Yanked

This release has been yanked by its maintainers, and will be ignored by installers, except when explicitly specified.
Consider using release 0.1.0 instead.

autodiff-team44 0.0.1

This package is an automatic differentiation package which will evaluate derivatives with machine-precision almost instantaneously. The speed and precision of autodifferentiation is paramount to applications such as deep learning models, and mitigates inefficiencies that compound with larger and more complex functions.

pip install autodiff-team44==0.0.1

Team 44

ID: team44

Team members: Leo Shao, Ibraheem Khan, Reem Ali, Yigit Sonmez, Chepchumba Choge

test.yml coverage.yml

License
- OSI Approved :: MIT License
Operating System
- OS Independent
Programming Language
- Python :: 3

Metadata

License
- OSI Approved :: MIT License
Operating System
- OS Independent
Programming Language
- Python :: 3

Release files for autodiff-team44 0.0.1

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

Source distribution (sdist)

Source distribution for autodiff-team44 0.0.1
File	Size	Uploaded
autodiff_team44-0.0.1.tar.gz	8.1 kB	Dec 11, 2022	Details

Built distribution (wheel)

Table of built distributions (wheels) for autodiff-team44 0.0.1
File	Interpreter	ABI	Platform	Reset
autodiff_team44-0.0.1-py3-none-any.whl 8.9 kB Dec 11, 2022	Python 3	none	any	Details

Total release size: 17.0 kB

Release files / autodiff_team44-0.0.1.tar.gz

Download URL	autodiff_team44-0.0.1.tar.gz
Size	8.1 kB
Tags	Source
SHA-256 checksum How to use checksums	`360cd4f4eeebac1f5b40b7daa3c06af714a865ddb013079e514ef00e6430ed1e`
BLAKE2b-256 checksum How to use checksums	`9697bb6c1050c458d1c4139a0d1e33e07bf860af652cd03dda06f7f34ad7abb0`
Upload date	Dec 11, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.8.12`

Release files / autodiff_team44-0.0.1-py3-none-any.whl

Download URL	autodiff_team44-0.0.1-py3-none-any.whl
Size	8.9 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`7b6f73d6cbd98e27b40c26ce0097b696e66c955ebe650f19e87e39ffd8a82af0`
BLAKE2b-256 checksum How to use checksums	`7d722975d3d365c7221a81511f1df689b4676ed2648e1eb202dfb33dc346ed81`
Upload date	Dec 11, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.8.12`