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test_microbench.py
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"""
These are not real tests, but microbenchmarks. The machinery to record the
timing and display the results is inside conftest.py
"""
import pytest
import _valgrind
API_PARAMS = [
pytest.param('cpy', marks=pytest.mark.cpy),
pytest.param('hpy', marks=pytest.mark.hpy)
]
@pytest.fixture(params=API_PARAMS)
def api(request):
return request.param
@pytest.fixture
def simple(request, api):
if api == 'cpy':
import cpy_simple
return cpy_simple
elif api == 'hpy':
import hpy_simple
return hpy_simple
else:
assert False, 'Unkown param: %s' % request.param
@pytest.fixture
def N(request):
n = 10000000
if request.config.option.fast:
n //= 100
if request.config.option.slow:
n *= 10
if _valgrind.lib.is_running_on_valgrind():
n //= 100
return n
class TestModule:
def test_noargs(self, simple, timer, N):
with timer:
for i in range(N):
simple.noargs()
def test_onearg_None(self, simple, timer, N):
with timer:
for i in range(N):
simple.onearg(None)
def test_onearg_int(self, simple, timer, N):
with timer:
for i in range(N):
simple.onearg(i)
def test_varargs(self, simple, timer, N):
with timer:
for i in range(N):
simple.varargs(None, None)
def test_call_with_tuple(self, simple, timer, N):
def f(a, b):
return a + b
with timer:
for i in range(N):
simple.call_with_tuple(f, (1, 2))
def test_call_with_tuple_and_dict(self, simple, timer, N):
def f(a, b):
return a + b
with timer:
for i in range(N):
simple.call_with_tuple_and_dict(f, (1,), {"b": 2})
def test_allocate_int(self, simple, timer, N):
with timer:
for i in range(N):
simple.allocate_int()
def test_allocate_tuple(self, api, simple, timer, N):
if api == 'hpy':
pytest.skip('Missing HPy_BuildValue')
with timer:
for i in range(N):
simple.allocate_tuple()
class TestType:
""" Compares the performance of operations on types.
The kinds of type used are:
* cpy: a static type
* hpy: a heap type (HPy only has heap types)
The type is named `simple.Foo` in both cases.
"""
def test_method_lookup(self, simple, timer, N):
obj = simple.Foo()
with timer:
for i in range(N):
# note: here we are NOT calling it, we want to measure just
# the lookup
obj.noargs
def test_noargs(self, simple, timer, N):
obj = simple.Foo()
with timer:
for i in range(N):
obj.noargs()
def test_onearg_None(self, simple, timer, N):
obj = simple.Foo()
with timer:
for i in range(N):
obj.onearg(None)
def test_onearg_int(self, simple, timer, N):
obj = simple.Foo()
with timer:
for i in range(N):
obj.onearg(i)
def test_varargs(self, simple, timer, N):
obj = simple.Foo()
with timer:
for i in range(N):
obj.varargs(None, None)
def test_len(self, simple, timer, N):
obj = simple.Foo()
with timer:
for i in range(N):
len(obj)
def test_getitem(self, simple, timer, N):
obj = simple.Foo()
with timer:
for i in range(N):
obj[0]
class TestHeapType:
""" Compares the performance of operations on heap types.
The type is named `simple.HTFoo` and is a heap type in all cases.
"""
def test_method_lookup(self, simple, timer, N):
obj = simple.HTFoo()
with timer:
for i in range(N):
# note: here we are NOT calling it, we want to measure just
# the lookup
obj.noargs
def test_noargs(self, simple, timer, N):
obj = simple.HTFoo()
with timer:
for i in range(N):
obj.noargs()
def test_onearg_None(self, simple, timer, N):
obj = simple.HTFoo()
with timer:
for i in range(N):
obj.onearg(None)
def test_onearg_int(self, simple, timer, N):
obj = simple.HTFoo()
with timer:
for i in range(N):
obj.onearg(i)
def test_varargs(self, simple, timer, N):
obj = simple.HTFoo()
with timer:
for i in range(N):
obj.varargs(None, None)
def test_len(self, simple, timer, N):
obj = simple.HTFoo()
with timer:
for i in range(N):
len(obj)
def test_getitem(self, simple, timer, N):
obj = simple.HTFoo()
with timer:
for i in range(N):
obj[0]