Sunday, December 29, 2024
Google search engine
HomeLanguagesPython – Find all combinations of overlapping substrings of a string

Python – Find all combinations of overlapping substrings of a string

Given a string, the task is to write a Python program to find all combinations of overlapping substrings of a string and store it in a list. The list of lists will be ordered and grouped by length of substrings.

Input : test_str = ‘Geeks4G’

Output : [[”, ”, ”, ”, ”, ”, ”, ”], [‘G’, ‘e’, ‘e’, ‘k’, ‘s’, ‘4’, ‘G’], [‘Ge’, ‘ee’, ‘ek’, ‘ks’, ‘s4’, ‘4G’], [‘Gee’, ‘eek’, ‘eks’, ‘ks4’, ‘s4G’], [‘Geek’, ‘eeks’, ‘eks4’, ‘ks4G’], [‘Geeks’, ‘eeks4’, ‘eks4G’], [‘Geeks4’, ‘eeks4G’], [‘Geeks4G’]]

Explanation : All lengths overlapping substrings extracted.

Input : test_str = ‘Geeks’

Output : [[”, ”, ”, ”, ”, ”], [‘G’, ‘e’, ‘e’, ‘k’, ‘s’], [‘Ge’, ‘ee’, ‘ek’, ‘ks’], [‘Gee’, ‘eek’, ‘eks’], [‘Geek’, ‘eeks’], [‘Geeks’]]

Explanation : All lengths overlapping substrings extracted.

Method : Using list comprehension, slicing and loop

In this, we perform task of getting each slice using slicing, all the strings of particular size is created using list comprehension. Manipulation of all sizes is done using loop. Later all are printed as a list of lists.

Example:

Python3




# Python3 code to demonstrate working of
# Overlapping substrings of all lengths
# Using list comprehension + slicing + loop
 
# initializing string
test_str = 'Geeks4G'
 
# printing original string
print("The original string is : " + str(test_str))
 
# manipulating overlap size using loop
res = []
for idx in range(len(test_str) + 1):
 
    # getting overlap strings
    res.append([test_str[j: j + idx] for j in range(len(test_str) - idx + 1)])
 
# printing result
print("All overlapping Strings : " + str(res))


Output:

The original string is : Geeks4G

All overlapping Strings : [[”, ”, ”, ”, ”, ”, ”, ”], [‘G’, ‘e’, ‘e’, ‘k’, ‘s’, ‘4’, ‘G’], [‘Ge’, ‘ee’, ‘ek’, ‘ks’, ‘s4’, ‘4G’], [‘Gee’, ‘eek’, ‘eks’, ‘ks4’, ‘s4G’], [‘Geek’, ‘eeks’, ‘eks4’, ‘ks4G’], [‘Geeks’, ‘eeks4’, ‘eks4G’], [‘Geeks4’, ‘eeks4G’], [‘Geeks4G’]]

Time Complexity: O(n2)

Space Complexity: O(n)

Dominic Rubhabha-Wardslaus
Dominic Rubhabha-Wardslaushttp://wardslaus.com
infosec,malicious & dos attacks generator, boot rom exploit philanthropist , wild hacker , game developer,
RELATED ARTICLES

Most Popular

Recent Comments