
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN: 9780133594140
Author: James Kurose, Keith Ross
Publisher: PEARSON
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Question
The add() method resizes the array properly when items are added to the array.
In the arraybag.py file define the add() method in the ArrayBag class by completing the following:
- Check array memory and increase it if necessary
To test your program run the test() method in the testbag.py file.
Your program's output should look like the following:

Transcribed Image Text:### Educational Content: Implementing Dynamic Arrays in Python
#### Instructions
The `add()` method is designed to dynamically resize the array when new items are added. Follow these steps to implement the `add()` method in the `ArrayBag` class within the `arraybag.py` file:
1. **Check Array Capacity**: Ensure that there is enough memory and increase the array size if necessary.
#### Testing the Implementation
To test your implementation, execute the `test()` method in the `testbag.py` file.
---
#### Code Overview
```python
class ArrayBag(object):
"""An array-based bag implementation."""
# Class variable
DEFAULT_CAPACITY = 10
# Constructor
def __init__(self, sourceCollection=None):
"""Sets the initial state of self, which includes the contents
of sourceCollection, if it's present."""
self.items = Array(ArrayBag.DEFAULT_CAPACITY)
self.size = 0
if sourceCollection:
for item in sourceCollection:
self.add(item)
```
#### Explanation
- **Class Definition**: The `ArrayBag` class is an implementation of a bag using arrays.
- **DEFAULT_CAPACITY**: It is a class variable that sets the default size of the array to 10.
- **Constructor (`__init__` method)**:
- Initializes the `items` array with the default capacity.
- Sets the initial size of the bag to 0.
- If a `sourceCollection` is provided, it iterates through each item and adds it to the bag using the `add()` method.
#### Terminal Execution
The terminal snapshot shows the command used to run the Python script:
```bash
sandbox $ python3 arraybag.py
sandbox $
```
This indicates the execution of the `arraybag.py` script in a Python 3 environment.
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