Test Faster, Fix More

 

Property based testing with Hypothesis Alexander Hultnér @ GothPy, 2019

@ahultner

Alexander Hultnér

Founder of Hultnér Technologies

 

 

@ahultner

Outline

What is property based testing? Why?

Cheatsheet, two minute abstract

Hypothesis

Usage examples

Advanced strategies

Rule state machines

Interactive demo in Jupyter

Conclusion

Questions and links

@ahultner

What & Why

  • Traditional
    • Specific examples
    • Repetition
    • Leads to "happy path testing"
  • Property based testing
    • QuickCheck
    • Test behaviour, find unexpected
    • Generate thousands of examples
    • Shrink errors
    • Detect subtle bugs
    • Compare when refactoring

@ahultner

Cheatsheet

@ahultner

Hypothesis

  • Python Library
  • http://hypothesis.works
  • Tests for regressions
  • Large library of "strategies"
    • ​(dp)contracts
    • Swagger conformance testing
    • Pandas, Numpy, Django, etc
  • Rules
    • State machines, shows steps to reproduce a bug

@ahultner

Minimal usage

Generates positional arguments x, y

Strategies ensure integers are given

 

Strategies exists for a vast number of input types, they can be inferred and passed constraints via arguments.

@ahultner

from hypothesis import given
import hypothesis.strategies as st

@given(
    st.integers(), 
    st.integers()
)
def test_ints_are_commutative(x, y):
    assert x + y == y + x

Shrinking errors

When an error is found it will be shrunk

to smallest possible example

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=== FAILURES ===
___ test_add ___

    @given(st.integers(), st.integers())
>   def test_add(a, b):

<ipython-input-35-fa7bbf382a62>:6: 
_ _ _ _ _ _ _ 

a = -1, b = 1

    @given(st.integers(), st.integers())
    def test_add(a, b):
>       assert add(a, b) == a + b
E       assert -1 == 0
E         --1
E         +0

<ipython-input-35-fa7bbf382a62>:10: AssertionError
--- Hypothesis ---
Falsifying example: test_add(a=-1, b=1)
# Buggy implementation of add
def add(a, b): 
    return a if a < 0 else a + b

Using @example

We can explicitly define input with @example.

Useful to keep track of known tricky cases

@ahultner

@given(st.integers(), st.integers())
@example(
    -1, 1
)
def test_add(a, b):
    assert add(a, b) == a + b

Strategies

  • Tuples, Lists
  • Text, Characters
  • Floats, Integers
  • Datetimes, timezones
  • Narrowing with max/min, etc
  • API Fuzzing example in docs.
  • First and third party extensions

@ahultner

Rules

With Hypothesis’s stateful testing, Hypothesis instead tries to generate not just data but entire tests.

 

Rule based state machines will allow you to define primitives from which tests are generated, gives you detailed steps taken to produce the bug, read more.

@ahultner

Demo time

I've prepared a Jupyter Notebook with a few interactive and more thorough examples.

@ahultner

Conclusion

  • Write more extensive tests faster
  • Find more bugs
  • Not a silver bullet for all testing
    but a powerful tool in your belt
  • Think about defining properties not specific examples
  • Start playing around with property-based testing!

@ahultner

Questions

Contact me if you have any further

questions.

 

 

Want to learn more?

Available for training, workshops and

consulting at your company.

@ahultner

Links

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