From 2925aacd63a915c97b93d767df78aac4dc1bcde4 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?V=C3=ADtor=20Fr=C3=B3is?= Date: Sat, 13 Jul 2024 16:41:26 -0300 Subject: [PATCH 01/82] created ising model --- examples/ising/README.md | 0 examples/ising/ising/model.py | 47 +++++++++++++++++++++++++++++++ examples/ising/ising/portrayal.py | 19 +++++++++++++ examples/ising/ising/spin.py | 20 +++++++++++++ examples/ising/run.py | 14 +++++++++ 5 files changed, 100 insertions(+) create mode 100644 examples/ising/README.md create mode 100644 examples/ising/ising/model.py create mode 100644 examples/ising/ising/portrayal.py create mode 100644 examples/ising/ising/spin.py create mode 100644 examples/ising/run.py diff --git a/examples/ising/README.md b/examples/ising/README.md new file mode 100644 index 00000000..e69de29b diff --git a/examples/ising/ising/model.py b/examples/ising/ising/model.py new file mode 100644 index 00000000..131f05cf --- /dev/null +++ b/examples/ising/ising/model.py @@ -0,0 +1,47 @@ +import mesa +import numpy as np + +from .spin import Spin + + +class IsingModel(mesa.Model): + BOLTZMANN_CONSTANT = 1.380649e-23 + + def __init__( + self, + width=50, + height=50, + spin_up_probability: float = 0.5, + temperature: float = 2.27, + ): + super().__init__() + self.temperature = temperature + self.grid = mesa.space.SingleGrid(width, height, torus=True) + + for contents, (x, y) in self.grid.coord_iter(): + cell = Spin((x, y), self, Spin.DOWN) + if self.random.random() < spin_up_probability: + cell.state = cell.UP + self.grid.place_agent(cell, (x, y)) + + self.running = True + + def step(self): + agents_list = list(self.agents) + random_spin = self.random.choice(agents_list) + dE = self.get_energy_change(random_spin) + if dE < 0: + random_spin.state *= -1 + else: + if self.random.random() < self.boltzmann(dE): + random_spin.state *= -1 + + def get_energy_change(self, spin: Spin): + neighbors = spin.neighbors() + sum_over_neighbors = 0 + for neighbor in neighbors: + sum_over_neighbors += spin.state * neighbor.state + return -1 * sum_over_neighbors + + def boltzmann(self, dE): + return np.exp(-dE / (self.BOLTZMANN_CONSTANT * self.temperature)) diff --git a/examples/ising/ising/portrayal.py b/examples/ising/ising/portrayal.py new file mode 100644 index 00000000..c9990a5f --- /dev/null +++ b/examples/ising/ising/portrayal.py @@ -0,0 +1,19 @@ +def portraySpin(spin): + """ + This function is registered with the visualization server to be called + each tick to indicate how to draw the cell in its current state. + :param cell: the cell in the simulation + :return: the portrayal dictionary. + """ + if spin is None: + raise AssertionError + return { + "Shape": "rect", + "w": 1, + "h": 1, + "Filled": "true", + "Layer": 0, + "x": spin.x, + "y": spin.y, + "Color": "black" if spin.state is spin.UP else "white", + } diff --git a/examples/ising/ising/spin.py b/examples/ising/ising/spin.py new file mode 100644 index 00000000..350b7247 --- /dev/null +++ b/examples/ising/ising/spin.py @@ -0,0 +1,20 @@ +import mesa + + +class Spin(mesa.Agent): + """Represents a single ALIVE or DEAD cell in the simulation.""" + + UP = 1 + DOWN = -1 + + def __init__(self, pos, model, init_state): + """ + Create a cell, in the given state, at the given x, y position. + """ + super().__init__(pos, model) + self.x, self.y = pos + self.state = init_state + + @property + def neighbors(self): + return self.model.grid.iter_neighbors((self.x, self.y), True) diff --git a/examples/ising/run.py b/examples/ising/run.py new file mode 100644 index 00000000..7275652b --- /dev/null +++ b/examples/ising/run.py @@ -0,0 +1,14 @@ +import solara +from ising.model import IsingModel +from ising.portrayal import portraySpin +from mesa.visualization import JupyterViz + + +@solara.component +def Page(): + JupyterViz( + IsingModel, + {}, + name="Ising Model Model", + agent_portrayal=portraySpin, + ) From ec724b3b5c139fb9c8d95f95350f6e0c1ec46e80 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?V=C3=ADtor=20Fr=C3=B3is?= Date: Sat, 13 Jul 2024 17:31:56 -0300 Subject: [PATCH 02/82] created ising model --- examples/ising/README.md | 2 ++ examples/ising/ising/model.py | 16 +++++++++------- examples/ising/ising/portrayal.py | 4 ++-- examples/ising/ising/spin.py | 1 - examples/ising/run.py | 3 ++- 5 files changed, 15 insertions(+), 11 deletions(-) diff --git a/examples/ising/README.md b/examples/ising/README.md index e69de29b..d6bfa62c 100644 --- a/examples/ising/README.md +++ b/examples/ising/README.md @@ -0,0 +1,2 @@ +# Ising Model + diff --git a/examples/ising/ising/model.py b/examples/ising/ising/model.py index 131f05cf..c86ba685 100644 --- a/examples/ising/ising/model.py +++ b/examples/ising/ising/model.py @@ -5,14 +5,12 @@ class IsingModel(mesa.Model): - BOLTZMANN_CONSTANT = 1.380649e-23 - def __init__( self, width=50, height=50, - spin_up_probability: float = 0.5, - temperature: float = 2.27, + spin_up_probability: float = 0.7, + temperature: float = 1, ): super().__init__() self.temperature = temperature @@ -27,6 +25,7 @@ def __init__( self.running = True def step(self): + self._steps += 1 agents_list = list(self.agents) random_spin = self.random.choice(agents_list) dE = self.get_energy_change(random_spin) @@ -34,14 +33,17 @@ def step(self): random_spin.state *= -1 else: if self.random.random() < self.boltzmann(dE): + print("change spin") random_spin.state *= -1 def get_energy_change(self, spin: Spin): neighbors = spin.neighbors() sum_over_neighbors = 0 for neighbor in neighbors: - sum_over_neighbors += spin.state * neighbor.state - return -1 * sum_over_neighbors + sum_over_neighbors += neighbor.state + return sum_over_neighbors * 2 * spin.state def boltzmann(self, dE): - return np.exp(-dE / (self.BOLTZMANN_CONSTANT * self.temperature)) + v = np.exp(-dE / self.temperature) + print(v) + return v diff --git a/examples/ising/ising/portrayal.py b/examples/ising/ising/portrayal.py index c9990a5f..2cb6a961 100644 --- a/examples/ising/ising/portrayal.py +++ b/examples/ising/ising/portrayal.py @@ -8,12 +8,12 @@ def portraySpin(spin): if spin is None: raise AssertionError return { - "Shape": "rect", + "marker": "s", "w": 1, "h": 1, "Filled": "true", "Layer": 0, "x": spin.x, "y": spin.y, - "Color": "black" if spin.state is spin.UP else "white", + "color": "grey" if spin.state is spin.UP else "black", } diff --git a/examples/ising/ising/spin.py b/examples/ising/ising/spin.py index 350b7247..4ce076d0 100644 --- a/examples/ising/ising/spin.py +++ b/examples/ising/ising/spin.py @@ -15,6 +15,5 @@ def __init__(self, pos, model, init_state): self.x, self.y = pos self.state = init_state - @property def neighbors(self): return self.model.grid.iter_neighbors((self.x, self.y), True) diff --git a/examples/ising/run.py b/examples/ising/run.py index 7275652b..f7fa74e2 100644 --- a/examples/ising/run.py +++ b/examples/ising/run.py @@ -9,6 +9,7 @@ def Page(): JupyterViz( IsingModel, {}, - name="Ising Model Model", + name="Ising Model", agent_portrayal=portraySpin, + play_interval=1, ) From ff3b7fafe6b4a1232a705723dcbd22dc3a9b39d6 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?V=C3=ADtor=20Fr=C3=B3is?= Date: Sat, 13 Jul 2024 18:10:44 -0300 Subject: [PATCH 03/82] final fixes --- examples/ising/README.md | 23 +++++++++++++++++++++++ examples/ising/ising/model.py | 20 +++++++++----------- examples/ising/run.py | 17 +++++++++++++++-- 3 files changed, 47 insertions(+), 13 deletions(-) diff --git a/examples/ising/README.md b/examples/ising/README.md index d6bfa62c..6b8b02a1 100644 --- a/examples/ising/README.md +++ b/examples/ising/README.md @@ -1,2 +1,25 @@ # Ising Model +## Summary + +The Ising model (or Lenz–Ising model), named after the physicists Ernst Ising and Wilhelm Lenz, is a mathematical model of ferromagnetism in statistical mechanics. The model consists of discrete variables that represent magnetic dipole moments of atomic "spins" that can be in one of two states (+1 or −1). The spins are arranged in a graph, usually a lattice (where the local structure repeats periodically in all directions), allowing each spin to interact with its neighbors. Neighboring spins that agree have a lower energy than those that disagree; the system tends to the lowest energy but heat disturbs this tendency, thus creating the possibility of different structural phases. The model allows the identification of phase transitions as a simplified model of reality. The two-dimensional square-lattice Ising model is one of the simplest statistical models to show a phase transition. + +## How to Run + +To run the model interactively, run ``solara run run.py`` in this directory. e.g. + +Then open your browser to [http://127.0.0.1:8521/](http://127.0.0.1:8521/) and press ``run``. + +## Things to Try + +What happens when the temperature slider is very high? (This is called the "paramagnetic" state.) Try this with different **Spin Up Probability** values. + +What happens when the temperature slider is set very low? (This is called the "ferromagnetic" state.) Again, try this with different **Spin Up Probability** values. + +Between these two very different behaviors is a transition point. On an infinite grid, the transition point can be proved to be $2 / ln (1 + sqrt 2)$, which is about 2.27. On a large enough finite toroidal grid, the transition point is near this number. + +## References + +(NetLogo Ising)[https://ccl.northwestern.edu/netlogo/models/Ising] + +(Introduction to Monte Carlo methods for an Ising Model of a Ferromagnet)[https://arxiv.org/pdf/0803.0217] diff --git a/examples/ising/ising/model.py b/examples/ising/ising/model.py index c86ba685..fcbdf02a 100644 --- a/examples/ising/ising/model.py +++ b/examples/ising/ising/model.py @@ -25,16 +25,16 @@ def __init__( self.running = True def step(self): - self._steps += 1 agents_list = list(self.agents) - random_spin = self.random.choice(agents_list) - dE = self.get_energy_change(random_spin) - if dE < 0: - random_spin.state *= -1 - else: - if self.random.random() < self.boltzmann(dE): - print("change spin") + self._steps += 1000 + for i in range(1000): + random_spin = self.random.choice(agents_list) + dE = self.get_energy_change(random_spin) + if dE < 0: random_spin.state *= -1 + else: + if self.random.random() < self.boltzmann(dE): + random_spin.state *= -1 def get_energy_change(self, spin: Spin): neighbors = spin.neighbors() @@ -44,6 +44,4 @@ def get_energy_change(self, spin: Spin): return sum_over_neighbors * 2 * spin.state def boltzmann(self, dE): - v = np.exp(-dE / self.temperature) - print(v) - return v + return np.exp(-dE / self.temperature) diff --git a/examples/ising/run.py b/examples/ising/run.py index f7fa74e2..3584224a 100644 --- a/examples/ising/run.py +++ b/examples/ising/run.py @@ -2,14 +2,27 @@ from ising.model import IsingModel from ising.portrayal import portraySpin from mesa.visualization import JupyterViz +from mesa.visualization.UserParam import Slider + +model_params = { + "temperature": Slider( + label="Temperature", value=2, min=0.01, max=10, step=0.06, dtype=float + ), + "spin_up_probability": Slider( + label="Spin Up Probability", + value=0.5, + min=0, + max=1, + step=0.05, + ), +} @solara.component def Page(): JupyterViz( IsingModel, - {}, + model_params, name="Ising Model", agent_portrayal=portraySpin, - play_interval=1, ) From d60038e7b426d7ef283387e69e28f774f5cf748b Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?V=C3=ADtor=20Fr=C3=B3is?= Date: Sun, 14 Jul 2024 12:29:51 -0300 Subject: [PATCH 04/82] fix portrayal --- examples/ising/ising/portrayal.py | 4 ---- 1 file changed, 4 deletions(-) diff --git a/examples/ising/ising/portrayal.py b/examples/ising/ising/portrayal.py index 2cb6a961..252311d5 100644 --- a/examples/ising/ising/portrayal.py +++ b/examples/ising/ising/portrayal.py @@ -9,10 +9,6 @@ def portraySpin(spin): raise AssertionError return { "marker": "s", - "w": 1, - "h": 1, - "Filled": "true", - "Layer": 0, "x": spin.x, "y": spin.y, "color": "grey" if spin.state is spin.UP else "black", From df3b9e0a01250ecdbaa5a1b045cf4bfc13ae3194 Mon Sep 17 00:00:00 2001 From: Wang Boyu Date: Tue, 16 Jul 2024 21:11:14 +0800 Subject: [PATCH 05/82] categorize example models into groups --- examples/README.md | 102 ++++++++++++++++++++++++++++++++------------- 1 file changed, 73 insertions(+), 29 deletions(-) diff --git a/examples/README.md b/examples/README.md index dac81ed3..ba9d2538 100644 --- a/examples/README.md +++ b/examples/README.md @@ -1,57 +1,101 @@ # Example Code This directory contains example models meant to test and demonstrate Mesa's features, and provide demonstrations for how to build and analyze agent-based models. For more information on each model, see its own Readme and documentation. -## Models +## Grid Space Examples -Classic models, some of which can be found in NetLogo's/MASON's example models. +### [Bank Reserves Model](https://github.com/projectmesa/mesa-examples/blob/main/examples/bank_reserves) -### bank_reserves A highly abstracted, simplified model of an economy, with only one type of agent and a single bank representing all banks in an economy. -### color_patches +### [Boltzmann Wealth Model](https://github.com/projectmesa/mesa-examples/tree/main/examples/boltzmann_wealth_model) + +Completed code to go along with the [tutorial](https://mesa.readthedocs.io/en/latest/tutorials/intro_tutorial.html) on making a simple model of how a highly-skewed wealth distribution can emerge from simple rules. + +### [Color Patches Model](https://github.com/projectmesa/mesa-examples/tree/main/examples/color_patches) + A cellular automaton model where agents opinions are influenced by that of their neighbors. As the model evolves, color patches representing the prevailing opinion in a given area expand, contract, and sometimes disappear. -### conways_game_of_life +### [Conway's Game Of "Life" Model](https://github.com/projectmesa/mesa-examples/tree/main/examples/conways_game_of_life) + Implementation of [Conway's Game of Life](https://en.wikipedia.org/wiki/Conway%27s_Game_of_Life), a cellular automata where simple rules can give rise to complex patterns. -### epstein_civil_violence +### [Conway's Game Of "Life" Model on a Hexagonal Grid](https://github.com/projectmesa/mesa-examples/tree/main/examples/hex_snowflake) + +Conway's game of life on a hexagonal grid. + +### [Demographic Prisoner's Dilemma on a Grid](https://github.com/projectmesa/mesa-examples/tree/main/examples/pd_grid) + +Grid-based demographic prisoner's dilemma model, demonstrating how simple rules can lead to the emergence of widespread cooperation -- and how a model activation regime can change its outcome. + +### [Epstein Civil Violence Model](https://github.com/projectmesa/mesa-examples/tree/main/examples/epstein_civil_violence) + Joshua Epstein's [model](http://www.uvm.edu/~pdodds/files/papers/others/2002/epstein2002a.pdf) of how a decentralized uprising can be suppressed or reach a critical mass of support. -### boid_flockers +### [Forest Fire Model](https://github.com/projectmesa/mesa-examples/tree/main/examples/forest_fire) + +Simple cellular automata of a fire spreading through a forest of cells on a grid, based on the NetLogo [Fire](http://ccl.northwestern.edu/netlogo/models/Fire) model. + +### [Hotelling's Law Model](https://github.com/projectmesa/mesa-examples/tree/main/examples/hotelling_law) + +This project is an agent-based model implemented using the Mesa framework in Python. It simulates market dynamics based on Hotelling's Law, exploring the behavior of stores in a competitive market environment. Stores adjust their prices and locations if it's increases market share to maximize revenue, providing insights into the effects of competition and customer behavior on market outcomes. + +### [Schelling Segregation Model](https://github.com/projectmesa/mesa-examples/tree/main/examples/schelling) + +Mesa implementation of the classic [Schelling segregation](http://nifty.stanford.edu/2014/mccown-schelling-model-segregation/) model. + +### [Sugarscape Constant Growback Model](https://github.com/projectmesa/mesa-examples/tree/main/examples/sugarscape_cg) + +This is Epstein & Axtell's Sugarscape Constant Growback model, with a detailed description in the Chapter Two of *Growing Artificial Societies: Social Science from the Bottom Up*. It is based on the Netlogo +[Sugarscape 2 Constant Growback](http://ccl.northwestern.edu/netlogo/models/Sugarscape2ConstantGrowback) model. + +### [Sugarscape Constant Growback Model with Traders](https://github.com/projectmesa/mesa-examples/tree/main/examples/sugarscape_g1mt) + +This is Epstein & Axtell's Sugarscape model with Traders, a detailed description is in Chapter four of *Growing Artificial Societies: Social Science from the Bottom Up (1996)*. The model shows an emergent price equilibrium can happen via a decentralized dynamics. + +### [Wolf-Sheep Predation Model](https://github.com/projectmesa/mesa-examples/tree/main/examples/wolf_sheep) + +Implementation of an ecological model of predation and reproduction, based on the NetLogo [Wolf Sheep Predation](http://ccl.northwestern.edu/netlogo/models/WolfSheepPredation) model. + +## Continuous Space Examples + +### [Boids Flockers Model](https://github.com/projectmesa/mesa-examples/tree/main/examples/boid_flockers) + [Boids](https://en.wikipedia.org/wiki/Boids)-style flocking model, demonstrating the use of agents moving through a continuous space following direction vectors. -### forest_fire -Simple cellular automata of a fire spreading through a forest of cells on a grid, based on the NetLogo [Fire model](http://ccl.northwestern.edu/netlogo/models/Fire). +## Network Examples -### hex_snowflake -Conway's game of life on a hexagonal grid. +### [Boltzmann Wealth Model with Network](https://github.com/projectmesa/mesa-examples/tree/main/examples/boltzmann_wealth_model_network) -### pd_grid -Grid-based demographic prisoner's dilemma model, demonstrating how simple rules can lead to the emergence of widespread cooperation -- and how a model activation regime can change its outcome. +This is the same [Boltzmann Wealth](https://github.com/projectmesa/mesa-examples/tree/main/examples/boltzmann_wealth_model) Model, but with a network grid implementation. -### schelling (GUI and Text) -Mesa implementation of the classic [Schelling segregation model](http://nifty.stanford.edu/2014/mccown-schelling-model-segregation/). +### [Virus on a Network Model](https://github.com/projectmesa/mesa-examples/tree/main/examples/virus_on_network) -### boltzmann_wealth_model -Completed code to go along with the [tutorial]() on making a simple model of how a highly-skewed wealth distribution can emerge from simple rules. +This model is based on the NetLogo [Virus on a Network](https://ccl.northwestern.edu/netlogo/models/VirusonaNetwork) model. -### wolf_sheep -Implementation of an ecological model of predation and reproduction, based on the NetLogo [Wolf Sheep Predation model](http://ccl.northwestern.edu/netlogo/models/WolfSheepPredation). +## Visualization Examples -### sugarscape_cg -Implementation of Sugarscape 2 Constant Growback model, based on the Netlogo -[Sugarscape 2 Constant Growback](http://ccl.northwestern.edu/netlogo/models/Sugarscape2ConstantGrowback) +### [Boltzmann Wealth Model (Experimental)](https://github.com/projectmesa/mesa-examples/tree/main/examples/boltzmann_wealth_model_experimental) -### virus_on_network -This model is based on the NetLogo model "Virus on Network". +Boltzmann Wealth model with the experimental Juptyer notebook visualization feature. -## Feature examples +### [Charts Example](https://github.com/projectmesa/mesa-examples/tree/main/examples/charts) -Example models specifically for demonstrating Mesa's features. +A modified version of the [Bank Reserves](https://github.com/projectmesa/mesa-examples/tree/main/examples/bank_reserves) example made to provide examples of Mesa's charting tools. -### charts +### [Schelling Segregation Model (Experimental)](https://github.com/projectmesa/mesa-examples/tree/main/examples/schelling_experimental) -A modified version of the "bank_reserves" example made to provide examples of mesa's charting tools. +Schelling segregation model with the experimental Juptyer notebook visualization feature. + +### [Shape Example](https://github.com/projectmesa/mesa-examples/tree/main/examples/shape_example) -### Shape Example Example of grid display and direction showing agents in the form of arrow-head shape. + +## Other Examples + +### [El Farol Model](https://github.com/projectmesa/mesa-examples/tree/main/examples/el_farol) + +This folder contains an implementation of El Farol restaurant model. Agents (restaurant customers) decide whether to go to the restaurant or not based on their memory and reward from previous trials. Implications from the model have been used to explain how individual decision-making affects overall performance and fluctuation. + +### [Schelling Model with Caching and Replay](https://github.com/projectmesa/mesa-examples/tree/main/examples/caching_and_replay) + +This example applies caching on the Mesa [Schelling](https://github.com/projectmesa/mesa-examples/tree/main/examples/schelling) example. It enables a simulation run to be "cached" or in other words recorded. The recorded simulation run is persisted on the local file system and can be replayed at any later point. From e137a60e4e2f2546901bec497e79c4a7b0cc69bb Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Mon, 22 Jul 2024 09:58:29 +0200 Subject: [PATCH 06/82] Make batch_run pytestable by adding main() functions (#143) Added a main() function to bank_reserves `batch_run.py` and sugarscape_g1mt `run.py` scripts to facilitate testing and script execution. The `main()` function encapsulates the primary script logic, allowing for easier modular testing and execution. By defining script operations within `main()`, we can directly invoke this function in testing environments without relying on command-line execution. This practice enhances code readability, maintainability, and testability, providing a clear entry point for the script's functionality. --- examples/bank_reserves/batch_run.py | 34 +++--------- examples/sugarscape_g1mt/run.py | 84 ++++++++++++++--------------- 2 files changed, 47 insertions(+), 71 deletions(-) diff --git a/examples/bank_reserves/batch_run.py b/examples/bank_reserves/batch_run.py index fae38433..4a0115bb 100644 --- a/examples/bank_reserves/batch_run.py +++ b/examples/bank_reserves/batch_run.py @@ -185,7 +185,9 @@ def run_model(self): "reserve_percent": 5, } -if __name__ == "__main__": + +def main(): + # The existing batch run logic here data = mesa.batch_run( BankReservesModel, br_params, @@ -193,30 +195,6 @@ def run_model(self): br_df = pd.DataFrame(data) br_df.to_csv("BankReservesModel_Data.csv") - # The commented out code below is the equivalent code as above, but done - # via the legacy BatchRunner class. This is a good example to look at if - # you want to migrate your code to use `batch_run()` from `BatchRunner`. - # Things to note: - # - You have to set "reserve_percent" in br_params to `[5]`, because the - # legacy BatchRunner doesn't auto-detect that it is single-valued. - # - The model reporters need to be explicitly specified in the legacy - # BatchRunner - """ - from mesa.batchrunner import BatchRunnerMP - br = BatchRunnerMP( - BankReservesModel, - nr_processes=2, - variable_parameters=br_params, - iterations=2, - max_steps=1000, - model_reporters={"Data Collector": lambda m: m.datacollector}, - ) - br.run_all() - br_df = br.get_model_vars_dataframe() - br_step_data = pd.DataFrame() - for i in range(len(br_df["Data Collector"])): - if isinstance(br_df["Data Collector"][i], DataCollector): - i_run_data = br_df["Data Collector"][i].get_model_vars_dataframe() - br_step_data = br_step_data.append(i_run_data, ignore_index=True) - br_step_data.to_csv("BankReservesModel_Step_Data.csv") - """ + +if __name__ == "__main__": + main() diff --git a/examples/sugarscape_g1mt/run.py b/examples/sugarscape_g1mt/run.py index 1522adb3..f1056fa4 100644 --- a/examples/sugarscape_g1mt/run.py +++ b/examples/sugarscape_g1mt/run.py @@ -61,47 +61,45 @@ def assess_results(results, single_agent): # Run the model +def main(): + args = sys.argv[1:] + + if len(args) == 0: + server.launch() + + elif args[0] == "-s": + print("Running Single Model") + model = SugarscapeG1mt() + model.run_model() + model_results = model.datacollector.get_model_vars_dataframe() + model_results["Step"] = model_results.index + agent_results = model.datacollector.get_agent_vars_dataframe() + agent_results = agent_results.reset_index() + assess_results(model_results, agent_results) + + elif args[0] == "-b": + print("Conducting a Batch Run") + params = { + "width": 50, + "height": 50, + "vision_min": range(1, 4), + "metabolism_max": [2, 3, 4, 5], + } + + results_batch = mesa.batch_run( + SugarscapeG1mt, + parameters=params, + iterations=1, + number_processes=1, + data_collection_period=1, + display_progress=True, + ) + + assess_results(results_batch, None) -args = sys.argv[1:] - -if len(args) == 0: - server.launch() - -elif args[0] == "-s": - print("Running Single Model") - # instantiate the model - model = SugarscapeG1mt() - # run the model - model.run_model() - # Get results - model_results = model.datacollector.get_model_vars_dataframe() - # Convert to make similar to batch_run_results - model_results["Step"] = model_results.index - agent_results = model.datacollector.get_agent_vars_dataframe() - agent_results = agent_results.reset_index() - # assess the results - assess_results(model_results, agent_results) - -elif args[0] == "-b": - print("Conducting a Batch Run") - # Batch Run - params = { - "width": 50, - "height": 50, - "vision_min": range(1, 4), - "metabolism_max": [2, 3, 4, 5], - } - - results_batch = mesa.batch_run( - SugarscapeG1mt, - parameters=params, - iterations=1, - number_processes=1, - data_collection_period=1, - display_progress=True, - ) - - assess_results(results_batch, None) - -else: - raise Exception("Option not found") + else: + raise Exception("Option not found") + + +if __name__ == "__main__": + main() From b5ad74082c17bb39677b59e67009ba71850c4589 Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Fri, 2 Aug 2024 12:34:17 +0200 Subject: [PATCH 07/82] Readme: Name mesa-2.x branch for example for Mesa 2.x --- README.md | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/README.md b/README.md index c7750a3e..be2978e1 100644 --- a/README.md +++ b/README.md @@ -2,6 +2,9 @@ This repository contains examples that work with Mesa and illustrate different features of Mesa. +- Mesa examples that work on the Mesa main development branch are available here on the [`main`](https://github.com/projectmesa/mesa-examples) branch. +- Mesa examples that work for Mesa 2.x releases are available here on the [`mesa-2.x`](https://github.com/projectmesa/mesa-examples/tree/mesa-2.x) branch. + To contribute to this repository, see [CONTRIBUTING.rst](https://github.com/projectmesa/mesa-examples/blob/main/CONTRIBUTING.rst). This repo also contains a package that readily lets you import and run some of the examples: @@ -9,6 +12,11 @@ This repo also contains a package that readily lets you import and run some of t $ # This will install the "mesa_models" package $ pip install -U -e git+https://github.com/projectmesa/mesa-examples#egg=mesa-models ``` +For Mesa 2.x examples, install: +```console +$ # This will install the "mesa_models" package +$ pip install -U -e git+https://github.com/projectmesa/mesa-examples@mesa-2.x#egg=mesa-models +``` ```python from mesa_models.boltzmann_wealth_model.model import BoltzmannWealthModel ``` From 72cfb9e845ada77f0e5275956178c99add2b6c48 Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Fri, 2 Aug 2024 12:50:37 +0200 Subject: [PATCH 08/82] CI: Don't test stable builds (until Mesa 3.0 is released) Stop testing stable mesa builds, which can be enabled again when Mesa 3.0 is released. This allows us to start updating Mesa example to break with 2.x conventions, towards development of Mesa 3.0. Mesa 2.x examples can be found on the mesa-2.x branch. --- .github/workflows/build_lint.yml | 24 ++++++++++++------------ 1 file changed, 12 insertions(+), 12 deletions(-) diff --git a/.github/workflows/build_lint.yml b/.github/workflows/build_lint.yml index 3d720f95..a17fc658 100644 --- a/.github/workflows/build_lint.yml +++ b/.github/workflows/build_lint.yml @@ -24,18 +24,18 @@ concurrency: cancel-in-progress: true jobs: - build-stable: - runs-on: ubuntu-latest - steps: - - uses: actions/checkout@v4 - - name: Set up Python - uses: actions/setup-python@v5 - with: - python-version: "3.12" - - name: Install dependencies - run: pip install mesa pytest - - name: Test with pytest - run: pytest test_examples.py + # build-stable: + # runs-on: ubuntu-latest + # steps: + # - uses: actions/checkout@v4 + # - name: Set up Python + # uses: actions/setup-python@v5 + # with: + # python-version: "3.12" + # - name: Install dependencies + # run: pip install mesa pytest + # - name: Test with pytest + # run: pytest test_examples.py build-pre: runs-on: ubuntu-latest From fe7f71e7ddd9de9022b7576b17186943e555f421 Mon Sep 17 00:00:00 2001 From: "pre-commit-ci[bot]" <66853113+pre-commit-ci[bot]@users.noreply.github.com> Date: Tue, 6 Aug 2024 08:45:12 +0200 Subject: [PATCH 09/82] [pre-commit.ci] pre-commit autoupdate (#149) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit updates: - [github.com/astral-sh/ruff-pre-commit: v0.5.0 → v0.5.6](https://github.com/astral-sh/ruff-pre-commit/compare/v0.5.0...v0.5.6) - [github.com/asottile/pyupgrade: v3.16.0 → v3.17.0](https://github.com/asottile/pyupgrade/compare/v3.16.0...v3.17.0) Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> --- .pre-commit-config.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 4b7d1a8a..f9067f01 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -4,7 +4,7 @@ ci: repos: - repo: https://github.com/astral-sh/ruff-pre-commit # Ruff version. - rev: v0.5.0 + rev: v0.5.6 hooks: # Run the linter. # TODO fix the lint issues for the Jupyter notebooks @@ -14,7 +14,7 @@ repos: - id: ruff-format types_or: [ python, pyi, jupyter ] - repo: https://github.com/asottile/pyupgrade - rev: v3.16.0 + rev: v3.17.0 hooks: - id: pyupgrade args: [--py38-plus] From 17c65ce233f3c2fa326e4ade8f734084d5ed8128 Mon Sep 17 00:00:00 2001 From: Wang Boyu Date: Sun, 21 Jul 2024 09:35:17 +0800 Subject: [PATCH 10/82] merge README files into top level README --- README.md | 131 ++++++++++++++++++++++++++++++++++++++++++++- examples/README.md | 101 ---------------------------------- gis/README.md | 17 ------ 3 files changed, 129 insertions(+), 120 deletions(-) delete mode 100644 examples/README.md delete mode 100644 gis/README.md diff --git a/README.md b/README.md index be2978e1..8d5303ca 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ -# mesa-examples +# Mesa Examples -This repository contains examples that work with Mesa and illustrate different features of Mesa. +This repository contains examples that work with Mesa and illustrate different features of Mesa. For more information on each model, see its own Readme and documentation. - Mesa examples that work on the Mesa main development branch are available here on the [`main`](https://github.com/projectmesa/mesa-examples) branch. - Mesa examples that work for Mesa 2.x releases are available here on the [`mesa-2.x`](https://github.com/projectmesa/mesa-examples/tree/mesa-2.x) branch. @@ -21,3 +21,130 @@ $ pip install -U -e git+https://github.com/projectmesa/mesa-examples@mesa-2.x#eg from mesa_models.boltzmann_wealth_model.model import BoltzmannWealthModel ``` You can see the available models at [setup.cfg](https://github.com/projectmesa/mesa-examples/blob/main/setup.cfg). + +Table of Contents +================= + +* [Grid Spacce Examples](#grid-space-examples) +* [Continuous Space Examples](#continuous-space-examples) +* [Network Examples](#network-examples) +* [Visualization Examples](#visualization-examples) +* [GIS Examples](#gis-examples) +* [Other Examples](#other-examples) + +## Grid Space Examples + +### [Bank Reserves Model](https://github.com/projectmesa/mesa-examples/blob/main/examples/bank_reserves) + +A highly abstracted, simplified model of an economy, with only one type of agent and a single bank representing all banks in an economy. + +### [Boltzmann Wealth Model](https://github.com/projectmesa/mesa-examples/tree/main/examples/boltzmann_wealth_model) + +Completed code to go along with the [tutorial](https://mesa.readthedocs.io/en/latest/tutorials/intro_tutorial.html) on making a simple model of how a highly-skewed wealth distribution can emerge from simple rules. + +### [Color Patches Model](https://github.com/projectmesa/mesa-examples/tree/main/examples/color_patches) + +A cellular automaton model where agents opinions are influenced by that of their neighbors. As the model evolves, color patches representing the prevailing opinion in a given area expand, contract, and sometimes disappear. + +### [Conway's Game Of "Life" Model](https://github.com/projectmesa/mesa-examples/tree/main/examples/conways_game_of_life) + +Implementation of [Conway's Game of Life](https://en.wikipedia.org/wiki/Conway%27s_Game_of_Life), a cellular automata where simple rules can give rise to complex patterns. + +### [Conway's Game Of "Life" Model on a Hexagonal Grid](https://github.com/projectmesa/mesa-examples/tree/main/examples/hex_snowflake) + +Conway's game of life on a hexagonal grid. + +### [Demographic Prisoner's Dilemma on a Grid](https://github.com/projectmesa/mesa-examples/tree/main/examples/pd_grid) + +Grid-based demographic prisoner's dilemma model, demonstrating how simple rules can lead to the emergence of widespread cooperation -- and how a model activation regime can change its outcome. + +### [Epstein Civil Violence Model](https://github.com/projectmesa/mesa-examples/tree/main/examples/epstein_civil_violence) + +Joshua Epstein's [model](http://www.uvm.edu/~pdodds/files/papers/others/2002/epstein2002a.pdf) of how a decentralized uprising can be suppressed or reach a critical mass of support. + +### [Forest Fire Model](https://github.com/projectmesa/mesa-examples/tree/main/examples/forest_fire) + +Simple cellular automata of a fire spreading through a forest of cells on a grid, based on the NetLogo [Fire](http://ccl.northwestern.edu/netlogo/models/Fire) model. + +### [Hotelling's Law Model](https://github.com/projectmesa/mesa-examples/tree/main/examples/hotelling_law) + +This project is an agent-based model implemented using the Mesa framework in Python. It simulates market dynamics based on Hotelling's Law, exploring the behavior of stores in a competitive market environment. Stores adjust their prices and locations if it's increases market share to maximize revenue, providing insights into the effects of competition and customer behavior on market outcomes. + +### [Schelling Segregation Model](https://github.com/projectmesa/mesa-examples/tree/main/examples/schelling) + +Mesa implementation of the classic [Schelling segregation](http://nifty.stanford.edu/2014/mccown-schelling-model-segregation/) model. + +### [Sugarscape Constant Growback Model](https://github.com/projectmesa/mesa-examples/tree/main/examples/sugarscape_cg) + +This is Epstein & Axtell's Sugarscape Constant Growback model, with a detailed description in the Chapter Two of *Growing Artificial Societies: Social Science from the Bottom Up*. It is based on the Netlogo +[Sugarscape 2 Constant Growback](http://ccl.northwestern.edu/netlogo/models/Sugarscape2ConstantGrowback) model. + +### [Sugarscape Constant Growback Model with Traders](https://github.com/projectmesa/mesa-examples/tree/main/examples/sugarscape_g1mt) + +This is Epstein & Axtell's Sugarscape model with Traders, a detailed description is in Chapter four of *Growing Artificial Societies: Social Science from the Bottom Up (1996)*. The model shows an emergent price equilibrium can happen via a decentralized dynamics. + +### [Wolf-Sheep Predation Model](https://github.com/projectmesa/mesa-examples/tree/main/examples/wolf_sheep) + +Implementation of an ecological model of predation and reproduction, based on the NetLogo [Wolf Sheep Predation](http://ccl.northwestern.edu/netlogo/models/WolfSheepPredation) model. + +## Continuous Space Examples + +### [Boids Flockers Model](https://github.com/projectmesa/mesa-examples/tree/main/examples/boid_flockers) + +[Boids](https://en.wikipedia.org/wiki/Boids)-style flocking model, demonstrating the use of agents moving through a continuous space following direction vectors. + +## Network Examples + +### [Boltzmann Wealth Model with Network](https://github.com/projectmesa/mesa-examples/tree/main/examples/boltzmann_wealth_model_network) + +This is the same [Boltzmann Wealth](https://github.com/projectmesa/mesa-examples/tree/main/examples/boltzmann_wealth_model) Model, but with a network grid implementation. + +### [Virus on a Network Model](https://github.com/projectmesa/mesa-examples/tree/main/examples/virus_on_network) + +This model is based on the NetLogo [Virus on a Network](https://ccl.northwestern.edu/netlogo/models/VirusonaNetwork) model. + +## Visualization Examples + +### [Boltzmann Wealth Model (Experimental)](https://github.com/projectmesa/mesa-examples/tree/main/examples/boltzmann_wealth_model_experimental) + +Boltzmann Wealth model with the experimental Juptyer notebook visualization feature. + +### [Charts Example](https://github.com/projectmesa/mesa-examples/tree/main/examples/charts) + +A modified version of the [Bank Reserves](https://github.com/projectmesa/mesa-examples/tree/main/examples/bank_reserves) example made to provide examples of Mesa's charting tools. + +### [Schelling Segregation Model (Experimental)](https://github.com/projectmesa/mesa-examples/tree/main/examples/schelling_experimental) + +Schelling segregation model with the experimental Juptyer notebook visualization feature. + +### [Shape Example](https://github.com/projectmesa/mesa-examples/tree/main/examples/shape_example) + +Example of grid display and direction showing agents in the form of arrow-head shape. + +## GIS Examples + +### Vector Data + +- [GeoSchelling Model (Polygons)](https://github.com/projectmesa/mesa-examples/tree/main/gis/geo_schelling) +- [GeoSchelling Model (Points & Polygons)](https://github.com/projectmesa/mesa-examples/tree/main/gis/geo_schelling_points) +- [GeoSIR Epidemics Model](https://github.com/projectmesa/mesa-examples/tree/main/gis/geo_sir) +- [Agents and Networks Model](https://github.com/projectmesa/mesa-examples/tree/main/gis/agents_and_networks) + +### Raster Data + +- [Rainfall Model](https://github.com/projectmesa/mesa-examples/tree/main/gis/rainfall) +- [Urban Growth Model](https://github.com/projectmesa/mesa-examples/tree/main/gis/urban_growth) + +### Raster and Vector Data Overlay + +- [Population Model](https://github.com/projectmesa/mesa-examples/tree/main/gis/population) + +## Other Examples + +### [El Farol Model](https://github.com/projectmesa/mesa-examples/tree/main/examples/el_farol) + +This folder contains an implementation of El Farol restaurant model. Agents (restaurant customers) decide whether to go to the restaurant or not based on their memory and reward from previous trials. Implications from the model have been used to explain how individual decision-making affects overall performance and fluctuation. + +### [Schelling Model with Caching and Replay](https://github.com/projectmesa/mesa-examples/tree/main/examples/caching_and_replay) + +This example applies caching on the Mesa [Schelling](https://github.com/projectmesa/mesa-examples/tree/main/examples/schelling) example. It enables a simulation run to be "cached" or in other words recorded. The recorded simulation run is persisted on the local file system and can be replayed at any later point. diff --git a/examples/README.md b/examples/README.md deleted file mode 100644 index ba9d2538..00000000 --- a/examples/README.md +++ /dev/null @@ -1,101 +0,0 @@ -# Example Code -This directory contains example models meant to test and demonstrate Mesa's features, and provide demonstrations for how to build and analyze agent-based models. For more information on each model, see its own Readme and documentation. - -## Grid Space Examples - -### [Bank Reserves Model](https://github.com/projectmesa/mesa-examples/blob/main/examples/bank_reserves) - -A highly abstracted, simplified model of an economy, with only one type of agent and a single bank representing all banks in an economy. - -### [Boltzmann Wealth Model](https://github.com/projectmesa/mesa-examples/tree/main/examples/boltzmann_wealth_model) - -Completed code to go along with the [tutorial](https://mesa.readthedocs.io/en/latest/tutorials/intro_tutorial.html) on making a simple model of how a highly-skewed wealth distribution can emerge from simple rules. - -### [Color Patches Model](https://github.com/projectmesa/mesa-examples/tree/main/examples/color_patches) - -A cellular automaton model where agents opinions are influenced by that of their neighbors. As the model evolves, color patches representing the prevailing opinion in a given area expand, contract, and sometimes disappear. - -### [Conway's Game Of "Life" Model](https://github.com/projectmesa/mesa-examples/tree/main/examples/conways_game_of_life) - -Implementation of [Conway's Game of Life](https://en.wikipedia.org/wiki/Conway%27s_Game_of_Life), a cellular automata where simple rules can give rise to complex patterns. - -### [Conway's Game Of "Life" Model on a Hexagonal Grid](https://github.com/projectmesa/mesa-examples/tree/main/examples/hex_snowflake) - -Conway's game of life on a hexagonal grid. - -### [Demographic Prisoner's Dilemma on a Grid](https://github.com/projectmesa/mesa-examples/tree/main/examples/pd_grid) - -Grid-based demographic prisoner's dilemma model, demonstrating how simple rules can lead to the emergence of widespread cooperation -- and how a model activation regime can change its outcome. - -### [Epstein Civil Violence Model](https://github.com/projectmesa/mesa-examples/tree/main/examples/epstein_civil_violence) - -Joshua Epstein's [model](http://www.uvm.edu/~pdodds/files/papers/others/2002/epstein2002a.pdf) of how a decentralized uprising can be suppressed or reach a critical mass of support. - -### [Forest Fire Model](https://github.com/projectmesa/mesa-examples/tree/main/examples/forest_fire) - -Simple cellular automata of a fire spreading through a forest of cells on a grid, based on the NetLogo [Fire](http://ccl.northwestern.edu/netlogo/models/Fire) model. - -### [Hotelling's Law Model](https://github.com/projectmesa/mesa-examples/tree/main/examples/hotelling_law) - -This project is an agent-based model implemented using the Mesa framework in Python. It simulates market dynamics based on Hotelling's Law, exploring the behavior of stores in a competitive market environment. Stores adjust their prices and locations if it's increases market share to maximize revenue, providing insights into the effects of competition and customer behavior on market outcomes. - -### [Schelling Segregation Model](https://github.com/projectmesa/mesa-examples/tree/main/examples/schelling) - -Mesa implementation of the classic [Schelling segregation](http://nifty.stanford.edu/2014/mccown-schelling-model-segregation/) model. - -### [Sugarscape Constant Growback Model](https://github.com/projectmesa/mesa-examples/tree/main/examples/sugarscape_cg) - -This is Epstein & Axtell's Sugarscape Constant Growback model, with a detailed description in the Chapter Two of *Growing Artificial Societies: Social Science from the Bottom Up*. It is based on the Netlogo -[Sugarscape 2 Constant Growback](http://ccl.northwestern.edu/netlogo/models/Sugarscape2ConstantGrowback) model. - -### [Sugarscape Constant Growback Model with Traders](https://github.com/projectmesa/mesa-examples/tree/main/examples/sugarscape_g1mt) - -This is Epstein & Axtell's Sugarscape model with Traders, a detailed description is in Chapter four of *Growing Artificial Societies: Social Science from the Bottom Up (1996)*. The model shows an emergent price equilibrium can happen via a decentralized dynamics. - -### [Wolf-Sheep Predation Model](https://github.com/projectmesa/mesa-examples/tree/main/examples/wolf_sheep) - -Implementation of an ecological model of predation and reproduction, based on the NetLogo [Wolf Sheep Predation](http://ccl.northwestern.edu/netlogo/models/WolfSheepPredation) model. - -## Continuous Space Examples - -### [Boids Flockers Model](https://github.com/projectmesa/mesa-examples/tree/main/examples/boid_flockers) - -[Boids](https://en.wikipedia.org/wiki/Boids)-style flocking model, demonstrating the use of agents moving through a continuous space following direction vectors. - -## Network Examples - -### [Boltzmann Wealth Model with Network](https://github.com/projectmesa/mesa-examples/tree/main/examples/boltzmann_wealth_model_network) - -This is the same [Boltzmann Wealth](https://github.com/projectmesa/mesa-examples/tree/main/examples/boltzmann_wealth_model) Model, but with a network grid implementation. - -### [Virus on a Network Model](https://github.com/projectmesa/mesa-examples/tree/main/examples/virus_on_network) - -This model is based on the NetLogo [Virus on a Network](https://ccl.northwestern.edu/netlogo/models/VirusonaNetwork) model. - -## Visualization Examples - -### [Boltzmann Wealth Model (Experimental)](https://github.com/projectmesa/mesa-examples/tree/main/examples/boltzmann_wealth_model_experimental) - -Boltzmann Wealth model with the experimental Juptyer notebook visualization feature. - -### [Charts Example](https://github.com/projectmesa/mesa-examples/tree/main/examples/charts) - -A modified version of the [Bank Reserves](https://github.com/projectmesa/mesa-examples/tree/main/examples/bank_reserves) example made to provide examples of Mesa's charting tools. - -### [Schelling Segregation Model (Experimental)](https://github.com/projectmesa/mesa-examples/tree/main/examples/schelling_experimental) - -Schelling segregation model with the experimental Juptyer notebook visualization feature. - -### [Shape Example](https://github.com/projectmesa/mesa-examples/tree/main/examples/shape_example) - -Example of grid display and direction showing agents in the form of arrow-head shape. - -## Other Examples - -### [El Farol Model](https://github.com/projectmesa/mesa-examples/tree/main/examples/el_farol) - -This folder contains an implementation of El Farol restaurant model. Agents (restaurant customers) decide whether to go to the restaurant or not based on their memory and reward from previous trials. Implications from the model have been used to explain how individual decision-making affects overall performance and fluctuation. - -### [Schelling Model with Caching and Replay](https://github.com/projectmesa/mesa-examples/tree/main/examples/caching_and_replay) - -This example applies caching on the Mesa [Schelling](https://github.com/projectmesa/mesa-examples/tree/main/examples/schelling) example. It enables a simulation run to be "cached" or in other words recorded. The recorded simulation run is persisted on the local file system and can be replayed at any later point. diff --git a/gis/README.md b/gis/README.md deleted file mode 100644 index 0f6fe9f1..00000000 --- a/gis/README.md +++ /dev/null @@ -1,17 +0,0 @@ -# GIS Examples - -## Vector Data - -- [GeoSchelling Model (Polygons)](https://github.com/projectmesa/mesa-examples/tree/main/gis/geo_schelling) -- [GeoSchelling Model (Points & Polygons)](https://github.com/projectmesa/mesa-examples/tree/main/gis/geo_schelling_points) -- [GeoSIR Epidemics Model](https://github.com/projectmesa/mesa-examples/tree/main/gis/geo_sir) -- [Agents and Networks Model](https://github.com/projectmesa/mesa-examples/tree/main/gis/agents_and_networks) - -## Raster Data - -- [Rainfall Model](https://github.com/projectmesa/mesa-examples/tree/main/gis/rainfall) -- [Urban Growth Model](https://github.com/projectmesa/mesa-examples/tree/main/gis/urban_growth) - -## Raster and Vector Data Overlay - -- [Population Model](https://github.com/projectmesa/mesa-examples/tree/main/gis/population) From 68b6d31632fe5a078a5fd7974a9040e75de99863 Mon Sep 17 00:00:00 2001 From: rht Date: Sat, 10 Aug 2024 07:34:02 -0400 Subject: [PATCH 11/82] Address duplicate position warning (#122) --- examples/boid_flockers/boid_flockers/model.py | 4 ---- .../boltzmann_wealth_model_network/server.py | 8 ++++--- .../color_patches/color_patches/server.py | 1 + examples/forest_fire/forest_fire/agent.py | 7 +++---- examples/forest_fire/forest_fire/model.py | 2 +- examples/pd_grid/pd_grid/agent.py | 7 +++---- examples/pd_grid/pd_grid/model.py | 2 +- examples/schelling_experimental/model.py | 8 +++---- .../sugarscape_cg/sugarscape_cg/agents.py | 7 ++----- examples/sugarscape_cg/sugarscape_cg/model.py | 4 ++-- .../sugarscape_g1mt/sugarscape_g1mt/model.py | 3 +-- .../sugarscape_g1mt/resource_agents.py | 3 +-- .../sugarscape_g1mt/trader_agents.py | 2 -- examples/wolf_sheep/wolf_sheep/agents.py | 21 +++++++------------ examples/wolf_sheep/wolf_sheep/model.py | 6 +++--- examples/wolf_sheep/wolf_sheep/random_walk.py | 3 +-- 16 files changed, 35 insertions(+), 53 deletions(-) diff --git a/examples/boid_flockers/boid_flockers/model.py b/examples/boid_flockers/boid_flockers/model.py index 6ebbf8aa..8ddfc11a 100644 --- a/examples/boid_flockers/boid_flockers/model.py +++ b/examples/boid_flockers/boid_flockers/model.py @@ -28,7 +28,6 @@ def __init__( self, unique_id, model, - pos, speed, direction, vision, @@ -42,7 +41,6 @@ def __init__( Args: unique_id: Unique agent identifier. - pos: Starting position speed: Distance to move per step. direction: numpy vector for the Boid's direction of movement. vision: Radius to look around for nearby Boids. @@ -52,7 +50,6 @@ def __init__( match: the relative importance of matching neighbors' headings """ super().__init__(unique_id, model) - self.pos = np.array(pos) self.speed = speed self.direction = direction self.vision = vision @@ -140,7 +137,6 @@ def make_agents(self): boid = Boid( unique_id=i, model=self, - pos=pos, speed=self.speed, direction=direction, vision=self.vision, diff --git a/examples/boltzmann_wealth_model_network/boltzmann_wealth_model_network/server.py b/examples/boltzmann_wealth_model_network/boltzmann_wealth_model_network/server.py index fce6b4cd..50a019ce 100644 --- a/examples/boltzmann_wealth_model_network/boltzmann_wealth_model_network/server.py +++ b/examples/boltzmann_wealth_model_network/boltzmann_wealth_model_network/server.py @@ -12,9 +12,11 @@ def network_portrayal(G): "id": node_id, "size": 3 if agents else 1, "color": "#CC0000" if not agents or agents[0].wealth == 0 else "#007959", - "label": None - if not agents - else f"Agent:{agents[0].unique_id} Wealth:{agents[0].wealth}", + "label": ( + None + if not agents + else f"Agent:{agents[0].unique_id} Wealth:{agents[0].wealth}" + ), } for (node_id, agents) in G.nodes.data("agent") ] diff --git a/examples/color_patches/color_patches/server.py b/examples/color_patches/color_patches/server.py index aa52332e..34d0d744 100644 --- a/examples/color_patches/color_patches/server.py +++ b/examples/color_patches/color_patches/server.py @@ -2,6 +2,7 @@ handles the definition of the canvas parameters and the drawing of the model representation on the canvas """ + # import webbrowser import mesa diff --git a/examples/forest_fire/forest_fire/agent.py b/examples/forest_fire/forest_fire/agent.py index 34ff2aa2..4837119c 100644 --- a/examples/forest_fire/forest_fire/agent.py +++ b/examples/forest_fire/forest_fire/agent.py @@ -14,15 +14,14 @@ class TreeCell(mesa.Agent): practice to give one to each agent anyway. """ - def __init__(self, pos, model): + def __init__(self, unique_id, model): """ Create a new tree. Args: - pos: The tree's coordinates on the grid. + unique_id: Unique identifier for the agent. model: standard model reference for agent. """ - super().__init__(pos, model) - self.pos = pos + super().__init__(unique_id, model) self.condition = "Fine" def step(self): diff --git a/examples/forest_fire/forest_fire/model.py b/examples/forest_fire/forest_fire/model.py index 843176b7..4b2d5b41 100644 --- a/examples/forest_fire/forest_fire/model.py +++ b/examples/forest_fire/forest_fire/model.py @@ -33,7 +33,7 @@ def __init__(self, width=100, height=100, density=0.65): for contents, (x, y) in self.grid.coord_iter(): if self.random.random() < density: # Create a tree - new_tree = TreeCell((x, y), self) + new_tree = TreeCell(self.next_id(), self) # Set all trees in the first column on fire. if x == 0: new_tree.condition = "On Fire" diff --git a/examples/pd_grid/pd_grid/agent.py b/examples/pd_grid/pd_grid/agent.py index e289169f..d658ddc8 100644 --- a/examples/pd_grid/pd_grid/agent.py +++ b/examples/pd_grid/pd_grid/agent.py @@ -4,18 +4,17 @@ class PDAgent(mesa.Agent): """Agent member of the iterated, spatial prisoner's dilemma model.""" - def __init__(self, pos, model, starting_move=None): + def __init__(self, unique_id, model, starting_move=None): """ Create a new Prisoner's Dilemma agent. Args: - pos: (x, y) tuple of the agent's position. + unique_id: Unique identifier for the agent. model: model instance starting_move: If provided, determines the agent's initial state: C(ooperating) or D(efecting). Otherwise, random. """ - super().__init__(pos, model) - self.pos = pos + super().__init__(unique_id, model) self.score = 0 if starting_move: self.move = starting_move diff --git a/examples/pd_grid/pd_grid/model.py b/examples/pd_grid/pd_grid/model.py index b970c0f4..448e4745 100644 --- a/examples/pd_grid/pd_grid/model.py +++ b/examples/pd_grid/pd_grid/model.py @@ -37,7 +37,7 @@ def __init__( # Create agents for x in range(width): for y in range(height): - agent = PDAgent((x, y), self) + agent = PDAgent(self.next_id(), self) self.grid.place_agent(agent, (x, y)) self.schedule.add(agent) diff --git a/examples/schelling_experimental/model.py b/examples/schelling_experimental/model.py index c91b034a..a5e05de5 100644 --- a/examples/schelling_experimental/model.py +++ b/examples/schelling_experimental/model.py @@ -6,17 +6,15 @@ class SchellingAgent(mesa.Agent): Schelling segregation agent """ - def __init__(self, pos, model, agent_type): + def __init__(self, unique_id, model, agent_type): """ Create a new Schelling agent. Args: unique_id: Unique identifier for the agent. - pos: Agent initial location. agent_type: Indicator for the agent's type (minority=1, majority=0) """ - super().__init__(pos, model) - self.pos = pos + super().__init__(unique_id, model) self.type = agent_type def step(self): @@ -57,7 +55,7 @@ def __init__(self, width=20, height=20, density=0.8, minority_pc=0.2, homophily= for _, pos in self.grid.coord_iter(): if self.random.random() < density: agent_type = 1 if self.random.random() < minority_pc else 0 - agent = SchellingAgent(pos, self, agent_type) + agent = SchellingAgent(self.next_id(), self, agent_type) self.grid.place_agent(agent, pos) self.datacollector.collect(self) diff --git a/examples/sugarscape_cg/sugarscape_cg/agents.py b/examples/sugarscape_cg/sugarscape_cg/agents.py index 6e245eaa..de5f65c7 100644 --- a/examples/sugarscape_cg/sugarscape_cg/agents.py +++ b/examples/sugarscape_cg/sugarscape_cg/agents.py @@ -17,11 +17,8 @@ def get_distance(pos_1, pos_2): class SsAgent(mesa.Agent): - def __init__( - self, unique_id, pos, model, moore=False, sugar=0, metabolism=0, vision=0 - ): + def __init__(self, unique_id, model, moore=False, sugar=0, metabolism=0, vision=0): super().__init__(unique_id, model) - self.pos = pos self.moore = moore self.sugar = sugar self.metabolism = metabolism @@ -74,7 +71,7 @@ def step(self): class Sugar(mesa.Agent): - def __init__(self, unique_id, pos, model, max_sugar): + def __init__(self, unique_id, model, max_sugar): super().__init__(unique_id, model) self.amount = max_sugar self.max_sugar = max_sugar diff --git a/examples/sugarscape_cg/sugarscape_cg/model.py b/examples/sugarscape_cg/sugarscape_cg/model.py index e1857cb0..3aaa250d 100644 --- a/examples/sugarscape_cg/sugarscape_cg/model.py +++ b/examples/sugarscape_cg/sugarscape_cg/model.py @@ -50,7 +50,7 @@ def __init__(self, width=50, height=50, initial_population=100): agent_id = 0 for _, (x, y) in self.grid.coord_iter(): max_sugar = sugar_distribution[x, y] - sugar = Sugar(agent_id, (x, y), self, max_sugar) + sugar = Sugar(agent_id, self, max_sugar) agent_id += 1 self.grid.place_agent(sugar, (x, y)) self.schedule.add(sugar) @@ -62,7 +62,7 @@ def __init__(self, width=50, height=50, initial_population=100): sugar = self.random.randrange(6, 25) metabolism = self.random.randrange(2, 4) vision = self.random.randrange(1, 6) - ssa = SsAgent(agent_id, (x, y), self, False, sugar, metabolism, vision) + ssa = SsAgent(agent_id, self, False, sugar, metabolism, vision) agent_id += 1 self.grid.place_agent(ssa, (x, y)) self.schedule.add(ssa) diff --git a/examples/sugarscape_g1mt/sugarscape_g1mt/model.py b/examples/sugarscape_g1mt/sugarscape_g1mt/model.py index f88f1c2c..3500b0c2 100644 --- a/examples/sugarscape_g1mt/sugarscape_g1mt/model.py +++ b/examples/sugarscape_g1mt/sugarscape_g1mt/model.py @@ -97,7 +97,7 @@ def __init__( for _, (x, y) in self.grid.coord_iter(): max_sugar = sugar_distribution[x, y] max_spice = spice_distribution[x, y] - resource = Resource(agent_id, self, (x, y), max_sugar, max_spice) + resource = Resource(agent_id, self, max_sugar, max_spice) self.schedule.add(resource) self.grid.place_agent(resource, (x, y)) agent_id += 1 @@ -123,7 +123,6 @@ def __init__( trader = Trader( agent_id, self, - (x, y), moore=False, sugar=sugar, spice=spice, diff --git a/examples/sugarscape_g1mt/sugarscape_g1mt/resource_agents.py b/examples/sugarscape_g1mt/sugarscape_g1mt/resource_agents.py index 18d11cd6..2be75de7 100644 --- a/examples/sugarscape_g1mt/sugarscape_g1mt/resource_agents.py +++ b/examples/sugarscape_g1mt/sugarscape_g1mt/resource_agents.py @@ -9,9 +9,8 @@ class Resource(mesa.Agent): - grows 1 amount of spice at each turn """ - def __init__(self, unique_id, model, pos, max_sugar, max_spice): + def __init__(self, unique_id, model, max_sugar, max_spice): super().__init__(unique_id, model) - self.pos = pos self.sugar_amount = max_sugar self.max_sugar = max_sugar self.spice_amount = max_spice diff --git a/examples/sugarscape_g1mt/sugarscape_g1mt/trader_agents.py b/examples/sugarscape_g1mt/sugarscape_g1mt/trader_agents.py index 96bc8c5b..4ddb4d38 100644 --- a/examples/sugarscape_g1mt/sugarscape_g1mt/trader_agents.py +++ b/examples/sugarscape_g1mt/sugarscape_g1mt/trader_agents.py @@ -31,7 +31,6 @@ def __init__( self, unique_id, model, - pos, moore=False, sugar=0, spice=0, @@ -40,7 +39,6 @@ def __init__( vision=0, ): super().__init__(unique_id, model) - self.pos = pos self.moore = moore self.sugar = sugar self.spice = spice diff --git a/examples/wolf_sheep/wolf_sheep/agents.py b/examples/wolf_sheep/wolf_sheep/agents.py index 460c4abb..6d73e113 100644 --- a/examples/wolf_sheep/wolf_sheep/agents.py +++ b/examples/wolf_sheep/wolf_sheep/agents.py @@ -12,8 +12,8 @@ class Sheep(RandomWalker): energy = None - def __init__(self, unique_id, pos, model, moore, energy=None): - super().__init__(unique_id, pos, model, moore=moore) + def __init__(self, unique_id, model, moore, energy=None): + super().__init__(unique_id, model, moore=moore) self.energy = energy def step(self): @@ -44,9 +44,7 @@ def step(self): # Create a new sheep: if self.model.grass: self.energy /= 2 - lamb = Sheep( - self.model.next_id(), self.pos, self.model, self.moore, self.energy - ) + lamb = Sheep(self.model.next_id(), self.model, self.moore, self.energy) self.model.grid.place_agent(lamb, self.pos) self.model.schedule.add(lamb) @@ -58,8 +56,8 @@ class Wolf(RandomWalker): energy = None - def __init__(self, unique_id, pos, model, moore, energy=None): - super().__init__(unique_id, pos, model, moore=moore) + def __init__(self, unique_id, model, moore, energy=None): + super().__init__(unique_id, model, moore=moore) self.energy = energy def step(self): @@ -86,10 +84,8 @@ def step(self): if self.random.random() < self.model.wolf_reproduce: # Create a new wolf cub self.energy /= 2 - cub = Wolf( - self.model.next_id(), self.pos, self.model, self.moore, self.energy - ) - self.model.grid.place_agent(cub, cub.pos) + cub = Wolf(self.model.next_id(), self.model, self.moore, self.energy) + self.model.grid.place_agent(cub, self.pos) self.model.schedule.add(cub) @@ -98,7 +94,7 @@ class GrassPatch(mesa.Agent): A patch of grass that grows at a fixed rate and it is eaten by sheep """ - def __init__(self, unique_id, pos, model, fully_grown, countdown): + def __init__(self, unique_id, model, fully_grown, countdown): """ Creates a new patch of grass @@ -109,7 +105,6 @@ def __init__(self, unique_id, pos, model, fully_grown, countdown): super().__init__(unique_id, model) self.fully_grown = fully_grown self.countdown = countdown - self.pos = pos def step(self): if not self.fully_grown: diff --git a/examples/wolf_sheep/wolf_sheep/model.py b/examples/wolf_sheep/wolf_sheep/model.py index 2626f958..48128d00 100644 --- a/examples/wolf_sheep/wolf_sheep/model.py +++ b/examples/wolf_sheep/wolf_sheep/model.py @@ -98,7 +98,7 @@ def __init__( x = self.random.randrange(self.width) y = self.random.randrange(self.height) energy = self.random.randrange(2 * self.sheep_gain_from_food) - sheep = Sheep(self.next_id(), (x, y), self, True, energy) + sheep = Sheep(self.next_id(), self, True, energy) self.grid.place_agent(sheep, (x, y)) self.schedule.add(sheep) @@ -107,7 +107,7 @@ def __init__( x = self.random.randrange(self.width) y = self.random.randrange(self.height) energy = self.random.randrange(2 * self.wolf_gain_from_food) - wolf = Wolf(self.next_id(), (x, y), self, True, energy) + wolf = Wolf(self.next_id(), self, True, energy) self.grid.place_agent(wolf, (x, y)) self.schedule.add(wolf) @@ -121,7 +121,7 @@ def __init__( else: countdown = self.random.randrange(self.grass_regrowth_time) - patch = GrassPatch(self.next_id(), (x, y), self, fully_grown, countdown) + patch = GrassPatch(self.next_id(), self, fully_grown, countdown) self.grid.place_agent(patch, (x, y)) self.schedule.add(patch) diff --git a/examples/wolf_sheep/wolf_sheep/random_walk.py b/examples/wolf_sheep/wolf_sheep/random_walk.py index 49219fa7..920ae08c 100644 --- a/examples/wolf_sheep/wolf_sheep/random_walk.py +++ b/examples/wolf_sheep/wolf_sheep/random_walk.py @@ -18,7 +18,7 @@ class RandomWalker(mesa.Agent): y = None moore = True - def __init__(self, unique_id, pos, model, moore=True): + def __init__(self, unique_id, model, moore=True): """ grid: The MultiGrid object in which the agent lives. x: The agent's current x coordinate @@ -27,7 +27,6 @@ def __init__(self, unique_id, pos, model, moore=True): Otherwise, only up, down, left, right. """ super().__init__(unique_id, model) - self.pos = pos self.moore = moore def random_move(self): From 352ac3202fac78690760ca43bd8ff590d03c74ad Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Sat, 10 Aug 2024 18:59:58 +0200 Subject: [PATCH 12/82] CI: Increase pytest verbosity This allows seeing which tests are collected, passed, etc. See https://docs.pytest.org/en/7.1.x/how-to/output.html#verbosity --- .github/workflows/build_lint.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/build_lint.yml b/.github/workflows/build_lint.yml index a17fc658..527ce52e 100644 --- a/.github/workflows/build_lint.yml +++ b/.github/workflows/build_lint.yml @@ -65,4 +65,4 @@ jobs: pip install pytest pip install -U git+https://github.com/projectmesa/mesa@main#egg=mesa - name: Test with pytest - run: pytest test_examples.py + run: pytest -v test_examples.py From ebb7976eceab9a7a39ce262effa95160c65c231b Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Sat, 10 Aug 2024 19:03:30 +0200 Subject: [PATCH 13/82] CI: Let pytest generate summary report See https://docs.pytest.org/en/7.1.x/how-to/output.html#producing-a-detailed-summary-report --- .github/workflows/build_lint.yml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.github/workflows/build_lint.yml b/.github/workflows/build_lint.yml index 527ce52e..112de27e 100644 --- a/.github/workflows/build_lint.yml +++ b/.github/workflows/build_lint.yml @@ -50,7 +50,7 @@ jobs: pip install mesa --pre pip install pytest - name: Test with pytest - run: pytest test_examples.py + run: pytest -rA test_examples.py build-main: runs-on: ubuntu-latest @@ -65,4 +65,4 @@ jobs: pip install pytest pip install -U git+https://github.com/projectmesa/mesa@main#egg=mesa - name: Test with pytest - run: pytest -v test_examples.py + run: pytest -rA test_examples.py From 78b8a363f824173fc4dda40618ad5dc6fde8824b Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Sun, 11 Aug 2024 12:22:01 +0200 Subject: [PATCH 14/82] Use SolaraViz instead of JupyterViz in examples This updates all the examples to use the renamed and stabilized SolaraViz. --- examples/boid_flockers/app.py | 4 ++-- examples/boltzmann_wealth_model_experimental/app.py | 4 ++-- examples/hotelling_law/app.py | 6 +++--- examples/schelling_experimental/app.py | 4 ++-- examples/sugarscape_g1mt/app.py | 4 ++-- examples/virus_on_network/app.py | 4 ++-- 6 files changed, 13 insertions(+), 13 deletions(-) diff --git a/examples/boid_flockers/app.py b/examples/boid_flockers/app.py index 5de317fe..c8dd76bc 100644 --- a/examples/boid_flockers/app.py +++ b/examples/boid_flockers/app.py @@ -1,5 +1,5 @@ from boid_flockers.model import BoidFlockers -from mesa.experimental import JupyterViz +from mesa.visualization import SolaraViz def boid_draw(agent): @@ -15,7 +15,7 @@ def boid_draw(agent): "separation": 2, } -page = JupyterViz( +page = SolaraViz( model_class=BoidFlockers, model_params=model_params, measures=[], diff --git a/examples/boltzmann_wealth_model_experimental/app.py b/examples/boltzmann_wealth_model_experimental/app.py index dc1213bb..b7ccc594 100644 --- a/examples/boltzmann_wealth_model_experimental/app.py +++ b/examples/boltzmann_wealth_model_experimental/app.py @@ -1,4 +1,4 @@ -from mesa.experimental import JupyterViz +from mesa.visualization import SolaraViz from model import BoltzmannWealthModel @@ -24,7 +24,7 @@ def agent_portrayal(agent): "height": 10, } -page = JupyterViz( +page = SolaraViz( BoltzmannWealthModel, model_params, measures=["Gini"], diff --git a/examples/hotelling_law/app.py b/examples/hotelling_law/app.py index 6ab325e5..60c3dbca 100644 --- a/examples/hotelling_law/app.py +++ b/examples/hotelling_law/app.py @@ -5,7 +5,7 @@ from hotelling_law.agents import ConsumerAgent, StoreAgent from hotelling_law.model import HotellingModel from matplotlib.figure import Figure -from mesa.experimental import JupyterViz +from mesa.visualization import SolaraViz model_params = { "N_stores": { @@ -340,8 +340,8 @@ def make_revenue_line_chart(model): return solara.FigureMatplotlib(fig) -# Instantiate the JupyterViz component with your model -page = JupyterViz( +# Instantiate the SolaraViz component with your model +page = SolaraViz( model_class=HotellingModel, model_params=model_params, measures=[ diff --git a/examples/schelling_experimental/app.py b/examples/schelling_experimental/app.py index 634e0f99..9092e7f3 100644 --- a/examples/schelling_experimental/app.py +++ b/examples/schelling_experimental/app.py @@ -1,4 +1,4 @@ -from mesa.visualization.jupyter_viz import JupyterViz, Slider, make_text +from mesa.visualization.solara_viz.py import Slider, SolaraViz, make_text from model import Schelling @@ -21,7 +21,7 @@ def agent_portrayal(agent): "height": 20, } -page = JupyterViz( +page = SolaraViz( Schelling, model_params, measures=["happy", make_text(get_happy_agents)], diff --git a/examples/sugarscape_g1mt/app.py b/examples/sugarscape_g1mt/app.py index 2196995d..9f01d8aa 100644 --- a/examples/sugarscape_g1mt/app.py +++ b/examples/sugarscape_g1mt/app.py @@ -1,7 +1,7 @@ import numpy as np import solara from matplotlib.figure import Figure -from mesa.experimental import JupyterViz +from mesa.visualization import SolaraViz from sugarscape_g1mt.model import SugarscapeG1mt from sugarscape_g1mt.trader_agents import Trader @@ -50,7 +50,7 @@ def portray(g): "height": 50, } -page = JupyterViz( +page = SolaraViz( SugarscapeG1mt, model_params, measures=["Trader", "Price"], diff --git a/examples/virus_on_network/app.py b/examples/virus_on_network/app.py index a9661a4d..47ab294f 100644 --- a/examples/virus_on_network/app.py +++ b/examples/virus_on_network/app.py @@ -3,7 +3,7 @@ import solara from matplotlib.figure import Figure from matplotlib.ticker import MaxNLocator -from mesa.experimental import JupyterViz, make_text +from mesa.visualization import SolaraViz, make_text from virus_on_network.model import State, VirusOnNetwork, number_infected @@ -119,7 +119,7 @@ def make_plot(model): }, } -page = JupyterViz( +page = SolaraViz( VirusOnNetwork, model_params, measures=[ From cc65481fdfd21158f62cd1a468ac43c4562bda46 Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Sat, 10 Aug 2024 20:15:29 +0200 Subject: [PATCH 15/82] sugerscape_g1mt: Refactor using AgentSet functionality Resolves 4 warnings by using the AgentSet select(), shuffle() and do() functionality. Also removes the now unused scheduler. --- .../sugarscape_g1mt/sugarscape_g1mt/model.py | 32 ++++--------------- .../sugarscape_g1mt/trader_agents.py | 2 +- 2 files changed, 7 insertions(+), 27 deletions(-) diff --git a/examples/sugarscape_g1mt/sugarscape_g1mt/model.py b/examples/sugarscape_g1mt/sugarscape_g1mt/model.py index 3500b0c2..19e43644 100644 --- a/examples/sugarscape_g1mt/sugarscape_g1mt/model.py +++ b/examples/sugarscape_g1mt/sugarscape_g1mt/model.py @@ -68,22 +68,17 @@ def __init__( self.enable_trade = enable_trade self.running = True - # initiate activation schedule - self.schedule = mesa.time.RandomActivationByType(self) # initiate mesa grid class self.grid = mesa.space.MultiGrid(self.width, self.height, torus=False) # initiate datacollector self.datacollector = mesa.DataCollector( model_reporters={ - "Trader": lambda m: m.schedule.get_type_count(Trader), + "Trader": lambda m: len(m.agents.select(agent_type=Trader)), "Trade Volume": lambda m: sum( - len(a.trade_partners) - for a in m.schedule.agents_by_type[Trader].values() + len(a.trade_partners) for a in self.agents.select(agent_type=Trader) ), "Price": lambda m: geometric_mean( - flatten( - [a.prices for a in m.schedule.agents_by_type[Trader].values()] - ) + flatten([a.prices for a in self.agents.select(agent_type=Trader)]) ), }, agent_reporters={"Trade Network": lambda a: get_trade(a)}, @@ -98,7 +93,6 @@ def __init__( max_sugar = sugar_distribution[x, y] max_spice = spice_distribution[x, y] resource = Resource(agent_id, self, max_sugar, max_spice) - self.schedule.add(resource) self.grid.place_agent(resource, (x, y)) agent_id += 1 @@ -132,34 +126,20 @@ def __init__( ) # place agent self.grid.place_agent(trader, (x, y)) - self.schedule.add(trader) agent_id += 1 - def randomize_traders(self): - """ - helper function for self.step() - - puts traders in randomized list for step function - """ - - traders_shuffle = list(self.schedule.agents_by_type[Trader].values()) - self.random.shuffle(traders_shuffle) - - return traders_shuffle - def step(self): """ Unique step function that does staged activation of sugar and spice and then randomly activates traders """ # step Resource agents - for resource in self.schedule.agents_by_type[Resource].values(): - resource.step() + self.agents.select(agent_type=Resource).do("step") # step trader agents # to account for agent death and removal we need a seperate data strcuture to # iterate - trader_shuffle = self.randomize_traders() + trader_shuffle = self.agents.select(agent_type=Trader).shuffle() for agent in trader_shuffle: agent.prices = [] @@ -174,7 +154,7 @@ def step(self): self.datacollector.collect(self) return - trader_shuffle = self.randomize_traders() + trader_shuffle = self.agents.select(agent_type=Trader).shuffle() for agent in trader_shuffle: agent.trade_with_neighbors() diff --git a/examples/sugarscape_g1mt/sugarscape_g1mt/trader_agents.py b/examples/sugarscape_g1mt/sugarscape_g1mt/trader_agents.py index 4ddb4d38..18c8c626 100644 --- a/examples/sugarscape_g1mt/sugarscape_g1mt/trader_agents.py +++ b/examples/sugarscape_g1mt/sugarscape_g1mt/trader_agents.py @@ -304,7 +304,7 @@ def maybe_die(self): if self.is_starved(): self.model.grid.remove_agent(self) - self.model.schedule.remove(self) + self.remove() def trade_with_neighbors(self): """ From 923a83e91c365ba75566cce2143e0a298a9851da Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Sat, 10 Aug 2024 21:03:38 +0200 Subject: [PATCH 16/82] charts: Don't pass pos Don't pass the position parameter, but just use place_agent. Resolves the duplicate position warning. --- examples/charts/charts/agents.py | 4 ++-- examples/charts/charts/model.py | 2 +- examples/charts/charts/random_walk.py | 3 +-- 3 files changed, 4 insertions(+), 5 deletions(-) diff --git a/examples/charts/charts/agents.py b/examples/charts/charts/agents.py index 2863df99..5d81a65c 100644 --- a/examples/charts/charts/agents.py +++ b/examples/charts/charts/agents.py @@ -42,9 +42,9 @@ def bank_balance(self): # subclass of RandomWalker, which is subclass to Mesa Agent class Person(RandomWalker): - def __init__(self, unique_id, pos, model, moore, bank, rich_threshold): + def __init__(self, unique_id, model, moore, bank, rich_threshold): # init parent class with required parameters - super().__init__(unique_id, pos, model, moore=moore) + super().__init__(unique_id, model, moore=moore) # the amount each person has in savings self.savings = 0 # total loan amount person has outstanding diff --git a/examples/charts/charts/model.py b/examples/charts/charts/model.py index 71e984a1..00b6239a 100644 --- a/examples/charts/charts/model.py +++ b/examples/charts/charts/model.py @@ -128,7 +128,7 @@ def __init__( # set x, y coords randomly within the grid x = self.random.randrange(self.width) y = self.random.randrange(self.height) - p = Person(i, (x, y), self, True, self.bank, self.rich_threshold) + p = Person(i, self, True, self.bank, self.rich_threshold) # place the Person object on the grid at coordinates (x, y) self.grid.place_agent(p, (x, y)) # add the Person object to the model schedule diff --git a/examples/charts/charts/random_walk.py b/examples/charts/charts/random_walk.py index 7e067881..884b24bd 100644 --- a/examples/charts/charts/random_walk.py +++ b/examples/charts/charts/random_walk.py @@ -24,7 +24,7 @@ class RandomWalker(mesa.Agent): # use a Moore neighborhood moore = True - def __init__(self, unique_id, pos, model, moore=True): + def __init__(self, unique_id, model, moore=True): """ grid: The MultiGrid object in which the agent lives. x: The agent's current x coordinate @@ -33,7 +33,6 @@ def __init__(self, unique_id, pos, model, moore=True): Otherwise, only up, down, left, right. """ super().__init__(unique_id, model) - self.pos = pos self.moore = moore def random_move(self): From fbf80af30d4ed6dce01bee54020b8c15cfb3ae8f Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Sat, 10 Aug 2024 21:09:04 +0200 Subject: [PATCH 17/82] shape: Don't pass pos Don't pass the position parameter, but just use place_agent. Resolves the duplicate position warning. --- examples/shape_example/shape_example/model.py | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/examples/shape_example/shape_example/model.py b/examples/shape_example/shape_example/model.py index 23f47a6f..d1fdbe97 100644 --- a/examples/shape_example/shape_example/model.py +++ b/examples/shape_example/shape_example/model.py @@ -2,9 +2,8 @@ class Walker(mesa.Agent): - def __init__(self, unique_id, model, pos, heading=(1, 0)): + def __init__(self, unique_id, model, heading=(1, 0)): super().__init__(unique_id, model) - self.pos = pos self.heading = heading self.headings = {(1, 0), (0, 1), (-1, 0), (0, -1)} @@ -31,7 +30,7 @@ def make_walker_agents(self): # heading = (1, 0) if self.grid.is_cell_empty(pos): print(f"Creating agent {unique_id} at ({x}, {y})") - a = Walker(unique_id, self, pos, heading) + a = Walker(unique_id, self, heading) self.schedule.add(a) self.grid.place_agent(a, pos) unique_id += 1 From 4dac7dcc1f81459bc2c0d5c53cb9f0034d8c3861 Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Sat, 10 Aug 2024 22:10:09 +0200 Subject: [PATCH 18/82] wolf_sheep: Replace custom scheduler with AgentSet functionality This resolves all warnings outputted by this model. For the model step, the behavior of the old RandomActivationByType scheduler when using step(shuffle_types=True, shuffle_agents=True) is replicated. Conceptually, it can be argued that this should be modelled differently. The verbose prints are also removed. --- examples/wolf_sheep/wolf_sheep/agents.py | 8 ++-- examples/wolf_sheep/wolf_sheep/model.py | 49 +++++---------------- examples/wolf_sheep/wolf_sheep/scheduler.py | 31 ------------- 3 files changed, 14 insertions(+), 74 deletions(-) delete mode 100644 examples/wolf_sheep/wolf_sheep/scheduler.py diff --git a/examples/wolf_sheep/wolf_sheep/agents.py b/examples/wolf_sheep/wolf_sheep/agents.py index 6d73e113..688f2509 100644 --- a/examples/wolf_sheep/wolf_sheep/agents.py +++ b/examples/wolf_sheep/wolf_sheep/agents.py @@ -37,7 +37,7 @@ def step(self): # Death if self.energy < 0: self.model.grid.remove_agent(self) - self.model.schedule.remove(self) + self.remove() living = False if living and self.random.random() < self.model.sheep_reproduce: @@ -46,7 +46,6 @@ def step(self): self.energy /= 2 lamb = Sheep(self.model.next_id(), self.model, self.moore, self.energy) self.model.grid.place_agent(lamb, self.pos) - self.model.schedule.add(lamb) class Wolf(RandomWalker): @@ -74,19 +73,18 @@ def step(self): # Kill the sheep self.model.grid.remove_agent(sheep_to_eat) - self.model.schedule.remove(sheep_to_eat) + sheep_to_eat.remove() # Death or reproduction if self.energy < 0: self.model.grid.remove_agent(self) - self.model.schedule.remove(self) + self.remove() else: if self.random.random() < self.model.wolf_reproduce: # Create a new wolf cub self.energy /= 2 cub = Wolf(self.model.next_id(), self.model, self.moore, self.energy) self.model.grid.place_agent(cub, self.pos) - self.model.schedule.add(cub) class GrassPatch(mesa.Agent): diff --git a/examples/wolf_sheep/wolf_sheep/model.py b/examples/wolf_sheep/wolf_sheep/model.py index 48128d00..59f1835c 100644 --- a/examples/wolf_sheep/wolf_sheep/model.py +++ b/examples/wolf_sheep/wolf_sheep/model.py @@ -12,7 +12,6 @@ import mesa from .agents import GrassPatch, Sheep, Wolf -from .scheduler import RandomActivationByTypeFiltered class WolfSheep(mesa.Model): @@ -35,8 +34,6 @@ class WolfSheep(mesa.Model): grass_regrowth_time = 30 sheep_gain_from_food = 4 - verbose = False # Print-monitoring - description = ( "A model for simulating wolf and sheep (predator-prey) ecosystem modelling." ) @@ -81,14 +78,13 @@ def __init__( self.grass_regrowth_time = grass_regrowth_time self.sheep_gain_from_food = sheep_gain_from_food - self.schedule = RandomActivationByTypeFiltered(self) self.grid = mesa.space.MultiGrid(self.width, self.height, torus=True) self.datacollector = mesa.DataCollector( { - "Wolves": lambda m: m.schedule.get_type_count(Wolf), - "Sheep": lambda m: m.schedule.get_type_count(Sheep), - "Grass": lambda m: m.schedule.get_type_count( - GrassPatch, lambda x: x.fully_grown + "Wolves": lambda m: len(m.get_agents_of_type(Wolf)), + "Sheep": lambda m: len(m.get_agents_of_type(Sheep)), + "Grass": lambda m: len( + m.get_agents_of_type(GrassPatch).select(lambda a: a.fully_grown) ), } ) @@ -100,7 +96,6 @@ def __init__( energy = self.random.randrange(2 * self.sheep_gain_from_food) sheep = Sheep(self.next_id(), self, True, energy) self.grid.place_agent(sheep, (x, y)) - self.schedule.add(sheep) # Create wolves for i in range(self.initial_wolves): @@ -109,7 +104,6 @@ def __init__( energy = self.random.randrange(2 * self.wolf_gain_from_food) wolf = Wolf(self.next_id(), self, True, energy) self.grid.place_agent(wolf, (x, y)) - self.schedule.add(wolf) # Create grass patches if self.grass: @@ -123,42 +117,21 @@ def __init__( patch = GrassPatch(self.next_id(), self, fully_grown, countdown) self.grid.place_agent(patch, (x, y)) - self.schedule.add(patch) self.running = True self.datacollector.collect(self) def step(self): - self.schedule.step() + # This replicated the behavior of the old RandomActivationByType scheduler + # when using step(shuffle_types=True, shuffle_agents=True). + # Conceptually, it can be argued that this should be modelled differently. + self.random.shuffle(self.agent_types) + for agent_type in self.agent_types: + self.get_agents_of_type(agent_type).do("step") + # collect data self.datacollector.collect(self) - if self.verbose: - print( - [ - self.schedule.time, - self.schedule.get_type_count(Wolf), - self.schedule.get_type_count(Sheep), - self.schedule.get_type_count(GrassPatch, lambda x: x.fully_grown), - ] - ) def run_model(self, step_count=200): - if self.verbose: - print("Initial number wolves: ", self.schedule.get_type_count(Wolf)) - print("Initial number sheep: ", self.schedule.get_type_count(Sheep)) - print( - "Initial number grass: ", - self.schedule.get_type_count(GrassPatch, lambda x: x.fully_grown), - ) - for i in range(step_count): self.step() - - if self.verbose: - print("") - print("Final number wolves: ", self.schedule.get_type_count(Wolf)) - print("Final number sheep: ", self.schedule.get_type_count(Sheep)) - print( - "Final number grass: ", - self.schedule.get_type_count(GrassPatch, lambda x: x.fully_grown), - ) diff --git a/examples/wolf_sheep/wolf_sheep/scheduler.py b/examples/wolf_sheep/wolf_sheep/scheduler.py deleted file mode 100644 index 97424a55..00000000 --- a/examples/wolf_sheep/wolf_sheep/scheduler.py +++ /dev/null @@ -1,31 +0,0 @@ -from typing import Callable, Optional, Type - -import mesa - - -class RandomActivationByTypeFiltered(mesa.time.RandomActivationByType): - """ - A scheduler that overrides the get_type_count method to allow for filtering - of agents by a function before counting. - - Example: - >>> scheduler = RandomActivationByTypeFiltered(model) - >>> scheduler.get_type_count(AgentA, lambda agent: agent.some_attribute > 10) - """ - - def get_type_count( - self, - type_class: Type[mesa.Agent], - filter_func: Optional[Callable[[mesa.Agent], bool]] = None, - ) -> int: - """ - Returns the current number of agents of certain type in the queue - that satisfy the filter function. - """ - if type_class not in self.agents_by_type: - return 0 - count = 0 - for agent in self.agents_by_type[type_class].values(): - if filter_func is None or filter_func(agent): - count += 1 - return count From 487561d698324f8198e732a44cf73d0a4e45459b Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Sat, 10 Aug 2024 22:12:48 +0200 Subject: [PATCH 19/82] bank_reserves: Don't pass pos Don't pass the position parameter, but just use place_agent. Resolves the duplicate position warning. --- examples/bank_reserves/bank_reserves/agents.py | 4 ++-- examples/bank_reserves/bank_reserves/model.py | 2 +- examples/bank_reserves/bank_reserves/random_walk.py | 3 +-- 3 files changed, 4 insertions(+), 5 deletions(-) diff --git a/examples/bank_reserves/bank_reserves/agents.py b/examples/bank_reserves/bank_reserves/agents.py index 2863df99..5d81a65c 100644 --- a/examples/bank_reserves/bank_reserves/agents.py +++ b/examples/bank_reserves/bank_reserves/agents.py @@ -42,9 +42,9 @@ def bank_balance(self): # subclass of RandomWalker, which is subclass to Mesa Agent class Person(RandomWalker): - def __init__(self, unique_id, pos, model, moore, bank, rich_threshold): + def __init__(self, unique_id, model, moore, bank, rich_threshold): # init parent class with required parameters - super().__init__(unique_id, pos, model, moore=moore) + super().__init__(unique_id, model, moore=moore) # the amount each person has in savings self.savings = 0 # total loan amount person has outstanding diff --git a/examples/bank_reserves/bank_reserves/model.py b/examples/bank_reserves/bank_reserves/model.py index f0f4ba77..421854fb 100644 --- a/examples/bank_reserves/bank_reserves/model.py +++ b/examples/bank_reserves/bank_reserves/model.py @@ -145,7 +145,7 @@ def __init__( # set x, y coords randomly within the grid x = self.random.randrange(self.width) y = self.random.randrange(self.height) - p = Person(i, (x, y), self, True, self.bank, self.rich_threshold) + p = Person(i, self, True, self.bank, self.rich_threshold) # place the Person object on the grid at coordinates (x, y) self.grid.place_agent(p, (x, y)) # add the Person object to the model schedule diff --git a/examples/bank_reserves/bank_reserves/random_walk.py b/examples/bank_reserves/bank_reserves/random_walk.py index 7e067881..884b24bd 100644 --- a/examples/bank_reserves/bank_reserves/random_walk.py +++ b/examples/bank_reserves/bank_reserves/random_walk.py @@ -24,7 +24,7 @@ class RandomWalker(mesa.Agent): # use a Moore neighborhood moore = True - def __init__(self, unique_id, pos, model, moore=True): + def __init__(self, unique_id, model, moore=True): """ grid: The MultiGrid object in which the agent lives. x: The agent's current x coordinate @@ -33,7 +33,6 @@ def __init__(self, unique_id, pos, model, moore=True): Otherwise, only up, down, left, right. """ super().__init__(unique_id, model) - self.pos = pos self.moore = moore def random_move(self): From 86cdf99f2ac7c46153ca2b2fccb932a0e0e14993 Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Sat, 10 Aug 2024 22:16:08 +0200 Subject: [PATCH 20/82] CI: Let pytest treat warnings as errors Uses the -Werror option of pytest to treat warnings as errors. See https://docs.python.org/3/using/cmdline.html#cmdoption-W --- .github/workflows/build_lint.yml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/.github/workflows/build_lint.yml b/.github/workflows/build_lint.yml index 112de27e..0da5147b 100644 --- a/.github/workflows/build_lint.yml +++ b/.github/workflows/build_lint.yml @@ -35,7 +35,7 @@ jobs: # - name: Install dependencies # run: pip install mesa pytest # - name: Test with pytest - # run: pytest test_examples.py + # run: pytest -rA -Werror test_examples.py build-pre: runs-on: ubuntu-latest @@ -50,7 +50,7 @@ jobs: pip install mesa --pre pip install pytest - name: Test with pytest - run: pytest -rA test_examples.py + run: pytest -rA -Werror test_examples.py build-main: runs-on: ubuntu-latest @@ -65,4 +65,4 @@ jobs: pip install pytest pip install -U git+https://github.com/projectmesa/mesa@main#egg=mesa - name: Test with pytest - run: pytest -rA test_examples.py + run: pytest -rA -Werror test_examples.py From 3e0d16f35f7bbc5ecc8210e91d31b23ea1f7d434 Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Sun, 11 Aug 2024 11:08:39 +0200 Subject: [PATCH 21/82] sugerscape_g1mt: Use model.get_agents_of_type instead of .select() Use model.get_agents_of_type instead of model.agents.select() to select all agents of a certain type. It should be faster, since it's a direct dictionary call. --- examples/sugarscape_g1mt/sugarscape_g1mt/model.py | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/examples/sugarscape_g1mt/sugarscape_g1mt/model.py b/examples/sugarscape_g1mt/sugarscape_g1mt/model.py index 19e43644..015c745c 100644 --- a/examples/sugarscape_g1mt/sugarscape_g1mt/model.py +++ b/examples/sugarscape_g1mt/sugarscape_g1mt/model.py @@ -73,12 +73,12 @@ def __init__( # initiate datacollector self.datacollector = mesa.DataCollector( model_reporters={ - "Trader": lambda m: len(m.agents.select(agent_type=Trader)), + "Trader": lambda m: len(m.get_agents_of_type(Trader)), "Trade Volume": lambda m: sum( - len(a.trade_partners) for a in self.agents.select(agent_type=Trader) + len(a.trade_partners) for a in m.get_agents_of_type(Trader) ), "Price": lambda m: geometric_mean( - flatten([a.prices for a in self.agents.select(agent_type=Trader)]) + flatten([a.prices for a in m.get_agents_of_type(Trader)]) ), }, agent_reporters={"Trade Network": lambda a: get_trade(a)}, @@ -134,12 +134,12 @@ def step(self): and then randomly activates traders """ # step Resource agents - self.agents.select(agent_type=Resource).do("step") + self.get_agents_of_type(Resource).do("step") # step trader agents # to account for agent death and removal we need a seperate data strcuture to # iterate - trader_shuffle = self.agents.select(agent_type=Trader).shuffle() + trader_shuffle = self.get_agents_of_type(Trader).shuffle() for agent in trader_shuffle: agent.prices = [] @@ -154,7 +154,7 @@ def step(self): self.datacollector.collect(self) return - trader_shuffle = self.agents.select(agent_type=Trader).shuffle() + trader_shuffle = self.get_agents_of_type(Trader).shuffle() for agent in trader_shuffle: agent.trade_with_neighbors() From 274a1bcdce13d86f992eed085093f8954400ad98 Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Sun, 18 Aug 2024 22:33:07 +0200 Subject: [PATCH 22/82] schelling_experimental: Fix SolaraViz import --- examples/schelling_experimental/app.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/schelling_experimental/app.py b/examples/schelling_experimental/app.py index 9092e7f3..8f939106 100644 --- a/examples/schelling_experimental/app.py +++ b/examples/schelling_experimental/app.py @@ -1,4 +1,4 @@ -from mesa.visualization.solara_viz.py import Slider, SolaraViz, make_text +from mesa.visualization.solara_viz import Slider, SolaraViz, make_text from model import Schelling From bd1736145ed002bf231ef1c088931c02720dc267 Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Sat, 17 Aug 2024 21:33:56 +0200 Subject: [PATCH 23/82] Replace model.schedule.agents with model.agents AgentSet Replace all usages of model.schedule.agents with the use of the model.agents AgentSet in all examples. --- examples/bank_reserves/bank_reserves/model.py | 14 ++++++-------- examples/bank_reserves/batch_run.py | 14 ++++++-------- examples/boid_flockers/Flocker Test.ipynb | 2 +- .../boid_flockers/SimpleContinuousModule.py | 2 +- .../boltzmann_wealth_model/model.py | 2 +- .../boltzmann_wealth_model_experimental/model.py | 2 +- .../boltzmann_wealth_model_network/model.py | 2 +- examples/charts/charts/model.py | 14 ++++++-------- .../epstein_civil_violence/model.py | 6 +++--- examples/forest_fire/Forest Fire Model.ipynb | 2 +- examples/forest_fire/forest_fire/model.py | 2 +- examples/hotelling_law/app.py | 14 ++++++-------- examples/hotelling_law/hotelling_law/agents.py | 2 +- examples/schelling/analysis.ipynb | 2 +- examples/schelling_experimental/analysis.ipynb | 2 +- examples/sugarscape_g1mt/tests.py | 2 +- 16 files changed, 38 insertions(+), 46 deletions(-) diff --git a/examples/bank_reserves/bank_reserves/model.py b/examples/bank_reserves/bank_reserves/model.py index 421854fb..33e0f03a 100644 --- a/examples/bank_reserves/bank_reserves/model.py +++ b/examples/bank_reserves/bank_reserves/model.py @@ -26,14 +26,14 @@ def get_num_rich_agents(model): """return number of rich agents""" - rich_agents = [a for a in model.schedule.agents if a.savings > model.rich_threshold] + rich_agents = [a for a in model.agents if a.savings > model.rich_threshold] return len(rich_agents) def get_num_poor_agents(model): """return number of poor agents""" - poor_agents = [a for a in model.schedule.agents if a.loans > 10] + poor_agents = [a for a in model.agents if a.loans > 10] return len(poor_agents) @@ -41,9 +41,7 @@ def get_num_mid_agents(model): """return number of middle class agents""" mid_agents = [ - a - for a in model.schedule.agents - if a.loans < 10 and a.savings < model.rich_threshold + a for a in model.agents if a.loans < 10 and a.savings < model.rich_threshold ] return len(mid_agents) @@ -51,7 +49,7 @@ def get_num_mid_agents(model): def get_total_savings(model): """sum of all agents' savings""" - agent_savings = [a.savings for a in model.schedule.agents] + agent_savings = [a.savings for a in model.agents] # return the sum of agents' savings return np.sum(agent_savings) @@ -59,7 +57,7 @@ def get_total_savings(model): def get_total_wallets(model): """sum of amounts of all agents' wallets""" - agent_wallets = [a.wallet for a in model.schedule.agents] + agent_wallets = [a.wallet for a in model.agents] # return the sum of all agents' wallets return np.sum(agent_wallets) @@ -75,7 +73,7 @@ def get_total_money(model): def get_total_loans(model): # list of amounts of all agents' loans - agent_loans = [a.loans for a in model.schedule.agents] + agent_loans = [a.loans for a in model.agents] # return sum of all agents' loans return np.sum(agent_loans) diff --git a/examples/bank_reserves/batch_run.py b/examples/bank_reserves/batch_run.py index 4a0115bb..6bba61d4 100644 --- a/examples/bank_reserves/batch_run.py +++ b/examples/bank_reserves/batch_run.py @@ -37,7 +37,7 @@ def get_num_rich_agents(model): """list of rich agents""" - rich_agents = [a for a in model.schedule.agents if a.savings > model.rich_threshold] + rich_agents = [a for a in model.agents if a.savings > model.rich_threshold] # return number of rich agents return len(rich_agents) @@ -45,7 +45,7 @@ def get_num_rich_agents(model): def get_num_poor_agents(model): """list of poor agents""" - poor_agents = [a for a in model.schedule.agents if a.loans > 10] + poor_agents = [a for a in model.agents if a.loans > 10] # return number of poor agents return len(poor_agents) @@ -54,9 +54,7 @@ def get_num_mid_agents(model): """list of middle class agents""" mid_agents = [ - a - for a in model.schedule.agents - if a.loans < 10 and a.savings < model.rich_threshold + a for a in model.agents if a.loans < 10 and a.savings < model.rich_threshold ] # return number of middle class agents return len(mid_agents) @@ -65,7 +63,7 @@ def get_num_mid_agents(model): def get_total_savings(model): """list of amounts of all agents' savings""" - agent_savings = [a.savings for a in model.schedule.agents] + agent_savings = [a.savings for a in model.agents] # return the sum of agents' savings return np.sum(agent_savings) @@ -73,7 +71,7 @@ def get_total_savings(model): def get_total_wallets(model): """list of amounts of all agents' wallets""" - agent_wallets = [a.wallet for a in model.schedule.agents] + agent_wallets = [a.wallet for a in model.agents] # return the sum of all agents' wallets return np.sum(agent_wallets) @@ -91,7 +89,7 @@ def get_total_money(model): def get_total_loans(model): """list of amounts of all agents' loans""" - agent_loans = [a.loans for a in model.schedule.agents] + agent_loans = [a.loans for a in model.agents] # return sum of all agents' loans return np.sum(agent_loans) diff --git a/examples/boid_flockers/Flocker Test.ipynb b/examples/boid_flockers/Flocker Test.ipynb index 82ecc47b..c757f3a8 100644 --- a/examples/boid_flockers/Flocker Test.ipynb +++ b/examples/boid_flockers/Flocker Test.ipynb @@ -25,7 +25,7 @@ "def draw_boids(model):\n", " x_vals = []\n", " y_vals = []\n", - " for boid in model.schedule.agents:\n", + " for boid in model.agents:\n", " x, y = boid.pos\n", " x_vals.append(x)\n", " y_vals.append(y)\n", diff --git a/examples/boid_flockers/boid_flockers/SimpleContinuousModule.py b/examples/boid_flockers/boid_flockers/SimpleContinuousModule.py index 42b3e9dd..ec670d7a 100644 --- a/examples/boid_flockers/boid_flockers/SimpleContinuousModule.py +++ b/examples/boid_flockers/boid_flockers/SimpleContinuousModule.py @@ -18,7 +18,7 @@ def __init__(self, portrayal_method=None, canvas_height=500, canvas_width=500): def render(self, model): space_state = [] - for obj in model.schedule.agents: + 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) diff --git a/examples/boltzmann_wealth_model/boltzmann_wealth_model/model.py b/examples/boltzmann_wealth_model/boltzmann_wealth_model/model.py index 11a3e958..1e1f3973 100644 --- a/examples/boltzmann_wealth_model/boltzmann_wealth_model/model.py +++ b/examples/boltzmann_wealth_model/boltzmann_wealth_model/model.py @@ -2,7 +2,7 @@ def compute_gini(model): - agent_wealths = [agent.wealth for agent in model.schedule.agents] + agent_wealths = [agent.wealth for agent in model.agents] x = sorted(agent_wealths) N = model.num_agents B = sum(xi * (N - i) for i, xi in enumerate(x)) / (N * sum(x)) diff --git a/examples/boltzmann_wealth_model_experimental/model.py b/examples/boltzmann_wealth_model_experimental/model.py index 11a3e958..1e1f3973 100644 --- a/examples/boltzmann_wealth_model_experimental/model.py +++ b/examples/boltzmann_wealth_model_experimental/model.py @@ -2,7 +2,7 @@ def compute_gini(model): - agent_wealths = [agent.wealth for agent in model.schedule.agents] + agent_wealths = [agent.wealth for agent in model.agents] x = sorted(agent_wealths) N = model.num_agents B = sum(xi * (N - i) for i, xi in enumerate(x)) / (N * sum(x)) diff --git a/examples/boltzmann_wealth_model_network/boltzmann_wealth_model_network/model.py b/examples/boltzmann_wealth_model_network/boltzmann_wealth_model_network/model.py index d7b43374..78f73ee4 100644 --- a/examples/boltzmann_wealth_model_network/boltzmann_wealth_model_network/model.py +++ b/examples/boltzmann_wealth_model_network/boltzmann_wealth_model_network/model.py @@ -3,7 +3,7 @@ def compute_gini(model): - agent_wealths = [agent.wealth for agent in model.schedule.agents] + agent_wealths = [agent.wealth for agent in model.agents] x = sorted(agent_wealths) N = model.num_agents B = sum(xi * (N - i) for i, xi in enumerate(x)) / (N * sum(x)) diff --git a/examples/charts/charts/model.py b/examples/charts/charts/model.py index 00b6239a..c6e3b37c 100644 --- a/examples/charts/charts/model.py +++ b/examples/charts/charts/model.py @@ -26,14 +26,14 @@ def get_num_rich_agents(model): """return number of rich agents""" - rich_agents = [a for a in model.schedule.agents if a.savings > model.rich_threshold] + rich_agents = [a for a in model.agents if a.savings > model.rich_threshold] return len(rich_agents) def get_num_poor_agents(model): """return number of poor agents""" - poor_agents = [a for a in model.schedule.agents if a.loans > 10] + poor_agents = [a for a in model.agents if a.loans > 10] return len(poor_agents) @@ -41,9 +41,7 @@ def get_num_mid_agents(model): """return number of middle class agents""" mid_agents = [ - a - for a in model.schedule.agents - if a.loans < 10 and a.savings < model.rich_threshold + a for a in model.agents if a.loans < 10 and a.savings < model.rich_threshold ] return len(mid_agents) @@ -51,7 +49,7 @@ def get_num_mid_agents(model): def get_total_savings(model): """sum of all agents' savings""" - agent_savings = [a.savings for a in model.schedule.agents] + agent_savings = [a.savings for a in model.agents] # return the sum of agents' savings return np.sum(agent_savings) @@ -59,7 +57,7 @@ def get_total_savings(model): def get_total_wallets(model): """sum of amounts of all agents' wallets""" - agent_wallets = [a.wallet for a in model.schedule.agents] + agent_wallets = [a.wallet for a in model.agents] # return the sum of all agents' wallets return np.sum(agent_wallets) @@ -75,7 +73,7 @@ def get_total_money(model): def get_total_loans(model): # list of amounts of all agents' loans - agent_loans = [a.loans for a in model.schedule.agents] + agent_loans = [a.loans for a in model.agents] # return sum of all agents' loans return np.sum(agent_loans) diff --git a/examples/epstein_civil_violence/epstein_civil_violence/model.py b/examples/epstein_civil_violence/epstein_civil_violence/model.py index 6bce24eb..542c419e 100644 --- a/examples/epstein_civil_violence/epstein_civil_violence/model.py +++ b/examples/epstein_civil_violence/epstein_civil_violence/model.py @@ -122,7 +122,7 @@ def count_type_citizens(model, condition, exclude_jailed=True): Helper method to count agents by Quiescent/Active. """ count = 0 - for agent in model.schedule.agents: + for agent in model.agents: if agent.breed == "cop": continue if exclude_jailed and agent.jail_sentence > 0: @@ -137,7 +137,7 @@ def count_jailed(model): Helper method to count jailed agents. """ count = 0 - for agent in model.schedule.agents: + for agent in model.agents: if agent.breed == "citizen" and agent.jail_sentence > 0: count += 1 return count @@ -148,7 +148,7 @@ def count_cops(model): Helper method to count jailed agents. """ count = 0 - for agent in model.schedule.agents: + for agent in model.agents: if agent.breed == "cop": count += 1 return count diff --git a/examples/forest_fire/Forest Fire Model.ipynb b/examples/forest_fire/Forest Fire Model.ipynb index afe4142a..e0d84a8f 100644 --- a/examples/forest_fire/Forest Fire Model.ipynb +++ b/examples/forest_fire/Forest Fire Model.ipynb @@ -168,7 +168,7 @@ " Helper method to count trees in a given condition in a given model.\n", " \"\"\"\n", " count = 0\n", - " for tree in model.schedule.agents:\n", + " for tree in model.agents:\n", " if tree.condition == tree_condition:\n", " count += 1\n", " return count" diff --git a/examples/forest_fire/forest_fire/model.py b/examples/forest_fire/forest_fire/model.py index 4b2d5b41..91bece3d 100644 --- a/examples/forest_fire/forest_fire/model.py +++ b/examples/forest_fire/forest_fire/model.py @@ -61,7 +61,7 @@ def count_type(model, tree_condition): Helper method to count trees in a given condition in a given model. """ count = 0 - for tree in model.schedule.agents: + for tree in model.agents: if tree.condition == tree_condition: count += 1 return count diff --git a/examples/hotelling_law/app.py b/examples/hotelling_law/app.py index 60c3dbca..3b1d8ef2 100644 --- a/examples/hotelling_law/app.py +++ b/examples/hotelling_law/app.py @@ -121,7 +121,7 @@ def space_drawer(model, agent_portrayal): cell_store_contents = {} # Track store agents in each cell jitter_amount = 0.3 # Jitter for visual separation - for agent in model.schedule.agents: + for agent in model.agents: portrayal = agent_portrayal(agent) # Track store agents for cell coloring @@ -150,7 +150,7 @@ def space_drawer(model, agent_portrayal): ax.add_patch(rect) # Jittered scatter plot for all agents - for agent in model.schedule.agents: + for agent in model.agents: portrayal = agent_portrayal(agent) jitter_x = np.random.uniform(-jitter_amount, jitter_amount) + agent.pos[0] + 0.5 jitter_y = np.random.uniform(-jitter_amount, jitter_amount) + agent.pos[1] + 0.5 @@ -177,9 +177,7 @@ def make_market_share_and_price_chart(model): # Get store agents and sort them by their unique_id # to ensure consistent order - store_agents = [ - agent for agent in model.schedule.agents if isinstance(agent, StoreAgent) - ] + store_agents = [agent for agent in model.agents if isinstance(agent, StoreAgent)] store_agents_sorted = sorted(store_agents, key=lambda agent: agent.unique_id) # Now gather market shares, prices, and labels using the sorted list @@ -241,7 +239,7 @@ def make_price_changes_line_chart(model): # Retrieve agent colors based on their portrayal agent_colors = { f"Store_{agent.unique_id}_Price": agent_portrayal(agent)["color"] - for agent in model.schedule.agents + for agent in model.agents if isinstance(agent, StoreAgent) } @@ -277,7 +275,7 @@ def make_market_share_line_chart(model): # Retrieve agent colors based on their portrayal agent_colors = { f"Store_{agent.unique_id}_Market Share": agent_portrayal(agent)["color"] - for agent in model.schedule.agents + for agent in model.agents if isinstance(agent, StoreAgent) } @@ -313,7 +311,7 @@ def make_revenue_line_chart(model): # Retrieve agent colors based on their portrayal agent_colors = { f"Store_{agent.unique_id}_Revenue": agent_portrayal(agent)["color"] - for agent in model.schedule.agents + for agent in model.agents if isinstance(agent, StoreAgent) } diff --git a/examples/hotelling_law/hotelling_law/agents.py b/examples/hotelling_law/hotelling_law/agents.py index 62d8cc8d..f4300711 100644 --- a/examples/hotelling_law/hotelling_law/agents.py +++ b/examples/hotelling_law/hotelling_law/agents.py @@ -119,7 +119,7 @@ def adjust_price(self): def identify_competitors(self): competitors = [] - for agent in self.model.schedule.agents: + for agent in self.model.agents: if isinstance(agent, StoreAgent) and agent.unique_id != self.unique_id: # Estimate market overlap as a measure of competition overlap = self.estimate_market_overlap(agent) diff --git a/examples/schelling/analysis.ipynb b/examples/schelling/analysis.ipynb index 50f382c6..c3c93651 100644 --- a/examples/schelling/analysis.ipynb +++ b/examples/schelling/analysis.ipynb @@ -328,7 +328,7 @@ " Find the % of agents that only have neighbors of their same type.\n", " \"\"\"\n", " segregated_agents = 0\n", - " for agent in model.schedule.agents:\n", + " for agent in model.agents:\n", " segregated = True\n", " for neighbor in model.grid.iter_neighbors(agent.pos, True):\n", " if neighbor.type != agent.type:\n", diff --git a/examples/schelling_experimental/analysis.ipynb b/examples/schelling_experimental/analysis.ipynb index 50f382c6..c3c93651 100644 --- a/examples/schelling_experimental/analysis.ipynb +++ b/examples/schelling_experimental/analysis.ipynb @@ -328,7 +328,7 @@ " Find the % of agents that only have neighbors of their same type.\n", " \"\"\"\n", " segregated_agents = 0\n", - " for agent in model.schedule.agents:\n", + " for agent in model.agents:\n", " segregated = True\n", " for neighbor in model.grid.iter_neighbors(agent.pos, True):\n", " if neighbor.type != agent.type:\n", diff --git a/examples/sugarscape_g1mt/tests.py b/examples/sugarscape_g1mt/tests.py index bcfcf739..70deaecb 100644 --- a/examples/sugarscape_g1mt/tests.py +++ b/examples/sugarscape_g1mt/tests.py @@ -40,7 +40,7 @@ def calculate_carrying_capacities(enable_trade): for vision_max in visions: model = SugarscapeG1mt(vision_max=vision_max, enable_trade=enable_trade) model.run_model(step_count=50) - carrying_capacities.append(len(model.schedule.agents_by_type[Trader])) + carrying_capacities.append(len(model.agents_by_type[Trader])) return carrying_capacities # Carrying capacity should increase over mean vision (figure IV-6). From 642a9ad66b01eb223f72a3c2fb583c4dabc736ad Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Sat, 17 Aug 2024 21:47:16 +0200 Subject: [PATCH 24/82] Replace RandomActivation scheduler with AgentSet Replace the old RandomActivation scheduler with AgentSet functionality. self.agents.shuffle.do("step") is equivalent and self.schedule.step() with an RandomActivation scheduler, and model behavior should not change. --- examples/bank_reserves/bank_reserves/model.py | 4 ++-- examples/bank_reserves/batch_run.py | 4 ++-- examples/boid_flockers/boid_flockers/model.py | 4 ++-- .../boltzmann_wealth_model/boltzmann_wealth_model/model.py | 4 ++-- examples/boltzmann_wealth_model_experimental/model.py | 4 ++-- .../boltzmann_wealth_model_network/model.py | 4 ++-- examples/caching_and_replay/model.py | 3 +-- examples/charts/charts/model.py | 4 ++-- examples/el_farol/el_farol/model.py | 3 +-- .../epstein_civil_violence/epstein_civil_violence/model.py | 4 ++-- examples/forest_fire/forest_fire/model.py | 4 ++-- examples/schelling/model.py | 3 +-- examples/shape_example/shape_example/model.py | 4 ++-- examples/virus_on_network/virus_on_network/model.py | 4 ++-- 14 files changed, 25 insertions(+), 28 deletions(-) diff --git a/examples/bank_reserves/bank_reserves/model.py b/examples/bank_reserves/bank_reserves/model.py index 33e0f03a..f353455e 100644 --- a/examples/bank_reserves/bank_reserves/model.py +++ b/examples/bank_reserves/bank_reserves/model.py @@ -116,7 +116,7 @@ def __init__( self.height = height self.width = width self.init_people = init_people - self.schedule = mesa.time.RandomActivation(self) + self.grid = mesa.space.MultiGrid(self.width, self.height, torus=True) # rich_threshold is the amount of savings a person needs to be considered "rich" self.rich_threshold = rich_threshold @@ -154,7 +154,7 @@ def __init__( def step(self): # tell all the agents in the model to run their step function - self.schedule.step() + self.agents.shuffle().do("step") # collect data self.datacollector.collect(self) diff --git a/examples/bank_reserves/batch_run.py b/examples/bank_reserves/batch_run.py index 6bba61d4..27bebe9c 100644 --- a/examples/bank_reserves/batch_run.py +++ b/examples/bank_reserves/batch_run.py @@ -127,7 +127,7 @@ def __init__( self.height = height self.width = width self.init_people = init_people - self.schedule = mesa.time.RandomActivation(self) + self.grid = mesa.space.MultiGrid(self.width, self.height, torus=True) # rich_threshold is the amount of savings a person needs to be considered "rich" self.rich_threshold = rich_threshold @@ -169,7 +169,7 @@ def step(self): # collect data self.datacollector.collect(self) # tell all the agents in the model to run their step function - self.schedule.step() + self.agents.shuffle().do("step") def run_model(self): for i in range(self.run_time): diff --git a/examples/boid_flockers/boid_flockers/model.py b/examples/boid_flockers/boid_flockers/model.py index 8ddfc11a..f9cd3934 100644 --- a/examples/boid_flockers/boid_flockers/model.py +++ b/examples/boid_flockers/boid_flockers/model.py @@ -120,7 +120,7 @@ def __init__( self.vision = vision self.speed = speed self.separation = separation - self.schedule = mesa.time.RandomActivation(self) + self.space = mesa.space.ContinuousSpace(width, height, True) self.factors = {"cohere": cohere, "separate": separate, "match": match} self.make_agents() @@ -147,4 +147,4 @@ def make_agents(self): self.schedule.add(boid) def step(self): - self.schedule.step() + self.agents.shuffle().do("step") diff --git a/examples/boltzmann_wealth_model/boltzmann_wealth_model/model.py b/examples/boltzmann_wealth_model/boltzmann_wealth_model/model.py index 1e1f3973..9a16a69e 100644 --- a/examples/boltzmann_wealth_model/boltzmann_wealth_model/model.py +++ b/examples/boltzmann_wealth_model/boltzmann_wealth_model/model.py @@ -21,7 +21,7 @@ def __init__(self, N=100, width=10, height=10): super().__init__() self.num_agents = N self.grid = mesa.space.MultiGrid(width, height, True) - self.schedule = mesa.time.RandomActivation(self) + self.datacollector = mesa.DataCollector( model_reporters={"Gini": compute_gini}, agent_reporters={"Wealth": "wealth"} ) @@ -38,7 +38,7 @@ def __init__(self, N=100, width=10, height=10): self.datacollector.collect(self) def step(self): - self.schedule.step() + self.agents.shuffle().do("step") # collect data self.datacollector.collect(self) diff --git a/examples/boltzmann_wealth_model_experimental/model.py b/examples/boltzmann_wealth_model_experimental/model.py index 1e1f3973..9a16a69e 100644 --- a/examples/boltzmann_wealth_model_experimental/model.py +++ b/examples/boltzmann_wealth_model_experimental/model.py @@ -21,7 +21,7 @@ def __init__(self, N=100, width=10, height=10): super().__init__() self.num_agents = N self.grid = mesa.space.MultiGrid(width, height, True) - self.schedule = mesa.time.RandomActivation(self) + self.datacollector = mesa.DataCollector( model_reporters={"Gini": compute_gini}, agent_reporters={"Wealth": "wealth"} ) @@ -38,7 +38,7 @@ def __init__(self, N=100, width=10, height=10): self.datacollector.collect(self) def step(self): - self.schedule.step() + self.agents.shuffle().do("step") # collect data self.datacollector.collect(self) diff --git a/examples/boltzmann_wealth_model_network/boltzmann_wealth_model_network/model.py b/examples/boltzmann_wealth_model_network/boltzmann_wealth_model_network/model.py index 78f73ee4..f5a04a95 100644 --- a/examples/boltzmann_wealth_model_network/boltzmann_wealth_model_network/model.py +++ b/examples/boltzmann_wealth_model_network/boltzmann_wealth_model_network/model.py @@ -19,7 +19,7 @@ def __init__(self, num_agents=7, num_nodes=10): self.num_nodes = num_nodes if num_nodes >= self.num_agents else self.num_agents self.G = nx.erdos_renyi_graph(n=self.num_nodes, p=0.5) self.grid = mesa.space.NetworkGrid(self.G) - self.schedule = mesa.time.RandomActivation(self) + self.datacollector = mesa.DataCollector( model_reporters={"Gini": compute_gini}, agent_reporters={"Wealth": lambda _: _.wealth}, @@ -38,7 +38,7 @@ def __init__(self, num_agents=7, num_nodes=10): self.datacollector.collect(self) def step(self): - self.schedule.step() + self.agents.shuffle().do("step") # collect data self.datacollector.collect(self) diff --git a/examples/caching_and_replay/model.py b/examples/caching_and_replay/model.py index 8b04368b..64a664c4 100644 --- a/examples/caching_and_replay/model.py +++ b/examples/caching_and_replay/model.py @@ -70,7 +70,6 @@ def __init__( self.homophily = homophily self.radius = radius - self.schedule = mesa.time.RandomActivation(self) self.grid = mesa.space.SingleGrid(width, height, torus=True) self.happy = 0 @@ -96,7 +95,7 @@ def step(self): Run one step of the model. """ self.happy = 0 # Reset counter of happy agents - self.schedule.step() + self.agents.shuffle().do("step") self.datacollector.collect(self) diff --git a/examples/charts/charts/model.py b/examples/charts/charts/model.py index c6e3b37c..9ad0d137 100644 --- a/examples/charts/charts/model.py +++ b/examples/charts/charts/model.py @@ -99,7 +99,7 @@ def __init__( self.height = height self.width = width self.init_people = init_people - self.schedule = mesa.time.RandomActivation(self) + self.grid = mesa.space.MultiGrid(self.width, self.height, torus=True) # rich_threshold is the amount of savings a person needs to be considered "rich" self.rich_threshold = rich_threshold @@ -137,7 +137,7 @@ def __init__( def step(self): # tell all the agents in the model to run their step function - self.schedule.step() + self.agents.shuffle().do("step") # collect data self.datacollector.collect(self) diff --git a/examples/el_farol/el_farol/model.py b/examples/el_farol/el_farol/model.py index c9a3d6c0..c4e382fc 100644 --- a/examples/el_farol/el_farol/model.py +++ b/examples/el_farol/el_farol/model.py @@ -15,7 +15,6 @@ def __init__( super().__init__() self.running = True self.num_agents = N - self.schedule = mesa.time.RandomActivation(self) # Initialize the previous attendance randomly so the agents have a history # to work with from the start. @@ -35,7 +34,7 @@ def __init__( def step(self): self.datacollector.collect(self) self.attendance = 0 - self.schedule.step() + self.agents.shuffle.do("step") # We ensure that the length of history is constant # after each step. self.history.pop(0) diff --git a/examples/epstein_civil_violence/epstein_civil_violence/model.py b/examples/epstein_civil_violence/epstein_civil_violence/model.py index 542c419e..90ae1315 100644 --- a/examples/epstein_civil_violence/epstein_civil_violence/model.py +++ b/examples/epstein_civil_violence/epstein_civil_violence/model.py @@ -58,7 +58,7 @@ def __init__( self.movement = movement self.max_iters = max_iters self.iteration = 0 - self.schedule = mesa.time.RandomActivation(self) + self.grid = mesa.space.SingleGrid(width, height, torus=True) model_reporters = { @@ -109,7 +109,7 @@ def step(self): """ Advance the model by one step and collect data. """ - self.schedule.step() + self.agents.shuffle().do("step") # collect data self.datacollector.collect(self) self.iteration += 1 diff --git a/examples/forest_fire/forest_fire/model.py b/examples/forest_fire/forest_fire/model.py index 91bece3d..a27452d3 100644 --- a/examples/forest_fire/forest_fire/model.py +++ b/examples/forest_fire/forest_fire/model.py @@ -18,7 +18,7 @@ def __init__(self, width=100, height=100, density=0.65): """ super().__init__() # Set up model objects - self.schedule = mesa.time.RandomActivation(self) + self.grid = mesa.space.SingleGrid(width, height, torus=False) self.datacollector = mesa.DataCollector( @@ -47,7 +47,7 @@ def step(self): """ Advance the model by one step. """ - self.schedule.step() + self.agents.shuffle().do("step") # collect data self.datacollector.collect(self) diff --git a/examples/schelling/model.py b/examples/schelling/model.py index dfba4efb..5c3c15df 100644 --- a/examples/schelling/model.py +++ b/examples/schelling/model.py @@ -68,7 +68,6 @@ def __init__( self.homophily = homophily self.radius = radius - self.schedule = mesa.time.RandomActivation(self) self.grid = mesa.space.SingleGrid(width, height, torus=True) self.happy = 0 @@ -94,7 +93,7 @@ def step(self): Run one step of the model. """ self.happy = 0 # Reset counter of happy agents - self.schedule.step() + self.agents.shuffle().do("step") self.datacollector.collect(self) diff --git a/examples/shape_example/shape_example/model.py b/examples/shape_example/shape_example/model.py index d1fdbe97..222064b0 100644 --- a/examples/shape_example/shape_example/model.py +++ b/examples/shape_example/shape_example/model.py @@ -14,7 +14,7 @@ def __init__(self, N=2, width=20, height=10): self.N = N # num of agents self.headings = ((1, 0), (0, 1), (-1, 0), (0, -1)) # tuples are fast self.grid = mesa.space.SingleGrid(width, height, torus=False) - self.schedule = mesa.time.RandomActivation(self) + self.make_walker_agents() self.running = True @@ -36,4 +36,4 @@ def make_walker_agents(self): unique_id += 1 def step(self): - self.schedule.step() + self.agents.shuffle().do("step") diff --git a/examples/virus_on_network/virus_on_network/model.py b/examples/virus_on_network/virus_on_network/model.py index a33e7545..65d23560 100644 --- a/examples/virus_on_network/virus_on_network/model.py +++ b/examples/virus_on_network/virus_on_network/model.py @@ -47,7 +47,7 @@ def __init__( prob = avg_node_degree / self.num_nodes self.G = nx.erdos_renyi_graph(n=self.num_nodes, p=prob) self.grid = mesa.space.NetworkGrid(self.G) - self.schedule = mesa.time.RandomActivation(self) + self.initial_outbreak_size = ( initial_outbreak_size if initial_outbreak_size <= num_nodes else num_nodes ) @@ -96,7 +96,7 @@ def resistant_susceptible_ratio(self): return math.inf def step(self): - self.schedule.step() + self.agents.shuffle().do("step") # collect data self.datacollector.collect(self) From 8e0ccf63f357de94ce69fc68a9a22bb443e2a9fb Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Sat, 17 Aug 2024 22:04:10 +0200 Subject: [PATCH 25/82] Replace SimultaneousActivation scheduler by AgentSet The SimultaneousActivation scheduler used a "step" and "advanced" function in the Agent. These have been renamed for each model to be more descriptive (like "determine_state" and "assume_state"), and then the model step was replace by something like: self.agents.do("determine_state") self.agents.do("assume_state") Docstring was also updated accordingly. --- examples/color_patches/color_patches/model.py | 20 +++++++------------ .../conways_game_of_life/cell.py | 4 ++-- .../conways_game_of_life/model.py | 16 +++++---------- examples/hex_snowflake/hex_snowflake/cell.py | 6 +++--- examples/hex_snowflake/hex_snowflake/model.py | 15 +++++--------- 5 files changed, 22 insertions(+), 39 deletions(-) diff --git a/examples/color_patches/color_patches/model.py b/examples/color_patches/color_patches/model.py index 4e69b965..8588ce41 100644 --- a/examples/color_patches/color_patches/model.py +++ b/examples/color_patches/color_patches/model.py @@ -36,7 +36,7 @@ def get_state(self): """Return the current state (OPINION) of this cell.""" return self._state - def step(self): + def determine_opinion(self): """ Determines the agent opinion for the next step by polling its neighbors The opinion is determined by the majority of the 8 neighbors' opinion @@ -54,7 +54,7 @@ def step(self): self._next_state = self.random.choice(tied_opinions)[0] - def advance(self): + def assume_opinion(self): """ Set the state of the agent to the next state """ @@ -73,7 +73,6 @@ def __init__(self, width=20, height=20): """ super().__init__() self._grid = mesa.space.SingleGrid(width, height, torus=False) - self.schedule = mesa.time.SimultaneousActivation(self) # self._grid.coord_iter() # --> should really not return content + col + row @@ -91,17 +90,12 @@ def __init__(self, width=20, height=20): def step(self): """ - Advance the model one step. + Perform the model step in two stages: + - First, all agents determine their next opinion based on their neighbors current opinions + - Then, all agents update their opinion to the next opinion """ - self.schedule.step() - - # the following is a temporary fix for the framework classes accessing - # model attributes directly - # I don't think it should - # --> it imposes upon the model builder to use the attributes names that - # the framework expects. - # - # Traceback included in docstrings + self.agents.do("determine_opinion") + self.agents.do("assume_opinion") @property def grid(self): diff --git a/examples/conways_game_of_life/conways_game_of_life/cell.py b/examples/conways_game_of_life/conways_game_of_life/cell.py index 8639288d..d9e0e7ba 100644 --- a/examples/conways_game_of_life/conways_game_of_life/cell.py +++ b/examples/conways_game_of_life/conways_game_of_life/cell.py @@ -24,7 +24,7 @@ def isAlive(self): def neighbors(self): return self.model.grid.iter_neighbors((self.x, self.y), True) - def step(self): + def determine_state(self): """ Compute if the cell will be dead or alive at the next tick. This is based on the number of alive or dead neighbors. The state is not @@ -46,7 +46,7 @@ def step(self): if live_neighbors == 3: self._nextState = self.ALIVE - def advance(self): + def assume_state(self): """ Set the state to the new computed state -- computed in step(). """ diff --git a/examples/conways_game_of_life/conways_game_of_life/model.py b/examples/conways_game_of_life/conways_game_of_life/model.py index f6c9637a..387de9ec 100644 --- a/examples/conways_game_of_life/conways_game_of_life/model.py +++ b/examples/conways_game_of_life/conways_game_of_life/model.py @@ -14,15 +14,6 @@ def __init__(self, width=50, height=50): Create a new playing area of (width, height) cells. """ super().__init__() - - # Set up the grid and schedule. - - # Use SimultaneousActivation which simulates all the cells - # computing their next state simultaneously. This needs to - # be done because each cell's next state depends on the current - # state of all its neighbors -- before they've changed. - self.schedule = mesa.time.SimultaneousActivation(self) - # Use a simple grid, where edges wrap around. self.grid = mesa.space.SingleGrid(width, height, torus=True) @@ -39,6 +30,9 @@ def __init__(self, width=50, height=50): def step(self): """ - Have the scheduler advance each cell by one step + Perform the model step in two stages: + - First, all cells assume their next state (whether they will be dead or alive) + - Then, all cells change state to their next state """ - self.schedule.step() + self.agents.do("determine_state") + self.agents.do("assume_state") diff --git a/examples/hex_snowflake/hex_snowflake/cell.py b/examples/hex_snowflake/hex_snowflake/cell.py index a9fd64ec..1c9c35df 100644 --- a/examples/hex_snowflake/hex_snowflake/cell.py +++ b/examples/hex_snowflake/hex_snowflake/cell.py @@ -29,7 +29,7 @@ def neighbors(self): def considered(self): return self.isConsidered is True - def step(self): + def determine_state(self): """ Compute if the cell will be dead or alive at the next tick. A dead cell will become alive if it has only one neighbor. The state is not @@ -53,8 +53,8 @@ def step(self): for a in self.neighbors: a.isConsidered = True - def advance(self): + def assume_state(self): """ - Set the state to the new computed state -- computed in step(). + Set the state to the new computed state """ self.state = self._nextState diff --git a/examples/hex_snowflake/hex_snowflake/model.py b/examples/hex_snowflake/hex_snowflake/model.py index 329bfe11..c898a2ec 100644 --- a/examples/hex_snowflake/hex_snowflake/model.py +++ b/examples/hex_snowflake/hex_snowflake/model.py @@ -14,14 +14,6 @@ def __init__(self, width=50, height=50): Create a new playing area of (width, height) cells. """ super().__init__() - # Set up the grid and schedule. - - # Use SimultaneousActivation which simulates all the cells - # computing their next state simultaneously. This needs to - # be done because each cell's next state depends on the current - # state of all its neighbors -- before they've changed. - self.schedule = mesa.time.SimultaneousActivation(self) - # Use a hexagonal grid, where edges wrap around. self.grid = mesa.space.HexSingleGrid(width, height, torus=True) @@ -42,6 +34,9 @@ def __init__(self, width=50, height=50): def step(self): """ - Have the scheduler advance each cell by one step + Perform the model step in two stages: + - First, all cells assume their next state (whether they will be dead or alive) + - Then, all cells change state to their next state """ - self.schedule.step() + self.agents.do("determine_state") + self.agents.do("assume_state") From dbedf6f7c6d3341ce99a8c63d8de4b0704934cea Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Sat, 17 Aug 2024 22:10:19 +0200 Subject: [PATCH 26/82] Remove adding agents to schedulers Schedulers don't exist anymore, so we don't need to add agents anymore. Agents are automatically added to model.agents on Agent initialisation. --- examples/bank_reserves/bank_reserves/model.py | 2 -- examples/bank_reserves/batch_run.py | 2 -- examples/boid_flockers/boid_flockers/model.py | 1 - .../boltzmann_wealth_model/boltzmann_wealth_model/model.py | 2 +- examples/boltzmann_wealth_model_experimental/model.py | 2 +- .../boltzmann_wealth_model_network/model.py | 2 +- examples/caching_and_replay/model.py | 1 - examples/charts/charts/model.py | 2 -- examples/color_patches/color_patches/model.py | 1 - examples/conways_game_of_life/conways_game_of_life/model.py | 1 - examples/el_farol/el_farol/model.py | 4 ++-- .../epstein_civil_violence/epstein_civil_violence/model.py | 3 +-- examples/forest_fire/Forest Fire Model.ipynb | 1 - examples/forest_fire/forest_fire/model.py | 1 - examples/hex_snowflake/hex_snowflake/model.py | 1 - examples/hotelling_law/hotelling_law/model.py | 4 ++-- examples/pd_grid/pd_grid/model.py | 1 - examples/schelling/model.py | 1 - examples/shape_example/shape_example/model.py | 2 +- examples/sugarscape_cg/sugarscape_cg/model.py | 2 -- examples/virus_on_network/virus_on_network/model.py | 2 +- examples/wolf_sheep/wolf_sheep/test_random_walk.py | 2 +- 22 files changed, 11 insertions(+), 29 deletions(-) diff --git a/examples/bank_reserves/bank_reserves/model.py b/examples/bank_reserves/bank_reserves/model.py index f353455e..6e5fd3ee 100644 --- a/examples/bank_reserves/bank_reserves/model.py +++ b/examples/bank_reserves/bank_reserves/model.py @@ -146,8 +146,6 @@ def __init__( p = Person(i, self, True, self.bank, self.rich_threshold) # place the Person object on the grid at coordinates (x, y) self.grid.place_agent(p, (x, y)) - # add the Person object to the model schedule - self.schedule.add(p) self.running = True self.datacollector.collect(self) diff --git a/examples/bank_reserves/batch_run.py b/examples/bank_reserves/batch_run.py index 27bebe9c..9562660f 100644 --- a/examples/bank_reserves/batch_run.py +++ b/examples/bank_reserves/batch_run.py @@ -160,8 +160,6 @@ def __init__( p = Person(i, (x, y), self, True, self.bank, self.rich_threshold) # place the Person object on the grid at coordinates (x, y) self.grid.place_agent(p, (x, y)) - # add the Person object to the model schedule - self.schedule.add(p) self.running = True diff --git a/examples/boid_flockers/boid_flockers/model.py b/examples/boid_flockers/boid_flockers/model.py index f9cd3934..6b032c33 100644 --- a/examples/boid_flockers/boid_flockers/model.py +++ b/examples/boid_flockers/boid_flockers/model.py @@ -144,7 +144,6 @@ def make_agents(self): **self.factors, ) self.space.place_agent(boid, pos) - self.schedule.add(boid) def step(self): self.agents.shuffle().do("step") diff --git a/examples/boltzmann_wealth_model/boltzmann_wealth_model/model.py b/examples/boltzmann_wealth_model/boltzmann_wealth_model/model.py index 9a16a69e..c34d0937 100644 --- a/examples/boltzmann_wealth_model/boltzmann_wealth_model/model.py +++ b/examples/boltzmann_wealth_model/boltzmann_wealth_model/model.py @@ -28,7 +28,7 @@ def __init__(self, N=100, width=10, height=10): # Create agents for i in range(self.num_agents): a = MoneyAgent(i, self) - self.schedule.add(a) + # Add the agent to a random grid cell x = self.random.randrange(self.grid.width) y = self.random.randrange(self.grid.height) diff --git a/examples/boltzmann_wealth_model_experimental/model.py b/examples/boltzmann_wealth_model_experimental/model.py index 9a16a69e..c34d0937 100644 --- a/examples/boltzmann_wealth_model_experimental/model.py +++ b/examples/boltzmann_wealth_model_experimental/model.py @@ -28,7 +28,7 @@ def __init__(self, N=100, width=10, height=10): # Create agents for i in range(self.num_agents): a = MoneyAgent(i, self) - self.schedule.add(a) + # Add the agent to a random grid cell x = self.random.randrange(self.grid.width) y = self.random.randrange(self.grid.height) diff --git a/examples/boltzmann_wealth_model_network/boltzmann_wealth_model_network/model.py b/examples/boltzmann_wealth_model_network/boltzmann_wealth_model_network/model.py index f5a04a95..73776e36 100644 --- a/examples/boltzmann_wealth_model_network/boltzmann_wealth_model_network/model.py +++ b/examples/boltzmann_wealth_model_network/boltzmann_wealth_model_network/model.py @@ -30,7 +30,7 @@ def __init__(self, num_agents=7, num_nodes=10): # Create agents for i in range(self.num_agents): a = MoneyAgent(i, self) - self.schedule.add(a) + # Add the agent to a random node self.grid.place_agent(a, list_of_random_nodes[i]) diff --git a/examples/caching_and_replay/model.py b/examples/caching_and_replay/model.py index 64a664c4..5de33d1a 100644 --- a/examples/caching_and_replay/model.py +++ b/examples/caching_and_replay/model.py @@ -86,7 +86,6 @@ def __init__( agent_type = 1 if self.random.random() < self.minority_pc else 0 agent = SchellingAgent(self.next_id(), self, agent_type) self.grid.place_agent(agent, pos) - self.schedule.add(agent) self.datacollector.collect(self) diff --git a/examples/charts/charts/model.py b/examples/charts/charts/model.py index 9ad0d137..2a739728 100644 --- a/examples/charts/charts/model.py +++ b/examples/charts/charts/model.py @@ -129,8 +129,6 @@ def __init__( p = Person(i, self, True, self.bank, self.rich_threshold) # place the Person object on the grid at coordinates (x, y) self.grid.place_agent(p, (x, y)) - # add the Person object to the model schedule - self.schedule.add(p) self.running = True self.datacollector.collect(self) diff --git a/examples/color_patches/color_patches/model.py b/examples/color_patches/color_patches/model.py index 8588ce41..d8787304 100644 --- a/examples/color_patches/color_patches/model.py +++ b/examples/color_patches/color_patches/model.py @@ -84,7 +84,6 @@ def __init__(self, width=20, height=20): (row, col), self, ColorCell.OPINIONS[self.random.randrange(0, 16)] ) self._grid.place_agent(cell, (row, col)) - self.schedule.add(cell) self.running = True diff --git a/examples/conways_game_of_life/conways_game_of_life/model.py b/examples/conways_game_of_life/conways_game_of_life/model.py index 387de9ec..76d9ca9f 100644 --- a/examples/conways_game_of_life/conways_game_of_life/model.py +++ b/examples/conways_game_of_life/conways_game_of_life/model.py @@ -24,7 +24,6 @@ def __init__(self, width=50, height=50): if self.random.random() < 0.1: cell.state = cell.ALIVE self.grid.place_agent(cell, (x, y)) - self.schedule.add(cell) self.running = True diff --git a/examples/el_farol/el_farol/model.py b/examples/el_farol/el_farol/model.py index c4e382fc..5e4be6d5 100644 --- a/examples/el_farol/el_farol/model.py +++ b/examples/el_farol/el_farol/model.py @@ -24,8 +24,8 @@ def __init__( self.history = np.random.randint(0, 100, size=memory_size * 2).tolist() self.attendance = self.history[-1] for i in range(self.num_agents): - a = BarCustomer(i, self, memory_size, crowd_threshold, num_strategies) - self.schedule.add(a) + BarCustomer(i, self, memory_size, crowd_threshold, num_strategies) + self.datacollector = mesa.DataCollector( model_reporters={"Customers": "attendance"}, agent_reporters={"Utility": "utility", "Attendance": "attend"}, diff --git a/examples/epstein_civil_violence/epstein_civil_violence/model.py b/examples/epstein_civil_violence/epstein_civil_violence/model.py index 90ae1315..70b3a841 100644 --- a/examples/epstein_civil_violence/epstein_civil_violence/model.py +++ b/examples/epstein_civil_violence/epstein_civil_violence/model.py @@ -86,7 +86,7 @@ def __init__( cop = Cop(unique_id, self, (x, y), vision=self.cop_vision) unique_id += 1 self.grid[x][y] = cop - self.schedule.add(cop) + elif self.random.random() < (self.cop_density + self.citizen_density): citizen = Citizen( unique_id, @@ -100,7 +100,6 @@ def __init__( ) unique_id += 1 self.grid[x][y] = citizen - self.schedule.add(citizen) self.running = True self.datacollector.collect(self) diff --git a/examples/forest_fire/Forest Fire Model.ipynb b/examples/forest_fire/Forest Fire Model.ipynb index e0d84a8f..49301171 100644 --- a/examples/forest_fire/Forest Fire Model.ipynb +++ b/examples/forest_fire/Forest Fire Model.ipynb @@ -149,7 +149,6 @@ " if x == 0:\n", " new_tree.condition = \"On Fire\"\n", " self.grid[x][y] = new_tree\n", - " self.schedule.add(new_tree)\n", " self.running = True\n", "\n", " def step(self):\n", diff --git a/examples/forest_fire/forest_fire/model.py b/examples/forest_fire/forest_fire/model.py index a27452d3..33bac16f 100644 --- a/examples/forest_fire/forest_fire/model.py +++ b/examples/forest_fire/forest_fire/model.py @@ -38,7 +38,6 @@ def __init__(self, width=100, height=100, density=0.65): if x == 0: new_tree.condition = "On Fire" self.grid.place_agent(new_tree, (x, y)) - self.schedule.add(new_tree) self.running = True self.datacollector.collect(self) diff --git a/examples/hex_snowflake/hex_snowflake/model.py b/examples/hex_snowflake/hex_snowflake/model.py index c898a2ec..349d41b0 100644 --- a/examples/hex_snowflake/hex_snowflake/model.py +++ b/examples/hex_snowflake/hex_snowflake/model.py @@ -21,7 +21,6 @@ def __init__(self, width=50, height=50): for contents, pos in self.grid.coord_iter(): cell = Cell(pos, self) self.grid.place_agent(cell, pos) - self.schedule.add(cell) # activate the center(ish) cell. centerishCell = self.grid[width // 2][height // 2] diff --git a/examples/hotelling_law/hotelling_law/model.py b/examples/hotelling_law/hotelling_law/model.py index 40c19b81..2cf1d9b5 100644 --- a/examples/hotelling_law/hotelling_law/model.py +++ b/examples/hotelling_law/hotelling_law/model.py @@ -188,7 +188,7 @@ def _initialize_agents(self): mobile_agents_assigned += 1 agent = StoreAgent(unique_id, self, can_move=can_move, strategy=strategy) - self.schedule.add(agent) + self.store_agents.add(agent) # Randomly place agents on the grid for a grid environment. @@ -200,7 +200,7 @@ def _initialize_agents(self): for i in range(self.num_consumers): # Ensure unique ID across all agents consumer = ConsumerAgent(self.num_agents + i, self) - self.schedule.add(consumer) + self.consumer_agents.add(consumer) # Place consumer randomly on the grid x = self.random.randrange(self.grid.width) diff --git a/examples/pd_grid/pd_grid/model.py b/examples/pd_grid/pd_grid/model.py index 448e4745..388379ad 100644 --- a/examples/pd_grid/pd_grid/model.py +++ b/examples/pd_grid/pd_grid/model.py @@ -39,7 +39,6 @@ def __init__( for y in range(height): agent = PDAgent(self.next_id(), self) self.grid.place_agent(agent, (x, y)) - self.schedule.add(agent) self.datacollector = mesa.DataCollector( { diff --git a/examples/schelling/model.py b/examples/schelling/model.py index 5c3c15df..e271bcb2 100644 --- a/examples/schelling/model.py +++ b/examples/schelling/model.py @@ -84,7 +84,6 @@ def __init__( agent_type = 1 if self.random.random() < self.minority_pc else 0 agent = SchellingAgent(self.next_id(), self, agent_type) self.grid.place_agent(agent, pos) - self.schedule.add(agent) self.datacollector.collect(self) diff --git a/examples/shape_example/shape_example/model.py b/examples/shape_example/shape_example/model.py index 222064b0..85678bce 100644 --- a/examples/shape_example/shape_example/model.py +++ b/examples/shape_example/shape_example/model.py @@ -31,7 +31,7 @@ def make_walker_agents(self): if self.grid.is_cell_empty(pos): print(f"Creating agent {unique_id} at ({x}, {y})") a = Walker(unique_id, self, heading) - self.schedule.add(a) + self.grid.place_agent(a, pos) unique_id += 1 diff --git a/examples/sugarscape_cg/sugarscape_cg/model.py b/examples/sugarscape_cg/sugarscape_cg/model.py index 3aaa250d..3d61c197 100644 --- a/examples/sugarscape_cg/sugarscape_cg/model.py +++ b/examples/sugarscape_cg/sugarscape_cg/model.py @@ -53,7 +53,6 @@ def __init__(self, width=50, height=50, initial_population=100): sugar = Sugar(agent_id, self, max_sugar) agent_id += 1 self.grid.place_agent(sugar, (x, y)) - self.schedule.add(sugar) # Create agent: for i in range(self.initial_population): @@ -65,7 +64,6 @@ def __init__(self, width=50, height=50, initial_population=100): ssa = SsAgent(agent_id, self, False, sugar, metabolism, vision) agent_id += 1 self.grid.place_agent(ssa, (x, y)) - self.schedule.add(ssa) self.running = True self.datacollector.collect(self) diff --git a/examples/virus_on_network/virus_on_network/model.py b/examples/virus_on_network/virus_on_network/model.py index 65d23560..7c69bdcd 100644 --- a/examples/virus_on_network/virus_on_network/model.py +++ b/examples/virus_on_network/virus_on_network/model.py @@ -75,7 +75,7 @@ def __init__( self.recovery_chance, self.gain_resistance_chance, ) - self.schedule.add(a) + # Add the agent to the node self.grid.place_agent(a, node) diff --git a/examples/wolf_sheep/wolf_sheep/test_random_walk.py b/examples/wolf_sheep/wolf_sheep/test_random_walk.py index d2340fed..92bfdcd3 100644 --- a/examples/wolf_sheep/wolf_sheep/test_random_walk.py +++ b/examples/wolf_sheep/wolf_sheep/test_random_walk.py @@ -46,7 +46,7 @@ def __init__(self, width, height, agent_count): x = self.random.randrange(self.width) y = self.random.randrange(self.height) a = WalkerAgent(i, (x, y), self, True) - self.schedule.add(a) + self.grid.place_agent(a, (x, y)) def step(self): From 4b66a64684bd5b4d0cb54ee99d9d82ce4f894930 Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Sat, 17 Aug 2024 22:20:51 +0200 Subject: [PATCH 27/82] Custom schedule replacements --- examples/bank_reserves/bank_reserves/agents.py | 1 - examples/caching_and_replay/model.py | 2 +- examples/charts/charts/agents.py | 1 - examples/el_farol/el_farol/agents.py | 2 +- examples/el_farol/el_farol/model.py | 7 +++---- examples/forest_fire/Forest Fire Model.ipynb | 7 ++----- examples/hotelling_law/hotelling_law/model.py | 6 ++---- examples/schelling/model.py | 2 +- 8 files changed, 10 insertions(+), 18 deletions(-) diff --git a/examples/bank_reserves/bank_reserves/agents.py b/examples/bank_reserves/bank_reserves/agents.py index 5d81a65c..6ff9b8a8 100644 --- a/examples/bank_reserves/bank_reserves/agents.py +++ b/examples/bank_reserves/bank_reserves/agents.py @@ -173,7 +173,6 @@ def take_out_loan(self, amount): # increase the bank's outstanding loans self.bank.bank_loans += amount - # step is called for each agent in model.BankReservesModel.schedule.step() def step(self): # move to a cell in my Moore neighborhood self.random_move() diff --git a/examples/caching_and_replay/model.py b/examples/caching_and_replay/model.py index 5de33d1a..53b2a42c 100644 --- a/examples/caching_and_replay/model.py +++ b/examples/caching_and_replay/model.py @@ -98,5 +98,5 @@ def step(self): self.datacollector.collect(self) - if self.happy == self.schedule.get_agent_count(): + if self.happy == len(self.agents): self.running = False diff --git a/examples/charts/charts/agents.py b/examples/charts/charts/agents.py index 5d81a65c..6ff9b8a8 100644 --- a/examples/charts/charts/agents.py +++ b/examples/charts/charts/agents.py @@ -173,7 +173,6 @@ def take_out_loan(self, amount): # increase the bank's outstanding loans self.bank.bank_loans += amount - # step is called for each agent in model.BankReservesModel.schedule.step() def step(self): # move to a cell in my Moore neighborhood self.random_move() diff --git a/examples/el_farol/el_farol/agents.py b/examples/el_farol/el_farol/agents.py index 638269d7..77742d40 100644 --- a/examples/el_farol/el_farol/agents.py +++ b/examples/el_farol/el_farol/agents.py @@ -14,7 +14,7 @@ def __init__(self, unique_id, model, memory_size, crowd_threshold, num_strategie self.utility = 0 self.update_strategies() - def step(self): + def update_attendance(self): prediction = self.predict_attendance( self.best_strategy, self.model.history[-self.memory_size :] ) diff --git a/examples/el_farol/el_farol/model.py b/examples/el_farol/el_farol/model.py index 5e4be6d5..b2e4f8c7 100644 --- a/examples/el_farol/el_farol/model.py +++ b/examples/el_farol/el_farol/model.py @@ -34,10 +34,9 @@ def __init__( def step(self): self.datacollector.collect(self) self.attendance = 0 - self.agents.shuffle.do("step") + self.agents.shuffle().do("update_attendance") # We ensure that the length of history is constant # after each step. self.history.pop(0) - self.history.append(self.attendance) - for agent in self.schedule.agents: - agent.update_strategies() + self.history.append(self.update_attendance()) + self.agents.shuffle().do("update_strategies") diff --git a/examples/forest_fire/Forest Fire Model.ipynb b/examples/forest_fire/Forest Fire Model.ipynb index 49301171..a726e964 100644 --- a/examples/forest_fire/Forest Fire Model.ipynb +++ b/examples/forest_fire/Forest Fire Model.ipynb @@ -129,7 +129,6 @@ " density: What fraction of grid cells have a tree in them.\n", " \"\"\"\n", " # Set up model objects\n", - " self.schedule = RandomActivation(self)\n", " self.grid = Grid(width, height, torus=False)\n", " self.dc = DataCollector(\n", " {\n", @@ -155,7 +154,7 @@ " \"\"\"\n", " Advance the model by one step.\n", " \"\"\"\n", - " self.schedule.step()\n", + " self.agents.shuffle().do(\"step\")\n", " self.dc.collect(self)\n", " # Halt if no more fire\n", " if self.count_type(self, \"On Fire\") == 0:\n", @@ -338,9 +337,7 @@ "source": [ "# At the end of each model run, calculate the fraction of trees which are Burned Out\n", "model_reporter = {\n", - " \"BurnedOut\": lambda m: (\n", - " ForestFire.count_type(m, \"Burned Out\") / m.schedule.get_agent_count()\n", - " )\n", + " \"BurnedOut\": lambda m: (ForestFire.count_type(m, \"Burned Out\") / len(m.agents))\n", "}" ] }, diff --git a/examples/hotelling_law/hotelling_law/model.py b/examples/hotelling_law/hotelling_law/model.py index 2cf1d9b5..ffebe908 100644 --- a/examples/hotelling_law/hotelling_law/model.py +++ b/examples/hotelling_law/hotelling_law/model.py @@ -94,8 +94,6 @@ def __init__( self.consumer_preferences = consumer_preferences # Type of environment ('grid' or 'line'). self.environment_type = environment_type - # Scheduler to activate agents one at a time, in random order. - self.schedule = RandomActivation(self) # Initialize AgentSets for store and consumer agents self.store_agents = AgentSet([], self) self.consumer_agents = AgentSet([], self) @@ -218,8 +216,8 @@ def step(self): """Advance the model by one step.""" # Collect data for the current step. self.datacollector.collect(self) - # Activate the next agent in the schedule. - self.schedule.step() + # Activate all agents in random order + self.agents.shuffle().do("step") # Update market dynamics based on the latest actions self.recalculate_market_share() diff --git a/examples/schelling/model.py b/examples/schelling/model.py index e271bcb2..5aa71415 100644 --- a/examples/schelling/model.py +++ b/examples/schelling/model.py @@ -96,5 +96,5 @@ def step(self): self.datacollector.collect(self) - if self.happy == self.schedule.get_agent_count(): + if self.happy == len(self.agents): self.running = False From c0ea5a26924482bda56efa8cb08886e8a0e2ecfb Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Sat, 17 Aug 2024 22:25:58 +0200 Subject: [PATCH 28/82] Restore Sugerscape and Wolf-sheep schedulers These models use complex schedulers which warrant an separate PR. --- examples/sugarscape_cg/sugarscape_cg/model.py | 2 ++ examples/sugarscape_g1mt/tests.py | 2 +- examples/wolf_sheep/wolf_sheep/test_random_walk.py | 2 +- 3 files changed, 4 insertions(+), 2 deletions(-) diff --git a/examples/sugarscape_cg/sugarscape_cg/model.py b/examples/sugarscape_cg/sugarscape_cg/model.py index 3d61c197..3aaa250d 100644 --- a/examples/sugarscape_cg/sugarscape_cg/model.py +++ b/examples/sugarscape_cg/sugarscape_cg/model.py @@ -53,6 +53,7 @@ def __init__(self, width=50, height=50, initial_population=100): sugar = Sugar(agent_id, self, max_sugar) agent_id += 1 self.grid.place_agent(sugar, (x, y)) + self.schedule.add(sugar) # Create agent: for i in range(self.initial_population): @@ -64,6 +65,7 @@ def __init__(self, width=50, height=50, initial_population=100): ssa = SsAgent(agent_id, self, False, sugar, metabolism, vision) agent_id += 1 self.grid.place_agent(ssa, (x, y)) + self.schedule.add(ssa) self.running = True self.datacollector.collect(self) diff --git a/examples/sugarscape_g1mt/tests.py b/examples/sugarscape_g1mt/tests.py index 70deaecb..bcfcf739 100644 --- a/examples/sugarscape_g1mt/tests.py +++ b/examples/sugarscape_g1mt/tests.py @@ -40,7 +40,7 @@ def calculate_carrying_capacities(enable_trade): for vision_max in visions: model = SugarscapeG1mt(vision_max=vision_max, enable_trade=enable_trade) model.run_model(step_count=50) - carrying_capacities.append(len(model.agents_by_type[Trader])) + carrying_capacities.append(len(model.schedule.agents_by_type[Trader])) return carrying_capacities # Carrying capacity should increase over mean vision (figure IV-6). diff --git a/examples/wolf_sheep/wolf_sheep/test_random_walk.py b/examples/wolf_sheep/wolf_sheep/test_random_walk.py index 92bfdcd3..d2340fed 100644 --- a/examples/wolf_sheep/wolf_sheep/test_random_walk.py +++ b/examples/wolf_sheep/wolf_sheep/test_random_walk.py @@ -46,7 +46,7 @@ def __init__(self, width, height, agent_count): x = self.random.randrange(self.width) y = self.random.randrange(self.height) a = WalkerAgent(i, (x, y), self, True) - + self.schedule.add(a) self.grid.place_agent(a, (x, y)) def step(self): From 1fa7a25ac3fe5d54055aaab26ff30affd6089e75 Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Sat, 17 Aug 2024 22:32:49 +0200 Subject: [PATCH 29/82] Final fixes --- examples/el_farol/el_farol/model.py | 2 +- examples/forest_fire/Forest Fire Model.ipynb | 3 +-- examples/hotelling_law/hotelling_law/model.py | 1 - examples/pd_grid/pd_grid/model.py | 1 + examples/schelling/analysis.ipynb | 2 +- examples/schelling_experimental/analysis.ipynb | 2 +- 6 files changed, 5 insertions(+), 6 deletions(-) diff --git a/examples/el_farol/el_farol/model.py b/examples/el_farol/el_farol/model.py index b2e4f8c7..2eee8088 100644 --- a/examples/el_farol/el_farol/model.py +++ b/examples/el_farol/el_farol/model.py @@ -38,5 +38,5 @@ def step(self): # We ensure that the length of history is constant # after each step. self.history.pop(0) - self.history.append(self.update_attendance()) + self.history.append(self.attendance) self.agents.shuffle().do("update_strategies") diff --git a/examples/forest_fire/Forest Fire Model.ipynb b/examples/forest_fire/Forest Fire Model.ipynb index a726e964..28fc06f3 100644 --- a/examples/forest_fire/Forest Fire Model.ipynb +++ b/examples/forest_fire/Forest Fire Model.ipynb @@ -35,8 +35,7 @@ "from mesa import Agent, Model\n", "from mesa.batchrunner import BatchRunner\n", "from mesa.datacollection import DataCollector\n", - "from mesa.space import Grid\n", - "from mesa.time import RandomActivation" + "from mesa.space import Grid" ] }, { diff --git a/examples/hotelling_law/hotelling_law/model.py b/examples/hotelling_law/hotelling_law/model.py index ffebe908..dd1ad704 100644 --- a/examples/hotelling_law/hotelling_law/model.py +++ b/examples/hotelling_law/hotelling_law/model.py @@ -5,7 +5,6 @@ from mesa.agent import AgentSet from mesa.datacollection import DataCollector from mesa.space import MultiGrid -from mesa.time import RandomActivation from .agents import ConsumerAgent, StoreAgent diff --git a/examples/pd_grid/pd_grid/model.py b/examples/pd_grid/pd_grid/model.py index 388379ad..448e4745 100644 --- a/examples/pd_grid/pd_grid/model.py +++ b/examples/pd_grid/pd_grid/model.py @@ -39,6 +39,7 @@ def __init__( for y in range(height): agent = PDAgent(self.next_id(), self) self.grid.place_agent(agent, (x, y)) + self.schedule.add(agent) self.datacollector = mesa.DataCollector( { diff --git a/examples/schelling/analysis.ipynb b/examples/schelling/analysis.ipynb index c3c93651..50f382c6 100644 --- a/examples/schelling/analysis.ipynb +++ b/examples/schelling/analysis.ipynb @@ -328,7 +328,7 @@ " Find the % of agents that only have neighbors of their same type.\n", " \"\"\"\n", " segregated_agents = 0\n", - " for agent in model.agents:\n", + " for agent in model.schedule.agents:\n", " segregated = True\n", " for neighbor in model.grid.iter_neighbors(agent.pos, True):\n", " if neighbor.type != agent.type:\n", diff --git a/examples/schelling_experimental/analysis.ipynb b/examples/schelling_experimental/analysis.ipynb index c3c93651..50f382c6 100644 --- a/examples/schelling_experimental/analysis.ipynb +++ b/examples/schelling_experimental/analysis.ipynb @@ -328,7 +328,7 @@ " Find the % of agents that only have neighbors of their same type.\n", " \"\"\"\n", " segregated_agents = 0\n", - " for agent in model.agents:\n", + " for agent in model.schedule.agents:\n", " segregated = True\n", " for neighbor in model.grid.iter_neighbors(agent.pos, True):\n", " if neighbor.type != agent.type:\n", From 0c6366cb0d6bfa9dd23dc8e68a86a25bfd1f0738 Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Sat, 17 Aug 2024 23:08:09 +0200 Subject: [PATCH 30/82] bank_reserves/charts: Don't make Bank an Agent It doesn't have a step function and there is only one, so it shouldn't be an Agent, just an Python object. --- examples/bank_reserves/bank_reserves/agents.py | 9 +++------ examples/bank_reserves/bank_reserves/model.py | 2 +- examples/bank_reserves/batch_run.py | 4 ++-- examples/charts/charts/agents.py | 9 +++------ examples/charts/charts/model.py | 2 +- 5 files changed, 10 insertions(+), 16 deletions(-) diff --git a/examples/bank_reserves/bank_reserves/agents.py b/examples/bank_reserves/bank_reserves/agents.py index 6ff9b8a8..02a4562e 100644 --- a/examples/bank_reserves/bank_reserves/agents.py +++ b/examples/bank_reserves/bank_reserves/agents.py @@ -10,15 +10,12 @@ Northwestern University, Evanston, IL. """ -import mesa - from .random_walk import RandomWalker -class Bank(mesa.Agent): - def __init__(self, unique_id, model, reserve_percent=50): - # initialize the parent class with required parameters - super().__init__(unique_id, model) +class Bank: + def __init__(self, model, reserve_percent=50): + self.model = model # for tracking total value of loans outstanding self.bank_loans = 0 """percent of deposits the bank must keep in reserves - this is set via diff --git a/examples/bank_reserves/bank_reserves/model.py b/examples/bank_reserves/bank_reserves/model.py index 6e5fd3ee..f7aab4cb 100644 --- a/examples/bank_reserves/bank_reserves/model.py +++ b/examples/bank_reserves/bank_reserves/model.py @@ -136,7 +136,7 @@ def __init__( ) # create a single bank for the model - self.bank = Bank(1, self, self.reserve_percent) + self.bank = Bank(self, self.reserve_percent) # create people for the model according to number of people set by user for i in range(self.init_people): diff --git a/examples/bank_reserves/batch_run.py b/examples/bank_reserves/batch_run.py index 9562660f..9b06ce3c 100644 --- a/examples/bank_reserves/batch_run.py +++ b/examples/bank_reserves/batch_run.py @@ -148,8 +148,8 @@ def __init__( agent_reporters={"Wealth": "wealth"}, ) - # create a single bank for the model - self.bank = Bank(1, self, self.reserve_percent) + # create a single bank object for the model + self.bank = Bank(self, self.reserve_percent) # create people for the model according to number of people set by user for i in range(self.init_people): diff --git a/examples/charts/charts/agents.py b/examples/charts/charts/agents.py index 6ff9b8a8..02a4562e 100644 --- a/examples/charts/charts/agents.py +++ b/examples/charts/charts/agents.py @@ -10,15 +10,12 @@ Northwestern University, Evanston, IL. """ -import mesa - from .random_walk import RandomWalker -class Bank(mesa.Agent): - def __init__(self, unique_id, model, reserve_percent=50): - # initialize the parent class with required parameters - super().__init__(unique_id, model) +class Bank: + def __init__(self, model, reserve_percent=50): + self.model = model # for tracking total value of loans outstanding self.bank_loans = 0 """percent of deposits the bank must keep in reserves - this is set via diff --git a/examples/charts/charts/model.py b/examples/charts/charts/model.py index 2a739728..616cf8be 100644 --- a/examples/charts/charts/model.py +++ b/examples/charts/charts/model.py @@ -119,7 +119,7 @@ def __init__( ) # create a single bank for the model - self.bank = Bank(1, self, self.reserve_percent) + self.bank = Bank(self, self.reserve_percent) # create people for the model according to number of people set by user for i in range(self.init_people): From 0ebc4d11711eb59480942d24dd13e9a744744704 Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Sun, 18 Aug 2024 10:36:32 +0200 Subject: [PATCH 31/82] Add docstring note that Bank is a regular class, not an Agent --- examples/bank_reserves/bank_reserves/agents.py | 6 ++++++ examples/charts/charts/agents.py | 6 ++++++ 2 files changed, 12 insertions(+) diff --git a/examples/bank_reserves/bank_reserves/agents.py b/examples/bank_reserves/bank_reserves/agents.py index 02a4562e..1d561d5b 100644 --- a/examples/bank_reserves/bank_reserves/agents.py +++ b/examples/bank_reserves/bank_reserves/agents.py @@ -14,6 +14,12 @@ class Bank: + """Note that the Bank class is not a Mesa Agent, but just a regular Python + class. This is because there is only one bank in this model, and it does not + use any Mesa-specific features like the scheduler or the grid, and doesn't + have a step method. It is just used to keep track of the bank's reserves and + the amount it can loan out, for Person agents to interact with.""" + def __init__(self, model, reserve_percent=50): self.model = model # for tracking total value of loans outstanding diff --git a/examples/charts/charts/agents.py b/examples/charts/charts/agents.py index 02a4562e..1d561d5b 100644 --- a/examples/charts/charts/agents.py +++ b/examples/charts/charts/agents.py @@ -14,6 +14,12 @@ class Bank: + """Note that the Bank class is not a Mesa Agent, but just a regular Python + class. This is because there is only one bank in this model, and it does not + use any Mesa-specific features like the scheduler or the grid, and doesn't + have a step method. It is just used to keep track of the bank's reserves and + the amount it can loan out, for Person agents to interact with.""" + def __init__(self, model, reserve_percent=50): self.model = model # for tracking total value of loans outstanding From 43622b960cb1f60d2a71d8e16010c47d047d2b6d Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Thu, 22 Aug 2024 15:13:51 +0200 Subject: [PATCH 32/82] Revert PR #161: Replace schedulers with AgentSet functionality (#170) This commit reverts PR #161 https://github.com/projectmesa/mesa-examples/pull/161 That PR assumed that time advancement would be done automatically, like proposed in https://github.com/projectmesa/mesa/pull/2223 We encountered some underlying issues with time, which we couldn't resolve in time. --- .../bank_reserves/bank_reserves/agents.py | 16 ++++++------- examples/bank_reserves/bank_reserves/model.py | 22 ++++++++++------- examples/bank_reserves/batch_run.py | 24 +++++++++++-------- examples/boid_flockers/Flocker Test.ipynb | 2 +- .../boid_flockers/SimpleContinuousModule.py | 2 +- examples/boid_flockers/boid_flockers/model.py | 5 ++-- .../boltzmann_wealth_model/model.py | 8 +++---- .../model.py | 8 +++---- .../boltzmann_wealth_model_network/model.py | 8 +++---- examples/caching_and_replay/model.py | 6 +++-- examples/charts/charts/agents.py | 16 ++++++------- examples/charts/charts/model.py | 22 ++++++++++------- examples/color_patches/color_patches/model.py | 21 ++++++++++------ .../conways_game_of_life/cell.py | 4 ++-- .../conways_game_of_life/model.py | 17 +++++++++---- examples/el_farol/el_farol/agents.py | 2 +- examples/el_farol/el_farol/model.py | 10 ++++---- .../epstein_civil_violence/model.py | 13 +++++----- examples/forest_fire/Forest Fire Model.ipynb | 13 ++++++---- examples/forest_fire/forest_fire/model.py | 7 +++--- examples/hex_snowflake/hex_snowflake/cell.py | 6 ++--- examples/hex_snowflake/hex_snowflake/model.py | 16 +++++++++---- examples/hotelling_law/app.py | 14 ++++++----- .../hotelling_law/hotelling_law/agents.py | 2 +- examples/hotelling_law/hotelling_law/model.py | 11 +++++---- examples/schelling/model.py | 6 +++-- examples/shape_example/shape_example/model.py | 6 ++--- .../virus_on_network/model.py | 6 ++--- 28 files changed, 170 insertions(+), 123 deletions(-) diff --git a/examples/bank_reserves/bank_reserves/agents.py b/examples/bank_reserves/bank_reserves/agents.py index 1d561d5b..5d81a65c 100644 --- a/examples/bank_reserves/bank_reserves/agents.py +++ b/examples/bank_reserves/bank_reserves/agents.py @@ -10,18 +10,15 @@ Northwestern University, Evanston, IL. """ -from .random_walk import RandomWalker +import mesa +from .random_walk import RandomWalker -class Bank: - """Note that the Bank class is not a Mesa Agent, but just a regular Python - class. This is because there is only one bank in this model, and it does not - use any Mesa-specific features like the scheduler or the grid, and doesn't - have a step method. It is just used to keep track of the bank's reserves and - the amount it can loan out, for Person agents to interact with.""" - def __init__(self, model, reserve_percent=50): - self.model = model +class Bank(mesa.Agent): + def __init__(self, unique_id, model, reserve_percent=50): + # initialize the parent class with required parameters + super().__init__(unique_id, model) # for tracking total value of loans outstanding self.bank_loans = 0 """percent of deposits the bank must keep in reserves - this is set via @@ -176,6 +173,7 @@ def take_out_loan(self, amount): # increase the bank's outstanding loans self.bank.bank_loans += amount + # step is called for each agent in model.BankReservesModel.schedule.step() def step(self): # move to a cell in my Moore neighborhood self.random_move() diff --git a/examples/bank_reserves/bank_reserves/model.py b/examples/bank_reserves/bank_reserves/model.py index f7aab4cb..421854fb 100644 --- a/examples/bank_reserves/bank_reserves/model.py +++ b/examples/bank_reserves/bank_reserves/model.py @@ -26,14 +26,14 @@ def get_num_rich_agents(model): """return number of rich agents""" - rich_agents = [a for a in model.agents if a.savings > model.rich_threshold] + rich_agents = [a for a in model.schedule.agents if a.savings > model.rich_threshold] return len(rich_agents) def get_num_poor_agents(model): """return number of poor agents""" - poor_agents = [a for a in model.agents if a.loans > 10] + poor_agents = [a for a in model.schedule.agents if a.loans > 10] return len(poor_agents) @@ -41,7 +41,9 @@ def get_num_mid_agents(model): """return number of middle class agents""" mid_agents = [ - a for a in model.agents if a.loans < 10 and a.savings < model.rich_threshold + a + for a in model.schedule.agents + if a.loans < 10 and a.savings < model.rich_threshold ] return len(mid_agents) @@ -49,7 +51,7 @@ def get_num_mid_agents(model): def get_total_savings(model): """sum of all agents' savings""" - agent_savings = [a.savings for a in model.agents] + agent_savings = [a.savings for a in model.schedule.agents] # return the sum of agents' savings return np.sum(agent_savings) @@ -57,7 +59,7 @@ def get_total_savings(model): def get_total_wallets(model): """sum of amounts of all agents' wallets""" - agent_wallets = [a.wallet for a in model.agents] + agent_wallets = [a.wallet for a in model.schedule.agents] # return the sum of all agents' wallets return np.sum(agent_wallets) @@ -73,7 +75,7 @@ def get_total_money(model): def get_total_loans(model): # list of amounts of all agents' loans - agent_loans = [a.loans for a in model.agents] + agent_loans = [a.loans for a in model.schedule.agents] # return sum of all agents' loans return np.sum(agent_loans) @@ -116,7 +118,7 @@ def __init__( self.height = height self.width = width self.init_people = init_people - + self.schedule = mesa.time.RandomActivation(self) self.grid = mesa.space.MultiGrid(self.width, self.height, torus=True) # rich_threshold is the amount of savings a person needs to be considered "rich" self.rich_threshold = rich_threshold @@ -136,7 +138,7 @@ def __init__( ) # create a single bank for the model - self.bank = Bank(self, self.reserve_percent) + self.bank = Bank(1, self, self.reserve_percent) # create people for the model according to number of people set by user for i in range(self.init_people): @@ -146,13 +148,15 @@ def __init__( p = Person(i, self, True, self.bank, self.rich_threshold) # place the Person object on the grid at coordinates (x, y) self.grid.place_agent(p, (x, y)) + # add the Person object to the model schedule + self.schedule.add(p) self.running = True self.datacollector.collect(self) def step(self): # tell all the agents in the model to run their step function - self.agents.shuffle().do("step") + self.schedule.step() # collect data self.datacollector.collect(self) diff --git a/examples/bank_reserves/batch_run.py b/examples/bank_reserves/batch_run.py index 9b06ce3c..4a0115bb 100644 --- a/examples/bank_reserves/batch_run.py +++ b/examples/bank_reserves/batch_run.py @@ -37,7 +37,7 @@ def get_num_rich_agents(model): """list of rich agents""" - rich_agents = [a for a in model.agents if a.savings > model.rich_threshold] + rich_agents = [a for a in model.schedule.agents if a.savings > model.rich_threshold] # return number of rich agents return len(rich_agents) @@ -45,7 +45,7 @@ def get_num_rich_agents(model): def get_num_poor_agents(model): """list of poor agents""" - poor_agents = [a for a in model.agents if a.loans > 10] + poor_agents = [a for a in model.schedule.agents if a.loans > 10] # return number of poor agents return len(poor_agents) @@ -54,7 +54,9 @@ def get_num_mid_agents(model): """list of middle class agents""" mid_agents = [ - a for a in model.agents if a.loans < 10 and a.savings < model.rich_threshold + a + for a in model.schedule.agents + if a.loans < 10 and a.savings < model.rich_threshold ] # return number of middle class agents return len(mid_agents) @@ -63,7 +65,7 @@ def get_num_mid_agents(model): def get_total_savings(model): """list of amounts of all agents' savings""" - agent_savings = [a.savings for a in model.agents] + agent_savings = [a.savings for a in model.schedule.agents] # return the sum of agents' savings return np.sum(agent_savings) @@ -71,7 +73,7 @@ def get_total_savings(model): def get_total_wallets(model): """list of amounts of all agents' wallets""" - agent_wallets = [a.wallet for a in model.agents] + agent_wallets = [a.wallet for a in model.schedule.agents] # return the sum of all agents' wallets return np.sum(agent_wallets) @@ -89,7 +91,7 @@ def get_total_money(model): def get_total_loans(model): """list of amounts of all agents' loans""" - agent_loans = [a.loans for a in model.agents] + agent_loans = [a.loans for a in model.schedule.agents] # return sum of all agents' loans return np.sum(agent_loans) @@ -127,7 +129,7 @@ def __init__( self.height = height self.width = width self.init_people = init_people - + self.schedule = mesa.time.RandomActivation(self) self.grid = mesa.space.MultiGrid(self.width, self.height, torus=True) # rich_threshold is the amount of savings a person needs to be considered "rich" self.rich_threshold = rich_threshold @@ -148,8 +150,8 @@ def __init__( agent_reporters={"Wealth": "wealth"}, ) - # create a single bank object for the model - self.bank = Bank(self, self.reserve_percent) + # create a single bank for the model + self.bank = Bank(1, self, self.reserve_percent) # create people for the model according to number of people set by user for i in range(self.init_people): @@ -160,6 +162,8 @@ def __init__( p = Person(i, (x, y), self, True, self.bank, self.rich_threshold) # place the Person object on the grid at coordinates (x, y) self.grid.place_agent(p, (x, y)) + # add the Person object to the model schedule + self.schedule.add(p) self.running = True @@ -167,7 +171,7 @@ def step(self): # collect data self.datacollector.collect(self) # tell all the agents in the model to run their step function - self.agents.shuffle().do("step") + self.schedule.step() def run_model(self): for i in range(self.run_time): diff --git a/examples/boid_flockers/Flocker Test.ipynb b/examples/boid_flockers/Flocker Test.ipynb index c757f3a8..82ecc47b 100644 --- a/examples/boid_flockers/Flocker Test.ipynb +++ b/examples/boid_flockers/Flocker Test.ipynb @@ -25,7 +25,7 @@ "def draw_boids(model):\n", " x_vals = []\n", " y_vals = []\n", - " for boid in model.agents:\n", + " for boid in model.schedule.agents:\n", " x, y = boid.pos\n", " x_vals.append(x)\n", " y_vals.append(y)\n", diff --git a/examples/boid_flockers/boid_flockers/SimpleContinuousModule.py b/examples/boid_flockers/boid_flockers/SimpleContinuousModule.py index ec670d7a..42b3e9dd 100644 --- a/examples/boid_flockers/boid_flockers/SimpleContinuousModule.py +++ b/examples/boid_flockers/boid_flockers/SimpleContinuousModule.py @@ -18,7 +18,7 @@ def __init__(self, portrayal_method=None, canvas_height=500, canvas_width=500): def render(self, model): space_state = [] - for obj in model.agents: + for obj in model.schedule.agents: portrayal = self.portrayal_method(obj) x, y = obj.pos x = (x - model.space.x_min) / (model.space.x_max - model.space.x_min) diff --git a/examples/boid_flockers/boid_flockers/model.py b/examples/boid_flockers/boid_flockers/model.py index 6b032c33..8ddfc11a 100644 --- a/examples/boid_flockers/boid_flockers/model.py +++ b/examples/boid_flockers/boid_flockers/model.py @@ -120,7 +120,7 @@ def __init__( self.vision = vision self.speed = speed self.separation = separation - + self.schedule = mesa.time.RandomActivation(self) self.space = mesa.space.ContinuousSpace(width, height, True) self.factors = {"cohere": cohere, "separate": separate, "match": match} self.make_agents() @@ -144,6 +144,7 @@ def make_agents(self): **self.factors, ) self.space.place_agent(boid, pos) + self.schedule.add(boid) def step(self): - self.agents.shuffle().do("step") + self.schedule.step() diff --git a/examples/boltzmann_wealth_model/boltzmann_wealth_model/model.py b/examples/boltzmann_wealth_model/boltzmann_wealth_model/model.py index c34d0937..11a3e958 100644 --- a/examples/boltzmann_wealth_model/boltzmann_wealth_model/model.py +++ b/examples/boltzmann_wealth_model/boltzmann_wealth_model/model.py @@ -2,7 +2,7 @@ def compute_gini(model): - agent_wealths = [agent.wealth for agent in model.agents] + agent_wealths = [agent.wealth for agent in model.schedule.agents] x = sorted(agent_wealths) N = model.num_agents B = sum(xi * (N - i) for i, xi in enumerate(x)) / (N * sum(x)) @@ -21,14 +21,14 @@ def __init__(self, N=100, width=10, height=10): super().__init__() self.num_agents = N self.grid = mesa.space.MultiGrid(width, height, True) - + self.schedule = mesa.time.RandomActivation(self) self.datacollector = mesa.DataCollector( model_reporters={"Gini": compute_gini}, agent_reporters={"Wealth": "wealth"} ) # Create agents for i in range(self.num_agents): a = MoneyAgent(i, self) - + self.schedule.add(a) # Add the agent to a random grid cell x = self.random.randrange(self.grid.width) y = self.random.randrange(self.grid.height) @@ -38,7 +38,7 @@ def __init__(self, N=100, width=10, height=10): self.datacollector.collect(self) def step(self): - self.agents.shuffle().do("step") + self.schedule.step() # collect data self.datacollector.collect(self) diff --git a/examples/boltzmann_wealth_model_experimental/model.py b/examples/boltzmann_wealth_model_experimental/model.py index c34d0937..11a3e958 100644 --- a/examples/boltzmann_wealth_model_experimental/model.py +++ b/examples/boltzmann_wealth_model_experimental/model.py @@ -2,7 +2,7 @@ def compute_gini(model): - agent_wealths = [agent.wealth for agent in model.agents] + agent_wealths = [agent.wealth for agent in model.schedule.agents] x = sorted(agent_wealths) N = model.num_agents B = sum(xi * (N - i) for i, xi in enumerate(x)) / (N * sum(x)) @@ -21,14 +21,14 @@ def __init__(self, N=100, width=10, height=10): super().__init__() self.num_agents = N self.grid = mesa.space.MultiGrid(width, height, True) - + self.schedule = mesa.time.RandomActivation(self) self.datacollector = mesa.DataCollector( model_reporters={"Gini": compute_gini}, agent_reporters={"Wealth": "wealth"} ) # Create agents for i in range(self.num_agents): a = MoneyAgent(i, self) - + self.schedule.add(a) # Add the agent to a random grid cell x = self.random.randrange(self.grid.width) y = self.random.randrange(self.grid.height) @@ -38,7 +38,7 @@ def __init__(self, N=100, width=10, height=10): self.datacollector.collect(self) def step(self): - self.agents.shuffle().do("step") + self.schedule.step() # collect data self.datacollector.collect(self) diff --git a/examples/boltzmann_wealth_model_network/boltzmann_wealth_model_network/model.py b/examples/boltzmann_wealth_model_network/boltzmann_wealth_model_network/model.py index 73776e36..d7b43374 100644 --- a/examples/boltzmann_wealth_model_network/boltzmann_wealth_model_network/model.py +++ b/examples/boltzmann_wealth_model_network/boltzmann_wealth_model_network/model.py @@ -3,7 +3,7 @@ def compute_gini(model): - agent_wealths = [agent.wealth for agent in model.agents] + agent_wealths = [agent.wealth for agent in model.schedule.agents] x = sorted(agent_wealths) N = model.num_agents B = sum(xi * (N - i) for i, xi in enumerate(x)) / (N * sum(x)) @@ -19,7 +19,7 @@ def __init__(self, num_agents=7, num_nodes=10): self.num_nodes = num_nodes if num_nodes >= self.num_agents else self.num_agents self.G = nx.erdos_renyi_graph(n=self.num_nodes, p=0.5) self.grid = mesa.space.NetworkGrid(self.G) - + self.schedule = mesa.time.RandomActivation(self) self.datacollector = mesa.DataCollector( model_reporters={"Gini": compute_gini}, agent_reporters={"Wealth": lambda _: _.wealth}, @@ -30,7 +30,7 @@ def __init__(self, num_agents=7, num_nodes=10): # Create agents for i in range(self.num_agents): a = MoneyAgent(i, self) - + self.schedule.add(a) # Add the agent to a random node self.grid.place_agent(a, list_of_random_nodes[i]) @@ -38,7 +38,7 @@ def __init__(self, num_agents=7, num_nodes=10): self.datacollector.collect(self) def step(self): - self.agents.shuffle().do("step") + self.schedule.step() # collect data self.datacollector.collect(self) diff --git a/examples/caching_and_replay/model.py b/examples/caching_and_replay/model.py index 53b2a42c..8b04368b 100644 --- a/examples/caching_and_replay/model.py +++ b/examples/caching_and_replay/model.py @@ -70,6 +70,7 @@ def __init__( self.homophily = homophily self.radius = radius + self.schedule = mesa.time.RandomActivation(self) self.grid = mesa.space.SingleGrid(width, height, torus=True) self.happy = 0 @@ -86,6 +87,7 @@ def __init__( agent_type = 1 if self.random.random() < self.minority_pc else 0 agent = SchellingAgent(self.next_id(), self, agent_type) self.grid.place_agent(agent, pos) + self.schedule.add(agent) self.datacollector.collect(self) @@ -94,9 +96,9 @@ def step(self): Run one step of the model. """ self.happy = 0 # Reset counter of happy agents - self.agents.shuffle().do("step") + self.schedule.step() self.datacollector.collect(self) - if self.happy == len(self.agents): + if self.happy == self.schedule.get_agent_count(): self.running = False diff --git a/examples/charts/charts/agents.py b/examples/charts/charts/agents.py index 1d561d5b..5d81a65c 100644 --- a/examples/charts/charts/agents.py +++ b/examples/charts/charts/agents.py @@ -10,18 +10,15 @@ Northwestern University, Evanston, IL. """ -from .random_walk import RandomWalker +import mesa +from .random_walk import RandomWalker -class Bank: - """Note that the Bank class is not a Mesa Agent, but just a regular Python - class. This is because there is only one bank in this model, and it does not - use any Mesa-specific features like the scheduler or the grid, and doesn't - have a step method. It is just used to keep track of the bank's reserves and - the amount it can loan out, for Person agents to interact with.""" - def __init__(self, model, reserve_percent=50): - self.model = model +class Bank(mesa.Agent): + def __init__(self, unique_id, model, reserve_percent=50): + # initialize the parent class with required parameters + super().__init__(unique_id, model) # for tracking total value of loans outstanding self.bank_loans = 0 """percent of deposits the bank must keep in reserves - this is set via @@ -176,6 +173,7 @@ def take_out_loan(self, amount): # increase the bank's outstanding loans self.bank.bank_loans += amount + # step is called for each agent in model.BankReservesModel.schedule.step() def step(self): # move to a cell in my Moore neighborhood self.random_move() diff --git a/examples/charts/charts/model.py b/examples/charts/charts/model.py index 616cf8be..00b6239a 100644 --- a/examples/charts/charts/model.py +++ b/examples/charts/charts/model.py @@ -26,14 +26,14 @@ def get_num_rich_agents(model): """return number of rich agents""" - rich_agents = [a for a in model.agents if a.savings > model.rich_threshold] + rich_agents = [a for a in model.schedule.agents if a.savings > model.rich_threshold] return len(rich_agents) def get_num_poor_agents(model): """return number of poor agents""" - poor_agents = [a for a in model.agents if a.loans > 10] + poor_agents = [a for a in model.schedule.agents if a.loans > 10] return len(poor_agents) @@ -41,7 +41,9 @@ def get_num_mid_agents(model): """return number of middle class agents""" mid_agents = [ - a for a in model.agents if a.loans < 10 and a.savings < model.rich_threshold + a + for a in model.schedule.agents + if a.loans < 10 and a.savings < model.rich_threshold ] return len(mid_agents) @@ -49,7 +51,7 @@ def get_num_mid_agents(model): def get_total_savings(model): """sum of all agents' savings""" - agent_savings = [a.savings for a in model.agents] + agent_savings = [a.savings for a in model.schedule.agents] # return the sum of agents' savings return np.sum(agent_savings) @@ -57,7 +59,7 @@ def get_total_savings(model): def get_total_wallets(model): """sum of amounts of all agents' wallets""" - agent_wallets = [a.wallet for a in model.agents] + agent_wallets = [a.wallet for a in model.schedule.agents] # return the sum of all agents' wallets return np.sum(agent_wallets) @@ -73,7 +75,7 @@ def get_total_money(model): def get_total_loans(model): # list of amounts of all agents' loans - agent_loans = [a.loans for a in model.agents] + agent_loans = [a.loans for a in model.schedule.agents] # return sum of all agents' loans return np.sum(agent_loans) @@ -99,7 +101,7 @@ def __init__( self.height = height self.width = width self.init_people = init_people - + self.schedule = mesa.time.RandomActivation(self) self.grid = mesa.space.MultiGrid(self.width, self.height, torus=True) # rich_threshold is the amount of savings a person needs to be considered "rich" self.rich_threshold = rich_threshold @@ -119,7 +121,7 @@ def __init__( ) # create a single bank for the model - self.bank = Bank(self, self.reserve_percent) + self.bank = Bank(1, self, self.reserve_percent) # create people for the model according to number of people set by user for i in range(self.init_people): @@ -129,13 +131,15 @@ def __init__( p = Person(i, self, True, self.bank, self.rich_threshold) # place the Person object on the grid at coordinates (x, y) self.grid.place_agent(p, (x, y)) + # add the Person object to the model schedule + self.schedule.add(p) self.running = True self.datacollector.collect(self) def step(self): # tell all the agents in the model to run their step function - self.agents.shuffle().do("step") + self.schedule.step() # collect data self.datacollector.collect(self) diff --git a/examples/color_patches/color_patches/model.py b/examples/color_patches/color_patches/model.py index d8787304..4e69b965 100644 --- a/examples/color_patches/color_patches/model.py +++ b/examples/color_patches/color_patches/model.py @@ -36,7 +36,7 @@ def get_state(self): """Return the current state (OPINION) of this cell.""" return self._state - def determine_opinion(self): + def step(self): """ Determines the agent opinion for the next step by polling its neighbors The opinion is determined by the majority of the 8 neighbors' opinion @@ -54,7 +54,7 @@ def determine_opinion(self): self._next_state = self.random.choice(tied_opinions)[0] - def assume_opinion(self): + def advance(self): """ Set the state of the agent to the next state """ @@ -73,6 +73,7 @@ def __init__(self, width=20, height=20): """ super().__init__() self._grid = mesa.space.SingleGrid(width, height, torus=False) + self.schedule = mesa.time.SimultaneousActivation(self) # self._grid.coord_iter() # --> should really not return content + col + row @@ -84,17 +85,23 @@ def __init__(self, width=20, height=20): (row, col), self, ColorCell.OPINIONS[self.random.randrange(0, 16)] ) self._grid.place_agent(cell, (row, col)) + self.schedule.add(cell) self.running = True def step(self): """ - Perform the model step in two stages: - - First, all agents determine their next opinion based on their neighbors current opinions - - Then, all agents update their opinion to the next opinion + Advance the model one step. """ - self.agents.do("determine_opinion") - self.agents.do("assume_opinion") + self.schedule.step() + + # the following is a temporary fix for the framework classes accessing + # model attributes directly + # I don't think it should + # --> it imposes upon the model builder to use the attributes names that + # the framework expects. + # + # Traceback included in docstrings @property def grid(self): diff --git a/examples/conways_game_of_life/conways_game_of_life/cell.py b/examples/conways_game_of_life/conways_game_of_life/cell.py index d9e0e7ba..8639288d 100644 --- a/examples/conways_game_of_life/conways_game_of_life/cell.py +++ b/examples/conways_game_of_life/conways_game_of_life/cell.py @@ -24,7 +24,7 @@ def isAlive(self): def neighbors(self): return self.model.grid.iter_neighbors((self.x, self.y), True) - def determine_state(self): + def step(self): """ Compute if the cell will be dead or alive at the next tick. This is based on the number of alive or dead neighbors. The state is not @@ -46,7 +46,7 @@ def determine_state(self): if live_neighbors == 3: self._nextState = self.ALIVE - def assume_state(self): + def advance(self): """ Set the state to the new computed state -- computed in step(). """ diff --git a/examples/conways_game_of_life/conways_game_of_life/model.py b/examples/conways_game_of_life/conways_game_of_life/model.py index 76d9ca9f..f6c9637a 100644 --- a/examples/conways_game_of_life/conways_game_of_life/model.py +++ b/examples/conways_game_of_life/conways_game_of_life/model.py @@ -14,6 +14,15 @@ def __init__(self, width=50, height=50): Create a new playing area of (width, height) cells. """ super().__init__() + + # Set up the grid and schedule. + + # Use SimultaneousActivation which simulates all the cells + # computing their next state simultaneously. This needs to + # be done because each cell's next state depends on the current + # state of all its neighbors -- before they've changed. + self.schedule = mesa.time.SimultaneousActivation(self) + # Use a simple grid, where edges wrap around. self.grid = mesa.space.SingleGrid(width, height, torus=True) @@ -24,14 +33,12 @@ def __init__(self, width=50, height=50): if self.random.random() < 0.1: cell.state = cell.ALIVE self.grid.place_agent(cell, (x, y)) + self.schedule.add(cell) self.running = True def step(self): """ - Perform the model step in two stages: - - First, all cells assume their next state (whether they will be dead or alive) - - Then, all cells change state to their next state + Have the scheduler advance each cell by one step """ - self.agents.do("determine_state") - self.agents.do("assume_state") + self.schedule.step() diff --git a/examples/el_farol/el_farol/agents.py b/examples/el_farol/el_farol/agents.py index 77742d40..638269d7 100644 --- a/examples/el_farol/el_farol/agents.py +++ b/examples/el_farol/el_farol/agents.py @@ -14,7 +14,7 @@ def __init__(self, unique_id, model, memory_size, crowd_threshold, num_strategie self.utility = 0 self.update_strategies() - def update_attendance(self): + def step(self): prediction = self.predict_attendance( self.best_strategy, self.model.history[-self.memory_size :] ) diff --git a/examples/el_farol/el_farol/model.py b/examples/el_farol/el_farol/model.py index 2eee8088..c9a3d6c0 100644 --- a/examples/el_farol/el_farol/model.py +++ b/examples/el_farol/el_farol/model.py @@ -15,6 +15,7 @@ def __init__( super().__init__() self.running = True self.num_agents = N + self.schedule = mesa.time.RandomActivation(self) # Initialize the previous attendance randomly so the agents have a history # to work with from the start. @@ -24,8 +25,8 @@ def __init__( self.history = np.random.randint(0, 100, size=memory_size * 2).tolist() self.attendance = self.history[-1] for i in range(self.num_agents): - BarCustomer(i, self, memory_size, crowd_threshold, num_strategies) - + a = BarCustomer(i, self, memory_size, crowd_threshold, num_strategies) + self.schedule.add(a) self.datacollector = mesa.DataCollector( model_reporters={"Customers": "attendance"}, agent_reporters={"Utility": "utility", "Attendance": "attend"}, @@ -34,9 +35,10 @@ def __init__( def step(self): self.datacollector.collect(self) self.attendance = 0 - self.agents.shuffle().do("update_attendance") + self.schedule.step() # We ensure that the length of history is constant # after each step. self.history.pop(0) self.history.append(self.attendance) - self.agents.shuffle().do("update_strategies") + for agent in self.schedule.agents: + agent.update_strategies() diff --git a/examples/epstein_civil_violence/epstein_civil_violence/model.py b/examples/epstein_civil_violence/epstein_civil_violence/model.py index 70b3a841..6bce24eb 100644 --- a/examples/epstein_civil_violence/epstein_civil_violence/model.py +++ b/examples/epstein_civil_violence/epstein_civil_violence/model.py @@ -58,7 +58,7 @@ def __init__( self.movement = movement self.max_iters = max_iters self.iteration = 0 - + self.schedule = mesa.time.RandomActivation(self) self.grid = mesa.space.SingleGrid(width, height, torus=True) model_reporters = { @@ -86,7 +86,7 @@ def __init__( cop = Cop(unique_id, self, (x, y), vision=self.cop_vision) unique_id += 1 self.grid[x][y] = cop - + self.schedule.add(cop) elif self.random.random() < (self.cop_density + self.citizen_density): citizen = Citizen( unique_id, @@ -100,6 +100,7 @@ def __init__( ) unique_id += 1 self.grid[x][y] = citizen + self.schedule.add(citizen) self.running = True self.datacollector.collect(self) @@ -108,7 +109,7 @@ def step(self): """ Advance the model by one step and collect data. """ - self.agents.shuffle().do("step") + self.schedule.step() # collect data self.datacollector.collect(self) self.iteration += 1 @@ -121,7 +122,7 @@ def count_type_citizens(model, condition, exclude_jailed=True): Helper method to count agents by Quiescent/Active. """ count = 0 - for agent in model.agents: + for agent in model.schedule.agents: if agent.breed == "cop": continue if exclude_jailed and agent.jail_sentence > 0: @@ -136,7 +137,7 @@ def count_jailed(model): Helper method to count jailed agents. """ count = 0 - for agent in model.agents: + for agent in model.schedule.agents: if agent.breed == "citizen" and agent.jail_sentence > 0: count += 1 return count @@ -147,7 +148,7 @@ def count_cops(model): Helper method to count jailed agents. """ count = 0 - for agent in model.agents: + for agent in model.schedule.agents: if agent.breed == "cop": count += 1 return count diff --git a/examples/forest_fire/Forest Fire Model.ipynb b/examples/forest_fire/Forest Fire Model.ipynb index 28fc06f3..afe4142a 100644 --- a/examples/forest_fire/Forest Fire Model.ipynb +++ b/examples/forest_fire/Forest Fire Model.ipynb @@ -35,7 +35,8 @@ "from mesa import Agent, Model\n", "from mesa.batchrunner import BatchRunner\n", "from mesa.datacollection import DataCollector\n", - "from mesa.space import Grid" + "from mesa.space import Grid\n", + "from mesa.time import RandomActivation" ] }, { @@ -128,6 +129,7 @@ " density: What fraction of grid cells have a tree in them.\n", " \"\"\"\n", " # Set up model objects\n", + " self.schedule = RandomActivation(self)\n", " self.grid = Grid(width, height, torus=False)\n", " self.dc = DataCollector(\n", " {\n", @@ -147,13 +149,14 @@ " if x == 0:\n", " new_tree.condition = \"On Fire\"\n", " self.grid[x][y] = new_tree\n", + " self.schedule.add(new_tree)\n", " self.running = True\n", "\n", " def step(self):\n", " \"\"\"\n", " Advance the model by one step.\n", " \"\"\"\n", - " self.agents.shuffle().do(\"step\")\n", + " self.schedule.step()\n", " self.dc.collect(self)\n", " # Halt if no more fire\n", " if self.count_type(self, \"On Fire\") == 0:\n", @@ -165,7 +168,7 @@ " Helper method to count trees in a given condition in a given model.\n", " \"\"\"\n", " count = 0\n", - " for tree in model.agents:\n", + " for tree in model.schedule.agents:\n", " if tree.condition == tree_condition:\n", " count += 1\n", " return count" @@ -336,7 +339,9 @@ "source": [ "# At the end of each model run, calculate the fraction of trees which are Burned Out\n", "model_reporter = {\n", - " \"BurnedOut\": lambda m: (ForestFire.count_type(m, \"Burned Out\") / len(m.agents))\n", + " \"BurnedOut\": lambda m: (\n", + " ForestFire.count_type(m, \"Burned Out\") / m.schedule.get_agent_count()\n", + " )\n", "}" ] }, diff --git a/examples/forest_fire/forest_fire/model.py b/examples/forest_fire/forest_fire/model.py index 33bac16f..4b2d5b41 100644 --- a/examples/forest_fire/forest_fire/model.py +++ b/examples/forest_fire/forest_fire/model.py @@ -18,7 +18,7 @@ def __init__(self, width=100, height=100, density=0.65): """ super().__init__() # Set up model objects - + self.schedule = mesa.time.RandomActivation(self) self.grid = mesa.space.SingleGrid(width, height, torus=False) self.datacollector = mesa.DataCollector( @@ -38,6 +38,7 @@ def __init__(self, width=100, height=100, density=0.65): if x == 0: new_tree.condition = "On Fire" self.grid.place_agent(new_tree, (x, y)) + self.schedule.add(new_tree) self.running = True self.datacollector.collect(self) @@ -46,7 +47,7 @@ def step(self): """ Advance the model by one step. """ - self.agents.shuffle().do("step") + self.schedule.step() # collect data self.datacollector.collect(self) @@ -60,7 +61,7 @@ def count_type(model, tree_condition): Helper method to count trees in a given condition in a given model. """ count = 0 - for tree in model.agents: + for tree in model.schedule.agents: if tree.condition == tree_condition: count += 1 return count diff --git a/examples/hex_snowflake/hex_snowflake/cell.py b/examples/hex_snowflake/hex_snowflake/cell.py index 1c9c35df..a9fd64ec 100644 --- a/examples/hex_snowflake/hex_snowflake/cell.py +++ b/examples/hex_snowflake/hex_snowflake/cell.py @@ -29,7 +29,7 @@ def neighbors(self): def considered(self): return self.isConsidered is True - def determine_state(self): + def step(self): """ Compute if the cell will be dead or alive at the next tick. A dead cell will become alive if it has only one neighbor. The state is not @@ -53,8 +53,8 @@ def determine_state(self): for a in self.neighbors: a.isConsidered = True - def assume_state(self): + def advance(self): """ - Set the state to the new computed state + Set the state to the new computed state -- computed in step(). """ self.state = self._nextState diff --git a/examples/hex_snowflake/hex_snowflake/model.py b/examples/hex_snowflake/hex_snowflake/model.py index 349d41b0..329bfe11 100644 --- a/examples/hex_snowflake/hex_snowflake/model.py +++ b/examples/hex_snowflake/hex_snowflake/model.py @@ -14,6 +14,14 @@ def __init__(self, width=50, height=50): Create a new playing area of (width, height) cells. """ super().__init__() + # Set up the grid and schedule. + + # Use SimultaneousActivation which simulates all the cells + # computing their next state simultaneously. This needs to + # be done because each cell's next state depends on the current + # state of all its neighbors -- before they've changed. + self.schedule = mesa.time.SimultaneousActivation(self) + # Use a hexagonal grid, where edges wrap around. self.grid = mesa.space.HexSingleGrid(width, height, torus=True) @@ -21,6 +29,7 @@ def __init__(self, width=50, height=50): for contents, pos in self.grid.coord_iter(): cell = Cell(pos, self) self.grid.place_agent(cell, pos) + self.schedule.add(cell) # activate the center(ish) cell. centerishCell = self.grid[width // 2][height // 2] @@ -33,9 +42,6 @@ def __init__(self, width=50, height=50): def step(self): """ - Perform the model step in two stages: - - First, all cells assume their next state (whether they will be dead or alive) - - Then, all cells change state to their next state + Have the scheduler advance each cell by one step """ - self.agents.do("determine_state") - self.agents.do("assume_state") + self.schedule.step() diff --git a/examples/hotelling_law/app.py b/examples/hotelling_law/app.py index 3b1d8ef2..60c3dbca 100644 --- a/examples/hotelling_law/app.py +++ b/examples/hotelling_law/app.py @@ -121,7 +121,7 @@ def space_drawer(model, agent_portrayal): cell_store_contents = {} # Track store agents in each cell jitter_amount = 0.3 # Jitter for visual separation - for agent in model.agents: + for agent in model.schedule.agents: portrayal = agent_portrayal(agent) # Track store agents for cell coloring @@ -150,7 +150,7 @@ def space_drawer(model, agent_portrayal): ax.add_patch(rect) # Jittered scatter plot for all agents - for agent in model.agents: + for agent in model.schedule.agents: portrayal = agent_portrayal(agent) jitter_x = np.random.uniform(-jitter_amount, jitter_amount) + agent.pos[0] + 0.5 jitter_y = np.random.uniform(-jitter_amount, jitter_amount) + agent.pos[1] + 0.5 @@ -177,7 +177,9 @@ def make_market_share_and_price_chart(model): # Get store agents and sort them by their unique_id # to ensure consistent order - store_agents = [agent for agent in model.agents if isinstance(agent, StoreAgent)] + store_agents = [ + agent for agent in model.schedule.agents if isinstance(agent, StoreAgent) + ] store_agents_sorted = sorted(store_agents, key=lambda agent: agent.unique_id) # Now gather market shares, prices, and labels using the sorted list @@ -239,7 +241,7 @@ def make_price_changes_line_chart(model): # Retrieve agent colors based on their portrayal agent_colors = { f"Store_{agent.unique_id}_Price": agent_portrayal(agent)["color"] - for agent in model.agents + for agent in model.schedule.agents if isinstance(agent, StoreAgent) } @@ -275,7 +277,7 @@ def make_market_share_line_chart(model): # Retrieve agent colors based on their portrayal agent_colors = { f"Store_{agent.unique_id}_Market Share": agent_portrayal(agent)["color"] - for agent in model.agents + for agent in model.schedule.agents if isinstance(agent, StoreAgent) } @@ -311,7 +313,7 @@ def make_revenue_line_chart(model): # Retrieve agent colors based on their portrayal agent_colors = { f"Store_{agent.unique_id}_Revenue": agent_portrayal(agent)["color"] - for agent in model.agents + for agent in model.schedule.agents if isinstance(agent, StoreAgent) } diff --git a/examples/hotelling_law/hotelling_law/agents.py b/examples/hotelling_law/hotelling_law/agents.py index f4300711..62d8cc8d 100644 --- a/examples/hotelling_law/hotelling_law/agents.py +++ b/examples/hotelling_law/hotelling_law/agents.py @@ -119,7 +119,7 @@ def adjust_price(self): def identify_competitors(self): competitors = [] - for agent in self.model.agents: + for agent in self.model.schedule.agents: if isinstance(agent, StoreAgent) and agent.unique_id != self.unique_id: # Estimate market overlap as a measure of competition overlap = self.estimate_market_overlap(agent) diff --git a/examples/hotelling_law/hotelling_law/model.py b/examples/hotelling_law/hotelling_law/model.py index dd1ad704..40c19b81 100644 --- a/examples/hotelling_law/hotelling_law/model.py +++ b/examples/hotelling_law/hotelling_law/model.py @@ -5,6 +5,7 @@ from mesa.agent import AgentSet from mesa.datacollection import DataCollector from mesa.space import MultiGrid +from mesa.time import RandomActivation from .agents import ConsumerAgent, StoreAgent @@ -93,6 +94,8 @@ def __init__( self.consumer_preferences = consumer_preferences # Type of environment ('grid' or 'line'). self.environment_type = environment_type + # Scheduler to activate agents one at a time, in random order. + self.schedule = RandomActivation(self) # Initialize AgentSets for store and consumer agents self.store_agents = AgentSet([], self) self.consumer_agents = AgentSet([], self) @@ -185,7 +188,7 @@ def _initialize_agents(self): mobile_agents_assigned += 1 agent = StoreAgent(unique_id, self, can_move=can_move, strategy=strategy) - + self.schedule.add(agent) self.store_agents.add(agent) # Randomly place agents on the grid for a grid environment. @@ -197,7 +200,7 @@ def _initialize_agents(self): for i in range(self.num_consumers): # Ensure unique ID across all agents consumer = ConsumerAgent(self.num_agents + i, self) - + self.schedule.add(consumer) self.consumer_agents.add(consumer) # Place consumer randomly on the grid x = self.random.randrange(self.grid.width) @@ -215,8 +218,8 @@ def step(self): """Advance the model by one step.""" # Collect data for the current step. self.datacollector.collect(self) - # Activate all agents in random order - self.agents.shuffle().do("step") + # Activate the next agent in the schedule. + self.schedule.step() # Update market dynamics based on the latest actions self.recalculate_market_share() diff --git a/examples/schelling/model.py b/examples/schelling/model.py index 5aa71415..dfba4efb 100644 --- a/examples/schelling/model.py +++ b/examples/schelling/model.py @@ -68,6 +68,7 @@ def __init__( self.homophily = homophily self.radius = radius + self.schedule = mesa.time.RandomActivation(self) self.grid = mesa.space.SingleGrid(width, height, torus=True) self.happy = 0 @@ -84,6 +85,7 @@ def __init__( agent_type = 1 if self.random.random() < self.minority_pc else 0 agent = SchellingAgent(self.next_id(), self, agent_type) self.grid.place_agent(agent, pos) + self.schedule.add(agent) self.datacollector.collect(self) @@ -92,9 +94,9 @@ def step(self): Run one step of the model. """ self.happy = 0 # Reset counter of happy agents - self.agents.shuffle().do("step") + self.schedule.step() self.datacollector.collect(self) - if self.happy == len(self.agents): + if self.happy == self.schedule.get_agent_count(): self.running = False diff --git a/examples/shape_example/shape_example/model.py b/examples/shape_example/shape_example/model.py index 85678bce..d1fdbe97 100644 --- a/examples/shape_example/shape_example/model.py +++ b/examples/shape_example/shape_example/model.py @@ -14,7 +14,7 @@ def __init__(self, N=2, width=20, height=10): self.N = N # num of agents self.headings = ((1, 0), (0, 1), (-1, 0), (0, -1)) # tuples are fast self.grid = mesa.space.SingleGrid(width, height, torus=False) - + self.schedule = mesa.time.RandomActivation(self) self.make_walker_agents() self.running = True @@ -31,9 +31,9 @@ def make_walker_agents(self): if self.grid.is_cell_empty(pos): print(f"Creating agent {unique_id} at ({x}, {y})") a = Walker(unique_id, self, heading) - + self.schedule.add(a) self.grid.place_agent(a, pos) unique_id += 1 def step(self): - self.agents.shuffle().do("step") + self.schedule.step() diff --git a/examples/virus_on_network/virus_on_network/model.py b/examples/virus_on_network/virus_on_network/model.py index 7c69bdcd..a33e7545 100644 --- a/examples/virus_on_network/virus_on_network/model.py +++ b/examples/virus_on_network/virus_on_network/model.py @@ -47,7 +47,7 @@ def __init__( prob = avg_node_degree / self.num_nodes self.G = nx.erdos_renyi_graph(n=self.num_nodes, p=prob) self.grid = mesa.space.NetworkGrid(self.G) - + self.schedule = mesa.time.RandomActivation(self) self.initial_outbreak_size = ( initial_outbreak_size if initial_outbreak_size <= num_nodes else num_nodes ) @@ -75,7 +75,7 @@ def __init__( self.recovery_chance, self.gain_resistance_chance, ) - + self.schedule.add(a) # Add the agent to the node self.grid.place_agent(a, node) @@ -96,7 +96,7 @@ def resistant_susceptible_ratio(self): return math.inf def step(self): - self.agents.shuffle().do("step") + self.schedule.step() # collect data self.datacollector.collect(self) From 2b944ff90f9a75418a083a870b1c2b55997c2490 Mon Sep 17 00:00:00 2001 From: Zak Jost Date: Sat, 24 Aug 2024 01:05:12 -0700 Subject: [PATCH 33/82] Ant Colony Optimization (#157) * adding first ant * Ant path building * Implementing stigmergy and ACO * TSP benchmark * refactor 01 * app fix * simple fix, isort, clean * lint * readme * adding default args to pass unit tests * addressing PR comments * comment fix 2 * PR comments iter --------- Co-authored-by: Zak Jost --- README.md | 4 + examples/aco_tsp/README.md | 55 +++++ examples/aco_tsp/aco_tsp/__init__.py | 0 examples/aco_tsp/aco_tsp/data/kroA100.tsp | 107 +++++++++ examples/aco_tsp/aco_tsp/model.py | 251 ++++++++++++++++++++++ examples/aco_tsp/app.py | 76 +++++++ examples/aco_tsp/run_tsp.py | 47 ++++ 7 files changed, 540 insertions(+) create mode 100644 examples/aco_tsp/README.md create mode 100644 examples/aco_tsp/aco_tsp/__init__.py create mode 100644 examples/aco_tsp/aco_tsp/data/kroA100.tsp create mode 100644 examples/aco_tsp/aco_tsp/model.py create mode 100644 examples/aco_tsp/app.py create mode 100644 examples/aco_tsp/run_tsp.py diff --git a/README.md b/README.md index 8d5303ca..07c42ea3 100644 --- a/README.md +++ b/README.md @@ -103,6 +103,10 @@ This is the same [Boltzmann Wealth](https://github.com/projectmesa/mesa-examples This model is based on the NetLogo [Virus on a Network](https://ccl.northwestern.edu/netlogo/models/VirusonaNetwork) model. +### [Ant System for Traveling Salesman Problem](https://github.com/projectmesa/mesa-examples/tree/main/examples/aco_tsp) + +This is based on Dorigo's Ant System "Swarm Intelligence" algorithm for generating solutions for the Traveling Salesman Problem. + ## Visualization Examples ### [Boltzmann Wealth Model (Experimental)](https://github.com/projectmesa/mesa-examples/tree/main/examples/boltzmann_wealth_model_experimental) diff --git a/examples/aco_tsp/README.md b/examples/aco_tsp/README.md new file mode 100644 index 00000000..a810738d --- /dev/null +++ b/examples/aco_tsp/README.md @@ -0,0 +1,55 @@ +Ant System for the Traveling Salesman Problem +======================== + +This is an implementation of the Ant System (AS) algorithm for solving the Traveling Salesman Problem (TSP). This example uses Mesa's Network Grid to model a TSP by representing cities as nodes and the possible paths between them as edges. Ants are then modeled as Mesa Agents that generate solutions by traversing the network using a "swarm intelligence" algorithm. + +When an ant is choosing its next city, it consider both a pheromone trail laid down by previous ants and a greedy heuristic based on city proximity. Pheromone evaporates over time and the strength of new pheromone trail laid by an ant is proportional to the quality of its TSP solution. This produces an emergent solution as the pheromone trail is continually updated and guides ants to high quality solutions as they are discovered. + +As this model runs, more pheromone will be laid on better solutions, and less traveled paths will have their pheromone evaporate. Ants will therefore reinforce good paths and abandon bad ones. Since decisions are ultimately samples from a weighted probability distribution, ants will sometimes explore unlikely paths, which might lead to new strong solutions that will be reflected in the updated pheromone levels. + +Here, we plot the best solution per iteration, the best solution so far in all iterations, and a graph representation where the edge width is proportional to the pheromone quantity. You will quickly see most of the edges in the fully connected graph disappear and a subset of the paths emerge as reasonable candidates in the final TSP solution. + +## How to run +To launch the interactive visualization, run `solara run app.py` in this directory. Tune the $\alpha$ and $\beta$ parameters to modify how much the pheromone and city proximity influence the ants' decisions, respectively. See the Algorithm details section for more. + +Alternatively, to run for a fixed number of iterations, run `python run_tsp.py` from this directory (and update that file with the parameters you want). + +## Algorithm details +Each agent/ant is initialized to a random city and constructs a solution by choosing a sequence of cities until all are visited, but none are visited more than once. Ants then deposit a "pheromone" signal on each path in their solution that is proportional to 1/d, where d is the final distance of the solution. This means shorter paths are given more pheromone. + +When an ant is on city $i$ and deciding which city to choose next, it samples randomly using the following probabilities of transition from city $i$ to $j$: + +$$ +p_{ij}^k = \frac{\tau_{ij}^\alpha \eta_{ij}^\beta}{\sum_{l \in J_i^k} \tau_{il}^\alpha \eta_{il}^\beta} +$$ + +where: +- $\tau_{ij}$ is the amount of path pheromone +- $\eta_{ij}$ the a greedy heuristic of desireability + - In this case, $\eta_{ij} = 1/d_{ij}$, where $d_{ij}$ is the distance between + cities +- $\alpha$ is a hyperparameter setting the importance of the pheromone +- $\beta$ a hyperparameter for setting the importance of the greedy heuristic +- And the denominator sum is over $J_i^k$, which is the set of cities not yet + visited by ant $k$. + +In other words, $\alpha$ and $\beta$ are tuned to set the relative importance of the phermone trail left by prior ants, and the greedy heuristic of 1-over-distance. + +## Data collection +The following data is collected and can be used for further analysis: +- Agent-level (individual ants, reset after each iteration) + - `tsp_distance`: TSP solution distance + - `tsp_solution`: TSP solution path +- Model-level (collection of ants over many iterations) + - `num_steps`: number of algorithm iterations, where one step means each ant generates a full TSP solution and the pheromone trail is updated + - `best_distance`: the distance of the best path found in all iterations + - This is the best solution yet and can only stay flat or improve over time + - `best_distance_iter`: the distance of the best path of all ants in a single iteration + - This changes over time as the ant colony explores different solutions and can be used to understand the explore/exploit trade-off. E.g., if the colony quickly finds a good solution, but then this value trends upward and stays high, then this suggests the ants are stuck re-inforcing a suboptimal solution. + - `best_path`: the best path found in all iterations + +## References +- Original paper: Dorigo, M., Maniezzo, V., & Colorni, A. (1996). Ant system: optimization by a +colony of cooperating agents. IEEE transactions on systems, man, and cybernetics, +part b (cybernetics), 26(1), 29-41. +- Video series of this code being implemented: https://www.youtube.com/playlist?list=PLSgGvve8UweGk2TLSO-q5OSH59Q00ZxCQ \ No newline at end of file diff --git a/examples/aco_tsp/aco_tsp/__init__.py b/examples/aco_tsp/aco_tsp/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/examples/aco_tsp/aco_tsp/data/kroA100.tsp b/examples/aco_tsp/aco_tsp/data/kroA100.tsp new file mode 100644 index 00000000..b9b48209 --- /dev/null +++ b/examples/aco_tsp/aco_tsp/data/kroA100.tsp @@ -0,0 +1,107 @@ +NAME: kroA100 +TYPE: TSP +COMMENT: 100-city problem A (Krolak/Felts/Nelson) +DIMENSION: 100 +EDGE_WEIGHT_TYPE : EUC_2D +NODE_COORD_SECTION +1 1380 939 +2 2848 96 +3 3510 1671 +4 457 334 +5 3888 666 +6 984 965 +7 2721 1482 +8 1286 525 +9 2716 1432 +10 738 1325 +11 1251 1832 +12 2728 1698 +13 3815 169 +14 3683 1533 +15 1247 1945 +16 123 862 +17 1234 1946 +18 252 1240 +19 611 673 +20 2576 1676 +21 928 1700 +22 53 857 +23 1807 1711 +24 274 1420 +25 2574 946 +26 178 24 +27 2678 1825 +28 1795 962 +29 3384 1498 +30 3520 1079 +31 1256 61 +32 1424 1728 +33 3913 192 +34 3085 1528 +35 2573 1969 +36 463 1670 +37 3875 598 +38 298 1513 +39 3479 821 +40 2542 236 +41 3955 1743 +42 1323 280 +43 3447 1830 +44 2936 337 +45 1621 1830 +46 3373 1646 +47 1393 1368 +48 3874 1318 +49 938 955 +50 3022 474 +51 2482 1183 +52 3854 923 +53 376 825 +54 2519 135 +55 2945 1622 +56 953 268 +57 2628 1479 +58 2097 981 +59 890 1846 +60 2139 1806 +61 2421 1007 +62 2290 1810 +63 1115 1052 +64 2588 302 +65 327 265 +66 241 341 +67 1917 687 +68 2991 792 +69 2573 599 +70 19 674 +71 3911 1673 +72 872 1559 +73 2863 558 +74 929 1766 +75 839 620 +76 3893 102 +77 2178 1619 +78 3822 899 +79 378 1048 +80 1178 100 +81 2599 901 +82 3416 143 +83 2961 1605 +84 611 1384 +85 3113 885 +86 2597 1830 +87 2586 1286 +88 161 906 +89 1429 134 +90 742 1025 +91 1625 1651 +92 1187 706 +93 1787 1009 +94 22 987 +95 3640 43 +96 3756 882 +97 776 392 +98 1724 1642 +99 198 1810 +100 3950 1558 +EOF \ No newline at end of file diff --git a/examples/aco_tsp/aco_tsp/model.py b/examples/aco_tsp/aco_tsp/model.py new file mode 100644 index 00000000..1683aee9 --- /dev/null +++ b/examples/aco_tsp/aco_tsp/model.py @@ -0,0 +1,251 @@ +from dataclasses import dataclass + +import mesa +import networkx as nx +import numpy as np + + +@dataclass +class NodeCoordinates: + city: int + x: float + y: float + + @classmethod + def from_line(cls, line: str): + city, x, y = line.split() + return cls(int(city), float(x), float(y)) + + +class TSPGraph: + def __init__(self, g: nx.Graph, pheromone_init: float = 1e-6): + self.g = g + self.pheromone_init = pheromone_init + self._add_edge_properties() + + @property + def pos(self): + return {k: v["pos"] for k, v in dict(self.g.nodes.data()).items()} + + @property + def cities(self): + return list(self.g.nodes) + + @property + def num_cities(self): + return len(self.g.nodes) + + def _add_edge_properties(self): + for u, v in self.g.edges(): + u_x, u_y = self.g.nodes[u]["pos"] + v_x, v_y = self.g.nodes[v]["pos"] + self.g[u][v]["distance"] = ((u_x - v_x) ** 2 + (u_y - v_y) ** 2) ** 0.5 + self.g[u][v]["visibility"] = 1 / self.g[u][v]["distance"] + self.g[u][v]["pheromone"] = self.pheromone_init + + @classmethod + def from_random(cls, num_cities: int, seed: int = 0) -> "TSPGraph": + g = nx.random_geometric_graph(num_cities, 2.0, seed=seed).to_directed() + + return cls(g) + + @classmethod + def from_tsp_file(cls, file_path: str) -> "TSPGraph": + with open(file_path) as f: + lines = f.readlines() + # Skip lines until reach the text "NODE_COORD_SECTION" + while lines.pop(0).strip() != "NODE_COORD_SECTION": + pass + + g = nx.Graph() + for line in lines: + if line.strip() == "EOF": + break + node_coordinate = NodeCoordinates.from_line(line) + + g.add_node( + node_coordinate.city, pos=(node_coordinate.x, node_coordinate.y) + ) + + # Add edges between all nodes to make a complete graph + for u in g.nodes(): + for v in g.nodes(): + if u == v: + continue + g.add_edge(u, v) + + return cls(g) + + +class AntTSP(mesa.Agent): + """ + An agent + """ + + def __init__(self, unique_id, model, alpha: float = 1.0, beta: float = 5.0): + """ + Customize the agent + """ + self.unique_id = unique_id + self.alpha = alpha + self.beta = beta + super().__init__(unique_id, model) + self._cities_visited = [] + self._traveled_distance = 0 + self.tsp_solution = [] + self.tsp_distance = 0 + + def calculate_pheromone_delta(self, q: float = 100): + results = {} + for idx, start_city in enumerate(self.tsp_solution[:-1]): + end_city = self.tsp_solution[idx + 1] + results[(start_city, end_city)] = q / self.tsp_distance + + return results + + def decide_next_city(self): + # Random + # new_city = self.random.choice(list(self.model.all_cities - set(self.cities_visited))) + # Choose closest city not yet visited + g = self.model.grid.G + current_city = self.pos + neighbors = list(g.neighbors(current_city)) + candidates = [n for n in neighbors if n not in self._cities_visited] + if len(candidates) == 0: + return current_city + + # p_ij(t) = 1/Z*[(tau_ij)**alpha * (1/distance)**beta] + results = [] + for city in candidates: + val = ( + (g[current_city][city]["pheromone"]) ** self.alpha + * (g[current_city][city]["visibility"]) ** self.beta + ) + results.append(val) + + results = np.array(results) + norm = results.sum() + results /= norm + + new_city = self.model.random.choices(candidates, weights=results)[0] + + return new_city + + def step(self): + """ + Modify this method to change what an individual agent will do during each step. + Can include logic based on neighbors states. + """ + g = self.model.grid.G + for idx in range(self.model.num_cities - 1): + # Pick a random city that isn't in the list of cities visited + current_city = self.pos + new_city = self.decide_next_city() + self._cities_visited.append(new_city) + self.model.grid.move_agent(self, new_city) + self._traveled_distance += g[current_city][new_city]["distance"] + + self.tsp_solution = self._cities_visited.copy() + self.tsp_distance = self._traveled_distance + self._cities_visited = [] + self._traveled_distance = 0 + + +class AcoTspModel(mesa.Model): + """ + The model class holds the model-level attributes, manages the agents, and generally handles + the global level of our model. + + There is only one model-level parameter: how many agents the model contains. When a new model + is started, we want it to populate itself with the given number of agents. + + The scheduler is a special model component which controls the order in which agents are activated. + """ + + def __init__( + self, + num_agents: int = 20, + tsp_graph: TSPGraph = TSPGraph.from_random(20), + max_steps: int = int(1e6), + ant_alpha: float = 1.0, + ant_beta: float = 5.0, + ): + super().__init__() + self.num_agents = num_agents + self.tsp_graph = tsp_graph + self.num_cities = tsp_graph.num_cities + self.all_cities = set(range(self.num_cities)) + self.max_steps = max_steps + self.schedule = mesa.time.RandomActivation(self) + self.grid = mesa.space.NetworkGrid(tsp_graph.g) + + for i in range(self.num_agents): + agent = AntTSP(unique_id=i, model=self, alpha=ant_alpha, beta=ant_beta) + self.schedule.add(agent) + + city = tsp_graph.cities[self.random.randrange(self.num_cities)] + self.grid.place_agent(agent, city) + agent._cities_visited.append(city) + + self.num_steps = 0 + self.best_path = None + self.best_distance = float("inf") + self.best_distance_iter = float("inf") + # Re-initialize pheromone levels + tsp_graph._add_edge_properties() + + self.datacollector = mesa.datacollection.DataCollector( + model_reporters={ + "num_steps": "num_steps", + "best_distance": "best_distance", + "best_distance_iter": "best_distance_iter", + "best_path": "best_path", + }, + agent_reporters={ + "tsp_distance": "tsp_distance", + "tsp_solution": "tsp_solution", + }, + ) + + self.running = True + + def update_pheromone(self, q: float = 100, ro: float = 0.5): + # tau_ij(t+1) = (1-ro)*tau_ij(t) + delta_tau_ij(t) + # delta_tau_ij(t) = sum_k^M {Q/L^k} * I[i,j \in T^k] + delta_tau_ij = {} + for k, agent in enumerate(self.schedule.agents): + delta_tau_ij[k] = agent.calculate_pheromone_delta(q) + + for i, j in self.grid.G.edges(): + # Evaporate + tau_ij = (1 - ro) * self.grid.G[i][j]["pheromone"] + # Add ant's contribution + for k, delta_tau_ij_k in delta_tau_ij.items(): + tau_ij += delta_tau_ij_k.get((i, j), 0.0) + + self.grid.G[i][j]["pheromone"] = tau_ij + + def step(self): + """ + A model step. Used for collecting data and advancing the schedule + """ + self.datacollector.collect(self) + self.schedule.step() + self.num_steps += 1 + self.update_pheromone() + + # Check len of cities visited by an agent + best_instance_iter = float("inf") + for agent in self.schedule.agents: + # Check for best path + if agent.tsp_distance < self.best_distance: + self.best_distance = agent.tsp_distance + self.best_path = agent.tsp_solution + + if agent.tsp_distance < best_instance_iter: + best_instance_iter = agent.tsp_distance + + self.best_distance_iter = best_instance_iter + + if self.num_steps >= self.max_steps: + self.running = False diff --git a/examples/aco_tsp/app.py b/examples/aco_tsp/app.py new file mode 100644 index 00000000..068b2826 --- /dev/null +++ b/examples/aco_tsp/app.py @@ -0,0 +1,76 @@ +""" +Configure visualization elements and instantiate a server +""" + +import networkx as nx +import solara +from aco_tsp.model import AcoTspModel, TSPGraph +from matplotlib.figure import Figure +from mesa.visualization import SolaraViz + + +def circle_portrayal_example(agent): + return {"node_size": 20, "width": 0.1} + + +tsp_graph = TSPGraph.from_tsp_file("aco_tsp/data/kroA100.tsp") +model_params = { + "num_agents": tsp_graph.num_cities, + "tsp_graph": tsp_graph, + "ant_alpha": { + "type": "SliderFloat", + "value": 1.0, + "label": "Alpha: pheromone exponent", + "min": 0.0, + "max": 10.0, + "step": 0.1, + }, + "ant_beta": { + "type": "SliderFloat", + "value": 5.0, + "label": "Beta: heuristic exponent", + "min": 0.0, + "max": 10.0, + "step": 0.1, + }, +} + + +def make_graph(model): + fig = Figure() + ax = fig.subplots() + ax.set_title("Cities and pheromone trails") + graph = model.grid.G + pos = model.tsp_graph.pos + weights = [graph[u][v]["pheromone"] for u, v in graph.edges()] + # normalize the weights + weights = [w / max(weights) for w in weights] + + nx.draw( + graph, + ax=ax, + pos=pos, + node_size=10, + width=weights, + edge_color="gray", + ) + + solara.FigureMatplotlib(fig) + + +def ant_level_distances(model): + # ant_distances = model.datacollector.get_agent_vars_dataframe() + # Plot so that the step index is the x-axis, there's a line for each agent, + # and the y-axis is the distance traveled + # ant_distances['tsp_distance'].unstack(level=1).plot(ax=ax) + pass + + +page = SolaraViz( + AcoTspModel, + model_params, + space_drawer=None, + measures=["best_distance_iter", "best_distance", make_graph], + agent_portrayal=circle_portrayal_example, + play_interval=1, +) diff --git a/examples/aco_tsp/run_tsp.py b/examples/aco_tsp/run_tsp.py new file mode 100644 index 00000000..8b33e5ce --- /dev/null +++ b/examples/aco_tsp/run_tsp.py @@ -0,0 +1,47 @@ +from collections import defaultdict + +import matplotlib.pyplot as plt +from aco_tsp.model import AcoTspModel, TSPGraph + + +def main(): + # tsp_graph = TSPGraph.from_random(num_cities=20, seed=1) + tsp_graph = TSPGraph.from_tsp_file("aco_tsp/data/kroA100.tsp") + model_params = { + "num_agents": tsp_graph.num_cities, + "tsp_graph": tsp_graph, + } + number_of_episodes = 50 + + results = defaultdict(list) + + best_path = None + best_distance = float("inf") + + model = AcoTspModel(**model_params) + + for e in range(number_of_episodes): + # model = AcoTspModel(**model_params) + model.step() + results["best_distance"].append(model.best_distance) + results["best_path"].append(model.best_path) + print( + f"Episode={e + 1}; Min. distance={model.best_distance:.2f}; pheromone_1_8={model.grid.G[17][15]['pheromone']:.4f}" + ) + if model.best_distance < best_distance: + best_distance = model.best_distance + best_path = model.best_path + print(f"New best distance: distance={best_distance:.2f}") + + print(f"Best distance: {best_distance:.2f}") + print(f"Best path: {best_path}") + # print(model.datacollector.get_model_vars_dataframe()) + + _, ax = plt.subplots() + ax.plot(results["best_distance"]) + ax.set(xlabel="Episode", ylabel="Best distance", title="Best distance per episode") + plt.show() + + +if __name__ == "__main__": + main() From 2fd8945d06d567e0d4f9f8d70d5b3cc3a1345c15 Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Sun, 25 Aug 2024 15:47:49 +0200 Subject: [PATCH 34/82] gis: Use relative imports in all models Use relative imports in all models. This way models can be ran from different locations, which will help with testing them. --- gis/agents_and_networks/src/agent/commuter.py | 4 ++-- gis/agents_and_networks/src/model/model.py | 10 +++++----- gis/agents_and_networks/src/space/campus.py | 4 ++-- gis/agents_and_networks/src/space/road_network.py | 2 +- gis/agents_and_networks/src/visualization/server.py | 6 +++--- gis/geo_sir/model.py | 3 ++- 6 files changed, 15 insertions(+), 14 deletions(-) diff --git a/gis/agents_and_networks/src/agent/commuter.py b/gis/agents_and_networks/src/agent/commuter.py index 71c59f1e..85a928bb 100644 --- a/gis/agents_and_networks/src/agent/commuter.py +++ b/gis/agents_and_networks/src/agent/commuter.py @@ -8,8 +8,8 @@ import pyproj from shapely.geometry import LineString, Point -from src.agent.building import Building -from src.space.utils import UnitTransformer, redistribute_vertices +from ..space.utils import UnitTransformer, redistribute_vertices +from .building import Building class Commuter(mg.GeoAgent): diff --git a/gis/agents_and_networks/src/model/model.py b/gis/agents_and_networks/src/model/model.py index 9e4ca37c..e0b03114 100644 --- a/gis/agents_and_networks/src/model/model.py +++ b/gis/agents_and_networks/src/model/model.py @@ -7,11 +7,11 @@ import pandas as pd from shapely.geometry import Point -from src.agent.building import Building -from src.agent.commuter import Commuter -from src.agent.geo_agents import Driveway, LakeAndRiver, Walkway -from src.space.campus import Campus -from src.space.road_network import CampusWalkway +from ..agent.building import Building +from ..agent.commuter import Commuter +from ..agent.geo_agents import Driveway, LakeAndRiver, Walkway +from ..space.campus import Campus +from ..space.road_network import CampusWalkway def get_time(model) -> pd.Timedelta: diff --git a/gis/agents_and_networks/src/space/campus.py b/gis/agents_and_networks/src/space/campus.py index 0d415538..5b3ebb35 100644 --- a/gis/agents_and_networks/src/space/campus.py +++ b/gis/agents_and_networks/src/space/campus.py @@ -6,8 +6,8 @@ import mesa_geo as mg from shapely.geometry import Point -from src.agent.building import Building -from src.agent.commuter import Commuter +from ..agent.building import Building +from ..agent.commuter import Commuter class Campus(mg.GeoSpace): diff --git a/gis/agents_and_networks/src/space/road_network.py b/gis/agents_and_networks/src/space/road_network.py index 9f4d1940..be5e1cb8 100644 --- a/gis/agents_and_networks/src/space/road_network.py +++ b/gis/agents_and_networks/src/space/road_network.py @@ -9,7 +9,7 @@ import pyproj from sklearn.neighbors import KDTree -from src.space.utils import segmented +from .utils import segmented class RoadNetwork: diff --git a/gis/agents_and_networks/src/visualization/server.py b/gis/agents_and_networks/src/visualization/server.py index 64c43235..c3c04e17 100644 --- a/gis/agents_and_networks/src/visualization/server.py +++ b/gis/agents_and_networks/src/visualization/server.py @@ -1,8 +1,8 @@ import mesa -from src.agent.building import Building -from src.agent.commuter import Commuter -from src.agent.geo_agents import Driveway, LakeAndRiver, Walkway +from ..agent.building import Building +from ..agent.commuter import Commuter +from ..agent.geo_agents import Driveway, LakeAndRiver, Walkway class ClockElement(mesa.visualization.TextElement): diff --git a/gis/geo_sir/model.py b/gis/geo_sir/model.py index d9d49585..c6882ed8 100644 --- a/gis/geo_sir/model.py +++ b/gis/geo_sir/model.py @@ -1,8 +1,9 @@ import mesa import mesa_geo as mg -from agents import NeighbourhoodAgent, PersonAgent from shapely.geometry import Point +from .agents import NeighbourhoodAgent, PersonAgent + class GeoSir(mesa.Model): """Model class for a simplistic infection model.""" From 7ecbb9361550baff303ea40e6249310bd20b642c Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Sun, 25 Aug 2024 15:57:50 +0200 Subject: [PATCH 35/82] Create script to test GIS examples Co-Authored-By: rht --- test_gis_examples.py | 34 ++++++++++++++++++++++++++++++++++ 1 file changed, 34 insertions(+) create mode 100644 test_gis_examples.py diff --git a/test_gis_examples.py b/test_gis_examples.py new file mode 100644 index 00000000..39015ecd --- /dev/null +++ b/test_gis_examples.py @@ -0,0 +1,34 @@ +import importlib +import os + +import pytest +from mesa import Model + + +def get_models(directory): + models = [] + for root, dirs, files in os.walk(directory): + for file in files: + if file == "model.py": + module_name = os.path.relpath(os.path.join(root, file[:-3])).replace( + os.sep, "." + ) + + module = importlib.import_module(module_name) + for item in dir(module): + obj = getattr(module, item) + if ( + isinstance(obj, type) + and issubclass(obj, Model) + and obj is not Model + ): + models.append(obj) + + return models + + +@pytest.mark.parametrize("model_class", get_models("gis")) +def test_model_steps(model_class): + model = model_class() # Assume no arguments are needed + for _ in range(10): + model.step() From eed4f7d202c44d21c0b1022b0b02909fba0e447b Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Sun, 25 Aug 2024 16:03:58 +0200 Subject: [PATCH 36/82] CI: Modernize examples test script - Rename workflow - Run on each push (which allows developing on test branches in this repo) - Run only on changes to the example models, the test script or the CI config - Allow multiple commits after each other (to allow continuous trial and error --- .../{build_lint.yml => test_examples.yml} | 26 +++++++------------ 1 file changed, 9 insertions(+), 17 deletions(-) rename .github/workflows/{build_lint.yml => test_examples.yml} (73%) diff --git a/.github/workflows/build_lint.yml b/.github/workflows/test_examples.yml similarity index 73% rename from .github/workflows/build_lint.yml rename to .github/workflows/test_examples.yml index 0da5147b..4821604c 100644 --- a/.github/workflows/build_lint.yml +++ b/.github/workflows/test_examples.yml @@ -1,28 +1,20 @@ -name: build +name: Test example models on: push: - branches: - - main - - release** - paths-ignore: - - '**.md' - - '**.rst' + paths: + - 'examples/**/*.py' # If an example model is modified + - 'test_examples.py' # If the test script is modified + - '.github/workflows/test_examples.yml' # If this workflow is modified pull_request: - paths-ignore: - - '**.md' - - '**.rst' + paths: + - 'examples/**/*.py' + - 'test_examples.py' + - '.github/workflows/test_examples.yml' workflow_dispatch: schedule: - cron: '0 6 * * 1' # Monday at 6:00 UTC -# This will cancel previous run if a newer job that obsoletes the said previous -# run, is started. -# Based on https://github.com/zulip/zulip/commit/4a11642cee3c8aec976d305d51a86e60e5d70522 -concurrency: - group: "${{ github.workflow }}-${{ github.head_ref || github.run_id }}" - cancel-in-progress: true - jobs: # build-stable: # runs-on: ubuntu-latest From c2f4a736549a043ae95fb33ea936b98b410ce6b7 Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Sun, 25 Aug 2024 16:07:36 +0200 Subject: [PATCH 37/82] CI: Add workflow to test gis models --- .github/workflows/test_gis_examples.yml | 62 +++++++++++++++++++++++++ 1 file changed, 62 insertions(+) create mode 100644 .github/workflows/test_gis_examples.yml diff --git a/.github/workflows/test_gis_examples.yml b/.github/workflows/test_gis_examples.yml new file mode 100644 index 00000000..49a3ae43 --- /dev/null +++ b/.github/workflows/test_gis_examples.yml @@ -0,0 +1,62 @@ +name: Test GIS models + +on: + push: + paths: + - 'gis/**/*.py' # If a gis model is modified + - 'test_gis_examples.py' # If the gis test script is modified + - '.github/workflows/test_gis_examples.yml' # If this workflow is modified + pull_request: + paths: + - 'gis/**/*.py' + - 'test_gis_examples.py' + - '.github/workflows/test_gis_examples.yml' + workflow_dispatch: + schedule: + - cron: '0 6 * * 1' # Monday at 6:00 UTC + +jobs: + # build-stable: + # runs-on: ubuntu-latest + # steps: + # - uses: actions/checkout@v4 + # - name: Set up Python + # uses: actions/setup-python@v5 + # with: + # python-version: "3.12" + # - name: Install dependencies + # run: pip install mesa pytest + # - name: Test with pytest + # run: pytest -rA -Werror test_examples.py + + build-pre: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + - name: Set up Python + uses: actions/setup-python@v5 + with: + python-version: "3.12" + - name: Install dependencies + run: | + pip install mesa mesa-geo --pre + pip install + pip install pytest + - name: Test with pytest + run: pytest -rA -Werror test_gis_examples.py + + build-main: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + - name: Set up Python + uses: actions/setup-python@v5 + with: + python-version: "3.12" + - name: Install dependencies + run: | + pip install pytest + pip install -U git+https://github.com/projectmesa/mesa@main#egg=mesa + pip install -U git+https://github.com/projectmesa/mesa-geo@main#egg=mesa-geo + - name: Test with pytest + run: pytest -rA -Werror test_gis_examples.py From efffb6777e55310d94131aa0e508be9e9a4916d8 Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Sun, 25 Aug 2024 16:15:13 +0200 Subject: [PATCH 38/82] Define optional gis dependencies in pyproject.toml --- .github/workflows/test_gis_examples.yml | 2 +- pyproject.toml | 6 ++++++ 2 files changed, 7 insertions(+), 1 deletion(-) diff --git a/.github/workflows/test_gis_examples.yml b/.github/workflows/test_gis_examples.yml index 49a3ae43..71dcfbfe 100644 --- a/.github/workflows/test_gis_examples.yml +++ b/.github/workflows/test_gis_examples.yml @@ -40,7 +40,7 @@ jobs: - name: Install dependencies run: | pip install mesa mesa-geo --pre - pip install + pip install .[test_gis] pip install pytest - name: Test with pytest run: pytest -rA -Werror test_gis_examples.py diff --git a/pyproject.toml b/pyproject.toml index d82e0f3b..41bb1d02 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -9,6 +9,12 @@ license = {file = "LICENSE"} readme = "README.rst" requires-python = ">=3.8" +[project.optional-dependencies] +test = [""] +test_gis = [ + "momepy", +] + [build-system] requires = [ "setuptools", From 49342ea304c73c9671f8fafc916b0a0bf82248c8 Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Sun, 25 Aug 2024 16:22:51 +0200 Subject: [PATCH 39/82] Update optional dependencies and CI --- .github/workflows/test_examples.yml | 4 ++-- .github/workflows/test_gis_examples.yml | 6 ++---- pyproject.toml | 7 +++++-- 3 files changed, 9 insertions(+), 8 deletions(-) diff --git a/.github/workflows/test_examples.yml b/.github/workflows/test_examples.yml index 4821604c..6061c145 100644 --- a/.github/workflows/test_examples.yml +++ b/.github/workflows/test_examples.yml @@ -40,7 +40,7 @@ jobs: - name: Install dependencies run: | pip install mesa --pre - pip install pytest + pip install .[test] - name: Test with pytest run: pytest -rA -Werror test_examples.py @@ -54,7 +54,7 @@ jobs: python-version: "3.12" - name: Install dependencies run: | - pip install pytest + pip install .[test] pip install -U git+https://github.com/projectmesa/mesa@main#egg=mesa - name: Test with pytest run: pytest -rA -Werror test_examples.py diff --git a/.github/workflows/test_gis_examples.yml b/.github/workflows/test_gis_examples.yml index 71dcfbfe..f52986cf 100644 --- a/.github/workflows/test_gis_examples.yml +++ b/.github/workflows/test_gis_examples.yml @@ -39,9 +39,8 @@ jobs: python-version: "3.12" - name: Install dependencies run: | - pip install mesa mesa-geo --pre + pip install mesa-geo --pre pip install .[test_gis] - pip install pytest - name: Test with pytest run: pytest -rA -Werror test_gis_examples.py @@ -55,8 +54,7 @@ jobs: python-version: "3.12" - name: Install dependencies run: | - pip install pytest - pip install -U git+https://github.com/projectmesa/mesa@main#egg=mesa pip install -U git+https://github.com/projectmesa/mesa-geo@main#egg=mesa-geo + pip install .[test_gis] - name: Test with pytest run: pytest -rA -Werror test_gis_examples.py diff --git a/pyproject.toml b/pyproject.toml index 41bb1d02..ab2b4abd 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -10,9 +10,12 @@ readme = "README.rst" requires-python = ">=3.8" [project.optional-dependencies] -test = [""] +test = [ + "pytest", +] test_gis = [ - "momepy", + "pytest", + "momepy", ] [build-system] From 4fe5c71fc109c4f5aea4eacfc9deca4a5cfed1cd Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Sun, 25 Aug 2024 18:16:26 +0200 Subject: [PATCH 40/82] Add super().__init__() to Mesa model initalization (#175) When inheriting from a Mesa Model you always need to initialize it by calling super().__init__(). This commit fixes that in two gis models. --- gis/geo_schelling/model.py | 1 + gis/geo_sir/model.py | 1 + 2 files changed, 2 insertions(+) diff --git a/gis/geo_schelling/model.py b/gis/geo_schelling/model.py index 0f2d9a7b..9700910d 100644 --- a/gis/geo_schelling/model.py +++ b/gis/geo_schelling/model.py @@ -52,6 +52,7 @@ class GeoSchelling(mesa.Model): """Model class for the Schelling segregation model.""" def __init__(self, density=0.6, minority_pc=0.2, export_data=False): + super().__init__() self.density = density self.minority_pc = minority_pc self.export_data = export_data diff --git a/gis/geo_sir/model.py b/gis/geo_sir/model.py index c6882ed8..2a2a0dac 100644 --- a/gis/geo_sir/model.py +++ b/gis/geo_sir/model.py @@ -24,6 +24,7 @@ def __init__( :param infection_risk: Probability of agent to become infected, if it has been exposed to another infected """ + super().__init__() self.schedule = mesa.time.BaseScheduler(self) self.space = mg.GeoSpace(warn_crs_conversion=False) self.steps = 0 From bbf5ad23bae10e306c6317895fd4a5816b1570dc Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Sun, 25 Aug 2024 18:27:00 +0200 Subject: [PATCH 41/82] Fix 3 data path imports in gis models (#176) Fix the data path import errors in the geo_schelling, geo_schelling_points and geo_sir models. --- gis/geo_schelling/model.py | 8 +++++++- gis/geo_schelling_points/geo_schelling_points/model.py | 8 ++++++-- gis/geo_sir/model.py | 8 +++++++- 3 files changed, 20 insertions(+), 4 deletions(-) diff --git a/gis/geo_schelling/model.py b/gis/geo_schelling/model.py index 9700910d..d98da193 100644 --- a/gis/geo_schelling/model.py +++ b/gis/geo_schelling/model.py @@ -1,8 +1,11 @@ +import os import random import mesa import mesa_geo as mg +script_directory = os.path.dirname(os.path.abspath(__file__)) + class SchellingAgent(mg.GeoAgent): """Schelling segregation agent.""" @@ -67,7 +70,10 @@ def __init__(self, density=0.6, minority_pc=0.2, export_data=False): # Set up the grid with patches for every NUTS region ac = mg.AgentCreator(SchellingAgent, model=self) - agents = ac.from_file("data/nuts_rg_60M_2013_lvl_2.geojson") + data_path = os.path.join( + script_directory, "data/nuts_rg_60M_2013_lvl_2.geojson" + ) + agents = ac.from_file(filename=data_path) self.space.add_agents(agents) # Set up agents diff --git a/gis/geo_schelling_points/geo_schelling_points/model.py b/gis/geo_schelling_points/geo_schelling_points/model.py index b8544934..b5a0e512 100644 --- a/gis/geo_schelling_points/geo_schelling_points/model.py +++ b/gis/geo_schelling_points/geo_schelling_points/model.py @@ -1,3 +1,4 @@ +import os import random import uuid @@ -7,6 +8,8 @@ from .agents import PersonAgent, RegionAgent from .space import Nuts2Eu +script_directory = os.path.dirname(os.path.abspath(__file__)) + class GeoSchellingPoints(mesa.Model): def __init__(self, red_percentage=0.5, similarity_threshold=0.5): @@ -24,9 +27,10 @@ def __init__(self, red_percentage=0.5, similarity_threshold=0.5): # Set up the grid with patches for every NUTS region ac = mg.AgentCreator(RegionAgent, model=self) - regions = ac.from_file( - "data/nuts_rg_60M_2013_lvl_2.geojson", unique_id="NUTS_ID" + data_path = os.path.join( + script_directory, "../data/nuts_rg_60M_2013_lvl_2.geojson" ) + regions = ac.from_file(data_path, unique_id="NUTS_ID") self.space.add_regions(regions) for region in regions: diff --git a/gis/geo_sir/model.py b/gis/geo_sir/model.py index 2a2a0dac..543f64d1 100644 --- a/gis/geo_sir/model.py +++ b/gis/geo_sir/model.py @@ -1,15 +1,21 @@ +import os + import mesa import mesa_geo as mg from shapely.geometry import Point from .agents import NeighbourhoodAgent, PersonAgent +script_directory = os.path.dirname(os.path.abspath(__file__)) + class GeoSir(mesa.Model): """Model class for a simplistic infection model.""" # Geographical parameters for desired map - geojson_regions = "data/TorontoNeighbourhoods.geojson" + geojson_regions = os.path.join( + script_directory, "data/TorontoNeighbourhoods.geojson" + ) unique_id = "HOODNUM" def __init__( From 269ff1a10c8dc0a603bd007ea3f90cb374dc7805 Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Mon, 26 Aug 2024 12:05:56 +0200 Subject: [PATCH 42/82] Fix data paths and model passing in GIS examples (#177) This commit addresses several of the remaining issues across the GIS examples: - Corrects data file paths in the population, rainfall, and urban growth models to use relative paths from the script directory. - Fixes the urban growth model by passing the model object to City and UrbanCell classes, as required by mesa-geo 0.8.0. - Updates the population model to pass the model object when creating agents, ensuring they can access Model variables and properties. - Corrects the use of `/vsigzip/` paths for GDAL compatibility. The `/vsigzip/` situation is super weird. It isn't part of the file path, but it's a "marker" a GDAL convention. See the PR message, mesa-geo#235 and https://gdal.org/user/virtual_file_systems.html#vsigzip-gzipped-file for more details. --- gis/geo_schelling/model.py | 8 +++----- .../geo_schelling_points/model.py | 8 +++----- gis/geo_sir/model.py | 8 +++----- gis/population/population/model.py | 16 ++++++++++++---- gis/population/population/space.py | 7 ++++--- gis/rainfall/rainfall/model.py | 8 ++++++-- gis/rainfall/rainfall/space.py | 10 +++++++--- gis/urban_growth/urban_growth/model.py | 14 +++++++++----- gis/urban_growth/urban_growth/space.py | 7 ++++--- 9 files changed, 51 insertions(+), 35 deletions(-) diff --git a/gis/geo_schelling/model.py b/gis/geo_schelling/model.py index d98da193..7436af92 100644 --- a/gis/geo_schelling/model.py +++ b/gis/geo_schelling/model.py @@ -1,10 +1,10 @@ -import os import random +from pathlib import Path import mesa import mesa_geo as mg -script_directory = os.path.dirname(os.path.abspath(__file__)) +script_directory = Path(__file__).resolve().parent class SchellingAgent(mg.GeoAgent): @@ -70,9 +70,7 @@ def __init__(self, density=0.6, minority_pc=0.2, export_data=False): # Set up the grid with patches for every NUTS region ac = mg.AgentCreator(SchellingAgent, model=self) - data_path = os.path.join( - script_directory, "data/nuts_rg_60M_2013_lvl_2.geojson" - ) + data_path = script_directory / "data/nuts_rg_60M_2013_lvl_2.geojson" agents = ac.from_file(filename=data_path) self.space.add_agents(agents) diff --git a/gis/geo_schelling_points/geo_schelling_points/model.py b/gis/geo_schelling_points/geo_schelling_points/model.py index b5a0e512..5031eb1e 100644 --- a/gis/geo_schelling_points/geo_schelling_points/model.py +++ b/gis/geo_schelling_points/geo_schelling_points/model.py @@ -1,6 +1,6 @@ -import os import random import uuid +from pathlib import Path import mesa import mesa_geo as mg @@ -8,7 +8,7 @@ from .agents import PersonAgent, RegionAgent from .space import Nuts2Eu -script_directory = os.path.dirname(os.path.abspath(__file__)) +script_directory = Path(__file__).resolve().parent class GeoSchellingPoints(mesa.Model): @@ -27,9 +27,7 @@ def __init__(self, red_percentage=0.5, similarity_threshold=0.5): # Set up the grid with patches for every NUTS region ac = mg.AgentCreator(RegionAgent, model=self) - data_path = os.path.join( - script_directory, "../data/nuts_rg_60M_2013_lvl_2.geojson" - ) + data_path = script_directory / "../data/nuts_rg_60M_2013_lvl_2.geojson" regions = ac.from_file(data_path, unique_id="NUTS_ID") self.space.add_regions(regions) diff --git a/gis/geo_sir/model.py b/gis/geo_sir/model.py index 543f64d1..093cd236 100644 --- a/gis/geo_sir/model.py +++ b/gis/geo_sir/model.py @@ -1,4 +1,4 @@ -import os +from pathlib import Path import mesa import mesa_geo as mg @@ -6,16 +6,14 @@ from .agents import NeighbourhoodAgent, PersonAgent -script_directory = os.path.dirname(os.path.abspath(__file__)) +script_directory = Path(__file__).resolve().parent class GeoSir(mesa.Model): """Model class for a simplistic infection model.""" # Geographical parameters for desired map - geojson_regions = os.path.join( - script_directory, "data/TorontoNeighbourhoods.geojson" - ) + geojson_regions = script_directory / "data/TorontoNeighbourhoods.geojson" unique_id = "HOODNUM" def __init__( diff --git a/gis/population/population/model.py b/gis/population/population/model.py index 6c1065ad..2bd77439 100644 --- a/gis/population/population/model.py +++ b/gis/population/population/model.py @@ -1,6 +1,7 @@ import math import random import uuid +from pathlib import Path import mesa import mesa_geo as mg @@ -9,6 +10,8 @@ from .space import UgandaArea +script_directory = Path(__file__).resolve().parent + class Person(mg.GeoAgent): MOBILITY_RANGE_X = 0.0 @@ -52,13 +55,18 @@ def step(self): class Population(mesa.Model): def __init__( self, - population_gzip_file="data/popu.asc.gz", - lake_zip_file="data/lake.zip", - world_zip_file="data/clip.zip", + population_gzip_file="../data/popu.asc.gz", + lake_zip_file="../data/lake.zip", + world_zip_file="../data/clip.zip", ): super().__init__() self.space = UgandaArea(crs="epsg:4326") - self.space.load_data(population_gzip_file, lake_zip_file, world_zip_file) + self.space.load_data( + script_directory / population_gzip_file, + script_directory / lake_zip_file, + script_directory / world_zip_file, + model=self, + ) pixel_size_x, pixel_size_y = self.space.population_layer.resolution Person.MOBILITY_RANGE_X = pixel_size_x / 2.0 Person.MOBILITY_RANGE_Y = pixel_size_y / 2.0 diff --git a/gis/population/population/space.py b/gis/population/population/space.py index 73bfe0ad..6dce4b2c 100644 --- a/gis/population/population/space.py +++ b/gis/population/population/space.py @@ -14,10 +14,11 @@ class UgandaCell(Cell): def __init__( self, + model, pos: mesa.space.Coordinate | None = None, indices: mesa.space.Coordinate | None = None, ): - super().__init__(pos, indices) + super().__init__(model, pos, indices) self.population = None def step(self): @@ -32,7 +33,7 @@ class UgandaArea(GeoSpace): def __init__(self, crs): super().__init__(crs=crs) - def load_data(self, population_gzip_file, lake_zip_file, world_zip_file): + def load_data(self, population_gzip_file, lake_zip_file, world_zip_file, model): world_size = gpd.GeoDataFrame.from_file(world_zip_file) raster_layer = RasterLayer.from_file( f"/vsigzip/{population_gzip_file}", @@ -43,7 +44,7 @@ def load_data(self, population_gzip_file, lake_zip_file, world_zip_file): raster_layer.total_bounds = world_size.total_bounds self.add_layer(raster_layer) self.lake = gpd.GeoDataFrame.from_file(lake_zip_file).geometry[0] - self.add_agents(GeoAgent(uuid.uuid4().int, None, self.lake, self.crs)) + self.add_agents(GeoAgent(uuid.uuid4().int, model, self.lake, self.crs)) @property def population_layer(self): diff --git a/gis/rainfall/rainfall/model.py b/gis/rainfall/rainfall/model.py index 380ff743..36d363ab 100644 --- a/gis/rainfall/rainfall/model.py +++ b/gis/rainfall/rainfall/model.py @@ -1,4 +1,5 @@ import uuid +from pathlib import Path import mesa import mesa_geo as mg @@ -7,6 +8,8 @@ from .space import CraterLake +script_directory = Path(__file__).resolve().parent + class RaindropAgent(mg.GeoAgent): def __init__(self, unique_id, model, pos): @@ -63,7 +66,7 @@ def __init__(self, rain_rate=500, water_height=5, export_data=False, num_steps=2 self.export_data = export_data self.num_steps = num_steps - self.space = CraterLake(crs="epsg:4326", water_height=water_height) + self.space = CraterLake(crs="epsg:4326", water_height=water_height, model=self) self.schedule = mesa.time.RandomActivation(self) self.datacollector = mesa.DataCollector( { @@ -73,7 +76,8 @@ def __init__(self, rain_rate=500, water_height=5, export_data=False, num_steps=2 } ) - self.space.set_elevation_layer("data/elevation.asc.gz", crs="epsg:4326") + data_path = script_directory / "../data/elevation.asc.gz" + self.space.set_elevation_layer(data_path, crs="epsg:4326") @property def contained(self): diff --git a/gis/rainfall/rainfall/space.py b/gis/rainfall/rainfall/space.py index 61c49d7c..77e9dccd 100644 --- a/gis/rainfall/rainfall/space.py +++ b/gis/rainfall/rainfall/space.py @@ -12,10 +12,11 @@ class LakeCell(mg.Cell): def __init__( self, + model, pos: mesa.space.Coordinate | None = None, indices: mesa.space.Coordinate | None = None, ): - super().__init__(pos, indices) + super().__init__(model, pos, indices) self.elevation = None self.water_level = None self.water_level_normalized = None @@ -25,14 +26,17 @@ def step(self): class CraterLake(mg.GeoSpace): - def __init__(self, crs, water_height): + def __init__(self, crs, water_height, model): super().__init__(crs=crs) + self.model = model self.water_height = water_height self.outflow = 0 def set_elevation_layer(self, elevation_gzip_file, crs): raster_layer = mg.RasterLayer.from_file( - f"/vsigzip/{elevation_gzip_file}", cell_cls=LakeCell, attr_name="elevation" + f"/vsigzip/{elevation_gzip_file}", + cell_cls=LakeCell, + attr_name="elevation", ) raster_layer.crs = crs raster_layer.apply_raster( diff --git a/gis/urban_growth/urban_growth/model.py b/gis/urban_growth/urban_growth/model.py index b3f2b3b3..98a530b4 100644 --- a/gis/urban_growth/urban_growth/model.py +++ b/gis/urban_growth/urban_growth/model.py @@ -1,8 +1,12 @@ +from pathlib import Path + import mesa import numpy as np from .space import City +script_directory = Path(__file__).resolve().parent + class UrbanGrowth(mesa.Model): def __init__( @@ -64,14 +68,14 @@ def _load_data(self) -> None: width=self.world_width, height=self.world_height, crs="epsg:3857", + model=self, total_bounds=[-901575.0, 1442925.0, -885645.0, 1454745.0], ) + + labels = ["urban", "slope", "road1", "excluded", "landuse"] + self.space.load_datasets( - urban_data="data/urban_santafe.asc.gz", - slope_data="data/slope_santafe.asc.gz", - road_data="data/road1_santafe.asc.gz", - excluded_data="data/excluded_santafe.asc.gz", - land_use_data="data/landuse_santafe.asc.gz", + *(script_directory / f"../data/{label}_santafe.asc.gz" for label in labels) ) def _check_suitability(self) -> None: diff --git a/gis/urban_growth/urban_growth/space.py b/gis/urban_growth/urban_growth/space.py index 207068c1..ee065e6b 100644 --- a/gis/urban_growth/urban_growth/space.py +++ b/gis/urban_growth/urban_growth/space.py @@ -26,10 +26,11 @@ class UrbanCell(mg.Cell): def __init__( self, + model: mesa.Model | None = None, pos: mesa.space.Coordinate | None = None, indices: mesa.space.Coordinate | None = None, ): - super().__init__(pos, indices) + super().__init__(model, pos, indices) self.urban = None self.slope = None self.road_1 = None @@ -78,10 +79,10 @@ def _edge_growth(self) -> None: class City(mg.GeoSpace): - def __init__(self, width, height, crs, total_bounds): + def __init__(self, width, height, crs, total_bounds, model): super().__init__(crs=crs) self.add_layer( - mg.RasterLayer(width, height, crs, total_bounds, cell_cls=UrbanCell) + mg.RasterLayer(width, height, crs, total_bounds, model, cell_cls=UrbanCell) ) def load_datasets( From 3c71ea9ac5c09532aff5af4101b3422d2fd23078 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?V=C3=ADtor=20Fr=C3=B3is?= Date: Mon, 26 Aug 2024 22:37:46 -0300 Subject: [PATCH 43/82] fixing comments --- examples/ising/ising/model.py | 4 ++-- examples/ising/ising/portrayal.py | 2 +- examples/ising/run.py | 4 ++-- 3 files changed, 5 insertions(+), 5 deletions(-) diff --git a/examples/ising/ising/model.py b/examples/ising/ising/model.py index fcbdf02a..4b29fd40 100644 --- a/examples/ising/ising/model.py +++ b/examples/ising/ising/model.py @@ -33,7 +33,7 @@ def step(self): if dE < 0: random_spin.state *= -1 else: - if self.random.random() < self.boltzmann(dE): + if self.random.random() < self.boltzmann_factor(dE): random_spin.state *= -1 def get_energy_change(self, spin: Spin): @@ -43,5 +43,5 @@ def get_energy_change(self, spin: Spin): sum_over_neighbors += neighbor.state return sum_over_neighbors * 2 * spin.state - def boltzmann(self, dE): + def boltzmann_factor(self, dE): return np.exp(-dE / self.temperature) diff --git a/examples/ising/ising/portrayal.py b/examples/ising/ising/portrayal.py index 252311d5..9153bbd1 100644 --- a/examples/ising/ising/portrayal.py +++ b/examples/ising/ising/portrayal.py @@ -1,4 +1,4 @@ -def portraySpin(spin): +def portray_spin(spin): """ This function is registered with the visualization server to be called each tick to indicate how to draw the cell in its current state. diff --git a/examples/ising/run.py b/examples/ising/run.py index 3584224a..e676b3b1 100644 --- a/examples/ising/run.py +++ b/examples/ising/run.py @@ -1,6 +1,6 @@ import solara from ising.model import IsingModel -from ising.portrayal import portraySpin +from ising.portrayal import portray_spin from mesa.visualization import JupyterViz from mesa.visualization.UserParam import Slider @@ -24,5 +24,5 @@ def Page(): IsingModel, model_params, name="Ising Model", - agent_portrayal=portraySpin, + agent_portrayal=portray_spin, ) From 6e59b9aa4b05b94958858fb15d06d42decfc569d Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?V=C3=ADtor=20Fr=C3=B3is?= <46361092+vitorfrois@users.noreply.github.com> Date: Tue, 27 Aug 2024 23:12:07 -0300 Subject: [PATCH 44/82] Fix marker function name Co-authored-by: Ewout ter Hoeven --- examples/ising/ising/portrayal.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/ising/ising/portrayal.py b/examples/ising/ising/portrayal.py index 9153bbd1..b4aad837 100644 --- a/examples/ising/ising/portrayal.py +++ b/examples/ising/ising/portrayal.py @@ -8,7 +8,7 @@ def portray_spin(spin): if spin is None: raise AssertionError return { - "marker": "s", + "shape": "s", "x": spin.x, "y": spin.y, "color": "grey" if spin.state is spin.UP else "black", From 1d67252a9f2abad051470a07a1607a2a3aa02b29 Mon Sep 17 00:00:00 2001 From: Jan Kwakkel Date: Wed, 28 Aug 2024 09:49:20 +0200 Subject: [PATCH 45/82] Ensure grasspatches info is only collected if gras is true (#181) the datacollector allways includes grasspatches even if grass is False. This is breaking (the proposed changes to agent storage in Model. The underlying problem is that Model.get_agents_of_type now raises a KeyError if type does not exist. I think this is desirable behavior becuase errrors should not be passed over in silence. But this requires fixing the wolf sheep example as done here. --- examples/wolf_sheep/wolf_sheep/model.py | 19 ++++++++++--------- 1 file changed, 10 insertions(+), 9 deletions(-) diff --git a/examples/wolf_sheep/wolf_sheep/model.py b/examples/wolf_sheep/wolf_sheep/model.py index 59f1835c..12db261a 100644 --- a/examples/wolf_sheep/wolf_sheep/model.py +++ b/examples/wolf_sheep/wolf_sheep/model.py @@ -79,15 +79,16 @@ def __init__( self.sheep_gain_from_food = sheep_gain_from_food self.grid = mesa.space.MultiGrid(self.width, self.height, torus=True) - self.datacollector = mesa.DataCollector( - { - "Wolves": lambda m: len(m.get_agents_of_type(Wolf)), - "Sheep": lambda m: len(m.get_agents_of_type(Sheep)), - "Grass": lambda m: len( - m.get_agents_of_type(GrassPatch).select(lambda a: a.fully_grown) - ), - } - ) + + collectors = { + "Wolves": lambda m: len(m.get_agents_of_type(Wolf)), + "Sheep": lambda m: len(m.get_agents_of_type(Sheep)), + } + + if grass: + collectors["Grass"] = lambda m: len(m.get_agents_of_type(GrassPatch)) + + self.datacollector = mesa.DataCollector(collectors) # Create sheep: for i in range(self.initial_sheep): From 2bc3a2da453447f931b73dbfb0f2dc7a4a89fabc Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Thu, 29 Aug 2024 17:57:02 +0200 Subject: [PATCH 46/82] Update SugarscapeG1mt for automatic time advancement --- examples/sugarscape_g1mt/sugarscape_g1mt/model.py | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/examples/sugarscape_g1mt/sugarscape_g1mt/model.py b/examples/sugarscape_g1mt/sugarscape_g1mt/model.py index 015c745c..6d82c07c 100644 --- a/examples/sugarscape_g1mt/sugarscape_g1mt/model.py +++ b/examples/sugarscape_g1mt/sugarscape_g1mt/model.py @@ -150,7 +150,6 @@ def step(self): if not self.enable_trade: # If trade is not enabled, return early - self._steps += 1 self.datacollector.collect(self) return @@ -159,7 +158,6 @@ def step(self): for agent in trader_shuffle: agent.trade_with_neighbors() - self._steps += 1 # collect model level data self.datacollector.collect(self) """ @@ -175,11 +173,11 @@ def step(self): """ # Need to remove excess data # Create local variable to store trade data - agent_trades = self.datacollector._agent_records[self._steps] + agent_trades = self.datacollector._agent_records[self.steps] # Get rid of all None to reduce data storage needs agent_trades = [agent for agent in agent_trades if agent[2] is not None] # Reassign the dictionary value with lean trade data - self.datacollector._agent_records[self._steps] = agent_trades + self.datacollector._agent_records[self.steps] = agent_trades def run_model(self, step_count=1000): for i in range(step_count): From 3e5ebd12c8034dc6a61a3c809cc4fe23014927f3 Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Thu, 29 Aug 2024 17:57:50 +0200 Subject: [PATCH 47/82] schelling_experimental: Remove temporary _advance_time() method (#162) Remove the remove temporary _advance_time() method from schelling_experimental. This isn't needed anymore, because in Mesa 3.0 time will be automatically increased. --- examples/schelling_experimental/model.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/examples/schelling_experimental/model.py b/examples/schelling_experimental/model.py index a5e05de5..6c37db47 100644 --- a/examples/schelling_experimental/model.py +++ b/examples/schelling_experimental/model.py @@ -66,8 +66,6 @@ def step(self): """ self.happy = 0 # Reset counter of happy agents self.agents.shuffle().do("step") - # Must be before data collection. - self._advance_time() # Temporary API; will be finalized by Mesa 3.0 release # collect data self.datacollector.collect(self) From 2ece0cf9328ae149882c7408d85ee810a961592e Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Thu, 29 Aug 2024 15:28:33 +0200 Subject: [PATCH 48/82] GoL_fast: Add fast PropertyLayer implementation of Game of Life A special implementation of Conway's Game of Life, using only the PropertyLayer, without needing a Grid or even any Agents. --- examples/conways_game_of_life_fast/model.py | 36 +++++++++++++++++++++ 1 file changed, 36 insertions(+) create mode 100644 examples/conways_game_of_life_fast/model.py diff --git a/examples/conways_game_of_life_fast/model.py b/examples/conways_game_of_life_fast/model.py new file mode 100644 index 00000000..1f6d8805 --- /dev/null +++ b/examples/conways_game_of_life_fast/model.py @@ -0,0 +1,36 @@ +import numpy as np +from mesa import Model +from mesa.space import PropertyLayer +from scipy.signal import convolve2d + +# fmt: off +class GameOfLifeModel(Model): + def __init__(self, width=10, height=10, alive_fraction=0.2): + super().__init__() + # Initialize the property layer for cell states + self.cell_layer = PropertyLayer("cells", width, height, False, dtype=bool) + # Randomly set cells to alive + self.cell_layer.data = np.random.choice([True, False], size=(width, height), p=[alive_fraction, 1 - alive_fraction]) + + def step(self): + self._advance_time() + # Define a kernel for counting neighbors. The kernel has 1s around the center cell (which is 0). + # This setup allows us to count the live neighbors of each cell when we apply convolution. + kernel = np.array([[1, 1, 1], + [1, 0, 1], + [1, 1, 1]]) + + # Count neighbors using convolution. + # convolve2d applies the kernel to each cell of the grid, summing up the values of neighbors. + # boundary="wrap" ensures that the grid wraps around, simulating a toroidal surface. + neighbor_count = convolve2d(self.cell_layer.data, kernel, mode="same", boundary="wrap") + + # Apply Game of Life rules: + # 1. A live cell with 2 or 3 live neighbors survives, otherwise it dies. + # 2. A dead cell with exactly 3 live neighbors becomes alive. + # These rules are implemented using logical operations on the grid. + self.cell_layer.data = np.logical_or( + np.logical_and(self.cell_layer.data, np.logical_or(neighbor_count == 2, neighbor_count == 3)), + # Rule for live cells + np.logical_and(~self.cell_layer.data, neighbor_count == 3) # Rule for dead cells + ) From 541b0046501577a0bd96946d7df61966d5cde48a Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Thu, 29 Aug 2024 15:38:36 +0200 Subject: [PATCH 49/82] GoL_fast: Add minimal Solara visualisation Add minimal Solara visualisation, to control model parameters. --- examples/conways_game_of_life_fast/app.py | 29 +++++++++++++++++++++++ 1 file changed, 29 insertions(+) create mode 100644 examples/conways_game_of_life_fast/app.py diff --git a/examples/conways_game_of_life_fast/app.py b/examples/conways_game_of_life_fast/app.py new file mode 100644 index 00000000..a04dac66 --- /dev/null +++ b/examples/conways_game_of_life_fast/app.py @@ -0,0 +1,29 @@ +from mesa.visualization import SolaraViz +from model import GameOfLifeModel + +model_params = { + "width": { + "type": "SliderInt", + "value": 10, + "label": "Width", + "min": 5, + "max": 25, + "step": 1, + }, + "height": { + "type": "SliderInt", + "value": 10, + "label": "Height", + "min": 5, + "max": 25, + "step": 1, + }, +} + +page = SolaraViz( + GameOfLifeModel, + model_params, + space_drawer=None, + name="Game of Life Model", +) +page # noqa From aee22c1110650c2f419ed1d6ad9abe0a94416ce2 Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Thu, 29 Aug 2024 15:39:48 +0200 Subject: [PATCH 50/82] GoL_fast: Add metrics, datacollector and measure viz - Add two metrics to the model - Collect those with the datacollector - Plot them as measures in SolaraViz --- examples/conways_game_of_life_fast/app.py | 1 + examples/conways_game_of_life_fast/model.py | 18 +++++++++++++++++- 2 files changed, 18 insertions(+), 1 deletion(-) diff --git a/examples/conways_game_of_life_fast/app.py b/examples/conways_game_of_life_fast/app.py index a04dac66..87e5c841 100644 --- a/examples/conways_game_of_life_fast/app.py +++ b/examples/conways_game_of_life_fast/app.py @@ -23,6 +23,7 @@ page = SolaraViz( GameOfLifeModel, model_params, + measures=["Cells alive", "Fraction alive"], space_drawer=None, name="Game of Life Model", ) diff --git a/examples/conways_game_of_life_fast/model.py b/examples/conways_game_of_life_fast/model.py index 1f6d8805..ecbfb912 100644 --- a/examples/conways_game_of_life_fast/model.py +++ b/examples/conways_game_of_life_fast/model.py @@ -1,8 +1,9 @@ import numpy as np -from mesa import Model +from mesa import DataCollector, Model from mesa.space import PropertyLayer from scipy.signal import convolve2d + # fmt: off class GameOfLifeModel(Model): def __init__(self, width=10, height=10, alive_fraction=0.2): @@ -12,6 +13,16 @@ def __init__(self, width=10, height=10, alive_fraction=0.2): # Randomly set cells to alive self.cell_layer.data = np.random.choice([True, False], size=(width, height), p=[alive_fraction, 1 - alive_fraction]) + # Metrics and datacollector + self.cells = width * height + self.alive_count = 0 + self.alive_fraction = 0 + self.datacollector = DataCollector( + model_reporters={"Cells alive": "alive_count", + "Fraction alive": "alive_fraction"} + ) + self.datacollector.collect(self) + def step(self): self._advance_time() # Define a kernel for counting neighbors. The kernel has 1s around the center cell (which is 0). @@ -34,3 +45,8 @@ def step(self): # Rule for live cells np.logical_and(~self.cell_layer.data, neighbor_count == 3) # Rule for dead cells ) + + # Metrics + self.alive_count = np.sum(self.cell_layer.data) + self.alive_fraction = self.alive_count / self.cells + self.datacollector.collect(self) From a0d50a8ecff55173570d48ae6a746506a5911766 Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Thu, 29 Aug 2024 16:15:18 +0200 Subject: [PATCH 51/82] GoL_fast: Add Readme --- examples/conways_game_of_life_fast/Readme.md | 54 ++++++++++++++++++++ 1 file changed, 54 insertions(+) create mode 100644 examples/conways_game_of_life_fast/Readme.md diff --git a/examples/conways_game_of_life_fast/Readme.md b/examples/conways_game_of_life_fast/Readme.md new file mode 100644 index 00000000..5aaf14b7 --- /dev/null +++ b/examples/conways_game_of_life_fast/Readme.md @@ -0,0 +1,54 @@ +## Conway's Game of Life (Fast) +This example demonstrates a fast and efficient implementation of Conway's Game of Life using the [`PropertyLayer`](https://github.com/projectmesa/mesa/pull/1898) from the Mesa framework. + +### Overview +Conway's [Game of Life](https://en.wikipedia.org/wiki/Conway%27s_Game_of_Life) is a classic cellular automaton where each cell on a grid can either be alive or dead. The state of each cell changes over time based on a set of simple rules that depend on the number of alive neighbors. + +#### Key features: +- **No grid or agents:** This implementation uses the `PropertyLayer` to manage the state of cells, eliminating the need for traditional grids or agents. +- **Fast:** By using 2D convolution to count neighbors, the model efficiently applies the rules of the Game of Life across the entire grid. +- **Toroidal:** The grid wraps around at the edges, creating a seamless, continuous surface. + +#### Performance +The model is benchmarked in https://github.com/projectmesa/mesa/pull/1898#issuecomment-1849000346 to be about 100x faster over a traditional implementation. + +![runtime_comparison](https://github.com/projectmesa/mesa/assets/15776622/d30232c6-e23b-499b-8698-14695a95e627) + +- Benchmark code: [benchmark_gol.zip](https://github.com/projectmesa/mesa/files/13628343/benchmark_gol.zip) + +### Getting Started +#### Prerequisites +- Python 3.9 or higher +- Mesa 2.3 or higher +- NumPy and SciPy + +#### Running the Model +To run the model, open a new file or notebook and add: + +```Python +from model import GameOfLifeModel +model = GameOfLifeModel(width=10, height=10, alive_fraction=0.2) +for i in range(10): + model.step() +``` +Or to run visualized with Solara, run in your terminal: + +```bash +solara run app.py +``` + +### Understanding the Code +- **Model initialization:** The grid is represented by a `PropertyLayer` where each cell is randomly initialized as alive or dead based on a given probability. +- **`PropertyLayer`:** In the `cell_layer` (which is a `PropertyLayer`), each cell has either a value of 1 (alive) or 0 (dead). +- **Step function:** Each simulation step calculates the number of alive neighbors for each cell and applies the Game of Life rules. +- **Data collection:** The model tracks and reports the number of alive cells and the fraction of the grid that is alive. + +### Customization +You can easily modify the model parameters such as grid size and initial alive fraction to explore different scenarios. You can also add more metrics or visualisations. + +### Summary +This example provides a fast approach to modeling cellular automata using Mesa's `PropertyLayer`. + +### Future work +Add visualisation of the `PropertyLayer` in SolaraViz. See: +- https://github.com/projectmesa/mesa/issues/2138 From 875110a2769fb38eecb183cd82b7a3617c32a260 Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Thu, 29 Aug 2024 15:51:07 +0200 Subject: [PATCH 52/82] Add scipy to test dependencies The fast GoL model needs it. --- pyproject.toml | 1 + 1 file changed, 1 insertion(+) diff --git a/pyproject.toml b/pyproject.toml index ab2b4abd..b4488eeb 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -12,6 +12,7 @@ requires-python = ">=3.8" [project.optional-dependencies] test = [ "pytest", + "scipy", ] test_gis = [ "pytest", From eb66dae234dc0eb60359ae17597efb6f6f4af26a Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Thu, 29 Aug 2024 15:58:47 +0200 Subject: [PATCH 53/82] pytest: Don't raise FutureWarning to Error Otherwise we can't use this experimental feature. --- .github/workflows/test_examples.yml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.github/workflows/test_examples.yml b/.github/workflows/test_examples.yml index 6061c145..d257eef2 100644 --- a/.github/workflows/test_examples.yml +++ b/.github/workflows/test_examples.yml @@ -42,7 +42,7 @@ jobs: pip install mesa --pre pip install .[test] - name: Test with pytest - run: pytest -rA -Werror test_examples.py + run: pytest -rA -Werror -Wdefault::FutureWarning test_examples.py build-main: runs-on: ubuntu-latest @@ -57,4 +57,4 @@ jobs: pip install .[test] pip install -U git+https://github.com/projectmesa/mesa@main#egg=mesa - name: Test with pytest - run: pytest -rA -Werror test_examples.py + run: pytest -rA -Werror -Wdefault::FutureWarning test_examples.py From be57796e0629fa0070c295df97d31d2ff3dfe23b Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Thu, 29 Aug 2024 21:06:05 +0200 Subject: [PATCH 54/82] Readme: Add Conway's Game Of "Life" Model (Fast) --- README.md | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/README.md b/README.md index 07c42ea3..034938e4 100644 --- a/README.md +++ b/README.md @@ -50,6 +50,10 @@ A cellular automaton model where agents opinions are influenced by that of their Implementation of [Conway's Game of Life](https://en.wikipedia.org/wiki/Conway%27s_Game_of_Life), a cellular automata where simple rules can give rise to complex patterns. +### [Conway's Game Of "Life" Model (Fast)](https://github.com/projectmesa/mesa-examples/tree/main/examples/conways_game_of_life_fast) + +A very fast performance optimized version of Conway's Game of Life using the Mesa [`PropertyLayer`](https://github.com/projectmesa/mesa/pull/1898). About 100x as fast as the regular versions, but limited visualisation (for [now](https://github.com/projectmesa/mesa/issues/2138)). + ### [Conway's Game Of "Life" Model on a Hexagonal Grid](https://github.com/projectmesa/mesa-examples/tree/main/examples/hex_snowflake) Conway's game of life on a hexagonal grid. From fc18ece26d9cc022fa6c45d631e33a126a232b67 Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Fri, 30 Aug 2024 15:44:00 +0200 Subject: [PATCH 55/82] GoL_fast: Remove advance_time() `steps` is now increased automatically, it's not needed anymore! --- examples/conways_game_of_life_fast/model.py | 1 - 1 file changed, 1 deletion(-) diff --git a/examples/conways_game_of_life_fast/model.py b/examples/conways_game_of_life_fast/model.py index ecbfb912..97c47022 100644 --- a/examples/conways_game_of_life_fast/model.py +++ b/examples/conways_game_of_life_fast/model.py @@ -24,7 +24,6 @@ def __init__(self, width=10, height=10, alive_fraction=0.2): self.datacollector.collect(self) def step(self): - self._advance_time() # Define a kernel for counting neighbors. The kernel has 1s around the center cell (which is 0). # This setup allows us to count the live neighbors of each cell when we apply convolution. kernel = np.array([[1, 1, 1], From 0fd7f826de254560f57a12fe52a27697fff50ea7 Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Fri, 30 Aug 2024 10:30:22 +0200 Subject: [PATCH 56/82] Reinstate PR #161: Replace schedulers with AgentSet functionality This reinstates PR #161 after the previous revert. --- .../bank_reserves/bank_reserves/agents.py | 16 +++++++------ examples/bank_reserves/bank_reserves/model.py | 22 +++++++---------- examples/bank_reserves/batch_run.py | 24 ++++++++----------- examples/boid_flockers/Flocker Test.ipynb | 2 +- .../boid_flockers/SimpleContinuousModule.py | 2 +- examples/boid_flockers/boid_flockers/model.py | 5 ++-- .../boltzmann_wealth_model/model.py | 8 +++---- .../model.py | 8 +++---- .../boltzmann_wealth_model_network/model.py | 8 +++---- examples/caching_and_replay/model.py | 6 ++--- examples/charts/charts/agents.py | 16 +++++++------ examples/charts/charts/model.py | 22 +++++++---------- examples/color_patches/color_patches/model.py | 21 ++++++---------- .../conways_game_of_life/cell.py | 4 ++-- .../conways_game_of_life/model.py | 17 ++++--------- examples/el_farol/el_farol/agents.py | 2 +- examples/el_farol/el_farol/model.py | 10 ++++---- .../epstein_civil_violence/model.py | 13 +++++----- examples/forest_fire/Forest Fire Model.ipynb | 13 ++++------ examples/forest_fire/forest_fire/model.py | 7 +++--- examples/hex_snowflake/hex_snowflake/cell.py | 6 ++--- examples/hex_snowflake/hex_snowflake/model.py | 16 ++++--------- examples/hotelling_law/app.py | 14 +++++------ .../hotelling_law/hotelling_law/agents.py | 2 +- examples/hotelling_law/hotelling_law/model.py | 11 ++++----- examples/schelling/model.py | 6 ++--- examples/shape_example/shape_example/model.py | 6 ++--- .../virus_on_network/model.py | 6 ++--- 28 files changed, 123 insertions(+), 170 deletions(-) diff --git a/examples/bank_reserves/bank_reserves/agents.py b/examples/bank_reserves/bank_reserves/agents.py index 5d81a65c..1d561d5b 100644 --- a/examples/bank_reserves/bank_reserves/agents.py +++ b/examples/bank_reserves/bank_reserves/agents.py @@ -10,15 +10,18 @@ Northwestern University, Evanston, IL. """ -import mesa - from .random_walk import RandomWalker -class Bank(mesa.Agent): - def __init__(self, unique_id, model, reserve_percent=50): - # initialize the parent class with required parameters - super().__init__(unique_id, model) +class Bank: + """Note that the Bank class is not a Mesa Agent, but just a regular Python + class. This is because there is only one bank in this model, and it does not + use any Mesa-specific features like the scheduler or the grid, and doesn't + have a step method. It is just used to keep track of the bank's reserves and + the amount it can loan out, for Person agents to interact with.""" + + def __init__(self, model, reserve_percent=50): + self.model = model # for tracking total value of loans outstanding self.bank_loans = 0 """percent of deposits the bank must keep in reserves - this is set via @@ -173,7 +176,6 @@ def take_out_loan(self, amount): # increase the bank's outstanding loans self.bank.bank_loans += amount - # step is called for each agent in model.BankReservesModel.schedule.step() def step(self): # move to a cell in my Moore neighborhood self.random_move() diff --git a/examples/bank_reserves/bank_reserves/model.py b/examples/bank_reserves/bank_reserves/model.py index 421854fb..f7aab4cb 100644 --- a/examples/bank_reserves/bank_reserves/model.py +++ b/examples/bank_reserves/bank_reserves/model.py @@ -26,14 +26,14 @@ def get_num_rich_agents(model): """return number of rich agents""" - rich_agents = [a for a in model.schedule.agents if a.savings > model.rich_threshold] + rich_agents = [a for a in model.agents if a.savings > model.rich_threshold] return len(rich_agents) def get_num_poor_agents(model): """return number of poor agents""" - poor_agents = [a for a in model.schedule.agents if a.loans > 10] + poor_agents = [a for a in model.agents if a.loans > 10] return len(poor_agents) @@ -41,9 +41,7 @@ def get_num_mid_agents(model): """return number of middle class agents""" mid_agents = [ - a - for a in model.schedule.agents - if a.loans < 10 and a.savings < model.rich_threshold + a for a in model.agents if a.loans < 10 and a.savings < model.rich_threshold ] return len(mid_agents) @@ -51,7 +49,7 @@ def get_num_mid_agents(model): def get_total_savings(model): """sum of all agents' savings""" - agent_savings = [a.savings for a in model.schedule.agents] + agent_savings = [a.savings for a in model.agents] # return the sum of agents' savings return np.sum(agent_savings) @@ -59,7 +57,7 @@ def get_total_savings(model): def get_total_wallets(model): """sum of amounts of all agents' wallets""" - agent_wallets = [a.wallet for a in model.schedule.agents] + agent_wallets = [a.wallet for a in model.agents] # return the sum of all agents' wallets return np.sum(agent_wallets) @@ -75,7 +73,7 @@ def get_total_money(model): def get_total_loans(model): # list of amounts of all agents' loans - agent_loans = [a.loans for a in model.schedule.agents] + agent_loans = [a.loans for a in model.agents] # return sum of all agents' loans return np.sum(agent_loans) @@ -118,7 +116,7 @@ def __init__( self.height = height self.width = width self.init_people = init_people - self.schedule = mesa.time.RandomActivation(self) + self.grid = mesa.space.MultiGrid(self.width, self.height, torus=True) # rich_threshold is the amount of savings a person needs to be considered "rich" self.rich_threshold = rich_threshold @@ -138,7 +136,7 @@ def __init__( ) # create a single bank for the model - self.bank = Bank(1, self, self.reserve_percent) + self.bank = Bank(self, self.reserve_percent) # create people for the model according to number of people set by user for i in range(self.init_people): @@ -148,15 +146,13 @@ def __init__( p = Person(i, self, True, self.bank, self.rich_threshold) # place the Person object on the grid at coordinates (x, y) self.grid.place_agent(p, (x, y)) - # add the Person object to the model schedule - self.schedule.add(p) self.running = True self.datacollector.collect(self) def step(self): # tell all the agents in the model to run their step function - self.schedule.step() + self.agents.shuffle().do("step") # collect data self.datacollector.collect(self) diff --git a/examples/bank_reserves/batch_run.py b/examples/bank_reserves/batch_run.py index 4a0115bb..9b06ce3c 100644 --- a/examples/bank_reserves/batch_run.py +++ b/examples/bank_reserves/batch_run.py @@ -37,7 +37,7 @@ def get_num_rich_agents(model): """list of rich agents""" - rich_agents = [a for a in model.schedule.agents if a.savings > model.rich_threshold] + rich_agents = [a for a in model.agents if a.savings > model.rich_threshold] # return number of rich agents return len(rich_agents) @@ -45,7 +45,7 @@ def get_num_rich_agents(model): def get_num_poor_agents(model): """list of poor agents""" - poor_agents = [a for a in model.schedule.agents if a.loans > 10] + poor_agents = [a for a in model.agents if a.loans > 10] # return number of poor agents return len(poor_agents) @@ -54,9 +54,7 @@ def get_num_mid_agents(model): """list of middle class agents""" mid_agents = [ - a - for a in model.schedule.agents - if a.loans < 10 and a.savings < model.rich_threshold + a for a in model.agents if a.loans < 10 and a.savings < model.rich_threshold ] # return number of middle class agents return len(mid_agents) @@ -65,7 +63,7 @@ def get_num_mid_agents(model): def get_total_savings(model): """list of amounts of all agents' savings""" - agent_savings = [a.savings for a in model.schedule.agents] + agent_savings = [a.savings for a in model.agents] # return the sum of agents' savings return np.sum(agent_savings) @@ -73,7 +71,7 @@ def get_total_savings(model): def get_total_wallets(model): """list of amounts of all agents' wallets""" - agent_wallets = [a.wallet for a in model.schedule.agents] + agent_wallets = [a.wallet for a in model.agents] # return the sum of all agents' wallets return np.sum(agent_wallets) @@ -91,7 +89,7 @@ def get_total_money(model): def get_total_loans(model): """list of amounts of all agents' loans""" - agent_loans = [a.loans for a in model.schedule.agents] + agent_loans = [a.loans for a in model.agents] # return sum of all agents' loans return np.sum(agent_loans) @@ -129,7 +127,7 @@ def __init__( self.height = height self.width = width self.init_people = init_people - self.schedule = mesa.time.RandomActivation(self) + self.grid = mesa.space.MultiGrid(self.width, self.height, torus=True) # rich_threshold is the amount of savings a person needs to be considered "rich" self.rich_threshold = rich_threshold @@ -150,8 +148,8 @@ def __init__( agent_reporters={"Wealth": "wealth"}, ) - # create a single bank for the model - self.bank = Bank(1, self, self.reserve_percent) + # create a single bank object for the model + self.bank = Bank(self, self.reserve_percent) # create people for the model according to number of people set by user for i in range(self.init_people): @@ -162,8 +160,6 @@ def __init__( p = Person(i, (x, y), self, True, self.bank, self.rich_threshold) # place the Person object on the grid at coordinates (x, y) self.grid.place_agent(p, (x, y)) - # add the Person object to the model schedule - self.schedule.add(p) self.running = True @@ -171,7 +167,7 @@ def step(self): # collect data self.datacollector.collect(self) # tell all the agents in the model to run their step function - self.schedule.step() + self.agents.shuffle().do("step") def run_model(self): for i in range(self.run_time): diff --git a/examples/boid_flockers/Flocker Test.ipynb b/examples/boid_flockers/Flocker Test.ipynb index 82ecc47b..c757f3a8 100644 --- a/examples/boid_flockers/Flocker Test.ipynb +++ b/examples/boid_flockers/Flocker Test.ipynb @@ -25,7 +25,7 @@ "def draw_boids(model):\n", " x_vals = []\n", " y_vals = []\n", - " for boid in model.schedule.agents:\n", + " for boid in model.agents:\n", " x, y = boid.pos\n", " x_vals.append(x)\n", " y_vals.append(y)\n", diff --git a/examples/boid_flockers/boid_flockers/SimpleContinuousModule.py b/examples/boid_flockers/boid_flockers/SimpleContinuousModule.py index 42b3e9dd..ec670d7a 100644 --- a/examples/boid_flockers/boid_flockers/SimpleContinuousModule.py +++ b/examples/boid_flockers/boid_flockers/SimpleContinuousModule.py @@ -18,7 +18,7 @@ def __init__(self, portrayal_method=None, canvas_height=500, canvas_width=500): def render(self, model): space_state = [] - for obj in model.schedule.agents: + 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) diff --git a/examples/boid_flockers/boid_flockers/model.py b/examples/boid_flockers/boid_flockers/model.py index 8ddfc11a..6b032c33 100644 --- a/examples/boid_flockers/boid_flockers/model.py +++ b/examples/boid_flockers/boid_flockers/model.py @@ -120,7 +120,7 @@ def __init__( self.vision = vision self.speed = speed self.separation = separation - self.schedule = mesa.time.RandomActivation(self) + self.space = mesa.space.ContinuousSpace(width, height, True) self.factors = {"cohere": cohere, "separate": separate, "match": match} self.make_agents() @@ -144,7 +144,6 @@ def make_agents(self): **self.factors, ) self.space.place_agent(boid, pos) - self.schedule.add(boid) def step(self): - self.schedule.step() + self.agents.shuffle().do("step") diff --git a/examples/boltzmann_wealth_model/boltzmann_wealth_model/model.py b/examples/boltzmann_wealth_model/boltzmann_wealth_model/model.py index 11a3e958..c34d0937 100644 --- a/examples/boltzmann_wealth_model/boltzmann_wealth_model/model.py +++ b/examples/boltzmann_wealth_model/boltzmann_wealth_model/model.py @@ -2,7 +2,7 @@ def compute_gini(model): - agent_wealths = [agent.wealth for agent in model.schedule.agents] + agent_wealths = [agent.wealth for agent in model.agents] x = sorted(agent_wealths) N = model.num_agents B = sum(xi * (N - i) for i, xi in enumerate(x)) / (N * sum(x)) @@ -21,14 +21,14 @@ def __init__(self, N=100, width=10, height=10): super().__init__() self.num_agents = N self.grid = mesa.space.MultiGrid(width, height, True) - self.schedule = mesa.time.RandomActivation(self) + self.datacollector = mesa.DataCollector( model_reporters={"Gini": compute_gini}, agent_reporters={"Wealth": "wealth"} ) # Create agents for i in range(self.num_agents): a = MoneyAgent(i, self) - self.schedule.add(a) + # Add the agent to a random grid cell x = self.random.randrange(self.grid.width) y = self.random.randrange(self.grid.height) @@ -38,7 +38,7 @@ def __init__(self, N=100, width=10, height=10): self.datacollector.collect(self) def step(self): - self.schedule.step() + self.agents.shuffle().do("step") # collect data self.datacollector.collect(self) diff --git a/examples/boltzmann_wealth_model_experimental/model.py b/examples/boltzmann_wealth_model_experimental/model.py index 11a3e958..c34d0937 100644 --- a/examples/boltzmann_wealth_model_experimental/model.py +++ b/examples/boltzmann_wealth_model_experimental/model.py @@ -2,7 +2,7 @@ def compute_gini(model): - agent_wealths = [agent.wealth for agent in model.schedule.agents] + agent_wealths = [agent.wealth for agent in model.agents] x = sorted(agent_wealths) N = model.num_agents B = sum(xi * (N - i) for i, xi in enumerate(x)) / (N * sum(x)) @@ -21,14 +21,14 @@ def __init__(self, N=100, width=10, height=10): super().__init__() self.num_agents = N self.grid = mesa.space.MultiGrid(width, height, True) - self.schedule = mesa.time.RandomActivation(self) + self.datacollector = mesa.DataCollector( model_reporters={"Gini": compute_gini}, agent_reporters={"Wealth": "wealth"} ) # Create agents for i in range(self.num_agents): a = MoneyAgent(i, self) - self.schedule.add(a) + # Add the agent to a random grid cell x = self.random.randrange(self.grid.width) y = self.random.randrange(self.grid.height) @@ -38,7 +38,7 @@ def __init__(self, N=100, width=10, height=10): self.datacollector.collect(self) def step(self): - self.schedule.step() + self.agents.shuffle().do("step") # collect data self.datacollector.collect(self) diff --git a/examples/boltzmann_wealth_model_network/boltzmann_wealth_model_network/model.py b/examples/boltzmann_wealth_model_network/boltzmann_wealth_model_network/model.py index d7b43374..73776e36 100644 --- a/examples/boltzmann_wealth_model_network/boltzmann_wealth_model_network/model.py +++ b/examples/boltzmann_wealth_model_network/boltzmann_wealth_model_network/model.py @@ -3,7 +3,7 @@ def compute_gini(model): - agent_wealths = [agent.wealth for agent in model.schedule.agents] + agent_wealths = [agent.wealth for agent in model.agents] x = sorted(agent_wealths) N = model.num_agents B = sum(xi * (N - i) for i, xi in enumerate(x)) / (N * sum(x)) @@ -19,7 +19,7 @@ def __init__(self, num_agents=7, num_nodes=10): self.num_nodes = num_nodes if num_nodes >= self.num_agents else self.num_agents self.G = nx.erdos_renyi_graph(n=self.num_nodes, p=0.5) self.grid = mesa.space.NetworkGrid(self.G) - self.schedule = mesa.time.RandomActivation(self) + self.datacollector = mesa.DataCollector( model_reporters={"Gini": compute_gini}, agent_reporters={"Wealth": lambda _: _.wealth}, @@ -30,7 +30,7 @@ def __init__(self, num_agents=7, num_nodes=10): # Create agents for i in range(self.num_agents): a = MoneyAgent(i, self) - self.schedule.add(a) + # Add the agent to a random node self.grid.place_agent(a, list_of_random_nodes[i]) @@ -38,7 +38,7 @@ def __init__(self, num_agents=7, num_nodes=10): self.datacollector.collect(self) def step(self): - self.schedule.step() + self.agents.shuffle().do("step") # collect data self.datacollector.collect(self) diff --git a/examples/caching_and_replay/model.py b/examples/caching_and_replay/model.py index 8b04368b..53b2a42c 100644 --- a/examples/caching_and_replay/model.py +++ b/examples/caching_and_replay/model.py @@ -70,7 +70,6 @@ def __init__( self.homophily = homophily self.radius = radius - self.schedule = mesa.time.RandomActivation(self) self.grid = mesa.space.SingleGrid(width, height, torus=True) self.happy = 0 @@ -87,7 +86,6 @@ def __init__( agent_type = 1 if self.random.random() < self.minority_pc else 0 agent = SchellingAgent(self.next_id(), self, agent_type) self.grid.place_agent(agent, pos) - self.schedule.add(agent) self.datacollector.collect(self) @@ -96,9 +94,9 @@ def step(self): Run one step of the model. """ self.happy = 0 # Reset counter of happy agents - self.schedule.step() + self.agents.shuffle().do("step") self.datacollector.collect(self) - if self.happy == self.schedule.get_agent_count(): + if self.happy == len(self.agents): self.running = False diff --git a/examples/charts/charts/agents.py b/examples/charts/charts/agents.py index 5d81a65c..1d561d5b 100644 --- a/examples/charts/charts/agents.py +++ b/examples/charts/charts/agents.py @@ -10,15 +10,18 @@ Northwestern University, Evanston, IL. """ -import mesa - from .random_walk import RandomWalker -class Bank(mesa.Agent): - def __init__(self, unique_id, model, reserve_percent=50): - # initialize the parent class with required parameters - super().__init__(unique_id, model) +class Bank: + """Note that the Bank class is not a Mesa Agent, but just a regular Python + class. This is because there is only one bank in this model, and it does not + use any Mesa-specific features like the scheduler or the grid, and doesn't + have a step method. It is just used to keep track of the bank's reserves and + the amount it can loan out, for Person agents to interact with.""" + + def __init__(self, model, reserve_percent=50): + self.model = model # for tracking total value of loans outstanding self.bank_loans = 0 """percent of deposits the bank must keep in reserves - this is set via @@ -173,7 +176,6 @@ def take_out_loan(self, amount): # increase the bank's outstanding loans self.bank.bank_loans += amount - # step is called for each agent in model.BankReservesModel.schedule.step() def step(self): # move to a cell in my Moore neighborhood self.random_move() diff --git a/examples/charts/charts/model.py b/examples/charts/charts/model.py index 00b6239a..616cf8be 100644 --- a/examples/charts/charts/model.py +++ b/examples/charts/charts/model.py @@ -26,14 +26,14 @@ def get_num_rich_agents(model): """return number of rich agents""" - rich_agents = [a for a in model.schedule.agents if a.savings > model.rich_threshold] + rich_agents = [a for a in model.agents if a.savings > model.rich_threshold] return len(rich_agents) def get_num_poor_agents(model): """return number of poor agents""" - poor_agents = [a for a in model.schedule.agents if a.loans > 10] + poor_agents = [a for a in model.agents if a.loans > 10] return len(poor_agents) @@ -41,9 +41,7 @@ def get_num_mid_agents(model): """return number of middle class agents""" mid_agents = [ - a - for a in model.schedule.agents - if a.loans < 10 and a.savings < model.rich_threshold + a for a in model.agents if a.loans < 10 and a.savings < model.rich_threshold ] return len(mid_agents) @@ -51,7 +49,7 @@ def get_num_mid_agents(model): def get_total_savings(model): """sum of all agents' savings""" - agent_savings = [a.savings for a in model.schedule.agents] + agent_savings = [a.savings for a in model.agents] # return the sum of agents' savings return np.sum(agent_savings) @@ -59,7 +57,7 @@ def get_total_savings(model): def get_total_wallets(model): """sum of amounts of all agents' wallets""" - agent_wallets = [a.wallet for a in model.schedule.agents] + agent_wallets = [a.wallet for a in model.agents] # return the sum of all agents' wallets return np.sum(agent_wallets) @@ -75,7 +73,7 @@ def get_total_money(model): def get_total_loans(model): # list of amounts of all agents' loans - agent_loans = [a.loans for a in model.schedule.agents] + agent_loans = [a.loans for a in model.agents] # return sum of all agents' loans return np.sum(agent_loans) @@ -101,7 +99,7 @@ def __init__( self.height = height self.width = width self.init_people = init_people - self.schedule = mesa.time.RandomActivation(self) + self.grid = mesa.space.MultiGrid(self.width, self.height, torus=True) # rich_threshold is the amount of savings a person needs to be considered "rich" self.rich_threshold = rich_threshold @@ -121,7 +119,7 @@ def __init__( ) # create a single bank for the model - self.bank = Bank(1, self, self.reserve_percent) + self.bank = Bank(self, self.reserve_percent) # create people for the model according to number of people set by user for i in range(self.init_people): @@ -131,15 +129,13 @@ def __init__( p = Person(i, self, True, self.bank, self.rich_threshold) # place the Person object on the grid at coordinates (x, y) self.grid.place_agent(p, (x, y)) - # add the Person object to the model schedule - self.schedule.add(p) self.running = True self.datacollector.collect(self) def step(self): # tell all the agents in the model to run their step function - self.schedule.step() + self.agents.shuffle().do("step") # collect data self.datacollector.collect(self) diff --git a/examples/color_patches/color_patches/model.py b/examples/color_patches/color_patches/model.py index 4e69b965..d8787304 100644 --- a/examples/color_patches/color_patches/model.py +++ b/examples/color_patches/color_patches/model.py @@ -36,7 +36,7 @@ def get_state(self): """Return the current state (OPINION) of this cell.""" return self._state - def step(self): + def determine_opinion(self): """ Determines the agent opinion for the next step by polling its neighbors The opinion is determined by the majority of the 8 neighbors' opinion @@ -54,7 +54,7 @@ def step(self): self._next_state = self.random.choice(tied_opinions)[0] - def advance(self): + def assume_opinion(self): """ Set the state of the agent to the next state """ @@ -73,7 +73,6 @@ def __init__(self, width=20, height=20): """ super().__init__() self._grid = mesa.space.SingleGrid(width, height, torus=False) - self.schedule = mesa.time.SimultaneousActivation(self) # self._grid.coord_iter() # --> should really not return content + col + row @@ -85,23 +84,17 @@ def __init__(self, width=20, height=20): (row, col), self, ColorCell.OPINIONS[self.random.randrange(0, 16)] ) self._grid.place_agent(cell, (row, col)) - self.schedule.add(cell) self.running = True def step(self): """ - Advance the model one step. + Perform the model step in two stages: + - First, all agents determine their next opinion based on their neighbors current opinions + - Then, all agents update their opinion to the next opinion """ - self.schedule.step() - - # the following is a temporary fix for the framework classes accessing - # model attributes directly - # I don't think it should - # --> it imposes upon the model builder to use the attributes names that - # the framework expects. - # - # Traceback included in docstrings + self.agents.do("determine_opinion") + self.agents.do("assume_opinion") @property def grid(self): diff --git a/examples/conways_game_of_life/conways_game_of_life/cell.py b/examples/conways_game_of_life/conways_game_of_life/cell.py index 8639288d..d9e0e7ba 100644 --- a/examples/conways_game_of_life/conways_game_of_life/cell.py +++ b/examples/conways_game_of_life/conways_game_of_life/cell.py @@ -24,7 +24,7 @@ def isAlive(self): def neighbors(self): return self.model.grid.iter_neighbors((self.x, self.y), True) - def step(self): + def determine_state(self): """ Compute if the cell will be dead or alive at the next tick. This is based on the number of alive or dead neighbors. The state is not @@ -46,7 +46,7 @@ def step(self): if live_neighbors == 3: self._nextState = self.ALIVE - def advance(self): + def assume_state(self): """ Set the state to the new computed state -- computed in step(). """ diff --git a/examples/conways_game_of_life/conways_game_of_life/model.py b/examples/conways_game_of_life/conways_game_of_life/model.py index f6c9637a..76d9ca9f 100644 --- a/examples/conways_game_of_life/conways_game_of_life/model.py +++ b/examples/conways_game_of_life/conways_game_of_life/model.py @@ -14,15 +14,6 @@ def __init__(self, width=50, height=50): Create a new playing area of (width, height) cells. """ super().__init__() - - # Set up the grid and schedule. - - # Use SimultaneousActivation which simulates all the cells - # computing their next state simultaneously. This needs to - # be done because each cell's next state depends on the current - # state of all its neighbors -- before they've changed. - self.schedule = mesa.time.SimultaneousActivation(self) - # Use a simple grid, where edges wrap around. self.grid = mesa.space.SingleGrid(width, height, torus=True) @@ -33,12 +24,14 @@ def __init__(self, width=50, height=50): if self.random.random() < 0.1: cell.state = cell.ALIVE self.grid.place_agent(cell, (x, y)) - self.schedule.add(cell) self.running = True def step(self): """ - Have the scheduler advance each cell by one step + Perform the model step in two stages: + - First, all cells assume their next state (whether they will be dead or alive) + - Then, all cells change state to their next state """ - self.schedule.step() + self.agents.do("determine_state") + self.agents.do("assume_state") diff --git a/examples/el_farol/el_farol/agents.py b/examples/el_farol/el_farol/agents.py index 638269d7..77742d40 100644 --- a/examples/el_farol/el_farol/agents.py +++ b/examples/el_farol/el_farol/agents.py @@ -14,7 +14,7 @@ def __init__(self, unique_id, model, memory_size, crowd_threshold, num_strategie self.utility = 0 self.update_strategies() - def step(self): + def update_attendance(self): prediction = self.predict_attendance( self.best_strategy, self.model.history[-self.memory_size :] ) diff --git a/examples/el_farol/el_farol/model.py b/examples/el_farol/el_farol/model.py index c9a3d6c0..2eee8088 100644 --- a/examples/el_farol/el_farol/model.py +++ b/examples/el_farol/el_farol/model.py @@ -15,7 +15,6 @@ def __init__( super().__init__() self.running = True self.num_agents = N - self.schedule = mesa.time.RandomActivation(self) # Initialize the previous attendance randomly so the agents have a history # to work with from the start. @@ -25,8 +24,8 @@ def __init__( self.history = np.random.randint(0, 100, size=memory_size * 2).tolist() self.attendance = self.history[-1] for i in range(self.num_agents): - a = BarCustomer(i, self, memory_size, crowd_threshold, num_strategies) - self.schedule.add(a) + BarCustomer(i, self, memory_size, crowd_threshold, num_strategies) + self.datacollector = mesa.DataCollector( model_reporters={"Customers": "attendance"}, agent_reporters={"Utility": "utility", "Attendance": "attend"}, @@ -35,10 +34,9 @@ def __init__( def step(self): self.datacollector.collect(self) self.attendance = 0 - self.schedule.step() + self.agents.shuffle().do("update_attendance") # We ensure that the length of history is constant # after each step. self.history.pop(0) self.history.append(self.attendance) - for agent in self.schedule.agents: - agent.update_strategies() + self.agents.shuffle().do("update_strategies") diff --git a/examples/epstein_civil_violence/epstein_civil_violence/model.py b/examples/epstein_civil_violence/epstein_civil_violence/model.py index 6bce24eb..70b3a841 100644 --- a/examples/epstein_civil_violence/epstein_civil_violence/model.py +++ b/examples/epstein_civil_violence/epstein_civil_violence/model.py @@ -58,7 +58,7 @@ def __init__( self.movement = movement self.max_iters = max_iters self.iteration = 0 - self.schedule = mesa.time.RandomActivation(self) + self.grid = mesa.space.SingleGrid(width, height, torus=True) model_reporters = { @@ -86,7 +86,7 @@ def __init__( cop = Cop(unique_id, self, (x, y), vision=self.cop_vision) unique_id += 1 self.grid[x][y] = cop - self.schedule.add(cop) + elif self.random.random() < (self.cop_density + self.citizen_density): citizen = Citizen( unique_id, @@ -100,7 +100,6 @@ def __init__( ) unique_id += 1 self.grid[x][y] = citizen - self.schedule.add(citizen) self.running = True self.datacollector.collect(self) @@ -109,7 +108,7 @@ def step(self): """ Advance the model by one step and collect data. """ - self.schedule.step() + self.agents.shuffle().do("step") # collect data self.datacollector.collect(self) self.iteration += 1 @@ -122,7 +121,7 @@ def count_type_citizens(model, condition, exclude_jailed=True): Helper method to count agents by Quiescent/Active. """ count = 0 - for agent in model.schedule.agents: + for agent in model.agents: if agent.breed == "cop": continue if exclude_jailed and agent.jail_sentence > 0: @@ -137,7 +136,7 @@ def count_jailed(model): Helper method to count jailed agents. """ count = 0 - for agent in model.schedule.agents: + for agent in model.agents: if agent.breed == "citizen" and agent.jail_sentence > 0: count += 1 return count @@ -148,7 +147,7 @@ def count_cops(model): Helper method to count jailed agents. """ count = 0 - for agent in model.schedule.agents: + for agent in model.agents: if agent.breed == "cop": count += 1 return count diff --git a/examples/forest_fire/Forest Fire Model.ipynb b/examples/forest_fire/Forest Fire Model.ipynb index afe4142a..28fc06f3 100644 --- a/examples/forest_fire/Forest Fire Model.ipynb +++ b/examples/forest_fire/Forest Fire Model.ipynb @@ -35,8 +35,7 @@ "from mesa import Agent, Model\n", "from mesa.batchrunner import BatchRunner\n", "from mesa.datacollection import DataCollector\n", - "from mesa.space import Grid\n", - "from mesa.time import RandomActivation" + "from mesa.space import Grid" ] }, { @@ -129,7 +128,6 @@ " density: What fraction of grid cells have a tree in them.\n", " \"\"\"\n", " # Set up model objects\n", - " self.schedule = RandomActivation(self)\n", " self.grid = Grid(width, height, torus=False)\n", " self.dc = DataCollector(\n", " {\n", @@ -149,14 +147,13 @@ " if x == 0:\n", " new_tree.condition = \"On Fire\"\n", " self.grid[x][y] = new_tree\n", - " self.schedule.add(new_tree)\n", " self.running = True\n", "\n", " def step(self):\n", " \"\"\"\n", " Advance the model by one step.\n", " \"\"\"\n", - " self.schedule.step()\n", + " self.agents.shuffle().do(\"step\")\n", " self.dc.collect(self)\n", " # Halt if no more fire\n", " if self.count_type(self, \"On Fire\") == 0:\n", @@ -168,7 +165,7 @@ " Helper method to count trees in a given condition in a given model.\n", " \"\"\"\n", " count = 0\n", - " for tree in model.schedule.agents:\n", + " for tree in model.agents:\n", " if tree.condition == tree_condition:\n", " count += 1\n", " return count" @@ -339,9 +336,7 @@ "source": [ "# At the end of each model run, calculate the fraction of trees which are Burned Out\n", "model_reporter = {\n", - " \"BurnedOut\": lambda m: (\n", - " ForestFire.count_type(m, \"Burned Out\") / m.schedule.get_agent_count()\n", - " )\n", + " \"BurnedOut\": lambda m: (ForestFire.count_type(m, \"Burned Out\") / len(m.agents))\n", "}" ] }, diff --git a/examples/forest_fire/forest_fire/model.py b/examples/forest_fire/forest_fire/model.py index 4b2d5b41..33bac16f 100644 --- a/examples/forest_fire/forest_fire/model.py +++ b/examples/forest_fire/forest_fire/model.py @@ -18,7 +18,7 @@ def __init__(self, width=100, height=100, density=0.65): """ super().__init__() # Set up model objects - self.schedule = mesa.time.RandomActivation(self) + self.grid = mesa.space.SingleGrid(width, height, torus=False) self.datacollector = mesa.DataCollector( @@ -38,7 +38,6 @@ def __init__(self, width=100, height=100, density=0.65): if x == 0: new_tree.condition = "On Fire" self.grid.place_agent(new_tree, (x, y)) - self.schedule.add(new_tree) self.running = True self.datacollector.collect(self) @@ -47,7 +46,7 @@ def step(self): """ Advance the model by one step. """ - self.schedule.step() + self.agents.shuffle().do("step") # collect data self.datacollector.collect(self) @@ -61,7 +60,7 @@ def count_type(model, tree_condition): Helper method to count trees in a given condition in a given model. """ count = 0 - for tree in model.schedule.agents: + for tree in model.agents: if tree.condition == tree_condition: count += 1 return count diff --git a/examples/hex_snowflake/hex_snowflake/cell.py b/examples/hex_snowflake/hex_snowflake/cell.py index a9fd64ec..1c9c35df 100644 --- a/examples/hex_snowflake/hex_snowflake/cell.py +++ b/examples/hex_snowflake/hex_snowflake/cell.py @@ -29,7 +29,7 @@ def neighbors(self): def considered(self): return self.isConsidered is True - def step(self): + def determine_state(self): """ Compute if the cell will be dead or alive at the next tick. A dead cell will become alive if it has only one neighbor. The state is not @@ -53,8 +53,8 @@ def step(self): for a in self.neighbors: a.isConsidered = True - def advance(self): + def assume_state(self): """ - Set the state to the new computed state -- computed in step(). + Set the state to the new computed state """ self.state = self._nextState diff --git a/examples/hex_snowflake/hex_snowflake/model.py b/examples/hex_snowflake/hex_snowflake/model.py index 329bfe11..349d41b0 100644 --- a/examples/hex_snowflake/hex_snowflake/model.py +++ b/examples/hex_snowflake/hex_snowflake/model.py @@ -14,14 +14,6 @@ def __init__(self, width=50, height=50): Create a new playing area of (width, height) cells. """ super().__init__() - # Set up the grid and schedule. - - # Use SimultaneousActivation which simulates all the cells - # computing their next state simultaneously. This needs to - # be done because each cell's next state depends on the current - # state of all its neighbors -- before they've changed. - self.schedule = mesa.time.SimultaneousActivation(self) - # Use a hexagonal grid, where edges wrap around. self.grid = mesa.space.HexSingleGrid(width, height, torus=True) @@ -29,7 +21,6 @@ def __init__(self, width=50, height=50): for contents, pos in self.grid.coord_iter(): cell = Cell(pos, self) self.grid.place_agent(cell, pos) - self.schedule.add(cell) # activate the center(ish) cell. centerishCell = self.grid[width // 2][height // 2] @@ -42,6 +33,9 @@ def __init__(self, width=50, height=50): def step(self): """ - Have the scheduler advance each cell by one step + Perform the model step in two stages: + - First, all cells assume their next state (whether they will be dead or alive) + - Then, all cells change state to their next state """ - self.schedule.step() + self.agents.do("determine_state") + self.agents.do("assume_state") diff --git a/examples/hotelling_law/app.py b/examples/hotelling_law/app.py index 60c3dbca..3b1d8ef2 100644 --- a/examples/hotelling_law/app.py +++ b/examples/hotelling_law/app.py @@ -121,7 +121,7 @@ def space_drawer(model, agent_portrayal): cell_store_contents = {} # Track store agents in each cell jitter_amount = 0.3 # Jitter for visual separation - for agent in model.schedule.agents: + for agent in model.agents: portrayal = agent_portrayal(agent) # Track store agents for cell coloring @@ -150,7 +150,7 @@ def space_drawer(model, agent_portrayal): ax.add_patch(rect) # Jittered scatter plot for all agents - for agent in model.schedule.agents: + for agent in model.agents: portrayal = agent_portrayal(agent) jitter_x = np.random.uniform(-jitter_amount, jitter_amount) + agent.pos[0] + 0.5 jitter_y = np.random.uniform(-jitter_amount, jitter_amount) + agent.pos[1] + 0.5 @@ -177,9 +177,7 @@ def make_market_share_and_price_chart(model): # Get store agents and sort them by their unique_id # to ensure consistent order - store_agents = [ - agent for agent in model.schedule.agents if isinstance(agent, StoreAgent) - ] + store_agents = [agent for agent in model.agents if isinstance(agent, StoreAgent)] store_agents_sorted = sorted(store_agents, key=lambda agent: agent.unique_id) # Now gather market shares, prices, and labels using the sorted list @@ -241,7 +239,7 @@ def make_price_changes_line_chart(model): # Retrieve agent colors based on their portrayal agent_colors = { f"Store_{agent.unique_id}_Price": agent_portrayal(agent)["color"] - for agent in model.schedule.agents + for agent in model.agents if isinstance(agent, StoreAgent) } @@ -277,7 +275,7 @@ def make_market_share_line_chart(model): # Retrieve agent colors based on their portrayal agent_colors = { f"Store_{agent.unique_id}_Market Share": agent_portrayal(agent)["color"] - for agent in model.schedule.agents + for agent in model.agents if isinstance(agent, StoreAgent) } @@ -313,7 +311,7 @@ def make_revenue_line_chart(model): # Retrieve agent colors based on their portrayal agent_colors = { f"Store_{agent.unique_id}_Revenue": agent_portrayal(agent)["color"] - for agent in model.schedule.agents + for agent in model.agents if isinstance(agent, StoreAgent) } diff --git a/examples/hotelling_law/hotelling_law/agents.py b/examples/hotelling_law/hotelling_law/agents.py index 62d8cc8d..f4300711 100644 --- a/examples/hotelling_law/hotelling_law/agents.py +++ b/examples/hotelling_law/hotelling_law/agents.py @@ -119,7 +119,7 @@ def adjust_price(self): def identify_competitors(self): competitors = [] - for agent in self.model.schedule.agents: + for agent in self.model.agents: if isinstance(agent, StoreAgent) and agent.unique_id != self.unique_id: # Estimate market overlap as a measure of competition overlap = self.estimate_market_overlap(agent) diff --git a/examples/hotelling_law/hotelling_law/model.py b/examples/hotelling_law/hotelling_law/model.py index 40c19b81..dd1ad704 100644 --- a/examples/hotelling_law/hotelling_law/model.py +++ b/examples/hotelling_law/hotelling_law/model.py @@ -5,7 +5,6 @@ from mesa.agent import AgentSet from mesa.datacollection import DataCollector from mesa.space import MultiGrid -from mesa.time import RandomActivation from .agents import ConsumerAgent, StoreAgent @@ -94,8 +93,6 @@ def __init__( self.consumer_preferences = consumer_preferences # Type of environment ('grid' or 'line'). self.environment_type = environment_type - # Scheduler to activate agents one at a time, in random order. - self.schedule = RandomActivation(self) # Initialize AgentSets for store and consumer agents self.store_agents = AgentSet([], self) self.consumer_agents = AgentSet([], self) @@ -188,7 +185,7 @@ def _initialize_agents(self): mobile_agents_assigned += 1 agent = StoreAgent(unique_id, self, can_move=can_move, strategy=strategy) - self.schedule.add(agent) + self.store_agents.add(agent) # Randomly place agents on the grid for a grid environment. @@ -200,7 +197,7 @@ def _initialize_agents(self): for i in range(self.num_consumers): # Ensure unique ID across all agents consumer = ConsumerAgent(self.num_agents + i, self) - self.schedule.add(consumer) + self.consumer_agents.add(consumer) # Place consumer randomly on the grid x = self.random.randrange(self.grid.width) @@ -218,8 +215,8 @@ def step(self): """Advance the model by one step.""" # Collect data for the current step. self.datacollector.collect(self) - # Activate the next agent in the schedule. - self.schedule.step() + # Activate all agents in random order + self.agents.shuffle().do("step") # Update market dynamics based on the latest actions self.recalculate_market_share() diff --git a/examples/schelling/model.py b/examples/schelling/model.py index dfba4efb..5aa71415 100644 --- a/examples/schelling/model.py +++ b/examples/schelling/model.py @@ -68,7 +68,6 @@ def __init__( self.homophily = homophily self.radius = radius - self.schedule = mesa.time.RandomActivation(self) self.grid = mesa.space.SingleGrid(width, height, torus=True) self.happy = 0 @@ -85,7 +84,6 @@ def __init__( agent_type = 1 if self.random.random() < self.minority_pc else 0 agent = SchellingAgent(self.next_id(), self, agent_type) self.grid.place_agent(agent, pos) - self.schedule.add(agent) self.datacollector.collect(self) @@ -94,9 +92,9 @@ def step(self): Run one step of the model. """ self.happy = 0 # Reset counter of happy agents - self.schedule.step() + self.agents.shuffle().do("step") self.datacollector.collect(self) - if self.happy == self.schedule.get_agent_count(): + if self.happy == len(self.agents): self.running = False diff --git a/examples/shape_example/shape_example/model.py b/examples/shape_example/shape_example/model.py index d1fdbe97..85678bce 100644 --- a/examples/shape_example/shape_example/model.py +++ b/examples/shape_example/shape_example/model.py @@ -14,7 +14,7 @@ def __init__(self, N=2, width=20, height=10): self.N = N # num of agents self.headings = ((1, 0), (0, 1), (-1, 0), (0, -1)) # tuples are fast self.grid = mesa.space.SingleGrid(width, height, torus=False) - self.schedule = mesa.time.RandomActivation(self) + self.make_walker_agents() self.running = True @@ -31,9 +31,9 @@ def make_walker_agents(self): if self.grid.is_cell_empty(pos): print(f"Creating agent {unique_id} at ({x}, {y})") a = Walker(unique_id, self, heading) - self.schedule.add(a) + self.grid.place_agent(a, pos) unique_id += 1 def step(self): - self.schedule.step() + self.agents.shuffle().do("step") diff --git a/examples/virus_on_network/virus_on_network/model.py b/examples/virus_on_network/virus_on_network/model.py index a33e7545..7c69bdcd 100644 --- a/examples/virus_on_network/virus_on_network/model.py +++ b/examples/virus_on_network/virus_on_network/model.py @@ -47,7 +47,7 @@ def __init__( prob = avg_node_degree / self.num_nodes self.G = nx.erdos_renyi_graph(n=self.num_nodes, p=prob) self.grid = mesa.space.NetworkGrid(self.G) - self.schedule = mesa.time.RandomActivation(self) + self.initial_outbreak_size = ( initial_outbreak_size if initial_outbreak_size <= num_nodes else num_nodes ) @@ -75,7 +75,7 @@ def __init__( self.recovery_chance, self.gain_resistance_chance, ) - self.schedule.add(a) + # Add the agent to the node self.grid.place_agent(a, node) @@ -96,7 +96,7 @@ def resistant_susceptible_ratio(self): return math.inf def step(self): - self.schedule.step() + self.agents.shuffle().do("step") # collect data self.datacollector.collect(self) From 3d29e4c215154396e20a5a39a09b8a4043b22de6 Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Fri, 30 Aug 2024 10:34:08 +0200 Subject: [PATCH 57/82] test_examples: assert model.steps == 10 Confirm that model.steps is correctly increased to 10, and not some other value --- test_examples.py | 1 + 1 file changed, 1 insertion(+) diff --git a/test_examples.py b/test_examples.py index 50a46228..41de5eb1 100644 --- a/test_examples.py +++ b/test_examples.py @@ -32,3 +32,4 @@ def test_model_steps(model_class): model = model_class() # Assume no arguments are needed for _ in range(10): model.step() + assert model.steps == 10 From dee63636b03f2568bfb4cce14a8d61d0c701113b Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Mon, 2 Sep 2024 13:30:28 +0200 Subject: [PATCH 58/82] gis: Use gzip.open opener in RasterLayer.from_file (#184) Use pass the new rio_opener argument with gzip.open in RasterLayer.from_file(). This prevents having to do the weird /vsigzip/ stuff. Note that urban_growth uses the rasterio opener directly, while the other two examples pass it via the mesa_geo.raster_layers.RasterLayer.open_file() method. --- gis/population/population/space.py | 4 +++- gis/rainfall/rainfall/space.py | 5 ++++- gis/urban_growth/urban_growth/space.py | 3 ++- 3 files changed, 9 insertions(+), 3 deletions(-) diff --git a/gis/population/population/space.py b/gis/population/population/space.py index 6dce4b2c..3549d9be 100644 --- a/gis/population/population/space.py +++ b/gis/population/population/space.py @@ -1,5 +1,6 @@ from __future__ import annotations +import gzip import uuid import geopandas as gpd @@ -36,9 +37,10 @@ def __init__(self, crs): def load_data(self, population_gzip_file, lake_zip_file, world_zip_file, model): world_size = gpd.GeoDataFrame.from_file(world_zip_file) raster_layer = RasterLayer.from_file( - f"/vsigzip/{population_gzip_file}", + population_gzip_file, cell_cls=UgandaCell, attr_name="population", + rio_opener=gzip.open, ) raster_layer.crs = world_size.crs raster_layer.total_bounds = world_size.total_bounds diff --git a/gis/rainfall/rainfall/space.py b/gis/rainfall/rainfall/space.py index 77e9dccd..87b35380 100644 --- a/gis/rainfall/rainfall/space.py +++ b/gis/rainfall/rainfall/space.py @@ -1,5 +1,7 @@ from __future__ import annotations +import gzip + import mesa import mesa_geo as mg import numpy as np @@ -34,9 +36,10 @@ def __init__(self, crs, water_height, model): def set_elevation_layer(self, elevation_gzip_file, crs): raster_layer = mg.RasterLayer.from_file( - f"/vsigzip/{elevation_gzip_file}", + elevation_gzip_file, cell_cls=LakeCell, attr_name="elevation", + rio_opener=gzip.open, ) raster_layer.crs = crs raster_layer.apply_raster( diff --git a/gis/urban_growth/urban_growth/space.py b/gis/urban_growth/urban_growth/space.py index ee065e6b..7e132d79 100644 --- a/gis/urban_growth/urban_growth/space.py +++ b/gis/urban_growth/urban_growth/space.py @@ -1,5 +1,6 @@ from __future__ import annotations +import gzip import random import mesa @@ -96,7 +97,7 @@ def load_datasets( "land_use": land_use_data, } for attribute_name, data_file in data.items(): - with rio.open(f"/vsigzip/{data_file}", "r") as dataset: + with rio.open(data_file, "r", opener=gzip.open) as dataset: values = dataset.read() self.raster_layer.apply_raster(values, attr_name=attribute_name) From 89f9379d40da872dbef68a4f4b608697845cf00d Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Mon, 2 Sep 2024 22:48:29 +0200 Subject: [PATCH 59/82] gis: Pass model to RasterLayer.from_file (#186) Fixes the population and rainfall models by passing model to RasterLayer.from_file(). > The RasterLayer creates Cells, Cells inherit from Agents, Agents need model input, but RasterLayer doesn't have access to model. --- gis/population/population/space.py | 1 + gis/rainfall/rainfall/space.py | 1 + 2 files changed, 2 insertions(+) diff --git a/gis/population/population/space.py b/gis/population/population/space.py index 3549d9be..e2747e19 100644 --- a/gis/population/population/space.py +++ b/gis/population/population/space.py @@ -38,6 +38,7 @@ def load_data(self, population_gzip_file, lake_zip_file, world_zip_file, model): world_size = gpd.GeoDataFrame.from_file(world_zip_file) raster_layer = RasterLayer.from_file( population_gzip_file, + model=model, cell_cls=UgandaCell, attr_name="population", rio_opener=gzip.open, diff --git a/gis/rainfall/rainfall/space.py b/gis/rainfall/rainfall/space.py index 87b35380..3ae8ab83 100644 --- a/gis/rainfall/rainfall/space.py +++ b/gis/rainfall/rainfall/space.py @@ -37,6 +37,7 @@ def __init__(self, crs, water_height, model): def set_elevation_layer(self, elevation_gzip_file, crs): raster_layer = mg.RasterLayer.from_file( elevation_gzip_file, + model=self.model, cell_cls=LakeCell, attr_name="elevation", rio_opener=gzip.open, From 6312ebe75af363ce711ce8c07a70830c076e4fd5 Mon Sep 17 00:00:00 2001 From: Wang Boyu Date: Mon, 2 Sep 2024 16:39:36 -0400 Subject: [PATCH 60/82] add model default params for agents-networks gis example --- gis/agents_and_networks/src/model/model.py | 19 +++++++++++-------- 1 file changed, 11 insertions(+), 8 deletions(-) diff --git a/gis/agents_and_networks/src/model/model.py b/gis/agents_and_networks/src/model/model.py index e0b03114..15c0c297 100644 --- a/gis/agents_and_networks/src/model/model.py +++ b/gis/agents_and_networks/src/model/model.py @@ -1,5 +1,6 @@ import uuid from functools import partial +from pathlib import Path import geopandas as gpd import mesa @@ -13,6 +14,8 @@ from ..space.campus import Campus from ..space.road_network import CampusWalkway +script_directory = Path(__file__).resolve().parent + def get_time(model) -> pd.Timedelta: return pd.Timedelta(days=model.day, hours=model.hour, minutes=model.minute) @@ -59,14 +62,14 @@ class AgentsAndNetworks(mesa.Model): def __init__( self, - campus: str, - data_crs: str, - buildings_file: str, - walkway_file: str, - lakes_file: str, - rivers_file: str, - driveway_file: str, - num_commuters, + campus="ub", + data_crs="epsg:4326", + buildings_file=script_directory / "../../data/ub/UB_bld.zip", + walkway_file=script_directory / "../../data/ub/UB_walkway_line.zip", + lakes_file=script_directory / "../../data/ub/hydrop.zip", + rivers_file=script_directory / "../../data/ub/hydrol.zip", + driveway_file=script_directory / "../../data/data/ub/UB_Rds.zip", + num_commuters=50, commuter_min_friends=5, commuter_max_friends=10, commuter_happiness_increase=0.5, From f24626e4dac359fd3d3c23e3db8e154497140cd8 Mon Sep 17 00:00:00 2001 From: Wang Boyu Date: Mon, 2 Sep 2024 19:11:51 -0400 Subject: [PATCH 61/82] fix unhashable type error in agents-networks gis example --- gis/agents_and_networks/src/agent/building.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/gis/agents_and_networks/src/agent/building.py b/gis/agents_and_networks/src/agent/building.py index cc260a3b..7a18bddc 100644 --- a/gis/agents_and_networks/src/agent/building.py +++ b/gis/agents_and_networks/src/agent/building.py @@ -35,3 +35,6 @@ def __eq__(self, other): if isinstance(other, Building): return self.unique_id == other.unique_id return False + + def __hash__(self) -> int: + return hash(self.unique_id) From 679b677c42767b78244e89cf34cc1eb8e1c2622a Mon Sep 17 00:00:00 2001 From: Wang Boyu Date: Mon, 2 Sep 2024 20:02:40 -0400 Subject: [PATCH 62/82] set output_dir parameter for agents-networks gis example --- gis/agents_and_networks/scripts/run.py | 1 + gis/agents_and_networks/src/model/model.py | 11 ++++++++--- gis/agents_and_networks/src/space/road_network.py | 4 ++-- 3 files changed, 11 insertions(+), 5 deletions(-) diff --git a/gis/agents_and_networks/scripts/run.py b/gis/agents_and_networks/scripts/run.py index 1a4a71a3..8aa0712d 100644 --- a/gis/agents_and_networks/scripts/run.py +++ b/gis/agents_and_networks/scripts/run.py @@ -39,6 +39,7 @@ def make_parser(): "lakes_file": f"data/{args.campus}/hydrop.zip", "rivers_file": f"data/{args.campus}/hydrol.zip", "driveway_file": f"data/{args.campus}/{data_file_prefix}_Rds.zip", + "output_dir": "outputs", "show_walkway": True, "show_lakes_and_rivers": True, "show_driveway": True, diff --git a/gis/agents_and_networks/src/model/model.py b/gis/agents_and_networks/src/model/model.py index 15c0c297..4fad3fe0 100644 --- a/gis/agents_and_networks/src/model/model.py +++ b/gis/agents_and_networks/src/model/model.py @@ -69,6 +69,7 @@ def __init__( lakes_file=script_directory / "../../data/ub/hydrop.zip", rivers_file=script_directory / "../../data/ub/hydrol.zip", driveway_file=script_directory / "../../data/data/ub/UB_Rds.zip", + output_dir=script_directory / "../../outputs", num_commuters=50, commuter_min_friends=5, commuter_max_friends=10, @@ -97,7 +98,9 @@ def __init__( Commuter.CHANCE_NEW_FRIEND = chance_new_friend self._load_buildings_from_file(buildings_file, crs=model_crs, campus=campus) - self._load_road_vertices_from_file(walkway_file, crs=model_crs, campus=campus) + self._load_road_vertices_from_file( + walkway_file, crs=model_crs, campus=campus, output_dir=output_dir + ) self._set_building_entrance() self.got_to_destination = 0 self._create_commuters() @@ -167,14 +170,16 @@ def _load_buildings_from_file( self.space.add_buildings(buildings) def _load_road_vertices_from_file( - self, walkway_file: str, crs: str, campus: str + self, walkway_file: str, crs: str, campus: str, output_dir: str ) -> None: walkway_df = ( gpd.read_file(walkway_file) .set_crs(self.data_crs, allow_override=True) .to_crs(crs) ) - self.walkway = CampusWalkway(campus=campus, lines=walkway_df["geometry"]) + self.walkway = CampusWalkway( + campus=campus, lines=walkway_df["geometry"], output_dir=output_dir + ) if self.show_walkway: walkway_creator = mg.AgentCreator(Walkway, model=self) walkway = walkway_creator.from_GeoDataFrame(walkway_df) diff --git a/gis/agents_and_networks/src/space/road_network.py b/gis/agents_and_networks/src/space/road_network.py index be5e1cb8..4c260afa 100644 --- a/gis/agents_and_networks/src/space/road_network.py +++ b/gis/agents_and_networks/src/space/road_network.py @@ -64,10 +64,10 @@ class CampusWalkway(RoadNetwork): list[mesa.space.FloatCoordinate], ] - def __init__(self, campus, lines) -> None: + def __init__(self, campus, lines, output_dir) -> None: super().__init__(lines) self.campus = campus - self._path_cache_result = f"outputs/{campus}_path_cache_result.pkl" + self._path_cache_result = f"{output_dir}/{campus}_path_cache_result.pkl" try: with open(self._path_cache_result, "rb") as cached_result: self._path_select_cache = pickle.load(cached_result) From 330b4d9c8e44127b3c4b89603972a46dd5ec39b9 Mon Sep 17 00:00:00 2001 From: "pre-commit-ci[bot]" <66853113+pre-commit-ci[bot]@users.noreply.github.com> Date: Tue, 3 Sep 2024 08:56:49 +0200 Subject: [PATCH 63/82] [pre-commit.ci] pre-commit autoupdate (#188) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit updates: - [github.com/astral-sh/ruff-pre-commit: v0.5.6 → v0.6.3](https://github.com/astral-sh/ruff-pre-commit/compare/v0.5.6...v0.6.3) Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> --- .pre-commit-config.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index f9067f01..c6d54026 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -4,7 +4,7 @@ ci: repos: - repo: https://github.com/astral-sh/ruff-pre-commit # Ruff version. - rev: v0.5.6 + rev: v0.6.3 hooks: # Run the linter. # TODO fix the lint issues for the Jupyter notebooks From aca30a23287c77da91601c8df72ea20d5ee19b21 Mon Sep 17 00:00:00 2001 From: Wang Boyu Date: Tue, 3 Sep 2024 10:04:52 -0400 Subject: [PATCH 64/82] gis: fix user warning when testing geo schelling example [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci update --- gis/geo_schelling/model.py | 21 ++++++++++++++++++++- gis/geo_schelling/server.py | 4 +--- 2 files changed, 21 insertions(+), 4 deletions(-) diff --git a/gis/geo_schelling/model.py b/gis/geo_schelling/model.py index 7436af92..613a7e59 100644 --- a/gis/geo_schelling/model.py +++ b/gis/geo_schelling/model.py @@ -1,12 +1,29 @@ import random from pathlib import Path +import geopandas as gpd +import libpysal import mesa import mesa_geo as mg script_directory = Path(__file__).resolve().parent +def get_largest_connected_components(gdf): + """Get the largest connected component of a GeoDataFrame.""" + # create spatial weights matrix + W = libpysal.weights.Queen.from_dataframe( + gdf, use_index=True, silence_warnings=True + ) + # get component labels + gdf["component"] = W.component_labels + # get the largest component + largest_component = gdf["component"].value_counts().idxmax() + # subset the GeoDataFrame + gdf = gdf[gdf["component"] == largest_component] + return gdf + + class SchellingAgent(mg.GeoAgent): """Schelling segregation agent.""" @@ -71,7 +88,9 @@ def __init__(self, density=0.6, minority_pc=0.2, export_data=False): # Set up the grid with patches for every NUTS region ac = mg.AgentCreator(SchellingAgent, model=self) data_path = script_directory / "data/nuts_rg_60M_2013_lvl_2.geojson" - agents = ac.from_file(filename=data_path) + agents_gdf = gpd.read_file(data_path) + agents_gdf = get_largest_connected_components(agents_gdf) + agents = ac.from_GeoDataFrame(agents_gdf, unique_id="index") self.space.add_agents(agents) # Set up agents diff --git a/gis/geo_schelling/server.py b/gis/geo_schelling/server.py index 0871e219..c8e85d09 100644 --- a/gis/geo_schelling/server.py +++ b/gis/geo_schelling/server.py @@ -38,9 +38,7 @@ def schelling_draw(agent): happy_element = HappyElement() -map_element = mg.visualization.MapModule( - schelling_draw, [52, 12], 4, tiles=xyz.CartoDB.Positron -) +map_element = mg.visualization.MapModule(schelling_draw, tiles=xyz.CartoDB.Positron) happy_chart = mesa.visualization.ChartModule([{"Label": "happy", "Color": "Black"}]) server = mesa.visualization.ModularServer( GeoSchelling, [map_element, happy_element, happy_chart], "Schelling", model_params From e7345def44fb06fd00300cb34517d937087963b9 Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Tue, 3 Sep 2024 18:49:47 +0200 Subject: [PATCH 65/82] Replace `get_agents_of_type` method with `agents_by_type` property (#190) The Model method `get_agents_of_type()` is replaced by the `agents_by_type` property, which directly returns the dict. Instead of using: ```Python model.get_agents_of_type(Wolf) ``` You should now use: ```Python model.agents_by_type[Wolf] ``` --- examples/sugarscape_g1mt/sugarscape_g1mt/model.py | 12 ++++++------ examples/wolf_sheep/wolf_sheep/model.py | 8 ++++---- 2 files changed, 10 insertions(+), 10 deletions(-) diff --git a/examples/sugarscape_g1mt/sugarscape_g1mt/model.py b/examples/sugarscape_g1mt/sugarscape_g1mt/model.py index 6d82c07c..06a5032b 100644 --- a/examples/sugarscape_g1mt/sugarscape_g1mt/model.py +++ b/examples/sugarscape_g1mt/sugarscape_g1mt/model.py @@ -73,12 +73,12 @@ def __init__( # initiate datacollector self.datacollector = mesa.DataCollector( model_reporters={ - "Trader": lambda m: len(m.get_agents_of_type(Trader)), + "Trader": lambda m: len(m.agents_by_type[Trader]), "Trade Volume": lambda m: sum( - len(a.trade_partners) for a in m.get_agents_of_type(Trader) + len(a.trade_partners) for a in m.agents_by_type[Trader] ), "Price": lambda m: geometric_mean( - flatten([a.prices for a in m.get_agents_of_type(Trader)]) + flatten([a.prices for a in m.agents_by_type[Trader]]) ), }, agent_reporters={"Trade Network": lambda a: get_trade(a)}, @@ -134,12 +134,12 @@ def step(self): and then randomly activates traders """ # step Resource agents - self.get_agents_of_type(Resource).do("step") + self.agents_by_type[Resource].do("step") # step trader agents # to account for agent death and removal we need a seperate data strcuture to # iterate - trader_shuffle = self.get_agents_of_type(Trader).shuffle() + trader_shuffle = self.agents_by_type[Trader].shuffle() for agent in trader_shuffle: agent.prices = [] @@ -153,7 +153,7 @@ def step(self): self.datacollector.collect(self) return - trader_shuffle = self.get_agents_of_type(Trader).shuffle() + trader_shuffle = self.agents_by_type[Trader].shuffle() for agent in trader_shuffle: agent.trade_with_neighbors() diff --git a/examples/wolf_sheep/wolf_sheep/model.py b/examples/wolf_sheep/wolf_sheep/model.py index 12db261a..1dc1e1a5 100644 --- a/examples/wolf_sheep/wolf_sheep/model.py +++ b/examples/wolf_sheep/wolf_sheep/model.py @@ -81,12 +81,12 @@ def __init__( self.grid = mesa.space.MultiGrid(self.width, self.height, torus=True) collectors = { - "Wolves": lambda m: len(m.get_agents_of_type(Wolf)), - "Sheep": lambda m: len(m.get_agents_of_type(Sheep)), + "Wolves": lambda m: len(m.agents_by_type[Wolf]), + "Sheep": lambda m: len(m.agents_by_type[Sheep]), } if grass: - collectors["Grass"] = lambda m: len(m.get_agents_of_type(GrassPatch)) + collectors["Grass"] = lambda m: len(m.agents_by_type[GrassPatch]) self.datacollector = mesa.DataCollector(collectors) @@ -128,7 +128,7 @@ def step(self): # Conceptually, it can be argued that this should be modelled differently. self.random.shuffle(self.agent_types) for agent_type in self.agent_types: - self.get_agents_of_type(agent_type).do("step") + self.agents_by_type[agent_type].do("step") # collect data self.datacollector.collect(self) From 831be8203634cbbee6a7bc6785ea43fc62f39449 Mon Sep 17 00:00:00 2001 From: Ewout ter Hoeven Date: Tue, 3 Sep 2024 20:59:19 +0200 Subject: [PATCH 66/82] Readme: Add note about Mesa-Geo version compatiblity Note that examples on the main branch work on the latest Mesa-Geo development branch, and examples Mesa-Geo 0.8.x are available on the mesa-2.x branch. --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 034938e4..1191d0ea 100644 --- a/README.md +++ b/README.md @@ -2,8 +2,8 @@ This repository contains examples that work with Mesa and illustrate different features of Mesa. For more information on each model, see its own Readme and documentation. -- Mesa examples that work on the Mesa main development branch are available here on the [`main`](https://github.com/projectmesa/mesa-examples) branch. -- Mesa examples that work for Mesa 2.x releases are available here on the [`mesa-2.x`](https://github.com/projectmesa/mesa-examples/tree/mesa-2.x) branch. +- Mesa examples that work on the Mesa and Mesa-Geo main development branches are available here on the [`main`](https://github.com/projectmesa/mesa-examples) branch. +- Mesa examples that work with Mesa 2.x releases and Mesa-Geo 0.8.x releases are available here on the [`mesa-2.x`](https://github.com/projectmesa/mesa-examples/tree/mesa-2.x) branch. To contribute to this repository, see [CONTRIBUTING.rst](https://github.com/projectmesa/mesa-examples/blob/main/CONTRIBUTING.rst). From c4b4c75c67b0f6f7752a78317782030c2e766901 Mon Sep 17 00:00:00 2001 From: Harsh Mahesheka Date: Wed, 4 Sep 2024 08:25:14 +0530 Subject: [PATCH 67/82] Add seeding RL examples folder (#178) Add seeding RL examples folder (#178) --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> --- README.md | 1 + pyproject.toml | 6 + rl/.gitignore | 1 + rl/README.md | 66 +++++++ rl/Tutorials.ipynb | 174 ++++++++++++++++++ rl/epstein_civil_violence/README.md | 30 +++ rl/epstein_civil_violence/agent.py | 55 ++++++ rl/epstein_civil_violence/model.py | 169 +++++++++++++++++ .../resources/epstein.gif | Bin 0 -> 1669858 bytes rl/epstein_civil_violence/server.py | 133 +++++++++++++ rl/epstein_civil_violence/train_config.py | 43 +++++ rl/epstein_civil_violence/utility.py | 78 ++++++++ rl/example.py | 29 +++ rl/requirements.txt | 4 + rl/rl_models | 1 + rl/train.py | 47 +++++ 16 files changed, 837 insertions(+) create mode 100644 rl/.gitignore create mode 100644 rl/README.md create mode 100644 rl/Tutorials.ipynb create mode 100644 rl/epstein_civil_violence/README.md create mode 100644 rl/epstein_civil_violence/agent.py create mode 100644 rl/epstein_civil_violence/model.py create mode 100644 rl/epstein_civil_violence/resources/epstein.gif create mode 100644 rl/epstein_civil_violence/server.py create mode 100644 rl/epstein_civil_violence/train_config.py create mode 100644 rl/epstein_civil_violence/utility.py create mode 100644 rl/example.py create mode 100644 rl/requirements.txt create mode 160000 rl/rl_models create mode 100644 rl/train.py diff --git a/README.md b/README.md index 1191d0ea..34f2647c 100644 --- a/README.md +++ b/README.md @@ -19,6 +19,7 @@ $ pip install -U -e git+https://github.com/projectmesa/mesa-examples@mesa-2.x#eg ``` ```python from mesa_models.boltzmann_wealth_model.model import BoltzmannWealthModel + ``` You can see the available models at [setup.cfg](https://github.com/projectmesa/mesa-examples/blob/main/setup.cfg). diff --git a/pyproject.toml b/pyproject.toml index b4488eeb..574f2f5b 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -18,6 +18,12 @@ test_gis = [ "pytest", "momepy", ] +rl_example = [ + "stable-baselines3", + "seaborn", + "mesa", + "tensorboard" +] [build-system] requires = [ diff --git a/rl/.gitignore b/rl/.gitignore new file mode 100644 index 00000000..ba0430d2 --- /dev/null +++ b/rl/.gitignore @@ -0,0 +1 @@ +__pycache__/ \ No newline at end of file diff --git a/rl/README.md b/rl/README.md new file mode 100644 index 00000000..edb45617 --- /dev/null +++ b/rl/README.md @@ -0,0 +1,66 @@ +# Reinforcement Learning Implementations with Mesa + +This repository demonstrates various applications of reinforcement learning (RL) using the Mesa agent-based modeling framework. + +

+ +

+ +## Getting Started + +### Installation + +*Given the number of dependencies required, we recommend starting by creating a Conda environment or a Python virtual environment.* +1. **Install Mesa Models** + Begin by installing the Mesa models: + + ```bash + pip install -U -e git+https://github.com/projectmesa/mesa-examples@mesa-2.x#egg=mesa-models + ``` + +2. **Install RLlib for Multi-Agent Training** + Next, install RLlib along with TensorFlow and PyTorch to support multi-agent training algorithms: + + ```bash + pip install "ray[rllib]" tensorflow torch + ``` + +3. **Install Additional Dependencies** + Finally, install any remaining dependencies: + + ```bash + pip install -r requirements.txt + ``` + +4. **Download Pre-Trained Weights** + Download pre-trained weights from hugging face: + + ```bash + git clone https://huggingface.co/projectmesa/rl_models/ + ``` + +### Running the Examples + +To test the code, simply execute `example.py`: + +```bash +python example.py +``` + +*Note: Pre-trained models might not work in some cases because of differnce in versions of libraries used to train and test.* + +To learn about individual implementations, please refer to the README files of specific environments. + + +## Tutorials + +For detailed tutorials on how to use these implementations and guidance on starting your own projects, please refer to [Tutorials.md](./Tutorials.md). + +Here's a refined version of your contribution guide: + + +## Contribution Guide + +We welcome contributions to our project! A great way to get started is by implementing the remaining examples listed in the [Mesa-Examples](https://github.com/projectmesa/mesa-examples) repository with reinforcement learning (RL). + +Additionally, if you have your own Mesa environments that you think would benefit from RL integration, we encourage you to share them with us. Simply start an issue on our GitHub repository with your suggestion, and we can collaborate on bringing it to life! \ No newline at end of file diff --git a/rl/Tutorials.ipynb b/rl/Tutorials.ipynb new file mode 100644 index 00000000..e768fc3b --- /dev/null +++ b/rl/Tutorials.ipynb @@ -0,0 +1,174 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Tutorial: Reinforcement Learning with Mesa Environments\n", + "\n", + "# Welcome to this comprehensive guide on integrating reinforcement learning (RL) with Mesa environments. \n", + "# Mesa, an agent-based modeling framework, offers an excellent platform to experiment with RL algorithms. \n", + "# In this tutorial, we'll explore several examples of how RL can be applied to various Mesa environments, \n", + "# starting with the **Epstein Civil Violence model**.\n", + "\n", + "# ## Getting Started\n", + "\n", + "# Before diving into the implementation, take a moment to familiarize yourself with the Epstein Civil Violence model.\n", + "# This will give you a solid understanding of the environment we’ll be working with.\n", + "\n", + "# Next, ensure all dependencies are installed by following the instructions in the `README.md`.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# ### Step 1: Importing the Necessary Modules\n", + "# To begin, let’s import the required modules for the Epstein Civil Violence model:\n", + "\n", + "from epstein_civil_violence.model import EpsteinCivilViolenceRL\n", + "from epstein_civil_violence.server import run_model\n", + "from epstein_civil_violence.train_config import config\n", + "from train import train_model\n", + "\n", + "# Here’s a breakdown of the modules:\n", + "# - `EpsteinCivilViolenceRL`: Contains the core model and environment.\n", + "# - `run_model`: Configures and runs the model for inference.\n", + "# - `config`: Defines the parameters for training the model.\n", + "# - `train_model`: Includes functions for training the RL agent using RLlib." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# ### Step 2: Initializing the Environment\n", + "\n", + "# Let's load and reset the environment. This also allows us to inspect the observation space:\n", + "\n", + "env = EpsteinCivilViolenceRL()\n", + "observation, info = env.reset(seed=42)\n", + "\n", + "# Display initial observation and info\n", + "print(\"Initial Observation:\", observation)\n", + "print(\"Info:\", info)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# ### Step 3: Running the Environment with Random Actions\n", + "\n", + "# To get a feel for how the environment operates, let's run it for a few steps using random actions.\n", + "# We’ll sample the action space for these actions:\n", + "\n", + "for _ in range(10):\n", + " action_dict = {}\n", + " for agent in env.schedule.agents:\n", + " action_dict[agent.unique_id] = env.action_space.sample()\n", + " observation, reward, terminated, truncated, info = env.step(action_dict)\n", + "\n", + " print(\n", + " f\"Observation: {observation}, Reward: {reward}, Terminated: {terminated}, Truncated: {truncated}, Info: {info}\"\n", + " )\n", + "\n", + " if terminated or truncated:\n", + " observation, info = env.reset()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# ### Step 4: Training the Model\n", + "\n", + "# Now that you're familiar with the environment, let's train the RL model using the preset configuration:\n", + "\n", + "train_model(\n", + " config, num_iterations=1, result_path=\"results.txt\", checkpoint_dir=\"checkpoints\"\n", + ")\n", + "\n", + "# You can modify the training parameters in the `train_config.py` file to experiment with different outcomes." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# ### Step 5: Visualizing the Results\n", + "\n", + "# After training, you can visualize the results by running inference on the model.\n", + "# Mesa's built-in visualization tools will help you launch a webpage to view the model's performance:\n", + "\n", + "# server = run_model(path=\"checkpoints\")\n", + "# You can also try running pre-trained checkpoints present in model folder\n", + "server = run_model(model_path=\"rl_models/epstein_civil_violence\")\n", + "server.port = 6005\n", + "server.launch(open_browser=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# ### Alternative Approach: Using Stable-Baselines with Mesa\n", + "\n", + "# In the example above, we utilized RLlib to integrate reinforcement learning algorithms with the Mesa environment, \n", + "# which is particularly useful when you want different policies for different agents. \n", + "# However, if your use case requires a simpler setup where all agents follow the same policy, \n", + "# you can opt for Stable-Baselines. An example of integrating Stable-Baselines with Mesa can be found in the Boltzmann Money model.\n", + "\n", + "# You can explore more on how to use Stable-Baselines with Mesa by following the respective documentation.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# ### Implementing Your Own Cases\n", + "\n", + "# If you're ready to explore RL in different agent-based scenarios, you can start by experimenting with various examples we provide at Mesa-Examples:\n", + "# Link: https://github.com/projectmesa/mesa-examples\n", + "\n", + "# These examples cover a range of scenarios and offer a great starting point for understanding how to apply RL within Mesa environments.\n", + "\n", + "# If you have your own scenario in mind, you can create it as a Mesa model by following this series of Tutorials:\n", + "# Link: https://mesa.readthedocs.io/en/stable/tutorials/intro_tutorial.html\n", + "\n", + "# Once your scenario is set up as a Mesa model, you can refer to the code in the provided implementations to see how the RL components are built on top of the respective Mesa models.\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "test", + "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": "3.10.0" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/rl/epstein_civil_violence/README.md b/rl/epstein_civil_violence/README.md new file mode 100644 index 00000000..a903ee92 --- /dev/null +++ b/rl/epstein_civil_violence/README.md @@ -0,0 +1,30 @@ +# Modelling Violence: Epstein Civil Violence Model + +This project demonstrates the use of the RLlib library to implement Multi-Agent Reinforcement Learning (MARL) in the classic Epstein-Civil Violence problem. The environment details can be found on the Mesa project's GitHub repository [here](https://github.com/projectmesa/mesa-examples/tree/main/examples/epstein_civil_violence). + +## Key Features + +**RLlib and Multi-Agent Learning**: +- **Library Utilized**: The project leverages the RLlib library to concurrently train two independent PPO (Proximal Policy Optimization) agents. +- **Agents**: + - **Police**: Aims to control violence (Reduce active agent) + - **Citizen**: Aims to show resistence (be active) without getting arrested + +**Input and Observation Space**: +- **Observation Grid**: Each agent's policy receives a 4 radius grid centered on itself as input. + +**Action Space**: +- **Action Space**: For citizen the action space is the ID of the neighboring tile to which the agent wants to move along with choice to be active. For cop the action space is ID of neighbourng tile it wants to move along with ID of active citizen in it's neigbhood that it wants to arrest. +**Behavior and Training Outcomes**: + +**Optimal Behavior**: + - **Cops**: Learns to move towards active agents and arrest them. + - **Citizens**: Learns to run away from cops and be active only if a cop isn't around. +- **Density Variations**: You can vary the densities of sheep and wolves to observe different results. + +By leveraging RLlib and Multi-Agent Learning, this project provides insights into the dynamics of violence in a society and various strategies in a simulated environment. + + +

+ +

diff --git a/rl/epstein_civil_violence/agent.py b/rl/epstein_civil_violence/agent.py new file mode 100644 index 00000000..fb8e2d0d --- /dev/null +++ b/rl/epstein_civil_violence/agent.py @@ -0,0 +1,55 @@ +from mesa_models.epstein_civil_violence.agent import Citizen, Cop + +from .utility import move + + +class CitizenRL(Citizen): + def step(self): + # Get action from action_dict + action_tuple = self.model.action_dict[self.unique_id] + # If in jail decrease sentence, else update condition + if self.jail_sentence > 0: + self.jail_sentence -= 1 + else: + # RL Logic + # Update condition and postion based on action + self.condition = "Active" if action_tuple[0] == 1 else "Quiescent" + # Update neighbors for updated empty neighbors + self.update_neighbors() + if self.model.movement: + move( + self, + action_tuple[1], + self.empty_neighbors, + ) + + # Update the neighbors for observation space + self.update_neighbors() + + +class CopRL(Cop): + def step(self): + # RL Logics + # Arrest if active citizen is indicated in action + action_tuple = self.model.action_dict[self.unique_id] + arrest_pos = self.neighborhood[action_tuple[0]] + for agent in self.model.grid.get_cell_list_contents(self.neighborhood): + if ( + isinstance(agent, CitizenRL) + and agent.condition == "Active" + and agent.jail_sentence == 0 + and agent.pos == arrest_pos + ): + agent.jail_sentence = self.random.randint(1, self.model.max_jail_term) + agent.condition = "Quiescent" + self.arrest_made = True + break + else: + self.arrest_made = False + # Update neighbors for updated empty neighbors + self.update_neighbors() + # Move based on action + if self.model.movement: + move(self, action_tuple[1], self.empty_neighbors) + # Update the neighbors for observation space + self.update_neighbors() diff --git a/rl/epstein_civil_violence/model.py b/rl/epstein_civil_violence/model.py new file mode 100644 index 00000000..c061e9c9 --- /dev/null +++ b/rl/epstein_civil_violence/model.py @@ -0,0 +1,169 @@ +import gymnasium as gym +import mesa +import numpy as np +from mesa_models.epstein_civil_violence.model import EpsteinCivilViolence +from ray.rllib.env import MultiAgentEnv + +from .agent import CitizenRL, CopRL +from .utility import create_intial_agents, grid_to_observation + + +class EpsteinCivilViolenceRL(EpsteinCivilViolence, MultiAgentEnv): + """ + Custom environment class for the Epstein Civil Violence model with reinforcement learning. + Inherits from EpsteinCivilViolence and MultiAgentEnv. + """ + + def __init__( + self, + width=20, + height=20, + citizen_density=0.5, + cop_density=0.05, + citizen_vision=4, + cop_vision=4, + legitimacy=0.8, + max_jail_term=30, + arrest_prob_constant=2.3, + movement=True, + max_iters=200, + ): + """ + Initialize the EpsteinCivilViolenceRL environment. + + Parameters: + - width: Width of the grid. + - height: Height of the grid. + - citizen_density: Density of citizens in the grid. + - cop_density: Density of cops in the grid. + - citizen_vision: Vision range of citizens. + - cop_vision: Vision range of cops. + - legitimacy: Legitimacy parameter of the model. + - max_jail_term: Maximum jail term for arrested citizens. + - arrest_prob_constant: Constant used in arrest probability calculation. + - movement: Flag indicating whether agents can move or not. + - max_iters: Maximum number of iterations for the model. + """ + + super().__init__( + width, + height, + citizen_density, + cop_density, + citizen_vision, + cop_vision, + legitimacy, + max_jail_term, + 0, + arrest_prob_constant, + movement, + max_iters, + ) + + # Defining RL specific attributes + # Observation space is a grid with agent information centered around each agent + self.observation_space = gym.spaces.Box( + low=0, high=4, shape=(((cop_vision * 2 + 1) ** 2 - 1),), dtype=np.float32 + ) + # Action space is a tuple of two discrete actions, one for movement and one for arrest/protest + self.action_space = gym.spaces.Tuple( + (gym.spaces.Discrete(8), gym.spaces.Discrete(5)) + ) + + def step(self, action_dict): + """ + Perform a step in the environment. + + Parameters: + - action_dict: Dictionary containing actions for each agent. + + Returns: + - observation: Current observation of the environment. + - rewards: Dictionary containing rewards for each agent. + - done: Dictionary indicating if each agent is done. + - truncated: Dictionary indicating if each agent is truncated. + - info: Additional information about the step. + """ + # Update the action dictionary for step + self.action_dict = action_dict + + # Step the model + self.schedule.step() + self.datacollector.collect(self) + + # Calculate rewards + rewards = self.cal_reward() + + # Update matrix for observation space + grid_to_observation(self, CitizenRL) + observation = {} + for agent in self.schedule.agents: + observation[agent.unique_id] = [ + self.obs_grid[neighbor[0]][neighbor[1]] + for neighbor in agent.neighborhood + ] # Get the values from the observation grid for the neighborhood cells + + # RL specific outputs for the environment + done = {a.unique_id: False for a in self.schedule.agents} + truncated = {a.unique_id: False for a in self.schedule.agents} + truncated["__all__"] = np.all(list(truncated.values())) + if self.schedule.time > self.max_iters: + done["__all__"] = True + else: + done["__all__"] = False + + return observation, rewards, done, truncated, {} + + def cal_reward(self): + rewards = {} + for agent in self.schedule.agents: + if isinstance(agent, CopRL): + if agent.arrest_made: + # Cop is rewarded for making an arrest + rewards[agent.unique_id] = 1 + else: + rewards[agent.unique_id] = 0 + else: + # An active agent is rewarded for its grievance + # A jailed agent is penalized for its risk aversion + if agent.jail_sentence > 0: + rewards[agent.unique_id] = -agent.risk_aversion + else: + rewards[agent.unique_id] = ( + 0 if agent.condition == "Quiescent" else agent.grievance * 3 + ) + + return rewards + + def reset(self, *, seed=None, options=None): + """ + Reset the environment after each episode. + + Parameters: + - seed: Seed for random number generation. + - options: Additional options for resetting the environment. + + Returns: + - observation: Initial observation of the environment. + - info: Additional information about the reset. + """ + + super().reset() + # Using base scheduler to maintain the order of agents + self.schedule = mesa.time.BaseScheduler(self) + self.grid = mesa.space.SingleGrid(self.width, self.height, torus=True) + create_intial_agents(self, CitizenRL, CopRL) + grid_to_observation(self, CitizenRL) + # Intialize action dictionary with no action + self.action_dict = {a.unique_id: (0, 0) for a in self.schedule.agents} + # Update neighbors for observation space + for agent in self.schedule.agents: + agent.update_neighbors() + self.schedule.step() + observation = {} + for agent in self.schedule.agents: + observation[agent.unique_id] = [ + self.obs_grid[neighbor[0]][neighbor[1]] + for neighbor in agent.neighborhood + ] # Get 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