def test_input_none(self):
nx = 4
xdata_ref = np.zeros((nx, self.number_of_intervals + 1))
xdata = inputchecks.check_states_data(None, nx, self.number_of_intervals)
assert_array_equal(xdata, xdata_ref)
def test_input_columns(self):
nx = 4
xdata_ref = np.random.rand(nx, self.number_of_intervals + 1)
xdata = inputchecks.check_states_data(xdata_ref.T, nx, self.number_of_intervals)
assert_array_equal(xdata, xdata_ref)
def test_input_none(self):
nx = 4
xdata_ref = np.zeros((nx, self.number_of_intervals + 1))
xdata = inputchecks.check_states_data(None, nx, \
self.number_of_intervals)
assert_array_equal(xdata, xdata_ref)
def test_input_columns(self):
nx = 4
xdata_ref = np.random.rand(nx, self.number_of_intervals + 1)
xdata = inputchecks.check_states_data(xdata_ref.T, nx, \
self.number_of_intervals)
assert_array_equal(xdata, xdata_ref)
def test_zero_states(self):
nx = 0
xdata_ref = ci.dmatrix(0, 0)
# In this case, the input value is not used by the function, and
# therefor irrelevant at this point
xdata = inputchecks.check_states_data(None, nx, self.number_of_intervals)
assert_array_equal(xdata, xdata_ref)
def test_zero_states(self):
nx = 0
xdata_ref = ci.dmatrix(0, 0)
# In this case, the input value is not used by the function, and
# therefor irrelevant at this point
xdata = inputchecks.check_states_data(None, nx, \
self.number_of_intervals)
assert_array_equal(xdata, xdata_ref)
