| Name | oasisabm JSON |
| Version |
1.0.0
JSON |
| download |
| home_page | |
| Summary | This is a stable version of the OASIS activity-based framework. This repository includes the simulation code, based on the Python API of the CPLEX solver. |
| upload_time | 2023-10-02 10:07:40 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | >=3.8 |
| license | |
| keywords |
python
disdrometer
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# OASIS v1.0.0
[](https://zenodo.org/badge/latestdoi/685457042)
## Description
This is a stable version of the OASIS activity-based framework. This repository includes the simulation code, based on the Python API of the CPLEX solver.
For more details, you can find the technical reports in the **Literature** folder, and the full documentation [here](https://oasis-abm.readthedocs.io/en/latest/).
## Installation guide
We recommend creating a new environment using the provided requirements file to install the correct packages.
**NB: You need a valid CPLEX user license to use the solver, which can be obtained [here](https://www.ibm.com/academic/topic/data-science).**
## Tutorial
An example of how to run the simulator is provided in the ``demo`` notebooks. Your main function should be added in the ``runner`` script, which you can run by typing the following command:
``python runner.py``
## Citation
If you found this repository useful, you can acknowledge the authors by citing:
* Pougala, J., Hillel, T., and Bierlaire M. (2023) *OASIS: Optimisation-based Activity Scheduling with Integrated Simultaneous choice dimensions*, Transportation Research Part C: Emerging Technologies, vol. 155, p. 104291, DOI: [https://doi.org/10.1016/j.trc.2023.104291](https://doi.org/10.1016/j.trc.2023.104291)
Raw data
{
"_id": null,
"home_page": "",
"name": "oasisabm",
"maintainer": "",
"docs_url": null,
"requires_python": ">=3.8",
"maintainer_email": "",
"keywords": "python,disdrometer",
"author": "",
"author_email": "Janody Pougala <janody.pougala@epfl.ch>",
"download_url": "https://files.pythonhosted.org/packages/9b/95/f0d60619475fe81503faf27c7157fa0419da8b48de14345125be7fc1c5d0/oasisabm-1.0.0.tar.gz",
"platform": null,
"description": "# OASIS v1.0.0\n\n[](https://zenodo.org/badge/latestdoi/685457042)\n\n## Description\n\nThis is a stable version of the OASIS activity-based framework. This repository includes the simulation code, based on the Python API of the CPLEX solver.\n\nFor more details, you can find the technical reports in the **Literature** folder, and the full documentation [here](https://oasis-abm.readthedocs.io/en/latest/).\n\n## Installation guide \u00a0 \n\nWe recommend creating a new environment using the provided requirements file to install the correct packages. \n**NB: You need a valid CPLEX user license to use the solver, which can be obtained [here](https://www.ibm.com/academic/topic/data-science).**\n\n## Tutorial \n\nAn example of how to run the simulator is provided in the ``demo`` notebooks. Your main function should be added in the ``runner`` script, which you can run by typing the following command:\n``python runner.py``\n\n## Citation\n\nIf you found this repository useful, you can acknowledge the authors by citing:\n\n* Pougala, J., Hillel, T., and Bierlaire M. (2023) *OASIS: Optimisation-based Activity Scheduling with Integrated Simultaneous choice dimensions*, Transportation Research Part C: Emerging Technologies, vol. 155, p. 104291, DOI: [https://doi.org/10.1016/j.trc.2023.104291](https://doi.org/10.1016/j.trc.2023.104291)\n\n\n",
"bugtrack_url": null,
"license": "",
"summary": "This is a stable version of the OASIS activity-based framework. This repository includes the simulation code, based on the Python API of the CPLEX solver.",
"version": "1.0.0",
"project_urls": null,
"split_keywords": [
"python",
"disdrometer"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "c3f6045ce4f50b59a4e465fad769e0604ef7a118e05703d62cbd7ab7052027a4",
"md5": "76b2c3f58e18f6024a5ffe1b9515a1a1",
"sha256": "09b8f7186a6381575d0d6e7b4f45a3bbd53ecffae333b994e6c0717455b47a90"
},
"downloads": -1,
"filename": "oasisabm-1.0.0-py3-none-any.whl",
"has_sig": false,
"md5_digest": "76b2c3f58e18f6024a5ffe1b9515a1a1",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.8",
"size": 41482,
"upload_time": "2023-10-02T10:07:38",
"upload_time_iso_8601": "2023-10-02T10:07:38.675446Z",
"url": "https://files.pythonhosted.org/packages/c3/f6/045ce4f50b59a4e465fad769e0604ef7a118e05703d62cbd7ab7052027a4/oasisabm-1.0.0-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "9b95f0d60619475fe81503faf27c7157fa0419da8b48de14345125be7fc1c5d0",
"md5": "776e7594745b7e3d5669a66403394fa6",
"sha256": "ce9e29565a38b001cc0741c61414af8d1f340f1679f0c31f1c15d65e58ee48e7"
},
"downloads": -1,
"filename": "oasisabm-1.0.0.tar.gz",
"has_sig": false,
"md5_digest": "776e7594745b7e3d5669a66403394fa6",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.8",
"size": 4554501,
"upload_time": "2023-10-02T10:07:40",
"upload_time_iso_8601": "2023-10-02T10:07:40.591617Z",
"url": "https://files.pythonhosted.org/packages/9b/95/f0d60619475fe81503faf27c7157fa0419da8b48de14345125be7fc1c5d0/oasisabm-1.0.0.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-10-02 10:07:40",
"github": false,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"lcname": "oasisabm"
}
