def test_popularity_wrong_var_name():
with pytest.raises(ValueError):
popularity(
raster_ds[['arr1', 'arr2', 'arr3']],
'arr1',
data_vars=['arr2', 'arr9'],
)
def test_popularity_all_data_vars_not_contain_ref_error():
with pytest.raises(ValueError):
popularity(
raster_ds[['arr1', 'arr2', 'arr3']],
'arr9',
data_vars=['arr1', 'arr2'],
)
def test_popularity_data_vars_param_type_error():
with pytest.raises(TypeError):
popularity(
raster_ds[['arr1', 'arr2', 'arr3']],
'arr1',
data_vars='arr2',
)
def test_popularity_all_data_vars():
expected_arr = xr.DataArray([[np.nan, np.nan, 2, 2], [4, 3, np.nan, 5],
[np.nan, 1, 2, 2],
[np.nan, np.nan, 2, np.nan]])
result_arr = popularity(raster_ds, 'arr')
assert result_arr.equals(expected_arr)
def test_popularity_some_data_vars():
expected_arr = xr.DataArray([[np.nan, np.nan, np.nan, np.nan],
[np.nan, np.nan, np.nan, np.nan],
[np.nan, np.nan, np.nan, 0],
[np.nan, np.nan, np.nan, np.nan]])
result_arr = popularity(raster_ds, 'arr', ['arr1', 'arr2'])
assert result_arr.equals(expected_arr)
def test_popularity_dim_ref_param_type_error():
with pytest.raises(TypeError):
popularity(raster_ds[['arr1', 'arr2', 'arr3']], ['arr1'])
def test_popularity_raster_type_error():
with pytest.raises(TypeError):
popularity(arr1, 'arr1')
