[CHORE](deps)(deps): Bump the python-dependencies group with 2 updates

packages/overture-schema-codegen/docs/walkthrough.md

@@ -85,6 +85,7 @@ time, captures their `__doc__` attributes, then deletes the instances:
 class _DocstringProbeEnum(Enum):
     pass
 
+
 _ENUM_DEFAULT_DOCSTRING = _DocstringProbeEnum.__doc__
 del _DocstringProbeEnum
 ```

packages/overture-schema-common/README.md

@@ -16,6 +16,7 @@ Every Overture feature type inherits from `OvertureFeature`, which extends `syst
 from typing import Literal
 from overture.schema.common import OvertureFeature
 
+
 class Park(OvertureFeature[Literal["places"], Literal["park"]]):
     area_hectares: float | None = None
 ```
@@ -29,6 +30,7 @@ from pydantic import BaseModel
 from overture.schema.common.scoping import Scope, scoped
 from overture.schema.system.numeric import float32
 
+
 @scoped(Scope.GEOMETRIC_RANGE, Scope.TEMPORAL)
 class SpeedLimit(BaseModel):
     max_speed: float32
@@ -65,6 +67,7 @@ from typing import Literal
 from overture.schema.common import OvertureFeature
 from overture.schema.common.names import Named
 
+
 class Lake(OvertureFeature[Literal["base"], Literal["water"]], Named):
     pass  # inherits names: Names | None from Named
 ```

packages/overture-schema-system/README.md

@@ -17,10 +17,12 @@ from overture.schema.system.feature import Feature
 from overture.schema.system.geometric import Geometry
 from overture.schema.system.numeric import float32
 
+
 class Mountain(Feature):
     name: str
     max_elevation: float32
 
+
 m = Mountain(
     geometry=Geometry.from_wkt("POINT(86.9252 27.9888)"),
     name="Mount Everest",
@@ -36,6 +38,7 @@ Using `int` and `float` in a Pydantic model produces valid Python but loses info
 from pydantic import BaseModel
 from overture.schema.system.numeric import uint8, float32
 
+
 class Building(BaseModel):
     height: float32 | None = None
     num_floors: uint8 | None = None
@@ -48,7 +51,11 @@ Integer types: `uint8`, `uint16`, `uint32`, `int8`, `int16`, `int32`, `int64`. F
 `Geometry` and `BBox` wrap Shapely and GeoJSON-compatible geometry and bounding box values so they can participate in a Pydantic model as fields, with `GeometryType` and `GeometryTypeConstraint` available to restrict a `Geometry` field to specific geometry types:
 
 ```python
-from overture.schema.system.geometric import Geometry, GeometryType, GeometryTypeConstraint
+from overture.schema.system.geometric import (
+    Geometry,
+    GeometryType,
+    GeometryTypeConstraint,
+)
 ```
 
 Types: `Geometry`, `BBox`, `GeometryType`, `GeometryTypeConstraint`.
@@ -70,13 +77,17 @@ Annotations for Pydantic fields that enforce domain rules beyond what the type a
 ```python
 from typing import Annotated
 from pydantic import BaseModel, Field
-from overture.schema.system.field_constraint import UniqueItemsConstraint, PatternConstraint
+from overture.schema.system.field_constraint import (
+    UniqueItemsConstraint,
+    PatternConstraint,
+)
 
 OsmIdConstraint = PatternConstraint(
     pattern=r"^[nwr]\d+$",
     error_message="invalid OSM ID format: {value}. Must be n123, w123, or r123.",
 )
 
+
 class MyModel(BaseModel):
     osm_id: Annotated[str, OsmIdConstraint]
     tags: Annotated[list[str], UniqueItemsConstraint()] = Field(min_length=1)
@@ -92,6 +103,7 @@ Class-level decorators for cross-field validation -- relationships between field
 from pydantic import BaseModel
 from overture.schema.system.model_constraint import require_any_of
 
+
 @require_any_of("email", "phone")
 class Contact(BaseModel):
     email: str | None = None
@@ -114,9 +126,11 @@ Foreign-key-style annotations that describe relationships between models. These
 from typing import Annotated
 from overture.schema.system.ref import Id, Identified, Reference, Relationship
 
+
 class Park(Identified):
     pass
 
+
 class ParkBench(Identified):
     park_id: Annotated[Id, Reference(Relationship.BELONGS_TO, Park)]
 ```
@@ -180,6 +194,7 @@ from pydantic import BaseModel
 from overture.schema.system.discovery import ModelKey
 from overture.schema.system.feature import Feature
 
+
 def feature_provider(
     types: Iterable[type[BaseModel]],
     key: ModelKey,

packages/overture-schema/README.md

@@ -36,27 +36,22 @@ geojson_output = building.model_dump(mode="json")
 from overture.schema import (
     # Addresses theme
     Address,
-
     # Base theme
     Bathymetry,
     Infrastructure,
     Land,
     LandCover,
     LandUse,
     Water,
-
     # Buildings theme
     Building,
     BuildingPart,
-
     # Divisions theme
     Division,
     DivisionArea,
     DivisionBoundary,
-
     # Places theme
     Place,
-
     # Transportation theme
     Connector,
     Segment,
@@ -72,7 +67,7 @@ from overture.schema import parse, discover_models, json_schema
 from overture.schema import Building
 
 # Parse any Overture feature (auto-discovers all registered models)
-validated_feature = parse(feature_data, mode="json")    # Parses GeoJSON format
+validated_feature = parse(feature_data, mode="json")  # Parses GeoJSON format
 validated_feature = parse(feature_data, mode="python")  # Parses flat format
 
 # Discover all registered models programmatically