def testcase_method(self):
options_variants = itertools.product([False, True], repeat=2)
for opt_min_rows, opt_clear_stack in options_variants:
bound_decorator = cpmoptimize(
strict=True, iters_limit=iters_limit,
opt_min_rows=opt_min_rows, opt_clear_stack=opt_clear_stack,
verbose=True)
with self.assertRaisesRegexp(exception, regexp):
bound_decorator(func)(*args, **kwargs)
def testcase_method(self):
options_variants = itertools.product([False, True], repeat=2)
for opt_min_rows, opt_clear_stack in options_variants:
bound_decorator = cpmoptimize(
strict=True, iters_limit=iters_limit,
opt_min_rows=opt_min_rows, opt_clear_stack=opt_clear_stack,
verbose=True)
with self.assertRaisesRegexp(exception, regexp):
bound_decorator(func)(*args, **kwargs)
def apply_options(settings, naive_func, clear_stack, min_rows):
name = 'cpm'
if not clear_stack or not min_rows:
name += ' -'
if not clear_stack:
name += 'c'
if not min_rows:
name += 'm'
return (name,
cpmoptimize(opt_clear_stack=clear_stack,
opt_min_rows=min_rows, **settings)(naive_func))
def apply_options(settings, naive_func, clear_stack, min_rows):
name = 'cpm'
if not clear_stack or not min_rows:
name += ' -'
if not clear_stack:
name += 'c'
if not min_rows:
name += 'm'
return (name, cpmoptimize(
opt_clear_stack=clear_stack, opt_min_rows=min_rows, **settings
)(naive_func))
def testcase_method(self):
expected = func(*args, **kwargs)
options_variants = itertools.product([False, True], repeat=2)
actual_variants = []
for opt_min_rows, opt_clear_stack in options_variants:
bound_decorator = cpmoptimize(
strict=strict, iters_limit=iters_limit,
opt_min_rows=opt_min_rows, opt_clear_stack=opt_clear_stack,
verbose=True)
# Debug messages will be generated in verbose mode (so, we can
# check that this process doesn't cause exceptions),
# but they won't be shown here (`logging` module
# doesn't show messages with DEBUG level by default).
actual_variants.append(bound_decorator(func)(*args, **kwargs))
for actual in actual_variants:
self.assertEqual(expected, actual)
def testcase_method(self):
expected = func(*args, **kwargs)
options_variants = itertools.product([False, True], repeat=2)
actual_variants = []
for opt_min_rows, opt_clear_stack in options_variants:
bound_decorator = cpmoptimize(
strict=strict, iters_limit=iters_limit,
opt_min_rows=opt_min_rows, opt_clear_stack=opt_clear_stack,
verbose=True)
# Debug messages will be generated in verbose mode (so, we can
# check that this process doesn't cause exceptions),
# but they won't be shown here (`logging` module
# doesn't show messages with DEBUG level by default).
actual_variants.append(bound_decorator(func)(*args, **kwargs))
for actual in actual_variants:
self.assertEqual(expected, actual)
res += elem
return res
def formula(count):
return (start * 2 + step * (count - 1)) * count / 2
pow10_wrapper = lambda func: (lambda arg: func(10 ** arg))
if __name__ == '__main__':
common.run(
'arith_sum', 'N elements',
common.optimized(naive) + [
('formula', formula),
],
[
('linear', None, common.linear_scale(600000, 5)),
],
exec_compare=False, draw_plot=False,
)
common.run(
'arith_sum', '10 ** N elements',
[
('cpm', pow10_wrapper(cpmoptimize()(naive))),
('formula', pow10_wrapper(formula)),
],
[
('exp', None, common.linear_scale(10000, 5)),
],
exec_compare=False, draw_plot=False,
)
