To convert the inputs to dollars and cents, we make use of a combination of multiplication and addition.
The program written in Python where comments are used to explain each line is as follows:
<em />
<em>#This gets input for the number of quarters</em>
quarters = int(input("Quarters: "))
<em>#This gets input for the number of dimes</em>
dimes = int(input("Dimes: "))
<em>#This gets input for the number of nickels</em>
nickels= int(input("Nickels: "))
<em>#This gets input for the number of pennies</em>
pennies= int(input("Pennies: "))
<em>#This converts the amount to dollars and cents</em>
dollars = quarters * 0.25 + dimes * 0.10 + nickels * 0.05 + pennies * 0.01
<em>#This prints the amount to 2 decimal places</em>
print("Amount ${:.2f}".format(dollars))
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I think storm surges cause fro means world "earth" so a storm surge is like a flood SO plates would cause earth quakes and stuff
Answer:
This is not true
Explanation:
The optimal Huffman code is used to encrypt and compress text files. It uses fixed-length code or variable-length code for encryption and compression of data.
The professor's character code is similar to Huffman's variable-length coding which uses variable length od binary digits to represent the word strings. The file size of the text file above is;
= 6 x 1 + 2 x 2 + 3 x 2 + 2 x 2 + 8 x 1 = 28 bits
This would be the same for both cases.
The encrypt would be the problem as the encoded and decoding of the characters B and E may cause an error.