FuncNodes Lmfit

Overview

funcnodes-lmfit is an extension of the FuncNodes framework that provides nodes to use the lmfit package

Installation

Install the package using:

pip install funcnodes-lmfit

Getting Started

To begin using funcnodes-lmfit, you will need to have the core FuncNodes framework installed and set up. Please refer to the FuncNodes documentation for details.

Contribution

You are welcome to contribute to this project by submitting pull requests, adding new nodes, fixing bugs, or enhancing the documentation.

License

This project is licensed under the MIT License.

Contact

For any questions or issues, please open an issue on the GitHub repository.

Metadata

Release files for funcnodes-lmfit 0.2.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for funcnodes-lmfit 0.2.0
File	Size	Uploaded
funcnodes_lmfit-0.2.0.tar.gz	76.5 kB	Jan 24, 2025	Details

Built distribution (wheel)

Table of built distributions (wheels) for funcnodes-lmfit 0.2.0
File	Interpreter	ABI	Platform	Reset
funcnodes_lmfit-0.2.0-py3-none-any.whl 60.7 kB Jan 24, 2025	Python 3	none	any	Details

Total release size: 137.3 kB

Release files / funcnodes_lmfit-0.2.0.tar.gz

Download URL	funcnodes_lmfit-0.2.0.tar.gz
Size	76.5 kB
Tags	Source
SHA-256 checksum How to use checksums	`3fe7308ab823a04e31da58ed3e6b345134c5dea37a654cb589b72ab9fd3f8a2b`
BLAKE2b-256 checksum How to use checksums	`f5e6e209614da96867f06dba3b2c8e556903d66d3dd7ee88e912e3bbd615edf6`
Upload date	Jan 24, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.12.8`

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.

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/Linkdlab/funcnodes_lmfit
Publishing commit: github.com/Linkdlab/funcnodes_lmfit/tree/645b7bff115e93c8e02e5b09a9a9bcad70c48c18

Workflow

Publishing configuration: github.com/Linkdlab/funcnodes_lmfit/blob/645b7bff115e93c8e02e5b09a9a9bcad70c48c18/.github/workflows/version_publish_main.yml
Publishing logs: github.com/Linkdlab/funcnodes_lmfit/actions/runs/12948931378/attempts/1

Artifact

Subject: funcnodes_lmfit-0.2.0.tar.gz
SHA-256 checksum: 3fe7308ab823a04e31da58ed3e6b345134c5dea37a654cb589b72ab9fd3f8a2b Verifying attestations

Release files / funcnodes_lmfit-0.2.0-py3-none-any.whl

Download URL	funcnodes_lmfit-0.2.0-py3-none-any.whl
Size	60.7 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`cb1320fdfb90e063c4f468774bd33c24d49f13d6390d458d2fb92e9904511cd6`
BLAKE2b-256 checksum How to use checksums	`76e978a658e88ec35831177a1c8eec18388b9b14bcb4ff934c57bd47657c3d6a`
Upload date	Jan 24, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.12.8`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/Linkdlab/funcnodes_lmfit
Publishing commit: github.com/Linkdlab/funcnodes_lmfit/tree/645b7bff115e93c8e02e5b09a9a9bcad70c48c18

Workflow

Publishing configuration: github.com/Linkdlab/funcnodes_lmfit/blob/645b7bff115e93c8e02e5b09a9a9bcad70c48c18/.github/workflows/version_publish_main.yml
Publishing logs: github.com/Linkdlab/funcnodes_lmfit/actions/runs/12948931378/attempts/1

Artifact

Subject: funcnodes_lmfit-0.2.0-py3-none-any.whl
SHA-256 checksum: cb1320fdfb90e063c4f468774bd33c24d49f13d6390d458d2fb92e9904511cd6 Verifying attestations