I have a generator using python Hypothesis like the following:
@st.composite
def generate_network_fault_only(draw):
fault = {
"impaired": st.just(True), # need to detect if all faults are None to switch this back.
"limit": draw(NetworkFaultGen.generate_limit()),
"delay": draw(NetworkFaultGen.generate_delay()),
"loss_random": draw(NetworkFaultGen.generate_loss_random()),
"corrupt": draw(NetworkFaultGen.generate_corrupt()),
"duplicate": draw(NetworkFaultGen.generate_duplicate()),
"reorder": draw(NetworkFaultGen.generate_reorder()),
"rate": draw(NetworkFaultGen.generate_rate())
}
return draw(st.fixed_dictionaries(fault))
Each of the functions above returns something like:
@st.composite
def generate_reorder(draw):
"""
This must only happen if delay is applied
"""
return st.one_of(st.fixed_dictionaries(
{"percent": st.integers(min_value=0, max_value=100),
"correlation": st.integers(min_value=0, max_value=100),
"distance": st.integers(min_value=0)}),st.none())
I have a dependency between the reorder
value and the delay
value in that reorder can only be specified if delay is not None
.
I am not sure how to accomplish this. Filtering seems to run into performance issues. And at this point in the code the delay
value isnt a concrete value yet.