def test_math_functions(func, needs_c99_support):
'''
Test that math functions give the same result, regardless of whether used
directly or in generated Python or C++ code.
'''
if not get_device() == RuntimeDevice or prefs.codegen.target != 'numpy':
if needs_c99_support and not compiler_supports_c99():
pytest.skip('Support for function "{}" needs a compiler with C99 '
'support.')
test_array = np.array([-1, -0.5, 0, 0.5, 1])
with catch_logs() as _: # Let's suppress warnings about illegal values
# Calculate the result directly
numpy_result = func(test_array)
# Calculate the result in a somewhat complicated way by using a
# subexpression in a NeuronGroup
if func.__name__ == 'absolute':
# we want to use the name abs instead of absolute
func_name = 'abs'
else:
func_name = func.__name__
G = NeuronGroup(
len(test_array), '''func = {func}(variable) : 1
variable : 1'''.format(func=func_name))
G.variable = test_array
mon = StateMonitor(G, 'func', record=True)
net = Network(G, mon)
net.run(defaultclock.dt)
assert_allclose(
numpy_result,
mon.func_.flatten(),
err_msg='Function %s did not return the correct values' %
func.__name__)
def test_compiler_c99():
# On a user's computer, we do not know whether the compiler actually
# has C99 support, so we just check whether the test does not raise an
# error
c99_support = compiler_supports_c99()
# On our Azure test server we know that the compilers support C99
if os.environ.get('AGENT_OS', ''):
assert c99_support
def test_compiler_c99():
# On a user's computer, we do not know whether the compiler actually
# has C99 support, so we just check whether the test does not raise an
# error
# The compiler check previously created spurious '-.o' files (see #1348)
if os.path.exists('-.o'):
os.remove('-.o')
c99_support = compiler_supports_c99()
assert not os.path.exists('-.o')
# On our Azure test server we know that the compilers support C99
if os.environ.get('AGENT_OS', ''):
assert c99_support
