We are given a list of pattern strings and a single input string. We need to find all possible close good enough matches of input string into list of pattern strings.
Input : patterns = ['ape', 'apple', 'peach', 'puppy'], input = 'appel' Output : ['apple', 'ape']
We can solve this problem in python quickly using in built function difflib.get_close_matches().
How does difflib.get_close_matches() function work in Python ?
difflib.get_close_matches(word, possibilities, n, cutoff) accepts four parameters in which n, cutoff are optional. word is a sequence for which close matches are desired, possibilities is a list of sequences against which to match word. Optional argument n (default 3) is the maximum number of close matches to return, n must be greater than 0. Optional argument cutoff (default 0.6) is a float in the range [0, 1]. Possibilities that don’t score at least that similar to word are ignored.
The best (no more than n) matches among the possibilities are returned in a list, sorted by similarity score, most similar first.
References : https://docs.python.org/2/library/difflib.html
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