Skip to main content

Core model library of the GEMINI Digital Twin

Project description

Test workflow status Lint workflow status

gemini-model

This repository is part of the 'Nieuwe Warmte Nu GEMINI Digital Twin' project.

Model library of the GEMINI Digital Twin

Bug reports and discussions

If you think you found a bug, feel free to open an issue. Focused suggestions and requests can also be opened as issues. Before opening a pull request, please start an issue or a discussion on the topic.

Contribution

If you want to contribute to the package, please read our CONTRIBUTING.md file.

License

This content is released under the GNU General Public License v3.0 License.

Acknowledgments

This project is sponsored by NWM innovatie: Datagedreven optimalisatie aardwarmtesystemen (https://nwn.nu/projecten/innovaties/datagedreven-optimalisatie-aardwarmte-systemen)

Organization: TNO, Aardyn, HVC, Well Engineering Partners (WEP), Helin Data

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

gemini_model-0.1.7.tar.gz (92.7 kB view details)

Uploaded Source

Built Distribution

gemini_model-0.1.7-py3-none-any.whl (96.9 kB view details)

Uploaded Python 3

File details

Details for the file gemini_model-0.1.7.tar.gz.

File metadata

  • Download URL: gemini_model-0.1.7.tar.gz
  • Upload date:
  • Size: 92.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.11.4 Windows/10

File hashes

Hashes for gemini_model-0.1.7.tar.gz
Algorithm Hash digest
SHA256 3d7fcdcf975f8fdf4e8ccfe7f4da5afb91e09e734c5aa2ee3bcd9188c9401460
MD5 5be73809fd6d982d638848617e0fd16b
BLAKE2b-256 ed0dbf619dce3cdc6bbc07323a5f6cd8fee72472f6e704998800d991cf881295

See more details on using hashes here.

File details

Details for the file gemini_model-0.1.7-py3-none-any.whl.

File metadata

  • Download URL: gemini_model-0.1.7-py3-none-any.whl
  • Upload date:
  • Size: 96.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.11.4 Windows/10

File hashes

Hashes for gemini_model-0.1.7-py3-none-any.whl
Algorithm Hash digest
SHA256 a1ca4c9b42ee0d2d45e0cd83fd9f6c1357c29f7feed13a02ae1ae9f131c8e09a
MD5 9fe43acb73fe97bc2d5584bbf1ee03ab
BLAKE2b-256 0072fd37232059f56ddaa5a1001058c831b14d3effcf15cea039d81b6e2406b1

See more details on using hashes here.

Supported by

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