https://github.com/snkas/discrevpy
Minimalist discrete event simulator in Python.
https://github.com/snkas/discrevpy
Last synced: 3 months ago
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Minimalist discrete event simulator in Python.
- Host: GitHub
- URL: https://github.com/snkas/discrevpy
- Owner: snkas
- License: mit
- Created: 2021-04-26T16:50:03.000Z (about 4 years ago)
- Default Branch: master
- Last Pushed: 2021-05-02T18:38:03.000Z (about 4 years ago)
- Last Synced: 2024-09-29T08:08:30.383Z (10 months ago)
- Language: Python
- Size: 330 KB
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# discrevpy: minimalist discrete event simulator
[](https://github.com/snkas/discrevpy/actions?query=workflow%3Abuild+branch%3Amaster)
[](https://codecov.io/gh/snkas/discrevpy)
[](https://github.com/snkas/discrevpy/blob/master/LICENSE)
[](https://github.com/snkas/discrevpy/releases)
[](https://pypi.org/project/discrevpy/)**discrevpy** is a minimalist discrete event simulator in Python. It makes use of function/method
callbacks in its event execution. The discrevpy simulator does not implement any message passing
and is thus exclusively single-threaded.## Installation
**Python version: 3.7+**
```bash
python3 -m pip install discrevpy
```## Getting started
**Example usage:**
```python
from discrevpy import simulatordef something(value):
print("t=" + str(simulator.now()) + ": something() with value " + str(value))simulator.ready()
simulator.schedule(44, something, "ABC")
simulator.schedule(967, something, "XYZ")
simulator.end(10000)
simulator.run()
simulator.reset()
```**Documentation:**
https://snkas.github.io/discrevpy/
**Next steps:**
* [View some short examples](https://snkas.github.io/discrevpy/short_examples.html)
* [View more in-depth longer examples](https://snkas.github.io/discrevpy/long_examples.html)
* [Explore the API](https://snkas.github.io/discrevpy/api_reference.html)
* [Learn more about discrete event simulation](https://snkas.github.io/discrevpy/what_is_discrete_event_simulation.html)
* [Read some tips to help you speed up your simulations](https://snkas.github.io/discrevpy/practical_tips.html)
* [Understand better the memory usage overhead of discrevpy](https://snkas.github.io/discrevpy/memory_usage.html)**Development:**
* [Read the module development instructions](https://snkas.github.io/discrevpy/development.html)
* [Browse the GitHub repository](https://github.com/snkas/discrevpy)
* [View the MIT license](https://github.com/snkas/discrevpy/blob/master/LICENSE)