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Paper - Kaylyn #39
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Paper - Kaylyn #39
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@@ -9,71 +9,150 @@ def __init__(self, value, next_node = None): | |
| # Defines the singly linked list | ||
| class LinkedList: | ||
| def __init__(self): | ||
| self.head = None # keep the head private. Not accessible outside this class | ||
| self.head = None # keep the head private. Not accessible outside this class | ||
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| # returns the value in the first node | ||
| # returns None if the list is empty | ||
| # Time Complexity: ? | ||
| # Space Complexity: ? | ||
| # Time Complexity: O(1) | ||
| # Space Complexity: O(1) | ||
| def get_first(self): | ||
| pass | ||
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| return None if self.head is None else self.head.value | ||
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| # method to add a new node with the specific data value in the linked list | ||
| # insert the new node at the beginning of the linked list | ||
| # Time Complexity: ? | ||
| # Space Complexity: ? | ||
| # Time Complexity: O(1) | ||
| # Space Complexity: O(1) | ||
| def add_first(self, value): | ||
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| pass | ||
| new_node = Node(value, self.head) | ||
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| self.head = new_node | ||
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| return self.head | ||
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| # method to find if the linked list contains a node with specified value | ||
| # returns true if found, false otherwise | ||
| # Time Complexity: ? | ||
| # Space Complexity: ? | ||
| # Time Complexity: O(n) | ||
| # Space Complexity: O(1) | ||
| def search(self, value): | ||
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| pass | ||
| current_node = self.head | ||
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| while current_node: | ||
| if current_node.value == value: | ||
| return True | ||
| current_node = current_node.next | ||
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| return False | ||
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| # method that returns the length of the singly linked list | ||
| # Time Complexity: ? | ||
| # Space Complexity: ? | ||
| # Time Complexity: O(n) | ||
| # Space Complexity: O(1) | ||
| def length(self): | ||
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| pass | ||
| current_node = self.head | ||
| length = 0 | ||
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| while current_node: | ||
| length += 1 | ||
| current_node = current_node.next | ||
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| return length | ||
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| # method that returns the value at a given index in the linked list | ||
| # index count starts at 0 | ||
| # returns None if there are fewer nodes in the linked list than the index value | ||
| # Time Complexity: ? | ||
| # Space Complexity: ? | ||
| # Time Complexity: O(n) | ||
| # Space Complexity: O(1) | ||
| def get_at_index(self, index): | ||
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| pass | ||
| if self.head is None: | ||
| return None | ||
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| current_node = self.head | ||
| i = 0 | ||
| while i < index and current_node: | ||
| current_node = current_node.next | ||
| i+=1 | ||
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| return current_node.value | ||
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| # method that returns the value of the last node in the linked list | ||
| # returns None if the linked list is empty | ||
| # Time Complexity: ? | ||
| # Space Complexity: ? | ||
| # Time Complexity: O(n) | ||
| # Space Complexity: O(1) | ||
| def get_last(self): | ||
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| pass | ||
| if self.head is None: | ||
| return None | ||
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| current = self.head | ||
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| while current: | ||
| if current.next is None: | ||
| return current.value | ||
| else: | ||
| current = current.next | ||
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| # method that inserts a given value as a new last node in the linked list | ||
| # Time Complexity: ? | ||
| # Space Complexity: ? | ||
| # Time Complexity: O(n) | ||
| # Space Complexity: O(1) | ||
| def add_last(self, value): | ||
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| pass | ||
| new_node = Node(value) | ||
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| if self.head is None: | ||
| self.head = new_node | ||
| return | ||
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| last_node = self.head | ||
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| while last_node.next: | ||
| last_node = last_node.next | ||
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| last_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 | ||
| # Time Complexity: O(n) | ||
| # Space Complexity: O(1) | ||
| def find_max(self): | ||
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| pass | ||
| if self.head is None: | ||
| return None | ||
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| current = self.head | ||
| max = self.head.value | ||
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| while current.next: | ||
| if current.next.value > max: | ||
| max = current.next.value | ||
| current = current.next | ||
| else: | ||
| current = current.next | ||
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| return max | ||
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| # method to delete the first node found with specified value | ||
| # Time Complexity: ? | ||
| # Space Complexity: ? | ||
| # Time Complexity: O(n) | ||
| # Space Complexity: O(1) | ||
| def delete(self, value): | ||
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| pass | ||
| if self.head is None: | ||
| return None | ||
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| current = self.head | ||
| if current.value == value: | ||
| self.head = current.next | ||
| return | ||
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| while current: | ||
| if current.value == value: | ||
| current = current.next | ||
| return | ||
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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. This doesn't look right |
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| prev = current | ||
| current = current.next | ||
| if current.value == value: | ||
| prev.next = current.next | ||
| return | ||
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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. This looks right, but I think the prior |
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| # method to print all the values in the linked list | ||
| # Time Complexity: ? | ||
| # Space Complexity: ? | ||
| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def visit(self): | ||
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| helper_list = [] | ||
| current = self.head | ||
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@@ -86,17 +165,34 @@ def visit(self): | |
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| # method to reverse the singly linked list | ||
| # note: the nodes should be moved and not just the values in the nodes | ||
| # Time Complexity: ? | ||
| # Space Complexity: ? | ||
| # Time Complexity: O(n) | ||
| # Space Complexity: O(1) | ||
| def reverse(self): | ||
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| pass | ||
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| prev = None | ||
| current = self.head | ||
| next = None | ||
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| while current: | ||
| next = current.next | ||
| current.next = prev | ||
| prev = current | ||
| current = next | ||
| self.head = prev | ||
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| ## Advanced/ Exercises | ||
| # returns the value at the middle element in the singly linked list | ||
| # Time Complexity: ? | ||
| # Space Complexity: ? | ||
| # Time Complexity: O(n) | ||
| # Space Complexity: O(1) | ||
| def find_middle_value(self): | ||
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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. 👍 Nice! |
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| pass | ||
| slow = self.head | ||
| fast = self.head | ||
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| while fast and fast.next: | ||
| slow = slow.next | ||
| fast = fast.next.next | ||
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| return slow.value | ||
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| # find the nth node from the end and return its value | ||
| # assume indexing starts at 0 while counting to n | ||
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