Which of the following scenarios demonstrates leadership?
2 answers:
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Answer:
72.80 % more energy will be consumed.
Explanation:
First of all, let us have a look at the formula of energy for a processor.
Where, is the energy
is the capacitance
is the voltage and
is the clock rate.
Let be the energy of older processor.
be the capacitance of older processor.
be the voltage of older processor
be the capacitance of older processor
So, ....... (1)
and
Let be the energy of newer processor.
be the capacitance of newer processor.
be the voltage of newer processor
be the capacitance of newer processor
....... (2)
Dividing equation (2) with equation (1):
As per given statement:
Putting the values above:
Energy consumed by newer processor is <em>1.728 </em>times the energy consumed by older processor.
OR
<em>72.80 %</em> more energy will be consumed by the newer processor.
Answer:
#section 1
def maxTemp(filename):
import pathlib
f = pathlib.Path(filename)
f.exists()
if f.exists():
f = open(filename, "r")
#section 2
next(f)
res = [int(sub.split(',')[1]) for sub in f]
maxdata = (res[0])
for i in range(len(res)-1):
if maxdata < res[i]:
maxdata = res[i]
index = res.index(maxdata)
f.close()
#section 3
li = []
a = open(filename, "r")
for line in a:
line = line.strip()
li.append(line)
a.close()
return (li[index+1])
else:
return -1
print(maxTemp("new.csv"))
Explanation:
#section 1:
The function maxTemp is defined. We import pathlib in other to check if the file exists, if it does we carry on with opening the file and if it doesn't the program returns -1.
#section 2:
We start splitting the sub-lists from the second line i.e <em>next(f)</em>. For each line we take the second index element and convert it to an integer.
<em>res = [int(sub.split(',')[1]) for sub in f] </em>
The maximum number is gotten by using the if statement to compare all elements in the list. The index of the maximum item in the list is collected.
the file is then closed.
#section 3 :
The file is re-opened and all the lines are striped and passed into a new list and the index recovered from section 2, is used to get the day with the highest temperature and the line is returned.
