def test_input_none(self):
weps_u_ref = np.ones((self.neps_u, self.number_of_intervals))
weps_u = inputchecks.check_input_error_weightings(None, \
self.neps_u, self.number_of_intervals)
assert_array_equal(weps_u, weps_u_ref)
def test_input_columns(self):
weps_u_ref = 2 * np.ones((self.neps_u, self.number_of_intervals))
weps_u = inputchecks.check_input_error_weightings(weps_u_ref.T, \
self.neps_u, self.number_of_intervals)
assert_array_equal(weps_u, np.squeeze(weps_u_ref))
def test_zero_equation_errors(self):
neps_u = 0
weps_u_ref = ci.dmatrix(0, 0)
# In this case, the input value is not used by the function, and
# therefor irrelevant at this point
weps_u = inputchecks.check_input_error_weightings(None, neps_u, self.number_of_intervals)
assert_array_equal(weps_u, weps_u_ref)
def test_zero_equation_errors(self):
neps_u = 0
weps_u_ref = ci.dmatrix(0, 0)
# In this case, the input value is not used by the function, and
# therefor irrelevant at this point
weps_u = inputchecks.check_input_error_weightings(None, \
neps_u, self.number_of_intervals)
assert_array_equal(weps_u, weps_u_ref)
def test_input_none(self):
weps_u_ref = np.ones((self.neps_u, self.number_of_intervals))
weps_u = inputchecks.check_input_error_weightings(None, self.neps_u, self.number_of_intervals)
assert_array_equal(weps_u, weps_u_ref)
def test_input_columns(self):
weps_u_ref = 2 * np.ones((self.neps_u, self.number_of_intervals))
weps_u = inputchecks.check_input_error_weightings(weps_u_ref.T, self.neps_u, self.number_of_intervals)
assert_array_equal(weps_u, np.squeeze(weps_u_ref))
