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water - mackenzie #20
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| @@ -1,19 +1,43 @@ | ||
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| # This method will return an array of arrays. | ||
| # Each subarray will have strings which are anagrams of each other | ||
| # Time Complexity: ? | ||
| # Space Complexity: ? | ||
| # Time Complexity: O(nm(log m)) + O(n) (sort_by for each string + length of strings array) | ||
| # Space Complexity: O(n) (hash size increases with input array length, no other data structures made) | ||
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| def grouped_anagrams(strings) | ||
| raise NotImplementedError, "Method hasn't been implemented yet!" | ||
| anagrams = {} | ||
| strings.each do |string| | ||
| abc_string = string.chars.sort_by(&:downcase).join | ||
| if !anagrams[abc_string] | ||
| anagrams[abc_string] = [] | ||
| end | ||
| anagrams[abc_string] << string | ||
| end | ||
| puts anagrams | ||
| return anagrams.values | ||
| end | ||
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| # This method will return the k most common elements | ||
| # in the case of a tie it will select the first occuring element. | ||
| # Time Complexity: ? | ||
| # Space Complexity: ? | ||
| # Time Complexity: O(n) + O(n logn) ( sort is nlogn, list.each is n, map is n) | ||
| # Space Complexity: O(n) (multiple same sized arrays) | ||
| def top_k_frequent_elements(list, k) | ||
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There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. 👍 So the final time complexity is O(n log n) because that's the bigger term. |
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| raise NotImplementedError, "Method hasn't been implemented yet!" | ||
| # raise NotImplementedError, "Method hasn't been implemented yet!" | ||
| return list if list.empty? | ||
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| counted = {} | ||
| list.each do |num| | ||
| if counted[num] | ||
| counted[num] += 1 | ||
| else | ||
| counted[num] = 1 | ||
| end | ||
| end | ||
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| sorted = counted.sort {|a,b| b[1]<=>a[1]} | ||
| keys = sorted.map { |n| n[0] } | ||
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There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Very compact! |
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| return keys.slice(0, k) | ||
| end | ||
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👍 Nice!