Scissors - Aida R. #54
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CheezItMan
reviewed
Jan 28, 2022
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| def grouped_anagrams(strings): | ||
| """ 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(n) | ||
| Space Complexity: O(n) | ||
| """ |
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👍 , Time/space are correct if the words are limited in length (like English words) Otherwise it would be O(n * m log m) where m is the length of each word.
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| def top_k_frequent_elements(nums, k): | ||
| """ 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: ? | ||
| Space Complexity: O(n) | ||
| """ |
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👍 Because of the loop in lines 40-43, the time complexity is O(nk) because you have a loop going k times and each time finding the max element from the frequency map.
| highest_value = max(freq_map, key=freq_map.get) | ||
| result.append(highest_value) | ||
| freq_map.pop(highest_value) | ||
| return result | ||
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| def valid_sudoku(table): |
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board dictionary is not reset when checking the columns or subgrids.
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