Grouping Parametrized Benchmarks With Pytest
I'm currently benchmarking an implementation of an AVL Tree I made against a non-rebalancing binary search tree using pytest-benchmark. It seems to be working well for me so far b
Solution 1:
There was a useful comment saying that the master branch of pytest is in the process of supporting this exact feature, but I was unable to get it to work (fingers crossed for next release).
In the meantime, I figured out this handy work around. I'm able to group by case
, but not by (case,n)
with this method. I added a @benchmark_this
decorator above each test case to wrap the benchmark
call. It's pretty handy even without the extra benefit of grouping by test case!
defbenchmark_this(test):
defwrapper(benchmark, t, n):
benchmark(test, None, t, n)
return wrapper
types = [BaseTree, AvlTree]
sizes = [100,300,1000]
@pytest.mark.parametrize('t', types)@pytest.mark.parametrize('n', sizes)@benchmark_thisdeftest_insertRandomOrder(benchmark, t, n):
random.seed(0x1C2C6D66)
tree = t()
for i inrange(n):
tree.insert(random.randint(0, 0x7FFFFFFF), i)
@pytest.mark.parametrize('t', types)@pytest.mark.parametrize('n', sizes)@benchmark_thisdeftest_insertDescendingOrder(benchmark, t, n):
tree = t()
for i inrange(n):
tree.insert(n-i, i)
# ...
Invoked with
py.test --benchmark-group-by=func
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