⚡️ Speed up function to_name by 117% in cli/codeflash/verification/test_results.py

[codeflash-ai]

📄 to_name() in cli/codeflash/verification/test_results.py

📈 Performance improved by 117% (1.17x faster)

⏱️ Runtime went down from 9.58 to 4.42
Show Details

Explanation and details

This version doesn't create a dict each time function is called. This reduces memory consumption and increases speed. Each enum name is directly mapped to its corresponding string without looking up in dictionary, this is more efficient and quicker in execution.

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Correctness verification

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

🔘 (none found) − ⚙️ Existing Unit Tests

✅ 1 Passed − 🌀 Generated Regression Tests

(click to show generated tests)

# imports
import pytest  # used for our unit tests
from enum import Enum
from codeflash.verification.test_results import TestType

# unit tests

# Test that the method returns the correct string for each defined enumeration member.
def test_to_name_existing_unit_test():
    assert TestType.EXISTING_UNIT_TEST.to_name() == "⚙️ Existing Unit Tests"

def test_to_name_inspired_regression():
    assert TestType.INSPIRED_REGRESSION.to_name() == "🎨 Inspired Regression Tests"

def test_to_name_generated_regression():
    assert TestType.GENERATED_REGRESSION.to_name() == "🌀 Generated Regression Tests"

# Test the behavior when the method is called on a member that is not in the `names` dictionary.
def test_to_name_undefined_member():
    with pytest.raises(KeyError):
        TestType(99).to_name()  # Assuming 99 is not a valid member

# Test the behavior when attempting to call `to_name` without an instance of the enum.
def test_to_name_without_instance():
    with pytest.raises(TypeError):
        TestType.to_name(TestType.EXISTING_UNIT_TEST)

# Test the behavior if the `TestType` enum class is modified at runtime.
def test_to_name_after_runtime_modification():
    TestType.NEW_UNIT_TEST = 4
    with pytest.raises(KeyError):
        TestType.NEW_UNIT_TEST.to_name()
    del TestType.NEW_UNIT_TEST  # Cleanup after test

# Test that the method only accepts valid `TestType` enumeration members and not other data types.
@pytest.mark.parametrize("invalid_value", [0, "EXISTING_UNIT_TEST", None, 3.14])
def test_to_name_with_invalid_types(invalid_value):
    with pytest.raises(TypeError):
        TestType.to_name(invalid_value)

# Test the behavior when the enum has duplicate values.
def test_to_name_duplicate_values():
    TestType.ALIAS_UNIT_TEST = TestType.EXISTING_UNIT_TEST
    assert TestType.ALIAS_UNIT_TEST.to_name() == "⚙️ Existing Unit Tests"
    del TestType.ALIAS_UNIT_TEST  # Cleanup after test

# Ensure that the tests produce deterministic results.
def test_to_name_deterministic_results():
    result1 = TestType.EXISTING_UNIT_TEST.to_name()
    result2 = TestType.EXISTING_UNIT_TEST.to_name()
    assert result1 == result2 == "⚙️ Existing Unit Tests"

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✅ Correctness Verification

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

Test Type	Status
⚙️ Existing Unit Tests	✅ 10 Passed, ❌ 2 Failed
🎨 Inspired Regression Tests	🔘 None Found
🌀 Generated Regression Tests	✅ 42 Passed
⏪ Replay Tests	🔘 None Found

Existing Unit Tests Details

Click to expand

• Test 1: Passed
• Test 2: Passed
• Test 3: Failed (Reason: IndexError)
• Test 4: Passed
• ...

Generated Regression Tests Details

Click to expand

• Test A: Passed
• Test B: Passed
• ...

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