Answer:
The answer is "Contained in"
Explanation:
Its term refers to the classified information of the extraction process, even though outlined in an authorized categorization instruction origin without extra explanation or review, and incorporates these data in a new document.
In this concept, the information appears in the extracted word-for-word, its definition of 'in' will apply, or if its data has been paraphrased or restated from the current text, that's why we can say that this concept derivatively classifies the statement in new documents.
Answer:
I am doing it with python.
Explanation:
nums = '9 -8 -7 -6 -5 -4 -2 0 1 5 9 6 7 4'
myfile = open('data.txt', 'w')
myfile.write(nums)
myfile.close()
myfile = open('data.txt', 'r')
num1 = (myfile.read())
num1 = num1.split()
print(num1)
print(type(num1))
for x in num1:
x = int(x)
if x < 0:
minus = open('dataminus.txt', 'a')
minus.write(str(x) + ' ')
minus.close()
elif x>= 0:
plus = open('dataplus.txt', 'a')
plus.write(str(x)+' ')
plus.close()
Answer:
Mercury, rontgen rays, etc.
Explanation:
There are lots of answers to this question, hope these two help.
