![]() In that order as the most approximate possible results. So a fuzzy search for coat would give us the search results of: The word intercostal had two characters inserted at the end and five characters inserted at the start, so the operations necessary were of seven characters at two different locations. The word costume had three characters inserted at the end so the operations necessary to surface this result was of three characters at the end. ![]() In our search example, also the word intercostal was surfaced and the word costume as well. So in the example of substituting an a for an s to surface cost from a search for coat, the operations necessary to surface that result was of one, a simple substitute of one character. This closeness is measured and depending on how many elementary operations it needed to get to this result, it knows how close each result is to our original lookup. ![]() And searching for coat will find cost by substituting the a for an s.If searching for coat it will find cot by deleting an a. ![]()
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