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Each node in a binary tree consists of a key and a value The key is used to calculate the position of the node within the tree and the value to hold the associated data Each node can also have a maximum of two children If a node does not have any children, it is called a leaf There are three functions provided for creating a new GTree The simplest function is g_tree_new(), which will create a new empty tree with the specified comparison function This function will be used to compare keys when inserting an element into the tree or reordering nodes This function returns a negative integer if the first element is less than the second, a positive integer if the second element is less than the first, and zero if they are the same.

The NUnit test lives in the IntegrationTests project, which also links in the hibernate.cfg.xml file to leverage the same configuration. Figure 23.6 shows the IntegrationTests project structure. We ve kept it minimal for the sake of simplicity. Notice the VisitorRepositoryTester class. It contains the automated testing necessary to ensure that the repository implementation functions as Figure 23.6 The IntegrationTests expected. We can t write unit tests for data access project contains tests for all the because data access, by its very nature, is an integramappings and repositories. tion test concern. Not only are we integrating a third-party library, NHibernate, but we re also expecting another process to be running on our network, server, or workstation. SQL Server must be up and running, and it also must contain the correct schema. If anything is wrong along the way, the tests will fail. Because of this arrangement, these integration tests are more complex than tests that don t require persisted data. Even so, when you write data access tests, keep them as small as possible, and only test the data access. Listing 23.10 shows the code for the VisitorRepositoryTester.

A traditional hash function that, say, simply adds the ASCII values of the characters in the message together does not satisfy all these properties. For instance, such a traditional hash function does not exhibit collision-resistance, as the messages AB and BA have the same hash value even though they are different messages. Also, note that checksum functions, such as CRC32, are used to provide redundancy checks against communication errors and may be efficient, but in general are not one-way or collision-resistant. Cryptographic hash functions use much more sophisticated techniques to ensure pre-image and collision resistance properties. Two real-world examples of hash functions that are commonly used in building security protocols are MD5 and SHA-1. MD5 is an acronym that stands for Message Digest 5, and it was developed by Ron Rivest, who also contributed to the development of the RSA asymmetric cipher. MD5 takes as input multiples of 512 bits. If a message is not a multiple of 512 bits, the message can be padded such that it becomes a multiple of 512 bits. MD5 produces a 128-bit message digest as output. SHA-1 is another hash function that takes 512 bits of input at a time, but its output is 160 bits instead of 128. SHA-1 was developed by collaboration between NIST and NSA. Over the past few years, there have been some attacks constructed against the collision resistance properties of MD5 and SHA-1. We briefly discuss these attacks in Section 15.4, after describing how these hash functions are used in MAC and digital signature schemes.

GTree* g_tree_new (GCompareFunc key_compare_func); If you need to send data to the comparison function, you can create the binary tree with g_tree_new_with_data() The key_compare_data pointer will be sent as a third parameter to the comparison function, defined by GCompareDataFunc GTree* g_tree_new_with_data (GCompareDataFunc key_compare_func, gpointer key_compare_data); Furthermore, you can create a new tree with g_tree_new_full(), which accepts two additional parameters Each is a GDestroyNotify function that will be called to destroy a key or value when necessary You should specify these functions if you are using dynamically allocated keys and/or values Otherwise, the memory will be lost when the tree is destroyed GTree* g_tree_new_full (GCompareDataFunc key_compare_func, gpointer key_compare_data, GDestroyNotify key_destroy_func, GDestroyNotify value_destroy_func); Since GTree automatically calculates the position of new key-value pairs, GLib only provides two functions for adding new nodes into a tree including g_tree_insert().

using using using using using using using using System; System.Collections.Generic; System.Linq; Core; Infrastructure; NHibernate; NUnit.Framework; NUnit.Framework.SyntaxHelpers;