No project description provided
Project description
The snoo.py package
The snoo.py package is a leightweight but efficient finite element method based on gmsh and scipy. It has been developed to provide field maps for the optimization of a muon shield at CERN.
Installation
The easiest way to use snoo.py is to install it in pip. Simply run
pip install snoopy-SHiP
The second option is by using poetry. Just clone this repository and run
poetry build poetry install
Thats it!
Requirements
It is important that You have python dev installed. In Ubuntu You get it like this:
sudo apt-get install python3-dev
In CentOS You get it like this:
sudo yum install python3-devel
This package is based on python3.11.
Getting started.
There is an examples folder in the root directory. Also, You can generate autodocs by running:
poetry run make html
in the docs directory. This will also generate the examples gallery.
Project details
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 snoopy_ship-0.1.2.tar.gz.
File metadata
- Download URL: snoopy_ship-0.1.2.tar.gz
- Upload date:
- Size: 1.2 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/2.0.1 CPython/3.10.0 Windows/10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6dadf4eac3fc9dfda74196e374eec3425a06f87b680da4ae8751c671e903927a
|
|
| MD5 |
7ae50c516b41b94d9a9800fa5a8879f9
|
|
| BLAKE2b-256 |
439a16b4170db9924040ebed621df659e97612775247ecf59a6be0fa70447020
|
File details
Details for the file snoopy_ship-0.1.2-cp310-cp310-win_amd64.whl.
File metadata
- Download URL: snoopy_ship-0.1.2-cp310-cp310-win_amd64.whl
- Upload date:
- Size: 1.2 MB
- Tags: CPython 3.10, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/2.0.1 CPython/3.10.0 Windows/10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
96c7101f5b6971b32ab4d7446cf5a533ab91e8131a933ebea589d53374f06fa6
|
|
| MD5 |
0ae9c503f8a66728eec5a07845c6d101
|
|
| BLAKE2b-256 |
070eefd777aa4fa7f999c54fe18c2159bef8ccc639d98a0342fcf4c3b009e17f
|