Support To Rename Very Many Files in operating systems of Microsoft

REN! = Renaming File Groups / @.Kos (R) MMVII DIR! = Writes pathnames into REN$.BAT file / @.Kos (R) 2007. RENG = Rename Generator (runs DIR! then REN! utility) / @.Kos (R) 2007.

Support To Rename Very Many Files in operating systems of Microsoft programmed and written by Kostyán Ákos Antal – 2007

A magyar olvasóhoz / Remark for Hungarian readers Az eredeti magyar kiadás az angol fordítás végén található. (You can find the original Hungarian edition which is appended to this translated text.)

The task When naming objects stored on your computer you must use unique names, else it is possible that different objects mixed up because of their identical names, and one object could even destroy the other. Identical filenames can be stored in different folders or directories vainly, since copy or move the objects between folders may result conflict, and does not yield an evident result in retrieving if given name can belong to more files. In particular, that devices can cause complications which provide unique names with sequence number such as digital cameras, if too few digits are used. Author's camera gives 4-digit sequence number of photos: if you delete them, numbers of deleted images will be lost even if you delete only the last image. Although ten-thousand numbers still would take a long time, but in case of warrantial repair the service rather replaces the camera to fulfill its obligation, so it have no unpaid repairing price; then of course, the new device will again give the sequence numbers have been used, creating a conflict of the names. This product package may eliminate the problem of identical names. It contains one utility and two batch command procedure. Furthermore, it is generally applicable to resolve any similar task where the filenames are beginning with identical characters, which can constitute the basis of a group. For the example, after the first rollover of the counter you must rename all the old photos: their names extend up to XXYY9999. You must rename them to begin with XX01, then after the second rollover, the photos should have been renamed to begin with XX02, and so on. (The XX00 may remain due to warranty replacement). This method ensures that the photos can always be in creating order, based on their names.

The solution The images lie scattered around the hard drive in the structure of folders named by date of recording and included into another folders named by appropriate themes. When Author's camera had been replaced, there were more than six hundred images in this structure, so the manually renaming was out of the question; instead, the old names are collected by the DIR command of the operating system into a file, which is converted with a specific word processing program so that you can run it as a command which executes all the necessary renaming task automatically.

Execution In the command line (so called DOS-window) type the REName Generator command as follows:

=> RENG d new old [OLD [Old]] where

d new old OLD, Old

= = = =

the drive letter (upper- or lower case, but without colon) new grouping string, i.e. what to be changed to the old selection string, i.e. what to be changed from same but other script, if the different forms of writing are to be renamed.

At the end of run you may visually check the generated REN$.BAT file, then type the => REN$ command.

Example After the first rollover, the bulk renaming is performed as follows: => => => =>

reng e HP01 HPIM ren$ reng C HP01 HPIM ren$ On some machines, data disk is D (not E), and may unnecessary to process drive C (generally the system disk) if you do not store photos there. After the second rollover „new” will be HP02, and so on. „Old” will be HPIM always.

The procedures The RENG command firstly calls the DIR! command, then it calls the REN! program automatically. You learned RENG.BAT procedure above, now consider independent using of the DIR!.BAT procedure: => DIR! d filegroup where d = the drive letter (upper- or lower case, but without colon) filegroup = template of the names to be extracted: path allowed except leftmost backslash In case of other works „filegroup” may all combinations allowed by the system, for the photos of the hp-camera HPIM*.* should be given: this provides persisting of .jpg .wav .avi .mpg types while all the names have been replaced. The extracted paths are written into the REN$.BAT file.

The REN! utility fills text of REN$.BAT into a work table, creates keys from filenames, sorts the table in ascending order, tramsforms the keys for the renaming, deletes rows of unchanged keys, writes the rename commands out from rows of table, with which the utility overwrites the REN$.BAT file; visual overview of this you will notice if a name is listed in several places (which of course is not desirable, but it is allowed). The file is sorted by names. The program deletes the work table, but in case of abnormal interruption can leave trash behind: if so, $$$$.* (.$$$ .$$$, .$$$ .dbf, .dbf .dbt, .dbt .dbu, .dbu .ntx) .ntx can be deleted manually.

Calling of the utility => REN! old[,OLD[,Old]] new old = original string (three forms of writing possible) new = changed string

-2-

The „old” string is compared with the filenames beginning from their leftmost character, the internal occurrences are ignored; when „old” is found in the left side of any names it is exchanged to „new” string. The ren$ command works only once by nature; if necessary, rename it to anything.txt for documentation purpose, otherwise the next dir! (or reng) command overwrites it in the current directory.

Operating systems Each member of the support package takes into account the functional difference of systems in use (MS-DOS; Windows: 95, NT/XP), therefore it can be used in any one. It would be beyond the scope of this publication to describe the differences in detail; the user must be aware of the properties of her/his system anyway. The essence is the allowed length and the character set of file names in a given operating system, and the fact that they are stably within one system, or have dual nature: since at first the Microsoft used an integrated solution in its Windows system to process commands, then because of this became more complicated, finally it separated its interpreters (Command.COM – CMD.exe), so it introduced the emulated- and the native modes; the former shows the traditional DOS interface also in the case of Windows. The divergences appear in using of lower case letters, long form filenames and special characters, including the well-known cases of required quotation marks (") to enter them in the access path as well.

Notes Be sure with searching function (/S) of the dir system command: for example, the argument of command dir/s buda* results the same effect in form Buda or BUDA too! And in the list will be displayed BUDA, budai, Budapest, etc. But Óbuda. („Which begins as buda, lower- or upper case, regardless of its form.”) The ren! program, however, does not regard letters or capitals of the argument to be the same! (This is why you can specify up to 3-kinds of those to take them „under one roof”.) For example, ren! buda,BUDA pest is going to result BUDA → pest budai → pesti and Budapest will be eliminated. In addition, when you execute the generated ren$ procedure, lower case letters of new names in the renaming commands may be canged to upper case, depending on your system (DOS or emulated mode; only the native mode of Windows keeps the lower case letters).

Messages The bilingual error messages are clear, and you get help when the count of parameters in the commands more or less than required, and if one element contains either ? (question mark) or / (slash), or it is formally invalid as it has syntax error. The RENG does not give any other message, only the DIR! procedure and the REN! program; the latter is also informs you with spinning counter while it runs, and at the end: Preparing... # keys; Sorting... # done. Writing sorted... # lines, done.

-3-

Text of batch commands RENG.BAT

······························································································· @echo off REM Rename Generator REM To run DIR! command, then REN! utility REM ------------------------------------------------------ @.Kos (R) REM Átnevező generátor REM Futtatni a DIR! parancsot, majd a REN! segédprogramot : --2007.MAJ if not %6.==. Goto U if %3.==. Goto U if %2.==. Goto U if %1.==. Goto U goto R :U echo. Echo Rename Generator / Átnevező generátor echo Usage / Használat echo. Echo %0 d new old [opt [mix]] echo. Echo d = Drive letter A .. Z [without :] echo Lemez jele A .. Z [: ne legyen] echo new = Replace string to change occurrences of search string. – echo Új jelsorozat kicserélni a kereső jelsorozat előfordulásait. Echo old = Search string to rename; beginning with "OLD" are used. – echo Kereső jelsorozat átnevezni az "OLD" kezdetűeket. Echo opt = Same but opposite, lower- or uppercase string to replace. – echo Ellenkezőleg írt nagy- vagy kisbetűs szöveg kicserélni. Echo mix = Same but mixed case string to replace further. – echo Vegyesen írt, további szöveg kicserélni. Echo. Echo It calls DIR! command, then REN! utility. – echo A DIR! parancsot, majd a REN! segédprogramot hívja. Goto X :R if exist REN$.BAT del REN$.BAT @echo on call DIR! %1 %3*.* @echo on @ if %4.==. Goto S @ if %5.==. Goto B REN! %3,%4,%5 %2 @goto X :B REN! %3,%4 %2 @goto X :S REN! %3 %2 :X @echo off echo. :

······························································································· DIR!.BAT The next page contains this text. –

······························································································· -4-

@echo off    REM     To write pathnames of parameter 2 into REN$.BAT file    REM     for REN! utility    REM     ­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­ @.Kos (R)    REM     REN$.BAT állományba írni a 2. paraméter elérési útjait    REM     a REN! segédprogram számára  : ­­­                                                             2007.MAJ     if not %3.==. Goto U     if     %2.==. Goto U    for %%! In (A a) do if %%!==%1 set #=A    for %%! In (B b) do if %%!==%1 set #=B    for %%! In (C c) do if %%!==%1 set #=C    for %%! In (D d) do if %%!==%1 set #=D    for %%! In (E e) do if %%!==%1 set #=E    for %%! In (F f) do if %%!==%1 set #=F    for %%! In (G g) do if %%!==%1 set #=G    for %%! In (H h) do if %%!==%1 set #=H    for %%! In (I i) do if %%!==%1 set #=I    for %%! In (J j) do if %%!==%1 set #=J    for %%! In (K k) do if %%!==%1 set #=K    for %%! In (L l) do if %%!==%1 set #=L    for %%! In (M m) do if %%!==%1 set #=M    for %%! In (N n) do if %%!==%1 set #=N    for %%! In (O o) do if %%!==%1 set #=O    for %%! In (P p) do if %%!==%1 set #=P    for %%! In (Q q) do if %%!==%1 set #=Q    for %%! In (R r) do if %%!==%1 set #=R    for %%! In (S s) do if %%!==%1 set #=S    for %%! In (T t) do if %%!==%1 set #=T    for %%! In (U u) do if %%!==%1 set #=U    for %%! In (V v) do if %%!==%1 set #=V    for %%! In (W w) do if %%!==%1 set #=W    for %%! In (X x) do if %%!==%1 set #=X    for %%! In (Y y) do if %%!==%1 set #=Y    for %%! In (Z z) do if %%!==%1 set #=Z     if not %#%.==.  Goto V   echo Drive letter missing or invalid / Lemez­jel nincs, vagy nem A .. Z   echo (do not write colon – ne irjunk : jelet) !   goto X  :V   echo Looking Drive %#% / Keresi %#% lemezt     if exist %#%:\*.*   goto R   echo !   > %#%:\!.$$$     if exist %#%:\!.$$$ goto R   echo Drive %#% not ready / Nincs %#% lemez   goto X  :U   echo.   Echo Usage / Használat   echo.   Echo %0  d  file   echo.   Echo     d = Drive letter A .. Z  [without :]   echo         Lemez jele A .. Z  [: ne legyen]   echo  file = Pattern of names  (may be ?.* don't use backslash)   echo         Nevek sablonja  (?.* lehet, \ tilos)   echo.   Echo  It writes pathnames of 'file' into REN$.BAT for REN! utility   echo  REN$.BAT –ba írja 'file' elérési útjait a REN! segédprogramnak   echo.   Goto X  :R     if exist %#%:\!.$$$ del %#%:\!.$$$   echo Scanning Drive %#% for %2 file(s)... / Felkutatja %#% lemez %2 neveit...    dir/a­d/b/s %#%:\%2 > REN$.BAT   echo done. / kész.     If %OS%.==. Goto W   copy nul !.$$$ >nul   fc/b !.$$$ REN$.BAT >nul     if errorlevel 1 set #=$    del !.$$$   goto M  :W   copy REN$.BAT !.$$$ >nul     if exist    !.$$$  set #=$     if exist    !.$$$  del !.$$$  :M     if not %#%==$ goto X   echo You may write: REN! from to / Beírhatja: REN! mit mire  :X    set #=  :

-5-

······························································································· Pasted text ends on previous page. – To make your batch files, copy their text between dotted lines and save them according to their names as you see. Then you can edit them if you want to delete their Hungarian or English lines, for instance.

Appendix Source text of REN!.PRG renG – Renaming Generator / Átnevező generátor Published by KOSTYÁN Ákos Antal Support To Rename Very Many Files / Tömeges átnevezés támogatása Categories: Types, Instruction manuals ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­    * Program REN! = Renaming File Groups / @.Kos – 2007.MAR  * Modify: Simplify algorythme                 ­ 2007.APR  *         Minor editorial changes             ­ 2007.MAJ  *­  para OLD,NEW  publ BY  priv SP[3]  _C = "= Renaming File Groups / @.Kos (R) MMVII "  M  = procfile()  ??   M,_C  if   pcou()#2       do   HLP  else       if   "/"$ OLD­NEW.or."?"$ OLD­NEW            do   HLP       endi  endi  if   BY       canc  endi  if   .not.file("REN$.BAT")       ?    "* Error: pathname file REN$.BAT not prepared!"       ?    "   Hiba: az út­kivonat REN$.BAT nincs előkészítve "       canc  endi  W  = OLD  P  = at(",",W)  if   P  > 0       SP[1] = left(W,P­1)       W  = subs(W,P+1)       P  = at(",",W)       if   P  > 0            SP[2] = left(W,P­1)            SP[3] = subs(W,P+1)            PN = 3            if   ","$ SP[3]                 ?    "* Param in error: "+SP[3]+" too many comma!"                 ?    "   Paraméterhiba: "+SP[3]+" túl sok vessző "                 canc            endi       else            SP[2] = W            PN = 2       endi  else       SP[1] = W 

-6-

     PN = 1  endi  for  I  = 1 to PN       if   [] = SP[I]            ?    "* Param in error: "+OLD+" nullstring rejected!"            ?    "   Paraméterhiba: "+OLD+" üres füzér nem lehet "            canc       endi  next  OV = gete("OS")  &&  OS Version  if   []#OV       OV = iif("Windows"$ OV,"NT",[])  &&  New Technology, e.g. XP either  else       OV = iif([]=gete("winbootdir"),OV,"9X")  &&  '95 / '98 or [] if DOS  endi  do   DEF  with 1  use  $$$$.DBU  NL = chr(13)+chr(10)  *    appe from REN$.BAT sdf  do   LDR  &&  Tucky... doesn't work for type Memo  *    run  (CM)  9X or native DOS only !!!  ­ 2007.APR.30  if   BY       ?    "* * * Abort: 32 K Buffer exhausted "       ?    "Rendellenes: szövegsor hosszabb, mint 32 K "       do   EOJ  endi  KL = 1  go   top  do   whil.not.eof()       W  = subs(PATH,rat("\",PATH)+1)       Q  = rat(".",W)       W  = iif(0PATH,rat("\",INP­>PATH)+1)       Q  = rat(".",W)       W  = iif(0(recn())       repl KEY  with W       @ row(),14 say ltri(str(recn()))       sele INP       skip  endd  sele ORD  ?? " keys; Sorting... " 

-7-

copy to   $$$$.$$$  use  $$$$.$$$  ??   ltri(str(recc()))  ?? " done."  Set  rela to  REL  into INP  eras $$$$.DBF  eras $$$$.NTX  K  = 0  ?  " Writing sorted... 0 "  set  prin to REN$.BAT  set  cons off  set  prin on  go   top  do   whil.not.eof()       W  = trim(KEY)       IP = trim(INP­>PATH)       for  I  = 1 to PN            if   W  = SP[I]                 W  = stuff(W,1,len(SP[I]),NEW)                 exit            endi       next       if   .not.W==trim(KEY)            IP = strtran(IP,"%","%%")            W  = strtran( W,"%","%%")            stor []   to   PQ,KQ            if   []#OV                 do   case                      case OV = "9X"                           SC = " ="                      case OV = "NT"                           SC = " =^&"                 endc                 PQ = iif(qtd(IP),["],[])                 KQ = iif(qtd( W),["],[])            endi            ??   "ren "+PQ+IP+PQ+"  "+KQ+W+".*"+KQ            ?            K  = K+1            @row(),19 say  ltri(str(K))       endi       skip  endd  set  prin off  set  cons on  set  prin to  ?? " lines, done."  Set  curs on  clos all  eras $$$$.$$$  eras $$$$.DBT  eras $$$$.DBU  if   K  > 0       ?    " – You will type REN$ command for renaming."       ?    "    Írja be a REN$ parancsot az átnevezéshez "  else       ?    "­ Warning: nothing has to be renamed, REN$.BAT has been empty!"       ?    " Figyelem: nincs semmi átnevezendő, a REN$.BAT üres lett "  endi  quit  *­  proc DEF  para ST  if   ST = 1       crea $$$$.$$$       use  $$$$.$$$ 

-8-

     appe blan       repl FIELD_NAME with "PATH" ,;            FIELD_TYPE with "M"       use       crea $$$$.DBU   from $$$$.$$$       eras $$$$.$$$  else       crea $$$$.$$$       use  $$$$.$$$       appe blan       repl FIELD_NAME with "REL"  ,;            FIELD_TYPE with "N"    ,;            FIELD_LEN  with 5       appe blan       repl FIELD_NAME with "KEY"  ,;            FIELD_TYPE with "C"    ,;            FIELD_LEN  with KL       use       crea $$$$ from $$$$.$$$       eras $$$$.$$$       use  $$$$       inde on KEY to $$$$       use  endi  retu  *­  proc LDR  FH = fopen("REN$.BAT")  if   FH<1       ?    "* Sorry: unrecoverable I/O error, call the Author"       ?    " Sajnos: ismeretlen KI/BE hiba, hívja a Szerzőt "       do   EOJ  endi  do   whil .T.       IN = readline(FH)       do   case            case len(IN)<2                 exit            case right(IN,2)#NL                 BY = .T.                 exit       endc       appe blan       W  = left(IN,len(IN)­2)       if   lowe(left(W,3))="ren".or.subs(W,2,2)#":\"            ?    "* Error: pathname file REN$.BAT invalid at line",;                           ltri(str(recn()))            ?    "   Hiba: az út­kivonat REN$.BAT",ltri(str(recn()))+;                           ". sora érvénytelen "            do   EOJ       endi       repl PATH with W  endd  fclose(FH)  if   recc()=0.and..not.BY       ?    "* Error: pathname file REN$.BAT empty!"       ?    "   Hiba: az út­kivonat REN$.BAT üres "       do   EOJ  endi  retu  *­  proc EOJ                    &&  Cleaning...  clos all  if   file("$$$$.$$$")       eras  $$$$.$$$  endi 

-9-

if   file("$$$$.DBT")       eras  $$$$.DBT       eras  $$$$.DBU  endi  if   file("$$$$.DBF")       eras  $$$$.DBF       eras  $$$$.NTX  endi  canc                        &&  Abort.  *­  proc HLP  text                                     ­ Usage:  => &M  old[,other[,mixed]]  new      old = Search string for renaming; beginning with "OLD" are used.          Kereső jelsorozat az átnevezéshez; az "OLD" kezdetűeket használja.      New = Replace string which substitutes the occurrences of search string.          Új jelsorozat, amely lecseréli a kereső jelsorozat előfordulásait.    Other = String in opposite style, lower­ or uppercase letters to be replaced.          Ellenkező írásmódú lecserélendő szöveg, nagy­ vagy kisbetűs alak.    Mixed = String with lower­ and uppercase letters for further replacing.          Nagy­ és kisbetűkkel vegyesen írt, további lecserélendő szöveg.      You should prepare pathnames into REN$.BAT file by DIR/B/S command or use  RENG, DIR! [.bat] procedures to facilitate this; then run the REN$ command  which will have been modified to rename the files. –    Az útneveket elő kell készíteni a REN$.BAT állományba a DIR/B/S paranccsal  vagy ezt megkönnyítendő a RENG, DIR! [.bat] eljárásokkal; majd a módosult  REN$ parancs futtatása nevezi át az állományokat. –    endt  BY = .T.  retu  *­  func QTD                    &&  Is to be Quoted  para F  priv C,Q, U  U  = SC                     &&  Special Characters  do   whil []#U       C  = left(U,1)       U  = subs(U,2)       Q  = C $ F       if   Q            exit       endi  endd  note      Unfortunately they are not the same between 9x and NT  retu Q  * 

English Readers please, skip Hungarian text below and go to the section „How to install”.

Inquiry to the Author / Szerző elérhetősége [email protected] Az eredeti magyar kiadás / The original Hungarian edition

- 10 -

Tömeges átnevezés támogatása a Microsoft működtető rendszereihez írta és programozta Kostyán Ákos – 2007

A feladat A számítógépen tárolt tárgyak (objektumok) elnevezésekor egyedi neveket kell használni, különben előfordulhat, hogy az egyező név miatt a különböző tárgyak összekeverednek, sőt az egyik tárgy még meg is semmisítheti a másikat. Hiába tárolhatunk különböző mappákban (folder) vagy címtárakban (directory) azonos állományneveket (filename), a tárgyak mappák közti másolása vagy áthelyezése ütközést eredményezhet, visszakeresése pedig nem ad egyértelmű eredményt, ha adott névhez több állomány (file) is tartozhat. Különösen azok az eszközök okozhatnak bonyodalmat, amelyek sorszám képzésével biztosítanak egyedi neveket, mint például a digitális fényképezőgépek, ha túl kevés számjegyet használnak. Szerző készüléke ugyanis 4 jegyű sorszámot ad a felvételeknek: ha töröl belőlük, a törölt képek sorszáma elvész akkor is, ha mindig csak a legutolsó képet törli. Tízezer sorszám így is elég hosszú ideig tartana, csakhogy garanciális javítás esetén a szerviz cserével teljesíti kötelezettségét, mert akkor nincs kifizetetlen munkadíja; az új gép pedig természetesen ki fogja adni a már elhasznált sorszámokat, megteremtve ezzel a nevek ütközését. Ennek kiküszöbölését végzi el ez a termékcsomag, amely egy segédprogramból és két parancseljárásból áll, azonban általánosan alkalmas bármely hasonló föladat megoldására, ahol az állománynevek egyforma, csoportképzésre szolgáló karakterekkel kezdődnek. A példánál maradva, az első átfordulás után a régi felvételek XXYY9999-ig terjedő névtartományát át kell nevezni XX01 kezdetűre, a második után XX02-re és így tovább (az XX00 való a garanciális csere miatti átnevezésre). Evvel a módszerrel biztosítható, hogy a felvételek a nevük alapján mindig keletkezési sorrendbe legyenek állíthatók.

A megoldás A képek témákon belül a felvétel keltjének megfelelő nevű mappák szerkezetében fekszenek szerteszét a merevlemezen és már a fényképezőgép cseréjekor is hatszáznál több volt belőlük, ezért a kézi erővel történő átnevezés nem jöhetett szóba; helyette a működtető rendszer DIR parancsával a régi neveket kigyűjtjük egy állományba, amelyet egy különleges szövegfeldolgozó programmal átalakítunk, hogy utána ez parancsként lefuttatva elvégezze a kívánt átnevezéseket.

Végrehajtás Parancsfogadó ablakban gépeljük be a REName Generator (átnevezést generáló) parancsot az alábbiak szerint: => RENG d mire mit [MIT [Mit]] ahol

d mire mit MIT, Mit

= = = =

a lemezegység jele (nagy- vagy kisbetűvel, de kettőspont nélkül) az új csoportképző karaktersorozat a régi kiválasztó karaktersorozat ugyanez más írásmóddal, ha a különböző írásmódú alakokat mind át akarjuk nevezni.

A futás végén vizuálisan ellenőrizhetjük a generált REN$.BAT állományt, majd gépeljük be a => REN$ parancsot.

- 11 -

Példa Az első átfordulás után a tömeges átnevezést az alábbiak szerint végezzük el: => => => =>

reng e HP01 HPIM ren$ reng C HP01 HPIM ren$

Egyes gépeken D az adatlemez (nem E), valamint szükségtelen a C lemez földolgozása, ha ott nem tároljuk a fényképeinket. A második átfordulás után „mire” HP02 lesz, és így tovább. „Mit” mindig HPIM legyen.

Az eljárások A RENG parancs először a DIR! parancsot, majd a REN! programot futtatja önműködően. A fentiekben megismertük a RENG.BAT eljárást, most tekintsük a DIR!.BAT eljárás független használatát: => DIR! d állománycsoport ahol d = a lemezegység jele (nagy- vagy kisbetűvel, de kettőspont nélkül) állománycsoport = a kigyűjtendő nevek sablonja: út is lehet a kezdő \ kivételével Más föladatokhoz „állománycsoport” a rendszer által megengedett minden kombináció lehet, a hp kamera fényképeihez HPIM*.* legyen; ez biztosítja a .jpg .wav .avi .mpg típusok mindegyikének megtartását a nevek lecserélése mellett. A kigyűjtött elérési utak a REN$.BAT állományba íródnak.

A REN! segédprogram Munkatáblába tölti REN$.BAT szövegét, kulcsot képez a nevekből (filenames), emelkedő sorrendbe állítja a táblát, átalakítja a kulcsokat az átnevezéshez, törli a változatlanul maradó kulcsok sorait, megírja a tábla soraiból az átnevező parancsokat, amelyekkel fölülírja a REN$.BAT állományt; ennek vizuális áttekintésével észrevehetjük, ha valamely név több helyen is szerepel (ami természetesen nem kívánatos, de megengedett). Az állomány névsor szerint rendezett. A program törli a munkatáblát, de rendellenes megszakítás esetén szemetet hagyhat maga után: $$$$.* (.$$$, .dbf, .dbt, .dbu, .ntx) törölhető kézzel.

A segédprogram hívása => REN! mit[,MIT[,Mit]] mire mit = régi jelsorozat (háromféle írásmóddal is lehetséges) mire = új jelsorozat A „mit” régi jelsorozat a név (filename) balszélső karakterétől kezdve egyezhet meg, belső előfordulása figyelmen kívül marad; találat esetén cserélődik a „mire” jelsorozatra. A ren$ parancs természeténél fogva csak egyszer működik; ha szükséges, dokumentációs célra átnevezhető és .txt típusúra változtatható, különben az aktuális címtárban a dir! (vagy reng) parancs legközelebb fölülírja.

- 12 -

Működtető rendszerek Ennek a támogató termékcsomagnak minden tagja figyelembe veszi a használatban lévő rendszerek (MS-DOS; Windows: 95, NT/XP) működése közötti különbségeket, ezért bármelyikben alkalmazhatók. Jelen leírás kereteit meghaladná a különbségek részletes ismertetése; a felhasználónak pedig amúgy is tisztában kell lennie rendszerének tulajdonságaival. A lényeg az állománynevek megengedett hossza és jelkészlete az adott működtető rendszerben, továbbá az a körülmény, hogy ezek egyazon rendszeren belül változatlanok, vagy pedig kettős természetűek: ugyanis a Microsoft a Windows rendszerében a parancsok feldolgozására eleinte integrált megoldást alkalmazott, majd ennek egyre bonyolultabbá válása miatt végül elkülönítette egymástól parancsértelmezőit (Command.COM – CMD.exe), bevezetve ezzel az emulált és a natív üzemmódot; az előbbi a hagyományos DOS-felületet mutatja Windows esetén is. Az eltérések a kisbetűk, a hosszú nevek és a különleges jelek alkalmazásában mutatkoznak, beleértve az elérési útnak (path) az ismert esetekben szükséges idézőjel (") használattal történő megadását is.

Megjegyzések Ügyeljünk a dir rendszerparancs visszakereső (/S) működésére: például a dir/s buda* parancs argumentumának Buda vagy BUDA alakja is ugyanazt eredményezi! A listában pedig megjelenik BUDA, budai, Budapest, stb. de Óbuda nem. („Ami úgy kezdődik, hogy buda, a kis- vagy nagybetűs alaktól függetlenül”.) A ren! program viszont az argumentum kis- vagy nagybetűit nem veszi azonosnak! (Ezért lehet legfeljebb 3-félét megadni, hogy „egy kalap alá” vegye őket.) Például a ren! buda,BUDA pest eredményeként BUDA → pest budai → pesti lesz, Budapest pedig kiesik. Továbbá a generált ren$ végrehajtásakor az átnevező parancsokban szereplő új nevek kisbetűiből a rendszertől függően nagybetűk lehetnek (DOS vagy emulált üzemmód; csak a Windows natív üzemmódja tartja meg a kisbetűket).

Üzenetek A magyar nyelvű hibaüzenetek világosak, a használatról pedig emlékeztető segítséget kapunk, ha a parancsok tényezőinek száma több vagy kevesebb az előírtnál, valamint ha bármelyik tényezőben akár ? (kérdőjel), akár / (dőltvonal) van, illetve ha alakilag vagy tartalmilag érvénytelen. A RENG nem is ad egyéb üzenetet, csak a DIR! eljárás és a REN! program; az utóbbi még pörgő számokkal is tájékoztat a futás közben, illetve a végén: Preparing... # keys; Sorting... # done. Writing sorted... # lines, done. vagyis Előkészület... # kulcshoz; rendezés... # kész. Rendezett... # sor írása, kész.

* * * Az Olvasóhoz E bővített kiadás az angol fordításban a 2 parancsköteget meg a forrásprogramot is közli a föntiekben és csatolja a Base64 kódolású DIR!.EXE parancsot, ami bemásolás – mentés másként után valamelyik ingyen letölthető programmal visszakódolható, így saját gépre „telepíthető” hasznos segédeszköz lehet. Az utolsó angol szakaszt követő új laptól a kiadvány legvégéig tart a kódolt .EXE-szöveg, azt már ne nyomtassa. - 13 -

How to install this free product 1. Browse the World-Wide-Web for a free Base64 decoder and download it, or send a request by e-mail to the Author if you can save and rename one attachment of the reply, since .EXE file cannot be attached so you can receive it as .JPG camouflage; do not try to view that, it is not a picture but the converter which you have requested. Rename it to B64DE.EXE and do it later as an usual command: => b64de

your.txt

REN!.EXE

2. With Windows Notepad application create the new empty RENG.BAT file and paste the text, which you copied from this document previously, into it and save your batch command. Do this once more, but for your DIR!.BAT file. Be cautious with corresponding text of batch files; you can find them above, between dotted lines in this document. 3. Similarly, create YOUR.TXT (you may name it anyhow) and select all the text from next page to the end of this document, copy it then paste into YOUR.TXT and save. Convert it to REN!.EXE as you have seen above. 4. Move the RENG.BAT and DIR!.BAT and REN!.EXE files which have been created by you with above mentioned method into a directory (folder) which is accessible for commands, that is your environment variable PATH contains its name.

Attachment of .EXE as encoded text by Base64 method Skip to next page, select all lines downward to end of document (Shift + Ctrl + End), choose Copy from the menu Edit (this places the selected text onto the Clipboard); open your empty text with Notepad and choose Paste from the menu Edit, then save it for input of the Base64 decoder. [Print only first 14 pages!]

Magyarul: Ugorjék a következő lapra, jelölje ki az összes sort a dokumentum végéig (Shift + Ctrl + End), válassza a Szerkeszt menü Másol pontját (ez a Vágólapra teszi a kijelölt szöveget); nyissa meg saját üres szövegét a Jegyzettömb alkalmazással és válassza a Szerkeszt menü Másol pontját, majd mentse el a Base64 dekóder bemenete számára. [Csak az első 14 lapot nyomtassa ki!]

- 14 -

TVqgAakAAAAHAEQU//8bFQAEAAAAAfD/UAAAAAMhUGlrUGFrIENvcHIuIDIwMDAgUEtXQVJFIElu  Yy4gQWxsIFJpZ2h0cyBSZXNlcnZlZABzAEMBAAAgAC8B//9PKYAAAAAQAOYmHgAAAAEAAAAAALhX  KboTFYzbA9g7HgIAcx2D6yD6jtO8AAL7g+sljsNTuSMBM/9XvkgB/POly7QJujYBzSHNIE5vdCBl  bm91Z2ggbWVtb3J5JP2M21ODwzkD2r7+/4v+jM2LxSvqi8qA/RByA7kAECvR0eHR4dHhgOwQgO8Q  jsCO2/OlhdJ13vyO3QcGvwABM/atlboQAOs4kK2VshDrQa2VshDrQq2VshDrSK2VshDrTa2VshDr  U62VshDrZ62VshDraK2VshDraa2VshByCKTR7Up09HP4M8kz29HtSnS50dPR7Up0uNHTgPsCcyjR  7Up0stHThdt0GNHtSnSt0dOA+wVyDNHtSnSn0dOA+wx3fC6KnwgCh9kz24P5AnQq0e1KdJNyI9Ht  SnSS0dPR7Up0kdHT0e1KdQStlbIQ0dOA+wJzFi6Kvy4CrIrYVov3K/P68yak+17pdv/R7Up1BK2V  shDR04D7CHLa0e1KdQStlbIQ0dOA+xdyytHtSnUErZWyENHTgePfAIbf67yA4wPR7Up1BK2VshDR  04D7BXIQ0e1KdQStlbIQ0dOA+wx3RS6KjxMCgPkZdAPpW/+sAsiA1QA8/nMD6U7/UI2dAOCD5w+B  xwAgsQTT64zAA8OOwIzYi96D5g/T6wPDjthYPP90Kenb/oDjA9HtSnUErZWyENHTgPsFcgvR7Up1  BK2VshDR0y6Kjx4C6f3+W4vrg8MQM8CskeMPrQPDjsCQrZcmAR3i+evrrQPD+o7QrYvg+60D2FOt  UI7Fjt0zwIvYi8iL0Ivoi/CL+MsEAAUGBwAAAAAACAkKCwwZAAAAAAANDg8QERIAAAAAABMUFRYX  GAECAAADBAUGAAAAAAAAAAAHCAkKCwwNAAAAAOBVi+wz27gAAFBTuEAkAYAFHQAOUJoEAKEfi+Vd  y2QBbBgRAgDYAwCD2AcDMwQXldgFAJkPJxgAAJcpPSBSZW5hbWluZyBGaWwAwGUgR3JvdXBzIC8g  QC5LbwAYCChSKSBNTVZJSSBBBgyYAInJM9gIAEbYBwueMQwEjp4TjIWZVXVYIhgKABsJACxZI1UB  zJgvAJ4VnmJvVAw/OqoMgVgHxgAmnoVYAZ+XCFJFTiQAAC5CQVQAQXlYagCNly0qIEUD/HKDcjog  cGF0aJnEKpJmlyggjI1ub3QbcmUeBGQhjcF+MjIgAUhpYmEAmDJheiCjdC1raXZvOHTWGTLcY8ll  AJtsi2uCc3qhdHZNN6E3s5TYtImfLJzhBwgK2AvRBO9PWPHx9hALgG/J3igjDOwFDAeJ6bcVhtY2  q74eNtoTGDjsyXMRBdgNS3hDE51UWGn6s9kS+lDV8SCvMtStAwEAIoaXECB0b28gbWFueSBjNu9v  bQj7hvwSUyb8NYJ0M2hBdwU0wMyjbCBzb2sg9HP7i4ZYHDShWRKr/UifBY5ZDvniFeqAETZEBRIW  BgA5Cc8AAwTRnhZPWQEAaVqINnwAlwArnhVlCfo4tX4Yu2GCFYBAIG51bGxzdHJfIKByZWplY3S2  /ym7NBYGmCCBKnMgZoF6gnI/ZYEcVWxlaGV0vG//YByXAk9TAMmI2BAcZmQPSIyeHBkHdVh2B1dm  ZEQMb3dzEVRYCBECTkifVABZA68qWSqIAQqXCncmYm9vdGSqE2lySMUGeVI0WQUzOVgtEXiAGxEA  LJcIJAHYzC5EQlUPPSIDpoAhvpkNABKZCgSG2BITGRETHRDQXwojKiCNAQJBYnJ00TMyIEsgGOBC  dWZm4iBleGhhdXMFOv8gtSvBZnVkZWzb4XOA4ShzepR2ZWdzNCBobwBOqWFiYiwg5IuSdEEwhgFl  FGWA2BVxTjk3eVhzIuGwFmdcBloHcRfFjQKbLkrGyxXYGBLvnkjwBWlY9jUeCqEC/hnzM5lXB2OA  InW/KZOafsxJPrZzdCKJhZwYjlpsm2XwGgCOpdNqyRNST340cWQclxwue3KgCjEbboKg74CAb22g  bnlugnbOkmjVnhWIY9IIgAgI44DMWRwLGf8fm/BIhcYYmxAgUORo9kouHCABIDAX77iXBGACnyUZ  SuabDX2mDE5boBu6GkAAujuChoEAli64BpYU2BYACJ2AakUMBx4oSkkmZBiiAKUmZQ4bAIgVHIED  B6+ZDgCLEX/vibEfuNx4/yeAggFrZXlzOyBTYzkr1dNDGSTyI/wAvLERziEj+7oVrQs9EBgGDSB4  9f+mAK29Dh8eKkYHoF6ZwHiXBiBkb25lwowTdkANlwNSRUwAy1BFE0YALQM7TlRYxJwO79gdwI0g  BrFXcmmPHCu8rWgxa6lAQsrGFwDHSwCITJlkAZ7i3PtgOkQNHlShBD4whYppPh6qzg+AEGOZwyfJ  BB8fcB8QVFlZu//wZm5lMW7xw4kJMJcBJaclOfMFyUkgEvYpHsIuURcKHKCh2CEAitgighInbBFZ  MBOZDeyCDGdeCSA9KSNwGH6aGDcaxBgEGF4mAOcbD7R5jSRZ86nEbCKotFghfZ8RG3YEck5PZW7X  X/zyQYYIbaNN/Z4dBAokhw4uKg6MjZ4d8wAnhvCBr5kTAIsORwAzL5b+xksAxxcASIR/ypcNe3Ms  Cozcx7F/uQMt+MEYbAAI20RCXcVUDlUOP3dZsGYyAFJHLS0gWW91IHdAFmlsbCB0eXAyh2ZgbmQg  ZlNFkHL8CxxtJwCc7CDWcmphIGKFXGXvMC6mcixjc1xglX6gdMCOl3ZleoJzaAW82TVZgWY+Nlck  KSECZzoIDLxoXEpMVHRvRtFNYGVkLHfAcBk3ZW1wkuCU4jkiTJpneWVsEjqhtktzC5bqGW9Kiy2a  LH/5CEAudHSB2Ok0AAGRDgggMDjCJQCDngSAOFiI0RdbCumfiMAMcQaXBFB3SBEmAJjZiJcBTQgn  CB8tiT6z+5/WMEQkCV2Avpce6F2qWcBMJBiI6Jcyh06HmQUHe5QoBxpLRVnSsxpDGnjYmRoKqFm/  VytWpIHNS4NoFqYDex8LAA0tGoBgxIlNKsEpk51bBDsSmXJGMSoMAChyeTogdW5yZWNvcBl2ZXJh  YhdJL1mET3IsIGNhQGPGaBRBdQs0BhE5MDW4gGFqbm9iaXNtcc4nZXTEIEsQ4jRCRSBycBw0aKF2  zgJTQyN6HnqLdICPazndWAkBf16mjSyNK5hzji0AngpjmheZaTNZ5wMcGPwRqnw4Cx1GnhLFlWQI  AN1k4cswyAAGHTFazhjCpXGiEicRaJcDRBEFADgVAgPXlwyvAjpcR4FYfvgvo2AHD2ludvQS+Glk  dJSXHwYVLEijE8IAo/+CcnaCbnkCWnRlH4JgmgpQwNOIWfL+CS7gIq6HXu847Hm8zgVYXJ4mB56G  6MQlKIkHptRQtYBj2TkBwT4HQAw6B0FYDgBsOgAWHRysJQQldO0qK0vIObTzYQegkk7yIAkBgAAt  IFVzYWdlOjFg4B89PiAmTRRvbGRbLIwBOGVyB21peGVkBl5dXRVuZXcA5yUAlAIqQiUgPSBTZVCU  YXJjaCBvNnO/O2bBU2cIzgaG7k0gIk+4hkxEIiBEIHVzC1HmR0rVCYZLKnNwRIsgamVsHW96YW8m  2zvmBhFCaw5kZXQmGPtlCHS6epAqbqBsamFPAF/oVKsgQBVkcGxhY2Wcd2iRjWmpdWIQjnV0QxD6  ufAbb2NjdXKzKBBvZ61m5d1pz6Ppaj0zn/xtDWcGefJjM3KCbCd6adFrv+7EAACsEmR1bKBzYXQp  QaNNXEB+PpsVLMNvcHBvcyTaMK55VV9sb3cim80tFyZ1GgpjJL7oZV8LhqfHGVTfSUmFcqZF4BiD  IoihcnZtomSjevCktKIM92BuYebHZ3lfdga4aXOYaU90+1hhUGtK0KVH+kxQpcSG0JerZwCY/mbS  vHVy3J4CVUVHnylVTneCc3Vz3WurbCqF+WpIbrPDQFnedqBiYmnfm7ckkZ1LIEZzaB2LBYe+ppy7  qhJfyW8hiegaoCFi6kRJUi9CL1MWA26W4F5k5olgLEcsISEgWy5i3kFIXVVvXnXQ9yNMZtguzWxp  dBlJXvlQQ+YhYbFydW5GW4zEMiZPNG2R6+VoYZMI/l5tb2Q7fGmLVFAW04U9CNGecy4gLTlMBA3Y  QawMPPngHj9CWEYbpkg1aS1Wdarg3mLVLFDdQcIeY3NhbBkEbONlekuweG5na5RuLUZIe1JHjiPz  aWqgNm/memtrPTv5ZwNq5AeiZG9zRG11bHROM+nggOx0cJQR3CBISKiJlB23W3mWRx3XyLy0oM06  Y5KbCyAvcG08MACPCsZGBDEEniMTB4k5KENbCHVYMVTxB4Dn+XMpiQ/P0ZXWJZ5yCe0/VEUaSTpY  A+HlhsT/DLCt+oeAct7FgHVGDQAJMLC1yQPsj02uu48IFWwueomXIKQDQlVGAN4JuQK2FLMgAJsl  AgpY4ECqjDAcnCecBAkVtelPBwAkIQ+eBQJMN/vfBAb372lYAIo/AK+Ahu+LlysqXrfvVQhZm25w  dXRwliAgJAzj+4F/sTDCMPURACjgcwQhJXhN1wbUYACD7CRWK8DKcgE8H4PEAsMYPR59Bbh46wIV  ieDrRt4LwHUzDpCSH6gBdCMQSAIOUhAj8olW9BJV2IAS+OsFxzrg9RODft4APgLUbj4CPubSuj7o  Ej7sdu0+Q5iemgMAfE4D2k1OA07uTvBaFxJO9sm1TvYATjsbWk4ETiu4BJGqTgJ0GxD8Mjg84j2G  G8D32ET6B0biASrqRgVGBaldRgVG/nc5Rv6MdDAiE7iuMB4nvgQnBIFmXkSQGfhmAF8YBuwfCLiw  MIza68xgB5CL1YvVUuvUkDYzPOA8D/hJ3AZgBvY5Rux0ahPqE+tb/2YGduwD6APmGOoDRmMw8jD0  Ulr0AHYcWgc2CsE4/zoaw8biMuByLV2BdAWwAQ7+6wMFFk7gK07iGKk7wXYVDewpWAFoMAbsBurr  BJA4P4zqcDjqcp0I3EBBClSmB1sF1fqJVulE/H0F5AVxYODWNnQD6QABImUJ9gn3ADwEAAvEXuYm  igeLXurEdvIOTSY4RJOpuDCTBpNydpOUFzXumsE15C3kOPomiADzH5HrqUYIaadJigAd648DmgYI  TvoDdUMIMzMrPfYD8APuFjMP5EP6Q/xDqgKEn0ADQx7kAfoeGZCfG4j3c/dvk2D/SNw5BgwI/AP6  mngC9wZICJrIkOgDWwXyiC6AKMKBgAEAPYwAHqJ1fJsAddyJVt7HDt5G2v0SiNpEmHnchfOIQuCH  2kHd3NoffR8XiFUAAcB0DzxhfNU8DIZ6f9EmLCDr1jZ22saZHy4Al96lWQEHOZ8lBFkLAeDCGtzr  BbiyCHqEUusEuLRhCqu4CscGAk5CAP6602DCdRCdbr91MEpPYnVd310UTSYCdN1NPe/8lv5PaUIR  Mk0EZvqRBlz6jRmHp5J0IHI5gAP+e5piAAIEOQUmBpqhlgKjfwpC9aOQuP+DBv9BcAU8HzrpipDS 

DAFU1Q7SBNL8u67SJJM2sqIUEPTjuDR5eFI5dBt2mjNzeaECcIjK1OsDkFXGc1RVcgxy9HeBcgP0  1NiGAHV2w3UfZkUXECB0Vpvu8TBGujml9k74pHWJVvoxIanc/CFmDzscxA9yVfTXkcmedCaX4YQ8  9ppO1OfgCPn/h+O891afLglCiKCqVg5W5fL7QeXHWk894kqouwk6wvRu4Pb8QDCq+hAgBhPk4dL4  kONIarZvdEYlqrb4qfR3GLaLXv7EGiajIsaXBlb5pLLkDzAypVUGeri2H6LUDt8f2ZX11Nwg3BAN  DL51NqL6A3rqdXgmaAE95Figb9RIqCES1OBRAlcCdQ2L0CjrC5CQAw3n6AIgJiAdUHQS1hDVU/zw  /PSnaAn8Avz0eur8ciZiAT3+UnWX/EL88tL1L3AD/HVvVxHvqCgc8PbwVUX2+vbympo1aPZn7kD5  UhfrBHeW9v82GOhXMFXQIwSf6Ay05uFGjHUT0wDP0f0TwACWMQULwH8T2jitANwTo5t9E5oAmR4H  9KD2uYc9XTgGTtEiE/IxARPUpOuSABuQbPBzGuB8i17wxHb07ZJoBvwo8J5UGvoact4a/BAnEVNS  hxIe7QYkYy8Goh8SuCIUEgwI30X+q/Qw5mLv3UMh2OquINj0h+gFIYPd5opECP4l0aQOqQjF4anO  9HYGwLOd6zr2/isOA44X/uskb0blDwNBi0FIUiWSaocDROCyC8B0Cf9ORzBKRHXWxW2mcKoSD+js  9gP67OOAPuzQoA/svehA7KoY7IJ+1iEB8en6HJN3BSv8Kkma7jIUgu72SDDl+QMpOu4t7nLgoF8S  /LomXg5Wa9ElcvboATog/d2gEA910RxA9KCPggPpkQDQHv0zAQjwLQUAG8n30SPBBbWLPifCAOvr  EsQvzvrO7k8c6xzyAlMV/hrw+IA4YXLaBnp31CYk1eY0ixNw/DgO6E0AF5hAcl11CR/QgusGkLjY  AMuG6Av1dB6LnkWWaEMpOQJSJghWolyZxF4GrwYMuUqdB+gBABJxQetxkHUk2B91ci7JmwY+ApH4  wyk4QP90TowMKuRQmE8Byhg7QCbMIZUGenYWiw9BIsAPWnYHXAQCvFRe+jEPDUsxS3YMilRgRxT8  AyyMiwpIOwd3iJxNvQR2KgYAHpgmC0pJjVCh6x+31G4XlIVCwSMdAhOORg59Rk1K/DkGctkQ5WoN  LPwJQzAaUwTqR3LtE7YthfrSCFeDIhP4JXB3HcaNrPnrVckg4lTRIRdgDje+PKOFwN84AQIAOvjg  dvyxAtPmDBCBxk6NdAL/NJpHBIQT1wQ7Cql/wz0D8uZsbAZypkHmMYhm1KDJXl+aBLyOgXXrCChH  Vvy7CXMYSI7ZdR4TVP56OIdEDOCdanvdXPzSrcgaVj/SMszgAZvSIs0Bm9IiugHNn+gTpwEufW6U  FzmUE2KoBrlYUYvwkigOA8ZYcd0kATtJeuIEk5ZNAO02C9J8D0m+EKQhbWmR13skAyQP1Z/wHqye  wrOHAq0aJLPoleqDfuYdGdjmSOBg0ubHRuyIGq4PEvC9Aom27MR2+EvotOhv7N81LBpy2l9o7ing  IrHyK0xUJeD0pjvgMGsx+Qx9V/gs8FjaDBcX0wzqi+kM2ofpDAaooAc/jUb6FlAtIs/rCJCNEhQ5  YcbzukSf4ACmmqQF3iDR4AA00dKK8orUiuAqwFIiIplVVldyAgwDtAK6r80XuwWA/JB1JqkDu1xT  /wxsXANfXioGuAA8QACOwCaLHmwAJjsFdAyg+SahBivDO8J89gfDRDJIBlC4QyO+h0YCXYFE1f4z  wEBQglIgLBxQB9rMqQIAWHQMsqhdWCn6E3AJKfpYM9Loa/8KAGyD+xRyJLC25kO6EgAGALjcNPfz  5kKKxATkYVAAjAwD5mGLVvroRP9YCesGCBkLOf+aHmKngdMLtfpCo1uRH1avkQGRD0cEh1gexTaA  U64AxgQAsgBQpg8AC890DgbEXvomiheA4gBgX4DqQAe0R80hH/82sACroAQq+jOiP496iwdQkjt4  jwVFZ0A7R1hI0gNXAv91bATwDCiCl6NqUx0ARwJHC5B19SQLKl1CCtnqlFEEJ/AC12rwkSqZ8Isf  rxiPiRZskwQzARSTFwYAAMQ+2ACKJuAA/PcGtAD//3U8AAeriRIHw1BTUovYutrOeQPsIPv6BgAA  dPuLw6v7WltY6965oAD34QB70eMDwwMG3ACjLi0AM1FSodIAix7UABO2BAODHuHo2f9aWS3DM9Kh  eYAhuzHz0eqL2sOKNjHGJ4oWJwI2JwIWAB4ntAK3AM0Qw6E5wClj2wYqxwYKARAAPyY7BroAcwuB  FD0GAP8GEMPo2gHr+gZWUbQOxr6wBzNZXqQNhMd2C8N0IAtLeQVgHg68AEijC4kW6GZVRP/fsCCr  MgAAOvVyFzrRchOA/RlzDYD5UBgYcwiA/goDgPpQ9RzuFhl0e1LL/zY16AAw0/9yYfwzwIvYisWK  2RQeAOgJ0CrRKvWKyjLtQYpSGN4yW4v3gcafujLA2AM+Ho4e2gUAm7Ah7lFXVvOlsAheX1mBxx8j  S3XtOfkfiPOrLOMDJynuj9/SuifNe1hpp3tQe47+pzx7Q0vW8YJ8dAVQtnx4WHlhd/r9c/NqWqnp  km7q/krp6cZuIP63TunuBemvE+/p7gvpii4wjrYAig64BDa6gIcLvAAC9QLRw3jm/+h7j0Z7C9sL  Wf9u4gvQC+QWEOCxU1L83YsLijesWDCAaYvRjgaMi8srDtQAQYsHlqs7ynMZK9F+0ZFLOXFzJ0CA  QehY/evYi8oBnyMoHTkfdq1SECMEI3hsNf1aW6Po5/wPqd4bJROBRCUQ/eLe69QwGM3NEbvqJTAA  PQN0MxwJC7gssgABPQR82gTeALQDFlDdW9ohoJXA/JoBCKMCpvURCStoLqPQAAcDD4teDKPc3MgL  y3U+1gSLUVkBACCKbgqKTgyKdg6KVhCLwQYAC8IjthiyT+gb/XJiKvV6iCrRkIiDg3aIdoiDgz+I  divHExh4GysaeBUEB2t3DztdSlp3CabrHrRNpaFNsAEFowIBAM/8i04O42DEdgpRJqw8IBDAcivo  rPs7iw4cYE05anYU6CK2gyMOYA1AMwQAQND7WeLR6yzA7ZA8CHQOPA0AABAKdBA8B3QR68PoLPzr  4+hgGPH7697o/AXZ6BAP1Abd6PIKz+jG+31CcjZyDhsCFlt56Df7iACscxB74u/rGOit+wYi6Lo4  9P8O2AAEOQ+0Fn4C6+jofvshdWD5HkiVZvwVNTX8wxZFTUZOMIomH6DUFwCgo9YAuQB2BCD3CeYO  uQwLh0D3//FAnbkHBrQBzRArodZ+wbcCIbGVCkOwmQ4BAFMShcB0FHkK99joWPxIQER1+usL6Gf7  CAPo3goAigZWUlFTUDPAisYy5wX25ODIjlhbWVq3JqwdAF8D/sfDTgrbAAB0C4D/CHPzJopE/+vt  sCDrBUjpPEYOzV71GQkQCfUQwNwHFXdgANkMCBB2A+lZAcS4BnYSM9vkAHQEiMf+w+v26U05giCj  vhP6i04QICBsSeiP/1AH/D1YdQRBQesRDgYEVCZYdAfop/kAg4robf8LyX67QvzoYz9gCrh8DztX  TZxw4ByEaqMjKw9JRv8KUjt1CEHoaxmAxLqeAOMNARbYQF386Ff54vMNF90ML3dKlhA6+UQc6AT/  lk4MKfIF7ARC3RvdBKnjgsDwQfvo4f6PVytkiBXoAXyEOcv+loXjELqixSM3Y6nohsPn+HDor/5P  dQMVIF4KSwvkA9t0LGQrI7qgAFVUUV/oZPurAFmiWUt14Ip2CgQH/saI7lYM/sLnCIjz6EL+IAjC  MtLQ9zBnwQCAdU8GEJhURoDKgAkICQhGJkJ1CREgxYMRAamACA0HAPfDiGcJg8sHOgF0pkQgwxN1  DwJ0BqIAZNCxBNLjCtMYBSQPCtBw4AChCo0SocoARSUPAMgKutkD7o+hpwK+IcAa9KWowqbVE8QT  WhPGG20TyBNH/8TM+QtGDAMOAxDMzAMSAxQDFgMYfbNiaKNWq24KoxmphaejwgzEVCoMxgzIlYIG  ygbMAOtRkJxATXQMZQknvmU7i43+WxQOQ/DS7EOLaejnFBJLBhQnjEsGFj/p1k8KGAq6WVNcDZOm  BNJo4pTAoSawIOiv+Y+pghC5Q4SSmuif/Fl6PDw7E0xFUEZTUODDK8hBUZrlAZBfWUl0B1HoWvdZ  6+/rTkLSRln8HV5F6Dv5xx8AEYHZ6NT26Pv2CCIe6HP3clZjHioBUVLr6KUAAPZYWSrl/sQqwf7A  isgy7YrUAsQy5HTFUwQeLfzmOAKL84HDhPOlWUh1YkvzH30A0GzD6Bf3cwPrW5CrTl9GA18edQbE  YB+L92OdmfsDY/Yly4AGysR+Cugi+08sI1v/hwUBESvyDR+gUysS6NT+ECsFCgBW/IvIi9CsPAF0  FTwAAAJ0FjwDdBs8BHQlPAV0MYswAMLrSZCtHevhrTvIdTmtNp7rOw4JfC0FdytJRQ4tDh8OIAUd  rQPB6x0QDzsMf4DxCyvIg8YCrSsUCZAPYAkD657DizbnANHmPE4CVlAQi7T7gRTU/6PjAFheDHj/  ALjDsv+0Bs0htAB09jw5B+MMBQAB6COexRu0Cw25iu0JSccG45AB9UNDOx7xAGjqcgIz2zpGCmA6  UOiK/y2AAD0H7pZld9730DNY+QaLHgawGYvz6Lz/QhV1nb9/AIkR0vMAJonIAAAH67CwHozKANeO  2rpoDbAjtCX1K2hq+ILpqwXAZIwG7wCJNu0tJuoOB+tFIBv3BusHFM8FxBcy5PYDUDtxsA3o8P6D  ywHDWrQdHRkf/B7ISj3/DhUmqffKJoumO8wbonQPpDaki6To3TWwGhbxpBrm/okW6I91iSGo8woK  LfUto/EAjCYzwKMjo/m86Ko0u/4Uo+snAheg8aAR6Jz+6FeZNe7ocwUCwaAp6wjoJwn56Gf+V8wq  GOhyKiicMxwFw3Tznxc54yPlADI0B+gTFfDoGy8cMfIHmYe6BZr2DIYyg2MaALBVHgacuIwkjtid  Bx9dF1CkBs8tDTGxmqcqYw2jSg8wk14KcQBcbwKwALREzSGB4oDThOtxJ8cGbQJ9SHN2/PYUQIsp  tx+4GbcjUR4ZxVYcAAq0QOpZcgj/RgreDuLrKaMxR1QyyRKQHvlvH3MGFhzHDHVTtEgaWjg72iAo  dQQz2+sERVA0aIvDWh1+Jls9SSNy19IpHz244WIKsQbT4M4i1buMSTuIwF7+dwkJciPrI5ArpLYO  Sw0WUgvIiwoHc0JQbvlQWAIL1waOWhAYALBntDUdJoA+CgBFdREmAACBPgsATU11CLRCzWcK5HQC  oAGzALAQ9uOLewxBF6AmxwVHJomgnV0CMsCGxN20Q2i6IAwbFQvlGlZycNAfbGcrPRq0RR8AFGGM  wLEM0+iMw7EEMADT4wPfFW0DXg4TRhCL07xHg+MPFOoe4AvCN2w3SkS+NovaHgPCJ+uOHRYPG9Sg  0+sDwwdIVg8ODibaO8N1DhcuUr3+AIwzELj//3IEdNQPAUBAOgMCzLYazSGLThIId9ZOzQeA9lUf 

I+lrGU8ZgTWkiT0AK/zdi9/Fdg6sqgrApmt1+rIfqPpPIB5u4wsEQiPg+ibGRf9AP6UrwR/l0CcK  J+MC86qrGE789ckHcNHrAv2D5w/AJY7AikYOiuB0QOvR6fOrcwGqV8VTE5FaDYveMeYx2Is9RVZI  00gPAMJ/O8J3THIPO/d3RosA0tkD3ks733I96yELOiAs2Dvacih3DA0YFWUjGgAwg/kCchUD8U5O  A/lPT4YAvP3zpfxzDEZHpOsHk6XpZ5Ok6+eAAxyiFDvKdwXzwXVDDZCHyrhepqSLyiqq+ywtKgow  ngAtBOMM86Z0Bw4Isn8DzQT0JicDoPMn2YpGEAD08q51AUGH2SvLi8EF2MMzwLk79A8jTw/wy3CK  Xg6sOsN0C3YCIfcv7waQTujrjNiL3is14OV0+zwJdPeavrbzxmcld3CwAIM2co732EhIOeFEdLQ2  hDHHiR0DRQIEugNVBF25BgCtUDIb4vwlKJxJjVfuY9pSGVirGViAQCiD7CBZzDwMA+ECxOcmOvsA  aFtajsJSU/9eCoPEILr7LLkTFAAOix07y3NAi9ED084M0eqaBhry0cwF5gP3GHTRw8wICf92EgMQ  Aw7tcJf0AHYcN2+gXweKPQBoP34Ei9rrwYvKQeu8Axdk6wQAcHwALowWOwUuiSY9BcJFYsRelEP0  S7z6Lo4Wi1QkFvtybxiM74tGBqNxK8Bw5trJggaYVoN+cffkdE1jAICUi4SIArEK0+BQmkUH3iDa  CVwLwnQw8CH/hHoCogYO6Mj/2UMYTJowmh0m724iX0hBseWpH5ZcCAJnMHtu0ePHh0OyCwAAfwZ2  9jTsuHcwef+N+ywKjD50MISFFP82B5pJAKN4MLMrAby8g4czpv+hdv4apxQeiN1J/53rGZa73Jvu  Y4L6eUgCgscGeAJuF50BxYFn+v8f96SIAgGvKhgl5l6VCw4nhfuWBKF4AsrJGLjcnQMtGwqayA5h  TS71TtIAtQGZ/Hza814C2ZjZBXiwd5ruDVsFfBEA53MNL5lSDuF3yrqaOwfvvQaazAECSAyqz1jJ  Hb/fZFR5LCZiSKdnHCvKIdlZQAEhTedCivAIxOgxBS2B0r3Za4o5cQYmEAgTUcwSEwRiooc1lvS0  MM0hyx5dA0qK3AMAtw9k9uQDw6OaAj0sAXMAwAjGBpwCB+sWkB60JbAkui5zPjewAjFqKhj/ibF+  SeecDzM8nGYHnXGnWRM92bkjgT5nAwhmMx6M2o7Cv6oCmihXnR8Uur6dAqhGt0FDuhxGjNtzNI7e  R+s+kMenM5q0WiebEnAqcgkrE5AASlAejtuL8sR+EPxdPTlYh7Q99yFiItJ0choBrrQ+YXySH3MD  Hu9+7D8czus+DKZ9gUESQE4+Cia0QiX4zsLKXn7TcAknJ7o5i9iLxVJFMlydCzKLfuY9ERI4FDgL  OD0hCyEVdOgp3TW5Awx/NgFyE5hesK3fAPsbolXdvGU/QSIFpf9W8n4Ov6QgugGGDGxKbA+0ZzGq  RWjSwpdIKyIHtGgjriIYHlO7AAAw24vfivyJHpgCWx+wA4mCz5oSVrgQAEAA5o1G8BZQmngNZ5Kf  pQh3gKX/7oB68CB1CXsBaoN+7hBy7pgnuA8AKwxQGY1CEoouuQRjBsYLSARWmjfjMUCjXgOkNnYn  PUzig+4HPqZkJbgWAAbA9yYKi/DEHp4EJv9wFAOfBBKaEAVkDykpeO7rCbjeMAtwIoxe/rgF3ui8  ZbNrYZICR5eycgRQD5wXHWOWYxyMdn+47jVDsDYYDugPwPDTPbj2mvYcvG4wraDBKuRQoQaop7EI  0+gbjFHkPpRkdSVPDv9oMwuMLQcPWCHZDpoo4EgFWwUaIDCPPHr6eo1G4ANROz4DNgrQT52TvoM7  g+8nmBr6DmEMdFonRotcSUYEY5oEC84uAYAcDcRe/CaLRw4mC0cQdQ05myIMtDpRv8zw/fyLagAk  oAxWxB7eVbIELAxJwC3HRvgAAAvAuBk8rQA9Ig+LDMBe+P8Uxof8Ak3phACQOWDN/nU6/zb6AjQQ  BPgCpO5bKMvzKfi88N3zZ+r6uDgeSMLZ60SQG+C6AsQ2JgV1OTcDUM70PG/e9rIYsvSGPgMeskB0  Cyb/d0AEPutyw5uQg4qdBECINzWIki2l8ws+xDAK+q8ECJdANO2VizQFLX+Y9De8wEFAAmjEuB4D  4gwxg34K0+laCREBjAoxHj5daQUfACIQ6RgBkPZGCgR0EGQEuBAxvIBmCvu81+moABYIFhpE9Bb3  6ZIWIJqIFiIW3+t9XhNCAhYoFv3r0WtnFoAWMrr5Fn/mvaYWQBY4Fr8b33wWAWsiFj4W/uslek0W  EBZEFqC07+sPkLhMEMcfi308k15auwvrJQFxJEo7dB2iX1ZQkN4bAiMm1aD+JlTXBiZxCeJwV1Zu  i8jYANHgA8EEAovwioSmFy4BKuQei4SuFwXyJOQish54l624Vk84GQ7o4PwxGuBAPolW4v827gIc  FxLtF/4VojJ4+HWqeHF4cUXNePg7+qmDeGIS+L3BYNf2NCOLdvZ1MFXmVqGyOMD9FrQEK8YFEOgi  co1GkMdLwGXcUEKaNCgoomya5gEMAiBp3eiZJhwtKAFBEcdG9AAA65jAK5CDBmIQ1okAcvRyi/uN  cpC5COA2APOlJvcHnBCSBibHRwzf9EvGtDkGcs4G4kXqduCaFANICS7m9gUEweOcoABbBXiaYgOB  kgg+7AJldEG8gy4HIGKNfuSL8BYHHo7adZVcH5SaQn+cQj//TvZqjgrxiYJ25JSaJl5fOJgyHJ5e  LsP7BKjYoW/ai4eQgJNsk037BNCT5IlW5gZqk4T80OGTJgYJoAuTCpC4eEA5lMrFXTvoxdBVJYLx  6F9gc3ZUEL925Gi0LwPQDWU+3RNloPT1YmdiBkhba4GQlWQQDkgLY4JAAmPq+WNoA/CJVvJjIX2w  +/YDKANjCbiO0IFiJUtIcyHCFSGjAxuXdvAGEgM7H8z2B4B0504JEAgwEujrBccFAQCkFzcM19KJ  BUAPeBBWuJgxSEARmhHZ+D9AERD6B3UYdKSgBywSdAACBC8CFlbeALiuofqh/IA+/AIAF8l13h/4  vIDwEbIEJBHI9zBtEerW7KCDEf/4EEmHIqIJuL43aW/2b/jj0nUuILYPEJQxCSI1XIwg00FP6gYi  vUArIPSAAhT0mCQgg370/w2dJmnOxsFQxgYTixpBCuoOh6ACVLjIMUYJRspIYDWT9jXy2kD69DXK  9wd1GEbW0LEuRvRJg5I5RhJ8e8tcwBg9DBwDDAwS8LjgAxb1qRlqM6FdoxrHe0IGBwy+E7b3NgYH  DMAmugz8DMAM7gQs2fKh8AIJBgqp8zoF8DPcFzgtgD0YAA8AAbkBA8CTLv+nNA6QCgS48BZccXcn  pOoxxgaw6dEBHBh5/jHr4gYOMiKaIbw6JT8rAf0rVMAjPumbK7s2HDAA8OaAv6cXAXQy45WLhel1  JipMJybrHgw2ADJ1rQLOcWqArvTpOAG4SDLk4bRU+olFVyHpGQFGsqiKh7H0ESBe9P9O9ATQXunu  ALhUHUxKLvzp//6QaokrFv829lTQbfQC7kqejAT8dDiDZemkSoAy67QpDzqSOs+UeOiNABKgoLsS  6QP/uKpuvjKjuDRhTDA3Wri8SjMz2DjKBtIG3gYzg8wG9gbGBgwz68DzI54ROwAA8+mR/swMeA3C  DcgNLg3yDGAbjg0qDv4MAgYCegAgDJYMnAzaDeYNDA4SDuYFrggYDh4OJA5DPjYAdBDFRcLkwPK1  I6prWPCtsqbbWRgzFZRyPI7HBo5yRK/yo1EG8AJN4NX+o74TKq/To8AG9iba4CDIZcq4DmZ6tCIz  aEzaxmqcHRAj7mbRI2jRcRryOL6JIzIfYVwn8/HuECwKHp4ouEIwuEQFUqWmOjPyHYFgFKZeMw7t  Ck6h+i0CoWotIKqiLQrBei08aAUuXdCFdLaSALg9dJW5ngMeuAx5aI2eM1ua37uDtXpI3wiGxAff  F8F1zv4O6I/wwPVbAnUSoOMASzZmdBmw9AKoCHUHLmBS2hwIhsF/N5zvuAlrHWN6YxVzJ3n/WiLe  lZgzae9uKPnQ1Pg/NMzBP9hW/waABAYORQQQc024EuMqmAqL8JSJ3DKEYAMbB4IiYgPwhGgDAAHx  hGoDzBvshGwHwgduByKjyAUHcAMDRBELZAOJlGYDXtRhIwoV8u9si0UPzxBip/8OB8u4C0WBGtga  ywwATGUALqFkLgsGZi50BP/DiB4KoZAvDZIvK4ANCn4UV1YqMJ/YjX7sjbefuPwWB7kJWTilrTlG  7Jm8ABwjhw/wdw+XAGDiomlvaUGdTv9A/7eBMLKaRBK3EHaFIRXsStkJPz0Vw6k/ihvsOQPJh+x0  CVCaM1rnGxvwixB4EjAIPBIxWCYSoy2ZVMMn6BhW7grRNP7rKZCmcqYyymX/hOoVmsdzEewrawUK  VDL/NgIWyLHymujY6PHSoecAhPFXoZYbs59A2HdzzHd8DXQAUIR2Y5qmEFNhLnlcoAsZnfo9JnTg  BAU9gwB1PmQO6GFipzTrMszgOAwXGCu8DhcBAA3GZT0Gch09BlsYmgDGBaAf6xGQJgA0XwBe50EE  AhZkNyg3hQKNUKGaBKOc4aAErJoE2GU+Cg42Iv8OmAShA+/cWgZy72aruC0mxweqSoIGHXfmoUiY  Eus6FBwzpAQDBp4U0zygCw0k/jAEUpn5ABgRi1cQJsRfEiaJR02JP2ZXaTOhpkwGPL0Hd73FdngH  nUiXPvIPxz6gbzIHPUUUHYuFCgejPuB7RQ7odf//RjdzP+4n8D/u+kcqdDh+v/iLNwqCRR/7egcH  oS9FgBkURTBM6CpR9ASQVgKEufShnPwhePMePlU0/yMLIYseCx95FyvD7xf7Nzw5v11ALkU7AwCb  w+p5jMKXghioYlYIXguW6JYOvpYjBiYkRv9fDiZ1JzGXPHMgdkk7mHMRowaf4+68ugFFXxLwENCU  NAYdlPgIKOGUQ4vYxDacAgqLAEGEb4CW/hjmO8LBFhOu+5dksDaTGpyEmGwBU2mkAhmjDi0YiTNr  MZp7tfkIgApFyzogQhI6dBOBMFtSUw7obv4ECVVqQqe1AwAGRl52dUZRRjFhKEbNstljNpa8XwSu  BLQEFSWkd+DIUoM/AHUL74AAwT2PCGSMXB6u/s2CeoRIkyoGV1YhnhepCQZr+TwWgRQEtStWi/uL  8F56g14qs2HFgV+DfwwyGmt63/okRhaCVo3G9+HglxCCtND4LUVgqUyMZuSqXh1+7MYB7nOiid3H  PBwkzCEPUFcK6yG5RIpSuIQzF4xfCmyISySoxwQAHvX98NpkQ0feiJ5wtoZ+Dgp2BAZwm1c5CHTL  SFUO6wQ8W1Snse/G9M1+OyrybzVjAOklA/8Ni3bygHr0IPIbdPRgk22GG3yQFo1CNszKU+sECNr/  BpQEwdpJFFzu6PQTBQy8krRL2QnHIxQByWU+1BIAdCftAoWGmP+QuDbWEpp0FAi08Awg/XsuKC7O  LtP6HhnOGZJKEwDVpw0EAPYCmj4B3xeaSgTcEZrgObIBxA+anheaC8NGqpqJAwU8rARaRI8gLv3Q 

BZNRSN6VHQFV9oKwJ0608AOAHl47BqgEcy1iGaUFDwMTx8POE3EtAS2LwwlpYbiItypvI1ACktKh  J9OKV80G2FdIXDN2Ff8yVQ6od6h/PWBEjo2cRKEa6+Sa6zSefS+zU8gsjoIrwEsGek4y/8WhokYF  +Adyw0ETsreRkAwa33QTowq5DK9IwfYAGMNNKlt8zZGjWjWJB7YCE8nCBusBj5AfBlOaYgHa8Q0D  7CGLIQtHZKwCdeG8/J1cBrHBRifc4qutvMnwoZfGBo/k33UQOKn/ijYOfrm9J5BMihOYtgQCUzjD  uAQKAPujvgSVs276xt/80ScMqtf1bxT7qpQzCtNtVwABozjmo7ifzUZliRZlJMK3WGlajni4DACW  nJInoS5bpSxAi6MO6EX7ZHFgz5UubzZEuOyH3BJ02xVq/htEKiFy4wZzCCUrCClJFzwKVpQE5fos  WU/41172X91J9pY+xEkGA7oC6Ykmh94Si5cKYOASftB0bMv+1FW0DjQDMHsM0GNUwQ/IEgTGEgmZ  H7gDaQr3pCaRKOpMkbg9FXH5/knOG/jbntM6kJlEZgZ6Vt5IHQ5WX6gbXoMdABwxTCVmSgiOEw/3  R/BhQd58UgT6I8EE+Jp+F3wWMaYIDrLuTE9wgegmVwYaFGHcqIhY6DvRQxlzyJ8CixRytIUAL//r  pJCQmmGobkQEjYwBoFuMEIiJjH/39V2AXDj76Wva4Vibhnc1wzQNlRuHCZqxsgCzLVrBUkLPATlC  GaAmOXB1G2UeBnJ1GBNeiU2o1uXrTZArw9ObCztgT/QmO0cOdQbcUwZXEBikGy/qW5hPEU/sZuMJ  ahMg1ojD6IYqPFdWJrBmC6/GMuqbxTJhoiZcSEREXvCSJYryWZaK5qHSisdG5ADyFFbCHu7rsqdT  kNIlzRks6P03raKIAgF1DEIAZWhpg37oAGBcdA6LduT/TdHmRXMpiULEDgPCOg6DbvQQ/04PLnQA  fwPpy0CKy+4IfephBz0gEdo9D3bOFdzAdDQ9Klb+IxpeEg/1DD6SvRONfwjkXQSlAR82oEKLrQUI  AOlh/wzDqqKGrqPP6Vr/gQm8STeMRGxddBk9NHQUNDR2HE4MCj0GEAUDdCGwCwMFBj/5c6uQPSxY  JFcI6QQMJpE9Sfxv6/4pe7AI4wgIdJrpeR47QU2NRsQWUMA8gK8QBA5kn5qvBDIK3spUJFm28Pjy  kh345lpOgSpcvAKaURt2yfC2GoORdnIVPYcAU5ogHwgWb+nxXVK8qWhqzP8YYgB86y2QgH78MB6H  cjMGOXcthfBkdM85dtP/gxFGz4oPKu0PLTC64FIAYuaKB4hG/ArAdcctTQm2uJwD1I5IAZ8c/GRQ  PD4MQPwwsmHcINyAYQs9RQB0Sj1GBXM9UhiGBSQ9UwV7PVYFCD1YQSYFTet/kBMI+qpYJKOIBKpS  62wSRhJuwIoEqljHBqAqCP//61AcKhVNHIwcPByMVJUcNBwOmqocjkoiEvxQmJKjkBIQqlQS6hKS  IoTJgD+XOqhC/94MLuGaRXOa8wuFBAWCh+gK3nBmIJoKAALI/zbbOT43MQ0H8AwhBwZ9tAABPU7i  DROhusCA17wAi8ihDyvS9/GjgsOG0ncaGP82IUkHmm0C76b8tAiiRLh2mvoEh7+xBtPobnlmK44r  FaEGORThDXMHBSUBDykeGHJswu2DbgYmiOjgQqEqCjDmk2e5BXXx5ACVsxvJIwI8wQW69EJy0YG+  OD4cdA4oNwcABxBaHGHHRvoLF5qeANeBfHM9EAByBXcubuvTiXwj2x50Zz/lMs/2KxD9X1kDCJU/  fBJBFCwtAAIUgNwcZfgsiuVStiiOA45gxvw9QAB2CGn8B+tVLfD6/CBzTk8cDndHkC+U8SPXoQbr  NzsNJCc76xIgdQf3yS8GJ4Dn1vwtEOD30clP4hAAEuyU1zs5FdP+1A+1LhSmjgSH4FCsko3nAqi2  /lDCHIIQODgAxA5wz4As6aD+47pOK5KdKoz+rQO7KRV3/po8pOYCZA8Ma0suAi6t9KOiEeoOpATc  JYpuAKM8CP8WULieBAtJ7NH1e4NWMzg/DgCsFdSEDCwMNrIr4HSTG+q89yIWFgykIgDZCQwKLrcp  xRAM/v2SBRaO45BWVmH9bUIQqp8AuKSBKrHIA6EWOWkI8RyE380g7VrCuNi5nMR2wNS9cAIEMOJ1  yQsjBQNd2RAGg34GAX4dZBtI6wP2SYcu7hIpCN4n/16Tdx4EHGqe8BHWBMbyCqKCeJoAAJkgLF6g  DCbnqAgYcEsX6x+QuBNNLCqusxrz5esLFB3QtxTCM+vq2qPQtdUA31qCAoHsuABeHOmIiZKOVorm  hlAzQd+IDozdTJkAz4wW20Ub1AWPaI4Fhlj/C4YMBAX/tgNSU5p6DzUGzBq5hjkhdXK40qQWBq2M  sQtNUv8ZjCsZzQBh27YNA/CD/kBzWzpNOwspSW37lHQzg/+OA4uLi1JQi77RiiSNQx/GQpT3do6U  q4wgG5Hg4DMLXorD/EmWWpYMCUCKA4iavmQECQo6AZrMBDjY3xe4JzIgBDzRP9hQegIhCHydNXg1  q0bW4yukRNal5xitduR59pJQEj2l39kvYB7vknMd/wUrIot25FqSjYIl4TEq0bZ2/wR0/wGKZY2+  SP8/CexDsWUt5RZQzXvxKE4sTAQ/REoEKJqmDTQAgBCLhnL/JQD+sQnT6AW8B1AUlg/gAbEFDzsQ  DB/gJAIAMIMGiYZU/4mWVj+O8zaq2l3vRAGK/AYbCjlhAcBCBJGBuwYymuEEEiwEIUEc1P4sS4Ay  DsdG+HADnfYAIOsKBtyBfgcBchbRbvY7Ic9M8pKNoCLyUrIF4x1zEjaW9wbyAg7JFYWlxZhQHxVy  BKYQrAzqRv49qXR8uBpZrCCQiz4g/CBEbDvOo8mGgZpOKbOnbHQSUKoyGfycGUJjORx0sRjLE5AU  MOsNkAhPyAXH+AF1XdQaC8sRGGfUdPEug11+FRvA99iGkkgOVhHJSgACUDgyPCnf8FXprA4yae1g  7eny0vKPYtKU1XMYR3AFdUisN1B9T4nhrnUglb0SMD4RJ3jTeOmpslQAkKTJwT0Jk5sQkHF2C5Cb  OBp2C6gDrPgScsmV6QHUgio5TQAZcz0wHil0kAYKdQjn600EIUoNdBQF1EaLwwPGjMJSmJlCCgEZ  tH4pS+kx/5CLGaMwowheX+nmR2muuIFCmJLHhv7+qcyysgScHWcBAUYEFdMq+0FyUKN6ook9Awij  CAQmygizCAUIyeINAGdGuSIHay/7eCE48hzZCXs/PR0xshZ1CslNFBhdQBSPDg6W/nyGRSpzCaYQ  AG9VfDtGmIJKn1x0nlS7nUiyzLUe4PxrtDtSaq6SYTAIXa4E6W7/ayIYAk3FfSAI68AeWsz9SArp  RP9aGKwIhlOAAPj/NtBbqPrOBDBIQhGIN95YzFjLmAaWLt7DGNwvCwY3dVxAFZqqoaF4Am2I6i8M  XDbA1br8aDaaHmMSOMh2lgQOyccFURu0kKSMoawEdCsUcXQ2D0IZCHQbaZuaSHRHmiD0FCvnD5Cy  AoJbdQdvo0CQYoaARg0O6FzqoYqioYRcAXUSFEo3gT+AADgppYQ4+gI4JBQXOLgACC4iIDyaagc8  gbdiMkcpFWRbZkLFuvFth+tJQ6UQMDfmV1b+9kbCy/n4BEpa6JqmUQz3DRcrs8mjDxT+PwAFiTYC  BR3uAlahuCOqIri+hiRjbIYXix4XxDYWYUY1/0CjwiRTc17LLhyouOQzcoweTAEfYaSIUV7LGuqQ  RHUvnpIKOfsbqrKTCoU5XFXbwlKW12OXdoRJuPYEtdtpXkFGzjaHtSg0bgu5mQUOtqT9cAgBtdWJ  RnG1BKnrkH88nLIuCDO6y7cEDsFVjXYMl6Dulub1dzDfc1uumS8QrpovBi+2CqQuAjvS7gIKAGnf  ivANDKXfJtmZJregzxlOMLe47elOFz89iz4EAHO9Ps4MB+hsnwzs2gg1ejfkJvrURQikIKmCCMaA  Dj51nBDPjjxWF6AGDjWQZieByaa8BhQLZOrcTAbJ3p2dyxIsE7I1V5A/I938uOak2xJa0bS67hsW  BhIBFc0AuCxvOhSvrQ4COeYK7oE/94J0HpwK02JPpABSlKAGn+mNAC5RKCAWgwAZLq0iG3eJVvwU  Qw9DAhjSAAQLuw0cbiYUIvg99pcmZRtlaMoBYpAgGQH//mYlRguE0gJ3sXoe2lBOhWq0LqGNDFlF  zAaCyEe/NyhdujcNSIV5yA+FONcE98bI05QkFdCyhRmFFhzQx1Qf/h6oG0oIqxlKKP/GzhnXLlM+  S1ZEBlRJaYOlclDLAFGRU23+c+yOWwdIxxHGgOT9RJof+sPLNCAE4ZcHw1VPXjpbp0jAxURJ+kBT  sSIKUCP8BTIEV2gLdwrJW4m1oDCODr6Y6zQVr5+nHcwGJoTMgz4IBjO4I+YNoJBa/wChFEZaj350  Be7CoYuTTAmLV9rGSXQWdUEJzPbsOZN0BtLQ2ARXDOvg2qxP9ts6jT3JC30vNwv2kOB0c4k2tjGO  CGQno7oEjiqB/mod6HbU5DhzlZCBPkEiZiB1GMJcbgiHlsUnITEXgOa/pxsa+AcyMMbio/TNBKcW  9gK9BwBdt+4OLkhHAVizKSIIpC0MxBpiXwRD8g7dIPStBBA88i0OAOsMkHsVLfwbj9T8PHQSPoon  /fwUVYiNAiTNFN0w5XuMmeHtgsMXEpQC/v8k///UU/z4yvoC1T3AFMBs79gODDwX4sf0RkHc/G4J  /OnnjCVMdTRe8GbkqvPrVkYTrPSmLLuaGvHsHu5QuqmKXvHs8cVMAHjdmv6EYh6hGAUfST7huP0N  ei9uMNIrC350F/1CoRTGF9kJwNUC8QmUH/he9kAaJQ0oPujh2Pvr24LKIFGPmOrJIV+mBOEPkt2I  OZCGEyb2Egp0K2CEwfAIdbj+q+UE/LxanADyz0TJAOvEMsO6gz4GAHUtVb2e+XiwhBpGCBO7zJQM  G2SF+P82FSX/Gbr8a9n/KTkJEVpVhvOQxIkiC0sbBFFs+hEm8dYERuhi2vrr0AvbuN6qAEMkukxD  GlqkIIJgP0bkOwRKpDgIAlVJX/ZtdUNGWo8WBlKixjYcGfZeNIlHEiRHIxSpSLsNWLvLgpm0FuVk  1rIwhyRWrW+kwnVaUlAx1hgeikCHI2H6C3TqxEHCLjN5wvt9C8G5O5i/oo2n+eKfkr4MnZPpdQNZ  sN/dct3HnVU1bvo5lVxeFWkQVVZq7D4aY0OLWNTFSrZKXgYu7kV+ertcA/Vcaiq479RCj7oEcxU7  1dUVSh+YZfiE+gpaZe5gto2rI+kb+nEnHf4CN1L+wnV+gD2TeIAcQm0BkkNFuomyt7joW5KcQcte  +Cs59vRcf8YKz5uUetmgTwYGexfvr8q0BO4RtIgO6EUnjnxRnJX4LJhuCHr8hCFTtmevOEjTHlnx  pEs2RIMO/IQxT1P3FKeieFdW1CKLk/akN4DQJjl38HQai8aE5itYKyOui+S02NKBAAFlcjAkATFI  DAfpCwFOAnQ1q94/3I9tIo1/+EY8ZLgsUPRWu05vMMuud6qdMAj9WjA6BtKF64Zm6a02J8msrVit 

SCfoIB+fV/rpV/+UqU1hKP94UtcZOd6M9gwLZOmLM9CHOTl4Abt2MAr05Odm6yZShzlQfD4BgACE  EVcK6w83AcLlN44jOxvbMghaZtd70fRVkB70uG6GUSio+6/8JhpRDxBywEdOBpWDEYtCq+/yaujQ  9+XXEgaXkBJonvhs7MLUe5N5FM5IWfsYBYQXkvIyN5jSDhINVfKSFOxIXDf3xiqgZYUBg/4IdRp/  oKHrDA9pnENmRsGQHjZ/DnwshJtzBotMdxeQAIBJC9J8DH8FPQAQdgUr0rhdRAfGxF7yb8lLPh13  sfVQboajhzsfcyS+2oUUci0i8sTq612QUtM+dAwae/t+o6am8pP0Ifrc8qF6pvLI2vKyDND3i/BW  jUbsFjYqTjd+n60gK/WmOexA7lIc41bOVKvG7Mah6rZM8V4GmvIEAMWiDIuQixc6qHxmQUPJRjvI  ALqRlvCoMjzM9vYDCnR3BgIqQHQLresZkP9Q1gDCeNJ8On+uemA0WgWDvivSOxpyIncFAI1pGz5p  N4fEhRqqVCSyDgBcXZQNCg8Lw8RYGeOLod7RqIXWyHoxBo9JI1U0dU46yoFA7VCuBqnuk2MI+qW0  RsjYyjBMpBVkKFKzyjARwQyIV1aA2aHGBKO2BKHIBrgGgggM7QiCW+1HXl/dCo7OwQiBPsMt0AeA  dBkMUKGLFgv32IPSAPfaq1mJvzmwMwa6vQrVib4OBbJpHgcJ89Qc3NTg0gRWOBJ4Afcj9KhkhPax  ocoSYc4xzndtTpCviCAXAwbaGz0JAHYGbt5jCEfkS+J7egTgBN4El2ljlvVvrRQy9zrke2QUBmBF  mlWa/ACoRAKMdA1UWrsGPqf+CIHbNtiBwClBSYQgaH8rhMgD+H4EQ/AV3Ww9gFA79dISOnR2eTHq  5whmDOrBIbcrt/savDAywXdbkAB8wcRcTw1aH1cTFuAEeJxQjhbYQJKSmoyPqTN0Wm3I77p1BBFb  a5439aw22KH0XzuNSlLtjs0ZbVTMBwfXgiS6hfeE+r+CdR2SXiAUG0AGFHYUJIcmAT3xkAIdgQjQ  ARpRFho1JNgaAIqi9gbWBCB0o8AhK6YNOmgb6R8rKvO74SExnSypiCgQvDU7FAYwY+sSkDAAi3b+  xB5VJoB4/yB1Cf9CR07+0XXp0A45Coh9ZYtvIB9ljh85I0AGP3QFYwKBBmJJ2fgQVq/0oU7Z9WbG  IV4rBhvJC/Q0qfJQUKBORsgXjx7OGNV9gz4GnRrKbM85OnTPn1wFdhFEFbgTIiOMs/EPFBGnRR8r  5G64XvLEdvZ7dxTwnxtexfo+8nJycukIcxFTruJ2IS4lMgD+aL4JKXJcCRYZc/DrgEi+8AB/3xgO  AHivBKBxIsBAXhYm+D4WUKA6KTpOI0E6dGMkiEtoGAF4kBx1SDmrAnR1QiI/UKIISEhoFwQQ6xVC  BsmuQnS+SwqYdOvuCtg3mQrIIOb0CzCgM00LwOvEkHG0xLuMhVeY/dnkd1GYQJgRFEWYNphJmB2q  VAr8tNSngCOADqikwgt+dfIkSo64AoRcdYqE7gSESzqVhFYKhACqD4QlhH5/FnxRVwZ4c4Z1kXyG  BIbW/E6dMoYkArqqhneGfos6hgiGUPUVM4aQhnwWqa5/hnbqIoZ/hhCGyp06+zKGbHVVAoZyhn0X  dYYghkQNDoZKARvAakf32NQ+mRSKDyveXgjpzLVgy1a8IoCv2SK5ikwXX57y4RqgM2qjiAfp4ab4  dU+BPuQw2gBK74zKSgpPKwYhSwpI6wNZ6sSGXT/85lIIdlnKhvqsRz+akNSUgyCX+3wjfwfhGuLy  EH8TfBTgHxDo/XMJOT/rB9lVkArVP74YL7p8KszNBvxP4FMgXx5/F6jwL0gEQ6F0/nYxWEjYLJAp  UCV9H7XkOn4mc57kBism1ZCcF90r8FAmPWJQ7lAdoe6e4kKvuAvuGy78ozwwswayr9rouD45gZiF  dCa/ZqA3GFJQl5APGBz4i17+xBBwXSaKAK3QGKpe21UA4R11F+EU4TB1yuErC+DW693gvnU2tiEI  r3NVmJIRkv+MCHeo6wVg/AoCKkAecHhAFUCJATdAOopR+vy7Kv4F3zcUkgylUDbGBFSzCHUrfdob  h0lSi6YNGZbLxiMekXT6DqiuIwy2Ap+5towKus6M/gKM65Jm2FndAoztlCMGjAQJhoF1DbhhHlCa  uVB/n1SAf+/2BnWeOpDKBGAqiY5a/gHUN+ToSC4bAlrz+V5cPEyrM7KXPDJXI5CGgA4q5FCaICRK  bAKDuBUcANeON6E2tPTSctadOsgUVDGzxghUVLi6gbiauLgFJ1ta5CoJPJqmcIYxEoM+J3QOoXFq  BkA7CHWfex0GFQkVBiIFC34EkLgKAB1zWdUGE8v2xcCxVb5dwCID3MZG9SyNridG9Jx/BEDDPQTU  jNoIHGmhrGQ7Fwayikb524vwsRAuCvbxBDCDGAaIB4vGDIDEMApnASaYGMZHAjoj+CNH0yEURwMf  BHutHwUf+5raHwYfB1DYaCCQkLYBdTIXigdDW1MhQdaarfHoQm4+IEdVA+migPxj6aE5Kp2lkgAI  aEM861KQcaKZl16V2yyH8SBUBjn89UdMP9Vx2VC9FC1UAeznCxhUOyqt5HaiT00Nkl7/Kghmm6yg  3JsNRQII0IgDLRnTBcdc/gvUqOmedSb+nHr+saBC/L6yDfH1Xg1m6GKuClZibUbDhIibfUamtLoE  +mKhFqhJNOsvkE2xAeWNfvaL8LVYFlZocqvciVq6mpoDEPV8Cm/oihh7CQgz+hleAjWk3IAi+iAA  mgYDnxyW4MzuCI1G+hZmsjj+FnlWPQX4BWcNUMYFMDjqNQNC+As7QnXqF0T8JkQFDzvK714TRA0t  J8IcRIPEFCKzRbh0HndA0KPWpEfTkOZqV2GqJzoNVvqaohumDlZAEGamQC9Nqo+JDPwGqC5dChBH  s8+BSJzYFiAAN4cTEN4D6Rc4DMt7kIh4tgL+lEZOOgw+TgP1PyM+Aj7bskykkiIxVCQiKDzEB9bw  mqQF3oCkIAvSfxB8BT0Egbj7+usGkOSt10R0FPr3JgkyiGYTti4hXxbt+lYS0yTGqIRG/AW9tSpZ  LwDThSo7U2HW/7wR/338co3YzmIFBJsaASo0JQajibokK8SOtw3ct/ggQYQbF7+oQ8tbp24a8twy  c508bl3QGW4uBQPCwnQpwgsGjUIWOac3PDYUK7K+6313HNY7RtbFdMeVqABI6++Qdehc6+eQsSec  ey0h99Q4a56/Jt+QaXSyfTvbdcsQ2+nL6yPY+wPC6LocrQEwAmQlIyVeL9lXuABKtjLiACqWMs7T  tkGCIzHqCBtXl38tyUpS0tE26+MxZhByuzYuH8RVN9Mh21XTXtpH6R9Q69+HOw1ccH24cP9/CTu4  QJBnZf98VISL6Vv/rjSMR+v1Fw1t61ayd+zg+iAqfGzsJoAONCqQMgiQKn4qfEAHKnIH+rUq1wqA  ugHdbwDfBK6AAARQuCYFqV1oamIi7RsVbBXAKAUEHX0riFTLFzDGdOTuDTHEHu6/H9Bb7e8CFRZM  RnDJy1IgvB4/KlIPmVJQL+EzVSK/B3exg7+uMroADAZTFMIXsyQxSSQUf0Kd0hKxuAH0XU4EaUv2  efEoFXayKgUuamdIn0/yIaqGY1Bj9jAPdQU8lb0/QnYlZm4CVtzA7MeHpgAEABuGB6xFALhAf4mH  qOHMD4yfqoj+AAAZ6y64EgD3Zv6L8KEYBYlc04RGBTbRMZj+4wL/t4oFBIjBz2PIA2QPdRtO2Jkf  lFAfkk4jLQ91yJV5Ni5WTORMwG0ri3bksQLT5jVWGj20QbTPIEHYlgb3BhiYqULUiVLWSeR5LEnk  ScuLHi464HPEpSbEGEXvzSy5ibkt9uQ9PLwDGRGs+0iOvAm+/I4iiYbKiZfK7tzp/gHbgY7uQCvJ  UVCuGFP/cAIEMIQ3DuihtBV57u4+i48+BoCLtz4DyIlO6ol27P921hnFA9QoaxXf+PnhJbDmiVbo  4wDfAyy6JjlHAnbgOh2L2MR25nQAMIhG0jwgdA6L84hC8P8d4GCDfuQKctYLxjBcDwCaQgP1jUbw  KzDsCXyVf+omZlRv2gPYcvkUkYVyxF8IPko/GQvAED1DAHQlPUQFeD1MdsN0TQV+PU7E+wVPSQ+7  MNyNQClRCZARAY1wdA2LN4H+DmCHCIP+EHQD6dUAZupt3gPccIkgknCDPwJ1QOjrVptcPhBJwAqA  eiJZgbCXmhBAEAgQoFI0aAMQChBpf5BK/lwk7gI6M5N84gPgf12lCn8HHX9/AWauzkIE1YE/GYAF  ECaKZwQqwCYBfVhbhkg+ykbuwRyN7iY5OHbu8/2WIZJZkmM/+zqArP80mk4BAgQFE4tkPwHeF4oH  JH88A3UzkAp7h3IgWSJewHkFDiQO6dEmDhdXkQN8RyzCLvoQK8B4/jQUVm8s4Y9lOS8mLXGCEYPa  2Jr+BEHG1AMGOgW//jHQ/ow3M53sIAwKdIAgDO6JVvDHRvYn7+t27F1qwsj0/Ow1l+76GVimou6L  LUFxYh+APw1uODf5hH70ICcRsvAABr0J9gb4oQWJjW1Q4q34hRmtIjJoT4pHCzo+lyqXWYyBjgCa  c0+gmg2JAJ0+2EI5naWUIBABQGcRAyC7ik8QKu0DwWeGYgL/2oOwIINuIVei6Uv/LhBOmW4o5CbL  kRARDgTrymsiKIAo67CQNyUUQHTqdAPwIevgx0byhSOhxvIBACj2RAVg/zEk9vAD7ppCeDVnGfLN  aNg1DDKSAwo7mqq4DEEKHSzYACPoZHQGUQ4dJIvkCUhK8BJWQmKBCCHpgQCQIIN/MiRAAHQXrPyL  8OS5T8SfMoE47H1WOhdQGNoAZcRWqR5RL/pY1dsXvf/6qWZRdRYkbAnlr3QdqwiaTXAJJP81+jhv  NQMxAPweoTYFixY4BSD9iUbkiVbmeCSTxFjDBnqM5AtGSczmtuPPHZX0IuhMRjDq8OIeRZjkFwro  MxtdDo8GV4x5EHQPiuKDKRJzIyc5CnLYCHNwYnD9/3bqA+iNRuzWwFuaA88aJvenrAAtIib/f6z9  BXISpHcFEoeMaTBHQSLVTi02COj/vDElhHpyoEe+VwjoNNbpJ//qcyr+/gFVA9eQEjxfBl+0JlSH  iUAID0RAAgECKmMGIG1jd8om8MFRFLEF0+AFaCgNK9LICEXzVkH4cr1qXGr4CV7G+ol2XPowpCkD  dQUX/pzcXqnhgV8OaBBIzcVXDDwwFtyLVozbSYkcEYy8IVXdV0GcmPFKQoQOVqnoB+muAJBn5muA  8oD0FfLwZDFtVxD/dFsR9okA+TvIdRw78nVZPBi+LubEiCP0O4HrT1ziCC07TwodO3cMqjl0EDlS  63GazB/MCqrHUPzj9oIFwWnS0UP/0ixWJXovi24yTFAC5xkeWjcZFd4VCX/gDUf4DgjeJgMICfmM  4DLa2JimlR/qdd5nPStBqlA2A85SC7v7V9KVQgmcngsGOAVQE4AeAarTm9bG2MDTp9YLRtgnuwEP  EafUTzAjfdRzQCCnodabEKimoRpXBJucu5PIgqkAvogXCaAALXKvNBwGE43aIUhaGhLF1sUAEwPp 

Cf+QGNQUFWHpIf+9C7u+4unBVISC6MgDw4vIZYva92bcQjqL0/XxJEm0izlIauaoUOoQR9wwmYLa  3GglM8MNdjYVTISPOeIuNRIkaSsPR7e55uECQtHoi1bqA8FSVTNw6KrSnE7iRjR3JET0EuImOG7o  iXY4QZ/ckn3/kBXUxNHgozQFInA8ozAFiRYyKpwK2qlWLUjaxyBwi0AGi17a/hwkKCaJKtoi1yza  eNBiMuwQdw2WNpomxtzBB4PrWQcDtWRjJctJUlDF+OcfgPErikbyi8jQ4AICwXCHBEbzLBB5AWmX  FvQW9Zp2FgIW9hapUPcWAw8SDIEukiVmiVdQoZyJlp0gK9y4FAA0IOOLw4zCBQywaBSvluQUUGSp  I5ojj+wEdJNGGSNHVNui9CaHQAHaiVbcIQwu3osD/05XId62A+mwAP6oUmr34BazeXq4CxRA2mAh  oxDRmhAFqLn+JiwKZ5YiijgB9YhG8Dw9EAB0TJhEPUAFU4RJOUg5C5gAOUrGRutV6+9NCwZDLQMt  8UzbcUjf4MJ1g6QS6WP/5fAqTloE69GQeDwOTOvNBkTrxwZNGHTrwbgCP7gcNB5t6z8qcJ7eHy6L  zAHI1oy4AAKkV60xOHACkjSLRgYLRgh1IzXyPDQ8EakTB/90DGEzVD0wAlnKtR04HTgDeB2LR1om  C0dcdBQZ75EgBFwEWpqQ9RnMIMm1Duh/+e86kUu/zE5odBforAARifL4QYF6BrgMAehqYUGIyegW  V1YcRmVtmiQgDCh1DyAbfwQAK8CZYvJjJIaj5JiCJNdDFktHIAEAUKShx0bsrAkrBeoYKgPBBQah  IgU9EgGQXQQGA8CTLv+nehaLCjc3MlIMyXAGFHSDtjqdBkN4jFSIOgGUmqYQILI3BgyE2zQ9//90  Zp7Q8j7z7+V9b6kQU7KTFJgUg36GM6pSlQV8VRlv9xkNzLyQDRuQiK1xBVmDfzrhEjEFuAbpuEe4  Bc/q6VkFGe76lgIFdXF9vBZlgHgMBd+X9dE9HJtOwLgDAraRPr22iPLpqrbi8rbfTvipufYzpxmo  dA1Kqxah9cwAOgfMdAhyI+AHwQeQdUaHLz57Jwbh4ACEQZemix4cIahPxnPJhiG/JqpQMGAr3dsv  zWS7UAQDDRqL8OEa+wPGV4nqolb2Uj5SGe7hIQ0vnZCLM6QHBvROB3VKof4OrA/I5Qd1OhAEyOUQ  BHUqEAjIExAIdRoQzytpFFnG/gZY6yDb6Uf/kEdWDemnAwP64pYyVOcQqDI4CJMaAiBa86lE1lQB  JgI4dAu9J/RIV23rfRql1jAU9Z0RDoJXJsmQKWr1lkwJSTkYZwoDngilAp10AwukmvLSPgWktvKk  cjQY6Xf/kgVSgT86693q1BQBA2wuKX4GbEogzCOpMM4LgvwWcOnKAFb9aBwn7UjG8WgUmwAg4iBU  BWUVARmxQVUf6QsB4gInnQPOYPEFdD3OfPHOAfRvMv+DfvwAdUCi1j2gXtaU5GUUK8AWLgPv6Ucq  BCgAVOgNAOkmAcS7aKIWJx0C9bHwBaCBFc3wFac7rOv+pph9qvKm7g6PFIks//8GLv9/NH2yqgQP  DVSuDADreYnULjfl6hNON1MSO1/FXZEUbNUfOR0AQA/r6Yv9pBD6EgoAgxTYFGQRchR6FQwoFmgW  DcYEFp4ToBYE9hMmGQQUZM6Tpc4oxJxanIbLcws8MXNnhDuDfv6HjP12skZSn5iaPerJNC42Cxeg  mTYo6u+iPTg9Bag8PQI8UwF5EVU/gdz4cAj5Cpk0+ItW+mcD/LpX0d1WMPyNofn8cXNl6zcbNyPE  fgNkMAEq5IvwVppCCxCqqAJ0JbgKpnv5B8De7ugG3iCNRNAr0gFwZQ4RVvyAjKxpCjkGcsFrO2wM  kvoucoMGsgSM3l+LXwYacIvciVbeC8Iiiy8sIT0uMw6ml54ANgg2AewUIPROLiB0Fz3JPA1dARKm  YoQ8i2vPlWhO0kD/1xal2O8jBy920j/FI3PcJgNFhJKLV1w9rPK1x6QpXka2JQ4mxiXTCtKEac/S  mybJB9jW2tzonYlXPNaVOQsMeisIZZoAgxBMUc4PBClLDwR6R5YCgpouDVhFCQYo3F2Nfwi6u1u4  5WZegF5fPHaMsDzEdDyKABUAR50kCDwB5HQbyUFrTwilUjogAKgsQwgAfS1Zhv4CAjAYuLggNIny  jF7ax+oA/YcANQ7orP2EDjbUAWFiTAOpgJoCADoPFtbXGxYuJHuKHInA7XalFI8zkjMM6yllDm+4  In0FCoUDFH+mzkQNF+lp/ickGicIAJE23BQAkrR4KFYUDoYGd+ZEORWo2ojEt2MC4TsD4nm3cVYC  ClZlyT9aG5uDB04OFAdQgwsAUriAyyh1HssqdRhLyXBJItZwBJuToEOTVpqoqlwWXAdBMt50SSoo  2xvb46GM2wwg29suAenXAUkedvcHEgIKyAF/FHuGj7KjRemQAdjRaQh1WFK1OwR22yklVHambRDB  p9IEfVA3EFoiUBIM6zaQ2/XLJplmXVWVOPz6DloxP3ik9PuAfuAq9AKgEwGXFwDpCkQA0oE/gAz2  h3sATXFKAwWwVPywRg8a3Ygx2aUXAHggL8fYvcRv6OiI638CHSqeAiShrAD7ltjcvVh/gqiGJa9A  J0xZkyjjkOiQJxstVtgV2QDcLedEJYF4DYG9oAhKb1plgwRNBQlDHBBPdoOj7NZ6OoQAQoHsqgBW  mswE3xclkzua3t4vqEH6UKcPF0IqDXUUFgYeJJDOiYZW/1ASkLwXGqjbyHWiuCSM1h6LtiCNQhqI  ABHGQsFjUJKNhl7/Fji+ASaJHvmOAXPMM4Za/wRYOOcERv4+uBc6vqyGfC7iI5YcXP9UWSJkZ6zH  jBr/thJxCMKKJ9iKO4B+jAP8A0gGg3Uvi0aQi1aSDcBUllyKRo0q5AVsB1CczgmO2waPqTw2AltZ  0gJPoktWUNYkgKA6HAyTfmpIrBZ10woXEa5yLuC4Kqh+ChH53LYlYIUEjbxgLc+fXj4EPi4rZD7/  NqoEZ15WKDCvmQ12rZxDe51wenB4BhlIcJOa4eAMjgRAA+nSlnL+/5GsughWh6SEVgB0V+fo3esm  kVg9YwQqBCiLnNHmlzwCl2gEZpAcmgIlWBK1DS2lR2SCUnPOwGgC9KeFySnA3lTpFRRYPZAPg34K  BXUv6wpiAz9yZotdifBkRiQoDmQE69nsAylim0Mmi3diJYvOAEBmhGiJRviJVhed+jk9YBiNDD0D  BSk9BAVqsu7rGc8NaRYPlpqQC0uy1euOzp4AIhxyGS4AddR5U0FCI8oJ0Uv2jNE0nAjrskanH+OA  N7QA8mUC65piDDJjmFJ6TGyVO2t6SgYVItOXUStdG1cmPA0CqJ2YCgiX6APp5Ukwk4M+xD3qIJEx  AgO3EGHY4yF3RwvCdB1YIIvaLPZYLCtBEzRAjPaGBXVfgDl1WShqKn/2UECyiKQF3iC9XUqYE5ia  f+td/MpV7WX6ymy17WjJ6HMFQsBQ/8RfGYA/KsvJbMZLfEdGHkgoVSNKBkzMEWTvAXUHoAmVugDe  DusRAJ4CAnUKEwACHRoTqEcL8rRAILUgImsBkigJoPQoCgvQdYGnBTanAAMqPwh0SE7tg8BJOUcg  dDy4NPhYERHWEC5CJemnkXjz4L4BpyvzEpD0NO35BPQbRUdOKPdchItWDD8ufxx8iCBhLHMUFFKD  g/2DfE2EKKQMfDN/KHIr/QwAdoJ8JQ6QAXIdRNKGJaQRHFcqxURHfkdU1igGZzBSUNIADUgl3iCV  ukYGSAgF6UoBAoLMD9VYyYPMNSrCydpWgz7sOK2ZjBSPkOX2mzBacwGQmSGS9th2Ac1E0bAADsk1  0anBkOw8dRS4CANB+xia7BusFXnkKGGQHYlG/jx6sDyjKotfPCSKtYveK2ZDQEfzEUP06Rs2i9h/  ETQuGvh2EbwEKzYGB/AXGkaNTUqE9th1FyMCrgzHBvACSV4IYCYScrD7yNUe6QL/SQ8bTUmQ9gCJ  A3Rp1UwsAiD21XGsYghkKi2eIJERTwj+xQNGCmRGE1YMI1JQZaUmu/0gbq+Dv7oVQCYJ6xkAZQ06  imvtA+mBWpyM/B4SVytuCfaiA11UARQCBGQEZPjrQBkOYgZZGAss2tSWzfS2XwJW7Hzu1V4ZQu6c  MBYqU6GyXtwBFrQEhYvwi1wD/BYHBbkIAPPuh6UfwVOa7gcAJCAW62kAvZb2Bwh0IGVC2lgMODFB  sPJclEj06xwqAnQKfhDAi1cK6+TgZ5j0IVT0es0D8pyGm7WuSiypCMmsxOsh/t8iKCIo/xJxRvZ/  9gtkaroAdmEE4z5ai8jR4AIDwUMjBHq8AENfyMDUDwtAo7qgkL2PIgN9xlP+ABmB6Zz+WHRYV1bg  QAf7wFhAMP82DgYBATu+xgQJIDw5jgYoBcsqmTe4JD/LBuMUxkXLMlTGHA1bBZM3TL/z4ohXsdL2  njsvDziSDVJujfe4/K/6HSAmvymoZ2+TlLDYCNjyasIKHFl4unAxjD4S5lPm+mqj1fbVRKCJwJCf  X3ULG3IiRXQTYJlITg45c/s4OR9++olV04UXkhbq9oYlU6BCwSLfDTv44BYYVqHOSEZy0AQwQLYL  0n0GuP//y960mRZ+wRb6DfAL8gtG9CQfC+8C90e3nWInCzm1K1mADCJr9iQpIot2E61EJfGDgOxI  7usRkE2ozOZAK9Wf6Q7pXlMBmfLZ8NlLyM7sEp2pTgPuA+wpYTM8kCImNX0afSgLhSCQaHvrHNYo  5LPrF4Wyr17oE+OidFkBfY1Z+YBkjbf7z3Oufycxe/gngLrbKUbyGVb0qBIMZCF0CnKjDMH/ihKa  cAFNrq18CWfdIMbuOwXptjELkB/pMrT4U+ylEqVG1SBTzMSR2unxAMp6dlThCfQvOSkHeTmDeynh  1y3THj7QBYcRrG9c8hMvoBpc/fe3pTqBUoFMQHslCqr34xtIEAL6vJQXbSqasGcJEOyG9E5A8kt8  DDko48jrCpBFG4kYUUCR3VZHnTF0p6K4RecLRvgIAUOobH7zSFNseoi4K8sie2xWaNxHdFSTFw4i  SDZBTRcSkWc5xFhmn6FKKS/F9h8u9iOtPWW6SN5Wr8CVNU30knTt/JHqL9bycvzEFAFyNtAEBM5t  cswxUXTtVPx0r/grqdkGXyolsrMELnQYIV3yODC2fZD1/hT4DqMKMEP2H0YwuvEFneMEWunWytaH  8akm1iP9J0jW6ya/nC39ZArpmvIWuaDpkvOn/iZ9tcj00m/uJvfuWun//+5V9Sed7szwDCSW7sUA  0NJTM5nw7iGGjlgARIvJEpBmpRB4V/rX8fOkA9dP9gr0k8V+9Nf170KyiTZ9knxCOEn2AlYCAxeL  N/fGCj9Qg/4CQkJ1Bx/rGZBHugFQRtaRdT7TS31e/gS4uyWBfv77AHMeg8oB6+BsMYoEzlYcLU5N  rq0pKyIjUwdG6wzERKUac2gh0fdSIdnnKetxETLNgGaEQ8Pi7hP4wvos4cD8e4Gk2dAAyfrgBO3k  zAdJqC8J8JH8wgqRApO4ExUk9QtHUnQwacnsDTvvxQ8hTFKl0gRQVNBUoMlntcmtGQRQNu82YTeL 

mzJHOk+k8rk4qDiLvkUUPIyDKzyGUusmkARi7Q+aLIYtpuwv0pq8fPriPy21nU391AEF1QBFWme6  bAiUjeVWKS3rBkIBXbcaPpXmjRjcFVy0ZjCWaMu0IcNVoQgmxB8LNHhIjsu57mi2BM9VIh8LH6O+  BEadIgeQADpFJkoMJkwfYqcrwAYAJEburiQCoavjuAQHKg08ESrH5qHrAyyZLYkWwATifXZzGXVt  L+ps8WM4JAI5QYekOTsjOzd1OlQOaQ1HCj8p7K0UI4SCxnIFByoRVgRS9ZD1EgCTThoujL3SdIyd  61TVjACMICnTBYwKZ6zVeESmQQyuFkwD5IrrtpqWBo+4TvnQdFMnPF1dLlsscx9EZ/o5ixxvFjgF  r6QiE1cIiZ4dK4Y7S1tc5t6jJ4kx9yf/Bjo8LsSobYyWAgWVIk9ZhDVUzPbJHg7Xr54TXoyZRoyS  8xaakI3rw4M35FsAAKEwRDJEmG0c/zY0bjYKBEiPEppCCiazRk0RoxAUIiIC/6PmwyIFPSw9wpnj  BT3eEQQAIcRfCCaKB6I4wSAF60jkBg10jdDRBg91QLDMSKiYnieQs1szOrN06yyxAqwvFvLCdTW7  DFM47AYLdI8HKQYJdCMGCnQduHcQEEtsASYqyQJeqNgudkM4tT0SAHYBoMEDwJMu/6d2NpChJAXD  7gS4v5/K2hoFcEuLHP2NBh4GYbT22qM9KPUc+xz8/mYGLgz0AeSQGQEAlucioxsZ6Lor6ZYAHhSm  vD38qZ95GjVr8CByxeUjDCU94+A4IQAereumkJI1BjYMAug1HyPuAgoIzHizNSY2Rgxe9jYg1XIc  AgBh3T37G9y8RHQPPf2EGVTrFKFWiRfrxl4MoVrr9mpY8EAHUARq2TzIGM33WMN6/nRMix5HG5M3  jraXXuhl0qwoHCikp/DEGJctM51OqyQuAUyce4uHpuTsCE8RqBqXqnEVqcdG7hZhkJZU/zaI7xXJ  8K2G6csYHN0MGPQY9ur4C5hTRvp0IQj0gNl+GnJR0p7fuTZC9j0N4uxg4g1hg2o6Ri3sOQpzQFCc  UYtHDrh+hRBPwHVJ8oM+IgUPILo0ff+LXu68MMGt0DBdb9WHcoXqiyuDkJ3QL2F0QwWHNw9EHdMt  khGLkMaLNM8WKAX7EivcYQtrDGcp/eAwWVRKdckVrpoNLUOBCJoQHBhlngJ24RQjClQH/zbIBOqS  UiAxCb4sG4eJhzChrYjwAhAA3iBKkEjM7Zxhe3KvcmdBNQcdAOs5q3YouBIA93AbZv6L2IvExAe8  tLX/cBAEDiE8ZwVkD4nBAXDrCbg+/RBH9oxe+JzC3QABigtykqO4mRUESj5r0STCJMn6KgQW2hKg  kgYxCANSdBT0zd1S5jwllmbxbF9YHd/dCRBkgI8OZBQBAAYImmo/r6GYbmsrDKF1wT4OJVkxWvjr  C9a3qUChGJellEwoBFEJ1AGXIOYPoFj+AU/AQDTrA7hCNE+MHgW1F7OvzpKEpGF960aLGxvwc8L1  lgyhiUwLk7i8owMmEMS3t5GKwgXAAAv1ZP9hkmT++oHXTHetJscHAHBdwAyDJIBt1e2pIpLKZfRG  CHLIFg4UAfpcnkfwCp3V8IXH3wz+hxQEqQ4V9/gnwzDrEEXg4CUABHU0RviPxde9r+bdAgWzYMEg  UMAVvASRE3pkq2zq9NP1Q4RvyfoiYRECQAEI0YlHCFCLwwUEZy2jcKHtdQ9ygsol9mU8fY2ah4kT  U+WsBPskvhMKzwYHiUQfWQKI/4giR7sA6SiONZpuCeiLRAYcnGBE8SqaBPpvOOyoVmF8rxjHhxiA  KKy2BbSqIQWytt8VIRoahEo+yARhpAAXIf4aAfzYrwY7BhTrnx2HZpAeXQodGW2Y0wD6oSdAMwmR  XVDjBbJu0DEQA2IxkIustqVb1pCtLui0SVOwaH98SMJY6QBYIALjCii66BMAUCSTF4bhyqr89D+4  jXAdmioQJ4ej/vpDMvYkh75u9MySpktxxGPJUsRbYCQxS+fkHVlh9Aw4g3DBOwGDVvqV+BhGNfo5  O3UFOT10IN52EJGo5LrjdfTsO65/qE44/gDrjicaKovusrGb0mdJLoKHb3iaSAVYEg47BfKodQyq  5yRBkpcA05NXgYHg/bXPjsJyHOQSJOgWnXQFLogII/M2dFYd/ypPdzh26Lm+uEQna1Mqz0Q4c+Or  UbgAAqma+hiaGEpsNi/CkEWmTPoRV1aDVkaWYj03FexJBo/MrOmKAZNBYsKPiAYVt/8DyIlEgk76  ieN38AYSImp3EHLFiY8kd5s0AmGOmh3yAjd1qno+MRIMctqmMYsHwLg9EAB0Xj1ABV89GxhZYD0A  AXQLBQOAN3RcxkbwVesEBkMEQUzxIo0LFtdaUeTknwUSBlBlalaBPwB4RnUhJopHAirkUOscRDwe  Tuu6BkTrtAZM64+grgZN66gkCtCadPgCjX4kl+iL8GSlF0ABH1gDALFmeRui5pq2AXoM7lJ6JHra  BaLZeguFSdaxCNPofAS0U5gmZDYqCmQ+ZP+iFjz2UJz5A+lmmer+ylZblCtPKLjIf2QAdEUowlGJ  PEdidDmjQgZkcjO3Cu3K3bjfWgzRFSc7tRIaJcUMA4y+BY0YwKC9GAQgphTXmgSxCI6yRCkU4giZ  S9QTkEdsFAuymCfeI34+DUB0Gn28GhH/d0AEPgoBeOsGkLhMNIqcjNq3hGPjjIhJ6Aza5XoltuUg  w0IjFbrCc0iVMJwppts175CrR8pGhSEU6V1ujE4a0IyPtZKMTB90+o/8qbh0uA6Nozx/PgUMgKOc  BgeeBgvSfwt8BT0BheOe15LLQMsD2+YeAHwTfwcJKxnDmIMuBwGDHqdIFRp/DXw1GxoBMtCXnArh  yNpYK9JdffYM3drGbjambQ7ypjJP2wAmkyHdCTA93RfEtVkAMzTFKTRS24aOSwcZyTTrLZCQHahR  c2s7FzuyKTOGbDMhaE7Y9Jp3fQQomGVMHMyLcpw5y053d22C/Wpw/EQkXG1W3pnF3FIvTLQEvrEj  PAirubx/MWtsVHNkg4oQJNCBiELaBBBUcw9m7NopqU6msN18CmxYTul/Q7BxyoNzzldylGlXAY0z  YrXF2dmTTw2NBqwHLVI0W5x7OiBDnAacbUt6BsmILcbpSOsD223QDgABcy62VVR+glpM/5AgTNuQ  WPtGxBU3/+0EfLiYBR6kMlCa9moEyRtmE/LdaRBKKsOGCMORCZ/XAbaLj7nY2uWPMPqHznQwmoIL  JFYzSSwjuP72CnQjVPe7p2OZ/Hv4ySB1a6DbViemSln8PLDZWcQ8kgA+NYzGFAkBSn4TOC4EGwQi  ehDbmqQF3iABMhgDRyQmE1cmUlTijDaTxLi4UAcMLXJRnzZSSDYXg378PG1rBqas2Q9Ydc74Pk4Q  1r4IdQ3/QBoQvAgAdnF760eDtr7+CkXcBotWCAml1pBL1dz4Uc8A3GWezAbM1Kzc6FFsJ3QUbAYA  Zf3oBkEFc5poAFgSHGpnS8dTQpuiIFaqke8uSPX9pFs9G0Kh0gKSJDoeGAyBvIuEiUATAG6LwOJJ  iOvkvwyhDBvOeHd3ZQeZclRZ2qhUWXjH9Wl9LbTs7qMpTe41PwsBznN+aXY8c81lrJDkA1ziHeR1  bY1G4BYkW/T8FssvAw8Fqlr+8sNVu3oPn05AcRqLdvwrdvq6Fc9HXlf68y4DOlI15hUFOO7GQnKK  5gARyAMQJ43Lh+KXRIcIX/aO4osTDT4CuppAGK1dYjBuHO6JUCb76ALjJa3bBVxtVDBWCaP/JWnG  Lcj+ZexEDywsUJL6jsMpKw+0UjVnxA1SxQxJSSmQQi8ntZdEk7QCl2viiz+g+P37AyoK+F7at66r  bfDOrrHFf1Jm3CtSYZ0VnAthBbr5cqPHBhgF3X+c7QSOXaEiBTlGBhBWMIQAgT4HbulyJFJYmQZ6  Cv8sHFynLBwHLN6R64I+HiwepOMHLLL+B862rt8WugQGBfTClAQBdXQHtUNsYas9RGjD7FC9Rm76  dVP6B7QTSZ2AOUmQoXo9SiuZJ3wZoDGLdzAL9nQJVmZV0zvAzt7/BqgFgT4E0YGJUaGoBQ2XgbLQ  6bP5TroKoOujSM0YaXN54QB5+nBA0nnSikIAppOJbHRaOFPM9WQpx+lkTNPm4WQ9D3qgTvhrIcD6  51aR4AgPmAKlXCxzNok4NQsWINSzHpCLdv4mtPg0CJ/vuAXvBBaD3Udkc9c29tTGSgUgz+Tm/jkg  BYrdNP82FgWSBpr69AKa6HRcA1sFArKI2gn6YusC0NPg5gHMljVsGxlkvAYEupUuBkXXplGQkjkd  IfhxyYkWVNT3YYpLfuuCC1VU3WtVRX8TTEtSg44SPpj1S8PdkYM/Aue1VD/1g9FW0zz4diNnEMBP  i8ZRA/A1Qnv/sGAiMbDAdBB0VsJANOtYuFiv3Xz+psyAQFxdgDmALz9VgBm1kn3wer4A1G4C0ONG  XnIdxD1TCyavPWUFSBpdR6TUir+JAO/wDlcHbXc0QkcL2Xx0SdIZfAU2NpwC/za0zxhfOKEDixYL  LWEuEBI8We5rXf+wt1fyB/FlMW9e7tYTiXcSkIh3BAZ3iCGIhushkKSNqSUKFk5Zuk5O+QZ2powW  /hqKBCrk1O8iTDCT8Q4DDAMKSrNVulVa70wakR6i+ItGBocOOQZzELha8ADCitYQrU2YBrOiQlJK  5W+T/P2l+ZP4ORGCgicHg2apInabAEaKR2C9jXsgTz0wnFJKPQ0FQD0aXnRaVP9rOEXFCweIKVyD  civSzyJyQncw47UgdjrAPRjrNyOmrFh1DIiKHIJCKqmoZXSVkZlKMTGIb4QF6X7/Fv7rIhDckBKA  f2AadBpUa5t0JYkcGg113AcFJlNjxhUAiJa5tCBIj1O3R1oLJNVcQFJ+feOKQwq4AhVkQ1U9fmfM  IBYzVtQMhTpQRhAbRuAIMxkKwHQsWQQ8CvpCfnxHFENegPUadRRXQ0YPhmSQRvgAR/iNksFIWbdY  +Bn+VfSJdvZE7PF0BiB0BqtlBmLTJTFUZuvcaEUKHg11JAYD6StpOAF9qpoCMCTcwDA+ICEnoIzj  BjgPdRmxVCkX8if9/DFhJwuQxhYsJtl68iDJasJHCHmCLGLkZ6sYmCd68OszR/JPdDGSuoJ0K5Ql  6Y4tugdqYSaIB/9O8CyBAGSDfvAAdceYzEVypDAtmSbrHFJVRB5EGDVlrmQ1aHVk8MYFsKMDkLAg  6LvC6x2QOCyeZTgIkIuskAAq+Ol3/jQY66kqBjgWOPQ1cPvGCnRFShkGx0dgizr+DhdExPRH+gEJ  zvogW853A+lJdQMp+tH2rpqJdgD0tge/Jjg/ImhJTMi4aLi0XmqQhKi/+7L1qPYdwK3MrADJcSBF  6xMjCJwA1pEmCI0AS7pEFgA11QpDfAP0Q6XyhhDEQAgx6xCLdvIAZjKAeP8gdQn/TvKj8mKAX+oG  DvKsVH/F/lMpU4sHcAwd8uiU6fD+kAh3kJo/dT90DHRNpV536+okd7x366SiBcBstEkYp/rAxUH2  gewEAlYtOqZ2A9cqi0YKK9IB0JvSivKK1IrgKsBSZYdjx4b8/d0OP05QjYY1UwDPOLF5zx/+H8bY 

i7YGgLofGnSl8/ARgb4VAnLpi97YDAFAPQ10vQ0UQwlAfqM0tnVOjEUJjNgQ5j0DbWCFixgSDCbG  QP9FUFjcCj2SWAGlAShnSYN+8IKtB4F+EJsFJaeHaPbzUZEjmAAbpdkPtSxaH/ggHFlVFaF0mg/I  dJ+ODGbcYISa2HUtoDYR99hQuHDUjkdlvmMrg9oAjOkug9IF2gFPEcnoT/4EJOsoF3oW/umNImrQ  DQYQSFBaBiF08n1icpSDfvZ+ffF/OGDtb4GlQK8N+fWBOLBwf1CaDAc2Jn2YjO9qcPhFpUM4hDVD  0tsiygeDAC8+xgUAdRm4wgFLCgy4uwKjwhUG1MQFxwYaGQD/C2oOBjUmzL8HAwYZixk0zFSrNOA0  yPfzNMo0Gh4z2DQGoQOxBNPgNEZlGTTKBUsUwJWhrtx4BetCpAMOAf7R6AeQ2lBAUIte/CWVSaqS  CXRbmsID9ACPCgvALjh+CuFA8JJ66wc+/Mg4h/45D3K0Zu2Pmh9AWxFzPYt2+rEC0+ZK51nEHgBS  hZgIHexOMAzJigYOXoyZRoa2ClahsBn4VAZYcmCAxAF9MNVXM374lyIKExb/NqwFBKo6JBb8mqpB  r40KpMEcmkI6KAaXo7AkYymjF4kWH70KPplzNLbMZ7wGF4sX48uiHSv9jRhQX7KvBvaP9Khn/6KL  XgpAMkKLFUP0aVs72JNXDv61NklQAhaarkeIBKyYDAo7DHdZCg7EEJUXSUcKDgzeBtWSERr6mgwk  owCWIDn+g5Igo+64qrCo3mq9MvoG2ilux7YJQ1cSkBqeQfjA+poxARIrtsEZvPp+AML9dByqwkUE  DF1rABLD1vsgIZlXDv9G9gEg+vZytsZG+QA1MFaKBQRAiEb4ld6D+BYz6DMEi9iOwkP8KdYzE4x+  CnbYMfhNUjUkxCQs0D3//7gBciZqCZLcPyR0fUJlVQZTrZmq8C2LarkKv0SRFHIPxBrHGgbrRMnn  kN6LAA5HC0cQdCKg8lcLRgx0RmSFhlqahByS/QvAfSyrDcTkVXzrGSVZasg8/ifOBpcoKNgaVtsi  n12nJgYmcQFP6NAjgDDAfuYgdC3/6ApzJ4pG5j0kdpogAjACAot26IhC7v8nGAyLXujEPiaKAIgg  CsDepHXNGcYZAHdP/foI7gCpMTn89Op5IVvs9EzmaY6PIBjJDJoMciWD3EieHbj87ctz6YYRdf3O  hDOf0erRLdTsqhJfudLy0u5UqtLy0u6rmdLy0vTS8qnK0vLS7o3k0vLS9AC9MKfICFGI9NJnPYob  sgpTlQkMk4026xgVEYoHCRlG/EgEPOy2P3UZXh7E4/IYFa5lddtLB5ATK4A/P975dPQGKtqRjMl1  EFMwSgkHYJPHCl7HBrKtB4/zUBmjwAW4CwkiY7i0OiyTW9aQQhzrKpATix6yBQ+bIL9aOzBjCDsG  QHzQdA3/TkGnxAdyzglzHb6g3gWLHP8EOaLB6ql0ApleHCEQmvqJsQbT6DEGVgYrBhvJI2f4waGj  0gUXoNbyACG47k4EIh4IAHRNuNauzAWcAKP8eJzrZj8FDwBhQv7oo+bZzjJSiTYJmukluTAGJUEP  woZaxwbQBeZAmOgJ6y1cQg4I64IPaf9VXYkWbrzYBTxnCCQtEHMGkRBHA5CFCUj8H3U1gy6hF0BQ  uNpK4210H/zrtCC4kah3EtHENvGyJybGaOiOf2YG3nsghA6j1AUfG8Bk4ffYXhLZNoZ1JrR6BILy  F5ow3bUMIiScmmwBLpNVZQY7zrumUtssNVgxTegqvaz+vTAl171yKZYOWieLoXbqL5KPsANe22eG  P9wy3C2k9P+9zHUDNs4kaqYdSAKeORPUExWhBkB4DXbcwtpvW3Ju5/LwdTGC4o4BZFI0FJCY+pgu  /YA4xZqVFDGd+nZneeVtgimcMfxVsGUwigAq5AEYHKVHDcQeQw+/AEOGA3b+Rug5Nkdz5wNJnFX3  0ZgEV/bqvv4BZLEgVXbmCEvxfiYeBnce4KUOQHcYod77+Ek8akkeyEU9chOvygh0wpEbzummAFdz  u171fPimd/66dPh35Ls4GEg78CNfdhEtnPhA3WTGHcYq8BhaI3Ywdh3G+NjYTvfGDxBoxiUHjdTD  99jTckhwiLwCgG3/cAOH5+EGk1r/QNMJ690YioQWLSq0UEr+OeIZuI7+o9/rG5C4dPwEORmxCiEZ  dsgOk/JYUlqkJl6CgKkcDVsGQci5DhVSCzzrJo1hG/7lt3tO/BKIBoKJgSDZRemh4GfFwWUGCZis  GkBEO4HG6gWLBBsExwTCG67RxjEEcuOsYiimcVFDDaHis+QxZ4wCmRUD6fgABQu3JA1nxwRzI7e9  nn3+hy19Y4EOEEb5h/I+l/Q+t+geDvh+cMMy+EgohD746PVjx4PlOj1IhcwMG6Ho0QUj8h+nGwFV  gQQEmdt2NaMLwIUW8rEO0+A5A/Bc4gPCAwbWHkqu2DH0iVb2he8fiYWJhUP/TqeS+k5mJhH28GaJ  BANmRQNkDLgF1blpzjzqTcDFBit1KDvw67sREsQr0rG60rhY/sl1+PfRWlpMz/l/vOER4Hb0n/aj  4lRjPOSJJNIcqgTgxlLUEiSkCmB43VR9RxJKKu0MMz19DDYo42YALsgEJsKSuA2HXQjmmqYQ94aO  Tyw9///rf/Ipt7BNgOwC0IrKHlduIKaDf/ACdQcsuOnrGZDo1bP+BPxuXNdYDN5KVvexZHSh4QD/  6kQoo/6xA0Aj96ITixakExWL1Ncaf69WlBNDBLgo6Zrc3twydAIcXx57fkbm6FmpQFCzaisgAiBU  cvHRLKdFHRRABFrmERCpsExfd0iz1wgYUFk1uwJ9M8QYi/gmJ/rG+infVsFCkSsnBj0KSl8Jm5Bw  HwFkul9+A+kOAT0R4yMYDeEAPbxhhuFUuBE9QxaIAOoIo7AS6TgB0eSQCrIKLpCbCgIG6SQKtBQa  3OQKtgoQJjcKBB4GCrgUUpP8AArACvKb3AoGHugKDOQmCt4KCArUN7kKuijKCrzJTQrACgoetm5y  Cr4UrAqTm8IKogrECphcIAoQ7QYkAaESBnhQmnZIQQWpjWSMoB4OBgk9FgjR7kb/PRcISAyRCBjn  xT0eDUX/JwIoPTcLdv9/Ij3RlCMKRCIkStEyJjIrCEoTTS09SwpUElk0QwhgCF5Mlz1nNJENSQ1r  CF//TLIU66KVK4Cw5pLhjBRF8ooTbRMJkSjImusSu0AQ/MQezgRtylOi5ETp8oRpZAY+douQgz4A  C4GpMLgWBh7afrAdtKKKhxUG5GRuuQ0uWw88AOBBcgs8WncHxgYXBjrrFGY8njp0EQZcnrl0CzbG  h0dcqWxMC7xYRH4GS4nYSerMEvrckgihwM54oxQGPQlkNpmTCQjLSAHKCb6KB+sCsDpEN6LSEhUB  pIB8FUcBotMSy6BF2RYHkHgZ6sk397BLxgCAdSgGkkytDooPCJKBpif3JvYHEKocFBAU714NTV0E  wmXnnjBZOUYMc2K6DIlyTv1C/ciCqAJ0SvYy6N0ffh8BQatk8FYhIBOSUIvIzuPOwQTGLTDsorxb  DJyHWXLGIIDMgAlkiARQBxED6agAbYhG+jwHeCz0lQA8LwdaMI4AewsGgz1H1Ex3Vj0RdBU9Kjli  BS5IdC89AI99dDzrXoBO/IBn66iQx+AKQOv0Bv0C6+7xeAYB6+gSIOviBrcNEHYGCOuPn9YGBOvQ  BiTKH4YGJMQ9SUfRPU5hGAXAPVIF3z1VBciG+T1XBac9WAWySMF5VKDEXg58eFdOadNQCpMQuq4y  Iab0iQpKc/JGRvDow8jgerbu5ZKWdFtbsNaxHAXghLcMD0DzC/hzJIgHvAgmqYA4/RiITLCLw0Aw  BlYsWJmmLBgTOkwUCCB1Sf9AWz+toDD4OnVjIQRj8qX6Y/X9Y+noGEwUpf0qaWMc3UX5Y7432vVA  iST8qnkkmiQ4lxr88oTUyDBV9Eow9jBq/VettyGS1rcV0iqmtz4s6UgVSRHx/LrrkYRAfe7IdvYS  zNH6A/R1CKaaOgia3dGgIoeQ/zbIBHOg+zkwLQbLcNcpCACSNQqj2BKJFtoSO4m54OrgBAB8EX+e  EMQvAHQIuNDJ1X7IC7V+MoSwUy0/AEZgTgU//S1QjLhW0atcTFsTxocOAGnPAHfGVLF2i/aiLwh1  GjJWIZws5Jo8UD2S6wg7psl3NEqWc9sAAfdEXviLw9HjAwCAtYu33BI5dvp0DQv2dAnDLdRIgy4h  ct8GXwq+YRLEuriLAeOc+jmEL3Vs6IrxC2s87MvNBmHcL0J3F+tzkDL4GYTiEokzCOQElG/I5gze  BJTgEtHVaSBy0i7HJ0IqM4TgWgwqqV4UbCLTZIpXrrY5VbXDII0lhyQeYpb0D5JCEwAbpw3imcCh  j1E2uBh0CBujST0bFCx8yx1AWpIAYtgoC9GloriWBhOTeBsV3/3JmKvcyR1n15Dhl1z2oBRWzvrS  kBVfIjKWwwKF4HKDfxycueUDAZ4E6hA++hT2I5QHR/cAHtwDRxImE9wrVxQtIdrMbv6ki3M0OBgG  W0YzKG4BgOSn+IFm/N4MAP42BjY7FHIdjHR3BTsedhYS7v4JKeMKTywxwiHeafdnHkgWtWMKOaJh  mgypxEeyZXc35lkgJiuMQIn+LwgDK+61YiDfjAoQqppGBMQPegs8GStk6moD/lZE2HXupbVL9FPv  0kw8GegS7HQQuHr2RUwqSx7HavSpLiAGHP0hCkqZKy84Lw3LUEAtFwYNkRd+JQAzU4vsCe4BAhXu  chOQgRXsdgwL7McFSomEUFR3Kez5/VUG5gY97OZzXLoXVwn2ZtkL+K5ydwImyjXn8CuzaIJG9H4d  91wEqYtOVQwryIPXbttyZYiCTBIEXBSLxJsii94h3cIgFsIrwiHl/A9HGOCQCBoOFFNIZHpfjNTd  JgWYrU1xc96aT5oUGDIGNRNXGgQBKLk7Vy58Bt4pfyE7Ryx2IScsi94nLjIrMhuuHTLe0vk3bYAa  gC5PXt8YwC8jcxGLVgqWwWBHgfv6VvQL0nwOIfyUGn91fDjilBh3bdwBdCZnQnhfC8x1dSINECSZ  +4UfIr+yCUuMg5D/xfxQ/wBZM48pFiS3Kfn9cvwqeUl0yoL3QH/bBB73ZvLa+gODxg3K/Kz20JnJ  CPIh1+7y+Hvuc5F4naf8Ed1yoP9r/3NjuP//mQByG9B0TZJdhRCSDU2DPPgZNlrRESSJjBaqbhYD  S9RDVg6uIjxX8KI3P5EtdyH0cnU7yIuAdTU7EBnfO0sGOxCIFncfcgcYdxcEJGlc+5BUafjuCSsa  AZCopk6SFgI7Yxoe7apbx0+yoAATDQj5mWBb/ydQsBxVb9CXDwXaBQwgSwQDFcg8BwjuxnfRXf/x  EDqz8aaDDAEFyUwLAFgP0FtDD0OFkYYe6yJiy1QNljTpFGia3hJNUaYUIOYtatQPEAqGMxCkfP1d  1UDK9s7WqVL2QWBaJ9fY2z00Ni8hJEHtZ40nV/hQs18WxDCkoiL+dW/pXzcY6f8q6wWQxhcao+2K  BCrk6h/IAzrGU1BEB4CCJj9+DCYhF3IMGlcahgoAKYtPECvbO9NyXXcEyM07wXZXURwrQ2vxURhH 

mgn09pRAZNKsBsCZrP2EXkz9+GYN8aZqi342p1wTi4cDgh6f9N4KDF0BoxExQWn07W8AQ7IF00gN  EF4dGnQS2lBTOdqFWhDaCK3GqCiZK9vcrv//XFZfMJxdh+HOWcPVvrHUoTwIAfTDgF4IbhP9dU2B  DK6DfzAAdUMmDY8ECjlstwTpMFFmJnYE3ktXIAQkBDSUhAdL/0NKgjeAJ/uIuAZj6u2ydqaWRhea  gjmCdSc5RIQMBHUbhiPDxxUAAPgt127J9ZYEfAdTs3wGfDVIZFwSD9LCNANxePmTgDr5Zwp0C7+T  4TW3AT9OSkQKH7x0CvDJX7xE+RWGLI06pN52TvpiYgINzoUKxGsCMCC2UTtXIn8XfBhSNSBzDx2x  2GdGdEAI/g4eCj9QHqly76GGqZcKDfp8BFAh/FMU6RUBABgoaGZIo+ZJwchCxrusWCmjIdGrJAHb  qyQRJD5UrBXAkxftFDA2DfUEHCb/gLbZ2jf9wR3NC0ACdAqAFCSBfvqAAHLiB3ND9Pi4IgDbsxw3  OZ6+JCR/6iVRKiJ0I5kHprgtRwj+trfmhQ6OAbkHSpMD6UkMqeGDTNsbPWGEFGu4jg0gLE3z+rQM  IhQxWW/0VkkhS0oFFAQYI+RncRgSIxUYFboDsYwVg/enFgDrHJAfEJU3X9C0yosZi2riUDmZmwF8  tG7Rb0BKAGGBB5zJPcxm1kDgpwCaqgDaA4CQVNsCdUrL0mP2AZTAdkyvdyDY72Q/A1xhmqQC3Ebq  ETsIdgsKK/6wI+vSPf7tdosDHNcB+Hh2+NHmg251vHp8CQKAkzmEiAJzBf9O+HXmtHQaE3Jtn8wG  NPywpA8C/4wxb48bUh+OGxO7o0hEEK10GY0tES9I9AvC60qQjdyaPa9+K8ETowTuIHYNsQgk8Ouq  YwmQDUWyBIlACbkImpgCgeiOUAo6B98GlknZEBUG3fqnCaFIMg5XVpBMRkmf2Q1wil8F9q4XHAiQ  UQVRA0ABUPJQNVDyUPIBFSAnEFdAA8kFQACBZKT+0ei8S+us9IAWX/SoQF/8X/TAl18a3JUTchNS  4dRiw/oC+i1gqs9A+ECU/BNyED3l33T2PVmGcJ22azMQ+LMLQRioDIN/YmEEgE76AYoAGT4ZGSaL  dzKD/oyoAXQFBQJ1IBBi/d4mGSD2ECXiXvxNUkQycQbeaHTQCGI2EEIQF30tsFiCavWbPI3+A06v  BY3+bf6yUvjl+e9FXfsILCqhIlMi4tQYn/v0XBA0NMoDg3UtByIAfyZ8AAkIJoF/IAAOcxzPcUQy  E7gKpzCGBLhXQRj1adqWfJMHJsID6Rm5hGLrDmqizPYoOWb/4cwSgX72MTb0w6H2XzAjodrGkKn2  Bwh10aLAoIOiQST/672QCikmI67dmK0kARKL8GQyowPGEsLB2TTpeAFfdbcAGwCCdi5qAQPAky7/  p+7QvxGLHhwF8MKodWRAF4y0ANAGJnn6JhkULB8lQAUfEHMbwp8fEi2Muw1jKBhS+AUencIaA24i  CfkxzgB8C0tNlIXBAE8OToe1ACYyAXQRJAcHAnUGuBJa3fBoXXiIaOP3aOmJAJC5q3cTAjC6jgTr  d5B+GAXxZWLfYAByvXT96df+kAwzIsQMywyuEQLUkSoQAjYSAtbVuBEIHAaIzhDAEeICAtuh1J4G  o5xBwhqhIuvaKnSrRbJv1P0zuUxCBkJksQjR+sLj0dgoAj61J+TQsoISIAzS/0vYCizJrjQm97Av  hmsOt6hdGxakBllCt20EdRrRuLg5BwZqBjlXAnUJMdysc/dtO+YIQ61OQAjrr7uv9oRraFRzIMBU  8joGANkvjwrtXAS+bgrdi1dCL7mDPrYGvRtiE1qv3WQqalJQUiISuvpVGR32IQtt/za4BrGoPhUM  qDQ7BhV0DMcGoAbEdrpUaAnHQAYAaEdQCFdWHoN4BKR4sJ0A/oQDB0iK/my+7YWnWQau4rAG0ZYP  0dj9L6ggnfx1FBpJYFUH6yqQiXg5mot+/F/nG3F23wg5bsbCswW0KbveaAmJ94IJQmqSYBvP4lOm  RQ/1/yHMuAhWoayMfZz/BgehqIYH+IWerG8jWly7Xf4JTwkKD/8QqvF2/Emi7EZABNInponacFJQ  3pl0AfBKs8qJ5SPB1E7XLH1KfJOEA6iiFtKjpgbMg9ajOYndodAFo7YqkqU2pgZEbeI2ok0CBXbr  rYdErLYPd/fILeTREqKFCkR1FVDC8kEYInc6UA4TwEehqplytMzMbbQnAQayBgJW92sGkq7LLpLf  nLcXEV1iuyzHmQFv4a820yCv5zACAQtWZuF2H0rLBg58dkko6wMsQhQE/nN30qklAa3Tn3yt67xB  lFRMLioSPKX8uApXCRr9uEItev9wR6llo6ijygAFdagytlX22KnoQGLAagnELqXwJGA7/FPAC2DU  qUhQBKQGqeSAq0p59QSwBK4Umia+pKZKyv6pZrYQuhAPJaxA+6GgdPrQKqED6YwAGxVjoY/o2jAY  i/Crojo6+rTsAjpOm6o6BoyJSjodOktmdOHJEfsNlFxE6zl5GXtnYQ16y9QRJ53yTvoAdNLyI/xZ  8u/62Xos8hkW5mtDHrMUAjaQBEr5aWtq4to1NjCjFq4xJu6krEA8oazCeRcqRQL/dSldChAl+qg/  u8egDYC++voDZRllOgMUkADsenRSndmeA///DGpEN4M7dAmVq1ZzdiQyN6igmhAcrBX31hbJLjfc  Q0KXuNA3QK7fkBJesS2EfqQiNdQ6ae9aEtsAqs5BAQCgUlOaKB/ZyRwJRAYHF2QORJbpmwDy0eYC  8toVQGbxaILJ0gJBUbK/Z0r+E0JGN5rEBdZYPQawWNvHRwJgLxvCUxIOpKT5DQoW5D5tVxYWBBYg  PkgZTPhRYAZMBIrwe8QhGXryDujCTgjnMn76hawpXf+XLF9kupzxYrS97AxWEG6bmhoBdqv29DsG  FPhCAguKHSrMZahkD0wCkh0CX5/KL5ok/dKzJQUYRK5carml9Ct9tMMLQk6+XvRoCpL1eAnxhDyL  E7OJB/yyJ3UZK58wVevX1CxUwruhBTea0gRAlmIOJDkcdcgzPK4/BnW/KIuEm8MFFuZHBEh4lARQ  lxMJKRQQG5jcUllvkwQJGBly8AICmoyQ5BD4OhsCoRgFpqIkJGgn2rlvzzwI6qoeMYGDdwRUNgYu  35qJ/cvlJCIODnK5DiYOEA4oXC4OEg4ql98OFA60MJMujGIKsKYHUBkE9PJSBCoSEn6fDrhXDGFG  ClSSTfj58wUW5Eg9kasWhxYBEwaJwAMgOGQWHmQEgaX0i1ZesYtqM2zadZj/GoJUQmQJT9AgDIlQ  aDb1Yo0CTgtkf9ARoh+EHA7oWPyAkl0W1CIoBRYImL+6AABAlHQKBlOaRiUVBLZwJ8weMATgBN4E  mrIIwhQgWIsOmqAsKPae3I1IF+QGfZh+V93kVmaRIBihuAZJOVo/zoPU5wFwk98uUFyjUwQUVsIw  FLtZLpYuVqXUeWVLRxx1VI/AUC/w6o2NRvoWEk6C1UFQRDONI9Ker1iYWLiaBeq87F4D6F4FAk5k  ktp0RHtApoYTyUIZlesaRc/YvHvgaARmEl0uVx6yuFX6igT/ZHPbXZZWRsxOi2Uq8G7+Z8PXRcm0  0vgVqpv4Bm2tS6mG+AaqaPj8+EAfFijkjl4EPYCYAgIm75wQkAoRjIL3xgrKIAF8gllNRrnvWCg0  LuG2QLMeW42XCojC6wCD/gh1SIUHQVFPfnMISE7YAPcjcZUY+CWs73owiCqmDd4gKhDrMpDBRR66  fcdO0+sDsD9YLTkuSATn+g40DIN++CRzAHRBTCgMbvrEG7BcxuEmKuqIAIbtjLg5BoGQADy5HABc  tvA8IHQEPC110AXkECbGACzr1ZAXckGaJvCagDggdV4bMFA5ROXrTZAjc2Km9gdF76MbXQkRrGLy  CACRB0gedNBcT4MKuYKJ/AauCpA9GccHAAGyUBEC1sF92kFp9qm4AemEWAwGMgYLRgh0O97kPqMx  VMJPYoBaAFX0iVb2jBH3RgpYdSSPChbk3K0CF9GhlgiwdmUklAfABvgrQp77IQfXdYDkg34aARvA  QFAyFfMUAxLnkE6LF3dRtaBSN6aBdF4fOEK7TJoLfLZCBOdipwCDPgTebHARJrAmdR+Rym0YjwCP  9IqamiNSoC5GCjkGUiUndGuJQBs5yqmfxIvWSAjT9ADnZKKYdDW0VPtMZWMvkG9lXs01sKgWUWao  6wqQNZKKeHsJiSdfm5TMcRJdkHszuxf8LCQudYESBb0ClUT0SmAEmB6BfpMXDRaZvA0RNha0krpq  AAjoDlbHBrYE3QNbZQC4nDSjcOK+BIwewMvCCUMQoc71vyJzq4lKAHb2dBx2D5wAZEvyCkoYZzF9  9s+jCTRHYkKLdvYfKZGL+iHyFbMhsZIE2mIcERENJaOzmowCnQD3/R9pnYgEIw/A8yFry5o+A3nb  K3Y1HFZvM0feQbQMUvLYX94meCo43hJ0SLZi8ST8w/hUwmv4u9lUfA78QmWzKiRvSNky2EimsBJC  zPJE6YplaOgvWJb0De8WpFIOipAdNwQA8gNJdSsUHKODJQQQOv6FK0qqHMdGYyk6ShpzXoOVYNi9  mWPd/zEKyQZTbB7/eXloJEaHBVRkFFZEFycGBM3cMJCm3BtTUXCOmejJdPSOhrAEED0EKla+Nr52  m6YNTP0O7BcRBrKEvNtBCQMai/B8YFk7QAIDw4zCBpIS8GXy6fsAkOPA+JvrQVFxGQPUe6lGElg3  BQhZE2fLfc5xFfyF+OsHlB16/Mb36jkPcrRMH6F1g34QUO/dgABlyRxWdWaUEL3+S19U+k8QRhHw  bTBnC0cCdTdS/IzWeP9OKnb8K0cyKesbkIkDZ4sUK+kD/5AGZLYMAoIMUg2WDXAGpS6wLrEDkonT  5uZANBhxDw0Si1bksrZAMAwy6l0UNDleQDZ6dCW9RdpANxtqeDyTZN8Q4G+zOKIGnnNWsTIIMv6x  aEcFApseaa1x8jiQCicG/mYlcAgjsAI0DlcOXQwEwcEC6ej9kE8Bc0so3v2IJlFAzuAGmCrsiVbu  Fex3ghU2ozR1EZTM9E8uoD5ELgB1zQpDKrib/Qvk9TcyBDCHI5YrZ/0t0Wsui3A0DYF3HEFbR//k  gewkAVcWQcoHiYbs/lcCNkA0/hndFpsqd1XkGZ4A6i1ABBENLuT+HEAJ7v4mLOsjC+5gYKhGCotW  DBLg/omW4hZwTZ4IigFhqv+O7vT0hjkmd9R9JChA5P4rUF2LXwTEdgocxG2LnhZkzRQHbk0djkYM  ob6lqw3ABhl3q3iWCqHCGcn6xFCJAxpe/3cmuMbkywYeUCZgMxR6x5ZEVW4XFAflX5L4wJQIm53w  /k0K4LloGoucixNzE9w4Af//DxoYiseG6v4L6xGQ58aZInjVE8y2OI0sA3YEALpvi87R4QPBBQIA  QQIaP0tH5kE6UQYa9ikLGvj+tLSCO66Nhvr+Fjq3tIveSjkifj4Dx/KeSYbcPt5Y3P6K8+OG8kqH  E/RrHzd56QYBagIkbRTDiVcQQDsHy4m2gmfGBgO2FYjA5gLCvhHRGgp4CNe/OHXphjtw4hvRzyvu 

aswxhp/EKxwDZNO2wysNml8CzKvcGuYa6PcFGsrN2dy6WSuLd9UrGTcBPQfx3FDDQjxhGGtO+P6j  PYmqGRbENdKmYDsp8jc/KfQpvimXJE7p9P0WHFZRSRsBACi4KUb/IhCCFJyQqH1GAQTQEAtHGnRG  LegaUjaGp5gNPEk8RT9QIAWL8B7zJNDgvYnrM5BGHEYe/BpG3iu8ZdImARMREyXSIVdEB5oRV8Yq  0dwl4AUEcPBxEEXrGIt2+OA0qvLNA7Op9gEK/xwkCiX4QqPnc9zlVx6SMxBFd4vepANnA8nUc1Pi  NYiJvmFKBEobnuFRxwck1zBKEskbVYgyBt+08YZgP5mqPfEdhSKHuh0fEfZsAaGBLrTrsP927qkY  A+z4CFnB+9cD6Ug1ibTsCz01BwAGc6BTxgf+qgJUg7YGx0UO6A7HT4AOA8cyGcQ0xpeVa9XOmwwO  zknBWLNL8ospUGZcRugy6pIoceh+8InSLfog1A4d5B3C9frkOV5CI4kG5AaHJAf/oIEB+Hav8x5I  qVBInwfhIaIJLzvvqen0aE/+kDXXdLQJknoWePD6rqwKfzJfL6cp62PPqcqydzSUxHGTcrtXlUEY  dDoGDP91JEpfQ080vNnuMzKlqR8CjTqS0V1YAGGJPVpj40CsTqJ1ViMihlaa5NDpCqlbyfXEzlMB  8CKE6qBvpP+xZxIoX2ISyNnUlFPRdon+KVpRkFVBpQ6lAwDpWP8XwUyDeDTQXUci6xMRC8w5ZmPm  uKcB1JuQHB1ASAUc6Zz+Vu+UpRLGRg4SVt93ti6w3s3t0jZ6H+tiqUUMhZyQWcby9cUTQOLPJIl2  9nMIuYTrII4Wm1thvHnhGIqBkPgwKJTZYjLFnBEvBHYOBq8LWAkKohWHpQie/w8pevreJldWg9mu  3mbgFRlHGUcwXxkCMr9OI7yeLTkuEUcsOYcHgCRYAXVkE4YyeQdgLlpC/H380cQ7GlMRx1oJI0nL  B9rWRDLzBGKt/b3HpaR/0f6Su3KE3vrIIbY2dUwggyf6G/oagnXOxGUG4gbkU5Oye1e/AS9IYhDr  RYsP0rVfhtiPDr2ZKlkkXer8z652JKmQNPr3jP2KiaV/xjHs54xJNiFGDw8NceVxMFaSJprI9wYb  dQBW32vvElXoNZ0V7hXwERnsKn45tIA91ZoAObkIkgmoAAUHiaWmAfB/g1qz+jihQAuJUUeQQN7l  gKMoHkFC7kIqHH7uKQPFI8TnE369EYnrMBEixwH//wX2kEECBm/pmQCQvoAckuykpLi8RuY6LOwY  nAjy6x828jCtnO508FlxrLZOHfwN8gB13EIksyfmc/COqAQB7j8xASf5nXbu7/7Sk50gamAHyC8t  pNeENzkqdLAaVscPAJhAAOmjADzsYA2N7nktTKtY1GRu2hTcKA5Gl4nq2jP6OZOtN94y4Kb6oyMH  Artz/3mnKbx3WC0qv5d2Xdj+7SJJkLuOLENO/5BSf3tdtgeJGiqneFO4Neh96pGvxbGwxoK7jPV8  D0zAAGr76SwDQRi+7E69Edr+dnYOBAIw9IIcMAwa79rQHzDemAIw2jLcOpAw3i8wmJuQ/gUGdFKp  0O87iQe31m6j3to7mcUFNf9mlEX1+H2Ut0qQgS386JQGLNolSVsPHSBJFt4SSCvawN54yf4r/qdC  WrjsOgEuFf5I6WgNuQFidK9N1ZDWNsfRRW0emv1sgZMebKi4NxjurChO7jDNSDr+Kv4gN73YNRCB  fgLYSTW78JBOXij/A5JNBwKSizABnewwCh1omg3RMJEhLZbciyGEDy9D8leR0F9r9aYw4gk9siay  U3MHvA7l7l8yX6rmUuvu69vtSoy+Hn0TtVCo//1u4wk3TSdNqRIYGEIFORJ0IaUXsjmXNy7U9JDF  tevQkHPGfVYZl9wBdSLRU6IAdRwzocyJM2HrZGQDIn0aX/dgJtiD0gD32hsKGwwZSJzrBY4HrB8L  Rgx0F1ovNjUZSFlIg25ug3s5XkqxEi11JFvT6wgiGLv760ucHKrVAHNKCgBTEVsv6hLm8CWaZfYf  +IIqE/alNqBnCwQuAzRy6TABvLfCYWjqofeGhVCT26wSYeR1T9xXcipA+F800eMD2I7CFrRj9s39  fKDpiez87ovyWnbyGinXV7vvtWDNFrIlpy1ftDYlWqgD3uQAPdFCy4te/k/Fx/YWEHRckyeMgCAp  xYKGGPx2vaXrqxQIGNkC/P982Yt8cvjR50k4SBtBfw+8kQxQpGCJcTZdyRAKNAhQSNxoEiC1dyx2  EMkE63YJoU01x/QQiHSD7AJBoRgFE4RyIHUTPdzEIFznmuwbrBV8EkRgkBwDeAzhIKMp7CaLXyDv  6+HMNrtcMUzexQy9P/V/WELyNfqPi9gzxB6yuYf190B1NVVIn1Qw4jagECK4FjFANZpCA/f4EQJQ  uJ4+1v54Ag5yVLYlRzspO0SuVf93AowQTJ4PvTy7EyWQX1rrDGZaWUilckat/ytYkwooDXA1RI0D  AK8OO0YKdQU7Vgzy8HQ7KKMhnKA0Hl1lGCUW3Q0swk+QBn4YAKYV65UjvgIfAgB0AWmleOZ/LvxJ  V5ieioN+Djty7ZWM2P1wAaxVrdJIk/ebH57KQ8PK+p4L0HQPlQBmr/vvvaYQp/cIeNf+G93t1ACg  PVkmgZMCk+A8UyvAo8AGErMWDUlTx/ZiKnZ0PtioSTqK9EacFv4QnHVXNqrBEBIBoxTso0GQuBIA  6/K0LJCDQWCTtkLU5c8mQoc02MK4E0O48mmIZEkxUEP/gHJRgFjlXH+AIV4RkCxGywRW8QgMLIvE  /AqTyR0/Bp1KDwIm7koiARXOZN+W+sbaUQd3JAiZBq/QV0C1PDlpMUJ1VbqTai5TlbXL85TNl+eB  AEbgRLaaQADZCTwqcodol/dgxB8yKooXBCjqAiWO5FgSK5quaqgq1hHivi+Df2Rk6qgOG2IBT/0b  DWQNfu7Ii1bntehHaqhsWhDGi1HwgMqLh8YLi5fIC+SFO/w+EFstl1CAWKea/gTeIBrYjJZTDO2L  yGDAC/fpi04IK1DxC4lPDBB/CCZvVwoLyeObTBiDEAFN4QURADVpng7iiFcOg34HH0BQ3+ZFPUUg  K529FNrrv0iDgzZLNggGOuQP7gW8GwyLqfp9WGWHulYO60CQojn50WV1Bmd032t5tqTeSWQSnq3+  OwmeBla9kXKhnBac6aR1QtpHckUwELal2ED+ECbEXxKlJuNHfHglFJIejMHcdBAIOdHmjsEvopIP  xHQSMQK0NhAMBA4MbkGf5JqkBVSxpQaoT0hEeHcSdYApBAwMmvQDtxAjw0yDBhABgxYEhhkA8tCG  EUPQI6+hBgyr5FtL/xRbC3IHVSKTL1gisaqercAphK3APoinGANHEtAUUmX7EZYFJfKgdAyUg/oy  N4MuMgKL7P4Kul0FWgDxAroIi1YKOQzmVvh+josAfAiN9gqJS4EAw+duDApbBUHxcLUSEAGp9fqa  enMIJGf3f4KjGQRlLDXSXqekibwlpHxYBVTZeA1qcDgTiRMkwiUGBo0GIEtz6AbeIOlp/5CQW4JD  lC4YzK9qCQr+mTqscDUFFnCxAtPmgcZOqYB/xBybmkJUZIkGuP90qomcNBEKUIgGdsP7ceiDPgzZ  I9M1iZr0CoDFxgKjEVA0gVSVNxElGzgIGwg8EBbwVgwvEA9iKgz0nsEehFBqizYiDKlfexsRGc9W  1GrUi8OB+bhLLGqNECjiJ/0rCpA6Dla4w93Quo1G+KSnVyQHuipboQiznK6ZHfxiMh0VMiFHhPia  kBbrz5BMkBViFkAYu7gYAR72FdlqWxUliTiaEMK6tQi0wvDpTRAl4RKDPuz8AiYe8MuRAggNA+mM  BRAZ9gcgdAwxlDzHRybu62KQAFQWCnQ+BlOaCgCfHOJlnCkAci0AARvJI8GAxAFuJUQmGQQt/gAZ  y9EFBxko6xlZ+AA0vFAEDIN/JrR1MRmWpiakedspIJPBdwh6M3jniBEiOGdWLQQAWYtPcJk9wQr3  8Z5I0Tvghkcs0eDFBwYqLAgQUJqmBeMH3XOBT9tXDj18gp5VFn1wzwyuLxkcBBpHVDQYEgFmAtxD  kwouoQpEZTMGuAufgCVXEBD0Or5EuEjwg/7/Y+wAQG/kSIylgAcGEJCyAgEAHcU9XfMSO1SwiApt  XC4gIhwMV1gOJnAulw4oDhDL5Q4qDhJyNQ4sDhQm1Ba+FqVGHCgpsgYohxYBC0ipVpp0AQIEmoDH  8ni2YLY5cDkTdBm4oh4IIW3WEEKAjQbrB5CwBQJisClWIIFpEBz6YGkC1+jcBPqYSD6jhvIfGga0  D4tW+sRTSEAg6xALRhJ0EADo86MIDIkWCgzrJZCtdyOHl5IwCiALwgOJgtwBJEn7ow1IBA1l900s  xqiLhwMjA157LqMeNSAuPzV9NeASZ6MiDBujxvkoDNwSDKp4zw+jFAwWDKMYs4EJGgweBhwMgAC4  AYYgo4oWjB6MFhCOFgINnCs0o5gWuBBJmoSyXwJwVs308pvYBA/4KJ1s0xuWLzQOlZICC8IHL7EK  0+ijwJM6DNPgK9L3N6M8+czXB6G2iyMJti0BAJwBZpqAfECjNgyxqxkELP2j73ou2zC4Zy78bj9F  ttYeAwYWOzWuFnyQPs22MKFXfQyCMoEGBl6nmbNrzKFd8MnMcrnEHkA4hzHwOA9Y989xJFRCcSYM  Ct07FyoXLFw4Nl1c+DZeBjMctQC4FEhxGioQ6+sJkGX/b5i1O1QI25gyqAQNDugRACS35/OoOaAB  TAgGB1ahbAsGCgy+0G9NAaE4DOPQgYM/AHVXF4jPdTnpUIDiAY/rCk6dGlEKDyEOj5pGJJsKmQQM  IpI6C7EQTy0mBCQM1Oj2iSiI/4kqix4vHyKSyAZWSVJKYxGpltPDo8+YZZcwBLFLMEcGoYYokDgG  ckWvlDPtqUiY1giEHk4I6X20BA5lhwj/t/ObEwhBausDlx6C6zVEhNYue4MGHkRbAiAM0QLQEmbq  AFwCuHcwC/Z0CVYkOJqCCx5Of5QkIBCOitYwt84eq6S3z0akk/82OwQeDKW6nEDoBDgHtAajGLIG  DIM+IAF1RCUMSpdCrwAyIAX6RYN+9gB0Z49X5SAlEFECKQaiILvenoH1gy2DViz/Tvbr0MrqUP7Q  wCIUUUBYC2SZRMrB0Q82lDAEw5oiUZcCKggYlC9VMPUiVkVyLKO96lzxOQb0khkMggJIEqN0EstC  emNkUwEChxHJp5qarDx8RwcFilce60SQOloTFk94AqeEBQQKn5pkC1YFwrZITG5TE6/K6gB00jlH  ZHUwtKMIMAyLs0pn4wAxoS73MAx0Cq1EoX+hkjZOarUrLGv8FKVILdWEQhjgFHXHBmYMQCNoDAeJ  AChE2vkvQgaicL0SuGIMoGpKIjh0MSbmFRVkVwlJHRvdawwyuD4dnCwF2MtWWmbgkouHQAzHRwQ3  LAIM2bga8/wCnJmTPAHhLHVeTcIrWvQ9GwUurN3oY9cuEi78CitdxtMQhxQActQcBldW3poaYRQB  FAZeQgtGCsZm/QPp0yw0xACTHCaKAIhG+irkTkKMADkCqAF1CYB+LpH6XzmvABkg+lmDfvwKc1t6 

KTF+MQExi1ql8FYzE5qoMw0TAnQrRzlhXiAYxIPsXvBGDCaIUMqw/I+f6ZQIcyEBlB7q2mEYVAwV  bEnrugkekJBjJsZXNQfd/n4AIqFODKNQDIpGD7YGN6FMDCsGEAjhyAQDBkiKSgypBEmt/Ht6CAEa  ITkHmCN1D8cGq2Q7Usn0DKKb+TE5RqMP/x/a2AzvAlC9Q3NQyAC4bmGMGoseFcQ29ZwyzuwROgEa  gDjeg4jbhFSE62mQgz6hUwkKc2oAOyErTBqIRvw8Pw836CovWWA7mEM6FliIh1baBFWiVLRyjxnG  B64ZAIP7CnVL76TiIXsN/wEODXK4oL+segDpLwJogVACdTcGLgPPBrUAPDvYERa8qwCL8x3pPjNA  ATQcMoSPAOyvvz6d7lr+HqOJ2TBAOwYOc0KdJnF1NGTrnQUMEkzfYCPfd99QAZC+UCcTixz/BD09  KSxcQ1wBD9FqhQE9IQ0eRBMIIghPCCdNhAhZCCgILwHpg3tRNv5uAB29YRT+ANbwUcTAMFxGAHQ7  PU4FVj1UBYSqCD1Z/8yVHj7AACC+Va8AwGR58Daa9QoplymGAOtKuhiQIHMZQGkqC0N4DvcjYQEk  0KhPVS8CajxPdTuL34I2GsEq6htUdSAY7xuAeAJbEYNbAwkXXJMAOP4XCISv/m4NguFGDCwBJPLj  SiaaGoUh5Ah7CNxo4Ah8CNSQuCIAnBDA/vvuGS8nE8FmJrgnBewYXQbmGoAmggiukD0rAHSjPS0h  AAW4PS53jP6GYT1ADeE9WwXWPWASUAXLg+uFCHrw6xuQEOjqIHQEPAl1QhUK3VGR9Qjv3igILHIE  bFgCCJUCLSF4AAA9CgALrAIDwJMu/6d6QD4J+NsHDAT4QaYPPRMwTwVuGVRogemzAJCKUP4Aik51  /QM2ikS6QXUbigwFEIqUAOtWoSZmkAHrTvqLOzZiUnUcVhNHAUcNA4xHjZVHD5BoCUj0SKjgz7wC  z49qHm7x1EJuF24CQD51GX4A6akAgOnAhyjJp9QoKiiLpCYogSiIKKGaOAiJCJkIpuKo65EIIeuJ  a8VAFUA9dQebNx+QH0IHjkc6TWL/ASaRJhxVVx4brC8RDR6SYkQj6SH/cI9KGP+l0xXpEAJSjLxR  UsoHjSbq/tVOJg4mdKYAeDMgA+nK/igTTZYowgh7CLo0kgh8CLL+1RtRCA5yDqSRhP4vhANEE1Tp  liSACI4NAAiBCIb+2gh2CawI+gg/ACwIAgIJCgn8B8wHAuE9PKIG/3cg5MkdCm7+BKIgZP09Lwiu  FIhW6APrqD09kAcQLv89PhjBEDubPV0Fnj1eIZsSlP7r1G8Gun09igB3gIF4PYgAcy09fiIQd1Y9  BHmTJGCLCouHwMSuCf9/CJtEPHcIE0cHCG8I0etnNHEIBQhfCEQTOOtXCAMIT010CAIIRwgBHQat  kD2FXbs9hhjZAHIFPVZ2yQJMMigtiwA9C4DxJqBmOAraCfKr2QL6/goBiqUIb0jF6CKJcBHcYX4K  it44srWzE+ISwbD8CsB1338cHg0TIXTRAw4OgCoOg/sEfJVVCYuQsarvkG1Cyvxlwov+SGFLa3AQ  AwuZK8LRr24Q+plbW0BQgMrP9276BWoMXblf8ITuC8B+s/pA90ZVBkkS+ur+Xt07rnPyUkKL8D8U  kkoO6Bn/B0BndCTEXgqLhHoMspjLDgp83MQKEgp+CvyvtiSnjvH//8RWoUSgwAZCDHMWix4QEgvE  Nj5pJseFiPgOJZDSJgMAYoHcVoN+CgPBErh/vL+awHkCGeQT/wMtlYSwQokcYkgmxgCXRpyyEFQK  VJYf2HkDxrQUjMJSOPLuCgF1T650KQUDXDTP0KRA70SNRggWUF6vUIMeAqF7Ts7FhAMBdUEWgD/g  +jB1BrjvAMgHUQwxdRC4gNrm2LN9/YHWJYoHKuQtMBGFGLiZHGyrop+KouoAZC6FAEvuPC50JoF+  wMH8ywx9H7gKsfxh0tiw7kXKnU0UuTnKCHWbnQj8Runi6AvoOeMynQDV+hZFNNrwBfIWUCrMEKYO  3iCEEuD4xvoAdBUvBhg1KycbyffRI8EDCetHlhCICi162/0SBQkt0PuUm4AClPC5CkQO+sj7UggA  cwFFUghLUKRU4x1G7hONCyYKJYgYAmw6oM4FAbYEA3oDtgRBULZ5d92MqMEp69IAF3RP0E8KqgB8  EVQIkACLB1CLMxovEHq+Dugk/chRfJ0LGQsYwZl2lrg7BuuZmQZyBuUGKwbfmZ0GcAbZBpuZtNMG  bwbNBjGZiwbHBjgzM3EGTwa7BmkGMzO1BkcGrwZiBjMzqQZ1BqMGVAYzE50GeQaXBgWcmZa4gQaL  BmWjKC4mfT4cfxnEyhnGdKE3dMwZhD2JBYVGdETGhj2Lvmz/Hy2NIFPDCQB3HNgAABAPlA6aDqAO  pg6sDrIOvg4gqcQOyg64DiAZsoHsCAFWJib5BdgFFHqCyiJJH0Yo+uwu4WbRo0h2N+NKrAqjTGYP  fE4Zg34MiO4DdRLHKv8EuMl2+tHmx0LYgQ3G/ImG+P6t6/IRAqrp8weQw89bMPxuc4qh7QeFLW4A  yxfWyZnjyQelJBcmvk1qNcc1SIvcz0g9e/h3EOmIiiaSA4DBkUwE6ZoHPX0X8j2AAN0YNHwDPW12  lqjl6SFWsBnQH3ts/zZSDKFQ0uZ9iJUS9PMG6XoEHRAcO/zr4pC4PiBkXEAaACnpUwS43QDr8JCH  g0Doeth+dUW4VuEw+ZoEZA99NaIDuNguWIoGjk+DPp+gHgQk5YEEACq4rDbw042G+v4W3I8n4+/5  6f4DJ818VAwfa/oapWwEF8aCEjsBANw0Njc1kgWi9VT8PaEIbsJy4PDXVQEQEE0IgwA9fAhFEH7k  8AiJBgyU9QgfAVin8+5AgwQTUcyJVs7uO4wqUjAkWSM9dXQSPSd3GEAGY27QzLic/BYXBRDODJYt  RcgMnvQCeGT8SRYGRGQCCHYKUukHBi3gkP59ABkbCovGDAPwBAKNrKeCEv+CExA+fRMOEwVMM/T4  ZhBXhiCDuiD/dSOSNM/IA896ESLOIvEiiYKgKwr/iZIM/zfHBIKCFP+b/ukkAZBecB/ABMbpK//K  ylCBPsL+730DvQu0/osCLZz/ZRNBSB/pEgW77jHWvnf1/3jAb5pQKJ0o8MNNFCUBdSUkUGy4WFz5  1k/UNh3Qy4ks62iQc4hNOQJ1U6J+OVk5K+vuORKDi4EjSolG0AMGPvtAnAEMLQLG0olW1MTeLl7S  LysaVITTuDPvINS4LwTElQR7QANI7RQF6RoEOJFAyxFz/07HCCD/ctgzqvpClTz8A0Pw7kDTv3oq  UBtES5a1KkIa+j51HZtoO7ARTjuo7Fp4O1uFU+ibA0zTb/yPXlZ698T5VrS0ilG4tlZSVExWuGRR  7Vhb00eiZTPpNkambXjtLQNUT5R1ESGNJLqJJOnVm6rs3CILIt4IGhFABun6ApCpNCnRGEObJhBA  3cXxK5z+ooa0pDPHApA2kkyGAesgN2cKU3XdiGpQA3VPpmMRiwMH0Afy6QcBGydce5baUpoIHTOk  Q19sCiMCkESTkUBt/7IRQDm4yVGc9i+cjxwMITMtsgr/OMIPIPiKRgDp9MaEAJCiLuLUOaH99Hwm  i/EjqN3W8SB/rhBL4AOQHqcG+Hrq0j9TDi6gUwNH7l9BK3KSSDCQbv9O/ulVwUiUdvAzAZwMtHQU  R9GM7/0a0EhBGhkBJDQI6Q8BBpy4gXrYyRGCKioZuAepReX19C+R1OoL6fpAmKibNtkANoE2DOOl  HPJr9IfBACQacp/8MvwypymnAHJgCSpCP5BgkOshTmAKzVKQAT+CGya4NMQJ63j+IcIsnfLIdhMm  oIvwEYxyGRE7xgtF/IBI6S79kLYPdhcCZBIOAAj8DxgQMBA+EEQQSowBFHwUEHoTBGwUaBbaA/oW  CDcTURT+Fl99AhzAZB4PcgYWJCiFJwSZyPggDVMyER4oCkEQoxm4up0twrydteiJVJ3rLQQOAS0C  ALg0hGtHo/MTajcQXqwqcIdWxB6yBMkIO2TJCtffEw7lLx3sBwiCP9ji/3bYc5XY7vUa0gvpkiKf  ATPY20j7cAGKpGzu6G1s1hNW+9ZzcD5MAY1G3LQ0e2YrNAf+A26LIfpuQJ+ylzZ96CGCSWr0jfY+  8AQLAcRe9MODkKkLRwYQ+wAmxF9BSA33BwAB58MMOU126DkIV6Z2DEyYTUIDn+iMqTUoyerUuHno  depIMzWIf+gJc83aCfLj+CTHdqaTm5kp+nb8zvLO+it3mEn+of4Raxrf7mWqEA3qeNFd/3cIBAZR  xrS1z/w696pw2unaqZ7pderA5CeDfuwAdBFR7FR+ZJrceJ/h+ieR/sOEkB9Cqo/njozon4A+l1Db  Syu4dJxEgOFW/uOL9C4iIHe9CCCc7PB9VSS4Wzl6sjwUVt4B7RVTsQPmftPmO2KxN4R4+AMBEKFm  DHI48OMIdX0FQPPuD/go4JE0AFAcKueaJNvBnZrDktfK9sH8PY0Oi8oHaAxVVhsa0EpXGpqQG4wJ  oxGJFh1sGQqjfESSBvajKUQM1iSKc3RTznsVBEAEPlyHBvJU4j2P0fMH/kqLSlFwMIlW7sReV/Bg  Zwfyxxhn4QLUD39baW3tCjLoXATtcgI77Qpiy+yuxAIJsynsyoDvkSXu88g9MVwmznQOJHXVCvUr  AtiUtk7+iZFkFEBWwgVhX7hAWE5otgTRRsDkGOQWYqyvGQB/SoteBtTfASel/3ADTgIEMJqhAKEf  Ypo9Lj+XKTBEyYNIBAayBBD2xwdt3wBSSAb+7gLmLOUICQYKvmb/YDUHow2VXjAEo6cbWgY4Ak38  iWde/CaDf1P5BB8Tw1Mj/EN/x1nxMsdHUTV7fWZ7KgHMQEVVc/6mR4Zl4JgnxwbwAiBop/AjN3gC  9wbYiCG4SwD6JC4EBD1YuCDHI/n1E/+fpoEKLf/8DG4WBzRTBDfv1PRRUP36qIsw/f12C7IHdgEc  mkIkXwP3Bp6kKlW0/l/ODC2wSINeYjJ+s3QTHYH6r1QDB4L/JPOmF1EoEQnxIVn2xeopWSkmTe0y  hPEkNfpv+28IJAWoZhwR+ssYaBpiHmUe890D+f8OEJzLAgJyMBDGo2y2Q20bSrcVRwEtvPkkAMrr  AoYGmqoBwhceEOOQTRwRPORh9geAdCRZCPrOAHQugy6xB5pS6g6uHlanjK9W2wGyQfl+4LEog1j0  uOIUYU2NRuSUgaXiwTjixI9ngkri4r8aK+0eCoxAPRQDOLgzBOk+ARO7ci4raiZzGmj6s8q9UyWM  TXSzCc4B+pHXfFt1WVlKNVhZCeIy4ku3ePgxhQKwA4QRxm8agz7X4exQCZpu74I5UZCaQBIXXgmm  gnaBQDtDcpQAugtxLcLtXYXAXoFbDngBPnV5g7ueuYQhLZ+JVvgTW8eCzXQf4aGnGTHw6aIx8hCQ  KwTEXvZxngsQSFJWYl3ami4JJCAI6we4CgB3mL4ZeAP0wsri5EyZgn70Hxxm4RzFFPPE0KL6znqW  VE2TG9tk42j3WKeJG5ESwm53Co9IRB1p7qr0wsh/bnUHngeULnUbDQJ1Dcb3OwbZx8E93P/paAwX 

DvT9CGABoZCxJRa0BEzFdISsmKwFhKFmHhpQOgg1RvDpolnIiPTul4GhPOwIE0E9NBBsHoRONT1R  HZhCUgB2VQZTogHELrBmEJM2XxGRBwJ0BwcHdUNCN6XrQZCQBkDvzgvCdA0Gl5MOhCMXEOZ6cywn  B/4HIDvhtvAASQNi4N4tVw4KzCaG8ikZAa6h8JJAoVb/IDgWuGcFEGU4HWl1BjuIowp0UjvrHCJ2  fQgSEaXzCOsFjgeTAkxGAjY5P3MIb2Su6+2QfayHJ304lxII9O0tSmFjVJ0oAAHczga4BLYGwjnM  Cv82yAQE0IMwBM4EDuj2GdgmPZt0In9uLZEdN26RTfSBAIxT9OwicL40tDAYjF7+63MMwDTr8gbC  4TE0lMQGMzPmBsYG4AbIBlPG2gbKKm0LJoZDEs4CUSrUIuYiIiMCtpkzCAw9IHXhcbm7tBPOIXSp  PQwDL5IFA3SrBSB0rLgTDtI8hmAAmotW/qO+BIkWwAQ3QtbayBMiAHiRMJoMCmSMXKPEEyTGE3cC  3RP2vAyjD4AC2KG6AECLDrwAQffhQ9N+LKYTUCyoE0v3jBOqE6wTWM4TdfUWGcqesBnMGdAT+Ntv  0gaanuQf4h/kE3i0E71Sf9VIEL3hAAi0lgUIepIuoi6kE4WX0Ost3vqF+bgXixeMx3t3hZxKOqQs  N13/MN5HuE4Icsy41lqxjlhGKOrIAKl0D6PcEhwAi8OMlqPeEmvgEhMAuqHWEwsG2BN0G4Nc2z7a  E8istq0HBBEEGRInShvI3wIbBwRMKk7EG0K8BiBRcxM1zFBfLs6bty4mB9QHCy1B6AcO6GgAbF6s  NhkEzATKM7lA1HKUPis1qPQSxDMeXosHwQJ0fYkahYbnxBKAJQb+crqaS74Gz7F9T8wAoQlhkhwG  dgNTBiMBpGahO2DQFbV2CqEetpIrCesSkKEGE/H8F3YFHOvrNskYNEY6FEYfPy9QHJrKmsyQNEbF  DeeIUIpt/w69vM/mPykGMwFLUrIlW3IEEQY9BhsxxwZHAQCauOUgDy4EuQ6uj9mJ/8E/FYkLyXQS  JGwK1EXw0ku6XST2cxCTDLQKo5FJzEn/AGSuVusRkJruDVsFIPFfCf/CCLn06es+kBX0kNoOEyRX  gFZD1Yah7ym1o0ccv3cpRgx9Cgjwc7srBgT83G4Mdg4+K+diC7egVAIBNdBR4SEdRIcWKThU6iUD  ORJKdv5WD/v7jnrlGnuJNqBxcCX3Mw5G3EsSGUcrB5XrEPoPzUb++i8jZAJXFCEhkMu43DQ8FCDF  /iRQLdASLeVNzgQwkvdldHwHthJOrRYKFCQKzrwScQfNvoUtVRdndUyZUJPgEx6w9689HIgHFX4C  JUQSmnScjAECBPgcwBPuVBzCE1+aHImQh+xlKYrIBGK43um714oeVCof4trrGA6t/wbevF4PAP/f  o1PfkSzmLNdUkRzq2pQckctBghUlaVQqIu5qgc7ZageazYJEbkds15DLWM7/yzEUkBQIO8uhxgSd  OoJwPQiEhAD2ZNQI2gA7wfO6AASb1QjVDf0eLnltYGNWTIAIBvghLAiBPhwID7jGOC7WCgCfcyoC  BOt1yvG1sgbP0T0ErFqqJI/F+hkMPKccFOulu65SDdWmUiZS1FdHBNJamqYNRMhSEOusp0Ix4AQB  Dk7yNOsDuPb4VhjpR/8+iG9EqEqmiPwGXvWiChCpIlxQEekP/4CEPND+EpCm+mJt/SBrAEgCIqHn  ALoG4yyjCZr2XlkOLU6lQ7xODTMSD0jjDKgIvw5I8RmDCUh+dJsA5QAZ5BnphwCQgX74+BGAAHIZ  Bw13EgGGJ3R3/3b4mgAAI+vbkAhnIIgAdmRmbEsFCDlZd1nokA12CHRSiw0Lb5tTMiRhyB2HuPsF  l7r77NKuHRlCn7e++yFz+pojDKKQ6w5GBVz1Kvh+BUH9B9/+0TekWLAiJFUG/36NwPF07DrFHghW  /ejhPLgAATEhOemJAOteCz+xLhA/+H4qPeN6AwUKPTwgVEw9BwB1ZGESSHRea/wgXGsCNzEWbetJ  /Nyf/v8AsRTc36DjABvJnSiLw96RkyvX+ymZPOseSqlS/kHB+4gjlnST4OHhE1r4BkhR1W7/bxIq  zlPpUrIGVjILjsTSDFjLIQazXAld0NEYXLodSI3EjwdKRwGUiZQGUyBJhGB46wfhxjGZ2kchazD8  mjQCWSf7ncKYrBvLir3jtgyUSrZLQVMYO0cCdRVWur4MJ65QhNhKHawVWIybku0HB+xP83hQl64k  0AmR+uRy9yIR53cMUOFfXHjlZaah4zj8CPn5fOplDA9HegoF/JlLAMgkV1aDPsYE4KIIdU3/Njh2  Nvf0BDQEMhQmJJmWCwKAmY1+3IvwFgcejtqllzQBHwcziOAD3gPcmlgMuFMjCOsTPZnwkoA7pAVl  ABh3C9J9A5AI6fgAfwdc75A1AMZG5SybmeR/skQAOrg8BrA89mbpik7ogHQq7QPBK8lRUEgiVBDr  EIPSAFKVWRHqEQu71+j2kyw74366OVb2uDChjwB8CDkTcitAS0d1fKcxNnz4fPorghQrG1by3NLD  MHxvef+BDQDWgQ/ur4MAeABQw/cO6Bn+Xl8MDQ6ggqSh5QCkwNMGjxdeLQyDQYQ9aEBOYEK+/eIS  UWyhmyEANafSUQwzDIsvkygAX9s2LIjVfiu4DTxIMJ6mED8G4gajOj3//3QJN2nWQ5Gw8gUAq0JA  MiBXVsZG8Sy29JwH0Dn1ik70A3o594EaOfYCXzkYF/VC6D0EjX7owl5gSLKXdu4ZKk7qA+ia29Se  k+AzBEFFCkxGquYD5KEEVZq2ARQMgEN0mt+IpciPI4q+jxwVzI8rwKMRo66cEJczsIlUoQaj3BNA  oylN22IVHiqvnTI/eFmYR1s1+9wLa1uwTEnMwELOmmYJF3Bxjsx6uhIOIQ7lCIslDqRCMBR0faHO  vcBhod4EAwbQEkXCCAoTzCEO6JCArffrG5AFAjVgFDw39TGztDkcCyl33qENWUL6FkWpWAYqDSqm  pCYediZS0h4IHu/0SDGZGeviyN4QFdoBBcwEhpZqikYG2RA2iA6h5hPoIrg4nnShEzNvLjohakW6  SJUFlXVdvoAyYbKv7GUPSuIwczvrP5Afr30EHxQflGcR6xoctE90uBocEXJYkrGtcNwAWroYVoiA  ITaXJQoAWYN5AEKsRvLGRvogiwGEZPJ8MIM+ChQAbtgSA8dG7N6cpxQX7AAXy/QCi17sxG9yTJUg  jl165AL/GD9HfDD6PjMTDR30HfYdih6GbLAj/faDfjGIZHwLGArEdgaY+xcCsCAW+AZynS45CsB1  NTmY1C6AfvYGKAaEnROaVfLnwmXe9hs0nw30WFPr2InEKPidWf8x5w8JUP8qkMQIDuh+/pgn9RQs  AWUw7uEjLnY+EI8k0OX8E5VQ4hIUaV7iTQFswD08Lul9kfjQI3QvPXyYRmwBbD2vfmMJ9iwJWnWe  NHb4oOlH8L4GbHLItCN1bBb63RgfAnVaGPo8cit0BgYtdT7xTGQri3bSHtJA/wB30+g8JHQEPCp1  ipuT9BIHXx43VJOIC+sNkE07DsYOIHz6cqnrJXgkeB4cAdYFsC5an3ws2qOnAF4wVi4JCBgEjQAp  Aa5APRGiJPORAD0qCIkZJghZITw9eQU3fQpbFMcAkGEYvgAoHDwKngAiLgmVXYAATSzrMdcGVvgK  dEUIdBAjWesOVxMQTgsKUCbt8IACG/rpa/3enpQbpThSa2//rng4IOvGhMnUIOsV+efpYP4888Ky  SP4kLIPrav7pPP0BahbRk/YhykJ1EaeITbLrBLhITAXpG/6S7LhygijrD9qQkzoWEgcoy80qi4sp  HQTj5B0euB6OhLk2AwYXi/FM5dsMNvqQgxVJdSUGJSKGJwMloQ8jVUjsCWQTemSQQeVdEg8GuMUI  x0YKyS3qBiwBCAoDLTwHhH2IRvDBgl0H7gZHyDgDw5AKXFJTmqpkCpJglCfC9iiIW3M0NwzudAFW  L4MOViQ6HblOVfLbDtMjjyDvoewTqEko6iQMqEYZqRAySJ8AIAeUfznrGAc/WtQRkDh1PVJp7EK8  W+x86AgrOZdZRuo/ZPMaOyRIsOwwhxahCUAc6sa4GyDrIHlX/iVJLVLzL4QkHmtaDiHqUMxcLb0R  tlbzsdrAowoDMTN3owYDBAMWAzMzFAMSAxADDgPYmP4To/oD2qMYDAKB8QMaFMReBsM/QIDX6TgB  6RYBPCD9InaeJ5hbR0PDIWC4v8oAPSEKcT0oiROdPSn0huc9QQVYPUIK6dziwOxuAQDp0wAFUQIG  CskURQoICr8KURQKCrUKDEVRCqsKDgqhFEUKEAqXClEUEgqNChRFjwqDChYK63qQF00KGApwCAIU  wwhovYaGqYvwVnIRn3QdKPcmEQwa3o1E0AEGB/9GOQAG6AB1zP9OBusvkG6FPUsmdw09RGEuB4I9  RQWH3AZe4HSdPUMgUwXQPVgENkTK/z1aCFb/QEAchf4KwMiFLNf+UCC/ErWEIBEbERYEIRF9CEER  EhF76B2mdtM8NrLAhunaUwSbsgD2BjxFFcxkzw4iIg1gFQp1WfRhFCHEGbiulaL/DQ2b0YqMXgju  4JEltwTEc7w5jevmFJAFGPmxQg0Kug7rlDu8ARuOTsBADYu4lUej9kH4E5aWXEUtkBsjja/G7DFy  ryiaMREuJorEKuSQHnLrXQ4uAImOK8hBiU5hAv7ywRvJI4SvwQNGM3LKDbnGC4s335cqHAIwT3RX  Bh/Wuvw7BpeSuheWvRaVGDyJadkldZ2IuKhXVsP2Bwo+G7DgBpcmgX8Cl3cUCp9DBJQiiwej5uEm  E12j6M7NB3zq7hvADu7PzSWH/Fl0DigWyTIDZDjQcaNif5IkQH/TAtY4LfrnEqXGScBr99JJzBqU  oD7MAscEBnmPmAEI6b0CWDy4RwSwVAgqNkbEHqoT3Q+ZSrnrurFSkCSK8r46RqUTjTaL8GRfCHdm  l5Zd8Z4wQC6e9wQsBCoUOQ7qcAQMRZAA9yPlNEyLpAs+v8JI7Dry7hBuUl8x/DEIMXlO7hMLNt88  DZ7N8yVAS/oudFs+2L/2Pqv6TkEuIngB2isi1utakAyQhsQDU0fDIbkAy/j+hhU4EKn4dCgkihhm  9eTGGP/D22hDXvqkS1DuQIfSBKPyEzLw94vYKTchHoA4UNXW6xdEItRXRP5EGa7YsgqUIgg8QGAA  PgpPAivIiU78DMmLwSt6o/ATKDwWB6nQ5SABO4al/G8esqvqE+tnmYSKdD/q4sQ5UwdTBeSauP//  8IFTAw4UBldBCK0499Ei1Dr8A5EwGOsPGvmiJSIEZHLV/G8kFOQG8NmKmzkZgvqGyXpi3oMlqggv  LelH/drCZHbaUgPokW6Z69Ejssyj7hM2QmXO2ASgWBYeAWSipDQlgBDFJdaibaS2oW2kGwFBx2fp  BQE3Ah2e6bIAkCyL0KCqKgsaoCa3uDWgKIiO0+tUkBSF96DrHDDggqUo3sCQUooO6ET7K+wTHY0v  E5P65dSsjAzMGXUMfLp4Ba7rmhQcYvpiZGaAYjvBfgKLwYnk1xwIEnsamERmCLVY6CJmSBdiCXvG 

D5BJD9Nplt03igGKvKYY7pXGQlcEcqQEi0ebVwgxZ4IElKwIi8jR4APBIxsEHS0OQp8nssxyZZBM  iCkK/3USNkz/gWh3iwTr1zBFlBGalgYaDjjTFF0a2Qmd4XUOlH1mOJR3X/vl3JD2kPoEq67/NooO  q06G4QGG0sbGF4bo73tXQRfErlCmQOl9srQNTvwWbi1LNtaWTEGypWtzGGJMGjbd3GMumQgEV3vV  F/oLDOhKoIcL//BC3JKV4Ls2tOPGbUEe3/h3GUzhqNoKVqHiF+TtuRPHLf457j2udL2y2jzR4AJb  gUsy+kzFpzktNAYhs9ymCJ32nne1Ta08ID8TmBzC9tD43ndp0AhMXo14MLeLXwLR4wKLCn/exFy4  ZtYZAETuA1ACUP9HkpyOuGFAwKXSEh6NFc8IawPw34WOnychQp8uNu4TUAYjFwIirPw5G6Bs18FT  09qIUyQ48hRWnR5lKDkKyzt1DgwP34AGDfdSSFz5AZH+cmPW9HQvutFw8G7sXAc17vOLxtHkA+YD  8AQk7CaDeLju8gDrdNx6Y+Y8qhgFpkLH8gPwT7AnC9B0CKEVautWBhhToAtTdCl3RF2DP90OCbv/  /+uPdjhC/3UYJNW7ICTv6KyONSRZT2EX+lf6jIyVEQHwQ7BH8AABDxS4KgAvfKgYaZLwGBIWg6P1  dmgvOCSLRvCLF79DP1e8wFHdqfRgTbTDTq5XiQehAa9AKnkBG8lBA8EXR9sxRIN/8tVPTmbF8kAX  EFDIBIcFDGmIkzMoiEId/3cQjuQ3HXf4CSsT+ySWh+tAsLU5reMD0ajrJDHH7iBh+io1CJBRJoxf  DusOzcGmRyZsCAIAGpp6XlQVoAB1GQ7o4f3YcOTCdBA0Ifz8EqcjOzqabgNyYSswBg8FcjID6Y71  lAGANQMxT40Bg1ENXxEVIqEH1jp5b5DPCrlii9iOwiT2CR0DEHz68wQIrgsNQHTwntMgAAsKXaAA  BIgd9kfQvEgOkgAK4AqIAE79+BgIIYZ3rhShCq5oFrQELShTwMuQWdprZATYcWik/I1/GpvStD/g  Pw+a0j8YPxc+6uuqBOg+IiVJ2UqNGSaKfyYiRCK1qJQUIHRVmyAA4kRz2D7aRkcJGlmllxwX6Bfq  ewkXIhck0gx0Bbig7A7oHFQEWPv+YIYE5LyZHzy3VRDmGC0D6YwATPj7UFW0hZvi0JGhFqEFEm6U  n0FBG70W8lAIE1SYiRKfa6V7Qrdl+vA+wZsKtKxCFkJhSUBQTVRhUIJer8ssM+K8iT32vMakiXAA  /utpxo5t0eYCp6Z6qQADULgzMCKqmRAAdLEQCYVY3AdFucMeFh4WetnXHlpYvPMoC2d9fs64XneL  wTrjAn1cVgIh9luGzMCkA/l0PfZGAB4IAnVvgH4GK3RpBi10I0xjBgojkPXeBiB0VyMUJYAsAEAA  AC4Aik4GKu07wXQ+K8DphgBZL5BSeOLRB4B0ODlZdSptg8M8WXQSnggSTnXClUvvSJCO/Egl3D/3  PwW71jptnvisdAkXbtYgKEoKbbwcEYQD4nc7PSMeovo5AHVIKgLsk3b+8PGYzQZ1okhFuy50nNOW  06Jh644pA1PVPUyYGzuJPU4F7q4IdjJZ4Oq6Tf+7yyhxuqhWW11lLAhbLumYEGr+fWDerCQmlbHP  U+isCs9ILxlo25DkqUw1MyumrLrc/EGxMSQGSFxFAyCBRPxEDMjnPNKQYib7wis+SISPTkDyfhjL  GmkGucRpDUDrGLFVChpAvW0b0jbn/uUoqpjrJ5D1JM4kzoXn+x2RDCw0KAEgZ7qifdREPldWpSgi  3GSSKArMOVWiw8g5zBTwFMaNRHlG3gXhF9ALzkVzCsoF8gWhZXdUOBjJTLoITtwBsE/mOwbuE34D  oQWbk8sec9h0B6EGSLx5dIYXYBTo5k47xpihIol27kTYU+ltCjiuNrl5hcaxsh/EE07s6xdMLPzw  GSUPVHYWDkOKCFzYfch1UaU20i4rv30NxZTrtulZhMVfyFxE1KJAsscscMofR+JcxzPenXPzHrS0  gzEPDcoCdQk7BgM73sHZCa7Iw+xDZEv//+nJEO4D5miwOxJ91uyun/fufAnY52dgfSkRK9jCW7zM  +OjFZQh3EjNA7MfFGdVQ8wzUcDrYLOSLNhjcOxdGK9L3C4Sf9vfmi07k3vAg4iLMA8Gu1Drca3QM  sQ/OLbw9PrcYAE6DoMAgNJMu/6c+MSTh5wRlM985SCSj9HLOvoPw8Mo7f8g2EjAGygz/Nhgk+Zqo  CKsYDR3mC+bzCOA+kIF+zoAAhp776AgKhwBcZR7e5AYKkB8d1gj/Tv6G6/Vn6bIDJRB0UKChgqHK  i8de1gNAsopJjQ3W8+rh5DttYgxKC9YvykP9U/L96esBkBVSVOleA5CaoO2DfvIJdTeSUU0cDiMb  ydav5L2MuQ6MDcQDgekhQu3pCjwTA6xMCspIdQ20I/kCX7VZICsFWVZZC/JEPnQFn+vMC8pwdQpU  /sF4Cvh+DTLw7JIAWqEC8tbrubQqUxhnKSdWAFZ1RyPfgX0/Orah+MnrLcsuCCfXTkcVRLzjHvZE  JIJSyMx2uVLSLSVcI0+tfIT83zjr2yXFgVO4K3bSPG2q0oTWF51pEca/bl/epoJT0j7S2h9qdmnS  fOpgZN+LTk9O1v1BRePWAhLjcPBSIODWiSVR9CvpMAML5CLe4irQphldEAPaI8igMroi6aLaf8pR  7JlFGGf+GlFIfwxb/vrAAofRA9G+UANFF88ASR1GdDAyKvupALIslOptFicQTsJZdcs1E4Q+/enY  yxWoyr7YnMD32KMIDL4iqXxwuDwVKRvS2u5eH2dka7gHG5regdoaUlD4hA4X6xqv7w3dixwX1jaW  FjYFqiRIJADpDAUoY7CzUbCrpAGc7rIsUUbI1sgQMmgwAQBbJ4P9L+EkRsykiivJgjMaLHUKyks2  60+J2hQudQ2tuv07K0riuYTIOQ6h8rzWKo91FKos8PiqLioL1YCOTJFT6WH/OeAEDIB+xCx0fZFr  Bi50d6JlpuRbpYrgUrmlTTEzXSx2dasLq/qqNJCsH089rAyrIZAOSg4RxNNy52D/jh4VNuLEyaiU  9t825SY1PSP0FD/t4O5tfs4/dQaakJyUAcngvM6000BLwQYC4H566UaCZ6IGiD4IBYkmCDYIBggu  mmgIBwgmCAhOHAgecsC9cQdcDwkPDwNJl3zUc3LrZeCzUbwOrT6t64K5WliQGZrgVpuoWaf11CEt  aDkuCZk5IATdswKQQiakdBAnAu43nxY/Fp0WvIVWaOBtKBPAfTQ8IUhb4ll1E5XyeRG2QXqbXQHJ  dqo7HACSaUUBxwb8E72x9ZC6CyzfjtaiBa4DQTyf7PAGLbV9dcC0LWHoBlMnbhDESJouWQDIBo1+  +IvwKi0WB4UrN6fdUIAi2efiN8JwohlS6GVzPTYnuiA26BMWazAbDMO0SeipL3QlqKoE4qgL23QK  /04UESZlLaEOFGTa3JfkvHCNDAz0x8b6bTaSgfg03sUdqNo33GZI1VuwvFd9GFBC/mjX6rfkDHKZ  6UYylf6QdUHMIQCQQM3U9A3WoYfOmGM/+IJUzVNPiETXT+sikDAI4U6LwwPGq01aNVd3Cd7LDjnQ  AACNfoYori7mKPYoZC7bJzopAADuKUYpkCkCKqQrVyu1LH4uAKB2LoYuji6WLp4uICwBL8+tAhoC  750YDSCMArAsg34GzL3Fi/XT0Fdq11BdZdommSnH64PpKbhksGJLuJ7agAQ31mJR99zKTH5QBqYC  G8NmGH428X0RGxIemRrcUutJkMheRUEUBA06xB61zw33rp5UAc1mk3M8A+upnVJTxOgFKIoxryWI  RwMH/AcEaADSVqHoEzkG7FTAE31NJrnpv9epFisWULb4BQMR+9etBbIXWj0r1IseMEzSTgCzZKqD  Bji6eqhy04f+T4kY7aHqB7NTFB6uyISZ6QBT+DgoFEMtI7yaVzlk1uv/nTEcDC7ZAAlrOwcqKhI4  5bs9NeH6Gzy04vo+CpgXhGMIWjir+cMpFKcQ7mkIMlYmdeUQABAHIEkwgKoEZht6O1JQ6oTwEd4D  E3IRDKMAFEAmuz1A5LuQLBF9/z0L73UpPCizCAv//OEGxKmSLjwA9OlhwHRTgz6TUUU4TL48D9K+  uAkv6pYJG5OW5zwFTzngcIpHGCKFGWGoJIYBoLYGUw7ouud771EgBB4EHBVjBBrWt1tFAPbeUHom  qz059942KAQmBCTrpwQiNpCqJDb2kYbljgLWfAEHHvondNcAuCfeCm993gqvWN5LGfV5BAK1cc4X  t/9GIry1VmCvJRtkuP3WC5EL2QUVkVW0KZHpRgHBQZggFnMCKpgi5mchYBF4jyc5Vxx/K3wI6JNH  GncjHSR+kHj4fAkgRgUicgslAXSgaRYBKmnyJiro5VHtQCpLWTVBgUFnIiyBmd4cwUhbYXVV0pIo  MPowKNrc45rfDKL2L8sFqvfkdqcgbe76ZOWM4vbrPXMHvBKwFGrLdC9HqIDerBXigT9TASQKYaLM  FAaQWZmXEwVGJhBXVqEgW8YSixbIEhAi68cGHF3YQCQSCwbaEnQge6AAGbYc7hGN+AQZmhTbrLaL  HAMYmjkn8jz0lfINwdrR8CkiHn0CkBGLDE43JjnmdwPpenAEo+wCZTpwAov+lq3R5wKmWDwBA1Hv  JDwMPQsMZMlBAgPFyXA7nu3OEIbKEAVkD8/5yrGJseo6+0zWqJIE6bIBECTk7T01kN1efHnW7hPT  HenqALy5qrLwOxW7b+wGh0Twof4TCQmDqoccG6BXpRsEDUXi+LlWABSxpEEVrOOf/Xi6S1aBKvdW  4VaBJBhLAUICQ+lDAZCpVP3ptf5c1CjUheQG5BwtUe/6GQK61aBOa/8H6YMy+vlVEyKYIosHwCRA  JjtHAnLUcygNquJT/uvIcuoyyDJ0aXdTLwR1CmWgKyj+YQ/pIv6QqpQwmDA5ayqtABp+NecaH3l1  SAKSxOnj/Uk2b+QdL28pAS71VZDHBucABHCeEfQTDv8VGhIQVaXeUixSzfYHUlHrGFA5AAB6OUY6  XjqAOrI64jr8Ok47ICVOOjQ7IDvAfwIcXIt3/UXBPwF1Bf7wFkLMeEOSLwflCOibqEmhugBIasuh  1Aw4BbDwp3LiRAFRuRA6AUSRJDAKwAomAeR7uwobPBwKf8ACdQeqyBy86xmQ8M4EzPdIBMoEyJpY  zhPensVt+sDQQewt1djUvdog3gTcVVdILPTKpSzgLOhe7SzuBOyqKzYs/OXSLPAs+CwDlcV3/Lup  +Sz+2xuq9GAKDjmy55x27tZ7zqOPnw30DfhUGvx2A2MY/pS8C/4q1Sv26PQpCbia9TSuSwwp2pmC  XTlICrZwggQAAf820DbGEoqhYKO4BFDAl6O+BIkWwATcESfC2BC2kOewCPIdqlApCikgED4/gz7O  AKf4AQCboTwUCwY+FHUYURO46fYNHlLbi9cBUGzjo0AU2Dbjo0IULjQELySkmkMKAemuPupKNaIB  8sUfZh8MMy8YQTDrtW0k10wyoxGjEF6Rz5AAMg33xgoAdE+D/kjQlAiULRbaABCUoyQUKwa6ABvJ 

8v53CA+qRp4EhwS0oyYUsbhOXD+slgqCk/gyZTQCPFD1Dug8/YVoGDw16+YIRl5zCN5MFUxw8i/A  TdkJd4njK4WDPsj6357MB+GplgTEE10JZHXuVT8JwDsE+LAp0eAFAgAMSRljDEACo0uJUSgWU8ji  8Py8bVXpM/8ARoZQ6+54Pcw9GD4Cej8VtAJ+PpY+nkb0EAKmPqYcahICwD5en4Q6VpiTDXQ0oQZA  YElQZ6aQ+Bdmd7g748QYAIrGQP8Ai8ZIUFaIBAZT6wmIuFBIQEN4QwherQS2IVfadB1cEC+Y8BCg  4I3Y5iiI3+AS3vTYbbjGBE2Ziy7WGa9R7R5B/+CajAD3BuJWYjYNKfPvBMBUWgy+BBWatdJWxL08  tB6yUzGwSk57rwG2tMflaq22KwQQ2fAmJEojB6mZMQJFqcEnAigcwR0CoR4B0+sgFHUquAACsx5N  NDUPJInCE+I6xyIlgLEFsQTT4AMGLosWO+Lp/9DkD8zTUAQHz4kmB8/WDyjNPtA0JQQCMfwAdCQ9  ldSv+g+lGhaJVwbt/BwlEwjrZhHyNzBAsfyLn7p9BQSaFXAxIWuLFQXqcYaEiCXrppC4UjXUxXGM  v6SV2m5slQzIlOg9ggqVcpUMPgwTFLoO62cMzbp+lgpLE5YCluaJZ5b0HGaWJesp6aWWVDVyNveW  JpYOdYsn7ZWI2NxexhTbgCkiFCBzBP8DA+ODLmEg6Qf+DUuQrogKVDRWoRLf8ykqXTzioSQG+oTs  x0bkAOLonR4mENDOrKgnoy6jJJubYto53De1Dg4K3mxHgOoU7NMj3APaJYvqSiy5HK3aMo/ORFtX  7S610jDPQDnei8jR4APBBBUj3i376wss/7ImKAYMIZwLwnRhghsT9gcKdFhIctT6BMWHHg/OITHd  PQEAczJ3ug72/Duxq5twS7L8JCmJhhBk/CCaQBCB3mbyC0b0dRGzfIgOkQl5EAYHCybBe0GfXcY2  9jL4dFW6NdgALFOaVeYsISV/IiJ7SeR1xi0QNtMW7lbwNk0Uc+5v0PruF+j67gXZ+kQIwH765BlG  rQAhSwBxNTtG4nM4/3biNFS4IABwejKdHQqhoeTyElYNJa9NIb0PyVC84isK3wa84wjPIQ9+0Bb5  UDvi0egg7ALt7RdaXdtKXS8i9IWa5gFAtuQCXITPkfKapAUkzBZn5mR4Z3xy7QdI41bY/07Yotgf  1g3AfWOYk/yJVs5gzOCbQl5Tg2gIOdxMOrJNGwAxDjGaqyRSMeuEnfAOBpKtoZLBIERkLQIAPR/T  sggPAdMSR5C07KDjAEjGCYhG4M6wSSb+vktfwJt56eAAi3b+f+Zz9okqZHAE9B0UlYvYjsJTaaJE  Olx3RHXBATyGtVjH7a8AACCo/AF2Bv9O/OmUAIM+xKnui4oKRBPa6YEA9nHK/HMrpLX863OQJCQi  dGvr62SwA8EAtz9nCSRAiABMRlJHAgtHskbSRudKaUbIEFIQrt4a7hR9KwIaAkgH/Pv8IKEQ2um/  /JBgwbMS4FyJq7eh0suLVuxWgxLIREoToAysSNShb7UhksG+gAChHBTlEKd2JxgOmQZo5LgECgBl  TcgaEsB9dr0gov8AHqHgE3p9Gt4agNLEsgCAcGaeAqEoev6EL8KYBDepELsHgHQLeA/BeUC7QqMf  pZr6EnEoAprofc3GRifaPMoSBDzKfY8SPEhdMAJyHTCKBEJrIgeoAnQOsGCgo642EVmjz55WJwF1  bUVQCkNH4QsKDhfEHZoJbt3rF0VINlFHEUcPEAG8MxAQBQAJPGFyBjx6dwIkX8M8b8BBC1oLDCDD  VVZXAFzaikYK6N//tABfruskEdlpbxG7XjgPvAc4dghLB0sDg8sBXsQ8MAs5CwI8IF38oAl1C11g  p3QMPHl0XpwpVBN0EwtO914TbhNGE2ZEHRMQi8Ngi16A6QrR44uffhQeFVpVdxbkFvRdu74VJqb3  ARYNThLEfg4Y2MV2Cri54w3886Z8cVCwqrj//x+fASYiCigOi9mwIHAK/AvJ867BimX/MAyA/Al0  8wUNdO4FCnRo5elBK9mqjNqfAVM04zU2rDwtdA9gODwrdAvrAQswcgkADAka4vXrF5A8Lu3rD1UP  kBUFFQKQSYD6h8sry47ai8FMbUCG/MQGihaMorhyoY4WCAAjiw6YFsQ+lBbFNpC4CBaLRgrvBPfh  psQD8AsMC/iJdngAA372iF78iweLTwKLNsZfBCAXK8Bc98NNdtZjBrsB+y/xchR3GUBgZv9O+nQX  izCLNoNw92QG68lANQxwB00GdUm7jCSO2ykaK5Gs+iUPMEfQFDrE4fORdMdPBsCA/Q7ZOs18zuvT  gPwtAQdGdcRJRgAArXe968K5AgAD8QP5/fOnd9gNukDrt3IMwEogU0NF/+iW/YrYikTAAwiO/TrD  WzZ3CHIF4zCDBOlv/0AmBEQC64k1Uyr3hABzNmBfFax99OKlCzSLTnEInTnRtG4I9WBmFfgLgX70  /xgXCwRAKSahFOWjLPYRJtIAODolHpUDgdjHg4HyTCv/NhQWeU8EEgQQBA4W19or7uRv8FW99ysc  IxoEGLprBBYrkOV6K3RG+5N7FNdEtAWlQsjrAp6JYKl1LOaBfwplxDyIBHzUCggBNnLMQIQSC1R8  Cn/CEv/jd7p30UYKzvaccUMHkkABw+7SOQnlp9xDaRFYGdl6DlYwbrorI2wAqYrdJjgHdRP/RueT  +IoR+FxMtPIKxuLEQg2APz3P3jzQCY4iJYsYAF720eMCxDYAKCaLACYL2EhAAnRBYhdW+mx6uiL2  opYii1ACXboswsFjbpIN+pisbjMIAlLd64m4VjWM2kBtKlbHJ6hExweT2sfCLyXIBBbrc7LcAMME  VoN+CmRyJ4EGtwt3wBMhfggBchoGDHf63eoM72SCCPfA4385hzgWczYUHXUoB2wgaSL2RgoDdSAA  yAYr0rlkAPfxC9J1FokgDpABDnQIK8CZfXCmMANzA/9OFy4N/ORCAiQ/GgC4bQGZUlCfCwYK45mq  m4vIPIvaPr4HUkz2K8iD2wBNz0S+TfYDD9MPlgLR6AIMAU78EV45bP6chx4WA6AmrCoBXRGhar7M  XmwAXBLGRvUqjUaQBfQWUJp/nQA4imb5KsCKTvgq7QPBIPxsikb75vLe8Aj6yMVbOi9pixPf2SSg  BBuAuOsQkIB+/DByBgfJBjl2Nf9GHug+APyISADk6yMYdyrYrtpmdQ0LIsJn/GctMADUCp0yPDBz  89fQDQotZaiB3z5AcOmZuQoA9/kEMPQbL4gfEQ6ARpXCMAxXAZQqVkPWO4/Gld7eFjP4whbGQt4A  FEuY0IxW2Lva0MQN3AUfQsVMED0GUiTiN+LMZk4FkCzcQEjYRiID1vgN/2yaxNaJOxjatGoY9f4Y  /mpCGN0Y6eMAkFftHMEv1TRkUharDl0W2uu0kHW9aI00JwNfMyoNjORVD08BA7NWyIsM4QLtwggE  8cWexyIQEgMSgcGwL4lOPl1VBCVwQQWXEOL1bdwcBlR3Xwce2g4oYcwELgR6BK6BuQKDftoAdQwG  3BZOIl1wBXRKoQQWB3MIg8uBBdAH6wzwJMz+ZH0FDmwHGrrLTZFU2Y78JIfrDPCduJEC4AmQkSqq  K8D8FwgfCzRshrK1VuH4IqH8w93mg/oawDEnBT3kQnMkPjmm6QgOVEoIEggWIwYIUYFu9iuDXvg4  yRq4tQVwNh53sQLq0v5cD8l1+PD+BN7HEyCbtuBEbQH36YtOe4t0Qg+7h/MDeSIMhPMNMhiBCVgi  iU789gwaIv3+/RMlkQ6Ly/wDrhr8O3ZekSTi+lUILvqLXvoKSEv8OYdSFnLvccEOK4dQjvQ1sPAM  dgeDbgariVUIoxb0l16XymH6CRLE6ii417cSxn6D2ganstjiST5A9UhDTvavDtj5VD7CoTMSygiD  7jkEkAAJgeLvRgyrTl/9kHAl+BZQsqJABfoF8ognOAxZDuiBipyIFEV1EgoXtwZQBJk7AAlOwMvi  DgF1DBgDLmdo65ASGg4CdSZvdAVdO28DWquKsRIFO3USLmjrLrl//KKdoD32Jh4kcxYDcErnUnr7  +3icFXZpivXwFeatNBXUdCEQ0H0SlE4qvCoSAlNXIVIhkUmbIesVYu76REQrfUNCCuBiMYteDoqH  cBaIYHKa+9YUcYneDY0wvEcEB+sODYrDvKYMAgQFMWgx7sRFJsYAADG1ejqFxrB1C8hqvZC4YtNd  UZILIgftzD1yef//JgUm4hGloI1GAUDWlcyaTgECBKIIG9A9IJEBlGYBgeEq5CV/3EQAPUP0PUTo  TDPlDUw2MDs9ThVMGnSDBoIQhwQEEutEimbnk5n75vvOljWUjKPHZs5S3bxriyJIEM69ygMb0pIi  1ZGayAOZjhyVh4CKhgq7cIBM/5CQsP1QWXVjSqp45FB0iQbmUJIO3La1DOuhTazjNPbXdjS8EGqA  AIB+9vxY0FHpfP93XGT/NgzyXj4KBAgEBrekRmySXEbKEjZGD19S6JrYzwTpLv9amyoAomzGiVbI  UuvXkGMzVANjAqg13C5XVpnZSg3aR+BYFdsNhwwHXxIk7A/sq0lEDgIGICDs0uxVTSgFKLMhTNW7  JBR+szB7BstW/RD4P8OmEjzUldYL0AEk4eQBxF7UE8jWC0cGdOFmAJQ3C/Z01vfGAMRKIHXQHl/M  geeHZ1/KyuzWUuAgQdjJDGOW+biCSQc9Ymo9CECOQ40AD9FoCDIBPYAI8B4MEOBExkbjwyl3AoDJ  RovGiEboisQF6fiBp00y9CZ0jrG2PWYPHawr1Sz/+EmQovV6LKAOjX8Ii/BSbmW9/klnXXZ4zsAC  WZbnLvGA/xjHBgcABlMO6Bj0j0I5DwFs7KZUlqIA9F8LHyGvQn8HA42xU6EpixZdATzoUlDpTm9M  /3PMBOgBBOllS1766YFC+KeMQgF4XZXrw5A6xHv2OuSo/UclmZDrsNzZolgIGgsZCxYskD5OLnDr  CkFLoPogdRBySWj6muoEYQ2APy11BUmq0TD+q5F3FCt1c4mZBhEckOsTIPduZ7j8tY1E0Fy/TkcI  2R3wVppCBEm9qAJ113BG9wu199imr/ALXjGEwEJXVAB9bqc2dE0KLgwDoAocDAB+aP9ODIteDDAi  NOsnMXSxkiUVLpX87mT5IYgQACGVPAvbf9VAImpHghxGLesNu0gPICh/7RUQloHstgC4WjUuwgQq  8wzg7IZs/4mWbv+4YqEhFI2Gcf+FFwoRE+jKPXoAcxHuXBNAynvFJzk8dErRPCw8CrhmlGRPz5Bl  CQgOPIiGcAGn/+4TC4IZTBkH23nHRvIAABMeRcQPjFb2HauT+wr6mywK/Ar+2IaftrUEvZozBY0K  OMZK/wEuAoB+BiB2IYpGOUzLUMkEaLjlP62WYIU9Ef5LgCt5EFbrGgLCK4py4d42siP3AhYLAoz/  RoU5BnLeJIaBhO6w6xuQcu0uji50r6AuK14CBkZBnJoaAaDwNwYlid78QDsx9TBzKU/+TxpxWgF0  EWtCR65gt3gBOnUEgzSr1EkQJAfGZ/5zUIvwKyS4XO5T4YP+CdXV6Bsw2jvGc2TD1QEb686QC6iT 

LC8CLHLUyTNhFGERVgYZipRACHMaoYA4LnQO/6hyu/yBpqty4DEYkismnyt1HyuLdEgNSANzN3k8  7DwcPIPQmJ4AV1aNgGCJhmT/PT8A+aERxwkIjUaeljygtgWGosBo/wucDOW4IDsO6IZkQq8ae7IS  qlm05wrwC58Zlazq8wACgeoIEpC4dDUemExepbKSAOkTARJ6pnkSwhIBEk1jgBLAEu8A6m4ShhK0  E7au3Y7rgCyeuIw167CqqQySDLaaqgyYDLwMngEoDMKQoboGixa8Bno9wYL1NBCEEJhywMykNeln  /7iqPIYMsMzMDG0MtgZ5BrzMzAZhBsIGWwbITCoGVQbKEsw1MxLSBkMG1AYzAE8G2gY3/xgRKhE8  EQAAThFgEWwReBGEEZARoBGwEQCAwBHGEcwR0hHYEd4R5BECEgieAvAR9hH8DOoRwVy4nitGtou4  ViFXtjWNWrpGomMZWSI53XU2rG04OWj0D4t2uI1C7W4tJQE/AFdWPpx1bMdGmgEA0AC4FgYeUPlm  J7j/VXq4P3OYeyjwObYQdr1PFgb/BKf1K4i6iBHEFopCufEDiTbx3Bng8RF1MsZCulz/+UBU6yhs  FBNftlecZdqcs3XaUlJGb7jqi74ljUNP+2sDHVLbmQICFk1WFOo4uMIVHuwmJMaEDlYImrQAdBbf  EvxYYgCpgLvZlukYOCfXCheedrJ3zhwMxeviCZcoChO9x8//O5o7x4Zi0AYLALhWGGaJRpjBoBVJ  GDVq/kkPQL4Bd8l9MqrVmeD/KpZLL15PpL1IT7ebACZsMv+2WNKre5hZLntk+niJa+/Zix05CHZ0  CnyGBisOIacDCQVWBnpAceBxCAU1cTz9RzCNQsGuR9IRCsJ+oMsgdHb/6foJ/0GGOVVc1ey17Kwt  IM2WAgJ0CtJ/BwN0/Tp1/vkq/eQywi/9Iv8Jlv9wZFIIBqHcrLmjAkiWLYLcClahGAXEw0LKIMU8  ow3EHiYFG4oZARxPmkAA2Qkn6wtQswCkpumPALgSAPdm9twCNY+oW7eqANffA70mLNv6jJytgT8P  dWdUOImwiM4K0cAKEYkHVlGaxheS61PgVjEc/BRUYji46PnRhAxWStoyPhonnt0MiRGH1Sgf75YS  uPaCYEj2JjmHplDllmH/mq6zTf/8yRbWi9jWFQvcK2ULi97fSwJegz6EFqTuAHUjjPyGtxqKCbcQ  YaMWC0K/DAchXppsAS7nuB+C/zaIBsMQhhaDBgQBgxZsWA0ADiya9AM3AyhiGFdW8gX9FwQUiVb8  XP8l0vy87LiKFvQkTV44oYSF2wBWvTaMXyVbHf71xTbcoeH/TkjwOWE/+Ppl45XEHinLQAQGt+cQ  iZXqBReCrBeWBvcl4xzl3yQhHmOC4TGMwMR+9j5NCI4m4RcIvVpeVIogSgIP9gcadAmFHBGASAQg  EoB0DKwUi3aBxtHmA/AEmiYdL5A19A+kREfrB5AJAomCLPAANAwI6UU//wrBfZfzAAeG+otW/KOy  BIka1gOLHrXZ9qCrnAL3o470o34Wo3wDcxY+IgUQdBBu8nAj67B9OagUBgQGdA60vKN4FgXjpB0s  XPPYLMsuPA6BdgENYqN6+MHQdBmLwgImxFhmNWEHLtqc3isJYjqMIxDpmdwRQ8TpFYN/ML0HLE4I  xDCaggsSArgEk4Yi9AoMKWzjEMVt/ppWDBEEMwmMLCBGRLkWOAgWCBYu92IELAQiIrJFnhjATANH  JCYTVyZK7PPuJGU0wgdbLQD8w9fJUUYV7JqABk0IjqOCFv9pjKryOt0CQDYWiRZ+FrkoK0ca8PnN  qwYXi8+uF1LoUirmpei/gB8Mcg+JkuVHDg4y7zdHCgQGD+H6uDAzn/9DoWU5BmD4crKDPngW+jPE  Hk4kqVxQEi2aK9JN98SGIRw6AWk0KhAd0hEoGAWl18l0/TlvQIDZU4x4ElahOQsGHUCjliICoYAW  94C3/ET1mfwmBbnjk8qbPBkByprWB3lVDugGmfYX+pkq/d323VvPvdw4XARaDKHGE4N1AkOcJep/  PMwlQAVXJnmAHEeZUfEmOQhzoUUBIOlbQUFrmu4NWwWiSIbWCIQePJT0DrQEDtQhJP8tUXq8CgGD  nRju++gU9e4Bse4ra7HyEOHTMGBUHnb8LA4JmOeePneRHxpXKt+G6BpXBFIEUhvcWLm+BhgGAnq1  gz6CFgF2E+dWvOsFlSeDAPcFdA+4DBaSFA+QTDUJ9jQTfwNnVNaD0gB6s0HwA/aa1CIQAcQIWu4R  XjR+aC7gGRXUiwxZh/ADBZfyA+bs8ccG0tLZWKCfaQahAJCMdyQB+sHgXH5MbvnUhgw9wKsd5AUg  obd1DiM3imYqtCGoPAcdAXU1Gc51M5NapfYoBVMsCiUKh/api1cuBzgFBtIAo4YZsdqy6zIaD02D  JJV5oRH4QC9gBlOaIgJ85o5M/KE+izMcPlFmL8VZiVnEVJWkylbyChScoTrnVEV+I1F0V5pCXBgH  BppkBU+hijC4r4wWdBze4g15L8OeKjOHmIw29AxhuiIsOZ/3HGRqPnpiHJagmNRmCJj2oXqqAjpi  2vhzVot2BodV4yKaGItAMVAcjAyjkASSeHYI1T0YFJQUlskiFmmY6akCBF5Fks5XVmDhKf6khw+K  2MQ2nkw7Zy3rb65eHAhctzdVBccGGsiYixagFjnBYYwCuK4XuHOBBELlikg5WEX/ME5pvx1WHSlC  SJP6AK+7X6bDk34+DIkBNMKb/okeSWNudopjEh1Du5jpBAKIp63R6EAx6xOVvyj+SCkuvN5jURwG  duUjIiDvFyKZiIF2/pQElP9O/jDSuXXasksmBP5AmySKK3UHB1tUyTMUicRWmgIWXcIfvJcv3VJQ  ykvfmqo2An3rYZCDPgeHpMpNd+I/8KrIqgSwx8QWOU9A0b42ohaamrHkrdW0U1Eb2AhW6wxrJcSl  DVKro3ZETwalZMLMEFaZg5Sjmv6c8MEO0eAFAkEj2vp4cgueG6AWn8IgDokv9vRhtHCjNBdm/KMw  XuMgQE+DOADe9mVAPvxy4vILshkCiRT2AcQPuws9+HJO9ly6QffxeJEQPNHmcCNcCtPgBgnsAI2E  AEyW8IM+jg/QBfYbLRAAMKIbySPBBQfrDQ8/XDgPP3NhmIR/TrTMabhrd3q/Z9JAH6E0ivhyVDwJ  wTEcfweL8BJB5uOiFlbF77VT8UlW17dgOik6BTJbCbtAt9dXDBACifL9q+cg7CSXk3f/h3qHjBgC  6bIA9BrGRwKbZjLndBLPCPIO2ATCtEMU6xASFgH7Hc1GDVOH/SbBH9sLRSd9qSeCSG472chudHMO  JisP13c9m4M58nv0QFLwqs3y8P573Bs+dLHoCERiF/yOK35+CgHoVehF/4uvE+90rxGQkusCsNf8  sMN3OLA4Vbg2oOqe04bqyxiIBmk0EW4ckLh1O8cG6Gfqc65nuKYcsti2QdKGhUM4rAqjohaEuaEM  ZMJt+C88mSg1JwS0IYWhFpYxhOLR92b+UAwSTEW2N7MaoXOohIsW6ha/5PaZAVKLiBEVF4KZSLC8  H4stOOCWiHemmjACKhUTBLBWocFqmBdSKVgnrYpySUgUXrITdhpcEiHw0VqLGB4lCGrwKiHC8HPw  UsJy3ynpyLTj3iplluUiPe5JksPsvvhMLgA4NZef2fYODI/49yaHAwaQ35IWUkop1vjNFR9HSo7j  Ut1H+jzwe688Tf6fRzYcfN5kNmF7Uzwr7PaFMq88cNgJV0vi2cI75RCyIqk3nGYeNqJNpb0MvQ6T  VhIIEfyajNQ3JFoPPy3Fj+MEvqURiaWEPydZHYvGNZMnCEoU0wF8SoxSOfZK/Zb6SvYq9Ur6Sgaq  U0oIH0oIl/M8g0uTvgNcWNAMhb/WLe6muWpf+gqb+jIqW868uN5i3Hghrk9ASPTPA9FxVlD8d2vb  8Ox/bQkhZvxI/QBZo/pyNygr7m1hh+zMoHYpyBDFdyGDArl1FP9O+iyE4EHoV/55tBDrkBTrq5A4  E5ICxxsAOm7q0W64cIN+4URnJv4ThSIkV1agL7yjmBZSxN/eItbR1D1P6Ef6KltjAiLecOpyEolC  cOokYmjqaOqGMwno7epy5yHhOGJAWNcj9j5AICdtQWWHa+z5hcw1SJJI35QAmyTsiyMp4JlEKeIk  4AQ/T+QYSQadeMYk+CsQPQebF0nGyuTiuR1xZR8I6XQXcgGQFwCT6hfHV5JdFeRFkEhA+KFSf48T  ODFx+NHoKeQtgkjj/NXYE+DVxvLrFLUAUPKjdCnPe/9DXuYkfiTGCzE5HnXdJlbSFHsmE5CkvLbm  0SYDOZiGPHdDCOa2Kzbn9Hi3JaHc3ekXndxjaBcdJugm3B30I2I+PVtL1Q4AdP8Oi074K07mO/yT  wXM23BhzJmgXHJSfT1F8iGAd+ElGqiX46zSqU07kBDbkKnc2+jbmSDeSajSCknFt/l0OKgk+Uegg  0Xc7+oMMxf5QUzmZfajomV9CT5rvgwGMdCd3SYPwRRG576wWrN1HCiAO6024ktwLqeWQuAIGBFR6  BggG0cbzLAYp6ybMOAZBBiAGAAK/jxbUdMthGAUDdOoFBHTZBQiGinTaBSB04YQJINUrBrJWmAR9  mbMkDO+J/Cb3BzFLfnF+CAtiFDcuFQ6LeidgVxZKzvgqZ6WmliPRBBUtCDEY+i6GIQUqCgUGEovD  jMJalAUITghWTk0JgUyB/aYxgXYIMicP8y0TqPT+i0DypTqCMQcQ64UF8hjFjDB0UqF9OYR3Un5W  iSyVG4kVhupKoVAEpVoCDCBS+lRMFDwUP70SUghI53zr5wjoDjqG5Ti5JA/Z/3A00eTmN+BpxSEr  N94xISHj/pbYjsJfhvlQAnCqJh4DHkdF6AQWgB5BivQoW4quoEqKCJnq/dJzyf72L1UcdBgWmvFU  /c06pyoejDQeNm94NMWXBMc8DN7JKyAP+GaeOtB5VchAdhnEdHEFCVVsdRwauqHc/EWuSnw4Irr8  p2oDfFh8EjLOagkSmZX3mBuqViD8+FW9QBZcplJeVvVWAHgEv/wWi/AeBx6O2qUBRhEfuA+M2lJV  9qQWRk1OFkbrytFGNhfr1gyaeff75Zoy57LqOR3aHX24IePsrfwGn8yv6woNc+VvFHsl5kAdLRam  B+FMOkNIKWhZUv/lDDgHxq/8Jsb2AFaNkj80Y6x7SOgDOyUo6gZir3a1X1WKUuMkiV4KOFzDxgAA  U1nlqTloZs5T5qVsmTMM0hYbBBvpK0AYNgijFAa4/0IMxk/9tgHUPiYMPhWpsvo7AhUYkgYH3TL8  FlBQJSUP3gNA4VAMWmMX2HyuISq6BrGsSGoWPoVGFgizxwYMF2gOf5IGNFZXBFwii34KK9KOBphW  yiaKDdHhi/EEAwEgBOaL2oqcpReLhxAXGiAKpAafQhf/0HPUHPgdZXRAMduAnIoFuQwA9mF3NPD2  hCwjhYvosg4WUJr+C6S5OffjmmFNykvbvtQlBkBHJZKDxwLrjVWavBF6jiLKC4v4cFyJFZJ9dRhf  m9IqnU6tEJpU+quaSpoYMyINmgoOdIjqN6SDpGudGP8doXIIKy+L6C/H6xyQonaLDA0WW//jAkcm 

Hg6LBYSjlgT3D8i1qAHDmgYAoB8BYLZ0AfnDiRa2BP/TcicfwRIIIIvXxD6y8AauxxCJB74VuQgA  8PPzpYv6xyC2+MQ5H4zBIVlFQzpiHYPvKCC46I7B98NUD/1hcjVyD8guSwP+wyNDp7kD6cMMEDt0  nhg7iAzDHAOvBD0cw9EDx1BV4FiL2f+f4CzBYDODNVID0TDAV1NRjNtpjsO/xgTFNoPhyu4QJoMu  CCC5EBljyY7bboEmGv/93twG1ga+C4s1wJILO8N1NllbX+GgVA4oC8wFuJ2roIYLBr6+BAiNB3M4  AAFz6asLcgCeBJODxhDoXglzv0G5AtGpsNgLIYUzrgOFJQRNVYqCKYIo9dwIc8KCVr0+gnwMvv8w  iRPOeYN6oXVCSnEzR2sMBrgiAAAAoc4EAwbeBKO+BKHQBBMGA3/gCsAEcSZPaNkeJrubQuha5dAI  DEjoTggJJRjKXwpQU8wQkMkIW1hzviu7jFqpmh33w7eLmKoGLpPGMo67AgL2aOYHc5brIpAXPCEj  G6kiDak/2Mwe6MsHcglDhi8+Guly/454oFIgNgoDajsgK9AvIBvQACA6ByAuHaAHGCA/CQZ6IPAG  gxYgGmgAIA4gxga6AnOW/DoJw4zalAlXjsL5Ye+YEK2rpVeCBAJc447aX6nxW889iRBf7p2kKw73  rmsiZ61PmarSoiFE6YAIdK2+yghwSfsLc5zoCQLWpWqMhCWEhQbBdD6uOogsDSIKiKGHCwbiBIkM  TQII+UEI9Kn12oql1xGJm7kHKAMM2nx0R8pQWHRAiBo6t8AhFRNtB44QaJY1BXO1W1kBD5GpB5j/  tKg79heckYYamAIAHRaOwVuFw3S9KjeLCXuxi8AeFr04goQKc8Ee5CaaMKQdeaoXfQUqkbBbAji5  fArWCkAP7Ee+BFwNfAboPAQHc8IolAeksgZ5JRMpE7kQon3jBpecJf0GfDzXlCQ0hZ0MDg3S9os/  Bh+Wit0DZgeXsIR0hPPpI3jbxwVM6QLb3CAA1M8nZGNkbhw+aKp01QF0RWgzwUQMxTRIBgjNoAQD  9FXqBAPaVaX7ontizF9NVo9zHWSONAuyU943G1qEdAPmJgQG6AhbBFB0Ct4JdD7SpCP/oQP/6wPQ  OlZvMHwDg+4gfwn64Qs67guLqQqbc5NY1kYmqnQ3COYIPwm+1iSL35+1RZepSamL+9WQoI8ASlnc  AHO86w6QvuYQ0zDMELT609kDq0ABq5v1i/+gsQlmVKqxQbFJ68yxLgqxcBNGy1xN0wK7Iauybrq7  ERCqAgC7hQKTK9iDww+D+x53BiC/0eP/p2YXHTymwk90CgMI0gGwjNuLz47MIMOL/ncIsIvWi/Ad  pLoV+Yvy+KasLQ4DDDP0xjlEA1QKwk0eJMTzRJYGYvRHaxlgXU/5RSbDodHmx/gCA3YO9xAmUdef  BAy8XY80C/f60TgETiUiBfmDttOZi9iL9wxCdgIAq7gKHox6OcOri8ID/vhoxCwdA10CFc5zCS1Q  XbnAJ47YCLAYq62K3Crkq4ooQkadLI7af+EuAAGrrBcBLJtZxquM2KsrUCbAqwPzRjMVg39Ho7gc  8AaajAOu2weLzsidvzhJvmyAikT20enzpXMBpLU/MrFai6lQw7DO3oFZhvmA7wIAEtYEAARUOGyg  FzQCaJZWix5hgxuBAgP++JwjIv82ZzYPSdAEzgSa3E8hygbDgt7KGDui1/pQIcBU2SDi1Wsg4CDe  gphBV4zb0eECKEnrxhAIwTEhXwDAcgZWV7kAAIC8pRcidQbx1rQcKAcNJA0TkPeEQjOoF3RBCXm+  qglLAgJcGAEOeiD9T6RfXgfDAOkAGvzEfgozwDiAq7hAJIS4jCQrw9BU2gCvxwGgM9u4wIMIUFO4  eyQFHQAOUJoResKhH8+DQWQYZAkAWXxkEAA0JzAOMBEAEQcA2Db85oPYCAQLBAb9NgQFBCYES2AA  g2QTAL9aKBQA7++LGWQRwBUHlwVQcm9jIACaAOYfhpcGIGxpbmUNhhlxV9NqEAIsDGAgQYZ/sWQY  aWQaAD6wSjuTIZNt/QiQIpA8lMqIJIgldRKIJhGIlwGlHgkHkSmRKwCp2N2RMpFp6wiQM5APXSqM  NYw21wGMNxQUr4A8gz4URQo6p6ADEeBGABgYIEgAySDYDQBGnhqXDCYDVVNdMQVYCzJJmkltwQhK  A0zlOrdNt04wFhpDEyAoBi2SaA5oIwEpGgbVUEyZQQBODFJlGPZ0cnk/JVkvThoGABlSGVKHZFQA  OV0SlwRZgEl5Tm4AVHlYDIRVAd4YVgBZ5f9kWAAdAuI4HRtkZFm8XCGmXKZeARmuZTqAKwggZgAR  dYEuGGhUrvVpT2oDXhSsb4txAR2seA0c6sDGEQIAUrl8e3x8fH1OYwh8E3xwcgD4EnRlciBub3Qg  cmVhUKh/iYCQQGCCSIRvkGCFSqAYhmCIG7xgidWKyRUHjJWOMABgj9+0MM0hPAJzAsAAzSC/jCSL  Nscr94H+ABAMAHIDvgX6jteBxJ43+3MUAPMWH5pCAt4gM8D4txjACLj/TDaD5P42iSZsJ0PYBWgn  i8YBHudINqNmJwP3iUeMw2AAK97327RKKDaMHt0nFgcwxvy/oDe5AyvPRfOqs/dQ2gBIB+J4Zk+a  VgNc7f83KJ55BAAE/icE/ATgZvonmuQRW4Z+554BdaADk6u2NscGaicRUJZgko8AUA7/FiIwFgDO  o98nuAA1CAAGiR7LJ4wGzScOHw8lurYbwAASb4sOpDDjLo4GDACRJuwsAMUGpjCM2jPbwGA2/x6i  MHMFIOkfATbexxWqFbtpFuUGFC4OLuM2jgA3wTP/JoA9AHQsAzCNvr4n86Z0C7n/f9IAA/KudRnr  5QYeB2L3v+YncBOsmJGs/uBIDMyq4vdBuwQAgKcVvwzAh0SEcgr2woB0BYCPAIYRQEt5576uML8D  6JUAkrAJjADiQI6+oDcu6H8VYhZ2AOsDF64KDmgXXwCaH5Zm/3DkA6sFx0YGAAb/ALkPALsFAPaH  YQF0BAbutD5zQ+Ly6AfjkBsGtLbApQIHfQgH3R7FFsstAwMlFx+APgwo2A0eoA1DBCgVDii0FMM7  93MAgA6D7wSLBQtFAnTy/x3r7sOLeIPpg/6NZMS4/AANgz4UGwE6BFASKGkQiRQZAABWM/a5QgAy  5PysMuDi+4D0JLhVdBGzp+B0RkQACV7uVlceB4tWBr4AAPo1rTvCdBBAlnQMlzPAuf8AYf/yrov3  6+uWXyeIZcoCh1ewyaKMocT0FJKL+if30UkzddK0QLRfK44AVY53M8mLwYvpiwKA+UnuC/Z0CI7G  AYAuRa51+kWXQCT+i/3R5RnAAgPwH1e/CQDovQYMgD7PFAP4iS4AKIweAigxAJeO3sVJ4xeBPDtD  dABgCYl+AIxGAoPFBKyqCsBgJkPi6YlOAAMCPl2CYe8AjwYWKAQYKLpAwn84Ft8ndCk5DQYFeYwG  BiiqmbkAfoCAM61++0dHiT4EKBIgu4vRvwEAvoEAAoCwrDwgdPs8CXT3PA10b0H0ZXRrR04T6N4D  E+QTXBNYPCJ0JMBsPFx0A0Lr5N9BHx4MC/oTBAPR69Pt0emAnxPRqAF1yusBOTEr93IxJx66MT3V  7DHbsQEx0uuXyJX6JwPXRzYA0ecCB4Di/ivii8SjAAD8J4we/ieL2AP7Fgc2iT82cG2MVwKDw3UZ  XsAHujZkWrvrA+OqwUPAdQPphAAhA+t+kDP1OM/W3nsi0p5inl6LUVcnnqrPmF0GsFzzEtEGZiZW  qnMOIg3F9V7SLjQqIbeudzTsNKXo2TSWNM3HHZTYxwduhshHQ/8uFiiEcEdWUzP/H3BnC8B9EvfX  BDN899j32h0giRObqokNGQwZCrq5GQwZCg0e7haLTgo5M9Ku2PfxyUY54F8H0+s+kAwYVvgM/tG2  2dHAm+rR2AvbdfQe8CtS4gTmmqQF3gYGIDsldwdyCDspdgODBmzuAR6Lxgv/dAdmkNxqg9oAWyQe  csoIdH4bCF6LW15E+Qp1C2zjHItICMgPZgwDkT8I4wPRGTRTnfpXCNkQqjXXGte1QdXCC5d1R+tM  Zz8B20XA2QvZBitGChtWDMxXBgYGCEdpSt5fW6hWO+CNAFDIS6T1denR214Hdcl18wtoAVBeW0Re  xcUG23cCPfHsMpG8E4kHifSVfsoGJP4EfNQkIokHDQAkxBGMwAvDdAUmgE/+tdcB9QKVgb56PfH/  cyJTAJIsgz4aKAB1CGAM6CsAdBKjC+iSDRvo9zEeB+iICkEJEbyKCR2cigLrBJAmChHZy7vw5gAA  OV5+7AZDgWAA4/7/iV7+HB5QUI1PDlEg6bACUJoYCgAAvYP6/3RBi8KHFhwoox4omDE7BiIo8aMF  C9JebNiO2qPuP/6O2DmD6wpISIlHDBgwJ6MAAwIAjUcBoww2GAUNDMmM2B/DBI6A2cCLTgYz244e  R+gabgFBEdnD6c4AAABBdPqA4f6D+e5z8ot3AvwAAK2L/qgBdEJIO8FzFYvQA/APA60ONAPCBVOL  94lEDMD+6+YgdAwD+YlM/ivBMONyBesFDP4Mi8Y6HGHRO9E8ACqMYYl/AsMmxgYkKMbyAj3adCUz  SImqYf5YvboKWOJYR+065JgwBusUJv4OO3QRtIzXOz9gx1O0GiiLN+u8AwCgwcDoagA7xnQNJAFA  QJyDmOhevf5N/ugcA/hulk5O65k0mQOHwUcmLos4QAeJRwJxw1GLRQQA1QMryElBQbr/fyY7FgBg  ICh2BNHqdfWLwQPGchUAHIhyDffSI8IrxugM9gbKCxvlOlnDUoyBUegdWxhXuYvwA/LHHQaoqYWL  1isAANdKiVX+WFlaw1NQM9IeUlLBaVDgBh8BQLcfWlt0AgvSw0HWbAvblUJCRVZXAAy8dBK7JiiD  P3MpHgDPB7gFAOix/3UFseskuQGnoxqjKCiWx7sxBFlnxyF7NiwoxQAZzOhH/g8ASEwGbCdyNTkG  YABmJ3MlBQ+G0dixA9PojM5w2YufK8sDKyH4i9gBl5JYchAk8EgwNquViy4yARYEGUjNx+mt9o4G  jwpYJoc4vxUAAIBIdQfoUwByJ+tIiza8J0iA+3QRO/d0DYtEAZ4wDlboOgBeczCVgf4x9xtzBOR1  GW7V/7Ydi9rkccXR23/rtEgR2PXpkokEiVQ0TwlC1gewTg6LoAT3OUwCdAxBdfL56wPYPzoDHHI5  i9OOwWh46U45HswmTOk/fQIVCfxHA9mh0PvMfgZyDRNcFiiShwQk/YvRw1Ch9oMCAHbb490+Mii4  ZACL0PfqxqD3Bgu/uFjHBjAodbskFw8ewKsRm91GCpvcRhIAAAgezyeb6x6QjV4KmgYQ3oOZIAgS  mjMUCLsXusuwh8KapxENt/4KuBDqN0VmRbud+hMTRU6tU0XrFEV2v3VFA6KKBs+D7AQvmkASZG5z  1VMcAhwCJ+4OOASLRgdKBYlG/IlW/qcs5Qyb2w+j6xahp6L8moYQmri0vQ1J7us73+LT7zt2jTte  fTgNc67UOJs5hgk3BjmLdg5WAm6lBleaGgF2HALnJAP4K/BWkwOIEUwRPUAAdgM7B7gF1Qa+PCgA 

uOsukIzai8iOXgyL9w03p0Qo88+AGhC+Cb80KFUrwHMQ7tDoqx5dWfpy2r4TeoS5dYv4rC65eB4G  T8kfjNOO26iL87YOoAhV6ABwuiFdRovBK8IrRhR+IAYAWfkr+IA9NXIVxgUwMABPO/5yCQ05dPP+  BesEQgAAxgQxgPstuwEAdAFLi8I9AC4aAH0BOzdyBsADuwyLRhIrw4P6AH4EgPdL6wFIg34UC0gT  gVXvFisJi04SsCpLjFlnUb+wIDkFCVnBA7AtqiKAi9k2HIvKO8t/BivZwQbg6xOLywYQK8uwwwww  Jyvb6yYwJk4UAADjLbAuqvfafhI7yn0Ci9ErxPHKh8ohKeMUNzM7CesMMzGFhzs5sACqHxrAACvA  uC4ABUXwDoCz860DhANWVgISLg05mGQGHhXwsxAAZiAfW9UOsGsMFCaJBdvzdYYLGAtUABz8i14O  i1YQjNmOwQAwmIvyC9J5B/fbg9IApLh4uQoAkvoLBmL38ZMDkofTD5AEw8ILw3XoC/Z5As/2ThKL  34HrOFYUBQZ8AUJAA/M7XgDOfXAKJybA88YFAOswkP0PA/kvSsskDvJJCdjbLqof7BH4B/ys/ari  +vODCFP8nIzQjg8AwJ/zix6gKoPDDIv7jBEHwKOO2Pzyo/vZGOsWHv8MHBoSgQsqdB6wTokYiXf8  xkf+A03OUgRMThjf607i+1AOUE0HVMfGUOksBS9V6wQrWwbYSmG4Pq2IRf47PAN0LZVpP8+yEo9f  /GqNJouDEgcDVwLrFA2Z64v+CgURAwwBAYrai9CKxySAgIeJ99qD2wCLPlvHDIH/5xFNHIkNiX38  gQF4gP8AdQ/GbgO0nujvkQcLmmP/DwdVvWAw+IeLyzPbjOhPD10YePGp6WFVOot1/IoiTeWrsU2y  /HbSs/4vdmVyjCWMIGlHM8D8q6slPsrrAhAu+6mh/P4GBAzrEXcGGIB/OXUNi88/d2ODLiM8VXhc  iSYcKRJX6MQHnWjeXevkE5Y2Tgf2TuGOUIff6EMe0d4H6+kx1CtIEBeLSGnzikf+P/yrBWD7uDEZ  ujsZ6zq4X4YZCGQIMriOCJMIKlwG6L4Hp+iDB1CAK4omEimeWHMHQXDFJcOaecYb2J+IFrgEupbC  LBJh3VNRizbjAX3uDIkHgHwKA4t0eAgIdQT/hv/SWVtIAJVlil3+AAMy//YBf3UTgPuECPZB//AY  8HUIX8sIgHT4GIBAK191Awvky/ktgBT4IX9fohDDBdDzbysIFzEsVMgPGfylThatgALu9ICqKQOM  CnEFuI7A66ro5YHcAsGL80mrHut2GM2qaRgEGF5VNRi1GAwYrapGGJ2mVRgUGC4YhZUgGBAAddWt  GG0YMzFu2MYhsMp9/gd0EIe+BBA8/5f2KACAIoPDAr8iKeh4Aov3SKsp699HPKruRwqqur8kGAar  6r8MGA5Oqb/0ARgWu6q/3BgS7qq/xHoFGAK/BVbov3ATAV7pOf/j6w4cIbtXHLs4cCwXuwESu3AO  Hg1h6wi7NyEcwLsYAENqwzo5BkEG8gYrg+8MEuFrq3X8ADDLi30Ig/sccy8F9AIYczga5lPoUorN  CDwlQ8Q86D0Vv4f3whHYLPIo8wErDDifJQBB0TAY6NDkCuAWnsvQ4wKKwJP70OcC3zL/kAwAqUAk  /LYAuE5Oi/4r+7kFAK2HBQoohYsdR0fi9F+mup+2A8kyTAC9x8BSBhgpMDSwhPEKLMUzsIPxCjGw  gSJA8QoxMLCKgz4gKTJDGx4pPIzID3YXMirkJDOjGikKu+OiFAiAMWz9YjYSoRnkfAXk/wz/NiZY  MPjDi8inHoCQRYoejtiD+wN3FXQJWwcEkzAp69gMCjaJDlwFFmj4g9cB7dMfXU3Li8cu80Nuej2+  EMOtJxYYCHZ4RDYAjAz8M8CLDItUAgCu98KAf3QliQXR+tcO9NgGiUUCAGCJTQSA5o+BwgA4iVUG  w5EtJRNFBAMMAQAw/B4HjXYOv7Aqcpo2pQLrCKjbGAa/qBi+CztEJv+A0ACPuCpTVf/SXVuPDHIL  uJEBD4zabTPJMACKyIkepBAepirGBs8qABAZPQIDdQUKAb8mgIBT/AN0EjwHdAzSdz8YRgHrINoX  sQO+7CjlgIgoASLrBw6JDqIqi/GGpB64BlCa3N0DoQJ1lLA8DCGAPld1B4M+GgNyAHACsCKYo9cn  0eaLtL4qCy82GIt9SwFSq7vMKggJwFak6Vn/98MBAChM0dP1w+n+/YDMuBZ/0OTDHV6PvakZ4ffQ  H8QHBXTi99MqAQAGdNiK7DLveNXR49HgcyABC5OH94zCk9oGzDvD04sEJjsFwynwpOo6XlOrHrlT  BlMGqfBT8LpOU/AGU3uIFzpURQR1DlMNlgkCZZSA1PzqM8AE+uwpQAHq5G5KxwUqcDD17ot0IDWL  yIrQ6+pBrQwGDK0KD9StivCK3AX40asC4rcECs10A4BgGMoBsYAK+aAi6SWrPTAW4Ed3PS1Rcjup  uRECOtG7FfYwAMYBdBCABYPTAHMIBYAA7xI9jReDFsADgOd/CscK5XuK44rGic8xBXvphqDh33AN  eJHsN4vD63Bv0DPbCeTGFffa6xGrRRRASwCpisQkgLSe6cEDMMjUezDIMMkwqbrZMMgw2ZIBMDP/  Lb1ghekD13EH4+sNI5zR6wjoNYILxugmANHAgCgGdWfRyMPonBw+im4cXRw5ZOJNdU4XLBdPBAUX  exdBADPJADwL/3kN99H30vfY9T6D8zDRRsIFdSHRyi/RAFYlHCXbtQEi6AoAz82A+YH1E9sTwyhy  AQDA8pT76aUArZIK1q2TrZEAAAKD7giL+bYPIvGAzhCA5Tenfx4DAALOdNiB6f4DcnmD+SB/YADK  g+kl6zDDitqsivitihi3yKyGwTgEigPgCYHhfwDQ5NDR+dDcgWgzTYDpfnJHMpg2ADIg/nsIfBqA  +gH10IAB0oDiAQrTit8/isSK5jIDD/YpCOvh4xUcsgGAc4TaQ+4k29DagEEApOLzispyw9ip+bEA  gNM/0HEHtd/6prAIBgfoNQFdA3wGAMCD7xCL14Dmf4H68H9z4ImY2RGL/ia5JokmlKD8DyYCge+A  ADTzJ4An3ycCNycnQXFSWEIBN9Io6FUQLAGVeCH8lKKJ2oqM18AfuhAmTAYIBvEPAArKiQuB5/Ac  UP+LzzO4NQABcDaB6TMEfQR0WwZBrNfyR0XJEI9MAjZHaUWh54BFGGAwReGKzTLtQ5YAfUhDYDA7  yIvvfBQgAIAL+gyOGHQKVe+B5Q4rBAjqM9JXFDDjV7IQ0kkUxi4AEekIRuvnijTjAOAMu9AqisHX  iu4i6Igsww5zsNEVww0Aq4rviuHjBtHq0NeASeL6Ctci3grTQYFggHx0kf2KzNPiiw4BDKGYA8gr  zgLyiEgGRgy4gBQAK8OH94tFAnh2+80CvyVdAYo1dbJoPMd8u3QBov8OAIHOqsHRwArtdGUAAArk  dFs67HMFh/OH+pEq5fYAMNyA/Bh3SdDJ0OjQ2ZHhGK61AONVvw58EgIMyAOAywGL0zPbvBByDKId  dD4XBX4rChfO4ehm1orzLf0hCNd3F3Qj//4ADMF1+OsZi96L14vBTemXCOoA9sI/ESBGq8faqQJw  DtDgcBQD1xPec1AjBuPa/sR//3VFwM/pn/gr+hvzOxgKKafn2vXcBh320HgLgOxwHRB2aofahGQz  AAoqDw8IdluK+4reigyI8jLSEXgK/sx0S4ABf3H2gD7YKgBk6XwBgPqngoBpFCpUaQ9pB8oIanQ6  f9HYhkSpFySAA9tvBLQKcUV+ATNlCsAcGHnm6U6B+/f/NJbR4NDYA8BF1otNAtHh0NkBsFTLiz2L  2DLBmwEWU+1/AuVw04BsAQZtzVAy/4rvgMsNyYCLYGDri8b354vIwJ9Qi8VCAQoDW4v6i8EGGffm  CxP6WJ5geG7F9uEDlNOTWNuJAQtV5HUK6Wk5HP++reka//Kz8HngdF6LgFyP2/QYgIGAKuVxvnv5  nf+DBOKUeP8VLTLJmAsV3Qi7n9cCC4lUAWEaJDLAgM6AZwBx6BqR7ugRAAvCi4kB1sqL3el2/wDg  6Q73O9NzHffzljPA4xUHA7LH4ffYGwjXcwdODMADwRMc+cO+//8rwQPQwMPNc+3DxgZkii7aKht4  mQeQDjrsdzyglWA49dsAEHdTUjPSMtvoTv5aW1hFiBPfEzL/6A8hchEN6TM7oxIz2yai2BbTLSW9  gaMZo0Oj3Srr0wNwCm0GgfUAgJYU4D2hAqUF5H+A5oAEOQrmq899Fywj/OAATdHl0N4u2iXgMBj/  dNKB5QY76HcJQZXOMYbWecErxdIADD2gBne40ObR3dDiBFfREYDAAobgi/isiuAywJIzD4qTXA+A  zHcCEL5jg/8OfIkAGCLJAYvRi24/y4uJBUawd+d0SHIjHQZ8i4Ao8YrNiuvMGFky5CUIEhl3DzAB  0wA10dBHdfXrFofPceIq6BTfxKgu9hRel+MBFuVwO8DYAjQTTAE4AhNcA1BCdAWB5v8nAA/YEFie  WBP+9/AzxwAgdBM7P9k/4ACDxSCD/eD8SfXpIpiIADv20Co0Gz0bvSo9Op87nmCcG/5zEzP2HffX  OIF00XYTzhPewZ1O/L4EABgAxhj2x0UTge0AAnZATnTXAT1U2YvKM9LGHuvkbuAfHhkBduAEJ5eK  4IrHkN2KgAfpis6K8rIAl4wQdRKDUzLtkXHn1+sBIBFlkPyAPvBbMhGFA6AfRBCgGqBOkNEAo4PX  AMrJxwi/dDBAENWH3qrgAA/R7XQihooLxQqXAcd4iF0FisaqgESLwauLxquD70adoVla9GR3A0wW  vxly4h9wETREBovQlHTbwLuLTQYz0YHhC9AIAJXhLQCAgengfwPBcObovAULPSG2CBIH2FDogQER  kAZdQaoC1Q7QC+11CuslgJOoiOkk/+np84f3Te5jWYtZ76VSbjNum2OpKSBjK2ObpeBjm2Osiugy  yaggWZJbkgOUULCDxgW/7ir918MSuEZHpPxNOWTaHz/A/R0lrYvo0egCJmCqEqvR7a1JqwQJBPxY  yQTeBug/AFfoOwQ3AycEMwALwwvBkCLY11lbX9X2wgciYwgI0e8zr2AI6Qj/izbARWoz/zvWc1zl  AIAEO/B3O/f2Upcz7Yv1oegqcJ6wQnTP8lCh6gwGCqLR8BPqoewNCHcKDejeklr3AADaG84b3V0b  6JWSkZNzE08DY4wOOhMeMhMGKRMWnfJfL08r3u8UGxQbFCD9DBweHKoWFvXrAIDJikQGMuQkDwwQ  o+QqikUGlBsK5ioBDPbriwzjGpGLDeNt4YvAneiLyosEi1UPvHOJ4gPIE9pVp0QNLxCMDosVFggH  chbR1VgLwVAZTbsNMNi5cJWHGHQPKZ8VBC8V0dEraUwWlB9ECRVHOqxFw1AvKJvJJo3rE34FpZ8O  5A6ftj5jThbRuVzTThB5CX6MFvjUP6xFAkGoz9M/Xg8oVzgaTgv99MsWIaf+lD8EPyaiD6AH9hrF  l1rCXrFxdgheC/apRKhRizbxAKDxCIHuwAQ79XdQC+10TGIAcvMqUFFSU1VnAFeJyTPS6D78X0hM 

XVtaWbL7FfIb/+jR+xfEXLgaiW+uLTPt1KwcovC+Cisx6Pj7v1gaALXG6BMAcg+/JSsAkOhg/MO4  AgPrA7gBA/mlYN8ABMyL2IHj8P905XjoAzDNJQ+ADeA/q5MtBcCIsQTT+FC/FTjX8gAAGrEQcwlY  SFCDRAYQsQhbUQAY6JYDk+gM9OiuA781IwUImfy/1Ssn6LEZJxAtEPX7JxicmtHgo/u/KRjNG76k  K7+UG68eYPlYs+gQA7s9K7lXGB4QAgW/uOi8+UHotqU9+Ue+M8Loqv+m+TwQhhwglrjoYQRbPZAA  MzxzA+klBOjMA6aMHPMMelhAs+ABHvjDwH3pDQSAPoIrcAofC8B4CKsHBOlj7/r5AgdBEQUdnhH2  Bw6LRaR5/xNUiAAK5HkMDAfrdZCwAevYXwIywKJCIOZF8ffBGK4dIFumi9+/cisp59O/egn19AfL  DNrxdUW+CK9zeRoGAQYnPTBAd23CAPZGCQZ5GXkmuzBDdzBXEejeAnMFDu6A0FVMB4DDGZOQBpCA  Jih/YggteO++aehX/gT8QgHHBvEqAABdAfEQ6Jj6CUAAD4/6O4GfgPgGJfMqCBgQcfjoPQO/gx9w  gAj66KXyUOjtAhZb+FgAAOizAunT/jLtUFHoS/JZCGylHAfBWJ2J0UD16Ols/7WA6+KaSvw0Y5hc  6wxP8jPSKoEHOyoe9wZ4K8fnFPy6/rfMPcDDAQB3x76UKzjoXvrDY/4Tmj0QE5UTpmBdEAEtcwpQ  Uh7d+VpYi8gYHgvKdBsQ6G8B4ov+lBjoyPlx6HQBH+sHh88KBZokAlszwLkEAOdg81z4w/y/pJD0  LkQGivjgCLAl8P9416aKXAVcUotMA2RWSOt3BiWwjagQdAkFjJDOjdg5ePgFMdiDAAD7/nID+es2  Urixr/fjvdhXwBUD6nMDvf//h8AuwPf1A+jR3QqjjjT1+RMLi/BYH0YFDcgD3iTR4Yh9VxoQBghb  iV0EiU0CegbcXlf8+V/oQPrj9oNtBhD4z6iqwenT9gqmUyUKx/gKIPnICZcq6apwiPYKDPlQV3sM  Kw9CMtFfWITVZq3DFyIfx6VWk0JlzajR7h+/rD8RCyrrBB9Y/2agdAYDBAMC/zT/4An2F48Ej0QC  A9MKBh/gSIvzrdcDkdUFMu1R61UoF23jHFFWQQQk6Ar4XlYY6Pn1XiCLWYPGCOLkYSQTXoroBACe  Ky3APz1wA3cngCOf6IrIgOEHQWsPCAKYi9jAwPfbgM0QhmwqQAbS4IiAAQjD6D7/v95WtPdW6OgA  AO9e6DYAULsOLLkoLOiTAOjA+C7/vkIsv1IMlvcGEoPbi/6+5+hZ9b6HExjh91jDBgAY6Pr+UOhw  77v+K7kGFap/JAAVisj+EBFG6LH+uuvzbj/o6hoBAHdYuAMC+cO4tynrDrgYAJwpu68IBrumKbi4  KVBTDMxWv+432e1edw4K9oybCs8KcgmAAdzDW1hb/+AFWP/jUVOaoL9Ciej+9r9KCq4PW+i4/lsp  jVERq74a6EVxCiOj/sTH/3ORBwawMfcw6cj26N7g7P9I6WVR6Er+TgNtthL6/eg0IoH+X9up9gAA  Bnj0vVosuQgAi/0zwPOrLgC3i0cIAUQIvwcAAwNeK8ci4CrEAvbYBAQMgJiLyLcr2Svfg8MIA/Er  iwDpBosELvcnPgA2AUYAPhFWAj6DVjGetwIC8OLmXluDAK7FAk91vIPtDof18Nx9C8gDCs2IpBfR  rZdwBo2L9S8N/0wnsghR1wIATr0BACPvC9Uz7YH6AMABgPUT/RPNE90TxdHVAWzA9SXNC8WJPAA5  0YlcBIlEBsMAAaAlSgQJAMgHCeQQQJwOCSC8vhsBAAgEv8kbjjYAnrVwK6itxQAAnWsA1abP/0kf  eMLVAOCM6QAAgMlHupOqAY7e+Z37636qU+SAA83MAf3/CtejcD0HAAX6/yxlGeJYF7fR8/8AAP3O  YYQRd8yr5v9b4U3EvpQAAJXmy/+6lDlFrR6xz5b/pekAADmlJ+p/qCz/oeS8ZHxG0N0AwFf+Ohl6  YyVDMcCu/LsSK00AVgW7bCv334NwFesKg8MKiw3RAGDvc/VTV+h7/l9b6+zDWAYYkDADQIvXM/+L  7xUBAAMz2+msAIkeeCwJ6AICcgCw4Yv46PsBcuBQi8f3JhUBOw6L6ovD9y4KAyAZxAPFi9hyvlgD  +PQAMNjrtfyJPm4AMCwDzokOcCyjeiyJFnxFzADAo3QMcgN2LJHoowFwPXUDgM2ApJ9uAujdzejz  AXQAAEFOPER0HDxFdBKAPmssAHQAADE8K3QGPC10AnUnToHJAgTXMOsxDscGTsAVAABG6GIBn2Xs  AQD2xR4XQFiedQL37Orbiz4dfDmh2HIYgQ1fMAP7Az5vJRB1DAAEKz6Dgf+QAX9GVlG+gtgwLOjt  /i6ixgaMTwDj6KIBWV51LqF+1B6AcVUugHQT09gYcEf3RQYCGOoEgE0HgIM+vwePuXZWCIouNcMG  A73Du/9/QXgsCugABuQAcheB+8wMd+3VAtHjbh0Dw14G2BAAeN7r38NNi9+LzEDX6NYlKLSKAFgD  0KhCstUdMLWSmRly5ei7GySFDQrAXf8GAR6x6+6LxwvFCwp1FiYa9sePF5QPYQAcMIB1CW0F6wZ+  w3wQAyCJFrOJswoiLsMLwnQcUHPgcQnoJQD/DkfxuEANAIx4BkjoKgDr9laLBjD3v/mSq5OrlauW  qwjABV7DV1VTi8KsDLPoCwCUWBPYA+gDbAWX1dHXw64/6F7wALeBBjwrdQFGGACrThBKLDByRTwJ  fgI8XCwHOvt9OesdBd4mdDM8LnQgGyo4EBt3JnB0DjEwgYDNCM90LDLkwwoEmCDr9IgJEXIHMBgQ  68lO+cM7NnBCcAAjrIA+au8QPCB0AwDuP3TqPAp05jwNdOI8YQOYcnp6dwIkX8MywKyt0MNIla2L  +F8F7I90Sa0F4Dr+A3g+0ef5SMLfuwUAHAMAt9HQ0Nf+y3XwQyLZCtMyATP2z84T7hPAZf4TxoDX  AKkV8EAOPfB/9QzrD4AOjCwY3a3Y7AiC6NL3X4kgHA2JbQKJdQAAoAr/w1NWimQJLopHCSWAgCDI  OsR1FoPGO51B+jkFbOsChDsH4fN4p15bw1abknzSWjP/HWMci9rR3Zji9F00CtBJ9RJzai2vXkds  BiBeVF5cBolECMNm/P+lIQEAAACE+r6aLMYEAcZEATAVJB5AWwfDBheEeb+OLFfIJTWlXrogSYBk  B3+zIM4BwAbHArMtU+h7A7j/fb6VLKyogHS7FQPJBf4/1boQTffgCuKRsE325PnXeACwmvbnCPqB  6fQSgd9DMAATV/ffvlbo4vu7XC/oE4DB/19yCUdXu2YLa/pfV1kOKtKR99luFIv3vwzmx4vU3tDc  AADWgMRWgdaaAxPpE9ET2b8AAJssuRAAMsBRU1JVVlDQ5NEH0NaI0tHT0NAOzAxZAuVZE/ED6Qzt  A9ED2RQAAAAdBDCqWeK9T0mwMP3zrvyDDsDBEgaIDLgBAFohuQBGcQ9f6BunHE8QsIBBXraANtYn  gBVcVC/PJy5ALzBF/zYwRP+oFkW+Fj4AZlXo4On2RAeAAMB5G11VjX4GFgce6NPmWI7hDV0hdDys  LAgV6OntXYyWjNou2sOFwQe0o1Pi/PdcxgbCLCILM8AnlWqIKFVKnacRvjEQKL+8RTLw6HfpeUQJ  xu8S6JXtU1a5XbggADCju8Ususwl6f/ku8oJwMyuJOkO5bvPCZgJBczMCdYJZhv8G9sAAAlgJ+nz  5IoPKu1Di9O7AsADALRAzSHLAJiNXg6aBkyKEN4gCAYImnAUcRgFcwYvXJAS9CvAIlOnJHcKJHVO  nQokcgo69SR2CiR0RF8kHuo1pZ3ZBSUEugIkdSSD7AhXVszM/3YUAxIDEAMOzGwDDAMKAwgDhBs1  +DDLEI04En74i/AEjtqiSccfT/gBcE+7zye6jCSOwpqnEW9KbA1eX8E6dnO1/fwSKcpOXQHGD6l2  PusID6b9AEjG1VVNRNKSqrPSCBfSq0dEgkTrupAH6Ag+UzFA2R8+WEpnTFwxHLg/dUx36jQyTG4i  TBhM4AGDfg78fBwGBH8Wi14OeFixA9PjS423pChNJIhK6zkNjX94S3uL3JqjSJj3/zbiKATgBN70  DwTcKOgLaB7kKA0QDwkn8L7UKOsHkJXVCcxoJEiEuesTCPCaMxR2SHYO6Jb9dVfp6Onop5M4AxQC  8ZAAvkIBUkVOITu6EE9MRKIrIE5FVxBC3elZQFNQTncQX0MQPQFNcFBST0NGSSLQTEUMdghbBUhM  jl5B2ABXe44wEDpGVCZ0Dt0BUE7XkyBJME9W7lAQR0VURQVrDAQAdAFEUDU9HpLwTGkFcERSDqoA  RU+t6EoQzgBLCV0wUEFUSKAJYEGvAgDuetUBUaBSDehwSU5Qge6gdINhS0WBS556UEkAqjFTVFVG  MKPiDgMNAhBSAkFOAHoAPAFQ6qmRSxBTB2jQUVSH7rAkAVNUDGggRkmxRF9OQU1FR1cQVFlQECqg  TEW3RkgndUBPUBygF94AfwFJTmIlsEFETBVOL1AFAVJJR0iDDAD7AVAyRkNMT1MesAFAPdBGIBOd  zwBVAAVinQFSbg4sAV57gKV7wEJVci/U0Ex3VWBfDkyFBihCDjLQK8SWAWUCkEVADlJST1JTWVMO  mSBFSCNYUFJfFRCcDZQgevUKcKzpImBGT3QhoE9EYl89RDHQMk89EDPgJEBOQo1AgQ6lIE1JU0OT  gJCuIM+mnRC3oCgEgFJT9E0cqtkJRK5Acx6+Ei4EREIubOoBySDeslTUAWDRILhTIFJ1bi0AAFRp  bWUgTGlicmFyeSAtIEMAAG9weXJpZ2h0IChjKSAxOTgG2Dcskmljcm9zb2YUEHoecnAe7wDgQUVI  SU9VV1kAvDCMJMK99wTMBNAE0h4YBNYEAEgAsW4ACASAYQCyAAgAsBgAfoAAQPKIOgEEAqAPAZQ3  iQEdJAokm4EoDwgZCB8BCQIy/lYEAcMcAQIAAhMAgQUgAYMY2wUuAVzNAT8X0QbCAht+AgMA22Ah  BX17AgUAD5gTBQYADQUHsBtsAhIbAgkAJQW2sXMQBRcbAhLROBhPIAIUAAsFFcMwADQCFgAHAhcA  FuKMAhgomA4FGwCZ0yADK/+IJgB5BDsBRAFO/wRUwMYBcQE//wJHnhhIAfM8dEkBVksBVk3P8AGI  TwFxAlABPM9MUQGcUgFgUwHzPJJzAbV0AaF17mEBEkABIxhmBXcBEQWEASLXAuYRXxyQPGT//wVF  UWT2ZAFkBfyJZDJkEz9RZEtkBmQYFEVkA2QWZFEUB2QaZAJFUWQXZB5kHbSgZB9kCeDJjBB8AbIF  OPOwORBABhUwAD8LwQDmQ0xJUFRFTVAuVAQMIYAT2wGwAbAlANzICGEI4MHIAVngQdQA+9hMAPwA  /UsaDxr79LwiEioKAgkQKB8zAhoMA72CAwrwM4wk/Gd+BAg0BBIE84EaF3Q0f5grAr0QpPcepJAc  BQzCBYhisEFCUz0NJjTiAkGuQVO6SEcEsDw4D0MJLuciCSJUCG8XD7cKAKXNAEJPRh8MTLHlRE9X 

GokREQyZMENIpRxSIRIQTU/IKE5USAy6FKeUE09MIxWjlERUT0REFppSIUR1RREdOqUiEVkyHpwT  IUVM3dvIRBAUGLApV8okiSQup1QkVkNFL1VKEVMRMA+UEaZUWfK6/TMS3jfMKANYUKVmEDogRrtV  pYbOzT+3mGYLQPyiKXggXG5sQRFMSoWOS2xCn5Z/0ZlTEitJRsDJa1B7qJYCSUmNZy4QAFjIKJUO  aXzdl1gVEhKcRlHBlnLFN1UiBwpTcE9SZDEspKfMFFVSS+FLFUxBU1RNKXWUXRRSRUOKpBReGE6U  xmFjYdoCclhmIUolT0chZyFXSvlFUqRoEiilVUlNEmooJRJNQVg0a8QUaE1FTbRZkKtqbCNJygN4  biNL6VlFcSJZQPKKKUuud1+qJuqehDagEcSFloMqF1C+D5GPpRVOFZJqhRVqke+UJVZBCpReo9JS  FENkOl6VUhVOT66ladQSUHVDQbJUJarWUoA8TyEogxZPUsprKa4klLfrryJAAk/cCjOlU25PNVOX  tiydYKhKNUP5RAhKLFNQQUNFObmV0DlRTXIV4dIRVPHG0NMOAxBVQpd+E0bWjVYRE1R9r2lI2WpQ  KfdTRk9S0liS27alSB4UpVIpqzjeJUgRVVD6RWTX4IEa9lBQ5as94SbJqJQv4iNWQYpKUONdLiFX  6qVQIekRWUVBUkpzEe0RAfXcAQQS1JkMKCAEA7Q6OnhkAbBZcgBAAnxTdW5kYXkATSlEbwdUdWVz  CMghV2VkbgpUaHVyRcQJRnJpB1NhdCIAEQlEFEUUTBRTFFsAXBRlFG4UdRRKYW51HFJDKGVicgkD  800FY2gAQXA4bDNvDBBKamUFbMAACkF1Z3VzdEtlcHRlbWJARGVyAE9jdG8ITm92jhIRRGVjCRSO  AAAUlhSfFKUUqxSvFLQUuRTAgAEUyhTSFNsURIlhYmFzZTaPIEZgqyABIyBSWWo3b50NTLBFG3Qg  VXCqYw8YwCBTaXp+RG8geW91IHdmg6scbSoac2FtcAcbPj8AUGFnDn8ujI0AKiordWKPXWwgSdUM  AA5zf8oRHxJUHcG/DklucwBcCHYhXhJpZCBuBduwTkdFIGmGGzYANgXC/hQyFUwVVRUAAGQVdBWC  FYYVihWXFaEVWS8hOE5tRQOu2J+Hoq5CfYALhID/ZM3N4AJGwP/4AtVGbQAAAYwBOwBaAHgAlwC1  ANQA8+CAABEBMAFO1x8AHFc2BB4EIwAKGjwAWwB5AJgAtgAAANUA9AASATEBTwFuAY0B5zAOAwAv  Li8DLXEGAPuZeMMBnwGhAfMBLgJqAAAClAKbA7sEuAVIByoJTwgoAAAGsAbBB7IIBguxC44JBwoZ  AAADlgpyAp0B3Ax5DlsORQ1xAO0Nng3MDe8M0AyA3hL/DSMN1gx99TUChRTqqwKyFJSMXPEUAdo+  LQEEB5FLkqG9Vf4VEDRQA9sQQS7wIAJFsoYCGCZ42UEHEBXS9xAkNItz3CoQgURNEgF2JxISURpJ  nAIpDDRLKsUw8Rc7AUaCIAAFIUraeBPTUxdq0EsKFkI/AZOJSlUXeRQQY8sTEs6E6yrlJFvy6oxM  ZuOVfhxsIilMUx9vD3VXJ3zvohQbGmMBMr46vV8BaDKChAwYEZK0BE8XMkYIECQBFBAxiAspp2DL  kAjAcz4OHgI5aoUCmgHqPqIABFq1pgCJpWo97K0MMz9yDEiqAl1yW79W8SYdDzRBbshUMJXq5Baa  DlrJiNI32BQPfhs5CB1aNQTgnOhZDY4B8ARkpl34LjyAoQHimlSiASILATAVYiQZe60CDCLqUwwq  DDQyHxUwDDsBjKYSoUYBq0s0Qx5+AhmMfzRseANcss6AAGFUlaRr1im+PlkBCu07qgFSqbVhtQoM  aSsl2yNzFU4BlDp5fVojBIFNBsCJ7CnylsECCBMMk8hAFAoO5gIGVSwVn91NCzerIRlub41WgasG  vgmThcd6NQA9Yd3yw8hUABUsJdEBBLLSBBnHhkmGDNkL1K7MMC1WBOjQakryGPrygwYqGFICCiTC  AtIis3Ux1iQbGx0VDAInAo4GLPAvArXKsDcYQVNfSJ5JDAFNrlECkBqgVgJiXwJByHRjAgLdYFIR  GB+A32RKbQILHxoCSYNJdgI0QHd/AmqKAoPID5QCL5i0sh2ALp0qUaqeXVGNDheqFdBflakCfFUM  IQ79s8m5DCYXCDTY3jQ7p0wMqpI49KIBZfLBO5PXvQI60bWAEsp6zAJEG2bUAi/UHwm+309TYKm3  I+oVckDxAg4WHUFaBPXLANoMsWVUBgwHDsmvJyQKDCQYTQ5AR0NHCAAAureeL+deRyQtNCF5mpg2  dOorD5BJqAIDBAqlDECx3woDCgYSDBwCH4UOBBIDkdlyARNLJ0wZERicYIIkAxZNRqhiXaoS5EAo  fAoJHDCqVLATBQwADSQ4A2ilMEdOVAMBaaZeJE6D2mMDWk1lagxurFNOg1pyA1q1e3YieppcDH4u  Jy6CqYYWCMYUGYuGAwBf9S8Rigy1thqORanJ85JRO02uUZYKAwqa1WQsnhYPqFM8E6IDhNeSDqaK  QrSqAyMDtIhuGATaV68D0FD+aioyuQPCH4JIwgP+Co3Su8oMIgMM1mowDNjmDErIJAMM9QMOYGlx  +xAAccgFBgQEEIYoCaRzBA0EoZK4G6DQ8wj/uukXJDYR4lrtLWmYNDcEKEH6UBieSAQt46cTIaOm  FnJQBKhOugRUBBgEWH00GCRcBAw1MmAEBNVE6mk8EG0EgzRgcQQMryZ5BG92FNAbjWEANChfMSkI  Q0NFUFQAY7gyb3VudHITwC0gLkFORC4gZsK4Ww1d0D6Yez0rVAcvjCwaKQbJMSgGQ0FMTJjeLB+Y  JyQIXU7DC09MvDEnCg3tDwhvSBD4r94P8wAq9ENMQVJFw7/8HoIvONV+VwBaMFT18ycJtiU9PSZD  Ju4qjRNFkylVGRhYUCkxmV4QPo8TIAjZ8Br2tSET7L8hF+QPXQmzDN0fqWddCGkzzwlepSxzPnRH  T5+NyQ4N8HnDHgi8gy2aVVQozyAkIIvhQ8m5hiooY4ZpdGl1fwYMQNxRQk9B5wxfyysMucF9PPSG  fcC0vFC2obyuD6ECpgpp6Dwp0huyEmrIntGGnJoXSU76ixc1LS82NQglCPDi2xIqEjYgh4s6RQBT  QVZFTd1k/i1eDAcPR7iNLk5PVFLZaDHtILUxRPYBaU9UIA963QrlEi6whgqhjIVQKnhEUK4bEXMr  GEAgeKN55dqvvoSh0VZxMsTxL2LI50VuC1cHVUKoDJifDNoRqR27CEwUa0OKuT0Z/Vpjow5Hid3v  IFNDBRnzaPYMmA0NKQWf1EVLY6co1iUES7uSkyFB03gYcssJWvNUUgik5lMMBDMpDM3XH/rHDyEg  MHzkrzLU2msMJiBDJsrZ8KnCyVAquJF4vRFD6qYPJtAe3gSGrq4VhBlnIY22GU4hAbWojCSQBGkg  EmwnO0NfiHB/X8oaZA4MFOa2AIEBAcQkMLkIKC4yJ0MFJCABC4Si///BAMxQCS1DHOviNgAAGj/8  qfHSTWJQP3sUrkfheoiyhD+amQG5hZLZAPAIJEBcTghZCECPTqkIiMMY4KRaKOC/MLiUNf8B738B  ABPmG/se3hvYHtwb1h5IAMAdAyHOHWYhzB1kIV8Xshd1IEVNNjF4eFQQuoYBsDApzfWlHj54SQic  m+YOkzpNQEj+/Pjw4MCABgB2PR/NO39mnqDmP+85+gyQ/kIuCA7lJhV7y9sbwIwwEKgMYVwQ0Cu/  AABOKb1WsxVE6b/trxYgSmIAADBAmrWzEv8HUMADgA/OZ0swAIDVQcB+O/qDgHNAd5ANICuc/guI  wFyAsr/+gitlRxX3314B6BgAYdZApzqsSiiT7gHok4ZA0bx63SsjhsATAJMc3FhvpFLxPuD2UDKz  b+RwfFHQPxoAQAk43m+ZP0A/s1FCcY5xrAW8Wz9ka3DbFfM/BwAZA3BvdwADbG9nnjEABQUxMAxl  eCCQAgRzcXJ0MqgXLwgYADAJ3xfUD/cGuDPZCU4JEMYYEjAIQBIQLgkE4mPAERDwDwQWES4EADKY  BxjOOyyYDBIMWwW2eVYUGGUIkjTmmY46HAAQHEgg8meMCLQBGHhKFHYNeeYQaATAIwRc+fcI3BJQ  BDqMMRzyNgSwSQQ8SATPGKIMwjQEPj8EhmPeTwSYEHygcEp73gRUXPwAXAMY81R0FwS8EwysjDFk  8BYEUgUEiAVYn8QiyBdnjJxePRDaMTQGBjH+FB4OMFQVoBljdPJBFF5CBCIEjDFcSEMI6jgEmhgg  5r2aRAgmaIwgpveMBGJotAgwFCF5z0hEBKS8+iJ48wQqLNAtBKDkDgguCHBs3nM80gQkBPIQODgQ  DG74MAS8gF1kj/3ODJGxDytaCwh6ORcicRSoBzgwBlocGW7vPd4XepIWqojzng4EIhyW3mwZecYE  xqLeQjtCGMGYmgMEgAEENIMDAp4SgDAvCJ8cXAoEnuoMwJgiRkRkLgQ6B8aGaABYEtQDBNYJmGcE  aAEEHNrGA94z+voEcCBmPRDmPeANDDquAoQEY8wCFIQKEAYMBIYzBwhICwSEsgfPmF6OBMQGfEIE  ihzbY8wHMAoIBIpAFFR7JkAsSA4IBNQn99vQBic6ntxHRBfICRBAgTHVSAU3qjgzB0cwpSxxB9hu  eSoQtxAYWMKjVgoc4YNMB0SZAxxgJx8CvPxzYEcv6JgyGg4OCBYq7sw7yNY/DH4EBHgGYR4oUC8E  FAAebNsQdAcEOwTqPPMEQgQMBATgzHsIUjwgiBx0HO/o+AiAAKK99wgwHBwEwo6MDKDQMgkIDjsx  ORxaKASA0iYH8wodB76SjDGaOg0ErgwE+AsE7x1gBH4cZhwcGVTNchy85AYV2CQUI/BnZCKsFcpF  78CvvzTZPFA8YwzcCLgIEEod3nsceATABJwE5pmWGhjYCIYeBO6DAwp45XIjAD4w5AM+rxXJ5N4z  dGUFCI4gQkZ3AlCSQ0dKS1HcJVNYWtpU/NzNTU5eKOl6PABwc3RhcnR1cD4AcHJvYyu8QWxpbmVH  LBeyBGmebls3eQYcb4NyHCgSBnJlbGGQhiUgZmlskIO/8wCQSUQuZGV4IGtlebifAC5MQp4uRrBz  tm1hX0jJyWEhnj8ppwFaKQCk7WRyX1j9hoQWb3Blbj5HFgFkYp/nFm6n9gBgZWZshxswbWlzYz6Z  Mm11xmnbcpPmmJ9zAHR5byArunTbb02bAYk1ciB0IHJhbrBtZ2UAbm8KCQO39yxgNGAsekJvIGRp  dmkpDn/KZXNzubQoWADGmh4MonibaWQgLG5/DGXO3wAWX0cADnsgRVhURVJOQYy5Wm91hG9meGV9  KFGFUlVOVfZXZKBhQHpxdWkFZABsb2Nrc5gOlGNsdUx21gMhxGVjs2xwbnVN5WNWMQoccmY1dwAc  ds7iLTt34XJ1fLo4LuIToYGOdGgg8K6HkN5esFIBOwKSy7RMqA43wKAgIENvD271i2U/ICg3m6sp  KGGudi49uAFCGgAobXZIhMEocAY8YmVnLfwqNJcMIx0AA1JPmMNSU1lTGk6gRsmgkmdokA0KEh4e 

v7GcvD1GbgHVaGHd8b+HyL4eKi4qPDKpTLI3m1+ID6kMlHqlDPO8dgpGQzHHQ3I6LkRCRoTjmPmI  IZppc2todWxs3ogcgAGJA2QgmxoB65qEf7sggR0gVOQIGuZSKZvtBiAgk0ouTlRYOtnmdRdp9SwE  BjkByQBO5UQATQA8/0EAVblVSQRG2RhItlAAa+5xBAzGLlQusnmxBB4I1fkDGhwOOSNBTE5sDlhZ  IQ4KJBgbKEwjWRZDUgTwALwUVABGVgcC2sRgAL+z2cTAsxDJzbu6vM3IMx+6CqSrIOwHDvBRQ09N  U1BOBzIvZFkiW13gjnw8Pis9OxgE/TvWTwZUBprXVFgG6olDBmYacHxHigEiTVAIUFJOiKoIXC86  BI9swik8PE5wL5VHPj4HNozjMDAy9C0g/ekJ3W5wR0FvpCAeAe4SZGVkqXgRJzAnPKm1WchLLhwD  xUAcMxzqx0xn7OEPCSBieSAzUdQFITkhbiCbo3NwSCNm4waeES5yb24nL234LvwAGIH/AHJ1bi2O  bRWTZYEBSg9FMUX5O/yla2FVBSJnPP0AOiBol01BVEjPLadXz0ecJAFl3/fTPy9nAJ1WqWgA13oX  bgDqcHSw2ztjaXRsMdnd6G4Z0Q2CSXhT6Dt4SY3fMxG6DnVARw96AFRMT1NT1UUQfftXZCjaAQEA  xlWL7AYeUlPFVgoAGIv6Qr4AAIteDrQ/uR3NwAAhcwO4//89CnMFi/DrFoABkIH+/39zD7lBi987  CI0AAHQBdANC69LEfgYmiTVbWh/gOgddyyBSRJHX419EKEMpFBhUcHlyaWdo/UsDB2/MeaBuIDJC  Rp0uIMey/wEMABAYOhMUiQ0DACgCUkKMwAUQAA4fowQABgYDBhyOwIsOBpH5T4vgevf986RQuCCA  QcuMw4zYSI7YG78PALloGBHzrkcfi1IAw0gSsQSLxvfQ0+gAUHQJjNor0I7ag87wi8d6ABHCEcKD  z/CsitBOAACti8hGisIk/jywdQas86rrYDMHkDyydWtkFKjYGMO6viUBhIsehfwz0gMbKuMTi8ID  w2AL+AMAg7N0ESYBHeLzgfoA8HTADBaBwgAQ69y2QB6D7/8MEBmH6+KOiz5z5Ai4Np7wAVaLuS2o  BgCyu+r6jtaL5/su/y+0QAMDuxi5FgCMyqW6DwHNmMMhuP9MBVDzeWKF9xYoVY47AM0DCwEAiisJ  NwmrCrcK6wz3DIsNAACXDUsSVxLLEtcS+xIHE9ETAADwEwAUEhQuFD4UUBRrFHwU3AeMFJ5AyhTa  gHsU/xQQFSAVRwEAhvUVqRbsFjQXPBdRF2UXAAB1F84X8hcTGCQYMxhEGFQYAABkGHUYhhisGMcY  5Rj2GAUZAAAWGSYZNhlHGVgZfhmZGbcZAADIGdgZ8RkMGikaPRpNGl0aAABtGn0ajBqeGq0a0Rrv  Gg4bAAAfGy8bPxtOG14bhxukG7MbAADGG+cb+xsLHCEcMRxBHFEcAIBgHHgchRynHMUc4xz3HAcd  AQABLR09HU0dXB10HZ0duwAAHckd3R3xHQQeFx4qHj0eTwAAHl4ecR62HsUe2B70HgUfFQAAHycf  Nh9GH1gfnh+2H8kf3QAAH/AfAyAWICkgOyBKIGIgsgAAIMEg1CDxIAIhEiEzIUUhXgAAIdQh+iF1  I+sj/yMSJCUkOAAAJEskWSRuJIAkkiSiJLYkxgAAJNok6ST4JAYlFSW+Jc0l4AAAJfYlByYcJi8m  QSZUJngmuAAAJtMm4ib8JgsnTidtJ40nnAAAJ9on/CccKCsoQShjKIMokgAAKKwozijuKP0oGCk6  KVUpZADgKYAplymfKb4p3intKRN+ADEyKrMtbi78LwAADzNuM5I3ozfFN1U93D0CPgAAXz6DPp8+  9T4QPxw/OT9YPwAAfj+fP8A/6T8PQCJAYEDTQgAA+kIoQzxDSENQQ3FDk0OhQwAAsEPIQ+RD9UP9  QxBELUQ8RAAASERjRH1En0QVRSVFPEWsRQAAvEXURe1FBUYnRvtGEkcgRwAAQkdoR+lHI0g0SEBI  UEhhSAAAqUi4SMBI60h8SbZJwknSSQAA40kRSh1KJUpNSt9KAUsNSwAAHUsuSz5LTEtYS2BLhEvw  SwAAE0wfTC9MQExOTFpMYkyGTAAAAU0jTS9NP01QTWBNbk16TQAAgk2mTbFNNk5ZTmVOdU6GTgAA  lE6gTqhOzE7uTohPo09JUAAAglDoUHxRuFHLUdlR7lERUgAAhVKnUrNSwVLNUtVS+lIuUxgAP1NH  UwFuU5BTolOyU8MAAFPSU+FT8VP0VAlVKlV+VY0AAFWlVa1V4FXnVfBVK1ZrVroAAFYdWCVYTli0  WGVZElpwWn8AAFq4WhBbH1s+W0pbY1t1W30AAFuCW4dbjFuRW5Zbn1u0W8AAAFsSXFZcglzdXP5c  I11MXWIAAF18XZhd4F0GXjReSl4QXxoAAF8mXzlfUl9/X5dftF/IX+IAAF/+XydgL2CBYI1g2mAT  YbsAAGJuY3ljp2O9YzBkSmQJZQ4AAGUTZRhlHWVfZXNl72XJZt8ADGbzZghnF2dWZ2JnAWxnAAB4  Z4RnsWe7Z+NnEmglaDhoAABAaGRohGiMaJFolmifaPxoAAARaT9pXmmNaZxprmm8adRpAADraRBq  IGpUan9qmmqrarlqAADIaitrS2tna4Brk2uta+ZrAAAdbEhsWmyrbM1s7WyBbYZtAACWbZttrG3F  bdFt1m3jbfdtAAANbi1uX26Ubt9uFG8zb2tvAACEb59v1W8KcGhwq3DpcL5xAADTcv9yKnPJcyt0  WXSLdbl1AABteOl4YHkuevB6w3tVfNV8AAAGfRB9KH5YfpZ+3343gO+AAAD7gFiBiYENgo+Cu4Lb  gnGDAADUgxmEVYSdhNmEP4WfhbyFAADdhVmG0IbshiGHQoefh6GIAADsiFWJ1YlZit+KZYvri5GM  AADnjE+NaI0HjjCOvY7fjkSPAAByj5WP0I/+jyGQQJBukJyQAAC/kP6QGpE6kViRjpGskfCRAABX  kmuSC5NHk26Tm5MOlEWUAABslJmUPZVjlbWV1ZUFlkmWAACNltGWFZcglz2Xa5d2l5OXAACrl8iX  2JcAmC2Ya5ipmOiYAAAWmTuZbJmbmbWZ15nvmQuaAABbmnGaxprLm/WcqJ3DndmdAACWnvmeOp9E  n4mfOaBDoHGgAACtoDGhQKFzoYKh0KFHolmiAAB5opii8KLgowSkSaTBpJ6lAADOpeylKahhqJmo  Y6mTqbGpAABrqrWqHqsqq6eru6vUqyGsAAA4rEeslqzVrAatNq1TrXStAACjrbWt0K34rWGuF69D  tGm0AACmtAC1G7Uxtde1ALZ8tri2AAACt0y3Ybd/t6a36bgSuUO5AACyuQ+6M7pfunq6jbqWuqC6  AACture6xLrbuvW6E7s8u1q7AACXu6m7sbu8u9S75bv2uxK8AAAjvDS8S7xYvGa8gryTvKG8AACw  vO68Ur2dvb+97r0Gvia+AABJvnq+n77PvvC+C79Uv2e/AACiv9e/+L8TwC/AR8BbwCLBAGB6wb3B  KsJ/wh/DTsOfwwAAARLEoMTexPrEV8WyxtLGiAAAxwvIOciSyIfKXctIzBPNmwAAzfPNR85/zqzO  185Cz0/PeAAA0Y3RGtJA0r/SytL40tLUJQYA1T371T7WXtbF1urWrNcAANPXZNh+2O/YH9l62YnZ  s9kAANzZE9o02lzafNqr2rra4doAAEXb4Nv7227chtye3LXcvdwAADzdRt2X3efdEd5L3nXeU98A  ALTf0t9A4F7ge+Gu4cvhi+IAAJriGONK47Tjx+MT5EzkjuQAAKTkvOTT5OjkQOVa5X/lmeUAALHl  ueWq5s/m4OY45+bpjOoAALDq8Or/6hXrN+uL65PrwOsAAMjr3Ovk6yHsKeyd7KXsBu0AAA7tve0D  7iHuWO517pDuz+4AABXw0fPw8130dfTP9On0A/UAABr1LvVS9Xb1lvWu9dP19/UAAAn2HvYz9lT2  iPbr9j33gPcAAKL3uvcJ+Ir4pfjL+HH5yPkAABj6P/qY+ur6Efvf+1H8cvwAAI38svwS/Wr9ev3h  /RD+LP4AAOj/1gMdAHYBhgHEAQsCFwIAADgCgQLLAusCOgOCA3gEbQUAAH8FfAadBvoGSQnJCRMK  JgsAADgLUwtkC4oLpQsHDG4MlwwAAMEM3AweDWcNfQ2qDUMP1Q8AAA8Q2hAIEaQR2RFaErUS2RIA  ABITcxTvFJwWxxbfFm8XlhcAAKgX8RcDGCEYKxitGMUY3BgwgOkY8hj9EBk3GVQZcRl7AQACGwIc  FBweHCYcmhzoHAAApR7UHukegyCqIM4g5iAVIVwAeyGTFvwhNCKAAVMiZyLfIg4jAVkj0SMALgAk  FR42JWUlmS4AJa8M3yUdJmMAACavJv4mPSdZJ2snjyfFJ+0AACcBKD0osSiHKZ0psinSKdoAACkD  KhUqUSpiKoAqkiqjKr4AACowK1sroyu9K/8rJixQLISA6ywdLT0t2i0RAABFYy6gLsEu1i4NL0kv  5i8AABIwHTA9MF4wcDD0MAYxHTEAAEAxVzGAMaQxwjEVMmsywTIAAMszWDSSNUY2gjerNwo4YTgA  gPM4STlxOak50TknOkQ6JTsBAD0TPpc+dz+GP5s/sD/FAAA/NUD0QKhBMkJBQthCZUOvAABENkVh  RXBF/EZuR79HzkcUAABIOUjYSBpJXEmmSa5JvEn/AABJB0rMSlJL6UsGTL5M1Uz3AABM/0yDTdpN  eE4dT0NPuk8UAABQLVBJUIdQ0lDjUAlRJFEzADhRclGdUbpR0FHoUf0HcM4sUm1SwlImU30OAL4w  VE5UdlSVVKdUwQAAVJhVpFW6VchV01UDVhFWggAAVplWvlbZVuZWLFdCV1BXYgAAV5BXsFfmVxZY  JFiAWLpYDwAAWThZSlliWa1ZylkNWiRaLADAWpharFrEWvJaDVseW0RbAAABb1uJW51bt1vgWwVc  OFwAAEtcY1yZXLdcA11TXYVdwF0AAOFd+107Xlxei16/XuVeMV8AAL9fZWCAYLdh72EKYlFin2UA  ALplwWYRZ/BnY2jHaBdrZmsAAL5r0WugbN1sCm1Vbqtu1XIAAABzO3Oxc9dz+3MidDl0d3QAAPl0  FHUudUJ1bHWKdeJ1SnYAAF52eHaOdgl3RXd8d4h363cAANJ46Hj/eAd5LXmqebR533kAAAN6DXos  ekZ6T3qHerh653oAAO96EHsse1d7hnvOe+J7KHwAAPV8C30NfiJ+OX5MfmV+hH4AAJ9+sn4Cf1N/  bn+Bf65/8H8AAGiAoIDxgDSBjYGvgdOB64EAAE+Cl4KzgtmCKINEg1SDgYMAAOGDCYQzhFuEkYSh  hN+E7oQAAPqEE4U2hY2F6oWehrWGAocAADKHRIdZh3aHf4eSh/SHF4jMAC+IU6eIAb2Iz4jziAAA  BIk5iZWJoYnQie+JCIosigAAPYpUioeKsorBiuKKCYspiwAAPYtPi1SLYotwiwmMHoxZjMA5eIyU  jB+OKbgvAACQVJC4kHCRlJGwkQ+SvpKeAACTL5Q9lGSUkpTHlI6V05UEAACWQpZklt6XDJh/mKeY 

05j7AACYMZlBmYyZkZmfmcqZ+5kWAACaZJqcmqaa9JoimyybVJt1AACbyZv9myqcRpyZnLWc15zs  AACccZ3KnfydGJ4/nk6eh56xAACexZ4tn4Sf/589oKGgpqDJAGCg3aDioCahUKFYoV2hfTAAw6GO  oZcZoaqhCaInojkAYKJnouGi86Iro1eks6S/AAAEpQ+mW6aopsCoLao1qkWqAABPqmGqa6p4qoKq  kaqprOysAAA8ra+tw63mrRaujK4Qr+WvAADtr/2vB7AZsCOwMLA6sEywAABbsMWwJLE4saix57Ex  skKyAACjsq+yubLGstCyI7NZs4GzDACNs5dns66z3bPts/ezCACAtBK0HrQotDW0P7RutOq09nMA  +g21F7U2tUa1AABQtWG1a7V3tYG1jrWYtbe1AADHtdG14rXstfm1FLYmti62AAAztkm2UbZutpC2  xLbUtty2AABOt4S3/LcLuDC4ObhluIe4AAC2uOa4ALkXuTG5UrmOubO5AAAbuke6c7qfuv66BrsL  uxC7AAAxu4e7lruiu7S707vju/e7AAAzvF68ebyovLO8y7zzvAu9AAAgvYe9l728veO9670cvjm+  AIBevnK+vL7Ivs2+E79Dv5a/AQABLMBVwITAl8CrwDjBmQMAwQHnwfTBI8Jvwn7CkcIA16XCrcLG  wuLC8AAA5hbDSsNgw3LDfcOPw97DAAAPxEXEd8SJxOTE9sRYxWvFAAB/xZ3FxMXUxfvFG8aaxqLG  AADWxt7GPcd+yWfKksq9ygXMAAAQzKDMCM3mzRzQ3tAk0rXSAADG0hvTMdNH01TTXtNm03vTAACZ  06/T39MD1BbULdRC1LPUAwDAS9QA1Q7VHdVt1YrVkgAA1afVHtZg1ovWrtbH1tLWRgAA1yfYNdhI  2GPYdtiE2J3Y1QAA2PvYfdmg2ePZD9qo2kncXwAA3HbchNyh3NHc7Nwj3TzdYC4A3Xtuud3X3UJg  AN5d3oPeuIXeP99a34DfAADl3zjgU+Bf4GvgfeCY4N7gAADx4BXhR+Fi4aLhmuLa4vDiAAD84g3j  I+M+41fjbON64/HjwAUO5CDkleSmjgAXzuT/5DHlPOVKAACQq+XX5ebl8eUG5iLmM+YAAF7m8+YB  5xrnQ+dz54/nvucAANbn3ucA6DLof+jB6eDpD+oAABrqNepD6oXq0upW63HrfesAF47r7usA7Cfs  W8AArLDs1+zqDO077VftegAA7bLtxe3d7fHtcO637uLuDAAA7yDvYu+s7/bvUfC+8DbxYQYA8aEE  8ofypfO58x73mvcAAPD3cviO+Jv4uPjO+Nb48PgAAAn5Ifkp+Tz5RPlU+Vz5evkAAIL5j/mX+bP5  wvnQ+dj56fkAAP/5dPqW+g77OvvH+8QBHkQAAI5EnkTORA5FHkU+RU5FfkUAAP5FDkZORq5Gzkbe  Ru5GPkcAAE5HnkeuRxBJFEkYSRxJIElgACRJcElKTgFSTlZOfE+IAABboAbTBh8IugjbCPsIpnWq  AAB1rnWydbZ1unW+dcJ1xnXKAM51znXSddZ12nXeAABK5nXqde518nX2dfp1/nUAAAJ2BnYKdg52  EnYWdhp2HnYAACJ2JnYqdi52MnY2djp2PnYAcEJ2RnZKdk52UnZWdloGMIRidmZ2anZudgEAZ3p2  fnaCdoZ2igAAlpJ2lnaadp52onamdqp2rgAAdrJ2tna6dr52wnbGdsp2zgAAdtJ21nbadt525nbq  du528mAAdvZ2+nb+dncWdxp3KncAAC53Mnc2dzp3PndCd0Z3SncAAE53UndWd1p3Xndid2Z3ancA  AG53cnd2d3p3fneCd4Z3incAAI53kneWd5p3nneid6Z3qncAAK53sne2d7p3vnfCd8Z3yncAAM53  0nfWd9p33nfmd+p37ncAAPJ39nf6dwp4EngWeBp4IngAACZ4KngueDJ4Nng6eD54QngAAEp4Vnha  eF54YnhmeGp4bngAAHJ4dnh6eH54gniGeIp4jngAAJJ4lniaeJ54onimeKp4rngAALJ4tni6eL54  wnjGeMp4zngAANJ44njmeOp47njyePZ4+ngAAP54AnkGeQp5DnkSeRZ5GnkAAB55InkmeSp5Lnky  eTZ5OnkAAD55QnlGeUp5TnlSeVZ5WnkAAF55eQl/CZsJpwnLCdcJWwoAAGcK6wr3CnsLhwubDKcM  Gw0AACcNzkfeR15Ibkh+SI5InkgAAK5IvkgucPcNFw4fDmcObg4AAHMOjg6UDpcOqQ6uDsZwrQ8A  ACwQQBBcEGUQoRBaEzMUqhQAANwUABVdFZAVRxcQGRgZHhkAACUZKBlVGV0ZYxlqGW0ZmhkAAKIZ  qBmvGbIZ3xnnGe0Z9BkAAPcZDhoTGioaLxpGGksagRoAAIcajhqUGrwawhrJGs8a9RpwI/saAhsI  XDAAuBttG3UbnRyvHHk/gQgA/J0/pT+qP8E/yT/OAAA/5T/tP/I/CUARQBZALUA1AABAOkBSQFpA  X0B2QH5Ag0CzAABAzUDTQNpA4EDxQPZA/EADAABBCUEYQSBBJUEvQTRBPkFEAABBS0FRQWVBbUFy  QYVBn0GlAABBrEGyQclB8UELQhFCGEIeAABCPUJXQl1CZEJqQolCo0KpAABCsEK2QtVC70L1QvxC  AkM6AOBDRENZQ3RDfEOBQ6BDqAYAsLpD2EPgQ+ZDAADtQ/NDIyBmI24jdyODI4wjANBkeWx56CQZ  JSElJyUA2QEAAf8ATymAAOYmEAA=  _ _ _ _ _ _ _ _ _ _ _ _ _ _|