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# 1.4. Levenshtein distance
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## Given two strings, check if they are one edit (or zero edits) away. Edits can be insertion, substitution or deletion
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## First idea
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Difference in length must be at most 1
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```python
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if abs(len(s1) - len(s2)) > 1:
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return False
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if s1 == s2:
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return True
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```
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BCR is O(n) time, O(1) space.
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This 'edit away' is Levenshtein distance, task is to check if Levenshtein distance <= 1.
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Can we do `s1 - s2`? Or `s1.difference(s2)`? Not in python.
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## Second idea
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From the Internet, this is O(1) time:
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```python
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def levenshtein(s1, s2):
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return len("".join(s1.rsplit(s2))) <= 1
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```
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But this splits the first word with the second word, it doesn't work if there's a gap/addition in the middle of the string.
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## Third idea
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Keep a boolean `flag` that must be at most 1. Iterate through the smallest string, check for differences, if difference: flag += 1, if flag == 2, return False.
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### If equal lengths
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Same length, match s1[i] vs s2[i]. if difference: flag += 1, if flag == 2, return False. if iteration done, return True
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### Unequal lengths
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Iterate through the smallest string, match s1[i] vs s2[i]. If difference, the smallest string must have a character deletion. flag = 1, and keep matching s1[i] vs s2[i+1] (where s1 is the small string). If the smallest string is iterated and no errors, return True
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> Tests:
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* ("", "") -> True, correct
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* ("an", "a") -> True, correct
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* ("a", "an") -> True, correct
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* ("ane", "ae") -> True, correct
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* ("ane", "ne") -> True, correct
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* ("asdfgh", "asdgh") -> True, correct
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* ("asdf", "asgf") -> True, correct
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* ("asdfg", "adfgh") -> False, corrrect
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* ("an", "ne") -> False, correct
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Tests passed, O(min(len(s1), len(s2)))) time, O(1) space. Possibly code can be compressed but I don't know how.
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## Solution
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First solution, 3 different cases for equal lengths, len1 < len2, len2 < len1. Seeing this, my code:
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```python
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elif len1 < len2: # s1 shorter than s2
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for i in range(len1):
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if not flag:
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if s1[i] != s2[i]:
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if flag:
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return False
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flag = True
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else: # there's already one difference
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if s1[i] != s2[i + 1]:
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return False
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return True
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elif len2 < len1: # s2 shorter than s1
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for i in range(len2):
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if not flag:
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if s1[i] != s2[i]:
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if flag:
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return False
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flag = True
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else: # there's already one difference
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if s1[i + 1] != s2[i]:
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return False
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return True
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```
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can be merged into one:
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```python
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else:
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index1 = 0
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index2 = 0
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while index1 < len1 and index2 < len2:
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if s1[index1] != s2[index2]: # difference found
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if flag:
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return False
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flag = True
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## need to check for shorter string here...
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```
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The solution creates 2 new strings, short and long (using O(2n) space), and updates indexes accordingly (see java file).
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What's better, create 2 new strings (O(n) space) and make code more compact, or use just 3 variables and 10 more lines of code? Don't know.
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import unittest
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def levenshtein(s1, s2):
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if abs(len(s1) - len(s2)) > 1:
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return False
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if s1 == s2:
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return True
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len1 = len(s1)
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len2 = len(s2)
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flag = False
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if len1 == len2: # equal lengths
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for i in range(len1):
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if s1[i] != s2[i]:
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if flag:
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return False
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flag = True
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return True
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elif len1 < len2: # s1 shorter than s2
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for i in range(len1):
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if not flag:
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if s1[i] != s2[i]:
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if flag:
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return False
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flag = True
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else: # there's already one difference
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if s1[i] != s2[i + 1]:
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return False
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return True
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elif len2 < len1: # s2 shorter than s1
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for i in range(len2):
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if not flag:
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if s1[i] != s2[i]:
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if flag:
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return False
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flag = True
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else: # there's already one difference
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if s1[i + 1] != s2[i]:
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return False
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return True
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class Test(unittest.TestCase):
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dataT = [("", ""), ("an", "a"), ("a", "an"), ("ane", "ae"),
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("ane", "ne"), ("asdfgh", "asdgh"), ("asdf", "asgf")]
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dataF = [("asdfg", "adfgh"), ("an", "ne"), ("asdf", "as")]
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def test_unique(self):
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for test in self.dataT:
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res = levenshtein(*test)
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self.assertTrue(res)
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for test in self.dataF:
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res = levenshtein(*test)
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self.assertFalse(res)
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return
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if __name__ == "__main__":
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unittest.main()
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