fix annotations

cognite/client/data_classes/data_modeling/ids.py

@@ -190,7 +190,7 @@ def version(self) -> str | None: ...
 Id = tuple[str, str] | tuple[str, str, str] | IdLike | VersionedIdLike
 
 
-def _load_space_identifier(ids: str | SequenceNotStr[str]) -> DataModelingIdentifierSequence:
+def _load_space_identifier(ids: str | Sequence[str] | SequenceNotStr[str]) -> DataModelingIdentifierSequence:
     is_sequence = isinstance(ids, Sequence) and not isinstance(ids, str)
     spaces = [ids] if isinstance(ids, str) else ids
     return DataModelingIdentifierSequence(

cognite/client/utils/_pandas_helpers.py

@@ -7,7 +7,7 @@
 from inspect import signature
 from itertools import chain
 from numbers import Integral
-from typing import TYPE_CHECKING, Any, Literal
+from typing import TYPE_CHECKING, Any, Literal, Protocol
 
 from cognite.client.exceptions import CogniteImportError
 from cognite.client.utils._importing import local_import
@@ -18,7 +18,6 @@
     import pandas as pd
 
     from cognite.client.data_classes import Datapoints, DatapointsArray, DatapointsArrayList, DatapointsList
-    from cognite.client.data_classes._base import T_CogniteResource, T_CogniteResourceList
 
 
 NULLABLE_INT_COLS = {
@@ -88,7 +87,11 @@ def concat_dps_dataframe_list(
     return concat_dataframes_with_nullable_int_cols(dfs)
 
 
-def notebook_display_with_fallback(inst: T_CogniteResource | T_CogniteResourceList, **kwargs: Any) -> str:
+class PandasConvertible(Protocol):
+    def to_pandas(self) -> pd.DataFrame: ...
+
+
+def notebook_display_with_fallback(inst: PandasConvertible, **kwargs: Any) -> str:
     params = signature(inst.to_pandas).parameters
     # Default of False enforced (when accepted by method):
     if "camel_case" in params: