a)
“abstract” class:
An abstract class is a class which may or may not include abstract methods and cannot be instantiated but rather it can be sub classed.
Legal “abstract” class:
- The conditions for a class to be considered as legal abstract class are mentioned below:
- If a class includes abstract methods, then the class must be declared as abstract.
- The abstract method that is declared within the abstract class must be declared without braces and followed by a semicolon.
Example of a Legal “abstract” class:
The example of a legal abstract class is mentioned below:
public abstract class GraphicRectangle {
//declare fields
//declare methods
abstract void drawRectangle();
}
Given code:
//class definition
class A {
//declaration of an abstract method
abstract void unfinished() {
}
//end of class
}
b)
“abstract” class:
An abstract class is a class which may or may not include abstract methods and cannot be instantiated but rather can be sub classed.
Legal “abstract” class:
The conditions for a class to be considered as legal abstract class are mentioned below:
- If a class includes abstract methods, then the class must be declared as abstract.
- The abstract method that is declared within the abstract class must be declared without braces and followed by a semicolon.
Example of a Legal “abstract” class:
The example of a legal abstract class is mentioned below:
public abstract class GraphicRectangle {
//declare fields
//declare methods
abstract void drawRectangle();
}
Given code:
//class definition
public class abstract A {
//declaration of an abstract method
abstract void unfinished();
//end of class
}
c)
“abstract” class:
An abstract class is a class which may or may not include abstract methods and cannot be instantiated but rather can be sub classed.
Legal “abstract” class:
The conditions for a class to be considered as legal abstract class are mentioned below:
- If a class includes abstract methods, then the class must be declared as abstract.
- The abstract method that is declared within the abstract class must be declared without braces and followed by a semicolon.
Example of a Legal “abstract” class:
The example of a legal abstract class is mentioned below:
public abstract class GraphicRectangle {
//declare fields
//declare methods
abstract void drawRectangle();
}
Given code:
//class definition
class A {
//declaration of an abstract method
abstract void unfinished();
//end of class
}
d)
“abstract” class:
An abstract class is a class which may or may not include abstract methods and cannot be instantiated but rather can be sub classed.
Legal “abstract” class:
The conditions for a class to be considered as legal abstract class are mentioned below:
- If a class includes abstract methods, then the class must be declared as abstract.
- The abstract method that is declared within the abstract class must be declared without braces and followed by a semicolon.
Example of a Legal “abstract” class:
The example of a legal abstract class is mentioned below:
public abstract class GraphicRectangle {
//declare fields
//declare methods
abstract void drawRectangle();
}
Given code:
//class definition
abstract class A {
//declaration of a protected method
protected void unfinished();
//end of class
}
e)
“abstract” class:
An abstract class is a class which may or may not include abstract methods and cannot be instantiated but rather can be sub classed.
Legal “abstract” class:
The conditions for a class to be considered as legal abstract class are mentioned below:
- If a class includes abstract methods, then the class must be declared as abstract.
- The abstract method that is declared within the abstract class must be declared without braces and followed by a semicolon.
Example of a Legal “abstract” class:
The example of a legal abstract class is mentioned below:
public abstract class GraphicRectangle {
//declare fields
//declare methods
abstract void drawRectangle();
}
Given code:
//class definition
abstract class A {
//declaration of an abstract method
abstract void unfinished();
//end of class
}
f)
“abstract” class:
An abstract class is a class which may or may not include abstract methods and cannot be instantiated but rather can be sub classed.
Legal “abstract” class:
The conditions for a class to be considered as legal abstract class are mentioned below:
- If a class includes abstract methods, then the class must be declared as abstract.
- The abstract method that is declared within the abstract class must be declared without braces and followed by a semicolon.
Example of a Legal “abstract” class:
The example of a legal abstract class is mentioned below:
public abstract class GraphicRectangle {
//declare fields
//declare methods
abstract void drawRectangle();
}
Given code:
//class definition
abstract class A {
//declaration of an abstract method
abstract int unfinished();
//end of class
}
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Chapter 13 Solutions
Introduction to Java Programming and Data Structures, Comprehensive Version Plus MyProgrammingLab with Pearson EText -- Access Card Package
- Need help with coding in this in python!arrow_forwardIn the diagram, there is a green arrow pointing from Input C (complete data) to Transformer Encoder S_B, which I don’t understand. The teacher model is trained on full data, but S_B should instead receive missing data—this arrow should not point there. Please verify and recreate the diagram to fix this issue. Additionally, the newly created diagram should meet the same clarity standards as the second diagram (Proposed MSCATN). Finally provide the output image of the diagram in image format .arrow_forwardPlease provide me with the output image of both of them . below are the diagrams code make sure to update the code and mentionned clearly each section also the digram should be clearly describe like in the attached image. please do not provide the same answer like in other question . I repost this question because it does not satisfy the requirment I need in terms of clarifty the output of both code are not very well details I have two diagram : first diagram code graph LR subgraph Teacher Model (Pretrained) Input_Teacher[Input C (Complete Data)] --> Teacher_Encoder[Transformer Encoder T] Teacher_Encoder --> Teacher_Prediction[Teacher Prediction y_T] Teacher_Encoder --> Teacher_Features[Internal Features F_T] end subgraph Student_A_Model[Student Model A (Handles Missing Values)] Input_Student_A[Input M (Data with Missing Values)] --> Student_A_Encoder[Transformer Encoder E_A] Student_A_Encoder --> Student_A_Prediction[Student A Prediction y_A] Student_A_Encoder…arrow_forward
- Why I need ?arrow_forwardHere are two diagrams. Make them very explicit, similar to Example Diagram 3 (the Architecture of MSCTNN). graph LR subgraph Teacher_Model_B [Teacher Model (Pretrained)] Input_Teacher_B[Input C (Complete Data)] --> Teacher_Encoder_B[Transformer Encoder T] Teacher_Encoder_B --> Teacher_Prediction_B[Teacher Prediction y_T] Teacher_Encoder_B --> Teacher_Features_B[Internal Features F_T] end subgraph Student_B_Model [Student Model B (Handles Missing Labels)] Input_Student_B[Input C (Complete Data)] --> Student_B_Encoder[Transformer Encoder E_B] Student_B_Encoder --> Student_B_Prediction[Student B Prediction y_B] end subgraph Knowledge_Distillation_B [Knowledge Distillation (Student B)] Teacher_Prediction_B -- Logits Distillation Loss (L_logits_B) --> Total_Loss_B Teacher_Features_B -- Feature Alignment Loss (L_feature_B) --> Total_Loss_B Partial_Labels_B[Partial Labels y_p] -- Prediction Loss (L_pred_B) --> Total_Loss_B Total_Loss_B -- Backpropagation -->…arrow_forwardPlease provide me with the output image of both of them . below are the diagrams code I have two diagram : first diagram code graph LR subgraph Teacher Model (Pretrained) Input_Teacher[Input C (Complete Data)] --> Teacher_Encoder[Transformer Encoder T] Teacher_Encoder --> Teacher_Prediction[Teacher Prediction y_T] Teacher_Encoder --> Teacher_Features[Internal Features F_T] end subgraph Student_A_Model[Student Model A (Handles Missing Values)] Input_Student_A[Input M (Data with Missing Values)] --> Student_A_Encoder[Transformer Encoder E_A] Student_A_Encoder --> Student_A_Prediction[Student A Prediction y_A] Student_A_Encoder --> Student_A_Features[Student A Features F_A] end subgraph Knowledge_Distillation_A [Knowledge Distillation (Student A)] Teacher_Prediction -- Logits Distillation Loss (L_logits_A) --> Total_Loss_A Teacher_Features -- Feature Alignment Loss (L_feature_A) --> Total_Loss_A Ground_Truth_A[Ground Truth y_gt] -- Prediction Loss (L_pred_A)…arrow_forward
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