Allow custom groups without warnings

CHANGELOG.md

@@ -2,8 +2,13 @@
 
 ## Unreleased
 
+### New features
+
 ### Maintenance and fixes
 - Make `arviz.data.generate_dims_coords` handle `dims` and `default_dims` consistently ([2395](https://github.com/arviz-devs/arviz/pull/2395))
+- Only emit a warning for custom groups in `InferenceData` when explicitly requested ([2401](https://github.com/arviz-devs/arviz/pull/2401))
+
+### Documentation
 
 ## v0.20.0 (2024 Sep 28)
 

arviz/data/inference_data.py

@@ -102,6 +102,7 @@ class InferenceData(Mapping[str, xr.Dataset]):
     def __init__(
         self,
         attrs: Union[None, Mapping[Any, Any]] = None,
+        warn_on_custom_groups: bool = False,
         **kwargs: Union[xr.Dataset, List[xr.Dataset], Tuple[xr.Dataset, xr.Dataset]],
     ) -> None:
         """Initialize InferenceData object from keyword xarray datasets.
@@ -110,6 +111,9 @@ def __init__(
         ----------
         attrs : dict
             sets global attribute for InferenceData object.
+        warn_on_custom_groups : bool, default False
+            Emit a warning when custom groups are present in the InferenceData.
+            "custom group" means any group whose name isn't defined in :ref:`schema`
         kwargs :
             Keyword arguments of xarray datasets
 
@@ -154,9 +158,10 @@ def __init__(
         for key in kwargs:
             if key not in SUPPORTED_GROUPS_ALL:
                 key_list.append(key)
-                warnings.warn(
-                    f"{key} group is not defined in the InferenceData scheme", UserWarning
-                )
+                if warn_on_custom_groups:
+                    warnings.warn(
+                        f"{key} group is not defined in the InferenceData scheme", UserWarning
+                    )
         for key in key_list:
             dataset = kwargs[key]
             dataset_warmup = None
@@ -1467,7 +1472,9 @@ def rename_dims(self, name_dict=None, groups=None, filter_groups=None, inplace=F
         else:
             return out
 
-    def add_groups(self, group_dict=None, coords=None, dims=None, **kwargs):
+    def add_groups(
+        self, group_dict=None, coords=None, dims=None, warn_on_custom_groups=False, **kwargs
+    ):
         """Add new groups to InferenceData object.
 
         Parameters
@@ -1479,6 +1486,9 @@ def add_groups(self, group_dict=None, coords=None, dims=None, **kwargs):
         dims : dict of {str : list of str}, optional
             Dimensions of each variable. The keys are variable names, values are lists of
             coordinates.
+        warn_on_custom_groups : bool, default False
+            Emit a warning when custom groups are present in the InferenceData.
+            "custom group" means any group whose name isn't defined in :ref:`schema`
         kwargs : dict, optional
             The keyword arguments form of group_dict. One of group_dict or kwargs must be provided.
 
@@ -1542,7 +1552,7 @@ def add_groups(self, group_dict=None, coords=None, dims=None, **kwargs):
         if repeated_groups:
             raise ValueError(f"{repeated_groups} group(s) already exists.")
         for group, dataset in group_dict.items():
-            if group not in SUPPORTED_GROUPS_ALL:
+            if warn_on_custom_groups and group not in SUPPORTED_GROUPS_ALL:
                 warnings.warn(
                     f"The group {group} is not defined in the InferenceData scheme",
                     UserWarning,
@@ -1597,7 +1607,7 @@ def add_groups(self, group_dict=None, coords=None, dims=None, **kwargs):
                     else:
                         self._groups.append(group)
 
-    def extend(self, other, join="left"):
+    def extend(self, other, join="left", warn_on_custom_groups=False):
         """Extend InferenceData with groups from another InferenceData.
 
         Parameters
@@ -1608,6 +1618,9 @@ def extend(self, other, join="left"):
             Defines how the two decide which group to keep when the same group is
             present in both objects. 'left' will discard the group in ``other`` whereas 'right'
             will keep the group in ``other`` and discard the one in ``self``.
+        warn_on_custom_groups : bool, default False
+            Emit a warning when custom groups are present in the InferenceData.
+            "custom group" means any group whose name isn't defined in :ref:`schema`
 
         Examples
         --------
@@ -1651,7 +1664,7 @@ def extend(self, other, join="left"):
         for group in other._groups_all:  # pylint: disable=protected-access
             if hasattr(self, group) and join == "left":
                 continue
-            if group not in SUPPORTED_GROUPS_ALL:
+            if warn_on_custom_groups and group not in SUPPORTED_GROUPS_ALL:
                 warnings.warn(
                     f"{group} group is not defined in the InferenceData scheme", UserWarning
                 )

arviz/tests/base_tests/test_data.py

@@ -3,6 +3,7 @@
 
 import importlib
 import os
+import warnings
 from collections import namedtuple
 from copy import deepcopy
 from html import escape
@@ -938,7 +939,7 @@ def test_add_groups_warning(self, data_random):
         data = np.random.normal(size=(4, 500, 8))
         idata = data_random
         with pytest.warns(UserWarning, match="The group.+not defined in the InferenceData scheme"):
-            idata.add_groups({"new_group": idata.posterior})
+            idata.add_groups({"new_group": idata.posterior}, warn_on_custom_groups=True)
         with pytest.warns(UserWarning, match="the default dims.+will be added automatically"):
             idata.add_groups(constant_data={"a": data[..., 0], "b": data})
         assert idata.new_group.equals(idata.posterior)
@@ -979,8 +980,8 @@ def test_extend_errors_warnings(self, data_random):
         with pytest.raises(ValueError, match="join must be either"):
             idata.extend(idata2, join="outer")
         idata2.add_groups(new_group=idata2.prior)
-        with pytest.warns(UserWarning):
-            idata.extend(idata2)
+        with pytest.warns(UserWarning, match="new_group"):
+            idata.extend(idata2, warn_on_custom_groups=True)
 
 
 class TestNumpyToDataArray:
@@ -1173,11 +1174,17 @@ def test_bad_inference_data():
         InferenceData(posterior=[1, 2, 3])
 
 
-def test_inference_data_other_groups():
+@pytest.mark.parametrize("warn", [True, False])
+def test_inference_data_other_groups(warn):
     datadict = {"a": np.random.randn(100), "b": np.random.randn(1, 100, 10)}
     dataset = convert_to_dataset(datadict, coords={"c": np.arange(10)}, dims={"b": ["c"]})
-    with pytest.warns(UserWarning, match="not.+in.+InferenceData scheme"):
-        idata = InferenceData(other_group=dataset)
+    if warn:
+        with pytest.warns(UserWarning, match="not.+in.+InferenceData scheme"):
+            idata = InferenceData(other_group=dataset, warn_on_custom_groups=True)
+    else:
+        with warnings.catch_warnings():
+            warnings.simplefilter("error")
+            idata = InferenceData(other_group=dataset, warn_on_custom_groups=False)
     fails = check_multiple_attrs({"other_group": ["a", "b"]}, idata)
     assert not fails