no venv

22 files changed, 0 insertions, 2290 deletions

diff --git a/venv/lib/python3.11/site-packages/litestar/dto/__init__.py b/venv/lib/python3.11/site-packages/litestar/dto/__init__.py
deleted file mode 100644
index 052e6a4..0000000
--- a/venv/lib/python3.11/site-packages/litestar/dto/__init__.py
+++ /dev/null
@@ -1,20 +0,0 @@
-from .base_dto import AbstractDTO
-from .config import DTOConfig
-from .data_structures import DTOData, DTOFieldDefinition
-from .dataclass_dto import DataclassDTO
-from .field import DTOField, Mark, dto_field
-from .msgspec_dto import MsgspecDTO
-from .types import RenameStrategy
-
-__all__ = (
-    "AbstractDTO",
-    "DTOConfig",
-    "DTOData",
-    "DTOField",
-    "DTOFieldDefinition",
-    "DataclassDTO",
-    "Mark",
-    "MsgspecDTO",
-    "RenameStrategy",
-    "dto_field",
-)
diff --git a/venv/lib/python3.11/site-packages/litestar/dto/__pycache__/__init__.cpython-311.pyc b/venv/lib/python3.11/site-packages/litestar/dto/__pycache__/__init__.cpython-311.pyc
deleted file mode 100644
index 7551946..0000000
--- a/venv/lib/python3.11/site-packages/litestar/dto/__pycache__/__init__.cpython-311.pyc
+++ /dev/null
diff --git a/venv/lib/python3.11/site-packages/litestar/dto/__pycache__/_backend.cpython-311.pyc b/venv/lib/python3.11/site-packages/litestar/dto/__pycache__/_backend.cpython-311.pyc
deleted file mode 100644
index d39aea9..0000000
--- a/venv/lib/python3.11/site-packages/litestar/dto/__pycache__/_backend.cpython-311.pyc
+++ /dev/null
diff --git a/venv/lib/python3.11/site-packages/litestar/dto/__pycache__/_codegen_backend.cpython-311.pyc b/venv/lib/python3.11/site-packages/litestar/dto/__pycache__/_codegen_backend.cpython-311.pyc
deleted file mode 100644
index 610f4b4..0000000
--- a/venv/lib/python3.11/site-packages/litestar/dto/__pycache__/_codegen_backend.cpython-311.pyc
+++ /dev/null
diff --git a/venv/lib/python3.11/site-packages/litestar/dto/__pycache__/_types.cpython-311.pyc b/venv/lib/python3.11/site-packages/litestar/dto/__pycache__/_types.cpython-311.pyc
deleted file mode 100644
index 53877b3..0000000
--- a/venv/lib/python3.11/site-packages/litestar/dto/__pycache__/_types.cpython-311.pyc
+++ /dev/null
diff --git a/venv/lib/python3.11/site-packages/litestar/dto/__pycache__/base_dto.cpython-311.pyc b/venv/lib/python3.11/site-packages/litestar/dto/__pycache__/base_dto.cpython-311.pyc
deleted file mode 100644
index eb9af7a..0000000
--- a/venv/lib/python3.11/site-packages/litestar/dto/__pycache__/base_dto.cpython-311.pyc
+++ /dev/null
diff --git a/venv/lib/python3.11/site-packages/litestar/dto/__pycache__/config.cpython-311.pyc b/venv/lib/python3.11/site-packages/litestar/dto/__pycache__/config.cpython-311.pyc
deleted file mode 100644
index ba3f03d..0000000
--- a/venv/lib/python3.11/site-packages/litestar/dto/__pycache__/config.cpython-311.pyc
+++ /dev/null
diff --git a/venv/lib/python3.11/site-packages/litestar/dto/__pycache__/data_structures.cpython-311.pyc b/venv/lib/python3.11/site-packages/litestar/dto/__pycache__/data_structures.cpython-311.pyc
deleted file mode 100644
index 785f3b0..0000000
--- a/venv/lib/python3.11/site-packages/litestar/dto/__pycache__/data_structures.cpython-311.pyc
+++ /dev/null
diff --git a/venv/lib/python3.11/site-packages/litestar/dto/__pycache__/dataclass_dto.cpython-311.pyc b/venv/lib/python3.11/site-packages/litestar/dto/__pycache__/dataclass_dto.cpython-311.pyc
deleted file mode 100644
index 2388d4a..0000000
--- a/venv/lib/python3.11/site-packages/litestar/dto/__pycache__/dataclass_dto.cpython-311.pyc
+++ /dev/null
diff --git a/venv/lib/python3.11/site-packages/litestar/dto/__pycache__/field.cpython-311.pyc b/venv/lib/python3.11/site-packages/litestar/dto/__pycache__/field.cpython-311.pyc
deleted file mode 100644
index a6d1cbb..0000000
--- a/venv/lib/python3.11/site-packages/litestar/dto/__pycache__/field.cpython-311.pyc
+++ /dev/null
diff --git a/venv/lib/python3.11/site-packages/litestar/dto/__pycache__/msgspec_dto.cpython-311.pyc b/venv/lib/python3.11/site-packages/litestar/dto/__pycache__/msgspec_dto.cpython-311.pyc
deleted file mode 100644
index 0d15d6b..0000000
--- a/venv/lib/python3.11/site-packages/litestar/dto/__pycache__/msgspec_dto.cpython-311.pyc
+++ /dev/null
diff --git a/venv/lib/python3.11/site-packages/litestar/dto/__pycache__/types.cpython-311.pyc b/venv/lib/python3.11/site-packages/litestar/dto/__pycache__/types.cpython-311.pyc
deleted file mode 100644
index ec01cd4..0000000
--- a/venv/lib/python3.11/site-packages/litestar/dto/__pycache__/types.cpython-311.pyc
+++ /dev/null
diff --git a/venv/lib/python3.11/site-packages/litestar/dto/_backend.py b/venv/lib/python3.11/site-packages/litestar/dto/_backend.py
deleted file mode 100644
index 1c48dc0..0000000
--- a/venv/lib/python3.11/site-packages/litestar/dto/_backend.py
+++ /dev/null
@@ -1,911 +0,0 @@
-"""DTO backends do the heavy lifting of decoding and validating raw bytes into domain models, and
-back again, to bytes.
-"""
-
-from __future__ import annotations
-
-from dataclasses import replace
-from typing import (
-    TYPE_CHECKING,
-    AbstractSet,
-    Any,
-    ClassVar,
-    Collection,
-    Final,
-    Mapping,
-    Protocol,
-    Union,
-    cast,
-)
-
-import msgspec
-from msgspec import UNSET, Struct, UnsetType, convert, defstruct, field
-from typing_extensions import Annotated
-
-from litestar.dto._types import (
-    CollectionType,
-    CompositeType,
-    MappingType,
-    NestedFieldInfo,
-    SimpleType,
-    TransferDTOFieldDefinition,
-    TransferType,
-    TupleType,
-    UnionType,
-)
-from litestar.dto.data_structures import DTOData, DTOFieldDefinition
-from litestar.dto.field import Mark
-from litestar.enums import RequestEncodingType
-from litestar.params import KwargDefinition
-from litestar.serialization import decode_json, decode_msgpack
-from litestar.types import Empty
-from litestar.typing import FieldDefinition
-from litestar.utils import unique_name_for_scope
-
-if TYPE_CHECKING:
-    from litestar.connection import ASGIConnection
-    from litestar.dto import AbstractDTO, RenameStrategy
-    from litestar.types.serialization import LitestarEncodableType
-
-__all__ = ("DTOBackend",)
-
-
-class CompositeTypeHandler(Protocol):
-    def __call__(
-        self,
-        field_definition: FieldDefinition,
-        exclude: AbstractSet[str],
-        include: AbstractSet[str],
-        rename_fields: dict[str, str],
-        unique_name: str,
-        nested_depth: int,
-    ) -> CompositeType: ...
-
-
-class DTOBackend:
-    __slots__ = (
-        "annotation",
-        "dto_data_type",
-        "dto_factory",
-        "field_definition",
-        "handler_id",
-        "is_data_field",
-        "model_type",
-        "parsed_field_definitions",
-        "reverse_name_map",
-        "transfer_model_type",
-        "wrapper_attribute_name",
-    )
-
-    _seen_model_names: ClassVar[set[str]] = set()
-
-    def __init__(
-        self,
-        dto_factory: type[AbstractDTO],
-        field_definition: FieldDefinition,
-        handler_id: str,
-        is_data_field: bool,
-        model_type: type[Any],
-        wrapper_attribute_name: str | None,
-    ) -> None:
-        """Create dto backend instance.
-
-        Args:
-            dto_factory: The DTO factory class calling this backend.
-            field_definition: Parsed type.
-            handler_id: The name of the handler that this backend is for.
-            is_data_field: Whether the field is a subclass of DTOData.
-            model_type: Model type.
-            wrapper_attribute_name: If the data that DTO should operate upon is wrapped in a generic datastructure, this is the name of the attribute that the data is stored in.
-        """
-        self.dto_factory: Final[type[AbstractDTO]] = dto_factory
-        self.field_definition: Final[FieldDefinition] = field_definition
-        self.is_data_field: Final[bool] = is_data_field
-        self.handler_id: Final[str] = handler_id
-        self.model_type: Final[type[Any]] = model_type
-        self.wrapper_attribute_name: Final[str | None] = wrapper_attribute_name
-
-        self.parsed_field_definitions = self.parse_model(
-            model_type=model_type,
-            exclude=self.dto_factory.config.exclude,
-            include=self.dto_factory.config.include,
-            rename_fields=self.dto_factory.config.rename_fields,
-        )
-        self.transfer_model_type = self.create_transfer_model_type(
-            model_name=model_type.__name__, field_definitions=self.parsed_field_definitions
-        )
-        self.dto_data_type: type[DTOData] | None = None
-
-        if field_definition.is_subclass_of(DTOData):
-            self.dto_data_type = field_definition.annotation
-            field_definition = self.field_definition.inner_types[0]
-
-        self.annotation = build_annotation_for_backend(model_type, field_definition, self.transfer_model_type)
-
-    def parse_model(
-        self,
-        model_type: Any,
-        exclude: AbstractSet[str],
-        include: AbstractSet[str],
-        rename_fields: dict[str, str],
-        nested_depth: int = 0,
-    ) -> tuple[TransferDTOFieldDefinition, ...]:
-        """Reduce :attr:`model_type` to a tuple :class:`TransferDTOFieldDefinition` instances.
-
-        Returns:
-        Fields for data transfer.
-        """
-        defined_fields = []
-        generic_field_definitons = list(FieldDefinition.from_annotation(model_type).generic_types or ())
-        for field_definition in self.dto_factory.generate_field_definitions(model_type):
-            if field_definition.is_type_var:
-                base_arg_field = generic_field_definitons.pop()
-                field_definition = replace(
-                    field_definition, annotation=base_arg_field.annotation, raw=base_arg_field.raw
-                )
-
-            if _should_mark_private(field_definition, self.dto_factory.config.underscore_fields_private):
-                field_definition.dto_field.mark = Mark.PRIVATE
-
-            try:
-                transfer_type = self._create_transfer_type(
-                    field_definition=field_definition,
-                    exclude=exclude,
-                    include=include,
-                    rename_fields=rename_fields,
-                    field_name=field_definition.name,
-                    unique_name=field_definition.model_name,
-                    nested_depth=nested_depth,
-                )
-            except RecursionError:
-                continue
-
-            transfer_field_definition = TransferDTOFieldDefinition.from_dto_field_definition(
-                field_definition=field_definition,
-                serialization_name=rename_fields.get(field_definition.name),
-                transfer_type=transfer_type,
-                is_partial=self.dto_factory.config.partial,
-                is_excluded=_should_exclude_field(
-                    field_definition=field_definition,
-                    exclude=exclude,
-                    include=include,
-                    is_data_field=self.is_data_field,
-                ),
-            )
-            defined_fields.append(transfer_field_definition)
-        return tuple(defined_fields)
-
-    def _create_transfer_model_name(self, model_name: str) -> str:
-        long_name_prefix = self.handler_id.split("::")[0]
-        short_name_prefix = _camelize(long_name_prefix.split(".")[-1], True)
-
-        name_suffix = "RequestBody" if self.is_data_field else "ResponseBody"
-
-        if (short_name := f"{short_name_prefix}{model_name}{name_suffix}") not in self._seen_model_names:
-            name = short_name
-        elif (long_name := f"{long_name_prefix}{model_name}{name_suffix}") not in self._seen_model_names:
-            name = long_name
-        else:
-            name = unique_name_for_scope(long_name, self._seen_model_names)
-
-        self._seen_model_names.add(name)
-
-        return name
-
-    def create_transfer_model_type(
-        self,
-        model_name: str,
-        field_definitions: tuple[TransferDTOFieldDefinition, ...],
-    ) -> type[Struct]:
-        """Create a model for data transfer.
-
-        Args:
-            model_name: name for the type that should be unique across all transfer types.
-            field_definitions: field definitions for the container type.
-
-        Returns:
-            A ``BackendT`` class.
-        """
-        struct_name = self._create_transfer_model_name(model_name)
-
-        struct = _create_struct_for_field_definitions(
-            struct_name, field_definitions, self.dto_factory.config.rename_strategy
-        )
-        setattr(struct, "__schema_name__", struct_name)
-        return struct
-
-    def parse_raw(self, raw: bytes, asgi_connection: ASGIConnection) -> Struct | Collection[Struct]:
-        """Parse raw bytes into transfer model type.
-
-        Args:
-            raw: bytes
-            asgi_connection: The current ASGI Connection
-
-        Returns:
-            The raw bytes parsed into transfer model type.
-        """
-        request_encoding = RequestEncodingType.JSON
-
-        if (content_type := getattr(asgi_connection, "content_type", None)) and (media_type := content_type[0]):
-            request_encoding = media_type
-
-        type_decoders = asgi_connection.route_handler.resolve_type_decoders()
-
-        if request_encoding == RequestEncodingType.MESSAGEPACK:
-            result = decode_msgpack(value=raw, target_type=self.annotation, type_decoders=type_decoders)
-        else:
-            result = decode_json(value=raw, target_type=self.annotation, type_decoders=type_decoders)
-
-        return cast("Struct | Collection[Struct]", result)
-
-    def parse_builtins(self, builtins: Any, asgi_connection: ASGIConnection) -> Any:
-        """Parse builtin types into transfer model type.
-
-        Args:
-            builtins: Builtin type.
-            asgi_connection: The current ASGI Connection
-
-        Returns:
-            The builtin type parsed into transfer model type.
-        """
-        return convert(
-            obj=builtins,
-            type=self.annotation,
-            dec_hook=asgi_connection.route_handler.default_deserializer,
-            strict=False,
-            str_keys=True,
-        )
-
-    def populate_data_from_builtins(self, builtins: Any, asgi_connection: ASGIConnection) -> Any:
-        """Populate model instance from builtin types.
-
-        Args:
-            builtins: Builtin type.
-            asgi_connection: The current ASGI Connection
-
-        Returns:
-            Instance or collection of ``model_type`` instances.
-        """
-        if self.dto_data_type:
-            return self.dto_data_type(
-                backend=self,
-                data_as_builtins=_transfer_data(
-                    destination_type=dict,
-                    source_data=self.parse_builtins(builtins, asgi_connection),
-                    field_definitions=self.parsed_field_definitions,
-                    field_definition=self.field_definition,
-                    is_data_field=self.is_data_field,
-                ),
-            )
-        return self.transfer_data_from_builtins(self.parse_builtins(builtins, asgi_connection))
-
-    def transfer_data_from_builtins(self, builtins: Any) -> Any:
-        """Populate model instance from builtin types.
-
-        Args:
-            builtins: Builtin type.
-
-        Returns:
-            Instance or collection of ``model_type`` instances.
-        """
-        return _transfer_data(
-            destination_type=self.model_type,
-            source_data=builtins,
-            field_definitions=self.parsed_field_definitions,
-            field_definition=self.field_definition,
-            is_data_field=self.is_data_field,
-        )
-
-    def populate_data_from_raw(self, raw: bytes, asgi_connection: ASGIConnection) -> Any:
-        """Parse raw bytes into instance of `model_type`.
-
-        Args:
-            raw: bytes
-            asgi_connection: The current ASGI Connection
-
-        Returns:
-            Instance or collection of ``model_type`` instances.
-        """
-        if self.dto_data_type:
-            return self.dto_data_type(
-                backend=self,
-                data_as_builtins=_transfer_data(
-                    destination_type=dict,
-                    source_data=self.parse_raw(raw, asgi_connection),
-                    field_definitions=self.parsed_field_definitions,
-                    field_definition=self.field_definition,
-                    is_data_field=self.is_data_field,
-                ),
-            )
-        return _transfer_data(
-            destination_type=self.model_type,
-            source_data=self.parse_raw(raw, asgi_connection),
-            field_definitions=self.parsed_field_definitions,
-            field_definition=self.field_definition,
-            is_data_field=self.is_data_field,
-        )
-
-    def encode_data(self, data: Any) -> LitestarEncodableType:
-        """Encode data into a ``LitestarEncodableType``.
-
-        Args:
-            data: Data to encode.
-
-        Returns:
-            Encoded data.
-        """
-        if self.wrapper_attribute_name:
-            wrapped_transfer = _transfer_data(
-                destination_type=self.transfer_model_type,
-                source_data=getattr(data, self.wrapper_attribute_name),
-                field_definitions=self.parsed_field_definitions,
-                field_definition=self.field_definition,
-                is_data_field=self.is_data_field,
-            )
-            setattr(
-                data,
-                self.wrapper_attribute_name,
-                wrapped_transfer,
-            )
-            return cast("LitestarEncodableType", data)
-
-        return cast(
-            "LitestarEncodableType",
-            _transfer_data(
-                destination_type=self.transfer_model_type,
-                source_data=data,
-                field_definitions=self.parsed_field_definitions,
-                field_definition=self.field_definition,
-                is_data_field=self.is_data_field,
-            ),
-        )
-
-    def _get_handler_for_field_definition(self, field_definition: FieldDefinition) -> CompositeTypeHandler | None:
-        if field_definition.is_union:
-            return self._create_union_type
-
-        if field_definition.is_tuple:
-            if len(field_definition.inner_types) == 2 and field_definition.inner_types[1].annotation is Ellipsis:
-                return self._create_collection_type
-            return self._create_tuple_type
-
-        if field_definition.is_mapping:
-            return self._create_mapping_type
-
-        if field_definition.is_non_string_collection:
-            return self._create_collection_type
-        return None
-
-    def _create_transfer_type(
-        self,
-        field_definition: FieldDefinition,
-        exclude: AbstractSet[str],
-        include: AbstractSet[str],
-        rename_fields: dict[str, str],
-        field_name: str,
-        unique_name: str,
-        nested_depth: int,
-    ) -> CompositeType | SimpleType:
-        exclude = _filter_nested_field(exclude, field_name)
-        include = _filter_nested_field(include, field_name)
-        rename_fields = _filter_nested_field_mapping(rename_fields, field_name)
-
-        if composite_type_handler := self._get_handler_for_field_definition(field_definition):
-            return composite_type_handler(
-                field_definition=field_definition,
-                exclude=exclude,
-                include=include,
-                rename_fields=rename_fields,
-                unique_name=unique_name,
-                nested_depth=nested_depth,
-            )
-
-        transfer_model: NestedFieldInfo | None = None
-
-        if self.dto_factory.detect_nested_field(field_definition):
-            if nested_depth == self.dto_factory.config.max_nested_depth:
-                raise RecursionError
-
-            nested_field_definitions = self.parse_model(
-                model_type=field_definition.annotation,
-                exclude=exclude,
-                include=include,
-                rename_fields=rename_fields,
-                nested_depth=nested_depth + 1,
-            )
-
-            transfer_model = NestedFieldInfo(
-                model=self.create_transfer_model_type(unique_name, nested_field_definitions),
-                field_definitions=nested_field_definitions,
-            )
-
-        return SimpleType(field_definition, nested_field_info=transfer_model)
-
-    def _create_collection_type(
-        self,
-        field_definition: FieldDefinition,
-        exclude: AbstractSet[str],
-        include: AbstractSet[str],
-        rename_fields: dict[str, str],
-        unique_name: str,
-        nested_depth: int,
-    ) -> CollectionType:
-        inner_types = field_definition.inner_types
-        inner_type = self._create_transfer_type(
-            field_definition=inner_types[0] if inner_types else FieldDefinition.from_annotation(Any),
-            exclude=exclude,
-            include=include,
-            field_name="0",
-            unique_name=f"{unique_name}_0",
-            nested_depth=nested_depth,
-            rename_fields=rename_fields,
-        )
-        return CollectionType(
-            field_definition=field_definition, inner_type=inner_type, has_nested=inner_type.has_nested
-        )
-
-    def _create_mapping_type(
-        self,
-        field_definition: FieldDefinition,
-        exclude: AbstractSet[str],
-        include: AbstractSet[str],
-        rename_fields: dict[str, str],
-        unique_name: str,
-        nested_depth: int,
-    ) -> MappingType:
-        inner_types = field_definition.inner_types
-        key_type = self._create_transfer_type(
-            field_definition=inner_types[0] if inner_types else FieldDefinition.from_annotation(Any),
-            exclude=exclude,
-            include=include,
-            field_name="0",
-            unique_name=f"{unique_name}_0",
-            nested_depth=nested_depth,
-            rename_fields=rename_fields,
-        )
-        value_type = self._create_transfer_type(
-            field_definition=inner_types[1] if inner_types else FieldDefinition.from_annotation(Any),
-            exclude=exclude,
-            include=include,
-            field_name="1",
-            unique_name=f"{unique_name}_1",
-            nested_depth=nested_depth,
-            rename_fields=rename_fields,
-        )
-        return MappingType(
-            field_definition=field_definition,
-            key_type=key_type,
-            value_type=value_type,
-            has_nested=key_type.has_nested or value_type.has_nested,
-        )
-
-    def _create_tuple_type(
-        self,
-        field_definition: FieldDefinition,
-        exclude: AbstractSet[str],
-        include: AbstractSet[str],
-        rename_fields: dict[str, str],
-        unique_name: str,
-        nested_depth: int,
-    ) -> TupleType:
-        inner_types = tuple(
-            self._create_transfer_type(
-                field_definition=inner_type,
-                exclude=exclude,
-                include=include,
-                field_name=str(i),
-                unique_name=f"{unique_name}_{i}",
-                nested_depth=nested_depth,
-                rename_fields=rename_fields,
-            )
-            for i, inner_type in enumerate(field_definition.inner_types)
-        )
-        return TupleType(
-            field_definition=field_definition,
-            inner_types=inner_types,
-            has_nested=any(t.has_nested for t in inner_types),
-        )
-
-    def _create_union_type(
-        self,
-        field_definition: FieldDefinition,
-        exclude: AbstractSet[str],
-        include: AbstractSet[str],
-        rename_fields: dict[str, str],
-        unique_name: str,
-        nested_depth: int,
-    ) -> UnionType:
-        inner_types = tuple(
-            self._create_transfer_type(
-                field_definition=inner_type,
-                exclude=exclude,
-                include=include,
-                field_name=str(i),
-                unique_name=f"{unique_name}_{i}",
-                nested_depth=nested_depth,
-                rename_fields=rename_fields,
-            )
-            for i, inner_type in enumerate(field_definition.inner_types)
-        )
-        return UnionType(
-            field_definition=field_definition,
-            inner_types=inner_types,
-            has_nested=any(t.has_nested for t in inner_types),
-        )
-
-
-def _camelize(value: str, capitalize_first_letter: bool) -> str:
-    return "".join(
-        word if index == 0 and not capitalize_first_letter else word.capitalize()
-        for index, word in enumerate(value.split("_"))
-    )
-
-
-def _filter_nested_field(field_name_set: AbstractSet[str], field_name: str) -> AbstractSet[str]:
-    """Filter a nested field name."""
-    return {split[1] for s in field_name_set if (split := s.split(".", 1))[0] == field_name and len(split) > 1}
-
-
-def _filter_nested_field_mapping(field_name_mapping: Mapping[str, str], field_name: str) -> dict[str, str]:
-    """Filter a nested field name."""
-    return {
-        split[1]: v
-        for s, v in field_name_mapping.items()
-        if (split := s.split(".", 1))[0] == field_name and len(split) > 1
-    }
-
-
-def _transfer_data(
-    destination_type: type[Any],
-    source_data: Any | Collection[Any],
-    field_definitions: tuple[TransferDTOFieldDefinition, ...],
-    field_definition: FieldDefinition,
-    is_data_field: bool,
-) -> Any:
-    """Create instance or iterable of instances of ``destination_type``.
-
-    Args:
-        destination_type: the model type received by the DTO on type narrowing.
-        source_data: data that has been parsed and validated via the backend.
-        field_definitions: model field definitions.
-        field_definition: the parsed type that represents the handler annotation for which the DTO is being applied.
-        is_data_field: whether the DTO is being applied to a ``data`` field.
-
-    Returns:
-        Data parsed into ``destination_type``.
-    """
-    if field_definition.is_non_string_collection:
-        if not field_definition.is_mapping:
-            return field_definition.instantiable_origin(
-                _transfer_data(
-                    destination_type=destination_type,
-                    source_data=item,
-                    field_definitions=field_definitions,
-                    field_definition=field_definition.inner_types[0],
-                    is_data_field=is_data_field,
-                )
-                for item in source_data
-            )
-        return field_definition.instantiable_origin(
-            (
-                key,
-                _transfer_data(
-                    destination_type=destination_type,
-                    source_data=value,
-                    field_definitions=field_definitions,
-                    field_definition=field_definition.inner_types[1],
-                    is_data_field=is_data_field,
-                ),
-            )
-            for key, value in source_data.items()  # type: ignore[union-attr]
-        )
-
-    return _transfer_instance_data(
-        destination_type=destination_type,
-        source_instance=source_data,
-        field_definitions=field_definitions,
-        is_data_field=is_data_field,
-    )
-
-
-def _transfer_instance_data(
-    destination_type: type[Any],
-    source_instance: Any,
-    field_definitions: tuple[TransferDTOFieldDefinition, ...],
-    is_data_field: bool,
-) -> Any:
-    """Create instance of ``destination_type`` with data from ``source_instance``.
-
-    Args:
-        destination_type: the model type received by the DTO on type narrowing.
-        source_instance: primitive data that has been parsed and validated via the backend.
-        field_definitions: model field definitions.
-        is_data_field: whether the given field is a 'data' kwarg field.
-
-    Returns:
-        Data parsed into ``model_type``.
-    """
-    unstructured_data = {}
-
-    for field_definition in field_definitions:
-        if not is_data_field:
-            if field_definition.is_excluded:
-                continue
-        elif not (
-            field_definition.name in source_instance
-            if isinstance(source_instance, Mapping)
-            else hasattr(source_instance, field_definition.name)
-        ):
-            continue
-
-        transfer_type = field_definition.transfer_type
-        source_value = (
-            source_instance[field_definition.name]
-            if isinstance(source_instance, Mapping)
-            else getattr(source_instance, field_definition.name)
-        )
-
-        if field_definition.is_partial and is_data_field and source_value is UNSET:
-            continue
-
-        unstructured_data[field_definition.name] = _transfer_type_data(
-            source_value=source_value,
-            transfer_type=transfer_type,
-            nested_as_dict=destination_type is dict,
-            is_data_field=is_data_field,
-        )
-
-    return destination_type(**unstructured_data)
-
-
-def _transfer_type_data(
-    source_value: Any,
-    transfer_type: TransferType,
-    nested_as_dict: bool,
-    is_data_field: bool,
-) -> Any:
-    if isinstance(transfer_type, SimpleType) and transfer_type.nested_field_info:
-        if nested_as_dict:
-            destination_type: Any = dict
-        elif is_data_field:
-            destination_type = transfer_type.field_definition.annotation
-        else:
-            destination_type = transfer_type.nested_field_info.model
-
-        return _transfer_instance_data(
-            destination_type=destination_type,
-            source_instance=source_value,
-            field_definitions=transfer_type.nested_field_info.field_definitions,
-            is_data_field=is_data_field,
-        )
-
-    if isinstance(transfer_type, UnionType) and transfer_type.has_nested:
-        return _transfer_nested_union_type_data(
-            transfer_type=transfer_type,
-            source_value=source_value,
-            is_data_field=is_data_field,
-        )
-
-    if isinstance(transfer_type, CollectionType):
-        if transfer_type.has_nested:
-            return transfer_type.field_definition.instantiable_origin(
-                _transfer_type_data(
-                    source_value=item,
-                    transfer_type=transfer_type.inner_type,
-                    nested_as_dict=False,
-                    is_data_field=is_data_field,
-                )
-                for item in source_value
-            )
-
-        return transfer_type.field_definition.instantiable_origin(source_value)
-    return source_value
-
-
-def _transfer_nested_union_type_data(
-    transfer_type: UnionType,
-    source_value: Any,
-    is_data_field: bool,
-) -> Any:
-    for inner_type in transfer_type.inner_types:
-        if isinstance(inner_type, CompositeType):
-            raise RuntimeError("Composite inner types not (yet) supported for nested unions.")
-
-        if inner_type.nested_field_info and isinstance(
-            source_value,
-            inner_type.nested_field_info.model if is_data_field else inner_type.field_definition.annotation,
-        ):
-            return _transfer_instance_data(
-                destination_type=inner_type.field_definition.annotation
-                if is_data_field
-                else inner_type.nested_field_info.model,
-                source_instance=source_value,
-                field_definitions=inner_type.nested_field_info.field_definitions,
-                is_data_field=is_data_field,
-            )
-    return source_value
-
-
-def _create_msgspec_field(field_definition: TransferDTOFieldDefinition) -> Any:
-    kwargs: dict[str, Any] = {}
-    if field_definition.is_partial:
-        kwargs["default"] = UNSET
-
-    elif field_definition.default is not Empty:
-        kwargs["default"] = field_definition.default
-
-    elif field_definition.default_factory is not None:
-        kwargs["default_factory"] = field_definition.default_factory
-
-    if field_definition.serialization_name is not None:
-        kwargs["name"] = field_definition.serialization_name
-
-    return field(**kwargs)
-
-
-def _create_struct_field_meta_for_field_definition(field_definition: TransferDTOFieldDefinition) -> msgspec.Meta | None:
-    if (kwarg_definition := field_definition.kwarg_definition) is None or not isinstance(
-        kwarg_definition, KwargDefinition
-    ):
-        return None
-
-    return msgspec.Meta(
-        description=kwarg_definition.description,
-        examples=[e.value for e in kwarg_definition.examples or []],
-        ge=kwarg_definition.ge,
-        gt=kwarg_definition.gt,
-        le=kwarg_definition.le,
-        lt=kwarg_definition.lt,
-        max_length=kwarg_definition.max_length if not field_definition.is_partial else None,
-        min_length=kwarg_definition.min_length if not field_definition.is_partial else None,
-        multiple_of=kwarg_definition.multiple_of,
-        pattern=kwarg_definition.pattern,
-        title=kwarg_definition.title,
-    )
-
-
-def _create_struct_for_field_definitions(
-    model_name: str,
-    field_definitions: tuple[TransferDTOFieldDefinition, ...],
-    rename_strategy: RenameStrategy | dict[str, str] | None,
-) -> type[Struct]:
-    struct_fields: list[tuple[str, type] | tuple[str, type, type]] = []
-
-    for field_definition in field_definitions:
-        if field_definition.is_excluded:
-            continue
-
-        field_type = _create_transfer_model_type_annotation(field_definition.transfer_type)
-        if field_definition.is_partial:
-            field_type = Union[field_type, UnsetType]
-
-        if (field_meta := _create_struct_field_meta_for_field_definition(field_definition)) is not None:
-            field_type = Annotated[field_type, field_meta]
-
-        struct_fields.append(
-            (
-                field_definition.name,
-                field_type,
-                _create_msgspec_field(field_definition),
-            )
-        )
-    return defstruct(model_name, struct_fields, frozen=True, kw_only=True, rename=rename_strategy)
-
-
-def build_annotation_for_backend(
-    model_type: type[Any], field_definition: FieldDefinition, transfer_model: type[Struct]
-) -> Any:
-    """A helper to re-build a generic outer type with new inner type.
-
-    Args:
-        model_type: The original model type.
-        field_definition: The parsed type that represents the handler annotation for which the DTO is being applied.
-        transfer_model: The transfer model generated to represent the model type.
-
-    Returns:
-        Annotation with new inner type if applicable.
-    """
-    if not field_definition.inner_types:
-        if field_definition.is_subclass_of(model_type):
-            return transfer_model
-        return field_definition.annotation
-
-    inner_types = tuple(
-        build_annotation_for_backend(model_type, inner_type, transfer_model)
-        for inner_type in field_definition.inner_types
-    )
-
-    return field_definition.safe_generic_origin[inner_types]
-
-
-def _should_mark_private(field_definition: DTOFieldDefinition, underscore_fields_private: bool) -> bool:
-    """Returns ``True`` where a field should be marked as private.
-
-    Fields should be marked as private when:
-    - the ``underscore_fields_private`` flag is set.
-    - the field is not already marked.
-    - the field name is prefixed with an underscore
-
-    Args:
-        field_definition: defined DTO field
-        underscore_fields_private: whether fields prefixed with an underscore should be marked as private.
-    """
-    return bool(
-        underscore_fields_private and field_definition.dto_field.mark is None and field_definition.name.startswith("_")
-    )
-
-
-def _should_exclude_field(
-    field_definition: DTOFieldDefinition, exclude: AbstractSet[str], include: AbstractSet[str], is_data_field: bool
-) -> bool:
-    """Returns ``True`` where a field should be excluded from data transfer.
-
-    Args:
-        field_definition: defined DTO field
-        exclude: names of fields to exclude
-        include: names of fields to exclude
-        is_data_field: whether the field is a data field
-
-    Returns:
-        ``True`` if the field should not be included in any data transfer.
-    """
-    field_name = field_definition.name
-    if field_name in exclude:
-        return True
-    if include and field_name not in include and not (any(f.startswith(f"{field_name}.") for f in include)):
-        return True
-    if field_definition.dto_field.mark is Mark.PRIVATE:
-        return True
-    if is_data_field and field_definition.dto_field.mark is Mark.READ_ONLY:
-        return True
-    return not is_data_field and field_definition.dto_field.mark is Mark.WRITE_ONLY
-
-
-def _create_transfer_model_type_annotation(transfer_type: TransferType) -> Any:
-    """Create a type annotation for a transfer model.
-
-    Uses the parsed type that originates from the data model and the transfer model generated to represent a nested
-    type to reconstruct the type annotation for the transfer model.
-    """
-    if isinstance(transfer_type, SimpleType):
-        if transfer_type.nested_field_info:
-            return transfer_type.nested_field_info.model
-        return transfer_type.field_definition.annotation
-
-    if isinstance(transfer_type, CollectionType):
-        return _create_transfer_model_collection_type(transfer_type)
-
-    if isinstance(transfer_type, MappingType):
-        return _create_transfer_model_mapping_type(transfer_type)
-
-    if isinstance(transfer_type, TupleType):
-        return _create_transfer_model_tuple_type(transfer_type)
-
-    if isinstance(transfer_type, UnionType):
-        return _create_transfer_model_union_type(transfer_type)
-
-    raise RuntimeError(f"Unexpected transfer type: {type(transfer_type)}")
-
-
-def _create_transfer_model_collection_type(transfer_type: CollectionType) -> Any:
-    generic_collection_type = transfer_type.field_definition.safe_generic_origin
-    inner_type = _create_transfer_model_type_annotation(transfer_type.inner_type)
-    if transfer_type.field_definition.origin is tuple:
-        return generic_collection_type[inner_type, ...]
-    return generic_collection_type[inner_type]
-
-
-def _create_transfer_model_tuple_type(transfer_type: TupleType) -> Any:
-    inner_types = tuple(_create_transfer_model_type_annotation(t) for t in transfer_type.inner_types)
-    return transfer_type.field_definition.safe_generic_origin[inner_types]
-
-
-def _create_transfer_model_union_type(transfer_type: UnionType) -> Any:
-    inner_types = tuple(_create_transfer_model_type_annotation(t) for t in transfer_type.inner_types)
-    return transfer_type.field_definition.safe_generic_origin[inner_types]
-
-
-def _create_transfer_model_mapping_type(transfer_type: MappingType) -> Any:
-    key_type = _create_transfer_model_type_annotation(transfer_type.key_type)
-    value_type = _create_transfer_model_type_annotation(transfer_type.value_type)
-    return transfer_type.field_definition.safe_generic_origin[key_type, value_type]
diff --git a/venv/lib/python3.11/site-packages/litestar/dto/_codegen_backend.py b/venv/lib/python3.11/site-packages/litestar/dto/_codegen_backend.py
deleted file mode 100644
index deff908..0000000
--- a/venv/lib/python3.11/site-packages/litestar/dto/_codegen_backend.py
+++ /dev/null
@@ -1,541 +0,0 @@
-"""DTO backends do the heavy lifting of decoding and validating raw bytes into domain models, and
-back again, to bytes.
-"""
-
-from __future__ import annotations
-
-import re
-import textwrap
-from contextlib import contextmanager, nullcontext
-from typing import (
-    TYPE_CHECKING,
-    Any,
-    Callable,
-    ContextManager,
-    Generator,
-    Mapping,
-    Protocol,
-    cast,
-)
-
-from msgspec import UNSET
-
-from litestar.dto._backend import DTOBackend
-from litestar.dto._types import (
-    CollectionType,
-    CompositeType,
-    SimpleType,
-    TransferDTOFieldDefinition,
-    TransferType,
-    UnionType,
-)
-from litestar.utils.helpers import unique_name_for_scope
-
-if TYPE_CHECKING:
-    from litestar.connection import ASGIConnection
-    from litestar.dto import AbstractDTO
-    from litestar.types.serialization import LitestarEncodableType
-    from litestar.typing import FieldDefinition
-
-__all__ = ("DTOCodegenBackend",)
-
-
-class DTOCodegenBackend(DTOBackend):
-    __slots__ = (
-        "_transfer_to_dict",
-        "_transfer_to_model_type",
-        "_transfer_data_from_builtins",
-        "_transfer_data_from_builtins_with_overrides",
-        "_encode_data",
-    )
-
-    def __init__(
-        self,
-        dto_factory: type[AbstractDTO],
-        field_definition: FieldDefinition,
-        handler_id: str,
-        is_data_field: bool,
-        model_type: type[Any],
-        wrapper_attribute_name: str | None,
-    ) -> None:
-        """Create dto backend instance.
-
-        Args:
-            dto_factory: The DTO factory class calling this backend.
-            field_definition: Parsed type.
-            handler_id: The name of the handler that this backend is for.
-            is_data_field: Whether the field is a subclass of DTOData.
-            model_type: Model type.
-            wrapper_attribute_name: If the data that DTO should operate upon is wrapped in a generic datastructure,
-              this is the name of the attribute that the data is stored in.
-        """
-        super().__init__(
-            dto_factory=dto_factory,
-            field_definition=field_definition,
-            handler_id=handler_id,
-            is_data_field=is_data_field,
-            model_type=model_type,
-            wrapper_attribute_name=wrapper_attribute_name,
-        )
-        self._transfer_to_dict = self._create_transfer_data_fn(
-            destination_type=dict,
-            field_definition=self.field_definition,
-        )
-        self._transfer_to_model_type = self._create_transfer_data_fn(
-            destination_type=self.model_type,
-            field_definition=self.field_definition,
-        )
-        self._transfer_data_from_builtins = self._create_transfer_data_fn(
-            destination_type=self.model_type,
-            field_definition=self.field_definition,
-        )
-        self._transfer_data_from_builtins_with_overrides = self._create_transfer_data_fn(
-            destination_type=self.model_type,
-            field_definition=self.field_definition,
-        )
-        self._encode_data = self._create_transfer_data_fn(
-            destination_type=self.transfer_model_type,
-            field_definition=self.field_definition,
-        )
-
-    def populate_data_from_builtins(self, builtins: Any, asgi_connection: ASGIConnection) -> Any:
-        """Populate model instance from builtin types.
-
-        Args:
-            builtins: Builtin type.
-            asgi_connection: The current ASGI Connection
-
-        Returns:
-            Instance or collection of ``model_type`` instances.
-        """
-        if self.dto_data_type:
-            return self.dto_data_type(
-                backend=self,
-                data_as_builtins=self._transfer_to_dict(self.parse_builtins(builtins, asgi_connection)),
-            )
-        return self.transfer_data_from_builtins(self.parse_builtins(builtins, asgi_connection))
-
-    def transfer_data_from_builtins(self, builtins: Any) -> Any:
-        """Populate model instance from builtin types.
-
-        Args:
-            builtins: Builtin type.
-
-        Returns:
-            Instance or collection of ``model_type`` instances.
-        """
-        return self._transfer_data_from_builtins(builtins)
-
-    def populate_data_from_raw(self, raw: bytes, asgi_connection: ASGIConnection) -> Any:
-        """Parse raw bytes into instance of `model_type`.
-
-        Args:
-            raw: bytes
-            asgi_connection: The current ASGI Connection
-
-        Returns:
-            Instance or collection of ``model_type`` instances.
-        """
-        if self.dto_data_type:
-            return self.dto_data_type(
-                backend=self,
-                data_as_builtins=self._transfer_to_dict(self.parse_raw(raw, asgi_connection)),
-            )
-        return self._transfer_to_model_type(self.parse_raw(raw, asgi_connection))
-
-    def encode_data(self, data: Any) -> LitestarEncodableType:
-        """Encode data into a ``LitestarEncodableType``.
-
-        Args:
-            data: Data to encode.
-
-        Returns:
-            Encoded data.
-        """
-        if self.wrapper_attribute_name:
-            wrapped_transfer = self._encode_data(getattr(data, self.wrapper_attribute_name))
-            setattr(data, self.wrapper_attribute_name, wrapped_transfer)
-            return cast("LitestarEncodableType", data)
-
-        return cast("LitestarEncodableType", self._encode_data(data))
-
-    def _create_transfer_data_fn(
-        self,
-        destination_type: type[Any],
-        field_definition: FieldDefinition,
-    ) -> Any:
-        """Create instance or iterable of instances of ``destination_type``.
-
-        Args:
-            destination_type: the model type received by the DTO on type narrowing.
-            field_definition: the parsed type that represents the handler annotation for which the DTO is being applied.
-
-        Returns:
-            Data parsed into ``destination_type``.
-        """
-
-        return TransferFunctionFactory.create_transfer_data(
-            destination_type=destination_type,
-            field_definitions=self.parsed_field_definitions,
-            is_data_field=self.is_data_field,
-            field_definition=field_definition,
-        )
-
-
-class FieldAccessManager(Protocol):
-    def __call__(self, source_name: str, field_name: str, expect_optional: bool) -> ContextManager[str]: ...
-
-
-class TransferFunctionFactory:
-    def __init__(self, is_data_field: bool, nested_as_dict: bool) -> None:
-        self.is_data_field = is_data_field
-        self._fn_locals: dict[str, Any] = {
-            "Mapping": Mapping,
-            "UNSET": UNSET,
-        }
-        self._indentation = 1
-        self._body = ""
-        self.names: set[str] = set()
-        self.nested_as_dict = nested_as_dict
-        self._re_index_access = re.compile(r"\[['\"](\w+?)['\"]]")
-
-    def _add_to_fn_globals(self, name: str, value: Any) -> str:
-        unique_name = unique_name_for_scope(name, self._fn_locals)
-        self._fn_locals[unique_name] = value
-        return unique_name
-
-    def _create_local_name(self, name: str) -> str:
-        unique_name = unique_name_for_scope(name, self.names)
-        self.names.add(unique_name)
-        return unique_name
-
-    def _make_function(
-        self, source_value_name: str, return_value_name: str, fn_name: str = "func"
-    ) -> Callable[[Any], Any]:
-        """Wrap the current body contents in a function definition and turn it into a callable object"""
-        source = f"def {fn_name}({source_value_name}):\n{self._body} return {return_value_name}"
-        ctx: dict[str, Any] = {**self._fn_locals}
-        exec(source, ctx)  # noqa: S102
-        return ctx["func"]  # type: ignore[no-any-return]
-
-    def _add_stmt(self, stmt: str) -> None:
-        self._body += textwrap.indent(stmt + "\n", " " * self._indentation)
-
-    @contextmanager
-    def _start_block(self, expr: str | None = None) -> Generator[None, None, None]:
-        """Start an indented block. If `expr` is given, use it as the "opening line"
-        of the block.
-        """
-        if expr is not None:
-            self._add_stmt(expr)
-        self._indentation += 1
-        yield
-        self._indentation -= 1
-
-    @contextmanager
-    def _try_except_pass(self, exception: str) -> Generator[None, None, None]:
-        """Enter a `try / except / pass` block. Content written while inside this context
-        will go into the `try` block.
-        """
-        with self._start_block("try:"):
-            yield
-        with self._start_block(expr=f"except {exception}:"):
-            self._add_stmt("pass")
-
-    @contextmanager
-    def _access_mapping_item(
-        self, source_name: str, field_name: str, expect_optional: bool
-    ) -> Generator[str, None, None]:
-        """Enter a context within which an item of a mapping can be accessed safely,
-        i.e. only if it is contained within that mapping.
-        Yields an expression that accesses the mapping item. Content written while
-        within this context can use this expression to access the desired value.
-        """
-        value_expr = f"{source_name}['{field_name}']"
-
-        # if we expect an optional item, it's faster to check if it exists beforehand
-        if expect_optional:
-            with self._start_block(f"if '{field_name}' in {source_name}:"):
-                yield value_expr
-        # the happy path of a try/except will be faster than that, so we use that if
-        # we expect a value
-        else:
-            with self._try_except_pass("KeyError"):
-                yield value_expr
-
-    @contextmanager
-    def _access_attribute(self, source_name: str, field_name: str, expect_optional: bool) -> Generator[str, None, None]:
-        """Enter a context within which an attribute of an object can be accessed
-        safely, i.e. only if the object actually has the attribute.
-        Yields an expression that retrieves the object attribute. Content written while
-        within this context can use this expression to access the desired value.
-        """
-
-        value_expr = f"{source_name}.{field_name}"
-
-        # if we expect an optional attribute it's faster to check with hasattr
-        if expect_optional:
-            with self._start_block(f"if hasattr({source_name}, '{field_name}'):"):
-                yield value_expr
-        # the happy path of a try/except will be faster than that, so we use that if
-        # we expect a value
-        else:
-            with self._try_except_pass("AttributeError"):
-                yield value_expr
-
-    @classmethod
-    def create_transfer_instance_data(
-        cls,
-        field_definitions: tuple[TransferDTOFieldDefinition, ...],
-        destination_type: type[Any],
-        is_data_field: bool,
-    ) -> Callable[[Any], Any]:
-        factory = cls(is_data_field=is_data_field, nested_as_dict=destination_type is dict)
-        tmp_return_type_name = factory._create_local_name("tmp_return_type")
-        source_instance_name = factory._create_local_name("source_instance")
-        destination_type_name = factory._add_to_fn_globals("destination_type", destination_type)
-        factory._create_transfer_instance_data(
-            tmp_return_type_name=tmp_return_type_name,
-            source_instance_name=source_instance_name,
-            destination_type_name=destination_type_name,
-            field_definitions=field_definitions,
-            destination_type_is_dict=destination_type is dict,
-        )
-        return factory._make_function(source_value_name=source_instance_name, return_value_name=tmp_return_type_name)
-
-    @classmethod
-    def create_transfer_type_data(
-        cls,
-        transfer_type: TransferType,
-        is_data_field: bool,
-    ) -> Callable[[Any], Any]:
-        factory = cls(is_data_field=is_data_field, nested_as_dict=False)
-        tmp_return_type_name = factory._create_local_name("tmp_return_type")
-        source_value_name = factory._create_local_name("source_value")
-        factory._create_transfer_type_data_body(
-            transfer_type=transfer_type,
-            nested_as_dict=False,
-            assignment_target=tmp_return_type_name,
-            source_value_name=source_value_name,
-        )
-        return factory._make_function(source_value_name=source_value_name, return_value_name=tmp_return_type_name)
-
-    @classmethod
-    def create_transfer_data(
-        cls,
-        destination_type: type[Any],
-        field_definitions: tuple[TransferDTOFieldDefinition, ...],
-        is_data_field: bool,
-        field_definition: FieldDefinition | None = None,
-    ) -> Callable[[Any], Any]:
-        if field_definition and field_definition.is_non_string_collection:
-            factory = cls(
-                is_data_field=is_data_field,
-                nested_as_dict=False,
-            )
-            source_value_name = factory._create_local_name("source_value")
-            return_value_name = factory._create_local_name("tmp_return_value")
-            factory._create_transfer_data_body_nested(
-                field_definitions=field_definitions,
-                field_definition=field_definition,
-                destination_type=destination_type,
-                source_data_name=source_value_name,
-                assignment_target=return_value_name,
-            )
-            return factory._make_function(source_value_name=source_value_name, return_value_name=return_value_name)
-
-        return cls.create_transfer_instance_data(
-            destination_type=destination_type,
-            field_definitions=field_definitions,
-            is_data_field=is_data_field,
-        )
-
-    def _create_transfer_data_body_nested(
-        self,
-        field_definition: FieldDefinition,
-        field_definitions: tuple[TransferDTOFieldDefinition, ...],
-        destination_type: type[Any],
-        source_data_name: str,
-        assignment_target: str,
-    ) -> None:
-        origin_name = self._add_to_fn_globals("origin", field_definition.instantiable_origin)
-        transfer_func = TransferFunctionFactory.create_transfer_data(
-            is_data_field=self.is_data_field,
-            destination_type=destination_type,
-            field_definition=field_definition.inner_types[0],
-            field_definitions=field_definitions,
-        )
-        transfer_func_name = self._add_to_fn_globals("transfer_data", transfer_func)
-        if field_definition.is_mapping:
-            self._add_stmt(
-                f"{assignment_target} = {origin_name}((key, {transfer_func_name}(item)) for key, item in {source_data_name}.items())"
-            )
-        else:
-            self._add_stmt(
-                f"{assignment_target} = {origin_name}({transfer_func_name}(item) for item in {source_data_name})"
-            )
-
-    def _create_transfer_instance_data(
-        self,
-        tmp_return_type_name: str,
-        source_instance_name: str,
-        destination_type_name: str,
-        field_definitions: tuple[TransferDTOFieldDefinition, ...],
-        destination_type_is_dict: bool,
-    ) -> None:
-        local_dict_name = self._create_local_name("unstructured_data")
-        self._add_stmt(f"{local_dict_name} = {{}}")
-
-        if field_definitions := tuple(f for f in field_definitions if self.is_data_field or not f.is_excluded):
-            if len(field_definitions) > 1 and ("." in source_instance_name or "[" in source_instance_name):
-                # If there's more than one field we have to access, we check if it is
-                # nested. If it is nested, we assign it to a local variable to avoid
-                # repeated lookups. This is only a small performance improvement for
-                # regular attributes, but can be quite significant for properties or
-                # other types of descriptors, where I/O may be involved, such as the
-                # case for lazy loaded relationships in SQLAlchemy
-                if "." in source_instance_name:
-                    level_1, level_2 = source_instance_name.split(".", 1)
-                else:
-                    level_1, level_2, *_ = self._re_index_access.split(source_instance_name, maxsplit=1)
-
-                new_source_instance_name = self._create_local_name(f"{level_1}_{level_2}")
-                self._add_stmt(f"{new_source_instance_name} = {source_instance_name}")
-                source_instance_name = new_source_instance_name
-
-            for source_type in ("mapping", "object"):
-                if source_type == "mapping":
-                    block_expr = f"if isinstance({source_instance_name}, Mapping):"
-                    access_item = self._access_mapping_item
-                else:
-                    block_expr = "else:"
-                    access_item = self._access_attribute
-
-                with self._start_block(expr=block_expr):
-                    self._create_transfer_instance_data_inner(
-                        local_dict_name=local_dict_name,
-                        field_definitions=field_definitions,
-                        access_field_safe=access_item,
-                        source_instance_name=source_instance_name,
-                    )
-
-        # if the destination type is a dict we can reuse our temporary dictionary of
-        # unstructured data as the "return value"
-        if not destination_type_is_dict:
-            self._add_stmt(f"{tmp_return_type_name} = {destination_type_name}(**{local_dict_name})")
-        else:
-            self._add_stmt(f"{tmp_return_type_name} = {local_dict_name}")
-
-    def _create_transfer_instance_data_inner(
-        self,
-        *,
-        local_dict_name: str,
-        field_definitions: tuple[TransferDTOFieldDefinition, ...],
-        access_field_safe: FieldAccessManager,
-        source_instance_name: str,
-    ) -> None:
-        for field_definition in field_definitions:
-            with access_field_safe(
-                source_name=source_instance_name,
-                field_name=field_definition.name,
-                expect_optional=field_definition.is_partial or field_definition.is_optional,
-            ) as source_value_expr:
-                if self.is_data_field and field_definition.is_partial:
-                    # we assign the source value to a name here, so we can skip
-                    # getting it twice from the source instance
-                    source_value_name = self._create_local_name("source_value")
-                    self._add_stmt(f"{source_value_name} = {source_value_expr}")
-                    ctx = self._start_block(f"if {source_value_name} is not UNSET:")
-                else:
-                    # in these cases, we only ever access the source value once, so
-                    # we can skip assigning it
-                    source_value_name = source_value_expr
-                    ctx = nullcontext()  # type: ignore[assignment]
-                with ctx:
-                    self._create_transfer_type_data_body(
-                        transfer_type=field_definition.transfer_type,
-                        nested_as_dict=self.nested_as_dict,
-                        source_value_name=source_value_name,
-                        assignment_target=f"{local_dict_name}['{field_definition.name}']",
-                    )
-
-    def _create_transfer_type_data_body(
-        self,
-        transfer_type: TransferType,
-        nested_as_dict: bool,
-        source_value_name: str,
-        assignment_target: str,
-    ) -> None:
-        if isinstance(transfer_type, SimpleType) and transfer_type.nested_field_info:
-            if nested_as_dict:
-                destination_type: Any = dict
-            elif self.is_data_field:
-                destination_type = transfer_type.field_definition.annotation
-            else:
-                destination_type = transfer_type.nested_field_info.model
-
-            self._create_transfer_instance_data(
-                field_definitions=transfer_type.nested_field_info.field_definitions,
-                tmp_return_type_name=assignment_target,
-                source_instance_name=source_value_name,
-                destination_type_name=self._add_to_fn_globals("destination_type", destination_type),
-                destination_type_is_dict=destination_type is dict,
-            )
-            return
-
-        if isinstance(transfer_type, UnionType) and transfer_type.has_nested:
-            self._create_transfer_nested_union_type_data(
-                transfer_type=transfer_type,
-                source_value_name=source_value_name,
-                assignment_target=assignment_target,
-            )
-            return
-
-        if isinstance(transfer_type, CollectionType):
-            origin_name = self._add_to_fn_globals("origin", transfer_type.field_definition.instantiable_origin)
-            if transfer_type.has_nested:
-                transfer_type_data_fn = TransferFunctionFactory.create_transfer_type_data(
-                    is_data_field=self.is_data_field, transfer_type=transfer_type.inner_type
-                )
-                transfer_type_data_name = self._add_to_fn_globals("transfer_type_data", transfer_type_data_fn)
-                self._add_stmt(
-                    f"{assignment_target} = {origin_name}({transfer_type_data_name}(item) for item in {source_value_name})"
-                )
-                return
-
-            self._add_stmt(f"{assignment_target} = {origin_name}({source_value_name})")
-            return
-
-        self._add_stmt(f"{assignment_target} = {source_value_name}")
-
-    def _create_transfer_nested_union_type_data(
-        self,
-        transfer_type: UnionType,
-        source_value_name: str,
-        assignment_target: str,
-    ) -> None:
-        for inner_type in transfer_type.inner_types:
-            if isinstance(inner_type, CompositeType):
-                continue
-
-            if inner_type.nested_field_info:
-                if self.is_data_field:
-                    constraint_type = inner_type.nested_field_info.model
-                    destination_type = inner_type.field_definition.annotation
-                else:
-                    constraint_type = inner_type.field_definition.annotation
-                    destination_type = inner_type.nested_field_info.model
-
-                constraint_type_name = self._add_to_fn_globals("constraint_type", constraint_type)
-                destination_type_name = self._add_to_fn_globals("destination_type", destination_type)
-
-                with self._start_block(f"if isinstance({source_value_name}, {constraint_type_name}):"):
-                    self._create_transfer_instance_data(
-                        destination_type_name=destination_type_name,
-                        destination_type_is_dict=destination_type is dict,
-                        field_definitions=inner_type.nested_field_info.field_definitions,
-                        source_instance_name=source_value_name,
-                        tmp_return_type_name=assignment_target,
-                    )
-                    return
-        self._add_stmt(f"{assignment_target} = {source_value_name}")
diff --git a/venv/lib/python3.11/site-packages/litestar/dto/_types.py b/venv/lib/python3.11/site-packages/litestar/dto/_types.py
deleted file mode 100644
index 24e99b7..0000000
--- a/venv/lib/python3.11/site-packages/litestar/dto/_types.py
+++ /dev/null
@@ -1,148 +0,0 @@
-from __future__ import annotations
-
-from dataclasses import dataclass
-from typing import TYPE_CHECKING
-
-from litestar.dto.data_structures import DTOFieldDefinition
-
-if TYPE_CHECKING:
-    from typing import Any
-
-    from typing_extensions import Self
-
-    from litestar.typing import FieldDefinition
-
-
-@dataclass(frozen=True)
-class NestedFieldInfo:
-    """Type for representing fields and model type of nested model type."""
-
-    __slots__ = ("model", "field_definitions")
-
-    model: type[Any]
-    field_definitions: tuple[TransferDTOFieldDefinition, ...]
-
-
-@dataclass(frozen=True)
-class TransferType:
-    """Type for representing model types for data transfer."""
-
-    __slots__ = ("field_definition",)
-
-    field_definition: FieldDefinition
-
-
-@dataclass(frozen=True)
-class SimpleType(TransferType):
-    """Represents indivisible, non-composite types."""
-
-    __slots__ = ("nested_field_info",)
-
-    nested_field_info: NestedFieldInfo | None
-    """If the type is a 'nested' type, this is the model generated for transfer to/from it."""
-
-    @property
-    def has_nested(self) -> bool:
-        return self.nested_field_info is not None
-
-
-@dataclass(frozen=True)
-class CompositeType(TransferType):
-    """A type that is made up of other types."""
-
-    __slots__ = ("has_nested",)
-
-    has_nested: bool
-    """Whether the type represents nested model types within itself."""
-
-
-@dataclass(frozen=True)
-class UnionType(CompositeType):
-    """Type for representing union types for data transfer."""
-
-    __slots__ = ("inner_types",)
-
-    inner_types: tuple[CompositeType | SimpleType, ...]
-
-
-@dataclass(frozen=True)
-class CollectionType(CompositeType):
-    """Type for representing collection types for data transfer."""
-
-    __slots__ = ("inner_type",)
-
-    inner_type: CompositeType | SimpleType
-
-
-@dataclass(frozen=True)
-class TupleType(CompositeType):
-    """Type for representing tuples for data transfer."""
-
-    __slots__ = ("inner_types",)
-
-    inner_types: tuple[CompositeType | SimpleType, ...]
-
-
-@dataclass(frozen=True)
-class MappingType(CompositeType):
-    """Type for representing mappings for data transfer."""
-
-    __slots__ = ("key_type", "value_type")
-
-    key_type: CompositeType | SimpleType
-    value_type: CompositeType | SimpleType
-
-
-@dataclass(frozen=True)
-class TransferDTOFieldDefinition(DTOFieldDefinition):
-    __slots__ = (
-        "default_factory",
-        "dto_field",
-        "model_name",
-        "is_excluded",
-        "is_partial",
-        "serialization_name",
-        "transfer_type",
-        "unique_name",
-    )
-
-    transfer_type: TransferType
-    """Type of the field for transfer."""
-    serialization_name: str | None
-    """Name of the field as it should appear in serialized form."""
-    is_partial: bool
-    """Whether the field is optional for transfer."""
-    is_excluded: bool
-    """Whether the field should be excluded from transfer."""
-
-    @classmethod
-    def from_dto_field_definition(
-        cls,
-        field_definition: DTOFieldDefinition,
-        transfer_type: TransferType,
-        serialization_name: str | None,
-        is_partial: bool,
-        is_excluded: bool,
-    ) -> Self:
-        return cls(
-            annotation=field_definition.annotation,
-            args=field_definition.args,
-            default=field_definition.default,
-            default_factory=field_definition.default_factory,
-            dto_field=field_definition.dto_field,
-            extra=field_definition.extra,
-            inner_types=field_definition.inner_types,
-            instantiable_origin=field_definition.instantiable_origin,
-            is_excluded=is_excluded,
-            is_partial=is_partial,
-            kwarg_definition=field_definition.kwarg_definition,
-            metadata=field_definition.metadata,
-            name=field_definition.name,
-            origin=field_definition.origin,
-            raw=field_definition.raw,
-            safe_generic_origin=field_definition.safe_generic_origin,
-            serialization_name=serialization_name,
-            transfer_type=transfer_type,
-            type_wrappers=field_definition.type_wrappers,
-            model_name=field_definition.model_name,
-        )
diff --git a/venv/lib/python3.11/site-packages/litestar/dto/base_dto.py b/venv/lib/python3.11/site-packages/litestar/dto/base_dto.py
deleted file mode 100644
index 991b09f..0000000
--- a/venv/lib/python3.11/site-packages/litestar/dto/base_dto.py
+++ /dev/null
@@ -1,313 +0,0 @@
-from __future__ import annotations
-
-import typing
-from abc import abstractmethod
-from inspect import getmodule
-from typing import TYPE_CHECKING, Collection, Generic, TypeVar
-
-from typing_extensions import NotRequired, TypedDict, get_type_hints
-
-from litestar.dto._backend import DTOBackend
-from litestar.dto._codegen_backend import DTOCodegenBackend
-from litestar.dto.config import DTOConfig
-from litestar.dto.data_structures import DTOData
-from litestar.dto.types import RenameStrategy
-from litestar.enums import RequestEncodingType
-from litestar.exceptions.dto_exceptions import InvalidAnnotationException
-from litestar.types.builtin_types import NoneType
-from litestar.types.composite_types import TypeEncodersMap
-from litestar.typing import FieldDefinition
-
-if TYPE_CHECKING:
-    from typing import Any, ClassVar, Generator
-
-    from typing_extensions import Self
-
-    from litestar._openapi.schema_generation import SchemaCreator
-    from litestar.connection import ASGIConnection
-    from litestar.dto.data_structures import DTOFieldDefinition
-    from litestar.openapi.spec import Reference, Schema
-    from litestar.types.serialization import LitestarEncodableType
-
-__all__ = ("AbstractDTO",)
-
-T = TypeVar("T")
-
-
-class _BackendDict(TypedDict):
-    data_backend: NotRequired[DTOBackend]
-    return_backend: NotRequired[DTOBackend]
-
-
-class AbstractDTO(Generic[T]):
-    """Base class for DTO types."""
-
-    __slots__ = ("asgi_connection",)
-
-    config: ClassVar[DTOConfig]
-    """Config objects to define properties of the DTO."""
-    model_type: type[T]
-    """If ``annotation`` is an iterable, this is the inner type, otherwise will be the same as ``annotation``."""
-
-    _dto_backends: ClassVar[dict[str, _BackendDict]] = {}
-
-    def __init__(self, asgi_connection: ASGIConnection) -> None:
-        """Create an AbstractDTOFactory type.
-
-        Args:
-            asgi_connection: A :class:`ASGIConnection <litestar.connection.base.ASGIConnection>` instance.
-        """
-        self.asgi_connection = asgi_connection
-
-    def __class_getitem__(cls, annotation: Any) -> type[Self]:
-        field_definition = FieldDefinition.from_annotation(annotation)
-
-        if (field_definition.is_optional and len(field_definition.args) > 2) or (
-            field_definition.is_union and not field_definition.is_optional
-        ):
-            raise InvalidAnnotationException("Unions are currently not supported as type argument to DTOs.")
-
-        if field_definition.is_forward_ref:
-            raise InvalidAnnotationException("Forward references are not supported as type argument to DTO")
-
-        # if a configuration is not provided, and the type narrowing is a type var, we don't want to create a subclass
-        config = cls.get_dto_config_from_annotated_type(field_definition)
-
-        if not config:
-            if field_definition.is_type_var:
-                return cls
-            config = cls.config if hasattr(cls, "config") else DTOConfig()
-
-        cls_dict: dict[str, Any] = {"config": config, "_type_backend_map": {}, "_handler_backend_map": {}}
-        if not field_definition.is_type_var:
-            cls_dict.update(model_type=field_definition.annotation)
-
-        return type(f"{cls.__name__}[{annotation}]", (cls,), cls_dict)  # pyright: ignore
-
-    def decode_builtins(self, value: dict[str, Any]) -> Any:
-        """Decode a dictionary of Python values into an the DTO's datatype."""
-
-        backend = self._dto_backends[self.asgi_connection.route_handler.handler_id]["data_backend"]  # pyright: ignore
-        return backend.populate_data_from_builtins(value, self.asgi_connection)
-
-    def decode_bytes(self, value: bytes) -> Any:
-        """Decode a byte string into an the DTO's datatype."""
-
-        backend = self._dto_backends[self.asgi_connection.route_handler.handler_id]["data_backend"]  # pyright: ignore
-        return backend.populate_data_from_raw(value, self.asgi_connection)
-
-    def data_to_encodable_type(self, data: T | Collection[T]) -> LitestarEncodableType:
-        backend = self._dto_backends[self.asgi_connection.route_handler.handler_id]["return_backend"]  # pyright: ignore
-        return backend.encode_data(data)
-
-    @classmethod
-    @abstractmethod
-    def generate_field_definitions(cls, model_type: type[Any]) -> Generator[DTOFieldDefinition, None, None]:
-        """Generate ``FieldDefinition`` instances from ``model_type``.
-
-        Yields:
-            ``FieldDefinition`` instances.
-        """
-
-    @classmethod
-    @abstractmethod
-    def detect_nested_field(cls, field_definition: FieldDefinition) -> bool:
-        """Return ``True`` if ``field_definition`` represents a nested model field.
-
-        Args:
-            field_definition: inspect type to determine if field represents a nested model.
-
-        Returns:
-            ``True`` if ``field_definition`` represents a nested model field.
-        """
-
-    @classmethod
-    def is_supported_model_type_field(cls, field_definition: FieldDefinition) -> bool:
-        """Check support for the given type.
-
-        Args:
-            field_definition: A :class:`FieldDefinition <litestar.typing.FieldDefinition>` instance.
-
-        Returns:
-            Whether the type of the field definition is supported by the DTO.
-        """
-        return field_definition.is_subclass_of(cls.model_type) or (
-            field_definition.origin
-            and any(
-                cls.resolve_model_type(inner_field).is_subclass_of(cls.model_type)
-                for inner_field in field_definition.inner_types
-            )
-        )
-
-    @classmethod
-    def create_for_field_definition(
-        cls,
-        field_definition: FieldDefinition,
-        handler_id: str,
-        backend_cls: type[DTOBackend] | None = None,
-    ) -> None:
-        """Creates a DTO subclass for a field definition.
-
-        Args:
-            field_definition: A :class:`FieldDefinition <litestar.typing.FieldDefinition>` instance.
-            handler_id: ID of the route handler for which to create a DTO instance.
-            backend_cls: Alternative DTO backend class to use
-
-        Returns:
-            None
-        """
-
-        if handler_id not in cls._dto_backends:
-            cls._dto_backends[handler_id] = {}
-
-        backend_context = cls._dto_backends[handler_id]
-        key = "data_backend" if field_definition.name == "data" else "return_backend"
-
-        if key not in backend_context:
-            model_type_field_definition = cls.resolve_model_type(field_definition=field_definition)
-            wrapper_attribute_name: str | None = None
-
-            if not model_type_field_definition.is_subclass_of(cls.model_type):
-                if resolved_generic_result := cls.resolve_generic_wrapper_type(
-                    field_definition=model_type_field_definition
-                ):
-                    model_type_field_definition, field_definition, wrapper_attribute_name = resolved_generic_result
-                else:
-                    raise InvalidAnnotationException(
-                        f"DTO narrowed with '{cls.model_type}', handler type is '{field_definition.annotation}'"
-                    )
-
-            if backend_cls is None:
-                backend_cls = DTOCodegenBackend if cls.config.experimental_codegen_backend else DTOBackend
-            elif backend_cls is DTOCodegenBackend and cls.config.experimental_codegen_backend is False:
-                backend_cls = DTOBackend
-
-            backend_context[key] = backend_cls(  # type: ignore[literal-required]
-                dto_factory=cls,
-                field_definition=field_definition,
-                model_type=model_type_field_definition.annotation,
-                wrapper_attribute_name=wrapper_attribute_name,
-                is_data_field=field_definition.name == "data",
-                handler_id=handler_id,
-            )
-
-    @classmethod
-    def create_openapi_schema(
-        cls, field_definition: FieldDefinition, handler_id: str, schema_creator: SchemaCreator
-    ) -> Reference | Schema:
-        """Create an OpenAPI request body.
-
-        Returns:
-            OpenAPI request body.
-        """
-        key = "data_backend" if field_definition.name == "data" else "return_backend"
-        backend = cls._dto_backends[handler_id][key]  # type: ignore[literal-required]
-        return schema_creator.for_field_definition(FieldDefinition.from_annotation(backend.annotation))
-
-    @classmethod
-    def resolve_generic_wrapper_type(
-        cls, field_definition: FieldDefinition
-    ) -> tuple[FieldDefinition, FieldDefinition, str] | None:
-        """Handle where DTO supported data is wrapped in a generic container type.
-
-        Args:
-            field_definition: A parsed type annotation that represents the annotation used to narrow the DTO type.
-
-        Returns:
-            The data model type.
-        """
-        if field_definition.origin and (
-            inner_fields := [
-                inner_field
-                for inner_field in field_definition.inner_types
-                if cls.resolve_model_type(inner_field).is_subclass_of(cls.model_type)
-            ]
-        ):
-            inner_field = inner_fields[0]
-            model_field_definition = cls.resolve_model_type(inner_field)
-
-            for attr, attr_type in cls.get_model_type_hints(field_definition.origin).items():
-                if isinstance(attr_type.annotation, TypeVar) or any(
-                    isinstance(t.annotation, TypeVar) for t in attr_type.inner_types
-                ):
-                    if attr_type.is_non_string_collection:
-                        # the inner type of the collection type is the type var, so we need to specialize the
-                        # collection type with the DTO supported type.
-                        specialized_annotation = attr_type.safe_generic_origin[model_field_definition.annotation]
-                        return model_field_definition, FieldDefinition.from_annotation(specialized_annotation), attr
-                    return model_field_definition, inner_field, attr
-        return None
-
-    @staticmethod
-    def get_model_type_hints(
-        model_type: type[Any], namespace: dict[str, Any] | None = None
-    ) -> dict[str, FieldDefinition]:
-        """Retrieve type annotations for ``model_type``.
-
-        Args:
-            model_type: Any type-annotated class.
-            namespace: Optional namespace to use for resolving type hints.
-
-        Returns:
-            Parsed type hints for ``model_type`` resolved within the scope of its module.
-        """
-        namespace = namespace or {}
-        namespace.update(vars(typing))
-        namespace.update(
-            {
-                "TypeEncodersMap": TypeEncodersMap,
-                "DTOConfig": DTOConfig,
-                "RenameStrategy": RenameStrategy,
-                "RequestEncodingType": RequestEncodingType,
-            }
-        )
-
-        if model_module := getmodule(model_type):
-            namespace.update(vars(model_module))
-
-        return {
-            k: FieldDefinition.from_kwarg(annotation=v, name=k)
-            for k, v in get_type_hints(model_type, localns=namespace, include_extras=True).items()  # pyright: ignore
-        }
-
-    @staticmethod
-    def get_dto_config_from_annotated_type(field_definition: FieldDefinition) -> DTOConfig | None:
-        """Extract data type and config instances from ``Annotated`` annotation.
-
-        Args:
-            field_definition: A parsed type annotation that represents the annotation used to narrow the DTO type.
-
-        Returns:
-            The type and config object extracted from the annotation.
-        """
-        return next((item for item in field_definition.metadata if isinstance(item, DTOConfig)), None)
-
-    @classmethod
-    def resolve_model_type(cls, field_definition: FieldDefinition) -> FieldDefinition:
-        """Resolve the data model type from a parsed type.
-
-        Args:
-            field_definition: A parsed type annotation that represents the annotation used to narrow the DTO type.
-
-        Returns:
-            A :class:`FieldDefinition <.typing.FieldDefinition>` that represents the data model type.
-        """
-        if field_definition.is_optional:
-            return cls.resolve_model_type(
-                next(t for t in field_definition.inner_types if not t.is_subclass_of(NoneType))
-            )
-
-        if field_definition.is_subclass_of(DTOData):
-            return cls.resolve_model_type(field_definition.inner_types[0])
-
-        if field_definition.is_collection:
-            if field_definition.is_mapping:
-                return cls.resolve_model_type(field_definition.inner_types[1])
-
-            if field_definition.is_tuple:
-                if any(t is Ellipsis for t in field_definition.args):
-                    return cls.resolve_model_type(field_definition.inner_types[0])
-            elif field_definition.is_non_string_collection:
-                return cls.resolve_model_type(field_definition.inner_types[0])
-
-        return field_definition
diff --git a/venv/lib/python3.11/site-packages/litestar/dto/config.py b/venv/lib/python3.11/site-packages/litestar/dto/config.py
deleted file mode 100644
index e213d17..0000000
--- a/venv/lib/python3.11/site-packages/litestar/dto/config.py
+++ /dev/null
@@ -1,66 +0,0 @@
-from __future__ import annotations
-
-from dataclasses import dataclass, field
-from typing import TYPE_CHECKING
-
-from litestar.exceptions import ImproperlyConfiguredException
-
-if TYPE_CHECKING:
-    from typing import AbstractSet
-
-    from litestar.dto.types import RenameStrategy
-
-__all__ = ("DTOConfig",)
-
-
-@dataclass(frozen=True)
-class DTOConfig:
-    """Control the generated DTO."""
-
-    exclude: AbstractSet[str] = field(default_factory=set)
-    """Explicitly exclude fields from the generated DTO.
-
-    If exclude is specified, all fields not specified in exclude will be included by default.
-
-    Notes:
-        - The field names are dot-separated paths to nested fields, e.g. ``"address.street"`` will
-            exclude the ``"street"`` field from a nested ``"address"`` model.
-        - 'exclude' mutually exclusive with 'include' - specifying both values will raise an
-            ``ImproperlyConfiguredException``.
-    """
-    include: AbstractSet[str] = field(default_factory=set)
-    """Explicitly include fields in the generated DTO.
-
-    If include is specified, all fields not specified in include will be excluded by default.
-
-    Notes:
-        - The field names are dot-separated paths to nested fields, e.g. ``"address.street"`` will
-            include the ``"street"`` field from a nested ``"address"`` model.
-        - 'include' mutually exclusive with 'exclude' - specifying both values will raise an
-            ``ImproperlyConfiguredException``.
-    """
-    rename_fields: dict[str, str] = field(default_factory=dict)
-    """Mapping of field names, to new name."""
-    rename_strategy: RenameStrategy | None = None
-    """Rename all fields using a pre-defined strategy or a custom strategy.
-
-    The pre-defined strategies are: `upper`, `lower`, `camel`, `pascal`.
-
-    A custom strategy is any callable that accepts a string as an argument and
-    return a string.
-
-    Fields defined in ``rename_fields`` are ignored."""
-    max_nested_depth: int = 1
-    """The maximum depth of nested items allowed for data transfer."""
-    partial: bool = False
-    """Allow transfer of partial data."""
-    underscore_fields_private: bool = True
-    """Fields starting with an underscore are considered private and excluded from data transfer."""
-    experimental_codegen_backend: bool | None = None
-    """Use the experimental codegen backend"""
-
-    def __post_init__(self) -> None:
-        if self.include and self.exclude:
-            raise ImproperlyConfiguredException(
-                "'include' and 'exclude' are mutually exclusive options, please use one of them"
-            )
diff --git a/venv/lib/python3.11/site-packages/litestar/dto/data_structures.py b/venv/lib/python3.11/site-packages/litestar/dto/data_structures.py
deleted file mode 100644
index a5c3386..0000000
--- a/venv/lib/python3.11/site-packages/litestar/dto/data_structures.py
+++ /dev/null
@@ -1,116 +0,0 @@
-from __future__ import annotations
-
-from dataclasses import dataclass
-from typing import TYPE_CHECKING, Generic, TypeVar
-
-from litestar.typing import FieldDefinition
-
-if TYPE_CHECKING:
-    from typing import Any, Callable
-
-    from litestar.dto import DTOField
-    from litestar.dto._backend import DTOBackend
-
-T = TypeVar("T")
-
-
-class DTOData(Generic[T]):
-    """DTO validated data and utility methods."""
-
-    __slots__ = ("_backend", "_data_as_builtins")
-
-    def __init__(self, backend: DTOBackend, data_as_builtins: Any) -> None:
-        self._backend = backend
-        self._data_as_builtins = data_as_builtins
-
-    def create_instance(self, **kwargs: Any) -> T:
-        """Create an instance of the DTO validated data.
-
-        Args:
-            **kwargs: Additional data to create the instance with. Takes precedence over DTO validated data.
-        """
-        data = dict(self._data_as_builtins)
-        for k, v in kwargs.items():
-            _set_nested_dict_value(data, k.split("__"), v)
-        return self._backend.transfer_data_from_builtins(data)  # type: ignore[no-any-return]
-
-    def update_instance(self, instance: T, **kwargs: Any) -> T:
-        """Update an instance with the DTO validated data.
-
-        Args:
-            instance: The instance to update.
-            **kwargs: Additional data to update the instance with. Takes precedence over DTO validated data.
-        """
-        data = {**self._data_as_builtins, **kwargs}
-        for k, v in data.items():
-            setattr(instance, k, v)
-        return instance
-
-    def as_builtins(self) -> Any:
-        """Return the DTO validated data as builtins."""
-        return self._data_as_builtins
-
-
-def _set_nested_dict_value(d: dict[str, Any], keys: list[str], value: Any) -> None:
-    if len(keys) == 1:
-        d[keys[0]] = value
-    else:
-        key = keys[0]
-        d.setdefault(key, {})
-        _set_nested_dict_value(d[key], keys[1:], value)
-
-
-@dataclass(frozen=True)
-class DTOFieldDefinition(FieldDefinition):
-    """A model field representation for purposes of generating a DTO backend model type."""
-
-    __slots__ = (
-        "default_factory",
-        "dto_field",
-        "model_name",
-    )
-
-    model_name: str
-    """The name of the model for which the field is generated."""
-    default_factory: Callable[[], Any] | None
-    """Default factory of the field."""
-    dto_field: DTOField
-    """DTO field configuration."""
-
-    @classmethod
-    def from_field_definition(
-        cls,
-        field_definition: FieldDefinition,
-        model_name: str,
-        default_factory: Callable[[], Any] | None,
-        dto_field: DTOField,
-    ) -> DTOFieldDefinition:
-        """Create a :class:`FieldDefinition` from a :class:`FieldDefinition`.
-
-        Args:
-            field_definition: A :class:`FieldDefinition` to create a :class:`FieldDefinition` from.
-            model_name: The name of the model.
-            default_factory: Default factory function, if any.
-            dto_field: DTOField instance.
-
-        Returns:
-            A :class:`FieldDefinition` instance.
-        """
-        return DTOFieldDefinition(
-            annotation=field_definition.annotation,
-            args=field_definition.args,
-            default=field_definition.default,
-            default_factory=default_factory,
-            dto_field=dto_field,
-            extra=field_definition.extra,
-            inner_types=field_definition.inner_types,
-            instantiable_origin=field_definition.instantiable_origin,
-            kwarg_definition=field_definition.kwarg_definition,
-            metadata=field_definition.metadata,
-            model_name=model_name,
-            name=field_definition.name,
-            origin=field_definition.origin,
-            raw=field_definition.raw,
-            safe_generic_origin=field_definition.safe_generic_origin,
-            type_wrappers=field_definition.type_wrappers,
-        )
diff --git a/venv/lib/python3.11/site-packages/litestar/dto/dataclass_dto.py b/venv/lib/python3.11/site-packages/litestar/dto/dataclass_dto.py
deleted file mode 100644
index 554b0f3..0000000
--- a/venv/lib/python3.11/site-packages/litestar/dto/dataclass_dto.py
+++ /dev/null
@@ -1,58 +0,0 @@
-from __future__ import annotations
-
-from dataclasses import MISSING, fields, replace
-from typing import TYPE_CHECKING, Generic, TypeVar
-
-from litestar.dto.base_dto import AbstractDTO
-from litestar.dto.data_structures import DTOFieldDefinition
-from litestar.dto.field import DTO_FIELD_META_KEY, DTOField
-from litestar.params import DependencyKwarg, KwargDefinition
-from litestar.types.empty import Empty
-
-if TYPE_CHECKING:
-    from typing import Collection, Generator
-
-    from litestar.types.protocols import DataclassProtocol
-    from litestar.typing import FieldDefinition
-
-
-__all__ = ("DataclassDTO", "T")
-
-T = TypeVar("T", bound="DataclassProtocol | Collection[DataclassProtocol]")
-AnyDataclass = TypeVar("AnyDataclass", bound="DataclassProtocol")
-
-
-class DataclassDTO(AbstractDTO[T], Generic[T]):
-    """Support for domain modelling with dataclasses."""
-
-    @classmethod
-    def generate_field_definitions(
-        cls, model_type: type[DataclassProtocol]
-    ) -> Generator[DTOFieldDefinition, None, None]:
-        dc_fields = {f.name: f for f in fields(model_type)}
-        for key, field_definition in cls.get_model_type_hints(model_type).items():
-            if not (dc_field := dc_fields.get(key)):
-                continue
-
-            default = dc_field.default if dc_field.default is not MISSING else Empty
-            default_factory = dc_field.default_factory if dc_field.default_factory is not MISSING else None
-            field_defintion = replace(
-                DTOFieldDefinition.from_field_definition(
-                    field_definition=field_definition,
-                    default_factory=default_factory,
-                    dto_field=dc_field.metadata.get(DTO_FIELD_META_KEY, DTOField()),
-                    model_name=model_type.__name__,
-                ),
-                name=key,
-                default=default,
-            )
-
-            yield (
-                replace(field_defintion, default=Empty, kwarg_definition=default)
-                if isinstance(default, (KwargDefinition, DependencyKwarg))
-                else field_defintion
-            )
-
-    @classmethod
-    def detect_nested_field(cls, field_definition: FieldDefinition) -> bool:
-        return hasattr(field_definition.annotation, "__dataclass_fields__")
diff --git a/venv/lib/python3.11/site-packages/litestar/dto/field.py b/venv/lib/python3.11/site-packages/litestar/dto/field.py
deleted file mode 100644
index 7ef8a39..0000000
--- a/venv/lib/python3.11/site-packages/litestar/dto/field.py
+++ /dev/null
@@ -1,50 +0,0 @@
-"""DTO domain types."""
-
-from __future__ import annotations
-
-from dataclasses import dataclass
-from enum import Enum
-from typing import Literal
-
-__all__ = (
-    "DTO_FIELD_META_KEY",
-    "DTOField",
-    "Mark",
-    "dto_field",
-)
-
-DTO_FIELD_META_KEY = "__dto__"
-
-
-class Mark(str, Enum):
-    """For marking field definitions on domain models."""
-
-    READ_ONLY = "read-only"
-    """To mark a field that can be read, but not updated by clients."""
-    WRITE_ONLY = "write-only"
-    """To mark a field that can be written to, but not read by clients."""
-    PRIVATE = "private"
-    """To mark a field that can neither be read or updated by clients."""
-
-
-@dataclass
-class DTOField:
-    """For configuring DTO behavior on model fields."""
-
-    mark: Mark | Literal["read-only", "write-only", "private"] | None = None
-    """Mark the field as read-only, or private."""
-
-
-def dto_field(mark: Literal["read-only", "write-only", "private"] | Mark) -> dict[str, DTOField]:
-    """Create a field metadata mapping.
-
-    Args:
-        mark: A DTO mark for the field, e.g., "read-only".
-
-    Returns:
-        A dict for setting as field metadata, such as the dataclass "metadata" field key, or the SQLAlchemy "info"
-        field.
-
-        Marking a field automates its inclusion/exclusion from DTO field definitions, depending on the DTO's purpose.
-    """
-    return {DTO_FIELD_META_KEY: DTOField(mark=Mark(mark))}
diff --git a/venv/lib/python3.11/site-packages/litestar/dto/msgspec_dto.py b/venv/lib/python3.11/site-packages/litestar/dto/msgspec_dto.py
deleted file mode 100644
index 826a1d2..0000000
--- a/venv/lib/python3.11/site-packages/litestar/dto/msgspec_dto.py
+++ /dev/null
@@ -1,54 +0,0 @@
-from __future__ import annotations
-
-from dataclasses import replace
-from typing import TYPE_CHECKING, Generic, TypeVar
-
-from msgspec import NODEFAULT, Struct, structs
-
-from litestar.dto.base_dto import AbstractDTO
-from litestar.dto.data_structures import DTOFieldDefinition
-from litestar.dto.field import DTO_FIELD_META_KEY, DTOField
-from litestar.types.empty import Empty
-
-if TYPE_CHECKING:
-    from typing import Any, Collection, Generator
-
-    from litestar.typing import FieldDefinition
-
-
-__all__ = ("MsgspecDTO",)
-
-T = TypeVar("T", bound="Struct | Collection[Struct]")
-
-
-class MsgspecDTO(AbstractDTO[T], Generic[T]):
-    """Support for domain modelling with Msgspec."""
-
-    @classmethod
-    def generate_field_definitions(cls, model_type: type[Struct]) -> Generator[DTOFieldDefinition, None, None]:
-        msgspec_fields = {f.name: f for f in structs.fields(model_type)}
-
-        def default_or_empty(value: Any) -> Any:
-            return Empty if value is NODEFAULT else value
-
-        def default_or_none(value: Any) -> Any:
-            return None if value is NODEFAULT else value
-
-        for key, field_definition in cls.get_model_type_hints(model_type).items():
-            msgspec_field = msgspec_fields[key]
-            dto_field = (field_definition.extra or {}).pop(DTO_FIELD_META_KEY, DTOField())
-
-            yield replace(
-                DTOFieldDefinition.from_field_definition(
-                    field_definition=field_definition,
-                    dto_field=dto_field,
-                    model_name=model_type.__name__,
-                    default_factory=default_or_none(msgspec_field.default_factory),
-                ),
-                default=default_or_empty(msgspec_field.default),
-                name=key,
-            )
-
-    @classmethod
-    def detect_nested_field(cls, field_definition: FieldDefinition) -> bool:
-        return field_definition.is_subclass_of(Struct)
diff --git a/venv/lib/python3.11/site-packages/litestar/dto/types.py b/venv/lib/python3.11/site-packages/litestar/dto/types.py
deleted file mode 100644
index f154e49..0000000
--- a/venv/lib/python3.11/site-packages/litestar/dto/types.py
+++ /dev/null
@@ -1,13 +0,0 @@
-from __future__ import annotations
-
-from typing import TYPE_CHECKING
-
-if TYPE_CHECKING:
-    from typing import Callable, Literal
-
-    from typing_extensions import TypeAlias
-
-__all__ = ("RenameStrategy",)
-
-RenameStrategy: TypeAlias = 'Literal["lower", "upper", "camel", "pascal", "kebab"] | Callable[[str], str]'
-"""A pre-defined strategy or a custom callback for converting DTO field names."""