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 ec@s ddlZddlmZddlmZddlmZddlmZddlmZddlm Z ej d Z ej d Z d ej ejfd YZejd dddeZejddddeZejddddeZdejfdYZdZdS(iNi(ttypes(tutil(t coercions(t expression(t operators(trolescCs|j||S(sjA synonym for the ARRAY-level :meth:`.ARRAY.Comparator.any` method. See that method for details. (tany(tothertarrexprtoperator((sW/opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/dialects/postgresql/array.pytAnyscCs|j||S(sjA synonym for the ARRAY-level :meth:`.ARRAY.Comparator.all` method. See that method for details. (tall(RRR ((sW/opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/dialects/postgresql/array.pytAllstarraycBsSeZdZdZdZeZdZedZ e ddZ ddZ RS(sA PostgreSQL ARRAY literal. This is used to produce ARRAY literals in SQL expressions, e.g.:: from sqlalchemy.dialects.postgresql import array from sqlalchemy.dialects import postgresql from sqlalchemy import select, func stmt = select(array([1,2]) + array([3,4,5])) print(stmt.compile(dialect=postgresql.dialect())) Produces the SQL:: SELECT ARRAY[%(param_1)s, %(param_2)s] || ARRAY[%(param_3)s, %(param_4)s, %(param_5)s]) AS anon_1 An instance of :class:`.array` will always have the datatype :class:`_types.ARRAY`. The "inner" type of the array is inferred from the values present, unless the ``type_`` keyword argument is passed:: array(['foo', 'bar'], type_=CHAR) Multidimensional arrays are produced by nesting :class:`.array` constructs. The dimensionality of the final :class:`_types.ARRAY` type is calculated by recursively adding the dimensions of the inner :class:`_types.ARRAY` type:: stmt = select( array([ array([1, 2]), array([3, 4]), array([column('q'), column('x')]) ]) ) print(stmt.compile(dialect=postgresql.dialect())) Produces:: SELECT ARRAY[ARRAY[%(param_1)s, %(param_2)s], ARRAY[%(param_3)s, %(param_4)s], ARRAY[q, x]] AS anon_1 .. versionadded:: 1.3.6 added support for multidimensional array literals .. seealso:: :class:`_postgresql.ARRAY` R t postgresqlcKsg|D]}tjtj|^q}tt|j||g|D]}|j^qH|_|j d|jr|jdnt j }t |t rt |jd|jdk r|jdnd|_nt ||_dS(Nttype_it dimensionsii(RtexpectRtExpressionElementRoletsuperR t__init__ttypet _type_tupletpoptsqltypestNULLTYPEt isinstancetARRAYt item_typeRtNone(tselftclausestkwtctargt main_type((sW/opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/dialects/postgresql/array.pyR\s(" cCs|fS(N((R((sW/opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/dialects/postgresql/array.pyt_select_iterablessc Csy|s|tjkr@tjd|d|d|d|jdtStg|D]$}|j||dtd|^qJSdS(Nt_compared_to_operatorRt_compared_to_typetuniquet_assume_scalar( RtgetitemRt BindParameterRRtTrueR t _bind_param(RR tobjR(Rto((sW/opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/dialects/postgresql/array.pyR,ws cCs3|tjtjtjfkr+tj|S|SdS(N(Rtany_optall_opR)RtGrouping(Rtagainst((sW/opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/dialects/postgresql/array.pyt self_groups N(t__name__t __module__t__doc__t__visit_name__tstringify_dialectR+t inherit_cacheRtpropertyR$tFalseRR,R3(((sW/opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/dialects/postgresql/array.pyR $s1 s@>t precedenceit is_comparisons<@s&&RcBseZdZdejjfdYZeZed edZ e dZ e dZ dZ dZejdZd Zd Zd ZRS( s PostgreSQL ARRAY type. .. versionchanged:: 1.1 The :class:`_postgresql.ARRAY` type is now a subclass of the core :class:`_types.ARRAY` type. The :class:`_postgresql.ARRAY` type is constructed in the same way as the core :class:`_types.ARRAY` type; a member type is required, and a number of dimensions is recommended if the type is to be used for more than one dimension:: from sqlalchemy.dialects import postgresql mytable = Table("mytable", metadata, Column("data", postgresql.ARRAY(Integer, dimensions=2)) ) The :class:`_postgresql.ARRAY` type provides all operations defined on the core :class:`_types.ARRAY` type, including support for "dimensions", indexed access, and simple matching such as :meth:`.types.ARRAY.Comparator.any` and :meth:`.types.ARRAY.Comparator.all`. :class:`_postgresql.ARRAY` class also provides PostgreSQL-specific methods for containment operations, including :meth:`.postgresql.ARRAY.Comparator.contains` :meth:`.postgresql.ARRAY.Comparator.contained_by`, and :meth:`.postgresql.ARRAY.Comparator.overlap`, e.g.:: mytable.c.data.contains([1, 2]) The :class:`_postgresql.ARRAY` type may not be supported on all PostgreSQL DBAPIs; it is currently known to work on psycopg2 only. Additionally, the :class:`_postgresql.ARRAY` type does not work directly in conjunction with the :class:`.ENUM` type. For a workaround, see the special type at :ref:`postgresql_array_of_enum`. .. container:: topic **Detecting Changes in ARRAY columns when using the ORM** The :class:`_postgresql.ARRAY` type, when used with the SQLAlchemy ORM, does not detect in-place mutations to the array. In order to detect these, the :mod:`sqlalchemy.ext.mutable` extension must be used, using the :class:`.MutableList` class:: from sqlalchemy.dialects.postgresql import ARRAY from sqlalchemy.ext.mutable import MutableList class SomeOrmClass(Base): # ... data = Column(MutableList.as_mutable(ARRAY(Integer))) This extension will allow "in-place" changes such to the array such as ``.append()`` to produce events which will be detected by the unit of work. Note that changes to elements **inside** the array, including subarrays that are mutated in place, are **not** detected. Alternatively, assigning a new array value to an ORM element that replaces the old one will always trigger a change event. .. seealso:: :class:`_types.ARRAY` - base array type :class:`_postgresql.array` - produces a literal array value. t ComparatorcBs)eZdZdZdZdZRS(s*Define comparison operations for :class:`_types.ARRAY`. Note that these operations are in addition to those provided by the base :class:`.types.ARRAY.Comparator` class, including :meth:`.types.ARRAY.Comparator.any` and :meth:`.types.ARRAY.Comparator.all`. cKs|jt|dtjS(sBoolean expression. Test if elements are a superset of the elements of the argument array expression. kwargs may be ignored by this operator but are required for API conformance. t result_type(toperatetCONTAINSRtBoolean(RRtkwargs((sW/opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/dialects/postgresql/array.pytcontainsscCs|jt|dtjS(sBoolean expression. Test if elements are a proper subset of the elements of the argument array expression. R?(R@t CONTAINED_BYRRB(RR((sW/opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/dialects/postgresql/array.pyt contained_byscCs|jt|dtjS(suBoolean expression. Test if array has elements in common with an argument array expression. R?(R@tOVERLAPRRB(RR((sW/opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/dialects/postgresql/array.pytoverlaps(R4R5R6RDRFRH(((sW/opt/alt/python27/lib64/python2.7/site-packages/sqlalchemy/dialects/postgresql/array.pyR>s  cCsat|trtdnt|tr9|}n||_||_||_||_dS(sPConstruct an 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. DBAPIs such as psycopg2 return lists by default. When tuples are returned, the results are hashable. :param dimensions: if non-None, the ARRAY will assume a fixed number of dimensions. This will cause the DDL emitted for this ARRAY to include the exact number of bracket clauses ``[]``, and will also optimize the performance of the type overall. 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