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@codeflash-ai codeflash-ai bot commented Feb 4, 2026

⚡️ This pull request contains optimizations for PR #1199

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

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


📄 17% (0.17x) speedup for is_test_file in codeflash/languages/java/test_discovery.py

⏱️ Runtime : 609 microseconds 521 microseconds (best of 220 runs)

📝 Explanation and details

The optimized code achieves a 16% runtime improvement by reducing per-call overhead through two key optimizations:

What Changed

  1. Module-level constants: The tuples ("Test.java", "Tests.java") and ("test", "tests", "src/test") are now defined once as module-level constants (_TEST_NAME_SUFFIXES and _TEST_DIRS frozenset) instead of being recreated on every function call.

  2. Explicit loop vs. generator: Replaced any(part in (...) for part in path_parts) with an explicit for loop that returns True immediately upon finding a match, avoiding generator object creation overhead.

Why This Is Faster

Constant reuse eliminates repeated allocations: In the original code, Python creates new tuple objects for ("Test.java", "Tests.java") and ("test", "tests", "src/test") on every function invocation. With 2,851 calls in the profiler trace, this means ~5,700 tuple allocations. The optimized version defines these once at module load time, eliminating this overhead entirely.

Explicit loops reduce Python interpreter overhead: The any() builtin with a generator expression involves:

  • Creating a generator object
  • Iterator protocol overhead (calling __next__ repeatedly)
  • Exception handling when the generator exhausts

An explicit for loop with early return is more direct and avoids generator object allocation. The line profiler confirms this: the original's any() line took 2.47ms total, while the optimized explicit loop operations take 1.08ms + 0.92ms = 2.0ms total—a measurable improvement.

Frozenset lookups are optimized: Converting the test directory names to a frozenset enables O(1) average-case membership testing versus linear scanning through a tuple.

Performance Characteristics

The annotated tests reveal this optimization particularly excels when:

  • Directory checking dominates (25-50% speedups): Cases like Path("project/test/com/Example.java") show 25.6% improvement because the directory check now benefits from both the frozenset lookup and explicit loop efficiency
  • Deep path traversal (30-46% speedups): Paths like Path("a/b/c/d/e/f/test/MyClass.java") gain 36% because the explicit loop can exit early once 'test' is found
  • Non-test files (11-20% speedups): Even paths that must fully traverse all parts benefit from reduced overhead

The optimization shows slight regressions (1-9% slower) in simple naming pattern cases like Path("Test.java") because the constant lookup adds minimal overhead for already-fast operations, but these are rare and the overall workload shows strong net improvement.

Impact on Existing Workloads

Based on function_references, this function is called from test discovery code paths that process potentially hundreds or thousands of files when scanning Java projects. The function determines whether files should be included in test suites, making it a hot path during:

  • Project-wide test discovery
  • Build system integration
  • IDE test runner initialization

The 16% runtime reduction directly translates to faster test discovery, which is valuable in CI/CD pipelines and developer workflows where test scanning happens frequently. The optimization is especially beneficial for large Java codebases with deep directory structures, as evidenced by the 30-50% improvements on nested path cases.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 569 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 100.0%
🌀 Click to see Generated Regression Tests
from __future__ import annotations

from pathlib import Path

# imports
import pytest  # used for our unit tests
from codeflash.languages.java.test_discovery import is_test_file

def test_basic_name_patterns_endings_and_prefixes():
    # File ending with Test.java should be detected
    codeflash_output = is_test_file(Path("MyFeatureTest.java")) # 1.26μs -> 1.35μs (6.73% slower)

    # File ending with Tests.java should be detected
    codeflash_output = is_test_file(Path("MyFeatureTests.java")) # 611ns -> 602ns (1.50% faster)

    # File starting with Test and ending with .java should be detected
    codeflash_output = is_test_file(Path("TestMyFeature.java")) # 721ns -> 781ns (7.68% slower)

    # Exactly "Test.java" should be detected (both start and end rules cover this)
    codeflash_output = is_test_file(Path("Test.java")) # 391ns -> 431ns (9.28% slower)

    # A non-java file that starts with Test should NOT be detected
    codeflash_output = is_test_file(Path("TestNotJava.txt")) # 3.04μs -> 2.52μs (20.6% faster)

    # A file that contains 'Test' but neither starts with Test nor ends with Test.java should NOT be detected
    codeflash_output = is_test_file(Path("MyTested.java")) # 1.69μs -> 1.42μs (19.1% faster)

def test_basic_directory_patterns():
    # File inside a "test" directory should be detected
    codeflash_output = is_test_file(Path("project/test/com/Example.java")) # 4.28μs -> 3.41μs (25.6% faster)

    # File inside a "tests" directory should be detected
    codeflash_output = is_test_file(Path("project/tests/com/Example.java")) # 2.37μs -> 1.67μs (41.9% faster)

    # File under src/test (as separate parts 'src' and 'test') should be detected because 'test' is a part
    codeflash_output = is_test_file(Path("src/test/java/com/Example.java")) # 1.86μs -> 1.56μs (19.2% faster)

    # A file whose path contains the substring 'contest' should NOT be considered a test dir just because it contains 'test'
    codeflash_output = is_test_file(Path("project/contest/com/Example.java")) # 1.80μs -> 1.34μs (34.4% faster)

def test_case_sensitivity_and_exact_part_matching():
    # Directory named 'Test' (capital T) should NOT match since check is case-sensitive and looks for 'test'
    codeflash_output = is_test_file(Path("Project/Test/Example.java")) # 3.89μs -> 3.33μs (16.9% faster)

    # File name starting with lowercase 'test' should NOT match the 'Test' prefix rule
    codeflash_output = is_test_file(Path("testExample.java")) # 1.97μs -> 1.67μs (18.0% faster)

    # File name exactly 'test' (no extension) as the final part should match because a path part equals 'test'
    # This checks that the directory/file name being 'test' will be considered as a test indicator
    codeflash_output = is_test_file(Path("some/path/test")) # 2.32μs -> 1.55μs (49.6% faster)

    # File name exactly 'tests' (no extension) as the final part should match as well
    codeflash_output = is_test_file(Path("some/path/tests")) # 1.85μs -> 1.32μs (40.2% faster)

    # A filename that includes 'src/test' as text within a single path part is practically impossible on most systems
    # but the function explicitly looks for the literal 'src/test' part; ensure typical paths with 'src' and 'test'
    # as separate parts still return True because 'test' is an element of .parts
    codeflash_output = is_test_file(Path("src/test/Example.java")) # 1.72μs -> 1.33μs (29.4% faster)

def test_near_matches_do_not_trigger_false_positive():
    # 'contest' should not be treated as 'test' directory
    codeflash_output = is_test_file(Path("contest/TestHelper.java")) # 1.48μs -> 1.59μs (7.03% slower)

    # A file whose name ends with "Test.jav" (typo) should not be considered a test file
    codeflash_output = is_test_file(Path("MyFeatureTest.jav")) # 2.94μs -> 2.54μs (16.2% faster)

    # A file that contains "Tests" inside but not at the end should not match the naming rules
    codeflash_output = is_test_file(Path("MyTestsExtra.java")) # 1.68μs -> 1.39μs (20.9% faster)

    # A file named 'Test' but with different extension should still not be matched by the name rules,
    # but if the path contains 'test' as a part it will match; this one ensures extension matters for the name checks
    codeflash_output = is_test_file(Path("Test.txt")) # 1.64μs -> 1.38μs (18.8% faster)

def test_large_scale_mixed_paths():
    # Prepare a deterministic set of 500 paths mixing positives and negatives
    total = 500
    true_count_expected = 0
    false_count_expected = 0
    results = []

    # Construct predictable patterns:
    # - Even indices: "TestFile{i}.java" -> should be True (prefix rule)
    # - Every 5th index: include 'test' directory in path -> ensures directory detection
    # - Multiples of 7: "My{i}Tests.java" -> should be True (endswith Tests.java)
    # - Others: "File{i}.java" (no test indicators) -> False
    for i in range(total):
        if i % 7 == 0:
            # Ends with Tests.java -> True
            p = Path(f"project/module/My{i}Tests.java")
            expected = True
        elif i % 2 == 0:
            # Starts with Test and ends with .java -> True
            p = Path(f"project/module/TestFile{i}.java")
            expected = True
        else:
            # Non-test name -> False by default
            p = Path(f"project/module/File{i}.java")
            expected = False

        # Introduce a 'test' directory in several paths
        if i % 5 == 0:
            # Insert a 'test' directory in the path; this should cause detection regardless of filename
            p = Path("root") / "test" / p.name
            expected = True

        # Collect expected counts for validation
        if expected:
            true_count_expected += 1
        else:
            false_count_expected += 1

        results.append((p, expected))

    # Execute the checks and count results to ensure all behave as expected
    true_count = 0
    false_count = 0
    for p, expected in results:
        codeflash_output = is_test_file(p); result = codeflash_output # 444μs -> 383μs (15.9% faster)
        if result:
            true_count += 1
        else:
            false_count += 1

def test_combined_name_and_directory_cases():
    # A file that both is in a 'test' directory and also matches naming rules should obviously be True
    codeflash_output = is_test_file(Path("test/TestCombined.java")) # 1.57μs -> 1.64μs (4.38% slower)

    # A file with lowercase directory 'tests' but name that partially matches should be True due to dir
    codeflash_output = is_test_file(Path("src/tests/MyFeature.java")) # 3.81μs -> 2.77μs (37.7% faster)

    # Directory named 'src' + subdir 'test' in the middle should be detected
    codeflash_output = is_test_file(Path("some/src/test/something/Feature.java")) # 2.33μs -> 1.69μs (37.9% faster)

    # A path where only an inner directory name includes 'test' as a substring should NOT match
    codeflash_output = is_test_file(Path("some/contest/Feature.java")) # 1.85μs -> 1.45μs (27.5% faster)
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
from pathlib import Path

import pytest
from codeflash.languages.java.test_discovery import is_test_file

class TestBasicNamingPatterns:
    """Test basic file naming patterns that indicate test files."""

    def test_ends_with_test_java(self):
        """Test files ending with 'Test.java' should be identified as test files."""
        file_path = Path("MyClassTest.java")
        codeflash_output = is_test_file(file_path) # 1.54μs -> 1.37μs (12.4% faster)

    def test_ends_with_tests_java(self):
        """Test files ending with 'Tests.java' should be identified as test files."""
        file_path = Path("MyClassTests.java")
        codeflash_output = is_test_file(file_path) # 1.30μs -> 1.32μs (1.51% slower)

    def test_starts_with_test_and_ends_with_java(self):
        """Test files starting with 'Test' and ending with '.java' should be identified."""
        file_path = Path("TestMyClass.java")
        codeflash_output = is_test_file(file_path) # 1.53μs -> 1.56μs (1.98% slower)

    def test_starts_with_test_multiple_words(self):
        """Test files with multiple words after 'Test' prefix should be identified."""
        file_path = Path("TestMyComplexClass.java")
        codeflash_output = is_test_file(file_path) # 1.51μs -> 1.54μs (1.94% slower)

    def test_not_test_file_regular_java(self):
        """Regular Java files should not be identified as test files."""
        file_path = Path("MyClass.java")
        codeflash_output = is_test_file(file_path) # 3.68μs -> 3.29μs (11.9% faster)

    def test_not_test_file_test_in_middle(self):
        """Files with 'Test' in the middle but not matching patterns should not be identified."""
        file_path = Path("MyTestClass.java")
        codeflash_output = is_test_file(file_path) # 3.56μs -> 3.06μs (16.1% faster)

class TestTestDirectoryPatterns:
    """Test directory-based identification of test files."""

    def test_file_in_test_directory(self):
        """Files in 'test' directory should be identified as test files."""
        file_path = Path("src/test/MyClass.java")
        codeflash_output = is_test_file(file_path) # 4.07μs -> 3.22μs (26.5% faster)

    def test_file_in_tests_directory(self):
        """Files in 'tests' directory should be identified as test files."""
        file_path = Path("src/tests/MyClass.java")
        codeflash_output = is_test_file(file_path) # 3.90μs -> 3.10μs (25.9% faster)

    def test_file_in_src_test_directory(self):
        """Files in 'src/test' directory should be identified as test files."""
        file_path = Path("src/src/test/MyClass.java")
        codeflash_output = is_test_file(file_path) # 4.07μs -> 3.07μs (32.7% faster)

    def test_nested_in_test_directory(self):
        """Files deeply nested in test directory should be identified."""
        file_path = Path("project/src/test/com/example/MyClass.java")
        codeflash_output = is_test_file(file_path) # 3.91μs -> 3.20μs (22.3% faster)

    def test_test_as_directory_name_anywhere(self):
        """'test' directory anywhere in path should identify file as test file."""
        file_path = Path("test/MyClass.java")
        codeflash_output = is_test_file(file_path) # 3.69μs -> 2.91μs (26.9% faster)

    def test_tests_as_directory_name_anywhere(self):
        """'tests' directory anywhere in path should identify file as test file."""
        file_path = Path("tests/MyClass.java")
        codeflash_output = is_test_file(file_path) # 3.68μs -> 2.93μs (25.7% faster)

class TestEdgeCasesCombinations:
    """Test edge cases where naming patterns and directories combine."""

    def test_test_naming_and_test_directory(self):
        """File with test naming pattern in test directory should be identified."""
        file_path = Path("src/test/TestMyClass.java")
        codeflash_output = is_test_file(file_path) # 1.46μs -> 1.43μs (2.16% faster)

    def test_test_suffix_and_test_directory(self):
        """File ending with Test.java in test directory should be identified."""
        file_path = Path("src/test/MyClassTest.java")
        codeflash_output = is_test_file(file_path) # 1.16μs -> 1.21μs (4.13% slower)

    def test_regular_file_in_test_directory_without_test_name(self):
        """Regular file name in test directory should be identified as test file."""
        file_path = Path("src/test/Helper.java")
        codeflash_output = is_test_file(file_path) # 4.07μs -> 3.23μs (26.1% faster)

    def test_multiple_test_directories_in_path(self):
        """Path with multiple 'test' occurrences should be identified."""
        file_path = Path("test/src/test/MyClass.java")
        codeflash_output = is_test_file(file_path) # 3.80μs -> 3.03μs (25.5% faster)

class TestEdgeCasesNaming:
    """Test edge cases in file naming patterns."""

    def test_test_java_file_with_no_prefix(self):
        """File named exactly 'Test.java' should be identified."""
        file_path = Path("Test.java")
        codeflash_output = is_test_file(file_path) # 1.17μs -> 1.23μs (4.95% slower)

    def test_tests_java_file_with_no_prefix(self):
        """File named exactly 'Tests.java' should be identified."""
        file_path = Path("Tests.java")
        codeflash_output = is_test_file(file_path) # 1.17μs -> 1.24μs (5.56% slower)

    def test_case_sensitive_test_prefix(self):
        """Test prefix checking should be case-sensitive (lowercase 'test' not matched by prefix)."""
        file_path = Path("testMyClass.java")
        # This file starts with lowercase 'test', not uppercase 'Test'
        # So it should NOT match the "starts with Test" pattern
        codeflash_output = is_test_file(file_path) # 3.58μs -> 3.09μs (15.9% faster)

    def test_case_sensitive_test_suffix(self):
        """Test suffix checking should be case-sensitive."""
        file_path = Path("MyClasstest.java")
        # Ends with lowercase 'test', not 'Test'
        codeflash_output = is_test_file(file_path) # 3.39μs -> 3.00μs (13.1% faster)

    def test_file_with_test_in_name_but_different_extension(self):
        """File with Test in name but different extension should not be identified."""
        file_path = Path("MyTest.txt")
        codeflash_output = is_test_file(file_path) # 3.32μs -> 2.88μs (14.9% faster)

    def test_file_with_test_java_but_extra_extension(self):
        """File with extra extension after .java should not be identified."""
        file_path = Path("MyTest.java.bak")
        codeflash_output = is_test_file(file_path) # 3.41μs -> 2.92μs (16.9% faster)

    def test_test_java_case_insensitive_extension(self):
        """File with uppercase extension should not match .java pattern."""
        file_path = Path("MyTest.JAVA")
        codeflash_output = is_test_file(file_path) # 3.38μs -> 2.94μs (14.6% faster)

    def test_very_long_test_file_name(self):
        """File with very long name ending in Test.java should be identified."""
        long_name = "A" * 200 + "Test.java"
        file_path = Path(long_name)
        codeflash_output = is_test_file(file_path) # 1.16μs -> 1.24μs (6.44% slower)

    def test_special_characters_in_test_file_name(self):
        """File with special characters in name but proper test suffix should be identified."""
        file_path = Path("MyClass$InnerTest.java")
        codeflash_output = is_test_file(file_path) # 1.10μs -> 1.20μs (8.32% slower)

    def test_numbers_in_test_file_name(self):
        """File with numbers in name but proper test suffix should be identified."""
        file_path = Path("MyClass123Test.java")
        codeflash_output = is_test_file(file_path) # 1.12μs -> 1.22μs (8.26% slower)

class TestEdgeCasesDirectories:
    """Test edge cases related to directory structures."""

    def test_test_as_file_name_not_directory(self):
        """'test' as a directory component should be matched, not just filename."""
        file_path = Path("src/test")
        # 'test' is in path_parts, so it should return True
        codeflash_output = is_test_file(file_path) # 4.20μs -> 3.31μs (27.0% faster)

    def test_tests_as_single_directory(self):
        """'tests' as a single directory path should be identified."""
        file_path = Path("tests")
        codeflash_output = is_test_file(file_path) # 3.92μs -> 3.02μs (29.9% faster)

    def test_root_path_with_test_directory(self):
        """Root-level 'test' directory should be matched."""
        file_path = Path("test/MyClass.java")
        codeflash_output = is_test_file(file_path) # 3.76μs -> 2.90μs (29.7% faster)

    def test_src_test_as_exact_path_component(self):
        """'src/test' should match as a path component."""
        file_path = Path("src/src/test/MyClass.java")
        codeflash_output = is_test_file(file_path) # 3.96μs -> 3.12μs (27.0% faster)

    def test_test_with_numbers_in_directory(self):
        """Directory 'test' containing numbers should still be matched."""
        file_path = Path("src/test123/MyClass.java")
        # 'test123' is not exactly 'test', so should not match
        codeflash_output = is_test_file(file_path) # 3.64μs -> 3.15μs (15.6% faster)

    def test_test_as_substring_of_directory(self):
        """Directory with 'test' as substring but not exact match should not match."""
        file_path = Path("src/testing/MyClass.java")
        # 'testing' is not exactly 'test'
        codeflash_output = is_test_file(file_path) # 3.54μs -> 3.17μs (11.7% faster)

    def test_test_with_path_separator_as_substring(self):
        """Directory part should be exact match, not substring matching."""
        file_path = Path("src/mytest/MyClass.java")
        # 'mytest' contains 'test' but is not exactly 'test'
        codeflash_output = is_test_file(file_path) # 3.57μs -> 3.12μs (14.1% faster)

    def test_deeply_nested_test_directory(self):
        """Test file in deeply nested structure should be identified."""
        file_path = Path("a/b/c/d/e/f/test/MyClass.java")
        codeflash_output = is_test_file(file_path) # 4.31μs -> 3.17μs (36.1% faster)

    def test_test_directory_deep_in_path(self):
        """'test' directory anywhere in deep path should match."""
        file_path = Path("a/b/test/c/d/e/f/g/MyClass.java")
        codeflash_output = is_test_file(file_path) # 4.05μs -> 3.04μs (33.3% faster)

class TestEdgeCasesEmpty:
    """Test edge cases with empty or minimal paths."""

    def test_single_file_test_suffix(self):
        """Single file with Test suffix (no directory) should be identified."""
        file_path = Path("MyTest.java")
        codeflash_output = is_test_file(file_path) # 1.20μs -> 1.20μs (0.000% faster)

    def test_single_file_test_prefix(self):
        """Single file with Test prefix (no directory) should be identified."""
        file_path = Path("TestClass.java")
        codeflash_output = is_test_file(file_path) # 1.47μs -> 1.55μs (5.15% slower)

    def test_single_file_regular_name(self):
        """Single regular file without test indicators should not be identified."""
        file_path = Path("MyClass.java")
        codeflash_output = is_test_file(file_path) # 3.50μs -> 3.07μs (14.1% faster)

class TestLargeScalePerformance:
    """Test performance and scalability with large data samples."""

    def test_many_files_with_test_naming(self):
        """Performance test: many files with test naming pattern."""
        # Create 500 test files with various naming patterns
        test_files = []
        for i in range(500):
            test_files.append(Path(f"MyClass{i}Test.java"))
        
        # All should be identified as test files
        results = [is_test_file(f) for f in test_files]

    def test_many_files_mixed_patterns(self):
        """Performance test: many files with mixed naming patterns."""
        # Create 300 test files and 200 non-test files
        test_files = []
        non_test_files = []
        
        for i in range(300):
            test_files.append(Path(f"TestClass{i}.java"))
        
        for i in range(200):
            non_test_files.append(Path(f"MyClass{i}.java"))
        
        # Test files should all return True
        test_results = [is_test_file(f) for f in test_files]
        
        # Non-test files should all return False
        non_test_results = [is_test_file(f) for f in non_test_files]

    def test_deeply_nested_paths_scalability(self):
        """Performance test: files in deeply nested directory structures."""
        # Create paths with varying depths
        test_cases = []
        for depth in range(1, 51):  # Test depths from 1 to 50
            path_parts = ["dir"] * depth + ["MyClass.java"]
            test_cases.append(Path(*path_parts))
        
        # None of these should be test files (no test directory)
        results = [is_test_file(p) for p in test_cases]

    def test_deeply_nested_with_test_directory(self):
        """Performance test: deeply nested paths with 'test' directory at various depths."""
        # Create paths where 'test' is at different depths
        test_cases = []
        for depth in range(1, 31):  # Test 30 different depths
            # Insert 'test' at different positions
            path_parts = ["dir"] * depth + ["test"] + ["dir"] * (30 - depth) + ["MyClass.java"]
            test_cases.append(Path(*path_parts))
        
        # All should be identified as test files
        results = [is_test_file(p) for p in test_cases]

    def test_many_different_naming_patterns(self):
        """Performance test: many different test naming pattern combinations."""
        # Test various combinations of test naming patterns
        patterns = [
            ("MyTest.java", True),
            ("MyTests.java", True),
            ("TestMy.java", True),
            ("TestMyClass.java", True),
            ("ComplexTest.java", True),
            ("ComplexTests.java", True),
            ("My.java", False),
            ("MyClass.java", False),
            ("testMy.java", False),
        ]
        
        results = [(is_test_file(Path(name)), expected) for name, expected in patterns]

    def test_directory_matching_scalability(self):
        """Performance test: multiple directory patterns."""
        # Create 200 test cases with various directory patterns
        test_cases = []
        
        # 100 with 'test' directory
        for i in range(100):
            test_cases.append(Path(f"src/test/MyClass{i}.java"))
        
        # 50 with 'tests' directory
        for i in range(50):
            test_cases.append(Path(f"src/tests/MyClass{i}.java"))
        
        # 50 with 'src/test' pattern
        for i in range(50):
            test_cases.append(Path(f"src/src/test/MyClass{i}.java"))
        
        # All should return True
        results = [is_test_file(p) for p in test_cases]

    def test_large_path_with_many_components(self):
        """Performance test: single path with very many directory components."""
        # Create a path with 100 directory components
        path_parts = ["dir"] * 50 + ["test"] + ["subdir"] * 49 + ["MyClass.java"]
        file_path = Path(*path_parts)
        
        # Should identify as test file due to 'test' directory
        codeflash_output = is_test_file(file_path) # 6.67μs -> 4.55μs (46.7% faster)

    def test_bulk_validation_mixed_content(self):
        """Performance test: bulk validation of large mixed file set."""
        # Create a large set with various patterns
        paths = []
        expected = []
        
        # Test naming patterns
        for i in range(250):
            paths.append(Path(f"Class{i}Test.java"))
            expected.append(True)
            paths.append(Path(f"Test{i}Class.java"))
            expected.append(True)
            paths.append(Path(f"MyClass{i}.java"))
            expected.append(False)
            paths.append(Path(f"test/Class{i}.java"))
            expected.append(True)
        
        # Validate all at once
        results = [is_test_file(p) for p in paths]
# 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-pr1199-2026-02-04T07.10.04 and push.

Codeflash Static Badge

The optimized code achieves a **16% runtime improvement** by reducing per-call overhead through two key optimizations:

## What Changed

1. **Module-level constants**: The tuples `("Test.java", "Tests.java")` and `("test", "tests", "src/test")` are now defined once as module-level constants (`_TEST_NAME_SUFFIXES` and `_TEST_DIRS` frozenset) instead of being recreated on every function call.

2. **Explicit loop vs. generator**: Replaced `any(part in (...) for part in path_parts)` with an explicit `for` loop that returns `True` immediately upon finding a match, avoiding generator object creation overhead.

## Why This Is Faster

**Constant reuse eliminates repeated allocations**: In the original code, Python creates new tuple objects for `("Test.java", "Tests.java")` and `("test", "tests", "src/test")` on every function invocation. With 2,851 calls in the profiler trace, this means ~5,700 tuple allocations. The optimized version defines these once at module load time, eliminating this overhead entirely.

**Explicit loops reduce Python interpreter overhead**: The `any()` builtin with a generator expression involves:
- Creating a generator object
- Iterator protocol overhead (calling `__next__` repeatedly)
- Exception handling when the generator exhausts

An explicit `for` loop with early return is more direct and avoids generator object allocation. The line profiler confirms this: the original's `any()` line took 2.47ms total, while the optimized explicit loop operations take 1.08ms + 0.92ms = 2.0ms total—a measurable improvement.

**Frozenset lookups are optimized**: Converting the test directory names to a `frozenset` enables O(1) average-case membership testing versus linear scanning through a tuple.

## Performance Characteristics

The annotated tests reveal this optimization particularly excels when:
- **Directory checking dominates** (25-50% speedups): Cases like `Path("project/test/com/Example.java")` show 25.6% improvement because the directory check now benefits from both the frozenset lookup and explicit loop efficiency
- **Deep path traversal** (30-46% speedups): Paths like `Path("a/b/c/d/e/f/test/MyClass.java")` gain 36% because the explicit loop can exit early once 'test' is found
- **Non-test files** (11-20% speedups): Even paths that must fully traverse all parts benefit from reduced overhead

The optimization shows slight regressions (1-9% slower) in simple naming pattern cases like `Path("Test.java")` because the constant lookup adds minimal overhead for already-fast operations, but these are rare and the overall workload shows strong net improvement.

## Impact on Existing Workloads

Based on `function_references`, this function is called from test discovery code paths that process potentially hundreds or thousands of files when scanning Java projects. The function determines whether files should be included in test suites, making it a hot path during:
- Project-wide test discovery
- Build system integration
- IDE test runner initialization

The 16% runtime reduction directly translates to faster test discovery, which is valuable in CI/CD pipelines and developer workflows where test scanning happens frequently. The optimization is especially beneficial for large Java codebases with deep directory structures, as evidenced by the 30-50% improvements on nested path cases.
@codeflash-ai codeflash-ai bot added ⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: High Optimization Quality according to Codeflash labels Feb 4, 2026
@codeflash-ai codeflash-ai bot mentioned this pull request Feb 4, 2026
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