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5a47c2c
Move examples from mesa repo to mesa-examples repo.
jackiekazil Nov 16, 2022
293d113
requirements: Pin Mesa version to 1.x
rht Dec 5, 2022
4808fc3
Fixed consistent capitalization of files.
ItsQuinnMoore Apr 24, 2023
7057338
Update outdated readme to be more accurate + clean up requirements.tx…
houssam-kensho Apr 24, 2023
c278053
Use pre-commit (#27)
catherinedevlin Apr 25, 2023
19a2d3e
Update examples to version 1.2 (using SingleGrid instead of Grid) (#30)
jeremander Apr 25, 2023
b20dc56
Fix bug boltzman model agent giving money to itself (#28)
houssam7737 Apr 25, 2023
8522cac
Add a 'headless' option to run.py to allow wolf_sheep to run headless
Apr 25, 2023
cf4e357
check to make sure sys.argv actually has two or more items
Apr 25, 2023
c37ae79
modified wolf_sheep edits to just include the one liine explicit true…
Apr 25, 2023
076de3e
Apply Black to boid_flockers
rht May 17, 2023
deae3c4
Implement Streamlit UI for Boltzmann wealth model (#36)
ankitk50 Jun 11, 2023
88b143e
Update Readme.md for Conway's Game of Life (#37)
ankitk50 Jun 11, 2023
7250c27
Package wolf_sheep example
rht Jun 17, 2023
93cf3e1
boltzmann wealth model: Apply isort to app.py
rht Jun 18, 2023
c3a16bf
Apply isort
rht Jun 25, 2023
5910dfd
Apply ruff --fix
rht Jun 25, 2023
e4fcb1c
boltzmann wealth model: Replace Streamlit viz with Solara
rht Jun 29, 2023
b0e26d4
Simplify boltzmann_wealth_model frontend setup
rht Jun 29, 2023
8bd395b
fix: Move agent_portrayal to example-specific file
rht Jun 29, 2023
d8d0e4e
feat: Support color in Jupyter viz
rht Jun 29, 2023
f6077f9
Fix Ruff errors
rht Jun 29, 2023
b2d6ff5
Add mesa_models to requirements.txt
rht Jun 29, 2023
fb3fd53
Make separate copies for experimental
rht Jun 29, 2023
2d41a8f
Add back original boltzmann and schelling
rht Jun 29, 2023
ea9f576
Bump to Mesa 2.0 (#40)
rht Jul 16, 2023
43d1ce4
Fix conways_game reqs txt.
jackiekazil Dec 27, 2023
420f87e
Apply ruff --fix .
rht Jan 11, 2024
2a381e5
Apply lint fixes
rht Jan 11, 2024
a0335e9
fix: Use new API to loop over agents_by_type
rht Jan 11, 2024
e33bf4e
Add super().__init__() in model.__init__()
rht Jan 11, 2024
39138a0
wolf_sheep: Handle the case when type_class not in agents_by_type
rht Jan 11, 2024
afc9d42
Boid flockers: Add Solara viz file
rht Jan 9, 2024
ad8e80f
Revert "fix: Use new API to loop over agents_by_type"
rht Jan 24, 2024
7c39970
Improve boid flocker model and documentation (#101)
coderbeta1 Feb 24, 2024
116ff17
Improve model to benchmark (#104)
coderbeta1 Feb 25, 2024
e0ab716
[pre-commit.ci] pre-commit autoupdate (#116)
pre-commit-ci[bot] May 7, 2024
e3b58f5
Fix pre-commit
EwoutH Jul 4, 2024
03fe965
Address duplicate position warning (#122)
rht Aug 10, 2024
7913feb
Use SolaraViz instead of JupyterViz in examples
EwoutH Aug 11, 2024
5679264
wolf_sheep: Replace custom scheduler with AgentSet functionality
EwoutH Aug 10, 2024
4700d27
Replace model.schedule.agents with model.agents AgentSet
EwoutH Aug 17, 2024
f857216
Replace RandomActivation scheduler with AgentSet
EwoutH Aug 17, 2024
c0a2b29
Replace SimultaneousActivation scheduler by AgentSet
EwoutH Aug 17, 2024
ad9a13a
Remove adding agents to schedulers
EwoutH Aug 17, 2024
49e392b
Restore Sugerscape and Wolf-sheep schedulers
EwoutH Aug 17, 2024
36b6a9d
Revert PR #161: Replace schedulers with AgentSet functionality (#170)
EwoutH Aug 22, 2024
915c208
Ensure grasspatches info is only collected if gras is true (#181)
quaquel Aug 28, 2024
a8df6c6
Reinstate PR #161: Replace schedulers with AgentSet functionality
EwoutH Aug 30, 2024
a5d16bf
Replace `get_agents_of_type` method with `agents_by_type` property (#…
EwoutH Sep 3, 2024
2f0427e
Remove unique_id and model.next_id (#194)
quaquel Sep 5, 2024
db9415b
update examples to use new SolaraViz API (#193)
Corvince Sep 17, 2024
5e90bf5
Use performance optimized shuffle_do() method (#201)
EwoutH Sep 21, 2024
438bff1
Replace the remaining schedulers with AgentSet functionality (#202)
EwoutH Sep 21, 2024
3ec87cf
merge experimental boltzmann wealth into boltzmann wealth example
wang-boyu Oct 12, 2024
744bcfa
Add examples
EwoutH Oct 12, 2024
460983e
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Oct 12, 2024
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113 changes: 113 additions & 0 deletions examples/boid_flockers/Flocker Test.ipynb
Original file line number Diff line number Diff line change
@@ -0,0 +1,113 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import matplotlib.pyplot as plt\n",
"from boid_flockers.model import BoidFlockers\n",
"\n",
"%matplotlib inline"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"def draw_boids(model):\n",
" x_vals = []\n",
" y_vals = []\n",
" for boid in model.agents:\n",
" x, y = boid.pos\n",
" x_vals.append(x)\n",
" y_vals.append(y)\n",
" fig = plt.figure(figsize=(10, 10))\n",
" ax = fig.add_subplot(111)\n",
" ax.scatter(x_vals, y_vals)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"model = BoidFlockers(100, 100, 100, speed=5, vision=5, separation=1)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"for i in range(50):\n",
" model.step()"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
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zzie5ZcbXAWC0Lp5M1o4k2TikeHJyf+8TavSMMSazBq4bktye5H9qrf1WVb03m3qyWmut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\narmHiCxjAMBsBC6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"text/plain": [
"<matplotlib.figure.Figure at 0x108938a58>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"draw_boids(model)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.4.2"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
47 changes: 47 additions & 0 deletions examples/boid_flockers/Readme.md
Original file line number Diff line number Diff line change
@@ -0,0 +1,47 @@
# Boids Flockers

## Summary

An implementation of Craig Reynolds's Boids flocker model. Agents (simulated birds) try to fly towards the average position of their neighbors and in the same direction as them, while maintaining a minimum distance. This produces flocking behavior.

This model tests Mesa's continuous space feature, and uses numpy arrays to represent vectors. It also demonstrates how to create custom visualization components.

## Installation

To install the dependencies use pip and the requirements.txt in this directory. e.g.

```
$ pip install -r requirements.txt
```

## How to Run

* To launch the visualization interactively, run ``mesa runserver`` in this directory. e.g.

```
$ mesa runserver
```

or

Directly run the file ``run.py`` in the terminal. e.g.

```
$ python run.py
```

* Then open your browser to [http://127.0.0.1:8521/](http://127.0.0.1:8521/) and press Reset, then Run.

## Files

* [boid_flockers/model.py](boid_flockers/model.py): Core model file; contains the Boid Model and Boid Agent class.
* [boid_flockers/SimpleContinuousModule.py](boid_flockers/SimpleContinuousModule.py): Defines ``SimpleCanvas``, the Python side of a custom visualization module for drawing agents with continuous positions.
* [boid_flockers/simple_continuous_canvas.js](boid_flockers/simple_continuous_canvas.js): JavaScript side of the ``SimpleCanvas`` visualization module; takes the output generated by the Python ``SimpleCanvas`` element and draws it in the browser window via HTML5 canvas.
* [boid_flockers/server.py](boid_flockers/server.py): Sets up the visualization; uses the SimpleCanvas element defined above
* [run.py](run.py) Launches the visualization.
* [Flocker_Test.ipynb](Flocker_Test.ipynb): Tests the model in a Jupyter notebook.

## Further Reading

The following link can be visited for more information on the boid flockers model:
https://cs.stanford.edu/people/eroberts/courses/soco/projects/2008-09/modeling-natural-systems/boids.html
27 changes: 27 additions & 0 deletions examples/boid_flockers/app.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,27 @@
from boid_flockers.model import BoidFlockers

from mesa.visualization import SolaraViz, make_space_matplotlib


def boid_draw(agent):
return {"color": "tab:red"}


model_params = {
"population": 100,
"width": 100,
"height": 100,
"speed": 5,
"vision": 10,
"separation": 2,
}

model = BoidFlockers(100, 100, 100, 5, 10, 2)

page = SolaraViz(
model,
[make_space_matplotlib(agent_portrayal=boid_draw)],
model_params=model_params,
name="BoidFlockers",
)
page # noqa
27 changes: 27 additions & 0 deletions examples/boid_flockers/boid_flockers/SimpleContinuousModule.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,27 @@
import mesa


class SimpleCanvas(mesa.visualization.VisualizationElement):
local_includes = ["boid_flockers/simple_continuous_canvas.js"]

def __init__(self, portrayal_method=None, canvas_height=500, canvas_width=500):
"""Instantiate a new SimpleCanvas"""
self.portrayal_method = portrayal_method
self.canvas_height = canvas_height
self.canvas_width = canvas_width
new_element = (
f"new Simple_Continuous_Module({self.canvas_width}, {self.canvas_height})"
)
self.js_code = "elements.push(" + new_element + ");"

def render(self, model):
space_state = []
for obj in model.agents:
portrayal = self.portrayal_method(obj)
x, y = obj.pos
x = (x - model.space.x_min) / (model.space.x_max - model.space.x_min)
y = (y - model.space.y_min) / (model.space.y_max - model.space.y_min)
portrayal["x"] = x
portrayal["y"] = y
space_state.append(portrayal)
return space_state
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