... | @@ -663,6 +663,144 @@ class TestPlayer(unittest.TestCase): |
... | @@ -663,6 +663,144 @@ class TestPlayer(unittest.TestCase): |
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```
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```
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## Data Classes & Abstract Base Classes
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There are a quite a few useful OOP modules and decorators in Python, including:
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- [`collections.abc`](https://docs.python.org/3/library/collections.abc.html)
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- [Data Classes](https://docs.python.org/3/library/dataclasses.html)
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Let us take a quick look at an example of a [linked list from CS 330 Object
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Oriented Programming &
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Design](https://git-community.cs.odu.edu/tkennedy/python-workshop/-/tree/master/OOP/Linked-List).
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```python
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"""
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This is an example Python Linked List that demonstrates:
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- iterators
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- Abstract Base Classes with the collections.abc module
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- deep copies with the copy module
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- data classes
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- properties
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- decorators
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"""
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import copy
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import collections.abc as abc
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from dataclasses import dataclass
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from typing import (Any)
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class LinkedList(abc.Iterable):
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"""
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The LinkedList (LL) is a wrapper for three items.
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- Head pointer
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- Tail pointer
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- Node counter (cardinality)
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Only the head pointer is necessary, the latter three items are
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included for convenience.
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"""
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@dataclass
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class Node:
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"""
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The Node class is the atom--smallest base component--of a Linked List.
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An array element can viewed as its analog.
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For simplicity in this example, the Node will store an integers as
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data. In a later example, methods for generalizing this--through use of
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templates--will be utilized.
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This version makes use of the new Python data class feature.
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"""
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data: Any = 0
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next: "Node" = None
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class Iterator(abc.Iterator):
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"""
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A special purpose Linked List Iterator
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"""
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def __init__(self, node: "Node"):
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self.__current_node = node
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def __next__(self):
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if self.__current_node is None:
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raise StopIteration
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next_val = (self.current_node).data
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self.__current_node = (self.current_node).next
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return next_val
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@property
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def current_node(self):
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"""
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Retrieve the value in this node (or None if the Node is empty).
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"""
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return self.__current_node
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def __init__(self):
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"""
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Construct an empty Linked List
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"""
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self.__head: "Node" = None
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self.__tail: "Node" = None
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self.__nodes: int = 0
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def append(self, to_add: Any):
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"""
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Add a Node at the end of the list
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"""
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# Store the "to_add" data within the node
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new_node = LinkedList.Node(data=to_add)
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# Handle the case where the first node is added
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if self.__head is None:
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self.__head = new_node
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self.__tail = new_node
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else:
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(self.__tail).next = new_node
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self.__tail = new_node
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self.__nodes += 1
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def __deepcopy__(self, memo):
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clone = LinkedList()
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for datum in self:
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clone.append(copy.deepcopy(datum, memo))
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return clone
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def __len__(self):
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return self.__nodes
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def __iter__(self):
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return LinkedList.Iterator(self.__head)
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def __str__(self):
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"""
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Iterate through the LinkedList and print each individual Node
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with an index.
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"""
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return "\n".join((f"Node # {index:>4} - {data:>4}"
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for index, data in enumerate(self)))
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```
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## Shapes Example
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## Shapes Example
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While [this
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While [this
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