(ph%SrSSKJr SSKrSSKJrJrJrJr SSKJ r J r J r SSK J r SSKJr SS KJr SS KJrJr SS KJr \ (aSS KJr SS KJr SSKJr SSKJr \R>R@r \R>RBr!\R>RDr"\R>RFr#\"SSS9r$\"SSSS9r%"SS\ \%5r&"SS\ \%5r'"SS\ \%5r("SS\ \%5r)Sr*S\+S'S r,S\+S!'S.S"jr-S/S#jr.S0S$jr/\R`"S%5S1S&j5r1S2S'jr2S3S(jr3S3S)jr4S4S*jr5S5S+jr6S6S,jr7S7S-jr8g)8z psycopg row factories ) annotationsN)AnyCallable NamedTupleNoReturn) TYPE_CHECKINGProtocolSequence) namedtuple)pq)errors) TypeAliasTypeVar)_as_python_identifier)Cursor) BaseCursor) AsyncCursor)PGresultTT) covariantRowTupleRow)rdefaultc"\rSrSrSrSSjrSrg)RowMaker%a Callable protocol taking a sequence of value and returning an object. The sequence of value is what is returned from a database query, already adapted to the right Python types. The return value is the object that your program would like to receive: by default (`tuple_row()`) it is a simple tuple, but it may be any type of object. Typically, `!RowMaker` functions are returned by `RowFactory`. cgN)self_RowMaker__valuess ?/var/www/html/venv/lib/python3.13/site-packages/psycopg/rows.py__call__RowMaker.__call__1sr N)r" Sequence[Any]returnr__name__ __module__ __qualname____firstlineno____doc__r$__static_attributes__r r&r#rr%s   Like `RowFactory`, taking either type of cursor as argument. cgrr )r!_BaseRowFactory__cursors r#r$BaseRowFactory.__call__Rsr&r N)rABaseCursor[Any, Any]r(r6r)r r&r#r>r>Ms Mr&r>ztuple[Any, ...]rdict[str, Any]DictRowc[$)zRow factory to represent rows as simple tuples. This is the default factory, used when `~psycopg.Connection.connect()` or `~psycopg.Connection.cursor()` are called without a `!row_factory` parameter. )tuple)cursors r# tuple_rowrIds  Lr&c@^[U5mTc[$SU4SjjnU$)z}Row factory to represent rows as dictionaries. The dictionary keys are taken from the column names of the returned columns. c.>[[TU55$rdictzip)valuesnamess r# dict_row_dict_row..dict_row_zsCv&''r&)rOr'r(rD _get_names no_result)rHrQrPs @r#dict_rowrVqs' v E }( r&c^URmT(d[$[T5nUc[$[UR/U4Sj[ U55Q76nUR $)zRow factory to represent rows as `~collections.namedtuple`. The field names are taken from the column names of the returned columns, with some mangling to deal with invalid names. c3F># UHnTRU5v M g7fr)fname).0iress r# !namedtuple_row..s%KNqciillNs!)pgresultrU _get_nfields_make_nt _encodingrange_make)rHnfieldsntr\s @r#namedtuple_rowrgsT //C 3G &"" L%KE'N%K LB 88Or&icF^[U4SjU55n[SU5$)Nc3X># UHn[URT55v M! g7fr)rdecode)rZnencs r#r]_make_nt..s"GA(#77s'*r)rGr )rlrPsnamess` r#raras GG GF eV $$r&c^SU4SjjnU$)a=Generate a row factory to represent rows as instances of the class `!cls`. The class must support every output column name as a keyword parameter. :param cls: The class to return for each row. It must support the fields returned by the query as keyword arguments. :rtype: `!Callable[[Cursor],` `RowMaker`\[~T]] cD>^[U5mTc[$SUU4SjjnU$)Nc :>T"S0[[TU55D6$Nr rL)rOclsrPs r# class_row__2class_row..class_row_..class_row__s2c%012 2r&rOr'r(rrS)rHrtrPrss @r# class_row_class_row..class_row_s*6" =  3 3r&)rHrCr( RowMaker[T]r )rsrws` r# class_rowrzs r&c^SU4SjjnU$)zGenerate a row factory calling `!func` with positional parameters for every row. :param func: The function to call for each row. It must support the fields returned by the query as positional arguments. c>SU4SjjnU$)Nc>T"U6$rr )rOfuncs r# args_row__/args_row..args_row_..args_row__s = r&rvr )currr~s r# args_row_args_row..args_row_s !r&)rBaseCursor[Any, T]r(ryr )r~rs` r#args_rowrs r&c^SU4SjjnU$)zGenerate a row factory calling `!func` with keyword parameters for every row. :param func: The function to call for each row. It must support the fields returned by the query as keyword arguments. cD>^[U5mTc[$SUU4SjjnU$)Nc :>T"S0[[TU55D6$rrrL)rOr~rPs r# kwargs_row__5kwargs_row..kwargs_row_..kwargs_row__s3$s5&123 3r&rvrS)rHrrPr~s @r# kwargs_row_kwargs_row..kwargs_row_s*6" =  4 4r&)rHrr(ryr )r~rs` r# kwargs_rowrs r&cURnU(d[$[U5nUc[$US:a[R"S5eSSjnU$)zF Generate a row factory returning the first column as a scalar value. r zat least one column expectedc US$)Nrr rOs r# scalar_row_scalar_row..scalar_row_s ayr&)rOr'r(r)r_rUr`eProgrammingError)rHr\rers r# scalar_rowrsQ //C 3G{  !?@@ r&c.[R"S5e)zA `RowMaker` that always fail. It can be used as return value for a `RowFactory` called with no result. Note that the `!RowFactory` *will* be called with no result, but the resulting `!RowMaker` never should. z the cursor doesn't have a result)rInterfaceErrorrs r#rUrUs  = >>r&cURnU(dg[U5nUcgURn[U5Vs/sH"oAR U5R U5PM$ sn$s snfr)r_r`rbrcrYrj)rHr\rerlr[s r#rTrTsd //C 3G   C*/. *8Q ! C .  s)A)cURnUR[:XdCUR[:Xd/UR[:XdUR[ :Xa U(aU$g)z Return the number of columns in a result, if it returns tuples else None Take into account the special case of results with zero columns. N)restatus TUPLES_OK SINGLE_TUPLE TUPLES_CHUNK COMMAND_OK)r\res r#r`r`sI kkG i :: % :: % JJ* $r&)rHrCr(zRowMaker[TupleRow])rHrCr(zRowMaker[DictRow])rHrCr(zRowMaker[NamedTuple])rlstrrPbytesr(ztype[NamedTuple])rsztype[T]r(BaseRowFactory[T])r~zCallable[..., T]r(r)rHrCr(z RowMaker[Any])rOr'r(r)rHrCr(zlist[str] | None)r\rr(z int | None)9r. __future__r functoolstypingrrrrrr r collectionsr r rr_compatrr _encodingsrrHr _cursor_baser cursor_asyncrpsycopg.pq.abcr ExecStatusrrrrrrrr1r8r>r__annotations__rErIrVrg lru_cacherarzrrrrUrTr`r r&r#rsM #6644"'-()' ]] % % MM # # }})) }}))  C4 etZ8