Fix pre-commit problems

src/schematools/contrib/django/faker/__init__.py

@@ -1,8 +1,9 @@
 from __future__ import annotations  # noqa: D104
 
+from collections.abc import Callable
 from dataclasses import dataclass
 from dataclasses import field as dataclass_field
-from typing import Any, Callable, ClassVar
+from typing import Any, ClassVar
 from urllib.parse import urlparse
 
 from django.conf import settings

src/schematools/contrib/django/management/commands/sqlmigrate_schema.py

@@ -109,8 +109,8 @@ def handle(self, *args, **options) -> None:
 
             with tempfile.TemporaryDirectory() as tmpdir:
                 schemas_root = Path(options["schema_url"]).parent
-                subprocess.run(
-                    ["git", "clone", schemas_root, tmpdir],  # noqa: S603
+                subprocess.run(                                 # noqa: S603
+                    ["git", "clone", schemas_root, tmpdir],  
                 )
                 table1 = self._load_table_from_checkout(
                     dataset.id, options["table"], tmpdir, options["version1"]
@@ -153,8 +153,8 @@ def _load_table_from_checkout(
         self, dataset_id: str, table_id: str, tmpdir: str, version_ref: str
     ) -> DatasetTableSchema:
         """Load a DatasetTableSchema for the specified git reference."""
-        subprocess.run(
-            ["git", "checkout", version_ref], cwd=tmpdir, stdout=subprocess.DEVNULL  # noqa: S603
+        subprocess.run( # noqa: S603
+            ["git", "checkout", version_ref], cwd=tmpdir, stdout=subprocess.DEVNULL  
         )
         tmp_schema_path = Path(tmpdir) / "datasets"
         # We create a specific schema loader, because it has to read in the data

src/schematools/loaders.py

@@ -1,11 +1,11 @@
 from __future__ import annotations
 
+from collections.abc import Callable
 import contextlib
 import json
 import os
 from functools import cached_property
 from pathlib import Path
-from typing import Callable
 from urllib.parse import urlparse
 
 import requests

src/schematools/types.py

@@ -10,13 +10,12 @@
 import sys
 import typing
 from collections import UserDict
-from collections.abc import Iterator, Mapping
+from collections.abc import Callable, Iterator, Mapping
 from enum import Enum
 from functools import cached_property, total_ordering
 from re import Pattern
 from typing import (
     Any,
-    Callable,
     ClassVar,
     NamedTuple,
     NoReturn,

src/schematools/validation.py

@@ -23,11 +23,11 @@
 
 import operator
 import re
-from collections.abc import Iterator
+from collections.abc import Callable, Iterator
 from dataclasses import dataclass
 from functools import partial, wraps
 from pathlib import Path
-from typing import Callable, cast
+from typing import cast
 from urllib.parse import urlparse
 
 from schematools import MAX_TABLE_NAME_LENGTH

tests/django/test_model_mockers.py

@@ -83,7 +83,7 @@ def test_model_mocker_factory_sets_model_mocker_dataset_and_table_schema_through
         == "<class 'dso_api.dynamic_api.afvalwegingen.models.containers'>"
     )
 
-    assert type(AfvalwegingenContainersModel.get_dataset()) == Dataset
+    assert isinstance(AfvalwegingenContainersModel.get_dataset(), Dataset)
     assert AfvalwegingenContainersModel.get_dataset() == afval_dataset
     assert str(AfvalwegingenContainersModel.get_dataset()) == "afvalwegingen"
 
@@ -123,14 +123,14 @@ def test_schema_model_mockers_factory(afval_dataset):
     }
     assert "containers" in model_mockers
     ContainersMocker = model_mockers["containers"]
-    assert type(ContainersMocker) == FactoryMetaClass
+    assert isinstance(ContainersMocker, FactoryMetaClass)
     assert str(ContainersMocker) == (
         "<containers_factory for <class 'dso_api.dynamic_api.afvalwegingen.models.containers'>>"
     )
 
     assert "clusters" in model_mockers
     ClustersMocker = model_mockers["clusters"]
-    assert type(ClustersMocker) == FactoryMetaClass
+    assert isinstance(ClustersMocker, FactoryMetaClass)
     assert str(ClustersMocker) == (
         "<clusters_factory for <class 'dso_api.dynamic_api.afvalwegingen.models.clusters'>>"
     )