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Lære Challenge: Logging and Timing Decorators | Mastering Python Decorators
Functional Programming Concepts in Python
Sektion 4. Kapitel 8
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Challenge: Logging and Timing Decorators

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  • Add @functools.wraps(func) above each wrapper.
  • In log_calls, complete log_message to print the function name, positional arguments, and keyword arguments.
  • In time_execution, before calling the function, store the start time with time.time().
  • After calling the function, store the end time.
  • Calculate and print the execution time.
  • Print both the log and timing messages.
  • Decorator order: log_calls outer, time_execution inner.

Expected result:

When you call multiply(5, 7), the output should look like:

Calling function 'multiply' with args=(5, 7), kwargs={}
Function 'multiply' executed in X.XXXXXX seconds
35

Where X.XXXXXX is the execution time formatted to six decimal places. The function should return 35.

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Sektion 4. Kapitel 8
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