Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

⚡️ Speed up function wrap_stream_for_windows by 112% in src/black/files.py #51

Open
wants to merge 1 commit into
base: main
Choose a base branch
from

Conversation

codeflash-ai[bot]
Copy link

@codeflash-ai codeflash-ai bot commented Dec 14, 2024

📄 wrap_stream_for_windows in src/black/files.py

✨ Performance Summary:

  • Speed Increase: 📈 112% (1.12x faster)
  • Runtime Reduction: ⏱️ From 136 microseconds down to 64.0 microseconds (best of 1 runs)

📝 Explanation and details

To optimize this Python program, the main thing you can do is to avoid re-importing in the function, which can introduce overhead. We'll import wrap_stream once at the module level, ensuring that the import is only done once when the module is loaded.

Here is the optimized version.

This version moves the import outside the function and assigns the result to a variable that the function can check. This reduces the overhead incurred within the function by avoiding repeated import attempts.


Correctness verification

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

Test Status Details
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 6 Passed See below
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Coverage 100.0%

🌀 Generated Regression Tests Details

Click to view details
import io
import platform
import sys
from typing import Union

# function to test
import colorama
# imports
import pytest  # used for our unit tests
from black.files import wrap_stream_for_windows

# unit tests

# Test if colorama is available and the stream is wrapped
def test_wrap_stream_with_colorama_available():
    import colorama
    f = io.StringIO("test")
    codeflash_output = wrap_stream_for_windows(f)

# Test if colorama is not available
def test_wrap_stream_with_colorama_unavailable(monkeypatch):
    monkeypatch.delattr("colorama.initialise.wrap_stream")
    f = io.StringIO("test")
    codeflash_output = wrap_stream_for_windows(f)

# Test with an empty stream
def test_empty_stream():
    f = io.StringIO("")
    codeflash_output = wrap_stream_for_windows(f)

# Test with a stream containing special characters
def test_stream_with_special_characters():
    f = io.StringIO("line1\nline2\tline3\rline4")
    codeflash_output = wrap_stream_for_windows(f)

# Test with a stream containing ANSI codes
def test_stream_with_ansi_codes():
    f = io.StringIO("\033[31mred\033[0m")
    codeflash_output = wrap_stream_for_windows(f)

# Test with standard output stream


def test_custom_text_stream():
    f = io.StringIO("custom stream")
    codeflash_output = wrap_stream_for_windows(f)

# Test if colorama import fails
def test_colorama_import_fails(monkeypatch):
    monkeypatch.setattr("builtins.__import__", lambda name, *args: None if name == "colorama" else __import__(name, *args))
    f = io.StringIO("test")
    codeflash_output = wrap_stream_for_windows(f)

# Test with a large text stream
def test_large_text_stream():
    large_text = "a" * 10**6  # 1 million characters
    f = io.StringIO(large_text)
    codeflash_output = wrap_stream_for_windows(f)

# Test with a stream containing a high frequency of ANSI codes
def test_high_frequency_ansi_codes():
    ansi_text = ("\033[31mred\033[0m" * 1000)
    f = io.StringIO(ansi_text)
    codeflash_output = wrap_stream_for_windows(f)

# Test that the stream's content is not modified
def test_stream_mutation():
    f = io.StringIO("test")
    original_content = f.getvalue()
    wrap_stream_for_windows(f)

# Ensure that no unexpected exceptions are raised
def test_no_unexpected_exceptions():
    f = io.StringIO("test")
    try:
        wrap_stream_for_windows(f)
    except Exception:
        pytest.fail("Unexpected exception raised")

# Test on a Windows system to ensure the stream is wrapped correctly
def test_windows_environment():
    if platform.system() == "Windows":
        f = io.StringIO("test")
        codeflash_output = wrap_stream_for_windows(f)

# Test on a non-Windows system to ensure the function behaves as expected
def test_non_windows_environment():
    if platform.system() != "Windows":
        f = io.StringIO("test")
        codeflash_output = wrap_stream_for_windows(f)
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
import io
import platform
import sys
from typing import Union

# function to test
import colorama
# imports
import pytest  # used for our unit tests
from black.files import wrap_stream_for_windows

# unit tests

def test_basic_functionality_stdout():
    # Test wrapping of standard output stream
    codeflash_output = wrap_stream_for_windows(sys.stdout)

def test_basic_functionality_stderr():
    # Test wrapping of standard error stream
    codeflash_output = wrap_stream_for_windows(sys.stderr)

def test_colorama_available():
    # Test behavior when colorama is available
    codeflash_output = wrap_stream_for_windows(sys.stdout)

def test_colorama_unavailable(monkeypatch):
    # Simulate colorama being unavailable
    monkeypatch.setattr("builtins.__import__", lambda name, globals, locals, fromlist, level: ImportError if name == "colorama" else __import__(name, globals, locals, fromlist, level))
    codeflash_output = wrap_stream_for_windows(sys.stdout)

def test_non_tty_stream():
    # Test with a non-TTY stream (e.g., a file stream)
    with open('testfile.txt', 'w') as f:
        codeflash_output = wrap_stream_for_windows(f)

def test_already_wrapped_stream():
    # Test with a stream that is already wrapped by colorama
    wrapped_stream = colorama.AnsiToWin32(sys.stdout)
    codeflash_output = wrap_stream_for_windows(wrapped_stream)

def test_none_as_input():
    # Test with None as input
    with pytest.raises(TypeError):
        wrap_stream_for_windows(None)

def test_non_textiowrapper_input():
    # Test with an object that is not an instance of io.TextIOWrapper
    with pytest.raises(AttributeError):
        wrap_stream_for_windows(object())

def test_large_stream():
    # Test with a large stream to ensure efficiency
    large_stream = io.StringIO("A" * 10**6)
    codeflash_output = wrap_stream_for_windows(large_stream)

def test_non_windows_environment(monkeypatch):
    # Test behavior on non-Windows platforms
    if platform.system() != 'Windows':
        codeflash_output = wrap_stream_for_windows(sys.stdout)

def test_stream_modification():
    # Ensure the stream's properties are not unintentionally modified
    original_encoding = sys.stdout.encoding
    codeflash_output = wrap_stream_for_windows(sys.stdout)

def test_exception_handling(monkeypatch):
    # Verify that exceptions within the function are handled gracefully
    def faulty_wrap_stream(*args, **kwargs):
        raise RuntimeError("Test Exception")
    monkeypatch.setattr("colorama.initialise.wrap_stream", faulty_wrap_stream)
    with pytest.raises(RuntimeError):
        wrap_stream_for_windows(sys.stdout)

def test_multiple_concurrent_streams():
    # Test behavior with multiple streams being wrapped concurrently
    import threading
    def wrap_stream_thread():
        wrap_stream_for_windows(sys.stdout)
    threads = [threading.Thread(target=wrap_stream_thread) for _ in range(10)]
    for thread in threads:
        thread.start()
    for thread in threads:
        thread.join()
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.

📣 **Feedback**

If you have any feedback or need assistance, feel free to join our Discord community:

Discord

To optimize this Python program, the main thing you can do is to avoid re-importing in the function, which can introduce overhead. We'll import `wrap_stream` once at the module level, ensuring that the import is only done once when the module is loaded.

Here is the optimized version.



This version moves the import outside the function and assigns the result to a variable that the function can check. This reduces the overhead incurred within the function by avoiding repeated import attempts.
@codeflash-ai codeflash-ai bot added the ⚡️ codeflash Optimization PR opened by Codeflash AI label Dec 14, 2024
@codeflash-ai codeflash-ai bot requested a review from misrasaurabh1 December 14, 2024 03:13
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
⚡️ codeflash Optimization PR opened by Codeflash AI
Projects
None yet
Development

Successfully merging this pull request may close these issues.

0 participants