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fixed heap_sort
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@ -1,4 +1,4 @@
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"""
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'''
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This is a pure python implementation of the heap sort algorithm.
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This is a pure python implementation of the heap sort algorithm.
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For doctests run following command:
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For doctests run following command:
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@ -8,9 +8,9 @@ python3 -m doctest -v heap_sort.py
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For manual testing run:
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For manual testing run:
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python insertion_sort.py
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python insertion_sort.py
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"""
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'''
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from __future__ import print_function
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from __future__ import print_function
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def heapify(unsorted, index, heap_size):
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def heapify(unsorted, index, heap_size):
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largest = index
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largest = index
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@ -27,7 +27,8 @@ def heapify(unsorted,index,heap_size):
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heapify(unsorted, largest, heap_size)
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heapify(unsorted, largest, heap_size)
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def heap_sort(unsorted):
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def heap_sort(unsorted):
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"""Pure implementation of the heap sort algorithm in Python
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'''
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Pure implementation of the heap sort algorithm in Python
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:param collection: some mutable ordered collection with heterogeneous
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:param collection: some mutable ordered collection with heterogeneous
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comparable items inside
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comparable items inside
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:return: the same collection ordered by ascending
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:return: the same collection ordered by ascending
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@ -41,16 +42,15 @@ def heap_sort(unsorted):
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>>> heap_sort([-2, -5, -45])
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>>> heap_sort([-2, -5, -45])
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[-45, -5, -2]
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[-45, -5, -2]
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"""
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'''
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n = len(unsorted)
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n = len(unsorted)
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for i in range (n/2 - 1 , -1, -1):
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for i in range(n//2 - 1, -1, -1):
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heapify(unsorted, i, n)
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heapify(unsorted, i, n)
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for i in range(n - 1, -1, -1):
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for i in range(n - 1, -1, -1):
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unsorted[0], unsorted[i] = unsorted[i], unsorted[0]
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unsorted[0], unsorted[i] = unsorted[i], unsorted[0]
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heapify(unsorted, 0, i)
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heapify(unsorted, 0, i)
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return unsorted
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return unsorted
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if __name__ == '__main__':
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if __name__ == '__main__':
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import sys
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import sys
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if sys.version_info.major < 3:
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if sys.version_info.major < 3:
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