skip test

tests/base/test_stats.py

@@ -74,15 +74,15 @@ def test_hdi_idata_varnames(centered_eight):
     assert result.dims == {"hdi": 2, "school": 8}
     assert list(result.data_vars.keys()) == ["mu", "theta"]
 
-# this is failing with 
-# AttributeError: DatasetView objects are not to be initialized directly
-# def test_hdi_idata_group(centered_eight):
-#     result_posterior = centered_eight.azstats.hdi(group="posterior")
-#     result_prior = centered_eight.azstats.hdi(group="prior")
-#     assert "hdi" in result_prior.mu.dims
-#     range_posterior = result_posterior.mu.values[1] - result_posterior.mu.values[0]
-#     range_prior = result_prior.mu.values[1] - result_prior.mu.values[0]
-#     assert range_posterior < range_prior
+
+@pytest.mark.skip(reason="AttributeError: DatasetView objects are not to be initialized directly")
+def test_hdi_idata_group(centered_eight):
+    result_posterior = centered_eight.azstats.hdi(group="posterior")
+    result_prior = centered_eight.azstats.hdi(group="prior")
+    assert "hdi" in result_prior.mu.dims
+    range_posterior = result_posterior.mu.values[1] - result_posterior.mu.values[0]
+    range_prior = result_prior.mu.values[1] - result_prior.mu.values[0]
+    assert range_posterior < range_prior
 
 
 def test_hdi_coords(centered_eight):
@@ -150,7 +150,7 @@ def test_ecdf(centered_eight):
     accessor = centered_eight.posterior.ds.azstats
     result = accessor.ecdf()
     assert isinstance(result, Dataset)
-    assert dict(result.dims) == {'plot_axis': 2, 'quantile': 200}
+    assert dict(result.dims) == {"plot_axis": 2, "quantile": 200}
 
     result = accessor.hdi(dims="chain")
     assert isinstance(result, Dataset)
@@ -161,7 +161,7 @@ def test_ecdf_idata_varnames(centered_eight):
     accessor = centered_eight.posterior.ds.azstats
     result = accessor.filter_vars(var_names=["mu", "theta"]).ecdf()
     assert isinstance(result, Dataset)
-    assert result.dims == {'plot_axis': 2, 'quantile': 200}
+    assert result.dims == {"plot_axis": 2, "quantile": 200}
     assert list(result.data_vars.keys()) == ["mu", "theta"]
 
 
@@ -170,6 +170,7 @@ def test_ecdf_coords(centered_eight):
     result = data.azstats.ecdf(dims="draw")
     assert_array_equal(result.coords["chain"], [0, 1, 3])
 
+
 def test_r2_score():
     x = np.linspace(0, 1, 100)
     y = np.random.normal(x, 1)