python3-azure-loganalytics-0.1.0-18.fc40 :P>:@ 6 6_A''6* **  3!]W>D] 'p~[ye 'p~[y0\8Ī`E5 ]fDˇ {g*1+b// hgA*:#ıCbpd{g|Kc SW]xZ/`Əߡup&``q4ξ;ȱg)L\iF^ -) p=,\\R|r(k%t5#q/Ljq8# Q|g H)tr?^z)BͰ3#5M  Lc)Kcex9 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!]W>D] 'p~[ye 'p~[yR69߻:eQ3R9bi>676=8dadmTHWRyS(3a@@cP/Y}TCWdOijifjx6tOu8-l{x|DĿ <dž:zUPu۝uܮXԭ?RCd`ŁhOEIxhMECEQyD|cCh8@?:1/>|6N9,ҏK UMc߇*zN1${ngt Y2]zb?.OA?ftDž5%щd@M5JKc+Uߵ wsJ=59֓$ \~ׁ'òu~Uq8z$];s*J-_(F$'oi,͕(!I%zWM 5ۿшQ37bUy2-N8D=|&F8'=j5p >ٸ7,e2tg]#&>`@3M?3=d# + c  6<DAHA A LA PA QA AAA"TAX  g (8 9 :[ F]GAH AI!AX!Y!\"$A]#(A^)d b+/d,e-f- l- t-$Au.(Av/,w/hAx0lAy1p=z2d2t2x2222Cpython3-azure-loganalytics0.1.018.fc40Microsoft Azure Log Analytics Client Library for PythonMicrosoft Azure Log Analytics Client Library for Pythone+buildvm-x86-17.iad2.fedoraproject.orgFedora ProjectFedora ProjectMITFedora ProjectUnspecifiedhttps://pypi.org/project/azure-loganalytics/linuxnoarchsHHjjmHH33cc&&779972gfnA큤A큤A큤A큤A큤A큤eeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeee[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-azure-loganalytics-0.1.0-18.fc40.src.rpmpython-azure-loganalyticspython3-azure-loganalyticspython3.12-azure-loganalyticspython3.12dist(azure-loganalytics)python3dist(azure-loganalytics)@@@       (python3.12dist(azure-common) >= 1.1 with python3.12dist(azure-common) < 2)(python3.12dist(msrest) < 2~~ with python3.12dist(msrest) >= 0.4.29)python(abi)rpmlib(CompressedFileNames)rpmlib(FileDigests)rpmlib(PartialHardlinkSets)rpmlib(PayloadFilesHavePrefix)rpmlib(PayloadIsZstd)rpmlib(RichDependencies)rpmlib(TildeInVersions)3.123.0.4-14.6.0-14.0.4-14.0-15.4.18-14.12.0-14.10.0-14.19.1ee@ds@d@dddX@cʂ@bڑ@b@b@bbjFedora Release Engineering - 0.1.0-18Fedora Release Engineering - 0.1.0-17Fedora Release Engineering - 0.1.0-16Python Maint - 0.1.0-15Major Hayden - 0.1.0-14Major Hayden - 0.1.0-13Fedora Release Engineering - 0.1.0-12Fedora Release Engineering - 0.1.0-11Major Hayden - 0.1.0-10Major Hayden - 0.1.0-9Python Maint - 0.1.0-8Major Hayden - 0.1.0-7- Rebuilt for https://fedoraproject.org/wiki/Fedora_40_Mass_Rebuild- Rebuilt for https://fedoraproject.org/wiki/Fedora_40_Mass_Rebuild- Rebuilt for https://fedoraproject.org/wiki/Fedora_39_Mass_Rebuild- Rebuilt for Python 3.12- Migrated to SPDX license- S- Rebuilt for https://fedoraproject.org/wiki/Fedora_38_Mass_Rebuild- Rebuilt for https://fedoraproject.org/wiki/Fedora_37_Mass_Rebuild- Fix incorrect testing conditional- Use GitHub source; run tests- Rebuilt for Python 3.11- Switch to rpmautospecbuildvm-x86-17.iad2.fedoraproject.org 1706233387  ""$$&&((**,-./0123456789:;<=>?@A0.1.0-18.fc400.1.0-18.fc400.1.0-18.fc400.10.1loganalytics__init__.py__pycache____init__.cpython-312.opt-1.pyc__init__.cpython-312.pyclog_analytics_data_client.cpython-312.opt-1.pyclog_analytics_data_client.cpython-312.pycversion.cpython-312.opt-1.pycversion.cpython-312.pyclog_analytics_data_client.pymodels__init__.py__pycache____init__.cpython-312.opt-1.pyc__init__.cpython-312.pyccolumn.cpython-312.opt-1.pyccolumn.cpython-312.pyccolumn_py3.cpython-312.opt-1.pyccolumn_py3.cpython-312.pycerror_detail.cpython-312.opt-1.pycerror_detail.cpython-312.pycerror_detail_py3.cpython-312.opt-1.pycerror_detail_py3.cpython-312.pycerror_info.cpython-312.opt-1.pycerror_info.cpython-312.pycerror_info_py3.cpython-312.opt-1.pycerror_info_py3.cpython-312.pycerror_response.cpython-312.opt-1.pycerror_response.cpython-312.pycerror_response_py3.cpython-312.opt-1.pycerror_response_py3.cpython-312.pycquery_body.cpython-312.opt-1.pycquery_body.cpython-312.pycquery_body_py3.cpython-312.opt-1.pycquery_body_py3.cpython-312.pycquery_results.cpython-312.opt-1.pycquery_results.cpython-312.pycquery_results_py3.cpython-312.opt-1.pycquery_results_py3.cpython-312.pyctable.cpython-312.opt-1.pyctable.cpython-312.pyctable_py3.cpython-312.opt-1.pyctable_py3.cpython-312.pyccolumn.pycolumn_py3.pyerror_detail.pyerror_detail_py3.pyerror_info.pyerror_info_py3.pyerror_response.pyerror_response_py3.pyquery_body.pyquery_body_py3.pyquery_results.pyquery_results_py3.pytable.pytable_py3.pyversion.pyazure_loganalytics-0.1.0.dist-infoINSTALLERMETADATAWHEELtop_level.txtpython3-azure-loganalyticsREADME.rst/usr/lib/python3.12/site-packages/azure//usr/lib/python3.12/site-packages/azure/loganalytics//usr/lib/python3.12/site-packages/azure/loganalytics/__pycache__//usr/lib/python3.12/site-packages/azure/loganalytics/models//usr/lib/python3.12/site-packages/azure/loganalytics/models/__pycache__//usr/lib/python3.12/site-packages//usr/lib/python3.12/site-packages/azure_loganalytics-0.1.0.dist-info//usr/share/doc//usr/share/doc/python3-azure-loganalytics/-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wno-complain-wrong-lang -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointercpiozstd19noarch-redhat-linux-gnudirectoryPython script, ASCII text executableASCII text  !"#$%&'()*+,-./012345678PPRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRPPRRRq GN$fhttps://bugz.fedoraproject.org/python-azure-loganalyticsutf-80a789bebe6a44f12cc7708ccb2de6b93fd35fdbafe65f35281b88762f08d288ce7a5692bc40b79abe37418c38801996de72a9460dc87e7189a1c140eac80feb8?(/hĊf -&Y+̲Xc%93 ߧF癑1UmW!'#1̢(j *;S'RGj-,P,BuuUG.85g_W-p,"uC%r˙]};^dZ-n_f!]ԛc댿 Z[ia1}waܴTKyjk'j\wf}l=vG3)[~Sð^>G6>~>T je>4c _ue' 2P0JK& C'ĭ7!ȺV~C&Hv hrDT"L$l`Pq۪j9j|q=m`ffbڊ!6lmWá`gZ MU}@8/qf^20Ȅؾ]"gXtɺ` 4|L0Aႏ mdzV0AO_߻blj^$ Mz8 DZ$qcf;`z EibͣEֻc{;߅ϟ&I[&Wi<[_nP?m/mz|k۵_ FǬF-ǿ&xh p:iy'Lub&B(X&Zņ{%Fjc{.C$z9ocͧ{ ZPKWV1TLa0]@ j KjskMĚi5$Fa3GLm qޤ嫟",b цـHlM$Mds\;EQ_&-S]b㊢dž$9>k]=t7 Fe=k)[2e=tt6[޵&6!a|Vj!X">[FUe|2ݞzя [ EĆ!{|b|]>B(W]NPr02$S0" jkCqT ' [sJ!u)ʲVUF +?MUXlsljNrPM,h:M'bBDZ M`X+rDF蒦r y</^0ɥ\0Ns(T.ew[5j2 #,\(8JVלҗ e 鲒)D#"IdXQ&OfS)7sÙ d1B!EjI2o&}ޑg_z}cEP>#ob\jP7gZ$ x&r<]ݞ׹ OܷKj>\Ma+;h8{w]0).y\ך'[ '߽^xֈ$5>_!Ab"B_Gd1UYXզJ+??x*}q`|#hc}(tTlũTk l2$\V'8ow]q/%b0‛Bn>u+L|XAyG|J0E>;;'c^ `@莰X X K/{+yZwڊ s[jRa lϩv{IK^(+GdDRA$jnMa~ BVΗbk`~vӢ3ŕO&f[]3jzL,MJe#vrIi~(kNV1Bޗ;qnJOb`̂BLB"Gw"$Bs񱑬M5FXZ*hhŸ5'/RDcĿN6dzsN9I*u%.BYd&B6(T~5KW7dzsNTI,?A[#FQތ1AUQղ"Cs- y8\O0|)r-%tmƂduL/dr(M7|sˑwt&]^m*_/bcI'*Q4շUFZhkP?a[IK21It''&=Ԯ`fmƉ*~D^6g[$ŧ :ϊ Ba1DڭBKu k_x5(= _5^8yo8O& bXU_Ђj!@3i BA)lW{_^ +Oe] پ/g͒se x7J 7;Z+ z< x5˸))sA#zjQ<2aI6Q^Jr8!*n Ԫ}`VBu+YrnmiՀڄf~毩T*TT$kvoU u98ik9sXܵ_ƆN,R]uh[ՇsՋӓǛv⮲8^P1O/ (*&J_B)c[JD+33 /L4;YixyGqb|:%>[Sz'0jQ zGӫ-D eXeb9{V6/ڴ:y\8İų77S(I&L=Q8K,/)w,~f5_iӯ0;|<O Wzbdlc8& t|&D7O7aS~0Єh9.Wx4L9uçJŁ"cx4tS(l٭h᲋@nJӮwA@Ah!~v-wС.fprBI@KMGLM}&4.3 pb\sՕT~.ѧ+Z)ewW,aF> jiTzA%陈1)a߁Nq5#!vCbt`$CtO&T!ϽjJOW7uW)^ZL̢Ɣbl{k<^H)'~K+R3B+1@]e_f,8 `lC>PpmFמWHj*J*{ZUC%[&5UM* L *w`q}j4*f=V5M RKQh6K]Ⱦu kʵĭYG -!͐ :D=2 O(lۣ~$ kpJb W uzȕl1/R-@ӤƓ0L^Xk3H4Sl~m6 s8Gh"8hi `_txF'޼Hi[U{D2}?~yQxԼmTT$BPx2<qbe-/=@@T=z٫y¨Y?TݺE߼Yef]/j\'_kk;8"^[c,C Cx?k&`rddv^v398y`31wDMJR% AK9Gu!īf ( $vUZim&@2y)WpmP52%Ik3^,8\[4']$-} 3Vmx_m5!:E@W{sewxF:4](ErZeF^Jˁr"S$,G/lTҡ8)91꧿?;|з,ZwJ4nYb6_in毧_=q 6&_vQOHX?b^5B+r㇔5gX5$^I7'žH ?{H:ԐEr愥fȉ9& fEfb>9U>yxxx/*m]ǒ| <c#?MHՈ!F(W0B&Hn;!M;aWgb vxR 8P;9݃ SϰЩׯGKA/ 6R5A5ȸACf|6L U%H+<{Oblj4BxHn30saU5jH`{4ъb}=`t0:0;7vXapY##z=2j[@g cχgИ 9`RCcRWiX; nڗM3rL\Yp?]n 4P+5/̰.cBsxkD(QhRQ6ΨQumhQm\ Ǖj]ixaOyf]5c6xSw UDC$[ݔ)p'I6l<*3Wd-f@iAA5$MК.VX`B_hI+ 4Xjn\úcXI1 Nj$&.Z=]+.;o}Ba+6Yj֝JzbXf]`ICP'NYКA vВFw$Iԭ;}6~G1DlDcȈOC0b0mNtiO>/E,#WPK"Wv]J~١AErba=uJwdڪ(:mp#@lbxCZdR#͚ (o3"1?DMh|cx\ЂT0.=ݯq&"]wt:֝d9ZXLQM BXťh/ƘJj))+Uzf2kY@ O-Ow4BlYXmBֽ"Nf&'*ԋ5QK1UM!0KaC}9%deӖh2 j-5ݍ=-FWל)#8E1q%MW+7Umd1k,zfAX$Ʀkʆ<ALcZԣ ]6Ƭn%EgʊIܟmɩWⳔ񷋿w@ `Sׯ }؉!X~nִfWUMQM34ALF`$Bpsȕh\6{^eV^=T)v33kƲ&&S 8E7 X+5{H ([x0鼐 :">csTe?*@蘿=pR(p !Ο4~z*]eV# p]] lVCEcFDF$IRH0`8kӢHŁa Da ! (" B"ۢ = .ZN1j AԿKQ h0~€Nʜ_Q8Eq`D[ig_7|p[M*[{ܰyx!{GQ"Fj]CN]46_cVh;Oy~̌^}:CXb0Ά, <.0@Xx.:DGhV+Aܭ *O$0ʴaqH6K,J )9V0|{p 3zj.) c#a$atKabl?"#CIqvf XL,BTRߦTn@6!tI|?5"<5̑TfJ k7lO+2|U>Eh"M)@UZC(rG!ep&0r> M|$seHfKJciTŴՋU)Yk4eMd΍ٙBsgceㅛ#B'l,ԇ]R P̔Tsg5sekI;Dk~o U.PC/SI 2`G*bd|ĺKx짜@ 8x5lBi"V!)%ɛ@P j#N򜏊͠#0EɅpZcQwrgP ktQ:[\>bo>d q@\:nVMְMf_tY0Hj>/ sLO:^*"G/9CwjʟvpDq6C+LRvI$ Irk!1}MD9:IDb Dz0n )UEW{X s_EFLR5uV^ʞ$0Ęȡ/YM0 1Z%cA1CbLL{}Q]i0,z|CYfNDc@C= H6u:=+dJF|R%4FHШb~V$x^DubeG,tK| LYa @ * isrpHJ>Xn%`U`$R(D…0SSZ6bUk Z:ۈ|*#GHG]pc#Ԕ@ȢS4/Zdsž(,J?n'57l,Zq' 6wf\QAf^E-!Z6d?V8} ]oB?%BtuH=?^9(/>/″ Xgyp؎/[kf4xL@z#*0#Ƒ;Y$8u5L^CؠL=#zs>s#g2 O c`yad$ mY^ aX޾R7Y Ti4h׀Z1_oL.g]zQ'f7l20z,LD W]p_S޻q֠*3Ks19$k<Ԁ߳ȟ5:9pK5߲6ފ{=DCGTH'|uȧM` >7 F5lNxsN'1{ 04pCtI›urR8kQ{0)YBw^)It4qV=J ;BdJP@,\-.fFG]] `u7-Mq*<+m^N]]Y?Lu ,x>!p-߶BY%q0xee(!$!X`W@;azSNVff<r7ui[ZZ2,}8!ϱPs*w 0Hs`n4zH ݚ%Xk\PDDR쨡:7;xebe Ԃ@a6N%)C6!ZsN(T;T~2YDX xUV[7p,.rH#ssx2P "(