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Add merge insertion sort (#2211)
* Add merge insertion sort * Fix python naming conventions * Add wikipedia link * Add type hint * Fix python to python3 Co-authored-by: Christian Clauss <cclauss@me.com> * Refactor doubled process in if-condition into one outside of if-condition Co-authored-by: Christian Clauss <cclauss@me.com> * Refactor make python3 prior to python Co-authored-by: Christian Clauss <cclauss@me.com> * Fix name of is_surplus into has_last_odd_item * Add comment * Fix long comment to shorten Co-authored-by: Christian Clauss <cclauss@me.com>
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sorts/merge_insertion_sort.py
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sorts/merge_insertion_sort.py
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"""
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This is a pure Python implementation of the merge-insertion sort algorithm
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Source: https://en.wikipedia.org/wiki/Merge-insertion_sort
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For doctests run following command:
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python3 -m doctest -v merge_insertion_sort.py
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or
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python -m doctest -v merge_insertion_sort.py
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For manual testing run:
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python3 merge_insertion_sort.py
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"""
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from typing import List
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def merge_insertion_sort(collection: List[int]) -> List[int]:
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"""Pure implementation of merge-insertion sort algorithm in Python
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:param collection: some mutable ordered collection with heterogeneous
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comparable items inside
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:return: the same collection ordered by ascending
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Examples:
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>>> merge_insertion_sort([0, 5, 3, 2, 2])
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[0, 2, 2, 3, 5]
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>>> merge_insertion_sort([99])
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[99]
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>>> merge_insertion_sort([-2, -5, -45])
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[-45, -5, -2]
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"""
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def binary_search_insertion(sorted_list, item):
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left = 0
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right = len(sorted_list) - 1
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while left <= right:
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middle = (left + right) // 2
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if left == right:
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if sorted_list[middle] < item:
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left = middle + 1
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break
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elif sorted_list[middle] < item:
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left = middle + 1
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else:
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right = middle - 1
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sorted_list.insert(left, item)
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return sorted_list
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def sortlist_2d(list_2d):
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def merge(left, right):
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result = []
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while left and right:
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if left[0][0] < right[0][0]:
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result.append(left.pop(0))
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else:
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result.append(right.pop(0))
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return result + left + right
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length = len(list_2d)
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if length <= 1:
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return list_2d
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middle = length // 2
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return merge(sortlist_2d(list_2d[:middle]), sortlist_2d(list_2d[middle:]))
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if len(collection) <= 1:
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return collection
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"""
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Group the items into two pairs, and leave one element if there is a last odd item.
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Example: [999, 100, 75, 40, 10000]
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-> [999, 100], [75, 40]. Leave 10000.
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"""
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two_paired_list = []
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has_last_odd_item = False
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for i in range(0, len(collection), 2):
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if i == len(collection) - 1:
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has_last_odd_item = True
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else:
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"""
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Sort two-pairs in each groups.
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Example: [999, 100], [75, 40]
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-> [100, 999], [40, 75]
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"""
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if collection[i] < collection[i + 1]:
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two_paired_list.append([collection[i], collection[i + 1]])
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else:
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two_paired_list.append([collection[i + 1], collection[i]])
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"""
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Sort two_paired_list.
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Example: [100, 999], [40, 75]
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-> [40, 75], [100, 999]
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"""
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sorted_list_2d = sortlist_2d(two_paired_list)
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"""
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40 < 100 is sure because it has already been sorted.
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Generate the sorted_list of them so that you can avoid unnecessary comparison.
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Example:
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group0 group1
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40 100
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75 999
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->
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group0 group1
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[40, 100]
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75 999
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"""
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result = [i[0] for i in sorted_list_2d]
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"""
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100 < 999 is sure because it has already been sorted.
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Put 999 in last of the sorted_list so that you can avoid unnecessary comparison.
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Example:
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group0 group1
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[40, 100]
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75 999
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->
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group0 group1
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[40, 100, 999]
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75
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"""
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result.append(sorted_list_2d[-1][1])
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"""
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Insert the last odd item left if there is.
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Example:
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group0 group1
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[40, 100, 999]
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75
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->
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group0 group1
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[40, 100, 999, 10000]
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75
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"""
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if has_last_odd_item:
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pivot = collection[-1]
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result = binary_search_insertion(result, pivot)
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"""
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Insert the remaining items.
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In this case, 40 < 75 is sure because it has already been sorted.
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Therefore, you only need to insert 75 into [100, 999, 10000],
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so that you can avoid unnecessary comparison.
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Example:
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group0 group1
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[40, 100, 999, 10000]
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^ You don't need to compare with this as 40 < 75 is already sure.
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75
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->
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[40, 75, 100, 999, 10000]
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"""
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is_last_odd_item_inserted_before_this_index = False
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for i in range(len(sorted_list_2d) - 1):
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if result[i] == collection[-i]:
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is_last_odd_item_inserted_before_this_index = True
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pivot = sorted_list_2d[i][1]
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# If last_odd_item is inserted before the item's index,
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# you should forward index one more.
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if is_last_odd_item_inserted_before_this_index:
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result = result[: i + 2] + binary_search_insertion(result[i + 2 :], pivot)
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else:
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result = result[: i + 1] + binary_search_insertion(result[i + 1 :], pivot)
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return result
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if __name__ == "__main__":
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user_input = input("Enter numbers separated by a comma:\n").strip()
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unsorted = [int(item) for item in user_input.split(",")]
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print(merge_insertion_sort(unsorted))
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