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Heaps Paper Karla T #43
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Original file line number | Diff line number | Diff line change |
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@@ -1,8 +1,18 @@ | ||
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from heaps.min_heap import MinHeap | ||
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def heap_sort(list): | ||
""" This method uses a heap to sort an array. | ||
Time Complexity: ? | ||
Space Complexity: ? | ||
Time Complexity: O(n) | ||
Space Complexity: O(1) | ||
""" | ||
pass | ||
heap = MinHeap() | ||
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for num in list: | ||
heap.add(num) | ||
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index = 0 | ||
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while not heap.empty(): | ||
list[index] = heap.remove() | ||
index += 1 | ||
return list |
Original file line number | Diff line number | Diff line change | ||||
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@@ -1,5 +1,5 @@ | ||||||
class HeapNode: | ||||||
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def __init__(self, key, value): | ||||||
self.key = key | ||||||
self.value = value | ||||||
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@@ -21,19 +21,29 @@ def __init__(self): | |||||
def add(self, key, value = None): | ||||||
""" This method adds a HeapNode instance to the heap | ||||||
If value == None the new node's value should be set to key | ||||||
Time Complexity: ? | ||||||
Space Complexity: ? | ||||||
Time Complexity: O(log n) | ||||||
Space Complexity: O(log n) | ||||||
""" | ||||||
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There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. 👍 |
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pass | ||||||
if value == None: | ||||||
value = key | ||||||
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node = HeapNode(key, value) | ||||||
self.store.append(node) | ||||||
self.heap_up(len(self.store) -1) | ||||||
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def remove(self): | ||||||
""" This method removes and returns an element from the heap | ||||||
maintaining the heap structure | ||||||
Time Complexity: ? | ||||||
Space Complexity: ? | ||||||
Time Complexity: O(log n) | ||||||
Space Complexity: O(log n) | ||||||
""" | ||||||
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There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. 👍 |
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pass | ||||||
if len(self.store) == 0: | ||||||
return | ||||||
self.swap(0, len(self.store) - 1) | ||||||
min = self.store.pop() | ||||||
self.heap_down(0) | ||||||
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return min.value | ||||||
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def __str__(self): | ||||||
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@@ -49,7 +59,7 @@ def empty(self): | |||||
Time complexity: ? | ||||||
Space complexity: ? | ||||||
""" | ||||||
pass | ||||||
return len(self.store) == 0 | ||||||
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def heap_up(self, index): | ||||||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. 👍 Time/space complexity should be O(log n) |
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@@ -62,16 +72,35 @@ def heap_up(self, index): | |||||
Time complexity: ? | ||||||
Space complexity: ? | ||||||
""" | ||||||
pass | ||||||
if index == 0: | ||||||
return | ||||||
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parent = (index -1) // 2 | ||||||
if self.store[index].key < self.store[parent].key: | ||||||
self.swap(index, parent) | ||||||
self.heap_up(parent) | ||||||
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def heap_down(self, index): | ||||||
""" This helper method takes an index and | ||||||
moves the corresponding element down the heap if it's | ||||||
larger than either of its children and continues until | ||||||
the heap property is reestablished. | ||||||
""" | ||||||
pass | ||||||
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left_child = (2 * index) + 1 | ||||||
right_child = (2 * index) + 2 | ||||||
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if left_child < len(self.store): | ||||||
if right_child < len(self.store): | ||||||
if self.store[left_child.key] < self.store[right_child].key: | ||||||
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Suggested change
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min_child = left_child | ||||||
else: | ||||||
min_child = right_child | ||||||
else: min_child = left_child | ||||||
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if self.store[index].key > self.store[min_child.key]: | ||||||
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Suggested change
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self.swap(index, min_child) | ||||||
self.heap_down(min_child) | ||||||
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def swap(self, index_1, index_2): | ||||||
""" Swaps two elements in self.store | ||||||
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👍 The time complexity is O(n log n) because you're adding n nodes to the heap and each addition takes log n time.
Similarly the space complexity is O(n) because you build a heap of n nodes.