Added Median of Medians Algorithm#9864
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chriso345 merged 5 commits intoTheAlgorithms:masterfrom Oct 8, 2023
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chriso345
requested changes
Oct 5, 2023
searches/median_of_medians.py
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| """ | ||
| >>> quick_select([2, 4, 5, 7, 899, 54, 32], 5) | ||
| 32 | ||
| >>> quick_select([2, 4, 5, 7, 899, 54, 32], 1) | ||
| 2 | ||
| >>> quick_select([5, 4, 3, 2], 2) | ||
| 3 | ||
| >>> quick_select([3, 5, 7, 10, 2, 12], 3) | ||
| 5 | ||
| """ |
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Suggested change
| """ | |
| >>> quick_select([2, 4, 5, 7, 899, 54, 32], 5) | |
| 32 | |
| >>> quick_select([2, 4, 5, 7, 899, 54, 32], 1) | |
| 2 | |
| >>> quick_select([5, 4, 3, 2], 2) | |
| 3 | |
| >>> quick_select([3, 5, 7, 10, 2, 12], 3) | |
| 5 | |
| """ |
There is no point in repeating the same tests here.
searches/median_of_medians.py
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| """ | ||
| >>> median_of_five([2, 4, 5, 7, 899]) | ||
| 5 | ||
| >>> median_of_five([5, 7, 899, 54, 32]) | ||
| 32 | ||
| >>> median_of_five([5, 4, 3, 2]) | ||
| 3 | ||
| >>> median_of_five([3, 5, 7, 10, 2]) | ||
| 5 | ||
| """ | ||
| """ | ||
| Return the median of the input list | ||
| :param arr: Array to find median of | ||
| :return: median of arr | ||
| """ |
Collaborator
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Can you swap the order of the tests and explanation, and condense into a single docstring
searches/median_of_medians.py
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| """ | ||
| >>> median_of_medians([2, 4, 5, 7, 899, 54, 32]) | ||
| 54 | ||
| >>> median_of_medians([5, 7, 899, 54, 32]) | ||
| 32 | ||
| >>> median_of_medians([5, 4, 3, 2]) | ||
| 4 | ||
| >>> median_of_medians([3, 5, 7, 10, 2, 12]) | ||
| 12 | ||
| """ | ||
| """ | ||
| Return a pivot to partition data on by calculating | ||
| Median of medians of input data | ||
| :param arr: The data to be checked (a list) | ||
| :return: median of medians of input array | ||
| """ |
Collaborator
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Can you swap the order of the tests and explanation, and condense into a single docstring
searches/median_of_medians.py
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| """ | ||
| >>> quick_select([2, 4, 5, 7, 899, 54, 32], 5) | ||
| 32 | ||
| >>> quick_select([2, 4, 5, 7, 899, 54, 32], 1) | ||
| 2 | ||
| >>> quick_select([5, 4, 3, 2], 2) | ||
| 3 | ||
| >>> quick_select([3, 5, 7, 10, 2, 12], 3) | ||
| 5 | ||
| """ | ||
|
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| """ | ||
| Two way partition the data into smaller and greater lists, | ||
| in relationship to the pivot | ||
| :param arr: The data to be searched (a list) | ||
| :param target: The rank to be searched | ||
| :return: element at rank target | ||
| """ |
Collaborator
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Can you swap the order of the tests and explanation, and condense into a single docstring
chriso345
reviewed
Oct 5, 2023
searches/median_of_medians.py
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| >>> median_of_five([5, 4, 3, 2]) | ||
| 3 |
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This test is failing:
>>> median_of_five([5, 4, 3, 2])
Expected:
3
Got:
4
chriso345
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Oct 8, 2023
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Describe your change:
Added an Algorithm: Added Median of medians algorithm to find element at rank k in time complexity O(n)
Checklist: