aitsc/.venv/Lib/site-packages/sqlalchemy/sql/__pycache__/functions.cpython-312.pyc

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    :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.

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        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`

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            >>> 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, ...)``

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<01><<00>|j
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<01>jS)aQReturn this :class:`_functions.FunctionElement` as a column expression that
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        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`

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aThe set of columns exported by this :class:`.FunctionElement`.

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        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
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<01>"<00>t
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<01>S)aBProduce an OVER clause against this function.

        Used against aggregate or so-called "window" functions,
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        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`

        r<>r,)rmr<>r<>r<>r<>s     rT<00>overzFunctionElement.over<65>
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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`


        r.)rmr<>s  rT<00>within_groupzFunctionElement.within_group<75>
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a'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`


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asInterpret 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
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        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

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            >>> data_view = func.unnest([1, 2, 3]).alias("data_view")
            >>> print(select(data_view.column))
            {printsql}SELECT data_view
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        .. 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

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         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`

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        >>> print(
        ...     func.my_string("hi", type_=Unicode)
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        procedures.

    .. seealso::

        :ref:`tutorial_functions` - in the :ref:`unified_tutorial`

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a<>Describe a named SQL function.

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    :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.

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    calling any name from :data:`.func` has the effect that
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    given that name.  The primary use case for defining
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    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
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        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
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    to avoid name conflicts with other systems.   For example,
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            package = "time"
            inherit_cache = True

    The above function would be available from :data:`.func`
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        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.


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a*The SQL CONCAT() function, which concatenates strings.

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    String concatenation in SQLAlchemy is more commonly available using the
    Python ``+`` operator with string datatypes, which will render a
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    .. sourcecode:: pycon+sql

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    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


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z The CURRENT_DATE() SQL function.TN)r<>r<>r<>r<>r<00>Dater<65>r<>
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z The CURRENT_USER() SQL function.TNr<4E>
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zThe localtime() SQL function.TNr<4E>
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z"The localtimestamp() SQL function.TNr<4E>
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zThe USER() SQL function.TNr<4E>
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        :func:`_postgresql.array_agg` - PostgreSQL-specific version that
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        added.

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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.

    TNr<4E>
r\rVrTrv
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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.

    TN<54>r<>r<>r<>r<>rr<>
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c

<01><00>eZ
dZd
ZdZdZy)r<>
a|
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.

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r<>
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<01>6<00>eZ
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a
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`.

    TN<54>r<>r<>r<>r<>rr<>
r<>r<>
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}<00><00><00><08><1C>8<EFBFBD><1B><1B><1D>D<EFBFBD><18>MrVr<>
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<01>6<00>eZ
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a
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`.

    TNrr\rVrTr]
r]
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<01>B<00>eZ
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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`.

    <20>!sqltypes.Numeric[decimal.Decimal]r<>TN<54>	r<>r<>r<>r<>r<00>Numericr<63>r<>r<>
r\rVrTr~
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<00><00>$<00><00><08>/?<3F>h<EFBFBD>.><3E>.><3E>.@<40>D<EFBFBD>
+<2B>@<40><18>MrVr~
c
<01>B<00>eZ
dZUd
Zej
<00>Zded<dZy)rQ
a
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`.

    rr<>TNrr\rVrTrQ
rQ
<00>rrVrQ
c

<01><00>eZ
dZd
ZdZdZy)rO
aS
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

    TNr<4E>
r\rVrTrO
rO
<00><00><00><00><08><15>I<EFBFBD><18>MrVrO
c

<01><00>eZ
dZd
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aW
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

    TNr<4E>
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<01><00>eZ
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a<>Implement the ``GROUPING SETS`` grouping operation.

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    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

    TNr<4E>
r\rVrTrc
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<01>N<00><00>eZ
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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

    Tc
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