Earth - Emily #31
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Earth - Emily #31
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CheezItMan
reviewed
Nov 4, 2020
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| # Time complexity: O(n), where n is the length | ||
| # Space complexity: O(n), uses up some space in the call stack until it reaches the base case | ||
| def factorial(n) |
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| # Time complexity: O(n^2) | ||
| # Space complexity: O(n^2) | ||
| def reverse(s) |
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| # Time complexity: O(n) | ||
| # Space complexity: O(n) | ||
| def reverse_inplace(s) |
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| # Time complexity: O(n) | ||
| # Space complexity: O(n) | ||
| def bunny(n) |
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| # Time complexity: O(n^2) | ||
| # Space complexity: O(n^2) | ||
| def nested(s) |
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👍 However can you see a way, like with reverse_inplace to do it with O(n) time/space complexity?
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| # Time complexity: O(n^2) | ||
| # Space complexity: O(n^2) | ||
| def search(array, value) |
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👍 However can you see a way, like with reverse_inplace to do it with O(n) time/space complexity?
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| # Time complexity: O(n^2) | ||
| # Space complexity: O(n^2) | ||
| def is_palindrome(s) |
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👍 However can you see a way, like with reverse_inplace to do it with O(n) time/space complexity?
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| # Time complexity: O(n^2)? | ||
| # Space complexity: O(n^2)? | ||
| def digit_match(n, m) |
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👍 However can you see a way, like with reverse_inplace to do it with O(n) time/space complexity?
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