In general, a property based test can be formulated as:
for all (x, y, ...)
such as precondition(x, y, ...) holds
property(x, y, ...) is true
One way to look at it (which not everyone agrees with, and is more theoretical than practical) is that fuzzing is a subset of property-based testing which focuses on the property that code should never crash (segfault, throw an exception, give an internal error response code, overflow buffers, etc) regardless of input.
While we have generated rather random inputs in this article, one will often use custom generators (such as the some_object generator in the test_json5_loads example) to build up more restricted, higher level input. It's also possible to use a mechanism like hypothesis.assume to filter away certain generated input that doesn't match the desired precondition.
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In general, a property based test can be formulated as:
One way to look at it (which not everyone agrees with, and is more theoretical than practical) is that fuzzing is a subset of property-based testing which focuses on the property that code should never crash (segfault, throw an exception, give an internal error response code, overflow buffers, etc) regardless of input.
While we have generated rather random inputs in this article, one will often use custom generators (such as the
some_objectgenerator in thetest_json5_loadsexample) to build up more restricted, higher level input. It's also possible to use a mechanism like hypothesis.assume to filter away certain generated input that doesn't match the desired precondition.