| Name | psplib JSON |
| Version |
0.1.1
JSON |
| download |
| home_page | None |
| Summary | A parser for project scheduling instances. |
| upload_time | 2024-11-06 08:46:52 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.9 |
| license | MIT License |
| keywords |
psplib
project scheduling
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
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| coveralls test coverage |
No coveralls.
|
[](https://pypi.org/project/psplib/)
[](https://github.com/PyJobShop/PSPLIB/actions/workflows/CI.yml)
# PSPLIB
This library implements parsers for various project scheduling benchmark instances, including:
- Resource-Constrained Project Scheduling Problem (RCPSP)
- Multi-Mode Resource-Constrained Project Scheduling Problem (MMRCPSP)
- Resource-Constrained Multi Project Scheduling Problem (RCMPSP)
`psplib` only depends on `numpy` and can be installed in the usual way:
```
pip install psplib
```
## Example usage
``` python
>>> from psplib import parse
>>> instance = parse("j301_1.sm", instance_format="psplib")
>>> instance.num_resources
4
>>> instance.resources
[Resource(capacity=12, renewable=True), ..., Resource(capacity=12, renewable=True)]
>>> instance.num_projects
1
>>> instance.projects
[Project(activities=[0, 1, ..., 31], release_date=0)]
>>> instance.num_activities
32
>>> instance.activities
[Activity(modes=[Mode(duration=0, demands=[0, 0, 0, 0])], successors=[1, 2, 3], name=''),
Activity(modes=[Mode(duration=8, demands=[4, 0, 0, 0])], successors=[5, 10, 14], name=''),
...,
Activity(modes=[Mode(duration=0, demands=[0, 0, 0, 0])], successors=[], name='')]
```
All parsers return an instance of the [`ProjectInstance`](https://github.com/PyJobShop/PSPLIB/blob/main/psplib/ProjectInstance.py) class, which is an instance representation of the multi-project, multi-mode, resource-constrained project scheduling problem (MP-MM-RCPSP).
## Instance formats
`psplib` implements parsers for three commonly used instance formats, listed below.
To parse a specific instance format, set the `instance_format` argument in `parse`.
1. **PSPLIB format**: used by the [PSPLIB](https://www.om-db.wi.tum.de/psplib/) library to describe RCPSP and MMRCPSP instances.
2. **Patterson format**: used for RCPSP instances, mostly used by the [OR&S](https://www.projectmanagement.ugent.be/research/data) library. See [this](http://www.p2engine.com/p2reader/patterson_format) website for more details.
3. **MPLIB format**: used for RCMPSP instances from the [MPLIB](https://www.projectmanagement.ugent.be/research/data) library.
## Instance databases
The following websites host widely-used project scheduling benchmark instances.
- [PSPLIB](https://www.om-db.wi.tum.de/psplib/) contains different problem sets for various types of resource constrained project scheduling problems as well as optimal and heuristic solutions.
- [OR&S project database](https://www.projectmanagement.ugent.be/research/data) is the research data website of the Operations Research and Scheduling (OR&S) Research group of the Faculty of Economics and Business Administration at Ghent University (Belgium). OR&S is very active in the field of project scheduling and has published instances for many project scheduling variants.
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"description": "[](https://pypi.org/project/psplib/)\n[](https://github.com/PyJobShop/PSPLIB/actions/workflows/CI.yml)\n\n# PSPLIB\n\nThis library implements parsers for various project scheduling benchmark instances, including:\n- Resource-Constrained Project Scheduling Problem (RCPSP)\n- Multi-Mode Resource-Constrained Project Scheduling Problem (MMRCPSP)\n- Resource-Constrained Multi Project Scheduling Problem (RCMPSP)\n\n`psplib` only depends on `numpy` and can be installed in the usual way:\n\n```\npip install psplib\n```\n\n\n## Example usage\n\n``` python\n>>> from psplib import parse\n>>> instance = parse(\"j301_1.sm\", instance_format=\"psplib\") \n>>> instance.num_resources\n4\n\n>>> instance.resources\n[Resource(capacity=12, renewable=True), ..., Resource(capacity=12, renewable=True)]\n\n>>> instance.num_projects\n1\n\n>>> instance.projects\n[Project(activities=[0, 1, ..., 31], release_date=0)]\n\n>>> instance.num_activities\n32\n\n>>> instance.activities\n[Activity(modes=[Mode(duration=0, demands=[0, 0, 0, 0])], successors=[1, 2, 3], name=''), \n Activity(modes=[Mode(duration=8, demands=[4, 0, 0, 0])], successors=[5, 10, 14], name=''),\n ...,\n Activity(modes=[Mode(duration=0, demands=[0, 0, 0, 0])], successors=[], name='')]\n```\n\nAll parsers return an instance of the [`ProjectInstance`](https://github.com/PyJobShop/PSPLIB/blob/main/psplib/ProjectInstance.py) class, which is an instance representation of the multi-project, multi-mode, resource-constrained project scheduling problem (MP-MM-RCPSP). \n\n## Instance formats\n\n`psplib` implements parsers for three commonly used instance formats, listed below. \nTo parse a specific instance format, set the `instance_format` argument in `parse`.\n\n1. **PSPLIB format**: used by the [PSPLIB](https://www.om-db.wi.tum.de/psplib/) library to describe RCPSP and MMRCPSP instances.\n2. **Patterson format**: used for RCPSP instances, mostly used by the [OR&S](https://www.projectmanagement.ugent.be/research/data) library. See [this](http://www.p2engine.com/p2reader/patterson_format) website for more details.\n3. **MPLIB format**: used for RCMPSP instances from the [MPLIB](https://www.projectmanagement.ugent.be/research/data) library.\n\n## Instance databases\n\nThe following websites host widely-used project scheduling benchmark instances.\n\n- [PSPLIB](https://www.om-db.wi.tum.de/psplib/) contains different problem sets for various types of resource constrained project scheduling problems as well as optimal and heuristic solutions.\n\n- [OR&S project database](https://www.projectmanagement.ugent.be/research/data) is the research data website of the Operations Research and Scheduling (OR&S) Research group of the Faculty of Economics and Business Administration at Ghent University (Belgium). OR&S is very active in the field of project scheduling and has published instances for many project scheduling variants.\n",
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