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@codeflash-ai codeflash-ai bot commented Mar 31, 2025

📄 171% (1.71x) speedup for parse_log_django in evaluation/benchmarks/testgeneval/log_parsers.py

⏱️ Runtime : 3.49 milliseconds 1.29 millisecond (best of 984 runs)

📝 Explanation and details

Key Optimizations.

  1. Pre-compilation of Regular Expressions: Repeated compilation of the same regex in every iteration can be avoided by pre-compiling them outside the main loop. This will save time.
  2. Efficient Suffix Checking: Using endswith with a tuple of suffixes allows for faster checking and has been maintained, switching to a logical OR for clarity.
  3. Reduce Redundant Operations: continue statements remove the need for additional checks when a match is found and processed.
  4. Use of match Object Directly: In the multiline log pattern handling, directly using match object methods instead of unnecessary additional operations.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 26 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 2 Passed
📊 Tests Coverage 85.4%
🌀 Generated Regression Tests Details
import re

# imports
import pytest  # used for our unit tests
from evaluation.benchmarks.testgeneval.constants import TestStatus
from evaluation.benchmarks.testgeneval.log_parsers import parse_log_django

# unit tests

@pytest.fixture
def test_status():
    class TestStatus:
        PASSED = "passed"
        FAILED = "failed"
        SKIPPED = "skipped"
        ERROR = "error"
    return TestStatus


def test_single_test_passed(test_status):
    log = "test_case_1 ... ok"
    expected = {"test_case_1": test_status.PASSED}
    codeflash_output = parse_log_django(log)


def test_single_test_skipped(test_status):
    log = "test_case_2 ... skipped"
    expected = {"test_case_2": test_status.SKIPPED}
    codeflash_output = parse_log_django(log)


def test_single_test_failed(test_status):
    log = "test_case_3 ... FAIL"
    expected = {"test_case_3": test_status.FAILED}
    codeflash_output = parse_log_django(log)


def test_single_test_error(test_status):
    log = "test_case_4 ... ERROR"
    expected = {"test_case_4": test_status.ERROR}
    codeflash_output = parse_log_django(log)


def test_multiple_tests_mixed_results(test_status):
    log = "\n".join([
        "test_case_1 ... ok",
        "test_case_2 ... FAIL",
        "test_case_3 ... skipped",
        "test_case_4 ... ERROR"
    ])
    expected = {
        "test_case_1": test_status.PASSED,
        "test_case_2": test_status.FAILED,
        "test_case_3": test_status.SKIPPED,
        "test_case_4": test_status.ERROR
    }
    codeflash_output = parse_log_django(log)


def test_empty_log():
    log = ""
    expected = {}
    codeflash_output = parse_log_django(log)


def test_whitespace_only_log():
    log = "   \n  \t\n"
    expected = {}
    codeflash_output = parse_log_django(log)


def test_special_case_handling(test_status):
    log = "--version is equivalent to version"
    expected = {"--version is equivalent to version": test_status.PASSED}
    codeflash_output = parse_log_django(log)


def test_interruption_by_multiline_print_statement(test_status):
    log = "test_case_5 ... Testing against Django installed in /path/to/django silenced.\nok"
    expected = {"test_case_5": test_status.PASSED}
    codeflash_output = parse_log_django(log)


def test_large_log_file(test_status):
    log = "\n".join([f"test_case_{i} ... ok" for i in range(1000)])
    expected = {f"test_case_{i}": test_status.PASSED for i in range(1000)}
    codeflash_output = parse_log_django(log)


def test_unexpected_log_format():
    log = "unexpected format line"
    expected = {}
    codeflash_output = parse_log_django(log)


def test_mixed_case_variations(test_status):
    log = "test_case_6 ... Ok\ntest_case_7 ... fail"
    expected = {
        "test_case_6": test_status.PASSED,
        "test_case_7": test_status.FAILED
    }
    codeflash_output = parse_log_django(log)


def test_special_characters_in_test_names(test_status):
    log = "test_case_8 with special chars!@# ... ok"
    expected = {"test_case_8 with special chars!@#": test_status.PASSED}
    codeflash_output = parse_log_django(log)


def test_deterministic_parsing(test_status):
    log = "test_case_9 ... ok"
    expected = {"test_case_9": test_status.PASSED}
    codeflash_output = parse_log_django(log)
    codeflash_output = parse_log_django(log)  # Ensure consistent results
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.

import re
from enum import Enum

# imports
import pytest  # used for our unit tests
from evaluation.benchmarks.testgeneval.log_parsers import parse_log_django


# Mocking TestStatus for testing purposes
class TestStatus(Enum):
    PASSED = "passed"
    FAILED = "failed"
    SKIPPED = "skipped"
    ERROR = "error"
from evaluation.benchmarks.testgeneval.log_parsers import parse_log_django


# unit tests
def test_basic_pass_case():
    log = "test_example ... ok"
    expected = {"test_example": TestStatus.PASSED.value}
    codeflash_output = parse_log_django(log)

def test_basic_fail_case():
    log = "test_example ... FAIL"
    expected = {"test_example": TestStatus.FAILED.value}
    codeflash_output = parse_log_django(log)

def test_basic_skipped_case():
    log = "test_example ... skipped"
    expected = {"test_example": TestStatus.SKIPPED.value}
    codeflash_output = parse_log_django(log)

def test_basic_error_case():
    log = "test_example ... ERROR"
    expected = {"test_example": TestStatus.ERROR.value}
    codeflash_output = parse_log_django(log)

def test_whitespace_handling():
    log = "  test_example ... ok  "
    expected = {"test_example": TestStatus.PASSED.value}
    codeflash_output = parse_log_django(log)

def test_multiline_output():
    log = "test_example ... Testing against Django installed in {*} silenced.\nok"
    expected = {"test_example": TestStatus.PASSED.value}
    codeflash_output = parse_log_django(log)

def test_special_case_handling():
    log = "--version is equivalent to version"
    expected = {"--version is equivalent to version": TestStatus.PASSED.value}
    codeflash_output = parse_log_django(log)

def test_malformed_line():
    log = "test_example"
    expected = {}
    codeflash_output = parse_log_django(log)

def test_missing_test_name():
    log = " ... ok"
    expected = {}
    codeflash_output = parse_log_django(log)

def test_large_scale():
    log = "\n".join([f"test_{i} ... ok" for i in range(1000)])
    expected = {f"test_{i}": TestStatus.PASSED.value for i in range(1000)}
    codeflash_output = parse_log_django(log)

def test_complex_pattern_match():
    log = "test_example ... System check identified no issues (0 silenced).\nok"
    expected = {"test_example": TestStatus.PASSED.value}
    codeflash_output = parse_log_django(log)
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.

from evaluation.benchmarks.testgeneval.log_parsers import parse_log_django
import pytest

def test_parse_log_django():
    parse_log_django('\nok')

def test_parse_log_django_2():
    with pytest.raises(IndexError, match='list\\ index\\ out\\ of\\ range'):
        parse_log_django('FAIL:')

To edit these changes git checkout codeflash/optimize-parse_log_django-m8wz0gx3 and push.

Codeflash

### Key Optimizations.
1. **Pre-compilation of Regular Expressions:** Repeated compilation of the same regex in every iteration can be avoided by pre-compiling them outside the main loop. This will save time.
2. **Efficient Suffix Checking:** Using `endswith` with a tuple of suffixes allows for faster checking and has been maintained, switching to a logical OR for clarity.
3. **Reduce Redundant Operations:** `continue` statements remove the need for additional checks when a match is found and processed.
4. **Use of `match` Object Directly:** In the multiline log pattern handling, directly using `match` object methods instead of unnecessary additional operations.
@codeflash-ai codeflash-ai bot added the ⚡️ codeflash Optimization PR opened by Codeflash AI label Mar 31, 2025
@codeflash-ai codeflash-ai bot requested a review from dasarchan March 31, 2025 11:13
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