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+# sql/functions.py
+# Copyright (C) 2005-2025 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
+
+
+"""SQL function API, factories, and built-in functions.
+
+"""
+
+from __future__ import annotations
+
+import datetime
+import decimal
+from typing import Any
+from typing import cast
+from typing import Dict
+from typing import List
+from typing import Mapping
+from typing import Optional
+from typing import overload
+from typing import Sequence
+from typing import Tuple
+from typing import Type
+from typing import TYPE_CHECKING
+from typing import TypeVar
+from typing import Union
+
+from . import annotation
+from . import coercions
+from . import operators
+from . import roles
+from . import schema
+from . import sqltypes
+from . import type_api
+from . import util as sqlutil
+from ._typing import is_table_value_type
+from .base import _entity_namespace
+from .base import ColumnCollection
+from .base import Executable
+from .base import Generative
+from .base import HasMemoized
+from .elements import _type_from_args
+from .elements import BinaryExpression
+from .elements import BindParameter
+from .elements import Cast
+from .elements import ClauseList
+from .elements import ColumnElement
+from .elements import Extract
+from .elements import FunctionFilter
+from .elements import Grouping
+from .elements import literal_column
+from .elements import NamedColumn
+from .elements import Over
+from .elements import WithinGroup
+from .selectable import FromClause
+from .selectable import Select
+from .selectable import TableValuedAlias
+from .sqltypes import TableValueType
+from .type_api import TypeEngine
+from .visitors import InternalTraversal
+from .. import util
+
+
+if TYPE_CHECKING:
+    from ._typing import _ByArgument
+    from ._typing import _ColumnExpressionArgument
+    from ._typing import _ColumnExpressionOrLiteralArgument
+    from ._typing import _ColumnExpressionOrStrLabelArgument
+    from ._typing import _StarOrOne
+    from ._typing import _TypeEngineArgument
+    from .base import _EntityNamespace
+    from .elements import ClauseElement
+    from .elements import KeyedColumnElement
+    from .elements import TableValuedColumn
+    from .operators import OperatorType
+    from ..engine.base import Connection
+    from ..engine.cursor import CursorResult
+    from ..engine.interfaces import _CoreMultiExecuteParams
+    from ..engine.interfaces import CoreExecuteOptionsParameter
+    from ..util.typing import Self
+
+_T = TypeVar("_T", bound=Any)
+_S = TypeVar("_S", bound=Any)
+
+_registry: util.defaultdict[str, Dict[str, Type[Function[Any]]]] = (
+    util.defaultdict(dict)
+)
+
+
+def register_function(
+    identifier: str, fn: Type[Function[Any]], package: str = "_default"
+) -> None:
+    """Associate a callable with a particular func. name.
+
+    This is normally called by GenericFunction, but is also
+    available by itself so that a non-Function construct
+    can be associated with the :data:`.func` accessor (i.e.
+    CAST, EXTRACT).
+
+    """
+    reg = _registry[package]
+
+    identifier = str(identifier).lower()
+
+    # Check if a function with the same identifier is registered.
+    if identifier in reg:
+        util.warn(
+            "The GenericFunction '{}' is already registered and "
+            "is going to be overridden.".format(identifier)
+        )
+    reg[identifier] = fn
+
+
+class FunctionElement(Executable, ColumnElement[_T], FromClause, Generative):
+    """Base for SQL function-oriented constructs.
+
+    This is a `generic type <https://peps.python.org/pep-0484/#generics>`_,
+    meaning that type checkers and IDEs can be instructed on the types to
+    expect in a :class:`_engine.Result` for this function. See
+    :class:`.GenericFunction` for an example of how this is done.
+
+    .. seealso::
+
+        :ref:`tutorial_functions` - in the :ref:`unified_tutorial`
+
+        :class:`.Function` - named SQL function.
+
+        :data:`.func` - namespace which produces registered or ad-hoc
+        :class:`.Function` instances.
+
+        :class:`.GenericFunction` - allows creation of registered function
+        types.
+
+    """
+
+    _traverse_internals = [
+        ("clause_expr", InternalTraversal.dp_clauseelement),
+        ("_with_ordinality", InternalTraversal.dp_boolean),
+        ("_table_value_type", InternalTraversal.dp_has_cache_key),
+    ]
+
+    packagenames: Tuple[str, ...] = ()
+
+    _has_args = False
+    _with_ordinality = False
+    _table_value_type: Optional[TableValueType] = None
+
+    # some attributes that are defined between both ColumnElement and
+    # FromClause are set to Any here to avoid typing errors
+    primary_key: Any
+    _is_clone_of: Any
+
+    clause_expr: Grouping[Any]
+
+    def __init__(self, *clauses: _ColumnExpressionOrLiteralArgument[Any]):
+        r"""Construct a :class:`.FunctionElement`.
+
+        :param \*clauses: list of column expressions that form the arguments
+         of the SQL function call.
+
+        :param \**kwargs:  additional kwargs are typically consumed by
+         subclasses.
+
+        .. seealso::
+
+            :data:`.func`
+
+            :class:`.Function`
+
+        """
+        args: Sequence[_ColumnExpressionArgument[Any]] = [
+            coercions.expect(
+                roles.ExpressionElementRole,
+                c,
+                name=getattr(self, "name", None),
+                apply_propagate_attrs=self,
+            )
+            for c in clauses
+        ]
+        self._has_args = self._has_args or bool(args)
+        self.clause_expr = Grouping(
+            ClauseList(operator=operators.comma_op, group_contents=True, *args)
+        )
+
+    _non_anon_label = None
+
+    @property
+    def _proxy_key(self) -> Any:
+        return super()._proxy_key or getattr(self, "name", None)
+
+    def _execute_on_connection(
+        self,
+        connection: Connection,
+        distilled_params: _CoreMultiExecuteParams,
+        execution_options: CoreExecuteOptionsParameter,
+    ) -> CursorResult[Any]:
+        return connection._execute_function(
+            self, distilled_params, execution_options
+        )
+
+    def scalar_table_valued(
+        self, name: str, type_: Optional[_TypeEngineArgument[_T]] = None
+    ) -> ScalarFunctionColumn[_T]:
+        """Return a column expression that's against this
+        :class:`_functions.FunctionElement` as a scalar
+        table-valued expression.
+
+        The returned expression is similar to that returned by a single column
+        accessed off of a :meth:`_functions.FunctionElement.table_valued`
+        construct, except no FROM clause is generated; the function is rendered
+        in the similar way as a scalar subquery.
+
+        E.g.:
+
+        .. sourcecode:: pycon+sql
+
+            >>> from sqlalchemy import func, select
+            >>> fn = func.jsonb_each("{'k', 'v'}").scalar_table_valued("key")
+            >>> print(select(fn))
+            {printsql}SELECT (jsonb_each(:jsonb_each_1)).key
+
+        .. versionadded:: 1.4.0b2
+
+        .. seealso::
+
+            :meth:`_functions.FunctionElement.table_valued`
+
+            :meth:`_functions.FunctionElement.alias`
+
+            :meth:`_functions.FunctionElement.column_valued`
+
+        """  # noqa: E501
+
+        return ScalarFunctionColumn(self, name, type_)
+
+    def table_valued(
+        self, *expr: _ColumnExpressionOrStrLabelArgument[Any], **kw: Any
+    ) -> TableValuedAlias:
+        r"""Return a :class:`_sql.TableValuedAlias` representation of this
+        :class:`_functions.FunctionElement` with table-valued expressions added.
+
+        e.g.:
+
+        .. sourcecode:: pycon+sql
+
+            >>> fn = func.generate_series(1, 5).table_valued(
+            ...     "value", "start", "stop", "step"
+            ... )
+
+            >>> print(select(fn))
+            {printsql}SELECT anon_1.value, anon_1.start, anon_1.stop, anon_1.step
+            FROM generate_series(:generate_series_1, :generate_series_2) AS anon_1{stop}
+
+            >>> print(select(fn.c.value, fn.c.stop).where(fn.c.value > 2))
+            {printsql}SELECT anon_1.value, anon_1.stop
+            FROM generate_series(:generate_series_1, :generate_series_2) AS anon_1
+            WHERE anon_1.value > :value_1{stop}
+
+        A WITH ORDINALITY expression may be generated by passing the keyword
+        argument "with_ordinality":
+
+        .. sourcecode:: pycon+sql
+
+            >>> fn = func.generate_series(4, 1, -1).table_valued(
+            ...     "gen", with_ordinality="ordinality"
+            ... )
+            >>> print(select(fn))
+            {printsql}SELECT anon_1.gen, anon_1.ordinality
+            FROM generate_series(:generate_series_1, :generate_series_2, :generate_series_3) WITH ORDINALITY AS anon_1
+
+        :param \*expr: A series of string column names that will be added to the
+         ``.c`` collection of the resulting :class:`_sql.TableValuedAlias`
+         construct as columns.  :func:`_sql.column` objects with or without
+         datatypes may also be used.
+
+        :param name: optional name to assign to the alias name that's generated.
+         If omitted, a unique anonymizing name is used.
+
+        :param with_ordinality: string name that when present results in the
+         ``WITH ORDINALITY`` clause being added to the alias, and the given
+         string name will be added as a column to the .c collection
+         of the resulting :class:`_sql.TableValuedAlias`.
+
+        :param joins_implicitly: when True, the table valued function may be
+         used in the FROM clause without any explicit JOIN to other tables
+         in the SQL query, and no "cartesian product" warning will be generated.
+         May be useful for SQL functions such as ``func.json_each()``.
+
+         .. versionadded:: 1.4.33
+
+        .. versionadded:: 1.4.0b2
+
+
+        .. seealso::
+
+            :ref:`tutorial_functions_table_valued` - in the :ref:`unified_tutorial`
+
+            :ref:`postgresql_table_valued` - in the :ref:`postgresql_toplevel` documentation
+
+            :meth:`_functions.FunctionElement.scalar_table_valued` - variant of
+            :meth:`_functions.FunctionElement.table_valued` which delivers the
+            complete table valued expression as a scalar column expression
+
+            :meth:`_functions.FunctionElement.column_valued`
+
+            :meth:`_sql.TableValuedAlias.render_derived` - renders the alias
+            using a derived column clause, e.g. ``AS name(col1, col2, ...)``
+
+        """  # noqa: 501
+
+        new_func = self._generate()
+
+        with_ordinality = kw.pop("with_ordinality", None)
+        joins_implicitly = kw.pop("joins_implicitly", None)
+        name = kw.pop("name", None)
+
+        if with_ordinality:
+            expr += (with_ordinality,)
+            new_func._with_ordinality = True
+
+        new_func.type = new_func._table_value_type = TableValueType(*expr)
+
+        return new_func.alias(name=name, joins_implicitly=joins_implicitly)
+
+    def column_valued(
+        self, name: Optional[str] = None, joins_implicitly: bool = False
+    ) -> TableValuedColumn[_T]:
+        """Return this :class:`_functions.FunctionElement` as a column expression that
+        selects from itself as a FROM clause.
+
+        E.g.:
+
+        .. sourcecode:: pycon+sql
+
+            >>> from sqlalchemy import select, func
+            >>> gs = func.generate_series(1, 5, -1).column_valued()
+            >>> print(select(gs))
+            {printsql}SELECT anon_1
+            FROM generate_series(:generate_series_1, :generate_series_2, :generate_series_3) AS anon_1
+
+        This is shorthand for::
+
+            gs = func.generate_series(1, 5, -1).alias().column
+
+        :param name: optional name to assign to the alias name that's generated.
+         If omitted, a unique anonymizing name is used.
+
+        :param joins_implicitly: when True, the "table" portion of the column
+         valued function may be a member of the FROM clause without any
+         explicit JOIN to other tables in the SQL query, and no "cartesian
+         product" warning will be generated. May be useful for SQL functions
+         such as ``func.json_array_elements()``.
+
+         .. versionadded:: 1.4.46
+
+        .. seealso::
+
+            :ref:`tutorial_functions_column_valued` - in the :ref:`unified_tutorial`
+
+            :ref:`postgresql_column_valued` - in the :ref:`postgresql_toplevel` documentation
+
+            :meth:`_functions.FunctionElement.table_valued`
+
+        """  # noqa: 501
+
+        return self.alias(name=name, joins_implicitly=joins_implicitly).column
+
+    @util.ro_non_memoized_property
+    def columns(self) -> ColumnCollection[str, KeyedColumnElement[Any]]:  # type: ignore[override]  # noqa: E501
+        r"""The set of columns exported by this :class:`.FunctionElement`.
+
+        This is a placeholder collection that allows the function to be
+        placed in the FROM clause of a statement:
+
+        .. sourcecode:: pycon+sql
+
+            >>> from sqlalchemy import column, select, func
+            >>> stmt = select(column("x"), column("y")).select_from(func.myfunction())
+            >>> print(stmt)
+            {printsql}SELECT x, y FROM myfunction()
+
+        The above form is a legacy feature that is now superseded by the
+        fully capable :meth:`_functions.FunctionElement.table_valued`
+        method; see that method for details.
+
+        .. seealso::
+
+            :meth:`_functions.FunctionElement.table_valued` - generates table-valued
+            SQL function expressions.
+
+        """  # noqa: E501
+        return self.c
+
+    @util.ro_memoized_property
+    def c(self) -> ColumnCollection[str, KeyedColumnElement[Any]]:  # type: ignore[override]  # noqa: E501
+        """synonym for :attr:`.FunctionElement.columns`."""
+
+        return ColumnCollection(
+            columns=[(col.key, col) for col in self._all_selected_columns]
+        )
+
+    @property
+    def _all_selected_columns(self) -> Sequence[KeyedColumnElement[Any]]:
+        if is_table_value_type(self.type):
+            # TODO: this might not be fully accurate
+            cols = cast(
+                "Sequence[KeyedColumnElement[Any]]", self.type._elements
+            )
+        else:
+            cols = [self.label(None)]
+
+        return cols
+
+    @property
+    def exported_columns(  # type: ignore[override]
+        self,
+    ) -> ColumnCollection[str, KeyedColumnElement[Any]]:
+        return self.columns
+
+    @HasMemoized.memoized_attribute
+    def clauses(self) -> ClauseList:
+        """Return the underlying :class:`.ClauseList` which contains
+        the arguments for this :class:`.FunctionElement`.
+
+        """
+        return cast(ClauseList, self.clause_expr.element)
+
+    def over(
+        self,
+        *,
+        partition_by: Optional[_ByArgument] = None,
+        order_by: Optional[_ByArgument] = None,
+        rows: Optional[Tuple[Optional[int], Optional[int]]] = None,
+        range_: Optional[Tuple[Optional[int], Optional[int]]] = None,
+    ) -> Over[_T]:
+        """Produce an OVER clause against this function.
+
+        Used against aggregate or so-called "window" functions,
+        for database backends that support window functions.
+
+        The expression::
+
+            func.row_number().over(order_by="x")
+
+        is shorthand for::
+
+            from sqlalchemy import over
+
+            over(func.row_number(), order_by="x")
+
+        See :func:`_expression.over` for a full description.
+
+        .. seealso::
+
+            :func:`_expression.over`
+
+            :ref:`tutorial_window_functions` - in the :ref:`unified_tutorial`
+
+        """
+        return Over(
+            self,
+            partition_by=partition_by,
+            order_by=order_by,
+            rows=rows,
+            range_=range_,
+        )
+
+    def within_group(
+        self, *order_by: _ColumnExpressionArgument[Any]
+    ) -> WithinGroup[_T]:
+        """Produce a WITHIN GROUP (ORDER BY expr) clause against this function.
+
+        Used against so-called "ordered set aggregate" and "hypothetical
+        set aggregate" functions, including :class:`.percentile_cont`,
+        :class:`.rank`, :class:`.dense_rank`, etc.
+
+        See :func:`_expression.within_group` for a full description.
+
+        .. seealso::
+
+            :ref:`tutorial_functions_within_group` -
+            in the :ref:`unified_tutorial`
+
+
+        """
+        return WithinGroup(self, *order_by)
+
+    @overload
+    def filter(self) -> Self: ...
+
+    @overload
+    def filter(
+        self,
+        __criterion0: _ColumnExpressionArgument[bool],
+        *criterion: _ColumnExpressionArgument[bool],
+    ) -> FunctionFilter[_T]: ...
+
+    def filter(
+        self, *criterion: _ColumnExpressionArgument[bool]
+    ) -> Union[Self, FunctionFilter[_T]]:
+        """Produce a FILTER clause against this function.
+
+        Used against aggregate and window functions,
+        for database backends that support the "FILTER" clause.
+
+        The expression::
+
+            func.count(1).filter(True)
+
+        is shorthand for::
+
+            from sqlalchemy import funcfilter
+
+            funcfilter(func.count(1), True)
+
+        .. seealso::
+
+            :ref:`tutorial_functions_within_group` -
+            in the :ref:`unified_tutorial`
+
+            :class:`.FunctionFilter`
+
+            :func:`.funcfilter`
+
+
+        """
+        if not criterion:
+            return self
+        return FunctionFilter(self, *criterion)
+
+    def as_comparison(
+        self, left_index: int, right_index: int
+    ) -> FunctionAsBinary:
+        """Interpret this expression as a boolean comparison between two
+        values.
+
+        This method is used for an ORM use case described at
+        :ref:`relationship_custom_operator_sql_function`.
+
+        A hypothetical SQL function "is_equal()" which compares to values
+        for equality would be written in the Core expression language as::
+
+            expr = func.is_equal("a", "b")
+
+        If "is_equal()" above is comparing "a" and "b" for equality, the
+        :meth:`.FunctionElement.as_comparison` method would be invoked as::
+
+            expr = func.is_equal("a", "b").as_comparison(1, 2)
+
+        Where above, the integer value "1" refers to the first argument of the
+        "is_equal()" function and the integer value "2" refers to the second.
+
+        This would create a :class:`.BinaryExpression` that is equivalent to::
+
+            BinaryExpression("a", "b", operator=op.eq)
+
+        However, at the SQL level it would still render as
+        "is_equal('a', 'b')".
+
+        The ORM, when it loads a related object or collection, needs to be able
+        to manipulate the "left" and "right" sides of the ON clause of a JOIN
+        expression. The purpose of this method is to provide a SQL function
+        construct that can also supply this information to the ORM, when used
+        with the :paramref:`_orm.relationship.primaryjoin` parameter. The
+        return value is a containment object called :class:`.FunctionAsBinary`.
+
+        An ORM example is as follows::
+
+            class Venue(Base):
+                __tablename__ = "venue"
+                id = Column(Integer, primary_key=True)
+                name = Column(String)
+
+                descendants = relationship(
+                    "Venue",
+                    primaryjoin=func.instr(
+                        remote(foreign(name)), name + "/"
+                    ).as_comparison(1, 2)
+                    == 1,
+                    viewonly=True,
+                    order_by=name,
+                )
+
+        Above, the "Venue" class can load descendant "Venue" objects by
+        determining if the name of the parent Venue is contained within the
+        start of the hypothetical descendant value's name, e.g. "parent1" would
+        match up to "parent1/child1", but not to "parent2/child1".
+
+        Possible use cases include the "materialized path" example given above,
+        as well as making use of special SQL functions such as geometric
+        functions to create join conditions.
+
+        :param left_index: the integer 1-based index of the function argument
+         that serves as the "left" side of the expression.
+        :param right_index: the integer 1-based index of the function argument
+         that serves as the "right" side of the expression.
+
+        .. versionadded:: 1.3
+
+        .. seealso::
+
+            :ref:`relationship_custom_operator_sql_function` -
+            example use within the ORM
+
+        """
+        return FunctionAsBinary(self, left_index, right_index)
+
+    @property
+    def _from_objects(self) -> Any:
+        return self.clauses._from_objects
+
+    def within_group_type(
+        self, within_group: WithinGroup[_S]
+    ) -> Optional[TypeEngine[_S]]:
+        """For types that define their return type as based on the criteria
+        within a WITHIN GROUP (ORDER BY) expression, called by the
+        :class:`.WithinGroup` construct.
+
+        Returns None by default, in which case the function's normal ``.type``
+        is used.
+
+        """
+
+        return None
+
+    def alias(
+        self, name: Optional[str] = None, joins_implicitly: bool = False
+    ) -> TableValuedAlias:
+        r"""Produce a :class:`_expression.Alias` construct against this
+        :class:`.FunctionElement`.
+
+        .. tip::
+
+            The :meth:`_functions.FunctionElement.alias` method is part of the
+            mechanism by which "table valued" SQL functions are created.
+            However, most use cases are covered by higher level methods on
+            :class:`_functions.FunctionElement` including
+            :meth:`_functions.FunctionElement.table_valued`, and
+            :meth:`_functions.FunctionElement.column_valued`.
+
+        This construct wraps the function in a named alias which
+        is suitable for the FROM clause, in the style accepted for example
+        by PostgreSQL.  A column expression is also provided using the
+        special ``.column`` attribute, which may
+        be used to refer to the output of the function as a scalar value
+        in the columns or where clause, for a backend such as PostgreSQL.
+
+        For a full table-valued expression, use the
+        :meth:`_functions.FunctionElement.table_valued` method first to
+        establish named columns.
+
+        e.g.:
+
+        .. sourcecode:: pycon+sql
+
+            >>> from sqlalchemy import func, select, column
+            >>> data_view = func.unnest([1, 2, 3]).alias("data_view")
+            >>> print(select(data_view.column))
+            {printsql}SELECT data_view
+            FROM unnest(:unnest_1) AS data_view
+
+        The :meth:`_functions.FunctionElement.column_valued` method provides
+        a shortcut for the above pattern:
+
+        .. sourcecode:: pycon+sql
+
+            >>> data_view = func.unnest([1, 2, 3]).column_valued("data_view")
+            >>> print(select(data_view))
+            {printsql}SELECT data_view
+            FROM unnest(:unnest_1) AS data_view
+
+        .. versionadded:: 1.4.0b2  Added the ``.column`` accessor
+
+        :param name: alias name, will be rendered as ``AS <name>`` in the
+         FROM clause
+
+        :param joins_implicitly: when True, the table valued function may be
+         used in the FROM clause without any explicit JOIN to other tables
+         in the SQL query, and no "cartesian product" warning will be
+         generated.  May be useful for SQL functions such as
+         ``func.json_each()``.
+
+         .. versionadded:: 1.4.33
+
+        .. seealso::
+
+            :ref:`tutorial_functions_table_valued` -
+            in the :ref:`unified_tutorial`
+
+            :meth:`_functions.FunctionElement.table_valued`
+
+            :meth:`_functions.FunctionElement.scalar_table_valued`
+
+            :meth:`_functions.FunctionElement.column_valued`
+
+
+        """
+
+        return TableValuedAlias._construct(
+            self,
+            name=name,
+            table_value_type=self.type,
+            joins_implicitly=joins_implicitly,
+        )
+
+    def select(self) -> Select[Tuple[_T]]:
+        """Produce a :func:`_expression.select` construct
+        against this :class:`.FunctionElement`.
+
+        This is shorthand for::
+
+            s = select(function_element)
+
+        """
+        s: Select[Any] = Select(self)
+        if self._execution_options:
+            s = s.execution_options(**self._execution_options)
+        return s
+
+    def _bind_param(
+        self,
+        operator: OperatorType,
+        obj: Any,
+        type_: Optional[TypeEngine[_T]] = None,
+        expanding: bool = False,
+        **kw: Any,
+    ) -> BindParameter[_T]:
+        return BindParameter(
+            None,
+            obj,
+            _compared_to_operator=operator,
+            _compared_to_type=self.type,
+            unique=True,
+            type_=type_,
+            expanding=expanding,
+            **kw,
+        )
+
+    def self_group(self, against: Optional[OperatorType] = None) -> ClauseElement:  # type: ignore[override]  # noqa E501
+        # for the moment, we are parenthesizing all array-returning
+        # expressions against getitem.  This may need to be made
+        # more portable if in the future we support other DBs
+        # besides postgresql.
+        if against is operators.getitem and isinstance(
+            self.type, sqltypes.ARRAY
+        ):
+            return Grouping(self)
+        else:
+            return super().self_group(against=against)
+
+    @property
+    def entity_namespace(self) -> _EntityNamespace:
+        """overrides FromClause.entity_namespace as functions are generally
+        column expressions and not FromClauses.
+
+        """
+        # ideally functions would not be fromclauses but we failed to make
+        # this adjustment in 1.4
+        return _entity_namespace(self.clause_expr)
+
+
+class FunctionAsBinary(BinaryExpression[Any]):
+    _traverse_internals = [
+        ("sql_function", InternalTraversal.dp_clauseelement),
+        ("left_index", InternalTraversal.dp_plain_obj),
+        ("right_index", InternalTraversal.dp_plain_obj),
+        ("modifiers", InternalTraversal.dp_plain_dict),
+    ]
+
+    sql_function: FunctionElement[Any]
+    left_index: int
+    right_index: int
+
+    def _gen_cache_key(self, anon_map: Any, bindparams: Any) -> Any:
+        return ColumnElement._gen_cache_key(self, anon_map, bindparams)
+
+    def __init__(
+        self, fn: FunctionElement[Any], left_index: int, right_index: int
+    ):
+        self.sql_function = fn
+        self.left_index = left_index
+        self.right_index = right_index
+
+        self.operator = operators.function_as_comparison_op
+        self.type = sqltypes.BOOLEANTYPE
+        self.negate = None
+        self._is_implicitly_boolean = True
+        self.modifiers = {}
+
+    @property
+    def left_expr(self) -> ColumnElement[Any]:
+        return self.sql_function.clauses.clauses[self.left_index - 1]
+
+    @left_expr.setter
+    def left_expr(self, value: ColumnElement[Any]) -> None:
+        self.sql_function.clauses.clauses[self.left_index - 1] = value
+
+    @property
+    def right_expr(self) -> ColumnElement[Any]:
+        return self.sql_function.clauses.clauses[self.right_index - 1]
+
+    @right_expr.setter
+    def right_expr(self, value: ColumnElement[Any]) -> None:
+        self.sql_function.clauses.clauses[self.right_index - 1] = value
+
+    if not TYPE_CHECKING:
+        # mypy can't accommodate @property to replace an instance
+        # variable
+
+        left = left_expr
+        right = right_expr
+
+
+class ScalarFunctionColumn(NamedColumn[_T]):
+    __visit_name__ = "scalar_function_column"
+
+    _traverse_internals = [
+        ("name", InternalTraversal.dp_anon_name),
+        ("type", InternalTraversal.dp_type),
+        ("fn", InternalTraversal.dp_clauseelement),
+    ]
+
+    is_literal = False
+    table = None
+
+    def __init__(
+        self,
+        fn: FunctionElement[_T],
+        name: str,
+        type_: Optional[_TypeEngineArgument[_T]] = None,
+    ):
+        self.fn = fn
+        self.name = name
+
+        # if type is None, we get NULLTYPE, which is our _T.  But I don't
+        # know how to get the overloads to express that correctly
+        self.type = type_api.to_instance(type_)  # type: ignore
+
+
+class _FunctionGenerator:
+    """Generate SQL function expressions.
+
+    :data:`.func` is a special object instance which generates SQL
+    functions based on name-based attributes, e.g.:
+
+    .. sourcecode:: pycon+sql
+
+        >>> print(func.count(1))
+        {printsql}count(:param_1)
+
+    The returned object is an instance of :class:`.Function`, and  is a
+    column-oriented SQL element like any other, and is used in that way:
+
+    .. sourcecode:: pycon+sql
+
+        >>> print(select(func.count(table.c.id)))
+        {printsql}SELECT count(sometable.id) FROM sometable
+
+    Any name can be given to :data:`.func`. If the function name is unknown to
+    SQLAlchemy, it will be rendered exactly as is. For common SQL functions
+    which SQLAlchemy is aware of, the name may be interpreted as a *generic
+    function* which will be compiled appropriately to the target database:
+
+    .. sourcecode:: pycon+sql
+
+        >>> print(func.current_timestamp())
+        {printsql}CURRENT_TIMESTAMP
+
+    To call functions which are present in dot-separated packages,
+    specify them in the same manner:
+
+    .. sourcecode:: pycon+sql
+
+        >>> print(func.stats.yield_curve(5, 10))
+        {printsql}stats.yield_curve(:yield_curve_1, :yield_curve_2)
+
+    SQLAlchemy can be made aware of the return type of functions to enable
+    type-specific lexical and result-based behavior. For example, to ensure
+    that a string-based function returns a Unicode value and is similarly
+    treated as a string in expressions, specify
+    :class:`~sqlalchemy.types.Unicode` as the type:
+
+    .. sourcecode:: pycon+sql
+
+        >>> print(
+        ...     func.my_string("hi", type_=Unicode)
+        ...     + " "
+        ...     + func.my_string("there", type_=Unicode)
+        ... )
+        {printsql}my_string(:my_string_1) || :my_string_2 || my_string(:my_string_3)
+
+    The object returned by a :data:`.func` call is usually an instance of
+    :class:`.Function`.
+    This object meets the "column" interface, including comparison and labeling
+    functions.  The object can also be passed the :meth:`~.Connectable.execute`
+    method of a :class:`_engine.Connection` or :class:`_engine.Engine`,
+    where it will be
+    wrapped inside of a SELECT statement first::
+
+        print(connection.execute(func.current_timestamp()).scalar())
+
+    In a few exception cases, the :data:`.func` accessor
+    will redirect a name to a built-in expression such as :func:`.cast`
+    or :func:`.extract`, as these names have well-known meaning
+    but are not exactly the same as "functions" from a SQLAlchemy
+    perspective.
+
+    Functions which are interpreted as "generic" functions know how to
+    calculate their return type automatically. For a listing of known generic
+    functions, see :ref:`generic_functions`.
+
+    .. note::
+
+        The :data:`.func` construct has only limited support for calling
+        standalone "stored procedures", especially those with special
+        parameterization concerns.
+
+        See the section :ref:`stored_procedures` for details on how to use
+        the DBAPI-level ``callproc()`` method for fully traditional stored
+        procedures.
+
+    .. seealso::
+
+        :ref:`tutorial_functions` - in the :ref:`unified_tutorial`
+
+        :class:`.Function`
+
+    """  # noqa
+
+    def __init__(self, **opts: Any):
+        self.__names: List[str] = []
+        self.opts = opts
+
+    def __getattr__(self, name: str) -> _FunctionGenerator:
+        # passthru __ attributes; fixes pydoc
+        if name.startswith("__"):
+            try:
+                return self.__dict__[name]  # type: ignore
+            except KeyError:
+                raise AttributeError(name)
+
+        elif name.endswith("_"):
+            name = name[0:-1]
+        f = _FunctionGenerator(**self.opts)
+        f.__names = list(self.__names) + [name]
+        return f
+
+    @overload
+    def __call__(
+        self, *c: Any, type_: _TypeEngineArgument[_T], **kwargs: Any
+    ) -> Function[_T]: ...
+
+    @overload
+    def __call__(self, *c: Any, **kwargs: Any) -> Function[Any]: ...
+
+    def __call__(self, *c: Any, **kwargs: Any) -> Function[Any]:
+        o = self.opts.copy()
+        o.update(kwargs)
+
+        tokens = len(self.__names)
+
+        if tokens == 2:
+            package, fname = self.__names
+        elif tokens == 1:
+            package, fname = "_default", self.__names[0]
+        else:
+            package = None
+
+        if package is not None:
+            func = _registry[package].get(fname.lower())
+            if func is not None:
+                return func(*c, **o)
+
+        return Function(
+            self.__names[-1], packagenames=tuple(self.__names[0:-1]), *c, **o
+        )
+
+    if TYPE_CHECKING:
+        # START GENERATED FUNCTION ACCESSORS
+
+        # code within this block is **programmatically,
+        # statically generated** by tools/generate_sql_functions.py
+
+        @property
+        def aggregate_strings(self) -> Type[aggregate_strings]: ...
+
+        @property
+        def ansifunction(self) -> Type[AnsiFunction[Any]]: ...
+
+        @property
+        def array_agg(self) -> Type[array_agg[Any]]: ...
+
+        @property
+        def cast(self) -> Type[Cast[Any]]: ...
+
+        @property
+        def char_length(self) -> Type[char_length]: ...
+
+        # set ColumnElement[_T] as a separate overload, to appease mypy
+        # which seems to not want to accept _T from _ColumnExpressionArgument.
+        # this is even if all non-generic types are removed from it, so
+        # reasons remain unclear for why this does not work
+
+        @overload
+        def coalesce(
+            self,
+            col: ColumnElement[_T],
+            *args: _ColumnExpressionOrLiteralArgument[Any],
+            **kwargs: Any,
+        ) -> coalesce[_T]: ...
+
+        @overload
+        def coalesce(
+            self,
+            col: _ColumnExpressionArgument[_T],
+            *args: _ColumnExpressionOrLiteralArgument[Any],
+            **kwargs: Any,
+        ) -> coalesce[_T]: ...
+
+        @overload
+        def coalesce(
+            self,
+            col: _ColumnExpressionOrLiteralArgument[_T],
+            *args: _ColumnExpressionOrLiteralArgument[Any],
+            **kwargs: Any,
+        ) -> coalesce[_T]: ...
+
+        def coalesce(
+            self,
+            col: _ColumnExpressionOrLiteralArgument[_T],
+            *args: _ColumnExpressionOrLiteralArgument[Any],
+            **kwargs: Any,
+        ) -> coalesce[_T]: ...
+
+        @property
+        def concat(self) -> Type[concat]: ...
+
+        @property
+        def count(self) -> Type[count]: ...
+
+        @property
+        def cube(self) -> Type[cube[Any]]: ...
+
+        @property
+        def cume_dist(self) -> Type[cume_dist]: ...
+
+        @property
+        def current_date(self) -> Type[current_date]: ...
+
+        @property
+        def current_time(self) -> Type[current_time]: ...
+
+        @property
+        def current_timestamp(self) -> Type[current_timestamp]: ...
+
+        @property
+        def current_user(self) -> Type[current_user]: ...
+
+        @property
+        def dense_rank(self) -> Type[dense_rank]: ...
+
+        @property
+        def extract(self) -> Type[Extract]: ...
+
+        @property
+        def grouping_sets(self) -> Type[grouping_sets[Any]]: ...
+
+        @property
+        def localtime(self) -> Type[localtime]: ...
+
+        @property
+        def localtimestamp(self) -> Type[localtimestamp]: ...
+
+        # set ColumnElement[_T] as a separate overload, to appease mypy
+        # which seems to not want to accept _T from _ColumnExpressionArgument.
+        # this is even if all non-generic types are removed from it, so
+        # reasons remain unclear for why this does not work
+
+        @overload
+        def max(  # noqa: A001
+            self,
+            col: ColumnElement[_T],
+            *args: _ColumnExpressionOrLiteralArgument[Any],
+            **kwargs: Any,
+        ) -> max[_T]: ...
+
+        @overload
+        def max(  # noqa: A001
+            self,
+            col: _ColumnExpressionArgument[_T],
+            *args: _ColumnExpressionOrLiteralArgument[Any],
+            **kwargs: Any,
+        ) -> max[_T]: ...
+
+        @overload
+        def max(  # noqa: A001
+            self,
+            col: _ColumnExpressionOrLiteralArgument[_T],
+            *args: _ColumnExpressionOrLiteralArgument[Any],
+            **kwargs: Any,
+        ) -> max[_T]: ...
+
+        def max(  # noqa: A001
+            self,
+            col: _ColumnExpressionOrLiteralArgument[_T],
+            *args: _ColumnExpressionOrLiteralArgument[Any],
+            **kwargs: Any,
+        ) -> max[_T]: ...
+
+        # set ColumnElement[_T] as a separate overload, to appease mypy
+        # which seems to not want to accept _T from _ColumnExpressionArgument.
+        # this is even if all non-generic types are removed from it, so
+        # reasons remain unclear for why this does not work
+
+        @overload
+        def min(  # noqa: A001
+            self,
+            col: ColumnElement[_T],
+            *args: _ColumnExpressionOrLiteralArgument[Any],
+            **kwargs: Any,
+        ) -> min[_T]: ...
+
+        @overload
+        def min(  # noqa: A001
+            self,
+            col: _ColumnExpressionArgument[_T],
+            *args: _ColumnExpressionOrLiteralArgument[Any],
+            **kwargs: Any,
+        ) -> min[_T]: ...
+
+        @overload
+        def min(  # noqa: A001
+            self,
+            col: _ColumnExpressionOrLiteralArgument[_T],
+            *args: _ColumnExpressionOrLiteralArgument[Any],
+            **kwargs: Any,
+        ) -> min[_T]: ...
+
+        def min(  # noqa: A001
+            self,
+            col: _ColumnExpressionOrLiteralArgument[_T],
+            *args: _ColumnExpressionOrLiteralArgument[Any],
+            **kwargs: Any,
+        ) -> min[_T]: ...
+
+        @property
+        def mode(self) -> Type[mode[Any]]: ...
+
+        @property
+        def next_value(self) -> Type[next_value]: ...
+
+        @property
+        def now(self) -> Type[now]: ...
+
+        @property
+        def orderedsetagg(self) -> Type[OrderedSetAgg[Any]]: ...
+
+        @property
+        def percent_rank(self) -> Type[percent_rank]: ...
+
+        @property
+        def percentile_cont(self) -> Type[percentile_cont[Any]]: ...
+
+        @property
+        def percentile_disc(self) -> Type[percentile_disc[Any]]: ...
+
+        @property
+        def random(self) -> Type[random]: ...
+
+        @property
+        def rank(self) -> Type[rank]: ...
+
+        @property
+        def rollup(self) -> Type[rollup[Any]]: ...
+
+        @property
+        def session_user(self) -> Type[session_user]: ...
+
+        # set ColumnElement[_T] as a separate overload, to appease mypy
+        # which seems to not want to accept _T from _ColumnExpressionArgument.
+        # this is even if all non-generic types are removed from it, so
+        # reasons remain unclear for why this does not work
+
+        @overload
+        def sum(  # noqa: A001
+            self,
+            col: ColumnElement[_T],
+            *args: _ColumnExpressionOrLiteralArgument[Any],
+            **kwargs: Any,
+        ) -> sum[_T]: ...
+
+        @overload
+        def sum(  # noqa: A001
+            self,
+            col: _ColumnExpressionArgument[_T],
+            *args: _ColumnExpressionOrLiteralArgument[Any],
+            **kwargs: Any,
+        ) -> sum[_T]: ...
+
+        @overload
+        def sum(  # noqa: A001
+            self,
+            col: _ColumnExpressionOrLiteralArgument[_T],
+            *args: _ColumnExpressionOrLiteralArgument[Any],
+            **kwargs: Any,
+        ) -> sum[_T]: ...
+
+        def sum(  # noqa: A001
+            self,
+            col: _ColumnExpressionOrLiteralArgument[_T],
+            *args: _ColumnExpressionOrLiteralArgument[Any],
+            **kwargs: Any,
+        ) -> sum[_T]: ...
+
+        @property
+        def sysdate(self) -> Type[sysdate]: ...
+
+        @property
+        def user(self) -> Type[user]: ...
+
+        # END GENERATED FUNCTION ACCESSORS
+
+
+func = _FunctionGenerator()
+func.__doc__ = _FunctionGenerator.__doc__
+
+modifier = _FunctionGenerator(group=False)
+
+
+class Function(FunctionElement[_T]):
+    r"""Describe a named SQL function.
+
+    The :class:`.Function` object is typically generated from the
+    :data:`.func` generation object.
+
+
+    :param \*clauses: list of column expressions that form the arguments
+     of the SQL function call.
+
+    :param type\_: optional :class:`.TypeEngine` datatype object that will be
+     used as the return value of the column expression generated by this
+     function call.
+
+    :param packagenames: a string which indicates package prefix names
+     to be prepended to the function name when the SQL is generated.
+     The :data:`.func` generator creates these when it is called using
+     dotted format, e.g.::
+
+        func.mypackage.some_function(col1, col2)
+
+    .. seealso::
+
+        :ref:`tutorial_functions` - in the :ref:`unified_tutorial`
+
+        :data:`.func` - namespace which produces registered or ad-hoc
+        :class:`.Function` instances.
+
+        :class:`.GenericFunction` - allows creation of registered function
+        types.
+
+    """
+
+    __visit_name__ = "function"
+
+    _traverse_internals = FunctionElement._traverse_internals + [
+        ("packagenames", InternalTraversal.dp_plain_obj),
+        ("name", InternalTraversal.dp_string),
+        ("type", InternalTraversal.dp_type),
+    ]
+
+    name: str
+
+    identifier: str
+
+    type: TypeEngine[_T]
+    """A :class:`_types.TypeEngine` object which refers to the SQL return
+    type represented by this SQL function.
+
+    This datatype may be configured when generating a
+    :class:`_functions.Function` object by passing the
+    :paramref:`_functions.Function.type_` parameter, e.g.::
+
+        >>> select(func.lower("some VALUE", type_=String))
+
+    The small number of built-in classes of :class:`_functions.Function` come
+    with a built-in datatype that's appropriate to the class of function and
+    its arguments. For functions that aren't known, the type defaults to the
+    "null type".
+
+    """
+
+    @overload
+    def __init__(
+        self,
+        name: str,
+        *clauses: _ColumnExpressionOrLiteralArgument[_T],
+        type_: None = ...,
+        packagenames: Optional[Tuple[str, ...]] = ...,
+    ): ...
+
+    @overload
+    def __init__(
+        self,
+        name: str,
+        *clauses: _ColumnExpressionOrLiteralArgument[Any],
+        type_: _TypeEngineArgument[_T] = ...,
+        packagenames: Optional[Tuple[str, ...]] = ...,
+    ): ...
+
+    def __init__(
+        self,
+        name: str,
+        *clauses: _ColumnExpressionOrLiteralArgument[Any],
+        type_: Optional[_TypeEngineArgument[_T]] = None,
+        packagenames: Optional[Tuple[str, ...]] = None,
+    ):
+        """Construct a :class:`.Function`.
+
+        The :data:`.func` construct is normally used to construct
+        new :class:`.Function` instances.
+
+        """
+        self.packagenames = packagenames or ()
+        self.name = name
+
+        # if type is None, we get NULLTYPE, which is our _T.  But I don't
+        # know how to get the overloads to express that correctly
+        self.type = type_api.to_instance(type_)  # type: ignore
+
+        FunctionElement.__init__(self, *clauses)
+
+    def _bind_param(
+        self,
+        operator: OperatorType,
+        obj: Any,
+        type_: Optional[TypeEngine[_T]] = None,
+        expanding: bool = False,
+        **kw: Any,
+    ) -> BindParameter[_T]:
+        return BindParameter(
+            self.name,
+            obj,
+            _compared_to_operator=operator,
+            _compared_to_type=self.type,
+            type_=type_,
+            unique=True,
+            expanding=expanding,
+            **kw,
+        )
+
+
+class GenericFunction(Function[_T]):
+    """Define a 'generic' function.
+
+    A generic function is a pre-established :class:`.Function`
+    class that is instantiated automatically when called
+    by name from the :data:`.func` attribute.    Note that
+    calling any name from :data:`.func` has the effect that
+    a new :class:`.Function` instance is created automatically,
+    given that name.  The primary use case for defining
+    a :class:`.GenericFunction` class is so that a function
+    of a particular name may be given a fixed return type.
+    It can also include custom argument parsing schemes as well
+    as additional methods.
+
+    Subclasses of :class:`.GenericFunction` are automatically
+    registered under the name of the class.  For
+    example, a user-defined function ``as_utc()`` would
+    be available immediately::
+
+        from sqlalchemy.sql.functions import GenericFunction
+        from sqlalchemy.types import DateTime
+
+
+        class as_utc(GenericFunction):
+            type = DateTime()
+            inherit_cache = True
+
+
+        print(select(func.as_utc()))
+
+    User-defined generic functions can be organized into
+    packages by specifying the "package" attribute when defining
+    :class:`.GenericFunction`.   Third party libraries
+    containing many functions may want to use this in order
+    to avoid name conflicts with other systems.   For example,
+    if our ``as_utc()`` function were part of a package
+    "time"::
+
+        class as_utc(GenericFunction):
+            type = DateTime()
+            package = "time"
+            inherit_cache = True
+
+    The above function would be available from :data:`.func`
+    using the package name ``time``::
+
+        print(select(func.time.as_utc()))
+
+    A final option is to allow the function to be accessed
+    from one name in :data:`.func` but to render as a different name.
+    The ``identifier`` attribute will override the name used to
+    access the function as loaded from :data:`.func`, but will retain
+    the usage of ``name`` as the rendered name::
+
+        class GeoBuffer(GenericFunction):
+            type = Geometry()
+            package = "geo"
+            name = "ST_Buffer"
+            identifier = "buffer"
+            inherit_cache = True
+
+    The above function will render as follows:
+
+    .. sourcecode:: pycon+sql
+
+        >>> print(func.geo.buffer())
+        {printsql}ST_Buffer()
+
+    The name will be rendered as is, however without quoting unless the name
+    contains special characters that require quoting.  To force quoting
+    on or off for the name, use the :class:`.sqlalchemy.sql.quoted_name`
+    construct::
+
+        from sqlalchemy.sql import quoted_name
+
+
+        class GeoBuffer(GenericFunction):
+            type = Geometry()
+            package = "geo"
+            name = quoted_name("ST_Buffer", True)
+            identifier = "buffer"
+            inherit_cache = True
+
+    The above function will render as:
+
+    .. sourcecode:: pycon+sql
+
+        >>> print(func.geo.buffer())
+        {printsql}"ST_Buffer"()
+
+    Type parameters for this class as a
+    `generic type <https://peps.python.org/pep-0484/#generics>`_ can be passed
+    and should match the type seen in a :class:`_engine.Result`. For example::
+
+        class as_utc(GenericFunction[datetime.datetime]):
+            type = DateTime()
+            inherit_cache = True
+
+    The above indicates that the following expression returns a ``datetime``
+    object::
+
+        connection.scalar(select(func.as_utc()))
+
+    .. versionadded:: 1.3.13  The :class:`.quoted_name` construct is now
+       recognized for quoting when used with the "name" attribute of the
+       object, so that quoting can be forced on or off for the function
+       name.
+
+
+    """
+
+    coerce_arguments = True
+    inherit_cache = True
+
+    _register: bool
+
+    name = "GenericFunction"
+
+    def __init_subclass__(cls) -> None:
+        if annotation.Annotated not in cls.__mro__:
+            cls._register_generic_function(cls.__name__, cls.__dict__)
+        super().__init_subclass__()
+
+    @classmethod
+    def _register_generic_function(
+        cls, clsname: str, clsdict: Mapping[str, Any]
+    ) -> None:
+        cls.name = name = clsdict.get("name", clsname)
+        cls.identifier = identifier = clsdict.get("identifier", name)
+        package = clsdict.get("package", "_default")
+        # legacy
+        if "__return_type__" in clsdict:
+            cls.type = clsdict["__return_type__"]
+
+        # Check _register attribute status
+        cls._register = getattr(cls, "_register", True)
+
+        # Register the function if required
+        if cls._register:
+            register_function(identifier, cls, package)
+        else:
+            # Set _register to True to register child classes by default
+            cls._register = True
+
+    def __init__(
+        self, *args: _ColumnExpressionOrLiteralArgument[Any], **kwargs: Any
+    ):
+        parsed_args = kwargs.pop("_parsed_args", None)
+        if parsed_args is None:
+            parsed_args = [
+                coercions.expect(
+                    roles.ExpressionElementRole,
+                    c,
+                    name=self.name,
+                    apply_propagate_attrs=self,
+                )
+                for c in args
+            ]
+        self._has_args = self._has_args or bool(parsed_args)
+        self.packagenames = ()
+
+        self.clause_expr = Grouping(
+            ClauseList(
+                operator=operators.comma_op, group_contents=True, *parsed_args
+            )
+        )
+
+        self.type = type_api.to_instance(  # type: ignore
+            kwargs.pop("type_", None) or getattr(self, "type", None)
+        )
+
+
+register_function("cast", Cast)  # type: ignore
+register_function("extract", Extract)  # type: ignore
+
+
+class next_value(GenericFunction[int]):
+    """Represent the 'next value', given a :class:`.Sequence`
+    as its single argument.
+
+    Compiles into the appropriate function on each backend,
+    or will raise NotImplementedError if used on a backend
+    that does not provide support for sequences.
+
+    """
+
+    type = sqltypes.Integer()
+    name = "next_value"
+
+    _traverse_internals = [
+        ("sequence", InternalTraversal.dp_named_ddl_element)
+    ]
+
+    def __init__(self, seq: schema.Sequence, **kw: Any):
+        assert isinstance(
+            seq, schema.Sequence
+        ), "next_value() accepts a Sequence object as input."
+        self.sequence = seq
+        self.type = sqltypes.to_instance(  # type: ignore
+            seq.data_type or getattr(self, "type", None)
+        )
+
+    def compare(self, other: Any, **kw: Any) -> bool:
+        return (
+            isinstance(other, next_value)
+            and self.sequence.name == other.sequence.name
+        )
+
+    @property
+    def _from_objects(self) -> Any:
+        return []
+
+
+class AnsiFunction(GenericFunction[_T]):
+    """Define a function in "ansi" format, which doesn't render parenthesis."""
+
+    inherit_cache = True
+
+    def __init__(self, *args: _ColumnExpressionArgument[Any], **kwargs: Any):
+        GenericFunction.__init__(self, *args, **kwargs)
+
+
+class ReturnTypeFromArgs(GenericFunction[_T]):
+    """Define a function whose return type is the same as its arguments."""
+
+    inherit_cache = True
+
+    # set ColumnElement[_T] as a separate overload, to appease mypy which seems
+    # to not want to accept _T from _ColumnExpressionArgument.  this is even if
+    # all non-generic types are removed from it, so reasons remain unclear for
+    # why this does not work
+
+    @overload
+    def __init__(
+        self,
+        col: ColumnElement[_T],
+        *args: _ColumnExpressionOrLiteralArgument[Any],
+        **kwargs: Any,
+    ): ...
+
+    @overload
+    def __init__(
+        self,
+        col: _ColumnExpressionArgument[_T],
+        *args: _ColumnExpressionOrLiteralArgument[Any],
+        **kwargs: Any,
+    ): ...
+
+    @overload
+    def __init__(
+        self,
+        col: _ColumnExpressionOrLiteralArgument[_T],
+        *args: _ColumnExpressionOrLiteralArgument[Any],
+        **kwargs: Any,
+    ): ...
+
+    def __init__(
+        self, *args: _ColumnExpressionOrLiteralArgument[Any], **kwargs: Any
+    ):
+        fn_args: Sequence[ColumnElement[Any]] = [
+            coercions.expect(
+                roles.ExpressionElementRole,
+                c,
+                name=self.name,
+                apply_propagate_attrs=self,
+            )
+            for c in args
+        ]
+        kwargs.setdefault("type_", _type_from_args(fn_args))
+        kwargs["_parsed_args"] = fn_args
+        super().__init__(*fn_args, **kwargs)
+
+
+class coalesce(ReturnTypeFromArgs[_T]):
+    _has_args = True
+    inherit_cache = True
+
+
+class max(ReturnTypeFromArgs[_T]):  # noqa:  A001
+    """The SQL MAX() aggregate function."""
+
+    inherit_cache = True
+
+
+class min(ReturnTypeFromArgs[_T]):  # noqa: A001
+    """The SQL MIN() aggregate function."""
+
+    inherit_cache = True
+
+
+class sum(ReturnTypeFromArgs[_T]):  # noqa: A001
+    """The SQL SUM() aggregate function."""
+
+    inherit_cache = True
+
+
+class now(GenericFunction[datetime.datetime]):
+    """The SQL now() datetime function.
+
+    SQLAlchemy dialects will usually render this particular function
+    in a backend-specific way, such as rendering it as ``CURRENT_TIMESTAMP``.
+
+    """
+
+    type = sqltypes.DateTime()
+    inherit_cache = True
+
+
+class concat(GenericFunction[str]):
+    """The SQL CONCAT() function, which concatenates strings.
+
+    E.g.:
+
+    .. sourcecode:: pycon+sql
+
+        >>> print(select(func.concat("a", "b")))
+        {printsql}SELECT concat(:concat_2, :concat_3) AS concat_1
+
+    String concatenation in SQLAlchemy is more commonly available using the
+    Python ``+`` operator with string datatypes, which will render a
+    backend-specific concatenation operator, such as :
+
+    .. sourcecode:: pycon+sql
+
+        >>> print(select(literal("a") + "b"))
+        {printsql}SELECT :param_1 || :param_2 AS anon_1
+
+
+    """
+
+    type = sqltypes.String()
+    inherit_cache = True
+
+
+class char_length(GenericFunction[int]):
+    """The CHAR_LENGTH() SQL function."""
+
+    type = sqltypes.Integer()
+    inherit_cache = True
+
+    def __init__(self, arg: _ColumnExpressionArgument[str], **kw: Any):
+        # slight hack to limit to just one positional argument
+        # not sure why this one function has this special treatment
+        super().__init__(arg, **kw)
+
+
+class random(GenericFunction[float]):
+    """The RANDOM() SQL function."""
+
+    _has_args = True
+    inherit_cache = True
+
+
+class count(GenericFunction[int]):
+    r"""The ANSI COUNT aggregate function.  With no arguments,
+    emits COUNT \*.
+
+    E.g.::
+
+        from sqlalchemy import func
+        from sqlalchemy import select
+        from sqlalchemy import table, column
+
+        my_table = table("some_table", column("id"))
+
+        stmt = select(func.count()).select_from(my_table)
+
+    Executing ``stmt`` would emit:
+
+    .. sourcecode:: sql
+
+        SELECT count(*) AS count_1
+        FROM some_table
+
+
+    """
+
+    type = sqltypes.Integer()
+    inherit_cache = True
+
+    def __init__(
+        self,
+        expression: Union[
+            _ColumnExpressionArgument[Any], _StarOrOne, None
+        ] = None,
+        **kwargs: Any,
+    ):
+        if expression is None:
+            expression = literal_column("*")
+        super().__init__(expression, **kwargs)
+
+
+class current_date(AnsiFunction[datetime.date]):
+    """The CURRENT_DATE() SQL function."""
+
+    type = sqltypes.Date()
+    inherit_cache = True
+
+
+class current_time(AnsiFunction[datetime.time]):
+    """The CURRENT_TIME() SQL function."""
+
+    type = sqltypes.Time()
+    inherit_cache = True
+
+
+class current_timestamp(AnsiFunction[datetime.datetime]):
+    """The CURRENT_TIMESTAMP() SQL function."""
+
+    type = sqltypes.DateTime()
+    inherit_cache = True
+
+
+class current_user(AnsiFunction[str]):
+    """The CURRENT_USER() SQL function."""
+
+    type = sqltypes.String()
+    inherit_cache = True
+
+
+class localtime(AnsiFunction[datetime.datetime]):
+    """The localtime() SQL function."""
+
+    type = sqltypes.DateTime()
+    inherit_cache = True
+
+
+class localtimestamp(AnsiFunction[datetime.datetime]):
+    """The localtimestamp() SQL function."""
+
+    type = sqltypes.DateTime()
+    inherit_cache = True
+
+
+class session_user(AnsiFunction[str]):
+    """The SESSION_USER() SQL function."""
+
+    type = sqltypes.String()
+    inherit_cache = True
+
+
+class sysdate(AnsiFunction[datetime.datetime]):
+    """The SYSDATE() SQL function."""
+
+    type = sqltypes.DateTime()
+    inherit_cache = True
+
+
+class user(AnsiFunction[str]):
+    """The USER() SQL function."""
+
+    type = sqltypes.String()
+    inherit_cache = True
+
+
+class array_agg(GenericFunction[_T]):
+    """Support for the ARRAY_AGG function.
+
+    The ``func.array_agg(expr)`` construct returns an expression of
+    type :class:`_types.ARRAY`.
+
+    e.g.::
+
+        stmt = select(func.array_agg(table.c.values)[2:5])
+
+    .. seealso::
+
+        :func:`_postgresql.array_agg` - PostgreSQL-specific version that
+        returns :class:`_postgresql.ARRAY`, which has PG-specific operators
+        added.
+
+    """
+
+    inherit_cache = True
+
+    def __init__(self, *args: _ColumnExpressionArgument[Any], **kwargs: Any):
+        fn_args: Sequence[ColumnElement[Any]] = [
+            coercions.expect(
+                roles.ExpressionElementRole, c, apply_propagate_attrs=self
+            )
+            for c in args
+        ]
+
+        default_array_type = kwargs.pop("_default_array_type", sqltypes.ARRAY)
+        if "type_" not in kwargs:
+            type_from_args = _type_from_args(fn_args)
+            if isinstance(type_from_args, sqltypes.ARRAY):
+                kwargs["type_"] = type_from_args
+            else:
+                kwargs["type_"] = default_array_type(
+                    type_from_args, dimensions=1
+                )
+        kwargs["_parsed_args"] = fn_args
+        super().__init__(*fn_args, **kwargs)
+
+
+class OrderedSetAgg(GenericFunction[_T]):
+    """Define a function where the return type is based on the sort
+    expression type as defined by the expression passed to the
+    :meth:`.FunctionElement.within_group` method."""
+
+    array_for_multi_clause = False
+    inherit_cache = True
+
+    def within_group_type(
+        self, within_group: WithinGroup[Any]
+    ) -> TypeEngine[Any]:
+        func_clauses = cast(ClauseList, self.clause_expr.element)
+        order_by: Sequence[ColumnElement[Any]] = sqlutil.unwrap_order_by(
+            within_group.order_by
+        )
+        if self.array_for_multi_clause and len(func_clauses.clauses) > 1:
+            return sqltypes.ARRAY(order_by[0].type)
+        else:
+            return order_by[0].type
+
+
+class mode(OrderedSetAgg[_T]):
+    """Implement the ``mode`` ordered-set aggregate function.
+
+    This function must be used with the :meth:`.FunctionElement.within_group`
+    modifier to supply a sort expression to operate upon.
+
+    The return type of this function is the same as the sort expression.
+
+    """
+
+    inherit_cache = True
+
+
+class percentile_cont(OrderedSetAgg[_T]):
+    """Implement the ``percentile_cont`` ordered-set aggregate function.
+
+    This function must be used with the :meth:`.FunctionElement.within_group`
+    modifier to supply a sort expression to operate upon.
+
+    The return type of this function is the same as the sort expression,
+    or if the arguments are an array, an :class:`_types.ARRAY` of the sort
+    expression's type.
+
+    """
+
+    array_for_multi_clause = True
+    inherit_cache = True
+
+
+class percentile_disc(OrderedSetAgg[_T]):
+    """Implement the ``percentile_disc`` ordered-set aggregate function.
+
+    This function must be used with the :meth:`.FunctionElement.within_group`
+    modifier to supply a sort expression to operate upon.
+
+    The return type of this function is the same as the sort expression,
+    or if the arguments are an array, an :class:`_types.ARRAY` of the sort
+    expression's type.
+
+    """
+
+    array_for_multi_clause = True
+    inherit_cache = True
+
+
+class rank(GenericFunction[int]):
+    """Implement the ``rank`` hypothetical-set aggregate function.
+
+    This function must be used with the :meth:`.FunctionElement.within_group`
+    modifier to supply a sort expression to operate upon.
+
+    The return type of this function is :class:`.Integer`.
+
+    """
+
+    type = sqltypes.Integer()
+    inherit_cache = True
+
+
+class dense_rank(GenericFunction[int]):
+    """Implement the ``dense_rank`` hypothetical-set aggregate function.
+
+    This function must be used with the :meth:`.FunctionElement.within_group`
+    modifier to supply a sort expression to operate upon.
+
+    The return type of this function is :class:`.Integer`.
+
+    """
+
+    type = sqltypes.Integer()
+    inherit_cache = True
+
+
+class percent_rank(GenericFunction[decimal.Decimal]):
+    """Implement the ``percent_rank`` hypothetical-set aggregate function.
+
+    This function must be used with the :meth:`.FunctionElement.within_group`
+    modifier to supply a sort expression to operate upon.
+
+    The return type of this function is :class:`.Numeric`.
+
+    """
+
+    type: sqltypes.Numeric[decimal.Decimal] = sqltypes.Numeric()
+    inherit_cache = True
+
+
+class cume_dist(GenericFunction[decimal.Decimal]):
+    """Implement the ``cume_dist`` hypothetical-set aggregate function.
+
+    This function must be used with the :meth:`.FunctionElement.within_group`
+    modifier to supply a sort expression to operate upon.
+
+    The return type of this function is :class:`.Numeric`.
+
+    """
+
+    type: sqltypes.Numeric[decimal.Decimal] = sqltypes.Numeric()
+    inherit_cache = True
+
+
+class cube(GenericFunction[_T]):
+    r"""Implement the ``CUBE`` grouping operation.
+
+    This function is used as part of the GROUP BY of a statement,
+    e.g. :meth:`_expression.Select.group_by`::
+
+        stmt = select(
+            func.sum(table.c.value), table.c.col_1, table.c.col_2
+        ).group_by(func.cube(table.c.col_1, table.c.col_2))
+
+    .. versionadded:: 1.2
+
+    """
+
+    _has_args = True
+    inherit_cache = True
+
+
+class rollup(GenericFunction[_T]):
+    r"""Implement the ``ROLLUP`` grouping operation.
+
+    This function is used as part of the GROUP BY of a statement,
+    e.g. :meth:`_expression.Select.group_by`::
+
+        stmt = select(
+            func.sum(table.c.value), table.c.col_1, table.c.col_2
+        ).group_by(func.rollup(table.c.col_1, table.c.col_2))
+
+    .. versionadded:: 1.2
+
+    """
+
+    _has_args = True
+    inherit_cache = True
+
+
+class grouping_sets(GenericFunction[_T]):
+    r"""Implement the ``GROUPING SETS`` grouping operation.
+
+    This function is used as part of the GROUP BY of a statement,
+    e.g. :meth:`_expression.Select.group_by`::
+
+        stmt = select(
+            func.sum(table.c.value), table.c.col_1, table.c.col_2
+        ).group_by(func.grouping_sets(table.c.col_1, table.c.col_2))
+
+    In order to group by multiple sets, use the :func:`.tuple_` construct::
+
+        from sqlalchemy import tuple_
+
+        stmt = select(
+            func.sum(table.c.value), table.c.col_1, table.c.col_2, table.c.col_3
+        ).group_by(
+            func.grouping_sets(
+                tuple_(table.c.col_1, table.c.col_2),
+                tuple_(table.c.value, table.c.col_3),
+            )
+        )
+
+    .. versionadded:: 1.2
+
+    """  # noqa: E501
+
+    _has_args = True
+    inherit_cache = True
+
+
+class aggregate_strings(GenericFunction[str]):
+    """Implement a generic string aggregation function.
+
+    This function will concatenate non-null values into a string and
+    separate the values by a delimiter.
+
+    This function is compiled on a per-backend basis, into functions
+    such as ``group_concat()``, ``string_agg()``, or ``LISTAGG()``.
+
+    e.g. Example usage with delimiter '.'::
+
+        stmt = select(func.aggregate_strings(table.c.str_col, "."))
+
+    The return type of this function is :class:`.String`.
+
+    .. versionadded: 2.0.21
+
+    """
+
+    type = sqltypes.String()
+    _has_args = True
+    inherit_cache = True
+
+    def __init__(self, clause: _ColumnExpressionArgument[Any], separator: str):
+        super().__init__(clause, separator)