Fix isort failure in pre-commit hooks

.pre-commit-config.yaml

@@ -12,7 +12,7 @@ repos:
     -   id: black
         additional_dependencies: [toml]
 -   repo: https://github.com/PyCQA/isort
-    rev: 5.10.1
+    rev: 5.12.0
     hooks:
     -   id: isort
         additional_dependencies: [toml]

cellrank/_utils/_lineage.py

@@ -531,7 +531,7 @@ def T(self):
 
     @property
     def nlin(self) -> int:
-        """The number of lineages."""  # noqa: D401
+        """The number of lineages."""
         return self.shape[1]
 
     @d.get_full_description(base="lin_pd")

cellrank/estimators/terminal_states/_term_states_estimator.py

@@ -68,7 +68,7 @@ def terminal_states(self) -> Optional[pd.Series]:
     @property
     @d.get_summary(base="tse_term_states_probs")
     def terminal_states_probabilities(self) -> Optional[pd.Series]:
-        """Aggregated probability of cells to be in terminal states."""  # noqa: D401
+        """Aggregated probability of cells to be in terminal states."""
         return self._term_states_probs
 
     @d.dedent

cellrank/models/_base_model.py

@@ -238,7 +238,7 @@ def adata(self, adata: Optional[AnnData]) -> None:
 
     @property
     def shape(self) -> Tuple[int]:
-        """Number of cells in :attr:`adata`."""  # noqa: D401
+        """Number of cells in :attr:`adata`."""
         return (self._n_obs,)
 
     @property
@@ -267,19 +267,19 @@ def w_all(self) -> np.ndarray:
     @property
     @d.get_summary(base="base_model_x")
     def x(self) -> np.ndarray:
-        """Filtered independent variables of shape `(n_filtered_cells, 1)` used for fitting."""  # noqa
+        """Filtered independent variables of shape `(n_filtered_cells, 1)` used for fitting."""
         return self._x
 
     @property
     @d.get_summary(base="base_model_y")
     def y(self) -> np.ndarray:
-        """Filtered dependent variables of shape `(n_filtered_cells, 1)` used for fitting."""  # noqa
+        """Filtered dependent variables of shape `(n_filtered_cells, 1)` used for fitting."""
         return self._y
 
     @property
     @d.get_summary(base="base_model_w")
     def w(self) -> np.ndarray:
-        """Filtered weights of shape `(n_filtered_cells,)` used for fitting."""  # noqa
+        """Filtered weights of shape `(n_filtered_cells,)` used for fitting."""
         return self._w
 
     @property

cellrank/models/_sklearn_model.py

@@ -229,7 +229,7 @@ def _find_arg_name(
 
     @property
     def model(self) -> BaseEstimator:
-        """The underlying :class:`sklearn.base.BaseEstimator`."""  # noqa
+        """The underlying :class:`sklearn.base.BaseEstimator`."""
         return self._model
 
     @d.dedent