Suppose you are given a floating-point value in a base given by base and in the form of the tuple, (sign, significand, exponent), where sign is either the character ' ' if the value is positive and '-' otherwise; significand is a string representation in base-base; exponent is an integer representing the exponent value. Complete the function, def eval_fp(sign, significand, exponent, base):

Some of the items below indicate the steps required to move a slide to a different location in a presentation. select those steps and indicate the order in which they should be performed to move the slide. (for example, if an item describes what you do first, select 1.) included in the list are items that are not part of the process. for these items, select n/a, an abbreviation for not applicable. 1 — first 2 — second 3 — third 4 — fourth 5 — fifth 6 — sixth n/a — not applicable drag the slide to the desired place. enter the slide position desired. hold the mouse button down. select move from the tools menu. select the slide. switch to the notes view.

1.the index finger on your right hand types the f r v 4 j u m 7 h y 6 n lo.9 j u 7 m g t 5 b 2.if you need to multiply 400, 2, and 1 ½, what would you type on the numeric keypad? 400*2*1.5 400/2*1.5 400/2/1.5 400*2*1½ 3.select all examples of proper keyboarding technique. rest your fingers gently on the home row or home keys. slouch in your chair. rest your palms on the keyboard. relax your fingers. keep your hands lower than your elbows.

When making changes to optimize part of a processor, it is often the case that speeding up one type of instruction comes at the cost of slowing down something else. for example, if we put in a complicated fast floating-point unit, that takes space, and something might have to be moved farther away from the middle to accommodate it, adding an extra cycle in delay to reach that unit. the basic amdahl's law equation does not take into account this trade-off. a. if the new fast floating-point unit speeds up floating-point operations by, on average, 2ă—, and floating-point operations take 20% of the original program's execution time, what is the overall speedup (ignoring the penalty to any other instructions)? b. now assume that speeding up the floating-point unit slowed down data cache accesses, resulting in a 1.5ă— slowdown (or 2/3 speedup). data cache accesses consume 10% of the execution time. what is the overall speedup now? c. after implementing the new floating-point operations, what percentage of execution time is spent on floating-point operations? what percentage is spent on data cache accesses?