ELF

>
À>@¸@8@# 
Ü'
Ü'
 
0-
0-!0-!X7= H-
H-!H-!à
à
È
È
È
$$Påtdð
ð
ð
||QåtdRåtd0-
0-!0-!ÐÐ
GNU©E2Ù!Gª=zü¡Y.Žœrl
˜Â0
@	lmnoqr)õ‹ÀëÓïERx5BEÕìÙqX¹ñ»ã’|	p98äµ¢{é6Ä )¼UŒU=(jLÐg
¶âõ¾
(ŒZË
ÿ
Ü
õ¤‡Üeý<k
&°
IÅ“ZÚG¡tŒ
y
 ØB
&

” ”	ÍîÓÉâAµòïÛ‡,
smu€úõa &}
è¸o
´—í
8 V
‡R"b¦†§Æ@ 
QÀd!”õšÙ
^ˆd!eˆd!	p9q8j!__gmon_start___init_fini_ITM_deregisterTMCloneTable_ITM_registerTMCloneTable__cxa_finalize_Jv_RegisterClassesPyBaseObject_TypePyExc_TypeErrorPyErr_FormatPyExc_ValueError_Py_TrueStruct_Py_ZeroStruct_Py_NoneStructPyObject_IsTruePyNumber_IntPyNumber_LongPyErr_OccurredPyErr_SetStringPyLong_AsUnsignedLongPyExc_OverflowErrorPyObject_GetAttrexplogPyCapsule_NewPyDict_SetItemPyString_FromStringPyImport_ImportPyOS_snprintfPyErr_WarnEx__stack_chk_failPyObject_GetItemPyCapsule_GetPointerPyExc_RuntimeErrorPyModule_GetDict_PyThreadState_CurrentPyFrame_NewPyTraceBack_HerePyCode_NewPyMem_ReallocPyString_FromFormatPyMem_MallocPyLong_AsLongPyExc_SystemErrorPyType_IsSubtypePyFloat_FromDoublePyTuple_NewPyList_NewPyDict_NewPyInt_FromLongPyObject_CallFunctionObjArgsPySys_GetObjectPyFile_SoftSpacePyFile_WriteStringPyFile_WriteObjectPyDict_NextPyString_Type_PyString_EqPyString_AsStringPyUnicodeUCS4_ComparePyFloat_TypePyFloat_AsDoublePyDict_GetItemPyDict_SizePyInt_FromSsize_tPyExc_NameErrorPyTraceBack_TypePyErr_NormalizeExceptionPyExc_BaseExceptionPyTuple_TypePyNumber_Subtract_Py_CheckRecursionLimitPyObject_RichCompare_Py_CheckRecursiveCallPyObject_CallPyUnicodeUCS4_FormatPyObject_GetBuffermallocPyEval_SaveThreadPyGILState_EnsurePyString_FormatPyGILState_ReleasepowPyList_Type__finitePyEval_RestoreThreadPyBuffer_ReleasefreePyErr_FetchPyErr_Restoreinitsgd_fastPy_GetVersionPyString_FromStringAndSizePy_InitModule4_64PyImport_AddModulePyObject_SetAttrStringPyString_InternFromStringPyExc_ImportErrorPyUnicodeUCS4_DecodeUTF8__pyx_module_is_main_sklearn__linear_model__sgd_fastPyTuple_PackPyType_ReadyPyImport_ImportModulePyObject_GetAttrStringPyCObject_TypePyErr_PrintPyExc_AttributeErrorPyErr_ExceptionMatchesPyCObject_AsVoidPtrPyCFunction_NewExlibm.so.6libpthread.so.0libc.so.6_edata__bss_start_endGLIBC_2.2.5GLIBC_2.4








: ui	v
Tii
‚ui	v0-!G8-!ÐFÀ2!À2!àA!g!èA!øe!B!`f!B!`f! B!h!0B!Ðg!@B!Ðg!`B!f!hB!ˆg!pB!`g!xB!g!€B!h!ˆB!hh!B!pg!˜B!ðg! B!Hg!¨B!°g!°B!8f!¸B!˜f!ÀB!¨f!ÈB! f!ÐB!(f!ØB!hg!àB!Àg!èB!ðf!ðB!xf!øB!€g! C!hh!(C!€A!HC!`h!PC!±@!pC!Xh!xC! =!˜C!Ph! C!`=!ÀC!Hh!ÈC!`<!èC!@h!ðC! =!D!8h!D!à<!8D!0h!@D!¶?!`D!(h!hD!À>!ˆD! h!D!`>!°D!h!¸D!	@!ØD!h!àD!A!E!h!E!rA!(E!h!0E!©?!PE!øg!XE!A!xE!ðg!€E!©@! E!èg!¨E!A!ÈE!àg!ÐE!JA!ðE!Øg!øE!ú@!F!Ðg! F!¡@!@F!Èg!HF!FA!hF!Àg!pF!=A!F!¸g!˜F!8A!¸F!°g!ÀF!Ž?!àF!¨g!èF!™@!G! g!G!hA!0G!˜g!8G!Ë@!XG!g!`G!X@!€G!ˆg!ˆG!<@!¨G!€g!°G!P?!ÐG!xg!ØG!O@!øG!pg!H!F@! H!hg!(H!€?!HH!`g!PH!3A!pH!Xg!xH!*A!˜H!Pg! H!þ?!ÀH!Hg!ÈH!Ä@!èH!@g!ðH!2@!I!8g!I!?!8I!0g!@I! <!`I!(g!hI!‘@!ˆI! g!I!NA!°I!g!¸I!ô@!ØI!g!àI!î@!J!g!J!dA!(J!g!0J!œ?!PJ!øf!XJ!(@!xJ!ðf!€J!‰@! J!èf!¨J!è@!ÈJ!àf!ÐJ!p?!ðJ!Øf!øJ!0?!K!Ðf! K!ï?!@K!Èf!HK!bA!hK!Àf!pK!ä?!K!¸f!˜K!â@!¸K!°f!ÀK!`?!àK!¨f!èK!%A!L! f!L!Ü@!0L!˜f!8L!@!XL!f!`L!ð>!€L!ˆf!ˆL!y@!¨L!€f!°L!BA!ÐL!xf!ØL!`A!øL!pf!M!q@! M!hf!(M!A!HM!`f!PM!@!pM!Xf!xM!A!˜M!Pf! M!^A!ÀM!Hf!ÈM! >!èM!@f!ðM!½@!N!8f!N!i@!8N!0f!@N!\A!`N!(f!hN!Ù?!ˆN! f!N!Î?!°N!f!¸N!a@!ØN!f!àN!Ã?!O!f!O!@!(O!f!0O!A!PO!øe!XO!ZA!xO!ðe!€O!Ö@!øO!
P!ðJP!@
ÈP!€Q!Q!ðkQ!°M€Q!ÎùˆQ!€\ØQ!ˆ
ðQ!ðJpR!À
¨R!`S!èR!pjøR!ÐM`S!ÎùhS!@]¸S!
ÐS!ðJPT!@
ˆT!@U!ÈT!ðhØT!ðM@U!ÎùHU!^˜U!
°U!ðJ0V!8
hV! W!¸V!N W!Îù(W!À^xW!p
W!ðJX!˜
HX!Y!˜X!PNY!ÎùY! _XY!à
pY!ðJðY!
(Z!àZ!hZ!PgxZ!pNàZ!ÎùèZ!€_8[!
P[!ðJÐ[!0
\!À\!H\!°eX\!NÀ\!ÎùÈ\!@`]!@
0]!ðJ°]!p
è]! ^!8^!°N ^!Îù¨^!aø^!p
_!ðJ_! 
`!0N˜`!Ø
°`!ðJ0a!
¸a!M8b!8
Pb!ðJÐb!h
c!Àc!Xc!@MÀc!O÷Èc!ðbØc!à:!d!Ý÷d!€Äd!à2! d!Ùù(/!0/!	8/!
@/!H/!
P/!lX/!`/!#h/!$p/!+x/!-€/!6ˆ/!8/!9˜/!; /!B¨/!D°/!G¸/!HÀ/!PÈ/!UÐ/!VØ/!Xà/!^è/!`ð/!dø/!j0! 0!(0!00!80!@0!H0!P0!X0!`0!h0!p0!x0!€0!ˆ0!0!˜0! 0!¨0!°0!¸0!À0!È0!Ð0!Ø0! à0!!è0!"ð0!%ø0!&1!'1!(1!)1!* 1!,(1!.01!/81!0@1!1H1!2P1!3X1!4`1!5h1!7p1!9x1!:€1!<ˆ1!=1!>˜1!? 1!@¨1!A°1!C¸1!EÀ1!FÈ1!IÐ1!JØ1!Kà1!Lè1!Mð1!Nø1!O2!Q2!R2!S2!T 2!W(2!Y02!Z82![@2!\H2!]P2!_X2!a`2!bh2!cp2!dx2!e€2!fˆ2!g2!h˜2!i 2!kHƒìH‹ö H…ÀtèËHƒÄÃÿ5rö ÿ%tö @ÿ%rö héàÿÿÿÿ%jö h
éÐÿÿÿÿ%bö héÀÿÿÿÿ%Zö hé°ÿÿÿÿ%Rö hé ÿÿÿÿ%Jö héÿÿÿÿ%Bö hé€ÿÿÿÿ%:ö hépÿÿÿÿ%2ö hé`ÿÿÿÿ%*ö h	éPÿÿÿÿ%"ö h
é@ÿÿÿÿ%ö hé0ÿÿÿÿ%ö hé ÿÿÿÿ%
ö h
éÿÿÿÿ%ö héÿÿÿÿ%úõ héðþÿÿÿ%òõ héàþÿÿÿ%êõ héÐþÿÿÿ%âõ héÀþÿÿÿ%Úõ hé°þÿÿÿ%Òõ hé þÿÿÿ%Êõ héþÿÿÿ%Âõ hé€þÿÿÿ%ºõ hépþÿÿÿ%²õ hé`þÿÿÿ%ªõ héPþÿÿÿ%¢õ hé@þÿÿÿ%šõ hé0þÿÿÿ%’õ hé þÿÿÿ%Šõ héþÿÿÿ%‚õ héþÿÿÿ%zõ héðýÿÿÿ%rõ h éàýÿÿÿ%jõ h!éÐýÿÿÿ%bõ h"éÀýÿÿÿ%Zõ h#é°ýÿÿÿ%Rõ h$é ýÿÿÿ%Jõ h%éýÿÿÿ%Bõ h&é€ýÿÿÿ%:õ h'épýÿÿÿ%2õ h(é`ýÿÿÿ%*õ h)éPýÿÿÿ%"õ h*é@ýÿÿÿ%õ h+é0ýÿÿÿ%õ h,é ýÿÿÿ%
õ h-éýÿÿÿ%õ h.éýÿÿÿ%úô h/éðüÿÿÿ%òô h0éàüÿÿÿ%êô h1éÐüÿÿÿ%âô h2éÀüÿÿÿ%Úô h3é°üÿÿÿ%Òô h4é üÿÿÿ%Êô h5éüÿÿÿ%Âô h6é€üÿÿÿ%ºô h7épüÿÿÿ%²ô h8é`üÿÿÿ%ªô h9éPüÿÿÿ%¢ô h:é@üÿÿÿ%šô h;é0üÿÿÿ%’ô h<é üÿÿÿ%Šô h=éüÿÿÿ%‚ô h>éüÿÿÿ%zô h?éðûÿÿÿ%rô h@éàûÿÿÿ%jô hAéÐûÿÿÿ%bô hBéÀûÿÿÿ%Zô hCé°ûÿÿÿ%Rô hDé ûÿÿÿ%Jô hEéûÿÿÿ%Bô hFé€ûÿÿÿ%:ô hGépûÿÿÿ%2ô hHé`ûÿÿÿ%*ô hIéPûÿÿÿ%"ô hJé@ûÿÿÿ%ô hKé0ûÿÿÿ%ô hLé ûÿÿÿ%
ô hMéûÿÿÿ%ô hNéûÿÿÿ%úó hOéðúÿÿÿ%òó hPéàúÿÿÿ%êó hQéÐúÿÿSH‹GH÷€¨€
tHÿH‰ûé¥H‹@`H…ÀtyHƒ¸tèþÿÿHæ·ëHƒ¸˜tWèüÿÿHҷH…ÀtFH‹pH‰ÃH÷†¨€
uUH‹4ð L‹FH5ÄH‰ÑH‹81Àè¤þÿÿHÿu
H‹CH‰ßÿP01Ûë#èýÿÿH…ÀH‰ÃuïH‹õï H5q·H‹8èžûÿÿH‰Ø[ÃAWAVA‰ÎAUI‰õATI‰üUSHìèdH‹%(H‰„$Ø1ÀH‰T$è‚üÿÿH…ÀH‰Ã„
H‰ÇèÞþÿÿHÿH‰Åu
H‹CH‰ßÿP0H…í„úL‰ïèKüÿÿH…ÀH‰Ã„ÖH‰ÆH‰ïè$þÿÿHÿI‰Çu
H‹CH‰ßÿP0HÿMu
H‹EH‰ïÿP0M…ÿ„°I‹Gö€«€u#H‹ï H5–ÃL‰éL‰âH‹81ÀèŽýÿÿéšE…öI‹W u=H;T$v6H\$HÃM‰èL‰á¾È1ÀH‰ßè(ûÿÿ1Ò1ÿH‰Þèúÿÿ…ÀxYL‰øë<H;T$L‰øt2H‹¢î H5ƒÃL‰éL‰âH‹81Àèýÿÿë*HÿMu
H‹EH‰ïÿP01ÀH‹Œ$ØdH3%(tèÿùÿÿIÿuáI‹GL‰ÿÿP0ëÕHÄè[]A\A]A^A_ÃUSQH‹5¢%!èýùÿÿH…ÀH‰ÃtM1öH‰Çè»üÿÿH…ÀH‰Åu è.ûÿÿH…ÀuH‹úí H5ÃH‹8è³ùÿÿH‹HPÿH…ÒH‰uH‹CH‰ßÿP0ë1íZ[H‰è]ÃSHƒìè%ýÿÿH…ÀH‰ÃtH‹@H‹€¨©€tH‹SHcʉÐH9Ñt<ë©
H‰ßt+è¼úÿÿH‰ÂHcÊH9Ñt H‹²í H5óÃH‹8è+ùÿÿƒÈÿëè’ÿÿÿH‹3HVÿH…ÒH‰uH‹S‰D$H‰ßÿR0‹D$ëƒÈÿHƒÄ[ÃATH…öUSH‰óuH‹êì H5ȴ1íH‹8èÑøÿÿëAI‰üH‹?H9þu½
ë/èxûÿÿ…	ÅuîI‹$H‹KH5‹ÃH‹PH‹àì H‹81Àè^ûÿÿ[‰è]A\ÃAWAVAUI‰õATUSHƒìH‹5ç$!H‰|$H‹=['!è>H…ÀH‰Å„ƒE1äM…íu1ÿèÓöÿÿH…ÀI‰ÅtqI‰ÄH‹=9'!èûÿÿH…ÀI‰ÆtZèúÿÿH…ÀH‰ÃtTHƒÏÿè~úÿÿH…ÀI‰ÇtCH‹t$I‰ÁM‰è1ÀHÇ$H‰ÙL‰òH‰ïèƒùÿÿIÿI‰ÅuI‹GL‰ÿÿP0ëE1íëD1ÛE1íëE1íHÿMu
H‹EH‰ïÿP0M…ätIÿ$uI‹D$L‰çÿP0H…ÛtHÿu
H‹CH‰ßÿP0HƒÄL‰è[]A\A]A^A_ÃAWI‰ÿAVAUATUH,ÎSH‰óHƒìHLt$0Ll$(Ld$8H‰T$L‰D$HÇD$(HÇD$0HÇD$8L‰ñL‰êL‰æL‰ÿèWùÿÿ…À„â
H‹L$(H‰èH‹H…ÒtH9
tHƒÀëíH‹T$0H‹t$H)ØH‰ë¹H‹AH;>ë tH‹€¨©„ŒH‰êH‹H…ÀtAH‹8H‹t$(H‹FH9Gu)H‰T$è«øÿÿ…ÀH‹T$tH‹L$0H‹|$H‰ÐH)ØH‰ëHƒÂë·Hƒ:…DÿÿÿH9ëtwH‹H‹t$(H‹8H9÷„×H‹FH9Gu
èTøÿÿ…À…ÀHƒÃëʩ„ÞH‰êH‹H…Àt!H‹8H‹t$(H9÷u>H‹L$0H‹|$H‰ÐH)ØH‰Hƒ:…ÍþÿÿH9ëuGH‹|$(èv÷ÿÿH‹T$H‰ÁH5ŸÂërH‰T$èùÿÿ…ÀH‹T$yè÷ÿÿH…ÀH‹T$të_tœHƒÂëH‹H‹t$(H‹8H9÷tèäøÿÿ…ÀyèëöÿÿH…Àtë2tHƒÃë‡H‹|$(è÷ÿÿH‹T$H5fÂH‰ÁH‹¤é H‹81Àè"øÿÿƒÈÿë H‹Žé H‹T$H5rÂH‹81ÀèøÿÿƒÈÿHƒÄH[]A\A]A^A_ÃUH‰ý1ÿSHƒìè.õÿÿH…ÀH‰Ãt6H‰ÆH‰ïèõÿÿH‹HQÿH…ÒH‰uH‹SH‰D$H‰ßÿR0H‹D$H‰ÃëH‰ÃHƒÄH‰Ø[]ÃfDH(!H=!UH)øH‰åHƒøw]ÃH‹´è H…Àtò]ÿà@Hñ!H=ê!UH)øH‰åHÁøH‰ÂHÁê?H
ÐHÑøu]ÃH‹'é H…Òtò]H‰Æÿâ@€=É!u'Hƒ=é UH‰åtH‹=Òë è]÷ÿÿèhÿÿÿ]Æ !
óÃfffff.„Hƒ=(æ t&H‹§è H…ÀtUH=æ H‰åÿÐ]éWÿÿÿ€éKÿÿÿf.„fWÀÃff.„fWÀÃff.„fWÀÃff.„fWÀÃff.„fWÀÃff.„fWÀÃff.„f(ÐòÜÏòYÑf.Ðr
fWÀÃDf.ÈÏrò\ÂòYÀÃDòY¸Ïf(ÂÃff.„f(ÐòŒÏòYÑf.Ðr
fWÀÃDf.xÏrò\ÂòšÏfWÊòXÀòYÁÃDòY
XÏf(ÁÃff.„òYÁòOf.Èrò\Èf(ÁÄfWÀÃff.„òYÁòWf.Ðrò)ÏfWÁÃ@fWÀÃff.„òYÁòWò\ÐfWÀf.Ðvf(ÂòYÂóÃffffff.„òYÁòWò\ÐfWÀf.ÐvòY
¡Îf(ÁòYÂóÀf(ÐòŒÎò\ÑòYÂòYÂÀò\ÁÃff.„f(Ðò„Îò\ÑòOfTÂf.Ès!òAÎòYÁòYÑòYÑò\ÂÄò ÎòYÂòYÂÃffffff.„ò\Áò$ÎòOfTÐf.Êsf.½Ívf(ÁóÃDòèÍfWÁÃò\ÈòäÍfTÈò\Oò_
ƒÍf(ÁÃfffff.„f(ÙòWò\Øf.Úw%ò\Áf.ÂwfWÀÃfDòHÍÀò@ÍÃffffff.„ò\ÈòdÍfTÈfWÀò\Of.Èvf(ÁòYÁóÀò\ÈòWf.Êw)f.ÑvòÍfWÁò\ÂòXÀÃfDfWÀÃò\ÊòÌÌòYÁÀH‹GH‹€@
ÿàH‹¾
PЀú	w5HQ
¾I
ƒè0qÐ@€þwfD€HƒÂ
DAо
qÐ@€þvéH‰øÿÿÿÿÀ@€ÿs‡V
H®@¶×HcH
ÐÿàfH0ªÃ„HªÃ„HœªH
«…öHDÂÃH|ªH«…öHDÂÃHuªHĪ…öHDÂÃHæ©ÃH÷©Ã„Hü©Ã„HdªÃ„Hó©Ã„HMªÃ„H~©Ã„H†©Ã„H©Ã„H“©Ã„HܩÄHکÄH©Ã„H£©Ã„HiÄA‰ðAƒè
xgIcȉðHÁá9|QE…À~TE1Éë€~7DH
E9Á}%C
‰ÁÁé
ÈÑøHcȉÆHÁá‹9Ê}ØA‰ÀE9Á|Û1À9ÊŸÀ
ðóÃDóÃfD‹1öëâf.„Hƒìö‡ªH‰øu1öÿ0
H…ÀtH‹l!H‰PHƒÄÃH‹Lâ 1ÒH‹5“!ÿ8
ëÓff.„Hƒìè§ÿÿÿH…ÀtH‹#!H‰PHƒÄÃfHƒìè‡ÿÿÿH…ÀtH‹»!H‰PHƒÄÃfHƒìègÿÿÿH…ÀtH‹£!H‰PHƒÄÃfHƒìèGÿÿÿH…ÀtH‹‹!H‰PHƒÄÃfHƒìè'ÿÿÿH…ÀtH‹s!H‰PHƒÄÃfHƒìèÿÿÿH…ÀtH‹{!H‰PHƒÄÃfHƒìèçþÿÿH…ÀtH‹;!H‰PHƒÄÃfHƒìèÇþÿÿH…ÀtH‹#!H‰PHƒÄÃfHƒìè§þÿÿH…ÀtH‹!H‰PHƒÄÃfHƒìè‡þÿÿH…ÀtH‹ó!H‰PHƒÄÃfHƒìI9ÐH‰Ð}TH
æ§Hð§…öL‰$I‰ÀL
'©H5Ÿ³HEÊHƒø
H‹Xà H7¨LDÊH‰úH‹81ÀèÈîÿÿHƒÄÃH‰ÈH
˜§ë§@USHƒìH‹_H…Û„}H‹+H9ýtE‹w@¾DèéûÿÿH‹SðL‹MH5¢³H‹
H‹UH‹L‹
H‰ÁH‹Óß H‹8HƒÄ1À[]éSîÿÿH‹Hü¦H‹(‹w@¾Dè—ûÿÿI‰ØI‰ÁH‰éH‰ÚH5³ë¸fHw§H-–¦ëÍH;=Ñß ”ÀH;=?ß ”ÂÂt¶ÀÃ@H;=¡ß tïéâìÿÿfSHƒìH‹GH‹€¨©€tH‹G‰ÂH9Ðu>HƒÄ[é
txHƒxSèõìÿÿH‰‰ÁH9ÊtÝH‹<ß H5U³H‹8èµêÿÿƒÈÿëÂH…ÀH5³H7³HIðH‹ß H‹8èŒêÿÿƒÈÿë™H‹øÞ H5á²H‹8èqêÿÿƒÈÿé{ÿÿÿèîÿÿH‰ÃÈÿH…Û„gÿÿÿH‰ßè=ÿÿÿH‹HQÿH…ÒH‰…LÿÿÿH‹S‰D$H‰ßÿR0‹D$é5ÿÿÿH‹WH‹‚H…ÀtÿàH‹B@H…ÀtHƒÆ$ÿàé
íÿÿf.„òYÁHƒì(f.€Æw^ò~Æf.ÐvòxÆHƒÄ(fWÁÀò$èéÿÿf(Ðò$òXÆòEÆHƒÄ(fWÁò^ÂÄò(ÆòL$fWÂf)$èÄèÿÿf($òL$HƒÄ(fWÊòYÁÃfff.„òYÁf.ÔÅwRò
ÒÅf.Èvò
ÌÅfWÁÀHƒìò
´ÅfWÁè[èÿÿòXkÅHƒÄézéÿÿf.„ò
ˆÅfWÁé/èÿÿffffff.„U1ÒH‰ýH‰÷1öSHƒìè[ëÿÿH…ÀH‰ÃtIH‹5L!H‰ÂH‰ïè!ëÿÿ…ÀH‹xHPÿ1ÀH…ÒH‰t4HƒÄ[]ÃDHƒè
H…ÀH‰u
H‹CH‰ßÿP0HƒÄ¸ÿÿÿÿ[]ÃfDH‹S‰D$H‰ßÿR0‹D$HƒÄ[]Ãffffff.„AWAVAUA‰õATA‰ÔUH‰ýSHƒìX…öH‰L$Hu…Ò„äA‰ÖëA‰öH‹þ!H…Û„uD‹=æ!D‰òH‰ßD‰þèhùÿÿA9ÇŽWH˜HÁàH
ÃD;3…EH‹kHƒE
H‹=¥!1Ûè†êÿÿH…Àt+H‰ÂH‹ßÛ 1ÉH‰îH‹8èŠæÿÿH…ÀH‰ÃtD‰`|H‰ÇèèÿÿHƒm
t?H…ÛtHƒ+
tHƒÄX[]A\A]A^A_ÃDH‹CH‰ßH‹@0HƒÄX[]A\A]A^A_ÿàDH‹EH‰ïÿP0ëµH‹|$Hè*èÿÿH…ÀI‰Æt®fH‰ïèèÿÿH‰ÃH…Û„
L‹
Õ!L‹Æ!1É1Ò1ö1ÿD‰d$0H‰\$(L‰D$8L‰t$ L‰L$L‰L$L‰L$L‰$èzæÿÿIƒ.
H‰Å„íHƒ+
u
H‹CH‰ßÿP0H…í„0ÿÿÿE…íH‹’!uE…ä„ËþÿÿE‰åH…Û„=
D‹=l!D‰êH‰ßD‰þèî÷ÿÿLcðE9÷~IcÆHÁàH
ØD;(„L
D;=@!D‰þ„ƒA9öA‰ð}&IcÈAƒè
HÁáE9ðL‹LðL‹TøL‰L‰TuÝIÁæƒÆ
I
މ5õ!E‰.I‰nHƒE
é0þÿÿ@Iƒ.
…rþÿÿI‹FL‰÷H‹@0éþÿÿfDI‹FL‰÷ÿP0éÿÿÿE@H‰ßIc÷HÁæèíåÿÿH…ÀH‰Ã„ÝýÿÿH‰’!D‰=‡!‹5}!éEÿÿÿH‹|$Hè~æÿÿH…ÀI‰Æ„þýÿÿE…í„IþÿÿHʮH=¡D‰éH‰î1Àè^çÿÿH‰Ãé1þÿÿ¿è<èÿÿH…À„oýÿÿH‰$!Ç!@Ç!
D‰(H‰hHƒE
éCýÿÿH‹xH‰hHƒ/
…1ýÿÿH‹GÿP0é%ýÿÿf„AW1ÀAVAUATUSH‰ûHƒì(¾WD„Ò„¶H‹GH‹H‹	Hƒy„ì€úp„«€ús„¢¶wGE1À@„ö„•‹qXA¾
ɚ~#Ĕ
A¾
Htñ€L¯qHƒÁH9ñuòÆCGHÇC0
J¾‹s@€ù1‡ÕH=¨¤¶ÉHcH
Ïÿç@H5y®H‹:Ø H‹81ÀèÀæÿÿ¸ÿÿÿÿHƒÄ([]A\A]A^A_Ã@ƒyX
L‹K0A¸
@”Æ@ˆsGH‹H‹	H‹yI9ù„<ÿÿÿL‰ÉH‰úH5J­ëŸA¾
égÿÿÿDA‰ÒLޤL
s¦M~ÿH‹(¶CFL‹m<^t<@…IJ¾€ù1‡•
¶ÉIcˆL
Áÿáf„A¼<@„âI‹UA¶E\L9â„P<C„^<Ht
A€úH…ºI9Ô…±H‹CH‹MH‹S HHH9Ê…àþÿÿL
âM…ötM¯çL
âHƒk0
H‰S H9Ý„gHMH‰H‹UH…Ò„3€z\Su1H‹RH‹CH‹u(Hƒ:H‹x„3HHH
þH‰KH‰PH‹CH‰pHƒ{0„$H‹C‹s@¾SDééþÿÿ<@A¼… ÿÿÿf¶sDFÁ<4‡©H=Z¤¶ÀHc‡H
øÿàfDƒþ
MäIƒäøIƒÄéÛþÿÿDƒþ
MäIƒäüIƒÄéÃþÿÿDA¼é³þÿÿDA¼
é£þÿÿDƒþ
MäIƒäðIƒÄ é‹þÿÿDH‹ùÕ H5ª«L‰L$L‰D$D‰T$H‹81Àèiäÿÿ¶CFE1äD‹T$L‹D$L‹L$éDþÿÿAºHéæýÿÿAºIéÛýÿÿƒþ
EÒAƒâAƒÂCéÈýÿÿAºUé½ýÿÿH‹ƒÕ H54«H‹81ÀèäÿÿH‹C‹s@E1Ò¾SDé’ýÿÿ€J@ù4‡Lÿÿÿ¶ÉIc‰L
ÉÿáH‹9Õ H5«L‰L$L‰D$D‰T$H‹8èÛàÿÿé=ÿÿÿfDD8ЄÆýÿÿ<CD…¢ýÿÿIƒ}„›ýÿÿH‹SH‹EHJHBH‰KI‹MH‰JH‹SH‰Bé
þÿÿfDH‹CH‰ÂHƒèH‰CH‹jðH9Ý…ýÿÿ@Hƒ{0HÇC…ýÆCDÇC@HƒÄ([]A\A]A^1ÀA_пH‹K 1ÒH‰ÈH÷÷H…Òt
H
ùH)ÑH‰K Hƒ{8…ÓüÿÿFÁ<4‡äH»£¶ÀHc‚H
Âÿ‿ë®f„¸H‰C8éüÿÿf¿ëŽf„¿é{ÿÿÿ¸ëÔ€H‹ÑÓ @¾ÖH5~©H‹81ÀèLâÿÿHƒÄ(¸ÿÿÿÿ[]A\A]A^A_ÄH‰Íéˆüÿÿ„H‰ßèhóÿÿHƒÄ(¸ÿÿÿÿ[]A\A]A^A_øé_ÿÿÿ¸
éUÿÿÿ¸éKÿÿÿH‹OÓ @¾ÖH5ü¨L‰L$L‰D$D‰T$H‹81Àè»áÿÿ1ÀD‹T$L‹D$L‹L$é
ÿÿÿH‹Ó ‹QXH5œ¨D‰ÁH‹81Àè‡áÿÿ¸ÿÿÿÿéÂúÿÿffff.„USHƒìòGèPßÿÿH…ÀH‰Åt?¿
è¾ßÿÿH…ÀH‰ÃtpH‰h¿è¨ßÿÿH…Àt=H‹Ä!Hƒ
H‰PH‰X HƒÄ[]ý
H
>šH=>©ºI
䔏
öÿÿ1ÀëÖH‹½Hƒè
H…ÀH‰uÎH‹CH‰ßÿP0ëÂHƒm
u
H‹EH‰ïÿP0½ëªfffff.„USHƒìòGèÞÿÿH…ÀH‰Åt?¿
èþÞÿÿH…ÀH‰ÃtpH‰h¿èèÞÿÿH…Àt=H‹!Hƒ
H‰PH‰X HƒÄ[]ýÐH
~™H=ƨº,
‰îèJõÿÿ1ÀëÖH‹½×Hƒè
H…ÀH‰uÎH‹CH‰ßÿP0ëÂHƒm
u
H‹EH‰ïÿP0½Òëªfffff.„USHƒìòGèÐÝÿÿH…ÀH‰Åt?¿
è>ÞÿÿH…ÀH‰ÃtpH‰h¿è(ÞÿÿH…Àt=H‹T
!Hƒ
H‰PH‰X HƒÄ[]ý©H
¾˜H=F¨º
‰îèŠôÿÿ1ÀëÖH‹½°Hƒè
H…ÀH‰uÎH‹CH‰ßÿP0ëÂHƒm
u
H‹EH‰ïÿP0½«ëªfffff.„Hƒì¿è’ÝÿÿH…Àt#H‹Æ	!Hƒ
H‰PH‹'!Hƒ
H‰P HƒÄÃH
$˜H=ܧºí¾Z
H‰D$èèóÿÿH‹D$ëҐHƒì¿è2ÝÿÿH…Àt#H‹n	!Hƒ
H‰PH‹Ç
!Hƒ
H‰P HƒÄÃH
ėH=´§ºá¾ÑH‰D$èˆóÿÿH‹D$ëҐUSHƒìòGèPÜÿÿH…ÀH‰Åt?¿
è¾ÜÿÿH…ÀH‰ÃtpH‰h¿è¨ÜÿÿH…Àt=H‹ì!Hƒ
H‰PH‰X HƒÄ[]ýÖH
>—H=^§ºÈ‰îè
óÿÿ1ÀëÖH‹½ÝHƒè
H…ÀH‰uÎH‹CH‰ßÿP0ëÂHƒm
u
H‹EH‰ïÿP0½Øëªfffff.„USHƒìòGèÛÿÿH…ÀH‰Åt?¿
èþÛÿÿH…ÀH‰ÃtpH‰h¿èèÛÿÿH…Àt=H‹4!Hƒ
H‰PH‰X HƒÄ[]ý¤
H
~–H=֦º¨‰îèJòÿÿ1ÀëÖH‹½«
Hď
H…ÀH‰uÎH‹CH‰ßÿP0ëÂHƒm
u
H‹EH‰ïÿP0½¦
ëªfffff.„Hƒì¿èRÛÿÿH…Àt#H‹¦!Hƒ
H‰PH‹ç!Hƒ
H‰P HƒÄÃH
ä•H=l¦ºˆ¾z	H‰D$è¨ñÿÿH‹D$ëҐH¹!HÇFH‰wHÇGH‰H©•H‰GH‰>H‹GHÇG HÇ@ÆGE@Hu!ÆGF@HÇG(
HÇG0ÆGDÇG@ÆGGHÇG8€=Ÿ!Su.H‹WHJH‰OH‹HH‰JH‹WHÇBH‹@H‹€x\StÓóÐUH‰ýH=)•SHƒìèKÚÿÿH…ÀH‰Ã„—Hƒ
1öH‰Çè±×ÿÿ…ÀtH=
•H‰ÞèÎÙÿÿ…ÀxBº
H‰ÞH‰ïèšÙÿÿ…Àx.H=ܔH‰Þè§Ùÿÿ…ÀxH‹HPÿ1ÀH…ÒH‰tHƒÄ[]ÃH‹HPÿ¸ÿÿÿÿH…ÒH‰uâH‹S‰D$H‰ßÿR0‹D$HƒÄ[]ÃH‹‰Ì H5e”H‹8èBØÿÿHƒÄ¸ÿÿÿÿ[]ÃfDAVAUATI‰ÔUH‰ýSH‰óHƒì H…ÒHÇD$HÇD$…'
L‹FIƒø…ÒH‹~H‹V H‰|$H‰T$H‹ùË H9_tsèŽÙÿÿf(Ðf.B´‹{
H‹|$H9_taò$ègÙÿÿò$f(Èf.
´‹w
H‹Ef(ÂH‰ïÿPè=ØÿÿH…À„	
HƒÄ []A\A]A^ÀòWëf„òOë«H‹5*!L‰çIƒî
è&ØÿÿH…ÀH‰D$…‰L‹C@H=H“¾
¹ºèµêÿÿ¾ÁH
ú’H=R¤ºBèÈîÿÿHƒÄ 1À[]A\A]A^ÃL‹nIƒý
„ïIƒý„ÜM…íM‰èu™L‰çèqÕÿÿM…íI‰Æ„\ÿÿÿIƒý
u!H‹5p
!L‰çè€×ÿÿH…ÀH‰D$„äIƒî
M…ö§H‹|$é‹þÿÿH
e’H=½£ºQ¾ßH‰$è*îÿÿH‹$éÍþÿÿ…þÿÿò$è‘×ÿÿH…Àò$„gþÿÿ¾¼éÿÿÿ…ƒþÿÿòL$ò$èc×ÿÿH…Àò$òL$„_þÿÿ¾½éåþÿÿH‹F H‰D$H‹CH‰D$éÿÿÿHT$Lñ‘H5{Ü L‰éL‰çè<Þÿÿ…À‰3ÿÿÿ¾´éžþÿÿH=Ƒ¾
A¸
¹ºè-éÿÿ¾°ésþÿÿAUATUH‰ýSH‰ÓHƒì(H…ÒHÇD$…ÀL‹FM…À„™Iƒø
uKH‹~H‰|$H…ÿ„H‹BÉ H9G„€èÓÖÿÿf.‹±‹¦òEHƒÄ(1À[]A\A]ÃM‰àH=‘1ö¹
1Òè‹èÿÿ¾Ð	H
АH=`¢º˜èžìÿÿHƒÄ(¸ÿÿÿÿ[]A\A]ÃfDò±ë™fDòGé{ÿÿÿL‹fM…ätPIƒü
uŒH‹FH‰×H‰D$è.ÓÿÿH…ÀcH‹|$é-ÿÿÿ…TÿÿÿòD$è®ÕÿÿH…ÀòD$„:ÿÿÿ¾É	é_ÿÿÿH‰×èíÒÿÿH…ÀI‰Å~¼H‹5^ÿ H‰ßèÕÿÿH…ÀtH‰D$IEÿë˜HT$L/H5ÓÚ L‰áH‰ßètÜÿÿ…À‰wÿÿÿ¾¿	éÿÿÿfDAUATUH‰ýSH‰ÓHƒì(H…ÒHÇD$…ÀL‹FM…À„™Iƒø
uKH‹~H‰|$H…ÿ„H‹¢Ç H9G„€è3Õÿÿf.믋¦òEHƒÄ(1À[]A\A]ÃM‰àH=~1ö¹
1Òèëæÿÿ¾H
0H=𠺸èþêÿÿHƒÄ(¸ÿÿÿÿ[]A\A]ÃfDòx¯ë™fDòGé{ÿÿÿL‹fM…ätPIƒü
uŒH‹FH‰×H‰D$èŽÑÿÿH…ÀcH‹|$é-ÿÿÿ…TÿÿÿòD$èÔÿÿH…ÀòD$„:ÿÿÿ¾û
é_ÿÿÿH‰×èMÑÿÿH…ÀI‰Å~¼H‹5¾ý H‰ßèfÓÿÿH…ÀtH‰D$IEÿë˜HT$LŽH5CÙ L‰áH‰ßèÔÚÿÿ…À‰wÿÿÿ¾ñ
éÿÿÿfDAVAUATI‰üUH‰ÕSH‰óHƒì H…ÒHÇD$…òL‹FIƒø
uH‹~H‰|$H‹Æ H9Gt)è¤Óÿÿf.\®‹˜òAD$1ÀHƒÄ []A\A]A^ÃòGëÕH‰×èqÐÿÿH‹5’þ H‰ïI‰ÆèÒÿÿH‰ÁH‰D$IFÿH…É…—L‹CfDH=®¾
¹
º
èåÿÿ¾¨
H
ZH=RŸºûè(éÿÿ¸ÿÿÿÿéqÿÿÿ…bÿÿÿòD$èÒÿÿH…ÀòD$„Hÿÿÿ¾¤
ë·L‹nM…í„QÿÿÿIƒý
u H‹FH‰×H‰D$è³ÏÿÿH…ÀH‹|$éîþÿÿM‰èé\ÿÿÿHT$LH5É× L‰éH‰ïèJÙÿÿ…Ày̾
éPÿÿÿAVAUATI‰üUH‰ÕSH‰óHƒì H…ÒHÇD$…òL‹FIƒø
uH‹~H‰|$H‹Ä H9Gt)è$Òÿÿf.ܬ‹˜òAD$1ÀHƒÄ []A\A]A^ÃòGëÕH‰×èñÎÿÿH‹5Úü H‰ïI‰ÆèÑÿÿH‰ÁH‰D$IFÿH…É…—L‹CfDH=.Œ¾
¹
º
è•ãÿÿ¾ÿH
ڋH=žº
è¨çÿÿ¸ÿÿÿÿéqÿÿÿ…bÿÿÿòD$è
ÑÿÿH…ÀòD$„Hÿÿÿ¾ûë·L‹nM…í„QÿÿÿIƒý
u H‹FH‰×H‰D$è3ÎÿÿH…ÀH‹|$éîþÿÿM‰èé\ÿÿÿHT$L…‹H5YÖ L‰éH‰ïèÊ×ÿÿ…Ày̾ôéPÿÿÿAVAUATI‰üUH‰ÕSH‰óHƒì H…ÒHÇD$…òL‹FIƒø
uH‹~H‰|$H‹à H9Gt)è¤Ðÿÿf.\«‹˜òAD$1ÀHƒÄ []A\A]A^ÃòGëÕH‰×èqÍÿÿH‹5Zû H‰ïI‰ÆèÏÿÿH‰ÁH‰D$IFÿH…É…—L‹CfDH=®Š¾
¹
º
èâÿÿ¾&H
ZŠH=œº7
è(æÿÿ¸ÿÿÿÿéqÿÿÿ…bÿÿÿòD$èÏÿÿH…ÀòD$„Hÿÿÿ¾"ë·L‹nM…í„QÿÿÿIƒý
u H‹FH‰×H‰D$è³ÌÿÿH…ÀH‹|$éîþÿÿM‰èé\ÿÿÿHT$LŠH5éÔ L‰éH‰ïèJÖÿÿ…Ày̾éPÿÿÿAWAVI‰þAUA½
ATUSH2’Hƒì8HD$Hl$(H‰t$H‰D$¶€ú}‡

¶ÂHcƒH
ØÿàfDI‹FH‰t$(HƒÆ
Iƒ~(
H‹H‹H‰t$(D‹`X…L‰÷èqèÿÿƒøÿ„GH‹t$(E1ÿ¶€ú)ts„ÒtoJ÷€ùw
L‰èHÓà©€uâH‰ïè×Üÿÿƒøÿ„ÆE9ü~I‹VIcÏH‹H‹H‹TÊHcÈH9Ñ…¥H‹D$(¾€ú)…2€ú,H‰Æ„nAƒÇ
€ú)uE9ü…L„Ò„§AÆFG
IÇF(
€HƒÆ
H‰t$¶€ú}†ùþÿÿH‹|$è>Üÿÿƒøÿ„½H˜I‰F(H‹t$éÇþÿÿDE1äL‰÷èuçÿÿƒøÿ„KI‹F(H‹t$I‰F0A¶FEHƒÆ
AˆFF¶FÿE‰f@H‰t$IÇF(
AˆFDévþÿÿ@E1äA8VDuªE9f@u¤A¶FEA8FFu™HƒÆ
I‹F(IÇF(
I
F0H‰t$é:þÿÿ„A€~DtIƒ~„®L‰÷èÖæÿÿƒøÿ„¬
Iƒ~…’H‹D$HƒÄ8[]A\A]A^A_ÃfDL‰÷è æÿÿƒøÿ„v
I‹F(I
F A¶FEIÇF(
IÇF0AÆFDAˆFFH‹D$Hp
H‰t$é ýÿÿfDHƒÆ
L‰÷I‹^8H‰t$èCæÿÿƒøÿ„
H…ÛAÆFD„jÿÿÿI‹N 1ÒH‰ÈH÷óH…Ò„UÿÿÿH
ÙH)ÑI‰N éFÿÿÿ„HƒÆ
AÆFE=H‰t$é/ýÿÿDHF
H‰D$¶V
Jš€ù
†
€úd„†
ºZH5r”é\
DI‹F8M‹f(IÇF(
H‰D$HF
H‰D$€~
{…>L‰÷è€åÿÿƒøÿtZH‹D$AÆFDIÇF0IÇF8HƒÀ
M…äH‰D$„/
H‰ÆE1ÿë€IƒÇ
M9ç„
H‹t$L‰÷è6üÿÿH…Àuá1ÀHƒÄ8[]A\A]A^A_ÃHF
H‰D$¶H‰ÆAˆVEé:üÿÿ„H‹é½ H5Z˜H‹8èšÉÿÿ1ÀHƒÄ8[]A\A]A^A_Ãf„HF
H‰D$€~
:tHƒÆDH‰t$H‰ðHƒÆ
€~ÿ:uîHp
H‰t$éÊûÿÿ„HƒÆ
H‰t$(¶P
é€üÿÿfDH‹D$(¾H5q˜H‹R½ H‹81ÀèØËÿÿ1Àé"ÿÿÿH‰ÆA¼
éýÿÿfL‰÷èÝÿÿ1ÀéIÿÿÿHƒ|$H‰D$H‰Æ„NûÿÿH‹D$I‰F8é@ûÿÿfDH‹ñ¼ H5җH‹8è¢Èÿÿ1Àé¼þÿÿH‹D$ékÿÿÿfD€ú,„ÅûÿÿH‹¸¼ H59˜H‹81Àè7ËÿÿH…À…üÿÿ1Àéxþÿÿ€I‹FH5=˜D‰ùH‹H‹‹PXH‹r¼ H‹81ÀèøÊÿÿ뿉ÁH‹]¼ H5®—H‹81ÀèÜÊÿÿë£H‹C¼ H5ô–H‹8èôÇÿÿ1ÀéUþÿÿH‹&¼ H5ÿ—H‹8è×Çÿÿ1ÀéñýÿÿUH‰ýSHƒìH‹=¸ö H‹OH‹‘H…ÒtH‰îÿÒH‰ÃH…ÛtHƒÄH‰Ø[]ÃH‹Q@H…Òt)Hu$ÿÒH‰ÃëÝH‹>¼ HU$H5±ƒH‹81Àè9ÊÿÿëÄH‰îèoÊÿÿH‰Ãë²f.„USHƒì(H…ÿH‰|$HÇD$HÇD$„Z
Hƒ
H‹D$H…À„è
H;™» „Û
Hƒ
H‹D$H…À„áH;z» „ÔHƒ
H‹1» H‹D$H9X„ÃH‹» H5—H‹8è¼ÆÿÿH‹D$H…ÀtH‹0HVÿH…ÒH‰tsH‹D$H…ÀtH‹HQÿH…ÒH‰tBH‹D$H…ÀtH‹HQÿH…ÒH‰tHƒÄ([]Ãf.„H‹|$H‹GÿP0HƒÄ([]ÃDH‹|$H‹GÿP0ë°f.„H‹|$H‹GÿP0é|ÿÿÿ€HÇD$H‹T$H‹Bö€«€u=Hƒ|$„ÑH‹2º H5c–H‹8èÛÅÿÿéÿÿÿfD1ÀHÇD$é¾þÿÿHT$Ht$H|$è\ÅÿÿH‹ý¹ H‹T$H‹H‹xHH‰PHH‹T$H‹hPH‹XXH…ÿH‰PPH‹T$H‰PXt
Hƒ/
„¬H…ítHƒm
„„H…Û„âþÿÿHƒ+
…ØþÿÿH‹CH‰ßÿP0éÉþÿÿf.„H‹D$éXÿÿÿfDH‰D$H‰T$Hƒ
H‹›¹ H‹|$H‹0è¾Çÿÿ…À…JÿÿÿH‹7¹ H5 •H‹8èàÄÿÿéþÿÿH‹EH‰ïÿP0émÿÿÿf„H‹GÿP0éHÿÿÿ@AWAVAUATUSHƒìXL‹-#¹ H‰|$@H‰t$8H‰L$(L9î„€H‹D$8E1ÿE1öHÇD$ E1ÒE1ÉH‹L$ H‰ÓL‰ÅHƒ
H‹D$8L‰ÿHÇD$0M‰ôH9HŽ?@H‹DÈHƒD$ 
Hƒ
H…ÿH‰D$t
Hƒ/
„{H‹D$@H‹t$L‰T$L‰$H‹8è
ÄÿÿH…ÀH‰D$L‹$L‹T$„‡
H‹@H;¸ …M…ätIƒ,$
„FH‹D$L9è„¢
H‹PHƒú…'
H‹L$H‹AL‹a Hƒ
H‰$Iƒ$
L9è…­	M…Ét
Iƒ)
„M…Òt
Iƒ*
„$Hc}èÌÅÿÿH…ÀI‰Æ„^	H‰ÆL‰çè…ÆÿÿH…ÀI‰Ç„
Iƒ.
„†I‹GH‹€¨©€„pI‹WHcÂA‰ÖH9Â…Aƒþÿ„‹Iƒ/
„:H‹T$(IcÎH)ÚH)ÊHƒúŽ¿H‹$€x>…”
H‹ð L‹-fí H‹CH‹¨€H…í„ãL‹=û¶ I‹‹BƒÀ
‰BH‹ð¶ ;i1ÒL‰îH‰ßÿÕI‹ƒj
H…À„k
H‰ÃH‰ßèûÿÿHƒ+
„ØH‹D$0»ž½#E1öE1ÿH‰D$H‹L$8H‹
H‰D$ Hƒè
H…ÀH‰
„çM…ÿt
Iƒ/
„éM…öt
Iƒ.
„¹H
y~H=~‰މê1ÛèËÙÿÿH‹$H…ÉtH‹
H‰D$ Hƒè
H…ÀH‰
„oH‹L$H…ÉtH‹
H‰$Hƒè
H…ÀH‰
„ H‹L$H…ÉtH‹
H‰$Hƒè
H…ÀH‰
„M…ätIƒ,$
„
H‹L$H…ÉtH‹
H‰$Hƒè
H…ÀH‰
u
H‹AH‰ÏÿP0HƒÄXH‰Ø[]A\A]A^A_À‹}ë3D¶øI‹HPÿH…ÒI‰„©E…ÿ„³Æx‹EHƒÃ
x
‰}HcÿèhÃÿÿH…ÀI‰Ç„Ç1ÒL‰æH‰ÇèŸÀÿÿH…ÀI‰Æ„•Iƒ/
tML;5^µ ”ÀL;5̴ ”ÂÂu…M9ît€L‰÷èxÂÿÿ…ÀA‰Ç‰qÿÿÿH‹D$0»­½-E1ÿH‰D$éBþÿÿI‹GL‰ÿÿP0ë§@I‹FL‰÷ÿP0E…ÿ…MÿÿÿH‹$‹A 
EH‹q8H…ö„
H‹$H‹L$(H‰ÚI‰èHx0è~ûÿÿH…ÀH‰Ã„äH‹D$8H‹L$ M‰âH‹|$L‹d$L‹$H9HÅûÿÿH‹D$8I‰ÿM‰æH‹HQÿH‰$H…ÒH‰„iH‹D$0M‰ÔH‰|$L‰t$L‰$H‰D$éÐýÿÿI‹GL‰ÿÿP0é·üÿÿI‹FL‰÷ÿP0éküÿÿH‹GL‰T$L‰$ÿP0L‹T$L‹$égûÿÿI‹D$L‰T$L‰çL‰$ÿP0L‹T$L‹$é˜ûÿÿI‹AL‰T$L‰ÏÿP0L‹T$éÍûÿÿI‹BL‰×ÿP0éÍûÿÿHcyè™ÁÿÿH…ÀH‰D$„¾H‹L$0H…ÉtH‹
H‰D$HHƒè
H…ÀH‰
„a
H‹D$(H)ØHƒøŽç¿
èMÁÿÿH…ÀI‰Æ„bH‹|$ºH‰Æè¾ÿÿH…ÀI‰Ç„¡Iƒ.
„
L;=:³ ”ÀL;=¨² ”ÂÂt.D¶ðI‹HPÿH…ÒI‰tFE…ötPÆbH‹D$HƒÃ
H‰D$0éAþÿÿM9ïtÍL‰ÿè&Àÿÿ…ÀA‰Æy»½:E1öéþûÿÿDI‹WL‰ÿÿR0E…öu°¿èÀÿÿH…ÀI‰Ç„
H‹|$ºH‰Æè}ÿÿH…ÀI‰Æ„
Iƒ/
„°L;5|² ”ÀL;5ê± ”„Æ
D¶øI‹HPÿH…ÒI‰„à
E…ÿ„ê
ÆBé1ÿÿÿI‹FL‰÷ÿP0éïþÿÿH‹AH‰ÏÿP0éþÿÿH‹AH‰ÏÿP0éÑûÿÿH‹AH‰ÏÿP0éãûÿÿI‹D$L‰çÿP0éãûÿÿH‹AH‰ÏÿP0éûÿÿI‹FL‰÷ÿP0é7ûÿÿH‹|$8H‹GÿP0éûÿÿI‹GL‰ÿÿP0éûÿÿH‹dê L‹-½ç H‹CH‹¨€H…í„L‹=J± I‹‹BƒÀ
‰BH‹?± ;1ÒL‰îH‰ßÿÕI‹ƒj
H…À„,H‰ÃH‰ßèbõÿÿHƒ+
tH‹D$0»m½E1öE1ÿH‰D$éNúÿÿH‹CH‰ßÿP0ëÕH‹CH‰ßÿP0éúÿÿH‹PL‰T$H‰ÇL‰$ÿR0L‹T$H‹D$0L‰|$L‰t$H‰D$M‰ÔéSúÿÿH‹D$0»«½-H‰D$éæùÿÿH‹D$0»©½-E1öH‰D$éÊùÿÿM9î„1þÿÿL‰÷èȽÿÿ…ÀA‰Ç‰"þÿÿ»#½;E1ÿéœùÿÿI‹VL‰÷ÿR0E…ÿ…þÿÿ¿è+¾ÿÿH…ÀI‰Æ„DH‹|$ºH‰Æè]»ÿÿH…ÀI‰Ç„Iƒ.
u
I‹FL‰÷ÿP0L;=° ”ÀL;=€¯ ”ÂÂt=D¶ðI‹HPÿH…ÒI‰u
I‹WL‰ÿÿR0E…ö„ËÆhéÅüÿÿI‹GL‰ÿÿP0éAýÿÿM9ït¾L‰ÿ@èë¼ÿÿ…ÀA‰Æy¯»5½<E1öéÃøÿÿfH‹Iè L‹-’å H‹CH‹¨€H…í„JL‹=/¯ I‹‹BƒÀ
‰BH‹$¯ ;1ÒL‰îH‰ßÿÕI‹ƒj
H…À„ÃH‰ÃH‰ßèGóÿÿHƒ+
„»½7E1öE1ÿé9øÿÿ¿è޼ÿÿH…ÀI‰Ç„RH‹|$ºH‰ÆèºÿÿH…ÀI‰Æ„7Iƒ/
„L;5ˮ ”ÂL;59® ¶Â@”Æ@Ö„ÏA‰ÇI‹HPÿH…ÒI‰„ªE…ÿ„[ÆHé|ûÿÿH‹D$0»X½E1ÿH‰D$é—÷ÿÿH‹$H‹5Ëç L‰T$HL‰L$HxèÃÀÿÿ…ÀL‹L$L‹T$H…#öÿÿH‹D$0M‰æL‹<$M‰ÔL‰$»K½H‰D$é@÷ÿÿK
H…Òˆ
HjvH
uHƒú
H5§ŠL‰T$ L‰$HEÈH‹ƒ­ H‹81Àè	¼ÿÿH‹D$0L‹T$ »;½E1öE1ÿH‰D$M‰ÔéÓöÿÿH‹S­ H5ü‰L‰L$ L‰$»I½E1öE1ÿH‹8èã¸ÿÿL‹$H‹D$0L‹L$ H‰D$M‰ÔL‰$é…öÿÿL9l$„çôÿÿH‹HH‹ö¬ HuH5
uL‰L$ L‰$M‰æ»&½H‹81ÀèP»ÿÿL‹$H‹D$0L‹L$ L‹|$L‰t$E1öH‰D$M‰ÔL‰$éöÿÿH‹D$0M‰ÔL‰$»;½E1öE1ÿH‰D$éïõÿÿH‹g¬ H5@‰ºL‰T$ L‰$H‹81ÀèغÿÿéÊþÿÿè^¹ÿÿH…ÀuH‹ú« H5ƒ‰H‹8èã·ÿÿH‹D$0»š½#E1öE1ÿH‰D$é…õÿÿH=5‰èȸÿÿ…À„ÙúÿÿH‹D$0»i½E1öE1ÿH‰D$éRõÿÿèì¸ÿÿH…Àu×H‹ˆ« H5‰H‹8èq·ÿÿ뿻
½:E1ÿéõÿÿH‹D$0E1ö»é½5E1ÿH‰D$éÿôÿÿH‹D$0»i½QE1öE1ÿH‰D$éàôÿÿH=ˆè#¸ÿÿ…À„ƒôÿÿé#ÿÿÿ»½;E1öéµôÿÿ»!½;é¦ôÿÿ1ÒH‰ßL‰îèx¹ÿÿH…ÀH‰Ã„ÿÿÿé
úÿÿ1ÒH‰ßL‰îèZ¹ÿÿH…ÀH‰Ã„Ëþÿÿé>ôÿÿ©
L‰ÿ„¯è¸ÿÿHcÐA‰ÆH9ЄóÿÿH‹øª H59H‹8èq¶ÿÿè̷ÿÿH…Àu9A¾ÿÿÿÿé`óÿÿH‹D$0M‰æE1ÿL‰t$M‰ÔL‰$»$½E1öH‰D$éïóÿÿH‹D$0»]½E1öH‰D$éÓóÿÿ»½:éÄóÿÿH‹Dª H5톽E1ä»H‹8èàµÿÿHÇD$HÇD$HÇ$HÇD$é´óÿÿH‹D$0»Z½H‰D$é`óÿÿ¿è¸ÿÿH…ÀI‰Æ„‹
H‹|$ºH‰Æè7µÿÿH…ÀI‰Ç„Œ
Iƒ.
u
I‹FL‰÷ÿP0L‰ÿèÊÿÿ…ÀA‰Æx*I‹HPÿH…ÒI‰u
I‹WL‰ÿÿR0E…ö„Z
Æié¬öÿÿ»Y½>E1öéÑòÿÿ»C½=E1öé¿òÿÿH‹CH‰߽7»E1öE1ÿÿP0é òÿÿè:¶ÿÿH…ÀuH‹֨ H5_†H‹8迴ÿÿ»ÿ½7E1öE1ÿékòÿÿH=†讵ÿÿ…À„ÚùÿÿëÕ1ÒH‰ßL‰îè'·ÿÿH…ÀH‰ÃtÀéÛùÿÿ»3½<é,òÿÿ»1½<E1ÿéòÿÿI‹VL‰÷ÿR0éGúÿÿM9î„(úÿÿL‰÷è	¶ÿÿ…ÀA‰Ç‰úÿÿ»G½=E1ÿéÝñÿÿI‹GL‰ÿÿP0éÓùÿÿ»E½=é¿ñÿÿ»U½>E1ÿé­ñÿÿèXºÿÿA‰ÆéÙðÿÿ»W½>é‘ñÿÿ¿è6¶ÿÿH…ÀI‰Ç„c	H‹|$ºH‰Æèh³ÿÿH…ÀI‰Æ„6	Iƒ/
u
I‹GL‰ÿÿP0L‰÷èDÈÿÿ…ÀA‰Çx&I‹HPÿH…ÒI‰u
I‹VL‰÷ÿR0E…ÿtÆIéáôÿÿ»k½?E1ÿéñÿÿ¿諵ÿÿH…ÀI‰Æ„·H‹|$ºH‰ÆèݲÿÿH…ÀI‰Ç„ŠIƒ.
u
I‹FL‰÷ÿP0L‰ÿè¹Çÿÿ…ÀA‰Æx&I‹HPÿH…ÒI‰u
I‹WL‰ÿÿR0E…ötÆléVôÿÿ»}½@E1öé{ðÿÿ¿è µÿÿH…ÀI‰Ç„H‹|$ºH‰ÆèR²ÿÿH…ÀI‰Æ„ÞIƒ/
u
I‹GL‰ÿÿP0L‰÷è.Çÿÿ…ÀA‰Çx&I‹HPÿH…ÒI‰u
I‹VL‰÷ÿR0E…ÿtÆLéËóÿÿ»½AE1ÿéðïÿÿ¿	蕴ÿÿH…ÀI‰Æ„_H‹|$ºH‰ÆèDZÿÿH…ÀI‰Ç„2Iƒ.
u
I‹FL‰÷ÿP0L‰ÿè£Æÿÿ…ÀA‰Æx&I‹HPÿH…ÒI‰u
I‹WL‰ÿÿR0E…ötÆqé@óÿÿ»¡½BE1öéeïÿÿ¿
è
´ÿÿH…ÀI‰Ç„³H‹|$ºH‰Æè<±ÿÿH…ÀI‰Æ„†Iƒ/
u
I‹GL‰ÿÿP0L‰÷èÆÿÿ…ÀA‰Çx&I‹HPÿH…ÒI‰u
I‹VL‰÷ÿR0E…ÿtÆQéµòÿÿ»³½CE1ÿéÚîÿÿ¿è³ÿÿH…ÀI‰Æ„H‹|$ºH‰Æ豰ÿÿH…ÀI‰Ç„ÚIƒ.
u
I‹FL‰÷ÿP0L‰ÿèÅÿÿ…ÀA‰Æx&I‹HPÿH…ÒI‰u
I‹WL‰ÿÿR0E…ötÆfé*òÿÿ»Å½DE1öéOîÿÿ¿èô²ÿÿH…ÀI‰Ç„[H‹|$ºH‰Æè&°ÿÿH…ÀI‰Æ„.Iƒ/
u
I‹GL‰ÿÿP0L‰÷èÅÿÿ…ÀA‰Çx&I‹HPÿH…ÒI‰u
I‹VL‰÷ÿR0E…ÿtÆdéŸñÿÿ»×½EE1ÿéÄíÿÿ¿
èi²ÿÿH…ÀI‰Æ„¯H‹|$ºH‰Æ蛯ÿÿH…ÀI‰Ç„‚Iƒ.
u
I‹FL‰÷ÿP0L‰ÿèwÄÿÿ…ÀA‰Æx&I‹HPÿH…ÒI‰u
I‹WL‰ÿÿR0E…ötÆgéñÿÿ»é½FE1öé9íÿÿ¿èޱÿÿH…ÀI‰Ç„H‹|$ºH‰Æè¯ÿÿH…ÀI‰Æ„ÖIƒ/
u
I‹GL‰ÿÿP0L‰÷èìÃÿÿ…ÀA‰Çx.I‹HPÿH…ÒI‰u
I‹VL‰÷ÿR0E…ÿt"ÆZÆC
fHƒÃ
éðÿÿ»û½GE1ÿé¦ìÿÿ¿èK±ÿÿH…ÀI‰Æ„OH‹|$ºH‰Æè}®ÿÿH…ÀI‰Ç„"Iƒ.
u
I‹FL‰÷ÿP0L‰ÿèYÃÿÿ…ÀA‰Æx.I‹HPÿH…ÒI‰u
I‹WL‰ÿÿR0E…öt"ÆZÆC
dHƒÃ
éîïÿÿ»½HE1öéìÿÿ¿踰ÿÿH…ÀI‰Ç„›H‹|$ºH‰Æèê­ÿÿH…ÀI‰Æ„nIƒ/
u
I‹GL‰ÿÿP0L‰÷èÆÂÿÿ…ÀA‰Çx.I‹HPÿH…ÒI‰u
I‹VL‰÷ÿR0E…ÿt"ÆZÆC
gHƒÃ
é[ïÿÿ»#½IE1ÿé€ëÿÿ¿è%°ÿÿH…ÀI‰Æ„ç
H‹|$ºH‰ÆèW­ÿÿH…ÀI‰Ç„º
Iƒ.
u
I‹FL‰÷ÿP0L‰ÿè3Âÿÿ…ÀA‰Æx&I‹HPÿH…ÒI‰u
I‹WL‰ÿÿR0E…ötÆOéÐîÿÿ»7½JE1öéõêÿÿH‹t$H‹=PØ 裰ÿÿH…ÀI‰Ç„4
¿
èM®ÿÿH…ÀI‰Æ„
H‹RÚ L‰xH‹CH‹¨€H…í„ÕL‹=3¡ I‹‹BƒÀ
‰BH‹(¡ ;1ÒL‰öH‰ßÿÕI‹ƒj
H…Àt6H‰ÃIƒ.
u
I‹FL‰÷ÿP0H‰ßè?åÿÿHƒ+
tG»R½LE1öE1ÿé5êÿÿèϭÿÿH…ÀuH‹k  H5ô}H‹8èT¬ÿÿ»M½LE1ÿéêÿÿH‹CH‰߽L»RE1öE1ÿÿP0éäéÿÿH=”}è'­ÿÿ…À„Oÿÿÿë¹1ÒH‰ßL‰ö蠮ÿÿH…ÀH‰Ã…Mÿÿÿ랻H½Lé¤éÿÿ»F½LE1öé’éÿÿ»5½Jéƒéÿÿ»3½JE1ÿéqéÿÿ»!½Iébéÿÿ»½IE1öéPéÿÿ»
½HéAéÿÿ»½HE1ÿé/éÿÿ»ù½Gé éÿÿ»÷½GE1öééÿÿ»ç½Féÿèÿÿ»å½FE1ÿéíèÿÿ»Õ½EéÞèÿÿ»Ó½EE1öéÌèÿÿ»Ã½Dé½èÿÿ»Á½DE1ÿé«èÿÿ»±½Céœèÿÿ»¯½CE1öéŠèÿÿ»Ÿ½Bé{èÿÿ»½BE1ÿéièÿÿ»½AéZèÿÿ»‹½AE1öéHèÿÿ»{½@é9èÿÿ»y½@E1ÿé'èÿÿ»i½?éèÿÿ»g½?E1öéèÿÿDAWAVAUATUH‰ýSH‰óHƒì(H‹H‹‡ H…Àt
ö‡ª …OH‹5ð× H9÷t
辬ÿÿ…À„%H…Û„L‹-kž L‰kIƒE
öE@
‹E„
H‹U‰C$H‰H‹E(H‰C8H‹E HÇC@H‰C0H‹E8Hc@ H‰C1ÀöEA”	C L‹e8Iƒ$
Iƒ|$8…î
H‹SIƒE
Hƒ*
„{L‰kA€|$>A‹D$…6H‹-§Ö H‹5Ô H‹EL‹°€M…ö„íL‹-… I‹U‹BƒÀ
‰BH‹y ;1ÒH‰ïAÿÖI‹Uƒj
H…À„ÖH‰ÅH‰ïèáÿÿH‹E¾Cº

Hď
H…ÀH‰E…ŸH‹E‰T$H‰ï‰4$ÿP0‹4$‹T$邐H‹-
Ö H‹5jÓ H‹EL‹ €M…ä„NL‹-ߜ I‹U‹BƒÀ
‰BH‹Ӝ ;
1ÒH‰ïAÿÔI‹Uƒj
H…À„ØH‰ÅH‰ïè÷àÿÿHƒm
„L
¾
º×E1äH
¤dH=Âdèü¿ÿÿH‹CH…ÀtH‹HQÿH…ÒH‰„
HÇCM…ä»ÿÿÿÿtI‹$HPÿH…ÒI‰$uI‹D$L‰çÿP0‰ØHƒÄ([]A\A]A^A_ÐHƒx „¦ýÿÿH‰ïº<訩ÿÿHƒÄ([]A\A]A^A_Ãf„HƒE
H‹SHƒ*
„}¿ÿH‰kè©ÿÿH‰C(Æ^I|$0H‹S(I‹t$8LD$ÇD$HŠÿHƒÂ
èâÿÿH…À„«ÆL9kt[1Ûé6ÿÿÿ@ƒø‡
H¤m‰ÁHcŠH
ÊÿâDH‹{H‹GÿP0éðþÿÿH‹EH‰ïE1äÿP0¾
º×é¥þÿÿ@Iƒm
„å
HÇC1ÛéÈþÿÿH­ €H‰C(énÿÿÿHɬ ëîHƬ ëåHº¬ ëÜHɬ ëÓHĬ ëÊH¹¬ ëÁH¸¬ ë¸H›¬ ë¯Hª¬ ë¦H¬ ëHš¬ ë”H}¬ ë‹HŠ¬ ë‚Hm¬ évÿÿÿHy¬ éjÿÿÿH_¬ é^ÿÿÿHcøèn¨ÿÿH…ÀH‰Å„ð
H‹=Ñ H‰Æèc©ÿÿH…ÀI‰Å„¯
Hƒm
„4
¿
è§ÿÿH…ÀH‰Å„>L‹5Ó L‰hI‹FL‹¸€M…ÿ„ü
L‹-è™ I‹U‹BƒÀ
‰BH‹ܙ ;Ã
1ÒH‰îL‰÷Aÿ×I‹Uƒj
H…À„€
I‰ÅHƒm
„£L‰ïèòÝÿÿI‹E¾!º
Hď
H…ÀI‰E…ôüÿÿI‹E‰T$L‰ï‰4$ÿP0‹4$‹T$é×üÿÿfDH‹{H‹GÿP0ésýÿÿH‹{H‹GÿP0éuûÿÿI‹EL‰ïÿP0éþÿÿH‹EH5ŽvH‹PH‹™ H‹81À聧ÿÿ¸ÿÿÿÿé×üÿÿH‹EH‰ïÿP0éNÿÿÿH‹EH‰ïÿP0é½þÿÿ¾\º
éKüÿÿèեÿÿH…Àt}¾	º×E1äé/üÿÿH=ÏuH‰4$è^¥ÿÿ…ÀH‹4$„×ûÿÿëÐ1ÒH‰ïè֦ÿÿH…ÀH‰Å…Ûûÿÿ븾Hƒm
uH‹E‰4$H‰ïÿP0‹4$º
éÓûÿÿ¾º
éÄûÿÿH‹ô— H5}uH‹8èݣÿÿéhÿÿÿè3¥ÿÿH…ÀuH‹ϗ H5XuH‹8踣ÿÿ¾ëŽH="u赤ÿÿ…À„)þÿÿëã1ÒH‰îL‰÷è.¦ÿÿH…ÀI‰ž„Zÿÿÿé#þÿÿIƒm
t¾é[ÿÿÿ€I‹EL‰ïÿP0¾º
éûÿÿ1ÒH‰ïèݥÿÿH…ÀH‰Å…<úÿÿ¾?º

éóúÿÿè}¤ÿÿH…ÀuçH‹— H5¢tH‹8è£ÿÿëÏH=qtH‰4$è¤ÿÿ…ÀH‹4$„Óùÿÿë±fAWAVI‰öAUI‰ÍATUSHìxH;=J— H‰¼$ÈòD$‰T$òL$pD‰„$üD‰Œ$¼ò”$ D‹¤$Èòœ$HDŽ$
òd$`HDŽ$ 
òl$hHDŽ$(
ò´$¨HDŽ$˜
ò¼$°HDŽ$
HDŽ$HDŽ$„BH…ÿ„9H‹¼$ÈH´$èª÷ÿÿƒøÿ„‹Œ$,ƒù
…éHœ$@
H´$0
H‰ßèùÇÿÿH‹´$0H‰ßèùÓÿÿH…À„ÕH‹”$ L‹
¡Ê ‰ÐL9È…¯Hƒ¼$H„9I‹E0¿
H‰D$(H‹„$ÈH‹@ H‹H‰„$è荢ÿÿH…ÀH‰D$0„¸#H‹„$ÈH‹t$0H‹-Ï Hƒ
H‰FH‹EH‹˜€H…Û„E#H‹
`• H‹‹BƒÀ
‰BH‹U• ;.&H‰L$1ÒH‹t$0H‰ïÿÓH‹L$I‰ÇH‹
ƒh
M…ÿ„­%H‹t$0H‹H‰D$Hƒè
H…ÀH‰„XI‹~H‹54Î HDŽ$
HDŽ$
HDŽ$
DŽ$¸
H9÷tè#£ÿÿ…À•À¶	„$¸HmÎ HDŽ$˜
HDŽ$ 
H‰„$Ð
H‰„$È
Hž¦ H‰„$Ø
H‹—” Hƒ
‹D$ƒø
„oƒø„fH‹v” HDŽ$ØH‰„$À‹D$ƒø
„ñƒø„ìH‹õÊ H‹=¶Î H‰Þ螠ÿÿH…ÀH‰Å„xHƒ
H‹EH‹5ƒÎ H‹˜€H…Û„A!H‹
ԓ H‹‹BƒÀ
‰BH‹ɓ ;õ H‰L$1ÒH‰ïÿÓH‹L$H‰ÆH‰„$ÐH‹
ƒh
H…ö„v Hƒm
„ê襡ÿÿD‹Œ$üH‰„$àE…É„`H‹„$èò´$¨HDŽ$˜ÇD$|òt$HÇD$ DŽ$øƒè
HÅH‰„$ðD‹„$°E…ÀŽ€èäžÿÿ‰Ë„$øx
è¡ÿÿH…ÀH‰Å„>!H‹=ÀË H‰Æèx¡ÿÿH…ÀH‰D$8„!Hƒm
„ H‹l$8H‰ïèBÅÿÿ…Àˆ|H‹EH‰D$0Hƒè
H…ÀH‰E„z‰ßè	ÿÿ‹¼$¸…ÿ…4
Hƒ|$(Ž¿H„$0
H¬$@
1ÛH‰D$HH„$
H‰l$PH‹¬$ØH‰D$@H„$
H‰D$8H„$
H‰D$0I‹EL‹L$PL‰ïL‹D$@H‹L$HH‹T$8H‹t$0ÿI‹G‹Œ$0
L‰ÿH‹”$
H‹´$
ÿPòd$AƒüòXà„
Aƒüu6òŒ$°ò„$Ðòd$XèƝÿÿò”$¨òd$Xò^ÐòT$‹´$°…ö~.I‹Ff(Äòd$XL‰÷òŒ$
ÿòXD$ òd$XòD$ fWíAƒüòŒ$
òD$`òÂé
ò|$hfTÅfUïfV脈	Aƒü….	‹”$0
H‹Œ$
fWۅÒ~$fWÛ1Àf„òÁHƒÀ
9ÂòYÀòXØëI‹Fò¬$ˆL‰÷òœ$€f(Äòd$Xÿf(Èòâxòœ$€ò^„$ òd$Xò¬$ˆòXÃò^ȋŒ$¸…É„|	òYŒ$
òY¬$@
ƒ|$
òkxòYé~Mf(Ãf(óI‹Gò¬$€L‰ÿò\„$ò\$XòYD$òYD$pò\ðf(ÆÿPò¬$€ò\$XfWöf.îŠR	…L	‹D$ƒø
„·	ƒø„®	òXœ$ЃD$|
òœ$ЃÃ
‰ØH9D$(ýÿÿ‹”$°…ÒŽ»è{›ÿÿ‰D$@I‹GL‰ÿÿP èè›ÿÿH…ÀH‰D$8„ÿH‹¼$ÈH‹5Ç H‹WH‹‚H…À„*ÿÐH‰ÅH…í„õH‹EH‹5ÎÉ H‹˜€H…Û„=H‹
 H‹‹BƒÀ
‰BH‹ ;æH‰L$01ÒH‰ïÿÓH‹L$0H‰ÃH‹
ƒh
H…Û„åHƒm
„™H‹CH;J „£H;Ž „LH‹@hH…À„ŸH‹@H…À„’1öH‰ßÿÐH‰ÅH…턤 Hƒ+
„5H‹UH‹5Å H‹‚H…À„m H‰ïÿÐH‰ÃH…Û„7 Hƒm
„Ð
H‹CH;¾Ž „Ú
H;
Ž „°H‹@hH…À„ñH‹@H…À„ä1öH‰ßÿÐH‰ÅH…턬Hƒ+
„l
òD$èQšÿÿH…ÀH‰Ã„f‹L$|H‰ÏH‰L$Hèä›ÿÿH…ÀH‰D$0„"H‹L$HòT$ òH*Áò^Ðf(Âè	šÿÿH…ÀI‰Â„ž¿H‰D$HènšÿÿH…ÀI‰ÃL‹T$H„„ H‹t$8H‰h H‰X(H‹=!Æ H‰pH‹D$0L‰ÞM‰S8L‰\$0I‰C0èë›ÿÿH…ÀI‰ÂL‹\$0„# Iƒ+
„…
L‰×L‰T$0賿ÿÿ…ÀL‹T$0ˆwIƒ*
„R
H‹Ýà H‹=žÇ H‰Þ膙ÿÿH…ÀI‰Â„‡
Hƒ
I‹BH‹5kÇ H‹˜€H…Û„cH‹
¼Œ H‹‹BƒÀ
‰BH‹±Œ ;^H‰L$81ÒL‰×L‰T$0ÿÓH‹L$8I‰ÃL‹T$0H‹
ƒh
M…Û„ØIƒ*
„ž	H‹´$ÐL‰ßL‰\$0è<›ÿÿH…ÀI‰ÂL‹\$0„Iƒ+
„U	H‹=âÄ L‰ÖL‰T$0è͚ÿÿH…ÀI‰ÃL‹T$0„cIƒ*
„
	L‰ßL‰\$0蕾ÿÿ…ÀL‹\$0ˆIƒ+
„\	‹|$@èe–ÿÿòD$躖ÿÿ…ÀtRH‹„$ÈH‹h‹„$è…ÀŽ“D‰¤$È1ÛI‰ìH‹¬$ðë@HƒÃH9ë„còAèh–ÿÿ…ÀuäH‹¼$àè–ÿÿ‹„$øx
èx™ÿÿH…ÀI‰Ã„ÃH‹=-Ä L‰ÞL‰\$èè™ÿÿH…ÀI‰ÂL‹\$„`Iƒ+
„ý¿
L‰T$èþ—ÿÿH…ÀI‰ÃL‹T$„ÂH‹þà L‰PH‹CH‹¨€H…í„fH‹
ߊ H‹‹BƒÀ
‰BH‹Ԋ ;1ÒH‰L$L‰ÞL‰\$H‰ßÿÕH‹L$L‹\$H‹ƒj
H…À„—H‰ÃIƒ+
„qH‰ßH‰L$èÔÎÿÿHƒ+
H‹L$„,A¸Òº
E1Û1íE1Ò1ÛE1ÉH…Ût
Hƒ+
„òM…Ét
Iƒ)
„,M…Òt
Iƒ*
„\H…ítHƒm
„dM…Ût
Iƒ+
„ŠHƒ¼$˜
H‹
L‹`HH‹hPH‹XXHÇ@HHÇ@PHÇ@XtwHø› H9„$Ø
„L‹¬$ 
M…ítUI‹}H‹‡ H…À„N
ö‡ª „A
Hƒx „6
H¼$˜
H‰L$‰T$D‰D$èF”ÿÿD‹D$‹T$H‹L$Hƒ¼$twHv› H9„$H„ˆL‹¬$M…ítUI‹}H‹‡ H…À„C
ö‡ª „6
Hƒx „+
H¼$H‰L$‰T$D‰D$èēÿÿD‹D$‹T$H‹L$H‹
H‹xHL‹pPL‹hXL‰`HH‰hPH‰XXH…ÿt
Hƒ/
„Á
M…öt
Iƒ.
„Ð
M…ít#Iƒm
uI‹E‰T$L‰ïD‰D$ÿP0‹T$D‹D$H
PH=ŸfD‰Æèï«ÿÿE1ÛM…ÿt
Iƒ/
„¥H‹´$ÀH…ötH‹H‰D$Hƒè
H…ÀH‰„§H‹´$ÐH…öt(H‹H‰D$Hƒè
H…ÀH‰uH‹FL‰\$H‰÷ÿP0L‹\$HÄxL‰Ø[]A\A]A^A_ÃfDI‹Fò¬$€L‰÷f(Äòd$XÿPòL$Aƒüòd$XfW
pò¬$€òYÈŽ7÷ÿÿé÷ÿÿ‹”$0
H‹Œ$
…ÒŽÂ÷ÿÿfWÛ1ÀòÁHƒÀ
9ÂòYÀòXØëfWÿf.ßz„”÷ÿÿI‹Fò¬$ˆL‰÷òœ$€f(Äòd$Xÿòœ$€f(ȋŒ$¸òd$Xò^˅Éò¬$ˆò]Œ$ …„öÿÿò„$
fWöò\Äf.ð†röÿÿfW
#oéeöÿÿfDòD$pò=ÒnòY„$Ðò^øò|$éõÿÿfI‹Gòœ$€‹Œ$0
f(Åòl$XH‹”$
L‰ÿH‹´$
ÿƒ¼$¼
òl$Xòœ$€…döÿÿòY¬$Ø‹D$ƒø
òXl$òl$…OöÿÿfDòD$‹´$0
H‹¼$
òY„$M‹G …öòAW(òYD$pòX„$˜ò„$˜Ž
öÿÿ1ÀfWäf(èë@@òf(ñòXÅò^Âò\ðf(Æò_Äò
ò\ÁHƒÀ
9ÆòYÂòXòŽ¾õÿÿHc‡f(ÂfWÿHÁâIH
êò	òYÁf.ÇwŸf.àw	f(Áë³f(Åò\ò^ÂòXÁò]Äò
ë–I‹E‹´$ÀL‰ïÿPé¶òÿÿD‹¤$ȃ„$ø
‹„$ü9„$ø…òñÿÿH‹¼$à蟏ÿÿI‹GL‰ÿÿPòD$èJ‘ÿÿH…ÀI‰Â„?¿L‰T$译ÿÿH…ÀI‰ÃL‹T$„=H‹„$ÈHƒ
Hƒ¼$˜
I‰CM‰S teH¸– H9„$Ø
„œ
H‹œ$ 
H…ÛtCH‹{H‹‡ H…À„Cö‡ª „6Hƒx „+H¼$˜
L‰\$èÿÿL‹\$Hƒ¼$„ÄûÿÿHD– H9„$H„½H‹œ$H…Û„žûÿÿH‹{H‹‡ H…À„@ö‡ª „3Hƒx „(H¼$L‰\$藎ÿÿIƒ/
L‹\$…[ûÿÿI‹GL‰\$L‰ÿÿP0L‹\$éBûÿÿH‹EH‰ïÿP0éÑðÿÿH‹CH‰ßÿP0é…õÿÿH‹EH‰ïÿP0H‹CH;äƒ …&õÿÿH‹CL‹Iƒ

L‰ÍéMõÿÿH‹CH‰ßÿP0é¼ôÿÿH‹EH‰ïÿP0H‹CH;§ƒ …]ôÿÿH‹CL‹Iƒ

L‰Íé„ôÿÿH‹|$8H‹GÿP0éuðÿÿH‰D$0I‹BL‰×ÿP0L‹\$0éÚöÿÿH‰D$0I‹CL‰ßÿP0L‹T$0é’öÿÿI‹BL‰\$0L‰×ÿP0L‹\$0éIöÿÿI‹BL‰×ÿP0éŸõÿÿH‰D$0I‹CL‰ßÿP0L‹T$0ébõÿÿI‹CL‰ßÿP0é•öÿÿL‹KIƒ

L‰ÍémôÿÿL‹KIƒ

L‰ÍéÑóÿÿH‰ßè+ÆÿÿH…ÀI‰Â…iõÿÿA¸:º
é«€fWöò´$éîÿÿH‹5§» H9÷t>L‰\$èpÿÿ…ÀL‹\$u+Hƒ+
uH‹CL‰\$H‰ßÿP0L‹\$HDŽ$ 
é¢ýÿÿH‹C8Hƒx8„“ýÿÿH‹¼$À
L‰\$èŒÿÿL‹\$éwýÿÿH‹52» H9÷t>L‰\$èûÿÿ…ÀL‹\$u+Hƒ+
uH‹CL‰\$H‰ßÿP0L‹\$HDŽ$éùÿÿH‹C8Hƒx8„ñøÿÿH‹¼$0L‰\$薋ÿÿL‹\$éÕøÿÿò5Liò´$éíÿÿHߺ HDŽ$H‰„$@H‰„$8H“ H‰„$HéëÿÿH‹-ˆ¸ H‹=» H‰îèiÿÿH…ÀH‰Ã„å
Hƒ
H‹SH‹5.· H‹‚H…À„H‰ßÿÐH‰D$0Hƒ|$0„Hƒ+
u
H‹CH‰ßÿP0H‹¼$èè;ŒÿÿH…ÀH‰Ã„¿
èEÿÿH…ÀI‰Á„(H‰X¿
H‰D$è&ÿÿH…ÀH‰ÃL‹L$„TL‰H輍ÿÿH…ÀI‰Á„JH‹-¹· H‹=²º H‰D$H‰î蕌ÿÿH…ÀI‰ÂL‹L$„Ä	Hƒ
I‹RH‹5
¸ H‹‚H…À„
L‰L$ L‰×L‰T$ÿÐL‹T$L‹L$ H‰„$ÀHƒ¼$À„ïIƒ*
uI‹BL‰L$L‰×ÿP0L‹L$H‹¬$ÀH‹5ä· L‰ÏL‰L$H‰ê蜍ÿÿ…ÀL‹L$ˆÇH‹EH‰D$Hƒè
H…ÀH‰EuH‹¼$ÀL‰L$H‹GÿP0L‹L$H‹±· H‹5²¶ L‰ÏL‰L$èEÿÿ…ÀL‹L$ˆ+H‹D$0H‹@H‹¨€H…í„;H‹
à~ H‹‹BƒÀ
‰BH‹Õ~ ; 
H‰L$ L‰ÊL‰L$H‰ÞH‹|$0ÿÕH‹L$ H‰ÆH‰„$ÀL‹L$H‹
ƒh
H…ö„²
H‹t$0H‹H‰D$Hƒè
H…ÀH‰uH‹FL‰L$H‰÷ÿP0L‹L$Hƒ+
uH‹CL‰L$H‰ßÿP0L‹L$Iƒ)
u
I‹AL‰ÏÿP0H‹„$ÀH;S~ …Ó
Hƒ¼$˜
trH3 H9„$Ø
„½H‹œ$ 
H…ÛtPH‹{H‹‡ H…Àt
ö‡ª …c
H‹5\· H9÷„Qè&Œÿÿ…À…DHƒ+
„/	HDŽ$ 
H‹„$ÀH;Á} HDŽ$˜
„ÖH‹¼$ÀH´$˜
èÒÞÿÿƒøÿ„ì‹Œ$¼
ƒù
…¿Hœ$@
H´$0
H‰ßè!¯ÿÿH‹´$À
H‰ßè!»ÿÿH…À„«H‹”$°
L‹
ɱ ‰ÐL9È…˜Hƒ¼$Ø
„™	H‹ } H‹5} H‹H‰D$Hƒè
H…ÀH‰uH‹þ| H‹=÷| H‹@ÿP0H‹„$ÀH‹@H‰„$ØéuèÿÿH‹FH‰÷ÿP0é™çÿÿH‹EH‰ïÿP0ééÿÿH‹FL‰\$H‰÷ÿP0L‹\$é@ôÿÿHƒx „’þÿÿH¼$˜
è0‡ÿÿé³þÿÿH‹5ܵ H9÷„
H‰L$‰T$D‰D$蘊ÿÿ…ÀD‹D$‹T$H‹L$…êIƒm
u&I‹EH‰L$L‰ï‰T$D‰D$ÿP0H‹L$‹T$D‹D$HDŽ$ 
é|òÿÿH‹5eµ H9÷tcH‰L$‰T$D‰D$è%Šÿÿ…ÀD‹D$‹T$H‹L$u>Iƒm
u&I‹EH‰L$L‰ï‰T$D‰D$ÿP0H‹L$‹T$D‹D$HDŽ$éòÿÿI‹E8Hƒx8„€òÿÿH‹¼$0H‰L$‰T$D‰D$蛅ÿÿD‹D$‹T$H‹L$éRòÿÿI‹E8Hƒx8„ÁñÿÿH‹¼$À
H‰L$‰T$D‰D$è^…ÿÿD‹D$‹T$H‹L$é“ñÿÿH‹G‰T$D‰D$ÿP0‹T$D‹D$é!òÿÿI‹F‰T$L‰÷D‰D$ÿP0‹T$D‹D$éòÿÿH‹EH‰L$ H‰ï‰T$L‰\$D‰D$ÿP0H‹L$ ‹T$L‹\$D‹D$égðÿÿI‹CH‰L$L‰߉T$D‰D$ÿP0H‹L$‹T$D‹D$éKðÿÿH‹CH‰L$0H‰߉T$(L‰T$ L‰L$L‰\$D‰D$ÿP0H‹L$0‹T$(L‹T$ L‹L$L‹\$D‹D$éÅïÿÿI‹AH‰L$(L‰ωT$ L‰T$L‰\$D‰D$ÿP0H‹L$(‹T$ L‹T$L‹\$D‹D$é•ïÿÿI‹BH‰L$ L‰׉T$L‰\$D‰D$ÿP0H‹L$ ‹T$L‹\$D‹D$éoïÿÿA¸0ºü
H‹
…y E1Û1íE1É1ۋ|$@H‰L$0‰T$(L‰T$ L‰L$L‰\$D‰D$è݃ÿÿH‹¼$àèðƒÿÿD‹D$L‹\$L‹L$L‹T$ ‹T$(H‹L$0éÑîÿÿH‹l$8A¸ÿE1ɉßL‰L$D‰D$菃ÿÿH‹¼$à袃ÿÿºÂ
E1ÒE1ÛH‹
èx D‹D$L‹L$é“îÿÿA¸Eº1íE1ÒE1É1ÛH‹
½x é=ÿÿÿHDŽ$HégïÿÿHDŽ$Ø
éÔîÿÿH·Š H‰„$Hé³âÿÿH‰ßèR¼ÿÿH…ÀH‰Å…xäÿÿA¸»º½
E1ÛE1Ò1ÛHDŽ$ÐH‹
Hx éëíÿÿH‹!x H5ÒUº
H‹81À蛆ÿÿHä± HDŽ$HDŽ$A¸aºL
H‰„$@H‰„$8H
Š H‰„$HE1Û1íE1Ò1ÛHDŽ$ÐHDŽ$ÀE1ÿH‹
®w éQíÿÿHj± HDŽ$ 
H‰„$Ð
H‰„$È
H§‰ H‰„$Ø
é{úÿÿH‹C8Hƒx8„ÃùÿÿH‹¼$À
讁ÿÿé±ùÿÿHDŽ$Hé2óÿÿHDŽ$Ø
é2ùÿÿHÑ?H
÷>IƒùL‹¾« H‰ÆHBñHƒúHMÈH‹èv H‰4$H5ÕTH‹81Àèc…ÿÿéÃþÿÿHDŽ$Ø
éSòÿÿA¸IH‹øv H‹
Áv º²
HDŽ$ÀE1ÒH‹¬$ÀHDŽ$ÐH‰„$ÀH‹t$0E1ÛH‹H‰D$Hƒè
H…ÀH‰…ìÿÿH‹FH‰L$8H‰÷‰T$(L‰T$ L‰L$L‰\$D‰D$ÿP0H‹L$8‹T$(L‹T$ L‹L$L‹\$D‹D$éÓëÿÿH‰ïL‰L$èó¹ÿÿH…ÀI‰ÂL‹L$…"öÿÿA¸Bº²
HDŽ$ÀH‹v H‹
åu é3ÿÿÿH‰ï谹ÿÿH…ÀH‰Ã…õÿÿA¸/H‹ïu º²
E1Û1íE1ÒHDŽ$ÐH‹
Ÿu H‰„$Àé:ëÿÿH‹su H5$Sº
H‹81ÀèíƒÿÿH6¯ H”$(
H´$ 
H¼$
HDŽ$˜
HDŽ$ 
H‰„$Ð
H‰„$È
HO‡ H‰„$Ø
è"ƒÿÿHۮ H‹”$(
H‹´$ 
H‹¼$
HDŽ$˜
H‰„$Ð
H‰„$È
H‡ HDŽ$ 
H‰„$Ø
èWÿÿH‹¬$ÀA¸_H‹Út º²
E1ÛE1Ò1ÛHDŽ$ÐH‹
Št H‰„$Àé%êÿÿH‹CH‰ßÿP0éÂöÿÿH=H
6<IƒùL‹ý¨ H‰ÆHBñHƒúHMÈH‹'t H‰4$H5RH‹81À袂ÿÿé°þÿÿH=>QH‰L$ L‰L$èǀÿÿ…ÀL‹L$H‹L$ „8õÿÿA¸Jº²
HDŽ$ÀE1ÒH‹t é*ýÿÿH‰L$L‰L$èЀÿÿH…ÀL‹L$H‹L$u¼H‹bs H5ëPH‹8èKÿÿL‹L$H‹L$ëšA¸æºE1Û1í1ÛH‹
~s é!éÿÿA¸èº1í1ÛH‹
cs ééÿÿH… H‰„$Ø
éSöÿÿH‹„$ÀH‹5ˬ Hxèå…ÿÿ…À…
õÿÿH‹¬$ÀA¸OéfþÿÿH‰L$è€ÿÿH…ÀH‹L$uH‹¬r H55PH‹8è•~ÿÿH‹L$A¸½º½
E1ÛE1Ò1ÛHDŽ$ÐélèÿÿH=ÝOH‰L$ H‰t$èfÿÿ…ÀH‹t$H‹L$ „ãÞÿÿë²1ÒH‰ïè؀ÿÿH…ÀH‰„$Ð…òÞÿÿA¸½º½
E1ÛE1Ò1ÛH‹
er éèÿÿ1ÒL‰×L‰T$0虀ÿÿH…ÀI‰ÃL‹T$0…ÍåÿÿA¸<º
1íE1É1ÛH‹
'r é§øÿÿ1ÒH‰ïè`€ÿÿH…ÀI‰Ç…ðÜÿÿ1ÛA¸„ºš
HDŽ$ÀE1ÒE1É1ÀH‹
äq é2ûÿÿA¸ºš
éõùÿÿA¸½º1í1ÛH‹
¹q é\çÿÿI‰éA¸üH‹l$8é‰øÿÿI‰ÁA¸ú1íéyøÿÿA¸»º1íE1Ò1ÛH‹
xq éçÿÿH‹l$8A¸öºþ
E1ÛE1ÒE1É1ÛH‹
Qq éÑ÷ÿÿI‰éA¸øH‹l$8ºþ
E1ÛE1Ò1ÛH‹
*q éª÷ÿÿH‹B@H…ÀtHƒÆ$H‹¼$Èé¼áÿÿH‰ß荇ÿÿH‰ÅéhâÿÿI‰éH‰L$H‹l$8L‰L$èì}ÿÿH…ÀL‹L$H‹L$u H‹~p H5NH‹8èg|ÿÿL‹L$H‹L$A¸úºþ
E1ÛE1Ò1Ûé"÷ÿÿH‹¼$ÈèHÿÿH‰Åé>áÿÿH‹B@H…ÀtHƒÆ$éÐïÿÿA¸1é¥úÿÿH‰ßèÿÿH‰D$0é½ïÿÿA¸4º²
HDŽ$ÀE1ÒE1ÉH‹ep H‹
.p é|ùÿÿA¸6éOùÿÿH=7MH‰L$HH‰t$0èÀ|ÿÿ…ÀH‹t$0H‹L$H„òàÿÿI‰éH‹l$8é4ÿÿÿ1ÒH‰ïè'~ÿÿH…ÀH‰Ã…óàÿÿI‰éA¸úH‹l$8ºþ
E1ÛE1ÒH‹
³o é3öÿÿA¸Dº²
H‹Ìo H‹
•o éãøÿÿA¸Gº²
E1ÒH‹«o H‹
to éÂøÿÿH‰L$èm|ÿÿH…ÀH‹L$uH‹o H5LH‹8èízÿÿH‹L$A¸„ºš
HDŽ$ÀE1ÒE1É1Û1ÀE1ÿéjøÿÿH=0LH‰L$è¾{ÿÿ…ÀH‹L$„´Ùÿÿë·I‰éH‹l$8A¸ºÿ
‹|$@‰T$ L‰T$L‰L$D‰D$èPyÿÿH‹¼$àècyÿÿH‹
´n D‹D$L‹L$L‹T$‹T$ éøÿÿI‰éA¸H‹l$8ºÿ
E1ÛE1ÒH‹
|n éüôÿÿI‰éA¸H‹l$8ºÿ
E1ÛE1ÒH‹
Wn é×ôÿÿI‰éA¸H‹l$8ºþ
E1ÛE1ÒH‹
2n é²ôÿÿH‰ß评ÿÿH‰ÅéàÿÿI‰éA¸H‹l$8ºþ
E1ÛE1ÒH‹
ým é}ôÿÿH‹B@H…Àt.HƒÆ$éßÿÿI‰éA¸ýH‹l$8ºþ
E1ÛE1ÒH‹
Æm éFôÿÿH‰ïèq|ÿÿH‰ÃéTßÿÿA¸BélûÿÿA¸?éaûÿÿH‰L$L‰T$è”zÿÿH…ÀL‹T$H‹L$u H‹&m H5¯JH‹8èyÿÿL‹T$H‹L$A¸<º
E1Û1íE1É1ÛéÈóÿÿH=\JH‰L$HL‰T$8H‰t$0èàyÿÿ…ÀH‹t$0L‹T$8H‹L$H„pàÿÿë²A¸-ºþ
1íE1É1ÛH‹
öl évóÿÿI‰éA¸H‹l$8ºþ
éõýÿÿA¸;éÿõÿÿA¸@éôõÿÿH‹B@L‰L$ H…ÀtPHƒÆ$éäìÿÿH‹|$0L‰ÊH‰ÞèäzÿÿH…ÀH‰„$ÀL‹L$…ýíÿÿA¸Jº²
E1ÒH‹¡l H‹
jl é¸õÿÿL‰×L‰T$è{ÿÿL‹L$ H‰„$ÀL‹T$é•ìÿÿH‹CH‰ß1í1ÛÿP0A¸Òº
E1ÛE1ÒH‹L$éÀáÿÿI‹CH‰L$L‰ßÿP0H‹L$éváÿÿH‰L$L‰\$èøxÿÿH…ÀL‹\$H‹L$u H‹Šk H5IH‹8èswÿÿL‹\$H‹L$A¸Íº
1íE1Ò1ÛéRáÿÿH=ÃHH‰L$L‰\$èLxÿÿ…ÀL‹\$H‹L$„¾àÿÿë¿1ÒL‰ÞH‰ßL‰\$è¶yÿÿH…ÀH‰ÃL‹\$uRA¸Íº
1íE1Ò1ÛH‹
Hk éëàÿÿA¸Èº
1í1ÛH‹
-k éÐàÿÿH‰D$I‹CL‰ßÿP0L‹T$éêßÿÿH‹
k épàÿÿff.„AW19AVAUATI‰ÔUSH‰óHìH
H…ÒH¬$ H‰ïóH«…L‹FIƒøthIƒøtSIƒøtkH=3º1ö¹èí‰ÿÿ¾ºL
H
-2H=­HèŽÿÿ1ÀHÄH
[]A\A]A^A_Ã@H‹†°H‰„$8
H‹ƒ¨H‰„$0
H‹ƒ H‹{ H‰„$(
H‹ƒ˜H‰„$ 
H‹ƒH‰„$
H‹ƒˆH‰„$
H‹ƒ€H‰„$
H‹CxH‰„$
H‹CpH‰„$øH‹ChH‰„$ðH‹C`H‰„$èH‹CXH‰„$àH‹CPH‰„$ØH‹CHH‰„$ÐH‹C@H‰„$ÈH‹C8H‰„$ÀH‹C0H‰„$¸H‹C(H‰„$°H‰¼$¨H‹kH‰¬$ H‹i H9_„Bè­vÿÿòD$@òT$@f.YQ‹H‹¼$¸L‹¤$°H‹GH‹€¨©€„ŸH‹GHcЉD$4H9Ð…«ƒ|$4ÿ„¶H‹¼$ÀH9_„¼è7vÿÿòD$Hò\$Hf.ãP‹¤H‹¼$ÈH9_„{èvÿÿòD$Pòd$Pf.%²P‹™H‹¼$ÐH9_„èÕuÿÿòD$Xòl$Xf.-P‹H‹¼$àL‹¬$ØH‹GH‹€¨©€„B
H‹GHcЉD$8H9Ð…N
ƒ|$8ÿ„Y
H‹¼$èH‹GH‹€¨©€„¡H‹GHcЉD$<H9Ð…­ƒ|$<ÿ„¸H‹¼$ðH‹GH‹€¨©€„H‹GHcЉD$xH9Ð…ƒ|$xÿ„*H‹¼$øH;=Åg ”ÀH;=3g ”„¸¶	D$|H‹¼$
H‹GH‹€¨©€„)L‹wD‰ðI9Æ…˜Aƒþÿ„NH‹¼$
H9_„çè‚tÿÿòD$`òt$`f.5.O‹4H‹¼$
H9_„¦èQtÿÿòD$hòT$hf.ýN‹RH‹¼$
H‹GH‹€¨©€„WH‹GHcÐA‰ÇH9Ð…cAƒÿÿ„oH‹¼$ 
H9_„èåsÿÿòD$pò\$pf.‘N‹UH‹¼$(
H9_„Ù
è´sÿÿf(øf.=hN‹H‹¼$0
ò
JNH…ÿt3H9_„3ò¼$€èusÿÿò¼$€f(Èf.
 N‹H‹¼$8
H…ÿ„	H9_„ß
ò¼$ˆòŒ$€è(sÿÿò¼$ˆòŒ$€f.ÎM‹ú
H‹)Ÿ H…Ò„Å
H‹¹e H9Ýt
H‹}H9ú…ç	H‹О H…Ò„œ
I9ÜtI‹|$H9ú…ºH‹Ş H…Ò„y
I9Ýt
I‹}H9ú…4	‹D$|D‹L$<òD$(D‹D$8‹T$4òL$ òt$pL‰é‰D$L‰æH‰ï‹D$xòl$hòd$`D‰|$ò\$XD‰t$òT$P‰$òL$HòD$@èÍÿÿéLúÿÿf.„H;=ád „;ýÿÿèrÿÿƒøÿ‰D$|…0ýÿÿèœqÿÿH…À„"ýÿÿ¾úºT
éñùÿÿ@òé&þÿÿfDògòd$péáýÿÿògòd$Xéáûÿÿòwòt$héUýÿÿòoòl$`éýÿÿòwòt$Pé€ûÿÿòoòl$Hé?ûÿÿògòd$@é¹úÿÿòGé@þÿÿfDòOéÞýÿÿfDòðKé+þÿÿH‹tc H5R+H‹8è]oÿÿ1Àé8ùÿÿL‹vIƒþ‡‹
H6Jc°H
ÐÿàH‹†°H‰„$8
H‹ƒ¨H‰„$0
H‹ƒ H‰„$(
H‹ƒ˜H‰„$ 
H‹ƒH‰„$
H‹ƒˆH‰„$
H‹ƒ€H‰„$
H‹CxH‰„$
H‹CpH‰„$øH‹ChH‰„$ðH‹C`H‰„$èH‹CXH‰„$àH‹CPH‰„$ØH‹CHH‰„$ÐH‹C@H‰„$ÈH‹C8H‰„$ÀH‹C0H‰„$¸H‹C(H‰„$°H‹C H‰„$¨H‹CH‰„$ L‰çèëlÿÿIƒþI‰Å‡6HG5Jc°H
Ðÿà©
„;ènoÿÿHcЉD$4H9ЄUùÿÿH‹_b H5 8H‹8èØmÿÿè3oÿÿH…À…ÇD$4ÿÿÿÿé/ùÿÿ…äøÿÿèoÿÿH…À„Öøÿÿ¾ðºM
ég÷ÿÿH‹5û™ L‰çè{nÿÿH…ÀH‰„$¨„íIƒí
H‹5¯™ L‰çèWnÿÿH…ÀH‰„$°„aIƒí
H‹5+™ L‰çè3nÿÿH…ÀH‰„$¸„LIƒí
H‹5š L‰çènÿÿH…ÀH‰„$À„‚Iƒí
H‹5Kš L‰çèëmÿÿH…ÀH‰„$È„‹Iƒí
H‹5/™ L‰çèÇmÿÿH…ÀH‰„$Є”Iƒí
H‹5‹™ L‰çè£mÿÿH…ÀH‰„$Ø„éIƒí
H‹5¿˜ L‰çèmÿÿH…ÀH‰„$à„kIƒí
H‹5™ L‰çè[mÿÿH…ÀH‰„$脾Iƒí
H‹5g— L‰çè7mÿÿH…ÀH‰„$ð„mIƒí
H‹5£— L‰çèmÿÿH…ÀH‰„$ø„ÐIƒí
H‹5— L‰çèïlÿÿH…ÀH‰„$
„øIƒí
H‹5㖠L‰çèËlÿÿH…ÀH‰„$
„=	Iƒí
H‹5ǖ L‰çè§lÿÿH…ÀH‰„$
„7Iƒí
H‹5㗠L‰çèƒlÿÿH…ÀH‰„$
„˜	Iƒí
H‹5˜ L‰çè_lÿÿH…ÀH‰„$ 
„G	Iƒí
H‹5#— L‰çè;lÿÿH…ÀH‰„$(
„öIƒí
M…í~RH‹5‚– L‰çèlÿÿH…ÀtH‰„$0
IĒ
M…í~-H‹5e— L‰çèíkÿÿH…À„4H‰„$8
IĒ
M…íH‹¬$ H‹¼$¨éÇõÿÿ©
„_HƒˆÙèÏlÿÿ‰ÂA‰ÆH9Є¾÷ÿÿH‹_ H5+3H‹8è‹jÿÿèækÿÿH…À…[AƒÎÿé›÷ÿÿ@…Â÷ÿÿèÅkÿÿH…Àf„²÷ÿÿ¾üºU
éôÿÿHÜ2H5¥2M…öHIðH‹§^ H‹8è'jÿÿëš…¨÷ÿÿèzkÿÿH…À„š÷ÿÿ¾ýºU
éÏóÿÿ©
„¦èbkÿÿHcÐA‰ÇH9Є÷ÿÿH‹T^ H5•4H‹8èÍiÿÿè(kÿÿH…À…ÇAƒÏÿéz÷ÿÿ…¥÷ÿÿèkÿÿH…À„—÷ÿÿ¾ÿºV
é`óÿÿ©
„‚èójÿÿHcЉD$8H9Є²õÿÿH‹ä] H5%4H‹8è]iÿÿè¸jÿÿH…À…:ÇD$8ÿÿÿÿéŒõÿÿH‰Öò¼$˜H‰”$€ò„$òŒ$ˆè×kÿÿ…ÀH‹”$€òŒ$ˆò„$ò¼$˜…ð÷ÿÿI‹D$H‹JH%L‹@H‹] H5z;H‹81Àèkÿÿ1Àé›òÿÿ…VôÿÿèjÿÿH…À„Eôÿÿ¾óºP
é`òÿÿ…aôÿÿèèiÿÿH…ÀD„Nôÿÿ¾ôºP
é8òÿÿ…jôÿÿèÀiÿÿH…À„\ôÿÿ¾õºQ
éòÿÿ©
„—è¨iÿÿHcЉD$xH9ЄáôÿÿH‹™\ H5Ú2H‹8èhÿÿèmiÿÿH…À…ÿÇD$xÿÿÿÿé»ôÿÿ©
„èWiÿÿHcЉD$<H9ЄSôÿÿH‹H\ H5‰2H‹8èÁgÿÿèiÿÿH…À…SÇD$<ÿÿÿÿé-ôÿÿH‰Öò¼$˜H‰”$€ò„$òŒ$ˆè;jÿÿ…ÀH‹”$€òŒ$ˆò„$ò¼$˜…vöÿÿI‹EH‹JHd%L‹@é`þÿÿH‰Öò¼$˜H‰”$€ò„$òŒ$ˆèÍiÿÿ…ÀH‹”$€òŒ$ˆò„$ò¼$˜…ÃõÿÿH‹EH‹JHš#L‹@éòýÿÿ…âôÿÿò¼$€èhÿÿH…Àò¼$€„Âôÿÿ¾ºW
ébðÿÿ…õôÿÿò¼$ˆòŒ$€èØgÿÿH…ÀòŒ$€ò¼$ˆ„Ãôÿÿ¾ºX
éðÿÿ…õÿÿò¼$ò„$ˆòŒ$€èˆgÿÿH…ÀòŒ$€ò„$ˆò¼$„¼ôÿÿ¾ºY
éÂïÿÿH=«"º1öA¸¹è‡yÿÿ¾zºL
é•ïÿÿè4lÿÿ‰D$4é!ñÿÿH‹5« L‰çIƒí
è—fÿÿH…ÀH‰„$ …ü÷ÿÿL‹Cé8ïÿÿH=C"º1öA¸
¹èyÿÿ¾uºL
é-ïÿÿèûhÿÿH…ÀI‰Ç„ÄúÿÿH‰Çè7zÿÿI‹7A‰ÆHVÿH…ÒI‰…NòÿÿI‹GL‰ÿÿP0é?òÿÿ¾ûºT
éàîÿÿH=É!º1öA¸¹è¥xÿÿ¾˜ºL
é³îÿÿH=œ!º1öA¸¹èxxÿÿ¾ºL
é†îÿÿH=o!º1öA¸¹èKxÿÿ¾“ºL
éYîÿÿH=B!º1öA¸¹èxÿÿ¾„ºL
é,îÿÿH=!º1öA¸¹èñwÿÿ¾‰ºL
éÿíÿÿH=è º1öA¸¹èÄwÿÿ¾ŽºL
éÒíÿÿ¾ùºT
éÃíÿÿH=¬ º1öA¸¹èˆwÿÿ¾¬ºL
é–íÿÿH= º1öA¸
¹è[wÿÿ¾¢ºL
éiíÿÿH=R º1öA¸	¹è.wÿÿ¾ºL
é<íÿÿH=% º1öA¸¹è
wÿÿ¾¶ºL
éíÿÿH=øº1öA¸¹èÔvÿÿ¾§ºL
éâìÿÿ¾÷ºS
éÓìÿÿèriÿÿ‰D$8é7ïÿÿ¾þºV
é¶ìÿÿèUiÿÿ‰D$<éWïÿÿH‹LW H55+H‹8èÅbÿÿé5øÿÿLvH5òi L‰ñH‰êL‰çè0kÿÿ…À‰½÷ÿÿ¾ÓºL
éZìÿÿH=Cº1öA¸
¹èvÿÿ¾±ºL
é-ìÿÿ¾øºS
éìÿÿè½hÿÿA‰ÇéþïÿÿH=úº1öA¸¹èÖuÿÿ¾ÅºL
éäëÿÿH=ͺ1öA¸¹è©uÿÿ¾ÀºL
é·ëÿÿH= º1öA¸¹è|uÿÿ¾»ºL
éŠëÿÿM‰ðé`ëÿÿ¾òºO
ésëÿÿèhÿÿ‰D$xéQîÿÿ„AVHA¸¹¾AUATUSHì Hœ$0
H¬$@
dH‹%(H‰„$1ÀH‰ßèßaÿÿèªdÿÿH3H‰~1ÀH‰ïèÁaÿÿ¶„$@
8„$0
„¼L¤$P
LHî3I‰éH‰پÈL‰ç1Àèaÿÿ1ÿº
L‰æèr`ÿÿ…À‰’L-ĽF$A¼
Hƒ=¸ „â
H=c5L‰éD‰â‰îèvxÿÿH‹=— Hƒ/
uH‹GÿP0HǏ H‹„$dH3%(…õHÄ []A\A]A^ö„$B
8„$2
…/ÿÿÿ1ÿèqaÿÿH…ÀH‰ „ŸH=H1öè³^ÿÿH…ÀH‰ñŽ „jH5¼‰ H=
1É1ÒA¸õè6_ÿÿH…ÀH‰äŽ „v
Hƒ
H‰ÇèºbÿÿH…ÀH‰ „óHƒ
H=Ðè*_ÿÿH…ÀH‰˜Ž „êH‹=›Ž H5¹H‰Âè_ÿÿ…Àˆ
H‹-ug H…í„,
Heg ë)H‹{è‡_ÿÿH‰EH‹Hƒ8t>HƒÃ(H‹+H…í„ú€{ …˜€{"uÊH‹CH‹{Hpÿè¹]ÿÿH‰EH‹Hƒ8uÂHƒ=Ž HþÇ׍ 
Çɍ ($½h$A¼
H‰¯ I‰Å…$þÿÿfDè#`ÿÿH…À…CþÿÿH‹cS H5l3H‹8è¤^ÿÿé(þÿÿ€H‹CH‹{1ÒHpÿè]ÿÿH‰Eé)ÿÿÿ@½f$L-mA¼
é©ýÿÿ½_$L-UA¼
é‘ýÿÿf„H‹iR ‹…Àt"H‹dŠ H‹=- H5Xè©]ÿÿ…ÀˆH‹=¢‰ è5–ÿÿH…ÀH‰[‹ „QH‹=æŠ è–ÿÿH…ÀH‰7‹ „nH‹=⊠èý•ÿÿH…ÀH‰‹ „H‹5Ή 1?
è
aÿÿH…ÀH‰hˆ „bH‹5£‰ 1?
èç`ÿÿH…ÀH‰=ˆ „H‹5Š 1?
èÄ`ÿÿH…ÀH‰ˆ „¾H‹5}Š 1?
è¡`ÿÿH…ÀH‰ç‡ „tH‹5JŠ 1?
è~`ÿÿH…ÀH‰¼‡ „*H‹5/Š 1?
è[`ÿÿH…ÀH‰‘‡ „àH‹4ˆ ¿*H‰„$ 
H‹ˆ H‰„$
H‹aˆ H‰„$
H‹Zˆ H‰„$
H‹ûˆ H‰„$
H‹‰ H‰„$øH‹=‰ H‰„$ðH‹N‰ H‰„$èH‹G‰ H‰„$àH‹è‡ H‰„$ØH‹!‡ H‰„$ÐH‹¢‡ H‰„$ÈH‹K‡ H‰„$ÀH‹ˆ H‰„$¸H‹µˆ H‰„$°H‹ކ H‰„$¨H‹_ˆ H‰„$ H‹Ȇ H‰„$˜H‹F H‰„$H‹҆ H‰„$ˆH‹㇠H‰„$€H‹ć H‰D$xH‹ø‡ H‰D$pH‹ä† H‰D$hH‹P‡ H‰D$`H‹ˆ H‰D$XH‹°‡ H‰D$PH‹d† H‰D$HH‹P† H‰D$@H‹̆ H‰D$8H‹°† H‰D$0H‹D† H‰D$(H‹°‡ H‰D$ H‹<‡ H‰D$H‹؇ L‹
ñ‡ L‹چ H‹
3‡ H‹T‡ H‰D$H‹0‡ H‹5х H‰D$H‹ˆ H‰$1Àè"^ÿÿH…ÀH‰P… „2H‹ƒ† L‹
”‰ 1ÉL‹ƒ‰ ÇD$0L
¾*H‰D$¿H‰T$(H‹x‡ L‰D$8L‰L$L‰L$L‰$H‰T$ 1Òè)ZÿÿH…ÀH‰߄ „H„ H=; H‰äˆ H]fÿÿH‰¦„ H_fÿÿH‰ „ èãZÿÿ…Àˆ«
H‹5´ˆ H‹=‚ HÇ* è-qÿÿ…Àˆ¥
H‹=æˆ H׀ H5è[Yÿÿ…Àˆ£
H¼€ H= H‰f‡ H„ H‰Hˆ HéeÿÿH‰„ HëeÿÿH‰üƒ H}€ H‰Ö èAZÿÿ…Àˆ€
H‹5
ˆ H‹=à HÇè~ è‹pÿÿ…Àˆq
H‹=Dˆ H•~ H5~è¹Xÿÿ…Àˆf
Hz~ H=Ó| H‰¼† Heƒ H‰ž‡ HgeÿÿH‰Pƒ HieÿÿH‰Jƒ H‹“† H‰”} èŸYÿÿ…Àˆ€
H‹5`‡ H‹=} HǦ| èéoÿÿ…Àˆ•
H‹=¢‡ HS| H5çèXÿÿ…ÀˆŠ
H8| H=Qz H‰† H³‚ H‰ô† HådÿÿH‰ž‚ H'eÿÿH‰˜‚ Hù{ H‰{ èýXÿÿ…ÀˆG
H‹5¶† H‹=ÿz HÇ$z èGoÿÿ…Àˆ/H‹=‡ HÑy H5TèuWÿÿ…ÀˆöH¶y H=Ïw H‰h… H
‚ H‰J† HódÿÿH‰ì HeÿÿH‰æ H‹?… H‰x è[Xÿÿ…Àˆ…H‹5† H‹=}x HÇ¢w è¥nÿÿ…ÀˆHH‹=^† HOw H5ÇèÓVÿÿ…ÀˆH4w H=Mu H‰¾„ HO H‰ … H±dÿÿH‰: HÓdÿÿH‰4 H‹­„ H‰v è¹Wÿÿ…Àˆž
H‹5b… H‹=ûu HÇ u ènÿÿ…ÀˆH‹=¼… HÍt H5è1Vÿÿ…ÀˆÜH²t H=Ër H‰„ H€ H‰ö„ H/mÿÿH‰ˆ€ HqlÿÿH‰‚€ H‹ûƒ H‰Œs èWÿÿ…ÀˆkH‹5¸„ H‹=ys HÇžr èamÿÿ…Àˆ.H‹=… HKr H5‰èUÿÿ…ÀˆõH0r H=Ip H‰jƒ Hë H‰L„ HÍcÿÿH‰Ö HßcÿÿH‰Ð H‹aƒ H‰
q èuVÿÿ…Àˆ„H‹5„ H‹=÷p HÇp è¿lÿÿ…ÀˆGH‹=x„ HÉo H5ëèíTÿÿ…ÀˆH®o H=Çm H‰ H9 H‰¢ƒ H[cÿÿH‰$ H­cÿÿH‰ H‹¿‚ H‰ˆn èÓUÿÿ…ÀˆH‹5dƒ H‹=un HÇšm èlÿÿ…Àˆ`H‹=փ HGm H52èKTÿÿ…Àˆ'H,m H=Ek H‰‚ H‡~ H‰ø‚ HYcÿÿH‰r~ H{cÿÿH‰l~ H‹‚ H‰l è1Uÿÿ…Àˆ¶
H‹5º‚ H‹=ók HÇk è{kÿÿ…Àˆy
H‹=4ƒ HÅj H5ºè©Sÿÿ…Àˆ@
Hªj H=Ãh H‰l HÕ} H‰N‚ H7cÿÿH‰À} HYcÿÿH‰º} H‹{ H‰„i èTÿÿ…ÀˆÏH‹5‚ H‹=qi HÇ–h èÙjÿÿ…Àˆ’H‹=’‚ HCh H5èSÿÿ…ÀˆYH(h H5wH={1ɺhH‰´€ è®WÿÿH…ÀH‰E „
H5EH=Ø1ɺ`è„WÿÿH…ÀH‰ „ÉH5»H=®1ɺH
èZWÿÿH…ÀH‰ဠ„ˆH5šH=„1ɺ0è0WÿÿH…ÀH‰¯€ „GH5zH=Z1ɺPèWÿÿH…ÀH‰}€ „H5XH=01ɺÀèÜVÿÿH…ÀH‰K€ „Å
H54H=:¹
º@è¯VÿÿH…ÀH‰€ „
H‹¸
è0XÿÿH…ÀH‰ò€ „N
H5H=¹
º8èfVÿÿH…ÀH‰Å „

H‹¸
èçWÿÿH…ÀH‰¡€ „×	H5÷H=Ö¹
ºpèVÿÿH…ÀH‰t „“	H‹¸
èžWÿÿH…ÀH‰P€ „`	H5»H=¹
ºxèÔUÿÿH…ÀH‰# „	H‹¸
èUWÿÿH…ÀH‰ÿ „éH‹=2} 1öè¬XÿÿH…ÀI‰Æ„¸H‹5 } H‹=€ H‰Âè¡Sÿÿ…Àˆ´Iƒ.
u
I‹FL‰÷ÿP0H‹=R| 1öèdXÿÿH…ÀI‰Æ„sH‹58| H‹=Ñ H‰ÂèYSÿÿ…ÀˆCIƒ.
u
I‹FL‰÷ÿP0¿
è7OÿÿH…ÀI‰Æ„H‹Ì{ L‰öHƒ
I‹FH‹º{ H‰H‹=°{ èìWÿÿH…ÀH‰Ã„ÂIƒ.
u
I‹FL‰÷ÿP0H‹-ˆ{ H‰ßH‰îè%fÿÿH…ÀI‰Æ„QH‹5j{ H‹=+ H‰Âè³Rÿÿ…ÀˆæIƒ.
u
I‹FL‰÷ÿP0Hƒ+
u
H‹CH‰ßÿP0H=QèoQÿÿH…ÀH‰Å„“H5OH‰ÇèDOÿÿHƒm
H‰Ãu
H‹EH‰ïÿP0H…Û„ŠH‹0D H9C„•H‹×C H5#H‹8èOÿÿHƒ+
„ H‹/D èÊOÿÿH‹;H5¸"èkOÿÿéïîÿÿfD½‚$L-UA¼.é‘îÿÿf„½„$L-5A¼.éqîÿÿf„½…$L-A¼.éQîÿÿf„½m$L-õ
A¼
é1îÿÿ½Œ$L-Þ
A¼Yéîÿÿ½Ž$L-Ç
A¼Yéîÿÿ½$L-°
A¼YéìíÿÿHž
Çw} ¿
Çi} Ç#H‰Z} ½x$L-w
A¼
é³íÿÿHe
Ç>} 
Ç0} È#H‰!} 뮖$L-<
A¼céxíÿÿH¥
Ç} Çõ| É#H‰æ| 늽˜$L-

A¼cé=íÿÿ½™$L-ê	A¼cé&íÿÿ½ $L-Ó	A¼méíÿÿ½`$L-¼	A¼
éøìÿÿ½b$L-¥	A¼
éáìÿÿ½H$L-Ž	A¼
éÊìÿÿ½G$L-w	A¼
é³ìÿÿèFMÿÿH‹CH‰ßÿP0H‹B éÑýÿÿH‹ùA H5Š H‹;è:Mÿÿé¶ýÿÿ½-%A¼I‹L-!	Hƒè
H…ÀI‰u
I‹FL‰÷ÿP0H…Û„IìÿÿHƒ+
…?ìÿÿH‹CH‰ßÿP0é0ìÿÿH‹™A H‹8èIMÿÿ…ÀtH‹~A HU$H5H‹81Àè‰Oÿÿ½+%L-®A¼뛽(%A¼ékÿÿÿ½#%L-ŠA¼éÆëÿÿ½%A¼1ÛéBÿÿÿ½%L-aA¼éëÿÿ½
%A¼
1Ûéÿÿÿ½´$L-8A¼«étëÿÿ½­$L-!A¼‹é]ëÿÿ½¬$L-
A¼‹éFëÿÿ½ª$L-óA¼‹é/ëÿÿ½£$L-ÜA¼méëÿÿ½¢$L-ÅA¼mé
ëÿÿH³ÇŒz L
Ç~z $H‰oz ½z$L-ŒA¼
éÈêÿÿHzÇSz L
ÇEz $H‰6z ëÅHÑÇ/z ÛÇ!z å#H‰z ë¡H­Çz ×Çýy Ú#H‰îy ézÿÿÿH‰ßèYMÿÿHƒ+
H‰z u
H‹CH‰ßÿP0H‹ûy H…À„“
ÿ=	
H‹äy …m
ÿ˜ƒø	H‹Îy †&
ÿ…ÀH5á„̓è
…½H‹v H=ls 1öè¥IÿÿH…ÀH‰Ã„…H‹5Jv H‹=ky H‰ÚèóLÿÿ…ÀxTHƒ+
u
H‹CH‰ßÿP0è:LÿÿH…ÀH‰Ã„•H‹5u H‹=0y H‰Âè¸Lÿÿ…ÀxdHƒ+
…£éÿÿH‹CH‰ßÿP0é”éÿÿ½C%L-A¼L
éêüÿÿ½A%L-éA¼L
é%éÿÿH5>H‹> H‹81Àè•Lÿÿé:úÿÿ½M%L-µA¼
éŸüÿÿ½K%L-žA¼
éÚèÿÿÿ˜H5m‰z
H‹¯= H‹81Àè=LÿÿH‹> éâùÿÿÿº	
‰ÁH5éëÑH‹€= H5ÔH‹8è9IÿÿH‹â= é®ùÿÿH‹Þ= H5H‹8èIÿÿH‹À= éŒùÿÿH€ÇÞw 7ÇÐw $H‰Áw éMýÿÿHYÇ·w #Ç©w $H‰šw é&ýÿÿH2ǐw Ç‚w û#H‰sw éÿüÿÿHÇiw 

Ç[w ð#H‰Lw éØüÿÿ½%L-dA¼
é çÿÿ½ÿ$L-A¼ é‰çÿÿ½þ$L-A¼ érçÿÿ½ý$L-íA¼é[çÿÿ½ü$L-ÖA¼éDçÿÿ½û$L-¿A¼é-çÿÿ½ú$L-¨A¼éçÿÿ½ù$L-¡A¼
éÿæÿÿ½ø$L-ŠA¼
éèæÿÿ½÷$L-A¼]éÑæÿÿ½ö$L-ùA¼²éºæÿÿ½õ$L-âA¼©é£æÿÿ½ô$L-ËA¼¥éŒæÿÿ½ó$L-´A¼›éuæÿÿ½ò$L-A¼	é^æÿÿ½é$L-A¼/
éGæÿÿ½è$L-ôA¼/
é0æÿÿ½æ$L-ÝA¼/
éæÿÿ½ß$L-ÆA¼
éæÿÿ½Þ$L-¯A¼
éëåÿÿ½Ü$L-˜A¼
éÔåÿÿ½Õ$L-A¼ðé½åÿÿ½Ô$L-jA¼ðé¦åÿÿ½Ò$L-SA¼ðéåÿÿ½Ë$L-<A¼äéxåÿÿ½Ê$L-%A¼äéaåÿÿ½È$L-A¼äéJåÿÿ½Á$L-÷
A¼Ëé3åÿÿ½À$L-à
A¼Ëéåÿÿ½¾$L-É
A¼Ëéåÿÿ½·$L-²
A¼«éîäÿÿ½¶$L-›
A¼«é×äÿÿHƒìHƒÄÃ'char''signed char''unsigned char''short''unsigned short''int''unsigned int''long''unsigned long''long long''unsigned long long''float''double''long double'a structPython objecta pointera stringendunparseable format string'complex long double''complex double''complex float'at leastat mostexactlyintlongan integer is required%s (%s:%d)Missing type objectsgd_fast.pyxbuffer dtypelost sys.stdout 
dloss__init__name '%.200s' is not definedtupleExpected %.16s, got %.200s__init__.pxdnumpy._util_dtypestringnumpy.ndarray.__getbuffer__plain_sgdweightsseq_dataset.pxdweight_vector.pxdtype.pxd%d.%d%ssklearn.linear_model.sgd_fast__builtin____builtins____name__LossFunctionRegressionClassificationModifiedHuberSquaredHingeLogSquaredLossSquaredEpsilonInsensitivenumpyflatiterbroadcastndarrayufuncWeightVectorsklearn.utils.weight_vectorSequentialDatasetsklearn.utils.seq_datasetArrayDatasetCSRDatasetcannot import name %.230snumpy.core.multiarray_ARRAY_API_ARRAY_API not found_ARRAY_API is NULL pointer__reduce__double@RÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿPRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿ`RÿÿpRÿÿÐRÿÿÐRÿÿ€RÿÿÐRÿÿÐRÿÿRÿÿ Rÿÿ°RÿÿÐRÿÿÐRÿÿÀRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿÐRÿÿQÿÿ Qÿÿ°QÿÿÐRÿÿÈQÿÿàQÿÿøQÿÿRÿÿÐRÿÿÐRÿÿRÿÿÐRÿÿÐRÿÿÐRÿÿ Rÿÿ0RÿÿÐRÿÿ Rÿÿ^ÿÿ&^ÿÿ&^ÿÿ&^ÿÿ&^ÿÿ&^ÿÿ^ÿÿ^ÿÿ&^ÿÿ&^ÿÿ^ÿÿ&^ÿÿ&^ÿÿà[ÿÿà[ÿÿ^ÿÿ&^ÿÿ&^ÿÿ&^ÿÿ&^ÿÿ&^ÿÿ&^ÿÿ&^ÿÿ&^ÿÿ&^ÿÿ&^ÿÿ&^ÿÿ&^ÿÿ&^ÿÿ&^ÿÿ&^ÿÿ&^ÿÿý]ÿÿò]ÿÿ^ÿÿ&^ÿÿ^ÿÿ^ÿÿý]ÿÿý]ÿÿ&^ÿÿ&^ÿÿý]ÿÿ&^ÿÿ&^ÿÿ&^ÿÿý]ÿÿý]ÿÿ&^ÿÿý]ÿÿÀ\ÿÿè\ÿÿè\ÿÿè\ÿÿè\ÿÿè\ÿÿH\ÿÿ°\ÿÿè\ÿÿè\ÿÿh[ÿÿè\ÿÿè\ÿÿh[ÿÿh[ÿÿh[ÿÿè\ÿÿè\ÿÿè\ÿÿè\ÿÿè\ÿÿè\ÿÿè\ÿÿè\ÿÿè\ÿÿè\ÿÿè\ÿÿè\ÿÿè\ÿÿè\ÿÿè\ÿÿè\ÿÿÀ\ÿÿÀ\ÿÿ€\ÿÿè\ÿÿ˜\ÿÿÐ\ÿÿH\ÿÿ°\ÿÿè\ÿÿè\ÿÿh[ÿÿè\ÿÿè\ÿÿè\ÿÿÀ\ÿÿh[ÿÿè\ÿÿÀ\ÿÿÐ]ÿÿH^ÿÿH^ÿÿÐ]ÿÿH^ÿÿH^ÿÿH^ÿÿH^ÿÿH^ÿÿ ^ÿÿ^ÿÿH^ÿÿH^ÿÿ°]ÿÿH^ÿÿH^ÿÿ°]ÿÿ°]ÿÿ°]ÿÿH^ÿÿH^ÿÿH^ÿÿH^ÿÿH^ÿÿH^ÿÿH^ÿÿH^ÿÿH^ÿÿH^ÿÿH^ÿÿH^ÿÿH^ÿÿH^ÿÿH^ÿÿH^ÿÿÐ]ÿÿÐ]ÿÿ°]ÿÿH^ÿÿ^ÿÿ0^ÿÿ ^ÿÿ^ÿÿH^ÿÿH^ÿÿ°]ÿÿH^ÿÿH^ÿÿH^ÿÿÐ]ÿÿ°]ÿÿH^ÿÿÐ]ÿÿ$[ÿÿL[ÿÿL[ÿÿ$[ÿÿL[ÿÿL[ÿÿL[ÿÿL[ÿÿL[ÿÿ¬Zÿÿ[ÿÿL[ÿÿL[ÿÿ[ÿÿL[ÿÿL[ÿÿÌYÿÿÌYÿÿÌYÿÿL[ÿÿL[ÿÿL[ÿÿL[ÿÿL[ÿÿL[ÿÿL[ÿÿL[ÿÿL[ÿÿL[ÿÿL[ÿÿL[ÿÿL[ÿÿL[ÿÿL[ÿÿL[ÿÿ$[ÿÿ$[ÿÿäZÿÿL[ÿÿüZÿÿ\ÿÿ¬Zÿÿ[ÿÿL[ÿÿL[ÿÿ[ÿÿL[ÿÿL[ÿÿL[ÿÿ$[ÿÿÌYÿÿL[ÿÿ$[ÿÿ]ÿÿ"]ÿÿ"]ÿÿ]ÿÿ"]ÿÿ"]ÿÿ"]ÿÿ"]ÿÿ"]ÿÿ]ÿÿ’\ÿÿ"]ÿÿ"]ÿÿh\ÿÿ"]ÿÿ"]ÿÿh\ÿÿh\ÿÿh\ÿÿ"]ÿÿ"]ÿÿ"]ÿÿ"]ÿÿ"]ÿÿ"]ÿÿ"]ÿÿ"]ÿÿ"]ÿÿ"]ÿÿ"]ÿÿ"]ÿÿ"]ÿÿ"]ÿÿ"]ÿÿ"]ÿÿ]ÿÿ]ÿÿh\ÿÿ"]ÿÿ’\ÿÿ]ÿÿ]ÿÿ’\ÿÿ"]ÿÿ"]ÿÿh\ÿÿ"]ÿÿ"]ÿÿ"]ÿÿ]ÿÿh\ÿÿ"]ÿÿ]ÿÿ´oÿÿünÿÿünÿÿünÿÿünÿÿünÿÿünÿÿünÿÿünÿÿünÿÿänÿÿünÿÿünÿÿänÿÿünÿÿünÿÿünÿÿünÿÿünÿÿünÿÿünÿÿünÿÿünÿÿünÿÿünÿÿünÿÿünÿÿünÿÿünÿÿünÿÿünÿÿünÿÿänÿÿ´qÿÿünÿÿünÿÿünÿÿünÿÿünÿÿünÿÿnÿÿünÿÿünÿÿünÿÿünÿÿünÿÿünÿÿünÿÿünÿÿünÿÿünÿÿünÿÿünÿÿünÿÿünÿÿünÿÿünÿÿünÿÿäqÿÿünÿÿ¤pÿÿ”qÿÿ´qÿÿünÿÿ”qÿÿünÿÿtoÿÿünÿÿünÿÿünÿÿünÿÿünÿÿtoÿÿtoÿÿünÿÿünÿÿtoÿÿünÿÿünÿÿtoÿÿünÿÿtoÿÿünÿÿünÿÿôpÿÿünÿÿünÿÿünÿÿünÿÿünÿÿ¼pÿÿünÿÿünÿÿünÿÿ”qÿÿünÿÿünÿÿünÿÿtoÿÿtoÿÿtoÿÿünÿÿtoÿÿtoÿÿtoÿÿtoÿÿünÿÿünÿÿtoÿÿünÿÿünÿÿünÿÿtoÿÿtoÿÿünÿÿ$oÿÿünÿÿünÿÿünÿÿünÿÿüoÿÿünÿÿünÿÿünÿÿünÿÿLpÿÿf“ÿÿZ“ÿÿN“ÿÿB“ÿÿ9“ÿÿ0“ÿÿ'“ÿÿ“ÿÿ“ÿÿ“ÿÿ“ÿÿú’ÿÿñ’ÿÿè’ÿÿߒÿÿ֒ÿÿ͒ÿÿ¶’ÿÿñÊÿÿåÊÿÿÙÊÿÿÍÊÿÿÁÊÿÿµÊÿÿ©ÊÿÿÊÿÿ‘Êÿÿ…ÊÿÿyÊÿÿmÊÿÿaÊÿÿUÊÿÿFÊÿÿ7Êÿÿ(ÊÿÿÊÿÿ
ÊÿÿûÉÿÿìÉÿÿÓÿÿ6ËÿÿZËÿÿ~Ëÿÿ¢ËÿÿÆËÿÿêËÿÿÌÿÿ2ÌÿÿVÌÿÿzÌÿÿžÌÿÿÂÌÿÿæÌÿÿ
Íÿÿ.ÍÿÿRÍÿÿvÍÿÿšÍÿÿ¿Íÿÿ%.200s() takes %.8s %zd positional argument%.1s (%zd given)Buffer dtype mismatch, expected %s%s%s but got %sBuffer dtype mismatch, expected '%s' but got %s in '%s.%s'__%.4s__ returned non-%.4s (type %.200s)can't convert negative value to npy_uint32value too large to convert to npy_uint32%.200s.%.200s is not a type object%s.%s size changed, may indicate binary incompatibility%.200s.%.200s has the wrong size, try recompilinginvalid vtable found for imported typesklearn/linear_model/sgd_fast.cExpected a dimension of size %zu, got %zuExpected %d dimensions, got %dUnexpected format string character: '%c'Python does not define a standard format string size for long double ('g')..Buffer dtype mismatch; next field is at offset %zd but %zd expectedvalue too large to convert to intCannot convert %.200s to %.200ssklearn.linear_model.sgd_fast.SquaredEpsilonInsensitive.__reduce__sklearn.linear_model.sgd_fast.EpsilonInsensitive.__reduce__sklearn.linear_model.sgd_fast.Huber.__reduce__sklearn.linear_model.sgd_fast.SquaredLoss.__reduce__sklearn.linear_model.sgd_fast.Log.__reduce__sklearn.linear_model.sgd_fast.SquaredHinge.__reduce__sklearn.linear_model.sgd_fast.Hinge.__reduce__sklearn.linear_model.sgd_fast.ModifiedHuber.__reduce__%.200s() got an unexpected keyword argument '%.200s'%s() got multiple values for keyword argument '%s'%.200s() keywords must be stringssklearn.linear_model.sgd_fast.LossFunction.dlosssklearn.linear_model.sgd_fast.Hinge.__init__sklearn.linear_model.sgd_fast.SquaredHinge.__init__sklearn.linear_model.sgd_fast.Huber.__init__sklearn.linear_model.sgd_fast.EpsilonInsensitive.__init__sklearn.linear_model.sgd_fast.SquaredEpsilonInsensitive.__init__Big-endian buffer not supported on little-endian compilerBuffer acquisition: Expected '{' after 'T'Cannot handle repeated arrays in format stringDoes not understand character buffer dtype format string ('%c')Expected a dimension of size %zu, got %dExpected a comma in format string, got '%c'Expected %d dimension(s), got %dUnexpected end of format string, expected ')'raise: arg 3 must be a traceback or Noneinstance exception may not have a separate valueraise: exception class must be a subclass of BaseException'NoneType' object is not iterabletoo many values to unpack (expected %zd)need more than %zd value%.1s to unpack while calling a Python objectNULL result without error in PyObject_Call'%.200s' does not have the buffer interfaceBuffer has wrong number of dimensions (expected %d, got %d)Item size of buffer (%zd byte%s) does not match size of '%s' (%zd byte%s)sklearn.linear_model.sgd_fast.plain_sgdArgument '%.200s' has incorrect type (expected %.200s, got %.200s)compiletime version %s of module '%.100s' does not match runtime version %snumpy.core.multiarray failed to import_ARRAY_API is not PyCObject objectmodule compiled against ABI version 0x%x but this version of numpy is 0x%xmodule compiled against API version 0x%x but this version of numpy is 0x%xFATAL: module compiled as unknown endianFATAL: module compiled as little endian, but detected different endianness at runtimeinit sklearn.linear_model.sgd_fastsklearn.linear_model.sgd_fast.SquaredEpsilonInsensitiveEpsilon-Insensitive loss.

    loss = max(0, |y - p| - epsilon)^2
    sklearn.linear_model.sgd_fast.EpsilonInsensitiveEpsilon-Insensitive loss (used by SVR).

    loss = max(0, |y - p| - epsilon)
    sklearn.linear_model.sgd_fast.HuberHuber regression loss

    Variant of the SquaredLoss that is robust to outliers (quadratic near zero,
    linear in for large errors).

    http://en.wikipedia.org/wiki/Huber_Loss_Function
    sklearn.linear_model.sgd_fast.SquaredLossSquared loss traditional used in linear regression.sklearn.linear_model.sgd_fast.LogLogistic regression loss for binary classification with y in {-1, 1}sklearn.linear_model.sgd_fast.SquaredHingeSquared Hinge loss for binary classification tasks with y in {-1,1}

    Parameters
    ----------

    threshold : float > 0.0
        Margin threshold. When threshold=1.0, one gets the loss used by
        (quadratically penalized) SVM.
    sklearn.linear_model.sgd_fast.HingeHinge loss for binary classification tasks with y in {-1,1}

    Parameters
    ----------

    threshold : float > 0.0
        Margin threshold. When threshold=1.0, one gets the loss used by SVM.
        When threshold=0.0, one gets the loss used by the Perceptron.
    sklearn.linear_model.sgd_fast.ModifiedHuberModified Huber loss for binary classification with y in {-1, 1}

    This is equivalent to quadratically smoothed SVM with gamma = 2.

    See T. Zhang 'Solving Large Scale Linear Prediction Problems Using
    Stochastic Gradient Descent', ICML'04.
    sklearn.linear_model.sgd_fast.ClassificationBase class for loss functions for classificationsklearn.linear_model.sgd_fast.RegressionBase class for loss functions for regressionsklearn.linear_model.sgd_fast.LossFunctionBase class for convex loss functionsð?ð¿ÀÀà?2@2À€ÿÿÿÿÿÿÿ
;|N !ÿÿ˜Ð&ÿÿx—'ÿÿX4)ÿÿ¨¡)ÿÿÐ;*ÿÿð©*ÿÿp
¼+ÿÿ.ÿÿ8
`/ÿÿÀp/ÿÿØ€/ÿÿð/ÿÿ /ÿÿ °/ÿÿ8À/ÿÿP0ÿÿhp0ÿÿ€ 0ÿÿ˜Ð0ÿÿ°1ÿÿÈ01ÿÿàP1ÿÿø`1ÿÿÀ1ÿÿ(2ÿÿ@02ÿÿX€2ÿÿp°2ÿÿˆ3ÿÿ 3ÿÿ¸`3ÿÿÐÐ4ÿÿèP5ÿÿ 5ÿÿ À5ÿÿ8à5ÿÿP6ÿÿh 6ÿÿ€@6ÿÿ˜`6ÿÿ°€6ÿÿÈ 6ÿÿàÀ6ÿÿøà6ÿÿP7ÿÿ0ð7ÿÿ` 8ÿÿ˜9ÿÿÀ@9ÿÿØð9ÿÿp:ÿÿ;ÿÿÐp>ÿÿ8Dÿÿ 	PEÿÿP	Fÿÿ€	ÐFÿÿ°	0GÿÿÐ	Gÿÿð	PHÿÿ 
IÿÿP
pIÿÿ¸
 JÿÿÐ
Kÿÿ`ÀMÿÿÀ`OÿÿQÿÿ`€Rÿÿ¨Tÿÿð€Uÿÿ`
`[ÿÿà
à[ÿÿ€^ÿÿHðxÿÿ˜P€ÿÿ¬ÿÿP Áÿÿ 
zR
x

$ÿÿ0FJw€?;*3$"D˜,ÿÿ\,ÿÿtˆ,ÿÿŒ€,ÿÿ¤x,ÿÿ¼p,ÿÿÔh,ÿÿEì ,ÿÿU
è,ÿÿ%
-ÿÿ%4
-ÿÿ!L
0-ÿÿ)d
H-ÿÿ|
P-ÿÿ”
H-ÿÿQ¬
-ÿÿ=Ä
¸-ÿÿ"Ü
Ð-ÿÿAô
.ÿÿ) .ÿÿI$X.ÿÿ
<P.ÿÿITˆ.ÿÿh
là/ÿÿv„H0ÿÿEDh
A¤x0ÿÿDY¼€0ÿÿDYÔˆ0ÿÿDYì0ÿÿDY˜0ÿÿDY 0ÿÿDY4¨0ÿÿDYL°0ÿÿDYd¸0ÿÿDY|À0ÿÿDY”È0ÿÿlD X
D,´1ÿÿ A†AƒD N
CAHäˆ1ÿÿ.üP ÿÿÇAƒÅ$€1ÿÿíAƒD a
AADH2ÿÿ&$\`2ÿÿ¤H0d
Lg
Qk„è2ÿÿqt]<œP3ÿÿ‘A†KƒD0x
AAFZ
FAGVAALÜ7 ÿÿ
BBŽE E(ŒD0†A8ƒG x
8A0A(B BBB$,„!ÿÿmA†AƒA dADdT83ÿÿWBBŽB E(ŒD0†D8ƒD
¹
8A0A(B BBBFO
8A0A(B BBBG”¼06ÿÿBDŽB B(ŒA0†A8ƒG`Æ
8A0A(B BBBEš
8A0A(B BBDB¸
8F0A(B BBBI\
8F0A(B BBBATÉ ÿÿšAƒD “A,tC!ÿÿnBŒD†A ƒaCB,¤h;ÿÿ²A†AƒD N
AAA,Ôø;ÿÿ²A†AƒD N
AAA,ˆ<ÿÿ²A†AƒD N
AAA4=ÿÿ_D q
ATX=ÿÿ_D q
A,t˜=ÿÿ²A†AƒD N
AAA,¤(>ÿÿ²A†AƒD N
AAAÔ¸>ÿÿ_D q
ADô1 ÿÿ
BBŽB E(ŒA0†A8ƒDPô8D0A(B BBB<°>ÿÿ¯<TH?ÿÿÚA†KƒD0r
AADj
AADZFAL”¤ ÿÿVBEŽB B(ŒA0†E8ƒG€
38A0A(B BBB\ä˜?ÿÿ½BŽBB ŒD(†D0ƒGP«
0A(A BBBH|
0C(A BBBALD	øAÿÿš
BBŒA †D(ƒGPd
(C ABBAy
(F ABBGL”	HCÿÿš
BBŒA †D(ƒGPd
(C ABBAy
(F ABBGDä	˜Dÿÿ€
BŽBB ŒD(†D0ƒGPR
0A(A BBBAD,
ÐEÿÿ€
BŽBB ŒD(†D0ƒGPR
0A(A BBBADt
Gÿÿ€
BŽBB ŒD(†D0ƒGPR
0A(A BBBA$¼
Ò ÿÿXA†FƒD0GDA|ä
HÿÿàBBŽE H(ŒA0†A8ƒKp
8A0A(B BBBG

8A0A(B BBBA|
8A0A(B BBBJ,dxMÿÿvA†DƒD h
DAA4”ÈMÿÿœA†AƒD@Ý
AAKP
AAFLÌ0PÿÿkBBŽB B(ŒA0†A8ƒD
U
8D0A(B BBBHdPjÿÿ^BBŽB B(ŒA0†D8ƒG``
8A0A(B BBBB\
8A0A(B BBBJL„Hqÿÿ5,BBŽE E(ŒA0†A8ƒG°-
8D0A(B BBBGLÔ8ÿÿBIŽB B(ŒD0†A8ƒJ€k
8A0A(B BBBED$
ø±ÿÿ
BŽYB ŒA(†A0ƒGÐ

0A(A BBBAGÐF
:
D
Tp9
”õ0-!8-!õþÿoð

@
Œ0!°À1Ðð	þÿÿo€ÿÿÿoðÿÿo”ùÿÿo
H-!¦9¶9Æ9Ö9æ9ö9::&:6:F:V:f:v:†:–:¦:¶:Æ:Ö:æ:ö:;;&;6;F;V;f;v;†;–;¦;¶;Æ;Ö;æ;ö;<<&<6<F<V<f<v<†<–<¦<¶<Æ<Ö<æ<ö<==&=6=F=V=f=v=†=–=¦=¶=Æ=Ö=æ=ö=>>&>6>F>V>f>v>†>–>¦>¶>À2!Plain SGD for generic loss functions and penalties.

    Parameters
    ----------
    weights : ndarray[double, ndim=1]
        The allocated coef_ vector.
    intercept : double
        The initial intercept.
    loss : LossFunction
        A concrete ``LossFunction`` object.
    penalty_type : int
        The penalty 2 for L2, 1 for L1, and 3 for Elastic-Net.
    alpha : float
        The regularization parameter.
    C : float
        Maximum step size for passive aggressive.
    l1_ratio : float
        The Elastic Net mixing parameter, with 0 <= l1_ratio <= 1.
        l1_ratio=0 corresponds to L2 penalty, l1_ratio=1 to L1.
    dataset : SequentialDataset
        A concrete ``SequentialDataset`` object.
    n_iter : int
        The number of iterations (epochs).
    fit_intercept : int
        Whether or not to fit the intercept (1 or 0).
    verbose : int
        Print verbose output; 0 for quite.
    shuffle : boolean
        Whether to shuffle the training data before each epoch.
    weight_pos : float
        The weight of the positive class.
    weight_neg : float
        The weight of the negative class.
    seed : np.uint32_t
        Seed of the pseudorandom number generator used to shuffle the data.
    learning_rate : int
        The learning rate:
        (1) constant, eta = eta0
        (2) optimal, eta = 1.0/(t+t0)
        (3) inverse scaling, eta = eta0 / pow(t, power_t)
        (4) Passive Agressive-I, eta = min(alpha, loss/norm(x))
        (5) Passive Agressive-II, eta = 1.0 / (norm(x) + 0.5*alpha)
    eta0 : double
        The initial learning rate.
    power_t : double
        The exponent for inverse scaling learning rate.
    t : double
        Initial state of the learning rate. This value is equal to the
        iteration count except when the learning rate is set to `optimal`.
        Default: 1.0.

    Returns
    -------
    weights : array, shape=[n_features]
        The fitted weight vector.
    intercept : float
        The fitted intercept term.

    Evaluate the derivative of the loss function with respect to
        the prediction `p`.

        Parameters
        ----------
        p : double
            The prediction, p = w^T x
        y : double
            The true value (aka target)
        Returns
        -------
        double
            The derivative of the loss function with regards to `p`.
        Format string allocated too short.ndarray is not Fortran contiguousNorm: %.2f, NNZs: %d, Bias: %.6f, T: %d, Avg. loss: %.6fNon-native byte order not supportedFormat string allocated too short, see comment in numpy.pxdFloating-point under-/overflow occurred at epoch #%d. Scaling input data with StandardScaler or MinMaxScaler might help.unknown dtype code in numpy.pxd (%d)/Users/ogrisel/code/scikit-learn/sklearn/linear_model/sgd_fast.pyxTotal training time: %.2f seconds.sklearn.linear_model.sgd_fastndarray is not C contiguous__pyx_releasebufferintercept_decaysample_weight__pyx_getbufferlearning_ratefit_interceptpenalty_typeclass_weightRuntimeErrorx_data_ptrweight_posweight_negq_data_ptr__pyx_vtable__n_featuresValueErrorx_ind_ptrthresholdplain_sgdn_samplesinterceptl1_ratiois_hingeinfinityweightsverboset_startsumlossshufflepower_tnonzerofloat64epsilondataset-- Epoch %dupdaten_iter__import__zerosshaperangeprintordernumpyepochdtypecountalphaxnnztime__test__seed__main__lossfileeta0sysetaendnpZgZfZdywutqplihgfdcbQOLIHCBÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿg!øe!`f!`f!h!Ðg!Ðg!f!ˆg!`g!g!h!hh!pg!ðg!Hg!°g!8f!˜f!¨f! f!(f!hg!Àg!ðf!xf!€g!hh!€A!

`h!±@!
Xh! =!y
Ph!`=!<
Hh!`<!#
@h! =!$
8h!à<!9
0h!¶?!


(h!À>!#
 h!`>!C
h!	@!

h!A!

h!rA!

h!©?!


øg!A!

ðg!©@!

èg!A!

àg!JA!

Øg!ú@!

Ðg!¡@!

Èg!FA!

Àg!=A!

¸g!8A!

°g!Ž?!

¨g!™@!

 g!hA!

˜g!Ë@!

g!X@!	

ˆg!<@!


€g!P?!

xg!O@!	

pg!F@!	

hg!€?!

`g!3A!

Xg!*A!	

Pg!þ?!

Hg!Ä@!

@g!2@!


8g!?!
0g! <!"
(g!‘@!

 g!NA!

g!ô@!

g!î@!

g!dA!

g!œ?!


øf!(@!


ðf!‰@!

èf!è@!

àf!p?!

Øf!0?!

Ðf!ï?!

Èf!bA!

Àf!ä?!

¸f!â@!

°f!`?!

¨f!%A!

 f!Ü@!

˜f!@!

f!ð>!

ˆf!y@!

€f!BA!

xf!`A!

pf!q@!

hf!A!	

`f!@!


Xf!A!

Pf!^A!

Hf! >!%
@f!½@!

8f!i@!

0f!\A!

(f!Ù?!

 f!Î?!

f!a@!

f!Ã?!

f!@!


f!A!

øe!ZA!

ðe!Ö@!



 ðJû&@
€Q!ðk°MÎù€\
ˆ
 ðJû&À
`S!pjÐMÎù@]

 ðJû&@
@U!ðhðMÎù^

ðJû&8
 W!NÎùÀ^
p
ðJû&˜
Y!PNÎù _
à
 ðJû&
àZ!PgpNÎù€_

 ðJû&0
À\!°eNÎù@`
@
ðJû&p
 ^!°NÎùa
p
ðJû& 
0N
Ø
ðJû&
M
8
ðJû&h
Àc!@MO÷ðbà:!Ý÷€Äà2!ÙùRGCC: (Ubuntu 4.8.4-2ubuntu1~14.04.3) 4.8.4¬PGA®À>LJ?
$Am‘Aš+Bn™B
¬CVFX¯

P0
0&É@§ZŠ4ÔBÛS
cÁ4àS
eaint3ƒ07„0S4-¬0£
l´º0ùF0ÀõFØõ@/öl“WûKFü[7ýE9þ hÿ(	·

0	jE

8	î7
@	R%
H	iW
P	ø1
X	«K
ˆ`	µ

Žh	X

lp	[
lt	¤Y
sx	T
P€	’a
^‚	Ç
”ƒ	Ý
¤ˆ	¨Y%
~	´J.
˜	z'/
 	»J0
¨	ÂJ1
°	ÉJ2
7¸	(94
lÀ	ê6
ªÄ
£P‰ºš < ˆ•+¡ˆÐ1¢Ž¦lWÀ
£¤‰P
£º‰À
£lԐ-f’
ll¢ZÖS
£‰l(¶
ªÉ? (CY·Ô¾=	jv`	k?È	k¾	ˆ
	D
	`	E
?	È	E
	
	E
?	Ç2	F
º	°a	G
? 	/	G
?(	S		K
t
0	ÍS	L
‘
8	ü
	M
Â
@		N
ô
H	a	O
+P	Y	P
7X	'A	T
`	ß3	U
"h	v	V
(p	ðH	Z
Cx		[
§€	Ý	\
7ˆ	58	]
è
	ÌN	^
˜	F4	a
. 	„\	d
0¨	õB	f
º°	ÜL	j
÷	¸	H	m
ÑÀ	A
	q
dÈ	B	t
?Ð	¾P	x
Ø	îO	y
݈	.9	|
qè	ÑL	}
|ð	—O	~
Ëø‘Q	

`	€
|
sP	
§
]`	‚
³
L	ƒ
? 
™	„
¿(
Ô5	…
ö0
ž/	†
Ë8
Ð	‡
W
@
¥	ˆ
ÑH
*	‰
|P
a9	Š
|X
)Y	‹
|`
N	Œ
|h
E	
|p
42	Ž
t
x
$J	‘
W€
v›+	lQ	nQ`	o?È	o
	o?Å	p$ˆ<	…gm|||Î	†“|§||Ò	‡²¸|Ñ|||Š?	ˆÜâlñ|h
	‰ü?|7	Š"l666|/	GM|a|?*	Žlr|‹|??ç^	‘–œlµ|?|â^	’ÀÆlä|??|ó	“ïõl|||/	%+?D|?,	ž%²9	ŸZ`?t|t?‚E	 …‹?¤|?wE`	¤A	buf	¥obj	¦|len	§?2	¨?ªB	ªl Õ	«l$<	¬(2	­t0!Q	®t8.6	¯t@o]	°A	HûW	²X
?Q	‰
·`	³¤àJ	µg	m	l†	|†	lQ	)T	¶—		­	|†	_b	׸	¾	lÒ	||V	ØÝ	ã	l÷	|p>	Ù

l!
|Ò	8
	Û3	ä‚z]	å‚'O	æ‚X*	ç‚è
	è‚  b	é‚(	ê§0ü+	ë\8ÖE	ì\@W	í\Hˆ"	îÑP¯?	ï\Xv	ð‚`¢Q	ñ‚hÃ	ò‚p´+	ó‚xl<	ô‚€a	õˆ#`	ö\^		÷\˜»=	ø\ ñ$	ù\¨zI	ú\°ø$	ü‚¸Äa	ý‚À±	þ‚ÈÙ0	ÿ‚Ð	—T	
‚Ø	_N	

§à	#
	
‚è	¹Y	
‚ð	p4	
‚øâM	
‚
:X	
‚
Ê		

‚
pO	
‚
åP	
‚ 
Â0	

‚(
+
	
\0
i	
!
P	
ª	P	
ñ		
‚	Ø	
<		
<	°Y	
a 	Þ	
‹(	ï
	
µ0	à	
­	8	“	
‚@	A	
<H4D	
	!
ç	òL	"
ñ	!	#
‚	‹	$
ä<[	%
¶0	'
K
	©	(
	
	)
D	ªA	*
O	¤(	+
z	T 	,
\	 	°S	-
Œ	(è.	.
óØN	1
c
i
t
1	2
€
†
‘
|L-	3

£
l¼
|¼
lµ?F	4
Î
Ô
|è
|"C	5
„	6
l||		7
ï[	8
¸	T&	9
g)F	:
OU0d|W	;
pv|||lW!	<
gý_	=
g-$	>
²é"	?
ïg	@
ïC	A
×Ý|ö||K8	B
|?ªçK
’ 
%qÕ?
&ºPB
'd/
(lÂ?
*º4”wê(ËRJget
setµdocü2 ‚š	›
vÄ@`?È<0†Jä†
'.-Y`?ȺX)5,(#µ`$?È$
$?™I%0¼&l Å'”$H1d ù`?È
?ˆù
|	‰ À(Y`?È
?ˆ6z\&? îW'1
’
,4oy€
­J€
Š`?È
?yLŠS<î& ][|(êR|0©O|8:	6@P6He1|P#M%|Xñ%|`@0%|hú7'pÊ#(lx¹?.l|1X/l€;50s'„i1ùx
‹¬›¡|µ|ÞK	ÀÆlß||Ñ_isPj–+j—6‘Ì[|5|_[| s.|(Ï"|0×|8á|@Ä=lHå_ts¨8‘–+;‘·<Ñ®J>ŠíS?liCleDl º3F¢(AJG¢0ZH|8¢8I|@•HK|HâL|PG'M|X%MO|`óP|hB0Q|p08S|xC[l€X]l„!_|ˆ=U`0ë6bl˜Xc| p³b%åÝ-­³lÑ|Šl|—Å
gpˆ÷ð¡
‰â×€
é`?Èló
l€/lV-l-%| àR|(¸N|0ñ_|8`|@èa|Ht|PÄ.|X®l`
`|ha p=|xaV¬†'}[
@aE¶4¯%1
Ir(W
0µ$”W07úgOW
Q	ûÖDýPÆA86	5%
/C8C%
G2«)µ]Ò\"%	O8UuJ¥/’?™Q€€Ô7’å#ý
,Ì0!®\
oSœÐA-$
G b' *
|	Ó+
´	¤3,
º	-.
ÀY/'
ˆ““;ø*(
¥“´“|™
Ð‰
’:a
Ü|𐐨b
ül|¶d
!Jl¡Hg
VplÊh
|ð\p
¤+q
¨lƐƐKs
Ø
„;v

,Q}
8lV¼
V\ %2`2E	`3?	È3	YV:ß	Û<£	Ë>£	½C£	/E£	½Gl	îIl 	ß@Kl$	Q±(	¯GW|0	»N\|8!fa·@	_c|H	_i“P	óHm&X»O
QloVo‚
{l”p „
{ß…
¬lʐƐø5
ÖlôÅ
Å.^‘
+ë?“
7Vî%•
bl”Æ0"x
Ÿ
Õ	’2¦
Õ	y®
ë¨	+¯
ñ°	G)µ
÷¸	*K¶
ýÀ	d¼
È	:-Â
	Ð	á"È
Ø	€LÏ
à	ËYÕ
è	‹"Ü
!ð	'â
'øˆOè
-
¤Oî
3
¡Oï
I 
}(÷
|8
Õþ
_@
úÿ
eH
X'äP
‡
kX
§q`
³wh
›8
	p

åå‰
ÐðJœÌ,EpoÊ
CC‰”
YY‰ ôä+V
7” ¯7p±	d7qÉ	2r|‰}&2n\½ žGP€^	`?	ȁ	_ƒ!nd…l	¢D‡Æ 	!QŒÆ(	d7Ÿ|0	´7¡É8	/£l@	@¥|H¡G¦Ï’<²^j(
y
Û!p
y
6!s
y
!n
y
Û	d2
y
º	

z
À 	b
z
À!	°
z
À"
?ÓY
z
|h
8^	RJ
9º	¯G
:“	
;7	!
<™	Õ
=lX	ï
>£\	;2
?£]	/
@l` ýS
B“	Ë
Cµ	RJ
Dº	©Y
E7^
7©‰­
A쩹A
F^
Gë	

Hë	Ì.
I7»­.
JÇH
K– 	d
L»	ž6
M– 	c
N7 	¾
O7(	´

O70	Ø@
P78	Ï/
Ql@	²O
R£D	T9
S£E	 
T£F	r<
U£GñD
Vý±V
–2 Y@@
f(!	`
g?	È
g	‰L
hw!!w
iv	Ï
j}! 	TX
k)(	å\
ll0	Œ
m)8 °W(
<w!!add
=ï#!dot
>$	UX
?)$	NX
@:$	
AO$ (!) 8
xì!	`
y?	È
y	‰L
z"	yS
{l	.

|v 	l
}ä(	Z2
~?0 E
N"	–+
O…$	ØJ
P›$ì! @
°O"	`
±?	È
±	‰L
²w" 
yw"	

zö$	Ù

{ö$O" fB
½˜"	N@
¾" ó
ɳ"	N@
Ê" ÚV
ÕÎ"	N@
Ö˜" h 
áö"	N@
â˜"	íK
ã) b8 
î#	N@
ï"	íK
ð) B
û9#	N@
ü˜" Í
T#	N@
}" €P 
z#	N@
}"!c
)  
 ¢#	N@
!}"	™4
") øH 
-Ê#	N@
.}"	™4
/)é#é#}!äl)´ Ê#)$é#}!älõ#)$é#)$:$é#/$)O$é#@$y$y$$eä}!}!ƒ!}!U$›$y$¨ ‹$ y
]¼$	N@
^ì! U
k×$	N@
lì!)ð$ð$))"×$ 
ˆ%	N@
‰O" 
–2%	N@
—O" DM
¤M%	N@
¥% ðE
²h%	N@
³% î3
Àƒ%	N@
ÁO" ç
Ξ%	N@
Ï% ]

ܹ%	N@
Ýü$ ¦
êÔ%	N@
ëü$ áN
øï%	N@
ùü$ ¬T

&	N@
ü$
Ÿ;&	2
 ?	!Q
 ?	.6
 ?<@
¡
&h
¢k&	b*
£7	q'
¤Q	°
¥G&Ð
¦¨&	‡
§¨&	_
¨	 

©®&k&
;&¾&‰Ñ
ªw&
@î&	ˆ
Al	
Bî&é
CÊ& Y
D5'	¸

El	 K
Fl	K
G5'ô&
h'Élè/l­]
lÒ';'
h'ƒ'‰BB2‹#96
Ý	l
Ä'$T
Ý	Ä'$$
Ý	)%ó
Þ	lÎ"#þF
l
($T
($$
)%ó
lö"#2#
µ
l
<($T
µ
<($Ÿ[
µ
)%ó
¶
lT##¯*
l
x($T
x($ÂX
)%ó

lz##Ž
3l
´($T
3´($ÂX
3)%ó
4l¢##
g)
@)$ï,
g}!$†K
gä$T
gl%
 
h)%Ô[
il%.\
j)%ó
k)%60
ll%¶G
ml&W5
©'T"
µ
.*$\
µé#$»+
µ}!$†K
µä$T
µl$\
µ)%.\
¶)%Ô[
·l%šF
¸l%@V
¹)%Ç
º}!%60
»)%¶G
¼}!%ÀG
½l%ÊG
¾l%ÔG
¿l%ÞG
À)%èG
Á)%òG
Âl&{5
W#èU
„ |
r*(t
„ ß(a
„ |(k
„ |)p
… r*)o
† |}"#	)
É |
¼*(t
É ß(a
É |(k
É |)p
Ê ¼*)o
Ë |˜"'°/
&
ô*$RJ
&º(obj
&|$Ë
&ß'¹_
b&

+(ch
b&£#s3
­&7
6+(ch
­&£$Ï/
­&l#çQ
Í&7
_+(ch
Í&£$Ï/
Í&l##
[&l
ˆ+(ts
[&ˆ+%-A
\&lº#}:
-&lª+)n
.&W#œ;
…*lD,(x
…*|%Ž
†*ß%ÁN
†*ß%;2
‡*ß*	,%÷
‹*0+%ÇN
‹*0*),%÷
º*0+%ÇN
º*0+)val
Û*l)tmp
Ü*|#2
&l’,(obj
&|$Ë
&ß$õ

&l$RJ
&º$©'
&l#jb
z(l¼,(obj
z(|$Ë
z(ß#D
{%|
æ,$RJ
{%|%C1
|%|# ,
®(|€-(o
®(|(i
®(?$–/
¯(l$·\
¯(l$i)
¯(l*K-)n
²(?+)r
´(|*g-)n
º(?+)r
¼(|+)m
Á("+)l
Ä(?'m#
ù(
Å-$Ë
ù(|$÷
ù(|(tb
ù(|$HX
ú(|&\Y
3)'¢I
œ
.$T
œv$a
Ϡ	%60
žl&i5
µ&r5
Ë'7(
“
-.$T
“|$a
“†	'Ü
)G.$¹0
)?,+
¨)#Ú
H+|’.$÷
H+l%Ž
I+ß%ÁN
I+ß%;2
J+ß#n
۝p0$XB
ÛÉ$©[
۝$†a
۝$Ú	
Ûä%a
ÜÉ%ã
Ýl%_-
Þl%pD
ß|%h9
à|%·:
á|%\
â|%ó
ã%60
å|%¶G
æ?%ÀG
ç|%ÊG
è|%ÔG
él%ÞG
êl%èG
ël%òG
ìl%üG
íl%
î0%#
ï%­X
ðl%²4
ñº%Ú.
òl&Í,
ƒ&«
T&
l&W5
‰*
0)tmp
|*0)tmp
'|*=0%å3
2|%
4?*O0)tmp
L|*a0)tmp
N|+)tmp
ë|#ó#
wl
²0$T
w|$a
w†	$Å)
wl%ó
xl'úO
#(Ì0(buf
#(†	#Ö$
*(lG1(buf
+(†	(obj
+(|$½!
+(µ$/
+(l(nd
,(l$’2
,(l$M	
,(– &\
H(+)ctx
;(œ ,$>
†(
#:
Æ+|’1$÷
Æ+0%Ž
Ç+’1%ÁN
Ç+’1%;2
È+ß
0#†(
m,|Ù1$÷
m,W%Ž
n,Ù1%ÁN
n,Ù1%;2
o,ß
W'`
ê(2$Ë
ê(6$÷
ê(6(tb
ê(6%ü7
ì(#E\
"|
É6$Æ
"|$ª
"v$Ú
")$Ý5
"ð$$/
"l$NY
")$W
")$ÉV
")$Øa
"y$$j
"l$êA
"l$

"l$M
"l$I
"¨ $Ý'
")${
")$ö"
"l$c!
")$@
")$\
")$Ø
")%íC
#?%­8
$?%\
%é#%ï,
&}!%†K
'ä%¿1
(l%T
)l% 
*)%è[
+)%Ë6
,)%ŽG
-)%$\
.)%ZH
/)%
C
0)%ê5
1W%èY
2W%¾Z
3W%Ð
4l%ò[
5v%»+
6}!%\
7)%5
8|%=Q
9¾&%-
:k&%q?
;¾&%Ó

<k&%ó
=|%60
??%¶G
@|%ÀG
A|%ÊG
Bl%ÔG
Cv%ÞG
D|%èG
E|%òG
F|%üG
Gl%
H|%#
I|%.
J|%9
KW%D
LW%O
M)%Z
N)%e>
O)%e
P|%p
Ql%ù
Rl%­X
Sl%²4
Tº%Ú.
Ul&Í,
ý&X
&µ
&œ
 &v
&¿
2&É
–&Ó
·&ÎI
Õ&ó	
T&é	
W&ý	
v&

Ÿ&¯'
¢& 
W&³
]&Z
b&{
&{5
¦&W5
&`5
*:6%G	
`É6*L6%G	
	É6*^6%G	
RÉ6*p6)tmp
b|*¢6%a
Ì*“6%S
ï÷+%S
ë÷+%k;
|%a
|%Þ
|
ñÙ6‰#a

ï|
O7$T
ï´(%ó
ð|%60
ò|%¶G
ó|%­X
ôl%²4
õº%Ú.
öl&Í,
&W5
"#É-
¾|
Å7$T
¾x(%ó
¿|%60
Á|%¶G
Â|%­X
Ãl%²4
ĺ%Ú.
Ål&Í,
ì&W5
ñ#AC
—|
;8$T
—<(%ó
˜|%60
š|%¶G
›|%­X
œl%²4
º%Ú.
žl&Í,
Å&W5
Ê#?
I
|
¥8$T
I
¥8%ó
J
|%60
L
|%­X
M
l%²4
N
º%Ú.
O
l&Í,
o
&W5
s
9##¬Q
À|
9$T
À9%ó
Á|%60
Ã|%­X
Äl%²4
Åº%Ú.
Æl&Í,
æ&W5
ê##!
Ä|
‘9$T
Ä(%ó
Å|%60
Ç|%¶G
È|%­X
Él%²4
ʺ%Ú.
Ël&Í,
ò&W5
÷#¢R
’
|
:$T
’
Ä'%ó
“
|%60
•
|%¶G
–
|%­X
—
l%²4
˜
º%Ú.
™
l&Í,
À
&W5
Å
#S
i	|
q:$T
i	q:%ó
j	|%60
l	|%­X
m	l%²4
n	º%Ú.
o	l&Í,
	&W5
“	³"#>H
®%l
m;$,X
¯%|$þ8
°%m;$f,
±%|$

²%6$@
³%?$†
´%º)key
¶%|%÷
¶%|)pos
·%?%RJ
¸%m;%½
¹%m;&]
ÿ%-bad
&&¾

&&cP
&*>;%C^
Î%m;*P;)cmp
Ü%l+%C^
ê%m;+)cmp
ì%l6#K^
J,l
¡;(f
J,|(o
J,|&Ö,
Z,'?
1&
Ó;(ctx
1&Ó;$M	
2&– $Ë
3&µœ #‘E
‚l
S=$T
‚v$a
‚†	$Å)
‚l%sa
ƒl%¾Z
„l%Í
…l%ã
†l%_-
‡l%\
ˆl%©[
‰%XB
ŠÉ%Ú	
‹l%›]
Œl%ó
l%60
l%¶G
l%ÀG
‘l%ÊG
’|%ÔG
“l%ÞG
”l%èG
•l%òG
–|%üG
—%­X
˜l%²4
™º%Ú.
šl&W5
~&r5
è&Í,
t&„5
—&ª
ÿ&`5
ƒ#
Þ)l
‰=(obj
Þ)|$a,
Þ)†	$/
Þ)l#Ð^
å.l
¥=(t
å.¥=à#\
*|
?>$RJ
*|$ç_
*|$¯]
*l%—U
*|%Ë\
 *|%)8
!*|%áI
"*|%ì_
#*|%

%*|-bad
g*+%Ï
S*|.]&
n)PG
œ³>/T
nð$
U0è[
n)/$\
n)
b1ó
o)2W5
„PG.ï:
)`G
œ'?/T
ð$
U0è[
);/$\
)
b1ó

)2W5
`G.8
")pG
œ›?/T
"r*
U0è[
")v/$\
")
b1ó
#)2W5
8pG.M
D)€G
œ@/T
Dr*
U0è[
D)±/$\
D)
b1ó
E)2W5
Z€G.^
f)G
œƒ@/T
f¼*
U0è[
f)ì/$\
f)
b1ó
g)2W5
|G.³B
ˆ) G
œ÷@/T
ˆ¼*
U0è[
ˆ)'
/$\
ˆ)
b1ó
‰)2W5
ž G."_
ª)°GE
œ‚A/T
ªq:
U0è[
ª)b
/$\
ª)
b3.\
«)°
3ó
¬)ï
%60
­l2W5
֮G.
+
	)HU
œB/T
	q:
U0è[
	)80$\
	)†3.\
	)ì3ó
	)\%60
	l2W5
P	H.Ù


)`H%
œœB/T


Ä'
U0è[


)¥0$\


)à3.\

)3ó

)%60

l2W5
7
€H.¨

C
)H%
œ'C/T
C
Ä'
U0è[
C
)Ã/$\
C
)
b3.\
D
)þ3ó
E
)†%60
F
l2W5
y
°H.û
3)ÀH!
ϨC/T
3(
U0è[
3)¼/$\
3)
b4.\
4)
c4ó
5)
a%60
6l2W5
ißH.#P
u)ðH)
œ7D/T
u(
U0è[
u)÷0$\
u)24.\
v)
c4ó
w)
a%60
xl2W5
«I.eZ
ø) I
œ¦D/T
ø¥8
U0è[
ø)m/$\
ø)
b3ó
ù)»2W5

0I.*W

)@I
œE/T

¥8
U0è[

)/$\

)
b3ó

)?2W5
0
@I.Z^
Ù
)PIQ
œ²E/T
Ù
<(
U0è[
Ù
)|0$\
Ù
)Ê3ü[
Ú
)3Ú/
Û
)Y3ó
Ü
)%60
Ý
l2W5
oI.z9
')°I=
œOF/T
'<(
U0è[
')Å0$\
')	3ü[
();	3Ú/
))­	3ó
*))
%60
+l2W5
~ÙI.k*
0)ðI"
φF/T
0x(
U0è[
0)_
0$\
0)š
399
1)Õ
4ó
2)
b460
3)
b2W5
V
J.Á`
b) JA
œWG/T
bx(
U0è[
b)ø
/$\
b)
b3ó
c)^%60
dl2W5
¥=J.Å<
W)pJ)
ωG/T
W´(
U0è[
W)0$\
W)¼499
X)
b4ó
Y)
a460
Z)
a2W5
}—J.Š
‰) JI
œoH/T
‰´(
U0è[
‰)÷0$\
‰)ˆ3.\
Š)Ã3ó
‹) 
%60
Œl2W5
ÖÐJ5ü
: ðJ

œ­H6o
: |i
7ýJ8
Uó
U.;T
L&lKI
ϞH9ts
L&ˆ+
U3¸

M&l¢
:t
N&ºï
.WJ
f&ºPKh

œ9I9ch
f&£
U/Ï/
f&l
T.†N
C.lÀLv
œ¸I/K
C.5'
U0¸

C.l8/ˆ
C.l
Q3,3
D.l¬:mid
D.l÷:end
D.li.“"
, |@ME
œJJ6t
, ßÇ6a
, |<6k
, |ž:p
- ð$:o
. |#;XM:J8
Uó
U8
T
0<ƒM8
Q
0=.*M
œ´J>?*Y>I*’>S*Ë?]*@g*
PA™M¸I8
Uó
U8
Tó
T8
Qó
Q.&]
#|°M
œ’K6t
#ß'6a
#|`6k
#|™:p
#´(Ò)o
#|B.*´M

#>S*™>I*`>?*'C´M
?]*Ò@g*
PA¹M¸I8
Uó
U8
Tó
T8
Qó
Q.
Ê"|ÐM
œpL6t
Ê"ßõ6a
Ê"|.6k
Ê"|g:p
Ë"x( )o
Ì"|B.*ÔM

Ì">S*g>I*.>?*õCÔM
?]* @g*
PAÙM¸I8
Uó
U8
Tó
T8
Qó
Q.<
€"|ðM
œNM6t
€"ßÃ6a
€"|ü6k
€"|5:p
"<(n)o
‚"|B.*ôM

‚">S*5>I*ü>?*ÃCôM
?]*n@g*
PAùM¸I8
Uó
U8
Tó
T8
Qó
Q.ö.
6"|N
œ,N6t
6"ß‘6a
6"|Ê6k
6"|:p
7"¥8<)o
8"|B.*N

8">S*>I*Ê>?*‘CN
?]*<@g*
PAN¸I8
Uó
U8
Tó
T8
Qó
Q=x*0N
œ–N>‰*_>“*˜>*Ñ?§*
@±*
PA9N¸I8
Uó
U8
Tó
T8
Qó
Q.ë;
ì!|PN
œtO6t
ì!ß-6a
ì!|f6k
ì!|Ÿ:p
í!9Ø)o
î!|Bx*TN

î!>*Ÿ>“*f>‰*-CTN
?§*Ø@±*
PAYN¸I8
Uó
U8
Tó
T8
Qó
Q.n
¢!|pN
œþO6t
¢!ßû6a
¢!|46k
¢!|m:p
£!(¦Do
¤!|
PAyN¸I8
Uó
U8
Tó
T8
Qó
Q.*b
X!|N
φP6t
X!ßÉ6a
X!|6k
X!|;:p
Y!Ä't)o
Z!|Bx*”N

Z!>*;>“*>‰*ÉC”N
?§*t@±*
PA™N¸I8
Uó
U8
Tó
T8
Qó
Q.V$
!|°N
ϼQ6t
!ß—6a
!|Ð6k
!|	:p
!q:B)o
!|Bx*´N

!>*	>“*Ð>‰*—C´N
?§*B@±*
PA¹N¸I8
Uó
U8
Tó
T8
Qó
Q5©@
ˆ%ÐNl
œsR0MJ
‰%ºe0©'
Š%lÄ0(
‹%?0L
Œ%?o0J&
%?Î3µ0
%?.3AG
%ºdA(O#
8
T	 
8
Qó
U8wó
X5
ô&@O 
œ%S6ctx
ô&Ó;‡EåR3

'ëü3ý
'ëFgOûHGO#
C O@3¹0
ö&ºV3 N
÷&ºyF¹OûH#¼
F/lMS(x
F/|%&-
G/l=%SàO.
œS>6Sœ?@SÕHP>
8
Uó
U.Ü,
K/|À>Ç
œdT6x
K/|ý:m
L/_3RJ
M/º•:res
N/|Fõ>T
F
?j
IL?#
'T8
T	X
;[?;T8
UsFd?€
A‚?‹
8
T	ëö#¦$
é*2þT(x
é*|%Ž
ê*þT%ÁN
ê*þT%;2
ë*ß*ÃT%÷
ï*0+%ÇN
ï*0*ãT%÷

+B+%ÇN

+B+)val
?+2)tmp
@+|
2=dTPí
œ[V>uT‰JTK‹TK—T
E@tU?¨TfCpP)?µTÇF”P‹
LFP*âU?ÈTëLUPÌU?ÕT! AkP‹
8
T	¸
AKP¡
8
Uó
UL·PF?V?äTE ?ðT| F¼PSIÓPdT.V8
Us<ôP8
UsA¯P‹
8
T	ˆ
#q
I|V(obj
I|$•
I|)tp
Jß=[VQ&
œW>lV² >xV=!?„VÝ!MQâV8
Uó
U8
Tó
TM!QùV8
Tó
T#$G&Q¶
.¸%
\)0Q¤
ϡW0T
\9&"0è[
\)ˆ"0$\
\)Ã"3.\
])5#3ó
^)$%60
_l2W5
§PQFrQÑ
F¼QÑ
.c
)àQq
œfX0T
9Y$0è[
)»$0$\
)ö$3.\
)\%3ó
)ÿ%%60
l2W5
PüQF%RÑ
G6Ræ
GQRÑ
.ª3
¬)l`R‘
œ%Y008
¬)|"&0è:
¬)À&:ob
®)|'-bad
¸)IuRû
âX8
Uó
T8
T
08
Q
0IR
Y8
Uv8
Qs;ÆRY8
Us<æR8
Us#ê
ð-|
cY$RJ
ð-º%^T
ñ-|%È\
ò-|-bad
ù-.õ

.߇?

œó[0‚

.ºh'0›$

.º´'0
.7(0î&
.l8(3È\
.|„(3C1
.|ã(3^T
.|z)4“$
.ó[‘ð}3³a
.?*-bad
<.N%Y¹?+
.´Z>6Y]*C¹?+?BY©*?NYó*OZYä?I¾?9
ŠZ8
U|IÒ?N
¢Z8
Us<ä?8
UsIõ?9
ÌZ8
U}I@¶
êZ8
Uv8
Ts;@þZ8
Us;.@[8
UvIb@#
=[8
T	è
8
Q|8
R}I˜@c
t[8
Us8
TÈ8
Q	
8
R|8
X}I¤@„
–[8
U
08
Ts8
Q
0IÕ@#
Á[8
T	H
8
Q|8
R};ç@Õ[8
UvF
A£
<A8
U
£\‰Ç.”3
½)$Am
œ×\008
½)|P+:ptr
¾)‰+:ob
¿)|¿+Pbad
Ë)ŠAI3A¨
}\8
Uó
UIEAÃ
š\8
Us8
T
0FRA€
ImA‹
Æ\8
T	€
<†A8
Us#ø

X.î&

]$ˆ
X.l%
Y.î&)pos
Z.l#“
•.î&
{]$ '
–.º$°

–.l$9C
—.l$w
—.º%K
˜.î&%Ó)
™.|%'
š.|-bad
Ä.'°-
f.
ã]$ˆ
f.l$
f.î&)pos
g.l)i
g.l%K
h.5'*Ô])tmp
z.î&+% 
€.lQD
É.SW
œRa0 '
É.º,0°

É.lõ,09C
Ê.lÏ-0w
Ê.º}.3K
Ë.î&I/3¦F
Ì.|¦/3«J
Í.Ra0-bad
à.R×\ Sp
Î.Ó^>è\ˆ0Sp?ô\÷0?]1AXS9I8
Us8
T8
Q~R
]T 
Ð.`TB]‘¸>6]=1>*]t1>]«1S ?N]I2?Z]ô2?f]‹3Ur]IT9
N_8
U‘¸I(T9
f_8
UvIvTÝ
¡_8
U
08
T
08
Q
08
R
08w ~8w(s8w0|;“Tµ_8
Us;zUÉ_8
U~IÂU9
ã_8
U‘¸AòU3

8
U	÷8
Tv8
Q	¨
8
R}R{]ŸTà
Ó.þ`>”]#4>ˆ]l4Sà? ]È4?¬]5?¶]G5L€U8¤`?Õ]É5A“UI

8
Us8
T
 $ &4$L9VÃ`?Ç]ì5IÒT9Iç`8
Us8
T8
Q}AVc

8
U
FŠSx

I¦S

)a8
Tv8
RsIºS±

Aa8
Us<
T8
Uvƒ'#>
ß&£
a(ch
ß&£$Ï/
ß&l#`
&7
ªa(ch
&£$Ï/
&l#G;
~&7
Óa(ch
~&£$Ï/
~&l.3
'l`V
œ e6ctx
'Ó;6%ó

'£3
'7é63©Y
'7k73!
'7¡7E0
„b:i
'lž83Õ
'lÂ8Ai\#
8
T	ø
RXaòVp

''ìb>ta49>ia’9Bô*ÖY
ï&>
+Û9AîY#
8
T	
SÀ
3

)'ëþ93Ë
*'µò:Ra“W`
,'<c>at;>’aª;RªašW 
.'Ãc>Æaà;>»a<Nô*`Y+
Œ&§c>
+&<A‡Y#
8
T	
AEZ‹
8
T	H
LsX1éc3Ì.
b'7I<E×d%b
1'73]
2'7œ<R
+ÔX`
1'vd>)+¿<>+#=Bô*ˆ[
»&>
+©=A¤[#
8
T	
V6+[À
7'>R+á=>G+E>Bô*
\+
Û&W
+A5\#
8
T	
LqZ/ýd3Ì.
<'7¶>F0W#
AØ[sR8
Us=ª+‘Aš
œ}f>»+Ù>XÅ+XÑ+XÝ+C–AX*,?6,?Nª+£A\
Þ*Rf>»+n?C£A\?Å+¤??Ñ+É??Ý+É?LµAâe?î+í?ECf?,@LßA.f?,3@AõA‹
8
T	à
AÔAÆ

8
UsFÿA eI›ASkf8
Uó
U<B8
Us=’,+Bn
œg>¯,W@T£,ú£,ŸLnB$ìfW£,>¯,£@A’B#
8
T	
IOB‹
g8
T	
÷FhBÛ

.3K
ä|€\²
œph0T
ä|Æ@0:$
ä|ÿ@3ó
å|8AVÙ6†\@
è>ê6Æ@S@?ö6„A?7öA?7¡B?7&C?&7tC?27ÈCU>7OF7Ü\F\ö

I¢\
ùg8
U
1I¸\
h8
U
2Iö\ã]Ih8
U	(
8
Tv8
Q
I
8
R	!÷;]]h8
Us<+]8
Uv.®
³|@]²
ςi0T
³|,D0:$
³|eD3ó
´|žDVO7F]p
·>`7,DSp?l7êD?x7\E?„7F?7ŒF?œ7ÚF?¨7.GU´7O¼7œ]FP]ö

Ib]
Pi8
U
1Ix]
gi8
U
2I¶]ã] i8
U	p
8
Tv8
Q
,
8
R	!÷;Ø]´i8
Us<ë]8
Uv.Ñ
Œ|^²
œk0T
Œ|’G0:$
Œ|ËG3ó
|HVÅ7^ 
>Ö7’GS ?â7PH?î7ÂH?ú7mI?8òI?8@J?8”JU*8O28\^F^ö

I"^
§j8
U
1I8^
¾j8
U
2Iv^ã]÷j8
U	°
8
Tv8
Q

8
R	!÷;˜^k8
Us<«^8
Uv.P
>
|À^_
œ(l0T
>
|øJ0:$
>
|1K3ó
?
|jKV;8Ä^Ð
B
>L8øJSÐ?X8¢K?d8íK?p8KL?|8˜L?ˆ8ìLO”8_Oœ8ñ^IÎ^
ðk8
U
2A_ã]8
U	à
8
T
Z
8
Qí8
R	!÷.¯;
µ| __
œ2m0T
µ|:M0:$
µ|sM3ó
¶|¬MV«8$_
¹>¼8:MS?È8äM?Ô8/N?à8N?ì8ÚN?ø8.OO9s_O9Q_I._
úl8
U
2Ax_ã]8
U	
8
T
Ñ8
Qá8
R	!÷.Š
¹|€_²
œˆn0T
¹||O0:$
¹|µO3ó
º|îOV9†_0
½>,9|OS0?89:P?D9¬P?P9WQ?\9ÜQ?h9)R?t9}RU€9Oˆ9Ü_F_ö

I¢_
n8
U
1I¸_
)n8
U
2Iö_ã]an8
U	H
8
Tv8
QÈ8
R	!÷;`un8
Us<+`8
Uv.
‡
|@`²
œÞo0T
‡
|áR0:$
‡
|S3ó
ˆ
|SSV‘9F``
‹
>¢9áRS`?®9ŸS?º9T?Æ9¼T?Ò9AU?Þ9ŽU?ê9âUUö9Oþ9œ`FP`ö

Ib`
ho8
U
1Ix`
o8
U
2I¶`ã]·o8
U	€
8
Tv8
Q¨8
R	!÷;Ø`Ëo8
Us<ë`8
Uv.Ó9
^	|a_
Ϗp0T
^	|FV0:$
^	|V3ó
_	|¸VV:a
b	>:FVS?$:ðV?0:;W?<:™W?H:æW?T::XO`:SaOh:1aIa
°p8
U
2AXaã]8
U	°
8
T
z	8
Qˆ8
R	!÷=«=™B

œSr>¼=ˆX>È=ÀX?à=5Y?ì=¦Y?ø=Z?>ˆZ?>ùZ?>/[U(>YÔ=L	CHÛq?1>‹[IC 
Œq8
U	ÿI=C5
Êq8
Uv8
T‘¸8
Q~8
Rs8
X}8
Y8w
0<OC8
UFÂB[VIÝBL
r8
U|FôBx

F
Ca
;pC.r8
Uv;†CBr8
U|<šC8
Us=¡;`a¯
œ†rT®;
UTº;
T>Æ;Ô[#¼&
á+|
¢r)f
â+|=s;bÚ
œÙs>Ž;&\O˜;˜b>„;Ä\R†rbÀ
L,>sSÀ?—r5]I%bl
!s8
U	D÷AÞb‹
8
T	;÷I?b
[s8
Us8
T
0IRb›
€s8
U	K÷8
TsIfbµ
£s8
Uv8
Ts8
Q
1Iyb›
Ès8
U	M÷8
Ts<ºb8
Us'J
¡%
ÿs$MJ
¢%º$%
£%|=w:¬CV
œøu>ˆ:¤]>”:ð]>¬:·^>¸:ï^>Ä:(_@Ð:‘¨@Ü:‘°@è:‘¸?ô:`_?;E`O;¤EU;O;ÓEO$;0EZ :L´D6Òt?1;„`FÜDÔ
Eÿt?C;§`FUEî
FcE€
E0Gu?Q;Þ`CwE-?^;aFŒEî
F•E€
NÙs¤E*
&u>òs7a>æs[aF®E	
FÎE#
I	D
ºu8
U8
T|8
Q}8
R~F…DÔ
F:E	
AðE#
8
T	X
8
Q‘˜#NG
Î|
zv$T
Îð$$è[
Î)$$\
Î)%ó
Ï|%60
Ñ|%­X
Òl%²4
Óº%Ú.
Ôl&Í,
î&W5
ò.Ù
“|ðb½
œÒy0T
“|€a0«<
“|Ab0&X
“|òb3è[
”)³c3$\
•)ýc3­X
–lHd3²4
—ºÓd3Ú.
˜lse3ó
™|f2Û
Àd2X
 d2§
ƐcE`žx4ö8
Òy	àA!4

žây‘@E°ix3Ð@
 ?`f3”@
¡ÛÑfIêcB
Ëw8
U|Iod\
ãw8
U|IdB
ûw8
U|Ipeÿs9x8
U|8
T	àA!8
Q‘@8
R}8
X	O÷A£eºQ8
U	O÷8
T
18
Q
28
R
28
X
1FRcq
Fycq
Fïd€
Fe€
Røucð
Çuy>!vg>v=g>	v`gSð?-v¬g?9v÷g?EvUh?Qv¢h?]vöhOivÑdOqvµd;žc1y8
UvF£cö

AÖdã]8
U	€
8
T
ß8
QQ8
R	!÷IdºQ£y8
U	O÷8
T
18
Q
28
R
2A8dã]8
U	€
8
QB8
R	!÷
6ây‰
|òy‰
.ÞD
£	l°eš

œ~|0T
£	|Di0«<
£	|+j0&X
£	|ßj3$
¤	)Æk3­X
¥	ll3²4
¦	º‡l3Ú.
§	lm%ó
¨	l2Û
Ï	0f2X
Ñ	Jf2§
Õ	fE ×{4ö8
¬	~|	B!4

­	ù‘@E`¼{3Ð@
¯	?–m3”@
°	ÛòmLûfQ{3÷
º	|;nA
gB
8
UsI²f\
i{8
UsIóf\
{8
UsA8gÿs8
Us8
T	B!8
Q‘@8
R|8
X	U÷F
fq
FÒf€
NŽ'f
Ö	!|>Ÿ'rn>«'«nCf?·'ÎnIEfºQO|8
U	U÷8
T
08
Q
08
R
1Abfã]8
U	¸
8
Q˜8
R	!÷
6Ž|‰
.µ(
Õ
lPgš

œ0T
Õ
|òn0«<
Õ
|Ùo0&X
Õ
|p3$
Ö
)tq3­X
×
l¿q3²4
Ø
º5r3Ú.
Ù
l¹r%ó
Ú
l2Û

Ðg2X
êg2§
»gE s~4ö8
Þ
~|	B!4

ß
ù‘@EàX~3Ð@
á
?Ds3”@
â
Û sL›hí}3÷
ì
|ésAªhB
8
UsIRh\
~8
UsI“h\
~8
UsAØhÿs8
Us8
T	B!8
Q‘@8
R|8
X	U÷F­gq
Frh€
NÊ'»g
½~>Û' t>ç'YtC»g?ó'|tIågºQë~8
U	U÷8
T
08
Q
08
R
1Ahã]8
U	è
8
Q¸8
R	!÷."
ƒ
lðh€

œ„0T
ƒ
| t0«<
ƒ
|qu0&X
ƒ
|Ðu3Ÿ[
„
)¡v3­X
…
lìv3²4
†
ºvw3Ú.
‡
lx%ó
ˆ
l2Û
§
 i2X
©
Ài2§
­
JiE ݀4ö8
Œ
~|	 B!4


ù‘@E`€3Ð@

?­x3”@

Û	yIoi\
W€8
UvIiB
o€8
UvI-j\
‡€8
UvAbjÿs8
Uv8
T	 B!8
Q‘@8
R}8
X	U÷F<iq
Fói€
N(Ji
®
'>(?y>#(byCJi?/(…yI»iºQU8
U	U÷8
T
18
Q
18
R
1AØiã]8
U	 	
8
Qû8
R	!÷.N
Úlpj€

œïƒ0T
Ú|©y0«<
Ú|zz0&X
Ú|Ùz3ÂX
Û)ª{3­X
Ülõ{3²4
ݺ|3Ú.
Þl}%ó
ßl2Û
þ k2X
@k2§
ÊjEGƒ4ö8
ã~|	0B!4

äù‘@EÐ,ƒ3Ð@
æ?¸}3”@
çÛ~Iïj\
B8
UvI
kB
ق8
UvI­k\
ñ‚8
UvAâkÿs8
Uv8
T	0B!8
Q‘@8
R}8
X	U÷F¼jq
Fsk€
NB(Êj
‘ƒ>S(J~>_(m~CÊj?k(~I;kºQ¿ƒ8
U	U÷8
T
18
Q
18
R
1AXkã]8
U	P	
8
Q

8
R	!÷.QR

lðk€

œZ†0T

|´~0«<

|…0&X

|ä3ÂX
)µ€3­X
l3²4
ºŒ3Ú.
l$‚%ó
l2Û
% l2X
'Àl2§
+JlE	²…4ö8

~|	@B!4

ù‘@E@	—…3Ð@

?Â3”@
ÛƒIol\
,…8
UvIlB
D…8
UvI-m\
\…8
UvAbmÿs8
Uv8
T	@B!8
Q‘@8
R}8
X	U÷F<lq
Fól€
N~(Jl
,ü…>(Uƒ>›(xƒCJl?§(›ƒI»lºQ*†8
U	U÷8
T
18
Q
18
R
1AØlã]8
U		
8
Q
7
8
R	!÷#?

‹(|Š†(o
‹(|(j
‹(|)r
Œ(|=æ,FX
œT‡>÷,¿ƒT#-ú#-ŸT-ú-ŸT-ú-ŸZ
-RZ†Fp	
Ö(@‡>u†„>k†T„Sp	?†„I%F¨
.‡8
Uv8
Ts<CF8
UsAF†
8
U
0#g
s'|«‡(ctx
s'Ó;(tsp
s'ˆ+)ts
u'º)i
v'l%-A
v'l%Õ
w'l.^
ž'ºpmà
œt‹6ctx
ž'Ó;ׄ6ts
ž'ºˆ…3ÂM
Ÿ'l«…E 	‚ˆ4-A
(l
PV_+Žm0

(>p+†S0
?{+ȠE`
iˆ>p+ñ†S`
X{+Fr#
AÂn­H8
U‘˜RT‡“m

(Š>q‡‡>e‡‡S
?}‡þ‡?ˆ‡!ˆ@’‡
P?ž‡¥ˆR_+“m
…'N‰>p+‰S?{+p‰Løq8‰>p+̉CøqX{+A)n­H8
UvIïmÓaf‰8
U~I~r‹
…‰8
T	H

I¹r#
¤‰8
T	è

Iør#
ɉ8
T	
8
RIs#
è‰8
T	¸

AIs‹
8
T	@
LpX?Š3ß@
ã'7ï‰ApÓa8
U~Nô*šp
ù'eŠ>
+ŠEPøŠ3ú=
Ê'º7Š:i
Ë'7“Š3U8
Ë'7ʊ3Ø@
Ì'7‹IàpÓaĊ8
U~I:q«‡܊8
U~A,s‹
8
T	

IënÓa‹8
U~IŠoÓa(‹8
U~IÀoÓa@‹8
U~I†q‹
_‹8
T	Ø	
A8rsR8
U~=¼,Psv
œgŒ>Í,‹XÙ,R[V`s
|%Œ>xVü‹>lVHŒS?„V‘Œ;usé‹8
Tv;–sý‹8
Tv$AÁs¶
8
TvC›s>Í,ڌC›sXÙ,A·s#
8
T	^÷8
Qv$'Ý&
Ù(Ȍ$Ë
Ù(|$÷
Ù(|(tb
Ù(|%#
Û(|%€
Û(|%?4
Û(|%ü7
Ü([€-Ðsœ
œ$Ž>-ýŒT°-ú°-ŸO¼-dt>¥-±>™-9ŽRgŒtuÐ
1)™>ŒŒN>€Œ>tŒ/SÐ?—ŒS?£Œ‰?¯Œ¿?»Œõ;áu‡8
Us<Rv8
UvIdt‹
¸8
T	p
IEu‹
׍8
T	 
Itu›
û8
U‘H8
T‘P8
Q‘XF"vÛ

A@v‹
8
T	Ø
'ËA
¢)>Ž$.

¢)?#
S(|‹Ž$P8
S(|(arg
S(|(kw
S(|%C1
T(|%	
U(§[’.pvk
œ€¢>¯.+>».â•>Ç.B–T£.ú£.ŸT£.ú£.Ÿ?Ó.?¢Kß.
Kë.
?÷.ţ?/c¥?/ž¦?/
¨?'/â©?3/+ª??/òª?K/ù«?W/ú·Xc/?o/’Â?{/üÉX‡/X“/?Ÿ/pÊ?«/4Ë?·/}Ë?Ã/mÌ?Ï/ÍUÛ/Oã/ª|Uë/Oó/5yEď?0qÎE@ç?0§Î<¸{8
U|Ep‚?$0)Ï?00§ÐR$Ž°à
:?>1ŽÑAç#
8
T	p
B-.ò‚+
9>:.>ÑAƒ#
8
T	@
8
Q
2E 
•?B0bÑEP
¨?T0˜ÑRP.»w€

Xø>a.ÎÑS€
?m.òÑ?y.¿Ò?….¿ÒFÄw 
Rª+ñw°

]ȑ>»+ƒÓS°
?Å+QÔ?Ñ+Õ?Ý+ÕLxX‘?î+âÕEð
¹‘?,ÖL™„¤‘?,(ÖA¯„‹
8
T	à
AŠ„Æ

8
UF9‡ eR>Žbx 
š’>gŽLÖ>[ŽÀÖ>OŽ/×S ?rŽ‹×?~ŽÁ×;¢x1’8
Us8
T}8
Q
0F"ƒ€
I=ƒ‹
]’8
T	¸
I
„¶
|’8
U	˜
Af„Ë
8
Us8
T}8
Q
0R%Sðy€
­â’>6S0ØS€?@SÙAxz>
8
U~RP. zÀ
©2“>a.QÙSÀ?m.tÙ?y.,Ú?….,ÚF(z 
RP.î{ð
é‚“>a.ÜÚSð?m.Û?y.¦Û?….¦ÛF÷{ 
E §“?b0BÜ<’}8
U‘ R%Sw|P
ì“>6S"ÝSP?@SXÝAÊ|>
8
UR%S5}
#1”>6S˜ÝS?@SÎÝA(>
8
U~R>Ž~Ð
i•>gŽÞ>[ŽZÞ>OŽ£ÞSÐ?rŽÿÞ?~Ž5ß;S~š”8
Us8
T}8
Q
0IhĦ
¹”8
U	˜
F”ƒ€
I¯ƒ‹
å”8
T	¸
AH„Ë
8
Us8
T}8
Q
0R%SŸ0
5K•>6S¤ßS0?@SíßA€>
8
UR>Ž.€p
ÿ –>gŽ-à>[Žeà>OŽ›àSp?rŽäà?~Žá;n€´•8
Us8
T}8
Q
0FF†€
Ia†‹
à•8
T	¸
I⠦
ÿ•8
U	˜
A™†Ë
8
Us8
T}8
Q
0R%Sæ€À
Ge–>6SváSÀ?@S¿áAç†>
8
U~RG.‚
I™–A=‚‹
8
T	
R>Ž*Ž@
Mn—>gŽõá>[Žâ>OŽuâS@?rŽ¾â?~Žôâ;jŽ—8
Us8
T~8
Q
0F±Ž€
I̎‹
.—8
T	¸
I	¶
M—8
U	˜
A Ë
8
Us8
T~8
Q
0I&w¨
ˆ—8
T‘€IÛwë
¦—8
U|8
T~I½xȌŗ8
Us\°-
0I5yã]÷—8
U	©÷8
Qv8
R	œ÷;Ïy
˜8
U‘ˆIAz
0˜8
U8
T|8
Q
0;ªzD˜8
U;ºzX˜8
U~Iòz‹Ž˜8
Uw#08
Qs8
R‘˜8
Xv\£.w;r{¤˜8
U;{¸˜8
U~IC| 
Ϙ8
U
1Ia|
ô˜8
U‘ˆ8
T~8
Q
2;ò|™8
UI
} 
™8
U
2I}
D™8
U‘ˆ8
T8
Q
2;ƒ}X™8
U~;¡}n™8
U‘ø~;°}„™8
U‘€;À}˜™8
U|;Ï}­™8
Uw;ß}Y8
U~;ñ}י8
U‘¨;~ë™8
UIn~Ȍ
š8
Us\°-
0;~š8
Us;©~2š8
Us;Á~Hš8
U‘¨;R\š8
U~Ie 
sš8
U
3Iƒ
˜š8
U‘ˆ8
T~8
Q
2;Ÿ¬š8
U~;Ô8
U;ïԚ8
UI‰€Ȍóš8
Us\°-
0I²€ 

›8
U
4IЀ
/›8
U‘ˆ8
T8
Q
2Ih}fS›8
Uw#\£,wI ‚#
›8
T	÷8
Q	{÷F´„€
I@…‹
«›8
T	
I‹… 
›8
U
5I©…
ç›8
U‘ˆ8
T~8
Q
2;Ņû›8
U~Iͅ%Sœ8
U;í…'œ8
U;ц;œ8
U~;‡Oœ8
UIZ‡ 
fœ8
U
6Ix‡
‹œ8
U‘ˆ8
T8
Q
2;”‡Ÿœ8
UIœ‡%S·œ8
U~;¼‡˜8
U~Iå‡ 
âœ8
U
7Iˆ
8
U‘ˆ8
T~8
Q
2;ˆ8
U~I'ˆ%S38
U;GˆG8
UIpˆ 
^8
U
8IŽˆ
ƒ8
U‘ˆ8
T8
Q
2;ªˆ—8
UI²ˆ%S¯8
U~;҈Ý8
U~Iûˆ 
ڝ8
U
9I‰
ÿ8
U‘ˆ8
T~8
Q
2;5‰ž8
U~I=‰%S+ž8
U;]‰?ž8
UI†‰ 
Vž8
U
:I¤‰
{ž8
U‘ˆ8
T8
Q
2;	ž8
UIȉ%S§ž8
U~;艻ž8
U~IŠ 
Ҟ8
U
;I/Š
÷ž8
U‘ˆ8
T~8
Q
2;KŠŸ8
U~ISŠ%S#Ÿ8
U;sŠ7Ÿ8
UIœŠ 
NŸ8
U
<IºŠ
sŸ8
U‘ˆ8
T8
Q
2;֊‡Ÿ8
UIފ%SŸŸ8
U~;þŠ³Ÿ8
U~I'‹ 
ʟ8
U
=IE‹
ïŸ8
U‘ˆ8
T~8
Q
2;a‹ 8
U~Ii‹%S 8
U;‰‹/ 8
UI²‹ 
F 8
U
>IЋ
k 8
U‘ˆ8
T8
Q
2;ì‹ 8
UIô‹%S— 8
U~;Œ« 8
U~IEΠ
 8
U
?IcŒ
ç 8
U‘ˆ8
T~8
Q
2;Œû 8
U~I‡Œ%S¡8
U;§Œ'¡8
UI، 
>¡8
U
@IöŒ
c¡8
U‘ˆ8
T8
Q
2;w¡8
UI%S¡8
U~;:£¡8
U~Ik 
º¡8
U
AI‰
ߡ8
U‘ˆ8
T~8
Q
2;¥ó¡8
U~I­%S¢8
U;͍¢8
UIý&
9¢8
T‘ˆIŽ
P¢8
U
1;‰Žd¢8
U~A‘ŽȌ8
Us\°-
0[S=à^
œȨ>d=Pã>p=’äZ|=<Rp0*‘
â)¨>™0lå>0»å>0læS@¥0
SVÙ;*‘
{><lå>ö;»å>ê;læS?<rçX<?&<¾ç?2<6è?><6è?J<‚è?V<Šë?b<î@n<‘¼?z<ï?†<Uï?’<òï?ž<=ñ?ª<±ò?¶<Åó?Â<‚èXÎ<XÚ<?æ<7õ?ò<ö?þ<·ö?
=k÷?=+øU"=O*=M‘U2=O:=u‘UB=OJ=(“R>ŽؑÐ
?è¤>gŽðø>[Ž(ù>OŽ…ùSÐ?rŽÎù?~Žú;’‚¤8
Uv8
Q
0Iã—Ë
Ÿ¤8
Uv8
Q
0F˜€
I˜‹
ˤ8
T	¸
A0˜¶
8
U	˜
R>Ž~’ 
	±¥>gŽ:ú>[Žšú>OŽ÷úS ?rŽSû?~Ž‰û;½’K¥8
Uv8
Q
0F«–€
IҖ¶
w¥8
U	˜
Iê–Ë
Ӵ8
Uv8
Q
0AC—‹
8
T	¸
RP.•€

¦>a.øûS€?m.ü?y.ü?….üF"• 
R>Žu•°
֦>gŽßü>[Ž+ý>OŽ‡ýS°?rŽÐý?~Žþ;·•j¦8
U~8
Tv8
Q
0FM—€
Ih—‹
–¦8
T	¸
I{—¶
µ¦8
U	˜
A’—Ë
8
U~8
Tv8
Q
0I3’Ȍõ¦8
Uv\°-
0;c’	§8
UvIْȌ(§8
Uv\°-
0I“ã]T§8
U	Á÷8
R	œ÷;N“h§8
U|I±“A
ۤ8
UÿI㓋Ž§§8
U|08
X‘¼\£.|;=”»§8
UvI=•&
ӧ8
TvI^•
ê§8
U
1IޕȌ	¨8
U}\°-
0;–¨8
U};J–1¨8
U};ƒ–E¨8
Uv;’–Y¨8
Uv;—m¨8
Uv<ʗ8
U}F"‘Û

Ix“W
¬8
Uv8
Q<Ao–#
8
T	è
#K=
i(|ò¨$RJ
i(|%C1
j(|'Q)
L(©$i
L(†	'l
ø)
:©$a,
ø)†	)obj
ù)|&½a
*#N+
 l
¨©$\
 }!$Þ[
 l%¾Z
!l%ó
"l%60
#l%¶G
$l%ÀG
%l&W5
[[2@˜5,
œuÍ>82Oþ>D2É
>P2ì

>\2ì
>h2‘
>t2%
>€2¹

>Œ24
>˜2]

>¤2×
T°2‘T¼2‘TÈ2‘>Ô2Q
>à2å
Tì2‘>ø2y
>3

>3¡
T3‘(T,2ú,2Ÿ?(3Ù
?43K
?@3©
@L3‘Ð|@X3‘Ø|?d3!
@p3‘€}?|3|"
?ˆ3F%
?”35'
? 3J)
@¬3‘à|@¸3‘}?Ä3»+
?Ð3ç-
?Ü3õ/
?è3-2
?ô3¤3
?4ï4
?4Ø6
?4U8
?$4:
@04	‘à}Ÿ““È
@<4‘à}@H4	‘Ð~Ÿ““È
@T4‘Ð~?`4Ö;
?l4Ù
?x4=
?„4?
?4LC
?œ4¬G
?¨4˜H
?´4L
?À4jP
?Ì4&T
@Ø4‘è|@ä4‘ð|@ð4‘ø|?ü4IT
?5iU
?5³U
? 5ðU
X,5?85V
?D5ÜY
?P5Z
?\5ØZ
?h5\
?t5o^
U€5Oˆ5`¶O5÷œU˜5O 5÷œU¨5O°5,žO¸5,žOÀ5_OÈ5ŸOÐ5ŸOØ5€ŸOà5”ŸOè5”ŸUð5Oø5›£O6›£U6O6	¤O6ߪO 6§Eû®@-6‘€}VÌ0W˜p
aTõ0
 d!ŸZ
1<Z
1
Z1>$18`
>é0a
>Ý0“c
SpO01U·LO™1ø­@91‘}Ig™Srã­8
Us8
T‘€}Aw™«‡8
UsN²0Z®7
/(®>¿04d
Eð˜®>é0Zd
>õ0d
>
1«d
>
1Ðd
>1ôd
>$1e
>Ý0>e
SðO01U·V²0U·ð
I(>¿0>e
I6™€¢¹®8
U‘˜|8
T‘Ø~IU·#
ݮ8
T	

8
Q
1A¸#
8
T	X

R>Žý™ 
„̯>gŽde
>[Ž<f
>OŽ/g
S ?rŽžg
?~Žçg
;Dšf¯8
Uv8
T‘€{8
Q
0I`½Ë
ƒ¯8
Uv8
Q
0F
I3À‹
¯¯8
T	¸
Ar˦
8
U	˜
L̚>t°X?6BÌ0̚>

>õ0ih
>
1åi
>
1k
>1l
>$1.m
Wé0>Ý0vn
C̚>U01B²0̚>
/(>¿0vn
RȨc›€
»Ѱ>٨p
S€?å¨Up
Ir›B
»°8
TsAþ¶¼,8
UsR>Ž‚›À
½š±>gŽêp
>[Žr
>OŽpr
SÀ?rŽ¹r
?~Žs
;˛4±8
Uv8
Q
0Fk¼€
I‹¼‹
`±8
T	¸
Iʼ¶
±8
U	˜
Aè¼Ë
8
Uv8
Q
0E *¾?u6ss
Eð´²?†6«s
RP1ˆœP
ú ²>a1-t
SP?m1u
?y1‰u
?…1‰u
Aœ 
8
U
‘È|”#
ÿÿÿÿF|œw
I¨œ‚
E²8
TvIΜ¢r]²8
UvI÷œœ
u²8
Us;뫉²8
Uv;v¬Ÿ²8
U‘ˆ{Aq¶œ
8
UsNº(yž,
	=³>×(ýu
>ã(#v
>Ë(Fv
Cyž,?ï(iv
?û(¨v
?)Ëv
?)w
X)?+)?w
O7)¾žE€Uº?”6vw
R[V 0
øŸ³>xVx
>lV–x
S0?„Vly
A辶
8
U‘˜|R>Ž7 €
úh´>gŽµy
>[Žyz
>OŽ×z
S€?rŽº{
?~Ž|
;€ ´8
Uv8
Q
0F”¾€
I¹¾‹
.´8
T	¸
Ip¿¶
M´8
U	˜
A™¿Ë
8
Uv8
Q
0Ræ,£ à
ýµ>
-9|
>-9|
>-9|
>#-9|
>÷,ý|
L`$á´?h-}
<â 8
Us8
T
0LW¬µ?4-¢}
CW¬??-Æ}
L
­Uµ?P-é}
C
­?[-
~
Au¾Š†8
Us\-
0\-
0\#-
0R[Vø 0
áµ>xV0~
>lV¯~
S0?„VW
;¡˵8
UvA¿Á¶
8
UvRæ,/¡€
ø¶>
- 
>- 
>- 
>#- 
>÷,x€
LM¡$Z¶?h-ç€
<n¡8
Us8
T
0L¬”¶?4-

C¬??-.
Lý¬ζ?P-Q
Cý¬?[-u
ASÁŠ†8
Us\-
0\-
0\#-
0R—1›¡Ð
Q·>¨1˜
SÐ?´1P‚
?À1ƒ
?Ì1¸ƒ
A¬¡ 
8
U‘˜{RȨ{¢
:®·>٨h„
S?娞„
IŠ¢B
˜·8
TsA%­¼,8
UsR>Žš¢@
<{¸>gŽJ…
>[Ž҅
>OŽ0†
S@?rŽ£†
?~Žì†
;袸8
U‘€{8
Q
0I'½Ë
2¸8
U‘€{8
Q
0FìÁ€
I‹
^¸8
T	¸
AP¶
8
U	˜
FåŸw
;󟜸8
UFøŸö

I¡ö

Ÿ8
a‘èzö)Iסö

ê¸8
a‘ðzö)‘˜{÷0÷)Iò¡

¹8
U
5I5¢‚
¹8
T‘€{I]¢¢r5¹8
U‘€{I$£ë
W¹8
U‘€{8
T‘ |IS£‚
q¹8
T‘€{I{£¢r‹¹8
U‘€{I›£œ
¦¹8
U‘{”;ú«º¹8
Us;	¬ι8
Uv;7¬â¹8
Us;F¬ö¹8
Uv;Ьº8
U‘€{;ø¬"º8
U‘€{I#¶œ
=º8
U‘{”A°Àœ
8
U‘{”N:©¶£F
uѺ>W©‡
>K©»‡
C¶£FXc©?o©ÜY
?{©‡
?‡©ˆ
?“©(ˆ
UŸ©Fø£­
Nº(÷§&
ÒZ»>×(ˆ
>ã(µˆ
>Ë(؈
C÷§&?ï(ûˆ
?û(O‰
?)r‰
?)®‰
X)?+)æ‰
O7)¨R@)z©°
¿!¼WM)WM)>})Š
>q)SŠ
>e)vŠ
>Y)™Š
S°?‰)¼Š
?•)‹
?¡)X‹
?­)®‹
?¹)ы
?Å)ô‹
?Ñ)ы
?Ý)SŠ
?é)‹
Xõ)?
*YŒ
?
*˜Œ
X*O%*ЩFû›Â
;‚j¼8
U}8
T‘€{8
Q‘ˆ{8
R‘˜{8
X‘{8
Y‘ {;£~¼8
UIڝÍ
£¼8
a‘ ö)8
b‘€|ö);ž|8
U~8
a‘¨{ö);ʞ߼8
U~8
a‘¨{ö);qŸ½8
U8
a"‘¨{ö)‘¨{ö)‘à{ö)‘Øzö)‘À{ö)I¦£­
5½8
a‘èzö)I	¤ç
O½8
U‘°|;µ§m½8
U~8
a‘¨{ö);R¨‹½8
U~8
a‘¨{ö);©©½8
U8
a‘¨{ö);KªŽ8
U}8
T‘”Iªç
߽8
U‘°|I0¶ç
ù½8
U‘°|I~¶ç
¾8
U‘°|A½Àç
8
U‘°|RP1¤à
»Œ¾>a1òŒ
Sà?m1µ
?y1Ž
?…1Ž
A¤ 
8
U
‘È|”#
ÿÿÿÿR>Ž~¤
Íe¿>gŽyŽ
>[ŽŎ
>OŽ`
S?rŽ©
?~Žߏ
;Ȥ÷¾8
Us8
T‘Øz8
Q
0FˆÃ€
I­Ã‹
#¿8
T	¸
Iäö
B¿8
U	˜
A
ÄË
8
Us8
T‘Øz8
Q
0Ep—Â?£6N
?¯6—
?»6à
Rò¨o¥°
§À>ÿ¨)‘
V©¶¥
O(>©¤‘
S?%©’
O1©^³N.H´=

*nÀ> .h’
>.Ž’
BÅ-H´=
–WÒ-WÞ-CH´=?ê-±’
Oö-¦Uþ-Fr´ø
I
¦

‡À8
U‘è}FH³Û

<}³8
U}NÞ1x¥'
úÀ>2ߒ
>÷17“
>ë1“
Cx¥'?2ç“
Rò¨¦P
Â>ÿ¨F”
V©8¦
O(>©ה
S?%©<•
O1©ͳN.´=

*ßÁ> .r•
>.˜•
BÅ-´=
–WÒ-WÞ-C´=?ê-»•
Oö-š¦Uþ-F5´ø
IŒ¦

øÁ8
U‘Ø~F»³Û

<ì³8
U}VgŒš¦À
>ŒŒé•
>€Œ–
>tŒU–
SÀ?—Œ‹–
?£ŒV
?¯Œ÷–
?»Œ-—
;ò¦„Â8
U}<¶´8
U~Rò¨Ϊð

µÃ>ÿ¨c—
V©öª@
O(>©ô—
S@?%©Y˜
O1©y­N.¤­+

*|Ã> .˜
>.µ˜
BÅ-¤­+
–WÒ-WÞ-C¤­+?ê-ؘ
Oö-F«Uþ-Fŭø
IA«

•Ã8
U‘è}Fp­Û

<Ž­8
UsRò¨F«p
ÓÄ>ÿ¨™
V©j«°
O(>©™
S°?%©æ™
O1©î­N.®+

*šÄ> .š
>.Bš
BÅ-®+
–WÒ-WÞ-C®+?ê-eš
Oö-§Uþ-F:®ø
I¹«

³Ä8
U‘Ø~Få­Û

<®8
UsRȨ˜®à
/0Å>٨“š
Sà?å¨ïš
I§®B
Å8
TvA ¹¼,8
UvR[V·® 
1’Å>xV„›
>lVœ
S ?„VLœ
;׮|Å8
UsA¿¶
8
UsRȨg¯p
BïÅ>٨•œ
Sp?娝
I{¯B
ÙÅ8
TvA]¹¼,8
UvR[V¯°
DUÆ>xV؝
>lVWž
S°?„Vòž
;º¯=Æ8
U‘ØzA ö
8
U‘ØzR>Žx°
J4Ç>gŽ;Ÿ
>[Žß
>OŽ2 
S?rŽՠ
?~Ž3¡
;ʰÃÆ8
U‘€{8
Ts8
QԯzIiȦ
âÆ8
U	˜
F°»€
Iջ‹
Ç8
T	¸
AÜÂË
8
U‘€{8
Ts8
Q‘ØzE`ÏÊ@Q6‘€}Rò¨[±à
SdÈ>ÿ¨ۡ
V©{±@
O(>©ע
S@?%©h£
O1©±N.¸!

*+È> .ģ
>.ê£
BÅ-¸!
–WÒ-WÞ-C¸!?ê-
¤
Oö-رUþ-F"¸ø
Fº±Û

I ³

QÈ8
U‘è}<»8
UsRÌ0ر
TÊ>õ0;¤
>
1פ
>
1P¥
>1ĥ
>$18¦
>é0ߦ
>Ý0k§
SO01ºR²0ç± 
/(ïÈ>¿0¨
L'²1AÉ@91‘}I?²Sr,É8
Us8
T‘€}AO²«‡8
UsE0 »É>é08¨
>õ0]¨
>
1‰¨
>
1®¨
>1Ҩ
>$1ö¨
>Ý0©
S0 O01ºV²0º0 
I(>¿0©
I²€¢ÜÉ8
U‘|8
T‘è}Iº#
Ê8
T	

8
Q
1AN»#
8
T	X

RÌ0^º` 
WšÊ>õ0B©
>
1n©
>
1“©
>1·©
>$1۩
Wé0>Ý0
ª
S` U01V²0^º` 
/(>¿0
ª
I^º
ÁÊ8
U‘è|8
T‘ð|8
Q‘ø|F¹º7
L²7êÊXc6Iә

Ë8
U
1F½šÛ

I8¤‚
(Ë8
T‘ØzIb¤
?Ë8
U
1Iü¤Ȍ^Ë8
Us\°-
0I§ã]ŠË8
U	¨

8
R	!÷;x§ Ë8
U‘ |;‹ª´Ë8
UI–ªö

ÐË8
a‘èzö)I±ª
çË8
U
2;׫ûË8
U;ø®Ì8
UsI¯†
)Ì8
U‘¸|I¯
@Ì8
U
1I:¯
WÌ8
U
1FT¯a
I°
„Ì8
U‘Øz8
Qv;K°šÌ8
U‘|Ik°
´Ì8
U‘Øz;±ÊÌ8
U‘€{;1±ÞÌ8
Us;۲ôÌ8
U‘€{;ê²Í8
Uv;þ²Í8
U‘|;á´2Í8
Uv;KµFÍ8
Us;.¹\Í8
U‘€{AF¼}f8
U‘|#.4A
4|ۀ
œrà0Æ
4|'ª
0«<
4|`ª
0&X
4|¬
3ª
5v<®
3Ú
6)¿¯
3Ý5
7ð$ɰ
%/
8l3NY
9)s²
3W
:)S³
3ÉV
;)3´
3Øa
<y$(µ
%j
=l%êA
>l%

?l%M
@l%I
A¨ 3Ý'
B)Ҷ
3{
C)Ƿ
%ö"
Dl3c!
E)’¸
3@
F)3¹
3\
G)~¹
3Ø
H)º
3­X
Ilwº
3²4
Jº̽
3Ú.
Kl€Á
3ó
L|ÕÄ
2Û

ËÄ2X
íÄ2§
ØÉ&Í,
&W5
E àÜ4ö8
Prà	`B!4

Q‚à‘ ~Rª+]Æ!
òoÐ>»+!Å
S!?Å+jÅ
?Ñ+LÆ
?Ý+LÆ
LsÆúÏ?î+$Ç
LÍ+`Ð?,GÇ
L2ÍRÐ?,jÇ
AH͋
8
T	à
F"ÍÆ

F]Õ eRª+5ÇP!
÷DÑ>»+ŽÇ
SP!?Å+×Ç
?Ñ+¹È
?Ý+¹È
LKÇÏÐ?î+‘É
L˜Ñ+5Ñ?,´É
L­Ñ'Ñ?,×É
AÃы
8
T	à
FÑÆ

FØ eRª+rǐ!
øÒ>»+ûÉ
S!?Å+DÊ
?Ñ+;Ë
?Ý+;Ë
LˆÇ¤Ñ?î+'Ì
L4Ó+
Ò?,JÌ
LIÓüÑ?,mÌ
A_Ӌ
8
T	à
F9ÓÆ

F<Ø eRª+¯ÇÐ!
ùîÒ>»+‘Ì
SÐ!?Å+ÚÌ
?Ñ+ûÍ
?Ý+ûÍ
LÅÇyÒ?î+Ï
LãÒ+ßÒ?,2Ï
LøÒÑÒ?,UÏ
AӋ
8
T	à
FèÒÆ

FÙ eR%SìÇ"
ú,Ó>6SyÏ
S"?@S¯Ï
FÒÊ>
RdTÈP"
û¨Ô>uTïÏ
SP"?TˆÐ
?‹TÑ
?—TkÒ
E°"ÈÓ?¨TWÓ
CÕÐ&?µTÓ
AùЋ
8
T¸
ˆ
~0*(
LlÐ).Ô?ÈT±Ó
LÐ Ô?ÕTÔÓ
A•Ð‹
8
T	¸
FqС
LÀÕ>‹Ô?äTøÓ
?ðT.Ô
FÅՐSIÙÕdTzÔ8
U<ùÕ8
UA[؋
8
T	ˆ
Rª+±Èà"
þ}Õ>»+dÔ
Sà"?Å+­Ô
?Ñ+eÕ
?Ý+eÕ
LÇÈÕ?î+Ö
L)Ñ*nÕ?,8Ö
L=Ñ`Õ?,[Ö
ASы
8
T	à
F.ÑÆ

FÔØ eE #€Û3Ð@
S?Ö
3”@
TÛb×
LïÏ àÕ3÷
É|
Ø
AþÏB
8
U|LÐ$Ö3÷
Î|-Ø
A#ÐB
8
U|IõÌ\
2Ö8
U|I•ÍB
JÖ8
U|I¹ÍB
bÖ8
U|IÝÍB
zÖ8
U|I
ÎB
’Ö8
U|I%ÎB
ªÖ8
U|IIÎB
ÂÖ8
U|ImÎB
ÚÖ8
U|I‘ÎB
òÖ8
U|IµÎB

×8
U|IÙÎB
"×8
U|IýÎB
:×8
U|I!ÏB
R×8
U|IEÏB
j×8
U|IiÏB
‚×8
U|IÏB
š×8
U|I±ÏB
²×8
U|IÕÏB
Ê×8
U|IIÕºQý×8
U	Ý÷8
T
08
Q
B8
R
D8
X
2IyÕB
Ø8
U|I±ÕºQHØ8
U	Ý÷8
T
08
Q
B8
R
D8
X
1I+ÖºQ{Ø8
U	Ý÷8
T
08
Q
B8
R
D8
X
8IXÖºQ®Ø8
U	Ý÷8
T
08
Q
B8
R
D8
X
3I…ÖºQáØ8
U	Ý÷8
T
08
Q
B8
R
D8
X
7I²ÖºQÙ8
U	Ý÷8
T
08
Q
B8
R
D8
X
4IßÖºQGÙ8
U	Ý÷8
T
08
Q
B8
R
D8
X
5I׺QzÙ8
U	Ý÷8
T
08
Q
B8
R
D8
X
6IH׺Q­Ù8
U	Ý÷8
T
08
Q
B8
R
D8
X
<Iu׺QàÙ8
U	Ý÷8
T
08
Q
B8
R
D8
X
:I¢×ºQÚ8
U	Ý÷8
T
08
Q
B8
R
D8
X
9IÏ׺QFÚ8
U	Ý÷8
T
08
Q
B8
R
D8
X
>Iü׺QyÚ8
U	Ý÷8
T
08
Q
B8
R
D8
X
;I|Øÿs·Ú8
U|8
T	`B!8
Qv8
R~8
X	Ý÷I±ØºQêÚ8
U	Ý÷8
T
08
Q
B8
R
D8
X
=IúغQÛ8
U	Ý÷8
T
08
Q
B8
R
D8
X
AI'ÙºQPÛ8
U	Ý÷8
T
08
Q
B8
R
D8
X
@ATÙºQ8
U	Ý÷8
T
08
Q
B8
R
D8
X
?F3Æq
F©Æq
FÚÆq
FÇq
F^Èq
FÈq
FûÈq
F,Éq
FkÉq
F¸Éq
Fäʀ
FM̀
Fǹ
FšÐ€
F»Ð€
Fр
FXр
Fuр
FÈр
FuҀ
F˜Ò€
FÀҀ
FӀ
FdӀ
FjԀ
F¨Ô€
FøԀ
RD,ßÉ°#
«Ý>m,PØ
>…,°Ø
>y,Ù
>a,Ù
>U,ÛÙ
L>Ô”Ý>m,7Ú
>…,[Ú
>y,Ú
>a,«Ú
>U,ãÚ
BÂ*>Ô
)&WÛ*Wç*>Ï*Ú
AÔÛ

8
T‘€~RD,Êà#
vÞ>m,Û
>…,RÛ
>y,žÛ
>a,Ü
>U,MÜ
L4Ò_Þ>m,–Ü
>…,ºÜ
>y,ÞÜ
>a,
Ý
>U,BÝ
BÂ*4Ò
)&WÛ*Wç*>Ï*ÞÜ
A	ÒÛ

8
T‘€~RD,+Ê$
kß>m,eÝ
>…,Ý
>y,ÕÝ
>a,Þ
>U,hÞ
E`$5ß>m,žÞ
>…,ÂÞ
>y,æÞ
>a,ß
>U,Jß
VÂ*HÒ`$
)&WÛ*Wç*>Ï*æÞ
A`Ò#
8
T	Ð

IÃˋ
Tß8
T	
÷A¥ÓÛ

8
T‘€~IãĺQ™ß8
U	Ý÷8
T
08
Q
B8
R
DIÅã]Åß8
U	¨

8
R	!÷A±Ê¨©8
Uv8
a‘À}ö)8
T|8
Q‘´}”8
b‘È}ö)8
c‘Ð}ö)8
d‘Ø}ö)8
R}8
X‘¸}”8
Y‘¼}”8
e‘à}ö)8
f‘è}ö)8
g‘ð}ö)8w‘ø}”8w‘ü}”8w~8w\,2ó
U
6‚à‰
|’à‰#J1
Û-l
Êà%b
Ü-@%Ñ
Ü-@+%`

à-ó[#ÌF
'$l
äà&Í,
*$#(
Æ#l
þà&Í,
Ë##ž2
Ï#l
á&Í,
"$#¦:
Ð)|
Ná$Ë\
Ð)|$RJ
Ð)|%÷
Ñ)|#Ý?¨l
ƒá)stªl%P«|%Â\¬|]Ò]
0$Ù

œð360
6$|mß
3¶G
7$|Pá
3­X
8$låâ
3²4
9$º•ã
3Ú.
:$lUä
&Í,
X%2W5
a%fÜR’à’ِ$
F$"ãS$@£à‘à}@¯à‘ð}LÚ:¹â@¼à‘€~I?Úc
šâ8
U|8
TÈ8
Q	
8
Rs8
X	#ø8
YvANڄ
8
U
08
T|8
Q
1IáÙc
íâ8
Us8
T
48
Q	ø8
R
28
X
7FæÙR
AÿÙc
8
Uv8
T
48
Q	 øRÊà¤Ûà$
h$™ãSà$OÛà7ÜV‰=¤Û0%
($>š=å
FÉÛ]
FÜr
A›ÜŒ
8
Q
0RäàÝ`%
x$äãS`%UõàFݼ,F7ݼ,FSݼ,RþàcÝ°%
z$ÕäS°%UáIvݬ
ä8
U
1I™Ý¬
4ä8
U
1I¼Ý¬
Kä8
U
1Ißݬ
bä8
U
1Iެ
yä8
U
1I%Þ¬
ä8
U
1I^à¬
¨ä8
U*AÇàÝ
8
U
D8
T*8
Q
08
R
08w0
L
RáÐê&
+%[å>5áXå
>)á¡å
S&?Aáýå
IÛê[V+å8
Us8
TvFGîÂ
Agî#
8
T	cù8
Qv$RNá%ë0&
8%¿æS0&?_áæ
?já¢æ
?vápç
I1ë×
²å8
U	}ùILëì
×å8
Uv8
T	“ù;`ëëå8
UvIë‹

æ8
T	
;Äíæ8
UsIæí‹
=æ8
T	h
Ið
Uæ8
Us;.ðiæ8
UsF[ñ#
F³ñ#
Içñ‹
¢æ8
T	³ùA	ò‹
8
T	žùIŠÚã]ðæ8
U	à
8
Tv8
Q|8
R}IïÚ
ç8
U
0I
Ûr
+ç8
U	N÷8
T
0I:Û
hç8
U	8ø8
T	àd!8
Q
08
R
08
X
õFVÛx

IvÛE
Ӎ8
U	AøIœÛZ
³ç8
T	MøF]܀
I|܋
ßç8
T	à
IÝZ
þç8
T	ZøI
áz
è8
U	 b!F3áfXIUáZ
Vè8
T	cø8
Q	 b!I¯áz
uè8
U	€`!FÕáfXI÷áZ
®è8
T	pø8
Q	€`!IQâz
Íè8
U	à^!FwâfXI™âZ
é8
T	{ø8
Q	à^!Ióâz
%é8
U	]!FãfXI;ãZ
^é8
T	Šø8
Q	]!I•ãz
}é8
U	 [!F»ãfXIÝãZ
¶é8
T	Ÿø8
Q	 [!I7äz
Õé8
U	@Y!F]äfXIäZ
ê8
T	˜ø8
Q	@Y!IÙäz
-ê8
U	`W!FÿäfXI!åZ
fê8
T	¥ø8
Q	`W!I{åz
…ê8
U	€U!F¡åfXIÃåZ
¾ê8
T	©ø8
Q	€U!Iæz
Ýê8
U	 S!FCæfXIeæZ
ë8
T	’ø8
Q	 S!I¿æz
5ë8
U	ÀQ!FåæfXIçZ
në8
T	¼ø8
Q	ÀQ!Iaçz
ë8
U	àO!F‡çfXI©çZ
Æë8
T	µø8
Q	àO!IÙçcYþë8
U	Aø8
T	6÷8
Q
h8
R
0IècY5ì8
U	Ïø8
T	5÷8
Q`8
R
0I-ècYmì8
U	Ïø8
T	Õø8
Q
H
8
R
0IWècY¥ì8
U	Ïø8
T	Þø8
Q
08
R
0IècYÜì8
U	Ïø8
T	èø8
QP8
R
0I«ècYí8
U	Ïø8
T	ðø8
QÀ8
R
0IØècYJí8
U	ù8
T	öø8
Q@8
R
1Fôè\I!écYŽí8
U	1ù8
T	ù8
Q88
R
1F=é\IjécYÒí8
U	1ù8
T	Kù8
Qp8
R
1F†é\I³écYî8
U	1ù8
T	Xù8
Qx8
R
1FÏé\Iíéèp:î8
T
0Iê
Rî8
Q~;'êfî8
U~I5êèp}î8
T
0IWê
•î8
Q~;oê©î8
U~IyêL
Àî8
U
1I­êèpØî8
T~;Éêìî8
U~Iýê
ï8
Q~;ëï8
U~;%ë,ï8
UsF¦ë
Iµë‹
Xï8
T	h
Fºí£
;îyï8
U~;3îï8
UsI›ð—
±ï8
U	d!8
T
0I½ð
Éï8
Qs;ÑðÝï8
UsFÖða
Iøð
ð8
Qs<ñ8
Us4ÁSt	0j!^:g4ž
|	(j!4~J
|	 j!4q
|	j!4R
|	j!45'
|	j!4­X
l	j!4Ú.
l	j!%âH
Ûð
º4²4
º	øi!
ºñ‰%–
.ñ
öð4&,
Cw!	ði!4é@
R"	èi!4ž
`Yñ	ài!¡$4$7
nuñ	Øi!¼$4z`
}w"	Ði!4u-
‹§ñ	Èi!ü$40S
™Ãñ	Ài!%4µ
§ßñ	¸i!2%4p!
µûñ	°i!M%4×Z
Ãò	¨i!h%43O
Ñ3ò	 i!ƒ%4ôR
ßOò	˜i!ž%4ß]
íkò	i!¹%4Þ)
û‡ò	ˆi!Ô%4)a
	£ò	€i!ï%
?¹ò‰4²P
µ©ò	@i!4ÆP
¶©ò	 A!4Ì&
I'	0i!4@
eß	(i!4³[
lß	 i!4ƒV
mß	i!4z2
nß	i!4B`
oß	i!4ìI
pß	i!4R
tß	øh!4hY
wß	ðh!4!*
xß	èh!4ì
yß	àh!4&E
|ß	Øh!4ï
}ß	Ðh!4Û!
~ß	Èh!4Ô4
ß	Àh!4l,
€ß	¸h!4=
ß	°h!4U
‚ß	¨h!4ÒX
ƒß	 h!4ö
„ß	˜h!4~1
…ß	h!4s=
†ß	ˆh!4.M
Š©	 d!4ò/
|	€h!4¹'
|	xh!4PQ
‘|	ph!
£1õ‰
4jA
®!õ	‚A!4TT
¯!õ	€A!4fT
°!õ	~A!4pT
±!õ	|A!4zT
²!õ	zA!4L
³!õ	xA!4ùT
´!õ	vA!4èL
µ!õ	tA!4¢U
¶!õ	rA!4¬U
·!õ	pA!4¶U
¸!õ	nA!4ÀU
¹!õ	lA!4ÊU
º!õ	jA!4ÔU
»!õ	hA!4ÞU
¼!õ	fA!4"V
½!õ	dA!4,V
¾!õ	bA!46V
¿!õ	`A!4ÈM
À!õ	^A!4OV
Á!õ	\A!4ñM
Â!õ	ZA!
£÷‰4›&
Ãÿö	WA!4¦&
Äÿö	TA!4±&
Åÿö	QA!4ŠH
Æÿö	NA!4T
Ç@	JA!49
È@	FA!4£7
É@	BA!
£¹÷‰4L
Ê©÷	=A!42F
Ë©÷	8A!4Ú_
Ì©÷	3A!
£ø‰48\
Íû÷	*A!44

Ω÷	%A!4GU
Ïû÷	A!4P

Щ÷	A!4Ç7
Ñ©÷	A!
£‰ø‰48
Òyø	A!4ä
Óyø	A!4µ!
Ôyø	A!4 6
Õyø	ú@!4P
Öyø	ô@!4v;
×yø	î@!4°Z
Øyø	è@!4$#
Ùyø	â@!42
Úyø	Ü@!4¢
Ûyø	Ö@!
£uù‰
4ö
Üeù	Ë@!
£›ù‰4¦!
Ý‹ù	Ä@!4Û+
Þ‹ù	½@!
£×ù‰4?
ßÇù	±@!4iL
àø	©@!4‘4
áø	¡@!4ž
âø	™@!4,[
ãø	‘@!4j`
äø	‰@!4ÐJ
åø	@!4ÿC
æø	y@!4"3
çø	q@!4ÒM
èø	i@!4ú
éø	a@!4™
êû÷	X@!4
ëû÷	O@!4T>
ìû÷	F@!
£û‰	4¬	
íû	<@!4R2
îû	2@!4ôa
ïû	(@!4åK
ðû	@!4D
ñû	@!4º
òeù		@!4Ý\
óeù	þ?!
£Åû‰4Ü:
ôµû	ï?!4Ò#
õeù	ä?!4„T
öeù	Ù?!4
÷eù	Î?!4ÛO
øeù	Ã?!
£Cü‰4ë0
ù3ü	¶?!4q
ú3ü	©?!4†]
û3ü	œ?!
£•ü‰
4þ
ü…ü	Ž?!4€
ý…ü	€?!
£Ñü‰4À$
þÁü	p?!4pN
ÿ…ü	`?!4Y?
Áü	P?!4&

ª	0?!
£9ý‰4‡C
)ý	?!
£_ý‰4t%
Oý	ð>!
£…ý‰"4À8
uý	À>!
£«ý‰B4¢#
›ý	`>!
£Ñý‰$4….
Áý	 >!
£÷ý‰x4y#
çý	 =!
£þ‰;4«5

þ	`=!
£Cþ‰#4‡S
	3þ	 =!
£iþ‰84­D

Yþ	à<!
£þ‰!4Ê
þ	 <!4&
uý	`<!4~

|	hh!4m/
|	`h!4—
|	Xh!4;
|	Ph!4'
|	Hh!45

|	@h!423
|	8h!4×
|	0h!4´K
|	(h!4 
|	 h!4kQ
|	h!4;
|	h!4À
|	h!4_
|	h!4÷^
|	øg!4S
|	ðg!4UZ
|	èg!4ê

|	àg!49
|	Øg!4
 |	Ðg!4”D
!|	Èg!4Î
"|	Àg!4ÖP
#|	¸g!4/;
$|	°g!4Z<
%|	¨g!4
&|	 g!4_D
'|	˜g!4
(|	g!40
)|	ˆg!4pH
*|	€g!4öY
+|	xg!4Œ[
,|	pg!4Ð=
-|	hg!4c(
.|	`g!4«C
/|	Xg!41/
0|	Pg!4Ú6
1|	Hg!4	Z
2|	@g!4…	
3|	8g!4¶H
4|	0g!4ê+
5|	(g!4f	
6|	 g!4Þ
7|	g!43
8|	g!4K
9|	g!4ÞF
:|	g!4`%
;|	øf!4Ö1
<|	ðf!4—
=|	èf!4Ã!
>|	àf!4.
?|	Øf!4Ó

@|	Ðf!4W
A|	Èf!4^3
B|	Àf!4M[
C|	¸f!4@
D|	°f!4ç8
E|	¨f!4

F|	 f!4
G|	˜f!4£6
H|	f!4–
I|	ˆf!4î
J|	€f!4n
K|	xf!4Ž
L|	pf!4Š
M|	hf!4œ

N|	`f!4#
O|	Xf!4z
P|	Pf!4*Z
Q|	Hf!4‹
R|	@f!4}>
S|	8f!4†
T|	0f!4š%
U|	(f!4nV
V|	 f!4¦N
W|	f!4¸ 
X|	f!4\4
Y|	f!4à

Z|	f!4’
[|	øe!4 W
\|	ðe!4Î+
]|	èe!4¸2
^|	àe!4,5
_|	Øe!4H5
`|	Ðe!4Ï2
a|	Èe!4Þ2
b|	Àe!4í2
c|	¸e!4€Q
d|	°e!
£\
_‰p
4 
’K
	à:!
£ƒ
_‰â4u)
2r
	à2!4H
3o	d!4[
* O"	 e!
oÕ
‰
4[X
C Å
	Àc!4>
H Ñ	 b!4yb
‚ ü$	e!4 
 Ñ	€`!4Ì
Ç %	€e!4Ì
Ò Ñ	à^!4”L
!2%	pe!4Ÿ
!Å
	 ^!40:
!Ñ	]!4¼
V!M%	`e!4	

a!Å
	À\!4ò
f!Ñ	 [!4>I
 !h%	Pe!4…M
«!Å
	àZ!4i7
°!Ñ	@Y!4ºC
ê!ƒ%	@e!4ì
õ!Å
	Y!4XF
ú!Ñ	`W!4Í 
4"ž%	0e!4É>
?"Å
	 W!4
D"Ñ	€U!4<
~"¹%	 e!4tA
‰"Å
	@U!4”
Ž"Ñ	 S!4

È"Ô%	e!4&L
Ó"Å
	`S!4€
Ø"Ñ	ÀQ!4p_
#ï%	e!4).
#Å
	€Q!4ð'
"#Ñ	àO!
oy	
‰4e=
]#i	
	àd!
àŸ	
‰P4(
s#	
	 C!`YD¨Ž`—2©Ža	º
ÑaÈZ	Fa&©
Ñ`÷KÑ`y`Ž`ÏO
Ñ`ãÑ`õ&7Ñ`p8Ñ`DÑ
£R

b`.4G

`"Ñ`ûM)Ñ`†++Ñ`ÈÑ`¿9v|`Y|`k:…|`¡4†|`ù(Š|`)Q‹|`%Œ|`è=’|`”|`C>š|`È3`*`6lcbU
Œl	Àd!dm2Ã|>
|ºefÂ	å
lT
|fâ, s|j
|fF ||€
|g¡aO|h_N¡
|ºd¿
B¶
|f2Y	Ú
|Ñ
||iexp!d)æ
)ilog!m)û
)dâE|
º€d¶<"ol9
|||d5?|N
ºdè1#|c
|f3J@
l„
7ºed&$	l£
|º?jPfm1 ¼
|Ã
||dh[!Ý
|ºdŽIGî&3

llll||||||||l|d.B|I

ºed%5c

7dB%4x

7dp
&|

|dQ=Ra±

î&||d.4lÆ

ŠdTU
0Û

|f9	µ
lö

ßßd˜K3|
)d (| 
?da_&|5
0f	 f
|L
|edJ/|a
?gýJ"m|d¸E'
|
düB(4l›
|ld%(5lµ
º|d1(3lÔ
||ldLJlî
||fðl	
||dÊ:E
|dm"rlB
|t66dîJ"n|\
||d‹6"y?q
|d]7)†
|d4(|›
?h’J]¶
666dt65lË
f£ 0
|ë
|||fŸV |
||f˜X	Õ
|&
||lf+!|A
||fP)Ò
W
7fF/ lw
|†	lg> ÷d[K|œ
||h€ª­
÷d¼!ÃlÂ
)g"Duipow!™)ç
))hA$vø
kÓ)ã


k‰F j
†	hSQ7
666hÈERR
|||g·)*mºdyWT|r
ºd±F>|Œ
º?f*1î|¬
º?ºdº7.|Â
?edüL\l×
|dó#|ì
ºf9	×
|
|ºdš\B
|ds	+u|E
ºzº|ldFD#|Z
ºf¶,	Ø
lz
|º|fÅ]	Á
l
ßl
*Fm$0
1|z||

%U
$>:;I$>I
:;

:;I8	
:;I8


I
!I/:;
&I
'I
I&:;I
:;

:;I8
:;

:;I8
'

:;

:;
<
:;

:;I8
:;

:;
(

:;
 
:;
!
:;I8"
:;
#.
:;'I 
$:;I%4:;I&
:;'.
:;' 
(:;I)4:;I*

+
,.:;' -
:;..
:;'I
@—B
/:;I0:;I14:;I
2
:;
34:;I44:;I5.
:;'
@—B
6:;I7‰‚


•B8Š‚
‘B9:;I:4:;I;‰‚



<‰‚


=.
1
@—B
>1?41@41A‰‚


1B
1
XYC

D4:;IE
U
F‰‚

1G‰‚

•B1H‰‚


•B1I‰‚


1
J41
K41L


M‰‚


•B
N
1
XY
O
1
P
:;
Q.
:;'
@
R
1R
UXY
S
UT1U
1V
1R
UXYW1X41Y1
Z1[.
1
@–B
\Š‚
1‘B].
?:;'
@–B
^4:;I_!I/`4:;I?<a4:;I?<b!c4:;I?d.
?:;'I<
ef.
?:;'I<
g.?:;'I<h.
?:;'<
i.
?:;'I<
j.?'4<k.
?:;'<
l.?:;'<m.
?:;'I<{'Y

û






sklearn/linear_model/usr/local/lib/python2.7/dist-packages/numpy/core/include/numpy/usr/lib/gcc/x86_64-linux-gnu/4.8/include/usr/include/x86_64-linux-gnu/bits/usr/include/usr/include/python2.7sgd_fast.c
__multiarray_api.hstddef.htypes.hstdio.hlibio.hunistd.hpyport.hobject.hmethodobject.hdescrobject.hintobject.hlongobject.hfloatobject.hstringobject.htupleobject.hlistobject.hpycapsule.hframeobject.hpystate.hcode.hnpy_common.hndarraytypes.h__ufunc_api.hunicodeobject.hboolobject.hbytearrayobject.hcobject.htraceback.hpyerrors.hceval.habstract.hmathcalls.hdictobject.himport.hwarnings.hpymem.hmoduleobject.hsysmodule.hfileobject.hstdlib.hpythonrun.hmodsupport.h	PGí

úò

ò

ò

ò

ò

ò
Jv‚
J	f0J\f	žƒf»º
Jv‚
J	f0J\f	žuf»½
º
	JY	fƒ
J
º

J	¬»
XJ¸
º

È	ž‚


È	žòː

J<
‚

J§
º
Jw‚JwX
Jfteó$ò

	J	‚wX
Jf	žJqt»¾
J
J‚
.
ÉfKfJetkòà
t
	òwJ	Xg‚

	JYf	f=tJPJó‘‚Œò=¯KI=å=€¿=w 
X‚ætkòsvvt„ô
òxò	òpòôôôùózòö÷Èò

=
-
“X¾/EYÉ;/«;
X’rãcÖMq?/†Z®zXÒ#
LYZ®‰tòzJY’X®¯t¼{JYÈX®¯t†|JYþX®¯tÐ|JY´X®Œ}tLYZ®œtß}JY¥X®¯tLYZ®¯tó~JY‘
X®¯t½JYÇX®ùtM9?0z’HL#v‚=ÞÈg
È‚½G%E3)v‚=s?#
s͐ŸÕ?V‘ wt\"׬µftzä
bž)
Z6‚ƒ»ƒ
.†´K¾-‘h‹ä
tJJž	Ö‚gJJrÈÈrJ‚R.'
RJ.‚Ü~È

Jž	Öº³‚?J‚rJ`äˆ;ä",h,Z\8@0A70K-‡¸
º
 
I
Y
‹
%
Xj*\.‚¡K¡KòXxt6YYlz<B/K„u
Xg
;
­
Õ
s»º¢8@
J±‘B
oJ<gò‘•<ët–.?uz
ò­;KI=-1L:>d=L6Öà¿òK=;’:>iu ¢8@g’J#
Ÿ‘uŸŸ=K¤KKqÖ1+ç»LW<
•ò![K»‚Ç<¹<êäw$X¢.LIe„/xä_ò¤<ntÒ
tXt>IKæ~ºyò¦
f
‚!‰J
ž–ƒIK–=YuWM˜uÌhIƒIKhG?KKEJC¬Ñ~.¯
fƒý~JW$
srðòHt*+
Õf¯°,ü~¬
֏.|
³
0
‘
È­ƒIKKƒƒ¬åuJÊWƒfKv¹/È~JûX»
XŸ˜¬c%
(òÞXù~¬úžÖŽ¬BJ>Xk.hò-‚TJ,Xß~¬	ž‹žù+
ÁXÊÅSff""Mæ­L`JtX‘Hi<Xsj«}Jf""Mæ­L`JtX‘Hi<Xsjµ}Jf""Mæ­L`JtX‘Hi<XsjŽ}JJæ­L­gJ*XÄ~*
Jæ­L­gJ*XÑ}*
f""Mæ­L`JtX‘Hi<Xsjª}Jf""Mæ­L`JtX‘Hi<Xsj³}JJæ­L­gJ*X 9*
s†I€=¯>IƒƒRytKƒƒKuKƒŸ»ƒ»p…˜Jèt˜XY;=ìfK×1>0u-Š™uW•„žüXmJX³¶J;!fÙKIYZȐ×òÖ"Öm¬
p<
ónt
)
æ	tyJ5UKe=4ƒ;=¿
ºO=.[%
qX
¬.Ÿ
‚fž‘Ö0ó.
ò;‘f/•‘X
 Ö
rX
I
/Ut
 <’	tyJ_pÈ
ðgžK­N8\`ä
º<mž…9?/å
X°–6
ò;‘f/•‘X
 Ö
rX
I
/Ut
 <’	tyJ_pÈ
ðgžK­N8\`ä
º<mž…9?/å
X°’6
J;‘f¡’ÈXÖqt/
qÈrt…›?
$
ævxž
º<ltKåN8\^tä
‚½,
J;‘f¡’ÈXÖqt/
qÈrt…›?
$
ævxž
º<ltKåN8\^tä
‚,
J;‘f¡’ÈXÖqt/
qÈrt…›?
$
ævxž
º<ltKåN8\^tä
‚ƒ/,
1q¾}Jž¾}XÅXVÈH\KUhVMk­Ü}ȃª#»qJX“‡Yå–»}äŸÁƒJè<LVK[GKKKYOß<
fGKMYÈ
t°ì7XKJ†UƒƒYK×p¬K:KYØ;Y
fKPfIYY>ž‘ë|‚éXILZ‘¢ÌUYƒƒL:Z'ƒÂX3¤ä»;KvÈYä.qt‘ä!‘ø~ÈÑ}tW¿žY¬®ȃ9‚eƒ
f<¢
XÂ|ž¬ò‘Œ
t•ö~ÖIŸ;v‚ȬYDtˆ
XÞzt‘οtK»±À‚	Xȿž‘¯À¬xFӿ.¨Çfh:hŸ¡‘[KY/Xƒƒ„þ¼·sMt
 »cò0ÖG<xT=MKUKN:K‘»óÃ<
tX
XK­¹Èsøgò3ÖMt3ä”NX;3<O78<ªLN‚2ºØè8\
º2
òÙN¤‘KHM
X‘æ‡äƒdý<ƒd<hh­žZÒe.ŸŸ×ž"Ö»֭“" v¼jºƒå¾žÁ<ç‚»åå!-[óóóó'¶òç\J/	<v<
JŠfÔd‚¬<Ôd<hƒ›#fŸ/ä\‚œ#.ä\<I=«ôŸ'	žK‰È«{äÉž·{Úžð{E
â¾ä
È%"
„‡ä”eì<”eXh
"
ƒžZÉ·"žŸÕË]JåYÉ<ë.YÈ]‚¸".È]<¹ʟXZÉ¥"žŸÝ]J/‘j‚[ä äååïîðä{äì֭“" v‹jºƒ­ož<1‚Ñä½|4
€Ÿ#¬‘Ú]‚¦".Ú]<ñ®ŸZÉ“"òŸÕï]Jƒ‘j‚¦"äYì]º”".ì]<¹KžÖ֭“" v¡kºƒŸª<—
‚ZɁ"žŸs=€^ò/‘Ž~‚uä<sÖt1
;
Jnžg鐘gA
èž…g<û<Πgfàžÿf<<ýf'
RZ‚»n<<äžÂ}+
Ÿ¹jXBä><¿Èj<sä
<÷ȟ¬ktŸž=‚C =<€žÅ|ä:½<ðžÆk‚qž‚¶ä’jÈî<’j<î¬ÃjȽ<Ãj<ý¬#X]<#f£e*
GJ9.
ã=²
ž€~ä×QX/<WQ‚’z…ûÖû
‚ZÉó僑k‚qžN‚uª<Ö<Þ‚ŸžkX­È­‚V¨kÈØ<¨k<4tâqž&‚€"ä‘þ]‚‚".þ]<ñeäqžJäZÉóåƒY‚ZÉóåƒY‚ZÉóåƒY‚ZÉóåƒY‚ZÉóåƒY‚ZÉóåƒY‚ZÉóåƒY‚ZÉóåƒY‚ZÉóåƒY=K‹‚ZÉóåƒY=K‹‚ZÉóåƒY=K‹‚ZÉóåƒY‚¼]q‹J­“" vïm‚óƒg›>‚ŸìmX$u›>ˆ¬VömÈŠ<öm<}âpžâožâožâožâqžâqžâqžâqžâqžâqžâqžâqžâqž†È>¼º]‚»ãòGJ9<=f	Jw<Ï<	‚Ju‚J	ººKXºG[Ÿ0JufX"f–֭“#„„ácºƒKÇ}/
Ì֭“#„„«aºƒ­ý~ží<0’	žó(
iòt‚`t[ÅÖ¼}XÄJ	‚wÖ	‚
‚<kÉ}¬®ä‘{òþ~t‚
<=ô.1ƒt%ÖPuuuuuuuuuuuuuuºuºþ!º½_‚à <½_<h ­]q¼J­“#®„¾eº­ƒKÜ}4
pò•òñäè¨bžxäÆä„ä©ažžÏ‚ƲažÎ<²a<‹‚áX¢f™Ï䝟»eX½tVÅeÈ»<Åe<Úò¡tß¡žÀäècž˜<èc<¡JŸxtÉSäŒ,fôSt&B
Zº'fYº(fXº5Kº6½»Ò+ºéÉúu„—¦TäJmX
X	f0ƒZqKÓ+J­“'¼V>v¦T÷º”¬	º6º-º©*$
r»»ƒƒéUä¬nX	twºï‚:X±)tå;=ggJèVJ˜)tu“'vV®vßV¬Xt‚‚YFê~ºÐ
‚•~f’ÈtÙ/ž§PXÙ/<§P<h¼­K
tä
Z
	"
	'
wJ	J%º
6
	¬".
J_JºÉòíä
JvJ
J
¬v.m‚’{.!Z
	ä$
vÈ
J	.
M
+< X	wXñ|¤òäÔ^º®!‚Ò^tKö©!XÝ$¥[JÛ$tu“'vV>vœ[µ%¬ÐKX¯Zž’Ë^ž¶!JË^tö±!‚’¯%¬ÐKXµZž’	žä,fžSâ,<žSXh
)
æZLJqtP	Xy<QwX	JZŸ‘	ž²$tå;=ggJç[J™$tu“'¼V@VvÞ[Ÿ&Ÿ%Ÿ‘
ž­	Jº
º
7
­â~JȘ*žèUX˜*<èU<h%	žéq‹#J­“">ZVvï\ºŸÉå©>-t=åååóÊ"äŸ
=KKKƒƒÛ~‚/«JƒZ,Ð|)
­«JƒZ,ß})
=KKKKKKåå¤\(
YBå%5‡|ž#
tž‚tJ©Ö®äv‚
J
Xv.m‚Üz.òÄ2
¼ÈÄJA¬?f‘IK	ž™~.Ÿ(

3
	ºqtºº	fwäïxÖJªt.‘fÅt‚	Öy
J/Jœ‚ä.œºf	JKvJ‚m<	JK$f	ä÷
JÛwfªÈìÀÈ
žhæã"ºž]Là"J/«JƒZ,Ð|få«Jƒ’,“Z îy(
‡äá¯%žuÊZºáµ%žuËVºÄX9s‚:<ö$äK¹K¸ºÅ[‚»$<Å[<Ùzºî, Ö‘cK	¬Ï¬Ö‘cK	¬ôo¬€)Xs»ƒƒ‡V<½*tå;=gܹJçJšdtöâž¼ó„ZMU[ZMª*t=;=­ܹJúJ‡dtNõ¬æ‘,/Œ*(
ó“'"V°VvìU-‘óþ)J­«JƒZ¿ºŸ•|ºvä
ºkÉúu„—œVä
7
š~‚¹äÒäë%‚­$9
-h1
-cK	¬v.
K	±.
Éž\ò5+I?¯~5
y</=/.É&
Ýz4
e<£.
c¬.e<=¤$Öx"
/<ÆV‚º)<ÆV<•}ë<ý|Xý+žqºr»¼TºÅ+¬ƒƒ¨Täv<-8w.·pº,äs»ƒƒ€g<K	¬œ r"
I
ûUIf7ÖW¸š*<ž]¬÷"i
ÍUȳ*<ÍU<„~XÌ
ºã*.ºU‚Æ*<ºU<cºtŸ~Xv<-s<Ú
.£*Èqº°VtÎ)t»»ƒƒ®VäÐ)XµVtÉ)t¼ƒƒq½³V‚\³Ö=t~Xö
<Cë}.Ú
.†.Ȩ|äI
ñU(
bL<Î*X=…]"
ÊÞ"ž‰V¬‘*0
åÜVž“}¬h‚¡,*æVžš)<æV‚“}í<š)å[ä›$<å[<fX/=­$Ö­TžÓ+<­T<B.¹;q<ÊÖ¾ò¿zÈ,ÁÈ»~#
%Ö^$
‘‘Æ3
=™[ä×^tG‘␠d¬ã ’~¬¹;Î
<$.£*¬5£[žÝ$<£[<Êz+
N¬5.«L<Î*tå£TžB¬¹;qXp.´,‚¹[(
Ǭɬî~/
%u%
5Î^"
‘®!ºÔ^"
ñ!ò©¡$J=Û[älÖ/=¯$tÔ[4
§/=rŸzJ±Žd¬×ˆÆóUò*<óU‚TL<¿d.€#$
ש>Æ‘##
=ì\äŒ#f*ö\ Š#<ö\<%
wäõt+
.ctJ;ׄ
f
8X"0.·XååtpJƒååå廻»»»»»»»»»ƒÀ¬>˜1‚ZçN<­ ¬= ¬= ¬>“1‚ZìN<­‘1‚ZíN<­1‚ZîN<­Í:‚Ÿ´Etò1‚ZŒNòŸ ¬= ¬=‹1‚ZóN.Ÿ ¬= ׅY. Ú¬f

Ö
‡(t”ÂîWȆ(t”`ïWÖ…(t”`ðWÈk®:äɱEXÏ:<±EJ
fÖ
4
ñ
vò
ú
ñ
xò
ñ
ï
ò
íù“(È€XX¸~tK‘åååååå廻»»»»»»»»»»¾ƒI=©2X#¬
¸N+
œ
fÖƒä
äO
äO
äO
äO
äO
äO
äO
äO
äO
äO
äO
äO
äO
äO
äO
äO
äOYå
X½Yå
½©2È¬²
îM)
Ÿ
fòó1äŽN&

fÖš1ä#¬
ÄN*
g
fÖ˜1ä#¬
½N+
°(žmV
ˆX,
Wt
Öå
f.å
fÖ¢1ä#¬
¿N+
ž1ž#¬
¾N+
¯(žmV
tmV
ìWt
äfæ
täé
ò)ó~äv;
-Ë3-
Y;=gƒ=;¸M֝äg-
-
q-
--ë-
³äv-
-
-
q-
Ð-
ÁŠ2ºËMž^3
Ç-
M¬-
-
™-
ž
‚Ã$%
¨.Ølf¨ȃ×l‚¨.ƒÉL+Þl䕐×=
È ÷'
èltgÈ
-
OuK°€È±ȒhJ¼ iJßlÍ}‚Àž@¬Àtó
<½×Š"
ýjäyt
äÉÚ~"
­­¬#
#
#
#
#
#
¹ài
wqu××ÊխÉ"zztuØ×××ÊխÉ"zztuØ×××ÊխÉ"zztuØ×××ÊխÉ"zztuØ×××ÊխÉ"zztuØ×××ÊխÉ"zztuØ×××ÊխÉ"zztuØ×××ÊխÉ"zztuØ×××ÊխÉ"zztuØ×××ÊխÉ"zztuØ×××ÊխÉ"vHv^z<zg*****-­-­-­-¬’É
f
	ž’É
f
	žZw9KØv
f
Ÿ
¦	t
­
;
=ÛvfÉ
f
Ÿ
ü@ò
½
9
?jåW=»
Y
õ>Ê~Öæåhäfhg¸~f±
"
Ð~fÎ
$
³~fÏ
$
gm@fhffe¡fÛ@XlX
þ>ž,¬
XŸ
ø‚/vHØv9ívfž~¬à
tvfª~¬ýtyfedyfeý~fÛ"
¢fI$
u$
ìC'
„Hv»øwql“qfg/sf
Õ>ô‘
f
¥‘
žuäd¬Af
à>ºdAfd+,zòk"

Ü<"
u'
u'
u'
›'
tfeeeeeeeeeeeeewfedyfedyfedyfedyfedyfe

	À>ÊÞ
%­L
X Wu
0 W	tZ@Ù
X
ŸMÉ\Œ}XptY;=hƒ;=º’ƒ;=h­;=
. 
f ’ÉËXóøMŸË2
f
 /r
X¼ýv >»;=1¢8@
.ŸY
ä¾/·
t×XY;=¬."ò#X]<#.%0
#A˜{f/;.=/×-˃s®$štxt`»;=xf<[u;=\»;=0Y;=.‘;=0#:>HÖZ,ɂôY>Àv ºuJ‚tä¦!“„ 3Ù:ƒg×[h¡YÊËk׃ÏA¡XUä]‘2lOó/²fë*
sX
º=ä(JX.(X·XÉ<·</­ÉÇÈ


__pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_LossFunction__pyx_v_power_t__pyx_pw_7sklearn_12linear_model_8sgd_fast_11SquaredLoss_1__reduce__attr_name__pyx_methods_7sklearn_12linear_model_8sgd_fast_ModifiedHuberPy_tracefunc_unused2PyImport_ImportModule__pyx_methods_7sklearn_12linear_model_8sgd_fast_Hinge__Pyx_GetItemInt_Generic_filenomessagelenfuncPyModule_GetDictfieldfastclip__pyx_n_s_shapediminfo__pyx_f_7sklearn_12linear_model_8sgd_fast_5Hinge__dloss__pyx_n_s_xnnzsq_ass_slicetp_getattrPyExc_TypeErrorsq_itemco_argcountsetitemnb_addPyUFunc_APIPyNumber_Long__pyx_k_endob_refcnt__pyx_v_n_itergetitemPyTuple_Type__pyx_pf_7sklearn_12linear_model_8sgd_fast_25SquaredEpsilonInsensitive___init__sq_ass_item__Pyx_ImportModuleparentPyBaseObject_Type__pyx_n_s_shuffle__Pyx_InitCachedBuiltinssq_inplace_repeatPyErr_Fetch__pyx_n_s_class_weightnb_lshiftPyGILState_Releasesq_inplace_concattp_is_gcco_firstlinenobyteorder_shortbuf__pyx_pw_7sklearn_12linear_model_8sgd_fast_5Huber_3__reduce__nb_power__pyx_t_10__pyx_t_11__pyx_t_12__pyx_t_13__pyx_t_14__pyx_t_15__pyx_t_16__pyx_t_18__pyx_t_19__pyx_v_weight_neg__pyx_n_s_t_startenc_packmode__Pyx_TypeInfoob_sstateNPY_LONGpy_levelsq_repeatcurexc_valuetypegroup__pyx_t_20sq_concatPyMem_Realloc__pyx_n_s_infinitytp_itemsize__pyx_n_s_alphaentries__pyx_gilstate_saveinitprocPyString_Type__pyx_n_s_C__pyx_f_7sklearn_12linear_model_8sgd_fast_25SquaredEpsilonInsensitive__dlosscodec_search_cachePyGetSetDef__pyx_ptype_7sklearn_12linear_model_8sgd_fast_Hubertp_bases__off_t__pyx_kp_u_Format_string_allocated_too_shor__pyx_buffmt_parse_array__pyx_type_7sklearn_12linear_model_8sgd_fast_EpsilonInsensitive__pyx_n_s_c__pyx_vtable_7sklearn_12linear_model_8sgd_fast_Classificationis_unicode__pyx_n_s_iarraysize__Pyx_RaiseNoneNotIterableError__pyx_n_s_p__pyx_n_s_qfmt_offset__pyx_n_s_t__pyx_n_s_u__pyx_n_s_w__pyx_n_s_y__pyx_k_float64__pyx_pw_7sklearn_12linear_model_8sgd_fast_18EpsilonInsensitive_3__reduce__cancastscalarkindto__pyx_obj_7sklearn_12linear_model_8sgd_fast_EpsilonInsensitive__pyx_f_7sklearn_12linear_model_8sgd_fast_10Regression__dloss__pyx_n_s_update__pyx_L4_error__pyx_L11__pyx_L13__pyx_L14__pyx_L17__pyx_L18_lockPyFloat_TypePyUnicodeUCS4_CompareNPY_SHORTsetattrofuncPyObject_CallFunctionObjArgsf_valuestack__pyx_stacktp_deallocnb_long__pyx_n_s_npPy_InitModule4_64__pyx_kp_u_ndarray_is_not_C_contiguous__pyx_k_intercept_typeobjectnb_floor_divide__pyx_v_offset__pyx_L20__pyx_L21__pyx_L22bf_getwritebuffer__pyx_L24nb_inplace_lshift__pyx_kp_u_Non_native_byte_order_not_suppor__pyx_pf_7sklearn_12linear_model_8sgd_fast_25SquaredEpsilonInsensitive_2__reduce__enc_countinvalid_keyword_type__pyx_pybuffer_weights__pyx_n_s_end__pyx_find_code_objectsklearn/linear_model/sgd_fast.creadbufferprocPyGILState_Ensuref_stacktop__pyx_vtable_7sklearn_12linear_model_8sgd_fast_LossFunction__pyx_n_s_printfastputmask__pyx_L30type_num__pyx_self__Pyx_LocalBuf_ND__pyx_v_endian_detector__pyx_f_7sklearn_12linear_model_8sgd_fast_12SquaredHinge_loss__pyx_k_eta__pyx_vtabstruct_7sklearn_5utils_11seq_dataset_SequentialDatasetPyLongObject__Pyx_CreateCodeObjectForTracebackPyArray_CopySwapNFunc__pyx_type_7sklearn_12linear_model_8sgd_fast_ClassificationvaluesPyErr_Print__pyx_v_verbosenb_index__pyx_k_seedtp_richcompare__pyx_k_time__pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_SquaredLoss__pyx_n_s_thresholdc_line_IO_write_endPyThreadState__pyx_n_s_pyx_vtablenb_remaindernone_allowed__pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_Classification__pyx_k_x_ind_ptrvisitproc__Pyx_BufFmt_TypeCharToNativeSizemodule_name_Py_TrueStruct__Pyx_PyObject_Callnb_inplace_multiplyob_sval__pyx_obj_7sklearn_12linear_model_8sgd_fast_SquaredLossPyTupleObject__Pyx_GetBuffer__Pyx_BufFmt_ExpectNumberco_weakreflistnum_max__pyx_v_xnnztp_compare__Pyx_ReleaseBufferNPY_USERDEFsq_normPyMemberDef__pyx_L29_errorinterninterpnew_countob_typetp_free__pyx_v_intercept_decayPyGILState_LOCKED__pyx_f_7sklearn_12linear_model_8sgd_fast_sqnorm__pyx_n_s_ordertick_counter__stack_chk_fail__pyx_v_info__pyx_f_5numpy__util_dtypestring__pyx_k_is_hinge__pyx_v_etagetterfasttake__finitePyVarObjectrtversion__pyx_L5_argtuple_errorco_nlocals__pyx_k_fit_intercept__Pyx_BufFmt_RaiseExpected__pyx_v_penalty_typePyByteArray_TypeNPY_TIMEDELTA__pyx_f_7sklearn_12linear_model_8sgd_fast_3Log_loss__pyx_kp_s_Floating_point_under_overflow_ocnb_andPyArray_NonzeroFunc__pyx_n_s_numpyelsize__Pyx_ImportTypetp_call__pyx_k_weight_posasync_excPyUnicodeUCS4_Format__pyx_n_s_sample_weightgilstate_counterf_localsplus__pyx_L8__pyx_L9ob_item__pyx_pw_7sklearn_12linear_model_8sgd_fast_5Hinge_3__reduce____pyx_n_s_eta0tp_str__pyx_k_count__pyx_type_7sklearn_12linear_model_8sgd_fast_HingePyExc_RuntimeError__pyx_f_7sklearn_12linear_model_8sgd_fast_10Regression_lossco_filename__pyx_k_learning_rate__pyx_n_s_sumlossPyArray_SetItemFunc__Pyx_PyObject_IsTrueternaryfunc__pyx_tb__pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_Log__pyx_obj_7sklearn_5utils_11seq_dataset_SequentialDataset__pyx_L12_error__pyx_obj_7sklearn_12linear_model_8sgd_fast_HingePyTypeObject__pyx_L4_argument_unpacking_donePyTraceBack_Type__pyx_pw_7sklearn_12linear_model_8sgd_fast_12LossFunction_1dloss__pyx_type_7sklearn_12linear_model_8sgd_fast_SquaredLoss__pyx_pf_7sklearn_12linear_model_8sgd_fast_13ModifiedHuber___reduce____pyx_k_infinity__pyx_L10__intptr_tPyLong_AsUnsignedLongscalarkindsq_contains__pyx_methods_7sklearn_12linear_model_8sgd_fast_Log__pyx_doc_7sklearn_12linear_model_8sgd_fast_12LossFunction_dloss__pyx_valuePyDict_Next__pyx_vtabstruct_7sklearn_5utils_11seq_dataset_ArrayDataset_chain__pyx_vtable_7sklearn_12linear_model_8sgd_fast_Hingef_exc_valueNPY_HEAPSORTpy_importtp_setattrsubarray__pyx_string_tabPyObject_GetAttrStringmallocrichcmpfuncunsigned char__Pyx_PyObject_GetAttrStrmp_ass_subscriptNPY_CLIPMODEbf_getreadbuffer_IO_lock_tPyArray_ScalarKindFunc__Pyx_RaiseTooManyValuesError__pyx_k_weights__pyx_vtable_7sklearn_12linear_model_8sgd_fast_EpsilonInsensitivetp_dictoffset__pyx_L25rootPyNumberMethods_Py_ZeroStructcode_linePyMethodDef__pyx_vtabptr_7sklearn_5utils_11seq_dataset_ArrayDataset__pyx_n_s_RuntimeError__pyx_n_s_sys__pyx_tp_dealloc_7sklearn_12linear_model_8sgd_fast_LossFunction__pyx_vtable_7sklearn_12linear_model_8sgd_fast_Huber__pyx_k_class_weightfunction_name__pyx_type_7sklearn_12linear_model_8sgd_fast_Huber__pyx_v_w_data_ptr__pyx_v_intercept__pyx_ptype_7sklearn_5utils_11seq_dataset_CSRDatasetmp_subscript_PyByteArray_empty_stringtp_clearPyFrame_Newarg_passed_twice__pyx_tp_new_7sklearn_12linear_model_8sgd_fast_SquaredHinge__pyx_v_weights__pyx_k_ValueError__pyx_v_ndim__Pyx_PyInt_From_int__pyx_ptype_7sklearn_12linear_model_8sgd_fast_Regressionnum_min/tmp/pip-build-SIiovk/scikit-learn__pyx_n_s_datasetuse_tracing__pyx_bPyCapsule_Destructorneg_one__pyx_f__pyx_m__pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_HuberPyArray_ArgSortFunc__pyx_rNPY_USHORT__pyx_tp_new_7sklearn_12linear_model_8sgd_fast_EpsilonInsensitivePyStringObjectNPY_BYTEco_freevarsindex_data_ptr__pyx_L7_break__pyx_n_s_testtp_initPyGILState_UNLOCKED__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_ModifiedHuberobjobjargprocob_sizeNPY_UNICODEPyGILState_STATE__pyx_k_pyx_releasebuffer__pyx_ptype_7cpython_4type_typetp_dict_IO_write_ptrtp_as_mappingsetattrfunc__pyx_n_s_epsilon__pyx_k_zeros__Pyx_Bufferfirst_kw_arg__pyx_k_ndarray_is_not_Fortran_contiguou__pyx_obj_7sklearn_12linear_model_8sgd_fast_Classification__pyx_n_s_pyx_releasebufferPyList_New__pyx_ptype_7sklearn_12linear_model_8sgd_fast_Logrcbuffer__pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_Regressionbinaryfunc__pyx_f_7sklearn_12linear_model_8sgd_fast_5Hinge_loss__Pyx_CodeObjectCacheEntryssizessizeargfuncob_ival__Pyx_BufFmt_Context__Pyx_CodeObjectCachePyArray_FillFunctmp_value__pyx_pw_7sklearn_12linear_model_8sgd_fast_12SquaredHinge_3__reduce____pyx_v_is_hingecodec_error_registry__pyx_k_importnew_max__pyx_v_x_norm__pyx_type_7sklearn_12linear_model_8sgd_fast_Regressionbf_getbufferco_zombieframePyArray_SortFuncPyTuple_New__pyx_kp_s_Users_ogrisel_code_scikit_learn__pyx_n_s_x_data_ptr__pyx_vtable_7sklearn_12linear_model_8sgd_fast_SquaredLossNPY_CLIP__pyx_pf_7sklearn_12linear_model_8sgd_fast_12SquaredHinge_2__reduce__getiterfunc__pyx_v_eta0__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_Hinge__pyx_k_n_iter__pyx_k_dtype__pyx_n_s_pyx_getbuffer__pyx_ptype_7sklearn_12linear_model_8sgd_fast_Classification__pyx_pw_7sklearn_12linear_model_8sgd_fast_5Huber_1__init____pyx_f_7sklearn_12linear_model_8sgd_fast_l1penaltynb_nonzero__pyx_tp_new_7sklearn_12linear_model_8sgd_fast_LossFunctioncodec_search_pathdotfuncdescrsetfunc__pyx_v_learning_rate__pyx_n_s_timetmp_type__pyx_k_range__pyx_pf_7sklearn_12linear_model_8sgd_fast_5Huber___init____Pyx_Raise__pyx_k_Floating_point_under_overflow_oc__pyx_k_Users_ogrisel_code_scikit_learnf_lasti__pyx_k_q_data_ptrNPY_QUICKSORT__pyx_pw_5numpy_7ndarray_1__getbuffer____pyx_v_thresholddescrgetfuncunusedPyEval_RestoreThread__pyx_tp_new_7sklearn_12linear_model_8sgd_fast_ModifiedHuberwarningclass_name__Pyx_PyInt_As_npy_uint32__pyx_k_pyx_getbuffer__Pyx_GetBufferAndValidatenb_octnb_inplace_addkw_namePyFile_WriteStringNPY_STRINGco_codeNPY_ULONGLONGNPY_LONGDOUBLE_IO_save_base__pyx_n_s_plain_sgd__pyx_k_sklearn_linear_model_sgd_fast__pyx_n_s_weight_negnpy_bool__pyx_f_7sklearn_12linear_model_8sgd_fast_3Log__dlossPyArray_FastTakeFuncPyErr_WarnExPyUnicode_Type__pyx_k_Format_string_allocated_too_shor_2num_foundreprfunc__pyx_f_7sklearn_12linear_model_8sgd_fast_12LossFunction_loss__pyx_k_Zd__pyx_k_Zf__pyx_k_Zg__Pyx_GetStdout__pyx_code_cache__Pyx_ErrRestorestrictPyBaseString_Type__pyx_kp_u_Format_string_allocated_too_shor_2__pyx_empty_bytescurexc_tracebackcancasttoNpyAuxData_tagpybuffer__pad2fillNPY_CPU_UNKNOWN_ENDIANpy_funcnameexact__pyx_L23__pyx_builtin_ValueErrorPyTryBlock__pyx_v_weight_pos__pyx_type_7sklearn_12linear_model_8sgd_fast_SquaredEpsilonInsensitive__pyx_pw_5numpy_7ndarray_3__releasebuffer____pyx_n_s_lossnpy_hash_tcastdict__Pyx_PyInt_From_unsigned_intbf_getcharbuffer__pyx_pw_7sklearn_12linear_model_8sgd_fast_12SquaredHinge_1__init__PyExc_NameError__pyx_tp_new_7sklearn_12linear_model_8sgd_fast_Classificationcopyswapn__Pyx_SafeReleaseBufferboundscheck__pyx_doc_7sklearn_12linear_model_8sgd_fast_plain_sgdNPY_CDOUBLEPy_GetVersion__pyx_v_flagspy_srcfile__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_EpsilonInsensitive__pyx_ptype_7sklearn_5utils_11seq_dataset_ArrayDatasetnb_dividerefcount__pyx_f_7sklearn_12linear_model_8sgd_fast_18EpsilonInsensitive_loss__pyx_pf_7sklearn_12linear_model_8sgd_fast_18EpsilonInsensitive___init__NpyAuxData_CloneFunc__pyx_f_7sklearn_12linear_model_8sgd_fast_13ModifiedHuber__dloss__pyx_f_7sklearn_12linear_model_8sgd_fast_any_nonfinitePyCObject_Type_nextPyObjectPyArray_ArgFuncnb_xor__pyx_v_q_data_ptr__pyx_tuple___pyx_k_update__pyx_n_s_nonzeronb_negativewritebufferprocNPY_MERGESORT__pyx_vtabptr_7sklearn_5utils_13weight_vector_WeightVectorviewkwds2__pyx_ptype_7sklearn_12linear_model_8sgd_fast_Hinge__Pyx_GetItemInt_FastPyObject_SetAttrString__pyx_L1_error__Pyx_PyNumber_Int__pyx_v_x_data_ptrreserved__pyx_pybuffer_q__ssize_tis_true_longobjectargmaxNpyAuxDataprintfuncco_flags__pyx_v_little_endian__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_Regression__pyx_insert_code_object__pyx_pf_7sklearn_12linear_model_8sgd_fast_18EpsilonInsensitive_2__reduce__PyString_FromFormat__pyx_methods_7sklearn_12linear_model_8sgd_fast_SquaredEpsilonInsensitivemodules_reloading__pyx_k_unknown_dtype_code_in_numpy_pxd__Pyx_BufFmt_StackElemco_nameparent_offset__pyx_clinenoPyBufferProcs__pyx_tp_new_7sklearn_12linear_model_8sgd_fast_SquaredLoss__pyx_n_s_n_featuresPyObject_GetBufferNpyAuxData_FreeFunc__pyx_kp_s_Epoch_dco_stacksizeml_flagsis_listtp_newNPY_NTYPES__Pyx_RaiseArgumentTypeInvalidis_complex__pyx_v_abs_rb_handler__pyx_builtin_range__pyx_n_s_interceptNPY_TYPESPyCFunction_NewEx__pyx_t_1f_exc_tracebackGNU C 4.8.4 -mtune=generic -march=x86-64 -g -O2 -fno-strict-aliasing -fwrapv -fPIC -fstack-protectornum_expectednb_inplace_true_dividenb_inplace_divide__pyx_k_RuntimeErrordestructorPyCFunctionPyFile_WriteObjectPyUnicodeUCS4_DecodeUTF8result__Pyx_check_binary_versionf_tracePyObject_GetItem__pyx_ptype_7sklearn_12linear_model_8sgd_fast_EpsilonInsensitive__pyx_v_infinity_sbuf__pyx_n_s_power_tPyImport_Import_IO_save_end__Pyx_ArgTypeTest__pyx_k_shape_PyArray_Descrtp_delis_unsignedNPY_CFLOAT__pyx_k_n_samplesencodingPyErr_Format__pyx_ptype_5numpy_broadcaststdout__Pyx_InitCachedConstants__pyx_tuple__2tp_name__pyx_tuple__5__pyx_tuple__6__pyx_tuple__7closure__Pyx_BufFmt_ProcessTypeChunk__pyx_k_t_start__pyx_kp_s_Norm_2f_NNZs_d_Bias_6f_T_d_Avg_l__pyx_n_s_q_data_ptr__Pyx_BufFmt_TypeCharToAlignment__Pyx_GetVtableclone__Pyx_SetVtablec_profilefunc_PyThreadState_Currenttp_as_sequence__pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_SquaredHingePyTraceBack_Heretmp_tbtp_as_buffersizetype__pyx_n_s_x_ind_ptrnb_inplace_andPyInt_FromSsize_t__pyx_k_epsilonPyExc_IndexError__pyx_filenameshort unsigned int__pyx_ptype_7sklearn_12linear_model_8sgd_fast_ModifiedHubersysdictPyString_FromString__pyx_tuple__3f_blockstack__pyx_tuple__4__pyx_L0__pyx_L2__pyx_L3__pyx_L4__pyx_L5__pyx_L7__pyx_v_t_startPyFloatObject__pyx_k_Format_string_allocated_too_shortp_alloc__pyx_v_loss__pyx_v_countPyArray_FillWithScalarFuncNPY_LONGLONG__pyx_k_epochsuboffsets__pyx_pf_7sklearn_12linear_model_8sgd_fast_5Hinge___init___Py_CheckRecursiveCallPyDict_Sizetstate_head__pyx_n_s_sklearn_linear_model_sgd_fast__pyx_v_update__pyx_n_s_n_itertrash_delete_nesting__off64_tPyArray_ArrFuncscoercion__pyx_vtabptr_7sklearn_5utils_11seq_dataset_CSRDataset_IO_read_base__pyx_type_7sklearn_12linear_model_8sgd_fast_SquaredHinge__pyx_k_sys_arr_descrPyTuple_Pack__pyx_k_xnnzNPY_NTYPES_ABI_COMPATIBLE_IO_buf_endf_tstateNPY_DOUBLE__pyx_k_alphaNPY_DATETIMEglobal_dicttp_getattroNPY_ULONGallocfuncstruct_count__pyx_obj_7sklearn_12linear_model_8sgd_fast_SquaredHingeargminc_traceobj__pyx_v_n_features__pyx_k_Total_training_time_2f_seconds__pyx_n_s_seed__pyx_pyargnames__pyx_n_s_epochPyType_IsSubtype_modetp_methods__pyx_v_ret_IO_write_basenew_packmodetp_mro__pyx_v_childname__pyx_f_7sklearn_12linear_model_8sgd_fast_5Huber__dlosssegcountprocPyExc_BaseException__pyx_pw_7sklearn_12linear_model_8sgd_fast_13ModifiedHuber_1__reduce____Pyx_PyInt_From_long__pyx_type_7sklearn_12linear_model_8sgd_fast_ModifiedHuberPyExc_ImportError__Pyx_IsLittleEndianPyArray_GetItemFunc__Pyx_ImportFrom__pyx_v_new_offsetPyString_AsString__pyx_k_pyx_vtable__pyx_f_7sklearn_12linear_model_8sgd_fast_12LossFunction__dloss__pyx_n_s_fit_intercept__Pyx_BufFmt_TypeCharToStandardSize__pyx_type__pyx_k_orderPyArray_VectorUnaryFunc__Pyx_PyInt_As_int__pyx_pw_7sklearn_12linear_model_8sgd_fast_3Log_1__reduce____pyx_tp_new_7sklearn_12linear_model_8sgd_fast_Log__pyx_tp_new_7sklearn_12linear_model_8sgd_fast_Huberf_code__pyx_n_s_float64nb_oris_valid_arrayformatunaryfuncPyArrayObject_IO_marker__pyx_argsPyDict_SetItem__pyx_f_7sklearn_12linear_model_8sgd_fast_25SquaredEpsilonInsensitive_loss__pyx_ptype_7sklearn_12linear_model_8sgd_fast_SquaredHinge__Pyx_GetModuleGlobalName__pyx_methods__pyx_ptype_7sklearn_12linear_model_8sgd_fast_SquaredEpsilonInsensitivenb_floatdlopenflags__pyx_n_s_learning_ratePyExc_SystemErrorts_after_sub__Pyx_BufFmt_TypeCharToGroup__Pyx_RaiseBufferFallbackErrorPyExc_ValueError__pyx_k_l1_ratio__pyx_t_17traverseproc__pyx_n_s_verbose__pyx_type_7sklearn_12linear_model_8sgd_fast_LossFunction__pyx_methods_7sklearn_12linear_model_8sgd_fast_SquaredLoss__pyx_k_Epoch_d__pyx_pf_7sklearn_12linear_model_8sgd_fast_11SquaredLoss___reduce____pyx_k_intercept_decay__pyx_pybuffernd_weightsinquiryNPY_NOTYPE__Pyx_BufFmt_Initnb_invertf_linenoml_docPy_intptr_tml_name_import_arrayPyArray_FastPutmaskFunc__pyx_obj_7sklearn_12linear_model_8sgd_fast_LossFunction__Pyx_Buf_DimInfo__pyx_base__pyx_obj_7sklearn_5utils_13weight_vector_WeightVectornum_pos_argsNPY_CPU_BIG__Pyx_RaiseArgtupleInvalidlong doublekw_argsstruct_alignment__pyx_vtabptr_7sklearn_5utils_11seq_dataset_SequentialDatasettp_as_number__pyx_pw_7sklearn_12linear_model_8sgd_fast_1plain_sgd__pyx_k_B__pyx_methods_7sklearn_12linear_model_8sgd_fast_Huberbf_getsegcount__Pyx_StructField__Pyx_RaiseNeedMoreValuesError__pyx_v_fit_intercepttp_weaklistoffset__pyx_obj_7sklearn_12linear_model_8sgd_fast_LogPyFrameObjectml_meth__pyx_v_descr__pyx_obj_7sklearn_12linear_model_8sgd_fast_RegressionPyMem_Mallocreadonly__pyx_f_7sklearn_12linear_model_8sgd_fast_14Classification__dlosstp_docPyFile_SoftSpace__pyx_v_class_weightgetattrofuncNPY_FLOATpy_line__pyx_pf_7sklearn_12linear_model_8sgd_fast_5Huber_2__reduce__newfunc__pyx_k_ndarray_is_not_C_contiguous__pyx_n_s_main__pyx_vtable_7sklearn_12linear_model_8sgd_fast_Log__pyx_v_n_samples__pyx_k_sumloss__Pyx_AddTracebackPyEval_SaveThreadPySequenceMethodsPyImport_AddModulestdin__pyx_n_s_import__pyx_v_fields__Pyx_GetBuiltinName__pyx_n_s_etadimensions__pyx_k_Norm_2f_NNZs_d_Bias_6f_T_d_Avg_lNPY_INT__pyx_pw_7sklearn_12linear_model_8sgd_fast_5Hinge_1__init__tp_weaklist__pyx_ptype_7sklearn_12linear_model_8sgd_fast_LossFunctionnpy_intp_IO_buf_basebufferinfocharbufferproc__pyx_pf_5numpy_7ndarray___getbuffer__PySys_GetObjectPyErr_Restorenb_positivePyCapsule_New__pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_Hingehashfunc__pyx_k_filegetattrfunc_IO_read_end__pyx_type_7sklearn_12linear_model_8sgd_fast_LogPyBuffer_Release__pyx_v_idxpy_globalsPyString_FromStringAndSize__Pyx_InitGlobals__pyx_n_s_penalty_type_IO_FILE__pyx_pf_7sklearn_12linear_model_8sgd_fast_12SquaredHinge___init__more_or_less__pyx_pf_7sklearn_12linear_model_8sgd_fast_12LossFunction_dloss__pyx_v_sumlosstagPyArrayObject_fields__pyx_t_2__pyx_t_3__pyx_t_4__pyx_t_5__pyx_t_6__pyx_t_7__pyx_t_8__pyx_t_9__pyx_mdef_7sklearn_12linear_model_8sgd_fast_1plain_sgd__Pyx_ParseOptionalKeywords__pyx_v_sample_weight__pyx_n_s_intercept_decay__pyx_k_npcurexc_typePyArray_CopySwapFunc__pyx_kp_u_ndarray_is_not_Fortran_contiguou__pyx_cfilenmtp_hash__pyx_obj_7sklearn_12linear_model_8sgd_fast_SquaredEpsilonInsensitive__pyx_vtable_7sklearn_12linear_model_8sgd_fast_SquaredHingenb_hex__pyx_v_seedPyCode_Newob_shash__pyx_pf_5numpy_7ndarray_2__releasebuffer____pyx_L15_continueempty_dict__pyx_ptype_5numpy_ufunc__Pyx_RaiseDoubleKeywordsErrortp_version_tagPyOS_snprintfc_tracefuncfunc_name__Pyx_BufFmt_DescribeTypeCharNPY_HALF__pyx_dPyIntObjectPyErr_NormalizeExceptionpy_frame__pad1__pad3__pad4__pad5__pyx_k_shufflegetbufferprocPyDict_GetItemPyDict_Newpy_codePyArray_DotFuncmax_countcopyswap__pyx_pw_7sklearn_12linear_model_8sgd_fast_25SquaredEpsilonInsensitive_3__reduce____pyx_v_x_ind_ptrPyFloat_FromDouble_markers__pyx_kp_s_Total_training_time_2f_secondssetter__pyx_k_thresholdPyInt_Type__pyx_k_eta0__pyx_k_O_PyString_Eq__pyx_methods_7sklearn_12linear_model_8sgd_fast_EpsilonInsensitive__pyx_k_datasetf_backscanfunc__pyx_vtab__pyx_vtable_7sklearn_12linear_model_8sgd_fast_ModifiedHubertp_memberstp_traverse__pyx_k_bmp_lengthPyErr_ExceptionMatches__pyx_v_shufflef_exc_type__Pyx_TypeInfo_double__pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_ModifiedHuber__pyx_methods_7sklearn_12linear_model_8sgd_fast_SquaredHingegot_Z__pyx_k_u__pyx_k_verbosenb_inplace_xor__pyx_k_yPyList_Typetp_subclasses__pyx_pw_7sklearn_12linear_model_8sgd_fast_18EpsilonInsensitive_1__init__nb_inplace_power__pyx_k_sample_weight__pyx_bisect_code_objectsquote__pyx_n_s_weightsco_namesconst_zerotp_setattrofreefunc__pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_EpsilonInsensitivenb_multiply__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_LogNPY_BOOLnb_true_divideNPY_VOIDfillwithscalartp_getsetargsortf_localsenc_typePyArray_FromStrFuncPyLong_Type__pyx_k_x_data_ptrtp_iternext__Pyx_ZeroBuffer__pyx_k_numpysq_length__pyx_f_7sklearn_12linear_model_8sgd_fast_12SquaredHinge__dlossinvalid_keywordtp_descr_get__pyx_obj_7sklearn_12linear_model_8sgd_fast_Huber__Pyx_zerostp_iter__Pyx_minusones__pyx_n_s_filenb_inplace_floor_divideNPY_UINTPyArray_ScanFuncNPY_UBYTEstridesPyExc_OverflowError__pyx_pybuffernd_q__pyx_builtin_RuntimeError__pyx_n_s_ValueError__pyx_codeobj__8tp_baseNPY_CHARnb_rshift__pyx_pf_7sklearn_12linear_model_8sgd_fast_3Log___reduce____Pyx_BufFmt_TypeCharToPadding__pyx_empty_tuple__pyx_ptype_7sklearn_5utils_13weight_vector_WeightVector__pyx_pw_7sklearn_12linear_model_8sgd_fast_25SquaredEpsilonInsensitive_1__init____pyx_pf_7sklearn_12linear_model_8sgd_fast_5Hinge_2__reduce__co_constsf_globals__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_SquaredLoss__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_ClassificationNPY_RAISEcurrent_index__pyx_k_Non_native_byte_order_not_supporbf_releasebufferPyArray_APItp_printlong long unsigned intrecursion_depth__Pyx_StructField___pyx_v_self_cur_columnreleasebufferproc__Pyx_BufFmt_ParseNumber__pyx_k_Cpy_name__pyx_k_H__pyx_k_I__pyx_k_L__pyx_k_weight_negnb_inplace_remainder__pyx_vtabstruct_7sklearn_12linear_model_8sgd_fast_SquaredEpsilonInsensitive__pyx_k_Q__pyx_vtabstruct_7sklearn_5utils_11seq_dataset_CSRDatasetthread_id__pyx_k_testPyLong_AsLong__pyx_module_is_main_sklearn__linear_model__sgd_fastempty_list__pyx_k_c__pyx_k_d__pyx_k_f__pyx_k_g__pyx_k_h__pyx_k_i__pyx_k_l__pyx_tp_new_7sklearn_12linear_model_8sgd_fast_Regression__pyx_k_p__pyx_k_q__pyx_k_t__pyx_v_wscale__pyx_k_wtypeobjPyCodeObject__pyx_n_s_weight_pos__pyx_ptype_5numpy_flatiterPyNumber_Subtract__pyx_t_5numpy_uint32_t__pyx_v_l1_ratio__pyx_obj_7sklearn_12linear_model_8sgd_fast_ModifiedHuber__pyx_v_Cnb_absolute__pyx_f_7sklearn_12linear_model_8sgd_fast_11SquaredLoss__dloss_IO_backup_basePyString_InternFromString_IO_read_ptr__pyx_n_s_zeros__pyx_vtabstruct_7sklearn_5utils_13weight_vector_WeightVectorPyListObjectinternaltrash_delete_later__pyx_L3_error__pyx_kwdsf_iblocknb_inplace_orcausereset_wscale__pyx_methods_7sklearn_12linear_model_8sgd_fast_LossFunctionPyObject_RichCompare__pyx_linenoob_fval__pyx_v_epsilon__pyx_ptype_7sklearn_12linear_model_8sgd_fast_SquaredLosstp_reprPyExc_AttributeErrortp_cachePyObject_GetAttrPy_ssize_t__pyx_v_alpharaise_error__pyx_ptype_7sklearn_5utils_11seq_dataset_SequentialDataset_old_offsetsq_slicenb_inplace_rshiftfromstr__Pyx_StringTabEntry__pyx_v_epoch__pyx_n_s_is_hinge__pyx_n_s_n_samplesc_profileobj__pyx_kp_u_unknown_dtype_code_in_numpy_pxd__pyx_n_s_dtype__pyx_f_7sklearn_12linear_model_8sgd_fast_11SquaredLoss_losslong long int__pyx_k_print__pyx_v_i_Py_NoneStruct__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_SquaredHinge_flags2PyString_Format__pyx_k_nonzeroPyMappingMethods__pyx_n_s_rangef_builtinsPyCapsule_GetPointerNPY_CPU_LITTLE__pyx_n_s_l1_ratio__pyx_v_c__pyx_v_f__pyx_ptype_5numpy_dtypemodules__pyx_v_j__pyx_v_n__pyx_v_p__pyx_v_q__pyx_v_r__pyx_v_t__pyx_v_u__pyx_v_w__pyx_v_y__pyx_v_z__pyx_k_main__pyx_pf_7sklearn_12linear_model_8sgd_fast_plain_sgdallocatedtp_flags__Pyx_ImportPyCObject_AsVoidPtrNPY_WRAPwraparoundc_apipy_moduleNPY_OBJECT__pyx_k_n_featuresPyArray_CompareFuncalign_mod_offsetPyFloat_AsDouble__pyx_tp_new_7sklearn_12linear_model_8sgd_fast_SquaredEpsilonInsensitivesmalltablenb_subtract__pyx_k_penalty_type__pyx_v_hasfieldsb_levelNPY_CLONGDOUBLEPyType_Readyinitsgd_fast__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_Huber__Pyx_BufFmt_CheckStringPyArray_FastClipFuncargname__Pyx_PrintOne__pyx_f_7sklearn_12linear_model_8sgd_fast_5Huber_loss__pyx_f_7sklearn_12linear_model_8sgd_fast_14Classification_loss__Pyx_InitStringsssizessizeobjargproc__pyx_n_s_countPyErr_SetStringc_metadata__pyx_f_7sklearn_12linear_model_8sgd_fast_13ModifiedHuber_lossPyInt_FromLong__pyx_vtable_7sklearn_12linear_model_8sgd_fast_SquaredEpsilonInsensitive__Pyx_BufFmt_RaiseUnexpectedChar__pyx_k_lossfrom_listco_varnamesiternextfuncco_lnotab__Pyx_ErrFetchnb_int_Py_CheckRecursionLimit__pyx_ptype_5numpy_ndarraytp_descr_set__pyx_k_power_t__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_LossFunctionPy_buffer__pyx_f_7sklearn_12linear_model_8sgd_fast_18EpsilonInsensitive__dloss__pyx_v_childnb_coerceshort int__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_SquaredEpsilonInsensitive__pyx_v_copy_shape__pyx_v_end_vtable_offsetPyErr_Occurredtp_basicsizenofailnb_inplace_subtract__pyx_v_datasetco_cellvars__pyx_k_plain_sgdctversionalign_atis_strnb_divmod__pyx_tp_new_7sklearn_12linear_model_8sgd_fast_Hingeobjobjproc__Pyx_TypeTest__pyx_vtable_7sklearn_12linear_model_8sgd_fast_RegressionPyInterpreterStatePGTG
aTGUGóõ)Ÿ`GdG
adGeGóõ)ŸpGtG
atGuGóõ)Ÿ€G„G
a„G…Góõ)ŸG”G
a”G•Góõ)Ÿ G¤G
a¤G¥Góõ)Ÿ°G¼G
a¼GÀG
cÀGõGóõ)ŸÀGðG
cðGõG
óõ)õ)ŸÊGËG
aâGãG
aôGõG
aHH
aHH
cHUHóõ)ŸH:H
b:HCHóõ)ŸCHPH
bPHUHóõ)ŸH6H
c6H:H
óõ)õ)Ÿ:HCHóõ)óõ)ŸCHUH
cHH
aBHCH
aTHUH
a`HdH
adH…Hóõ)Ÿ`HiH
biH…Hóõ)ŸdHwH
awHxHóõ)óõ)ŸxH„H
a„H…Hóõ)óõ)ŸwHxH
a„H…H
aH”H
a”HµHóõ)ŸH”Hõ)õ)Ÿ”H§H
a§H¬H
óõ)õ)Ÿ¬H´H
a´HµH
óõ)õ)Ÿ«H¬H
a´HµH
aÀHÄH
aÄHáHóõ)ŸðHôH
aôHIóõ)ŸðHI
bIIóõ)Ÿ I,I
a,I0I
c0I9Ióõ)Ÿ0I8Iõ)ô)à?õ)Ÿ8I9I
a@IDI
aDIEIóõ)Ÿ@IDIõ)õ)ŸDIEI
aPI\I
a\I`I
c`I¡Ióõ)ŸPIeI
beI¡Ióõ)Ÿ`IwI
cwIˆIóõ)óõ)ŸˆI¡I
ciI{I
aˆI˜I
a‡IˆI
a I¡I
a°I´I
a´IíIóõ)Ÿ°IÁI
bÁIíIóõ)Ÿ´IÙI
aÙIÛIóõ)óõ)ŸÛIèI
aèIíIóõ)óõ)Ÿ´IÙIõ)ŸÙIÛI
óõ)óõ)ŸÛIèIõ)ŸèIíI
óõ)óõ)ŸÙIÛI
aìIíI
aðIüI
aüIJóõ)ŸðIôI
bôIJóõ)ŸJ
J
b J7J
a7JQJóõ)ŸQJ`J
a`JaJóõ)ŸAJBJ
apJ|J
a|J™Jóõ)ŸpJtJ
btJ™Jóõ)Ÿ J½J
a½JÊJóõ)ŸÊJÔJ
aÔJÕJóõ)ŸÕJäJ
aäJéJóõ)Ÿ J¤J
b¤JéJóõ)Ÿ¤JÜJ
bÜJäJ
óõ)õ)ŸäJéJóõ)óõ)ŸÉJÊJ
aÔJÕJ
aèJéJ
aðJüJ
UüJýJó
UŸK(K
P(K+Kp:Ÿ3KCK
PKK
RKCK
QCKIK
RÀLáL
TáL#Mó
TŸ#M*M
P*M4M
T4M6Mx
ŸÀLáL0ŸáLM
Y#M6M0ŸÀLáL0ŸáLóL
PóLM0ŸMM
P#M6M0ŸÀLÇLtŸÇLáL
XMM
P#M6M
X@MWM
UWMmMó
UŸmMtM
PtM‚M
U‚M…Mó
UŸ@MRM
TRMmMó
TŸmM}M
T}M…Mó
TŸ@MWM
QWMmMó
QŸmMvM
QvM…Mó
QŸ]MhM
PXMmM
PƒM…M
PM˜M
U˜M®Mó
UŸM˜M
T˜M®Mó
TŸM˜M
Q˜M®Mó
QŸžM©M
P°M¸M
U¸MÎMó
UŸ°M¸M
T¸MÎMó
TŸ°M¸M
Q¸MÎMó
QŸ¾MÉM
PÐMØM
UØMîMó
UŸÐMØM
TØMîMó
TŸÐMØM
QØMîMó
QŸÞMéM
PðMøM
UøMNó
UŸðMøM
TøMNó
TŸðMøM
QøMNó
QŸþM	N
PNN
UN.Nó
UŸNN
TN.Nó
TŸNN
QN.Nó
QŸN)N
P0N8N
U8NNNó
UŸ0N8N
T8NNNó
TŸ0N8N
Q8NNNó
QŸ>NIN
PPNXN
UXNnNó
UŸPNXN
TXNnNó
TŸPNXN
QXNnNó
QŸ^NiN
PpNxN
UxNŽNó
UŸpNxN
TxNŽNó
TŸpNxN
QxNŽNó
QŸ~N‰N
PN˜N
U˜N®Nó
UŸN˜N
T˜N®Nó
TŸN˜N
Q˜N®Nó
QŸžN©N
P°N¸N
U¸NÎNó
UŸ°N¸N
T¸NÎNó
TŸ°N¸N
Q¸NÎNó
QŸ¾NÉN
PÐN!O
U!O'O
Q'O-Oó
UŸ-O<O
UÐN
O
T
O-Oó
TŸ-O<O
TÐNêN
QêN-Oó
QŸ-O3O
P3O<O
QÐNãN
RãN-Oó
RŸ-O:O
R:O<O
PÐNóN
XóN'Ow'O-Oó
XŸ-O<O
XãNO
PO'O
XãN'O
R@ObO
UbOOó
UŸO´O
U´OÎOó
UŸÎOàO
U[O†O
V[OfOspkO}O
Q­OÎO
V­OÎO
SàO
P
U
PPó
UŸêO
PpÿŸÀ>ô>
Uô>þ>ó
UŸþ>?
U?‡?ó
UŸá>ô>
Pþ>?
PÀ>ð>0Ÿð>þ>
âöŸþ>?0Ÿ??
æöŸ?K?
QÀ>õ>0Ÿõ>þ>
Pþ>
?0Ÿ
?4?
P4?[?
SP2P
U2P8Pó
UŸ8PJP
UJPpPó
UŸpPP
UP™Pó
UŸ™PªP
UªP·Pó
UŸ·P»P
U»PýPó
UŸ+P2P
PpPP
PPPuP“Pó
U#pP™P0ŸNP\P
P\PjP
QUPpP0ŸÓPóP
PóPýP‘l¿PÂP
PÂPýP
SQQ
UQQó
UŸQ Q
U Q!Qó
UŸ!Q%Q
U%Q&Qó
UŸQQ
TQQó
TŸQQ
TQ Qt\Ÿ Q!Qó
TŸ!Q%Q
T%Q&Qó
TŸQQ
QQ Q
Q!Q%Q
Q0QqQ
UqQ˜Qó
UŸ˜Q»Q
U»QÔQó
UŸ0Q4Q
a4QÔQóõ)Ÿ0QqQ
bqQQwQ˜QwX˜Q»Q
b»QÔQ‘h4QXQ
aXQaQ
óõ)õ)ŸaQqQ
aqQQóõ)wö)ŸQ˜Qóõ)wXö)Ÿ˜Q²Q
a²Q»Q
óõ)õ)Ÿ»QÔQóõ)‘hö)Ÿ`QaQ
a—Q˜Q
aÓQÔQ
aàQ$R
U$R6Ró
UŸ6RPR
UPRQRó
UŸàQäQ
aäQQRóõ)ŸàQöQ
böQ6Róõ)Ÿ6RHR
bHRQRóõ)ŸäQR
aR	Róõ)óõ)Ÿ	R R
a R6Róõ)óõ)Ÿ6RLR
aLRQRóõ)óõ)ŸR	R
a`RiR
UiRªR
VªR«Ró
UŸ«RÑR
VÑRÒRó
UŸÒRðR
VðRñRó
UŸ`RkR
TkRtR
UtRñRó
TŸ{RŽR
PŽR©R
S«RÐR
SÒRïR
S‡?½?
U½?A
\A$Aó
UŸ‡?½?
T½?A
]A$Aó
TŸ‡?½?
Q½?$A‘è}‡?½?
R½?!A
^!A$Aó
RŸ´?ä?0Ÿ.@×@0Ÿ×@ç@
V
AA0Ÿ´?@0Ÿ@@
P@·@
_·@¾@
P¾@×@
_×@ç@0Ÿ
AA
_´?û?0Ÿû?@
P@@
S@×@0Ÿ×@á@
Pá@ç@
S
AA0Ÿg@—@ ­@Ë@
QË@Ô@ ´?½?
U½?A
\A$Aó
UŸ´?Ä?0ŸÄ?Ñ?
PÑ?û?
S´?Ø?0ŸØ?Þ?
PÞ?ç@
V
AA
V$A2A
U2A‘Aó
UŸKAQA
PQAˆA
V9ADA
PDAˆA
SˆAŠA
PŠAŒA
SSPS
UPSwS
VwSTó
UŸTT
UT}T
V}TLUó
UŸLUjU
VjU¸Uó
UŸ¸UúU
VúUWVó
UŸSSS
TSS|S
]|STó
TŸTT
TT´T
]´TLUó
TŸLUU
]U¸Uó
TŸ¸UúU
]úUWVó
TŸSMS
QMSÔS
\ÔSÛSó
QŸÛSóS
\óSûSó
QŸûST
\TT
QTWV
\SWS
RWS|S‘¸|STó
RŸTT
RTGU‘¸GULUó
RŸLU4V‘¸4V9Vó
RŸ9VWV‘¸S|S0Ÿ|SÌS
VÛSëS
VûST
VSŠS0ŸŠS™S
P™S¥S
QTWV0ŸS¬S0Ÿ¬S¹S
P¹SÌS
SÛSëS
SûST
STWV0Ÿ S-S
Q3S|S
^TT
QTT
\¸UÈU
^wS|S
VXSgS
PTT0Ÿ¸UúU
\TT0Ÿ¸UúU
]TT
UT}T
V}TLUó
UŸLUjU
VjU¸Uó
UŸ¸UúU
VúUWVó
UŸT}T0Ÿ}TƒT
PƒTLU
VLUjU0ŸjUtU
PtU¸U
V¸UúU0ŸúUWV
VTT0ŸT'T
P'TÕT
^LUU
^¸UÈU0ŸÈUíU
PíU9V
^T+T0Ÿ+TuT
PuT¦T
SLUjU0ŸjUU
S¸UõU0ŸõUúU
P¨TLU
VU¸U
VúUWV
V¨T´T
\´TLU
]U¸U
]úUWV
]ÕT/U
^U¸U
^9VWV
^ýTU
TULU
X¨TLU
SU™U
S™U¸U
PúUV
SV9V
P9VWV
S„U¸U
_=VQV
U`V­V
U­V:W
S:WDWó
UŸDWãZ
SãZïZó
UŸïZ®[
S®[¸[ó
UŸ¸[â[
Sâ[ì[ó
UŸì[s\
SWW
\æWDX
\ÈXòX
\JZšZ
\ïZ±[
\ì[K\
\WW
R/XPX
R`VÑV1ŸÑVæV
^òVW
^DW‹W1Ÿ‹WêZ
^êZîZ
ŸïZµ[
^µ[·[
Ÿ¸[é[
^é[ë[
Ÿì[K\
^K\s\1Ÿ¶VÑV0Ÿ”V­V0Ÿ­VòV
XDW^W0Ÿ^W€W1ŸK\h\
XøVW
T‹W“W
T¢YäY
TäYíYsÀøVW
Q‹W“W
Q¢YíY
QÖYíY
QWW
V«W]X
V]XX
RX¤X
Q¿X¢Y
V
ZšZ
VšZ³Z
R³ZÓZ
VïZ¯[
V¸[È[
RÈ[ã[
Vì[K\
VWW
]³W¢Y
]
ZèZ
]ïZ³[
]¸[ç[
]ì[K\
]¿W×W
TCY[Y
T¿W×W
QCY[Y
Q
Z.Z
T
ZDZ
Q}Y†Y
Q‡X”Xtu"Ÿ”X¤X
T¸[È[tu"Ÿ
[[
QÔXòXsÀïZU[sÀ^[£[sÀì[4\sÀÔXòX
TïZU[
T^[š[
Tš[£[sÄì[\
T\4\sā[š[
Tš[£[sÄ[9[sÀG[U[sÀz[[sÀì[4\sÀ[9[
TG[U[
Tz[[
Tì[\
T\4\sāZšZ
P‘AšA
UšA+Bó
UŸ¡A§A
P§A"B
S"B%B
P%B*B
S£A§A
P§A"B
S£A"B	ÿŸ£A"B0Ÿ¹AÅA
Q×AßA
PßAúA0Ÿ+BEB
TEB“B
S“B™Bó
TŸnB’B
S€\\
U\2]ó
UŸ€\\
T\2]ó
TŸ€\Ð\0Ÿ×\ø\0Ÿú\2]0Ÿ€\Ð\0ŸÐ\×\
P×\ø\0Ÿø\ú\
Pú\2]0Ÿ€\–\0Ÿ–\¡\
P¡\®\
V®\¸\0Ÿ¸\Ð\
P×\Ü\
Pú\]0Ÿ]0]
V€\¨\0Ÿ¨\·\
P·\Ð\
S×\Ü\0Ÿú\]
S]2]0Ÿ€\Ð\0Ÿ×\Ü\0Ÿú\2]
I
Ÿ€\Ð\0Ÿ×\Ü\0Ÿú\2]
!÷Ÿ€\Ð\0Ÿ×\Ü\0Ÿú\]
Ÿ]2]
Ÿ@]O]
UO]ò]ó
UŸ@]O]
TO]ò]ó
TŸ@]]0Ÿ—]¸]0Ÿº]ò]0Ÿ@]]0Ÿ]—]
P—]¸]0Ÿ¸]º]
Pº]ò]0Ÿ@]V]0ŸV]a]
Pa]n]
Vn]x]0Ÿx]]
P—]œ]
Pº]Ú]0ŸÚ]ð]
V@]h]0Ÿh]w]
Pw]]
S—]œ]0Ÿº]Ú]
SÚ]ò]0Ÿ@]]0Ÿ—]œ]0Ÿº]ò]
,
Ÿ@]]0Ÿ—]œ]0Ÿº]ò]
!÷Ÿ@]]0Ÿ—]œ]0Ÿº]Ú]
ןÚ]ò]
ÒŸ^^
U^²^ó
UŸ^^
T^²^ó
TŸ^P^0ŸW^x^0Ÿz^²^0Ÿ^P^0ŸP^W^
PW^x^0Ÿx^z^
Pz^²^0Ÿ^^0Ÿ^!^
P!^.^
V.^8^0Ÿ8^P^
PW^\^
Pz^š^0Ÿš^°^
V^(^0Ÿ(^7^
P7^P^
SW^\^0Ÿz^š^
Sš^²^0Ÿ^P^0ŸW^\^0Ÿz^²^

Ÿ^P^0ŸW^\^0Ÿz^²^
!÷Ÿ^P^0ŸW^\^0Ÿz^š^
°Ÿš^²^
«ŸÀ^É^
UÉ^_ó
UŸÀ^Í^
TÍ^_ó
TŸÀ^ñ^0Ÿö^_0ŸÀ^ñ^0Ÿñ^ö^
Pö^_0ŸÀ^Î^0ŸÎ^ñ^
Pö^_
P__‘hÀ^ñ^0Ÿö^_0Ÿ__íŸÀ^ñ^0Ÿö^_0Ÿ__
!÷ŸÀ^ñ^0Ÿö^_0Ÿ__
Z
Ÿ _)_
U)__ó
UŸ _-_
T-__ó
TŸ _Q_0ŸV__0Ÿ _Q_0ŸQ_V_
PV__0Ÿ _._0Ÿ._Q_
PV_w_
Pw__‘h _Q_0ŸV_s_0Ÿs__០_Q_0ŸV_s_0Ÿs__
!÷Ÿ _Q_0ŸV_s_0Ÿs__
ÑŸ€__
U_2`ó
UŸ€__
T_2`ó
TŸ€_Ð_0Ÿ×_ø_0Ÿú_2`0Ÿ€_Ð_0ŸÐ_×_
P×_ø_0Ÿø_ú_
Pú_2`0Ÿ€_–_0Ÿ–_¡_
P¡_®_
V®_¸_0Ÿ¸_Ð_
P×_Ü_
Pú_`0Ÿ`0`
V€_¨_0Ÿ¨_·_
P·_Ð_
S×_Ü_0Ÿú_`
S`2`0Ÿ€_Ð_0Ÿ×_Ü_0Ÿú_2`ȟ€_Ð_0Ÿ×_Ü_0Ÿú_2`
!÷Ÿ€_Ð_0Ÿ×_Ü_0Ÿú_`
ÝŸ`2`
ØŸ@`O`
UO`ò`ó
UŸ@`O`
TO`ò`ó
TŸ@``0Ÿ—`¸`0Ÿº`ò`0Ÿ@``0Ÿ`—`
P—`¸`0Ÿ¸`º`
Pº`ò`0Ÿ@`V`0ŸV`a`
Pa`n`
Vn`x`0Ÿx``
P—`œ`
Pº`Ú`0ŸÚ`ð`
V@`h`0Ÿh`w`
Pw``
S—`œ`0Ÿº`Ú`
SÚ`ò`0Ÿ@``0Ÿ—`œ`0Ÿº`ò`¨Ÿ@``0Ÿ—`œ`0Ÿº`ò`
!÷Ÿ@``0Ÿ—`œ`0Ÿº`Ú`
«
ŸÚ`ò`
¦
Ÿa	a
U	a_aó
UŸa
a
T
a_aó
TŸa1a0Ÿ6a_a0Ÿa1a0Ÿ1a6a
P6a_a0Ÿaa0Ÿa1a
P6aWa
PWa_a‘ha1a0Ÿ6aSa0ŸSa_aˆŸa1a0Ÿ6aSa0ŸSa_a
!÷Ÿa1a0Ÿ6aSa0ŸSa_a
z	Ÿ™B½B
U½B¬C‘¸™B±B
T±BãB
]ãBQCó
TŸQCTC
]TC¬Có
TŸ™BãB0ŸãBèB
PèBQC
\QCVC0Ÿ]CšC
\™BCC0ŸCCIC
PICQC
]QC`C0Ÿ`CšC
]™BúB0ŸúBC
PCQC
^QCVC0Ÿ]C`C
^™BC0ŸCC
PCQC
SQC]C0Ÿ]CšC
SèBCC
]]C`C
]ÈBÜB
PÜBQC
VQCVC
PVC£C
VC'C
P'C<C
Y<CQC
_`aßa
 d!Ÿßab
Pb
b
Pbb
Ub”b
V”b•bó
UŸ•bÄb
VÄbÅbó
UŸÅbéb
Vébêbó
UŸb1b0Ÿ1b>b
P>b“b
S•bÃb
SÅbÞb0Ÿ+b>b
P>b“b
S•bÃb
SÅbÏb
PÏbèb
S¬CøC
UøC
F
_
FFó
UŸ¬CøC
TøC´D
S´DêDó
TŸêD+E
S+EKEó
TŸKEwE
SwEÓEó
TŸÓEóE
SóEFó
TŸ¬CøC
QøCF‘¬CøC
RøCFó
RŸ¬CøC
XøCF‘˜D9D
P?DaD
VaD„D
Q„D¤D‘ˆ¨DªD
QêDøD
VøD
E
QKETE
QTEuE‘ˆuEwE
QÓEóE
V¼CùE
VùEF
ó
R3$ó
T"Ÿ´DêD
S
E!E0ŸUEbE
P+E0E
SwE¤E
SŒE”E
P¤E­E}¤E½E‘˜ðb2c
U2c²c
V²c¹có
UŸ¹c@d
V@dGdó
UŸGdjd
Ujd;e
V;eRe
URe­e
Vðb@c
T@cGc
SGc×có
TŸ×c d
S dGdó
TŸGdµd
Sµd;eó
TŸ;e­e
Sðb6c
Q6c´c
\´c¹có
QŸ¹cBd
\BdGdó
QŸGdnd
Qnd;e
\;eRe
QRe­e
\Vcdc
cßdîd
cîdew‚cc
bee
be;e‘¸ðbd0ŸdGdBŸGd6e0Ÿ6e;eBŸ;e£e0Ÿ£e­eBŸðbd0ŸdGd
!÷ŸGd6e0Ÿ6e;e
!÷Ÿ;e£e0Ÿ£e­e
!÷Ÿðbd0Ÿd d
ÁŸ d7d
TGd6e0Ÿ6e;e
½Ÿ;e£e0Ÿ£e­e
°Ÿðb¬c0Ÿ¹cÚd0Ÿßd­e0Ÿ×céc
Pécüc~
Ÿudd
Pdµd
^Re­e
^×cüc
]Kdµd
];e­e
]cc
bcc
cc²c
V²c¹có
UŸµdßd
Vc¬c0ŸµdÚd0ŸÚdßd
Pc£c0Ÿ£c¬c
PµdÕd
PÕdßdwc¬c0ŸµdÑd0ŸÑdßdQŸc¬c0ŸµdÑd0ŸÑdßd
!÷Ÿc¬c0ŸµdÑd0ŸÑdßd
ߟ°eée
Uée(f
V(f-fó
UŸ-f7f
U7fmf
Vmfrfó
UŸrf’f
V’f¨f
U¨fëf
Vëfîf
UîfJg
V°eîe
Tîe-fó
TŸ-f9f
T9f’fó
TŸ’f±f
T±fëfó
TŸëfòf
TòfJgó
TŸ°eîe
Qîe'f
S'f-fó
QŸ-f@f
Q@flf
Slfrfó
QŸrf’f
S’f±f
Q±fëf
Sëfòf
QòfJg
S
f-f
aÁfÑf
aÑfëf‘¸°eEf0ŸEfrf˜Ÿrfæf0Ÿæfëf˜ŸëfJg0Ÿ°eEf0ŸEfrf
!÷Ÿrfæf0Ÿæfëf
!÷ŸëfJg0Ÿ°eEf0ŸEfJf
Ð	ŸJfaf
Trfæf0Ÿæfëf
É	ŸëfJg0Ÿ²f·f
Pùf	g
P	gg
]gg
P-f0f
\–fÁf
\ëfJg
\
gg
Pgg‘@f(f
V(f-fó
UŸf-f
a f-f0ŸPg‰g
U‰gÈg
VÈgÍgó
UŸÍg×g
U×g
h
V
hhó
UŸh2h
V2hHh
UHh‹h
V‹hŽh
UŽhêh
VPgŽg
TŽgÍgó
TŸÍgÙg
TÙg2hó
TŸ2hQh
TQh‹hó
TŸ‹h’h
T’hêhó
TŸPgŽg
QŽgÇg
SÇgÍgó
QŸÍgàg
Qàgh
Shhó
QŸh2h
S2hQh
QQh‹h
S‹h’h
Q’hêh
S­gÍg
aahqh
aqh‹h‘¸Pgåg0Ÿågh¸Ÿh†h0Ÿ†h‹h¸Ÿ‹hêh0ŸPgåg0Ÿågh
!÷Ÿh†h0Ÿ†h‹h
!÷Ÿ‹hêh0ŸPgåg0Ÿågêg
Ÿêg
h
Th†h0Ÿ†h‹h
û
Ÿ‹hêh0ŸRhWh
P™h©h
P©h¸h
]¸hºh
PÍgÐg
\6hah
\‹hêh
\ªh¸h
P¸hºh‘@»gÈg
VÈgÍgó
UŸ»gÍg
aÀgÍg0Ÿðh%i
U%i[i
\[i`ió
UŸ`igi
\giji
Uji	j
\	j#j
U#j<j
\<jDj
UDjpj
\ðh*i
T*iXi
SXi`ió
TŸ`ipj
Sðh*i
Q*iYi
VYi`ió
QŸ`igi
Vgini
Qni	j
V	j,j
Q,j<j
V<jDj
QDjpj
V<iJi
aâiòi
aòi	j‘¸ðhSi0Ÿ`i»i0Ÿ»iâiûŸâij0Ÿj	jûŸ	jpj0ŸðhSi0Ÿ`i»i0Ÿ»iâi
!÷Ÿâij0Ÿj	j
!÷Ÿ	jpj0ŸðhSi0Ÿ`i»i0Ÿ»iÀi
¨
ŸÀi×i
Tâij0Ÿj	j
¤
Ÿ	jpj0Ÿ|i€i
P€iši
^-j2j
PDjaj
Pgiši
]
jpj
]JiSi
\JiSi
aQiSi0Ÿpj¥j
U¥jÛj
\Ûjàjó
UŸàjçj
\çjêj
Uêj‰k
\‰k£k
U£k¼k
\¼kÄk
UÄkðk
\pjªj
TªjØj
SØjàjó
TŸàjðk
Spjªj
QªjÙj
VÙjàjó
QŸàjçj
Vçjîj
Qîj‰k
V‰k¬k
Q¬k¼k
V¼kÄk
QÄkðk
V¼jÊj
abkrk
ark‰k‘¸pjÓj0Ÿàj;k0Ÿ;kbk

Ÿbk‡k0Ÿ‡k‰k

Ÿ‰kðk0ŸpjÓj0Ÿàj;k0Ÿ;kbk
!÷Ÿbk‡k0Ÿ‡k‰k
!÷Ÿ‰kðk0ŸpjÓj0Ÿàj;k0Ÿ;k@k
ÿŸ@kWk
Tbk‡k0Ÿ‡k‰k
ûŸ‰kðk0Ÿüjk
Pkk
^­k²k
PÄkák
Pçjk
]kðk
]ÊjÓj
\ÊjÓj
aÑjÓj0Ÿðk%l
U%l[l
\[l`ló
UŸ`lgl
\gljl
Ujl	m
\	m#m
U#m<m
\<mDm
UDmpm
\ðk*l
T*lXl
SXl`ló
TŸ`lpm
Sðk*l
Q*lYl
VYl`ló
QŸ`lgl
Vglnl
Qnl	m
V	m,m
Q,m<m
V<mDm
QDmpm
V<lJl
aâlòl
aòl	m‘¸ðkSl0Ÿ`l»l0Ÿ»lâl
7
Ÿâlm0Ÿm	m
7
Ÿ	mpm0ŸðkSl0Ÿ`l»l0Ÿ»lâl
!÷Ÿâlm0Ÿm	m
!÷Ÿ	mpm0ŸðkSl0Ÿ`l»l0Ÿ»lÀl
&ŸÀl×l
Tâlm0Ÿm	m
"Ÿ	mpm0Ÿ|l€l
P€lšl
^-m2m
PDmam
Pglšl
]
mpm
]JlSl
\JlSl
aQlSl0ŸFF
UFYF
VYFZFó
UŸF$F
P$FKF
SMFPF
SFYF
VYFZFó
UŸ%FBF
PBFMF‘XMFPF
Ppm¢m
U¢m¯o
^¯o²oó
UŸ²oMq
^MqPqó
UŸPq”q
^”q—qó
UŸ—qPs
^pm¢m
Tpmãn0Ÿãn#o
\#o3o0Ÿ3oZo
\Zosp0Ÿsp«p1Ÿ«p?q0ŸPqr0Ÿr.r1Ÿ.rPs0ŸµnÑn‘˜…r’r‘˜ÂnÑn
P…rr
P…r’r‘˜Àm™n‘˜Øqýq‘˜br…r‘˜’rs‘˜3sPs‘˜Àm™n
^Øqýq
^br…r
^’rs
^3sPs
^¤nµn
TÉmn0Ÿn™n
_Øqýq
_br…r0Ÿ’rs
_3sPs
_ám™n
\Øqýq
\br…r
\’rs
\3sPs
\!n{n
VØqýq
V’r¹r
Vúrs
V)nZn
Pòqýq
Púrs
Pss
Ròqýq
VpXp
Sšp«pZŸq9q
P:q?q
P?rYr
PYrbr
Tqq0Ÿq?q
_¸p?q
\?rbr
\s3s
\ÅpÉp
PÉpßp~8ßp?q‘ ?rbr‘ s+s~8+s3s‘ Ps`s
U`s†s
V†s‡só
UŸ‡sÆs
V`s†s
V†s‡só
UŸ‡sÆs
V`sts
U‡s•s
U¹sÀs
Udsts
R‡s•s
R¹sÀs
R›s¹s
VÐs_t
U_t
uó
UŸ
u@u
U@uJuó
UŸJuou
Uouæuó
UŸæuv
Uvlvó
UŸçsús‘XúsJu0ŸJuRu‘XRu[u0Ÿ[u`u‘P`ulv0Ÿðsús‘XúsJu0ŸJuRu‘XRu[u0Ÿ[u`u‘P`ulv0Ÿtu®u‘X®u´u
QWvfv
Qtu®u‘Ptu®u‘H‡u´u
UWvfv
U”uæu
VEvlv
V˜uæu
SEvlv
Sƒu´u
PWvdv
Ppväv
Qäv[x
Sáyz
SŸzøz
S{Ö|
Sã|—}
S~~
S®~ì~
Sû~
S8
SE€
S€'€
S¨€8
SJ’
S¡ö
S‚*‚
S\‚‘‚
Ŝ݂
Sò‚ƒ
S±ƒ¶ƒ
SÃЃ
S„„
S,„1„
Sw„à„
Sò„ü„
S……
S…?…
Q?…h…ó
QŸh…r…
S…†
S††
S¦†«†
Sµ†º†
Sdž÷†
S‡‡
S"‡'‡
S4‡F‡
SP‡·
SۇYˆ
Sfˆäˆ
Sñˆo‰
S|‰ú‰
SŠ…Š
S’Š‹
S‹›‹
S¨‹.Œ
S;ŒL
SΌT
Saߍ
Sì&Ž
S.3
S=B
SOT
S^c
Spu
S„
S‘–
S ¥
S²·
SOƏ
Sӏ؏
Sâç
Sôù
S
S
S$)
S6;
SEJ
SW\
Sfk
Sx}
S‡Œ
S™ž
S¨­
Sº¿
Sɐΐ
Spv¼v
R¼v…‘˜…?…
R?…ې‘˜pväv
Xävmx
Vmxáyó
XŸáy’z
V’zŸzó
XŸŸzÛ|
VÛ|ã|ó
XŸã|—}
V—}~ó
XŸ~~
V~®~ó
XŸ®~ñ~
Vñ~û~ó
XŸû~

V
ó
XŸ=
V=Eó
XŸE€
V€€ó
XŸ€9€
V9۬ۗ
XŸ¨€=
V=Jó
XŸJ—
V—¡ó
XŸ¡û
Vû‚ó
XŸ‚/‚
V/‚\‚ó
XŸ\‚–‚
V–‚̂ó
XŸ̂â‚
Vâ‚ò‚ó
XŸò‚ƒ
Vıė
XŸ±ƒ»ƒ
V»ƒÃó
XŸÃՃ
VՃâƒó
XŸâƒñƒ
Vñƒ„ó
XŸ„$„
V$„,„ó
XŸ,„6„
V6„w„ó
XŸw„å„
Vå„ò„ó
XŸò„
…
V
……ó
XŸ……
V……ó
XŸ…?…
X?…h…ó
XŸh…w…
Vw……ó
XŸ…†
V††ó
XŸ††
V†¦†ó
XŸ¦†°†
V°†µ†ó
XŸµ†¿†
V¿†džó
XŸdžü†
Vü†‡ó
XŸ‡‡
V‡"‡ó
XŸ"‡,‡
V,‡4‡ó
XŸ4‡K‡
VK‡P‡ó
XŸP‡Ӈ
VӇۇó
XŸۇ^ˆ
V^ˆfˆó
XŸfˆéˆ
Véˆñˆó
XŸñˆt‰
Vt‰|‰ó
XŸ|‰ÿ‰
Vÿ‰Šó
XŸŠŠŠ
VŠŠ’Šó
XŸ’Š‹
V‹‹ó
XŸ‹ ‹
V ‹¨‹ó
XŸ¨‹3Œ
V3Œ;Œó
XŸ;Œƌ
VƌΌó
XŸΌY
VYaó
XŸaä
Väìó
XŸì5Ž
V5Ž.ó
XŸ.8
V8=ó
XŸ=G
VGOó
XŸOY
VY^ó
XŸ^h
Vhpó
XŸpz
Vzó
XŸ‰
V‰‘ó
XŸ‘›
V› ó
XŸ ª
Vª²ó
XŸ²¼
V¼Oó
XŸOˏ
Vˏӏó
XŸӏݏ
Vݏâó
XŸâì
Vìôó
XŸôþ
Vþó
XŸ

V
ó
XŸ
V$ó
XŸ$.
V.6ó
XŸ6@
V@Eó
XŸEO
VOWó
XŸWa
Vafó
XŸfp
Vpxó
XŸx‚
V‚‡ó
XŸ‡‘
V‘™ó
XŸ™£
V£¨ó
XŸ¨²
V²ºó
XŸºĐ
VĐɐó
XŸɐӐ
VӐېó
XŸpvÚv0ŸÚväv
Rävw
Ywyw5ygywáy{w{e{
Ye{†{w†{•{
Y•{¤{wÆ{—}wÅ}Î}
RÎ}®~w®~À~
YÀ~JwƒĄwò„…w…h…0Ÿh…ېwpvÚv0ŸÚväv
RävNw
\Nwy‘ø~5y{‘ø~{M{
\M{e{
^e{†{‘ø~†{¤{
\¤{®~‘ø~®~Ý~
\Ý~â~
^â~\‚‘ø~\‚Â
\ÂĄ‘ø~Ąׄ
\ׄè„
^è„…‘ø~…h…0Ÿh…ې‘ø~pvÚv0ŸÚväv
Rävÿv
Uÿvw
Pwy‘€5y{‘€{e{
Ue{†{‘€†{Š{
PŠ{®~‘€®~º~
Uº~â~
_â~…‘€…h…0Ÿh…ې‘€pvÚv0ŸÚväv
Rävw
Z¬wy
\5yÚy
\áy{
\{e{
Ze{†{
\†{•{
Z•{¤{‘ø~ß{®~
\®~À~
ZÀ~Õ~‘ø~â~J
\ƒĄ
\ò„…
\…h…0Ÿh…ې
\pvÚv0ŸÚväv
Räváx‘ áxy‘ˆ5yáy‘ˆáyþz‘ {|‘ ||
P|~‘ˆ~‘ .‘ˆ.±ƒ‘ ±ƒÃ‘ˆÃ„‘ „;„‘ˆ;„…‘ ……‘ˆ…h…0Ÿh……‘ …4‡‘ˆ4‡A‡‘ A‡ې‘ˆ5y×y
S×yáy
P—}Õ}
SpvÂv0ŸÂväv
Pävy‘¨áy—}‘¨Õ}å}‘¨å}ð}
Rð}…‘¨…h…0Ÿh…ې‘¨ÆvÚv0ŸÚvÿv
Rÿváx‘áy{‘{1{
R1{—}‘~΁‘‚!‚‘\‚…‚‘̂
ƒ‘ƒ…‘h…ې‘pvÿv0Ÿÿvw
Pww‘€w.w0Ÿ.wAw
PAw^w‘ø~^ww0Ÿww
Pw¬ww¬wáw0Ÿáwñw
Pñw.x
_.xµx0Ÿáxy
_áy.z0ŸSzŸz0Ÿ¬ze{0Ÿe{w{
_w{{{
P{{†{
_†{Š{
PŠ{¤{‘€¤{Æ{‘ø~Æ{ß{wß{g|0Ÿg|w|
Pw|¢|
_¢|½|0Ÿ½|ò|
_ò|}0Ÿ}}
P}5}
_5}y}0Ÿy}}}
P}}ˆ}
_ˆ}—}0ŸÕ}~
_~f~0Ÿ®~â~0Ÿ‰0Ÿ‰™
P™Ô
_Ôå0Ÿå€
_€¸€0Ÿ¸€π
Pπæ€
_æ€J0ŸJN
PNw¡\‚0Ÿ\‚¸‚‘ø~̂=ƒ0Ÿ\ƒpƒ0Ÿƒ„0Ÿ„,„
P,„;„
_;„N„0ŸY„l„0Ÿw„…„
_…„‰„
U‰„Ą
_ĄɄ
PɄԄ‘ø~ò„…
_……
P…h…0Ÿh…m…
Pm……
_…¯…0Ÿ¯…¿…
P¿…í…
_í…þ…0Ÿþ…†
_†"†
P"†¦†0Ÿ¦†µ†
Pµ†‡0Ÿ‡"‡
_"‡4‡0Ÿ4‡8‡
U8‡A‡
_A‡P‡
PP‡`‡0Ÿ`‡w‡
Pw‡”‡
_”‡	ˆ0Ÿ	ˆˆ
PˆGˆ
_GˆTˆ0ŸTˆfˆ
_fˆvˆ0Ÿvˆˆ
Pˆªˆ
_ªˆ‰0Ÿ‰/‰
P/‰]‰
_]‰j‰0Ÿj‰|‰
_|‰Œ‰0ŸŒ‰£‰
P£‰	
_	5Š0Ÿ5ŠEŠ
PEŠsŠ
_sŠ€Š0Ÿ€Š’Š
_’Š¢Š0Ÿ¢Š¹Š
P¹Š֊
_֊K‹0ŸK‹[‹
P[‹‰‹
_‰‹–‹0Ÿ–‹¨‹
_¨‹¸‹0Ÿ¸‹ϋ
Pϋì‹
_ì‹iŒ0ŸiŒyŒ
PyŒ§Œ
_§Œ¼Œ0Ÿ¼ŒΌ
_Όތ0ŸތõŒ
PõŒ
_0ŸŸ
PŸ͍
_͍ڍ0Ÿڍì
_썎0ŸŽŽ
PŽ*Ž
_*ŽyŽ0Ÿ¬Ž̎0ŸýŽ&0Ÿ.=
_=^
P^p0Ÿp
_ 
P ²0Ÿ²O
_Oâ
Pâô0Ÿô
_$
P$60Ÿ6E
_Ef
Pfx0Ÿx‡
_‡¨
P¨º0Ÿºɐ
_ɐې
Ppvw0Ÿw»w
\»wÊw0Ÿñwáx0Ÿáxy
^áyíy0Ÿíyz
^zGz0ŸGzSz
PSzŸz
^Ÿz¤z
P¤zºz
^ºzw{0Ÿ†{Æ{0ŸÆ{î{
\î{ÿ{0Ÿ'|I|0ŸI|`|
P`|w|
^w|%}0Ÿ%}5}
P5}h}
^h}y}0Ÿy}ˆ}
^Õ}~
^~â~0Ÿâ~ç~
Pç~û~
^û~0ŸR
^Rk0Ÿk‚
P‚Ÿ
^Ÿå0Ÿåé
Péô
^ô€0Ÿ¨€ր0Ÿրæ€
P态
^.0ŸJ‰
\‰¡
^¡±ƒ0Ÿ±ƒÃ
Pâƒ,„0Ÿ,„;„
P;„…0Ÿ……
^…h…0Ÿ…‘…0Ÿ‘…¨…
P¨…Ņ
^Ņ"†0ŸA†a†0Ÿv†Ÿ†0Ÿ¦†µ†
^µ†dž
Pdž‡
^‡‡
P‡‡
^‡4‡
P4‡A‡0ŸA‡P‡
^P‡~‡0Ÿ~‡Ž‡
PŽ‡¼‡
^¼‡ɇ0Ÿɇۇ
^ۇë‡0Ÿë‡ˆ
Pˆˆ
^ˆ”ˆ0Ÿ”ˆ¤ˆ
P¤ˆ҈
^҈߈0Ÿ߈ñˆ
^ñˆ
‰0Ÿ
‰‰
P‰5‰
^5‰ª‰0Ÿª‰º‰
Pº‰è‰
^è‰õ‰0Ÿõ‰Š
^ŠŠ0ŸŠ.Š
P.ŠKŠ
^KŠ
0Ÿ
Њ
PЊþŠ
^þŠ‹0Ÿ‹‹
^‹-‹0Ÿ-‹D‹
PD‹a‹
^a‹֋0Ÿ֋æ‹
P拌
^Œ)Œ0Ÿ)Œ;Œ
^;ŒKŒ0ŸKŒbŒ
PbŒŒ
^ŒüŒ0ŸüŒ
P:
^:O0ŸOa
^aq0Ÿqˆ
Pˆ¥
^¥Ž0ŸŽ.Ž
P.Ž‰Ž
^‰Ž¬Ž0Ÿ¬Žގ
^ގýŽ0ŸýŽ.
^.=
P=O0ŸO^
^^
P‘0Ÿ‘ 
^ O
POӏ0Ÿӏâ
^⏐
P0Ÿ$
^$E
PEW0ŸWf
^f‡
P‡™0Ÿ™¨
^¨ɐ
Pɐې0Ÿ.xFx+‘˜s~ $ &#€€€€€€€€€
Ž€€€€€€€€,ÿŸFxTxw#”
>)ÿŸTxáx1Ÿáyíyp”
>)ÿŸÑzñzt0)ÿŸî{ö{t0)ÿŸ'|“|"‘˜s#€€€€€€€€€
„€€€€€€€€,ÿŸ½|Ï|"‘˜s#€€€€€€€€€
„€€€€€€€€,ÿŸy}ˆ}"‘˜s#€€€€€€€€€
„€€€€€€€€,ÿŸ~~+‘˜s~ $ &#€€€€€€€€€
Ž€€€€€€€€,ÿŸŸ~®~1Ÿ€'€"‘˜s#€€€€€€€€€
„€€€€€€€€,ÿŸƒ\ƒ1Ÿ±ƒ¶ƒ"‘˜s#€€€€€€€€€
„€€€€€€€€,ÿŸ
„„1ŸY„w„1Ÿ……"‘˜s#€€€€€€€€€
„€€€€€€€€,ÿŸׅ҅
Pׅþ…
^þ…†
PP‡~‡
^¡‡¦‡
P¦‡ɇ
_ɇۇ
Pۇ	ˆ
_,ˆ1ˆ
P1ˆTˆ
^Tˆfˆ
Pfˆ”ˆ
^·ˆ¼ˆ
P¼ˆ߈
_߈ñˆ
Pñˆ‰
_B‰G‰
PG‰j‰
^j‰|‰
P|‰ª‰
^͉҉
P҉õ‰
_õ‰Š
PŠ5Š
_XŠ]Š
P]Š€Š
^€Š’Š
P’Š

^ãŠèŠ
P芋
_‹‹
P‹K‹
_n‹s‹
Ps‹–‹
^–‹¨‹
P¨‹֋
^ù‹þ‹
Pþ‹)Œ
_)Œ;Œ
P;ŒiŒ
_ŒŒ‘Œ
P‘Œ¼Œ
^¼ŒΌ
PΌüŒ
^$
P$O
_Oa
Pa
_²·
P·ڍ
^ڍì
P썎
^=J
^^k
_Œ
^ ­
_OΏ
^âï
_
^$1
_ER
^fs
_‡”
^¨µ
_ɐ֐
^Txáx1ŸŸ~®~1Ÿƒ\ƒ1Ÿ
„„1ŸY„w„1Ÿz z0ŸÃz#{0Ÿî{—}0Ÿ.0Ÿ±ƒ
„0Ÿ„;„0Ÿ……0Ÿ…4‡0ŸA‡ې0Ÿøzþz
Pâƒçƒ
Pçƒìƒ
Spváx0Ÿáxy
Váy—}0ŸÕ}~
V~=‚0Ÿ=‚\‚
Ÿ\‚ ‚0Ÿ ‚̂
Ÿ̂@…0Ÿ@…h…
Ÿh…ې0Ÿpváx0Ÿáx5y
œ÷Ÿáy—}0ŸÕ}~
œ÷Ÿ~=‚0Ÿ=‚\‚
œ÷Ÿ\‚ ‚0Ÿ ‚̂
œ÷Ÿ̂@…0Ÿ@…h…
œ÷Ÿh…ې0Ÿpváx0Ÿáxy
Sáy—}0ŸÕ}~
S~=‚0Ÿ=‚\‚
IŸ\‚ ‚0Ÿ ‚̂
&Ÿ̂@…0Ÿ@…h…
Ÿh…ې0Ÿÿvw
U†{•{
UNw‡w
\¤{Æ{
\¡	‚
\‚S‚
\̂Ԃ
\ò‚ƒ
\lwƒw
Pƒww
Rwáx‘ø~áy#{‘ø~e{†{‘ø~Æ{—}‘ø~~®~‘ø~â~J‘ø~Jg
Rg¡‘ø~¡·
P·‚‘ø~̂т
Pтò‚‘ø~ò‚ù‚
Pù‚Ą‘ø~ò„…‘ø~h…ې‘ø~pww
QJg
Q¡æ
Q̂ƒ
Qƒƒ‘ø~#ҁæ
Qƒƒ2Ÿw¬w
YÆ{Ô{
Y¬w»w
Zß{è{
Z»wÃwv»wáx	ÿŸáy#{	ÿŸe{†{	ÿŸî{—}	ÿŸ~®~	ÿŸâ~J	ÿŸƒĄ	ÿŸò„…	ÿŸh…ې	ÿŸ»wáx0Ÿáy#{0Ÿe{†{0Ÿî{—}0Ÿ~®~0Ÿâ~J0ŸƒĄ0Ÿò„…0Ÿh…ې0Ÿñw}x
_áyíy
_e{w{
_~.~
_;„…„
_…„‰„
U‰„Ą
_ò„…
_4‡8‡
U8‡A‡
_ñwáx	ÿŸáy#{	ÿŸe{w{	ÿŸî{—}	ÿŸ~®~	ÿŸâ~.	ÿŸƒĄ	ÿŸò„…	ÿŸ…ې	ÿŸñwáx0Ÿáy#{0Ÿe{w{0Ÿî{—}0Ÿ~®~0Ÿâ~.0ŸƒĄ0Ÿò„…0Ÿ…ې0Ÿxx
QŠ„™„
P™„¯„0Ÿbxáx0ŸŸ~®~0Ÿƒ\ƒ0Ÿ
„„0ŸY„w„0Ÿbxáx
]Ÿ~®~
]ƒ\ƒ
]
„„
]Y„w„
][xµx
Sƒ=ƒ
S
„„
SY„l„
S¢xµx
Pƒ!ƒ
PmxÖx
VŸ~®~
VƒLƒ
V
„„
VY„w„
Víy z
^SzŸz
^¬zþz
^î{I|
^ˆ}—}
^€ €
^Ã˃
^âƒôƒ
^"†6†
^A†n†
^v†¦†
^íyôypÿŸ]zwzpÿŸ z'z
Uíy#{	ÿŸî{—}	ÿŸâ~.	ÿŸ±ƒ
„	ÿŸ„;„	ÿŸ……	ÿŸ…4‡	ÿŸA‡ې	ÿŸíy#{0Ÿî{—}0Ÿâ~.0Ÿ±ƒ
„0Ÿ„;„0Ÿ……0Ÿ…4‡0ŸA‡ې0Ÿî{ö{w#î{—}	ÿŸ.	ÿŸ±ƒâƒ	ÿŸ„;„	ÿŸ……	ÿŸ…4‡	ÿŸA‡ې	ÿŸî{—}0Ÿ.0Ÿ±ƒâƒ0Ÿ„;„0Ÿ……0Ÿ…4‡0ŸA‡ې0Ÿ|¸|‘ ½|ˆ}‘ ˆ}‘}
R‘}—}‘ .‘ ±ƒÃ‘ „;„‘ ……‘ …4‡‘ A‡ې‘ w|ª|
_½|}
_|“|pÿŸ½|É|pÿŸ5}y}
^k
^?}U}pÿŸ'pÿŸ~Ÿ~0Ÿ\ƒ±ƒ0Ÿ;„Y„0Ÿ~Ÿ~
]\ƒ±ƒ
];„Y„
]~f~
S\ƒpƒ
Sƒ±ƒ
S;„N„
SS~f~
Pƒ“ƒ
P~ƒ~
V“~Ÿ~
V\ƒƒ
Vƒ±ƒ
V;„Y„
VŸå
_ô€
_¨€¸€
_©»pÿŸô€pÿŸ.€¨€0Ÿ"†¦†0Ÿ.€¨€
]"†¦†
]'€€
SA†a†
Sv†Ÿ†
Sn€€
PA†E†
P9€€
V"†.†
VA†k†
Vv†¦†
Væ€.
^…‘…
^dž‡
^ú€

Pֆæ†
P*Ž.0Ÿ*Ž.Ž
P.Ž¤Ž
^¬ŽòŽ
^ýŽ.
^*ŽyŽ
S¬Ž̎
SýŽ&
SjŽyŽ
P¬Ž°Ž
P5Ž¡Ž
V¬Ž֎
VގêŽ
VýŽ.
Vàø
Uøё
Vёo’ó
UŸo’w’
Vw’_“ó
UŸ_“~“
V~“‡“ó
UŸ‡“”
V”L”ó
UŸL”(•
V(•–ó
UŸ–y–
Vy–—–ó
UŸ—–¦–
V¦–>˜ó
UŸà‘
T‘0“
S0“_“ó
TŸ_“}“
S}“‡“ó
TŸ‡“÷“
S÷“ü“ó
TŸü“e”
Se”j”ó
TŸj”>˜
S*‘P“<Ÿ‡“O–<Ÿy–>˜<Ÿ*‘0“
S0“P“ó
TŸ‡“÷“
S÷“ü“ó
TŸü“e”
Se”j”ó
TŸj”O–
Sy–>˜
S*‘ё
Vёo’ó
UŸo’w’
Vw’P“ó
UŸ‡“”
V”L”ó
UŸL”(•
V(•–ó
UŸ–O–
Vy–—–ó
UŸ—–¦–
V¦–>˜ó
UŸM‘N“0Ÿ‡“O–0Ÿy–>˜0ŸM‘a‘
Pa‘–‘s$o’‚’
P‚’¦’ó
U#à–é–ó
U#F‘N“1Ÿ‡“O–1Ÿy–>˜1Ÿđܑ
Pܑ’|ü“”
Pj”q”
Pq”|”|”ˆ”
Pˆ”Š”|Š”‘”
P‘”“”|“”š”
Pš”œ”|œ”£”
P£”¥”|¥”¬”
P¬”®”|®”µ”
Pµ”·”|·”¾”
P¾”|ǔ
Pǔɔ|ɔД
PДҔ|Ҕٔ
Pٔ۔|۔â”
Pâ”ä”|ä”ë”
Pë”í”|í”ô”
Pô”ö”|ö”ý”
Pý”•|•	•
P	••|••
P••|•!•
Pٗâ—|‘o’0Ÿ‡“ì“0Ÿì“ü“
Pü“”0ŸL”[”
Pj”q”
xA!Ÿq””
P”Š”
QA!ŸŠ”“”
WA!Ÿ“”œ”
TA!Ÿœ”¥”
lA!Ÿ¥”®”
pA!Ÿ®”·”
nA!Ÿ·”
vA!Ÿɔ
bA!ŸɔҔ
zA!ŸҔ۔
fA!Ÿ۔ä”
|A!Ÿä”í”
hA!Ÿí”ö”
~A!Ÿö”•
jA!Ÿ•@–0Ÿ@–D–
Py–¦–0Ÿø–-—0ŸH—>˜0Ÿ*‘–‘0Ÿ–‘o’
\o’ñ’0Ÿ(“N“
\‡“”
\0”L”0ŸL”O–
\y–¦–
\¦–ø–0Ÿø–-—
\-—H—0ŸH—>˜
\–‘¯‘	|80.ÿŸ‡“•“	|80.ÿŸ“2“	ÿŸ2“N“
Sï“ü“0Ÿ”0”	ÿŸL”j”0Ÿ|””0Ÿ@–O–0ŸF‘M‘s0)ÿŸM‘¹‘1Ÿđʑ|”
>)ÿŸʑñ’1Ÿ‡“¬“0Ÿü“”0Ÿ0”L”1Ÿj”0–0Ÿ0–@–1Ÿy–—–0Ÿ¦–ø–1Ÿø–-—0Ÿ-—H—1ŸH—ٗ0Ÿٗ>˜1ŸM‘S‘vÀ”1 $0)ÿŸS‘–‘0Ÿ–‘¯‘
|80. ÿŸʑo’1Ÿo’w’vÀ”1 $0)ÿŸw’¦’ó
U#@”1 $0)ÿŸ‡“•“
|80. ÿŸü“”0Ÿj”–0Ÿy–—–0Ÿà–é–ó
U#@”1 $0)ÿŸø–-—0ŸH—ٗ0Ÿٗ>˜1ŸM‘S‘vÀ”1 $0)ÿŸS‘o’0Ÿo’w’vÀ”1 $0)ÿŸw’¦’ó
U#@”1 $0)ÿŸ‡“”0ŸL”O–0Ÿy–¦–0Ÿà–é–ó
U#@”1 $0)ÿŸø–-—0ŸH—>˜0Ÿ*‘‘‘0Ÿ‘‘–‘
\–‘+’0Ÿo’ђ0Ÿ‡“”0ŸL”(•0ŸT•d•0Ÿd•y•
Py•֕
V֕O–0Ÿy–ˆ–
V—–°–0Ÿ–ð–0Ÿý–—
V-—H—0ŸH—¨—
V¨—é—0Ÿþ—>˜0Ÿ*‘ñ’0Ÿ‡“”0Ÿ0”C•0ŸC•T•
PT•u•
]u•˕0Ÿ–O–0Ÿˆ–Œ–
PŒ–—–
]—–ø–0Ÿø–ý–
Pý–—0Ÿ—h—0Ÿo—˜—0Ÿ¨—ٗ
]ٗ>˜0Ÿã“ï“
P—–¦–
P*‘ñ’0Ÿ‡“”0Ÿ0”O–0Ÿy–ý–0Ÿý–—

Ÿ—¨—0Ÿ¨—ٗ

Ÿٗ>˜0Ÿ*‘ñ’0Ÿ‡“”0Ÿ0”O–0Ÿy–ý–0Ÿý–—
œ÷Ÿ—¨—0Ÿ¨—ٗ
œ÷Ÿٗ>˜0Ÿ*‘ñ’0Ÿ‡“”0Ÿ0”O–0Ÿy–ý–0Ÿý–—
T——w—¨—0Ÿ¨—ٗ
Ÿٗ>˜0Ÿؑo’0Ÿٗ>˜0Ÿؑ’
Tٗâ—
T ˜/˜
T/˜>˜wё+’
Vٗé—
Vþ—>˜
V’+’
Pþ—˜
Pã‘o’
^ٗ>˜
^~’ñ’0Ÿ0”L”0Ÿ¦–ø–0Ÿ-—H—0Ÿ~’µ’
T–і
Tіà–wà–é–
Tw’ђ
V¦–°–
V–ð–
V-—H—
V½’ђ
P¦–ª–
P‰’ñ’
\0”:”
\¦–½–
\–ø–
\-—H—
\•!•
P•–	ÿŸy–—–	ÿŸø–-—	ÿŸH—ٗ	ÿŸ•–0Ÿy–—–0Ÿø–-—0ŸH—ٗ0Ÿu•–0Ÿy–ˆ–0ŸH—¨—0Ÿu•y•
Py•–
Vy–ˆ–
VH—¨—
Vu•–
^y–ˆ–
^H—¨—
^·•˕
PH—L—
P€•–
_y–ˆ–
_H—¨—
_@˜5™
U5™fœ‘˜|fœA­ó
UŸA­Z­‘˜|Z­D®ó
UŸD®Z®‘˜|Z®‘®
U‘®ï²‘˜|ï²³ó
UŸ³%³‘˜|%³â¶ó
UŸâ¶'¸‘˜|'¸8¸ó
UŸ8¸’¸‘˜|’¸£¸ó
UŸ£¸ç¸‘˜|ç¸P¹ó
UŸP¹á»‘˜|Ỽó
UŸ¼½‘˜|½V½ó
UŸV½©½‘˜|©½ð¾ó
UŸð¾Z¿‘˜|Z¿ʿó
UŸʿÀ‘˜|ÀŸÂó
UŸŸÂ7ј|7ÃuÄó
UŸ@˜5™
a5™ ¥‘èz’§9©‘èz9©F©‘èzö)õ)"ŸF©R©
fR©ȫ‘èzá«Z®‘èzZ®‘®
a‘®ï²‘èz³%³‘èzáµ6‘èzâ¶ç¸‘èzP¹uÄ‘èz@˜1™
T1™¥¦
^¥¦’§ó
TŸ’§ȫ
^ȫá«ó
TŸá«Z®
^Z®‘®
T‘®ï²
^ï²³ó
TŸ³…´
^…´Ĵó
TŸĴuÄ
^@˜5™
Q5™fœ‘àzfœA­ó
QŸA­Z­‘àzZ­D®ó
QŸD®Z®‘àzZ®‘®
Q‘®ï²‘àzï²³ó
QŸ³%³‘àz%³â¶ó
QŸâ¶'¸‘àz'¸8¸ó
QŸ8¸’¸‘àz’¸£¸ó
QŸ£¸˸‘àz˸P¹ó
QŸP¹{»‘àz{»¡»ó
QŸ¡»¦»‘àz¦»¼ó
QŸ¼½‘àz½V½ó
QŸV½©½‘àz©½ð¾ó
QŸð¾Z¿‘àzZ¿ʿó
QŸʿÀ‘àzÀŸÂó
QŸŸÂ7Ñàz7ÃuÄó
QŸ@˜5™
b5™fœ‘À{fœA­óõ)ŸA­Z­‘À{Z­D®óõ)ŸD®Z®‘À{Z®‘®
b‘®ï²‘À{ï²³óõ)Ÿ³%³‘À{%³â¶óõ)Ÿâ¶'¸‘À{'¸8¸óõ)Ÿ8¸’¸‘À{’¸£¸óõ)Ÿ£¸ç¸‘À{ç¸P¹óõ)ŸP¹á»‘À{Ỽóõ)Ÿ¼½‘À{½V½óõ)ŸV½©½‘À{©½ð¾óõ)Ÿð¾Z¿‘À{Z¿ʿóõ)ŸʿÀ‘À{ÀŸÂóõ)ŸŸÂ7ÑÀ{7ÃuÄóõ)Ÿ@˜5™
c5™fœ‘ð{fœA­óõ)ŸA­Z­‘ð{Z­D®óõ)ŸD®Z®‘ð{Z®‘®
c‘®ï²‘ð{ï²³óõ)Ÿ³%³‘ð{%³â¶óõ)Ÿâ¶'¸‘ð{'¸8¸óõ)Ÿ8¸’¸‘ð{’¸£¸óõ)Ÿ£¸ç¸‘ð{ç¸P¹óõ)ŸP¹á»‘ð{Ỽóõ)Ÿ¼½‘ð{½V½óõ)ŸV½©½‘ð{©½ð¾óõ)Ÿð¾Z¿‘ð{Z¿ʿóõ)ŸʿÀ‘ð{ÀŸÂóõ)ŸŸÂ7Ñð{7ÃuÄóõ)Ÿ@˜5™
d5™fœ‘à{A­U­‘à{U­Z­óõ)ŸD®Z®
žð?Z®‘®
d‘®ï²‘à{³%³‘à{â¶'¸‘à{8¸’¸‘à{£¸ç¸‘à{P¹á»‘à{¼½‘à{V½©½‘à{ð¾Z¿‘à{ʿÀ‘à{ŸÂ7Ñà{@˜5™
R5™¾¥
]¾¥’§ó
RŸ’§ȫ
]ȫá«ó
RŸá«Z®
]Z®‘®
R‘®ï²
]ï²³ó
RŸ³%³
]%³Ĵó
RŸĴ6
]6Ѷó
RŸѶuÄ
]@˜5™
X5™fœ‘Ì|fœA­ó
XŸA­Z­‘Ì|Z­D®ó
XŸD®Z®‘Ì|Z®‘®
X‘®ï²‘Ì|ï²³ó
XŸ³%³‘Ì|%³â¶ó
XŸâ¶'¸‘Ì|'¸8¸ó
XŸ8¸’¸‘Ì|’¸£¸ó
XŸ£¸ç¸‘Ì|ç¸P¹ó
XŸP¹á»‘Ì|Ỽó
XŸ¼½‘Ì|½V½ó
XŸV½©½‘Ì|©½ð¾ó
XŸð¾Z¿‘Ì|Z¿ʿó
XŸʿÀ‘Ì|ÀŸÂó
XŸŸÂ7ÑÌ|7ÃuÄó
XŸ@˜5™
Y5™fœ‘Œ|fœA­ó
YŸA­Z­‘Œ|Z­D®ó
YŸD®Z®‘Œ|Z®‘®
Y‘®ï²‘Œ|ï²³ó
YŸ³%³‘Œ|%³â¶ó
YŸâ¶'¸‘Œ|'¸8¸ó
YŸ8¸’¸‘Œ|’¸£¸ó
YŸ£¸ç¸‘Œ|ç¸P¹ó
YŸP¹á»‘Œ|Ỽó
YŸ¼½‘Œ|½V½ó
YŸV½©½‘Œ|©½ð¾ó
YŸð¾Z¿‘Œ|Z¿ʿó
YŸʿÀ‘Œ|ÀŸÂó
YŸŸÂ7ÑŒ|7ÃuÄó
YŸ@˜5™
e5™fœ‘°{fœA­óõ)ŸA­Z­‘°{Z­D®óõ)ŸD®Z®‘°{Z®‘®
e‘®ï²‘°{ï²³óõ)Ÿ³%³‘°{%³â¶óõ)Ÿâ¶'¸‘°{'¸8¸óõ)Ÿ8¸’¸‘°{’¸£¸óõ)Ÿ£¸ç¸‘°{ç¸P¹óõ)ŸP¹á»‘°{Ỽóõ)Ÿ¼½‘°{½V½óõ)ŸV½©½‘°{©½ð¾óõ)Ÿð¾Z¿‘°{Z¿ʿóõ)ŸʿÀ‘°{ÀŸÂóõ)ŸŸÂ7Ñ°{7ÃuÄóõ)Ÿ@˜5™
f5™fœ‘¸{fœA­óõ)ŸA­Z­‘¸{Z­D®óõ)ŸD®Z®‘¸{Z®‘®
f‘®ï²‘¸{ï²³óõ)Ÿ³%³‘¸{%³â¶óõ)Ÿâ¶'¸‘¸{'¸8¸óõ)Ÿ8¸’¸‘¸{’¸£¸óõ)Ÿ£¸ç¸‘¸{ç¸P¹óõ)ŸP¹á»‘¸{Ỽóõ)Ÿ¼½‘¸{½V½óõ)ŸV½©½‘¸{©½ð¾óõ)Ÿð¾Z¿‘¸{Z¿ʿóõ)ŸʿÀ‘¸{ÀŸÂóõ)ŸŸÂ7Ѹ{7ÃuÄóõ)Ÿ@˜5™
g5™fœ‘ø{fœA­óõ)ŸA­Z­‘ø{Z­D®óõ)ŸD®Z®‘ø{Z®‘®
g‘®ï²‘ø{ï²³óõ)Ÿ³%³‘ø{%³â¶óõ)Ÿâ¶'¸‘ø{'¸8¸óõ)Ÿ8¸’¸‘ø{’¸£¸óõ)Ÿ£¸ç¸‘ø{ç¸P¹óõ)ŸP¹á»‘ø{Ỽóõ)Ÿ¼½‘ø{½V½óõ)ŸV½©½‘ø{©½ð¾óõ)Ÿð¾Z¿‘ø{Z¿ʿóõ)ŸʿÀ‘ø{ÀŸÂóõ)ŸŸÂ7Ñø{7ÃuÄóõ)Ÿ@˜5™
h5™fœ‘€|fœA­óõ)ŸA­Z­‘€|Z­D®óõ)ŸD®Z®‘€|Z®‘®
h‘®ï²‘€|ï²³óõ)Ÿ³%³‘€|%³â¶óõ)Ÿâ¶'¸‘€|'¸8¸óõ)Ÿ8¸’¸‘€|’¸£¸óõ)Ÿ£¸ç¸‘€|ç¸P¹óõ)ŸP¹á»‘€|Ỽóõ)Ÿ¼½‘€|½V½óõ)ŸV½©½‘€|©½ð¾óõ)Ÿð¾Z¿‘€|Z¿ʿóõ)ŸʿÀ‘€|ÀŸÂóõ)ŸŸÂ7Ñ€|7ÃuÄóõ)Ÿ@˜_‘ _uÄ‘ ·™¿™
P¿™ҙ}0ҙfœ‘øzA­Z­‘øzD®Z®‘øz‘®ï²‘øz³%³‘øzö¶5·‘øzϷ'¸‘øz8¸I¸‘øz£¸ç¸‘øzP¹á»‘øz¼½‘øzV½©½‘øzð¾Z¿‘øzʿÀ‘øzŸÂ7ÑøzΙҙ
Pҙfœ‘¸|A­Z­‘¸|D®Z®‘¸|‘®ï²‘¸|³%³‘¸|ö¶5·‘¸|Ϸ'¸‘¸|8¸I¸‘¸|£¸ç¸‘¸|P¹á»‘¸|¼½‘¸|V½©½‘¸|ð¾Z¿‘¸|ʿÀ‘¸|ŸÂ7Ѹ|f˜yš0Ÿ ¥‘§
_«á«
_Z®‘®0ŸѲà²0Ÿï²³
_%³áµ
_0¶R¶
_~¶Ÿ¶
_6â¶
_â¶ö¶0Ÿ5·Ϸ0ŸI¸’¸0Ÿ˸P¹
_V½©½0Ÿ	ÀÀ0Ÿ½ÀÜÀ
_œšü£0Ÿü£ ¥1Ÿ’§ȫ0Ÿá«Z®0Ÿ‘®Ѳ0Ÿà²ï²0Ÿ³%³0Ÿáµ60Ÿö¶5·0ŸϷI¸0Ÿ’¸˸0ŸP¹V½0Ÿ©½Ľ1ŸĽç½0Ÿç½¾1Ÿ¾	À0ŸÀ7Ã0Ÿ7ÃuÄ1Ÿœš\›
ž\›fœ‘ø{fœ ¥‘Øz’§٨‘Øz٨ި
hިtª‘Øzá«A­‘ØzA­Z­
žD®Z®
ž‘®Ѳ
žà²ï²‘ø{³%³
žáµl¶‘ØzŸ¶6‘Øzö¶5·‘ø{Ϸ'¸
ž8¸I¸
ž£¸˸
žP¹á»
ž¼a¼
ža¼½‘ø{½V½‘Øz©½ð¾‘Øzð¾Z¿
žZ¿ʿ‘Øzʿ	À
žÀŸÂ‘ØzŸÂ7Ã
ž7ÃuÄ‘Øzœšfœ
ž±ٝ
eٝ󝑨{²¨ި
eA­Z­
žD®Z®
ž‘®Ѳ
žà²ï²
ž³%³
žö¶5·
žϷ'¸
ž8¸I¸
ž£¸˸
žP¹á»
ž¼½
žð¾Z¿
žʿ	À
žŸÂ7Ã
žœšfœ
žÿž1Ÿ
b1ŸpŸ
fpŸ€Ÿ‘Ð{ڧå§
b„¨­¨
bA­Z­
žD®Z®
ž‘®Ѳ
žà²ï²
ž³%³
žö¶5·
žϷ'¸
ž8¸I¸
ž£¸˸
žP¹á»
ž¼½
žð¾Z¿
žʿ	À
žŸÂ7Ã
žœšfœ
žfœ ¥‘ðz’§tª‘ðzá«A­‘ðzA­Z­
žD®Z®
ž‘®Ѳ
žà²ï²
ž³%³
žáµ6‘ðzö¶5·
žϷ'¸
ž8¸I¸
ž£¸˸
žP¹á»
ž¼½
ž½V½‘ðz©½ð¾‘ðzð¾Z¿
žZ¿ʿ‘ðzʿ	À
žÀŸÂ‘ðzŸÂ7Ã
ž7ÃuÄ‘ðz¨šfœ
žð?Zžɞ
fɞÿž‘Ø{’§´§
f´§å§‘Ð{å§Q¨
fQ¨Š¨‘Ø{A­Z­
žð?D®Z®
žð?‘®Ѳ
žð?à²ï²
žð?³%³
žð?ö¶5·
žð?Ϸ'¸
žð?8¸I¸
žð?£¸˸
žð?P¹á»
žð?¼½
žð?ð¾Z¿
žð?ʿ	À
žð?ŸÂ7Ã
žð?¨šfœ0Ÿfœ¸Ÿ‘Ì{_ ¥‘Ì{’§tª‘Ì{á«A­‘Ì{A­Z­0ŸD®Z®0Ÿ‘®Ѳ0Ÿà²ï²0Ÿ³%³0Ÿáµ6‘Ì{ö¶5·0ŸϷ'¸0Ÿ8¸I¸0Ÿ£¸˸0ŸP¹á»0Ÿ¼½0Ÿ½V½‘Ì{©½ð¾‘Ì{ð¾Z¿0ŸZ¿ʿ‘Ì{ʿ	À0ŸÀŸÂ‘Ì{ŸÂ7Ã0Ÿ7ÃuÄ‘Ì{¨šœ0Ÿfœî ‘È|ü£ ¥‘È|’§Pª‘È|á«ð«‘È|<¬b¬‘È|j¬{¬‘È|
­­‘È|A­Z­0ŸD®Z®0Ÿ‘®Ѳ0Ÿà²ï²0Ÿ³%³0ŸR¶Ÿ¶‘È|ö¶5·0ŸϷ'¸0Ÿ8¸I¸0Ÿ£¸˸0ŸP¹á»0Ÿ¼½0Ÿ©½ð¾‘È|ð¾Z¿0ŸZ¿ʿ‘È|ʿ	À0Ÿ’Á·Á‘È|ŸÂ7Ã0Ÿ7ÃuÄ‘È|¨šfœ0Ÿ]ğ
SğџsŸ’§:ª
SA­Z­0ŸD®Z®0Ÿ‘®Ѳ0Ÿà²ï²0Ÿ³%³0Ÿö¶5·0ŸϷ'¸0Ÿ8¸I¸0Ÿ£¸˸0ŸP¹á»0Ÿ¼½0Ÿð¾Z¿0Ÿʿ	À0ŸŸÂ7Ã0Ÿ̚fœ‘ˆ|A­Z­‘ˆ|D®Z®‘ˆ|‘®Ѳ‘ˆ|à²ï²‘ˆ|³%³‘ˆ|ö¶5·‘ˆ|Ϸ'¸‘ˆ|8¸I¸‘ˆ|£¸˸‘ˆ|P¹á»‘ˆ|¼½‘ˆ|ð¾Z¿‘ˆ|ʿ	À‘ˆ|ŸÂ7ш|f˜›0ŸF›fœ‘| ¥’§‘|«á«‘|A­Z­‘|D®Z®‘|Z®‘®0ŸѲà²0Ÿà²³‘|%³áµ‘|0¶R¶‘|~¶Ÿ¶‘|6ⶑ|â¶ö¶0Ÿö¶5·‘|5·Ϸ0ŸI¸’¸0Ÿ˸ç¸
Pç¸P¹‘|a¼½‘|V½©½0Ÿ	ÀÀ0Ÿ½ÀÜÀ‘|›F›0ŸF›fœ‘¨|A­Z­‘¨|D®Z®‘¨|‘®̲0Ÿ̲Ѳ
Pà²ï²‘¨|³%³0Ÿö¶5·‘¨|Ϸ'¸0Ÿ8¸I¸0Ÿ£¸˸0ŸP¹á»0Ÿ¼a¼0Ÿa¼½‘¨|ð¾Z¿0Ÿʿ	À0ŸŸÂ7Ã0ŸF›fœ
žfœ ¥‘è{’§š©‘è{š©¬©
a¬©:ª
f:ªtª‘è{á«A­‘è{A­Z­
žD®Z®
žà²ï²
žáµ6‘è{ö¶5·
ža¼½
ž½V½‘è{©½ð¾‘è{Z¿ʿ‘è{ÀŸÂ‘è{7ÃuÄ‘è{f˜ö›0Ÿ ¥’§‘ |«á«‘ |A­Z­0ŸD®ï²0Ÿï²³‘ |³%³0Ÿ%³áµ‘ |0¶R¶‘ |~¶Ÿ¶‘ |6ⶑ |â¶'¸0Ÿ8¸’¸0Ÿ£¸ç¸0Ÿç¸P¹‘ |P¹á»0Ÿ¼½0ŸV½©½0Ÿð¾Z¿0ŸʿÀ0Ÿ½ÀÜÀ‘ |ŸÂ7Ã0Ÿf˜§0Ÿ§#§
[’§ߪ0Ÿߪ@«
[@«F«‘Øz«֫
[֫á«‘Øzá«Z­0ŸZ­o­
[o­ˆ­‘ØzD®ï²0Ÿ³'¸0Ÿ8¸’¸0Ÿ’¸£¸
[£¸uÄ0Ÿf˜ۙ0Ÿۙé™
Pé™yš‘€{yš´¡0Ÿ'¢#¥0Ÿ’§ȫ0Ÿá«ܮ0Ÿ±Ѳ0ŸѲ಑€{à²ï²0Ÿ³%³0Ÿáµýµ0Ÿ¶60Ÿâ¶ž·0ŸϷ£¸0Ÿ˸P¹‘€{˜¹²¹0Ÿæ¹S»0Ÿá»V½0ŸV½_½
T_½™½‘€{™½©½
P©½¿0Ÿ
¿¿0ŸZ¿ʿ0Ÿ	ÀaÀ‘€{aÀqÀ
TqÀÀ‘€{«ÀÜÀ‘€{
Á‡Â0Ÿ7ÃuÄ0Ÿf˜\š0Ÿyš˜ 0Ÿø ¡0Ÿ„¡•¡0Ÿ•¡«¡
P«¡'¢
S'¢ ¥0Ÿ ¥2¥
S’§ȫ0Ÿá«ð«0Ÿj¬ý¬0Ÿ­·®0Ÿø®¯0Ÿ¯¯
P¯5¯
S5¯@¯0Ÿ@¯S¯
PS¯6±
S6±Ѳ0Ÿà²ï²0Ÿ³%³0Ÿ$µmµ
Sáµýµ0Ÿ¶R¶
SR¶60Ÿâ¶£¸0Ÿ£¸˜¹
S˜¹¦¹0Ÿæ¹S»0ŸS»á»
Sá»f½0Ÿ™½m¾0Ÿ}¾þ0Ÿ۾ð¾0Ÿ¿C¿
PC¿Z¿
SZ¿Ÿ¿0Ÿʿ	À
S	À8À0ŸaÀÀ0ŸÀ
Á
S
Á&Á
P€Á’Á0Ÿ·Á‡Â0Ÿ‡ÂŸÂ
SŸÂªÂ
PªÂ7Ã
S7ÃuÄ0Ÿ̚fœ‘ˆ|fœ÷œ
‘”0.ÿŸ÷œ]
‘”0.ÿŸó=ž
‘”0.ÿŸÿžŸ‘ˆ|”0.ÿŸ1Ÿ€Ÿ‘àz”1+ÿŸ€Ÿ”Ÿõ)ô).ÿŸџî 
‘”0.ÿŸ¦£²£p $0)ÿŸڧå§|ÿÿÿÿ3+ÿŸ¨Q¨õ)ô))ÿŸQ¨„¨‘Ð{ö)ô))ÿŸ„¨Š¨r $0.ÿŸި©õ)ô).ÿŸ©©‘¨{ö)ô).ÿŸ©R©‘Œ|”1)ÿŸ:ªHªu $0.ÿŸHªPª
‘”0.ÿŸá«ð«
‘”0.ÿŸ<¬b¬
‘”0.ÿŸj¬{¬
‘”0.ÿŸ
­­
‘”0.ÿŸA­Z­‘ˆ|D®Z®‘ˆ|‘®Ѳ‘ˆ|à²ï²‘ˆ|³%³‘ˆ|R¶Ÿ¶
‘”0.ÿŸö¶5·‘ˆ|Ϸ'¸‘ˆ|8¸I¸‘ˆ|£¸˸‘ˆ|P¹á»‘ˆ|¼½‘ˆ|Ľç½
‘”0.ÿŸ¾ð¾
‘”0.ÿŸð¾Z¿‘ˆ|Z¿ʿ
‘”0.ÿŸʿ	À‘ˆ|’Á·Á
‘”0.ÿŸŸÂ7ш|f˜̚0Ÿ
› ¥0Ÿ’§ȫ0Ÿá«[±0Ÿ²ï²0Ÿáµ60Ÿâ¶Ϸ0Ÿ'¸8¸0ŸI¸æ¹0ŸS»¼0Ÿ.¼uÄ0Ÿf˜ë›0Ÿö›“œ0Ÿ\. 0Ÿ£ å 0Ÿ/¡q¡0Ÿ'¢#¥0Ÿ’§ȫ0Ÿ	¬-¬0ŸF¬!¯0Ÿ!¯9¯
P9¯O¯‘ØzO¯Z¯0ŸZ¯z¯
Pz¯¯‘ØzF±à²0Ÿ³%³0Ÿáµýµ0Ÿ¶"¶
Y"¶R¶‘èzR¶`¶0Ÿl¶p¶
Yp¶Ÿ¶‘àzŸ¶60Ÿâ¶£¸0Ÿ˸-¹
Y-¹P¹‘èzP¹X¹‘Øz˜¹S»0Ÿá»¼0Ÿ´¼ó¼0Ÿ½Ľ0Ÿç½,¾0ŸS¾}¾0Ÿ۾O¿0ŸO¿Z¿
P	ÀÀ0Ÿ«À¯À
Y¯ÀÜÀ‘àzKÁ[Á0ŸÇÁ‡Â0ŸŸÂªÂ‘ØzªÂµÂ
P7ÃuÄ0Ÿf˜ݡ0Ÿݡñ¡
Pñ¡'¢‘˜{'¢;¢0Ÿ;¢P¢
Pt¢š¢0Ÿ£*£0Ÿ*£?£
Pn£>¤0Ÿ>¤S¤
P~¤å¤0Ÿ ¥#¥
Z’§œª0Ÿœª°ª
P°ªߪ‘Øzߪȫ0Ÿá«{¬0Ÿ”¬¬
P¬¢¬
Z¢¬­¬‘€{լެ
Pެã¬
Zã¬î¬‘€{î¬+­0ŸA­¯0Ÿõ¯ï²0Ÿ³%³0Ÿ¶"¶
Z"¶R¶‘ðzR¶60Ÿâ¶˸0Ÿ˸-¹
Z-¹P¹‘ðzP¹c¹0Ÿ˜¹á»0Ÿá»ÿ»
Pÿ»¼‘Øz¼½0ŸV½©½0Ÿ©½Ľ
PĽʿ0Ÿè¿À0ŸÀ”À
P«À¯À
Z¯ÀÜÀ‘èzÜÀÇÁ0ŸÒÁÝÁ
Pi‡Â
P‡ÂŸÂ‘˜{ŸÂµÂ0ŸÌÂÃ0Ÿy÷Ã0ŸÎÃÄ0ŸPÄYÄ
PYÄ^Ä
Z^ÄiÄ‘Øzf˜‚›0Ÿö›°œ0Ÿ°œ\
P\𜑈{ðœ 0Ÿ   
P  î ‘ˆ{'¢ ¥0Ÿ ¥ƒ¥
V’§ȫ0Ÿá«å«
På«ð«‘ˆ{<¬b¬‘ˆ{j¬{¬‘ˆ{{¬ý¬0Ÿ
­­‘ˆ{­̯0ŸP°ï°0Ÿ¸²à²0ŸĴáµ
Váµýµ0Ÿ¶R¶
VR¶`¶‘ˆ{l¶Ÿ¶
VŸ¶60Ÿâ¶·0Ÿ5·Ϸ0Ÿ'¸8¸0ŸI¸˸0Ÿ˸縑|ç¸P¹
VP¹æ¹0ŸS»{»0Ÿ¡»¼0Ÿ½Ľ0ŸĽ׽
P׽¾0Ÿ¾,¾
P,¾ð¾‘ˆ{ð¾Z¿0ŸZ¿ʿ‘ˆ{	ÀÀ0Ÿ«ÀÜÀ
V’Á·Á‘ˆ{ÇÁ‡Â0ŸŸÂçÂ0ŸÃuÄ0Ÿœfœ
Yœfœ0Ÿfœî ‘È|’§Pª‘È|`ªtª‘È|á«ð«‘È|<¬b¬‘È|j¬{¬‘È|
­­‘È|R¶Ÿ¶‘È|Ľç½‘È|¾ð¾‘È|Z¿ʿ‘È|’Á·Á‘È|]0Ÿ]џ
S’§:ª
Sp¨„¨
b„¨Š¨õ)õ)Ÿp¨Š¨‘ð{Иø¡0Ÿø¡ ¢
P ¢4¢
[4¢P¢‘€{P¢£0Ÿ?£Y£0ŸY£n£
P’£¤0Ÿ]¤h¤0Ÿh¤‚¤
P‚¤´¤
[÷¤ ¥0Ÿ ¥#¥
[’§·ª0Ÿ·ªʪ
Pʪߪ
[ߪȫ0Ÿá«{¬0Ÿ{¬„¬
P„¬‰¬
[‰¬”¬‘€{Ƭլ0Ÿլڬ‘€{ý¬ï²0Ÿ³%³0Ÿáµýµ0Ÿ¶"¶
["¶R¶‘àzR¶Ÿ¶0Ÿâ¶ÿ»0Ÿÿ»¼
P¼-½0ŸV½©½0ŸĽç½0Ÿ¾”À0Ÿ«ÀÇÁ0ŸÇÁÒÁ
PÝÁÂ0Ÿ5ÂiÂ0Ÿi‡Â‘€{‡ÂŸÂ
PŸÂ`Ã0ŸÎÃãÃ
[ãÃøÑØzøÃ	Ä
[	Ä5Ä‘Øz5ÄPÄ
PiÄuÄ‘ØzXªtª0Ÿ	¤ ¥1ŸXªtª0Ÿªȫ0ŸZ­D®0Ÿ'¸8¸0Ÿ’¸£¸0Ÿá»¼0Ÿ©½Ľ1Ÿç½¾1Ÿ7ÃuÄ1ŸИ ¥0Ÿ ¥#¥
Q’§ȫ0Ÿá«ï²0Ÿ³%³0Ÿáµ¶0Ÿ¶"¶
Q"¶R¶‘øzR¶l¶0Ÿl¶Ÿ¶
Â
ŸŸ¶60Ÿâ¶ž·0ŸϷ˸0Ÿ˸-¹
Q-¹P¹‘øzP¹¹º0Ÿ¹ºǺ
²
Ÿûº«À0Ÿ«À¯À
Q¯ÀÜÀ‘ðzÜÀuÄ0ŸИ ¥0Ÿ ¥§
!÷Ÿ’§ȫ0Ÿá«ï²0Ÿ³%³0Ÿ%³áµ
!÷Ÿáµ¶0Ÿ¶R¶
!÷ŸR¶l¶0Ÿl¶Ÿ¶
!÷ŸŸ¶60Ÿ6â¶
!÷Ÿâ¶ž·0ŸϷ˸0Ÿ˸P¹
!÷ŸP¹¹º0Ÿ¹ºǺ
!÷Ÿûº«À0Ÿ«ÀÜÀ
!÷ŸÜÀuÄ0ŸИ ¥0Ÿ ¥#¥
X’§ȫ0Ÿá«ï²0Ÿ³%³0Ÿáµ¶0Ÿ¶"¶
X"¶R¶‘ØzR¶l¶0Ÿl¶p¶
Xp¶Ÿ¶‘ØzŸ¶60Ÿâ¶ž·0ŸϷ˸0Ÿ˸-¹
X-¹P¹‘ØzP¹¹º0Ÿ¹ºǺ
_Ÿûº«À0Ÿ«À¯À
X¯ÀÜÀ‘ØzÜÀuÄ0Ÿ™_™‘€}Ÿ_™f™
Tf™‘€}Ÿ1
P1џ‘˜{џ’§‘€}Ÿ’§:ª‘˜{:ª7²‘€}Ÿ7²>²
T>²uÄ‘€}Ÿ™5™
U5™fœ‘˜|fœA­ó
UŸA­Z­‘˜|Z­D®ó
UŸD®Z®‘˜|Z®‘®
U‘®ï²‘˜|ï²³ó
UŸ³%³‘˜|%³â¶ó
UŸâ¶'¸‘˜|'¸8¸ó
UŸ8¸’¸‘˜|’¸£¸ó
UŸ£¸ç¸‘˜|ç¸P¹ó
UŸP¹á»‘˜|Ỽó
UŸ¼½‘˜|½V½ó
UŸV½©½‘˜|©½ð¾ó
UŸð¾Z¿‘˜|Z¿ʿó
UŸʿÀ‘˜|ÀŸÂó
UŸŸÂ7ј|7ÃuÄó
UŸ™1™‘Ø~Ÿ1™5™
T5™y¦‘Ø~Ÿy¦‹¦
U‹¦¯«‘Ø~Ÿ¯«¸«
U¸«uÄ‘Ø~ŸZ®‘®‘Ø~ŸU·ž·‘˜|U·ž·
 d!ŸU·ž·<ŸU·ž·1ŸU·ž·0ŸU·ž·‘€}ŸU·ž·‘Ø~Ÿõ™ ¥0Ÿ’§ȫ0Ÿá«Z®0Ÿ‘®ï²0Ÿ³%³0Ÿáµ60Ÿö¶5·0ŸϷI¸0Ÿ’¸™½0Ÿ©½uÄ0Ÿõ™F›‘€{‘®ܮ‘€{Ѳ಑€{˜¹²¹‘€{V½_½
T_½™½‘€{𾿑€{
¿¿‘€{	ÀaÀ‘€{aÀqÀ
TqÀÀ‘€{õ™F›
V‘®˜®
VѲà²
VV½™½
V	ÀÀ
VLšOš
POš\š
_	À8À
_šF›
S‘®­®
SѲà²
SV½n½
S	ÀWÀ
SaÀÀ
S̚ ¥
 d!Ÿ’§ȫ
 d!Ÿá«Z®
 d!Ÿ‘®Ѳ
 d!Ÿà²ï²
 d!Ÿ³%³
 d!Ÿáµ6
 d!Ÿö¶5·
 d!ŸϷI¸
 d!Ÿ’¸˸
 d!ŸP¹V½
 d!Ÿ©½	À
 d!ŸÀuÄ
 d!Ÿ̚ ¥<Ÿ’§ȫ<Ÿá«Z®<Ÿ‘®Ѳ<Ÿà²ï²<Ÿ³%³<Ÿáµ6<Ÿö¶5·<ŸϷI¸<Ÿ’¸˸<ŸP¹V½<Ÿ©½	À<ŸÀuÄ<Ÿ̚ ¥1Ÿ’§ȫ1Ÿá«Z®1Ÿ‘®Ѳ1Ÿà²ï²1Ÿ³%³1Ÿáµ61Ÿö¶5·1ŸϷI¸1Ÿ’¸˸1ŸP¹V½1Ÿ©½	À1ŸÀuÄ1Ÿ̚ ¥0Ÿ’§ȫ0Ÿá«Z®0Ÿ‘®Ѳ0Ÿà²ï²0Ÿ³%³0Ÿáµ60Ÿö¶5·0ŸϷI¸0Ÿ’¸˸0ŸP¹V½0Ÿ©½	À0ŸÀuÄ0Ÿ̚ ¥òᯒ§ȫòá¯á«Z®òᯑ®Ѳòá¯à²ï²ò᯳%³òá¯áµ6òá¯ö¶5·òá¯ϷI¸òᯒ¸˸òá¯P¹V½òᯩ½	ÀòᯁÀuÄòá¯̚ ¥‘è}Ÿ’§7«‘è}Ÿ7«@«
U@«ȫ‘è}Ÿá«Z®‘è}Ÿ‘®	²‘è}Ÿ	²
²
T
²Ѳ‘è}Ÿà²ï²‘è}Ÿ³³‘è}Ÿ³³
U³%³‘è}Ÿáµ6‘è}Ÿö¶5·‘è}ŸϷI¸‘è}Ÿ’¸˸‘è}ŸP¹V½‘è}Ÿ©½	À‘è}ŸÀuÄ‘è}Ÿc›”›
Sö¶·
Sx›†›
P†›fœ
Và²ï²
Vö¶ý¶
Pý¶·
V·5·
Pa¼½
V› ¥0Ÿ’§ȫ0Ÿá«A­0ŸZ­D®0Ÿà²ï²0Ÿáµ60Ÿ'¸8¸0Ÿ’¸£¸0Ÿá»¼0Ÿa¼V½0Ÿ©½ð¾0ŸZ¿ʿ0ŸÀŸÂ0Ÿ7ÃuÄ0Ÿ›¿›
T´¼ɼ
Tɼ޼‘Øz޼ç¼
T›fœ
Và²ï²
Va¼½
Vۛޛ
Pޛë›
Ta¼j¼
Tj¼¼‘ |”›fœ
Sà²ï²
Sa¼£¼
S´¼½
Sœœ
Pœfœ‘°|~œ…œ
P…œ÷œ
Sá«ð«
Sj¬{¬
SR¶Ÿ¶
SĽç½
S~œˆœ‘È|”#
ÿÿÿÿŸˆœŒœ
UŒœ÷œ‘È|”#
ÿÿÿÿŸá«ð«‘È|”#
ÿÿÿÿŸj¬{¬‘È|”#
ÿÿÿÿŸR¶Ÿ¶‘È|”#
ÿÿÿÿŸĽç½‘È|”#
ÿÿÿÿŸ~œ÷œ	ÿŸá«ð«	ÿŸj¬{¬	ÿŸR¶Ÿ¶	ÿŸĽç½	ÿŸ~œ÷œ0Ÿá«ð«0Ÿj¬{¬0ŸR¶Ÿ¶0ŸĽç½0Ÿyžɞ‘ˆ{yžɞ
Qyžɞ
Ryž‡ž
ž‡ž¥ž
d‡ž™ž
P•žŸž
aŸž¥žp3$r"¾žɞ
dɞÿž‘Ð{yž‡ž0Ÿ‡ž™ž
PéŸíŸ
PíŸî ‘{<¬b¬‘{
­­‘{¾ð¾‘{Z¿ʿ‘{’Á·Á‘{ ) 
T) * 	(g!S¾`¾
T`¾m¾	(g!۾ç¾
T ›£ó
UŸð«j¬ó
UŸ{¬A­ó
UŸáµýµó
UŸŸ¶6ó
UŸ½V½ó
UŸ,¾ð¾ó
UŸZ¿ʿó
UŸÀŸÂó
UŸ * 
QS¾m¾
Q۾ç¾
QB ›£0Ÿð«j¬0Ÿ{¬A­0Ÿáµýµ0ŸŸ¶60Ÿ½V½0Ÿm¾۾0ŸZ¿ʿ0ŸÀŸÂ0ŸB t 
TZ¿o¿
To¿¿‘€{¿˜¿
TB å 
V<¬e¬
V
­­
Vm¾x¾
V}¾Š¾
VŠ¾“¾
Y“¾þ‘ØzZ¿Š¿
VŠ¿¿
Y¿³¿
V³¿ʿ
Yˆ ‹ 
P‹ ˜ 
S}¾þ
SI ˆ 
SZ¿Ÿ¿
S£ ›£0Ÿð«<¬0ŸF¬j¬0Ÿ{¬A­0Ÿáµýµ0ŸŸ¶60Ÿ½V½0Ÿm¾}¾0ŸÀŸÂ0Ÿ£ ¡
S-¬<¬
SF¬j¬
S
­­
Sm¾}¾
S€ÁÂÁ
SŠҠ
PW¬j¬0Ÿ^¬j¬
Y
­­0Ÿ­­
Y¡¡
T¡¡	 f!€ÁÁ
TÁ’Á	 f!·Á¾Á
T¡q¡
Vÿ«(¬
Vý¬­
VKÁVÁ
V[ÁiÁ
ViÁ€Á
Y€Á’Á
V·ÁÇÁ
V¡¡
Q€Á’Á
Q·Á¾Á
Q/¡›£0Ÿð«ÿ«0Ÿ	¬-¬0Ÿ{¬
­0Ÿ­A­0Ÿáµýµ0ŸŸ¶60Ÿ½V½0ŸÀ[Á0ŸÇÁŸÂ0Ÿ/¡•¡
Sð«ÿ«
S	¬-¬
Sý¬
­
S&Á[Á
SQ¡^¡
P¬-¬0Ÿ!¬-¬
Yý¬
­0Ÿ
­
­
Y›¡›£‘Ì{{¬ý¬‘Ì{­A­‘Ì{áµýµ‘Ì{Ÿ¶6‘Ì{½V½‘Ì{À
Á‘Ì{ÇÁŸÂ‘Ì{›¡›£	ÿŸ{¬ý¬	ÿŸ­A­	ÿŸáµýµ	ÿŸŸ¶6	ÿŸ½V½	ÿŸÀ
Á	ÿŸÇÁŸÂ	ÿŸ›¡›£0Ÿ{¬ý¬0Ÿ­A­0Ÿáµýµ0ŸŸ¶60Ÿ½V½0ŸÀ
Á0ŸÇÁŸÂ0Ÿ›¡›£1Ÿ{¬ý¬1Ÿ­A­1Ÿáµýµ1ŸŸ¶61Ÿ½V½1ŸÀ
Á1ŸÇÁŸÂ1Ÿ{¢¬¢
S­A­
S¢ž¢
Pž¢ע
Z­$­
P+­A­
P½&½
Z&½>½‘€{5ÂOÂ
ZOÂi‘ˆ{¥¢›£0Ÿ{¬Ƭ0Ÿî¬ý¬0ŸŸ¶60Ÿ½V½0ŸÇÁiÂ0Ÿ¥¢ע
T½&½
T5ÂOÂ
TOÂi‘€{¥¢ע
Z½&½
Z&½>½‘€{5ÂOÂ
ZOÂi‘ˆ{ð¢ø¢
Pø¢£
[ÝÁëÁ
[¢ݣ
S{¬Ƭ
Sî¬ý¬
SŸ¶´¶
S½J½
SÇÁ0Â
S5ÂiÂ
S¶£ü£‘¸|Pªtª‘¸|¶£ڣ
Vڣü£
\PªXª
\¶£ܣ0Ÿܣí£p $0)ÿŸø£ü£p $0)ÿŸPªXªp $0)ÿŸ÷§Q¨‘ˆ{÷§Q¨
Q÷§Q¨
R÷§¨
ž¨Q¨
dQ¨Š¨‘Ð{¨¨
P
¨¨
a¨1¨p3$r"¨Q¨
dQ¨Š¨‘Ð{÷§¨0Ÿ¨¨
Pš©¬©
a¬©:ª
fš©:ª
Tš©:ª
Uš©:ª
Vš©¬©
ž¬©ì©
bª:ª
bš©¬©0Ÿ¬©ة
Pì©:ª
Pš©¬©0Ÿ¬©Щp2$u"ì©8ªp2$u"š©:ª
cš©:ª
Xš©¬©
cȩ̩
a̩Щ
g0ª:ª
žȩЩ
ž4ª:ª
a̩Щ
a0ª4ª
a4ª8ªõ)qö)õ)õ)"Ÿ	¤¤‘È|”#
ÿÿÿÿŸ¤¤
U¤ ¥‘È|”#
ÿÿÿÿŸ©½Ľ‘È|”#
ÿÿÿÿŸç½¾‘È|”#
ÿÿÿÿŸ7ÃuÄ‘È|”#
ÿÿÿÿŸ	¤ ¥	ÿŸ©½Ľ	ÿŸç½¾	ÿŸ7ÃuÄ	ÿŸ	¤ ¥0Ÿ©½Ľ0Ÿç½¾0Ÿ7ÃuÄ0Ÿ~¤ ¥0Ÿ7Ã5Ä0ŸiÄuÄ0Ÿ~¤‚¤
P‚¤´¤
[ÎÃãÃ
[ãÃøÑØzøÃ	Ä
[	Ä5Ä‘ØziÄuÄ‘Øz~¤å¤
SyÃÉÃ
SÎÃÄ
SȤå¤
PyÇÃ
P‰¤¥
V7Ã@Ã
V`ÃÄÃ
VÎÃ$Ä
ViÄuÄ
V¥§
\%³Ĵ
\6â¶
\ƒ¥§
V%³Ĵ
V6â¶
Vത
S%³Ĵ
S6â¶
SŸ¥÷¥‘è}Ÿ÷¥	¦
U	¦§‘è}Ÿ%³Ĵ‘è}Ÿ6ⶑè}Ÿ¶¥÷¥‘è}Ÿ÷¥	¦
U	¦¦‘è}Ÿ%³œ³‘è}ŸH´…´‘è}Ÿ¾¥¦
]%³œ³
]H´…´
]H´…´‘è}ŸH´…´
]H´q´}8#80.ÿŸo¥§ò€¿%³Ĵò€¿6â¶ò€¿o¥§òw¿%³Ĵòw¿6â¶òw¿o¥§òn¿%³Ĵòn¿6â¶òn¿{¥¨¥
P¨¥	¦r%³G³rѶâ¶r¦y¦‘Ø~Ÿy¦‹¦
U‹¦§‘Ø~Ÿœ³H´‘Ø~Ÿ…´Ĵ‘Ø~Ÿ6Ѷ‘Ø~Ÿ8¦y¦‘Ø~Ÿy¦‹¦
U‹¦š¦‘Ø~Ÿœ³H´‘Ø~Ÿ@¦š¦
]œ³H´
]´H´‘Ø~Ÿ´H´
]´4´}8#80.ÿŸš¦§
S…´Ĵ
Sš¦§
V…´Ĵ
Vš¦§
\…´Ĵ
\¡¦Ħ
U…´”´
U¥¦§
^…´Ĵ
^©¦§
]…´Ĵ
]¦Ħ
P…´‰´
Pߪ7«‘è}Ÿ7«@«
U@«ȫ‘è}ŸZ­D®‘è}Ÿ'¸8¸‘è}Ÿ’¸£¸‘è}Ÿöª7«‘è}Ÿ7«@«
U@«F«‘è}ŸZ­ϭ‘è}ŸþªF«
SZ­ϭ
S¤­ϭ‘è}Ÿ¤­ϭ
S¤­ĭs8#80.ÿŸF«¯«‘Ø~Ÿ¯«¸«
U¸«ȫ‘Ø~ŸϭD®‘Ø~Ÿ'¸8¸‘Ø~Ÿj«¯«‘Ø~Ÿ¯«¸«
U¸«ȫ‘Ø~ŸϭD®‘Ø~Ÿr«ȫ
SϭD®
S®D®‘Ø~Ÿ®D®
S®9®s8#80.ÿŸ˜®g¯
V˜¹ù
Vð¾Z¿
VŸÂµÂ
V­®ɮ
Pɮ¯
S˜¹Ÿ¹
PŸ¹¦¹
S¦¹²¹
P²¹æ¹
Sð¾¿
S®Ү
TҮ֮	ðe!ð¾ý¾
Tý¾¿	ðe!
¿¿
T®ɮ
Pɮ¯
Sð¾¿
S®֮
Qð¾¿
Q
¿¿
Qg¯ý¯
VP¹˜¹
Vʿè¿
VµÂÌÂ
VÃ7Ã
V¯¢¯
P¢¯¹¯
Z¹¯ê¯‘ØzP¹\¹
Pc¹Œ¹
PŒ¹˜¹
Zʿè¿‘ØzµÂÌÂ
ZÃÃ
ZÃ7ÑØz›¯°¯
T°¯¹¯	¨g!µÂÇÂ
TÇÂÌÂ	¨g!ÃÃ
T›¯¢¯
P¢¯¹¯
Z¹¯ê¯‘Øzʿè¿‘ØzµÂÌÂ
ZÃÃ
ZÃ7ÑØz›¯¹¯
QµÂÌÂ
QÃÃ
Qx°³°
Y³°0‘ØzS»h»
Yh»{»‘ØzÌÂÛÂ
YÛÂÑØzx°ƒ±
S8¸I¸
SS»á»
S.¼a¼
SÌÂÃ
Sx°Ѳ‘€{³%³‘€{Ϸ'¸‘€{8¸I¸‘€{æ¹á»‘€{¼a¼‘€{ÌÂÑ€{ڰâ°
Pâ°ï°
T¡»¯»
T¯»á»‘|ˆ°Ѳ
V³%³
VϷ'¸
V8¸I¸
Væ¹z
Vûºá»
V¼V¼
VÌÂÃ
V[±	²‘è}Ÿ	²
²
T
²Ѳ‘è}Ÿ³³‘è}Ÿ³³
U³%³‘è}ŸϷ'¸‘è}Ÿ8¸I¸‘è}Ÿæ¹Ǻ‘è}ŸûºS»‘è}Ÿ¼.¼‘è}Ÿ{±ر‘è}Ÿ³³‘è}Ÿ³³
U³%³‘è}Ÿ¸'¸‘è}Ÿûº
»‘è}Ÿƒ±ر
S³%³
S¸'¸
Sûº
»
S¸'¸‘è}Ÿ¸'¸
S¸!¸s8#80.ÿŸرѲ
 d!ŸϷ¸
 d!Ÿæ¹Ǻ
 d!Ÿ
»S»
 d!Ÿ¼.¼
 d!ŸرѲ<ŸϷ¸<Ÿæ¹Ǻ<Ÿ
»S»<Ÿ¼.¼<ŸرѲ1ŸϷ¸1Ÿæ¹Ǻ1Ÿ
»S»1Ÿ¼.¼1ŸرѲ0ŸϷ¸0Ÿæ¹Ǻ0Ÿ
»S»0Ÿ¼.¼0Ÿر7²‘€}Ÿ7²>²
T>²Ѳ‘€}ŸϷ¸‘€}Ÿæ¹Ǻ‘€}Ÿ
»S»‘€}Ÿ¼.¼‘€}ŸرѲ‘|Ϸַ
Pַ¸‘|æ¹Ǻ‘|
»S»‘|¼.¼‘|ر	²‘è}Ÿ	²
²
T
²Ѳ‘è}ŸϷ¸‘è}Ÿæ¹Ǻ‘è}Ÿ
»S»‘è}Ÿ¼.¼‘è}ŸϷ¸‘è}ŸºǺ‘|ºǺ
 d!ŸºǺ<ŸºǺ1ŸºǺ0ŸºǺ‘€}ŸºǺ‘è}Ÿ^ºǺ
 d!Ÿ^ºǺ<Ÿ^ºǺ1Ÿ^ºǺ0Ÿ^ºǺ‘€}Ÿ^ºǺ‘è}Ÿ€Ä¬Ä
U¬ÄˆÙó
UŸ€ÄËÄ
TËÄíÄ
SíÄÅó
TŸÅ$Æ
S$ÆÊËó
TŸÊËÍ
S͆Íó
TŸ†ÍVÐ
SVÐ+Õó
TŸ+ÕXÕ
SXÕfÕó
TŸfÕÀÕ
SÀÕ
Öó
TŸ
Ö×
S×*×ó
TŸ*×Ø
SØ`Øó
TŸ`ØÀØ
SÀØÜØó
TŸÜØkÙ
SkوÙó
TŸ€ÄËÄ
QËÄíÄ
\íÄÅó
QŸÅÆ
QÆ]Æ
\]ÆpËó
QŸpˀË
\€ËÊËó
QŸÊËãË
QãËÍ
\ÍcÍó
QŸcÍVÐ
\VÐ+Õó
QŸ+ÕXÕ
\XÕfÕó
QŸfÕÀÕ
\ÀÕ
Öó
QŸ
Ö×
\×*×ó
QŸ*×Ø
\Ø`Øó
QŸ`ØÀØ
\ÀØÜØó
QŸÜØcÙ
\cÙkÙ
QkوÙó
QŸ€ÄíÄ0ŸÅÆ0ŸÆÊË
VÊËÍ0Ÿ͆Í
V†ÍVÐ0ŸVÐ+Õ
V+ÕXÕ0ŸXÕfÕ
VfÕÀÕ0ŸÀÕ
Ö
V
Ö×0Ÿ×*×
V*×Ø0ŸØ`Ø
V`ØÀØ0ŸÀØÜØ
VÜØkÙ0ŸkوÙ
V9ÆpË‘À}€ËÊË‘À}ÍcÍ‘À}cÍmÍ
cm͆Í‘À}VÐ+Õ‘À}XÕfÕ‘À}ÀÕ
Ö‘À}×*בÀ}Ø`Ø‘À}ÀØÜØ‘À}kوÙ‘À}€ÄíÄ0ŸÅ]Æ0Ÿ]ÆpË
\pˀË0Ÿ€ËÊË
\ÊËÍ0ŸÍcÍ
\cÍVÐ0ŸVÐ+Õ
\+ÕXÕ0ŸXÕfÕ
\fÕÀÕ0ŸÀÕ
Ö
\
Ö×0Ÿ×*×
\*×Ø0ŸØ`Ø
\`ØÀØ0ŸÀØÜØ
\ÜØkÙ0ŸkوÙ
\¯Æ`Ë‘È}€ËÊË‘È}VÐgÒ‘È}gÒtÒ
dtÒ+Õ‘È}ÀÕ
Ö‘È}×*בÈ}Ø`Ø‘È}ÀØÜØ‘È}zوÙ‘È}àÆPË‘Ð}€ËÊË‘Ð}VÐgÒ‘Ð}Ò—Ò
e—Ò+Õ‘Ð}ÀÕ
Ö‘Ð}×*בÐ}Ø`Ø‘Ð}ÀØÜØ‘Ð}zوÙ‘Ð}Ç Ë‘Ø}0ËPË‘Ø}€ËÊË‘Ø}VÐgÒ‘Ø}µÒ¿Ò
f¿Ò+Õ‘Ø}ÀÕ
Ö‘Ø}×*בØ}Ø`Ø‘Ø}ÀØÜØ‘Ø}zوÙ‘Ø}€ÄíÄ0ŸÅ5Ç0Ÿ5Ç Ë
] Ë0Ë0Ÿ0ËPË
]PˀË0Ÿ€ËÊË
]ÊËVÐ0ŸVÐgÒ
]gÒØÒ0ŸØÒ+Õ
]+ÕÀÕ0ŸÀÕ
Ö
]
Ö×0Ÿ×*×
]*×Ø0ŸØ`Ø
]`ØÀØ0ŸÀØÜØ
]ÜØzÙ0ŸzوÙ
]dȶÊ‘à}üÊ Ë‘à}0Ë@Ë‘à}€ËÊË‘à}¬ÐºÐ
gºÐÕБà}ûЍÑ‘à}ÞÑgÒ‘à}zÓ+Õ‘à}(Ø7Ø‘à}ÏØÜØ‘à}•È¶Ê‘è}üÊ Ë‘è}€ËÊË‘è}ûÐÑ
cэÑ‘è}ÞÑgÒ‘è}zÓ+Õ‘è}(Ø7Ø‘è}ÏØÜØ‘è}
ɶÊ‘ð}üÊ
Ë‘ð}€ËÊË‘ð}jÑtÑ
dtэÑ‘ð}ÞÑgÒ‘ð}zÓ+Õ‘ð}0É>É
hVÔiÔ
hiԋÔ‘€~xÉ·É
b·ÉÊÉ‘€~€ËŠË
bšË­Ë
b‹Ô§Ô
b§ÔÒÔ‘€~ÊÉ
Ê
aèÓÔ
aÔVÔ‘~ÒÔ÷Ô
a÷Ô+Õ‘ˆ~€ÄãÄ0ŸãÄíÄ
L
ŸíÄÿÄ
QÅ&Õ0Ÿ&Õ+Õ
Y
Ÿ+ÕIÕ0ŸIÕXÕ
L
ŸXÕ±Õ0Ÿ±ÕÀÕ
L
ŸÀÕ+Ö0Ÿ+Ö:Ö
L
Ÿ:ÖXÖ0ŸXÖgÖ
L
ŸgօÖ0Ÿ…Ö”Ö
L
Ÿ”Ö²Ö0Ÿ²ÖÁÖ
L
ŸÁÖßÖ0ŸßÖîÖ
L
ŸîÖ×0Ÿ××
L
Ÿ×H×0ŸH×W×
L
ŸW×u×0Ÿuׄ×
L
Ÿ„×¢×0Ÿ¢×±×
L
Ÿ±×Ï×0ŸÏ×Þ×
L
ŸÞ×ü×0Ÿü×Ø
L
ŸرØ0Ÿ±ØÀØ
L
ŸÀØúØ0ŸúØ	Ù
L
Ÿ	Ù'Ù0Ÿ'Ù6Ù
L
Ÿ6ÙTÙ0ŸTÙcÙ
L
ŸcوÙ0Ÿ€ÄãÄ0ŸãÄÅ
!÷ŸÅ&Õ0Ÿ&Õ+Õ
!÷Ÿ+ÕIÕ0ŸIÕXÕ
!÷ŸXÕ±Õ0Ÿ±ÕÀÕ
!÷ŸÀÕ+Ö0Ÿ+Ö:Ö
!÷Ÿ:ÖXÖ0ŸXÖgÖ
!÷ŸgօÖ0Ÿ…Ö”Ö
!÷Ÿ”Ö²Ö0Ÿ²ÖÁÖ
!÷ŸÁÖßÖ0ŸßÖîÖ
!÷ŸîÖ×0Ÿ××
!÷Ÿ×H×0ŸH×W×
!÷ŸW×u×0Ÿuׄ×
!÷Ÿ„×¢×0Ÿ¢×±×
!÷Ÿ±×Ï×0ŸÏ×Þ×
!÷ŸÞ×ü×0Ÿü×Ø
!÷ŸرØ0Ÿ±ØÀØ
!÷ŸÀØúØ0ŸúØ	Ù
!÷Ÿ	Ù'Ù0Ÿ'Ù6Ù
!÷Ÿ6ÙTÙ0ŸTÙcÙ
!÷ŸcوÙ0Ÿ€ÄãÄ0ŸãÄíÄ
ŸíÄÿÄ
TÅ&Õ0Ÿ&Õ+Õ
Ÿ+ÕIÕ0ŸIÕXÕ
zŸXÕ±Õ0Ÿ±ÕÀÕ
uŸÀÕ+Ö0Ÿ+Ö:Ö
˜Ÿ:ÖXÖ0ŸXÖgÖ
ŸgօÖ0Ÿ…Ö”Ö
“Ÿ”Ö²Ö0Ÿ²ÖÁÖ
„ŸÁÖßÖ0ŸßÖîÖ
‰ŸîÖ×0Ÿ××
ŽŸ×H×0ŸH×W×
¬ŸW×u×0Ÿuׄ×
¢Ÿ„×¢×0Ÿ¢×±×
Ÿ±×Ï×0ŸÏ×Þ×
¶ŸÞ×ü×0Ÿü×Ø
§ŸرØ0Ÿ±ØÀØ
±ŸÀØúØ0ŸúØ	Ù
ÅŸ	Ù'Ù0Ÿ'Ù6Ù
ÀŸ6ÙTÙ0ŸTÙcÙ
»ŸcوÙ0Ÿ€ÄÅ0ŸűÊ0Ÿ¶ÊˆÙ0Ÿ]ƇÆ
UÍ!Í
UXÕ\Õ
U]ÆpË	ÿŸ€ËÊË	ÿŸÍcÍ	ÿŸVÐ+Õ	ÿŸXÕfÕ	ÿŸÀÕ
Ö	ÿŸ×*×	ÿŸØ`Ø	ÿŸÀØÜØ	ÿŸkوÙ	ÿŸ]ÆpË0Ÿ€ËÊË0ŸÍcÍ0ŸVÐ+Õ0ŸXÕfÕ0ŸÀÕ
Ö0Ÿ×*×0ŸØ`Ø0ŸÀØÜØ0ŸkوÙ0ŸwƇÆ
P"Í2Í
P2ÍHÍ0Ÿ5Ç_Ç
UÑœÑ
UØØ
U5Ç Ë	ÿŸ0ËPË	ÿŸ€ËÊË	ÿŸVÐgÒ	ÿŸØÒ+Õ	ÿŸÀÕ
Ö	ÿŸ×*×	ÿŸØ`Ø	ÿŸÀØÜØ	ÿŸzوÙ	ÿŸ5Ç Ë0Ÿ0ËPË0Ÿ€ËÊË0ŸVÐgÒ0ŸØÒ+Õ0ŸÀÕ
Ö0Ÿ×*×0ŸØ`Ø0ŸÀØÜØ0ŸzوÙ0ŸOÇ_Ç
PÑ­Ñ
P­ÑÃÑ0ŸrǜÇ
U)Ó8Ó
U7Ø;Ø
UrÇ Ë	ÿŸ0ËPË	ÿŸ€ËÊË	ÿŸVЍÑ	ÿŸÞÑgÒ	ÿŸØÒ+Õ	ÿŸÀÕ
Ö	ÿŸ×*×	ÿŸ(Ø`Ø	ÿŸÀØÜØ	ÿŸzوÙ	ÿŸrÇ Ë0Ÿ0ËPË0Ÿ€ËÊË0ŸVЍÑ0ŸÞÑgÒ0ŸØÒ+Õ0ŸÀÕ
Ö0Ÿ×*×0Ÿ(Ø`Ø0ŸÀØÜØ0ŸzوÙ0ŸŒÇœÇ
P9ÓIÓ
PIÓ_Ó0Ÿ¯ÇÙÇ
UØÒçÒ
UzÙ~Ù
U¯Ç Ë	ÿŸ0ËPË	ÿŸ€ËÊË	ÿŸVЍÑ	ÿŸÞÑgÒ	ÿŸØÒ)Ó	ÿŸzÓ+Õ	ÿŸÀÕ
Ö	ÿŸ×*×	ÿŸ(Ø7Ø	ÿŸEØ`Ø	ÿŸÏØÜØ	ÿŸzوÙ	ÿŸ¯Ç Ë0Ÿ0ËPË0Ÿ€ËÊË0ŸVЍÑ0ŸÞÑgÒ0ŸØÒ)Ó0ŸzÓ+Õ0ŸÀÕ
Ö0Ÿ×*×0Ÿ(Ø7Ø0ŸEØ`Ø0ŸÏØÜØ0ŸzوÙ0ŸÉÇÙÇ
PèÒøÒ
PøÒÓ0ŸìÇÈ
U¶ÊÑÊ
UöÇÈpÿŸ¶ÊÑÊpÿŸÈ=È
UVÐpÐ
UÕÐôÐ
UôÐøБ€ÀÕÄÕ
UEØVØ
UVØZØ‘€ȶÊ	ÿŸüÊ Ë	ÿŸ0ËPË	ÿŸ€ËÊË	ÿŸVЍÑ	ÿŸÞÑgÒ	ÿŸzÓ+Õ	ÿŸÀÕ
Ö	ÿŸ(Ø7Ø	ÿŸEØ`Ø	ÿŸÏØÜØ	ÿŸȶÊ0ŸüÊ Ë0Ÿ0ËPË0Ÿ€ËÊË0ŸVЍÑ0ŸÞÑgÒ0ŸzÓ+Õ0ŸÀÕ
Ö0Ÿ(Ø7Ø0ŸEØ`Ø0ŸÏØÜØ0ŸȶÊ1ŸüÊ Ë1Ÿ0ËPË1Ÿ€ËÊË1ŸVЍÑ1ŸÞÑgÒ1ŸzÓ+Õ1ŸÀÕ
Ö1Ÿ(Ø7Ø1ŸEØ`Ø1ŸÏØÜØ1Ÿ1È=È
^ÕÐûÐ
^ÕÐûÐ0ŸqІÐ
PЕÐ0ŸÙÕóÕ
PóÕþÕ
^ËÕØÕ
PØÕþÕ
_±ÈÚÈ
UÑ-Ñ
UÏØÓØ
U±È¶Ê	ÿŸüÊ Ë	ÿŸ€ËÊË	ÿŸэÑ	ÿŸÞÑgÒ	ÿŸzÓ+Õ	ÿŸ(Ø7Ø	ÿŸÏØÜØ	ÿŸ±È¶Ê0ŸüÊ Ë0Ÿ€ËÊË0ŸэÑ0ŸÞÑgÒ0ŸzÓ+Õ0Ÿ(Ø7Ø0ŸÏØÜØ0ŸËÈÚÈ
P.Ñ=Ñ
P=ÑSÑ0ŸüÌ	Í
P	ÍÍ
]†ÍAÐ
]+ÕXÕ
]fÕtÕ
]tՓÕ}
Ÿ“ÕÀÕ
]
Ö×
]*×Ø
]“ØÀØ
]ÜØcÙ
]ÎËÍ
^†ÍVÐ
^+ÕXÕ
^fÕÀÕ
^
Ö×
^*×Ø
^`ØÀØ
^ÜØkÙ
^þÏÐ
P#Ð8Ð
PßɶÊ1Ÿ­ËÊË1ŸÞÑgÒ1ŸzÓVÔ1ŸßɶÊ0Ÿ­ËÊË0ŸÞÑgÒ0ŸzÓVÔ0ŸßɶÊ
ç÷Ÿ­ËÊË
ç÷ŸÞÑgÒ
ç÷ŸzÓVÔ
ç÷ŸßÉ
Ê
QèÓÔ
QÔVÔ‘€~ßɶÊ
V­ËÊË
VÞÑgÒ
VzÓVÔ
V>ÔVÔ1Ÿ>ÔVÔ0Ÿ>ÔVÔ
ç÷Ÿ>ÔMÔ
QMÔVÔ‘€~>ÔVÔ
VʶÊ1ŸÞÑHÒ1ŸzÓèÓ1ŸʶÊ0ŸÞÑHÒ0ŸzÓèÓ0ŸʶÊ
P÷ŸÞÑHÒ
P÷ŸzÓèÓ
P÷ŸÊ$Ê
QÞÑÒ
QÒHÒ‘€~ʶÊ
\ÞÑHÒ
\zÓèÓ
\4ÒHÒ1Ÿ4ÒHÒ0Ÿ4ÒHÒ
P÷Ÿ4ÒDÒ
QDÒHÒ‘€~4ÒHÒ
\+ʶÊ1ŸzÓèÓ1Ÿ+ʶÊ0ŸzÓèÓ0Ÿ+ʶÊ
CùŸzÓèÓ
CùŸ+ÊFÊ
QzÓ¤Ó
Q¤ÓèÓ‘€~+ʶÊ
]zÓèÓ
]ÐÓèÓ1ŸÐÓèÓ0ŸÐÓèÓ
CùŸÐÓßÓ
QßÓèÓ‘€~ÐÓèÓ
]ÙÙhÚ0ŸÐÚRÜ0ŸÜóé0Ÿóéê
Pê'ê
^'ê;ê0Ÿ;êVê
PVêoê
^oêê0ŸêŒê
PŒêÉê
^Éêçê0Ÿëµí0Ÿºíëí0Ÿöíî
^8îgî0Ÿ{î‹î
^‹î¢î
P¢î´î
^´îËî
PËîÝî
^Ýî±ò0Ÿ±òÈò
PÈò‘õ0ŸÙÙhÚ0ŸÐÚRÜ0ŸÜ³ê0Ÿ³êÃê
PÃê%ë
S%ëµí0Ÿºíëí0Ÿëí{î
S{î‹î
P‹î¡ð0Ÿ¡ð¼ð
P¼ðÑð
SÑðÜð0ŸÜð÷ð
P÷ð,ñ
S,ñCñ
PCñ`ñ0Ÿ`ñwñ
SwñŽñ
PŽñ‘õ0ŸÙÙhÚ0ŸÐÚRÜ0ŸÜÒë0ŸÒë×ë.Ÿ×ëµí0Ÿºíöí0Ÿöíî
\8î‘õ0ŸÙÙhÚ0ŸÐÚRÜ0ŸÜÒë0ŸÒë×ë
!÷Ÿ×ëµí0Ÿºíöí0Ÿöíî
!÷Ÿ8î‘õ0ŸÙÙhÚ0ŸÐÚRÜ0ŸÜÒë0ŸÒë×ë
‚$Ÿ×ëµí0Ÿºíöí0Ÿöíî
V8î‘õ0Ÿ¤Û½Û
 C!Ÿ½ÛRÜ
SÜ¤Ü
SÐê7ë
Vëíðí
V8îlî
VÐêTë
SÐí×í
Sëíöí
S8î{î
Sáêüê
Püêºë
^ºíöí
^8î?î
P?î{î
^ðò
^nð€ð
P7ëKë
PKëºë
VºíÐí
VÐíåí
Påíëí
Vðñ
V,ñ1ñ
VCñeñ
Vwñ|ñ
VŽñò
V7ëTë0ŸTëZë
PZë¡ë
SºíËí
SÐíëí0Ÿð¡ð
SCñ`ñ
SŽñºñ
S¿ñîñ
Sóñò
S[OO”O–O˜O O'P2PpP™P S0S3S|ST“TPU€U¸UúUŸT¦T¨TPU€U¸UúUWV”VòVHW€WK\s\òVõVøVWW“W¢YZW5W“W¤XÀX¢YZÓZðZ¤[¨[­[À[Ø[Ü[á[ì[K\“WšW¿WàWHY`YšW¡WàWæWÂXÈXøXHY`Y¢YZPZÐXøXðZ¤[¨[­[ì[K\ÔXøXðZõZ@[P[`[z[ˆ[¤[[@[P[U[z[ˆ[ì[K\ÊAÍAÏAúA†\Ð\×\2]F]]—]ò]^P^W^²^Ä^ñ^ö^_$_Q_V__†_Ð_×_2`F``—`ò`a1a6a_abb b1bÈbÞbE!EPEwE+E0EwE¤EccÀcdGdµdßd­e×cdGdµd;e­ec¬cµdÚdÀef-f0fxfJg-f0f’fÁfëfJg`g»gÍgÐghêhÍgÐg2hah‹hêhiJi`i iâipjgi i	jpj…jÊjàj kbkðkçj k‰kðklJl`l lâlpmgl l	mpmFFFPFŽm“mm¢m¸nàn?qAqýq r~r˜rÂrÐrIsPsŽm“mm¢m¸nËnýqrˆr˜r“m˜mÀm©nàqýqhr~r˜r¹rÐrs3sIs“m˜m!n2nøqýq°p?q@rhrs3s`sxs‡s›s¹sÆstuvHvlv÷vúvÿvw†{¤{Nw^w¤{Æ{lw”w†¡þ
‚‚̂å‚肃°ñûþ
‚‚w¬wÆ{ß{¬w»wß{î{»wÄwÇwÊwñwxw„¯„4‡A‡|„„…„¯„bxµxƒ=ƒ
„„Y„f„i„l„ðyôySzxzzz}z z(z+z.zî{÷{ú{ÿ{|'|ˆ}—}w|“|½|Ê|Ì|Ï|5}U}(*-~f~\ƒpƒƒ±ƒ;„H„K„N„Ÿ»ô€€
€.€€A†a†v†™†œ†Ÿ†æ€
ֆç†é†ì†‚%‚/‚2‚5‚\‚*ŽyŽ¬Ž̎ýŽ #&*‘P““O–y–>˜ؑ+’ٗã—æ—é—þ—>˜~’ђ¦–°––ê–í–ð–-—H—•"•%•(•u•˕H—h—o—’—•—˜—W˜^˜™©™Z®‘®â¶ö¶8·ž·I¸’¸W˜^˜™©™Z®‘®â¶ö¶8·t··ž·I¸’¸U·t··ž·ý™\šV½`½c½f½À8ÀaÀ‰Àc›‚›ö¶þ¶
··‚›†››ë›f¼¼´¼è¼ë¼ó¼ö›œHœ	¤˜§v©z©|©‚©ªá«H­áµ6½V½ǽç½
¾ð¾Z¿ʿ‰ÀŸÂwœ÷œá«ð«j¬€¬W¶q¶ǽ罈œœœ“œàŸ›£ð«j¬€¬H­áµ#¶Ÿ¶6½V½
¾ð¾Z¿ʿ‰À°ÀßÀŸÂ   . S¾m¾۾ð¾7 ; B ˜ ¾þZ¿™¿œ¿Ÿ¿£ å F¬j¬
­­m¾¾ø ü ¡¡€Á•Á·ÁÇÁ/¡q¡	¬-¬ý¬
­KÁ^Á›¡¬¡¯¡´¡{¢š¢­%­(­+­š¢ž¢¥¢£½'½*½-½çÁÂ5ÂiÂz©|©š©:ª¤¤¤¤~¤å¤˸縃÷ÃÎÃ
Ä
ÄÄo¥û¦%³Ĵ6â¶o¥x¥Ÿ¥¦%³œ³H´…´Ѷⶶ¥¦%³œ³H´…´¦š¦œ³H´6Ѷ8¦š¦œ³H´š¦û¦…´ĴΪתߪF«Z­ϭ’¸£¸öªF«Z­ϭF«¹«ϭD®'¸8¸j«¹«ϭD®˜®·®˜¹ ¹£¹¦¹·®»®®ܮð¾¿
¿¿g¯¯P¹]¹`¹c¹¯”¯›¯̯µÂÌÂÃ7Ãx°ï°S»{»«»á»ÌÂÜÂßÂçÂ[±²³%³Ϸ'¸8¸I¸æ¹ǺûºS»¼6¼[±ر³%³¸'¸8¸I¸ûº
»{±ر³%³¸'¸ûº
»ر²Ϸ¸æ¹
º"ºYº
»S»¼6¼ç±ó±Ϸ¸º
º"ºYº^ºeº}º´º‚ĉĞÄËÄÅØÉÀÊ­ËÊËÞÑgÒzÓVԈÙ]ƇÆÍHÍXÕfÕ5Ç_ǍÑÃÑØ(ØrǜÇ)Ó_Ó7ØEدÇÙÇØÒÓzوÙìÇÈÀÊÒÊÕÊÙÊÈ=ÈVЕÐÕÐûÐÀÕþÕEØ`Ø-È=ÈÕÐûбÈÚÈÑSÑÏØÜØÊË͆ÍVÐ+ÕXÕfÕÀÕ
Ö×*×Ø`ØÀØÜØkÙßÉ
ÊèÓVÔÊ$ÊÞÑHÒ+ÊFÊ­ËÃËHÒ`ÒzÓèÓHÒ`ÒÐÓèӒ٩ٶÙÆÙÙÙNÚÐÚèÚ¤ÛÜÜ7ÜBÜI܈ܨܤÛ܈ܨÜÝcÝ|ìžìµìÙìðìícÝ×àgï‰ï ïðò±òÐêçê8îgî%ë¡ëºíëíð†ðCñ`ñŽñòPG‘õÀ>‡?‡?$A$A‘A‘A+B+B™B™B¬C¬CFFZF.symtab.strtab.shstrtab.note.gnu.build-id.gnu.hash.dynsym.dynstr.gnu.version.gnu.version_r.rela.dyn.rela.plt.init.text.fini.rodata.eh_frame_hdr.eh_frame.init_array.fini_array.jcr.dynamic.got.got.plt.data.bss.comment.debug_aranges.debug_info.debug_abbrev.debug_line.debug_str.debug_loc.debug_rangesÈ
È
$.öÿÿoð
ð
P8@@È
@

Œ
Hÿÿÿo””æUþÿÿo€€PdÐÐðnÀ1À1°
x
p9p9s
990~
À>À>Ѷ„
”õ”õ	Š
 õ õP"’
ð
ð
| 
p
p
l
ª0-!0-
¶8-!8-
Â
@-!@-
ÇH-!H-
à
Ð
(/!(/
ØÕ
0!0
¨Þ
À2!À2
È1 ä d!ˆd
˜ é
0ˆd
+

ò
³d
°



ce
³




x


³}'
'

02¥Æb

2

ø@è

=

8ð0'
hK


x!x0"”
	ðQ¡6

È
ð
@
”€ÐÀ1	p9
9À>”õ
 õð
p
0-!8-!@-!H-!(/!0!À2! d!
ñÿPGJ`GŠpGÆ€G
GD
 G†
°GEÅ
HU`H%<H%tÀH!²ðH)ò I/@InPIQ¤°I=ÜðI"  JAfpJ)± JIþðJ
>KIWPKh
uÀLv@MEË
Ði!
j!MT
Èi!°MØ
€i!"ÐMd
ˆi!§ðMÜ
i!NM
˜i!‰0NÇ
Ài!	PN9	
 i!m	pN©	
¨i!æ	N

°i!Q
°NŽ

¸i!Ì
ÐNlç
@O àO.À>Ç+PíEQ&_0Q¤•àQqÉ`R‘Ù
Ðf!î‡?
ÿ$AmSW"
0i!3
(j!;
j!M`Vk‘Aš†+Bn€\²ð
ˆh!8
@]²„

h!Å
^²
˜h!7À^_|
 h!¶ __ò
¨h!$€_²j
°h!¥@`²ã
¸h!a_^
Àh!š™B
´
˜g!Å
j!Í`a¯ì
 d!hbÚ¬CVGðb½ˆ
g!”
øe! 
àA!·°eš
ó
`f!
B!Pgš
b
B!yðh€
µ
h!Á
 B!Øpj€
"
Ðg!4
0B!Kðk€
œ
@B!³FXÞpmà÷PsvÐsœ-pvkV
xh!o
Èe!~
ph!™
Ðe!¨
Àe!·
 i!Ð
Hf!ûà^
i!3
Øe!B
èe!O
xA!Y
QA!d
WA!o
TA!z
lA!„
pA!Ž
nA!˜
vA!¢
bA!¬
zA!¶
fA!À
|A!Ê
hA!Ô
~A!Þ
jA!è
‚A!ò
tA!ü@˜5,9
øh!r
@i!@~
 A!@Ž
Xf!
 j!¥
`h!¸
(g!Ê
 f!Ú
8h!
(h!0
Xh!\
 g!i
ðe!y
¨g!‹
èg!›
g!«€Äá
Øh!
ðh!X
ˆg!l
`g!{
g!’
h!¢
hh!®
pg!Á
ðg!Ó
Hg!ä
°g!ü
8f!
˜f! 
¨f!/
 f!D
(f!Y
hg!q
Àg!€
ðf!’
xf!ž
€g!¸
f!Ê
`B!¨á
àd! ï
 C!¨
j!

j!
øi!*
Xg!9
¸f!I
€h!]
h!r
0h!‰
8g!°
0g!Ü
àe!ë
@h!
Ph!C
Hh!q
pf!ƒ
Pf!
Àf!¤
Èf!°
xg!Ã
 g!Ï
Øg!ß
øg!ï
h!
°f!
ˆf!0
@f!A
Èg!O
f!^
g!q
f!…
f!š
0f!¦
Pg!»
@g!Ï
¸e!Þ
øf!ò
 h!
°e!.
 e!j
 b!ˆ
¤
€`!ˆ
Ü
e!
à^!ˆ
R
Ðh!‹
€e!É
]!ˆ

Èh!A
pe!~
 [!ˆ
±
`e!æ
@Y!ˆ
  
Pe!\ 
`W!ˆ
 
@e!À 
€U!ˆ
ù 
0e!4!
 S!ˆ
g!
 e!œ!
ÀQ!ˆ
Ü!
e!"
àO!ˆ
e"
e!®"
(i!Î"
i!ê"
i!#
i! #
ði![#
èi!™#
èh!Ð#
ài!	$
àh!>$
Øi!u$
g!…$
€f!“$
0j!Ÿ$
f!Ç$
d! ÿ$
hf!%
€A!%
±@!(%
 =!yQ%
`=!<z%
`<!#¥%
 =!$Î%
à<!9÷%
¶?!
&
À>!#3&
`>!C[&
	@!n&
A!|&
rA!†&
©?!
›&
A!©&
©@!¹&
A!Ç&
àg!Õ&
JA!á&
ú@!ï&
¡@!ÿ&
FA!'
=A!'
¸g!''
8A!4'
Ž?!J'
™@!Z'
Ë@!i'
X@!	z'
<@!
Œ'
P?!¤'
O@!	µ'
F@!	Æ'
€?!Ü'
3A!é'
*A!	ö'
þ?!	(
Ä@!(
2@!
*(
?!N(
 <!"w(
‘@!‡(
NA!’(
ô@! (
î@!®(
dA!¸(
œ?!
Í(
(@!
ß(
‰@!ï(
èf!ÿ(
è@!
)
àf!%)
p?!;)
Øf!W)
0?!q)
ï?!„)
ä?!—)
â@!¥)
`?!»)
%A!È)
Ü@!Ö)
@!æ)
ð>!*
y@!*
BA!(*
`A!2*
q@!B*
A!	O*
@!
a*
A!n*
^A!x*
 >!% *
½@!¯*
i@!¿*
\A!É*
Ù?!Ü*
Î?!ï*
a@!ÿ*
Ã?!+
@!
$+
A!1+
ZA!;+
Ö@!I+
€Q!@“+
`S!@Ö+
@U!@,
 W!@H,
Y!@|,
àZ!@¹,
À\!@ï,
 ^!@--
Àc!@j-
à:!q
«-
à2!ãá-ñÿì-
@-!ù-`F.F!.ÐF7.
 d!
F.
8-!m.Gy.
0-!á-ñÿ˜.
Ø'
¦.
@-!ñÿ².
À2!¿.
H-!È.
ˆd!Ô.
0!ê.//)/;/M/Y/j/y/ •/¨/µ/Â/Ð/Àd!00&080I0_0q0‚0™0¬0Ã0Ð0ˆd!×0ð011”õ121E1S1c1t1†1—1§1Á1Ó1ß1í122&272N2\2m2€22 2¯2Â2Ù2ñ233 "3.3B3R3a3o3…3—3´3Ã3×3æ3÷38j!ü34 4/4<4ˆd!H4S4f4s4‰44©4»4Ï4Û4ê4ü4 5"515F5T5b5s5€5•5¥5¶5 Ð5à5ñ5Ù
þ56"'6	p9-6?6U6b6p6…6‘6sgd_fast.c__pyx_f_7sklearn_12linear_model_8sgd_fast_12LossFunction_loss__pyx_f_7sklearn_12linear_model_8sgd_fast_12LossFunction__dloss__pyx_f_7sklearn_12linear_model_8sgd_fast_10Regression_loss__pyx_f_7sklearn_12linear_model_8sgd_fast_10Regression__dloss__pyx_f_7sklearn_12linear_model_8sgd_fast_14Classification_loss__pyx_f_7sklearn_12linear_model_8sgd_fast_14Classification__dloss__pyx_f_7sklearn_12linear_model_8sgd_fast_13ModifiedHuber_loss__pyx_f_7sklearn_12linear_model_8sgd_fast_13ModifiedHuber__dloss__pyx_f_7sklearn_12linear_model_8sgd_fast_5Hinge_loss__pyx_f_7sklearn_12linear_model_8sgd_fast_5Hinge__dloss__pyx_f_7sklearn_12linear_model_8sgd_fast_12SquaredHinge_loss__pyx_f_7sklearn_12linear_model_8sgd_fast_12SquaredHinge__dloss__pyx_f_7sklearn_12linear_model_8sgd_fast_11SquaredLoss_loss__pyx_f_7sklearn_12linear_model_8sgd_fast_11SquaredLoss__dloss__pyx_f_7sklearn_12linear_model_8sgd_fast_5Huber_loss__pyx_f_7sklearn_12linear_model_8sgd_fast_5Huber__dloss__pyx_f_7sklearn_12linear_model_8sgd_fast_18EpsilonInsensitive_loss__pyx_f_7sklearn_12linear_model_8sgd_fast_18EpsilonInsensitive__dloss__pyx_f_7sklearn_12linear_model_8sgd_fast_25SquaredEpsilonInsensitive_loss__pyx_f_7sklearn_12linear_model_8sgd_fast_25SquaredEpsilonInsensitive__dloss__pyx_tp_dealloc_7sklearn_12linear_model_8sgd_fast_LossFunction__Pyx_BufFmt_ParseNumber__Pyx_BufFmt_DescribeTypeChar__pyx_bisect_code_objects__pyx_tp_new_7sklearn_12linear_model_8sgd_fast_LossFunction__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_LossFunction__pyx_empty_tuple__pyx_tp_new_7sklearn_12linear_model_8sgd_fast_Regression__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_Regression__pyx_tp_new_7sklearn_12linear_model_8sgd_fast_SquaredEpsilonInsensitive__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_SquaredEpsilonInsensitive__pyx_tp_new_7sklearn_12linear_model_8sgd_fast_EpsilonInsensitive__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_EpsilonInsensitive__pyx_tp_new_7sklearn_12linear_model_8sgd_fast_Huber__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_Huber__pyx_tp_new_7sklearn_12linear_model_8sgd_fast_SquaredLoss__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_SquaredLoss__pyx_tp_new_7sklearn_12linear_model_8sgd_fast_Classification__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_Classification__pyx_tp_new_7sklearn_12linear_model_8sgd_fast_Log__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_Log__pyx_tp_new_7sklearn_12linear_model_8sgd_fast_SquaredHinge__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_SquaredHinge__pyx_tp_new_7sklearn_12linear_model_8sgd_fast_Hinge__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_Hinge__pyx_tp_new_7sklearn_12linear_model_8sgd_fast_ModifiedHuber__pyx_vtabptr_7sklearn_12linear_model_8sgd_fast_ModifiedHuber__Pyx_RaiseArgtupleInvalid__Pyx_BufFmt_RaiseExpected__Pyx_PyObject_IsTrue__Pyx_PyNumber_Int__Pyx_PyInt_As_npy_uint32__Pyx_PyObject_GetAttrStr__pyx_f_7sklearn_12linear_model_8sgd_fast_3Log__dloss__pyx_f_7sklearn_12linear_model_8sgd_fast_3Log_loss__Pyx_SetVtable__pyx_n_s_pyx_vtable__Pyx_ImportType__Pyx_GetVtable__Pyx_AddTraceback__pyx_code_cache__pyx_m__pyx_empty_bytes__Pyx_BufFmt_ProcessTypeChunk__Pyx_PyInt_As_int.part.11__Pyx_TypeTest.isra.13__pyx_pw_7sklearn_12linear_model_8sgd_fast_25SquaredEpsilonInsensitive_3__reduce____pyx_ptype_7sklearn_12linear_model_8sgd_fast_SquaredEpsilonInsensitive__pyx_pw_7sklearn_12linear_model_8sgd_fast_18EpsilonInsensitive_3__reduce____pyx_ptype_7sklearn_12linear_model_8sgd_fast_EpsilonInsensitive__pyx_pw_7sklearn_12linear_model_8sgd_fast_5Huber_3__reduce____pyx_ptype_7sklearn_12linear_model_8sgd_fast_Huber__pyx_pw_7sklearn_12linear_model_8sgd_fast_11SquaredLoss_1__reduce____pyx_ptype_7sklearn_12linear_model_8sgd_fast_SquaredLoss__pyx_pw_7sklearn_12linear_model_8sgd_fast_3Log_1__reduce____pyx_ptype_7sklearn_12linear_model_8sgd_fast_Log__pyx_pw_7sklearn_12linear_model_8sgd_fast_12SquaredHinge_3__reduce____pyx_ptype_7sklearn_12linear_model_8sgd_fast_SquaredHinge__pyx_pw_7sklearn_12linear_model_8sgd_fast_5Hinge_3__reduce____pyx_ptype_7sklearn_12linear_model_8sgd_fast_Hinge__pyx_pw_7sklearn_12linear_model_8sgd_fast_13ModifiedHuber_1__reduce____pyx_ptype_7sklearn_12linear_model_8sgd_fast_ModifiedHuber__Pyx_Import.constprop.30__pyx_n_s_import__pyx_b__Pyx_BufFmt_Init.constprop.36__Pyx_TypeInfo_double__Pyx_PrintOne.constprop.38__Pyx_ParseOptionalKeywords.constprop.39__pyx_pw_7sklearn_12linear_model_8sgd_fast_12LossFunction_1dloss__pyx_n_s_p__pyx_n_s_y__pyx_pyargnames.12831__pyx_pw_7sklearn_12linear_model_8sgd_fast_5Hinge_1__init____pyx_n_s_threshold__pyx_pyargnames.12942__pyx_pw_7sklearn_12linear_model_8sgd_fast_12SquaredHinge_1__init____pyx_pyargnames.13015__pyx_pw_7sklearn_12linear_model_8sgd_fast_5Huber_1__init____pyx_n_s_c__pyx_pyargnames.13156__pyx_pw_7sklearn_12linear_model_8sgd_fast_18EpsilonInsensitive_1__init____pyx_n_s_epsilon__pyx_pyargnames.13226__pyx_pw_7sklearn_12linear_model_8sgd_fast_25SquaredEpsilonInsensitive_1__init____pyx_pyargnames.13293__Pyx_GetItemInt_Fast.part.16.constprop.41__Pyx_BufFmt_CheckString__Pyx_GetBuiltinName__Pyx_Raise.isra.17.constprop.40__pyx_f_5numpy__util_dtypestring.isra.19__pyx_builtin_ValueError__pyx_tuple__5__pyx_builtin_RuntimeError__pyx_tuple__4__pyx_tuple__6__pyx_ptype_5numpy_dtype__pyx_kp_u_unknown_dtype_code_in_numpy_pxd__Pyx_GetBuffer.constprop.34__pyx_ptype_5numpy_ndarray__pyx_tuple__3__pyx_tuple___pyx_k_O__pyx_k_Zg__pyx_k_Zd__pyx_k_Zf__pyx_k_g__pyx_k_d__pyx_k_f__pyx_k_Q__pyx_k_q__pyx_k_L__pyx_k_l__pyx_k_I__pyx_k_i__pyx_k_H__pyx_k_h__pyx_k_B__pyx_k_b__pyx_pf_7sklearn_12linear_model_8sgd_fast_plain_sgd.isra.21__pyx_ptype_7sklearn_5utils_13weight_vector_WeightVector__Pyx_zeros__Pyx_minusones__pyx_n_s_time__pyx_d__pyx_kp_s_Epoch_d__pyx_n_s_nonzero__pyx_n_s_shape__pyx_kp_s_Norm_2f_NNZs_d_Bias_6f_T_d_Avg_l__pyx_kp_s_Total_training_time_2f_seconds__pyx_kp_s_Floating_point_under_overflow_oc__pyx_n_s_np__pyx_n_s_zeros__pyx_n_s_float64__pyx_n_s_dtype__pyx_n_s_order__pyx_pw_7sklearn_12linear_model_8sgd_fast_1plain_sgd__pyx_ptype_7sklearn_12linear_model_8sgd_fast_LossFunction__pyx_ptype_7sklearn_5utils_11seq_dataset_SequentialDataset__pyx_n_s_intercept__pyx_n_s_loss__pyx_n_s_penalty_type__pyx_n_s_alpha__pyx_n_s_C__pyx_n_s_l1_ratio__pyx_n_s_dataset__pyx_n_s_n_iter__pyx_n_s_fit_intercept__pyx_n_s_verbose__pyx_n_s_shuffle__pyx_n_s_seed__pyx_n_s_weight_pos__pyx_n_s_weight_neg__pyx_n_s_learning_rate__pyx_n_s_eta0__pyx_n_s_power_t__pyx_n_s_t__pyx_n_s_intercept_decay__pyx_n_s_weights__pyx_pyargnames.13382__pyx_methods__pyx_string_tab__pyx_lineno__pyx_clineno__pyx_filename__pyx_n_s_main__pyx_n_s_range__pyx_builtin_range__pyx_n_s_ValueError__pyx_n_s_RuntimeError__pyx_kp_u_ndarray_is_not_C_contiguous__pyx_kp_u_ndarray_is_not_Fortran_contiguou__pyx_tuple__2__pyx_kp_u_Non_native_byte_order_not_suppor__pyx_kp_u_Format_string_allocated_too_shor__pyx_kp_u_Format_string_allocated_too_shor_2__pyx_n_s_t_start__pyx_n_s_u__pyx_n_s_q_data_ptr__pyx_n_s_q__pyx_n_s_is_hinge__pyx_n_s_i__pyx_n_s_epoch__pyx_n_s_count__pyx_n_s_class_weight__pyx_n_s_sample_weight__pyx_n_s_sumloss__pyx_n_s_update__pyx_n_s_eta__pyx_n_s_xnnz__pyx_n_s_infinity__pyx_n_s_x_ind_ptr__pyx_n_s_x_data_ptr__pyx_n_s_w__pyx_n_s_n_features__pyx_n_s_n_samples__pyx_tuple__7__pyx_n_s_plain_sgd__pyx_kp_s_Users_ogrisel_code_scikit_learn__pyx_codeobj__8__pyx_vtable_7sklearn_12linear_model_8sgd_fast_LossFunction__pyx_type_7sklearn_12linear_model_8sgd_fast_LossFunction__pyx_type_7sklearn_12linear_model_8sgd_fast_Regression__pyx_vtable_7sklearn_12linear_model_8sgd_fast_Regression__pyx_type_7sklearn_12linear_model_8sgd_fast_Classification__pyx_ptype_7sklearn_12linear_model_8sgd_fast_Regression__pyx_vtable_7sklearn_12linear_model_8sgd_fast_Classification__pyx_type_7sklearn_12linear_model_8sgd_fast_ModifiedHuber__pyx_ptype_7sklearn_12linear_model_8sgd_fast_Classification__pyx_vtable_7sklearn_12linear_model_8sgd_fast_ModifiedHuber__pyx_type_7sklearn_12linear_model_8sgd_fast_Hinge__pyx_vtable_7sklearn_12linear_model_8sgd_fast_Hinge__pyx_type_7sklearn_12linear_model_8sgd_fast_SquaredHinge__pyx_vtable_7sklearn_12linear_model_8sgd_fast_SquaredHinge__pyx_type_7sklearn_12linear_model_8sgd_fast_Log__pyx_vtable_7sklearn_12linear_model_8sgd_fast_Log__pyx_type_7sklearn_12linear_model_8sgd_fast_SquaredLoss__pyx_vtable_7sklearn_12linear_model_8sgd_fast_SquaredLoss__pyx_type_7sklearn_12linear_model_8sgd_fast_Huber__pyx_vtable_7sklearn_12linear_model_8sgd_fast_Huber__pyx_type_7sklearn_12linear_model_8sgd_fast_EpsilonInsensitive__pyx_vtable_7sklearn_12linear_model_8sgd_fast_EpsilonInsensitive__pyx_type_7sklearn_12linear_model_8sgd_fast_SquaredEpsilonInsensitive__pyx_vtable_7sklearn_12linear_model_8sgd_fast_SquaredEpsilonInsensitive__pyx_ptype_7cpython_4type_type__pyx_ptype_5numpy_flatiter__pyx_ptype_5numpy_broadcast__pyx_ptype_5numpy_ufunc__pyx_vtabptr_7sklearn_5utils_13weight_vector_WeightVector__pyx_vtabptr_7sklearn_5utils_11seq_dataset_SequentialDataset__pyx_ptype_7sklearn_5utils_11seq_dataset_ArrayDataset__pyx_vtabptr_7sklearn_5utils_11seq_dataset_ArrayDataset__pyx_ptype_7sklearn_5utils_11seq_dataset_CSRDataset__pyx_vtabptr_7sklearn_5utils_11seq_dataset_CSRDataset__pyx_n_s_numpy__pyx_n_s_sysPyArray_API__pyx_n_s_sklearn_linear_model_sgd_fast__pyx_mdef_7sklearn_12linear_model_8sgd_fast_1plain_sgd__pyx_n_s_test__pyx_k_C__pyx_k_Epoch_d__pyx_k_Floating_point_under_overflow_oc__pyx_k_Format_string_allocated_too_shor__pyx_k_Format_string_allocated_too_shor_2__pyx_k_Non_native_byte_order_not_suppor__pyx_k_Norm_2f_NNZs_d_Bias_6f_T_d_Avg_l__pyx_k_RuntimeError__pyx_k_Total_training_time_2f_seconds__pyx_k_Users_ogrisel_code_scikit_learn__pyx_k_ValueError__pyx_k_alpha__pyx_k_c__pyx_k_class_weight__pyx_k_count__pyx_k_dataset__pyx_k_dtype__pyx_n_s_end__pyx_k_end__pyx_k_epoch__pyx_k_epsilon__pyx_k_eta__pyx_k_eta0__pyx_n_s_file__pyx_k_file__pyx_k_fit_intercept__pyx_k_float64__pyx_k_import__pyx_k_infinity__pyx_k_intercept__pyx_k_intercept_decay__pyx_k_is_hinge__pyx_k_l1_ratio__pyx_k_learning_rate__pyx_k_loss__pyx_k_main__pyx_k_n_features__pyx_k_n_iter__pyx_k_n_samples__pyx_k_ndarray_is_not_C_contiguous__pyx_k_ndarray_is_not_Fortran_contiguou__pyx_k_nonzero__pyx_k_np__pyx_k_numpy__pyx_k_order__pyx_k_p__pyx_k_penalty_type__pyx_k_plain_sgd__pyx_k_power_t__pyx_n_s_print__pyx_k_print__pyx_n_s_pyx_getbuffer__pyx_k_pyx_getbuffer__pyx_n_s_pyx_releasebuffer__pyx_k_pyx_releasebuffer__pyx_k_pyx_vtable__pyx_k_q_data_ptr__pyx_k_range__pyx_k_sample_weight__pyx_k_seed__pyx_k_shape__pyx_k_shuffle__pyx_k_sklearn_linear_model_sgd_fast__pyx_k_sumloss__pyx_k_sys__pyx_k_t__pyx_k_t_start__pyx_k_test__pyx_k_threshold__pyx_k_time__pyx_k_u__pyx_k_unknown_dtype_code_in_numpy_pxd__pyx_k_update__pyx_k_verbose__pyx_k_w__pyx_k_weight_neg__pyx_k_weight_pos__pyx_k_weights__pyx_k_x_data_ptr__pyx_k_x_ind_ptr__pyx_k_xnnz__pyx_k_y__pyx_k_zeros__pyx_methods_7sklearn_12linear_model_8sgd_fast_SquaredEpsilonInsensitive__pyx_methods_7sklearn_12linear_model_8sgd_fast_EpsilonInsensitive__pyx_methods_7sklearn_12linear_model_8sgd_fast_Huber__pyx_methods_7sklearn_12linear_model_8sgd_fast_SquaredLoss__pyx_methods_7sklearn_12linear_model_8sgd_fast_Log__pyx_methods_7sklearn_12linear_model_8sgd_fast_SquaredHinge__pyx_methods_7sklearn_12linear_model_8sgd_fast_Hinge__pyx_methods_7sklearn_12linear_model_8sgd_fast_ModifiedHuber__pyx_methods_7sklearn_12linear_model_8sgd_fast_LossFunction__pyx_doc_7sklearn_12linear_model_8sgd_fast_12LossFunction_dloss__pyx_doc_7sklearn_12linear_model_8sgd_fast_plain_sgdcrtstuff.c__JCR_LIST__deregister_tm_clonesregister_tm_clones__do_global_dtors_auxcompleted.6973__do_global_dtors_aux_fini_array_entryframe_dummy__frame_dummy_init_array_entry__FRAME_END____JCR_END____dso_handle_DYNAMIC__TMC_END___GLOBAL_OFFSET_TABLE_PyUnicodeUCS4_DecodeUTF8PyList_NewPyString_FromStringAndSizePyExc_SystemErrorfree@@GLIBC_2.2.5PyDict_SizePyFile_SoftSpace_Py_ZeroStruct_ITM_deregisterTMCloneTablePyGILState_ReleasePyFloat_TypePyTuple_TypePyErr_Restore__pyx_module_is_main_sklearn__linear_model__sgd_fastPyEval_RestoreThreadPyFrame_NewPyCFunction_NewExPyBuffer_Release__finite@@GLIBC_2.2.5Py_InitModule4_64exp@@GLIBC_2.2.5PyObject_GetAttrStringPyImport_AddModulePyObject_SetAttrStringPyErr_WarnEx_edataPyErr_NormalizeExceptionPyObject_RichComparePyCode_New_fini__stack_chk_fail@@GLIBC_2.4PyExc_RuntimeErrorPyNumber_LongPyErr_SetStringPyObject_GetItemPyInt_FromSsize_tPyExc_ValueErrorPyExc_TypeErrorPyString_InternFromStringPyGILState_EnsurePyErr_PrintPyMem_ReallocPyErr_ExceptionMatchespow@@GLIBC_2.2.5PyTraceBack_Typelog@@GLIBC_2.2.5_PyThreadState_CurrentPyOS_snprintfPyTraceBack_HerePyFloat_FromDoublePyType_ReadyPyFile_WriteObjectPyDict_GetItemPyFile_WriteString_Py_CheckRecursiveCall_Py_CheckRecursionLimitPyString_FromStringPyString_Type__gmon_start__PyTuple_NewPyExc_OverflowErrorPySys_GetObjectPyErr_OccurredPyLong_AsLongPyImport_ImportModulePyString_AsStringPyObject_CallFunctionObjArgsPyCObject_Typemalloc@@GLIBC_2.2.5_Py_NoneStructPyFloat_AsDouble_endPyObject_IsTruePyExc_BaseException_Py_TrueStructPyNumber_Int__bss_startPyDict_NewPyObject_GetBuffer_PyString_EqPyLong_AsUnsignedLongPyString_FromFormatPyDict_NextPyBaseObject_TypePyCObject_AsVoidPtrPyErr_FetchPyInt_FromLongPyEval_SaveThread_Jv_RegisterClassesPyExc_ImportErrorPyDict_SetItemPyExc_AttributeErrorPyObject_CallPyCapsule_NewPyType_IsSubtypePyErr_FormatPyCapsule_GetPointerPyExc_NameErrorPyModule_GetDict_ITM_registerTMCloneTablePyString_FormatPyObject_GetAttrinitsgd_fastPyMem_Malloc__cxa_finalize@@GLIBC_2.2.5_initPyNumber_SubtractPyUnicodeUCS4_ComparePyTuple_PackPy_GetVersionPyUnicodeUCS4_FormatPyList_TypePyImport_Import