[pre-commit.ci] pre-commit autoupdate (#202)

* [pre-commit.ci] pre-commit autoupdate

updates:
- [github.com/pre-commit/pre-commit-hooks: v2.2.3 → v4.2.0](pre-commit/pre-commit-hooks@v2.2.3...v4.2.0)
- [github.com/psf/black: 20.8b1 → 22.3.0](psf/black@20.8b1...22.3.0)
- https://github.com/pre-commit/mirrors-isort → https://github.com/PyCQA/isort
- [github.com/PyCQA/isort: v5.6.4 → 5.10.1](PyCQA/isort@v5.6.4...5.10.1)

* Update .pre-commit-config.yaml

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Kevin Jablonka <[email protected]>

.pre-commit-config.yaml

@@ -1,6 +1,6 @@
 repos:
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v2.2.3
+    rev: v4.2.0
     hooks:
       - id: trailing-whitespace
       - id: check-yaml
@@ -42,7 +42,7 @@ repos:
 
 
   -   repo: https://github.com/psf/black
-      rev: 20.8b1
+      rev: 22.3.0
       hooks:
       -   id: black
           language_version: python3
@@ -51,20 +51,20 @@ repos:
           entry: black
           types: [python]
 
-  -   repo: https://github.com/pre-commit/mirrors-isort
-      rev: 'v5.6.4'  # Use the revision sha / tag you want to point at
+  -   repo: https://github.com/PyCQA/isort
+      rev: '5.10.1'  # Use the revision sha / tag you want to point at
       hooks:
       -   id: isort
           name: isort
-          language: system
+          language: python
           exclude: versioneer.py|pyepal/_version.py|^docs/
           types: [python]
           entry: isort
 
   - repo: local
     hooks:
       - id: pylint
-        language: system
+        language: python
         types: [file, python]
         exclude: versioneer.py|pyepal/_version.py|^docs|pyepal/pal/_hypervolume.py|pyepal/models/coregionalized.py/tests
         name: pylint

pyepal/pal/_hypervolume.py

@@ -79,7 +79,7 @@ def pop(self, index: int) -> None:
 
 
 class VectorLinkedList:
-    """ Linked list structure with list of VectorNodes as elements."""
+    """Linked list structure with list of VectorNodes as elements."""
 
     def __init__(self, dimension: int) -> None:
         self.dimension = dimension
@@ -120,7 +120,7 @@ def chain_length(self, index: int) -> int:
         return length
 
     def append(self, node: VectorNode, index: int) -> None:
-        """ Append a node to the `index`-th position."""
+        """Append a node to the `index`-th position."""
         current_last = self.sentinel.prev[index]
         assert current_last is not None
         node.next[index] = self.sentinel
@@ -327,7 +327,7 @@ def recursive_hypervolume(self, dimension: int) -> float:
         return hypervolume
 
     def skip_dominated_points(self, node: VectorNode, dimension: int) -> None:
-        """ Implements Algorithm 2, _skipdom_, for skipping dominated points."""
+        """Implements Algorithm 2, _skipdom_, for skipping dominated points."""
         if node.dominated_flag >= dimension:
             node.area[dimension] = node.prev[dimension].area[dimension]
         else:

tests/conftest.py

@@ -21,7 +21,7 @@
 
 def binh_korn(x, y):  # pylint:disable=invalid-name
     """https://en.wikipedia.org/wiki/Test_functions_for_optimization"""
-    obj1 = 4 * x ** 2 + 4 * y ** 2
+    obj1 = 4 * x**2 + 4 * y**2
     obj2 = (x - 5) ** 2 + (y - 5) ** 2
     return -obj1, -obj2
 

tests/test_models_gpy.py

@@ -56,7 +56,7 @@ def test_predict(make_random_dataset):
 
 
 def test_predict_coregionalized(make_random_dataset):
-    """"Test that the prediction utility for coregionalized models works"""
+    """ "Test that the prediction utility for coregionalized models works"""
     X, y = make_random_dataset  # pylint:disable=invalid-name
     m = build_coregionalized_model(X, y)  # pylint:disable=invalid-name
     prediction = predict_coregionalized(m, X)