fix

Author: tobiasraabe

src/_pytask/data_catalog.py

@@ -53,7 +53,7 @@ class DataCatalog:
     ----------
     default_node
         A default node for loading and saving values. By default,
-        [pytask.PickleNode][] is used to serialize any Python object with the
+        [`pytask.PickleNode`][] is used to serialize any Python object with the
         `pickle` module.
     name
         The name of the data catalog which can only contain letters, numbers, hyphens

src/_pytask/nodes.py

@@ -236,7 +236,7 @@ class PythonNode(PNode):
 
     Examples
     --------
-    To allow a [pytask.PythonNode][] to hash a dictionary, you need to pass your
+    To allow a [`pytask.PythonNode`][] to hash a dictionary, you need to pass your
     own hashing function. For example, from the `deepdiff` library.
 
     >>> from deepdiff import DeepHash
@@ -284,7 +284,8 @@ def state(self) -> str | None:
         """Calculate state of the node.
 
         If ``hash = False``, the function returns ``"0"``, a constant hash value, so the
-        [pytask.PythonNode][] is ignored when checking for a changed state of the task.
+        [`pytask.PythonNode`][] is ignored when checking for a changed state of the
+        task.
 
         If ``hash`` is a callable, then use this function to calculate a hash expecting
         an integer or string.
@@ -297,8 +298,8 @@ def state(self) -> str | None:
         ``hash("asd")`` returns a different value every invocation since the hash of
         strings is salted with a random integer and it would confuse users. See
         [`object.__hash__`](
-        https://docs.python.org/3/reference/datamodel.html#object.__hash__
-        ) for more information.
+        https://docs.python.org/3/reference/datamodel.html#object.__hash__ ) for more
+        information.
 
         """
         if self.value is no_default:

src/_pytask/scheduler.py

@@ -107,11 +107,11 @@ def rebuild(self, dag: DAG) -> SimpleScheduler:
 def _extract_priorities_from_tasks(tasks: list[PTask]) -> dict[str, int]:
     """Extract priorities from tasks.
 
-    Priorities are set via the [pytask.mark.try_first][] and [pytask.mark.try_last][]
-    markers. We recode these markers to numeric values to sort all available by
-    priorities. ``try_first`` is assigned the highest value such that it has the
-    rightmost position in the list. Then, we can simply call `list.pop` on the
-    list which is far more efficient than ``list.pop(0)``.
+    Priorities are set via the [`pytask.mark.try_first`][] and
+    [`pytask.mark.try_last`][] markers. We recode these markers to numeric values to
+    sort all available by priorities. ``try_first`` is assigned the highest value such
+    that it has the rightmost position in the list. Then, we can simply call `list.pop`
+    on the list which is far more efficient than ``list.pop(0)``.
 
     """
     priorities = {