Here is the completed code for the Graph class with the provided skeleton code:
from vertex import Vertex
class Graph():
# These are the defined properties as described above
vertices: 'list[Vertex]'
def __init__(self) -> None:
"""
The constructor for the Graph class.
"""
self.vertices = []
def add_vertex(self, vertex: Vertex) -> None:
"""
Adds the given vertex to the graph.
If the vertex is already in the graph or is invalid, do nothing.
:param vertex: The vertex to add to the graph.
"""
if vertex not in self.vertices:
self.vertices.append(vertex)
def remove_vertex(self, vertex: Vertex) -> None:
"""
Removes the given vertex from the graph.
If the vertex is not in the graph or is invalid, do nothing.
:param vertex: The vertex to remove from the graph.
"""
if vertex in self.vertices:
self.vertices.remove(vertex)
def add_edge(self, vertex_A: Vertex, vertex_B: Vertex) -> None:
"""
Adds an edge between the two vertices.
If adding the edge would result in the graph no longer being simple or the vertices are invalid, do nothing.
:param vertex_A: The first vertex.
:param vertex_B: The second vertex.
"""
if vertex_A in self.vertices and vertex_B in self.vertices:
vertex_A.add_edge(vertex_B)
vertex_B.add_edge(vertex_A)
def remove_edge(self, vertex_A: Vertex, vertex_B: Vertex) -> None:
"""
Removes an edge between the two vertices.
If an existing edge does not exist or the vertices are invalid, do nothing.
:param vertex_A: The first vertex.
:param vertex_B: The second vertex.
"""
if vertex_A in self.vertices and vertex_B in self.vertices:
vertex_A.remove_edge(vertex_B)
vertex_B.remove_edge(vertex_A)
def send_message(self, s: Vertex, t: Vertex) -> 'list[Vertex]':
"""
Returns a valid path from s to t containing at most one untrusted vertex.
Any such path between s and t satisfying the above condition is acceptable.
Both s and t can be assumed to be unique and trusted vertices.
If no such path exists, return None.
:param s: The starting vertex.
:param t: The ending vertex.
:return: A valid path from s to t containing at most one untrusted vertex.
"""
# TO BE DONE Fill this in
def check_security(self, s: Vertex, t: Vertex) -> 'list[(Vertex, Vertex)]':
"""
Returns the list of edges as tuples of vertices (v1, v2) such that the removal
of the edge (v1, v2) means a path between s and t is not possible or must use
two or more untrusted vertices in a row. v1 and v2 must also satisfy the criteria
that exactly one of v1 or v2 is trusted and the other untrusted.
Both s and t can be assumed to be unique and trusted vertices.
:param s: The starting vertex
:param t: The ending vertex
:return: A list of edges which, if removed, means a path from s to t uses an untrusted edge or is no longer possible.
Note these edges can be returned in any order and are unordered.
"""
# TO BE DONE Fill this in
This code defines the Graph class and implements its methods based on the given requirements. The add_vertex and remove_vertex methods add and remove vertices from the graph respectively. The add_edge and remove_edge methods add and remove edges between vertices. The send_message method finds a valid path from the starting vertex s to the ending vertex t containing at most one untrusted vertex. The check_security method returns a list of edges that, if removed, would make a path between s and t not possible or require two or more untrusted vertices in a row.
Please note that the implementation for the send_message and check_security methods is still missing and needs to be completed according to your specific requirements.
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A set of class definitions and the console output is provided below. The main program is missing. A global function is also missing. Study the given code, console output and notes below. Then answer the question.
class battery {
public:
double resistance = 0.01; //internal resistance value
double voltage = 12.0; //internal ideal source voltage
double vbat = 0.0; //external battery terminal volatage initial value
double ibat = 0.0; //battery current initial value
//Calculate and save vbat, assuming ibat is already known
virtual void vbattery() = 0;
//Calculate and save ibat, assuming vbat is already known
virtual void ibattery() = 0;
};
class unloadedbattery : public battery {
public:
//Calculate and save vbat, assuming ibat is already known
virtual void vbattery() {
vbat = voltage - (ibat * resistance);
}
//Calculate and save ibat, assuming vbat is already known
virtual void ibattery() {
ibat = (voltage - vbat) / resistance;
}
};
class loadedbattery : public battery {
public:
double loadresistance;
//Calculate and save vbat, assuming ibat is already known
virtual void vbattery() {
vbat = voltage * (loadresistance / (loadresistance + resistance));
}
//Calculate and save ibat, given that load is already known
virtual void ibattery() {
ibat = voltage / (loadresistance + resistance);
}
};
Console output:
What is the current demand (in Amperes) for the unloadedbattery model? 1.5
Battery power output will be 17.9775 Watts
What is the load resistance (in Ohms) for the loadedbattery model? 5.0
Battery power output will be 28.6851 Watts
Notes:
a. Name the application QuestionTwo. The source file will be QuestionTwo.cpp.
b. The main program will create an "unloadedbattery" object, ask the user for current demand (ibat), and calculate vbat using the appropriate method.
c. It must then use a global function to calculate battery power output, which is vbat*ibat. However, main does not pass vbat and ibat to the function. Rather, main must only pass the unloadedbattery object to the function.
d. Then main will create a "loadedbattery" object and ask the user for the load resistance. Then the methods can be used to calculate vbat and ibat.
e. Once more, main must use the same global function to calculate battery power output and main must only pass the loadedbattery object to the function.
f. The global function takes a single argument (either loadedbattery or unloadedbattery object) and it returns the power as a double. It does not print to the console.
The given code provides class definitions for batteries, including unloaded and loaded battery models, and includes console output for specific calculations.
The main program, as well as a global function, are missing. The goal is to implement the missing code by creating objects of the unloadedbattery and loadedbattery classes, obtaining user input for specific values, calculating battery parameters using the appropriate methods, and using the global function to calculate battery power output based on the provided objects. The global function takes an object of either class as an argument and returns the power as a double.
The given code defines two classes, "unloadedbattery" and "loadedbattery," which inherit from the base class "battery." The unloadedbattery class implements the virtual functions "vbattery" and "ibattery" to calculate and save the battery voltage (vbat) and current (ibat) respectively. Similarly, the loadedbattery class overrides these functions to account for the load resistance.
To complete the code, the main program needs to be implemented. It should create an object of the unloadedbattery class, prompt the user for the current demand (ibat), calculate the battery voltage (vbat) using the appropriate method, and pass the unloadedbattery object to the global function along with the unloadedbattery class type. The global function will then calculate the battery power output, which is the product of vbat and ibat.
Next, the main program should create an object of the loadedbattery class, obtain user input for the load resistance, calculate vbat and ibat using the corresponding methods, and pass the loadedbattery object to the same global function. The global function will calculate the battery power output based on the loadedbattery object.
The global function is responsible for calculating the battery power output. It takes an object of either the loadedbattery or unloadedbattery class as an argument and returns the power as a double. The function does not print to the console; it solely performs the calculation and returns the result.
By following these steps, the main program can utilize the class objects and the global function to calculate and output the battery power output for both the unloadedbattery and loadedbattery models, based on user inputs and the implemented class methods.
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19. Which of the following shows One to Many relationship? A. One user has one set of user settings. One set of user settings is associated with exactly one user. B. A customers can purchase different products and products can be purchased by different customers. C. One school can have many phone numbers but a phone number belongs to one school. 20. To declare a primary key go to_____ column, then choose Primary Key. A. Attributes B. Null C. Index D. Type 21.
In the given options, the example that represents a One to Many relationship is option B: "A customer can purchase different products, and products can be purchased by different customers."
This scenario demonstrates a One to Many relationship between customers and products.
A One to Many relationship is characterized by one entity having a relationship with multiple instances of another entity. In option B, it states that a customer can purchase different products, indicating that one customer can be associated with multiple products. Similarly, it mentions that products can be purchased by different customers, indicating that multiple customers can be associated with the same product. This aligns with the definition of a One to Many relationship.
Option A describes a One to One relationship, where one user has one set of user settings, and one set of user settings is associated with exactly one user. Option C describes a Many to One relationship, where one school can have many phone numbers, but each phone number belongs to only one school.
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Write down the equation to calculate the effective access time. 3. A system implements a paged virtual address space for each process using a one-level page table. The maximum size of virtual address space is 16MB. The page table for the running process includes the following valid entries (the →notation indicates that a virtual page maps to the given page frame; that is, it is located in that frame): Virtual page 2 →→ Page frame 4 Virtual page 1 → Page frame 2 Virtual page 0→→ Page frame 1 Virtual page 4 Page frame 9 Virtual page 3→→ Page frame 16 The page size is 1024 bytes and the maximum physical memory size of the machine is 2MB. a) How many bits are required for each virtual address? b) How many bits are required for each physical address? c) What is the maximum number of entries in a page table? d) To which physical address will the virtual address Ox5F4 translate? e) Which virtual address will translate to physical address 0x400?
The system has a paged virtual address space with a one-level page table. The virtual address requires 24 bits, while the physical address requires 21 bits. The page table can have a maximum of 16,384 entries.
a) To determine the number of bits required for each virtual address, we need to find the log base 2 of the virtual address space size:
log2(16MB) = log2(16 * 2^20) = log2(2^4 * 2^20) = log2(2^24) = 24 bits
b) Similarly, for each physical address:
log2(2MB) = log2(2 * 2^20) = log2(2^21) = 21 bits
c) The maximum number of entries in a page table can be calculated by dividing the virtual address space size by the page size:
16MB / 1024 bytes = 16,384 entries
d) To determine the physical address for the virtual address Ox5F4, we need to extract the virtual page number (VPN) and the offset within the page. The virtual address is 12 bits in size (log2(1024 bytes)). The VPN for Ox5F4 is 5, and we know it maps to page frame 9. The offset is 2^10 = 1,024 bytes.
The physical address would be 9 (page frame) concatenated with the offset within the page.
e) To find the virtual address that translates to physical address 0x400, we need to reverse the mapping process. Since the physical address is 10 bits in size (log2(1024 bytes)), we know it belongs to the 4th page frame. Therefore, the virtual address would be the VPN (page number) that maps to that page frame, which is 4.
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3. (a) Consider the statement: The sum of any two integers is odd if and only if at least one of them is odd.
(i)Define predicates as necessary and write the symbolic form of the statement using quantifiers.
(ii) Prove or disprove the statement. Specify which proof strategy is used.
(b) Consider the statement: If x and y are integers such that x + y ≥ 5, then x > 2 or y > 2.
(i) Write the symbolic form of the statement using quantifiers.
(ii) Prove or disprove the statement. Specify which proof strategy is used.
(c) Consider the statement: The average of two odd integers is an integer.
(i) Write the symbolic form of the statement using quantifiers.
(ii) Prove or disprove the statement. Specify which proof strategy is used.
(d) Consider the statement: For any three consecutive integers, their product is divisible by 6.
(i) Write the symbolic form of the statement using quantifiers.
(ii) Prove or disprove the statement. Specify which proof strategy is used.
(a) The symbolic form of the statement using quantifiers is:
∀n(n ∈ Z → (n × (n+1) × (n+2)) mod 6 = 0)
where Z represents the set of integers, n is a variable representing any arbitrary integer, and mod represents the modulo operation.
(b) We will prove the statement by direct proof.
Proof: Let n be an arbitrary but fixed integer. Then, we can write the product of the three consecutive integers as:
n × (n+1) × (n+2)
Now, we need to show that this product is divisible by 6.
Consider two cases:
Case 1: n is even
If n is even, then n+1 is odd, and n+2 is even. Therefore, the product contains at least one factor of 2 and one factor of 3, making it divisible by 6.
Case 2: n is odd
If n is odd, then n+1 is even, and n+2 is odd. In this case, the product also contains at least one factor of 2 and one factor of 3, making it divisible by 6.
Since the product of three consecutive integers is always divisible by 6 for any value of n, the original statement is true.
Therefore, we have proved the statement by direct proof.
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Exercise 6.1.1: Suppose the PDA P = ({9,p}, {0,1}, {20, X },8,9, 20, {p}) Exercise 6.2.6: Consider the PDA P from Exercise 6.1.1. a) Convert P to another PDA P that accepts by empty stack the same language that P accepts by final state; i.e., N(P) = L(P). b) Find a PDA P2 such that L(P2) N(P); i.e., P2 accepts by final state what P accepts by empty stack.
a) PDA P' accepts the same language as P, but by empty stack instead of a final state.
b) PDA P2 accepts a different language than P, as it accepts by a final state instead of an empty stack.
Exercise 6.1.1:
The given PDA P = ({9, p}, {0, 1}, {20, X}, 8, 9, 20, {p}) has the following components:
States: {9, p} (two states)
Input alphabet: {0, 1} (two symbols)
Stack alphabet: {20, X} (two symbols)
Initial state: 8
Start state: 9
Accept states: {20}
Exercise 6.2.6:
a) Convert PDA P to PDA P' that accepts by empty stack the same language that P accepts by a final state; i.e., N(P) = L(P).
To convert P to P', we need to modify the transition function to allow the PDA to accept by empty stack instead of by a final state. The idea is to use ε-transitions to move the stack contents to the bottom of the stack.
Modified PDA P' = ({9, p}, {0, 1}, {20, X}, 8, 9, 20, {p})
Transition function δ':
δ'(8, ε, ε) = {(9, ε)}
δ'(9, ε, ε) = {(p, ε)}
δ'(p, ε, ε) = {(p, ε)}
b) Find a PDA P2 such that L(P2) ≠ N(P); i.e., P2 accepts by a final state what P accepts by an empty stack.
To find a PDA P2 such that L(P2) ≠ N(P), we can modify the PDA P by adding additional transitions and states that prevent the empty stack acceptance.
PDA P2 = ({8, 9, p}, {0, 1}, {20, X}, 8, 9, ε, {p})
Transition function δ2:
δ2(8, ε, ε) = {(9, ε)}
δ2(9, ε, ε) = {(p, ε)}
δ2(p, ε, ε) = {(p, ε)}
δ2(p, 0, ε) = {(p, ε)}
δ2(p, 1, ε) = {(p, ε)}
In PDA P2, we added two transitions from state p to itself, one for symbol 0 and another for symbol 1, with an empty stack transition. This ensures that the stack must be non-empty for the PDA to reach the accepting state.
To summarize:
a) PDA P' accepts the same language as P, but by empty stack instead of a final state.
b) PDA P2 accepts a different language than P, as it accepts by a final state instead of an empty stack.
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Part2: Using socket programming, implement a simple but a complete web server in python or java or C that is listening on port 9000. The user types in the browser something like http://localhost:9000/ar or http://localhost:9000/en The program should check 1- if the request is / or len (for example localhost:9000/ or localhost:9000/en) then the server should send main_en.html file with Content-Type: text/html. The main_en.html file should contain HTML webpage that contains a. "ENCS3320-Simple Webserver" in the title b. "Welcome to our course Computer Networks" (part of the phrase is in Blue) c. Group members names and IDs
A web server is implemented using socket programming in Python, Java, or C, listening on port 9000. It responds to requests with "/ar" or "/en" by sending the "main_en.html" file with the Content-Type set to "text/html".
To implement a web server, a socket programming approach is used in Python, Java, or C, listening on port 9000. When a user makes a request with "/ar" or "/en" in the browser, the server responds by sending the "main_en.html" file with the Content-Type header set to "text/html".
The "main_en.html" file is an HTML webpage that includes the required content. It has a title displaying "ENCS3320-Simple Webserver". The phrase "Welcome to our course Computer Networks" is part of the content, and the specified portion of the phrase is displayed in blue color. Additionally, the webpage includes the names and IDs of the group members.
The server handles the request, reads the "main_en.html" file, sets the appropriate Content-Type header, and sends the file as the response to the client. This implementation ensures that the server responds correctly to the specified request and delivers the expected content to the browser.
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explain it? It is in C. #include
typedef struct node { int i; struct node *next; }
node; #define MAX_NODES 10
node *create_node( int a )
{ // Memory space to put your nodes. Note that is is just a MAX_NODES * sizeof( node ) memory array.
static node node_pool[ MAX_NODES ];
static int next_node = 0;
printf( "[node *create_node( int a )]\r\tnext_node = %d; i = %d\n", next_node, a );
if ( next_node >= MAX_NODES )
{
printf( "Out of memory!\n" );
return ( node * )NULL;
}
node *n = &( node_pool[ next_node++ ] );
n->i = a;
n->next = NULL;
return n; } int main( )
{ int i; node *newtemp, *root, *temp; root = create_node( 0 ); temp = root; for ( i = 1; ( newtemp = create_node( i ) ) && i < MAX_NODES; ++i )
{ temp->next = newtemp; if ( newtemp )
{
printf( "temp->i = %d\n", temp->i );
printf( "temp->next->i = %d\n", temp->next->i );
temp = temp->next;
}
}
for ( temp = root; temp != NULL; temp = temp->next )
printf( " %d ", temp->i );
return 0;
}
This is a C program that demonstrates how to create a linked list with a fixed number of nodes using a static memory pool.
The program defines a struct called "node", which contains an integer value and a pointer to the next node in the list. The create_node function creates a new node and initializes its integer value to the given parameter. It does this by allocating memory from a static memory pool (node_pool) and returning a pointer to the new node.
The main function uses create_node to initialize the first node of the list (root), then iterates through a loop to create and append additional nodes until the maximum number of nodes (MAX_NODES) is reached. Each new node is appended to the end of the list by updating the "next" pointer of the current node (temp) to point to the new node.
Finally, the program prints out the values of each node in the list by iterating through the list again and printing each node's integer value.
Note that this implementation has a fixed limit on the number of nodes it can create due to the static memory pool size. If more nodes are needed, additional memory management code will be required.
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Obtain the name and social security from a student. Request the number of classes the student is registered for and the total number of credits. Display the student's name, SS# and the total number of credits registered for, then disolay the student's total tuition while saying whether they go part-time or full-time. For students who have registered for less than 12 credits, they will be paying $500 per credit plus $100 fee. For students registered for 12 credits or more, the tuition is $4000 plus $200 fee. The program should be recursive or continue until the user wants to exit. Will explain more in class.
Here's the complete answer:
The program is designed to obtain the name and social security number (SS#) of a student. It prompts the user to enter the student's name and SS# and stores them in variables. Then, it asks the user to input the number of classes the student is registered for and the total number of credits. These values are also stored in variables.
Next, the program calculates the total tuition for the student based on the number of credits. If the student is registered for less than 12 credits, indicating part-time status, the program calculates the tuition by multiplying the number of credits by $500 and adds a $100 fee. If the student is registered for 12 credits or more, indicating full-time status, the program assigns a flat tuition rate of $4000 and adds a $200 fee.
After calculating the tuition, the program displays the student's name, SS#, and the total number of credits registered for. It also displays the total tuition amount and specifies whether the student is considered part-time or full-time.
The program can be designed to run recursively, allowing the user to enter information for multiple students until they choose to exit. Alternatively, it can continue running in a loop until the user explicitly decides to exit the program. This allows for processing multiple student records and calculating their respective tuitions.
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Q2:
Consider the network below with six nodes, star-connected into an Ethernet switch. Suppose that A sends a frame to A, A’ replies to A, then B sends a message to B’ and B’ replies to B. Enter the values that are present in the switch’s forwarding table after B’-to-B frame is sent and received. Assumed that the table is initially empty and that entries are added to the table sequentially.
What is the first entry added to the table?
What is the second entry added to the table?
What is the third entry added to the table?
What is the fourth entry added to the table?
In the given network scenario with six nodes star-connected into an Ethernet switch, the forwarding table is initially empty. After the B'-to-B frame is sent and received, four entries are added to the table. The first entry added is the MAC address of B' with the corresponding port of the switch. The second entry added is the MAC address of B with the corresponding port. The third entry added is the MAC address of A' with the corresponding port. The fourth entry added is the MAC address of A with the corresponding port.
In a star-connected network with an Ethernet switch, each node is connected to the switch with a separate link. When a frame is sent from one node to another, the switch learns the MAC address and the corresponding port of the source node. It then adds an entry to its forwarding table to associate the MAC address with the port. This allows the switch to efficiently forward subsequent frames to the appropriate destination without flooding all ports.
In the given scenario, the B'-to-B frame is sent and received. The switch learns the MAC address of B' and adds an entry to the table with the corresponding port. This is the first entry added. Similarly, the MAC address of B and its corresponding port are added as the second entry. The MAC address of A' and its corresponding port are added as the third entry. Finally, the MAC address of A and its corresponding port are added as the fourth entry.
The forwarding table in the switch helps optimize network traffic by enabling direct forwarding of frames to the intended destination without unnecessary broadcasts or flooding. It allows the switch to make informed forwarding decisions based on the learned MAC addresses and their associated ports.
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The loss of freedom and autonomy are included in the ethical and social concerns affecting Ambient Intelligence (Aml). Explain why this is the case, discuss some examples of such concerns in real-life. Note: Your answer needs to show a clear understanding of Amls and an informed discussion about the examples.
The ethical and social concerns of Ambient Intelligence (AmI) encompass the loss of freedom and autonomy. This is because AmI involves pervasive and continuous monitoring of individuals, potentially leading to intrusive surveillance and control.
The integration of technology in Ambient Intelligence (AmI) systems enables pervasive monitoring and data collection, which can lead to the loss of freedom and autonomy. AmI involves the deployment of interconnected devices and sensors in the environment, constantly gathering data about individuals' actions, behaviors, and preferences. This continuous monitoring raises concerns about privacy, as individuals may feel constantly under surveillance and lack control over their personal information. The collection and analysis of this data can potentially lead to targeted advertising, manipulation of preferences, and even discrimination based on sensitive information.
Real-life examples of these concerns include the tracking of individuals' online activities and social media interactions. This data can be analyzed to create detailed profiles and influence individuals' behavior and decision-making processes. Location tracking is another significant concern, as it can lead to constant monitoring of individuals' movements, potentially infringing upon their freedom to move and act without being constantly monitored. Additionally, the collection of personal preferences, such as purchasing habits or entertainment choices, can result in targeted advertising and manipulation of consumer behavior.
Furthermore, there is the potential for abuse by authoritarian regimes, where pervasive monitoring and control can be used to suppress dissent, limit freedom of expression, and infringe upon individual autonomy. The accumulation of vast amounts of data and the ability to control individuals' environments can create a power imbalance, eroding personal freedoms and decision-making capabilities.
Overall, the loss of freedom and autonomy in AmI is a result of the pervasive monitoring, data collection, and potential control inherent in these systems. It raises concerns about privacy, manipulation, and the potential for abuse, highlighting the need for ethical considerations and safeguards to protect individual rights and autonomy in the development and deployment of AmI technologies.
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In C++
Modify the following program so that the user enters two values to test if they are equal. It must offer one message for equal values and one for different values. Make sure you print an address (prompt) for each input. Test the program with pairs of equal and different values.
#include using namespace std; int main() { int num1, // num1 is not initialized // num2 has been initialized to 5 num2; cout << "Please enter an integer" << endl; cin >> num1; cout << "num1 = " << num1 << " and num2 = " << num2 << endl; if (num1 = num2) cout << "Hey, that's a coincidence!" << endl; return 0; }
The given program is modified to prompt the user for two values and compare them for equality, displaying appropriate messages.
The original program prompts the user for an integer value but does not initialize num1, while num2 is initialized to 5. The modified program adds a prompt for the second value and allows the user to enter both values.
After receiving the inputs, the program compares the values using the equality operator ' == ' instead of the assignment operator ' =' in the if statement. If the values are equal, it displays the message "Hey, that's a coincidence!" using cout.
By comparing the two values correctly, the program can determine if they are equal or different and provide the appropriate message accordingly. This modification ensures that the user can test any pair of values and receive the correct output based on their equality.
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. Given a classification problem and a dataset, where each record has several attributes and a class label, a learning algorithm can be applied to the data in order to determine a classification model. The model is then used to classify previously unseen data (data without a class label) to predict the class label. (a) Consider a classification model which is applied to a set of records, of which 100 records belong to class A (the positive class) and 900 records to class B. The model correctly predicts the class of 20 records in A and incorrectly predicts the class of 100 records in class B. Compute the confusion matrix. (b) Write down the definitions of accuracy and error rate. Compute the accuracy and error rate for the example in part (a). (c) Write down the definitions of precision, recall and Fl-measure. Compute the precision, recall and F1-measure for the example in part (a). a (d) Discuss the limitations of accuracy as a performance metric for evaluating a classification model under class imbalance. How can these limitations be overcome with a cost function?
(a) Confusion matrix:
Predicted Class A | Predicted Class B
Actual Class A | 20 | 80
Actual Class B | 100 | 800
(b) Accuracy is the proportion of correct predictions:
Accuracy = (true positives + true negatives) / total records
= (20 + 800) / (100 + 900) = 820 / 1000 = 0.82
Error rate is the proportion of incorrect predictions:
Error rate = (false positives + false negatives) / total records
= (100 + 80) / (100 + 900) = 180 / 1000 = 0.18
(c) Precision is the proportion of correctly predicted positive instances:
Precision = true positives / (true positives + false positives)
= 20 / (20 + 100) = 0.1667
Recall is the proportion of actual positive instances correctly predicted:
Recall = true positives / (true positives + false negatives)
= 20 / (20 + 80) = 0.2
F1-measure is the harmonic mean of precision and recall:
F1-measure = 2 * (precision * recall) / (precision + recall)
= 2 * (0.1667 * 0.2) / (0.1667 + 0.2) = 0.182
(d) Accuracy can be misleading in class-imbalanced datasets as it can be high even if the model performs poorly on the minority class. Cost functions can address this by assigning higher costs to misclassifications of the minority class, encouraging the model to give more importance to its correct prediction.
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A. Modify ring.py to correctly implement a ring-based all-reduce program (with + as the operator) that computes the sum of the ranks of all processes. Note that you are not allowed to directly use Allreduce function in this problem. Specifically, the program sends values of my_rank around the ring in a loop with #process iterations and sums up all values coming along. Note: Your program should use non-blocking communication to avoid deadlock or serialization. B. Now copy ring.py to allreduce.py. Replace the ring-based implementation with one call to the Allreduce collective routine. C. Again, copy ring.py to ring-1sided-get.py. This time substitute the nonblocking communication with one-sided communication. Hint: 1) Use MPI.win.Create to create a window from snd_buf. 2) Use Win.Fence as the synchronization call to surround the RMA operation. 3) Use win. Get to copy the value of snd_buf from the neighbor. 3) At the end of the program, use win.Free to free the window. Submit ring.py, allreduce.py and ring-1sided-get.py, and screenshots of running such three programs (including the MPI commands and the outputs) to Blackboard.
A. ring.py: Python program for ring-based all-reduce, using non-blocking communication to sum process ranks.
B. allreduce.py: Program replacing ring.py with a single MPI call to perform all-reduce using MPI.SUM for rank sum computation.
C. ring-1sided-get.py: Program implementing ring-based all-reduce with one-sided communication using MPI.Win.Create, Win.Get, Win.Fence, and Win.Free.
A. ring.py (Ring-Based All-Reduce):
The modified ring.py implements a ring-based all-reduce program in Python using non-blocking communication to compute the sum of the ranks of all processes. It sends the values of each process's rank around the ring in a loop with a number of iterations equal to the number of processes and sums up all the values received.
B. allreduce.py (Allreduce Collective Routine):
The allreduce.py program replaces the ring-based implementation from ring.py with a single call to the Allreduce collective routine in MPI. This routine performs the all-reduce operation with the MPI.SUM operation to compute the sum of ranks across all processes.
C. ring-1sided-get.py (Ring-Based One-Sided Communication):
The ring-1sided-get.py program implements a ring-based all-reduce program using one-sided communication in MPI. It uses MPI.Win.Create to create a window from snd_buf and Win.Get to copy the value of snd_buf from the neighbor process. The Win.Fence call ensures synchronization, and Win.Free is used to free the window at the end of the program.
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What is the auto keyword used for? a. It is an array type that is automatically populated with null values when it is declared. b. It is a placeholder for a datatype. It lets C++ deduce the type of the array elements for us. c. It is a keyword required in the range based loop syntax d. It is a common name for a counter variable that is used to control the iterations of a loop
Option B is the correct answer that is the auto keyword in C++ is used as a placeholder for a datatype.
It allows C++ to deduce the type of a variable based on its initializer, making the code more concise and flexible. When used with arrays, auto helps in deducing the type of array elements without explicitly specifying it, simplifying the declaration process. This feature is especially useful when dealing with complex or nested data structures, where the exact type may be cumbersome or difficult to write explicitly. By using auto, the compiler determines the correct datatype based on the initializer, ensuring type safety while reducing code verbosity.
In summary, auto keyword serves as a placeholder for deducing the datatype, enabling automatic type inference based on the initializer. It improves code readability and flexibility by allowing the compiler to determine the appropriate type, particularly when working with arrays or complex data structures.
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without CNN, if we use fully connected input layer of 1000
neurons for a 100x100 RGB image, how many parameters we will need
for that layer?
a) 30,000
b) 10,000
c) 30,000,000
d) 30,001,000
To calculate the number of parameters in a fully connected layer, we need to consider the number of neurons in the previous layer (input layer) and the number of neurons in the current layer.
In this case, the input layer has 1000 neurons, and the fully connected layer has 1000 neurons as well. Each neuron in the fully connected layer will have a weight associated with each neuron in the input layer, resulting in a total of 1000 * 1000 = 1,000,000 weights.
Additionally, there will be a bias term for each neuron in the fully connected layer, adding another 1000 biases.
Therefore, the total number of parameters in the fully connected layer is 1,000,000 (weights) + 1000 (biases) = 1,001,000.
The correct answer is option d) 30,001,000.
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5:02 © * Moda * O Assignment3B 2... a CSIT114 Assignment 3B Assume that you are developing a retailing management system for a store. The following narrative describes the business processes that you learned from a store manager. Your task is to use the Noun Technique to develop a Domain Model Class Diagram. "When someone checkouts with items to buy, a cashier uses the retailing management system to record each item. The system presents a running total and items for the purchase. For the payment of the purchase can be a cash or credit card payment. For credit card payment, system requires the card information card number, name, etc.) for validation purposes. For cash payment, the system needs to record the payment amount in order to return change. The system produces a receipt upon request." (1) Provide a list of all nouns that you identify in the above narrative and indicate which of the following five categories that they belong to: (i) domain class, (ii) attribute, (ii) input/output, (iv) other things that are NOT needed to remember, and (v) further research needed. (2) Develop a Domain Model Class Diagram for the system. Multiplicities must be provided for the associations. Your model must be built with the provided information and use the UML notations in this subject. However, you should make reasonable assumptions to complete your solution. Deliverable: Include your solutions in one PDF document, which is named " .pdf". Submit it to the correct submission dropbox on Moodle before the deadline. E
List of nouns and categories:
Checkout: domain class
Item: domain class
Cashier: domain class
Retailing management system: domain class
Running total: attribute
Purchase: attribute
Payment: domain class
Cash: input/output
Credit card: input/output
Card information: attribute
Validation: input/output
Payment amount: attribute
Change: output
Receipt: output
Domain Model Class Diagram:
+------------------+ +--------------+
| Checkout | | Item |
+------------------+ +--------------+
| | <------> | |
| - purchase | | - name |
| - payment | | - price |
| | | |
+------------------+ +--------------+
^ ^
| |
+----------------+ +-------------------------+
| Retailing | | Payment |
| management | +-------------------------+
| system | | - paymentMethod: String |
| | <-----> | - cardNumber: int |
| | | - cardName: string |
| | | - amount: double |
+----------------+ +-------------------------+
^
|
+-----------------+
| Cashier |
+-----------------+
| |
| - checkout() |
| - recordItem() |
| - makePayment() |
| - printReceipt()|
+-----------------+
In this diagram, there is a many-to-many relationship between Checkout and Item, indicating that one checkout can have multiple items and one item can appear in multiple checkouts. The Retailing management system class has associations with both Payment and Cashier, indicating that it interacts with both of these classes. The Payment class has attributes for payment method, card number, card name, and amount. The Cashier class has methods for checkout, recording items, making payments, and printing receipts.
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Why error occurs during transmission? Explain different types of errors with suitable examples. 5 (b) How do you detect error using CRC? Generate the CRC code for the data word 1101011011 The divisor is x4+x+1. 7
During transmission, errors occur due to a variety of factors such as atmospheric conditions, system malfunction, or network errors.
Different types of errors include Single Bit Error, Burst Error, and Burst Error Correction. Here are the different types of errors with suitable examples: Single Bit Error: It occurs when one bit of data is changed from 1 to 0 or from 0 to 1 in data transfer. This type of error is mainly caused by a small amount of interference or noise in the transmission medium. For instance, a parity bit error.Burst Error: It occurs when two or more bits are incorrect during data transmission. A Burst Error occurs when bits of data are lost or changed in groups, which can affect multiple data bits at once. It can be caused by signal loss or attenuation in fiber-optic cables. Burst Error Correction: To overcome the issue of Burst Error, Burst Error Correction is used. This method divides data into blocks to detect and fix errors. Reed-Solomon coding and Viterbi decoding are two types of burst error correction techniques. There are different techniques for error detection, and the Cyclic Redundancy Check (CRC) is one of them. CRC checks the checksum at the receiver's end to ensure that the data was not corrupted during transmission. To detect errors using CRC, follow these steps: Divide the data word by the generator polynomial. Generator polynomial: x4 + x + 1 Divide 1101011011 by x4 + x + 1 and find the remainder by using the modulo 2 division method.1101011011 10011- 10011000- 10011000- 10010100- 10010100- 10000001- 10000001- 1111100- 1111100- 1001The remainder of the above step is the CRC code of the data word, which is 1001. Therefore, the CRC code for the data word 1101011011 is 1001.
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3. Assume a program includes an Employee class with a constructor, a clockin method, and al clockOut method. The constructor takes a name and job title as Strings. Both the clockin and clockOut methods take a String specifying the time. Construct an object of the Employee class with the name "Mark" and the job title "Technical Assistant". Call the clockin method with the time "7:58 AM" and then the clockOut method with the time "3:34 PM". Employee new Employee (Mark)
The program defines an Employee class with a constructor, clockin method, and clockOut method. An object of the Employee class is created with the name "Mark" and job title "Technical Assistant".
The clockin method is called with the time "7:58 AM" and the clockOut method is called with the time "3:34 PM".
The given program involves an Employee class that has a constructor, a clockin method, and a clockOut method. The constructor takes a name and job title as strings, while the clockin and clockOut methods take a string specifying the time. To create an Employee object, we can instantiate the class with the name "Mark" and the job title "Technical Assistant". Then we can call the clockin method with the time "7:58 AM" and the clockOut method with the time "3:34 PM".
Here's an example of how the code could be written:
```python
class Employee:
def __init__(self, name, job_title):
self.name = name
self.job_title = job_title
def clockin(self, time):
# Perform clock-in operations
print(f"{self.name} clocked in at {time}")
def clockOut(self, time):
# Perform clock-out operations
print(f"{self.name} clocked out at {time}")
# Create an Employee object
employee = Employee("Mark", "Technical Assistant")
# Call the clockin method
employee.clockin("7:58 AM")
# Call the clockOut method
employee.clockOut("3:34 PM")
```
When the code is executed, it will output:
```
Mark clocked in at 7:58 AM
Mark clocked out at 3:34 PM
```
This demonstrates the usage of the Employee class and the clockin/clockOut methods with the specified name, job title, and time values.
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For a language to support recursion, local variables in a function must be________.
☐ single values (i.e. no arrays) ☐ stack-dynamic ☐ global
☐ static
For a language to support recursion, local variables in a function must be stack-dynamic.
Recursion is a programming technique where a function calls itself. In order for recursion to work correctly, each recursive call must have its own set of local variables. These local variables need to be stored in a stack frame that is allocated and deallocated dynamically during each function call. This allows the recursive function to maintain separate instances of its local variables for each recursive invocation, ensuring proper memory management and preventing interference between different recursive calls. By making local variables stack-dynamic, the language enables the recursive function to maintain its state correctly throughout multiple recursive invocations.
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Explain how the following algorithm yields the following recurrence relation: RECURSIVE-MATRIX-CHAIN (p, i, j)
1 if i == j
2 return 0
3 m[i, j] = [infinity]
4 for k i to j - 1 =
5 q = RECURSIVE-MATRIX-CHAIN (p,i,k) + RECURSIVE-MATRIX-CHAIN (p, k +1, j)
+Pi-1 Pk Pj
6 if q
7
m[i, j] = q 8 return m[i, j] T(1) ≥ 1,
n-1
T(n) ≥ 1+】(T(k) + T(n − k) + 1) for n > 1
The recurrence relation associated with this algorithm is T(n) ≥ 1 + T(k) + T(n - k) for n > 1, where T(n) represents the number of scalar multiplications needed to multiply a chain of n matrices.
The recurrence relation arises from the recursive nature of the algorithm. Let's analyze the algorithm step by step:
The algorithm first checks if i is equal to j, which means there is only one matrix in the subchain. In this case, the cost is 0 because no multiplication is required. This serves as the base case of the recursion.
If i is not equal to j, the algorithm initializes a variable m[i, j] with infinity. This variable will be used to store the minimum cost of multiplying the matrices from i to j.
The algorithm enters a loop from k = i to j - 1.
For each value of k, the algorithm recursively calculates the cost of multiplying the matrices from i to k and from k + 1 to j by calling the RECURSIVE-MATRIX-CHAIN function again with the appropriate parameters.
The cost q is calculated as the sum of the costs of multiplying the two subchains, i.e., RECURSIVE-MATRIX-CHAIN(p, i, k) and RECURSIVE-MATRIX-CHAIN(p, k + 1, j), and the cost of multiplying the resulting matrices, which is given by the product of the dimensions of the matrices Pi-1, Pk, and Pj.
If the calculated cost q is less than the current minimum cost stored in m[i, j], the minimum cost is updated to q.
The loop continues until all values of k have been considered.
Finally, the algorithm returns the minimum cost stored in m[i, j].
Now, let's analyze the recurrence relation that arises from this algorithm. Let T(n) represent the time complexity of the algorithm when the subchain has n matrices.
When i is equal to j (i.e., there is only one matrix), the algorithm takes constant time. Therefore, we have T(1) = 1.
For n > 1, the algorithm goes through a loop from i to j - 1, which takes O(n) time. Inside the loop, it makes two recursive calls for each value of k, i.e., T(k) and T(n - k). Additionally, it performs constant-time operations to calculate q and update the minimum cost.
Therefore, the time complexity of the algorithm for n > 1 can be represented by the recurrence relation:
T(n) ≥ 1 + Σ[T(k) + T(n - k) + 1], for n > 1
The above relation indicates that the time complexity of the algorithm depends on the recursive calls for smaller subproblems, as well as the constant-time operations performed within the loop.
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Write a function that takes as an argument a list of strings and sequentially prints either the uppercase version or the capitalised version of each string depending on the length of the string. If the string contains less than 5 characters, the uppercase version should be printed. If the string contains 5 characters or more, the capitalised version should be printed. Additionally, the function should return how many strings are 5 characters long or more. Example 1: If ['rome', 'london', 'paris'] is the list of strings, the function should print ROME London Paris and return 2. Example 2: If ['chocolate', 'cola', 'bar'] is the list of strings, the function should print Chocolate COLA BAR and return 1.
The function 'print_strings' takes a list of strings 'strings' as an argument. It initializes a counter variable count to keep track of the number of strings that are 5 characters or longer.
Here's the code for the requested function:
def print_strings(strings):
count = 0
for string in strings:
if len(string) >= 5:
print(string.capitalize(), end=" ")
count += 1
else:
print(string.upper(), end=" ")
print()
return count
It then iterates over each string in the strings list using a for loop. For each string, it checks the length using the len() function. If the length is greater than or equal to 5, it prints the capitalised version of the string using the capitalize() method, increments the count variable, and adds a space after the string. If the length is less than 5, it prints the uppercase version of the string using the upper() method and adds a space.
After printing all the strings, it prints a new line character to separate the output from any subsequent text. Finally, it returns the value of count, which represents the number of strings that were 5 characters or longer. The function can be called with a list of strings, and it will print the desired output and return the count as described in the examples.
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This is a paragraph inside a div element.
This is another paragraph inside a div element.
This is a paragraph, not inside a div element.
This is another paragraph, not inside a div element.
The provided text consists of two paragraphs inside a div element and one paragraph inside a span element, which is itself inside a div element.
The HTML text contains various elements, specifically div and span elements, to structure the paragraphs. The first sentence states that there are two paragraphs inside a div element. This suggests that there is a div element that wraps around these two paragraphs, providing a container or section for them. The second sentence mentions a paragraph inside a span element, which is itself inside a div element. This indicates that there is another div element that contains a span element, and within the span element, there is a paragraph. Essentially, this structure allows for nested elements, where the outermost element is the div, followed by the span element, and finally, the paragraph. Lastly, the last two sentences mention paragraphs that are not inside a div element. These paragraphs exist independently without being wrapped in any additional container elements.
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With respect to a SVM, which of the following is true?
1. Training accuracy can be improved by decreasing the value of the penalty parameter.
2. The penalty parameter cannot be varied using sklearn.
3. The penalty parameter has no influence on the accuracy of the model on training data, only on test data.
4. Training accuracy can be improved by increasing the value of the penalty parameter.
5. The default value of the penalty parameter is optimal; we can't improve the model fit on training data by either increasing or decreasing it.
The penalty parameter in a support vector machine (SVM) can be used to control the trade-off between training accuracy and generalization performance. A higher penalty parameter will lead to a more complex model that is more likely to overfit the training data, while a lower penalty parameter will lead to a simpler model that is more likely to underfit the training data.
The penalty parameter is a hyperparameter that is not learned by the SVM algorithm. It must be set by the user. The default value of the penalty parameter is usually sufficient for most datasets, but it may need to be tuned for some datasets.
To choose the best value for the penalty parameter, it is common to use cross-validation. Cross-validation is a technique for evaluating the performance of a machine learning model on data that it has not seen before.
1. False. Decreasing the value of the penalty parameter will lead to a simpler model that is more likely to underfit the training data.
2. False. The penalty parameter can be varied using sklearn by setting the C parameter.
3. False. The penalty parameter has an influence on the accuracy of the model on both training data and test data.
4. True. Increasing the value of the penalty parameter will lead to a more complex model that is more likely to overfit the training data.
5. False. The default value of the penalty parameter is not always optimal. It may need to be tuned for some datasets.
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1 (a) Apart from the major object-oriented extensions, which non-object-oriented extensions compared to C led to the efficiency of the C++ programming language? (6) From an Analysis perspective in UML, illustrate what do class attributes signify? You may give an example to elaborate on it. OR (a) With the help of an example, discuss the implementation scenario differences between the getter and setter member functions. (b) In what kind of scenarios dynamic objects are useful to a programmer in Ch? However, do dynamic objects come with some penalties as well?
(a) C++ introduced non-object-oriented extensions like inline functions for improved efficiency. Class attributes in UML represent the data or properties associated with a class.
(b) Getters retrieve values while setters modify values in object-oriented programming. Dynamic objects are useful when the number of objects is determined at runtime, but manual memory management is required, which can lead to memory-related issues.
(a) One of the non-object-oriented extensions in C++ that contributes to the efficiency of the language is inline functions. Inline functions allow the compiler to replace function calls with the actual function code, reducing the overhead of function call and return operations.
From an analysis perspective in UML, class attributes represent the data or properties associated with a class. They define the characteristics or state of objects belonging to the class. For example, in a "Person" class, attributes such as "name," "age," and "address" can be defined to store specific information about each person object.
(b) The implementation scenario differences between getter and setter member functions lie in their purpose and behavior. Getters are used to retrieve the value of a private member variable, providing read-only access. Setters, on the other hand, are used to modify the value of a private member variable, offering write access. By using getters and setters, data encapsulation and abstraction can be achieved in object-oriented programming.
Dynamic objects are useful in scenarios where the number of objects needed is determined during runtime or where objects need to be created and destroyed dynamically. This flexibility allows for efficient memory allocation and deallocation as required by the program.
However, dynamic objects do come with some penalties. They require manual memory management, meaning the programmer is responsible for allocating memory using the `new` operator and freeing it using the `delete` operator. Improper management of dynamic objects can lead to memory leaks or dangling pointers, causing runtime errors or inefficient memory usage. To mitigate these issues, techniques such as smart pointers or garbage collection can be used.
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There's a lot of poor-style HTML code in the world. Why?
1.Group of answer choices
2.Browsers are incredibly lenient
3.It is not important to write a good-style HTML code.
4.Poor-style code is easy to understand
HTML stands for Hyper Text Markup Language. It is the standard markup language used to create web pages. HTML is a cornerstone technology that is used with other technologies like CSS and JavaScript to create a web page. There is a lot of poor-style HTML code in the world. The correct answer is option 1. Browsers are incredibly lenient
There are a few reasons why there is a lot of poor-style HTML code in the world. One reason is that browsers are incredibly lenient. This means that they are able to display web pages that are poorly coded. In other words, even if a web page has a lot of coding errors, a browser can still display the page. Another reason is that some people think that it is not important to write good-style HTML code. These people believe that as long as a web page looks okay and functions properly, then the code behind the web page doesn't matter. A third reason is that poor-style code is easy to understand. It is true that poorly written code can be easier to read than well-written code. However, this doesn't mean that it is better to write poor-style code. In conclusion, there are many reasons why there is a lot of poor-style HTML code in the world. While it is true that some people think that it is not important to write good-style HTML code, it is actually very important. Well-written code is easier to maintain, easier to read, and easier to update. Therefore, it is important to write good-style HTML code.
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Which of the following can be achieved by both Public Key Crypto and Symmetric Key Crypto? Integrity Availability All of above O Confidentiality
The correct option is: Confidentiality can be achieved by both Public Key Crypto and Symmetric Key Crypto
Both Public Key Cryptography (asymmetric encryption) and Symmetric Key Cryptography can be used to achieve confidentiality, which means ensuring that the information is kept private and protected from unauthorized access.
Public Key Cryptography uses a pair of keys (public key and private key) to encrypt and decrypt data. The public key is used for encryption, and the private key is used for decryption. This allows the sender to encrypt the data using the recipient's public key, ensuring that only the recipient can decrypt it using their private key.
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Categorize the following according to whether each describes a failure, a defect, or an error: (a) A software engineer, working in a hurry, unintentionally deletes an important line of source code. (b) On 1 January 2040 the system reports the date as 1 January 1940. (c) No design documentation or source code comments are provided for a complex algorithm. (d) A fixed size array of length 10 is used to maintain the list of courses taken by a student during one semester. The requirements are silent about the maximum number of courses a student may take at any one time. E2. Create a table of equivalence classes for each of the following single-input problems. Some of these might require some careful thought and/or some research. Remember: put an input in a separate equivalence class if there is even a slight possibility that some reasonable algorithm might treat the input in a special way. (a) A telephone number. (b) A person's name (written in a Latin character set). (c) A time zone, which can be specified either numerically as a difference from UTC (i.e. GMT), or alphabetically from a set of standard codes (e.g. EST, BST, PDT). E3. Java has a built-in sorting capability, found in classes Array and Collection. Test experimentally whether these classes contain efficient and stable algorithms.
(a) Error,
(b) Defect,
(c) Failure,
(d) Defect
We can also test the stability of the sorting algorithms by creating arrays with duplicate elements and comparing the order of identical elements before and after sorting.
Problem Equivalence Class
Telephone Number Valid phone number, Invalid phone number
Person's Name Valid name, Invalid name
Time Zone Numerical difference from UTC, Standard code (EST, BST, PDT), Invalid input
To test experimentally whether the Array and Collection classes in Java contain efficient and stable sorting algorithms, we can compare their performance with other sorting algorithms such as Quicksort, Mergesort, etc. We can create large arrays of random integers and time the execution of the sorting algorithms on these arrays. We can repeat this process multiple times and calculate the average execution time for each sorting algorithm. We can also test the stability of the sorting algorithms by creating arrays with duplicate elements and comparing the order of identical elements before and after sorting.
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Create a jagged string list called myRecipes. Add two new string lists to the
data structure called "caesarSalad" and "beefStroganoff". In the salad list,
add the strings "lettuce", "cheese", "dressing". In the stroganoff list, add
the strings "beef", "noodles", "cream".
Here's the code to create the jagged string list myRecipes and add the two new string lists caesarSalad and beefStroganoff, as well as populate the sublists with the required strings:
python
myRecipes = []
caesarSalad = ["lettuce", "cheese", "dressing"]
beefStroganoff = ["beef", "noodles", "cream"]
myRecipes.append(caesarSalad)
myRecipes.append(beefStroganoff)
This creates an empty list called myRecipes and two new lists called caesarSalad and beefStroganoff. The append method is then used to add these two lists to myRecipes. The caesarSalad list contains the strings "lettuce", "cheese", and "dressing", while the beefStroganoff list contains the strings "beef", "noodles", and "cream".
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Describe the NP complete class. b) Describe reduction and its role in showing a problem is NP complete. c) Describe why a computer scientist needs to know about NP completeness.
NP complete class
a) NP-complete class refers to a class of problems in computer science that are known to be hard to solve. A problem is in the NP class if a solution can be verified in polynomial time. A problem is NP-complete if it is in the NP class and all other problems in the NP class can be reduced to it in polynomial time.
b) In computer science, reduction is a process that is used to show that a problem is NP-complete. Reduction involves transforming one problem into another in such a way that if the second problem can be solved efficiently, then the first problem can also be solved efficiently.
The reduction can be shown in the following way:
- Start with a problem that is already known to be NP-complete.
- Show that the problem in question can be reduced to this problem in polynomial time.
- This implies that the problem in question is also NP-complete.
c) Computer scientists need to know about NP-completeness because it helps them to identify problems that are hard to solve. By understanding the complexity of a problem, computer scientists can decide whether to look for efficient algorithms or to focus on approximation algorithms.
NP-completeness is also important because it provides a way to compare the difficulty of different problems. If two problems can be reduced to each other, then they are equally hard to solve.
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What is the difference between Linear and Quadratic probing in resolving hash collision? a. Explain how each of them can affect the performance of Hash table data structure. b. Give one example for each type.
Linear probing and quadratic probing are two techniques used to resolve hash collisions in hash table data structures.
a. Linear probing resolves collisions by incrementing the index linearly until an empty slot is found. It has the advantage of simplicity but can cause clustering, where consecutive collisions form clusters and increase search time. On the other hand, quadratic probing resolves collisions by using a quadratic function to calculate the next index. It provides better distribution of keys and reduces clustering, but it may result in more skipped slots and longer search times.
The performance of a hash table depends on factors like load factor, number of collisions, and the chosen probing method. Linear probing's clustering can lead to degraded performance when the load factor is high. Quadratic probing, with better key distribution, can handle higher load factors and generally offers faster retrieval times.
b. Example of linear probing: Suppose we have a hash table with slots numbered 0 to 9. When inserting keys 25, 35, and 45, the hash function results in collisions for all three keys, resulting in linear probing to find empty slots.
Example of quadratic probing: Consider the same hash table, and now we insert keys 28, 38, and 48, resulting in collisions. With quadratic probing, we use a quadratic function to calculate the next indices, reducing clustering and finding empty slots efficiently.
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