⚡️ Speed up get_set() by 51% in posthog/settings/utils.py

[codeflash-ai]

📄 get_set() in posthog/settings/utils.py

📈 Performance improved by 51% (0.51x faster)

⏱️ Runtime went down from 225.54μs to 149.08μs

Explanation and details

Your existing function is pretty efficient, as it already uses set comprehension which is quite speedy in Python. However, there could be a minor optimization if you use map instead of the generator expression. In Python, map() function is kind of faster than list comprehension because it directly produces a list instead of creating a generator first.

The optimized code looks like this.

Please note code readability is also important. If the performance gain of using map() over a generator is marginal or unnoticeable, it's fine to stick with the original implementation in order to have more readable code.

Correctness verification

The new optimized code was tested for correctness. The results are listed below.

🔘 (none found) − ⚙️ Existing Unit Tests

✅ 17 Passed − 🌀 Generated Regression Tests

(click to show generated tests)

# imports
import pytest  # used for our unit tests
from posthog.settings.utils import get_set

# unit tests

def test_single_item():
    # Test with a single item
    assert get_set("apple") == {"apple"}

def test_multiple_items():
    # Test with multiple items
    assert get_set("apple,banana,carrot") == {"apple", "banana", "carrot"}

def test_leading_trailing_whitespace():
    # Test with leading and trailing whitespace
    assert get_set(" apple , banana , carrot ") == {"apple", "banana", "carrot"}

def test_extra_spaces_between_items():
    # Test with extra spaces between items
    assert get_set("apple , banana , carrot") == {"apple", "banana", "carrot"}

def test_empty_string():
    # Test with an empty string
    assert get_set("") == set()

def test_identical_items():
    # Test with identical items
    assert get_set("apple,apple,banana") == {"apple", "banana"}

def test_identical_items_with_whitespace():
    # Test with identical items and whitespace
    assert get_set("apple, apple , banana ") == {"apple", "banana"}

def test_single_comma():
    # Test with a single comma
    assert get_set(",") == set()

def test_multiple_commas_no_items():
    # Test with multiple commas and no items
    assert get_set(",,,") == set()

def test_comma_at_end():
    # Test with a comma at the end
    assert get_set("apple,") == {"apple"}

def test_comma_at_beginning():
    # Test with a comma at the beginning
    assert get_set(",apple") == {"apple"}

def test_special_characters():
    # Test with special characters in items
    assert get_set("apple,banana,carrot!@#") == {"apple", "banana", "carrot!@#"}

def test_numbers_in_items():
    # Test with numbers in items
    assert get_set("apple,123,banana") == {"apple", "123", "banana"}

def test_large_number_of_items():
    # Test with a large number of items
    large_input = ",".join(["item{}".format(i) for i in range(1000)])
    expected_output = {"item{}".format(i) for i in range(1000)}
    assert get_set(large_input) == expected_output

def test_large_input_string():
    # Test with a large input string
    large_input = ",".join(["item"] * 1000)
    assert get_set(large_input) == {"item"}

def test_case_sensitivity():
    # Test with mixed case sensitivity
    assert get_set("apple,Apple,APPLE") == {"apple", "Apple", "APPLE"}

def test_non_string_input():
    # Test with non-string input (should raise TypeError)
    with pytest.raises(TypeError):
        get_set(None)

def test_unicode_characters():
    # Test with unicode characters
    assert get_set("apple,香蕉,🍎") == {"apple", "香蕉", "🍎"}