Project 2: Ants Vs. SomeBees

Phase 1: Basic gameplay

Important submission note: For full credit, submit with Phase 1 and 2 complete by Friday, November 26 (worth 4 pts).

In the first phase you will complete the implementation that will allow for basic gameplay with the two basic Ants: the HarvesterAnt and the ThrowerAnt.

Problem 0 (0 pt)

Answer the following questions with your partner after you have read the entire ants.py file.

To submit your answers, run:

python3 ok -q 00 -u

If you get stuck while answering these questions, you can try reading through ants.py again, consult the core concepts/classes sections above, or ask a question in the Question 0 thread on Piazza.

1. What is the significance of an Insect's health attribute? Does this value change? If so, how?
2. Which of the following is a class attribute of the Insect class?
3. Is the health attribute of the Ant class an instance attribute or a class attribute? Why?
4. Is the damage attribute of an Ant subclass (such as ThrowerAnt) an instance attribute or class attribute? Why?
5. Which class do both Ant and Bee inherit from?
6. What do instances of Ant and instances of Bee have in common?
7. How many insects can be in a single Place at any given time (before Problem 8)?
8. What does a Bee do during one of its turns?
9. When is the game lost?

Remember to run:

python3 ok -q 00 -u

Problem 1 (3 pt)

Before writing any code, read the instructions and test your understanding of the problem:

python3 ok -q 01 -u

Part A: Currently, there is no cost for placing any type of Ant, and so there is no challenge to the game. The base class Ant has a food_cost of zero. Override this class attribute for HarvesterAnt and ThrowerAnt according to the "Food Cost" column in the table below.

Class	Food Cost	Initial Health
HarvesterAnt	2	1
ThrowerAnt	3	1

Part B: Now that placing an Ant costs food, we need to be able to gather more food! To fix this issue, implement the HarvesterAnt class. A HarvesterAnt is a type of Ant that adds one food to the gamestate.food total as its action.

After writing code, test your implementation:

python3 ok -q 01

Try playing the game by running python3 gui.py. Once you have placed a HarvesterAnt, you should accumulate food each turn. You can also place ThrowerAnts, but you'll see that they can only attack bees that are in their Place, making it a little difficult to win.

Problem 2 (3 pt)

Before writing any code, read the instructions and test your understanding of the problem:

python3 ok -q 02 -u

In this problem, you'll complete Place.__init__ by adding code that tracks entrances. Right now, a Place keeps track only of its exit. We would like a Place to keep track of its entrance as well. A Place needs to track only one entrance. Tracking entrances will be useful when an Ant needs to see what Bees are in front of it in the tunnel.

However, simply passing an entrance to a Place constructor will be problematic; we would need to have both the exit and the entrance before creating a Place! (It's a chicken or the egg problem.) To get around this problem, we will keep track of entrances in the following way instead. Place.__init__ should use this logic:

• A newly created Place always starts with its entrance as None.
• If the Place has an exit, then the exit's entrance is set to that Place.

Hint: Remember that when the __init__ method is called, the first parameter, self, is bound to the newly created object

Hint: Try drawing out two Places next to each other if things get confusing. In the GUI, a place's entrance is to its right while the exit is to its left.

Hint: Remember that Places are not stored in a list, so you can't index into anything to access them. This means that you can't do something like colony[index + 1] to access an adjacent Place. How can you move from one place to another?

After writing code, test your implementation:

python3 ok -q 02

Problem 3 (3 pt)

Before writing any code, read the instructions and test your understanding of the problem:

python3 ok -q 03 -u

In order for a ThrowerAnt to throw a leaf, it must know which bee to hit. The provided implementation of the nearest_bee method in the ThrowerAnt class only allows them to hit bees in the same Place. Your job is to fix it so that a ThrowerAnt will throw_at the nearest bee in front of it that is not still in the Hive. This includes bees that are in the same Place as a ThrowerAnt

Hint: All Places have an is_hive attribute which is True when that place is the Hive.

Change nearest_bee so that it returns a random Bee from the nearest place that contains bees. Your implementation should follow this logic:

• Start from the current Place of the ThrowerAnt.
• For each place, return a random bee if there is any, and if not, inspect the place in front of it (stored as the current place's entrance).
• If there is no bee to attack, return None.

Hint: The random_bee function provided in ants.py returns a random bee from a list of bees or None if the list is empty.

Hint: As a reminder, if there are no bees present at a Place, then the bees attribute of that Place instance will be an empty list.

Hint: Having trouble visualizing the test cases? Try drawing them out on paper! The sample diagram provided in Game Layout shows the first test case for this problem.

After writing code, test your implementation:

python3 ok -q 03

After implementing nearest_bee, a ThrowerAnt should be able to throw_at a Bee in front of it that is not still in the Hive. Make sure that your ants do the right thing! To start a game with ten food (for easy testing):

python3 gui.py --food 10

Make sure to submit by the checkpoint deadline using the following command:

python3 ok --submit

You can check to ensure that you have completed Phase 1's problems by running:

python3 ok --score

Congratulations! You have finished Phase 1 of this project!

Phase 2: Ants!

Important submission note: For full credit,

• Submit with Phase 1 and 2 complete by Friday, November 26 (worth 4 pts).

Now that you've implemented basic gameplay with two types of Ants, let's add some flavor to the ways ants can attack bees. In this phase, you'll be implementing several different Ants with different attack strategies.

After you implement each Ant subclass in this section, you'll need to set its implemented class attribute to True so that that type of ant will show up in the GUI. Feel free to try out the game with each new ant to test the functionality!

With your Phase 2 ants, try python3 gui.py -d easy to play against a full swarm of bees in a multi-tunnel layout and try -d normal, -d hard, or -d extra-hard if you want a real challenge! If the bees are too numerous to vanquish, you might need to create some new ants.

Problem 4 (5 pt)

Before writing any code, read the instructions and test your understanding of the problem:

python3 ok -q 04 -u

A ThrowerAnt is a powerful threat to the bees, but it has a high food cost. In this problem, you'll implement two subclasses of ThrowerAnt that are less costly but have constraints on the distance they can throw:

• The LongThrower can only throw_at a Bee that is found after following at least 5 entrance transitions. It cannot hit Bees that are in the same Place as it or the first 4 Places in front of it. If there are two Bees, one too close to the LongThrower and the other within its range, the LongThrower should only throw at the farther Bee, which is within its range, instead of trying to hit the closer Bee.
• The ShortThrower can only throw_at a Bee that is found after following at most 3 entrance transitions. It cannot throw at any bees further than 3 Places in front of it.

Neither of these specialized throwers can throw_at a Bee that is exactly 4 Places away.

Class	Food Cost	Initial Health
ShortThrower	2	1
LongThrower	2	1

To implement these new throwing ants, your ShortThrower and LongThrower classes should inherit the nearest_bee method from the base ThrowerAnt class. The logic of choosing which bee a thrower ant will attack is the same, except the ShortThrower and LongThrower ants have a maximum and minimum range, respectively.

To do this, modify the nearest_bee method to reference min_range and max_range attributes, and only return a bee if it is within range.

Make sure to give these min_range and max_range attributes appropriate values in the ThrowerAnt class so that the behavior of ThrowerAnt is unchanged. Then, implement the subclasses LongThrower and ShortThrower with appropriately constrained ranges.

You should not need to repeat any code between ThrowerAnt, ShortThrower, and LongThrower.

Hint: float('inf') returns an infinite positive value represented as a float that can be compared with other numbers.

Hint: You can chain inequalities in Python: e.g. 2 < x < 6 will check if x is between 2 and 6. Also, min_range and max_range should mark an inclusive range.

Important: Make sure your class attributes are called max_range and min_range The tests directly reference these attribute names, and will error if you use another name for these attributes.

Don't forget to set the implemented class attribute of LongThrower and ShortThrower to True.

After writing code, test your implementation (rerun the tests for 03 to make sure they still work):

python3 ok -q 03
python3 ok -q 04

Problem 5 (7 pt)

Before writing any code, read the instructions and test your understanding of the problem:

python3 ok -q 05 -u

Implement the FireAnt, which does damage when it receives damage. Specifically, if it is damaged by amount health units, it does a damage of amount to all bees in its place (this is called reflected damage). If it dies, it does an additional amount of damage, as specified by its damage attribute, which has a default value of 3 as defined in the FireAnt class.

To implement this, override FireAnt's reduce_health method. Your overriden method should call the reduce_health method inherited from the superclass (Ant) to reduce the current FireAnt instance's health. Calling the inherited reduce_health method on a FireAnt instance reduces the insect's health by the given amount and removes the insect from its place if its health reaches zero or lower.

Hint: Do not call self.reduce_health, or you'll end up stuck in a recursive loop. (Can you see why?)

However, your method needs to also include the reflective damage logic:

• Determine the reflective damage amount: start with the amount inflicted on the ant, and then add damage if the ant's health has dropped to 0.
• For each bee in the place, damage them with the total amount by calling the appropriate reduce_health method for each bee.

Important: The FireAnt must do its damage before being removed from its place, so pay careful attention to the order of your logic in reduce_health.

Class	Food Cost	Initial Health
FireAnt	5	3

Hint: Damaging a bee may cause it to be removed from its place. If you iterate over a list, but change the contents of that list at the same time, you may not visit all the elements. This can be prevented by making a > copy of the list. You can either use a list slice, or use the built-in list function.

 >>> lst = [1,2,3,4]
 >>> lst[:]
 [1, 2, 3, 4]
 >>> list(lst)
 [1, 2, 3, 4]
 >>> lst[:] is not lst and list(lst) is not lst
 True

Once you've finished implementing the FireAnt, give it a class attribute implemented with the value True.

Note: Even though you are overriding the superclass's reduce_health function (Ant.reduce_health), you can still use this method in your implementation by calling it. Note this is not recursion. (Why not?)

After writing code, test your implementation:

python3 ok -q 05

You can also test your program by playing a game or two! A FireAnt should destroy all co-located Bees when it is stung. To start a game with ten food (for easy testing):

python3 gui.py --food 10

Phase 3: More Ants!

Important submission note: For full credit,

• Submit with all phases by Friday, December 3.

Problem 6 (3 pt)

Before writing any code, read the instructions and test your understanding of the problem:

python3 ok -q 06 -u

We are going to add some protection to our glorious home base by implementing the WallAnt, an ant that does nothing each turn. A WallAnt is useful because it has a large health value.

Class	Food Cost	Initial Health
WallAnt	4	4

Unlike with previous ants, we have not provided you with a class header. Implement the WallAnt class from scratch. Give it a class attribute name with the value 'Wall' (so that the graphics work) and a class attribute implemented with the value True (so that you can use it in a game).

Hint: To start, take a look at how the previous problems' ants were implemented!

After writing code, test your implementation:

python3 ok -q 06

Problem 7 (7 pt)

Implement the HungryAnt, which will select a random Bee from its place and eat it whole. After eating a Bee, a HungryAnt must spend 3 turns chewing before eating again. If there is no bee available to eat, HungryAnt will do nothing.

Before writing any code, read the instructions and test your understanding of the problem:

python3 ok -q 07 -u

We have not provided you with a class header. Implement the HungryAnt class from scratch. Give it a class attribute name with the value 'Hungry' (so that the graphics work) and a class attribute implemented with the value True (so that you can use it in a game).

Hint: When a Bee is eaten, it should lose all its health. Is there an existing function we can call on a Bee that can reduce its health to 0?

Class	Food Cost	Initial Health
HungryAnt	4	1

Give HungryAnt a chew_duration class attribute that stores the number of turns that it will take a HungryAnt to chew (set to 3). Also, give each HungryAnt an instance attribute chew_countdown that counts the number of turns it has left to chew (initialized to 0, since it hasn't eaten anything at the beginning. You can also think of chew_countdown as the number of turns until a HungryAnt can eat another Bee).

Implement the action method of the HungryAnt: First, check if it is chewing; if so, decrement its chew_countdown. Otherwise, eat a random Bee in its place by reducing the Bee's health to 0. Make sure to set the chew_countdown when a Bee is eaten!

Hint: Other than the action method, make sure you implement the __init__ method too so the HungryAnt starts off with the appropriate amount of health!

After writing code, test your implementation:

python3 ok -q 07

We now have some great offensive troops to help vanquish the bees, but let's make sure we're also keeping our defensive efforts up. In this phase you will implement ants that have special defensive capabilities such as increased health and the ability to protect other ants.

Problem 8 (7 pt)

Before writing any code, read the instructions and test your understanding of the problem:

python3 ok -q 08 -u

Right now, our ants are quite frail. We'd like to provide a way to help them last longer against the onslaught of the bees. Enter the BodyguardAnt.

Class	Food Cost	Initial Health
BodyguardAnt	4	2

A BodyguardAnt differs from a normal ant because it is a ContainerAnt; it can contain another ant and protect it, all in one Place. When a Bee stings the ant in a Place where one ant contains another, only the container is damaged. The ant inside the container can still perform its original action. If the container perishes, the contained ant still remains in the place (and can then be damaged).

Each ContainerAnt has an instance attribute ant_contained that stores the ant it contains. This ant, ant_contained, initially starts off as None to indicate that there is no ant being stored yet. Implement the store_ant method so that it sets the ContainerAnt's ant_contained instance attribute to the passed in ant argument. Also implement the ContainerAnt's action method to perform its ant_contained's action if it is currently containing an ant.

In addition, you will need to make the following modifications throughout your program so that a container and its contained ant can both occupy a place at the same time (a maximum of two ants per place), but only if exactly one is a container:

1. There is an Ant.can_contain method, but it always returns False. Override the method ContainerAnt.can_contain so that it takes an ant other as an argument and returns True if:

   • This ContainerAnt does not already contain another ant.
   • The other ant is not a container.

2. Modify Ant.add_to to allow a container and a non-container ant to occupy the same place according to the following rules:

   • If the ant originally occupying a place can contain the ant being added, then both ants occupy the place and original ant contains the ant being added.
   • If the ant being added can contain the ant originally in the space, then both ants occupy the place and the (container) ant being added contains the original ant.
   • If neither Ant can contain the other, raise the same AssertionError as before (the one already present in the starter code).
   • Important: If there are two ants in a specific Place, the ant attribute of the Place instance should refer to the container ant, and the container ant should contain the non-container ant.
3. Add a BodyguardAnt.__init__ that sets the initial amount of health for the ant.

Hint: You may find the is_container attribute that each Ant has useful for checking if a specific Ant is a container. You should also take advantage of the can_contain method you wrote and avoid repeating code.

The constructor of ContainerAnt.__init__ is implemented as follows:

    def __init__(self, *args, **kwargs):
        super().__init__(*args, **kwargs)
        self.ant_contained = None

args is bound to all positional arguments (which are all arguments passed without keywords), and kwargs is bound to all the keyword arguments. This ensures that both sets of arguments are passed to the Ant constructor.

Effectively, this means the constructor is exactly the same as its parent class's constructor (Ant.__init__) but here we also set self.ant_contained = None.

Note: Here we will expand on the syntax used above if you are interested. We would like to write a function that accepts an arbitrary number of arguments, and then calls another function using exactly those arguments. Here's how it works.

Instead of listing formal parameters for a function, you can write args, which represents all of the arguments that get passed into the function. We can then call another function with these same arguments by passing these args into this other function. For example:

    def printed(f):
    ...     def print_and_return(*args):
    ...         result = f(*args)
    ...         print('Result:', result)
    ...         return result
    ...     return print_and_return
    >>> printed_pow = printed(pow)
    >>> printed_pow(2, 8)
    Result: 256
    256
    >>> printed_abs = printed(abs)
    >>> printed_abs(-10)
    Result: 10
    10

Here, we can pass any number of arguments into printandreturn via the args syntax. We can also use args inside our printandreturn function to make another function call with the same arguments.

Once you've finished implementing the BodyguardAnt, give it a class attribute implemented with the value True.

After writing code, test your implementation:

python3 ok -q 08

Problem 9 (3 pt)

Before writing any code, read the instructions and test your understanding of the problem:

python3 ok -q 09 -u

The BodyguardAnt provides great defense, but they say the best defense is a good offense. The TankAnt is a container that protects an ant in its place and also deals 1 damage to all bees in its place each turn.

Class	Food Cost	Initial Health
TankAnt	6	2

We have not provided you with a class header. Implement the TankAnt class from scratch. Give it a class attribute name with the value 'Tank' (so that the graphics work) and a class attribute implemented with the value True (so that you can use it in a game).

You should not need to modify any code outside of the TankAnt class. If you find yourself needing to make changes elsewhere, look for a way to write your code for the previous question such that it applies not just to BodyguardAnt and TankAnt objects, but to container ants in general.

Hint: The only methods you need to override from TankAnt's parent class are __init__ and action.

Hint: Like with FireAnt, it is possible that damaging a bee will cause it to be removed from its place.

After writing code, test your implementation:

python3 ok -q 09

Phase 4: Water and Might

Important submission note: For full credit,

• Submit with all phases complete by Friday, December 3.

You will get an extra credit point for submitting the entire project by Thursday, December 2.

In the final phase, you're going to add one last kick to the game by introducing a new type of place and new ants that are able to occupy this place. One of these ants is the most important ant of them all: the queen of the colony!

Problem 10 (3 pt)

Before writing any code, read the instructions and test your understanding of the problem:

python3 ok -q 10 -u

Let's add water to the colony! Currently there are only two types of places, the Hive and a basic Place. To make things more interesting, we're going to create a new type of Place called Water.

Only an insect that is waterproof can be placed in Water. In order to determine whether an Insect is waterproof, add a new class attribute to the Insect class named is_waterproof that is set to False. Since bees can fly, set their is_waterproof attribute to True, overriding the inherited value.

Now, implement the add_insect method for Water. First, add the insect to the place regardless of whether it is waterproof. Then, if the insect is not waterproof, reduce the insect's health to 0. Do not repeat code from elsewhere in the program. Instead, use methods that have already been defined.

After writing code, test your implementation:

python3 ok -q 10

Once you've finished this problem, play a game that includes water. To access the wet_layout, which includes water, add the --water option (or -w for short) when you start the game.

python3 gui.py --water

Problem 11 (3 pt)

Before writing any code, read the instructions and test your understanding of the problem:

python3 ok -q 11 -u

Currently there are no ants that can be placed on Water. Implement the ScubaThrower, which is a subclass of ThrowerAnt that is more costly and waterproof, but otherwise identical to its base class. A ScubaThrower should not lose its health when placed in Water.

Class	Food Cost	Initial Health
ScubaThrower	6	1

We have not provided you with a class header. Implement the ScubaThrower class from scratch. Give it a class attribute name with the value 'Scuba' (so that the graphics work) and remember to set the class attribute implemented with the value True (so that you can use it in a game).

After writing code, test your implementation:

python3 ok -q 11

Problem 12 (7 pt)

Before writing any code, read the instructions and test your understanding of the problem:

python3 ok -q 12 -u

Finally, implement the QueenAnt. The queen is a waterproof ScubaThrower that inspires her fellow ants through her bravery. In addition to the standard ScubaThrower action, the QueenAnt doubles the damage of all the ants behind her each time she performs an action. Once an ant's damage has been doubled, it is not doubled again for subsequent turns.

Note: The reflected damage of a FireAnt should not be doubled, only the extra damage it deals when its health is reduced to 0.

Note: If you downloaded the project early, there were a couple unlock questions that are no longer relevant. Rather than asking you to redownload the project, we will give you the answers to the affected questions:

Which QueenAnt instance is the true QueenAnt?

The first QueenAnt that is instantiated

What happens to any QueenAnt instance that is instantiated after the first one?

Its health is reduced to 0 upon taking its first action

Class	Food Cost	Initial Health
QueenAnt	7	1

However, with great power comes great responsibility. The QueenAnt is governed by three special rules:

1. If the queen ever has its health reduced to 0, the ants lose. You will need to override Ant.reduce_health in QueenAnt and call ants_lose() in that case in order to signal to the simulator that the game is over. (The ants also still lose if any bee reaches the end of a tunnel.)
2. There can be only one queen. A second queen cannot be constructed. To check if an Ant can be constructed, we use the Ant.construct() class method to either construct an Ant if possible, or return None if not. You will need to override Ant.construct as a class method of QueenAnt in order to add this check. To keep track of whether a queen has already been created, you can use an instance variable added to the current GameState.
3. The queen cannot be removed. Attempts to remove the queen should have no effect (but should not cause an error). You will need to override Ant.remove_from in QueenAnt to enforce this condition.

Hint: Think about how you can call the construct method of the superclass of QueenAnt. Remember that you ultimately want to construct a QueenAnt, not a regular Ant or a ScubaThrower.

Hint: You can find each Place in a tunnel behind the QueenAnt by starting at the ant's place.exit and then repeatedly following its exit. The exit of a Place at the end of a tunnel is None.

Hint: To avoid doubling an ant's damage twice, mark the ants that have been buffed in some way, in a way that persists across calls to QueenAnt.action.

Hint: When buffing the ants' damage, keep in mind that there can be more than one ant in a Place, such as if one ant is guarding another.

Hint: Feel free to add new methods to the QueenAnt class! Also, make sure to look at the buff method in Ant.

After writing code, test your implementation:

python3 ok -q 12

Extra Credit (2 pt)

Before writing any code, read the instructions and test your understanding of the problem:

python3 ok -q EC -u

Implement two final thrower ants that do zero damage, but instead apply a temporary "status" on the action method of a Bee instance that they throw_at. This "status" lasts for a certain number of turns, after which it ceases to take effect.

We will be implementing two new ants that inherit from ThrowerAnt.

• SlowThrower throws sticky syrup at a bee, slowing it for 3 turns. When a bee is slowed, it can only move on turns when gamestate.time is even, and can do nothing otherwise. If a bee is hit by syrup while it is already slowed, it is slowed for an additional 3 turns.
• ScaryThrower intimidates a nearby bee, causing it to back away instead of advancing. (If the bee is already right next to the Hive and cannot go back further, it should not move. To check if a bee is next to the Hive, you might find the is_hive instance attribute of Places useful). Bees remain scared until they have tried to back away twice. Bees cannot try to back away if they are slowed and gamestate.time is odd. Once a bee has been scared once, it can't be scared ever again.

Class	Food Cost	Initial Health
SlowThrower	4	1
ScaryThrower	6	1

In order to complete the implementations of these two ants, you will need to set their class attributes appropriately and implement the slow and scare methods on Bee, which apply their respective statuses on a particular bee. You may also have to edit some other methods of Bee.

You can run some provided tests, but they are not exhaustive:

python3 ok -q EC

Make sure to test your code! Your code should be able to apply multiple statuses on a target; each new status applies to the current (possibly previously affected) action method of the bee.

Optional Problems

Optional Problem 1

Before writing any code, read the instructions and test your understanding of the problem:

python3 ok -q optional1 -u

Implement the NinjaAnt, which damages all Bees that pass by, but can never be stung.

Class	Food Cost	Initial Health
NinjaAnt	5	1

A NinjaAnt does not block the path of a Bee that flies by. To implement this behavior, first modify the Ant class to include a new class attribute blocks_path that is set to True, then override the value of blocks_path to False in the NinjaAnt class.

Second, modify the Bee's method blocked to return False if either there is no Ant in the Bee's place or if there is an Ant, but its blocks_path attribute is False. Now Bees will just fly past NinjaAnts.

Finally, we want to make the NinjaAnt damage all Bees that fly past. Implement the action method in NinjaAnt to reduce the health of all Bees in the same place as the NinjaAnt by its damage attribute. Similar to the FireAnt, you must iterate over a potentially changing list of bees.

Hint: Having trouble visualizing the test cases? Try drawing them out on paper! See the example in Game Layout for help.

After writing code, test your implementation:

python3 ok -q optional1

For a challenge, try to win a game using only HarvesterAnt and NinjaAnt.

Optional Problem 2

We've been developing this ant for a long time in secret. It's so dangerous that we had to lock it in the super hidden CS88 underground vault, but we finally think it is ready to go out on the field. In this problem, you'll be implementing the final ant — LaserAnt, a ThrowerAnt with a twist.

Note: There are no unlocking tests for this question.

Class	Food Cost	Initial Health
LaserAnt	10	1

The LaserAnt shoots out a powerful laser, damaging all that dare to stand in its path. Both Bees and Ants, of all types, are at risk of being damaged by LaserAnt. When a LaserAnt takes its action, it will damage all Insects in its place (excluding itself, but including its container if it has one) and the Places in front of it, excluding the Hive.

If that were it, LaserAnt would be too powerful for us to contain. The LaserAnt has a base damage of 2. But, LaserAnt's laser comes with some quirks. The laser is weakened by 0.25 each place it travels away from LaserAnt's place. Additionally, LaserAnt has limited battery. Each time LaserAnt actually damages an Insect its laser's total damage goes down by 0.0625 (1/16). If LaserAnt's damage becomes negative due to these restrictions, it simply does 0 damage instead.

The exact order in which things are damaged within a turn is unspecified.

In order to complete the implementation of this ultimate ant, read through the LaserAnt class, set the class attributes appropriately, and implement the following two functions:

1. insects_in_front is an instance method, called by the action method, that returns a dictionary where each key is an Insect and each corresponding value is the distance (in places) that that Insect is away from LaserAnt. The dictionary should include all Insects on the same place or in front of the LaserAnt, excluding LaserAnt itself.
2. calculate_damage is an instance method that takes in distance, the distance that an insect is away from the LaserAnt instance. It returns the damage that the LaserAnt instance should afflict based on:
3. The distance away from the LaserAnt instance that an Insect is.
4. The number of Insects that this LaserAnt has damaged, stored in the insects_shot instance attribute.

In addition to implementing the methods above, you may need to modify, add, or use class or instance attributes in the LaserAnt class as needed.

You can run the provided test, but it is not exhaustive:

python3 ok -q optional2

Make sure to test your code!

Project submission

At this point, run the entire autograder to see if there are any tests that don't pass:

python3 ok

You can also check your score on each part of the project, including the extra credit problem:

python3 ok --score

Once you are satisfied, submit to complete the project.

python3 ok --submit

If you have a partner, make sure to add them to the project submission on okpy.

You are now done with the project! If you haven't yet, you should try playing the game!

python3 gui.py [-h] [-d DIFFICULTY] [-w] [--food FOOD]

Acknowledgments: Tom Magrino and Eric Tzeng developed this project with John DeNero. Jessica Wan contributed the original artwork. Joy Jeng and Mark Miyashita invented the queen ant. Many others have contributed to the project as well!

The new concept artwork was drawn by Alana Tran, Andrew Huang, Emilee Chen, Jessie Salas, Jingyi Li, Katherine Xu, Meena Vempaty, Michelle Chang, and Ryan Davis.