def test_input_columns(self):
nu = 3
udata_ref = np.random.rand(nu, self.number_of_controls)
udata = inputchecks.check_controls_data(udata_ref.T, nu, self.number_of_controls)
assert_array_equal(udata, udata_ref)
def test_input_none(self):
nu = 3
udata_ref = np.zeros((nu, self.number_of_controls))
udata = inputchecks.check_controls_data(None, nu, self.number_of_controls)
assert_array_equal(udata, udata_ref)
def test_input_rows(self):
nu = 3
udata_ref = np.random.rand(nu, self.number_of_controls)
udata = inputchecks.check_controls_data(udata_ref, \
nu, self.number_of_controls)
assert_array_equal(udata, udata_ref)
def test_input_none(self):
nu = 3
udata_ref = np.zeros((nu, self.number_of_controls))
udata = inputchecks.check_controls_data(None, \
nu, self.number_of_controls)
assert_array_equal(udata, udata_ref)
def test_zero_controls(self):
# In this case, the input value is not used by the function, and
# therefor irrelevant at this point
nu = 0
udata_ref = ci.dmatrix(0, self.number_of_controls)
udata = inputchecks.check_controls_data(None, nu, self.number_of_controls)
assert_array_equal(udata, udata_ref)
def test_zero_controls(self):
# In this case, the input value is not used by the function, and
# therefor irrelevant at this point
nu = 0
udata_ref = ci.dmatrix(0, self.number_of_controls)
udata = inputchecks.check_controls_data(None, \
nu, self.number_of_controls)
assert_array_equal(udata, udata_ref)
