docs: remove pointless docstrings

src/safeds/ml/nn/layers/_convolutional2d_layer.py

@@ -191,14 +191,6 @@ def _set_input_size(self, input_size: int | ModelImageSize) -> None:
         self._output_size = None
 
     def __hash__(self) -> int:
-        """
-        Return a deterministic hash value for this convolutional 2d layer.
-
-        Returns
-        -------
-        hash:
-            the hash value
-        """
         return _structural_hash(
             self._output_channel,
             self._kernel_size,
@@ -209,19 +201,6 @@ def __hash__(self) -> int:
         )
 
     def __eq__(self, other: object) -> bool:
-        """
-        Compare two convolutional 2d layer.
-
-        Parameters
-        ----------
-        other:
-            The convolutional 2d layer to compare to.
-
-        Returns
-        -------
-        equals:
-            Whether the two convolutional 2d layer are the same.
-        """
         if not isinstance(other, Convolutional2DLayer) or isinstance(other, ConvolutionalTranspose2DLayer):
             return NotImplemented
         return (self is other) or (
@@ -234,14 +213,6 @@ def __eq__(self, other: object) -> bool:
         )
 
     def __sizeof__(self) -> int:
-        """
-        Return the complete size of this object.
-
-        Returns
-        -------
-        size:
-            Size of this object in bytes.
-        """
         return (
             sys.getsizeof(self._output_channel)
             + sys.getsizeof(self._kernel_size)
@@ -336,30 +307,9 @@ def output_size(self) -> ModelImageSize:
         return self._output_size
 
     def __hash__(self) -> int:
-        """
-        Return a deterministic hash value for this convolutional transpose 2d layer.
-
-        Returns
-        -------
-        hash:
-            the hash value
-        """
         return _structural_hash(super().__hash__(), self._output_padding)
 
     def __eq__(self, other: object) -> bool:
-        """
-        Compare two convolutional transpose 2d layer.
-
-        Parameters
-        ----------
-        other:
-            The convolutional transpose 2d layer to compare to.
-
-        Returns
-        -------
-        equals:
-            Whether the two convolutional transpose 2d layer are the same.
-        """
         if not isinstance(other, ConvolutionalTranspose2DLayer):
             return NotImplemented
         return (self is other) or (
@@ -373,12 +323,4 @@ def __eq__(self, other: object) -> bool:
         )
 
     def __sizeof__(self) -> int:
-        """
-        Return the complete size of this object.
-
-        Returns
-        -------
-        size:
-            Size of this object in bytes.
-        """
         return sys.getsizeof(self._output_padding) + super().__sizeof__()

src/safeds/ml/nn/layers/_flatten_layer.py

@@ -92,41 +92,12 @@ def _set_input_size(self, input_size: int | ModelImageSize) -> None:
         self._output_size = None
 
     def __hash__(self) -> int:
-        """
-        Return a deterministic hash value for this flatten layer.
-
-        Returns
-        -------
-        hash:
-            the hash value
-        """
         return _structural_hash(self._input_size, self._output_size)
 
     def __eq__(self, other: object) -> bool:
-        """
-        Compare two flatten layer.
-
-        Parameters
-        ----------
-        other:
-            The flatten layer to compare to.
-
-        Returns
-        -------
-        equals:
-            Whether the two flatten layer are the same.
-        """
         if not isinstance(other, FlattenLayer):
             return NotImplemented
         return (self is other) or (self._input_size == other._input_size and self._output_size == other._output_size)
 
     def __sizeof__(self) -> int:
-        """
-        Return the complete size of this object.
-
-        Returns
-        -------
-        size:
-            Size of this object in bytes.
-        """
         return sys.getsizeof(self._input_size) + sys.getsizeof(self._output_size)

src/safeds/ml/nn/layers/_forward_layer.py

@@ -82,40 +82,16 @@ def _set_input_size(self, input_size: int | ModelImageSize) -> None:
         self._input_size = input_size
 
     def __hash__(self) -> int:
-        """
-        Return a deterministic hash value for this forward layer.
-
-        Returns
-        -------
-        hash:
-            the hash value
-        """
         return _structural_hash(self._input_size, self._output_size)
 
     def __eq__(self, other: object) -> bool:
-        """
-        Compare two forward layer instances.
-
-        Returns
-        -------
-        equals:
-            'True' if input and output size are equal, 'False' otherwise.
-        """
         if not isinstance(other, ForwardLayer):
             return NotImplemented
         if self is other:
             return True
         return self._input_size == other._input_size and self._output_size == other._output_size
 
     def __sizeof__(self) -> int:
-        """
-        Return the complete size of this object.
-
-        Returns
-        -------
-        size:
-            Size of this object in bytes.
-        """
         import sys
 
         return sys.getsizeof(self._input_size) + sys.getsizeof(self._output_size)

src/safeds/ml/nn/layers/_pooling2d_layer.py

@@ -102,14 +102,6 @@ def _set_input_size(self, input_size: int | ModelImageSize) -> None:
         self._output_size = None
 
     def __hash__(self) -> int:
-        """
-        Return a deterministic hash value for this pooling 2d layer.
-
-        Returns
-        -------
-        hash:
-            the hash value
-        """
         return _structural_hash(
             self._strategy,
             self._kernel_size,
@@ -120,19 +112,6 @@ def __hash__(self) -> int:
         )
 
     def __eq__(self, other: object) -> bool:
-        """
-        Compare two pooling 2d layer.
-
-        Parameters
-        ----------
-        other:
-            The pooling 2d layer to compare to.
-
-        Returns
-        -------
-        equals:
-            Whether the two pooling 2d layer are the same.
-        """
         if not isinstance(other, type(self)):
             return NotImplemented
         return (self is other) or (
@@ -145,14 +124,6 @@ def __eq__(self, other: object) -> bool:
         )
 
     def __sizeof__(self) -> int:
-        """
-        Return the complete size of this object.
-
-        Returns
-        -------
-        size:
-            Size of this object in bytes.
-        """
         return (
             sys.getsizeof(self._input_size)
             + sys.getsizeof(self._output_size)