## Doctest Structure

A __Python__ doctest is written in the style of a comment, with three quotation marks in a row - """, at the top and bottom.

Doctests are sometimes written with an example of the function and the anticipated output, but it may be desirable to include a remark on what the function is supposed to perform as well. Including a remark ensures that you, as the programmer, have refined your objectives and that anyone viewing the code in the future knows it thoroughly.

Also read, __Python filename extensions__

## Incorporating a Doctest into a Function

Doctests are placed within a function after the def statement and before the function code. Because this comes after the initial definition of the function, it will be indented according to Python PEP 8 guidelines.

## Example

Let's say we need to compute the factorial of a number and write the unit tests for the program written. We will use the doctest module in Python, as shown below, for testing the program.

### Code

```
# Importing the module
import doctest
# Function to calculate the factorial of a number
def calc_factorial(num):
"""
This function returns the factorial of a number
Shell commands for testing
Invoking the function followed by expected output:
>>> calc_factorial(5)
120
>>> calc_factorial(4)
24
"""
if num <=1:
return 1
return num*calc_factorial(num-1)
# Invoking the testmod function
if __name__ == '__main__':
doctest.testmod(name='calc_factorial', verbose=True)
```

### Output

```
Trying:
calc_factorial(5)
Expecting:
120
ok
Trying:
calc_factorial(4)
Expecting:
24
ok
1 items had no tests:
calc_factorial
1 items passed all tests:
2 tests in calc_factorial.calc_factorial
2 tests in 2 items.
2 passed and 0 failed.
Test passed.
```

ed.

You can compile it with online python compiler.

Above is an example of a passed test case since all the user inputs provided the desired output as specified in the docstring.

Now, let us see a test case failure. We will not change the program logic but change the expected outcome; you can do any.

### Code

```
# Importing the module
import doctest
# Function to calculate the factorial of a number
def calc_factorial(num):
"""
This function returns the factorial of a number
Shell commands for testing
Invoking the function followed by expected output:
>>> calc_factorial(5)
120
>>> calc_factorial(4)
4
"""
if num <=1:
return 1
return num*calc_factorial(num-1)
# Invoking the testmod function
if __name__ == '__main__':
doctest.testmod(name='calc_factorial', verbose=True)
```

### Output

```
Trying:
calc_factorial(5)
Expecting:
120
ok
Trying:
calc_factorial(4)
Expecting:
4
**********************************************************************
File "main.py", line 12, in calc_factorial.calc_factorial
Failed example:
calc_factorial(4)
Expected:
4
Got:
24
1 items had no tests:
calc_factorial
**********************************************************************
1 items had failures:
1 of 2 in calc_factorial.calc_factorial
2 tests in 2 items.
1 passed and 1 failed.
***Test Failed*** 1 failures.
```

The doctest returns a test failure when the program output doesn't match the expected output specified in the function's docstring.

“Also See, __Python Round Function__”

**Frequently Asked Questions**

**What are docstrings in Python?**

The string literals that show directly after defining a function, method, class, or module in Python are known as docstrings.

**How can we run doctest from the command line?**

Using the -m option to the interpreter, run the tests using doctest as the main application.

**Why should we use doctest?**

When you need to give your script to a researcher who isn't a programmer, doctests come in handy. Some people struggle to comprehend how unit tests are constructed; conversely, doctests are straightforward examples of usage that can be copied and pasted to demonstrate how to use them.

**What is the best way to run all of the Python doctests?**

When you right-click a blank spot in the python code, a menu option appears that allows you to run all of the doctests in the file, not just the tests for a single function.

## Conclusion

This article extensively discusses using doctest in __Python__. We learned to create a doctest enabled function that tests the function's output with the expected outcomes.

We hope this blog has helped you enhance your knowledge regarding testing with doctest in Python. If you would like to learn more, check out our articles on __Python__ or its __application__ at __Code studio__. Do upvote our blog to help other ninjas grow. Happy Coding!