Space - Cathy #14
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CheezItMan
reviewed
Sep 15, 2020
lib/exercises.rb
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| # Time Complexity: O(n^2) where n is the number of strings? || O(n) where n is the total number of characters? | ||
| # Space Complexity: O(n) where a new hash is storing the n # of strings | ||
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| def grouped_anagrams(strings) |
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👍 But your time complexity is O(n) since you're only looping through the words once.
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| # Time Complexity: O(nlogn) since I'm calling a sort_by enumerable | ||
| # Space Complexity: O(n) | ||
| def top_k_frequent_elements(list, k) |
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Nice work, good job looking up what max_by does. Well done.
lib/exercises.rb
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| # Reference: https://www.tutorialspoint.com/valid-sudoku-in-python | ||
| # Time Complexity: O(n^2) where n is the length of the input table and since table is a 2d array | ||
| # Space Complexity: O(1) where the extra hashes are constant tracking 1~9 | ||
| def valid_sudoku(table) |
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👍 Actually since a Sudoku board is always 9x9, scaling never changes so it's O(1) instead of O(n^2)
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| # Thought I could use a hash function to solve grouped_anagrams, but realized the sum/math would cause incorrect results | ||
| # def grouped_anagrams(strings) |
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Hash Table Practice
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Comprehension Questions