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.

alt text

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.

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for Grant.Jenks from gravatar.com Grant.Jenks

Credits

Author: Grant Jenks

License

Apache Software License (Apache 2.0)

Requires

Python >=3.8

Classifiers

Report project as malware

Metadata

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for Grant.Jenks from gravatar.com Grant.Jenks

Credits

Author: Grant Jenks

License

Apache Software License (Apache 2.0)

Requires

Python >=3.8

Classifiers

Report project as malware

Release files for arraydeque 1.4.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for arraydeque 1.4.0
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arraydeque-1.4.0.tar.gz 9.0 kB Details

Built distributions (wheels)

Table of built distributions (wheels) for arraydeque 1.4.0
File
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arraydeque-1.4.0-pp311-pypy311_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl 12.5 kB PyPy 3.11 PyPy 3.11 7.3 Linux glibc 2.17+ x86-32, Linux glibc 2.5+ x86-32 Details
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arraydeque-1.4.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl 33.5 kB CPython 3.8 CPython 3.8 Linux glibc 2.5+ x86-32, Linux glibc 2.17+ x86-32 Details
arraydeque-1.4.0-cp38-cp38-macosx_11_0_arm64.whl 10.3 kB CPython 3.8 CPython 3.8 macOS 11.0+ ARM64 Details

Total release size: 1.2 MB

Release files / arraydeque-1.4.0.tar.gz

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