def k_sorted_array(arr, k):
""" Method sorts a k-sorted array.
A k-sorted array is an array where each element is at most k positions away
of it's final sorted position.
This solution piggybacks on the heapsort algorithm
Complexity: O(nlogk) in time
Args:
arr: list, of values to sort.
k: int, the max distance any element can be from it's final sorted position.
Returns:
list, sorted array
"""
n = len(arr)
if n < k:
k = n
heap = Heap.heapify(arr[:k])
out = []
for i in range(k, n):
min_value = heap.extract_min_and_insert(arr[i])
out.append(min_value)
for i in range(k):
min_value = heap.extract_min()
out.append(min_value)
return out
def test_heap_length(self):
data = [1, 2, 3, 114, 5, 6, 7, 8, 9, 10]
h = Heap.heapify(data)
self.assertEqual(len(h), len(data), 'should be the same length')
def test_heap_length(self):
data = [1,2,3,114,5,6,7,8,9,10]
h = Heap.heapify(data)
self.assertEqual(len(h), len(data), 'should be the same length')
def test_static_heapify(self):
data = [8, 2, 6, 3, 1, 2, 9, 5, 3, 7, 4]
h = Heap.heapify(data)
self.assertTrue(Heap.is_heap(data), 'should preserve heap property')
def test_static_heapify(self):
data = [8,2,6,3,1,2,9,5,3,7,4]
h = Heap.heapify(data)
self.assertTrue(Heap.is_heap(data), 'should preserve heap property')
