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What we need is some way to package up the data that is needed to represent a circle, and some way to restrict the methods that can be applied to the data so that only valid operations are possible Both of these things can be achieved by creating a custom Circle data type We will see how to create a Circle data type in later in this section, but rst we need to cover some preliminaries and explain some terminology Don t worry if the terminology is unfamiliar at rst; it will become much clearer once we reach the examples We use the terms class, type, and data type interchangeably In Python we can create custom classes that are fully integrated and that can be used just like the built-in data types We have already encountered many classes, for example, dict, int, and str We use the term object, and occasionally the term instance, to refer to an instance of a particular class For example, 5 is an int object and "oblong" is a str object Most classes encapsulate both data and the methods that can be applied to that data For example, the str class holds a string of Unicode characters as its data and supports methods such as strupper() Many classes also support additional features; for example, we can concatenate two strings (or any two sequences) using the + operator and nd a sequence s length using the built-in len() function Such features are provided by special methods these are like normal methods except that their names always begin and end with two underscores, and are prede ned For example, if we want to create a class that supports concatenation using the + operator and also the len() function, we can do so by implementing the __add__() and __len__() special methods in our class Conversely, we should never de ne any method with a name that begins and ends with two underscores unless it is one of the prede ned special methods and is.

Figure 65 Java program containing a CyclicBarrier This program is used to time the execution of function runit()

object We convert this object into a standard Python list, so now we have a list containing a single item a list of our results which we assign to the items variable, and that we then further process via the populate_children() call Before discussing the handling of the results, we will brie y mention the error handling If the parser fails it will raise an exception We don t want PyParsing s exceptions to leak out to clients since we may choose to change the parser generator later on So, if an exception occurs, we catch it and then raise our own exception (a ValueError) with the relevant details

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In the case of a successful parse of the hierarchyblk example, the items list looks like this (with occurrences of <BlockBlock object at 0x8f52acd> and similar, replaced with Block for clarity):

import javautilconcurrent*; public class TimerExample implements Runnable { static int N;

[0, Block, [], 2, 0, Block, [], 2, Block, [], 0, Block, []]

Arguably, this is a violation of the ideal that a logical model contain no elements of physical implementation The use of a third entity, whereby we associate Deans and Schools by ID, duplicates the physical implementation method for many-to-many relationships Physically, it is impossible to model this relationship without using a third table, sometimes called a junction or join table So using it in the model may not conform to strict logical modeling guidelines; however, adding it in the logical model can help remind you why the relationship is there, as well as aid future modelers in understanding the relationship in the logical model Additionally, using the third entity can let you use additional attributes that actually describe each instance of the relationship For example, you can use the Deans_Schools entity to note how long a specific dean has been in charge of a given school If you have multiple combinations, the

Whenever we parsed an empty block we returned 0 to the parser s results list; whenever we parsed new rows we returned the number of rows; and whenever we encountered a node_data, we created a Block to represent it In the case of Blocks they always have an empty child list (ie, the children attribute is set to []), since at this point we don t know if the block will have children or not So here the outer list represents the root block, the 0s represent empty blocks, the other integers (all 2s in this case) represent new rows, and the []s are empty child lists since none of the hierarchyblk le s blocks contain other blocks

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