def test_on_all_class_methods_without_decorator(self):
with capture_stdout_and_stderr() as out:
cls = ExpensiveClass4()
do_profile(follow=[cls._get_number4])(cls.expensive_method4)()
results = _extract_do_profile_results(out[0])
print(results)
msg = str(results)
assert len(results) > 0, msg
assert results[0] == FIRST_LINE, msg
assert results[1][5].strip() == 'def expensive_method4(self):', msg
assert results[2][5].strip() == 'for x in self._get_number4():', msg
assert results[2][1] == 5001, msg
assert results[2][2] > 10, msg
assert results[5] == FIRST_LINE, msg
assert results[6][5].strip() == 'def _get_number4(self):', msg
def profile_hessian(n_values=(4, 8, 16, 32, 64, 96)):
for n in n_values:
f = BenchmarkFunction(n)
step = nd.step_generators.one_step
cls = nd.Hessian(f, step=step, method='central')
follow = [cls._derivative_nonzero_order,
cls._apply_fd_rule,
cls._get_finite_difference_rule,
cls._vstack,
cls._central_even]
# cls = nds.Hessian(f, step=None, method='central')
# follow = [cls._derivative_nonzero_order, ]
x = 3 * np.ones(n)
do_profile(follow=follow)(cls)(x)
def main0():
for n in 4, 8, 16, 32, 64, 96:
f = BenchmarkFunction(n)
cls = nd.Jacobian(f, method='central')
function = do_profile(follow=[cls._derivative_nonzero_order,
cls._apply_fd_rule,
cls._get_finite_difference_rule,
cls._vstack])(cls)
x = 3 * np.ones(n)
val = function(x)
def test_on_all_class_methods_without_decorator(self):
with capture_stdout_and_stderr() as out:
cls = ExpensiveClass4()
_test4 = do_profile(follow=[cls._get_number4])(
cls.expensive_method4)()
results = _extract_do_profile_results(out[0])
print(results)
self.assertEqual(results[0], FIRST_LINE)
self.assertEqual(results[1][5].strip(), 'def expensive_method4(self):')
self.assertEqual(results[2][5].strip(),
'for x in self._get_number4():')
self.assertEqual(results[2][1], 5001)
self.assertTrue(results[2][2] > 10)
self.assertEqual(results[5], FIRST_LINE)
self.assertEqual(results[6][5].strip(), 'def _get_number4(self):')