Which TranscribeMe tag should you use if you are unable to make out a word or phrase due to a difficult accent, poor audio, or a
1 answer:
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Explanation:
FP -
CPI - 1
INT -,
CPI - 1
I/S - ,
CPI - 4
Branch -
CPI - 2
Clock Speed -
Time(old) =
Time(old) =
Time(new) =
=
=
=
CPI(new) =
= -4.12
Answer:
Go to explaination for the program code.
Explanation:
Before running the program you need to have these files created like below in your unix box.
Unix Terminal> cat nouns.txt
BOY
GIRL
BAT
BALL
Unix Terminal> cat articles.txt
A
THE
Unix Terminal> cat verbs.txt
HIT
SAW
LIKED
Unix Terminal> cat prepositions.txt
WITH
BY
Unix Terminal>
Code:
#!/usr/local/bin/python3
import random
def getWords(filename):
fp = open(filename)
temp_list = list()
for each_line in fp:
each_line = each_line.strip()
temp_list.append(each_line)
words = tuple(temp_list)
fp.close()
return words
articles = getWords('articles.txt')
nouns = getWords('nouns.txt')
verbs = getWords('verbs.txt')
prepositions = getWords('prepositions.txt')
def sentence():
return nounPhrase() + " " + verbPhrase()
def nounPhrase():
return random.choice(articles) + " " + random.choice(nouns)
def verbPhrase():
return random.choice(verbs) + " " + nounPhrase() + " " + prepositionalPhrase()
def prepositionalPhrase():
return random.choice(prepositions) + " " + nounPhrase()
def main():
number = int(input('Enter number of sentences: '))
for count in range(number):
print(sentence())
if __name__=='__main__':
main()
kindly check attachment for code output and onscreen code.
