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Challenge: Flexible Type Validation Decorator | Decorators
Mastering Python: Closures and Decorators
course content

Course Content

Mastering Python: Closures and Decorators

Challenge: Flexible Type Validation Decorator

Task

Create a flexible decorator for validating data types:

  1. Define the validate decorator, which should take data types (str, int, bool, etc.) as arguments and annotate them using the type keyword.
  2. Define the inner function that takes a function (func) as an argument.
  3. Define the wrapper function that takes *args.
  4. Check if each argument is an instance of one of the specified types.
  5. Functions should return:
  • The wrapper() should return the result of func() with the provided arguments.
  • The inner() should return wrapper without calling it.
  • The validate() should return inner() without calling it.
  1. Validate the snake_string() function for the str data type using the @validate decorator.
  2. Validate the multiply() function for the int or float data types using the @validate decorator.

Task

Create a flexible decorator for validating data types:

  1. Define the validate decorator, which should take data types (str, int, bool, etc.) as arguments and annotate them using the type keyword.
  2. Define the inner function that takes a function (func) as an argument.
  3. Define the wrapper function that takes *args.
  4. Check if each argument is an instance of one of the specified types.
  5. Functions should return:
  • The wrapper() should return the result of func() with the provided arguments.
  • The inner() should return wrapper without calling it.
  • The validate() should return inner() without calling it.
  1. Validate the snake_string() function for the str data type using the @validate decorator.
  2. Validate the multiply() function for the int or float data types using the @validate decorator.

Everything was clear?

Section 3. Chapter 6
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Challenge: Flexible Type Validation Decorator

Task

Create a flexible decorator for validating data types:

  1. Define the validate decorator, which should take data types (str, int, bool, etc.) as arguments and annotate them using the type keyword.
  2. Define the inner function that takes a function (func) as an argument.
  3. Define the wrapper function that takes *args.
  4. Check if each argument is an instance of one of the specified types.
  5. Functions should return:
  • The wrapper() should return the result of func() with the provided arguments.
  • The inner() should return wrapper without calling it.
  • The validate() should return inner() without calling it.
  1. Validate the snake_string() function for the str data type using the @validate decorator.
  2. Validate the multiply() function for the int or float data types using the @validate decorator.

Task

Create a flexible decorator for validating data types:

  1. Define the validate decorator, which should take data types (str, int, bool, etc.) as arguments and annotate them using the type keyword.
  2. Define the inner function that takes a function (func) as an argument.
  3. Define the wrapper function that takes *args.
  4. Check if each argument is an instance of one of the specified types.
  5. Functions should return:
  • The wrapper() should return the result of func() with the provided arguments.
  • The inner() should return wrapper without calling it.
  • The validate() should return inner() without calling it.
  1. Validate the snake_string() function for the str data type using the @validate decorator.
  2. Validate the multiply() function for the int or float data types using the @validate decorator.

Everything was clear?

Section 3. Chapter 6
toggle bottom row

Challenge: Flexible Type Validation Decorator

Task

Create a flexible decorator for validating data types:

  1. Define the validate decorator, which should take data types (str, int, bool, etc.) as arguments and annotate them using the type keyword.
  2. Define the inner function that takes a function (func) as an argument.
  3. Define the wrapper function that takes *args.
  4. Check if each argument is an instance of one of the specified types.
  5. Functions should return:
  • The wrapper() should return the result of func() with the provided arguments.
  • The inner() should return wrapper without calling it.
  • The validate() should return inner() without calling it.
  1. Validate the snake_string() function for the str data type using the @validate decorator.
  2. Validate the multiply() function for the int or float data types using the @validate decorator.

Task

Create a flexible decorator for validating data types:

  1. Define the validate decorator, which should take data types (str, int, bool, etc.) as arguments and annotate them using the type keyword.
  2. Define the inner function that takes a function (func) as an argument.
  3. Define the wrapper function that takes *args.
  4. Check if each argument is an instance of one of the specified types.
  5. Functions should return:
  • The wrapper() should return the result of func() with the provided arguments.
  • The inner() should return wrapper without calling it.
  • The validate() should return inner() without calling it.
  1. Validate the snake_string() function for the str data type using the @validate decorator.
  2. Validate the multiply() function for the int or float data types using the @validate decorator.

Everything was clear?

Task

Create a flexible decorator for validating data types:

  1. Define the validate decorator, which should take data types (str, int, bool, etc.) as arguments and annotate them using the type keyword.
  2. Define the inner function that takes a function (func) as an argument.
  3. Define the wrapper function that takes *args.
  4. Check if each argument is an instance of one of the specified types.
  5. Functions should return:
  • The wrapper() should return the result of func() with the provided arguments.
  • The inner() should return wrapper without calling it.
  • The validate() should return inner() without calling it.
  1. Validate the snake_string() function for the str data type using the @validate decorator.
  2. Validate the multiply() function for the int or float data types using the @validate decorator.

Section 3. Chapter 6
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