Currently, 'agents' is a list that contains lists of two items; an x-coordinate, and a y-coordinate. More items could be added to the lists to representing additional agent characteristics. However, the longer the lists become, the harder it is to remember what is stored in each index and the more confusing code gets.
Defining an Agent class provides a way to name agent characteristics and refer to them by name rather than by a list index. The Agent class will be defined in a different file from 'model.py' so the program code going forwards will be in multiple files.
In your local code repository src directory create a new directory called "abm4". Open Spyder and use 'save as' to save your 'model.py' file from abm3 into the abm4 directory.
Create a new file in the abm4 directory named 'agentframework.py', and add a class definition for an Agent class in it as follows:
class Agent():
passThe keyword 'pass' ensures the code is syntactically correct and will run.
In 'model.py' reduce 'n_iterations' to 10, and add the following import statement:
import agentframework as afNote that this imports the agentframework module as loaded from 'agentframework.py' which is to be referred to by 'af'.
At the start of the '# Initialise agents' code block, add the following:
a = af.Agent()
print("type(a)", type(a))Run 'model.py' and examine the output. It should contain the following line:
type(a)
This indicates that an instance of the class Agent as defined in the agentframework module was successfully created.
Add a constructor method to the Agent class that initialises 'x' and 'y' variable attributes to be random integers in the range [0, 99]. The code in 'agentframework.py' should be:
import random
class Agent:
def __init__(self):
self.x = random.randint(0, 99)
self.y = random.randint(0, 99)Note that the random moduleis imported as this is used in the Agent constructor '__init__' method.
In 'model.py', add a statement to print the agent that was instantiated, and run the program again. Text along the lines of the following should be in the output:
<agentframework.Agent object at 0x00000249AEA21D88>
The last part of this will almost certainly be different to '0x00000249AEA21D88' and if you run your program again, it will likely be different again. Recall that this string is a memory address identifying where the object is stored in the memory of the computer.
When printing an Agent instance, it would be better if something more informative was output. The best way to do this is to override the '__str__' method which comes from the 'type' metaclass that all classes inherit from by default. Define the method in the Agent class as follows:
def __str__(self):
return self.__class__.__name__ + "(x=" + str(self.x) \
+ ", y=" + str(self.y) + ")"Note that this returns a string which includes the name of the class and details of the 'x' and 'y' variable attributes which are transformed by the builtins module str function to be strings.
Run 'model.py' again and the print statement should result in the following:
Agent(x=49, y=97)
Change the '# Initialise agents' code block in 'model.py' to:
# Initialise agents
agents = []
for i in range(n_agents):
# Create an agent
agents.append(af.Agent())
print(agents[i])
print(agents)Run 'model.py' and you should get similar output to the following (in the error report, the file paths will probably be different, and the line numbers might be different):
Check this is equal to 5: 5.0
Agent(x=49, y=97)
Agent(x=53, y=5)
Agent(x=33, y=65)
Agent(x=62, y=51)
Agent(x=38, y=61)
Agent(x=45, y=74)
Agent(x=27, y=64)
Agent(x=17, y=36)
Agent(x=17, y=96)
Agent(x=12, y=79)
[<agentframework.Agent object at 0x00000249B140C6C8>, <agentframework.Agent object at 0x00000249B14194C8>, <agentframework.Agent object at 0x00000249B1419148>, <agentframework.Agent object at 0x00000249B1419388>, <agentframework.Agent object at 0x00000249B14193C8>, <agentframework.Agent object at 0x00000249B1419448>, <agentframework.Agent object at 0x00000249B14191C8>, <agentframework.Agent object at 0x00000249B1419048>, <agentframework.Agent object at 0x00000249B1419488>, <agentframework.Agent object at 0x00000249B1419208>]
Traceback (most recent call last):
File "\abm4\model.py", line 95, in <module>
print("Maximum distance between all the agents", get_max_distance())
File "\abm4\model.py", line 81, in get_max_distance
distance = get_distance(a[0], a[1], b[0], b[1])
TypeError: 'Agent' object is not subscriptable
The list 'agents' is initialised, but the print function does not use the '__str__' method to get string representations when printing the list.
The TypeError is a consequence of the 'agents' list no longer containing lists, but instantiated Agent objects, and some parts of the code are still written as though each agent is a list and not an instance of the Agent class.
Add the following method to the Agent class to get the print function to print string representations when printing the agents list:
def __repr__(self):
return str(self)Like the '__str__' method, the '__repr__' method overrides from the 'type' metaclass, (for details see: repr.
To avoid raising the TypeError exception, it is necessary to refer to the class attributes and not list items (as agents are no longer lists, but are instances of the class Agent). So, change the following line of code in the 'get_max_distance()' function:
distance = get_distance(a[0], a[1], b[0], b[1])To be:
distance = get_distance(a.x, a.y, b.x, by)Appreciate that this is easier to read and understand.
Everywhere else in the 'model.py' that was referring to a coordinate from the agents list is to be changed similarly. Run 'model.py' to see where the next TypeError is raised.
In the code change:
agents[i][0]To:
agents[i].xAnd change:
agents[i][1]"To:
agents[i].yMake a further change in the code block that plots agents, changing:
# Plot the coordinate with the largest x red
lx = max(agents, key=operator.itemgetter(0))
plt.scatter(lx[0], lx[1], color='red')
# Plot the coordinate with the smallest x blue
sx = min(agents, key=operator.itemgetter(0))
plt.scatter(sx[0], sx[1], color='blue')
# Plot the coordinate with the largest y yellow
ly = max(agents, key=operator.itemgetter(1))
plt.scatter(ly[0], ly[1], color='yellow')
# Plot the coordinate with the smallest y green
sy = min(agents, key=operator.itemgetter(1))
plt.scatter(sy[0], sy[1], color='green')To:
# Plot the coordinate with the largest x red
lx = max(agents, key=operator.attrgetter('x'))
plt.scatter(lx.x, lx.y, color='red')
# Plot the coordinate with the smallest x blue
sx = min(agents, key=operator.attrgetter('x'))
plt.scatter(sx.x, sx.y, color='blue')
# Plot the coordinate with the largest y yellow
ly = max(agents, key=operator.attrgetter('y'))
plt.scatter(ly.x, ly.y, color='yellow')
# Plot the coordinate with the smallest y green
sy = min(agents, key=operator.attrgetter('y'))
plt.scatter(sy.x, sy.y, color='green')Hopefully, you understand these changes and your program runs without raising exceptions and produces the same output as previously.
Commit your code to your local repository and assuming you are using GitHub - push your changes to GitHub.
Define a method called 'move' in the Agent class as follows:
def move(self, x_min, y_min, x_max, y_max):Cut the code that moves an individual agent from 'model.py' and paste it into the body of the new 'move' method. Replace: "agents[i]" with "self" in the method. Where the code was cut from, add the following to call the move method:
agents[i].move(x_min, y_min, x_max, y_max)Note that in the Agent class, the 'move' method has a parameter called 'self', but this is not a parameter that is passed in. Normally when calling a function the number of parameters matches, but for methods (functions in a class) there is this additional parameter that is not passed in and that is the first parameter.
Run the program and it should produce the same results as previously. The Agent class code now deals with the details of how an agent moves, and 'model.py' actions when they do. This is a reasonable separation of concerns.
It is possible that two agents will be located at the same coordinates, and it would be helpful to distinguish them.
Add a docstring and a parameter to the '__init__' constructor method of Agent so that the method is as follows:
def __init__(self, i):
"""
The constructor method.
Parameters
----------
i : Integer
To be unique to each instance.
Returns
-------
None.
"""
self.i = i
self.x = random.randint(0, 99)
self.y = random.randint(0, 99)
passRun 'model.py' and you should get the following error:
Traceback (most recent call last):
File "\abm4\model.py", line 91, in &module>
agents.append(agentframework.Agent())
TypeError: __init__() missing 1 required positional argument: 'i'
The TypeError is indicating that an expected argument is missing in the call that creates the Agent instance. Change 'model.py' to pass in the missing argument 'i'. Make sure the positional arguments are in a correspodiong order in the method call and in the method definition. Run the program again and the TypeError should not be raised.
Modify the Agent class '__str__' method so it additionally returns the unique characteristic of each Agent 'i'.
Commit your code to your local repository and assuming you are using GitHub - push your changes to GitHub.