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# Mocking Functions

## Preliminaries

```
import unittest
import mock
from math import exp
```

## The Scenario

Imagine we have a function that takes in some external API or database and we want to test that function, but with fake (or mocked) inputs. The Python `mock`

library lets us do that.

For this tutorial pretend that `math.exp`

is some expensive operation (e.g. database query, API call, etc) that costs \$10,000 every time we use it. To test it without paying \$10,000, we can create `mock_function`

which imitates the behavior of `math.exp`

and allows us to test it.

## Create The Mock Function

```
# Create a function,
def mock_function(x):
# That returns a string.
return 'This is not exp, but rather mock_function.'
```

## Create A Unit Test

```
# Create a test case,
class TestRandom(unittest.TestCase):
# where math.exp (__main__.exp is because we imported the exp module from math)
# math.exp is mocked (replaced) by mock_function,
@mock.patch('__main__.exp', side_effect=mock_function)
# now create a unit test that would only be true IF the exp(4) was being mocked
# (so we can prove that math.exp is actually being mocked)
def test_math_exp(self, mock_function):
# assert that math.exp(4) is actually a string, which would only be the case
# if math.exp was being mocked by mock_function
assert exp(4) == 'This is not exp, but rather mock_function.'
```

## Run Unit Test

`unittest.main(argv=['ignored', '-v'], exit=False)`

```
test_math_exp (__main__.TestRandom) ... ok
----------------------------------------------------------------------
Ran 1 test in 0.002s
OK
<unittest.main.TestProgram at 0x104945358>
```