The interview began with a brief introduction, followed by three technical questions: designing a fitness tracking class, validating password proximity errors, and exploring problem-solving strategies.

The session concluded with a Q&A segment.

Q1: Class Definition

Write a Python class MyFitness that includes two public methods: add_food(username, kind_of_food, amount) Parameters: username: A string representing the user's name. kind_of_food: Can be either "protein", "fat", or "carbs". amount: The quantity of the specified food in grams.

The method calculates the calories based on the type of food added: Protein: 1 gram = 40 calories Fat: 1 gram = 70 calories Carbohydrates: 1 gram = 140 calories The method updates the user's calorie and macro information. show_information()

This method displays the current food intake information for all users in JSON format. Example output: json Copy code [ {"username": "user1", "protein": 140, "fat": 150, "carbs": 170, "calories": 300}, {"username": "user2", "protein": 150, "fat": 150, "carbs": 70, "calories": 290} ]

Q2: Password Validation Function

Write a boolean function is_password_valid(passfromDb, passfromWeb) that checks whether the password entered via the web (passfromWeb) can be accepted based on the following condition:

The passwords must be exactly the same except for one character. The mistake in the web password can only occur if the character in passfromWeb is a neighboring key to the corresponding character in passfromDb on a standard QWERTY keyboard. Example:

python Copy code passfromDb = "absd" passfromWeb = "ansd" In this case, the function would return True because 'n' is a neighboring key to 'b' on the keyboard.