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i����Ni ( t elements( t operators( t type_api( t _bind_or_error( t SchemaEventTarget( t _defer_name( t _literal_as_binds( t quoted_name( t Slice( t
TypeCoerce( t Emulated( t NativeForEmulated( t to_instance( t
TypeDecorator( t
TypeEngine( t Varianti ( t event( t exc( t
inspection( t
processors( t util( t compat( t picklet _LookupExpressionAdapterc B s< e Z d Z e d � � Z d e j f d � � YZ e Z RS( s� Mixin expression adaptations based on lookup tables.
These rules are currently used by the numeric, integer and date types
which have detailed cross-expression coercion rules.
c C s
t � � d S( N( t NotImplementedError( t self( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyt _expression_adaptations7 s t
Comparatorc B s e Z e j � Z d � Z RS( c C s� | j j } | j j j | | j � j | | j � } | | k rO | | j f S| | j j k rn | | j f S| t | � f Sd S( N( t typet _type_affinityR t gett _blank_dictR ( R t opt other_comparatort othertypet lookup( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyt _adapt_expression> s
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immutabledictR R$ ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR ; s ( R% R& t __doc__t propertyR R R t comparator_factory( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR . s t Concatenablec B s- e Z d Z d e j f d � � YZ e Z RS( sO A mixin that marks a type as supporting 'concatenation',
typically strings.R c B s e Z d � Z RS( c C s] | t j k r= t | t j t j f � r= t j | j j f St t j | � j
| | � Sd S( N( R t addt
isinstanceR+ R t NullTypet concat_opt exprR t superR$ ( R R R! ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR$ S s ( R% R& R$ ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR R s ( R% R& R( R R R* ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR+ M s t Indexablec B s- e Z d Z d e j f d � � YZ e Z RS( s� A mixin that marks a type as supporting indexing operations,
such as array or JSON structures.
.. versionadded:: 1.1.0
R c B s e Z d � Z d � Z RS( c C s
t � � d S( N( R ( R t index( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyt _setup_getiteml s c C s. | j | � \ } } } | j | | d | �S( Nt result_type( R4 t operate( R R3 t adjusted_opt adjusted_right_exprR5 ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyt __getitem__o s ( R% R& R4 R9 ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR k s ( R% R& R( R R R* ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR2 a s t Stringc B s� e Z d Z d Z e j d d d d � d d e d e e d � � Z d � Z d � Z
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� Z e d � � Z
d � Z e d
� � Z RS( s� The base for all string and character types.
In SQL, corresponds to VARCHAR. Can also take Python unicode objects
and encode to the database's encoding in bind params (and the reverse for
result sets.)
The `length` field is usually required when the `String` type is
used within a CREATE TABLE statement, as VARCHAR requires a length
on most databases.
t stringt convert_unicodes 1.3s� The :paramref:`.String.convert_unicode` parameter is deprecated and will be removed in a future release. All modern DBAPIs now support Python Unicode directly and this parameter is unnecessary.t
unicode_errors� The :paramref:`.String.unicode_errors` parameter is deprecated and will be removed in a future release. This parameter is unnecessary for modern Python DBAPIs and degrades performance significantly.c C sa | d k r* | d k r* t j d � � n | | _ | | _ | pE | | _ | | _ | | _ d S( s+
Create a string-holding type.
:param length: optional, a length for the column for use in
DDL and CAST expressions. May be safely omitted if no ``CREATE
TABLE`` will be issued. Certain databases may require a
``length`` for use in DDL, and will raise an exception when
the ``CREATE TABLE`` DDL is issued if a ``VARCHAR``
with no length is included. Whether the value is
interpreted as bytes or characters is database specific.
:param collation: Optional, a column-level collation for
use in DDL and CAST expressions. Renders using the
COLLATE keyword supported by SQLite, MySQL, and PostgreSQL.
E.g.::
>>> from sqlalchemy import cast, select, String
>>> print select([cast('some string', String(collation='utf8'))])
SELECT CAST(:param_1 AS VARCHAR COLLATE utf8) AS anon_1
:param convert_unicode: When set to ``True``, the
:class:`.String` type will assume that
input is to be passed as Python Unicode objects under Python 2,
and results returned as Python Unicode objects.
In the rare circumstance that the DBAPI does not support
Python unicode under Python 2, SQLAlchemy will use its own
encoder/decoder functionality on strings, referring to the
value of the :paramref:`.create_engine.encoding` parameter
parameter passed to :func:`.create_engine` as the encoding.
For the extremely rare case that Python Unicode
is to be encoded/decoded by SQLAlchemy on a backend
that *does* natively support Python Unicode,
the string value ``"force"`` can be passed here which will
cause SQLAlchemy's encode/decode services to be
used unconditionally.
.. note::
SQLAlchemy's unicode-conversion flags and features only apply
to Python 2; in Python 3, all string objects are Unicode objects.
For this reason, as well as the fact that virtually all modern
DBAPIs now support Unicode natively even under Python 2,
the :paramref:`.String.convert_unicode` flag is inherently a
legacy feature.
.. note::
In the vast majority of cases, the :class:`.Unicode` or
:class:`.UnicodeText` datatypes should be used for a
:class:`.Column` that expects to store non-ascii data. These
datatypes will ensure that the correct types are used on the
database side as well as set up the correct Unicode behaviors
under Python 2.
.. seealso::
:paramref:`.create_engine.convert_unicode` -
:class:`.Engine`-wide parameter
:param unicode_error: Optional, a method to use to handle Unicode
conversion errors. Behaves like the ``errors`` keyword argument to
the standard library's ``string.decode()`` functions, requires
that :paramref:`.String.convert_unicode` is set to
``"force"``
t forces: convert_unicode must be 'force' when unicode_error is set.N( t NoneR t
ArgumentErrort lengtht collationt _expect_unicodet _expect_unicode_errort _warn_on_bytestring( R RA RB R< R= RE RC ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyt __init__� s \ c s � f d � } | S( Nc s; | j d d � } � j j r3 | j d d � } n d | S( Nt 's ''t %s %%s '%s'( t replacet identifier_preparert _double_percents( t value( t dialect( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyt process� s ( ( R RM RN ( ( RM sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyt literal_processor� s c s� � j s | j r{ | j rG � j d k rG � j r@ d � } | Sd Sn0 t j | j � � � j � � � � f d � } | Sd Sd S( NR> c S s5 t | t j � r1 t j d t j | � f � n | S( Ns6 Unicode type received non-unicode bind param value %r.( R- R t binary_typet warn_limitedt ellipses_string( RL ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRN s
c s[ t | t j � r& � | � j � d S� rW | d k rW t j d t j | � f � n | S( Ni s6 Unicode type received non-unicode bind param value %r.( R- R t text_typeRD R? RQ RR ( RL ( t encoderR t warn_on_bytestring( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRN s ( RC R< t supports_unicode_bindsRE R? t codecst
getencodert encoding( R RM RN ( ( RT R RU sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyt bind_processor� s c C s� | j p | j } | o3 | j t k p3 | j d k } | oQ | j oQ | j d k } | r� | rv t j | j | j � St j | j | j � Sn d Sd S( NR> t
force_nocheck( R> R[ (
RC R< t returns_unicode_stringst TrueR t( to_conditional_unicode_processor_factoryRY RD t to_unicode_processor_factoryR? ( R RM t coltypet
wants_unicodet
needs_convertt needs_isinstance( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyt result_processor& s c C s | j r t j St Sd S( N( RC R RS t str( R ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyt python_type= s c C s | j S( N( t STRING( R t dbapi( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyt get_dbapi_typeD s c C s t j d � d S( Ns The convert_unicode on Engine and String as well as the unicode_error flag on String are deprecated. All modern DBAPIs now support Python Unicode natively under Python 2, and under Python 3 all strings are inherently Unicode. These flags will be removed in a future release.( R t warn_deprecated( t cls( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyt _warn_deprecated_unicodeG s ( s 1.3s� The :paramref:`.String.convert_unicode` parameter is deprecated and will be removed in a future release. All modern DBAPIs now support Python Unicode directly and this parameter is unnecessary.( s 1.3s� The :paramref:`.String.unicode_errors` parameter is deprecated and will be removed in a future release. This parameter is unnecessary for modern Python DBAPIs and degrades performance significantly.N( R% R& R( t __visit_name__R t deprecated_paramsR? t FalseRF RO RZ Rd R) Rf Ri t classmethodRl ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR: | s& Q ' t Textc B s e Z d Z d Z RS( sj A variably sized string type.
In SQL, usually corresponds to CLOB or TEXT. Can also take Python
unicode objects and encode to the database's encoding in bind
params (and the reverse for result sets.) In general, TEXT objects
do not have a length; while some databases will accept a length
argument here, it will be rejected by others.
t text( R% R& R( Rm ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRq R s
t Unicodec B s e Z d Z d Z d d � Z RS( s� A variable length Unicode string type.
The :class:`.Unicode` type is a :class:`.String` subclass
that assumes input and output as Python ``unicode`` data,
and in that regard is equivalent to the usage of the
``convert_unicode`` flag with the :class:`.String` type.
However, unlike plain :class:`.String`, it also implies an
underlying column type that is explicitly supporting of non-ASCII
data, such as ``NVARCHAR`` on Oracle and SQL Server.
This can impact the output of ``CREATE TABLE`` statements
and ``CAST`` functions at the dialect level, and can
also affect the handling of bound parameters in some
specific DBAPI scenarios.
The encoding used by the :class:`.Unicode` type is usually
determined by the DBAPI itself; most modern DBAPIs
feature support for Python ``unicode`` objects as bound
values and result set values, and the encoding should
be configured as detailed in the notes for the target
DBAPI in the :ref:`dialect_toplevel` section.
For those DBAPIs which do not support, or are not configured
to accommodate Python ``unicode`` objects
directly, SQLAlchemy does the encoding and decoding
outside of the DBAPI. The encoding in this scenario
is determined by the ``encoding`` flag passed to
:func:`.create_engine`.
When using the :class:`.Unicode` type, it is only appropriate
to pass Python ``unicode`` objects, and not plain ``str``.
If a plain ``str`` is passed under Python 2, a warning
is emitted. If you notice your application emitting these warnings but
you're not sure of the source of them, the Python
``warnings`` filter, documented at
http://docs.python.org/library/warnings.html,
can be used to turn these warnings into exceptions
which will illustrate a stack trace::
import warnings
warnings.simplefilter('error')
For an application that wishes to pass plain bytestrings
and Python ``unicode`` objects to the ``Unicode`` type
equally, the bytestrings must first be decoded into
unicode. The recipe at :ref:`coerce_to_unicode` illustrates
how this is done.
.. seealso::
:class:`.UnicodeText` - unlengthed textual counterpart
to :class:`.Unicode`.
t unicodec K s@ | j d t � | j d t � t t | � j d | | � d S( s�
Create a :class:`.Unicode` object.
Parameters are the same as that of :class:`.String`,
with the exception that ``convert_unicode``
defaults to ``True``.
RC RE RA N( t
setdefaultR] R1 Rs RF ( R RA t kwargs( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRF � s N( R% R& R( Rm R? RF ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRs a s 6t UnicodeTextc B s) e Z d Z d Z d d � Z d � Z RS( s# An unbounded-length Unicode string type.
See :class:`.Unicode` for details on the unicode
behavior of this object.
Like :class:`.Unicode`, usage the :class:`.UnicodeText` type implies a
unicode-capable type being used on the backend, such as
``NCLOB``, ``NTEXT``.
t unicode_textc K s@ | j d t � | j d t � t t | � j d | | � d S( s�
Create a Unicode-converting Text type.
Parameters are the same as that of :class:`.Text`,
with the exception that ``convert_unicode``
defaults to ``True``.
RC RE RA N( Ru R] R1 Rw RF ( R RA Rv ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRF � s c C s d S( N( ( R ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRl � s N( R% R& R( Rm R? RF Rl ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRw � s
t Integerc B sG e Z d Z d Z d � Z e d � � Z d � Z e j d � � Z
RS( s A type for ``int`` integers.t integerc C s | j S( N( t NUMBER( R Rh ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRi � s c C s t S( N( t int( R ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRf � s c C s
d � } | S( Nc S s
t | � S( N( Re ( RL ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRN � s ( ( R RM RN ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRO � s c C s� i i t t 6| j t 6t t 6t j 6i t t 6| j t 6t t 6t j 6i | j t 6t t 6t j 6i | j t 6t t 6t j 6i | j t 6t t 6t j
6S( N( t Datet __class__Ry t NumericR R, t Intervalt mult divt truedivt sub( R ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR � s
( R% R& R( Rm Ri R) Rf RO R t memoized_propertyR ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRy � s t SmallIntegerc B s e Z d Z d Z RS( s� A type for smaller ``int`` integers.
Typically generates a ``SMALLINT`` in DDL, and otherwise acts like
a normal :class:`.Integer` on the Python side.
t
small_integer( R% R& R( Rm ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR� � s t
BigIntegerc B s e Z d Z d Z RS( s� A type for bigger ``int`` integers.
Typically generates a ``BIGINT`` in DDL, and otherwise acts like
a normal :class:`.Integer` on the Python side.
t big_integer( R% R& R( Rm ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR� � s R c B s� e Z d Z d Z d Z d d d e d � Z e d � � Z d � Z
d � Z e d � � Z d � Z
d � Z e j d
� � Z RS( s� A type for fixed precision numbers, such as ``NUMERIC`` or ``DECIMAL``.
This type returns Python ``decimal.Decimal`` objects by default, unless
the :paramref:`.Numeric.asdecimal` flag is set to False, in which case
they are coerced to Python ``float`` objects.
.. note::
The :class:`.Numeric` type is designed to receive data from a database
type that is explicitly known to be a decimal type
(e.g. ``DECIMAL``, ``NUMERIC``, others) and not a floating point
type (e.g. ``FLOAT``, ``REAL``, others).
If the database column on the server is in fact a floating-point type
type, such as ``FLOAT`` or ``REAL``, use the :class:`.Float`
type or a subclass, otherwise numeric coercion between
``float``/``Decimal`` may or may not function as expected.
.. note::
The Python ``decimal.Decimal`` class is generally slow
performing; cPython 3.3 has now switched to use the `cdecimal
<http://pypi.python.org/pypi/cdecimal/>`_ library natively. For
older Python versions, the ``cdecimal`` library can be patched
into any application where it will replace the ``decimal``
library fully, however this needs to be applied globally and
before any other modules have been imported, as follows::
import sys
import cdecimal
sys.modules["decimal"] = cdecimal
Note that the ``cdecimal`` and ``decimal`` libraries are **not
compatible with each other**, so patching ``cdecimal`` at the
global level is the only way it can be used effectively with
various DBAPIs that hardcode to import the ``decimal`` library.
t numerici
c C s( | | _ | | _ | | _ | | _ d S( s�
Construct a Numeric.
:param precision: the numeric precision for use in DDL ``CREATE
TABLE``.
:param scale: the numeric scale for use in DDL ``CREATE TABLE``.
:param asdecimal: default True. Return whether or not
values should be sent as Python Decimal objects, or
as floats. Different DBAPIs send one or the other based on
datatypes - the Numeric type will ensure that return values
are one or the other across DBAPIs consistently.
:param decimal_return_scale: Default scale to use when converting
from floats to Python decimals. Floating point values will typically
be much longer due to decimal inaccuracy, and most floating point
database types don't have a notion of "scale", so by default the
float type looks for the first ten decimal places when converting.
Specifying this value will override that length. Types which
do include an explicit ".scale" value, such as the base
:class:`.Numeric` as well as the MySQL float types, will use the
value of ".scale" as the default for decimal_return_scale, if not
otherwise specified.
.. versionadded:: 0.9.0
When using the ``Numeric`` type, care should be taken to ensure
that the asdecimal setting is appropriate for the DBAPI in use -
when Numeric applies a conversion from Decimal->float or float->
Decimal, this conversion incurs an additional performance overhead
for all result columns received.
DBAPIs that return Decimal natively (e.g. psycopg2) will have
better accuracy and higher performance with a setting of ``True``,
as the native translation to Decimal reduces the amount of floating-
point issues at play, and the Numeric type itself doesn't need
to apply any further conversions. However, another DBAPI which
returns floats natively *will* incur an additional conversion
overhead, and is still subject to floating point data loss - in
which case ``asdecimal=False`` will at least remove the extra
conversion overhead.
N( t precisiont scalet decimal_return_scalet asdecimal( R R� R� R� R� ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRF 5 s 3 c C s@ | j d k r | j St | d d � d k r5 | j S| j Sd S( NR� ( R� R? t getattrR� t _default_decimal_return_scale( R ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyt _effective_decimal_return_scalem s
c C s | j S( N( R{ ( R Rh ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRi v s c C s
d � } | S( Nc S s
t | � S( N( Re ( RL ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRN z s ( ( R RM RN ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRO y s c C s | j r t j St Sd S( N( R� t decimalt Decimalt float( R ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRf s c C s | j r
d St j Sd S( N( t supports_native_decimalR? R t to_float( R RM ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRZ � s c C s| | j rd | j r d St j d | j | j f � t j t j
| j d k rW | j n | j � Sn | j rt t j
Sd Sd S( Ns� Dialect %s+%s does *not* support Decimal objects natively, and SQLAlchemy must convert from floating point - rounding errors and other issues may occur. Please consider storing Decimal numbers as strings or integers on this platform for lossless storage.( R� R� R? R t warnt namet driverR t to_decimal_processor_factoryR� R� R� R� R� ( R RM R` ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRd � s
c C s� i i t t 6| j t 6| j t 6t j 6i | j t 6| j t 6t j 6i | j t 6| j t 6t j 6i | j t 6| j t 6t j 6i | j t 6| j t 6t j 6S( N(
R� R~ R Ry R R� R� R� R, R� ( R ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR � s
N( R% R& R( Rm R� R? R] RF R) R� Ri RO Rf RZ Rd R R� R ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR s & 3 t Floatc B s5 e Z d Z d Z d Z d e d d � Z d � Z RS( s. Type representing floating point types, such as ``FLOAT`` or ``REAL``.
This type returns Python ``float`` objects by default, unless the
:paramref:`.Float.asdecimal` flag is set to True, in which case they
are coerced to ``decimal.Decimal`` objects.
.. note::
The :class:`.Float` type is designed to receive data from a database
type that is explicitly known to be a floating point type
(e.g. ``FLOAT``, ``REAL``, others)
and not a decimal type (e.g. ``DECIMAL``, ``NUMERIC``, others).
If the database column on the server is in fact a Numeric
type, such as ``DECIMAL`` or ``NUMERIC``, use the :class:`.Numeric`
type or a subclass, otherwise numeric coercion between
``float``/``Decimal`` may or may not function as expected.
R� c C s | | _ | | _ | | _ d S( s�
Construct a Float.
:param precision: the numeric precision for use in DDL ``CREATE
TABLE``.
:param asdecimal: the same flag as that of :class:`.Numeric`, but
defaults to ``False``. Note that setting this flag to ``True``
results in floating point conversion.
:param decimal_return_scale: Default scale to use when converting
from floats to Python decimals. Floating point values will typically
be much longer due to decimal inaccuracy, and most floating point
database types don't have a notion of "scale", so by default the
float type looks for the first ten decimal places when converting.
Specifying this value will override that length. Note that the
MySQL float types, which do include "scale", will use "scale"
as the default for decimal_return_scale, if not otherwise specified.
.. versionadded:: 0.9.0
N( R� R� R� ( R R� R� R� ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRF � s c C s7 | j r t j t j | j � S| j r/ t j Sd Sd S( N( R� R R� R� R� R� R� R� R? ( R RM R` ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRd � s N( R% R& R( Rm R? R� Ro RF Rd ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR� � s
t DateTimec B sJ e Z d Z d Z e d � Z d � Z e d � � Z e j
d � � Z RS( s A type for ``datetime.datetime()`` objects.
Date and time types return objects from the Python ``datetime``
module. Most DBAPIs have built in support for the datetime
module, with the noted exception of SQLite. In the case of
SQLite, date and time types are stored as strings which are then
converted back to datetime objects when rows are returned.
For the time representation within the datetime type, some
backends include additional options, such as timezone support and
fractional seconds support. For fractional seconds, use the
dialect-specific datatype, such as :class:`.mysql.TIME`. For
timezone support, use at least the :class:`~.types.TIMESTAMP` datatype,
if not the dialect-specific datatype object.
t datetimec C s
| | _ d S( s� Construct a new :class:`.DateTime`.
:param timezone: boolean. Indicates that the datetime type should
enable timezone support, if available on the
**base date/time-holding type only**. It is recommended
to make use of the :class:`~.types.TIMESTAMP` datatype directly when
using this flag, as some databases include separate generic
date/time-holding types distinct from the timezone-capable
TIMESTAMP datatype, such as Oracle.
N( t timezone( R R� ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRF s
c C s | j S( N( t DATETIME( R Rh ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRi s c C s t j S( N( t dtR� ( R ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRf # s c C s3 i i | j t 6t j 6i | j t 6t t 6t j 6S( N( R~ R� R R, R� R� ( R ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR ' s ( R% R& R( Rm Ro RF Ri R) Rf R R� R ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR� � s R} c B s> e Z d Z d Z d � Z e d � � Z e j d � � Z RS( s' A type for ``datetime.date()`` objects.t datec C s | j S( N( R� ( R Rh ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRi 9 s c C s t j S( N( R� R� ( R ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRf < s c C sO i i | j t 6t t 6t t 6t j 6i | j t 6t t 6t t 6t t 6t j 6S( N( R~ Ry R� R� t TimeR R, R} R� ( R ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR @ s
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R� c B sJ e Z d Z d Z e d � Z d � Z e d � � Z e j
d � � Z RS( s' A type for ``datetime.time()`` objects.t timec C s
| | _ d S( N( R� ( R R� ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRF _ s c C s | j S( N( R� ( R Rh ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRi b s c C s t j S( N( R� R� ( R ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRf e s c C s: i i t t 6| j t 6t j 6i t t 6| j t 6t j 6S( N( R� R} R~ R� R R, R� R� ( R ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR i s ( R% R& R( Rm Ro RF Ri R) Rf R R� R ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR� Y s t _Binaryc B sk e Z d Z d d � Z d � Z e d � � Z d � Z e j
rN d � Z n d � Z d � Z d � Z
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s& Define base behavior for binary types.c C s
| | _ d S( N( RA ( R RA ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRF x s c s � f d � } | S( Nc s& | j � j � j d d � } d | S( NRG s ''s '%s'( t decodeRY RI ( RL ( RM ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRN | s ( ( R RM RN ( ( RM sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRO { s c C s t j S( N( R RP ( R ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRf � s c s2 | j d k r d S| j j � � f d � } | S( Nc s | d k r � | � Sd Sd S( N( R? ( RL ( t DBAPIBinary( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRN � s
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c C s" t j r d � } n t j } | S( Nc S s: | d k r2 t | t j � r( | j � St | � Sd Sd S( N( R? R- t arrayt tostringRe ( RL ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRN � s
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d � } | S( Nc S s | d k r t | � } n | S( N( R? t bytes( RL ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRN � s ( ( R RM R` RN ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRd � s c C s3 t | t j � r | St t | � j | | � Sd S( s@ See :meth:`.TypeEngine.coerce_compared_value` for a description.N( R- R t string_typesR1 R� t coerce_compared_value( R R RL ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR� � s c C s | j S( N( t BINARY( R Rh ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRi � s N( R% R& R( R? RF RO R) Rf RZ R t py2kRd R� Ri ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR� t s t LargeBinaryc B s e Z d Z d Z d d � Z RS( s A type for large binary byte data.
The :class:`.LargeBinary` type corresponds to a large and/or unlengthed
binary type for the target platform, such as BLOB on MySQL and BYTEA for
PostgreSQL. It also handles the necessary conversions for the DBAPI.
t large_binaryc C s t j | d | �d S( s�
Construct a LargeBinary type.
:param length: optional, a length for the column for use in
DDL statements, for those binary types that accept a length,
such as the MySQL BLOB type.
RA N( R� RF ( R RA ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRF � s N( R% R& R( Rm R? RF ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR� � s s 0.6ss The :class:`.Binary` class is deprecated and will be removed in a future relase. Please use :class:`.LargeBinary`.R� c B s e Z d � Z RS( c O s t j | | | � d S( N( R� RF ( R t argt kw( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRF � s ( R% R& RF ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR� � s t
SchemaTypec B s� e Z d Z d d d e d e d � Z d � Z d � Z d � Z d � Z
d � Z d � Z e
d � � Z d e d � Z d e d
� Z d � Z d � Z d
� Z d � Z d � Z RS( s[ Mark a type as possibly requiring schema-level DDL for usage.
Supports types that must be explicitly created/dropped (i.e. PG ENUM type)
as well as types that are complimented by table or schema level
constraints, triggers, and other rules.
:class:`.SchemaType` classes can also be targets for the
:meth:`.DDLEvents.before_parent_attach` and
:meth:`.DDLEvents.after_parent_attach` events, where the events fire off
surrounding the association of the type object with a parent
:class:`.Column`.
.. seealso::
:class:`.Enum`
:class:`.Boolean`
c C s� | d k r! t | | � | _ n d | _ | | _ | | _ | | _ | | _ | r� | j r� t j | j d t j
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before_createt
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R? R R� t schemat metadatat inherit_schemat _create_eventsR t listenR t portable_instancemethodt _on_metadata_createt _on_metadata_drop( R R� R� R� R� t quoteR� ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRF � s c C s | j | | � S( N( R ( R t effective_schemat map_( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyt _translate_schema s c C s | j t j | j � � d S( N( t _on_table_attachR R� t
_set_table( R t column( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyt _set_parent s c C sA t | j t � r7 | j j j � } | j j | d <n d } | S( Nt _default( R- R R t mappingt copyt implR? ( R R� t variant_mapping( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyt _variant_mapping_for_set_table s
c C s� | j r | j | _ n | j s% d S| j | � } t j | d t j | j i | d 6� � t j | d t j | j i | d 6� � | j
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i | d 6� � n d S( NR� R� R� ( R� R� R� R� R R� R R� t _on_table_createt _on_table_dropR� R? R� R� ( R R� t tableR� ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR� % s8 c K s | j | j d t �S( NR� ( t adaptR~ R] ( R R� ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR� P s c K sj | j d | j � } | j d | j � } | j d t � } | d | j d | d | j d | d | | � S( NR� R� R� R� R� ( t popR� R� Ro R� R� ( R t impltypeR� R� R� R� ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR� S s c C s | j r | j j p d S( N( R� t bindR? ( R ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR� ` s c C sk | d k r t | � } n | j | j � } | j | j k rg t | t � rg | j d | d | � n d S( s. Issue CREATE ddl for this type, if applicable.R� t
checkfirstN( R? R t dialect_implRM R~ R- R� t create( R R� R� t t( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR� d s
!c C sk | d k r t | � } n | j | j � } | j | j k rg t | t � rg | j d | d | � n d S( s, Issue DROP ddl for this type, if applicable.R� R� N( R? R R� RM R~ R- R� t drop( R R� R� R� ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR� m s
!c K sf | j | j | � s d S| j | j � } | j | j k rb t | t � rb | j | | | � n d S( N( t _is_impl_for_variantRM R� R~ R- R� R� ( R t targetR� R� R� ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR� v s
!c K sf | j | j | � s d S| j | j � } | j | j k rb t | t � rb | j | | | � n d S( N( R� RM R� R~ R- R� R� ( R R� R� R� R� ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR� ~ s
!c K sf | j | j | � s d S| j | j � } | j | j k rb t | t � rb | j | | | � n d S( N( R� RM R� R~ R- R� R� ( R R� R� R� R� ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR� � s
!c K sf | j | j | � s d S| j | j � } | j | j k rb t | t � rb | j | | | � n d S( N( R� RM R� R~ R- R� R� ( R R� R� R� R� ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR� � s
!c C si | j d d � } | d k r" t S| j | k rH | | j | k rH t S| j | k re | d | k Sd S( NR� R� ( R� R? R] R� ( R RM R� R� ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR� � s N( R% R& R( R? Ro R] RF R� R� R� R� R� R� R) R� R� R� R� R� R� R� R� ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR� � s* +
t Enumc B s e Z d Z d Z e j d d � d � � Z e d � � Z d � Z d � Z
d � Z e d
� � Z d � Z
d e j f d
� � YZ e Z d � Z d � Z d � Z d � Z d � Z e j d � d � � Z d � Z d � Z d � Z d � Z e d � � Z RS( sT Generic Enum Type.
The :class:`.Enum` type provides a set of possible string values
which the column is constrained towards.
The :class:`.Enum` type will make use of the backend's native "ENUM"
type if one is available; otherwise, it uses a VARCHAR datatype and
produces a CHECK constraint. Use of the backend-native enum type
can be disabled using the :paramref:`.Enum.native_enum` flag, and
the production of the CHECK constraint is configurable using the
:paramref:`.Enum.create_constraint` flag.
The :class:`.Enum` type also provides in-Python validation of string
values during both read and write operations. When reading a value
from the database in a result set, the string value is always checked
against the list of possible values and a ``LookupError`` is raised
if no match is found. When passing a value to the database as a
plain string within a SQL statement, if the
:paramref:`.Enum.validate_strings` parameter is
set to True, a ``LookupError`` is raised for any string value that's
not located in the given list of possible values; note that this
impacts usage of LIKE expressions with enumerated values (an unusual
use case).
.. versionchanged:: 1.1 the :class:`.Enum` type now provides in-Python
validation of input values as well as on data being returned by
the database.
The source of enumerated values may be a list of string values, or
alternatively a PEP-435-compliant enumerated class. For the purposes
of the :class:`.Enum` datatype, this class need only provide a
``__members__`` method.
When using an enumerated class, the enumerated objects are used
both for input and output, rather than strings as is the case with
a plain-string enumerated type::
import enum
class MyEnum(enum.Enum):
one = 1
two = 2
three = 3
t = Table(
'data', MetaData(),
Column('value', Enum(MyEnum))
)
connection.execute(t.insert(), {"value": MyEnum.two})
assert connection.scalar(t.select()) is MyEnum.two
Above, the string names of each element, e.g. "one", "two", "three",
are persisted to the database; the values of the Python Enum, here
indicated as integers, are **not** used; the value of each enum can
therefore be any kind of Python object whether or not it is persistable.
In order to persist the values and not the names, the
:paramref:`.Enum.values_callable` parameter may be used. The value of
this parameter is a user-supplied callable, which is intended to be used
with a PEP-435-compliant enumerated class and returns a list of string
values to be persisted. For a simple enumeration that uses string values,
a callable such as ``lambda x: [e.value for e in x]`` is sufficient.
.. versionadded:: 1.1 - support for PEP-435-style enumerated
classes.
.. seealso::
:class:`.postgresql.ENUM` - PostgreSQL-specific type,
which has additional functionality.
:class:`.mysql.ENUM` - MySQL-specific type
t enumR< s 1.3s� The :paramref:`.Enum.convert_unicode` parameter is deprecated and will be removed in a future release. All modern DBAPIs now support Python Unicode directly and this parameter is unnecessary.c O s | j | | � d S( s� Construct an enum.
Keyword arguments which don't apply to a specific backend are ignored
by that backend.
:param \*enums: either exactly one PEP-435 compliant enumerated type
or one or more string or unicode enumeration labels. If unicode
labels are present, the `convert_unicode` flag is auto-enabled.
.. versionadded:: 1.1 a PEP-435 style enumerated class may be
passed.
:param convert_unicode: Enable unicode-aware bind parameter and
result-set processing for this Enum's data. This is set
automatically based on the presence of unicode label strings.
:param create_constraint: defaults to True. When creating a non-native
enumerated type, also build a CHECK constraint on the database
against the valid values.
.. versionadded:: 1.1 - added :paramref:`.Enum.create_constraint`
which provides the option to disable the production of the
CHECK constraint for a non-native enumerated type.
:param metadata: Associate this type directly with a ``MetaData``
object. For types that exist on the target database as an
independent schema construct (PostgreSQL), this type will be
created and dropped within ``create_all()`` and ``drop_all()``
operations. If the type is not associated with any ``MetaData``
object, it will associate itself with each ``Table`` in which it is
used, and will be created when any of those individual tables are
created, after a check is performed for its existence. The type is
only dropped when ``drop_all()`` is called for that ``Table``
object's metadata, however.
:param name: The name of this type. This is required for PostgreSQL
and any future supported database which requires an explicitly
named type, or an explicitly named constraint in order to generate
the type and/or a table that uses it. If a PEP-435 enumerated
class was used, its name (converted to lower case) is used by
default.
:param native_enum: Use the database's native ENUM type when
available. Defaults to True. When False, uses VARCHAR + check
constraint for all backends.
:param schema: Schema name of this type. For types that exist on the
target database as an independent schema construct (PostgreSQL),
this parameter specifies the named schema in which the type is
present.
.. note::
The ``schema`` of the :class:`.Enum` type does not
by default make use of the ``schema`` established on the
owning :class:`.Table`. If this behavior is desired,
set the ``inherit_schema`` flag to ``True``.
:param quote: Set explicit quoting preferences for the type's name.
:param inherit_schema: When ``True``, the "schema" from the owning
:class:`.Table` will be copied to the "schema" attribute of this
:class:`.Enum`, replacing whatever value was passed for the
``schema`` attribute. This also takes effect when using the
:meth:`.Table.tometadata` operation.
:param validate_strings: when True, string values that are being
passed to the database in a SQL statement will be checked
for validity against the list of enumerated values. Unrecognized
values will result in a ``LookupError`` being raised.
.. versionadded:: 1.1.0b2
:param values_callable: A callable which will be passed the PEP-435
compliant enumerated type, which should then return a list of string
values to be persisted. This allows for alternate usages such as
using the string value of an enum to be persisted to the database
instead of its name.
.. versionadded:: 1.2.3
N( t
_enum_init( R t enumsR� ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRF � s \c C s$ | j d k r | j g S| j Sd S( N( t
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c C s� | j d t � | _ | j d t � | _ | j d d � | _ | j | | � \ } } | j | | | � | j d d � } | j d t � | _ | d k r� x< | j
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t � d | j d d � d | j d t � �d S( s� internal init for :class:`.Enum` and subclasses.
friendly init helper used by subclasses to remove
all the Enum-specific keyword arguments from kw. Allows all
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the way out, allowing any pickleable Python object to be stored as
a serialized binary field.
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with :class:`.PickleType`, see :ref:`mutable_toplevel`.
c C s8 | | _ | p t | _ | | _ t t | � j � d S( s�
Construct a PickleType.
:param protocol: defaults to ``pickle.HIGHEST_PROTOCOL``.
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cPickle is not available. May be any object with
pickle-compatible ``dumps` and ``loads`` methods.
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d � d � � Z e d � � Z
e d e e g � Z d � Z d � Z d � Z d
� Z RS( sB A bool datatype.
:class:`.Boolean` typically uses BOOLEAN or SMALLINT on the DDL side,
and on the Python side deals in ``True`` or ``False``.
The :class:`.Boolean` datatype currently has two levels of assertion
that the values persisted are simple true/false values. For all
backends, only the Python values ``None``, ``True``, ``False``, ``1``
or ``0`` are accepted as parameter values. For those backends that
don't support a "native boolean" datatype, a CHECK constraint is also
created on the target column. Production of the CHECK constraint
can be disabled by passing the :paramref:`.Boolean.create_constraint`
flag set to ``False``.
.. versionchanged:: 1.2 the :class:`.Boolean` datatype now asserts that
incoming Python values are already in pure boolean form.
t booleanc C s | | _ | | _ | | _ d S( sL Construct a Boolean.
:param create_constraint: defaults to True. If the boolean
is generated as an int/smallint, also create a CHECK constraint
on the table that ensures 1 or 0 as a value.
:param name: if a CHECK constraint is generated, specify
the name of the constraint.
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t _AbstractIntervalc B s2 e Z e j d � � Z e d � � Z d � Z RS( c C s} i i t t 6| j t 6t t 6t t 6t j 6i | j t 6t j 6i | j t 6t j 6i | j t 6t j
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c C s t S( N( R� ( R ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR s c C s | j j | | � S( s@ See :meth:`.TypeEngine.coerce_compared_value` for a description.( R� R� ( R R RL ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR� s ( R% R& R R� R R) R R� ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR/ s R� c B sb e Z d Z e Z e j j d � Z e d d d � Z e d � � Z
d � Z d � Z d � Z RS( s� A type for ``datetime.timedelta()`` objects.
The Interval type deals with ``datetime.timedelta`` objects. In
PostgreSQL, the native ``INTERVAL`` type is used; for others, the
value is stored as a date which is relative to the "epoch"
(Jan. 1, 1970).
Note that the ``Interval`` type does not currently provide date arithmetic
operations on platforms which do not support interval types natively. Such
operations usually require transformation of both sides of the expression
(such as, conversion of both sides into integer epoch values first) which
currently is a manual procedure (such as via
:attr:`~sqlalchemy.sql.expression.func`).
i c C s2 t t | � j � | | _ | | _ | | _ d S( s; Construct an Interval object.
:param native: when True, use the actual
INTERVAL type provided by the database, if
supported (currently PostgreSQL, Oracle).
Otherwise, represent the interval data as
an epoch value regardless.
:param second_precision: For native interval types
which support a "fractional seconds precision" parameter,
i.e. Oracle and PostgreSQL
:param day_precision: for native interval types which
support a "day precision" parameter, i.e. Oracle.
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f d � � YZ d e f d � � YZ d e f d � � YZ
d
e j e j f d � � YZ e Z e d � � Z e d
� � Z e j d � � Z e j d � � Z d � Z d � Z RS( sx Represent a SQL JSON type.
.. note:: :class:`.types.JSON` is provided as a facade for vendor-specific
JSON types. Since it supports JSON SQL operations, it only
works on backends that have an actual JSON type, currently:
* PostgreSQL
* MySQL as of version 5.7 (MariaDB as of the 10.2 series does not)
* SQLite as of version 3.9
:class:`.types.JSON` is part of the Core in support of the growing
popularity of native JSON datatypes.
The :class:`.types.JSON` type stores arbitrary JSON format data, e.g.::
data_table = Table('data_table', metadata,
Column('id', Integer, primary_key=True),
Column('data', JSON)
)
with engine.connect() as conn:
conn.execute(
data_table.insert(),
data = {"key1": "value1", "key2": "value2"}
)
The base :class:`.types.JSON` provides these operations:
* Keyed index operations::
data_table.c.data['some key']
* Integer index operations::
data_table.c.data[3]
* Path index operations::
data_table.c.data[('key_1', 'key_2', 5, ..., 'key_n')]
Additional operations are available from the dialect-specific versions
of :class:`.types.JSON`, such as :class:`.postgresql.JSON` and
:class:`.postgresql.JSONB`, each of which offer more operators than
just the basic type.
Index operations return an expression object whose type defaults to
:class:`.JSON` by default, so that further JSON-oriented instructions may
be called upon the result type. Note that there are backend-specific
idiosyncrasies here, including that the PostgreSQL database does not
generally compare a "json" to a "json" structure without type casts. These
idiosyncrasies can be accommodated in a backend-neutral way by making
explicit use of the :func:`.cast` and :func:`.type_coerce` constructs.
Comparison of specific index elements of a :class:`.JSON` object to other
objects works best if the **left hand side is CAST to a string** and the
**right hand side is rendered as a JSON string**; a future SQLAlchemy
feature such as a generic "astext" modifier may simplify this at some
point:
* **Compare an element of a JSON structure to a string**::
from sqlalchemy import cast, type_coerce
from sqlalchemy import String, JSON
cast(
data_table.c.data['some_key'], String
) == '"some_value"'
cast(
data_table.c.data['some_key'], String
) == type_coerce("some_value", JSON)
* **Compare an element of a JSON structure to an integer**::
from sqlalchemy import cast, type_coerce
from sqlalchemy import String, JSON
cast(data_table.c.data['some_key'], String) == '55'
cast(
data_table.c.data['some_key'], String
) == type_coerce(55, JSON)
* **Compare an element of a JSON structure to some other JSON structure**
- note that Python dictionaries are typically not ordered so care should
be taken here to assert that the JSON structures are identical::
from sqlalchemy import cast, type_coerce
from sqlalchemy import String, JSON
import json
cast(
data_table.c.data['some_key'], String
) == json.dumps({"foo": "bar"})
cast(
data_table.c.data['some_key'], String
) == type_coerce({"foo": "bar"}, JSON)
The :class:`.JSON` type, when used with the SQLAlchemy ORM, does not
detect in-place mutations to the structure. In order to detect these, the
:mod:`sqlalchemy.ext.mutable` extension must be used. This extension will
allow "in-place" changes to the datastructure to produce events which
will be detected by the unit of work. See the example at :class:`.HSTORE`
for a simple example involving a dictionary.
When working with NULL values, the :class:`.JSON` type recommends the
use of two specific constants in order to differentiate between a column
that evaluates to SQL NULL, e.g. no value, vs. the JSON-encoded string
of ``"null"``. To insert or select against a value that is SQL NULL,
use the constant :func:`.null`::
from sqlalchemy import null
conn.execute(table.insert(), json_value=null())
To insert or select against a value that is JSON ``"null"``, use the
constant :attr:`.JSON.NULL`::
conn.execute(table.insert(), json_value=JSON.NULL)
The :class:`.JSON` type supports a flag
:paramref:`.JSON.none_as_null` which when set to True will result
in the Python constant ``None`` evaluating to the value of SQL
NULL, and when set to False results in the Python constant
``None`` evaluating to the value of JSON ``"null"``. The Python
value ``None`` may be used in conjunction with either
:attr:`.JSON.NULL` and :func:`.null` in order to indicate NULL
values, but care must be taken as to the value of the
:paramref:`.JSON.none_as_null` in these cases.
.. seealso::
:class:`.postgresql.JSON`
:class:`.postgresql.JSONB`
:class:`.mysql.JSON`
.. versionadded:: 1.1
R5 t JSON_NULLc C s
| | _ d S( s Construct a :class:`.types.JSON` type.
:param none_as_null=False: if True, persist the value ``None`` as a
SQL NULL value, not the JSON encoding of ``null``. Note that
when this flag is False, the :func:`.null` construct can still
be used to persist a NULL value::
from sqlalchemy import null
conn.execute(table.insert(), data=null())
.. note::
:paramref:`.JSON.none_as_null` does **not** apply to the
values passed to :paramref:`.Column.default` and
:paramref:`.Column.server_default`; a value of ``None``
passed for these parameters means "no default present".
.. seealso::
:attr:`.types.JSON.NULL`
N( t none_as_null( R R7 ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRF 5 s t JSONElementTypec B sD e Z d Z e � Z e � Z d � Z d � Z d � Z d � Z
RS( s? common function for index / path elements in a JSON expression.c C s | j j | � S( N( t _stringt _cached_bind_processor( R RM ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyt string_bind_processorT s c C s | j j | � S( N( R9 t _cached_literal_processor( R RM ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyt string_literal_processorW s c s7 | j j | � � | j | � � � � f d � } | S( Nc sO � r$ t | t � r$ � | � } n' � rK t | t j � rK � | � } n | S( N( R- R| R R� ( RL ( t
int_processort string_processor( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRN ^ s
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( R@ R< R= ( R RM RN ( ( R> R? sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRO g s ( R% R& R( Ry R@ R: R9 R; R= RZ RO ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR8 N s
t
JSONIndexTypec B s e Z d Z RS( s� Placeholder for the datatype of a JSON index value.
This allows execution-time processing of JSON index values
for special syntaxes.
( R% R& R( ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRA t s t JSONPathTypec B s e Z d Z RS( s� Placeholder type for JSON path operations.
This allows execution-time processing of a path-based
index value into a specific SQL syntax.
( R% R& R( ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRB | s R c B s& e Z d Z e j d � d � � Z RS( s6 Define comparison operations for :class:`.types.JSON`.s! sqlalchemy.sql.default_comparatorc C s� t | t j � rX t | t j j � rX | j | j t j | d t
j �} t j } n- | j | j t j | d t
j
�} t j } | | | j f S( Nt bindparam_type( R- R R� R t collections_abct Sequencet _check_literalR0 R t json_path_getitem_opR5 RB t json_getitem_opRA R ( R t default_comparatorR3 t operator( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR4 � s ( R% R& R( R R R4 ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR � s c C s t S( N( R� ( R ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRf � s c C s | j S( s# Alias of :attr:`.JSON.none_as_null`( R7 ( R ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyt should_evaluate_none� s c C s | | _ d S( N( R7 ( R RL ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRK � s c C s
t d t � S( NRC ( R: R] ( R ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyt _str_impl� s c s= � j j | � � | j p! t j � � � � f d � } | S( Nc sh | � j k r d } n+ t | t j � s? | d k rC � j rC d S� | � } � rd � | � } n | S( N( t NULLR? R- R t NullR7 ( RL t
serialized( t json_serializerR t string_process( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRN � s ( RL RZ t _json_serializert jsonR ( R RM RN ( ( RP R RQ sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRZ � s
c s= | j j | | � � | j p$ t j � � � f d � } | S( Nc s/ | d k r d S� r% � | � } n � | � S( N( R? ( RL ( t json_deserializerRQ ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRN � s
( RL Rd t _json_deserializerRS R ( R RM R` RN ( ( RT RQ sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRd � s ( R% R& R( Rm Ro t hashableR t symbolRM RF R R8 RA RB R2 R R+ R* R) Rf RK t setterR� RL RZ Rd ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR5 x s �) & t ARRAYc B s� e Z d Z d Z e Z d e j e j f d � � YZ e Z e d
e d � Z e d � � Z
e d � � Z d � Z d � Z d � Z RS( s�
Represent a SQL Array type.
.. note:: This type serves as the basis for all ARRAY operations.
However, currently **only the PostgreSQL backend has support
for SQL arrays in SQLAlchemy**. It is recommended to use the
:class:`.postgresql.ARRAY` type directly when using ARRAY types
with PostgreSQL, as it provides additional operators specific
to that backend.
:class:`.types.ARRAY` is part of the Core in support of various SQL
standard functions such as :class:`.array_agg` which explicitly involve
arrays; however, with the exception of the PostgreSQL backend and possibly
some third-party dialects, no other SQLAlchemy built-in dialect has support
for this type.
An :class:`.types.ARRAY` type is constructed given the "type"
of element::
mytable = Table("mytable", metadata,
Column("data", ARRAY(Integer))
)
The above type represents an N-dimensional array,
meaning a supporting backend such as PostgreSQL will interpret values
with any number of dimensions automatically. To produce an INSERT
construct that passes in a 1-dimensional array of integers::
connection.execute(
mytable.insert(),
data=[1,2,3]
)
The :class:`.types.ARRAY` type can be constructed given a fixed number
of dimensions::
mytable = Table("mytable", metadata,
Column("data", ARRAY(Integer, dimensions=2))
)
Sending a number of dimensions is optional, but recommended if the
datatype is to represent arrays of more than one dimension. This number
is used:
* When emitting the type declaration itself to the database, e.g.
``INTEGER[][]``
* When translating Python values to database values, and vice versa, e.g.
an ARRAY of :class:`.Unicode` objects uses this number to efficiently
access the string values inside of array structures without resorting
to per-row type inspection
* When used with the Python ``getitem`` accessor, the number of dimensions
serves to define the kind of type that the ``[]`` operator should
return, e.g. for an ARRAY of INTEGER with two dimensions::
>>> expr = table.c.column[5] # returns ARRAY(Integer, dimensions=1)
>>> expr = expr[6] # returns Integer
For 1-dimensional arrays, an :class:`.types.ARRAY` instance with no
dimension parameter will generally assume single-dimensional behaviors.
SQL expressions of type :class:`.types.ARRAY` have support for "index" and
"slice" behavior. The Python ``[]`` operator works normally here, given
integer indexes or slices. Arrays default to 1-based indexing.
The operator produces binary expression
constructs which will produce the appropriate SQL, both for
SELECT statements::
select([mytable.c.data[5], mytable.c.data[2:7]])
as well as UPDATE statements when the :meth:`.Update.values` method
is used::
mytable.update().values({
mytable.c.data[5]: 7,
mytable.c.data[2:7]: [1, 2, 3]
})
The :class:`.types.ARRAY` type also provides for the operators
:meth:`.types.ARRAY.Comparator.any` and
:meth:`.types.ARRAY.Comparator.all`. The PostgreSQL-specific version of
:class:`.types.ARRAY` also provides additional operators.
.. versionadded:: 1.1.0
.. seealso::
:class:`.postgresql.ARRAY`
RY R c B sV e Z d Z d � Z d � Z e j d � d d � � Z e j d � d d � � Z RS( s� Define comparison operations for :class:`.types.ARRAY`.
More operators are available on the dialect-specific form
of this type. See :class:`.postgresql.ARRAY.Comparator`.
c C sG t | t � r� | j } | j j rJ t | j d | j d | j � } n t t | j d | j j
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dimensions( R- t sliceR t zero_indexest startt stopt stepR R R0 t keyR t INTEGERTYPER[ R? t item_typeR� R~ R t getitem( R R3 t return_typet adapt_kw( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR4 ? s2 &
$ c O s t d � � d S( Nsd ARRAY.contains() not implemented for the base ARRAY type; please use the dialect-specific ARRAY type( R ( R R� R� ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyt containsb s s sqlalchemy.sql.elementsc C s: | r | n t j } | | j | � | j j | j � � S( s Return ``other operator ANY (array)`` clause.
Argument places are switched, because ANY requires array
expression to be on the right hand-side.
E.g.::
from sqlalchemy.sql import operators
conn.execute(
select([table.c.data]).where(
table.c.data.any(7, operator=operators.lt)
)
)
:param other: expression to be compared
:param operator: an operator object from the
:mod:`sqlalchemy.sql.operators`
package, defaults to :func:`.operators.eq`.
.. seealso::
:func:`.sql.expression.any_`
:meth:`.types.ARRAY.Comparator.all`
( R t eqR t CollectionAggregatet _create_anyR0 ( R R t otherRJ ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyt anyh s c C s: | r | n t j } | | j | � | j j | j � � S( s Return ``other operator ALL (array)`` clause.
Argument places are switched, because ALL requires array
expression to be on the right hand-side.
E.g.::
from sqlalchemy.sql import operators
conn.execute(
select([table.c.data]).where(
table.c.data.all(7, operator=operators.lt)
)
)
:param other: expression to be compared
:param operator: an operator object from the
:mod:`sqlalchemy.sql.operators`
package, defaults to :func:`.operators.eq`.
.. seealso::
:func:`.sql.expression.all_`
:meth:`.types.ARRAY.Comparator.any`
( R Rh R Ri t _create_allR0 ( R R Rk RJ ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyt all� s N(
R% R& R( R4 Rg R R R? Rl Rn ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR 6 s # " c C sa t | t � r t d � � n t | t � r9 | � } n | | _ | | _ | | _ | | _ d S( s� Construct an :class:`.types.ARRAY`.
E.g.::
Column('myarray', ARRAY(Integer))
Arguments are:
:param item_type: The data type of items of this array. Note that
dimensionality is irrelevant here, so multi-dimensional arrays like
``INTEGER[][]``, are constructed as ``ARRAY(Integer)``, not as
``ARRAY(ARRAY(Integer))`` or such.
:param as_tuple=False: Specify whether return results
should be converted to tuples from lists. This parameter is
not generally needed as a Python list corresponds well
to a SQL array.
:param dimensions: if non-None, the ARRAY will assume a fixed
number of dimensions. This impacts how the array is declared
on the database, how it goes about interpreting Python and
result values, as well as how expression behavior in conjunction
with the "getitem" operator works. See the description at
:class:`.types.ARRAY` for additional detail.
:param zero_indexes=False: when True, index values will be converted
between Python zero-based and SQL one-based indexes, e.g.
a value of one will be added to all index values before passing
to the database.
sU Do not nest ARRAY types; ARRAY(basetype) handles multi-dimensional arrays of basetypeN( R- RY R% R Rc t as_tupleR[ R] ( R Rc Ro R[ R] ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRF � s " c C s | j S( N( Ro ( R ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRV � s c C s t S( N( R� ( R ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRf � s c C s
| | k S( N( ( R R� R ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR � s c C s) t | j t � r% | j j | � n d S( s Support SchemaEventTargetN( R- Rc R R� ( R R� ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR� � s c C s? t t | � j | � t | j t � r; | j j | � n d S( s Support SchemaEventTargetN( R1 RY t _set_parent_with_dispatchR- Rc R ( R t parent( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRp � s N( R% R& R( Rm Ro R] R2 R R+ R* R? RF R) RV Rf R R� Rp ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRY � s Z x- t REALc B s e Z d Z d Z RS( s The SQL REAL type.Rr ( R% R& R( Rm ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRr � s t FLOATc B s e Z d Z d Z RS( s The SQL FLOAT type.Rs ( R% R& R( Rm ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRs � s t NUMERICc B s e Z d Z d Z RS( s The SQL NUMERIC type.Rt ( R% R& R( Rm ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRt
s t DECIMALc B s e Z d Z d Z RS( s The SQL DECIMAL type.Ru ( R% R& R( Rm ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRu
s t INTEGERc B s e Z d Z d Z RS( s The SQL INT or INTEGER type.Rv ( R% R& R( Rm ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRv
s t SMALLINTc B s e Z d Z d Z RS( s The SQL SMALLINT type.Rw ( R% R& R( Rm ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRw
s t BIGINTc B s e Z d Z d Z RS( s The SQL BIGINT type.Rx ( R% R& R( Rm ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRx %
s t TIMESTAMPc B s) e Z d Z d Z e d � Z d � Z RS( s The SQL TIMESTAMP type.
:class:`~.types.TIMESTAMP` datatypes have support for timezone
storage on some backends, such as PostgreSQL and Oracle. Use the
:paramref:`~types.TIMESTAMP.timezone` argument in order to enable
"TIMESTAMP WITH TIMEZONE" for these backends.
Ry c C s t t | � j d | � d S( sg Construct a new :class:`.TIMESTAMP`.
:param timezone: boolean. Indicates that the TIMESTAMP type should
enable timezone support, if available on the target database.
On a per-dialect basis is similar to "TIMESTAMP WITH TIMEZONE".
If the target database does not support timezones, this flag is
ignored.
R� N( R1 Ry RF ( R R� ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRF 9
s c C s | j S( N( Ry ( R Rh ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRi F
s ( R% R& R( Rm Ro RF Ri ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRy ,
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s t DATEc B s e Z d Z d Z RS( s The SQL DATE type.Rz ( R% R& R( Rm ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRz Q
s t TIMEc B s e Z d Z d Z RS( s The SQL TIME type.R{ ( R% R& R( Rm ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR{ X
s t TEXTc B s e Z d Z d Z RS( s The SQL TEXT type.R| ( R% R& R( Rm ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR| _
s t CLOBc B s e Z d Z d Z RS( sC The CLOB type.
This type is found in Oracle and Informix.
R} ( R% R& R( Rm ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR} f
s t VARCHARc B s e Z d Z d Z RS( s The SQL VARCHAR type.R~ ( R% R& R( Rm ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR~ p
s t NVARCHARc B s e Z d Z d Z RS( s The SQL NVARCHAR type.R ( R% R& R( Rm ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR w
s t CHARc B s e Z d Z d Z RS( s The SQL CHAR type.R� ( R% R& R( Rm ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR� ~
s t NCHARc B s e Z d Z d Z RS( s The SQL NCHAR type.R� ( R% R& R( Rm ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR� �
s t BLOBc B s e Z d Z d Z RS( s The SQL BLOB type.R� ( R% R& R( Rm ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR� �
s R� c B s e Z d Z d Z RS( s The SQL BINARY type.R� ( R% R& R( Rm ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR� �
s t VARBINARYc B s e Z d Z d Z RS( s The SQL VARBINARY type.R� ( R% R& R( Rm ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR� �
s t BOOLEANc B s e Z d Z d Z RS( s The SQL BOOLEAN type.R� ( R% R& R( Rm ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR� �
s R. c B sH e Z d Z d Z e Z e Z d � Z d e j
f d � � YZ
e
Z RS( s� An unknown type.
:class:`.NullType` is used as a default type for those cases where
a type cannot be determined, including:
* During table reflection, when the type of a column is not recognized
by the :class:`.Dialect`
* When constructing SQL expressions using plain Python objects of
unknown types (e.g. ``somecolumn == my_special_object``)
* When a new :class:`.Column` is created, and the given type is passed
as ``None`` or is not passed at all.
The :class:`.NullType` can be used within SQL expression invocation
without issue, it just has no behavior either at the expression
construction level or at the bind-parameter/result processing level.
:class:`.NullType` will result in a :exc:`.CompileError` if the compiler
is asked to render the type itself, such as if it is used in a
:func:`.cast` operation or within a schema creation operation such as that
invoked by :meth:`.MetaData.create_all` or the :class:`.CreateTable`
construct.
t nullc C s
d � } | S( Nc S s d S( NRM ( ( RL ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRN �
s ( ( R RM RN ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyRO �
s R c B s e Z d � Z RS( c C sF t | t j � s" t j | � r2 | | j j f S| j | | � Sd S( N( R- R. R R t is_commutativeR0 R R$ ( R R R! ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR$ �
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( R% R& R$ ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR �
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s t MatchTypec B s e Z d Z RS( sD Refers to the return type of the MATCH operator.
As the :meth:`.ColumnOperators.match` is probably the most open-ended
operator in generic SQLAlchemy Core, we can't assume the return type
at SQL evaluation time, as MySQL returns a floating point, not a boolean,
and other backends might do something different. So this type
acts as a placeholder, currently subclassing :class:`.Boolean`.
The type allows dialects to inject result-processing functionality
if needed, and on MySQL will return floating-point values.
.. versionadded:: 1.0.0
( R% R& R( ( ( ( sJ /opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/sql/sqltypes.pyR� �
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