Leah - Water #48
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Leah - Water #48
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CheezItMan
reviewed
Sep 23, 2020
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| # Time complexity: O(n) | ||
| # Space complexity: O(1) | ||
| def length(array) |
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| # Time complexity: O(n) | ||
| # Space complexity: O(n) | ||
| def print_array(array) |
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👍 , this mostly makes a copy of the list instead, but you are correct in time/space complexity.
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| # Time complexity: O(n) | ||
| # Space complexity: O(1) | ||
| def search(array, length, value_to_find) |
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| # Time complexity: O(n) | ||
| # Space complexity: O(1) | ||
| def find_largest(array, length) |
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| # Time complexity: O(n) | ||
| # Space complexity: O(1) | ||
| def find_smallest(array, length) |
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| # Time complexity: O(n) | ||
| # Space complexity: O(1) | ||
| def reverse(array, length) |
| raise NotImplementedError | ||
| i = 0 | ||
| while i < (length/2) | ||
| pp i |
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Debugging statement not needed in the submission.
Suggested change
| pp i |
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| # Time complexity: O(log n) | ||
| # Space complexity: O(1) | ||
| def binary_search(array, length, value_to_find) |
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Sorry this is late -- I think I finally grasped the algorithmic efficiency after another read through, so I was just able to complete both parts now.