Bambanta
CS207 Project Group 9:
Authors: Qiansha (Karina) Huang, Rong Liu, Rory Maizels
Project Page: https://pypi.org/project/Bambanta/
This automatic differentiation package Bambanta performs both forward-mode and reverse-mode automatic differentiation. For details about the project, please consult the documentation.
Installation Guide
We recommend installing our package in a virtual environment. Please ensure that a version of virtualenv is already installed in your machine, and follow the steps:
virtualenv env
source env/bin/activate
pip install Bambanta
Testing Bambanta
Our module may be tested using pytest on AutoDiff.py, or using doctest on test_AutoDiff.py.
1 maintainer
Metadata
1 maintainer
Release files for Bambanta 0.1.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| Bambanta-0.1.4.tar.gz | 12.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| Bambanta-0.1.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 26.5 kB
Release files / Bambanta-0.1.4.tar.gz
| Download URL | Bambanta-0.1.4.tar.gz |
|---|---|
| Size | 12.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / Bambanta-0.1.4-py3-none-any.whl
| Download URL | Bambanta-0.1.4-py3-none-any.whl |
|---|---|
| Size | 13.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.12.1 pkginfo/1.4.2 requests/2.18.4 setuptools/40.6.2 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.5
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