Skip to main content

Tokamak core inductance matrices and flux tables

Project description

Device Inductance

Docs

Tokamak core inductance matrices and flux tables.

OSSFE2025

See docs for detailed installation instructions and usage examples.

Installation

pip install device_inductance

Contributing

Contributions consistent with the goals and anti-goals of the package are welcome.

Please make an issue ticket to discuss changes before investing significant time into a branch.

Goals

  • Library-level functions and formulas
  • Comprehensive documentation including literature references, assumptions, and units-of-measure
  • Quantitative unit-testing of formulas
  • Performance (both speed and memory-efficiency)
    • Eliminate the need for databases to store the results of the computation
  • Cross-platform compatibility
  • Minimization of long-term maintenance overhead (both for the library, and for users of the library)
    • Semantic versioning
    • Automated linting and formatting tools
    • Centralized CI and toolchain configuration in as few files as possible

Anti-Goals

  • Fanciness that increases environment complexity, obfuscates reasoning, or introduces platform restrictions
  • Brittle CI or toolchain processes that drive increased maintenance overhead
  • Application-level functionality (graphical interfaces, simulation frameworks, etc)

License

Licensed under either of

at your option.

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

device_inductance-2.2.0.tar.gz (54.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

device_inductance-2.2.0-py3-none-any.whl (44.7 kB view details)

Uploaded Python 3

File details

Details for the file device_inductance-2.2.0.tar.gz.

File metadata

  • Download URL: device_inductance-2.2.0.tar.gz
  • Upload date:
  • Size: 54.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.3

File hashes

Hashes for device_inductance-2.2.0.tar.gz
Algorithm Hash digest
SHA256 67f0e0d99edf72185519f3cf757d39368831c8e11dd33007db712657972ecc73
MD5 e488bc76b05a8efdd757eb09a30ab176
BLAKE2b-256 4a53d3b60161379e44f23ffe9e16cfd2981397f9e5301993268481c35b399a3f

See more details on using hashes here.

File details

Details for the file device_inductance-2.2.0-py3-none-any.whl.

File metadata

File hashes

Hashes for device_inductance-2.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 e34e0b52c38505696aa18df7ece4325e8a601cd4238c5465c7cf045cfa5ba749
MD5 34213c3506d6dbe04c611b1a6b3446ec
BLAKE2b-256 f608189a7c03e1f747f939a2d2f1ac42c91f84a751896576d261eb153f506c38

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page