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Monica Cruz - Maple C16 #12
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✨🍵🧋 Nice work Monica! Really not sure what happened to my initial review, but it does look like you hit the learning goals. I left a couple comments about code style and opportunities for refactoring you can review below. Let me know what questions you have.
🟢
# Time Complexity: ? | ||
# Space Complexity: ? | ||
# Time Complexity: O(1) | ||
# Space Complexity: O(1) | ||
def get_first(self): |
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✨
# Time Complexity: ? | ||
# Space Complexity: ? | ||
# Time Complexity: O(1) | ||
# Space Complexity: O(1) | ||
def add_first(self, value): |
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✨
# Time Complexity: ? | ||
# Space Complexity: ? | ||
# Time Complexity: O(n) | ||
# Space Complexity: O(1) | ||
def search(self, value): |
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✨
# Time Complexity: ? | ||
# Space Complexity: ? | ||
# Time Complexity: O(n) | ||
# Space Complexity: O(1) | ||
def length(self): |
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✨
# Time Complexity: ? | ||
# Space Complexity: ? | ||
# Time Complexity: O(n) | ||
# Space Complexity: O(1) | ||
def get_at_index(self, index): |
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✨
# Time Complexity: ? | ||
# Space Complexity: ? | ||
# Time Complexity: O(n) | ||
# Space Complexity: O(1) | ||
def add_last(self, value): |
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✨
while current_node.next: | ||
if current_node.value > max_value: | ||
max_value = current_node.value | ||
current_node = current_node.next | ||
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if current_node.value > max_value: | ||
max_value = current_node.value |
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while current_node.next: | |
if current_node.value > max_value: | |
max_value = current_node.value | |
current_node = current_node.next | |
if current_node.value > max_value: | |
max_value = current_node.value | |
while current_node: | |
if current_node.value > max_value: | |
max_value = current_node.value | |
current_node = current_node.next | |
current_node = current_node.next | ||
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# When last node is found, I want to append new_node to it. | ||
current_node.next = new_node | ||
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# method to return the max value in the linked list | ||
# returns the data value and not the node | ||
def find_max(self): |
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✨ See code style suggestion below!
# Time Complexity: ? | ||
# Space Complexity: ? | ||
# Time Complexity: O(n) | ||
# Space Complexity: O(1) | ||
def delete(self, value): |
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✨
# Time Complexity: ? | ||
# Space Complexity: ? | ||
# Time Complexity: O(n) | ||
# Space Complexity: O(n) | ||
def reverse(self): |
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✨ Very creative solution! If you wanted to refactor, think about how you might be able to do this with just one traversal of the list (one while loop). Hint: Pointers will play a big part!
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