Starting Out with Python (4th Edition)
4th Edition
ISBN: 9780134444321
Author: Tony Gaddis
Publisher: PEARSON
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Chapter 10.4, Problem 20CP
What two question should you ask to determine a class's responsibilities?
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Chapter 10 Solutions
Starting Out with Python (4th Edition)
Ch. 10.1 - What is an object?Ch. 10.1 - Prob. 2CPCh. 10.1 - Why is an object's internal data usually hidden...Ch. 10.1 - What are public methods? What are private methods?Ch. 10.2 - You hear someone make the following comment: "A...Ch. 10.2 - In this chapter, we use the metaphor of a cookie...Ch. 10.2 - What is the purpose of the _ _init_ _ method? When...Ch. 10.2 - Prob. 8CPCh. 10.2 - In a Python class, how do you hide an attribute...Ch. 10.2 - What is the purpose of the _ _str_ _ method?
Ch. 10.2 - Prob. 11CPCh. 10.3 - What is an instance attribute?Ch. 10.3 - Prob. 13CPCh. 10.3 - What is an accessor method? What is a mutator...Ch. 10.4 - Prob. 15CPCh. 10.4 - Prob. 16CPCh. 10.4 - When designing an object-oriented application, who...Ch. 10.4 - How do you identify the potential classes in a...Ch. 10.4 - What are a classs responsibilities?Ch. 10.4 - What two question should you ask to determine a...Ch. 10.4 - Will all of a class's action always be directly...Ch. 10 - The _______ programming practice is centered on...Ch. 10 - The ___________ programming practice is centered...Ch. 10 - A(n) _____ is a component of a class that...Ch. 10 - Prob. 4MCCh. 10 - By doing this, you can hide a classs attribute...Ch. 10 - Prob. 6MCCh. 10 - A(n) ________ method stores a value in a data...Ch. 10 - Prob. 8MCCh. 10 - If a class has a method named _ _str_ _ , which of...Ch. 10 - A set of standard diagrams for graphically...Ch. 10 - In one approach to identifying the classes in a...Ch. 10 - Prob. 12MCCh. 10 - The practice of procedural programming is centered...Ch. 10 - Object reusability has been a factor in the...Ch. 10 - It is a common practice in object-oriented...Ch. 10 - Prob. 4TFCh. 10 - Starting an attribute name with two underscores...Ch. 10 - You cannot directly call the _ _ str _ _ method.Ch. 10 - One way to find the classes needed for an...Ch. 10 - Prob. 1SACh. 10 - Why should an object's data attributes be hidden...Ch. 10 - What is the difference between a class and an...Ch. 10 - The following statement calls an object's method....Ch. 10 - Prob. 5SACh. 10 - In a Python class, how do you hide an attribute...Ch. 10 - Prob. 7SACh. 10 - Suppose my_car is the name of a variable that...Ch. 10 - Prob. 2AWCh. 10 - Look at the following description of a problem...Ch. 10 - Pet Class The Pet class Write a class named Pet,...Ch. 10 - Car Class Write a class named Car that has the...Ch. 10 - Personal Information Class Design a class that...Ch. 10 - Employee Class Write a class named Employee that...Ch. 10 - RetailItem Class Write a class named RetailItem...Ch. 10 - Patient Charges Write a class named Patient that...Ch. 10 - Employee Management System This exercise assumes...Ch. 10 - Cash Register This exercise assumes you have...Ch. 10 - Trivia Game In this programming exercise, you will...
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- Help! how do I fix my python coding question for this? (my code also provided)arrow_forwardNeed 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_forward
- Please 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_forwardWhy 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_forward
- Please 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_forwardI'm reposting my question again please make sure to avoid any copy paste from the previous answer because those answer did not satisfy or responded to the need that's why I'm asking again The knowledge distillation part is not very clear in the diagram. Please create two new diagrams by separating the two student models: First Diagram (Student A - Missing Values): Clearly illustrate the student training process. Show how knowledge distillation happens between the teacher and Student A. Explain what the teacher teaches Student A (e.g., handling missing values) and how this teaching occurs (e.g., through logits, features, or attention). Second Diagram (Student B - Missing Labels): Similarly, detail the training process for Student B. Clarify how knowledge distillation works between the teacher and Student B. Specify what the teacher teaches Student B (e.g., dealing with missing labels) and how the knowledge is transferred. Since these are two distinct challenges…arrow_forwardThe knowledge distillation part is not very clear in the diagram. Please create two new diagrams by separating the two student models: First Diagram (Student A - Missing Values): Clearly illustrate the student training process. Show how knowledge distillation happens between the teacher and Student A. Explain what the teacher teaches Student A (e.g., handling missing values) and how this teaching occurs (e.g., through logits, features, or attention). Second Diagram (Student B - Missing Labels): Similarly, detail the training process for Student B. Clarify how knowledge distillation works between the teacher and Student B. Specify what the teacher teaches Student B (e.g., dealing with missing labels) and how the knowledge is transferred. Since these are two distinct challenges (missing values vs. missing labels), they should not be combined in the same diagram. Instead, create two separate diagrams for clarity. For reference, I will attach a second image…arrow_forward
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