Answer:
def extract_title(file):
import re
a =''
with open(file,'r') as file:
for line in file:
a += line
m = re.search("^(TITLE)(.*?)(JOURNAL)", a, re.M + re.S)
print(m.groups()[1])
extract_title('new.txt')
Explanation:
The programming language used is python 3.
The function is first defined and the regular expression module is imported.
A variable is initialized to an empty string that will hold the content of the GenBank formatted file.
The file is opened and every line in the file is assigned to the string variable. The WITH statement allows files to be closed automatically.
Regular expression is used to capture all the files between TITLE and JOURNAL in a group.
The group is printed and the function is called.
I have attached a picture of the code in action.
It makes the possibility of an unwanted user to break into your account much smaller.
The statements that correctly describe the time complexity of data structures with N data are:
- The average time complexity of the data lookup in a hash table is O(N).
- The average time complexity of inserting data into a heap is O(logN)
<h3>What is time complexity of data structures?</h3>
Time Complexity of an algorithm is known to be the depiction of the amount of time needed by the algorithm to carry out to completion.
Note that The statements that correctly describe the time complexity of data structures with N data are:
- The average time complexity of the data lookup in a hash table is O(N).
- The average time complexity of inserting data into a heap is O(logN)
Learn more about data from
brainly.com/question/17350816
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The answer is drag and drop.
With drag and drop editing, word automatically displays a paste option button near the pasted or moved text.
