minor: add full stops to shape docstring

Author: mrava87

pylops/avo/avo.py

@@ -620,7 +620,7 @@ class AVOLinearModelling(LinearOperator):
 
         For example, ``y_reshaped = (Op * x.ravel()).reshape(Op.dimsd)``.
     shape : :obj:`tuple`
-        Operator shape
+        Operator shape.
 
     Raises
     ------

pylops/basicoperators/block.py

@@ -72,8 +72,12 @@ class Block(_Block):
 
     Attributes
     ----------
+    pool : :obj:`multiprocessing.Pool` or :obj:`None`
+        Pool of workers used to evaluate the N operators in parallel using
+        ``multiprocessing``. When ``nproc=1``, no pool is created (i.e.,
+        ``pool=None``).
     shape : :obj:`tuple`
-        Operator shape
+        Operator shape.
 
     Notes
     -----

pylops/basicoperators/blockdiag.py

@@ -80,7 +80,7 @@ class BlockDiag(LinearOperator):
         ``multiprocessing``. When ``nproc=1``, no pool is created (i.e.,
         ``pool=None``).
     shape : :obj:`tuple`
-        Operator shape
+        Operator shape.
 
     Notes
     -----

pylops/basicoperators/causalintegration.py

@@ -47,7 +47,7 @@ class CausalIntegration(LinearOperator):
 
         For example, ``y_reshaped = (Op * x.ravel()).reshape(Op.dimsd)``.
     shape : :obj:`tuple`
-        Operator shape
+        Operator shape.
 
     Notes
     -----

pylops/basicoperators/conj.py

@@ -36,7 +36,7 @@ class Conj(LinearOperator):
         Shape of the array after the forward, but before flattening. In
         this case, same as ``dims``.
     shape : :obj:`tuple`
-        Operator shape
+        Operator shape.
 
     Notes
     -----

pylops/basicoperators/diagonal.py

@@ -53,7 +53,7 @@ class Diagonal(LinearOperator):
         Vector to be used for element-wise multiplication has complex numbers
         (``True``) or not (``False``).
     shape : :obj:`tuple`
-        Operator shape
+        Operator shape.
 
     Notes
     -----

pylops/basicoperators/directionalderivative.py

@@ -46,10 +46,7 @@ class FirstDirectionalDerivative(LinearOperator):
 
         For example, ``y_reshaped = (Op * x.ravel()).reshape(Op.dimsd)``.
     shape : :obj:`tuple`
-        Operator shape
-    explicit : :obj:`bool`
-        Operator contains a matrix that can be solved explicitly
-        (``True``) or not (``False``).
+        Operator shape.
 
     Notes
     -----
@@ -155,7 +152,7 @@ class SecondDirectionalDerivative(LinearOperator):
 
         For example, ``y_reshaped = (Op * x.ravel()).reshape(Op.dimsd)``.
     shape : :obj:`tuple`
-        Operator shape
+        Operator shape.
 
     Notes
     -----

pylops/basicoperators/firstderivative.py

@@ -37,7 +37,7 @@ class FirstDerivative(LinearOperator):
     edge : :obj:`bool`, optional
         Use reduced order derivative at edges (``True``) or
         ignore them (``False``). This is currently only available
-         for centered derivative
+        for centered derivative
     order : :obj:`int`, optional
         .. versionadded:: 2.0.0
 
@@ -60,7 +60,7 @@ class FirstDerivative(LinearOperator):
         Shape of the array after the forward, but before flattening. In
         this case, same as ``dims``.
     shape : :obj:`tuple`
-        Operator shape
+        Operator shape.
 
     Notes
     -----

pylops/basicoperators/flip.py

@@ -40,7 +40,7 @@ class Flip(LinearOperator):
         Shape of the array after the forward, but before flattening. In
         this case, same as ``dims``.
     shape : :obj:`tuple`
-        Operator shape
+        Operator shape.
 
     Notes
     -----

pylops/basicoperators/functionoperator.py

@@ -48,7 +48,7 @@ class FunctionOperator(LinearOperator):
     Attributes
     ----------
     shape : :obj:`tuple`
-        Operator shape :math:`[n \times m]`
+        Operator shape. :math:`[n \times m]`
 
     Examples
     --------