Dynamic uncertainty quantification for Tokamak reactor simulations modelling
Project description
| Source | Badges |
|---|---|
| ReadTheDocs |  |
| Github |   |
| PyPI |   |
| SonarCloud |   |
| Zenodo |  |
Duqtools
Duqtools is a tool for Dynamic Undertainty Quantification for Tokamak reactor simulations modelling.
Features:
- Set up 100s of simulation runs from a single template
- Launch standard sets of sensitivity tests with minimal programming
- Batch job submission and status tracking
- Supports the Standardized Interface Data Structures (IDSs) data directory
- Compare and visualize 100s of simulations in one overview
- Display simulation results as confidence ranges and distributions
Duqtools is currently under active development. It runs on linux only and requires the ITER Integrated Modeling and Analysis Suite (IMAS).
To install:
pip install duqtools
The source code is available from Github.
Suggestions, improvements, and edits are most welcome.
Development
Check out our Contributing Guidelines to get started with development.
Release history Release notifications | RSS feed
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 duqtools-1.6.3.tar.gz.
File metadata
- Download URL: duqtools-1.6.3.tar.gz
- Upload date:
- Size: 67.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.11.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
56a721ee3aa8396894bb28df61d7413710737ee981a14f5cfbc1a37c788f7b4f
|
|
| MD5 |
62ae4d6ff648eb7525c034e0a1881842
|
|
| BLAKE2b-256 |
9b172164421a391d64b8085cd40f88437de7128bfe474bf28f2943d2e89bba85
|
File details
Details for the file duqtools-1.6.3-py3-none-any.whl.
File metadata
- Download URL: duqtools-1.6.3-py3-none-any.whl
- Upload date:
- Size: 86.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.11.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a19c8d842247a03dc199b3dc67e639dc4c485b66e9d4be5c2d3e6eb1553caabb
|
|
| MD5 |
c072a4f11936b705e6d764a57b48ca3b
|
|
| BLAKE2b-256 |
12479074d25b18aa23b7355c59332093cdbc253d7ac5a165b66319cc9a41ec84
|
