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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
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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 Need lab6.py code please! 

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)) # Requires _bs() for this to work # uses python's default list-search # return self._contains_bs_slow(item) # uses a slow version of binary-search (slicing) # alternative search algorithms: # return self._contains_list(item) Deliverable - __bs() Implement a O(logn) binary search. You'll need to pass left/right indices instead of list slices with each recursive call to do this. Note that TesetLab6.py, included with the starter code, tests the contains method. If you are struggling to debug with the tests provided, try writing your own.
Transcribed Image Text: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)) # Requires _bs() for this to work # uses python's default list-search # return self._contains_bs_slow(item) # uses a slow version of binary-search (slicing) # alternative search algorithms: # return self._contains_list(item) Deliverable - __bs() Implement a O(logn) binary search. You'll need to pass left/right indices instead of list slices with each recursive call to do this. Note that TesetLab6.py, included with the starter code, tests the contains method. If you are struggling to debug with the tests provided, try writing your own.
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