Python Program For Partitioning A Linked List Around A Given Value And Keeping The Original Order
Given a linked list and a value x, partition it such that all nodes less than x come first, then all nodes with a value equal to x, and finally nodes with a value greater than or equal to x. The original relative order of the nodes in each of the three partitions should be preserved. The partition must work in place.
Examples:
Input: 1->4->3->2->5->2->3, x = 3 Output: 1->2->2->3->3->4->5 Input: 1->4->2->10 x = 3 Output: 1->2->4->10 Input: 10->4->20->10->3 x = 3 Output: 3->10->4->20->10
To solve this problem we can use partition method of Quick Sort but this would not preserve the original relative order of the nodes in each of the two partitions.
Below is the algorithm to solve this problem :
- Initialize first and last nodes of below three linked lists as NULL.
- Linked list of values smaller than x.
- Linked list of values equal to x.
- Linked list of values greater than x.
- Now iterate through the original linked list. If a node’s value is less than x then append it at the end of the smaller list. If the value is equal to x, then at the end of the equal list. And if a value is greater, then at the end of the greater list.
- Now concatenate three lists.
Below is the implementation of the above idea.
Python3
# Python3 program to partition a # linked list around a given value. # Link list Node class Node: def __init__( self ): self .data = 0 self . next = None # A utility function to create # a new node def newNode(data): new_node = Node() new_node.data = data new_node. next = None return new_node # Function to make two separate lists # and return head after concatenating def partition( head, x) : # Let us initialize first and last # nodes of three linked lists # 1) Linked list of values smaller # than x. # 2) Linked list of values equal # to x. # 3) Linked list of values greater # than x. smallerHead = None smallerLast = None greaterLast = None greaterHead = None equalHead = None equalLast = None # Now iterate original list and connect # nodes of appropriate linked lists. while (head ! = None ) : # If current node is equal to x, # append it to the list of x values if (head.data = = x): if (equalHead = = None ): equalHead = equalLast = head else : equalLast. next = head equalLast = equalLast. next # If current node is less than X, # append it to the list of smaller # values elif (head.data < x): if (smallerHead = = None ): smallerLast = smallerHead = head else : smallerLast. next = head smallerLast = head else : # Append to the list of greater values if (greaterHead = = None ) : greaterLast = greaterHead = head else : greaterLast. next = head greaterLast = head head = head. next # Fix end of greater linked list to None # if this list has some nodes if (greaterLast ! = None ) : greaterLast. next = None # Connect three lists # If smaller list is empty if (smallerHead = = None ) : if (equalHead = = None ) : return greaterHead equalLast. next = greaterHead return equalHead # If smaller list is not empty # and equal list is empty if (equalHead = = None ) : smallerLast. next = greaterHead return smallerHead # If both smaller and equal list # are non-empty smallerLast. next = equalHead equalLast. next = greaterHead return smallerHead # Function to print linked list def printList(head) : temp = head while (temp ! = None ): print (temp.data ,end = " " ) temp = temp. next # Driver code # Start with the empty list head = newNode( 10 ) head. next = newNode( 4 ) head. next . next = newNode( 5 ) head. next . next . next = newNode( 30 ) head. next . next . next . next = newNode( 2 ) head. next . next . next . next . next = newNode( 50 ) x = 3 head = partition(head, x) printList(head) # This code is contributed by Arnab Kundu. |
Output:
2 10 4 5 30 50
Time Complexity: O(n) where n is the size of the given linked list.
Auxiliary Space: O(1), no extra space is required, so it is a constant.
Please refer complete article on Partitioning a linked list around a given value and keeping the original order for more details!
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