## TBNN-s v0.1.0 - Tensor Basis Neural Network for Scalar Mixing Author: Pedro M. Milani (email: pmmilani@stanford.edu)
Last modified: 09/16/2019
Developed and tested in Python 3.7
### Installation To install, run the following (optionally within a virtual environment):
pip install tbnns [–user] [–upgrade]
This will install the stable version from the Python Package Index. Use the flag –user in case you do not have administrator privileges and the flag –upgrade to get the newest version.
To test the program while it is being developed, run the command below from the current directory. This is useful when you are developing the code.
pip install -e .
To uninstall, run:
pip uninstall tbnns
The commands above will also install some dependencies (included in the file “requirements.txt”) needed for this package.
### Examples and Testing
Under construction.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file tbnns-0.1.0.tar.gz.
File metadata
- Download URL: tbnns-0.1.0.tar.gz
- Upload date:
- Size: 17.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/1.15.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d47771545e381223f1a7496cd59873474840807e4016bc1cdffc68b608af59a8
|
|
| MD5 |
a3f96c389a141a6731b8ba22c4c68e34
|
|
| BLAKE2b-256 |
c9de53966ea5a5e2be444338b6e772865fcb552206315523f7d9752bed8813f4
|
File details
Details for the file tbnns-0.1.0-py3-none-any.whl.
File metadata
- Download URL: tbnns-0.1.0-py3-none-any.whl
- Upload date:
- Size: 18.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/1.15.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2d5b763cb6418a6b3f76dfd684e3573a4104201638b16f41a10f5bd119b35b03
|
|
| MD5 |
c8a271aa686892361826df00d5376816
|
|
| BLAKE2b-256 |
503abc33c81258e5042e5ac8a4208c7a51f8f3e5d3584b3066d45bdfee24c1fd
|