def test_check_point_clouds_value_err_inf():
"""Cases in which part of the input is infinite and we throw a
ValueError."""
ex = CreateInputs(
n_samples, n_1, n_2, n_samples_extra, n_1_extra, n_2_extra).\
insert_inf()
# Check that, by default, np.inf is only accepted when distance_matrices
# is True.
# 1) Array input
with pytest.raises(ValueError):
check_point_clouds(ex.X_rectang)
# 2) List input
with pytest.raises(ValueError):
check_point_clouds(ex.X_list_rectang)
# Check that we error if we explicitly set force_all_finite to True
# 1) Array input
with pytest.raises(ValueError):
check_point_clouds(ex.X, distance_matrices=True, force_all_finite=True)
# 2) List input
with pytest.raises(ValueError):
check_point_clouds(ex.X_list,
distance_matrices=True,
force_all_finite=True)
def test_check_point_clouds_warn_finite():
"""Cases in which the input is finite but we throw warnings."""
ex = CreateInputs(n_samples, n_1, n_2, n_samples_extra, n_1_extra,
n_2_extra)
# Check that we throw warnings when arrays are square and distance_matrices
# is False
# 1) Array input
with pytest.warns(DataDimensionalityWarning):
check_point_clouds(ex.X)
# 2) List input
with pytest.warns(DataDimensionalityWarning):
check_point_clouds(ex.X_list)
def test_check_point_clouds_regular_inf():
"""Cases in which part of the input is infinite and no warnings or errors
should be thrown by check_point_clouds."""
ex = CreateInputs(
n_samples, n_1, n_2, n_samples_extra, n_1_extra, n_2_extra).\
insert_inf()
check_point_clouds(ex.X, distance_matrices=True)
check_point_clouds(ex.X_list, distance_matrices=True)
check_point_clouds(ex.X_rectang, force_all_finite=False)
check_point_clouds(ex.X_list_rectang, force_all_finite=False)
def test_check_point_clouds_value_err_finite():
"""Cases in which the input is finite but we throw a ValueError."""
ex = CreateInputs(n_samples, n_1, n_2, n_samples_extra, n_1_extra,
n_2_extra)
# Check that we error on 1d array input
with pytest.raises(ValueError):
check_point_clouds(np.asarray(ex.X_list_tot, dtype=object))
# Check that we error on 2d array input
with pytest.raises(ValueError):
check_point_clouds(ex.X[0])
# Check that we throw errors when arrays are not square and
# distance_matrices is True.
# 1) Array input
with pytest.raises(ValueError):
check_point_clouds(ex.X_rectang, distance_matrices=True)
# 2) List input
with pytest.raises(ValueError):
check_point_clouds(ex.X_list_rectang, distance_matrices=True)
def test_check_point_clouds_value_err_nan(force_all_finite):
"""Cases in which part of the input is NaN and we throw a
ValueError."""
ex = CreateInputs(
n_samples, n_1, n_2, n_samples_extra, n_1_extra, n_2_extra).\
insert_nan()
# Check that we error when force_all_finite is True or False
# 1) Array input
with pytest.raises(ValueError):
check_point_clouds(ex.X,
distance_matrices=True,
force_all_finite=force_all_finite)
with pytest.raises(ValueError):
check_point_clouds(ex.X_rectang, force_all_finite=force_all_finite)
# 2) List input
with pytest.raises(ValueError):
check_point_clouds(ex.X_list,
distance_matrices=True,
force_all_finite=force_all_finite)
with pytest.raises(ValueError):
check_point_clouds(ex.X_list_rectang,
force_all_finite=force_all_finite)
def test_check_point_clouds_regular_finite():
"""Cases in which the input is finite and no warnings or errors should be
thrown by check_point_clouds."""
ex = CreateInputs(n_samples, n_1, n_2, n_samples_extra, n_1_extra,
n_2_extra)
check_point_clouds(ex.X_rectang)
check_point_clouds(ex.X_list_rectang)
check_point_clouds(ex.X_list_rectang_diff_rows)
check_point_clouds(ex.X, distance_matrices=True)
check_point_clouds(ex.X_list, distance_matrices=True)
check_point_clouds(ex.X_list_tot, distance_matrices=True)