Fix docstring typos

doc/demos/matplotlib/matplotlib.rst

@@ -8,11 +8,11 @@ as we demonstrate in the following.
 .. note::
 
    Since ``graph-tool`` uses `cairo <https://cairographics.org>`_ for
-   drawing, it is necessary to one of matplotlib's cairo-based backend,
-   otherwise integration is not possible. Currently, two backends can be
-   chosen: ``cairo`` or ``GTK3Cairo``. The latter should be chosen for
-   interactive GUI-based figures. The backend can be changed by calling
-   :func:`matplotlib.pyplot.switch_backend`:
+   drawing, it is necessary to use one of matplotlib's cairo-based
+   backends, otherwise integration is not possible. Currently, two
+   backends can be chosen: ``cairo`` or ``GTK3Cairo``. The latter should
+   be chosen for interactive GUI-based figures. The backend can be
+   changed by calling :func:`matplotlib.pyplot.switch_backend`:
 
    .. code::
 

src/graph_tool/dynamics/__init__.py

@@ -217,7 +217,7 @@ class SIState(EpidemicStateBase):
         -----
 
         This implements an SI epidemic process [pastor-satorras-epidemic-2015]_,
-        where nodes in the susceptible state (value 0) are infectious by neighbours
+        where nodes in the susceptible state (value 0) are infected by neighbours
         in the infectious state (value 1).
 
         If a node :math:`i` is updated at time :math:`t`, the transition
@@ -325,7 +325,7 @@ class SISState(DiscreteStateBase):
 
         This implements an SIS epidemic process
         [pastor-satorras-epidemic-2015]_, where nodes in the susceptible state
-        (value 0) are infectious by neighbours in the infectious state (value 1),
+        (value 0) are infected by neighbours in the infectious state (value 1),
         which can then eventually recover to a susceptible state.
 
         If a node :math:`i` is updated at time :math:`t`, the transition
@@ -434,7 +434,7 @@ class SIRState(DiscreteStateBase):
 
         This implements an SIR epidemic process
         [pastor-satorras-epidemic-2015]_, where nodes in the susceptible state
-        (value 0) are infectious by neighbours in the infectious state (value 1),
+        (value 0) are infected by neighbours in the infectious state (value 1),
         which can then eventually recover to a recovered state (value 2).
 
         If a node :math:`i` is updated at time :math:`t`, the transition
@@ -556,7 +556,7 @@ class SIRSState(DiscreteStateBase):
 
         This implements an SIRS epidemic process
         [pastor-satorras-epidemic-2015]_, where nodes in the susceptible state
-        (value 0) are infectious by neighbours in the infectious state (value 1),
+        (value 0) are infected by neighbours in the infectious state (value 1),
         which can then eventually recover to a recovered state (value 2), and
         finally back to the susceptible state.
 

src/graph_tool/inference/uncertain_blockmodel.py

@@ -523,7 +523,7 @@ class MeasuredBlockState(UncertainBaseState):
         positive measurements for each edge.
     n_default : ``int`` (optional, default: ``1``)
         Total number of measurements for each non-edge.
-    x_default : ``int`` (optional, default: ``1``)
+    x_default : ``int`` (optional, default: ``0``)
         Total number of positive measurements for each non-edge.
     fn_params : ``dict`` (optional, default: ``dict(alpha=1, beta=1)``)
         Beta distribution hyperparameters for the probability of missing