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

📄 24% (0.24x) speedup for parse_log_sympy in evaluation/benchmarks/testgeneval/log_parsers.py

⏱️ Runtime : 1.74 millisecond 1.40 millisecond (best of 556 runs)

📝 Explanation and details

Key Optimizations.

  1. Using re.finditer(): This avoids creating a large list of all matches at once, as it returns an iterator which is more memory efficient, especially beneficial for large logs.
  2. Cache Frequent Attribute Access: Access TestStatus attributes once and cache them, which avoids repeated attribute lookup and saves time.
  3. Direct String Slicing: By using line[:line.rfind(' ')], redundant str.split() operations are avoided when capturing the test case name, making line parsing slightly faster.
  4. Using splitlines(): This directly iterates over lines without creating an intermediate list unlike split('\n').

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 22 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 1 Passed
📊 Tests Coverage 100.0%
🌀 Generated Regression Tests Details
import re
from unittest.mock import MagicMock

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

# Mock TestStatus for testing
TestStatus = MagicMock()
TestStatus.FAILED.value = "FAILED"
TestStatus.ERROR.value = "ERROR"
TestStatus.PASSED.value = "PASSED"

# unit tests
def test_single_test_case_pass():
    log = "test_example.py:10 ok"
    expected = {"test_example.py:10": "PASSED"}
    codeflash_output = parse_log_sympy(log)

def test_single_test_case_fail():
    log = "test_example.py:10 F"
    expected = {"test_example.py:10": "FAILED"}
    codeflash_output = parse_log_sympy(log)

def test_single_test_case_error():
    log = "test_example.py:10 E"
    expected = {"test_example.py:10": "ERROR"}
    codeflash_output = parse_log_sympy(log)

def test_multiple_test_cases():
    log = """
    test_first.py:10 ok
    test_second.py:20 F
    test_third.py:30 E
    """
    expected = {
        "test_first.py:10": "PASSED",
        "test_second.py:20": "FAILED",
        "test_third.py:30": "ERROR"
    }
    codeflash_output = parse_log_sympy(log)

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

def test_whitespace_log():
    log = "   \n  "
    expected = {}
    codeflash_output = parse_log_sympy(log)

def test_no_test_cases():
    log = "Some random log content\nAnother line\n"
    expected = {}
    codeflash_output = parse_log_sympy(log)

def test_malformed_log_entries():
    log = "test_example.py:10 [FAIL]\nmalformed entry\n"
    expected = {"test_example.py:10": "FAILED"}
    codeflash_output = parse_log_sympy(log)

def test_large_log():
    log = "\n".join(f"test_case_{i}.py:10 ok" for i in range(1000))
    expected = {f"test_case_{i}.py:10": "PASSED" for i in range(1000)}
    codeflash_output = parse_log_sympy(log)

def test_duplicate_test_cases():
    log = """
    test_example.py:10 F
    test_example.py:10 ok
    """
    expected = {"test_example.py:10": "PASSED"}
    codeflash_output = parse_log_sympy(log)

def test_special_characters_in_test_names():
    log = "test_example_special@!.py:10 ok"
    expected = {"test_example_special@!.py:10": "PASSED"}
    codeflash_output = parse_log_sympy(log)

def test_different_line_endings():
    log = "test_example.py:10 ok\r\ntest_another.py:20 F\r\n"
    expected = {
        "test_example.py:10": "PASSED",
        "test_another.py:20": "FAILED"
    }
    codeflash_output = parse_log_sympy(log)



import re  # used for regex operations
from enum import Enum  # used to simulate TestStatus enum

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


# Mocking the TestStatus Enum for testing purposes
class TestStatus(Enum):
    PASSED = 'passed'
    FAILED = 'failed'
    ERROR = 'error'
from evaluation.benchmarks.testgeneval.log_parsers import parse_log_sympy

# unit tests

def test_single_test_case_pass():
    """Test a single passing test case"""
    log = "test_example.py:23 ok"
    expected = {"test_example.py:23": TestStatus.PASSED.value}
    codeflash_output = parse_log_sympy(log)

def test_single_test_case_fail():
    """Test a single failing test case"""
    log = "test_example.py:23 F"
    expected = {"test_example.py:23": TestStatus.FAILED.value}
    codeflash_output = parse_log_sympy(log)

def test_single_test_case_error():
    """Test a single erroring test case"""
    log = "test_example.py:23 E"
    expected = {"test_example.py:23": TestStatus.ERROR.value}
    codeflash_output = parse_log_sympy(log)

def test_multiple_test_cases():
    """Test multiple test cases with mixed results"""
    log = """
    test_example1.py:23 ok
    test_example2.py:45 F
    test_example3.py:67 E
    """
    expected = {
        "test_example1.py:23": TestStatus.PASSED.value,
        "test_example2.py:45": TestStatus.FAILED.value,
        "test_example3.py:67": TestStatus.ERROR.value,
    }
    codeflash_output = parse_log_sympy(log)

def test_empty_log():
    """Test an empty log string"""
    log = ""
    expected = {}
    codeflash_output = parse_log_sympy(log)

def test_malformed_log_entries():
    """Test log with malformed entries"""
    log = "random text not matching pattern"
    expected = {}
    codeflash_output = parse_log_sympy(log)

def test_special_characters_in_test_names():
    """Test log with special characters in test names"""
    log = "test_example_special_@#$.py:23 ok"
    expected = {"test_example_special_@#$.py:23": TestStatus.PASSED.value}
    codeflash_output = parse_log_sympy(log)

def test_duplicate_test_cases():
    """Test log with duplicate test cases"""
    log = """
    test_example.py:23 ok
    test_example.py:23 F
    """
    expected = {"test_example.py:23": TestStatus.FAILED.value}
    codeflash_output = parse_log_sympy(log)

def test_large_scale_log():
    """Test a log with a large number of test cases"""
    log = "\n".join([f"test_{i}.py:23 ok" for i in range(1000)])
    expected = {f"test_{i}.py:23": TestStatus.PASSED.value for i in range(1000)}
    codeflash_output = parse_log_sympy(log)

def test_log_with_noise():
    """Test log with unrelated system messages"""
    log = """
    Starting tests...
    test_example.py:23 ok
    System message: All systems operational
    test_example2.py:45 F
    """
    expected = {
        "test_example.py:23": TestStatus.PASSED.value,
        "test_example2.py:45": TestStatus.FAILED.value,
    }
    codeflash_output = parse_log_sympy(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_sympy

def test_parse_log_sympy():
    parse_log_sympy('')

To edit these changes git checkout codeflash/optimize-parse_log_sympy-m8wzbkpy and push.

Codeflash

### Key Optimizations.
1. **Using `re.finditer()`**: This avoids creating a large list of all matches at once, as it returns an iterator which is more memory efficient, especially beneficial for large logs.
2. **Cache Frequent Attribute Access**: Access `TestStatus` attributes once and cache them, which avoids repeated attribute lookup and saves time.
3. **Direct String Slicing**: By using `line[:line.rfind(' ')]`, redundant `str.split()` operations are avoided when capturing the test case name, making line parsing slightly faster.
4. **Using `splitlines()`**: This directly iterates over lines without creating an intermediate list unlike `split('\n')`.
@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 11:22
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