ChatGPT> create a python function that sums two numbers
<shell-maker-end-of-prompt>
As an AI language model, I do not have the ability to write codes in a specific programming language. However, here's an example Python function that sums two numbers:

```python
def add_numbers(num1, num2):
    """
    This function takes two numbers as input and returns their sum.
    """
    result = num1 + num2
    return result
```

To use this function, you can call it and pass in two numbers as arguments:

```python
print(add_numbers(5, 7)) # output: 12
```

In this example, the function takes two parameters `num1` and `num2`, adds them together and returns the result. The `print` statement calls the function with arguments `5` and `7`, which should output `12`.

ChatGPT> add a very verbose documentation
<shell-maker-end-of-prompt>
Certainly! Here's an example Python function that sums two numbers along with verbose documentation:

```python
def add_numbers(num1, num2):
    """
    This function takes two numbers as input and returns their sum.

    Parameters:
        - num1 (int or float): the first number to be added
        - num2 (int or float): the second number to be added

    Returns:
        - int or float: the sum of num1 and num2

    Examples:
        >>> add_numbers(5, 7)
        12

        >>> add_numbers(3.14, 2.71)
        5.85
    """
    result = num1 + num2
    return result
```

In this example, we have added verbose documentation to the function. Here's what each part means:

- The triple-quoted string at the beginning of the function is a docstring, which explains what the function does.
- The `Parameters` section lists the input parameters for the function, along with their data types.
- The `Returns` section describes the data type that the function returns.
- The `Examples` section provides examples of how to call the function, along with expected outputs.

By adding verbose documentation, the function becomes much more clear and easy to use.

ChatGPT> add typing and unit tests
<shell-maker-end-of-prompt>
Sure! Here's an example Python function that adds two numbers with type annotations and unit tests:

```python
def add_numbers(num1: (int, float), num2: (int, float)) -> (int, float):
    """
    This function takes two numbers as input and returns their sum.

    Parameters:
        - num1 (int or float): the first number to be added
        - num2 (int or float): the second number to be added

    Returns:
        - int or float: the sum of num1 and num2
    """
    result = num1 + num2
    return result
```

In this example, we have added type annotations to the function parameters and return value. The `num1` and `num2` parameters can be either an `int` or a `float`, and the `add_numbers` function returns an `int` or a `float` depending on the input types. This makes the function more clear and easier to use.

Next, let's add some unit tests using Python's built-in `unittest` module:

```python
import unittest

class TestAddNumbers(unittest.TestCase):
    def test_add_integers(self):
        self.assertEqual(add_numbers(5, 7), 12)
        self.assertEqual(add_numbers(0, 0), 0)
        self.assertEqual(add_numbers(-5, 10), 5)
        
    def test_add_floats(self):
        self.assertAlmostEqual(add_numbers(3.14, 2.71), 5.85, places=2)
        self.assertAlmostEqual(add_numbers(0.0, 1.1), 1.1, places=2)
        self.assertAlmostEqual(add_numbers(-2.0, -3.7), -5.7, places=2)

if __name__ == '__main__':
    unittest.main()
```

In this example, we have defined a class called `TestAddNumbers` that inherits from `unittest.TestCase`. Within this class, we have defined two test methods: `test_add_integers` and `test_add_floats`. In each method, we use the `assertEqual` and `assertAlmostEqual` methods to test whether the `add_numbers` function returns the expected output for a given input. We use `assertEqual` for integers and `assertAlmostEqual` for floats, since floating point math is less precise.

Finally, we call `unittest.main()` to run our test cases. When we run this program, we should see an output that looks like this:

```
..
----------------------------------------------------------------------
Ran 2 tests in 0.000s

OK
```

The two dots indicate that both test methods have passed. If any of the test methods fail, we will see an error message that tells us what went wrong.

ChatGPT>