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tarter Code: def find_zero(L): pass   def bubble(L, left, right): pass   def selection(L, left, right): pass   def insertion(L, left, right): pass   def sort_halfsorted(L, sort): '''Efficiently sorts a list comprising a series of negative items, a single 0, and a series of positive items   Input ----- * L:list a half sorted list, e.g. [-2, -1, -3, 0, 4, 3, 7, 9, 14] <---neg---> <----pos----->   * sort: func(L:list, left:int, right:int) a function that sorts the sublist L[left:right] in-place note that we use python convention here: L[left:right] includes left but not right   Output ------ * None this algorithm sorts `L` in-place, so it does not need a return statement   Examples -------- >>> L = [-1, -2, -3, 0, 3, 2, 1] >>> sort_halfsorted(L, bubble) >>> print(L) [-3, -2, -1, 0, 1, 2, 3] '''   idx_zero = find_zero(L) # find the 0 index sort(L, 0, idx_zero) # sort left half sort(L, idx_zero+1, len(L)) # sort right half

tarter Code: def find_zero(L): pass   def bubble(L, left, right): pass   def selection(L, left, right): pass   def insertion(L, left, right): pass   def sort_halfsorted(L, sort): '''Efficiently sorts a list comprising a series of negative items, a single 0, and a series of positive items   Input ----- * L:list a half sorted list, e.g. [-2, -1, -3, 0, 4, 3, 7, 9, 14] <---neg---> <----pos----->   * sort: func(L:list, left:int, right:int) a function that sorts the sublist L[left:right] in-place note that we use python convention here: L[left:right] includes left but not right   Output ------ * None this algorithm sorts `L` in-place, so it does not need a return statement   Examples -------- >>> L = [-1, -2, -3, 0, 3, 2, 1] >>> sort_halfsorted(L, bubble) >>> print(L) [-3, -2, -1, 0, 1, 2, 3] '''   idx_zero = find_zero(L) # find the 0 index sort(L, 0, idx_zero) # sort left half sort(L, idx_zero+1, len(L)) # sort right half

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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Starter Code:

def find_zero(L): pass

 

def bubble(L, left, right): pass

 

def selection(L, left, right): pass

 

def insertion(L, left, right): pass

 

def sort_halfsorted(L, sort):

'''Efficiently sorts a list comprising a series of negative items, a single 0, and a series of positive items

 

Input

-----

* L:list

a half sorted list, e.g. [-2, -1, -3, 0, 4, 3, 7, 9, 14]

<---neg---> <----pos----->

 

* sort: func(L:list, left:int, right:int)

a function that sorts the sublist L[left:right] in-place

note that we use python convention here: L[left:right] includes left but not right

 

Output

------

* None

this algorithm sorts `L` in-place, so it does not need a return statement

 

Examples

--------

>>> L = [-1, -2, -3, 0, 3, 2, 1]

>>> sort_halfsorted(L, bubble)

>>> print(L)

[-3, -2, -1, 0, 1, 2, 3]

'''

 

idx_zero = find_zero(L) # find the 0 index

sort(L, 0, idx_zero) # sort left half

sort(L, idx_zero+1, len(L)) # sort right half

Mod 6 Homework - Quadratic Sorts We will use "half sorted" to describe a list consisting of a series of negative integers, followed by a 0, followed by a series of positive integers: [-2, -3, -1, 0, 3, 1, 2] <--neg---> <--pos--> "value 1 I 1 |* V idx We have provided an algorithm sort_halfsorted() that efficiently sorts such a list: def sort_halfsorted (L, sort): idx_zero find_zero (L) # find the 0 index sort (L, 0, idx_zero) # sort left half sort (L, idx_zero+1, len (L)) # sort right half It is up to you to implement the following algorithms such that sort_halfsorted works as expected: • find_zero (L) - return the index of the 0 in such a list in O(log(n)) • bubble (L, left, right), selection (...), and insertion (...) sort the sub-list L[left:right] using the appropriate sorting algorithm sort the list in-place (do not return anything) bubble and insertion should be adaptive (O(n) in the best case) Follow Python convention - L[left:right] includes L[left] but not L[right]
Transcribed Image Text:Mod 6 Homework - Quadratic Sorts We will use "half sorted" to describe a list consisting of a series of negative integers, followed by a 0, followed by a series of positive integers: [-2, -3, -1, 0, 3, 1, 2] <--neg---> <--pos--> "value 1 I 1 |* V idx We have provided an algorithm sort_halfsorted() that efficiently sorts such a list: def sort_halfsorted (L, sort): idx_zero find_zero (L) # find the 0 index sort (L, 0, idx_zero) # sort left half sort (L, idx_zero+1, len (L)) # sort right half It is up to you to implement the following algorithms such that sort_halfsorted works as expected: • find_zero (L) - return the index of the 0 in such a list in O(log(n)) • bubble (L, left, right), selection (...), and insertion (...) sort the sub-list L[left:right] using the appropriate sorting algorithm sort the list in-place (do not return anything) bubble and insertion should be adaptive (O(n) in the best case) Follow Python convention - L[left:right] includes L[left] but not L[right]
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