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Categories / Computer Science & IT / Python Programing / python-programing - Part 75

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python-programing - Part 75

Question 1 of 25 Hints left: 3

Q1

How do you create a decorator that takes arguments?

A Using the @decorator syntax
B By using the @decorator(arg) syntax
C By using the @decorator() syntax
D By using the decorator(arg) function

Q2

How can you remove a decorator from a function in Python?

A By deleting the decorator's code
B By using the @remove_decorator syntax
C By using the @decorator syntax again
D By calling the remove_decorator() function

Q3

How is an asynchronous generator defined in Python?

A Using the async yield keyword
B Using the async generator keyword
C Using the async def keyword with yield
D Using the async keyword with a regular generator

Q4

How is a decorator applied to a class method in Python?

A By using the @decorator syntax above the class
B By using the @decorator syntax above the method
C By applying the decorator within the method
D By using the apply_decorator() function

Q5

How does the order of applying multiple decorators matter?

A It doesn't matter
B It depends on the number of decorators
C It affects the order of execution
D It changes the function's return value

Q6

What is the purpose of the @lru_cache decorator in Python?

A To limit the number of decorator applications
B To cache the last used decorator
C To cache function results with a limited size
D To cache only class methods

Q7

What is the primary purpose of using decorators?

A To reduce code complexity
B To replace existing functions
C To add functionalities to functions
D To remove functionalities from functions

Q8

What is the purpose of the @property decorator in Python?

A To define a setter method for a class attribute
B To define a getter method for a class attribute
C To add properties to classes
D To define methods for instance attributes

Q9

What are decorators in Python?

A Design patterns
B Functions that add functionality to other functions
C Programming languages
D Built-in Python modules

Q10

What is the purpose of the @abstractmethod decorator in Python?

A To create abstract classes
B To prevent method overriding
C To indicate that a method must be overridden in subclasses
D To define a method as static

Q11

What is the difference between a class-based decorator and a function-based decorator?

A Class-based decorators use fewer resources
B Class-based decorators can't accept arguments
C Function-based decorators are more flexible
D Function-based decorators are slower

Q12

How is a decorator defined in Python?

A Using the @decorator syntax
B By calling the decorator() function
C Using the def keyword
D Using the modify() keyword

Q13

What is a memoization decorator used for?

A To add logging to functions
B To modify function behavior
C To cache function results
D To validate function inputs

Q14

What is the role of the @staticmethod decorator in Python?

A To define static variables
B To make a method callable without an instance
C To add static typing to variables
D To prevent method overriding

Q15

What is a higher-order function in the context of decorators?

A A function that returns a function
B A function that takes a function as an argument
C A function that only contains decorators
D A function with multiple return statements

Q16

What is a common use case of decorators?

A Replacing built-in functions
B Adding logging or authentication to functions
C Removing error handling from functions
D Changing the function's name

Q17

What is the purpose of the @classmethod decorator in Python?

A To define a class method
B To define an instance method
C To define a static method
D To define a constructor method

Q18

What is the purpose of the property decorator in Python?

A To add properties to classes
B To remove properties from classes
C To define a getter method for a class attribute
D To define a setter method for a class attribute

Q19

What is the purpose of the functools.partial function in decorators?

A To create a partial function
B To replace built-in functions
C To preserve the original function's metadata
D To modify the decorator's behavior

Q20

How does the @contextmanager decorator facilitate context management?

A By creating context managers automatically
B By adding new context to existing managers
C By wrapping functions with context management behavior
D By removing context from code

Q21

What is the purpose of the functools.wraps() function in decorators?

A To create a new function
B To modify the decorator's behavior
C To preserve the original function's metadata
D To remove a decorator

Q22

How does the @classmethod decorator differ from @staticmethod?

A @classmethod can't access class attributes
B @staticmethod can't access instance attributes
C @classmethod can access class attributes
D @staticmethod can access instance attributes

Q23

How do you create a custom decorator in Python?

A By modifying the built-in decorators
B By using the @custom_decorator syntax
C By importing decorators from external libraries
D By defining a function and using the @ symbol

Q24

How is the @classmethod decorator applied to a method in a class?

A Using the @classmethod syntax above the class
B Using the @classmethod syntax above the method
C Using the @classmethod decorator within the method
D By using the apply_classmethod() function

Q25

How can you pass arguments to a decorator in Python?

A By modifying the decorator's code
B By using the @decorator syntax
C By defining arguments within the function
D By using the args keyword

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