Mod 6 Lab - Ordered List ADT with Binary Search The Ordered List ADT is similar to a list, but adds the requirement that items remain sorted: add (item) - adds item to the list. • remove(item) - removes the first occurrence of item from the list. Raise a RuntimeError if the item is not present. • getitem(index) - returns the item with the given index in the sorted list. This is also known as selection. contains (item) - returns True iff there is an item of the list equal to item. iter - returns an iterator over the ordered list that yields the items in sorted order. len - returns the length of the ordered list. . We have provided a working Ordered List in lab6.py . The starter code includes 3 ways of implementing contains : _bs (???) - up to you to implement. Should be O(logn). _contains_list(item) - uses python's built-in list search. O(n). contains_bs_slow(item) - uses a binary search built on slicing. O(n). def _contains_(self, item): return self._bs (item, 0, len(self)) # alternative search algorithms: # return self._contains_list(item) # return self._contains_bs_slow(item) # Requires _bs() for this to work # uses python's default list-search # uses a slow version of binary-search (slicing)

Mod 6 Lab - Ordered List ADT with Binary Search The Ordered List ADT is similar to a list, but adds the requirement that items remain sorted: add (item) - adds item to the list. • remove(item) - removes the first occurrence of item from the list. Raise a RuntimeError if the item is not present. • getitem(index) - returns the item with the given index in the sorted list. This is also known as selection. contains (item) - returns True iff there is an item of the list equal to item. iter - returns an iterator over the ordered list that yields the items in sorted order. len - returns the length of the ordered list. . We have provided a working Ordered List in lab6.py . The starter code includes 3 ways of implementing contains : _bs (???) - up to you to implement. Should be O(logn). _contains_list(item) - uses python's built-in list search. O(n). contains_bs_slow(item) - uses a binary search built on slicing. O(n). def _contains_(self, item): return self._bs (item, 0, len(self)) # alternative search algorithms: # return self._contains_list(item) # return self._contains_bs_slow(item) # Requires _bs() for this to work # uses python's default list-search # uses a slow version of binary-search (slicing)

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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