- Create a dictionary for a dragon with details: name => "Smaug" or any string

title => "King Under the Mountain, Lord Smaug" or any string

level => any number

abilityList, (a list of strings that contains the ability names)

- 'Gravity Field'

- 'Ascend'

- 'Dragon Rage'

- 'Stoneplate'

- 'Reborn'

attackDamage => any number

mana => any number

abilityPower => any number

armor => any number

magicResist => any number

isAngry => True or False

- Using the dictionary you created, print the title and isAngry,

also print the first ability from the ability list

- Update dragon's level to 100 using something like this: dictionary[key] = 100 (replace the dictionary and key with your dragon's variable name and actual key name, like 'level')

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?