arraydeque 1.3.0

Array-backed deque implementation written in C for fast double-ended operations.

ArrayDeque

ArrayDeque is a fast, array-backed deque implementation for Python written in C. It provides high-performance double-ended queue operations similar to Python’s built-in collections.deque, with a straightforward and efficient design.

Features

• Fast Operations: Quick appends and pops at both ends.
• Random Access: Efficient in-place item assignment and index-based access.
• Full API Support: Implements iteration, slicing (via __getitem__ and __setitem__), and common deque methods.
• C Extension: A complete CPython C-extension for optimal speed.
• Benchmark Included: Compare performance with Python’s built-in collections.deque.

Installation

There are two ways to install ArrayDeque.

Via PyPI

Pre-built wheels are available on PyPI. Simply run:

pip install arraydeque

Building from Source

Clone the repository and install in editable mode to compile the C-extension:

git clone https://github.com/yourusername/arraydeque.git
cd arraydeque
pip install -e .

Usage

Once installed, use ArrayDeque just like the standard deque:

from arraydeque import ArrayDeque

# Create an ArrayDeque instance
dq = ArrayDeque()

# Append items on the right
dq.append(10)
dq.append(20)

# Append items on the left
dq.appendleft(5)

# Access by index
print(dq[0])  # Output: 5

# Pop items
print(dq.pop())     # Output: 20
print(dq.popleft()) # Output: 5

ArrayDeque supports the standard deque API including methods like extend, extendleft (which reverses the input order), clear, and iteration.

Benchmarking

A benchmark script (benchmark.py) is provided to compare the performance of ArrayDeque with collections.deque.

The benchmark tests various operations such as append, appendleft, pop, popleft, random access, and a mixed workload. Each operation is run 5 times, with the median time reported.

After running the benchmark with:

python benchmark.py

a plot (plot.png) is generated that visually compares the two implementations using a fivethirtyeight-style bar chart.

Testing

Tests are implemented using Python’s built-in unittest framework. Run the test suite with:

python test_arraydeque.py

Alternatively, if you’re using tox, simply run:

tox

Continuous Integration

This project uses GitHub Actions for continuous integration. It includes three workflows:

• Release Workflow (.github/workflows/release.yml): Builds wheels for Ubuntu, macOS, and Windows, then publishes to PyPI.
• Test Workflow (.github/workflows/test.yml): Runs the test suite across multiple Python versions.
• tox Configuration (tox.ini): Defines test, lint, and formatting environments (using ruff).

Development

To set up a development environment:

1. Clone the repository:

   git clone https://github.com/yourusername/arraydeque.git
   cd arraydeque
   

2. Create a virtual environment:

   On Unix/macOS:

   python -m venv env
   source env/bin/activate
   

   On Windows:

   python -m venv env
   env\Scripts\activate
   

3. Install development dependencies:

   pip install tox
   

4. Format and lint the code:

   tox -e format
   tox -e lint
   

License

This project is distributed under the Apache License 2.0.