⚡️ Speed up method LineProfilerDecoratorAdder._matches_qualified_path by 258% in PR #35 (line-profiler)

[codeflash-ai]

⚡️ This pull request contains optimizations for PR #35

If you approve this dependent PR, these changes will be merged into the original PR branch line-profiler.

This PR will be automatically closed if the original PR is merged.

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📄 258% (2.58x) speedup for LineProfilerDecoratorAdder._matches_qualified_path in codeflash/code_utils/line_profile_utils.py

⏱️ Runtime : 129 microseconds → 36.0 microseconds (best of 418 runs)

📝 Explanation and details

To optimize the given Python program, let's focus on improving the efficiency and readability of the code by using more efficient operations and making a few structural improvements. Here's a more optimized version.

✅ Correctness verification report:

Test	Status
⚙️ Existing Unit Tests	🔘 None Found
🌀 Generated Regression Tests	✅ 80 Passed
⏪ Replay Tests	🔘 None Found
🔎 Concolic Coverage Tests	🔘 None Found
📊 Tests Coverage

🌀 Generated Regression Tests Details

import libcst as cst
# imports
import pytest  # used for our unit tests
from codeflash.code_utils.line_profile_utils import LineProfilerDecoratorAdder

# unit tests

def test_basic_exact_match():
    adder = LineProfilerDecoratorAdder("MyClass.nested_func.target_func", "decorator")
    adder.context_stack = ["MyClass", "nested_func", "target_func"]
    codeflash_output = adder._matches_qualified_path()

def test_basic_single_element_match():
    adder = LineProfilerDecoratorAdder("target_func", "decorator")
    adder.context_stack = ["target_func"]
    codeflash_output = adder._matches_qualified_path()

def test_basic_empty_match():
    adder = LineProfilerDecoratorAdder("", "decorator")
    adder.context_stack = []
    codeflash_output = adder._matches_qualified_path()

def test_non_matching_different_lengths():
    adder = LineProfilerDecoratorAdder("MyClass.nested_func.target_func", "decorator")
    adder.context_stack = ["MyClass", "nested_func"]
    codeflash_output = adder._matches_qualified_path()

def test_non_matching_different_elements():
    adder = LineProfilerDecoratorAdder("MyClass.nested_func.target_func", "decorator")
    adder.context_stack = ["MyClass", "nested_func", "another_func"]
    codeflash_output = adder._matches_qualified_path()

def test_edge_empty_context_stack():
    adder = LineProfilerDecoratorAdder("MyClass.nested_func.target_func", "decorator")
    adder.context_stack = []
    codeflash_output = adder._matches_qualified_path()

def test_edge_non_empty_context_stack_empty_qualified_name():
    adder = LineProfilerDecoratorAdder("", "decorator")
    adder.context_stack = ["MyClass", "nested_func", "target_func"]
    codeflash_output = adder._matches_qualified_path()

def test_edge_case_sensitivity():
    adder = LineProfilerDecoratorAdder("MyClass.nested_func.target_func", "decorator")
    adder.context_stack = ["myclass", "nested_func", "target_func"]
    codeflash_output = adder._matches_qualified_path()

def test_special_characters_underscores_and_numbers():
    adder = LineProfilerDecoratorAdder("My_Class_1.nested_func_2.target_func_3", "decorator")
    adder.context_stack = ["My_Class_1", "nested_func_2", "target_func_3"]
    codeflash_output = adder._matches_qualified_path()

def test_large_scale_long_context_stack():
    long_stack = ["Level" + str(i) for i in range(1, 101)]
    adder = LineProfilerDecoratorAdder(".".join(long_stack), "decorator")
    adder.context_stack = long_stack
    codeflash_output = adder._matches_qualified_path()

def test_null_values_in_context_stack():
    adder = LineProfilerDecoratorAdder("MyClass.nested_func.target_func", "decorator")
    adder.context_stack = [None, "nested_func", "target_func"]
    codeflash_output = adder._matches_qualified_path()

def test_mixed_data_types_in_context_stack():
    adder = LineProfilerDecoratorAdder("MyClass.123.target_func", "decorator")
    adder.context_stack = ["MyClass", 123, "target_func"]
    codeflash_output = adder._matches_qualified_path()

def test_whitespace_variations():
    adder = LineProfilerDecoratorAdder("MyClass.nested_func.target_func", "decorator")
    adder.context_stack = [" MyClass", "nested_func", "target_func "]
    codeflash_output = adder._matches_qualified_path()

def test_special_unicode_characters():
    adder = LineProfilerDecoratorAdder("MyCläss.nested_func.target_func", "decorator")
    adder.context_stack = ["MyCläss", "nested_func", "target_func"]
    codeflash_output = adder._matches_qualified_path()

def test_empty_strings_in_lists():
    adder = LineProfilerDecoratorAdder("MyClass..target_func", "decorator")
    adder.context_stack = ["MyClass", "", "target_func"]
    codeflash_output = adder._matches_qualified_path()

def test_duplicate_elements_in_context_stack():
    adder = LineProfilerDecoratorAdder("MyClass.nested_func.target_func", "decorator")
    adder.context_stack = ["MyClass", "nested_func", "nested_func", "target_func"]
    codeflash_output = adder._matches_qualified_path()

def test_special_characters_and_symbols():
    adder = LineProfilerDecoratorAdder("[email protected]_func#", "decorator")
    adder.context_stack = ["MyClass$", "nested_func@", "target_func#"]
    codeflash_output = adder._matches_qualified_path()
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.

import libcst as cst
# imports
import pytest  # used for our unit tests
from codeflash.code_utils.line_profile_utils import LineProfilerDecoratorAdder

# unit tests

@pytest.fixture
def transformer():
    """Fixture to create a transformer with a sample qualified name and decorator name."""
    return LineProfilerDecoratorAdder("MyClass.nested_func.target_func", "my_decorator")

def test_exact_match(transformer):
    """Test exact match scenario."""
    transformer.context_stack = ["MyClass", "nested_func", "target_func"]
    codeflash_output = transformer._matches_qualified_path()

def test_single_element_match(transformer):
    """Test single element match scenario."""
    transformer.context_stack = ["target_func"]
    transformer.qualified_name_parts = ["target_func"]
    codeflash_output = transformer._matches_qualified_path()

def test_context_stack_longer(transformer):
    """Test context stack longer than qualified name parts."""
    transformer.context_stack = ["MyClass", "nested_func", "target_func", "extra"]
    codeflash_output = transformer._matches_qualified_path()

def test_qualified_name_parts_longer(transformer):
    """Test qualified name parts longer than context stack."""
    transformer.context_stack = ["MyClass", "nested_func"]
    codeflash_output = transformer._matches_qualified_path()

def test_first_element_mismatch(transformer):
    """Test first element mismatch scenario."""
    transformer.context_stack = ["OtherClass", "nested_func", "target_func"]
    codeflash_output = transformer._matches_qualified_path()

def test_middle_element_mismatch(transformer):
    """Test middle element mismatch scenario."""
    transformer.context_stack = ["MyClass", "other_func", "target_func"]
    codeflash_output = transformer._matches_qualified_path()

def test_last_element_mismatch(transformer):
    """Test last element mismatch scenario."""
    transformer.context_stack = ["MyClass", "nested_func", "other_func"]
    codeflash_output = transformer._matches_qualified_path()

def test_both_empty(transformer):
    """Test both context stack and qualified name parts empty."""
    transformer.context_stack = []
    transformer.qualified_name_parts = []
    codeflash_output = transformer._matches_qualified_path()

def test_empty_context_stack(transformer):
    """Test empty context stack."""
    transformer.context_stack = []
    codeflash_output = transformer._matches_qualified_path()

def test_empty_qualified_name_parts(transformer):
    """Test empty qualified name parts."""
    transformer.qualified_name_parts = []
    transformer.context_stack = ["MyClass", "nested_func", "target_func"]
    codeflash_output = transformer._matches_qualified_path()

def test_case_sensitivity(transformer):
    """Test case sensitivity scenario."""
    transformer.context_stack = ["myclass", "nested_func", "target_func"]
    codeflash_output = transformer._matches_qualified_path()

def test_special_characters(transformer):
    """Test special characters scenario."""
    transformer.context_stack = ["MyClass$", "nested_func@", "target_func#"]
    transformer.qualified_name_parts = ["MyClass$", "nested_func@", "target_func#"]
    codeflash_output = transformer._matches_qualified_path()

def test_large_matching_lists():
    """Test large matching lists scenario."""
    context_stack = ["Class" + str(i) for i in range(1000)]
    qualified_name_parts = ["Class" + str(i) for i in range(1000)]
    transformer = LineProfilerDecoratorAdder(".".join(qualified_name_parts), "my_decorator")
    transformer.context_stack = context_stack
    codeflash_output = transformer._matches_qualified_path()

def test_large_non_matching_lists():
    """Test large non-matching lists scenario."""
    context_stack = ["Class" + str(i) for i in range(1000)]
    qualified_name_parts = ["Class" + str(i) for i in range(999)] + ["DifferentClass"]
    transformer = LineProfilerDecoratorAdder(".".join(qualified_name_parts), "my_decorator")
    transformer.context_stack = context_stack
    codeflash_output = transformer._matches_qualified_path()

def test_non_string_elements(transformer):
    """Test non-string elements scenario."""
    transformer.context_stack = ["MyClass", 123, "target_func"]
    transformer.qualified_name_parts = ["MyClass", "123", "target_func"]
    codeflash_output = transformer._matches_qualified_path()

def test_mixed_types(transformer):
    """Test mixed types scenario."""
    transformer.context_stack = ["MyClass", None, "target_func"]
    transformer.qualified_name_parts = ["MyClass", "None", "target_func"]
    codeflash_output = transformer._matches_qualified_path()

def test_whitespace_elements(transformer):
    """Test whitespace elements scenario."""
    transformer.context_stack = ["MyClass", " ", "target_func"]
    transformer.qualified_name_parts = ["MyClass", " ", "target_func"]
    codeflash_output = transformer._matches_qualified_path()

def test_empty_string_elements(transformer):
    """Test empty string elements scenario."""
    transformer.context_stack = ["MyClass", "", "target_func"]
    transformer.qualified_name_parts = ["MyClass", "", "target_func"]
    codeflash_output = transformer._matches_qualified_path()

def test_unicode_characters(transformer):
    """Test unicode characters scenario."""
    transformer.context_stack = ["MyClass", "nested_func", "targét_func"]
    transformer.qualified_name_parts = ["MyClass", "nested_func", "targét_func"]
    codeflash_output = transformer._matches_qualified_path()

def test_large_strings(transformer):
    """Test very large strings scenario."""
    transformer.context_stack = ["MyClass", "nested_func", "target_func" * 1000]
    transformer.qualified_name_parts = ["MyClass", "nested_func", "target_func" * 1000]
    codeflash_output = transformer._matches_qualified_path()

def test_symbols_in_context_stack(transformer):
    """Test symbols in context stack scenario."""
    transformer.context_stack = ["MyClass", "nested_func$", "target_func!"]
    transformer.qualified_name_parts = ["MyClass", "nested_func$", "target_func!"]
    codeflash_output = transformer._matches_qualified_path()

def test_emoji_in_context_stack(transformer):
    """Test emoji in context stack scenario."""
    transformer.context_stack = ["MyClass", "nested_func", "target_func😊"]
    transformer.qualified_name_parts = ["MyClass", "nested_func", "target_func😊"]
    codeflash_output = transformer._matches_qualified_path()

def test_non_ascii_identifiers(transformer):
    """Test non-ASCII identifiers scenario."""
    transformer.context_stack = ["MyClass", "nested_func", "ターゲット_func"]
    transformer.qualified_name_parts = ["MyClass", "nested_func", "ターゲット_func"]
    codeflash_output = transformer._matches_qualified_path()
# 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-pr35-2025-03-31T18.14.40 and push.

[alvin-r]

interestingly, the extra changes seem to be formatting related. even the changes to path stuff can be triggered by ruff. i'm not sure what's going on because the ruff format settings in our pyproject.toml don't seem to have the settings for changing that. also, if anything, it should be changing from 'with open(file)' to Path.open(), not the other way around...

[codeflash-ai]

This PR has been automatically closed because the original PR #35 by aseembits93 was closed.