Answer:
command line and graphical user interface
Explanation:
there were (and still are) operating system with no graphical user interface at all, as for example some Unix releases
Answer:
See explaination
Explanation:
StackExample.java
public class StackExample<T> {
private final static int DEFAULT_CAPACITY = 100;
private int top;
private T[] stack = (T[])(new Object[DEFAULT_CAPACITY]);
/**
* Returns a reference to the element at the top of this stack.
* The element is not removed from the stack.
* atreturn element on top of stack
* atthrows EmptyCollectionException if stack is empty
*/
public T peek() throws EmptyCollectionException
{
if (isEmpty())
throw new EmptyCollectionException("stack");
return stack[top-1];
}
/**
* Returns true if this stack is empty and false otherwise.
* atreturn true if this stack is empty
*/
public boolean isEmpty()
{
return top < 0;
}
}
//please replace "at" with the at symbol
Note:
peek() method will always pick the first element from stack. While calling peek() method when stack is empty then it will throw stack underflow error. Since peek() method will always look for first element ffrom stack there is no chance for overflow of stack. So overflow error checking is not required. In above program we handled underflow error in peek() method by checking whether stack is an empty or not.
Answer:
- from matplotlib import pyplot as plt
-
- with open("text.txt") as file:
- data = file.readlines()
- category = []
- amount = []
- for row in data:
- values = row.split(" ")
- category.append(values[0])
- amount.append(float(values[1]))
-
- figure = plt.figure()
- ax = figure.add_axes([0,0,1,1])
- ax.axis('equal')
- ax.pie(amount, labels = category, autopct='%1.2f%%')
- plt.show()
Explanation:
Firstly, we need to import matplotlib library (Line 1).
Next, open a file stream and use readlines method to read the data from the text file (Line 4). Presume the data read from the text files are as follows:
Rent 450
Gas 150
Food 500
Clothing 120
Car 600
Create two lists, category and amount (Line 5-6). Use a for loop to traverse through the read data and use split method to break each row of data into two individual items. The first item is added to category list whereas the second item is added to amount list (Line 7 - 10).
Next, create a plot figure and then add the axes (Line 12 - 13). We can use the pie method to generate a pie chart (Line 15) by setting the amount list as first argument and category list as value of labels attributes. The output pie chart can be found in the attachment.
Answer:
SURVEILLANCE-SPECIFIC DESIGN.
Explanation:
Defensible space offers a series of architectural guidelines that can be used in the design of new urban residential complexes to promote both the residential group’s territorial claim to its surroundings and its ability to conduct natural surveillance. The designs are: site interrelationship design, site design, street design and surveillance-specific design.
Surveillance-specific design can be used to increase general visibility by providing adequate lighting, by reducing or eliminating physical barriers to visibility, and by the visibility-promoting location of key areas (entrances, lobbies, elevator waiting areas, parking areas e.t.c.) so as to be directly visible from as many viewpoints as possible.
Since the data center designer requested additional lighting for the entrance to the data center as well as the removal of a object which is blocking security's view of the entrance, then it is an example of SURVEILLANCE-SPECIFIC DESIGN.
Answer:
The best option is A).True
Explanation:
This is because, according to the statement, it is possible to uncover a potential threat in the risk governance domain and quickly assess its impact using the risk evaluation domain in an IT environment. The risk IT framework is used in an IT environment for security of domains, the business involved, etc.
