Return from property docstring

molpipeline/abstract_pipeline_elements/core.py

@@ -205,24 +205,12 @@ def set_params(self, **parameters: dict[str, Any]) -> Self:
 
     @property
     def additional_attributes(self) -> dict[str, Any]:
-        """Any attribute relevant for recreating and exact copy, which is not a parameter.
-
-        Returns
-        -------
-        dict[str, Any]
-            Additional attributes.
-        """
+        """Any attribute relevant for recreating and exact copy, which is not a parameter."""
         return {}
 
     @property
     def n_jobs(self) -> int:
-        """Get the number of cores.
-
-        Returns
-        -------
-        int
-            Number of cores used for processing.
-        """
+        """Get the number of cores."""
         return self._n_jobs
 
     @n_jobs.setter
@@ -242,13 +230,7 @@ def n_jobs(self, n_jobs: int) -> None:
 
     @property
     def requires_fitting(self) -> bool:
-        """Return whether the object requires fitting or not.
-
-        Returns
-        -------
-        bool
-            True if object requires fitting, else False.
-        """
+        """Return whether the object requires fitting or not."""
         return self._requires_fitting
 
     def finish(self) -> None:
@@ -376,46 +358,22 @@ def __init__(
 
     @property
     def input_type(self) -> str:
-        """Return the input type.
-
-        Returns
-        -------
-        str
-            Input type of the object.
-        """
+        """Return the input type."""
         return self._input_type
 
     @property
     def is_fitted(self) -> bool:
-        """Return whether the object is fitted or not.
-
-        Returns
-        -------
-        bool
-            True if object is fitted, else False.
-        """
+        """Return whether the object is fitted or not."""
         return self._is_fitted
 
     @property
     def output_type(self) -> str:
-        """Return the output type.
-
-        Returns
-        -------
-        str
-            Output type of the object.
-        """
+        """Return the output type."""
         return self._output_type
 
     @property
     def parameters(self) -> dict[str, Any]:
-        """Return the parameters of the object.
-
-        Returns
-        -------
-        dict[str, Any]
-            Object parameters as a dictionary.
-        """
+        """Return the parameters of the object."""
         return self.get_params()
 
     @parameters.setter

molpipeline/abstract_pipeline_elements/mol2any/mol2bitvector.py

@@ -67,13 +67,7 @@ def __init__(
 
     @property
     def n_bits(self) -> int:
-        """Get number of bits in (or size of) fingerprint.
-
-        Returns
-        -------
-        int
-            Number of bits in fingerprint.
-        """
+        """Get number of bits in (or size of) fingerprint."""
         return self._n_bits
 
     @overload
@@ -303,24 +297,12 @@ def set_params(self, **parameters: dict[str, Any]) -> Self:
 
     @property
     def radius(self) -> int:
-        """Get radius of Morgan fingerprint.
-
-        Returns
-        -------
-        int
-            Radius of Morgan fingerprint.
-        """
+        """Get radius of Morgan fingerprint."""
         return self._radius
 
     @property
     def use_features(self) -> bool:
-        """Get whether to encode atoms by features or not.
-
-        Returns
-        -------
-        bool
-            Whether to encode atoms by features or not.
-        """
+        """Get whether to encode atoms by features or not."""
         return self._use_features
 
     @abc.abstractmethod

molpipeline/abstract_pipeline_elements/mol2any/mol2floatvector.py

@@ -64,13 +64,7 @@ def __init__(
     @property
     @abc.abstractmethod
     def n_features(self) -> int:
-        """Return the number of features.
-
-        Returns
-        -------
-        int
-            Number of features.
-        """
+        """Return the number of features."""
 
     def assemble_output(
         self,

molpipeline/error_handling.py

@@ -531,13 +531,7 @@ def set_params(self, **parameters: dict[str, Any]) -> Self:
 
     @property
     def error_filter(self) -> ErrorFilter:
-        """Get the ErrorFilter connected to this FilterReinserter.
-
-        Returns
-        -------
-        ErrorFilter
-            ErrorFilter used for filling removed values.
-        """
+        """Get the ErrorFilter connected to this FilterReinserter."""
         if self._error_filter is None:
             raise ValueError("ErrorFilter not set")
         return self._error_filter

molpipeline/estimators/chemprop/component_wrapper.py

@@ -211,13 +211,7 @@ def __init__(
 
     @property
     def input_dim(self) -> int:
-        """Get the dimension of input.
-
-        Returns
-        -------
-        int
-            The dimension of input.
-        """
+        """Get the dimension of input."""
         return self._input_dim
 
     @input_dim.setter
@@ -233,13 +227,7 @@ def input_dim(self, value: int) -> None:
 
     @property
     def n_tasks(self) -> int:
-        """Get the number of tasks.
-
-        Returns
-        -------
-        int
-            The number of tasks.
-        """
+        """Get the number of tasks."""
         return self._n_tasks
 
     @n_tasks.setter

molpipeline/estimators/chemprop/models.py

@@ -78,13 +78,7 @@ def __init__(
 
     @property
     def classes_(self) -> npt.NDArray[np.int_]:
-        """Return the classes.
-
-        Returns
-        -------
-        npt.NDArray[np.int_]
-            The classes.
-        """
+        """Return the classes."""
         if not self._is_classifier():
             raise ValueError("Model is not a classifier.")
         if self._classes_ is None:
@@ -93,13 +87,7 @@ def classes_(self) -> npt.NDArray[np.int_]:
 
     @property
     def _estimator_type(self) -> str:
-        """Return the estimator type.
-
-        Returns
-        -------
-        str
-            The estimator type.
-        """
+        """Return the estimator type."""
         if self._is_classifier():
             return "classifier"
         return "regressor"

molpipeline/mol2any/mol2concatinated_vector.py

@@ -69,13 +69,7 @@ def __init__(
 
     @property
     def element_list(self) -> list[tuple[str, MolToAnyPipelineElement]]:
-        """Get pipeline elements.
-
-        Returns
-        -------
-        list[tuple[str, MolToAnyPipelineElement]]
-            List of pipeline elements.
-        """
+        """Get pipeline elements."""
         return self._element_list
 
     def get_params(self, deep: bool = True) -> dict[str, Any]:

molpipeline/mol2any/mol2net_charge.py

@@ -67,24 +67,12 @@ def __init__(
 
     @property
     def n_features(self) -> int:
-        """Return the number of features.
-
-        Returns
-        -------
-        int
-            Number of features.
-        """
+        """Return the number of features."""
         return len(self._descriptor_list)
 
     @property
     def descriptor_list(self) -> list[str]:
-        """Return a copy of the descriptor list.
-
-        Returns
-        -------
-        list[str]
-            List of descriptor names.
-        """
+        """Return a copy of the descriptor list."""
         return self._descriptor_list[:]
 
     def _get_net_charge_gasteiger(

molpipeline/mol2any/mol2rdkit_phys_chem.py

@@ -73,24 +73,12 @@ def __init__(
 
     @property
     def n_features(self) -> int:
-        """Return the number of features.
-
-        Returns
-        -------
-        int
-            Number of features.
-        """
+        """Return the number of features."""
         return len(self._descriptor_list)
 
     @property
     def descriptor_list(self) -> list[str]:
-        """Return a copy of the descriptor list.
-
-        Returns
-        -------
-        list[str]
-            List of descriptor names.
-        """
+        """Return a copy of the descriptor list."""
         return self._descriptor_list[:]
 
     def pretransform_single(

molpipeline/mol2mol/reaction.py

@@ -115,13 +115,7 @@ def set_params(self, **parameters: dict[str, Any]) -> Self:
 
     @property
     def reaction(self) -> AllChem.ChemicalReaction:
-        """Get the reaction which is applied to the input molecule.
-
-        Returns
-        -------
-        AllChem.ChemicalReaction
-            Reaction which is applied to molecules.
-        """
+        """Get the reaction which is applied to the input molecule."""
         return self._reaction
 
     @reaction.setter

molpipeline/mol2mol/standardization.py

@@ -494,24 +494,12 @@ def __init__(
 
     @property
     def solvent_mol_list(self) -> list[RDKitMol]:
-        """Return molecule representation of smiles list.
-
-        Returns
-        -------
-        list[RDKitMol]
-            List of molecule objects to remove.
-        """
+        """Return molecule representation of smiles list."""
         return self._solvent_mol_list
 
     @property
     def solvent_smiles_list(self) -> list[str]:
-        """Return the smiles list.
-
-        Returns
-        -------
-        list[str]
-            List of SMILES of fragments to remove.
-        """
+        """Return the smiles list."""
         return self._solvent_smiles_list
 
     @solvent_smiles_list.setter