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

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

README.md

@@ -38,7 +38,7 @@ pprint(atom.dict())
 # {'charge': <Quantity(0.0, 'elementary_charge')>,
 #  'mass': <Quantity(12.011, 'unified_atomic_mass_unit')>,
 #  'some_array': <Quantity([ 4 -1  0], 'nanometer')>}
-# 
+#
 
 # Note that unit-bearing fields use custom serialization into a dict with separate key-val pairs for
 # the unit (as a string) and unitless quantities (in whatever shape the data is)

openff/models/dimension_types.py

@@ -2,18 +2,18 @@
 from typing import Annotated, Any
 
 from openff.units import Quantity
-from pydantic import AfterValidator, BeforeValidator
-
-from openff.models.types import json_loader
-
 from pydantic import (
+    AfterValidator,
     BaseModel,
+    BeforeValidator,
     ValidationError,
     ValidationInfo,
     ValidatorFunctionWrapHandler,
 )
 from pydantic.functional_validators import WrapValidator
 
+from openff.models.types import json_loader
+
 try:
     from openmm.unit import Quantity as OpenMMQuantity
 except ImportError:
@@ -39,24 +39,24 @@ def has_compatible_dimensionality(quantity: Quantity, unit: str) -> Quantity:
 
 
 def coerce_json_back_to_quantity(
-    v: Any,
-    handler: ValidatorFunctionWrapHandler,
-    info: ValidationInfo
+    v: Any, handler: ValidatorFunctionWrapHandler, info: ValidationInfo
 ) -> dict:
-    if info.mode == 'json':
+    if info.mode == "json":
         if isinstance(v, str):
 
             return Quantity(*json_loader(v).values())
         else:
-            raise ValueError('In JSON mode the input must be a string!')
+            raise ValueError("In JSON mode the input must be a string!")
 
-    if info.mode == 'python':
+    if info.mode == "python":
         if isinstance(v, dict):
             return Quantity(*v.values())
         elif isinstance(v, Quantity):
             return v
         else:
-            raise ValueError(f'In Python mode the input must be a dict! Found {type(v)}')
+            raise ValueError(
+                f"In Python mode the input must be a dict! Found {type(v)}"
+            )
 
     # maybe what is currently to_quantity should simply be wrapped into here?
 
@@ -69,8 +69,7 @@ def build_dimension_type(unit: str) -> type[Quantity]:
         Quantity,
         BeforeValidator(to_quantity),
         AfterValidator(partial(has_compatible_dimensionality, unit=unit)),
-        WrapValidator(coerce_json_back_to_quantity)
-
+        WrapValidator(coerce_json_back_to_quantity),
     ]