ɯei?/ddlZddlmZmZmZej dkrddlmZnddlmZdZde de fdZ de de fd Z Gd d e Zy) N)AnyDictUnion) )Iterablec@|r tdi|}nt|}||_|S)N)Row_fields)values named_valuesfieldsrows X/var/www/html/glpi_dashboard/venv/lib/python3.12/site-packages/snowflake/snowpark/row.py_restore_row_from_picklers'!L!6lCK Jvaluereturnc|j}t|dkDxrJ|jdxr|jdxs$|jdxr|jdS)N'")striplen startswithendswithrs ris_already_quotedrse KKME u:>   NN3    C  NN3  rcB|j}|jSN)rlowerrs rcanonicalize_fieldr#%s KKME ;;=rceZdZdZGddZeZdedefdZdee e e fffd Z d Z d Zd Zfd Zd ZdZdZdZddedefdZdedeeedeffdeeeeffdZddZdefdZeZxZS)r aRepresents a row in :class:`DataFrame`. It is immutable and works like a tuple or a named tuple. >>> row = Row(1, 2) >>> row Row(1, 2) >>> row[0] 1 >>> len(row) 2 >>> row[0:1] Row(1) >>> named_row = Row(name1=1, name2=2) >>> named_row Row(name1=1, name2=2) >>> named_row["name1"] 1 >>> named_row.name1 1 >>> row == named_row True A ``Row`` object is callable. You can use it to create other ``Row`` objects: >>> Employee = Row("name", "salary") >>> emp1 = Employee("John", 10000) >>> emp1 Row(name='John', salary=10000) >>> emp2 = Employee("James", 20000) >>> emp2 Row(name='James', salary=20000) c@eZdZd dZdededdfdZdeddfdZd d Zy) Row._RowBuilderrNc d|_d|_yr!)_values _named_valuesselfs r__init__zRow._RowBuilder.__init__OsDL!%D rr rc0||_||_d|_|SNT)r(r)_case_sensitive)r+r rs rbuildzRow._RowBuilder.buildSs!DL!-D #'D Krcase_sensitivec||_|Sr!)r/)r+r1s rset_case_sensitivez"Row._RowBuilder.set_case_sensitiveYs#1D Krc|jr|jst|jjDcgc] }t |c}r t d|jj Dcic]\}}t||c}}|_|jrk|js_t|jDcgc] }t |c}r t d|jDcgc] }t|c}|_t|ji|j}|j|jd<|Scc}wcc}}wcc}wcc}w)NzFCase insensitive fields is not supported in presence of quoted columnsr/) r)r/anykeysr ValueErroritemsr#r(r __dict__)r+valkvrrs rto_rowzRow._RowBuilder.to_row]s+!!$*>*>$:L:L:Q:Q:ST3)#.TU$`:>9K9K9Q9Q9S&15A&q)1,&"||D$8$8$,,G3)#.GH$`HL||Te 25 9T t||:t'9'9:C.2.B.BCLL* +J#U& H UsE ;EE7ErN)rr ) __name__ __module__ __qualname__r,rr0boolr3r=r rr _RowBuilderr&Ns; &  c >O   T >O  rrCr rc|r |r td|rctj|t|j}||jd<t|j |jd<n4tj||}d|jd<d|jd<d|jd<d|jd<|S)Nz7Either values or named_values is required but not both.r)r _has_duplicatesTr/)r7tuple__new__r r9r6)clsr rrs rrGz Row.__new__ts lVW W --U<+>+>+@%ABC,8CLL )&+L,=,=,?&@CLL #--V,C,0CLL )&*CLL #+/ &'*. &' ritemct|trt| |St|trt t| |S|j s t|}|j|jr|j|S|jr;|jr+ |jj|}t| |St|#ttf$r t|wxYwr!) isinstanceintsuper __getitem__slicer r/r#"_populate_named_values_from_fieldsr)r _check_if_having_duplicatesindex IndexErrorr7KeyError)r+rIrR __class__s rrNzRow.__getitem__s dC 7&t, , e $+D12 2'')$/  3 3 5!!))$//$"B"B"D) LL..t4E 7.u55 tn$ #J/)"4.()s %)CC5ctd)Nz+Row object does not support item assignment) TypeError)r+keyrs r __setitem__zRow.__setitem__sEFFrcz|js t|}|j|jr||jvr|j|S|jr1|j r! |jj |}||Std|#ttf$rtd|wxYw)NzRow object has no attribute ) r/r#rPr)r rQrRrSr7AttributeError)r+rIrRs r __getattr__zRow.__getattr__s##%d+D //1   $$*<*<"<%%d+ + \\d>>@ L **40E{"!#?v!FG G + L$'CD6%JKK Ls .BB:c|dk7r td|4|js|Dcgc] }t|}}||jd<yycc}w)Nr z!Can't set attribute to Row object)r[r/r#r9)r+rXrr:s r __setattr__zRow.__setattr__sT )  !DE E  ''The Row object can't be called because it has duplicate fieldsz_The Row object can't be called with field-value pairs because it doesn't have field-value pairsc3>K|]}t|t ywr!)rKstr).0rs r zRow.__call__..s-/4Juc**-sz{The called Row object and input values must have the same size and the called Row object shouldn't have any non-str fields.r r/r ) r7rrPr)r r8r rQr5r9r/)r+argskwargsnew_row input_key input_valuecols r__call__z Row.__call__s F] c$i3t9,D {*?@A A //1    @/D../G*0,,. ?& ;D$6$66$'>yktf%UVV3>%%i0 ?N \\d>>@P  @4yCI%-8<-*!R4jG:>*?33*?G  Y '262F2FG  . /N+@s: E.cDt||j|jSr!)rr)r r*s r__copy__z Row.__copy__s'd.@.@$,,OOrc t|jr;djdjdt|j|DS|jr?djdjd|jj DSdjdjd|DS)NzRow({})z, c30K|]\}}|d|yw=Nr rdr;r<s rrezRow.__repr__..sK41aQCq,Kc30K|]\}}|d|ywrqr rss rrezRow.__repr__..sN41aQCq,Nrtc3"K|]}| ywr!r )rdr<s rrezRow.__repr__..s-E1h-Es )r formatjoinzipr)r8r*s r__repr__z Row.__repr__s <<## K3t||T3JKK   ## N43E3E3K3K3MNN  ##DII-E-E$EF FrcRtt||j|jffSr!)rrFr)r r*s r __reduce__zRow.__reduce__s' $ 4[$,,dll ;  r recursiverc|j|js td|st|jS|j |jS)aConvert to a dict if this row object has both keys and values. Args: recursive: Recursively convert child :class:`Row` objects to dicts. Default is False. >>> row = Row(name1=1, name2=2, name3=Row(childname=3)) >>> row.as_dict() {'name1': 1, 'name2': 2, 'name3': Row(childname=3)} >>> row.as_dict(True) {'name1': 1, 'name2': 2, 'name3': {'childname': 3}} zECannot convert a Row without key values or duplicated keys to a dict.)rPr)rWdict _convert_dict)r+r}s ras_dictz Row.as_dict sV //1!!W **+ +!!$"4"455robjcft|tr|jdSt|tr0i}|j D]\}}|j |||<|St|t r:t|tttfs|Dcgc]}|j |c}S|Scc}wr.) rKr rrr8rrrcbytes bytearray)r+r child_dictr;r<xs rrzRow._convert_dicts c3 ;;t$ $ T "J  61 $ 2 21 5 1  6  X &z#UI?V/W367aD&&q)7 7 8sB.c|jV|jrI|js8t|j|Dcic]\}}|| c}}|jd<yyyycc}}w)Nr))r)r rQryr9)r+r;r<s rrPz&Row._populate_named_values_from_fields.se    & 446?B4<)r?r@rA__doc__rC_builderrrGrrLrcrOrNrYr\r^r`rlrnrzr|rBrrrrrPrQasDict __classcell__)rUs@rr r *s!F""H}Hc30%c3o 6%0G H-.)VP G 66$6* huUD[/A&BBC  tXd^# $ X$T$Frr )systypingrrr version_inforcollections.abcrrcrBrr#rFr r rrrs_  ## v(STcc V%Vr