⚡️ Speed up function funcA by 4,001%

[codeflash-ai]

📄 4,001% (40.01x) speedup for funcA in code_to_optimize/code_directories/simple_tracer_e2e/workload.py

⏱️ Runtime : 44.6 milliseconds → 1.09 milliseconds (best of 361 runs)

📝 Explanation and details

Here’s an optimized version of your program, preserving the function signature and return value. Key improvements.

• Removing the unnecessary for loop that only accumulates a value in k which is never used.
• Directly using " ".join(map(str, range(number))) is slightly more efficient than a generator expression in Python.
• Removed j because it's unused, but preserved the comment related to the previous improvement. If j must be retained for side-effects or debuggability, you may need to put it back, but as written, it isn't required.

This is the fastest and most memory-efficient equivalent.

✅ Correctness verification report:

Test	Status
⚙️ Existing Unit Tests	🔘 None Found
🌀 Generated Regression Tests	✅ 45 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 an empty string (no numbers)
    codeflash_output = funcA(0) # 3.00μs -> 1.89μs (58.7% faster)

def test_funcA_one():
    # Test with input 1: should return "0"
    codeflash_output = funcA(1) # 6.31μs -> 2.22μs (184% faster)

def test_funcA_small_number():
    # Test with a small positive integer
    codeflash_output = funcA(5) # 18.8μs -> 2.56μs (634% faster)

def test_funcA_typical_number():
    # Test with a typical number in the middle of the range
    codeflash_output = funcA(10) # 34.7μs -> 2.85μs (1117% faster)

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

def test_funcA_negative_number():
    # Negative input: should treat as range(negative) = empty, so output should be ""
    codeflash_output = funcA(-5) # 2.87μs -> 1.70μs (68.2% faster)

def test_funcA_large_number_capped_at_1000():
    # Input larger than 1000: should cap at 1000, so output is "0 1 2 ... 999"
    codeflash_output = funcA(1500); result = codeflash_output # 3.37ms -> 84.2μs (3901% faster)
    expected = " ".join(str(i) for i in range(1000))

def test_funcA_exactly_1000():
    # Input exactly 1000: should return "0 1 2 ... 999"
    codeflash_output = funcA(1000); result = codeflash_output # 3.36ms -> 76.6μs (4290% faster)
    expected = " ".join(str(i) for i in range(1000))

def test_funcA_just_below_cap():
    # Input just below the cap: 999
    codeflash_output = funcA(999); result = codeflash_output # 3.44ms -> 76.5μs (4389% faster)
    expected = " ".join(str(i) for i in range(999))

def test_funcA_non_integer_input():
    # Non-integer input: should raise TypeError
    with pytest.raises(TypeError):
        funcA("100")

def test_funcA_float_input():
    # Float input: should raise TypeError as range expects integer
    with pytest.raises(TypeError):
        funcA(5.5)

def test_funcA_bool_input():
    # Boolean input: True is 1, False is 0
    codeflash_output = funcA(True) # 6.61μs -> 2.41μs (174% faster)
    codeflash_output = funcA(False) # 1.73μs -> 992ns (74.7% faster)

def test_funcA_minimum_integer():
    # Test with minimum possible integer (simulate very negative number)
    codeflash_output = funcA(-999999) # 2.79μs -> 1.68μs (65.5% faster)

def test_funcA_maximum_integer():
    # Test with maximum possible integer (simulate very large number, should cap at 1000)
    codeflash_output = funcA(999999); result = codeflash_output # 3.40ms -> 77.2μs (4311% faster)
    expected = " ".join(str(i) for i in range(1000))

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

def test_funcA_large_scale_500():
    # Test with a large but not capped number: 500
    codeflash_output = funcA(500); result = codeflash_output # 1.66ms -> 39.2μs (4138% faster)
    expected = " ".join(str(i) for i in range(500))

def test_funcA_large_scale_999():
    # Test with 999: just below the cap
    codeflash_output = funcA(999); result = codeflash_output # 3.43ms -> 76.6μs (4385% faster)
    expected = " ".join(str(i) for i in range(999))

def test_funcA_large_scale_1000():
    # Test with 1000: at the cap
    codeflash_output = funcA(1000); result = codeflash_output # 3.42ms -> 76.0μs (4404% faster)
    expected = " ".join(str(i) for i in range(1000))

def test_funcA_performance_large_input():
    # Test that function completes in reasonable time for large input (1000)
    import time
    start = time.time()
    codeflash_output = funcA(1000); result = codeflash_output # 3.39ms -> 76.1μs (4355% faster)
    end = time.time()
    # Output should be correct
    expected = " ".join(str(i) for i in range(1000))

# --------------------------
# Additional Robustness Cases
# --------------------------

def test_funcA_input_is_none():
    # None input: should raise TypeError
    with pytest.raises(TypeError):
        funcA(None)

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

def test_funcA_input_is_dict():
    # Dict input: should raise TypeError
    with pytest.raises(TypeError):
        funcA({'number': 5})

def test_funcA_input_is_object():
    # Object input: should raise TypeError
    class Dummy: pass
    with pytest.raises(TypeError):
        funcA(Dummy())

def test_funcA_input_is_empty_string():
    # Empty string input: should raise TypeError
    with pytest.raises(TypeError):
        funcA("")

def test_funcA_input_is_bytes():
    # Bytes input: should raise TypeError
    with pytest.raises(TypeError):
        funcA(b"10")

# --------------------------
# Mutation Testing Guards
# --------------------------

def test_funcA_mutation_guard_missing_zero():
    # If the function starts from 1 instead of 0, this will fail
    codeflash_output = funcA(3) # 12.5μs -> 2.62μs (376% faster)

def test_funcA_mutation_guard_inclusive_range():
    # If the function uses range(number+1), this will fail
    codeflash_output = funcA(2) # 8.75μs -> 2.30μs (280% 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 number = 0 (should return empty string)
    codeflash_output = funcA(0) # 3.01μs -> 1.90μs (57.9% faster)

def test_funcA_one():
    # Test with number = 1 (should return "0")
    codeflash_output = funcA(1) # 6.21μs -> 2.24μs (177% faster)

def test_funcA_small_number():
    # Test with number = 5 (should return "0 1 2 3 4")
    codeflash_output = funcA(5) # 19.0μs -> 2.52μs (654% faster)

def test_funcA_typical_number():
    # Test with a typical number, e.g., 10
    codeflash_output = funcA(10) # 35.2μs -> 2.93μs (1103% faster)

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

def test_funcA_negative_number():
    # Test with negative number (should behave like 0)
    codeflash_output = funcA(-5) # 2.88μs -> 1.71μs (68.4% faster)

def test_funcA_large_number_cap():
    # Test with number greater than 1000 (should cap at 1000)
    codeflash_output = funcA(1500); result = codeflash_output # 3.44ms -> 78.4μs (4279% faster)
    expected = " ".join(str(i) for i in range(1000))

def test_funcA_exactly_1000():
    # Test with number exactly 1000 (should include 0 to 999)
    codeflash_output = funcA(1000); result = codeflash_output # 3.42ms -> 76.4μs (4384% faster)
    expected = " ".join(str(i) for i in range(1000))

def test_funcA_just_below_cap():
    # Test with number just below the cap (999)
    codeflash_output = funcA(999); result = codeflash_output # 3.41ms -> 76.0μs (4382% faster)
    expected = " ".join(str(i) for i in range(999))

def test_funcA_non_integer_input():
    # Test with a float input (should raise TypeError)
    with pytest.raises(TypeError):
        funcA(5.5)

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

def test_funcA_bool_input():
    # Test with boolean input (should treat True as 1, False as 0)
    codeflash_output = funcA(True) # 6.57μs -> 2.31μs (184% faster)
    codeflash_output = funcA(False) # 1.78μs -> 1.03μs (72.8% faster)

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

def test_funcA_large_scale_500():
    # Test with a large number (500)
    codeflash_output = funcA(500); result = codeflash_output # 1.63ms -> 39.5μs (4012% faster)
    expected = " ".join(str(i) for i in range(500))

def test_funcA_large_scale_999():
    # Test with a large number just below the cap (999)
    codeflash_output = funcA(999); result = codeflash_output # 3.43ms -> 77.3μs (4337% faster)
    expected = " ".join(str(i) for i in range(999))

def test_funcA_large_scale_performance():
    # Test with the maximum allowed number (1000), ensure it completes quickly and correctly
    codeflash_output = funcA(1000); result = codeflash_output # 3.39ms -> 76.5μs (4336% faster)
    expected = " ".join(str(i) for i in range(1000))

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

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

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

def test_funcA_input_is_dict():
    # Test with a dict as input (should raise TypeError)
    with pytest.raises(TypeError):
        funcA({'number': 5})

def test_funcA_input_is_zero_string():
    # Test with string "0" as input (should raise TypeError)
    with pytest.raises(TypeError):
        funcA("0")
# 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-mcl49wkg and push.