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Nice work Beatrice, this is well done.
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| # Time Complexity: O(n) where n is number of strings | ||
| # O(n) to build strings_map, O(n) to build reverse_map, O(n) to build answer_array | ||
| # Space Complexity: O(n) where n is number of strings | ||
| # While there is a large amount of data structures, they scale linearly | ||
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| def grouped_anagrams(strings) |
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| # Time Complexity: O(n log n) - O(n) to build map, O(n) to reverse, | ||
| # O(n log n) to sort, O(n) to find answer where n is amount of numbers | ||
| # Space Complexity: O(n) - Similarly to last time, there's a decent overhead but it scales linearly | ||
| def top_k_frequent_elements(list, k) |
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👍 Nice work, correct on time/space complexity as well.
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