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pythonalgorithmdata-structurestime-complexitydeque

Time complexity: deleting element of deque


What is the time complexity of deleting an element of collections.deque?

E.g.:

deq = collections.deque([1, 2, 3])
del deq[1]

Solution

  • Summary

    The time complexity is O(n) where n is the distance to the nearest endpoint. The total size of the deque does not matter.

    Reason Why

    The implementation of deque is a doubly-linked list of fixed length blocks. Deletion of an element requires individually moving all of the elements between the deleted point and the nearest endpoint.

    Illustration

    Consider the following example:

    >>> d = deque('abcdefghijklmnop')
    >>> del d[3]
    

    For illustration purposes, assume a block size of three (the actual block size is 64) for the following data layout:

    ab  ⇄  cde  ⇄  fgh  ⇄  ijk  ⇄  lmn  ⇄  op     # State before deletion
            ×                                     # Step 1, delete "d"
    ab  ⇄  c-e  ⇄  fgh  ⇄  ijk  ⇄  lmn  ⇄  op     
           →                                      # Step 2, move "c" to right 
    ab  ⇄  -ce  ⇄  fgh  ⇄  ijk  ⇄  lmn  ⇄  op  
     →                                            # Step 3, move "b" to right
    a-  ⇄  bce  ⇄  fgh  ⇄  ijk  ⇄  lmn  ⇄  op  
    →                                             # Step 4, move "a" to right
     a  ⇄  bce  ⇄  fgh  ⇄  ijk  ⇄  lmn  ⇄  op     # Final state after deletion     
    

    As you can see, the data elements between the deleted element and the end-point all have to move over by one to the right.

    If "k" were being deleted, the elements "lmnop" would all move one the the left. The algorithm is smart enough to work towards the closest end point.