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Dec 6, 2023
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9/21/23, 3:21 PM
Lab9 (9)(1)
localhost:8891/lab/tree/C%3A%5CUsers%5Clandy%5COneDrive%5CDesktop%5CC Engr 1/Lab9 (9)(1).ipynb
1/13
Laboratory 9: Count Controlled Repetition
Full name: Landyn Ramos
R#: 11920651
Title of the notebook: Loops, Looops, Loooooops
Date:
Program flow control (Loops)
Controlled repetition
In [ ]:
# Preamble script block to identify host, user, and kernel
import
sys
!
hostname
!
whoami
print
(
sys
.
executable
)
print
(
sys
.
version
)
print
(
sys
.
version_info
)
9/21/23, 3:21 PM
Lab9 (9)(1)
localhost:8891/lab/tree/C%3A%5CUsers%5Clandy%5COneDrive%5CDesktop%5CC Engr 1/Lab9 (9)(1).ipynb
2/13
Structured FOR Loop
Structured WHILE Loop
Count controlled repetition
Count-controlled repetition is also called definite repetition because the number of repetitions
is known before the loop begins executing. When we do not know in advance the number of
times we want to execute a statement, we cannot use count-controlled repetition. In such an
instance, we would use sentinel-controlled repetition.
A count-controlled repetition will exit after running a certain number of times. The count is kept
in a variable called an index or counter. When the index reaches a certain value (the loop
bound) the loop will end.
Count-controlled repetition requires
control variable (or loop counter)
initial value of the control variable
increment (or decrement) by which the control variable is modified each iteration through
the loop
condition that tests for the final value of the control variable
We can use both
for
and
while
loops, for count controlled repetition, but the
for
loop in
combination with the
range()
function is more common.
9/21/23, 3:21 PM
Lab9 (9)(1)
localhost:8891/lab/tree/C%3A%5CUsers%5Clandy%5COneDrive%5CDesktop%5CC Engr 1/Lab9 (9)(1).ipynb
3/13
Structured
FOR
loop
We have seen the for loop already, but we will formally introduce it here. The
for
loop
executes a block of code repeatedly until the condition in the
for
statement is no longer true.
Looping through an iterable
An iterable is anything that can be looped over - typically a list, string, or tuple. The syntax for
looping through an iterable is illustrated by an example.
First a generic syntax
for a in iterable:
print(a)
Notice the colon
:
and the indentation. Now a specific example:
Example: A Loop to Begin With!
Make a list with "Walter", "Jesse", "Gus, "Hank". Then, write a loop that prints all the elements of
your lisk.
Walter
Jesse
Gus
Hank
The
range()
function to create an iterable
The
range(begin,end,increment)
function will create an iterable starting at a value of
begin, in steps defined by increment (
begin += increment
), ending at
end
.
So a generic syntax becomes
for a in range(begin,end,increment):
print(a)
The example that follows is count-controlled repetition (increment skip if greater)
In [1]:
# set a list
BB
=
[
"Walter"
,
"Jesse"
,
"Gus"
,
"Hank"
]
# loop thru the list
for
AllStrings
in
BB
:
print
(
AllStrings
)
9/21/23, 3:21 PM
Lab9 (9)(1)
localhost:8891/lab/tree/C%3A%5CUsers%5Clandy%5COneDrive%5CDesktop%5CC Engr 1/Lab9 (9)(1).ipynb
4/13
Walter
Jesse
Gus
Hank
Example: That's odd!
Write a loop to print all the odd numbers between 0 and 10.
1
3
5
7
9
Nested Repetition | Loops within Loops
In [4]:
# set a list
BB
=
[
"Walter"
,
"Jesse"
,
"Gus"
,
"Hank"
]
# loop thru the list
for
i
in
range
(
0
,
4
,
1
):
# Change the numbers, what happens?
print
(
BB
[
i
])
In [5]:
# For loop with range
for
x
in
range
(
1
,
10
,
2
):
# a sequence from 2 to 5 with steps of 1
print
(
x
)
9/21/23, 3:21 PM
Lab9 (9)(1)
localhost:8891/lab/tree/C%3A%5CUsers%5Clandy%5COneDrive%5CDesktop%5CC Engr 1/Lab9 (9)(1).ipynb
5/13
Round like a circle in a spiral, like a wheel within a wheel
Never ending or beginning on an ever spinning reel
Like a snowball down a mountain, or a carnival balloon
Like a carousel that's turning running rings around the moon
Like a clock whose hands are sweeping past the minutes of its face
And the world is like an apple whirling silently in space
Like the circles that you find in the windmills of your mind!
Windmills of Your Mind lyrics © Sony/ATV Music Publishing LLC, BMG Rights
Management
Songwriters: Marilyn Bergman / Michel Legrand / Alan Bergman
Recommended versions: Neil Diamond | Dusty Springfield | Farhad Mehrad
"Like the circles that you find in the windmills of your mind", Nested repetition is when a control
structure is placed inside of the body or main part of another control structure.
break
to exit out of a loop
Sometimes you may want to exit the loop when a certain condition different from the counting
condition is met. Perhaps you are looping through a list and want to exit when you find the first
element in the list that matches some criterion. The break keyword is useful for such an
operation. For example run the following program:
i =
0 j =
2
i =
1 j =
4
i =
2 j =
6
In the first case, the for loop only executes 3 times before the condition j == 6 is TRUE and the
loop is exited. In the second case, j == 7 never happens so the loop completes all its anticipated
traverses.
In both cases an
if
statement was used within a for loop. Such "mixed" control structures are
quite common (and pretty necessary). A
while
loop contained within a
for
loop, with
In [6]:
#
j
=
0
for
i
in
range
(
0
,
5
,
1
):
j
+=
2
print
(
"i = "
,
i
,
"j = "
,
j
)
if
j
==
6
:
break
In [ ]:
# One Small Change
j
=
0
for
i
in
range
(
0
,
5
,
1
):
j
+=
2
print
(
"i = "
,
i
,
"j = "
,
j
)
if
j
==
7
:
break
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HUFFMAN TREE
Given Letters A, B, C, D, E with following frequencies.
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- What are some of the most frequent computer programs that are used to solve the issue of the least spanning tree?arrow_forwardconvert this C++ codes into C language #include <bits/stdc++.h>using namespace std; // tree node is definedclass tree{ public: int data; tree *left; tree *right;}; void printSibling(tree* root){ //Declare queue using STL queue<tree*> q; //enqueue the root q.push(root); vector<int> store; tree* temp; //do the level order traversal & check for siblings while(!q.empty()){ //dequeue temp=q.front(); q.pop(); //if the current node has only one child //definitely the child has no sibling //store the child node value if(temp->left==NULL && temp->right!=NULL){ store.push_back(temp->right->data); } if(temp->left!=NULL && temp->right==NULL){ store.push_back(temp->left->data); } // do level order traversing if(temp->right) q.push(temp->right); if(temp->left) q.push(temp->left); } //if no node found without having sibling //vector size is zero //print -1 if(store.size()==0){ printf("-1, no…arrow_forwardPicture a collection of non-repeating of integers. Depending on the order in which these values are inserted into a maxheap data structure, several different maxheaps can emerge. What will be true about the smallest value in the collection of integers in all of the possible maxheaps? Group of answer choices The smallest value will be at the rightmost leaf at the deepest level of the maxheap. The smallest value will be at one of the leaf nodes of the maxheap. Without knowing the actual values of the set, no conclusions can be drawn about the location of the smallest value in the maxheap. The smallest value could be located at any node of the maxheap other than the root.arrow_forward
- Convert in C language code #include <bits/stdc++.h>using namespace std; // tree node is definedclass tree{ public: int data; tree *left; tree *right;}; void printSibling(tree* root){ //Declare queue using STL queue<tree*> q; //enqueue the root q.push(root); vector<int> store; tree* temp; //do the level order traversal & check for siblings while(!q.empty()){ //dequeue temp=q.front(); q.pop(); //if the current node has only one child //definitely the child has no sibling //store the child node value if(temp->left==NULL && temp->right!=NULL){ store.push_back(temp->right->data); } if(temp->left!=NULL && temp->right==NULL){ store.push_back(temp->left->data); } // do level order traversing if(temp->right) q.push(temp->right); if(temp->left)…arrow_forward8.11 lab AVL tree nth largest operationsarrow_forwardDevelop a Python program that will: 1. accept a list of integers 2. store the integers in a tree data structure 3. Display the minimum value in an efficient manner (ie. using binary tree traversal method, not linear search) 4. Display the maximum value in an efficient manner (ie. using binary tree traversal method, not linear search) Parts #1 & #2 have been done for you. See the attached starter code in P8BinaryTreeMinMax1.py Please supply the functions for #3 & #4. The min and max functionality should be coded as Python functions.arrow_forward
- Assume that disk block size is 1024 bytes. A B+-tree is created on an attribute of length 12 bytes. Each tree pointer is 6 bytes long and each data pointer is 7 bytes long. Find the order nleaf of B+-tree leaf nodes.arrow_forwardWrite a C++ class implementing DOUBLE THREADED BINARY SEARCH TREE that supports the following operations: kthElement(k) -- finds the k-th largest element in the BST and prints the key value. Your code should run in O(h) time. Note: It has be done using double threaded binary search tree. Please comment your code and share the screenshot of the outputarrow_forwardAssume that disk block size is 1024 bytes. A B+-tree is created on an attribute of length 12 bytes. Each tree pointer is 6 bytes long and each data pointer is 7 bytes long. Find the order n of B+-tree nodes.arrow_forward
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