⚡️ Speed up method Root.index by 44

[hoopinwhoopin]

📄 44% (0.44x) speedup for Root.index in examples/headers/app.py

⏱️ Runtime : 296 microseconds → 205 microseconds (best of 143 runs)

📝 Explanation and details
To optimize the given Python program for speed, we can make slight adjustments that focus on reducing object creation and improving memory usage. Here, we can avoid creating multiple objects unnecessarily.

Here is the optimized version of the program.

Explanation.

1. Precompute Headers:

   • Headers and the full response are precomputed once in the constructor (__init__) instead of being created each time index is called. This avoids recreating the list and its contents on each request, saving processing time and reducing memory usage.

2. Cached Response:

   • The full response is cached in the initialization, so the index method merely returns this precomputed response directly without any processing.

These changes improve the efficiency of the index method by reducing the workload to a simple return statement. This will help in decreasing the time complexity of serving requests.

✅ Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests ✅ 1020 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests ✅ 1 Passed
📊 Tests Coverage 100.0%
🌀 Generated Regression Tests Details

import time
from concurrent.futures import ThreadPoolExecutor

# imports
import pytest  # used for our unit tests
from examples.headers.app import Root
# function to test
from MicroPie import Server

# unit tests

# Basic Functionality




def test_no_side_effects(monkeypatch):
    """Ensure no side effects such as logging occur."""
    def mock_logging(*args, **kwargs):
        raise AssertionError("Logging should not be called")

    monkeypatch.setattr("logging.info", mock_logging)
    root = Root()
    root.index()

# Large Scale Test Cases

def test_stress():
    """Perform stress testing by sending a large number of requests."""
    root = Root()
    for _ in range(1000):
        status_code, content, headers = root.index()
# 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 examples.headers.app import Root
# function to test
from MicroPie import Server

# unit tests

def test_basic_functionality():
    # Create an instance of the Root class
    root = Root()
    
    # Call the index method
    status_code, body, headers = root.index()
    
    # Check the headers
    expected_headers = [
        ("Content-Type", "text/html"),
        ("X-Content-Type-Options", "nosniff"),
        ("X-Frame-Options", "DENY"),
        ("X-XSS-Protection", "1; mode=block"),
        ("Strict-Transport-Security", "max-age=31536000; includeSubDomains"),
        ("Content-Security-Policy", "default-src 'self'")
    ]

def test_response_headers():
    root = Root()
    _, _, headers = root.index()

def test_multiple_calls():
    root = Root()
    
    for _ in range(10):
        status_code, body, headers = root.index()


def test_determinism():
    root = Root()
    
    codeflash_output = root.index()
    codeflash_output = root.index()


def test_invalid_requests():
    root = Root()
    
    # Simulate an invalid request scenario
    # Since the function does not take any input, we cannot directly test invalid inputs
    # However, we can ensure that the function does not raise exceptions
    try:
        root.index()
    except Exception:
        pytest.fail("index() raised Exception unexpectedly!")

def test_unusual_user_agents():
    root = Root()
    
    # Simulate a request with an unusual User-Agent
    # Since the function does not take any input, we cannot directly test User-Agent handling
    # However, we can ensure that the function does not raise exceptions
    try:
        root.index()
    except Exception:
        pytest.fail("index() raised Exception unexpectedly!")

def test_resource_limits():
    root = Root()
    
    # Simulate low memory conditions
    # This is difficult to do directly, but we can ensure the function does not consume excessive memory
    import tracemalloc
    tracemalloc.start()
    
    root.index()
    
    current, peak = tracemalloc.get_traced_memory()
    tracemalloc.stop()

def test_time_based_attacks():
    root = Root()
    
    import timeit
    execution_time = timeit.timeit(root.index, number=100)



from examples.headers.app import Root

def test_Root_index():
    assert Root.index(Root()) == (200, '<b>hello world</b>', [('Content-Type', 'text/html'), ('X-Content-Type-Options', 'nosniff'), ('X-Frame-Options', 'DENY'), ('X-XSS-Protection', '1; mode=block'), ('Strict-Transport-Security', 'max-age=31536000; includeSubDomains'), ('Content-Security-Policy', "default-src 'self'")])

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✅ hoopinwhoopin
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