Siena-MLS : Multimedia Library for Students
The project is a development platform designed for Media Computation. It offers a pure Python implementation of gatech-csl/jes, aiming to ensure consistent API functionality across both implementations. Notable enhancements beyond the foundational versions are detailed in subsequent sections. This package is compatible with any Python3.10^ version, allowing students to utilize the Python programming language to manipulate multimedia components, including images, sounds, and videos over online repl providers. The current API documentation aligns with the JES usage described in the reference book, and the functions implemented to date are provided here.
This library was developed for the Introduction to Computer Science (CSIS 110) course at Siena College, as well as the college's affiliated high school computer science programs.
Usage
To install the package in your projects, use pip / poetry / upm etc. The best way is to add the following to your pyproject.toml file:
[tool.poetry.dependencies]
python = ">=3.10.0,<3.11"
siena_mls = ">18" # This is the MLS Version ( check with the latest one )
If you just want to use this on a script, this will install it in your python environment.
pip install siena_mls
Finaly in the first line of your main file:
from siena_mls import *
Contributin and Deploying
The project is configured to auto deploy to PyPi on project release. Here is a possible sequence of actions that may help.
Contributions
- Use github codespaces / local VSCode to make changes.
- Contribute any changes, test things out in
playground.py. - Add files and Commit then push.
- Version Update: : Increment Version in
pyproject.toml. - Pre-Release Deployment: Create a pre-release in GitHub to push to
test.pypi.org. Just confirm that the Actions ran and the version is avaliable over test.pypi - Release Deployment: Create a release in GitHub to push to
pypi.org.
Refer to comamnds in Annex if you need to manually build / test / publish.
Support & Grants
Contributions
-Robin Flatland & Ninad Chaudhari (Siena College)
Annexture
Alternate: not using pyTest
The same can be acheved without using pytestpoetry run coverage run -m unittest discover
poetry run coverage html
Installing dependencies
pip install . can parse pyproject.toml and install all deps in current python environment.
Project Commands & Scripts
This project utilizes Poetry for efficient package & dependencies management. Below is a quick guide to the most commonly used commands:
- Install Dependencies:
poetry install - Build Project:
poetry build - Test:
poetry run pytest
1 maintainer
Metadata
1 maintainer
Release files for siena_mls 23
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| siena_mls-23.tar.gz | 12.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| siena_mls-23-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 24.0 kB
Release files / siena_mls-23.tar.gz
| Download URL | siena_mls-23.tar.gz |
|---|---|
| Size | 12.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/2.1.4 CPython/3.13.7 Linux/6.11.0-1018-azure
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Release files / siena_mls-23-py3-none-any.whl
| Download URL | siena_mls-23-py3-none-any.whl |
|---|---|
| Size | 11.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/2.1.4 CPython/3.13.7 Linux/6.11.0-1018-azure
|
