Cleaned up the directories

elitebot/lib/python3.11/site-packages/sqlalchemy/ext/__init__.py

@@ -0,0 +1,11 @@
+# ext/__init__.py
+# Copyright (C) 2005-2024 the SQLAlchemy authors and contributors
+# <see AUTHORS file>
+#
+# This module is part of SQLAlchemy and is released under
+# the MIT License: https://www.opensource.org/licenses/mit-license.php
+
+from .. import util as _sa_util
+
+
+_sa_util.preloaded.import_prefix("sqlalchemy.ext")

elitebot/lib/python3.11/site-packages/sqlalchemy/ext/asyncio/__init__.py

@@ -0,0 +1,25 @@
+# ext/asyncio/__init__.py
+# Copyright (C) 2020-2024 the SQLAlchemy authors and contributors
+# <see AUTHORS file>
+#
+# This module is part of SQLAlchemy and is released under
+# the MIT License: https://www.opensource.org/licenses/mit-license.php
+
+from .engine import async_engine_from_config as async_engine_from_config
+from .engine import AsyncConnection as AsyncConnection
+from .engine import AsyncEngine as AsyncEngine
+from .engine import AsyncTransaction as AsyncTransaction
+from .engine import create_async_engine as create_async_engine
+from .engine import create_async_pool_from_url as create_async_pool_from_url
+from .result import AsyncMappingResult as AsyncMappingResult
+from .result import AsyncResult as AsyncResult
+from .result import AsyncScalarResult as AsyncScalarResult
+from .result import AsyncTupleResult as AsyncTupleResult
+from .scoping import async_scoped_session as async_scoped_session
+from .session import async_object_session as async_object_session
+from .session import async_session as async_session
+from .session import async_sessionmaker as async_sessionmaker
+from .session import AsyncAttrs as AsyncAttrs
+from .session import AsyncSession as AsyncSession
+from .session import AsyncSessionTransaction as AsyncSessionTransaction
+from .session import close_all_sessions as close_all_sessions

elitebot/lib/python3.11/site-packages/sqlalchemy/ext/asyncio/base.py

@@ -0,0 +1,279 @@
+# ext/asyncio/base.py
+# Copyright (C) 2020-2024 the SQLAlchemy authors and contributors
+# <see AUTHORS file>
+#
+# This module is part of SQLAlchemy and is released under
+# the MIT License: https://www.opensource.org/licenses/mit-license.php
+
+from __future__ import annotations
+
+import abc
+import functools
+from typing import Any
+from typing import AsyncGenerator
+from typing import AsyncIterator
+from typing import Awaitable
+from typing import Callable
+from typing import ClassVar
+from typing import Dict
+from typing import Generator
+from typing import Generic
+from typing import NoReturn
+from typing import Optional
+from typing import overload
+from typing import Tuple
+from typing import TypeVar
+import weakref
+
+from . import exc as async_exc
+from ... import util
+from ...util.typing import Literal
+from ...util.typing import Self
+
+_T = TypeVar("_T", bound=Any)
+_T_co = TypeVar("_T_co", bound=Any, covariant=True)
+
+
+_PT = TypeVar("_PT", bound=Any)
+
+
+class ReversibleProxy(Generic[_PT]):
+    _proxy_objects: ClassVar[
+        Dict[weakref.ref[Any], weakref.ref[ReversibleProxy[Any]]]
+    ] = {}
+    __slots__ = ("__weakref__",)
+
+    @overload
+    def _assign_proxied(self, target: _PT) -> _PT: ...
+
+    @overload
+    def _assign_proxied(self, target: None) -> None: ...
+
+    def _assign_proxied(self, target: Optional[_PT]) -> Optional[_PT]:
+        if target is not None:
+            target_ref: weakref.ref[_PT] = weakref.ref(
+                target, ReversibleProxy._target_gced
+            )
+            proxy_ref = weakref.ref(
+                self,
+                functools.partial(ReversibleProxy._target_gced, target_ref),
+            )
+            ReversibleProxy._proxy_objects[target_ref] = proxy_ref
+
+        return target
+
+    @classmethod
+    def _target_gced(
+        cls,
+        ref: weakref.ref[_PT],
+        proxy_ref: Optional[weakref.ref[Self]] = None,  # noqa: U100
+    ) -> None:
+        cls._proxy_objects.pop(ref, None)
+
+    @classmethod
+    def _regenerate_proxy_for_target(cls, target: _PT) -> Self:
+        raise NotImplementedError()
+
+    @overload
+    @classmethod
+    def _retrieve_proxy_for_target(
+        cls,
+        target: _PT,
+        regenerate: Literal[True] = ...,
+    ) -> Self: ...
+
+    @overload
+    @classmethod
+    def _retrieve_proxy_for_target(
+        cls, target: _PT, regenerate: bool = True
+    ) -> Optional[Self]: ...
+
+    @classmethod
+    def _retrieve_proxy_for_target(
+        cls, target: _PT, regenerate: bool = True
+    ) -> Optional[Self]:
+        try:
+            proxy_ref = cls._proxy_objects[weakref.ref(target)]
+        except KeyError:
+            pass
+        else:
+            proxy = proxy_ref()
+            if proxy is not None:
+                return proxy  # type: ignore
+
+        if regenerate:
+            return cls._regenerate_proxy_for_target(target)
+        else:
+            return None
+
+
+class StartableContext(Awaitable[_T_co], abc.ABC):
+    __slots__ = ()
+
+    @abc.abstractmethod
+    async def start(self, is_ctxmanager: bool = False) -> _T_co:
+        raise NotImplementedError()
+
+    def __await__(self) -> Generator[Any, Any, _T_co]:
+        return self.start().__await__()
+
+    async def __aenter__(self) -> _T_co:
+        return await self.start(is_ctxmanager=True)
+
+    @abc.abstractmethod
+    async def __aexit__(
+        self, type_: Any, value: Any, traceback: Any
+    ) -> Optional[bool]:
+        pass
+
+    def _raise_for_not_started(self) -> NoReturn:
+        raise async_exc.AsyncContextNotStarted(
+            "%s context has not been started and object has not been awaited."
+            % (self.__class__.__name__)
+        )
+
+
+class GeneratorStartableContext(StartableContext[_T_co]):
+    __slots__ = ("gen",)
+
+    gen: AsyncGenerator[_T_co, Any]
+
+    def __init__(
+        self,
+        func: Callable[..., AsyncIterator[_T_co]],
+        args: Tuple[Any, ...],
+        kwds: Dict[str, Any],
+    ):
+        self.gen = func(*args, **kwds)  # type: ignore
+
+    async def start(self, is_ctxmanager: bool = False) -> _T_co:
+        try:
+            start_value = await util.anext_(self.gen)
+        except StopAsyncIteration:
+            raise RuntimeError("generator didn't yield") from None
+
+        # if not a context manager, then interrupt the generator, don't
+        # let it complete.   this step is technically not needed, as the
+        # generator will close in any case at gc time.  not clear if having
+        # this here is a good idea or not (though it helps for clarity IMO)
+        if not is_ctxmanager:
+            await self.gen.aclose()
+
+        return start_value
+
+    async def __aexit__(
+        self, typ: Any, value: Any, traceback: Any
+    ) -> Optional[bool]:
+        # vendored from contextlib.py
+        if typ is None:
+            try:
+                await util.anext_(self.gen)
+            except StopAsyncIteration:
+                return False
+            else:
+                raise RuntimeError("generator didn't stop")
+        else:
+            if value is None:
+                # Need to force instantiation so we can reliably
+                # tell if we get the same exception back
+                value = typ()
+            try:
+                await self.gen.athrow(value)
+            except StopAsyncIteration as exc:
+                # Suppress StopIteration *unless* it's the same exception that
+                # was passed to throw().  This prevents a StopIteration
+                # raised inside the "with" statement from being suppressed.
+                return exc is not value
+            except RuntimeError as exc:
+                # Don't re-raise the passed in exception. (issue27122)
+                if exc is value:
+                    return False
+                # Avoid suppressing if a Stop(Async)Iteration exception
+                # was passed to athrow() and later wrapped into a RuntimeError
+                # (see PEP 479 for sync generators; async generators also
+                # have this behavior). But do this only if the exception
+                # wrapped
+                # by the RuntimeError is actully Stop(Async)Iteration (see
+                # issue29692).
+                if (
+                    isinstance(value, (StopIteration, StopAsyncIteration))
+                    and exc.__cause__ is value
+                ):
+                    return False
+                raise
+            except BaseException as exc:
+                # only re-raise if it's *not* the exception that was
+                # passed to throw(), because __exit__() must not raise
+                # an exception unless __exit__() itself failed.  But throw()
+                # has to raise the exception to signal propagation, so this
+                # fixes the impedance mismatch between the throw() protocol
+                # and the __exit__() protocol.
+                if exc is not value:
+                    raise
+                return False
+            raise RuntimeError("generator didn't stop after athrow()")
+
+
+def asyncstartablecontext(
+    func: Callable[..., AsyncIterator[_T_co]]
+) -> Callable[..., GeneratorStartableContext[_T_co]]:
+    """@asyncstartablecontext decorator.
+
+    the decorated function can be called either as ``async with fn()``, **or**
+    ``await fn()``.   This is decidedly different from what
+    ``@contextlib.asynccontextmanager`` supports, and the usage pattern
+    is different as well.
+
+    Typical usage::
+
+        @asyncstartablecontext
+        async def some_async_generator(<arguments>):
+            <setup>
+            try:
+                yield <value>
+            except GeneratorExit:
+                # return value was awaited, no context manager is present
+                # and caller will .close() the resource explicitly
+                pass
+            else:
+                <context manager cleanup>
+
+
+    Above, ``GeneratorExit`` is caught if the function were used as an
+    ``await``.  In this case, it's essential that the cleanup does **not**
+    occur, so there should not be a ``finally`` block.
+
+    If ``GeneratorExit`` is not invoked, this means we're in ``__aexit__``
+    and we were invoked as a context manager, and cleanup should proceed.
+
+
+    """
+
+    @functools.wraps(func)
+    def helper(*args: Any, **kwds: Any) -> GeneratorStartableContext[_T_co]:
+        return GeneratorStartableContext(func, args, kwds)
+
+    return helper
+
+
+class ProxyComparable(ReversibleProxy[_PT]):
+    __slots__ = ()
+
+    @util.ro_non_memoized_property
+    def _proxied(self) -> _PT:
+        raise NotImplementedError()
+
+    def __hash__(self) -> int:
+        return id(self)
+
+    def __eq__(self, other: Any) -> bool:
+        return (
+            isinstance(other, self.__class__)
+            and self._proxied == other._proxied
+        )
+
+    def __ne__(self, other: Any) -> bool:
+        return (
+            not isinstance(other, self.__class__)
+            or self._proxied != other._proxied
+        )

elitebot/lib/python3.11/site-packages/sqlalchemy/ext/asyncio/exc.py

@@ -0,0 +1,21 @@
+# ext/asyncio/exc.py
+# Copyright (C) 2020-2024 the SQLAlchemy authors and contributors
+# <see AUTHORS file>
+#
+# This module is part of SQLAlchemy and is released under
+# the MIT License: https://www.opensource.org/licenses/mit-license.php
+
+from ... import exc
+
+
+class AsyncMethodRequired(exc.InvalidRequestError):
+    """an API can't be used because its result would not be
+    compatible with async"""
+
+
+class AsyncContextNotStarted(exc.InvalidRequestError):
+    """a startable context manager has not been started."""
+
+
+class AsyncContextAlreadyStarted(exc.InvalidRequestError):
+    """a startable context manager is already started."""

elitebot/lib/python3.11/site-packages/sqlalchemy/ext/asyncio/result.py

@@ -0,0 +1,961 @@
+# ext/asyncio/result.py
+# Copyright (C) 2020-2024 the SQLAlchemy authors and contributors
+# <see AUTHORS file>
+#
+# This module is part of SQLAlchemy and is released under
+# the MIT License: https://www.opensource.org/licenses/mit-license.php
+from __future__ import annotations
+
+import operator
+from typing import Any
+from typing import AsyncIterator
+from typing import Optional
+from typing import overload
+from typing import Sequence
+from typing import Tuple
+from typing import TYPE_CHECKING
+from typing import TypeVar
+
+from . import exc as async_exc
+from ... import util
+from ...engine import Result
+from ...engine.result import _NO_ROW
+from ...engine.result import _R
+from ...engine.result import _WithKeys
+from ...engine.result import FilterResult
+from ...engine.result import FrozenResult
+from ...engine.result import ResultMetaData
+from ...engine.row import Row
+from ...engine.row import RowMapping
+from ...sql.base import _generative
+from ...util.concurrency import greenlet_spawn
+from ...util.typing import Literal
+from ...util.typing import Self
+
+if TYPE_CHECKING:
+    from ...engine import CursorResult
+    from ...engine.result import _KeyIndexType
+    from ...engine.result import _UniqueFilterType
+
+_T = TypeVar("_T", bound=Any)
+_TP = TypeVar("_TP", bound=Tuple[Any, ...])
+
+
+class AsyncCommon(FilterResult[_R]):
+    __slots__ = ()
+
+    _real_result: Result[Any]
+    _metadata: ResultMetaData
+
+    async def close(self) -> None:  # type: ignore[override]
+        """Close this result."""
+
+        await greenlet_spawn(self._real_result.close)
+
+    @property
+    def closed(self) -> bool:
+        """proxies the .closed attribute of the underlying result object,
+        if any, else raises ``AttributeError``.
+
+        .. versionadded:: 2.0.0b3
+
+        """
+        return self._real_result.closed
+
+
+class AsyncResult(_WithKeys, AsyncCommon[Row[_TP]]):
+    """An asyncio wrapper around a :class:`_result.Result` object.
+
+    The :class:`_asyncio.AsyncResult` only applies to statement executions that
+    use a server-side cursor.  It is returned only from the
+    :meth:`_asyncio.AsyncConnection.stream` and
+    :meth:`_asyncio.AsyncSession.stream` methods.
+
+    .. note:: As is the case with :class:`_engine.Result`, this object is
+       used for ORM results returned by :meth:`_asyncio.AsyncSession.execute`,
+       which can yield instances of ORM mapped objects either individually or
+       within tuple-like rows.  Note that these result objects do not
+       deduplicate instances or rows automatically as is the case with the
+       legacy :class:`_orm.Query` object. For in-Python de-duplication of
+       instances or rows, use the :meth:`_asyncio.AsyncResult.unique` modifier
+       method.
+
+    .. versionadded:: 1.4
+
+    """
+
+    __slots__ = ()
+
+    _real_result: Result[_TP]
+
+    def __init__(self, real_result: Result[_TP]):
+        self._real_result = real_result
+
+        self._metadata = real_result._metadata
+        self._unique_filter_state = real_result._unique_filter_state
+        self._post_creational_filter = None
+
+        # BaseCursorResult pre-generates the "_row_getter".  Use that
+        # if available rather than building a second one
+        if "_row_getter" in real_result.__dict__:
+            self._set_memoized_attribute(
+                "_row_getter", real_result.__dict__["_row_getter"]
+            )
+
+    @property
+    def t(self) -> AsyncTupleResult[_TP]:
+        """Apply a "typed tuple" typing filter to returned rows.
+
+        The :attr:`_asyncio.AsyncResult.t` attribute is a synonym for
+        calling the :meth:`_asyncio.AsyncResult.tuples` method.
+
+        .. versionadded:: 2.0
+
+        """
+        return self  # type: ignore
+
+    def tuples(self) -> AsyncTupleResult[_TP]:
+        """Apply a "typed tuple" typing filter to returned rows.
+
+        This method returns the same :class:`_asyncio.AsyncResult` object
+        at runtime,
+        however annotates as returning a :class:`_asyncio.AsyncTupleResult`
+        object that will indicate to :pep:`484` typing tools that plain typed
+        ``Tuple`` instances are returned rather than rows.  This allows
+        tuple unpacking and ``__getitem__`` access of :class:`_engine.Row`
+        objects to by typed, for those cases where the statement invoked
+        itself included typing information.
+
+        .. versionadded:: 2.0
+
+        :return: the :class:`_result.AsyncTupleResult` type at typing time.
+
+        .. seealso::
+
+            :attr:`_asyncio.AsyncResult.t` - shorter synonym
+
+            :attr:`_engine.Row.t` - :class:`_engine.Row` version
+
+        """
+
+        return self  # type: ignore
+
+    @_generative
+    def unique(self, strategy: Optional[_UniqueFilterType] = None) -> Self:
+        """Apply unique filtering to the objects returned by this
+        :class:`_asyncio.AsyncResult`.
+
+        Refer to :meth:`_engine.Result.unique` in the synchronous
+        SQLAlchemy API for a complete behavioral description.
+
+        """
+        self._unique_filter_state = (set(), strategy)
+        return self
+
+    def columns(self, *col_expressions: _KeyIndexType) -> Self:
+        r"""Establish the columns that should be returned in each row.
+
+        Refer to :meth:`_engine.Result.columns` in the synchronous
+        SQLAlchemy API for a complete behavioral description.
+
+        """
+        return self._column_slices(col_expressions)
+
+    async def partitions(
+        self, size: Optional[int] = None
+    ) -> AsyncIterator[Sequence[Row[_TP]]]:
+        """Iterate through sub-lists of rows of the size given.
+
+        An async iterator is returned::
+
+            async def scroll_results(connection):
+                result = await connection.stream(select(users_table))
+
+                async for partition in result.partitions(100):
+                    print("list of rows: %s" % partition)
+
+        Refer to :meth:`_engine.Result.partitions` in the synchronous
+        SQLAlchemy API for a complete behavioral description.
+
+        """
+
+        getter = self._manyrow_getter
+
+        while True:
+            partition = await greenlet_spawn(getter, self, size)
+            if partition:
+                yield partition
+            else:
+                break
+
+    async def fetchall(self) -> Sequence[Row[_TP]]:
+        """A synonym for the :meth:`_asyncio.AsyncResult.all` method.
+
+        .. versionadded:: 2.0
+
+        """
+
+        return await greenlet_spawn(self._allrows)
+
+    async def fetchone(self) -> Optional[Row[_TP]]:
+        """Fetch one row.
+
+        When all rows are exhausted, returns None.
+
+        This method is provided for backwards compatibility with
+        SQLAlchemy 1.x.x.
+
+        To fetch the first row of a result only, use the
+        :meth:`_asyncio.AsyncResult.first` method.  To iterate through all
+        rows, iterate the :class:`_asyncio.AsyncResult` object directly.
+
+        :return: a :class:`_engine.Row` object if no filters are applied,
+         or ``None`` if no rows remain.
+
+        """
+        row = await greenlet_spawn(self._onerow_getter, self)
+        if row is _NO_ROW:
+            return None
+        else:
+            return row
+
+    async def fetchmany(
+        self, size: Optional[int] = None
+    ) -> Sequence[Row[_TP]]:
+        """Fetch many rows.
+
+        When all rows are exhausted, returns an empty list.
+
+        This method is provided for backwards compatibility with
+        SQLAlchemy 1.x.x.
+
+        To fetch rows in groups, use the
+        :meth:`._asyncio.AsyncResult.partitions` method.
+
+        :return: a list of :class:`_engine.Row` objects.
+
+        .. seealso::
+
+            :meth:`_asyncio.AsyncResult.partitions`
+
+        """
+
+        return await greenlet_spawn(self._manyrow_getter, self, size)
+
+    async def all(self) -> Sequence[Row[_TP]]:
+        """Return all rows in a list.
+
+        Closes the result set after invocation.   Subsequent invocations
+        will return an empty list.
+
+        :return: a list of :class:`_engine.Row` objects.
+
+        """
+
+        return await greenlet_spawn(self._allrows)
+
+    def __aiter__(self) -> AsyncResult[_TP]:
+        return self
+
+    async def __anext__(self) -> Row[_TP]:
+        row = await greenlet_spawn(self._onerow_getter, self)
+        if row is _NO_ROW:
+            raise StopAsyncIteration()
+        else:
+            return row
+
+    async def first(self) -> Optional[Row[_TP]]:
+        """Fetch the first row or ``None`` if no row is present.
+
+        Closes the result set and discards remaining rows.
+
+        .. note::  This method returns one **row**, e.g. tuple, by default.
+           To return exactly one single scalar value, that is, the first
+           column of the first row, use the
+           :meth:`_asyncio.AsyncResult.scalar` method,
+           or combine :meth:`_asyncio.AsyncResult.scalars` and
+           :meth:`_asyncio.AsyncResult.first`.
+
+           Additionally, in contrast to the behavior of the legacy  ORM
+           :meth:`_orm.Query.first` method, **no limit is applied** to the
+           SQL query which was invoked to produce this
+           :class:`_asyncio.AsyncResult`;
+           for a DBAPI driver that buffers results in memory before yielding
+           rows, all rows will be sent to the Python process and all but
+           the first row will be discarded.
+
+           .. seealso::
+
+                :ref:`migration_20_unify_select`
+
+        :return: a :class:`_engine.Row` object, or None
+         if no rows remain.
+
+        .. seealso::
+
+            :meth:`_asyncio.AsyncResult.scalar`
+
+            :meth:`_asyncio.AsyncResult.one`
+
+        """
+        return await greenlet_spawn(self._only_one_row, False, False, False)
+
+    async def one_or_none(self) -> Optional[Row[_TP]]:
+        """Return at most one result or raise an exception.
+
+        Returns ``None`` if the result has no rows.
+        Raises :class:`.MultipleResultsFound`
+        if multiple rows are returned.
+
+        .. versionadded:: 1.4
+
+        :return: The first :class:`_engine.Row` or ``None`` if no row
+         is available.
+
+        :raises: :class:`.MultipleResultsFound`
+
+        .. seealso::
+
+            :meth:`_asyncio.AsyncResult.first`
+
+            :meth:`_asyncio.AsyncResult.one`
+
+        """
+        return await greenlet_spawn(self._only_one_row, True, False, False)
+
+    @overload
+    async def scalar_one(self: AsyncResult[Tuple[_T]]) -> _T: ...
+
+    @overload
+    async def scalar_one(self) -> Any: ...
+
+    async def scalar_one(self) -> Any:
+        """Return exactly one scalar result or raise an exception.
+
+        This is equivalent to calling :meth:`_asyncio.AsyncResult.scalars` and
+        then :meth:`_asyncio.AsyncResult.one`.
+
+        .. seealso::
+
+            :meth:`_asyncio.AsyncResult.one`
+
+            :meth:`_asyncio.AsyncResult.scalars`
+
+        """
+        return await greenlet_spawn(self._only_one_row, True, True, True)
+
+    @overload
+    async def scalar_one_or_none(
+        self: AsyncResult[Tuple[_T]],
+    ) -> Optional[_T]: ...
+
+    @overload
+    async def scalar_one_or_none(self) -> Optional[Any]: ...
+
+    async def scalar_one_or_none(self) -> Optional[Any]:
+        """Return exactly one scalar result or ``None``.
+
+        This is equivalent to calling :meth:`_asyncio.AsyncResult.scalars` and
+        then :meth:`_asyncio.AsyncResult.one_or_none`.
+
+        .. seealso::
+
+            :meth:`_asyncio.AsyncResult.one_or_none`
+
+            :meth:`_asyncio.AsyncResult.scalars`
+
+        """
+        return await greenlet_spawn(self._only_one_row, True, False, True)
+
+    async def one(self) -> Row[_TP]:
+        """Return exactly one row or raise an exception.
+
+        Raises :class:`.NoResultFound` if the result returns no
+        rows, or :class:`.MultipleResultsFound` if multiple rows
+        would be returned.
+
+        .. note::  This method returns one **row**, e.g. tuple, by default.
+           To return exactly one single scalar value, that is, the first
+           column of the first row, use the
+           :meth:`_asyncio.AsyncResult.scalar_one` method, or combine
+           :meth:`_asyncio.AsyncResult.scalars` and
+           :meth:`_asyncio.AsyncResult.one`.
+
+        .. versionadded:: 1.4
+
+        :return: The first :class:`_engine.Row`.
+
+        :raises: :class:`.MultipleResultsFound`, :class:`.NoResultFound`
+
+        .. seealso::
+
+            :meth:`_asyncio.AsyncResult.first`
+
+            :meth:`_asyncio.AsyncResult.one_or_none`
+
+            :meth:`_asyncio.AsyncResult.scalar_one`
+
+        """
+        return await greenlet_spawn(self._only_one_row, True, True, False)
+
+    @overload
+    async def scalar(self: AsyncResult[Tuple[_T]]) -> Optional[_T]: ...
+
+    @overload
+    async def scalar(self) -> Any: ...
+
+    async def scalar(self) -> Any:
+        """Fetch the first column of the first row, and close the result set.
+
+        Returns ``None`` if there are no rows to fetch.
+
+        No validation is performed to test if additional rows remain.
+
+        After calling this method, the object is fully closed,
+        e.g. the :meth:`_engine.CursorResult.close`
+        method will have been called.
+
+        :return: a Python scalar value, or ``None`` if no rows remain.
+
+        """
+        return await greenlet_spawn(self._only_one_row, False, False, True)
+
+    async def freeze(self) -> FrozenResult[_TP]:
+        """Return a callable object that will produce copies of this
+        :class:`_asyncio.AsyncResult` when invoked.
+
+        The callable object returned is an instance of
+        :class:`_engine.FrozenResult`.
+
+        This is used for result set caching.  The method must be called
+        on the result when it has been unconsumed, and calling the method
+        will consume the result fully.   When the :class:`_engine.FrozenResult`
+        is retrieved from a cache, it can be called any number of times where
+        it will produce a new :class:`_engine.Result` object each time
+        against its stored set of rows.
+
+        .. seealso::
+
+            :ref:`do_orm_execute_re_executing` - example usage within the
+            ORM to implement a result-set cache.
+
+        """
+
+        return await greenlet_spawn(FrozenResult, self)
+
+    @overload
+    def scalars(
+        self: AsyncResult[Tuple[_T]], index: Literal[0]
+    ) -> AsyncScalarResult[_T]: ...
+
+    @overload
+    def scalars(self: AsyncResult[Tuple[_T]]) -> AsyncScalarResult[_T]: ...
+
+    @overload
+    def scalars(self, index: _KeyIndexType = 0) -> AsyncScalarResult[Any]: ...
+
+    def scalars(self, index: _KeyIndexType = 0) -> AsyncScalarResult[Any]:
+        """Return an :class:`_asyncio.AsyncScalarResult` filtering object which
+        will return single elements rather than :class:`_row.Row` objects.
+
+        Refer to :meth:`_result.Result.scalars` in the synchronous
+        SQLAlchemy API for a complete behavioral description.
+
+        :param index: integer or row key indicating the column to be fetched
+         from each row, defaults to ``0`` indicating the first column.
+
+        :return: a new :class:`_asyncio.AsyncScalarResult` filtering object
+         referring to this :class:`_asyncio.AsyncResult` object.
+
+        """
+        return AsyncScalarResult(self._real_result, index)
+
+    def mappings(self) -> AsyncMappingResult:
+        """Apply a mappings filter to returned rows, returning an instance of
+        :class:`_asyncio.AsyncMappingResult`.
+
+        When this filter is applied, fetching rows will return
+        :class:`_engine.RowMapping` objects instead of :class:`_engine.Row`
+        objects.
+
+        :return: a new :class:`_asyncio.AsyncMappingResult` filtering object
+         referring to the underlying :class:`_result.Result` object.
+
+        """
+
+        return AsyncMappingResult(self._real_result)
+
+
+class AsyncScalarResult(AsyncCommon[_R]):
+    """A wrapper for a :class:`_asyncio.AsyncResult` that returns scalar values
+    rather than :class:`_row.Row` values.
+
+    The :class:`_asyncio.AsyncScalarResult` object is acquired by calling the
+    :meth:`_asyncio.AsyncResult.scalars` method.
+
+    Refer to the :class:`_result.ScalarResult` object in the synchronous
+    SQLAlchemy API for a complete behavioral description.
+
+    .. versionadded:: 1.4
+
+    """
+
+    __slots__ = ()
+
+    _generate_rows = False
+
+    def __init__(self, real_result: Result[Any], index: _KeyIndexType):
+        self._real_result = real_result
+
+        if real_result._source_supports_scalars:
+            self._metadata = real_result._metadata
+            self._post_creational_filter = None
+        else:
+            self._metadata = real_result._metadata._reduce([index])
+            self._post_creational_filter = operator.itemgetter(0)
+
+        self._unique_filter_state = real_result._unique_filter_state
+
+    def unique(
+        self,
+        strategy: Optional[_UniqueFilterType] = None,
+    ) -> Self:
+        """Apply unique filtering to the objects returned by this
+        :class:`_asyncio.AsyncScalarResult`.
+
+        See :meth:`_asyncio.AsyncResult.unique` for usage details.
+
+        """
+        self._unique_filter_state = (set(), strategy)
+        return self
+
+    async def partitions(
+        self, size: Optional[int] = None
+    ) -> AsyncIterator[Sequence[_R]]:
+        """Iterate through sub-lists of elements of the size given.
+
+        Equivalent to :meth:`_asyncio.AsyncResult.partitions` except that
+        scalar values, rather than :class:`_engine.Row` objects,
+        are returned.
+
+        """
+
+        getter = self._manyrow_getter
+
+        while True:
+            partition = await greenlet_spawn(getter, self, size)
+            if partition:
+                yield partition
+            else:
+                break
+
+    async def fetchall(self) -> Sequence[_R]:
+        """A synonym for the :meth:`_asyncio.AsyncScalarResult.all` method."""
+
+        return await greenlet_spawn(self._allrows)
+
+    async def fetchmany(self, size: Optional[int] = None) -> Sequence[_R]:
+        """Fetch many objects.
+
+        Equivalent to :meth:`_asyncio.AsyncResult.fetchmany` except that
+        scalar values, rather than :class:`_engine.Row` objects,
+        are returned.
+
+        """
+        return await greenlet_spawn(self._manyrow_getter, self, size)
+
+    async def all(self) -> Sequence[_R]:
+        """Return all scalar values in a list.
+
+        Equivalent to :meth:`_asyncio.AsyncResult.all` except that
+        scalar values, rather than :class:`_engine.Row` objects,
+        are returned.
+
+        """
+        return await greenlet_spawn(self._allrows)
+
+    def __aiter__(self) -> AsyncScalarResult[_R]:
+        return self
+
+    async def __anext__(self) -> _R:
+        row = await greenlet_spawn(self._onerow_getter, self)
+        if row is _NO_ROW:
+            raise StopAsyncIteration()
+        else:
+            return row
+
+    async def first(self) -> Optional[_R]:
+        """Fetch the first object or ``None`` if no object is present.
+
+        Equivalent to :meth:`_asyncio.AsyncResult.first` except that
+        scalar values, rather than :class:`_engine.Row` objects,
+        are returned.
+
+        """
+        return await greenlet_spawn(self._only_one_row, False, False, False)
+
+    async def one_or_none(self) -> Optional[_R]:
+        """Return at most one object or raise an exception.
+
+        Equivalent to :meth:`_asyncio.AsyncResult.one_or_none` except that
+        scalar values, rather than :class:`_engine.Row` objects,
+        are returned.
+
+        """
+        return await greenlet_spawn(self._only_one_row, True, False, False)
+
+    async def one(self) -> _R:
+        """Return exactly one object or raise an exception.
+
+        Equivalent to :meth:`_asyncio.AsyncResult.one` except that
+        scalar values, rather than :class:`_engine.Row` objects,
+        are returned.
+
+        """
+        return await greenlet_spawn(self._only_one_row, True, True, False)
+
+
+class AsyncMappingResult(_WithKeys, AsyncCommon[RowMapping]):
+    """A wrapper for a :class:`_asyncio.AsyncResult` that returns dictionary
+    values rather than :class:`_engine.Row` values.
+
+    The :class:`_asyncio.AsyncMappingResult` object is acquired by calling the
+    :meth:`_asyncio.AsyncResult.mappings` method.
+
+    Refer to the :class:`_result.MappingResult` object in the synchronous
+    SQLAlchemy API for a complete behavioral description.
+
+    .. versionadded:: 1.4
+
+    """
+
+    __slots__ = ()
+
+    _generate_rows = True
+
+    _post_creational_filter = operator.attrgetter("_mapping")
+
+    def __init__(self, result: Result[Any]):
+        self._real_result = result
+        self._unique_filter_state = result._unique_filter_state
+        self._metadata = result._metadata
+        if result._source_supports_scalars:
+            self._metadata = self._metadata._reduce([0])
+
+    def unique(
+        self,
+        strategy: Optional[_UniqueFilterType] = None,
+    ) -> Self:
+        """Apply unique filtering to the objects returned by this
+        :class:`_asyncio.AsyncMappingResult`.
+
+        See :meth:`_asyncio.AsyncResult.unique` for usage details.
+
+        """
+        self._unique_filter_state = (set(), strategy)
+        return self
+
+    def columns(self, *col_expressions: _KeyIndexType) -> Self:
+        r"""Establish the columns that should be returned in each row."""
+        return self._column_slices(col_expressions)
+
+    async def partitions(
+        self, size: Optional[int] = None
+    ) -> AsyncIterator[Sequence[RowMapping]]:
+        """Iterate through sub-lists of elements of the size given.
+
+        Equivalent to :meth:`_asyncio.AsyncResult.partitions` except that
+        :class:`_engine.RowMapping` values, rather than :class:`_engine.Row`
+        objects, are returned.
+
+        """
+
+        getter = self._manyrow_getter
+
+        while True:
+            partition = await greenlet_spawn(getter, self, size)
+            if partition:
+                yield partition
+            else:
+                break
+
+    async def fetchall(self) -> Sequence[RowMapping]:
+        """A synonym for the :meth:`_asyncio.AsyncMappingResult.all` method."""
+
+        return await greenlet_spawn(self._allrows)
+
+    async def fetchone(self) -> Optional[RowMapping]:
+        """Fetch one object.
+
+        Equivalent to :meth:`_asyncio.AsyncResult.fetchone` except that
+        :class:`_engine.RowMapping` values, rather than :class:`_engine.Row`
+        objects, are returned.
+
+        """
+
+        row = await greenlet_spawn(self._onerow_getter, self)
+        if row is _NO_ROW:
+            return None
+        else:
+            return row
+
+    async def fetchmany(
+        self, size: Optional[int] = None
+    ) -> Sequence[RowMapping]:
+        """Fetch many rows.
+
+        Equivalent to :meth:`_asyncio.AsyncResult.fetchmany` except that
+        :class:`_engine.RowMapping` values, rather than :class:`_engine.Row`
+        objects, are returned.
+
+        """
+
+        return await greenlet_spawn(self._manyrow_getter, self, size)
+
+    async def all(self) -> Sequence[RowMapping]:
+        """Return all rows in a list.
+
+        Equivalent to :meth:`_asyncio.AsyncResult.all` except that
+        :class:`_engine.RowMapping` values, rather than :class:`_engine.Row`
+        objects, are returned.
+
+        """
+
+        return await greenlet_spawn(self._allrows)
+
+    def __aiter__(self) -> AsyncMappingResult:
+        return self
+
+    async def __anext__(self) -> RowMapping:
+        row = await greenlet_spawn(self._onerow_getter, self)
+        if row is _NO_ROW:
+            raise StopAsyncIteration()
+        else:
+            return row
+
+    async def first(self) -> Optional[RowMapping]:
+        """Fetch the first object or ``None`` if no object is present.
+
+        Equivalent to :meth:`_asyncio.AsyncResult.first` except that
+        :class:`_engine.RowMapping` values, rather than :class:`_engine.Row`
+        objects, are returned.
+
+        """
+        return await greenlet_spawn(self._only_one_row, False, False, False)
+
+    async def one_or_none(self) -> Optional[RowMapping]:
+        """Return at most one object or raise an exception.
+
+        Equivalent to :meth:`_asyncio.AsyncResult.one_or_none` except that
+        :class:`_engine.RowMapping` values, rather than :class:`_engine.Row`
+        objects, are returned.
+
+        """
+        return await greenlet_spawn(self._only_one_row, True, False, False)
+
+    async def one(self) -> RowMapping:
+        """Return exactly one object or raise an exception.
+
+        Equivalent to :meth:`_asyncio.AsyncResult.one` except that
+        :class:`_engine.RowMapping` values, rather than :class:`_engine.Row`
+        objects, are returned.
+
+        """
+        return await greenlet_spawn(self._only_one_row, True, True, False)
+
+
+class AsyncTupleResult(AsyncCommon[_R], util.TypingOnly):
+    """A :class:`_asyncio.AsyncResult` that's typed as returning plain
+    Python tuples instead of rows.
+
+    Since :class:`_engine.Row` acts like a tuple in every way already,
+    this class is a typing only class, regular :class:`_asyncio.AsyncResult` is
+    still used at runtime.
+
+    """
+
+    __slots__ = ()
+
+    if TYPE_CHECKING:
+
+        async def partitions(
+            self, size: Optional[int] = None
+        ) -> AsyncIterator[Sequence[_R]]:
+            """Iterate through sub-lists of elements of the size given.
+
+            Equivalent to :meth:`_result.Result.partitions` except that
+            tuple values, rather than :class:`_engine.Row` objects,
+            are returned.
+
+            """
+            ...
+
+        async def fetchone(self) -> Optional[_R]:
+            """Fetch one tuple.
+
+            Equivalent to :meth:`_result.Result.fetchone` except that
+            tuple values, rather than :class:`_engine.Row`
+            objects, are returned.
+
+            """
+            ...
+
+        async def fetchall(self) -> Sequence[_R]:
+            """A synonym for the :meth:`_engine.ScalarResult.all` method."""
+            ...
+
+        async def fetchmany(self, size: Optional[int] = None) -> Sequence[_R]:
+            """Fetch many objects.
+
+            Equivalent to :meth:`_result.Result.fetchmany` except that
+            tuple values, rather than :class:`_engine.Row` objects,
+            are returned.
+
+            """
+            ...
+
+        async def all(self) -> Sequence[_R]:  # noqa: A001
+            """Return all scalar values in a list.
+
+            Equivalent to :meth:`_result.Result.all` except that
+            tuple values, rather than :class:`_engine.Row` objects,
+            are returned.
+
+            """
+            ...
+
+        async def __aiter__(self) -> AsyncIterator[_R]: ...
+
+        async def __anext__(self) -> _R: ...
+
+        async def first(self) -> Optional[_R]:
+            """Fetch the first object or ``None`` if no object is present.
+
+            Equivalent to :meth:`_result.Result.first` except that
+            tuple values, rather than :class:`_engine.Row` objects,
+            are returned.
+
+
+            """
+            ...
+
+        async def one_or_none(self) -> Optional[_R]:
+            """Return at most one object or raise an exception.
+
+            Equivalent to :meth:`_result.Result.one_or_none` except that
+            tuple values, rather than :class:`_engine.Row` objects,
+            are returned.
+
+            """
+            ...
+
+        async def one(self) -> _R:
+            """Return exactly one object or raise an exception.
+
+            Equivalent to :meth:`_result.Result.one` except that
+            tuple values, rather than :class:`_engine.Row` objects,
+            are returned.
+
+            """
+            ...
+
+        @overload
+        async def scalar_one(self: AsyncTupleResult[Tuple[_T]]) -> _T: ...
+
+        @overload
+        async def scalar_one(self) -> Any: ...
+
+        async def scalar_one(self) -> Any:
+            """Return exactly one scalar result or raise an exception.
+
+            This is equivalent to calling :meth:`_engine.Result.scalars`
+            and then :meth:`_engine.Result.one`.
+
+            .. seealso::
+
+                :meth:`_engine.Result.one`
+
+                :meth:`_engine.Result.scalars`
+
+            """
+            ...
+
+        @overload
+        async def scalar_one_or_none(
+            self: AsyncTupleResult[Tuple[_T]],
+        ) -> Optional[_T]: ...
+
+        @overload
+        async def scalar_one_or_none(self) -> Optional[Any]: ...
+
+        async def scalar_one_or_none(self) -> Optional[Any]:
+            """Return exactly one or no scalar result.
+
+            This is equivalent to calling :meth:`_engine.Result.scalars`
+            and then :meth:`_engine.Result.one_or_none`.
+
+            .. seealso::
+
+                :meth:`_engine.Result.one_or_none`
+
+                :meth:`_engine.Result.scalars`
+
+            """
+            ...
+
+        @overload
+        async def scalar(
+            self: AsyncTupleResult[Tuple[_T]],
+        ) -> Optional[_T]: ...
+
+        @overload
+        async def scalar(self) -> Any: ...
+
+        async def scalar(self) -> Any:
+            """Fetch the first column of the first row, and close the result
+            set.
+
+            Returns ``None`` if there are no rows to fetch.
+
+            No validation is performed to test if additional rows remain.
+
+            After calling this method, the object is fully closed,
+            e.g. the :meth:`_engine.CursorResult.close`
+            method will have been called.
+
+            :return: a Python scalar value , or ``None`` if no rows remain.
+
+            """
+            ...
+
+
+_RT = TypeVar("_RT", bound="Result[Any]")
+
+
+async def _ensure_sync_result(result: _RT, calling_method: Any) -> _RT:
+    cursor_result: CursorResult[Any]
+
+    try:
+        is_cursor = result._is_cursor
+    except AttributeError:
+        # legacy execute(DefaultGenerator) case
+        return result
+
+    if not is_cursor:
+        cursor_result = getattr(result, "raw", None)  # type: ignore
+    else:
+        cursor_result = result  # type: ignore
+    if cursor_result and cursor_result.context._is_server_side:
+        await greenlet_spawn(cursor_result.close)
+        raise async_exc.AsyncMethodRequired(
+            "Can't use the %s.%s() method with a "
+            "server-side cursor. "
+            "Use the %s.stream() method for an async "
+            "streaming result set."
+            % (
+                calling_method.__self__.__class__.__name__,
+                calling_method.__name__,
+                calling_method.__self__.__class__.__name__,
+            )
+        )
+    return result

elitebot/lib/python3.11/site-packages/sqlalchemy/ext/baked.py

@@ -0,0 +1,574 @@
+# ext/baked.py
+# Copyright (C) 2005-2024 the SQLAlchemy authors and contributors
+# <see AUTHORS file>
+#
+# This module is part of SQLAlchemy and is released under
+# the MIT License: https://www.opensource.org/licenses/mit-license.php
+# mypy: ignore-errors
+
+
+"""Baked query extension.
+
+Provides a creational pattern for the :class:`.query.Query` object which
+allows the fully constructed object, Core select statement, and string
+compiled result to be fully cached.
+
+
+"""
+
+import collections.abc as collections_abc
+import logging
+
+from .. import exc as sa_exc
+from .. import util
+from ..orm import exc as orm_exc
+from ..orm.query import Query
+from ..orm.session import Session
+from ..sql import func
+from ..sql import literal_column
+from ..sql import util as sql_util
+
+
+log = logging.getLogger(__name__)
+
+
+class Bakery:
+    """Callable which returns a :class:`.BakedQuery`.
+
+    This object is returned by the class method
+    :meth:`.BakedQuery.bakery`.  It exists as an object
+    so that the "cache" can be easily inspected.
+
+    .. versionadded:: 1.2
+
+
+    """
+
+    __slots__ = "cls", "cache"
+
+    def __init__(self, cls_, cache):
+        self.cls = cls_
+        self.cache = cache
+
+    def __call__(self, initial_fn, *args):
+        return self.cls(self.cache, initial_fn, args)
+
+
+class BakedQuery:
+    """A builder object for :class:`.query.Query` objects."""
+
+    __slots__ = "steps", "_bakery", "_cache_key", "_spoiled"
+
+    def __init__(self, bakery, initial_fn, args=()):
+        self._cache_key = ()
+        self._update_cache_key(initial_fn, args)
+        self.steps = [initial_fn]
+        self._spoiled = False
+        self._bakery = bakery
+
+    @classmethod
+    def bakery(cls, size=200, _size_alert=None):
+        """Construct a new bakery.
+
+        :return: an instance of :class:`.Bakery`
+
+        """
+
+        return Bakery(cls, util.LRUCache(size, size_alert=_size_alert))
+
+    def _clone(self):
+        b1 = BakedQuery.__new__(BakedQuery)
+        b1._cache_key = self._cache_key
+        b1.steps = list(self.steps)
+        b1._bakery = self._bakery
+        b1._spoiled = self._spoiled
+        return b1
+
+    def _update_cache_key(self, fn, args=()):
+        self._cache_key += (fn.__code__,) + args
+
+    def __iadd__(self, other):
+        if isinstance(other, tuple):
+            self.add_criteria(*other)
+        else:
+            self.add_criteria(other)
+        return self
+
+    def __add__(self, other):
+        if isinstance(other, tuple):
+            return self.with_criteria(*other)
+        else:
+            return self.with_criteria(other)
+
+    def add_criteria(self, fn, *args):
+        """Add a criteria function to this :class:`.BakedQuery`.
+
+        This is equivalent to using the ``+=`` operator to
+        modify a :class:`.BakedQuery` in-place.
+
+        """
+        self._update_cache_key(fn, args)
+        self.steps.append(fn)
+        return self
+
+    def with_criteria(self, fn, *args):
+        """Add a criteria function to a :class:`.BakedQuery` cloned from this
+        one.
+
+        This is equivalent to using the ``+`` operator to
+        produce a new :class:`.BakedQuery` with modifications.
+
+        """
+        return self._clone().add_criteria(fn, *args)
+
+    def for_session(self, session):
+        """Return a :class:`_baked.Result` object for this
+        :class:`.BakedQuery`.
+
+        This is equivalent to calling the :class:`.BakedQuery` as a
+        Python callable, e.g. ``result = my_baked_query(session)``.
+
+        """
+        return Result(self, session)
+
+    def __call__(self, session):
+        return self.for_session(session)
+
+    def spoil(self, full=False):
+        """Cancel any query caching that will occur on this BakedQuery object.
+
+        The BakedQuery can continue to be used normally, however additional
+        creational functions will not be cached; they will be called
+        on every invocation.
+
+        This is to support the case where a particular step in constructing
+        a baked query disqualifies the query from being cacheable, such
+        as a variant that relies upon some uncacheable value.
+
+        :param full: if False, only functions added to this
+         :class:`.BakedQuery` object subsequent to the spoil step will be
+         non-cached; the state of the :class:`.BakedQuery` up until
+         this point will be pulled from the cache.   If True, then the
+         entire :class:`_query.Query` object is built from scratch each
+         time, with all creational functions being called on each
+         invocation.
+
+        """
+        if not full and not self._spoiled:
+            _spoil_point = self._clone()
+            _spoil_point._cache_key += ("_query_only",)
+            self.steps = [_spoil_point._retrieve_baked_query]
+        self._spoiled = True
+        return self
+
+    def _effective_key(self, session):
+        """Return the key that actually goes into the cache dictionary for
+        this :class:`.BakedQuery`, taking into account the given
+        :class:`.Session`.
+
+        This basically means we also will include the session's query_class,
+        as the actual :class:`_query.Query` object is part of what's cached
+        and needs to match the type of :class:`_query.Query` that a later
+        session will want to use.
+
+        """
+        return self._cache_key + (session._query_cls,)
+
+    def _with_lazyload_options(self, options, effective_path, cache_path=None):
+        """Cloning version of _add_lazyload_options."""
+        q = self._clone()
+        q._add_lazyload_options(options, effective_path, cache_path=cache_path)
+        return q
+
+    def _add_lazyload_options(self, options, effective_path, cache_path=None):
+        """Used by per-state lazy loaders to add options to the
+        "lazy load" query from a parent query.
+
+        Creates a cache key based on given load path and query options;
+        if a repeatable cache key cannot be generated, the query is
+        "spoiled" so that it won't use caching.
+
+        """
+
+        key = ()
+
+        if not cache_path:
+            cache_path = effective_path
+
+        for opt in options:
+            if opt._is_legacy_option or opt._is_compile_state:
+                ck = opt._generate_cache_key()
+                if ck is None:
+                    self.spoil(full=True)
+                else:
+                    assert not ck[1], (
+                        "loader options with variable bound parameters "
+                        "not supported with baked queries.  Please "
+                        "use new-style select() statements for cached "
+                        "ORM queries."
+                    )
+                    key += ck[0]
+
+        self.add_criteria(
+            lambda q: q._with_current_path(effective_path).options(*options),
+            cache_path.path,
+            key,
+        )
+
+    def _retrieve_baked_query(self, session):
+        query = self._bakery.get(self._effective_key(session), None)
+        if query is None:
+            query = self._as_query(session)
+            self._bakery[self._effective_key(session)] = query.with_session(
+                None
+            )
+        return query.with_session(session)
+
+    def _bake(self, session):
+        query = self._as_query(session)
+        query.session = None
+
+        # in 1.4, this is where before_compile() event is
+        # invoked
+        statement = query._statement_20()
+
+        # if the query is not safe to cache, we still do everything as though
+        # we did cache it, since the receiver of _bake() assumes subqueryload
+        # context was set up, etc.
+        #
+        # note also we want to cache the statement itself because this
+        # allows the statement itself to hold onto its cache key that is
+        # used by the Connection, which in itself is more expensive to
+        # generate than what BakedQuery was able to provide in 1.3 and prior
+
+        if statement._compile_options._bake_ok:
+            self._bakery[self._effective_key(session)] = (
+                query,
+                statement,
+            )
+
+        return query, statement
+
+    def to_query(self, query_or_session):
+        """Return the :class:`_query.Query` object for use as a subquery.
+
+        This method should be used within the lambda callable being used
+        to generate a step of an enclosing :class:`.BakedQuery`.   The
+        parameter should normally be the :class:`_query.Query` object that
+        is passed to the lambda::
+
+            sub_bq = self.bakery(lambda s: s.query(User.name))
+            sub_bq += lambda q: q.filter(
+                User.id == Address.user_id).correlate(Address)
+
+            main_bq = self.bakery(lambda s: s.query(Address))
+            main_bq += lambda q: q.filter(
+                sub_bq.to_query(q).exists())
+
+        In the case where the subquery is used in the first callable against
+        a :class:`.Session`, the :class:`.Session` is also accepted::
+
+            sub_bq = self.bakery(lambda s: s.query(User.name))
+            sub_bq += lambda q: q.filter(
+                User.id == Address.user_id).correlate(Address)
+
+            main_bq = self.bakery(
+                lambda s: s.query(
+                Address.id, sub_bq.to_query(q).scalar_subquery())
+            )
+
+        :param query_or_session: a :class:`_query.Query` object or a class
+         :class:`.Session` object, that is assumed to be within the context
+         of an enclosing :class:`.BakedQuery` callable.
+
+
+         .. versionadded:: 1.3
+
+
+        """
+
+        if isinstance(query_or_session, Session):
+            session = query_or_session
+        elif isinstance(query_or_session, Query):
+            session = query_or_session.session
+            if session is None:
+                raise sa_exc.ArgumentError(
+                    "Given Query needs to be associated with a Session"
+                )
+        else:
+            raise TypeError(
+                "Query or Session object expected, got %r."
+                % type(query_or_session)
+            )
+        return self._as_query(session)
+
+    def _as_query(self, session):
+        query = self.steps[0](session)
+
+        for step in self.steps[1:]:
+            query = step(query)
+
+        return query
+
+
+class Result:
+    """Invokes a :class:`.BakedQuery` against a :class:`.Session`.
+
+    The :class:`_baked.Result` object is where the actual :class:`.query.Query`
+    object gets created, or retrieved from the cache,
+    against a target :class:`.Session`, and is then invoked for results.
+
+    """
+
+    __slots__ = "bq", "session", "_params", "_post_criteria"
+
+    def __init__(self, bq, session):
+        self.bq = bq
+        self.session = session
+        self._params = {}
+        self._post_criteria = []
+
+    def params(self, *args, **kw):
+        """Specify parameters to be replaced into the string SQL statement."""
+
+        if len(args) == 1:
+            kw.update(args[0])
+        elif len(args) > 0:
+            raise sa_exc.ArgumentError(
+                "params() takes zero or one positional argument, "
+                "which is a dictionary."
+            )
+        self._params.update(kw)
+        return self
+
+    def _using_post_criteria(self, fns):
+        if fns:
+            self._post_criteria.extend(fns)
+        return self
+
+    def with_post_criteria(self, fn):
+        """Add a criteria function that will be applied post-cache.
+
+        This adds a function that will be run against the
+        :class:`_query.Query` object after it is retrieved from the
+        cache.    This currently includes **only** the
+        :meth:`_query.Query.params` and :meth:`_query.Query.execution_options`
+        methods.
+
+        .. warning::  :meth:`_baked.Result.with_post_criteria`
+           functions are applied
+           to the :class:`_query.Query`
+           object **after** the query's SQL statement
+           object has been retrieved from the cache.   Only
+           :meth:`_query.Query.params` and
+           :meth:`_query.Query.execution_options`
+           methods should be used.
+
+
+        .. versionadded:: 1.2
+
+
+        """
+        return self._using_post_criteria([fn])
+
+    def _as_query(self):
+        q = self.bq._as_query(self.session).params(self._params)
+        for fn in self._post_criteria:
+            q = fn(q)
+        return q
+
+    def __str__(self):
+        return str(self._as_query())
+
+    def __iter__(self):
+        return self._iter().__iter__()
+
+    def _iter(self):
+        bq = self.bq
+
+        if not self.session.enable_baked_queries or bq._spoiled:
+            return self._as_query()._iter()
+
+        query, statement = bq._bakery.get(
+            bq._effective_key(self.session), (None, None)
+        )
+        if query is None:
+            query, statement = bq._bake(self.session)
+
+        if self._params:
+            q = query.params(self._params)
+        else:
+            q = query
+        for fn in self._post_criteria:
+            q = fn(q)
+
+        params = q._params
+        execution_options = dict(q._execution_options)
+        execution_options.update(
+            {
+                "_sa_orm_load_options": q.load_options,
+                "compiled_cache": bq._bakery,
+            }
+        )
+
+        result = self.session.execute(
+            statement, params, execution_options=execution_options
+        )
+        if result._attributes.get("is_single_entity", False):
+            result = result.scalars()
+
+        if result._attributes.get("filtered", False):
+            result = result.unique()
+
+        return result
+
+    def count(self):
+        """return the 'count'.
+
+        Equivalent to :meth:`_query.Query.count`.
+
+        Note this uses a subquery to ensure an accurate count regardless
+        of the structure of the original statement.
+
+        """
+
+        col = func.count(literal_column("*"))
+        bq = self.bq.with_criteria(lambda q: q._legacy_from_self(col))
+        return bq.for_session(self.session).params(self._params).scalar()
+
+    def scalar(self):
+        """Return the first element of the first result or None
+        if no rows present.  If multiple rows are returned,
+        raises MultipleResultsFound.
+
+        Equivalent to :meth:`_query.Query.scalar`.
+
+        """
+        try:
+            ret = self.one()
+            if not isinstance(ret, collections_abc.Sequence):
+                return ret
+            return ret[0]
+        except orm_exc.NoResultFound:
+            return None
+
+    def first(self):
+        """Return the first row.
+
+        Equivalent to :meth:`_query.Query.first`.
+
+        """
+
+        bq = self.bq.with_criteria(lambda q: q.slice(0, 1))
+        return (
+            bq.for_session(self.session)
+            .params(self._params)
+            ._using_post_criteria(self._post_criteria)
+            ._iter()
+            .first()
+        )
+
+    def one(self):
+        """Return exactly one result or raise an exception.
+
+        Equivalent to :meth:`_query.Query.one`.
+
+        """
+        return self._iter().one()
+
+    def one_or_none(self):
+        """Return one or zero results, or raise an exception for multiple
+        rows.
+
+        Equivalent to :meth:`_query.Query.one_or_none`.
+
+        """
+        return self._iter().one_or_none()
+
+    def all(self):
+        """Return all rows.
+
+        Equivalent to :meth:`_query.Query.all`.
+
+        """
+        return self._iter().all()
+
+    def get(self, ident):
+        """Retrieve an object based on identity.
+
+        Equivalent to :meth:`_query.Query.get`.
+
+        """
+
+        query = self.bq.steps[0](self.session)
+        return query._get_impl(ident, self._load_on_pk_identity)
+
+    def _load_on_pk_identity(self, session, query, primary_key_identity, **kw):
+        """Load the given primary key identity from the database."""
+
+        mapper = query._raw_columns[0]._annotations["parententity"]
+
+        _get_clause, _get_params = mapper._get_clause
+
+        def setup(query):
+            _lcl_get_clause = _get_clause
+            q = query._clone()
+            q._get_condition()
+            q._order_by = None
+
+            # None present in ident - turn those comparisons
+            # into "IS NULL"
+            if None in primary_key_identity:
+                nones = {
+                    _get_params[col].key
+                    for col, value in zip(
+                        mapper.primary_key, primary_key_identity
+                    )
+                    if value is None
+                }
+                _lcl_get_clause = sql_util.adapt_criterion_to_null(
+                    _lcl_get_clause, nones
+                )
+
+            # TODO: can mapper._get_clause be pre-adapted?
+            q._where_criteria = (
+                sql_util._deep_annotate(_lcl_get_clause, {"_orm_adapt": True}),
+            )
+
+            for fn in self._post_criteria:
+                q = fn(q)
+            return q
+
+        # cache the query against a key that includes
+        # which positions in the primary key are NULL
+        # (remember, we can map to an OUTER JOIN)
+        bq = self.bq
+
+        # add the clause we got from mapper._get_clause to the cache
+        # key so that if a race causes multiple calls to _get_clause,
+        # we've cached on ours
+        bq = bq._clone()
+        bq._cache_key += (_get_clause,)
+
+        bq = bq.with_criteria(
+            setup, tuple(elem is None for elem in primary_key_identity)
+        )
+
+        params = {
+            _get_params[primary_key].key: id_val
+            for id_val, primary_key in zip(
+                primary_key_identity, mapper.primary_key
+            )
+        }
+
+        result = list(bq.for_session(self.session).params(**params))
+        l = len(result)
+        if l > 1:
+            raise orm_exc.MultipleResultsFound()
+        elif l:
+            return result[0]
+        else:
+            return None
+
+
+bakery = BakedQuery.bakery

elitebot/lib/python3.11/site-packages/sqlalchemy/ext/compiler.py

@@ -0,0 +1,555 @@
+# ext/compiler.py
+# Copyright (C) 2005-2024 the SQLAlchemy authors and contributors
+# <see AUTHORS file>
+#
+# This module is part of SQLAlchemy and is released under
+# the MIT License: https://www.opensource.org/licenses/mit-license.php
+# mypy: ignore-errors
+
+r"""Provides an API for creation of custom ClauseElements and compilers.
+
+Synopsis
+========
+
+Usage involves the creation of one or more
+:class:`~sqlalchemy.sql.expression.ClauseElement` subclasses and one or
+more callables defining its compilation::
+
+    from sqlalchemy.ext.compiler import compiles
+    from sqlalchemy.sql.expression import ColumnClause
+
+    class MyColumn(ColumnClause):
+        inherit_cache = True
+
+    @compiles(MyColumn)
+    def compile_mycolumn(element, compiler, **kw):
+        return "[%s]" % element.name
+
+Above, ``MyColumn`` extends :class:`~sqlalchemy.sql.expression.ColumnClause`,
+the base expression element for named column objects. The ``compiles``
+decorator registers itself with the ``MyColumn`` class so that it is invoked
+when the object is compiled to a string::
+
+    from sqlalchemy import select
+
+    s = select(MyColumn('x'), MyColumn('y'))
+    print(str(s))
+
+Produces::
+
+    SELECT [x], [y]
+
+Dialect-specific compilation rules
+==================================
+
+Compilers can also be made dialect-specific. The appropriate compiler will be
+invoked for the dialect in use::
+
+    from sqlalchemy.schema import DDLElement
+
+    class AlterColumn(DDLElement):
+        inherit_cache = False
+
+        def __init__(self, column, cmd):
+            self.column = column
+            self.cmd = cmd
+
+    @compiles(AlterColumn)
+    def visit_alter_column(element, compiler, **kw):
+        return "ALTER COLUMN %s ..." % element.column.name
+
+    @compiles(AlterColumn, 'postgresql')
+    def visit_alter_column(element, compiler, **kw):
+        return "ALTER TABLE %s ALTER COLUMN %s ..." % (element.table.name,
+                                                       element.column.name)
+
+The second ``visit_alter_table`` will be invoked when any ``postgresql``
+dialect is used.
+
+.. _compilerext_compiling_subelements:
+
+Compiling sub-elements of a custom expression construct
+=======================================================
+
+The ``compiler`` argument is the
+:class:`~sqlalchemy.engine.interfaces.Compiled` object in use. This object
+can be inspected for any information about the in-progress compilation,
+including ``compiler.dialect``, ``compiler.statement`` etc. The
+:class:`~sqlalchemy.sql.compiler.SQLCompiler` and
+:class:`~sqlalchemy.sql.compiler.DDLCompiler` both include a ``process()``
+method which can be used for compilation of embedded attributes::
+
+    from sqlalchemy.sql.expression import Executable, ClauseElement
+
+    class InsertFromSelect(Executable, ClauseElement):
+        inherit_cache = False
+
+        def __init__(self, table, select):
+            self.table = table
+            self.select = select
+
+    @compiles(InsertFromSelect)
+    def visit_insert_from_select(element, compiler, **kw):
+        return "INSERT INTO %s (%s)" % (
+            compiler.process(element.table, asfrom=True, **kw),
+            compiler.process(element.select, **kw)
+        )
+
+    insert = InsertFromSelect(t1, select(t1).where(t1.c.x>5))
+    print(insert)
+
+Produces::
+
+    "INSERT INTO mytable (SELECT mytable.x, mytable.y, mytable.z
+                          FROM mytable WHERE mytable.x > :x_1)"
+
+.. note::
+
+    The above ``InsertFromSelect`` construct is only an example, this actual
+    functionality is already available using the
+    :meth:`_expression.Insert.from_select` method.
+
+
+Cross Compiling between SQL and DDL compilers
+---------------------------------------------
+
+SQL and DDL constructs are each compiled using different base compilers -
+``SQLCompiler`` and ``DDLCompiler``.   A common need is to access the
+compilation rules of SQL expressions from within a DDL expression. The
+``DDLCompiler`` includes an accessor ``sql_compiler`` for this reason, such as
+below where we generate a CHECK constraint that embeds a SQL expression::
+
+    @compiles(MyConstraint)
+    def compile_my_constraint(constraint, ddlcompiler, **kw):
+        kw['literal_binds'] = True
+        return "CONSTRAINT %s CHECK (%s)" % (
+            constraint.name,
+            ddlcompiler.sql_compiler.process(
+                constraint.expression, **kw)
+        )
+
+Above, we add an additional flag to the process step as called by
+:meth:`.SQLCompiler.process`, which is the ``literal_binds`` flag.  This
+indicates that any SQL expression which refers to a :class:`.BindParameter`
+object or other "literal" object such as those which refer to strings or
+integers should be rendered **in-place**, rather than being referred to as
+a bound parameter;  when emitting DDL, bound parameters are typically not
+supported.
+
+
+Changing the default compilation of existing constructs
+=======================================================
+
+The compiler extension applies just as well to the existing constructs.  When
+overriding the compilation of a built in SQL construct, the @compiles
+decorator is invoked upon the appropriate class (be sure to use the class,
+i.e. ``Insert`` or ``Select``, instead of the creation function such
+as ``insert()`` or ``select()``).
+
+Within the new compilation function, to get at the "original" compilation
+routine, use the appropriate visit_XXX method - this
+because compiler.process() will call upon the overriding routine and cause
+an endless loop.   Such as, to add "prefix" to all insert statements::
+
+    from sqlalchemy.sql.expression import Insert
+
+    @compiles(Insert)
+    def prefix_inserts(insert, compiler, **kw):
+        return compiler.visit_insert(insert.prefix_with("some prefix"), **kw)
+
+The above compiler will prefix all INSERT statements with "some prefix" when
+compiled.
+
+.. _type_compilation_extension:
+
+Changing Compilation of Types
+=============================
+
+``compiler`` works for types, too, such as below where we implement the
+MS-SQL specific 'max' keyword for ``String``/``VARCHAR``::
+
+    @compiles(String, 'mssql')
+    @compiles(VARCHAR, 'mssql')
+    def compile_varchar(element, compiler, **kw):
+        if element.length == 'max':
+            return "VARCHAR('max')"
+        else:
+            return compiler.visit_VARCHAR(element, **kw)
+
+    foo = Table('foo', metadata,
+        Column('data', VARCHAR('max'))
+    )
+
+Subclassing Guidelines
+======================
+
+A big part of using the compiler extension is subclassing SQLAlchemy
+expression constructs. To make this easier, the expression and
+schema packages feature a set of "bases" intended for common tasks.
+A synopsis is as follows:
+
+* :class:`~sqlalchemy.sql.expression.ClauseElement` - This is the root
+  expression class. Any SQL expression can be derived from this base, and is
+  probably the best choice for longer constructs such as specialized INSERT
+  statements.
+
+* :class:`~sqlalchemy.sql.expression.ColumnElement` - The root of all
+  "column-like" elements. Anything that you'd place in the "columns" clause of
+  a SELECT statement (as well as order by and group by) can derive from this -
+  the object will automatically have Python "comparison" behavior.
+
+  :class:`~sqlalchemy.sql.expression.ColumnElement` classes want to have a
+  ``type`` member which is expression's return type.  This can be established
+  at the instance level in the constructor, or at the class level if its
+  generally constant::
+
+      class timestamp(ColumnElement):
+          type = TIMESTAMP()
+          inherit_cache = True
+
+* :class:`~sqlalchemy.sql.functions.FunctionElement` - This is a hybrid of a
+  ``ColumnElement`` and a "from clause" like object, and represents a SQL
+  function or stored procedure type of call. Since most databases support
+  statements along the line of "SELECT FROM <some function>"
+  ``FunctionElement`` adds in the ability to be used in the FROM clause of a
+  ``select()`` construct::
+
+      from sqlalchemy.sql.expression import FunctionElement
+
+      class coalesce(FunctionElement):
+          name = 'coalesce'
+          inherit_cache = True
+
+      @compiles(coalesce)
+      def compile(element, compiler, **kw):
+          return "coalesce(%s)" % compiler.process(element.clauses, **kw)
+
+      @compiles(coalesce, 'oracle')
+      def compile(element, compiler, **kw):
+          if len(element.clauses) > 2:
+              raise TypeError("coalesce only supports two arguments on Oracle")
+          return "nvl(%s)" % compiler.process(element.clauses, **kw)
+
+* :class:`.ExecutableDDLElement` - The root of all DDL expressions,
+  like CREATE TABLE, ALTER TABLE, etc. Compilation of
+  :class:`.ExecutableDDLElement` subclasses is issued by a
+  :class:`.DDLCompiler` instead of a :class:`.SQLCompiler`.
+  :class:`.ExecutableDDLElement` can also be used as an event hook in
+  conjunction with event hooks like :meth:`.DDLEvents.before_create` and
+  :meth:`.DDLEvents.after_create`, allowing the construct to be invoked
+  automatically during CREATE TABLE and DROP TABLE sequences.
+
+  .. seealso::
+
+    :ref:`metadata_ddl_toplevel` - contains examples of associating
+    :class:`.DDL` objects (which are themselves :class:`.ExecutableDDLElement`
+    instances) with :class:`.DDLEvents` event hooks.
+
+* :class:`~sqlalchemy.sql.expression.Executable` - This is a mixin which
+  should be used with any expression class that represents a "standalone"
+  SQL statement that can be passed directly to an ``execute()`` method.  It
+  is already implicit within ``DDLElement`` and ``FunctionElement``.
+
+Most of the above constructs also respond to SQL statement caching.   A
+subclassed construct will want to define the caching behavior for the object,
+which usually means setting the flag ``inherit_cache`` to the value of
+``False`` or ``True``.  See the next section :ref:`compilerext_caching`
+for background.
+
+
+.. _compilerext_caching:
+
+Enabling Caching Support for Custom Constructs
+==============================================
+
+SQLAlchemy as of version 1.4 includes a
+:ref:`SQL compilation caching facility <sql_caching>` which will allow
+equivalent SQL constructs to cache their stringified form, along with other
+structural information used to fetch results from the statement.
+
+For reasons discussed at :ref:`caching_caveats`, the implementation of this
+caching system takes a conservative approach towards including custom SQL
+constructs and/or subclasses within the caching system.   This includes that
+any user-defined SQL constructs, including all the examples for this
+extension, will not participate in caching by default unless they positively
+assert that they are able to do so.  The :attr:`.HasCacheKey.inherit_cache`
+attribute when set to ``True`` at the class level of a specific subclass
+will indicate that instances of this class may be safely cached, using the
+cache key generation scheme of the immediate superclass.  This applies
+for example to the "synopsis" example indicated previously::
+
+    class MyColumn(ColumnClause):
+        inherit_cache = True
+
+    @compiles(MyColumn)
+    def compile_mycolumn(element, compiler, **kw):
+        return "[%s]" % element.name
+
+Above, the ``MyColumn`` class does not include any new state that
+affects its SQL compilation; the cache key of ``MyColumn`` instances will
+make use of that of the ``ColumnClause`` superclass, meaning it will take
+into account the class of the object (``MyColumn``), the string name and
+datatype of the object::
+
+    >>> MyColumn("some_name", String())._generate_cache_key()
+    CacheKey(
+        key=('0', <class '__main__.MyColumn'>,
+        'name', 'some_name',
+        'type', (<class 'sqlalchemy.sql.sqltypes.String'>,
+                 ('length', None), ('collation', None))
+    ), bindparams=[])
+
+For objects that are likely to be **used liberally as components within many
+larger statements**, such as :class:`_schema.Column` subclasses and custom SQL
+datatypes, it's important that **caching be enabled as much as possible**, as
+this may otherwise negatively affect performance.
+
+An example of an object that **does** contain state which affects its SQL
+compilation is the one illustrated at :ref:`compilerext_compiling_subelements`;
+this is an "INSERT FROM SELECT" construct that combines together a
+:class:`_schema.Table` as well as a :class:`_sql.Select` construct, each of
+which independently affect the SQL string generation of the construct.  For
+this class, the example illustrates that it simply does not participate in
+caching::
+
+    class InsertFromSelect(Executable, ClauseElement):
+        inherit_cache = False
+
+        def __init__(self, table, select):
+            self.table = table
+            self.select = select
+
+    @compiles(InsertFromSelect)
+    def visit_insert_from_select(element, compiler, **kw):
+        return "INSERT INTO %s (%s)" % (
+            compiler.process(element.table, asfrom=True, **kw),
+            compiler.process(element.select, **kw)
+        )
+
+While it is also possible that the above ``InsertFromSelect`` could be made to
+produce a cache key that is composed of that of the :class:`_schema.Table` and
+:class:`_sql.Select` components together, the API for this is not at the moment
+fully public. However, for an "INSERT FROM SELECT" construct, which is only
+used by itself for specific operations, caching is not as critical as in the
+previous example.
+
+For objects that are **used in relative isolation and are generally
+standalone**, such as custom :term:`DML` constructs like an "INSERT FROM
+SELECT", **caching is generally less critical** as the lack of caching for such
+a construct will have only localized implications for that specific operation.
+
+
+Further Examples
+================
+
+"UTC timestamp" function
+-------------------------
+
+A function that works like "CURRENT_TIMESTAMP" except applies the
+appropriate conversions so that the time is in UTC time.   Timestamps are best
+stored in relational databases as UTC, without time zones.   UTC so that your
+database doesn't think time has gone backwards in the hour when daylight
+savings ends, without timezones because timezones are like character
+encodings - they're best applied only at the endpoints of an application
+(i.e. convert to UTC upon user input, re-apply desired timezone upon display).
+
+For PostgreSQL and Microsoft SQL Server::
+
+    from sqlalchemy.sql import expression
+    from sqlalchemy.ext.compiler import compiles
+    from sqlalchemy.types import DateTime
+
+    class utcnow(expression.FunctionElement):
+        type = DateTime()
+        inherit_cache = True
+
+    @compiles(utcnow, 'postgresql')
+    def pg_utcnow(element, compiler, **kw):
+        return "TIMEZONE('utc', CURRENT_TIMESTAMP)"
+
+    @compiles(utcnow, 'mssql')
+    def ms_utcnow(element, compiler, **kw):
+        return "GETUTCDATE()"
+
+Example usage::
+
+    from sqlalchemy import (
+                Table, Column, Integer, String, DateTime, MetaData
+            )
+    metadata = MetaData()
+    event = Table("event", metadata,
+        Column("id", Integer, primary_key=True),
+        Column("description", String(50), nullable=False),
+        Column("timestamp", DateTime, server_default=utcnow())
+    )
+
+"GREATEST" function
+-------------------
+
+The "GREATEST" function is given any number of arguments and returns the one
+that is of the highest value - its equivalent to Python's ``max``
+function.  A SQL standard version versus a CASE based version which only
+accommodates two arguments::
+
+    from sqlalchemy.sql import expression, case
+    from sqlalchemy.ext.compiler import compiles
+    from sqlalchemy.types import Numeric
+
+    class greatest(expression.FunctionElement):
+        type = Numeric()
+        name = 'greatest'
+        inherit_cache = True
+
+    @compiles(greatest)
+    def default_greatest(element, compiler, **kw):
+        return compiler.visit_function(element)
+
+    @compiles(greatest, 'sqlite')
+    @compiles(greatest, 'mssql')
+    @compiles(greatest, 'oracle')
+    def case_greatest(element, compiler, **kw):
+        arg1, arg2 = list(element.clauses)
+        return compiler.process(case((arg1 > arg2, arg1), else_=arg2), **kw)
+
+Example usage::
+
+    Session.query(Account).\
+            filter(
+                greatest(
+                    Account.checking_balance,
+                    Account.savings_balance) > 10000
+            )
+
+"false" expression
+------------------
+
+Render a "false" constant expression, rendering as "0" on platforms that
+don't have a "false" constant::
+
+    from sqlalchemy.sql import expression
+    from sqlalchemy.ext.compiler import compiles
+
+    class sql_false(expression.ColumnElement):
+        inherit_cache = True
+
+    @compiles(sql_false)
+    def default_false(element, compiler, **kw):
+        return "false"
+
+    @compiles(sql_false, 'mssql')
+    @compiles(sql_false, 'mysql')
+    @compiles(sql_false, 'oracle')
+    def int_false(element, compiler, **kw):
+        return "0"
+
+Example usage::
+
+    from sqlalchemy import select, union_all
+
+    exp = union_all(
+        select(users.c.name, sql_false().label("enrolled")),
+        select(customers.c.name, customers.c.enrolled)
+    )
+
+"""
+from .. import exc
+from ..sql import sqltypes
+
+
+def compiles(class_, *specs):
+    """Register a function as a compiler for a
+    given :class:`_expression.ClauseElement` type."""
+
+    def decorate(fn):
+        # get an existing @compiles handler
+        existing = class_.__dict__.get("_compiler_dispatcher", None)
+
+        # get the original handler.  All ClauseElement classes have one
+        # of these, but some TypeEngine classes will not.
+        existing_dispatch = getattr(class_, "_compiler_dispatch", None)
+
+        if not existing:
+            existing = _dispatcher()
+
+            if existing_dispatch:
+
+                def _wrap_existing_dispatch(element, compiler, **kw):
+                    try:
+                        return existing_dispatch(element, compiler, **kw)
+                    except exc.UnsupportedCompilationError as uce:
+                        raise exc.UnsupportedCompilationError(
+                            compiler,
+                            type(element),
+                            message="%s construct has no default "
+                            "compilation handler." % type(element),
+                        ) from uce
+
+                existing.specs["default"] = _wrap_existing_dispatch
+
+            # TODO: why is the lambda needed ?
+            setattr(
+                class_,
+                "_compiler_dispatch",
+                lambda *arg, **kw: existing(*arg, **kw),
+            )
+            setattr(class_, "_compiler_dispatcher", existing)
+
+        if specs:
+            for s in specs:
+                existing.specs[s] = fn
+
+        else:
+            existing.specs["default"] = fn
+        return fn
+
+    return decorate
+
+
+def deregister(class_):
+    """Remove all custom compilers associated with a given
+    :class:`_expression.ClauseElement` type.
+
+    """
+
+    if hasattr(class_, "_compiler_dispatcher"):
+        class_._compiler_dispatch = class_._original_compiler_dispatch
+        del class_._compiler_dispatcher
+
+
+class _dispatcher:
+    def __init__(self):
+        self.specs = {}
+
+    def __call__(self, element, compiler, **kw):
+        # TODO: yes, this could also switch off of DBAPI in use.
+        fn = self.specs.get(compiler.dialect.name, None)
+        if not fn:
+            try:
+                fn = self.specs["default"]
+            except KeyError as ke:
+                raise exc.UnsupportedCompilationError(
+                    compiler,
+                    type(element),
+                    message="%s construct has no default "
+                    "compilation handler." % type(element),
+                ) from ke
+
+        # if compilation includes add_to_result_map, collect add_to_result_map
+        # arguments from the user-defined callable, which are probably none
+        # because this is not public API.  if it wasn't called, then call it
+        # ourselves.
+        arm = kw.get("add_to_result_map", None)
+        if arm:
+            arm_collection = []
+            kw["add_to_result_map"] = lambda *args: arm_collection.append(args)
+
+        expr = fn(element, compiler, **kw)
+
+        if arm:
+            if not arm_collection:
+                arm_collection.append(
+                    (None, None, (element,), sqltypes.NULLTYPE)
+                )
+            for tup in arm_collection:
+                arm(*tup)
+        return expr

elitebot/lib/python3.11/site-packages/sqlalchemy/ext/declarative/__init__.py

@@ -0,0 +1,65 @@
+# ext/declarative/__init__.py
+# Copyright (C) 2005-2024 the SQLAlchemy authors and contributors
+# <see AUTHORS file>
+#
+# This module is part of SQLAlchemy and is released under
+# the MIT License: https://www.opensource.org/licenses/mit-license.php
+# mypy: ignore-errors
+
+
+from .extensions import AbstractConcreteBase
+from .extensions import ConcreteBase
+from .extensions import DeferredReflection
+from ... import util
+from ...orm.decl_api import as_declarative as _as_declarative
+from ...orm.decl_api import declarative_base as _declarative_base
+from ...orm.decl_api import DeclarativeMeta
+from ...orm.decl_api import declared_attr
+from ...orm.decl_api import has_inherited_table as _has_inherited_table
+from ...orm.decl_api import synonym_for as _synonym_for
+
+
+@util.moved_20(
+    "The ``declarative_base()`` function is now available as "
+    ":func:`sqlalchemy.orm.declarative_base`."
+)
+def declarative_base(*arg, **kw):
+    return _declarative_base(*arg, **kw)
+
+
+@util.moved_20(
+    "The ``as_declarative()`` function is now available as "
+    ":func:`sqlalchemy.orm.as_declarative`"
+)
+def as_declarative(*arg, **kw):
+    return _as_declarative(*arg, **kw)
+
+
+@util.moved_20(
+    "The ``has_inherited_table()`` function is now available as "
+    ":func:`sqlalchemy.orm.has_inherited_table`."
+)
+def has_inherited_table(*arg, **kw):
+    return _has_inherited_table(*arg, **kw)
+
+
+@util.moved_20(
+    "The ``synonym_for()`` function is now available as "
+    ":func:`sqlalchemy.orm.synonym_for`"
+)
+def synonym_for(*arg, **kw):
+    return _synonym_for(*arg, **kw)
+
+
+__all__ = [
+    "declarative_base",
+    "synonym_for",
+    "has_inherited_table",
+    "instrument_declarative",
+    "declared_attr",
+    "as_declarative",
+    "ConcreteBase",
+    "AbstractConcreteBase",
+    "DeclarativeMeta",
+    "DeferredReflection",
+]

elitebot/lib/python3.11/site-packages/sqlalchemy/ext/declarative/extensions.py

@@ -0,0 +1,548 @@
+# ext/declarative/extensions.py
+# Copyright (C) 2005-2024 the SQLAlchemy authors and contributors
+# <see AUTHORS file>
+#
+# This module is part of SQLAlchemy and is released under
+# the MIT License: https://www.opensource.org/licenses/mit-license.php
+# mypy: ignore-errors
+
+
+"""Public API functions and helpers for declarative."""
+from __future__ import annotations
+
+import collections
+import contextlib
+from typing import Any
+from typing import Callable
+from typing import TYPE_CHECKING
+from typing import Union
+
+from ... import exc as sa_exc
+from ...engine import Connection
+from ...engine import Engine
+from ...orm import exc as orm_exc
+from ...orm import relationships
+from ...orm.base import _mapper_or_none
+from ...orm.clsregistry import _resolver
+from ...orm.decl_base import _DeferredMapperConfig
+from ...orm.util import polymorphic_union
+from ...schema import Table
+from ...util import OrderedDict
+
+if TYPE_CHECKING:
+    from ...sql.schema import MetaData
+
+
+class ConcreteBase:
+    """A helper class for 'concrete' declarative mappings.
+
+    :class:`.ConcreteBase` will use the :func:`.polymorphic_union`
+    function automatically, against all tables mapped as a subclass
+    to this class.   The function is called via the
+    ``__declare_last__()`` function, which is essentially
+    a hook for the :meth:`.after_configured` event.
+
+    :class:`.ConcreteBase` produces a mapped
+    table for the class itself.  Compare to :class:`.AbstractConcreteBase`,
+    which does not.
+
+    Example::
+
+        from sqlalchemy.ext.declarative import ConcreteBase
+
+        class Employee(ConcreteBase, Base):
+            __tablename__ = 'employee'
+            employee_id = Column(Integer, primary_key=True)
+            name = Column(String(50))
+            __mapper_args__ = {
+                            'polymorphic_identity':'employee',
+                            'concrete':True}
+
+        class Manager(Employee):
+            __tablename__ = 'manager'
+            employee_id = Column(Integer, primary_key=True)
+            name = Column(String(50))
+            manager_data = Column(String(40))
+            __mapper_args__ = {
+                            'polymorphic_identity':'manager',
+                            'concrete':True}
+
+
+    The name of the discriminator column used by :func:`.polymorphic_union`
+    defaults to the name ``type``.  To suit the use case of a mapping where an
+    actual column in a mapped table is already named ``type``, the
+    discriminator name can be configured by setting the
+    ``_concrete_discriminator_name`` attribute::
+
+        class Employee(ConcreteBase, Base):
+            _concrete_discriminator_name = '_concrete_discriminator'
+
+    .. versionadded:: 1.3.19 Added the ``_concrete_discriminator_name``
+       attribute to :class:`_declarative.ConcreteBase` so that the
+       virtual discriminator column name can be customized.
+
+    .. versionchanged:: 1.4.2 The ``_concrete_discriminator_name`` attribute
+       need only be placed on the basemost class to take correct effect for
+       all subclasses.   An explicit error message is now raised if the
+       mapped column names conflict with the discriminator name, whereas
+       in the 1.3.x series there would be some warnings and then a non-useful
+       query would be generated.
+
+    .. seealso::
+
+        :class:`.AbstractConcreteBase`
+
+        :ref:`concrete_inheritance`
+
+
+    """
+
+    @classmethod
+    def _create_polymorphic_union(cls, mappers, discriminator_name):
+        return polymorphic_union(
+            OrderedDict(
+                (mp.polymorphic_identity, mp.local_table) for mp in mappers
+            ),
+            discriminator_name,
+            "pjoin",
+        )
+
+    @classmethod
+    def __declare_first__(cls):
+        m = cls.__mapper__
+        if m.with_polymorphic:
+            return
+
+        discriminator_name = (
+            getattr(cls, "_concrete_discriminator_name", None) or "type"
+        )
+
+        mappers = list(m.self_and_descendants)
+        pjoin = cls._create_polymorphic_union(mappers, discriminator_name)
+        m._set_with_polymorphic(("*", pjoin))
+        m._set_polymorphic_on(pjoin.c[discriminator_name])
+
+
+class AbstractConcreteBase(ConcreteBase):
+    """A helper class for 'concrete' declarative mappings.
+
+    :class:`.AbstractConcreteBase` will use the :func:`.polymorphic_union`
+    function automatically, against all tables mapped as a subclass
+    to this class.   The function is called via the
+    ``__declare_first__()`` function, which is essentially
+    a hook for the :meth:`.before_configured` event.
+
+    :class:`.AbstractConcreteBase` applies :class:`_orm.Mapper` for its
+    immediately inheriting class, as would occur for any other
+    declarative mapped class. However, the :class:`_orm.Mapper` is not
+    mapped to any particular :class:`.Table` object.  Instead, it's
+    mapped directly to the "polymorphic" selectable produced by
+    :func:`.polymorphic_union`, and performs no persistence operations on its
+    own.  Compare to :class:`.ConcreteBase`, which maps its
+    immediately inheriting class to an actual
+    :class:`.Table` that stores rows directly.
+
+    .. note::
+
+        The :class:`.AbstractConcreteBase` delays the mapper creation of the
+        base class until all the subclasses have been defined,
+        as it needs to create a mapping against a selectable that will include
+        all subclass tables.  In order to achieve this, it waits for the
+        **mapper configuration event** to occur, at which point it scans
+        through all the configured subclasses and sets up a mapping that will
+        query against all subclasses at once.
+
+        While this event is normally invoked automatically, in the case of
+        :class:`.AbstractConcreteBase`, it may be necessary to invoke it
+        explicitly after **all** subclass mappings are defined, if the first
+        operation is to be a query against this base class. To do so, once all
+        the desired classes have been configured, the
+        :meth:`_orm.registry.configure` method on the :class:`_orm.registry`
+        in use can be invoked, which is available in relation to a particular
+        declarative base class::
+
+            Base.registry.configure()
+
+    Example::
+
+        from sqlalchemy.orm import DeclarativeBase
+        from sqlalchemy.ext.declarative import AbstractConcreteBase
+
+        class Base(DeclarativeBase):
+            pass
+
+        class Employee(AbstractConcreteBase, Base):
+            pass
+
+        class Manager(Employee):
+            __tablename__ = 'manager'
+            employee_id = Column(Integer, primary_key=True)
+            name = Column(String(50))
+            manager_data = Column(String(40))
+
+            __mapper_args__ = {
+                'polymorphic_identity':'manager',
+                'concrete':True
+            }
+
+        Base.registry.configure()
+
+    The abstract base class is handled by declarative in a special way;
+    at class configuration time, it behaves like a declarative mixin
+    or an ``__abstract__`` base class.   Once classes are configured
+    and mappings are produced, it then gets mapped itself, but
+    after all of its descendants.  This is a very unique system of mapping
+    not found in any other SQLAlchemy API feature.
+
+    Using this approach, we can specify columns and properties
+    that will take place on mapped subclasses, in the way that
+    we normally do as in :ref:`declarative_mixins`::
+
+        from sqlalchemy.ext.declarative import AbstractConcreteBase
+
+        class Company(Base):
+            __tablename__ = 'company'
+            id = Column(Integer, primary_key=True)
+
+        class Employee(AbstractConcreteBase, Base):
+            strict_attrs = True
+
+            employee_id = Column(Integer, primary_key=True)
+
+            @declared_attr
+            def company_id(cls):
+                return Column(ForeignKey('company.id'))
+
+            @declared_attr
+            def company(cls):
+                return relationship("Company")
+
+        class Manager(Employee):
+            __tablename__ = 'manager'
+
+            name = Column(String(50))
+            manager_data = Column(String(40))
+
+            __mapper_args__ = {
+                'polymorphic_identity':'manager',
+                'concrete':True
+            }
+
+        Base.registry.configure()
+
+    When we make use of our mappings however, both ``Manager`` and
+    ``Employee`` will have an independently usable ``.company`` attribute::
+
+        session.execute(
+            select(Employee).filter(Employee.company.has(id=5))
+        )
+
+    :param strict_attrs: when specified on the base class, "strict" attribute
+     mode is enabled which attempts to limit ORM mapped attributes on the
+     base class to only those that are immediately present, while still
+     preserving "polymorphic" loading behavior.
+
+     .. versionadded:: 2.0
+
+    .. seealso::
+
+        :class:`.ConcreteBase`
+
+        :ref:`concrete_inheritance`
+
+        :ref:`abstract_concrete_base`
+
+    """
+
+    __no_table__ = True
+
+    @classmethod
+    def __declare_first__(cls):
+        cls._sa_decl_prepare_nocascade()
+
+    @classmethod
+    def _sa_decl_prepare_nocascade(cls):
+        if getattr(cls, "__mapper__", None):
+            return
+
+        to_map = _DeferredMapperConfig.config_for_cls(cls)
+
+        # can't rely on 'self_and_descendants' here
+        # since technically an immediate subclass
+        # might not be mapped, but a subclass
+        # may be.
+        mappers = []
+        stack = list(cls.__subclasses__())
+        while stack:
+            klass = stack.pop()
+            stack.extend(klass.__subclasses__())
+            mn = _mapper_or_none(klass)
+            if mn is not None:
+                mappers.append(mn)
+
+        discriminator_name = (
+            getattr(cls, "_concrete_discriminator_name", None) or "type"
+        )
+        pjoin = cls._create_polymorphic_union(mappers, discriminator_name)
+
+        # For columns that were declared on the class, these
+        # are normally ignored with the "__no_table__" mapping,
+        # unless they have a different attribute key vs. col name
+        # and are in the properties argument.
+        # In that case, ensure we update the properties entry
+        # to the correct column from the pjoin target table.
+        declared_cols = set(to_map.declared_columns)
+        declared_col_keys = {c.key for c in declared_cols}
+        for k, v in list(to_map.properties.items()):
+            if v in declared_cols:
+                to_map.properties[k] = pjoin.c[v.key]
+                declared_col_keys.remove(v.key)
+
+        to_map.local_table = pjoin
+
+        strict_attrs = cls.__dict__.get("strict_attrs", False)
+
+        m_args = to_map.mapper_args_fn or dict
+
+        def mapper_args():
+            args = m_args()
+            args["polymorphic_on"] = pjoin.c[discriminator_name]
+            args["polymorphic_abstract"] = True
+            if strict_attrs:
+                args["include_properties"] = (
+                    set(pjoin.primary_key)
+                    | declared_col_keys
+                    | {discriminator_name}
+                )
+                args["with_polymorphic"] = ("*", pjoin)
+            return args
+
+        to_map.mapper_args_fn = mapper_args
+
+        to_map.map()
+
+        stack = [cls]
+        while stack:
+            scls = stack.pop(0)
+            stack.extend(scls.__subclasses__())
+            sm = _mapper_or_none(scls)
+            if sm and sm.concrete and sm.inherits is None:
+                for sup_ in scls.__mro__[1:]:
+                    sup_sm = _mapper_or_none(sup_)
+                    if sup_sm:
+                        sm._set_concrete_base(sup_sm)
+                        break
+
+    @classmethod
+    def _sa_raise_deferred_config(cls):
+        raise orm_exc.UnmappedClassError(
+            cls,
+            msg="Class %s is a subclass of AbstractConcreteBase and "
+            "has a mapping pending until all subclasses are defined. "
+            "Call the sqlalchemy.orm.configure_mappers() function after "
+            "all subclasses have been defined to "
+            "complete the mapping of this class."
+            % orm_exc._safe_cls_name(cls),
+        )
+
+
+class DeferredReflection:
+    """A helper class for construction of mappings based on
+    a deferred reflection step.
+
+    Normally, declarative can be used with reflection by
+    setting a :class:`_schema.Table` object using autoload_with=engine
+    as the ``__table__`` attribute on a declarative class.
+    The caveat is that the :class:`_schema.Table` must be fully
+    reflected, or at the very least have a primary key column,
+    at the point at which a normal declarative mapping is
+    constructed, meaning the :class:`_engine.Engine` must be available
+    at class declaration time.
+
+    The :class:`.DeferredReflection` mixin moves the construction
+    of mappers to be at a later point, after a specific
+    method is called which first reflects all :class:`_schema.Table`
+    objects created so far.   Classes can define it as such::
+
+        from sqlalchemy.ext.declarative import declarative_base
+        from sqlalchemy.ext.declarative import DeferredReflection
+        Base = declarative_base()
+
+        class MyClass(DeferredReflection, Base):
+            __tablename__ = 'mytable'
+
+    Above, ``MyClass`` is not yet mapped.   After a series of
+    classes have been defined in the above fashion, all tables
+    can be reflected and mappings created using
+    :meth:`.prepare`::
+
+        engine = create_engine("someengine://...")
+        DeferredReflection.prepare(engine)
+
+    The :class:`.DeferredReflection` mixin can be applied to individual
+    classes, used as the base for the declarative base itself,
+    or used in a custom abstract class.   Using an abstract base
+    allows that only a subset of classes to be prepared for a
+    particular prepare step, which is necessary for applications
+    that use more than one engine.  For example, if an application
+    has two engines, you might use two bases, and prepare each
+    separately, e.g.::
+
+        class ReflectedOne(DeferredReflection, Base):
+            __abstract__ = True
+
+        class ReflectedTwo(DeferredReflection, Base):
+            __abstract__ = True
+
+        class MyClass(ReflectedOne):
+            __tablename__ = 'mytable'
+
+        class MyOtherClass(ReflectedOne):
+            __tablename__ = 'myothertable'
+
+        class YetAnotherClass(ReflectedTwo):
+            __tablename__ = 'yetanothertable'
+
+        # ... etc.
+
+    Above, the class hierarchies for ``ReflectedOne`` and
+    ``ReflectedTwo`` can be configured separately::
+
+        ReflectedOne.prepare(engine_one)
+        ReflectedTwo.prepare(engine_two)
+
+    .. seealso::
+
+        :ref:`orm_declarative_reflected_deferred_reflection` - in the
+        :ref:`orm_declarative_table_config_toplevel` section.
+
+    """
+
+    @classmethod
+    def prepare(
+        cls, bind: Union[Engine, Connection], **reflect_kw: Any
+    ) -> None:
+        r"""Reflect all :class:`_schema.Table` objects for all current
+        :class:`.DeferredReflection` subclasses
+
+        :param bind: :class:`_engine.Engine` or :class:`_engine.Connection`
+         instance
+
+         ..versionchanged:: 2.0.16 a :class:`_engine.Connection` is also
+         accepted.
+
+        :param \**reflect_kw: additional keyword arguments passed to
+         :meth:`_schema.MetaData.reflect`, such as
+         :paramref:`_schema.MetaData.reflect.views`.
+
+         .. versionadded:: 2.0.16
+
+        """
+
+        to_map = _DeferredMapperConfig.classes_for_base(cls)
+
+        metadata_to_table = collections.defaultdict(set)
+
+        # first collect the primary __table__ for each class into a
+        # collection of metadata/schemaname -> table names
+        for thingy in to_map:
+            if thingy.local_table is not None:
+                metadata_to_table[
+                    (thingy.local_table.metadata, thingy.local_table.schema)
+                ].add(thingy.local_table.name)
+
+        # then reflect all those tables into their metadatas
+
+        if isinstance(bind, Connection):
+            conn = bind
+            ctx = contextlib.nullcontext(enter_result=conn)
+        elif isinstance(bind, Engine):
+            ctx = bind.connect()
+        else:
+            raise sa_exc.ArgumentError(
+                f"Expected Engine or Connection, got {bind!r}"
+            )
+
+        with ctx as conn:
+            for (metadata, schema), table_names in metadata_to_table.items():
+                metadata.reflect(
+                    conn,
+                    only=table_names,
+                    schema=schema,
+                    extend_existing=True,
+                    autoload_replace=False,
+                    **reflect_kw,
+                )
+
+            metadata_to_table.clear()
+
+            # .map() each class, then go through relationships and look
+            # for secondary
+            for thingy in to_map:
+                thingy.map()
+
+                mapper = thingy.cls.__mapper__
+                metadata = mapper.class_.metadata
+
+                for rel in mapper._props.values():
+                    if (
+                        isinstance(rel, relationships.RelationshipProperty)
+                        and rel._init_args.secondary._is_populated()
+                    ):
+                        secondary_arg = rel._init_args.secondary
+
+                        if isinstance(secondary_arg.argument, Table):
+                            secondary_table = secondary_arg.argument
+                            metadata_to_table[
+                                (
+                                    secondary_table.metadata,
+                                    secondary_table.schema,
+                                )
+                            ].add(secondary_table.name)
+                        elif isinstance(secondary_arg.argument, str):
+                            _, resolve_arg = _resolver(rel.parent.class_, rel)
+
+                            resolver = resolve_arg(
+                                secondary_arg.argument, True
+                            )
+                            metadata_to_table[
+                                (metadata, thingy.local_table.schema)
+                            ].add(secondary_arg.argument)
+
+                            resolver._resolvers += (
+                                cls._sa_deferred_table_resolver(metadata),
+                            )
+
+                            secondary_arg.argument = resolver()
+
+            for (metadata, schema), table_names in metadata_to_table.items():
+                metadata.reflect(
+                    conn,
+                    only=table_names,
+                    schema=schema,
+                    extend_existing=True,
+                    autoload_replace=False,
+                )
+
+    @classmethod
+    def _sa_deferred_table_resolver(
+        cls, metadata: MetaData
+    ) -> Callable[[str], Table]:
+        def _resolve(key: str) -> Table:
+            # reflection has already occurred so this Table would have
+            # its contents already
+            return Table(key, metadata)
+
+        return _resolve
+
+    _sa_decl_prepare = True
+
+    @classmethod
+    def _sa_raise_deferred_config(cls):
+        raise orm_exc.UnmappedClassError(
+            cls,
+            msg="Class %s is a subclass of DeferredReflection.  "
+            "Mappings are not produced until the .prepare() "
+            "method is called on the class hierarchy."
+            % orm_exc._safe_cls_name(cls),
+        )

elitebot/lib/python3.11/site-packages/sqlalchemy/ext/horizontal_shard.py

@@ -0,0 +1,481 @@
+# ext/horizontal_shard.py
+# Copyright (C) 2005-2024 the SQLAlchemy authors and contributors
+# <see AUTHORS file>
+#
+# This module is part of SQLAlchemy and is released under
+# the MIT License: https://www.opensource.org/licenses/mit-license.php
+
+"""Horizontal sharding support.
+
+Defines a rudimental 'horizontal sharding' system which allows a Session to
+distribute queries and persistence operations across multiple databases.
+
+For a usage example, see the :ref:`examples_sharding` example included in
+the source distribution.
+
+.. deepalchemy:: The horizontal sharding extension is an advanced feature,
+   involving a complex statement -> database interaction as well as
+   use of semi-public APIs for non-trivial cases.   Simpler approaches to
+   refering to multiple database "shards", most commonly using a distinct
+   :class:`_orm.Session` per "shard", should always be considered first
+   before using this more complex and less-production-tested system.
+
+
+
+"""
+from __future__ import annotations
+
+from typing import Any
+from typing import Callable
+from typing import Dict
+from typing import Iterable
+from typing import Optional
+from typing import Tuple
+from typing import Type
+from typing import TYPE_CHECKING
+from typing import TypeVar
+from typing import Union
+
+from .. import event
+from .. import exc
+from .. import inspect
+from .. import util
+from ..orm import PassiveFlag
+from ..orm._typing import OrmExecuteOptionsParameter
+from ..orm.interfaces import ORMOption
+from ..orm.mapper import Mapper
+from ..orm.query import Query
+from ..orm.session import _BindArguments
+from ..orm.session import _PKIdentityArgument
+from ..orm.session import Session
+from ..util.typing import Protocol
+from ..util.typing import Self
+
+if TYPE_CHECKING:
+    from ..engine.base import Connection
+    from ..engine.base import Engine
+    from ..engine.base import OptionEngine
+    from ..engine.result import IteratorResult
+    from ..engine.result import Result
+    from ..orm import LoaderCallableStatus
+    from ..orm._typing import _O
+    from ..orm.bulk_persistence import BulkUDCompileState
+    from ..orm.context import QueryContext
+    from ..orm.session import _EntityBindKey
+    from ..orm.session import _SessionBind
+    from ..orm.session import ORMExecuteState
+    from ..orm.state import InstanceState
+    from ..sql import Executable
+    from ..sql._typing import _TP
+    from ..sql.elements import ClauseElement
+
+__all__ = ["ShardedSession", "ShardedQuery"]
+
+_T = TypeVar("_T", bound=Any)
+
+
+ShardIdentifier = str
+
+
+class ShardChooser(Protocol):
+    def __call__(
+        self,
+        mapper: Optional[Mapper[_T]],
+        instance: Any,
+        clause: Optional[ClauseElement],
+    ) -> Any: ...
+
+
+class IdentityChooser(Protocol):
+    def __call__(
+        self,
+        mapper: Mapper[_T],
+        primary_key: _PKIdentityArgument,
+        *,
+        lazy_loaded_from: Optional[InstanceState[Any]],
+        execution_options: OrmExecuteOptionsParameter,
+        bind_arguments: _BindArguments,
+        **kw: Any,
+    ) -> Any: ...
+
+
+class ShardedQuery(Query[_T]):
+    """Query class used with :class:`.ShardedSession`.
+
+    .. legacy:: The :class:`.ShardedQuery` is a subclass of the legacy
+       :class:`.Query` class.   The :class:`.ShardedSession` now supports
+       2.0 style execution via the :meth:`.ShardedSession.execute` method.
+
+    """
+
+    def __init__(self, *args: Any, **kwargs: Any) -> None:
+        super().__init__(*args, **kwargs)
+        assert isinstance(self.session, ShardedSession)
+
+        self.identity_chooser = self.session.identity_chooser
+        self.execute_chooser = self.session.execute_chooser
+        self._shard_id = None
+
+    def set_shard(self, shard_id: ShardIdentifier) -> Self:
+        """Return a new query, limited to a single shard ID.
+
+        All subsequent operations with the returned query will
+        be against the single shard regardless of other state.
+
+        The shard_id can be passed for a 2.0 style execution to the
+        bind_arguments dictionary of :meth:`.Session.execute`::
+
+            results = session.execute(
+                stmt,
+                bind_arguments={"shard_id": "my_shard"}
+            )
+
+        """
+        return self.execution_options(_sa_shard_id=shard_id)
+
+
+class ShardedSession(Session):
+    shard_chooser: ShardChooser
+    identity_chooser: IdentityChooser
+    execute_chooser: Callable[[ORMExecuteState], Iterable[Any]]
+
+    def __init__(
+        self,
+        shard_chooser: ShardChooser,
+        identity_chooser: Optional[IdentityChooser] = None,
+        execute_chooser: Optional[
+            Callable[[ORMExecuteState], Iterable[Any]]
+        ] = None,
+        shards: Optional[Dict[str, Any]] = None,
+        query_cls: Type[Query[_T]] = ShardedQuery,
+        *,
+        id_chooser: Optional[
+            Callable[[Query[_T], Iterable[_T]], Iterable[Any]]
+        ] = None,
+        query_chooser: Optional[Callable[[Executable], Iterable[Any]]] = None,
+        **kwargs: Any,
+    ) -> None:
+        """Construct a ShardedSession.
+
+        :param shard_chooser: A callable which, passed a Mapper, a mapped
+          instance, and possibly a SQL clause, returns a shard ID.  This id
+          may be based off of the attributes present within the object, or on
+          some round-robin scheme. If the scheme is based on a selection, it
+          should set whatever state on the instance to mark it in the future as
+          participating in that shard.
+
+        :param identity_chooser: A callable, passed a Mapper and primary key
+         argument, which should return a list of shard ids where this
+         primary key might reside.
+
+          .. versionchanged:: 2.0  The ``identity_chooser`` parameter
+             supersedes the ``id_chooser`` parameter.
+
+        :param execute_chooser: For a given :class:`.ORMExecuteState`,
+          returns the list of shard_ids
+          where the query should be issued.  Results from all shards returned
+          will be combined together into a single listing.
+
+          .. versionchanged:: 1.4  The ``execute_chooser`` parameter
+             supersedes the ``query_chooser`` parameter.
+
+        :param shards: A dictionary of string shard names
+          to :class:`~sqlalchemy.engine.Engine` objects.
+
+        """
+        super().__init__(query_cls=query_cls, **kwargs)
+
+        event.listen(
+            self, "do_orm_execute", execute_and_instances, retval=True
+        )
+        self.shard_chooser = shard_chooser
+
+        if id_chooser:
+            _id_chooser = id_chooser
+            util.warn_deprecated(
+                "The ``id_chooser`` parameter is deprecated; "
+                "please use ``identity_chooser``.",
+                "2.0",
+            )
+
+            def _legacy_identity_chooser(
+                mapper: Mapper[_T],
+                primary_key: _PKIdentityArgument,
+                *,
+                lazy_loaded_from: Optional[InstanceState[Any]],
+                execution_options: OrmExecuteOptionsParameter,
+                bind_arguments: _BindArguments,
+                **kw: Any,
+            ) -> Any:
+                q = self.query(mapper)
+                if lazy_loaded_from:
+                    q = q._set_lazyload_from(lazy_loaded_from)
+                return _id_chooser(q, primary_key)
+
+            self.identity_chooser = _legacy_identity_chooser
+        elif identity_chooser:
+            self.identity_chooser = identity_chooser
+        else:
+            raise exc.ArgumentError(
+                "identity_chooser or id_chooser is required"
+            )
+
+        if query_chooser:
+            _query_chooser = query_chooser
+            util.warn_deprecated(
+                "The ``query_chooser`` parameter is deprecated; "
+                "please use ``execute_chooser``.",
+                "1.4",
+            )
+            if execute_chooser:
+                raise exc.ArgumentError(
+                    "Can't pass query_chooser and execute_chooser "
+                    "at the same time."
+                )
+
+            def _default_execute_chooser(
+                orm_context: ORMExecuteState,
+            ) -> Iterable[Any]:
+                return _query_chooser(orm_context.statement)
+
+            if execute_chooser is None:
+                execute_chooser = _default_execute_chooser
+
+        if execute_chooser is None:
+            raise exc.ArgumentError(
+                "execute_chooser or query_chooser is required"
+            )
+        self.execute_chooser = execute_chooser
+        self.__shards: Dict[ShardIdentifier, _SessionBind] = {}
+        if shards is not None:
+            for k in shards:
+                self.bind_shard(k, shards[k])
+
+    def _identity_lookup(
+        self,
+        mapper: Mapper[_O],
+        primary_key_identity: Union[Any, Tuple[Any, ...]],
+        identity_token: Optional[Any] = None,
+        passive: PassiveFlag = PassiveFlag.PASSIVE_OFF,
+        lazy_loaded_from: Optional[InstanceState[Any]] = None,
+        execution_options: OrmExecuteOptionsParameter = util.EMPTY_DICT,
+        bind_arguments: Optional[_BindArguments] = None,
+        **kw: Any,
+    ) -> Union[Optional[_O], LoaderCallableStatus]:
+        """override the default :meth:`.Session._identity_lookup` method so
+        that we search for a given non-token primary key identity across all
+        possible identity tokens (e.g. shard ids).
+
+        .. versionchanged:: 1.4  Moved :meth:`.Session._identity_lookup` from
+           the :class:`_query.Query` object to the :class:`.Session`.
+
+        """
+
+        if identity_token is not None:
+            obj = super()._identity_lookup(
+                mapper,
+                primary_key_identity,
+                identity_token=identity_token,
+                **kw,
+            )
+
+            return obj
+        else:
+            for shard_id in self.identity_chooser(
+                mapper,
+                primary_key_identity,
+                lazy_loaded_from=lazy_loaded_from,
+                execution_options=execution_options,
+                bind_arguments=dict(bind_arguments) if bind_arguments else {},
+            ):
+                obj2 = super()._identity_lookup(
+                    mapper,
+                    primary_key_identity,
+                    identity_token=shard_id,
+                    lazy_loaded_from=lazy_loaded_from,
+                    **kw,
+                )
+                if obj2 is not None:
+                    return obj2
+
+            return None
+
+    def _choose_shard_and_assign(
+        self,
+        mapper: Optional[_EntityBindKey[_O]],
+        instance: Any,
+        **kw: Any,
+    ) -> Any:
+        if instance is not None:
+            state = inspect(instance)
+            if state.key:
+                token = state.key[2]
+                assert token is not None
+                return token
+            elif state.identity_token:
+                return state.identity_token
+
+        assert isinstance(mapper, Mapper)
+        shard_id = self.shard_chooser(mapper, instance, **kw)
+        if instance is not None:
+            state.identity_token = shard_id
+        return shard_id
+
+    def connection_callable(  # type: ignore [override]
+        self,
+        mapper: Optional[Mapper[_T]] = None,
+        instance: Optional[Any] = None,
+        shard_id: Optional[ShardIdentifier] = None,
+        **kw: Any,
+    ) -> Connection:
+        """Provide a :class:`_engine.Connection` to use in the unit of work
+        flush process.
+
+        """
+
+        if shard_id is None:
+            shard_id = self._choose_shard_and_assign(mapper, instance)
+
+        if self.in_transaction():
+            trans = self.get_transaction()
+            assert trans is not None
+            return trans.connection(mapper, shard_id=shard_id)
+        else:
+            bind = self.get_bind(
+                mapper=mapper, shard_id=shard_id, instance=instance
+            )
+
+            if isinstance(bind, Engine):
+                return bind.connect(**kw)
+            else:
+                assert isinstance(bind, Connection)
+                return bind
+
+    def get_bind(
+        self,
+        mapper: Optional[_EntityBindKey[_O]] = None,
+        *,
+        shard_id: Optional[ShardIdentifier] = None,
+        instance: Optional[Any] = None,
+        clause: Optional[ClauseElement] = None,
+        **kw: Any,
+    ) -> _SessionBind:
+        if shard_id is None:
+            shard_id = self._choose_shard_and_assign(
+                mapper, instance=instance, clause=clause
+            )
+            assert shard_id is not None
+        return self.__shards[shard_id]
+
+    def bind_shard(
+        self, shard_id: ShardIdentifier, bind: Union[Engine, OptionEngine]
+    ) -> None:
+        self.__shards[shard_id] = bind
+
+
+class set_shard_id(ORMOption):
+    """a loader option for statements to apply a specific shard id to the
+    primary query as well as for additional relationship and column
+    loaders.
+
+    The :class:`_horizontal.set_shard_id` option may be applied using
+    the :meth:`_sql.Executable.options` method of any executable statement::
+
+        stmt = (
+            select(MyObject).
+            where(MyObject.name == 'some name').
+            options(set_shard_id("shard1"))
+        )
+
+    Above, the statement when invoked will limit to the "shard1" shard
+    identifier for the primary query as well as for all relationship and
+    column loading strategies, including eager loaders such as
+    :func:`_orm.selectinload`, deferred column loaders like :func:`_orm.defer`,
+    and the lazy relationship loader :func:`_orm.lazyload`.
+
+    In this way, the :class:`_horizontal.set_shard_id` option has much wider
+    scope than using the "shard_id" argument within the
+    :paramref:`_orm.Session.execute.bind_arguments` dictionary.
+
+
+    .. versionadded:: 2.0.0
+
+    """
+
+    __slots__ = ("shard_id", "propagate_to_loaders")
+
+    def __init__(
+        self, shard_id: ShardIdentifier, propagate_to_loaders: bool = True
+    ):
+        """Construct a :class:`_horizontal.set_shard_id` option.
+
+        :param shard_id: shard identifier
+        :param propagate_to_loaders: if left at its default of ``True``, the
+         shard option will take place for lazy loaders such as
+         :func:`_orm.lazyload` and :func:`_orm.defer`; if False, the option
+         will not be propagated to loaded objects. Note that :func:`_orm.defer`
+         always limits to the shard_id of the parent row in any case, so the
+         parameter only has a net effect on the behavior of the
+         :func:`_orm.lazyload` strategy.
+
+        """
+        self.shard_id = shard_id
+        self.propagate_to_loaders = propagate_to_loaders
+
+
+def execute_and_instances(
+    orm_context: ORMExecuteState,
+) -> Union[Result[_T], IteratorResult[_TP]]:
+    active_options: Union[
+        None,
+        QueryContext.default_load_options,
+        Type[QueryContext.default_load_options],
+        BulkUDCompileState.default_update_options,
+        Type[BulkUDCompileState.default_update_options],
+    ]
+
+    if orm_context.is_select:
+        active_options = orm_context.load_options
+
+    elif orm_context.is_update or orm_context.is_delete:
+        active_options = orm_context.update_delete_options
+    else:
+        active_options = None
+
+    session = orm_context.session
+    assert isinstance(session, ShardedSession)
+
+    def iter_for_shard(
+        shard_id: ShardIdentifier,
+    ) -> Union[Result[_T], IteratorResult[_TP]]:
+        bind_arguments = dict(orm_context.bind_arguments)
+        bind_arguments["shard_id"] = shard_id
+
+        orm_context.update_execution_options(identity_token=shard_id)
+        return orm_context.invoke_statement(bind_arguments=bind_arguments)
+
+    for orm_opt in orm_context._non_compile_orm_options:
+        # TODO: if we had an ORMOption that gets applied at ORM statement
+        # execution time, that would allow this to be more generalized.
+        # for now just iterate and look for our options
+        if isinstance(orm_opt, set_shard_id):
+            shard_id = orm_opt.shard_id
+            break
+    else:
+        if active_options and active_options._identity_token is not None:
+            shard_id = active_options._identity_token
+        elif "_sa_shard_id" in orm_context.execution_options:
+            shard_id = orm_context.execution_options["_sa_shard_id"]
+        elif "shard_id" in orm_context.bind_arguments:
+            shard_id = orm_context.bind_arguments["shard_id"]
+        else:
+            shard_id = None
+
+    if shard_id is not None:
+        return iter_for_shard(shard_id)
+    else:
+        partial = []
+        for shard_id in session.execute_chooser(orm_context):
+            result_ = iter_for_shard(shard_id)
+            partial.append(result_)
+        return partial[0].merge(*partial[1:])

elitebot/lib/python3.11/site-packages/sqlalchemy/ext/indexable.py

@@ -0,0 +1,341 @@
+# ext/indexable.py
+# Copyright (C) 2005-2024 the SQLAlchemy authors and contributors
+# <see AUTHORS file>
+#
+# This module is part of SQLAlchemy and is released under
+# the MIT License: https://www.opensource.org/licenses/mit-license.php
+# mypy: ignore-errors
+
+"""Define attributes on ORM-mapped classes that have "index" attributes for
+columns with :class:`_types.Indexable` types.
+
+"index" means the attribute is associated with an element of an
+:class:`_types.Indexable` column with the predefined index to access it.
+The :class:`_types.Indexable` types include types such as
+:class:`_types.ARRAY`, :class:`_types.JSON` and
+:class:`_postgresql.HSTORE`.
+
+
+
+The :mod:`~sqlalchemy.ext.indexable` extension provides
+:class:`_schema.Column`-like interface for any element of an
+:class:`_types.Indexable` typed column. In simple cases, it can be
+treated as a :class:`_schema.Column` - mapped attribute.
+
+Synopsis
+========
+
+Given ``Person`` as a model with a primary key and JSON data field.
+While this field may have any number of elements encoded within it,
+we would like to refer to the element called ``name`` individually
+as a dedicated attribute which behaves like a standalone column::
+
+    from sqlalchemy import Column, JSON, Integer
+    from sqlalchemy.ext.declarative import declarative_base
+    from sqlalchemy.ext.indexable import index_property
+
+    Base = declarative_base()
+
+    class Person(Base):
+        __tablename__ = 'person'
+
+        id = Column(Integer, primary_key=True)
+        data = Column(JSON)
+
+        name = index_property('data', 'name')
+
+
+Above, the ``name`` attribute now behaves like a mapped column.   We
+can compose a new ``Person`` and set the value of ``name``::
+
+    >>> person = Person(name='Alchemist')
+
+The value is now accessible::
+
+    >>> person.name
+    'Alchemist'
+
+Behind the scenes, the JSON field was initialized to a new blank dictionary
+and the field was set::
+
+    >>> person.data
+    {"name": "Alchemist'}
+
+The field is mutable in place::
+
+    >>> person.name = 'Renamed'
+    >>> person.name
+    'Renamed'
+    >>> person.data
+    {'name': 'Renamed'}
+
+When using :class:`.index_property`, the change that we make to the indexable
+structure is also automatically tracked as history; we no longer need
+to use :class:`~.mutable.MutableDict` in order to track this change
+for the unit of work.
+
+Deletions work normally as well::
+
+    >>> del person.name
+    >>> person.data
+    {}
+
+Above, deletion of ``person.name`` deletes the value from the dictionary,
+but not the dictionary itself.
+
+A missing key will produce ``AttributeError``::
+
+    >>> person = Person()
+    >>> person.name
+    ...
+    AttributeError: 'name'
+
+Unless you set a default value::
+
+    >>> class Person(Base):
+    >>>     __tablename__ = 'person'
+    >>>
+    >>>     id = Column(Integer, primary_key=True)
+    >>>     data = Column(JSON)
+    >>>
+    >>>     name = index_property('data', 'name', default=None)  # See default
+
+    >>> person = Person()
+    >>> print(person.name)
+    None
+
+
+The attributes are also accessible at the class level.
+Below, we illustrate ``Person.name`` used to generate
+an indexed SQL criteria::
+
+    >>> from sqlalchemy.orm import Session
+    >>> session = Session()
+    >>> query = session.query(Person).filter(Person.name == 'Alchemist')
+
+The above query is equivalent to::
+
+    >>> query = session.query(Person).filter(Person.data['name'] == 'Alchemist')
+
+Multiple :class:`.index_property` objects can be chained to produce
+multiple levels of indexing::
+
+    from sqlalchemy import Column, JSON, Integer
+    from sqlalchemy.ext.declarative import declarative_base
+    from sqlalchemy.ext.indexable import index_property
+
+    Base = declarative_base()
+
+    class Person(Base):
+        __tablename__ = 'person'
+
+        id = Column(Integer, primary_key=True)
+        data = Column(JSON)
+
+        birthday = index_property('data', 'birthday')
+        year = index_property('birthday', 'year')
+        month = index_property('birthday', 'month')
+        day = index_property('birthday', 'day')
+
+Above, a query such as::
+
+    q = session.query(Person).filter(Person.year == '1980')
+
+On a PostgreSQL backend, the above query will render as::
+
+    SELECT person.id, person.data
+    FROM person
+    WHERE person.data -> %(data_1)s -> %(param_1)s = %(param_2)s
+
+Default Values
+==============
+
+:class:`.index_property` includes special behaviors for when the indexed
+data structure does not exist, and a set operation is called:
+
+* For an :class:`.index_property` that is given an integer index value,
+  the default data structure will be a Python list of ``None`` values,
+  at least as long as the index value; the value is then set at its
+  place in the list.  This means for an index value of zero, the list
+  will be initialized to ``[None]`` before setting the given value,
+  and for an index value of five, the list will be initialized to
+  ``[None, None, None, None, None]`` before setting the fifth element
+  to the given value.   Note that an existing list is **not** extended
+  in place to receive a value.
+
+* for an :class:`.index_property` that is given any other kind of index
+  value (e.g. strings usually), a Python dictionary is used as the
+  default data structure.
+
+* The default data structure can be set to any Python callable using the
+  :paramref:`.index_property.datatype` parameter, overriding the previous
+  rules.
+
+
+Subclassing
+===========
+
+:class:`.index_property` can be subclassed, in particular for the common
+use case of providing coercion of values or SQL expressions as they are
+accessed.  Below is a common recipe for use with a PostgreSQL JSON type,
+where we want to also include automatic casting plus ``astext()``::
+
+    class pg_json_property(index_property):
+        def __init__(self, attr_name, index, cast_type):
+            super(pg_json_property, self).__init__(attr_name, index)
+            self.cast_type = cast_type
+
+        def expr(self, model):
+            expr = super(pg_json_property, self).expr(model)
+            return expr.astext.cast(self.cast_type)
+
+The above subclass can be used with the PostgreSQL-specific
+version of :class:`_postgresql.JSON`::
+
+    from sqlalchemy import Column, Integer
+    from sqlalchemy.ext.declarative import declarative_base
+    from sqlalchemy.dialects.postgresql import JSON
+
+    Base = declarative_base()
+
+    class Person(Base):
+        __tablename__ = 'person'
+
+        id = Column(Integer, primary_key=True)
+        data = Column(JSON)
+
+        age = pg_json_property('data', 'age', Integer)
+
+The ``age`` attribute at the instance level works as before; however
+when rendering SQL, PostgreSQL's ``->>`` operator will be used
+for indexed access, instead of the usual index operator of ``->``::
+
+    >>> query = session.query(Person).filter(Person.age < 20)
+
+The above query will render::
+
+    SELECT person.id, person.data
+    FROM person
+    WHERE CAST(person.data ->> %(data_1)s AS INTEGER) < %(param_1)s
+
+"""  # noqa
+from .. import inspect
+from ..ext.hybrid import hybrid_property
+from ..orm.attributes import flag_modified
+
+
+__all__ = ["index_property"]
+
+
+class index_property(hybrid_property):  # noqa
+    """A property generator. The generated property describes an object
+    attribute that corresponds to an :class:`_types.Indexable`
+    column.
+
+    .. seealso::
+
+        :mod:`sqlalchemy.ext.indexable`
+
+    """
+
+    _NO_DEFAULT_ARGUMENT = object()
+
+    def __init__(
+        self,
+        attr_name,
+        index,
+        default=_NO_DEFAULT_ARGUMENT,
+        datatype=None,
+        mutable=True,
+        onebased=True,
+    ):
+        """Create a new :class:`.index_property`.
+
+        :param attr_name:
+            An attribute name of an `Indexable` typed column, or other
+            attribute that returns an indexable structure.
+        :param index:
+            The index to be used for getting and setting this value.  This
+            should be the Python-side index value for integers.
+        :param default:
+            A value which will be returned instead of `AttributeError`
+            when there is not a value at given index.
+        :param datatype: default datatype to use when the field is empty.
+            By default, this is derived from the type of index used; a
+            Python list for an integer index, or a Python dictionary for
+            any other style of index.   For a list, the list will be
+            initialized to a list of None values that is at least
+            ``index`` elements long.
+        :param mutable: if False, writes and deletes to the attribute will
+            be disallowed.
+        :param onebased: assume the SQL representation of this value is
+            one-based; that is, the first index in SQL is 1, not zero.
+        """
+
+        if mutable:
+            super().__init__(self.fget, self.fset, self.fdel, self.expr)
+        else:
+            super().__init__(self.fget, None, None, self.expr)
+        self.attr_name = attr_name
+        self.index = index
+        self.default = default
+        is_numeric = isinstance(index, int)
+        onebased = is_numeric and onebased
+
+        if datatype is not None:
+            self.datatype = datatype
+        else:
+            if is_numeric:
+                self.datatype = lambda: [None for x in range(index + 1)]
+            else:
+                self.datatype = dict
+        self.onebased = onebased
+
+    def _fget_default(self, err=None):
+        if self.default == self._NO_DEFAULT_ARGUMENT:
+            raise AttributeError(self.attr_name) from err
+        else:
+            return self.default
+
+    def fget(self, instance):
+        attr_name = self.attr_name
+        column_value = getattr(instance, attr_name)
+        if column_value is None:
+            return self._fget_default()
+        try:
+            value = column_value[self.index]
+        except (KeyError, IndexError) as err:
+            return self._fget_default(err)
+        else:
+            return value
+
+    def fset(self, instance, value):
+        attr_name = self.attr_name
+        column_value = getattr(instance, attr_name, None)
+        if column_value is None:
+            column_value = self.datatype()
+            setattr(instance, attr_name, column_value)
+        column_value[self.index] = value
+        setattr(instance, attr_name, column_value)
+        if attr_name in inspect(instance).mapper.attrs:
+            flag_modified(instance, attr_name)
+
+    def fdel(self, instance):
+        attr_name = self.attr_name
+        column_value = getattr(instance, attr_name)
+        if column_value is None:
+            raise AttributeError(self.attr_name)
+        try:
+            del column_value[self.index]
+        except KeyError as err:
+            raise AttributeError(self.attr_name) from err
+        else:
+            setattr(instance, attr_name, column_value)
+            flag_modified(instance, attr_name)
+
+    def expr(self, model):
+        column = getattr(model, self.attr_name)
+        index = self.index
+        if self.onebased:
+            index += 1
+        return column[index]

elitebot/lib/python3.11/site-packages/sqlalchemy/ext/instrumentation.py

@@ -0,0 +1,450 @@
+# ext/instrumentation.py
+# Copyright (C) 2005-2024 the SQLAlchemy authors and contributors
+# <see AUTHORS file>
+#
+# This module is part of SQLAlchemy and is released under
+# the MIT License: https://www.opensource.org/licenses/mit-license.php
+# mypy: ignore-errors
+
+"""Extensible class instrumentation.
+
+The :mod:`sqlalchemy.ext.instrumentation` package provides for alternate
+systems of class instrumentation within the ORM.  Class instrumentation
+refers to how the ORM places attributes on the class which maintain
+data and track changes to that data, as well as event hooks installed
+on the class.
+
+.. note::
+    The extension package is provided for the benefit of integration
+    with other object management packages, which already perform
+    their own instrumentation.  It is not intended for general use.
+
+For examples of how the instrumentation extension is used,
+see the example :ref:`examples_instrumentation`.
+
+"""
+import weakref
+
+from .. import util
+from ..orm import attributes
+from ..orm import base as orm_base
+from ..orm import collections
+from ..orm import exc as orm_exc
+from ..orm import instrumentation as orm_instrumentation
+from ..orm import util as orm_util
+from ..orm.instrumentation import _default_dict_getter
+from ..orm.instrumentation import _default_manager_getter
+from ..orm.instrumentation import _default_opt_manager_getter
+from ..orm.instrumentation import _default_state_getter
+from ..orm.instrumentation import ClassManager
+from ..orm.instrumentation import InstrumentationFactory
+
+
+INSTRUMENTATION_MANAGER = "__sa_instrumentation_manager__"
+"""Attribute, elects custom instrumentation when present on a mapped class.
+
+Allows a class to specify a slightly or wildly different technique for
+tracking changes made to mapped attributes and collections.
+
+Only one instrumentation implementation is allowed in a given object
+inheritance hierarchy.
+
+The value of this attribute must be a callable and will be passed a class
+object.  The callable must return one of:
+
+  - An instance of an :class:`.InstrumentationManager` or subclass
+  - An object implementing all or some of InstrumentationManager (TODO)
+  - A dictionary of callables, implementing all or some of the above (TODO)
+  - An instance of a :class:`.ClassManager` or subclass
+
+This attribute is consulted by SQLAlchemy instrumentation
+resolution, once the :mod:`sqlalchemy.ext.instrumentation` module
+has been imported.  If custom finders are installed in the global
+instrumentation_finders list, they may or may not choose to honor this
+attribute.
+
+"""
+
+
+def find_native_user_instrumentation_hook(cls):
+    """Find user-specified instrumentation management for a class."""
+    return getattr(cls, INSTRUMENTATION_MANAGER, None)
+
+
+instrumentation_finders = [find_native_user_instrumentation_hook]
+"""An extensible sequence of callables which return instrumentation
+implementations
+
+When a class is registered, each callable will be passed a class object.
+If None is returned, the
+next finder in the sequence is consulted.  Otherwise the return must be an
+instrumentation factory that follows the same guidelines as
+sqlalchemy.ext.instrumentation.INSTRUMENTATION_MANAGER.
+
+By default, the only finder is find_native_user_instrumentation_hook, which
+searches for INSTRUMENTATION_MANAGER.  If all finders return None, standard
+ClassManager instrumentation is used.
+
+"""
+
+
+class ExtendedInstrumentationRegistry(InstrumentationFactory):
+    """Extends :class:`.InstrumentationFactory` with additional
+    bookkeeping, to accommodate multiple types of
+    class managers.
+
+    """
+
+    _manager_finders = weakref.WeakKeyDictionary()
+    _state_finders = weakref.WeakKeyDictionary()
+    _dict_finders = weakref.WeakKeyDictionary()
+    _extended = False
+
+    def _locate_extended_factory(self, class_):
+        for finder in instrumentation_finders:
+            factory = finder(class_)
+            if factory is not None:
+                manager = self._extended_class_manager(class_, factory)
+                return manager, factory
+        else:
+            return None, None
+
+    def _check_conflicts(self, class_, factory):
+        existing_factories = self._collect_management_factories_for(
+            class_
+        ).difference([factory])
+        if existing_factories:
+            raise TypeError(
+                "multiple instrumentation implementations specified "
+                "in %s inheritance hierarchy: %r"
+                % (class_.__name__, list(existing_factories))
+            )
+
+    def _extended_class_manager(self, class_, factory):
+        manager = factory(class_)
+        if not isinstance(manager, ClassManager):
+            manager = _ClassInstrumentationAdapter(class_, manager)
+
+        if factory != ClassManager and not self._extended:
+            # somebody invoked a custom ClassManager.
+            # reinstall global "getter" functions with the more
+            # expensive ones.
+            self._extended = True
+            _install_instrumented_lookups()
+
+        self._manager_finders[class_] = manager.manager_getter()
+        self._state_finders[class_] = manager.state_getter()
+        self._dict_finders[class_] = manager.dict_getter()
+        return manager
+
+    def _collect_management_factories_for(self, cls):
+        """Return a collection of factories in play or specified for a
+        hierarchy.
+
+        Traverses the entire inheritance graph of a cls and returns a
+        collection of instrumentation factories for those classes. Factories
+        are extracted from active ClassManagers, if available, otherwise
+        instrumentation_finders is consulted.
+
+        """
+        hierarchy = util.class_hierarchy(cls)
+        factories = set()
+        for member in hierarchy:
+            manager = self.opt_manager_of_class(member)
+            if manager is not None:
+                factories.add(manager.factory)
+            else:
+                for finder in instrumentation_finders:
+                    factory = finder(member)
+                    if factory is not None:
+                        break
+                else:
+                    factory = None
+                factories.add(factory)
+        factories.discard(None)
+        return factories
+
+    def unregister(self, class_):
+        super().unregister(class_)
+        if class_ in self._manager_finders:
+            del self._manager_finders[class_]
+            del self._state_finders[class_]
+            del self._dict_finders[class_]
+
+    def opt_manager_of_class(self, cls):
+        try:
+            finder = self._manager_finders.get(
+                cls, _default_opt_manager_getter
+            )
+        except TypeError:
+            # due to weakref lookup on invalid object
+            return None
+        else:
+            return finder(cls)
+
+    def manager_of_class(self, cls):
+        try:
+            finder = self._manager_finders.get(cls, _default_manager_getter)
+        except TypeError:
+            # due to weakref lookup on invalid object
+            raise orm_exc.UnmappedClassError(
+                cls, f"Can't locate an instrumentation manager for class {cls}"
+            )
+        else:
+            manager = finder(cls)
+            if manager is None:
+                raise orm_exc.UnmappedClassError(
+                    cls,
+                    f"Can't locate an instrumentation manager for class {cls}",
+                )
+            return manager
+
+    def state_of(self, instance):
+        if instance is None:
+            raise AttributeError("None has no persistent state.")
+        return self._state_finders.get(
+            instance.__class__, _default_state_getter
+        )(instance)
+
+    def dict_of(self, instance):
+        if instance is None:
+            raise AttributeError("None has no persistent state.")
+        return self._dict_finders.get(
+            instance.__class__, _default_dict_getter
+        )(instance)
+
+
+orm_instrumentation._instrumentation_factory = _instrumentation_factory = (
+    ExtendedInstrumentationRegistry()
+)
+orm_instrumentation.instrumentation_finders = instrumentation_finders
+
+
+class InstrumentationManager:
+    """User-defined class instrumentation extension.
+
+    :class:`.InstrumentationManager` can be subclassed in order
+    to change
+    how class instrumentation proceeds. This class exists for
+    the purposes of integration with other object management
+    frameworks which would like to entirely modify the
+    instrumentation methodology of the ORM, and is not intended
+    for regular usage.  For interception of class instrumentation
+    events, see :class:`.InstrumentationEvents`.
+
+    The API for this class should be considered as semi-stable,
+    and may change slightly with new releases.
+
+    """
+
+    # r4361 added a mandatory (cls) constructor to this interface.
+    # given that, perhaps class_ should be dropped from all of these
+    # signatures.
+
+    def __init__(self, class_):
+        pass
+
+    def manage(self, class_, manager):
+        setattr(class_, "_default_class_manager", manager)
+
+    def unregister(self, class_, manager):
+        delattr(class_, "_default_class_manager")
+
+    def manager_getter(self, class_):
+        def get(cls):
+            return cls._default_class_manager
+
+        return get
+
+    def instrument_attribute(self, class_, key, inst):
+        pass
+
+    def post_configure_attribute(self, class_, key, inst):
+        pass
+
+    def install_descriptor(self, class_, key, inst):
+        setattr(class_, key, inst)
+
+    def uninstall_descriptor(self, class_, key):
+        delattr(class_, key)
+
+    def install_member(self, class_, key, implementation):
+        setattr(class_, key, implementation)
+
+    def uninstall_member(self, class_, key):
+        delattr(class_, key)
+
+    def instrument_collection_class(self, class_, key, collection_class):
+        return collections.prepare_instrumentation(collection_class)
+
+    def get_instance_dict(self, class_, instance):
+        return instance.__dict__
+
+    def initialize_instance_dict(self, class_, instance):
+        pass
+
+    def install_state(self, class_, instance, state):
+        setattr(instance, "_default_state", state)
+
+    def remove_state(self, class_, instance):
+        delattr(instance, "_default_state")
+
+    def state_getter(self, class_):
+        return lambda instance: getattr(instance, "_default_state")
+
+    def dict_getter(self, class_):
+        return lambda inst: self.get_instance_dict(class_, inst)
+
+
+class _ClassInstrumentationAdapter(ClassManager):
+    """Adapts a user-defined InstrumentationManager to a ClassManager."""
+
+    def __init__(self, class_, override):
+        self._adapted = override
+        self._get_state = self._adapted.state_getter(class_)
+        self._get_dict = self._adapted.dict_getter(class_)
+
+        ClassManager.__init__(self, class_)
+
+    def manage(self):
+        self._adapted.manage(self.class_, self)
+
+    def unregister(self):
+        self._adapted.unregister(self.class_, self)
+
+    def manager_getter(self):
+        return self._adapted.manager_getter(self.class_)
+
+    def instrument_attribute(self, key, inst, propagated=False):
+        ClassManager.instrument_attribute(self, key, inst, propagated)
+        if not propagated:
+            self._adapted.instrument_attribute(self.class_, key, inst)
+
+    def post_configure_attribute(self, key):
+        super().post_configure_attribute(key)
+        self._adapted.post_configure_attribute(self.class_, key, self[key])
+
+    def install_descriptor(self, key, inst):
+        self._adapted.install_descriptor(self.class_, key, inst)
+
+    def uninstall_descriptor(self, key):
+        self._adapted.uninstall_descriptor(self.class_, key)
+
+    def install_member(self, key, implementation):
+        self._adapted.install_member(self.class_, key, implementation)
+
+    def uninstall_member(self, key):
+        self._adapted.uninstall_member(self.class_, key)
+
+    def instrument_collection_class(self, key, collection_class):
+        return self._adapted.instrument_collection_class(
+            self.class_, key, collection_class
+        )
+
+    def initialize_collection(self, key, state, factory):
+        delegate = getattr(self._adapted, "initialize_collection", None)
+        if delegate:
+            return delegate(key, state, factory)
+        else:
+            return ClassManager.initialize_collection(
+                self, key, state, factory
+            )
+
+    def new_instance(self, state=None):
+        instance = self.class_.__new__(self.class_)
+        self.setup_instance(instance, state)
+        return instance
+
+    def _new_state_if_none(self, instance):
+        """Install a default InstanceState if none is present.
+
+        A private convenience method used by the __init__ decorator.
+        """
+        if self.has_state(instance):
+            return False
+        else:
+            return self.setup_instance(instance)
+
+    def setup_instance(self, instance, state=None):
+        self._adapted.initialize_instance_dict(self.class_, instance)
+
+        if state is None:
+            state = self._state_constructor(instance, self)
+
+        # the given instance is assumed to have no state
+        self._adapted.install_state(self.class_, instance, state)
+        return state
+
+    def teardown_instance(self, instance):
+        self._adapted.remove_state(self.class_, instance)
+
+    def has_state(self, instance):
+        try:
+            self._get_state(instance)
+        except orm_exc.NO_STATE:
+            return False
+        else:
+            return True
+
+    def state_getter(self):
+        return self._get_state
+
+    def dict_getter(self):
+        return self._get_dict
+
+
+def _install_instrumented_lookups():
+    """Replace global class/object management functions
+    with ExtendedInstrumentationRegistry implementations, which
+    allow multiple types of class managers to be present,
+    at the cost of performance.
+
+    This function is called only by ExtendedInstrumentationRegistry
+    and unit tests specific to this behavior.
+
+    The _reinstall_default_lookups() function can be called
+    after this one to re-establish the default functions.
+
+    """
+    _install_lookups(
+        dict(
+            instance_state=_instrumentation_factory.state_of,
+            instance_dict=_instrumentation_factory.dict_of,
+            manager_of_class=_instrumentation_factory.manager_of_class,
+            opt_manager_of_class=_instrumentation_factory.opt_manager_of_class,
+        )
+    )
+
+
+def _reinstall_default_lookups():
+    """Restore simplified lookups."""
+    _install_lookups(
+        dict(
+            instance_state=_default_state_getter,
+            instance_dict=_default_dict_getter,
+            manager_of_class=_default_manager_getter,
+            opt_manager_of_class=_default_opt_manager_getter,
+        )
+    )
+    _instrumentation_factory._extended = False
+
+
+def _install_lookups(lookups):
+    global instance_state, instance_dict
+    global manager_of_class, opt_manager_of_class
+    instance_state = lookups["instance_state"]
+    instance_dict = lookups["instance_dict"]
+    manager_of_class = lookups["manager_of_class"]
+    opt_manager_of_class = lookups["opt_manager_of_class"]
+    orm_base.instance_state = attributes.instance_state = (
+        orm_instrumentation.instance_state
+    ) = instance_state
+    orm_base.instance_dict = attributes.instance_dict = (
+        orm_instrumentation.instance_dict
+    ) = instance_dict
+    orm_base.manager_of_class = attributes.manager_of_class = (
+        orm_instrumentation.manager_of_class
+    ) = manager_of_class
+    orm_base.opt_manager_of_class = orm_util.opt_manager_of_class = (
+        attributes.opt_manager_of_class
+    ) = orm_instrumentation.opt_manager_of_class = opt_manager_of_class

elitebot/lib/python3.11/site-packages/sqlalchemy/ext/mypy/__init__.py

@@ -0,0 +1,6 @@
+# ext/mypy/__init__.py
+# Copyright (C) 2005-2024 the SQLAlchemy authors and contributors
+# <see AUTHORS file>
+#
+# This module is part of SQLAlchemy and is released under
+# the MIT License: https://www.opensource.org/licenses/mit-license.php

elitebot/lib/python3.11/site-packages/sqlalchemy/ext/mypy/apply.py

@@ -0,0 +1,320 @@
+# ext/mypy/apply.py
+# Copyright (C) 2021-2024 the SQLAlchemy authors and contributors
+# <see AUTHORS file>
+#
+# This module is part of SQLAlchemy and is released under
+# the MIT License: https://www.opensource.org/licenses/mit-license.php
+
+from __future__ import annotations
+
+from typing import List
+from typing import Optional
+from typing import Union
+
+from mypy.nodes import ARG_NAMED_OPT
+from mypy.nodes import Argument
+from mypy.nodes import AssignmentStmt
+from mypy.nodes import CallExpr
+from mypy.nodes import ClassDef
+from mypy.nodes import MDEF
+from mypy.nodes import MemberExpr
+from mypy.nodes import NameExpr
+from mypy.nodes import RefExpr
+from mypy.nodes import StrExpr
+from mypy.nodes import SymbolTableNode
+from mypy.nodes import TempNode
+from mypy.nodes import TypeInfo
+from mypy.nodes import Var
+from mypy.plugin import SemanticAnalyzerPluginInterface
+from mypy.plugins.common import add_method_to_class
+from mypy.types import AnyType
+from mypy.types import get_proper_type
+from mypy.types import Instance
+from mypy.types import NoneTyp
+from mypy.types import ProperType
+from mypy.types import TypeOfAny
+from mypy.types import UnboundType
+from mypy.types import UnionType
+
+from . import infer
+from . import util
+from .names import expr_to_mapped_constructor
+from .names import NAMED_TYPE_SQLA_MAPPED
+
+
+def apply_mypy_mapped_attr(
+    cls: ClassDef,
+    api: SemanticAnalyzerPluginInterface,
+    item: Union[NameExpr, StrExpr],
+    attributes: List[util.SQLAlchemyAttribute],
+) -> None:
+    if isinstance(item, NameExpr):
+        name = item.name
+    elif isinstance(item, StrExpr):
+        name = item.value
+    else:
+        return None
+
+    for stmt in cls.defs.body:
+        if (
+            isinstance(stmt, AssignmentStmt)
+            and isinstance(stmt.lvalues[0], NameExpr)
+            and stmt.lvalues[0].name == name
+        ):
+            break
+    else:
+        util.fail(api, f"Can't find mapped attribute {name}", cls)
+        return None
+
+    if stmt.type is None:
+        util.fail(
+            api,
+            "Statement linked from _mypy_mapped_attrs has no "
+            "typing information",
+            stmt,
+        )
+        return None
+
+    left_hand_explicit_type = get_proper_type(stmt.type)
+    assert isinstance(
+        left_hand_explicit_type, (Instance, UnionType, UnboundType)
+    )
+
+    attributes.append(
+        util.SQLAlchemyAttribute(
+            name=name,
+            line=item.line,
+            column=item.column,
+            typ=left_hand_explicit_type,
+            info=cls.info,
+        )
+    )
+
+    apply_type_to_mapped_statement(
+        api, stmt, stmt.lvalues[0], left_hand_explicit_type, None
+    )
+
+
+def re_apply_declarative_assignments(
+    cls: ClassDef,
+    api: SemanticAnalyzerPluginInterface,
+    attributes: List[util.SQLAlchemyAttribute],
+) -> None:
+    """For multiple class passes, re-apply our left-hand side types as mypy
+    seems to reset them in place.
+
+    """
+    mapped_attr_lookup = {attr.name: attr for attr in attributes}
+    update_cls_metadata = False
+
+    for stmt in cls.defs.body:
+        # for a re-apply, all of our statements are AssignmentStmt;
+        # @declared_attr calls will have been converted and this
+        # currently seems to be preserved by mypy (but who knows if this
+        # will change).
+        if (
+            isinstance(stmt, AssignmentStmt)
+            and isinstance(stmt.lvalues[0], NameExpr)
+            and stmt.lvalues[0].name in mapped_attr_lookup
+            and isinstance(stmt.lvalues[0].node, Var)
+        ):
+            left_node = stmt.lvalues[0].node
+
+            python_type_for_type = mapped_attr_lookup[
+                stmt.lvalues[0].name
+            ].type
+
+            left_node_proper_type = get_proper_type(left_node.type)
+
+            # if we have scanned an UnboundType and now there's a more
+            # specific type than UnboundType, call the re-scan so we
+            # can get that set up correctly
+            if (
+                isinstance(python_type_for_type, UnboundType)
+                and not isinstance(left_node_proper_type, UnboundType)
+                and (
+                    isinstance(stmt.rvalue, CallExpr)
+                    and isinstance(stmt.rvalue.callee, MemberExpr)
+                    and isinstance(stmt.rvalue.callee.expr, NameExpr)
+                    and stmt.rvalue.callee.expr.node is not None
+                    and stmt.rvalue.callee.expr.node.fullname
+                    == NAMED_TYPE_SQLA_MAPPED
+                    and stmt.rvalue.callee.name == "_empty_constructor"
+                    and isinstance(stmt.rvalue.args[0], CallExpr)
+                    and isinstance(stmt.rvalue.args[0].callee, RefExpr)
+                )
+            ):
+                new_python_type_for_type = (
+                    infer.infer_type_from_right_hand_nameexpr(
+                        api,
+                        stmt,
+                        left_node,
+                        left_node_proper_type,
+                        stmt.rvalue.args[0].callee,
+                    )
+                )
+
+                if new_python_type_for_type is not None and not isinstance(
+                    new_python_type_for_type, UnboundType
+                ):
+                    python_type_for_type = new_python_type_for_type
+
+                    # update the SQLAlchemyAttribute with the better
+                    # information
+                    mapped_attr_lookup[stmt.lvalues[0].name].type = (
+                        python_type_for_type
+                    )
+
+                    update_cls_metadata = True
+
+            if (
+                not isinstance(left_node.type, Instance)
+                or left_node.type.type.fullname != NAMED_TYPE_SQLA_MAPPED
+            ):
+                assert python_type_for_type is not None
+                left_node.type = api.named_type(
+                    NAMED_TYPE_SQLA_MAPPED, [python_type_for_type]
+                )
+
+    if update_cls_metadata:
+        util.set_mapped_attributes(cls.info, attributes)
+
+
+def apply_type_to_mapped_statement(
+    api: SemanticAnalyzerPluginInterface,
+    stmt: AssignmentStmt,
+    lvalue: NameExpr,
+    left_hand_explicit_type: Optional[ProperType],
+    python_type_for_type: Optional[ProperType],
+) -> None:
+    """Apply the Mapped[<type>] annotation and right hand object to a
+    declarative assignment statement.
+
+    This converts a Python declarative class statement such as::
+
+        class User(Base):
+            # ...
+
+            attrname = Column(Integer)
+
+    To one that describes the final Python behavior to Mypy::
+
+        class User(Base):
+            # ...
+
+            attrname : Mapped[Optional[int]] = <meaningless temp node>
+
+    """
+    left_node = lvalue.node
+    assert isinstance(left_node, Var)
+
+    # to be completely honest I have no idea what the difference between
+    # left_node.type and stmt.type is, what it means if these are different
+    # vs. the same, why in order to get tests to pass I have to assign
+    # to stmt.type for the second case and not the first.  this is complete
+    # trying every combination until it works stuff.
+
+    if left_hand_explicit_type is not None:
+        lvalue.is_inferred_def = False
+        left_node.type = api.named_type(
+            NAMED_TYPE_SQLA_MAPPED, [left_hand_explicit_type]
+        )
+    else:
+        lvalue.is_inferred_def = False
+        left_node.type = api.named_type(
+            NAMED_TYPE_SQLA_MAPPED,
+            (
+                [AnyType(TypeOfAny.special_form)]
+                if python_type_for_type is None
+                else [python_type_for_type]
+            ),
+        )
+
+    # so to have it skip the right side totally, we can do this:
+    # stmt.rvalue = TempNode(AnyType(TypeOfAny.special_form))
+
+    # however, if we instead manufacture a new node that uses the old
+    # one, then we can still get type checking for the call itself,
+    # e.g. the Column, relationship() call, etc.
+
+    # rewrite the node as:
+    # <attr> : Mapped[<typ>] =
+    # _sa_Mapped._empty_constructor(<original CallExpr from rvalue>)
+    # the original right-hand side is maintained so it gets type checked
+    # internally
+    stmt.rvalue = expr_to_mapped_constructor(stmt.rvalue)
+
+    if stmt.type is not None and python_type_for_type is not None:
+        stmt.type = python_type_for_type
+
+
+def add_additional_orm_attributes(
+    cls: ClassDef,
+    api: SemanticAnalyzerPluginInterface,
+    attributes: List[util.SQLAlchemyAttribute],
+) -> None:
+    """Apply __init__, __table__ and other attributes to the mapped class."""
+
+    info = util.info_for_cls(cls, api)
+
+    if info is None:
+        return
+
+    is_base = util.get_is_base(info)
+
+    if "__init__" not in info.names and not is_base:
+        mapped_attr_names = {attr.name: attr.type for attr in attributes}
+
+        for base in info.mro[1:-1]:
+            if "sqlalchemy" not in info.metadata:
+                continue
+
+            base_cls_attributes = util.get_mapped_attributes(base, api)
+            if base_cls_attributes is None:
+                continue
+
+            for attr in base_cls_attributes:
+                mapped_attr_names.setdefault(attr.name, attr.type)
+
+        arguments = []
+        for name, typ in mapped_attr_names.items():
+            if typ is None:
+                typ = AnyType(TypeOfAny.special_form)
+            arguments.append(
+                Argument(
+                    variable=Var(name, typ),
+                    type_annotation=typ,
+                    initializer=TempNode(typ),
+                    kind=ARG_NAMED_OPT,
+                )
+            )
+
+        add_method_to_class(api, cls, "__init__", arguments, NoneTyp())
+
+    if "__table__" not in info.names and util.get_has_table(info):
+        _apply_placeholder_attr_to_class(
+            api, cls, "sqlalchemy.sql.schema.Table", "__table__"
+        )
+    if not is_base:
+        _apply_placeholder_attr_to_class(
+            api, cls, "sqlalchemy.orm.mapper.Mapper", "__mapper__"
+        )
+
+
+def _apply_placeholder_attr_to_class(
+    api: SemanticAnalyzerPluginInterface,
+    cls: ClassDef,
+    qualified_name: str,
+    attrname: str,
+) -> None:
+    sym = api.lookup_fully_qualified_or_none(qualified_name)
+    if sym:
+        assert isinstance(sym.node, TypeInfo)
+        type_: ProperType = Instance(sym.node, [])
+    else:
+        type_ = AnyType(TypeOfAny.special_form)
+    var = Var(attrname)
+    var._fullname = cls.fullname + "." + attrname
+    var.info = cls.info
+    var.type = type_
+    cls.info.names[attrname] = SymbolTableNode(MDEF, var)

elitebot/lib/python3.11/site-packages/sqlalchemy/ext/mypy/decl_class.py

@@ -0,0 +1,515 @@
+# ext/mypy/decl_class.py
+# Copyright (C) 2021-2024 the SQLAlchemy authors and contributors
+# <see AUTHORS file>
+#
+# This module is part of SQLAlchemy and is released under
+# the MIT License: https://www.opensource.org/licenses/mit-license.php
+
+from __future__ import annotations
+
+from typing import List
+from typing import Optional
+from typing import Union
+
+from mypy.nodes import AssignmentStmt
+from mypy.nodes import CallExpr
+from mypy.nodes import ClassDef
+from mypy.nodes import Decorator
+from mypy.nodes import LambdaExpr
+from mypy.nodes import ListExpr
+from mypy.nodes import MemberExpr
+from mypy.nodes import NameExpr
+from mypy.nodes import PlaceholderNode
+from mypy.nodes import RefExpr
+from mypy.nodes import StrExpr
+from mypy.nodes import SymbolNode
+from mypy.nodes import SymbolTableNode
+from mypy.nodes import TempNode
+from mypy.nodes import TypeInfo
+from mypy.nodes import Var
+from mypy.plugin import SemanticAnalyzerPluginInterface
+from mypy.types import AnyType
+from mypy.types import CallableType
+from mypy.types import get_proper_type
+from mypy.types import Instance
+from mypy.types import NoneType
+from mypy.types import ProperType
+from mypy.types import Type
+from mypy.types import TypeOfAny
+from mypy.types import UnboundType
+from mypy.types import UnionType
+
+from . import apply
+from . import infer
+from . import names
+from . import util
+
+
+def scan_declarative_assignments_and_apply_types(
+    cls: ClassDef,
+    api: SemanticAnalyzerPluginInterface,
+    is_mixin_scan: bool = False,
+) -> Optional[List[util.SQLAlchemyAttribute]]:
+    info = util.info_for_cls(cls, api)
+
+    if info is None:
+        # this can occur during cached passes
+        return None
+    elif cls.fullname.startswith("builtins"):
+        return None
+
+    mapped_attributes: Optional[List[util.SQLAlchemyAttribute]] = (
+        util.get_mapped_attributes(info, api)
+    )
+
+    # used by assign.add_additional_orm_attributes among others
+    util.establish_as_sqlalchemy(info)
+
+    if mapped_attributes is not None:
+        # ensure that a class that's mapped is always picked up by
+        # its mapped() decorator or declarative metaclass before
+        # it would be detected as an unmapped mixin class
+
+        if not is_mixin_scan:
+            # mypy can call us more than once.  it then *may* have reset the
+            # left hand side of everything, but not the right that we removed,
+            # removing our ability to re-scan.   but we have the types
+            # here, so lets re-apply them, or if we have an UnboundType,
+            # we can re-scan
+
+            apply.re_apply_declarative_assignments(cls, api, mapped_attributes)
+
+        return mapped_attributes
+
+    mapped_attributes = []
+
+    if not cls.defs.body:
+        # when we get a mixin class from another file, the body is
+        # empty (!) but the names are in the symbol table.  so use that.
+
+        for sym_name, sym in info.names.items():
+            _scan_symbol_table_entry(
+                cls, api, sym_name, sym, mapped_attributes
+            )
+    else:
+        for stmt in util.flatten_typechecking(cls.defs.body):
+            if isinstance(stmt, AssignmentStmt):
+                _scan_declarative_assignment_stmt(
+                    cls, api, stmt, mapped_attributes
+                )
+            elif isinstance(stmt, Decorator):
+                _scan_declarative_decorator_stmt(
+                    cls, api, stmt, mapped_attributes
+                )
+    _scan_for_mapped_bases(cls, api)
+
+    if not is_mixin_scan:
+        apply.add_additional_orm_attributes(cls, api, mapped_attributes)
+
+    util.set_mapped_attributes(info, mapped_attributes)
+
+    return mapped_attributes
+
+
+def _scan_symbol_table_entry(
+    cls: ClassDef,
+    api: SemanticAnalyzerPluginInterface,
+    name: str,
+    value: SymbolTableNode,
+    attributes: List[util.SQLAlchemyAttribute],
+) -> None:
+    """Extract mapping information from a SymbolTableNode that's in the
+    type.names dictionary.
+
+    """
+    value_type = get_proper_type(value.type)
+    if not isinstance(value_type, Instance):
+        return
+
+    left_hand_explicit_type = None
+    type_id = names.type_id_for_named_node(value_type.type)
+    # type_id = names._type_id_for_unbound_type(value.type.type, cls, api)
+
+    err = False
+
+    # TODO: this is nearly the same logic as that of
+    # _scan_declarative_decorator_stmt, likely can be merged
+    if type_id in {
+        names.MAPPED,
+        names.RELATIONSHIP,
+        names.COMPOSITE_PROPERTY,
+        names.MAPPER_PROPERTY,
+        names.SYNONYM_PROPERTY,
+        names.COLUMN_PROPERTY,
+    }:
+        if value_type.args:
+            left_hand_explicit_type = get_proper_type(value_type.args[0])
+        else:
+            err = True
+    elif type_id is names.COLUMN:
+        if not value_type.args:
+            err = True
+        else:
+            typeengine_arg: Union[ProperType, TypeInfo] = get_proper_type(
+                value_type.args[0]
+            )
+            if isinstance(typeengine_arg, Instance):
+                typeengine_arg = typeengine_arg.type
+
+            if isinstance(typeengine_arg, (UnboundType, TypeInfo)):
+                sym = api.lookup_qualified(typeengine_arg.name, typeengine_arg)
+                if sym is not None and isinstance(sym.node, TypeInfo):
+                    if names.has_base_type_id(sym.node, names.TYPEENGINE):
+                        left_hand_explicit_type = UnionType(
+                            [
+                                infer.extract_python_type_from_typeengine(
+                                    api, sym.node, []
+                                ),
+                                NoneType(),
+                            ]
+                        )
+                    else:
+                        util.fail(
+                            api,
+                            "Column type should be a TypeEngine "
+                            "subclass not '{}'".format(sym.node.fullname),
+                            value_type,
+                        )
+
+    if err:
+        msg = (
+            "Can't infer type from attribute {} on class {}. "
+            "please specify a return type from this function that is "
+            "one of: Mapped[<python type>], relationship[<target class>], "
+            "Column[<TypeEngine>], MapperProperty[<python type>]"
+        )
+        util.fail(api, msg.format(name, cls.name), cls)
+
+        left_hand_explicit_type = AnyType(TypeOfAny.special_form)
+
+    if left_hand_explicit_type is not None:
+        assert value.node is not None
+        attributes.append(
+            util.SQLAlchemyAttribute(
+                name=name,
+                line=value.node.line,
+                column=value.node.column,
+                typ=left_hand_explicit_type,
+                info=cls.info,
+            )
+        )
+
+
+def _scan_declarative_decorator_stmt(
+    cls: ClassDef,
+    api: SemanticAnalyzerPluginInterface,
+    stmt: Decorator,
+    attributes: List[util.SQLAlchemyAttribute],
+) -> None:
+    """Extract mapping information from a @declared_attr in a declarative
+    class.
+
+    E.g.::
+
+        @reg.mapped
+        class MyClass:
+            # ...
+
+            @declared_attr
+            def updated_at(cls) -> Column[DateTime]:
+                return Column(DateTime)
+
+    Will resolve in mypy as::
+
+        @reg.mapped
+        class MyClass:
+            # ...
+
+            updated_at: Mapped[Optional[datetime.datetime]]
+
+    """
+    for dec in stmt.decorators:
+        if (
+            isinstance(dec, (NameExpr, MemberExpr, SymbolNode))
+            and names.type_id_for_named_node(dec) is names.DECLARED_ATTR
+        ):
+            break
+    else:
+        return
+
+    dec_index = cls.defs.body.index(stmt)
+
+    left_hand_explicit_type: Optional[ProperType] = None
+
+    if util.name_is_dunder(stmt.name):
+        # for dunder names like __table_args__, __tablename__,
+        # __mapper_args__ etc., rewrite these as simple assignment
+        # statements; otherwise mypy doesn't like if the decorated
+        # function has an annotation like ``cls: Type[Foo]`` because
+        # it isn't @classmethod
+        any_ = AnyType(TypeOfAny.special_form)
+        left_node = NameExpr(stmt.var.name)
+        left_node.node = stmt.var
+        new_stmt = AssignmentStmt([left_node], TempNode(any_))
+        new_stmt.type = left_node.node.type
+        cls.defs.body[dec_index] = new_stmt
+        return
+    elif isinstance(stmt.func.type, CallableType):
+        func_type = stmt.func.type.ret_type
+        if isinstance(func_type, UnboundType):
+            type_id = names.type_id_for_unbound_type(func_type, cls, api)
+        else:
+            # this does not seem to occur unless the type argument is
+            # incorrect
+            return
+
+        if (
+            type_id
+            in {
+                names.MAPPED,
+                names.RELATIONSHIP,
+                names.COMPOSITE_PROPERTY,
+                names.MAPPER_PROPERTY,
+                names.SYNONYM_PROPERTY,
+                names.COLUMN_PROPERTY,
+            }
+            and func_type.args
+        ):
+            left_hand_explicit_type = get_proper_type(func_type.args[0])
+        elif type_id is names.COLUMN and func_type.args:
+            typeengine_arg = func_type.args[0]
+            if isinstance(typeengine_arg, UnboundType):
+                sym = api.lookup_qualified(typeengine_arg.name, typeengine_arg)
+                if sym is not None and isinstance(sym.node, TypeInfo):
+                    if names.has_base_type_id(sym.node, names.TYPEENGINE):
+                        left_hand_explicit_type = UnionType(
+                            [
+                                infer.extract_python_type_from_typeengine(
+                                    api, sym.node, []
+                                ),
+                                NoneType(),
+                            ]
+                        )
+                    else:
+                        util.fail(
+                            api,
+                            "Column type should be a TypeEngine "
+                            "subclass not '{}'".format(sym.node.fullname),
+                            func_type,
+                        )
+
+    if left_hand_explicit_type is None:
+        # no type on the decorated function.  our option here is to
+        # dig into the function body and get the return type, but they
+        # should just have an annotation.
+        msg = (
+            "Can't infer type from @declared_attr on function '{}';  "
+            "please specify a return type from this function that is "
+            "one of: Mapped[<python type>], relationship[<target class>], "
+            "Column[<TypeEngine>], MapperProperty[<python type>]"
+        )
+        util.fail(api, msg.format(stmt.var.name), stmt)
+
+        left_hand_explicit_type = AnyType(TypeOfAny.special_form)
+
+    left_node = NameExpr(stmt.var.name)
+    left_node.node = stmt.var
+
+    # totally feeling around in the dark here as I don't totally understand
+    # the significance of UnboundType.  It seems to be something that is
+    # not going to do what's expected when it is applied as the type of
+    # an AssignmentStatement.  So do a feeling-around-in-the-dark version
+    # of converting it to the regular Instance/TypeInfo/UnionType structures
+    # we see everywhere else.
+    if isinstance(left_hand_explicit_type, UnboundType):
+        left_hand_explicit_type = get_proper_type(
+            util.unbound_to_instance(api, left_hand_explicit_type)
+        )
+
+    left_node.node.type = api.named_type(
+        names.NAMED_TYPE_SQLA_MAPPED, [left_hand_explicit_type]
+    )
+
+    # this will ignore the rvalue entirely
+    # rvalue = TempNode(AnyType(TypeOfAny.special_form))
+
+    # rewrite the node as:
+    # <attr> : Mapped[<typ>] =
+    # _sa_Mapped._empty_constructor(lambda: <function body>)
+    # the function body is maintained so it gets type checked internally
+    rvalue = names.expr_to_mapped_constructor(
+        LambdaExpr(stmt.func.arguments, stmt.func.body)
+    )
+
+    new_stmt = AssignmentStmt([left_node], rvalue)
+    new_stmt.type = left_node.node.type
+
+    attributes.append(
+        util.SQLAlchemyAttribute(
+            name=left_node.name,
+            line=stmt.line,
+            column=stmt.column,
+            typ=left_hand_explicit_type,
+            info=cls.info,
+        )
+    )
+    cls.defs.body[dec_index] = new_stmt
+
+
+def _scan_declarative_assignment_stmt(
+    cls: ClassDef,
+    api: SemanticAnalyzerPluginInterface,
+    stmt: AssignmentStmt,
+    attributes: List[util.SQLAlchemyAttribute],
+) -> None:
+    """Extract mapping information from an assignment statement in a
+    declarative class.
+
+    """
+    lvalue = stmt.lvalues[0]
+    if not isinstance(lvalue, NameExpr):
+        return
+
+    sym = cls.info.names.get(lvalue.name)
+
+    # this establishes that semantic analysis has taken place, which
+    # means the nodes are populated and we are called from an appropriate
+    # hook.
+    assert sym is not None
+    node = sym.node
+
+    if isinstance(node, PlaceholderNode):
+        return
+
+    assert node is lvalue.node
+    assert isinstance(node, Var)
+
+    if node.name == "__abstract__":
+        if api.parse_bool(stmt.rvalue) is True:
+            util.set_is_base(cls.info)
+        return
+    elif node.name == "__tablename__":
+        util.set_has_table(cls.info)
+    elif node.name.startswith("__"):
+        return
+    elif node.name == "_mypy_mapped_attrs":
+        if not isinstance(stmt.rvalue, ListExpr):
+            util.fail(api, "_mypy_mapped_attrs is expected to be a list", stmt)
+        else:
+            for item in stmt.rvalue.items:
+                if isinstance(item, (NameExpr, StrExpr)):
+                    apply.apply_mypy_mapped_attr(cls, api, item, attributes)
+
+    left_hand_mapped_type: Optional[Type] = None
+    left_hand_explicit_type: Optional[ProperType] = None
+
+    if node.is_inferred or node.type is None:
+        if isinstance(stmt.type, UnboundType):
+            # look for an explicit Mapped[] type annotation on the left
+            # side with nothing on the right
+
+            # print(stmt.type)
+            # Mapped?[Optional?[A?]]
+
+            left_hand_explicit_type = stmt.type
+
+            if stmt.type.name == "Mapped":
+                mapped_sym = api.lookup_qualified("Mapped", cls)
+                if (
+                    mapped_sym is not None
+                    and mapped_sym.node is not None
+                    and names.type_id_for_named_node(mapped_sym.node)
+                    is names.MAPPED
+                ):
+                    left_hand_explicit_type = get_proper_type(
+                        stmt.type.args[0]
+                    )
+                    left_hand_mapped_type = stmt.type
+
+            # TODO: do we need to convert from unbound for this case?
+            # left_hand_explicit_type = util._unbound_to_instance(
+            #     api, left_hand_explicit_type
+            # )
+    else:
+        node_type = get_proper_type(node.type)
+        if (
+            isinstance(node_type, Instance)
+            and names.type_id_for_named_node(node_type.type) is names.MAPPED
+        ):
+            # print(node.type)
+            # sqlalchemy.orm.attributes.Mapped[<python type>]
+            left_hand_explicit_type = get_proper_type(node_type.args[0])
+            left_hand_mapped_type = node_type
+        else:
+            # print(node.type)
+            # <python type>
+            left_hand_explicit_type = node_type
+            left_hand_mapped_type = None
+
+    if isinstance(stmt.rvalue, TempNode) and left_hand_mapped_type is not None:
+        # annotation without assignment and Mapped is present
+        # as type annotation
+        # equivalent to using _infer_type_from_left_hand_type_only.
+
+        python_type_for_type = left_hand_explicit_type
+    elif isinstance(stmt.rvalue, CallExpr) and isinstance(
+        stmt.rvalue.callee, RefExpr
+    ):
+        python_type_for_type = infer.infer_type_from_right_hand_nameexpr(
+            api, stmt, node, left_hand_explicit_type, stmt.rvalue.callee
+        )
+
+        if python_type_for_type is None:
+            return
+
+    else:
+        return
+
+    assert python_type_for_type is not None
+
+    attributes.append(
+        util.SQLAlchemyAttribute(
+            name=node.name,
+            line=stmt.line,
+            column=stmt.column,
+            typ=python_type_for_type,
+            info=cls.info,
+        )
+    )
+
+    apply.apply_type_to_mapped_statement(
+        api,
+        stmt,
+        lvalue,
+        left_hand_explicit_type,
+        python_type_for_type,
+    )
+
+
+def _scan_for_mapped_bases(
+    cls: ClassDef,
+    api: SemanticAnalyzerPluginInterface,
+) -> None:
+    """Given a class, iterate through its superclass hierarchy to find
+    all other classes that are considered as ORM-significant.
+
+    Locates non-mapped mixins and scans them for mapped attributes to be
+    applied to subclasses.
+
+    """
+
+    info = util.info_for_cls(cls, api)
+
+    if info is None:
+        return
+
+    for base_info in info.mro[1:-1]:
+        if base_info.fullname.startswith("builtins"):
+            continue
+
+        # scan each base for mapped attributes.  if they are not already
+        # scanned (but have all their type info), that means they are unmapped
+        # mixins
+        scan_declarative_assignments_and_apply_types(
+            base_info.defn, api, is_mixin_scan=True
+        )

elitebot/lib/python3.11/site-packages/sqlalchemy/ext/mypy/infer.py

@@ -0,0 +1,590 @@
+# ext/mypy/infer.py
+# Copyright (C) 2021-2024 the SQLAlchemy authors and contributors
+# <see AUTHORS file>
+#
+# This module is part of SQLAlchemy and is released under
+# the MIT License: https://www.opensource.org/licenses/mit-license.php
+
+from __future__ import annotations
+
+from typing import Optional
+from typing import Sequence
+
+from mypy.maptype import map_instance_to_supertype
+from mypy.nodes import AssignmentStmt
+from mypy.nodes import CallExpr
+from mypy.nodes import Expression
+from mypy.nodes import FuncDef
+from mypy.nodes import LambdaExpr
+from mypy.nodes import MemberExpr
+from mypy.nodes import NameExpr
+from mypy.nodes import RefExpr
+from mypy.nodes import StrExpr
+from mypy.nodes import TypeInfo
+from mypy.nodes import Var
+from mypy.plugin import SemanticAnalyzerPluginInterface
+from mypy.subtypes import is_subtype
+from mypy.types import AnyType
+from mypy.types import CallableType
+from mypy.types import get_proper_type
+from mypy.types import Instance
+from mypy.types import NoneType
+from mypy.types import ProperType
+from mypy.types import TypeOfAny
+from mypy.types import UnionType
+
+from . import names
+from . import util
+
+
+def infer_type_from_right_hand_nameexpr(
+    api: SemanticAnalyzerPluginInterface,
+    stmt: AssignmentStmt,
+    node: Var,
+    left_hand_explicit_type: Optional[ProperType],
+    infer_from_right_side: RefExpr,
+) -> Optional[ProperType]:
+    type_id = names.type_id_for_callee(infer_from_right_side)
+    if type_id is None:
+        return None
+    elif type_id is names.MAPPED:
+        python_type_for_type = _infer_type_from_mapped(
+            api, stmt, node, left_hand_explicit_type, infer_from_right_side
+        )
+    elif type_id is names.COLUMN:
+        python_type_for_type = _infer_type_from_decl_column(
+            api, stmt, node, left_hand_explicit_type
+        )
+    elif type_id is names.RELATIONSHIP:
+        python_type_for_type = _infer_type_from_relationship(
+            api, stmt, node, left_hand_explicit_type
+        )
+    elif type_id is names.COLUMN_PROPERTY:
+        python_type_for_type = _infer_type_from_decl_column_property(
+            api, stmt, node, left_hand_explicit_type
+        )
+    elif type_id is names.SYNONYM_PROPERTY:
+        python_type_for_type = infer_type_from_left_hand_type_only(
+            api, node, left_hand_explicit_type
+        )
+    elif type_id is names.COMPOSITE_PROPERTY:
+        python_type_for_type = _infer_type_from_decl_composite_property(
+            api, stmt, node, left_hand_explicit_type
+        )
+    else:
+        return None
+
+    return python_type_for_type
+
+
+def _infer_type_from_relationship(
+    api: SemanticAnalyzerPluginInterface,
+    stmt: AssignmentStmt,
+    node: Var,
+    left_hand_explicit_type: Optional[ProperType],
+) -> Optional[ProperType]:
+    """Infer the type of mapping from a relationship.
+
+    E.g.::
+
+        @reg.mapped
+        class MyClass:
+            # ...
+
+            addresses = relationship(Address, uselist=True)
+
+            order: Mapped["Order"] = relationship("Order")
+
+    Will resolve in mypy as::
+
+        @reg.mapped
+        class MyClass:
+            # ...
+
+            addresses: Mapped[List[Address]]
+
+            order: Mapped["Order"]
+
+    """
+
+    assert isinstance(stmt.rvalue, CallExpr)
+    target_cls_arg = stmt.rvalue.args[0]
+    python_type_for_type: Optional[ProperType] = None
+
+    if isinstance(target_cls_arg, NameExpr) and isinstance(
+        target_cls_arg.node, TypeInfo
+    ):
+        # type
+        related_object_type = target_cls_arg.node
+        python_type_for_type = Instance(related_object_type, [])
+
+    # other cases not covered - an error message directs the user
+    # to set an explicit type annotation
+    #
+    # node.type == str, it's a string
+    # if isinstance(target_cls_arg, NameExpr) and isinstance(
+    #     target_cls_arg.node, Var
+    # )
+    # points to a type
+    # isinstance(target_cls_arg, NameExpr) and isinstance(
+    #     target_cls_arg.node, TypeAlias
+    # )
+    # string expression
+    # isinstance(target_cls_arg, StrExpr)
+
+    uselist_arg = util.get_callexpr_kwarg(stmt.rvalue, "uselist")
+    collection_cls_arg: Optional[Expression] = util.get_callexpr_kwarg(
+        stmt.rvalue, "collection_class"
+    )
+    type_is_a_collection = False
+
+    # this can be used to determine Optional for a many-to-one
+    # in the same way nullable=False could be used, if we start supporting
+    # that.
+    # innerjoin_arg = util.get_callexpr_kwarg(stmt.rvalue, "innerjoin")
+
+    if (
+        uselist_arg is not None
+        and api.parse_bool(uselist_arg) is True
+        and collection_cls_arg is None
+    ):
+        type_is_a_collection = True
+        if python_type_for_type is not None:
+            python_type_for_type = api.named_type(
+                names.NAMED_TYPE_BUILTINS_LIST, [python_type_for_type]
+            )
+    elif (
+        uselist_arg is None or api.parse_bool(uselist_arg) is True
+    ) and collection_cls_arg is not None:
+        type_is_a_collection = True
+        if isinstance(collection_cls_arg, CallExpr):
+            collection_cls_arg = collection_cls_arg.callee
+
+        if isinstance(collection_cls_arg, NameExpr) and isinstance(
+            collection_cls_arg.node, TypeInfo
+        ):
+            if python_type_for_type is not None:
+                # this can still be overridden by the left hand side
+                # within _infer_Type_from_left_and_inferred_right
+                python_type_for_type = Instance(
+                    collection_cls_arg.node, [python_type_for_type]
+                )
+        elif (
+            isinstance(collection_cls_arg, NameExpr)
+            and isinstance(collection_cls_arg.node, FuncDef)
+            and collection_cls_arg.node.type is not None
+        ):
+            if python_type_for_type is not None:
+                # this can still be overridden by the left hand side
+                # within _infer_Type_from_left_and_inferred_right
+
+                # TODO: handle mypy.types.Overloaded
+                if isinstance(collection_cls_arg.node.type, CallableType):
+                    rt = get_proper_type(collection_cls_arg.node.type.ret_type)
+
+                    if isinstance(rt, CallableType):
+                        callable_ret_type = get_proper_type(rt.ret_type)
+                        if isinstance(callable_ret_type, Instance):
+                            python_type_for_type = Instance(
+                                callable_ret_type.type,
+                                [python_type_for_type],
+                            )
+        else:
+            util.fail(
+                api,
+                "Expected Python collection type for "
+                "collection_class parameter",
+                stmt.rvalue,
+            )
+            python_type_for_type = None
+    elif uselist_arg is not None and api.parse_bool(uselist_arg) is False:
+        if collection_cls_arg is not None:
+            util.fail(
+                api,
+                "Sending uselist=False and collection_class at the same time "
+                "does not make sense",
+                stmt.rvalue,
+            )
+        if python_type_for_type is not None:
+            python_type_for_type = UnionType(
+                [python_type_for_type, NoneType()]
+            )
+
+    else:
+        if left_hand_explicit_type is None:
+            msg = (
+                "Can't infer scalar or collection for ORM mapped expression "
+                "assigned to attribute '{}' if both 'uselist' and "
+                "'collection_class' arguments are absent from the "
+                "relationship(); please specify a "
+                "type annotation on the left hand side."
+            )
+            util.fail(api, msg.format(node.name), node)
+
+    if python_type_for_type is None:
+        return infer_type_from_left_hand_type_only(
+            api, node, left_hand_explicit_type
+        )
+    elif left_hand_explicit_type is not None:
+        if type_is_a_collection:
+            assert isinstance(left_hand_explicit_type, Instance)
+            assert isinstance(python_type_for_type, Instance)
+            return _infer_collection_type_from_left_and_inferred_right(
+                api, node, left_hand_explicit_type, python_type_for_type
+            )
+        else:
+            return _infer_type_from_left_and_inferred_right(
+                api,
+                node,
+                left_hand_explicit_type,
+                python_type_for_type,
+            )
+    else:
+        return python_type_for_type
+
+
+def _infer_type_from_decl_composite_property(
+    api: SemanticAnalyzerPluginInterface,
+    stmt: AssignmentStmt,
+    node: Var,
+    left_hand_explicit_type: Optional[ProperType],
+) -> Optional[ProperType]:
+    """Infer the type of mapping from a Composite."""
+
+    assert isinstance(stmt.rvalue, CallExpr)
+    target_cls_arg = stmt.rvalue.args[0]
+    python_type_for_type = None
+
+    if isinstance(target_cls_arg, NameExpr) and isinstance(
+        target_cls_arg.node, TypeInfo
+    ):
+        related_object_type = target_cls_arg.node
+        python_type_for_type = Instance(related_object_type, [])
+    else:
+        python_type_for_type = None
+
+    if python_type_for_type is None:
+        return infer_type_from_left_hand_type_only(
+            api, node, left_hand_explicit_type
+        )
+    elif left_hand_explicit_type is not None:
+        return _infer_type_from_left_and_inferred_right(
+            api, node, left_hand_explicit_type, python_type_for_type
+        )
+    else:
+        return python_type_for_type
+
+
+def _infer_type_from_mapped(
+    api: SemanticAnalyzerPluginInterface,
+    stmt: AssignmentStmt,
+    node: Var,
+    left_hand_explicit_type: Optional[ProperType],
+    infer_from_right_side: RefExpr,
+) -> Optional[ProperType]:
+    """Infer the type of mapping from a right side expression
+    that returns Mapped.
+
+
+    """
+    assert isinstance(stmt.rvalue, CallExpr)
+
+    # (Pdb) print(stmt.rvalue.callee)
+    # NameExpr(query_expression [sqlalchemy.orm._orm_constructors.query_expression])  # noqa: E501
+    # (Pdb) stmt.rvalue.callee.node
+    # <mypy.nodes.FuncDef object at 0x7f8d92fb5940>
+    # (Pdb) stmt.rvalue.callee.node.type
+    # def [_T] (default_expr: sqlalchemy.sql.elements.ColumnElement[_T`-1] =) -> sqlalchemy.orm.base.Mapped[_T`-1]  # noqa: E501
+    # sqlalchemy.orm.base.Mapped[_T`-1]
+    # the_mapped_type = stmt.rvalue.callee.node.type.ret_type
+
+    # TODO: look at generic ref and either use that,
+    # or reconcile w/ what's present, etc.
+    the_mapped_type = util.type_for_callee(infer_from_right_side)  # noqa
+
+    return infer_type_from_left_hand_type_only(
+        api, node, left_hand_explicit_type
+    )
+
+
+def _infer_type_from_decl_column_property(
+    api: SemanticAnalyzerPluginInterface,
+    stmt: AssignmentStmt,
+    node: Var,
+    left_hand_explicit_type: Optional[ProperType],
+) -> Optional[ProperType]:
+    """Infer the type of mapping from a ColumnProperty.
+
+    This includes mappings against ``column_property()`` as well as the
+    ``deferred()`` function.
+
+    """
+    assert isinstance(stmt.rvalue, CallExpr)
+
+    if stmt.rvalue.args:
+        first_prop_arg = stmt.rvalue.args[0]
+
+        if isinstance(first_prop_arg, CallExpr):
+            type_id = names.type_id_for_callee(first_prop_arg.callee)
+
+            # look for column_property() / deferred() etc with Column as first
+            # argument
+            if type_id is names.COLUMN:
+                return _infer_type_from_decl_column(
+                    api,
+                    stmt,
+                    node,
+                    left_hand_explicit_type,
+                    right_hand_expression=first_prop_arg,
+                )
+
+    if isinstance(stmt.rvalue, CallExpr):
+        type_id = names.type_id_for_callee(stmt.rvalue.callee)
+        # this is probably not strictly necessary as we have to use the left
+        # hand type for query expression in any case.  any other no-arg
+        # column prop objects would go here also
+        if type_id is names.QUERY_EXPRESSION:
+            return _infer_type_from_decl_column(
+                api,
+                stmt,
+                node,
+                left_hand_explicit_type,
+            )
+
+    return infer_type_from_left_hand_type_only(
+        api, node, left_hand_explicit_type
+    )
+
+
+def _infer_type_from_decl_column(
+    api: SemanticAnalyzerPluginInterface,
+    stmt: AssignmentStmt,
+    node: Var,
+    left_hand_explicit_type: Optional[ProperType],
+    right_hand_expression: Optional[CallExpr] = None,
+) -> Optional[ProperType]:
+    """Infer the type of mapping from a Column.
+
+    E.g.::
+
+        @reg.mapped
+        class MyClass:
+            # ...
+
+            a = Column(Integer)
+
+            b = Column("b", String)
+
+            c: Mapped[int] = Column(Integer)
+
+            d: bool = Column(Boolean)
+
+    Will resolve in MyPy as::
+
+        @reg.mapped
+        class MyClass:
+            # ...
+
+            a : Mapped[int]
+
+            b : Mapped[str]
+
+            c: Mapped[int]
+
+            d: Mapped[bool]
+
+    """
+    assert isinstance(node, Var)
+
+    callee = None
+
+    if right_hand_expression is None:
+        if not isinstance(stmt.rvalue, CallExpr):
+            return None
+
+        right_hand_expression = stmt.rvalue
+
+    for column_arg in right_hand_expression.args[0:2]:
+        if isinstance(column_arg, CallExpr):
+            if isinstance(column_arg.callee, RefExpr):
+                # x = Column(String(50))
+                callee = column_arg.callee
+                type_args: Sequence[Expression] = column_arg.args
+                break
+        elif isinstance(column_arg, (NameExpr, MemberExpr)):
+            if isinstance(column_arg.node, TypeInfo):
+                # x = Column(String)
+                callee = column_arg
+                type_args = ()
+                break
+            else:
+                # x = Column(some_name, String), go to next argument
+                continue
+        elif isinstance(column_arg, (StrExpr,)):
+            # x = Column("name", String), go to next argument
+            continue
+        elif isinstance(column_arg, (LambdaExpr,)):
+            # x = Column("name", String, default=lambda: uuid.uuid4())
+            # go to next argument
+            continue
+        else:
+            assert False
+
+    if callee is None:
+        return None
+
+    if isinstance(callee.node, TypeInfo) and names.mro_has_id(
+        callee.node.mro, names.TYPEENGINE
+    ):
+        python_type_for_type = extract_python_type_from_typeengine(
+            api, callee.node, type_args
+        )
+
+        if left_hand_explicit_type is not None:
+            return _infer_type_from_left_and_inferred_right(
+                api, node, left_hand_explicit_type, python_type_for_type
+            )
+
+        else:
+            return UnionType([python_type_for_type, NoneType()])
+    else:
+        # it's not TypeEngine, it's typically implicitly typed
+        # like ForeignKey.  we can't infer from the right side.
+        return infer_type_from_left_hand_type_only(
+            api, node, left_hand_explicit_type
+        )
+
+
+def _infer_type_from_left_and_inferred_right(
+    api: SemanticAnalyzerPluginInterface,
+    node: Var,
+    left_hand_explicit_type: ProperType,
+    python_type_for_type: ProperType,
+    orig_left_hand_type: Optional[ProperType] = None,
+    orig_python_type_for_type: Optional[ProperType] = None,
+) -> Optional[ProperType]:
+    """Validate type when a left hand annotation is present and we also
+    could infer the right hand side::
+
+        attrname: SomeType = Column(SomeDBType)
+
+    """
+
+    if orig_left_hand_type is None:
+        orig_left_hand_type = left_hand_explicit_type
+    if orig_python_type_for_type is None:
+        orig_python_type_for_type = python_type_for_type
+
+    if not is_subtype(left_hand_explicit_type, python_type_for_type):
+        effective_type = api.named_type(
+            names.NAMED_TYPE_SQLA_MAPPED, [orig_python_type_for_type]
+        )
+
+        msg = (
+            "Left hand assignment '{}: {}' not compatible "
+            "with ORM mapped expression of type {}"
+        )
+        util.fail(
+            api,
+            msg.format(
+                node.name,
+                util.format_type(orig_left_hand_type, api.options),
+                util.format_type(effective_type, api.options),
+            ),
+            node,
+        )
+
+    return orig_left_hand_type
+
+
+def _infer_collection_type_from_left_and_inferred_right(
+    api: SemanticAnalyzerPluginInterface,
+    node: Var,
+    left_hand_explicit_type: Instance,
+    python_type_for_type: Instance,
+) -> Optional[ProperType]:
+    orig_left_hand_type = left_hand_explicit_type
+    orig_python_type_for_type = python_type_for_type
+
+    if left_hand_explicit_type.args:
+        left_hand_arg = get_proper_type(left_hand_explicit_type.args[0])
+        python_type_arg = get_proper_type(python_type_for_type.args[0])
+    else:
+        left_hand_arg = left_hand_explicit_type
+        python_type_arg = python_type_for_type
+
+    assert isinstance(left_hand_arg, (Instance, UnionType))
+    assert isinstance(python_type_arg, (Instance, UnionType))
+
+    return _infer_type_from_left_and_inferred_right(
+        api,
+        node,
+        left_hand_arg,
+        python_type_arg,
+        orig_left_hand_type=orig_left_hand_type,
+        orig_python_type_for_type=orig_python_type_for_type,
+    )
+
+
+def infer_type_from_left_hand_type_only(
+    api: SemanticAnalyzerPluginInterface,
+    node: Var,
+    left_hand_explicit_type: Optional[ProperType],
+) -> Optional[ProperType]:
+    """Determine the type based on explicit annotation only.
+
+    if no annotation were present, note that we need one there to know
+    the type.
+
+    """
+    if left_hand_explicit_type is None:
+        msg = (
+            "Can't infer type from ORM mapped expression "
+            "assigned to attribute '{}'; please specify a "
+            "Python type or "
+            "Mapped[<python type>] on the left hand side."
+        )
+        util.fail(api, msg.format(node.name), node)
+
+        return api.named_type(
+            names.NAMED_TYPE_SQLA_MAPPED, [AnyType(TypeOfAny.special_form)]
+        )
+
+    else:
+        # use type from the left hand side
+        return left_hand_explicit_type
+
+
+def extract_python_type_from_typeengine(
+    api: SemanticAnalyzerPluginInterface,
+    node: TypeInfo,
+    type_args: Sequence[Expression],
+) -> ProperType:
+    if node.fullname == "sqlalchemy.sql.sqltypes.Enum" and type_args:
+        first_arg = type_args[0]
+        if isinstance(first_arg, RefExpr) and isinstance(
+            first_arg.node, TypeInfo
+        ):
+            for base_ in first_arg.node.mro:
+                if base_.fullname == "enum.Enum":
+                    return Instance(first_arg.node, [])
+            # TODO: support other pep-435 types here
+        else:
+            return api.named_type(names.NAMED_TYPE_BUILTINS_STR, [])
+
+    assert node.has_base("sqlalchemy.sql.type_api.TypeEngine"), (
+        "could not extract Python type from node: %s" % node
+    )
+
+    type_engine_sym = api.lookup_fully_qualified_or_none(
+        "sqlalchemy.sql.type_api.TypeEngine"
+    )
+
+    assert type_engine_sym is not None and isinstance(
+        type_engine_sym.node, TypeInfo
+    )
+    type_engine = map_instance_to_supertype(
+        Instance(node, []),
+        type_engine_sym.node,
+    )
+    return get_proper_type(type_engine.args[-1])

elitebot/lib/python3.11/site-packages/sqlalchemy/ext/mypy/names.py

@@ -0,0 +1,342 @@
+# ext/mypy/names.py
+# Copyright (C) 2021-2024 the SQLAlchemy authors and contributors
+# <see AUTHORS file>
+#
+# This module is part of SQLAlchemy and is released under
+# the MIT License: https://www.opensource.org/licenses/mit-license.php
+
+from __future__ import annotations
+
+from typing import Dict
+from typing import List
+from typing import Optional
+from typing import Set
+from typing import Tuple
+from typing import Union
+
+from mypy.nodes import ARG_POS
+from mypy.nodes import CallExpr
+from mypy.nodes import ClassDef
+from mypy.nodes import Decorator
+from mypy.nodes import Expression
+from mypy.nodes import FuncDef
+from mypy.nodes import MemberExpr
+from mypy.nodes import NameExpr
+from mypy.nodes import OverloadedFuncDef
+from mypy.nodes import SymbolNode
+from mypy.nodes import TypeAlias
+from mypy.nodes import TypeInfo
+from mypy.plugin import SemanticAnalyzerPluginInterface
+from mypy.types import CallableType
+from mypy.types import get_proper_type
+from mypy.types import Instance
+from mypy.types import UnboundType
+
+from ... import util
+
+COLUMN: int = util.symbol("COLUMN")
+RELATIONSHIP: int = util.symbol("RELATIONSHIP")
+REGISTRY: int = util.symbol("REGISTRY")
+COLUMN_PROPERTY: int = util.symbol("COLUMN_PROPERTY")
+TYPEENGINE: int = util.symbol("TYPEENGNE")
+MAPPED: int = util.symbol("MAPPED")
+DECLARATIVE_BASE: int = util.symbol("DECLARATIVE_BASE")
+DECLARATIVE_META: int = util.symbol("DECLARATIVE_META")
+MAPPED_DECORATOR: int = util.symbol("MAPPED_DECORATOR")
+SYNONYM_PROPERTY: int = util.symbol("SYNONYM_PROPERTY")
+COMPOSITE_PROPERTY: int = util.symbol("COMPOSITE_PROPERTY")
+DECLARED_ATTR: int = util.symbol("DECLARED_ATTR")
+MAPPER_PROPERTY: int = util.symbol("MAPPER_PROPERTY")
+AS_DECLARATIVE: int = util.symbol("AS_DECLARATIVE")
+AS_DECLARATIVE_BASE: int = util.symbol("AS_DECLARATIVE_BASE")
+DECLARATIVE_MIXIN: int = util.symbol("DECLARATIVE_MIXIN")
+QUERY_EXPRESSION: int = util.symbol("QUERY_EXPRESSION")
+
+# names that must succeed with mypy.api.named_type
+NAMED_TYPE_BUILTINS_OBJECT = "builtins.object"
+NAMED_TYPE_BUILTINS_STR = "builtins.str"
+NAMED_TYPE_BUILTINS_LIST = "builtins.list"
+NAMED_TYPE_SQLA_MAPPED = "sqlalchemy.orm.base.Mapped"
+
+_lookup: Dict[str, Tuple[int, Set[str]]] = {
+    "Column": (
+        COLUMN,
+        {
+            "sqlalchemy.sql.schema.Column",
+            "sqlalchemy.sql.Column",
+        },
+    ),
+    "Relationship": (
+        RELATIONSHIP,
+        {
+            "sqlalchemy.orm.relationships.Relationship",
+            "sqlalchemy.orm.relationships.RelationshipProperty",
+            "sqlalchemy.orm.Relationship",
+            "sqlalchemy.orm.RelationshipProperty",
+        },
+    ),
+    "RelationshipProperty": (
+        RELATIONSHIP,
+        {
+            "sqlalchemy.orm.relationships.Relationship",
+            "sqlalchemy.orm.relationships.RelationshipProperty",
+            "sqlalchemy.orm.Relationship",
+            "sqlalchemy.orm.RelationshipProperty",
+        },
+    ),
+    "registry": (
+        REGISTRY,
+        {
+            "sqlalchemy.orm.decl_api.registry",
+            "sqlalchemy.orm.registry",
+        },
+    ),
+    "ColumnProperty": (
+        COLUMN_PROPERTY,
+        {
+            "sqlalchemy.orm.properties.MappedSQLExpression",
+            "sqlalchemy.orm.MappedSQLExpression",
+            "sqlalchemy.orm.properties.ColumnProperty",
+            "sqlalchemy.orm.ColumnProperty",
+        },
+    ),
+    "MappedSQLExpression": (
+        COLUMN_PROPERTY,
+        {
+            "sqlalchemy.orm.properties.MappedSQLExpression",
+            "sqlalchemy.orm.MappedSQLExpression",
+            "sqlalchemy.orm.properties.ColumnProperty",
+            "sqlalchemy.orm.ColumnProperty",
+        },
+    ),
+    "Synonym": (
+        SYNONYM_PROPERTY,
+        {
+            "sqlalchemy.orm.descriptor_props.Synonym",
+            "sqlalchemy.orm.Synonym",
+            "sqlalchemy.orm.descriptor_props.SynonymProperty",
+            "sqlalchemy.orm.SynonymProperty",
+        },
+    ),
+    "SynonymProperty": (
+        SYNONYM_PROPERTY,
+        {
+            "sqlalchemy.orm.descriptor_props.Synonym",
+            "sqlalchemy.orm.Synonym",
+            "sqlalchemy.orm.descriptor_props.SynonymProperty",
+            "sqlalchemy.orm.SynonymProperty",
+        },
+    ),
+    "Composite": (
+        COMPOSITE_PROPERTY,
+        {
+            "sqlalchemy.orm.descriptor_props.Composite",
+            "sqlalchemy.orm.Composite",
+            "sqlalchemy.orm.descriptor_props.CompositeProperty",
+            "sqlalchemy.orm.CompositeProperty",
+        },
+    ),
+    "CompositeProperty": (
+        COMPOSITE_PROPERTY,
+        {
+            "sqlalchemy.orm.descriptor_props.Composite",
+            "sqlalchemy.orm.Composite",
+            "sqlalchemy.orm.descriptor_props.CompositeProperty",
+            "sqlalchemy.orm.CompositeProperty",
+        },
+    ),
+    "MapperProperty": (
+        MAPPER_PROPERTY,
+        {
+            "sqlalchemy.orm.interfaces.MapperProperty",
+            "sqlalchemy.orm.MapperProperty",
+        },
+    ),
+    "TypeEngine": (TYPEENGINE, {"sqlalchemy.sql.type_api.TypeEngine"}),
+    "Mapped": (MAPPED, {NAMED_TYPE_SQLA_MAPPED}),
+    "declarative_base": (
+        DECLARATIVE_BASE,
+        {
+            "sqlalchemy.ext.declarative.declarative_base",
+            "sqlalchemy.orm.declarative_base",
+            "sqlalchemy.orm.decl_api.declarative_base",
+        },
+    ),
+    "DeclarativeMeta": (
+        DECLARATIVE_META,
+        {
+            "sqlalchemy.ext.declarative.DeclarativeMeta",
+            "sqlalchemy.orm.DeclarativeMeta",
+            "sqlalchemy.orm.decl_api.DeclarativeMeta",
+        },
+    ),
+    "mapped": (
+        MAPPED_DECORATOR,
+        {
+            "sqlalchemy.orm.decl_api.registry.mapped",
+            "sqlalchemy.orm.registry.mapped",
+        },
+    ),
+    "as_declarative": (
+        AS_DECLARATIVE,
+        {
+            "sqlalchemy.ext.declarative.as_declarative",
+            "sqlalchemy.orm.decl_api.as_declarative",
+            "sqlalchemy.orm.as_declarative",
+        },
+    ),
+    "as_declarative_base": (
+        AS_DECLARATIVE_BASE,
+        {
+            "sqlalchemy.orm.decl_api.registry.as_declarative_base",
+            "sqlalchemy.orm.registry.as_declarative_base",
+        },
+    ),
+    "declared_attr": (
+        DECLARED_ATTR,
+        {
+            "sqlalchemy.orm.decl_api.declared_attr",
+            "sqlalchemy.orm.declared_attr",
+        },
+    ),
+    "declarative_mixin": (
+        DECLARATIVE_MIXIN,
+        {
+            "sqlalchemy.orm.decl_api.declarative_mixin",
+            "sqlalchemy.orm.declarative_mixin",
+        },
+    ),
+    "query_expression": (
+        QUERY_EXPRESSION,
+        {
+            "sqlalchemy.orm.query_expression",
+            "sqlalchemy.orm._orm_constructors.query_expression",
+        },
+    ),
+}
+
+
+def has_base_type_id(info: TypeInfo, type_id: int) -> bool:
+    for mr in info.mro:
+        check_type_id, fullnames = _lookup.get(mr.name, (None, None))
+        if check_type_id == type_id:
+            break
+    else:
+        return False
+
+    if fullnames is None:
+        return False
+
+    return mr.fullname in fullnames
+
+
+def mro_has_id(mro: List[TypeInfo], type_id: int) -> bool:
+    for mr in mro:
+        check_type_id, fullnames = _lookup.get(mr.name, (None, None))
+        if check_type_id == type_id:
+            break
+    else:
+        return False
+
+    if fullnames is None:
+        return False
+
+    return mr.fullname in fullnames
+
+
+def type_id_for_unbound_type(
+    type_: UnboundType, cls: ClassDef, api: SemanticAnalyzerPluginInterface
+) -> Optional[int]:
+    sym = api.lookup_qualified(type_.name, type_)
+    if sym is not None:
+        if isinstance(sym.node, TypeAlias):
+            target_type = get_proper_type(sym.node.target)
+            if isinstance(target_type, Instance):
+                return type_id_for_named_node(target_type.type)
+        elif isinstance(sym.node, TypeInfo):
+            return type_id_for_named_node(sym.node)
+
+    return None
+
+
+def type_id_for_callee(callee: Expression) -> Optional[int]:
+    if isinstance(callee, (MemberExpr, NameExpr)):
+        if isinstance(callee.node, Decorator) and isinstance(
+            callee.node.func, FuncDef
+        ):
+            if callee.node.func.type and isinstance(
+                callee.node.func.type, CallableType
+            ):
+                ret_type = get_proper_type(callee.node.func.type.ret_type)
+
+                if isinstance(ret_type, Instance):
+                    return type_id_for_fullname(ret_type.type.fullname)
+
+            return None
+
+        elif isinstance(callee.node, OverloadedFuncDef):
+            if (
+                callee.node.impl
+                and callee.node.impl.type
+                and isinstance(callee.node.impl.type, CallableType)
+            ):
+                ret_type = get_proper_type(callee.node.impl.type.ret_type)
+
+                if isinstance(ret_type, Instance):
+                    return type_id_for_fullname(ret_type.type.fullname)
+
+            return None
+        elif isinstance(callee.node, FuncDef):
+            if callee.node.type and isinstance(callee.node.type, CallableType):
+                ret_type = get_proper_type(callee.node.type.ret_type)
+
+                if isinstance(ret_type, Instance):
+                    return type_id_for_fullname(ret_type.type.fullname)
+
+            return None
+        elif isinstance(callee.node, TypeAlias):
+            target_type = get_proper_type(callee.node.target)
+            if isinstance(target_type, Instance):
+                return type_id_for_fullname(target_type.type.fullname)
+        elif isinstance(callee.node, TypeInfo):
+            return type_id_for_named_node(callee)
+    return None
+
+
+def type_id_for_named_node(
+    node: Union[NameExpr, MemberExpr, SymbolNode]
+) -> Optional[int]:
+    type_id, fullnames = _lookup.get(node.name, (None, None))
+
+    if type_id is None or fullnames is None:
+        return None
+    elif node.fullname in fullnames:
+        return type_id
+    else:
+        return None
+
+
+def type_id_for_fullname(fullname: str) -> Optional[int]:
+    tokens = fullname.split(".")
+    immediate = tokens[-1]
+
+    type_id, fullnames = _lookup.get(immediate, (None, None))
+
+    if type_id is None or fullnames is None:
+        return None
+    elif fullname in fullnames:
+        return type_id
+    else:
+        return None
+
+
+def expr_to_mapped_constructor(expr: Expression) -> CallExpr:
+    column_descriptor = NameExpr("__sa_Mapped")
+    column_descriptor.fullname = NAMED_TYPE_SQLA_MAPPED
+    member_expr = MemberExpr(column_descriptor, "_empty_constructor")
+    return CallExpr(
+        member_expr,
+        [expr],
+        [ARG_POS],
+        ["arg1"],
+    )

elitebot/lib/python3.11/site-packages/sqlalchemy/ext/mypy/plugin.py

@@ -0,0 +1,303 @@
+# ext/mypy/plugin.py
+# Copyright (C) 2021-2024 the SQLAlchemy authors and contributors
+# <see AUTHORS file>
+#
+# This module is part of SQLAlchemy and is released under
+# the MIT License: https://www.opensource.org/licenses/mit-license.php
+
+"""
+Mypy plugin for SQLAlchemy ORM.
+
+"""
+from __future__ import annotations
+
+from typing import Callable
+from typing import List
+from typing import Optional
+from typing import Tuple
+from typing import Type as TypingType
+from typing import Union
+
+from mypy import nodes
+from mypy.mro import calculate_mro
+from mypy.mro import MroError
+from mypy.nodes import Block
+from mypy.nodes import ClassDef
+from mypy.nodes import GDEF
+from mypy.nodes import MypyFile
+from mypy.nodes import NameExpr
+from mypy.nodes import SymbolTable
+from mypy.nodes import SymbolTableNode
+from mypy.nodes import TypeInfo
+from mypy.plugin import AttributeContext
+from mypy.plugin import ClassDefContext
+from mypy.plugin import DynamicClassDefContext
+from mypy.plugin import Plugin
+from mypy.plugin import SemanticAnalyzerPluginInterface
+from mypy.types import get_proper_type
+from mypy.types import Instance
+from mypy.types import Type
+
+from . import decl_class
+from . import names
+from . import util
+
+try:
+    __import__("sqlalchemy-stubs")
+except ImportError:
+    pass
+else:
+    raise ImportError(
+        "The SQLAlchemy mypy plugin in SQLAlchemy "
+        "2.0 does not work with sqlalchemy-stubs or "
+        "sqlalchemy2-stubs installed, as well as with any other third party "
+        "SQLAlchemy stubs.  Please uninstall all SQLAlchemy stubs "
+        "packages."
+    )
+
+
+class SQLAlchemyPlugin(Plugin):
+    def get_dynamic_class_hook(
+        self, fullname: str
+    ) -> Optional[Callable[[DynamicClassDefContext], None]]:
+        if names.type_id_for_fullname(fullname) is names.DECLARATIVE_BASE:
+            return _dynamic_class_hook
+        return None
+
+    def get_customize_class_mro_hook(
+        self, fullname: str
+    ) -> Optional[Callable[[ClassDefContext], None]]:
+        return _fill_in_decorators
+
+    def get_class_decorator_hook(
+        self, fullname: str
+    ) -> Optional[Callable[[ClassDefContext], None]]:
+        sym = self.lookup_fully_qualified(fullname)
+
+        if sym is not None and sym.node is not None:
+            type_id = names.type_id_for_named_node(sym.node)
+            if type_id is names.MAPPED_DECORATOR:
+                return _cls_decorator_hook
+            elif type_id in (
+                names.AS_DECLARATIVE,
+                names.AS_DECLARATIVE_BASE,
+            ):
+                return _base_cls_decorator_hook
+            elif type_id is names.DECLARATIVE_MIXIN:
+                return _declarative_mixin_hook
+
+        return None
+
+    def get_metaclass_hook(
+        self, fullname: str
+    ) -> Optional[Callable[[ClassDefContext], None]]:
+        if names.type_id_for_fullname(fullname) is names.DECLARATIVE_META:
+            # Set any classes that explicitly have metaclass=DeclarativeMeta
+            # as declarative so the check in `get_base_class_hook()` works
+            return _metaclass_cls_hook
+
+        return None
+
+    def get_base_class_hook(
+        self, fullname: str
+    ) -> Optional[Callable[[ClassDefContext], None]]:
+        sym = self.lookup_fully_qualified(fullname)
+
+        if (
+            sym
+            and isinstance(sym.node, TypeInfo)
+            and util.has_declarative_base(sym.node)
+        ):
+            return _base_cls_hook
+
+        return None
+
+    def get_attribute_hook(
+        self, fullname: str
+    ) -> Optional[Callable[[AttributeContext], Type]]:
+        if fullname.startswith(
+            "sqlalchemy.orm.attributes.QueryableAttribute."
+        ):
+            return _queryable_getattr_hook
+
+        return None
+
+    def get_additional_deps(
+        self, file: MypyFile
+    ) -> List[Tuple[int, str, int]]:
+        return [
+            #
+            (10, "sqlalchemy.orm", -1),
+            (10, "sqlalchemy.orm.attributes", -1),
+            (10, "sqlalchemy.orm.decl_api", -1),
+        ]
+
+
+def plugin(version: str) -> TypingType[SQLAlchemyPlugin]:
+    return SQLAlchemyPlugin
+
+
+def _dynamic_class_hook(ctx: DynamicClassDefContext) -> None:
+    """Generate a declarative Base class when the declarative_base() function
+    is encountered."""
+
+    _add_globals(ctx)
+
+    cls = ClassDef(ctx.name, Block([]))
+    cls.fullname = ctx.api.qualified_name(ctx.name)
+
+    info = TypeInfo(SymbolTable(), cls, ctx.api.cur_mod_id)
+    cls.info = info
+    _set_declarative_metaclass(ctx.api, cls)
+
+    cls_arg = util.get_callexpr_kwarg(ctx.call, "cls", expr_types=(NameExpr,))
+    if cls_arg is not None and isinstance(cls_arg.node, TypeInfo):
+        util.set_is_base(cls_arg.node)
+        decl_class.scan_declarative_assignments_and_apply_types(
+            cls_arg.node.defn, ctx.api, is_mixin_scan=True
+        )
+        info.bases = [Instance(cls_arg.node, [])]
+    else:
+        obj = ctx.api.named_type(names.NAMED_TYPE_BUILTINS_OBJECT)
+
+        info.bases = [obj]
+
+    try:
+        calculate_mro(info)
+    except MroError:
+        util.fail(
+            ctx.api, "Not able to calculate MRO for declarative base", ctx.call
+        )
+        obj = ctx.api.named_type(names.NAMED_TYPE_BUILTINS_OBJECT)
+        info.bases = [obj]
+        info.fallback_to_any = True
+
+    ctx.api.add_symbol_table_node(ctx.name, SymbolTableNode(GDEF, info))
+    util.set_is_base(info)
+
+
+def _fill_in_decorators(ctx: ClassDefContext) -> None:
+    for decorator in ctx.cls.decorators:
+        # set the ".fullname" attribute of a class decorator
+        # that is a MemberExpr.   This causes the logic in
+        # semanal.py->apply_class_plugin_hooks to invoke the
+        # get_class_decorator_hook for our "registry.map_class()"
+        # and "registry.as_declarative_base()" methods.
+        # this seems like a bug in mypy that these decorators are otherwise
+        # skipped.
+
+        if (
+            isinstance(decorator, nodes.CallExpr)
+            and isinstance(decorator.callee, nodes.MemberExpr)
+            and decorator.callee.name == "as_declarative_base"
+        ):
+            target = decorator.callee
+        elif (
+            isinstance(decorator, nodes.MemberExpr)
+            and decorator.name == "mapped"
+        ):
+            target = decorator
+        else:
+            continue
+
+        if isinstance(target.expr, NameExpr):
+            sym = ctx.api.lookup_qualified(
+                target.expr.name, target, suppress_errors=True
+            )
+        else:
+            continue
+
+        if sym and sym.node:
+            sym_type = get_proper_type(sym.type)
+            if isinstance(sym_type, Instance):
+                target.fullname = f"{sym_type.type.fullname}.{target.name}"
+            else:
+                # if the registry is in the same file as where the
+                # decorator is used, it might not have semantic
+                # symbols applied and we can't get a fully qualified
+                # name or an inferred type, so we are actually going to
+                # flag an error in this case that they need to annotate
+                # it.  The "registry" is declared just
+                # once (or few times), so they have to just not use
+                # type inference for its assignment in this one case.
+                util.fail(
+                    ctx.api,
+                    "Class decorator called %s(), but we can't "
+                    "tell if it's from an ORM registry.  Please "
+                    "annotate the registry assignment, e.g. "
+                    "my_registry: registry = registry()" % target.name,
+                    sym.node,
+                )
+
+
+def _cls_decorator_hook(ctx: ClassDefContext) -> None:
+    _add_globals(ctx)
+    assert isinstance(ctx.reason, nodes.MemberExpr)
+    expr = ctx.reason.expr
+
+    assert isinstance(expr, nodes.RefExpr) and isinstance(expr.node, nodes.Var)
+
+    node_type = get_proper_type(expr.node.type)
+
+    assert (
+        isinstance(node_type, Instance)
+        and names.type_id_for_named_node(node_type.type) is names.REGISTRY
+    )
+
+    decl_class.scan_declarative_assignments_and_apply_types(ctx.cls, ctx.api)
+
+
+def _base_cls_decorator_hook(ctx: ClassDefContext) -> None:
+    _add_globals(ctx)
+
+    cls = ctx.cls
+
+    _set_declarative_metaclass(ctx.api, cls)
+
+    util.set_is_base(ctx.cls.info)
+    decl_class.scan_declarative_assignments_and_apply_types(
+        cls, ctx.api, is_mixin_scan=True
+    )
+
+
+def _declarative_mixin_hook(ctx: ClassDefContext) -> None:
+    _add_globals(ctx)
+    util.set_is_base(ctx.cls.info)
+    decl_class.scan_declarative_assignments_and_apply_types(
+        ctx.cls, ctx.api, is_mixin_scan=True
+    )
+
+
+def _metaclass_cls_hook(ctx: ClassDefContext) -> None:
+    util.set_is_base(ctx.cls.info)
+
+
+def _base_cls_hook(ctx: ClassDefContext) -> None:
+    _add_globals(ctx)
+    decl_class.scan_declarative_assignments_and_apply_types(ctx.cls, ctx.api)
+
+
+def _queryable_getattr_hook(ctx: AttributeContext) -> Type:
+    # how do I....tell it it has no attribute of a certain name?
+    # can't find any Type that seems to match that
+    return ctx.default_attr_type
+
+
+def _add_globals(ctx: Union[ClassDefContext, DynamicClassDefContext]) -> None:
+    """Add __sa_DeclarativeMeta and __sa_Mapped symbol to the global space
+    for all class defs
+
+    """
+
+    util.add_global(ctx, "sqlalchemy.orm", "Mapped", "__sa_Mapped")
+
+
+def _set_declarative_metaclass(
+    api: SemanticAnalyzerPluginInterface, target_cls: ClassDef
+) -> None:
+    info = target_cls.info
+    sym = api.lookup_fully_qualified_or_none(
+        "sqlalchemy.orm.decl_api.DeclarativeMeta"
+    )
+    assert sym is not None and isinstance(sym.node, TypeInfo)
+    info.declared_metaclass = info.metaclass_type = Instance(sym.node, [])

elitebot/lib/python3.11/site-packages/sqlalchemy/ext/mypy/util.py

@@ -0,0 +1,338 @@
+# ext/mypy/util.py
+# Copyright (C) 2021-2024 the SQLAlchemy authors and contributors
+# <see AUTHORS file>
+#
+# This module is part of SQLAlchemy and is released under
+# the MIT License: https://www.opensource.org/licenses/mit-license.php
+
+from __future__ import annotations
+
+import re
+from typing import Any
+from typing import Iterable
+from typing import Iterator
+from typing import List
+from typing import Optional
+from typing import overload
+from typing import Tuple
+from typing import Type as TypingType
+from typing import TypeVar
+from typing import Union
+
+from mypy import version
+from mypy.messages import format_type as _mypy_format_type
+from mypy.nodes import CallExpr
+from mypy.nodes import ClassDef
+from mypy.nodes import CLASSDEF_NO_INFO
+from mypy.nodes import Context
+from mypy.nodes import Expression
+from mypy.nodes import FuncDef
+from mypy.nodes import IfStmt
+from mypy.nodes import JsonDict
+from mypy.nodes import MemberExpr
+from mypy.nodes import NameExpr
+from mypy.nodes import Statement
+from mypy.nodes import SymbolTableNode
+from mypy.nodes import TypeAlias
+from mypy.nodes import TypeInfo
+from mypy.options import Options
+from mypy.plugin import ClassDefContext
+from mypy.plugin import DynamicClassDefContext
+from mypy.plugin import SemanticAnalyzerPluginInterface
+from mypy.plugins.common import deserialize_and_fixup_type
+from mypy.typeops import map_type_from_supertype
+from mypy.types import CallableType
+from mypy.types import get_proper_type
+from mypy.types import Instance
+from mypy.types import NoneType
+from mypy.types import Type
+from mypy.types import TypeVarType
+from mypy.types import UnboundType
+from mypy.types import UnionType
+
+_vers = tuple(
+    [int(x) for x in version.__version__.split(".") if re.match(r"^\d+$", x)]
+)
+mypy_14 = _vers >= (1, 4)
+
+
+_TArgType = TypeVar("_TArgType", bound=Union[CallExpr, NameExpr])
+
+
+class SQLAlchemyAttribute:
+    def __init__(
+        self,
+        name: str,
+        line: int,
+        column: int,
+        typ: Optional[Type],
+        info: TypeInfo,
+    ) -> None:
+        self.name = name
+        self.line = line
+        self.column = column
+        self.type = typ
+        self.info = info
+
+    def serialize(self) -> JsonDict:
+        assert self.type
+        return {
+            "name": self.name,
+            "line": self.line,
+            "column": self.column,
+            "type": self.type.serialize(),
+        }
+
+    def expand_typevar_from_subtype(self, sub_type: TypeInfo) -> None:
+        """Expands type vars in the context of a subtype when an attribute is
+        inherited from a generic super type.
+        """
+        if not isinstance(self.type, TypeVarType):
+            return
+
+        self.type = map_type_from_supertype(self.type, sub_type, self.info)
+
+    @classmethod
+    def deserialize(
+        cls,
+        info: TypeInfo,
+        data: JsonDict,
+        api: SemanticAnalyzerPluginInterface,
+    ) -> SQLAlchemyAttribute:
+        data = data.copy()
+        typ = deserialize_and_fixup_type(data.pop("type"), api)
+        return cls(typ=typ, info=info, **data)
+
+
+def name_is_dunder(name: str) -> bool:
+    return bool(re.match(r"^__.+?__$", name))
+
+
+def _set_info_metadata(info: TypeInfo, key: str, data: Any) -> None:
+    info.metadata.setdefault("sqlalchemy", {})[key] = data
+
+
+def _get_info_metadata(info: TypeInfo, key: str) -> Optional[Any]:
+    return info.metadata.get("sqlalchemy", {}).get(key, None)
+
+
+def _get_info_mro_metadata(info: TypeInfo, key: str) -> Optional[Any]:
+    if info.mro:
+        for base in info.mro:
+            metadata = _get_info_metadata(base, key)
+            if metadata is not None:
+                return metadata
+    return None
+
+
+def establish_as_sqlalchemy(info: TypeInfo) -> None:
+    info.metadata.setdefault("sqlalchemy", {})
+
+
+def set_is_base(info: TypeInfo) -> None:
+    _set_info_metadata(info, "is_base", True)
+
+
+def get_is_base(info: TypeInfo) -> bool:
+    is_base = _get_info_metadata(info, "is_base")
+    return is_base is True
+
+
+def has_declarative_base(info: TypeInfo) -> bool:
+    is_base = _get_info_mro_metadata(info, "is_base")
+    return is_base is True
+
+
+def set_has_table(info: TypeInfo) -> None:
+    _set_info_metadata(info, "has_table", True)
+
+
+def get_has_table(info: TypeInfo) -> bool:
+    is_base = _get_info_metadata(info, "has_table")
+    return is_base is True
+
+
+def get_mapped_attributes(
+    info: TypeInfo, api: SemanticAnalyzerPluginInterface
+) -> Optional[List[SQLAlchemyAttribute]]:
+    mapped_attributes: Optional[List[JsonDict]] = _get_info_metadata(
+        info, "mapped_attributes"
+    )
+    if mapped_attributes is None:
+        return None
+
+    attributes: List[SQLAlchemyAttribute] = []
+
+    for data in mapped_attributes:
+        attr = SQLAlchemyAttribute.deserialize(info, data, api)
+        attr.expand_typevar_from_subtype(info)
+        attributes.append(attr)
+
+    return attributes
+
+
+def format_type(typ_: Type, options: Options) -> str:
+    if mypy_14:
+        return _mypy_format_type(typ_, options)
+    else:
+        return _mypy_format_type(typ_)  # type: ignore
+
+
+def set_mapped_attributes(
+    info: TypeInfo, attributes: List[SQLAlchemyAttribute]
+) -> None:
+    _set_info_metadata(
+        info,
+        "mapped_attributes",
+        [attribute.serialize() for attribute in attributes],
+    )
+
+
+def fail(api: SemanticAnalyzerPluginInterface, msg: str, ctx: Context) -> None:
+    msg = "[SQLAlchemy Mypy plugin] %s" % msg
+    return api.fail(msg, ctx)
+
+
+def add_global(
+    ctx: Union[ClassDefContext, DynamicClassDefContext],
+    module: str,
+    symbol_name: str,
+    asname: str,
+) -> None:
+    module_globals = ctx.api.modules[ctx.api.cur_mod_id].names
+
+    if asname not in module_globals:
+        lookup_sym: SymbolTableNode = ctx.api.modules[module].names[
+            symbol_name
+        ]
+
+        module_globals[asname] = lookup_sym
+
+
+@overload
+def get_callexpr_kwarg(
+    callexpr: CallExpr, name: str, *, expr_types: None = ...
+) -> Optional[Union[CallExpr, NameExpr]]: ...
+
+
+@overload
+def get_callexpr_kwarg(
+    callexpr: CallExpr,
+    name: str,
+    *,
+    expr_types: Tuple[TypingType[_TArgType], ...],
+) -> Optional[_TArgType]: ...
+
+
+def get_callexpr_kwarg(
+    callexpr: CallExpr,
+    name: str,
+    *,
+    expr_types: Optional[Tuple[TypingType[Any], ...]] = None,
+) -> Optional[Any]:
+    try:
+        arg_idx = callexpr.arg_names.index(name)
+    except ValueError:
+        return None
+
+    kwarg = callexpr.args[arg_idx]
+    if isinstance(
+        kwarg, expr_types if expr_types is not None else (NameExpr, CallExpr)
+    ):
+        return kwarg
+
+    return None
+
+
+def flatten_typechecking(stmts: Iterable[Statement]) -> Iterator[Statement]:
+    for stmt in stmts:
+        if (
+            isinstance(stmt, IfStmt)
+            and isinstance(stmt.expr[0], NameExpr)
+            and stmt.expr[0].fullname == "typing.TYPE_CHECKING"
+        ):
+            yield from stmt.body[0].body
+        else:
+            yield stmt
+
+
+def type_for_callee(callee: Expression) -> Optional[Union[Instance, TypeInfo]]:
+    if isinstance(callee, (MemberExpr, NameExpr)):
+        if isinstance(callee.node, FuncDef):
+            if callee.node.type and isinstance(callee.node.type, CallableType):
+                ret_type = get_proper_type(callee.node.type.ret_type)
+
+                if isinstance(ret_type, Instance):
+                    return ret_type
+
+            return None
+        elif isinstance(callee.node, TypeAlias):
+            target_type = get_proper_type(callee.node.target)
+            if isinstance(target_type, Instance):
+                return target_type
+        elif isinstance(callee.node, TypeInfo):
+            return callee.node
+    return None
+
+
+def unbound_to_instance(
+    api: SemanticAnalyzerPluginInterface, typ: Type
+) -> Type:
+    """Take the UnboundType that we seem to get as the ret_type from a FuncDef
+    and convert it into an Instance/TypeInfo kind of structure that seems
+    to work as the left-hand type of an AssignmentStatement.
+
+    """
+
+    if not isinstance(typ, UnboundType):
+        return typ
+
+    # TODO: figure out a more robust way to check this.  The node is some
+    # kind of _SpecialForm, there's a typing.Optional that's _SpecialForm,
+    # but I can't figure out how to get them to match up
+    if typ.name == "Optional":
+        # convert from "Optional?" to the more familiar
+        # UnionType[..., NoneType()]
+        return unbound_to_instance(
+            api,
+            UnionType(
+                [unbound_to_instance(api, typ_arg) for typ_arg in typ.args]
+                + [NoneType()]
+            ),
+        )
+
+    node = api.lookup_qualified(typ.name, typ)
+
+    if (
+        node is not None
+        and isinstance(node, SymbolTableNode)
+        and isinstance(node.node, TypeInfo)
+    ):
+        bound_type = node.node
+
+        return Instance(
+            bound_type,
+            [
+                (
+                    unbound_to_instance(api, arg)
+                    if isinstance(arg, UnboundType)
+                    else arg
+                )
+                for arg in typ.args
+            ],
+        )
+    else:
+        return typ
+
+
+def info_for_cls(
+    cls: ClassDef, api: SemanticAnalyzerPluginInterface
+) -> Optional[TypeInfo]:
+    if cls.info is CLASSDEF_NO_INFO:
+        sym = api.lookup_qualified(cls.name, cls)
+        if sym is None:
+            return None
+        assert sym and isinstance(sym.node, TypeInfo)
+        return sym.node
+
+    return cls.info

elitebot/lib/python3.11/site-packages/sqlalchemy/ext/orderinglist.py

@@ -0,0 +1,416 @@
+# ext/orderinglist.py
+# Copyright (C) 2005-2024 the SQLAlchemy authors and contributors
+# <see AUTHORS file>
+#
+# This module is part of SQLAlchemy and is released under
+# the MIT License: https://www.opensource.org/licenses/mit-license.php
+# mypy: ignore-errors
+
+"""A custom list that manages index/position information for contained
+elements.
+
+:author: Jason Kirtland
+
+``orderinglist`` is a helper for mutable ordered relationships.  It will
+intercept list operations performed on a :func:`_orm.relationship`-managed
+collection and
+automatically synchronize changes in list position onto a target scalar
+attribute.
+
+Example: A ``slide`` table, where each row refers to zero or more entries
+in a related ``bullet`` table.   The bullets within a slide are
+displayed in order based on the value of the ``position`` column in the
+``bullet`` table.   As entries are reordered in memory, the value of the
+``position`` attribute should be updated to reflect the new sort order::
+
+
+    Base = declarative_base()
+
+    class Slide(Base):
+        __tablename__ = 'slide'
+
+        id = Column(Integer, primary_key=True)
+        name = Column(String)
+
+        bullets = relationship("Bullet", order_by="Bullet.position")
+
+    class Bullet(Base):
+        __tablename__ = 'bullet'
+        id = Column(Integer, primary_key=True)
+        slide_id = Column(Integer, ForeignKey('slide.id'))
+        position = Column(Integer)
+        text = Column(String)
+
+The standard relationship mapping will produce a list-like attribute on each
+``Slide`` containing all related ``Bullet`` objects,
+but coping with changes in ordering is not handled automatically.
+When appending a ``Bullet`` into ``Slide.bullets``, the ``Bullet.position``
+attribute will remain unset until manually assigned.   When the ``Bullet``
+is inserted into the middle of the list, the following ``Bullet`` objects
+will also need to be renumbered.
+
+The :class:`.OrderingList` object automates this task, managing the
+``position`` attribute on all ``Bullet`` objects in the collection.  It is
+constructed using the :func:`.ordering_list` factory::
+
+    from sqlalchemy.ext.orderinglist import ordering_list
+
+    Base = declarative_base()
+
+    class Slide(Base):
+        __tablename__ = 'slide'
+
+        id = Column(Integer, primary_key=True)
+        name = Column(String)
+
+        bullets = relationship("Bullet", order_by="Bullet.position",
+                                collection_class=ordering_list('position'))
+
+    class Bullet(Base):
+        __tablename__ = 'bullet'
+        id = Column(Integer, primary_key=True)
+        slide_id = Column(Integer, ForeignKey('slide.id'))
+        position = Column(Integer)
+        text = Column(String)
+
+With the above mapping the ``Bullet.position`` attribute is managed::
+
+    s = Slide()
+    s.bullets.append(Bullet())
+    s.bullets.append(Bullet())
+    s.bullets[1].position
+    >>> 1
+    s.bullets.insert(1, Bullet())
+    s.bullets[2].position
+    >>> 2
+
+The :class:`.OrderingList` construct only works with **changes** to a
+collection, and not the initial load from the database, and requires that the
+list be sorted when loaded.  Therefore, be sure to specify ``order_by`` on the
+:func:`_orm.relationship` against the target ordering attribute, so that the
+ordering is correct when first loaded.
+
+.. warning::
+
+  :class:`.OrderingList` only provides limited functionality when a primary
+  key column or unique column is the target of the sort.  Operations
+  that are unsupported or are problematic include:
+
+    * two entries must trade values.  This is not supported directly in the
+      case of a primary key or unique constraint because it means at least
+      one row would need to be temporarily removed first, or changed to
+      a third, neutral value while the switch occurs.
+
+    * an entry must be deleted in order to make room for a new entry.
+      SQLAlchemy's unit of work performs all INSERTs before DELETEs within a
+      single flush.  In the case of a primary key, it will trade
+      an INSERT/DELETE of the same primary key for an UPDATE statement in order
+      to lessen the impact of this limitation, however this does not take place
+      for a UNIQUE column.
+      A future feature will allow the "DELETE before INSERT" behavior to be
+      possible, alleviating this limitation, though this feature will require
+      explicit configuration at the mapper level for sets of columns that
+      are to be handled in this way.
+
+:func:`.ordering_list` takes the name of the related object's ordering
+attribute as an argument.  By default, the zero-based integer index of the
+object's position in the :func:`.ordering_list` is synchronized with the
+ordering attribute: index 0 will get position 0, index 1 position 1, etc.  To
+start numbering at 1 or some other integer, provide ``count_from=1``.
+
+
+"""
+from __future__ import annotations
+
+from typing import Callable
+from typing import List
+from typing import Optional
+from typing import Sequence
+from typing import TypeVar
+
+from ..orm.collections import collection
+from ..orm.collections import collection_adapter
+
+_T = TypeVar("_T")
+OrderingFunc = Callable[[int, Sequence[_T]], int]
+
+
+__all__ = ["ordering_list"]
+
+
+def ordering_list(
+    attr: str,
+    count_from: Optional[int] = None,
+    ordering_func: Optional[OrderingFunc] = None,
+    reorder_on_append: bool = False,
+) -> Callable[[], OrderingList]:
+    """Prepares an :class:`OrderingList` factory for use in mapper definitions.
+
+    Returns an object suitable for use as an argument to a Mapper
+    relationship's ``collection_class`` option.  e.g.::
+
+        from sqlalchemy.ext.orderinglist import ordering_list
+
+        class Slide(Base):
+            __tablename__ = 'slide'
+
+            id = Column(Integer, primary_key=True)
+            name = Column(String)
+
+            bullets = relationship("Bullet", order_by="Bullet.position",
+                                    collection_class=ordering_list('position'))
+
+    :param attr:
+      Name of the mapped attribute to use for storage and retrieval of
+      ordering information
+
+    :param count_from:
+      Set up an integer-based ordering, starting at ``count_from``.  For
+      example, ``ordering_list('pos', count_from=1)`` would create a 1-based
+      list in SQL, storing the value in the 'pos' column.  Ignored if
+      ``ordering_func`` is supplied.
+
+    Additional arguments are passed to the :class:`.OrderingList` constructor.
+
+    """
+
+    kw = _unsugar_count_from(
+        count_from=count_from,
+        ordering_func=ordering_func,
+        reorder_on_append=reorder_on_append,
+    )
+    return lambda: OrderingList(attr, **kw)
+
+
+# Ordering utility functions
+
+
+def count_from_0(index, collection):
+    """Numbering function: consecutive integers starting at 0."""
+
+    return index
+
+
+def count_from_1(index, collection):
+    """Numbering function: consecutive integers starting at 1."""
+
+    return index + 1
+
+
+def count_from_n_factory(start):
+    """Numbering function: consecutive integers starting at arbitrary start."""
+
+    def f(index, collection):
+        return index + start
+
+    try:
+        f.__name__ = "count_from_%i" % start
+    except TypeError:
+        pass
+    return f
+
+
+def _unsugar_count_from(**kw):
+    """Builds counting functions from keyword arguments.
+
+    Keyword argument filter, prepares a simple ``ordering_func`` from a
+    ``count_from`` argument, otherwise passes ``ordering_func`` on unchanged.
+    """
+
+    count_from = kw.pop("count_from", None)
+    if kw.get("ordering_func", None) is None and count_from is not None:
+        if count_from == 0:
+            kw["ordering_func"] = count_from_0
+        elif count_from == 1:
+            kw["ordering_func"] = count_from_1
+        else:
+            kw["ordering_func"] = count_from_n_factory(count_from)
+    return kw
+
+
+class OrderingList(List[_T]):
+    """A custom list that manages position information for its children.
+
+    The :class:`.OrderingList` object is normally set up using the
+    :func:`.ordering_list` factory function, used in conjunction with
+    the :func:`_orm.relationship` function.
+
+    """
+
+    ordering_attr: str
+    ordering_func: OrderingFunc
+    reorder_on_append: bool
+
+    def __init__(
+        self,
+        ordering_attr: Optional[str] = None,
+        ordering_func: Optional[OrderingFunc] = None,
+        reorder_on_append: bool = False,
+    ):
+        """A custom list that manages position information for its children.
+
+        ``OrderingList`` is a ``collection_class`` list implementation that
+        syncs position in a Python list with a position attribute on the
+        mapped objects.
+
+        This implementation relies on the list starting in the proper order,
+        so be **sure** to put an ``order_by`` on your relationship.
+
+        :param ordering_attr:
+          Name of the attribute that stores the object's order in the
+          relationship.
+
+        :param ordering_func: Optional.  A function that maps the position in
+          the Python list to a value to store in the
+          ``ordering_attr``.  Values returned are usually (but need not be!)
+          integers.
+
+          An ``ordering_func`` is called with two positional parameters: the
+          index of the element in the list, and the list itself.
+
+          If omitted, Python list indexes are used for the attribute values.
+          Two basic pre-built numbering functions are provided in this module:
+          ``count_from_0`` and ``count_from_1``.  For more exotic examples
+          like stepped numbering, alphabetical and Fibonacci numbering, see
+          the unit tests.
+
+        :param reorder_on_append:
+          Default False.  When appending an object with an existing (non-None)
+          ordering value, that value will be left untouched unless
+          ``reorder_on_append`` is true.  This is an optimization to avoid a
+          variety of dangerous unexpected database writes.
+
+          SQLAlchemy will add instances to the list via append() when your
+          object loads.  If for some reason the result set from the database
+          skips a step in the ordering (say, row '1' is missing but you get
+          '2', '3', and '4'), reorder_on_append=True would immediately
+          renumber the items to '1', '2', '3'.  If you have multiple sessions
+          making changes, any of whom happen to load this collection even in
+          passing, all of the sessions would try to "clean up" the numbering
+          in their commits, possibly causing all but one to fail with a
+          concurrent modification error.
+
+          Recommend leaving this with the default of False, and just call
+          ``reorder()`` if you're doing ``append()`` operations with
+          previously ordered instances or when doing some housekeeping after
+          manual sql operations.
+
+        """
+        self.ordering_attr = ordering_attr
+        if ordering_func is None:
+            ordering_func = count_from_0
+        self.ordering_func = ordering_func
+        self.reorder_on_append = reorder_on_append
+
+    # More complex serialization schemes (multi column, e.g.) are possible by
+    # subclassing and reimplementing these two methods.
+    def _get_order_value(self, entity):
+        return getattr(entity, self.ordering_attr)
+
+    def _set_order_value(self, entity, value):
+        setattr(entity, self.ordering_attr, value)
+
+    def reorder(self) -> None:
+        """Synchronize ordering for the entire collection.
+
+        Sweeps through the list and ensures that each object has accurate
+        ordering information set.
+
+        """
+        for index, entity in enumerate(self):
+            self._order_entity(index, entity, True)
+
+    # As of 0.5, _reorder is no longer semi-private
+    _reorder = reorder
+
+    def _order_entity(self, index, entity, reorder=True):
+        have = self._get_order_value(entity)
+
+        # Don't disturb existing ordering if reorder is False
+        if have is not None and not reorder:
+            return
+
+        should_be = self.ordering_func(index, self)
+        if have != should_be:
+            self._set_order_value(entity, should_be)
+
+    def append(self, entity):
+        super().append(entity)
+        self._order_entity(len(self) - 1, entity, self.reorder_on_append)
+
+    def _raw_append(self, entity):
+        """Append without any ordering behavior."""
+
+        super().append(entity)
+
+    _raw_append = collection.adds(1)(_raw_append)
+
+    def insert(self, index, entity):
+        super().insert(index, entity)
+        self._reorder()
+
+    def remove(self, entity):
+        super().remove(entity)
+
+        adapter = collection_adapter(self)
+        if adapter and adapter._referenced_by_owner:
+            self._reorder()
+
+    def pop(self, index=-1):
+        entity = super().pop(index)
+        self._reorder()
+        return entity
+
+    def __setitem__(self, index, entity):
+        if isinstance(index, slice):
+            step = index.step or 1
+            start = index.start or 0
+            if start < 0:
+                start += len(self)
+            stop = index.stop or len(self)
+            if stop < 0:
+                stop += len(self)
+
+            for i in range(start, stop, step):
+                self.__setitem__(i, entity[i])
+        else:
+            self._order_entity(index, entity, True)
+            super().__setitem__(index, entity)
+
+    def __delitem__(self, index):
+        super().__delitem__(index)
+        self._reorder()
+
+    def __setslice__(self, start, end, values):
+        super().__setslice__(start, end, values)
+        self._reorder()
+
+    def __delslice__(self, start, end):
+        super().__delslice__(start, end)
+        self._reorder()
+
+    def __reduce__(self):
+        return _reconstitute, (self.__class__, self.__dict__, list(self))
+
+    for func_name, func in list(locals().items()):
+        if (
+            callable(func)
+            and func.__name__ == func_name
+            and not func.__doc__
+            and hasattr(list, func_name)
+        ):
+            func.__doc__ = getattr(list, func_name).__doc__
+    del func_name, func
+
+
+def _reconstitute(cls, dict_, items):
+    """Reconstitute an :class:`.OrderingList`.
+
+    This is the adjoint to :meth:`.OrderingList.__reduce__`.  It is used for
+    unpickling :class:`.OrderingList` objects.
+
+    """
+    obj = cls.__new__(cls)
+    obj.__dict__.update(dict_)
+    list.extend(obj, items)
+    return obj

elitebot/lib/python3.11/site-packages/sqlalchemy/ext/serializer.py

@@ -0,0 +1,185 @@
+# ext/serializer.py
+# Copyright (C) 2005-2024 the SQLAlchemy authors and contributors
+# <see AUTHORS file>
+#
+# This module is part of SQLAlchemy and is released under
+# the MIT License: https://www.opensource.org/licenses/mit-license.php
+# mypy: ignore-errors
+
+"""Serializer/Deserializer objects for usage with SQLAlchemy query structures,
+allowing "contextual" deserialization.
+
+.. legacy::
+
+    The serializer extension is **legacy** and should not be used for
+    new development.
+
+Any SQLAlchemy query structure, either based on sqlalchemy.sql.*
+or sqlalchemy.orm.* can be used.  The mappers, Tables, Columns, Session
+etc. which are referenced by the structure are not persisted in serialized
+form, but are instead re-associated with the query structure
+when it is deserialized.
+
+.. warning:: The serializer extension uses pickle to serialize and
+   deserialize objects, so the same security consideration mentioned
+   in the `python documentation
+   <https://docs.python.org/3/library/pickle.html>`_ apply.
+
+Usage is nearly the same as that of the standard Python pickle module::
+
+    from sqlalchemy.ext.serializer import loads, dumps
+    metadata = MetaData(bind=some_engine)
+    Session = scoped_session(sessionmaker())
+
+    # ... define mappers
+
+    query = Session.query(MyClass).
+        filter(MyClass.somedata=='foo').order_by(MyClass.sortkey)
+
+    # pickle the query
+    serialized = dumps(query)
+
+    # unpickle.  Pass in metadata + scoped_session
+    query2 = loads(serialized, metadata, Session)
+
+    print query2.all()
+
+Similar restrictions as when using raw pickle apply; mapped classes must be
+themselves be pickleable, meaning they are importable from a module-level
+namespace.
+
+The serializer module is only appropriate for query structures.  It is not
+needed for:
+
+* instances of user-defined classes.   These contain no references to engines,
+  sessions or expression constructs in the typical case and can be serialized
+  directly.
+
+* Table metadata that is to be loaded entirely from the serialized structure
+  (i.e. is not already declared in the application).   Regular
+  pickle.loads()/dumps() can be used to fully dump any ``MetaData`` object,
+  typically one which was reflected from an existing database at some previous
+  point in time.  The serializer module is specifically for the opposite case,
+  where the Table metadata is already present in memory.
+
+"""
+
+from io import BytesIO
+import pickle
+import re
+
+from .. import Column
+from .. import Table
+from ..engine import Engine
+from ..orm import class_mapper
+from ..orm.interfaces import MapperProperty
+from ..orm.mapper import Mapper
+from ..orm.session import Session
+from ..util import b64decode
+from ..util import b64encode
+
+
+__all__ = ["Serializer", "Deserializer", "dumps", "loads"]
+
+
+def Serializer(*args, **kw):
+    pickler = pickle.Pickler(*args, **kw)
+
+    def persistent_id(obj):
+        # print "serializing:", repr(obj)
+        if isinstance(obj, Mapper) and not obj.non_primary:
+            id_ = "mapper:" + b64encode(pickle.dumps(obj.class_))
+        elif isinstance(obj, MapperProperty) and not obj.parent.non_primary:
+            id_ = (
+                "mapperprop:"
+                + b64encode(pickle.dumps(obj.parent.class_))
+                + ":"
+                + obj.key
+            )
+        elif isinstance(obj, Table):
+            if "parententity" in obj._annotations:
+                id_ = "mapper_selectable:" + b64encode(
+                    pickle.dumps(obj._annotations["parententity"].class_)
+                )
+            else:
+                id_ = f"table:{obj.key}"
+        elif isinstance(obj, Column) and isinstance(obj.table, Table):
+            id_ = f"column:{obj.table.key}:{obj.key}"
+        elif isinstance(obj, Session):
+            id_ = "session:"
+        elif isinstance(obj, Engine):
+            id_ = "engine:"
+        else:
+            return None
+        return id_
+
+    pickler.persistent_id = persistent_id
+    return pickler
+
+
+our_ids = re.compile(
+    r"(mapperprop|mapper|mapper_selectable|table|column|"
+    r"session|attribute|engine):(.*)"
+)
+
+
+def Deserializer(file, metadata=None, scoped_session=None, engine=None):
+    unpickler = pickle.Unpickler(file)
+
+    def get_engine():
+        if engine:
+            return engine
+        elif scoped_session and scoped_session().bind:
+            return scoped_session().bind
+        elif metadata and metadata.bind:
+            return metadata.bind
+        else:
+            return None
+
+    def persistent_load(id_):
+        m = our_ids.match(str(id_))
+        if not m:
+            return None
+        else:
+            type_, args = m.group(1, 2)
+            if type_ == "attribute":
+                key, clsarg = args.split(":")
+                cls = pickle.loads(b64decode(clsarg))
+                return getattr(cls, key)
+            elif type_ == "mapper":
+                cls = pickle.loads(b64decode(args))
+                return class_mapper(cls)
+            elif type_ == "mapper_selectable":
+                cls = pickle.loads(b64decode(args))
+                return class_mapper(cls).__clause_element__()
+            elif type_ == "mapperprop":
+                mapper, keyname = args.split(":")
+                cls = pickle.loads(b64decode(mapper))
+                return class_mapper(cls).attrs[keyname]
+            elif type_ == "table":
+                return metadata.tables[args]
+            elif type_ == "column":
+                table, colname = args.split(":")
+                return metadata.tables[table].c[colname]
+            elif type_ == "session":
+                return scoped_session()
+            elif type_ == "engine":
+                return get_engine()
+            else:
+                raise Exception("Unknown token: %s" % type_)
+
+    unpickler.persistent_load = persistent_load
+    return unpickler
+
+
+def dumps(obj, protocol=pickle.HIGHEST_PROTOCOL):
+    buf = BytesIO()
+    pickler = Serializer(buf, protocol)
+    pickler.dump(obj)
+    return buf.getvalue()
+
+
+def loads(data, metadata=None, scoped_session=None, engine=None):
+    buf = BytesIO(data)
+    unpickler = Deserializer(buf, metadata, scoped_session, engine)
+    return unpickler.load()