waao

library1.1.0pypypiunverified

WAAO is a Python package that provides a hybrid CPython solution designed to enhance computational efficiency by exposing optimized C functions directly to Python. It is currently at version 1.1.0, with releases occurring infrequently based on feature additions or bug fixes.

data

pip install waao

github ↗package ↗

INSTALL

IMPORT

SIG · WAAO

waao

datapythonv1.1.0

Install

1.6s avg

Import

—

Disk

16MB

Pass rate

10/ 10

Env Coverage10 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v1.1.0 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

py 3.10–3.910 runs

installs and imports cleanly · install 0.0s · import 0.000s · 17.8MB

glibc

py 3.10–3.910 runs

installs and imports cleanly · install 1.6s · import 0.000s · 18MB

16MB installed

● package 16MB

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

waao

✓ import waao

✗ import waao

This quickstart demonstrates how to import the WAAO class and use its exposed C functions for basic arithmetic and a more complex operation, finally calling the main `run_waao` method.

from waao import WAAO # Example 1: Add two numbers using the C function result_add = WAAO.add_numbers(5, 3) print(f"Result of add_numbers: {result_add}") # Example 2: Multiply two numbers using the C function result_multiply = WAAO.multiply_numbers(5, 3) print(f"Result of multiply_numbers: {result_multiply}") # Example 3: Demonstrate a more complex C operation complex_result = WAAO.perform_complex_operation(10, 20, 3) print(f"Result of perform_complex_operation: {complex_result}") # Example 4: Run the main WAOO logic (if applicable) WAAO.run_waao()

Debug

Known issues

gotchaAs a CPython extension, `waao` might require a compiler toolchain (e.g., GCC or MSVC) if pre-compiled wheels are not available for your specific Python version, operating system, or architecture. This is generally handled by pip, but can be a source of installation issues.

fix

Ensure your system has the necessary build tools installed. For Windows, install 'Build Tools for Visual Studio'. For Linux, install 'build-essential' (Debian/Ubuntu) or 'Development Tools' (Fedora/RHEL).

affects: All

gotchaThe library's C functions generally expect integer inputs. Passing non-integer types (e.g., floats, strings) to methods like `add_numbers` or `multiply_numbers` can lead to `TypeError` or unexpected behavior if not explicitly handled by the internal CPython bindings.

fix

Always ensure that arguments passed to WAAO's C-backed methods are of the expected integer type to prevent type-related errors.

affects: All

gotchaThe `waao` package is designed for specific computational speedups using C. Attempting to use it for tasks outside its exposed C functionality (e.g., generic Python operations) will not yield performance benefits and might complicate your codebase.

fix

Utilize `waao` only for the specific numerical operations it provides. For general programming, stick to standard Python libraries.

affects: All

Upgrade

Version history

1.1.0latest on PyPI · released Aug 16, 2025

Audit

Dependencies

No dependency data recorded yet.

Agent activity

30 hits · last 30 days

node

OpenAI (training)

Resources

githubhttps://github.com/manu-waao/waao ↗

packagehttps://pypi.org/project/waao/ ↗