# access-experiment-generator
[](https://github.com/ACCESS-NRI/access-experiment-generator/actions/workflows/ci.yml)
[](https://github.com/ACCESS-NRI/access-experiment-generator/actions/workflows/cd.yml)
[](https://codecov.io/gh/ACCESS-NRI/access-experiment-generator)
[](https://opensource.org/license/apache-2-0)
[](https://github.com/psf/black)
# About
The main role of the ACCESS experiment generator is to streamline the creation of one or more experiment configurations from a "control" experiment setup. It reduces manual editing and ensures consistent, repeatable workflows for large ensembles.
# Key features
1. Parameter perturbation / Configuration changes
- Users provide a set or suite of parameter changes in a YAML input file.
- The generator applies these changes to relevant configurations.
- It can generate multiple experiments automatically, making it especially useful for large perturbation ensembles.
2. Branch-based storage approach
- The generator checks out a control branch in a git repository.
- For each perturbation, it creates a new branch containing modified parameters.
- Changes are then committed on that branch and can be pushed back to the github repository.
Raw data
{
"_id": null,
"home_page": null,
"name": "experiment-generator",
"maintainer": null,
"docs_url": null,
"requires_python": null,
"maintainer_email": null,
"keywords": "experiment generator, workflow, access, payu",
"author": null,
"author_email": "Minghang Li <Minghang.Li1@anu.edu.au>",
"download_url": "https://files.pythonhosted.org/packages/d5/f7/6615cf785f23ef7bbabd5d35f593935a1099c1279df9a5774bafbe090a82/experiment_generator-0.0.2.tar.gz",
"platform": null,
"description": "# access-experiment-generator\n\n[](https://github.com/ACCESS-NRI/access-experiment-generator/actions/workflows/ci.yml)\n[](https://github.com/ACCESS-NRI/access-experiment-generator/actions/workflows/cd.yml)\n[](https://codecov.io/gh/ACCESS-NRI/access-experiment-generator)\n[](https://opensource.org/license/apache-2-0) \n[](https://github.com/psf/black)\n\n\n# About\nThe main role of the ACCESS experiment generator is to streamline the creation of one or more experiment configurations from a \"control\" experiment setup. It reduces manual editing and ensures consistent, repeatable workflows for large ensembles. \n\n# Key features\n1. Parameter perturbation / Configuration changes\n - Users provide a set or suite of parameter changes in a YAML input file.\n - The generator applies these changes to relevant configurations.\n - It can generate multiple experiments automatically, making it especially useful for large perturbation ensembles.\n\n2. Branch-based storage approach\n - The generator checks out a control branch in a git repository.\n - For each perturbation, it creates a new branch containing modified parameters.\n - Changes are then committed on that branch and can be pushed back to the github repository.\n",
"bugtrack_url": null,
"license": "Apache-2.0",
"summary": "A tool to generate and manage parameter sensitivity experiments.",
"version": "0.0.2",
"project_urls": {
"Homepage": "https://github.com/ACCESS-NRI/access-experiment-generator"
},
"split_keywords": [
"experiment generator",
" workflow",
" access",
" payu"
],
"urls": [
{
"comment_text": null,
"digests": {
"blake2b_256": "e621483e0c3ce2adf59e380fafd79151e69fd4553d49c13ec74b961e7490c511",
"md5": "06899a9afb1b1f55caf0bfccd68c3796",
"sha256": "86ede16ae215109640ec240a5d9844a60806bdac9bee22d9bb34df03703266b7"
},
"downloads": -1,
"filename": "experiment_generator-0.0.2-py3-none-any.whl",
"has_sig": false,
"md5_digest": "06899a9afb1b1f55caf0bfccd68c3796",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": null,
"size": 23632,
"upload_time": "2025-08-13T23:47:12",
"upload_time_iso_8601": "2025-08-13T23:47:12.485316Z",
"url": "https://files.pythonhosted.org/packages/e6/21/483e0c3ce2adf59e380fafd79151e69fd4553d49c13ec74b961e7490c511/experiment_generator-0.0.2-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": null,
"digests": {
"blake2b_256": "d5f76615cf785f23ef7bbabd5d35f593935a1099c1279df9a5774bafbe090a82",
"md5": "603030cf116c75a6273d6ba9a9165ad5",
"sha256": "53b9ac2e71ceba7c61ae0e1d1357f21ceac73aa64b83ab24d8138fa95a811d53"
},
"downloads": -1,
"filename": "experiment_generator-0.0.2.tar.gz",
"has_sig": false,
"md5_digest": "603030cf116c75a6273d6ba9a9165ad5",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 31645,
"upload_time": "2025-08-13T23:47:13",
"upload_time_iso_8601": "2025-08-13T23:47:13.836631Z",
"url": "https://files.pythonhosted.org/packages/d5/f7/6615cf785f23ef7bbabd5d35f593935a1099c1279df9a5774bafbe090a82/experiment_generator-0.0.2.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2025-08-13 23:47:13",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "ACCESS-NRI",
"github_project": "access-experiment-generator",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"lcname": "experiment-generator"
}