[pre-commit.ci] pre-commit autoupdate

.pre-commit-config.yaml

@@ -3,25 +3,25 @@
 
 repos:
   - repo: https://github.com/psf/black
-    rev: 22.12.0
+    rev: 24.4.2
     hooks:
       - id: black
   - repo: https://github.com/pycqa/isort
-    rev: 5.12.0
+    rev: 5.13.2
     hooks:
       - id: isort
         name: isort (python)
         args: ["--profile", "black", "--filter-files", "--skip", "__init__.py"]
         files: ^dodiscover/
   - repo: https://github.com/pre-commit/mirrors-mypy
-    rev: "v0.971"
+    rev: "v1.10.1"
     hooks:
       - id: mypy
         name: mypy (dodiscover)
         args: ["--config-file", "pyproject.toml"]
         files: ^dodiscover/
   - repo: https://github.com/pre-commit/mirrors-mypy
-    rev: "v0.971"
+    rev: "v1.10.1"
     hooks:
       - id: mypy
         name: mypy (tests)

examples/intro/intro_causal_graphs.py

@@ -9,6 +9,7 @@
 and missing edge. We will review some of the fundamental causal graphs used
 in causal inference, and their differences from traditional graphs.
 """
+
 import networkx as nx
 import numpy as np
 import pandas as pd

examples/visualization/plot_timeseries_graphs.py

@@ -13,6 +13,7 @@
 
 For comparing different graphs with the same layout, see :ref:`ex-draw-graphs`
 """
+
 from pywhy_graphs import StationaryTimeSeriesDiGraph
 from pywhy_graphs.viz import draw, timeseries_layout
 

pywhy_graphs/_version.py

@@ -1,4 +1,5 @@
 """Version number."""
+
 from importlib.metadata import version  # type: ignore
 
 __version__ = version(__package__)

pywhy_graphs/classes/networkxprotocol.py

@@ -10,17 +10,13 @@ class NetworkXProtocol(Protocol):
     _adj: Dict
 
     @property
-    def nodes(self):
-        ...
+    def nodes(self): ...
 
     @property
-    def edges(self):
-        ...
+    def edges(self): ...
 
     @abstractmethod
-    def add_node(self, node):
-        ...
+    def add_node(self, node): ...
 
     @abstractmethod
-    def remove_edge(self, u, v):
-        ...
+    def remove_edge(self, u, v): ...