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Mac P. #20
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Mac P. #20
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Original file line number | Diff line number | Diff line change |
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@@ -1,8 +1,19 @@ | ||
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from heapq import heappush, heappop | ||
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def heap_sort(list): | ||
""" This method uses a heap to sort an array. | ||
Time Complexity: ? | ||
Space Complexity: ? | ||
""" | ||
pass | ||
heap = [] | ||
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for item in list: | ||
heappush(heap, item) | ||
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ordered = [] | ||
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while len(heap) > 0: | ||
value = heappop(heap) | ||
ordered.append(value) | ||
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return ordered |
Original file line number | Diff line number | Diff line change |
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@@ -1,3 +1,5 @@ | ||
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class HeapNode: | ||
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def __init__(self, key, value): | ||
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@@ -15,25 +17,38 @@ class MinHeap: | |
def __init__(self): | ||
self.store = [] | ||
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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: ? | ||
""" Adds a HeapNode instance to the heap | ||
If value == None the new node's value is set to key | ||
Time Complexity: O(log n) | ||
Space Complexity: O(n) | ||
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. ✨ However space complexity will just be O(log n) here because of the recursive call stack of |
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""" | ||
pass | ||
if value == None: | ||
value = key | ||
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node = HeapNode(key, value) | ||
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self.store.append(node) | ||
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self.heap_up(len(self.store) - 1) | ||
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def remove(self): | ||
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. ✨ However space complexity will be O(log n) because of the recursive call stack of |
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""" This method removes and returns an element from the heap | ||
""" Removes and returns root element from the heap | ||
maintaining the heap structure | ||
Time Complexity: ? | ||
Space Complexity: ? | ||
Time Complexity: O(log n) | ||
Space Complexity: O(1) | ||
""" | ||
pass | ||
if self.empty(): | ||
return None | ||
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self.swap(0, len(self.store) - 1) | ||
min = self.store.pop() | ||
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if not self.empty(): | ||
self.heap_down(0) | ||
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return min.value | ||
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def __str__(self): | ||
""" This method lets you print the heap, when you're testing your app. | ||
""" | ||
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@@ -44,33 +59,51 @@ def __str__(self): | |
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def empty(self): | ||
""" This method returns true if the heap is empty | ||
Time complexity: ? | ||
Space complexity: ? | ||
Time complexity: O(1) | ||
Space complexity: O(1) | ||
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 | ||
return len(self.store) == 0 | ||
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def heap_up(self, index): | ||
""" This helper method takes an index and | ||
moves the corresponding element up the heap, if | ||
it is less than it's parent node until the Heap | ||
""" Moves the element identified by index up the heap | ||
If it is less than it's parent node until the Heap | ||
property is reestablished. | ||
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This could be **very** helpful for the add method. | ||
Time complexity: ? | ||
Space complexity: ? | ||
Time complexity: O(1) | ||
Space complexity: O(n) | ||
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. ✨ However time and space complexity are O(log n) here because of the recursive call. |
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""" | ||
pass | ||
if index == 0: | ||
return | ||
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parent = self.store[(index - 1)//2] | ||
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if self.store[index].key < parent.key: | ||
self.swap(index, (index - 1)//2) | ||
self.heap_up((index - 1)//2) | ||
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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 | ||
""" moves element at corresponding index down the heap if it's | ||
larger than either of its children and continues until | ||
the heap property is reestablished. | ||
""" | ||
pass | ||
left_index = (index * 2) + 1 | ||
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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right_index = (index * 2) + 2 | ||
parent = self.store[index] | ||
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if left_index < len(self.store): | ||
if right_index < len(self.store): | ||
if self.store[left_index].key < self.store[right_index].key: | ||
smaller_child = left_index | ||
else: | ||
smaller_child = right_index | ||
else: | ||
smaller_child = left_index | ||
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if parent.key > self.store[smaller_child].key: | ||
self.swap(index, smaller_child) | ||
self.heap_down(smaller_child) | ||
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def swap(self, index_1, index_2): | ||
""" Swaps two elements in self.store | ||
at index_1 and index_2 | ||
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There was a problem hiding this comment.
Choose a reason for hiding this comment
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✨ Time and space complexity? It would also be great to see you implement
heap_sort
using theMinHeap
you implement below!