Duqtools
Duqtools is a tool for Dynamic Uncertainty 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
Or to use on the gateway:
module use /gss_efgw_work/work/g2vazizi/duqtools/modules
module load duqtools/3.1.6
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.
Metadata
Release files for duqtools 3.1.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| duqtools-3.1.6.tar.gz | 205.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| duqtools-3.1.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 432.3 kB
Release files / duqtools-3.1.6.tar.gz
| Download URL | duqtools-3.1.6.tar.gz |
|---|---|
| Size | 205.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Yes |
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twine/6.1.0 CPython/3.12.9
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Transparency logRelease files / duqtools-3.1.6-py3-none-any.whl
| Download URL | duqtools-3.1.6-py3-none-any.whl |
|---|---|
| Size | 227.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
959206ad9d63cd1f8b27b8a0d097588be5180d3e7c74994cc2703c5e68e8c965
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
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