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    and allow the instantiation of further :class:`.ColumnElement` instances
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    together with the addition operator ``+`` to produce
    a :class:`.BinaryExpression`.
    Both :class:`.ColumnClause` and :class:`.BinaryExpression` are subclasses
    of :class:`.ColumnElement`::

        >>> from sqlalchemy.sql import column
        >>> column('a') + column('b')
        <sqlalchemy.sql.expression.BinaryExpression object at 0x101029dd0>
        >>> print column('a') + column('b')
        a + b

    .. seealso::

        :class:`.Column`

        :func:`.expression.column`

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        :param equivalents: a dictionary of columns as keys mapped to sets
          of columns. If the given "other" column is present in this
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R c
BsƒeZ
dZd
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Represent a "bound expression".

    :class:`.BindParameter` is invoked explicitly using the
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        from sqlalchemy import bindparam

        stmt = select([users_table]).\
                    where(users_table.c.name == bindparam('username'))

    Detailed discussion of how :class:`.BindParameter` is used is
    at :func:`.bindparam`.

    .. seealso::

        :func:`.bindparam`

    u	bindparamcCs’
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        The return value is an instance of :class:`.BindParameter`; this
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        database connection.

        In SQLAlchemy, the :func:`.bindparam` construct has
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        used at expression time.  In this way, it serves not just as
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        representing so-called "unsafe" values which should not be rendered
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        When using :func:`.bindparam` explicitly, the use case is typically
        one of traditional deferment of parameters; the :func:`.bindparam`
        construct accepts a name which can then be referred to at execution
        time::

            from sqlalchemy import bindparam

            stmt = select([users_table]).\
                        where(users_table.c.name == bindparam('username'))

        The above statement, when rendered, will produce SQL similar to::

            SELECT id, name FROM user WHERE name = :username

        In order to populate the value of ``:username`` above, the value
        would typically be applied at execution time to a method
        like :meth:`.Connection.execute`::

            result = connection.execute(stmt, username='wendy')

        Explicit use of :func:`.bindparam` is also common when producing
        UPDATE or DELETE statements that are to be invoked multiple times,
        where the WHERE criterion of the statement is to change on each
        invocation, such as::

            stmt = (users_table.update().
                    where(user_table.c.name == bindparam('username')).
                    values(fullname=bindparam('fullname'))
                    )

            connection.execute(
                stmt, [{"username": "wendy", "fullname": "Wendy Smith"},
                       {"username": "jack", "fullname": "Jack Jones"},
                       ]
            )

        SQLAlchemy's Core expression system makes wide use of
        :func:`.bindparam` in an implicit sense.   It is typical that Python
        literal values passed to virtually all SQL expression functions are
        coerced into fixed :func:`.bindparam` constructs.  For example, given
        a comparison operation such as::

            expr = users_table.c.name == 'Wendy'

        The above expression will produce a :class:`.BinaryExpression`
        construct, where the left side is the :class:`.Column` object
        representing the ``name`` column, and the right side is a
        :class:`.BindParameter` representing the literal value::

            print(repr(expr.right))
            BindParameter('%(4327771088 name)s', 'Wendy', type_=String())

        The expression above will render SQL such as::

            user.name = :name_1

        Where the ``:name_1`` parameter name is an anonymous name.  The
        actual string ``Wendy`` is not in the rendered string, but is carried
        along where it is later used within statement execution.  If we
        invoke a statement like the following::

            stmt = select([users_table]).where(users_table.c.name == 'Wendy')
            result = connection.execute(stmt)

        We would see SQL logging output as::

            SELECT "user".id, "user".name
            FROM "user"
            WHERE "user".name = %(name_1)s
            {'name_1': 'Wendy'}

        Above, we see that ``Wendy`` is passed as a parameter to the database,
        while the placeholder ``:name_1`` is rendered in the appropriate form
        for the target database, in this case the Postgresql database.

        Similarly, :func:`.bindparam` is invoked automatically
        when working with :term:`CRUD` statements as far as the "VALUES"
        portion is concerned.   The :func:`.insert` construct produces an
        ``INSERT`` expression which will, at statement execution time,
        generate bound placeholders based on the arguments passed, as in::

            stmt = users_table.insert()
            result = connection.execute(stmt, name='Wendy')

        The above will produce SQL output as::

            INSERT INTO "user" (name) VALUES (%(name)s)
            {'name': 'Wendy'}

        The :class:`.Insert` construct, at compilation/execution time,
        rendered a single :func:`.bindparam` mirroring the column
        name ``name`` as a result of the single ``name`` parameter
        we passed to the :meth:`.Connection.execute` method.

        :param key:
          the key (e.g. the name) for this bind param.
          Will be used in the generated
          SQL statement for dialects that use named parameters.  This
          value may be modified when part of a compilation operation,
          if other :class:`BindParameter` objects exist with the same
          key, or if its length is too long and truncation is
          required.

        :param value:
          Initial value for this bind param.  Will be used at statement
          execution time as the value for this parameter passed to the
          DBAPI, if no other value is indicated to the statement execution
          method for this particular parameter name.  Defaults to ``None``.

        :param callable\_:
          A callable function that takes the place of "value".  The function
          will be called at statement execution time to determine the
          ultimate value.   Used for scenarios where the actual bind
          value cannot be determined at the point at which the clause
          construct is created, but embedded bind values are still desirable.

        :param type\_:
          A :class:`.TypeEngine` class or instance representing an optional
          datatype for this :func:`.bindparam`.  If not passed, a type
          may be determined automatically for the bind, based on the given
          value; for example, trivial Python types such as ``str``,
          ``int``, ``bool``
          may result in the :class:`.String`, :class:`.Integer` or
          :class:`.Boolean` types being autoamtically selected.

          The type of a :func:`.bindparam` is significant especially in that
          the type will apply pre-processing to the value before it is
          passed to the database.  For example, a :func:`.bindparam` which
          refers to a datetime value, and is specified as holding the
          :class:`.DateTime` type, may apply conversion needed to the
          value (such as stringification on SQLite) before passing the value
          to the database.

        :param unique:
          if True, the key name of this :class:`.BindParameter` will be
          modified if another :class:`.BindParameter` of the same name
          already has been located within the containing
          expression.  This flag is used generally by the internals
          when producing so-called "anonymous" bound expressions, it
          isn't generally applicable to explicitly-named :func:`.bindparam`
          constructs.

        :param required:
          If ``True``, a value is required at execution time.  If not passed,
          it defaults to ``True`` if neither :paramref:`.bindparam.value`
          or :paramref:`.bindparam.callable` were passed.  If either of these
          parameters are present, then :paramref:`.bindparam.required`
          defaults to ``False``.

          .. versionchanged:: 0.8 If the ``required`` flag is not specified,
             it will be set automatically to ``True`` or ``False`` depending
             on whether or not the ``value`` or ``callable`` parameters
             were specified.

        :param quote:
          True if this parameter name requires quoting and is not
          currently known as a SQLAlchemy reserved word; this currently
          only applies to the Oracle backend, where bound names must
          sometimes be quoted.

        :param isoutparam:
          if True, the parameter should be treated like a stored procedure
          "OUT" parameter.  This applies to backends such as Oracle which
          support OUT parameters.

        .. seealso::

            :ref:`coretutorial_bind_param`

            :ref:`coretutorial_insert_expressions`

            :func:`.outparam`

        u
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Represent a literal SQL text fragment.

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        t = text("SELECT * FROM users")
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        E.g.::

            from sqlalchemy import text

            t = text("SELECT * FROM users")
            result = connection.execute(t)

        The advantages :func:`.text` provides over a plain string are
        backend-neutral support for bind parameters, per-statement
        execution options, as well as
        bind parameter and result-column typing behavior, allowing
        SQLAlchemy type constructs to play a role when executing
        a statement that is specified literally.  The construct can also
        be provided with a ``.c`` collection of column elements, allowing
        it to be embedded in other SQL expression constructs as a subquery.

        Bind parameters are specified by name, using the format ``:name``.
        E.g.::

            t = text("SELECT * FROM users WHERE id=:user_id")
            result = connection.execute(t, user_id=12)

        For SQL statements where a colon is required verbatim, as within
        an inline string, use a backslash to escape::

            t = text("SELECT * FROM users WHERE name='\:username'")

        The :class:`.TextClause` construct includes methods which can
        provide information about the bound parameters as well as the column
        values which would be returned from the textual statement, assuming
        it's an executable SELECT type of statement.  The
        :meth:`.TextClause.bindparams` method is used to provide bound
        parameter detail, and :meth:`.TextClause.columns` method allows
        specification of return columns including names and types::

            t = text("SELECT * FROM users WHERE id=:user_id").\
                    bindparams(user_id=7).\
                    columns(id=Integer, name=String)

            for id, name in connection.execute(t):
                print(id, name)

        The :func:`.text` construct is used in cases when
        a literal string SQL fragment is specified as part of a larger query,
        such as for the WHERE clause of a SELECT statement::

            s = select([users.c.id, users.c.name]).where(text("id=:user_id"))
            result = connection.execute(s, user_id=12)

        :func:`.text` is also used for the construction
        of a full, standalone statement using plain text.
        As such, SQLAlchemy refers
        to it as an :class:`.Executable` object, and it supports
        the :meth:`Executable.execution_options` method.  For example,
        a :func:`.text` construct that should be subject to "autocommit"
        can be set explicitly so using the
        :paramref:`.Connection.execution_options.autocommit` option::

            t = text("EXEC my_procedural_thing()").\
                    execution_options(autocommit=True)

        Note that SQLAlchemy's usual "autocommit" behavior applies to
        :func:`.text` constructs implicitly - that is, statements which begin
        with a phrase such as ``INSERT``, ``UPDATE``, ``DELETE``,
        or a variety of other phrases specific to certain backends, will
        be eligible for autocommit if no transaction is in progress.

        :param text:
          the text of the SQL statement to be created.  use ``:<param>``
          to specify bind parameters; they will be compiled to their
          engine-specific format.

        :param autocommit:
          Deprecated.  Use .execution_options(autocommit=<True|False>)
          to set the autocommit option.

        :param bind:
          an optional connection or engine to be used for this text query.

        :param bindparams:
          Deprecated.  A list of :func:`.bindparam` instances used to
          provide information about parameters embedded in the statement.
          This argument now invokes the :meth:`.TextClause.bindparams`
          method on the construct before returning it.  E.g.::

              stmt = text("SELECT * FROM table WHERE id=:id",
                        bindparams=[bindparam('id', value=5, type_=Integer)])

          Is equivalent to::

              stmt = text("SELECT * FROM table WHERE id=:id").\
                        bindparams(bindparam('id', value=5, type_=Integer))

          .. deprecated:: 0.9.0 the :meth:`.TextClause.bindparams` method
             supersedes the ``bindparams`` argument to :func:`.text`.

        :param typemap:
          Deprecated.  A dictionary mapping the names of columns
          represented in the columns clause of a ``SELECT`` statement
          to type objects,
          which will be used to perform post-processing on columns within
          the result set.  This parameter now invokes the
          :meth:`.TextClause.columns` method, which returns a
          :class:`.TextAsFrom` construct that gains a ``.c`` collection and
          can be embedded in other expressions.  E.g.::

              stmt = text("SELECT * FROM table",
                            typemap={'id': Integer, 'name': String},
                        )

          Is equivalent to::

              stmt = text("SELECT * FROM table").columns(id=Integer,
                                                         name=String)

          Or alternatively::

              from sqlalchemy.sql import column
              stmt = text("SELECT * FROM table").columns(
                                    column('id', Integer),
                                    column('name', String)
                                )

          .. deprecated:: 0.9.0 the :meth:`.TextClause.columns` method
             supersedes the ``typemap`` argument to :func:`.text`.

        RXuLautocommit on text() is deprecated.  Use .execution_options(autocommit=True)t
autocommitN(RÚt
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q|X|j|ƒ
||<q|WdS(u^Establish the values and/or types of bound parameters within
        this :class:`.TextClause` construct.

        Given a text construct such as::

            from sqlalchemy import text
            stmt = text("SELECT id, name FROM user WHERE name=:name "
                        "AND timestamp=:timestamp")

        the :meth:`.TextClause.bindparams` method can be used to establish
        the initial value of ``:name`` and ``:timestamp``,
        using simple keyword arguments::

            stmt = stmt.bindparams(name='jack',
                        timestamp=datetime.datetime(2012, 10, 8, 15, 12, 5))

        Where above, new :class:`.BindParameter` objects
        will be generated with the names ``name`` and ``timestamp``, and
        values of ``jack`` and ``datetime.datetime(2012, 10, 8, 15, 12, 5)``,
        respectively.  The types will be
        inferred from the values given, in this case :class:`.String` and
        :class:`.DateTime`.

        When specific typing behavior is needed, the positional ``*binds``
        argument can be used in which to specify :func:`.bindparam` constructs
        directly.  These constructs must include at least the ``key``
        argument, then an optional value and type::

            from sqlalchemy import bindparam
            stmt = stmt.bindparams(
                            bindparam('name', value='jack', type_=String),
                            bindparam('timestamp', type_=DateTime)
                        )

        Above, we specified the type of :class:`.DateTime` for the
        ``timestamp`` bind, and the type of :class:`.String` for the ``name``
        bind.  In the case of ``name`` we also set the default value of
        ``"jack"``.

        Additional bound parameters can be supplied at statement execution
        time, e.g.::

            result = connection.execute(stmt,
                        timestamp=datetime.datetime(2012, 10, 8, 15, 12, 5))

        The :meth:`.TextClause.bindparams` method can be called repeatedly,
        where it will re-use existing :class:`.BindParameter` objects to add
        new information.  For example, we can call
        :meth:`.TextClause.bindparams` first with typing information, and a
        second time with value information, and it will be combined::

            stmt = text("SELECT id, name FROM user WHERE name=:name "
                        "AND timestamp=:timestamp")
            stmt = stmt.bindparams(
                bindparam('name', type_=String),
                bindparam('timestamp', type_=DateTime)
            )
            stmt = stmt.bindparams(
                name='jack',
                timestamp=datetime.datetime(2012, 10, 8, 15, 12, 5)
            )


        .. versionadded:: 0.9.0 The :meth:`.TextClause.bindparams` method
           supersedes the argument ``bindparams`` passed to
           :func:`~.expression.text`.


        u?This text() construct doesn't define a bound parameter named %rN(RÜR8R/tKeyErrorRR\titemsRÔ(R>tbindstnames_to_valuest
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usqlalchemy.sql.selectablecOs‚g|D]9}|j|kr:t
|j|j|jƒ
ƒn|^qg|jƒD]\}}t
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j||ƒS(
ub	Turn this :class:`.TextClause` object into a :class:`.TextAsFrom`
        object that can be embedded into another statement.

        This function essentially bridges the gap between an entirely
        textual SELECT statement and the SQL expression language concept
        of a "selectable"::

            from sqlalchemy.sql import column, text

            stmt = text("SELECT id, name FROM some_table")
            stmt = stmt.columns(column('id'), column('name')).alias('st')

            stmt = select([mytable]).                    select_from(
                        mytable.join(stmt, mytable.c.name == stmt.c.name)
                    ).where(stmt.c.id > 5)

        Above, we used untyped :func:`.column` elements.  These can also have
        types specified, which will impact how the column behaves in
        expressions as well as determining result set behavior::

            stmt = text("SELECT id, name, timestamp FROM some_table")
            stmt = stmt.columns(
                        column('id', Integer),
                        column('name', Unicode),
                        column('timestamp', DateTime)
                    )

            for id, name, timestamp in connection.execute(stmt):
                print(id, name, timestamp)

        Keyword arguments allow just the names and types of columns to be
        specified, where the :func:`.column` elements will be generated
        automatically::

            stmt = text("SELECT id, name, timestamp FROM some_table")
            stmt = stmt.columns(
                        id=Integer,
                        name=Unicode,
                        timestamp=DateTime
                    )

            for id, name, timestamp in connection.execute(stmt):
                print(id, name, timestamp)

        The :meth:`.TextClause.columns` method provides a direct
        route to calling :meth:`.FromClause.alias` as well as
        :meth:`.SelectBase.cte` against a textual SELECT statement::

            stmt = stmt.columns(id=Integer, name=String).cte('st')

            stmt = select([sometable]).where(sometable.c.id == stmt.c.id)

        .. versionadded:: 0.9.0 :func:`.text` can now be converted into a
           fully featured "selectable" construct using the
           :meth:`.TextClause.columns` method.  This method supersedes the
           ``typemap`` argument to :func:`.text`.

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        an expression against 1 or 0::

            >>> print select([t.c.x]).where(false())
            SELECT x FROM t WHERE 0 = 1

        The :func:`.true` and :func:`.false` constants also feature
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        conjunction::

            >>> print select([t.c.x]).where(or_(t.c.x > 5, true()))
            SELECT x FROM t WHERE true

            >>> print select([t.c.x]).where(and_(t.c.x > 5, false()))
            SELECT x FROM t WHERE false

        .. versionchanged:: 0.9 :func:`.true` and :func:`.false` feature
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        .. seealso::

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            >>> print select([t.c.x]).where(true())
            SELECT x FROM t WHERE 1 = 1

        The :func:`.true` and :func:`.false` constants also feature
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        conjunction::

            >>> print select([t.c.x]).where(or_(t.c.x > 5, true()))
            SELECT x FROM t WHERE true

            >>> print select([t.c.x]).where(and_(t.c.x > 5, false()))
            SELECT x FROM t WHERE false

        .. versionchanged:: 0.9 :func:`.true` and :func:`.false` feature
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        .. seealso::

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Gs|jt
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            stmt = select([users_table]).where(
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                                users_table.c.enrolled == True
                            )
                        )

        The :func:`.and_` conjunction is also available using the
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            stmt = select([users_table]).where(
                            (users_table.c.name == 'wendy') &
                            (users_table.c.enrolled == True)
                        )

        The :func:`.and_` operation is also implicit in some cases;
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            stmt = select([users_table]).                        where(users_table.c.name == 'wendy').                        where(users_table.c.enrolled == True)

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                            )
                        )

        The :func:`.or_` conjunction is also available using the
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            stmt = select([users_table]).where(
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            )

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Zddd„Zed„
Zd„Ze	d„ƒ
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RS(u€Represent a ``CASE`` expression.

    :class:`.Case` is produced using the :func:`.case` factory function,
    as in::

        from sqlalchemy import case

        stmt = select([users_table]).                    where(
                        case(
                            [
                                (users_table.c.name == 'wendy', 'W'),
                                (users_table.c.name == 'jack', 'J')
                            ],
                            else_='E'
                        )
                    )

    Details on :class:`.Case` usage is at :func:`.case`.

    .. seealso::

        :func:`.case`

    ucasecCs.
ytj
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t|ƒ
|_n	d|_dS(uProduce a ``CASE`` expression.

        The ``CASE`` construct in SQL is a conditional object that
        acts somewhat analogously to an "if/then" construct in other
        languages.  It returns an instance of :class:`.Case`.

        :func:`.case` in its usual form is passed a list of "when"
        constructs, that is, a list of conditions and results as tuples::

            from sqlalchemy import case

            stmt = select([users_table]).\
                        where(
                            case(
                                [
                                    (users_table.c.name == 'wendy', 'W'),
                                    (users_table.c.name == 'jack', 'J')
                                ],
                                else_='E'
                            )
                        )

        The above statement will produce SQL resembling::

            SELECT id, name FROM user
            WHERE CASE
                WHEN (name = :name_1) THEN :param_1
                WHEN (name = :name_2) THEN :param_2
                ELSE :param_3
            END

        When simple equality expressions of several values against a single
        parent column are needed, :func:`.case` also has a "shorthand" format
        used via the
        :paramref:`.case.value` parameter, which is passed a column
        expression to be compared.  In this form, the :paramref:`.case.whens`
        parameter is passed as a dictionary containing expressions to be
        compared against keyed to result expressions.  The statement below is
        equivalent to the preceding statement::

            stmt = select([users_table]).\
                        where(
                            case(
                                {"wendy": "W", "jack": "J"},
                                value=users_table.c.name,
                                else_='E'
                            )
                        )

        The values which are accepted as result values in
        :paramref:`.case.whens` as well as with :paramref:`.case.else_` are
        coerced from Python literals into :func:`.bindparam` constructs.
        SQL expressions, e.g. :class:`.ColumnElement` constructs, are accepted
        as well.  To coerce a literal string expression into a constant
        expression rendered inline, use the :func:`.literal_column` construct,
        as in::

            from sqlalchemy import case, literal_column

            case(
                [
                    (
                        orderline.c.qty > 100,
                        literal_column("'greaterthan100'")
                    ),
                    (
                        orderline.c.qty > 10,
                        literal_column("'greaterthan10'")
                    )
                ],
                else_=literal_column("'lessthan10'")
            )

        The above will render the given constants without using bound
        parameters for the result values (but still for the comparison
        values), as in::

            CASE
                WHEN (orderline.qty > :qty_1) THEN 'greaterthan100'
                WHEN (orderline.qty > :qty_2) THEN 'greaterthan10'
                ELSE 'lessthan10'
            END

        :param whens: The criteria to be compared against,
         :paramref:`.case.whens` accepts two different forms, based on
         whether or not :paramref:`.case.value` is used.

         In the first form, it accepts a list of 2-tuples; each 2-tuple
         consists of ``(<sql expression>, <value>)``, where the SQL
         expression is a boolean expression and "value" is a resulting value,
         e.g.::

            case([
                (users_table.c.name == 'wendy', 'W'),
                (users_table.c.name == 'jack', 'J')
            ])

         In the second form, it accepts a Python dictionary of comparison
         values mapped to a resulting value; this form requires
         :paramref:`.case.value` to be present, and values will be compared
         using the ``==`` operator, e.g.::

            case(
                {"wendy": "W", "jack": "J"},
                value=users_table.c.name
            )

        :param value: An optional SQL expression which will be used as a
          fixed "comparison point" for candidate values within a dictionary
          passed to :paramref:`.case.whens`.

        :param else\_: An optional SQL expression which will be the evaluated
          result of the ``CASE`` construct if all expressions within
          :paramref:`.case.whens` evaluate to false.  When omitted, most
          databases will produce a result of NULL if none of the "when"
          expressions evaluate to true.


        iÿÿÿÿN(R
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N(RùR
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N(R~R}RR‚R!RÒRR_R`RŠR…(((sL/home/tvault/.virtenv/lib/python2.7/site-packages/sqlalchemy/sql/elements.pyR
ìsš		cCst|d
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dt
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S(u3Produce a :class:`.ColumnClause` object that has the
    :paramref:`.column.is_literal` flag set to True.

    :func:`.literal_column` is similar to :func:`.column`, except that
    it is more often used as a "standalone" column expression that renders
    exactly as stated; while :func:`.column` stores a string name that
    will be assumed to be part of a table and may be quoted as such,
    :func:`.literal_column` can be that, or any other arbitrary column-oriented
    expression.

    :param text: the text of the expression; can be any SQL expression.
      Quoting rules will not be applied. To specify a column-name expression
      which should be subject to quoting rules, use the :func:`column`
      function.

    :param type\_: an optional :class:`~sqlalchemy.types.TypeEngine`
      object which will
      provide result-set translation and additional expression semantics for
      this column. If left as None the type will be NullType.

    .. seealso::

        :func:`.column`

        :func:`.text`

        :ref:`sqlexpression_literal_column`

    Rt
is_literal(R¯R"(RâR((sL/home/tvault/.virtenv/lib/python2.7/site-packages/sqlalchemy/sql/elements.pytliteral_columnºsR¾cBsAeZ
dZd
Zd„Zed„
Zd„Zed„ƒ
Z	RS(u~
Represent a ``CAST`` expression.

    :class:`.Cast` is produced using the :func:`.cast` factory function,
    as in::

        from sqlalchemy import cast, Numeric

        stmt = select([
                    cast(product_table.c.unit_price, Numeric(10, 4))
                ])

    Details on :class:`.Cast` usage is at :func:`.cast`.

    .. seealso::

        :func:`.cast`

    ucastcCs@tj
|ƒ
|_t|
d
|jƒ

|_t|jƒ
|_dS(uProduce a ``CAST`` expression.

        :func:`.cast` returns an instance of :class:`.Cast`.

        E.g.::

            from sqlalchemy import cast, Numeric

            stmt = select([
                        cast(product_table.c.unit_price, Numeric(10, 4))
                    ])

        The above statement will produce SQL resembling::

            SELECT CAST(unit_price AS NUMERIC(10, 4)) FROM product

        The :func:`.cast` function performs two distinct functions when
        used.  The first is that it renders the ``CAST`` expression within
        the resulting SQL string.  The second is that it associates the given
        type (e.g. :class:`.TypeEngine` class or instance) with the column
        expression on the Python side, which means the expression will take
        on the expression operator behavior associated with that type,
        as well as the bound-value handling and result-row-handling behavior
        of the type.

        .. versionchanged:: 0.9.0 :func:`.cast` now applies the given type
           to the expression such that it takes effect on the bound-value,
           e.g. the Python-to-database direction, in addition to the
           result handling, e.g. database-to-Python, direction.

        An alternative to :func:`.cast` is the :func:`.type_coerce` function.
        This function performs the second task of associating an expression
        with a specific type, but does not render the ``CAST`` expression
        in SQL.

        :param expression: A SQL expression, such as a :class:`.ColumnElement`
         expression or a Python string which will be coerced into a bound
         literal value.

        :param type_: A :class:`.TypeEngine` class or instance indicating
         the type to which the ``CAST`` should apply.

        .. seealso::

            :func:`.type_coerce` - Python-side type coercion without emitting
            CAST.

        RN(RR%RRR2RÙt
typeclause(R>RR((sL/home/tvault/.virtenv/lib/python2.7/site-packages/sqlalchemy/sql/elements.pyRÒñs1

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Z	RS(u=Represent a SQL EXTRACT clause, ``extract(field FROM expr)``.uextractcKs+tj
|_|
|_t|d
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S(u¶Return a :class:`.Extract` construct.

        This is typically available as :func:`.extract`
        as well as ``func.extract`` from the
        :data:`.func` namespace.

        N(RtINTEGERTYPERtfieldRR!R(R>R-
RRT((sL/home/tvault/.virtenv/lib/python2.7/site-packages/sqlalchemy/sql/elements.pyRÒ7	s
	
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		t_label_referencecBs8eZ
dZd
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Wrap a column expression as it appears in a 'reference' context.

    This expression is any that inclues an _order_by_label_element,
    which is a Label, or a DESC / ASC construct wrapping a Label.

    The production of _label_reference() should occur when an expression
    is added to this context; this includes the ORDER BY or GROUP BY of a
    SELECT statement, as well as a few other places, such as the ORDER BY
    within an OVER clause.

    ulabel_referencecCs
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R>((sL/home/tvault/.virtenv/lib/python2.7/site-packages/sqlalchemy/sql/elements.pyR…b	s(	R~R}RR‚RÒRR_RŠR…(((sL/home/tvault/.virtenv/lib/python2.7/site-packages/sqlalchemy/sql/elements.pyR.
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	RwcBsÈeZ
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Define a 'unary' expression.

    A unary expression has a single column expression
    and an operator.  The operator can be placed on the left
    (where it is called the 'operator') or right (where it is called the
    'modifier') of the column expression.

    :class:`.UnaryExpression` is the basis for several unary operators
    including those used by :func:`.desc`, :func:`.asc`, :func:`.distinct`,
    :func:`.nullsfirst` and :func:`.nullslast`.

    uunarycCs[||_||_
|
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|_||_||_dS(NRa(	RutmodifierRbRRR%RRvtwraps_column_expression(R>RRuR1
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cCstt
|
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S(uZProduce the ``NULLS FIRST`` modifier for an ``ORDER BY`` expression.

        :func:`.nullsfirst` is intended to modify the expression produced
        by :func:`.asc` or :func:`.desc`, and indicates how NULL values
        should be handled when they are encountered during ordering::


            from sqlalchemy import desc, nullsfirst

            stmt = select([users_table]).                        order_by(nullsfirst(desc(users_table.c.name)))

        The SQL expression from the above would resemble::

            SELECT id, name FROM user ORDER BY name DESC NULLS FIRST

        Like :func:`.asc` and :func:`.desc`, :func:`.nullsfirst` is typically
        invoked from the column expression itself using
        :meth:`.ColumnElement.nullsfirst`, rather than as its standalone
        function version, as in::

            stmt = (select([users_table]).
                    order_by(users_table.c.name.desc().nullsfirst())
                    )

        .. seealso::

            :func:`.asc`

            :func:`.desc`

            :func:`.nullslast`

            :meth:`.Select.order_by`

        R1
R2
(Rwt_literal_as_label_referenceRt
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cCstt
|
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S(u?Produce the ``NULLS LAST`` modifier for an ``ORDER BY`` expression.

        :func:`.nullslast` is intended to modify the expression produced
        by :func:`.asc` or :func:`.desc`, and indicates how NULL values
        should be handled when they are encountered during ordering::


            from sqlalchemy import desc, nullslast

            stmt = select([users_table]).                        order_by(nullslast(desc(users_table.c.name)))

        The SQL expression from the above would resemble::

            SELECT id, name FROM user ORDER BY name DESC NULLS LAST

        Like :func:`.asc` and :func:`.desc`, :func:`.nullslast` is typically
        invoked from the column expression itself using
        :meth:`.ColumnElement.nullslast`, rather than as its standalone
        function version, as in::

            stmt = select([users_table]).                        order_by(users_table.c.name.desc().nullslast())

        .. seealso::

            :func:`.asc`

            :func:`.desc`

            :func:`.nullsfirst`

            :meth:`.Select.order_by`

        R1
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cCstt
|
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S(u(Produce a descending ``ORDER BY`` clause element.

        e.g.::

            from sqlalchemy import desc

            stmt = select([users_table]).order_by(desc(users_table.c.name))

        will produce SQL as::

            SELECT id, name FROM user ORDER BY name DESC

        The :func:`.desc` function is a standalone version of the
        :meth:`.ColumnElement.desc` method available on all SQL expressions,
        e.g.::


            stmt = select([users_table]).order_by(users_table.c.name.desc())

        :param column: A :class:`.ColumnElement` (e.g. scalar SQL expression)
         with which to apply the :func:`.desc` operation.

        .. seealso::

            :func:`.asc`

            :func:`.nullsfirst`

            :func:`.nullslast`

            :meth:`.Select.order_by`

        R1
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cCstt
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S(u!Produce an ascending ``ORDER BY`` clause element.

        e.g.::

            from sqlalchemy import asc
            stmt = select([users_table]).order_by(asc(users_table.c.name))

        will produce SQL as::

            SELECT id, name FROM user ORDER BY name ASC

        The :func:`.asc` function is a standalone version of the
        :meth:`.ColumnElement.asc` method available on all SQL expressions,
        e.g.::


            stmt = select([users_table]).order_by(users_table.c.name.asc())

        :param column: A :class:`.ColumnElement` (e.g. scalar SQL expression)
         with which to apply the :func:`.asc` operation.

        .. seealso::

            :func:`.desc`

            :func:`.nullsfirst`

            :func:`.nullslast`

            :meth:`.Select.order_by`

        R1
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S(usProduce an column-expression-level unary ``DISTINCT`` clause.

        This applies the ``DISTINCT`` keyword to an individual column
        expression, and is typically contained within an aggregate function,
        as in::

            from sqlalchemy import distinct, func
            stmt = select([func.count(distinct(users_table.c.name))])

        The above would produce an expression resembling::

            SELECT COUNT(DISTINCT name) FROM user

        The :func:`.distinct` function is also available as a column-level
        method, e.g. :meth:`.ColumnElement.distinct`, as in::

            stmt = select([func.count(users_table.c.name.distinct())])

        The :func:`.distinct` operator is different from the
        :meth:`.Select.distinct` method of :class:`.Select`,
        which produces a ``SELECT`` statement
        with ``DISTINCT`` applied to the result set as a whole,
        e.g. a ``SELECT DISTINCT`` expression.  See that method for further
        information.

        .. seealso::

            :meth:`.ColumnElement.distinct`

            :meth:`.Select.distinct`

            :data:`.func`

        RuRR2
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s	RcBs†eZ
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Represent an expression that is ``LEFT <operator> RIGHT``.

    A :class:`.BinaryExpression` is generated automatically
    whenever two column expressions are used in a Python binary expression::

        >>> from sqlalchemy.sql import column
        >>> column('a') + column('b')
        <sqlalchemy.sql.expression.BinaryExpression object at 0x101029dd0>
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