The Problem

Developers often need a minimal, reproducible example of how to turn a Python module into a distributable package. Without a reference project they must piece together setup.py, egg‑info, and a test harness from scratch, which adds friction to learning packaging best‑practices.

What This Does

mypackage is a deliberately tiny showcase that can be built and installed with the standard Python packaging workflow. The core logic lives in mypackage/myModule.py and provides a single public function top_n. Tests in tests/test.py import that function and invoke it three times (test_top_n). The package metadata and build script are in setup.py, while mypackage/__init__.py re‑exports the module (currently empty). The repository also contains the generated source distribution dist/mypackage-0.1.tar.gz and the auto‑generated egg‑info files.

How It Is Wired

Execution starts with the entry point setup.py when the package is built or installed (python setup.py install or pip install .). setup.py reads the long description from README.md and writes the package metadata; it also opens files directly with open(...) (see Code Health & Issues). Once installed, user code imports the package:

from mypackage.myModule import top_n

top_n is the only callable defined in the repository. The internal call graph shows a single edge: the test function test_top_n (in tests/test.py) calls top_n three times. No other modules import each other, so the import graph is flat: each of the four Python files (mypackage/__init__.py, mypackage/myModule.py, setup.py, tests/test.py) has zero inbound (Ca) and outbound (Ce) edges, giving an instability score of 0.

How To Use It

# Clone the repository
git clone https://github.com/moses-y/mypackage
cd mypackage

# Install the package into the current environment
pip install .

No additional configuration files, environment variables, or Docker containers are present. After installation, call the function directly from Python:

from mypackage.myModule import top_n
result = top_n(data, n=5)
print(result)

Running the test suite (the only test file) is straightforward:

python -m unittest tests/test.py

Real‑World Use

A typical scenario is a data‑processing script that needs the highest‑scoring items from a list. Importing top_n avoids re‑implementing the selection logic:

from mypackage.myModule import top_n

scores = [("alice", 92), ("bob", 85), ("carol", 97)]
top = top_n(scores, n=2)   # returns [('carol', 97), ('alice', 92)]

The package can be added as a development dependency in larger projects to illustrate proper packaging structure.

Code Health & Issues

  • Medium – resource_safety – setup.py opens files without a context manager (open(...)), risking file‑handle leaks on errors. Replace with with open(...) as f:.
  • Medium – SDLC – No CI/CD pipeline detected (.github/, .gitlab/, etc. absent). Automated testing and packaging are not enforced.
  • Medium – licensing – No LICENSE file; downstream users lack clear rights for redistribution or modification.

No secrets were found in the commit history, and the repository contains a single test file.

The Bottom Line

mypackage delivers a clean, minimal example of Python packaging with a single functional module and a test harness. Its simplicity makes it easy to extend, but the lack of CI, a proper license, and a small resource‑handling bug in setup.py limit its readiness for production use. It is best suited for educational purposes or as a starting scaffold for new Python libraries.