Answer:
It changes the speed at different stages of the transition.
Explanation:
HTML is an acronym for hypertext markup language and it is a standard programming language which is used for designing, developing and creating web pages.
Generally, all HTML documents are divided into two (2) main parts; body and head. The head contains information such as version of HTML, title of a page, metadata, link to custom favicons and CSS etc. The body of the HTML document contains the contents or informations that a web page displays.
Basically, the purpose of the property, transition-timing-function is that It changes the speed at different stages of the transition. Thus, it states the values between the beginning and ending of a transition are calculated over its duration.
When two or more computers are connected it is called Local Area Network (LAN).
Answer / Explanation:
#include <iostream>
using namespace std;
int main()
{
int userNum = 0;
userNum = 20;
cout << userNum << " ";
while (userNum > 1)
{
userNum = userNum/2;
cout << userNum << " ";
}
cout << endl;
return 0;
}
However, we should note that the above codes divides properly but when it gets to 0, it will always give output as 0 instead of terminating the program.
Hence to make it terminate, we include:
while (userNum > 1)
{
cout << userNum << " ";
userNum = userNum/2;
}
The above code alternatively should be replaced with int userNum = 0; .
Also, for the sake of industry best standard and the general principle, we can say:
The general principle is:
while ( <conditional> )
{
// Use the data
// Change the data as the last operation in the loop.
}
A for loop provides natural placeholders for these.
for ( <initialize data>; <conditional>; <update data for next iteration> )
{
// Use the data
}
If you were to switch to using a for loop, which I recommend, your code would be:
for ( userNum = 20; userNum > 0; userNum /= 2 )
{
cout << userNum << " ";
Answer and Explanation:
The compression rate says by how much the text was compressed from the original as a percentage. Don't forget that the compressed version of the text is the compressed text size + dictionary size.
From the given picture:
compressed text size = 17 bytes
dictionary size = 26 bytes
compressed text size + dictionary size = 17 + 26 = 43 bytes
original test size = 58 bytes
compression rate as percentage = (43 / 58) * 100 = 74.14% ( rounded to two decimal )
Space savings = 100 - compression rate
= 100 - 74.14 = 25.86%
Is this a "good" compression rate? Why or why not?
Compression data is a heuristic problem. It’s hard to say the exact compression rate that is good or bad. If you feel satisfied by ~ 26% of compression, then it is a good compression rate.
The compression rate above frees up 26% space for you, so that you can put additional information
without losing information. In that way it is a good compression rate.
