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Explain the Interfaces in Ruby
Recall that in object-oriented programming, an interface is a collection of abstract operations that cannot be instantiated. Even though Ruby is object-oriented, it doesn't have interfaces. Interface-like classes can be constructed in Ruby by creating classes whose operations have empty bodies. These pseudo-interface classes can be used as super-classes of classes which implement the interface. Pseudo-interface classes can still be instantiated and their operations can still be known as without overriding them, so they are only a bit like real interfaces. One way to make them more like interfaces, though, is to implement the operations in pseudo-interface so that they raise exceptions if they are called. This forces sub-classes to override the operations in these pseudo-interface classes before they can be used.
State about the pre- and post conditions Programmers can easily document other pre- and post conditions and class invariants, though, and insert code to check most value preco
1. What is an expert system and where are they needed? 2. What are the major issues involved in building an expert system?
You are given an undirected graph G = (V, E) in which the edge weights are highly restricted. In particular, each edge has a positive integer weight of either {1,2,...,W}, where W
An undirected graph G with n vertices and e edges is shown by adjacency list. What is the time required to generate all the connected components? O (e+n)
A binary tree of depth "d" is an almost complete binary tree if A) Every leaf in the tree is either at level "d" or at level "d-1" B) For any node "n" in the tree with a
Example 1: Following are Simple sequence of statements Statement 1; Statement 2; ... ... Statement k; The entire time can be found out through adding the times for
Determine YIQ Colour Model Whereas an RGB monitor requires separate signals for the red, green, and blue components of an image, a television monitor uses a single composite si
Binary Search Tree let three types of traversals by its nodes. They are: Pre Order Traversal In Order Traversal Post Order Traversal In Pre Order Traversal, we ca
B i n a ry Search Algorithm is given as follows 1. if (low > high) 2. return (-1) 3. mid = (low +high)/2; 4. if ( X = = a [mid]) 5. return (mid); 6.
How to measure the algorithm's efficiency? It is logical to examine the algorithm's efficiency as a function of some parameter n showing the algorithm's input size. Instance
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