o y\'@sddlmZddlmZddlmZddlmZddlmZzddl m Z Wn e y1d Z Ynwej fd d Zej fd d ZGdddejZejdddZejdddZejdddZGdddejZeeej<eed<d S))colspecs) ischema_names)types) expression) operators)UUIDNcC |||S)zA synonym for the :meth:`.ARRAY.Comparator.any` method. This method is legacy and is here for backwards-compatibility. .. seealso:: :func:`.expression.any_` )anyotherarrexproperatorrV/var/www/html/env/lib/python3.10/site-packages/sqlalchemy/dialects/postgresql/array.pyAny rcCr )zA synonym for the :meth:`.ARRAY.Comparator.all` method. This method is legacy and is here for backwards-compatibility. .. seealso:: :func:`.expression.all_` )allr rrrAll"rrcs8eZdZdZdZfddZd ddZd dd ZZS) arrayabA 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:`.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) .. seealso:: :class:`.postgresql.ARRAY` c s&tt|j|i|t|j|_dSN)superr__init__ARRAYtype)selfclauseskw __class__rrrSszarray.__init__FNcsN|stjurt|tsJtjd|jddStfdd|DS)NT)_compared_to_operatortype__compared_to_typeuniquecsg|] }j|ddqS)T)_assume_scalarr") _bind_param).0orrr"rr gs z%array._bind_param..)rgetitem isinstanceintr BindParameterrr)rrobjr%r"rr)rr&Ws zarray._bind_paramcCs"|tjtjtjfvrt|S|Sr)rany_opall_opr+rGrouping)ragainstrrr self_groupos zarray.self_group)FNr) __name__ __module__ __qualname____doc____visit_name__rr&r4 __classcell__rrrrr0s   rz@>) precedencez<@z&&c@sleZdZdZGdddejjZeZ dddZe dd Z e d d Z d d Z ddZ ddZddZdS)raPostgreSQL 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`. .. seealso:: :class:`.types.ARRAY` - base array type :class:`.postgresql.array` - produces a literal array value. c@s(eZdZdZddZddZddZdS) zARRAY.Comparatora$Define comparison operations for :class:`.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`. cK|jt|tjdS)zBoolean expression. Test if elements are a superset of the elements of the argument array expression.  result_type)operateCONTAINSsqltypesBoolean)rr kwargsrrrcontainszARRAY.Comparator.containscCr=)zBoolean expression. Test if elements are a proper subset of the elements of the argument array expression. r>)r@ CONTAINED_BYrBrCrr rrr contained_byszARRAY.Comparator.contained_bycCr=)zuBoolean expression. Test if array has elements in common with an argument array expression. r>)r@OVERLAPrBrCrHrrroverlaprFzARRAY.Comparator.overlapN)r5r6r7r8rErIrKrrrr Comparators   rLFNcCs>t|tr tdt|tr|}||_||_||_||_dS)aPConstruct 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. Note that PG arrays are always implicitly "non-dimensioned", meaning they can store any number of dimensions no matter how they were declared. :param zero_indexes=False: when True, index values will be converted between Python zero-based and PostgreSQL one-based indexes, e.g. a value of one will be added to all index values before passing to the database. .. versionadded:: 0.9.5 zUDo not nest ARRAY types; ARRAY(basetype) handles multi-dimensional arrays of basetypeN)r,r ValueErrorr item_typeas_tuple dimensions zero_indexes)rrNrOrPrQrrrrs &  zARRAY.__init__cCs|jSr)rOrrrrhashableszARRAY.hashablecCstSr)listrRrrr python_typeszARRAY.python_typecCs||kSrr)rxyrrrcompare_valuesszARRAY.compare_valuescstdurt|}dksdur,|rt|dttfs,r(fdd|DS|Sfdd|DS)Nrrc3s|]}|VqdSrrr'rV)itemprocrr sz$ARRAY._proc_array..c3s0|]}|durdndVqdS)Nr) _proc_arrayrY collectiondimrZrrrr[s )rTr,tuple)rarrrZr_r^rr]rr\s zARRAY._proc_arraycs$j||fdd}|S)Ncs|dur|S|jtSr)r\rPrTvalue item_procrrrprocess*s  z%ARRAY.bind_processor..process)rN dialect_implbind_processor)rdialectrfrrdrrh%s zARRAY.bind_processorcs&j|||fdd}|S)Ncs*|dur|S|jjrtStSr)r\rPrOr`rTrbrdrrrf9sz'ARRAY.result_processor..process)rNrgresult_processor)rricoltyperfrrdrrj4s  zARRAY.result_processor)FNF)r5r6r7r8rBrrLcomparator_factoryrpropertyrSrUrXr\rhrjrrrrr}s+ 2   r_array)baserrrrBsqlrruuidr _python_UUID ImportErroreqrrTupler custom_oprArGrJrrrrrs(      F K