Consider the following description of two algorithms, A and B, each with the same Big-O. In A's actual growth function there is a larger constant being added than in B's. In B's actual growth function the dominant factor has a larger constant multiplier than in A's. Assume that the functions are alike in every other way. When looking at actual run-times (rather than Big-Oh), is one likely to be better than the other in all circumstances? If so, which? Explain. A. Neither is better than the other in any circumstance, because the two algorithms have the same Big-Oh and will always have exactly the same performance.
B. B is the better algorithm because the larger constant addend in A means that A will always have more overhead than B.
C. A is the better algorithm because the larger constant multiplier in B means that A will always be more efficient than B.
D. None of these is correct.

Write a program that lets the user play the game of rock, paper, scissors against the computer. the program should work as follows. 1. when the program begins, a random number in the range of 1 through 3 is generated. if the number is 1, then the computer has chosen rock. if the number is 2, then the computer has chosen paper. if the number is 3, then the computer has chosen scissors. (don’t display the computer’s choice yet.) 2. the user enters his or her choice of “rock”, “paper”, or “scissors” at the keyboard. (you can use a menu if you prefer.) 3. the computer’s choice is displayed. 4. a winner is selected according to the following rules: • if one player chooses rock and the other player chooses scissors, then rock wins. (the rock breaks the scissors.) • if one player chooses scissors and the other player chooses paper, then scissors wins. (scissors cuts paper.) • if one player chooses paper and the other player chooses rock, then paper wins. (paper wraps rock.) • if both players make the same choice, the game must be played again to determine the winner. be sure to divide the program into functions that perform each major task. include the code and the console output from running your program with test inputs in your report.