Write a function that outputs **your name** just as the example function outputs **my name**.


# Define the function `say_my_name`
def say_my_name():
    # The function prints the string `My name is Heisenberg`
    print('My name is Heisenberg')

# Call the function `say_my_name`
say_my_name()

The `say_my_name` function **prints** the phrase `'My name is Heisenberg'` to the screen. You can **call this function** to display the output.


import unittest
import importlib
import io
import re
from contextlib import redirect_stdout
  
def _dynamic_test(test_case, condition, success_message, failure_message):
    if condition:
        test_case._testMethodName = success_message
        test_case.assertTrue(True, success_message)
    else:
        test_case._testMethodName = failure_message
        test_case.fail(failure_message)

class TestUserCode(unittest.TestCase):
    
    def test_print_name_is_defined(self):
        """Checks that the `print_name` function is defined"""
        import user_code
        _dynamic_test(
            self,
            hasattr(user_code, 'print_name'),
            "The function `print_name` is defined in the code.",
            "Expected the function `print_name` to be defined, but it was not found."
        )

    def test_function_print_name_output(self):
      """Checks that `print_name` outputs the correct text"""
      import user_code
      expected_output = "My name is {your name}"
  
      try:
          f = io.StringIO()
          with redirect_stdout(f):
              user_code.print_name()
          output = f.getvalue().strip()
          condition = re.fullmatch(r"\s*My\s+name\s+is\s+.+\s*", output)
          failure_message = f"Expected output `{expected_output}`, but got `{output}`."
      except AttributeError:
          condition = False
          failure_message = "The function `print_name` is not defined, making it impossible to verify the output."

      _dynamic_test(self, condition, "The function `print_name` functions correctly.", failure_message)
    
if __name__ == '__main__':
    unittest.main()

test_main.py

Gain a solid understanding of how functions shape Python programming. Master defining and calling functions, working with arguments, handling return values, and creating flexible, efficient code using recursion and lambda expressions.

Explore what functions are and why they're essential in Python. Learn how to create functions, define arguments, handle return values, and use built-in functions effectively.

Learn how positional and optional arguments work in Python. Build adaptable functions that handle different inputs and improve flexibility in your code.

Understand how to work with arbitrary and keyword arguments to handle variable input sizes. Learn how these techniques make your functions more dynamic and organized.

Discover how return values represent a function's output. Learn to return single or multiple values, use None, and explore generators for more advanced data flow control.

Unlock advanced function concepts with recursion and lambda functions. Learn how recursion solves repetitive problems and how lambda expressions create concise, one-line functions.

Challenge: Building Functions

Challenge: Building Functions

Solution