From ed26bc44505aaecf678d539a6f461ec4ab7a45d1 Mon Sep 17 00:00:00 2001 From: manetta Date: Mon, 25 Mar 2019 23:45:25 +0100 Subject: [PATCH] print versions ready to be printed! --- .gitignore | 2 +- create_all.py | 6 +- data-workers.en.manual-edit.txt | 3640 ++++++++++++++++++++++++++++ data-workers.en.publication.pdf | Bin 0 -> 442833 bytes data-workers.fr.manual-edit.txt | 3920 +++++++++++++++++++++++++++++++ data-workers.fr.publication.pdf | Bin 455939 -> 460185 bytes functions.py | 34 +- logos.pdf | Bin 281424 -> 281446 bytes logos.svg | 6 +- 9 files changed, 7598 insertions(+), 10 deletions(-) create mode 100644 data-workers.en.manual-edit.txt create mode 100644 data-workers.en.publication.pdf create mode 100644 data-workers.fr.manual-edit.txt diff --git a/.gitignore b/.gitignore index 4bae5a6..cd4c22c 100644 --- a/.gitignore +++ b/.gitignore @@ -1 +1 @@ -*/__pycache__ +*__pycache__* diff --git a/create_all.py b/create_all.py index a31b3f4..2731526 100644 --- a/create_all.py +++ b/create_all.py @@ -64,7 +64,7 @@ else: out += create_cover('data_workers', language, steps=1) # Insert counters page -out += insert_counters_page() +out += sinus_jj() # Tmp elements to save content that is outside the section tags about = '' @@ -128,9 +128,9 @@ for element in soup.body.section.contents: # Add extra pages, to make sure the new zones always start on the right page if zone.lower() == 'oracles': - out += insert_counters_page() + out += sinus_jj() if zone.lower() == 'readers' or zone.lower() == 'lecteurs': - out += insert_counters_page() + out += sinus_jj() # Add zone cover cover = create_cover(zone.lower(), language, steps=1) diff --git a/data-workers.en.manual-edit.txt b/data-workers.en.manual-edit.txt new file mode 100644 index 0000000..20c5d28 --- /dev/null +++ b/data-workers.en.manual-edit.txt @@ -0,0 +1,3640 @@ +data workers write, perform, clean, inform, read and learn data workers write, perform, clean, inform, read +nd learn data workers write, perform, clean, inform, read and learn data workers write, perform, clean, +nform, read and learn data workers write, perform, clean, inform, read and learn data workers write, +perform, clean, inform, read and learn data workers write, perform, clean, inform, read and learn + data workers write, perform, clean, inform, read and learn data workers write, perform, clean, infor +, read and learn data workers write, perform, clean, inform, read and learn data workers w +ite, perform, clean, inform, read and learn data workers write, perform, clean, inform, read and l +arn data workers write, perform, clean, inform, read and learn data workers write, p +rform, clean, inform, read and learn data workers write, perform, clean, inform, read and learn + data workers write, perform, clean, inform, read and learn data workers write, +perform, clean, inform, read and learn data workers write, perform, clean, inform, read and +earn data workers write, perform, clean, inform, read and learn data wor +ers write, perform, clean, inform, read and learn data workers write, perform, clean, inf +rm, read and learn data workers write, perform, clean, inform, read and learn + data workers write, perform, clean, inform, read and learn data workers wri +e, perform, clean, inform, read and learn data workers write, perform, clean, inform, +read and learn data workers write, perform, clean, inform, read and learn + data workers write, perform, clean, inform, read and learn data wor +ers write, perform, clean, inform, read and learn data workers write, perform, cl +an, inform, read and learn data workers write, perform, clean, inform, read and +earn data workers write, perform, clean, inform, read and learn + data workers write, perform, clean, inform, read and learn dat + workers write, perform, clean, inform, read and learn data workers write, p +rform, clean, inform, read and learn data workers write, perform, clean, in +orm, read and learn data workers write, perform, clean, inform, read and l +arn data workers write, perform, clean, inform, read and learn + data workers write, perform, clean, inform, read and learn + data workers write, perform, clean, inform, read and learn + data workers write, perform, clean, inform, read and learn data work +rs write, perform, clean, inform, read and learn data workers write, +perform, clean, inform, read and learn data workers write, perform, +clean, inform, read and learn data workers write, perform, clean, +nform, read and learn data workers write, perform, clean, inform, +read and learn data workers write, perform, clean, inform, read +nd learn data workers write, perform, clean, inform, read and l +arn data workers write, perform, clean, inform, read and learn + data workers write, perform, clean, inform, read and learn + data workers write, perform, clean, inform, read and learn + data workers write, perform, clean, inform, read and learn + data workers write, perform, clean, inform, read and learn + data workers write, perform, clean, inform, read and learn + data workers write, perform, clean, inform, read and learn + data workers write, perform, clean, inform, read and learn + data workers write, perform, clean, inform, read and l +arn data workers write, perform, clean, inform, read +nd learn data workers write, perform, clean, inform, +read and learn data workers write, perform, clean, +nform, read and learn data workers write, perform, +clean, inform, read and learn data workers write, +perform, clean, inform, read and learn data work +rs write, perform, clean, inform, read and learn + data workers write, perform, clean, inform, read and learn + data workers write, perform, clean, inform, read and learn + data workers write, perform, clean, inform, read and learn + data workers write, perform, clean, inform, read and learn + + + What + can + humans learn from humans + humans learn with machines +machines learn from machines +machines learn with humans + humans learn from machines +machines learn with machines +machines learn from humans + humans learn with humans + ? ? ? + +Data Workers, an exhibition at the Mundaneum in Mons from 28 March until 28 April 2019. +0 12 3 4 5 67 8 9 0 + 12 3 4 5 67 8 9 0 12 + 3 4 5 67 8 9 0 1 2 + 3 4 5 6 7 8 9 0 1 2 3 + 4 56 7 8 9 01 2 3 + 4 56 7 8 9 01 2 3 + 4 56 7 8 9 01 2 3 + 4 56 7 8 9 0 1 2 3 4 + 5 6 7 8 9 0 1 2 3 45 6 + 7 8 90 1 2 3 45 6 + 7 8 90 1 2 3 45 6 + 7 8 90 1 2 3 4 5 6 + 7 8 9 0 1 2 3 4 5 6 + 7 89 0 1 2 34 5 6 + 7 89 0 1 2 34 5 6 + 7 89 0 1 2 34 5 6 7 +89 0 1 2 3 4 5 6 7 8 9 + 0 1 2 3 4 5 6 78 9 + 0 1 23 4 5 6 78 9 0 + 1 23 4 5 6 78 9 0 + 1 23 4 5 6 78 9 0 + 1 2 3 4 5 6 7 8 9 0 + 1 2 3 4 5 67 8 9 0 12 + 3 4 5 67 8 9 0 12 + 3 4 5 67 8 9 0 12 3 + 4 5 6 7 8 9 0 1 2 3 + 4 5 6 7 8 9 01 2 3 + 4 56 7 8 9 01 2 3 + 4 56 7 8 9 01 2 3 + 4 56 7 8 9 01 2 3 4 + 5 6 7 8 9 0 1 2 3 4 5 6 + 7 8 90 1 2 3 45 6 + 7 8 90 1 2 3 45 6 + 7 8 90 1 2 3 45 6 + 7 8 90 1 2 3 4 5 6 7 + 8 9 0 1 2 3 4 5 6 7 + 89 0 1 2 34 5 6 7 +89 0 1 2 34 5 6 7 89 + 0 1 2 34 5 6 7 8 9 + 0 1 2 3 4 5 6 7 8 9 +0 1 23 4 5 6 78 9 0 + 1 23 4 5 6 78 9 0 + 1 23 4 5 6 78 9 0 + 1 23 4 5 6 7 8 9 0 + 1 2 3 4 5 6 7 8 9 0 12 3 + 4 5 67 8 9 0 12 3 + 4 5 67 8 9 0 12 3 + 4 5 67 8 9 0 12 3 + 4 5 6 7 8 9 0 1 2 3 + 4 5 6 7 8 9 01 2 3 4 + 56 7 8 9 01 2 3 4 + 56 7 8 9 01 2 3 4 5 +6 7 8 9 0 1 2 3 4 5 6 + 7 8 9 0 1 2 3 45 6 + 7 8 90 1 2 3 45 6 + 7 8 90 1 2 3 45 6 +7 8 90 1 2 3 45 6 7 + 8 9 0 1 2 3 4 5 6 7 + 8 9 0 1 2 34 5 6 7 89 + 0 1 2 34 5 6 7 89 0 + 1 2 34 5 6 7 89 0 + 1 2 34 5 6 7 8 9 0 + 1 2 3 4 5 6 7 8 9 0 + 1 23 4 5 6 78 9 0 + 1 23 4 5 6 78 9 0 + 1 23 4 5 6 78 9 0 1 + 2 3 4 5 6 7 8 9 0 1 2 3 + 4 5 67 8 9 0 12 3 + 4 5 67 8 9 0 12 3 + 2 +ABOUT AT THE MUNDANEUM + +Data Workers is an exhibition of algoliterary works, of stories In the late nineteenth century two young +told from an ‘algorithmic storyteller point of view’. The exhibi- Belgian jurists, Paul Otlet (1868–1944), +tion was created by members of Algolit, a group from Brussels in- the 'father of documentation’, and Henri +volved in artistic research on algorithms and literature. Every La Fontaine (1854-1943), statesman and +month they gather to experiment with F/LOSS code and texts. Some Nobel Peace Prize winner, created the +works are by students of Arts² and external participants to the Mundaneum. The project aimed to gather +workshop on machine learning and text organized by Algolit in Oc- all the world’s knowledge and to file it +tober 2018 at the Mundaneum. using the Universal Decimal Classifica- + tion (UDC) system that they had invent- +Companies create artificial intelligence (AI) systems to serve, ed. At first it was an International In- +entertain, record and learn about humans. The work of these ma- stitutions Bureau dedicated to interna- +chinic entities is usually hidden behind interfaces and patents. tional knowledge exchange. In the twen- +In the exhibition, algorithmic storytellers leave their invisible tieth century the Mundaneum became a +underworld to become interlocutors. The data workers operate in universal centre of documentation. Its +different collectives. Each collective represents a stage in the collections are made up of thousands of +design process of a machine learning model: there are the Writ- books, newspapers, journals, documents, +ers, the Cleaners, the Informants, the Readers, the Learners and posters, glass plates and postcards in- +the Oracles. The boundaries between these collectives are not dexed on millions of cross-referenced +fixed; they are porous and permeable. At times, Oracles are also cards. The collections were exhibited +Writers. At other times Readers are also Oracles. Robots voice and kept in various buildings in Brus- +experimental literature, while algorithmic models read data, turn sels, including the Palais du Cinquante- +words into numbers, make calculations that define patterns and naire. The remains of the archive only +are able to endlessly process new texts ever after. moved to Mons in 1998. + +The exhibition foregrounds data workers who impact our daily Based on the Mundaneum, the two men de- +lives, but are either hard to grasp and imagine or removed from signed a World City for which Le Corbu- +the imagination altogether. It connects stories about algorithms sier made scale models and plans. The +in mainstream media to the storytelling that is found in techni- aim of the World City was to gather, +cal manuals and academic papers. Robots are invited to engage in at a global level, the institutions of +dialogue with human visitors and vice versa. In this way we might knowledge: libraries, museums and uni- +understand our respective reasonings, demystify each other's be- versities. This project was never rea- +haviour, encounter multiple personalities, and value our collec- lized. It suffered from its own utopia. +tive labour. It is also a tribute to the many machines that Paul The Mundaneum is the result of a visio- +Otlet and Henri La Fontaine imagined for their Mundaneum, showing nary dream of what an infrastructure for +their potential but also their limits. universal knowledge exchange could be. + It attained mythical dimensions at the +--- time. When looking at the concrete ar- + chive that was developed, that collec- +Data Workers was created by Algolit. tion is rather eclectic and specific. + +Works by: Cristina Cochior, Gijs de Heij, Sarah Garcin, Artificial intelligence systems today +AnMertens, Javier Lloret, Louise Dekeuleneer, Florian Van de Weyer, come with their own dreams of universal- +Laetitia Trozzi, Rémi Forte, Guillaume Slizewicz, ity and knowledge production. When read- +Michael Murtaugh, Manetta Berends, Mia Melvær. ing about these systems, the visionary + dreams of their makers were there from +Co-produced by: Arts², Constant and Mundaneum. the beginning of their development in + the 1950s. Nowadays, their promise has +With the support of: Wallonia-Brussels Federation/Digital Arts, also attained mythical dimensions. When +Passa Porta, UGent, DHuF - Digital Humanities Flanders and looking at their concrete applications, +Distributed Proofreaders Project. the collection of tools is truly innova- + tive and fascinating, but at the same +Thanks to: Mike Kestemont, Michel Cleempoel, Donatella Portoghese, time, rather eclectic and specific. For +François Zajéga, Raphaèle Cornille, Vincent Desfromont, Data Workers, Algolit combined some of +Kris Rutten, Anne-Laure Buisson, David Stampfli. the applications with 10 per cent of the + digitized publications of the Interna- + tional Institutions Bureau. In this way, + we hope to poetically open up a discus- + sion about machines, algorithms, and + technological infrastructures. + + + + + + + + + 3 + CONTEXTUAL STORIES + ABOUT ALGOLIT + + + + --- Why contextual stories? --- spread by the media, often limited to superficial + reporting and myth-making. By creating algoliter- + During the monthly meetings of Algolit, we study ary works, we offer humans an introduction to + manuals and experiment with machine learning tools techniques that co-shape their daily lives. + for text processing. And we also share many, many + stories. With the publication of these stories we + hope to recreate some of that atmosphere. The sto- --- What is literature? --- +ries also exist as a podcast that can be down- +loaded from http://www.algolit.net. Algolit understands the notion of literature in + the way a lot of other experimental authors do: it + For outsiders, algorithms only become visible in includes all linguistic production, from the dic- + the media when they achieve an outstanding perfor- tionary to the Bible, from Virginia Woolf's entire + mance, like Alpha Go, or when they break down in work to all versions of the Terms of Service pub- + fantastically terrifying ways. Humans working in lished by Google since its existence. In this + the field though, create their own culture on and sense, programming code can also be literature. + offline. They share the best stories and experi- + ences during live meetings, research conferences The collective Oulipo is a great source of inspi- + and annual competitions like Kaggle. These stories ration for Algolit. Oulipo stands for Ouvroir de + that contextualize the tools and practices can be litterature potentielle (Workspace for Potential + funny, sad, shocking, interesting. Literature). Oulipo was created in Paris by the + French writers Raymond Queneau and François Le +A lot of them are experiential learning cases. The Lionnais. They rooted their practice in the Euro- +implementations of algorithms in society generate pean avant-garde of the twentieth century and in +new conditions of labour, storage, exchange, be- the experimental tradition of the 1960s. + haviour, copy and paste. In that sense, the con- + textual stories capture a momentum in a larger an- For Oulipo, the creation of rules becomes the con- + thropo-machinic story that is being written at dition to generate new texts, or what they call + full speed and by many voices. potential literature. Later, in 1981, they also + created ALAMO, Atelier de littérature assistée par + la mathématique et les ordinateurs (Workspace for + --- We create 'algoliterary' works --- literature assisted by maths and computers). + + The term 'algoliterary' comes from the name of our + research group Algolit. We have existed since 2012 --- An important difference --- + as a project of Constant, a Brussels-based organi- +zation for media and the arts. We are artists, While the European avant-garde of the twentieth +writers, designers and programmers. Once a month century pursued the objective of breaking with +we meet to study and experiment together. Our work conventions, members of Algolit seek to make con- + can be copied, studied, changed, and redistributed ventions visible. + under the same free license. You can find all the + information on: http://www.algolit.net. 'I write: I live in my paper, I invest it, I walk + through it.' (Espèces d'espaces. Journal d'un us- + The main goal of Algolit is to explore the view- ager de l'espace, Galilée, Paris, 1974) + point of the algorithmic storyteller. What new + forms of storytelling do we make possible in dia- This quote from Georges Perec in Espèces d'espaces + logue with these machinic agencies? Narrative could be taken up by Algolit. We're not talking + viewpoints are inherent to world views and ideolo- about the conventions of the blank page and the + gies. Don Quixote, for example, was written from literary market, as Georges Perec was. We're re- + an omniscient third-person point of view, showing ferring to the conventions that often remain hid- +Cervantes’ relation to oral traditions. Most con- den behind interfaces and patents. How are tech- +temporary novels use the first-person point of nologies made, implemented and used, as much in +view. Algolit is interested in speaking through academia as in business infrastructures? + algorithms, and in showing you the reasoning un- + derlying one of the most hidden groups on our We propose stories that reveal the complex hy- + planet. bridized system that makes machine learning possi- + ble. We talk about the tools, the logics and the + To write in or through code is to create new forms ideologies behind the interfaces. We also look at + of literature that are shaping human language in who produces the tools, who implements them, and + unexpected ways. But machine Learning techniques who creates and accesses the large amounts of data + are only accessible to those who can read, write needed to develop prediction machines. One could + and execute code. Fiction is a way of bridging the say, with the wink of an eye, that we are collabo- + gap between the stories that exist in scientific rators of this new tribe of human-robot hybrids. + papers and technical manuals, and the stories + + 4 +writers write writers write writers write writers write writers write writers write writ +rs write writers write writers write writers write writers write +writers write writers write writers write writers write +writers write writers write writers write writers write + writers write writers write writers write + writers write writers write writers write + writers write writers write writers write + writers write writers write + writers write writers write writers write + writers write writers write + writers write writers write + writers write writers write + writers write writers write + writers write writers write + writers write writers write + writers write writers write + writers write writers write + writers write writ +rs write writers write + writers write writers write + writers write +writers write writers write + writers write writer + write writers write + writers write writ +rs write writers write + writers write + writers write writers write + writers write + writers write w +iters write writers write + writers write + writers write + writers write writers write + writers write + writers write + writers write + writers write writer + write writers write + writers write + writers write + writers write + writers write + writers write + writers write writ +rs write writers write + writers write + writers write + writers write + writers write + writers write + writers write + writers write + writers write + writers write + writers write + writers write + writers write + writers write + writers write + writers write + writers write + writers write + writers write + writers write + writers write + writers write + writers write + writers write + 5 + 86ncrg k en3 a ioi-t i i l1 e i +-+-+-+-+-+-+-+ a +-+-+-+-+-+ l 9 t7ccpI46ed6t o w 7e a5o3 - + el, e 7 nh 71 e 5 4 3 4 |w|r|i|t|e|r|s| i |w|r|i|t|e| daml su h i e1 ww A l e59se a 5o wl + amlt t s w tlo n r 7a o9 +-+-+-+-+-+-+-+ ta +-+-+-+-+-+ hw t o4e e n,o32r , wd2 eo re 67n r + o1ife tt s 38 nt l 74 o 7 5i oda 65 ei r 9 7 n 5 n1r m l ot a51 e 3ma, 14swn 7 r r + b o i 3 se2 rceit ne a ki r 8 1iw3s n an t 8 8 r ra bn 1 eue r t4a r sT r phe o + e 6e6 7h5orir de6 1 +-+-+-+-+ +-+-+-+-+-+-+-+ t u +-+-+-+-+ 1 8 97o e c 4 d 8 h 7 z o a c4 + w as 3r 17r p ai |d|a|t|a| |w|o|r|k|e|r|s| |w|o|r|k| 6 r6v56 4 2i7 e tu1 r9 w 5 8 + 52 1 wi r 4hn G +-+-+-+-+ +-+-+-+-+-+-+-+ n +-+-+-+-+ nr 4 21 n raa2 Pn9 h + a ca3 adw sara +-+-+-+-+ +-+-+-+-+-+-+-+ +-+-+-+-+-+ 9 e9na y tt c 7 6 .cbieas + u e 5m b t3r 4 46 |m|a|n|y| |a|u|t|h|o|r|s| u |w|r|i|t|e| 4 4 yff , th t e + 6 2 6vo nn s +-+-+-+-+ +-+-+-+-+-+-+-+ m +-+-+-+-+-+ i 4 1 W1 n r8 - 1 g7 + 4n +-+-+-+-+-+ +-+-+-+-+-+ +-+-+-+-+-+ 8 1n e 6l v5c a + r 4 1 |e|v|e|r|y| |h|u|m|a|n| |b|e|i|n|g| n5 asr e 7l h 7 u , k o 2 r +e h r h +-+-+-+-+-+ +-+-+-+-+-+ +-+-+-+-+-+ 65 3 1 t w er e3 5 1en e i + 4 o c +-+-+-+ +-+-+-+ +-+-+-+-+-+-+ +-+-+ u 6d7 r tm , t l se t i 1 + t fc |w|h|o| |h|a|s| |a|c|c|e|s|s| |t|o| e 69 t n 1 k 4 1 +e n +-+-+-+ +-+-+-+ +-+-+-+-+-+-+ +-+-+ ie 62i 2 t tn 7 t on o e + 1 l , +-+-+-+ +-+-+-+-+-+-+-+-+ +-+-+-+-+-+-+-+-+-+ a 9 , 9 + 9 w r |t|h|e| |i|n|t|e|r|n|e|t| |i|n|t|e|r|a|c|t|s| r i i tr h u f + m i m 5 +-+-+-+ +-+-+-+-+-+-+-+-+ +-+-+-+-+-+-+-+-+-+ 6 T c 5 w 6 i d T + 7 5 l i os +-+-+ +-+-+-+-+-+ +-+-+-+-+-+-+ s m + w s r6 n |w|e| t |c|h|a|t|,| |w|r|i|t|e|,| 6 rrf + e 2 6 , p oe +-+-+ o +-+-+-+-+-+ +-+-+-+-+-+-+ r + e s 4 e p y 9 i +-+-+-+-+-+-+ +-+-+-+-+ +-+-+-+ r / + e s 6 e |c|l|i|c|k|,| |l|i|k|e| |a|n|d| tw r6 t ai + 3 8 28 a n e 8 +-+-+-+-+-+-+ +-+-+-+-+ +-+-+-+ r4 7 + e n h t 5 n +-+-+-+-+-+ n + 3 9 f c |s|h|a|r|e| p + l 5 9 +-+-+-+-+-+ d + 7 1 +-+-+ +-+-+-+-+-+ +-+-+-+ +-+-+-+-+ t 5 + r 2 2 e |w|e| |l|e|a|v|e| |o|u|r| |d|a|t|a| n3 i , + d t 8 a 9 +-+-+ 1 +-+-+-+-+-+ +-+-+-+ +-+-+-+-+ t + 7 +-+-+ +-+-+-+-+ +-+-+-+-+-+-+-+-+-+ + 7 t e |w|e| |f|i|n|d| |o|u|r|s|e|l|v|e|s| 6 + y s 8 8 +-+-+ 7 +-+-+-+-+ +-+-+-+-+-+-+-+-+-+ n e + r 1 +-+-+-+-+-+-+-+ +-+-+ +-+-+-+-+-+-+ e + a 2 t |w|r|i|t|i|n|g| |i|n| |P|y|t|h|o|n| + 5 3 d +-+-+-+-+-+-+-+ +-+-+ +-+-+-+-+-+-+ r + +-+-+-+-+ +-+-+-+-+-+-+ e + |s|o|m|e| |n|e|u|r|a|l| 4 a + k n +-+-+-+-+ +-+-+-+-+-+-+ z + or 3 w +-+-+-+-+-+-+-+-+ +-+-+-+-+-+ + 1 1 |n|e|t|w|o|r|k|s| c |w|r|i|t|e| 1 9 + s n +-+-+-+-+-+-+-+-+ +-+-+-+-+-+ e a + g +-+-+-+-+-+ +-+-+-+-+-+-+-+ +-+-+-+-+-+-+ t + |h|u|m|a|n| |e|d|i|t|o|r|s| |a|s|s|i|s|t| n , o + 8 +-+-+-+-+-+ +-+-+-+-+-+-+-+ +-+-+-+-+-+-+ a + +-+-+-+-+-+-+ +-+-+-+-+-+-+-+-+-+-+-+ 4 + |p|o|e|t|s|,| |p|l|a|y|w|r|i|g|h|t|s| i7 + t +-+-+-+-+-+-+ +-+-+-+-+-+-+-+-+-+-+-+ t c k y + v +-+-+ +-+-+-+-+-+-+-+-+-+ o +-+-+-+-+-+-+ + |o|r| |n|o|v|e|l|i|s|t|s| |a|s|s|i|s|t| 4 2 9 + r +-+-+ +-+-+-+-+-+-+-+-+-+ +-+-+-+-+-+-+ 7 6 + u r e + , R + 6 6 + t + s + 3 g 6 4 + + c e t 2 + 3 h 8 + D 4 + a + n o - + w 5 e 3 n e 3 + 3 + e + + 6 + V V V % V % V % V V V % % %% % %% % %% % % % % % % + V V V V V V V V V V V V V V V V % % 0 %% 0 % %% % % % % % +V V V V V V % V V V % % % % % % 0 % 00 % % 0 % + % %% % 0 0 %% % % ___ _ %% % 0 % + % % % % / \__ _| |_ __ _ + WRITERS % % % / /\ / _` | __/ _` | 0 0 % % + % % % % / /_// (_| | || (_| | % % % % + % 0 0 00 /___,' \__,_|\__\__,_| 0 + V V V V % V V V % V 0 __ __ _ + V V V V V V V V V V V V V V V V 0 0 / / /\ \ \___ _ __| | _____ _ __ ___ 0 0 % +V V V V % V V V V V \ \/ \/ / _ \| '__| |/ / _ \ '__/ __| + V V V V V V V V 0 0 0 \ /\ / (_) | | | < __/ | \__ \ 0 + V V V V V V V V V V V V V V V V \/ \/ \___/|_| |_|\_\___|_| |___/ % % +V V V % V V V V V V 0 ___ _ _ _ 0 0 0 _ _ 0 % + % / _ \_ _| |__ | (_) ___ __ _| |_(_) ___ _ __ % +Data workers need data to work 0 / /_)/ | | | '_ \| | |/ __/ _` | __| |/ _ \| '_ \ +with. The data that used in the % / ___/| |_| | |_) | | | (_| (_| | |_| | (_) | | | | +context of Algolit is written lan- 0 \/ \__,_|_.__/|_|_|\___\__,_|\__|_|\___/|_| |_| +guage. Machine learning relies on 0 0 % 0 % % +many types of writing. Many authors +write in the form of publications, By Algolit +such as books or articles. These % % +are part of organized archives and All works visible in the exhibition, as well as the contextual +are sometimes digitized. But there stories and some extra text material have been collected in +are other kinds of writing too. We this publication, which exists in French and English. +could say that every human being +who has access to the Internet is a This publication is made using a plain text workflow, based on +writer each time they interact with various text processing and counting tools. The plain text file +algorithms. We chat, write, click, format is a type of document in which there is no inherent struc- +like and share. In return for free tural difference between headers and paragraphs anymore. It is +services, we leave our data that is the most used type of document in machine learning models for +compiled into profiles and sold for text. This format has been the starting point of a playful design +advertising and research purposes. process, where pages are carefully counted, page by page, line by + line and character by character. % +Machine learning algorithms are not % +critics: they take whatever they're Each page holds 110 characters per line and 70 lines per page. +given, no matter the writing style, The design originates from the act of counting words, spaces and +no matter the CV of the author, no lines. It plays with random choices, scripted patterns and +matter the spelling mistakes. In ASCII/UNICODE-fonts, to speculate about the materiality of digi- +fact, mistakes make it better: the tal text and to explore the interrelations between counting and +more variety, the better they learn writing through words and numbers. +to anticipate unexpected text. But +often, human authors are not aware --- % +of what happens to their work. + Texts: Cristina Cochior, Sarah Garcin, Gijs de Heij, An Mertens, +Most of the writing we use is in François Zajéga, Louise Dekeuleneer, Florian Van de Weyer, +English, some in French, some in Laetitia Trozzi, Rémi Forte, Guillaume Slizewicz. +Dutch. Most often we find ourselves +writing in Python, the programming Translations & proofreading: deepl.com, Michel Cleempoel, +language we use. Algorithms can be % Elodie Mugrefya, Emma Kraak, Patrick Lennon. +writers too. Some neural networks +write their own rules and generate Lay-out & cover: Manetta Berends +their own texts. And for the models https://git.vvvvvvaria.org/mb/data-workers-publication +that are still wrestling with the +ambiguities of natural language, Font: GNU Unifont, OGRE +there are human editors to assist Printer: PrinterPro, Rotterdam +them. Poets, playwrights or novel- Paper: Glossy MC 90gr +ists start their new careers as as- +sistants of AI. Responsible publisher: Constant vzw/asbl + Rue du Fortstraat 5, 1060 Brussels + + License: Algolit, Data Workers, March 2019, Brussels. + Copyleft: This is a free work, you can copy, distribute, + and modify it under the terms of the Free Art License. + http://artlibre.org/licence/lal/en/ + + Online version: http://www.algolit.net/index.php/Data_Workers + Sources: https://gitlab.constantvzw.org/algolit/mundaneum + + 7 + % % % % % %%% % % 0 % 00 % % 0 %% + % % 0 ___ _ 0 0 + % % % % % / \__ _| |_ __ _ 0 % % + %%% % %% % % % % % % / /\ / _` | __/ _` | % % 0 % + % % % % % % / /_// (_| | || (_| | % % % % % + % %%% % % 00 /___,' \__,_|\__\__,_| % 0 % % % % % + % __ % __ 0 % _ 0 % % % % + % % 0 / / /\ \ \___ _ __| | _____ _ __ ___ % % + % % % % % % \ \/ \/ / _ \| '__| |/ / _ \ '__/ __| + % 0 \ /\ / (_) | | | < __/ | \__ \ 0 % + % 0 \/ \/ \___/|_| |_|\_\___|_| |___/ + % % 0 % ___ _ _ % + % % 0 / _ \___ __| | ___ __ _ ___| |_ 0 + % 0 0 / /_)/ _ \ / _` |/ __/ _` / __| __| + % % 0 0 / ___/ (_) | (_| | (_| (_| \__ \ |_ + % 0 \/ \___/ \__,_|\___\__,_|___/\__| % + 0 0 0 0 0 0 % + % + % By Algolit % + % % % + % During our monthly Algolit meetings, we study manuals and experi- + ment with machine learning tools for text processing. And we also + share many, many stories. With this podcast we hope to recreate + some of that atmosphere. + % % + For outsiders, algorithms only become visible in the media when + they achieve an outstanding performance, like Alpha Go, or when + they break down in fantastically terrifying ways. Humans working + in the field though, create their own culture on and offline. + They share the best stories and experiences during live meetings, + research conferences and annual competitions like Kaggle. These + % stories that contextualize the tools and practises can be funny, + sad, shocking, interesting. + + A lot of them are experiential learning cases. The implementa- + % % tions of algorithms in society generate new conditions of labour, + storage, exchange, behaviour, copy and paste. In that sense, the + contextual stories capture a momentum in a larger anthropo-ma- + chinic story that is being written at full speed and by many + voices. The stories are also published in this publication. + + + --- % + % % + % Voices: David Stampfli, Cristina Cochior, An Mertens, + Gijs de Heij, Karin Ulmer, Guillaume Slizewicz + + Editing: Javier Lloret + % + Recording: David Stampfli + + Texts: Cristina Cochior, An Mertens + + + + + + + + + + + + + + + + + + 8 + %% % % % 00 00 0 % % + % % % % % % 0 0 % % + % % %% % 0 0 _ _ _ %% + %%% %% % % % % % % %% /\/\ __ _ _ __| | _| |__ ___ | |_ + % % %% / \ / _` | '__| |/ / '_ \ / _ \| __| + % % % % % % / /\/\ \ (_| | | | 0 <| |_) | (_) | |_ % + % % %% \/ \/\__,_|_| |_|\_\_.__/ \___/ \__| + % % % ___ _ 0 0 _ 00 %%% + / __\ |__ __ _(_)_ __ ___ 0 + % %% 0 / / | '_ \ / _` | | '_ \/ __| % + 0 / /___| | | | (_| | | | | \__ \ + % % 0 \____/|_| |_|\__,_|_|_| |_|___/ 0 0 + %% 0 0 0 + %% % + By Florian Van de Weyer, student Arts²/Section Digital Arts + + Markbot Chain is a social experiment in which the public has a + % direct influence on the result. The intention is to integrate re- + sponses in a text-generation process without applying any filter. + % + All the questions in the digital files provided by the Mundaneum %% + were automatically extracted. These questions are randomly put to + the public via a terminal. By answering them, people contribute + to another database. Each entry generates a series of sentences + using a Markov chain configuration, an algorithm that is widely % + used in spam generation. The sentences generated in this way are + % displayed in the window, and a new question is asked. +% % % + % % % + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 9 + CONTEXTUAL STORIES + ABOUT WRITERS + + + + --- Programmers are writing the only way to maintain trust is through consis- + the dataworkers into being --- tency. So when Cortana talks, you 'must use her + personality'. + We recently had a funny realization: most program- + mers of the languages and packages that Algolit What is Cortana's personality, you ask? + uses are European. + +Python, for example, the main language that is 'Cortana is considerate, +globally used for Natural Language Processing sensitive, and supportive. +(NLP), was invented in 1991 by the Dutch program- + mer Guido Van Rossum. He then crossed the Atlantic She is sympathetic but turns quickly to solutions. + and went from working for Google to working for + Dropbox. She doesn't comment on the user’s personal + information or behavior, particularly if + Scikit Learn, the open-source Swiss knife of ma- the information is sensitive. + chine learning tools, started as a Google Summer + of Code project in Paris by French researcher She doesn't make assumptions about what + David Cournapeau. Afterwards, it was taken on by the user wants, especially to upsell. + Matthieu Brucher as part of his thesis at the Sor- + bonne University in Paris. And in 2010, INRA, the She works for the user. She does not repre- + French National Institute for computer science and sent any company, service, or product. +applied mathematics, adopted it. + She doesn’t take credit or +Keras, an open-source neural network library writ- blame for things she didn’t do. + ten in Python, was developed by François Chollet, + a French researcher who works on the Brain team She tells the truth about her + at Google. capabilities and her limitations. + + Gensim, an open-source library for Python used to She doesn’t assume your physical capabilities, gen- + create unsupervised semantic models from plain der, age, or any other defining characteristic. + text, was written by Radim Řehůřek. He is a Czech + computer scientist who runs a consulting business She doesn't assume she knows + in Bristol, UK. how the user feels about something. + + And to finish up this small series, we also looked She is friendly but professional. +at Pattern, an often-used library for web-mining +and machine learning. Pattern was developed and She stays away from emojis in tasks. Period. +made open-source in 2012 by Tom De Smedt and Wal- + ter Daelemans. Both are researchers at CLIPS, the She doesn’t use culturally- or + research centre for Computational Linguistics and professionally-specific slang. + Psycholinguistcs at the University of Antwerp. + She is not a support bot.' + + --- Cortana speaks --- + Humans intervene in detailed ways to programme + AI assistants often need their own assistants: answers to questions that Cortana receives. How + they are helped in their writing by humans who in- should Cortana respond when she is being proposed + ject humour and wit into their machine-processed inappropriate actions? Her gendered acting raises + language. Cortana is an example of this type of difficult questions about power relations within +blended writing. She is Microsoft’s digital assis- the world away from the keyboard, which is being +tant. Her mission is to help users to be more pro- mimicked by technology. +ductive and creative. Cortana's personality has + been crafted over the years. It's important that Consider Cortana's answer to the question: + she maintains her character in all interactions - Cortana, who's your daddy? + with users. She is designed to engender trust and - Technically speaking, he’s Bill Gates. + her behavior must always reflect that. No big deal. + + The following guidelines are taken from Mi- + crosoft's website. They describe how Cortana's --- Open-source learning --- + style should be respected by companies that extend + her service. Writers, programmers and novelists, Copyright licenses close up a lot of the machinic + who develop Cortana's responses, personality and writing, reading and learning practices. That + branding have to follow these guidelines. Because means that they're only available for the employ- + + 10 + + + + + + ees of a specific company. Some companies partici- very definition, resists categorization. + pate in conferences worldwide and share their + knowledge in papers online. But even if they share References + their code, they often will not share the large Paper: https://hiphilangsci.net/2013/05/01/on-the- + amounts of data needed to train the models. history-of-the-question-of-whether-language + -is-illogical/ + We were able to learn to machine learn, read and + write in the context of Algolit, thanks to aca- Book: Neural Network Methods for Natural Language + demic researchers who share their findings in pa- Processing, Yoav Goldberg, Bar Ilan University, + pers or publish their code online. As artists, we April 2017. +believe it is important to share that attitude. +That's why we document our meetings. We share the +tools we make as much as possible and the texts we + use are on our online repository under free li- + censes. + + We are thrilled when our works are taken up by + others, tweaked, customized and redistributed, so + please feel free to copy and test the code from + our website. If the sources of a particular + project are not there, you can always contact us + through the mailinglist. You can find a link to + our repository, etherpads and wiki at: + http://www.algolit.net. + + +--- Natural language for + artificial intelligence --- + + Natural Language Processing (NLP) is a collective + term that refers to the automatic computational + processing of human languages. This includes algo- + rithms that take human-produced text as input, and + attempt to generate text that resembles it. We + produce more and more written work each year, and + there is a growing trend in making computer inter- + faces to communicate with us in our own language. + NLP is also very challenging, because human lan- +guage is inherently ambiguous and ever-changing. + +But what is meant by 'natural' in NLP? Some would + argue that language is a technology in itself. Ac- + cording to Wikipedia, 'a natural language or ordi- + nary language is any language that has evolved + naturally in humans through use and repetition + without conscious planning or premeditation. + Natural languages can take different forms, such + as speech or signing. They are different from con- + structed and formal languages such as those used + to program computers or to study logic. An offi- + cial language with a regulating academy, such as + Standard French with the French Academy, is clas- +sified as a natural language. Its prescriptive +points do not make it constructed enough to be +classified as a constructed language or controlled + enough to be classified as a controlled natural + language.' + + So in fact, 'natural languages' also includes lan- + guages which do not fit in any other group. NLP, + instead, is a constructed practice. What we are + looking at is the creation of a constructed lan- + guage to classify natural languages that, by their + + 11 +0 12 3 4 5 67 8 9 0 + 12 3 4 5 67 8 9 0 12 + 3 4 5 67 8 9 0 1 2 + 3 4 5 6 7 8 9 0 1 2 3 + 4 56 7 8 9 01 2 3 + 4 56 7 8 9 01 2 3 + 4 56 7 8 9 01 2 3 + 4 56 7 8 9 0 1 2 3 4 + 5 6 7 8 9 0 1 2 3 45 6 + 7 8 90 1 2 3 45 6 + 7 8 90 1 2 3 45 6 + 7 8 90 1 2 3 4 5 6 + 7 8 9 0 1 2 3 4 5 6 + 7 89 0 1 2 34 5 6 + 7 89 0 1 2 34 5 6 + 7 89 0 1 2 34 5 6 7 +89 0 1 2 3 4 5 6 7 8 9 + 0 1 2 3 4 5 6 78 9 + 0 1 23 4 5 6 78 9 0 + 1 23 4 5 6 78 9 0 + 1 23 4 5 6 78 9 0 + 1 2 3 4 5 6 7 8 9 0 + 1 2 3 4 5 67 8 9 0 12 + 3 4 5 67 8 9 0 12 + 3 4 5 67 8 9 0 12 3 + 4 5 6 7 8 9 0 1 2 3 + 4 5 6 7 8 9 01 2 3 + 4 56 7 8 9 01 2 3 + 4 56 7 8 9 01 2 3 + 4 56 7 8 9 01 2 3 4 + 5 6 7 8 9 0 1 2 3 4 5 6 + 7 8 90 1 2 3 45 6 + 7 8 90 1 2 3 45 6 + 7 8 90 1 2 3 45 6 + 7 8 90 1 2 3 4 5 6 7 + 8 9 0 1 2 3 4 5 6 7 + 89 0 1 2 34 5 6 7 +89 0 1 2 34 5 6 7 89 + 0 1 2 34 5 6 7 8 9 + 0 1 2 3 4 5 6 7 8 9 +0 1 23 4 5 6 78 9 0 + 1 23 4 5 6 78 9 0 + 1 23 4 5 6 78 9 0 + 1 23 4 5 6 7 8 9 0 + 1 2 3 4 5 6 7 8 9 0 12 3 + 4 5 67 8 9 0 12 3 + 4 5 67 8 9 0 12 3 + 4 5 67 8 9 0 12 3 + 4 5 6 7 8 9 0 1 2 3 + 4 5 6 7 8 9 01 2 3 4 + 56 7 8 9 01 2 3 4 + 56 7 8 9 01 2 3 4 5 +6 7 8 9 0 1 2 3 4 5 6 + 7 8 9 0 1 2 3 45 6 + 7 8 90 1 2 3 45 6 + 7 8 90 1 2 3 45 6 +7 8 90 1 2 3 45 6 7 + 8 9 0 1 2 3 4 5 6 7 + 8 9 0 1 2 34 5 6 7 89 + 0 1 2 34 5 6 7 89 0 + 1 2 34 5 6 7 89 0 + 1 2 34 5 6 7 8 9 0 + 1 2 3 4 5 6 7 8 9 0 + 1 23 4 5 6 78 9 0 + 1 23 4 5 6 78 9 0 + 1 23 4 5 6 78 9 0 1 + 2 3 4 5 6 7 8 9 0 1 2 3 + 4 5 67 8 9 0 12 3 + 4 5 67 8 9 0 12 3 + 12 +oracles predict oracles predict oracles predict oracles predict oracles predict oracles predic + oracles predict oracles predict oracles predict oracles predict orac +es predict oracles predict oracles predict oracles predict +racles predict oracles predict oracles predict oracles predic + oracles predict oracles predict oracles predict + oracles predict oracles predict oracles predict + oracles predict oracles predict or +cles predict oracles predict oracles predict + oracles predict oracles predict + oracles predict oracles predict oracles pr +dict oracles predict oracles predict + oracles predict oracles predict + oracles predict oracles predict + oracles predict oracles predict + oracles predict oracles predict + oracles predict orac +es predict oracles predict + oracles predict oracles predict + oracles predict oracles predic + oracles predict + oracles predict oracles predict + oracles predict +oracles predict oracles predict + oracles predict +racles predict oracles predict + oracles predict + oracles predict oracles predict + oracles predict + oracles predict orac +es predict oracles predict + oracles predict + oracles predict +racles predict oracles predict + oracles predict + oracles predict + oracles predict +racles predict oracles predict + oracles predict + oracles predict + oracles predict + oracles predict + oracles predict or +cles predict oracles predic + oracles predict + oracles predict + oracles predict + oracles predict + oracles predict + oracles predict + oracles predict + oracles predict + oracles predict + oracles predict + oracles predict + oracles predict + oracles predict + oracles predict + oracles predict + oracles predict + oracles predict + oracles predict + oracles predict + oracles predict + oracles predict + oracles predict + oracles predict + oracles predict + oracles predict + oracles predict + 13 + r e32t 8smc 9i ab14 e s4 +-+-+-+-+-+-+-+ +-+-+-+-+-+-+-+ , e| 8 1 e D ry a4a e ta 9 e + t s5 e ² 348 th8no 2 4at t |o|r|a|c|l|e|s| ar3i |p|r|e|d|i|c|t| 63 s 1 tc39,l3h, d14 5au on w + 4 SI, 1 56 e|p 4 iu g7 e +-+-+-+-+-+-+-+ 39k +-+-+-+-+-+-+-+ 9 l o a d r 7 P _ e,a + + n w 2a p/+ 9f8 1of 5\i 4h h e2n 3 t on1 9t \ 94 ne2 + uu e n 63m 5 e a3 2n e, + sn 39ew nt1i -5d 632sd e 15t |a3% 3 c wt9 c n9sg6et 8 8 c , n 1poo F + 1 3 o 1g18e +-+-+-+-+-+-+-+ +-+-+-+-+-+-+-+-+ 7 +-+-+-+-+-+-+-+-+ +-+-+-+ 4 n t2+a- 8 43 8 3p4 + n o tpn86i |m|a|c|h|i|n|e| |l|e|a|r|n|i|n|g| 2 |a|n|a|l|y|s|e|s| |a|n|d| a 5e v3 5 9 o56n n + e9n 4 5 +-+-+-+-+-+-+-+ +-+-+-+-+-+-+-+-+ etn +-+-+-+-+-+-+-+-+ +-+-+-+ li 5p 8f i h + 3 6 k6 3i6 3 9y e , r6 6iA wg r1 +-+-+-+-+-+-+-+-+ 3 e e a y l hl + -N 7 g n6d 14t l1 9ui | _rs e i e 1 |p|r|e|d|i|c|t|s| 1 wn9uc tn s 6m + a rrh4 7 oly e e e e 4 62 y a e +-+-+-+-+-+-+-+-+ g 8a 3 V l% u a i 1 7 1 + ’ h | 8 8 5 _ n , 8r 4 1_ +-+-+-+-+-+-+ .r +-+-+-+-+ +-+-+-+-+-+-+-+ 5 r 3 9 1 p o f a + r v t 4 o 9 w2 4r |m|o|d|e|l|s| g r |h|a|v|e| |l|e|a|r|n|e|d| 1 n r1 8 2 sro + 1 ,d c T2 8 9 41 6 +-+-+-+-+-+-+ c +-+-+-+-+ +-+-+-+-+-+-+-+ d3 s m 6 d n f c t e + t t r 1 6 .ofoi t 5 67 1 +-+-+-+-+-+-+ 7 +-+-+-+ +-+-+-+-+ 4o e e 5 1 98 g , + + rw l 9 96 a 3t np , |m|o|d|e|l|s| |a|r|e| |u|s|e|d| , e uu 3 l c t + 3 28e 95 9 h _ n +-+-+-+-+-+-+ +-+-+-+ +-+-+-+-+ a9 1e _eu p e d e w + n w r n n f 8 c , d +-+-+-+-+ a +-+-+-+-+-+-+-+-+-+ 84 i e l8 t + + o mf 7 |t|h|e|y| d |i|n|f|l|u|e|n|c|e| o n a bntq c d n7 8 + - s e 9 n 7 77 8 +-+-+-+-+ aa +-+-+-+-+-+-+-+-+-+ t a 6 1 | c4 + h o l6 o 9 8 o +-+-+-+-+ i +-+-+-+-+ +-+-+-+-+-+ +-+-+-+ e r 3e9 h 6 + o -n p 9 f n s 8hr |t|h|e|y| e- |h|a|v|e| |t|h|e|i|r| |s|a|y| lV d tr + r 2 6 6 a +-+-+-+-+ %5 +-+-+-+-+ +-+-+-+-+-+ +-+-+-+ 3 ip n 5n + r 7 o( s +-+-+-+-+-+-+-+-+-+-+-+ 5 4 a o 7 3 e 6 n- t n f d it + p 1 e |i|n|f|o|r|m|a|t|i|o|n| 4n i3 c, 6 t 1 l ma 7 + 1 d b +-+-+-+-+-+-+-+-+-+-+-+ a 7 t 4 7 s w 3a e + 4 3 3 +-+-+-+-+-+-+-+-+-+-+ +-+-+-+-+-+-+-+-+-+-+ d i 2 + 6 e r C |e|x|t|r|a|c|t|i|o|n| |r|e|c|o|g|n|i|z|e|s| r + %_ e d kb h +-+-+-+-+-+-+-+-+-+-+ +-+-+-+-+-+-+-+-+-+-+ a + 3 c +-+-+-+-+ m v +7 + 9 l 5 so h a a |t|e|x|t| 5 5 e 3 9 P p 5 +-9 t u5 7 ' l +-+-+-+-+ m ao n- r + i y +-+-+-+-+-+-+-+-+-+-+-+-+-+-+ +-+-+-+-+-+-+-+ 8 1 + a 9 37 |c|l|a|s|s|i|f|i|c|a|t|i|o|n| |d|e|t|e|c|t|s| c + 4 I r t p h +-+-+-+-+-+-+-+-+-+-+-+-+-+-+ o +-+-+-+-+-+-+-+ O pe u + g rk 4 7 1 5 5 9 i 4 c 5 2 + o 3 p h 9 v r f 3d + d , 3r 5i g h 1 4 l 5 + h w c 7 e 3 yo n +h 5 5 2 e m o , c 2 r + s 3 1 7 s 1 e 1 + l 6 t e 6 1 r b 2 4 + e r 4 4 o s 4 + 9 ,i pw o c + 1 6 n , a 5 + e e i 4 p t , ' s + ei 9 t + 6 t l u 6 9 + V 8 c | _ a + r o 5 r | 3 t t + 1 1 o 3 _ + o l 6 i 7 + O w e + 8 7 M se + % i 3 e + p 3 9 + a r a b i n o a + 7 e 4 s o tl t + 9 r s 94 c + o k5 l 2 | a r T 1 , + r r 2 s + | , n + o t 5 + l t r si + e y s t + y e o + r 8 e 1 h + 2 n 6 5 + r n 5 s + + 14 + V V V V V V V V %% %% % % % % % + V V V V V V V V V V V V V V V V 0 % 0 % 0 0 %% 0 % % %% +V V V % V % V V V V V % % %% % 0 0 0 0 % 0 0 00 + % % % %% % % _____ _ 0 _ _ 0 _ _ % % + % % 0 /__ \ |__ ___ /_\ | | __ _ ___ | (_) % + % ORACLES % % % % % 0 / /\/ '_ \ / _ \ //_\\| |/ _` |/ _ \| | | ___ % + % % %% / / | | | | __/ / _ \ | (_| | (_) | | ||___| + % % \/ |_| |_|\___| \_/ \_/_|\__, |\___/|_|_| + V V V V V V V V % 0 % % % 0 |___/ % + V V V V V V V V V V V V V V V V % 0 0 %% _ 0 0 _ 0 % 0 % +V V V V V V V V V 0 | |_ ___ _ __ __ _| |_ ___ _ __ % + V V V V V V V V % % % % | __/ _ \ '__/ _` | __/ _ \| '__| % + V V V V V V V V V V V V V V V V % | || __/ | | (_| | || (_) | | +V V V V V V V V V \__\___|_| \__,_|\__\___/|_| + % 0 0 % +Machine learning is mainly used to % % +analyse and predict situations by Algolit % +based on existing cases. In this +exhibition we focus on machine The Algoliterator is a neural network trained using the selection +learning models for text processing of digitized works of the Mundaneum archive. % +or Natural Language Processing % +(NLP). These models have learned to With the Algoliterator you can write a text in the style of the +perform a specific task on the ba- International Institutions Bureau. The Algoliterator starts by +sis of existing texts. The models selecting a sentence from the archive or corpus used to train it. +are used for search engines, ma- You can then continue writing yourself or, at any time, ask the +chine translations and summaries, Algoliterator to suggest a next sentence: the network will gener- +spotting trends in new media net- ate three new fragments based on the texts it has read. You can +works and news feeds. They influ- control the level of training of the network and have it generate +ence what you get to see as a user, sentences based on primitive training, intermediate training or +but also have their say in the final training. +course of stock exchanges world- +wide, the detection of cybercrime When you're satisfied with your new text, you can print it on the +and vandalism, etc. thermal printer and take it home as a souvenir. + % +There are two main tasks when it % --- +comes to language understanding. +Information extraction looks at Sources: https://gitlab.constantvzw.org/algolit/algoliterator.clone +concepts and relations between con- +cepts. This allows for recognizing Concept, code & interface: Gijs de Heij & An Mertens +topics, places and persons in a +text, summarization and questions & Technique: Recurrent Neural Network +answering. The other task is text +classification. You can train an Original model: Andrej Karphaty, Justin Johnson % +oracle to detect whether an email +is spam or not, written by a man or +a woman, rather positive or nega- % % +tive. 0 0 0 0 0 0 + 0 0 0 0 0 0 0 +In this zone you can see some of __ __ 0 _ 0 _ 0 +those models at work. During your 0 0 / / /\ \ \___ _ __ __| |___ (_)_ __ +further journey through the exhibi- \ \/ \/ / _ \| '__/ _` / __| | | '_ \ +tion you will discover the differ- \ /\ / (_) | | | (_| \__ \ | | | | | +ent steps that a human-machine goes \/ \/ \___/|_| \__,_|___/ |_|_| |_| +through to come to a final model. 0 __ 0 + 00 0 / _\_ __ __ _ ___ ___ 0 + 00 0 \ \| '_ \ / _` |/ __/ _ \ + _\ \ |_) | (_| | (_| __/ 0 + % 0 \__/ .__/ \__,_|\___\___| + 0 0 |_| 0 + 0 0 0 0 0 0 + + by Algolit + + Word embeddings are language modelling techniques that through + multiple mathematical operations of counting and ordering, plot + words into a multi-dimensional vector space. When embedding + words, they transform from being distinct symbols into mathemati- + cal objects that can be multiplied, divided, added or substracted. + + 15 + %%% % % % % % % % %% % %% % %% %% % %% % % % + % % % % %%% %% %% By distributing the words along the many diagonal lines of the + % % % multi-dimensional vector space, their new geometrical placements + % % become impossible to perceive by humans. However, what is gained + % % % are multiple, simultaneous ways of ordering. Algebraic operations + % %% % make the relations between vectors graspable again. % + % % + % % % This installation uses Gensim, an open-source vector space and + topic-modelling toolkit implemented in the programming language % + Python. It allows to manipulate the text using the mathematical + relationships that emerge between the words, once they have been + % % % plotted in a vector space. % + % % % % % + % % % --- % + % % + % Concept & interface: Cristina Cochior + % % % % + Technique: word embeddings, word2vec % + % + % % Original model: Radim Rehurek and Petr Sojka + % % % + % % + % 0 00 0 0 + 0 + % ___ _ 0 _ __ 0 _ 0 + % 0 / __\ | __ _ ___ ___(_)/ _|_ 0 _(_)_ __ __ _ + / / | |/ _` / __/ __| | |_| | | | | '_ \ / _` | + / /___| | (_| \__ \__ \ | _| |_| | | | | | (_| | + \____/|_|\__,_|___/___/_|_| \__, |_|_| |_|\__, | % + 0 0 0 0 0 |___/ |___/ + _ _ __ __ _ _ + % 0 0 | |_| |__ ___ / / /\ \ \___ _ __| | __| | + % 0 | __| '_ \ / _ \ \ \/ \/ / _ \| '__| |/ _` | + 0 | |_| | | | __/ \ /\ / (_) | | | | (_| | + \__|_| |_|\___| \/ \/ \___/|_| |_|\__,_| + 0 0 0 + % + by Algolit + + % Librarian Paul Otlet's life work was the construction of the Mun- + daneum. This mechanical collective brain would house and distrib- + ute everything ever committed to paper. Each document was classi- + % fied following the Universal Decimal Classification. Using tele- + graphs and especially, sorters, the Mundaneum would have been + able to answer any question from anyone. + + With the collection of digitized publications we received from + the Mundaneum, we built a prediction machine that tries to clas- + % sify the sentence you type in one of the main categories of + Universal Decimal Classification. You also witness how the ma- + chine 'thinks'. During the exhibition, this model is regularly + retrained using the cleaned and annotated data visitors added in + % Cleaning for Poems and The Annotator. % + + The main classes of the Universal Decimal Classification system + are: + % % + 0 - Science and Knowledge. Organization. Computer Science. Infor- + mation Science. Documentation. Librarianship. Institutions. + Publications % + + 1 - Philosophy. Psychology + + 2 - Religion. Theology + % + 3 - Social Sciences + % + 4 - vacant + + 16 + %% %% %%% %% % %% 5 - Mathematics. Natural Sciences % % % % % % %% % + % % %% % % % %% %% %% % % % % % % + % % % % 6 - Applied Sciences. Medicine, Technology % + % % % % % % % %% + % %% % 7 - The Arts. Entertainment. Sport % %% % + % %% % % % % % % + % % 8 - Linguistics. Literature % % + % % % % % % % % % % + % % % % 9 - Geography. History % %% % + %% % % % + % % % --- + % % % + % Concept, code, interface: Sarah Garcin, Gijs de Heij, An Mertens + % % % % % + % % + % % 0 0 % 0 % + %% 000 0 0 % 0 + % ___ 00 _ 0 % + 0 / _ \___ ___ _ __ | | ___ % + 0 0 / /_)/ _ \/ _ \| '_ \| |/ _ \ + 0 0 / ___/ __/ (_) | |_) | | __/ 0 + 0 \/ % \___|\___/| .__/|_|\___| + 0 0 0 |_| 0 + % _ _ _ 0 _ 0 0 + 0 0 __| | ___ _ __( ) |_ | |__ __ ___ _____ % + % / _` |/ _ \| '_ \/| __| | '_ \ / _` \ \ / / _ \ % + | (_| | (_) | | | || |_ | | | | (_| |\ V / __/ + 0 \__,_|\___/|_| |_| \__| |_| |_|\__,_| \_/ \___| + 0 + _ 0 _ _ 0 + | |__ _ _| |_| |_ ___ _ __ ___ + | '_ \| | | | __| __/ _ \| '_ \/ __| + % 0 | |_) | |_| | |_| || (_) | | | \__ \ + 0 |_.__/ \__,_|\__|\__\___/|_| |_|___/ + 0 0 + % + by Algolit + + Since the early days of artificial intelligence (AI), researchers + have speculated about the possibility of computers thinking and + communicating as humans. In the 1980s, there was a first revolu- + tion in Natural Language Processing (NLP), the subfield of AI + concerned with linguistic interactions between computers and hu- + mans. Recently, pre-trained language models have reached state- + of-the-art results on a wide range of NLP tasks, which intensi- + % fies again the expectations of a future with AI. + % + This sound work, made out of audio fragments of scientific docu- + mentaries and AI-related audiovisual material from the last half + century, explores the hopes, fears and frustrations provoked by + these expectations. + + --- + + % Concept, sound edit: Javier Lloret + % + List of sources: 'The Machine that Changed the World : + Episode IV -- The Thinking Machine', 'The Imitation Game', + 'Maniac', 'Halt & Catch Fire', 'Ghost in the Shell', + 'Computer Chess', '2001: A Space Odyssey', Ennio Morricone, + Gijs Gieskes, André Castro. + + + + + + + + + 17 + CONTEXTUAL STORIES + ABOUT ORACLES + + + + Oracles are prediction or profiling machines. Sweeney based her research on queries of 2184 raci- + They are widely used in smartphones, computers, ally associated personal names across two websites. + tablets. + 88 per cent of first names, identified as + Oracles can be created using different techniques. being given to more black babies, are found pre- + One way is to manually define rules for them. As dictive of race, against 96 per cent white. First + prediction models they are then called rule-based names that are mainly given to black babies, such +models. Rule-based models are handy for tasks that as DeShawn, Darnell and Jermaine, generated ads +are specific, like detecting when a scientific pa- mentioning an arrest in 81 to 86 per cent of name +per concerns a certain molecule. With very little searches on one website and in 92 to 95 per cent + sample data, they can perform well. on the other. Names that are mainly assigned to + whites, such as Geoffrey, Jill and Emma, did not + But there are also the machine learning or statis- generate the same results. The word 'arrest' only + tical models, which can be divided in two oracles: appeared in 23 to 29 per cent of white name + 'supervised' and 'unsupervised' oracles. For the searches on one site and 0 to 60 per cent on the + creation of supervised machine learning models, other. + humans annotate sample text with labels before + feeding it to a machine to learn. Each sentence, On the website with most advertising, a black- + paragraph or text is judged by at least three an- identifying name was 25 percent more likely to get + notators: whether it is spam or not spam, positive an ad suggestive of an arrest record. A few names + or negative etc. Unsupervised machine learning did not follow these patterns: Dustin, a name +models don't need this step. But they need large mainly given to white babies, generated an ad sug- +amounts of data. And it is up to the machine to gestive of arrest in 81 and 100 percent of the +trace its own patterns or 'grammatical rules'. Fi- time. It is important to keep in mind that the ap- + nally, experts also make the difference between pearance of the ad is linked to the name itself. + classical machine learning and neural networks. It is independent of the fact that the name has an + You'll find out more about this in the Readers arrest record in the company's database. + zone. + Reference + Humans tend to wrap Oracles in visions of Paper: https://dataprivacylab.org/projects/ + grandeur. Sometimes these Oracles come to the sur- onlineads/1071-1.pdf + face when things break down. In press releases, + these sometimes dramatic situations are called + 'lessons'. However promising their performances --- What is a good employee? --- + seem to be, a lot of issues remain to be solved. +How do we make sure that Oracles are fair, that Since 2015 Amazon employs around 575,000 workers. +every human can consult them, and that they are And they need more. Therefore, they set up a team +understandable to a large public? Even then, exis- of 12 that was asked to create a model to find the + tential questions remain. Do we need all types of right candidates by crawling job application web- + artificial intelligence (AI) systems? And who de- sites. The tool would give job candidates scores + fines what is fair or unfair? ranging from one to five stars. The potential fed + the myth: the team wanted it to be a software that + would spit out the top five human candidates out + --- Racial AdSense --- of a list of 100. And those candidates would be + hired. + A classic 'lesson' in developing Oracles was docu- + mented by Latanya Sweeney, a professor of Govern- The group created 500 computer models, focused on + ment and Technology at Harvard University. In specific job functions and locations. They taught + 2013, Sweeney, of African American descent, each model to recognize some 50,000 terms that +googled her name. She immediately received an ad- showed up on past candidates’ letters. The algo- +vertisement for a service that offered her ‘to see rithms learned to give little importance to skills +the criminal record of Latanya Sweeney’. common across IT applicants, like the ability to + write various computer codes. But they also + Sweeney, who doesn’t have a criminal record, began learned some decent errors. The company realized, + a study. She started to compare the advertising before releasing, that the models had taught them- + that Google AdSense serves to different racially selves that male candidates were preferable. They + identifiable names. She discovered that she re- penalized applications that included the word 'wo- + ceived more of these ads searching for non-white men’s,' as in 'women’s chess club captain'. And they + ethnic names, than when searching for tradition- downgraded graduates of two all-women’s colleges. + ally perceived white names.You can imagine how + damaging it can be when possible employers do a This is because they were trained using the job + simple name search and receive ads suggesting the applications that Amazon received over a ten-year + existence of a criminal record. period. During that time, the company had mostly + + 18 + + + + + hired men. Instead of providing the 'fair' deci- tools become tools of awareness. + sion-making that the Amazon team had promised, the + models reflected a biased tendency in the tech in- The team developed a model to analyse word embed- + dustry. And they also amplified it and made it in- dings trained over 100 years of texts. For contem- + visible. Activists and critics state that it could porary analysis, they used the standard Google + be exceedingly difficult to sue an employer over News word2vec Vectors, a straight-off-the-shelf + automated hiring: job candidates might never know downloadable package trained on the Google News + that intelligent software was used in the process. Dataset. For historical analysis, they used embed- + dings that were trained on Google Books and the + Reference Corpus of Historical American English (COHA +https://www.reuters.com/article/us-amazon-com- https://corpus.byu.edu/coha/) with more than 400 +jobs-automation-insight/amazonscraps-secret-ai- million words of text from the 1810s to 2000s. As a +recruiting-tool-that-showed-bias-against-women- validation set to test the model, they trained em- + idUSKCN1MK08G beddings from the New York Times Annotated Corpus + for every year between 1988 and 2005. + + --- Quantifying 100 Years The research shows that word embeddings capture + of Gender and Ethnic Stereotypes --- changes in gender and ethnic stereotypes over + time. They quantifiy how specific biases decrease + Dan Jurafsky is the co-author of 'Speech and Lan- over time while other stereotypes increase. The + guage Processing', one of the most influential major transitions reveal changes in the descrip- + books for studying Natural Language Processing tions of gender and ethnic groups during the + (NLP). Together with a few colleagues at Stanford women’s movement in the 1960-1970s and the Asian- + University, he discovered in 2017 that word embed- American population growth in the 1960s and 1980s. +dings can be a powerful tool to systematically +quantify common stereotypes and other historical A few examples: +trends. + The top ten occupations most closely associated + Word embeddings are a technique that translates with each ethnic group in the contemporary + words to numbered vectors in a multi-dimensional Google News dataset: + space. Vectors that appear next to each other, + indicate similar meaning. All numbers will be - Hispanic: housekeeper, mason, artist, janitor, + grouped together, as well as all prepositions, dancer, mechanic, photographer, baker, cashier, + person's names, professions. This allows for the driver + calculation of words. You could substract London + from England and your result would be the same as - Asian: professor, official, secretary, + substracting Paris from France. conductor, physicist, scientist, chemist, tailor, + accountant, engineer +An example in their research shows that the vector +for the adjective 'honorable' is closer to the - White: smith, blacksmith, surveyor, sheriff, +vector for 'man' whereas the vector for 'submissive' weaver, administrator, mason, statistician, + is closer to 'woman'. These stereotypes are auto- clergy, photographer + matically learned by the algorithm. It will be pro- + blematic when the pre-trained embeddings are then The 3 most male occupations in the 1930s: + used for sensitive applications such as search ran- engineer, lawyer, architect. + kings, product recommendations, or translations. The 3 most female occupations in the 1930s: + This risk is real, because a lot of the pre- nurse, housekeeper, attendant. + trained embeddings can be downloaded as off- + the-shelf-packages. Not much has changed in the 1990s. + + It is known that language reflects and keeps cul- Major male occupations: + tural stereotypes alive. Using word embeddings to architect, mathematician and surveyor. + spot these stereotypes is less time-consuming and Female occupations: +less expensive than manual methods. But the imple- nurse, housekeeper and midwife. +mentation of these embeddings for concrete predic- +tion models, has caused a lot of discussion within Reference + the machine learning community. The biased models https://arxiv.org/abs/1711.08412 + stand for automatic discrimination. Questions are: + is it actually possible to de-bias these models + completely? Some say yes, while others disagree: --- Wikimedia's Ores service --- + instead of retro-engineering the model, we should + ask whether we need it in the first place. These Software engineer Amir Sarabadani presented the + researchers followed a third path: by acknowledg- ORES-project in Brussels in November 2017 during + ing the bias that originates in language, these the Algoliterary Encounter. + + 19 + + + +This 'Objective Revision Evaluation Service' uses Twitter. She lived for less than 24 hours before + machine learning to help automate critical work on she was shut down. Few people know that before + Wikimedia, like vandalism detection and the re- this incident, Microsoft had already trained and + moval of articles. Cristina Cochior and Femke released XiaoIce on WeChat, China's most used chat + Snelting interviewed him. application. XiaoIce's success was so promising + that it led to the development of its American + Femke: To go back to your work. In these days you version. However, the developers of Tay were + tried to understand what it means to find bias in not prepared for the platform climate of Twitter. + machine learning and the proposal of Nicolas Although the bot knew how to distinguish a noun + Maleve, who gave the workshop yesterday, was nei- from an adjective, it had no understanding of the + ther to try to fix it, nor to refuse to deal with actual meaning of words. The bot quickly learned + systems that produce bias, but to work with them. to copy racial insults and other discriminative +He says that bias is inherent to human knowledge, language it learned from Twitter users and troll +so we need to find ways to somehow work with it. attacks. +We're just struggling a bit with what would that + mean, how would that work... So I was wondering Tay's appearance and disappearance was an impor- + whether you had any thoughts on the question of tant moment of consciousness. It showed the possi- + bias. ble corrupt consequences that machine learning can + have when the cultural context in which the algo- + Amir: Bias inside Wikipedia is a tricky question rithm has to live is not taken into account. + because it happens on several levels. One level + that has been discussed a lot is the bias in ref- Reference + erences. Not all references are accessible. So one https://chatbotslife.com/the-accountability-of-ai- + thing that the Wikimedia Foundation has been try- case-study-microsofts-tay-experiment-ad577015181f + ing to do, is to give free access to libraries + that are behind a pay wall. They reduce the bias +by only using open-access references. Another type +of bias is the Internet connection, access to the +Internet. There are lots of people who don't have + it. One thing about China is that the Internet + there is blocked. The content against the govern- + ment of China inside Chinese Wikipedia is higher + because the editors [who can access the website] + are not people who are pro government, and try to + make it more neutral. So, this happens in lots of + places. But in the matter of artificial intelli- + gence (AI) and the model that we use at Wikipedia, + it's more a matter of transparency. There is a + book about how bias in AI models can break peo- + ple's lives, it's called 'Weapons of Math Destruc- +tion'. It talks about AI models that exist in the +US that rank teachers and it's quite horrible be- +cause eventually there will be bias. The way to + deal with it based on the book and their research + was first that the model should be open source, + people should be able to see what features are + used and the data should be open also, so that + people can investigate, find bias, give feedback + and report back. There should be a way to fix the + system. I think not all companies are moving in + that direction, but Wikipedia, because of the val- + ues that they hold, are at least more transparent + and they push other people to do the same thing. + +Reference +https://gitlab.constantvzw.org/algolit/algolit +/blob/master/algoliterary_encounter/Interview% + 20with%20Amir/AS.aac + + + --- Tay --- + + One of the infamous stories is that of the machine + learning programme Tay, designed by Microsoft. + Tay was a chat bot that imitated a teenage girl on + + 20 +cleaners clean cleaners clean cleaners clean cleaners clean cleaners clean cleaners clean + cleaners clean cleaners clean cleaners clean cleaners clean cleaners clean + cleaners clean cleaners clean cleaners clean cleaners clean + cleaners clean cleaners clean cleaners clean + cleaners clean cleaners clean cleaners clean cle +ners clean cleaners clean cleaners clean +cleaners clean cleaners clean cleaners clean + cleaners clean cleaners clean cleaners +lean cleaners clean cleaners clean + cleaners clean cleaners clean + cleaners clean cleaners clean cle +ners clean cleaners clean cleaners +clean cleaners clean cleaners +lean cleaners clean cleane +s clean cleaners clean +cleaners clean cleaners clean + cleaners clean cleaners clean + cleaners clean cleaners clean + cleaners clean + cleaners clean cleaners clean + cleaners clean cleaners clean + cleaners clean + cleaners clean cleaners clean + cleaners clean + cleaners clean cleaners clean + cleaners clean + cleaners clean cleaners +clean cleaners clean + cleaners clean + cleaners clean cleaners clean + cleaners clean + cleaners clean + cleaners clean cleaners +clean cleaners clean + cleaners clean + cleaners clean + cleaners clean cle +ners clean cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean cleaners +lean cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean + 21 + r u e n 7 c %9 2 y m V +-+-+-+-+-+-+-+-+ e4 +-+-+-+-+-+ 9 -t 0n neof e 5 r6 7 kln + ci p '.s w s u 18 u n |c|l|e|a|n|e|r|s| 2 |c|l|e|a|n| et.t o % s eii4t i ktu 4i w + + t 6 . 3e -6 6 rVle 17 +-+-+-+-+-+-+-+-+ rg +-+-+-+-+-+ .e o n 7 ci i 0 e h eR e85 orh + n x h r 4 h t5 7hoh 4 t ei g + n e3 tt np% k s +h_ hees ir w n +6 l rt 8 oe e Fe + r5b t ua0e 3ei n a 1 t8 rd t 7 li \ 7n v2 tq e e6 a as o + 2b t t m oe f c8 lx - g9 r - -s+ +-+-+ h +-+-+-+-+-+-+ 8f o1 Ao % r - 5i 2 e - r + x p n4h e6 s n8 / s7 . 95 sti |w|e| eno |h|e|l|p|e|d| +e r a2 sy n gyl 2u e sti6t + ch% _ 1r se o + t t 4, 1 t9 l +-+-+ e +-+-+-+-+-+-+ t r i 7 rs u ie o o,4 h + , 5 5h g gs 6u5e e0 95 eif e % +-+-+ s 9 +-+-+-+-+-+-+-+ o+ m iy n6 m _4 l oae s+ da + e w i_|e e a 6 an |w|e| | |c|l|e|a|n|e|d| 7 i a e r l 7 + se 8w ,p+tn i d t 1 g s ae l +-+-+ tec +-+-+-+-+-+-+-+ - ts e e,d % e 8e i + r i _6sog y L5 e v +-+-+-+-+-+ +-+-+-+-+ er +-+-+ +-+-+-+-+-+-+ Ies f e/ 8rh gr o 5 ac55 e + ( h s s9 |h|u|m|a|n| |w|o|r|k| 96 7 |i|s| |n|e|e|d|e|d| i 8 d 13 l , i + - s tt 1 _ S +-+-+-+-+-+ +-+-+-+-+ _ +-+-+ +-+-+-+-+-+-+ r v Mr_ a3 f r , + a s l n 87 +-+-+-+-+-+-+-+-+-+-+-+ rh 9 t r 7 36 w i n e 2 n d m + i4 +2 c 6 o |p|o|o|r|l|y|-|p|a|i|d| w n 3 g e - 6 tk o- r r + w9 4 t 8p ie c rVv 5 +-+-+-+-+-+-+-+-+-+-+-+ b n h - 6 xc te|t ,2 5 n + 4 4 ,in 7 4( d +-+-+-+-+-+-+-+-+-+-+-+ l +-+-+-+-+-+ +-+-+-+ -d ah v + n5 . 4 6s_ + t 2- i l |f|r|e|e|l|a|n|c|e|r|s| te3c |c|a|r|r|y| |o|u|t| l e oee 1n 7 \ y1k + r r l p r 6 e +-+-+-+-+-+-+-+-+-+-+-+ 6|p +-+-+-+-+-+ +-+-+-+ s p o2 ) t -e : p 8 h + h9 h o 4l +-+-+-+-+-+-+-+-+-+-+ \ +-+-+ +-+-+-+-+-+-+-+-+-+ +-+-+-+-+ nb h 7 s4i1 3 + T z3 |h e 9 |v|o|l|u|n|t|e|e|r|s| 9 |d|o| |f|a|n|t|a|s|t|i|c| |w|o|r|k| 9 ws w 5 e6 x + a` o +-+-+-+-+-+-+-+-+-+-+ +-+-+ +-+-+-+-+-+-+-+-+-+ +-+-+-+-+ ih l 3 6 + 7 r 6 d G i6 1 3 e1 +-+-+-+-+-+-+-+ +-+-+-+-+-+-+ +-+-+ +-+-+-+-+ eir c e n% ui + l r 6 6s t r |w|h|o|e|v|e|r| |c|l|e|a|n|s| |u|p| |t|e|x|t| h 6 t i + t tc w a s e 9 +-+-+-+-+-+-+-+ F +-+-+-+-+-+-+ +-+-+ +-+-+-+-+ , 5 9s9 w e e + n m5 e 4 Mi e c i a U u r e 2 a i % .S g6 u 3 + _t f 2 t 5 t6 v V c a i f- ee l 9rni/ 3 a 7e 1 + 1o n 3 2 tn t 5 1o 7 r s / % uio + + 9 f a 4 - e o e t + i r + s 2 + ls_ nr e w i l V - 8e t 5 +i v 2 p o + l n e j n tr l V| n e w L r 8 + c l1 l i i a 8 t g0 y s + , a u r9 e 8 4 9 e | e 3 + n g8 r e? M d r a i l c + - n t r 4 e r l c ii e a + p r a a h 6 l 3 e s + i 4 c o | 6 v rh p7 3 % h t a +e e 1 6 6 p 15 8 e a n s d o 1 i 2 n + s e m t 2 w v a 6 i i + r 7 | a e 5 7 s 3 8 i 4 7 + e y 4 3 w 5 l unw5 4ie o3 439 o i % + r 6 e a 4a f n e + h a 5 o s i l s + - s | n D 4 + e 3 - 2 5 h a 1 V p n v + + 7 8n n a ar ) v + . n2 t 5 6r 8 | + u o _ e r l n, r 1 e + n ,e r s 7 a 7 + a e h t y d a 3 + u | 2 a s 4 t + 6 e t66 e % 2 3 y 3 n + a e o i , t 4 i e g c r + l t w 9 2 a + h v t , p c a r h c + l 4 g p1 + z i t o m a % a + i k | a i e +s a v c a , l lp + d 2 a + 3 o t + e + 5 n t p s i a 6 r + e 5 y,r m e , +g i 7 s i 5 s a + a a % r + 3 u p n + e \ 5 i p o l i + + 22 +% V V V V V V V % V % % % % %% % % %% % % % % % % % + V V V V V V V V V V V V V V V V % % % % 0 % % 0 % 0 0 % 0 % % %%% % +V V V V V V V V % V % 0 % 0 0 % % % + % % % %% ___ _ 0 % 00 _ % % % + % % % % 00 / __\ | ___ __ _ _ __ (_)_ __ __ _ % + CLEANERS % % / / | |/ _ \/ _` | '_ \| | '_ \ / _` | 0 % + % % % % % % 00 / /___| | __/ (_| | | | | | | | | (_| | % + % % % % % % 0 \____/|_|\___|\__,_|_| |_|_|_| |_|\__, | % + V V V V V V V V % 0 |___/ % % + V V V V V V V V V V V V V V V V __ 0 ___ 0 % 0 +V V V V V V V V V 0 / _| ___ _ __ / _ \___ ___ _ __ ___ ___ % + V V V V V V V V 0 % | |_ / _ \| '__| / /_)/ _ \ / _ \ '_ ` _ \/ __| % + V V V V V V V V V V V V V V V V 0 | _| (_) | | / ___/ (_) | __/ | | | | \__ \ +V V V V V V V V V |_| \___/|_| \/ 0 \___/ \___|_| |_| |_|___/ + 0 0 +Algolit chooses to work with texts %%% % +that are free of copyright. This by Algolit % % % +means that they have been published % % % +under a Creative Commons 4.0 li- For this exhibition we worked with 3 per cent of the Mundaneum's +cense – which is rare - or that archive. These documents were first scanned or photographed. To +they are in the public domain be- make the documents searchable they were transformed into text us- +cause the author died more than 70 ing Optical Character Recognition software (OCR). OCR are algo- +years ago. This is the case for the % rithmic models that are trained on other texts. They have learned +publications of the Mundaneum. We to identify characters, words, sentences and paragraphs. The +received 203 documents that we software often makes 'mistakes'. It might recognize a wrong char- +helped turn into datasets. They are acter, it might get confused by a stain an unusual font or the +now available for others online. reverse side of the page being visible. % +Sometimes we had to deal with poor % % % +text formats, and we often dedi- While these mistakes are often considered noise, confusing the +cated a lot of time to cleaning up training, they can also be seen as poetic interpretations of the +documents. We were not alone in do- algorithm. They show us the limits of the machine. And they also +ing this. reveal how the algorithm might work, what material it has seen in + training and what is new. They say something about the standards % +Books are scanned at high resolu- of its makers. In this installation we ask your help in verifying +tion, page by page. This is time- our dataset. As a reward we'll present you with a personal algo- +consuming, laborious human work and rithmic improvisation. +often the reason why archives and +libraries transfer their collec- --- +tions and leave the job to compa- % +nies like Google. The photos are Concept, code, interface: Gijs de Heij +converted into text via OCR (Opti- % +cal Character Recognition), a soft- +ware that recognizes letters, but +often makes mistakes, especially +when it has to deal with ancient +fonts and wrinkled pages. Yet more +wearisome human work is needed to +improve the texts. This is often +carried out by poorly-paid free- +lancers via micro-payment platforms +like Amazon's Mechanical Turk; or +by volunteers, like the community +around the Distributed Proofreaders +Project, which does fantastic work. +Whoever does it, or wherever it is +done, cleaning up texts is a tower- +ing job for which no structural au- +tomation yet exists. + + + + + + + + + + + + 23 + % % % % % %% % % % % % % % %% 0 0 % % % % % %% + % %% % % % 0 0 0 % %% % % %% %%% % + % % %% %%% 0 ___ _ _ _ _ 0 _ % _ + % % % % % 0 0 / (_)___| |_ _ __(_) |__ _ _| |_ ___ __| | % % + % % / /\ / / __| __| '__| | '_ \| | | | __/ _ \/ _` | + %% 0 / /_//| \__ \ |_| | | | |_) | |_| | || __/ (_| | %% + % % /___,' |_|___/\__|_| |_|_.__/ \__,_|\__\___|\__,_| + % % % ___ 0 __ 0 0 _ % + % / _ \_ __ ___ ___ / _|_ __ ___ __ _ __| | ___ _ __ ___ + % % / /_)/ '__/ _ \ / _ \| |_| '__/ _ \/ _` |/ _` |/ _ \ '__/ __| + / ___/| | | (_) | (_) | _| | | __/ (_| | (_| | __/ | \__ \ + % 0 \/ |_| \___/ \___/|_| |_| \___|\__,_|\__,_|\___|_| |___/ + 0 0 0 + % 0 % 0 % %% + % 0 0 0 % % + % % by Algolit % % + + Distributed Proofreaders is a web-based interface and an interna- + tional community of volunteers who help converting public domain + % % books into e-books. For this exhibition they proofread the Munda- + neum publications that appeared before 1923 and are in the public + domain in the US. Their collaboration meant a great relief for + the members of Algolit. Less documents to clean up! + + All the proofread books have been made available on the Project + Gutenberg archive. + + For this exhibition, An Mertens interviewed Linda Hamilton, the + general manager of Distributed Proofreaders. + + --- + % + Interview: An Mertens + % + Editing: Michael Murtaugh, Constant % + % + + + + + + + + + + + + + + + + + + + + + + % + + + + + + + + + + + + 24 + CONTEXTUAL STORIES + FOR CLEANERS + + + + --- Project Gutenberg and path to death – run your own code; dynamic change. + Distributed Proofreaders --- operate it. For nearly 84 years, the Turk won most + The Life Instinct: unification; the eternal re- + Project Gutenberg is our Ali Baba cave. It offers turn; the perpetuation and MAINTENANCE of the mate- + more than 58,000 free eBooks to be downloaded or rial; survival systems and operations; equilibrium. + read online. Works are accepted on Gutenberg when + their U.S. copyright has expired. Thousands of B. Two basic systems: Development and Maintenance. + volunteers digitize and proofread books to help +the project. An essential part of the work is done The sourball of every revolution: after the revo- +through the Distributed Proofreaders project. This lution, who’s going to try to spot the bias in +is a web-based interface to help convert public the output? + domain books into e-books. Think of text files, + EPUBs, Kindle formats. By dividing the workload Development: pure individual creation; the new; + into individual pages, many volunteers can work change; progress; advance; excitement; flight or + on a book at the same time; this speeds up the fleeing. + cleaning process. + Maintenance: keep the dust off the pure individual + During proofreading, volunteers are presented with creation; preserve the new; sustain the change; + a scanned image of the page and a version of the protect progress; defend and prolong the advance; + text, as it is read by an OCR algorithm trained to renew the excitement; repeat the flight; show your + recognize letters in images. This allows the text work – show it again, keep the git repository + to be easily compared to the image, proofread, and groovy, keep the data analysis revealing. +sent back to the site. A second volunteer is then +presented with the first volunteer's work. She Development systems are partial feedback systems +verifies and corrects the work as necessary, and with major room for change. + submits it back to the site. The book then simi- + larly goes through a third proofreading round, Maintenance systems are direct feedback systems + plus two more formatting rounds using the same web with little room for alteration. + interface. Once all the pages have completed these + steps, a post-processor carefully assembles them C. Maintenance is a drag; + into an e-book and submits it to the Project it takes all the fucking time (lit.) + Gutenberg archive. + The mind boggles and chafes at the boredom. + We collaborated with the Distributed Proofreaders + project to clean up the digitized files we re- The culture assigns lousy status on maintenance + ceived from the Mundaneum collection. From Novem- jobs = minimum wages, Amazon Mechanical Turks = +ber 2018 until the first upload of the cleaned-up virtually no pay. +book 'L'Afrique aux Noirs' in February 2019, An +Mertens exchanged about 50 emails with Linda Clean the set, tag the training data, correct the + Hamilton, Sharon Joiner and Susan Hanlon, all vol- typos, modify the parameters, finish the report, + unteers from the Distributed Proofreaders project. keep the requester happy, upload the new version, + The conversation is published online. It might attach words that were wrongly separated by OCR + inspire you to share unavailable books online. back together, complete those Human Intelligence + Tasks, try to guess the meaning of the requester's + formatting, you must accept the HIT before you can + --- An algoliterary version submit the results, summarize the image, add the + of the Maintenance Manifesto --- bounding box, what's the semantic similarity of + this text, check the translation quality, collect + In 1969, one year after the birth of her first your micro-payments, become a hit Mechanical Turk. + child, the New York artist Mierle Laderman Ukeles +wrote a Manifesto for Maintenance Art. The mani- Reference +festo calls for a readdressing of the status of +maintenance work both in the private, domestic https://www.arnolfini.org.uk/blog/manifesto-for- + space, and in public. What follows is an altered maintenance-art-1969 + version of her text inspired by the work of the + Cleaners. + --- A bot panic on Amazon Mechanical Turk --- + IDEAS + Amazon's Mechanical Turk takes the name of a + A. The Death Instinct and the Life Instinct: chess-playing automaton from the eighteenth cen- + tury. In fact, the Turk wasn't a machine at all. + The Death Instinct: separation; categorization; It was a mechanical illusion that allowed a human + avant-garde par excellence; to follow the predicted chess master to hide inside the box and manually + + 25 + + + + + of the games played during its demonstrations + around Europe and the Americas. Napoleon Bonaparte + is said to have been fooled by this trick too. + + The Amazon Mechanical Turk is an online platform + for humans to execute tasks that algorithms can- + not. Examples include annotating sentences as be- + ing positive or negative, spotting number plates, + discriminating between face and non-face. The jobs + posted on this platform are often paid less than a +cent per task. Tasks that are more complex or re- +quire more knowledge can be paid up to several +cents. To earn a living, Turkers need to finish as + many tasks as fast as possible, leading to in- + evitable mistakes. As a result, the requesters + have to incorporate quality checks when they post + a job on the platform. They need to test whether + the Turker actually has the ability to complete + the task, and they also need to verify the re- + sults. Many academic researchers use Mechanical + Turk as an alternative to have their students exe- + cute these tasks. + + In August 2018 Max Hui Bai, a psychology student +from the University of Minnesota, discovered that +the surveys he conducted with Mechanical Turk were +full of nonsense answers to open-ended questions. + He traced back the wrong answers and found out + that they had been submitted by respondents with + duplicate GPS locations. This raised suspicion. + Though Amazon explicitly prohibits robots from + completing jobs on Mechanical Turk, the company + does not deal with the problems they cause on + their platform. Forums for Turkers are full of + conversations about the automation of the work, + sharing practices of how to create robots that can + even violate Amazon’s terms. You can also find + videos on YouTube that show Turkers how to write a +bot to fill in answers for you. + +Kristy Milland, an Mechanical Turk activist, says: + 'Mechanical Turk workers have been treated really, + really badly for 12 years, and so in some ways I + see this as a point of resistance. If we were paid + fairly on the platform, nobody would be risking + their account this way.' + + Bai is now leading a research project among social + scientists to figure out how much bad data is in + use, how large the problem is, and how to stop it. + But it is impossible at the moment to estimate how + many datasets have become unreliable in this way. + +References +https://requester.mturk.com/create/projects/new + + https://www.wired.com/story/amazon-mechanical- + turk-bot-panic/ + + https://www.maxhuibai.com/blog/evidence-that- + responses-from-repeating-gps-are-random + + http://timryan.web.unc.edu/2018/08/12/data- + contamination-on-mturk/ + + 26 +informants inform informants inform informants inform informants inform informants inform info +mants inform informants inform informants inform informants inform informants i +form informants inform informants inform informants inform info +mants inform informants inform informants inform informants info +m informants inform informants inform informants inform + informants inform informants inform informants +inform informants inform informants inform + informants inform informants inform informants info +m informants inform informants inform + informants inform informants inform + informants inform informants inform in +ormants inform informants inform infor +ants inform informants inform info +mants inform informants inform +informants inform informants inform + informants inform informants inform + informants inform informants inform + informants inform infor +ants inform informants inform + informants inform informants inform + informants inform + informants inform informants inform + informants inform +informants inform informants inform + informants inform + informants inform informants inform + informants inform + informants inform informants +inform informants inform + informants inform + informants inform informants +inform informants inform + informants inform + informants inform + informants inform informants info +m informants inform + informants inform + informants inform + informants inform + informants inform informants +inform informants inform + informants inform + informants inform + informants inform + informants inform + informants inform + informants inform + informants inform + informants inform + informants inform +informants inform in +ormants inform info +mants inform infor +ants inform infor +ants inform info +mants inform in +ormants inform +informants inform + informants inform + informants inform + informants inform + informants inform + informants inform + informants inform + informants inform + informants inform + informants inform + informants inform + informants inform + 27 + r 8h3t i5 4 d 7 + +-+-+-+-+-+-+-+-+-+-+ c a +-+-+-+-+-+-+ e f n no6 - - t -as 7 ( e + a ah 5al ,n ri B |i|n|f|o|r|m|a|n|t|s| l |i|n|f|o|r|m| , 35e t s evn7 73r o2/ L ep - e + t : ca,i ma eeslh | +-+-+-+-+-+-+-+-+-+-+ r_ T +-+-+-+-+-+-+ 2o 73 pjt 7ng% e 84 + n 7 hnprs s9i 3a1 9e _ 9l e o pi rsa d o ii/5am sd rr1 1 n% + n8w + h|29 e s _ 3 . o i c i. e+1onIa 4 f p | lu e v1r _nth2i a%a ce 1e 7e 1y |t e r + xn r 8 sF w t -e +-+-+-+-+ +-+-+-+-+-+-+-+ e +-+-+-+-+-+-+-+-+ +-+-+-+-+-+-+-+-+-+ 1 i2 n l cn r3 + t e e ,i n ibC 6 |e|a|c|h| |d|a|t|a|s|e|t| |c|o|l|l|e|c|t|s| |d|i|f|f|e|r|e|n|t| iw tc a318 + e o l a Me -o r + +-+-+-+-+ +-+-+-+-+-+-+-+ d 9 +-+-+-+-+-+-+-+-+ +-+-+-+-+-+-+-+-+-+ +yc l p + +6 n 8 , a -rsb es 3 t t | bt ,p q +-+-+-+-+-+-+-+-+-+-+-+ +-+-+-+-+-+ 6 1d e 4 , 1 + + lk o95 sf s e - 2 b 0 rl n la / S f n |i|n|f|o|r|m|a|t|i|o|n| |a|b|o|u|t| 1 4r y7 n + i _ m ec cf 2|r 8ra5 n l 6t +-+-+-+-+-+-+-+-+-+-+-+ +-+-+-+-+-+ o t | r e + h_ ae3 5 Ti nf ao 7 l t n 9 9 h +e e-1 +-+-+-+ +-+-+-+-+-+ 7 t 8 - f mme 5 + t og m 9 i r. m l l j +t3 9 |t|h|e| |w|o|r|l|d| e97 3 9 t i s - o s + _i n l o er 8 n petc 141 s / i +-+-+-+ +-+-+-+-+-+ - 9 w 1 1 b + t4, r e u n8 a |t +-+-+-+-+-+-+-+-+ , |c +-+-+-+ +-+-+-+-+-+-+ +-+-+-+-+ 2r t 3 + o 6 9.o7e 7 Ce |d|a|t|a|s|e|t|s| V |a|r|e| |i|m|b|u|e|d| |w|i|t|h| 7 ig g ig 3xa + i r- p R h 8 rr m g _ t +-+-+-+-+-+-+-+-+ +-+-+-+ +-+-+-+-+-+-+ +-+-+-+-+ n f -c , + + - - 9 f k i r 6 e 665 a +-+-+-+-+-+-+-+-+-+-+-+ +-+-+-+-+ t m 1 9 6 + om _ 1e Tlh4 , f vr E |c|o|l|l|e|c|t|o|r|'|s| |b|i|a|s| 0 7 t e 2t + E5 r o r i i b e hw i a ne +-+-+-+-+-+-+-+-+-+-+-+ +-+-+-+-+ t a + m, m4 - a +-+-+-+-+ +-+-+-+-+-+-+-+-+ d +-+-+-+-+-+-+-+ +-+-+-+-+-+-+-+-+ 118 2a 6 + - l l |s|o|m|e| |d|a|t|a|s|e|t|s| rt3 |c|o|m|b|i|n|e| |m|a|c|h|i|n|i|c| k f e + d i i 1 e , h +-+-+-+-+ +-+-+-+-+-+-+-+-+ 5 +-+-+-+-+-+-+-+ +-+-+-+-+-+-+-+-+ i % _e r + _ f oi e u s dt y +-+-+-+-+-+ +-+-+-+-+ +-+-+-+-+-+ i n9 7 o + f f 5 h l9 a a b n |l|o|g|i|c| |w|i|t|h| |h|u|m|a|n| s n 79 e if e 0 + s i ln 6t a y t | ’7 / h +-+-+-+-+-+ +-+-+-+-+ +-+-+-+-+-+ 1 - 1n + s yn p p r oe xy +-+-+-+-+-+ c n d 6 _i a n + - n iu a v s, d o 7 eu e i |l|o|g|i|c| e as d m 2 v|h - | r + aL t5 l7 st A c S r c n r / +-+-+-+-+-+ tt o dr | V + s 9 +-+-+-+-+-+-+ +-+-+-+-+ d 7 + 5 77 2 t + z l x n |m|o|d|e|l|s| |t|h|a|t| d i n oS ad + a a a . _ t + ie 7 n n +-+-+-+-+-+-+ +-+-+-+-+ is r t 9 , | f 4 4 a t + 8 - 8 e +-+-+-+-+-+-+-+ 1 o 8 h h + t + s +m tb rh f 5 6r |r|e|q|u|i|r|e| s o l2 2 | + s o n + a - rr o n +-+-+-+-+-+-+-+ m | o y 4 r _ + 5 i +-+-+-+-+-+-+-+-+-+-+-+ +-+-+-+-+-+-+-+-+ +-+-+-+ d |m ? e + b 4 _ l ` |s|u|p|e|r|v|i|s|i|o|n| |m|u|l|t|i|p|l|y| |t|h|e| - s n 7 1 + Tn n - +-+-+-+-+-+-+-+-+-+-+-+ +-+-+-+-+-+-+-+-+ +-+-+-+ d 5 + ls t v 3i . - 6 +-+-+-+-+-+-+-+-+-+-+-+-+-+-+ h _ 28 9f + 4 s i h s- 4 4 l i |s|u|b|j|e|c|t|i|v|i|t|i|e|s| e a u + t + 9 fh lh,d +-+-+-+-+-+-+-+-+-+-+-+-+-+-+ 6 c 8 + 3 r c i 1 +-+-+-+-+-+-+ +-+-+-+-+-+-+-+-+-+ +-+-+-+-+ p - + fn o |m|o|d|e|l|s| c |p|r|o|p|a|g|a|t|e| |w|h|a|t| + 5 M 4 + 5 r g +-+-+-+-+-+-+ +-+-+-+-+-+-+-+-+-+ +-+-+-+-+ i t f + 9 t i y +-+-+-+-+-+-+-+ +-+-+-+-+ sv 7 + 6r +e n t7 + A h |t|h|e|y|'|v|e| |b|e|e|n| o 45 6 + m s t 9 o o _ s +-+-+-+-+-+-+-+ +-+-+-+-+ t o+ u e + s k8 3 l 2 - e +-+-+-+-+-+-+ e 6 e- t - + + es n 5 e o 4 |t|a|u|g|h|t| s 9 + t p e w , : o - +-+-+-+-+-+-+ t t 3 +e 6 r 8 t +-+-+-+-+ +-+-+ +-+-+-+ a eo m m 3 + e |s|o|m|e| |o|f| |t|h|e| + h e c + ee +-+-+-+-+ +-+-+ +-+-+-+ c h + o +-+-+-+-+-+-+-+-+ +-+-+-+-+ +-+-+ +-+-+-+-+-+-+-+ +-+-+ + i k t |d|a|t|a|s|e|t|s| |p|a|s|s| |a|s| |d|e|f|a|u|l|t| |i|n| o o o + +-+-+-+-+-+-+-+-+ i +-+-+-+-+ +-+-+ +-+-+-+-+-+-+-+ +-+-+ r d + a i m a . 1 +-+-+-+ +-+-+-+-+-+-+-+ s u + r h o 2 |t|h|e| |m|a|c|h|i|n|e| l t + + e a +-+-+-+ +-+-+-+-+-+-+-+ d 7 | + e a eo 4 +-+-+-+-+-+-+-+-+ +-+-+-+-+-+ + h n |l|e|a|r|n|i|n|g| |f|i|e|l|d| s n + t _s n +-+-+-+-+-+-+-+-+ +-+-+-+-+-+ + t n o +-+-+-+-+-+-+ +-+-+-+-+-+ +-+-+-+-+-+-+-+-+ e V + a d |h|u|m|a|n|s| |g|u|i|d|e| |m|a|c|h|i|n|e|s| u n + +-+-+-+-+-+-+ +-+-+-+-+-+ +-+-+-+-+-+-+-+-+ + c e 5 1 2 + r 6 r n 6 f + l o l + + 28 +% V V V V V V V % V % %% % %%% %% %% % %%% %%% % % %% + V V V V V V V V V V V V V V V V % % % % % %% 0 %% 0 % % % % % %%% % +V V V V V V V V V % % %% % % 0 0 % % % % + % % % % % % % % % % 00 0 _ % % % % % %% % % + % % % 0 /_\ _ __ % % + % INFORMANTS % % % //_\\| '_ \ % 0 + % % % % % 0 % % 0 / _ \ | | | % % % %% + % % % 0 \_/ \_/_| |_| 0 0 + V V V V V % V V V % __ _ _ 00 % 00 0 _ % + V V V V V V V V V V V V V V V V 0 /__\ |_| |__ _ __ ___ __ _ _ __ __ _ _ __ | |__ _ _ +V V V V V V V V V /_\ | __| '_ \| '_ \ / _ \ / _` | '__/ _` | '_ \| '_ \| | | | % + V V V V V V V V //__ | |_| | | | | | | (_) | (_| | | | (_| | |_) | | | | |_| | + V V V V V V V V V V V V V V V V % \__/ \__|_| |_|_| |_|\___/ \__, |_| \__,_| .__/|_| |_|\__, | +V V V V % V V V V V 0 0 % 0 % |___/ |_| 0 |___/ + % 0 0 __ 0 ___ % _ _ 0 % +Machine learning algorithms need ___ / _| / \__ _| |_ __ _ ___ ___| |_ ___ +guidance, whether they are super- 0 / _ \| |_ 0 / /\ / _` | __/ _` / __|/ _ \ __/ __| % +vised or not. In order to separate | (_) | _| / /_// (_| | || (_| \__ \ __/ |_\__ \ +one thing from another, they need \___/|_| /___,' \__,_|\__\__,_|___/\___|\__|___/ % % +material to extract patterns from. 0 0 0 +One should carefully choose the % % +study material, and adapt it to the by Algolit +machine's task. It doesn't make +sense to train a machine with nine- We often start the monthly Algolit meetings by searching for +teenth-century novels if its mis- datasets or trying to create them. Sometimes we use already-ex- +sion is to analyse tweets. A badly isting corpora, made available through the Natural Language +written textbook can lead a student Toolkit nltk. NLTK contains, among others, The Universal Declara- +to give up on the subject altogeth- tion of Human Rights, inaugural speeches from US presidents, or +er. A good textbook is preferably movie reviews from the popular site Internet Movie Database +not a textbook at all. (IMDb). Each style of writing will conjure different relations + % between the words and will reflect the moment in time from which +This is where the dataset comes in: they originate. The material included in NLTK was selected be- +arranged as neatly as possible, or- cause it was judged useful for at least one community of re- +ganized in disciplined rows and searchers. In spite of specificities related to the initial con- +lined-up columns, waiting to be text of each document, they become universal documents by de- +read by the machine. Each dataset fault, via their inclusion into a collection of publicly avail- +collects different information % able corpora. In this sense, the Python package manager for natu- +about the world, and like all col- ral language processing could be regarded as a time capsule. The +lections, they are imbued with col- main reason why The Universal Declaration for Human Rights was +lectors' bias. You will hear this included may have been because of the multiplicity of transla- +expression very often: 'data is the tions, but it also paints a picture of the types of human writing +new oil'. If only data were more that algorithms train on. +like oil! Leaking, dripping and +heavy with fat, bubbling up and With this work, we look at the datasets most commonly used by +jumping unexpectedly when in con- data scientists to train machine algorithms. What material do +tact with new matter. Instead, data they consist of? Who collected them? When? +is supposed to be clean. With each +process, each questionnaire, each --- % +column title, it becomes cleaner +and cleaner, chipping distinct % Concept & execution: Cristina Cochior +characteristics until it fits the % +mould of the dataset. % % + 0 0 00 0 +Some datasets combine the machinic 0 0 0 0 +logic with the human logic. The __ __ _ _ +models that require supervision 0 / / /\ \ \ |__ ___ __ _(_)_ __ ___ +multiply the subjectivities of both 0 \ \/ \/ / '_ \ / _ \ \ \ /\ / / | '_ \/ __| +data collectors and annotators, \ /\ /| | | | (_) | \ V V /| | | | \__ \ +then propagate what they've been 0 \/ \/ |_| |_|\___/ \_/\_/ |_|_| |_|___/ +taught. You will encounter some of 0 0 0 0 0 +the datasets that pass as default +in the machine learning field, as Who wins: creation of relationships +well as other stories of humans +guiding machines. by Louise Dekeuleneer, student Arts²/Section Visual Communication + + French is a gendered language. Indeed many words are female or + male and few are neutral. The aim of this project is to show that + a patriarchal society also influences the language itself. + + 29 + The work focused on showing whether more female or male words are + % % %%% % %% % used on highlighting the influence of context on the gender of %%%%% + % % % % % % words. At this stage, no conclusions have yet been drawn.  % + % % % % %% % % % % % % % % % % % + % %% Law texts from 1900 to 1910 made available by the Mundaneum have + % % %% % % been passed into an algorithm that turns the text into a list of % + %% % % % words. These words are then compared with another list of French % + % % % % % words, in which is specified whether the word is male or female. + This list of words comes from Google Books. They created a huge + % % % % database in 2012 from all the books scanned and available on + % Google Books. % % + % % % % % % % % + Male words are highlighted in one colour and female words in an- + % % % % other. Words that are not gendered (adverbs, verbs, etc.) are not + % % % highlighted. All this is saved as an HTML file so that it can be + % % directly opened in a web page and printed without the need for + % additional layout. This is how each text becomes a small booklet + by just changing the input text of the algorithm. + + % + 0 % 0 0 0 + 0 0 0 % + _____ _ 0 0 + % 0 0 /__ \ |__ ___ % 0 + % / /\/ '_ \ / _ \ 0 % + 0 / / | | | | __/ 0 + % 0 0 0 \/ |_| |_|\___| + % 0 _ 0 0 _ _ + /_\ _ __ _ __ ___ | |_ __ _| |_ ___ _ __ + //_\\| '_ \| '_ \ / _ \| __/ _` | __/ _ \| '__| + / _ \ | | | | | | (_) | || (_| | || (_) | | 0 + \_/ \_/_| |_|_| |_|\___/ \__\__,_|\__\___/|_| + 0 0 + % + by Algolit + + The annotator asks for the guidance of visitors in annotating + the archive of Mundaneum. + + The annotation process is a crucial step in supervised machine + learning where the algorithm is given examples of what it needs + to learn. A spam filter in training will be fed examples of spam + % and real messages. These examples are entries, or rows from the + dataset with a label, spam or non-spam. + + The labelling of a dataset is work executed by humans, they pick + a label for each row of the dataset. To ensure the quality of the + % labels multiple annotators see the same row and have to give the + same label before an example is included in the training data. + Only when enough samples of each label have been gathered in the + dataset can the computer start the learning process. + + In this interface we ask you to help us classify the cleaned + texts from the Mundaneum archive to expand our training set and + improve the quality of the installation 'Classifying the World' + in Oracles. + + --- + + Concept, code, interface: Gijs de Heij + + + + + + + + + + 30 + %% % % %% % % % % % + % %% % % 0 0 0 0 0 0 % % % + % % % % % 0 0 0 0 % % % % % + % % % % % 0 0 _ ___ ___ ___ 00 %% % + % % % % 0 0 / |/ _ \ / _ \ / _ \ 0 + %% % % 0 0 | | | | | | | | | | | % + % % % % 0 | | |_| | |_| | |_| | %% % + % % |_|\___/ \___/ \___/ 00 0 + % % % % 00 0 0 0 0 _ 00 % % % + % % % ___ _ _ _ __ ___ ___| |_ ___ + % % / __| | | | '_ \/ __|/ _ \ __/ __| % + % % %% 0 0 \__ \ |_| | | | \__ \ __/ |_\__ \ % % + 0 0 % |___/\__, |_| |_|___/\___|\__|___/ + 0 %% 0 |___/ % % 0 % + 0 0 0 0 __ _ % 0 _ 0 % % + 0 0 / /\ /(_)_ __ _ _| | + 0 | |\ \ / / | '_ \| | | | | + 0 % | | \ V /| | | | | |_| | | 0 0 + % | | \_/ |_|_| |_|\__, |_| % + % % 00 \_\ 0 |___/ 0 + % % % __ _ _ _ _ % __ 0 + 0 0 % /__\_| (_) |_(_) ___ _ __\ \ + % /_\/ _` | | __| |/ _ \| '_ \| | 0 + % //_| (_| | | |_| | (_) | | | | | + 0 \__/\__,_|_|\__|_|\___/|_| |_| | 0 + % % 00 0 0 /_/ + 0 0 00 + % + by Algolit + + Created in 1985, Wordnet is a hierarchical taxonomy that de- + scribes the world. It was inspired by theories of human semantic + % memory developed in the late 1960s. Nouns, verbs, adjectives and + adverbs are grouped into synonyms sets or synsets, expressing a + different concept. % + + ImageNet is an image dataset based on the WordNet 3.0 nouns hier- + archy. Each synset is depicted by thousands of images. From 2010 % + until 2017, the ImageNet Large Scale Visual Recognition Challenge + (ILSVRC) was a key benchmark in object category classification + % for pictures, having a major impact on software for photography, + image searches, image recognition. + + 1000 synsets (Vinyl Edition) contains the 1000 synsets used in + this challenge recorded in the highest sound quality that this + % analog format allows. This work highlights the importance of the + datasets used to train artificial intelligence (AI) models that + run on devices we use on a daily basis. Some of them inherit + classifications that were conceived more than 30 years ago. This + sound work is an invitation to thoughtfully analyse them. + + --- + + Concept & recording: Javier Lloret + + Voices: Sara Hamadeh & Joseph Hughes + + + + + + + + + + + + + + 31 + CONTEXTUAL STORIES + ABOUT INFORMANTS + + + + --- Datasets as representations --- community you try to distinguish what serves the + community and what doesn't and you try to general- + The data-collection processes that lead to the ize that, because I think that's what the good + creation of the dataset raise important questions: faith-bad faith algorithm is trying to do, to find + who is the author of the data? Who has the privi- helper tools to support the project, you do that + lege to collect? For what reason was the selection on the basis of a generalization that is on the + made? What is missing? abstract idea of what Wikipedia is and not on the + living organism of what happens every day. What +The artist Mimi Onuoha gives a brilliant example interests me in the relation between vandalism and +of the importance of collection strategies. She debate is how we can understand the conventional + chose the case of statistics related to hate drive that sits in these machine-learning pro- + crimes. In 2012, the FBI Uniform Crime Reporting cesses that we seem to come across in many places. + (UCR) Program registered almost 6000 hate crimes And how can we somehow understand them and deal + committed. However, the Department of Justice’s with them? If you place your separation of good + Bureau of Statistics came up with about 300.000 faith-bad faith on pre-existing labelling and then + reports of such cases. That is over 50 times as reproduce that in your understanding of what edits + many. The difference in numbers can be explained are being made, how then to take into account + by how the data was collected. In the first situa- movements that are happening, the life of the ac- + tion law enforcement agencies across the country tual project? + voluntarily reported cases. For the second survey, + the Bureau of Statistics distributed the National Amir: It's an interesting discussion. Firstly, +Crime Victimization form directly to the homes of what we are calling good faith and bad faith comes +victims of hate crimes. from the community itself. We are not doing la- + belling for them, they are doing labelling for + In the field of Natural Language Processing (NLP) themselves. So, in many different language + the material that machine learners work with is Wikipedias, the definition of what is good faith + text-based, but the same questions still apply: and what is bad faith will differ. Wikimedia is + who are the authors of the texts that make up the trying to reflect what is inside the organism and + dataset? During what period were the texts col- not to change the organism itself. If the organism + lected? What type of worldview do they represent? changes, and we see that the definition of good + faith and helping Wikipedia has been changed, we + In 2017, Google's Top Stories algorithm pushed a are implementing this feedback loop that lets + thread of 4chan, a non-moderated content website, people from inside their community pass judgement + to the top of the results page when searching for on their edits and if they disagree with the la- + the Las Vegas shooter. The name and portrait of an belling, we can go back to the model and retrain +innocent person were linked to the terrible crime. the algorithm to reflect this change. It's some +Google changed its algorithm just a few hours af- sort of closed loop: you change things and if +ter the mistake was discovered, but the error had someone sees there is a problem, then they tell us + already affected the person. The question is: why and we can change the algorithm back. It's an on- + did Google not exclude 4chan content from the going project. + training dataset of the algorithm? + Reference + Reference https://gitlab.constantvzw.org/algolit/algolit/blob/ + https://points.datasociety.net/the-point-of- master/algoliterary_encounter/Interview%20with%20Amir + collection-8ee44ad7c2fa + + https://arstechnica.com/information-technology --- How to make your dataset known --- + /2017/10/google-admits-citing-4chan-to-spread- + fake-vegas-shooter-news/ NLTK stands for Natural Language Toolkit. For pro- + grammers who process natural language using + Python, this is an essential library to work with. +--- Labeling for an Oracle that Many tutorial writers recommend machine learning + detects vandalism on Wikipedia --- learners to start with the inbuilt NLTK datasets. + It comprises 71 different collections, with a to- + This fragment is taken from an interview with Amir tal of almost 6000 items. + Sarabadani, software engineer at Wikimedia. He was + in Brussels in November 2017 during the Algoliter- There is for example the Movie Review corpus for + ary Encounter. sentiment analysis. Or the Brown corpus, which was + put together in the 1960s by Henry Kučera and W. + Femke: If you think about Wikipedia as a living Nelson Francis at Brown University in Rhode Is- + community, with every edit the project changes. land. There is also the Declaration of Human + Every edit is somehow a contribution to a living Rights corpus, which is commonly used to test + organism of knowledge. So, if from within that whether the code can run on multiple languages. + + 32 + + + + + The corpus contains the Declaration of Human Rights In fact, at the beginning of Wikipedia, + expressed in 372 languages from around the world. many articles were written by bots. + Rambot, for example, was a controversial bot + But what is the process of getting a dataset ac- figure on the English-speaking platform. + cepted into the NLTK library nowadays? On the It authored 98 per cent of the pages de- + Github page, the NLTK team describes the following scribing US towns. + requirements: + As a result of serial and topical robot interven- + - Only contribute corpora that have obtained a ba- tions, the models that are trained on the full + sic level of notability. That means, there is a Wikipedia dump have a unique view on composing ar- +publication that describes it, and a community of ticles. For example, a topic model trained on all +programmers who are using it. of Wikipedia articles will associate 'river' with +- Ensure that you have permission to redistribute 'Romania' and 'village' with 'Turkey'. This is be- + the data, and can document this. This means that cause there are over 10000 pages written about + the dataset is best published on an external web- villages in Turkey. This should be enough to spark + site with a licence. anyone's desire for a visit, but it is far too + - Use existing NLTK corpus readers where possible, much compared to the number of articles other + or else contribute a well-documented corpus reader countries have on the subject. The asymmetry + to NLTK. This means, you need to organize your causes a false correlation and needs to be re- + data in such a way that it can be easily read us- dressed. Most models try to exclude the work of + ing NLTK code. these prolific robot writers. + + Reference +--- Extract from a positive IMDb https://blog.lateral.io/2015/06/the-unknown- + movie review from the NLTK dataset --- perils-of-mining-wikipedia/ + + corpus: NLTK, movie reviews + + fileid: pos/cv998_14111.txt + + steven spielberg ' s second epic film on world war + ii is an unquestioned masterpiece of film . spiel- + berg , ever the student on film , has managed to + resurrect the war genre by producing one of its + grittiest , and most powerful entries . he also + managed to cast this era ' s greatest answer to + jimmy stewart , tom hanks , who delivers a perfor- +mance that is nothing short of an astonishing mir- +acle . for about 160 out of its 170 minutes , " +saving private ryan " is flawless . literally . + the plot is simple enough . after the epic d - day + invasion ( whose sequences are nothing short of + spectacular ) , capt . john miller ( hanks ) and + his team are forced to search for a pvt . james + ryan ( damon ) , whose brothers have all died in + battle . once they find him , they are to bring + him back for immediate discharge so that he can go + home . accompanying miller are his crew , played + with astonishing perfection by a group of charac- + ter actors that are simply sensational . barry + pepper , adam goldberg , vin diesel , giovanni +ribisi , davies , and burns are the team sent to +find one man , and bring him home . the battle se- +quences that bookend the film are extraordinary . + literally . + + + --- The ouroboros of machine learning --- + + Wikipedia has become a source for learning not + only for humans, but also for machines. Its arti- + cles are prime sources for training models. But + very often, the material the machines are trained + on is the same content that they helped to write. + + 33 +0 12 3 4 5 67 8 9 0 + 12 3 4 5 67 8 9 0 12 + 3 4 5 67 8 9 0 1 2 + 3 4 5 6 7 8 9 0 1 2 3 + 4 56 7 8 9 01 2 3 + 4 56 7 8 9 01 2 3 + 4 56 7 8 9 01 2 3 + 4 56 7 8 9 0 1 2 3 4 + 5 6 7 8 9 0 1 2 3 45 6 + 7 8 90 1 2 3 45 6 + 7 8 90 1 2 3 45 6 + 7 8 90 1 2 3 4 5 6 + 7 8 9 0 1 2 3 4 5 6 + 7 89 0 1 2 34 5 6 + 7 89 0 1 2 34 5 6 + 7 89 0 1 2 34 5 6 7 +89 0 1 2 3 4 5 6 7 8 9 + 0 1 2 3 4 5 6 78 9 + 0 1 23 4 5 6 78 9 0 + 1 23 4 5 6 78 9 0 + 1 23 4 5 6 78 9 0 + 1 2 3 4 5 6 7 8 9 0 + 1 2 3 4 5 67 8 9 0 12 + 3 4 5 67 8 9 0 12 + 3 4 5 67 8 9 0 12 3 + 4 5 6 7 8 9 0 1 2 3 + 4 5 6 7 8 9 01 2 3 + 4 56 7 8 9 01 2 3 + 4 56 7 8 9 01 2 3 + 4 56 7 8 9 01 2 3 4 + 5 6 7 8 9 0 1 2 3 4 5 6 + 7 8 90 1 2 3 45 6 + 7 8 90 1 2 3 45 6 + 7 8 90 1 2 3 45 6 + 7 8 90 1 2 3 4 5 6 7 + 8 9 0 1 2 3 4 5 6 7 + 89 0 1 2 34 5 6 7 +89 0 1 2 34 5 6 7 89 + 0 1 2 34 5 6 7 8 9 + 0 1 2 3 4 5 6 7 8 9 +0 1 23 4 5 6 78 9 0 + 1 23 4 5 6 78 9 0 + 1 23 4 5 6 78 9 0 + 1 23 4 5 6 7 8 9 0 + 1 2 3 4 5 6 7 8 9 0 12 3 + 4 5 67 8 9 0 12 3 + 4 5 67 8 9 0 12 3 + 4 5 67 8 9 0 12 3 + 4 5 6 7 8 9 0 1 2 3 + 4 5 6 7 8 9 01 2 3 4 + 56 7 8 9 01 2 3 4 + 56 7 8 9 01 2 3 4 5 +6 7 8 9 0 1 2 3 4 5 6 + 7 8 9 0 1 2 3 45 6 + 7 8 90 1 2 3 45 6 + 7 8 90 1 2 3 45 6 +7 8 90 1 2 3 45 6 7 + 8 9 0 1 2 3 4 5 6 7 + 8 9 0 1 2 34 5 6 7 89 + 0 1 2 34 5 6 7 89 0 + 1 2 34 5 6 7 89 0 + 1 2 34 5 6 7 8 9 0 + 1 2 3 4 5 6 7 8 9 0 + 1 23 4 5 6 78 9 0 + 1 23 4 5 6 78 9 0 + 1 23 4 5 6 78 9 0 1 + 2 3 4 5 6 7 8 9 0 1 2 3 + 4 5 67 8 9 0 12 3 + 4 5 67 8 9 0 12 3 + 34 +readers read readers read readers read readers read readers read readers read readers re +d readers read readers read readers read readers read readers re +d readers read readers read readers read readers read + readers read readers read readers read re +ders read readers read readers read readers re +d readers read readers read readers r +ad readers read readers read +readers read readers read readers read + readers read readers read +readers read readers read readers read + readers read readers read + readers read readers read + readers read readers read + readers read readers read + readers read readers read + readers read readers read + readers read readers +read readers read + readers read readers read + readers read readers read + readers read + readers read readers read + readers read + readers read readers read + readers read + readers read readers read + readers read + readers read readers re +d readers read + readers read + readers read readers read + readers read + readers read + readers read re +ders read readers read + readers read + readers read + readers read + readers read readers r +ad readers read + readers read + readers read + readers read + readers read + readers read + readers read +readers read readers +read readers read + readers read + readers read + readers read + readers read + readers read + readers read + readers read + readers read + readers read + readers read + readers read + readers read + readers read + readers read + readers read + readers read + readers read + readers read + readers read + readers read + readers read r + 35 + h a o e f rtlt9 b9r+t +-+-+-+-+-+-+-+ n +-+-+-+-+ aM B 6 r fwea5I s s ,e -h e e + m et u t w8 8+ i4 + R w e |r|e|a|d|e|r|s| f |r|e|a|d| C a r_ n b - i1 a s- noh6M+ pha + h a% 8 e olt r_ m c hb8 b +-+-+-+-+-+-+-+ mi +-+-+-+-+ pli f ro u n ae 3aee d oo| 3h 6o +2 ce 'd | 8 eA s d8 - i 6 1 %6 sr2 9 g2 a s lia wrc 3 ?7 i n3+7m s + c htiuw :ead 7 _ 9r t i d 5 sau4nl |e_ ar 8orl t h h+se a s _o1 s56 ka5n1e no hd + d m u 's +e | h64t +-+ +-+-+-+-+-+-+-+-+ o +-+-+-+-+-+-+-+-+-+-+-+ enl o 3 t d Ad- 2 ahs + g o i 0 _ 5o ss x 4 |a| |c|o|m|p|u|t|e|r| sl |u|n|d|e|r|s|t|a|n|d|s| 4i 8 trdiM 48 i5 2 9 + tl e ri 6 9 ln a /8e +-+ +-+-+-+-+-+-+-+-+ 6 x +-+-+-+-+-+-+-+-+-+-+-+ 4 \eda o |y A o3 /1 + e _ en l r 7 -sd c o +-+-+-+ +-+-+-+-+-+-+ l +-+-+-+-+-+-+-+-+-+ d6 m7n n a np l4 s + 7 t p e M fdh c as |a|l|l| |m|o|d|e|l|s| Sa |t|r|a|n|s|l|a|t|e| a 6 w da 5 - o4 5 i ) + r l a nn sh fc ui e7 +-+-+-+ +-+-+-+-+-+-+ c a +-+-+-+-+-+-+-+-+-+ ar 9 r , e a 3 , i + 4 r 2 t +-+-+-+-+ +-+-+-+-+-+-+ 72 +-+-+-+-+-+ p r s r a a h an ' 3 a + o p ft n l |s|o|m|e| |m|o|d|e|l|s| |c|o|u|n|t| 8r n| 1 a r h o /oa e 7 + m8 4 wa +-+-+-+-+ +-+-+-+-+-+-+ l 7 +-+-+-+-+-+ 2 or r i 9e 4 p142 ,6r + l 4N i u-3 am +-+-+-+-+ +-+-+-+-+-+-+ 4s +-+-+-+-+-+-+-+ 23 a e rea le dhVo t74 g + j 7 t o e rd |s|o|m|e| |m|o|d|e|l|s| |r|e|p|l|a|c|e| o -i no r + 2 r l i + o 6 7g i tt i +-+-+-+-+ +-+-+-+-+-+-+ 8fa +-+-+-+-+-+-+-+ x7 e g o ee d +ni +d i tr 6k t r 2 3a8 9 i3 5 hv7 ge 5e u - 3y a _ e 2 8 c +55fi1 - 6 :29 t e al+ atp43e + ac t n b t hTsa4ti03 o% % flol 4-e + rf m r 8 6y heta 1 e 1 m6 +t dy p e 9 n ,o 5 / n _ | s e1 + ni d + n 3 leo 5 ti 5 - sc a +1 w uw9 n+ e i m m + 3 a a a 9 \ -8 18 e e l i e h ghc ey9 8 15 3y a 1 -e i 5a i 9r a5pe + o c c % a + 255 t yy m % 4i i 5 i e t _ 7 au l% 7 o +g s8 5 e 2 r 3i 2 1 _ i4ir 2 e l s 1la n s s ht 2 r s i 3 r +u s+ a e m + 6 2n r-l a c6 - t 7 4t +i +r % 8 6 8 r t t r 3 1 +r s 90 k hl a pWn e i5 7 8 a r e4ro e r5wt s m + - h ea 6 2 8 2 v h nf e _ w lr a iai 7 +| j 4 4 f hc i F 9 p s m toG al 6 / h sde l e + a 4 s 6 9 - h o m 6 _l34 . % w7 e 8 e l + n .52- i 7 5 _ r + s 5 p s 5n+ 3 il e 1 o F c +3 l 2 a o en% _. e 4 8lb 3 r a I 9 k o + t r 6 e + 2 6 y oa n i r% f 1 n78 s h F o +e g v 6 u h ad Ua1 2 a t 9 er n t oh7 s s r t g ++ 7 6 h8 t 7 a - m 73| t o e r i 7 +f l ia s _ e u + 7 ct \ a _ 2- 7 . o o - , + t n 0n 4+ f 2r i 9 s y i3 r t r s e a p m h 4 + a c 7 t 9 n n m mro t s i nd e r +a 1 e e | e 1 3 c n k 2 p e o e + 7i s d 6 a 48 c + Dl 1 1 n r - 0 + V r + a o % 7 7 9r 4 | 9 n 7 e + e n | , m n e s s 1 e n 5 +5 r 4 o 5 1 6 e - 2 a -r _ e s’1 e S i +t 2 +|ee s e c n an i e + a4 9 9 o p _ t 7 h v 9 0 +d % a e , s nr 9 l W h a e t | + + s + a 3 7I a e tk K y3e 2 c - a h o u e d + \+ o 1 h r d t e nl 4 k 9 07 o t v 7s + , n e % _x | i t b1 r h ei + t a8 e o n t 12 o rs a y + i e + n a | a 9 \ + n sr - e 3 i r- 8o e i +6 f i 3 ht a l | h 1 o + a s df m5 i h n i 9n ,u + d c n H s o l c i 5 + o | s m rl 9 1 n c _i e + i + i nr 8 h % t a % t 0 m + i 6 c6 wt a r + g s pr l t a 5 | c i | + e 1 sr/ n e 7 e 9 n t w e c ' + m c - o % n . a 3 + f1 c I u 9 + t + 2 . , 4 na P e e f 2 + n i t 1S f n n a i e + r + e i h 9 _ v + 3 | h e t s a + s E l v - p u 1 h 2 , ' 5 + | + nse t a % 8 e w + o p n y o s o + + 36 + V V V V V V % V V % % % %% % % % % %% % % %% + V V V V V V V V V V V V V V V V % % % 0 0 % % % % 0 %% % %%% % % %%% % +V V V V V V V V V % 0 0 %% % % 0 0 % % 0 % + % % %% % % 0 _____ _ % ___ % _ % __ % % + % % % % /__ \ |__ % ___ / __\ ___ ___ | | __ ___ / _| % + % % READERS % / /\/ '_ \ / _ \ /__\/// _ \ / _ \| |/ / / _ \| |_ % + % % / / | | | | __/ / \/ \ (_) | (_) | < | (_) | _| % + % % \/ |_| |_|\___| \_____/\___/ \___/|_|\_\ \___/|_| + V % V V V V V V V % % _____ 0 % 0 _ + V V V V V V V V V V V V V V V V % /__ \___ _ __ ___ ___ _ __ _ __ _____ __ (_)_ __ +V V V V V V V V V / /\/ _ \| '_ ` _ \ / _ \| '__| '__/ _ \ \ /\ / / | | '_ \ + V % V V V V V V V / / | (_) | | | | | | (_) | | | | | (_) \ V V / | | | | | + V V V V V V V V V V V V V V V V \/ \___/|_| |_| |_|\___/|_| |_| \___/ \_/\_/ |_|_| |_| % +V V % V V V V V V V 0 0 ___ % 0 0 __ + % % 0 __ _ 0 / __\ __ _ __ _ ___ / _| % +We communicate with computers 0 0 / _` | /__\/// _` |/ _` | / _ \| |_ 0 +through language. We click on icons | (_| | / \/ \ (_| | (_| | | (_) | _| % +that have a description in words, 0 \__,_| \_____/\__,_|\__, | \___/|_| +we tap words on keyboards, use our 0 00 |___/ % +voice to give them instructions. 0 / / /\ \ \___ _ __ __| |___ 0 % % +Sometimes we trust our computer % % \ \/ \/ / _ \| '__/ _` / __| 0 +with our most intimate thoughts and 0 0 \ /\ / (_) | | | (_| \__ \ 0 % +forget that they are extensive cal- % \/ \/ \___/|_| \__,_|___/ 0 % +culators. A computer understands +every word as a combination of ze- 0 0 0 +ros and ones. A letter is read as a by Algolit % % +specific ASCII number: capital 'A' +is 001. The bag-of-words model is a simplifying representation of text + used in Natural Language Processing (NLP). In this model, a text +In all models, rule-based, classi- is represented as a collection of its unique words, disregarding +cal machine learning, and neural grammar, punctuation and even word order. The model transforms +networks, words undergo some type the text into a list of words and how many times they're used in +of translation into numbers in or- the text, or quite literally a bag of words. +der to understand the semantic +meaning of language. This is done This heavy reduction of language was the big shock when beginning +through counting. Some models count to machine learn. Bag of words is often used as a baseline, on +the frequency of single words, some which the new model has to perform better. It can understand the +might count the frequency of combi- subject of a text by recognizing the most frequent or important +nations of words, some count the words. It is often used to measure the similarities of texts by +frequency of nouns, adjectives, comparing their bags of words. +verbs or noun and verb phrases. +Some just replace the words in a For this work the article 'Le Livre de Demain' by engineer G. +text by their index numbers. Num- Vander Haeghen, published in 1907 in the Bulletin de l'Institut +bers optimize the operative speed International de Bibliographie of the Mundaneum, has been liter- +of computer processes, leading to ally reduced to a bag of words. You can buy a bag at the recep- +fast predictions, but they also re- tion of Mundaneum. +move the symbolic links that words +might have. Here we present a few --- +techniques that are dedicated to +making text readable to a machine. Concept & realisation: An Mertens + % + + 0 00 + 0 0 0 + 0 _____ ___ _____ ___ ___ + 0 0 /__ \/ __\ \_ \/ \/ __\ + 0 0 / /\/ _\____ / /\/ /\ / _\ + 0 00 / / / /|_____/\/ /_/ /_// / + \/ \/ \____/___,'\/ + 0 + + by Algolit + + The TF-IDF (Term Frequency-Inverse Document Frequency) is a + weighting method used in text search. This statistical measure + makes it possible to evaluate the importance of a term contained + in a document, relative to a collection or corpus of documents. + The weight increases in proportion to the number of occurrences + + 37 + %% % % % %% %% of the word in the document. It also varies according to the fre- + % % % % % quency of the word in the corpus. The TF-IDF is used in particu- + % % % % %% lar in the classification of spam in email softwares. % + % % % % % % % % % + % % % % A web-based interface shows this algorithm through animations % + % making it possible to understand the different steps of text % + % % % classification. How does a TF-IDF-based programme read a text? % + % How does it transform words into numbers? % % % + % % % % % + % --- % % + % % % + % Concept, code, animation: Sarah Garcin % + % % % + % % % + 0 0 % % + % 0 0 % + 0 ___ 0 _ 0 0 + 0 / _ \_ __ _____ _(_)_ __ __ _ __ _ + 0 / /_\/ '__/ _ \ \ /\ / / | '_ \ / _` | / _` | + 0 / /_\\| | | (_) \ V V /| | | | | (_| | | (_| | + 0 \____/|_| \___/ \_/\_/ |_|_| |_|\__, | \__,_| + 0 0 0 |___/ 0 + 0 0 0 _ 0 % + % | |_ _ __ ___ ___ + % 0 0 | __| '__/ _ \/ _ \ % + % 0 | |_| | | __/ __/ + 0 0 0 \__|_| \___|\___| + % + + by Algolit % + % % + % % Parts-of-Speech is a category of words that we learn at school: + % noun, verb, adjective, adverb, pronoun, preposition, conjunction, + % interjection, and sometimes numeral, article, or determiner. % + + In Natural Language Processing (NLP) there exist many writings + that allow sentences to be parsed. This means that the algorithm + can determine the part-of-speech of each word in a sentence. + 'Growing a tree' uses this technique to define all nouns in a + specific sentence. Each noun is then replaced by its definition. + This allows the sentence to grow autonomously and infinitely. + The recipe of 'Growing a tree' was inspired by Oulipo's constraint + of 'littérature définitionnelle' invented by Marcel Benabou in + 1966. In a given phrase, one replaces every significant element + (noun, adjective, verb, adverb) by one of its definitions in a + given dictionary; one reiterates the operation on the newly + received phrase, and again. + + The dictionary of definitions used in this work is Wordnet. Word- + net is a combination of a dictionary and a thesaurus that can be + read by machines. According to Wikipedia it was created in the + Cognitive Science Laboratory of Princeton University starting in + 1985. The project was initially funded by the US Office of Naval + Research and later also by other US government agencies including + DARPA, the National Science Foundation, the Disruptive Technology + Office (formerly the Advanced Research and Development Activity), + and REFLEX. + + --- + + Concept, code & interface: An Mertens & Gijs de Heij + + + + + + + + + 38 + % % %% % %% % % %% _ _ % % % _ _ _ %% % % _ %%% % % % + %% /_\ | | __ _ ___ _ __(_) |_| |__ _ __ ___ (_) ___ % + %% 0 //_\\| |/ _` |/ _ \| '__| | __| '_ \| '_ ` _ \| |/ __| % % + % % % % / _ \ | (_| | (_) | | | | |_| | | | | | | | | | (__ % + % % % % % % \_/ \_/_|\__, |\___/|_| |_|\__|_| |_|_| |_| |_|_|\___| % % + % %% % % % |___/ % 0 _ _ %% % % 00 % __ %% + % % % _ __ ___ __ _ __| (_)_ __ __ _ ___ ___ / _| %% % + % % % | '__/ _ \/ _` |/ _` | | '_ \ / _` / __| / _ \| |_ % + % % | | | __/ (_| | (_| | | | | | (_| \__ \ | (_) | _| % % + |_| \___|\__,_|\__,_|_|_| |_|\__, |___/ \___/|_| + % % 0 % ___ 0 _ _ 0 _|___/ 0 %_ 0 % + % / __\ ___ _ __| |_(_) | | ___ _ __( )__ % + % % 0 /__\/// _ \ '__| __| | | |/ _ \| '_ \/ __| %% + / \/ \ __/ | | |_| | | | (_) | | | \__ \ % + % 0 0 \_____/\___|_| \__|_|_|_|\___/|_| |_|___/ + % % 0 _ _ _ 0 + % % % _ __ 0 ___ _ __| |_ _ __ __ _(_) |_ % + % % % | '_ \ / _ \| '__| __| '__/ _` | | __| 0 + % 00 | |_) | (_) | | | |_| | | (_| | | |_ + % | .__/ \___/|_| \__|_| \__,_|_|\__| % + |_| 0 _ __ + 0 _ __ __ _ _ __| | _/_/ + 0 0 | '_ \ / _` | '__| |/ _ \ 0 + 0 | |_) | (_| | | | | __/ 0 + 0 | .__/ \__,_|_| |_|\___| + 0 0 |_| + 00 0 0 0 0 00 + + % by Guillaume Slizewicz (Urban Species) + % % % + Written in 1907, Un code télégraphique du portrait parlé is an + attempt to translate the 'spoken portrait', a face-description + technique created by a policeman in Paris, into numbers. By im- + plementing this code, it was hoped that faces of criminals and + fugitives could easily be communicated over the telegraphic net- + % work in between countries. In its form, content and ambition this + text represents our complicated relationship with documentation + % technologies. This text sparked the creation of the following in- + % stallations for three reasons: % + + - First, the text is an algorithm in itself, a compression algo- + rithm, or to be more precise, the presentation of a compression + % algorithm. It tries to reduce the information to smaller pieces + while keeping it legible for the person who has the code. In this + % regard it is linked to the way we create technology, our pursuit + for more efficiency, quicker results, cheaper methods. It repre- + sents our appetite for putting numbers on the entire world, mea- + suring the smallest things, labeling the tiniest differences. + This text itself embodies the vision of the Mundaneum. + + - Second it is about the reasons for and the applications of + technology. It is almost ironic that this text was in the se- + lected archives presented to us in a time when face recognition + and data surveillance are so much in the news. This text bears + the same characteristics as some of today's technology: motivated + by social control, classifying people, laying the basis for a + surveillance society. Facial features are at the heart of recent + controversies: mugshots were standardized by Bertillon, now they + are used to train neural network to predict criminals from law- + abiding citizens. Facial recognition systems allow the arrest of + criminals via CCTV infrastructure and some assert that people’s + features can predict sexual orientation. + + - The last point is about how it represents the evolution of + mankind’s techno-structure. What our tools allow us to do, what + they forbid, what they hinder, what they make us remember and + what they make us forget. This document enables a classification + between people and a certain vision of what normality is. It + + 39 + breaks the continuum into pieces thus allowing stigmatiza- + tion/discrimination. On the other hand this document also feels + %% %% % %% %% % obsolete today, because our techno-structure does not need such + % %% % % % detailed written descriptions about fugitives, criminals or citi- % + % %% % % % % % % zens. We can now find fingerprints, iris scans or DNA info in % + % % % % % % % % % % large datasets and compare them directly. Sometimes the techno- % + % % % % logical systems do not even need human supervision and recognize + % % % %% % % directly the identity of a person via their facial features or % % + % their gait. Computers do not use intricate written language to + describe a face, but arrays of integers. Hence all the words used + % in this documents seem désuets, dated. Have we forgotten what % + some of them mean? Did photography make us forget how to describe + % faces? Will voice-assistance software teach us again? + % + Writing with Otlet + % % + % % Writing with Otlet is a character generator that uses the spoken % + % portrait code as its database. Random numbers are generated and + % translated into a set of features. By creating unique instances, + % the algorithm reveals the richness of the description that is + possible with the portrait code while at the same time embodying + its nuances. + % + An interpretation of Bertillon's spoken portrait. %% + + % This work draws a parallel between Bertillon systems and current + ones. A webcam linked to a facial recognition algorithm captures % + the beholder's face and translates it into numbers on a canvas, + % printing it alongside Bertillon's labelled faces. + % % + References + https://www.technologyreview.com/s/602955/neural-network-learns- + to-identify-criminals-by-their-faces/ + + https://fr.wikipedia.org/wiki/Bertillonnage + + https://callingbullshit.org/case_studies/case_study_criminal_ + machine_learning.html + % % + % + % % 0 0 0 0 % + 0 0 0 + /\ /\__ _ _ __ __ _ _ __ ___ __ _ _ __ + 0 / /_/ / _` | '_ \ / _` | '_ ` _ \ / _` | '_ \ + / __ / (_| | | | | (_| | | | | | | (_| | | | | + \/ /_/ \__,_|_| |_|\__, |_| |_| |_|\__,_|_| |_| + 0 0 |___/ 0 0 + % 0 0 0 0 0 % + % + by Laetitia Trozzi, student Arts²/Section Digital Arts + + What better way to discover Paul Otlet and his passion for liter- + ature than to play hangman? Through this simple game, which con- + sists in guessing the missing letters in a word, the goal is to + make the public discover terms and facts related to one of the + creators of the Mundaneum. + % + Hangman uses an algorithm to detect the frequency of words in a + text. Next, a series of significant words were isolated in Paul + Otlet's bibliography. This series of words is integrated into a + hangman game presented in a terminal. The difficulty of the game + gradually increases as the player is offered longer and longer + words. Over the different game levels, information about the life + and work of Paul Otlet is displayed. + + % + + + + 40 + CONTEXTUAL STORIES + ABOUT READERS + + + + Naive Bayes, Support Vector Machines and Linear ter trigram. All the overlapping sequences of + Regression are called classical machine learning three characters are isolated. For example, the + algorithms. They perform well when learning with character 3-grams of 'Suicide', would be, ‘Sui’, + small datasets. But they often require complex ‘uic’, ‘ici’, ‘cid’, etc. Character n-gram fea- + Readers. The task the Readers do, is also called tures are very simple, they're language-indepen- + feature-engineering. This means that a human needs dent and they're tolerant to noise. Furthermore, + to spend time on a deep exploratory data analysis spelling mistakes do not jeopardize the technique. +of the dataset. + Patterns found with character n-grams focus on +Features can be the frequency of words or letters, stylistic choices that are unconsciously made by + but also syntactical elements like nouns, adjec- the author. The patterns remain stable over the + tives, or verbs. The most significant features for full length of the text, which is important for + the task to be solved, must be carefully selected authorship recognition. Other types of experiments + and passed over to the classical machine learning could include measuring the length of words or + algorithm. This process marks the difference with sentences, the vocabulary richness, the frequen- + Neural Networks. When using a neural network, cies of function words; even syntax or semantics- + there is no need for feature-engineering. Humans related measurements. + can pass the data directly to the network and + achieve fairly good performances straightaway. This means that not only your physical fingerprint + This saves a lot of time, energy and money. is unique, but also the way you compose your + thoughts! The same n-gram technique discovered that +The downside of collaborating with Neural Networks The Cuckoo’s Calling, a novel by Robert Galbraith, +is that you need a lot more data to train your was actually written by … J. K. Rowling! +prediction model. Think of 1GB or more of plain + text files. To give you a reference, 1 A4, a text Reference + file of 5000 characters only weighs 5 KB. You Paper: On the Robustness of Authorship Attribu- + would need 8,589,934 pages. More data also re- tion Based on Character N-gram Features, Efs- + quires more access to useful datasets and more, tathios Stamatatos, in Journal of Law & Policy, + much more processing power. Volume 21, Issue 2, 2013. + + News article: https://www.scientificamerican.com + --- Character n-gram for /article/how-a-computer-program-helped-show-jk- + authorship recognition --- rowling-write-a-cuckoos-calling/ + + Imagine … You've been working for a company for +more than ten years. You have been writing tons of --- A history of n-grams --- +emails, papers, internal notes and reports on very +different topics and in very different genres. All The n-gram algorithm can be traced back to the + your writings, as well as those of your col- work of Claude Shannon in information theory. In + leagues, are safely backed-up on the servers of the paper, 'A Mathematical Theory of Communica- + the company. tion', published in 1948, Shannon performed the + first instance of an n-gram-based model for natu- + One day, you fall in love with a colleague. After ral language. He posed the question: given a se- + some time you realize this human is rather mad and quence of letters, what is the likelihood of the + hysterical and also very dependent on you. The day next letter? + you decide to break up, your (now) ex elaborates a + plan to kill you. They succeed. This is unfortu- If you read the following excerpt, can you tell + nate. A suicide letter in your name is left next who it was written by? Shakespeare or an n-gram + to your corpse. Because of emotional problems, it piece of code? +says, you decided to end your life. Your best +friends don't believe it. They decide to take the SEBASTIAN: Do I stand till the break off. +case to court. And there, based on the texts you + and others produced over ten years, a machine BIRON: Hide thy head. + learning model reveals that the suicide letter was + written by someone else. VENTIDIUS: He purposeth to Athens: whither, with + the vow + How does a machine analyse texts in order to iden- I made to handle you. + tify you? The most robust feature for authorship + recognition is delivered by the character n-gram FALSTAFF: My good knave. + technique. It is used in cases with a variety of + thematics and genres of the writing. When using You may have guessed, considering the topic of + character n-grams, texts are considered as se- this story, that an n-gram algorithm generated + quences of characters. Let's consider the charac- this text. The model is trained on the compiled + + 41 + + + + + works of Shakespeare. While more recent algo- press, traders sell. On the contrary, if the news + rithms, such as the recursive neural networks of is good, they buy. + the CharNN, are becoming famous for their perfor- + mance, n-grams still execute a lot of NLP tasks. A paper by Haikuan Liu of the Australian National + They are used in statistical machine translation, University states that the tense of verbs used in + speech recognition, spelling correction, entity tweets can be an indicator of the frequency of fi- + detection, information extraction, ... nancial transactions. His idea is based on the + fact that verb conjugation is used in psychology + to detect the early stages of human depression. + --- God in Google Books --- + Reference +In 2006, Google created a dataset of n-grams from Paper: 'Grammatical Feature Extraction and Analy- +their digitized book collection and released it sis of Tweet Text: An Application towards Pre- +online. Recently they also created an n-gram dicting Stock Trends', Haikuan Liu, Research + viewer. School of Computer Science (RSCS), College of + Engineering and Computer Science (CECS), + This allowed for many socio-linguistic investiga- The Australian National University (ANU) + tions. For example, in October 2018, the New York + Times Magazine published an opinion article titled + 'It’s Getting Harder to Talk About God'. The au- --- Bag of words --- + thor, Jonathan Merritt, had analysed the mention + of the word 'God' in Google's dataset using the In Natural Language Processing (NLP), 'bag of + n-gram viewer. He concluded that there had been words' is considered to be an unsophisticated mod- + a decline in the word's usage since the twentieth el. It strips text of its context and dismantles + century. Google's corpus contains texts from the it into a collection of unique words. These words +sixteenth century leading up to the twenty-first. are then counted. In the previous sentences, for +However, what the author missed out on was the example, 'words' is mentioned three times, but +growing popularity of scientific journals around this is not necessarily an indicator of the text's + the beginning of the twentieth century. This new focus. + genre that was not mentioning the word God shifted + the dataset. If the scientific literature was The first appearance of the expression 'bag of + taken out of the corpus, the frequency of the word words' seems to go back to 1954. Zellig Harris, + 'God' would again flow like a gentle ripple from an influential linguist, published a paper called + a distant wave. 'Distributional Structure'. In the section called + 'Meaning as a function of distribution', he says + 'for language is not merely a bag of words but a + --- Grammatical features taken from tool with particular properties which have been + Twitter influence the stock market --- fashioned in the course of its use. The linguist's + work is precisely to discover these properties, +The boundaries between academic disciplines are whether for descriptive analysis or for the synthesis +becoming blurred. Economics research mixed with of quasi-linguistic systems.' +psychology, social science, cognitive and emo- + tional concepts have given rise to a new economics + subfield, called 'behavioral economics'. This + means that researchers can start to explain stock + market mouvement based on factors other than eco- + nomic factors only. Both the economy and 'public + opinion' can influence or be influenced by each + other. A lot of research is being done on how to + use 'public opinion' to predict tendencies in + stock-price changes. + + 'Public opinion' is estimated from sources of +large amounts of public data, like tweets, blogs +or online news. Research using machinic data anal- +ysis shows that the changes in stock prices can be + predicted by looking at 'public opinion', to some + degree. There are many scientific articles online, + which analyse the press on the 'sentiment' ex- + pressed in them. An article can be marked as more + or less positive or negative. The annotated press + articles are then used to train a machine learning + model, which predicts stock market trends, marking + them as 'down' or 'up'. When a company gets bad + + 42 +learners learn learners learn learners learn learners learn learners learn learners learn + learners learn learners learn learners learn learners learn learners learn + learners learn learners learn learners learn learners learn + learners learn learners learn learners learn + learners learn learners learn learners learn lea +ners learn learners learn learners learn +learners learn learners learn learners learn + learners learn learners learn learners +earn learners learn learners learn + learners learn learners learn + learners learn learners learn lea +ners learn learners learn learners +learn learners learn learners +earn learners learn learne +s learn learners learn +learners learn learners learn + learners learn learners learn + learners learn learners learn + learners learn + learners learn learners learn + learners learn learners learn + learners learn + learners learn learners learn + learners learn + learners learn learners learn + learners learn + learners learn learners +learn learners learn + learners learn + learners learn learners learn + learners learn + learners learn + learners learn learners +learn learners learn + learners learn + learners learn + learners learn lea +ners learn learners learn + learners learn + learners learn + learners learn + learners learn + learners learn + learners learn learners +earn learners learn + learners learn + learners learn + learners learn + learners learn + learners learn + learners learn + learners learn + learners learn + learners learn + learners learn + learners learn + learners learn + learners learn + learners learn + learners learn + learners learn + learners learn + learners learn + learners learn + learners learn + learners learn + learners learn + learners learn + learners learn + 43 + 4n r- ro %r5 l e +-+-+-+-+-+-+-+-+ f +-+-+-+-+-+ m 9-e p + st2- a , _ nr2 + l itr9 op 2c b ue |l|e|a|r|n|e|r|s| , y |l|e|a|r|n| ) g- 9 c w 1 atn_wn o_ c| + c o b op , +_7 -x a 9acl +-+-+-+-+-+-+-+-+ hc +-+-+-+-+-+ 34 u a 9a l |an t p 9 - +|\ _ l6el , 7 3 u r1 3 8dl a. m s T rv t ro|lm ni3 4 V3 as1to 4 e hp +5_s -o 4 d o9n t 0 t V i5n _ i, _ iu9 l + t t 6t s r s exe4eh l 4 + ri _g d s es c s a 4s i+ i _ +-+-+-+-+-+-+-+-+ +-+-+-+ +-+-+-+-+-+-+-+ e l4 f k 5l l wu |f + ete V o I- 4e |l|e|a|r|n|e|r|s| 6 e |a|r|e| |p|a|t|t|e|r|n| st 62 t a ne e 2 ? + .n l 1 ntb 5 d9 +-+-+-+-+-+-+-+-+ e e1 +-+-+-+ +-+-+-+-+-+-+-+ ia 5 n i w er8 + er 1 t i 9 te9 n r7 | t ie m +-+-+-+-+-+-+-+ n s 1 i- e i X c w a + 4 _c4 c s+ m t eh h.5 t a i t m p3 a e |f|i|n|d|e|r|s| , ll 6a e e7ifo- +cs te s- + h 5 8 m wl c tl u w2 +-+-+-+-+-+-+-+ 8 r s oe t % 8- 1 tl3o 4 + n r a t t 3a 9 +-+-+-+-+-+-+-+-+ 5i9 +-+-+-+ +-+-+-+-+-+-+-+-+ l s 9 | 9a e 0sbntaf + m(um8 j ra e +t o |l|e|a|r|n|e|r|s| |a|r|e| |c|r|a|w|l|i|n|g| n n ei pte7i r 6ms + t s G_ el i + ka e . +-+-+-+-+-+-+-+-+ +-+-+-+ +-+-+-+-+-+-+-+-+ ,/s u r r 4 1 i h + d heeo 2eei m g r ao a ah( 9a u m9 V e +-+-+-+-+-+-+-+ +-+-+-+-+ nae T-e r s-i5 7n + gt r_ y e io 96 e e s d |T trig - l |t|h|r|o|u|g|h| |d|a|t|a| 7s e1s77 87 2 fw m c + 9d. 2 _ e 2nnm 96 n a t7- c d, o e +-+-+-+-+-+-+-+ +-+-+-+-+ 6 r n rbhi e 5 s n d + / _ 2r s f a ef +-+-+-+-+-+-+-+-+ +-+-+-+-+-+-+-+-+ +-+-+-+-+ +-+-+-+-+ h asn _ + t5 w w p l n | a -s |l|e|a|r|n|e|r|s| e |g|e|n|e|r|a|t|e| |s|o|m|e| |k|i|n|d| u s s + ie im i i 7 t 4 +-+-+-+-+-+-+-+-+ r +-+-+-+-+-+-+-+-+ +-+-+-+-+ +-+-+-+-+ u t nr+ a + c 7 t s x 4 da n 7 Fd e c & +-+-+ +-+-+-+-+-+-+-+-+ raa o c5 ' e ro. + k1 n t re 8 n et 9 1 l r 0V |o|f| |s|p|e|c|i|f|i|c| a t9 s c rv v s l + n_fa r% a Z a 5 w me m n 5 1s n +-+-+ +-+-+-+-+-+-+-+-+ t S 1 o a r d rb + y 7 r c o ge D _ns v / b +-+-+-+-+-+-+-+-+-+ 8 4- i o 9 t e + i 4 9 9t6 9- é2 o p| o v i |'|g|r|a|m|m|a|r|'| n p t p 8sn _ l 8 + nt 2pc t V4 e ha e 3 1 , n 2 i o +-+-+-+-+-+-+-+-+-+ %4 r 8 1 1 t e + e 8 rn d +-+-+-+-+-+-+-+-+-+-+-+ i +-+-+-+-+-+-+-+-+-+ +-+-+-+-+-+-+-+-+ u t + e e e e r F |c|l|a|s|s|i|f|i|e|r|s| %f |g|e|n|e|r|a|t|e|,| |e|v|a|l|u|a|t|e| 1 h V0 t n + nh % c 5 h r +-+-+-+-+-+-+-+-+-+-+-+ ti +-+-+-+-+-+-+-+-+-+ +-+-+-+-+-+-+-+-+ Ul n m , + - n 2 ab m 3 o- r e 6| n +-+-+-+ +-+-+-+-+-+-+-+-+ 6 + oe / + l t i u + u t l i 7 ei |a|n|d| |r|e|a|d|j|u|s|t| 5 r f l f5 % + n 2 s e m a m e d1 m uh c +-+-+-+ +-+-+-+-+-+-+-+-+ n s g o _ + e d c ps +-+-+-+-+-+-+-+-+ +-+-+-+-+-+-+-+-+-+-+ +-+-+-+ + a D y5 8r + +1n o h |l|e|a|r|n|e|r|s| |u|n|d|e|r|s|t|a|n|d| |a|n|d| k4t tr t m + u a t +-+-+-+-+-+-+-+-+ +-+-+-+-+-+-+-+-+-+-+ +-+-+-+ a 3 i 3 t + 2 r 7 n n 9 r r. t p i +-+-+-+-+-+-+ +-+-+-+-+-+-+-+-+ -- c + g + l t v c i 8 f as |r|e|v|e|a|l| |p|a|t|t|e|r|n|s| a _ n + 4 s l 5 2 + f s - l +-+-+-+-+-+-+ +-+-+-+-+-+-+-+-+ 4 - e + y + h -_ 7 +-+-+-+-+-+-+-+-+ +-+-+-+-+-+ +-+-+-+-+-+-+ o . - i e + i e l t e _ V n |l|e|a|r|n|e|r|s| |d|o|n|'|t| |a|l|w|a|y|s| 4b ,i + _ % rt h e ,a +-+-+-+-+-+-+-+-+ +-+-+-+-+-+ +-+-+-+-+-+-+ a _ h _ + 2 V o 5 t +-+-+-+-+-+-+-+-+-+-+-+-+ +-+-+-+-+ _ s + c % po + h o3 mi5 8 |d|i|s|t|u|i|n|g|u|i|s|h| |w|e|l|l| w 7 _nn + , ha u pk +-+-+-+-+-+-+-+-+-+-+-+-+ +-+-+-+-+ 91s 6 a + s hp I 3 % +-+-+-+-+-+ +-+-+-+-+-+-+-+-+ i 8 + v o 6 o r s |w|h|i|c|h| |p|a|t|t|e|r|n|s| s_ oge e + n a + e o e 3 n 7 +-+-+-+-+-+ +-+-+-+-+-+-+-+-+ o 6 + + i l r \ m + a l r +-+-+-+-+-+-+ +-+-+ +-+-+-+-+-+-+-+-+ , n + c a o o o |s|h|o|u|l|d| |b|e| |r|e|p|e|a|t|e|d| eh s i + o tlt t 2 e5 d +-+-+-+-+-+-+ +-+-+ +-+-+-+-+-+-+-+-+ o s + 7 d 2 5 | n | 1 ey d te a t + r | , + 9 6 % f a i s % + n o+| r u s \ 4 e ep e + ao 2 | f' | e e r 9 7 Td i d e + . t 8m d c l 6 l o i _ t T i - i + n 7 e d 3 p l a n . i l + i i % 8 a + p r l e + 4 % a l + | h 5 | tl d 1mo 7 t N + , t o i 9 o? F W 9 dC %hf + o m 5 t t w , - 3p + a d s e a n t _ o c \ f + + p a r f |el 8 , g i l e e + t e3 - - 9 h c t t +w + | u0 w t + . h 5 a , s + t d _ n V 4 a o + , o t r nt + w e e + + 44 + V V V % V % V % V V % V % % % % % %% % % % % % % % + V V V V V V V V V V V V V V V V % % % 0 % % % %% % % %%% % % +V V V % V V V V V V % % %% 0 0 % % 0 % 00 % % % + % % % % 0 % __ _ 0 % 0 % ___ % 0 0 % + % % % % % % 0 /\ \ \__ _(_)_ 0 _____ / __\ __ _ _ _ ___ ___ % + % % LEARNERS % % / \/ / _` | \ \ / / _ \ /__\/// _` | | | |/ _ \/ __| + % % % % % / /\ / (_| | |\ V / __/ / \/ \ (_| | |_| | __/\__ \ + % % % % \_\ \/ \__,_|_| \_/ \___| \_____/\__,_|\__, |\___||___/ + V V V V V V V V % 0 % % 0 0 % % |___/ + V V V V V V V V V V V V V V V V % __ _ __ _ _ __ ___ ___ 0 % % +V V V V V V V % V V % % / _` |/ _` | '_ ` _ \ / _ \ % + V V V V V V V V 0 0 | (_| | (_| | | | | | | __/ % + V V V V V V V V V V V V V V V V % 0 00 \__, |\__,_|_| |_| |_|\___| 0 % +V V V V V V V V V 0 |___/ 0 + % % 0 0 0 +Learners are the algorithms that +distinguish machine learning prac- by Algolit % % +tices from other types of prac- % +tices. They are pattern finders, In machine learning Naive Bayes methods are simple probabilistic +capable of crawling through data classifiers that are widely applied for spam filtering and decid- +and generating some kind of spe- ing whether a text is positive or negative. +cific 'grammar'. Learners are based +on statistical techniques. Some They require a small amount of training data to estimate the nec- +need a large amount of training essary parameters. They can be extremely fast compared to more +data in order to function, others sophisticated methods. They are difficult to generalize, which +can work with a small annotated means that they perform on specific tasks, demanding to be +set. Some perform well in classifi- % trained with the same style of data that will be used to work +cation tasks, like spam identifica- with afterwards. +tion, others are better at predict- +ing numbers, like temperatures, This game allows you to play along the rules of Naive Bayes. +distances, stock market values, While manually executing the code, you create your own playful +and so on. model that 'just works'. A word of caution is necessary: because + you only train it with 6 sentences – instead of the minimum 2000 +The terminology of machine learn- – it is not representative at all! +ing is not yet fully established. +Depending on the field, whether --- +statistics, computer science or +the humanities, different terms Concept & realisation: An Mertens +are used. Learners are also called +classifiers. When we talk about +Learners, we talk about the inter- % 0 % 0 0 0 % +woven functions that have the ca- 0 0 0 0 0 % +pacity to generate other functions, __ _ 0 +evaluate and readjust them to fit 0 0 / /(_)_ __ ___ __ _ _ __ 0 +the data. They are good at under- / / | | '_ \ / _ \/ _` | '__| +standing and revealing patterns. 0 0 / /__| | | | | __/ (_| | | +But they don't always distinguish 0 \____/_|_| |_|\___|\__,_|_| +well which of the patterns should 0 __ 0 0 _ +be repeated. 0 /__\ ___ __ _ _ __ ___ ___ ___(_) ___ _ __ + / \/// _ \/ _` | '__/ _ \/ __/ __| |/ _ \| '_ \ +In software packages, it is not al- 00 0 / _ \ __/ (_| | | | __/\__ \__ \ | (_) | | | | +ways possible to distinguish the 0 0 \/ \_/\___|\__, |_| \___||___/___/_|\___/|_| |_| +characteristic elements of the 0 0 |___/ 0 +classifiers, because they are hid- 0 0 __ _ __ _ _ __ ___ ___ +den in underlying modules or li- 0 / _` |/ _` | '_ ` _ \ / _ \ +braries. Programmers can invoke | (_| | (_| | | | | | | __/ +them using a single line of code. 0 \__, |\__,_|_| |_| |_|\___| 0 0 % +For this exhibition, we therefore |___/ 00 +developed two table games that show 0 0 0 0 +in detail the learning process of +simple, but frequently used classi- by Algolit +fiers. + Linear Regression is one of the best-known and best-understood + algorithms in statistics and machine learning. It has been around + for almost 200 years. It is an attractive model because the rep- + % resentation is so simple. In statistics, linear regression is a + statistical method that allows to summarize and study relation- + ships between two continuous (quantitative) variables. + + 45 + % % % %% % % By playing this game you will realize that as a player you have a + % % % % lot of decisions to make. You will experience what it means to % + % %% create a coherent dataset, to decide what is in and what is not + % % % % in. If all goes well, you will feel the urge to change your data % + % % in order to obtain better results. This is part of the art of ap- % + %% % % % % % proximation that is at the basis of all machine learning prac- + % % % tices. % % % % % % % % + % % % + % % % % % --- % % + % % % % % % % + Concept & realisation: An Mertens % + % % % % + %% % % + 0 % 0 0 + 00 0 0 0 % 0 0 + 0 _____ _ _ __ 0 _ 0 % + /__ \_ __ __ _(_) |_ _/_/ __| | ___ + / /\/ '__/ _` | | __/ _ \ / _` |/ _ \ + % % 0 / / | | | (_| | | || __/ | (_| | __/ + 00 \/ |_| \__,_|_|\__\___| \__,_|\___| + % % _ 0 00 0 % 0 + % __| | ___ ___ _ _ _ __ ___ ___ _ __ + % / _` |/ _ \ / __| | | | '_ ` _ \ / _ \ '_ \ ____ + % | (_| | (_) | (__| |_| | | | | | | __/ | | |/___/ + \__,_|\___/ \___|\__,_|_| |_| |_|\___|_| |_| + % 0 _ 0 _ _ 0 0 + | |_ __ _| |_(_) ___ _ __ + | __/ _` | __| |/ _ \| '_ \ 0 + % | |( |_| |_| | | (_) | | | | + \__\__,_|\__|_|\___/|_| |_| 0 + 0 0 % 0 0 + % + Traité de Documentation. Three algorithmic poems. + + by Rémi Forte, designer-researcher at L’Atelier national de + recherche typographique, Nancy, France + % + serigraphy on paper, 60 × 80 cm, 25 ex., 2019, for sale at the + % reception of the Mundaneum. + + The poems, reproduced in the form of three posters, are an algo- + % rithmic and poetic re-reading of Paul Otlet's 'Traité de documen- + tation'. They are the result of an algorithm based on the mysteri- + ous rules of human intuition. It has been applied to a fragment + taken from Paul Otlet's book and is intended to be representative + % of his bibliological practice. + % + For each fragment, the algorithm splits the text, words and punc- + tuation marks are counted and reordered into a list. In each + % line, the elements combine and exhaust the syntax of the selected + fragment. Paul Otlet's language remains perceptible but exacer- + bated to the point of absurdity. For the reader, the systematiza- + % tion of the text is disconcerting and his reading habits are dis- + rupted. + + % Built according to a mathematical equation, the typographical + % composition of the poster is just as systematic as the poem. How- + ever, friction occurs occasionally; loop after loop, the lines + % extend to bite on the neighbouring column. Overlays are created + and words are hidden by others. These telescopic handlers draw + alternative reading paths. + + + + + + + + + 46 + CONTEXTUAL STORIES + ABOUT LEARNERS + + + + --- Naive Bayes & Viagra --- Only after 150 years was the accusation refuted. + + Naive Bayes is a famous learner that performs well Fast forward to 1939, when Bayes' rule was still + with little data. We apply it all the time. Chris- virtually taboo, dead and buried in the field of + tian and Griffiths state in their book, 'Algorithms statistics. When France was occupied in 1940 by + To Live By', that 'our days are full of small Germany, which controlled Europe's factories and + data'. Imagine, for example, that you're standing farms, Winston Churchill's biggest worry was the +at a bus stop in a foreign city. The other person U-boat peril. U-boat operations were tightly con- +who is standing there has been waiting for 7 min- trolled by German headquarters in France. Each +utes. What do you do? Do you decide to wait? And submarine received orders as coded radio messages + if so, for how long? When will you initiate other long after it was out in the Atlantic. The mes- + options? Another example. Imagine a friend asking sages were encrypted by word-scrambling machines, + advice about a relationship. He's been together called Enigma machines. Enigma looked like a com- + with his new partner for a month. Should he invite plicated typewriter. It was invented by the German + the partner to join him at a family wedding? firm Scherbius & Ritter after the First World War, + when the need for message-encoding machines had + Having pre-existing beliefs is crucial for Naive become painfully obvious. + Bayes to work. The basic idea is that you calcu- + late the probabilities based on prior knowledge Interestingly, and luckily for Naive Bayes and + and given a specific situation. the world, at that time, the British government + and educational systems saw applied mathematics +The theorem was formulated during the 1740s by and statistics as largely irrelevant to practical +Thomas Bayes, a reverend and amateur mathemati- problem-solving. So the British agency charged +cian. He dedicated his life to solving the ques- with cracking German military codes mainly hired + tion of how to win the lottery. But Bayes' rule men with linguistic skills. Statistical data was + was only made famous and known as it is today by seen as bothersome because of its detail-oriented + the mathematician Pierre Simon Laplace in France a nature. So wartime data was often analysed not by + bit later in the same century. For a long time af- statisticians, but by biologists, physicists, and + ter La Place's death, the theory sank into obliv- theoretical mathematicians. None of them knew that + ion until it was dug up again during the Second the Bayes rule was considered to be unscientific + World War in an effort to break the Enigma code. in the field of statistics. Their ignorance proved + fortunate. + Most people today have come in contact with Naive + Bayes through their email spam folders. Naive It was the now famous Alan Turing – a mathemati- + Bayes is a widely used algorithm for spam detec- cian, computer scientist, logician, cryptoanalyst, +tion. It is by coincidence that Viagra, the erec- philosopher and theoretical biologist – who used +tile dysfunction drug, was approved by the US Food Bayes' rules probabilities system to design the +& Drug Administration in 1997, around the same 'bombe'. This was a high-speed electromechanical + time as about 10 million users worldwide had made machine for testing every possible arrangement + free webmail accounts. The selling companies were that an Enigma machine would produce. In order to + among the first to make use of email as a medium crack the naval codes of the U-boats, Turing sim- + for advertising: it was an intimate space, at the plified the 'bombe' system using Baysian methods. + time reserved for private communication, for an It turned the UK headquarters into a code-breaking + intimate product. In 2001, the first SpamAssasin factory. The story is well illustrated in The Imi- + programme relying on Naive Bayes was uploaded to tation Game, a film by Morten Tyldum dating from + SourceForge, cutting down on guerilla email mar- 2014. + keting. + + Reference --- A story about sweet peas --- +Machine Learners, by Adrian MacKenzie, MIT Press, +Cambridge, US, November 2017. Throughout history, some models have been invented + by people with ideologies that are not to our lik- + ing. The idea of regression stems from Sir Francis + --- Naive Bayes & Enigma --- Galton, an influential nineteenth-century scientist. + He spent his life studying the problem of heredity + This story about Naive Bayes is taken from the – understanding how strongly the characteristics + book 'The Theory That Would Not Die', written by of one generation of living beings manifested them- + Sharon Bertsch McGrayne. Among other things, she selves in the following generation. He established + describes how Naive Bayes was soon forgotten after the field of eugenics, defining it as 'the study + the death of Pierre Simon Laplace, its inventor. of agencies under social control that may improve + The mathematician was said to have failed to or impair the racial qualities of future genera- + credit the works of others. Therefore, he suffered tions, either physically or mentally'. On Wikipedia, + widely circulated charges against his reputation. Galton is a prime example of scientific racism. + + 47 + + + + + Galton initially approached the problem of hered- In 1962, he created the Perceptron, a model that + ity by examining characteristics of the sweet pea learns through the weighting of inputs. It was + plant. He chose this plant because the species can set aside by the next generation of researchers, + self-fertilize. Daughter plants inherit genetic because it can only handle binary classification. + variations from mother plants without a contribu- + tion from a second parent. This characteristic This means that the data has to be clearly + eliminates having to deal with multiple sources. separable, as for example, men and women, black + and white. It is clear that this type of data is + Galton's research was appreciated by many intel- very rare in the real world. When the so-called + lectuals of his time. In 1869, in 'Hereditary Ge- first AI winter arrived in the 1970s and the funding +nius', Galton claimed that genius is mainly a mat- decreased, the Perceptron was also neglected. For +ter of ancestry and he believed that there was a ten years it stayed dormant. When spring settled +biological explanation for social inequality at the end of the 1980s, a new generation of re- + across races. Galton even influenced his half- searchers picked it up again and used it to con- + cousin Charles Darwin with his ideas. After read- struct neural networks. These contain multiple + ing Galton's paper, Darwin stated, 'You have made layers of Perceptrons. That is how neural networks + a convert of an opponent in one sense for I have saw the light. One could say that the current ma- + always maintained that, excepting fools, men did chine learning season is particularly warm, but it + not differ much in intellect, only in zeal and takes another winter to know a summer. + hard work'. Luckily, the modern study of heredity + managed to eliminate the myth of race-based ge- + netic difference, something Galton tried hard to --- BERT --- + maintain. + Some online articles say that the year 2018 marked +Galton's major contribution to the field was lin- a turning point for the field of Natural Language +ear regression analysis, laying the groundwork for Processing (NLP). A series of deep-learning models +much of modern statistics. While we engage with achieved state-of-the-art results on tasks like + the field of machine learning, Algolit tries not question-answering or sentiment-classification. + to forget that ordering systems hold power, and Google’s BERT algorithm entered the machine learn- + that this power has not always been used to the ing competitions of last year as a sort of 'one + benefit of everyone. Machine learning has inher- model to rule them all'. It showed a superior per- + ited many aspects of statistical research, some formance over a wide variety of tasks. + less agreeable than others. We need to be atten- + tive, because these world views do seep into the BERT is pre-trained; its weights are learned in + algorithmic models that create new orders. advance through two unsupervised tasks. This means + BERT doesn’t need to be trained from scratch for + References each new task. You only have to finetune its + weights. This also means that a programmer wanting + http://galton.org/letters/darwin/correspondence.htm to use BERT, does not know any longer what parame- +https://www.tandfonline.com/doi/full/10.1080 ters BERT is tuned to, nor what data it has seen +/10691898.2001.11910537 to learn its performances. +http://www.paramoulipist.be/?p=1693 + BERT stands for 'Bidirectional Encoder Representa- + tions from Transformers'. This means that BERT al- + --- Perceptron --- lows for bidirectional training. The model learns + the context of a word based on all of its sur- + We find ourselves in a moment in time in which roundings, left and right of a word. As such, it + neural networks are sparking a lot of attention. can differentiate between 'I accessed the bank ac- + But they have been in the spotlight before. The count' and 'I accessed the bank of the river'. + study of neural networks goes back to the 1940s, + when the first neuron metaphor emerged. The neuron Some facts: + is not the only biological reference in the field - BERT_large, with 345 million parameters, is the +of machine learning - think of the word corpus or largest model of its kind. It is demonstrably su- +training. The artificial neuron was constructed in perior on small-scale tasks to BERT_base, which +close connection to its biological counterpart. uses the same architecture with 'only' 110 million + parameters. + Psychologist Frank Rosenblatt was inspired by fel- - to run BERT you need to use TPUs. These are the + low psychologist Donald Hebb's work on the role of Google's processors (CPUs) especially engineered + neurons in human learning. Hebb stated that 'cells for TensorFLow, the deep-learning platform. TPU's + that fire together wire together'. His theory now renting rates range from $8/hr till $394/hr. Algo- + lies at the basis of associative human learning, lit doesn't want to work with off-the-shelf pack- + but also unsupervised neural network learning. It ages, we are interested in opening up the black- + moved Rosenblatt to expand on the idea of the ar- box. In that case, BERT asks for quite some sav- + tificial neuron. ings in order to be used. + + 48 + █▒░░ ▓▒█░░▒▓███▀▒░ ░▒ ▒ ░ ▒▒▓██▒ ░░ ▒░ ░ ▒ ░▓ ░▒▓ ▒ ▒█░░▒█▓▒░▓▒ ▒▓▒▒░ ▒ ▒▒ ▓▒░ ▒░▓ █ ▒░ █░█ ▓▒░ ▒▓░░ +▓ ▒░ ▒▒ ░▒░▒▓ ░ ░ ▒ ░ ▒ ▒ ░ ░ ░▒░ ░▒ ░ ▒ ░▒░▓░ ▒ ░ ▒ ░▒░ ░ ░▒ ▒░░ ░ ▒ ░░▓ ░ ▓▓░░ ░░▒▒▓░ + ░ ▒ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░░ ░ ▒ ░ ░ ░ ░ ░ ░░ ░ ░ ░ ░ ░ ░ ░ ░ + ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ +░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ + + ░ ing will be fed examples sentation of text used * CONSTANT + ░ of spam and real mes- in Natural Language Pro- Constant is a non-prof- + ░ ░ ░ ░ sages. These examples cessing (NLP). In this it, artist-run organisa- + ░ ░ ░ ░ are entries, or rows model, a text is repre- tion based in Brussels + ░ ░ from the dataset with a sented as a collection since 1997 and active in + ░ ░ label, spam or non-spam. of its unique words, the fields of art, media + ░ GLOSSARY ░ The labelling of a disregarding grammar, and technology. Algolit + ░ dataset is work executed punctuation and even started as a project of + ░ ░ ░ by humans, they pick a word order. The model Constant in 2012. + ░ ░ ░ ░ label for each row of transforms the text into http://constantvzw.org + ░ the dataset. To ensure a list of words and how + ░ the quality of the la- many times they're used * DATA WORKERS + ░ bels multiple annotators in the text, or quite Artificial intelligences + see the same row and literally a bag of that are developed to + This is a non-exhaustive have to give the same words. Bag of words is serve, entertain, record + wordlist, based on terms label before an example often used as a base- and know about humans. + that are frequently used is included in the line, on which the new The work of these ma- + in the exhibition. It training data. model has to perform chinic entities is usu- + might help visitors who better. ally hidden behind in- + are not familiar with * AI OR ARTIFICIAL IN- terfaces and patents. + the vocabulary related TELLIGENCES * CHARACTER N-GRAM In the exhibition, algo- + to the field of Natural In computer science, ar- A technique that is used rithmic storytellers + Language Processing tificial intelligence for authorship recogni- leave their invisible + (NLP), Algolit or the (AI), sometimes called tion. When using charac- underworld to become + Mundaneum. machine intelligence, ter n-grams, texts are interlocutors. + is intelligence demon- considered as sequences +* ALGOLIT strated by machines, in of characters. Let's * DUMP + A group from Brussels contrast to the natural consider the character According to the English + involved in artistic re- intelligence displayed trigram. All the over- dictionary, a dump is an + search on algorithms and by humans and other ani- lapping sequences of accumulation of refused + literature. Every month mals. Computer science three characters are and discarded materials + they gather to experi- defines AI research as isolated. For example, or the place where such + ment with code and texts the study of ‘intelli- the character 3-grams of materials are dumped. In + that are published under gent agents’. Any device 'Suicide', would be, computing a dump refers + free licenses. that perceives its envi- 'Sui', 'uic', 'ici', to a ‘database dump’, a + http://www.algolit.net ronment and takes ac- 'cid' etc. Patterns record of data from a + tions that maximize its found with character database used for easy +* ALGOLITERARY chance of successfully n-grams focus on stylis- downloading or for back- + Word invented by Algolit achieving its goals. tic choices that are un- ing up a database. + for works that explore More specifically, Ka- consciously made by the Database dumps are often + the point of view of the plan and Haenlein define author. The patterns re- published by free soft- + algorithmic storyteller. AI as ‘a system’s abil- main stable over the ware and free content + What kind of new forms ity to correctly inter- full length of the text. projects, such as + of storytelling do we pret external data, to Wikipedia, to allow re- + make possible in dia- learn from such data, * CLASSICAL MACHINE use or forking of the + logue with machinic and to use those learn- LEARNING database. + agencies? ings to achieve specific Naive Bayes, Support + goals and tasks through Vector Machines and * FEATURE ENGINEERING +* ALGORITHM flexible adaptation’. Linear Regression are The process of using do- + A set of instructions in Colloquially, the term called classical machine main knowledge of the + a specific programming ‘artificial intelli- learning algorithms. data to create features + language, that takes gence’ is used to de- They perform well when that make machine learn- + an input and produces scribe machines that learning with small ing algorithms work. + an output. mimic ‘cognitive’ func- datasets. But they often This means that a human + tions that humans asso- require complex Readers. needs to spend time on a +* ANNOTATION ciate with other human The task the Readers do, deep exploratory data + The annotation process minds, such as ‘learn- is also called feature- analysis of the dataset. + is a crucial step in su- ing’ and ‘problem solv- engineering (see below). In Natural Language Pro- + pervised machine learn- ing’. (Wikipedia) This means that a human cessing (NLP) features + ing where the algorithm needs to spend time on can be the frequency of + is given examples of * BAG OF WORDS a deep exploratory data words or letters, but + what it needs to learn. The bag-of-words model analysis of the dataset. also syntactical ele- + A spam filter in train- is a simplifying repre- ments like nouns, adjec- + 49 + █▒░░ ▓▒█░░▒▓███▀▒░ ░▒ ▒ ░ ▒▒▓██▒ ░░ ▒░ ░ ▒ ░▓ ░▒▓ ▒ ▒█░░▒█▓▒░▓▒ ▒▓▒▒░ ▒ ▒▒ ▓▒░ ▒░▓ █ ▒░ █░█ ▓▒░ ▒▓░░ +▓ ▒░ ▒▒ ░▒░▒▓ ░ ░ ▒ ░ ▒ ▒ ░ ░ ░▒░ ░▒ ░ ▒ ░▒░▓░ ▒ ░ ▒ ░▒░ ░ ░▒ ▒░░ ░ ▒ ░░▓ ░ ▓▓░░ ░░▒▒▓░ + ░ ▒ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░░ ░ ▒ ░ ░ ░ ░ ░ ░░ ░ ░ ░ ░ ░ ░ ░ ░ + ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ +░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ + + tives, or verbs. The to make these as free as from Virginia Woolf's nating between face and + most significant fea- possible, in long-last- entire work to all ver- non-face. The jobs + tures for the task to be ing, open formats that sions of Terms of Ser- posted on this platform + solved, must be care- can be used on almost vice published by Google are often paid less than + fully selected and any computer. As of since its existence. a cent per task. Tasks + passed over to the clas- 23 June 2018, Project that are more complex or + sical machine learning Gutenberg reached 57,000 * MACHINE LEARNING require more knowledge + algorithm. items in its collection MODELS can be paid up to sev- + of free eBooks. Algorithms based on eral cents. Many aca- +* FLOSS OR FREE LIBRE (Wikipedia) statistics, mainly used demic researchers use + OPEN SOURCE SOFTWARE to analyse and predict Mechanical Turk as an + Software that anyone is * HENRI LA FONTAINE situations based on ex- alternative to have + freely licensed to use, Henri La Fontaine isting cases. In this their students execute + copy, study, and change (1854-1943) is a Belgian exhibition we focus on these tasks. + in any way, and the politician, feminist and machine learning models + source code is openly pacifist. He was awarded for text processing or * MUNDANEUM + shared so that people the Nobel Peace Prize in Natural language pro- In the late nineteenth + are encouraged to volun- 1913 for his involvement cessing', in short, century two young Bel- + tarily improve the de- in the International 'nlp'. These models have gian jurists, Paul Otlet + sign of the software. Peace Bureau and his learned to perform a (1868-1944), ‘the father + This is in contrast to contribution to the or- specific task on the ba- of documentation’, and + proprietary software, ganization of the peace sis of existing texts. Henri La Fontaine + where the software is movement. In 1895, to- The models are used for (1854-1943), statesman + under restrictive copy- gether with Paul Otlet, search engines, machine and Nobel Peace Prize + right licensing and the he created the Interna- translations and sum- winner, created The Mun- + source code is usually tional Bibliography In- maries, spotting trends daneum. The project + hidden from the users. stitute, which became in new media networks aimed at gathering all + (Wikipedia) the Mundaneum. Within and news feeds. They in- the world’s knowledge + this institution, which fluence what you get to and file it using the +* GIT aimed to bring together see as a user, but also Universal Decimal Clas- + A software system for all the world's knowl- have their word to say sification (UDC) system + tracking changes in edge, he contributed to in the course of stock that they had invented. + source code during soft- the development of the exchanges worldwide, the + ware development. It is Universal Decimal Clas- detection of cybercrime * NATURAL LANGUAGE + designed for coordinat- sification (CDU) system. and vandalism, etc. A natural language + ing work among program- or ordinary language + mers, but it can be used * KAGGLE * MARKOV CHAIN is any language that + to track changes in any An online platform where Algorithm that scans the has evolved naturally + set of files. Before users find and publish text for the transition in humans through use + starting a new project, data sets, explore and probability of letter or and repetition without + programmers create a build machine learning word occurrences, re- conscious planning or + "git repository" in models, work with other sulting in transition premeditation. Natural + which they will publish data scientists and ma- probability tables which languages can take + all parts of the code. chine learning engi- can be computed even different forms, such + The git repositories of neers, and enter compe- without any semantic or as speech or signing. + Algolit can be found on titions to solve data grammatical natural lan- They are different from + https://gitlab.contant science challenges. guage understanding. It constructed and formal + vzw.org/algolit. About half a million can be used for analyz- languages such as those + data scientists are ac- ing texts, but also for used to program comput- +* GUTENBERG.ORG tive on Kaggle. It was recombining them. It is ers or to study logic. + Project Gutenberg is an founded by Goldbloom and is widely used in spam (Wikipedia) + online platform run by Ben Hamner in 2010 and generation. + volunteers to ‘encourage acquired by Google in * NLP OR NATURAL LAN- + the creation and distri- March 2017. * MECHANICAL TURK GUAGE PROCESSING + bution of eBooks’. It The Amazon Mechanical Natural language pro- + was founded in 1971 by * LITERATURE Turk is an online plat- cessing (NLP) is a col- + American writer Michael Algolit understands the form for humans to exe- lective term referring + S. Hart and is the old- notion of literature in cute tasks that algo- to automatic computa- + est digital library. the way a lot of other rithms cannot. Examples tional processing of + Most of the items in its experimental authors do. include annotating sen- human languages. This + collection are the full It includes all linguis- tences as being positive includes algorithms that + texts of public domain tic production, from the or negative, spotting take human-produced text + books. The project tries dictionary to the Bible, number plates, discrimi- as input, and attempt + 50 + █▒░░ ▓▒█░░▒▓███▀▒░ ░▒ ▒ ░ ▒▒▓██▒ ░░ ▒░ ░ ▒ ░▓ ░▒▓ ▒ ▒█░░▒█▓▒░▓▒ ▒▓▒▒░ ▒ ▒▒ ▓▒░ ▒░▓ █ ▒░ █░█ ▓▒░ ▒▓░░ +▓ ▒░ ▒▒ ░▒░▒▓ ░ ░ ▒ ░ ▒ ▒ ░ ░ ░▒░ ░▒ ░ ▒ ░▒░▓░ ▒ ░ ▒ ░▒░ ░ ░▒ ▒░░ ░ ▒ ░░▓ ░ ▓▓░░ ░░▒▒▓░ + ░ ▒ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░░ ░ ▒ ░ ░ ░ ░ ░ ░░ ░ ░ ░ ░ ░ ░ ░ ░ + ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ +░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ + + to generate text that tentielle (Workspace for manually define rules should carefully choose + resembles it. Potential Literature). for them. As prediction the training material, + Oulipo was created in models they are then and adapt it to the ma- +* NEURAL NETWORKS Paris by the French called rule-based mod- chine's task. It doesn't + Computing systems in- writers Raymond Queneau els, opposed to statis- make sense to train a + spired by the biological and François Le Lion- tical models. Rule-based machine with nineteenth- + neural networks that nais. They rooted their models are handy for century novels if its mis- + constitute animal practice in the European tasks that are specific, sion is to analyze tweets. + brains. The neural net- avant-garde of the twen- like detecting when a + work itself is not an tieth century and in the scientific paper con- * UNSUPERVISED MACHINE + algorithm, but rather a experimental tradition cerns a certain mole- LEARNING MODELS + framework for many dif- of the 1960s. For cule. With very little Unsupervised machine + ferent machine learning Oulipo, the creation of sample data, they can learning models don't + algorithms to work to- rules becomes the condi- perform well. need the step of annota- + gether and process com- tion to generate new tion of the data by hu- + plex data inputs. Such texts, or what they call * SENTIMENT ANALYSIS mans. This saves a lot + systems ‘learn’ to per- potential literature. Also called 'opinion of time, energy, money. + form tasks by consider- Later, in 1981, they mining' A basic task Instead, they need a + ing examples, generally also created ALAMO, Ate- in sentiment analysis large amount of training + without being programmed lier de littérature as- is classifying a given data, which is not al- + with any task-specific sistée par la mathéma- text as positive, nega- ways available and can + rules. For example, in tique et les ordinateurs tive or neutral. take a long cleaning + image recognition, they (Workspace for litera- Advanced, 'beyond pola- time beforehand. + might learn to identify ture assisted by maths rity' sentiment classi- + images that contain cats and computers). fication looks, for in- * WORD EMBEDDINGS + by analyzing example ima- stance, at emotional Language modelling tech- + ges that have been man- * PAUL OTLET states such as 'angry', niques that through mul- + ually labeled as ‘cat’ Paul Otlet (1868 – 1944) 'sad' and 'happy'. tiple mathematical oper- + or ‘no cat’ and using was a Belgian author, Sentiment analysis ations of counting and + the results to identify entrepreneur, visionary, is widely applied to ordering, plot words + cats in other images. lawyer and peace ac- user materials such into a multi-dimensional + They do this without any tivist; he is one of as reviews and survey vector space. When em- + prior knowledge about several people who have responses, comments bedding words, they + cats, for example, that been considered the fa- and posts on social transform from being + they have fur, tails, ther of information sci- media, and healthcare distinct symbols into + whiskers and cat-like ence, a field he called materials for applica- mathematical objects + faces. Instead, they au- 'documentation'. Otlet tions that range from that can be multiplied, + tomatically generate created the Universal marketing to customer divided, added or sub- + identifying characteris- Decimal Classification, service, from stock ex- stracted. + tics from the learning that was widespread in change transactions to + material that they libraries. Together with clinical medicine. * WORDNET + process. (Wikipedia) Henri La Fontaine he Wordnet is a combination + created the Palais Mon- * SUPERVISED MACHINE of a dictionary and a +* OPTICAL CHARACTER dial (World Palace), LEARNING MODELS thesaurus that can be + RECOGNITION (OCR) later, the Mundaneum to For the creation of su- read by machines. + Computer processes for house the collections pervised machine learn- According to Wikipedia + translating images of and activities of their ing models, humans anno- it was created in the + scanned texts into ma- various organizations tate sample text with Cognitive Science + nipulable text files. and institutes. labels before feeding Laboratory of Princeton + it to a machine to learn. University starting in +* ORACLE * PYTHON Each sentence, paragraph 1985. The project was + Oracles are prediction The main programming or text is judged by at initially funded by the + or profiling machines, language that is glob- least 3 annotators US Office of Naval Re- + a specific type of algo- ally used for natural whether it is spam or search and later also + rithmic models, mostly language processing, was not spam, positive or by other US government + based on statistics. invented in 1991 by the negative etc. agencies including + They are widely used in Dutch programmer Guido DARPA, the National + smartphones, computers, Van Rossum. * TRAINING DATA Science Foundation, the + tablets. Machine learning algo- Disruptive Technology + * RULE-BASED MODELS rithms need guidance. Office (formerly the +* OULIPO Oracles can be created In order to separate one Advanced Research and + Oulipo stands for Ou- using different tech- thing from another, they Development Activity), + vroir de litterature po- niques. One way is to need texts to extract and REFLEX. + 51 +◝ humans learn with machines ◜ ◡ machines learn from machines ◞ ◡ machines learn with humans ◞ ◝ +humans learn from machines ◟ ◜ machines learn with machines ◠ ◜ machines learn from humans ◟ ◠ +humans learn with humans ◞ ◝ humans learn from humans ◞ ◠ humans learn with machines ◟ ◡ mac +ines learn from machines ◡ ◡ machines learn with humans ◟ ◡ humans learn from machines ◝ ◟ +achines learn with machines ◠ ◝ machines learn from humans ◜ ◝ humans learn with humans ◞ ◞ +humans learn from humans ◡ ◞ humans learn with machines ◠ ◠ machines learn from machines ◠ + machines learn with humans ◞ ◜ humans learn from machines ◜ ◠ machines learn with machines ◝ + ◜ machines learn from humans ◜ ◠ humans learn with humans ◝ ◟ humans learn from humans ◞ + ◜ humans learn with machines ◡ ◡ machines learn from machines ◡ ◟ machines learn with humans +◠ ◠ humans learn from machines ◡ ◜ machines learn with machines ◜ ◟ machines learn from +umans ◟ ◞ humans learn with humans ◞ ◟ humans learn from humans ◜ ◠ humans learn with ma +hines ◜ ◠ machines learn from machines ◝ ◠ machines learn with humans ◝ ◞ humans learn f +om machines ◝ ◡ machines learn with machines ◜ ◡ machines learn from humans ◜ ◠ humans l +arn with humans ◡ ◡ humans learn from humans ◝ ◞ humans learn with machines ◟ ◡ machines +learn from machines ◜ ◜ machines learn with humans ◠ ◞ humans learn from machines ◝ ◠ ma +hines learn with machines ◟ ◟ machines learn from humans ◝ ◠ humans learn with humans ◟ + humans learn from humans ◝ ◜ humans learn with machines ◠ ◝ machines learn from machines ◞ + ◠ machines learn with humans ◝ ◟ humans learn from machines ◟ ◞ machines learn with machines +◜ ◞ machines learn from humans ◞ ◡ humans learn with humans ◠ ◞ humans learn from human + ◠ ◜ humans learn with machines ◡ ◞ machines learn from machines ◜ ◠ machines learn w +th humans ◡ ◝ humans learn from machines ◝ ◟ machines learn with machines ◠ ◠ machine + learn from humans ◞ ◟ humans learn with humans ◠ ◞ humans learn from humans ◠ ◠ huma +s learn with machines ◡ ◡ machines learn from machines ◜ ◞ machines learn with humans ◡ + ◟ humans learn from machines ◜ ◜ machines learn with machines ◜ ◝ machines learn from human + ◜ ◠ humans learn with humans ◝ ◡ humans learn from humans ◡ ◞ humans learn with mach +nes ◜ ◝ machines learn from machines ◝ ◜ machines learn with humans ◞ ◜ humans learn +rom machines ◞ ◝ machines learn with machines ◞ ◜ machines learn from humans ◡ ◞ huma +s learn with humans ◟ ◜ humans learn from humans ◞ ◡ humans learn with machines ◝ ◝ m +chines learn from machines ◜ ◟ machines learn with humans ◡ ◟ humans learn from machines ◠ + ◝ machines learn with machines ◜ ◡ machines learn from humans ◞ ◝ humans learn with huma +s ◝ ◠ humans learn from humans ◞ ◜ humans learn with machines ◠ ◝ machines learn from +machines ◟ ◡ machines learn with humans ◝ ◝ humans learn from machines ◞ ◞ machines l +arn with machines ◠ ◠ machines learn from humans ◠ ◡ humans learn with humans ◜ ◜ hum +ns learn from humans ◞ ◞ humans learn with machines ◡ ◝ machines learn from machines ◟ + ◝ machines learn with humans ◠ ◟ machines learn with humans ◠ ◜ machines learn from +machines ◡ ◜ humans learn with machines ◞ ◟ humans learn from humans ◜ ◡ humans learn +with humans ◝ ◞ machines learn from humans ◜ ◝ machines learn with machines ◜ ◠ human + learn from machines ◡ ◝ machines learn with humans ◝ ◜ machines learn from machines ◜ + ◞ humans learn with machines ◠ ◝ humans learn from humans ◠ ◝ humans learn with humans ◞ + ◡ machines learn from humans ◜ ◝ machines learn with machines ◠ ◟ humans learn from machi +es ◜ ◟ machines learn with humans ◝ ◝ machines learn from machines ◞ ◜ humans learn w +th machines ◝ ◡ humans learn from humans ◝ ◝ humans learn with humans ◠ ◠ machines le +rn from humans ◝ ◡ machines learn with machines ◡ ◡ humans learn from machines ◠ ◞ ma +hines learn with humans ◝ ◜ machines learn from machines ◜ ◝ humans learn with machines ◠ + ◞ humans learn from humans ◝ ◡ humans learn with humans ◞ ◡ machines learn from humans ◟ + ◟ machines learn with machines ◝ ◝ humans learn from machines ◜ ◟ machines learn with +umans ◡ ◝ machines learn from machines ◡ ◝ humans learn with machines ◞ ◜ humans lear + from humans ◜ ◝ humans learn with humans ◞ ◡ machines learn from humans ◝ ◡ machines +learn with machines ◞ ◟ humans learn from machines ◜ ◞ machines learn with humans ◟ ◡ +machines learn from machines ◜ ◝ humans learn with machines ◠ ◠ humans learn from humans ◠ + ◝ humans learn with humans ◟ ◞ machines learn from humans ◝ ◠ machines learn with machines +◜ ◟ humans learn from machines ◠ ◝ machines learn with humans ◝ ◜ machines learn from ma +hines ◟ ◟ humans learn with machines ◞ ◡ humans learn from humans ◝ ◝ humans learn with +umans ◡ ◝ machines learn from humans ◝ ◡ machines learn with machines ◟ ◞ humans learn f +om machines ◝ ◟ machines learn with humans ◝ ◜ machines learn from machines ◝ ◠ humans l +arn with machines ◠ ◠ humans learn from humans ◟ ◜ humans learn with humans ◟ ◝ machines +learn from humans ◡ ◡ machines learn with machines ◜ ◜ humans learn from machines ◠ ◟ ma +hines learn with humans ◞ ◜ machines learn from machines ◠ ◜ humans learn with machines ◜ + ◞ humans learn from humans ◝ ◟ humans learn with humans ◟ ◞ machines learn from humans ◟ + ◝ machines learn with machines ◡ ◜ humans learn from machines ◠ ◠ machines learn with humans ◞ + ◡ machines learn from machines ◟ ◝ humans learn with machines ◜ ◞ humans learn from huma +s ◝ ◞ humans learn with humans ◜ ◟ machines learn from humans ◜ ◞ machines learn with ma +hines ◝ ◞ humans learn from machines ◝ ◜ machines learn with humans ◟ ◜ machines learn from +machines ◡ ◟ humans learn with machines ◞ ◠ humans learn from humans ◞ ◟ humans learn with +umans ◠ ◜ machines learn from humans ◡ ◠ machines learn with machines ◠ ◝ humans learn from +machines ◠ ◜ machines learn with humans ◞ ◠ machines learn from machines ◞ ◠ humans learn w +th machines ◜ ◟ humans learn from humans ◝ ◠ humans learn with humans ◝ ◟ machines learn from +humans ◜ ◜ machines learn with machines ◠ ◞ humans learn from machines ◠ ◡ machines learn with +machines ◡ ◟ humans learn with machines ◞ ◠ humans learn from humans ◞ ◟ humans learn with mach +ines ◝ ◞ humans learn from machines ◝ ◜ machines learn with humans ◟ ◜ machines learn from hum \ No newline at end of file diff --git a/data-workers.en.publication.pdf b/data-workers.en.publication.pdf new file mode 100644 index 0000000000000000000000000000000000000000..9fbd875f40bc3fc9aca02b7c3db191b2bafc0c0e GIT binary patch literal 442833 zcmeFZWz-s;*gGUC;A+L-b-PhJYnCgWSAz>RdB&4ZbE9Ox84Gvzy_h ziF7$qta0H4CXqrxr-&n=TsTsLlcodZ$Ujd!&2Z{SHdc<;(1_G#TyC>cxfls#n#qCy zu#8*5u~RTp2%(3Ad89l;lJ>`OAaq%p6szJWX&B?fko*DzJH-<+c?M8fNM&W5Zi+VV zTQ6YE=*%G!0cdN`&m{X%CnSy3f*oQY7 z0Ad|n#87fkCW{y$$OWlII67p&AW1N}&8G8E^=tsj9E9-6LYR&{+f$g3I!-5wbB#$YZz$GYx=s zLDkNb0BNEo;}%v_ZF2}2Ar4B#h=Mb4iPq$Is|k523YGH^*&ry`VnaEkCVfB_g`d8NKydcf+KJ`n&Bb^I2BBm zABFAbBjxVXtfrGxBrh9Ut+(IR0OEC9Bd z$b2`7?+042l2i&$$+5F`zE1BFfYLT-KFLTypl~S<8{{g{Lc+u^Vi`&fI|N}V*ZH*LJg6IXAu7epns1T0)_ZD$n=_h!jqcN z<(CTg%DQcnzMj+pv#;5N^_-dg?;m)wa(G}^x6}6fUo-*WTeX4hR?ju2a5)iRsWrWC9qclxDBprS^W-l3 z$&M?WQ*+NWTV~^&J9nk@$D8*jZ?W!O?KZeUz4n8LwC%O2e>s2b(A>UHI&Z#rdGpo& z?=BvGZt<*$)|*Xr=eW$m!^6C5-L^Np-tEiHPrs`@d-(p*F`pivswd6vf4REjzOKu= z4;nM?)b)FFYeS^*kG`9|_muC@)AXDlnCus?aK0H|(mzr+ZhC$3FzC>nCE8~5%T4D# z)r{+c+OhWO2HUezxA~8s-!j3XcTer@Gw3;Q*{$oFulK9>_+s5xPg)gDwZC(vcdKS6 zzxnN}t`~LAyM^AZF7(`X_uh?jr~5xU{KW91^{d}&8gov6)&KPPp0!_4_d+i=x9zFdT-a^6|EspwlkmM1d~??g=fy^s1C1XI z{r!5MXEz$XYw~DF=K$@|;2mpPWrxhV@$JP{oA!ROxkbypkMoWDwS6*l+x6_`#@t44 z_paV^=*EQ`wCmi>-MbBHP5*L4psh0h<+!~a#_r4Qh574`+XGhbDfIe!>5VUs?^g6` z(rvixdfVBvkvT*^9ElV4!geY8Mt3dZmZZ0#JjHV>i26sp#9w8 z*S?Egcl2sGcf_?3xIJINN&Lh+_{rTZ^gYJty(qoZ1D~FqBH>;ATyym${_4Hgy>fk@ z56JH8TW{G9C)T$w&FHe~?v4*V?(}|4dBfNx?nVEP?R(E^%)Z|E!!X^Le#Pfw z@3!~17}on2=_Sh_S67S7Z)+ws{(8r@*0q0py#zG!IQZy0^wHNHr`(zT#nxxoW|g{t zyYI2Oz?MJyF-&zEYzg`e`)yeA;O>|$#-#lGCB+(th=*nVw0-u~K7S#3@H#tiIvf$G8Cd-wab z5VqKTbiSz({yUpaGz;h}e${7B-!m`2pTDWItkv6^J{wH;k93nfea(1fKQ+JS2W0R~ zvwq7GzXdzIzI19xn_s`2sUAFb)i<@^A79@kEo}B~=Dr4^-o}ZKTkfdTN%GTbn-~YV z#?BRuej+^HWyPM6-L&r;9UYFJHjw|c>5)OBI+lW}xGscJwU= z+Syiu!=H8>+CpvJV*_Twgua0Qq4V88gVTq2Oq&f~4LfM~xtX-dH}AC{q?if#MiW1q zFuU92Cw#TfW*OABF{Onzls>xUAi22n+~JqqM4#S3-Zksj)$7Hld+{V&#(rBQ&0pN2 zh2pE}h`FuQzVmEJB+`z9+ln7aJH zif7K3{Rpm&*DhMHU|7dJn@%g;p+)Dth6!!|?2zTF?!retzsGpP89X(58voO%Kk=QE zOMbf5?y^3ZEw>oFe9zwDhkpLOUfh0kW+Qt`(C@3GeRY26>xRb{&RuqVx#ahKy{1Z9 zFY74&b$P;n9zAR`c}_d>nk`%S>64Nx-_DcYyzoP7-19&CIQaEbvp}s+HM|oWcK??z zk6HltPC?ghaN*nRXuM@$|Et%G(I^_*>}$|646cuNii4W!`TaUlzsleyJ!;tX`uo48 zZ|6adcYAw&)A}!aJHyLcdglz=twJ=yD!7;pLuXyLZr;(T1jhYJOx~Eu={|S$x*bC2 z+FfG$hJ^Vrh0#uSj9#J7{&fI_c5CA;0qM`cYxncDtd=XKs z-+*`2n^hQTT0Dg>s1KTMZavmXp7KLZ_05pr-HA0cZLqsx_$SoHHnI`eRsIR5(){+$ zb?vNuB%kBQem>L|IsNvpIK!Bl1t-4Nc2^8K)BAcG!n9WVvclg35ZLH7Yc__yCCpm- zJq+=A8uRszuV!CZJ7>bHW3BOMzzRgKoflCZ>xNx#(6U6kHfqL%?($KUag&#uL80Wh z7DFc>e5R*g#vw0DL#E_6OJ84p87vHSw>|VSn7(vt!LpQn-S^iIW)EAa`~~pNz&n$+ zcl~;kdG(_UH-lY#_8pny+YamuxBZbD{kcZkV}H{Lg6N(zE5=)u(|2Ea$^W^we?#h> zWH(%4`1ggajgsFxCF>kV!>&Dwbxg&$(OYJoU!XXeG5y>KzeV|AbWDGw>%&5}+m(Fh znUf;DHMfPsdmlO|?DTTvoP2{vtB!%@-kLbU`cUFNyl3R%$IG`D&p*nCYW0p4a@raM zqE)ThF&90MH#*W$y!p$3W?^8@o+&S<{M_6!yZfFIe|&wvM(WcrPX>yMIhDtweiGvL zbl*6%-7mft@IMc%IlN|qf5ublm+DcA<1vC^}n#~T;JTYx0A12r(g`2_si6a)19Ix!gu>tj{Pot zdgh4dcH`-puf}ZE&r0JBl&77R#Ib`2&MQsV{N$NP&)QI&vZ(iZ z;4Sle;_(+-kB}E&WCl5WIqit}1J^3}c zQ*h$`w}~0wH9Cj?vE9v~6~yARtD`c%uIb(rPB}6#Z*XGxd<}J)Zf9+e9p623t*Pxd zu4H&Sz2)QD4UCR+T0HvssK2(`Hlcwsckr1<{95nOPbqp#Z+MAo$98QCD51zJ2hN8roYGFg1GeQ)pKb*h;iN3>{xpG|UZx@{k|^tvN6kb;lwmb^kgnEm69tq(U( zsNC#Cz;-@%=Vp^==ntH@yy!Pfli9o51Lq$Oys!P~^N{_tZLB8A*@kZ~eRD5u?75Qn z-QACOBTecb5Z+mH@%<0Zg+cDjc7qQLTJoyf@a4tDE1NHk!h+|y))p|1wodKse`;8l z3S!eYEt>!O!wlI=Ks`vq;N1B4FT_g+0_NY8yco4~x01U|fA=94y=#-)B07F@!053l zul{(KPNh|YG#A!&sqFE;+;`&ybV37he8EBbyq*4ybsw6L&FOA&q*I=Hxy3 z`k`CaLpoqN`1|w630UYaCM=^H9|)b%>H60GmhD=)cVikKX)||I+xe4UI^N5!Xa+Ah z#BYT^x~|l$Alr3W^>W_hkH2v#^^N z+ZM}2uhx68lacaUAI}e&v2M-{Wk_I}UcWF+%WcYn9v?ri*#w$!*ecvh?g7&g@1FYi z$DP;&8jJ94)N=~xN&o2`tV)r-pHCx?2Anrp&y*t*Z^&Wrz~f2Y z;I$EnCiAu(hRwvDJkn(D**@}>RJ?P!?ACkJ*WcbHr^<8R-Jws{&C5WgOKU% zw@tn0{ISco;sZ}c2G`6DoV;6qBcR)uSGEreUti#^n25Nzbp@jKz?vz;U zfM~e0VfZEgo9_bCFfqaT0V6hC>4DmpE!BPPRhSQMpLyyI4Kx1AyJp{Bej}!lsLgh- zsguos#I~obYzh2MKU_E9`!~0?Y4^$p^uV87{6+Km=pUA#7QvCg*pffi4#5C3tB1J8 z-JPnGcKOH{6&sWO%+g;y_H*Wo6E@sYQdeLj$2uUK{qV~G^pt1TR~Mfzym9u^pcBBe zJMW_<$0)ZcBS^)DRMA;i|JrBuN4rYvxijkelUDn%*Dt-X1$X`0-t}Br|H`pdqq?l` zt^Q)y$rcSK-s{kA6yxsYb0Z-MD|5{JKy3N+4vyZBX3cff-4UdZEV-JPFody&nF|hm zceZ&Exigm3cUm-;vA0}vsnep+o7xVBK877T_P^_J#y)fLvn4Tf<)=4}*coDPhqu7r&fJ&ZZy#Pc zboMI8tp$5lQ}$5q-Ws~Vt39=|$=e6xdu{!Jak*~&l2MDl?|SIZ--z~xDZ=;%`#PxS z4%uc4XFAml3kG4^7nyW379E@Mz&wDiOnldH)W~D{0sfVHE^L?ov3_hk3u{H0|KVI^ zZ5h|)_OH_?v}$)`sJ6`=+y~?$Zjra3e-FatF`c7^xo6&pK=%-b$@XsNK5l+;`G+p+ zFfZijJDV*Fe%Npq)S%(GQ@{KnSW*(W-aaT^cX(! zXw{M@Plx>0XK{Db(80^rjcwc@q+incptd2=#Q5grJMWBM$4+A1eNnOf5h&hmK7RC};ccHUC0^Up6@#}g`0B`omw-Oc<~>Q*jq4BJ zg&t7G4?n+I?4DjT=D>1FU?-40sr%u!9_WA>&u184wzKz3H+;$8wLsAGTki_ju{oWO zHu+_lV<6)k@}YPAALlzb+F2e9YqDwTucFv%xv8~Be6pWy;wLn%&(|{-x0t%H$-%Fm zZ+$uVWNYHhr$g5%KaaXZ_HCcARxq-UV359pEvzr>aHnpE_AeS{9QjH& zDjl5DT!vY2d^%R(QK!D0IcD9$VD`rj%+FVmTybr}IeF5;rrXSKE{*%;t;Bh`_V@C4 zU!bn86z`!AoZ9WQSVz7+a#L`}B3uXUp~uF4id65IX6O;gOWq0i+7Fyh>c*5+V&>>E zHzqY0+TVFJZCLM`G7c%sEG~A z{rYaPd)vHtN1-^jFBsdp+3M*Gt8El^c5FejFF&#bs*4K`?^=rrMoLq8F4D4xlnq~a zTEj0LH*ZAGnYdqiC^~O>*9TZ{``cTm+*-TnrPq{W||^8NU;u*aj+&>z}m#S0IO zoOt#-Et5U^P!lv@=??dT@|4G8Ru5c>w1|wfEbcXUR)=K2 zTNf^+eeDyhyUuzL7P|-J)%T_y_+OiPAg_CCKjTd+Im>nOR=1Ax`D&Ht*l(M19}YD? z4H*qjcH0qqcx%aFW~SBq#0mdR?4uYO~cgg?nMfeeTph zGi#=T->zCSbK)&!o0~^4;-5zMDF~2bvf}Q2hT)cs0l0puQBh`0dQ>`}Cf{qirTdl6 z_h&radS1{&baGUKtnv@v>A8kO`5rqxuZ{}M>}mTN2Ch#5%qPzt+Tr2+JvFNZ@Qt=T zgLdlHo^B$3ywag<+sUT=5Ry<*Lb+Q}1_Jv*?qIc^f2*o87+ z-#Yj!!(kG7{BMIcd~8GH~K? z*!xENHlNNi=H2afM|ZYSq~G3e7ExCmD*may_}$|k@0L#P)p?Wuk&y|s6LvYjd7!d) zKP=?AEhk5)n^TOq81i-R2{|#Y%aRih-AB!%E^S#0Z9XSRUDxnq{HHB9G@ETu27eqre%QIT@$7}W zeq8vt|KPcqwY;SZ)pyoDG(Oz}ZC{`B?Jt0KbKKrzlBHv}ZI!mFE%n}hV0nieU~QK? z_QCuel7p@ve?naN{d#Ee>fo6D=d3CSB06TVa#oiu^*U}oBboO7*EO7a@!y*uu8$^; zmv^`e>#|U<{>49N@s&GW^m68j&B%L09_cuJdd!fW?mZj2uQF@pMpEX@ZD%v~e&wpE zu^otl^l1A@h_7Gl5cl)g2TpCiyRPSod^%&TT}9eFU`le6EWBnv>#ee!PT9daj0L*FUhAdCq-|QK={X?{u zb9$4DOOL-B+O0Bj?4QFyt@<4AIWg+kyK`#qrh9K(UE7d8{h6>PI-ydf5X!nTgU3X)E_X_f+ z_jF|3^Vg48tlbywv+vW~)ql31>)YwL6H>7rYTGsLy>nE5^NVY1R&haNw#dp__vaBG z854x7E`F$=wT^tnZXf>j;PA%&F$1_;pXXXm_%pfF+W$`d9Y^9{!Mi!y7cUQ6+qWs$ zrTAo%{BZAR=ZtpdBitP1r{cJE?6773>Ha59?Wujg@bxkFr-hwC&dDu*pTcehI{xDL_|EqqmUds5Jby_4vFq2NnNLprl9~+9`zpT) z>wnGI)#1dQIX~tMlW4Av9lpB2Q1%{o6twH+k+56-nZ2qt<;YCrX5Q9M-B)cMcwpS; z9;c2D6g_)$de*gxZ#R8Ak2IsX1$_MG>Ca;PYQL}Z>;~h)E%#5CwZ`oFUi4^nw$i)u zLp%Mzo2aL)j*gpgN)Yxd-B>f{(2_ILZ6lP@k< z**%W*f6x_WTlGiu-Eoo`FA(dW6_Uo1g=j#dsm+-4hC zdi~bAYu$(6W~S;M`Cjgxd4v+H+rIs7EOoigyQ4?>u_?7{+ndK5x|iQpy5HxX@4xhq zU!KsmUVCfp-LucpzQ6vl;O&5opl!^)r5@zI%s+x}p04G2F4SgUZf)@U!8*>aC*N0g z9o}%K?rzK5-Hz^<+jrBwvvYUO{f;xD&)oaHH{QFW{@r!B89*YVbTTK+n>^7ENSJw?}s zzol)=xHr`1ZteMgeCFemg99&>k1Xv!>two5yUzo*J{U;NUETipCsBhHjX(9deq!*v z7JL1tu8-TpYOGt=a6m_2qk8Kf9{b$lo1?uM+oO+P-8;$Zb9u1j$@o3Tk37nM_T-k; zOuw{X(`CQm;pVH^5h^3@;p3L}X&<h z-=Cvzy#D-8b!eWl7mU6ADgMbUaU*Hw@qunn59M-#x{crSx)0j+ zXn@Xl=gR@9(S3I`v~3+S;_>(XW00#?_e`24P-I0(Z`4JL?pen} zTV$_xgf>^YZhV2COZl!ZdjLk#XWfX^+PAfxPc7Zn`M|EiwC<1l4t4Ry#pFB#t*53d zkHQ&HP9JpbN_|HwKi=S4eQ8qnOAoIQD(Udq%asr37c779VB(3ZdnQh9b9Lv$2WL#P zc3eIrgLdEl%ViR=cX?gUeYfwI9|WG(Js&md?5pV0yUS~j9C<#er!H|D@S)$W!=hV@ zuC7}CK(u7Wj1%6(!Ok-}JbN>~J61Cn-n(zBCj;ZhmS(PAZP4?~#t}XSflGOidA@Y% zj!_e5oL#>ul#bqgw{g#&MU!ETmo6ROQhV5@Yu=5+CE%&0^iAf|8_#DDa?zFhPdu72 zbN2Hd-C5>NUAxX>KYTpkcK*S;<{L-#?Aso7s5J(NZhnwC1e5+~Ziyv8i*Ia|-j`6QvzWZRz&APf3!#A#3 zpX&MO32{fKy}XBC{M_&;?n&K?PMta(Zgu-BZ*NmA>)eT%ofj)RVqWUbe*WIP;i@4-ZIq!fx|%QYARkts&qU)hJ^wTds!c zBgC4&Vv)vXICJm(Us3w%<-dj~Ci3N6vDz&ih?Q!{|LiXm=6cn*Fa$gv|BvyjBUO*8 zBUc0Ze|=CJ$W(_A{NsVLWE0WqHBBU(sAQVq6y-oV5fWr$=|~N}8BXxeS^hPvYW)9y zg+&>E|0e&PNbqmtpmY-BU&5f3x;?$*3<^O*xQRv9y0Z zY;%OMuG+p14~-v$`z%v(k^X z%hxmXHq(!zCB4iJ{OtVuEBQo+kWNXxtC@7sczl2zR$gFbuD{g{F4!u zz8_y5Dzj%VyL_QAupjSF`mE2zE8{QRdi7yf1MgMb^j!zf(XVVhklym>&8-`sB)(14 z=WSY6JL~g>l>-lc{8Z@3%B|M?cBMCOr)T4~=UeA^5B<6?So^5k@BpLpvOjlm*Bzeu z^6{EKN`3$AvTZYO+FR;|Gpl+qm$#Yo%Z!$l(-P19pH`JuKY1YFoJPGKJ;2O6t9uCR z^RxF{=hwqOE&No>O}_SQ*2m%3Zqq(Ocio`9Z?Wr0?ww}9zTAt>1O7wP^lQ(zeH?e~ zPS20nUAKC^@4D;Q(|4W$hn~J*4fvm%K7j}Bop)RJZt};b11Irr=w84+Dn1S69hvtG z_P))3ZbT0}IPcD>ck4cO95{`4>(qB_8%pmhU_}*d)EH_SD*f4 zBXZyY-<{R(R(xzXaO$p`t6$hYT0V{5b=3FV_8#@=KQ?yT_4|jqSu83h{exW@^06q>beV0cv~!az4XM-edg`x)Q566aQX)c%fZv> zPujC>cXq$F?d|Wc2dv$+ZB!3`$=rR}^FLY~y3;T4?WtW~+~0q5*}r2K>fbT>PlQW} zs49e|iDIcNiU*2+;n`FPmj6K@=3*uC7nL-_2?M3bU###yF~Yx6P0e2{_AfM4rKDVy zME;RI^cOKy8`XjTx+8%?YKF5V!sU3W#`O;t`ak%EQYFd%|M~yT8vJ8h{J*sLp1+GS z0{-9NhVXZwR6$Zb|G!ZpkEDA<%85|m@3OcVPLi!6Ad!vLRQG#UkS!(t*M+~|jq>-K z{RPjOzhGNMjFeCn(*HR8o0uj2y|=j-$d>+*x>xOi6IB6QRUfJ%|DT`#r&gd3#HxTc zMoPI#F%+|=)c|-|D_+){54JEU-QQ4 z1I53z6v996@|Thj_=j@w*IX$K3YJKtP;2O90+vo^(EoK||7G_7tt9;KWE&Dl)W0hY zvOqZt4?#_I1(cbj%3%h-4Wf5B*>(p~F3TdrS`kbx&XT!GFj$ul`GZ0o$&Csl6ZD|Y zl_&XSGi)S|%Fd_oa+daF5f5`ds+3x-%UR2YaZRERk?q);ZJI9?T6OaSP-=mgZ{ zFBV|bvI)&jYSUU%ppp%7bx^HD=tDz-6n`9yj;b;&G+dOh%Ja-nFehNEkWmjU3QE&h zWG!EX(Q%*@hZ7S9+tXC51|%s_1JrmHujf`6N_zsS2N?7KosY|cN8xy-i-(7cm9}JB zlTJp9;tGSV$Z#leVZxu1nRz#D>B>gF{E5axOjBc>SXjOs3{FIaokC{wyKOs=m zCHY!DGi&oRLmGx82@R@B`lvmEl-Z16uTG^=qeWJf{2C*SZGj$;_)gx zG$4tV^2;G;UgbA)1Zj3Io1l2wFv6p@dB-lhx>Tz$#!R#DtLLa!O4A zs+S>I|@y1EVo(Jqm1@%_JCH z5iC0x69e5|S<0>P8hDZvj}FYRSrQ>ouN9+J!F(FQk_RFoxChU|3p`qtE`$K%Q7SGM z9YP~<3Kd8#^k#E3CpHat8Axb4n`zI};Q_5dL!x@gqO>b%^}x+!x&f<>JCs?hQtLOH z_+psLYGNyxHetk>aLdFh3AX5}0ATzeL>fe+ONrY(p*Zxl;D+72r#k=2Q-@NwPNzlqAcOn;WI!%j#f!Xg=i8=Be7?+Wj|33GC~MM zSG*)fgey6VG^};Q#CDe)<;B`dk|f0B6G=%fGKO1$R0DW?vP0=WX+a{3DZ;Wq^h%M) zr-n*{be6}Tui$M-C(J9fay)*h!^M`s1OW`lo>!1e1+zgaM%rb7yvP^?Kuy)6fS3p8 z7ZB|x7gTA55z|b6!m5Ic*=k`5=clm4P>K$2@KTr9AjLW1c8#}Ki zNkkly7X#LZ+3xBp7Rhlcom&v=6-c8jCi0c^3?x|^XQpx@J_P3@TJ?^C5sNSavOuYZ zo`U)e5TsTkbl9*gTgr=NXQ=QLNoCbpITEgbWJ3Y5GG3@mPhjM6WwIz!7I{#F)nKpY z#M5-FY?MI^28tWoE28#G8!m?!lT;RGpz3@Hl0 zc0N6-Lo?LTB9sqMaNtlKFX*6fwdp)s>WO(79&Z6E;;{<_6p^99D}`V)NQq-H;YMgy ztfL1CgcyXEp^M^71)>bgho#vRhnT>KfO$DlsDF0TMVh%A6G%oP~f7?PaLUW{9T@XXZ3Unv67@Uqnx8vm+H_e#U#3&)9$C;MP#d(+@hd>#i1(wL`Poz{{lZ|2_ zBlCG7SrUy3;tCqYuS2OpOkgZ*wJ;bNiW=z*IYV-!!(1%_5ta#lxzLfavTzWWC_yTC zJz}$i0q4Vn0f9bA(eZ8GB*1E;msNUAOqW)3f~AxTEQpe{HbDeLONN|6JPYE5KrAe- zIhI32eCh&EuFTNL1)xC-7Y9qYpbeo=JZC0w%TlKM)DkM;`fWvEdHwUUrHIMP72tB#fa1nA8wC z8^VuE;Y>&-1OpTR9CRg%M_a<6c+r~208$#C+i1aZD8&eY;1;;d=CTh;&$#hLj6Gy$ zx`0?r9u9X|D_RznTFkQ&L5LR=2%rgUk}Vy;_=9p6*G>^hIYd=NC?XnSQZ~#Rt=K~b zy|=`KM#Ty#KPXQyOzOCrAcbMT&Ljeo0YmBHRNhfgVxS4H7w1HK01C02pElZYP?iS6 z)+1vQbjnpxs^khvRAtvY3sAoYX(74f^0KZB$x-vkG6)FJ;~0J} zs%$cAu=Y@10%MY8%zzxsQgV|+yP<QX zrF$g|LM4!nD@rsmRECci1vn@e2EyPXR1%Efb>;(Zep2Ad!=M1EoFL**5Imv>1T)2n z7H=5j@Edt-VNy(1h;md1IYC2t5D2K8gG|Z9!Z3sv#B22xsvx0G8}OX8+Z8BzaDwX6 zo_}xr-hkrNkF8lQ6Fhsw-g$jv|o- z03d(~R!~c1WBCaa%a%8Xl}wr&3j%rOF z8Hv*(0W1|xPS=9dekoo?Q0bK%rHd=oqN#Fc7(wx%^w^Lmj`CPycmyS>1F1_}{T7cm7P!bgb3c%~=-?}(8F3au`ZH;VOD zQY!H>EEK~UOUp!NQc%j*QAPfu6AWUAq$-k*0;g-lG%iA04RC|I33gC6;@|59Cr(=^GTveT1Y9c zB}ya=S&%BxyP&1Gn_1QWe7<6i7pHQw7Nwc!G-3eg96~`zA^jq)CRUaRGIV967$Q5+ zdPqJV5CBa=P1Ke_0XvPeLi^0;NI4PenpjY)T4tM^h;UN*b}~L9AHWUbR39P@mSqlsko5u|msDg6-O< z%PoUYebA5;sMp7URvp8JQPavuR|!=}W3h2HOPOHfS*&6vMnFl$7)UC^Ob5yGm^p(| zI2Car3hTwNDF7P?>F^p61wWLK4VE$td?BexXGnS_-|LPA;vAa6#ljHvSRo%O#skeo zLktxT1oL`{*NRf9bx>nIThviObS+L`69mMWm_by&yxcN!&Wqj zVsPc+MI;lcS3?tF3`Iss6hcIrF(m_{DSiz_PROUlSVPF8GkBaXgWB#iXec18SMNyU z6GgQX4_Cq97%wc!ho;MTpI)Fa3DxpQz^#iAqCHHmK4Rh=Vg?5-3Id6V%EgHyzlrG= zP^xyM%oA~g%_fqc2}Z*0e2~pYb0&;XyTVu{=%kwj19)+8UQ%WyWJoweM1mo!7>sZP zuR~g(G<=95plT5%J|+i=3QWaxGM^UG!_cy?TJA;W`}8F)#tVp1f#R6LqT_}##vonp zRKgihbcRc$5aO0#Bttdj{U`$|UdrWs_%b&~P-jUbtCA_eazjK-3Mvjo3cLi)uacwO z_PpQfi{&zQttKqgEB*(g^VQX@4&>t-4Ax93B`L zaKOn@E!mri#Q<~{u82kb_T~HPtF!S~TgQDoB&RJwVfzKSe;Tb$kq4SrOVX-z#iO$qNZCl7W=H|@;#ewPD57LZ zXtZQ;xjjBh$(2Y|i-gIZXxtzY$hbIS4x(Uq-CC9{B;mo_T$c)lP{=BQq5@DZn;`;l z$tSl1eKsjA9nIVHE{;D?i zBv@F3iNn_xX=W+SK&}=f=Wr26N`_`B!d?kRh=-W1`FN3DvV=Hbzk#06QoTebo)Ch9 zR1C8`sDWvG1&zl{1tY)_Kp3L7rjgDf1)8x%G#NKvq= z6bVr|bP$Xik|{$9U9~8S2NB3rL?4uaEFuaLtsUX;U_=~2)GQPSLR?{%=ENj5R*u>) zCqqFXTDfZ6h`2%}OPp00G0LC}VP!`1B9;S1w^3<9L@31c%3&IU62NjZJ%u9QMJnm| z#3T#I66maUCzUS|VxmcGrc%`$xjY&`1(gA90=dv`(?}g;vaf&?V51IRhC#w;eS)g7 z4!2SvWtW_MOH5V^|aFsng|l!}Vcp($c3juT1| z6OpJkCvcO|GN1-7E;yqsZ$_8##~i4b3y+se;qDv(7tO?wCVYx6#SjIEKnzhd1;r|4 z9xIZ9ix?)EkdxYxR60bWGWtyUA{Au^&Gn%Ns#8a^)ZXd^^1+qiAfGEMS zYfS|lk?q8$NE$4n>P;;0nV}GaUr~@)etm)&byPGgud&RF8!-vAz@!a@l5%_r8_YrB zN>CbMBhs*FwU?LUT1lXAAzmT6d~|{c21W6$IyEH-2UQLIU@}ReCGGxz(<8Rw@)lLK zsNAS9M#4c0H^IfGV?M0P5HXk?7$x4wu<*GUy3_#5q@qbV2aOU{f-#^{K{8NWd0>%} zOk+fBEnnn7Kmw6iJRuLF;XHvtRPiK|F)P;3awT*0h@OsP!QD0i(Gd=yBP3_Rt$=Hi zs$`DJrG|<{YeWYy$iq5NRl)IuDuoEzW{X6L1sf-sun=|L48`k5^E_dPK#-9N0t^+# zp^F+YWUe}AOQ6d(jRm05!t4ba2LZLmofR#GE|JjrF)M5>n|k#RD#nQREY- zoP2UIWd%jVu^?3|FP4dT3zjY-#XSjsL`;uBNC7V}Y@%DkAzI$&X6xW;r9Pe^W3dt% zDvHE0sMN3vN-vqfb^?dy1ak2K4KW6a$ID73lIqkL3}uKoY^7x)RmBR14-hLBza2z^ z(_uk}MP7}WqjUleI1VS;EOAKE5db3rY8ZoQ6&my@h1S8N5X@XSMrd-BihO;-V>RbR zbad6EOQ48USb;C~&@^$YKdi*kAoN(Z_QgS`77M5x2aSW!!Wq3YDlBH$5vnui(xS^2 zidG0PluKwRjwFmmb5bG3!luwMEPBvK;WOASzuOQ}R3xBC4htjOI0doM%P(f}MLMn+ z&>$m3uv4D`0@)a6^}hu4DGnMAtvV&*D6|&k&6?;OmdTMXgi@JolwNTNkW8a6W+5pm zIiE}gj)2v~QZhi$DKcQCUXM;8xwdc>4EPi@qacX^&Wf*y3^0Q!7!w08QN<2DjHqV9 ztY(5fECeeGu^dgP#HP3e1i&FnQ4K+;fSJHTpctLJ02CAvaE;f-c5<^xnk5`G*$`#A zm4ai&*cN)!%}K8JB4^n!Gsy)p~<4kRYcm>+%)0g|9L|scuYx>t}(%+JrABMY?cqH6DX> zL`^m&9|sfS0;L3=WmVYYVsDNdp-PKfJ3Z+Ihlz4s9I2#=eHmsDPw?Q7L1F=~iFqs< zp2DPv05xF_&LKqDLVTni5theIBECKwG3b@zINJq5S#vh3PZrj2zz(F zoS{hI@eyHqR9O)hAR(gMg2vkM6=KB|wdX)yHB+feL^EKK(UpzH-7#+^igDsaR3iXG z_fwQ2sK!Q$hT;fdS%~7W2|5DaV2SwR3Xx7}_xkj9Zpvw{;0XE*$jE>eWEhdUYE~iw z34Rc6rG*SeKS={3V`zAp1Vd9o!!Z+u5oe2%puEjm7N_DwSR5_mmO>mKCTal6%SKGh zt~8gK!2+L#z($B#DM2nY>-gn>6IXOdVDvn~AVHVuOgbF^5Ma$!|8p|xu5yo(6-DS3 z5*JlrK^SqgI1NdHpyWmk5g&tQ4J4rvj*>g7|5ZaysL_G2#TdytfUr!FgkhqwFg6hA zCt$rYl`n~;DuS>SjsXnvHJ}0~L*eN{u&^&1QW02qZ%7kR0+RtPmS8rgaU6XS#@3h$ zlpKHyNd-zO8Ir`#F+y+%4`9m#Q+zgxZI&3V8cZA*$i=8t@uAGo0UYsIMEBqQ70}wUZZ_5>pzoJjT6nN2W7mO;ldLY11p5XId@AEwA*{^+gqHgb2KvG)?PPVgtntXwxpCjUi#h! zexp3vwVY9nXvC%Gwxx?7;m6EonpI!%$AQeerq^fG<45;Jr*XGdnn;B2$z@KE%V}{h zQM2;+^{tTN(R=IfH~`q8!_)f>uA9kY$A z$MT-ChUAQSoyuS!`ty)Ir^fBHc}mD*1;%{I?WVn*9%o zm|$?E(037D&BUXm4Z^`2fA7Wd(qfVqwH(e47kL}M!;(~Lp_AxEyHjGNWRg{ zCf&{CGci9cu5H~z)fuo2vSaQ>hrwQ(w=Op{61CpN`S=C$`Ri|Ec)q^Tia#3Np5%Nz ze*P}=pOAhg?N_6-?NLcqT`wtpH!7|fc=b3EWuZ|#Jm1RmQ|}#2V&1_^nLtTSt1;m# zh;U1xU~;L>;C2DOUn(;Tq8d#6{O*i9u>pmZ1qcxoR5_j5_mq)X<%-Z12s%RN~ z*iD2wgG$O+s>W8h4RdCs@ISsG9Vh27SFzb|SAx0kzMRf)N+_og^G16orTgxRvB0j8 zP3FD3rQ)^Lbn>EITLk2RxKjW6IE`};xmKqbCvS#$^>@y8&ZZXGFU`kMqF-|#?Z^Aw znd9jqyjPlZJigwf1BX8e+f<%mr@;HrV0%1jLAmi$*5_zyY2B^u6UTnLl0==Om}vd2Q$~`l)}KCxiN>WWq9MQ}#aZ84 z`t*jSObVTLJ)@U!CtaDqfRpm6K`jaGVKRmV-+Osgicbq5Qmi_qV(g6hrH*#7z zNpU5irIYcytCuq2gkSUS7yJPbJX&s!Z@`mD%Hp;dlTa^dF8!^ zp`+J1N>1ckVv)q_+-dl`=hO!>Dy@>Gl{GoC9=VAg&Brq+-3hjjH=yl?)VJNc^j*6z z?5FpuLupkbm_Bqk&RRKLB>Wi|99CNQ#@idmc(`7LRig3%M!-Sky@2cI(2l`a`gh~- zgVBf@{IA~AypK8?U)*?tUo*fxspwF$A4c`+oLJ)*{6l2;ITEPv@zz8Szi;8~9j@wy z(AZA+xSzzp=5zH)i1rWm^6X3kznQG9t$~eT=I_WBn_pm)xX*GuzpbSCXJZOBb4u*F z7$EJ!c4pssKP^FpC|``Wi-5Q_Zzs9fROO}&)kDj%Yklc5KN=&7C~jaJ4K5G3-c|z!6wjZxwMlMWeJX1cB=-Gan>*E4 zN?*eA(jxGMz%I=hGaMAkUx-{Vhk*Qk1_x)m;CE2@$6m9c-v(FL=hN%9_0FI`u8Q1f zr+APd*FV9ivxOS*f}P&FpO^l7UR%eX=@mznS4yUi?-D3uPI|ofB-w^kxvqz{y5BcfWWCN3z;ZSX-g0e#gT+<_$XLh`F)oHZifnb2zQT*hnw<8xl??6ykB2S z9zz>qD|!`Lw<4{i3)Uo$zN0b44bS4TZ zw6F2k&*ve`2IRPbu7XV`G<#cR#(auOxI=%11rJqP%CAx{7)2kUUaq5ezZds6xnG;5 zS+jkvph{>OMS78Z>!!2r?B`ZIZ4HU{{^g%@)Cnh*@V4D$i$vGPEU|d{KvuPn|8`~}R zTu*K@_H3->a$wqXyH1A0PLB@a{bujjsa>ypRkolH+vYRP3P`i`X@5sPbbXQ%AvSxs zsjr)-o^XKK#aGD>iC0GtT*JcHO*Bd3Qg=2Qj`zW@K&+5f{ewl+m;r**s1f|Us2BB} zyHklOiy8SE4_lz(TCP)d>dvxkMa~BcD16qYx|zRWTf53yGo^363umnsi<;XJ<@ny< zf{tllGHiBE&-7Tz9i(C{LCGPu>>;_bEkAX-H5qZ`H0oWzD{isZ9`NH5Ist9>7#>O1 z8>WXr?IO+5?yjiRs8;c9pTqWeDthjldX-T@c&{reIU;psqW7cK3A>Zh3wl3;>2E-2 z&G_ZK6nIqoVTSsMhd}WSj;(N&4$2M7nI9`%z3-=s=S`hXqGzXX2kKPC^o6&qVZZhx zkkadrzChPI^U@1Fvv#{A_03QUjM@1N=iQb#rGKYr@A#GJ;6&l!>|y%o?r0Zw72a?` zNjGaj7bz1Hp%>2BO|!lp-|}aFRMN`)uEkvYZJdQ`Nr%|>!@zt^SnOBVn%3Fvrt+)W ztMDuvgx7o zHS)760tV~KgyJ6LZJ$Q}NJPSV*4us~wQTPTd>8m0h`}j|CvxSN#89>Uz$e6yD-}Lv z<1TNFTgSaFpigRq#5H-nn1%fsd%72D&xekV`I^dM~uStC=n@G_(U}to{X(I|vd(5Bv_Z}8 zo{hDaIaqCwf;V2Sx_ArZQbRT>{=`zxHjE}?3A^8{mc$g4?i+7%*q@&!ydE(y_w4W? zGkjmI<>%c5;f;+Q&5w(@FB(}>GD8Na(_D~bu(#Kgii2Dag{A*}m@REy@LlH{{j6EL zkUduI-geHA)0cK>Xv6L|M9xEwIcW1rMEcMdd$b$JLK69Q>5^pXT>d4a$HbVAN ziYw>Qe^1YI+TFI7nLky8Rre9#gQI=D8E0% zpC`Ruy|kF4&6;Y!4H~I>bJbrJrmutbh#`|}KCT=o|8|9_LAPFy^uqX@na;lVR{dW= zj{JlUc6|94B=yEK*?c-KxvxK%Ba@%0&E!~kX9~)Xl4Ge@i3Y^Y%heEe$#r#leDq@_ zNX?zl+E9yLaBWCzrMTsp{P32x4RKMI-SRaFRcjYEaOyObm%pAYJl_{;LDvI!t3VWa zqrSIaCVG&xw<(JPMR}}47LX1X*3B`@#dujAWz%OL9_;hmOYqL06Mr+}-~g>6gl!F)Zej;BV=+`Db|aqOvU*;;Oj*Xw-P<~FRyZbYYglAma4 zb)}8Q*$tY&kR+8J2d3O-`!t#C`m-e6q0K8d=GJO&)-=EGw=ECQT9TWe)e_9x2F+!s zW(al5p!SQ>{xfn0H`Q2_&Xana?~Mok3)*Zu>*~-`B*80+=HM$bHRn_)v(xa)!6gxu@0I(}mGj;z`n4mpn>Q}_;%;cE zm6x2KFVEoH>%fFC4HuPu512^;Lh~3L8VFeu|P_GvfU^JF>lR=vHhvS z>xkz1pLG?Tt*Q;vn(BBSK+{#leLKQO-*q|J=1phSY)I+FWP&^>+@8(tz3V^X^?p|l z{NQ|Ct(J@9VpOfKx|S2zp~fCg-?&N|yEfgbfDp)~->$7YN>U$uOX7m$AbA+f?IMZ` zSrb@INycxXtIo}6{Pra}xklzkim7#glx;(aPqz6M$D5{YAdDiZ(W;Q|>a!Xn{Pu6QI?XH>_}H>qWFw^^|USI4E+Mo;mDw^=DhXb>}VN1|C&~Vni!+ zXg?LGcQjVO=azW-SX_*{E=mJ^jUKW~-d8Jqni7mRr0Ckmc3Qoi49rh;*b)agHD`YY zX^_^3lZ6oq^%(nGM6SEAtL3WDv)?tQ)XU!cN-t|If^-J6 z>qy`Sl_kne+u2Q%VYN|pZT3g!&kjh|iF}am^1!>lu_trt)-iai-FwV$v|LH8 z@(pV_Oj7L%WcF~2(04dVo!OXb@r(3E#izL^bu*yWiST6Yz+YtDM>B7edvYrO6w@TL z73Mkw34Z`gUu{y)6MZ^``~t`rr!aw6`x7IkzcA2{f}4SSDWXECd@{uCw)J6;*D z-ggwGB3YgfGZ#6wro1>+CO>T~NN49sS>1_k@0Z;loVJvd^Rn^d{1AWch>$Qd?)v>&{2{2ib?DDQp%(g9vxU+d|G)q zHKWI`?0s+k{nD5^uvf{f$R!x7{7*& zh5w$<0h;{Ump!hWxEg!5%JB4{((=!8x3F>6?|G$rd>C~qTrD9@n)@CQrf#RDUB9CD zj<~BHyX6yN9k$NL;$BHmHddg3b~5u^QV9tr1#aIe)Ek56DxDNg2nPGf!87Rb2H1qg zDSU*rB4U59i`_v+mfe~B+#$PZ*%#hsyu<`G&@hldL@)BN5G;P9^NXL%5MKCQ&IJyu zPs|Y-r&gs7$Z9B5%$!h|qEg7BR@}gs%bm-Q>dwy?;N{76&1GO5| z-Lcih)YJJfm~)R|@Ep-HAJW6UyoV0nsk%tg{-RAax|?rzkB@oa+8BYz3)UGEi~V^y zJl0NAyTR}^gzRAFtn{cGU0_1}AhqLDYdsf+d)y)}wBn5YEAzV4MP84`wW?P2?DUdR zW!_Y#t-Jsm+ZGI2{UOpab88Jf9<|;?NRIX{u@!>qURA_>8M=$xg-ZubH+!P8^12V)4g^n^ZV_gUiWi%Ug#BFMR?yf=-_Y|2}~_B;-7ok zg;;>&=p=t{3w7KKQ`~B*7`F7lr6LWjVxEv1bE;s#N7?c9y8C2X*dsJqm~ z+>E|1zwlmn zeVf*P8}wXWNa;-8OpGQ6F?~Ul3``2sVmwOysIc-mq4GaImk6OPK zqr=G=Tqml(TuW)<-baa@7?c+e?|tB(-^`g|(oUaqt<}B0h7-ecJG&CU*?CC~dcwT9 zq}5#jx#Mk04Vtp{x?e=Wy1O7)j}l=!*9fbRY-`n^CL>Yg$D}l5{HNS^msop?RdnkI?}#I-J>s+s40 z`RH@4yDzDA!jvI%UzenZPtFV33v&qKmgGrP$8pn|o!^6NQXXTq1_cqh`)-J75S-`* zv^B`>cVxSpgx1rpJ)%?+wlcvfCV=F{gBafJw@abas*td@F(y}|MxQ(wJPN(&G zE0O($x;pUVv`=yI+|_rx-Tm}=6gJ_0ZTU_2@A40r;GhDY>fh`ThmUao{x#m6Pd-*3WcH0n!kC6|Z_Gi$Xe zEPjK|_nLTPX0NMfD%W=NoufO8m@bOn$|2C*Th+55{ePzf*S5 zULnKk23kAfv!2uYz54UEg(5+o#L<+#)IS^S;I}JC=U_&`SY5AIyGQSP*y{7st2_Pj zAd)2qmA3D}T)*o*KqBG6Thi;+=;jO%=s)4%XW(d|x3M?C0EZSVh`ah7Gs2b;MO^Zh zq0-nbGVXA@Nm^;ug-(WDPiL%%Fo;bDQB%jcPCU+9>E+nj@;FO9t2!y~#|P|n=U<+` zH;Wr(?i>4cHbMewWZU5MzMJ=3tITv~lf0q#gkLj5uNzd}qE;XnHPTgY<4DiHp1j~x zF|jUYzpzlogUa;QxmA6`fuLr0c8TlZzxydSC<(pBb|1ca zkImJes=G;!;rmqSLf1n|J4~>)n}^}Xe7Sv0x&(pCtd9*41HS1fWA5bIvWqn9-@^xp zdQkZp_g{?lpMjp3ct~6y?$py`Pgh2E#DkF!|v$NL#h zhevPSFL1Bb}=DA5wLZkGPvSua&Zg@>69c z7*@z~E@6$}-mD|T0g zFSeQ;+HR+U-(m!KM}XnCnNdD{`yS=xF*84YxU*?-Pyc`|EJTavZ889`1gBg{lvjVf z>;~4?e1bVJ@bQ&8EqqUxhceL?nuCJ0Z#Rv(kh?8ON^V1-t>DkRNjd2_q zG*ou7nGWW+VM{n3N(%sIOlI49Dh6XD8sN=dX7>Gig2EF<(VvMYPTd#$Kl`EGaS+s)#Y8~eJwSbObP=|sEjdN2B+Rf9m` zz~xL;u_!qx*&$K9Jgn}f+VZSZ^(Rs%;ZQk=JZCXpyDjCSI;xT_4`o=vO(z4<~$U(8aCfg@jGhHZm%78XY6ga zpnz?Pp2u80v|o$2^~=TIY3CNqI5tTm%)*K{x{ZmyN67T}XX;5qP zn`#HA+*>t)EAt|=-CfY3w(^kSO53s_Jbq7J%8I@GHg(~%9|x;sUiy}|kt0B+; z2h=rQu3s&|u7$O!q4;g*OGM9^JuE@Z3cQ^g#3OUB=R7%|RDwzhODWHpAA)^Y(r|mT zps_u{OyimgXC93>?|*O9s6VJ&fAwho$3n%ZKl;qS^=Kx!|G>Kd)$Ag4Sp=wNl}60S zZfa+{-|f6Wd2D-TcfZk^R~t82L0dJx&KG8r28sz!!=VA*W%F&4Z^g4mc%bl=UeRq; zP414aJw7^1j4L2)MV4F%9>G&RG&cB?95BtWWXz3-e) zsaJz^hvRO4jgG9x*2##VLU3itbu*9Lp&7+5RLQ@?W%J2mXt5l(6^SeI`7 zy}HmN)+2yCHrwU%?7iNkQ`CsqsC5aTJ$Vq6Pxlg!tjaMaS0`axv~Fa@gKbRKB&frw#1UPEO@|2z)Y1!yCiW`eolcQx^>r z4D#G5Qmhu2GcVnmN_@poHuJtOt>8#mTrJPIp|P3v=c)Q;+oDS)G!PfJ4^Qm$hqdRo zjL-cretr%%aePcJ>d9_y+RUhH*_5oMcs&!R`Dh=*0{CD*J^>Xf8w)cp~079tP`F9PJyWY;f|7e%-&lTJ~|T72P6?I2?Nqy}!=1+Dr+p}8V7yxv#K z=lDc+nCiRwr~rNYXfju10BL%)X_i#+cx=1|7jM~_n7zBscGp^TudX^zxiZs1m!>D!k)tfQhoD|_m?3Zq}Zhps@)~>GSpA#}b+D2y+ z)n@y!JG4(_b-gXF(n{g(?v5v{N`UWRl#V}LtdxS*>j`Byor{UX)V>4DWyXwN^9p|1 zlLdcBNQYsu+&JZpA9H8-;~m?*uV*1!stp`vVs3Pt1xmUe)e@~EYslK)EIrSv+8^S@ zor+~xFbcz1$&}H-_*`84?()w&Dz!!r*OM6#SdUcG8$0Ty9ktfm#e_nP>S%*Cjt)Q( zem4*L+8Cyshut@|Vt*Xg$J^(G$LejnPr3G2yfejXCER4$b!On?VP;f+H@#PbPr1{p z+F?yFU^fP#pjvA=ZtJ>W7n)g}uR8H(GHp z?`lQjmcL(W${W4P0GKPQ1zT*cf`ZqH*V9A z?9uC|AB+yCDBd@QZPsX(gYmBha2&O@v^e2I;UV;vE86D7&9Y#Inev@srCZvs6a;YN z(^h{BJVJvi=(KBWk^PNfdFqy~TH{wl>Vt-3Y0RlS8{=%rs`KsXc|vcH7q*ACJ1pXV)K% zdk`K77#BBsc)g~?Xq29d?b|+EEFK3?{!_tK9H1>``01qcU4KacUPdaB}BV9l>VTNxrdLz0tdo6*R83JD|oK zOI?X6p4rhJ~3fe6Dp40T6d4A0oU8rX(h-Vf}9uhvU3)O}b(tEzphoXvfA zxwGh=Si<4UZKH+CvdYe>!(lTe$|o?AqjvA9DQxYIr2<<)amki?tI_}m9=~QuFZqu? z>yyn!Gu-PIF=|jlt%i3`R_Apt9PUZUQO@(x>Q1lGc6ix($qC0Um^(d=c(&mmjACQy zLebg$)L%Y{cpeQfLoac?cDcwE&NXwDet%8WLW<|TKH&+FvM=OqaWSXV7ToFgzwcM4 zjU7ciZHiZC1DvFX%Ci?M^k>qck7!NIqy=IkJ9GGXssM8{uS$K8l`6_wC)*wFeEkSNSVPC1(t3BwpHcwolC3;pKiZ}Vda6soA zh+V7n<+bVD3_=m_d-Ex9a;!&XDrwJuof11ezE!z;btjBV51>pp%TD!uv6p?JxM0)E|JyziMFqfRz7}l&01nqp`o&z~J0} z*#2zlrny%z$~B5=aN308*kEhY7F(cD5y2&`BqF4?Qq$;pZJ%$qI`j#tJqmEgwdVuJ zp_jWRkX{H9&A0x&NX+~CD38r+y1RAr(WQRF<;}HK6dV^{PZ#F9Plvsk(VklSQ+W`5 z!akX%H7M*IDnduKn(F&Eo7|c48+U5B5#8nJuxyS#!_>YsH%QEW8@=CK)Y5mgqLjoG zA_6h;!tvux#ZX7TyZ3QpuA2VtTpAAEy1xmb`U#MP@y7#i>Q}VJzbx$3pi?kIRTWdM zBURy=$j4RlzFbVNSFE`!Q$+1Lf(B7>1#yc&TtKbaSexqI1Ao1L1iW?n3ON{AM}1=m zFDO`8?e!IL#xrxaZB*xWWt!f>8B5w+fGpdzRT(jfextNC8?DY{6QacZjUtvRIr=NdtO2FWxFTL9ik-qRoUP|ab;@W^GWxX!D zV{?u>yFmn%x$aT)#3-nU%wUIy)3>MSYwWZt+wDVTFb=AOLtJQ}MaAzf#@r^L9!92X zy#j!I(zUaT3zeTyZ<=HNDNHaO5sdFN08g*}LRhV@kXyTQyc+C-+5#@&T>a8R*URnd z&37*?Hj-9TN^fx)^2^OR4c&iV(&!nSVy<@KrQ~wje0Tm{Gk#CL=xW=RRz3sQvu?o_ z8Vva2ykF~WcK40%s|%)? zczFpQyD$`?E&Dkn8cKuvWmon8uY|AFEGC}PUR^?U;9FSKhoy{TGCyKT26grP?H5l|{g;=r;=^<}{MF@Jux6d3t$RTj1o3kp7^9y+( zw>bEHy5!}p{;Sp7A%+sY43M6)RBRzYoS~1%P3r=T)H%YmebJrMSydae9Mo(tY~YCe z5Vzer*bM41)W$1PW;H>Hk>yQn)aWB}%7iD$Jk066wux~tahUXRfHR)I6~Pg?CB*T*0*k3rbmIgw8s#KYj-<{V^k@R->al(>b%D{pJ@JqRv{nz&k7P&FtxTR;Y!A zH9Tlo5x*t1_a^CEo3gMS)buPN$I@thFXpK+Ybbg30KlgbRo-vg2&j*kv${pl<5S1& zS+@|evjh=poeiU(4+evG zABE&_J(w88RFg(p$sCRh{w%fFobRkO@430xq&_~OMseJ3&rT)N(iYZG;34mz}@ zilLwLLJxI2tu(eP5Zv}ez0kgOpPjjn;H$^`*d05;8+E6(I=`A5*S$`@X19x&)2+fH zXV&!)@cYn(sO#!NdEgR6IY+u%v-K`u?*Adp) zB;efx zK$3a7i`NU_@*ZPfX$U_p-NmlKf%k6mTA6>fZV=C|UGg+~O$!3OjX_*y87AOkvEL6V zQFCqa#rGE6Tw|N=UM;!GOA9e~)~{rsh7^c_lygzDB>2Vwzkjm`0z-gx2OS?Ui^y`dfIH|x(@)g9Jm*jSK-8IGlOfrtKL7W@Zx>@P~G ze-|wONSUtn$0+-6l~M%NCjO^s=f4Xk{<~n}zY8Y*yI|tK3nu=57fdvpp!gEN^v|^! zu)by$-bny(`rq%J)*l3szq)t+u`4E8e@r0$*1bcsf9y313W9OksmBHYptuEXSeY=4 ze3<3fYc`m^MkV1^UlRKWNP^r0Y0sP3DZ3YyNEW{uRWe{;FO%OA62+u#vazWG4;S45_<6;~&+M`yI-lHDn80t4k&(C71kc@HP2$8ug_;JnPTKProQ0T3bw zAZ3>g-{74Jp1+)eMHl^=Sx?EP-q?ms0DJQEBd4eIr`1^R*Dmyh%faFH4yFLwWcF@y zy)o{!!9>jzy#dAV>R|wS53=8ulb>7)jn>m8O3EoNUD{WD-c2Msnyp;1tM)kRs1ARA z8Cz`1&2;>2pd@(lnD1DF#WEa`v|+A)Xf zDjd9W?^Ob#NTeXCBUeSJzN;%I7wi_g<^n&jPP14CczDkCm0OC8&+UpAy`l$GEaR6M zh*G+HVSy>9Wdp}px4K9tWQ!Pu)%4b>9(O=M{gpp7TmFfIyS@?@L^UzH?3?q9-=@9n z5ElcCjKgnj4(OYUPAeX*ueg=^hiD}Vr;8f38~Nw5y=tm@7JH|@4`pX$JpHSK_6J1d zuMXNj7K_{Zqdxsx2aTlL|2Zq8Z<>cZ5F0?MsZ!4VDu6|B#v6|6g+N_9cx2jqnhY$I zFsOg~3F!Q!6kp3mCJc}gK<0skJI@p(>Y~O7c00{avt3QH!lB_$lKxZdHy(N0@~LA( zbNl0kyjx;l!ZU30s!eux=$bQNBStUGMYBZddC!EbN5p$9g9 z|4Ja#*V)F05U5#xO400NVhL5ZhWFN1t590chB| zI1gT>Uc$W|H?Q5;cTe-K+&#yy`4?zal@HEk;NN`FzrwsgFM z9V@q1Q&)4oG^z{_ZE#vIoZSce?7p*G;*h96cnXDq8bvJ>prMGt^3`t4IPrZF=uTB8w*7K0Yk+xJ!w{tFdjf@oK*5YjHY_CqPxQL1S2)04knEwA2M4 zpJfMBx7O1;uSy@FXl?h?<@~3W=tCETlULWSec%Ww0e`Wc;9h`?gxR6Tq-U$jn^TAa zx~kr6f19s8du6M@@^J-PaatV=2xFN+QuZb|d`#!(QUwZk(ieREGPS5MO?F-%PxJM5 z2y7b5N~zj?p67Uw1KKVKX=mBv$3gabP2()nJ0Qd55Lta51TC<$=kHLuOabM)2Ph!u zU2Aaec(3kzBQtVYEQKsJ8kcNy`uwb=K4o0D%|fl*`!1I|c7(%6DoY{xvsq5$-SKrA zc5ZNOeHblZtS4DlAs-4)WLi3TlYP*=NY^uo^tqGc%^mHo9DeY5-2|RG{n=m^)s448 zhfZfaFHwuZ=(}qGv8)*ss+AN#d3{(+*!J+<+*pF4EaJfmZZ>zt1~y+P-IA=-rc3H* zz68J35jNcTJIW`=>TQCaFN@PaMta9lOX_tpoGmX|o3EsRufuj%C>~ZEz+WFDY4-3h z<<|vo2`fT|fuD|{%Yu#ijv|^unqztz^oNf?EEZP5Sn|0xDswZrQLM`&x81B2rs}4( znT=XVqvv2f7lEis4huw~w3yDMLj6?uicv!5T4UCcnqXXAal9mHQm_hJ=l1vInN8yp zChm`|yz8%;HM@!@R?+(T0fF50W_5A0!+ z>~|iOyakZEnNzlS{cm{-LbY&f(GQnBmZ@@qHT zwz%(gSG>Fp>KC_xq`JN)`N?WC74RN|YT{&7x_Q*=!n`Tu?L73Ic1klPLH$b{7=q{27EO;s2w`3=o98lE?>GwswVqXuYm0IW0Q-5u(Ypnf_VF_X_-Vd26JXWRaAR#L z2=$t6J-xd@H;HD$Pw2ImE)NKjikxEryL-H-t4@G~Bkk(My4FeTXY_xVJF_iSwP?$J ziwa@^0#Ybai3*AZV2uhW3Wz8u7XP2?+^5{Psx((%D_ zo`U07b0!Rq*9ByY{`aYPt=Ui-x~fU;TIGk-{mGFigIMmtt^@%v8>riq_WU3r3*_me zY{l#;Nu_BR*Y_}*i&<)hww zWxxCT!6I6KehEpBPgB451_OA|&!j4GH;y4AD$U+nL0N3!$3y1PdrRDmW6tc9q1xjX&7^1b%U--yYJ`i{!#Wi*X-vZZ2K2$*TuG6Y>v;GzDQ1_wi6P0Vw zje_@#vYPc@o#y6nRE&z^g=Dza{(?K8_k;D`2cb{NE{RQ-%6S<-ca+pHJ8Wb z6nfWRUB6sX+_&p4_f%!_VWRTr@B{7Ra8QD}h0Y!u#*^oS1VQ#2Sg#%59}|xbXF_4d zwXPoQynQ@CBG6yy_%y9GFXv^ik%yZTDWtu9|9^PGL&YE=r4EDKX5F6 zJ1YNYp`6SgSL%OvRBmy98YF(B*?=+*eWaQT^?-}Lk4u4Wk9J4-k5O{s=3f$B00f8XA^lRzMXXxSmk%s*xy8z16(>Gy3;^6}zh8LotQP=9TVZy+ z8O8Jp4#zTGsNfuVor0`%T37j{!>%wFfTI2hN!>E<`QZa2Hq$9%wP z`S@DZg>p6uCmlPNpG}1c65kn~#n*+N>&0<}{GD&t#c|j;$@|oc3uU7TdmF^895bTz zdKib=qSm-F!$5$w!JTj1TBdIq)ap%MKMBSDjvWfV)Xo=9BbLwltH>4`r3Rt!{;(~) zX(0p4!RihGGv!+eFYno{n@%6Xv9~W=fj{CULWR$1UNP%Ole~zGihx+CNT83KbU8sL z!oQp5*Gp)7i>S@B`=is~R2BHnaV;~q`#qJ1trgsTWxM+nx({j=%L7t}=d3rU@KDl; ztFTj9j#8^Nwl&@swYFqz9>K=2w3T&U0n!Vp_!4w2u3@)$c+CcTOg#2N%zc3ZK#jo8i@^x0qA!)w{pn*a^xRx=5}6n?}>E%!gq1CTa1)wXqS zJ}|P8qjPmSJI$1t{?e4kWYs(aK^>8Rpj@p4&KW_X1p6FdO1A7hW8eMi%PxzuY=h*= zQeua#AF^7Mi%zd_V_H#O265ftT@c3rUp^lez$|5io^G~%q^qsn?p`5 zmzTSTs|?Ns^EIgDH`g1S974yUG~B`W&I|6hU%Epe6|bwGR*7F(3K?)LO_)+M9x8M= zT|%1%AcsBgV|&r_p7&0+kpN`{b33opwO12%0*V$vxJ{;WpzYn6(mlaQsVELIhf>2dwb`sntw8TfX63-H*y>S$$uxt){h*#li8 zlSe7U2wmvctR~#-)uBSzDStq6OjJb{cLW zcwN1v$xp0;-!CKn#d4Gd%}`L#(?YLSHCp9$jV*BQ2qWlLx;$44I!GUv&k&&WS;@u! z=q6%E$8&3XE?)e!zyI{RtM}>xxJW2|t*wnZ*Krf=3TvO_^($GZKd(5mU~TN&GVla!}V1PDl<@~BaR%+$@E zc7dHMNPVDS@ivPF5P?_P&CY3rH+xDv&sDnK1>c^`rwX;l?BfgI2$N0?fr7fi>q19A z)f1yn_piO?;O?aBEf7aw#pne9qWPmzd2qEvEa%ZQkgyuII?_H@`A6%tHzw7xMd`1_3Rd2-lC?rv0WmzoDz0}XFB3Uy|r@Xt-LB&|UGa162t<;BEyHGb6U zCl4Llxsn&{YZasthsHA62w+GypyjAP+(iA&)*T^>Z&4pIpYc3`FlpyH^j!G83X0bI z5w3}Mp zsXq}I6u2KWPc&U5o;R}*O}SAZ-Rd|;wxkFP+iV3hYPq<7iw*uy*n%myT6!k?U zlLxOz@&dn@cUFyly4;aRHo4|UQVI_io+?LXp=)m$Y1{n|jERMs8jzFJP+Z18V055@ims^q7Hnlhibv9OuqFLHXIu2EFfXrvbW7b$+vo4D?>ZAmaRmRrOBc7s( zWCkohvceckpS$0|U%A6|dr0|GP`EOcXMU0%Iw~22OX26pt-L%m4oPE0lan^+Eq+Nh;*|ax+qv*|LrXU#T~(-I2XTz3Z2GHf}9i9cFHa z;7_;&0Ymt>}kYQ~JKQtS7;dP8L+W+R=V-hqvU-4aC#LC&fs09g9abDgJfQ zM%EI+kQjs&dn#GLYAAK2=aTU=H`4Z7wVdi&Sazh*m{48_FJ@sVi z3-XbHa+#6#vzW|8uqOeh5^5xZBD48OffZr!2H#>>0^W~@k5@tA)gS~W>Em|X(orAW zYP%Pn{ee1sawjSyH7Jh2ckh>}wyf7So)P_P0hcnipN44{bNjMAs^i~NZI*k6LzRgn z#@>`D3M0@pX=+EY6E&jghr+I=U$4UYZ_@z$?N@tqSnmilv>lfI zBnto8^b@?XTlFww(cMRf(&AD6CQ@_;4VL~=W`WE4VewjZ`of)lII5lY--c@i52uHV zAMiq~$L&rsIRG%=wt&r_`%yq>J_c5&Znt4r9ipwsB7a@cBnbz`Mc?(qQ<_l z{h{u6fW2qWWU!9;A`x~YfyRd;&_O~i^XwG+%*%`&rY;BZMM%Fl;!tyeMg2>YEW&~IH#rzCz~ z^G~mRawHDk*N4ZC_bAWex6@+)XScq6dsUKrB;pcc=-F%A7zkTYt2uV{bvYJIb|sm5 z5#XCIh4!L)GuP`XOl9)1LH*=#U3UZn2Y0p1HKsJ)=EAg`)Rv!)UBamH(b}TP^YU!u4Ha24mGl-PZ1y4JTec&z&?iv5h!`bQ>bKwYmMC|J#oxR*B_xLN~ zRex~#M85gjfI3gA3~4dY_gpf>@JMZYLT~O(Y9&!UUhln6=UW0Zk?;B3+j*9@%Z-#d z0!CVKvHbSJ-sQ+g)Iiz9v$szcmQ`HAzCj3w&`HYtp0$b<(v<1J6pG8g<|GHRhxtmr zY@O!gv?;dQlT8`Lc=6au9uKa+sLErei|lTG^Z72MlVx@9N&xmd=b&=QX=vhOB6eh& zrj8%(w))+s=Dc(0M_S3aOhff(Q(!dMtgXb{DeZPC?4A_v7x_S*6}gIvRx3jKgMm&q z<|X@f4-VG})K+*k;>TH3o~=E5s9;yQwPqIvX;qddb8~+UNnTaSOQ04e^mwZ`mAZ*z$$PRkl}NDfypl%hsJGZJT_?lhBM3%_`L_kx37PK)b5!OAl4 z70#Ws379H(MX8l56!F;A$K_H*yUsiJN9l=g*y>J*kC9ZMAozsiFiVdc1PBMxZh4j8 z%=<>brGur!6t)i+@chnJR>~nSFySxkWCG^%+KZ|D8WU1?YVubf6vrm!8Jo$%q(s!! zHTayn#Sxb%B~kv7>VC+plW^$bFCv44N%Q%%MF*e^)BQcf zNd@YyHfVP(G|YJGYwi83xVz*sDcRt+v#r6#=xQBc4lUi{G z;x_cfPRrkw6Dr>AP1T$>sNrvsH~np^`dh!=(hbP7y6_Ur%CV9RTF!IH5K834+?|^j z__6G~gQ`_Yi|>{oasi-snh*d{S~r0Y(fR9%4|_Gs`MT1%cXp1MXQ2lVCB+K02h*n{+w2m!aE;cKQvvBTjS4p?qafjZFz=UH<^zcDG zx&W2evt^Iz70$zWd*ZbYl}2N$lshFj#iE!at6sX@+&09l_%ylqHJNR`v|92=t_xx8%G z@k^;?#{R7)-Xu3~k>&p8S-~$*`!t`Z#GRc7!TEY0+R( zMJBXPcu58a%V}-HPt$kRP%tqqHh#Ng(e7){#lvH9qf&g$uT%dmBa7Z^hFERqTpu!J z z0veR#`s6YNQje=WI+{?^{T>@O8P8sz4Ki)ImGAU0xG0hQ@N)NC&;ZY=2mG7~x_lGo zXXQcfAI{~){zgh`#ZIXq>P+Z@yFP4>gND>&FcY~#CG$x%oN2P1r}pnWc`NmHnGk*z zR2_n%Vh=JW3uaughKtuyAWp@Is3>RL+*kWrxjSgw5sza=H#tcj8-7)Dcb94boCV6O zAw;0kv91T}-K=(7^!17;WSeaXzWK@IroD%2hz5{n_1QrV67O6zv>Q5m+Mb<;b@6mkGGw8)LP`L`0K9V@ih8a(LsJZBLa)pK^V?UC592n#JL&cKwp4XT0~{m22}o ze=j?+(_VnM#s1iFx`f%n7L~CfOO@Z+^He1vFD3(6f7YZANauLhhlFx% zf#emsb%=BI2ucr%TjA|oL)9yZ86A?^0E*B4z8yd`9hVO5=Gr{bn_{1}cymt!&%>%9^nyX_StTXl zuTVX(Dy+DP9a^uo3leGX4Fb95M&?f{2Ufk!7`;Qh8Q*Er1>M;tl6-SHqGllw)jc26 z3D>)Gf}uY5)4V%S&S7vs$eo|`r*+-}$-e+~Y*1AuE(+z|+`*{2j9z|OS|O8NSJ zy&Z75RkR2FxH$VIeOJu%z+3ovxSP(Vn{*3~>;-?kOI$^wD}ko>+0Z)KKOMoR>&54zXW&&A-}YZG7_nl@MBaop-D z5(Wui(oP%)U1AM9W6eS!OS|cI#p?^$W6o0?h=e{Xvashh zVn6NNihz)A)|azII*iS)(*aZOT2OtQQDPv!Innc{Pb`Fr#cvbCX0#9 z??3e0f@H9~RsHttU^V%v28br&xKK7{GYE*+_<>kk^UhyHlV;F z+An6+Z-W9QQJGCa?&_8QrhSEcl4Z6l7lMKOrCP1CI}C5NTw(_#+^F=9jYX*ausqq$ zl6vFKm|!qfp5eAV=8CWFcO(;?(q(;Uw#iek`x3}r{-i5vwfJzB{z4CAF&vYn%k#S; zhcB_R{`$Wm2$BVrJUYF*$z*!FISOmrohBzn){+vy3+6|%(sT7+Mb}^Xxb4{FB=HY#=1_On=Kwmw*aTlU-kX6!FK}WTGPs4c-{^i8-PpSC-XOv_9vy5BzkKxw8ImE9b6f7CR7z(^lXaYv z>z38AHdEi__COs5Ku64sW=TnMlC$Lz#r@|30lLcwHs3XC)E9ym(7Yuh`SU=5&_{Az zs=jQ{Mvc9ehL!BWO^#DI{4M)!>ZKo+xkT20&y3QgMO??E(3QA=Q0>z97Fjww z@5CM|IfL`<=)sogzLVi=e)>Qt)XX|qv2zcE2;u6l;CVh6U-cAZ!kNWA*yAricrTzO`Ugh2>=KlrGYRwt&s(y+7Iv_gG_D z1J&2msspaf+fCjFvk_=L{Y{|KLbz=<5Nn6}U=a5S2Lc(pm*+sf29>*E9Iws>^3py& zrgf&_#4F>^Ywg;dMj%4iP5~kmGCS0X&y;yLPol;kBo%x?v?EoKhu%0%g3 zpw+m(2Nabe2!k)EV;4i~-(B{t(|x%Gy#T{*=f^Ym)S_!ZZPN-mw{|g(*zrWx9ZzYr zwjRmT`+IlQU&RgVC{(uXeBF8#i|ArZYzVsIZMX{ZhTS!kC{B2K8TzUzUyt9ShTq%@ zl-J?%{*;5_`boQ<3J-nh|JZdEr4J*Yoo`pYjb|-7UuS{9_cLNjnPRcuiZwK1 zGa1}&ur56Hrzl4(L#W;r7|b5bMaAqf0P@S%&Xd$9HL3wnH*=;)~Ns) z!mr@zE_{1`D&%#POJJ#t3ucP5ds4h>pjLgbd0sF6<|V_xYG-n=Hvv-jR>e(WHv+M+ za%wLHp)~H*-+MZBc;e#SIwk%DCEv_*$X|6aSnC8c5`GhDhtwYaNZhHs{0Nyczpbt3 z!n)_$w!M5!he!O@0r{qH034U;1VgUX?d>0Q&#v^yu-BUrYzs8tb&cupr&vce#;MFS zZ`CxYg5?+~1IL#1uoUAA#vu(JAS*VE%_uhU9h=&1%M5=j5_2Xt*fY-S5ypxgx zES&dLk6ls)6?XQvCGW;xh^LuuS&@E zHZEh(U^~60%YM4!w9mz#eKJ(gM4EhMRK8wHB03P!-n%|jZwn48Xn6)eg~~B73yW=Su0mz) zR4-G9NE;R>C1bZP@qJsH3U|wcn)tS;SpN1_$WBQUZ`#|_5J9}I-38P9S=rE8a~}04 z&h5~SL#6vxXMi80*P0MPqw|tgAg8lJZMU+z+{ggO^ODn)z=q+}1`DP4_X8{jp=x1q zo1bzPQm)PI9WX!AN~w_DQ>_k|OE4 zRWopqS@4KW{k^$1YGmh2w^ky@-cBt11-{%MTj0sz$m=6NxLTh4<~>DhZaXaM>>>_p z?eO!(>Vnrmv$FlAuX3ilDkV;eC^Srk44e`~IJVFbMp|E#DsB%x zEITXzTPxo|QD%AyhfAG_uh@O*Fy0%+-+{ntU$j_UruDFv$sciciK&(F10jVbI?H~t zTS7f+qOsl{W@6GU^~W%g5Z&|RN8kJg^$RM3=9Pf;>tQa(H|k+6^QZGl^kv%a7*U^w zZ;L!CZfYI2l7hJH!I+uRp^Uu7e$xA{mo=*`djt0L8*J#4kyhp`=eysBHy08U{=Gl?tyLpc(wxh)|6=8)(otEuEVEpuOCXXeYXPbjDAM5 zP8yqzQhm}?d$+$#TcrXiw$rNE6%Rpwv`vA%q6lu;xsG)R#Co7?O%(%2DGt{x zd;i^TODCv@=cC2ry`V;IWOXUtLORzna6R|wOLBg51CFB4_Gxary=rs-<$hoRy0y4n z{O*nmmyT^M+^4V0$#udPx+iN|<)#KbVG1Wy>$dA_tfM_7!bsE>yPZy+Xkps$TaB4@ zu_YtCUAs_ z-6Ag?C?i=^0_{;wEr9_9xsQqXHF3BvKu5cFd7jH^y;#^1E-AB4hZ1^z%ZCIC z5lOjcxt|o_3tyLx%j6~4Vy5JcX1AoDDg%mH6G{1Y>r2l<)+?E4P3{HTK;SC$Z({Su z`{46QPLC(Vwyp+IUm+k}+65$+mUD*ui#B+Y35XM=)9%~g$I}w12X(eo*#;b=-=m+I%xAyI^jlUjz%qyZ4;F7c$rPh3JUcs=v+qCRya&kq#tUJX$*& z;1iW}J4JiZsvb_r?=##fP)a@?3pu~%GX=Ktx@;CNuGc`O8 zT5hiS(qU&Uw%Q^&(0rYtV{iEQe_wyuKgd;o8QA~NCG$TyuxJ0+H~hQnZ}WfGc1zCx zO%Cq$Mpz!L(0vnJo7y(C=E+Z8eBS9HxnXW+zrm>^Ujr_HdJrqKe%#>eg`|J7<(1Lx z9gEO6%#V&UtG=>9x6!{86I_oOCr>z$eK=03z!fh6iQ{-Zf93^%wuR&&rN2#<6Cty) z$x+?48vI@PzI?Mb$Zo7u2^QPRn!~7G{=hh5)TXHYnOm9cUIi?$(GLqpm-EgK z+b#DDcXUwhabY&A3XgJ2Z!QX^bs*g9CNZ5euuz9}z(*m9m|0x{5)hVL0opDa-aPy* zenK#elr9n7yz9kOMh`0_MDO@@2Dp4*SkNgc7d^ZY(p%=65cqK&v~)L$lVjaxJ^Oi{ z7~EaXr-xQH-2#?7vsw}5Fmj5Mv3`2COJl5NY|?4*==F#eRAXz2S-i)7;iP3o)C&c*7+^@7xvaWRQKNWt{JHO#xkJ_5JHwSpbE;k(q zhvU@Y&!^vM@T3s0Ck)0jp$P)rx|*TYd9Yg>q!(>4BDg5+57zcoy7B?{E{Jm%m?h>>avWBAGB9fPcE07^&Uv)fyJL@+DkUEv{FF&b zy)OMRC{Q>3V(9YSmJLSjZ?+A^Q^1&Kq9r7NwRHxdvG%}0y5vYNg%f;GzXxO(&V|{w zGN_sa)Umq(fL<=&L~q@|`T{_eq)S%Q8^d`=2Ku4&T>v2MpgyP* z?fZ%J)aCurEds4flR9~EEFl;$qk&xcp$~8N+0KBQrLn9)KqProGa>oRCM3+Ime#Txz9{4o>&mb#ht!vSpe#xFA&4n|M7g-G5d z`sxf?Ot9K;h^FA+NY8FpdJosLm-!qGqKgT$pUR~2JG!!1DHBBac;JmBd;iPhb?YelvTe{Z-us|U@Zo1p+#9K-A`fujZamPzwjBd=f8~@0)V^42h zEw8KX(4RXkOhV{PXDQycw(r?57k-F(yNefi7Nti^ZA{98iOD<-b=q8%=ChWIGxDz* z8+Z+%Qk~iW22kXoK#ZrEqT=~(W*+Ag$7jFo71y2Z(=4AkKwsPdxy0(q{LR*T3Gg4gXic&MJq|rvuEXV8s47# zQAeV0VwLSzr(fIe2M$cLx>ud-l;w$_dbh4~NQ*Y#Yu9Gk{$!puGJqiN*e4=RiOJxu z$X{%XiNi^jLqte3foUA93oXP>EcA74@w~TYLzvWbMqnl1U+JrTsOe z@Vx{ij_-(lroN~>qJha>m%5)qP8{!!jhsmB%r-T8sE+j*6C9>$Y30`lgR|9KFb znzUJBgGPG_UJ70^>t7IeXx(mdx3e@B4U`)u*t(y-mbcf!5r0tgUC6f_bj*R1+8Oq+ zNL+TV!E}jXkq79@g4J9O+ALlhl-VKVnag`we@7?vx+1EBPAqb_$1}UsKG8^W&AQNf z@{2~ccPGPZm5avl#9+had9s_Fvq7}-oUX#sS^yh{YBz}t3W9h-&0ZTpWVN>cd(bU) z_x;GPt2wbqD`*Xrn<5P!3b+bY?yZ(C@!-j5?seNHGzM=nlj6Dn>?YXiQ}}2f{L?Ju;Gp)_+5clJS4Ndx)&U=G%fSNI@2q!3uyHnSxd0&aMwF&XzZOA*S90AxB` zN@&8ws3IOfUVvGa_6q@zvE6352Rz~t_ij8=ecpV--)U~fne8^hs2ahlZ&fkQd;QYo zm0BOs=8I2fY=Dl3&2`Y(m80;OA6^s@OimwnFLq|O2iVHb@}05RCAe4`uF+@ihgb9K z0cUgJv>7!Q@{>Zx9X`(BO{L0Du9}4q$I;TTca@=!;*xiMY!;vARhC6pjfb9fC-?O- zNc>cBzWB~IYKJ^YBv{-7q?_TK7Mpv2)1P!$uD{VSt3Gi>uYiw%YEMD{*bRb>-co}w z+oNe=c~chSKxj91v+ih)@cpTL?4VU2?h~I|clYaewr5;-MO6j5D}`NSakEbWZ!lx- zTSF`p-ipM9+xOt~sO68_p}$ExVB_RM4NmimWN~ZX)L~^*y77fya@8x$xa}F&*4M_* zHwVx%=l3u>QQ~S@aDSXI932O9neuRW(cq0;vU^47>XswRE{coTIp@JWb*tKF)l03=0jW-7HjBbymtLQgTfNsX zkfSr15AD3nJV9;|h_QO=s&xrF!E0I_wt5#RIDr3KJ50D)X#!qG+P6gJ(yh@h7Tb{{ zCJbJ8!6*IAq$h5LM{_=C1DFC^o5kA=cSa_p^{ia_i!{oU1II?irQd}?=5Dofkok38 z2PUuOp`ut(z$I4k(~N5JMeW0#hEqmQ_~$`RPMb-kd%a83W#6KtR(Xt7hx&<)7W1~l}uEqP+pdleJGm6m>XgRNb1d*`gK zF6eS1lX%c2a~hWGpHjYbZg|%o4$46jj!#EC81T_&gZn?F)%a9zw*Z`R!PWx4uH%j& z+!vI=40f4gNR>6~P?_?+U|?Udo+-tZuC5Nl`gqo!BjII-Jl-9*{$W?nVScRWdEYyU z0dhG7jiB_#3(YCSX&hOC$H4Ng_xl`}`kdSRXjQSgVQo59=NWWB`3_e1`AGuevaOd4 zWNJZsPn=i!F)w{fCWoyG*ytzC{^E;a|A6fM?bi37^~JD%>}>zlt*_Z?{@IKDuIVnH zyqo3Am~R{bnj3UvJ=#`)_dL4SZzAA#9>~%mt0Eg79eNm;34_L;dn;*K;ZS}K1=jT=5-k+-dk^~z48>!oi;`JqWl8B5p)p;0P+yCt9 zuI+#?0-}wgsnnV1bOaT%Ds3R#>UI^1K3v3xYfrx z4S-m=UKK6a%C`yB`NAn)$v}C2K(~*DUMsR_$oGKgx2XT7tjNL>Zugv>E}GrRK(|qU z|D(4g$jW(ErTC=Hwls7)i>j;L_A=ae!D*4|7u>L)v2Ogj$M7;Z&*;U6y*b1MkU^Py z^9au7!|Ql5bqbfLcl^Av$t#?TaOU22peA$wbnXl0g=8 z@}L94PFYMD#jrJZ8j#04PtAGvJOsk-(j30idEp5{;e~6R*%q56^XEnHX})^=zFMQ& zUbLOCEp5Ob-le}l!U?4v*71|km@aj1 zK(mw1-zhHPi_dMi>|`b(U9Pe0qTbpW@#oYsg}w}%XCo_+etiM{q@!PIEUa#;xGurd zR^bOw%$E`GFF&mEvErtG>=)r{HvXOa2W&q2Ke2xf5V8)ty&!ea51Dw5kJ;i7YRk#}vHqp8YGeS^hKy3-wxg@>+ht_+j*rtn@nQ zwht6>V9qtH1!~*z6Vxf0{&ok?OFH`-zFMMAUAzm>hCU8EO`u*(&1gCG&Q@vXbg^3@ zOd>V&`NbQ&b+fwiohTt2djo~6-c17 z(@s9{r^rE*J`g0ReagbWS_eKp@Fm_C)#7S*)$9xPsIct;u55_?8XA;((4Z&odojqC z{#dvy{?2RNQL=8sC;^h40%GMWVKzn1V%(3P3n_Ser`ER(1>2geJ?o4_6hj|RzO4oi zjq7t8Tr_J0?8d{$iD%xTs|y#9GJL}vf(d&BNaC@cy4W!Akj`PTEL@;v7;{4qf58$nhkSi;MZ3Ys)Z1<4gQx*i2Hs(@otf$S+ zCD=ZIVz6sV*(jhWvt~^@E(A&jA+Re@1KvzKi6_;ueO(UvmJRc$VRvNNUx0X*wDK6DWccl7!J^aW@X$~1?N0))D_v}ysuub zZfri?4wq>T+?T<9t`sgzd&`9B+BqX?2x@S8I)N&dPceYWo!TEM566-$r zHO}=tOroWVSa@wXadqaO6~^lz%N^+hINabXA8ZWRMM!MT zGwooo=ueh6FyOR`BF*mE!%3VhS7e^QpXy*im5|!A4|+|2wypKovjbAssqz?F*xixo zO6e0siZ-dX<#2vE%lJF}@_~gLNCQe-U8YNb0J$9%r#xE@se30E*U$SdT=b^;OkD&$ z;JAe-2D`Yk+yHi&OBWvXLsXr=O$ns53f&{RtsD<;aET&@p+u*oy$OsfdGDgoa$*7( z$Uvr~E_E9>ryo9>p>0;cL$zR9YTMtNH(ZsM z(9DBLN^27r%g5wIA*N<`-Kftkx?Cz_1A?X z5WCdE5@0`yjXhs=+VJL6`gU$iw{RsUCmKCH$dmzQAn@mxpVcw7>m)^#YUuI(7*$LC0+m1E9YVIFf|BB+9) zz;YQHic_sES9AC z_{VwFuS3$=$7^H1T!J!D8DGaA8Ly!Q)m9;9I!hqgoy>Ijdu?9l5H}(F zMjuP%Up`Ku?Tb~}GZ0&g`k;Q32w>UhU0cuik-yX0efmMdTj!1FKyk9-KUUqahbTV$ zr7$+9uA@V@pOsVB}L7#rw|6%S-y3oX;wf$Q}5D;5bq!STrQBmm|MG;W}#s2?)r|#ri zx$9<7vl`VTSxF@U&e{8YpQoNaY9?;plv@5lnyy`V0a%{v0fy=c2CHw%uHfaY2ybV# zvnGm_Cex|21Vd!R={RS##dxie-;Ke?9KPv=0`P) z?fF?ckN$bR@Adf$yb5s;&j%ie;4hEaAEeU1JZAs%kNLm(nEi3d|5uM0Nw@xZ&cbi6 z%20GxFKy%M@UiHW;Ji^5t0n0+iTLgoR?g2}_qd)`q;46yi9(?OE)c*tXgu!z5zKWa z4^zA}**xst$A@^E3p+Gtse=06SG~eJz2Adq)8&`vY4^#+(WJT#faqu2V!JNT#ov@I zXqJ4UoOzbJN>Vwgl@sdIC)Ud6?e;-=l0l{Mfs53ysMPjpx?1ke2hu$uwq(Zm3nRAM zoqER1TX$Op*p#MwL3nK9TnJ`sok6wmCcwzM8oplHc}K%}q>KvFvay4H(I{as#=;9j z(Z@fN{U&qRqgO?GBQ?ecudEp#TxV=5Z^1a21EF(&`1=lk5ef|$euSd=Aer^!80bMCI&o7mX&4r2 z?M48O4wI2sLBnHtTz8H$8pFTtToiaoZE$ z_nSbdSWzxKm#PiC`0SPuyMF0_9nxu)y#6gar`ae8y|rYe;hTyu3- zcN1{o25r#kDa|il|2e>G$qV3zHp?EdNL7=WxzS~-Q>-mPbtu_`;tuCZXvj1hT(_L4 z*bY#DVu_uQ>u05bL7+-fT6%6NXQ7c9weSE(p2T}=BJRwkXI6OfxAFbf*@?b*xGfst zP(xtNax^1J!h8sj5DF(qb0LA1->lFhryt;WZ8X?9e}ddtdQNA4U)Uh++3~R zl}QCN;8fIlRE@@Vfzf)`?aOLtLah=AU=8Gl>Q=_yARFdO@JJYs$7ZwhDj3+QP|p&O z#uhNjze<~mZ7lBfBG7SdM2+#53%k0g7D4!JF!EZiD%=`je+hg1UCn-UggW;#1NIpo zvAIdIYF~({w#_ChNmsJf;pzW|zn0Kudpf_qRo4aMy2=;lk$r>!Ozt~T<|N0}*WF39 zZXZB|5ljX3_|xtjbf^Hfsv+ciTew8x_O@}g$#&b^)P>sF+L+w5PBrz@F5d*R$_rtIV^&U@4^`2ro=(?^dp`m`CX1Z?kO+H>aTC4f96KVhe6xi!@)f%64 z+gO2;aTN^Dep&gsMg@P~qd<(+jHien)pm5m9Wz<{oY)C6t%D1&f^A?SLLUWuF4*}T zl;~+==x^HQx@#Oq9hm?h2~8hBc@KJhoeet$ zP$0`i5U@8~fJf_1D#{l+s+z8~T2!I);IE&!a-)}}fs;C}dtCePx%+w;qdUoB%`h16 z7b>kv)_M0`?`v+qh)#g?sT(+)I@)h}1`YS(4Qxrp_FfHha54V1h%dg}R`;(?GpRk+ zdj^|(FB%Cuo1$}~(A^h5F=MW@n$`lA1LwqjM_s|QXCr^x1lTH1%C-gFGV?l`u4cv= zbv&s_w8H#bM&4}l*bi<5(T6_sT{9k+*E4SZ1lO0w_1xp>>fJrGF{7vt0=F?T z?{Cp9g+wVo6+8ROKu{+^VTcXFTs+GFNet-GF_@Qqz(rhK-GlK*6!s;DJ%a@zih2>s zneB%9h<1GyyrSsd?UslScuxWLQ-8>q@5u?s>viOO`uRYN{+&SA((IR0#fLhbM2`V7 z;IXO^k1`suzp9pGXPKj+^oObhCwO6+PsT0hTR2+FI$v&z?_Tw>XlR)<=BLo9mP^EW z_hH`WiRdZ?4SOvj;p`yaiY_w%LedTA$m2aWAoQ(yI-rz=1dq-{wqc)wlYbuRe0 z&@-D9M1_UXqXf`h8zhsjs8Da3RnyV#IO&YjuyGwJ z!k+I$&{f*=Fo}QqsNKRY>I?|CkPeG$N33<#_1XJjCF2$aIsU;vy@Y{*-v&B7Kvvy> z_}$)9(kwQJOd71~l#XJ*?(%SBDw_hu10_PaZ%-0+`YsH%#iPDH>Hc=C*yD&$$-5I+W+OyRm+UUg!$h6bU7eDkRdrn{+&--He zstnp>r`)cS=Dt^g(w&X}C{SC;DK~V%K=ay+T^os5b(Fq43}7A9-)Y<%D*2>;tfo|y z9ag97+ICpIT%Lo}CnBQfMq^rO*Us5h4d&h4V9w0Ux(n}>lAWPXdHrryfH-V;n(ldi zvn*9#*kgP;b8MsFOtxix3=U@y_I<)8(fZA#P`@<)f>Va<#c7g|L+?^_YYv}-);>5SqDn@kGaCXyD@Z{jX&I5 zzk>nP42W2IRb|sImbs?zT?n8Z&QAttr#$0U+pKKXyV0^q z+n1i;zHZ77J{FlyEChCXlOM0i95&gE#R_}MIs?U8wGgKGSiGK{?z^op!8rthr zZ*8U0a`>)Jz+TOo4P(S_UqnEfq{g2a7-SY&uY28og_Ry|wbC0wl+U>FpYG245MesY@nfIMki7`BjZ8vxEQ zpTc-2i=a&lG z+7uw70S9z_eXrW&y+b-ZqqMC+WDT^D6wvUWY(C}&B%!?AtL!Wx)L>Km9zk)S{`zj@ zM(Z*8Ufwj>bs=x43xTmgC#f>Hc(=3;X36&XSWb~6>5xN}?VamUeGKphRy6zw{El8g=nld;`cz;C{P$KH0cyK7*3oOndfHLtFmb9;=@_5Q zu$TGZ-PO0|1L2ZdwbBE8cgt);NQq!OaL_F5z{}%iak_oYO+!apl^0cBL+lFawXc_g zn!YRh`ByK@W!Pr;62cU$lYL0xjkM#~ZE2!Yz~cl)-J8j%sKG6$8U#J~>#eYAM*p5Z z&3E!F?sT3zqzA6(fX<1TLwQ&n_1?i|)mfU`M%Vw`Y^u@~YTme|IuN|HZGU&UXrwzD zm!U?owx|JcIRJl7(S=rD8(_9-BYybYargJhO3Bd}X$|~e`yv&n-FHSAF^z(yWe3`R z(Q|!x043J#S$-i~NH;5*BNYz1LU4=In@L(EJGn(d#TrUhAE^kXH?tQn?j@I*Y0z~K z?jGbYfSp`jN57`ZtiRxJodY)V_>PR~n+Bh?AhNZs4TWssy&Mr)yOV4+HaWoFLBLKP z+%3cUDLjo5v;lf8Ui`dfFVV6I5*gnx?|78}59BzTi@?jxcGlqv9MqDvKG}O(!vI5p zYAdvUA7}AV4Vo%`c>lM0rdl}p)K{PdFtaLsRRIgl_MHC_)T&TfMoG=A85H%w=VPb* zYIU~qdU0+$(E@2SDxpxh!4123{TPzF2)Xr{I5nD8>O^&t{oPNd`iOxKTuE=8q9*-- zdks7W*cU*!7Upg(de6$irMgIN_76@vt26d;$K`#}2XKD|q92VHVvX9k@0gdXr8OSo zjomHWPNP!71p5!5G8y{Jg~169HQ`)19!;UOyA~JMK@6=g3T2)jK@9$Oo8rOu*7@9n znEJ3EjcX25t9#d=s`&Tu+9%%wKKlAgfVW#kXAiEs6){kHo!_{vXO`(m zd8ckT)t9Xs_apyZiU zvLUlr-?lgwU-!N9*G^Nj*C!f&_x_uehML&lM2mqUDDeJ$9YlFj9au^|*S?d(w?OsO zM*wh`CIfbYA_}q4wKY^3a+5boOZsm%XUoTi?1^Y~8eyozq_;dR}VRcJGVLCu$eg z-&X_cMYZv=Z{6HCbE#>=AvO_e+nnaym$IF0h>BL%`tP=)E7D`nxv8;V9GiNI+4!t# z+~<5a$EE|uImbI`aRuAYCR_V1Yfi66WFQs1|Y~ZntzA4Py4#AL{u_qhr%=39<~g*uVT|S zCmn$t2UqwNkaW>C)h5vQ-fgZRR&)uutGtw7XQ&)!3Q?c4N@q~I`S^Pq=_J1zUqMil z9BcJ%V-NsCkJ!&IfESI_PZhUS`Y1r1E}G+7{ckWvu~UyQ?{T^+dnX*BoGANwzWt?rUHXL`kNA5 zgMn@0bAm!3C`d%mZYK0z8-!>lcn4cgyH0DLwT$La=TBWJ7(3@y{0Z(8zE`(}8Zaa! zzCQ^!%@bAnkDzHYphWoFyy z9@ver%Zs7NF_BM!X`}jT=<5Y#*GCos?r%(UgE!6a4i@E?*HhM8 zm*jwNCB6?acR+sS4onSQXz#Dt&eYAm#Hr)3Sq zdc;ThCvy{{D}^=417-CoQ7kXHe$Pum>(n@z8T;^Lro52Z{SjmwkHse!;=56CTZFNr zHh~)12$ahf!vzk2!IBxI4HwYBK2!dAZoVX-)p@Ttzsaj7D)_ZLOiKA5*AG_vW9hVb zlnz+2c=r(QWIZD)vw77kZ#`(&F~*N_EjI^1JQssaTxtJO|XVMOif*8uETvzHYeoXCaK1ac7|nY_B0QHebS| zm|j;puY4`B$n{g~U=#6ipAPm3T8>e9vc=8Q>IF<%^A1yKl(19nqnlxMv0sS(m&>o- zB{k7@vTha2e8u&jH9%g@+|m`@ior90p6zRMe;0md48QOH@*@9(dHA;%`G3}tL;o>y z`ByLU7TNmqMgE&E{(ly@S)57D`)cAE*aoVC{{W1uJe_gxd9RRzn84mI_xSBxzKEge z1837F+J@C|@X(Wfwv2y>nJoI9$MDi#k6r~sL_34u0F~r#q!#+4Mom5q*!TH}&s!j6 zsT5{+5J1$y0+gh|PUDc)Kw2vUnV>b+ULmKQF%1g)uwVh4HY-*q=(0n+YSz3 zN6snIvSx2(I!DA>CSB+FauNum)ib;89cqy|4V`>!TC;O48=7VlH?K+k}Pbgvns6;Xk%R>!*5w99Zf zBbhb0S+uk5VOce4^!k5m1w!B z@a~7d4BiTzSl^Lz>2x*FSpd43WEVZgvn%*tn~vh7m&puG3E$5l{uO}X4r9EinVypu zt1i~*tzGYd{tQwwy+E#kd0DmdZg zQl)yct`)j**42uG4d3frtOry|rIPz;4B1X(ER*LWsUIC-#hm6R!wcfW(K>O;Zg zqvQprzsrQHX`KQ zyTxQ;94rr;Z=u#k14*w2U+Ot~{r0V&4*NZwfD~-^Bb6X$!)}J@3L40$Xaaos?`$-U zXVuI$D1rdYTfb`nRzcB>pZk5GaR8y-`5V*QO#?`e55XrLX5D6u2Pz6HUNJ72vVp-- z>GyN0j?~i#aQCiL+mj`B%4|Q~ek%uuk_*5Ox0?BuIDmp!t^K)9-yPM`$!Jt`7AKzs zk-jM!sbhQHLI=gPlRO?o)O>u1Z?&2bi|F0%4gvN8&~xh}5jYtxVig~N`@+2X4Icx; z?GJ^7p9-@HP44~pH0cG9%UJnNC0p9#XWu<>v>I;LSNoc*5_i52hoz#Jhd~teOTmJm zT`&+lj^=K+Y!)d(?MKCNb8oDRj=S0bfse6v6I|$*Q{nv}Y?!x}(Aem~R2GFFxcC(qdqS0&MRl|>sP@&o zpD@~LuR%DMznvRW7oC|4dZ@uCd@u!BK}%7hS0(665A{TaBXIYHO|EW9xhHecXlCY570^l9S4ytJ`@+eu;F5 zUG~ez&t%(XYunZJa?~*bZU7LJ_+{zvFA$f3Df{ z>Qk49Pkcts%gKNOqqQ1D+!bKSYc05UG*)YXllFWfnp1qzYXK*v3dwwSK5>xr{9(2g zO7*4I0T3!|qfE|sX-$dz!@TxU#~Yf=`v@R*Q`GRT2ZPV|ah%S*@0xVly$w{-fzMDx zzg@CU!IzSC&FbU&kF5n_u1$S#yjIxX`k0L4#!R>;$GWgc^a(pKiO%kJPe;^g8iJi` z|5dEMj3qhhHAPUJ?7x~rz*U~M?;@c;5#F|>r_2?CmJ@To^aE_LE`T`Kq<47K51v4Da+xIj& zgPr>Wu9J6(+b_X5@inxlHmCK)gEJvqeWA|#>sf!A{>I-;M`Cv6_MaPnVZ>=W z?heM{Cn??+-XgN})-Q_x}GRH>GUY#>L@W=Zx! zuJARmeUjap#oaSK1Ju6jEo*kHfbH2#^ns@P{iQAGE&&sFc?;n=nB2CTUIaR5Sqzqp(1XcK5k; zDs>C^t}v#kmP2*?=ae?YUR(pE}(N zMxVhuxi8-D*YwhV^tkB~ux_f~jj=3td!YB(8?PSuYj!VXgd{Q}--AIKV>7An0411s zsf&9i;uX;ks%G#?Pk4VO>GyQ z4SLuBld6b)z*l`aVGu?-2g@b~01JaVf4|wxZqX9^QE$Xh{^tGaH3x5>uNbfAq4Q`z z6G|zrPpob26}Hu)(N+VLGw98QxvlxdFNXlK8|@+5XZ6ZYT7m|{;HoZ#y3jijK*vMJuS&C(F$ z|7P#f=-e*zAm%*GyW4)*#0YdbcIMS7mYxD-b9x7rLhj;1ZT@ z&J?^Ieh@S*E>(AMo$_mbi;w#G7NF)HNiphW!+}y7ZS@XAkeyQobhjwCHJQy~He4#{ zOmGBZek;#2AQ_Ay8-B6d-*pDSJWm$@s7kkOcBUG=`@q|@0+{HgMe9K8g=zPNJ*~Y^ z_@G*c{mV9T!D-zlJHm zHv~tqfG| zD*0(X9*xXa^}C#Q3@uqk87Ko@7Cd~rMq_EP3r2mVO01eY2TatZfl*yA*kA$}iARjO zVuek>Wyp{A<%hlwAd3gZ+y1RN9p|c>Er~5JdUC1HL&?T^`JDtO7XcI);I zGbgSLjt8R;e0Eyos@5J1*I#W$xPal_r4+4`_T|$3Tw*i0Q})s02>N#TuBTQ6=lrxQ zh>M)<+t+>bb_WwVxx6jix)N55fRUG|417&%?LHP`evZ!KU=3QY!KloK7cCz2!&RVp zz1d*!%Pjg8taY<^DB16PPCQpwDF=$WLVx)_-C_AtS+S=@&C>Yr1$V%XW`u>hiR#+n^V zL8MkG1}@6iR26^0*7(WKF))@8E_jT#_0$+S$Qt;M`%_|bI)`4Icf^htk2LW`Rn>jn!Bfj^O~Bb`mI5KlP<9ZRqcuVuVS$q(J3dTD+>vF- z6Y`6lgmryZe&2z(L70P6OnY8$kB@X2rtXGb<`VR`ji`2tkw!pueuq2P+HO(7+47;w2z^!%z zKiI~{Sojt$n~%1?@hn~pWl*9;yJp!8x)kF>C85MdSU@X!>pPP{d}avFc74ECuA~EI zlH-{J_dn{Qy{}F99yjR(7J&-xX*1%sN#~t60A38g zmy6o$Hhud$I!pEL+j{{vfiip1(-T8%?xp*KOk1Zz8-NEUap!!L3@Sh6$MrwK)QQP1 zW${t0DH~|uOjrZfs|OVBa4!NQk-gxg?M#Uv3eIDsQ(3%v=PpIJ`Y*sg<;9Olsfi>D@SV4^L## zriWK1Y0nk`OB~~t(H2@jWmQwkb4w9?~?%$ zo&MXYS1DII{HEuSth!qXxdM7Y?!*VEc)v`b&W2Xkid8k|7H^rT0%U#Ob2|bU!uftn z3(bH$g zf(=+ya%iI&g7c>zc%n9Qr5)kZ*3*jAJ4@H$^Fau9Gl9iYy_;;85(s1z&m3A}PnLr& zNkoUw1eldHUENji*)4H*r|&LqW9A*%jIb5=hUEcD4Ofr$ayQ@huE>xZZ41l`_df*| z(aX)dyvk;N3n$USqTuv%GO&76G1H~V%hA(#-l*C>bDRQ=uFO_9n$%Za{P{k$L>qE; z!^!AitHzj3Kw@}izjVl|Uv71Jf~O`|r|f5GHYvgUE}W|JlKqa_gGN22&maNcJ4*o` zeJtrZSk*dmOQ}odIF+3x_@X_B8$M~Z3w9sm*$UVF;oWZ(h~h$)WA<2{bsJNbCwuS# zyoFc;F7exb(JRGGz%QG)fO(myrb7+0^Uq;&*m%7~xcDu=RzCg(YgRc%6z3Q08Pv@N zAnPss<=pZIyYFx3mjA3Pi2h@4{;$q0RPzr8#jyZSB5OE=OH!{9FGsbc7R&Gk?2q2M zT>$|8{rR#)DoZ{?>i&*bd+3@4I%|QGntJ(ZTp5ROxJUE^Ocg@?Vte;7xSx7voyby@ zQ)_SflwY{bfu<`ydW?s(@+wOnRci;6!p>s-&h5#RzN66pLW@x=ZZ!#->`^ILDkR0U zecdvQcdA{r#qZg#FUV%0ntuj^qcQlHR;FCX!)}O;mRm?}Uw6U2QkvamM)*{Ct=>@}H| zMF@m@-3>Jye+7dZ(36Kw+v1|He%E@kb+h35C*k<>b z?v7EV#uB{54BJ#`35Z0qA_Jr$?CRM>JX82(=>^!ltJvCw-7D^ue7p%kz^JjcJ#pWk zn&W!B`pfh82Sw#?&)13yO?_R z>nE4lZyPo{COngQ#~Ti5{>I9!R`#jQ0;j_7L{2@QVnAe**=}(HaktS5qy<@|QcTCt zlnZ>2&lBW;V6O1uQQ1NFz1wLcHSHmwZfRHV7L4?uvb)kK#Og8CQyvxoJ}7Q zj%4sTaT{vovjgEX1g$NXUt&D&y`8+1cO869r-XDe~+cJ`&i zJs1tYG1Ww`rE;USqNR8VKyzL>3opYcoUs7I8eY^I*YP@qEy@xldnw_s13+v}oy*r-X#s%A*01)T3 zHrRK0>H0O7!Qg(U(!Jff9JMUy-mYo{$bfv)USck1%e(rLb`=Y+{^ANP)~@C(i@I$v zb)>dzn>ax=dU^B8z?MbS>UDYIZhchaaiE*xe^Nz#egJ5~-R%Q*-$H(1TIO|2@yH05 zhq)Wdy*S3H?QY<-I+4RH&1-=l2{G<2-cYeo&?p^m?BF^06$2P1qSdd52WD-c_hWuQ z&t9O#xE^3Hbnb1lNDq=+Ud|CpQg)xn?DK$@?-cfQuGDK)$tezjf72A+bw{4*Lc1`$ z1oUt5p;QvNR7BT^cIADvuig0CeIDg6G9k*<@qXD@jnL?7|LiOEJ|Ntqmzu-Vz=#^$ z1{v2fHlJ+X4_0>2t3ra>#0)wMJcwqFv8}f3gIBQcpvBs}jqdsW%gaBk0^mN~pj>lI z=qCIY0C6*{FUL!zC7#j2ttNGt$t$0=slMJcjz?bY&tLfUOxXJOb{|)=n#eScbnR0Z zU(;7DNi9=ytT7I~gtPD+u8*|lRc8%@Ta|j@D1We%;N66<15CUQWTh%qJK$%}^Tdc| z%E%ofw=RJCf>dg%p~=*(Pw5vP(oEU_F>J4^oXEi`13Zk>r+Iq1FX`Q_Wp-u{b+zA|3HlA7`3N zcuVylc~F2I06%a>-9bOf&n{DcyvIDTeJ^7Dao_I6Z(OJ^YOfnF*NgH- z7{7n}zQ1-K^b(u&#?1}+Bmgj?#%$sJJzboB@XW zV(a2@>I0i1V*(QlWRq3sv~;drX$+#iBl_{=rk_&U>hHTy_W(l7!vdpzdSD&4llEzg z8En_j%_vnNy3%GJozx}H+U^|)DF3OfA5>xpjh$*C(CU3g^sB>+D?NW6CHHy(^;a-_ zK!ad5mMyob0N``G^o1YTyVQxN1ALkoDfq>=pC7-q z#zBExSLVy)rWX^7sUABE{Jbwg#m8bb$>g~bk50X*n>r(xTU8!c@GW$22ml`4yh7>a z;Aa3LVQW`t2M@dxnOuAQZx^88ZeNR~T!!pEdc6ZhdCYm7;>+n$y4kNFnnXiH5)^`- z8WP$-Rbx7uDERivm55>~MJbNHU1^qUBFj(R4xCKKid*cvOt)i6VOKekYPpLW>X8to z2|GT42>0aoDeF4exma`AY@vA>yIS5I#v`zk@7(bR$-w0;e2l`{D?G(Jt!>vV{Z;Sg z+0NKa6EZwdPM>`EBf7IZ(wyNW6-q3mjI}pjSyhu z8W*+kvxn~OlzuI#@4cu;2fQd&+^@`k(H85V2#m zVITuzR^{z+{>=1`eOmavcBOouwx&fFnf4MF8bqky*}30l^EK>FPc~;xfb8n>`D|xY zx@nd6_i6o%tYUx?ro$EJNcwTUEd=bD18n}q@%CD}-9;IgIF(LiT_PZmFB^e*b$VUX zo1wSv#!;ampBP6z427WYzc@RlHsHOs-LUqVC(CP@~Nax zJHx>(`YnWU2CybUh-uuSju2(7BHf+oVZytA*+MXXKwbWFoA{qI`+sr^!Td3d_*b`y z7N{csuiHdVx(%ZfiUR{MP;sEWaGxK*pY2RNZOrl#(B3A;w^m!aM3BDrC9lw`cQ{lJ z;D@VT2mQ6N0V7Q!ihO&myvEmY@XPLt?Ir^tnmH@}Qa7rTr_EtJ!u4By@p*t~$`rqy zL0L2yE=#|RERHpafB#x~ii}R5(jH9W3=bN2e|Dk&Df^8tpiFl3uw?+b$*{3pk2g(w zr#+D0744<|?RdrF=n#HX1O&`-Smd^2`?-(*=xYtU22Oy=jQNHbDNmoq~UE z{SqK1*Jr1+D^f;lvl>6K?(ODTD`L{x`bjv)Usm&WAgXyG?owp698Ef>4tai@XH2~c zP`dl6wgy^S>0+Ni|K+iGVYWbxXQ$Z;Oyl~$inS&3>RVIO7PZEUE!Wl#QDQdmZ0(i} zgg>+EQLw*}hi)UB?T@YP;fmvG@ri{%yS{qu=l%j~%f{fmxH2kk1)z}!UX#S$g>7x{ zv_3P7Qj&v+-Kbq#y5^`KSo!pR-&OWsw6ayzZE&9L-B6Y3wWM@bW4f!tv&!27t-Sl@ zHMdX?5bGc<5lQHFS#zKaokv=GBn1uD-Gs?_@M>>Jm!R{qQx@ZMBWxAc*LxRfy)Iwi zW?T4r!H(~s^?GW;06V+}Gs4NYgfz_Y+wnw-XL>dL5VUGz7bKjV%8?k>`FP$;xkp={ zSEjp)hm;OsdG+bg`k6n~z3_LcYV9VPVE*>OZ&1>_D7P4Mo>Gk3av~=59aPMGvS^ok zEBRN0@4!!>YcIX|U5Q-XLjS}gT+D-R`&?ns($<>g&d z`hbPN>a7jw?06beQ(xYcK|@7e0F#ado;2|Jg>z#3*fH$1_(oo?B#OYNv3w1xT;({} z#Kil1Z)FECXuB@yqWaEC!A+g?uc&~2e9`TuF#ha0WShyC#2PrR+U3g|mZ)uBCN*?v z#vhwyw+p`kvSIhOs>=%5k-PB+x_~x&wnttEYW+$UH+WD5#$qrqI$fLTJZJ8WYfZTe zW2g6m*NRy$l~%}}ttra_u+AZ?#C&Reh$&fp@;dQB!QCgB;Ysf% zhyi!#OE5_Nd&=hj#0M*}F+8=X^aAXJJ+-*5^p| z?9vp7ZZ@8z#U%wFT#reQsa$^(3pBRqy%vh=ZtLVHd>&(%l>NR)T`!DqKu3Z3K&PCd5yG=tn$(saYHa8cG#>O>E2d6fu^e%Ux zBU2-=k5`w8@BHWud=$5h%uB7nk z?QuYmL1&=P%uGZ*q_2KD=hXbpvkPq)HJ0QdhhmLoi1KX8iXYYkT}275$eesGKR$!H z-3B+(&jwwAb-z|}WX&F?$Egj{CR&98Ypl*Mh?X?b-J`?l`;gt(Fdz}E{zfyjV#KKWT_qWvxf;)0>2ZC_XKX<^Rrld{F zdc3s8V&>*p+@GFGXYjQNOK4#Lf^wi3Y#tn&b`C&JT_%wZzIEH z?mf5S>W7vNqLEFjfYKn^_Rfw3SF8Iy`L~_;@KQPT{N4Noz()2<2scMYtxQ-N!%irD zF7((vl{oQ&xI?PbrpTbU(g)17uo_dH#p~QV*Z4hMYz>lA=s5^9MryVv)td1h5iOGb z?pFXdsDc6fePre~1T(Y@lUG$bE^tsMEQI6um2XEaOu8&kh<^<*4ipg3i6J@mFkoh2QYAP_u5%eje#?Z`EMT8&K~^GWCm! z>rVCE2H$9>G#AwiV{Din;E{4Ad?ppy@pGbvn(=urVX+wcEwp?ok4jaSzz^%A@Z=}{7W z*#+Rk`>Kv%C{dP~7@?6ocmjI%|6}e<))2+Eb=yBru|-8tPyrPS5G<$^M8#TE5JXT= ztlt05yti{>eI?+cC7Zja?!HyU*S_42;b_uf10t82C)HH`EDE%t>I;L z7AX4NXj11lm#)+Cn@_`85fZN1yXh4MmOqwCyV3^V3!{rOjXTpvb{mJ3JXNFbUT6+D zom3j;+nyniA9c&_M{T6*43JWeTkQi{@cofk@w1*IF2h2jO1DnRD?8mmi9HW9GOCW} z^itXBT{Gz!~l9^w6C~EFt zGh1~()hoss_r?C+tThfk_~P2`b<;XtwS*&bLmLnw4MbhuMfH_FpBE6E;M9z>k% z_FgP1b=!arG><7s=UmG?<4d!D;IBu2yxLEFW{l+;xDxGh!gQmOi8_W^;N<9FDN2m8 zRqgg#qz60elZ)YR@fK@~4hJv&yCBsbulfu->^lGZ%Bl4SlJM^?iT_&fKi3F^p4SOQ}>5)M*zQ@k7s&9eu`C6>}aT{NWatI zmX@XY37#<+~OGl>nwNk?Q$Ao|mEF*T;2dIZtn&FpF!_d(}VXrD?kg5aDaG zY%3Oa`=Mh&r5CfKD4g$hKi5%Cel5n@pH|rTt+VeNjoNcz{BFLlZYu+rQ{Ko_rsLsk z4zLZPlPru$)9u5GAWI#ChBjhOL~%AH<6Y4do!`TLcO0A1 zs_tno7pJu4BZKwz`mVG1;0%JT3QEn$?2YcK%FByczBj54ww{jMR#+^re@^2U{YE#hl1J86c`acy_cEi)orp5$Lkft zqG_hG8F}q=d$F#!7o^%P?sFh3_kE@~9*v-zu1<^Re%0|vKX=_4{*+r?z>QyUwlRw_YJ6#3~(od`>Bz4kESn*v%{uPRu|BTo}rMn%GzG|S)I_1Q$bwlsRYrBi+P9oCUY^qF5~_rdIZ z%`icF!}^vU{1Pzph0qR8hpX$|exUH?f1b|hwyG+|549I_h3=`N>v#K#x~JALKdztT z!?>4S5Y6Rn?zJRQZL1UM-tWvDcXHo*4Z?#xcLBSG|QkAa_j zEplVLwQ2I&%R-~(Qqy^c{nYFu3fb4_^xS@d?Rv+Z z=w^W_2vd{wF3ucS>T|OOn4{quZDt43;#}TcN4dow$Dd1od@P2~@|n3z5Rrm`Eo^AU zb+=OH{KeR6%k(eDQeoy)3;E$Doz@Okuk`GlQEq6Dk7!KHN?pQ*d+>!~ZP4Xe-(PzQ z9W723A3+;iVzB;mU&*CWC5|N(y$S1wW^n0V`_4mQM@3n&G&aG#*E6j8H)iTO^ zfYCBiT53B0!#{_kldo=RDalnDbCB3=l}BlvsB)>i%K#?RP`&$c!i^HYmHxP`SMy9z z9`W-Qf&r^DB)TU@XWn$h98h(=04b?wQ6{Frml_G%a{jEGh4{Sb8P#>YpIwQtqDrKS zzDc_?CTa^)Nypp46Wwmy$h5DElPxr*U2Cd`$ye0MD&~4zRx9}vF8sU=9|i(jz?x4Y*Ct^(yQxdEa0G-F zWdrHm%Csk0Zn}=jFs~B}&2nb*Xd#^&5w z?(xY8IS4KIYiHe4PKdg59@c+$qoEbh6P0Z^*m+HNYujB0h@UuKz9vTz;CCBeuT(qN zcz0+wN580>m38cXO5p!dg&W=dy9o!jH%c{3ELOTD89YX6KXJ}S+yE?2broRzDg5qd zv*G8lu~c8^-R*l+1&gbnCJ&5c+g&udl@@5<$r(ZlDolSKP=x&MVe&YLlk-!Kw8GP-$-P$R^De36KpxWSiq@_9gg8UoM)}UVk znI>C}??0R$-$RMIdebtcS({C0n(yo`C+QggrhX{#X2*-hc^43b>uZr-db@KeB|_EL zU`mGwb0-zMZs5SdG0iPq@?a+vxM_=PABGx- z>DOwp9$oLH!7zeFX&d2G=XC;9pD5j5mhJIu@3J+7)nPQVSa z172MAzKQ71UwE+^`ibjfNdHeuvts+bnK<*n6=WMbjJ4K|^+9P(pOx;8)1XLqo+Ip- z9US>#wd^*lAiZ(qD=)n>_lg^4p0i#R7^mC8)oIQ6%IU9Elh=^P>c_s9cCD6qTNv<@ zkGd~JUrYSPm}R-})Hs*PE*!DEVLI;ra)m>%5`G1AJ2*u9^Vev+!((9P8vdP-K47KQ zi|x(vB-mL;Ry40tnB;7e4s`^%O0 z5Ne;nPDv**&&yGDjoDY(T-;p@3!jYGT;d{Vk6MY#mya`r#eKqdn4=2$z0BwYxYf4x z#mKnl@D-Qp5@k5YnrPy+(ZRI1p==@>jJ%@r!N zPVzRbClhpD%+(~tdG@X0ZO}ZzXd!cW(a&6CAdN}4b1&+nLe(LV%+RGbHkTbVPKRt% z+E`+3hMe}@^YH4o>n3voIb6*R%8v`t+K*{x!%#UI#d!xLwuhu+2|=DH-ZKpbJkqz( zY55r$`w88T8{<8YohzlOVVDC>9HMe`Lzkahyp6p$Y^VMiu->FwyE~4e$VEK@X@;y2)UTn2AeYF=6>}*c0 zch!Uk`Z$Q0Z8gOFx<$rF5VRkh_wRkK>GPBQgITG2u1!2mQZ;VJ$CB#3W@V>3ogn3xwL1`vGHG-8FeR1h zd1>-ox50SB#(|#X!p0=`xVd?WHkMOyIv-vm^zO`RHHqTp#~rPTB0mjQ;kY7Jo)=2I z)NdaDmp#Ei%LOu5urt$!efb)1LwJdYlf)~_=6)g^@9j)lT*8ASvhDfpC3ohX!>H4u zf6DVnbg~NEsArwM9k_?>2QOi+vaq-+9`C4KcND67!mg>0{KT(5Yhh!^%8ZF5@A>^E zbUK~aY{4GR;TVe7#f&(+SBAYQcHYWs=-M9)(+aZJ_OddG51CeYDQ3-D()X?sPSAF7 zgP#YB+8GhXPkvtd2IfNi&L|5RP2uOQANO#9CPR6vXrRp4l}Aw0+{9h05|n1ErM(Th zPDpT&^~|-qTPI7+2?+6#)?3P#AI4?j-Lv0$PzEclgI9Yxez?k|JF$Ey<_D09xA>*8(4N&18U;qjr;S;cZkkbId*@29E|zkDXop~t<+~EUv0k> z!5PO@G2tuDRO)qMxOB-a%yUORsGGK?5~g8}aPZIEECjHot>#rLr`8j0x0o+PrM* zLRxRo-&>W(r`6%QblLn`^F?{Oy%gFPxzhxChO3Pw>ow*5oe}n)6z5;Q@51qw=lK3W zP@Z#B85g99(a?VdzrqJwnn2~Pf8JUADhAm z=*7J5C`Rx z6%k;g7oC-Hqvro6OREa8kI#sjc9Ij*CGIzSL%&PeJG#8se37^>V61H>CH^dd%`J4E zsd3wVzw;SiAO_oU<~T_E;{9xbIYjNHjJJ~3=!igqfx0G(`b>QeoSDDI4>dOPrRv=+ zS0u~cU@c=CDd|b2D4b7EK!%4T;kHRQiS#@zX2C?>{Cbb{S(d|8ZJatsL^d-QYWGOy zE2+goNgK-NTSv8R&%tktS@*mo4!tKc*1KiI>8yEmw3Ol% zR`2$RjqK>_LKAsIfj+?d$HCNe5q1i}G^H6I=J`a1fhmi+1+GHy=Ymh}3sE`RO`eKc zjAhr{wR17%g~i$oHTvgn-z+&w`;c!t)!g|rJG{~7e0ol+0RjZKUVb3%>C%uifk*<% zy2t(6m(r6T+tW~4Tsn)t}gPfjVj9wn_gsTglkei9g`$ylMQKc=ovuN$wWL3`a z1qwxfjdF!OG@qkZ`Rn#nVVuj<7qy|%Lal7eo2}CnF|I%B#BGQtVf=FOI2e{tEL*Ki zkH`1&xF+fzKI}(~I#wF<=0i}?CX%e4-#o_B*<3tbBxbV}sY5d6nJE%Frgf=Qx}(fl z{oWS*)l77FBW?ZnnyuO}Ch~{*z0IlHzBSDd=B;qrgHH~MJ>>~rdhV%`yhm!)Rc}cf z+&I=&VU0#_(_9S;--E*ly5+b-UmrrT+=D4xKbhQODSIPFvq@cEXL8pRn~u)w7QCvDrL=Pv?crmYFr*th z7_JvL>qqzqvwh_z^VT%+alUYG7{{^AR{b};IL1p9MD0LYf#*h+|s>STKG8C7!gQV!yk9hc?;%+RW80 zB_Bi`4^1s~j+D^i)$4srJ1oN#e7ZskCp3|a@S$?EcAQZd`c;c&hS3RZhF-vu)CaQG zRePZJpnuSFPj&zVl0pmpUHh~;aMrciFYRyb%B9+!Xq#sJO3|7zt`rwZapP@IBTs{( za1=l^oMM{ezMSH$iY|}hd9kc|`8!&J&EvSeG1jA}Vp!5g(W%mWOfA>s&cS5Hu!x~g zET@hMW@gyMy|UhsqaS=FTV6qngV{>RwsPzZS0!}1dNuYf?UeHhX$Jx%2D#-76585F z>hOJ(A6_Em;#AAcRAg|H8pez6p1?I+<}BWBOs2vm>(n~W_NB0*g(Z>MxWBUh4qA=X zBJMtaZaD)Mq9eIl{4Ajlsf(=&D+M8Ph4H$q`~8KvmUrX6`AzNVEMV6GaVj6yrVKE6 z3te}1P4Deg+1k5zU36rj$rJ}UD%aLHoN6r5)oGn@c7SEOd45ozeFjb8gI%&)cQ;qz zV=Up}ZC#I{bx2X0yf&zJM!y6|)Nf-=aX4qR#J({mP0YFZPI+Ts{~p796#zK6sevQM>LCO9>1{{qSD zKKL}3F>VqTJ@P-*DFyS&Z+rF~QR!=K%=as^MP;Ork>Ae>P+Q{1WCnGNsI^5#g`LP8 zGC}3_>&}}SriC6yQI{`|ly4!sC2q_^J|{cn@Bk!Swa0hUdtu@}L#lCj)zRXujk?v& z?Why3QB(%u!>~)_wPleA@W}1^Q|KgNZd+LBZy^Fk^pu#$g3^!TmK&Ji`aBTJHd>hm zUezTJ^I|Xg-qwwCFv-->4Pi~VN?1_rO;N(Czj3i4v`_jfZsDsnm6w%#&Qq? ze1*t*{oE@Iz{mGkO}`E1`t3HVT5jxM)4};7UVFXmTIc8G5-)G*GiX@4XR4oHx683x zX|}b}eiVbQVam`!`9ijyX)-Is4Q6B3q+@%GclSDC7OT_p?nj4r-;3(E;k%M}3!z+Y zl(PGM??rHb?E!Yb%eev4(!M$WRr&ECW|vPWFdX!<+g`S&2Wv7msW9kdQM}FePWW)& z=0m!%&Kx6GL`ZCb<0z1Vmf|Z>1ISnI#y5TB&5$B`fjAPw*Z|opepnA)uxbC^xC3(Y zKI-6Rg@IPUVL~*HZwO&JHG!fFQI?(+=Jr)h!umm9yDx`*-&kt(iVqf0?BUHi@CzAINKh})2QHmZF~ehf>y{jQA`KBe|{O4-BJ&3c}=L%^y_D0__}dV@r)S&7Xt zwj$C;typNi*X8x{1tUvw+q#ynWTt{ijg^`lVLKL+;y=rT*!o2~!X%s^=|;t7Z>EFA?(MRcW9=k+<^)7=7)Zh z`^&CEH%ggVRbugQXFrD2{Jg6@4)`O3pQt)(pVQ~p8Rd-;?3p^(t(kPQ1Fg{N>FQ`g zRBGBN3gWpH!;-0ChK#d!;fpcWA!2hBr=^mlPjXh zT#`+C2`37xWz=$<A3dDcB4GBfZ+JO8JR03MKyqzi@;=V!V#cUy z?a`7wT$Yn0$T?|^+;}yu^IcFfbO6;8BW5z{^-`>|VR;`)!CD2|T9nQC!^6D5w07Ta zp)t;g(Zd|=cm`(b&+F-2A)j{;j?EkA7g+_|C_M56_AZP{NRhu@Aj><*94~LR+*$!} z)F)aRH5rkbrI=RK+f-@aBvP@lzl)EN3~~!W=fy=} zT_x%}8j;{v-40fli9D^pD&Q!LV;T9JP)b}$Stc0(dlFzXL1MzZs zaz1bBtaKQU*7Mdt@xY!|D>XbHBs||mEk4NeA#AlcY9Grd%cGZoWX&i*KSMd9(>w)&B@m;#I-W=J@nq&9ebRV&38UV zn|Z(c&&|##oJ-KiS8(HJn(J>jpcgDD;PnJ7^|^hguBSy;e+Mw_rTYkQ~ zdjHIjO@m=%%`4Ivhd0SuFvBh)GbOfs>&30$+%o9~%~rc*v}nw>pc|RzgAmPj50H*eF8M$`JfFsa zUv*2)5C`LVeP!v`q+1z!iH^lP$QIuPuQ>h|xeVrNa*y1a#7PIS52_3~Fz(Pn&^eiSQ4rV7{KqJ8Pj zYK8W``yNOzpCgM+GoDxWktqOF(|AsxZ*cj7nWP>yyeUmD1*_)2Mu$b>B!(B{P`qm> z*GCgSN^9$MVu!Q#atIO%HrABPWM^I|#KqZVHb=_h0RS(~^|ha_oL6adMW_xoeoRm; zjX9*uFJTj1nRO;r`mpmc&Ep6`HS5PBui@3nn_89cpI5EQaM8BSN5$QBu%eQ6VJL$E zQobfdOwh`uXA{PX71BmQ-V_(7SQNxpawPiW4vV{s6zRuJZT3FD+DB_MrPu8|?jPqx zKLbHUEb;+AUVC6n@7U`TSM7%H=KI0%n2C|6kuChjUU`<=wz{%m$Nepe#SX$t)pk~| zT@#qXb&D{l$=BM=PJ5hljxB5~b2RtVA27qLN2_PL_>P0>Y{%N~o)9RR zpOp!$!f<0#;AR_W2gZ%3pS}P#KlEnCmp3L^dD{{e7+T!3vjIcd-|RBJ9hZkHR+=K( zytX;58^6Vwz{QhGts(`Xu1#T}G^ADI2{kRdZubIne=oi>>s}q*o`Jc4t8~oV2|%J#VyJ`eQ6)|!lszR*N=B+)e0E8-m3b{bBE1TSS+$NYAn!(O?@aXQ(CR7 zEoEfK12x<&RVLr)t+XeFCzA!W35@LmaC%{Yd3R8ak=}h1Pz5u;vhmUWufwla|(D|V$N_&lDqCQ6)4Sm zR&b!VoG(|u^JH|Ww_Yl!5=Cx+Qp3IoX{p@WZ8u5l{+NshRWauypV}m1;mkA>D-&iX zmwRRlSqH`4uU@^KdH$vjHZtBGyJ;49VXHeUG}$*QfZZbBdZjFAXxgjwq;++jOoyI2 zb);3uRS?!w+~eb#FSMH4J-xJ3HJ)GTJ5DIi;olve|KKG4?cw=fYh0nKf2^|p(czh5 z*guF#?)QOtsMXZa_N}27W=?_g4N>zYrZJ|TzY#va029IfU=BJ`_cp;@tJ(V#;m22f z3oz!wF}7#57yr@x2N(nU^@ci|q}_%hc8B!qemH6q?ydDVw?)6YvBG;atQ4w7PEs<> z5$b#I~&@sboRnQ$k~iudv9{MUE~5oF+3 zLrCmfhwfl{)^&c2j?Z=Om zTYF5F#VXDDX0NxnW8E*rU7x^nw_a}d*Lec6_0sufcLblwWaYdx`#ls0L(WPt0)C>! zkz+^86f>cwTpW<;=WtT?!|&xqUl69Q65?|_OZfi$<$pewsqdVNK=JT3cLnqT6L|e69G8{V!F)aBxsUmzN+oOu5^fgFg|NW&)u z^usIMvRB>h$jIgjVM~BE7?EeTWz;)%Gv89j9C>sKc|)o~d%Mk~3uBP)QwTX&aa1Gn&Ph(9j`pck@xwnd*_G;i}Uo2 z%2V;=xx_a|%{LT}XH&6Bz8bmG07Ag&(lf7fDD)uK9PL!|IP?On)rt+|vvj!HlLMVW zdYxB(x2}}cVeTXJylc9K+Wq2az^89Sn)0U;Axf?W#lz04P38tK9YV~T7s%N9>cLzi zZN@shnL*(-!Z=7jROMZe`FyW5srUL%nOAj(xuNSYQ1cavd%A z_iZ|CZQG!O5=>-^-(r5#9+!n*lG5$Tp==1|sVi@@P!X3Ol{xPW9Hnm_4fe2slmBAL zjJ_m-9JYcN9_Q6k7CXVWNPSMGaW=RBFlY8!65A-orpi8g&<=Ogw(F!3kPu#~)t|ka zoOkj?M+G;+uLnJBQnMkX@)n-XxSumIv+g*{s!Pa!_w4zDb@#W=o`0<*hNAwMJpH3* zPlNg+gmBI**5|KRq4LG@^_**r_2G(}c=IigN$%B)UHC9Lap8wrCPQ{}tyOjVw5q+{ zKzuN1&*jWlJ*W*{P+yvA!8aQ{6dc*kDss}lEW&l6kaRA@nTF32?&k z6PyglA&7h2rN!y1#VsTJHb+jSM2b7@vvBCl+Ixat))2-p;TbXsiwmQkEn%Z6R@k&i zFdHnVOGBfajOw5W$hL#6SLFtKJ>+Nue_a-kQBWgCAV7lGZymp!5O069X z60^IbsI=A%(!!^g%Pm~)@{b9H!_Q}FlUGD#x9kDFPHwDN8t}|1RYIDF!Gy;WYPy?@ zd}HF^0GN7xM{kvT^=u+&E!+568pZmpU`>hWq$m4i)vXS>AqUVS&6=uBe7nsb<5MHV z`|Ar0I2vy6e63b*KUi_H^a_?lqXA?z2O-Y8{SSiC>+g6fP2<&aG5B2I@j12n>~nFS z?sj)JS{&Bmxf=uYG@(v{^-(rYM=1csheM;a?i8KRv)uI{b7bG zYw7D~tbFPbZ5_6?Oa&&2*^TO?n~j{Bdfzp3{B#U;|2e#tu!;<+TkLqhb#SnLJd*3 zwa;%Cs=(kiT6foOYjN5Y@d@uK8tMXHA?ewAOZk+=7*9TAtd&MD5xHSd--}vZVP=EY zC>Un$#aCK)Qw0gCxu8}$p5C!VJfQ+a-s(;tq;vg23c96*f9&XsOIcUH{a}59k1z6o zb})X@99LcvH&poYw<`i^eJg4oI`AWYPD{DNYu-2}KOf2&3zIIbn{Ph$_tjAux=if` z2c+?x!JFj1YktjAb&bhw-PXy8YCijT6u7XiPFo+CV{-cRea*F4Wjym$nQr5$X#3Nai9*vc#~V1b%19FI*nrN3E&u` z+Py7Wg!6H|qs|oz%c}MRoN|R2p$BYUICZ)gTJ(l9zxW%b{?p71k!fy*#>O zZPwDn`kYwlyy-6VTaN8ssSOBd&wRD4)S9hM?WP@O(AFO{=lc?mWbj&7wQqdF9i?_!z-{avLO7En{{ z6}M0#TJpPEH?a87*{7rvd4Ll;4l(9zyfNo_4~S-GdCvH`miR_H#Y%qu8&yKmy|0@( zKN)F@akj(!;)B=R$>+&ldG~Ik^bwsM3fn|#hGieJ{$t#JZ_Wu)|1iJmR+tni5K|C8 zkoCD>EgnvEkbQ2UStQM!rTC6(8bTa#N+&ai&K;u6b7S;+5f9=dhwmEPLN|f2y{61p zSkCr1Q{7qDsgm!$t7l-eREtFe7lY2)z1KfiptxCP^gx~`y*mey*lW^V($!ssxQNqW zFm6`+(y_L=UohvEvDkih4Zi5oom%9+qij!H?YH#EjNQU5{9O#V!BN*MG!oOk4W<+!p`kIJvwsUh{l+hRcO}@L~O^5Dc47Pd8@r14& zidc7nOxT)ZdDY11-m){VPNQnud0+V$E!`%~>8enuG}#*@_1WT({yn>$Fv}|`PJ_{l zx`dSEIM^I5a~A{R9m6+72& zrkh1h_T?uZHTUCF^VnRLSoY}F_xjo2k#*BmQl4ac3r5JlBB%v=r5#V9OlPLXN>si& z8LVii5Ax~eEqQPNm{)su{<@ndMiVvnVv&Q{VOz|z1q2TyX)+aCtK(zH<*d7vL|m5p zxaMU}s}=_rjqe;JB)ZJ7g;1?4^*Lntjers7sZ=3$QR+X7%s?hZa16^&)K|DFs2M8umc@)JMG zk^;hwY;DuU_X!{^0@k;?Nw;6z38JmOS898=w9`*9XLnMvRg8l&Bo#9QcLx8wbZFA90+s$=6m=|B{Ws})_ z$`s|E#SvMfh{#wTSBKIWT)>D-w?BO9Y0*r4<||vye9$hJPT*!>s#a^sKieWW1&pkx zY6t50y1go?w&L5{;#uh_0&wYvel+2iJ>+#BdD+=DOPtyA6~_AT6g|?+AkyvJIGxV@ z((;z4ZJEUm$soiA`IRyd>IT^I+IH%k;7=Ef5y5RPTmD=J>l@sZ9@5~E@tT>wQY|sH zu6ZktqeIl2-vAF1e_A(2Egr`CEg$!c_wTIj6Oj=&9$h?`qJQf_8x*ZSQgFdd?00e0 zeDd86Zk<5YRKWHx!d?4P9e8%=jCx8iZrP-fS{Un$`a&H;d7^78jJ06?Nv>gS|9KD2 z&W#CLh<7}G#-qlHi|}?lpzfKWer??kuhsFyuc#ImOQffuo2YlX4yLu`0^Y^qa?;r( z*T*X_b5tcSbe0qiRf9ZHh8a%t0LSHzytz%AtO*Za-a}WUv{JQdXJ_6+kAabAe2y#E z>*~08dwhBF8OBr;eFDUK{5pGCJ7jDuDP`i_`^PSd8-OPQP!$C? zebIxB6rf+Hg!W4?5A4^k{T;eJ(%UR+;5nN#zW+u_xgOy^Vt+_ zV1jKRFxKd{g?-_bY2Abk6nV`lXoMfaSX_1uHPSQfBC{WQ4U2PBO=LTZ*lt%l8)|M_ zM7~pJa7|tZ`Sp#QFQ#<%&EXNrsN}90V2#Zs1O&?mTTF}ZJWL*oZM1D2pUvyBv$a1p zW&V+%R#T!fS85_~m-R3>C~s{~4L$G1wq;Vt=Vyg=k{fENS|5C*T-2PrxZ}Nc80RiX zfdQRmH!FP#J?O?b?ihf$@}whQCdFx^nu#)C>}x_y zO{=5RW_1+qV#%|3TAZ=*9FeS%r^<)CTcpx zEw$NyA`kaknO77xT+f1D+^p8{j;q18viJ}fHC_om0qsX7kWLMRT>)x21|z0ujwDd(>PJ}f?n5sWt@rd2NC z3xNNLL-t~OnMXO@Ade@d_kN8%n;Y@#_NgVl>iNqiA}gX>%&W(~ZkeK3Yj`9#zlZ)w zonGQVTNHrXSY0^*v<9hJk2@x&y7^?I+5VISy>NUc*{L@;WJ%%d$>sNCj$xZtxN@FF z<<^^2p11fUl*;GMIDKXBZXMYV)AOmiLav2x@*3lpBkXG@$q~69Y9%?U)JHGnK++?b z5%B4t{j|aQ;1!d=S>KT9;e{%tmiWwgRmUK3iv7^iwUoKN%mM;~y8Je;&%-nBTFN0fN3#scdG| z?4&>>R#Vzc!u!m4_{V$=9DVPX+}gLo(Fv>k4*2Z-u?rlJ_NM3Op1ngopK8>R3bmX# zC2h9gouIQq^1UNqF9BKCeL~wIs^`7MqIVXanW$y%%xbgg?V98`m=C%%nS7qa)ehST zHXoTAry^l3LX5opzRpm$)4dn$0lS zHI{z4bSW(-gBvD%=awBU{70!jQ_2UgqL$3Iu@0T{Y*1Or7go5nwtWu`!2&ADbky%s zkIDt@ey*HzV4F%bC@TaE-&V?rHPPm59VlJo+uhe{S-%Q4w@bDmLWWc^I)ps zoQNe#cOmr?xn3i4u2U@+t*_~sThx8MBg>1W+WJ-Zk6JB=MsE<5B|u~jJ~^?UdEMD| zGp^Pj3cZ^u4|ex^6;t~S`Ox8f8I74z^33@8*I{(o-shFfy>RBg8%kle!+oJIl$7kk z3wBQnrGoUJr`)E86(PDShzk)TDj^URs1v^Gjr`^IvpdBROBG*-_-W^Um|rV*JAgU! zu`UH4BFTPa4ZTs)^H@b#&Y|`#ybq#tt5k1!5p&fF9#;vi)e;0E2S4e(;r%02PhBj% zKI-)uc~PrU+m+P0WiX|2N8{NYD51mHlpEG+5PE=KfR|0#&OO9&x|AB+$H%|i+` z^0%b5$nNMM|DZ`UO{bai_JXfvw;zwC9pCJTn2#wEWQs5nE?*^Ws>?i5a9PorE?z4_j&JIeSS|#?|$gRgTI2_}XAW{6De{|Ky)j~cdvRYMRLJ7=KK5A9C|iBQJP{A) z_Ut=Za4zSz8Pe-lijjfN1?}Rx;=*`t%SWMjusR2!(yFFqAJww$=Kj(Ab-vF@!VtSG zo(Za0cGx-(TI_RsS)VtrZVI-{eXU6yYMHbz6U(ow`)mOs9s@Q!F6&WPI3C(+d(#dM za0uSD``El+iszy{kH+#4sz~?VD!Tk1=FV(sQ7lTM&!V6pA}XMQObQ}{0uG>{BBJ7q zh{OB$slMv$h`gw~x~qt)$c)PTJ)X1o_pS8?wOw#i0YQwg1s%Iqww03~Ul0-8Zr#V~f5?{Hu4e!6Vbg;nf5_Jex1?2#|)-V#*2>*&!?;&Jo|Zj(#Wwv8OZ&irD5twI{E~v-5Lv^H#GqftSF8ZH;*Q z3O*+2Cr&KbAn5WioV=Yq!+R?(q_(S_(2x z-tygYdvDh}m*+qV+cg@(hxHr{vP17=DRI%Pm1BZtib-$1>r2V|^yvRe_Nh`(C+~dS zl$X>YWAk%)3syw+^QopSHQ-9ORcqlH}OUh)j%JJ2>HF|t9ykLUgSrZV|OH+Nv5)8Y*@;fECLgAD9)O>H1Cbg&>`xAmN)V6PTFl5DaMs_GS*g)hwfc4_ zoW?B9J-J!x2ItNgk}p7({GRGm5HFwiPJ?C{%X_?g*|2&kQG4V~N8D%vP}`$he)!!~ zx0Dao)3Hydt8Z2wqmA1LEO+o?P@BD+t`9)|^WW_1YwtIDIF;wr0BO9=ho^jvP#Ppa z+T3h*IJ`nz|Jys@4^Z4+-vR$ww^Eb*W8L)c-T_Vek9WYnaR0Gw=4zBGq`_U8nJHH? z^jllwMGPEe)1PykxWnkI%O{v^{;W0+Yl39?wUBs)K6#(E3!vIn26O+Do94=OdHXGj zRwCfXa+|!io>(Utn@zqU zwK~c5_3crxmRLnme;nuQ?{=y69=#SXn{2&b6JT^S0jJlfBM=NCK0SZrx~Ew&{u1lM z))Ch8?z~(VcKZk1W7gkUDT%DKcdqRg4->_lkzuKMPgd--1;Uqv3{5M&JHhFo2Xz*I zL!mUNH(Dd;qKYqiw$l6Kxor~}&X=7E}gPp+g3mPv(RXQ!c`jC_Q zU9)`$(P-+lR3`V0UGQB1U$}r0y5ZQo#@J6FTAM6vaU?#^`Z=0`OF5WjzE!h6SumQs znuGYQ(=>i16C^miuRPi#_Xa*iyMoxs09D?w``6?t&aWL6sXa!sh+d$-`muaJZ@-sJ zFPzHo+a5TlVi%Osp_OSET)n}*rC_8V;5dIx>lb|YTelN_knkul)2NN#+o6bGXIB+46V z*ypC@qX8BI8rMv>j{=|ore(t+89NB?z{45;wzDbm0i78iHJ749^37UN9Pdgn8rMO0 zUVbb}=Sj*oKs!F7wzS+s=aG(Ihd?vBg#axu;(87H9aRKtZNiY|bz=S;33J;yS*+mt{EILc0M%f;PE9_3D1@+D})b@%vK0{fL{O zLQff=kFP4rfj@0p=SV&hqv5y)>T4fqel71L0xVqF`ofg^tM#dp+-_+T*G9hwkn3!3 zoW*=bYz=D46_lw9)fb3K*$rzIAA3Fb(_GyN)||w4Fa#sX)rdrE212kCwcSwGV*8%W z0P|aJSwN!5%3e$ZU%}#Yu5?3zU2$Kb?oQ}Y2iwn9_1@__1Ic`)ylNGVFAM8sh;LiV zxcX+N1K-=WIrKK!Sx{r57io?WLDawCg$JW^h<20!;tvr*Ca-f{T<_bDLv#^0r8?)1 zcSX53^rc#V@AIsw=i1>)-_5MnwK&bi>Wo`P2O={};Ji0D4i%~@;wZQNK>mX*GXw}BpNW~~r7#p}y4Ms#=WrlL4P#}lbIq}THso^lQLR`74C^A(ac)f+V4k#rk& zS$8qqNMa1t+GQfa?+-LMq+f&GF8PHhz)4RFPPP)dD)^^mwk|zi!(`1bI9@Ck@5rY- ztXyW_Fs0^2`PjR}t4%xDcI;B6Eb9*b(86|pO+xr})wW5{1m82#5fv(T!Ih%L|Pa_6KtzbPW>t_`=fH%Jg{S2bdhbf4Zx*jUaV=V`DO_+-AuZ`bNnKN z7J<9)@w%jf(aR|UQQeaifFa}+PUSqRt-GN@gm0zvz_!a3l`{>vE0lnkyz^Lt22s`g z#q}jXxUh~uPM%rFSq*@bjaWBlU=bZu$O(O$HAMcRPO|0Ts5%%DtXtP1i|}8 zokENE4s(P){bH8Kmy7h5+ZXu?M#s+TN6g}i6fxQW&--8~KG9r0 z=uk1D9N*2u_TJPY+chG}M9v3&SYH3987m&rx@79a$Q7seh0yFrsNPA*wh>G1h->36Y{M~JS%ky_2oZ8}M4SPH7M8IGJ zF&tGJ1{?Rsl9(BO1o+;2n`fP8QjPE#K)eNx4Uet<6zz#KmT?dzqDufBxt#_@z%euU z9nq|I(DO|Vh!B#73w`%W?yNT@6a99H+dip$buw?8OQRQ=osCtv81 z7{D91RD3YnzTpdei0XKQ-E{HWxes(-DB3g2{xgPu2a`B1H@y}(KYD7Nn>wmk>ARz?JLcn_Z6dg*@X8JPubFXL_MS+hcUl-?izQgsQX%c8ss2M4a~BFX4}` zKQk~_051DFj%$FoDV*qOHH*@eX5XD{*ldqI*R*m*K!)tb-(M>ufTbVp6!{7b zj}Matu0@;#*C}AVc^<;!snXXrWxHF`jik;scKZ}uy!ZDu9UZG*4V<0C+sdz{fHHf4 zPWMBeq6*+8eiee>{0zWtyRD!4SeIKc$$pbt&5&dtbu#q<;QJ9>@V?t>(RhZ~a{~1a zy9{+jNaJA;&?o0}^)*sP@1#7`xycPg!@BHfzk>F=+PJ{KJGC2mx0YA??A@VBG;;QR z)UF3ddWzl-XPxA2z6Atv;w1`~S@O$Hl03ZbfX}009!$Ovv!*D5;Q(kj;ldRO+XS}i ztX?`luiYOEq#ir=q`yX08i~j`N&|+`J(kaiqUxj^LQ=8U~AGK2h%w_5JdRL zEByWL3(*1FUvl1-3v}yS!o9Yrdr-_3(5^ygI!h+Y_By0EnyP7qS9d^Knw2( z<~qZ(b06P`V*vzxT3okK4m#3rS4>-=z>)9v%z#~yb3d(_L>gu1%?`BD(tN&I5;-VL zHDAJDfl`$@hdEjEF9+n`QEZS-hfP2eqQZU!M#qNm88?cEID*L02?23yqKce^3 z%qz;Dxq6~wccUfSw5|x7Z14kv8So=*)+(Y9T+0I!3;G66b&2}(lyO1CuZLNSG9ZGz zy!g8T<>7Q9Dcf8>>zh7E@a+es*R5h+ZCxI=^rhUZY{XO1J=fjSb-wG*Yt;U9ui}_H z{LrZIz8c-iR1HD&%OVh})hZpCC9{0vt^0JDJ{qLaC2Qs}WK@Gbms^n7yiAf|xgYrF zU;wi70Q={&CHkTR?s_Q!H=O6Emy&#tc%yr zg~tc0byUk7pSmWZ%!u;-{9yLLM-VVy_E@P8a_n-SbaoD~oR787_|-Uo=}W<}gc%1u z0oUuYS9f1Nt|RW@VPxapS#8u=4n5p7y&>`FessG#t`-1T4o~{o(#Zzuw@lAfgCcrR zrFiyptJ0rD^ByVh$-%^3p03vt0$Q_NN}aGyNf_v$narL*P>u!V=RO5*Tl182Afg5Q z=4Uw1Dkels&xEMJ6pt%k?UgZDUc>L>$sq7n$-=z1d@w_LbdwtelAx~z>;s3XOL!== zYdUrK7dH*8bg-CxD2*m{Jo*>`2LnCp@oGxwix+D^kkaH3v(xN6SKF;P)(&9bk2S~1 z8ww9wGOyiLwL5BFdl)Ep5qa7p=N00;oHlK&Xmwh0xM`htrP=TU7sbhH{p75(={r)} zuQzAo_9`{IdO7c6`lQ_LUccR=9?xkmF?Eqgf#spZzRZ!60CA1dP69MXQ7 zF1^cSQx3t|=IQAZY3J$oT0r0Sr)BCe?(LB!U{ol#Ut3sdF(D|=YRF8+IsU_5lHCc^ zoz8BWU{OJ`56gJo=Te6j0ZKGHT*B{Xj2+Y>`#mpEKD{g~YhrXVWF>(vu2HVqxNfzD z+2*(mLt<|exxWZjyTzah!sb(h(z(QZfVuT|dDT<_;)z<#`@8;z1gbbBX# z{yjDiBtV{T9VvJntIda&GNbG_pj_O`jSCv@Ciig0&fRD*xu`?svkv$0ctx#Cgqrz|7UK=nA zSYt*@BxZ?L84schK;aUF*>T8%#8h>%<1E1NeD7-9ZqlM&9l?XolYsIBn=Bk=J* z_ig1=kM_+LNWI-_7h^kK0?1d5(4Z#wS= zF{izqw(3qT3ji2r(tY;g7l8K*J~t#p=0d%yN2(|&d-rCoz%?a);?i*3#M#yK+*=ob z52ECb(%sUo!oGoZ18CUCH*A^R z&Ma|T)GEL4aVvPm>#UDW>FJ9Hpi}O=+-c^Llqo-vYXuNZ-tBy8<~D)4S$wI}`eUbc z9y@;|uLEDud#VOHjyt(5d|_4fPTs4Tyn2sUf{Xc-mI$+ zE?gV_x+&i2M=%SsWB<(W=|lCTHJkJaPTSA*!+)%vg93s(8yCteQt~yQP{GAEg$S&r zo?|VKh`3~+M6_A1qT167Bf{YI2I&u#r;9C`L}MYn3i(8N_>!hw7EXiO%M#?rWfk;* z?SvN>s>QrP?~lOv)w{VB7_t~QC2N^9oRVD`sC%z-Y)_aX2w2B1H1QOoC6v7PWY%6x zBVgY~!Hoxdb?8f2spKFp%4E|1`Iu-}z5ak{r7s=sh+#A0F)a> z%K*hyVV@0=#Q_>jLB*soaARY8d*$XjQ^-R+xW!(hHAm{uliqV_i2$Gy_z(#)$F7cD*EYc$u#m;rIK4|ZA=^;;g2v#}H{W^)?#v6WfwwL*b zHzl>VGVXVPj7U5O2V@M=@9oj~gfy)on3LDfxnO?{UCA7=!1XxybU{K-TIZ)-<-!q0 zaHobGyQ$lgBY4Eyw;z`P@^_P!zj`TDQG8KjfcTNWegB@oKN=cvWrV zbo)2DA7Oy+S>*Q@aAe{F)@xkos2ZgUxn_z-b8*JUfjp7E``E#)~9}^ z^xl(zX>?mNPNbH1#jVdiOn(+G9<}giql3A1sBzG#)uFjF_R6-k(OI+=GBGY4uHHV+ z0{9dkee19h3GaBc%C8`q%AMV%;Q?K@P;(m3@?J1Y$$jaT&fCbDJzk)_U?66^;0xFA zyQ?$!j7eu^yt=p6SyVbrda&52-qUvNz73=;c03m(;l6pN=2@i0kx^-SerZqa?r-`5BE5sov>P{43{QEjw(MtT3`mb^z&W<@gc zb8d{HaSvW})e+}Yn=%N7p6g(j04xQ}OFRgLr~|S!h7q@cpoZl$ZGF3u|AYY%8{?@G zE}1uodb?;lUjj12-qWx0Y+YVdcEhFN4Tb4FlmI7LnsfN2!WIkx6^dd!3Rdkt>+v9f zlf3jxsFz0yivTQ6YPOD@SzvHQzmA>sP4{H;7ZXpFU^DeLU1!bnoYJ5g^!Nn zC}AOYwp3vE-#+o%mzo2lOA0#pTp9_onJ(8uUR7u1GgCFdPTIkqXeTCrT)i}W%RD=3 zIay^OI29UM0Z<9Y?zz{fKF1%?I6)b)@qe*zz*8oi?PBXu&KqN|DzeAwG>S{(b<%UHr-#N>rhI^0 zFKxKxQN)YHqTj4K=uAEjpsH=8U)&py1!0-BJGa4Z)JS6!ZQvvGIDY>WzbyCzpg43D zLqz#bLP`CZZ^lQ{28Dr@9~#B_xpe%n=9892O>F)h%!ZazyMW<9 zZny86E;;szS^xfm_Mf$p3`!BmM=uI)e{NX;mFLSNz4;OR^g9-BY<~wDF8H~v>M;un zGp7puaN}kax0i?Q6{>A-=inQjpf33S?F7?bXYkRHN$oXUN7TmN@V+x<=G9&O22RA& zHldTt=&oz^&tev=UthrUzmbr=ed~&KQnpK?wjTjYXC~`Gw|oa>=1u)TUC(fAb{z?w zZPiW5PJpn7&C2%F!m=aFuWv(cOz#b##VA}=l;XGDB`$P?YK^4_-C@sJ1@@Q##>^O0 zD*N-(vcEN*E$Jl%Wg=rgmIjR~B}4_VHU9c#`?2poJK(^TsVBOG(1#eXtVvWlIrj=- z=sH~CF>zZr+-GOcPZ!5Gh)QA8%g|z|nl+%o;j>ul%i$ccsyg~e3s#477QwOyc$oxS zdaeMm%d67v&FJ)*W0Hr+X>vzz`Ki$^P!E~s%Jgk8T265YI_EjxOy3|lIqT`nu}rn< zpK_*uPx2P%CX?=2!UwEI7R^N)TAat?OZ@F|lfiz%sNY-T zkUw5#y1RhN=@avO2mC4D4!{{Bxf=g#%U!wwIx^aW$n!H+Uu8KJ8X((vLt{3EMx-m8<@Kq&7s{&wx zRH{9gQi9%V&q5g2d7ix&G^z*N$8GKx>hR(RyoK8}dIC!1*1T_T1@x(Nj!N)F(wbQX zZl+&w5F@L6Mz3tDnBpoR?QTz{LeQP#x-z@|zHFKC5xNbJL}O!e%}NnMeBg{#4+G&9 zc8Z1l>V0o7)K_4D|1rRZ?f={{^{tH`-QuUV4tMjomnf*65ThFii097nFyu~EAst+BBvTwL{q6ApBI8ge=qa`(qDq?JbR+HDgONO}(uyV1RET-iv0lhR`<_xE}zth4uNcAadF zGR+>>GLSfaNTQfzHNifYhhSucHXhohI^8tZU;#JcXf>UkKJuW3p8(}}&IXuvu-l5ks<#^s=AaDO`dLYSU$2Z(MHgEDrwkLC^E6P8S-;Zo$Op#7_y|{|)9@9D2LED^v-%_P( zNgqpkxOc4YWBfWWHp?R0RZX_mM+{_A`w=68c5Y5=R7UIWh0=Y7%p?dHq#&U#LYulb z+`%Kzr`)^A8T(bw$6$^%`ATn%f#pi)Vds?^BUIOR@xa?sm+J#Z+#~MX5aIVou^&Ln zl_=#rrH>K_u)@OpRlmUqTxQ8%H77Zo~D*f_;Q|r!a($f!x5mg$Ld-}Xt&s_Y1Nsh|Xn^y{^ z2Dn6W$9y+d&$YlI50nSc1Crds17@OSRc7t>Qavb4rn_ z^KP6P*zcos+)c6gHGQ~+hsh+A&oy}Yx{kVqWE1tXr*!jI{5U;=bu_x=Ue#du$uY1Y zTzl8eFj$xMkp$a`(r&DWIqfu{5CSE*OJMaji=@*Toq!I667$`TI@I(kl#ExF0n7$F zmNrLHctC=_U$^KWmfENFXem}ONtmlFIFB85f2)Yp<6CFL zjGi&HnXcti?OAO1YhMblGW^oPLh$XhC`3}<3ze(S%td|kK*}G6hMOrrEFnZdgGU@X zEr!~<@J^h-4_};Je4Hzl=pILkT=fzNq|(dxpDmt_)8^3pI5B+ zQphW`BQovu2W~t zyfjh_7sp-Io^`ST;oNzoZJf)1P%AEmjYm@$CDerX#&u?T>b9ft%Y0doWVZf8BUG$^!QjA-0HmphXbPgqM0NB6Z>)Hdf2-k11)H;$9Cve zx~*Uns_fvu^#E%%I(tR5t>Tg)0CoT8j3(#onawY#u!`o_rxkjjld6ZJ2Y_;)X|q~( zy3OErLzEgkk)S%3bhmAgLUxulK~$cErLmje5pN~>lSfW`HagtJd*hn$NV0kKS%*<= zcDDWSKtGC`4%%;9);uiF`rf9+=gR2zW2^f5!uPL0TSC)Tkx_yg*ua+?-A=l<-N)hf zoOo~yZ^Ip9m5ckhd%rkRwN8)?mOHd7r2^T%dx3=Af-1?lt5)a8&JUoa(fB+7a$`~? z5~y$mt+1Apu6d3w@!d;BRmV&B0s!YnbQiv}>p9$Y4KhFsU_K(iag4Js zF`#Nx)^8VS`TiW5*TaI74wiJf#v6V~=|SNxFEts)ryb9kq15+tw@M6mSORM2t37V> zIeU5t<4>}`5b8;hDgfaR#K=Bg4e|uj%{z0rbXdpSlhB zRbL&9f`;{c(eMz6vK4o@RoLC4QyCw)=XhRg-LOthDIN}|_0%z&*UG2IErKsQ5Ain^ z+YAH50&TR?{YIjxc+m54J5YS7hO}ps9#LjiX(mF_^%8L3>8p=G{H*cp@u1ou9LL}{ z1IX&CBS6nekyzfcpa%ekzY{w2%7^jd+gZ*A&zz6auf{u`!kw-?RfMCD)~t9*Z&9Cb z$ks;22@RO zCZqrbrH|G_%+6+?yqYUuLoN2!jcg_uFR&~}Q}c;!?dRs=Yh{n^^9`@Hsbi+`z5?rN z1MUR31{rhq(R0hk>*XwrznP5o^cQIQf;>oj=v19$$*?Y^ojTQ$FxDOb3H11UFHfu)KkC=)C1V{Txe1C9gHf;J*KR#ja#k#^s_5J2Ki>Hj=jx7K^Gexg8?=^&O&TTt+#}s!H z3h$5J=Dj;E7K9w!f|&i|K(E2@xN)xJWEiW38&7{EankSiyK~~#+PEM_FBqLW zGWf-96bFjR!VHABVWCi|y-wn{^P3(=zI$yeNEfKAb#m$^%7T=)-j!8Cv4XvGYuA*{3TT-XABG`vy#{tn=5z1?QQm7+EoR&j^dh@{Pgh7xzDGKPcAGfOMlsfV| z047$(C!o9q(fmajDvQf-cHC~#w||1Q-Ndm=hr#o!0O)j6B`OS9tqCAWa>$;_iD#%n z@VNsY<_t^27(B<1rf4mLAEjeuzGE zLHJ~MDz8gSVNUA{De9%W@$cDNtr$gEpr5b=C^VH;u|!QfyUy=Xeo9NU-RvINNHfie zzaRI<5K;jvLF+anIeOJ91AUe|HuBH5C$CULY#_&CTR6ASiuK)4<5?FU8QB-YJI3kQ z@AX9&rb?@ac8rQ3fB*W%M6>e!^^&hzm>4T}1Xhk;uz9V6q)wZ(Uf(jEf%P-2ZK)0fED^cbTW_v1= z7_b&KF$nH*J84}&>S<%?3!PeCEwSka$^3Hn^CS>p_aFsfW-yio;S5pZz#@JoIa$i|Z|%|yEyBjkr~JM!1LMp^iZbQA=v%^c&LZ>$jGY-lripgky?dZ|5tuIqv66 zY^W8o3GKJGfWRk5@}P*k&pNucGtLNh)z*_?b1?0`L0-9Du)7rPfa2*yUbEhXQp zU^In(Q4$}A>A?YF_$nclaLu~O-#x#rqtwN#7!UMTECO}!;bDTX0drf)#r-V~IFlRU zSsw9DL7d2x3B}Flt{wFOwco42v!F9+qaHVPYsjp%=543EpsZaA_rUi8 zXof9w_$JM+Vz;Z6_5cgRj|-X(K)lELd<>}lx0}W2JJuWBob@{UVhNxCzuM#7K|1$`p!)M-prc)_IKgMsYz^lL+zND3$jelkT+^Ioq=#TyBUB>e0{glcgpjv zFpD$oK+n>pPJ#`i#(PvCXCBBJ(C0x7x^2FtmlL#>SElFeS&6ggy&l&=44~!E%R*f! zLb&;?ag(ZC5Za(Ob1ZUnJw0s!XlVgWeYL#W)sR&T{;prqWHFkTD`)G847Xh|ey+7{ zVCntmKFj#^Z@V8YE|*thjb4kw-+(gIAKco%K3e{}#w6;G-QT}@v;d94|J|JJ3%qj( zlHLVmF?YXFwl8%XKOh7R$r9K^wWaM~8QPgtIuJ#7QSHlhGh#<|cZsHp>yiJFqZJw= z{5!bsjfYv9fnvPv_1Wq->dO{W$zy2tONN)vdns#5tM6A~QdoH7`?R>{x@6wp7lm&z zRqjWDQRLeMB)1Dg_?an{mcbz4r{vi!`tTADF6N{4gg_>RZGTsriji$z%8EQJ7faDF6ux_w<=-OLxNvph5VEt)x?F}9^V+5RDve5ow%*7F z{UTzP+B&w2<*nnT_XjaRU#F{k z_jl7)@m5pl5o<2Dd9PDfF~3X*x0sntt`Zk(r6oQGDABplCg;iIXCOG6JX_1StWV!t z?8-fulS8PlcVFb1E8s1KLIrG*>~&B_oOE&tnab|_*Wk`s=@q$xsJbHOW5&JzwEuF6^FiB zLTBea>ciDV;K6DnfvVrf$*+nMTI1V}bgjOI1hWG_2P`0-;C1dMtp;pC@6?5>50u^d zBTdgg`6xXr4j{+Q3*HW`-DcIa9-aJ(TOl8>>q?h`_Of40)!bTJpOyz7MuVYNhWryo zo)&G+GTzH3VC=RwRNM)*M#l%rS$p5?8{iXVEx)hRGBD>zX;BPS`IV9|!R26WlBsv- zJTRdzw7Wa4=V)|EqdxW+e_r?zyY0hBE+pWx+wD3)>`{Q3UqM*+o#XN(0$$!8ZpDv@ zuw0n0Ie0l|@>l9w!rXv9>UgvTrDV0k%Rk3PUg=NoQ)qZ3%ajDh#tzpbhHC4=3?3tN zp8$XCRL6Y{qmjxE8lftRkJG^P(ni>=ey4@2F=cDSkgHNODX^Lb$TwB$<(LZH( zv>z?B(`y7A3_v0$myPQnJiXLnAB>R=c&rd50T%!{mrHR#27`_TAbT?;p}JYkdd>9x&)&8~ zfJf<<*sV3LVktlR;Vt~kdzWE1YeAd2P#7>yW7ufzd=LKt$yNHgQKJ1UT=;QKZDRoY z7|+fjPS#IG1z*oQeZsx&_;gdpD~JOj-N`iIiBgY<`_%!4zAnFW)~?11*e%oP0svfT zgy1q#clvFwjjS;Sco)hWXQ(BUZ~u)0(js4T&bT!5#({*07Jge$&t*LW=U7}}#Ol5W zcMffzp}^h40?kC+z(btxIBoKFL>2^ghNP#q(i)R7T!xDs!`yry&>k#gZa`YsJ|bIp zf8;h*iiCGFPr0wFATo3Q60V2T)ZNAYwmcSpw0x~~YUq>(?=xoy5S!*DJ@@?v z5EB6#W{S6nKv_*3l|E1V*nK|fak&4&6l@PStz%8-`3VugiQm3Fx99hs`_i-xNIKK) zXw~YWgzJbaH+{Q#ZAx9vHc_J1dWvsnp?H_cjd|VEn)tKun5z#sw$j*jfhGckYadaj z2u3b1X5tl7!tOI4)%lFG1{0wSh#h01g2Imga7~vCs)^Ex#||?=w`%h-6}sl z78ST(%}0w_W+ji2f=!^uxHE+y4&PK3gK<&D8bEC)Z2jhT<6FVh9noMYlcF56txdJ> zAx~0v>W50*?5Ueq3`jYr<$Fd*C$veOvk_5$%%r+rY){(6TLjyab}@V;_-kl9uS>M5 z=QCqSwoDbruW~+NE0a2VR|aP*na9lQpbcLdW~nB4K950Lpuq!1q_qGN#!5lnv_%56 zdDmg#?tWjc1gMFh1zanX+l$-Up$)iQ@RUOB*bT3L}!!DPpp9=ncvVqw^%r1PLpX_wgn}j+6ElT!?K-J zHwE|M{^-US1Pt;kyPVkxSm9mgIUG39{lJA}=1nOOEvB79o1F2TZ3?fezebyLz8mNE zNVY(OZU}C>)pPfy`K$r~INAvrs^jz~-=Z&FxOxZi^#N~j8wLnD5=8^GR@m3hfPLF& z=G{*bJtI7M^i}e~o%rg|-QS8+E1n+N>sZvQErHLbfS1=UEz8{lSnGIG;K9zi^D4@< z_n1*&uOJWPYd&bVE9(9O@;S5Kl?%etzI52ov7NM$9>FArayDc5xY`5I0qeG-FL;Yq zul(?HUQJQ$7GnjX!e2J@@^G)Ku)eLx>b@6Mr=wZJhmOxJ+5i<(d(b!~MHjZ@%uW&7E>tQBWnss@?sgSzx;3?wma-jDhUBi*0-XIjI`>Kp|QlkjBi( z`BTZA26d5!dSS&-b;q$*zJ#$9o{Y`szVU6vtw8phm$LQiUhmb{1^lN%dp!H+cqe-+ z)LlBW(rt~tC38#OC#^L8UDRu7I1rjtwVYdF+fFx4g}wF`%xmT#@y*J+Gy)|L>|lqJ zKB!Z|q&OF$QBR(u%V!G0PI+Ui4Nuk!Vdsdy=;*%}JknnjwaykvLtF1J0Ag+qZgZyg zsKB=v1d4tQDgH*?(y)NVLww%5i{W-9=F!1hVzp&9%@d`xuN29Hr;y9^t=u=()c@ zU|h1d)Cc5VN}nIw8B*M^6cNiy2l*5&V*1aka85_H>TzF`D*Hh>({PY6tGz*)9~ie$ zpvkC6%Xpk!FDyCqVg95iA$g=tAjdedRfU&vxu*H$OYXL&n{mV6G;*`t;NjciSgFP^ zdaV{WSK|k?B2TkX{mOG#w5F>It#zHJC7|>4wYY}iuAFuIM|bnt52%4<-OqDuc&0Gh zw#CZCdXyl0LdE_m$H)Fi2f*U<`&Mosqef?_4NF3&@3ce6Q~)m5T_yKzG9O*Z>QGq@ zN}ujdxbV>eTEUlw(>us7^79zqZzt&90xd!RQ!68E(Ya};P_Q}j2=m}YyDHYJ%_{jm zPFu*NY)L>+xH`|!mGfHc_R4le7(cWmM=cd1gY-2z)|RnxY2i4grlUPE*t~m~sNX?q zc?=dZI|~GKdF*v)6;Fj>rxoN^xu$ICRtx97BFA&)bU<;7Qwm(uX6Ly>Hw339`DUn$ zK&caSZ>Hau8Fntc=yA9#>h*H6X9wrWy9#C|U!w4cOl6#5v>r`|&lA#Ue{3^q)a>HUaYpv4bfCh&QBn5y1X6%c7g!mPVhVy6r8 zf5T?^xe6cWc6|mI)3r%qpU8uL5h;8oQc=uHAOZ*j;29rE>)3z~_W?1F56$r@vB7LJ z;=jPqD*e+%=`Tv`KVFpnyE-8Jud&L%x+rz2?q6ex(@&a5fxPU%FS1S8oyYSeSwz8l z;BV1yyA3c=2lc-TBv)kQ{ATCsJnPf%=l1<6w>DTW}b#S@XBA3MQq-rv1)OQ+8@>b!sfJMUw{wxXZWhgG+ z5*Z7x@LJ0Q$$0L;Wr<1XR@ek4l%yZ3w_4^t&B#FIBm9U_-8rb8^%iPb8CGOA1>*_u z2!=!+R-M)MOyfiFt)$qa4_r_?+$>7N(+NXTUE(?<`UupH+*_swCk>>i)$e5%DCX6O$Ut}J zIXv@x*DuoHIxGX1@MssC!EYJe0lH->j?h9An04;$}eCfo}B#+HEAOgEBdq?3X+x zuYXt`W%+6pYPec9OygQAHAS%bQfXy({~xZUl>)o zZo&QTvv(c2T#4hOKEKmzcB$H}j93=CN;JQ{+hEy8yOTvaZ-B3eS#iabr-{=BAaE6} z9!&(!Zz{Xnps=^mHu4CK(exeT!P60(H`Z@ zR2qf*Cy<%^#-26Vb)T(miOr)q2#f_%2FyXnN541r;BP08|TmP|IC-s$umHmp@OSfMa8Q$JRvd`orqCq>g~ zRji^@TDQK^U8jnz`St)j3whP;zMeVlhS3mKzVZmd6n$8>vKq1iL z`KD39+y0>US>!gxFC$TxSt0|w^XO3-S_}UuJ-S`ac&`TcWs{`810spqO?hE~CH4y_ z|3(uGNM2CAm5$0r5c*WqYI%m=(u;?7KR-@{a-2oZk}STBr!O>!2fR}l42#E&H-4AF ze@pok;=8de{^TXt>zkwHr&hzsZD)IpZ2F!qUbE3@9@AqqH{FT#SkKOnCt%#L_5ywo{xi*t)2l(9QjbG!vvwqEA_4Ho+ zW&#+;`rzI>@D1Z~LgMXb>3*M9Kzf|m70p+*{6y-F!_90qd)Q!3RMfOEW(uPo_<=S8 zuus${-#x8=@3UzbH$AQ(uw>ae)D9CxtLYc;!+@Q92dRDvK=oZ5h8H$TSOW)Tr3yQy zJm@t(-wjIp*7d>oX+iAzeA%RPaaa$Nfdeo)p??}dQoOueN*$48GPS;8=5rT+5x?rM z27<#Fy&JUa%UY`A2a>OpN^OY1fJSDvA;yhj8SgU&9X%fwe>jW*1A{27UhBnau-@P) zQ)o4ez3t}r=ko>Z#qYrKaWLfRWgBoa4T~I9|MFyO9-X%N3jjs4KCh&Nu`lk!?@KqQ z{#u^}tGnF>+c}NbCvVn&g-rz<0YkN+ZUH;&%xMD!q5|`JJIx+>cg`N=CoD~%2@vrl z_vP_kuAueL?MhE#Y1!v|j~<%C5A>;m!~n$p^zCTDT*%XtWOi(KkDQVD2Ifwm&282M z6v(EJPS@nXE?rQK1xa%MinK?OQ@7cbL2_`_y|f#lEPN0&l7de3fD?4k1Sh`VcRn|c zFQ5cnxFHwxA^D}XM@d;xkzOOtgQ>;Ii*Qykw#C39*x{)(3r`QF^|J2v4e2lMd_%95 zj~^cF&lk zQfX%&{zhE{NLR|)Y|Umwv0Kjh2d*%Z)_Yw6l&1ww2oq+p&2e1&?JFp{e%iG<4dxgh zfJwMwrvJ{hmtHd+AZ9q#X3w<%xX#cBoM&#z!(Z$l6!W^%qjzxiwr+$Ss8gdLESuZq zcF9akdoiJwBgxV}!kgB2Sih%+b+X2bj+}nd{2-WZtVip4UDU-NP(^$O<~0;%vZp-Q z4&pW%3n!V(rQ@wh=m#njxhwfe8|MbJ*`&rc<;inxksEj9Y(c$JXEP(^y|8{-P3?I< zOY2n1{SO$ZWvM&stylR!+(YocD7F7|5BcB2{(m#liT|~6`giw` zPVfI=c1s5yTR0djkz~s**q}2qm&gihCa24FSr>0j>)hR}u7F3$5(1D3eOg~AOuRKE zj)yh$zA|JG@o9pYrnj2dz^Wus3oxDp=I8qveNwtOaPqwG`GNjoPDgMu&K>?17YziA zFbg?*9dxY_ya_=E!SC|!ZZ;fBv*rkaSTMKLUIUuuFu7kjm6WJb9JF|5R7y_nay=F- zMGmw8)Nilla>O#=19o^qUIj<1PhpDNJOeF8~A96}tJz+^K@^@MoLAidNzwGkc@Yo7+TRl5x z`Wg{)8`&SqaF?IlEKf$v>o?PhVu|{K?T!ZOg4|aE>*vhKAzXZaQjpsqEs=jv=^7(C z-6%GJaC!2XR@OYmB9#7oUJpt~>?~aD<|3+K6}rIQO+usMZWwu>F7zw+4ULyh`~7f} zGPgk3w?IiSdDfKXAM)Z3CD7g$HMNE)H20}-nYPDvJ%GZhvjHt#Za_Gr&T!F7o!gR% zJZ7@Bd9%?K=v(?&!!maVVw*$*Z4j~a-Ar#;G~Z55cC&ppRx|-4`IyCPK32b+4ESC3 zzN@s+x?qQX4DTN zO4PEXTpN(>YAu~C%i(moWv)EkT*1N30}9P~U8?GYmiW!%fu)`+4N1MF?F`5j^C~Tx z^=V;USMIfhxkWc~I&W<%!+sL2KFBi27OWX|O#5;9Ue4v5I@Z-bHRYFVNQaxI%9**i z?(iMTD}>@`u`#y?VDi|MK9rmq%5e&N)UNXN6R?O*R))5dpWTEsNlIQ+)gBK z1KsraAUHq|Fx{viypz} zCiEzv8w7LxCJI&^C6IXKX`p_SdVJ&BI+lyeBrD8j3iwtjy= ziGFD&Zm{Z)Y#%2>t_1jkR=czJl2JhyB6C`-mwVLZgqa6rz9{EK>YXDf1wZ;+k1f&6KIDa%Btp$X{g_MOqyQu4@z*Af? z&k=R+Lr&oCdsb~$BTB;^oN+jvz@2Qr@% z8g#Lc+)5tfSI-R8KHwBPH^H1-PJaaFz3v{zyG^8^0$kxG3FUdykrwnrzMi0#cAlT% z({omACwxS%aSNMmPMfB3Hq(`T&yJ&bDFTQ`^*qs(;oO73gdH*<_3lU#?HE8lU*1}e z4kK6jy8E1gkh5$;OtPZ-cOrR_E07hmCfLRkSDbikZ=Z*179FXcjRNjWtc5&aQ3SLS z;i`YWrN7mT>(uu2XQ~y>dcLsNodhh_K1haI0^R8w;fxktU2RR?p);;Dv`ZKT3@<+=5o<;;`dGo zVHk)4d*fB#R9DS-5(05G`bL0%H%}*8eNwF8bI_=+4v+E*tRm=!4u7|uYIgr7m<VKmz175g zJ{GaYj}?x5AkK*y)NWw2!uQmG*volUH>R`U{$!UY^&$qYdaa7`vB_kNfY@ma88^-m z?>#Fo=H}pNwCAJq0`P{~XTfD^>p%`Xxm@ldyHq-XG*7JT+83Qafxs9 zhC6qbVVRAriM4W0Tad$XE^mqht(Lt|JhNpqWctS2B7@GU|EXhuwwN?30$?{#vzkyiWJx|mz3t;@EgH>tN@-LezB%$;=9;d|6;J&&&VfH8+Dj& zm>f=OrP{9|g24eY%4kH-zb0P=U-X+4KJ+l3jje21h4-sVg#a=L!Ms$Be>#W##jE|t zbJ(B5&VTeA_SZoBU!B7+68-BO_6P7VE*DP@{DL>UV#8=}f6P#m#{=5tB z3h6Rpc^j-Bx3FCyNfMi!-j6$N_HpsTj_c?`XA6)#1j?m(Q5|81_P&c)HgfCt-1tdd|5hC^AW!Wre0ea962acHhay-OpRJXd0_wTj*JKZkTCSC%|I&lTLli|y~STCVWufvVGrC1wwVNK9Sn}| zLy+FwlHqokrRi8;`lTj3>d=9x7M%Qyt|DtWeU;tyX%H04nz>jPf~N2|4*_e)E9r6- zVa#)#))@AlLb%kqqK!U)?T72@A`ura;fUg29fzq;Rz6;iKXLt>uX-$tz!W!6DgR z*QeqhAM?*oW>L9uonXu2rELFJ^kVa=bQ}e;h0~8m&0@WviA>cDrsw67T7qepRD-+j z?|MG#(>G%&`W-s#S6RC5Q-gvKmUPG8KU#Oo`eJ#AI;eikK|vc9=1!c)YIOQql;Z9^ z?do(K(`w+4_G=CN3Xj6&5+9*?<<>Y-=9Rg=3fbh)#KQwp`0BTrf>wv!nlDXY5raBca8X{} zPj*zh-3s~z2C4H^d8_}*K%_7{v#X=G1|5W2`P(1eLuZBXEnpdQkF0`Hw+Z9iiS>$U zT(`9m->L&9>1Pj64?=BzQa=r5utWGO41$!<<8H^}6+J##w;6CJ_GR*hoBX=}M0cI! zHGEdoy>kiF**ij}xBQ9>na?Q)r{O7)Pj(lZS#6(F;NH@w_5<7yuQ%$J?BC=1vQITy1h<*#4Pg#etld2LW-|6>Kz+tUOk$t0wB`^c3)!>dUbuNte z4YF~e`u9jQkRh|9wcF+=zwzW|>I zXVYsGbWws_ytjwPot*ZT?-VMWK>hS#-Lv!hO#z)s?>m&y=Rn-C(6rsu9&=jxTxkHO z2ct%Cfqm^_{@wGRtU-Hb+8VZ>yZeI!^X$U3a|R+khwPSMlx~Eo zS==1zHZQQJSazIs+v@Mn^L-3eNl(s|tFhkK5F z{Qy=s#aI=S?y)=dm)CRihGlP9rOW+p*XR6X3a>~N4xP~VZtM05**3g&oQ&u;(j5Yv zV&U*yI}rlTx&`vb6t1n69e6<7+9g01#)~4-Y|a2(^#zTYcLo_hS2+`dqNBj^PtV@}GwQ3)*U%11Kdfx$_;=;LI`@NE*Qd({X_nVV;-$*wd z%-6%>fVpo$caTCr9~3Icdn`4Fj{;@dXJ9(@Cl&`Fa_gF9Mg4EX#gqsTYbI|={g9PU zd8g__o2riZlXrQK&xke~4L0}260b)ia0NMIt&xx)qP70y5~6y~?|$WItPaE8qBR># zR(5OX9Kt@{D5Z}}c_2=%IG78Qt&LM17S|x7l)8>uS9hJPHk%iOYJl}Z0)r^mp)Y8G z#|{YR$-?IF8z0#g^_bZDaRm75Ctrdx_Q-82NBQH3=JdLGU+gAysffpTu@qQ?)Jsy` zI0SnxVO`C+aFg=jG`Yi9fBAUTD{*aqsoj_db{g-tpc|G?pkPFBcknii1qh6cfGpJ? zXY;cCSt~n~g@HR#YS2qi*je8$Gz-=lfOv+-?@6(C zsb$R{TBi+gX&5E5p&qrXaaR& z`#sAeryD!OQlP0|i1*KE7f z4Z{@j1=hZ81Bn<>$szCNAm?(MSlQtOZDhQeoxg0nuK6uzsYknUYe#}3`*M8T^S5J* zj6Sh;5qHOF-7=ag6FFIl)UevSQ?|r=bPk@!+O~7w7bC9luIj@zv*%kCPZ_7EueP;i z$-RS$FEd-oh1YF?Z8tw1U2hX)GO+I)=d+zoAAoCG>SeC;HzVKfyKr`g8FyXRFj>1@ zz%=HI;P4$f5ixXZ7RItFRNYf!$!r*+BkLpR)y+so=1>tE`^f_WA3-uT)XMlW;K zs+MQ%y3Moz=Ki%lZ1HbtwCsyR#V%)az_q&r*gZNVp2a;_OX}N=$kpfjNE7RW5V6^s zi!P2VAaYCeqx75W5ywsr;5;$t7XpxF-Zlwnmo-J~%yhi2AaTWKZ)_im#dg^Tdu>dHq8E_0L;ZH){wUXN9fs=_y#9#HmieKg!H>_dG|{=^Nn2{5%lz?g z(#=o@A`PeY1>NQF@7d}b;92p!^sb=PTrOG|$NRT>!E<~1k9B`N zzoFB~m?z7ZJ^Qq>?sZ+PN+7Q?JxcppxGK;#f+mxDK|FLsVZDW4)gtH<6qm(`18Lm)7D(?*d1hK|2sf4%q zI2~Cvam{5ANXV$CV?H}KdhHv?t{uWnyD*<=y=`rwug`!+QmhnC&Rph)h5Jcx*%DnD zgBW{p{mzzQ_uV7N z={>oTY4^eEsBwVp#?Q#;j}`C6Jx~6MXQ@uf=QgygTI>){i5A~#X3n5eUXLzEQ3jdV zZmg6Jhvv|F3I4R0=|%Zok;BK# zi|5+U?o}JBf4ceqh2s9loByBd^?&o`-}`HY^zUx|1o2m8<_}AJGNw=;z9>VGMLLyU z+*M_|c)7JFfsZcqg0&%{rs7Nr%6bRV?w^hZWgej1KH^G$OkY0Vadq+N4UriC!X!Do z&SR8fH^~WHa-z#w7Qhy7I!IKvqwdY+@;0DYsnor_UOPOFC*y^kx#uCueo*1--Z@}XeEtDif1h&F&wMHoOThXHbUV^?TD>FRt~D2t1l zw+Cj{x8^>Y35dAN&wP^{-LBELzL(4)i~xbA-#DHgzaKNcJH^E`L~2-6#a+NL6RuAo z?|%8i?3~uWk9!pB$OD?U8V*^Y?vy!kYCyS@T2e)D@$yQp`4 zG^c?$x;0KXhD`D|3hra~p*9?2hT(@F5NevX7UTK$PaA2z1;5tIN`-RfSU0t0h4aRa zz?B%Rcnk-c0)1&RkKZ^6G8Ja^rTat^(==G8wABgQFH(oIjqbOZkL(nQy-9^`b+`r&vhpaG zG^X&X4)>Zf9%Vukj!~=#=|BOj+7)#7Dc3sRyn>Cu20gAthe@YeNvZeCGdE>Q*p=@< zD44s-bl>W*o7Jmt&L`Sr)+x6kSNvh%^E@xa>G=XLjyFV6>RB{`yWPR45%hZ5{C+N= zuSFb!{_!#%whH1Cst!0TpYZ(fw?l2$Myiv&q1L9YS=%L_t1qUBo%w6l{6I%{-g#f} zlxz(e?9<^|3+~?S^oAb4ZH>1mCIkKBT6Q1)2rYlt4TSD3&s;~iseshk=B@TZRt7(c zjKcCJnDD(r_hk`U?dD#H$^Nz1+J;lAil5R>X_?j1VJRZgG@@SIaocG2*=_P{G`B5c z@l7g3bh$WVkR1%G(l}r$uQtlcnj8qtDQg4+a*D1gYjdSTf3uVz<~9dopAK(+=71*s zI}p^%UYFDj*?*Q=i}uU|L}KC&{&w)=$@^LTjb_BEtPDk6ujS=)6J9R7RqNCf<>ihC zb#>&5UrdM8#gFo9Y69j#)iXz6>I3y1RJfIN3>uX_%`pLzCZ&&i58v&od43km=87D_ zLi_Ep;L_;4N;tTriw|^DJ7}$@WC*h+ksMZHbMc!tw!AU59X`A|SmF76^f&X!DBR&$ zA@9}Mc2|Y~DLY**EWEKB#a&9O9XF_#Gy|M(kfFv7W`hQ~jmo$X6esOmb zX5IsB$4;l%Zr4Bb{Z&-FPV}jsKD~XX1Wc$-lzpYn^o4IPjY7hI4)Kf^Mo&<#T$Mqu zb5<>I#p@Eq=d0)AEcL(eBK97Y_h=*WVEHs+0Ua?vJjtt5mNxh6rI!u%WjI~>xhWH3 zOl%Q-o0}jqcP7(UW?CK%ti4XE@3Hcr{JLHMxCUKc!h3^Jq#>#$8?>HTMc0T$$u$a2 zO^=&Oy}ITB?{0b>Q>B6quV0n6k7ONpGDsg~ANi4}*}n8@tk%5`PJ7m>vN#1YcT0dq zE`>nnI=E?z$%YZeFT7qX(R+3vCK)1vgh`I(p-6V<8*fh-^r;o|NYp3_j{79hLr9XBHDU^-RohvI>|2sZA{zh zt}BqPhr?B%&@~h+k_B45IM6~K%Tv|i!IHG&7nOz9>1!xb_JA*~zC9&_m-8%3lg*E- zu7E?i%I`OzxOJ`FpmS6O6dKf_YCV(krkx|(KZ0lfXueVAMC+;Yb?)Xn^<-wc*J_sh zSZY+>gN!3Rf!Fc*GmkT={(~VdpOyBE-matR;esv_pcUNJCZ7#4dZKVsfRuDA9WHks z>NW3}&+Uy=OKS!5gSFr$$h7sNbB48Nz@5n!ad6Pn2Vx(P?Vj+j1Egz|*EWoomJiM+ z9h51?{G@dD?3b6c*XL4s*s3z6s)BLV+T~kx2aA)isq<9~sG_S$B9LdjAC-Put;gJ7 zc;i;A&(ebR)j#(U&V%Ywf2uW|q3^n$2aA)UJ69(M?7e3v^=YpyiPrYi^s#{!Ef|PC zO_QOcXz+rsaS6Ojuo9?YYkV5iHlIZ!X}yH({wn~Va*9*Qx$DHi(G;grA61`Nm9qk2oI1c~3f z@Z!5$tPNOtZv`I`fMf>;zZe^<+c`8^ToMgB;=^k6?*S;-(Qc*)=V*uut$Yn*q2rH-|u>>>IqigM1Ndm7pfS6;@58k|igj_kI ziRaWjd|O&O8phrcPl-*z!mo>ryWCeAwMgON zDrDoGD+LD-^aih%xeYOA1(-+keb^PmYr9C%>;a%x=}|uIGee$Vwz!#HGObr30!b~Q zI2xqS0%43^SO^@4N+h6AL9Cg8bX(d7nQ~S=O8($~x_i~H| z8@!sUc(<2r zu$L>RKmYpr^pw=FQmZ`U6441NcaZT0z;LzWfRKUOJexzKc01R=bkmKI#e8BwLn>&t z9KoCgr%tnFGw?GRT`ps`eOg=B$*S}1FWR_NS?Q!QYV78XlS;Bo$66{A|Cs_7_XI?I z>|9*DNA*>&_fhZ@E%tj6tU2oru;K6uticVPs@(~^^gQ`;6F!}{%UX~qYE$}8U^7{nCE)NTH=3dUKqARn)f z{V_x9J*{DYM(ySytp~xRG-obF{vG?q(nH*iu}ODmegS*sVOg(Izq;E&G^VYGglsv5 z6M#+!C+V^GcjRQH;6Cw^=SRTa`gOnvp!JnY)tzUns&GwGVl~3OGzjD5XKiOCB06MmQqK|lN(IA~Bv6ZcC$^=n^~dA4s~~RAVQH*P1l%42z1 zu+uxyHebUa056nscguX*8QBN}{$hV=ZfRzNQ%t>XyZ1Bi-CVHPI=R-bngXkUIQiWl zCj&bsIGugxh)f_{Lr^l#h4eB1QaIYIrFLzK ziZir%cD2(5O7#1698MH|wu&n|*uVBai4CZLx7;acH+C@)Emm3Jj`V3$Wz{WRnAM>> zuk=T1Fo98u#sq6QACI%b*T|W#n-rF_DQ0sd3e&93cS&|#ho;B) z3xV}EE$@qqK1Dr16<}FeehjP8xHgOD{!L$2U+8u`x2{)UZ6w~m?xV(?pv6MIvS4|y z21<<(CSSm^jvMnsE-TyjX5F~IwMVbEeoM$+*#_P*o-m(uOiXG(l(WgeMMiI0>mCxe z!*aij{Lb#H$c~P9-ny>FLB)Q_wOMD-AM~mNZRiY-lT33q-tX&RN4*=izQ^a2R~`X( z*#xaND%1obqYnQ>uavZa1o3}qFsC0XP)P=>mEv!g zd!MEZ4X2OhGb{_#RA4$;$)3tpa#KBw3k^V3iR034)t#H>5U`Ba>-iqI*<&F0<{vckFhh~f z*%&MAJ5~9m#PrFTKq*LjwMF~M1?5oKZgzu}<~$5Xb7CO+e9$4HK^T~Ow(G|G&`TBp z(?j89={e7EeSUc#t+KrF;|IqeBL7-P;1lnZtF*K$A`P49u!@ z%y>;?g%}u9#78e{+x1BNSl6y3x9s(i2+~w>HSXYp=YHw_^jVoN)#S$&Pc;H<3(MiA zvI)|;HGI*GU zXZdq_yy3?>Av#y}&HhMyx9+7m(iF~q-w-F`+plV2euNSIi&LorGm$YlyWoY9KAFu87~Gku zdT6Z~YBj^Fy~;UTr|cFaZmgkg*@kpIirtZ(^m_aR`GMUg6yLl%+AzF$VkpDz?nf8u zDA^?*&aE$`LK|yF#ONZSc6aT6hs+WwfW<=jx)6HDOL?hYifV(ZTEhni(q1LSd5oCH zGdwmosSXsVC(H-Th3Odtt+95&ZRfg4yQO9woIp*hS43cMWh+)v!pR=>9<^x2u?GQFvjCOFL9>7xi&d-ewa zHX<+$ZmCV7rVNTJY}fEJdingEo`p_UCP05#F~J}^(epj-^mtdJB83T?dJ}Col=9IU zEgQ&puha2zV#mgkaw$T6owgNhqEQo1S#U5oQCx|vH3l7!5)huf^}%fR=-sq1F6fGQ z6!)EDBwScjdN;yDazKs`CG?QawGWT$!8rRqfneu*e(Q(cTEDDXH53-WyGe{jzfv7g zkn48iNqE-J-1lHlnS%tgYfBScIX1>igekV48CDA>6O;3lp`Z?y(G9fT7*)*|0aV9| zExI_(lfB^@_um-f>Er4I>P9T`8udUzq1bDc+x8x5jEK{lVqh4~9(mxz-2vShZBt6X_a ztWq;z#G=87QT_Gau3lh7a0uG~lcRP7TPh-7X*WB*2XN54;Gb4nCUt7X8_UgTAJr{Y zRlxxI+*%5+<-JwQM?2T9;DFBENPdG+48HKzdHR?iab_}+X48*lP61_^-E1(JYFNhr zFK8ctmTJ5&v%(LiyPy8ON`#YWyIe8!yQTsC<Jj0=g(I3jnXXS01%o;d8RvB=z>d>#3b4-)R(Na$D zUuwSq`ZesyrUflN?bVZ9Y=@#OR)R1yost|pAX(erw8=pR#1H{p^hslxTAlIJ*w~dj zc*S@gPD|r&Rcg0m9@7`oc-cjgx&=lPK#wx}Js~u_C=hu&df~{s7x1bYf$7CGTxQ zTRN@6sXIdY{^tNJs`8vA?g3En^p2*FwcU5i^(}G{lvtjEy?_%dI_AixERFXkf|-u* z=A3^q-!(}2c-?NH`vW8+<(ipv|3%Gc_%e3*=grwtj@Z@*<-(A@ zAy`+y{{4mC`oX+w6_qGxPDB0mMXEZRwLEP;T^)TA7d@-`$#QcPA-L~&i|(X#d_9nB z>2dMpow+ELw5lmR~syl#v#)1eK5G%ck_Tgq9pLu>oqn)xS_jx*DB2P>gPGKG$w4dmS+AfW40Kyq%^Xu$2hPq4-gV0lR5$ zQF?txHps+7^(#3@N8WWLtiSXur=-%Uu*13K3M`un$1FaMs!LnvOAX5fVk&%wG|#W9 ziQAQ`ze-N#IQ!@{-mhhOPk434n$8S7C5);;32lGVA?Ny~`|@#ER%OY~29Mjc=KOlI zH0jO9Z+w9CwhcqLt%lI$$Iq;Rm@~=tw&kS4c=bH#-5h>5TcTaL#e8_vPpu1ozGSoU zWODW*qjsOsx_umx>YU3i<>GeN>YG!$!juy{yX@}TmWfvMKDdk;0RIfL=dycG1g>u^ zrRVCWB7!;C^7Y53;Q6gWn_uaNQ?N3>W(|l8g3G%*_V>x$SIDeI&A7-R%4l?dv6TW> z2YQprD!Lt-kojbQM-P@4^HFU^5nTbIcM4}(>bAK5Y&xZHU6g`BJ2D{vL1o#6_3+WCjs0oO?V44^+AQoUSzavpmouOA3ca!iTp;mq zN0=Z%GC%k7PLA2@_tCvMRW<-W1$}A)7}}k9rbe}O8mv&+>OR?4Lfw7{sCk>t85n5* zCqv5@z~MR2(Av{}Hnykxz)DN+kEZVdSqLtv(^?g7U|{E@Y}n{PTX}oXM{Ulf%A8;5 zlw04GyT4(A&^-!RY0yftY#lBQLmUSKAS*+$3%w^m4W5i<*#l%q;dce-9Sckzf50y) zFhIVqYIzPc^|1SvtUKKYBOt~$Arcx;gJJfgCgZbM#XdlUN29UG=_2n16RHKZD;EC9Y2R_8g;{i`O=^=C#YBM zQLiGc!Rc+RHo!kSgSM1H5$4_h0TtuH;f8N9VVMs*r<@sihl$OBcv*#q=M|&*y&{Z1 zpWi7(H`;4!(DSa_9Gtr!LHIUL?OW^e++Cg)UpmWSn@E9ah3{oJb^cACE3S>Uq*mpI z_noROJ;F>p@x07Dqxvr=Q+L3iStnAR<-ualE?{=mb#QvA9?}V4m6VsmKn;F~@9B2Y z-R~6rS)2-R4+y-At8)+37L#W0+T9eHTf8lmdbiQc={k_lOWFRQK>Dh+du@7NUzj8& zesVBF{h1Oh*iCfx7@coCb3_ylu)T-<#h%~co9*!XCU1={QYk=F5lj)CYh|c3g37K& zblBw5nSK+5?f+&>uK{t_)>}8{>=QrL@AD<#;1fHL#8?pn?*R|H8}{Ny4c1FQGGK)X?0}5jV00rbg)nRMb&-q ziQ&}&iyCotGj@-on~C&W@2B5-WHc2lR3=v>+FrIsP@kxfy$|2!K7Ki-570t?w#b1e zkqx{Uy$`eP?zLbmN`8({1RW2qAMjxgE$#X*UVKVH!PNGg6g9>ln?0nRD zs-!c&a6&xjl)Bgc_0^H&MrCF#8*(|&`aJ0QGuzwq82%2j=725qsH;8C_t*BdNba7a z!v*=R=lU!=^=9u3_y9x%aNv&*u-tv0rA8Y*+>&)!o9EbBiyNi2a{|R*H+mfR@~8wK z9%-@95F4e%f)3SYC+JN3wa&2wlBf@Uj|Q{Z zXL3I68km7k?WZbJj&1~plv~#q%MIJM9#tWF9`wO=i_^qE#0`3XDKP$V0`h0f@E@Ik z{FRsZcN36qhx-2$5O6it!NaC+%s@&Ez^0D0d{oGJHc+gmO_hvg(?%KCWA)}5Tv^_s z*BOIaAE4A$u+{-Th-ofP_#u~mL6fPdJftG|Xtp`5G_gCiN;8IPDcWWK*r$`;H=)$r ztM&XJUhXGCF@itYG(wvEMM|1r?+4BY5E&CnZJIZ zN?4MeQo(^;{?yj1pj<<{U}K|}Rz zOxJ7su`?-7=*rDa!&P+pVDFn@zaEX}C7x}D$b7sj9}dwEyHJ1w1_L?oPud^wT3l4*40F5QcP88J9Q;2j^s&{uI|6VZAEq$fnX&zzGU-IE2c!}`B`eGCR;lLf;@-ho z?iH-Z`<=!L<6*CD$@hh`n*%#@6*W(zpecQat_ey?-hfIQ)0%Zu-(gGua}c>3k?f?@ zo$fw88bMXIFvJE0hL$40lJ9)R^YpM8Np|O09lA)h1-$NaTLW%`b;&U3Cc6Q(7Y`7i)|$$NTo)ADga_ z31O5hgE|~Ehk(>~4KC*b_Ah=6(3LDjcrG;19HjYDq-;>&aPdtd5?qv*iX7lrFzz9O zgh0e@K>X;CD?Cs{=lKue~^*eqFn7=!dWQ8j+Hs;TK6G^8>N z=$Ghv0-V9our&s6#^MdC!%@1wtYfi=K9@@=rW<4`a?&V=lyEg7kA%Z9a9P0E7-Q80 zY%|p?b^<+CrcCMOvTc58FcK>kaR`wM2DdTTMX^Kz2!54DI*dfh2XM%u+~s$qk9pu*6+r=|ye_ksCPvtq1)<)7XG@(NwF4Jb09eOBLaBf! zw2rU=!?lBB5)ICv1_%#%u|y|kF)~VvGVY+DgOzk8P&H*C#C#$Sr5iFLpr9%>mhvhr z#>qyTGC3{}mT;ySBp^drf{oxoaWS4lL7AO7mH?Gw@zcy08CSEWOC++y7s7h%ISX15 zEg7|FbB-y+TM}t`k$?#CVPLo1f{6#bEErYG$HEW+jT~8U6%|&3Ka_B)FhDyA=>z&z zwJP8hjDwyZqIB%X)iO2&Weh}^vDX7GtOH{xI0)?`YySTiAPL9*<2zF2q{Yv^iYShNFsvbQdBKsDsZ7dzJn5;;OX>0 zptyzOik!b80{8_!inA}MYk%3|=A!=R!Q2!fX4ByfWq2?rCM&a_x)sA{B`BFlyX zGCYWWWR^*?DBwuEDCO8mm}#y6ST)u|=A{n2ZL16kZXaZ`H^Ah-An>vhC*c55x6q%3 zVhJ=Jm`bt{2nl)|h?TVkacN%~%!)%Q+^A0r$kiQcew0QFBFlgZmP9XtbpbjVBh&gT z=1dxw1;VVb4J&sWm}aaD;hh$}8CbzH zFliFyU?Fw#6b}yqDdnZ81qOH~Xc1;XD+uX;G&3=g!C*j8xqt+y#uqF>4TW4`Q^1KD zijMZ>GioC(1VpLg(`H~tWMijYA$B^d$k?2TXssMI7i2)oUm&N#p#oS2OD6;c7#2bg zh@-d~X*#uV6 zf%&M+gy*4ge92EvY6FxSzCt7?FlCvFYbD9kG3qf=SP*>KA7!i>} zui%Cx7)%+KPyjHJFxP3>}c|JHoq~nqZy&aVl#F%-v zipq+a6YN@u4FVMB7QJ{hH75ltyiSii8z;lbASlD5Cy7mHJcW;=!m3g< zv6w>HnTZ<2;jo!FAQ_Gd1hcYg<*Zp>j@N`HG^Zq&%Okm}9%r>_G=MJ@gaL|9G+2s6 z)jO#)tN22d55N=F`{Rtgwyv{I)M8-j2o+J$3N93gCoR7?QbTQ&vJA_C&# zWl9!DO;@A%WeU}e&a%lBnh>KlDPieS7GVTxfmVrxSCgk-oHBtkIQ8g|PM(hg zJAH#tVnBM#)Ig9}09;=(woVF|TN!k>-H(^Ki|isuQ{;OVK zu0{YURRV7&O(Dt6fN?Js(MfDju@EFGNWCbfIh3^~P=NO*KmoG9mE<@@D$)DpDzBWS zr|FbZK-g{IP%#vA6oA*epdOY+?<}bS8gAHSmon%MAq~Sp8iLXY0uMA?p%{)p5o2Nj zStuKkb*J@P(2}U?PS_uvAlC9Z6*vs8~r4aMzPYodJX> z#=tgI3<0aENKv1O0wJ22QnFQVw3pBx9V?unfeQH)2?HBL^%6lQ1KGHFByWk&@;uT17kyO<^s5Y7Xkqv1(-j;k**gDwq{8~_B` zxd6$dgBwX=K+dAT5!vXlQb>x>5|W_B<)9{2COa%4!(sA8x2LSkm$7CgChP*mH6Sj$ ztTHh{@U)r(NBiYvya1X2K#ck-*{8rWuxUlXE_y3WD?32TXPJt!APTtep?Vm@S@=(-nZJR4{$pw8ulmRTo~0T3 z-_$k#H%l|j|4Rl0hX|NE;I@(mrq+WiK&DTD6=#*%eyP(Bs+kEUFB6+UF`Q|vP0AO; zlXAE%sty*?K9rMglUE%OQ%dhFion3GR+*C!{T6mYTFitr>Od(-7V$y=d!_8sXK7-S zmR>@pghsW^7nBN^c2l8L#`_p#O~%T{2H_=cIsx!l5=4y@XlDak6Lnk~mO_G5N|mL< zLci?vh-T@-w+82Ei>Or-6NE zhG_Nxv!0_OqiW3k!3`RTrN(AJ3?-hNU#4Z`K_G<7T)=3ux&k)M_^OTalF?$eGMHL7gMcK+c@Y^DYbmk33W_SCDO3Fhz6eRN6~4$7bwg&GISt!0Y{abUqfnE^IB1rlxKny`If|yPKBxerFSF@YtA~-Um1DMW?DA%fzn8O9V8(S?98HzY0%u2j3UvOKv87dF%}St5Rfxt> zz%yuQQ#6@N+Sul@$`a8S-3mlZk;FjA*-#~>l*(~F5tz#)#iVwP*(pZ2O<5931x_)Q zK2}7?i@|9M05)y6qcZGtGG%h6lm@LV1qs8UfNeTYCdzPC0s=0>*sOq{G67^(sc2Rx znOp#NWHuXEE=rIy&;%#&7st{T^rSS^ydnnJqCggvhUtXY;4xQR&mno@L1Z@jl6bl}s06agMwLjjq9B&byhg^9?km&&SyG7u(e1QyMVP|#@LstCBSUIQbY4*BP)3k&MNI6@sbPL>ksoA; zurVhp!eMGkFttRis`$f5iU+|)i_uY@*$FgiNbnF;Xb%(VDP~FURGOG6Zwg`NU?3qR z(2t0Ncs8Q}p!Q@aAsCtp@N=E$YKom;ctj;WHsmA_XkHo%5l8>Eoi)*+WT+P@K&t_q z2@AlB%8jWYQzWIcMDz*`xKW`Y1tC>jAJkEcTrww3_hBelfuUGasbF#jU1(Bjq@b+Y z5dd+bFn7SQtAIuA-C|N)+8;npY0jBP7&{(*?*YX?7M_Lv|`Fd~>7_@Z^Qi zP}FH)R@p9Z78y|b{T{B69w|h~1}Q#KGeN0rGccHv5G0$C0=e}llmd{3l1e$L1`u{D zaB7%GuOk*ca1{ibMcI@nBnVmrD_uMnh@%OyDiSflC9|PKS)p1X$rJfH3nb4FKz-I| zC2iwi?L-MvM$~ByP9vX%<-?F1HlyMaNCjvm%OT2eq703J;?RVJX+AkBtO#wII2P<= zs|68)$cu9Yy%D<#O^3rR6o?@kBo@&Lu2C0^vINMoC5<$|r8xnJhv4A?DMhXT5_3yv zHeCtSNGL^(l4}vU#7Pn*!w$#NI-5LIp#zyiXsQwlB}o|^z0g_XMZ-d7h>EZ%0FHAA zKyJhI@Q{rV0$X8h5CZH8DdA+kT+1K?3$~O&SH<~3u@XKi6vGv1ebdeVl14;n@flzhGy?|eQpNEe91$+5nw$)5 zR8qv5V033p6D_3d0GD1$%bQCuzT1npCIHu>maC@8kzfZ^AM+LDX&lCZtyt9(SE+=R zg4_}qIjD0JYk>QnB0>twCSj(SMZ>rZIxQiTYH}hsz&wv)Aa0Xc1~bMI7Ow)&Gn5cX zX)2jQsI3-Z+NLj7idn4+Dv>aRVVc>iQK~_N5T%r+F~t%oIqes^SQ!eA&M{>&D2!9XKm`R`2Ex6oK_yd4 z0vMhs77IfLS}AEd*+bK#TuKI69xHns7NpyQ)BC^)O`aXd(!nklz2XHjA}E1SCPedV z8JeOKBBg{Pwo=L}2}wgNw+*QzGf*|O&nETIgerkklEkG1Y$=v2V1p$_8vzzi0<;*P zMuXs+U}Co^E)@#xx?CX`FI56&4;NC!hiO_FCs!7DMKK;q;m1`q1(?HwSK*WaJkC@g zBm1Nrx(V+liH(**gi2=07(g4I>rT@FI-Fk*lIm?{q1FEbjq6#-b0jn*`6qcnWEGU{sf+o>$ZOQD{(HL-w+m?3PL&;=5 zA2C>&zG9S#)zcl&ARR`Fhp;jd4NeTo^BSNE4Tb^`Co2L#y&{2h5Iof&;HjWkKw3ss ztApXJi38Y>dA?+sB0zc46`2jtOxoja4GU)S`qU6ymMs^Q{o1lJ1%i-Z2C$LGAqa9J z0u|2JsuiY4sQed11cRMIaMT^ctFT|5}pDUP;3cJ22esebP2=BJ55C;-OVcsg20U` zU=<~4t@4aS#t?|Zax&9UQU%3k0j-p((!+{^L73BPOfn+Phch_BHUbHW;d;tM92=Qp zS=2!wKT{PYcnwAF#vVPbF zC>mtK1L09_1i|5_^EoI$bgng9pxkg;$-?mHP*$oW#kdeICWWWM)Yw+J9Ka0`u?mUa zprj@7aW9*jXCs+;gItP}$u;yqFp-n_&>>sSmQWOZ43{$&3#a0KSqkI{GXdK_B2-bR zStz!!f=%Yg`8h!-A9m4sptfeFy=*%_70Mu<|B0T@85Q!#6 z$Utf|7K)4@yK!c74iiEQRFBFqmUYD zax>0AR#L3tiY8%no8={8n&3pq+<78Q5lx#ZJoe{-Sj-*;rV%swms=M3-NLhsz<{xSEn+K-mxgQO!0a2eENK#^!*h@LC8biUAsS!^|RD%{U5da{aX6V#`B3qPG zp=bc%%FGL@%;_Y^Xe|2~e2O|O0Ab-}aw)0t8H9O`BtVxjFtB7f7t#tLdQ%?cmlDyU zD!B-i`{A;HfGQN=#a7@XiDb_1BU?#QQ%oz>WRw7RyDD>F0Y#7lAm&6|_`D|wmR8~n zFFQ{Mv4|!$Q)^bKF;H+Y!!3%Xe4I|gfYPw0QXwzGrQ8f0O|M1*x0gbVB7*_d4Dhsx zN5&v%Fx-Et?EH-?`=2U1|0tjQZ(7;;n`-F4Dmw&uHdKvCW068M)|8-)<$=u9?xcT3 zJN24{xmmwny+`%>HI3z?m1;Q_%60$iVIiFE-jqcDe{NqPln<+1neXLV${JANjHG35n04#gNTCw5^I65biK-yR;u}Fzq0_fTeESg z6(y^ctS&IhMs?+)NhHn12{VB=h?NC)%bGGfhK^+7mbe26#U-=xLR^sJp~^OmT$h&y zZ73?*=E)MJVKqY(f@3rpZWYFmu~cPTA*%*O3S^g;rWZ%3`J`PGb}ETtlq(kra&4Jf z2pl66{53N&O~a?q5EGu6SF`aPL9xJ-!Epk+TB{P!?Mae7g32418YqPu1=7Z?03BG6 z@CJh_D+8>@z@-`uUYUZ>3}!>sq%4urLOZZ5IVgAwy;_o@D57l1#m_r+TA&2urDGHz zaM|aHM;XO{0B@zG;t2>>m&66c$pA^q*I|??moV%`s1cM(I;*2aEn*&pV9pkUs0tLH z5jYf(Xof&W%K4UNP^LCuR^WJh+59FB89+26J!+wLY<)uhbYwv1s-n! zM0r6-Ok4J$Bq_2xq{3IwKsFIB8>m4k9X4 z5*p>IsuoL8l=W0iiEOYqkz%6RLUKxq6j&?l+ip_K&|i? zaeN$a2K4EGtr(k$u;CRp*l*RMmL7nXKAR;W+_PmR*%(BULOF5tOa+F%d@@O(!D@c{Ik)E-I;HF2kbG@RUNlSehX# zp==Z`5!8d|SuV;Z!({;c5njSah+{Y*gKHJ)!cbh8NXBY%ew;swLO{cwvL%!=Ght?M zn3{Ld32|6jN8+RHSW$$e)L4iVDw~P+@pBYt4IcGzVQi?96OxqB1R*1YN!zI@ol_qc z*!_Ga)1Ay`m@F?!P)P72BB)9n7NdpElrM|qrVv2*nw%i9^E7f349KJ=RXyprR*K9T zDLze>WtX9Wy>zi4(n-Y{eO0dnI|1B`j1M5S(TWh;>&8}4B!yBNLK&k~46jI{vxIqV z*aBd8FwQL0Zp%f`Fq}~>!&!l3L^7Y5PZ3!JML11^;1MM&j~w<#P~w!1sAiEIvTR7r zw=%@w0Hy@N@^E=*2I)fp+#O$%8)pFt#9=O5mDiHIIk^#m3l}vZhF=^&2BN^8g$`#! zutkX8fnwKC_E^YU5c@z>vE2{`GWxArnjR!cIhDNs6j4q8cchJfy9QAH)o0pkmZkAc z^i8ytXeHJYH=aIg*}QHOQuD4(T=~VJwuc(l>&|ZS&JvgWDqfVRdT-XHWHia_Eui*SY5B z=jTqY|8m#M7IQ#%zHZQBXP{Y^6SZwG!H-HNbgtL-7S2ychngHoq2{b^Hg#{)O`o1w z^(Fh7`OvP|sfNq0mN(U3G4z*JpVf&Oujrru-n|j;)aU(AjqADk6Z#(b`DTvY^_q#h z4iA3b=4u+bhemAXx#m9q*~L(!2Sb0q+ULo&&)zhCFr-t6@nG=wRW0*FW?uX1e9Mh{ zKH1c~#h!=7M*Z468oKprep4gyO&xod*PGz+!k{OUm1?L zy7mdQUkiTA#5L5LE^q4hYc-(VoZ(l#PF!{MYB6WTl@Wy9pCc*4)Enf9UCoU>MjQPY zquhs_mY*yWT>jYo@^j+lJ1=_``aT_y-`ls|lJAbMYgd`xdByGR?|R(o{gC#GwR={% z4Swvi{_orMp4o_dwb8p_hSB}XPsiMD7i>PP_b>7bwm&YflvrPPpV;V&?OR)|{^N`9 zAtR4LkG#PidD&s|t!bZZd4g|Rs|$Ji9<2*){-Yn;(|JW%{nO&kUQUS;z($`C=AO8< zv_l$eNiMMzE1Wq~enBjp6&|=_p#E)cUZDSPH%@srG5S2ic4-3BHa4}cTwOBc(17hf zd^2u0_sx&j2l-C4+V|V|2DfK*Z`|*Z`O7gq=F10ket3s?;TYnSUOz9_@5_hRp0?)) zz80igKz_r26_wq)J$f_sFz4h!=c!&%r}V^^k5>*U`0AC84|nFu#kF1SVEvajv5yb5 zThmssZ*|AKzI*c8bo|dE&Ar=q?)GagZocctJj-XquN?--OmLw5d7s^VPe1>5-o{Rf zman__S#P;}xU1~(OV$hL$$35Bp~J75_FIzrE!_U)g_A>C|N7|+?cgyhzFZCc;pJ`0 zf~Id~>}??FZJzM3#r9gAtT=UbWAh--m^qSf9*K{2UbcH=SN+@1jtnPG9VmR<eAofgPfg{GzkI8IC&!H^em3Ew1-Gkpas20d9kxMj8qu2TBiSRH4^YcH&K`Q+ zRr28#>`l{tUHpDxwwFM*dCXU3%DhF*o2x#bhMLn-3!ZzSeTOC-XkXgzjD}NJseULZ z@xz2$>e0C^O~*RE74MzY^OtWkhP~bPE_>pB-jC$jaOJ!W4@Gp?z44UV8(H|X-!#6> zpY8KP&28k!r*~Mdc!Q_JPZ56{^(V2T`uiVmw7qBy=c~;JFWtRo_`#okua|Tlnemyk z1?2aY@xF$j{AI&q3+602wp8}}-dZ;9~h1nCbOJB`Z zUO)F;E5g%1`?!SlGczHrPBy%i7Rr{vxpH-lQU&-lfGkD$RtX#WY>|V1|%3Pna9-^_@DvkgoR_>);-JNMeQ_CB(Y$)i6VY=fS5^H+jtbocqkztDG6 z4LaTXYHQNemV5K!-$O9OH>*}{hf==Q%k7`fI=5!__!mc85wW0Us9rnH zV>;9gyV{^dg>hxn^zq%4qiSO(Eww@->9Ng+jzzuUE^d;)y!bp^8tQFx z@Oe0U;l}(W8Ryz>uO7%BveAX}k)6P|CT{EU#YXGO2j{MbI|rQGbH}#s-w|!|13&&# zcX^L}O~#AjyH770XID?#b?LeAr`7!%(r=}^5=z6rEp7QM{jFQJ)^#N6*{xd3R*n5; z^NgS8tB&L>KYd2rtiJb6!g#pL{ZhW`rDCTU6Jxz~H^swyA3PxL_1p8S0B zPt9zzy6qnE#}{|I%L6+0iBNeFul8`%k7B~^ZX1TS{Uy*G`RD#shgOXbPJc}QR6A-> za{7qHUuXu;(3!;!(!3daa8g1C#G;Ywr`@pO=A1tBX4NSDXUjh}+C|ddZT7!a5 z*?hS>pjsA<>kVz6__-aiL6>iL-C#_zaD*)e{W0^0IjdWr-nuM*;QcT515a*LlH{kq zQaG1--P_i0k33u)&24(PUHag|+4=@|*HK?mJBBChd!3s8^=D^^KeW9*w1!%AW@TIv zG&I?B+^s~1<_=B`pQocwHSAd3WBb=nJgZjs8(T5Gp4Q^w>h-J+vztHo=}2&O*R5g` zZO-7+4}`1zLq9BowkCRSAx_Ny9?;kP*b2j1_VB0ge^j`#Yk#24#@so(y45v5dCizE zZ9o+ab@{+~hy|0|ih|>&r>XW^BX6vQc}^Ud)TZB*U)%jGL=9=X+P(QxSI6d4PR-x9 zE!x*-2QPn?T}B(f9QPV8H9u?|k1pJgKd$@o=k{I3UoXJCFOS%Qw;n?~)}=vPZx@Pn zCs&Yvbv}JHd_8)`e0j55+Y%k^?_@KZpBJ7}54tgZ!9Meui(UFG>vnZd@8NZt868G6 zZ%&*=ac{io9JTnWD>slvjO~)Wz}}nn!}cxrH;u1d??}RTI(qAR<9Or`g0#BuH(cXc zyV`;09SXf&{o}_W`xsj}jnlJCUtRd}PS)IWx!~*D?{CK%*WWL`wd(xa@7xQ*{26Tr z?;rI2i>||$mKQB=wm6Om|ID{HNAUD@T7UnO!#dYc8^3Jc?APz6E1rYu!5W6=B)@$o zT|5vp@4D>SsKvX~{3XWQ_wm@B8Jvb2he_H|e?St>Thy@ce_qmc%1#D@{v^ofkFF=RSP@Yv-2R zZ_*k(zGMBSkwp4yn`QLHpvimgZ$6;@WSwaye$yhyB8B9|Iv;)#T6yFB&qJoKoqbIW z1RG4NUz)1tH{rmKjhowaJVQKe1>re=zvZxhcm2C#kFOtH#NB_C-=tcBU%U6==-HTK zKZ5(6d(o`rsnfDIKZS1|ZrbO}o?*y+N9y3;w=;ik+wo}Cipi%B3hO<)c70^_&~5vk z*s6})^Nkx6Y2!}S%WPZqSUa`PP_WEoC7BMPk?fe2><6 z%q$}94q`Sz%u+cH{cx;G+%xQgm5TZ5r1o%S>DU?PPz`r9j6N5B`E_V2E+P7Pz=-vi zdSLeED|KJ^Rn`OBW}Ljmz>T}~rs-D~Ur8CjW@*=|I>mHYVq3<}l_78SBXkA7eRX52 zevfiM58{bMpER3?{qB3rLL?fT`2LSILvY~S$|0Vyx2LG(o!_%YB}QjIa*UUc{*?RV zxPx$n(gpmPYb_Ybz5i(le$qGd^Yc#^Ts!k&&~fmY9e1&^qqLi}5tMR6y5x+f|LQ08 zzwuPo@u%1Ir>qR%uU>fN2=Dy0o#&~#{-vWUMs;4-Tl>k*6U`e=xYNGvDAw(ZXGg+P zcJ}Cbp~TW@?OnYe%$(z@yCupV{{C`m{1DbEb|F0U&6#Fp^bUZ2)N$b))}Ctj3mq3m zUaf9#>SNlzeczk*r=2qvO+B}ta({Y1N_Wmu_(zQE#`gp{aK%@?$scXTuRtI@f|%e(xZ zIsu(D=ugn9mBQ&!NddHEghkmQ`+nlG+`h!egQbOQ+oQFj56rqF7TQSTzL~%7ANGv5 zfYUzHrT5~l$-0S=xy5OXVosLS-~KiDx6^l(ciTmm51qBbbz}bSm9*Wo+c$>J_v=sY zX#D!#xL#YnV_mFU_x-3v-*!3p=Wk?Z!whNMy}j+VbB1hnL~|YMhK0k3Z3``i=?jle zzh@o5RHwdfIBMikCCnk+!@1420{o|v=*n<_{KYBdmw?2!yVTKM~vUW_P z1`*@;oet<5k}a$+pTF@>?{)MPUdEkMcW}cu?OIV@afv&#uefws~w-z9Djt$ zx0{Xo=HT!)PZyJ~?CydiI_H0W_}p_)pC@x4W$VWFNAAQ9s1k?&yh-Yv)_wH;rL@ov zFn40NLv4KU0n?vOH$QLd?3Zo$T)1<-sOMMyWuBw6I~{5K%M#Z>)>-s@|GGbZZtrSq zyEm-y#wou_5-*jORzB&8evSzru#7%m%vjWX%7VrRzIeLj`QQ_+$k!haU90{$>H?X6 zjATAP@Tln?u)B`uYUar=JImsZsx!#T~A33)SDwW zhPN*ywAUYeXzr)V^iJr89+o{997nEs$NQjdL|Y+ce>3{p#0EqAyN_f|>pT-@t%E=& zEx+(*!@b9I^l{G?N1N#CZfzUYtfvawb@AroowLHJe(D49^&tH#)m_{>%qN?bXAU`_ znV+|DgF~*(>^lle>OE?VuH~-z?c?O3%HMxI)WbGvLW63*zMGx?*3aJ1Xs&JZ$Fyp? zavIC-7=@penBVl%_Z*St{DMO}*I>f2$`pZzvgAH({U^Rw$P34;8?dt{?2{ji&t2N( z9^T*X=9bAf)+{_Rsd9VGq_NvqoTSZM_0>V{k)mOe?djzFPw*{QgY7Cf2esv0#;AQw zl9#{zW@zv2g$H{_onHje6VFWkcH9}n!%NR*~`*gn>=PqOe?NXfE?s_l|w+HOS zx0db1Uz_+~FMI1h5-rPlOAX4FH;xH~T8;1MZyO8m4mLXl`v#frx;=6K#`lNVxt4F2 zdT$SWs{b-J>h+{q^B*o;wz=o70gUDH;<}q#>!xqNuE-zmI(a%_%z(cBd%q2S@mukA z^LoD1*$szCV@KE63&Zt)JE6Efq2n& z+hi-;oJ>n)DS{BzUq@~8ZnTQvpxdc~?46K<$mUq6hK z{`gIwk_bIIFYVT67~%WTAkUB8HMHpyA5?zMQtvd`-0f1QyVDNgcG;@wt0zrZ@?`&(W`v1Ma%b9ry`zW1e>{}MN4)b}&g->p z&$C`n8_arj_kLH7`q?LgEw@MiFfR4*(nw4P^~6zcsNf055N|)*yXjP(HTQPcTZS{A z#ro~}av^=$!SbKl^It#g@n-R)UY#}uADG!-Cuyhq%X=DUw?krq*LGrrwi(S#NT6T# z9$%0WI)8uszW0cA)P>D!;LT=->1!LlPyV?1nr>5%>t9Uhc9b=5$m3ON>yz2sR&(6_ z6uVx@7?WT2pBb*b6JNHDeD-X0@?do63-+t24;Mu1Hr!&oKQK#e>wsY{F{_zF?@8K? zBbKIIUVVe#137$+=Eqhk%Bt?8HV^M_l244!tqyzJ`krN8ZH*<}qMDh%kasWxix~t3$(Y^ z+&4eo4R2SU_th_;wzIwdqq4BK6G9o9lJhbXqp`+b_EF>Lq_~jJo;_d7QHSZA9kTFc9k8eWX8S=ou>(gVp;#BWh@V&K}%QsMRuWq`Va`&lMOi64#UH!7lQC&zs7*-Z}-^N)M{xbwBib#&in}d*GxzJ?uMK!Z z?brOnmmiw$Xek)9bJ)hK2cL|4()vxiH;!H{KQ#F8`G6)LN1wUMTt2t)k)bFl~l|8TnUhL`CbKM4a3z_B1rhDEVV)bbIfbU;>ZGit0`nvyAZ0ysQ50|ak8}GCC z!!#VgLgtDm=ze8FuO z{q?}`M#0eo_*$4~BF{dU32qudV*Izh(DZ`|h3^{jha|82K>+@pgk!Ee5%-oUvh zwfKE9w^kz2bvFoQkN{K6jfljj;jE%O~H%-wBxAR-cgO&MO@7i~5jRUV^9=AL)cKS(C zG%)3{eYt4LhKVbF>bK;`k=JL{7k@nb{P%UOkIbN<=Jm$39T>bKsXaqQ&h!=B>Rdgy zWa^RumtVDec(TVVfA#tG9s56SzWH)Af9H!6qZ#<$ov%(jJ7?$iINbkU7mQ=Yd)b|t z(*{tU-;A}aUfOhjjqS1j!-2Me&E?NN&e`_td(6jp?cn{bj)9ezukAb6zWZ%PrtU%D z`K}pwY=UH;Gg7yt3gBgU31ukF2i_Bqn` z*FWaJ9w%=8fnx=Wg!}cP{cCzu2<9Q{TrAcxV3zKfdyMz^RSf3YshPcZ_&9=W*Zd zj~@=W8@RG_j@uzAP;Nc>1%Rk}JbsGdASB>sJ?U?EZFK z?){?!120q$FYZ6{M7B@cj{~;c8%Qr)-uCcENrPpLKJ>YIeDK`ndx9sgj@`{^WLVp9 zK!?C*_14`#`my^_~qM$(;FHb^{u@!Z1knMcOSNSP!gQFm|MktIp}h}5#i;? z%Z~mJ_OH;no-OIJkw1Wj6RTHkWx;!vBD^Zwiz`Qyb;jb3gYF=6KAanDY7 zDrVZ8#Dg%;uG+bY`XAMsMvT2Y#?gK+1zsB1L~!Nnm5}z=jz8`6_AGP5)u(@IBXiZg z5R`uF_PwSKdD#5w9|O3LiH~MVKa=Mk?(h2eV4)zY+wiTR+n}uv1{eajJ{^$xrtkKK zjx9q*Jp49z6n6RY?uj#jo}T0pV`NX-D0BO(lyTSZj5=>KJn3+7v*N|}$fjDC4bO;k zXkYi`4#3I!tR1mZ|9W+&lZ&@@+P||jwcEqKLp_4A2_?Yl?WyY`pz#J&vj;poGhZ{R z57&EEUYOYJ!u?C6S~hy-V(s0}^OxScH{tl@-4iCYzPw|?z0;PN+bBs%4 z1D&R~fAVTvH@t2RvUlH>j|L`>F3w%P+@R;_4I=_95}$T2_jK{%?V~14KeKLQBpbi| zX2b5?3nw8OEnYmXh5nGk(5x$uPa@JQ+3W1b*Pc!%72?bH9e*%=#;m73x^b)>yL6e$ zz5j5)&EmZ`%{Gkc*|#0$U@IJaQ>OgB@tkHqs9|6ItZLKgH+RP_f>Dp9bjghzGHI(F=MsO8Pi{k<)#IcJa0=(I@P0r%W+=Hs{4&F{N)*lzyx-?tP02B?+B zDv?;e+8swC)0z?_p`tRDN+he@nGE1tOEs3W14TB1v~=I4YVl#dZIp*i*+Z6{_zK6 z%ctVN&vdb9s+Ma?P*p?OR78|dWMkclO$nlZUguxe#pnMo=?vrFTdn?WH| zS+%;|c{HQVh^IUQ>8Rbei}h-CVo~E!pRSm^Keudg|9bdlD07D|K%=+yfBSx1{`((g z;CJ;dzF)QA>9M(U&Ye8_wC?!8?Q?n(Zv4dQyyVYXKhDlT&&casKc1fQJU{TaOZ>q4 zomXNHcp$namnhLAI~ixc;NkqQU^|9 zrS7*&y#+gb8@4{(GTVRf*S+D@54sKyu{tgJb0>f8p&8E~uKJ_W_s`B-HwmV`rmsJ} zq6d3v>)F3dZ&5oX^WFV%MRnz)dm`Q`%*$^ESOsSc_Yr-5@}KSWa`=Y@AIgPESDws# zKm5u~#(VhAYmB$ecOEXh(GA#Jc-Cpae{*Qsm8V3x%d69v}{&k*lbABGAJ&wYY;+xovhh#h!f?yZw=*1qpB zaH`=kM?8X3luo*AaPiYv9d|FP;@Hw13O^uJ1p;a>s9P zeD(1xW9Rz*zdQQu{0Z{$8{UJNS1!32IOkFqeaewpgUoJlWQ=hrpJNBX74xRc=#&HP@#uLtbn;qS*Y<>Ov%K>XP zZXMMlSh03n^7N192XFNYeRXo@CwKQLco4p3eGr<{pSBmuwo|Df(IfZ}?- z{lNes_~5~12*D+|Ltr4dTW|^P?ht~_W!K8rF4M-2dpM6U7VFnoj~@s4)%8cXfwS3 zWcS~f*`j)+pJXfZ=*e11Gpov4IWm`gWWEzJPm;2EYZ)Ffai3EC7M@`9`gAcF z?ahDt5M&;)?VB<-LWJqBvgCHUO+1z~zM|)XJPWN$qF83-wW95E(g|^#z0>L7LZcIYr;BS z;#~#m6@lvlx{sH%%mC*~%>qy-cCe%?0xy*}KnEne05%JU!SLmMooLYfCd7*ipcMoP z-ktU$4Fvsh9UKvY7FFu?0J|?zNH1z4BK#e-pC!L7vBILJFFZ*v;>&m)ZpG&J%c>DF zWDqi9NTfi8E<*t=dylyt{QwsRj5>Zh%5%BYx5BQO{S1%d&2uc?3Lf{bA z!a_SgBtU(@vWexcr%;yQE;X&!2|R61|4MrX$#40qNk;X2Xjt>*U!=QIfM*Xds1s-x z{V$I1pjBeNYK3*6wEGreXcTBB1oUN!arI2F=~|RikJkjRt^0XAL5D*8|3`!ZUte!; zo%aWM`NU@Gu3!xa$Q#x*3hP zw><7YYgXsOf7Wcne^lRpU2kxqja*K~8LgoBQ~3YOg!w}>&)S>t9R{8Gs6Q!?QtkfJ zj_(A-??h?;^M)EL5abX>_ODas5HQYi8;ky*_WU#tj3b0~;p2au{^=7KxS>-2lq4hv zfbEZn`kyx_h+B|7M=6^hyyCn21rKO~gaGYS;1BLwS89;*J!Ln6xl-cc$-Ardf9QR#mCeMlMF z`tf21lKywRoPQ9gpw&moOATzbjG}c6yThWUx^drn>}YhOJrFkuZje7G1t>ooMV1F9 z5rkw81Itxy$R4ugw)4gdGkvNtw!YCgydCQ%3HA61A`Xs->uBXxN1nGhdXgdz;Ti4K zW*09_pr=#!@)Xtp`9g7&6AoSpwS%ocC|8=Ogv8v}nWBczar3F<(ff_QjmdW3eElXE zxbPk@b!a+`&oiAWf|H)si7g&{r1=58kzrb$ziZo!ElLZhj$-+7yc`tlJ}oUwkO}c>+G{ zlj!}1Nq$T7wl13H{=o(l`~&1}NYP)+qF+#~l3UUJCw=YE#dT9ZQ~yFWkuLp}cN}K$ zl9Sv$a@h8lIbGzoIl2oL5 z6bcgPc75SeDzFs$r;bnWnn_3!X|kjrc1rMvg$fPC$4I8gZ9L(R56aKibF7Q2oN4kH zeW&K4Ev5NjximySL)t2B6p%$9!AqjqnCpFi05@G8c0o(9=Q?QDs++uPH-=DfjZxXe#Zd7k&wc3^S-tDuL&Wd>1VnD zzk<^KLni-Wt}PF-%f#^CB2P3$zW@UWRcqlhqjW z@Adp#@f8;cj1IMfVtXA2W1;Q`*%ma{7IAmaDhhI8PY;zpwQO^QS-r3P?p?i4AE)c1 z7^z!P>GeXN@;#O!N}FE+uM4w#L7&KK;yQ#M6u&a{x7*NGg}3Whrg=WUZG9a#6JT@v zlIl30l;6pIz1P7SKYb`yE%y_=iDesi3Zc(5(*`WvcsxH>CR;ok6sY+Yv`d%%HcACi z3mLRlD6lpMrs)^)*XrGP#l6?!(;wlu2pLgtYFHr}DY__Cx`;_!P^|o635mp^S=U_z zOjYh4rLpEffTBbDywnbb?MbSvC!t$d1xB`v*Rm?*PPH2&-fLM^M>n}Ca{^j)SQMCv z0b91U*5%{6^~Vau-`2mDa~AU)6oPVjkc~h3N>JNJf?mo`@vp{NG2Oya+sGr_j9@-* zk2oaqeSDlRBK=cAiO=^Q3rcb3y0h07d$ZP`*MZuyAktj>0XvJANir%+W=t*t@uSx! zGN-k4M*WE;v=PbzkOu1sUMvwjfSzF!3)u3>`Jm(RqEy;Js_W>_Y9ByDVZpT^a`_w^ z5ND5S?i%LU(}oLM7vns*u+)dTp6Px6lBIhr3h)$Z0nNLgBnN%9Y}Wpe@V?}+91n(y zRDGqJ3B1so=d2OYB3}={{ljc-Rm~vlFVa0owva!dHFA%}b?~-+el2Q1xpDgzga73I zSL4@cb@wga(7}Iby92=FJUV-xM6_|M`=#=Fv~Og&8-W=cz=jEb7Rj83jcqJu-ebsD z_>YII0?-+f-82tx<2rwu(6`LFXUlkixQ9nxr)*K;GVTA3)G1{Y zI4^$m?a+6>1*`g`&d$qQ1E4Bda2Be42?S^zDDaCnrt!^E{`uC#>S}Lq-%xXZ_KL^2 zyP4&f0?-=Z7BFdP{PB^3H5Z!T7^=%1!VYMn6N5q0Z}ZD+r>Dmc9cL1D)kj{wi@>8p z&6D7nA|EH^3Eh&%e%G9@B(lC%?4fta8h1W?>JNhn4z1~;&egn!htJ?ugQ05n&nPgU z+OnU0qXB~vn$@B281LY4?Zi6Y27QmXE1~Yhqkw*y@v@yZdV9Ateh4)>+%RB|k*z;?l-`&8L zY(>k^`)l=1V2h#L!8t-Nkk+sWq`h}SaMwx^zw!3xC@_+V^CDwbp8e*gj;o+jRn~WK zSdFTZ^IHL7yFIL6Ev=ds)i@oauE1(MC*^&85MRzMI4Kx^tKsq+vr-Hg%4Jx{p zNi{798kb)jtB^YcOI(-Mmj+Es%6x#aE}UWA7yZpI94307pNMjsN(+Syx4K5vDah=S zKMLm1qm;iV{)9r!#Vx&})G_meC9;0WS`NOt-A{uovCgg-v%sFf-gS7;YK8cm4J~IQ z^tU_N#V_W(jKjc0TCs5Aayt0B+QaN#*YTXf%)q3icXIIY!IO9M2VF8Lo!68sZ3H@A zuH21^-760;nr zsK)9XkNf6^7Uc@kr@n<$+$>2jj&4GHk^`hTY)QQxT~#9H>-dWkzv*aoz-=udGV0Pe zNJ%C)Q+{j_V8C#8^qsbvRiGzRvwr2S->;7QJw_;PaS4W!QTdhtR|{B*P_c*W3|T4^ zwbSfJ;$p1o3rM$?LKx^yP7Wbo@6ANj!)@5FM6%F+vixcKx?*|5X zB!b|Z(nIY}f2mBIK=u!d$#7uSKE)OPkRN60Q7+s-;{fL(9sch^c|#8c1WO^_$B#uF zFSCGfVoR$~aim6mW1lqhMPOTPB=t&qFOa4g)XQ-wmlv}7jTg!Uh*K1d1l7U3141u( zp)^?@VIV3@1>zU*qM}(M!N+G|yjv;(GMtUuJhBUpIJOD8y2eIO6th*uvabG1LIo0U ze$EJptj6!6BzPe-H^d34oY|^U+sqYE(a*LDJYczX4~u$#YQcp%GF8O6o(0S@)YnvQt4L#)sN2f zJvRxpgyPu}?Xp-!lWb6~-ts-bH4LA8OxeIZ{Xx4sE9gSIQmDnX%``xyVW7V`j&$_OJ^Rx9{Ab2%L}d>EN7rDeN^K98~|FbM2FGYn_QC!PCK{7}As zEn4c7rtf~8t4?tQQA&1eCnK#+dAXuhS7$ za$R1A{-b1=$@FJoHOpnT0p`KLv7t;~6=O4o1M=#Wp3<6pCx`K>f&&jiau~?%{aa_F zrZ=H)0C1QaKmoMCrOB*H7?iu${i>TL@atBkYIhq(EBPCAz5*hIX~ZImh!cR9H%LPi ztz-x!jn8i=>;(TqJ?wYfmvwAKFJhZ2HQ+T7D@;WNq{KG$2Z9Q}b?|H@Vq)5i>_84W zfl1vUs|hqfF&?>!H+H{|zZSv-WLEG-9Y+%<^;1jGDtBlyu$K;?i-@k#t=M zkdofhG5~aTe&X5Rf;929dy}&B47kUF{?M$nby%U$kZ(aIw7W1FgT)r+NCVE{P#smh z&uCQAuQlE|A(`d}iQn%Y@bfC2Ffs^5jGdoVN$3hrNILq(Vcf2T5 zIZ+LA)CbbLPI<{9QX}b#Yn909&85obyCfc`X1;{>e)9+T>kIWN%I<4L?C%&f%qlkw z5dX%f3B5y|282hvtc^t;+um30KnCL=<60Q;PGJtCyCOQ=4=Rr;RCwXU5a()b*Bx%@7WV#N_YzNV z8K}K<81|6nJBMA~T>22p-y43FD~RYVkng8NLLpHJQZS91f@!DWF@bGl)2oJ5(~$xp z65v>g#dSy^8~|GrOqQEWcm}zlCzJGGdN>Oh{D#sX(hGbT)(G7ndQNl~&_>-6H|Zp*i~ z9>*5MV9*cp!ORaWXX~#rYpXX1SQAYL6g^CT!_FO}<<7yT7p)KESCFmbEF#b>Axn(pZN6oe2To^OKt6^4Dc&fsqS9T>RMq zmTGmzMe_9yHqREe;54wB*3~lfYXw{E;J^+5<-`ZHy80frp-b>R--HJYQXMzAVG5;l z$M+kD&|rgOD|sr`Be%gpWzMMM6tZpRW9Kk~V>Lj^B-Jn1uo{Ll2w2&NEd1Hh+`+`Z z6WHd?F@Au{PyK*3i)J0OhEKYU)&=aU?oAEz5oavyRG_NFSr0f}ci%y{`uzu%fV(ZG ziPbo<%b>i}{4wP7c-j62?l6VG%6&{u7jRj(Bsx;PDxuja%2$?OJdx^;nmX(Ba!K7^ ziToTOY0z)ct)rPg7YmkKmDs6>9!@2$4fp{MFgNFXtO3fLNii5(gm#F1=eAW3p%d$# zdDn{$!E#pR$J|TwM>^v+2M*!VN@~NYLXp&7vGS6G`I!7C5DNtkZrx@hsR61HnsJ1}h>=7h3mq!(?(lKyI$(*y0`BT-N>mj|- zRR-w;O0@f42Ijhdu*7nAJt1?}OlG=jOu6ysxB@g*pnh^9a#;sc-@GGM^GT!}RdH}J z_+p~inqG!mIa3f_HHmQ3*KySI>3`Ks{{zqdhwI*s2#wN@r~h(pkmr9gq4EF1F_*An&p6;a;4XdcM<78)mJvxN(9Y?Y9vN6@IrAnY zqwYW!?Fwi?@vul9o+vdGL$)9d$(Q)vOY4aH_FeuP#E1FZiD$+K#iYcT{I!e?`#(G& zC-cE)zs<`Qm-@d#~;@U7dE1g3vfiIflVS z96EALkA5XSqu*#-aYuqbJEh>4a=UQdsmi@{6y*4UHkw+q$~bE(N;&e|l3t|IK#$&H z1k~OcVOlA*(_qU%MjCzJlW11IU6S^hRUG}(lF&~LvsST}auTB;q0mrFiYTunnY`D{ zgFWB9=6iJQGD_vrn`=^zI92Xi)nab#wzeMS^0nKHQ!@^Wq$O9!UpIC!#bqHG>v_*! z1&0FBW4nq;LeY(!8@wW(5742!psAjD5w9Vuq~3FdTKCD4dLP=F9GB)4#Da0r`nKCm z*wJNywI5T0kks_Sn;WrzU?PTtm)p0dB%<{%!B`Z6K+tJUmfF0W?nw-B7H;V4;gt_} zn!J6=tM3+X^#H+)xI|>?xZl1;0s%NWWA-S+_JzD~^@yvTCd${3Ur3h2nGOv(sOx0~dKqLt4oyePcl8>B$RSNC1oKcWN! zc{sg>Gp7kxDAB>IN{VDdvnKYHZ^COWjAh5#lE=78z;clmgYMQtjDy3` z2=*yVAX1(i_NbfN+lMina+y^^Ax;fcP=#lGYU@+p?}iiu*S>ly4p8Zw6?aL`6w7ml zs;x<@6iF8QLY;T`w>1@Cj*gBn0U@uxhL&=#`gRez(s(t1y!nLTAXoWw@8-!B&!w7_ zPti(;U%@=#sYYVo?g02Q@Dnt(pUyJOfc5Wr{q{zUfOHPWV7RxQ3}&}7Y6XI*Na4b<#@JBrUAhQn z@+eQc`yN9=;x$!cLc;#5O;eV&==i`-5gGKpbxAtinbq|wZOssy7)OY>z<&vw=jXR< zYs0}n$>N|j(Vxlr#BszpZNgTCG2SE0V+|gkOhkQosvkAhS0?RGdcorUb!jh@Ezj(*{Bp1QC&w+N&w$DV_fMog68QEDp-GJA^c>-I4I4gPG{^ zfd=~@S;wN0Ml+FNR4Gud(M4`<Y?R0@l`{c}1X6n5)D0dA?ALk*pj#XC$p2b{t7hxFE zb;j=t&&sH44m#n2)^6t0P-}^3$6C6Xfo6JQ6q~&Fw;yc7RVDpF6MUH_-HWA;U06MgV#@WKccu*efBf zkA5FsgN=O}RyGDP))(b8cNfuuyZ$61vIj~O@KGG-h_9<=0ik-~Z>P6GPuLOI#h27G zV*KeX5y1NnY$l1V6MCP)MYKj$7+RV5gkriN=m6w4F$D}9sci)!Y}d6=fc!YYz*2Kh zkk{d}hNi_}ic@?L50qdjh={NTUW~`Y%4qQN8)1#t?;*&B5lPKEF`nK(s(%=~#omI; zzPF+~wn4@C5&$448XnMi|IYak*V3=NcwNbHS-QDSNczwOB+Wc$+-#4k0yLL_MHnw| zPgKKTDAnGHMVN~O?!*%M^cK7y0Q@A5i5>v-GDJq7LI4?tkrTp$uKp*Mp%q9mAtBDY zdm?r|p$xhAuS#+?m3Cr#!kt(XP_w~1gG#^Gl?}g#1AD*cr+eBgpPIYmz57c4=QPFF z=Z21s2eJyv3wb+Dps@3ZBKBJ_RBnHvcv*J{9W)R3&yzL&rU`7Dg*DFm!l5@68@6?< zsGr`w0Xdna`8{HS=DWDpL|_F*AOKCf7Y71K`?&J6*iERLW3|X9nu35woqZ663!~Gm zRWxjH86p8ld&v8^Ka`9M9`;AC0A52iKpu)_KErr}5PP+R$HLv79AbDFyv##*_=jqX z=GG>PfiMg(!tnGIxt~3CJJI8M`v^oswH`D&q&Mqv$W%rI%?AVl^Mdk$NL_+?sIZ41 zfl}9IzpWV|ODbdB@3cV?f%W{3{BOa!s%oJ1Wkq4{VzNn&7NbG_DjsNd#=iUNFE=%# zK`sfdd}VoJ*v1`-Kp+p^EF^Ds#%%}typ0UKDJL5&NJM=rSklH*Oi5UioejPs8L9=& z=7Dm*k2miSsmp$Qr0&g|jineC+P=u4qXfaa74eGgpr{q@bWs8Y`r}1}+!ioP77EeNb z3gY-h=k1<9lI>ZOYsZ>MC z1HOCSJvZ+D0M>QfD94amDNnVdudWIho_N}(K;JFg`ltOOHK-=mP{>(?b3#cF#DDNS zE%SV-n@~#xgg_ z6p93jE`ljfo90;;%6;tl8;WQ+Jk6;Vir^=4HgRt;lkT-Tb=c?qprIiTA7}H$+L?0? z!ABI_uhgJSw?{`W>4MjIn)L)=hl;zvJqMMl*sm2aVi3*FIp;an#DNWWLok3D0z?{9 z_ySQ;yd>Hg!#eB?R))5zUIQ${xySF{7wz>b3@&yPUgXb|n7s{OX`UeT2V*4&f5f{# zw-HOHNicZ?ew%$%b6`WiuN??dXiL}A-td*s8BPXL6gN0z+B2|U-nQQtzqR>IAQzy@ z;Gu&)<>P!?pRB!BaVV)qB1D~wd&e#=RO+Q_!tVRp6D$1iH|TakQSn+QmSi!ZL|5>h zt@b0huE;=KVoIk{*mKgSPNy>Qo2lOQcM(muARf>iU)K0*4h62F=-F2Y#Wx|g-A3Z;v-~;uG(BwAsL7F}=_}I92R5?ta6y5y5B%tTK_#vRyNq+lfq1+`s~Zy5L3*m{DXZ71K` zNz(V8T+mgS*n_J=ylU{WRtQjA<~rs^%^N-z><~%l~-KHMokds#FE_Dq2=L9vQ7UC zy(3MA$nrB^oRkrIIOCXGX~*Nbf21J*@;ov_ivzotxxF9rMW&#KK3$ zK=3ATiQe`3(DNdq*7+e9?o`Thq`m3GIHX|wM_++eEsvnbWbr&n^m+rS_TNW(TxK)x zVLtY>7{#9>A`0VnXl#MvBGf!oGquc*H~#si{{EE)E5$I)W1OIUZ?XIGzM}IPu(Lhk zJU~I8p-WAE-hOB8b`w{$`SYPj3r}R~32=5S0aSp{rH;;Kq|-ac_&H-(5*95S89cS@ zrh2&f#Bbl-WszF*YgonGfZj)CWu#|hZOHBGMqfr=&UiYi=Ijg|Z;Rz!Za?fEv{rbI z)!zHFj8F8ZJEvJo**#qu2*2EYJJgLAij45H(mT9b(w&>(+ez3le|?H-`~9g8nsP9J zMSIztNyhr~waY%w=sRpcf{jPnNZ>cH0Sh)>ea1wGgN;^` zsuVOBo^L>(!4LY|ed9f>p0aP>$}B@bFNONq*|YHzEup~AIX|8}x5x7;z5bzbc}i{{ z23*&t8?F@7*c+`KK9@I$fBuQS5{_iq+XJLPiIBdgykA^G0AlOkFh$*1 zqFaRG*|Bm4XPxbuPR0y!pf(W@cTaG~8HVLCj?t!gI%Gg_jsK*ii;?IV@u$@F90nl< zM89w?rNfUX|4^{d7r-?ZNlfpSQL!0Z<`@dW5~#rd2Pa*y2QT6h;@|*pdQFghzxR;d zd}V6)P0`O0UvHlzGfN4*F1%8AGjcNJ|A9F=TRilEY!pA@^m3TALN#yP)gglr9jM5r z8!vmXXwxw>mQR2i$NEBTZPt=q@rz8awOyw2gV+#WMHoXgcvbyei=VIH)_qIkSr=Cu zq;f#=;|p|pV)_Fl;-%wNE_OlhGZj0B@hqX^Hr>%2%5!C@_#DscYt*osRs#K(sCP!l znifGALl%y&zlw9AS#qkw0-yBY$oh%Ib}s`_N=O1 zR2Kb47UczTE?wMDGI9_>9uby4pVu9%$W-Q7Z@dAyq`8y>r!nA{a16v$Dhq&`S0#cN zM%J20A>MHxlC|Qk+2gJ*W@QSG*Hp~>8s!ITz;s88?%!L0sVt73gBV-CKJf60a0H|AW?&@+DT^(`AL@vfPQfrT z@5%yRHGjqkKSdAs=_00@p3mnMK`Z47-Uzg92PX5pM*4KQZ}elae6Fn#CbV z*x+m}&@7B?PlO}|MZ1KJ&*tFio#*`zbOrb??#*K^Ki0h`X#S^Ak3bBED_H zR!{qkbFv=eT_Trs%4SWhqF81WJaZkv6ad_cuLa5pe4^HM;t961>;p5+eI$&h@dp+C zUQM8s?S|mj6s}uf|Cn7}L-MrzdU*w&3o|&7J1FaMR|I z>E#!7dEcDR{UgGNB+*5&|c_g%UWzv+TQ$OXd^vjTDkrMl+n%S%DTR3@LQ1=23h`xdZ9nl z=3deRkST6o*HFbQ-QuxmFjH}Cl8vz#8+1=Mv+&9^qm{?x7C?o&8 zS`rIEGtxyn2V$5KD68N=Ae1jU6v5@2O`e*|Z`5WIC}ZKs!N*mI)EDvT7B0fvvrO&v zRawuF<#UJcHj(yfKTkHVz98c;z+roG-@He}aYe`)Sh9ke%te)m--MHh4W z|F$*F=`$JDt}07JE-;HpQS$rJhr%`%_INm6f}S(1tWK1?R<_BGokYW*EumCw7T<`% zbvs*_3|4fLKO7PJJyB_j6v1Tv)nta&FG9Sp4q0V8ZBH0)@SAP+VBs+#kt-jt&og^JtN9|W=`AUGnfj9lXD zvcf=B+~5C@WiI0}+T^oVzld)lp<@@k1zjaw;8Jn)`bzfl|HJd?8T#)$b&6LuGBRmU ztOBClZ(-`JWCJ~Lg;}fGM*7`34J6#j*wsg528Ltc#akS3e(HuDDBX)bY*vF&(%`Gs zNDRGtOv!MgoaKt!@v#mT-e#J?G}eMXDpmd5@DzcD#&CaPiE1-bLh|#Xv<`9?*6sgE zQkl}N0GIqUJ*YcH=!LoG2BLOCK6(w&_RiXoG5~CiTnj4l9vF&4Y*xf8VRY*N*;y~K zRg9cMg;iK7OZv1{7xDXM|Y6`#oj2Dq@TDaXHLPqnh#( z+~V)sHpDsE#I^Y?K>1q8PY$1Y8}Y!w#$iTrR$&#u zotl+`KNlpnVQTr=7;ykY<8T_$YT!srMt;q#3}J2vPq1!JOmQ7>hn=v79z4kyVT^ps zXBEX11DyRisl{X;wgac&2VTYKZ^nqboo)a^A(L8Cm)hf4V|ZE(R%=hs7G+CVk@{X- z)NGW2<(up)Sm$DEcuNhb<#SaKqSz$D?bVSdjGV1*j3z7MT%85hS;aWt(%kvjn#z*UG|M7FH^d$7pr-Kj;L(m0r-sVc zQk1GjpSWLsS<`)%v;G8P-NdgFr`u-2tB$6;o>-m+Or6)X3M)$nlNR{8(xw&UV6%TO z`=CRhQ_sTRq_j|@*WN#Eb5zPDJ}c|%%SR}t2%%4{6zxkFS!!*bG!_m%y04F)uU9p1 z;B6_!hYrRNPLWJlcw?FLQ))(~fm?Cm1G;p+M*_h4`l5L2*5X@-%;-1&_81tzV&*;QHAiI zkZkDcA%q`_D?|#1fr^d-$^L=}4wn4d0}l%P(80R(GZJZftOv6B9Vi3VUj`5m=9=sm zoV+pg!UQFvx7Cro(LHk}c~6MLYjbu0hwS@u$cG_+~QQJJ-l7oYz zU)OseRp%StggD$4ZOIBHyg>!%)rTQ;oJ1x?dh49n1a;n$)G76a@qx`Dmb^%D2j-fk zU4irZ;(VAAR(#mzY%;>xh}eYPc#~?(!#!++iyBVVbj%+IJ?U^{!zoLZFGRV!Wo`d3+1LC5cg(7=v{HSeP`Y&?=2lxsBfq!6EDnHURY z8ge|UkNv}uwQ&8|q7X7_4gcCavJjJbf@I`v2~xn4#5 z5<^ZxO8P{P(mV{YV@$MpciQYz@xZ@`X=!#CeCc2FKMOM$6u>e+!Y`e*gh|XRsM?ey zqH}V~+dg;qtz+>|e$ApsfTxnuCQ=t6vZO1+)R0vI8}mA=>f+Lgv2E>q5bVRPxG&=z(nF`m_X=<6a4P zTJ^w-rqTCwMLrb9O|)}kMiMg)caC9svQGmpqDe^9wHIzj%^-r^fA$2K)aob^ zXhE|Yv%D2vg+V?$x_fsypRVPErO1tHYsuahwl=|JQ<7RYT}=ppqa#+-)IAQ+$%*9_-W5!O(V7&A1c1ON1M4@2JIFMS35R5=BI zMGx5pfayp1xivLJm@a5kN{wJ2O)CNYSfVD_7;)&4Ww^Pi;zaw5IkMPE%tB{sfi?F` zCBQ=WmTa0M?GP|2c9IqeRnZLBK`$!5hCvnutU3E7Qh2q{9%P~qEdGp5VXe(~8_}W5 zlhmRh+6DHW{hGCoBx3()C?iSlp7?pPeehl3xYQ>+4f&CGU6_(Y>?7A*ODe}+@(ZRx zpxIuYKUQJCW$cm%+AWinFHjN+)~X2c*&0~Krqf5_YJt=I_0`*j%XrRNJfvVcn`CWV?6_%*_(Zft^{zGl;uD6YE5|GU%MpJ2Q0|7Ftqe`9alKYJAa zb8{R!2Ol5Le``kD{QF$*La1{x4cURZXlG#dBBUd_K0B8R*-ad~CD-`2o|5}>b@o>! z<%K{h24hh?d`$^##y~_g74hb(PL=m=JZBk0%=8H+<0kP#ZRvXmHt|EFDbjvCLy69u z7@}Bj|3CQ+sS~>ic@Bm-R{CD8ZCK05xC}qU$M^aB3iwW|=Gh6K?F(6z{KgW+GAcP< zvR~|NDrjbXedaZVHX+R_+p-2ye$vi-=+xAC!nZRzpIwPv(W>7<4s@u#w47jhCnGp= z#;Vs?dWZ_87eYm}zzZ=QxWP!kMMJ|pTduba66fvbd2cySILWJ2e%orR5mGg%`gHD* zpI{dv>!Aijo;cr$}_ja~k1#V9i5xqIajxpb+L_vThe@(C$3y98vhy(H6Z@_A&1!a*#=@mB9ni|Lj@)=M7U6cSPJZ0J98k`Fdx!=?dO}fPXk8$NjFKe$F%AG?tXo?kOhs zvZoz=CD*m5M?>v)C<)%p)~C^S&~4}&#NkL0eS>$7U-9C(&lNFxgUx0AAcM|E+gTo? ztF#kz8!LXoz9dp$aL4^^#sYcUnh1!VNtm{*qVgso zXi@z|Z3c22FT)sjn}oL)VyDOClG*yBGQy?#_zk~^sdTWL@4ECR)t!p9n%3u*c>@Y{ zMWZ)%=t^CfpavEiSU%oA(TsR!@OW`(_xz4c6v_0P-M~RlTajfr_H5tzO&v2J1O@NUx%yy zjx_%7B+O(kow&(eb4&1ZRf~8Fl!ISsw;g4r_3MG|0>NznVb%iw#Y0do~7H+ugwj^B(z6KCNutpYiaqr=n3gS0D25 zD2k|V{e{lWmwbZg%p9>|F>i~QP&VTz?QVVTQf;qZSjpBf-u}%qHM$k}gR|Z%)ept1 zTZ9Gcq){UP?fGm|#m3OgZhRI$=7BV_sXkVYCJN`wT!JOr(-(Vf@>czUP%9%{*NTpD zN4`syJ+?T{PdT!wWIa$m$J*{~E0j4eJ~gy&rOwZ|{*od0MVD4N_X%$}6z_EIE|gB1 zrDw|~A#8IwY87YVBJ>#gslQ7GizeBQKPp-equBba~6xCfDCD?EJ z5b9cqM18|wxxZ`Y<9F~>^d{zQ&s(UT;JKc-#xvgFWrrNpRbU)*VsP} zts_UipDa~21Ip1#LEvAIY$D214*Q!?7~u2|MvDH@8%AHP5rH1jFq_c>l#dhuo!`6ukY5Y|_d;24!Sa zce1H{(A0)D*2S;ZDot=JqiYHQvKQaNudQh3L0^SwPcfN6j?>U%bF+0{H9CrtafDeF zJwcJt5O+YRE?ml|Ss@P{ckKE+zvl|1V>;e>YVhqBy$(7O%gPTu@;;wksTP%Yqpz83JRc2QH<2;9r<9A?c=sjkFRq5N6nP~Pw6T~-7xt9_GY*7;g8ScqHE)NaN-si1C`OCU*0{^>RC1uS-;JagwZft=0O)v-MRn=t)8#E99HS_`VNc z9xc0~%lbzPKWhWwhM)niiiZw?z}RuttE}#GHq9@R4;zW)9vk4w+X+UsLtAWnB?1O_ zl)mZoDLzIQo6LQ|uRgi;-_ZC9t6iFS_LpxGo+FCJxTd_(C-j!GW(pfT*wNxd;g)Bj z(?Hdn?k?@E;GVmuNxoYPyvS|muVe&FC74gbkg2mf{Lbt0=3sk10rLT<%y@HXAFU|y zY=~#hSJZ|3;0iyy_v9?E6lq38EGmjb;U4~+s)ZQ2K8rKkC@;&$x;uLYXa?w9j^SjYY(hoQCit_9Oi{tM?>&&fSE3;HN& z6~1#IfmMo&Q;nguO}mPT(I1u>#K@Uz`&Q?Q=9CYyBOWJE7ulZux^PHSx9vfnh!Im` zwD_KM38|2s{Ny|25A5=6ixI{{?^}WMgwAdRj4Y00Zq@LvZEfcLj}FkPYL1Yo42fo!_-{ik}x_g1AQZ#?vI{5fhX6=F2sGuLUd`=$V zjo~R>nl|QDRGdu??C}}kB5}@mf(zPv!KhkXq(G;P$fgfO_$D-83A#?Fh%%dEHV5JU z@{QeYpI$O!Gawp;WN7V?YN5*2@h{YYg3wPrHY~*G7MhgGE?WYVnjWp<#I8>=oelWR zO6}gRcGfqEVXz|4V+HKf&xQ%6Q*A63xmMuo_RSdd6pHzo5YO>%XhE&-!?O!cS=}%c zE{2^mU+?Wd+dv0d@AuK>0ReP4Rv>cyWP2MZ?0GRFC_J5r>?Jm$_2U!R79m7kZDAQS zN@b-jm_ZmXdj=S6j;OH`NnNQxU5bqt?%xvRV;4 z7yM{jh({|zsU5Yi2d3E$hdoVlsLO!uR@TYytv*a^+8<$AR1U;YqRVsOh;VHeX+;rE zR&}EA7-~Lc8@r)f7yF!jNuR))jdWxfA9L2 z=8e4N?Hhe(y^dL-7S-nouq&&h(8Qc?*5$(>4(K6JM}i;e4yTH8&Ah=lL-8E}>w#m1 zVDqlyNJ~611C*xx8wl$jlsEAyuv4kc9n1tb(@JrE*r*Wawv*(APzquNFe zHjwGdabC2);t_o3OIC;dR+=f8hdeAKUQf4Vrs-$$jJau2rdav-8GQ2T6z)4SxJDPu z4ghH+zhUM?WBZX>`8Ph&d7F`UJ=3&&;uT$}t}LAOIyab&+8I4$ZNrDQw5@Mg*7EMy zUT80yqGYNWlZA|!PPVt`zt#$A*fJl#MR86mFPgod+N^Q)ZL6Ecm^~z2$N%$pmGn(O zPR@EoisL@138_Kwu0Y`L079I~! z+RbHa?{NM=xiI?V3h>6)88ua0_%2U5s8glk&3*r_irg)tqJv@1xPYJF=XEhAL{m_- zc%1J~#4?1qJnv)G-;4P8NIeb`mE!?#td%>v=;5kvWN(CPI2YrK^yKf+<@P`B!wWU` z!tpn!uU`}XO?oR*rGRCz)Zk(wSE6Gy$4EHexaJ~;+84}ZO%W%(+efev(t1Il5F?|TF@fdo;M`Zm_&n7( zV*{P#>4Rs;Kk>c(y!QI`ZxCeLF;1(?C z$?t!@z3NQM*Kp>`|}TeC*7B z;qUa>Qsv7hj7KE#O804=QcRwPL+g<5rL)a%Z@;xknqGuD3m|JZt%>O#T+m#Q=o#@B z_O{smlS#aJK_(8DnL;!s4|RrsgyqU&HQEfp=uPhSWDCPoZUYqe^wqY^$Ds-NU;ySD zz2nWxaMdy=%)<5W)RjD{B~CtfoRvdNKN@Cqhv)IM;=?o4v`|_Nr>E%VP$kx4c&v-m zp&J&RpnNCD8ZF0>Xz=VOZqg0wu#YS0POrdSsn=qdSmHBssj~>~Y)ngm#!>psH*2SC zJ^Xt6!$$_yN!YNz+eQTol=y#HZ>Xlq5WLqiPnn5~@iP4YxAv>?WXezs6%y%3eZ51Z z)-k#5e;8dOiK=g-24h63A@Foy+EC%G3kCiLyIR)3rwq67_`kw?Z+OYvnkzWL4{Yb! zzc!@oJ|Cq&#1@?#6mGNKmh-YepD(vi-2hP*e)=vrih$0oiXYX0~1LC8LFO2k_xt68?Mf&z` zl@0c-Cy$jr(4+fZ#}8_yuzQ3t64Cr;j36X8G^NlJx)Baa0nTk0n#4j*L2bJ}!MTWY zjmfL1G^X-mKOGl7iDso#n+wr@b2H2D>AE< zIyL2@=v-#SYJ$=4#)i**3H1uIFF3PK3rpCl=fpR-0RLi8R%kZt6lK*)V3tJx@+;%j z0Al5kR$m$Ji#WncDGCRyti3b(nhWa17DX_+M+W`~6Bw~utNdGg z7_)8{USdbx73$cKHb5fSMbe2nC#S;Nf7O=vi8deL{aU-}_}nqnxuPB24vAy^Nuhx4 zJ;9se>x5@`fC$GLO05N^iScV7Wr}f1xHE{+SvQR7syyK_)Vl)1r}1wBROQEV-V{Fj z#RIa+G*Y$$UCQf|52MsWzp<^=ik&8++(Mu76Ku28p(Jlo|4A=?xlP__?*6TXg!^2X z?;W`L>dS3z)%uT3Hb;}DR^=imUAk4%?7uNftV_QO3bLdlZNVW{H$H&=C*0MimULy@E6{Lh}EYD_o8{nFid z_1B|P{XYt&p@vL6fzk}i;f`P{h4=OT_?=MzdI^4rGKfgIn&5q|?l%jdZ0Fq#D zY2O0o3xXR^QSbIQ`fBDDM$oOw!SSs<&u||X@G$d@JgJx<4 zudGCNE6eGGcawHAZ!3;sSk=2}!iuQq?ODl*>YGa1_6ZI?Hy-<^V13+Rb?Ad9Ql&xa z@LX5PFf|^)Zs=@WJ$YDTzRv=4EIUnj&O6t-rL>Fe-&}?HVan>ozvEbb+_Kj(hi%in zigPFM%aTcLEENK{hsCQzb8|#%;ffLg2VefA(dbe zC|@Q&UI*TI7njfBfw(LXQ+I_p9CtfXg(s+h;`qcQ?L()O56`Ei4!wt6b>xl`1DULg zNqcAADw%PsFfU~ME<^AGe>Zur7?f*I(t^fou49330YCFwy}oci<9#vPbnj2|?R!*I zWV7NUC~EO*ZRpv}wb8#U;iMJ&d810t8#?Rb-nc)$GgIKEeeGo>W3cVFIe|ZQzLO<~ z(*~;UQNP55f7pNFe~H03uSxzJ#^vY5B_URvcUR?NnCo=H50BUz53ODmEr}#jq3vRh zC+1f2hh>-F$9ZRPZBlSD`O5kX;(~*&c%ot;qUu@0eQiuc{wh>&(Xv_tTdC^CA{4UZ zETaNPx8%$VTD)xj0(OES^8wDR{gTjGv%m>^eru4FqrEhi_&?b=;uGEAxs6Tz3^6)0 z5sumGGh}5-380tGUq*LqDzH_AL600e94>;^;m6xVYC0Fk_T^~a*8h6}6(M_=`$Ry6 z)XnG0pSJrR2F@3R?l^Q{SY*>e$vLeA^# z&5=iN$Y_1W2Hp-yThqt%+73;(21m?&57p#Mi|XlS7ar@O0uNJH^jytW-)^Qp@jb#( znsUr{YHP~+C$aYYId?}MMn$KewhEnW*1bi|#oi?-%*5#y(|Y^LCVv|HmMK{O4_&_B z0g92~oqJRnJV*5m5LBqM)b9NS)l6%q;G_!9ukkFM3+nrqk-gw4n^@arfWYuI`K5`Dc^nZw`JIH-6igF@6~}i ziFWK%&on1~!OLDp`;JcIm9G{sh87YtnwB8Cd;$_WeGS1bL{p{S1H4rF>9@Ou6hgR8 z%#+RXKQ4S%p0lodGb%G>eIV@6*G#x#{qf9n{;$*g2+EJ$J}v07d+=;%X49dz)s61E z6SQp%sfr(@CQc?X(~fQCi!U|6J1Rx@3*bQ$Hv9H`0D-hbgxTSl9f*N{EE`NUXx z2lH1-bu2t%gVre`aP-ZdM$pz#Y^YqBGwBjzJ@dsZ=o0$e^Kt2OuO%AUfts)MBdt6; z{`rzCA-#7@RhOY&jl&%LT{dA?a4kY+*;&zpG=&eE0Z3Vwdt5P-)-{rUXE#4#q=@}7 zf0jD^SRx(nOv(u)#=n?rR&|}3`>2U01plj#%kzm-Pf(W~|DCb`ih4KJ2KJlW5B+M; z-~3}nl}>V2d=xA6VP48_4ykyFIkf~$+2{WXQ~=M+2buplEXNX4D<&))@{jg0(HbJC zkFMO`jg2UX{iSnPo6vrOv&DfToF^KVFrDq*p6%m&h{sj}CxKZM36LCxpi=prS&sFV zeM31euCMyo;7s8>DZ+mrbZ^1~M|be;3GUy=IO|-@z%Tt!N+^HI?`uzMuA^h6e2pj% zdQXVa(rifQbn?|+M&|>|wyixui&vSDj$tuO!+`JGa4Z!-q2p)9b#)EaH5Z8(v+W~C zUijTm8^wZBt^%hqo=%ntHApy%ooxoRTU7EI_Y<`lFeC4zyfbKGh5wQE8*crLwIrI% z@}OPiU+uTH1>;-dYWwm;;>N}{4Uh8G5$N7Yhs4cvX7OAqT-Q7a(bD#dvPb2P)*Ebm$4+zac%vQJ z(f+9^Uj4uWo=*WM2h!m?XBf|G?fgvJgK|gH(M5CY%!0cu3&Fv)e*7EeMS7ij)F}haCH;qfTJtFR~(97 z8DFjB5#RhBZ$${!``(u?SYZlJQ<@*B%T{maZ)9QW zr~#Ea1ix4qXCBtNJ*+4M@U({(kCt`~a0Q~_p}dGqUTb9q^a?}Q*UN0rIR~6G^2T1C z2)nrqx_Bqs>5OAf?*~la=oCW#&(*-OCS%y?fW#f&+EcIXBsyMa z{xuZtSJ_*#+L-&K#hRKIDk&(Vrcc2(0q4lUp!RE<0A1=HTuZ;XNOhb0=<Lm1aU)r zx&yjIn-1%EzWSbThn)BN~8Ob)4W=prK zv>YX=;7Fo-IM@$zP350P{|%9Jr`93UChbO%u3a!w&U;q)J8H-bn>**u4MP5W%iP4N zLx#mfi3fO5RsH#j2VMZ%DZF>UA^&0U4RX%hGAApf%9hydg41T=mP=8~gQlC_LApgR zKnu8S_Uxv9L6|V)-vLFR4dV@C!@aVQ{PNE>nx80-Ff*}ef@Q9sA_ljpxJdJGC!6+U zTK(z@)?auh09M5G?_xx&nR~gova(;iC(pF$h7?g|F}3O3A(;F{DPT|jz=%}gWXBDp ztaXmlCdo_ijjjYJ)SQ{e5F`k=g_HhxJ4idn9#r1V_U^`I3QIRj_w6MwgBElN^)>C$ zJz-I%gO5R6VAR3#Qe^v`1+ z6pP0V!Ed3qCe_DxtmviGAGE8&-w+qdLClm=)>gvDp}~1j_TM3?(ARZ}uUuY%>3EIX z>J~~n+0c2KwN;<>^SD*N`Xue=hxt-`mN*j^%HR1<7~N)tzcN&i$ZRLM(myF>#f~-v z&8{K(j_pKKX@}O%&OU6YzluKsy~>hjr(bImI=FmB47}ycpm&(`t>%=8%1Ah`F>Ya^ z>isKpQIUye$txF;yyx`kVk3OZzbrg8oJ)x<$6(eGG{bGvEb=|4&ssgwV%_RZ&o>{eT%|uOtW}8)?OsZw_ zj#>ei!$jbD`rqm}pWZsCGE;-YDy)iD^zN`js<#nGYOp|SdM+<07xw&~iLw_62@S}H zm3$n?q!swoDK2vS4=`WSM&%NbuG?`b4psWB`ZG8b&jS}-2D(Hp-18?ykNT5~G1#iU z*O!T}hifMcLX^l*7W}27q5(r>8l=*N6xuuq@mkGxt~fzO3rO4)kPv|9z(zjLiALMO zE%8zz^)e_Jf_it1Ayr04+Pyf0R(Pr%`;RgK*B?!=DpCUqVTUrk$9rLObYUdgP>i1< zK5d7CvhnQa^&S1yBncYABgZf_LsIhnIdLz7`k z4oOg~0-tTn7cRs|dF?;y2h_j&XTIwv={AgF^v#pdClgN>zIA0-KsHhIWAWDKen&z z;`OudwSE4$u)6HT-~;eOLa@=LkM7i1v=IZ+nY&Ni;jI)+!R61t!-b@~FuhQTwzU1C zu>h5gVg@w64h`NX-LuW#wI?q1N<(#7$cOu9H%Jp-;+3kvtp5VrHV3K5fL^ z>fWwTKi&MV>AK5Nx&cWq6x2x-#XkYE@<9`=HVC%6?w$h~O*Xx14AcGgWf=HO(I%CC zBy4j2eIc@x1hnG=u~SqJ_&0i4uDbx37e`CgU6MWb?fO;VghY3!^dIlF*M+>7MYF0T zv8lqU$x>W*5N328XgAi?fLP_1cP0QbG`koKuAR>|D5qAG>1U|*zyQ5Sp04v^I~pL^ z3JWn}N9zU+a<(j#as<|MUa#~Dt7nG(4TmyS-A6%z(c4nJJAfSpfMqBcm7L53ASjzR7x1G?^%36}x1_j6cEhnZ1lg1EO9!N$EvJEu(QT5Pej3E*^LDZKsGR7Zeibgq zE>U)R#%nbyRsLh8u6MvS#X&TUSXLBP!Z#)W)&<51N=U}(zc!@rlzH$*X^`-SVQ=WJ zN*mJ`A4t7JPX8@_o8_w+c*>nrmN1@FCZeA83?iNVT=1?Kmxr;<(cOLi+k5aC<-O1g z)#GC2A&}+jU9-C4CIO4j@<(U-h<7|%JDR;=lxKwE*-j@6zqcztwpf0gInW+lhOkHG zOMQI5Q4#wc*2Fc)RuG~c=2qRc>}g32IQzw7{y5y?iyukk3=q^V5~G%gZ~ti9^`RNB z*T*#H)-0W8wKg z7+r9J+aWLtTRgjS-p*fhMVOA6!`r#js+P~FF)Xa*#)Njph5kEIGsFz_Xz z#UCto4=aNlm6z>8%Vc$59e?yeC?&zeevs&~+_~|2Z={da&&!NJ??`_d58@l%X zcCxbVDEpWu6E*xcq`H?M@Fd8Y2Dws9qfwMi4QDAsUEgtsR3t@xjKtA%E;_G?_@?@g zNqonT{pvug^_>nlAEkmoywK?cnPNGv%z|7qPf*&qBh5VQ7hVRXvU!f(-}&IjH0tSJ z#xV(*YC#+CWLKpW_fz%!0r=ioQJ=p~k=0*}_X+f{dpI+<4Q`_lOPk$s%?SLa(WagF zAk$;_wmR74w04+srn!mk@oRa&$Q2^-jglCn4tIG~1j{+icS6Q>4e4ze@UKLy+iU#% zKksxhvDFl^e;>B}8gvnfu}|?rR8GE5-Z^Qg{upf~ZOb|@#^@T>q*|f*sO2vJexsZF zFBqQU@)RGY2z{L+{ku8JExSgJF;Szfh(jAaj7)HDe%t8;r~j?1vs>k8$$%f5ciz4=LRdf5YC@>5GjU`e37Js zw=TAyj`%Nfqc8lA{Nj&75moforI6%k-J(? zJ7jt2ITABy{L+pwT~&|zYW?=NhHKtJz+vwwvn80$3%6D`>2zvAs2$=&rEIpSTT@Dc z{PS@e9z>ofmY^b{X8DGr7EwM$ zTR2R0H}{3(|0FcBtouI4iqm3D25?f$ff0@bjMBwR>Jk$Wfvx-kmZ_C>AwBR4|0R)* za@NR&;oE=;jezOhU~Did8uLq$|CU^@1QekAwu0_i7-v@`abkr;#TP;ON z2#O~`au=xg4L8`sFZ?e# z#rdBe9K*dP*AfiXPUZgygaTQ<*!f;Ie@0g9m4<2>hP%}cLfhLsE#^71i#WZ1+L_5z z%iJdYAVX9gV43PD@7nX#^*^$Lt(I)I#wgR0G+=o!|8{>(q{6<`HM_z2JaDhQAzPCzk3J&K!2;pDe4TZ<*bFbzVEIlp9Ji8Xpn;R2Y) zjOZI}8Z!&jmdmH!X!ML#VN8V8;kSB~S|8cOAMg(%dp5V(ZrmMcTXD#=nHX17KMr;> z9#G8Ck26*~M=s#xdm-Gav-d_BO|C0D2r|dg4 z;YQ{}9(!r$HN#SMjCXp&Y!ncLMm>}yhD_}oQFJY-chZP`LdCRl<9tMIk3Sv(P@q#q zmiA`A>(zp4Zuzq!bAAf`YNYv7gTwilc20mKp1`AN19x>SK1dUMhP{Dvg~jkB#)b%x zsRTaSQF*z1Nw8WX5y7~s1^A)AF_T;~9Y!2S$Ui3Xd$S`uAzU`=h1_q=X-QQvt+wpM zJI;fC;jETU7z!tha+_qULt7KVRD7ypH#_iTSr9q7LtPf0hnO%j)ZJ1idOXxHu2|(t zR3U%uX=Uq{;f3enM42u#|ghpe-#~=`It5#1 z<91@v=>_tea(2&5B^NIOO-D^6Mj{`4cLc_wS`3drOyK|N^L3R#H1>b_;Yuc(i1RcyphtC#Vn9M6=0+o1a1IbkgOG-q>s z%33jD{K?i$vwun&UJLU`dZe~#k*V2;vD7FuSJ(-t*W{5FU?h)gRDT%c4_gn6n_WplKpWWNo|NU3i#RvJ1Zi#Xl>GG#08 zsNdc=Lyekh{C!y?^mrxNhR+YUHrL)d3pAYwB_8x*;4+3bq9<))=zLg5wrv7qCMut3 zsX9v)T3okVMHh_avwAgJ_Vm|x%C$Gr?O-@^#}d>6ts($3Tx6v~-x&jTMeF5Xs`Z$q z)_Bkb{ydg}kpg#Li#pR95u@R>uQS$C!yU|Z#Jw0wGP!f7(%nYV+Oflp!(xL%SDg%& zRkt*T)&UhScm3bxmkIJ<4QF~>Pjl_%1mP5| zwSK353vgTq0)fHV^Rab)_w@SZz5#o_z6Rj(ORD?wC)wuf>k1#?&7eIZqwDsSTFjCP za=I%MlA3w*)$mqKS+b*HgxtkfI+=^cfU1+-A8r^UXl~A4m*bG1M}aMm4fxtOQ5@If zbbL6{^PsT-Mw?<8R4we_Lw>2gHzRRqMNZwLRAU4`bDg>c)lxFkkeuZ;uFdJpq%jfD z`c*IBZV1cnQg$uZHA9(b8Q~aj-wc0+acbxAS1p^M;UHXl%|!I`gEsh|W8>PTn#wz4oxJ}K*eg8tI zZ77W`32pHzo^^S9(6%UXO~A!Y@Uz&-)A=S>I1&`YKX9cVs9d;d*s^ z$R1QOO7>+yGJ>7;%6a*Q@VYR@CAD2)u>7#j;TnsbiK`S#SMHX0NHQ(We*ZD=eXQxW zNki1dce06syS}*uFRIlC1v@R;uX@=Jjn{R@38gTRlHS^})|&!_Xtf%?pFnwwN9OW> z-J_NGhA1pWD9fJxC<)u`#H zB#1*h^2&!lDW+-x^sF8`_Z`~0=vY(RT4})RTM4mxk@sFm-VTY16W!fII(NCcg>&sy znJX|}E$+>~E(X|%=+b%DyT(Q$FgUI5uMtUxniT*d7brRi2^B9c9|UGN`Z*wF{_nr2 z%YDujA=6*l&4u|fcRE_o#rdZ0X;>W&J*kfLP17;jDFD$22EjYL%!R6G= z$Ts*g(_gawuQX(oXn5Raq^07z1y}g8e*`G_Oj}01c$V*lW~h%IKlg9*!y`2;n$djs z+fYbS))UrmD3?19nZ^|A_JI`+nA?0#aAxTT?F z9MQFO&zD(h%A4D#JN3S<;mbRG#EV^lU*8xxo(ZOulLO|>qkg(u%LzgIiMqIoBi=cC zu|L6g5rQBp*i=l`^8*sltAT<@Pdh^$$1^i8@n1f-vnA19KJz3JDS*zTboQnHX5;>V zdbc=o718=nwMlkol=l(%%+4#Yc71NObB>ZC2dHq)w>o@#rE|7)j9Cou{!4AQwcz=j zOg%fLUu1B}=yTS?B z*g&T(g#Agtlx?EeVpwf3*Ej$NkB_}GI1lI*lKIm%J<%(1_niR1PK*?~ObpXvCl;5_ zOkM*7T7NCsOVw=kp}yneTcS{b-p1^B&C^6f#yN*4#t#Iv}}q_xaR)NGUeOfX+zjv$Ht*Xvjkh=K+i9C-C&%W9N*xKj2JqDvvde z6HHV|w{G^`6ZlNc+eYTyMax1_NSg3Sb>Vs$Wp^Bu0w`=3j^ab8>3C+;!3YYCf*b^g ztJ#^4m@W?7${R1_<`hdSCCmIC1CR=@rO78=FMwW`pIH1ddbs0k+ zuT+7E^%hK;G8)2mmd{MNEo^+;>+zJV93Sv{MoymyaPU>G(GCoQDTlTEwD zBblDB9rjm*hf)f#d#0P?=;U%gGCEgSI9Jx)KQ7*VG_uJ>0i=TDOl#Q)MjwV_eKm5+ z)fPA|JJ#Rd%hvJ;m8Ey9Bc;{;0<&rv(>Y%$ImSPL19z&ZS^g#*`@FS74*L|;h_{5HT+IFL<3_AR2@d@$2M#8CH-LqUifLk?` z{O8wg4SJ>)K5rg)D3z?#4hqe^eK>p*0w`4a$U*h-6-8r5ch_@r)!lD#?u$T%DrVf=1$*Xee=@2#;-AnVkYal{RK5Sx?=VWt~xHhOk#*sbV1$nvX&i+`UM%OXwvPnIL1Jbn56fYCVKNb9c+C_y2J z1n9o?r)5QEgtDny;M?K6_ax@CSk7|4Br)w8JD2ah)=%&5x*p^~wM9BH5SwbSGshnT_6 z2_u`Njs~w&vA7egmvqCa588r~Hh~2v<8zJbAb_0^UlE6nF(smGJju%Ist|n@X;3x9 zNp40W=so<*p)aRCYDI8Ocw6q>lK#)Eov{6#?sL7AZ_Ug~GI*cUGD(eAS_jaSa*aY1 z04e4x4p-x5Oj`Xiw6FYpJR>*+D6|C)m+Aa_4KPEgKa#^VZqHW7V9j#cEGuo;IY`Ge zF)Qc^InZv+NWV^8o&@Bx0OsX-SX9B>`7lf@qusY903CL!CVc^yyZv;p4Nw_Po-Gf@ z5811p1JBBy|URTlz zJqLV=^-S`q5cFsAl=b9AylFVaP8sV;WXmYy#8@fm2~4+`8^=_Qxa{z#9G|}MVv^T6 zM(tEUDX?SNcndsXmXmKcBTdpW(ffHKle{jXe_Mk$i z1?8KLl9o{;mW4uNdLl#8r84MHYo=X~1E>F*CRXrR01BTIWg&rxeezMXx~1}f7^Eg~ zkQtk+wp2Je{rmKIBti~4dk_rP+DJ5ffUNZjezt0O>L!tZit{M|`Icfoti+qD?&JR= zn_$vb3yUb|BrIT&MR+2aCa65O)A?22g^l~u+YDxmHV%$2Q^y6?U@Ns45(MXDNO4ew zLpUZ%nXn)HGaW&%FL*R#f4YRE| z;}=256K_Z+B!ZmIYOz#qoO(c7j?5dag>%-V&mHytp>yT9T&Vzpl|R46t8`&eBgjV; zx%T?TjlXy(zF^;O%DLj2^3VSSBC^6rk0JpG|J%V`HE{cJ$eFP|R6&9dRs$vIS~^ux z+JQ4ABE1e*6bAOR_t@$1qW%8xVU0F?-kkuc0ciJ*Lyc7138Y#V;RV8E#PW1g%^{VL z#d1-M!jrX@ObK{wru6?xA}aMbW2<`2y29-O);28 z9>hw-wePZ^D<9|={&2(gS!)>2ZzKlHXHX1)bsUaMri0?Blz)2OFF}3~aPHk5uAKXo zR{|goS=`qH-x>1Og&o8{ zy+=nQp`sIT-7E2Nmp&wC-Js{lb}Oz&{g$oSHuez(ffpcg)jGwm0HcylIVM^vXU0ZSN|zjt>+HCUS)iSyf(okF%eFn!CILfzt|i)@s`Nh)xW5 z^$uL~8fv!p`yP5rKWbNMm=En4VeE5DHPrRy*U3z|=9RkccU{F!Mz*xjndif+qpU{& zj9ZV1Pfq@3oD-b|BH;}4C^TE|WKUdKcbJl&5 z^{1yOofD$~n8R9OBsm)3QwZbJP-?l07@pa%-L7+WFIbK7fP`Ie6Cx}zPe>iSJ=oO#;A#szW zh;+cZXk#u9Z>V9^Io?o`&cJ(E-nqyg8L$Y=jF| zR8M2eW8|R4uU6BQ9$2L`6yeZTv8ayo&6=4#Eco_eiVRekP zAAyN#RQWa~Xn^%b#k+-Ll6`q<@E1@w0>Ua8h3n^BG5azIdemDc<}KK)J2Et4V(B?) z+J9t)eoV=P)E_FaVXCcc-Aq`^xsNrr0w*V3 zd2F?^Y65|b5&PUTH_D_<7j;18-5s!>P(Tk+-(v7yj)DLdQhvX0Ih_6U?FR~p`5i}0 zaf~SRVY-@Yt@!DWr!}|rA{+#p$}q0#8H-B8&+h4G`Ci{0TV2*Xr_mC5zZidC$+ntY zY+56u;M!ReRnxD*PA#7t@7z+9B!Aj-^G*?Z$;!ckeZ3n6Sm(^RVHzB}sY{~1yhVA$6emHReP$yV!|xyUqu<>8O{61L&@d zLhCD=du`Z+l9+7VE>aBO(Qa#yHkaIcJ-Q<|e{5BHn zJA;*1cJqL1$qX|NtP}2;-e}=M()q5_TN=@aZ0o53)M$)C1sC*_eS(vN^&k7|qnX7< z`xM?1lq!)O(ApXI-C4aAZ^}PN);RdBypQppV}THpi_~(q3PRxArVWoYXI0aOqP5#a zc;Ey0I&73vH7hWyE*Kibm?-0jomjYrGl)rsl^KK^bBi8FR#nG)UrI5 zNa?F9hr_0(w(`PF@pPM>VmbUn0}v;biswE09??bnEHYDBVwraV2bG2zerx;J{874t zP<4s)i0b=mB#Xj#wlstv#`kKb$4Z%lI-KuM#4qE{_EF4QS7oYU3pU})P!iQ9UB60m z-|R9`>nN3cF>tz6Gw}4P&aR+%vyXbWE%ZKbZE83ryrto*8K{x7%Qk>Jy_~!Pb}DW( zV?b>9z5g&<<%bOCmyDsEEJ0$_Oqk=a&khDSV&o}8B34P2_Y`yZUP(uO-<&wJ2e7x5 zB46pzmn|p&wmWwxk%t$^AFP~L9Rs;$k^zq1-PP+Nc1fxW?g^{e$xRRp=-oYeKSff1 z@@#kMPruCre)+Xw9)J<*O?(~lh0viRM@He>5MXHM0ER%BXYCv~ve{N~X_EsMQf_gZ zhgtht_!qcRlJAq2NefK+nC$9mPIvc;KT*JTe`OCg-Yw5yQvm)wwV%J+x*Ru|>__9` z-8ZM&#Jc)kfkrDERQe;5l%4G)-Jxa-6`-=J>7`~(U|Gh&ZtPFRL1-igC{5TsP<;sN zMLjWQ3DhNqMP8{ea;`}vMjRko#>=^$IYaHlF6wl9|u~+J;FbobsdVp>pQfoovZlf1RL;xxzUGVYt=KylSc6^ z!`4=wLl$t%AJL`eUyf4!P=}nTPYZU+m!Ao56&(^! z#(ALozzik=orCXSCCw=IE&Y8gO&6!b6;jF(V~-`cHErDXe!D{1zBBa2 zfSmyZo}YjYUW{&Y*0nujZxfv=-{bMj6QpYWiQ)f#ACpVRhgActuo%BxEVV$Oo|rF>$_twhr>EcmdEH|9=q>$iuG66gciN@xGi zGryKJK6sw$f^`I|3RlXzuq{wN+C$$Ad%#p1V+yMeXzxi+Vo5Ua*hMCJW^Xpw+_Dqs z-arUikafxEn`Bf|1}@1 zVdQm-I}5+wX@mGJ4jUb;ykn_2Gg&>zfz=M3LXZDg#P_3ui(}fh6dhBr<}>7;TNBuX zO8_K6pz&SgYe!i?4NHjsW(NsE>f zZ*rb?=v4Tp_5m(m10l(5#@^KX2=j%pfC97jBFKo}~8PX{Pp z5%ethu$H|2?fgb(-XblP(-Smf!z<95(RqeKb{YlvydXK%rLN zQH$*1I;e_o&!j_tvaUzXwvliVD6>GDI(i0g6T5=dvNKycjmhe@0d}I@H2^9Si(+2( zM$8&B$4`qFR(pZ#QElSZ)~C9m4LDCG`jO0ECg^rM7X>7Q!GhBAGS7x!>1Q&1!QnYL zhVdECkpMn8Zti}dx%Kv(nnf5rhTnj?nMSgzBxr~%(!qo=By+Xrk(0JEnaMh{9BBFe zAfpfgxd&yR0_L9!wW1sjw9}#=U4K}q43P{WrxEc2b!G?5~WjewjLu~^pzjC8Jvi^FkJ&8O6f>(&B zjt4r)|FAk{ByH;GuxjXgTF5iYX24M4R(g&NM(S&#&?UN^1*H@@0r1&bP6^=-+oS*9 zM6=7A#ae2v)i?;J&OR?qctf{|E<*+#!`i5IC?bCUHE}SIXH+#MP#lOz)qb%#&Vdyh zyGj(PNRrw!H(xbQ3BFL@cATWl1`@NtG*jlXs<+wZ{nCMSPjRx+8i>v4YKr#+TQ_xa zXBv@?rk{mxO0^&}xti^3{~5~@y`SD{)~poE*JCmdppN^R!Ukjm$Ki*a)ZzTqP1Ldu zS_F7g!nULP#GrM^*wBuX;E7_})=5DNx&^km9%!tm(*NP^y`q}>g8xxF3W$pID!qer z>C!t$69EHC?@UpkX7Abi%%1to>^XrxC~CH!*3oADxg5V@q1aY_`a{Ruh2_c92-b9~YAs81w;d@O z&9#=qQ?S#z<&*NU^qd2wd-1FbnzMw{i6ZGMxe7qE>Wq4!B;d74I*d)IbFxYBU`#Bm zAK+PjHvEFaHms1L31decup{sKIjsuF!#{WZkh7-jLK-SPb>2uTfsyT>)Lf&bDzODkW-!2$ru9;3cre#9EVI*IuLL;+J~?t@Fsi^SWKAt@)Ubd41Z{r&UtMzxUD2 zmQx^ENLW~$Y#ImI=kf^iHSIuSst!zxEDGws!LyY}kn5nr^k{K{uwIZQR z10sEglE5m;Yzao!+p`X|uidkceUraM=efBBtU3m;S}=KiQ1(?@k#u`R+(=jA&TQ7P z&stcY!e>BhoJj2abXD3z$Ii}XItFES-l!mz&QM-Ig5Aw^sn+6f(eE5AFEQ?v}DQ0K0GcXRX6yHWQ}!uu70TK zJ7^<%LRCY@z|19N5WD`v+-WCId+jcir4HT6sM?peDBOKVsoatDo0THDeAPJRo-*;MwMyE zN>ao;m5s5~!Twkiyn*4{P+})saM*7nbXm;M0KV{{8RC-f@JsoR5A42#jfQ6?eqErU z^$fbvTC?H@%ifV^7&W#z$alB?iIM{WCoc*UX2oGkT1RT-`ngJw9xYq{(oZ9p`i6lR z>vI)%LR%}cy0>#a8`7s{zi|uTA>E@ycR%j1WfAL??>;hNg176Rw}3*NjXxnrv1(bT zE&Cp|OK;psb+auLNNmsAea_LMRwkzy69X(AwUy;3AWWMX({k~6?Fp?&dK?08rIs;^ zj0ZoP4N zUwsh2s#DpXqMa>RByKKCq1L-6>!-omv5BkHrx9p;(Itvtoi2TH&PzOd<|LEugUPsK zXtm}0reVR4)anN+zC_jT8)oRm4`=SRz2B&=Q<7CZCBvq~c2fft*MhmjV%{c`o;?e% zQqz&&2^b^{&se5JPSz{!NeQUe=5-kfq#sXmj=Oa2=SY@ZdZr(J1fXy;JNTn92_Y`y zhpv+1<}v<1dmcb2ZdwgjQ#VUP3;~7*J9O=AlY$*qaQf6Mylv4^D~fI4R>?>bS(g2a zY3{wfg}7z@p5$1R}ft67oP**o>|&b4Wz3Xp2H^&Nk~ zjyJ4nRI8p&>3)P0E7;q|iC(M^ z80e71WKZYi8Yk+pDo@k17_L!c=13O$*=vWBBx0Pa-^ap&Ak|0gWitn~QOl$ecdIj6 zWirF7L*2YM3XPba>I@3$eTKOYA5?EiFzh=bd&<@0M>Z3@U~?%`U##8zeFNTQ8z5YA zbXzm7P0$a^51zh7yFfiZpk;SbJSPQP7T-zMC=)H--wR)UHaYWSr^{umk0-!ZH5qF? z1fEy@;sExwoqH`_dxVhDJ*zZJzDzufrv&xXa&HDaC~~KH0}sAfjhFDD72fO#+WhT( zw5O(?EuOwQui&90Guh@0ez9mfN+$iI`rxv^kG75{w(4NP{~V9&3!CJ`T+N~ z`RBLHXjMRJUPU}vIv-gz6^%V?FWB^Q3B;vH6GA?m>7{FX`FIr9iECYvzmvp-WWiG4 zMjS-CwVmVu&+wj;+g*BX^6odgsye%|i$I zaJm*&>wtTcK%06%t!vrdgveWXCmcIr z|B6z@o~-#XKkdehw)s@aCjOkF)O~}pDOXJVbZ2w6jTEwwO!DIOp(SIn(ts=KC^E-a9RE1lkL)BWou6_1A;6pQw-fq~y$Cne3}}M;mSu_?o=6@WLyd7v0jSGaHX{+pAOTHK=wyo(dXhrZ ze4dyd%Ld|Y$(I!P0=BmLNXVtU)_@cf;;+4HgH@91IdYk%N`97YfSL2voo1rx5~44N z%|Ezvx#|h&X^O5Ghmrc%7WY<_KSAg0NyaVT6mg_Mrwe8`J8p~Y?ALsZ3iv&9=;))y z-HJ7srSzRM8Z{r%mMTZ(!>abn$4lMY2?Esn-9ua&?i;TCbQ8}^vg4AR$te091NMF< zwZbv(|M?rzy^imYOl@tl;U^)yJp+Fz&Psk1neT4JIx$YZ24vFze2Z7UExcnJVbv}^ zH#p%SnpiPrv{>wH_h~Y&kgeMMyq;KGmsX-w_x=0!id>7txq~-&yvXXvw=^&cb_yxQ z7z5sG`J^kLygN_?1fF@ zi5~vj?D88&6B*65pL3Q_<1Dmvy37nUzB(6j;LuBfZ@$1z+PrONEGbiSm0!w2cFU^B zD8BJ0oPnkCA^2<`#T`nG+N9X=N#244fBOqRK$+3qo_v>0Yrd|@TLVu7lxe85rP%?T zWr$U2?MO^&PHJ#!`OSd3n88|AskYzVlnCxq3h%jbGcQ!pEh~GyHFgOUtHVr?TfZ&k zEVgvz-AmUMc8|c_zZXt~(eK)K&aR;zUMKtv1Sn5aYAcsg;Ri*fkptO{L*IJy$KFYn zAR8#ZYe_iEQ{JOy+V~L7I&tPN+BnC*!P{3;a@vaR$$;JrZ|r-o!@`){*Yxk5Z=DXEa_g z`x%M%-IJIk@U4_hn9p(b(pIyxu8!qUqfn{Jfe3u6p;1y)u3)peS~iJR>TMovQ5@r! ziYpziYC&W2Dx&Bnpb9`a1|f2aQZ z|NVaTe}(V$|5rJB(f{3Y^nYC|zEh|ikgBGj?mW-)EV>vXI=swv{B(FI(#Ui#`dF;8 zSl3wCed3O@RlqMay5#Bq=eqs>$21IfYkFH=E@W(_VL)kA0x#dFt!xS4<1z5OrYo%l z3hs)|=RVqKFX4<9oYz&uu>BkNOC7^Uy5@#(s^3S%W(@MHd*-jcz&Tw5Tu~u6|6R`u z**tQT%zc|7A-twO1u{Dp(<2Lk=>2z%wfLYT+n7>(Im$3&o4kt(%Y5g?`{tR`*Wa$7 z0crgCS?j(>w)bR16kF+k1Ay zcp`NLjn0Jlvlpl{3`e;cCZVCOpc(D>?JIRDV!J*pePPaQX?X z%7ofMXF5%6`FP3zhhf{_kSPle#gw?{Dca_rMFtW)nyq9Y<$fCNXG5TmuoPmIyL{;r#hEf4DtEITqKoBU2y$CsTCeu!Mp^j-e(~j zkeBp_+I^d3cO!dkcQN3m%M)Za@s_5_NB%*6;KbTm2}CL@zuGR9|Eu)l8ZPVd3+9$x z9H-Kp9~3mXXpdt1rQ;}HkKroZJ!MdvU`(}g{mg0$$dE3pz zLfTV#t$t>6?RAslekM(6 zK#pob-~cGp2?Zwqo$#jhD!<>!@%fBH4`rrC%k|kq#Si;*V8ZV_$vJaN(o=clQ-^MC7d2##w=O zlQosYl!afp6{6}mCJy6LJsaaGDfi~&H&bM7?*YQAF9YvHzfL8H+A<=< z&-2=jo-)`~3|*3M{ZT{Y+RycJFHnRVKa4D_kJ9)jIh>zVT_LxTt>b+0pmrMZx9wS! zNR0P+1l!(H;}o;GC}+-qbvEC>P87ycPE@}+HSxld8gOGB1KGBC$Wb}M!`1T5=C7=a zsYUhx8JL~m&oB957WVo!DuSr3I4UDObz_ntTRWTy_d%#z_vT$?<6E1tz_T>>1F_@$ zZm!tvL49ddc5ZlcBZG3?!>+fXL2JvI+J@hxrh*{Fd3^P!`l0}L&So&jij_*F+0ppv z&ZW$bFk8~PZ<~fOS#a&(wqElqQD$>4ds-K#`G1}G=r1LVOIP>G3-LR(X2wQ-e$|~h zaBl$Iu63)3=dKG!9Vn<5QTSN-5Em@6%-Ik~5$e^ktHJu3iD1YhED0wfC$O0ESAXX!Y@=G?!KqxsQ!JdYE=74jZVGJ;` zNMQNK_nXd*>^%{Pr(**-JXc0<``9iiVp`gH7ezlezOIueHT<^_$uP*l;n%&1@R!G_ zNT-AscT|PXb7p`2=(3LSj>)^@XsH_h7g#CNaYw_|y@g9^x_QuHr$74Y#`Mw53u5+A zt|v7l$toX>GyW|<9)D>2NlV4jHA&Ur3TfH7$q2H94Uw9YCUByCY#o7!shX;lI-*>h z3PklKPhG;|rkwwWOezT{WstRCcXyF3zNLugu{53ai&TDF7@-a=m*pv)xH8G*n>*X6DKj)9{b6<{@u@ymyjE^1m`w z?(Yu;q-eT@cB1*E!{!mGQJk+#9z@$d^p(+n-7R1x5|2t81d$VHAd0#8Qh4`00#V!= z8f<_-$AvHpA~7c^g~Nu^4IQoNPv-wPzXoqOpHqA9HAC-Xs_$ce#v9V$8=YRZGQaYz z!esoLFVl5&T-`oYi!E0?N#@y9vQ4FXMGB<#i2+>)O|0j>0CfyQxbYp*@d4XH>ywuQ z4IPLX%ErQN3&yp$6wp|!3Y+-sLbvS3UZL(8$Cc&awjnvyX==P7ZT58z{UUjwQoWcw zBa;5EeFRwUmm1_%u{JLYBy&Y2|IgZi30|;M*5MDVeNe8iU%7PX0S5N2>VL+cv57Wv zX88TeM)*R}4tn+`uiUrq@Os|w`k?U6+4cPCxhA?X>O9xPk1RwDMET8bE?|P=Evf&T z#um~0*2kb=olsrjEf!nCh_$KKjic8?% z3`t}7{TnK_>v_@K^Z5$%QX?e$Vwsz(3p+R*-;sYY$vh=ds+v#cyN~NkC%gGV`$nIX z8h8f|$FlDczWxp#70EXdE@C&UGqQe&Kv$i6>?ypd#trf{RPim+IhULu)6~mr#pgr!M{nK>c zyIhf46@@`(!!y{5T%W$-j!gekymg>H1v7nZ&hd2Nw=U3zyT?`|hsBkN(Ev+Z*T~z= z&zuu+2dd{@oy<-VlviK6HQ6I?#m!(%^SlEI%E$fRSzzS3T&EaZW~aRPeZ`N3Vzi9m z9$yw@(q)!1*TP$6;!bdtf%oErr~i#Fu)}k$`a!90V|?M@DMz^X-}99BVezMCyYh@T{aRj7 zD`ngKqR*}!2x~Wbz)F0ZBB1K&{gedcidBL85UF0Ra9RVC`991B%_O2=c0Qxoylg!- zOTaLQ*j%t`IQrSIeJbl})J$wq_S^nKo9bTc6kl+XtU;TEzIbtP>jCoT^!t+EJ(>$O z&i?1OS6+AX?0rQR!WwRUD4@V z@h&bSxd|+1)1Y?wYWg5DsuM9-;CH6h?7f)R8XtDAJz_`Oi%7Yl=V+9ztt<(-Wc5)t zH)YiAK4;R~n;#PdJZtukaV36Yzc0y=ps3g-bWfD;;>TYT--PDk8s_r4YDj-VqX-ak zYPo6ZXR&d2v5fw6x&rjEkn}h;RdK2iXSd(MzJ zZZSzpnw=vo(|mrE!uWWOh7dbnczJ`vhxYuUywlGcT0S0lwv;i5w4(#qKssgPCR_x2 zxW$#NnQh5jMo6yU6Q5ld{Zmhw33{xP_F3$s;JJ8(kMv`R@U$iiD4k^8o3&=l4r(Qt z%&+AcKqhb@<0&f_PPy}?;1Lp=xL5A*99v>tymP|24qHl{$#J_M{LK6htPJ~LDY0`r ze#Xki=m$b`FaHSG%~zN~VzdQ5HQI2m@-=0Fy%V<%A04g?zgn|!wb2Y?nr@=s0-`eS zA;~3a5~dVhel29CY5radSE9K*Pfm4`(%*=>(|03w$oK3F+KVbUxfY9YGcbSXK;@76 z>$E@U;#bXF9_=!tk5pRYRmr@*Nr7akMLF78s|93;9-jYv+c13Ou+^N|rrUI((prBx z=Mfgqzv~8UbR1kKo?MWh(KykhA#n6SVx0L&KYQ-zntS)4xz^d^bwvp_`DB@|tFU%W ziy#XWc?!v10p4k*(5_0f_Sin=IvAX$*c#u~e5v>G(+Ip&o0IamvceiEvnX04|3~?I zX%X1>y55E7>Yc2y???SvXeNuz)MEjcc268y*Ea|X_22Tf$hnII1p^+?fa;&e2Vq=~ zSTorC&S_BXu}?UXZWvuIkLp+(86W9}q=q+CB?vgy;1`%mv-iv6o^bEp1}O2qUlFc7)ma3FZ zgaRt^nfZ@;zh4iTbv2}xZwKS-lj*Cr?=?CQEuBu^g#TV4nyt8ff*&2#J$1wP)AhIg zK`TEN_$x@yar^n!?J^HD?D>M+V)oxbn)b^l_s4ws{92Mp{-AXoiLTZBg^-{-d!!6g zE1cAy-ZQFgso~iCF;X0tSi}SkdWQ@49)@e9O%r%u6T67^kja!w6=MBE_X04_M%mbcb;>Ke09o#4N&<&5pn_1thw zKqJ1p8?eSUIy@9MSz1h6YhMM~r92TZZzowqr-Rb~h4*>HGGP4~hu6z#LpLkcATWl? z<&?anL@2rz5gms2M}G3&J8Re!x|TO9C}C8m)RKhIsQI^Xm_IYB8+*HJXyTvE!%)IB&|V|C)WitZVAc;>Z(?$Pu%of14_>`OLvmGzXgzBOGq zOdjk!HIx3{s(1do_v~2%=GJx0yJIQ7|1}5-gY7(u&im;|Cr29WtzQz0ZMnspM`vdl zDQ!-Eh^b4YRb*O~1)u@B&7l6Q6Q9A9@@p4Eb)M)oMWkPr+#NRmc^{ST8p|_-C~V( z+5F%vlCsi5iqC}zSSMmfZJ9qY|7Nl&u0I7Laq~h^`ePX6<`$z1y%p_a)`PrppBo0d zP*roaw2g2;#zx43Y1NI~JsdNqjLqnimfe>Rst(_MTLQr}o~wXrs9<|Dn?@Io{@ijS zjG0qks8Gd{1y+zJ`zu=pbrZ&h0>Cp#7W>MIIa?~6<*IedJ1Uof#wH2pp8e_MZk&CX zwsEtXD&z*H`smZ2atYKb3!r5eL+C0|Z@+Cn3;pg;qt23aXV0{8lA@<_lQM3JWaFB#>`Dg!iG*?FW;+LA+xCI=MS) zvWDfvb5DU`JRgPmi!P4ORnDq$b(Wc&xLIp|-`h4o^_F2}xpYN3HS57koU`>7%~O?D z>C3qma64vaKg2JZLiQmNL^x~3IAibni=*R~Vb;g5$ANDi%xOW}AUE_|oNDH0l3Toe z&Ki!l6g+5X31|NJ`#D->>%_bdQfsx((h0byBm5$bt@gty;TA1; zoZ|CL$b&fh0I3&nfXuQUzbkC`oa2F@p4A)=Ht_|aKO-|}K6U!Hj=M{D4F*%>wd~SO zG*JUO_hgf)Ggi%1=tdBs-X`OB>x^*Er>KflyHqB_syhjOcWIFEOI0ITPR)KTA`hRL zC&F-Zh(XGo??@dBR8JDHSMw6~R<3ZDZ)+e;%$%>^HNYE0*ptU3-I^nUx`NDws3^)aFftsaBf*~GI zvK8bcLm2(acJ~tjm3Ge!^i(zD<<#F)RlpG0`Z#czd$w0mF8iYDfr`DEGQ17>wO^8c zwcNEPM%oE6X8ZQ9bl839F^=Rk}F3-vo+hZH*yPA}~q zhJaeNMHmW~Y>=#Tv3?&YXxlfiyoX|ZUtK7*7ln!9&Vq^NUa5iOdx z+uc#b&23<`+8lQG?fvdjYBDX8O8__nF@!0$E`a8*elsuR{aC*QujB?OB8l7P62PNf z^*f~A6|VKfzXZ z&^yO1Ng&_l{;NbF}zA4{0|4hCzS9DiR3l&k41~#wqn#=C`Cv{k z8-_)Gi%;e&TWIZk2WpX*syQB=hzf<)W%mTG;S|GNlYCy2WBJ=GqIo>8HoyV3}g5~7<`^%VzfqAgqIo7Ba-+GHdbC!?je$65xx9m=9ZcSqcJk5H1d$m zEsk3LZg1vUhR}*B<(|cY)1|dnZ||WFco57kQOub2x7Z&^cQDltLz47NN_oUdgVvSM z>a$XP7TE%X?h6@wVVSVP+{1^lT+@HQVxI^|w(sxZ6b+-BIRxJl$f0R4)iE^_#<5Ya zBMs@iGMf}KG+8jLS7k$z((ed3iPAQvoVRXH;@4bcWhWF`*Dv%fa*m1@db{%=@`OQP z>ZUW>v7yI3Z32&{~Ew1Bhu<5#GK*y2jv zrklNWbByIk?0q>ql;6Qyjm^NgfZQo)X!2d zCkV)!;ikT{Op8mCK(kG(ap>bOnNT&2Yqw^1VL&N3j33_+DCtu`gXEPt2~W?Q#Lae^WMz+0$+2vROwti}5$ulhB`d%q=;;6`5u6@8YQQ z9eXk3)&q&ehUO5_!N?Uuk99|;N9w_P4pI?Yh`CBQdv_F3v0;XF6?GtZlqiPfPrjic z7z{>Ly?oMTSe_vk;b0u$*R`w0E~I3a)&4G!SFySBmBKgJ#wYM7$t~ONo}YLE7rl3L z?`g6-ne-hBA-H*%zE3+wdBFN6$|i*L0nhqfOb*L@9*eoEs<9q*(gd*)1aglDbzAes8q3#zm2@C>ZWzgK^v(HqpU+@5r<|GmTWle?PbUeV zgCIsSO6@6{%wBt+6*9}4L{QpVq9=I&SI6lx%RD4FDTfs1c0D?qKo$$g2#5U_{b@SP zFA?fD?0fnO=!jtrflkCu=zCAil{+(kt=%3x%?=s2p4&Wo10{4*8aG>zOQ8`H6KGsIv|Q}>2h#fyq)7y+Aw5@+@Oxbz?$r!a8b z4X|);a5O#N6ddx&Oe&{v}=-Iz+P==>HisZ6+1c&Y7T2$@wu=&YYb6V|f zqKTZRF$FVi0jQ^d?PbR~j;Jm#9A6$J=+Vy!D&#%E2aVw)m_9_kQwh3-s=f?&r)QAs3*le`|E)ahB*R?-K+LD=!z(J>SyJ&CNx5Y_97U~*cu{*5s?PSzpC?|e^fkGdshPJ!phHYGuTT13^vd28UlpH%etL(lBC$yo)@ zyw^z{c5wRXLXN(HL`Y}rOP8i8n^Vkr3uMnbo}Yq@x2gtaQaF+F7j5)j@_x?jOAXTZ zWfE*9&grTB)WuAUk~y^x4qHXn^nLexKC|0|4plfFt1gou>3@{fh+;8T8l7K$*{5&v zq}a^`I!xv;Pny@DYz}TUD2uBtP2a!@$s0Hlx}Uozxw1g-VMyFhCH=p7iKbc?+C-;D z$ZA3Hr6vvEGE*U)cbGsL2Ku$UC$xJ)^5&w;-dcdfC=U8=fQ!sDr%9bR;2rgfbU+{$ z<>k{u{VbsHsH%iAbA6o1s0gP`h@_vMkg2;&;+c1@P3ibr`m^3CYdENhQxsQ>w;F+s z(Q_N9Q^v)32j+nj;y|~u&51BMTrT2%P7!G%>Ji5~>w*uy;QjN&Tq+@*LoZt^g?x2- zi0;TtuA4c|JE#s8EHV}bfM2r#Y~x}0*?<_ z5A9}%sQDU=MI6XR^9h=UO}kCxa?{PzQxT4AopSyB?_RmX7d6z_6Cxk zboXNu@#(#WFDfx}3%z*s<8H8fd?QxsO^~>3WcRvNWDHDQC}^@C z+lf%r2<>xho6xA86A5}f&*UHUs7&a_*F-$XDPGGJd08|c%e`-lQV!%DFXp(5Az@yh zr72S#wl&xW%<%qAQn6dC z4LKNKgSG)cj1!DwN;NnRoBJb<{cQ4ifgXuL?W6cWB!zSLFT;u;#=jl{QPoAxKWO>e zGn)i9zAht+djixRFdV`m`N4O7kfFxgw;q`~H|i0N$<%z9EJZaxT1kp1Py z7hZPiMedE{kklJRmK7^jY)X~2t?^(}mVXeXOIFq->5-DtMKl5RW^AZTygBIIVv zKCS=arVA`Dkpn#bHRBfX^c&gTS0U^boJT42jt4QBLzp6wT%Y%lde1$#U8kkcl8Gu4 zM@)mW`GTON89>K7P&?WFimGf+^~<B_l(cgb1d~W4AoBNNbaUhmO|5K~=@x|OP z1frStr(!7AF%Fn7b7H0j6(6#7jVfMdcR=48T1W_4Q=|x-f;86hE_U|GsD$?vc6mBy zeHM?Y^8CEgmOqc!egcO%$jZru{lWP+AB*M-9VvSdu7kKu>qf%bWPLf6P*ppu=C@!j zJ7_6Q-hj-SBGxaCy?@Y5PN6VoFooqXHN^nstXG+Rl?3A?w)n|;F+ zkjcco$RQHSxQqLGTQ*Wb{YRIYDRLwntXt##P~uVTmqSHb4M{^4QGok!}rIv>r-BEd%hP>Jr9!edq`aaQHUMmawQcLUcoh_%v)jL*`YrF zu)~-(Sc~pOlo(IqGjE#wx>sMNbem}zjHxh0%B1OB_1T#@1JAIh`uRen_>!opUxz(E z=q!hj4UO&`@E4F_rTB0VEBN$ z^1!qjjbop>-?KAc6O3%@Up{JzU-;3g2@DY2+{rc(oiMmfiOJE_wu$t1U|}JQvWnjDZBYT$cKT>7oiy#7WzE$}fZ+YU=3< z1HGRVUGVh+=3uU-c}vV4J9J$1W!O->sdA)H#1Z|vh&~eY-J<_txz6=!IM;FCdZm}2 zl(RgeaFQ-$yLO^r4~Hdh$>uH=c34!7F;sUP0A2jN)Yw5sNr%=o@;*%)LINWk@3S5G zpa&QAgZlQk=40w>TQ0ZOVhnIjs=FJko=Lcnv{4Hq&q$za|QadCEo20Zmi7F=y zCrh;$ECqtYtWX;khrI~9f(l*G`$g&PPp&{gmYyY!KF;j*4!~1>m?M4F~Z* z=(?rNL!*a~xQ!*of!a#gIEhdQmiO(!CgYiitI-iq_yozTF7};PM3G@pZ4mCV1n2y`)b@NvM|>Mj%Q`} zgYrlIW=_eM%Od7_h5D#;W(yo4LknlPfoqIAKhNDf!HbmApBIs|P6X+-NTv9frE|JP z8HVC+F#)c}<8Q-*fmAhD_faFJPE6Q`T|o!^_mhUJp8p{LFwBO+8%UX_%C51F_UPBG&U&vk>V0|qGgYVsMZ8|qyayT1NWh@fWH+=9mwI;p^a?*>+{AeGBM6NcTzIdVJz39cZC z{h&hKnjTvJkRRvZajb4C?%)TY1-9^|clSOkH!o-ELJ|&hApJ+y>{t=fEnnM5vP2@7(Fnn-x+gZHmIcEgV%)fFAO52rg64JPiOG z#iab>$`7J#F=QHT{HJJPz2()?+ijQR`jsM9h!dByVh7e?`+@ANc=t|#L#v@`Zblba zd+L;oH|kOBR7~c4Me$a9%EVZog!a4qEq4Kc>)lz}NZo)&pYzF?_A_uRA{T+$(xsgiizlYW~Z_ zqk6%a@#u-lS%b$pS-X6D@+n@ZqU23;z1uBJ4)L(T8&y2caZ|bZ-JkE_;;>{yHCiWk z0F!4t;CHTm?3`Z==Pc6Xq20yxzq;Co{(41S^|3YhB9IvVD&v&UrZ7g)W*I!jPG>-uqT+SCwST})ebqslk6ov;P1Gd5r6j&+MvLX zxk4hx*f0~T@4e8k#5l8`SkOgmPQQCXR8@o8J@pkoP{2Dt*OU;$@yka6PDWFGRDh6I{lqAZHCAW-I z&&sO(M^$(n@p9Iozgqc)sgrZ2w>aL-#yRg1r0 zhtU^$o<3M9wXK6`T})r-{|2v#u9#cSa{$YLJuKmyv_gIK>I-unjk`}o z2Y6h_xLIHpR@#uL%orfG=+0&z!9egQu&x%rdV0~IgIV$;pF0Re-(<$;Odx5R{$~?c zVy|CcAxRgUdFKk^1q$9Z&~=HBAY}xp59={TU(xpI&0{%~n$5v~!tHbPU%V@?cpUmp zZVGI6;%Q_}wxYv-40yK@O_xm$I}QPk@8eXjCn<68>?=a0cvrl^9KW#owml5(YajK{ zU{QP}%@?!q);-cquJ3gVFcA}l(rQa4E&K6D4X>|JhL(EIWKtG&957v-8bVasVjt@E z#ZxwP3cHfeNjeZECH>gWvW>Q(=FLZOWnRrcZ=N}bw2!X73oEkEAhvx~h-o;XUqQbz z8`fpXK*+g6nE zgr+jm28-U~d5VDzaKD-PkQebU>KRulR3_Pw)Tx#+uKy=)J^PtV`6H6;cB#Y~~vJ;`1-(Hd(ua{Nm@L?-*=JL_+Re7d?nIa(m`zYBMNF8ldz3{vk z=tbmCrv43|JAU2VLG~}uVZF{r?@_~0oan*=c!5n>mpJf&$rVCY4 zr#-51yfW>i?IgvBaluyfH4XfC06@IxCmWUKE<$d^Ln%FRB*$LC-9_98JO^tX_BlHuEHWSw=(~*=> zeF#V%H~QD*jlOS6wf;%a+)9!%13+?!>EAUw2dALEBMbPH}clZZ2q#IyM*mrVc?t@SGq%9#L?Rkokjy+5n=RsG9`CL zd$b^6qjhqgijtF`Owtt?27GHQ3Secjg_^G)A6fYLes&86``R zw-dDs9pX5ES0$xt$!l>TK@58+mCuWBs2~4@wO7ClMka3c7x>?_8B>jZc(UmAtwber zCK);`&jEn=lQUWP(7Z1L8y6?2_GDX#_adQXoY38#ogX#MmqmW#!wC|8Gz5Mv z_qvJbBEs3^;uTI=%_c-pY{_gUMZZh~G8Yklj2n?4AMl@YPC~5EKVUdeC~Sm6nF1^H zGQ9b<%&a+M<#n7I1+op~(%cR1{FknxUO`Sb(J9QaSy@?liZ@`tVx{ zb~(^$Y@GdWpafq!VFBot@HA6wflL*0vudG?B@Lk9XRt{F170YnT* zY^TvYWZi+NC~%q{#+HyHeV{YxZ{*+I1`j#M`%OhA2OQjnydX z*z5!U?S!sxKiJdE`wt4*jTX2AMrg%;@lYh7&!di=C>ivjwPo29=e)Z(Lh99Sw=d7- z>mVT6_B)U7o|e4R&r+fw+AAj>Ut3$N-gc$Dx9>S9&@ew9OW%vwR02pH!ZXOY( zL7m#i?auA^MYJxpP7~t>r=nkrTgGqZ;jy|Q9B{U`uP}i0Q&-=j<>ZXFfM1J7?XNlK zvNrSLD845ro|oaq1g4b-r@ZriH++*zyb4F-bQs1-PCToq=9^01(%U_yM#>P?qA@Ye z+)%(ia(!__=FF>Td+2~u9%-s*II2_67BEa;--VD9UlBO3CUK*XK*~^l-Igdb6{5Q7 z9DHRzwXgQKtlysSXvb-Vw1p>NIKfp(;_N(T-Z&7zZdI0#AJZF#?oz!9!599H6`X^w z0rrEj>!;O)w3EAxMbwz9-^-dF@YoOc?jU6Zk{P|iC4(UCnBvR_9da5+=T9ZrJ*2vM z#Fg9;tWg$UEm{t6CB$|_QpYC%V#eR-(uuGO>$k)n#7i1-bNAi7Wb)M3Q=>$=_FIGb;w7vtVsz{CjS7!+-~Yo>uHJ_j|Q| zbBV;mSI!T5A4plfCOp}mdMN%6zvsJg;xI{o$lT0Pee)1l=E9qA9k818<2wH5T%%ma z^lQQ0h_%?Ok3OSwVAY3G&!UpNym9jxt8?KqZs9+yXuAcbYA#6#7}p-1E@lI6mHuC} zouIVA_v6XMH=eIzuVl91rA0*8$Kl41_|H(oQ%#W9r9@(X`EZ@5ZzLhoU)=ghU-P5% z+TZ?gu3tA*{ORahnkM2km2B2=Y8E9HEv`dn6aCc=dOm?*%+oHe2h>QiwW8W4G1L+9 zZU*3BU4Cty{ufutB9Uk3>KkZuQFK*3lT@vD0(M2=0sk}!+dbTQA#!q2^t)8_krL56sIPeTB-pg-6-*2WJ&`y*;>}e{ui5 z^W%24_Siq@O=9DN3P-#1@m-v12i1i2X$CJhos_jE#e^j)1oEQWNm_}CV>R5O$bw)O zSE6-Bp&7Vm-1G@7N74q}DZ!)%1{4<%{${wF_w=$8cP=~jilga8^^7>Pe+Z1e3t{&y zb#3F|z@T}#AP_7^1KR9qjuUGwZ=QEW8Qu9B$*cck`$R;s0b;{%zQg2bF&rCdk#Erp zFrp(JYMz@&mO@^Bot$abrAhyLo66YMyFfzefu|xx|GQ!$Y&ZbC?)k={q`L)1Yr2S; zhuPwudh_AfcgZm%+9qNI*?~J-+WmK=wxWqCCP|h))aT26+Q_H$V)FMfr{_M@Y^|rX z7dO~8wX-FeygGV*rz11p%2;l@#>cy&ysG?P^4r3{qdhk&PA)D)LIk_i6&J;%A~W6# z6>&vouLRxtcg_35xw})v#*=$B!sU*W6_l93O}g|u|E{PO)^%!|(D*a$bz$Q#jYN&6 z0OWP$ze{;h3;mSJW=3)!MIRBh6>ILaw+4LVESJscr9xHR{zuHax_LMyv2muK83^Ba zS~L@c)J7KX@5qq_$O)Iy{{V3(R{YoQU)%rFKcDV+n3xFtRI?zv@e4?>zN~+pa;OX( zta{13QP7z6GUVxvR}lx1E&z1$KmR6dmdAX&RSf+26t+FPOip{_#-Fc~JxLGk3I8wd z-YcxBE@~GIU8yPp(p8$$BE1&{M7o9EdxwBPsG*2}3J8jTbUu;ZYp9`v^d>cg&}%{` z0Yc#9`~K(I=jNP!v+wp*k~P;_Gi$Cn#~fq4?---Y4j_JfadEK@k1c_K@`03uvAZ{6 zT3w^Y15pDk7YdIYsEIf(5N=Kz6-fId8O8=Uw2ONrPyX*Mes@gx2k5%HUt2| zxx8BtySqs3U~J{25h)-vwB42!ocq7t#;u74kNWh4A%_i#ziJ+r`VZP`=aL!E-@>b2V5hXU2bP z9A{={m_DFm_D##oz|Wb%-*dc&f1S*i%*|rbcM3AlRf8_U$zGb;W4n(|Yu0grt-0R2 zkGdZnCz3x!dRCmU<4%Bm=}F9*53lBZFEjVL)X$2c^3kAnbK$Wj%5DZ%MC~!U{k~)d zQ@*L)B_>QXqO$rN@Hp7)`o7r%vz#x_R1P4lxPr z^PEk*E-jJU#y>Gaa!5`wKcx~VOE~#jp>Q2xcKv2-Euw2_mm8{t?r=r?Cu&V~;dG+bBR;$m?y?6PP)D zl17{9N=dSZoDJtjo$IfLnhUY$zMG304%fpK%JdzFpfWjkjh@cEGf;e;5B;4rsp0qp zc^xr->MY)r4&sJV@mWW~O%KB!+zBV_e4@!%iUB(`YdMxT$rpQx+1i9S-~#FmD|(>8 zN+*7oyZwV&h_-uQ)1lU44K5jJUQZEgGv+Kl5(OnMujYP~o36p(MM5T@L7cd`ix6Q> zU@iU8vaAjQtyysZ1>GCJoBDsn55}aC*!Jc7v8~MDc9^_w9 zMSbeNuU(_zjNwgLV5+nQZma0p?L6h4sVsk2xVL;hJZXoR&!aT^)(3^cV9++pR7i#t zKkyLLX3?|y8@vRfYOS>A&|ZYXhrZTM+Dh*UPTe*ZJw`84WplJ7)u)*}N>{{*TyC9X zHgxhaWinsSEHWgMn*=dvI)ad%ZPROQkjG#4!4RVEwW18tBJ!U@S|oUEEneoD_?axm zP~)$B7_`p8PIv8J$~0zMJ$rWtl|c%_qtPQf??(nh3M>5RG$JgUV@*nZ?gy6z->v(U zI2<`}33ij){UBGLzI{qwfeLBCLFtu#l#L7{OgBcG2@#L`Hw+=TF9pXdWy)UXI#7wo{uDyrj{!cm5Kt&~DuG+8X7zv$?b#0TlD0_FpioMqh&1tQzAu7#>H~iXK zFi&Khv#9tI5NOvpG93spzUR_jKqu1#^WTXe8)6CZsTU;{@<#9m8gvoOFF@&H)t_hE zPe_ezcOYgjOw^aO?I1pQ{?fjkXD~!h5q_&CD~NA!0-BSlz+~44G|4b|wn<*WvJ5wp zWZ)aOSY`kTSBKyRfq7gC`#2DAAY z=K$WhztFJLEjvX&GAiAXpB;m5#FAS_2OPy#@F^40k6=LI>jyA|tF;-{F6|N=Eb^rP z0$hq0Ln?L+7QCHLVz>s))fEr(RDk>wdefHFn~p+)ht0IY#d=RGw=+-gmeSIjufiiK zPIq!FXO`b>_K+KQ7kEs6#lx-14rld#(BtFSOKUqbqcaF;qQAwO8DtL6+@=>jLxXX{ z<52i*g3RVB^WX< ze=YzgNV5vR*sNp72P?Y*zA?nZluzH#?cNP>I*y7m(IEc@2KSa;#dk;!S(B^;5GTz9 zVM}o52NRdt^+LnKY^FXIUe8JD_I-vXoNt&tYxABA`m$A#P>E8>l-T=yg!Uv|s43D7 zFP|TUT3tS5W?)aRjr0@PbEYd!iVD1g+#exk;fYU3)rPcW?TL1ugM(MSxgSy@VKY#; z%Nsnh3WN-O&lmMEq-Eu^&Yu3e2Qntrla%xA1pXkDx3ljpGq;RCx-ojM1@veDagI)Sxr-^@A;2&mohkm`1*T zh8H3k^E-pb5*g}*0hW@dXt3g(Gg2O>c~3EVWnVmvf*y;Wnb6Y9Gm{8X9us|kir#nW zdK_ad%;AHGD|@F7TZN}eCfg`E9^xjJAi)8Gr!z1_cHTAizVD5h@DO#=-AD2LmN>I? zRmeu#kWXrFo_GM3?F$mZ;&YHoiv1nw2)ja>zx)%;LWcWT;6ca|6*lyR@xj6A_rNMo zl=16AJ8#;dL%$&~5TSq9lC|~(jnIns*0e))&-63u@AZf;*NDv4)|eY+b+h5GD3MFl z@%9ycj_BiKv_)?d+Wv9pf1{Cc4(6ll*skn%R-@Os6c0+-^T*W7A% zWP2Cz0LY(38`+tFU5=7{S_6yOyHa8t9fGY?Dn1OyBOh4N<)sK;V(vrn?sspIuvZgC zNeJcf0V^xXrf;br&JQ=}f!z-Ow(aRloZXb2XM6bj@{C`uAxa_&%N0lHA#n`7$vI}J zLhgtpjG-B=5cDo>h!KXEm!@aoqlYr!oBJnm(gD-=9rG4%(a%|o1W>rK?krbGx6%=) zCw}a`Rh-DFR;J8~*@Ib-p)8Iie0)m^yVSc|TTW%fX&tu>Grf0x8)Ipk_l(eCvUFyD^wgR4 z5ZceDb`{%q-YRy`v5rE`0#}5K3z@Dh1|;*MZ=hW@D_OKVa86&YKhM68?l8oT|IN}2 zY0)yl+|;wq;C7~tzPVjWN)dv6tT^sb#)1--;jv5w_}^s|(w{(K;}?gHzMp$aVSH@x z$$POK+O>29&sIBbtGc$$d?xi|HP0ZMqa(nhtejs;(PQ^A)`P^GNZ0HVTv{JH3RN=c zshpZkX=g}}0Oy7F;g9ndLeP~t#3h$sg}os2q{H1$j?h~At)bBP*X8t1l$E&6glB8t zmY@kdHlu%`dLNe*5Qr4QYLfeuE2{-T(x;*LE+w zx2(=zyXwCU1`3m2flY(y~RYwS(->7xpin zSm~%z1bsG#1RF$sB*}LZtE~tb4Rl>kGMUl81jLzav^o$b2`}z#_h`I=M~)uv$C8}f zXTVZLdskbc{m(CeH$A#*Y+xHL*~DKtcAyHk)U_mub9DoZ%5*8V6J0?>I~pDMuw3ju z>B)d`nup{FpWRvadPJsP7`dlSAK!|Ts^jJ|T<2V^z)g&c`Bi4e?EGvv2+Ai;JlJIE z|9(Rl(jphjajtO}d7ZJOrl&gS@vPG!$~C6v*W$IjlPY!aWVzB2-W8s z2!63l*y!AY-KDx@p<+{dtMKlIXL3%ku@?EetYUqHH8MxvRk8(d6Njw&>n*CCa@K@B zE`wL&>cXF8Cn~P5>u&ZRLThMX5KuhmGRxS1?t{=4JhG;jwKoEpMNG2E`t-fkZe%L_cA>_MBX6HM&d*WQtYypS5N$({Ux%52Q8ki%k9(W6 z)}r!eph{l!k0gDFe_2j0(4ktzpSGJ$>`9$=DE5rpZe2pUIv;ut8g}kz&WXS;Fa<7U zlJX7D-KQ%<{DU0Ay!2LXZg0u=2Nsicr!h?C5dO$MTu)aZi{_l61#^#A@?ElM-s4IZd3ofU$BiDue+*cR=A;E2^U1 zTg}<^4wKjX0waxF8vTN{5r2ooRQUj$%t&5bLa}>lUzAeH0$ekawMi&?`a>gv}nd9Cizi1 zusZwOZK?fH8PzfJ9a^5LJ*oluIf6$Tw<&?q7}Bed$)6?Vgapg}1SvJO7pMhGT{dXG+fhGvV`Xlwx&L401ZWN|ifLUWiA;DItg!KpA8pW|K4*qiMbA07# zV~I)OeLs_wx74X+Aa-G##obPNGdNbnOO)ItGDEpVS$e}ExqZOvKgC#Usu z{i^x9diFvKl|sakp}Tx(XbOJ&$Px}Dhxgi55;X8k!6!p==TzuX+v&f1{apxd96c7? z2X#}MDaEgf=^@yS-w2PH7Emh@a-3nx&h2+b_Ek0$G9D?l<#w7un>@RmFjJJzV#^^d z3etUhlI4|<9bJS;dVF(#Vyp}yGL@n~UvCY3V3*^o`^H>)02Kcl2-P8k(ze7te8j3x zU>cPci)&?kNv^buEm-YaZfpIklQC#+dja;3mb4#Un1m_?kLGJhV)$)-M+{h!n~KLP z?F|<+LH-Q5u*M!h93pd)sXRYm5QAhRF#S(sGla33H)VLVlf>GZ@a(7d{pAmeJz{(H&XK!= ziH|3?hfz=T0Y?4@TM`dyLhD^X}kM*jITkRTDg?;*p zgPu-~Hv;4z<}d;Z?6TN&4`7q=v+XlEQHrDH`De^Ul#X`~j!+C-Iug;(*DRL*^R66 zDjy{%f@g)6$fw|UX4MyGvkuf+rr~0JZE_i#Ty@ZVe505c)lBECRDcxgmf&og;3q0; zA{T;vWa5Uyg^Wn=;@7TLcA6uD55kOA6%raVtL3rYO>yjwB5R^=1D}~7_bpcGP;@aN zs-pqy_aoPtHoE8eS?2RnMKQN&m+Z~>+xDEM|i<1TZoK7 z(0}Ig2|7#Wl=0Y~o+f*KNiw5oPbM<54)Jr>vQzz$_P9d0fVu|N9y4dgpz%_S^xDqi z$^99r^U;7{+n{dYJXUjggU>E89#uN1VeU7`;$L0OER{B)^2>-+0`Y&RxzlE0MyyL% zYa9*v{6JrKJ-pd>%&~n0jLO^&6tD#wwU@1{FG-YTm>!QD5uaS~%oshFaXf71Kb#3T zuiyz|FuGp34sB16tg6Z#KZQZOGnfTVdhIGQ(0o_cWhSt;r%q1Qd#5$A58QGHYdCkx zcuIeflb!1RJi(;uT?&?7+7ee`gk3wh9{(6K`Deil`uL#KDvT-Wr~+}y+T7pw?Un9W zAku`jd}S#QYZr^VbFg|=CJ<7w8W@I)#JOG-{m`{r*|&J-OFyArrU^(D0V?Qq>ik9a znvDI)o8q`cui*XH^}cMddR#A^pZ5OD;be(6y|KoN-5Y_0pYegW*hB);krHw%cRr+AtA^l2<4rb@IcY7%2QvrTm1T$Mq0>w1 z;;$2&lpg#mpdW7OUt0cg6nqAnDiCD~E9@FrS9N^-huZw76WIp8}}mX-F;(Uqb|-dNe8~IO_cMI82wxCLIr=jJ5hrvuxN{E zX{B|bLKF;t>Y-(+^E9p@DNvzfuwXU2e1`@AC%l06&09?GfQXIMT!ynpjC-Lxt1{u9 z{9R92EwUUBiesC`vhZ6cCs{#ZK@Qe)yX5aiA@!s`)q;@M))#qiRG0D)z)0b?BeE%! zlIjyoSqRSM6;%^T%|++MT6h#g!e;h>pBKS)&-%Lz(e=B;P&fuP^#hX{i_hO12EgnI zqm()gL&WuFlH!9(4A(VcS#p~WAi!$IdM2mBy7n23to2aGc^|BboKF&NPOlO<{w5Uo zZ5YJ=vA+W&nC%cWIVp6AFy>sCrSZNG_sA&cpkSj=%Gi51UTNj~bDNdx?+#e*2j`nI zn==jv`g!!2(Banbq$K8VoRnbmEsp{Sc8m;vJzT?OnmHtZ;JGKqbh_U2x2K`UYos}K zY;26F)3iN(utwJ!^3I#JmKD-Qa7GN-KN!&OB?LEz9L!9_o4(;}u{7ueg*nES&&+T! zx~1=}y0;Okdmk7=-D`RkN`TLn*Rgv2g9Bo!2)!N&1q&xJm>8{fs<_V7wclvLB`psc zhwjhLebudgE0s{Gp1E)Tc!ES+r4@p$^jHv>m%;=5%Q?+LIXb($mpzB`)+^5#wc;%{ z45zVj)?%vsp;EQ`Om@G$!x75wA|&L&Ggv2$`$(<@F5$~+0WiLf?)Un)dG~;;_>1}7 zx76UaCw(=x|G`!N3!V5s{POYjte=5F-_Og*o9>PG-(Zgc8ll;r2*AV5;l;&Mh*}~u z7T4yIuAX3;;(%@c7ajrJ-PV3TTYFQaG2J$+X2E2@_s+0h4oyJD{Z)Mx35m{$x zgH6ZDKnSF^F0{^LHe@9;M>u^l1R6L-KY{O`q`qmn{*Fp%*B_uPgj^$%g~bm=T)x1R zP@Hq6JMxEnmGSx|6~qTvaLXB!{A3Hbdxwm$ z(a!B^j2Pg{t+n?ihpN8NdGl20H2+&U4arzHe1(Y-P>VC^_@C;QuLdO?ZTwpYOmi~W zE^2vz^4G?FXMA04>aQH#Q(f-S2d#revzuwVR#GYD1i(RF!|eW$@WVDx&iNtBB~R#9 zOl$1({eHz17_M;|+W7dzr$g0K`a`YkPpu&>SXWS(XKcIIncZY1DI^Q_qC)H|?@$wL zCN?sLI~l^;S0{RVu^q-PlvoZ+u@YUWhS-IQ@+Xj<~shgf^qbFMU6~#1I(O z=mepf8Uh&A7;nR3S9vCABo=lo14Qn(?=dK`Z-}^P2D3cxAwc#E(LFtK0A=Agq4EAK z$4p9+0M!#lzu-0&y9I0mZfD<$V6DfOi;$;Rmzs)w={-Y7ZkoKli{yYrI1b;$nba3} zDawcGeRQgU)E58w47M!^(^EB~MYNc;TeUpVb{Rf*Ow`>vk+~wal^NcTKoorn-Hz;Q zBdcF69}Lpw)jZ2@Ubyftwm>rE=_|0fT%e5=Xv>Rs(&KlyPFni^2}Ch6yS$Ipx(5Kf z6_tIU_TCl>AHm^u7{s3j;e1%<^O!oDXDjA|oz=F>Bt#o3h2MYj5RQ@hbaeJf#^06s z`*urQzp&_jWn-{#0ceYW)_#P%kDGjVouL}*m%3ZN=QwxOcs|w+H#>}tM#CB8pr4~Y z_g2o;awNg%_hvUW!+J+RSDQ^+CSa;Ubxk5GmG>k8p=;1fRul&@AiPmKu=kbjaN|-V ztAwMY*!JQlf6rEnS`zQ~j_%$cQk!6SDRi)$A`L4G3n4+D9T`yPX0Qj{NdKocJ*H(S z&&TcVe$R;tY*MUN3*=Rs?H}JUH2MdsCtnzARn4Tt8@i`hd(?l7_Vm9ym)OiPZDKpO zF2n!;JU$LS6pcLl;&u_@7#w(yWULNenwCG{R@;Xx45LZAIIZb}DiuZRXL7{e!x+4U zLE`aMKX0x4gt5clMP*bkXlT~PC!E1jg+d=!%$AP5B$q&#hqOSl+Sc&1bb_?WCMQ47 zF}=fLZEr$aSQY;c-}WryZ<(?iWCtjVMM(3}xNlvB9{nI9!pFP_QJkKUXj_(B% zxZ3xbnwJRn={241 zhI*l9ci(j@Uf%Nb*|1xMnT!qY()U7JD&2kBJLiyhd8JJ)pP$7Y5f@|u)Zg4R;o=MF9xH_6te z_G4|zppg~-G{gC=mR<z>sg3Pr9kKa0QW%x9DuSYov3`!pVeoAx@l|l1kdEa(^Nv$4&-rxfymJG zc9!e~sFa>JRqbMItl!M{3@Y(;Fv^1^iDy%KNr(2^sVYjnk_m@i>s{Iv3~6Bw6!2Z$ zaBO!al%z$C$oYH#a9v;wcn-0e+IVSazwyDTUqk?FuCh1RSn**~F>9C+l&j zni;aSqrLuq_5hyaR#msuY6!DcN2baOyyf`P(pFT*ehDe))p?Q{N(qyvc;eQQMX;`8D|1R; zI+ zSv5tQzF3(>#D5fZ~Q=fdqGX3qKNKOH`r z;+zp-{?KCydv}#0^cK`tdImItcrJ4S%_d3dg5Z9EC(R`_Se^T&<5}PD`2nvyyaTV2 z4<4>HIo0(ZqxtxVT25X}U;!5Xgv=F*gy-gTD=1>-yd$UAGTid@Le_hcKCn-5$Fn@^ zNPzVM^Z4&TqrkbAc<4MmkJvYJUlzB8L;uyIvmpwM$uGYwUhEp()0|sF@nc8mZ}0(@ zGOM&Nlmc7qLuUtcP7S3MjoL1YJ}#*YF9<*yi;QugHX>_vg$VGzGrJ*+&AW^?%oey# zSHb+rZ)2}I`h2G?X-3fSTz<(AhFJ2xBa7rfBks=>+N$!di@3eQ+w1@&w2hjtC3)aAcp0s zh}L$Op5OXS1Q`E19jvEb4j1SmvO7&r+byql%rD@}TC`C(HEK9QgGZsCdx>QTK+@`= z%BXdXV3GmwP1o5-qX3}PU$rXGec&p}pN;XnFmL_`F7b0p=P#pU5J6ogF? zNA^42|C|f};O-thJ$6+VL=~+u+X(#9kvvA< zz>q&f14Yg`prOHJfN(NtW)>?wZHW^LXU)`mql^A2NiDrVcSHVoP);>a!ay<2iZkFF z0W#~}e?wgD*}rEq$t_nCDsE3>djVqjCx(4*nC}FM!!6R<&$A$HkxTVyXED2;Xn5GR z7!s`Wt7x~{Xf_NRTbKeotUp!#Y}As^9bv$RoKO zF>p^TXnqogNc)p@+y~SNErWY+wMogcPxprIOOD7ehy47Zi}Z9VrV$XpRgkI14`U7-hdms1irFE=jP0=>AjPte*4f$2S@AIl`T-Ju+;b3gS3a{u=cU6`&1)8#RPT&snL z_hNY?=-^xy(xml;rP&Pt@T$!(pEw20i*>`#BRqRtN>*NdTkVy3&IwK&W*Iog1dWp0 z(7@ViNzVkFY}4wh_ZA~S(1fFOpUcBm&KjwF-7LO*f`>4stzw+&hIy%Ck*0Oe-`n*N zO_#Y=&I2S+#W(~ zTHR{c_h)oBxZQ~YhR|8z2>rL0^x9hGe?ST6nXuL@6ZD|sSy`E(qvGru9I<9a_FoU@ z2^VH43o9MD+0M?n*lOV&jMJ%o%1_6K*6cFPGQNel0)^;%NX4w>qqQpn@9SyTSw6ve z^|VgNQ6g((7MT6c0|uG-Cx?i?kY0Jj!w4fc(d^8u0K*exsv2~{_6`6*x;k&VF_QVL zqEGSjL9)MJ-*}_{{p=kFd|S)Z8E{{rK}LL(Z1Dj5c}(C4&9@c4fIKi9yD>7E%?rkZ zSK(OjE`$rw?0%1YSA?G$xX7T0*fwq2FYE{O%8lojx){K zAZX$<%Pg~MR>$)0I-9FSK(Mv)qUwBu5_8U2g71OYK2L?rY0pd_)uP4AMi6vWC6uT=w{Nny)ctfd}Kqvx}I&Hnza*_4F|_Ov*S9ktJbz89F% z4a&>j4_i1*Xvjl?tMe&Vc2f3-6wT03`{V{3y=P@C2!5k_hTg{lmvUJi={kI)-%G^9sJE4glOCO{z6oG=Lo(3<6yO3hL5t14NhHCX3>-pmZ~zyIWBwky`7-7)B1k_jbwAthumL_T&a8LRB2xA6+Ot>Dd#OWx}_z>U?Xiv zx&N8)C?o$k0nvxC5q^auP_vhi1~l>;NGWiM$0*S8Ks(s_&&S6|MZS@pJy5OY+Ac7@ z7dGEm0DiUS23gt64&LIZfRK7^@d5@#nXV5=%%+3vzvHK2u^~ zF~@YnY>X1fsRo0Dmj3J*AtY^{`vP`g!d=05G&x=!n3*kCOs-VvJH3s1$P56y*_~q? zm8FufFFT-iTB8<@yp(sWOyJ@iRXaP+Oua}!`=`{Oyo$J;**#+8e?Z{3(>a-^|E|b*PZS{z@Hn!;y_Nf7<}HoYoYT7 z;?{H0ey+B)q@<)YyA+`i9N}pK3RX4Rh|mw_X}8| z{-0pySCF#hJhwAQ=*&97rKH*~Q_1%NiW)s6Z5|vgQWZ&xAn!JP{#A4f^-?;(?m5>b zW?z``_qpLVysh_MV{W?^^15T`S3ryDNf1k(^dApTY2OukS6KHc9;Q*w7q%j3)A z7xbpy(f0v>vi_`?&kVqo0zJALcxdeE_WhvnlH6wm9iB1!+JSMD$72;f^31@LGiKS4~5{9I_Q=Q9f{+c^0Y^K-xFF zOPG}e6|@NGhZC@sw*^L`pR5?lVU@grBpL^AJO0Jk6l>6 z&Rh>SHoKMnvb5>%zu>we<`u`_5mbN2oE+nEN=%Y&Z(u>N5;CGkO2!6x<8{75Hghjl z6`AP5%tAp^U#r8af&n?MR|cL%LRI|Ob}ZHyX`Zq%g^)Rrp0TSb6A@4C3vzuSx`ho3 zfLwNyDJk@My)wTD_*|9#`UJbtb>DHs=RfxP|Do&f|N6@lzuyo&o5<_`|1K{h{l70S zqyF9|@c*~IjEJa=3?=ZTi@UGG`-i}n?l!&-st$G_dqM>o{r}3*80*=(I@tMA0*zek zeVreQNJ@zRzZGRfr9}z9G&~6xdx8GF_Mz{4KfN>eH- zQu_G5cd+rG49G+yT$;@XJjz$nZ(i@`?(1*Iltiz)i26Tdygb08BS{TOZMAsjulIoe zz1XUr1giNq5&%o%#rPo&F+hIhw0s3e0yyV6wCkRw0AL2M7DE!*$p9UC7^zLU`6d9M zuBKf;&)$g?aOcnUPqx9YQ~>KAc%tedU0Q$_H?H=d#H>evu9nSL!A!_qZ!~hisr2{{Q9BM#Z622-m6`~AyrjChSQpJc6b&$@3 z0tMz{$N+5)?W;5noXh~J}SVOefw~?11Aum{~ga;nF#pumd^_FkG>EHI<}*fPqk}qk2>@5rCrxX&3^;c>=;s zF)d$aYYr#?PaN8d1Aw@%fN)JraFES(RY(9pI}!gQ+cp5OEr4T&e0g}i!a)i+9|(Pc zeEfZERg4Jm8MSr7P!sq_jt%haPpE8rQq~Y>P51drupq#TABVWo1oI*XX*a3nzX3Wv zqohufP|6&CzHaBCMl_)mAaz0A^IIKn`ae(&U4?sA`K`Bv*9QJKK;`+hQr{T;soc;e)+JQ@y3dpH) zWjJ0^H2rh^J&Obo(veh@nzqCDZy%rlnzMUicvJ90z#-kz^R_x|t3RWpfa@5k*TPRH zp*224;lC+FgI$eez9}YU(S&aVT&%x+3=x*&0F)kW7x(f73CcYNxE(DONAbBPvD1eq z2kid+MPEOpOWELr9B0?HNB-&^&e$}8ZnY8a$ttBb?)2w zCZf3rBOO8E*Y&7%fM7=~FC$}7Eb0_M-S1Ywm{OF4x&p-YY4I}NFDgY*6UFrk6fpiM zszu!=qVA>QWxVJ73B^rB-Lsd^_}w`XB}f$4J;lR#*ZDU}o@ltMlxLIExeldDMBSB? zznSCw0ri?lyVHkflf(Ht%A6>!!z_O@+c_KMOmx~Wm%o|iT!Qi<67Oft-^_GwMuia7 z^^xRnW;oxTze}LOy;Un3U=EJIa2GnviXdM`BDhcHk?EvXZ=p>(|dS zN$is0jsXelY+OQ5H#k$9&7_ZFjz_k0t{b~xXw zQK8A>nk0(XoCgV+M!(tZo#=9J)Ig!o6B?Q$;w}V znH8a<*AnBU93NHih729T^4uJ|Q1BZaZ1J=3odAUpeY(?T)`{>XAL1v`&~A0SawYC={I=55 z@D~BnA>yy}#}l13Z%l~vJ8M_+)N((hi2L-#QRM=bs5uqxC5z`XOE_8s<^x1Rd^PkZ zlO5-Zz7cW1Rb*;qYIjL0Di9iJv{51X(`C2v`^~RkquliBqcjgA4)d3b&n*g74azkf zzp}F{Kg+(&*Y?=pj5kd-C;$)pX|&!aK)9SG1(1fz0Q}^E(o-@(b^vRuZ=C)@-ox-RHbCQw&EcfzJCCFfw zmLr`ywWhRtEhyjq86pnnNcfOikyZk~zn=J$93YZS3iJ?5mg0Z)Sd0#!*-GJg8C`O4 zsu;Vd3Me{cX>?&LQ7Of`a61tze}H!AY`s zbWZdk3vF~fO3VPJ0MbQYz3E~k&Y04kq~i-;haOHpiv>2C|56qp7y!6B)tfF|+q3_& zPO|)9@4!j9#8b%1=^f7_fYTgAiQd-F{ZclYpP5LyV-uHlx72QSmMHo5?T&Zf+nkQt z#kmc~8Y;O;=;_0qjDwX_Z2izU$vn;HL;>OXSTP<$WFP1qKLbO!zj2_Fovq*gm1Lo* z4N<^n2v+Qg(bf_usf3Xbu3e1|<=xm_y7DldCMG$Q03#-To8w#BwM#AS0kDn&IhJHM zWn5|?12s*DI;ttpr0L~pSekL~9N;QK$X{G&_7jn?SSd4G_)XPXcEJXVXs3m+F*pXn0hic(;R>S~tld(;nK@y6TOJ`AZ`SMSvi*FrqVB z$2-*m0f^Wz_Ryn`jAvaFZtJ>BoKZcS?a0e2)o&4+uR_{jTdF`q$aIm|Lh9CktE@-2 zg(cm6o7;$aX7ujdr(}${#QfZwinoH<+*PzxXczao&f3KdV>wN0=9&4aMd!SjCas!) zpB=n{wWUoH(Rw}%4j0l962=Zjk$Lf)Tl~Y95yWy;e=2y@GoFnZWS-HJ8CoYOjC_@} z$t_iuv!{&fXKYE&^5|1G`V79s@Zc*uSVA5i_qpOR`mVq;W>%DIP{UI$i>L)|V{1Xi zx#@FfAIIh|^%^xD`l!m%qX}Lbza+N|_lR$EmPRMFBP_f8^TI2{B-JeyjP@Cl(*_M5 zt7HW>J`kZllAy8-FIF<@xUQwkg+z~4bEzXq%?Cd}*89~zh7Wgo67T;Ic}A|a=c?XV z97*s>Jh8XFWjHhY)ys#kWuVbuxPw%%tdeJiHvydVzBDs}XwJyUtZRg0pLferg9K4s z4r}i$N7Rs;+8II0HKZWT8NXYiXvF(UE*I!MuLGn^{IyuOV|C8z`4)*!EIuND zpxmdJzq7x*1gHb<`giw4e4Tr1l`$zKvaGX=e@t;{qn_oV3GMsH^jT_{%{hkQtezk7 zn9I_BNyIOgiSh4jg>UI_z_*~G#fX;`GfDUmkWsUNW9zFnhka$PvcgJ-ofPKd$Jp!v z5{s%#SVO*<(_rj+h9g~FhpQ|+#q%E#Lj1T6XHi10Z-elXrk&+Sq&Os35i>ap3(y(~ zyc;%q6|w5s@V!37+NwF9yuKfKP8vRFtm#CxRxYvKOH`*olq(9Job3yUr3vyTg^U57 z#K!wJh%C7#EsW)!JOxNpCyW~QnR)8tp86`1=W@?X%#MZ(#Rqv)6DW~SK6&^yh%E)x zE{y$y)c{Oa#g3-*nRyxGG)@&Ma~~K^%+7=e(6*cjhQBpdbuv3CmoCQ(Hs_GPrU>44 z_h{wmug`gjT>}hS(?HPi(9KrNiF4RPWg5YMYTGUtvt~mdqV-6N!Wn!Uq>;Z!;CjDr zz5&RpK8!NZ(Ceu`6zUM zc+)P;`odB53$vd^2lq=LxD zcn4Hsdq@_%r+pk3>We;(&we}L&nim8Kex6)PqbF;;t&s(OUthMo!}*L?UyNPV4a1 z(ry`|H^!1qq>F2%-Oq_cY>hlt-u9E5ze|{xdHPVbrz9-BAuDvBK-4O$UmW7$<4unuB zS|aW(uLJ02M$!w+J3MJNb{L7&DFUiIXI@1e`#JMiv`|aSD~~lB`7jI^!C%tgMVAi& zGHa$fso9lf5ieMxJC2B4XUZ2IN?7$K7)^cDk73`L&i5{)J5MsPnIptF5 zmQGT5>(7H(7nz$7yso^#ESt2Na$lov0OnUCBdEyZPA1nwTXWv45g}xFp5BDit+l8IMlhY*}`r7a^M z2^dwnY2%gK!49YGG{Mv#{*|Yuz29gDe{?RFBR(vCT8rmXCQCce?O>Q=z*KnPra1a>XwO6(GlTf3JDznBTe)1!8 z&pubNr!F_!Gp|2&;w*X5cc+}*4P`1zTP??VIC;{rYYi#<){dN9_KM&tNNy4dmaQJI zdO`E$Lmrv#oMfMC{|{4>G?|PaBwLhh&xGQ1Fh!7dh51gI2gyW*lx$T(+FJ~<>BjtW z;!P&Ey$U+)3jCO>tVDdY9MlUW+(KyY2MpH<+ocFt2Nk1QKSqzh@X`_e+Czk3$}6$g zgSuJ{bIYY;_oQu1Q$D+Guzl1A8&a-CTLypcV4f-&Mm$AIf2@gYmhxQB-@274T0V%1 zKaNvB9A>*oRVqo--=W z)If#BvF0m2xknkF?Sy3&I|l1`agqZ9ylJR#>X)O9>!@(56d{vlb;UOW_WeHY>mLPl zX&Y_lzxTSW-%Hg7%Q`uJmAY9BmrG%vhp7su72C)7SZ}&_)6q0K&ff(Wou=~1r58ri zN?s0!2Ny8dL|$*+&3*|MO&HGn5>`vn>NtOgahoaTO1vgA(0Wx{iAF(Kxu@n4YAolJ z+0}mQc(gI%TH>e*z%UeArC>EqQJk1HsMXzfG18bv{813sc^smXov#Y!N3x0!s@Kv| zCf1Zul%6Q~WmC?lg*XjA%+ZnMRUWEgcOP}z)n=#>yO@l73KQRq1IP@4t7Hy}ecDp9 z{xI0ghx;QX6&XqS7c zSjtAYR_*<2A}{j2_vlU)Svz7K#EjGVdImHdoK7km;*};Z>;XzCBi1h2clb(E*vIq~ zT0$#!ssS+S*v?V;e`sb@z%N4lF7<9@)}qJ+{_TMYEjs9VuHP+2)XF^bAvy2`TUmzX zqkOR2I9fRz5M6I=mpx9tSN!f}VB5l}EZxHo4g$tMDSA3(-RR%G%>zSdNp9I1Q(`u5 zdsJNqef%-Gku2#%q*^UVws)K@IeUlwt>*TTVL}q1>w)11Kf>MJ6OW&&Nj(`~eh~gD zI@#KS}IRD|~g)rgN zK-EG8-oW7J&jZEp=Dk`~mh9%QdU|j{IQk@poaDnK^iIC&lCt8zM?n`ng$e>W92SxH zr0%#(S9L%~r6P0!$0TIX-c9v8;<3lGkvvW`f31y488?Km%XNI4^Tk1T5PJPuIxIz9 zRks8O&4@Z(#)hFr8xKl2b-$&Gz3#u@sCoh-+bB?w#DXQbUWH0(84fG+L@QY9Eqxx+ z34VW<9f=9M$@u(Ml-yOMj41e6*V%ocmdbTu36G}Zjn#Wlv>8G*mjwM~H^pIP3@;e1 z3>8K;M?~n2Lc`Sp`MAWJR<~FY7T>gKU@ew&Xgp zTa!}LF!#9@5-zi3yMB>_PW(GuN3o-%JY0GIUW(xBA2t+oNwYQdQ`x_7?hq-x z(R^K|{AP=laPhl`B50fDgq3TOe9|b&`+hK@|A)Mm&*zMz| zM#jr5xS(o-Sv?8Cr`z^KnU3Y|f0Qq%c%Ug@HH8~brx0U+1jwHDPzxz3wSVhJtHhaZ$D z+MU^+IgUyzD9&kenkCs$IDR4J4}dktQWlZZU?JVS5JR>{+l?O58gV1Ut5ib9?ax)6 z7(%3Q3OCM~4HShoqhrtGNDJcd>FKG2e*Cy8_$GTLo*LJUzQ<+mSLpfv8#;cjo6K~a zkJBe9k1_8Y!k~WfkIo{z*$;;5HDTR>dz?1Gr4wQ?DE-lb)Ykn=vnEtRwgqm|@2Lr+ zUnxW$(i^DWSzeA-oqP7p=Xu`>AQd5&5uH ztswcfnbXlA42<-p>l2BY8peF<;_pVUR>aObf*)htys$-FW$tPw(2q_JPqTO|3cUaB z^bEWEDzj8GL3DKbL)AbAH-@MI=|GF;SIMi;%no@4Ns|3dZ6#9ICC zvckD^U_v1bY7;ML`}X)JTQ8%}tr_FF$rqYl6z={EF8rgt!8uX;1@|J-^dX9OJ$+EfQ(zUR{Dxg}1!|8x0WGb-?Gg6O@2pK)afqLci7?J`{R zdEnW!`ZuHZEE+xDe@H}`^tl8 zbi&5weW;J1tA*P7=QhwywtFx~<*x-N;k%um+BKYLH>4UbChH%gSk0H;T`kEkr1Vfs zv;ORFXnRkn0Y9%Mzeh|%G}C|fa8AFRrls=ZEN8s|`(;_x2qNDIPN&Ws{6ezQ(LaYH zi(dphVzKR9nYfd9ssX>NCRa~tmdBv?5$(Cvcg1uuTSJ+;AZdX zRQY|Sn0zX!fw#HferU)>Bc1fg=O=xt!YpidPFy2*qeD&_BunR4RROETfE(pzJF;Oifl!oQpyPQQ1AMGidE&Vcy)9ISuZeFi?-)R3rM zgPH``jEq(3H#gy9IL!0&IxFg)!oy!e1o;cR54P1xG3@u2rzKoQBN=72GQ-)09i3R6 zO&T4ot#g_;q48*YBc0LM^9x}T7Ud+wH;-Ab!9~0nwRS7)F6u_I85okiANoVRb*%c) zY*MF|_ie4E9GAMMKQ_)nA^D}htHH7?tk4LVDa^3=+^Jhvi-6MK#RfwxcF+Kg#PHDc z?y1{``5*!<&fW0lovPPUy5olQN1Vbe+=hXK;qE)fUu7bl$4fP&y@n!pFg3CTV;OW7 zqh|i>C*z0qRa}98-f7pG$i)vZvhgi)`WwDO2$8GrwtbN9RcUH@qbUYri zcVP~VGpw&Sw(R83@3zINzpXXCkeGd&<3DG`#=c4*Zpa%c?cKs#Mr83bNY3`4uRDn- zENIV@X?L9q5s0w~m4BQM;f9CQexf%EzizFwoaRxbvz1*! zN#epjq`in2yz`Uu;IvFqqMFLzdh+ZQ`eny`K<1rTK@Tys3JwPqrJd!6^s$5(sct=aoBut8xhX8e8M89&s)rPo~f_IX44GQ<=5e^oMLWfG5 z2q8q(tn_64i3&H^yj&jPzqKHEsI?1-A^qBukOSjHKRR1^M9tPb|DoI=Aa3lmnylTk zo{FB=&$td8Z*W>J+r06*_At39H5o^pFR=G;A|{bv8uq*BJh<4xR$HhIU{-(K2fS-^ zZ)MSa^V-bxT?15~35!1av%lO!^2xU|S!tzcY}Wzehz@L~?(a1hEE<&YMZRhyTw1PQakB3`;vqr*4qS_qb2OT>aNBXc9f(&emrPu1pfceNJ%++cw3pwnu#w$6rl;@xHjh7Gh}LJ%K0hx)!&?M zSncW_o%h>^58Bf?$(PCIbX4umd0pR7b5%Gxe7`a^)55j)(mn5HRXNjgiXwx@<`_C{QfxMSbc@1e$V%A)2ruh zc*vygkE|I0Fer4!1I(}dWvl$LjY0bb2E0?Apz_QK*-Fr!9!77e9QO);FC#&#X)V)Zw*@o91x zkg-pm)(NrpHot1FIwpOki*nfxqk{9vNyik(5$8x$zBA~rK^SSF4-|$%rmuor%zjJo@ zW^EEzemDR7pi$W*_7CM#fC|C5%PcmxIwiL>p4*02DXB=|HV~3A_arxSul%ER0@s*a zoeDef#TKZS#`_(5;aUA*gJ5DQzPV4WAT1}m3t+qMA==y3$4-VdX`hGx5L%+*lz2AF zdz|bG-J+WX3DeoI(nGa@fp}%7K!(Hh_sf~Da@1@SY;mud#vi{{zX9sB!6&j?F{H@E zHSn(2MJo?mq~a2=9dY>9k(oku9CXVUVhj2B%GduG$WFBW<%+jO!q-Mkt*5qi@9}&? zuK}re1^riV)09Fu*p8uY;i(`R;MqhR=8=3 ziBs1EQ22)rK!;;+fW+3@kQ?m5RiC$6W#1ubi=gHFK7fR>aHtC+Ykq{fp}sJq#)tfH ze9bxYyeOl${#pZKRO3iA;k5AES9@k|ZMw*jcx2YUF+)nphr&i33$r1%MW?*%>Bdos zfc6#87_UZM_a=N_H8!u!m)KGkRFAunO4^4ar4z|xHbgaP-7OSY=Y!|A{Dp;(z2Fh87=Eb=PFHN=ag*qFCEF{Q#Y=x zd$IIZds%}1P0Y<g$i%-I1k`%XZn+=)BQe}N3K4IsWKkD;`!w~JRrZ2Vc;Hh(F` zNRn!iGWVx97u~bZC-5sNcDK4@KaSSg1QUEdf}2ig8DpOjU!HRm%t6`-Hv3rSY@Oh@ zzy6AV{4n?e%>)P2kwiB1OWI4Zl8h9S+|(xpYv`UF$05>ae6sn{Jmt@_;^l|f#(RR` z$0$NcZat_d>1g9LujB)M6L*`Y^b5dSZheJiTUVw|($L1~UI_>M=F2sGIUums4f0zG zZ(XT>kkh|n4H$IKH6EG5B_=Z|U zIBdm-VT+sVD%FIUzH&78?eLjTD0pb~KAV2_-NuC%QLs8?L zrD-Za;_4aDk)Z9()eolAHG0lwJju#25M_oE8HqD}47;))j=i5rF4}y-wv&`%F&G=X zA^CXoBENVemc(p~hk!ublv%uH(CzI>$g`@2e5*Uh7`Tj90i{7usfBsI6ghV58*!%k z?G)j(Ri4<%tdD7ulUy7Fg^>k|xRlOwPD7c`>|3rD#2d|mO6|<^4ag%}Y2KIC?WMGn zuezQ9gI5P|G~vHx#)VQn zPon4Fy`SXg81Im$S;D70SK60(Rng0XW&DAP`&l&S$ROL1|4d?DP?@uy;~i4!Z#P4P zIQ!78^SKSZAwA1=X2gl>RnQ}@3@DD~{bwfe_H=Lku<78?yFhr4&k3t8inhGrM{6;r z{Hmp}_O~BOyJhdYz$A9}Zc?95=!fxAqk~QMxlbwvpJRZ>eO%IdV|_l6Px}an8;aw; zlf7f}jeloIG1~bIoYq@&Z_V@Nt9d|oz^XyYttv9VQMZ`R*%E2N(P?`WK96|eNyqv( zgA|0sBW;InK0ref2tL&J$0T_ZMN!48m=tg?TRZP08NPUF0I)pP_cy-@&wX37v|AI(ix%z&C=PCSNs;nd0Gaa4F;`;ub z#Gwh!fPXiQ&iOrwq`{r=>Ih9q@L8(@i#i?n8nOzVH#`vF9KPXhD-fB-01VYvNEpIEgo0Fn$#nDY+lif46o> z|174PQs<(bbmR5q{Rjb1MjA!MB8tyITsM>>2sd<|d4Obtm+o%KK|-$3RJYJqh&3wT}b|PtKT|o{gl}Kuk}dz%Sg?FH1l|XfX8xvmYB^PSVpS$}fB# zi6v-!zquQ~nq|C0(q8(ADeg>iLZM77Y}>{c+=V>Va41Y#@Z+YQk5qi&E&PcxS-S+_ z(bL8d`&gNW6~+p?!Xs-EaIEfTI9GkSD)4Ac__I~w&f(EBmXWl#RT$iDo$W9Sg1yz5 zuyQOw@Qk}{SiL~9!3ez>?6CMP*d#2KE#$5LiPGK}Dc@vz>Nt%IlhJ&f)bN`xmyu4h ztNdUZzt9>QS?jKJVY!Z@rR|AG*Le}j^;jC&(ynx(a)euvEd}-~NhrxP3&Zp?mpjiL z-FqbMqa@m)Y!gA#v2MNuiI);DIsh}?k>vNo#F!R_qyyPul+Tu1RO$=OWd3v|V1f;^ z_UiTO&o|i?>rijUbr)? zU0i6!BfmN4c{g?J!Af%9GJ&uQu$*^)e3bQISk`vY3E_^zy|v7(3zvMJd37!DZgSg$ zb^iK9saPLtta?jf1%*~Y26DZE5h%=>ce96ssU1Nhba3WoSPbLV=e~8L4*g|Kg+jxX zCgL%@8eGJ+HBQkd0*@Wt;vPx>;NF)|K6!{Q!w zeeP?wJjQ4W-DfYBOu3GD@#svoJTIJbGS!>#U&gw%Ez@B9CS&t6ENper=ecq#vhou> zvU4KCBWDXX%!efE^IW>ofA5s~UZ);(?kj~aUeCVw$5FTzXS2cZ6WCP(_g<6Wv9^({VDU zXv6%xsU@@BlVak$ug7}@Tt|(#^dDy3?iccfSecY)=%A+C;~DhPhK2DM%RHxU7SWWV zZcbzVmok0$Z_0E)OIaf&q4>Z0^1_8`H>C2DEY^@+vAy*4sRU^QY4}DnXn+9Wj5u$r zDb%7T(z-EEa|ET?dSo!vUmLHUkVp3oNC7)JSzyP=yc_Q%cuahCYi1l{7=v)so;9LU z8La(+-igL#%ovLkyXnF|o3S(|#j9vUF`n zsrooq%GdmUz`>oZpz&rgOOp^J@zvN?%yQXjVrogR}=qB%BnO zEh0ly-c1y%7QQW^_`;lccgpLOD@bS9qmt^J)tej8-E+Fo_y`sOY~4ek%sl&@FP2!0 zXxw={UYULN4W*h4#QY_LtYwg{>~x~OT$%YupvJq&44XpELJAjNMdgflPT7Ja_B|RN zby@Ri0h??1q;4C)wg|>S1V&|=fgujWor%r1P~m*CTBun03+n-)36k-swnbg`=fKbn zK|K4O&)Vl%+erbpq|^MtQbkC6eo>5QbJaNC3phypP}=xhY70cmldStb#F34CL6dl& zukz|Avi#n3(6%_ST-LYgIEFXs%SEL8qn|$vh#F&H7cqTB&CssGWB$OA_P#nS&XQ7N zxsiZ>)cAdurg8t1A}T;VS4j{~Q%fS5P#e`xp|RZkwalC|>yLmvm8lA5A2KbWwM0D< zrew@(-rP@*33;kMvtAFG@y30gc}^f!-I09dF$xyyD(ddXD#VFF9S+kED~D@h(a1RS ze2-%KVt#9SN;+cCAzGb7|IOG>d0ai`>`Ow|lPFSYiuV{KscpnVfi)zN&ASRuDKwX- z4;Nm%ODpDUIcv(@P%L7nda&v{@a(WWDYbn zB(Z?A{d3yS?CydeWKDVLeP)VsDWp2gkG*A52kq66s*R*X!+d9!QD5>Tt<_Q*Z{UVM zMr!_v!Di1g;MVg?js|B7iF>{L*YB#QKCVqvuEDFmj1KC?n;OEJSj-=tIqrfm8`zyC zP36v5$Ezgzu%HCNNcH(FeZR82&3GGlX0}`@n3rcKn3H+N(eraK;?g6@M3In{r;Jx* zGLz+4Rh-2>89(~?OgA=|-K)>u`)Bo=vDf4x#_Ji+NVc@|@xl^F$2hZ*j6bmSw*>1| zrx|?RP1^m4ibLE;4@Yw!a147=?NI$1N5pcqIPBFX(zxjQuZZo(njlL&7n4~5?BobG zX=jZQ9F!m2U)1x596B6R+^XU3MqVJ_NVhpQs}$w@lfgLBX>P6&tjm;o=9+w7Grm#l znJk3G+Ha90@C}>gi&x{x>jM#cc5~~fo#Atdid{*`5s(1pDwE+S#>DmSVoe(j`DYl` zHwc6&6uK+JUvl&dj?W~p@f7|T^>q&@8%&epu!d?6xA@-DAor(2*d1u1-;sV%H8LE< zM6PAGvgm!5ZN$HPtp%kJH29IKsLgJQ^K$&id4j>O0|PX{ZfTQ0m}SJT*U;aFFH$Y) z!EXGFV*F31=6M+?22(5Tr83bXV$2LgJUR4st=A*wo^@vrh5#m=}7GW}f9 zU*)G4)j|kbg=$iUG!uP{A3-lMCcHuPbIE^|AxTvtd+30Y{;x9ZIpai&7xP^3UuAz% zrP$EiR5j`5h)k(ZFnVg|Qrq&)$jc?9R8R4bkcGfG{d(}`g({1&W_#JZ~c z_{WbstBEEz<~ajznQkrArM^Z?5ktSFL9E=>>awD?VG9Vn02 zt%U`;k_4W))E)C!{b-%MnW(Yig}+Q$sl1!~uoSML%@k0=E2ix|IfYIle zVMbV$S!*0#?cFA2HXL<*t67=UW0E~1lk(Y){K4zTFOrH5lsK(5N8CM&-ww75r_?+6tPUa^1!-2FI8NC0Tsv-e zx_|y||2FbR{vHdD#E%kh{>gkrBE;|xFqxKWRafEzdhMj`K-1|~&YVT7S^BTxywt)5 zU!EHc!zB(SD9p@kb8Pu#!cxQ3R-sUEQC<@+T2Nw^!Zzy?iTBpbCX$;wCNE=Zyeel zJxklJwIOvs9o>r4qWt_?F2}26DGTr97#vt=2uIUNlS?+-y6q=l?9KH62Ox_0z^Yudp_<-OiMrTsWD7GV)SpFit_c&Y z`xTGio5N%P5lYxprJ;O;CHV)R2QUTtwm<@pW91vB>zWPe4qv%FS*Gcj%vs6NB?$m* zb3(7jos_rO69;7)4uBP(vL#skQv73-)bRjj2rO@*Bks*W-t~wG$m)lx8)?ZIyl|f) z>~kbgp2kiL%~DcHlgQ6#9xaca@f0@4K$^fR=Z{Pqf&ewTlS{PPaNN=F9^t-S&fV5h+wM^uJuUcaO{;oQt-u&zX)4_N*P6a5*@^E+<=qwU?iOHO zv~HVV(XHIGywUJ6(Gy9Xy1wQUdB)RTp}xP?42|ik*I!iLo=LH+P=D^w>_IS%1r)ev z$=gS>Tp{m2wKWfC5r_}?#gmN)bEH-X=>4XYUM zOKPheGDF#(%RAx$P)ASqcBe10KXtrW_y)KJ@M-g(|D=mK_{cpI!y1)6JS*q*)-soW zT()i%gNnYUL0mr!cLvKTmiY?VqPTQ_kT&Oit+=jlIE53aezRc(0W;mB1HPVvk~$c>+v4m-@=2v0PYS5xb~*8WbAabcS)$v3T9 z*Nw5tSlJCHi`W&RZSGHS^?Q0e&9N^=#citn6;$sh@^9C?A=Rd$ZA4}9r`GvV zS&JY$49Q)s`)N{{i=mQGw~Ww_4x3PGcn0{-R;#t#^W$dDV7WBLuqfz_#nk(JTzND1 zhfTc`b$dYbWS>>a^|Q3j`lkjFbo$W6Tl(M#tIz?RCq$bRMlg?d>YoN>;AF->$hyW% z9vf3sJjI+W4nWYzZ%%f%X^&_jy*A~>7#!Iemo?!BHyPi0YoRu!#u&h+xFdEq6N0?WMGWthL6a)`?0SqIa8M_vy1xst)v1orvVm zlBFZXU}>}X9gRN1O{tn&`TF)hCAb7bY*SS+%)jGJ5#;+m?Jm@GNhamW)Y?C)ei8jx z=)%Pt;F>A|^jfR0e(#z*`DBuOqY_NG$$Ut#c~;wPTs`Df{2s%R)*YQp;87V_VvxvW zBX+#GA5v$=SGfvl5t5tvz)!Uuj};?Db2fT}!@lo}Q)_(=D%|)ngaRk;5xdC3Wqup5 zE$Vtg>F8$A;xN4_q@0aP6YPeUBJghUoi)|3IAcFWF}?3(kzo#x8K1CGYkqz)(|ovX zuzA>jNmCj7S~&)_H@fv1YeoRtNZ8IT{}W2UB-|*`xb{O=POKD9`@kvA?6SF! zFszra_2N7o(@b?`VgYk$SD}}v`lOkn>Ua{L$~y@ACEJ$5DH=o*njdD>pV z^vDt^)bXeRJ;PWc9O|@o?0?NU9ZsiUk6H)z5ct$8gmuDP@F`BmV<8adDjF+1HV zr%?T|`qX;$?5ob5+fO7?_Z_JO0FW_wDT>_1WG905pp;${uqa(S2?NFnw~ls)L-M2n zj8+}JnAG+%?xfnXHb*~P#>$idBm0wjSpFC%Eak1DA*!>oFs(3)C1IKrOv$cOB$z-$ z{x18rGLeZpDmUvqE*O^)bd_qKHO+Cc_w2Q7oCeaZ>UOiTC9YJ%0$cot0^bV@AbJDJ|!j8!_Y1aBeg6Kug--{ zc4}2n`-!Vb=@|b-aKrOJ87YE}OdT@flKDD>nC({uq(_IYmbYmlk| zOK!^T&c_5IB$-4|mYmU!1`J9SP*xgQ`m3LUG~e_dCnG;zKiNHvPWNG8L&X`{TC#j^B2Adb%vc1{fsCrg%YU8RY>}~F*MEp zBNG1VH3va-I`}CrszU6}j*6Ib=gW`yBD!s?Ds{V#csTUFvn~2XGBY#1ZxlgmZo(>V z)v=h8*&wYiKBY>=1;i2WksSZr=~4e0<{%D6-t4{~dYV9L&V-BlTeiEIfR=wqgX-yz zoS=HfkIr#f0I)K}h`R4C$(v|8-(kbWw`MaGXq1YeAyh%5h-$nr@oW%Hkoy2I6O||c zn0WX6JdO9)Fw4_mgnf}<-lPkep;XRPd|S@gbq{kQ@H^DMqUyf0MC5GAMrcbo{TK| z?K*lsr}zD?l+k8ZodcH01=aPt-7oe>^gNG7o@U-5xYcu}jCf1{3h{EO9{(a<2s*4E zyg2mVrE9@q0Nv7@Dc;IEKb8AP01}e&CN5};n90HlCje%-j=&==SdE=igiXvqAXa1H zXrBQ&QA+;qc9Q}SsKTT@=DrVW<%6>`@CO;RIN(k1lbHTp)Y-VbF9I2q(dW%9{3`-p zwfo~PE*%Xdkccq!PDuY{HM8YO!H)~#i9wiqGxNu@8cQBSc2z*j8s}YCt-Ho|(WG4$ z)v-vR*j?xeru~(c77OSL;|-G6SB^UzB6JYXFYou*I7mw*AQWTaTpGr}^;DG40lQEY zqiau32hdSwaE+aBXX(p0EufL59^g0nyxxzog4NL$vZZE(51U&SCglAZpg!H&L5tJGEGyIv2#~>SH;b|0OathFC48pQL!OIo& zTk(8uLFK#(Nko5!)s=q+9SyW#(hd(dCMN(5Mj=w_qr5(X-b$UP>S>>EfjZvL0J8vR zpvWKxllH?kWAeu!nMB0!RJ0c^s8ZtGLm%J->R_80@y_1eMEYE?J0&dcybh|=K39LO z>O)4Q$9>R&P>UyW(O95fLoz}K6XIS zKvDjzn4s5qz^v*2&wuFtK$U00kwIw7z_xusUFzr{oWKe!&}%GxU=0*KWIEmdI(WzMngq*uQRZe1wmUMur) zSxA6XZ$Wp3>C3z{2aJT?z;UoqqQZ_Z>vgJ|5ev)CnNp9Bxu6Xz^$-Cx&xv?>m>r}3 zZP5?vxfbsB4bA!1q@^I}u8{y@V2+pUKH^wXmQ?4qs##M_KD8KVduw82?;u z&3e<2my?fGoU-0}B{j0r)h0bPYSTsbO0mR%)HnLNdp6(Gz4Q zP8KJ~Y?FRgnO7i~o*+oae5p9HlF>tk?fPzmy&&Dwy4UBCcwqHX-6?pkEmw1hj-{;e zE~U1vY7&kVxh_!Vt}rW5A}^g#j4f^DJyp}7Uj>Eh$`xDP-{_^GS8~$bxJff!AeJr| zUUnC8PA$bua>3jM78SW498%5BEc&$0L@i_=d9kcxcV#AB9|f;Su$J$o-Y9c^w)pV- z-linv-MqU4g4)7HybRh!3Nb3ZF06A?%Z%7nU7AwM+tr*en1+v*l5Y9C&V(ABs3R=2 zDr?`oTrP**P>^^yAV@9t;98NA{8pRUyK}RXnqGWOCD%=L3}1zaPHv;?>Zv0B$g+C3 zE^*OWbpDPkyiZlLll-zbbf%sQk+%}e*e%R!E@pjTy0zJ~9Xi|e_*!R>JkVi*GtXLw zOUczIhU*z=5n82-JHMZuLwP$znU~tmk&dLGuDX}v98ekYuf;se?xh}-)gzk$~#3KH7Qhd=31OnPNmvjWRn5Qd!ss9VJWPV z-Ow-%Pp0ycO7R{Gm7Ht3E7yMKm`BnvX`zt2SmsKoPRO6URmiFd8_Cy5FKvOBgkV-7~%acdSqe7<6Y}LQI^s*^R!a%u8bt< z6h!^6$)53eshRq(f^7q^O@Vzz&c>;BWgg`p&0)Sui-H7!4Vd$6f4*kqew6g+_{yx@ z8HuF4MZKZCP3OSgOabkPA7dVo^?0eL)9O5p{8pW@@)joX^`QAo9{otLRS%KXcqwh- zubg!-08Z9IGh$I^s;)aWus5B@I1(MY_Mk_v|CP1s_MlHg8?glRoGbhS+lK*yv&U(T zI=<0dL;dQK!)AxIdZBeN>b8jh(pk1J0gFabo0PLF&M|ck{3++{PLuua2R%*up!b;< zsl2B`i{V#4=Mi_0`AA0M5G($(Kkr;jOH^;RWAqK1uY2Wah3NIzI(bq}y*wjVQJH%n z>DOOg@YlnNy&z92y`zr5Cag%XKdW({oP&FNla7R1@jGRc^EZxHhdVuaTcPb_W`>eU zP?2H~CtG9x4z{XX;PS~R(JP;`#CFeoxogElJgnLc@D*x|DgdzE73I?x&1XjBT=jc} zPErW!o!Jg7j+!XYW;hs$lw}2-+;dFs9S%3^O1;+4820x*FTz*8D?h7teSm0=F?)b` zjtxM3sNrm`K2M%5sjJ_BXAo7S8HV-LERtQ!#0xN%?@fgBjIIjFH^pP}u!u>3>(L;v zFu>Kh)SlHp?(Iq>3mCWEVv0Vg z=aPusz6))?R;Kz2`*q|K==fr<@J>I5C0Y|d9`b2kq9iPaVqy>6(alX7<+_ug`+l6qd(fQ_!L(L3nM%F}Hy@RpqX)L@48Z~P3k zNwsFWl8md{!tzf%r}<>sT7y~|LJgJkH5N7xVbr+d9hkfq(u7(9AzpVD0kuhxhT3U( z=ZbxA_H`Dfq?4-XQku89Q!Bh!zMu4*zVy73Um1KgAGuBZl#j68dgx6XwC8MLxGm{8 z21}PO%!aqPq&<;)<84jLvgRl)EaGN@z+*lmtHE>E%w&X-tkzRiVQILh77G$jO+LX! zlt}21d9!^T!z8;%o>%PC`QaZ(@m@cMfwKoL6(4M~X9GbxSmv&Yt%upTU}eSRKcQ&n{<2diD~FhVu{l>188 z&iT4dP1%gN*2`_3DCZ5Xvg&e4APO4nC=-YhIFvCVh}Egl@Lsq80=XY8Q;sz2ff)tr zWXx&lF|*uk^Ef46!xUi&L)+7EgMx_2JgcK1P2J2V76uidh!AMxp6X0VpMO(x8=tLB zam01y&l)b(ahh}2>7oO5DE(J*f_6TNnngl>>*GS#+iAJ@1$P0uv=dmg9#y;M_joU2 zfn8+|8@bUrY6ajiNAqd2NRvmgk&R0a&?2x9aHd7*M;sh&=V9s#n zTc$p@f;s?qkcHau@!ont6%pBLh#Vo?!&2GNN;kk_`x*uw@U4ibngl1J_jDDUGwe;l zPx?Kb#6Ed&7BW?&oD~C|_gmt01?iM#ycfSS?~!5t*<}lxetMM90Cmc0)DjU;S*%*F0y4H?E~e-ORe-hkK0A(y=4b ztk>JCXIoQ04$L4}k;|;>nz+R?djM2N!X? z*mvj4?ZL*R$bm!HlM)k_ayr8;`RVm>VkQ^krv$TqO4v6Hg;=`OX-g9t8?uA)gbh;V ztt#iE=~aO845x+CGdO6bRYc_epL9AGFt@u{^tkpNUKLL^npOu#`oFY=tq!-zpLi~^~zL}jMkg73%-p_zoP^`((x?%uPp) z%5JP?C7#VA?;nv{fXLZwnz0##74ftGj2(HiEl^$*%drJMGOY3{`Gy`GZw3&jl*uYd0^ z6#D7Vc!6(n?usqezU2QPo^b>a|0S`S%iXg>b6M~YW}Z&_5_0a!Ew*2Mw*L`&1qdAx z*&$UCLKJa`o$he@?_K$7dmbb0wAl5}%DwRrQr z`i5J4mtOqYL~C*gV~EBzUUBAs98InJCGg*RUzi=h63?Z5#LoWnV0H0w@|?ve|JPZf z(EC4*wYuGQvh|sqRbhRheMQa5qMn+S5XywRZ`&K2O8<6T*KXeH@n8@U zp3p4&_q4ZZC{zx=l&{3sPlxYcZf_D#96dy-8nv%4664oxE8tQV=IRJSGKc82HJ{uM`yu-{e}S_Oeh+-ijEq3##z?B3)Y+lcPzSocP937 znkVbuOx_y`koVF{sEEjS-R!RL>AOpmlO>xVt)0*AWvpdCEpbqC{@oKN@1=95YT#uS zKp5ZiEWGY!dtSwL@y)=HI@AClJmL;Zgk6|#a(VB?= z`!F3S=})pt1%k?nD}KwB0B0go(&A!m4hUnq_Ts`^(@L)lGeb!_cgiuW@p5-wmB)N^ zPydmWbW^~xrsr1alvf6ahnnN>9>=7c%N&P$81JxxKy5W}^|LpZ&LsDSACG+3%^>&} z>G7SCoK|rb337rOE+#VF**X8>{X7Cw$l8gd~wzKuybBpAUS$b-dXwyr&-@ z=Sn3>a6cV)udwQ$ZQ4}SJS-gQT6yBo&UnDR3)kmi=CN$#3|BWVSW@4Rg`K#^vgEs- z!|f}ii)Wj*6g7{248T{8`%t}_FmDcNhX=y{MP@Or)Q8h+)-d7oX9<&c)G)I*|+BnxoUGWH$A6y(e7%Bta18VM8ICKWZWv1~}g$mNu3I zV=tfls|3QDy8VaJf0b*$|6YPy!;(+$D_p#!;yRUE8r3>J4X-3ppX4iK%$OPb6PVe= z@Xo4{8c3Gb%VA%?(dvj@`^_dcp*~+pwkqor_E&hDQTfnz(JQe2 zA1N0sr~ylP8O_=|TU%f!_{m2Cp{(huqs58elEa_WMzS|^xA8s2g0G)5Fq_K$jYZwc z*OxRy2*kSD{umNEV8J_>I$K;(61$l9oA4HEmB9p%+nrkq8y)mYqNSscTn@e_&gOBRiQyRJ@4F}AXoen!u1n!fPRir+~G)`mR!-2LBXa%eU;2LPj|EsoBy zUd01B{Ov*g2{2qUp|lp!q=&Or>-MJx+4KpZ^iGZs;Z^HO6L?Pktdfq!we3Kf`FSGX zE4JTJNua}9s#=45jSm(65+C$nue0HFQ>Af!2=KmE#h7tP=pHi~~y>eVx*q2p5L3{=tR zZxx&NB!w%iPmUsq1u}mX?A9zzauwO^H@3ie7;TG4af*w|D)&nE4lJ)<kc>x_{E=rBvpkp>Aoq1>iK`oz~fqt$L?->ijky$&RsVpfehhz24 zO&58$Nuj;_K?%v(#ZzA3l?d%$`iYB6h|21ruFUh7(~!$%{WJ69wnp-6_08QtY`}qR zxkFZXc5!(7W2!yr^h1F3CLcsiKUbvBypfLd(T?DS>~bA{pxw$Auz`qGkRCVZnW>eEz7%bQe|0uZ^-I$_%kH1@DQCCLfLDwKfcIJtXlV5_)+&6$b?Ie3w0P z;CZFJC`;yKhERVo*TzQ+zl3~QNJ2#Br8mg^HFqWw&a)nOSTBH}2*YQERb4i2p6WVg z0sY5IIC}g*pUas&rZW8NfK8!pRytv-5rWhtwVb_~Q1}kgOw-zYVs~JWN7n3cHy}!$ z7HFe+zi<9x#5iNp);TrdwOrozRE@KX7lBt=2n6Nfqn0`R9(42l3IBh;*faP4^TnQ( zWepsxUccjhSY}%3f35w@$$uexFIld~EWx$6Jd3}5&p}YR8W>MRQ1-RsRV$NIU-;s8eMIx)18@mL8;71>ntGYo_`0s zE-#oyg9#mTq_>v~%U-18hD&BKvh*#FR`+`F7 zXuJ>L@JY>ICU9p^?z_-cka_<^?x4C%AvH|2Ab zFC+wZ0r1q|`~LyIKtR9DM*Ft3yEg)>A8GO z##_W;i|e62JML#oW;Gy$5PMk9$Az%2$?c%DTdO&sf6V6s!)5A{)Aw6Qd z{1qOY*?3MFL|VAw-OoQvKLtVv=>_ZgU0wY4M)`<+4~gBsPM375CWH{3Y*({d5rV!^ z&ts7P7;(!(2qBu-q`m`3)og-(sG$9trB%iSF`T`delmm*;vIjZ(Ox3Y`hKT>O6TxD zj{nfTfDl5Iv5G=rX+|4s7|-cZO$Z?hc%KFN={Y$|s**=kJcJO^j>LN)7pvqdA{hOq z;vs|(Nzz?TqHk`v(`i6%f*j46DwGgHU{;x7t#`g^tr1BGDHRVPgaE9gFc+XFlSh-& z)RgpSNv}3S2x-J-UZ|Y?y$+Sm1u8G{vM%X(W%@}HLWuQzFGpo44%JL!j)p25z}edL z^CW~2n^{e|7ubFi(wmwPLQb;^W3kDh+EGSr zC~vsoA%u|SU13raCj=#FO-+xdo5+{g^dl#P5L0Zj3mriqAl*<-KTW>?gb>mlKT$~kXd{Tyh)F{mA*3&SP74ue zPWtwj;s7lO!o`p2SAh^hw6hvj@{elA9I5t+n52ym;x})1;;4cF>6BvZvp*+1;30%~ z%XX0$&JlG(59tz7`zJ`xd02*r5aK7>s9It(D#sl4>_ZuM)H{R_@7P3EXqjVmw-=cz z>VGfxK5{Iq_di%GwcV_rfSNRFY# z)9G|F{k3>o9P#?L_}91Bm*fNgJPr4+ChC8PW5rc9!?51jH9`#EOur+95Tc4Wca=7* zbJ8C-*}v2_8p$s=#jj}+(tn&zXRnLbzi}*a)V|q$>(A?AK7E>qJ;k$^Q+t26WqK2s z-har{po9=F*y)^1q?a|^v6xN9!Qn1PWU9{mPA6?oJ~GUd zLkMx6c(Q*$VoI(C2Rn}P?;oeX7k?G&nv(+&FBh|EnD4ek*`yn@Tb+a581)Vz#AyoK zS|-!XADh>XZNh1^csG#te-kg?(!Ed77{gWUO2@*y84(i}5JFrfu2SEaRyhSpE5^ST zE8|sWw()X42?HyfEDm`2Ha$3m5F$Z+pJRTflQv;ITdeKM0TZtl)6o3T9C+^0kD3tT z9GmHR5vNsn9{isFO*mbw?9w-NK9|v?JYcC#TEvN7X(x-{c{M#Ggb;$TH4+ng7)zMCElLI`QZ+ilQ&cF&_s1LOI-3p<=s#LH+@Wi&8AzU5-!H$sR5EJHIsYqk5` z&KAaf)Y|gB{{3JgN9w*=Z|wXy5<)y@b(c%7qr5L&$jjaTM=wizy#`R?MfW}#2eGtI z{){Fe#6RL`A+@@XLfPHzE?W5)Y7)OqZn_@G`tO3_JA@ER+0FuU0ioe+>FP1g6;@*d z!&xDMTe`CmLTqHwkq|t=lSfvyeb&#NjOrzJBOcPNfDmFE%TTxMI~6mT9OTSDO!r+E z--}WA(K-j@9u0IWAcR;&+>I6JuoRnkUiy3J5YLM2)W%8L@a(AplMvz{>48omo%9L5 z{n}{3C|aBDxJFi^pwzO)6;IX<9`6uB>|jv|C%vLCsGJqXb6-z#QWjxQ)3Qcu;nnmW zqeclK7Vt6ZPB!MZdHCbEwPz6?cG?_8S?_G@CtmA%LWl!wpQ__-?OUDn2D6ptWyjva zBV(d@8(YcT^zaZudd;FH4!e+yGw*FYZ%4j>hAR`*3b3Z_xb^-K5JIeFJ<=}j%CghD zfBaWDgVnuF`gJQog1|zO%scold=R z<6i7R2_fdu??sS`x1Lzm25E8!vA=b+So4TlW9d~u2+_~#wiDqt?a4N0Fo~~Aw(xj)f=5tBDX)=oWbDl@Z2c4 zfe7xn-64eN;`>R5*eZTzX9Z#8d78C7=E)g}yE-R9aJxeY(L}k?Q7b0vo^W?P+UBGu zI&Q@0Tp(%th=oQ8A?o>==0Zljj4aO3XZ@01bE}d`%aZnh+Z{rPYL;QCac;DT%J6r8 zJO~mt<8l}sRy{?45w|;p5Vg!|xu11NuKOM&_uS)8Xia_Ub`%G5zfF%QA;crrVO_*1 zO-Ybms!v{P8MC7Aj_aHncVDIll@Q_!kwV#2`D~T)wr9sVJHE6QCNc(76%ayH5Gxmv zrP@h;dFfyB;-%^VwSe?tj{Em42_edPRW6=te};=5%Bh*+5w!-vMAU?kwrs~*P9Cxo zjj)di@wA6urpK2M;xwzwjXeeREq&dH)C118NJoZ$#L;Q#wM3I(}uM zM0GBLYTwu^=R6{o)h>(pHk@& zLX@$n2^6&ws;@d{^PqYtEhX&f115yDVWR8wVf1dgYlbLeZF@judawy0j`2BEC4Uae zGWT~GyizryPB89E`Ef#s5_0RBg3V5mJ}3LxOJC^>l?fhPVA$6!Eg?jLq^N~!=yeg6pRuaZbcD34kF>H8LK^T| zIsh2R1awS`)K}o@vf_BZS`Pwue1CAtfR3egt*1#Hc*#e zIyclk^xeEN*-MMrf}8SyUW^uB*KhnC4G+^on1hK52qDM32M0EsR-`(o=Lb52WcR2n z);7P+ZPZwTFGA(!QkixqjR@B|N0|`fB2lI&idY>L0;k7Op*fG~VBRPh&h+_!*}9|h ztLDfzdpz7BgzPaskQ41?&9wI}v)@%h0yX=cDQvHd9|L8#muquS?9+I-LkOwZ3^NI# zPCAYLn(mWvHlfOBTUo!1g{pjd?O@~%A*9AiLE)Eu$wqt1PU$EdPZ3Bb6pB+P5tXJ> zS%#PW?g$~hVR2nxG@)GCizm7)WgdY_##FS?ISG%g_gsn+@`>Jimk>e{Ueu+QPXD~6 zY)O?)yFtAPstm07dCoo&-j-}@^sx7@ZOH9>Ov^?H+4Cc4538!AY(ga_t@P`okJinJ zipw=`Px{Hb?L?(h+vMl&sjC)8BJi(pTY z?EdlKzqQ@8)vlQQc%)AOA-!fD7QU?tWD27)a=r?s(<(?aeK0dcLOMzt18#M)TsE^S z9|d}o{1WoekB}bozAt3j^3WhtOAjb_I&F21$_f!PusyljNt9kZQtJE0j1`3R7j@~7 zQ)$ADPRgdNHPH4{M`?10F}$fwI*>JC-mWA0)ym(ND*HtUaR)V~lY+^Q>HgS(f-{{A z#VIqlQtcXMUygHcHlfA|`$cKb2qBK3)OjuB`Zc3voKER7CY0|SV<}}(n8Ox9QDU}i zW{dvOm5q@8@ikIeGW3a_Ng1u4(sfTHnkB0B#9P@j1uxD$UD*if6)PqAT2cfzIu%1DLwc*J8qJSP z^J*)KOqNyhaS{~ z^oMz&a1^K=7ALNFER;@*@f2DkZ6!QN#9k1V%Gezy10|#{yp#g2J&e(*co1cdXn8`d zDTQK*79E^1wF~m9);r0ce0vD#1ubJk>vBV3?7aItTp75lN})7;1xSS5H>qsl}`r==Y?^=y*fNP7RJVy!=Q5T)2+9AYyRKdwH?Za3*KJcIgqS4B5!QZ{ni_-t&2(R^V%5%xKqL!+hi;l0LCcQx zlc&}fZ4-j#byB7oaX`yw3?he+s0*>=M8Ikp&AmLobBc1OF z@syT{DQnP;V2@29L*?{NT5heoSlbBFk4fVuC$IB8ZnL|qH{zCRhY&9*%xl@CZv(Rt z?2&78Nz-MTBqIFiu(@E7ogHVc)W*tIbAuDijzfr-tkn1%1)`HfZ-@AnPBUE|1%;g! zVV%MaJ?E_$he6vFOs;kLP7&fA@9pJ7_WkGU_v#ld3{Cl3f84D*;0kP^xKM>{eDGPR zQApGdi=PwX8LJjjA(JTixBr;#iEWJA>YVPKxL~J}yYttY*KB1iMuNK?LOkQWF6Y|F zhELNyv5lyOyv@GVeRw{291DaW{ z4CI9Qg4=p2X~Oqdv~U}*eeb=q0U(5E<~^v)Ic?CMCCoYAWviT(m7tASEa9|B=MQ!g zq_Y79!Jci7l@AEN%OhBY>j;^`0d-+(O3*H`mWts1^7U5x@i!79k?s5Vh7sZg z?|bq?8kTQ6qD8KUT+|v8vs<{m-Y!${YxBPGY=;o%d2c5Mim$Tj<1sQtBgzB@iPx67-QzNEOyf7>`jOsC?b9t@ zIPP``ah$esI@!1B)p`Q?nyi^CfywM+o8rkfr9nM{RlPi&JlyRN;xz3Y36ihgF>w5t zg?tUSl%dgcvJsj#uE8~xWS13Z)9(;M96&*w&hGn9rn_Myt9GSBjqY>?X`m?9{6XqIREC1{`R&-mC7LS$LB z);PhHu=M^il8g>bht#~%84Lv2fre|3MaztAnVSVIx`a5%x;Bxer9jA{p{I~>U#pL* zaix=#JAht_2JQqYtD(F)4hjS0kZOkz2WeZbIt}}KFfSf$B$CbcDXht_yg(b@^ul$Y z0yzt$B_l)#!H{<-66KM1_c{38VA&%1i?F0%a}4%DG~e`&1L?x5*{u?_({0HiLP%>i z(giLnkwHI#)5vCD%a7U2x=feUn$!s3d~cRtyG=&WrWQRyh#hP~*;Cz`tYAKZlYC2? zF4K{ZysJ7Co zDCHnAOvN8mJA^nyQB_$c`+P1dhO8QT8aYpbqMnW==CwiQSKquVA_%do4`oIvAE|t} zSVNEyXJ`{5o`1&{JCJoirD=}G)gDLmE%<^6?DFz1lv$&a2v(je65NufXc_wkh)% z+v-Rayoe+XlGV`Bt%VS~`IMaCwIw+hm*=RG48f|$O0y-@5!7`$XDOeVJO9&~04GAo z2?}>r`MNK(Xq@LCYZ>a`v3)e%`eP6$GXc9!=SWt+E8?4Wzm61ln-HRoZCK4%nVG&@ z&$4{*S)Oksl}?h)(n6(^c-TY8#Tu<-hO9n%^r$4nUdAmaIIS5MSV$`KEOWn&DU@Hq zo=8Tx{te|F`O{-GA>qeB2M1x1W*2<(mBtkbl{1#0}G{D*u5pqidY}BDYxLV z18Cow7$Ibk)vT8$ncJ-3c!8n3+=RpWI|6k*kq+4`+%P1gYj^+1Dm+4nM&RO*doz3Y zV??EMo=KZRWtMtqe1icy@;i=fx6{U%?OkEN2_Z^YNhO%Bc^>f0_5zEV0EDqN01E8R zME*``y(g)IvD}%>o?P98kc^G=QaqOhR5};Uo5Yism;s!)CxKNgOblA6cnjUypFB9>o1rf{cok%_d73@mnEO98Y_It2f{ z^&Q87^mZrppQa-lAr`QeT8mfdlc{trvXs|3qD6p9CwzfjQV@7F4%(bQ((8o~8<3sH zg66dbY@{<1xZvvxc1$`YP7P_blYNO9*$6StOuFI=<8&G@k`XwPq5zM66gh*1S-#8S?_y)Z=ZA%^Ov1*maiLuRu7+@@$&MJjU=L#RvW!xO` zBuK!LP78&5o$THcp*;&91J0YF&B0E!+#`^h7mX05ii22TQWV-1Pofi{5)r{&XcgG{>}s zt$3Fu^v(_IbP&=Vf1vIIc8qW zQ5nkwZQ)n>T^n4$hi%8b>87I?Ki3(^rew=hm2k*Qoe+0fOU=@Jrc&u#1x#-zs$Yb2 z`$!wKP8KaH7XrWvQG|5Bb_mbU3Obu!=MFk9t9{b7L!E&oT4yjjHJVMvUhrs#kPdj1 zn4ZNfotbXD1I+Q!&HV`-99=uKj!gBua^zhK$|b}}-elwIb_+xLOkZa$B(i>{KGtqU z>SS1=bp~l6c8M1|8F=O1+=P%iv9$9Vi;^@VgdNh0$SD`|g4v>VHh8Yp(xYamsZE5C zl#zV?eWpunz^oKzi2O@F{l|3EWw1r-q;bzOQMt(q!8LbvLY(5cKI1^>zIL4tnZVoh z3l1LY3@p+*gEu_cM!7)Xn@xx|R??XgdFtATTUhkvUvMr`C&M1CBU!pNJ=vlAG$Fd! zh7z+f|3RPW2F$LF=Gj5kD2{c4Ryxpmaxd-3#(cJfXyZvbKQD`sG+`~d+zx^_(@mEo zh60l`WdE!a%BP=pb^Hmj9IVKFO^G#N9qe_g zGOjpt?TsU(SIp&SBTWxYxR=#BPDkG&TBnn}PMR7=($dKnoe+hfr@n=p*x_E$7ZWVX z@q$KI1XI&3Z$2%rDNr-ifBqm`tciqen);0h0Ml!4Ft=oCL7f6(7 z7Z$cb;;SjQ*%7p{5u%Q{oWu0)|IA6yi2tk19E6Rq>ptnwxlTt%gx^xZy6Mi7Ha0>O z0pu+?n24dvN8R1ANLKO^1zwyl&f5IAP;_Tb{2R!|rO}U#5Jmi-_!P`>d@0@$TTzHD zP|i7DP;82IxTDNJGOjb(!=sIj5G5>v;6`E|?j|C`LmM%z6i#E!lYY>7i_R1FLQOhq z)+5xc+5@4DjSv;cB}Gia`WPPCh~`^Oci<~ehytYRj<}nY zvRgnASD53(o#}?R$4(1dQgcEUr^BZRv4htDK5A?QCtNK3Y107=CPo~$-v4G(YrVIL}qVQ-Xp?XG2G+1K9fuw6ndUvT@WtxTe6^LXEc&OrMiSy9D~XW#G&?XOb((<&;Fi&(U#45G z0`Sf1^3de3Y(6$-yCtL*VSr{s%nu$IsnZBN$Fb;q*{_cne6cz`DU?pg=6dKZAx3$T zns$OSuPLyDV7~SABhwI=RJP-27&+%n!Jr*NS|E{XIUs@@Yb(kx4aeKs-2$T%yUq6Z=|P%m$)kUAw&AqEiSj+zSaY0+5HkHsyA7 z=;7)#GfA=Li+>=Pa=Md32X)FIR&*l#blp-y{9rr86Cnq5nr@DC1iT;iwZY&O^vUnM zfnk1Q4AET@1w#A+OjlAeWG0+u$c5^7w3Uo77dFv(1J}9t2K=1Xoi~*b4_F5>({1+^ zhRHSKO;YK25g(c|!8+bm%IO+W?y3%{N5N{=gh(-xEFVv&>1KS%4X^OVzJ?V#5N49i zi~>0?Lr?rY2n|A9Dgo$OefRn^zP zg)=)K*|OlS^sf<1Fbet8P&*&wA_#`eP(Vm?hUv6{4<4==6}~1DC9eD||F>QRHf?>g*PeO71_A%YuIM_N)gw%r5c87Co)iK>|cO|%Ou z@y}&6-rL5Mo0L=cIdS9K#;d*ytADcGIAwu))0f4ErF(-=%4u5Mn{KySenT&q=sqD% z0hGC?)?!QFK0@qcQ%rMcikeN^3+N9wvPkrj_ z1=5|*d})i>Etbss@XK_=6$5G=gPs%;g{D$iQJ0WL{FOUAJq}P_PelHCg zt5%SGt*|5t{}#^Jv5t7YenovqWhG>NH$ob*%;rn;nU(#huf*4pbQMya)P1ve>(I$! zZNw|;7Cc1HKkZ%37PLaN(E!;Pk0VGv?%n>B5FLd07A1+F`CEK{9fimNO;;3-Z~Lth z)A@VH+nzZnzw*z9mK;i{BgS44VKyzp^U=H0h!>-cCd3KAT+@ZMC^x!q=C}Fs+%BDy zuoscK=PWUP>CWP|5l|ph;jSmVDdkr32Yh~pJ@|kG+1Z23UNY|%3xud<3npqQPP)^{ zwH#G{x&Mm=9O|5d*dg%{ExRzdO;34?Uv0T~=%8sG^9DXX!&+wrHMg|ovfLCQSBOB5 z>HMRM!QeC6(^obroSa&d#G%f~|8hEi*Sk1fOOA_W5l1SRf$xav_DRTTK)9u|t&#c%? z3j=kx32_NDTs&tA8oll3AzJCMx54>~vrUNJUJ5R7BrMo76!kx_cb=i5gj_&20l&wp=W)JLm$80^-#?9NRn`ED z*np0X7G!XaGm{{)-$_2{U3f1c>R93GL)hvk-JYsXqv&0UxlJ;i*R7Y{x9Aa~4OLWs z1!XFZrU-6!2)TfCMgbp{PLM{wmhrCPulA1Bl3Pg|LlD;|A>p!gO2jwhqG3i2aWj1@pP$-7Ok@YKqWZrhcB%p+xWZ|>+z&R0dRQ!e9p65-@5^2FHx)xA# zqv`f$fXU;E5HQotCd5v>i@DKCI9p+>Z#36Xg3s0&a4ZbgblU@VLo9N45JC=lMW<7* zNj+#sFTfEuCa%h`kfpvSZj>Kzz-_4p{S!!RS#P{uI}p+aZgn6E$@4I87Q!j%HEqih zUpc6$%9@-&3s~v+nKGP^*1QJZIza27tU!?b%e28U&!f~We03#&iw9a%l~bbR0Z(=a zIYH=au%|BeQ=^10@86e(_g&7}&zcp!a()Nc>t>JoT}jOop6n2Ez^msT&>ASSqZH#d zo}U+uLmAg6pI69Ja6rCHH@ISorNqho9!?jF?QuQ825_@ONDZunJ-I|)LUOm|DNlJM zy{3K5N|5jYZm#Wet9UJ*baOl{%}0nVw~#a>*U05j7-a`DQyJT(-;ssQi>hXajh4l` zgrzeHfMtCk#3ZkDBT&fRSc=K=M>5y6uUQFFW_gv=rXy;P<8;bW;(799hmZ-r1f*^V9K(5i| zuq?FAq@r8 z>>~F>@O@F-xY$r`rnFF6$6(^Z^uu?iTTO@!NExV!UXF6=cm`O$TG;4XktCdeOYMA` zZZ#q1kxOMrv|?5M7aag&VWkUO!WNr2*{6L@tw%^hCQSQj8zT6*{@k1fJ&L!};D~0| zOZ6u=JEZq~gENO{CRqX4m2^x4z*%CtD6(_!2XA(g&-?8WPe=oz?D(3y9ee0OFd^W= zmSUj`TLQA#DNPD~yTlW6mG6M|HOmlwCtyp#JXl2VZo0vz*&=-?;AV&P9CXnsfjG`f zR{lK58S^xmPM;Tx#p~{$#h*B3wRnAdP5$C7nogglNLoSwb$NznWX63l1{H^iWN9(#qo0S zdpZs48>#%az5LI0)nqe0@U4x(0?_uxRz?!9)V=9O6JnAPI%6a#tzV^57)P(MhBMV| zyn3BKJ=Sj=)P;fr8YgAudx+@Z6^!bCHr?Q}BquxYdu8b<6(L>lfzB5kk^e9MmvOZE z(%!9|_KEVn&*3h|4b5{Kt+fx5NgC(FNw6~uTR~JmQf%0t9_(fbIfqnbWt4K8GhK9h zC>(#hMbo`zxPZuHSQvSHyz_W<6zT&K1QzRHsm+eZkCu?jY|z;vLpCKx^Z#M0m+|s# zIttuTJ1NNu`fk24HD;OtMgKz%a@0`#wq^MHZ(Bhj%?(QZvobS>s`K3r<|lq zb{h=|(ZrL^Q=NNU_bUu9a1$6qdHy=&`R=6R3lFU3!dWg1c(~hs=K3`}06LF*LOX>Sp zr!8#{;A+SIMa;Xzlk{NIN(jd4SePk51Y_4%;t88oG^)nOB6C~G*r9W?Lz4D4A5&qw zGeN?hBYra;Ot+bku7QmLm*hfFo`%@JE^W+u{&?KUT2~EG-q}@WYRs8H*zZg*$k%XS zuqgcrNY6-<7OD}QHF-SpZ6?L9)1r^!u(PJ9RNiRrqNNSZOklk;LBdef+&-H1%W+FI zAt-ZYqO*3Lndx3>Azn=P`)S_dR_VSc_bhE#P^EC=t$GXK_u|%cn+fTb+fr^RA>B4v z9zx!R|5!ZL4T&c8j@UQ$xmOZl1nvpk$XO=wX1KRtAfyE=U~)7P4S@)KpG5IOTU;&5 zUJTDoFmft-G{8>Yg&RsWDjrAkXE-+9WWH#I;}nZgre+ zCK%*Sp;(TBx#>0&(j9ZvVsqFZrIYZpiozrR0>i3kC(5TTL>{6p`%X9$>{#QEjQI&j zj~J;Fky(D}ekq-l&GM-}3IS+gQB8J~9Y)qaiQ8(x8uiN!XM#cMB>_FJfcXhXk65b~ zjvuCbWQdR7qe6g~)j2gD?G|Nl!RP-l-QuP!(dRFMU#8nkNLS1hN=MIKrmwPH&Prcq zFiub{mF~NZzD$qGd0_8J(+zG;h$@{RaN{VBkoKSx|H|a){fccpAC+>%9EEFG^3TZH zg}^*(V&kE5#hGA`I8TGwK18qAYou2!F==*f>Nq49^s)Uj%jAeb#NMx#29G`-wDcPG zmpLers404Hy3K@i!y`8Dugx7hrJDiPzp(>l^@#c(V)V!Kh@1d@^K9(HIi_gmL}0Nk zln`}nv6*pg;xLI}g+Z-z+Iic$6Q0jgt-ORwYZ~y(Dj5fc?2uldD)DD_6~-J?sLnH_ zg0WpLZ40RJA`qq<3=v{sqDgeM=_V7>1$Us_x-@Ts;LUV*EJEGLs$}?LQ4G%vY5DH` zaw}Ka9D6cJCaJaQHWQ+sSY?E$OD;y*S=kV-bIh()57uO6MT>*GWr6y^pA8MvqzAkN zN_+|OOW0+wbo})ITgcGI&9@r{d zXV<#QoM*vbw5cw|h-RSWg971}b2uR|3Jq+5V#YO8A z?mjPQrY3%aPKk>=neL4}NW|)xEsAhwBHi&AZ0MtbHns(84!%m6LK*6d|ABea~DtfJEL2zTZ7F>6RHmLrLvq}D5!SQ$V z_==E*{K6*0mFdE0or0>a4j@)@^UkfxoSUkWXVFegKoZHKk&g0gRP0jsFiL^ zhm!+m7fYyiireM55I=_>?TY&@j65+SjgwD0YI#CE^#b8&M+v#kN~IhVPM-B@L8`9K zo-4+7`A}A$E+cumax+M8c^iG}9;R0`p2?!RKnS=OJwp(Pwj!Kj6doUE9bN3n!8qkIv z`CGUHR?#6D`N(vW3DLn^wGgA$*%8ZZN*bM$Z=&0pSn9e^X{b6HD@I%3ayZy<-xu*B zsWsJEe?3AjF;XqIXki=VSzgd_ZK|)=`4LaY8YkyPX#@{kTgT-^%}d&Yrq3)nS97_y zgq&f6&iZRp#c8piintgI1SBYMH7>(P;rp~9y_3oao(FVKsP5L?^ATYF?;>!qr~@Ha z_@g}7-MOOn8koxDP{U;T_V=AA&3IjBY#S>(;6Zn6Zs(Q_%Molg*5clDiwRNB11NN^ zeBv2`~oQ)k< z$Fwdtnj&SkdPnogw5Gh@?Y}BG;F*Kv>%_YKJq-dV+1zxhM!6GW5o$~8q_}MZQNbtR zs#GGYtbbnddSNXQg)c+YI%5Hxh`H?z4HF`xoWS%1#5m0gHe`C?1*@s)&C0CC{_|BeE=wJ^tZ4*C# zP-NqJbKO4H$&(%;PsMSQA|Xd4sTY+?roI=WieyH#wKMWIEs2mIf}5aAquZUlLtC`h z&`V9u58<7c!9!H-xUOdjIp9sba1wn_W%IEgzN1 zb{e)=#V{G=rBOF)j7+zf5VedoINkO=#^6O_$drZFF7JafVRSd!oy?LKO4c8UD|f$Z zw%!KmQ5^tx-_c&om5@%UOAbZc^n9LtqvvFbrD+@u%O~1ZZtAoIkEBCe{M77tJ^h3S zv0wrCSVZ3q*2FX3wVXMNUdI^BWyVu&7NM2;(BDgxHGf*@ohF(`c;To5J2=vJns`N2 z%w}~6A^JT}Fem0lb#-tyY3 zPSRY(biWL;0EbHGN|?HucAAm8xRqpP(DkUv9o#?G84R|t1(xY_iASi;H(g2x4aL7) z0k2Z5O_+Yq%Y9du3TP_#^jDSRcjeV~&}t8kbtKX;Fr6;(h-GUDbAm)r{4(7$V=QD` z$Mh{`S5pm7_!4Q~B}+d{HI;Hw*Vv|ays@pMZHK{!r z-4xnQQt!M~dPf{>c0BP?3DHOK*K~^sQ3YJGz9F6*`^u1PbujaZ=wht4QP}O-PQtC+ zc|@XjvJls!273~@@-NUZ3KkS491aWy}5A1ciJOcZ3r|p54{Wc@&*5;N$492}P<D|xU(JVA2+ zp%)Q-5D_50O9x{U4P8w{UE^r2iO?o7==*JLq%S(AAc~^*Mee#b-8kh7LZP7Z#Z0TF1C_bJdcsJSLc$T{n z=snk|oz2MD*}h-$ud5#bV*o|Yvj^mnb&>R$XT8Ek^esdCLSj5`4Yzr_7;4U0aOg=b zv)_rQ$yJ`zci$Y>>pC2aq3H$_q5>^R*!E^hzcxFegzUB;bN~B;b`Q4wR0EMjBa`Yo zo}|OcXl#uwmINLYQ6*%9=SD{9)n-SgYJ?p*ls}{5aHpG;)Kc*~tJ{t8jvHi!jFri^4U<7*snpy(@%B0+t^WLnNTO_)>r73MxgC z(UCdf&_^7JG9puFC{I30J=Z&P^mXydz({&Z0KWFK!5#LMREG7%loF%EnS9)~3@_V7 zSg0LsyPcXDuh)8KjgGNb&J?7dtTXx2{LTM^2 zlG}v+vA`aIjDW^@%k;3+NU}DX-9*;>K%BHO*fd3wxD7n z*|WT(6D7f$0+1K@K?bCdx;6(hEk=1u_4~91!Pw@J&<0e-I-!@NM0}!oDVSXJq;3IH z=?s3G?yG)Yp#jNG)GRkWt{#G*ZVS_g2*jj^5_Ma?3JvMA?*;J!WThoUkw6-gt_A*! z6et;vaAZ{Cnb>c!K149>pJVU{%YY}IO*fd3cFeE8=6g~hvnosY69hf5vBAl3gc~Kw zwo%?#?fD91%f7h`RAVPFpDC7*mOKI?AtCpmL1#*k?v#8l4l)89&~q6p963XOz3nPH zTM+!0e(9ZMaDxqPzlMkS2P6)HvZ~Z4GD|9~wu>hsy@X zRhe~M2yOnR~B^n+~Y0c|RMl z8W(*C_J2`}r3txJa|hN9>6MEg@r{26MZjL>K`^G;iM(U-EaAcc!fA;bKV>IVP>2#p zdg)u|&c0xNft%!+=>`)b50;tWAdr3~cb@F#Va8QPps6X5)^2Bi*+g2i6_n+7f;->c z+1|iGbSKD*kRwoMf|tE-kD+e|WnJWnq2B5w@gxT`6S#lG_5G4;TMB(!xi*j4FD+88i!^PRA|}#c$}RLO{VLp$2}ptW$F#~vOgYPAd-zw zcOkz&01_cujF(SG!tbN~zG*VKd7C9?fsDdVr9YW&Fd?#_S+$Og96$enr$)(^`hGco zB2q)-L*SQ{WK|t(2`#B|GQ-`2pKb+63io6n982FvNCkQ>^XKRa|5ix^5U=W4hp36s z!_+|Wbiaej$*%hRbG<3EoE>Y?o zeVGc9A3i3x_(yCUyl{Ucy#&lxDNcn6#4@>uv-O%k9tDUCQjssy*&(PPTm_Q`BKSIenT?c4$)Y-Z zP&-4g|H7{b(bN1yb!DSg=ZO6M5fgu+chF3_z8!3lz5toVj`QJ^%v+=#c0X2f3HDg{ zlnmzrKT(*Q*Ocp=>ViJ3T2c@vjKrdQ96Cpc1AKx$&*x8JM!=M*$b$5pHuR6 z5?a2vm3lE64PyQ?bbr~B0_DUB=sHatWeH}oIlr!yaUCvkeBHm6upjvt=XjdeFp%)I zxX4~+(cQn?d0}Qls)i)}XC^k{BnwbpUP$?i)+8+^Pjdg;|JhxaH6T$~$Il4SGo*zO z^iXVget9sSXvDT3?w_Q0pz`wXg=@*#*fPR1UJ6bCN{bY44kMbeC~60aqn~OJp$GP+ z`Vck2bbASr0d$+W7}&T;C(MnUH=D~z3gA$D;d6xOX}%BQcT{^9Bu;_O`*e*#uL}?M zcch1awYS8@i!DTOBP~sa?#f}b2Ka6qy^at)&3Ck45ko`tj_b(^oNcI=d4%X`wzWhUYF(-GSX41|+eZUSPvt|%0qG%N?$2vW^zCgW z18`hbI}+zvcc$BHh%!H$kY1gfLF9Hjr_F3Da8Nur$|C(^1D z6naNnGU{7*4Nu?>u!pCE#C_1hIM>Y=qgJBCLAA4$5S|{^5Jia5l(UT}_dCMf(mSYM zis|+eg7Xw$E6(dz+<^1ufJgm(R?J*N&Gx?HeLU4ybtlEqa40l<&UAYT!5Jp6E-?Qa zTr&6Qk`*e>o$Wx`rn8UEOt;wrYI;YD{t2B-vV<1QaCJ{d`V2VX8>xiSY9}F0gmb%{ z72*P%f0VK!VLeJc&lLNzRZM?O_Yh|RR!8KUM4SVyiqq`$GS7D)D^A?n?PMWJ0HOzl zbsDl7X{q*B;$HC1I>6=)U8jk2q)Bdpe8A0K@=bmwDj6;6luJR3`2eOLcGC8vhn2Q6 z2!WG1a$<0?b|D!rA$GC^RYOCU)KwtA)7fz|awj=X1b4JIg>{;ttNc#>P+m;;4+QKb zU8jk2=rSYA_;nQ|Uv(!Hs3@A;ynD2Y?6bhr*Z~ax-E{vTz-1sS>=5TblO;D+2Gf?t zdRNp=QvDI_sDp>xdfCD`y8%S-6X_a~Y%GAwhe&sf`c9I)9l7U*H zn~p}3Xk}Z=@1WeLO$;5{U4j8Smvg`qVj*L!e0A9T%A3+$FX>Zo>%y7)TB3ul9dLKU z=aas$(VJlG#u{dj7UYG-fg5My8p(SLyyVE)WhIbhrOCUtZY$$CfLs6*-0}weqS!VO6j{K9C4!l z3-+#;b()CFKsnO{8k6?2oA8nXB>&oPP5oBIJb*9>$v2_YXrq^)U|SNffH$08~K!0-Fr6OUP3U?XcN>l zz6o0vDi&7f0-fe<1aLs?87H3Ta45*G8Cri1GQ_&Y1*K~Uc!Dzg$%B|xPxA@a;!J3K*OP!5FykC~~#6}kRk)Q}}RBm{Z zEtCN5KoY;zX3ja-9n)+~UZS@8xa_i3})neB~x z9pW|MoRvGdj9N<#VP)>JF2?$L^JYI>ky~-MAlTh|9?u~X%n_T78b#)!oIg)qO3qjS7QX zakV@7S6Ulj|D4EaN=U&9oTV)eE|Vf}t;K~!ffjK!Dvbw_1-O#Z5JCh~{6#AKiG{L! z1-V~=eL@>_pkPWI;uJ_ioMflc=0LxyEh>#oJ_S(#1(GBmw9=f@F@;<36h5T;o)u2d ziYPAhVA*-$;0f!-lj-&ng3w&+WK*=&%@QM93vwZGYl)0N7uU>@@e9G zzoj}a>b>hc*|LL9X`UQ0g+408DX{dmt;=9GKSnyDSe7P#{)>{nw_{W_swq}^;29z> z*;eGG!QCq&WrsR@b)SY-EM;;QV9E>A?Ii>O^GFq~&n@4f`<-R1qVKKv#2d{NY&-VO z_7c7G2fe}uTq&KS$Wc&8c#A?t-@u-jZZ9DSU>rny3-YSs#JH;$h))r}yw7~gp$Glb00#3bd zLc)!@FtaJvJ(g6h{RBH^%_fbI1~h-O(`le2wtiJ!PL9GrH~v=98aW=J2B+<%FTvS@ zM7t;Yf;y3{RHRtiZ^Q2AtrboMF*rS_b%;xVvGr;)y1chhIzp65Q9@(MOg7NCr7dpj z{^td!juG>r#NF8xo7wWkj12`fV({eC!lXWgoCTSbfwDYeZH;W@>5gpSg|>i6kdvm` za%NzX?Kx?h{{8I|yxf-}Z?^IorGcY&7FgM!l+!G*L)-$Kny6ejM?3^?yg$u~pT;Vr z07(`K`C(NUq9K;2rD<7bZG;vcSp6UJ@6p*-SdggzY&et35{Ezw9VlB=wMdR5_I??e zSeZ)f)tI$p$Nd>+g6hvF^bPxsKZ?_c>JJsJn(YAFPOU>6!kE?>Y=-r@-Ue0sF93-W zbyl2G8|JIY<9-2sMB>(EY7a1bVweHW3u+zW5azVb;A>c>Mrp}^R@bP8O-EXn`$l!$ zMjL5%8V0)+EUSI<4fNt%cxJ{<3^TB{8g48h5MW*xrN@?E?J`i;=-SFQ#|AAC4D=<~ z@ed8x7$LYZ+|J6XJ3_%KCcDzu7;#Hu=Vq5+)G~~+$E^N5hAr1kS64g*X3XJkUMNvATBP-hicD2XX+DCn{f{VwT|)lB0`!2Xq|LIYiPo}xOVkJmTn59j6jvM`ycZX z3NF>-$a&F&WH!?F3J(w$Q$M*NC@F)E0_KG z^RC)8t2yN{;0pqlu;yNeIK%>rM$?q7e{-AbjJ9$jDJXy@kVL^Pfy_%V$lcAc2P`Y> zUyGMP*(uM9(xGSosCBs4Ar1k&-N_WzwWivPs(Z+je_OAJXc+2PZxwwB23W98hWrxe zYh0%CR1`M)(DBLKE7rhKx2+?j4WJL3zMcHIoZv0U6T4|GkTMS70|QpI9}Kqm!)#Nb zd{Mp*in#5zgv}dfgV1C7CPWL6))6{)^1teJb7ZJ;i3*`F2k!=NBaQBZq_R%=n3~c` z&Tonml4zp03kKQIk7dB~~!735ytsP#AFKfwEu!h=^Hifi(^tQBZ3F)vxck5JWVn5vARMZ-Ee+@aPX{$iQd84R9UI{sXbM} ztI%o6=HM1T=+hG__Y`l%E76X^MKbKdWJ;|={KY=4lUQR~d$3ipKVqyfWORc!t4nuV zYng-DQg^64liQ4y8QIeF!Vb2t)H=jpEYv!K4ep(Mz`l%87cvS-&x~$E+AU=SK0W0r zUcj_w=UbMcF9^AST8H?{)W$IT?YL!{f&(5^ZFg?rTQfn{jt~4ns&+U3f=bF=LFnJX zQtJ?ZnP4-qtK=?Gp?1``7APtRiAv87J#DQkyxr*l1x( zShqghsYv^%z!s0+R!e>a*I0sbUg&Z+f3Dr4h33hYLVByEQ|l0avC*3#V}H9_T7UCGBbR*`S~On`|$ z2kF8FT|Hocgw8<_L!w;zg5&Hd9o%LbuJ8EnY zYEe7XI>cYzz-ecoiFsN!RelA@KhF}YY24|Si9dI|AWtV7-7dC>uk{mQxB-jx_2xqEUfiWk$k83Dp>K^bT>d4(Z9x13Es83BkVNIddArA3s z`?*faLeWmAmQ-{K8b)TYnNO=HmMi?hA5d3Y#94c#lXIiqL*Ck)A%wIBljquk#;*~F z3Ilg?Fi)v77r6j~bp~l6MCrW=G1X-xa&(>U4K%s?M zmTQe;;S4Wu-p_7pLqs*3t2C+Yb)vRmVBITbnI#SpgEP)xY0NYWb+x=~O>&L!PqTY( zfm`MWKn&IyfW8E2*k#B5Dy!TzvHcm3+EvCBd&OUs-kcDvd}32em@LTr^H3|fqd@PZ zS8C=}Fh?)U93=_p$%)p~W~cd5W4hg`Ev0D+Zn5K5HB}1<=>#Z# zr6yhlkehAVMA|%dfafM=mNjXuzLuMv^xG=c4tRgfIfMvN2^cyad>U@9x`@##-ePn$ zSHT9nv3Af7B4%h&m>kyZKrj`u`%FqAU)3RQz!% zc;^F?Ny%qfS*Og~itx)+ThV$pr=Pk|l?!wO4xQQKRzfhqxn+K@Gsw?>)gmqhibU`_ zc+}x&Sj(sw+2)u_UAGPcCC58z)DC(gMy*3!0z4+SLhB4x!?pny^*-f)o);Hk{S2rP zMvf;eBgRFzNoD;rhM)2=LeXxAT8H=yQgmy_KbdZC#&?n{Km_f>`zp>$ycK#AA(#y( z-I1aX$E*V|<}-5Yxd*C@Y}7i$XOM(XyTz+D37=l`h*2eO1vk6PoHwvNgLe_ZbB6Xho_g-t4+Sm-V0bO-2NI{4VDrivtuu)4m4=I6ka+mDm<^}MW)3|b z-^1x?`R5=l@{R`5iAEj)ATG4d8vK z6^?&E#q9&?Tf4SrJ98`nlU1{lkZYiU3Z~n;#}-V@duG-q|2u17`^GP5e$8$kTvuC? zOiaGkTYX>GQteDJ|36mMAWrcLOsWLa?LA;wHm;reIX`b(VL=(+>u?Jsx+`M8xEMcE_-xWGkYEpA8r7rA?Xg6?w`n!O3R z05qR$N{Ms8M+im2?{(|E2ipj~;`wX!2XN4Y6?qAckj+z2Ilu)XlDhL6yd$*^aSL#6 zS*vxjES<%?$2e;g+u&NP%N|?G0(}O;E?2L!*3parsDG$XvI~UnE(jBf{_IH+#cOl!97^xW=?;B!B)H)9r1{b}A0rexge% zbFgvx|3KrF$yTYPFiQ#CWbdXU#jC z+J~BP-(}zIReOa!tWoY3wy2T38@qmBO(F{j6&D>E4_-7|t(z z@iewpf#{GSnr+&hQG0KZ94Gx!<3oR_{I}iFPK2CfAsU~OraONp3?e0;qq7}LSK8-g z-Y7stjQywLx@jJAT#c=zDcFwr0=2J+CQ%{B*h2 zcEwbr57ccs*NvQe|8v?la?!x{fQ-pyzl7c} z1*P%s(|4xZ3{j{ZNv+eYv?yYxOmHAa6(I+JewvQ>9PRTfo%F|I;H;^A3k=Fl`dJ#- zwz$%9Ev~*i+mXsb-Rw~GEx@#zQ|>*4q>Mq|9MkQUB2JGSM6jO_`Md^&7M!Uw1`TY{ z^^rOnH`8rK*+{z-q;|R61{-3uJ`uGJagV2505qLEj#`pV9n_q+c#M%KrgY)!=&&e6 z;=seXL&8MuNamnUX^@Cv3|?M;p9xV7np)YV^WQq(PluEF{82Vsn#`R{LE3oTZ6qOC zESyx;o7+}N3a;zf<1P6`h8^^o5XCG6W?^&86kp@-UA>n=oS(2uC=nJ7YzgNhqs{`P ziLr;B+G)eJMH{-{aU>ltA$3qsP4}!K75f=I&sW<*ZR<|1+SRhc-l7z@B904MobBug z&sGu4h(QA$!*z&*K-EM8Ctas2Hc#d0gSa5{z#$RzU>itOdUiE&UAx`RmCebrc%_=* znin7;Dc}m#N!RI$)v%n_XFu}}xmP5g#i~VmNL-F;Q*PXiZ_IW(vT51gE?&FoF>8@> z!_EC7={q6ldStr2Z7JsUdE3McQ929}O^5=}g-tk=g6#-2Yt23vUzTamFfXFO>%|db z3rHodz=!vIGrdw;2k{}glDfJlY$Yn5xqLvlD*7w4*}0e*X9R|zcGY7-R1yW4&+B<< z?F=9H!G)zZTuVjt-oRGWh3HLCy^QljK1P@AvH2#Zap{rHdQ6By-oRPo#rfr8c;0On z3$ka3=pePyqC(h(%GDQ;Ry)bJKF?k@ZhYD7V26&=#7VGJ!GZAOMgKm()CN6c>A{vd zUZHx&^<(gP_UuuvB<)*)P6~9KCQh;er;hJ37SzJQrPS36r_D%>ktnR=xGUs9BJW(r z<-(#sg^lz|UKk!o4?&k~rrWC-T$-FWum!=i2YP1(kC+#B+F8~UDbBqz&Eu1^8@s+^ zBzs@82!rDN}64 zCOmLryTAsnopRmDt-aG6=r+kC2kMQUf+Q_?4pY%Qh%U65iPfB`7jLsO- z4c5sw=mC7mSTqx9pm~0|dr$W}FK{(CkFtj)3k%dFn}7UN%>!toy&Lxb+IfcwQ3E(< z#JA}NYvd2SdOcq;r8+y$>?(fR+2F+gBDgc%W_7%QiE+x!@5u;+33#FZr}O?2q6ReF z!qsx3O@K@5oHww&m-0arx+nC&VfcUro{!9{^!yRJN+~~nViZvAMHe>WDv0Onnd#yU z;80vnU3~)Y^v(#*TIWH8XdQ{lLiww3}my0+-iIINUKiV*+4>3_E@*wzg_FA{WsbMYu=E;jeEb?0P zrm)UQBocvU19sq-GX%p;z4VDBJ>dbIE|*KcJIrrTYKZgJqQ7TEaTVO+f!^6<{ekw% z_of@I0SS+Sblmn`$bX=(@BVTB1tR@r26=3riL3Sj#D_c`v-7pdqVh8b-x6i&M)w1F zqP@XrhUajN$q5PO5Mh5~;C3yBh!fle`Z^JQqd!J0r8n;GXbp@!#0NEyK6 zdcp#HynHCEa|*mDQ}+D#LPh8OD#uFt4Sby8nHN$4mImu$?dm)c^L05AI&7|#DQxCj zyiyLHG&ZBYYymP8q;HnDCI`|Bz^v20W+(Usii``XUFJ=55sTpVx2q0qXrzkI{*MoG z{?qlXA3B(xDsa*h0P&HUqhC!oSP$T=zvQ|KWf^kRk@^))lp1&!AzHBw18g{QD%Ale zu%tBB?Gq4W|WT|%p>Zh3p(i$ z&0TQ3ss(ufn0xzDX&oehLll9QjybfABv$rb8-+$vCp)F`z=D1}j$a`CU<=L^ao%It zU9gP5$te6icPY5OW^SBuDI@inJagxInEpIfQ^p_g%ogdm6l)Fin-0Azgq#5LM!K}h zcNegH@Fm0g63gN(%AY|HxpMLW#^Z|~q;Nq4ZnA;Nt&VZ_E;PsMeIw}s)AWsRSc_NG z&p`bFPHS@B!~sQK9FFe932`E`u=g`Uw8p5kmLd;4d){cmX+O_aNsm~Rb(R~>1|kDVj&8}zOBZLNj&|9r&b7ksHJ zh^cKJgJ_9^1l#(c4KT4%`h-_aLzK(oS6gkbgfwT0dBXaZ@pcV{_gzd(pd4{$RSKdv zJoUnbQbfLi`ORm!kY@0?s+XA%Nza&r;TPwVkU7Z@+`DO+MBSH+14VFX$|>#NMNX=Kx&4pLbksZlP~Prc84s@v$lJf zKHh@E4{63`e3AcKH3&^e&!mJsPTw8TIMs(FK3TU(pLqcj zkzH^ec8y1H(u=cQ-*&Ol$+`V)K$?#v(u|$g(cbb@IGbs}Gfy7UXIAJm@h4^gl%f~> zrdRM$yDaHlW?g$0#CU+{O&=YuKD50AVmC|Amv$n=DX@bb;ZfutRGJ`h8$N%e1t+YR zC8;}^-08ks6aQ4AcmLdJ3oQW)M1T;%Z_~XaL=jlpLg7#D`Z=)IxpF!lPcylopXwej z-93jG?%nRgz7@r2gobQ<)sXU7hxoz^xYzL}3S)%2WnG%}FZUv!-Cpq1~^kN3Iy*c_`v)R_Nex?_YW1TsbY;-CZ{>wwwMUT-_t?1-aZmAkY> zaQ?O3Pd~gI<IODex3fj5SMx)wqO-}q{ znZ4M+Y;oRjj~(l@@D`6}L8tqjQk#Zz1rI60%f&U`Kec&Ld=xEgW9rdTF;$ zu)l3)eHp;hSx#z^sS45BwO}jL>fWC~D1WFPrQ9W?V1x=q*Oy*d@oFH4a;sUtorfLn zcj}(Ix9waDvQwQKVh)aNNX(c2_|Xpe`J#kK%W3(m$t?mbU2V zstsDu`>jsCkyc9Yt(L??VDaL1k)0SlXL(X_*EPJuf)OYFHTe!Pfp}C*;kdR~kfQQDy z9BE{4YQUb#8(@1%BvZlXtPhP~0B21^Fa^&$6L;Hh_l%7C5pd717IAv)N=Yi@^4 zY_p(o4U|lpYFKN2MSHi2q*z?48#9Q!a5_e5(L(p|X zPmJF7HH{qYE@#31-Nf_7cz3XbXm(+4by8Go9VR9qegc(tOL5kVZBt6gW(aLDdaJvx z>mby-bt#G`mdN_atxk?&t;56w#8YDIR3~t_qUaKu^FphB?I3dWBBS|f>ml5%MbzU%{t}tDZGL^kb%9wRZF?5?Sm{5ggR@_UCSSY%7fe3Dcjm%MjJ5dp7CY zKxIyRC4%yjB_DP*`#N@nCG?l9e;e+L_)d>{l4m(SR6J9eM(|W8NAXiK-5o-7@qtW) zRP8vrwgm!FvOP!#sTWrdRUU+HDQ-Bc>x>vrHO*6g1@*{wX-F#AlG>j&wcOx9>YA;4PPy^7>i*ho`@ZJ~+TUOx=~b$>Q8<>Ud|)c7*b-td>tk7R4F|L0 zyrH(E?(3AT9y`xSEl1Tj#?P0ml|D1pt|oqSdmu`#<6y|n6FTorG%|h(jQJISWa-@& zCPv9l=IS0AJ=lo%z$P{qbFhb?EH_jgbGs-!3vAasiMyNjKw5_wseEF>bZ-dJOJQOI zX3byIZARIk^WNMle)Uw;B|zKU9obGtFlkH4m(uZlHr*XUG!w#0Yv=qrS7@d)lcBKN zXlS#_NpLw!g%-fV-&aPL1~%e55gs0By2&Un=)^bN-sN5Q`9KlUwsEUdajSH6P4|Wn z-E7dD#~r1MQ3wz!Lg{3#4m{PVSgCm~ z`8DVoNP58L2A&{p83A6w>|*xB!T!ucOC6~#QOs6wuS)5p3f--_MTi{Z0FrCTN54(C z8DR#BZL3zB@6&S7EmA<->QpS16@yJLt1U}NvW>z@-PoaY zxYenl*3q3_8l)Ehg*Jm+?zyzq#kyyui{5Hn%M)z@w;h!qa)B3x$#8a?osRR)5@Lv7 z;N%FL%1`h&0A;m}HjYhHlz%f$+K#)(&7!i(S*ywAG=`wzkR*5`iS z^DWO*&L! z&eqt@l=Rww@>y8Edf(=CN3BTJmZzT{y;weIns`?|mhPx|ZOOkT#(6WA}eYoTt(AUdv)c&$6BwH?oP!p+Qu}ww3*x zMJ24%`*S!Id`(D8W`L~8|CyL>b2HGHZ?29g%<^Pf>dp~$TU$aeJlj_LeO5A%ecCA! z@)w*R$^V>~BXIRASj`1_#G07995^h~U9r&GV#V#Jn9XLQb-P=ZJ73Qna}_QHuzAokP;Q)) z5~7f`gs8G#L}ShbyCtks&IJ2x=c9U83{$uE74baNg~P*}qcjOl9eeZt5u%F`E~)H~ z6a~|13+J2(_K7o}HsdO%hN%C#`;lucWB zkZFFUG!1eK#NIFYkL(XuH$CxKU!rgOS8#+VXB&VsY9~XipDK`tt8gim_IbXS5^nGs zIB?_^HG5m~+c;XfrF!D&QP&jWP;@dO%80OOk_r#o9SM=<6RUofe%SIO&@DLit=FQ>StpB#o1+d|rF-%QJ=w2% z(&R&W#xA?651VX4aAeYY*)66&(dlox!Ae=pN^@2g%VU|+395Dl!Gpa9x6er9u;sf^ zTl-FkURG!Uw7~Yw4(cJ{zB9o-+vT_tY?i5<-0ml`A0pkBjb@9#mYJHqe~eVY#E#7_{alK`8XsaVZAdb zA)5FNPZ!Gt^%#^Beik^{yp&Nq7HOWUIU@hRsQ zNQe%g!}ns&*qq1%?TghLw>GR_ZY7?rZbYSbM3p#uFRQ`y*J5qpsr;|y^J(`#vge;r4`U7{&<^D#x;!==yFy&k8l3^gkXdc^Um7M&OMZCAqf7O zZm@P@P#{`HeH*?Pg_JtIO{Xt!uZv~;A8~ws_wW_RpYiKrF`rHzOYgbh;F{g`iEh)R z-z?yT-tG&wp6vM24|UvO&(=Ej_9VwjsQkVDZ{x|+^tS#V)6k&0)Aqp)I^OKun|>(> zF-(ZYVGC*@8}N z=?9-oxB4V#v0?9H_2zCX9dWE-_BK8jzk2lhktzzRq&!{1!a9UR_*Tc#Y;2&vmhj!w z@r{iK(M>wftn~mTq%-~lojJ+eu`=~ERJlReUbUe;Pj1JE`iZ4yqJ(tH^yd0pIl@MX zowTdDoE5@!do}Y{;;|BKH&O=eic|=y|wFl`i z2x)*sO;H;|-BzHK{b$n+*2@A;bwo7N1FJ3}&A@7k=AK3N#kws5Ovw7}!nVB)!0{kj zNgu_;^lL$gB}i;`0{b>Q&tM1qc43PG3k!<&9&U9A$ygy1r--7sHQnk%#-NO~q-wGr zJ_BkT`>^mdln_G{n;l3_*_N>x6#=H(s}+f|F}sIZ@6%=Eaq(j zcEF~#D`qUECx$1suJIi83?yd|-0Bdr&rl{C+sJgQYusbuDZ(oApi-7nib9-8!T+!gSK(HNkYk2egod!IG~%De5hmG3ye%X=ZcyO)ctAu`=ZbhS z6~)6Z_Kj3L=PAa9TOC46j&A(ordI(9NPMQ{C+6E$sNyC zlCj}dhmcd;2H0LF_U z>9y&0BU;B}$LTHf&o2 z`({xpA9Xy*Nyc9)+Ym2j!<)>pO^9l{*I6%vJr4!Qp&Y^i` zg{*r%+B`mBiI@&W_^rAj->YbRaFgOsCv{Jubnc|SE28ToMo5pDR*O_%P6iv(?Veq2 zX05e0G*|;eDUp6I*K}Lrw_kZ0(wn`JcacQx45N)??rmGrcMxJH#rX&rEo$6y{RBz^ z)9uy3Ty7_!(>(gKnwKX%j_z}E?w7j(mMI3}=@B9!3P~~+i%wBS>%rI zQ*6qTKkw$nsSI8TB)yIW{+)zakK~!D(V(4A>>Nth3A#DHaS@&7jPAZZ(&zu*-rFp< zkz{$kc#JSNKEoJcoF^C=cpqQ{%?l8${S^Zkv!WIS=BARhfRfp>Nd|i()|f#zmAx1N z+)PU~f^3r6iw0FY5$sK+T98euUf~YH;{$=O@N+yozW=|>)JGEGaohub{^9P&kB^@p zg&9Lv1ZK+=T>8Qj*^DD1|4I&@--l+;H71^`oZB1#lQ?=^{V-3PCro4WUWPJG$9Hse z&@PknLo(vyW8<@AFKz>+=3Qpw$kOD2e?w;qdqKxSe zQN`^#Fa4Tv$p1}zI(CkiNtmMN^@K8%#b77AN4R64*a8CF zkPe))Y9iz~$41^H>N}47EKP-za7K!^zEvRcolUO#M=Rdn%1Cq~t4aqa!|hGd;kK^- zQEU(efW}O#?^@PXZWbRgP0h{FRN$^^1r#t<%VOa3^mw0}mMICrT{?rCovDF_-UrzR zRW4`+fYj(~_Tb#|%sgQjx$qv3^RhD?T2{CU&T))+@3D$uI&}s|ZIR7br`d6CV!yec z|DzQII53JWbOQrWIGW3@!@e=Ui{-f4l^Nd<*q)PC6S|H`hl(@%4}H z0t){we`$A|A>o*ZBh6tKqNV|$<815O1oE0=<5^j)MPBZKb^)at@J**Tmsdx}?PxVb z@LT+f%W_YU{G6Li?Xc6o98al>E<;Vxsn)v<0BO@&b5UwU=3CvDuu>C)x4oedB$`CP(r54-n`Mv zD(`@~;t+f?&+Szvd042>^lswpU^2a1{5;7GI+}3}1&q}IpwM)* zx|+zxnQ_wr7vRWkQ_TE!XFVhfE8S#X>TOmPXkY-C%z4`rma9N{%qxs}Q-OOGn)`Tc z@n6OB&q`1p=KGon5=s!O0YJgHWP37Cck)QG%gYBWO1q@7i4(Ry<3U+i=_b?G%**p6 zZ^Hp7Av&kTyW}vR&CEhCvbQiLboTRF)zaN`;h%5dQ=#EB0GTn-+@mM5Up477qqs6R zFfBAs8mrz(4=M4W)w&i!2>{UJNbj8Z92TmNc?MSIP+_eT_ymp`BlB4E&1*kz!vQEK zb4x2FiO7D@fSIneDvKI3&E(+L`@AhL3D5PK7oh|I=)w#rSa!RtJKYh_`&LDDIN9f- zJk8tilJHJ90cmcTp#Ug7Ep-RmhG=HISj{xAA_;NyUJ8VDfc*P3n!0(f5vu`!E>pc3 zw#;AlnD*s&B7;fv;@1SGf2bVm4t1)M_5pxAc&gX!EbDouX0movR3#x!8`D3jGSq8c zq@%9JZyslLXU0Bxc?>S%V7YTLK^lUg~zeW`>Ig+=;*{ z?BLUkU&Hhdl}F2CcqoYQ*NUtf0+1UWy@Vi{28vCY8DXlRI*%;9*8yzRp>e`(-XJB^ z{+GN>2cYC==3KF|JmHO-a=HSlGguyIMrO~-c;>Uj+$_f~G{Upx5UT+|QZAX@ZwcXS zU^6gh*eY<`)}6*PksrtO4~bdRl@b2=5!KlX20)(Zl4)R8cBMyh$^3Ync9F(APZDup;4+0OZa< zH(biP%*H^6X@}Fi0irln2LLl1YRZntXx*N>btMy{QlzO%sz+)2EZT# zjm1@uOwzAB<-PGAWnoi#yktE95&n+p9~vjD_KkuD2EZJxr~_j;yeziDb6)-z-Z!ft zhjf@V*((nI$1(jw;Yxct84V18L8kuVs)oB8r*9oEIj|`AntD5ISw@xJk7N3W!kum| z4m2<et)(zdK;ahSK|rC_K% z(82r~04bomjX|UyQNY{4QsTGLvF0Pd{2B>v?(!&@Ujx8AGu; zZf~L!^J@g=``YQ(kl+r0RM0y!S;n$GO4TsI)5FrLPFt(}7fpjy(-fZQy;ZplT;>23 z0E&!`*Yo%Jq}nZ+CY4ono-oxh>4Ek+{)l-QfHP3qjKWq>pAYFt3}Y z54?s=O%|7kYOhI;-CX`KeG zt+Y;hVH!~~)zROnW5FpZX(!kUkoE~40DzF8r5(nW#`*G03(BQBQ(ja1n@F&egof5e zouH|){}zDkII$AQj`94{Pk0uT${BxYhB`uQ-{7;DUsKa(e~E=`VfoMFysZbIR0I#53c{?A=pk zptsEJ{)*!*RSel}>ko9KwqsETfNU9Rk96GY%=Xx0-u+9I!(?pnhdTZw8;-YBG1dW04%JaHPOwiW#Ze`Pw!+kOCQOE}2TI{9GV)ZDnk+`Mn-w&^l!YPPFYvK>iz z&`vZ=f0DQP0MwXA!R8RHK5Qxuh&L4_%Aq=Kodq4Qf~8rw%8MtK{zylplE4-KK;$9p zidqMND{(^uyDK^uDacep>;cUbMAy zh8a1nq{Gv^BIm}G;cL3>_%d(n3(eX3w~h%C;Q&x1l4MhKuS+I79p()URXPRcnxZ44 zB(SIx$4NMd6k6{{`xr<9P$aZ7#|Q77iC!cbTUDiz#Z4K*nJZiei#l<%t-a;fP3Mbx zmv;>S04q!qxJyZr(GDm5rzo-mVV=busgl5=PAo~}TsAMl*8nIQ#7qNFL{1W&M8DvP?i|sSwXP$qGo$r31!u&zUMcHQ-qshHCw?R8 zHm-q<%m9Eic$`FZT*cB36Jk1%LTVjW2SeZ=G?00n29Y}1bGMKvU0$htxCc3&`4 z`p8;@%`7H)n_pON`0cvh%mt0I2LOZ&68CeBz-H!#ouXx(*4gSL!l6#lB(ykaZh(^P z$+pFc82}}qpCCllA1JZA`kYsO!GhTI_SXhYT*xr+LU0z_ek6*yvkL&Q%1Po$Hohn2 z-k?bNKea}O!AUWNKDHrW`pLeB?yD0v>HtsW<_VKb?7d}JTV2;Knigo0 zLZL{35-3unxI=I$?(Qv6+=>J(Qk>$h!6gKDhvLOGxDm8&evfW_)Y%jCTZv7+ej&2q^zb4+ zSOwGg@O*~w8Q^9k%JofYoYy#hL>-E@!X`~GOg)u5zD`*+T5^O$KsE1H0w`$(P!WDp z^vlWXi5jur+A^iaW)hQLJOh#JB6L8Wv#d7$km#Hxco(1|)koXxdmiOllROblU$7$_ zz+poR@+6ejaxkmUa`znZNB&1EjunCF#4*k=8?e(>8P7JX{KqB0E&^Xk&ode|7e!Q; zJ;uUk4b74rZOOzL2b45qgrQfUo1Y;ZBxb)TCph;5DZ}WZrcIKvZKj5|u+Z>Ir_jk$ zvB>V;2DiOFsEG8iX}%tP5|BL{f&U>J#}bdo_;z?P)NOCpht5>wIGV*BxY~6uTg{qA zu@_y4mc2xr@)bYdxy+#v7QZpTV9K~Ah}$*GlS)oA68r-N41l7(kP`4;x3E}4zD<17 ztF)>kTh9?@V$1W9wEOF4&ZkMi)lUFGF!4K``J8;R#T`#bYvG(d&vzjHrua&J)^}QM zQ5OIdeIu|x1-2k08JYA{%UF6~P?LWNn?S!em(if*Wbpq5$krJr?-jO+8y zE!V6*juyXL!hR2UU6pOQL}}@hz5i|pX?b9?D$rPFNpC(Y*NdX!!QEUXN16`L^WLCPAgu~Bdl^Z3$9Mdj2e{J}VkE%!H z2Q#K2-1RpfzV0#a*f-bq%|gDcI3)G!?wYhFDbY3tKjRtN#ItNYcYTexp!&g*tmD?+ z7(?^ECgj#Lg>k@~Vs%(pzPxywB|3nfVk7WncyLLtfW^FUjr`Ch)9Ad|Iumwis!<+= z;GiTrQg1cCw(c&y5T7?OpXZansDLtUVA#KLfJkTVahuy!n8i7W|D#5qXa|(o!}-F1 z;qO{CY>&nnyL+aT&eD!8EbJJFSvyoPK3lv80W{(zLo8l6)H=Ose=yU(IllQ|UVrt$ zqlb$JQR=wv3yialnj51IBnQNxVSJUAe4=+9u0F*Ywgw9upQOp-=i+||HIx^&S{#1R z(FKTF(+G-kBADyB;=3o_;G9)nR1UE1c`7yjCAP*9El91yRtR&q9T+OalS)UX zQLLyy7?N~ybdHkwv-QX(H~A={y;kpH$#g?&R2!wl_FlW*hH1=bTZJkG4z$nG4@eZ2 z_3LY+KLcoXr5vC;)*f+Wo`nl5H8r32hf(*T#ZgwUom9Kh*=bx=eL*1rfPei`rJuCZ zN!NF?=Ne2c)SI_DE6WMrA5*KVGGO8qq*;Fasyhcj6BXi<-wl=+t4i%u&r9g$D)IcF zFpO%PU(d&*%CD#UnOYsTyOG7 zQk4`J2tWjcWkjyoM~Zd%r(2;BxQDNVb#kfvt|Sq@NnEY_&3DBJc(47H1E2cNmFP*Z zS)XWWnx4C$l`mkk%7){$1ZXBP#zVS;pI85i_80*GaG2G12s-lJINdolcH^kKzErRp zt{NCl7--mgKlt%0^jxZ{#4&yEMJxdDv%foU%m3S1MrYZtFu_Ll7o}%QuhUmEkBFhE z?|>1pQDe!}>S-JGOil~WRHUh}x?lK*2dv>-ZE|_oOualD&P;(4iF+l#O7Dx)Ym}Dy zKH4G-@Dtp{V%#$lu^~xaI@59sCRMjBOm<~aEOo^SRSNCMHMRCXbX@uS46rFF;xYQ? zSFFz33IwI>`75c3m4_Xup{$?Vg}W7#Rq3>oBr^1V?xV6Y$H#j({-vn-OJI?iUeX{9 zHuZ(XCkb7$;zp26Ia@sH(hGAq)x;#EbDXDga9w=ZR(4T6Juuq<*c!o5PV14ek0s;KK zeGVsCrCM0HagDRr%DNgkr0Wz0%KFZ~rzHjVPwW8vJRQwHNlXm8zirEnW9Af~wfN=fJqw{Y`@&>_5rs8DJ0Pp|gl)1bkyUO)i&Mf#V zEZ8B)#(_nU=I;%P95B9^AP(d7_}!ue@S~bw=hYZLdm5Ts>JD32ps#tX2H@|5!nSWd zcHLVZ=Fse5#QgyPwAdUc(u*Nr>FP&AR?(a*s4O)Azd*c-ri}dqv+^dLdpyF3SL+K`qi{*1^sbd5yHr&vqFdF*^ z<1hGS$Q}St@BDRojpkRKNk@m*kDc@D9;_Bl;>K-4b6QqqtJExFoAIp;t0J%@KOp;p zFX!cG^m~I@upZFjoY}+kuSTEtVF6_<_ge^KfFen-TgH|lBS7>=>Mlh6OHAY+Kl7c< zvq9baeZBxCy0nF<%7f76G1SQJ$a*O!!RyWgoyli_9(IR!SKDbgHdC1RdsQ1yH*>kv zovA;CbQSsD2gu{}yE_!W>r>J6ZNt8?HL+{Z(m>Cn;`U;5OvAdiduHeW06dA*{o#UZ7)t23=DHT13*~|msMg< zwZ4G8|g==qLiKv6iESR1F6#8hL`QDPv%Fghb=$Y^HG%&i89RDyyUel79AEpgg zHr16nfHvhfY}_A{w*fUa006Cb4Z8_iVZ9^jXgeE4RMb2-z>jvroLN$On)^HrKf-yK z!bx>QlLH|7d^>voy#V*Jz%iu#qXI;ppqd`>hvj(i8DMa*fZstw#X1eOA0uuRedqvL zo1`_qmGLEjp53hs?yLr5yAGSl$=rXf&2WH%(^H~5RYeW>ML_o>tK9z&>b3lCZj`=+ zh=>Rqg)r`8j^Vz6D*#!&>)<7M!JB64qz+!2M)@7*)eH5A);RPZib%uR{Jxi8g~)hk z479%1^Kml~EHJEvrm@6514L}tf>PdWFj_u5FYE_07KG4m`crhF0|13FH=>N}1KXP7 z)8Aa}mN5HDwkdM;shqr@0~FR%gvV%kzXB0FEj(`b5++lj;t4NLz}p_PcmNgV!VtnZ zNE)-}>fZ-XuZ~pjP!4k3(@6l}Triri{0xu3zErcK?R>)(5xIC1=k@^^3BE2=4;J&i z!DB*9e~kDdEOY#I?oWx|4;;XI<`CynN*X0PL}Qt4($) zv2|+Y?XKLwa|m0h^YQAp6Pu#{8Kx-*9Cp>o`Z3y4WR$4xqlRvX0>~dJE$s%D2;b;! zD^;Q$!cM zZOY#%EIoa+0VFl^>{c(D%rMjFq)Q)~K8K5z+?=qL6;aMS>7?(;0Yuq}C96FNRlr0% zhs;lE(F1jk7Go8jAZ*fyHgaZ60R5XO*RL(U?5AMI4xCisRY-oqDeXd1XI7fh3LFhE z9c%n!%nN^w-nQcfxznV>ZJpviF%6z3=exB@fS*B17J=7!l)?BwORSp3q(~?k6~ulU zz2O9z{k3_8RCNw+eX-ay^}h{gR}T+n-cyj1i=mF;mO-R%-1tfe9g@}%`ew&pWnLB* z>9~cltr}gzvH|ex;yixq5?r>vk&zzHT{jm8O&}eFh z!qafZNS~dF6E;8v*ZxxbLEVVy=)hhVFB(SHaA|*%rFAu$znuT*)gxQi9|iDpV%ItS z(X<={;L6TiO7i2L;nE0Dw8rn3%)5bP>6}x6`Wsp3uCz z=%o*#HX@yn@bwE+KtgKC!@Uz>U-Fljym*!Y{>`;vlt@VhW(2;0#uvhyAH;CsD;mt zpwLAr;g6j$PPT4@HYYhQK*g{xM62;v{9g4aA}h()_xrX&INw1k&P#}SEwW6!lamnh z>ogPqJtc3a)~y1hDD=LXWaK@_+d?nFaZKDHNqB}1wr^8Ojk?W2*Y~^DV#*V1R%*8E-gLYjL?Dj#IJKUrkU@4 zwU|ndTApV!_eP@|qZRPq1^@;lTiR06G##j&eS)nA$U3QnCE#`&cpR->F)(!7_jFNe=TTi%Q+>H#9^qy|st~Z%ZW5 zI_H)m_KC5yPIaulEUPyjLNv+&0B8V3vK1xI4E#%VgaQflk;YN?Wim`Z=;aC@-)+WeA&f=u|lqL6lF^WS9RyqG&a^JxSC zR7B0k(r27RsPpM4eI$gXJe2`}x!#_7Du#?7JmQ&a@6*PrcwYhlCLT9)Zt3WB&U~Vff=JC#+`?X(0u2`=XcArk07UVRKX$~DWf@Iz4ocZg z9<*g}002w&Jzi}=Ybb9F5Dz2b@@YBV*Xz{)60CO@p7I~#96tG^jd!0t7rMthMA!fT zdV%9HWclYGCo=wkj&H>DY*k3Xg(*S~VbE^0{gH3a{}~!T9BhaBrgV*0swTQ8699;L z&a0dr1I&6Kn$4ZE{h$K?WH&3k;Co>|Fo0W(ME>4vTVnCNNuV2A!bbjP-&aQ-mqrie zYupQfUqp(q!^?J^J_k*FJlz4kd8$RhCb3X10O0FTi;vA-`oq)5JQ3qht!-Ii92!@? zZe*LW$WaE@9KwqR+w&#AUM&u88h?$May&Y-cLo5Uyw1gfCVLP@_Dwt!l0qW-QNmm} z5)STg|3m*!+3nVB#)r%_o@g?9BsB!#1MpZ)-~a~Qte%BL=?2mRv8Q6+mBHwvD{(+L zN+@Umzg$kRlAhza9izT6)ec=gBjw`LtemLJg@kkfdoWTfR7j6ll=Z|~PtVx=prev* z-CsphK6q+k^&*s)KMMrBLr0z`A!g64qYbgFZ4y@_$W2K$%~Z!q#rH^|547+<%tFer zCZ`>pn)&(k`9WUFab|I6?l}W!_mvTq0`ltWV|VxFnU&XJOr}B}&V8gL6==!P3Me39 z`+y4YlRLYy-*q9cKo`?mui@!=Gt;U1WbKbeh9pAxeD4~OKebej&M*{(3yIoLpyWlK zN??2H-HyjjBMIxK(+MUA38aZ@_(gp(O>4+Og8%4O0(uTZ`m*=`(OeHZ0qZ841>B>fgG(Wi{GQ7A&Ybza97^bJ-nf z#84`&9P+x^Troq5lirH($`?pxn0j#7!*gA#eu+}NE07j98Yfgbw&CNI$K4k4A&st^ z$?Ku}WG}DGlXArBb>HGU0eN_n*ZeW+NX?y6xN@y>`Fes{bVW@xC)(B3Rn4lap|41D zj8Bmbt0vv`d2h+!`8>k1-nI~T3x%F2BWL{+shIyw0DuK_MZ)ZA1j_@J%vB@jIykLpQKNmi)=6w zpm1FW<;$0d7^iaqYY7bvow)9ERafn7rlr;>jThJYYtp~n1<$6NUL*5=@;|+_0m)sc0 zS3+ePO}R{KI;hiLFRU{;KoU{+ z497q=&hE(6HUbyc6W%%n?J~LNYbuj|W=TFTteVn#WF6@=D0=n=Iy!=%=(vcD(_W<* z+4;aD#YItjB<*vzr_p@LXECvlmbv=qOcXBo`Lpy&iYYhUS+@mi9IJFA?qXFd%-Q#l z+n^NT&Lr%pNGAPwd7FMBpZl?X$EU#7X@aH4zRq)^7XOmF?rnUBx{Jli>g(l5aVNb<76a-O4_Ed`W5+(i2A#zxtiSM;V8i?$^FPq3W1*s%`CE#EI(%< ziO~lg`7^GJiCPdVuL2?XipK3&09T*Dk8Sk7cRvaBm`cqz%cwNrrz-`Q_fjU2uJ<>8 zzUf`_o&E=*s>PmF)G?!m57jqm*Q=2H!aheYB3J}nh@;m0N?hIHQ^BGTeA1sV^iW3$ zo@#i}Ji+~VDA~v46s-PN>E^HJ&F|@B^f;qguUUTTc6!_v&CQ?f9pa+j$cLVV-K~jb z0JVqgOODP=4q4Y#?3o$*BrX6Ls*#@V56nf9X|5i z?(w!mV3}j(5Z-|_8zhT(7B>s~kNF<%z9hen2C(ApE`j&=ihoXRMa~#jp!ROwdOKXj z-|-i#B4Fo>LDu~JrZp3$j9!NfGVUZ|Zuheoys$JLS6Wxt$$58xS+WM->#A+R(r(D; zmul7-E;;zX?6EJ`s%Cv00yer;U3M=r-qyx9QGCQgPG0e<5nZyctqap=Y*HQK^L0k+ zu^SIkrUsYWWRvEiAh?az1lbA`7f13CUHrZan#ded*i`; zx}+3R`vPGbvrOM-1PFybzF%Q$bZh6#JUry=$j@|pw#D3MBs>*_*-kZ`I9GA6?0b26 zamai}3@+?3z58ZS{_59?+6uB%#i5dsCOow+AegHDXrab74GXQEs=ll6)1w2>$i_+2 z;*_OsL8|qp4&K3Rdh#Z4GSX6*{#%lW>ug3KRRr_B$Jm`ICgu68lO;aWWa$c+asQF| z`kRQX!Lur$d=V&X)T>?aWd#nVKQ4ZU=Bj<&+N|@_lvoww>g|(h?CRKbH&CzQ%}R)a z#vM~aZ9@v1eYI(DeeRu;kt&?z&2cNfvEkmdJ66BeI^9y5qh9>Z(XxjO{^wudz)S78 zP3C1@Z3pt>SqJ)Z$|Q$6=H<~4i`ru0=WR!I?Lg{v#ldV42PO@a$ga~&njOo?mVNE- zS$~*HdpE8?%>4oH3r`ap3G}-Nt7P{D&r?3Q1_XaS64_gOh(|!-_S^DWcl+J9Xn0m) zrAGg>{uoh9S>e&yoXm2=a?_h)&{K76pkD}CT*jl~)MOd7p}3k4PJR>->P8=c_#GQ^ z&t%+fXUoo#eoV6Z7dqq*J7XmPf4C&S%2O`wX`A{>UNS&OzR=fvpBrs6phT#-gXQJ$ zK-6!LLvG6S8p}IhBkY%dCZ^nGG_8x2R?D*?d zkM~r^btF4ZHDfOM{FhwJgad0$_JcItoKhm_mTq(MAIIQ>m_6%YdD>KWX{j1N_4 zVel<~H-YLht0doSY5_tG$b5UTly|QB9{omPrMu0!{s|FoKf`dPw~zSG^_hBo9p&0} z1F3{|yOzmj3CBB{MDWSF z|E?VvOAEIc}rRd3gc8#bjO~NcZR?xi|3Hn{?gl!3ze3$oY^Q{o&@AbHoZu z*DG|*NNnQ`yZ!Urm#Q>N%6BK)^aN^%L4QT` zeV(NFu0Hvu(Bi7qZ*DVO!1d~4bw0TKTzYEC25+t@vZMg?NUP8K5aGi(G|&C?srR$* zje1I%c+0e=f%;QzOL_6%Mqu0c#&{c;xFYRaljR{1^O0K-@?}WwKz6RTJ#TBNonpVm zMgEJ9Zb6k5#%Zx2?xG8qxy- z5ZDk#sUTO#_Qst+oI$=H?*6+M2@z^es8w?Vu3uRexHLx`DT}zx>rL%6i|)3Uc=(6I zz8o8b$#)Fd?FTU=kEM_KA)vU55ZKu3$wiDjziiNo3?1YC9DYY0L91V!5wGt3MMGwV zZ0vFrld-^z2KZi(zdk2r58HLqYX~}Pw-?ON6|NbCfbQk%{3TE+iHe^WrEA2lz>v1O z27GWT>eY_4V7^hGoP)W0)*G~~135udL`D+usy2d3#(4q78dF)mbfboqm!AfYf0Y&h zp;6DTj8CK4NO!o$tI%N^Le3~+%QUTCl}Z$31>5NBy6%_9bI}XkyGhY@g&t`{EqIbG zKpQBic%z-hHmh@5OtVkx2Ql`0V(u&`l~~kNNuvltpV90!EpLzdOzV2>#848sC&_r5|u(4ArY7Z z`nY7#tBC4JXpr(U5Dek0FxQRjZ*;b$o)Y$3r}dAp9hPQp8v7;e%TzGPTs#$pltq{- z+dSdUc;qxOGhVLHY%s%QFo5^af&$NZpHkIf#1WqHH3Y9a$x!e|CGk#p)bJhPXY$ER zlJB~Z^?=pS5|n+m+#snQD&z!RFOmtgHf@y$>b+Ar5YF=w%IvSCJrU?>T*OJFXzKL74V^vrosKY-^X+b6Lchyl&{7)~Sud439v>&-PkQsw8x{Y$WsN z+rS4X6uqwyxl*LFtK^(8$o2cFuefMu5xlOl3ch0GGkNmk}o zEc?xOqXb^c5QX7YsX&!HZI4W4XTpDmU8%{DABchpP#HQ&0wCSrnXt3<2FVU-D2`$} zB=Wuk(KsbKU$;&kz7HyBfQ?V-3>O9~M~7~SfhRZaBAaRVC4+)Nb3YLDr)pAD-E%8j zX3*EV6ixBAvO9CXE5!d1z#3sknxCI<%<3B+@y$K9Wty)ZuSyUJ;ey8q@6Bbd$$DFy znsbaOSOc{^sdX)oA8bZ;3yt_75XPH^aaJ-;Z=rnp)(NXQa@VNyU1_72x52x{vfLUv?M{k*X19ky;f2@+8|au|QR7 z1oHbe&!5VCO?@BrR{EwH!%KUm&o09?l^WRMb^H3s)TQH#>(glkukRzZyvx1*gj6K8 zNsbDHOV`2BD7h+$)r;y@8}A_yucyA_MD8t@wviPa&qkSkZG*~OQ)rEtm|fOZ!6Yp4 zb*wR($8ikAjJob+_n!3#G65bCMQCLN>an$@Rw}BWCE7R)#he=&@snIV0s=3on;!Z; z4pe!mYF4-GIPlWmiri1XX1gR9lD%(y2>n=>a}8EEGY%O3$1hAtlRa|vKrm^{PZP-O|Z$Y^W`iKG%zL$990rX*=KjxoDfxy=+58$^6AYe)(DHLBslU zA?sa;Pp1NV-rti!n3BsE=kMH2=klpRufy-`-&@HPNyrou zFz^s~+T-DiIoW^MJ=0AIO6)CxH*+*QX{e_?j6`t8`&s8GP0<+So`Hv8DFl z9vmDERa0rmfKeB0UBI_7msm$Ri~=eI*18YCV^7tmzaB4@AGS`?WE_O}f+h_89Yb|~ zcSR+&EPVFSN*={YW*6E{l8jIUFg8!a1MG(Xy6!42nn4unj{%IL%Om#!|9 z443}uMVesJC_ax0g)`?NE^O}(k`IF(9zX**_>Tpwu968$m%2ei4Y}}KKJWQe>V~Pv zrdJnJ!7^8GW@nExzYS3z+LV?f8ks!_)mO|;C^=}7Wy#`yzTX$4W0C2cxB*pZ(tQ+I zd01btgD~dmR`=D4{=!>SzGzNn_ptR54sXPdo1zS+y-Mu8?WevPm34OQfLznY^6GhFIn}gKbWLl0)0a^N zv`TX7xgapS({QXk2me8xHuLa-5D0iLen9;_z!%~y=ZGZ?2{!N1p%4E+Lr+|6y{|3~ zS1n+^J&8!>FbP^^Y*)llAJeK?XKSf>--^PqZa!EgF0wxTCnqIzE*VK zdz9_m4fsKN)2%>` zKbVOYt5};XKX?>62*cSk{=0{wer1a4>+^L`g+x7>hND0$$u20Uwup2Qm z+$!RsfdqTPic8NYaXNS*VO@%hbz*NFoUU1Y+4y}4+b&vrncbuY4dE)(Q1 z7OFEJSB#_RLK^8{M*LFRbqSbV8?o_p_<^sO8vp8Hodl&U?fmH{e zi5Gupg(zpV5AQ}ly)M$3*GzwnP!rv>IjgVm4i6<67MV@QYZJ6 zEBjWgQMBkS&wV;&6;tTvSEO{&Q&AyP@97n+WfZ~Zotk!EwbpjxggdicJ_Qjh0NdX% z_$O&9gY$n**?s@Qlu+D(V$a93N0t`EF#-S4pp#z$!kVWnj97Lp{;=~C&KaICDdqC| z>s5loz5FOi_|Q`!(;?kpt_XYhFU*E~otDfpCJ)I{n^cYdBUNc?Y<_)N=9wo*?A70l zw1cvS1$3k`%xw~KWWU`nm^DsV&K_+*k9#W4L^Kl8eUiH|;8>qX41%B%LCf+B9~>G7 ze~amZNi)p#^JKB574d##Rdp4vv{`!@(HK5I{Vuq&a(o#$3&vFVg3?2Kg5`iS^_7B=Byp=5RY(o zAID|9SFfkm8IUQMW=x0q#J{n&=30X*G;$(Qx9gWmFj`>b2S%=e5BT}Ho-k9#?Q#Rl z*YdX-1!|~id6&PK%rcz1Fq~8&>{Sc-tdpTf0hV~u&o*@|#4~Hy%Q706P`p{t(O3;K zKT>)9htLpyhF4DVN zxbM#lJVsm9yh4-(BB8xcEHKW7(3w;<;FD0i)i(FdF5#Aa3YHrGy(TdEwVd*vA}Pa9 z64j3j%wdS@CPB@O7Vabd*r}xuuq=z|N^OEZ!d96@)ZH5`0-O`L|V|dOya~x&-iI1eT8t<)|p&d$`h9Pcrm2 zl8)k&44g%hL=MFD$xIqy)($fej^iQ)nj7E77q`sgi=KMswP#001VQOE^`^2K()GO5 zej^*qe}4r;E{&t2zl&~TmQby+YD?)jn?z57%2tdYREKE1tSw?G@q|$~no3`}JkOQT zuJiW{leu=FUh1p?8kEsez&(^~#Z5_W8PpZh?P#>S3uAVq)GbkeVAQ#|Lia0 zUhU6Sl@iwd_EsAGTg;ibRIsLCBYQW?AMkCfqsJpOFvo-;q-#ZigQY3;VkvwDzO z{(AaTR(_R^gRQXH9(APR2PEMLKD zhcuu*nCmnTHVlflncn7F%kI;OGYSw^;UgmQcBK_y;jm0ZWe6U&2LKwY^?r^Xs!KhS zy^}B^4L%CBv$QO&*;;x-%4$h2!|m~R=1%3_PulbaTYgCj@tJ?#dK+5~@WTgH2#fJs zIBiyFn(29cs3(-OZegWbZIe`u*O-PaN?eF22YPkHQE5mIp#T-p*ku_Jnm0I1q`Be95;)Ghrv9KBsFrNP|Z0J0%uBHi(YS6Mt5) zlz1g1jyVB|&}6v9aE_oh(HugiPhhQ4IZvVyiN0m3m(obV;P{}BS)JMorxkoT3d;n= zOHo7|tOx{BN+!LukpU;DVl2M5#h!8S+uUTIxuGC+eQXKNn%g{15bT51<>*MAhD)tr zHUTSakn-iTK~9^qc@*h{YyPe{ab>Y&2K&HZ1dR*Aa|@zaCOHJb$F3+q>_&jghijiR z6DjSEJSQg<;1%nGQ9p!6Wm&3>aYZq2uHZz@i7D$!30@8UrE5ChwKE_Ibp1z(?lJd? z5x7G$B>TIy&#Urw15-)7yjL*I=Uj9D{ygdUN9JGvID7F;db4sZ3(R!iOaA8(Ju?kK zu4&d-TeG`cBjLMgZYqtb0y5Z?{<5v?Hn>yo$2JZ9q7jc{sK;En3nuT*C}R;w@AZ%h zV@#f)OW=?1o>GPy(ocs8E`!>(l%@_SVYy@w%Miai`|sAWPcv0HQ~zL-05=P@y#V6p z5phe89%yA>ngX2_m{lCmVDXie+|^n@;JdB2n5ICAJr{0QhejWN*V?bPly6~mK4D5s z_JB3|_ikHsmqgTZLM;WVz)yB=Vm3jUM-5@in8gAZ&sBg>9C%+Tby3mO-kf7OS$~s@ z#zokky`mKU<_>dWfB69Xu}1azy$QjzESSrz)v_$6Fy0R#3a)>jY(DqW!ac}>NRiF! zID?E?*|?}rCPr8X8?I_pmiC=GHLpX#4^q+4>pQw2pZ)zC3N z%l(E)%BZ@%N7UjhtNiI!`$9uM1_AV2Ks87P6 zhBq(?nG#b*lX3bFD#90691YYBY{-lo6nQVZ6StcSezTrm3gQ)euEB3IA5JbS1BZ}C zg6RjA3?{~BfeidY{@;2(&=KP~ynqi>6G9(!`pNzo8j`dwx_dYwrw%UH%QQ|BK_iyI z_Q>9l_}!<90jDflmGe^+cuCKKbsp-@2vtfd6FpP_ZT|;lvGBQ+b?lUqb6e=&caCtn zU^ysGrzn0WY63?#=;O~B%<0TrQyh(#usq#ioCV3_F%1aDmdbnQ=}+KlDi%&8S1so^OScy|a4(jne(EQYQHj#;sY!n>s4MDP-1%po|bI^a(i+ zWIDAb1*j4|Zw^)Zy!#281^_c9f=2z!t$SWqw3~tg|ADY1stH)dlcy^gZ9Vi6T+G4I z=x0*_5`MBlvsRv9e+ff@PcWIkEVP(2H!iGWvY5{Xng2jQ>Gc>@ynaUUBXumwoLyiS z*X;>k(_*_<-qcX~kggVc81P@tf>L7&(XEty$!RMml4JMf#ec;~tO=R#8y%1EL!_X= z@^USaoHG2wX*MXW_ux;84(Jn@C|4q*f)iV#pXtA11P0In1!=Ro%t`-Sj-rM?;b)+4 zv%lE>Z{`15u8@eus6)K!9y4bZPyyEbH~8M|e@}`I;viHKUKH2rgEAmUzu zxu<8|{`8Lq@BdyBbrE=up!4jOy5KQw(x*k!JQWCgapBM&?^!$f!g%o;7$>#CF{aXM zJuQ=12|`PT(PQxLCQhVwJg;~gQq?D-(K1P+6&(Tm+UYU__b_~0Zk z)~n~UX^86|nur3BHP$j1lKCG28{%M3&qK>8@e9kK2|olqQjVn^drqI6nZb^tLgaO5 zFFGXTF-6C{6rr+$a_J&j6a~ZIarO$&x-{ud5``CK)G{Zhlh73N0<)`i8`Va4&51Ls_8kV)H`r zD8-h=0r8=u>6{aeNnTx^U6xIPP$BIdWug=l7A!B@8kUE5An%$$GV6h_4wI-<{q1|b zPYZmq=4My^IT0b1oh{+kONaLVm;Jgsz_wFsXJiwMLx=J-!- zm(Ukll3?MF<(KM8`@@E*rV7x)2#jm2mfZ>t9zhR*+ZZ{2B&JwI%nN}KTk4(7rM~|; zw*iXxi;~}%T}s-k%+6EiXQEZ$iJD>kmk@i_X2GORib1M=b9DQi9g zky0H>7GW&ceT0dPmd};JF8*{K#&`XMWvt`oCIy*jhV$U$=S!7-;1t3K!OHWF<4 z@}RLpaEs)6KK-R)WBIvgwbJg_Flv!Z7<3eC&&jPM>i9$%tiaW)Kd4i*qg3Vnhsaw_ zm@ZL+tcnR5V zS#evxbLKlyHG#`%ZP+q99Oqz`#*crvE5?OC5qi*F!Ayly7$`%+b-EaL-HM|(e z(HchIncnBQ8SO)`-Jw*XuKXkH9KINXAI>P?JC2kV7*H=nZD)UQfu@O!yYI?G z5rJA;njt*YtSLE)FD2hunIp^ch_4R+98I}SjziX5(=&x&z}sO^r40o~?>~vouQD@L zXTYrobFJXM)M4JpDrESb`sVb}bi0`CqU}Oc4H7l0M!@%wq30$Wfrw$k2MxS`NOAm& z{V@;3ik>=0bfMIN&>`6xThNAS()qnr{wAiVAZjU%@gIh&p;7t-r_5}Ymr-H`}5|QEFw-)gZ`(SqBcjy#dhpC1%*e6?&^KWxemdn9KiU;LjS{`sq zY!R>L!Nu+Tgr_A}5sA*;T-?6> zL8;nj)(rNmyZIH5tJ8zct_!u$AbmG|h8eJXumpJKy_f8b*w2I3#VcW>jtIWm(otc5 zqW+nBcYIq}Wze@91qV>Fd7y|6`h8(n3cv3|FPnNb$bNs zaiA{w#BdyRG*B1Z`|M3Tt#q4^i3Z)ZS|1^O%EZqe(<+pY`Jl+Dld{i3+x%^23pd?; z+2W?P)B$rc68O3SEA!sAj=lm#^($}UAU)ODAWS4))4t~s(sZ;5c5}6jy_$01->b!b zT1zYXSCM`xZ@$Ya{4f?GG&^FytW@h)7Dn2{+qUb{sglYle0S$&ACIva^x(UR5qdjy zi|5PAeP&6YY+KAAfhuVg>z!UiGVBWc7f@W>p0yA>QOJ zWr0Cb$QhB#cNy0=LrAwvABo`76CB$Plk>VZYs--Buws86(qx__2_}|RmLPZF+0NzO zik_o}xWlbfF)!99WJoXzLza>wJ{Bv*kOUvVpG4ElTOMeyzfTVhiPV^dSY$oT4=Hjw zunH-fBy39Xsw3mHn1@D421JyqYgON(yI5qqDV=JC$osDQU{aL=WM^!5Q zum)L8Ip2$%(tTvR6$s;lS79td{j=&5J+8JbjIn>uAPLrCH<`@IYSSXP*$M&+g7?tsnsBtWg&5$C=&PbC>Tz&;!F*l8i?$VnvYnQk zKW_YM}V>$q6B)A7^`62KHY4Jy&BTx2fNtMFV<`yJo2gtObPzi zfDK?&?wz%rpCF>uUlqQ$kAw0GuLQJYSlU;dg5Y9t(VD}ris5rYuP?3G_K%=c5GFvz zOOE1E6$k!4VvlJLv^xCk<+`|)`h!C_eL*Z41YZRU4-L1W9Yi?K)PlhPFwg&+J1*ier z*u1^f=Z2H)2=o$FfU?TIOPe6~ZS@t;Y|9$jiZn*D2((JfMVOxDAU8cE$bm^m41`pL z!BJndz)n$gDz-<0gJ7t-7`$npJ+2D5AB?a1;H18qwEy4LNk;HBDP8WU@1O^3?!bPT zLi!Bbt8m~*`B>Jm=IAt0OagD`7aD^9odOHo%JS)Znd;vIFs`d zBi3T=+oZAs*-ShoEd?ghq~|p(g26!U&5$j-zTu)zi7?KQiAHN!RA1+4*dOy}4<%W@ zK>vfi_W+BkX%>WM7&sst0Rdq~qKb-2m?38v1BxPopacQUZ}kk-sg^^Gpom|uCZ~j~RK*LFT-(-%=`IDyi$UkP{@xwV8Qt1a z7q4k-WEMoe>P_ID7gsXu$>{Eo`O-sk{%LZ3S<=oY)|~JbrEG`tVTpxL8r6Sq=hTJi z5{qjM(w^~J$@QmAHq~#*$8HqJR7_AtMuf^rQm@+NbJuL&?U@^%e{Th*j5crm{BEhf z!OK*=(Syl!h?-g9HTh74_}f&xLyG#F_|fCfN=2u2KN(ThD00_-nZ`E27i()gv>!Vs zUcSiEYf2H;6Spj8uMait_()S!Yq~Y9h{qw?JF5!2e?1lbWU9&h% z&1))eV$_;(e37%4bq;_zN?l*orj^{B7b4pUk{WA2UTvWZ z!>bHNTVEc7lV={;WI&Y;!Lh2=pt|2z79G3L@*#6B%W^8DW)!vDE!w;OM&z>0Si~cGUG5!sqSA&Z;#S_cdLAwyGD3!~xROIQR+G~+?B|Mdtm|J~8 zBG}WDFyYfxjf#b`K3;baEmN zMy49h-PwzIsmXL`t>x(Pv-?+TaQ+$I=3t2+vY1I<;8&6X#(YLEeUO+2+A7*C(p9Ih zl8|7u`=`scBdk1f7d|cQ)d$#}83LMK4u@a2(blpdkG|BQE+O^?_SB; zbiIz=sGWPp=Wml4G5UdKo)e3!F5$Xjg4lWYnlGEcF@);vi@(eCOzH5CA%iEy{7qjH z$j_zgE0agkgm}GXV_l40vkH(a`615MVT;sT;#rjoqGLxX9&|uXiSI|7E+z?=cHc*) z_uA<`C7u&mifXwu#!2p}%8c&#tI9pAXI%h&WwP$bFR3g)VBs5m1rdIAZT?!Zjd}$x zzdumBe|;b8!2tX$sD*L}21k^I zsm{|hl#26EgoO7M6#F9*O4*&Iqq?$>-~4vyQV-hY!me3Qg_=}v#-g~-^0k8L=L*a7 zawtBmG0XZGS-VKjpzk~-Ti%CmH%Y$@zy`7wKEnx2=d4yyaaPI3B9q;RQ@7R0%% z{$BJPRq%ae*>Yodu_jrd_2W&{mNJ(vNIzryYP6?xlTi*E zd)X;?R3aN8{>m-+2kdG#p6A>_yvDCZGomN8@0mxq=;iEuo{6$h zN{kV1DCIkhuo>A?)6UGLuXywZw5)r8E48`rE`V>z`}u9#_<8r^sMyO)nQexZo5xMT zw?yohw%!}GI=o^|+BDsD<@W8^Y%njj^Ifgb`4Sw7()uy1t`k}!^VBNqHoMetz=g$m zdc>2b$vtKRyi+ydZlr7%+TQ!Jx|=Xc=HJT?-;i#Q<=%xjN2IP>Rd#wB?hGO1Jh?u|3j$`_-j^ z>iL9Jdgru<#TA(fCq80H6Jz3%ro8W_K2_x0j!M=y&A7dA?USE~wayzCy)m~-u;k?x zzK!lS<71DQ<>5gCg0%Fuif3S}(a2Tn09_xO4{=ugZZv0k;yWpuug+_jL60AEZYkul zDn8G>aYq!*Dq=1F>!{;wzgeS|Oz}I;!=-y|*pGU)Q`NMUU+k)$loKt5`fks^$yxl) z9lUHB{ZQlsK~PN;TfAA-^eXVtP>#mVjZNa`f&HSWd+l?HS{l}c^BK1-)suC{)M@oc zP9CJK(G;M=GGvxp|6De-r8of-+xK|iW-AiEz0w%6VkPgp&8MPMVpH+oaGlpZWw>+N z%L}7b-);I%ri|3jp0uyr8KxHl*}mvKAG6k%z5I>oiq0**h8H?ry8Q?Z-HNyuqUaBc z(s8vb&q)aJ)F8A>JbKtAbq7@!ktGhS+~J4U2bo4`_rTR@(Ync&v}!If7C@7 zJU0+Ff8N9ft~)2bsy&u2go}r!-gmn?)_2|WTI$Kh>vJljhdT#5t4gcCVi>K3#z?j z2mWlNY&8t)eX0GDklvT@Y-`laMVaL)E}m%VnP(O4rF8h_7KBWqv*CW!J*cv-IJDM2S@cb3E zGqmKPMM)xgkUW2j%F5CT-L|u~bJVamFf!p0x?|#MVPta8(cl%WkcNw)^DBFDqOy&F znF+1XeG>~ab7vk&Q88K}B@1h36Gt8)C2Ip`lRG9xcE)4`&A(x5KQ^>9F>CWc zP_**$w0~!u);(!C`Da8B(w>CAKM{KWi;9a+z&ouwj$D75Sfby&o74{z%q9NO$8_7| z>)JwxMT{c%3kRuW>jY1UFE6ItdKo%`HO)mqhu3UtO3&`w|I45r(_9*&tq>plrnHTv60VH5SBWer{-VLKc_ zQ$xyvN|@q7TmfgbH)3D~16MWmehG*n=i5xk*Rx2;KNm;hu#~_xfl?tD6{xC;SZT&6 zItnfh3x7xAb~O7+Ow^2k(ey04W;_u*(9ju=#S*}_vk@gGJllA_HU@G8zvZr$!p&jV zOn7!Wz}VLMVWkOQScCR%L^JZWy+CMU_AgRToB=K8six0Sqmxn`u0_hvmtcutIqG``A3fn7yGh z=7#BRJ~Fj8zBmsB=kKrS0s==FJC8ZI37AHZR{G(MU2?nu?|vCpGP(OWCAC4(1h6wv z1SpC;p%W+I2vN=SFF464-}BrR5qAoh+uN-t052v6@diBb9y9?S8>^WCxyGbo@3`OP z#(#k(05z{jBdGLB7WVA6uR7qQ_I5<#^P`LF z@RrB&U5SFyE-=#&B1a*0U9BQxUo1j;WZYbo8(zC z-_wE4YConHhbyfojw<3=uW;drnab`wTQQUqaM8UM-pjB}&E;oS5z3;#>@mFbb`td_v_dbKSygrESGrY9Rmt4}Fa> zg%&b(<{+<_8_QOTU)gOMkv#OolLG^_uK9G{3$U3uHo40RT6Xc!$|sO3d#zE*7dzpS zvkRo2LL?0RIDDhV?_$g?LzJHt_kzkLVEH?Zh#&r^`Z3bn++UL^3|hXEt$GpAs6@hO zLN&+VDm}iE568Rt7b*oYW}*E2ie-qD-SiQjh(fH!_tV9~j9Mj?_1B=9+HmqnBsMb z*kf%L(DXcU@s=VT1Jc}CbXbYDl~jRz#Q(9@5Ywebz@y&lzP81pUq;<)G6T4sN()t= z+yQ>l8!mucKCg==Ah3@PgWojFfn?P~dT^;A;%wQ@^5P|rjzP&_Y)|Qfp078Cr5Z10 ze};#kO;mF6m0d#`gH30VYUa-ZoXa`IN(_*3CA^@DxhJD(N1|jr5&Xv0CEXki?{WXB z5~OaPbo=@MnbI;q>73f6&(<5&rxQ^NS*cd8CF~fVGJnNPL16BV<$;1vu`?wG9fQaN zn(f)s;3s(wG&sA=8c^4B!0rYK6;canQw$@?vZp|`BU0$q^j1IInM8Hm6Eh@vmZAas zo3tooknpnqMJ8AXq9x@0Frw$nHUG=g2IH@>=>@c?HI1{vikB~OT#VcVz;^<<*(aP} z#~8hA7HLqcDa1$=D2@t7w|~V%p24*>--=G(J_`rqi6guj%OFPft|TLDw=ATQDIBUx zCs$4Q@({koC_F=PivyUE0?bX-oxqW~KbIbg0&-u>&7wHtUdvqt-!P5P-F;>zgz2!O z1wr7lAkx(rLpR;+l>{#Y5+mdt-eW7d zakfXllF`bD0d|pG6TBaEu=7W{Ujr{a4BPY^3RCE1gjEWlMBHg{T&Hdt1ZascW270$ zdg$1dKJ>ZBKxxW-^WPQ1Q6O&FD&w&Mq|NpWC_eVmT@)9-JH+*ybo2F?dNJGy!RCfWIvpfQ_>bM$ZMgQ^J0O5kkf!mry&SHDj)`&w8aJq7;&;}nS9M*`@ed~OK zk37trQ{VwPNgif!ey_}w<8U7&m9-1Kqlh^60>sSKXeD=MjB|xVB$J;0M{X7*}8ioG)vc9$2nYlffY~D zo7zeY%jx2b&Ojtak-`>($zgWat%)Sp zSTo*79Jjwqi`zhh)<0`jr6y@%18+BEf!1e$WjJ(NXthZ(2N~rFKUzM%Zw4>yhBlL) z9d^OV6VGHn;pRFY`Mb-}15Nl>^tc-$l680yl)dGyF~PUpB^*t@6)O`x6Z_OT?UC&H zX!yv&tE;mzRo4ho(@Gw^OYOm6peM@j;S>k1!)etw z279TP2^f7+IVTKp`zYV+=gpwR1Z3w9wc>FvT_}J(Z$4$XbJdL&k}vYieWtfa%oB)? z0i(N+DiiQCmsVuY>?*VgpTA80{sH^%AHIwp3Qw4Tmgk+-;0ardA5Rz`g^0G-)DXAf z+Mi5vTC%cY)Nc_+so#pPS#>op0WF_i#zSG?&j&9Xde;Z$Dx$5;)Y41|DjPVk2?Bc; zI8=jArhg6U(hMf_#2_(Dw8GydKU-E~{LVSd%=owqWEV-1UYrr|@3Hu1*x`}EgOese zXf>FCFgoQ$P?{#4K?5}}`!ot&gM#lS6pb*nkW!D_Z-Nx7y^m_}yP9a=wUJ+DiYRRW ztpz}Kkn+k{huIKA%M&BAMxDn4Ll|PZ&G~SB9H&7iLOdx&STnzsQAmp>=vDC=WEt*c zaAwXB_*o9s%i znnepv2(s?rd}9piYMnP!+XN~7vy)HGaj7HSRM-6BR|m!EO*%eo{zf?G+^EG*AVguV z);zl5!)s~k9}B`jit!ocTD;rSi@<9$uu6@imZTAfl!LYBF~aIZ{312q+6i2m`|Y9n z*2}bU@t6k29P5)S@OK(Cj{>QkP;cTWl5hJAQa)$K$OrM`#v+l7($?WQxi8Ha^%&I- zn7;FaF@=IxrQ&03)PQ+L6zSJ^d@y#7mkM4gqiVh<)Jj36E*(829!cby7-KHt3LH0)ud4L>URpzI2gKb zFVQjY?%W6GQ=wGapP~9JXSEx z3-x*G1ViR?otMJyalqzf)n2E=OD)#H1tiQlp+uX3)u^GNAZr>iph;Zu2X!+h5%H_J zK}-&zR-Zbg=KyccpS^Peu;FAv(T6DXy{EFUe1hVB9cP_qODg9Yrh3Ar^J_TYbzDk@ zJK%`L+H5(;7m1y@5*LeJy<^vKxtid=oOSggtN~3ze5V464;PLk3)?0(%;_?ce3*f7 zHeqs}XbP0MBQ)LK%^$T4duu2yoo&6{8N?ntGWfWj;J~O2%rL>2>*VZ)?$O=&Wx?{@ z=v$&zWz-pjWN(A;cUFYx(pOB@-p=hVJbBcQI`SHmciJ-;Fs{o^Ra~G!zp5^;%Y8fM z4%|rxa7=&>NzQy*RsG$>8JIqE>>cfIk-!ftswTBf(ktBcgEFt6ga?%pZ#Lk)WMM;h zf5t$UJEef$O+=w~9qM~(JHF;d1bWj8kbC9;)@~vgsj)^psqKF729#R68A-l;1%*+Q zy9bP;G4OXn7)1`sK=d{M2s}Z73lhlrs8EBBN-R236NIe;zyKMkQ36TmLxDZ)a11rp zfDq*o1ywoQ8pFp zK@B_Lq7H(>7L*NJZqvUevwj9P&EpPclpxKsn~cZi_F!Us{re3pVTV>fM0+_^`%E;`o~EgF`y1N=1xa+0!yGo~NDZ z+uIj_ipHyWZ6LX`6pR;~GBA`m9y8YiS~}K|(PM-;;kDbckB)R*5qknN7LzZR1!2D$ z+&}F7tg0ccuRtXZWI(P}F8kgkqKXDFarXOkyXu58n~#Mqs8#X`nud3wiz#qLL`LCgk2kI=g}$U)KP}^49N1 z*Ecb2RLr%@Ym9vO297-2P;tn0Zz3!Uq+GXce+;jzmRpm9RFlrHU|;t76JX_RY0fhmwI`dB>5gjR$zi)Z^ z){?|lu!~eYK&}JB$bu3$HpL|wCug|EwM+POatdkJ+el0~KSa|w+IF}*HINEmy75g3KwJ zRf@#V;8JjjW-S12?Z&VW-g+g+9sHmHu1VbD$1Sg53n95ItL1h}D!C;y!gGBH3^h@B zV1>)tV_jc-f9X-#uCMynjx}k zHOsSAuIoulN}I^E`faV;>8qEqDj#B$%=q32hVtOvXC#vzy%J}?aQ52dy!|8+Dc|h? z+^EIOFy&^=ta*=lI|f1{+*7b1Y9No}(4^Vd0 zmMa>)v-ZrmtF`#&5!WCZ1*-f}w<;8#O^{z5=wo&j`F*{>^Z&Vp2~h zf|A4ER*Dss2pQzhhc|A56!g^()@g8ZFluM_M)7f46P(b7SnQ_e3{+j8K6aqSW+1kG3m1fZ|JX_;IlXiRtMpohuQdp#`N} zIP5gsdZ4tUM##aqYby>;6M_E4^oN10IprRM+SDJPhurZb&NhDegM>9Kz{x2F+0O5< zzupy~PnckRXzj2s!O-pK5F=h-Y`NhwC`oP5+;?Xyvpg31hw3wu#Nq!mETvv?AAFW; zJEYlkIcDxYSZQ-T2!2167$_(Et5I<>-T_XNO0Kj{%;UCDlgTidF=Yzi4Xz{mj)PG3 zOJkByHn#ymlEx~)Ne1n59frMmogP+?9$>69>9GAx+nj1hlA+1uO!7Q;atY>ZK~|8) z(b}9#FMtj5?q=ye_^uh#E9cGy`y)K?<9(QaG&O7YB^0Ai-#s`@9Qqe)jR}Fp_+ifS zn54=|G~Av3b>h6^^}W|wP2+|nDVj`^!`ond&O8lSWgE~6eZ3t2Y(^5+b@`qlNt$MH zle>TRP{f|of4j&}p;mFfb%zml7m<~Fwp_eFPMA*v8TF3%ZPfa>_)CprC{(mp8>BSp z$W_|Y04rA(8Oe&keDR(6k}I6CQy^`N-=As*ls$+4_NQ#5`2a76K!c*Uz;WU0<*{Z( zN+ln%)&MimF(s_FrYCm^gZ?Eo{;Mh1VGKP?IMUel1s-c{E*n-M_{>(O5Nt}6b+g%JpAFh3_4?yq(T*Q66jmZU*1D#pTl zU_~aTYBI)f;H;Q#VDm$Smo~e!=a9cMTvY#fZ-%~D{$4CRUYrW51cb*()+n+cqi@^K zoR3od8HUwEMoZFMoHD;y-XRskFr7_0&n$kSM)77<(k0Z)-N98OOxIF^qY-&1j&@%G zu5!v29sal+snHyaR^BXm6!SY+xC5}kU|NkUylXMds;{X4ac<0h4Z-p(A{CqMo_IH} zEh?;U$pBM;vC%A6NpxiuKw`$OY}62%N6k7I&w~9buc9)m!mzEcZ5G8FS`YWj3D@C< zx}V7>Srui6pmm*_^pnyyK3tm|t#F=Bo;O$0sOWWl4CMMCqXKwA!Yvj1W!)O`t*zt7 z`+*w8E`NvNp<2S)%9W!nCZ!=%i(BAN<_iuxJl3+Iz?izNE8*Oj0|^vp;cm*O0f zp_b3}(x}rUY;u^0vrpQj_?j?ljtnAu!mP*IPu5)mS^Ia9-%USFy>wmMw6asK1~U*w z0Tykb{9Jia*_7x5jj1L|#)9?N*&uZ zXwrm%w>Qb>n9cnk=92~4x^45@eK4V}9N zO^b7mZ?L!I%^Tj0CKP2iUc$9eqRMU#=l9b5XuzjNR6TO2T1F_`lwC!N_8|tou=xI# zDcC)KMnr8^<@SN?i?@~`L~CN)85+B!^#bV@g6XJJKtEV47sP0a*-XEVYh(Fcd@GW8 zv^f6A+I{Lx2-MKC+L0PIV7~H88b&K^?aaW6nD@FN?DH}GNy8WH3i3GYx``bw0sbXV ze3Ac%h+@w6SE*{)0pRo>JNRJ50|Kx)L$Y#vWVdAC12#cq& zaDrt*J}oNB0GPhvAG5L}6w~6Rwv2&f(zk3XTs<=%-^bgCul@`*#L#z|PYCmf!LDUO zaD7Q~1iuQM?Av7N&x(lm;;n*o++{Z;jj{Q&9J_`g;@vaB3rl4`rd}4+$kB*=S57r^ zs(rtGX3pjUh_jQN5y^8{^afP|p+FmFyUAc9UQ9|?WC4leO8dMv9CzeuMI9yw;-A>l zT#^~VAz`)UL{J5tfyB|L;o#rT19H=8G1_K46kw0*E+!f)<$o0m)MkV8mb`I~%;-I| z*h~p+I{A&uE9iKvwt=70l{ly}|bO2m*cofGA+6!OFIJ+`bH0n1%guKvnA#{0Ekk3f{wBtB%uS*{a&{o6|gQP6p zjuA-AbtPA-DeOXC#D#R0$>$@!x2_PM0jc5!EIb51Qf^0?M*y~S z*+4B2-q^Z=b_B#sI?4tIl>LX=Aj8YH&kHXV+ch!>& zls`<@BnnyvqF^};_rSc>{<2s8aF&a}NB~>ZPY_=-Tn~v1T9Pz{gB5T^>5D+G=`JP& zZ5L@G3V2V1=6h4)LWM~cr;dkVFK&TNiwF|goOCun5uJa0<(`%>rUB*h7E6m#dp?TG z2CFQvE-F{gmZU0adQ5KLOWu}np=MUGkfK%EbYt1^G zE63uf08ZL>N$B&*=+O<2mnRgsV!Q-q68YU->@qt7yjn94-njt`UlD_qMWcV>pb5C< zMTFOWQ!A+b>sju{kHd7nf#~EwtU|0r8p1k-&7W5erum2t{17KHPbWR<%ZWQ+ge4J; z;K9@)YV2??NsGz|bWtj{Gy)o}!1cL$#x>$=2Z3nuUWYS>uj4?#T^J30%P+yO>~VWwh2TQ6Sj zyb99! z`Y@QpPzifWkehTv?g=08f#Q223Z176`Ih0>#Czah&&+(V#K(x!MK=UrHRKz^(k+q` z0)Oiprh~0nI4=J(?QxhHskpNn{F3<7grMTOBSKSEK=tK>4ph4s(0ZK>eFhYXUZQ zi}M}!(Y1(}v%>xLy~2zIMFf~wUOyc8i&&3wHRSxIQmot=+=dX+kMbdgV5=roi>Wyq zcns>YoQT3U5Y$`Ylskc2P{7jV+}ETq+8<2>i_hxt0ZR4H1PQJiMut(?M+VVE1(AI# z_F`mST?2S>kph>`>hZ4PI%ukv$iaXlEbqKbI0`!tTopF;8#ZUgVvkMVv~|Ok_0@6xaf9%sR2G0~Dzqz|yFzB^rf@3JHu(><1Hygh& zg(Qs6iy5q4N<1nwh(!8rr>?NT*uN;otad{hwm%l%>Ry_+h#`N;z+L9)z@8!QoheaqTdZrMkGhC(b)#?si zn&OZGN)NZ-iVDveMl_wHq2F#=upj?O-AoTXz*2muqr->aIWi0T&n@|YA&fcKNpDUJO`)YpakRJS}yMz#lcks ze(Oup!_v=$T|Xfl*ZOAS+FMG8w7X2Y#yqibOs#hm zw8;$y(^Ejr(m9`{NPo}0P6N~Xl0)+6pHl~zXvwF=rH!cB@LFvzB5hLpC7fvpG^e1L zWQ--R16Ksk+;Due4TBBSVJCN*!H!X3QwD|`kW}B9qzME|Jd~X4!rP~vr!rU22pPR@ z2v>XsbGwk2yNonvgayFymm0Jm8;4Uht6h8zHr)jb1x~2|u_paXfZFt`B-nBO;g)3T zU7+p~jPEvgi^AHzh9kEs4}h67;{ZBpyf!Vh2_RDKA&6IbL3|jG#==E|p##U~La-#5 zwwUJ>w+JISFM;aEOG7-5et4MSVp>=&A#mZ9*o|}TcpXDbGkfL!LQ*xzi~Np+Jy)>d z1&Y7veku;RXyp#P4{t#+-W;q5vyMmOHX1;cw7nO13^A5X$$hW3*$mYLg^@GMBh2h@ z5~Ab|_`vuH2T=Zv;`0Ua{`}h{6(W8k(D76`_T8J2oqOjJvCfZTtvCQ_-No-#TAaom z{HPB7C+?3U^e{YrPN8A(haLmcb$xV*!s<=HgNSq2vjHkOTf$FXT^6%5)4=nE!tdR(4_+W zkK<;+<{!nV#bBCag$p?Lho(`8H*XQfz~{eY0$&2!6#3wPLlQ~Y{N-<+hq3%RKa79B zz4BM&)?`bUf9U^;y9ATt zEKBrELFmP_eOq8g1`*|+K(s<^X+QnTT7u-mdQHUr8f=$YJ%LEh`(4lojy3tIq?nkl zJp+t4vV?K{!sb7DMR0Kbp8Am~Mr_q+E&t2@B2y}QldMbWzta+7 zv@`KzWfaD-i73+12#dH2!3zEGe}U$sEFw59;XG7x3#k?K_>8pEZUXgxlP-VXJA8|% zHCp>q-$;fDswsC(*GvJ|4gS9beV)dggm4}mO#+m6PYKA5A(6G-^v#=y`R@s6KlF?o zg;bb*YH(su-|fI8vWdgNeu=lTm??gK^+Br8F>l(Dw*HwJT3|&aDiDje>odaKrF|yw-JdIRxUMq>aHNFM^b^%T zWOE7c7tcj115D=`O@T357QvRUg10$ezh<}&NAaCR7X*kED#&|v(XHw zw&CIv_{MwYiX1F6KO+Ha((Rb=;?IqGqmHhvtaCnF3E0$hj-x!S`;Nf;Lxpke?eS-$ ziG@9+pr5xUQSprHZVbj+|n7l1(Yr!MtS-x@6jYgRt=t!-nNP2cqQaqS24DjD(KuRMV-U1{Zt#%cSj}tq;_?Ogc zenYc-AnN(eE^sQ(85a)~PMsNyYrqS=sgb;X6S5*~J_qSvAxhr730|GhQe^hPDzj?-C9lZE(T=dtnFXW8HuswVR$KS3) z=*tJ8(`70LKXHPgCCK^Y+oE?^>~%m1GkkbIpB^yk%*O#Zd2M?EO$L4dj)G!qs&g69 z^38l|2N~t-M^yasxtV=D@z>MhM)JdE_9n>cpQT62wyhZPifV;#-7<)yh)9FaD>-Skx-mAD*=(6#8hytuH@*b_>3;t-hW;FaLG=?Pxs|rK$y&yM7u$lex zBXNOfINme!9^yXpv13R(Uao<}R_=cvRFgJC=#5{iHB&1E3m@56R+AiQ^5NgRLCWdw zv=a7*&H!0U(vx)wty8QwwqGYPCKLPBfmTPQGgnw)&%@N=dY-5|W^1qBK?gq%ekw5(xdNkEsB#_KI?;3y*()0Vx3$QaL3XP zRko6dH76V4IlhDb&U#1&e%1OJkEIo{lWl4|jM*P4H2JZ76B3M3s8jq@Dd-&g8I|`~ zI0fVP^Gk^^U+m_CE1ht2hP0b)NOM*);2Q>Yj1f!{y=&yh)h|ng@KnZQTi0X3*$W(z zswiagVnEE?B0OvPcK(ymIP8~u6}yvu-&-&#ugBhE^Tbn3)IMu#-PZ*?chXw6M=!}XZasaDDcH@UY9`pWBzf1w5oxTZV3bvg6 zq(>w%J1#VQ?vQ6mtn^@kO(5s%KX>@>RwSJ$0!uPeUO>?!Q}S8z)=6y}*8zB8qjm3j z&b8M(KzMf7ewBv|7qFY|T99MhrE)zEY5rT?{nw8%CpEcfwB5Tf@Lkzum+>MO##&4j zMZJ+2=cA^zO}YZrH|5XAoT%2}UW3bLVuX+Q+nw$A*-=a)9e;|XFK$)2M54u_)VCbK zs^4c_QqXcW!rqNeaQ|PwNGNj^Ka76*^eU23blwRr`KSHN8pwOrqv1H@egsM_(nL|< zHs{v{zu4O6&mZumBktEDW3k;%m2aV~`zh^0JVcPv2;S@`+q=ULh+_K>H6fcO9hPP9d}SO?ZhHH6>Fu8Is5>-n;M3Wc5n94U*Q;mLaeiAQ)0q z$!q4fsFhjV!amGW5AaIiXs-onHZM}gRY?j-!FuXj<9`_lEXS_W*4%=#_-qA;^#&w$ zDSH52N~=Xzy?lvu9wA@Mcz9g0&y1UGyw<<;2SFfUM2Vg`IJPY&<#zn*p1inBn!EeN= zm^Khy5cT*0IWy-aHEj(+AN1B_)*_31bD2I~qTFz`4XVHKJh;XVQ92{c=ld0rWSXb^ z!C=a`)YbgOdHv{~|> zn>LTiIqFd{2B`P)2Q)ssq+V?r{LWlK^&Q{F2f!eMZ`M#uN#WSzTRXOq(!<7JJTkvy zWRzHu)IOJ%b{NKeu>EI$<{pCw*FWsO|Bb8PqO0@)*_qD&<{)49XP)eMjPxy;JHm$o zg83kHPvIXdrM8}C{3HIKuLRX9X14zf{tw1R;=4N;{#|8*q&biOU5Nh@k{ABptY(dN zwFdlKSvwLH*;D903nbP(E?Njdc!S(V|4Jx*Fy?;-!}Uv|=H}7lzk>7sv1C$la)i(S zUY<#(QvX`F6ChPasK0S{N}|+ie1zr z-~Jj>_PtwBNL0#S&4l6bCVNvP|9=_(pVDfk`+dukpB0=d_U7kIlT)=I?vXq4r8NF8 zym=TQrK|^v+<&og0D-)f@1TZ6ZDGkitiLdj+2QrZGeCI$z{sp9bI;>`CH=(?&`Cxm zUGtVYfX;vZZ?RyI`~MX|(2Y>?{jWm*2L1oCBp=6`w*`jcpVj|g=Klvs{STq;xu<>R zCQXfWTqpRh)19RLQ=633`9g_B=6k&d5ey&yJ$L`FHs}A!+xZv!^Zx_}MqSpt2B{;- zV`KKu3NB2xbg}KP(e|$ec59!=Ppu^|#joC%sl%ryyP^1=s%V^&rOa_=-aTz)P7G6mFO@0u1kX{ zrvG1Z|F`Y_zdlfEK=PUeaewsR8Py{fa=T&NS^u5U?w+iW30c`9cKsVut7JZoTv_Rr z|1_=I1U6g(2-N?+DVW--b(`?s>i>}G`m6W&btDZTSzg=Y;CXVz+`&=NK8#}R#edU` zQayjuZ2$S%q}{UnUnn+y*+b(sYm<+_)L&v1rN1yKZ&pZEYgvIxh4?!?SHM{e^g=+gVs;N zAQJyXkE3mo9x^rmpHzo`nYsUH9sjjL@_(uRPig^$IWM2`(+LH4_wu9u4@1qX6pvr} z9%<~C1kDwsYD)HT8+J2y{);9*~>CBFm#Iu)>M*D&Boc^-&JH7j*GF+c8 zQ~8~6*v%E4-*Njo!@~;M;P`TL33jgl5;YZH(x|#}*s3QAgLn;uwV$sn)0ZMU*3N7z z>3yhw^IjpuukdvNRc@QFfP*<5#ICJEWAOKDt^Veo9vinw0(n_98Pkb!cIVIIFMzBm zSwtWE%E}1j&Gnu@Fd8@78>@s0MsCqTR=4^F&ZL<@N#QG(Jg0I5A@Q=~+fVj*DHi!5 z{4xrHPm)2_!Qq+wHpfs_!mLhKevC-uRS3bhc0|ST%5-^)k{Jkra%kzSOjG2Ebz8t1Okza< zNO7Y>Lb&Sr&7I05CZw~I7Y)C(7G!N((!Z?qXBUs;3$ID_bA*Pm#Rk@W!=c#AzgQ`? zJvm;aRJOIIyzZugyi~{>BQB=ZtUgX6*7^9#ri>lEsSZdrgjF8>e6u#|Wb5jYYhzqJ zY=0h{-F7$Rg*>KC#SOx!3$8{4Fs$cyP}tg5;F`OO_4@j>u%0jLXGaFITduiq9@K;H5}*izZ8Qom&|RRxyn7}Moge59M~B+`w-$&7_bOm zpKIOuOxMoR?#qIl$yboVL6K_-%|j+TT)wc>Pfk>T=_$0zG5YSxfoJCX)z$KGNd>z2 z{L?)pvw@g7LpR;r46K#&4k3O?p|TUPGqD>y?xWb%cG!O(@;%R2^rCc4PU+7W;fWS^ z=+IL8>0Psdcl{Lt5pn%BN~!nO`(9~L!nwJh-wP^X7gY7lv~Ecl(9r{6@7B|8u={+| z!GZu1E??MrK{~>F(iWx|eavq3NyPg3Wium%bt+0VBVV4n+%B)f<9&h61uasUxne+# zh*IZu@#_b%0@!&b=x0**h3cxMZAlw4JEwVMrlU67U9KEvSPiW6!tsQo%$uvz2Zk>k z#YU_le8^wF{T?sK?3UQ{1`DzxDK?D;n?1nihA(VwKyJ0L{<>0kJ!Q+Sm4Ul@FxZX! zCTXb`5YXypJaQJ$8j$)9Pd~&Cb?xAEo zyK}h7d#Vl2R^Ro-i_(vc=5|4E%L`Z$Kv6Krjce@goW;_fD|3Lxqsw_s6lF>DCih;N zj7z>3rOf1yYF;E0O=FKcoSY-i+tI2XXqBZ!P~wFtMBe3{n<%Oe8i6Lo9vI#>h~&&xH-3x zdA)F{XTr~%KVowvQ-t8hXD>&*e{=qYIbJBmPAsIYxBkQ-)^W|v{wGb2L9D`qEZx}YgqZ*U6lVm=-j78(E0bSk@P%WrFR&7a@Tn& zWKmy{b*_EEr7`lm)487xKk2@cyj!nIzocus;_M>Fuy1zGzF^mjt^fEodvZQ>j;S2J zd6SxvaQvw?*bVO9-$4v;qV!|kZMSo-J{WmuKA+H;FkA!?SmB;pCmSPdBCCVPMf}WD zR#$w2+qByqlGth~wV2=t?s><LyIUGa^SNfBeuJzia`D=B}HY-isQ}()Nh~R}h&T|b0{mr&`4FF1& zC0gH4gJ(OJx}lzO=yAm7euv5`ub!gnmi&CDvK8%hOxe66G?957{VT$GTt6C?PU;qS19t3~57XKb0t?9wGfINMP;Z$uC)VrGPIj6ZD^kbh&X*Lal zYPFU*Aazc>tAx|jZVWt>~vB;VpN@9rgOr?aP- zZssQq=PuE0X?Hx2V6qoBkJ91cLWI7V;}JTlE}MMf%+R7=gOzhp6Y?e23=x1ZJe% zryKvpjiQ0kN1R78ZFf9z9@Bl@bS)}ke}4CE${V9Whgr(Cwk=#0mO)ePn35^i@C=Xq z|HIvTzBSc+VWS{|(p7p_5T*BCm8zf=A%W0)kX}P?BE5+is&pwrXrcEepdpk<4OKvT zuK_|i@%g>ydOw{1;C#xp*Iv12&8#&u_sr~>;ih5XvgkST>O8mXu&}27b*iets@_yL0U%L#(MR2n zE?DOxwcZD#20T}uQzyT=AJ7>>U|=Iw=liaq@3$T20~Wr#OnFw{`-w zsY|xnMFGLi9ZK6mDuYLW4o;MKhPV>N3*r>*W|foyW5OPi^hc(jzRbxrq42_+`sBmd zvRe|Xk2vLSeJ?uYAOHvt3ZFm*w~s(1{HqUXxw(ed%inOl=G$(m#)D}_o$f!@0^&cS zo>vEZ77W&uie>9+@mm&B=wj&Rh%PSLN{@!J*c~uVc9u%5RD*o}w5L3k#w$^#@7!0j zP?uKvpWb=>d?9{HdD*X^;C`Bgy4oG!e62b_HXe(8*|mWLh@A$+qWTOCz5=)JZFb#R zrSx9_mxNfZVkdixe!!6hg+ygP}|kY;moiVxVNF=mqJDx1Kh(YLSX*5`YEf7LY#q z!4o$W6A<$9xw)Ic59q$K*OMQS+7Em^r9J5kI*u2=CsuC-k?^S(ABx^JWAS6p?^@(x zGHCaiO4M?vd(OZjrK5J3(veL$v`D<#b<|D*Q|)lJA(mtA31$ksM3T7~NmTk*wKQp- z8T9S;q4EhX1i}VY%r$%4g8mfsDxv^C>$Bg4-IlBTp*lx3mq+t1=I#Y+w#rRx{0uWG z`3Y7I31-jV53pO=!tl1-MQiM*?TUb$=ARthe8AU2G}Qdu3&3guJX384;+jV@nvMzQ zg9fu{fE|h`PA;94z4s$LaUJ$Sv+4AzhCHf?iU{?6`#$gDeVT7~=of^K!1gU2PRGw-!5nE{(ZlB2cE`jS-}B71Uu7Z4HsssfL)J5;uYmY993 zcJN$7bxM2gH{P+bZ|qWCW>8wkKnEsVLzO{L0ImJk9x*{r)+HUt!2Y?uvD_i6D|t`kqPdY zzQYD#e10jY&+3i}_jqMo z0ecgzl>_4p?dt0|shNByynJY%Y&~CrY;QGA%P@QS_!md}EPi-XL>ryBj3Z!gy}poY zvcxxS@D&|EIP{k42omcnaUz7&w0id6KXR966AJb47p`)X8$Z>;$J8yqVtnpV?+-jM zPr{UO#t#$up5E%5A&aUU_Bur#W>+f=O{uA^-)WQHJ9~&hsFhTJHTtgi#~%z-?TZak zWs@F+`Dhz7=bq;IPn1%s6-#$UsI}hTG3nUwBDc@+j2R|8FOcdi>c8yYzAnzrH@iLf zX2h1qjg4OKATs9ss_n$4?k9~Tofre6e&OYctv4bq;$WVH1IAW92+nvdqVostYzAJ# z2re^mo{wRKawf7f`LKN+S(DReEu679Yv~S{h*8{*$NZLF4bQk964APG$U+!~^WiJ+tbOnE+`+9XyvEY)O4@nz0WDDCAB$_BMz#@8Edv(mA zqw<(Bc$A(OBD0v(uW|zCm&KQzp#<#>^c*_5OXazt`Mzv}YU}0uW#*mNE~Vy6FEHaJ z=dl}s(C_A~i|;PZ(q{K;+@ktdpq(!`&fj)9R8BB$?|taK-HO(l{NSHV(L28t+3{WbkOppykaL1O%cTju$nkp-+Fq)VA>|fNfb-f z3Xc!#ZrSj!Z~n^iryus*xr~#xXlkXN2dwDOIv;j`BxKA95<^N0^d?F!!($1ih*^#m zEFWZ75h4u2WGsF6%6EL(@J6=Cqhu@thf8b+{5>(@;0rb7>}q_qF*)h$dx5&2txweo zuk_4UXh}>(GuMcF=X=H7%NN`v=?(eeFt~l}gj}xVH2-NzyE$>8-h^6yHR1472a$;l z%dM8`^Rh$@OVY2dsR>$BcP0i8F>{&SytYwg)RC5wsC6>m5d3ndj`v0FMzjJlFaJR2 z-z*|ee0Ue``+(&rZA%toBw_kaiCwb2-#eh2`@lBK4r1ngMT9NaKjl@E#r_>kKpBUO z9{;4{j!;C;<2PXJv*ONK9$5sIB55*i=hGNjP-aJHi-Ospvx&Hxzh#;GccK7%K^ch( zc>mb-yqmVb+qp8j>{9j>jf4}-{p@2i+rs1em!~#~Bh)UfqD4JGX3X%&Q4?ID8uZyDAUzDdI1B8uyOS$M>Iocrjbd%xb&WS5gyxe_Rwj2vF1 zP-k-6m`DxF~<~HrQC*#l4!lt%UdSzld_2$?=tr@ zykv^VDxDm6mg6(rnhzZ1$KzHu9`Ic%RaL0UPm#f^MHWystEk(VCYMd(&9qGUh-g{z zI4T>f@A~VQ?0YXiJR~ykgmC^S>!Q(RDn?x26*^0dzR`?0^vy|SIpz7NcTq3~`*W3| zer^8jhmOg5h!asz^2H)VtI5^(O@>Qa%Jo8a@lxzv$+u*V( zbBN-#s@F_c7S+hp@uLd~w|#CIKt>wrl|WHO1&=hlK-w^dj= z$KVP6IZu4~8uIVe45g9G{`gxZoXzFUZMNNrW-G=s<*5;9q3ycY`Aczm2tEdSkhUy- zW5zwTC}#A~l=Kf(ZD+q%_rQ1GikwNvYejXhm!aCo8za{GSxH~M?PQ;@+X#nB{b`9# zbO`I|R+{=@ph)w=-t$b#){J%JSxMosV?D{+D#N>s%NXC?`U%&zdO5AvGDSzXl=;dc z4N{4!j#p+ho=(?1e%wjRhWr(8+Uo2iENG88xx% z$q7a3kAhF{0Go$ywp}FGxCzo^Rj+>^{_G!J)h$z4C<{+;3)o$%%$hp0Jt|vxfu?VH zUbAjN%kTd6#tb19guq-G2ATwa1bX8;vuwg$Lgp)cd)CT@oq=>(~^9$f>wwd z?#hKom}P;p@q`;S5vZ6<1{eee4;2BTjVOwa+XySe7E`$ESC)*#er;0;?Ogfzmi3;} zVuKCPmL>H5>nFtYXF&HTRmeV8E-FY#joI<8&4COlU3N*t%1K&p2@dN{D^bYXI|r?% z5;EGN3iZb(^2{P4ONQ)^qo(?*Hsprl4P>L@-^_(8#$QyDc@4dXvS4~X2JN=7G1ia# z{NWXI;4gO+&7Zk)wiCeCf=99S5jaLJuWrqWOndj z5PD99`BQcEht6o_M6GhA6pY-_l(fA69 z8YizzJ0vfio4#F63h8YN{&67dH6unp!+VuotKM+^?^^P3QxZ!7RnAzD3M+KQS-7t< zjbo6npc#3p>zX=$0fQH={@n&AwBJ@NCz#&(h*Q&`ew~zQcyS=F(_3L$-M8n#R&OO@Q~G0T1K6B()C5sKY6jr1if+3 z8v#j&dDyW7qAAS|MV1u9oLvaj-L}g%u-=nq^LNTJ-s)fyQSWu!{x8_7GUt|C803sRDPC$Jm(gx(#N)4Z-07x$Q5$aZ6L!@ zli~rs4@HX4_@<06nxbl*JHgYr|KtVRIyfI`xuzya2aF%2O-CO^Gpw^X3>-I%t_yjB zY~y~ca?ZJgWU4{x^hi^oeQMIk*_R=wgXd9?miLfcZQ(l?^0SwjdCj-dU)AJ=UXVq- zALKD+zsk(VU4KgZ>j&quPq?s16i9ZX@9s(!0=3C4!@3jlzCk z__q1|Hu6>rojQN4=h*stO;;A81*t&CI4#tDRXrPHq!r4xo1Phne%a}XrsbEB^>J1Z zr8T7?>s~V2&y!@H!O2?h_xn7ii>V}5`%{fbyr52SULv|4JXsd)9gt)lE1=EDnPWJc zQux!mgc^9lMzVe}!!vL!emF4IP)S()so1<}Rf9ejtv&X{05tnq6->8!6;jD;B&*D1 zO6`?ojb`tEZd5Q9=RSAaMn2fk(p=ewW&#-6#?hzo$+W+^O<6RbH3C<)<&y$-);FR% zEgenZ8z*-HE3EnDX&PqT@yTd*N;aYg@cSDX)JxWvPh>>T*cN@y8jFXS;zLI6@u5dX zAL3Gmt3IEKF3xFR#Zc)CF98oWsQJ@7ZlB0BLkxk^Bm3;K8-?-Jf87?5(Z|2*EKtAd zf7FeF3V6eU54U>RsgZpr_h#zGr3>Q1T-^Kf?h_u@gd&y?^7iP9BFnsvm76^v01D6H8C`iWa-Z#b{N&4oJ#9eQ+KV zrK>~~mEp&{XXY}d9q8pTbR@-YSl`;|kcwe^95p~(wFCr>VHXQh9LJlJ16m5ULn)+T z@HCusupq%#Gcxggm?&Qxb!S$n2}Keovzjcw<0WXl{%IVarXaQH9j}3<0wu55OTKdP znO%AZ*5jWi^72aE5ifjv&&%;9j?T_!Jws6CwucPthHg!6OxXnry;kH9qS+6YrxB14 z1IF_`e0;35G@{4->iPu(Ew4zo3;m>`=NB#TaG`bf^%v&VwVsvzT+&`E)o0Uj;fJpG zN!4Q9l_;>>(umr{kb%FEeI&>#x~O^SD|_5pqO@GGO>{dtgJe*dyF6XpTIz0(JL4)Z zBQx2xBXK}V(d3Z}d$`-cQEd}L;>)ua=4= z$-RTY4c87U3pbddx@9^e&xu*~PRv-iBS}S+b47$+exI?Brhw-&t_i3b9%pnP8c(7EqO#y;;$Ra{aohM)0cnjk-@%qdFU9rupv9me`E9 zlIHC#`}~JRmR?Wu2co$N4?_+YS%c)vv4*xZ;mqa)`&kJB_?MOn41lSot8aC5eyvK} z_hg!gf|cc3?r!u)ryO1@u+6(Jb4+{>fP_DBmvOJJ<@}whd9Kgn`Y;*9I$xJ*QyO{ zs5>Xg;S&*Kr@UENrV^BoP?{Bsto7w7??RcZC0PrEWp|niNw<;Uf^}Ekl3drROQGqB z*W6uin&XGOC}5Fl8%V{t=?O)?%0rVI>><$PVFPXB7X>$tqrQ zp7rN`)7MuUbpT55GUeI4u_fjXR;{*ZpH5J!@V9op3e@*xxmjS^aVtcA_{p9}w}MnYesL*?dXcE8c!xG< zIJEPVp>4=%7jMeM3x^Sg6Y~OmmfKsl)-cPRyzU!psvi4?S6c!<+>IIl5Q5%6FT<}# z1Y|j_SYs`VzGzhIf+_4!Qpcc;6C(j#zB74hU7l_`_c6X1yO8H^H2ucg9*#FCnW%oZ zkQD1d5zr=xkgC>6$bHrdbMM=gA8%f@)I0YYZBlrZ=zv)RuYiQpHR z*H69tu=(eprL>@<;BB-oR5il*V4JMTKSnjYElslxL0g3*H{@|aS>3@tOLKgw)7m}d zy}AAu0j?SW7Eouy^KL%Z7e5}Qy|#A|RD6~z0HhA&LIOb);bMjfiLbnl>~nBQG{ZS4 zOPoNW#3$@_W;MrCO~(bNtO2^Y$$;p7h6KvO`{ZYW z89{swc3`kJ#+bA>a!)F~uV9buO;cw^m)O&kGO6~J zK(`V#3cKCC`vVVM#P$4q1CYrFe~ zmbcU^M>-w|Jk6c;_2xg$;mz=HxRbH`9azkD-`)O4yf~zRZOYnk#Cb9}{PUZg*cw%} z@E?Xs5ra?b6o^5OQcPzbF$~I0qRBo}({)xOml~aRQ>w`{+L`_4m3!yt@9I~rC)8-*85-8@inK9cKp7S)J<_GMaIDQcEXqesNasND5_2HB%tVsVZ)O1;%z z9Fxbyzr7)fS^CI`eeEj}^1GFb52S;r_Z1QtI7^SmDe?n5**2s}$$NiSsA!FR5@q1* zr!ry=&KbUXG7EnmQ8MUJp0@Ty^U%UHX-N3rO9!>|kGAf_tQw+zPT}gEb)finM69l>3Ikz)BdPK&KVR;o>ESb?;>OMmbnT$#=JS?^Q2Y=s%HBI#}? zJ00t%f${z}#w=@*H}PC`%<>B#oNif~`6?$0HReU+GU%*5-$cedj7ZHIV0QL~wui{2 zx`gRe^f;D`QeUyVs!^9~ED(HJZ^_E3tq(*wy|=l=n8@VjgFdDy-n zH=Nhb$8w(c^$7;iu6%hS6I8cve=D+Yr_C_u0^S!TS}U5)*$^d)=T2pT1mxzv5t6fX zt2CsfqvWUIJs7Mc%j)BaTl2e`gm3Z$l>M^&ZrOJy`cj!8&fV%wK4J+fJc&U9+me># z>sGeS3EHo2>FKOe`1)gnBLuL1_BS?4s!mnl1k7_F`o=Jx%9_NK!gUR<)%{eW;;(9U zetMsjaPg>kmx@@-TV6k1FqfUM78#G1G*WqcR>iSW^m$0u8-6TZzxVW0T!K3JPN6Y| zY_n6%))nL6%MZ^|!f>+p`@(P2a%#%F6tyZz_DU%Bhj?rirf9@6$f(0fY$>##O=pWr zjf4LfP}TA{rT=;%T&mNse+j1D$5;XSBzzoz+`E(zz_dVCG7b#6gfFxbV7L82&sC_9 zLm$q-O+ReLucW_mE4;wKP3zxof|8%^oy0)%mO*6%@QX_VYZ&nNWh~ z#xT{ruk8ASz@q)u&iDG^ka{=?ag{ed4J}7slhUjg^Ay%*JW=b(V!c3KkJUGN14Aik zq}t%|=Tmd$TymDm*7=C%oh_Ck@B9ihL(P1@E@a{w!C5l_MSfru=6C7Pdxzce8f&Pk zHnUyfFMh#JAN7d=uqj#GiR6e~DO@EDZ{FrAvM6P@h?~XlXR^D$Iu*; zo#)?n_xWZ9%=^SJ39+nWuf51ep$p(|%2zbLoM{~!!tHSacUqQ(INpvRWqz1h7}7h6Q`fFzx8M-Tsb73anq%cKz|8E#Pjdhe^cS8B zwHw^o8~xGu>8?UN&%z#|lU3X9ny8wsBJZwMCo{9l1;1_DS#eu7VFK%z>})`nFgup_ z6^81|vwL_Y%2dy{)<93&yiwNv18LMYwYjN~8cC00msHcqSsM9b+?OyfqIM|njYKZi zAj1Xi(vBgjNt>p)Y;j=ye({i!qm(Znm=b#Z3N$lXka1uQo-7b*jcr-4(s1=0bxTH2EIvEV~n90r%r)<9)1)sse{Y#-D>pH-WJlyq@ zX#>*)a(1eKG%OgME7Ig+?Xj8H7tqXiGzW()kpAFp)7b30STgi|f^Q9YyS2U*gy(-p;9oPb%4T9$- zxcy&*sM6gD63xwnBq?V^<-{>Hd#NU^=Wb}^xl)LZJ0;Ex=esWLwVz^SXxRFl@qH;nQEz}Vi%IKa-?NTqGHhDR0- z3gE>*+Kjzpe=S4My7)$jLM{&U*_c{By{f=5Y+=6mcH{~PQ~jG{FlwkSFi?fEk7XS) zK-Irk&v6}u=afJcvus$JnH9;4xcr3{Rp$O(3XV z9u8V*>MN#6P4k#&y}reTPU?OE?+5o28IZBxOph+KYOF#L?MDIVZI z>(M4In%C(R%tD=2>*MP(=TIr(A>{aFzQM$2w*rn5?-pWyhM92aFuEsT{bg>g?j$w6 zm1=!9f6Yn3d?G}6ZZm^~coo^OIf|4_p-XDQqnT`En1jr?Ciqpt`I&FHzzwPxQuDW! z@KDBM+sO^XhKO*`DpF!YNd9c12WPzishV}rV@sMw_vx?i}IglI^>?}=OyvGPH0c4xIEZ`+JF4|h1#Z5Z$*S;b%_eyz3^HSyOGF&`;nF<)10Dh zj#)_)H_-x=YEzph;^eck8DV~3Gs;fMplSMDu>)7T0(+pVuJ;*^D{(uXsb=)%=`~+F zBdMlDc0kX~ip>#0Fu0tR+@S$=*JUu`eB=~sN$XFn~82?+gmM|cDc)+ z@~cEl#Db-c*T)IsSsRIzgsNZZeb{{3a-A1G0PreEX3ZzfSy#-q2Uscx(iLC`i@KoED~E`_sD>si3hj^Qgg&Da8l= zYv$)G^r3)ja%tebb8Cph*)>lcer*%>lmEjA@6IIM-R;j)l-o0S$1T~vCGOQu>XyIm z+#6_G+03U(`JJ`BOd%itbLVT=1%psZ+FuE5WV&{oAV73u|7N52+MPTO-YQf|^4J5E zo0FjB5dLXIUhd4h@n}mUoONIFWP57vt+k*~Z)$qBRV}3{_S;c?Atw61*@LU;g9Crg zBVW1f!~tu&%-c@!H-cQEfzNBA)WyBZDE|r@*_rNT=q5~aSct#zQPb134_ zH(=)S5s^`o_GOmjx(QS=r&IqM4n(86&%n!bS5FC4s#~%Kxvx43CO)5*9O~SRiEB)d zgM-0Os{f8&h?INqv0^?izPaP;&>^~~*Ke$^7|{`#88 z8zNS4N3Vy6_gF4*cN1t&wrh8Ql9!{fY~PnSAAH|`IDISm3JA(zDIpz=$F3C7cD~2j zca$*Qw080EK9Yaa6*uS{BI=i7?`0Kk1%*aqDF~5GCM78b;rz8LtV*>A61icZdp}+R zDtF7ox4KJ@_zo)kF7o&7NzModo1U5_)RazM?Zte`Q)g=DOP zJiKA>!Ly{+rlxMfig&rkb1an!0En)u;#DH~yWCS0F?kg3@#Fxne4GtGPRm{j2G^AO zqDtunmVZuGSA!6UW@Ub%av|;KQl{I_lhqHv^HRbr-35YdVer@By+2CZXX^tTH7$CI zQs0-V5yc1hSaxOQ7UbN>){andeWq^OM(_x&|@al)LIbzW$RZjzVsaWE6YfL>gQi4LF5V{Esg2Pd9_-3d$mb)ICoN~9A>Im) z^1sJ_1f0F+=}*?vrT;Jt{vg@UwZy+biCV$4U)DoC0-{?tEb+V!YwYir@7TzI9>_lm zWi0X;I^rQUmqWG%Q-S-_dJm3K&Yj$RsT@`Mx2HF>LHGD zx@D4WNUcQZ1Ai6#Yf|4vnc`EE>vz>lfU`%Y0bSF6KCtU_72NCHN_blcX_n4~^paVn zf0n6j$zRtwlh9;&t(b`*9g45G({4}zh><1bmBbw)j8tstH7xJ9gaJBtC*$SxoosDV z4QF@g{I2iRgNAQs#~);vOl+k;^!1O+I}8fHuE5bh*}XqK{U&9ppy2f4$w?r3{=Ls~ z0bPTg`7uEVs@uoax_l=COH%zB8>{`+YiE9Tl4sDAaJsB4iM-6|J@mS@J<~6I===F! zm8gYQavYm1B2t3pX0FD%XJ@7?n_A{rY{x3fwY66cs{uh~e)!b54N1brV5V{>FK8Go zbuL>xMVqIwp>3ffnOK2WMnYn%Cll^TlT57efX+c`321u`fM|G()ZXthUAm_rv(rKT zuPEv4-=KNP3kvsUr*TN$VQbXcS*wEuS-0Ix=N{r}q2 zp6j2qHlSYmybW-7yo=E#s4W(}C2V9=iJBL`Cafex0SFmSF!hSJu$LCo*P@2Y1#cxW zxa%mOgrDJxfWS;1dYDJe@K^x(tss2vHTk!{iz75F?o(uw%{n7>TKTGkMrqjYWes)0 zIH-V@mw1@V-=Mnlggz39a?|(?qdW3TW48Nlw-gq&3#!qT&qo;)%(dcEk4)7Kf1?pn_!UKt+woT|$pvxeW=4b>PVI+@waQCU3@{ z?7`C#GNU;lfzUI7G5npN_wpVNv|Nwn-**jC4rT~^n7sKt?b(6H#bE+2?A=M<6|v{W zeeM2OEAUS|Lsf)YPPgY>Qm&up$R~^XvfG@xv!`9r1P%fP;*Vtz3#X^s=B@9wRMN=k zWB$zXnKL`mT>mu+4X9?*+`0L2s-4%r+7zr#H*)nQ^F~2_Kg{7a^o(^acrB5i7LL+uDk6nP);YOu!50pkNa z&tJH;ECQzVZN%luE@5O8F9+HA`7KIweyop00azUH_pjjPgxmg^pGc}FJhY_u*H6cV|QPC%HSy9_|(wj7A7BfjlhrNd$4|7T)E-fpo+~j z^isg@F2n)4jBUJKO9IT*f7UIJl?1%rR#{XFvE^ZNVzbcaPRWSC?@STupoH3x4- z+>~9~{6?^L>Xvm;vbncwZV3`pakP4NdK5i&QFrhs+OZn1Y&YbVO`&7qOdYrGw<7Dt z!TJBgO_R7Ri8lJ7ESsl2_VC)Ae2ZRx>xh}dZ$cj^^|F(8EnF#i#!w6r#_{0={DRuC zv1Bw~jE|r!@#zt%lK+rXqN|(vMPSG_O zNtZbo>3Q#uT`%vD&(_q&CpXT^m z|2=BTWVeujo|O`bH{Ytiw||ZJ$uD1c-|NMuA@6p|{1{3-O>=VN-e}?aJtxEoUH+Mc z#FxX|m@3TVAtZm;{wmYFb%0%-1ywP4X_x?QiHrRVV!0@yHQX+0m{0ObnpD?SYSQ2K zvV)rHUOOr2Mjw7bm0|YRc<64A=j~Qwd#jL-OW4vnpt91J)G*LdvOc}-)G&!GANTTu z=G+Pqx`^U=vy9A}GLh1eUmXFfYlgP9eh|A{Q(aE=pY!bQAe)(8=)>Us#wyd-2W$9s zVJn=v@TrSKd8I!B$>!7(Gh&4=-v?gBT`8b*2-Bfnj&tP>hBjtL)|2mBnav@q472l)Nd+^UAbfXxBkrBH7*lS}^0 zRcD|`#nY|u@4TN%o44q(`J$CQpK&HkSz6l4j+j2*j&F)(Y6IG3vV8<}e;wl@E;?Y3 z(CzkLlBvuI>hqe`;R=@Lrcr9|z5`zmblxh$xJ4)lA^5X?OjAx-p6(1PwxT=?UdizC zUDH;4mf%ivV4O%g1^{3EHnIIEk75Lj3}4k|UBUtdLvc$TEPH&cV1r+8XRLIGBjjn- zTtD||%dPe{0`rksePkq)R71k2TS&!LnAX6rc8PUl^@*{V20G8M>^0ZjZ*!Hw-7U*9 z-*SS!+hI29x4N|WNd_n!kNBezd9Sm+oW>PphO4O{cFX8sf<_!XmqhvFX(5p2>%`9i zfc^_z2C?^_Yy2zp^>m0|H=C|*_^-$mXqf&=;)cpx>6+NK>wJ}k{gP5FEqEsG`u9

4R?dC>xAACOK zaRhj`14oWkM;!GF6Oa-h+uDr;O~-6bS(9yDk?y0ad5PqJm(iKR!Hv!)$rnCW29o7d zTYwpRt_sY4k%JmbvM3~MVwc0Ec@b0{8C!TnfbHh)J)Oxl*z+J)UGF35pB6RTb3 zROTY{ob@PCQE)JUTOI~LmHiSrQFiR9n*za=H|c_lh#SU@f{3~46SX{67Q<~!>qXT(`%m#IWXwj-dyrfAp=C?^6;Y>gx+5U) zcb5(QWxmwU1n<-xoi+q3m0kna)-#Vr^mnPeohTye%khnFH#L32beEc&?;l&fTjH$O zVOcH4WjftGuInlucXvn3oHK+c5q#Fk z)qspX>sj*xy#xw1+HoV+24d)( zw^5FBUYlu_eygR}IQc(p?43O)-sa^0>7u3~=}zsNfU`sTw3lAZ_``eV3zh%eY1tz- zgL7vQ=6wwUsAfH9U3S=S03u{`9@)=z@m-Bzwrf7?c7YZCE4fYt>l)Yqxba{1bj6Zx z6)>N6iGXM{Et#O00^>+imZL&bQ7K(`qh2Dd-pT%vAo(SV_FbmSD z)>QB^o0$WqCqnGOzbHt7=&`H6jIK~|5|8|eYgz*|ng}*lnNzu$8kaSDe-@Rv!-uv+ zDKAIVIu?a}e&rxjhyKo$+7|-Y5J9`QmhYShW>EIn)mPOZXoDZTiOgr4pejcHb6_Q$ zp<6P!bx2FKCi)i8x&kpk|MvM2EnDhjk-u7B{PzEJ zl#K;vTeqm;%(>p(r^3wx3}#AbHF{6>viz$uK+r@GLJ4%?6QQLikK5!8j4DF+_Uv&w z8?Vnw;nv`{aW*e^Hz^D>2gOe73?e zfh*jeF>^vsM{f-L6+$*X#=Ty*6)|n2KfASaGY^AvI%loVN?;EYxA@Rc%3+?-+ZCD6 z{%1uqK$f*0CpwLCr??%jdWa;2_(HM-B0ZH(MD$AC!Cevjhzi5yMC9qdzM%01~yABum3C z>HdM|9m=agAM`U?dLDQc#K)Te52Y1NT55^`^h!+d6mm?P4L_vkK=riSmJVpm<$-o zKYxv38$s^|*vwU5SgqRE|Cb}6DM@eX^qYK40t|lano|{fxSET}7=+>TuShV!T*mjFn@FDmw$gaqC$Mjj}6w#!+(>%YdCgd z`%TX4vHi9{i{XDZ!#uS8gpsa(aOw2=*Hx7h7tb^QQ*AnSdJcoxMk46WoFD`<=v%vw$+1>ow6|%^1K3)_vL0s)*A#E8XY^-{$DSc z_KH8j#V~7_S_ib^l1#}|@F*LMZFUXhdhhZohVg%;%w%SZ`Nizzk~E=}0cc3ym2IAs zxSpHgScx1e&MnQ#%Ov+s-Kx$8NE`-4MmB@z)GHqg%4fqkpG-fc{TG5M0N`)vzYwG? z-Meu20~5{j`AiSws;hfEie0snF+)7OQeX>Q5BMroJz$(pwpL`;Qna&jBR4?g z6RyE(>2i8k;WS~3XNUb1V*4x3&3og2b#nj*?Y2@58xxVm^7K9e=uX=hq02O{$*qvP z34pVxfzW>%p8${?k!MW(W0_ zNq>9tSzG>o)_6~$(SDB$)O349VX0V}%va}MGi`u|`svpNfS#_h2=o;&zb#0*v!y%z z7uedVezAR4wJ|EU*nm#*(Z}hE8-N<;kNHm|nc_U8zAKQ}t6QcR@7^d^!Zk%J<(l`V z|ED$xMEAYcZ~0%VOO)aV2ED{Y)D>3$s(^$L9GY z$Q$)X-)si&e%=jRwHSc>=ej5C+3Ano(v6Y-c-DSN8{hd#zfpIr9t1ZPV&3_K16-?u z|7zBoRf9Z*vUE5LVSCqQUUC|lNtn`i@|e@ZU+d&gsF0T_k2$nfhuMq(|8M8tju_U? z-ZKET>eT`&$|A=tf=S;_2Pc=hd}}*K8xO{Q-cCUqM)}|>1jmU_U7{?bzDcLFXl4`8Ee!GGTV6(A{-fz3$JD8s+EsFlb3)*jNo{=1;m zT0ayG`KmapIAsy+GXI-CS>hjQX~Ypb-3LBY&4UGH3FQs1`#w39RsMD;IKe;!ZadF; zBY_Xh{HTrzNr*=BxLa}yjA4d?~aWp^(*3xAc^1DvrXtslkHmj_>F0(Yy*4LzYYJ`zlkl?{std;OU&G2qhVXN zX1)1H?T4-I^g91n;>S*~KWPDJnS&jfz_g{g;Y(Zs5yWHv*p%%tzp#1SKj!aevs&|B zteE!G+X-$i66k_VKN05nzrU#4gb!Rid>Lyv?` zdc{L9R&-wW;&h$xg`z!i|$+1sWyrv@TPX zmNCO(d#%j42BZP{Im#O9P$lz`wqjWERM4fxZc%mOZPCJj84D=MX4y6I z7)|s4aQB|kaDGwT=tLrgNQ7unBf3FEkDiDqK@eq(8fNqoMh_xEbkRm9dKqJwF{6_Z zb(CnM6Fqt-jB@AyzW1)X?ppWbyY70|{raru+0Qw@v)kGGoV^eK)f_Z|3a6v4^KCt? z+bhM@6aqb%)A(i}-|6Gb5D`5=si&IUQ@Wx8%e@p&HsT#G(Y{svO>O7d$QPv>Pi5tj zNw4cVsf(~R7}6H%cqN=gl{`vT1*_(Ic1c`iuH`;cFkyvyJJD;HeLdad=Smw3anX;w zHi1p&Yq~j_nnWuYi&U&QHPT7Hbvpc2gZ0vm*Keb$W6WdcbUfPT zJ{qjeUWj_Tq?@{v^Fu2Xc&Dw)vzSsA3eN^v$K|xz9qoZEZEvLaucQrV& zDAJ;X^U-p(!^_QZ$4h|&Ud!YQXVijJrYC2&55vKG&IA8<+3CoMu@d>MZ_{8Q8=5!j zvXY9f1k&6*q2Epfru4RxS>ZQ9@$XfC-Q2SOYBN#RZ6wn7HVIR9AI(f+r-8?Fvn=kY z%}Vi}{kvjhIJ>vC)esP%K@0%Ga3;pFdRG|D8iWJ5P+dK+!S9Peu4M<$2 zpXxs}^W|+pomD8dkG|dB@aIO|L2XH2<&8x96w26O?H?pveB}|nvElUct+txT_)6W1 zg`B@ezTjr=ex_kVozV@GYOrdpWK6mWU+uCNChMEhH4g<=HB4~E9f4Xo zqY{hE#+??x-bZGZ*G2|w)7;^NKE^HCrXZcCh`%X0?W60H*GxeHSIW1fp|f%dSO05* z_MbG0{{p_-vav z4^raxfbpkCy;n2{{`W7#1W|SF{QP41{87f(#c=zn^RK12MR2}vdvdJ*gYNj|j$1|E zwlNe-$$Oq)-;}RIN~2-_{3H5Y5BVl{c4u;c<>!AK6ZqHOO#W&{lb^CV#zgs9%&EP* zfR+3Il;oa>I2H`|E=|k)cPlqO$edYZYUSgWaE!j~NA5%|cg9587$<$JD8V};MryNZ ze_b6RsrxaCxN|lY_0El{a=JhvLgo^~kl-YWYxe3jMe*mE4%mpA0xF{Qof=*8x&=bspI1J`9fpC%$`&5>$Q>9Y@_C(_l|E; zGB0Sf-t}i>n%RIUm>(|x!S<|ZC!W)b*O=}YQjhzo!%68(Gjl(KJ^Gq&$tqXo`XaKP zIYv$Y=eJO1>b{J^C)hMI0Y&51bN9rOyx+PI%KZvLjp^1=z?U+yn~S7t82+&(3P;g5 zkJ*d)9$7$iWKTO6z3?py^&hVp)7L&#w7U2C;f;rWWlqYoiI(_f^OL-|Zv|YMKYIjI zvdpy_>4>(4gAMDw2aouKu^q7PiJk3)s;&u*S%kzKntS+0s z5{=N{oC=c3IX`q*Ku(xl{^|s1bXvJwogX-_SP=?&Go5(W@RGE+qU2BEFDzQ=^;T<_ zWYlqQLgllV>jN$~&dvUy6Pz59sXjWi=ae|KUK~8fufMgfU)q#n-YT1>51k^c7C&r> zenHy)c6s!;Y6wA%pREl&QcLdiV1f@914JEV(hMlE;JM+K^I6b6Z6l_ z>P5&I0l|PCL#z6vfq~9h3^B+RKKj?1IB_6~mJBsZG0g4KvmM=QrW5hx)KpkM-IJ@4 z<-YWHRzeU{w#R-65F3qC=b$@WwA`m6Lm)|v=PZZ7e_R%8u_LH1o>SAi@=%FTP`TQ= zo~-WWMgJOIoy-9_EmeU1n3$g2(RCtTKrnvLqm@Lqmxdn z&y*oNbIT_K(~PWqH38Ku{cF7WhJJTQ)fYPqg3!{MJ&R4dhTOKOx1dC99_>)*T#3Bx z$0!&Kwf8@2Ptn4>*0rkdIwAT!Ql9PH@2HX4n4$nDIpZ>;!j}70a)B;M2C{_)US2QP zDlt6@)yE2fIvXCOsraG-0w%=$AJY9NX|598(rOkHa>Zom%TOzNLsYN3ZCa?qhvX)q z^P0&|h9@F3s9*!HVM5sZEsGGkfGKfrj)z5>9f7XCLR&QhQ!OK z&tsC!77?3Z<$a@xLpIb@`4&f%5~H2fQ4i3YhXV2;|A>C6Ek*QqPDW3dTtf!-Li2>u z6cR_eK)*LMvu_+;1#|34wj zdppF;+G;ov=R9}Iv??R{zu%icWbAjX>-atgb!X&Zu4JF6bRSC)>G~cFYP)8XZ$6Gv zW^^Ep|8J4OP{>DsN7z}w5BK9~f&kd9!m@@3`Jis8h<3o0SAXjqo{mDRFB#e}Ob=*TElm>c2LpYi2} zS%8asb2x>?*xD+TpQ%(h5yoS2PCuz-uFt=&ruPXY7Ta1s3g^N!OayA42;P<&ZJkqe zU1x9#;=I>Q(17sIwRL}c%o(f_i9pCK#=PdhN+%x9>$8bq? z9TO8bI79oFsC;rnrB|~AXjd`QhJkT&7jV*#w|%i$_P=qbm#L>`g_?p{?Cew9v{&-0 z)Z0!mTyLRV`?&)>#Mo(iC-ACm?I5Rui7xSO+ND&(!o}SN4d-V@w?PkE zEjMm)v{@vgq+YYR`@IR}`?%OFhs-21UAdlke(zJkWm^Rr(>HTv=(3aY14{94pMB^m z$$PmB_M75sih)j)HKML4 z_*p*lRaF0T%2n1SZ{f=cEfm_Ko#BF0NwqSRKOmH6-Q`0@91o3-Nwdq7O^MM60(@?e zVLN3Kx|TaUw1=-Sg#_8pSwNB=ZTEVUn_t@Q=MeA`vSJ>*h*lUsDXiQ=4{_a}DFxoP zDi0kcM!p%D*_UK@?hUg4IK>sDv?RME-lQ|~LgM@Ae|p9oqKRUTT|tl?hy?_KL71rh z&w^S4t|`&YTn&A$=&M=(RO^Yc4Y0p&*G`5_T=+*~IegAVV1R;ODmauxAPNi#(xHT; zI4fC@tMwjEI444d{gQeOLf1HFQRO1)!ju^#xAK1qcrzKTXAL^0Am&6X7C7IDZulI`^4pd?@T!xzmEn;=0XBovg6*{piH$qS^%H!9`;vC(PW%= z8y(b{`RC4)X6Fx=(eID6p0t+PIM*FQo;c27{}>&Utayw8uAb(?AMwLh)cneO0%*=n zg%mGL$O`fA_5#iRZK4{je`vTPST+sR%s-vwbbRxRdA0fsYv0$Lrr|BJRrAdBOL)hg zVer8F-pj<+!vu+BwedO@-H{w#T(_`E^WP}$8iCf19l=dmRS(HI zqA`_z5W;iXU+38Ns`IG}p^Lu`s)-&MJ>CPi1Dr_?nK1;sXA+De`5Rr#z(%elO#EzM z9`NJk75ce4Sr0e#`f<&AnPj7ivG5 zxvJhj2fyDSdlu@--)?WF*_= z&zWWx`YVIk$yR8D1^LnC*HupwHE;A=jpBRrtB)v1WiT!9qU^6&DV2iTF7R!l~NVJEbtf2-tuKj_2l@%u2Ox~S7TB_thn^~ zW{5DRVfiaV0r#mwvGLUV3`BWlL_5KNtlPfu&zuA&|ICI~Q>n=6?Z^%#RtR(nhp&gCA>Aq~IRJ+GIzewR!#A63}%)z~|PMwn^fKZSkm(WK9oLyowN5ACKTlJ)~@aK2KZ{ z9Or5Q77`zApET{5HwW#{daP8?bJ*&I*sOYL6G0Y^z!*UNFt~i45L5q zytx1I^7jny4BiVA5J*F%6sqE8Ad2EYB|@3*-*kU&AsM(HnAXbaFJ{8tKehqcayN={ zS+mf!n;7^xcuA_(F6_)AkgHkrm68@UQJ1`UccZOGC%-}%oF?-4#bt?K&@*a8+Y_mS z7MxPuDP58}bAH>A*8AVp0D#gL>1gu*HKDHmEvdZy!`^oy5dZ()yG8W>^WH80S9{g} zy2kw9?NueDB>rmzqwWHOxVyPJS-~J2Fn3P~g~$tgn8#a)`%716H&+*k3ykCc*vu9&Q|IsM9v^kpPFY6*ywUoCk#wgH14|LMhup zaz_V)m;hew!z}5*{iTTfuW>B09}a(KxZXRrz9j7L>lMb^iRUTk0|0;J(-Bx+Z`VfN zEa_Qqce~w9x5)4i&6t?Nq0*5xOk11nSsbf8$z&7#s@}b(rUU@|^FbzN)t77k(te8U`nDd(;UDNe zysZqO%nw&u6oepK+0fB&!Dww^xtq`64nekg4~V=Y^5J%Nkmb;#-iQn;XKfScW-nMB(84Yke6QbZ0t zn`)ytiEYW&J$Gt)Mq6x_j~Wq`inj+&;RcL`EDAg=4f|cPl6s_OOxFimzgWB86>tU< zVjxXyx8(4=M51=oeE~i#0N|5KUfq7;*Z>VD&K_jKt%_(1=j35ZlZ`*ezbJipGzkE3 z_|Z52L&WE@KYig3rz0fR!xYJ66P5;|Se4t9q~X?|%~m09bsQ0}_q66h@067g^>ZP`2A5Ir=`_p0V%1axZv~S54i_EGx!)7{N5ji3MRwdP1Er7m+p_+rMNUbU zB6pN1Qk6ytaQg=OH&6XQW-`0M4DY8^@8bX(s3a3|{g$S1I{)m9gA8y_n6j5|fM*I< z&Jo$VvH*@S=x8|@bZ08q1P+K1Vyw&R3|9|x|37L3hz9e$3_=Nsjla{&M< zs%xeiYH?U+5Gr2T@!RJUNVCCR9=_?)m(M3V0f2h~$wACqrAd4>z9&&WtSuMFo95e} z=x1o8(&}Egs-$=Fqb^5GUUJN+td{N9+Eb&Z}ElO(dd;9r4#d z^Wen$D%lW5g2$rQ&rQj1G3Dha-Dla?1)LsD@(?c_*_drfuO_rGYxig%EH$}^*v)&p z`LBbTYEzZ27y&=_%K-e^==W*5dMOJ=Sek{6zptwphr*_MF#*pA2??g&+RD! z&0#hsCM<>UVhejO+20N3lYrmlyMle9!Kc0!Ce-BFi#{#GQ7U9L<$U}J znJfwl>_-mQ0N;np2`()XO0o^ViRME1o7tk&)&9loe{uGA+uGi2dYNZ^KX{E?FCpr&qJlCul zaM{cW7_4ddT$%Y-3zy8~vbp5^aFQf6kHnqbPEI=GGWFH;9t?DCb2qC|T3?t{;)L+U zOn!XX*4#3_n`8JcMv@S4#tGlO7p>OwcKw$9AhYJwqh)Ryv{{&?E2$b+b>7qKK~3Q= zri97Kp8!I-H9W9SpUMf)s?OUTFv0^Qdl6>%XTX^dyl5t8)aI2WJkMN^1QfkuNU6cf zKy2Y_y4hqP{_Qyv#ek&O)-XC`*-n`WPtD0UJvfpdoM_!tI^AVFWc>yv_8$_5L_EN|r@km2`nR`v zKvzS=mHSi27sCx~g5~$wlS!0G@Isnul*9)AtxQ*WAT!M6SaW|2rs1}rcW=jYJ^vQG zYNKwI=n7nTg!K^5=u_SDeZ;1dv*5x2$Xb|a!RcM>O$?JE_+VtIOOEhZ(`nYJiPYP9 zV^4y;RubArL^}gComMHb)`$I?%n^oy+gGFR_NU$Z`$I!L>n6zxCLe-?#@3IZR6#TV zSOV1Acb*!drV`H;x?AoDGIyFnZ!)Fy&82PX2=6WH(-U_R(!l?zgrPjcngY$ZjR{EgNW!QVn~t zbmFG3oEzSzih4>&Wp%%?sFxE>7K5VX{TlU55F_zQ0FIArb&sK?X9K9>hYQPh|0w}A z{qZ!h`NY;n(317nmXgPCs=HF3kYi0rKSt~F;xih3J``E5*V|9RAq{>)()Al4{4*`Q zxak{5FPyQP9Ps7v8{)$9c`s5{@W?Me*i;B$rLV=cg71C&L1m9uXlTlUv_x|FeU=@% zc=d#?Lx^rF^^H-#FOP7|ZYTJSj$aKe9?lN6P%KOW#Z+YfHYPo+qV9fO2lj6Y&*<-2Pms zNm17gUxl=W;CxL`qmGFC&FOga^qx16zJ=ub5>lVBQDS2Cg1Y!;cMXo59GJtl>kWtP zxHbX{7+9vBl~|eyHpFfC&bWt~@=4d>84haLjC#aNV*COCzi2Jci2H$Fc2B$g;mbbH zWgj!*{bZ@6IlskUlAmeY^<#C?V^opV)w|&xhL9d&Cmsmy#Ie6u>tfN#902>PzrahQ6KB}TDMWoiH5Amq!xTcW>k>e#XqceTW$*7Vi z#>Uxi0FVEj{;v6up0SUuRtHDva_%7e%IHU!a`J|;cr|vwLQ(-#PS|^WL&-;OLHj9< z6<36o*mRV4%dtt}A4P*h+M5-S(BL!ynxKZxBZrNAlfwG_U0m)eW}?xaIKLJ(u0Ze; z_PPi@>TJ5g$?b2F!wWO~R?vGBZSI9(NDe^AuaVM%Uo>NA{;-=lTVSt)gID%{X0Rnj z_Yg5k@=_(o!2s9>e-| z8z*?IUn$E`4d7F)Zi8GwIPftt!%!LQwTa4BX=<%_@9};7{m9VroN%m8X>3##1^w@eOaebK3GNLovFoL}(FuY(IS zDT5m$hWMkNEd)bH@losMn?ZCF=XH}Yx-!UCt5dv-PO8L#UsdXr<=M&$@|vH3+o{V6 z@Kq+mq{5WyC5I{WCiB=H%8TJ$&k4%3Iq3*@r*>@bRp;-07zSZqu@gkqj;=TOPTKhJ z&s6OXca(eio}XEVU;sDpll*DguO2p8&Hn@+R~}2R(|O6pI6y8Z{}G41eikt7iu)BF zfvd~$cTcucoc&yj9eI!xm?L|9m+d~g&<_#?wfw{W)EBm0T@9%7Nr?otut26GiiQk_ zeDgE$;&t;o<)ri+Ba8^IlF_nsu|f!+oc()V%~F2kdDdU#LdPnx_^~mJk{UpkZ+Nv_ zqGk-29Hge$h~4SI0?#Nt2XVT1H_zS@qy2E3CNY^>MA`>+>K2CDhr3 zht&2FL4Vk|l6oS5eTIWwqrTmDwsXrjeiyc$qC`e0FS-3i(KOaC!b~0c&Q-ij)50zV zjgx6|dDo%_e>AY)%ZP)3h3-4GJQ}N}fD8IaF`+t4EU<|v~TRO#@dzTbx;JLFi0UqWF(ZNLj$c@U;A&@gr5w+b?s*+ZX}U1W^9 zmyG(hCOeC*4QN4{-v>{l%%Yi+XKux?2MgdeLe`(n&`EeJXQYX`mtobvFjrvP1{i%< zA&nJtvlSIDf?YWBk1WqjMQsO$(ekPEpKzs3-k;-bBCPB#jDEwHLk{^KDKsfH?f=sx z4sm-z2|XLyKf8P)#yuG-q&z3WZQ7zB^7wS9pcI(T7*_PzO2+GhYQ{4cc_jki6Tt4A zD5{-Q2-Emh`$H%rp;meN!Y><|fA%k~-LxNF4V-!Rea%qUbtY_o&)U*D znbv{fMPXB-C@3$BZ2r{)Ek3~QPd#yQw2$yb5klS>}~pO6zD^zIOVtSn;yH@`scf^$qNgADZRvnB-+yk_LmK4aLa8g|5~r^x z^C{uvmN|0IWq#4dJ{dumQUmc+?~Px0E^qfu7pi}uuS~CY_3F2Ce)iWLKhz(N!K4_Z zr-wqWjWhK9n%UufRj(@v#G_x{YHr2V?~)F)p0-&~yqbEtnRXPSoB}4KXA3dL$~YV3 zv{nH&6FXN1lYkT~JGOVj|H+Bid3;5=2Gkc6=&zGiEP<@1 zA|QkwNo+?jkxXK*lqCpo+}#!=-GguJ-Aix;!S76?-#hFAz_^L>loeZyuaSWZBiM}v z6@fq)w*-_g!df6yW_^xz%$`oGWR^iA+c}S@xfVQ^5>&FM$_6Ec1jAbygDi=R;>hxT7T?JdBZaKAeq)SbzpKU{X+oIwg$5yOzv97Sc8()x^r`T){0}28Ky~|<9IAcm zXwC=yp=$0w;GSFZhpxB8C>#hIM_;9QVkVgM^TnD>SZgF*{3pCbj0w-EgiuT?|Gs*{ zVy;x!rBsg+)65fnUu0>}4ErjIv-5OE;_ZoDnv;tUyu~R@D66_QI$0 zWS!bgIW&imJp~+x9uZO#G$_zN3KRH+eenC6zYD+EO{il0yj`B>o2ZP&){ORVtm#!$bak>+Xl@%}*;3rSPh0?cMrjHM{{>y*N? zM}eI~;=@zb*xBR;iAe-6aN|g&n$_`)wt9ukQt_iNm%2*!NuG8#@06oQjduf1PUqdt zxyxtkue`DymS@=wM)S0+vI}oX(s4LloWDADn7f$t`#Lre=%Ff=**B0k00a>K?4fS@ zSQ#Ce5v$9&?l%SQnz$RV2iZZ2`|_Nn{jsxwNTvjc&~RQu-`yEEA%6f$9blIsqJ8&t zZ^L}6&JnNC_SG=Y95U_{vA2E{s;CVqib?xiu`NscTOM9mRX*R2t|XO$DAaB6kygiJ zj$H=Kz=kYqaYWUM;+WM#eZ(ArckTDq=QN`efu;bk7!W_y^T!jA)h=a3)&3Nj4;g1xWcL+uk(5U*!XqkD4YOqJGv@bE^niqHB@GZe(UH z6Ps)AAZ+^(`rZl@WrFjuykxm{I~w95-Xw~Vyiwv%H`qpbYlQ&w-0OJN0uEO8Ko^aD z5wzTJKJoORB+6gnvvqa?wN}`21+IOP*F&Fm^UAEDh2$DPmGxqyv0R(knXR>6B|#;yFv+B)bXUA`T{gd2n4qV~*~b%w+MDt5Ky+ zeIMEjk2WlFx2#YH+zx}9DFQw8#^GA5r!Uu(U`+N&&F_lebQ-(%YRST;9xtgssVr9} zio6LJS6Y1uI99pnew(1HXWGT|Wn})vDaS9Rqvg1w7#U4(0udoC46hlmbcJO>*5WAI ze$O>|Q(rP(yPc45dQ+sQkr53^>}+{{J9l&ay|O`+M{Grn3ZbXFg9Gkq$AxfQq$?ol zI0)MP=rlyg8$lM_(o@~P%x>+GRzrp@8 zBNNUICcJ{y-q2-spi zT#ZfGjkKgOwxDy%g(@bkH)}V>oNY(tO$hAsf4IqEX2b8aT(!oW>Kcl_JX zMYft;y*TjSWi%yz#QdB^O<^112 zUdM*Lv0l#aR!3MKmOzkw9RVGf)!{UYv`r(4X(E}Wh@8+xz?EI3r^x0PI1mf`??aj3 zWnY(&7+>`l0jHA?4?`nc!mCjaxHH|`-|`P)^}id?WkbP_k@@|7=C%L2-FvS{Ynk3L z{U8>?Xn1=T?eekLBM+zvOwn5!DVa`IBAUL(Lg<%6_S{c zD(9t00z(-y?`V6}pL{31wi@Q)C7&|k2tV=@_Q`P#oc8ZRluJAdy;ZwR{)5fe{bO{l zf30-b9aBum?+k|o;JtY92Sc6KGN3BY;--&NnLdQ2%H>M)UPhlBe-nwZAS^-38?v(f zzKj##UvO+uJPdqYbFC6MQ6*bbOEo2@^Zk@e3Qm`%9L(3L7!H|F$w@*6LYA~zr2Z8B za6?H_rO%iIT=<$d{}6BNu{>LRal&alERgD;fLbZ4m`3X1UsRJ4G8?EkfwtAZ2J!>@ z%;{9W(KJ}6=R$?;iR_);4F1d7qWLaPe)~wm7q|pCV#0nj#)`^d6n2)_#&5GVkq4KE zq=cZ@9ybTY0&Zw8SABf$+254TFk=Z{{YMSd)W6A<#j`djrjuvxV)t%`o)?32uAsyl z8SQ`wnm)#{9-f5U?)#$`y}JqIIElSrUv@2$WQrAPcJ_;^SoxYKa0lO?MCV=Q3Qmb~ zX8GAltS{fx#y?+nwdKXMgYb4(Av=S@%=^%P70scHCpd5Vi$Ff&sd9pWWA-k(my zmUHbl@{t@AzLzM)aKF0w-{rj-6O9t!-=3ZO+pKjJlX_{7==`h8m#;oOoenM0UrZ6J zyDtohl4=R4)=w=5<#&h5tkZo}YC0~Fwx@?-Mymzf zkuJg8fmkryQ^K*Ne);zR)jIeDQC8%TZZGSnkTF;>XD*!Vcyx1`Lh0!U+vNp#tx`zS zqY2pdz}M+-%7^Kj@BCp$3$^-(LXMtU5c_YFliDkuK~+?!^D%K~R8iT4hf&sx!EPP% zW}jtDC{`mGYPCVN89~m$ry$+U^)eH*0XEzpdZ41s+Po*dPJT;gd49Ux>E}R~pFose zsmM>%v)z*)lhyILNW>%L^QT)Ab$QuYU2n7@Q5MN%g2{&cjbSQ4K(J`gM-^yWa=DUz zvr5A4_^(9vPL#nL&%N~#Zd<}zRvr6>+LSrpb8V4qh*{sGbcWvN@Y3btgZ|CFQ$3`i zpipkwW57@S3u2<&9Z&JvTk}4y?AxVR(YnQ{hGW}3tw(o85o%`a(WB0AEI6^zgw8DX zCE{N6^b$mC6p649F|;xQw6^(ZstuP-y0L0XJAgn71A%P$W?K~yvjGBwEA$y0xu!h` zV%KCuzO(q{qBV3>|KRt52a8yW7)71q0RkdT|B1R(evMu0Ad<9u_KnSNqbsa}$+(<0 zL)W0ftAFdws(V{i6(@w-rdT(sfg65?`j|w0j|2R2ExqjZ-$Fp%%c`8!2%3N2QAjv9 ze{guD(%GCydoNmNV-CV=8)I0k6jXE7PY|oA1cO~p>XA7pS00R3)-h1rmZGR)tv=g; zs(zj$NWuHy(xK3#B6k|_=`HBZQi82YYxn$fcn3O~V;9|f7(j^D?ch-6<)6iQAZ0a$ z8-!l`O@bWMYrXc8Vak_&Db?9ef8?YpWDYWOq&jtZfd+)AI|s|im#c-?zMSoT#aCW( zwV&C?PStTNGxQ~H zQ&r6j_C_96{{fdi>;z^V2>5sVpdRp-rB9KKmFF{8gwyW9!<^SiHeo4sRkW0Q4iELs z>H}pI!H2xT!8s?=559#oC2GF&u~%UVB@a+ox#OqCN^a@?N!eDOwRB0yZf4CVi$9p}-m9v&;zrkyI2>B}3z7NNS zI?U;iwH47}*E=t7t(LXRZ0w&p?a6Q9N7YOihmPU*0}rNOZobIF8u>XI$7tg?;J^T4 zlUOm`1Qy6})+ADI0goRpzLeBvK*mfSoj?r+oc#atGRH!swreKZ$yh_buVbp0#;UNP z$?osw4%>g_I0vZh24?O2D+N&BIk~$0r@jD&FaN8Q&@|TNAjLF9o+~{%(jnc8x%;`P zSM_!~di!g=Dl?Pc7S8Eq-$oc@X=LNRtQh1+fYUNaX1Vp(M)!kPa8k5_ z5&ne44j&T4rA=Z6lR_q2mzF$7_rro^Wyk!;ohDXkf6f9$P!{D#QfkHXOIq)&X~pXa zN5_UW7i?%>jzsqRx$EH!*q9)%oR~wZ%tRXy{c~$jgu!g{-xg1xyBk(d!DA+d9Som2 zlHUCxG*$Lj;=)U!`e$x7-sV6*r+k!CXy31P%P6q^G?8az_LI-xG@ohC)tK0IGDLW! zit!lQO4E>>Ft~c1tTAYl<&RhY!f)pqx$(y)W4=5!g$_y)1ITgZaxS;@RPZIB(Z% zlStV7aixW!Qx&)=5*Bog^OT;C-@_1|xryoH09PAu1cNRG!xqE0lL?`>?Su zXIM&jJl%ng#k%4#!rbi` z1AY#`#ygs1N7roiVOjI)&}$ok9Ni7sM65SHGTUL|i7HT%QQTB)#Bc@e^>fHz)PNaT zH~ET;gR~32H*-jz=`fJ4KWx5Y-UsAac~<3YU>4T0;O!kTys0VN(=y}N9M&7t41*Sw+S;WyKtGwf6Y|X3DeH=q- z!w!tG8X}~HrHozvJ3O&*zuxNM7TbvL+6SNFYf4G)Dq1=UY}6A}cKVZ;hlX&bRwe{e zLn{3$enh!Q+Hia3oQ_x1Hh$dme#Ivt$BB9nY@b$t^5}GQYoP8+ThsA=+o3^26X36v z3+73AYZvTGFqbcF-3{GItmKIU=zeR?CC57Cmg?z>O7nLjHz0e*&X_qEa#0`hnW!8n zr+6}&c;@%u1%qk0$j-j+71KHhKuy>3SF?w64qe_ds4?!5?YX+zu)?DPlMuf1@wxAz z`3U}AWQSbS*t^3{PGe^Hj50bHggg2)m(y|aL-KH1Wt)&_GIG+8Z9T>y+;Z;#2>AQ- zKFuAI5BkLQ-(4~!*WbS54>x++sQgT?yQf;Fwl_;(?|dS$WsQ@(y3-p9u9byB9qHyDnyVE zKP2lgf{y%gXS&-u=T+0;cjMa9vRKRo0r?F`JYU`334Q;Q;ECD&d6?{KRKMM^;Fa~> zy!C4>`OSq_`Jxw14+r?qar9JO=#VF9;Lr@EhCpBD`LYH{GQ!ti6ROSKa5`;a5YThh z8f?x_VxHBwm=Sa|sxFSrut6K`U*)tgHN*4a+TS}4H3RpmqB$#bNh(hz4GNv`*fic> zVlZ=i&2#%v+|fq@jC4$Ci=w#|Q$Ci|VL#)B5pUxkFUp;>SnF_gc0%t0Hj_h>+1a0W zQbzW=AUb~l@idbS@MNa2t*Z~fo@P_S3j45SE?@uimy-1GQE!+tsCBRxXqC|Dv;MVd zu*Jrf7Dr-Vr*VcSy!4{7ZH*4$lj1+kP#21+;OVtznzM^UDw8C1($=Qg^Iaf z!PD3aT4${}D6%1S1oKL0W;>DDlfi63OqXWv-M#1eErEvQK0>{OR47=g7Vgn zZ3z*g7N6}krA|@Q1(K2={HGo*MRsOiz#TNG<;!x)2);!}s2x44^1%yQ=HY$;s9ZgN7t zbgiT<6rXC1`-AMQmc0VvXJkO7Vb7GzFb>vako;R0KV%{%73l@_%$L4U-c$CT6P@%J zrkK4#5|0b6Ro-$aJou_dGw=JHRXNEkgUPNF&1ofbI)ZwS{%N_Dzge9>%qA*(B6D{Z zT?Szy?fBaBMCC8$&361Jn-m)r<_-ie|6WAuMtv_Xo%Rzd+?DHm-~#0D)~hAO<_JEf z+v8chx+3z_hU{+`nOuLTc&7x_cr<@*t-LGYI$2b<8ZDwZBb;w0zBk*N6Xr$_fWbQ{ zgFG^KKlgs%RD327<^p=uOB2f~yBAer#CA8Cd@3`Q!;=2S#i6x3rG_0+hBlGks z-`wY^__m!Flt;6{8w_8BO;^G5GhR8m_tax2uP1127H2#SlHDB!d{2BAd41fveC)?=}K9mkeHK z)VtRVQ6^|L*5okIeNmtUyy$E>+rKmrHdlwmjG4&=wN<^tpnD@UEav>> zABVD*&JEcK0_(L1Qv$^I$v*=T_i;b-W~|q?k)NG^H$M$?$Ve$x1XrANa3AgD{~sJ( zbwJbK7ex_JN(Jds1gT9Lq`O0D#%LHhK8U_LiQqtY<+xPeX zK8v^a?mPF~bMBRVfFl~U-ONVR9V(9D*$A|pGXcX~K>7*2CkKaOi>(WGPjxBjt;86@ zZ9q|uph-?6pT$~a%pt}y{$|)=Zy#1deqfI?CPIr`ZkJR%v-#<110JZb;p(F{8X#c+(I+X^&Ut9omgP}|O%P2T= zCarOd!Y8M-?Ch<2$n9YhtW4BKF@sA}-K2T>maa+Y!`V3>|6CnTuFjML1oGK2c87EU zL07HQ_u^0WdAkV8(fbN8tz`x*KRf$lV+TVzE#!jx-SuV>!jyh2tlPZx9jO7_|9@V9 ztnYlb(fNxlsKcW2`r)9G?!>K>(O2Ky>y0#s zn6@|BA;tzAxY? zMa!zKJ?AVWYYr>A{&cIXpFkbAVV3b$0d*$r?a%K*N#fBefsft2^~AtxBZX^3-NfeU zgb0qMI&l1ZfQJ6Xi)9Wpr@a1SbX|!e4C^oU+pHQH=z6sQ*7eRZa(Ao$F34HkaX8DVC878s!^IoyiJ%s$M>%j@ld_fa>U%|#2>}7aS&Ab zBbU$zYT8>#gO`TCD66Hkku-v~Y5&v*U_~KF`;Cy(t=N{dtgHHrh~SQpp@`kKmdGB! z<|}=s98o!I6}79b zqhSA37{`=(zH5O;oTaqDq?gMO1vFIBsSEP7z4u09nS6$nn<1t20G%Ob9HNSGI{WcP4x{Jw#UdJc~JjB^a zR9r_g#SJF1G(C8e@VAB^UtnMDUHBi(ocR9A>JqNmH^7nBZzZi2vJHR{itjDy2B)$z zUhRf^TbbxpA+sR!0`D;^0j3;_q&8V>lISf%D8{XZ)zt|*+l-P*n#T2ZB=vQ*D%f_R zKD(?DV`UFctqD-c>NNiO6SmW(IBS>2%d2ct@psb6{RDlFE5;b$)&Zu&=x1K$+s6%! z@D))Lnt*E?5&S3*IZTwG{kGz0jh&K{5yye6-<~yQ7uvRF(cj>1u%0d|CV0B#5Wjqm znD-A5E3(3Ik5XLmJSt>IPRYn z^D{5%U98=8^(Ug_foP~%(z9<6R*-ru=dcAoWf8Ip;$k*R0pLO303El&`E{n= zNcvKrPAqKv=d1WU1_DZ4&USBn*HY0pMyWFQM=mVg5)L50jv$-Pr|tibiNO+ExHw3m+b0d1 zuu^(|dN=*HXdEs%U>zOzZ)_BCawoN$LQw@-^l~lc9+8OZtn5DXGnMQS!W~-^pgmvq zQF|3L5KZ_;=XF8Y8{2Lq{H3ZaV&9(wzo3&G=^J40oM_rLSqL{fgMeRw_1!XWtSux- zA;|N2$u7YY$wwxd_G?$$Rx$Z8k5yG)ZTf1^`elcahX-KBDgo;Ak?l;pcictUu3`#7px7n^1Aak7l2#nwnhu zNEq8`$^OuL680DYI0A4F?A1O=P;hlH&!dd^FjHh%G4(autnxG-JHmX?hOA*=Mj}_{ zJQCy9U_zR&ndM5aG@Cc@pO(3$|$JkVQ>2Q^s8f7&#@28;JU@J{UEe zc)#zUPM@LtYrJunlsp+?|3+VrWT8Imq021$gG^0EZ%*t!+EK`=Vq%Y z>jIWuwWbnnNl<(KW!3aP^^0N5m227Pdc!UoT_!|BZk9x?j=>jOz++p7(ftPjQxDj* za&T~}ZC;)C85)r;BTR+#VLmbzNz5Xr^P#PWcH~LQ;w|vBKj4`oC4Z4(8_MVz0&GxA z;Kup=k|&3eQG7Od{4s#5DN&ClT;-VX`qp3kimEBO+9Xq}F#-AkhBT6BC7B!(sIap= zZJqZ058TTd-_hdKNUX9o*VA8p=T6`uUTl5IWt}`=<#H#trNvCyt>id8@%IEO2}RSs z$zrvkZ7B!GWut$YMRuP(RBc6B;%s`-E*E~UC-d!-PF8rM!2(*RNMqk3FX_-=p(KlC zT<%oxF=`RC5L@sRB_2Q&SNSb;69Zjd499p>P-Z;)5Owtk=W(hH$9=;~l{T`YU2ZLy zVfa^fz9x1qw(D4%x(%u2U6HW3E!k8?rn+YyQS9HhcZZg%v%)RRU77tuyw& zNhEm#q>Ij(eOZ;fEG4?Gh{&@gHbxV=r!&8yD#e>04+^L(Ut<(+9f2F7 zA2%c(?mECooAY3|JYGJMl3OA2E2x*GM=H+<9=v?Pxf=1#AQ1lIZjl>=)nR1Wu>LuS zXH-D#<(3+#xutcj`DW+&O=%ZuNlYfEZ@fOKQVEbzJrvP=^{oKs*+aL8 z7imfFTEId(WDEKRAdY~m)_yH+v3Hd1-#^l8%?YdHM0?S zCqXL;@|{NF=nP^q1wpYo>~z$n6L=;=|E4~LpH0EqTHxP+6<^y5zqzpmdA}Zy(GbwT zf3sh~gXO%I@L*IE4tNq9>KRWh>j*|SRCpq4Lq&*jf>+X=c>}@*@@+wJL>PprzJB7x zoh?kIAaK8mUWxSC%*84pc(2 zQxD6h1AFQINKn{QOIhU2q>jA$^EfJbndHAUKrU8D;KjbfCj|6z+kRSKZ;>zb9NyS$ zUT3Yr=C=yE4tZw?OV^6IV!?TwFwu3cgHZPlFMt)9;LBpKjVD86wSI?~o;B^a-&3O; zOoh9U@KgyN+vO|{7j3Q(VVsuiiKh|o^0E4-%K`}N;o6S%xRYtamd6rzq9f*Ys>7!i zADwmy)9-=;dgq?Tm0-^jhcFXKXOXxdbv8#c-cuS|PGP1x4dW+;Ix=mbi+?-004|QM znh;w|mQ%ACmh6P!efnk=gB~+dtvl-93Xv=EqN~3X{D{6v^td$v81-7dJs;Pe;v&sl zUsepj#|is#y^p+Fj)<@Z*?2D_COq??&tRwdAfKHPOzA8G`}8#28Qikw5lAwKsDEkU ztnalR6PecgPB7&(Qs?UNXWRO>7^>0i-_|k-6U5stYgjS{IC6AUdk-cp9V-#D^B1$A zZBUH(w54bWLjrDx;HEr$^Rv87%g8VDBfm*0<`Qrof4xRVTFK=Pa1nO5z*6kDyK4a3 zYsAXsLF_`6trGt{i6$5l1Cnev(G6)tGaH9E(;N^ zN6@Gw1?Hq{^#S@Acd^%qxmFi-NoB>N@%S|-03D4`FY%6Wzyx>rs5?5Yk|#`8*)qt@?#Ol` z;WkEjJG>u(;3*A9)oV+qNpQbqPI&9%*EONHd^N8hJi~Ej2ipS%l@bY4)t^NDaQoAP z=&9y7j^jQWEU4wI^kCJJlFF!qM>5Ak>{E92!3~a}h2n8IWaN8;FRx}&r!f1yig|>u z)PL{wh-CKJ`z2Mfgo7|o?pz(q8xXGy^D}02B1?4l&4I|<>HF={R0ev1L#;}G?E%_2 z1p>6uHp<)!GQBIgeAVRaErL5azO!?Qq$bJ3y!_EF!{5n3_*uGCZ&|EaYnuXYEDVN` z5>Tl`K^}cNne)PySl+c|+!k>)*ifl2E?LF2fYG$uuxSsco9%bI{7b);IvM^|{3gYd z<^g2VYxiIQ`vg8O;=5)Mg=AUVnanRCKgj`m#m;dLHWsw67T<08y0Pm}ZHvnsbNILj z&d-{qzeU(XMkt=}rM5Pix#Ybo(cuu6zC(_+Zg;Im!7~^{qgo-xX?t|7HRavjGE@A2 zS7)qEKIhZNJDOhA^AQKkQbLN4SWi>U`T@zn)U7#Zw9v?yB?vtwxadyrcN6azON}3x za?fx|gY%4;siXIKJ1&e>JVP~_Oyn+yHwl{W%MGqM)o8U2ZG=0O`3M_(!qw1+I#A|0 zI{jchVVq~rrp*|2!l*p$@Zwo`>@{Di9_B_KQs%x%m2zPu)D-Lm{tDV(>IHmLp;G-fl-vcBshvO9(d+qDXPnCD5CTUDYUNGA*sR&Dvx6t%5_Y zv$wn0m@ol$w9)Knr>tJ2kwkYY=J5Use&CyaB^)4UpSEMju}}rUW9DM!;wq38aZYWE z?FTJB5rGMg_C)p3 zlOW2|DBLfeJ|=#N1}J>qKSn}QRvG~`t&22EPs=}hnFcVHq-DLtPrhsBPSa1OBEt{f zfT*b2q@0W|PjhNi6MBfaIt7%mWoBvXqoS0~>!mZ4jbC_hP0WN%^7e&G-S(;pU zOsE^T4^^?+-6DArEfm9n#rxi!b_VkST}0eFFsw?+U#%{aFH@4SIug4j-n)t* z&F4D74Zr7{pQ#lX%||O{G?_(W_Ckv31|?N)sz1m3N_uASNV^?O=&)U3LE=(b(hX z)cU`sfN#vvRZJ0&Io5jCN~!1{o^tbrTWn(GNa7>&rfdoZjm`i+iw6D3WsR(TGTRWz zzd7S!E@K3E=F7iC`c%U#jM2`v{Q=;a{g~hFAC6u^(_h8s$p07dje29&tSfVYYIHr` ziO5Y89yvO*(pmIj>x(<5-%2+n)TTVaOGTKA932FJk2t|I`vT>KZb^6Im{BmFC^_OK z=A|V{vm6Ed-Oa^9#h(C2u;QH!im~p)4ANrv(?JA^^5)fpIpLADjy)agG>ErMVuM4y z2HMxFZ3Y(lPz2-pVRFX{RzPL&OaIy{wb33}F{AJ@3f( zhda{$Jef^T^OB9G^FrHqcJW#3gPkuh#$5Y$>(^-B9rMp9oR@dH%Mx4&`EM+VSkc5* z@;hI5&bZ#SQ?|(#i!e)&?|F1FF){e3?fSpNx}9!mrGUy~?97oDpKo2g%+-^9vXy1O z!YCBXe@krok(chAryLZ=`Tv}5>gSVHvLc*gI|2=%bO)$w9MF_4w)p8nJa zO9rcIGbMmtDRA$KgzvQ0{b@))RSG<$FNk4mse5ti+MRoNkeJO6OgdvH{)Grs3CY`D zJ+5s!pC*K4oXRs7(wV)DkQL*@xi&u>sY_&z{S;;dBRAcooP4WWBc31+OS)R(=>15Q z>WBd+rSI7vv63{0)Br|ktdCL@p+?jK+iUVG?%w@gU19<_ejDqKF#xX6s>hJXjUH?& zstVgE?E?91_VgcCT)Em$Y3R9;Z12KI<`I=9MB%&v{E`$;Ql{ls4$uF)oeK=`>SKI{8Kcs~y@+s&?=48`j1LVUHJ0`# z$0T=N-w6oJxyOQ#)01*=Ks0kVxz=y9@yn0Pur<7du|k(4prBCaoQ*2-5?%i)b#<;! zZ64j=0+REJuQ09XUtda9do@*H76rmJ9qS(Jh$4zm+_K?H7c1f|al|+o&aP{kpv-O% zEPe~k;rJ_aNbUr~3ZvD!sp=`jIuX{;Qw(NW#z$w4AN5AA^crOb%HJwAMO26RdEFnu~Y&>u}1=jDwKH>jBCF>HDc@*{2 zZbmAdb8`w2{yZE4)M<1d*}P1M+OEA=Sq{I`uchN8@XdH17uRf>ylMRQCxSb{8ao4E z&1?rFH(Oxp_)ffX0h6yeiMRI!MbiY)m>fS{>8)O=?acMvh%U(M7(AB?BEa!{Uw3vF zS+DFzekFn%L}vK|M&T_(sS|*UmD)PJ6VOM5ThYcryi=Zdj==<>a#@2gUrCE^xx6;V z8w}obe#hsWlv0_}+&aL>5>T+M$w% z3y$g28LN1erIdC6M<)lKRx`BZxgc5qJ`BI@RNYq-O1Nm^U&IT~xhAd!eEohjqGLay zT_H7Ne%%+b0PATJPSQKRw~cP&

aX0Jo z(u(BW?w0RZ%8#id|HVF-3pdM3c|z3y`LAt)!xR@u^w5ZkTX%H39d0CKaaE+j{(D18 zYwZMTFl0TtL`aG(&C05VDQ zc6O0|2|JancS4!d;=NAd_V6<(qg}K++k%jt`ZSgP$7q7T2W31TAVQiwz}hz=Oyk#V zKn|Fp8|zMIkFOYCTxbVYg%6vKDh3T}E|+>--i1ssRO$qn<7|o$Dk+LEqn`QWJ7JRU z=W!cd&PYjkE11eh6y1=gLu3Yf@z3EG(j;%lQMFu)rBvu6&3!Yl|axRRqI5(|VO}`oQrFO@b>i$e! zm^8}CbGea_9;%;g5xxK_Zbj~0O?t1y<9po>@x`#S+`Des8{h9$m$jThg_`W0Xs?lG zb}uT%A6TYeSCj`W|(M|whh2J7G~2=(-&FO&E6^OXi|yV^nDXSbAlU)IutOA4F-i`pb?3mi^O zQjd`w)4VSJhJZQ6z@rs{{h)*8{e!`F;eub^k-{rib@V51N3L%ek~ zOR-iV^9lEmq8D@T$Po5#P*_Zx8Tk!VQ^G2WOa?M0b58$#3uFJf{nTx&HTm>)4~e+h zoYhz{WNVbipw6AS%I{+&@y$p9cB9ZbI!Im^&LD_geur3Xu3upDTER2oeeaIGdamc2 zTKadpg>=qQu4Ay%RjaPL%-`Yl(3~@tLj;(UH}~$tB=QGvd!({xp-VtbkW)>I8)3^X zbr=}E`-OZ{LDj0{3Hs}V=GCtX$Rf|omknyoWJtnR&ikIzcKKVY?g0WPkQ=J6lV^9( zg)@upVtRF9_ipkUnf4=|bxZ+3&-j;GpScqZ+b~8W?DbuN8Iq{q|Jbqq7uiaO3}4C3 zHmucWH`2U}fAmr_y?QqEhmm>^EY#HIu95}K8}-t;_OGc^>)I!+#CNj@`fe5qkfax9 zyHm>csk*1<1mQd)eCzy_@3=2T)5gfxuXWLTiVf#Sw1AXo*GKx-YBFGb*gLEXDUGFK zK;C~Q$^v}AIFIBKL%Uny@#Z%5G!*`#ec_-JMYM>MB!ByOtuDq zex~(%f;eF z7f^!5BbAl3WJiqEKKH&qr-Uj*pL>jN?jyi)Zhv{d^y1_GP$NPg3AUHl2iR@xfauEQaCEIn`Jz#jXX~l9XgqQ?=h)LAjQN1wAA?kAxyz z%2K)I%|>2N*AroKVf0gnG#^x>ZFM8^9@XWlL)V$%K~Q2@t7^s(!KAF-k0w@2Al zk>6G*eb1TpNs~8@!$tT(kM$9zyQwNxm|=q=dA4mwzw@Vrw?xvZuE&Keli6>rD}Y{> zts9Mup7BFgOxk+(`1?A_18JP zHEh>7aeYZ@slIw+FP!WFRO_mN|L#K|x?)ZOC{9J?3R;p4Y<2s`LmS}#{*p`r)B{yX zi2Qa2a{eF1il9nGJjcMqfJ*bt;=K3V zFXI*|!p|Man<>UTl67p2(W(}P`hVZ4ya`iQz3=Eb?~}ir{B>`&Z!EVuFdAkO)Dd*O zaa}8QWc8}1=9%H+U<+#MVIE=|p1#Lcuc0xq-@ZLt)YbC%uhHSRFl!78REUKB3D(PMaaU{TUtNf?73a^cm1y6pf=yAK8w3BIM(&WpyzD>-VL+M7HG#?9Pz2}L-LuU3M zeMM&GX`*}{@n3bo6m(IF^$-wulS#(W35yw zuHSfnzrU@Tst{w!0S4NclBJwdj_XFL2t3AWuV+i!;!N?S945@ zTL<=0c4kC{I&7sM?plp+y#|>jju@H1DidgQ(styp*8@Bxmi?5Ms*=%o-WCrf8-#I`rPPMwUQtihR&vU{gN3$*86ITUgSZqGv*m(Fk&T_3|^lQ7d0tX>F z@$9iUcMeVVJ_ubktbwg`zpjN_X=LYYPwT2#+nrP9icyVey$IxckpjW91PO?8KE28J z+F$`JYpmD-q9^+bA*sF%qOWDA;z89oI6}2Y-C7B{xbh#*)nqx-l7FCa_fPf|jPHC2 zBWQ5{`C!!l{kuSB14qApzrRR6CB!k0z0_&9@T%gm^FHq!WiKx$o93LyYSuH1hcjeK zocQ93vrQa94SgHC?lXv-GiW)hFWGt5@*j>z)cjtF=RhvYofdYZnOf)qA^v^Ho3jD03AIZ;@gN+>^|)9?XH0=aCfMIv7wD+d2v71v zEukLUk$1Frtk3-}1B8AGKI8WjXt%*sraMVkJu}i5AMf_^?-=lAv3m9ef+{?HZrA|1 z>s>tT&IRW>4bxM6Fvskoh}l8k)h0sqoei#%M+1EgF30cI?4g0|#g~!d(of?*)B- zZ)cBCzmQZh@_dFCU8uz5L$YE}16Mb`@ov!)*CUVJ0S2UHg`qN!UW}N{PwMN{ya2Yo zSvXXB=Bd!-V#tj%XIn_RovsMr8fyeh2rMITZ|Jv^Vq&HXsT8x%-l%CK;DWXFOQ$u$ zb@MwHS3-z~o_T3){OymwHBgzUz&XR)c#jW@ z{kumsp{tY4xA{EtsD{5dJFV6kK;*bVxT|;-X1RXG$kyZO`06K9hI8}9|^JhRt)8NR*lqF!;gYT#p* zdl;=d^a-#WCnSiz3i?@hL!b^Z_<`7c_^I$3il=H9Z0CJ!?G8&}1u3kQW$*eRjuPyD z|A=$91hLgah1TY_hLH~q8v1_Bvkkr#>YsfoqS#Y6;Um1- z9OszydB$UL*RRR5-f1L$!QxeFs1uqoBRIosx0lGszq%Dk{8LIgx+62O00A#f?2N@N zHP{GCRimQkWBZk7g~>H-XhF^J@DuG=mX**q>RxpDZ@ib1>u>LcQaEjRA9(JPS>nBA z#W89N5*?;4<;!;h=_Off(cZ~ad#V7rO^AVXJ2%)hXTv&l=gLl|__lM7R@TMWPDY}G z#(K%Q?{QmC>w~%6?kH4gj_PnAeVX|E&nT{7db$cHLDBd1w%BGbzZ&Rgi|jyTFT{$i z-WTrGw3#p7nnBOTH)gZEf)4uz{sciMedqh$--BX<^` z?0{!pN9ryk7=dUbQq4jpgc`MgZzF=t-3IV8;1)x$)p4sX{(LQczPHiVuo`DmW>``W z8>L#h(8{!TTJfGY)ydA9<}r(aTDV3x!qW}}1=%}ho6uEB%xoA`*Ohc!ja^+=FHw7M z-H(B_#C(33QK1Vcz6HY2T_b+xN49xW7m#+j`aZms zv+kpN+)OjB^uXz=MQm_LVWk3orIEfKi{6VOsguo-Fjd|R1j9l+LXX-n&Q|uuj^}_HxT2?`;COfp&%?oC@cJ)GeSb|LPB%S^FoNla@^0qSOEg zzIg}no;#f0#P-0ZLAMOjq5St*zfN*l$b&i9;_FP`lZ<}pkP#rNSHBzhN}mQ{HI`X_8ZsJJ1BwbixX3{$sMb%DcNa)f$d8Z(RtVeSnYOETzKJ94LWA+wL2bLXyw zI`3%xT)rt6_tSr!aAMtt;wp+7MV04yZ{ zJ=9%mS`W=LP9F}F>#9IL5OU__-VWa~L93emyA11e7C-FZux;*txa|Qw=+n;HdX7^g zRwjscu4BVPAEk>6Ohp$hR;(qaJ<*^sg6-TpEFy%k4lDGn9mdIizH1u*t9>oruTf`; zJ2v7SP{5q1r%~h#x_5b;&c`CbvE86?fW+w`X|RkPc9XsPw5x3}EXlJ?Wh+V6Z+W+=kqPOYu=Ipe@!aS%G6 zWTlC*uPQp02n~N%IaD1z?(B_O$C6<&WE3WN3$SIDOEs=;hR2 zjQk^5Z##tFnY-BVYXAZwcH0$DP}aAUwYg{_o!NhHIvT8n3q+i^zB9(lV}J z0~enC#k-QRt>5t_asK?k4{|u1CS4QzUI#jb(2EP`x_VKNdjX1SftV}=DQ7klz!r05 z=f`~E2G2i=mkNA#Cmj?25+oL>i%gggUI%i$2I<9{SOi3AeP~OlDnm;c32hQMub!ya zQt1Hv3Jf2wV(Q>jvSW-1S>!0g?~mn2?itCInf86-7DFL=AlY(Pz;rbCeQy~%V4I*$ z-(yH*r1BXm0cxQP4V=o*oOc#%@q66}gcDw;TrH z>9J!#=p4A)bHZ&{{bPfmlb!*`E-@`5LTSZTL8C}AK~XOx8)+LTzc+ejG!C_I14YjC z*GXi4EXn0@vu(FV;p9lc@1KwnNU!R)`$OJUsimt2=!Xby5c?}fE$?!oey7^_?m$xR;`~Z||x`9A!>L#|;0+5TO{mic693YmOzhfws zJYqd5as4s`(VcJ7&9|o*!VKgp{x0GXnRJek_!$;DF zB29>?!6N53{?)7o%)i}ch%SJQpGsamy*HN**kjnDlSx-xMC6y2mopd4o%^m`*B}C! zFWCW(t8fXSpGS{^@p)(Nbp!Ef7;`1#FWR4TsG_s~QMf@7fYA?)*pmR_Cuyvv%QY1L z;rqm_&J<@%Z}<+u{bnm&brGR$hq>5BA?QB6eq+YB1)k|w^FbXME2t!(-G*)1f2?!o zJ~<*+^3j^y_6){kKqy{F^^}hIvm(?LAiPP~re*XT#9>=-3oWu9AwhRkm#*+-vr08As*fqB`rgtoY(j zB-9^PW3zYtXF-J<>v)vw+9y}ka4;pE=D$}vDy3-hd#2A7AJslJpyz&NF#?EoG<~+% zqXv!KVG<_`rd+FUM@tglvJO^(g(CPp9cYcbXG_ZK5j~zXkCYE^VzE6kWkA{js-BBB zpvwW}>XCcnKye$95yW&k_#-MNRh=@|K%Jc4+V{leqC@pr&%@Zm#z2udnP5hfgj#{=TFBfGaSN5}F8~Vp5qbgcO-O6mSyN z&hFPa_k+sB3uxTozcOCpTC;;^+!IBPL&bG$D60_NiUt{{YV>t`o?8E@d(sF4o;!mUG?&A$h-6r|$-dzU%q7GsI9xYqUkw=UaX%@TF0vvqjF578~4?w#7!FsDCk>hbM}E^#qpcLKBQWIWS+M-a_r zww|sOZ0*bH)A<0!6zxtGGy4AQXtohv|7-hf8~p0enEkT(Y= z%r%5XEg7=3;Oy4kY%tJhdlf0^GN(`J94JV1{LYoL6cxH)E-j%i5NQ1sfej9fj4;9b z$(DJknf3jyl!e(h05e1nB74{So!e#7LxcQj!uoGr4cK&X?nl`v8SeVt=0i@$4q$C1 z`3aCH5_`~kJ2GD=HrNmwHNg4!^6kn)+}*VSjpKAFs#}8#&SVC_j9$-C4NaE46xDjw zI|Fj+$ws)KCzB;cg17VNcOuh(EIZNEMrdeP!&Vd!tRLH}tD(bcLhoOjg;$p%%i%Tp z5xQL4V*`TDH`p6)rIA%Kg{OSV2n0A9ZBYI$@p!84W*oD2$OdAh-=vK)>kvXXMLTU{ zi}{wI!X7K`hB|nyam%?grC&RwJ42Q9Y|ym%BP32AkkPRzCE$cMN;_u#3ORqcde!Js zBOyKp9R7-%t~!f|Dvz=ri{(5F`AFT!J8cNih|#dY?QIEz3ORx`J&zWj+D+2{vijdT zq31n)9|Bqps2h0Jo9@HJMaOX5Tyk=qK=<3<)Ga}QhJSwEw8Vm68SJ4_Jwl1Dq!CrA zr`QI}+-B`&7*YLd*lQ_miH+x?lRg)3~AN8ydVvgff4H z@v5z+x48%X8vN@pqG~sV0C&9g+8gETLHMn|LWgdIguKO>i=BuPV*dgw65r0ZW*JlABxZGUH}F&Q zGtgG_6XVnKVTcXP3P zNbT*meP)8jXJ}JM%vekCUpHLX>wf#5b%(wdPVUf9F1+BXE}o)kYUUv5rS*1MJ)N}J z3G^DT;Ob2C3m3l=9j=Mh=c^YTezJriAR}y6ErsP*L3#o#DzDkzHg3tQ;w^kE+4<XiYo)fW+lur%uKdD~;(F;Y@ew!=6C_baH}sVNo(4v*bq4R{?l7iovO?sr9M`jN z<@V|9ahW$d8JdNMPmPq zKjp!01>i8&Y4C}SFbY?BFL%0l2}?sWp_vsX-DT({p1VvgMrt4Cuk|A|Kj8j$^jx&a z{^P^pIOMZmP&5P6e*3;C1`A+YNY$UXJf~b;o3Rk1BiJP5>@U*Nm|lIXlF#&+xePMG z8C(OADo%m$29|0ZlW`W+JBjLli(h1J{sF1VXhSy54*|E1qO7nY1IVP2e&wmh9I3to zYX>pQ11~M3-|^VQ2&eTZbyZo%T16)Rr9ExFh|@S#l{?%i5;VzIWAB1YCog_xJgfHo zoUpP9UcaOEtCFT}Zyd4S6Ut*H?NNN$9&)(YO*dvkS=yhqUz+~rI`uLTP@(k|GD|^c zbSB@r&YvPa`D5mc=}1s_}SQ z+I~u{Oty({QFb+Uv^X6HoFjZfSH_mHA zKD=FgZ;n31Zu8pRrYbA&UKqc}X!cUuWP?a;3JhMax16nEG*e?>p)HFZ<_n0t`W)Jt z`lCwRkB|B_zim-&dUOk<=v81I!*cN2guoWxw?!F8&2K44otflMhx5bPS^7qNI?oNy z_>jRO*J&%<)QmSdT*hJqzaE$jwDJ4}!&1L7zm8ne1Pj)~Lr67K7Y?+|-g2uO+Ke^( zDV2cipVFB!-`W$w1oLZl1Zx0z>?g*K!9Q>IrC|L8qS*?qIR=7Q+L<|W0SK;k^kR7N z>D^+Sc7|%1H}5L7h!>b6m3)t&8wR=Tpm`dajqx+owwKKM)Tq{`RpERqy3a%!&A87eZ#TqqY=L4E81l3sa$ zbl$7^fk~XuEpPj(vb-PCLCX&CupsrvTX-flrF)9|vZC0DfZa6W>YzitQM-7ar-(Z# zZo?UMt>7OX>QE(JR~2yR(B4#&Dq)W0+CATyFQglO9*=UrPzvwAU6lUfxBvHB zDFI9Yxe>5CjflGP^}EVTrX)+-WyN=ddCWpHRQ&blCf~`;!;mHfV4H_gz^xkVI`J#3 z|Dsv2QgzlJ50XA?YB*^vq!Kuu|{D4I^WY zYu}Ii$3j3{S&S);C!iaM4)0W{BE_qj*%b$s+?HwLoo1|N1 zfsBlSwR2aq90Ww=RW)S(?XS$@-i}&R9Gt0Q*F!^d5OA|VVF3~14xn0ciP~W_6ro0< zeA%)VEh2zVtQV0(9Oy0)tCbm3ZEEZ)&;ksLy`Er2@x_hL-2hKX-6hwCPP|qM-xH^~ zNlUBuYe2A|gQ$W{BR~jfh^NjowBtA$k`ix@e=9 zsL>flFVV|Hk73m4o#>t4@qPRJ2anIZGUx2G=j^uDwXSt7UI$M8l$ts{Hw8Oe!E%#% z2S2_4tT4K9_EYyDq%UqXPC75<#xZV~VbNBgwqvb8TlqzqE$>6FkgKE*L<&hRa zXwv1gEcx*KCV(Q*Fd`Ba^L;*FUpWjS+HC4;qTvISI(FuV?CO*-;(=mDR^j*%f zW^+(ivUL;6J|KQAlP@^LR|EFfdbxN-zFW_GV8^>!uA=Z02Hg>?jd%Sx2~YKLNrfYQ z`*p2_@1vkX!tIB!&~xi4z#*6d|cE_=!w4f&)hC|(^Q_iQ7M5zB(D$>(SQ{Kl{bYS$`Km#YXx)ry(qCI=zd)NI)`a{t05pMfQcx-{DH8cG1f+Y3*p zUJ*_GzN8Fmccxret!GiN4%oB2RaMk*;o_9^%=DttwDGyQ#Me-g`R}?f{^xLjz85w7 z64K(^%xl7}!AKHmmPEcfn0i0IG<(uS2{j!}?K9SI zvXjrn|2&%M?K+_1SpAVo2Tqn)3~TH3paoUZbh|G*$&9QZO%`ho5yh;8%>l;@;*j^W z4yAC^1!I3B9=o?#jzM(>hrn3)3}?9z^=$v2F2&p;%$N(dFnkgLqb+=nvdBmvhUd%h zw%>@>mVg50Qv94$sh1!2vt+Xl05;0mt%U~eYuJjh@K@6$1bOsoq+sp7y14OdkpudK zVXiX1_O3j!kAHgPuNw9Y=ES%*Q_0r%rP<`?N44uZb;h;yFfrhzxhKD*-N5tvtn+MQ zRLJ?SECGCiM@iCjXG3q0-_<_#u<#Le8o9?H0SQ`W{@8Oe83TDH^>&hcf-CA&% zxg2?F>|(BXMzjbC6na85{QLRWUe450dK1eR}Pgso-#Wi-#HYRif! zForVa!*$b+B`{jlVd;wO38d-J`fG5{psw51ByKmNc6CvaiVW{hL+9zgB+Sc~8y*At z7dOi}!92moulN-@5eT}c5zQ>&#W}Xjt^Cx!yJMX-w)z9#MGecVZyYAkX9lR6vXzx} z*W7``7-IZMzh)*#L>R2_RfH^U?Tu;uovF7+_A>NuJ-#mvnKgb1YYjMpLP@ICJhpUm z`X4HORL@OtSNEgEr=%iMlxZhoP?729+O$34zb)7C0)T|(S_yW2x^8S}3^YTdb3L)B z27N*)%?3ZAlXxTCCM|=$`FZ;HY)xQnNO&MCWJzP-=#vho<^qE6Vj$i1V6Bv{d=I^g zd;gr0(@Wk&+wptXLc~^i&g`oF}RqT~fPN}umPJ-8E;&A;3e~Rmf zTgu74xL9tCoi9qrJR-pU*_5IIYQM3x<0^g%kSd?4vlD**W0#+G!Pxuy4tD?YSj1m! zCM~h5e}Az;q#L56^{8NK3n5S%o_m+>_p}Ih6LEVO6_Er{9Jr&YETzk~sGf33H(wh! zIJ={oPeD}5_9EE(@s_1&yb^ZB4NbhyC2POoH-3?+RvGs+pq6JEx5kwWn{Rz~s#3O4kL}2R9*Uu(PjTja-O`fj5fT!?257@=1rpzU939OkdGGoK_?^T&377^{HV3G0{5j)>GTV zOr4eXQuD22t(_m(QowDl#pvV>jSiZ3Y|2_n`{<_kEf7))Xr%CW*MFZ1mJ=S9x56L_ z%?Q=9ItF$lK9&cSWqkeW7$wsQxT9t|m@d7nBpdB#zm--L)4sqmiecPqlpE|cSjN!o zqm--5f8Uvkoa@_aSIdk5nV??7f%m=y7roSo#~4GJu3};xbe-W)WlO|b{It_)?!gPW z0f6*j_H;9*9YOkQ8WHo9jt;Oi4;Qv4Db-Fof#NDwwpycI%i@uZiZzI2#13r}3LOqJ za2(@A#8X!*@bX^CbO6Pm9q5AazzWYX^#v)HWCJjU03^)uotW4NCD_Q%{sTGk7oyeT ztsdI{PwRGUR>wCvJMZ$jU|88(J45-Hh0;{V8TQJt!30?$AEXtu&Ia1sK_2r1s`#L? zcIPTGhQtMnvb-|*F@bq_Bwb(JEshH$LgVHcrS3t)^q>AB^%|5 zIKoua%-GEg=rK~e73^grkTOKN%dvTW;o*%c+O zmbi*;e5=*Cp(x7XX{-Rcw(LEnSVG}by)SB}*dIZrN1`)~T(0j3Y=`428% zXN?5Sg-{`TAm+v@w}CvvZkMhbtrf`XQ}nEjFSf)erM`(nRtlTUFSPsRPe}JD2~!cH zbQxiPQ`T5DoMnEAR~mx0{dgskzTb`iFo7~daZ*leA3!C%(#3BDOgkxNU4}ZNF~A%1 zCo;u=TRp5DuI7WsTzYE8pE{yW07xR!QgLtEigb!*hZcYCZ9vcYIWqT4d2EV70wjV_ zZ8V?X@P)0hjU5|>_@MEO^RAaCG;N3MRsWY_%PLPy^FKM08Q-F@b$Hk~T&f#E)o_#8 z`iQ@cKERil%S9Jwi_9l&=w|QllQHwWtr`fbB(AhqB}Odz6s%QHmH?|a++~8&{0-O= z?w8v)@NR78Wn?utl~U~_`Z`#n8xWE2u9!5ZGJ5OROcV6{r#ua zA4r6c>ydmG?XDcfkprIP3&$&}nX+($YP+f4ZaErdAtztGg-Z3*t_CeQ945-|$}wgM zGRC#5!hIePjH7U{Xp$Go<%-HtQ=$`NBMCQ>^?JPeANp`?sxztw@q^ufS=hlqK6(K& zolxnLc|6yHu}3@1BLFH`qg>CpR$yp=wo0~SxV8~(SbtnWF~ml*2yt3oY)!!NbIDel zVV7I)?O>}vrg3Aj3_a8Tr5zoNOvTi2uQH|!+pg*-YDVk*T%ofB_hO{Rzm$Ea!pqZ3 z=Jv!IL#X`{BRP6|ABy^K_4X{L$3t?QMGsD~I3QAy{Ti0}=eN2_ZkeSKzOHPPZ~?ufvAPfWxicR#<;)8CqsLE$8?$Pcw*WwzcY<4)?gfZsyPWj4#DPVNrpn}DurmlAn`-7TH?9HA&}K^;DV zc?+N=ocrMV*MV_t9VE()E=s!bS9W_tEX>Ma~u z1uNYD0`n%X1dj-?rErtQ73pa)!dE@zqUr8}^}-!4@|PIMy&bCIu6C23D|eL&;`uG5 zNU4t8nZCTl2W&Hs_9x%Mu8cAB55R;x%CG~0@VeQHPfajN=R1Y5{PU_hdSZ(P7`Nyq zFD)t+y|P-mET}bb$+H1!YDU;tC?b*q5<=7}OC6medjVAv@Awh`U34K$?3mh&wV`vg zsRqtvvV+S5@R%~~1=kq4PD@Hh)Q-Hz;}QgK`u?Y(jd{d} zv9)Lx_U3A8RGbaA^A+k{)wb`a69n~&&D_6_HQ;TqwCCCt`DqL6(a6OUtLRN`9J045 z`BcNjsjUCva*E@AMxzFH?`LAec$1{~Xq9Lio4xeM8^D87;(+G9B&i;@IT=;~I zsoNlePWpNGzDhXlB1Sp1Fi^SBOPk56iOVcACvTD%b=X`=|F(Rfm`wb&%=v)PB2dkU z#}=x;J1A3Z7G|BHKg6fREyd>->!7P)3hf>8d5}w4M5Y`{XW2qjPJS7RlQBH)E|*zz zl(`?F5S|lPRuvwpt1`x#%1S_BZT^X`oUL#oNi4!n-!1<)1oEa+y&PE{LaYO~%R6Zs zBCNH7PMuVm7~5eatDnkyLVNpX!?tS9I4B)Vf=`|c0MlONw2dIHU^C}cF~Km9eej7Z6wYB z=)vWT-Vef9$xNO8czxX8g=-F7a}Bh4NZF9=HzM=q^;`5beM-TpYM|9gudSdVDr2 zmV`*L)~_k9FU+`*Ao#AD7_b*)3ws_Pkr!7;CDO?}w+ApHzhd!$zVdT9E`@1l$9~F6 zMCqzv<|@;AJEA5wi7X*QX05G`GTzaoMUW%_E}o5*{#i8?D)qW2-3za6dIY z^jV7~O^VFMqEd#xc?(b|u^)FQs)OTlndPOnhNdIB-~><^a*h-~VeEjT^KF;s^W=0p zr-gMY=isgowsmEXi|8pLf)RXn^#IYs_I~bgrmJX5An{^ZO<&x@L9h{-L}!@ZwWf=+ z_qfsyP196MBphsY#0Q*@5(*T4SJR>83^HLTrRkbX*zn`mlA#%1WCnKHL&BJvsQwL{ zLL4qUbN}5b>QQ7LR`Ma_{tQdvz*A9Z>|=A1oK(iR zcB46^y!4up$clVdWaX>m{Um`@hqPt99D5^4E4f|3C~8SsY&q@)fX^SsmpiH+Dp)8S ztyfXIgt~6eaM_@Aqb&uCQZ|O%vJl7QXtswJ#P{Zb0<3&L@~el^_YY-(IhQOC!%XM) zI8VR|FNggr#A#nJrK0siO4idWWlCWV6GoyDdx_6uf`C%xRX8oCEaRNkdnCdZ0Ld;^ zrH%C6_2{&#VsGafR#8U}-&Q6MXwxu(h|#2+Toudf*A-X|_<)X)(u;wu{yRvBO`_i+PUXwbghk#q^W(C3C zlAFYvf~;u9tEV{))HNWHW|Kb|FkbMJT+=8Wt>?SLGIggN*j0A*!|)auWSbNK?|w&= zQmd}MxgVRf3)>3$FZ228oT-i;x>kQ&C*VK! zMjv27+4>{_t8vf5ZE>*O#DF1{SOMpYZje`MnI-gY^jbCnW+0NjOn+pz87SG&x0`DP z)j{`3uqZrBIl)GMxZgHb!Ly=1|5fxLfCMDI=0|87u!3UAE49!cKk1vf>U0&&?4VPx zG0<8#FD(OZnd!!u;Kav~SVF6){E#{$G@}7E%-}Vo(G9tC+N3Y+KYzvs5V4{%qv*US z=JM9ZCfC819fM_O;WiY6e2&Jy*eK6K9a#);f_q{1P*mNHR3%u6RW+C3_;F%ln6{ZY!xt9TA1t=a zM9*u$WDnHPJh3}-v^S@g5wVaKmn(WVGOcJNjJWq%47>S4lE!Vu2?6@ze(4yfh~2I1 zjMjty6)V^J?=Fp4++#D8xX_o+1TQRHAm35d{lW2{L{8zn2-fhB(JrG_{CBSi`Gl3OR%B5 z5Y-XD#x+6E8{7uo-%2%++9lg2=*LvP;cSJ0n?XbDZsQo0$XyIxz7#u6+91-nWPvfa z6pNR*R_~z?F(1I&4u6f)!Czo+onwKHkG{R~31lz)cYHje>SIqhHGhPlG5UZ&OzdFM zZAX-^`g->NR(_C4*!Zl}9@qAhwq&)%-0@klA8|;Ui&HT7&?z3JvRT?gp- zvytpENpIUnlYj@hL0Qn|uR;2~nBJ)_T7OWN?@uX@$EBY+HY>#7lXH0!6$%gTI`a&L z_bll6M$;ccs{DRI+oun}44>e34;zWlNIeYu@14TeV%X>gYCkELzyj4x0)9~=PBexP zc&h$U3IQayyfyiI=TMN;H&ii%@my#T*)4U!>h=8wEV6l%MG{$=u3lUw$40x(W~L9)6dOkj-e#=Et-p}Lbsjvz+m;dOT@aXZ#8x%ER9nb? z5fj#~FKu)0hU76U$Ij8}>fXGPwCMOAj3q}|(~bam&2InNwx`Ln0?mt5589N(j9Wt2 zJ)aD^s2VRU8f|I8hce(EhO=*sDz#Cp;eP5KPbOAf8vgY$LNV{m{wlz&-r1nMOr|0` zDau4+ziDyu=q%E2dt!k~Q`YKJ1Q!|iWf6Jztl1vJHUt;l=yXylan@9VHSb z3LuE(x@cFYoColH>HOR+LV>;2i7h;!q-Ms_VN_E7Qz16CR8{wX+VL9)SWbK@H+!ll z2jL;^>`-_Vhh_S!@a}r8p6r);5dCe`>_4%zkZ}P^%hHv?cZ}(HxA~re-Cm@69!Wt> zsUT6-&;A}a;Duj#!3C1?io%|rDPD@IH+vNc!Yrf$G7#4mypp=u$CBR_4pFre#y=d`)An0OBlwv0oGY`&SF%%W&UPYcY1~J3yq3eVAxcJ zErg-`+xk3h0W%Cd9wUJe9EbmUXtNa$mZ_Cv`Wh8y5D5BhDUOA(E#ca94ughwuuJWK zl2Mw+aMuo1v=c&^{Yorz<^`&wEUx8=%laU~u-onM-|!>Vg689hR!M_+AXY<}*E{_9 z*gwn5v{oL5y#B-K(@+c4&$NQt4%E&bD3qi*`nAWb&i8$et$FPb#qddwJi90LIlLey zL-jj-$c&v_A(Wyk2coMrdMs&uZj>qQ1~XtcX#1P2Y>e69#>;SGFwyxrkplA5N%AMs5(HOx7hL|iVAT^Ga(lxYutgdmRQ=g9 zrYA&)=xu6&{6X@o3wW8J@DDYVO?c=?UrO$o;GUB-p;0|=th31Q=aQ>7dL+2E69*&M zd1ux;;oG_# z7=)iOxTNuq|GP$-7pto??|UB2bo0!{+s43MgZ7MC$03t)U&~;DEmG2_My1qM4C8>g zbj;|v*B`&!E1gIe6=wVKmu{WiyDu*eI=?N16|cwL#S10T)Rn|r=S0JTW{jfOp--7b ztROQ&cYwPpd?*AQP@<0>v8^FEx>wHoer9ViPs^9h-yDv*7%b(F#y%9Dp>!;)w138Q zTCv7ZYxjh!sTD??e(~VaX*Xl*vT~N_h?zuu|N=H95G`8wZk=|0o2 z$|4{4!G4AvddN-rGluVwxs-P-dF zV@0%z4I(^v)MFc-C{1Sybvpj5A+5lC$S%?xQ25)91{_hfZMviAgQZ8NYtlHDBHa2g zqr^X(pQY9RlXMKe2@3~+`BCU-X;K)9|0tKP=WgB*>VG>EHH9z<3ydfW&cH|QWr)-r z#*|K~rU~DVhmZ;q$B8(E*en5V`R7$Iqcp1{u9DYc=fjGw@QVnz+UI(DUX*UTj*MMK z8#KJqBIjFCE8m=HQ@Fv!ER{5v{rVs0E&;GSBiiW(yA1n-rq zUtYLPTu*Pc*xQi=PhQi}s=sm7P*1F0>Pfsivb#Aihik&1G25KCig&%FHnke(<{iIv z9MIJncJBmxm}c-Z>tK))G-9WRA=o?$wJdnFG-3LU?G&0nm7?^Mx?V+xjqNCO42f`J zO6p0$pZgB+089m8)zaopuSc#=^}TN%ps>}{J*Ou*t_+WHMySj%e~*9^QMIw9FP|=_ zl1SN`G<@RP1%+W=hD;O|HyOwi$klbz)53CP#aaDL57gHTCSi`HTXDd;kBOPg4WR;I&`3%!=LAXm+1w7u0Wr3bgi zHidT&#FiW?4Ld#us@1g?t3Yst1Y^73PF}RjM(vUmTNqylgy~|r+ zeg_D?7wydT&<5h44pH?en=53bjc*yqtz z8NI&PsMl@-^(cWc+mD~#4X?5*&+dLzlC-7#eCLueI|PNDHL5syV>o@Zrtnfw0&Ko+3sDv42Y-0C2 z)0ElyN$#a^>m8EQUtp?F+A6s>;MzFA?((Ud--!CVeqC_3+9;kdg?Sj=`KV8qLe||Y z89v7E&33z^ivR-psXFs66y1#?5f(9eg77@+ZIO7nJ6BfQxH&9tw;rhX-|kmx)$Br# zX?G@cu|?xvIm{L^UHju*J$|jY}2l&X^Dgum6do1b5LPE z+>4G?vgGLkBJO_gJyzT7yNhs{NOTTkn{P8IEGwNnHvgv!?}o>BKU%kNmqyUcNb{d- zX_!sA6?6=`s2phZy^7R)Fs+jBv)%VW{}ocd-70lWmRW=jb-90NIr_IxA=ctyP~6~Q zC)-y^c^qst)8;Dic2DI}p!l~znPi~diTeVgsA`*V4j`sEEH}HfL=o0s?c0ky1-Wo` zpBX+~#Wi65Xtiogp;MhoTup47Ms6-gMd|dH12w#W8xt^bJs1|bo{V|n=Iqu{Q`}KD zJw7uw_Gz$EAbETB`>^+eg`pKT``*tV!%#7G-$H2zhK3!o$WNR)nXOjQ{JCOJd~f4{ zgYafxuKkvqY>d}=QKiSPP6%I-Tv|@>wMg_eo{p#M$=-!~0ejkebjpWSfa8rO)@|Ey zz!Zl~g17zW4@(J$mL0;(-93rDg_m%|GuJE{v)}%H{7ca^fHY*A;}K4AfkIrdeCumH zWGVZAll|Wb7tX^kKjob+4BhCLjkXJknYSA!^aE(G>)tX{Ld+`ryW7{pysCo8*D_4k z-9j+~>?->-D)a(|l_#$snme|>Z11cKyaUp&jPDTVNs|xMv}D@brm4HMET>shbE1E4 z9ZW4v##Z7+UhL!$#ZRNl<0!qYS^n=Ra1_gBBuw2=J$pMSz*VbYmEkhGINRd|QcO^P)P?f3f$*my;_jP7b(2-EHSE?U zXuDYDNVUK(Lyl3eA;j>FphlJbv#+qi-+D*+%5wNkM%UYL62O)HaJwU^o~Jfc@B=5Z0pSj<8tWuqW$kAvC@_tJWDOkP!6BL+!Y z7k4GMo=GFBoB4_b>Cwu@yb^BeMy%jWa1hAsoWpsmMBRk9eA`{D|H|y7wYA(`q<-EA`T%43+X++8LnnfQ6LhJa`FguKt4QPon9uFsRxV1t;~ z3Aj(ypx1kBjgb!w6M}v$lm%!QQXf}0yX<)HZY>+>HfFqV4~oNla;|TAn>^QzNE5S9 z>)+cjtdu0*j!Nlni78Lv$3MN)77p9DpNS^|?dIvEi*+3}=7l?D{Jx$acj;ygrPfrZ zWFn?Zc1*I!qAaXvw$&3z`)u#bk2(>VAv(g+ll}7*S=Ig$FYbGH!`tBjLoPtqelvCH z3+rGj>viu%QxtMn*Pq@(T%mb%MN%lq;c6Wyo&>#v%?pvqHi~7JK=k-}N}e}_F}=KA zcAjZP5^|sQ_&}L5z^4TT&U~1hO2aB-H)28+U6VeW|5iAxaHo#jh@;|?(@Fb=aqsP^ z-zxRy@SgaanK4S1wG3$7aj;qz)Whgl~X# zx#PXof3jRy(R)G)#aK*OaN~XXX-%(ED;OEAIE*|1hlealdH+^u&~|=Lpi(x6nSKp0 zd3=>H&(cx(^F3K*yrCFA{>oe|6yIZ>cOV_|`2a(wTTdPJJS|AcE2w7dMw6B-z(@hr zhRBg0ER;e-C9JU$SdlyvegMZH{x1^=g zuU2N(6$S1HnTVDpiNv(&=xl2Be}U1giKA~pa9o}0def6`Sr^9WEupcSWR3T6EcV;B zs=bY^up52?y7;fIE^)*7lgks1`?Yq>ZvpM1j%7CT{scJ-f3r!{n)A!rj)HG_U*HedCWuA((01qz4oVd#aT%Hqq zYulcYZ^P*`!<9WefI6Zx=ne~u6i)e&M}#_YHbfJ8F-%(s#eSG+=soJ*(*y&09?5Ad zO8lBJAW@}7+f`L?`4uU+Vyg>5re1dvQ#v#Q|-&|8?KBm(5OI$p)(_QTOxcAw5yy zxw)a&5XR8f+>_DP2ixS^YQU_*!gZ8jR%4HQoSulf`4+onbnxwBV%MN$TbGY1zU@ua z0NI%91yQ))?IioL!$V@Yeef$a+-Er1oyj!fuKJ^tN)#Wov?PhAT^Y=N#Xr=c@-(Ec zs{D89T7U2a_etJFFF;)YO~sDI8y$D^Dv{xm#mg_HS^#Pf98Uo2>n|=DaqdTPeaNY^ zVn0EpodJMHV}r8s@;PKxUdM61;;;HpI8^|SkPgd(y^*BA&7`J~5&B2T!iNn69M5He z@Ib(Giu#U~*!E=l*xir0;_buk=(+uH;2D~2Akk#hG^iWQ2 z)b2ApQ4WUv?3==^P*v%3;RD0E{pv00Ux=n7i%;Ajw@K^_xe#wI_f#D%nK;CJZ}u}( z95zl|2IYgC*>jAwn_in2Rpn0ki}H8#pC5u;b-d1(LQ9L|q#L{KYSI#Es!Lf9u^)x- z%4zUG>0VrZO4;5+gJ~b?xbe4E^?BifRAXf6UWoh%?|@b{;($Mlh6|r;Oe>FIVO`j0 zeQ3mbWU1ok{@59>1`D;p8;QII)~>5HoBP!GC6OU$L4*+12*WEQv%c zd!XZ>1xE?(f3RjFisO3a!w0O7RODDncBI%4P{7DQL)VY}?0jA6<9^{xRhZY+%FZQtq(_5V6`L|3Qug zkCU1lD^3^qBs$z8t;TL-Qer8Df$-B^1gmOE4Fmr@S2r~`j!yVpjzZ(h@zr+;_Vd7g zLjjGu1WX8`E84d}gJCOPY-W9`Saa>po}1!^f8Kl2TIaO}e5k$9(ISg2_{V%{@j5yG zk&YX_U#FApa#)tASrY}w>bvLOkHgC_6FHLiUlq*F{yTzGGAb>rv}CdcJ!QdGS#!Hh zTh>B@^{`Ob1`-~FCllNF!6t$`zajF@)rtCfu~=0*e-HTAET3hms$jwA-lsPQDq@ZJ zf<0tOBG21PSr42fZT!BK(JQp(hK&BuZVM;{%ltymb3pzfPe2o?C25_44i%DfuS-X3j^Yycl-V=5~4Ft!gGgQn_=~ zJaF&S60qe~^tu{oe9#Wk8Fz2{f`=>)KbGpj-sawX{R=UC@a3+AND!KB3-$H#ka)sl z@P42YaB=M35ov28&kw4Np3*p11?omzoxVnRT57=8QJDE|I|@Grr~$?TaI zj}m^5VT1KnGjQ*8ONd6nBZDGkx3_=KW2;-iX^&xHFi$o0rBo_mucXbQV}R84y)B+U zk;?@F@(RQhjpKMJN-|CqZ&xuv*akj~Crnkm=2Up(L61Xr|8sd#JPRFlM02fJ$)xia zllf{&Uk&7@7Gyk2H}j=x!PbHQ1)`Rq5!jw(uX49pT&Y#ul*ihyIw1as6}6QrcHW_h zW*%h=fcfslnqzItfIz%r>uUuI0s<5t8RaI^p5Dm_4SvApcx^B`+P?oE8;(!_3`ZU| zrA>JJ1lPd}?yvNRcMMcz(*N}Y0dUi#X*h2OMA3z#3;{5bIR4@6M$iUt>&||RZL0CWAIB96oL7y`=C8_H~4&EEhCregcnpKg|ughC;`>-$U4N+kv#u;&36M zY@*C$T*(pRHu11F=6t*FV31erl3r(_hT%v_u62S}8byZ#XE95ctFOkNC8>q$)RVWz zcvrKCb)R;2=UFNAHYng>viJIVN^*q~GWBy=J~TfZ&^CDE2;;)mhU58R)0$aTwm}Fn zzS)H-en*s=ORfv)>J0F?OOvo+j%u+GLt}BhQ=0pCJ<7#DOgAoLAcM`3vj&NXo}C^3 zlHDWbN9Ip(p_4u7DfD?OVGlpQ3n4$a$B6`&oZLK=w|HCW53$`{_=tZ>SfYP1TEg&w zj5IFqd3YJHn~M7y-**@LN{hEz;ixnT1hW4d9~8u?rez*%8gEllf5|Z70LTds?Z$fJYQS_XCTXv*}Hjrv@$kj&#<&THeqyaCPt+od< z#95!9_-Ik|YHLPUUk>h{G=|uQ)W5O@?cn?Qdv%e(5|M+CqM}tLSYwn`e)au>W4^&@ zi7b7wfBBhQPRim+mY=5BcOaUJPmV@lwXoAHSZ_&^8mQ9f=kL3X5Bg(j)$pk8>A!7$ zc${)2JHn`;&z06srYuV}3c8n*9RYq z|D?lUP>t0ePZNIE4%{Mkb}4_dfll8f;`b__5Gv_Xz11b6y$C;vbom3B|KeU=4e``(`gvYD z1eyol47u3+T`}GPk7<0N2Xa4tvV4etoS*G&V7o(ty0ywmX9n%`_*{0q^^?}-(WDRD zY1FiZx@k%E!|!db4na~e5av+zGe0@ zi?8cm*U#*Y)I0~uZLJwrt~d|1k6-T|PzU`|eo@~onL-D$%RT;kb@<3I$)zkBMyW|E z^Qg#XrzzrJ?gP7Z$lYW$!4C0*fU*S38t%@{)Zp5+hqZcI=Xbkv)}iJTbG-*%+rkUy z9n`H)9!NfUKq~!!lr+}l$unuvZ|}Gw1&HQc#_vA@(qX1VHlNzxnCFm;)*DAE{4wTn zia|YHCaarbuVxu$j91L`Gp!T5anW?w&d@va-^1*ypWFl}yHAwq)iss)x$ZTrUk{)E z-Z?%#fAg*3HpI`JJNo$(q{?lKzVAU_;&Q_T)zMpFJ~3f_LBYCJ9Ca!vzd9*--*(37 z-TKBq*UIedO4py$K_e~SuAfol z{Dwr}JzNT?(E0XfHzj3dWEvvF-@?-J@CHF1zw2rGQJDQEfQ@#e-oWX@jsfW=2#HqZA-2An1S2wEQ%Lj@>ZBvP?WoBl}?imT=)VwhVc#C&5$VSXelW@x<&^xg~Zs zIDC^7hOJKnlTk<~65JPTBRl2TbP2Wh}p}-Gbg?vCw#)E#BZnrBnXc>KE64i$ z=93@YEL_YTb~?_Ub}g6OTpSNGWN_Tws3O0a9!sy^vB@5uJwZr(-;V~ zB5z2T6XfpzZtO7ih}`4@~Q2yxyIg8-J7`hx|Cs zJs$sY_dkQr+{+ByX4Eai0T?U8=F%;OKH>cX2RbZYDG63t!&$G<+KY?LeoRByXi>vv zSeTn=S3^pFN=pCHeA(p&9*WIU!}me)MGIRno9Y+Gwi}Bj1WKEx(k!?7s5*W*H}_-p zF0{5fzIukkJW|p;OVr(T;#=ifEFE6K{pj&rh?((u(uGz=& z&w3nFMkiIoIdyefKA@x)c|s}{Oxyf|7{bid&(Fr(&TF!KbTl@0^kBl#-A>Tl5B#Du ze@47b)I&v6wsMpIZX+_$a2VS21oYeTi1f*ujq zhrE{Q;jtrO1+Uup3J>pH^3S50kF>KDQDtp)@u&aDsSP|PG|fJL{%FQvHeP)s%-&#X zRC3a$NjI0hc{g=AIZyY-ucv|fap?((9R+8eHr3C*Go#t+i{_%ulmmmN_k{)SyFyon zYc)yc3rFq+Q@f*0S$chw-`)$@RaTarWuflP}}@Q?j|tDR)=myAwC7XLL7i2UW=Z|*N=H;CFwm)?e)!of75^44Gb=<5xpLyHOUehf}o#WlnZtR`dzs+8{ z=DM>JZKK0DNs<_bF}f@ak85cnXe${_bYJf+n5x+gmN*nNP77ju&3(yU}T^ zpDjp4Jq3*#%%0s?C%%voy)M|o0lj-5wtwxcZ+qyA}0eMX~b_0brJvX^vTyPx&-09B)16Y zAv8!W+=+|r*QJY!ER}SWAh{gICrUhJ{x5ejMe&;R0If1SxZp9c zXE`p$wiH&CYUDdZuVgctLhFL@sPsEle{emZj=VO+X!+csC&xt`eHX@*T(lEfbl#r? zab|9VzuDi}G|Z(`pS7G*X9ZQcyF_L*o3w2%Sv2jkH(nmp6&vxN#eT<6%6Mq>fnV&& zou}Bdsu_pE@xqG4SuV9Q_-cD79BdRBWTTRza;hJh@nXMn*RR(%>+^zTbWEk2Vq`|W z4_W#~&AL*X=#m?YQ-=O(yez3OOx)GxF8#`Lr7*^>c?;(!+E?xLFnZ3yKl0H0@#Axm zjZ4Ogsd&?!73FXC!!Gkz(In|~OEB$~n;XIDOzfenWw`O(ubV&XmTDxg5WB#HKrZF& zkh`VvGQhMm#;&G9Cl;yRz?f-kT~#oe<6$0eEz zDBRy|3Pf*FHgBw68}HMZkvMBVj2Y^29FRTuJ3{C97q)wQ-HlFwIr(Qm5oHywO07P$ ztPoSbBB!|(SOM#>YQx@JmtfS31fUOVRSS}zg=r$%HYN0JJna z2%fWqIlLrR#kzq7$$$T=9-CJFrZg!6$bB0F8ERJ^h4yioK-uq$!EW3 z_oqQ!Ako$J==b*!tkk_qJfLU(ZL2t=oCOUY4gsY~cqGzbF;tR3 z?#+8cmF81J?cXm$>u3q>0bs1Z+GcUg5G!${Lzy^Wk8$?fPq`=4Pd+Chh+KO{pa;Kg zI6Y5xQ*+|*({E5m*hk6{Mf*cP`Y!iwMaS>1X>no_5F7R`NF&iH{BBj$3$$h!XiDlr zI-J2x{IAy959k8vg_}HdXa7-U;$uvcP-h{W<$1!!`kqf z@B(dl#DC#Uf5iMzL<2R2QSaXK0!8u4(t{I#Q|(BH^~4v`*k{xej1Y!6f00G)r2&@S z2Re}%EtI#sc@4Yii1Olb?#TMSYZ6TMF!Jx-F#;grJu-0T^H4iNpwHyE>wfUYxwmWU zJ+g+_)IeH|r{vmY%AjVX%x|gS>l{_w)otA{Q|)yzd}DcPE#&?fpCPCzbcqU|q4nak z^FghgAA=s#7KjvBzhts6&uaR5c+;7FE8c2~P_2oF=Ivso*veF0GGpO>-677qzx5zRJgUQ0!I9sFU1c+#uY3Fbl(s(jp17Xu-7Iy5#8cjnXPIx+zSis)c2o^WKWR(5R5 z->!10PsZiE6OyMI;PDgkO3KBS8)j+#t;_BYvZAi}%#eYXg-%~kWkyebmv@e?Y=5Nvx%yA0|L zGl22g2bZPuCXbS<@&1kxL+yLqtP1Ny#6|+}Vjrr_Q3M~1;l1y113;Ea4Uk3cyji-1uXdS|h z6M&+SI!I-cd1+C*<5Q4`x*`0wSoLBz32~$PqOYY+ZqAtM_Mo-c=*-Dq%r|MkLle`B zVbHp=^lbnm1b<=g{uuz0RKH?T^(jTsl|5;VMFVkc!8G3#DAg^RM6M+kC61uvny+ZSNq%O?8hw==+D%@vl7^F!= z^h_Gu;j+Vtus*a-ia|tVqiZr-my<)5h|-_Qt^&r9GfC|#pHLceojXfWKl-R^~(jJ7kg#crOrr) zzmh9TIKrNY9HRMybYP|SfXANzV7)Y;<}?1x?X-uH;i4FChct6VO;4Nt;HH zXs8j&l%44!U+{&uCOF-v){$I*l8TgT+tek57L&=|B6!3=YtM=nsx^N$F)&|7y#^?n zBAh%;Wz@V9vpKo_Pi>1rs5VMtc-dP9RlpW%)#@LlvOj{&xT1irnwlW}cGBcpnmh`V z-`{FJH{1F%Utg*|EXq}8)O(H;4X+=F`6IYp{~K+WB_zdw4yr!uO| zKVROVjtw!XU`?mA4TXRJkik3f!+DS>_yt`T?s(;=Ic8I`GFv3F`0(bW>bz>vd;J_& z1(~9(2DVq~uwyRT2g&0w7dwrST+2G6Ce*3ClpNvI6GD&!s^W7BE9nnpU2|zro;WCC z49%GF89*~T;;4wk^XW!uGJs+e4BgF#p)%&p0uDTa={v29U+2ShrSW3_Whg}^d3Em# z%rGxp<(zkA&hnwBk4-hwMX$WCJnb+kD6x7yH=#S*K9riY%6bSerUyWr*QN4AW}2H8{)i@_MA+7zTO8`U9t`wE`A z3{sNpDTN@5UeqNdpA^NFQ|1OVkIw)66I^^i~bmHXDFa zY_UK`cxaTix@Ma2m;sq&#YrZN7)?e8H03YfLx7n#Jk-DowFPN)W`Q0MrcW4eEioq= z7`2ENGJHqhu%x?hqZVLR^K-A385{F+Gc|9~)$%U=$qU=3(=t7&V7Sr&T{sT+m6L#` zAn(H+gWobiLU~;pIZ_Bssl;8*<1wy*JMz7q>NHRTFq)U}jcj*>m(?oAbmfT_GQu5f z%hAXqwbdAWLyxuRUG@p;P1C)3L)2fquUbw;8~P!THdm6k{r zsYP!()n-m_m{VE}Z9SnDN~iB&tq5M*IqF|eOr(V(rfVS9Mls+V{anPq&g_1O{7RjK z*vRr%%(C-0Y?m$t&}d-F2#~|*Llrezt3~@*?Zi&_THt8_!OtV(zQPem=es&NL)nQ! zKDA;208L>i%w+Xkgb*nDyNPH{wAEbH?z_GlGGxCo7&fId!Wafw`aWDO%mz7%_9UN7 z>bw7^EH)I6i{b8Xf^r)HG{Q4%SJs-XSvo%oxr#MB7zU8a*K?A&4)q1()*FLrPc=}` zvgx7|gx?<5SS+SgOlqiaG4fsMh}T#qHIlLXjzXQ>bGjx)Ff>e1tXk(U!G! zt+6d0VXiXA%ENl7Sn}h_{@qSbFAQGs;KzGLNLQm*+mm9aI%jYxX~p?R$-?P%Qs4#H z-Fi|hw?K6@VxA{2xGq)|d|$##6_~<}is0hh>=(5Jf4+O=dxJJY7`@f-09@(< zFN#sls7_g>mjH+}S9!o_c$T-ehs-CD4hKvR46Q@=Xz~HHz_aTX(Q5dg{+(o1qdz%) z&Oq4W(09oWZ^rXHID-i0kG-2kX0P9=1IXnMj{6`2 zfP^7GW@hEJC??ePE{%C#avezFm@xEGiY$0}t9PNn!s zjD*;MgMsxH!PxR;ag&0OfoHV=i8x*Bu$wRa6^{Xq>I4&QQ^b`z$P{Kcl~f9LA-u{^ z(WzxzPD%fAu&sRGwt@;+&*H5H9<(;Kh;XF)L~c-Gi;M)gXH$XZJby~#{~FR9H`Eoz6!Pt+ zr;fs+?XveJ1gjA~2W)`ey>0i`K3n^|%zLCfB@7`m&=NaOEMg{pGu}EDfeUba`I>f$ z2V#7Rn=7?5VL>IL2_~H0;P+bJwCdbg5^Jo02y&}{L$zF|XA9xI0`777mfo5u8P%^A zrhsr;+FLU-EsM|b2ue%1g=q(Lk~@x3|4Z~TF`6Jn_GW)ipZ0%J6Ygb?m&?F<|&j~)3<=kpC>xA-}zsKPFf18mtcPD@wUV~Scw?3eGSvetpM;&THkcsZ(NkIryCEEyb$s25Nj0CEdeU|w zLpyn$Ch9``W3J;-_9?i@K#14Xw6x2vQ0#{PB}Bw>8o%5EQw6=h11gm?9WoIS&(E*c zD1N60js?3ieN|DQ4mnTqAkNq4%uSAmrXfTP$~wLTF?t~1lzT7mo#h{vhY$yfAKTAS z${2YddI#0EJ+kduWlm0C<|9EDjZp1viOap1RrOU5)&MMwN<_3=uMHk_e0M+~Z1?%L zd6%tvS{f2F#8PbHquVLC=5pdW!)bV2Ey}5lf)!4*@#c598b0i)f+yfjllFmQaKTo;7yLg{nPT|kP!zu z-}zCRdEy_%56a>ZmHuC38*;yHLJ=9*=OA9RT}=H0f0zz7Mwq^1jDM04!`QBR>MXzRu(LiZMdUW0&qN*@dX&{Pt%D zQ{wz(7go{;eKo;)WT2_`(26&qTVo(mB>Zt-#C?lEj;Cf8ahJRrnD~$Ea;qQTw5VN1 z8sfq>$sHuh(U5^L_DJRL_jH*T>_ZwsQ;yBFtB#h)*_aH30gg=bCZJ_3fP2(k{PKWu z=HTXio)!vdI~=pygblt{0UNtk+^q#lFliwr;q6;9DR*%1?|v=nx$+YaEp&XQK0{*# z+O(dvAyUhdb=B!bhycck;sCT2S~DA1FXQl9Xy}!>#P^5P2?%?F%kS0auaQPN4g}Xc zv7`V9of=2u<$wdPcsL>UNt)W*cg1TLgQ}<*)(Hm#)Vnkhenx4rN^a( z3~}fv?VHo*P4uija2>6QPSyG{W#I{|$8IZ8g_?L*=TN61h{pHUVEbN|W$)>0F@`-i ziJvkMZ_h6|K8v6@<+jt;UwfEopa_AM1~t>ovJv3k?RVllY_+?`cUGvt7mXocoX%DC zHyPeV!JEzHT)fNX8b)6hsy`VAm-!Ww2VUbpc6f*6opGgRf>@QyPkx3@R+T-Z4UXD- zS}aSbjuHn6TtxCs(U0e1%yGMz0?<7!c53Z>t*Hh6tD|Q{LTowcnqBXLu{Uruw8|c$ zPMLXtjF9u8ul4+DTtFoCZj7yX@&3$|dwxZMC0I>BhgG$2+TRrn*~r(U`Bn(Im| zbh3$cR>wJCC3>YL#l&#yfM>dixTC97|UasChy01=rfXPr$oe1yO)G*_EX|v-25ykzS9UeSb&TX5l_>q;odt0%sUz z#K@+Gj8-SH>u$Y)q-;*Jh0O2hlP3!EL0VqshpwNLkXaIjt6GO*Hc`rfF$H&=y;>$W z>VIw8Hl9o`FbLL;Z&xW~Q^`b9?X5O#I%knjYf%}ae3fKBiAe2}1%n+(vH29(%uJ)D z|CBqs$1V6|3U_7gSGFOHp}7AfvN|D5l@Vk@rwHHC6Y!6X6q-6JG!oqQV`Aqu#B$<&&E*~jl&zFo?{Y#gwZq0))^b(iY-0=Ucqs(*bZH`{|RcZ7`BFA+G*!Td6m~f#m?M2I>Ky8^ zc`usFX}%XKv5?Jj?S?sq0$R{#p6h6#%1pV(H%@j9xlPrL1Ul-xz7XEn%cX7zQMtb1 z+S__dc1^OUTn@bd)nY=Q>X{vMy1>a*I@ECY_*K2#xo;BtQxprT^EVXD$ zy_TChd`+gWe0S`Z}F9ka_$nvV$;Q@XAryeZZQAO zOz7@)pk$-#{dpL#G3JiaVH?Ud=I`f*7HRi4UoQ2(O(W+w9MmmzE`38}ha&wwxd%Cy zG*a&Nx2|ROwNhh;F9W}RL2J^?+ce~M%On@$9OZq1n#yoJJxt-St80MdkGXB0e%NWE z7iIVwFq@5Iv~k?PcA|(4^mVv!F7A>bX%8I z4Dd2JreFN(MlR}tx7Z~!Wh|>3)G!wp6zd+7@U7V0p-_rbn&H$_{bw*ch0O8(FPt%! z71PVgX6O6BN_K!46|GdAV}5hp%xPEf1*v8=sJ2I>2$9Z+nsRg=H$2xzwct4ex`2-5I{Qm0Nn;qg-7P zE=U~lV%Ls-unEZxB-uis+zMJb$8Lkd-x=QFbvG*7r)(K)g<_ukf4c%t#(2JnNOHyX zZQ{VkVnP1gy?ATG=}%3VRFQQhg#q-|_U)5DleA*UDdqT$d%ux0IQb$NP98e0SjP zVz1NQ&EE~VhB6#Nk~i7q>1e0szm^RUV-&8_8gg2$Dj*{e=z~vwtbt0(d>5`*i45E zIAv+l@iP+hhOXi5YCg=Vcb4O*j_U9U@<547E|L?%9$-Fnu`s#wZeI4&x%NTytzCt1 zYiUq6gL=s%O-F6rJFZwkpik-F-8!4rt9uiM52nUt1~E*%K>9ug3_HB05J}igvt5(0Ge~o41Y$J#QAf-=N#- zE7C@F1s94C9B87;LS*DF{l3Tx0rf37Zb+4H>BH#J`z(;TUH!NY4F`2Sxf|^)scjj= z72y(2J*VA3j?*mT9C}^y_r;@AHht<;g!^|Ob+;P$Jew)@3xHSt6|(b{Io2COX{(0W!%D;iQJKdTHD~YWWcE53miffl#|sa?Qq-u3}j6OFxPRffNsv51-BGp zP8}laBmC+OLQa z15s!jY47Tl;?x>H`QlDtmh|xDvuw_xZ5w+Eq)9x2x+k|ZJhaJ$t0$Z&(yG)Qu!okq zDj(<_wPp2^DGZWvo$)CFiu!(Up7_2Johowr>4IK_GnVJKnSff{sPXqRz}_e*pwvG} zb{F1c-Y92bwg#NCw`U3;H;MNHpj%JQlX)YTFN8~>sfb;#w(7c2Y&VO=v68h$TG_Ij z#XtjzoRC6oFvfLflE&$@%c0$yPn_4W>frI!pnOQ5*|*QmsQpB_-6!+Y8XJ@moDiWT zB9|CZVD-+#{8$J5@4azK|GcBXzdG3cAbnn6*Kc1h5M{ip^_w+dA)x5kH+x4CkbbbK z^h!PTkGF+R`d1!aSg)OjT@O1zq2==Bubd4YR9H3t#qMij#0V&VVCk21A)c!G+ehQE zo{!=9CunR?Itufuw@nA!MbaA``&Rk|q!D;=v)_C5|z`k}SXl%mq|k7EU*fS{6w){C%t%f4FNfZNI4*!3FVbi~L>c3{rn~ z7E7Q@4R1H#n!Q+eaW_W3(HV#86_0=k-r0xN_nD@(KLoUpGC9*0+q}^PLu@NA7xbhn z?HhsmB`ld9-it+VmkxusDtrt=X;bdA_ip7*&HQ`rN6XIuW%q(E6E4XGM4Je^B5&EF z$@VA{<>)eO*nZl{c|izIRvcY}_GHRIo1l{e3o#gJLwN`$6R)!SY@PZ@m&Qr9jdv*$h+ zmes^d9=>ayYVCh7q&0c;OaH)%s;qjIo64$+7g-}N^ zZ0bMx{^`6wPEh1H$=Fkq<&^Y?JIDvnA=?Y;v{BObjC08>TOjI5wngRy`?f0h)n9JB zt$0_)OOeoIRFRvwtZMSXEpC7wSnT8iRU+MU2G_Y-_|DMpp;D4%oZ28ikrw(J^URme zgX|VrddFGb`WyQYQgu!_jV~37f;)ii?ZbOf(p0b1vJvg`Az88XSal;`rupwGHZeB( zNR!kJDEvG!L*M+%0^gh*&rC(G-!EYO_y-Oms3w0+&~k}^qsbfEU-(Zs_}-?5EHoFv zjXOZMdJ-9l2>O>XtSOeaaA!{#QKXiwRRng+P|#i@3Nn9i@t+W4_MjI}gn{HX-ELA2bS(Pkey zI3?3$R-<=3-fdun{N9m=-q36>3i)Df_05V;ds3icldH`%J>~)##2(4pPYRmav09cW zHoXLjPQk}92RQ0GlUwTW%|$z!x@E9^QO-7}!cl!vsnaQg1mdK9{giy%0zbMxoGql< zwfj2?l)pW0JtT_6M~h^mCp~CR@@pZdvF|D^vqZ9z-&&_G*c{m$d$h0 znXySiM9Hz1?Fu~mtG|#@s!;!HRT(+m#A-Km*sj*T+ffDy>DX3g+!v4r>P|zwjW}4x zt-hIE8lrcChKe215aB-sEYGbt9o3vn{kHSz#M;;E-{e~SPD8Ke1n=udFci^;(U$Hu zZ{75Stt0MfdRr>@V|lT>b^m-k|LPjD*WX0rYTmF_gmXXJG7$3T6Q(UOmxJ*RC>|U! zX^Cinz1`MN*l}(m3JuGZ&fIKz8vnNMor3RP!ByK|RYl`uU-OG#DIfEMR zne|Sqs>Kv>>qdv>v;Mvm$~s)l9z8szWTL=xw6c?!MmEA>Dctrlp$BsfB~5;K>q zqz1vTO}XICY~rjnx_9@KW%|R$Yh%%OgA8;&b@@XD?)c?-hpDDi4MST$u98o@m!3V2 zRO1_sWGu!^74O;i8H#wTtww_kated9&#(8}2<-;cp1i*aPH$>Y?#RiiRG`kb@CFx) za85A1x<yYs-NS5maAHvKBAVsp)#>K+JMJ*LJw3;eBkzo z(8S*&6Zaz3cbq*>o#tY_vn|T1o;$&coGKEwM4s%6=i;RARzonIjbNprZfoKZG}Vi*hO8v zJAm;V5Gvt@xd|%KdI%Yz;9G@Ce$xru`imOkg#-l6ygral5eYBOZtEeQ#&6;L5buIFiH)T2RD5!+FznQHyKKL5i`L3@)b? za(3FR{|oAGVOL?&t;hFhd}t+M^7^n&yBWUix$scD1&mwtm(}sE}gp+#Mj4DQ#0Pf&`1SCnp<;|okhPH*WNF*{*Esr4swG7>3KI-yj2d&Lz2MDJ0C zno0)~fWt{v$S5n%^I6UKL+?d2{UxelP?tCcEL=V{$U7WRli_14Mi#7}k$PE5 z@Y=hSa#E*@bJ09Q)UD)i4o|av+GRr7g1x@UFpQ7QRF23QBx=z#Sv-DVbn?DOR6*aw zCrnVXc+T&aZ;Dw*pY76YUV>HA zA;$T=MqMrVu)2Pq!Jj*WV`JM5I%b15q2AA-^EzEnia-JwS<$xO`O`bwULS4<8Y_sh zu~HtXR#%(kko(8R;Jb6~>{Zq!A#WZ{abRg@an1Olq;f?Qb7M~nPoU!d64~Vx!$+Wh z)({rejZ3X_x;kKP=wOjwH&Q7;5_8%@-GPv~4<(nr!`#!c?F4^OL0@~F{k9B8NBD0M zHbyOfLLY1Yb`-X9|6!6Vr`mmI$tF7P>)<s~PYqlwKHUWapPxbp;9?S`Lco1j7-nX;HNm?~`#na*&l zppfP`>59bbD|?Q#0_Rke#j3`9)ND@twpwVt@l0#N#F26ip?s1jT@ydYX+GK?;HQ1t zWS#;r-eiq5@xACA-Ss^b0_yh25C^k%6`_xgjMwJcH+AZbQ703H*Z`V#&QFA0hR?7i z)1LgEsCKS2nozkJk1Dt7NvIq1&r3vTA4~{~l)n-6`pvNgkI5i`q*#4DTce~^M|-0R z_x)!@h`y@k{I~|GOjpCx2kf7ei9D721r_wP&TR~-OOZTBlOE`2Q#EZ?R>JlVink-@ zQE-=nK>sxClWVg(&VYG?&hx%~iPskrG!y)|pmG!gcyTm&ZhmWK|$~T2WrK_WWVHIM4-bejcAcv_yf z*)M?l=)>5)JojyWW$W!@vArwumH8KefiaY(CIzr3ARs~8* zmv{ccT$p3GQSv+r(0 zpq8zAep{ha&fCZYLK`GyHh?@hUK0L9JPTU(t;gGJ5^PO5KoKx)r>`>DFK$J!xWn)U zeqv;eOhX*XtPVc6a*JN7QQ{PU7Mvt~T}U zLyr=}MtS?UQVs|bAsa>$I|m@wNTE+@FNyN?o{azQ=;+Eb&Z~o+Ex%}4j^4|zFxD?( zcJ`Hkemcu#ARBI+NHTqC7E*h&z|n2gCYszV7|MFL{=%vo#e>BFEdN~;RMWlDSgQyFKU}#I+(y; zynY`lCe(Hr5Yr3UQYsGOeq8Qk)uxfoKKQc-9IM>5d42-4Y5nPw7xawLP};-qSIc3H z(o@G^qd$Ub1ir~pK6p^Vlu`YEW4ZqS3y<`z zT$}`B9v;NS+SAJeV&TmA59n&?z=$UxF3iZ!_%A3ejmM|p>g4JHa3!(_Ia<#?~ z=>AJ>sBP&0vGT&>GqAVzvSSnw6cNYc(}1|xVm`z$R~+&9R9!Hn;i zdwITvcqq6!ySchRT)Y^?@nmK3{>wL>U)Djk@kd&*3dKO4HpU8kLAt#Rwo@_54== zlQlNoKLW^92LBbn9#8A_j{tN(k>o!D&tW+K;yq6OrFWB{2>XZ6O@#HoP)Ou|g#R%0 zfrPjJN%aya@^3heIj{83cLPxDzwjd_X+P=k|5(_Q|3~;AtK`2V2LF-N{fBz_A4>XP z6xDyI$^TFc|Dd)&(lh+qm;^t#x?;Y<1Tf-dpL=3*5+?Bvn1%tj!sP#r{U?9_3;f?= zx5EC-)$@Pk{R_(eZ{WYF{Kxhm_z$h@{|5dawEtg%G%w;O!^H2!_;+%!bC|CN+zIN$ zDcB@4s>9cM^ki5c$Ufh5jL%0ZTJ^^QAr81$bFmNHD38jXoV!WY%;P{%Vx^dX1497Gp||~mGaS85w8~5>D+s(FQ(>8QnBSJnN$&P#^=?@ zaR{4NRQ^dv{lo~cAZq)t1`VBiI(;gUt!kiBNhN7Q?hACuFIXmueN_I%sX(kpK<}s4 zifrcw9EZpyW8IdOA6orNvCTv)>DzE zAo8t>OYB*Njf|hY`D=;`x%HFOkCtIk5dkzT2q131O=Pqyf|7SW;S0fWBZ;MR@fM`! z)52hcEesNrY8|WA!0u5ktqcpSBXPtH2XH|pg@J0gJuWfP?uh4kZ_1y1gzntNplB#H zPP#IR3wp)#c=a7kHj!47#ldtC*|kmedyINMGC<$T6ANgTyom|Q?;2m zmGx*N*d~rjZ@pKE_btC!KO%DYD{8PX&O5|&|$*p-Qx74h&o8F zgwqY@$^jvn#W7EiBPAU|xlo+-J<7w;Nc!&acO429Vqu5Z17N0!JQ6CrvYsfk?tBu3 zy$C0IYOO-dGu>+*b(f^2IiU7}i*abSQ@TB*UcBY|H@jW!ENZ1nSmY8q|*-edQ0tlmb;|Mk#fJle@f-`)gD_tnY=K7OlaSZ&XcFZ z<93s|HLpwLnRPUDxs@hLS93X|I1;aZ9g)f0P=~&kS66$a&ete&e!To+hQ=dvcz_ev z0-^4k)|3l34TI6Xo|%a}mX6iOQswfJ6#gh_QO+V?ruI-*X<&?6k?n;XHL1hH*IfD? zOXIfJ@r7ao*N{|j{*cZSWA*Wfsl?n-s}vO_OPz`&?pFcPg-?e;0VPc^3Q0O@`Ro$i zj5LGLC+Y<5UkIMdk@jw}rm_H(B1mzbJalyBMrI^VknX}+ILpD0)AI|@EVG^dR1&q5 z*Rzz5?2J6!&7$@yEExLsy8o-AXZMwk+)=JqH)ley%&!;6XErG7Ar&6;df`iq>P&)Se12J*6IkQ3wtxwjKB8(45F26!)RW&f1NMjT*dGdxW5#yd&9+&O}@R)Gx-#drvr{EeMLSwdI(%ZO<_ zk0e1tY6tlyJ7>vK5n)@QfXk@fa2EDeAWK+}JImvm%{Vc`DG$I3YP7kqt4#-}q?K7v3oHzSb2mTIH}4>k~99cq7_mty{WbC|4f6`Rh_| z2nfJ<9P@Ub#Y-k4{JZ=VNxtg65AQMp&?HL_p&1X1)r8?03ZL5S2e#+d6G5h_VRzjy z{G#%=J0sh`((WBYF6+_(Lr#VZXE_%@5_gsfRJ}GA`udYhh3Iu-KWj14*7Jfai8rnO zb)mu<8N2CVNoGy?&LHnL&wx891mU7CwEetG6`(kiS^uS7lUHKWUt(TcquFi|FM)_~ zYv%L!iPclME<(RoQGC`?Mw`4Yhk4xa_ox89aeJG6%$N0nvMY&&n`gg2-lpEZ%|1wS z38sY~>~<4RsK_D^8nWYRfU=h^KSy5x*M1w%OFkmuVNbTbt!E2XAg8E%RQk%J!-itmddq;s)2g8-q&! z8jm}X&q)^Uene@8sSbDA)zB5#+)k*KgJyz&0H22ZI(x|2Am0VIinyVZ`;%ukPEq^c zUn-K?Ol>~Jdk+SiM@f`pi9ZWx9HOM7?Y<4K>6VjyJvM^J{8&AuDp0);8y!jvj|x)3~ImnDVUd8*Z6%Ts(pUJ>7hmb@9U6RXv{|i^u`AKyIg>>%>8p0zWy~7=zBtJH7bI+0c zb+|W@e`n{lzUJch%0Vw1(~75&x0*>V3P_(P4O(v^f-|Ge5VZ~(_3ek;7M5*5kJ)EO zx_hw&-1U-su$RsiJ5wAAPm|1ub+f+TPhtxmYct8WwZF8A>=g-?;O>UxO+id2llKEr z=~x>c;p@$e*<->xwTP1Ez{S~=zXJFC?|FNl3HAVDM|UUi`RlabOXn7vEG1MattZy& zsz8!0i`JdbTdUH=s0OQanr1VZa!to}os=UFE^n`3H7|}?_D5zGQVj1wMh|E$(Nf06 ze-o01PQ}O+$t`!nCdofPbi?jbN0VTigvzVw!o*EqGp5{^P(NUwxgQgyaf3OMpyr{5 zH(eeN&T8%od4%7&FRM=HRX4Eb?c@IBlzGsMx*PM6asccrm^bU=|bbm>bmR-6=0>92|R*mDU$@WTfaza+Gyn7~=7 z`oZw<(Z*``nvb&#ww&h2W$F4$hs*L30SoCi6Gd~@&YM!4vQjEplL$xudu<96;STs3#FgKK4-?q= zp={Ya|4%$2x?i#Mi7dVm$zZUGvFZ$vdaqdFSyrD%gH(m$2Mo6H^8y=Nwg?X!o!yUr zBNrpq*0o4@6ja$e`-koMw)(;k3QI$N)Kt$OeC0}L$fLjY={~FhkA1c~!TaOn5MU8# z|DEC3NrO+nFIfeBoHfUu&swshAnYIRCo0lb)h0Yi>?c}8Rko%E3-%jQQW|4(ym_V- z@-|39j(5LO^Asy5cEhE?BnnPE-4x7xa-A>xDT#r+!6(JnI)xv+JU&ZNoECxexYO{^ zXJD-ceI@22OG3xrR7bqBj?+_~O>r<1s0i23u&*V`99SjS8E35`yb(<@S!3~;2c(=f zHW2>V-|9|2?XKsREqCBe4VFwa$eQlGYnJ_>`F1*Lg_^y3JpGt7#@qR`tsHwrmU#ok zxw}raeYx^X?o_X{h=BN4FPwl}lcCR-BlIMHyi93UQNvMOThq=;A%>tJ>OB&y-a>bS zL4u)|W*--EQax5>YLpeljc3CZ?`!=;>)egUFRz4qqe#Yz4j<4exA6xP^KNtp+QfZ! ztFOh6y0ypD;aYvs(XsuPB!y2h3lGKP0xWLmO?spL{-z|kcXFm8y&hjhP4ph9x(U1! zqkj65JbW!{@?G%{$}{}&%VkonTVHg`4+YD}S#p{HWtR zcfztC8Goav?@}_mRmQS(51speN#W*Qy>%igk}4D&u*57@sVDV6OkPFDv|hzwcW;vY z?LN@+Wny)EW86<^_$@MxKgUiiD8PSg$KsytLoh#8{3^51VHioZpzpcnF97YRKH|k# zB?+w5Kh{UK5-G1p=w(0U^4_O5aN&l$OP_ghfz!g5CL=ycoT=OzG&WA80y?G6_Lp_w z%-DIY6!^mh%07=K=rUto+*5j7z00=FqNT!xYCOxwIvJ_`^*lFKQ_0h`WarsT^vS18 zhIb?Cznf1dIs{w;1L7yd8OyB;#<_@oDU363W#T8XG_mQPKXp>{?;MQd+h(;{C?!3s zFUC=g#TrBUI~aSv+RUPqFy+-qw9b4xh3PRHxMFgx-%``Oi`7Qvis)ICR*^gFQ_f*e z1h;B`?RZ!uvY0Da6#SsaWbtm>(&pn-jFNTrD!sMRY<|r zDJ))j|IP(%UTe19R((Yhu0wevNVp#uA47Xu-~Yd8;dvE$?{JW0haqlELONT#$?-L@ zGAaYYdz`qN&aXWNUlnC_ikn&)mP9zmJ?*YGJ!;3HawqdPCB<;k|%y+6pe4m;~?il`44Z4zb9JEvgP9vTO%dDP?{mYoa<%dRqIjH^#RKl zs^}7<4W5$tT{1mEjX6i*jSm|Cn0}J0%m*9@PiJ%39|NEB`7L>R&h=l_=bkt3Zp%mM zr@|5~XU)h}$*k3OIP|zDKiF%Q{d|tC#cb|$qGq!Ci#B)6Bf}xvYl+p8xBt;Y)6m;1 z%_bV+Kgly{)a`tkn%;q9x! z>R5sXkpRKnB|va@cXxMpcMfjBEx5ZM+}+(mfWQe7+{wY+Wx4nMyHESFFZ(nz)!pUQ z^G#Pz7o7E*{LeU;C^Jhs99I5mH(VvY(RptfS<5_tf38|+GS1pJPk0moo`Qm0$C8*? zHDg4fzx<`i=Bi0S4J;&TYWV$RO|F|$ZI!{%R>8ih{4P6_k1rICtMSha`;D*TcbYMb zW^x!}R_MlJe^X0$Td}&B8twWbR*Zs?(UjA7`Q(9HHJMXtL8u56el0B&VL!nw9#0@2Oxs!=J3;&uT$@7 zBQD!PhlIVnUsdm#1|dY=n(unaxy6WUxt1}m=K<6fsN=TFdPBZ_SE&}-QKq?^3xc5Y zuFtElC{GV=CDBsd7J|d=H2mCOoWJ#HHPK4j5#q-6f1Xipwio9i{_d_2Za&3$+7a7~ zl%+xb8t>KayT(5KeU*IY>1g@U`#kU5Uz)#lt#sN@A0NVT&F@fub54no8?3aZhX>(k z;15nY|0^7)*R7|rd)7AOc?f5+e^XoEnBKNpiA`#I4(#INP(WGn;BKz08s|7ZX{~Si zw}}jV{_z951p`U8X8V6le|zh%|7$utPp(=CV_@=?yl=kEN-IA-+#6-SN%#D~NN#x% zU&Yr7Ak0f9b_lT9w|(aIxkl_QTlcgZmEr9vsxabQkS;Mp)GyHUSqW4!dX;mxZO_wV zWkX@Ei2kv@G0Z(DG)U4W)OOYKn%nc7b}(Vn_x98j4>eE0t-a4%aqb zF+ugM?hc}ubuZbHZ{8>~J$lNhD1N&2s+9@PIjAV9C3_@Z@BV0pjldwB%+H}K4BV&i zqZLOXKIDr{JG2&kf^IRo=c5CM?>N_(BouzUJlAf5jyxx2yo;S+mNy>wA_nMVdht!Nbxj&4s zASJ>wxu}~13H+`Jzfb$o%f{`IDrP)MPRoDyO4-Z(xTW>|rgtSY+HkL~%LjUVjFQ^! z$U_})%K8p`{`}c1oH1FkEzv+vI=jIwn(C2Osat#7gm~Kc!rI?>rTn|gHGn0O7?<#^L zUT?{G(-!Io`tDd`U@;wi^Ynq}h`VNen~ zzpbz7G!(D$fu*MWbIIOwqitl-#g4(!a|y#{E7m2yNzOQGX;GgoPL#v6@XI(EdZUz6 zGp(d5BxI=t(<^6$t&txyG&Gdu(DY^nVmyg(KwSK-Ty8nWl0j>f=0P~E zY83%w!puO6DFwbo0b#Jwis>kg*Ij@i>wB#8yflk&((x^8?fm3nObYm*Z1lREffAdZI(!6e<$ zd7aK>km~hKSP9m~nL9~|4NXScniNI%h$`KVn%MelW&xudJ?=O9ZR6jTp)nji%^H6@ zq&~XdXDj)`y@E55!pt8_xuhnp`;7c$N5`+OHNkmMTVfsB9){H9L5%*W1wa9H1~Rda zA?>3ijpn^phCD%mD1drwQj0ytxZY9r88Z~iLHgMKJBgwT z>#iXuo%03z0L<9;_=IQ5@5tr+5ZBHAKCeF}0P$sb_4uh6H@(BvG!9P~^GgH--O8IM z^JmHI`6N$RLEFh<1q4P%4+XwC37U7mPafIzxZm{24o7{9kVWT(Zeu>z)8C4zo|m6w z@gB)YbAGGHz}inOXSXBE_MsG|c=wB%$AJ)nInyL%?#H5lxuET@fH(>#H&$7d$5WEl zq-MfTJ!H>rvdXs&W0R}JX>EhJV6~|aL6hkFrU8M?^yy-fmvtDmS^&I=IYJJilgv^a zrm;V$+#QAwdb=krV}$TWi&%Z}`-9aAt8zI!ANwG&Z}po&INht%d_CFtT1HVTi^l@( z0L0YhQ?mGCp6N~SEkUezD#$aHes)jQnDuDCm`&ZSCIpabY|e&0^;BISk1qDd_H8tA zLKsfY5poNJ=6v-msO|KU#a;YYQsAENTubR-JQF$yX6Zd9uvZjf;MG7_#_9eeZwcX4 z0BC>yNMu4SDPlY+Gb?vOLI{K$Q%&X&zYLN>6h^E{O~&rD&_WDEy00<}7D7Y(c3)-r zpDV|I*KMA`+-I6MXkKim>i>Hlnf?EF9$8({)ZL!+zXZ10|4A!ub!MBBu}1(yd=EL`yR}G9d|R!d$!It#a}5YkNn9!%O6}$-&yP$ z%$#4xg%tN=oH`Nv}QZ>Ii}CALwGeUnkqJmh~vci=OB@m=eKySK+4r zAY+g053&>g>?V{@+iJs)BH48zm4|h^xHK)47aTl@KTMw?YwB2AfGa$k0!u%QYR|U- zk3TyBfQ5y%MrtRK4A7KwX5`@eR=hG4*J)CKBFx41@3^7bxXggo&)*fSO-x*@E`F38 z7k(%BhZAp|%MD9g!`cCl2rv>7(hMxo%6Ima>JM7tG5129C=rVtgwg+U7Ws+Uxn*&- zon@y;011SThsPkCk2Sx>*9A*>x-c-XWjf-V@@^n6+4&#diiLz5z z%=;J3euOeW(*f;2YA95vbkA=8-D42Ex5d;h{5t@D2<3S~mX?;L72ohbxE1-YzDt+h#+f$}`z%&B*^+R>z2A6gF>&*?MU*_$HUJF^AgT zKtAE)Un_KUoZ9q%kyDN!GK>ITHs!AE31;L2Q-qfi4@%n`x4Jq18O9yF%>CZ*?n|GA6na`0n`s=iCNrj-{3!OB*eqR!xE1SSFBg7de+trqiUZ@=Jv&5RZ~3N%Mn}DKmRmPILIjAY8f-89!;pn zdmau%&+wk2|HDQqOp2@mpfO&)YWKvrKD+|u?^$)Zpvga!nl5w0YbVz+!}=YalC(4c9lZe}n>E zA#rQh*u~tt?&7R%ZM|deoy|YsD$+9(3@@I?<)`dauv5W*Ksu9bc|gd~+i1O5%=EaD zU&{w-SWT9h4Dbm0qIA&0vf;)kD{*gy+na<1)rg-;5KCOSA?HUlH02iUnry!D#I1Lu%#4_QF zDl)<0=2iG7f@u)Yh{Feb|95Aa9Sf+*B}O5^(?)_1y=jP}XT?w6c$5oj{DUh-My4iT z0??HPA(}OWM#oT{&MPKkR;*32=9e9lSKEw1) zc7rs~?fFi7-sSl&DA4C6?_QWEdQ#_ek7|DgE3f_?uy@&?Wz#)Bac!~K%!%{_WmL5OQbr>FLo!^?tX9w6hiG zCGu)Ld#`KpX{_A%@p1^(%*3Tj#;n00dsrOqY^(ia25MYe)+qqbZ=F4V=L2lv9xil_ z)jW-eE24SV zk}#zsO6_ejTDgOO4@O8{DHo@B?$=dTCuXG_Vci=VzT9TdO3df)bW_#7S51pO4<0Rv zjar}9xF3JmSYng=Udqn+f2h1Q?ogX+QxUm@V_S z^8(UM#>ZDV?j&kNEn(1g>Qgx$xEs&WTU3Urqds-IO414L-`h*A2NAA_4;R%Q`B|uX zrnhDdlCOS1aV`pE$86QG=COM_Nez$KpA~*nxj%BqQ#cy+aoSKgbV$_F3qBg*BFXi9 z^m8ZHAd+#*{jIgbud^cGnoVCan^Yd-pcScvB=0Kc5TY%grYUaurCsi6(bufN^F;Cs zgm>OGVd0RjIp6z4hE?~DwISShlt12{ZA#f{_Pj7a!j>|Vwhg@nF7OYRJY`Q2FJ%U; zI`QIWsMqiM6Yg*Q_K2s?VZRPZiw7vvy2b_TN)6*TDNZLlGY7SxG4eWoOtT$+Y%sZ1 zj-UUk_S6$mzWtLmk2x;DD;@C-f}!*AVUi&a(CQ41W?P?1NcM8k%wl@zZ*9B2cPG># z`mV(SeoSBajp21Qbgo;ly6N9O7S zRIVV95Xt(A(??b&{BfPP`R_!=7Gae>j&c~-DH&Q;UP?$~&SA+Qzne_qociUy8rcm(<`M;48nkhr#Vr*=) z;(H>Ynf^A0J1)(JxH=TVZ0WjX>};ELbv}W3pWpiXYy5lbJL7*Dxj(zZ8P~5#H#e|w za|55B$M+7_pgLx>&4qhu=4G?Lp}-Hz<34J@>+tgmtI)*ofNot;-SdZYpasCtx{Ksw zl%m4`e7q-VZ4^`Q4VYL7NV$M6JKU5e32uH6uMk#3_`|u#W{oFVvWn)JI@aKL@Pu;RBx`XVsZ6ny?V(hB*qtf6DNzf5QJ-E+W8Zrx4%Kw5&X!Y^5zVEI zm5@*Rh61zQ6b!{=zI|HSZMz4YdE*YR7^n{0dSrbhabc`ss)=ACeiyp7;cKYfjg=N| ze)Kb;jZ|C;aaAfdzhz(meErJtZ{EP*_LRPCki7>AXyi|LC$@T!5h!Q0Htj9#YM}Q@d!>xW7L)a_ul(6BmscO)Bn2Sc*Bk;LN;+8i2DzBd{@EU}y!_DRqnjU-rfmEZl zg;-o>@jKJ0sfahB!BkBJ|oKymoAg-1w?jZLAnVr=uT@5Ts*x?3{v4c;s$u6`wp6>tHAy-hM10^&g` zH(6a!tmP?)INHuG`8on*B&_O)_#Lq0aD z+2!N74Z0Z|km?vP99d@-b$vf4q{!+p8ofkGM10!%+RAhM!_BZeN=vP18Xm>A=F4#= zHE+RG{s>Nv#4_s;uQW@U&yE0Js^V*5r;0OZAff5LN|z8lzeYa<2>Ga~7JF_j1}1JP zRODIF%xfmQ==yByvI)#O;x;+=Ws%A;d1Qq3&6#jpi26|D3^I47+7-xef|RL!S@vFD zx7=SIc1^753sS)=nuro;)9@HVtmY zU~*yL=7bc)hbl8x9F8q;)4y40NvZv*!U$RMsC#Uif=up;R72bqjKd^+ZbP!=81oDV-WRO}zPu6b#4V}@P*mXF0ukGM3xr1#T z;Nv3$NM09LBZdK_gp~;{h6ZmSj@V0j^r1Zmyy%p9!ylyC?xJDaiLrTQ*lWXs;I4WJ zv{7xfbI*xcIN5x?WiMYoUZ@jV)NdNH{6$cncDE&*XV@wNHA)KDwp_<&3y!A2k+rc9z+hoR4C$*^14abL-X#ifOn z6x~V%SK9D?>kh0wm}AHD!2@%ug^73QeH^KFS}}M(&XCJ4kbS1eI%|&IZvQkEdc=2~ ze)N~HDoC7whc@9C;jYQ{C2$={i;Qhff{CwDCFc%Cs#>2hovXx2XV|G^ZM>C1Tr6{d z^LN{73=t1Hdglnd6CR8`3M{cV-!7b7c69FA=c{Sg1@XnWS@W)Vz4;@2k*}gvtMg-6 zN0W%0f?A|9C0}99FWzu*PrKP6@bkPIUcKZ^iSk@E#++JRpmIEt0%>%`P*?-B0Q zca43zxok+qA`76vpHu4IJoe(|h*^mg=eqn%@){$V6<>)NO|i#0zoGN1G8rRa{{Gn^ zg$BC?M`0OZ6*lkDTc3z*Wr(pq$_)4xbcqhZ(<2$Nfn_LdM98$?X$Czni z8{NF*FbKgf_xm^sqYDasjQ-t0M2Ed0#*R0p?Iq---b6`@GTf(SlIUuJ+If9lbY~jS z<(Rp?5OyN;m`65^q|6B&u%y6~L2n&->&5(h#+be51qoOk*Lx{RQ1qZ1DLr(__4Pod zy-s~oPwZ%VEuM=wa)_mrTwhs|FL)_GGxerU=<%xamem#3ap0?tgBweatvl9wB z*_g2^vjj;vJ4oEK3}4ox?o)+C{F5hoUylr}}7O?5K$+{qAbt$Y_q%<;N9 zn*A_UrS0|b%RnHEbSXwf;;cpKU9@~50;sorQBUJ8SpsOUdeC*NtcB-@@Z0QwVsGNS z`tJ2mhN@^KYIO_Z`_Nca-);@Q*WJcgSVd9V&NhDKs)d_QF3b+(C6T?&W_Nc-B8C_M z`?ru`l$Pyz<7d$1YcmT>%f4l;0ES>S{OavsnPahC);Qou=y6M ztBWp83qP|Z%Bzaoy8bsRX|swmlYu|MFzMSRWT>xD>Ic; zBMNd}*Erb$dtPduI8!%ASpFNE4PmeoDZIkrEq@ycVI}+liIFG@i1Xq^r?Er4OLiPU z?i3m(mOr{szr|#k+O<~Hpo~MtyTmvIpy0PMqmygsf>w22@rcgr9-K+^E!SQ@{(9qw3>(6$;)}h zdW7=_D>}I+;hM_ygr#q@I=Kd({ozU#U@XB_b;;KiR9Gy$LQT#pKr`QkNVc zzy}!|)6M|M)K*7WBb)2OL}P1H9-JV7_Ce!>oA{V}$-*OPX=oOr``lk)lUP7SqY4?| ziz>{>UrQ@HjW?e$OWE>TfW&&RS3x9p6~j?((>(z-0VaPG)`&h zV5iooHaQt{#^k>iceky#*T*_0kyxM*i6uSf*~z6aE%EZDbHmm-#HE5E(yqSo(C8R9 zO;SUd^>BgukUUC&6`FPJMO2OA2Aoj*YU#X~j6Gw1FDeSDYo^^`eQvC(TP+F9b>UBNO|2lo@v=3toOj~y(o1N^x%yDrM*MHBMHB=tWyDg)coDoQ;i+rOl`>e zNr^4M@0P`6=0~i~etFzdR*IJfewqvYy+Dn=+z_R}jW&*z1dd_J`&u~)=~|b#)p~xd zV$_Vz@dJ~hrclL<@>X-6l7L zBMH)Z8k|=10{gS7dLy_9Nco24Je}tf(0LU6+aW-dlYp;<=JeUBvW3wJziI-yss*S( zvP^pLh|%c4RWr9xQs2%GF+ChluiG3qPdtW@7odQ#GG*w%>nPUUCEMM+GdSvWi>_dO z1utTh{5#Yai8J2=nAGNXy6GD6xC?vzwr8B0!|g&8z36-1GS-}Pr^!;;}~O!zv> z847eL@4@*9cGx(F<<}p+O49!_@=>8^(8w^hqs~RVZ;_tHo#}DWl_XV#Uv2g?#t~8K zJVI&^acdd{SzwY8ap@hE1sN3}5s6Vs){Bf*B=gJPw(waAd^QkyFm*iUCZma;VvOId zOBQu%prsnqv_;nfOMyrzjzGyUltmc0PL6UU#^s!c9ORSAHK})6L}{8z2a=>%{M@T- zv$D%%>ETaPRReidox;SYT=Ee440@K#oCz0(X8r=RcnR?RSg~H`c7kV>V^OO+q135f zqgrW)l|1U9D;_qVdThG!-ge~sGEFELi>N8cI~?J-Rn;GCj>O7Yu=qd-#4MzOBS0b+zv(EyE=8z!8Vx7MZ+ z6^s-8s}ip&Rd#qXm#gHCuPpBgFZfI1Ro>hjtD%uaLA+$oT(QEEbU3S9=X25`ABFxs zh@c94y}X*WC!i7Vgn89Gh&Yu2#@I%=>YNcCEAPqxWmiOj-4m(UjqfnXwL2ACaAS1< zt#|uqKPb7|_VZ{*JZ_u#=(kzZSnH7H1Ow?Q_veq51@-3d5KK*Leg4+-U=K=_P25r4 zFHD4{?d?`iGD^&47{FPfTt1Q4y+|G5qcFKKvfO2!siJ^XGx??_NCfCXl-jd)z_~4) zYzob>%CLC8y(pr#-kAQZXF%jg@pkzP7otAJg>6YBr$afL;fN3a4*-{v%d&JimARYg zHIDJ&6d; z+wIF!V$0%}?ptMD#kbe#AUM<7<5AjK;j`%)s#vlan(ETPWR>=~6s-a(ZpdHvtaT}d zP&ji@T{7$P-7(5k(_Y2$RFu>1Jkem%xdUTS9@;- z4rPw!@RpKJycA&7wMA2uq`1gaN93G|DR&BOK;!9!J28hVi%;ae&jb>+iNgionofuJF&3wAeMbbPjK6 z34HYG65YlQu}m+N^wCqb9&YH9Lq0p*x70xfHQVQg5ykx30bD7v0h4ZbExE2har1Be zDs|h0nQi2BvJS9z>!l=e9ccpivn0tnjwQL#4V1Ixd^=CUNwman~3d{>Z`67R7;ggkHU3F)Ksi_76%%QI~rMM zIw$Yg=3Q)(G6gWZXMwsv`u(Z-nRclQ0Utg%=VD_6Cd?w|OUx`gd%Su9sTKPqltn#V zABtGAV6Z^iRV_DcqmrJ_OA!4usj0Ow)+9VbnOK}EeITjwxTar1(s40WtEj5PTEKY< zd~RlgIHI~2vaA&!0^ydg>TpsG(Xov*1xwyd)%1g>CHp!a_2{{dYB*sJTR4{re+R5uD8*>l}sI9mV{9C`0(3zffb!ll+`;c z@6sg1%*9FAzwgUu_qiLM;zDONu!c(HpgCSeeo8-IBjRXB%e}+tv$Q9q+c*(4kPIADMr2hWXX~_D^yhp_9D+ik`*}M0&;d5>|f~=pOB#W}I_XCnhJX z#B7d9wDP+aX`RM~=87t!c~E}fB-wJ^yPqalLhWq~%A;sL7PI98$;L+H3B;980fP3i zVlHs+{_HT^FfQG8)(r`*H*^$CRzH#xr)b_4gWC{xu~R!@Sm&(e+ut{K)h-#E&^v^> zRWe2Z4WXgv=ofh9z8W{As5^L06T6q@P79}u`nBx)T}`G%)4`yX5Z62$P~JC6!oodV@& zz8^Cq6-kAfcNIlp{W?SXol?ZCknSbhXITa51F=i>KxgTWYNu@iG;G%q;m!pv z+h25AP0%$(0}UPMH8O=Fl74QC9=~JM`zH*P-J&C<3A)4Tin*nxh+|guD|E~3>gl}X zf2{4X=Alu4Ro1e|Q`sBQ1nh>VrhAWkt7axw6F(Bl%U1WG$CFB#XsT8aq~ZxLU;pZ( z`CO3P(`-^-rwkpzA9Bt&h$)qXV-bb2c4F!1?)t6IBco3_a)ntwcLem|_c`2;Rm`6$A2t+od zR6m-}TM?2^NE%SQ4WokWyfrE(1n35bQD!5{uc+MR5l! zpy~AjrL6@h_#^*Ig*^h=A7bN{_)6woLmuuo=lZZb2?xEj-=$++h%SCTmD72uR`)*R zg%9V?nh4N7XwpkniX=-W>pM0ey{<}^6|m?MPhcS*y%?$BDYGh0Xh`SiiR#+V)n6eM znVGgw9i^Bn3YR1SS@V|hG^+IiU{->2;II^;badM}Wmznpe47{?n+_XBBAgAr|}V&`VhD;D?PwKa#RgL)uwE0awJ z*&Rb{aa!8#S}^4mU3{8vIW9W#tR+(z0WIYsJ4pFW3f#05zR@)hN^?IIjq85^`T)AW zXZH#VWyUc>ykoX=U@U5{w@|oqj2^xFkhOq;c9db68Ns>VXWZ&2YVm4)x3~cCrlUTqn6gamjAcd2L=%Z9X5AoUs*-bf%QBCjLAb>N#_~ zMBY}@XGfHW&sSY~y)Dz6S?Af`9rK-ZW!YQwc|uB&-z{323tdz!Rj6=0>wqC8;<9Zs zgn@2XzEc}BF9Wzb_!S~{n4|?fMN>Ig@?$-TU6R~t8GV6fPqcr~#;*uD%)Moh{7|{g z@|eC)0YN*kBlxFN_|4QXijsdJNbEE+F&h#3gu^9L>7^SB6Wdp&CP@WvRx4p(1kCRU z^y^Hlfth5B<$Mqgj}egY5HBwbZ`Td`yY-xw_Dl|aj^oCxd#!7uB@Zd%QF~(Y9p?de zmhx9WDG=_}akZ`eIWk(;0p*!^b>j*3RaI{-bLlvWVD42^jdY_lX!5;5dqG1Zhv-Iv z_31Rn5=1rg-L>D|`HyFN##sq3Ha43>xAEgqvEg0alv$niJ=pM8>4V0B%JGpR>KEwhw(dIYp95|VCw zXZLyEGp{TyAWuWiz9?(h3xx$a90J7utP2Z9&LANv!Ie(~TKgFW+?gKYuzsxF6pEo> z)_yHd3~w(Xykb{X^$948D#;0&@IPwoTl(QylTt+Rw%K`OW#U4>;{o*JH(rFQa*qiA z2{W!qXKgMF75<_yfiGa}Q;R3z(OEd`B1h8I)R8t^acs{9UfPk*2^-b#U5c9GyiPMrRbEjavnM}1Tc{-<;p z2MZ5OZkK|#pKSv(0Q7RfST1t_?3d9tB1V6BH`s<078_9@r?6H=+CN{_~-qV>q-q8`gCkG zB4#?~M*(1UMUPMtqnW8)=O1=jm4T}0`8f|bev zr+(2$5&P)wRT%o-{_!i2!r*b``1NHhxgk9-7?WdZ@q2y`x<6gPfxl<3z$_Cok`men z7p;e65&aPB*q=Xl=cQ%OP!G1-Zz{g7Eg9a!IRy%(L|ZgMRb*zL?dOUu+HXxhd$*3M zUnony-0O`!*|}&nep0v}`zR)k(aJwDyT&o`v+Ar1w8Bvh#~L3rb36z!IDoUl|yf(%Lvn^yw7mj5Bgc^?wB9P!g5-&mVA$sxsrTIPJ+f2`tPSc_jV>O zY|HC^)+dLVUUb)XU-avmjY+?jcNfq*3o<7VQE?rDmXCj}_OZ*DN|cMN6ESCO%e2>K zYQI*qJ<;X4&M=R(DxUndJmkSSI$rDMWZ^-_GVkgQXIl@@<^krPs+h;D2Z8kU8GST3Ru{M{Yb-T`=U>E8A$*~Dm{8JBUnf8qZZn= z2UZ}UnxFED;~(8xih4Y|o-QQ0?VBGq!R2%dkF%1QFZ3M!#m^lCxXUhLjhh#*GUU|P zbIpGBi3uK@G^foxdzElxV{%7!W8>Ccl*CO{;hr1V?tzpJ7)FPO-htye%YZ!#dg8RQ z%vMN1IGwN6&^GF))@1_St@yUJcD`9kDpCJ~rGy-+j={-9TP_g!BEh`H*VUO;Y=~XUd|V72Y$Hv8f&|0(%+i0v&9rNV;YibN}7U#x>d``DPC*} z<$|?JrQ)HWakmLT>oC+C;0^uRNlIk-v;E}bdu?E#F-?hy>AEzVyN2TlDs16eSFst_ zufhr;&(mB3hvFB#h@C&v)_gksFJ``keTN}`l z#?*LkCGYrK#ic4;8b?sC*#%Do%D+?^TnTZ{2iD$JRyiJ$WmxE^+1;SM+LJTC-JCBF zn7#d^{S-z<=ye{$BdKEo#$Pkng`Vtr4&7gM*y)&{aeV0b~sq#R4KyE zaP>XF9<M=iDr8|P9i=%PSW&v z$}#W9vCR6KCF~a)I#pEHWE<47oDv??QUX%IXPDt8mUUN1pnKn*ylo}_&a22*^q~+K zg86#*rqvAB*6e7AQh`Cw*Y^wh-{N!q@5APP9W2qYdW3V z3!DlU0_=1+E+YcT%FRfsfC*-p z)NVO@Edn)-+2nD`;d&` zOhH5N79;&) z$rxUVYDu>&9zlr6*j<@i(~X6|$1Hzj4iFS-M3vL95NIErxSGg1J%PLV1#B^PuQdv^ zJ)!++R_-t0=}TOI(*3F$`28q}rv)UxK6(4}cDUM${+m@U0}PCObJfRvE?G1CIGjT} z=+E(>NU^p?+jCtYl-|@n?-K11)JDy?#ZjH4E%bI`HSO*n=Lv5S1Z8_V$jkVf zHY^EP*Ewhb*zvB(#(zLP(-SRiBV}!1cR{NzoxfYI=mNGuHu!8|zxV6i&W^D@zv$=>qpAg_ zC}r)aDXrpoo)k|s?7`rsm1wcjT7KF|^Js(di$0=o<)Ed%JP#KgGnQIn072Y-&7ZZ- z4WtaHpa2^6G0R%cELK5Q_mq@m+$c0;KN|}o`o5-W*}NW4A8TiBufCVbC(&D5ngIa) zg8u9v$1Fo?&K)myS(Z{m{Ak)%M2)pQ^)EQj+G*Cyl;TnME+{_(R00(P+%K~h*t=Yb zI@)0lH}l6AYJYgFH?ThyZgT~)&#A>g`fR5ai z8PhTBmJMhO=%9ct3q%jJd%C+TqqqXU$YvzqwQ$!L!LKRuI%a$`UNE!RnRQd(#?D6? zQqW~MSkjA3fd?k@t;!5!nKd)azmg7BvqVLPSfH!#UE)nz#Myol(G?_m#Hbv=+2JvL zDYd>Zz*FS$mqxc9)lg|aktZgS1a-!?>6?ZGfM7dkc*wj{es{rd!wUAc4}Wp?f%;!;y<>D_O}I9knHUpIY}>YNV`AGK+qUhF zjfrjBoYoW{|C*!>rdQTh?5TnWou zRZju=Bd!Z7%TAk>o3hUe`H(L=6@$>GU{+MA`!uoYEg@lsY?@0~*RHrbX~hLY@TB$` z_Am8fEP7X)Jy9v@e{dG3en9eTihzEERIXlYGVpb8;Yjm>rC&tLl*K!BDS; zcYvFdGDK$TLsE$xNI9wH$8IQ_VW5Q96{_i0f=|(kR3(=TTJLgl zPk|TLNC(UCzNstQ?$RB&T>f`zy5L3A=F)nGe5xwBNB-LXCg14o$ znm0_u80wzi*>8g^JjvrWq#9D5G?n< zmH@}3-jWV|vHM&04l@uub;9-Q@Hl;|koVzhgst46L7B<&4^+GsD zcF$pH*0dQMBT@~x*@;kb=Jx5+Dm@08WH^}3MFNg2CTe2Kj+Dg-k`xhJ1NS)$i=oW_ z_?YOlI!1I%)C81I@R8ah=7mpRQPSq2`REoC`HQZE$+eUNH2~veAH>per6&$0pgO7R?N(^zQz*<`Q3r}28 zQBQ2G_;1h_Jxac|O*r+4VK|XnYGvtfxmZ+``y7SE)cPWie3mM%9l`iYk}r* zEL`+-$%1+{kHx;4zX)}w)K0!u(ie2G_80Au!pB?#at%mS`pU;m>td9nk|Ra5Bz-6x zvO>yoXI)e8D@lQLfxgA2>G{<)-%Wl00)WA|DlJYpUPeIN)w9UK;PZOEDS(uJA;)s^ zcY}#0Pc|bzvVRr}qKqEgi0sqaw$J*(0CT)jJHQ(Gpz}DO#iEq5Cm1#d??mx)$~BxB z=;DvYBb)NNAOPsSg=OiPz)!!Sbf@6dSU4loZT!aynV|sVE12tw=on8$`owesFP-u? zE4y8hlFv71=mAb#DeX+64~`b-1O!L*B3sxuZxh{UoU_nA>MZ=_WLX%I zePq)DonDfUUq;o?(I8KUnHF=VAIwvobn#C9G%QGfa6pnfYrQ+C=w)!H(+8-1TX!9y zVl7U+9fnwweuVi!Y!R1#Y_ZqnGn`*GJIx2}1}vb)d?$IABjBT)+yh?J#__&aRo0}N zc1Y)P^kCIF=wW_Z$(t5YEsCQp!YsxrFGO80iko))Kv>xATBm$??aq7N|KeHBKK7wK zgX7adAx{995Ig@CR;R;W?2cdOFjHG2{Ay>M<*#YNV#&otrSBn@M-NmwQ7wFfeIIxM zq-WUFQh-i3%VM=Rty|;y6b*{Md8_VdwhdSYJs^V_4M|TK%F8m>O}9R7H0-*`7RPhs zKjUA27{|1t@0KM$Q7@^e0gE$Z0BbPrQk!mn4YNEJt@1XX{OT0cC_feHnJgS}v{-;u zk>>{B?b1)BWxB*Y!<=UjezmzSldhuS(grEB#s%yqR!7P=keyqRVwiWVo)m)Nk@2*w zhw7Agf5~_w1sH(hg40Nhfvb)q9Jyn?N-uX4%(-w8mKXH5aB^iq{R0{yZzzn(3=5XP zn(*e;hjGH1g&A!Fl+CMU zkNJ;B&4KpTM0r02*{-heg>85!1?Za)euU>6(p>qI)LLxliy{^+(!Sgu&Mwe-E~7ic zXd&8NGq^G$8M?61Vol-ulsexZWnAOD&gvn>ohIB!rkruXx1gEvWE0>P7H4Ug@*VQJ z6CdC#v}kSzU)KviF&0w?Cyz8T>rE$epZZKMr%yu-LJZQ1h45qMI6caK6 zvlj71ZyY3~e4ewCJNbHv%YBYG<(f6Q%^?TUD?z59M(Nr#yqXPoEG-{SD}-7 zKRJ-&T3lyJQ(Mxjv6^|GiFgVlxMQviSzq(Lx#$zXe1-no;O{>*d9!*0-Xfuo0(Qlh ztI+b=+2(3;tBtC1)x!MYHUIULqx`U!zCD*N zyAcZ5G^{k%Bsx*fE=(KY5}$DPlb*)a&S3gUDc9J@vp$sY9<(5iq%o{tn3T7efvCkr zl_AC9YvQ9vL5IJ%ycOue+Hs#ov|Mqs{Cg4Uo_qddswJievC)+B@3(&}+tUahskh^| zHSKc!9J3@mfKaolaq^z3{mB=(lY_b{_k>Y^q0Lcqp_|m|dVt7rF@>H-#3pLyHR8+u zd|1|4bR4VZ4W0+Io^6Z^-FNeT&&IxV0EL5_SKeZiS$^O~_5fhjj11c$KHw)b+Paa< zG2PF!__NQZ%`%Swl1Rl zcAM;C6kY?z38|V zzeu|JzsiE+BSy1BG|9?_fzYdYr1ahfPI;jcD^i`O5c=yJE(;s{3FE`z@Q?efYqB?S(>tMfebDKI5+%{J`-N0GTv#nH9&02%5;_b%Jm$li~! z{W<64&k+t!8(EweAIyCuh;y@h`R_IS<;^0`->`R=Fdf08o%1?cOp&zsHv?%};#m*9 zkKcVeVv=fCj$ckh9{w@UKh6d0Q20XWHfK4rnw&1H*FShCd*5d*c$|hNs+V1^qu2)H zlF3)NSvYf@vY5CAwLpreGp0?FK(OH@g97aEw%KF1)?8_F7J{>xnVp@~Evt?3WWve4 zf&j5_<83)LcgzI@UhQSlLyEl4FM|_TJ18j1cr(zvfwz}n(gOP$d$Sj5Ob$2=n_r-C zI#hxqqw~{7^O}BQd2zVU2{uPbGclCP2|V9%3IiwVKuDZPt-Ol9@8kdv{yD0`vJLWh z=-3xrvfiC;?h@dqt2ay9|2@KFA?456`C2&i#k$Ikg`RLc7T)U&RaO_-7+#QNu0_7r zRA}Rtk1)fMmUMQFlss`bbQ?FemQvA$A&u9bI73bwbb)BoB6#b`ASkG}eEvv1hJH?U z0Q;Lo<<@N9f)UQ`r`xq~+{?044&&_8Imot$A^YFPGTO3kpw^3a(s>`zVB$tbRy~bs zHL`@ip#6AeaZ0>@U~Idh*jbQ7rCYyW_jb?%p9+dX*8LDI0ShZ}W>3xp_T$XwT^{9V z*|+qONaxWdTFgQ|MbL_6dA-G5oFo~rc~MI?@a4XfOr&a$c2`yPr_w89*p@g@A%kv; zA-8{h#CZY$A`R>A@J}>Jz(RnJ)Sf1a;F}^?*zDH!mLCc#Rb0$dvU7L0pY=vX4BDI2 zJ)8MbW>g2f-sI6Ee~900_2Fj`DFipg9)bQG12p9Gt^VNN>El7;ec5e5CSnHA4VSL& zj3u`mwzZShpP}B9IWKv91xttiGSmMlO_hoe-}tnP?gItF#Vhj-eRucTXPnC~{x9jS@st@^u(}m?#+D^@5<#`?}3@x`ayxa@A{ZC4Ni!0o} zO!sGpAiFDlBq_W+D7pta*fYfqWLj3Iqg~vlPiTc*kTm!Cbeo@POzw9w?5KwM>h8{c z2iuexi<(%rR4Ap;#NK`vY^A?*^4Kw|TivwPAxuwvEwbl|aLH`Z69uh<==T4X#E|nV z$nb-%iJ1(q36{h2?m6GHvA${43!9w6qnO~?%~X{Zl2+gh6@lL+NXIZp-9|$4_yVby z71$4JtZmk@VON@`LCljlbyc-NC?@Vw&99=QNmUF1Iy*H#ZH=1t1`irNtXzRV zPwG?dn_b`4{%7!;voHjKl1>u_>P1oF|dTSE)ooE9NXj>Mq&Yw}mx>WOdTC zR=hvS$q2{=JG1U(6deLT+?N9>1$eUK#(4=2?${zYA53f0T-nOz_oQQ8 z^!4Tf&}fl`5OGmm;Lq1FEMEE96KfI*Z=Qrs;8b&!aV-j$GP!?>xzB-hBCQ^{?B9$; zM!E8zZjAwk4F~bFyqiEm#JuAve2_*&ZyXFZ@&KC-6@Kmxb?&&lH?54DL8T?dkVn|{ zesxS7mIx7ZZmnzm;;B=IW>d|VYUa~+`o_tgqi@atcMh^`d+vu%u#~^S;p2Q`1Gl=|3bGpDXZo6 zSWg7xMNVe_GFK#!od)b;3F!G{E94xcDHZ|fb7`D2?0e8_Sm#i@U(OI`tm=gf4!;`e z^i|zOBSa~Z)R6Gqx8!Vc#XEbq8Mp(ef5!AQE<$?iM^yDE&Eu#wOsB9Ud zjy1kWo;vSz%oI(2Y*LyvE&E=D2*5ihemVaB$kPSU7gNb;3hY_l$Nsydy{w51=RWBa zqSoiWX#x2418jD~ENa>>U{&|8VHd5OTcejA1~^o0X*f99#IxE6=)UV~ue%DA7y}B>Q{LBLJOh7@D(vgczW1QdK4Uabw@bAz#MgB1#-hXx8tY<%Cr|I9$ z4QDzQoLTj1vIMsm)f*)hv{mL;=|GBBkg_KunSpW9 zXZ$vJSXXhvJhs_5+}i-{Va+_OYQ17Cu4fcXsCZsyxFOvoSLKm|fi*fmm-BPv?o&<= z#44;vd8ZhzuQd&Ie@`{G^HnR0;5wclHI?DAJWEl8o|XNW&!GV!zHHSOq!l$Ewtxnn z*FX{zO|2sbmsVr)m*4$;p^rSRHRzti?^{G(OU>ZvBtHXdBvSO+B$%1Q<^MA48W}`G zT`&V9zyI-uu{f=f>vSEVUaQ;jM|Lp4^Rm@iFI4KB}bkd zoQ#a2T5B8~S0%$i>?{m_LHwK!R=sYzXs0OU5)W3!MC`Bkk^;V z?tdVQ8IV;RKad?Zd;|%I){!#wUi?Ew2SM|UQ4#Ah1)h<0LSmLN=fWtN(ha?IhvkUK zR6IB6xA`I}CSDM)I{8M}d3iLf=}twFTXb}$%GLQRSJd^;g=%G-iGdgnx*^daCx>FI zZM~%Vpm*O#p?a=)@W>=ygP|^Xq9;mrAR48SWZNc&f4|+|g|00gJQ9yiq_mlPO3kkK zZQx+koQC~L;=OgVTS$1HiL_h#<_nwzwCYwRFoanfy%HM0z4Fv1zlZwGILg2+MuH*a zcOXU_x8=O6UnLxH%yVvMa`-K*XhAxP?(oweO@c|Jm&}mH0vspa7d5J>h#mTbF(gS- zpUaYg9!qcW0XAG`REtjRK>cSF_@-G`R;g?%1e^Tl?Nig?l6Rj#EyR;1LZ1Ac(7$?$ zIfpV@&cLc4lQ&E4gVw_Eqa})Hraa0xP8Lr!FZvG5F@)6AOOfzzgkiOcfWJ{Ih*&f} zEsw+ErQ10JSz7XfdoVq_I(MOzD@vUVtEe?Kw_XmU@y(3?Y}M#e_gKTwsZft~a@JJ% zFk4T-u%9u_c_^8zNk1T(eT07|dekE)x2*O&PvvPn#Pn~Lpv*krr8|JE{hxbA!VVCm z2XgnnP+yP-O1xmRWH*=tuV3|mL*xv@zlB@`1Td-IhlW0xf+zxVN1#Fef6bbpfC&Q$ zvc}tCr_|hr8hIpFQ>&{%>TbkP@QKbr&s+|c&Svp~N0g*iE?VRD%f&-kvM_GepDHbE}6cP)uS7NV#xOM z=gVVPToi`nh719a_~J`q!DMGtWpgh`yy`iL<)J!AP@;6t`+l|T?}-Ae@bo?O{7~mM zvu@U-#$0*(<5Q4b@ZxItm)7Bx4i(zyNOKf&54 zc9JGDfE|z~#!avg}@dG^8eQ?j!^TS?3uY4~>v-s$h8N0i*Z6vz7Cs8qx&I zW;Y*Mcc2gy`O77n8|=92=;a9PIPqpgavQFjb>wT-cWbb(4x97=iXo}`gU^(5jHhl`b2Ib}O) zlVR2bX#nl+yd62lA z>0vBx8(KbA1^z_?5PjT3bx{%;K^Mq}iP7jR+VhwA>)n65F8+sZ!Sl7~vN5lhA+}Y{ z3!Pl4ILE9dZ<0q<=~PQQ%APV9frY;poFHC^eQ7SgC$KP9R+KL(_Jz63cZ!J$rQiCw z&%vcaQYFJHwPyV$M3b|6OFn8*D$u0{!XyIf5or&S21{0#wr+_jiH0zri*`Y%F_irt z6)##BFJ1iQ1@x|pVWR{mqnV_nUKdfxxNcMg804IkY6Mugz~e(@v?L8I!9;)YP*sA@ z865fLeudp{3=D$a#F^BKuIvnGh)yw~km-4Ii}V#xcG0m-UZ()1dq-*Sg==@=FWuS! zLpC~!#j}eGn6$DKo47$7oIH{?4p|`lB9RiIijdBl=wNGR9>q#^RKw4oTzlu=)S_?X z3jT^6wLlHzn;X{}xtVn}n>;7^&^0!&rdA5D6aN4fhD$Mqo*^D~QNvymfFFpIe7rf| zc*}@FoSH*%8#qTGU$oVOot9d34B~icF>77P#O&t#e{j{+4+V+MDvy+QfN_>Bqh>egI zACrk^Ofv0Ap!!~DBc%ae5LC~auNKy1+QEe6vPKYWaO31uWgj9S@coH{o1lF>eyE;) zg!?SQU82%8nv%ATomwvJ_(;mz50I>GFSRc!g7@4nzA#b3wA}zXI}?D0zeXHqr$1p2 z%_jC2{fFKMv6kTBbVq)H!7P$2$d_5?D5RtC?P@}=R4rKwgp_y1t#9GVHBAH>-ATYZ zsqLnwx*n6TP)V=LTU*gzAYRCaeJFV}396SK#@a1xE0Cev2Te`xH4!_WNk# zB_=%kSV7p#=WLFalUqVwJ+nrT7 zkEQaQqV5%9#_C6|BrA23YsS&~<@%a1ENAbEeqHC5h6ZxG!PrnTBwat?n;Une{oc%8 zFnIQ~c&0tb&CrUrF66*oRmPR}@I5Q0Lsq8hf{U?7j~GdW{GFYv(wx7_m0U(eTkO}h zvoQ~Gd4Pier8#940tN5)IGA}8aE3L| zEPmZtB3p%U#DIdnBFVxMxgN97U`rFYV(o;^gE8_$VL#)5-9ba?LP>lDM)P8FrgG*y zR;6luB)`kY9!T;6NLogzP3 zvbgyr)V1f~MwY5YeTUz-Pn~&M*j+DdSbg?aE_oXuG!o(Es5ifvG6uk3n};86>u0xH zHlAy0qC`;sWqW3hXOlQ_Ka)cYsQ)hJZf5b+3<^4t#dw?8uEQNmT500@5tkeh_jP zveQovqax}On~yeh?Qza^OdSi>TI4OGSX}NQJ{JLD#g3Vsbg(XmI*`GNe|2UAY|}a& z{TsTg#2oD&?AaE}G!oZL;uGItKrKIV@UViNM;s za`Cgzrq{nITsx@9270!30?;9g^G$6=Mh=?8bmc4(pXcg(a|Z@8A;seh(Jf{O)3Afk zcPl4w$N0fuIM&=PQ_*v53$g6U`0c>uY<-ZN@q z8biwb^GBkeo7bxMm#qjpPtvwZL*L=m>rFhZW%jL;9-o{tBN!+yuYK(lG`ZY8B>5A` zs--tB!|dF>z;Bi+hwz;Eqlm-4+5Szg|MLx3?D5Pi=5e!sF|EvEKD$ni68~cWym!#k zcKDp%Y#f06E6uC{TD58pSm)HJY8ws9JyOu2Hjb5NW#lBb5V52$ZX?|;oRt+$;4vnS z#pfrCq#^7c+YG4~67tA7tycWaPqK_DF98b z3)0HRm4nnZ0cr#T^?nC%QzAabX|kSr=3`>2R<$Z3?LW3SM$(k}NSC=8m|5_>q?5wK zcwNkRpgq|6GEl}QQcZa>2?Q^!5TG#oZAiYNQ(F4eJD}r@^71IZK|FyJxYoPFgH^y= zi1if4wiaV?{-OhY3YJt^wa7FSZ|T8Cv_TA$j$cZw48#0yg~N)#r{R1bxi2H0T&H4w zsS2D!jSoh5|AY{Cf2RD&H}SrRvutG)+hA(-mx92*Y?bXW^MgrM(H3pLmOwG&o+Nk! zaHaRf%yxPh?Dz~Ebr zortJ379+z;sCXfc&e|}Lrb%oAYCe{IbxadHco>{zsX=0af`$S~gI4HuF*MhKf6Ryo z(@&?I;|yod=jlug@0Xgdo$1@688iOSB}-mv8P0cC1{l)VD4d@SFYi4Ft5VxQ=q5Ry zSeSfti2)t3wY`D|a3Z;r%f;9d1G$(5#QrDBN3dVZcFN=#aSJRtJvKdo!q^@xF6R6_ zlMviY|8!Fa@)@#T#X4G~$({SeRbdf-tS$OvUemyL?ce%%QZHvHjNBT;>*WH!a@eY$RU;zNh^la!Xs#5%9>hUG2sIe5|-W1NlEZzo5 zr9xhOVcj2yrERqvAdon}hpjdqTf_RpJ|!>n3o^1+6GJnbT}y1{Qj4QLmfy`2r9`Mv z?Y9i&=?nObc&6}qgS!5OCwK~m9et^qIHDi($VQF;yXh$JSY7Vbt)&j9JUmWO#(o<_ zmUt>rsZD?Qg$&a%E@NGkOnU@Pnfo6a8nu{*VA-5VLkDxN(3og^WK5uq3Jdz0#G&i7 zSMYlD@;>a<!Iai$5wEj#v(1 zO*}%b^f#$PRX@CrxgNX`gkOEzPE0Vn-_MvbxCBh%qV79%c|%mIlVQXYjwn5X<9F+F zy}?^o*^ux4W{uOPML(&_`T{pcD)2Yy8ch=CKCuASo?&a}CYpaQ2O-w zIo}KVT1Py6o}?s#ziqR3c7JlHH8zNZZ9)xd*nWZGURXu6jbDXAOXP*kszj2qza}nGAqZ zl4jw@u8p&&*8abeQ?^8hrB{ni6#kO%JaPFIyEYr6e;i!ifV%>tMMK5akNfufE@ybU z->V$nimN0!|HC0id}RqGxWx^1h|qhi2cuY?mFGjYX%2BO2ccX9sJddvOXGy6sGe)N zJf2&D=!qZUKA>ow>DD6-JUI2I6V6Kdu>2THx>u}s9So1?4)HB{QiPJnPdV&lo4QHr zSWJQmPMKv$jUXMxREN(n{qNYFc$~KbvNs^v$A0Qj^2k5pjmMw9Kt7F5*zdyIheh0^ zudD45!<4vN_gq6kH5t-Hc{%;sDKC-8-&`QsABSP7CLAW=-e$@{UFNe4lS5@05X{No zZLVSXJ#%yVL)?sqwkw|v-M*oDWOKoUQO{d1l3A}LT3U%tNkc!D%`HG2f;|?)eW@{p z8%sY!;=0_>CN8gF8SULPgc(;(;DQq~q%f=H#3o*80 zgMLJb^jFjctGF8uRt^cG>A!EaWLXNA4f1F7c-bVsrM9-m!ldHul3%e#CBsocMI&nKqrqZk)dHf-9jVrm1Y-DaRGq{?FFL zFSr(egdY&1eCJC}UrcVTf&H0-zWq2>h!6>rA!s<_jFD}ekAnJYk*R8UAVm;OMwHT^ zDvAyT$+1(Mc(KVwq>^Pg~bVGiOlF)(BuGW@h4GY6i!s_CE!*6pgLTOaO3< z@D-R+aW>7m!ME`Tu1Jwl8|DS@)aEvNuE)K5FCT1=~aD04ljN%>uNmT%-!T-$~ zG5znis4x+ztcelmDj@LRhw=Yz@xMQNa1$|e{zohW;&<`j0HxXgFU<)`bN*kNnHiMf z{=WLhjmw$YTL3JH*qPWt6fq(q4xlIaum9}a>I!;B01O2j`LFsxw|oCXLc{qIrmz?T=U;B#t1ZQw2o^f<`^yy?)(&kEglk1IUHfbaC zO1m?cU2yYda(7lR_v-=4w~O`sSL?*f9wm3prE2SZK5d!G2Dgm&%uOAMGkp10UGx$Ptpe})uTZotWi7{pBV)5xR#Sgl z=i2DiR$1A3N2?VL>PpJ~HDMun8H860I6wNoa@wVu>RR(RadXdFU4g^`b$1QBferb@ zQ#zsIhexyhtiY^(GCW1TfdbPA&L1^i!Q6ud*GSh@$@6uq^ysf5Mw~O|Rbh!HA3v@t zfoVAIbxQE7pD9Pt0F`3(1-s#s#aTIt%5W@EQtO!#W>i20vvK?RP)3oa&s=@kqueke zv)6vY$dz+qkYb11zIRBLUgK;JpqdX#a>{}cRlMfM=3ODfH@~D0Ez;qJjl+iAuu{iO z4e1-bqmY}cOq-Efir-(t8o9|iMiO4nWd%0q{NahMr6}uPEjb5ox%Wiik`Saiq=-d%!rY)Bo(5M39IM@b| zZD@^`{1TL{(Md5E+K(@!2>a*pl!&Bi<`|vN1Gtt7OH=&ea=Wc;0^io{bE zxQqDkxyGDA_{L7VlZ*fjf6{OOo1zm7$QLB^(MwPEW#Q%sb@aqCClE=OdN34sF4Jr3 z>D4*OY!>ulVVBnQrfjE3Y#*ibnu7X{kO7RDfaRPjYax0x4a#%tkeT@pQyk?}7bcxV z`eZs{y_1OfEPP=_&#j2Ru>*<~*ZlL|Ves0}yRSJ+#+s6|@*Jt&NFl*5D6&~Z&0*MX z*Og(bjGTK|V1)|`Z^#i7taxtp0DZ^_5Z16HbPCvPmRf6XdH0nI?E1GRo=9k1r}we^ z6GdonAq+6#KL&sva>OpppGa^p=Ow?gE%6x8?9{CTTcqv>;>5}vJI3CROGDL5)}`Mj zzuitVm*O`>*+NPYiehmLp>*$@G4DvUjc+8NcmAH3P(>)5#(46i4}!tT!c{*O2CHar z8EtEh(`n1D&&T>63=RFIs7_8CROjbMzaQ@)^AQd{R_uh_UqrzZ%n>T~aQ-bm7E8*@ z{t0;nuxrk%Uw(B8B)0!*qEcFMn;+<{sbYa9UU=Oia7hr>xqh1K7#LO|rq^?WA_!oh zOWKUNl^28&Cz^8Ys}m4*1n1Z3=@XM8SQDNCuRj?MXo(4A9Zy5)|Amln&{_9wK!U`J z1;JPoQ}6r4FxQyyz#uynu4&1ZF-E9?;2+(YTOlo;_-WHBEYW}8!V*HPG9lElSm^8h z;Jk8dvkK-?VtD4k!cT(f{tSWPahTivTH&>muv@Rn|R=@I!pR4Tf)q5Q&pK zl50l&3FUiliJpj?MvmHeYJsXpaqz}t&f6>TlWV`hQ|7=*9>_1-!<`__0qriZKHDSa zfzMzQqAO~v(`K#o|JFKiMYeTXnD9MbH6Msa#`@Qk%-`TU&AusQBbMQ?s=fvKrp5QQ zx(zz~UabzEDk1LNBS`c*9J`i;p(Iu2w~vIt)=~TxPlF6at2Qs1msjsY58-G!OC>ox(q}TL#OUAAYNTlxwHX z@+}=sP+=P?*ZVnU1ot4EW8VOLr9JI1Vz945WRZZ;@<6jA95cTB9@&+;P{ z%xJ2(H{fu%Us3Qnk%RzicD>CCf!hpI!^b)Q~LokPGgVjmFBYNGMzp zGZ2NHX_+{)aCJB?yxLTse(pI@o+HJ>$m14%51__ohB3eJsV)X;LC-0;tL z?U-#Yv(O7XF7(Yj%YqHfX0a(bQQFEB@16` zb*!qw==C7c1W1dcJ*L0+%GYGXbk8tY^KXT;(DW}XHGdMwH=0|}KFA*-S|+ZA_L+cg zm2#=6R3l>B{V5lJ>H`DAP)_*{XOaoK%-PR>;)S4cBS!iAvHqrQ;j1l${Z^gTU;Y?` z@)H0Tz4n2C*l+!~iH7K22uB8n(=TLCy8$Nsfjt+b_P{D^j_v}sUU|?I4~9%YMNyy_ z2w3#!D}^ffgbI%>2XatN1?#0tP$!y4KZ`a5V&$wo6WKLV-QF||em`~id-N(KF+ugE z{%(}Bp)*_^%U{YndWXwD!rN}Pf3z>Gu#G}JBLWY=F-o>j2H{W@UGYVomunT`6s4Blm8{2ITL-rig7P+$CPtxX?%0X6@ z&`Vh}D)^HYCN)CM;|MH*7E&HH%e#kRvO>X!a2yeZvY>OuT1(0r5u=LcMuV2+uGQu| z$u9X99e1m)&>+E|leVjOJTkF%umJyanQW`yNK(qm@OXpWjB4_5p zc24aA2bYk-V?II;#Q`?lYZrfz!k;YKT{gkx2C?2t76PaZKTgI1U}RI+UPs*8hW%Zm zvm~(9jj)X^SE61;dxXYc`GD(2x7MK0TI@PZf@?EADW1osjZW!sV;5W|Sh%rThe4IJ z!OD)%$ci8T4qd`qm#{Gqr&&UZ@Q})_KBwo0vQIA(ilpZvztwyuL)>H7FIxk3T zt_yh$HtMK5nJo`17}ZE!$81R9Gkc07O*&|7_f=nD1^D|>S1oc-ako6)IFxEL7nrD~ zBZ&tyM8t58mo+jR^`B0^xaVEKEDYi+MFDG_Xf^clkAL+!aU7K{dr*7z@f#8a#s}o| zp!1RHDyalhc8le7(1>fmA{whX1lKx4?zj~<*GA~YUu5tf#!O0aymlQwZRT6QL4U)f ztjG%LZXp0B|d9MjDe7{|QMj)M5fyKas^8SRGRO+f_SB@Wrp;&@MW6Qde>?rN=E4Q>`0R8a zP?+R28ETGL=@38p(&l3wsZK^A01l?dZrZiQ@u+5?KPlV%6&ymC0ns3)w5!dn#B|}t#)hnU_K?UF+ zy2(eP>>}BX8KPAO&Fq+pau@XZVz6=gjvwNyf(nwW;CN}XZ-_FXv}bxGEOhKRg%YDDwuFF^EB;#>!ag<|`#8TMiYN&4T z1tl%@u+1Y^CJpbz)WTqOGWwn=S#W97+!!FZa+EYl{Ji(t0An0aLywozaKr6 zcOsLX9yyWMbm>j1X67}#x>(!HO-EsWl~l3VjhsZ=K`sFDTSRf8Bfxbu1UjX>^}V|m zO!?XxQM`-n(!}WNafe!UqtY<~uiAukHr-xkL@~{|9wA-p;6NPhsAvwT)E4Y1?RC{?{sdM`&>E zDOcwQ6Sm&G154(qX%;?InyJ#Qr2;YqI!2`*cI|#~-nvkT5*O*dPSF$4QDM$CyPGBp zh1zE%-5Jjnu2BeNz4`qL8E(UCvRZqq8#Xh6koSZq`OGK}gL}ho2-NNQ8&oTO5fj55 z(hwNou8S-VFt98ssQZlZ0%y%BJw2ztAjXIRL>|5c#xvR4q0MVk+eUI1$T~SD|3GwZ z(m{g8>n5PGmJxPH*{emOAmp}tUU1Tpl2T#?pP^~3Tuc?}!eI`Z&plj%VKY)Am!9?X z??umc4P9DGTY&kuV{OZOaz%5wCaQSR0fB@iew%3E;YwyBq}$PM702o1m`h=bPyNd+ zFnd*%Sbr=y@dimQqWb*20-LFg*e>>r;=pVb2ZjC(L`Jh;1Bc})m``?i=*F*Y%n&Oi z9<{olklL)1Ox`m~O{4DRVgGl++FfzeZ`~t0^gAKI5}p6I@`(mItU=w1ir8XvJ{Yyg z>Mc8d*YJ;s9WSey%pwN`!wLQ!;!C-rU1y}n$OO`93?gDH`*con?Sq9b0``QT`6Z=u z6gtdy-nyJq80>6Z%38qOTQXOTrE3ZiXzy5jc;oG)m7R9CFreH+ksPTtnh~SYoZFNbK5qqFD<+hwVK^BT&D>Y zx)<7%*V8Taj9NG5_8o8w0k50@Ryg`e__vX)OsliacNVu~Qtr8znz`RW0%K#Hf#cPy zDRaZsZFnpu?o?d13bYq-SMn@c?{+gwe3OrbXRQGmlW&+@I;UxtFGc6_Lz z=UK0V4vNiPRqcP@NBv)Ozn%z3^S^=^XL|Afy??wkeX8^;@K=64JM($P5@6-!{mB0p zsCl1@)Xw@d2s+>3jyvns5Q+b4MD-A7HpwTi$es0>^?UjUI1*a~dok;U&uyv-YB2dS zxHMwY&b){Cry*NLeShKYtx|tM>OZezVO5Dg!RhM^#n5$Af4&hU-1kq`pljYlawmAG z{$9KFW)7=u--PS9_^W+@envQZ6YnrS>D(n>S}LSJBMhy$s<6hsq%nbxF}~)&!Nz@D zF@H?JCT?N)Pukn3JhzXNZL8*7}~jecEaUfs&SC79o)#XrhLMA7PP&37P$)rKTy8 zMPgYIrD#%A)|orkZD;O@Yg z*DTw4{kEEE57nO?`0`7KR!$qdx8v%ngU@Xqae3QKJ?D~jvw#2TpT7Ln%g^7mYeo4Z zO=jjst(f0(q1XA7jWgP>TVHi%=a@e}SUP5RJ+D6Av*X9ZWq1`~-3avQOIv!~ee=b& zi?@im-_II!_(i^?V_@&2o4-1Es_}H6DHm>dZOF>v)=jIoX1}igb;i)sJ#KH_|L%vw zNofxr@ZGsxtIt0E=lGuo-*fPlTieHNxaH*GzpF1@IlFQ3j{XmZ_pkr0$MiK{H}>nZ zeC>)+rv^Se`^(Gc`?2kZ_Dz4`v&rh%)f)#jTqrK>zhRL)S9ja?zkZ&$?9InU_I>8U zTlHu5UmV)dx6kYCkIId|>_7VL)dTa+{9AZ?ciXnfzpXj?&842b&%FQ5)FIpNyYq|X zgWlOPs`~7J9ervanz;B<$DBjQp562Ln(HQ<9tqzmT{!jld&@=)xLw{cZr93&y9y_p zit|stvFc)vS$|(SF=zaeA9kEr^Y8UzdaO8-N`DH6{+v?E6f8?=_{Y)3LOCpy+kx8@ z5qB71!3?1YpAq{AJf|f?n=|u(81;D0=29^`IV=Y=hBr5k4Tet%JIcZErUlUT;rMfO z{Mi%{riC)#3QJfz)aMhez+Of??WAkeXmh3nmPKqU(3=y&Tx-UqFeMk3#8g^EG-g=H z6UF@3~32-g)4A|1>jzk1%K&;y&;#mV~h|);`wQ@8vIiL~k z8Ze8(EDEzI+@f%c!YzuhDDlWz#{*$eth0gTcmrusESU>lMcS1`(H2EpTeP)BTNI39 zmr(2zvOpMU;>cAT&nC85m{>4Ou8oL=!z9L|F&>TaXpF~VJQm}z7>~zzJjR1Lu|pi= zMZq`8iK2EBc8g$YIWcqHIcv(O?3_0nb)z%oOj{BD0JRCf_Ba?EA)~KTXhJd9Xju2^ z#s>((8d1UtWt7li2oFVQXbq?as=Hh)1=S04`SMc%twVJrs14vb9PKyFbM9w1b=mLd9U7iJc<6>Bl)!A#o%pmpu}xywe8#%$z%INMjRT zZks|TINdg+OlG)kiYSN$rw#s(J5K0`dN{rzjFrhdPnMcW{vOB@|UFc?l73uq!nAKos;p9G#WYuEP2>WZor}|E@7%cJS|;q{8kuFe zTUkL;Y}T6j^OmMpaA9@;jt)U9vsp-N)>~JWE3?gT+U%X{uS6j2^%Ihsb-jC80!yja zPah=GIc&!K&xW!m?VC ztQ3iHhAdKky-)EMwiYsxM;dB&1u=;c#ePfzo~|UGF%rnH?SMxUdyrI{mGt)vfJZ7> zyD=urpI?lW#+CSsx$x%$@Sy5=^Oj~aoCAdy8yIs{$sP&AD4U~`xvte`j72iW)ASOG z%~`{dg>7AO&l>e`>INp9nX-e~kwn$nOUSL_xe721S>d z1H0n~*ypbSaA4wo-2ftk`n8ELF8v%Na1QYMQ4AHqTa$^_i8Br?+!%S|OksCmxQ4Da zGuT=9XF95t@^cI3Quu2Ww8^gXRxV{)+rm;+^omd%km{CtdomD){ zQkuz#kY{-d%4(Er!C_wDjFb)a`7oasI>cE@GH_1K=HY;t&+Cx4;G9AVHvmyEsaOQo kCn5s?cyjB~Fgh4Vuc>89<>;&omT8Ks?!9-+#IaTX0YKr62mk;8 literal 0 HcmV?d00001 diff --git a/data-workers.fr.manual-edit.txt b/data-workers.fr.manual-edit.txt new file mode 100644 index 0000000..4f7442c --- /dev/null +++ b/data-workers.fr.manual-edit.txt @@ -0,0 +1,3920 @@ +data workers write, perform, clean, inform, read and learn data workers write, perform, clean, inform, read +nd learn data workers write, perform, clean, inform, read and learn data workers write, perform, clean, +nform, read and learn data workers write, perform, clean, inform, read and learn data workers write, +perform, clean, inform, read and learn data workers write, perform, clean, inform, read and learn + data workers write, perform, clean, inform, read and learn data workers write, perform, clean, infor +, read and learn data workers write, perform, clean, inform, read and learn data workers w +ite, perform, clean, inform, read and learn data workers write, perform, clean, inform, read and l +arn data workers write, perform, clean, inform, read and learn data workers write, p +rform, clean, inform, read and learn data workers write, perform, clean, inform, read and learn + data workers write, perform, clean, inform, read and learn data workers write, +perform, clean, inform, read and learn data workers write, perform, clean, inform, read and +earn data workers write, perform, clean, inform, read and learn data wor +ers write, perform, clean, inform, read and learn data workers write, perform, clean, inf +rm, read and learn data workers write, perform, clean, inform, read and learn + data workers write, perform, clean, inform, read and learn data workers wri +e, perform, clean, inform, read and learn data workers write, perform, clean, inform, +read and learn data workers write, perform, clean, inform, read and learn + data workers write, perform, clean, inform, read and learn data wor +ers write, perform, clean, inform, read and learn data workers write, perform, cl +an, inform, read and learn data workers write, perform, clean, inform, read and +earn data workers write, perform, clean, inform, read and learn + data workers write, perform, clean, inform, read and learn dat + workers write, perform, clean, inform, read and learn data workers write, p +rform, clean, inform, read and learn data workers write, perform, clean, in +orm, read and learn data workers write, perform, clean, inform, read and l +arn data workers write, perform, clean, inform, read and learn + data workers write, perform, clean, inform, read and learn + data workers write, perform, clean, inform, read and learn + data workers write, perform, clean, inform, read and learn data work +rs write, perform, clean, inform, read and learn data workers write, +perform, clean, inform, read and learn data workers write, perform, +clean, inform, read and learn data workers write, perform, clean, +nform, read and learn data workers write, perform, clean, inform, +read and learn data workers write, perform, clean, inform, read +nd learn data workers write, perform, clean, inform, read and l +arn data workers write, perform, clean, inform, read and learn + data workers write, perform, clean, inform, read and learn + data workers write, perform, clean, inform, read and learn + data workers write, perform, clean, inform, read and learn + data workers write, perform, clean, inform, read and learn + data workers write, perform, clean, inform, read and learn + data workers write, perform, clean, inform, read and learn + data workers write, perform, clean, inform, read and learn + data workers write, perform, clean, inform, read and l +arn data workers write, perform, clean, inform, read +nd learn data workers write, perform, clean, inform, +read and learn data workers write, perform, clean, +nform, read and learn data workers write, perform, +clean, inform, read and learn data workers write, +perform, clean, inform, read and learn data work +rs write, perform, clean, inform, read and learn + data workers write, perform, clean, inform, read and learn + data workers write, perform, clean, inform, read and learn + data workers write, perform, clean, inform, read and learn + data workers write, perform, clean, inform, read and learn + + + What + can + humans learn from humans + humans learn with machines +machines learn from machines +machines learn with humans + humans learn from machines +machines learn with machines +machines learn from humans + humans learn with humans + ? ? ? + +Data Workers, une exposition au Mundaneum à Mons du 28 mars au 28 avril 2019. +0 12 3 4 5 67 8 9 0 + 12 3 4 5 67 8 9 0 12 + 3 4 5 67 8 9 0 1 2 + 3 4 5 6 7 8 9 0 1 2 3 + 4 56 7 8 9 01 2 3 + 4 56 7 8 9 01 2 3 + 4 56 7 8 9 01 2 3 + 4 56 7 8 9 0 1 2 3 4 + 5 6 7 8 9 0 1 2 3 45 6 + 7 8 90 1 2 3 45 6 + 7 8 90 1 2 3 45 6 + 7 8 90 1 2 3 4 5 6 + 7 8 9 0 1 2 3 4 5 6 + 7 89 0 1 2 34 5 6 + 7 89 0 1 2 34 5 6 + 7 89 0 1 2 34 5 6 7 +89 0 1 2 3 4 5 6 7 8 9 + 0 1 2 3 4 5 6 78 9 + 0 1 23 4 5 6 78 9 0 + 1 23 4 5 6 78 9 0 + 1 23 4 5 6 78 9 0 + 1 2 3 4 5 6 7 8 9 0 + 1 2 3 4 5 67 8 9 0 12 + 3 4 5 67 8 9 0 12 + 3 4 5 67 8 9 0 12 3 + 4 5 6 7 8 9 0 1 2 3 + 4 5 6 7 8 9 01 2 3 + 4 56 7 8 9 01 2 3 + 4 56 7 8 9 01 2 3 + 4 56 7 8 9 01 2 3 4 + 5 6 7 8 9 0 1 2 3 4 5 6 + 7 8 90 1 2 3 45 6 + 7 8 90 1 2 3 45 6 + 7 8 90 1 2 3 45 6 + 7 8 90 1 2 3 4 5 6 7 + 8 9 0 1 2 3 4 5 6 7 + 89 0 1 2 34 5 6 7 +89 0 1 2 34 5 6 7 89 + 0 1 2 34 5 6 7 8 9 + 0 1 2 3 4 5 6 7 8 9 +0 1 23 4 5 6 78 9 0 + 1 23 4 5 6 78 9 0 + 1 23 4 5 6 78 9 0 + 1 23 4 5 6 7 8 9 0 + 1 2 3 4 5 6 7 8 9 0 12 3 + 4 5 67 8 9 0 12 3 + 4 5 67 8 9 0 12 3 + 4 5 67 8 9 0 12 3 + 4 5 6 7 8 9 0 1 2 3 + 4 5 6 7 8 9 01 2 3 4 + 56 7 8 9 01 2 3 4 + 56 7 8 9 01 2 3 4 5 +6 7 8 9 0 1 2 3 4 5 6 + 7 8 9 0 1 2 3 45 6 + 7 8 90 1 2 3 45 6 + 7 8 90 1 2 3 45 6 +7 8 90 1 2 3 45 6 7 + 8 9 0 1 2 3 4 5 6 7 + 8 9 0 1 2 34 5 6 7 89 + 0 1 2 34 5 6 7 89 0 + 1 2 34 5 6 7 89 0 + 1 2 34 5 6 7 8 9 0 + 1 2 3 4 5 6 7 8 9 0 + 1 23 4 5 6 78 9 0 + 1 23 4 5 6 78 9 0 + 1 23 4 5 6 78 9 0 1 + 2 3 4 5 6 7 8 9 0 1 2 3 + 4 5 67 8 9 0 12 3 + 4 5 67 8 9 0 12 3 + 2 +Á PROPOS AU MUNDANEUM + +Data Workers est une exposition d'œuvres algolittéraires,visible À la fin du 19ème siècle, deux jeunes +au Mundaneum à Mons du jeudi 28 mars jusqu'au dimanche 28 avril juristes belges, Paul Otlet (1868-1944), +2019. Elle expose des histoires racontées d'un point de vue 'nar- 'père de la documentation', et Henri La +ratif algorithmique'. L'exposition est une création des membres Fontaine (1854-1943), homme d'État et +d'Algolit, un groupe bruxellois impliqué dans la recherche artis- prix Nobel de la paix, créent le Munda- +tique sur les algorithmes et la littérature. Chaque mois, ils se neum. Le projet vise à rassembler toute +réunissent pour expérimenter avec du code et des textes F/LOSS. la connaissance du monde et à la classer +Certaines oeuvres sont réalisés par des étudiants de Arts² et des à l'aide du système de Classification +participants externes à l'atelier sur le machine learning et le décimale universelle (UDC) qu'ils in- +texte organisé par Algolit en octobre 2018 au Mundaneum. ventent. Au début, il s'agit d'un Bureau + des institutions internationales dédié +Les entreprises créent des intelligences artificielles pour ser- à l'échange international des connais- +vir, divertir, enregistrer et connaître les humains. Le travail sances. Au XXe siècle, le Mundaneum de- +de ces entités machiniques est généralement dissimulé derrière vient un centre universel de documenta- +des interfaces et des brevets. Dans l'exposition, les conteurs tion. Ses collections sont constituées +algorithmiques quittent leur monde souterrain invisible pour de- de milliers de livres, journaux, revues, +venir des interlocuteurs. documents, affiches, plaques de verre et + cartes postales indexés sur des millions +Les 'data workers' opèrent dans des collectifs différents. Chaque de fiches référencées. Les collections +collectif représente une étape dans le processus de conception sont exposées et conservées dans diffé- +d'un modèle d'apprentissage automatique : il y a les Écrivains, rents bâtiments à Bruxelles, dont le Pa- +les Nettoyeurs, les Informateurs, les Lecteurs, les Apprenants et lais du Cinquantenaire. Le reste des ar- +les Oracles. Les robots donnent leurs voix à la littérature expé- chives n'est transféré à Mons qu'en +rimentale, les modèles algorithmiques lisent des données, trans- 1998. +forment des mots en nombres, calculent des modèles et traitent en +boucle de nouveaux textes et ceci à l'infini. Sur base du Mundaneum, les deux hommes + conçoivent une ville du monde pour la- +L'exposition met au premier plan les 'data workers' qui ont un quelle Le Corbusier réalise des ma- +impact sur notre vie quotidienne, mais qui sont difficiles à sai- quettes et des plans. L'objectif de la +sir ou à imaginer. Elle établit un lien entre les récits sur les Ville du Monde est de rassembler, +algorithmes dans les médias grand public et les histoires racon- au niveau mondial, les institutions +tées dans les manuels techniques et les articles universitaires. du travail intellectuel : bibliothèques, +Les robots sont invités à dialoguer avec les visiteurs humains et musées et universités. Mais le projet +vice versa. De cette façon, nous pourrions comprendre nos raison- n’est jamais réalisé, souffrant de sa +nements respectifs, démystifier nos comportements, rencontrer nos propre utopie. Le Mundaneum est le ré- +personnalités multiples et valoriser notre travail collectif. sultat du rêve visionnaire d’une infra- +C'est aussi un hommage aux nombreuses machines que Paul Otlet et structure pour l'échange universel des +Henri La Fontaine ont imaginées pour leur Mundaneum, en montrant connaissances. Il atteint des dimensions +leur potentiel mais aussi leurs limites. mythiques à l'époque. Lorsqu'on observe + les archives qui ont été concrètement +--- développées, cette collection est plutôt + éclectique et spécifique. +Data Workers est une création de Algolit. + Les intelligences artificielles se déve- +Oeuvres de: Cristina Cochior, Gijs de Heij, Sarah Garcin, loppent aujourd'hui en faisant appa- +An Mertens, Javier Lloret, Louise Dekeuleneer, Florian Van de Weyer, raître des rêves d'universalité et de +Laetitia Trozzi, Rémi Forte, Guillaume Slizewicz, Michael Mur- la production des connaissances. En les +taugh, Manetta Berends, Mia Melvær. étudiant, nous nous sommes rendus compte + que les rêves visionnaires de leurs +Une co-production de: Arts², Mundaneum, Constant. créateurs sont bien présents dès leur + développement dans les années 1950. Au- +Avec le soutien de: Fédération Wallonie-Bruxelles, Arts Numéri- jourd'hui, leurs promesses ont également +ques, Passa Porta, Ugent, DHuF - Digital Humanities Flanders et atteint des dimensions mythiques. Lors- +the Distributed Proofreading Project. qu'on observe leurs applications concrè- + tes, la collection d'outils est réelle- +Remerciements: Mike Kestemont, Michel Cleempoel, Donatella Porto- ment innovante et fascinante, mais en +ghese, François Zajéga, Raphaèle Cornille, Vincent Desfromont, même temps, tout aussi éclectique et +Kris Rutten, Anne-Laure Buisson, David Stampfli. spécifique. Pour Data Workers, Algolit + a combiné certaines de ces applications + avec 10 % des publications numérisées du + Bureau des Institutions Internationales. + Ainsi et de façon poétique, nous espé- + rons ouvrir une discussion à propos des + machines, des algorithmes et des infra- + structures technologiques. + + + 3 + RÉCITS CONTEXTUALISÉS + AUTOUR D'ALGOLIT + + + + --- Pourquoi des récits contextualisés? --- naire à la Bible, de l'œuvre entière de Virginia + Woolf à toutes les versions des Conditions d'uti- + Lors des réunions mensuelles d'Algolit, nous étu- lisation publiées par Google depuis son existence. + dions des manuels et expérimentons avec des outils En ce sens, le code de programmation peut aussi + d'apprentissage automatique pour le traitement de être de la littérature. Le collectif Oulipo, acro- + texte. Et nous partageons aussi beaucoup, beaucoup nyme d'Ouvroir de Littérature Potentielle, est une + d'histoires. Avec la publication de ces histoires, grande source d'inspiration pour Algolit. Oulipo a +nous espérons recréer un peu de cette atmosphère. été créé à Paris par les écrivains Raymond Queneau +Les histoires existent également sous forme de et François Le Lionnais. Ils ont ancré leur pra- +podcasts qui peuvent être téléchargés à partir du tique dans l'avant-garde européenne du XXe siècle + site http://www.algolit.net. et dans la tradition expérimentale des années 60. + Pour Oulipo, la création de règles devient la + condition permettant de générer de nouveaux tex- + --- Nous créons des œuvres 'algolittéraires' --- tes, ou ce qu'ils appellent la littérature poten- + tielle. Plus tard, en 1981, ils ont également créé + Le terme 'algolittéraire' vient du nom de notre ALAMO - Atelier de Littérature Assistée par la Ma- + groupe de recherche Algolit. Nous existons depuis thématique et les Ordinateurs. + 2012 en tant qu’initiative de Constant, une orga- + nisation oeuvrant dans les médias et les arts ba- + sée à Bruxelles. Nous sommes des artistes, des --- Une différence importante --- + écrivains, des designers et des programmeurs. Une +fois par mois, nous nous rencontrons pour étudier Alors que l'avant-garde européenne du XXe siècle +et expérimenter ensemble. Notre travail peut être poursuivait l'objectif de rompre avec les conven- +copié, étudié, modifié et redistribué sous la même tions, les membres d'Algolit cherchent à rendre + licence libre. Vous trouverez toutes les informa- les conventions visibles. + tions sur le site http://www.algolit.net. + J'écris : Je vis dans mon journal, je l'investis, + L'objectif principal d'Algolit est d'explorer le je le traverse. (Espèces d'espaces. Journal d'un + point de vue du conteur algorithmique. Quelles usager de l'espace, Galilée, Paris, 1974) + nouvelles formes de narration rendons-nous pos- + sibles en dialoguant avec ces agents machiniques ? Cette citation de Georges Perec dans Espèces d'es- + Les points de vue narratifs sont inhérents aux vi- paces pourrait être reprise par Algolit. Il ne + sions du monde et aux idéologies. Don Quichotte, s'agit pas des conventions de la page blanche et + par exemple, a été écrit d'un point de vue omni- du marché littéraire, comme Georges Perec l'a + scient à la troisième personne, montrant la rela- fait. Nous faisons référence aux conventions qui +tion de Cervantes à la tradition orale. La plupart restent souvent cachées derrière les interfaces et +des romans contemporains utilisent le point de vue les brevets. Comment les technologies sont-elles +de la première personne. Algolit souhaite parler conçues, mises en œuvre et utilisées, tant dans + au travers des algorithmes et vous montrer le rai- les universités que dans les entreprises ? Nous + sonnement de l'un des groupes les plus cachés de proposons des histoires qui révèlent le système + notre planète. hybride complexe qui rend possible l'apprentissage + automatique. Nous parlons des outils, des logiques + Écrire dans ou par le code, c'est créer de nou- et des idéologies derrière les interfaces. Nous + examinons également qui produit les outils, qui + gage humain de façon inattendue. Mais les tech- les met en œuvre et qui crée et accède aux grandes + niques d'apprentissage automatique ne sont acces- quantités de données nécessaires au développement + sibles qu'à ceux qui savent lire, écrire et exécu- de machines de prédiction. On pourrait dire, en un + ter du code. La fiction est un moyen de combler le clin d'œil, que nous sommes les collaborateurs de + fossé entre les histoires qui existent dans les cette nouvelle tribu d'hybrides humain-robot. +articles scientifiques, les manuels techniques, et +les histoires diffusées par les médias, souvent +limitées aux reportages superficiels et à la fa- + brication de mythes. En créant des œuvres algolit- + téraires, nous offrons aux humains une introduc- + tion aux techniques qui co-modèlent leur vie + quotidienne. + + + --- Qu'est-ce que la littérature ? --- + + Algolit comprend la notion de littérature comme + beaucoup d'autres auteurs expérimentaux : elle in- + clut toute la production linguistique, du diction- + + 4 +writers write writers write writers write writers write writers write writers write writ +rs write writers write writers write writers write writers write +writers write writers write writers write writers write +writers write writers write writers write writers write + writers write writers write writers write + writers write writers write writers write + writers write writers write writers write + writers write writers write + writers write writers write writers write + writers write writers write + writers write writers write + writers write writers write + writers write writers write + writers write writers write + writers write writers write + writers write writers write + writers write writers write + writers write writ +rs write writers write + writers write writers write + writers write +writers write writers write + writers write writer + write writers write + writers write writ +rs write writers write + writers write + writers write writers write + writers write + writers write w +iters write writers write + writers write + writers write + writers write writers write + writers write + writers write + writers write + writers write writer + write writers write + writers write + writers write + writers write + writers write + writers write + writers write writ +rs write writers write + writers write + writers write + writers write + writers write + writers write + writers write + writers write + writers write + writers write + writers write + writers write + writers write + writers write + writers write + writers write + writers write + writers write + writers write + writers write + writers write + writers write + writers write + writers write + 5 + o 4n c ,, 5é éno i4 rgt2o i +-+-+-+-+-+-+-+ 7no +-+-+-+-+-+ 5 n 5 7 8 9M e9w 7e c 6 1484 ié 3e5 + 6 e6 re t6n6 7 r r na h |w|r|i|t|e|r|s| io |w|r|i|t|e| 1pee1 er 74 t 71lcc o 53 mmP9 2i3f + 2o'r 7s e 52die 8 3u ro s q 6 4 +-+-+-+-+-+-+-+ s +-+-+-+-+-+ oo1e ps 8e 3usb7 wr s8n l1 f e elu + ii, r9 a t r9 t 13 a q 9s nd 3d e.e-i2t 19 7 l t 1aa m3 m ir l2 4 1 e4 5 d 6e + a 5 81d a e7 r sn n 9 5 s4 5 rt u 1 3 or t irbr e 8Qwo s99pca s n 92 9s le r9 + 7 e8a8 r 85 n i +-+-+-+-+ +-+-+-+-+-+-+-+ t i +-+-+-+-+ r3 t n r pfc3 d 9,e 8oe i fr + 2é s9 i ias6 6 )4 |d|a|t|a| |w|o|r|k|e|r|s| |w|o|r|k| i3a o1 rrn m 7 f l 9 n + 7 L e e J8 o +-+-+-+-+ +-+-+-+-+-+-+-+ 5 +-+-+-+-+ 61 u 5 725f 3 w i 61 - 8 ed + a 4ca td +-+-+-+-+ +-+-+-+-+-+-+-+ é +-+-+-+-+-+ e n w 671 5 iT b de 4 a4 + p 2 7 |m|a|n|y| |a|u|t|h|o|r|s| e |w|r|i|t|e| t 8 e8 é 6 a ml 4 L 2 e7 2 + ' t n a 2 +-+-+-+-+ +-+-+-+-+-+-+-+ e +-+-+-+-+-+ 2 o wr o 1v 2 3ers i o i 9 + 8 e s e2 +-+-+-+-+-+ +-+-+-+-+-+ +-+-+-+-+-+ a1 r 26 6 rn e ii , d œ 6 ' + t o 3 |e|v|e|r|y| |h|u|m|a|n| |b|e|i|n|g| d u 1 o e d v4q 7 t e e + el a e r +-+-+-+-+-+ +-+-+-+-+-+ +-+-+-+-+-+ 54 n a-ra m1i 8 i 5 1 2 s + r 8 +-+-+-+ +-+-+-+ +-+-+-+-+-+-+ +-+-+ 7 e ou l i w l 9 + 2 , e l |w|h|o| |h|a|s| |a|c|c|e|s|s| |t|o| i tu 8 t , 5 s 2 o e +va r +-+-+-+ +-+-+-+ +-+-+-+-+-+-+ +-+-+ n 5' c t C g s + 4 r 4 p +-+-+-+ +-+-+-+-+-+-+-+-+ t +-+-+-+-+-+-+-+-+-+ t 7 e 9o ,4 43 + 6 43 i |t|h|e| |i|n|t|e|r|n|e|t| |i|n|t|e|r|a|c|t|s| r 1 p 7 i + l G +-+-+-+ +-+-+-+-+-+-+-+-+ +-+-+-+-+-+-+-+-+-+ q e e + 8 3 g e e +-+-+ +-+-+-+-+-+ +-+-+-+-+-+-+ s 2 8 t + 1 f a |w|e| |c|h|a|t|,| |w|r|i|t|e|,| + a œ 9 e sx ee r 3 +-+-+ +-+-+-+-+-+ +-+-+-+-+-+-+ s 8e e + 4 e t e 9 +-+-+-+-+-+-+ +-+-+-+-+ +-+-+-+ 6 or 2 + l 3 c 4 r7 |c|l|i|c|k|,| |l|i|k|e| |a|n|d| 6r + 4 6 1 1 t +-+-+-+-+-+-+ +-+-+-+-+ +-+-+-+ e + 9 l e +-+-+-+-+-+ 7 s s d + n r d |s|h|a|r|e| o3 9 + na B e n n +-+-+-+-+-+ u 2 + r9 e 45 1 +-+-+ a +-+-+-+-+-+ +-+-+-+ +-+-+-+-+ + a - t |w|e| |l|e|a|v|e| |o|u|r| |d|a|t|a| 4 O + o 5 m n +-+-+ +-+-+-+-+-+ +-+-+-+ +-+-+-+-+ 7 s a8 + a l 1 +-+-+ t +-+-+-+-+ +-+-+-+-+-+-+-+-+-+ i + 9 7 |w|e| |f|i|n|d| |o|u|r|s|e|l|v|e|s| 5 e + i a r s +-+-+ +-+-+-+-+ +-+-+-+-+-+-+-+-+-+ o l + e 0 i +-+-+-+-+-+-+-+ +-+-+ +-+-+-+-+-+-+ g e n + 1 e |w|r|i|t|i|n|g| |i|n| |P|y|t|h|o|n| + e +-+-+-+-+-+-+-+ +-+-+ +-+-+-+-+-+-+ 6 + d +-+-+-+-+ +-+-+-+-+-+-+ s 4 1 e a + w |s|o|m|e| |n|e|u|r|a|l| 6 9 , + s o 3 +-+-+-+-+ +-+-+-+-+-+-+ r d + , u +-+-+-+-+-+-+-+-+ i +-+-+-+-+-+ r s + |n|e|t|w|o|r|k|s| c |w|r|i|t|e| r s + 3 +-+-+-+-+-+-+-+-+ +-+-+-+-+-+ c + a +-+-+-+-+-+ +-+-+-+-+-+-+-+ +-+-+-+-+-+-+ r + |h|u|m|a|n| |e|d|i|t|o|r|s| |a|s|s|i|s|t| 7 2 4 7 + r +-+-+-+-+-+ +-+-+-+-+-+-+-+ +-+-+-+-+-+-+ t + i +-+-+-+-+-+-+ +-+-+-+-+-+-+-+-+-+-+-+ v l t 2 e + |p|o|e|t|s|,| |p|l|a|y|w|r|i|g|h|t|s| r e + +-+-+-+-+-+-+ +-+-+-+-+-+-+-+-+-+-+-+ + +-+-+ +-+-+-+-+-+-+-+-+-+ +-+-+-+-+-+-+ 4n N 8 + a 9 5 |o|r| |n|o|v|e|l|i|s|t|s| |a|s|s|i|s|t| 5 4 + +-+-+ +-+-+-+-+-+-+-+-+-+ +-+-+-+-+-+-+ w 7 i + r i n + 2 + 4 s 3 + l 4 + r + l 8 + a o + , 4 5 + i 6 r + n 7 + 5 + s s + r + e + l a r + + 6 + V V V V V V V V % % %% % % % %%% % %%% % + V V V V V V V V V V V V V V V V % % 0 % % % % +V % V V V V V % V V V % % 00 0 % % 0 % % % % + % % % % % % % % 0 __ 0 0 _ % _ _ %% % % + % % % 0 / / __ _ _ __ _ _| |__ | (_) ___ __ _ % + ÉCRIVAINS % / / / _` | | '_ \| | | | '_ \| | |/ __/ _` | ____ %% + % % % / /__| (_| | | |_) | |_| | |_) | | | (_| (_| | /___/% + % 0 \____/\__,_| | .__/ \__,_|_.__/|_|_|\___\__,_| + V V V V V V V V % _ _|_| % _ 0 0 % % +V V V V V V V V V 0 | |_(_) ___ _ __ % __| | ___ %% + V % V V V V V V V | __| |/ _ \| '_ \ / _` |/ _ \ % % %% + V V V V V V V V V V V V V V V V | |_| | (_) | | | | | (_| | __/ % +V V % V V V V V V V \__|_|\___/|_| |_| \__,_|\___| 0 % + % % ___ _ % 0 +Les Data Workers ont besoin de don- 0 0 0 / \__ _| |_ __ _ +nées pour travailler. Dans le / /\ / _` | __/ _` | +contexte d'Algolit, celles-ci % 0 % / /_// (_| | || (_| | 0 +prennent la forme du langage écrit. 0 /___,' \__,_|\__\__,_| +L'apprentissage automatique repose __ __ _ % 0 % +sur de nombreux types d'écriture. 0 0 / / /\ \ \___ _ __| | _____ _ __ ___ 0 +Les auteurs humains écrivent sous \ \/ \/ / _ \| '__| |/ / _ \ '__/ __| +forme de publications. Celles-ci \ /\ / (_) | | | < __/ | \__ \ 0 +sont organisées en archives et en 0 \/ \/ \___/|_| |_|\_\___|_| |___/ +cours de numérisation. Mais il 0 0 0 0 0 +existe d'autres types d'écriture. +On pourrait dire que chaque être Toutes les œuvres visibles dans l'exposition, ainsi que les histoires +humain avec un accès à Internet de- contextuelles et quelques textes supplémentaires ont été rassemblés +vient un écrivain lorsqu'il inter- dans cette publication. Elle existe en français et en anglais. +agit avec des algorithmes. En ajou- % +tant des commentaires, en écrivant % Cette publication est réalisée en suivant un flux de travail en +des mails ou des articles Wikipé- texte brut, basé sur divers outils de traitement de texte et de +dia, en cliquant et en aimant. calcul. Le format de fichier 'texte brut' est le format le plus + utilisé dans les modèles d'apprentissage automatique. C'est un +Les algorithmes d'apprentissage au- type de document dans lequel il n'existe pas de différence struc- +tomatique ne sont pas critiques : turelle entre les en-têtes et les paragraphes. Ce format a été le +ils prennent tout ce qu'on leur point de départ d'un processus de conception graphique ludique, +donne, peu importe le style d'écri- dans lequel les pages sont soigneusement comptées, page par page, +ture, le CV de l'auteur ou ses ligne par ligne et caractère par caractère. +fautes d'orthographe. D’ailleurs, +plus il y a d’erreurs, mieux Chaque page contient 110 caractères par ligne et 70 lignes par page. +c’est : la variété leur apprend à La mise-en-page est donc le résultat d'un acte de calcul de mots, +anticiper les textes inattendus. d'espaces et de lignes. Il joue avec des choix aléatoires, des motifs +Les auteurs humains quant à eux ne programmés et des polices ASCII/UNICODE, afin de spéculer sur la +sont souvent pas conscients de ce matérialité du texte numérique et d'explorer les interrelations +qui advient de leur travail. entre l'acte de compter et d'écrire avec des mots et des numéros. + +La plupart des textes que nous uti- Textes: Cristina Cochior, Sarah Garcin, Gijs de Heij, An Mertens, +lisons sont en anglais, certains en François Zajéga, Louise Dekeuleneer, Florian Van de Weyer, +français, d'autres en néerlandais. Laetitia Trozzi, Rémi Forte, Guillaume Slizewicz. +Souvent, nous nous retrouvons à % +écrire en Python, le langage de Traductions & relectures: deepl.com, Michel Cleempoel, +programmation que nous utilisons. Elodie Mugrefya, Patrick Lennon, Emma Kraak. % +Les algorithmes peuvent aussi être +des écrivains. Certains réseaux de Mise-en-page & couverture: Manetta Berends +neurones écrivent leurs propres https://git.vvvvvvaria.org/mb/data-workers-publication +règles et génèrent leurs propres +textes. Et pour les modèles qui Police: GNU Unifont, OGRE +luttent encore contre les ambiguï- Imprimante: PrinterPro, Rotterdam +tés du langage naturel, il existe Papier: Glossy MC 90gr +des éditeurs humains pour les ai- +der. Poètes, dramaturges ou roman- Editeur responsable: Constant vzw/asbl +ciers commencent leur nouvelle car- Rue du Fortstraat 5, 1060, Bruxelles +rière comme assistants de l'IA. + Licence: Algolit, Data Workers, mars 2019, Bruxelles. % + Copyleft: cette oeuvre est libre, vous pouvez la redistribuer + et/ou la modifier selon les termes de la Licence Art Libre. + + Version en ligne: http://www.algolit.net/index.php/Data_Workers_FR + Sources: https://gitlab.constantvzw.org/algolit/mundaneum + 7 + % % % % % % %% % % % %% + % % % % % %% % % % % %% % % % % % %% % + % % % % 0 % % 00 0 % % % + %% % % %% % % 0 0 % 0 0 % % % % % + % __ % 0 0 %% 0 % _ % 0 _ + / / ___ _ __ ___ __| | ___ __ _ ___| |_ % + % % / / / _ \ | '_ \ / _ \ / _` |/ __/ _` / __| __| + % % % % 0 / /__| __/ | |_) | (_) | (_| | (_| (_| \__ \ |_ + % % % % % \____/\___| | .__/ \___/ \__,_|\___\__,_|___/\__| % % + % % 0 00 % |_| 0 000 0 % 0 0 + % % 0 _ % ___ _ 0 0 + % 0 __| | ___ / \__ _| |_ __ _ + % %% % % / _` |/ _ \ / /\ / _` | __/ _` | % + | (_| | __/ / /_// (_| | || (_| | 0 % + % % 0 \__,_|\___| /___,' \__,_|\__\__,_| 0 + + % __ __ _ 0 0 % + / / /\ \ \___ _ __| | _____ _ __ ___ + % 0 \ \/ \/ / _ \| '__| |/ / _ \ '__/ __| % 0 + 0 \ /\ / (_) | | | < __/ | \__ \ 0 + % \/ \/ \___/|_| |_|\_\___|_| |___/ + 0 0 0 0 0 + % % + Par Algolit + + Lors des réunions mensuelles d'Algolit, nous étudions des manuels + % et expérimentons avec des outils d'apprentissage automatique pour + le traitement de texte. Mais nous partageons aussi énormément + d'histoires. Avec ce podcast, nous espérons recréer cette atmo- + sphère. % + %% + Pour les non-initiés, les algorithmes ne deviennent visibles dans + % les médias que lorsqu'ils se révèlent capables d'une performance + exceptionnelle, comme l'Alpha Go, ou quand ils se trompent d'une + façon terrifiante et fantastique. Mais les humains qui tra- + vaillent sur le terrain créent leur propre culture en ligne et + % hors ligne. Ils partagent leurs meilleures histoires et expé- + riences lors de réunions en direct, de conférences de recherche + % ou de compétitions annuelles comme celle du Kaggle. Ces histoires + qui contextualisent les outils et les pratiques peuvent être drô- + les, tristes, choquantes et intéressantes. + % + Ce sont souvent des histoires d'apprentissage par l’expérience. + La mise en œuvre des algorithmes dans la société génère de nou- + velles conditions de travail, de stockage, d'échange, de compor- + tement et de copier-coller. À leur manière, ces histoires contex- + tuelles saisissent l’élan d’une histoire anthropo-machinique plus + large, écrite par de nombreuses voix et à pleine vitesse. Elles + sont aussi reprises dans la publication de l'exposition. + + --- % + % % + Voix: Elodie Mugrefya, Michel Cleempoel, Géraldine Renauld, + An Mertens, Donatella Portoghese, Peter Westenberg. + + Composition: Javier Lloret % + + Enregistrements: David Stampfli + % + Textes: Cristina Cochior, An Mertens + + % + + + + + + + + 8 + 0 0 0 00 0 0 00 + 00 0 00 0 + 0 0 _ _ 0 _ + % /\/\ __ _ _ __| | _| |__ ___ | |_ 0 + / \ / _` | '__| |/ / '_ \ / _ \| __| 0 + / /\/\ \ (_| | | | <| |_) | (_) | |_ + \/ \/\__,_|_| |_|\_\_.__/ \___/ \__| + 0 0 ___ _ _ 0 0 + % % % %% %%% % 0 0 % % / __\ |__ __ _(_)_ __ % %%% + % % % % % %% % %%% / / | '_ \ / _` | | '_ \ % % % + % %% %% % % % % % % / /___| | | | (_| | | | | | 0 0 % + % % % % % %% \____/|_| |_|\__,_|_|_| |_| 0 % % % + % % 0 % 000 % % % + % % % % %% % % % % %% + % Par Florian Van de Weyer, étudiant Arts²/Section Arts Numériques % + % % + % % % Markbot Chain est une expérimentation sociale dans laquelle le + public a une influence directe sur le résultat. L'intention est + % de l'intégrer au cœur d'un processus de génération de texte sans + % % % appliquer de filtre sur ses entrées. Le bot fonctionnera durant + toute la durée de l'exposition sans être remis à zéro. + % % % % + % Toutes les questions présentes dans la base de données mise à % + % disposition par le Mundaneum ont été répertoriées automatique- + % ment. Ces questions sont ensuite posées aléatoirement au public + via un terminal. En y répondant, les personnes alimentent une + autre base de données. Après chaque entrée, cette dernière permet + de générer une série de phrases en utilisant diverses configura- + tions des chaînes de Markov, un algorithme qui est fort utilisé + dans la génération de spam. Les phrases ainsi générées sont affi- + chées dans la fenêtre, et une nouvelle question est posée. + % % % % % + % + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 9 + RÉCITS CONTEXTUALISÉS + AUTOUR DES ECRIVAINS + + + + --- Les programmeurs créent Les lignes directrices suivantes sont copiées du + les data workers en écrivant --- site Web de Microsoft. Elles décrivent comment le + style de Cortana doit être respecté par les entre- + Récemment, nous avons constaté une étrange obser- prises qui élargissent ses services. Les tra- + vation : la plupart des programmeurs de langages vailleurs écrivains, programmeurs et romanciers + et de paquets que nous utilisons sont européens. qui développent les réponses de Cortana, doivent + suivre ces directives. Sa personnalité et son +Python, par exemple, le principal langage utilisé image de marque sont en jeu. Car la cohérence est +dans le monde entier pour le traitement du langa- un outil important pour solliciter la confiance de +ge, a été inventé en 1991 par le programmeur néer- l’humain. + landais Guido Van Rossum. Celui-ci a ensuite tra- + versé l'Atlantique où il a rejoint Google pendant Quelle est la personnalité de Cortana ? + sept ans. Maintenant il est actif chez Dropbox. + 'Cortana est attentionnée, sensible et solidaire. + Scikit Learn, le couteau suisse open source des + outils d'apprentissage automatique, a été initié Elle est sympathique mais orientée vers des + comme un projet Google Summer of Code à Paris par solutions. + le chercheur français David Cournapeau. Par la + suite, il a été repris par Matthieu Brucher dans Elle ne commente pas les informations personnelles + le cadre de sa thèse à l'Université de la Sorbonne ou le comportement de l'utilisateur, en particu- + à Paris. Puis il a été adopté en 2010 par l'INRA, lier si ces informations sont sensibles. +l'Institut National de l'Informatique et des Ma- +thématiques Appliquées. Elle ne fait pas de suppositions sur ce que l'uti- + lisateur veut, surtout elle n'incite pas à l'achat. + Keras, une bibliothèque de réseaux de neurones + open source écrite en Python, est développée par Elle travaille pour l'utilisateur. Elle ne repré- + François Chollet, un chercheur français qui tra- sente aucune entreprise, service ou produit. + vaille dans l'équipe Brain de Google. + Elle ne s'attribue pas le mérite ou la responsabi- + Gensim, une bibliothèque open source pour Python lité des choses qu'elle n'a pas faites. + utilisée pour créer des modèles sémantiques non + supervisés à partir de texte brut, a été écrite Elle dit la vérité sur ses capacités + par Radim Řehůřek. C'est un informaticien tchèque et ses limites. + qui dirige une entreprise de conseil à Bristol, au + Royaume-Uni. Elle ne présume rien de vos capacités physiques, + de votre sexe, de votre âge ou de toute autre +Et pour finir cette petite série, nous avons aussi caractéristique déterminante. +considéré Pattern, une bibliothèque souvent utili- + sée pour le web-mining et l'apprentissage automa- Elle ne suppose pas savoir ce que l'utilisateur + tique. Pattern a été développé et publié sous une ressent à propos de quelque chose. + license libre en 2012 par Tom De Smedt et Walter + Daelemans. Tous deux sont chercheurs au CLIPS, le Elle est amicale mais professionnelle. + Centre de Linguistique Informatique et de Psycho- + linguistique de l'Université d'Anvers. Elle se garde d'émoticons dans les tâches. + Un point c’est tout. + + --- Cortana parle --- Elle n'utilise pas d'argot culturel + ou professionnel spécifique. + Les dispositifs d’intelligence artificielle qui +nous assistent, ont souvent besoin de leurs Ce n'est pas un bot de support.' +propres assistants, humains. Les travailleurs in- +jectent de l'humour et de l'intelligence dans le Les humains interviennent en détail lors de la + langage des machines. Cortana est un exemple de ce programmation des réponses que Cortana donne. + type d'écriture mixte. Elle est l'assistante numé- Comment Cortana doit-elle réagir lorsqu'on lui + rique développée par Microsoft. Sa mission est propose des actions 'inappropriées' ? Son jeu + d'aider les utilisateurs à être plus productifs et d'actrice sexuée imité par la technologie soulève + créatifs. La 'personnalité' de Cortana a été fa- des questions à propos des relations de pouvoir + çonnée au fil des ans. Il est important qu'elle dans le monde actuel. + conserve son caractère dans toutes ses interac- + tions avec les utilisateurs. Elle est conçue pour Voyez la réponse que Cortana donne à la question : + nous rendre confiants. Cela se reflète dans ses - Cortana, qui est ton papa ? + réponses. - Techniquement parlant, c'est Bill Gates. + Rien de grave. + + 10 + + + + + + --- Apprentissage Open Source --- comme le français - aux langues construites comme + le langage de programmation ou l'espéranto, for- + Les licences de droits d'auteur cloisonnent une mées intentionnellement par l’entremise de l’homme + grande partie des pratiques d'écriture, de lecture pour répondre à un besoin précis.' Une langue of- + et d'apprentissage machiniques. Cela signifie ficielle avec une académie régulatrice, telle que + qu'ils ne sont disponibles que pour les humains le français standard avec l'Académie française, + travaillant dans cette entreprise spécifique. est classée comme langue naturelle. Ses points + Certaines entreprises participent à des conférences normatifs ne le rendent pas assez construit pour +dans le monde entier et partagent leurs connais- être classé comme un langage construit ou assez +sances dans des articles en ligne. Même si elles contrôlé pour être classé comme un langage naturel +partagent leur code, souvent elles ne mettent pas contrôlé. + à disposition les grandes quantités de données né- + cessaires à la formation des modèles. Ainsi, le 'langage naturel' est un terme de sub- + stitution qui se réfère à toutes les langues, au- + Nous avons pu apprendre l'apprentissage automati- delà de leur hybridité. Le 'traitement du langage + que, à lire et à écrire dans le contexte d'Algolit naturel', est au contraire une pratique + grâce à des chercheurs universitaires qui par- construite. Ce qui nous intéresse, c'est la créa- + tagent leurs résultats par le biais d’articles ou tion d'un langage construit pour classer les lan- + par la publication de leur code en ligne. En tant gages naturels qui, par leur évolution, présentent + qu'artistes, nous pensons qu'il est important des problèmes de catégorisation. + d'adopter cette attitude. C'est pourquoi nous do- + cumentons nos réunions. Nous partageons autant que Références : +possible les outils que nous créons et les textes +que nous utilisons sur notre dépôt de code en https://hiphilangsci.net/2013/05/01/on-the-histo- +ligne et ceci, sous licence libre. ry-of-the-question-of-whether-natural-language-is- + illogical/ + Nous éprouvons une grande joie quand nos travaux + sont repris par d'autres, modifiés, personnalisés Livre : Neural Network Methods for Natural Lan- + et redistribués. N'hésitez donc pas à copier et à guage Processing, Yoav Goldberg, Bar Ilan Univer- + tester le code sur notre site web. Si les sources sity, avril 2017. + d'un projet particulier n’y sont pas, vous pouvez + toujours nous contacter via la liste de diffusion. + Vous trouverez un lien vers notre dépot git, nos + etherpads et notre wiki sur http://www.algolit.net. + + +--- Langage naturel pour + l'intelligence artificielle --- + + Le traitement du langage naturel (NLP) est un + terme collectif qui désigne le traitement informa- + tique automatique des langues humaines. Cela com- + prend les algorithmes utilisant, comme entrée, du + texte produit par l'homme et qui tentent de le re- + produire. Les humains semblent compter de plus en + plus sur ce type de présence algorithmique. Nous + produisons de plus en plus de textes chaque année + et nous nous attendons à ce que les interfaces in- + formatiques communiquent avec nous dans notre +propre langue. Le traitement du langage naturel +est très difficile, car le langage humain est par +nature ambigu, en constante évolution et mal défini. + + Mais qu'entend-on par 'naturel' dans le traitement + du langage naturel ? Certains humains diront que + la langue est une technologie en soi. Selon Wiki- + pédia, 'Une langue dite « naturelle » est une + langue qui s'est formée petit à petit, évoluant + avec le temps, et fait partie du langage naturel. + Son origine est bien souvent floue et peut être + retracée plus ou moins clairement par la linguis- +tique comparée. On oppose les langues naturelles - + + + 11 +0 12 3 4 5 67 8 9 0 + 12 3 4 5 67 8 9 0 12 + 3 4 5 67 8 9 0 1 2 + 3 4 5 6 7 8 9 0 1 2 3 + 4 56 7 8 9 01 2 3 + 4 56 7 8 9 01 2 3 + 4 56 7 8 9 01 2 3 + 4 56 7 8 9 0 1 2 3 4 + 5 6 7 8 9 0 1 2 3 45 6 + 7 8 90 1 2 3 45 6 + 7 8 90 1 2 3 45 6 + 7 8 90 1 2 3 4 5 6 + 7 8 9 0 1 2 3 4 5 6 + 7 89 0 1 2 34 5 6 + 7 89 0 1 2 34 5 6 + 7 89 0 1 2 34 5 6 7 +89 0 1 2 3 4 5 6 7 8 9 + 0 1 2 3 4 5 6 78 9 + 0 1 23 4 5 6 78 9 0 + 1 23 4 5 6 78 9 0 + 1 23 4 5 6 78 9 0 + 1 2 3 4 5 6 7 8 9 0 + 1 2 3 4 5 67 8 9 0 12 + 3 4 5 67 8 9 0 12 + 3 4 5 67 8 9 0 12 3 + 4 5 6 7 8 9 0 1 2 3 + 4 5 6 7 8 9 01 2 3 + 4 56 7 8 9 01 2 3 + 4 56 7 8 9 01 2 3 + 4 56 7 8 9 01 2 3 4 + 5 6 7 8 9 0 1 2 3 4 5 6 + 7 8 90 1 2 3 45 6 + 7 8 90 1 2 3 45 6 + 7 8 90 1 2 3 45 6 + 7 8 90 1 2 3 4 5 6 7 + 8 9 0 1 2 3 4 5 6 7 + 89 0 1 2 34 5 6 7 +89 0 1 2 34 5 6 7 89 + 0 1 2 34 5 6 7 8 9 + 0 1 2 3 4 5 6 7 8 9 +0 1 23 4 5 6 78 9 0 + 1 23 4 5 6 78 9 0 + 1 23 4 5 6 78 9 0 + 1 23 4 5 6 7 8 9 0 + 1 2 3 4 5 6 7 8 9 0 12 3 + 4 5 67 8 9 0 12 3 + 4 5 67 8 9 0 12 3 + 4 5 67 8 9 0 12 3 + 4 5 6 7 8 9 0 1 2 3 + 4 5 6 7 8 9 01 2 3 4 + 56 7 8 9 01 2 3 4 + 56 7 8 9 01 2 3 4 5 +6 7 8 9 0 1 2 3 4 5 6 + 7 8 9 0 1 2 3 45 6 + 7 8 90 1 2 3 45 6 + 7 8 90 1 2 3 45 6 +7 8 90 1 2 3 45 6 7 + 8 9 0 1 2 3 4 5 6 7 + 8 9 0 1 2 34 5 6 7 89 + 0 1 2 34 5 6 7 89 0 + 1 2 34 5 6 7 89 0 + 1 2 34 5 6 7 8 9 0 + 1 2 3 4 5 6 7 8 9 0 + 1 23 4 5 6 78 9 0 + 1 23 4 5 6 78 9 0 + 1 23 4 5 6 78 9 0 1 + 2 3 4 5 6 7 8 9 0 1 2 3 + 4 5 67 8 9 0 12 3 + 4 5 67 8 9 0 12 3 + 12 +oracles predict oracles predict oracles predict oracles predict oracles predict oracles predic + oracles predict oracles predict oracles predict oracles predict orac +es predict oracles predict oracles predict oracles predict +racles predict oracles predict oracles predict oracles predic + oracles predict oracles predict oracles predict + oracles predict oracles predict oracles predict + oracles predict oracles predict or +cles predict oracles predict oracles predict + oracles predict oracles predict + oracles predict oracles predict oracles pr +dict oracles predict oracles predict + oracles predict oracles predict + oracles predict oracles predict + oracles predict oracles predict + oracles predict oracles predict + oracles predict orac +es predict oracles predict + oracles predict oracles predict + oracles predict oracles predic + oracles predict + oracles predict oracles predict + oracles predict +oracles predict oracles predict + oracles predict +racles predict oracles predict + oracles predict + oracles predict oracles predict + oracles predict + oracles predict orac +es predict oracles predict + oracles predict + oracles predict +racles predict oracles predict + oracles predict + oracles predict + oracles predict +racles predict oracles predict + oracles predict + oracles predict + oracles predict + oracles predict + oracles predict or +cles predict oracles predic + oracles predict + oracles predict + oracles predict + oracles predict + oracles predict + oracles predict + oracles predict + oracles predict + oracles predict + oracles predict + oracles predict + oracles predict + oracles predict + oracles predict + oracles predict + oracles predict + oracles predict + oracles predict + oracles predict + oracles predict + oracles predict + oracles predict + oracles predict + oracles predict + oracles predict + oracles predict + 13 + a9p3 7 -839 6 4a o 4% 3 3r +-+-+-+-+-+-+-+ z3 +-+-+-+-+-+-+-+ nt %u l c ew a5 g |i ras 21 7 + 1 , 1 n ev 6 0 e _s 4 77e |o|r|a|c|l|e|s| 6 _n |p|r|e|d|i|c|t| tla 7486 r 5lvt7 + 2 r + Cu i li t8er 1 n s i 8 1 2 +-+-+-+-+-+-+-+ pt +-+-+-+-+-+-+-+ se dp u4e r r p r5 9 t55 3m +é518 1 8p 2 e na13 , ah é1 n ) urg p4 ao5 t42 n.9 rn tt m e 3 8 9 16e9ma 5te -9 t +3 i 2a m2 l294e 9a 7 q2 7|5 5 e d + 9r i P ep 7 pl 6 4 79s Ge u p rs C 6s3 1a e9 + 8e i+ u ll +-+-+-+-+-+-+-+ +-+-+-+-+-+-+-+-+ l l +-+-+-+-+-+-+-+-+ +-+-+-+ s i 6sihfr nzlWnk + t 62 e n |m|a|c|h|i|n|e| |l|e|a|r|n|i|n|g| d |a|n|a|l|y|s|e|s| |a|n|d| oon 9 7c r4 téed elrid + \ l i 5d 2s +-+-+-+-+-+-+-+ +-+-+-+-+-+-+-+-+ lc +-+-+-+-+-+-+-+-+ +-+-+-+ xr e fer 8t 1 nse 5t s 3 + , i6u4reet %o 9 t -9e 3 é a a +-+-+-+-+-+-+-+-+ - e 6o i 9 6 d 7l2 8nu e + w8 e s d t7 t i k3h cm f o ip w |p|r|e|d|i|c|t|s| s 3 a-6 e 8e t ru M9p 6 + s4 1 4s o 1 p1i s5i 9n u ,| 6 9o +-+-+-+-+-+-+-+-+ u 7 9 r txb a o Ed o eu n + 9 oo | t 9 1V -88 lo, +-+-+-+-+-+-+ e7 +-+-+-+-+ +-+-+-+-+-+-+-+ c 9la r% t é r + 6 2 d te | + s o- |m|o|d|e|l|s| l h |h|a|v|e| |l|e|a|r|n|e|d| t8n 6o 4 t, r 6- + ee o l àtt +-+-+-+-+-+-+ +-+-+-+-+ +-+-+-+-+-+-+-+ f e r ur i e lg + e i t t e l 17o + o 9 +-+-+-+-+-+-+ _ +-+-+-+ +-+-+-+-+ S+ ceart i 0 g 6i t + 4 1l . - ôpt d n |m|o|d|e|l|s| e |a|r|e| |u|s|e|d| 9g 9 9 -l a r 8 6 + s9c w 9 r 9 5 % w +-+-+-+-+-+-+ t +-+-+-+ +-+-+-+-+ '4s , o 5 _7 2ee e + 2 u d5 5 au c e i +-+-+-+-+ +-+-+-+-+-+-+-+-+-+ pr 7 4 a + 4 5 r r 1i w 4 é w |t|h|e|y| l |i|n|f|l|u|e|n|c|e| 1 f 3 e4 nf 565 v + 7t i s94 s 4 1 a 7 / r +-+-+-+-+ , +-+-+-+-+-+-+-+-+-+ ou d 3 _ t m ms ane + a 4 t 9 , e u +-+-+-+-+ +-+-+-+-+ +-+-+-+-+-+ +-+-+-+ u _a c 1 29r 8e 128 + 6 a 9 5 g 2 t |t|h|e|y| |h|a|v|e| |t|h|e|i|r| |s|a|y| 6 2 a + 9 ia e n 4 r 58 +-+-+-+-+ t +-+-+-+-+ +-+-+-+-+-+ +-+-+-+ 5 b f e q + e64re o +-+-+-+-+-+-+-+-+-+-+-+ ni s se r a r l n r + 74 r |i|n|f|o|r|m|a|t|i|o|n| r 6 6 i l bdn p w _ + 7 Na 48 e- +-+-+-+-+-+-+-+-+-+-+-+ | r 8 t 2 | e o e + e a 2 et s3 +-+-+-+-+-+-+-+-+-+-+ o +-+-+-+-+-+-+-+-+-+-+ s o 8 3 8 , + s s t |e|x|t|r|a|c|t|i|o|n| e2 |r|e|c|o|g|n|i|z|e|s| 8 a 2 4 + t m 5c +-+-+-+-+-+-+-+-+-+-+ +-+-+-+-+-+-+-+-+-+-+ t r s t ee +c r 4 7 e 3 +-+-+-+-+ 8 1 e t s r ai + d 8 . 8u n |t|e|x|t| 2 a6 U r v 4 4 + i9 o a o 6 +-+-+-+-+ 94 l a r x + l +-+-+-+-+-+-+-+-+-+-+-+-+-+-+ +-+-+-+-+-+-+-+ 2f 6 r mn a + t t c |c|l|a|s|s|i|f|i|c|a|t|i|o|n| d |d|e|t|e|c|t|s| n t / + 5 e +-+-+-+-+-+-+-+-+-+-+-+-+-+-+ l +-+-+-+-+-+-+-+ o 6 i o - + 8 p n 6 2 4 3 s os + 3 3, e 4o 5 + 6 8 l f 2 e 28S l + t 1 5 wo 9 9 s e + 6 + p - D c + 4 a i 7 u r s 9 7 n + + + r l - % a d n p ln + e 4 i r r + 4 o 8 e e e + 8 l | s r 8 + + m 3 o M 6 i 7 a + u s + 4 | F p c 5 . 3e i c + a e v rl n d9 9 6 - r + w j e + i 7 u e 3 + 9 2 a 4 6 é s p + d e t l b 9 4 5 + 8 r| r a ' o + t n 9 r d n n + 8 e s 3 3 7 1e s r + e e r s 5 + . e I e e 4 + k | e + 8 i 3 + M 8 a t 1 O s t v + u 9 I 1 r + 5 3 n e o n + 4 r 1 + e rr t 9 Lf + 8 , 6 3 +| 3 c 5 + + n 6 + b 8 + d u 1 + 7 9 v + m a e + + 14 + V % V V % V V V V V % % % % % % % % % % % % % % % % + V V V V V V V V V V V V V V V V % 0 %% % % % 0 % % 0 % % % +V V V V V V V V % V % % 0 % % %% 00 0 0 % % + % 00 % % ___ _ _ 0 _ _ _ _ 0 + % % % % % % / ( ) /_\ | | __ _ ___ | (_) |_| |_ ___ + % ORACLES % 0 00 / /|/ //_\\| |/ _` |/ _ \| | | __| __/ _ \ ____ % + % % / /___/ _ \ | (_| | (_) | | | |_| || __/ /___/ % + % \____/\_/ \_/_|\__, |\___/|_|_|\__|\__\___| 0 + V V V V V V % V V 0 % |___/ 0 0 % + V V V V V V V V V V V V V V V V %% % _ 00 0 % 0 +V V V V V V % V V V 0 _ __ __ _| |_ ___ _ _ _ __ 0 % % + V V V V V % V V V | '__/ _` | __/ _ \ | | | '__| 0 + V V V V V V V V V V V V V V V V 0 % | | | (_| | || __/ |_| | | % +V V V V V V V V V |_| \__,_|\__\___|\__,_|_| 0 + % 00 0 0 0 +L'apprentissage automatique est % % +principalement utilisé pour analy- par Algolit +ser et prédire des situations à +partir de cas existants. Dans cette L'Algolittérateur est construit à l'aide d'un réseau de neurone +exposition, nous nous concentrons et des œuvres mises à disposition par le Mundaneum. L'Algolitté- +sur les modèles d'apprentissage au- rateur vous aide à écrire un texte dans le style du Bureau des +tomatique pour le traitement de Institutions Internationales. +texte ou le traitement du ‘langage % +naturel', ‘nlp’ en bref. Ces mo- Vous pouvez choisir une phrase de départ dans l’œuvre originale +dèles ont appris à effectuer une et indiquer si l'Algolittérateur produit les phrases suivantes % +tâche spécifique sur base de textes basées sur un apprentissage primitif, intermédiaire ou final. +existants. Les modèles sont utili- % La machine propose un paragraphe que vous pouvez éditer. Si vous +sés par les moteurs de recherche, êtes satisfait du résultat, vous pouvez l'envoyer à l’imprimante +les traductions automatiques et les et ramener le texte chez vous comme souvenir. +résumés, en repérant les tendances +des réseaux de nouveaux médias et --- +des fils d’actualité. Ils in- +fluencent ce que l'on voit en tant Concept, code & interface : Gijs de Heij & An Mertens +qu'utilisateur, mais ont aussi leur +mot à dire dans le cours des Technique : Recurrent Neural Network +bourses mondiales ou dans la détec- +tion de la cybercriminalité et du Modèle original : Andrej Karphaty, Justin Johnson % +vandalisme. + Sources : https://gitlab.constantvzw.org/algolit/algoliterator.clone +Deux tâches principales se pré- +sentent dans la compréhension d’une +langue. L'extraction de l'informa- +tion porte sur les concepts et les 00 0 0 0 +relations entre les concepts. Elle 0 0 +permet de reconnaître les sujets, 00 0 0 _ _ 0 +les lieux et les personnes d’un 0 0 /\/\ ___ | |_ ___ __| | __ _ _ __ ___ +texte, de faire un résumé, de poser 0 / \ / _ \| __/ __| / _` |/ _` | '_ \/ __| +des questions et d'y répondre. 0 / /\/\ \ (_) | |_\__ \ | (_| | (_| | | | \__ \ +L'autre tâche est la classification \/ \/\___/ \__|___/ \__,_|\__,_|_| |_|___/ +du texte. Vous pouvez entraîner un _ _ __ 0 0 +oracle pour détecter si un mail est 0 | ( )__\__ _ __ __ _ ___ ___ 0 +du spam ou non, écrit par un homme | |/_\/ __| '_ \ / _` |/ __/ _ \ +ou une femme, plutôt positif ou né- | //__\__ \ |_) | (_| | (_| __/ 00 +gatif. 0 |_\__/|___/ .__/ \__,_|\___\___| + 0 |_| 0 0 00 +Dans cette zone, vous pouvez voir 0 0 0 0 +certains de ces modèles à l'œuvre. +Au cours de votre voyage dans l'ex- Par Algolit +position, vous découvrirez les dif- +férentes étapes qu'une machine-hu- 'Word embeddings' désignent des techniques de modélisation du +maine doit franchir pour arriver à langage qui, par de multiples opérations mathématiques, tracent +un modèle final. des mots dans un espace vectoriel multidimensionnel. Lorsque les + mots sont 'embedded' ou intégrés, ils se transforment de symboles + distincts en objets mathématiques, qui peuvent être multipliés, + divisés, ajoutés ou soustraits. + % + En distribuant les mots le long des nombreuses lignes diagonales + de l'espace vectoriel multidimensionnel, leurs nouveaux place- + + 15 + ments géométriques deviennent impossibles à percevoir par les hu- + % % mains. Cependant, ce que l'on gagne, ce sont des façons multiples % + % % % % % %% et simultanées d'organisation des mots. Les opérations algé- + % %% % % % briques rendent les relations entre les vecteurs à nouveau com- + % % % % % préhensibles. % % % % % %% + % % % % %%%% % % % % + % % Cette installation utilise gensim, une boîte à outils open source % + % % % % % pour le language de programmation Python, qui permet de créer des + % % % % % espaces de vecteurs et des modèles thématiques. Elle manipule le + % % texte selon les relations mathématiques qui émergent entre les % + % % % % mots, une fois qu'ils ont été tracés dans l'espace de vecteurs. + % % % % %% + % --- + % + % Concept & interface: Cristina Cochior % + % + % % % Technique: word embeddings, word2vec + % % + Modèle original: Radim Rehurek et Petr Sojka + % + % + 0 0 + % 0 0 0 0 + ___ _ 0 % 0 _ + / __\ | __ _ ___ ___ ___ _ __ | | ___ 0 + % 0 / / | |/ _` / __/ __|/ _ \ '__| | |/ _ \ + % / /___| | (_| \__ \__ \ __/ | | | __/ + 0 0 \____/|_|\__,_|___/___/\___|_| |_|\___| 0 + 0 0 _ + 0 _ __ ___ ___ _ __ __| | ___ + 0 0 | '_ ` _ \ / _ \| '_ \ / _` |/ _ \ + | | | | | | (_) | | | | (_| | __/ 0 + |_| |_| |_|\___/|_| |_|\__,_|\___| + 0 0 0 % + + Par Algolit + % + La construction du Mundaneum a été 'l'œuvre de la vie' du biblio- + thécaire Paul Otlet. Selon son but, ce cerveau mécanique collec- + tif aurait abrité et distribué tout ce qui a été couché sur pa- + % pier. Chaque document aurait été classé selon la Classification + décimale universelle. En utilisant des télégraphes et surtout des + trieurs, le Mundaneum aurait été en mesure de répondre à toutes + les questions posées par n'importe qui. + + Avec la collection de publications numérisées que nous avons re- + çue du Mundaneum, nous construisions une machine de prédiction + qui essaie de classer la phrase que vous tapez dans l'une des + principales catégories de la Classification décimale universelle. + Vous êtes également témoin de la façon dont la machine 'pense'. + Pendant l'exposition, ce modèle est régulièrement mis à jour à + l'aide des données nettoyées et annotées, ajoutées par les visiteurs + dans les installations 'Nettoyage pour Poèmes' et 'L'Annotateur'. + + Les classes principales de la Classification Décimale Universelle + sont les suivantes: + + 0 - Généralités (Sciences et connaissance ; organisation. infor- + matique, information, documentation, bibliothéconomie. institu- + tions, publications) + + 1 - Philosophie et psychologie + + 2 - Religion, théologie + + 3 - Sciences sociales (Statistique. Économie. Commerce. Droit. + Gouvernement. Affaires militaires. Assistance sociale. + Assurances. Éducation. Folklore) + + 16 + % % % % %% % 4 - inoccupée %% % % %% % % % + % % % % % % %% % % % % % % %%% + % % % % % % 5 - Sciences pures (Mathématiques, sciences exactes et naturel- + % % % % % % % % % les) % %% % % %% % % % + % %% % % % % % % % % % + %% 6 - Sciences appliquées. Médecine. Technologie % + % % % % % % % % %%% % + % 7 - Arts. Divertissements. Sports % % % + % % % % % % % % % % + % % % % 8 - Langue. Linguistique. Littérature % + % % % % % % % + % 9 - Géographie. Biographie. Histoire % + % % + % --- % + % % + Concept, code, interface: Sarah Garcin, Gijs de Heij, An Mertens + % + + 00 0 0 % 0 0 % + 0 0 % 0 0 + % ___ _ + / _ \___ ___ _ __ | | ___ + 0 / /_)/ _ \/ _ \| '_ \| |/ _ \ + / ___/ __/ (_) | |_) | | __/ 0 + % \/ \___|\___/| .__/|_|\___| 0 + 00 |_| + 0 _ _ _ _ + 0 __| | ___ _ __( ) |_ | |__ __ ___ _____ + 0 / _` |/ _ \| '_ \/| __| | '_ \ / _` \ \ / / _ \ % + | (_| | (_) | | | || |_ | | | | (_| |\ V / __/ + \__,_|\___/|_| |_| \__| |_| |_|\__,_| \_/ \___| 0 % + + % 0 _ % 0 _ _ % + 0 | |__ _ 0 _| |_| |_ ___ _ __ ___ + 0 00 | '_ \| | | | __| __/ _ \| '_ \/ __| 0 + | |_) | |_| | |_| || (_) | | | \__ \ 0 + 0 |_.__/ \__,_|\__|\__\___/|_| |_|___/ + 0 + + Par Algolit + + Depuis les débuts de l'intelligence artificielle (IA), les cher- + cheurs ont spéculé sur la possibilité pour les ordinateurs de + pouvoir penser et communiquer comme des humains. Dans les années + 1980, il y a eu une première révolution dans le traitement du + langage naturel (NLP), le sous-domaine de l'intelligence artifi- + % cielle (IA) qui concerne les interactions linguistiques entre les + ordinateurs et les humains. Récemment, des modèles linguistiques + pré-entraînés ont atteint des résultats de pointe sur un large + éventail de tâches de NLP, ce qui intensifie encore les attentes + d'un avenir avec l'IA. + + Cette œuvre sonore, composée de fragments sonores de documen- + taires scientifiques et de matériel audiovisuel lié à l'IA datant + de la deuxième moitié du XXe siècle, explore les espoirs, les + craintes et les frustrations provoqués par ces attentes. + % + --- + + Concept, édition : Javier Lloret + + Listes des sources : 'The Machine that Changed the World : + Episode IV -- The Thinking Machine', 'The Imitation Game', 'Maniac', + 'Halt & Catch Fire', 'Ghost in the Shell', 'Computer Chess', + '2001: A Space Odyssey', Ennio Morricone, Gijs Gieskes, André Castro. + + + + + 17 + RÉCITS CONTEXTUALISÉS + AUTOUR DES ORACLES + + + + Les Oracles sont un type particulier de modèles Sweeney a fondé son enquête sur des recherches + algorithmiques qui servent à prédire ou à profi- portant sur 2184 prénoms racisés sur deux sites + ler. Ils sont largement utilisés dans les smart- Web. 88 % des prénoms, identifiés comme étant don- + phones, les ordinateurs et les tablettes. Les nés à un plus grand nombre de bébés noirs, sont + Oracles peuvent être créés à l'aide de différentes considérés comme prédictifs de la race, contre + techniques. L’une d’entre elles consiste à définir 96 % de blancs. Les prénoms qui sont principale- + manuellement les règles. Ces modèles sont appelés ment donnés à des bébés noirs, comme DeShawn, Dar- +'rule-based models'. Ils sont utiles pour des nell et Jermaine, ont généré des annonces mention- +tâches spécifiques, comme par exemple, la détec- nant une arrestation dans 81 à 86 % des recherches +tion de la mention d'une certaine molécule dans un de noms sur un site, et dans 92 à 95 % des cas sur + article scientifique. Ils sont performants, même l'autre. Les noms qui sont principalement attri- + avec très peu de données d'entraînement. bués aux blancs, comme Geoffrey, Jill et Emma, + n'ont pas donné les mêmes résultats. Le mot 'ar- + Mais il y a aussi les Oracles d'apprentissage au- restation' n'est apparu que dans 23 à 29 % des re- + tomatique ou les Oracles statistiques, qui peuvent cherches de noms blancs sur un site, et 0 à 60 % + être divisés en deux : les Oracles 'supervisés' sur l'autre. + et 'non supervisés'. Pour la création de modèles + d'apprentissage automatique supervisés, les hu- Sur le site affichant le plus de publicité, un nom + mains annotent les données d'entraînement avant d'identification noir était 25 % plus susceptible + de les envoyer à la machine. Chaque texte est jugé d'obtenir une publicité suggérant un dossier d'ar- + par au moins 3 humains: par exemple, s’il s’agit restation. Quelques noms n'ont pas suivi ces modè- +de spam ou non, s’il est positif ou négatif. Les les : Dustin, un nom donné principalement aux bé- +Oracles d'apprentissage automatique non supervisés bés blancs, a généré une publicité suggérant une +n'ont pas besoin de cette étape mais nécessitent arrestation dans 81 et 100 % des cas. Il est im- + de grandes quantités de données. C’est également à portant de garder à l'esprit que l'apparition de + la machine de tracer ses propres motifs ou 'règles l'annonce est liée au nom lui-même et non au fait + grammaticales'. Enfin, les experts font la diffé- qu'il ait un dossier d'arrestation dans la base de + rence entre les Oracles basés sur l'apprentissage données de l'entreprise. + automatique classique et ceux basés sur des ré- + seaux de neurones. Vous en apprendrez plus à ce Référence : https://dataprivacylab.org/ + sujet dans la zone Lecteurs. projects/onlineads/1071-1.pdf + + Les humains ont tendance à exagérer la performance + des Oracles. Parfois, ces Oracles apparaissent --- Qu'est-ce qu'un bon employé ? --- + quand il y a un disfonctionnement. Dans les commu- +niqués de presse, ces situations souvent drama- Depuis 2015, Amazon compte environ 575 000 tra- +tiques sont appelées des 'leçons'. Malgré la pro- vailleurs, et ils leur en faut plus. Par consé- +messe de leurs performances, beaucoup de problèmes quent, ils ont mis sur pied une équipe de 12 per- + restent à résoudre. Comment s'assurer que les sonnes pour créer un modèle qui trouverait de bons + Oracles soient justes, que chaque être humain candidats en parcourant des sites de demande d'em- + puisse les consulter, qu'ils soient compréhen- ploi. L'outil attribuerait aux candidats une note + sibles par un large public ? Même au-delà, des allant de une à cinq étoiles. Le potentiel a ali- + questions existentielles persistent. Avons-nous menté le mythe : l'équipe voulait un logiciel qui + besoin de tous les types d'intelligences artifi- recracherait les cinq meilleurs sur une liste de + cielles ? Et qui définit ce qui est juste ou injuste ? 100 candidats humains pour les embaucher. !!! + + Le groupe a créé 500 modèles algorithmiques, cen- + --- Adsense racial --- trés sur des fonctions et des lieux de travail + spécifiques. Ils ont appris à reconnaître 50 000 +Latanya Sweeney, professeur en Gouvernance et termes qui figuraient sur les lettres d’anciens +Technologie à l'Université de Harvard, a documenté candidats. Les algorithmes ont appris à accorder + une 'leçon' classique sur le développement des peu d'importance aux compétences communes aux can- + Oracles. En 2013, Sweeney, d'origine afro-améri- didats en IT, comme la capacité d'écrire du code + caine, a googlé son nom. Elle a immédiatement reçu informatique, mais ils ont aussi reproduit les er- + une publicité pour un service qui lui offrait 'de reurs de leurs créateurs. Juste avant d'approuver + voir le casier judiciaire de Latanya Sweeney'. un modèle, l’entreprise s’est rendue compte que + Sweeney, qui n'a pas de casier judiciaire, a dès les modèles ont décidé que les candidats masculins + lors entamé une étude. Elle a commencé à comparer étaient préférables. Ils pénalisaient les candida- + la publicité que Google AdSense offrait à diffé- tures qui comprenaient le mot ‘femmes’ ou ‘féminin’, + rents noms racisés identifiables. Elle a découvert comme dans 'capitaine de club d'échecs féminin'. + qu'elle recevait plus d’annonces de ce type en re- + cherchant des noms ethniques non-blancs qu'avec Et ils ont rétrogradé les diplômées de deux +des noms traditionnellement perçus comme blancs. universités réservées aux femmes. + + 18 + + + + + + Ceci est dû à l'utilisation pour leur entraînement sein de la communauté du machine learning. Ces mo- + des demandes d'emploi reçues par Amazon sur une dèles fallacieux ou biaisés sont synonymes d’une + période de 10 ans. Durant cette période, l'entre- discrimination automatisée. La question se pose: + prise avait surtout embauché des hommes. Au lieu est-il vraiment possible d'éliminer complètement + de fournir la prise de décision 'équitable' que les préjugés de ces modèles ? + l'équipe d'Amazon avait promise, les modèles re- + flétaient une tendance biaisée dans l'industrie Certains affirment que oui, d'autres sont en + technologique. Mais ils l'ont aussi amplifiée et désaccord. Avant de soumettre le modèle à une in- + rendu invisible. Les activistes et les critiques génierie inversée, nous devrions nous demander si +affirment qu'il pourrait être extrêmement diffi- nous en avons besoin tout court. Ces chercheurs +cile de poursuivre un employeur en cas d’embauche ont suivi une troisième voie. En reconnaissant la +automatisée : les candidats à un emploi pourraient discrimination qui trouve son origine dans le lan- + ne jamais savoir que des logiciels intelligents gage, ces modèles deviennent pour eux des outils + ont été utilisés dans ce processus. de sensibilisation, en visualisant le problème. + + Référence : https://www.reuters.com/article/us- L'équipe de la Standford University a développé un + amazon-com-jobs-automation-insight/amazonscraps- modèle d'analyse des ‘word embeddings’ entraîné + secret-ai-recruiting-tool-that-showed-bias- sur 100 ans de textes. Pour l'analyse contemporai- + against-women-idUSKCN1MK08G ne, ils ont utilisé les Google News word2vec Vec- + tors, un paquet prêt à l’emploi, téléchargeable, + entraîné sur le Google News Dataset. Pour l'ana- + --- Quantification de 100 ans lyse historique, ils ont utilisé des 'word embed- + de stéréotypes sexuels et ethniques --- dings' qui ont été entraînés sur Google Books et + The Corpus of Historical American English +Dan Jurafsky est le co-auteur de 'Speech and Lan- (COHA https://corpus.byu.edu/coha/) avec plus de +guage Processing', un des ouvrages les plus in- 400 millions de mots de textes des années 1810 à + fluents pour l'étude du traitement du langage na- 2000. Afin de valider le modèle, ils ont entraîné + turel. Avec quelques collègues de l'Université de des ‘word embeddings’ du New York Times Annotated + Stanford, il a découvert en 2017 que les ‘word em- Corpus pour chaque année entre 1988 et 2005. + beddings’ peuvent être un outil puissant pour + quantifier systématiquement les stéréotypes com- Leur recherche montre que les ‘word embeddings’ + muns ainsi que d'autres tendances historiques. reflètent l'évolution des stéréotypes sexistes et + ethniques au fil du temps. Ils quantifient comment + Les ‘word embeddings’ sont une technique qui tra- des préjugés spécifiques diminuent avec le temps + duit les mots en vecteurs numérotés dans un espace tandis que d'autres stéréotypes augmentent. Les + multidimensionnel. Les vecteurs qui apparaissent principales transitions révèlent des changements + proches l’un de l’autre, indiquent une significa- dans les descriptions de genre et de groupes eth- +tion similaire. Ainsi, tous les numéros seront re- niques lors du mouvement des femmes dans les an- +groupés, toutes les prépositions, les prénoms et nées 1960-70 et la croissance de la population +les professions, etc. Cela permet de faire des asio-américaine dans les années 1960 et 1980. + calculs avec les mots. Vous pourriez, par exemple, + soustraire Londres de Royaume-Unis et votre résul- Quelques exemples : + tat serait le même que de soustraire Paris de France. + Les dix professions les plus étroitement associées + Un exemple de leur recherche montre que le vecteur aux groupes ethniques dans le jeu de données de + de l'adjectif 'honorable' est plus proche du vec- Google News : + teur 'homme', alors que le vecteur 'soumis' est + plus proche de 'femme'. Ces stéréotypes sont alors - Hispanique : femme de ménage, maçon, artiste, + automatiquement appris par l'algorithme. Il concierge, danseur, mécanicien, photographe, bou- + s’avère problématique lorsque les 'embeddings' langer, caissier, chauffeur. +pré-entraînés sont utilisés pour des applications +sensibles comme les classements de recherche, les - Asiatique : professeur, fonctionnaire, secrétai- +recommandations de produits ou les traductions. Ce re, chef d'orchestre, physicien, scientifique, + risque est réel, car un grand nombre de ‘word em- chimiste, tailleur, comptable, ingénieur. + beddings’ pré-entraînés sont téléchargeables sous + forme de paquets prêts à l'emploi. - Blanc : forgeron, ferronnier, géomètre, shérif, + tisserand, administrateur, maçon, statisticien, + On sait que la langue reflète et maintient en vie ecclésiaste, photographe. + les stéréotypes culturels. L'utilisation des 'word + embeddings' pour repérer ces stéréotypes est moins Les 3 professions les plus masculines dans les + cher et prends moins de temps que les méthodes ma- années 1930 : ingénieur, avocat, architecte. + nuelles. Mais leur mise en oeuvre dans des modèles + de prédiction suscite beaucoup de discussions au Les 3 professions les plus féminines dans les + + 19 + + + + + +années 1930 : infirmière, femme de ménage, transparence. Il existe un livre sur la façon dont +aide-soignante. les préjugés dans les modèles d'IA peuvent briser + la vie des gens, intitulé 'Weapons of Math Destruction'. + Peu de choses ont changé dans les années 1990. On y parle de modèles d'IA aux États-Unis qui classent + les enseignants. C’est assez horrible parce qu'il y + Principales professions masculines : aura forcément des préjugés. D’après leur recherche, + architecte, mathématicien et géomètre. la façon d’aborder la question serait d'abord d’avoir + Les professions féminines restent les mêmes : un modèle open source, où l’on peut consulter le + infirmière, femme de ménage et sage-femme. code et voir quelles fonctionnalités sont utilisées + avec desd onnées ouvertes, afin que les gens + Mais qu'est-ce qui s'est passé dans cette puissent enquêter, trouver des préjugés, donner + recherche avec les afro-américains? leur feedback et faire un rapport. Il devrait y + avoir un moyen de réparer le système. Je ne pense pas +Référence : https://arxiv.org/abs/1711.08412 que toutes les entreprises vont dans cette direction, + mais Wikipédia, en raison des valeurs qu'elle défend, + est au moins plus transparente et pousse d'autres + --- Le Service ORES de Wikimedia --- personnes à faire de même. + + L'ingénieur de logiciels Amir Sarabadani a présen- Référence : https://gitlab.constantvzw.org/algolit/ + té le projet ORES à Bruxelles en novembre 2017 algolit/blob/master/algoliterary_encounter/ + lors de notre Rencontre Algolittéraire. Cet 'Ob- Interview%20with%20Amir/AS.aac + jective Revision Evaluation Service' utilise l'ap- + prentissage automatique pour automatiser le tra- + vail critique sur Wikimedia, comme la détection du --- Tay --- + vandalisme et la suppression d'articles. Cristina + Cochior et Femke Snelting l'ont interviewé. Une histoire tristement célèbre est celle du pro- + gramme d'apprentissage automatique Tay, conçu par +Femke : Revenons à votre travail. Ces temps-ci, Microsoft. Tay était un chatbot qui imitait une +vous essayez de comprendre ce que signifie trouver adolescente sur Twitter. Elle a vécu moins de 24 +des préjugés discriminatoires dans l'apprentissage heures avant d'être éteinte. Peu de gens savent + automatique. La proposition de Nicolas Malevé, qui qu'avant cet incident, Microsoft avait déjà en- + a donné l'atelier hier, était de ne pas essayer de traîné et publié XiaoIce sur WeChat, l'application + le réparer, ni de refuser d'interagir avec des de chat la plus utilisée en Chine. Le succès de + systèmes qui produisent de la discrimination, mais XiaoIce a été si prometteur qu'il a conduit au dé- + de travailler avec eux. Il considère que les pré- veloppement de son homologue américain. Cependant, + jugés sont inhérents à la connaissance humaine et les développeurs de Tay n'étaient pas préparés + que nous devons donc trouver des moyens de les pour le climat de la plateforme Twitter. Bien que + utiliser d'une façon ou d'une autre. Nous avons le bot savait distinguer un nom d'un adjectif, il + discuté un peu de ce que cela signifierait, com- n'avait aucune compréhension de la signification + ment cela fonctionnerait... Je me demandais donc réelle des mots. Le robot a rapidement commencé à + si vous aviez des idées sur cette question de par- reproduire les insultes raciales et d'autres lan- +tialité. gages discriminatoires qu'il a appris par les + autres utilisateurs de Twitter et les attaques de +Amir : La partialité à l'intérieur de Wikipédia trolls. + est une question délicate parce qu'elle se produit + à plusieurs niveaux. Un niveau très discuté est le L'apparition et la mort de Tay représentent une + système des références. Toutes les références ne prise de conscience importante. Elle a montré les + sont pas accessibles. Ce que la fondation Wikime- conséquences possibles de la corruption de l'ap- + dia a essayé de faire, c'est de donner un accès prentissage automatique, lorsque le contexte + gratuit aux bibliothèques payantes. Ils réduisent culturel dans lequel l'algorithme doit vivre + l'exclusion en n'utilisant que des références en n'est pas pris en compte. + libre accès. Un autre type de discrimination est + la connexion Internet, l'accès à Internet. Il y a Référence : https://chatbotslife.com/the- + beaucoup de gens qui ne l'ont pas. Une chose à accountability-of-ai-case-study-microsofts + propos de la Chine, c'est qu'Internet y est blo- -tay-experiment-ad577015181f +qué. Le contenu opposé au gouvernement de la Chine +au sein du Wikipédia chinois est plus élevé parce +que les éditeurs [qui peuvent accéder au site Web] + ne sont pas pro-gouvernement et essaient de le + rendre plus neutre. On le remarque donc à beaucoup + d'endroits. En ce qui concerne l'intelligence ar- + tificielle (IA) et le modèle que nous utilisons + chez Wikipedia, c'est plutôt une question de + + 20 +cleaners clean cleaners clean cleaners clean cleaners clean cleaners clean cleaners clean + cleaners clean cleaners clean cleaners clean cleaners clean cleaners clean + cleaners clean cleaners clean cleaners clean cleaners clean + cleaners clean cleaners clean cleaners clean + cleaners clean cleaners clean cleaners clean cle +ners clean cleaners clean cleaners clean +cleaners clean cleaners clean cleaners clean + cleaners clean cleaners clean cleaners +lean cleaners clean cleaners clean + cleaners clean cleaners clean + cleaners clean cleaners clean cle +ners clean cleaners clean cleaners +clean cleaners clean cleaners +lean cleaners clean cleane +s clean cleaners clean +cleaners clean cleaners clean + cleaners clean cleaners clean + cleaners clean cleaners clean + cleaners clean + cleaners clean cleaners clean + cleaners clean cleaners clean + cleaners clean + cleaners clean cleaners clean + cleaners clean + cleaners clean cleaners clean + cleaners clean + cleaners clean cleaners +clean cleaners clean + cleaners clean + cleaners clean cleaners clean + cleaners clean + cleaners clean + cleaners clean cleaners +clean cleaners clean + cleaners clean + cleaners clean + cleaners clean cle +ners clean cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean cleaners +lean cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean + cleaners clean + 21 + , i c i r e _1i 3 %3 +-+-+-+-+-+-+-+-+ 5 +-+-+-+-+-+ ’9 2 n 9s ea-si1it e5 2- l4snn -c 8 c + ro3 s 3ro7 l l à sl D |c|l|e|a|n|e|r|s| |c|l|e|a|n| l 8 d768 88oe o +a 6 lail 71ea + aa 3 i V0tnt + u| +-+-+-+-+-+-+-+-+ 8 +-+-+-+-+-+ opti9 o 7 uu5ouc 7 1 8 r _'8 nd +a1 ft 8 ts a 7 tt n3ie i 6b ed + r d 3a r u 9 rr2és0 p 23wV c 6st 2cà% i _ 7 a g |\ + a u3+ g+it | n é 1sr6 ot r 1rn6 t a o e - a' +/, t 9 i hl55ls4 t4 e r 2 t - a l t9 + 6el 4 4c n 79 xp -an_w2m+o r din o, +-+-+ n +-+-+-+-+-+-+ ||6e g qes 6 2 s i m God76 e + oaed è h+ 4epe % p p ag lc w t 3 r |w|e| t s |h|e|l|p|e|d| _ 7r srt ed n % 9 9 eo19c ic , + l3 4 u a pv i 9 u s- c g e7 +-+-+ r 6 +-+-+-+-+-+-+ r 7 or4 -s p 6e nl t x64 8)e t + + 39 , - ru é% o r c a +-+-+ c r +-+-+-+-+-+-+-+ + - 4 w t 2r |slln 7ad+ 95 D + pi t ' i e n,pu ai5h u i l t |w|e| u |c|l|e|a|n|e|d| a +4 d r cL ,4 s 9 5 + éil o _i |i r n | i3ei e 1 +-+-+ \ y +-+-+-+-+-+-+-+ d ii 4 b s 7 a e | re 0 + t s u g98 4e 3, if uk +-+-+-+-+-+ +-+-+-+-+ +-+-+ +-+-+-+-+-+-+ r a s9 a 3| P 1 s9r + \e1 é i s is c |h|u|m|a|n| |w|o|r|k| - |i|s| |n|e|e|d|e|d| , r. ta pt 3 d0 + r b d , an 9|an po d m +-+-+-+-+-+ +-+-+-+-+ at +-+-+ +-+-+-+-+-+-+ n -5 -+ o9 s Ds 1 + i | d e471 +-+-+-+-+-+-+-+-+-+-+-+ 5 qel g8 2sM 4 4 | 8 - h jt5 8a 1 e +tr _ l ‘| du w e5a |p|o|o|r|l|y|-|p|a|i|d| o l g ste a h2 s ai f 4 1 M 7 + v 3a o6 s l5 +-+-+-+-+-+-+-+-+-+-+-+ s t 4 |s u / 1e t t Ae c re 90t46 r 8 eu + -ve r r-elr e +-+-+-+-+-+-+-+-+-+-+-+ | +-+-+-+-+-+ +-+-+-+ 5 r 8 4 d ,lcp s s + o i l 2r |f|r|e|e|l|a|n|c|e|r|s| u |c|a|r|r|y| |o|u|t| S m n 1: e8l o D + s |i t9 sm _ +-+-+-+-+-+-+-+-+-+-+-+ 5 +-+-+-+-+-+ +-+-+-+ 1 s 4 à 5 t d e + we lr a à +-+-+-+-+-+-+-+-+-+-+ s +-+-+ +-+-+-+-+-+-+-+-+-+ +-+-+-+-+ h 4 5i + r r' dqe ean |v|o|l|u|n|t|e|e|r|s| L |d|o| |f|a|n|t|a|s|t|i|c| |w|o|r|k| u id t l + i o- - s 9e 7 +-+-+-+-+-+-+-+-+-+-+ +-+-+ +-+-+-+-+-+-+-+-+-+ +-+-+-+-+ + u - + 5 -i 9 4 t +-+-+-+-+-+-+-+ +-+-+-+-+-+-+ +-+-+ +-+-+-+-+ e 9 4 4 i t + t l 7 r ré 2 |w|h|o|e|v|e|r| 1 |c|l|e|a|n|s| |u|p| |t|e|x|t| o n 6r a + sn l d n 1i esw +-+-+-+-+-+-+-+ +-+-+-+-+-+-+ +-+-+ +-+-+-+-+ 3 9 r p t n + ae i2 8 é _d 7 7 ê rs a c t e e 9r r6 i a + d il a t e n eê _ s e4t o L 6 ré s +  i p nt 3c s é 8 2 e ot e a q l p cu e y + i 2 e a t c6 2 l m m u a + ot0e 6 h 6 r | 2 3 s + o o | i + t 8 u - , i 4 u 4 e \ n c 3l 3 +r c t e7 n s 6 q a . u e a 4 + i 4s le i e 3 g a é u 8 9 - t c n 9 | - o , p + 5 s r c d 3 t r s d i e t 8 o + 1 . n p 5 l 2 b c8 r ét 3 c + a 4 8 w r s % c 3 e 9 + 5 s l 4 u 3 - w1 e s 3 s t c + + . s nm 5 o 4 8 + , h 2 s e a a g r tm 8 s g n + s c 3 oc e 1 a 2 u e t 2 cd + r 1 5 c lai % p4 e u 2 + e a 9 a m s el9 uu + 9 % / 6 34 u l 6 ô +7 s 4 e . e 9 a e + e h o n g 2 e , + ip e 4 p e e o y o + u 5 5 oa t5 i 5 e t 2 + c c u f l n . e t + + i a u n e 5 é u s 2 + w 6 a - p a + 6 n l :| o l a - w +8 + è i cl w i e / 2 + / 1 c j + à u \ o s s D d 9 + m p 7 + + 1 g 3 7s + t ' t d r 2 + | p s 1 l e c 3 + c q n + 2 r V e + a a +4 4 s e o é +m y l D + sg a s - q e g s E + d a9 . g 6 +6 i + s r' + u r k e a s- V d + ea 3 d e - r r g s a | 8 . + + 22 + V V V % V % V V V V % % % % % % % % % % % % % + V V V V V V V V V V V V V V V V % %% % % % 0 +V V % V V % V V V V % V % 0 % % % 0 % % 0 % 0 0 % % + % % % % % % __ % _ _ % % % 0 % % + % % % % % /\ \ \___| |_| |_ ___ _ _ __ _ __ _ ___ + NETTOYEURS / \/ / _ \ __| __/ _ \| | | |/ _` |/ _` |/ _ \ %% % % + % % / /\ / __/ |_| || (_) | |_| | (_| | (_| | __/ 0 + % % % %% % \_\ \/ \___|\__|\__\___/ \__, |\__,_|\__, |\___| + V V V % V V V V V % 0 0 |___/ 0 0 |___/ % % % + V V V % V V V V V + V V V V V V V V V V V V V V V V % 00 _ __ ___ _ _ _ __ _ _ _ __ % % +V V V V V V V V V 0 | '_ \ / _ \| | | | '__| | | | | '_ \ + V V V V V V V V | |_) | (_) | |_| | | 0 | |_| | | | | % % % + V V V V V V V V V V V V V V V V | .__/ \___/ \__,_|_| \__,_|_| |_| % +V V V V V V V V V 0 0 |_| 0 % + % % 0 0 0 ___ 0 __ % % +Algolit choisit de travailler avec 0 / _ \___ \_\_ _ __ ___ ___ 0 +des textes libres de droits. Cela 0 0 / /_)/ _ \ / _ \ '_ ` _ \ / _ \ % +signifie qu'ils sont publiés sous % 0 / ___/ (_) | __/ | | | | | __/ 00 +une licence Creative Commons 4.0 - \/ 0 \___/ \___|_| |_| |_|\___| +ce qui est rare -, ou qu'ils sont 0 0 +dans le domaine public parce que +l'auteur est mort il y a plus de 70 par Algolit % % +ans. C'est le cas des publications % % +du Mundaneum. Nous avons reçu 203 % Pour cette exposition, nous travaillons avec 3% des archives du +documents pour constituer des jeux Mundaneum. Ces documents ont d'abord été numérisés ou photogra- +de données qui sont maintenant dis- phiés. Pour rendre les documents consultables, ils sont transfor- +ponibles en ligne. L'inconvénient % més en texte à l'aide du logiciel de reconnaissance optique de +de ce choix est que nous sommes % caractères (OCR) basés sur des modèles algorithmiques entraînés à +souvent confrontés à de mauvais % base d'autres textes. Ils ont appris à identifier des caractères, +formats de texte. Cela signifie que des mots, des phrases et des paragraphes. +nous sommes souvent obligés de net- +toyer des documents. Nous ne sommes Le logiciel fait souvent des 'erreurs'. Il peut être perturbé par +pas seuls dans cette situation. un caractère erroné, une typographie inhabituelle ou la transpa- + rence de la page laissant apparaître le verso. Bien que ces er- +Les livres sont numérisés en haute reurs soient souvent considérées comme du bruit, elles peuvent +résolution, page par page. C'est un aussi être considérées comme des interprétations poétiques de +travail humain intensif et c'est l’algorithme. Elles nous montrent les limites de la machine. Et +souvent la raison pour laquelle les % elles révèlent également comment l’algorithme fonctionne, quelle +archives et les bibliothèques % % matière l’a alimenté lors de son entraînement et ce qu’ils ré- +transfèrent leurs collections à une vèlent des normes de ses fabricants. Dans cette installation, +société comme Google. Les photos vous pouvez choisir comment vous traitez les erreurs de lecture % +sont converties en texte via OCR de l'algorithme. Sélectionnez un degré de nettoyage poétique, im- +(Reconnaissance Optique de Caractè- primez votre poème et emportez-le chez vous. +res), des Data Workers qui recon- % +naissent les lettres. Dans l'exécu- --- % +tion de cette tâche, les algo- % +rithmes font des erreurs, en parti- Concept, code, interface: Gijs de Heij +culier lorsqu'ils doivent traiter +des polices anciennes et des pages +froissées. Ici aussi un travail hu- +main intensif est nécessaire pour +améliorer les textes. Cela est fait +par des freelances via des plate- +formes de micro-paiement comme Me- +chanical Turk ; ou par des volon- +taires, comme la communauté du Dis- +tributed Proofreaders Project, qui +fournit un travail incroyable. Quoi +qu’il en soit, le nettoyage des +textes est un travail énorme pour +lequel il n'y a pas encore d'auto- +matisation structurelle. + + + + + + + 23 + 0 0 0 0 + 0 0 0 + 0 0 __ 0 _ 0 _ + 0 / / ___ _ __ _ __ ___ (_) ___| |_ + / / / _ \ | '_ \| '__/ _ \| |/ _ \ __| + / /__| __/ | |_) | | | (_) | | __/ |_ + \____/\___| | .__/|_| \___// |\___|\__| 0 + 0 |_| |__/ + 00 ___ _ 0 _ _ _ _ 0 _ + / (_)___| |_ _ __(_) |__ _ _| |_ ___ __| | + / /\ / / __| __| '__| | '_ \| | | | __/ _ \/ _` | + / /_//| \__ \ |_| | | | |_) | |_| | || __/ (_| | + /___,' |_|___/\__|_| |_|_.__/ \__,_|\__\___|\__,_| + + 0 ___ 0 __ _ + 0 / _ \_ __ ___ ___ / _|_ __ ___ __ _ __| | ___ _ __ ___ + / /_)/ '__/ _ \ / _ \| |_| '__/ _ \/ _` |/ _` |/ _ \ '__/ __| + / ___/| | | (_) | (_) | _| | | __/ (_| | (_| | __/ | \__ \ + % \/ |_| \___/ \___/|_| |_| \___|\__,_|\__,_|\___|_| |___/ + + 0 + %%% % % % %% % % %% 0 % % 0 % 0 % 00 % % + % % %%% % % %% % % %% 00 % 0 0 00 % 0 % %% + %%% % % % % % 0 0 % % 0 % 0 0 % + % % % %% % % % % % 0 0 % % +% %% % % % % % + %% % % par Algolit % % % % % + % % % % % + % % Distributed Proofreaders est une interface Web et une communauté + % internationale de bénévoles qui aident à convertir des livres du + % % % domaine public en livres électroniques. Pour cette exposition, + % ils ont relu des publications de Mundaneum parues avant 1923, qui + % % sont donc dans le domaine public aux États-Unis. + % % % + % Leur collaboration a été un grand soulagement pour les membres + % % % % d'Algolit. Moins de documents à nettoyer ! Tous les livres corri- + % gés sont disponibles dans les archives du Projet Gutenberg. An + Mertens a interviewé Linda Hamilton, directrice générale de Dis- + % tributed Proofreaders. % + % % % + --- % + + Interview : An Mertens, Algolit et Linda Hamilton, Distributed + Proofreaders % + % + Montage : Michael Murtaugh, Constant + % + % + + + + + + + + + + + + + + + + + + + + + + 24 + RÉCITS CONTEXTUALISÉS + AUTOUR DES NETTOYEURS + + + + --- Projet Gutenberg et IDÉES + Distributed Proofreaders --- + + Le projet Gutenberg est notre grotte d'Ali Baba. A. L'instinct de Mort et l'instinct de Vie : + Il offre plus de 58 000 livres électroniques gra- + tuits à télécharger ou à lire en ligne. Les œuvres L'Instinct de Mort : séparation ; catégorisation ; + sont acceptées sur Gutenberg lorsque leur droit avant-garde par excellence ; suivre le chemin pré- +d'auteur américain a expiré. Des milliers de béné- dit vers la mort - exécuter son propre code ; +voles numérisent et relisent des livres pour aider changement dynamique. +le projet. Une partie essentielle du travail est + réalisée dans le cadre du projet Distributed Proo- L'Instinct de Vie : l'unification ; le retour + freaders. Il s'agit d'une interface Web pour aider éternel ; la perpétuation et l'ENTRETIEN de la ma- + à convertir les livres du domaine public en livres tière ; les systèmes et opérations de survie ; + électroniques. Pensez aux fichiers texte, aux e- l'équilibre. + pubs, aux formats Kindle. En divisant la charge de + travail en pages individuelles, de nombreux béné- + voles peuvent travailler sur un livre en même B. Deux systèmes de base : + temps, ce qui accélère le processus de nettoyage. + Développement et entretien. La boule de cristal de + Pendant la relecture, les bénévoles reçoivent une chaque révolution : après la révolution, qui va + image scannée de la page et une version du texte, essayer de repérer le taux de discrimination dans +lue par un algorithme de reconnaissance optique la production ? +des caractères (OCR) entraîné pour reconnaître les +lettres dans les scans. Cela permet de comparer Développement : pure création individuelle ; le + facilement le texte à l'image, de le relire, de le nouveau ; le changement ; le progrès ; l'avancée ; + corriger et de le renvoyer sur le site. Un l'excitation ; la fuite ou s'enfuir. + deuxième bénévole se voit ensuite présenter le + travail du premier. Il vérifie et corrige le tra- Entretien : garder la poussière de la création in- + vail si nécessaire, et le soumet au site. Le livre dividuelle pure ; préserver le nouveau ; soutenir + passe ensuite par un troisième cycle de relecture le changement ; protéger le progrès ; défendre et + et deux autres cycles de mise en page à l'aide de prolonger l'avancée ; renouveler l'excitation ; + la même interface Web. Une fois que toutes les répéter le vol ; montrez votre travail/remontrez- + pages ont terminé ces étapes, un post-processeur le ; gardez le dépôt git mis à jour ; gardez + les assemble soigneusement dans un e-book et les l'analyse des données révélatrice. + soumet à l'archive du Projet Gutenberg. + Les systèmes de développement sont des systèmes de +Nous avons collaboré avec le Distributed Proofrea- rétroaction partielle avec une grande marge de +ders Project pour nettoyer les fichiers numérisés changement. + que nous avons reçus de la collection du Munda- + neum. De novembre 2018 jusqu'à la première mise en Les systèmes d'entretien sont des systèmes à ré- + ligne du livre 'L'Afrique aux Noirs' en février troaction directe avec peu de possibilités de mo- + 2019, An Mertens a échangé environ 50 courriels dification. + avec Linda Hamilton, Sharon Joiner et Susan Han- + lon, toutes bénévoles du Distributed Proofreaders + Project. La conversation complète est publiée en- C. L'entretien est une corvée, + ligne. Cela pourrait vous inspirer à partager ça prend tout le temps. + des livres non disponibles en ligne. + L'esprit est éblouissant et s'irrite devant l'ennui. + +--- Une version algolittéraire La culture attribue un statut médiocre aux emplois + du Manifeste sur l’entretien --- d'entretien = salaire minimum, les Mechanical + Turks d'Amazon = pratiquement aucun salaire. + En 1969, un an après la naissance de son premier + enfant, l'artiste new-yorkaise Mierle Laderman Nettoyer le set, marquer les données d'entraîne- + Ukeles a écrit un 'Manifesto for Maintenance' ment, corriger les fautes de frappe, modifier les + (Manifeste pour l'entretien). paramètres, terminer le rapport, satisfaire le de- + mandeur, télécharger la nouvelle version, joindre + Le Manifeste d'Ukeles appelle à une réévaluation les mots qui ont été mal reconnus par le logiciel + de l'état des travaux d'entretien dans l'espace de Reconnaissance Optique de Caractères, accomplir + privé, domestique et public. Ce qui suit est une ces tâches d'intelligence humaine, essayez de de- + version modifiée de son texte inspirée par le tra- viner la signification du formatage du demandeur, + vail des Nettoyeurs. vous devez accepter le 'hit' avant de pouvoir sou- + mettre les résultats, résumer l'image, ajouter la + + 25 + + + + + + case de délimitation, quelle est la similitude sé- des vidéos sur YouTube montrant aux 'turkers' com- + mantique de ce texte, vérifiez la qualité de la ment écrire un bot qui remplit des réponses pour + traduction, collecter vos micro-paiements, devenir vous. + un Mechanical Turk à succès. + Kristy Milland, une militante de Mechanical Turk, + Référence : https://www.arnolfini.org.uk/blog/ dit : 'Les travailleurs sur Mechanical Turk ont + manifesto-for-maintenance-art-1969 été très, très mal traités pendant 12 ans et, + d'une certaine façon, je vois cela comme un point + de résistance. Si nous étions payés équitablement + --- Une panique robotique chez sur la plateforme, personne ne prendrait le risque + le Mechanical Turk d'Amazon --- de perdre son compte de cette façon.' + +Le Mechanical Turk d'Amazon prend le nom d'un au- Bai a créé un questionnaire pour les chercheurs en + tomate d'échecs du 18ème siècle. En fait, le Turc dehors de Mechanical Turk. Il dirige actuellement + mécanique n'était pas du tout une machine. C'était une recherche parmi les spécialistes des sciences + une illusion mécanique qui permettait à un maître sociales pour déterminer la quantité de données + d'échecs humain de se cacher à l'intérieur de la erronées utilisées, l'ampleur du problème et les + boîte et de l'utiliser manuellement. moyens de l'enrayer. Mais il est impossible à + l'heure actuelle d'estimer combien de jeux de don- + Pendant près de 84 ans, le Turc a remporté la plu- nées sont devenus peu fiables de cette façon-ci. + part des matchs joués lors de ses manifestations + en Europe et en Amérique. Napoléon Bonaparte se Références : + serait lui aussi laissé berner par cette ruse. + https://www.wired.com/story/amazon-mechanical- +Le Mechanical Turk d’Amazon est une plateforme en turk-bot-panic/ +ligne à destination des humains pour exécuter des +tâches que les algorithmes ne parviennent pas à https://www.maxhuibai.com/blog/evidence-that-res- + faire. Il peut s'agir, par exemple, d'annoter des ponses-from-repeating-gps-are-random + phrases comme étant positives ou négatives, de re- + pérer des plaques d'immatriculation, de recon- http://timryan.web.unc.edu/2018/08/12/data-conta- + naître des visages. Les postes affichés sur cette mination-on-mturk/ + plateforme sont souvent rémunérés moins d'un cen- + time par tâche. Les tâches les plus complexes ou + nécessitant le plus de connaissances peuvent être + payées jusqu'à plusieurs centimes. Pour gagner + leur vie, les 'turkers' doivent accomplir le plus + de tâches possible le plus rapidement possible, ce + qui entraîne d’inévitables erreurs. Les créateurs +des jeux de données doivent incorporer des +contrôles de qualité lorsqu'ils publient un tra- +vail sur la plate-forme. Ils doivent vérifier si + le 'turker' a réellement la capacité d'accomplir + la tâche, et ils doivent également vérifier les + résultats. De nombreux chercheurs universitaires + utilisent le Mechanical Turk pour des tâches qui + auraient été exécutées par des étudiants auparavant. + + En août de l'année dernière, Max Hui Bai, un étu- + diant en psychologie de l'Université du Minnesota, + a découvert que les enquêtes qu'il a menées avec + Mechanical Turk étaient pleines de réponses ab- +surdes aux questions ouvertes. Il a retracé les +mauvaises réponses et a découvert qu'elles avaient +été soumises par des répondants ayant des coordon- + nées GPS en double. Cela a suscité des soupçons. + Bien qu'Amazon interdise explicitement aux robots + d'effectuer des travaux sur Mechanical Turk, l'en- + treprise ne publie pas les problèmes qu'ils + causent sur sa plate-forme. Les forums pour 'tur- + kers' sont pleins de conversations sur l'automati- + sation du travail, le partage de pratiques sur la + façon de créer des robots qui transgresseraient + les termes d'Amazon. Vous pouvez également trouver + + 26 +informants inform informants inform informants inform informants inform informants inform info +mants inform informants inform informants inform informants inform informants i +form informants inform informants inform informants inform info +mants inform informants inform informants inform informants info +m informants inform informants inform informants inform + informants inform informants inform informants +inform informants inform informants inform + informants inform informants inform informants info +m informants inform informants inform + informants inform informants inform + informants inform informants inform in +ormants inform informants inform infor +ants inform informants inform info +mants inform informants inform +informants inform informants inform + informants inform informants inform + informants inform informants inform + informants inform infor +ants inform informants inform + informants inform informants inform + informants inform + informants inform informants inform + informants inform +informants inform informants inform + informants inform + informants inform informants inform + informants inform + informants inform informants +inform informants inform + informants inform + informants inform informants +inform informants inform + informants inform + informants inform + informants inform informants info +m informants inform + informants inform + informants inform + informants inform + informants inform informants +inform informants inform + informants inform + informants inform + informants inform + informants inform + informants inform + informants inform + informants inform + informants inform + informants inform +informants inform in +ormants inform info +mants inform infor +ants inform infor +ants inform info +mants inform in +ormants inform +informants inform + informants inform + informants inform + informants inform + informants inform + informants inform + informants inform + informants inform + informants inform + informants inform + informants inform + informants inform + 27 + i l e a3 r a 4rmo 24c +-+-+-+-+-+-+-+-+-+-+ s + +-+-+-+-+-+-+ ny. 2 h n s i l 7 s é n9r- + pc- , 92é né e r | |i|n|f|o|r|m|a|n|t|s| |i|n|f|o|r|m| 5 e 3 2| a m l + m r r + em ‘7r i,e e c én +-+-+-+-+-+-+-+-+-+-+ , +-+-+-+-+-+-+ 3 is o fIc éT o 8 ne3é3e- + t mm i 4e G 6 o i s 3 4ui t 3r -r é 8 m r ri r _ di453 f d c e u i-_tm- o | e n+ 9e + L u8 S n 9 r+seu 2 3 5 Ce m e 8u,é 9 r 2 9 u s l u 2e sm6èr rol6u r d eo s3+ e r + j . e 51i é d +-+-+-+-+ +-+-+-+-+-+-+-+ r +-+-+-+-+-+-+-+-+ +-+-+-+-+-+-+-+-+-+ 7 p p i ae + m oi 6 96r5ol h5 0 |e|a|c|h| |d|a|t|a|s|e|t| |c|o|l|l|e|c|t|s| |d|i|f|f|e|r|e|n|t| p l o e + 1 l i% m 1 - im t +-+-+-+-+ +-+-+-+-+-+-+-+ t +-+-+-+-+-+-+-+-+ +-+-+-+-+-+-+-+-+-+ s lbai s / _t + P`ncr 3 wd _ tq% i c_ c ie3 a n-i +-+-+-+-+-+-+-+-+-+-+-+ +-+-+-+-+-+ _ 1 îtC toi ne + i p rm l l _ + 4 nn2 fi n e é d c\ _ |i|n|f|o|r|m|a|t|i|o|n| |a|b|o|u|t| ol t rm s8n + e \ om| - o i e o % a 8 é6 t ti5sv +-+-+-+-+-+-+-+-+-+-+-+ +-+-+-+-+-+ te r1is e + ri4l 2 sé n-t hn 1 m6tl-d5 4 _l sb +-+-+-+ +-+-+-+-+-+ a ori q 5l z8 + o he w+ a 6 1 t oo3| b l eu |t|h|e| |w|o|r|l|d| i p y e sg j_ + d a i - -tse f1 s n14 nl + r 0 r - +-+-+-+ +-+-+-+-+-+ m r_ rl D r o t s + 3 ln i s lqe a rui +-+-+-+-+-+-+-+-+ a lr +-+-+-+ +-+-+-+-+-+-+ +-+-+-+-+ i _ a2 + wo 7 3 6 n ,s c i - |d|a|t|a|s|e|t|s| |a|r|e| |i|m|b|u|e|d| |w|i|t|h| s e e ae i 3 + i 6 h %2l p 8w d5l +-+-+-+-+-+-+-+-+ +-+-+-+ +-+-+-+-+-+-+ +-+-+-+-+ e x r s e u + . é r g ta n o 3 f n 5 u +-+-+-+-+-+-+-+-+-+-+-+ +-+-+-+-+ _ r 2 a 8 s o + d n + n r 9 a 1 e e i 5d |c|o|l|l|e|c|t|o|r|'|s| |b|i|a|s| u 886 u o + n t ae s1si mn42c e %tt 76 l 4 r é +-+-+-+-+-+-+-+-+-+-+-+ +-+-+-+-+ | de 1m tt37 r + s e 8e e +-+-+-+-+ +-+-+-+-+-+-+-+-+ o r( +-+-+-+-+-+-+-+ +-+-+-+-+-+-+-+-+ s 9 t + s h s_9 1 L |s|o|m|e| |d|a|t|a|s|e|t|s| |c|o|m|b|i|n|e| |m|a|c|h|i|n|i|c| 74 v 7 + m n c p| ? +-+-+-+-+ +-+-+-+-+-+-+-+-+ u +-+-+-+-+-+-+-+ +-+-+-+-+-+-+-+-+ 1 à r 3u d p + i vc3n i aciéé e ’ e r 5 +| c/a aq +-+-+-+-+-+ +-+-+-+-+ +-+-+-+-+-+ + o 7 r + % r n o +er u ow i 3 n |l|o|g|i|c| |w|i|t|h| |h|u|m|a|n| a ls + au r, o t s - 7rV t % s e +-+-+-+-+-+ +-+-+-+-+ +-+-+-+-+-+ e0 m n + W r4 s - e 0 12 a r 6 nt | +-+-+-+-+-+ , sse r 1 | i + p f i 1u 5 i1 a r o + se |l|o|g|i|c| 5 ls c p d \ + e ee l e q a s es rn c +-+-+-+-+-+ | t _ \ o + e ie % c +-+-+-+-+-+-+ +-+-+-+-+ e w 7 8 + i ,_ jtl |m|o|d|e|l|s| |t|h|a|t| s p a i Sér é u e , 9 s + 5- r6 p r o +-+-+-+-+-+-+ +-+-+-+-+ o 7 99 97/ | us q +o 1 0 d s i +-+-+-+-+-+-+-+ i 3 e e aê p i m e t + r h é em o 1 |r|e|q|u|i|r|e| c 9r 1e t p t + e p c %o 8 h +-+-+-+-+-+-+-+ ' f 4 é5 u a 9 s B + -c s i 5 +-+-+-+-+-+-+-+-+-+-+-+ r +-+-+-+-+-+-+-+-+ +-+-+-+ e + r u3 ts t l |s|u|p|e|r|v|i|s|i|o|n| |p |m|u|l|t|i|p|l|y| |t|h|e| b le s u 5 p r + h | +-+-+-+-+-+-+-+-+-+-+-+ +-+-+-+-+-+-+-+-+ +-+-+-+ t u en o + o e 5 m a - e u h 6 +-+-+-+-+-+-+-+-+-+-+-+-+-+-+ i e q + n cc r \ n 9 |s|u|b|j|e|c|t|i|v|i|t|i|e|s| 8 _ e 7 s + cU f s n ô e +-+-+-+-+-+-+-+-+-+-+-+-+-+-+ 3 5 i t | + e e grr s sd +-+-+-+-+-+-+ +-+-+-+-+-+-+-+-+-+ +-+-+-+-+ - la o + e +m r 4 8 |m|o|d|e|l|s| c |p|r|o|p|a|g|a|t|e| |w|h|a|t| + .e - \ o +-+-+-+-+-+-+ 5 +-+-+-+-+-+-+-+-+-+ +-+-+-+-+ m l 6 t + 1 pv l _ sr +-+-+-+-+-+-+-+ +-+-+-+-+ V + m % v |t|h|e|y|'|v|e| |b|e|e|n| r 3 e ’ c e + i u 1 t t a +-+-+-+-+-+-+-+ +-+-+-+-+ cf 4 r q s + 9 es e 8 o g g t +-+-+-+-+-+-+ r t e + 7 _ - o 3 l 9 d |t|a|u|g|h|t| t 9 5u q|u p + 2 ne 7 n g +-+-+-+-+-+-+ - 0 + 1 u +-+-+-+-+ +-+-+ +-+-+-+ r e X u 7 é + 9 a ' é |s|o|m|e| |o|f| |t|h|e| 2 a | +e u p +-+-+-+-+ +-+-+ +-+-+-+ t 1 1 e + 2 s e +-+-+-+-+-+-+-+-+ +-+-+-+-+ +-+-+ +-+-+-+-+-+-+-+ +-+-+ + u _ |d|a|t|a|s|e|t|s| |p|a|s|s| |a|s| |d|e|f|a|u|l|t| |i|n| + l 4 f p i +-+-+-+-+-+-+-+-+ +-+-+-+-+ +-+-+ +-+-+-+-+-+-+-+ +-+-+ t + oc e d 6 t +-+-+-+ +-+-+-+-+-+-+-+ 1 5 + 2 pi |t|h|e| |m|a|c|h|i|n|e| 6 e d + I ,7 p +-+-+-+ +-+-+-+-+-+-+-+ l A + _ 4n s +-+-+-+-+-+-+-+-+ +-+-+-+-+-+ a + r p m D |l|e|a|r|n|i|n|g| |f|i|e|l|d| n + é m e o r _ t +-+-+-+-+-+-+-+-+ +-+-+-+-+-+ n é + s , +-+-+-+-+-+-+ p +-+-+-+-+-+ +-+-+-+-+-+-+-+-+ h + 8 t d |h|u|m|a|n|s| |g|u|i|d|e| |m|a|c|h|i|n|e|s| c t + a mo 1 +-+-+-+-+-+-+ +-+-+-+-+-+ +-+-+-+-+-+-+-+-+ i + r i . g | c Q b 7 + o 3 8 ê o | p è t e + ar 8 e 8 n 7 9 e o o a + + 28 + V % V % V V V % V V V %% % % % % % % %%% % % % + V V V V V V V V V V V V V V V V % 0 % %% % % % 0 % % +V V V V V V % V V V % 0 0 0 % % % 0 %% % 0 % % % + % % %%% % % % % 00 % 0 0 _ _ 0 % % %% + % % %% % % % % % /\ /\ _ __ ___ ___| |_| |__ _ __ 0 ___ % + % INFORMATEURS % % % / / \ \ '_ \ / _ \ / _ \ __| '_ \| '_ \ / _ \ % ____ + % % \ \_/ / | | | __/ | __/ |_| | | | | | | (_) | /___/ % + % % % % \___/|_| |_|\___| \___|\__|_| |_|_| |_|\___/ + V V V V % V % V V V % + V V V V V V V V V V V V V V V V % 0 0 _ _ _ % % +V V V V V V V V V __ _ _ __ __ _ _ __ | |__ (_) ___ __| | ___ ___ % + V V V V V V V V / _` | '__/ _` | '_ \| '_ \| |/ _ \ / _` |/ _ \/ __| + V V V V V V V V V V V V V V V V | (_| | | | (_| | |_) | | | | | __/ | (_| | __/\__ \ % +V V V V V V V V V \__, | _| \__,_| .__/|_| |_|_|\___| \__,_|\___||___/ + % |___/ |_| % 0 % 0 +Les algorithmes d'apprentissage au- 0 0 _ 0 _ 0 +tomatique ont besoin d'être guidés, (_) ___ _ ___ __ __| | ___ +qu'ils soient supervisés ou non. 0 | |/ _ \ | | \ \/ / / _` |/ _ \ % % % % +Pour séparer une chose d'une autre, 000 | | __/ |_| |> < | (_| | __/ 0 % +ils ont besoin de matériel pour en 0 _/ |\___|\__,_/_/\_\ \__,_|\___| +extraire des motifs. L'être humain % 0 |__/ 0 +doit choisir avec soin le matériel % _ __ 0 +d'étude, adapté à la tâche de la % 0 __| | ___ _ __ _ __ _/_/ ___ ___ 0 % +machine. Il n'est pas logique d'en- / _` |/ _ \| '_ \| '_ \ / _ \/ _ \/ __| +traîner une machine avec des romans % 0 | (_| | (_) | | | | | | | __/ __/\__ \ +du 19ème siècle si sa mission est \__,_|\___/|_| |_|_| |_|\___|\___||___/ +d'analyser des Tweets. % 0 % 0 0 0 % + +C'est là qu'interviennent les jeux par Algolit +de données : organisés en rangés et +en colonnes ordonnées, en attente Lors des réunions mensuelles Algolit nous cherchons ou créons +d'être lus par la machine. Chaque souvent des jeux de données. Parfois, nous utilisons des corpus +jeu de données recueille des infor- déjà existants, disponibles via le site Natural Language Toolkit +mations différentes sur le monde. nltk. NLTK contient, entre autres, la Déclaration universelle des +Comme toutes les collections, elles droits de l'Homme, les discours inauguraux des présidents améri- +sont imprégnées des stéréotypes et cains, ou des critiques de films du site Internet Movie Database +préjugés de ses créateurs. On en- (IMDb). +tend souvent l’expression : 'les +données sont le nouveau pétrole'. Chaque style d'écriture évoque des relations différentes entre +Si seulement les données étaient du les mots et reflète l'époque dont ils proviennent. En ce sens, le +pétrole ! Fuyantes, s’égouttant en gestionnaire de paquets Python pour le traitement du langage na- +graisse lourde, bouillonnantes et turel pourrait être considéré comme une capsule temporelle. Le +tressaillantes au contact d'une % matériel inclu a été sélectionné car jugé utile par une communau- +nouvelle matière. Au contraire, les té de chercheurs. Malgré les spécificités, chaque jeu de données +données sont supposées d'être devient universel par défaut, en étant à la disposition d'un pu- +propres. Lors de chaque processus, blic aussi large. +chaque questionnaire, chaque titre +de colonne, elles s’épurent, en ef- Nous examinons les jeux de données les plus couramment utilisés +façant peu à peu leurs caractéris- pour l'entraînement des modèles d'apprentissage automatique. De +tiques distinctes jusqu’à corres- quels matériaux sont-ils constitués ? Qui les a recueillis ? +pondre au moule du jeu de données. Quand ? + +Certains jeux de données combinent --- +la logique machinique avec la lo- +gique humaine. Les modèles qui né- Concept, réalisation: Cristina Cochior +cessitent une supervision multi- % +plient les subjectivités des col- % +lecteurs de données et des annota- +teurs, puis propulsent et propagent +ce qui leur a été enseigné. Vous +découvrirez des extraits de cer- +tains jeux de données qui passent +par défaut dans le domaine de l'ap- +prentissage automatique, ainsi que +des histoires d'humains guidant des +machines. + + + + 29 + 0 0 0 0 0 + ___ 0 _ 0 0 _ _ + / ( ) /_\ _ __ _ __ ___ | |_ __ _| |_ ___ _ _ _ __ + 0 / /|/ //_\\| '_ \| '_ \ / _ \| __/ _` | __/ _ \| | | | '__| 0 + / /___/ _ \ | | | | | | (_) | || (_| | || __/| |_| | | + 0 \____/\_/ \_/_| |_|_| |_|\___/ \__\__,_|\__\___| \__,_|_| + 0 0 +%% % % % % % % % % % %% % 0 % 0 % % % % 0 % %% % % + % % % %% % % % par Algolit % %% %% % % % 0 + % % % % % % % %% %%% % % % + % %% %% % % %% % % L'Annotateur demande au visiteur de l'aider à annoter les archives + % % % % %% du Mundaneum. %% %% % % % % % % + % % % % % % % % + % Le processus d'annotation est une étape cruciale de l'apprentis- % + % sage automatique supervisé où l'algorithme reçoit des exemples de + % ce qu'il doit apprendre. Un filtre anti-spam sera alimenté + % d'exemples de spam et de messages réels. Ces exemples sont des + % % entrées du jeu de données prévues d'une étiquette, spam ou non spam. + % % + % % % L'annotation d'un jeu de données est un travail exécuté par des + humains, qui choisissent une étiquette pour chaque entrée du jeu + % de données. Pour assurer la qualité des étiquettes, plusieurs an- + notateurs doivent voir la même entrée et donner la même étiquette + avant qu'un exemple ne soit inclus dans les données d'entraîne- + ment. Une fois que toutes les données d'entraînement ont été pré- + vues d'une étiquette, l'ordinateur peut lancer le processus d'ap- + % % prentissage. % + % + Dans cette interface, nous vous demandons de nous aider à classer + % les textes nettoyés des archives du Mundaneum afin d'élargir + notre set d’entraînement et d'améliorer la qualité de l'installa- + % tion 'Classer le Monde' dans Oracles. + + --- + + Concept, code, interface : Gijs de Heij + + + 0 0 0 + 0 0 0 + 0 _ ___ ___ ___ 0 + % 0 0 / |/ _ \ / _ \ / _ \ 0 + 0 0 0 0 | | | | | | | | | | | 0 0 + % 00 0 | | |_| | |_| | |_| | + 0 |_|\___/ \___/ \___/ 0 + 0 % 0 0 _ + 0 ___ _ _ _ __ ___ ___| |_ ___ 0 + 0 / __| | | | '_ \/ __|/ _ \ __/ __| + \__ \ |_| | | | \__ \ __/ |_\__ \ + |___/\__, |_| |_|___/\___|\__|___/ + 0 0 |___/ 0 + 0 0 0 0 + + % par Algolit + + Wordnet, créé en 1985, est une taxonomie hiérarchique qui décrit + % le monde. Elle s'inspire des théories de la mémoire sémantique + humaine développées à la fin des années 1960. Les noms, verbes, + adjectifs et adverbes sont regroupés en collections de synonymes + ou 'synsets', prévues de définitions, hypernymes, hyponymes, .... + Chaque synset exprime des concepts différents. ImageNet est un + jeu de données d'images basé sur la hiérarchie des noms de + WordNet 3.0. Chaque synset est représenté par des milliers + d'images. De 2010 à 2017, le Défi de Reconnaissance Visuelle de + ImageNet (ILSVRC) a été une référence clé dans la classification + des catégories d'objets pour les photos, ayant un impact majeur + sur les logiciels de photographie, les recherches d'images, la + reconnaissance d'images. + + 30 + 1000 synsets (édition vinyle) contient les 1000 synsets utilisés + dans ImageNet, enregistrés dans la meilleure qualité sonore que + ce format analogique permet. Ce travail souligne l'importance des + jeux de données utilisés pour former des modèles d'intelligence + artificielle qui fonctionnent sur des appareils que nous utili- + sons quotidiennement. Certains d'entre eux héritent de classifi- + %% % %% %%% % % % cations qui ont été conçues il y a plus de 30 ans. Le vinyle est + % % %%% % % % une invitation à les analyser en profondeur. % % %% % % % + % % % % % % % % % % % % % % % % % + % % % % % % % % --- % % % % % % % % + %% % % % % %% % % % % % + % % % Conception et enregistrement: Javier Lloret % % % + % %% % %% % %%% % + % % % Voix: Sara Hamadeh & Joseph Hughes % % + % % % % % + % % % % % % + 0 % 0 % % + 0 % 0 0 % + 0 0 ____ _ % 00 + % 0 0 /___ \_ _(_) 0 + 0 // / / | | | | % % + 0 / \_/ /| |_| | | 0 + % % 0 0 % 0 % \___,_\ \__,_|_| + % 0 0 _ _ 0 0 _ + | ( )__ _ __ ___ _ __ ___ _ __| |_ ___ + | |/ _ \ '_ ` _ \| '_ \ / _ \| '__| __/ _ \ + % | | __/ | | | | | |_) | (_) | | | || __/ 0 + |_|\___|_| |_| |_| .__/ \___/|_| \__\___| + |_| 0 0 0 0 + 0 0 0 % + % + % Qui l'emporte: rapport de création % + + par Louise Dekeuleneer, étudiante Arts²/Option Communication Vi- + suelle + % % + Le français est une langue genrée, en effet beaucoup de mots sont + féminins ou masculins et peu sont neutres. Le but de ce projet + % est de montrer qu'une société patriarcale influence aussi la + langue même. Le travail s'est focalisé sur le fait de montrer si + plus de mots féminins ou masculins sont utilisés et de mettre en + valeur l'influence du contexte sur le genre des mots. À ce stade, + aucune conclusion n'est encore tirée.  + % % + Des textes de loi datant de 1900 à 1910 mis à disposition par le + Mundaneum sont passés dans un algorithme qui fait du texte une + liste de mots. Ces mots sont alors comparés avec une autre liste + de mots francophones, dans laquelle il est spécifié si le mot est + masculin ou féminin. Cette liste de mots provient de Google + Books, qui a créé en 2012 une énorme base de données à partir de + tous les livres scannés et disponibles sur Google Books. + Les mots masculins sont surlignés d'une couleur et les féminins + d'une autre. Les mots qui ne sont pas genrés (adverbes, verbes, + ...) ne sont pas surlignés. Le tout est enregistré en fichier + HTML pour qu'il puisse être directement ouvert dans une page web + et imprimé sans besoin de mise en page supplémentaire. C'est ain- + si que chaque texte a pu devenir un petit livret en changeant + % juste le texte d'entrée de l'algorithme. + + + + + + + + + + + + 31 + RÉCITS CONTEXTUALISÉS + AUTOUR DES INFORMATEURS + + + + --- Les jeux de données comme représentations --- Il était à Bruxelles en novembre 2017 lors de la + Rencontre Algolittéraire. + Les processus de collecte des données qui mènent à + la création du jeu de données soulèvent des ques- Femke : En considérant Wikipedia comme une commu- + tions importantes : qui est l'auteur des données ? nauté vivante, chaque nouvelle page change le pro- + Qui a le privilège de collectionner ? Pour quelle jet. Chaque modification est en quelque sorte une + raison la sélection a-t-elle été faite ? Que contribution à un organisme vivant de la connais- +manque-t-il ? sance. Donc, si au sein de cette communauté vous + essayez de distinguer ce qui rend service à la +L'artiste Mimi Onuoha donne un exemple excellent communauté et de généraliser ceci dans un modèle – + de l'importance des stratégies de collection. Elle car je pense que c'est ce que l'algorithme de la + choisit le cas des statistiques relatives aux bonne ou mauvaise foi essaie de faire - vous le + crimes haineux. En 2012, le Programme de déclara- faites sur base d'une généralisation de l'idée + tion uniforme de la criminalité (DUC) du FBI a en- abstraite de Wikipedia, et non sur base de l'orga- + registré 5 796 crimes haineux. Toutefois, le Bu- nisme vivant. Ce qui m'intéresse dans la relation + entre le vandalisme et ce débat, c'est la façon + a établi 293 800 rapports sur de tels cas. C'est dont nous pouvons comprendre la dynamique conven- + plus de 50 fois plus. La différence entre les tionnelle de ces processus d'apprentissage automa- + chiffres peut s'expliquer par la façon dont les tique. Si on distingue la bonne ou la mauvaise foi + données ont été recueillies. Dans le premier cas, sur base d’étiquettes préexistantes et qu’on la + les organismes d'application de la loi de tout le reproduit ensuite dans des modèles algorithmiques, +pays ont volontairement signalé des cas. Pour le comment tenir compte des changements qui se pro- +deuxième, le Bureau des statistiques a distribué duisent, c’est-à-dire de la vie réelle du projet? +l'enquête nationale sur la victimisation directe- + ment aux foyers des victimes de crimes motivés Amir : C'est une discussion intéressante. Premiè- + par la haine. rement, ce que nous appelons la bonne ou la mau- + vaise foi provient de la communauté elle-même; + Dans le domaine du traitement du langage naturel, nous ne faisons pas l'annotation nous-mêmes, c’est + le matériel avec lequel les modèles d'apprentis- la communauté qui le fait. Ainsi, dans beaucoup de + sage automatique travaillent est le texte, mais Wikipedias de langues différentes, la définition + les mêmes questions se posent : qui sont les au- de ce qui est la bonne ou la mauvaise foi sera + teurs des textes qui composent les jeux de don- différente. Wikimedia essaie de refléter ce qui se + nées ? Au cours de quelle période les données ont- trouve à l'intérieur de l'organisme et non de + elles été recueillies ? Quel type de vision du changer l'organisme lui-même. Si l'organisme + monde représentent-elles ? change et que nous constatons que la définition de + la bonne foi à Wikipédia a été modifié, nous met- +En 2017, l'algorithme Top Stories de Google a pla- tons en œuvre cette boucle de rétroaction qui per- +cé un fil de discussion trompeur du site 4chan en met aux gens de porter un jugement sur leurs modi- + haut de la page de résultats lors de la recherche fications à l'intérieur de leur communauté. S'ils + du tireur de Las Vegas. Le nom et le portrait sont en désaccord avec l'annotation, nous pouvons + d'une personne innocente étaient liés au crime. revenir au modèle et modifier l'algorithme pour + Bien que Google ait changé son algorithme quelques refléter ce changement. C'est une sorte de boucle + heures seulement après que l'erreur ait été décou- fermée : vous changez les choses et si quelqu'un + verte, cela a sérieusement affecté la personne. voit qu'il y a un problème, il nous le dit et nous + Une autre question persiste : pourquoi Google n'a- pouvons modifier l'algorithme. C'est un projet en + t-il pas exclu le site de ragôts 4chan du jeu des cours. + données d'entraînement ? + Référence : https://gitlab.constantvzw.org/algolit/ + Références : algolit/blob/master/algoliterary_encounter/ + Interview%20with%20Amir/AS.aac +https://points.datasociety.net/the-point-of- +collection-8ee44ad7c2fa + --- Comment faire connaître + https://arstechnica.com/information-technology/ votre jeu de données --- + 2017/10/google-admits-citing-4chan-to-spread- + fake-vegas-shooter-news/ NLTK signifie Natural Language Toolkit. Pour les + programmeurs qui traitent le langage naturel avec + Python, c'est une bibliothèque essentielle. De + --- L'annotation pour un Oracle nombreux rédacteurs de tutoriels recommandent aux + qui détecte le vandalisme sur Wikipédia --- programmeurs d'apprentissage automatique de com- + mencer par les jeux de données NLTK intégrés. Il + Ce fragment est extrait d'une interview avec Amir compte 71 collections différentes, avec un total + Sarabadani, ingénieur de logiciels chez Wikimedia. de près de 6000 éléments. + + 32 + + + + + + Parmi eux, on trouve le corpus Movie Review pour plement sensationnels : bary pepper , adam gold- + l'analyse des sentiments. Ou le corpus Brown, qui berg , vin diesel , giovanni ribisi , davies et + a été créé dans les années 1960 par Henry Kučera burns . le film se clôture avec des scènes de ba- + et W. Nelson Francis à l'Université Brown de Rhode taille extraordinaires . + Island. Il y a aussi le corpus de la Déclaration + des droits de l'homme, qui est couramment utilisé + pour vérifier si un code peut fonctionner dans --- Les ouroboros de l'apprentissage automatique --- + plusieures langues. Le corpus contient la Déclara- + tion des droits de l'homme dans 372 langues du Wikipédia est devenue une source d'apprentissage + monde entier. non seulement pour les humains, mais aussi pour + les machines. Ses articles sont des sources de +Mais quel est le processus pour faire accepter un premier ordre pour l’entraînement de modèles. Le +jeu de données dans la bibliothèque NLTK de nos matériel avec lequel les machines sont entraînées + jours ? Sur la page Github, l'équipe nltk décrit est identique au contenu qu'elles ont aidé à + les exigences suivantes : écrire. En fait, au début de Wikipédia, de nom- + breux articles ont été écrits par des robots. Ram- + - Ne rajoutez que les corpus qui ont obtenu un ni- bot, par exemple, était un robot controversé sur + veau de notabilité de base. Cela signifie qu'il la plateforme anglophone. Il est l'auteur de 98% + existe une publication qui le décrit et une commu- des pages décrivant les villes américaines. + nauté de programmeurs qui l'utilisent. + A cause de ces interventions de robots thématiques + - Assurez-vous d'avoir l'autorisation de redistri- et régulières, les modèles de prédiction qui sont + buer les données et de pouvoir les documenter. Ce- entraînés sur le dump de Wikipedia ont une vision + la signifie qu'il est préférable de publier le jeu unique de la composition des articles. Par exem- +de données sur un site Web externe avec une li- ple, un modèle thématique entraîné sur l'ensemble +cence. des articles de Wikipédia associe 'rivière' à + 'Roumanie' et 'village' à 'Turquie'. C'est parce + - Utilisez les lecteurs de corpus NLTK existants qu'il y a plus de 10000 pages écrites sur les vil- + lorsque c'est possible, ou bien apportez un lec- lages en Turquie. Cela devrait suffire à susciter + teur de corpus bien documenté à NLTK. Cela signi- des envies de voyage, mais c'est bien trop par + fie que vous devez organiser vos données de ma- rapport à d'autres pays. L'asymétrie provoque une + nière à ce qu'elles puissent être facilement lues fausse corrélation et doit être corrigée. La plu- + à l'aide du code NLTK. part des modèles tentent d'exclure le travail de + ces auteurs robots prolifiques. + Référence : http://www.nltk.org/ + Référence : https://blog.lateral.io/2015/06/the- + unknown-perils-of-mining-wikipedia/ + --- Extrait d'une critique positive d'un film IMdB +du jeu de données NLTK --- + +corpus : movie_reviews + + fichier : pos/cv998_14111.txt + + le deuxième film épique de steven spielberg sur la + seconde guerre mondiale est un chef-d'œuvre incon- + testé du cinéma . spielberg , encore étudiant en + cinéma , a réussi à ressusciter le genre de la + guerre en produisant l'un de ses films les plus + poignants et les plus puissants . il a également + réussi à faire briller tom hanks , qui livre une + performance époustouflante . pendant environ 160 +de ses 170 minutes, ' sauver le soldat ryan ' est +sans faille . littéralement . l ' histoire est as- +sez simple . après l ' invasion du jour J ( dont + les séquences sont tout à fait spectaculaires ), + capt . john miller ( joué par tom hanks ) et son + équipe sont forcés à chercher un soldat . james + ryan ( joué par matt damon ), dont les frères sont + tous morts au combat. une fois qu ' ils l ' ont + trouvé , ils doivent le ramener immédiatement pour + qu'il puisse rentrer chez lui . la compagnie de + miller est composée d ' acteurs aux jeux tout sim- + + 33 +0 12 3 4 5 67 8 9 0 + 12 3 4 5 67 8 9 0 12 + 3 4 5 67 8 9 0 1 2 + 3 4 5 6 7 8 9 0 1 2 3 + 4 56 7 8 9 01 2 3 + 4 56 7 8 9 01 2 3 + 4 56 7 8 9 01 2 3 + 4 56 7 8 9 0 1 2 3 4 + 5 6 7 8 9 0 1 2 3 45 6 + 7 8 90 1 2 3 45 6 + 7 8 90 1 2 3 45 6 + 7 8 90 1 2 3 4 5 6 + 7 8 9 0 1 2 3 4 5 6 + 7 89 0 1 2 34 5 6 + 7 89 0 1 2 34 5 6 + 7 89 0 1 2 34 5 6 7 +89 0 1 2 3 4 5 6 7 8 9 + 0 1 2 3 4 5 6 78 9 + 0 1 23 4 5 6 78 9 0 + 1 23 4 5 6 78 9 0 + 1 23 4 5 6 78 9 0 + 1 2 3 4 5 6 7 8 9 0 + 1 2 3 4 5 67 8 9 0 12 + 3 4 5 67 8 9 0 12 + 3 4 5 67 8 9 0 12 3 + 4 5 6 7 8 9 0 1 2 3 + 4 5 6 7 8 9 01 2 3 + 4 56 7 8 9 01 2 3 + 4 56 7 8 9 01 2 3 + 4 56 7 8 9 01 2 3 4 + 5 6 7 8 9 0 1 2 3 4 5 6 + 7 8 90 1 2 3 45 6 + 7 8 90 1 2 3 45 6 + 7 8 90 1 2 3 45 6 + 7 8 90 1 2 3 4 5 6 7 + 8 9 0 1 2 3 4 5 6 7 + 89 0 1 2 34 5 6 7 +89 0 1 2 34 5 6 7 89 + 0 1 2 34 5 6 7 8 9 + 0 1 2 3 4 5 6 7 8 9 +0 1 23 4 5 6 78 9 0 + 1 23 4 5 6 78 9 0 + 1 23 4 5 6 78 9 0 + 1 23 4 5 6 7 8 9 0 + 1 2 3 4 5 6 7 8 9 0 12 3 + 4 5 67 8 9 0 12 3 + 4 5 67 8 9 0 12 3 + 4 5 67 8 9 0 12 3 + 4 5 6 7 8 9 0 1 2 3 + 4 5 6 7 8 9 01 2 3 4 + 56 7 8 9 01 2 3 4 + 56 7 8 9 01 2 3 4 5 +6 7 8 9 0 1 2 3 4 5 6 + 7 8 9 0 1 2 3 45 6 + 7 8 90 1 2 3 45 6 + 7 8 90 1 2 3 45 6 +7 8 90 1 2 3 45 6 7 + 8 9 0 1 2 3 4 5 6 7 + 8 9 0 1 2 34 5 6 7 89 + 0 1 2 34 5 6 7 89 0 + 1 2 34 5 6 7 89 0 + 1 2 34 5 6 7 8 9 0 + 1 2 3 4 5 6 7 8 9 0 + 1 23 4 5 6 78 9 0 + 1 23 4 5 6 78 9 0 + 1 23 4 5 6 78 9 0 1 + 2 3 4 5 6 7 8 9 0 1 2 3 + 4 5 67 8 9 0 12 3 + 4 5 67 8 9 0 12 3 + 34 +readers read readers read readers read readers read readers read readers read readers re +d readers read readers read readers read readers read readers re +d readers read readers read readers read readers read + readers read readers read readers read re +ders read readers read readers read readers re +d readers read readers read readers r +ad readers read readers read +readers read readers read readers read + readers read readers read +readers read readers read readers read + readers read readers read + readers read readers read + readers read readers read + readers read readers read + readers read readers read + readers read readers read + readers read readers +read readers read + readers read readers read + readers read readers read + readers read + readers read readers read + readers read + readers read readers read + readers read + readers read readers read + readers read + readers read readers re +d readers read + readers read + readers read readers read + readers read + readers read + readers read re +ders read readers read + readers read + readers read + readers read + readers read readers r +ad readers read + readers read + readers read + readers read + readers read + readers read + readers read +readers read readers +read readers read + readers read + readers read + readers read + readers read + readers read + readers read + readers read + readers read + readers read + readers read + readers read + readers read + readers read + readers read + readers read + readers read + readers read + readers read + readers read + readers read + readers read r + 35 + 9 nl i 5 ' r c +-+-+-+-+-+-+-+ a +-+-+-+-+ -o on an r e c coeun b 9 em t + -rm6 n r r 5ui rt s r ar |r|e|a|d|e|r|s| mg |r|e|a|d| s-dn + 1 tm n u7| 1eo+ iuae3Mii+u e3 l + i e t e t % c_ | 5l +-+-+-+-+-+-+-+ qc +-+-+-+-+ nem e ic-7- r o + g  i_ 6é +1 4i + c s r74 ss a_ 9é- S t 8ra | 3 tl nr , mmr 6 i1 8 + 4'99 m u a t7% s_, + é 2 8 un e 8/n 2m c5 2nsr u 0 2t ) 6 v 5 lu6je_r a \ r su r5 9 sdaur o eu h p + r 3 e tes 7ei I t% 9 +-+ +-+-+-+-+-+-+-+-+ | +-+-+-+-+-+-+-+-+-+-+-+ 6 | /s l3 e pu5 n e + 47 Mr t rd l ' + n 3 |a| |c|o|m|p|u|t|e|r| u |u|n|d|e|r|s|t|a|n|d|s| +- c 7r s ph r o6 9a + do 1 2² 1 | +-+ +-+-+-+-+-+-+-+-+ 5 +-+-+-+-+-+-+-+-+-+-+-+ e n s nse tk l â0 ’ é| + d é. s ees e n +-+-+-+ +-+-+-+-+-+-+ tLo +-+-+-+-+-+-+-+-+-+ Cnr1 5l _ rUt g od + 17 s8 | s 9 8+ 7 |a|l|l| |m|o|d|e|l|s| u |t|r|a|n|s|l|a|t|e| % s _ a n t 2 ,- r rer + u1a1 p et _ |n s 9_l1 u +-+-+-+ +-+-+-+-+-+-+ % +-+-+-+-+-+-+-+-+-+ w ae m ssI |o i um.i é|r + sarpé u m ou_ | , o +-+-+-+-+ +-+-+-+-+-+-+ r l +-+-+-+-+-+ 1hff 0 g M l a 5 ,7 |y + s Sr c r xàd 5 e |s|o|m|e| |m|o|d|e|l|s| f |c|o|u|n|t| 3nrpds6 eo a t i rn e c + 7 n + 1 V d eie e -5;d +-+-+-+-+ +-+-+-+-+-+-+ è +-+-+-+-+-+ l x n é r45er é -a i _ l 2 i o 61 + ’h e| et - 9 e\ +s +-+-+-+-+ +-+-+-+-+-+-+ We +-+-+-+-+-+-+-+ t s t s 5 2 i 1 | etu + +ld t er |s|o|m|e| |m|o|d|e|l|s| |r|e|p|l|a|c|e| s p e. _ r8ai 7 ss n - g s + nc ( - 1 e u. +-+-+-+-+ +-+-+-+-+-+-+ +-+-+-+-+-+-+-+ e h i\ S r_ e ie _ lés + aa% rnsl .7 ,a m 5 a p n 6 s 5 n e s 8 8 | 4 77 n i ttl a , + 6 t e o le r- oa e l3i _n e ws lo i i C a t66r r ses n2 5q 6 s e + 7 e nn s l 5 e s_ év r o e t +\p \ 7 2 it e 1 e 8 t % +. a ) e a ee8 emu r | eun t n s 8eel e o 9 p s eei e ee l + r 1 '6 ts teae 4 a , n n t 66 n o n e3o e èla en tu + , hw 8 18 + 6 5ée t i w rm x + 2 ç e td eu aen % +i n r 76 c 59u 4u ea + u 7 cse ise i oa m _ n o ) t g h 3 2 4 ll u 7l + à ad l a 64,F As9 m%s s f w8 ts t 3 s7m t a ndn h4 3 n + s t n + 4 |s6 6 1rr r n e d D r_1 - 33 2 \o 2 o r m5 s _5n 9ii a + 8i 4 465 _ i sé 1 2 s f r9 l e o j r1i e le 6 c t e p + V u t 7le s / 2 d 89 t 6r 2 , b r ht r p , 4lt e +, 1 3d s é - t 2 e u e oe . u u. s 7 e 3 + rdt i 4 n 4 8 n m p o l a 8 r 7 i w +n s V1 he ud T M| o a A n 4 5 u 5 c O ua h4 s e de + _7 c 3 a h n 8 5 u u , n ê p d n v u 9 + r i e i i 4 f | 7 c d d 8 s r + r +s m 8 v i 0 s , r - 5 5 r 1 e t + ' e d 3 6 nz - e et na 7 | n n s i aa s e s e + p t , + d r 0 2 a be / n id a gu % + c ' id 8e r m + s sv - c r _ ;u 7 i _ 6 % i s é a d e + a t tn i + l a r s à d 2 o 1 b _ t 7t e nn c + 7 en e a 1 s u é h 7q e i 39 me c 1 m + s é 0 9 u 4 l 1 e r 62 vs t k ne 6 ee + d a s 2 n e N r à | 4 9 s + de a a 4 1 3 o 7 r 4 9 + 6 , r u a t ' n m f es e c / e + m p 1 a8p k e , n e t _ 9 r t \ + s6 t wo _ u es 7 o 5 + r 8 u n _ 5 - 8 et p m V 2 r 3 e + . t + e ir \ c e , 5 pN + p l lp | _ as l e o 8 p + o b tu 8 m d 5 93 s8 c c s 4 . + s 6 5 9 0 et . d i + t p% 7 -i n e 1 + 4 r r m O l e , e u f a e4 v f + 7 é 6 9 6é | + l + a 0c n \ é \ 0u - e a + t u 3a ,, _ b +| a n o 1 9 o + uu - I e o 4 3 r r x à d + i V r 4 r ê 9 i u + o a o + ' c i 8 6 o + p % e s % c sn 8 e s + i 9 6 v se n l + i l 2g i n c / m a t + e + n i a _ r 93 + h i s + p 4 S d6 + 1 r és 3 3 % n ) c + l | i l d a R + 5m h i 6 n o 6 + m s p 6 e - t i + + 36 + V % V V V % V V V V %% % % % % % % % % % %% + V V V V V V V V V V V V V V V V % 0 % % %% % % % % % 0 %% % +V V V V V V V V % V % 0 __ _____ ___ _____ ___ ___ % % % + % % % % 0 0 / / ___ /__ \/ __\ % \_ \/ \/ __\ % % % + %% % LECTEURS % % % % / / / _ \ / /\/ _\____ / /\/ /\ / _\ % % + % 0 % / /__| __/ / / / /|_____/\/ /_/ /_// / % + %% % \____/\___| \/ \/ \____/___,'\/ % + V V V V V V V V % % % % % 0 % 0 0 + V V V V V V V V V V V V V V V V % % +V V V V % V V V V V par Algolit + V V V V V V V V % % % + V V V V V V V V V V V V V V V V Le TF-IDF (Term Frequency-Inverse Document Frequency) est une mé- +V V V V V V V V V thode de pondération utilisée dans la recherche de textes. Cette + mesure statistique permet d'évaluer l'importance d'un terme % +Nous communiquons avec les ordina- contenu dans un document, relativement à une collection ou un +teurs au moyens de langages. Nous corpus de documents. Le poids augmente proportionnellement au +cliquons sur des icônes sous forme % nombre d'occurrences du mot dans le document. Il varie également % +de mots, nous tapons des mots sur en fonction de la fréquence du mot dans le corpus. Le TF-IDF est +des claviers, nous utilisons notre notamment utilisé dans la classification des spams. +voix pour leur donner des instruc- +tions. Parfois, nous confions nos Une interface web met en scène cet algorithme à travers des ani- +pensées les plus intimes à notre mations permettant de comprendre les différentes étapes de clas- +ordinateur en oubliant qu'il s'agit sification d’un texte. Comment un programme basé sur le TF-IDF +d’une calculatrice avancée. Un or- lit un texte ? Comment transforme-t-il les mots en nombres ? +dinateur comprend chaque mot comme +une combinaison de zéros et de uns. --- +Une lettre est lue comme un numéro +ASCII spécifique : 'A' majuscule Concept, code, animation : Sarah Garcin +est 001. % + 00 0 +Dans tous les 'rule-based models', 0 0 ___ 0 _ _ 0 _ 0 0 +l'apprentissage automatique clas- / __\ _| | |_(_)_ _____ _ __ 0 +sique et les réseaux de neurones, 0 % / / | | | | | __| \ \ / / _ \ '__| +les mots subissent une traduction 0 / /__| |_| | | |_| |\ V / __/ | +en chiffres pour saisir le sens sé- \____/\__,_|_|\__|_| \_/ \___|_| 0 +mantique du langage. Cela se fait _ _ 0 % +en comptant. Certains modèles % _ _ _ __ /_\ _ __| |__ _ __ ___ % +comptent la fréquence des mots sim- 0 | | | | '_ \ //_\\| '__| '_ \| '__/ _ \ +ples, d'autres la fréquence des 0 | |_| | | | | / _ \ | | |_) | | | __/ +combinaisons de mots, d'autres en- \__,_|_| |_| \_/ \_/_| |_.__/|_| \___| +core la fréquence des noms, des ad- 0 0 % 0 0 +jectifs, des verbes ou des phrases +de noms et de verbes. Certains rem- par Algolit +placent simplement les mots d'un +texte par leur numéro d'index. Les % La nature de mots est une catégorie que nous apprenons à l'éco- +nombres optimisent la vitesse opé- le : nom, verbe, adjectif, adverbe, pronom, préposition, conjonc- +rationnelle des processus informa- tion, interjection, et parfois chiffre, article, ou déterminant. % +tiques, ce qui conduit à des pré- Dans le traitement du langage naturel, il existe de nombreux écrits +dictions rapides, mais ils sup- qui permettent d'analyser des phrases. Cela signifie que l'algorithme +priment aussi les liens symboliques peut déterminer la nature de chaque mot d'une même phrase. 'Cultiver +que les mots peuvent avoir. Nous un arbre' utilise cette technique pour définir tous les noms dans une +présentons ici quelques techniques phrase spécifique. Chaque nom est alors remplacé par sa définition. +destinées à rendre un texte intel- Cela permet à la phrase de grandir de façon autonome et infinie. La +ligible pour une machine. recette de 'Cultiver un arbre' s'inspire de la 'Littérature Définiti- + onnelle', une contrainte inventée par Marcel Benabou en 1966 au sein + de l’Oulipo. Dans une phrase donnée, on remplace chaque élément signi- + ficatif (nom, adjectif, verbe, adverbe) par l'une de ses définitions + dans un dictionnaire donné ; on répète l'opération sur la nouvelle + phrase reçue, et ainsi de suite. + + Le dictionnaire utilisé dans cet ouvrage est Wordnet. Wordnet est une + combinaison d'un dictionnaire et d'un thésaurus qui peut être lu par + des machines. Selon Wikipédia, il a été créé dans le Cognitive Science + Laboratory de l'Université de Princeton à partir de 1985. + + --- + + Concept, code & interface : An Mertens & Gijs de Heij + + 37 + % % % % % % % % % % % %% % % % % % % % + % % % % % % %% % % + % % % %% % % % + % % 0 % % % % 0 0 % + % 0 00 0 0 % % + % 0 0 __ __ _ 0 + % % 0 / / ___ / /(_)_ ___ __ ___ % 0 + % % % / / / _ \ / / | \ \ / / '__/ _ \ % + % % % / /__| __/ / /__| |\ V /| | | __/ % + 0 0 % \____/\___| \____/_| \_/ |_| \___| + % % % _ ___ 0 0 0 0 _ 0 % + % % % % % __| | ___ / \___ _ __ ___ __ _(_)_ __ + % % % / _` |/ _ \ / /\ / _ \ '_ ` _ \ / _` | | '_ \ + % % | (_| | __/ / /_// __/ | | | | | (_| | | | | | % + % % \__,_|\___| /___,' \___|_| |_| |_|\__,_|_|_| |_| % + % % 0 0 _ 0 0 + % __| | __ _ _ __ ___ _ _ _ __ 00 0 + % % / _` |/ _` | '_ \/ __| | | | | '_ \ + % 0 | (_| | (_| | | | \__ \ | |_| | | | | 0 + \__,_|\__,_|_| |_|___/ \__,_|_| |_| 0 + 0 __ 0 0 _ 0 0 % + / _\ __ _ ___ 0 __| | ___ + 0 \ \ / _` |/ __| / _` |/ _ \ + % % 0 _\ \ (_| | (__ | (_| | __/ 0 0 % + % 0 \__/\__,_|\___| \__,_|\___| 0 + % % 0 % 0 _ 0 + 0 % 0 % /\/\ ___ | |_ ___ 0 + 0 0 / \ / _ \| __/ __| % + / /\/\ \ (_) | |_\__ \ 0 + \/ \/\___/ \__|___/ 0 + 0 0 0 00 + % + % par Algolit + + Le modèle du 'sac de mots' est une représentation simplifiée du + texte utilisé dans le traitement du langage naturel. Dans ce mo- + dèle, un texte est représenté sous forme de collection de mots + % uniques, sans tenir compte de la grammaire, de la ponctuation et + même de l'ordre des mots. Le modèle transforme le texte en une + liste de mots et leur occurrence dans le texte, littéralement un + sac de mots. + + Cette forte réduction de la langue fut un choc au début de nos + expériences en apprentissage automatique. Le sac de mots est sou- + % vent utilisé comme référent, sur base duquel le nouveau modèle + doit s’efforcer d’être plus performant. Il peut comprendre le su- + jet d'un texte en reconnaissant les mots les plus fréquents ou + % importants. On mesure souvent les similitudes des textes en com- + parant leurs sacs de mots. % + + % Pour cet ouvrage, l'article 'Le Livre de Demain' de l'ingénieur + G. Vander Haeghen, publié en 1907 dans le Bulletin de l'Institut In- + ternational de Bibliographie, a été littéralement réduit à un sac de + mots. Vous pouvez acheter votre exemplaire à l'accueil du Mundaneum. + + --- + + Concept & réalisation: An Mertens + + + + + + + + + + + + 38 + __ 0 _ 0 0 0 + / / ___ ___| |_ _ _ _ __ ___ ___ + / / / _ \/ __| __| | | | '__/ _ \/ __| + % %% % % % %% % / /__| __/ (__| |_| |_| | | | __/\__ \ %% % % %% + % % %% % 0 \____/\___|\___|\__|\__,_|_| \___||___/ %% % % + % % % % % %% _ % 0 % _ _ _ 0 % % + % % % % % % __ _| | __ _ ___ _ __(_) |_| |__ % % + % % / _` | |/ _` |/ _ \| '__| | __| '_ \ % ____ + % | (_| | | (_| | (_) | | | | |_| | | | /___/ % + % % \__,_|_|\__, |\___/|_| |_|\__|_| |_| % + % % % % |___/ % % % 0 _ % % + % _ __ ___ (_) __ _ _ _ ___ ___ __| |_ _ % 0 + % | '_ ` _ \| |/ _` || | | |/ _ \/ __| / _` | | | | 0 % + | | | | | | | (_| || |_| | __/\__ \ | (_| | |_| | 0 0 + |_| |_| |_|_|\__, | \__,_|\___||___/ \__,_|\__,_| + % % % |_| _ 0 _ _ % % + % 0 % _ __ ___ _ __| |_ _ __ __ _(_) |_ 0 % + % 0 | '_ \ / _ \| '__| __| '__/ _` | | __| + % % 0 0 | |_) | (_) | | | |_| | | (_| | | |_ 0 0 + 0 0 | .__/ \___/|_| \__|_| \__,_|_|\__| + 0 |_| % 0 _ _ % + % % _ __ 0 __ _ _ __| | ___ __| | ___ 0 + | '_ \ / _` | '__| |/ _ \ / _` |/ _ \ 0 + | |_) | (_| | | | | __/ | (_| | __/ % + 0 | .__/ \__,_|_| |_|\___| \__,_|\___| + % % |_|__ 0 _ _ 0 _ 0 0 0 + 0 / __\ ___ _ __| |_(_) | | ___ _ __ + 0 /__\/// _ \ '__| __| | | |/ _ \| '_ \ 0 + / \/ \ __/ | | |_| | | | (_) | | | | 0 0 + 0 \_____/\___|_| \__|_|_|_|\___/|_| |_| 0 0 % + 0 0 0 + + % par Guillaume Slizewicz (Espèces urbaines) + % + 'Un code télégraphique du portrait parlé', écrit en 1907, est une + % tentative de traduire en chiffres le 'portrait parlé', technique + de description du visage créée par Alphonse Bertillon, créateur + de l'anthropométrie judiciaire. En appliquant ce code, Otlet es- + pérait que les visages des criminels et des fugitifs pourraient + être facilement communiqués par voie télégraphique. Dans sa for- + me, son contenu et son ambition, ce texte représente la relation + % complexe que nous entretenons avec les technologies documen- + taires. Ce document a été choisi comme base pour la création des + installations suivantes pour trois raisons. + + - Premièrement, ce texte est un algorithme en soi, un algorithme + de compression, ou pour être plus précis, la présentation d'un + algorithme de compression. Il tente de réduire la taille de l'in- + formation tout en la gardant lisible pour la personne possédant + le code. À cet égard, elle est étroitement liée à la façon dont + nous créons notre technologie, à la recherche d'une plus grande + efficacité, de résultats plus rapides et de méthodes moins coû- + teuses. Il représente notre appétit de chiffrement qui s'étend au + monde entier, notre envie de mesurer les plus petites choses, + d'étiqueter les différences les plus infimes... Ce texte incarne + en lui-même la vision du Mundaneum. + + - Deuxièmement, on y traite des raisons et des mises en œuvre de + nos technologies. La présence de ce texte dans les archives sé- + lectionnées est presque ironique à une époque où la reconnais- + sance faciale et la surveillance des données font la une des + journaux. Ce texte présente les mêmes caractéristiques que cer- + taines technologies d'aujourd'hui : il est motivé par un contrôle + social, classifie les personnes, pose les bases d'une société de + surveillance. Les caractéristiques physionomiques sont au cœur de + récentes controverses : les photos d'identité ont été standardi- + sées par Bertillon, elles sont maintenant utilisées pour entraî- + ner des réseau neuronaux à identifier les criminels, les systèmes + + 39 + de reconnaissance faciale permettent des arrestations via notre + % % % %% % % % % % %% infrastructure de caméras de surveillance et certains affirment que + % % % % % % % % les caractéristiques physiques peuvent prédire l'orientation sexuelle. + % % % % % % % % % % % % % + % % % % - Le dernier point concerne la façon dont, en tant que témoignage + % % écrit, ce texte représente l'évolution de notre techno-structure: + % %% % % % % ce que nos outils nous permettent de faire, ce qu'ils nous inter- + % % disent, ce qu'ils entravent, ce qu'ils nous font retenir et ce + % % qu'ils nous font oublier. Ce document permet une classification + % entre les personnes, et instaure une normalité. Il brise un % % + % continuum en morceaux, et permet les stigmatisations et les dis- % + % % criminations. D'un autre côté, ce document semble également obso- + % lète aujourd'hui, car cette techno-structure n'a pas besoin de + % % descriptions écrites aussi détaillées sur les fugitifs, les cri- + % % minels ou les citoyens. Nous pouvons maintenant trouver des em- + preintes digitales, des scanners d'iris ou des informations ADN + % dans de grands jeux de données et les comparer directement. Par- + fois, les systèmes agissent indépendamment, sans surveillance hu- + maine et reconnaissent directement l'identité d'une personne par + ses traits faciaux ou sa démarche. Ces machines n'utilisent pas + un langage alphabétique complexe pour décrire un visage, mais des + % listes de chiffres. Ainsi, tous les mots utilisés dans ce docu- + ment semblent désuets, datés. Avons-nous oublié ce que certains + d'entre eux signifient ? La photographie nous a-t-elle fait ou- + blier comment décrire les visages ? Les assistants vocaux nous + l'apprendront-il de nouveau ? + % % + Écrire avec Otlet + + Ecrire avec Otlet est un générateur de personnages qui utilise le + code du portrait parlé comme base de données. Des nombres aléa- + toires sont générés et traduits en un ensemble de caractéris- + tiques humaines. En créant des instances uniques, l'algorithme + révèle la richesse de la description qui est possible avec 'Un + code du portrait' tout en incorporant ses nuances. + + Interprétation du portrait parlé de Bertillon + % + Ce travail établit un parallèle entre le système dit de "Ber- + tillonage" et les systèmes actuels de description de visage. Une + % webcam associée à un algorithme de reconnaissance faciale capte + le visage du spectateur et le traduit en chiffres sur un écran, + en l'imprimant à côté des visages annotés par Bertillon. + % + 00 0 0 + 0 0 0 000 0 + 0 % __ 0 _ + / / ___ _ __ ___ _ __ __| |_ _ + % / / / _ \ | '_ \ / _ \ '_ \ / _` | | | | % + / /__| __/ | |_) | __/ | | | (_| | |_| | + 0 \____/\___| | .__/ \___|_| |_|\__,_|\__,_| 0 + % |_| 0 0 0 0 0 + 00 0 + par Laetitia Trozzi, étudiante Arts²/Section Arts Numériques % + % + Quoi de mieux pour découvrir Paul Otlet et sa passion pour la + littérature que de jouer au pendu? À travers ce jeu simple, qui + consiste à deviner les lettres manquantes dans un mot, le but est + de faire découvrir au public des termes et des faits liés à un + % des créateurs du mundaneum. + + En utilisant un algorithme de détection de fréquence de mots dans + un texte, une série de mots significatifs ont été isolés dans la + bibliographie de Paul Otlet. Cette série de mots a ensuite été + intégrée à un jeu du pendu présenté dans un terminal. La diffi- + culté du jeu augmente graduellement en proposant au joueur des + mots de plus en plus longs. Durant les phases de jeux, des infor- + mations sont affichées en lien avec la vie et l'œuvre de Paul Otlet. + + 40 + RÉCITS CONTEXTUALISÉS + AUTOUR DES LECTEURS + + + + Naive Bayes, Support Vector Machines ou Régression lettre de suicide a été écrite par quelqu'un + Linéaire sont considérés comme des algorithmes d'autre. + classiques d'apprentissage automatique. Ils fonc- + tionnent bien lorsqu'ils apprennent avec de petits Comment une machine analyse-t-elle les textes pour + jeux de données. Mais ils nécessitent souvent des vous identifier ? La caractéristique la plus ro- + lecteurs complexes. La tâche accomplie par les buste pour la reconnaissance de l'auteur est four- + lecteurs est également appelée 'feature enginee- nie par la technique des N-grammes de caractères. +ring'. Cela signifie qu'un être humain doit consa- Elle est utilisée dans des cas qui présentent une +crer du temps à une analyse exploratoire approfon- grande variété dans les thématiques et les genres +die du jeu de données. d’écriture. Lors de l'utilisation des N-grammes de + caractères, les textes sont considérés comme des + Leurs caractéristiques peuvent être la fréquence séquences de caractères. Considérons le trigramme + des mots ou des lettres, mais aussi des éléments des caractères. Toutes les séquences de trois ca- + syntaxiques comme les noms, les adjectifs ou les ractères qui se chevauchent sont isolées. Par + verbes. Les caractéristiques les plus importantes exemple, le trigramme de caractères de 'suicide', + pour la tâche à résoudre doivent être soigneuse- serait, 'sui', 'uic', 'ici', 'cid' et 'ide'. Les + ment sélectionnées et transmises à l'algorithme N-grammes de caractères sont très simples, ils + classique d'apprentissage automatique. Ce proces- sont indépendants du langage et tolérants au + sus diffère de celui des réseaux de neurones. Lors bruit. De plus, les fautes d'orthographe ne com- + de l'utilisation d'un réseau de neurones, il n'est promettent pas la technique. + pas nécessaire de recourir au 'feature enginee- +ring'. Les humains peuvent transmettre les données Les motifs trouvés avec les N-grammes de carac- +directement au réseau et obtiennent généralement tères se concentrent sur les choix stylistiques +de bonnes performances dès le départ. Cela permet qui sont faits inconsciemment par l'auteur. Les + d'économiser beaucoup de temps et de ressources. modèles restent stables sur toute la longueur du + texte, ce qui est important pour reconnaître l’au- + L'inconvénient de la collaboration avec les ré- teur. D'autres types d'expériences pourraient in- + seaux de neurones est que vous avez besoin de clure la longueur des mots ou des phrases, la ri- + beaucoup plus de données pour entraîner votre mo- chesse du vocabulaire, la fréquence des mots de + dèle de prédiction. Pensez à au moins 1 Go de fi- fonction et même les mesures syntaxiques ou séman- + chiers texte. Pour vous donner une référence, 1 tiques. + A4, soit un fichier texte de 5000 caractères, ne + pèse que 5 Ko. Il vous faudrait donc 8.589.934 Cela signifie non seulement que votre empreinte + pages. Traiter plus de données sous-entend d'avoir physique est unique, mais qu’il en va de même de + accès à ces données et surtout, d'avoir beaucoup la façon dont vous composez vos pensées ! +plus de puissance de traitement. + La même technique n-gramme a découvert que 'The + Cuckoo's Calling', un roman de Robert Galbraith, a + --- Les N-grammes de caractères pour la reconnais- en fait été écrit par... J.K. Rowling ! + sance d'un auteur --- + Références : + Imaginez... vous travaillez pour une entreprise - Essai: On the Robustness of Authorship Attribu- + depuis plus de dix ans. Vous avez écrit des tonnes tion Based on Character N-gram Features, Efsta- + de courriels, d'articles, de notes internes et de thios Stamatatos, in Journal of Law & Policy, Vo- + rapports sur des sujets et dans des genres très lume 21, Issue 2, 2013. + différents. Tous vos écrits, ainsi que ceux de vos - Article: https://www.scientificamerican.com/ar- + collègues, sont sauvegardés en toute sécurité sur ticle/how-a-computer-program-helped-show-jk-row- + les serveurs de l'entreprise. ling-write-a-cuckoos-calling/ + +Un jour, vous tombez amoureuse d'une collègue. +Après un certain temps, vous réalisez que cette --- Histoire des N-grammes --- +personne est non seulement folle et hystérique + mais qu'elle dépend beaucoup de vous. Le jour où L'algorithme des N-grammes peut être retracé jus- + vous décidez de rompre, votre ex élabore un plan qu'aux travaux de Claude Shannon en théorie de + pour vous tuer. Elle réussit. Pas de chance. Une l'information. Dans l'article 'A mathematical + lettre de suicide signée de votre nom est retrou- theory of communication', publié en 1948, Claude + vée à côté de votre cadavre. Celle-ci raconte que Shannon réalise la première instance d'un modèle + vous avez décidé de mettre fin à votre vie à cause de langage naturel à base des N-grammes. Il a posé + de problèmes émotionnels. Vos meilleurs amis ne la question suivante : étant donné la séquence des + croient pas au suicide. Ils décident de porter lettres, quelle est la probabilité de la prochaine + l'affaire devant les tribunaux. Et là, à partir lettre ? Si vous lisez l'extrait suivant, pouvez- + des textes que vous et d'autres avez produits, un vous nous dire par qui il a été écrit ? Shakespeare + modèle d'apprentissage automatique révèle que la ou un robot N-grammes ? + + 41 + + + + + + SEBASTIEN : Dois-je rester debout pliquer un mouvement boursier basé sur d'autres + jusqu'à la rupture. facteurs que les facteurs purement économiques. La + BIRON : Cache ta tête. Bourse et 'l'opinion publique' s'influencent mu- + VENTIDIUS : Il se rendit à Athènes, où, par le tuellement. De nombreuses recherches sont effec- + voeu. que j'ai fait pour m'occuper de toi. tuées sur la façon d'utiliser 'l'opinion publique' + FALSTAFF : Mon bon fripouille. pour prédire les tendances dans le cours des actions. + + Vous aviez peut-être deviné, en considérant le su- 'L'opinion publique' est évaluée à partir de + jet de ce récit, qu'un algorithme N-grammes a gé- grandes quantités de données publiques, comme les +néré ce texte. Le modèle est entraîné sur l'oeuvre tweets, les blogs ou la presse en ligne. Des re- +complète de Shakespeare. Alors que les algorithmes cherches montrent que l'évolution des cours bour- +plus récents, tels que les réseaux de neurones ré- siers peut, dans une certaine mesure, être prédit + cursifs de CharRNN, deviennent célèbres pour leurs en examinant 'l'opinion publique' à travers l'ana- + performances, les N-grammes exécutent encore beau- lyse des données automatique. On trouve de nom- + coup de tâches NLP. Elles sont utilisés dans la breux articles scientifiques en ligne, qui ana- + traduction automatique, la reconnaissance vocale, lysent la presse sur le 'sentiment' qui y est ex- + la correction orthographique, la détection d'enti- primé. Un article peut être annoté comme plus ou + tés, l'extraction d'informations, etc. moins positif ou négatif. Les articles de presse + annotés sont ensuite utilisés pour entraîner un + Référence : http://www.math.harvard.edu/~ctm/ho- modèle d’apprentissage automatique, qui permet de + me/text/others/shannon/entropy/entropy.pdf prédire les tendances boursières, en les marquant + comme 'à la baisse' ou 'à la hausse'. Quand une + entreprise fait mauvaise presse, les traders +--- Dieu dans Google Books --- vendent. Au contraire, si les nouvelles sont bon- + nes, ils achètent. +En 2006, Google crée un jeu de données de N- + grammes à partir de sa collection de livres numé- Un article de Haikuan Liu de l'Université Natio- + risés pour le mettre en ligne. Récemment, ils ont nale Australienne affirme que le temps des verbes + également réalisé une visionneuse de N-grammes. utilisés dans les tweets peut être un indicateur + Cela a permis de nombreuses recherches sociolin- de la fréquence des transactions financières. Son + guistiques. Par exemple, en octobre 2018, le New idée s'inspire du fait que la conjugaison des + York Times Magazine a publié un article d'opinion verbes est utilisée en psychologie pour détecter + intitulé 'It's Getting Harder to Talk About God'. les premiers stades de la dépression humaine. + L'auteur, Jonathan Merritt, avait analysé la men- + tion du mot 'Dieu' dans le jeu de données de Référence : Grammatical Feature Extraction and + Google à l'aide du visualiseur de N-grammes. Analysis of Tweet Text: An Application towards + Il a conclu qu'il y a eu un déclin dans l'usage du Predicting Stock Trends, The Australian National +mot depuis le 20ème siècle. Le corpus de Google University (ANU) +contient des textes du 16e jusqu'au 21e siècle. +Cependant l'auteur a manqué d'observer la popula- + rité croissante des revues scientifiques vers le --- Sac de mots --- + début du 20ème siècle. Ce nouveau genre, dans le- + quel le mot Dieu n'apparaît pas, a fait basculer Dans le traitement du langage naturel, le 'sac de + le jeu des données. Si la littérature scientifique mots' est considéré comme un modèle simple. Il dé- + était retirée du corpus, la fréquence du mot pouille un texte de son contexte et le décompose + 'Dieu' s'écoulerait toujours comme l'ondulation dans sa collection de mots uniques. Ensuite, ces + douce d'une vague lointaine. mots sont comptés. Dans les phrases précédentes, + par exemple, le mot 'mots' est mentionné trois + Référence : https://www.nytimes.com/2018/10/13/ fois, mais ce n'est pas nécessairement un indica- + opinion/sunday/talk-god-sprituality-christian.html teur de l'objet du texte. + + La première apparition de l'expression 'sac de +--- Les traits grammaticaux extraits mots' semble remonter à 1954. Zellig Harris a pu- + de Twitter influencent le marché boursier --- blié un article dans le contexte des études lin- + guistiques, intitulé 'Distributional Structure'. + Les frontières entre les disciplines académiques Dans la partie intitulée 'Le sens en fonction de + s'estompent. La recherche économique mélangée à la la distribution', il dit que 'le langage n'est pas + psychologie, aux sciences sociales, aux concepts seulement un sac de mots, mais aussi un outil aux + cognitifs et émotionnels créent un nouveau sous- propriétés particulières qui ont été façonnées au + domaine économique, appelé 'l'économie comporte- cours de son utilisation. Le travail du linguiste + mentale'. est précisément de découvrir ces propriétés, que + ce soit pour l'analyse descriptive ou pour la syn- + Cela signifie que les chercheurs commencent à ex- thèse du système quasi-linguistique.' + + 42 +learners learn learners learn learners learn learners learn learners learn learners learn + learners learn learners learn learners learn learners learn learners learn + learners learn learners learn learners learn learners learn + learners learn learners learn learners learn + learners learn learners learn learners learn lea +ners learn learners learn learners learn +learners learn learners learn learners learn + learners learn learners learn learners +earn learners learn learners learn + learners learn learners learn + learners learn learners learn lea +ners learn learners learn learners +learn learners learn learners +earn learners learn learne +s learn learners learn +learners learn learners learn + learners learn learners learn + learners learn learners learn + learners learn + learners learn learners learn + learners learn learners learn + learners learn + learners learn learners learn + learners learn + learners learn learners learn + learners learn + learners learn learners +learn learners learn + learners learn + learners learn learners learn + learners learn + learners learn + learners learn learners +learn learners learn + learners learn + learners learn + learners learn lea +ners learn learners learn + learners learn + learners learn + learners learn + learners learn + learners learn + learners learn learners +earn learners learn + learners learn + learners learn + learners learn + learners learn + learners learn + learners learn + learners learn + learners learn + learners learn + learners learn + learners learn + learners learn + learners learn + learners learn + learners learn + learners learn + learners learn + learners learn + learners learn + learners learn + learners learn + learners learn + learners learn + learners learn + 43 + c us 'l8 t n | d c ri i s +-+-+-+-+-+-+-+-+ o +-+-+-+-+-+ 3ini sst5 dl e or%tu ed5 u_ + u1u t r éa n 86 Mi V |l|e|a|r|n|e|r|s| |l|e|a|r|n| / nV 8 r _ u s 9e 5mn ieo +   a i8- | 3 se7 |s dtr +-+-+-+-+-+-+-+-+ iT +-+-+-+-+-+ 9l l o é e e r | _ _ ve- e + f ym it 1es3 63 d 9s5ue8 | s / , ,4 7 asr 9 d % 6sd il43 23 G |r o9c n % Dm u + i db o /mé eev oeut r +5o e s v9c + 7r i a 3 lii| p f H1 oo y L n7 eu + s + -0 i _ean, rsm 0 +-+-+-+-+-+-+-+-+ s +-+-+-+ +-+-+-+-+-+-+-+ i qua u utn i + + l e + i_ t l 3 b% 7 éo s fn |l|e|a|r|n|e|r|s| r. |a|r|e| |p|a|t|t|e|r|n| rld 3s o l to N ,A 1 s + e s v l c ud ri5o +-+-+-+-+-+-+-+-+ e +-+-+-+ +-+-+-+-+-+-+-+ %9e-am | e e l + rea r- 36 1- r u . 4 --é e `t i +-+-+-+-+-+-+-+ t c e a srn 9p 8 3 fm + eg u% 1k 6d g r- e s2 |f|i|n|d|e|r|s| , I u_o t s it n 8d d e + 5,e - 9 et 2 A o 2e - e ae r l e +-+-+-+-+-+-+-+ % n u +pa+ un8ne r + - r a ,n _ng |e r fhs +-+-+-+-+-+-+-+-+ 2 +-+-+-+ +-+-+-+-+-+-+-+-+ e j hlqi n oae c7 r + 6 t 9 % r e 6n ei enn |l|e|a|r|n|e|r|s| /i |a|r|e| |c|r|a|w|l|i|n|g| e 68 t 2c+ y t + 5 u , 4 u e t e +-+-+-+-+-+-+-+-+ a +-+-+-+ +-+-+-+-+-+-+-+-+ 6 n c5 b u45i u t| n + _ 7 i e l a 1 A78 it t +-+-+-+-+-+-+-+ +-+-+-+-+ 2 iid d ,a éc + O n %t/ / h 4 r i6 7 sna p s |t|h|r|o|u|g|h| |d|a|t|a| e V lauae9n 5 9 l1 + e é Iho e t c t3 e 1 7 m ndm . 2 +-+-+-+-+-+-+-+ +-+-+-+-+ i ea s n p n c2 is + |\ 5 6 / ac r4 o +-+-+-+-+-+-+-+-+ -ad6 +-+-+-+-+-+-+-+-+ +-+-+-+-+ +-+-+-+-+ e3 cv 8 + s u% - t e 1 3o |l|e|a|r|n|e|r|s| e m |g|e|n|e|r|a|t|e| |s|o|m|e| |k|i|n|d| t L + s 4rr s t - us l +-+-+-+-+-+-+-+-+ / | +-+-+-+-+-+-+-+-+ +-+-+-+-+ +-+-+-+-+ ae r + g '- ê u u 2 -4 48 9s +-+-+ +-+-+-+-+-+-+-+-+ m s +i 39 +7p o - di + o t2 4 e l a os b i o |o|f| |s|p|e|c|i|f|i|c| f -p e e 24 7 e + r -e o lr 3i dh t t C o +-+-+ +-+-+-+-+-+-+-+-+ ee3 r 4 r | i nd + id ei t e 7m 6 g t p + é e e +-+-+-+-+-+-+-+-+-+ s _ a n i i l t w ' o + r c 7 s_- l ea t ' - |'|g|r|a|m|m|a|r|'| o 0 t 1 u n uf - + teu| c_n e o5 e e % d+ re 5 t +-+-+-+-+-+-+-+-+-+ n s o etps r m a iu a + r u s 5 +-+-+-+-+-+-+-+-+-+-+-+ +-+-+-+-+-+-+-+-+-+ +-+-+-+-+-+-+-+-+ 2ain d% + p 7,s0 .e e 1r gt _ |c|l|a|s|s|i|f|i|e|r|s| ir |g|e|n|e|r|a|t|e|,| |e|v|a|l|u|a|t|e| ê sa, g + te ( i m e + +-+-+-+-+-+-+-+-+-+-+-+ a +-+-+-+-+-+-+-+-+-+ +-+-+-+-+-+-+-+-+ es a _ s + e dr p ' o U + p' +-+-+-+ +-+-+-+-+-+-+-+-+ l o n8 - r 8 + r6 o é s re eA a s r' n c t 5 |a|n|d| |r|e|a|d|j|u|s|t| o u r + n2o t o + t % 4 iinu g 4 7s p u u- e 7 +-+-+-+ +-+-+-+-+-+-+-+-+ ' u tn + - e + l/ v 2 ni 2 a +-+-+-+-+-+-+-+-+ u +-+-+-+-+-+-+-+-+-+-+ +-+-+-+ 35 8 _ p + _ %o dh 9 ee i s |l|e|a|r|n|e|r|s| 3a |u|n|d|e|r|s|t|a|n|d| |a|n|d| s ee c i % + m qra st +-+-+-+-+-+-+-+-+ h +-+-+-+-+-+-+-+-+-+-+ +-+-+-+ d+ g a n + p s eh . t r - d si r-i i +-+-+-+-+-+-+ +-+-+-+-+-+-+-+-+ n 6 9 r + s e i i 2 t t ae i |r|e|v|e|a|l| |p|a|t|t|e|r|n|s| m e ' eg + e i - tB i \m t +-+-+-+-+-+-+ +-+-+-+-+-+-+-+-+ 1 t e 45 + 5 s u iee i i ,l 7t +-+-+-+-+-+-+-+-+ +-+-+-+-+-+ +-+-+-+-+-+-+ 43 l u .a d r + n 59n e l w 8a |l|e|a|r|n|e|r|s| 8 |d|o|n|'|t| |a|l|w|a|y|s| l i i d r + l è p m r 0 i +-+-+-+-+-+-+-+-+ % +-+-+-+-+-+ +-+-+-+-+-+-+ 4 i ee t 5 + m -8 p t a O en v6 +-+-+-+-+-+-+-+-+-+-+-+-+ +-+-+-+-+ p é t + i 2 '4 uf e c l t |d|i|s|t|u|i|n|g|u|i|s|h| |w|e|l|l| m l e+ + di ' y 9 r +-+-+-+-+-+-+-+-+-+-+-+-+ +-+-+-+-+ z 1 - d + n5 de . e 2 r _ +-+-+-+-+-+ +-+-+-+-+-+-+-+-+ 6 t f d + _ , 2 l csi d |w|h|i|c|h| |p|a|t|t|e|r|n|s| r i a. + v a l 9 i s 9 sk +-+-+-+-+-+ +-+-+-+-+-+-+-+-+ 3 a + l | 9 al +-+-+-+-+-+-+ +-+-+ +-+-+-+-+-+-+-+-+ hsé + 3 e s r A e s 9 r |s|h|o|u|l|d| |b|e| |r|e|p|e|a|t|e|d| i i + r u ue I C _ 4 m +-+-+-+-+-+-+ +-+-+ +-+-+-+-+-+-+-+-+ + +e n i v 6s e /a 5 7C r _ + a r 1 t r V e r i e nu l n ' r64 + l e ei a _ 6 e t n s + roe l e 2 6e n a 9 +o g . e - /q Z m 7 .1 1 |n . q 8 9p s7 + h o u fe 6 r n a ê n 5 4 + - nn n i u . r dt | r t 4V + 9 7 n l s e - i 9n 9 + 4 n m 8 r n a_ 4 + 1 s b , ui + % e \ e e s + s | _ 0 i il s a + 6e a + e d 9 p t a t + e e ' r i 9 t 9 _ n i s + - n r s7 s e 9 m + + è e Q 8e . t s5 eo t c b ' 1 + % 0 s _ b n n 4 +% v e ' it 2 r u + o r pu p r + + 44 + V V V V V V V V % %% % % % % % % % % % % % % % + V V V V V V V V V V V V V V V V % %%% % 0 %% % 0 0 %% %% +V V V % V V V V V V % % % 0 __ 0 % % % %% % % % % + % % % 0 %% 0 \ \ ___ _ _ ___ ____ __ _ _ _ % % + %% % % % % 0 \ \/ _ \| | | |/ _ \_ / / _` | | | | % + % APPRENANTS 0 /\_/ / (_) | |_| | __// / | (_| | |_| | 0 % + % % % % \___/ \___/ \__,_|\___/___| \__,_|\__,_| + V V V V V V V V % % __ _ 0 %%% % + V V V V V V V V V V V V V V V V 0 % /\ \ \__ _(_)_ _____ % 0 % +V V V V V V V V V / \/ / _` | \ \ / / _ \ 0 % + V V V V V V V V % / /\ / (_| | |\ V / __/ 0 0 + V V V V V V V V V V V V V V V V 0 \_\ \/ \__,_|_| \_/ \___| % % +V V V V V V V V V 0 0 ___ 0 0 0 % + / __\ __ _ _ _ ___ ___ 0 0 00 +Les Apprenants sont les algorithmes 0 /__\/// _` | | | |/ _ \/ __| % +qui distinguent les pratiques d'ap- 0 / \/ \ (_| | |_| | __/\__ \ % +prentissage automatique des autres 0 \_____/\__,_|\__, |\___||___/ 0 +pratiques algorithmiques. Les Ap- % 0 % % |___/ 0 0 0 % +prenants sont aussi appelés classi- 0 0 0 0 0 0 +ficateurs. Ce sont des chercheurs +de motifs, capables de fouiller par Algolit % +dans les données et de générer une % % +sorte de 'grammaire' spécifique. Dans l'apprentissage automatique, les méthodes Naive Bayes sont +Les Apprenants sont souvent basés des classificateurs probabilistes simples qui sont largement uti- +sur des techniques statistiques. lisés pour filtrer le spam et décider si un texte est positif ou +Chacun d'entre eux présente des ca- négatif. +ractéristiques individuelles. Cer- +tains ont besoin d'une grande quan- Ils nécessitent une petite quantité de données d'entraînement +tité de données d'entraînement pour pour estimer les paramètres nécessaires. Ils peuvent être extrê- +fonctionner, d'autres peuvent s'en mement rapides par rapport à des méthodes plus sophistiquées. Ils +tirer avec un petit jeu de données sont difficiles à généraliser, ce qui signifie qu'ils exécutent +annotées. Certains s'acquittent des tâches très spécifiques, exigeant d'être entraînés avec le +bien de tâches de classification, même style de données que celui qui sera utilisé par la suite. +comme l'identification des spam, +d'autres sont plus aptes à prédire Ce jeu vous permet de jouer selon les règles de Naive Bayes. Tout +les chiffres, comme les températu- en exécutant manuellement le code, vous créez votre propre modèle +res, les distances, les valeurs ludique qui 'fonctionne'. Un peu de prudence s'impose : parce que +boursières, et ainsi de suite. vous ne l'entraînez qu'en 6 phrases - au lieu de 2000 au minimum + - il n'est pas représentatif du tout ! +La terminologie de l'apprentissage +automatique n'est pas encore com- --- +plètement établie. Selon le domaine +(les statistiques, l'informatique Concept & réalisation: An Mertens +ou les sciences humaines) ils sont +appelés par des mots différents. +Lorsque nous parlons d’Apprenants, +nous parlons des fonctions imbri- +quées qui ont la capacité de géné- +rer d'autres fonctions, de les éva- +luer et de les réajuster en fonc- +tion des données. Les Apprenants +sont bons pour comprendre et révé- +ler les motifs. Mais ils ne dis- +tinguent pas toujours bien quels +motifs doivent être répétés. + +Dans les logiciels, il n'est pas +toujours possible de distinguer les +éléments caractéristiques des clas- +sificateurs, car ils sont cachés +dans des modules ou bibliothèques +sous-jacents. Les programmeurs +peuvent les invoquer en utilisant +une seule ligne de code. Par consé- +quent, pour cette exposition, nous +avons développé deux jeux de table +qui montrent en détail le processus +d'apprentissage de classificateurs +simples, mais fréquemment utilisés. + 45 + 0 0 + 0 0 0 + __ 0 __ 0 _ + \ \ ___ _ _ ___ ____ \_\_ | | __ _ + \ \/ _ \| | | |/ _ \_ / / _` | | |/ _` | + /\_/ / (_) | |_| | __// / | (_| | | | (_| | + \___/ \___/ \__,_|\___/___| \__,_| |_|\__,_| + __ __ 0 _ + /__\ _/_/ __ _ _ __ ___ ___ ___(_) ___ _ __ + / \/// _ \/ _` | '__/ _ \/ __/ __| |/ _ \| '_ \ % + / _ \ __/ (_| | | | __/\__ \__ \ | (_) | | | | + \/ \_/\___|\__, |_| \___||___/___/_|\___/|_| |_| + 0 |___/ + __ _ __ _ 0 0 + / /(_)_ __ _/_/ __ _(_)_ __ ___ 0 0 + / / | | '_ \ / _ \/ _` | | '__/ _ \ + / /__| | | | | __/ (_| | | | | __/ 0 + \____/_|_| |_|\___|\__,_|_|_| \___| 0 + 0 0 0 + + par Algolit + + La régression linéaire est l'un des algorithmes les plus connus + et les mieux compris en statistique et en apprentissage automa- % + % + % % % % %% % % tique. Il existe depuis près de 200 ans. C'est un modèle at- + % % % % % trayant parce que la représentation est très simple. En statisti- + % % % % que, la régression linéaire est une méthode statistique qui per- + % % met de résumer et d'étudier les relations entre deux paramètres % + % % % quantitatifs. % % % % %% % + % % % % % %% + % % % En jouant à ce jeu, vous réaliserez qu'en tant que joueur, vous + % % % % avez beaucoup de décisions à prendre. Vous découvrirez ce que si- + % gnifie créer un jeu de données cohérent, de décider ce qu’il doit + % % inclure. Si tout se passe bien, vous ressentirez le besoin de mo- % + % difier vos données afin d'obtenir de meilleurs résultats. Cela % + fait partie de l'art de l'approximation qui est à la base de + % % toutes les pratiques d'apprentissage automatique. + % % + % % --- + % % + % Concept & réalisation: An Mertens % + % %% % % + % % + + + + + + + + + + + + + + + + + + + + + + + + + + 46 + % % 0 0 0 0 % % + 0 0 _____ % _ _ __ _ + /__ \_ __ __ _(_) |_ _/_/ 0 __| | ___ 0 + 0 / /\/ '__/ _` | | __/ _ \ / _` |/ _ \ + / / | | | (_| | | || __/ | (_| | __/ 0 + \/ |_| \__,_|_|\__\___| \__,_|\___| + _ 0 0 0 0 + __| | ___ ___ _ _ _ __ ___ ___ _ __ + / _` |/ _ \ / __| | | | '_ ` _ \ / _ \ '_ \ ____ + | (_| | (_) | (__| |_| | | | | | | __/ | | | /___/ + \__,_|\___/ \___|\__,_|_| |_| |_|\___|_| |_| + _ _ _ 0 _____ 0 _ 0 + | |_ __ _| |_ (_) ___ _ __ /__ \_ __ ___ (_)___ 00 + | __/ _` | __|| |/ _ \| '_ \ / /\/ '__/ _ \| / __| % + | || (_| | |_ | | (_) | | | |_ / / | | | (_) | \__ \ + \__\__,_|\__||_|\___/|_| |_(_) \/ |_| \___/|_|___/ + 0 0__0 0 0 _ + _ __ ___ \_\ _ __ ___ ___ ___ __ _| | __ _ ___ % + | '_ \ / _ \ / _ \ '_ ` _ \ / _ \/ __| / _` | |/ _` |/ _ \ ____ + | |_) | (_) | __/ | | | | | __/\__ \ | (_| | | (_| | (_) | /___/ + 0 | .__/ \___/ \___|_| |_| |_|\___||___/ \__,_|_|\__, |\___/ + |_| _ _ _ 0 _ 0 |___/ + _ __(_) |_| |__ _ __ ___ (_) __ _ _ _ ___ ___ + | '__| | __| '_ \| '_ ` _ \| |/ _` | | | |/ _ \/ __| + | | | | |_| | | | | | | | | | (_| | |_| | __/\__ \ + |_| |_|\__|_| |_|_| |_| |_|_|\__, |\__,_|\___||___/ + 0 0 0 |_| + 00 + par Rémi Forte, designer-chercheur à l’Atelier national de re- + cherche typographique, Nancy, France + + sérigraphie sur papier, 60 × 80 cm, 25 ex., 2019, en vente à la + réception du Mundaneum. + % + Sous la forme de trois affiches, ces poèmes opèrent une relecture + algorithmique et poétique du 'Traité de documentation' de Paul + Otlet. Ils sont le résultat d’un même algorithme basé sur les + règles mystérieuses de l'intuition humaine. Il est appliqué à + trois fragments prélevés dans l’ouvrage de Paul Otlet et se veut + représentatif de sa pratique bibliologique. Pour chaque fragment, + l’algorithme découpe le texte, puis mots et signes de ponctuation + sont comptabilisés et réordonnés en une liste. À chaque ligne, + % % % % %%% % % % les éléments se combinent et épuisent la syntaxe du fragment sé- % % + % % % % % % lectionné. % %%% % % % % % % + % % % % % % % % % % % % % %% % + % %% % Le langage de Paul Otlet reste perceptible mais exacerbé jusqu’à + % % % % % l’absurde. Pour le lecteur, la systématisation du texte est dé- + % % % concertante et ses habitudes de lecture sont bousculées. Cons- % + % % % truite selon une équation mathématique, la composition typogra- % + + % phique de l’affiche est tout aussi systématique que le poème. Ce- + pendant, des frictions surviennent ponctuellement ; boucle après + % % boucle, les lignes s’étendent jusqu’à mordre la colonne voisine. + Des superpositions se créent et des mots se trouvent dissimulés + % par d’autres. Ces télescopages dessinent des parcours de lecture + % % % alternatifs. % % + % % + % % + + + + + + + + + + + + 47 + RÉCITS CONTEXTUALISÉS + AUTOUR DES APPRENANTS + + + + --- Naive Bayes & Viagra --- Pierre-Simon Laplace, son inventeur. Le mathémati- + cien aurait échoué à créditer les travaux des + L'algorithme Naive Bayes est un Apprenant célèbre autres. Par conséquent, il a souffert d’accusa- + qui réussit bien avec peu de données. Nous l'ap- tions largement diffusées contre sa réputation. Ce + pliquons tout le temps. Christian & Griffiths af- n'est que 150 ans plus tard que l'accusation s'est + firment dans leur livre, 'Algorithms to Live by', avérée fausse. + que 'nos jours sont remplis de petites données'. +Imaginez par exemple que vous vous trouviez à un Avançons en 1939, alors que le règne de Bayes de- +arrêt de bus dans une ville étrangère. L'autre meure pratiquement tabou, mort et enterré dans le +personne qui se tient là attend depuis 7 minutes. domaine de la statistique. Lorsque la France est + Qu'est-ce que vous faites ? Décidez-vous d'atten- occupée en 1940 par l'Allemagne, qui contrôle les + dre ? Et si oui, pour combien de temps ? Quand al- usines et les fermes européennes, la plus grande + lez-vous envisager d'autres options ? Un autre inquiétude de Winston Churchill est le péril U- + exemple. Imaginez qu’un ami demande conseil sur boot. Les opérations de sous-marin étaient étroi- + une relation. Il est avec son nouveau partenaire tement contrôlées par le quartier général allemand + depuis un mois. Doit-il l'inviter à l’accompagner en France. Chaque sous-marin partait en mer sans + à un mariage de famille ? ordres, et les recevait sous forme de messages ra- + dio codés après avoir atteint l'Atlantique. Les + Les croyances préexistantes sont cruciales pour messages étaient cryptés par des machines à + que Naive Bayes fonctionne. L'idée est de calculer brouiller les mots, appelées Enigma machines. + les probabilités sur base de ces connaissances Enigma ressemblait à une machine à écrire compli- +préalables et d'une situation spécifique. quée. Elle est inventée par la société allemande + Scherbius & Ritter après la première guerre mon- +Le théorème a été formulé dans les années 1740 par diale, lorsque le besoin de machines d'encodage de + le révérend et mathématicien amateur Thomas Bayes. messages est devenu douloureusement évident. + Il a consacré sa vie à résoudre la question de sa- + voir comment gagner à la loterie. Mais la règle de Curieusement, et heureusement pour Naive Bayes et + Bayes a été rendue célèbre dans sa forme actuelle le monde, à l'époque le gouvernement britannique + par le mathématicien Pierre-Simon Laplace en et les systèmes d'éducation considéraient les ma- + thématiques appliquées et les statistiques sans + temps après la mort de La Place, la théorie tombe aucun rapport avec la résolution pratique des pro- + dans l'oubli jusqu'à ce qu'elle soit à nouveau dé- blèmes. Les données statistiques ont été jugées + terrée pendant la Seconde Guerre mondiale dans le gênantes en raison de leur caractère détaillé. + but de briser le code Enigma. Ainsi, les données du temps de guerre étaient sou- + vent analysées non pas par des statisticiens, mais +La plupart des personnes sont aujourd'hui entrées par des biologistes, des physiciens et des mathé- +en contact avec Naive Bayes par le biais de leurs maticiens théoriques. Aucun d'entre eux ne savait +dossiers de courrier indésirable. Naive Bayes est qu'en ce qui concerne les statistiques sophistiquées, + un algorithme largement utilisé pour la détection la règle de Bayes était considérée non- scientifique. + du spam. C’est une coïncidence que le Viagra, mé- + dicament contre la dysfonction érectile, a été ap- C'est le désormais célèbre Alan Turing, mathémati- + prouvé par la FDA (US Food & Drug Administration) cien, informaticien, logicien, cryptanalyste, phi- + en 1997, au moment où environ 10 millions d'utili- losophe et biologiste théorique, qui a utilisé le + sateurs dans le monde avaient des comptes de mes- système de probabilités des règles de Bayes pour + sagerie Web gratuits. Les sociétés de vente concevoir la 'bombe'. Il s'agissait d'une machine + avaient l’intelligence d'utiliser la publicité électromécanique à grande vitesse pour tester tous + massive par e-mail : c'était un média intime, à les arrangements possibles qu'une machine Enigma + l'époque réservé à la communication privée. En produirait. Afin de déchiffrer les codes navals + 2001, le premier programme SpamAssasin s'appuyant des U-boot, Turing simplifie le système de la +sur Naive Bayes a été téléchargé sur SourceForge, 'bombe' en utilisant des méthodes baysiennes. La +réduisant ainsi le marketing 'guerilla par cour- 'bombe' a transformé le quartier général du +riel'. Royaume-Uni en une usine de décryptage. L'histoire + est bien illustrée dans 'The Imitation Game', un + Référence : Machine Learners, by Adrian MacKenzie, film de Morten Tyldum, sorti en 2014. + The MIT Press, Cambridge, US, November 2017. + + --- Une histoire sur les petits pois --- + --- Naive Bayes & Enigma --- + En statistique, la régression linéaire est une mé- + Cette histoire de Naive Bayes fait partie du livre thode d'apprentissage supervisé. Après l'entraîne- + 'The theory that would not die', écrit par Sharon ment avec des données annotées, le modèle tente de + Bertsch McGrayne. Elle décrit entre autres comment prédire les valeurs de nouvelles données incon- + Naive Bayes est vite oubliée après la mort de nues. La régression linéaire permet de résumer et + + 48 + + + + + + d'étudier les relations entre deux éléments, afin j'ai toujours soutenu qu'à l'exception des imbéci- + de voir s'il existe une corrélation entre eux. les, les hommes ne différaient pas beaucoup sur le + S'il y a une corrélation positive, la connaissance plan intellectuel, seulement sur le plan du zèle + d'un élément aide à prédire l'autre. Par exemple, et du labeur'. Heureusement, l'étude moderne de + étant donné la critique d'un film, nous pouvons l'hérédité a réussi à éliminer le mythe de la dif- + prédire le nombre moyen d'étoiles qui lui sont at- férence génétique fondée sur la race. + tribuées, plutôt que de simplement dire si la cri- + tique est positive ou négative. La raison pour laquelle nous l'évoquons dans cette + série, c'est qu'il a été parmi les premiers scien- + Parfois, les figures que nous rencontrons en grat- tifiques à utiliser des méthodes statistiques dans +tant sous la surface ne sont pas à notre goût. ses recherches. Sa principale contribution dans ce +L'idée de régression vient de Sir Francis Galton, domaine a été l'analyse de régression linéaire, +un scientifique influent du 19e siècle. Il a passé qui a fondé les bases d'une grande partie de la + sa vie à étudier le problème de l'hérédité - pour statistique moderne. Alors que nous nous engageons + comprendre à quel point les caractéristiques d'une dans le domaine de l'apprentissage automatique, Algolit + génération d'êtres vivants se manifestent dans la essaie de ne pas oublier que les systèmes d'ordre ont + génération suivante. Il a établi le domaine de du pouvoir, et que ce pouvoir n'a pas toujours été + l'eugénisme et l'a défini comme 'l'étude des orga- exercé au bénéfice de tout le monde. L'apprentissage + nismes sous contrôle social qui peuvent améliorer automatique a hérité de nombreux aspects de la + ou altérer les qualités raciales des générations recherche statistique, certains plus agréables que + futures, que ce soit physiquement ou mentalement'. d'autres.Nous devons nous méfier, car ces visions + Par conséquent, son nom a marqué l'histoire et du mondes'infiltrent dans les modèles algorithmiques + l'héritage du racisme scientifique. qui créent des ordres aujourd'hui. + +Galton a d'abord abordé le problème de l'hérédité Références : +en examinant les caractéristiques du petit pois +doux. Il a choisi le petit pois parce que l'espèce http://galton.org/letters/darwin/correspon- + peut s'auto-fertiliser. Les plantes femelles hé- dence.htm + ritent des variations génétiques des plantes mères + sans la contribution d'un deuxième parent. Cette https://www.tandfonline.com/doi/- + caractéristique élimine la nécessité de traiter full/10.1080/10691898.2001.11910537 + avec des sources multiples. + http://www.paramoulipist.be/?p=1693 + En 1875, Galton a distribué des paquets de graines + de petits pois à sept amis. Chaque ami recevait + des graines de poids uniforme, mais il y avait des --- Perceptron --- + variations importantes d'un paquet à l'autre. Les + amis de Galton ont récolté les graines des nou- Nous nous trouvons dans une décennie où les ré- +velles générations de plantes et les lui ont ren- seaux de neurones suscitent beaucoup d'attention. +dues. Il a ensuite tracé le poids des graines fe- Cela n'a pas toujours été le cas. L'étude des ré- +melles contre le poids des graines mères. Il a dé- seaux de neurones remonte aux années 1940, lorsque + couvert que le poids médian des graines femelles la première métaphore des neurones est apparue. Le + d'une taille particulière de la semence mère dé- neurone n'est pas la seule référence biologique + crivait approximativement une ligne droite avec dans le domaine de l'apprentissage automatique - + une pente positive inférieure à 1,0. Les premières pensez au mot corpus ou formation. Le neurone ar- + idées de Galton sur la régression sont nées de ce tificiel a été construit en relation étroite avec + diagramme bidimensionnel qui compare la taille des son homologue biologique. + petits pois femelles à celle des petits pois + mères. Il a utilisé cette représentation de ses Le psychologue Frank Rosenblatt s'est inspiré des + données pour illustrer les fondements de ce que travaux de son collègue Donald Hebb sur le rôle + les statisticiens appellent encore aujourd'hui la des neurones dans l'apprentissage humain. Hebb a + régression. Pour Galton, c'était aussi une façon déclaré que 'les cellules qui communiquent, se +de décrire les avantages de l'eugénisme. mettent ensemble.' Sa théorie est maintenant à la + base de l'apprentissage associatif humain, mais +La recherche de Galton été appréciée par de nom- aussi de l'apprentissage en réseau de neurones non + breux intellectuels de son temps. En 1869, dans supervisé. Il a poussé Rosenblatt à développer + 'Hereditary Genius', Galton affirme que le génie l'idée du neurone artificiel. En 1962, il crée le + est principalement une question d'ascendance. Il Perceptron. Le Perceptron est un modèle qui ap- + croyait qu'il y avait une explication biologique à prend par la pondération des entrées. + l'inégalité sociale entre les races. Galton a même + persuadé son demi-cousin Charles Darwin de ses Il a été mis de côté par les chercheurs, parce + idées. Après avoir lu l'article de Galton, Darwin qu'il ne peut gérer que la classification binaire. + a déclaré : 'Vous avez converti un adversaire, car Cela signifie que les données doivent être sépa- + + 49 + + + + + +rables linéairement, comme par exemple hommes et 'deep learning'. Les tarifs de location de TPU +femmes, noir et blanc. Il est clair que ce type de vont de de 8$/h à 394$/h. Si vous êtes comme nous, + données est très rare dans le monde réel. Lorsque et vous ne voulez pas travailler avec des sollu- + le soi-disant premier hiver de l'Intelligence Ar- tions prêtes à l'emploi, et vous souhaitez ouvrir + tificielle (IA) est arrivé en 1974-1980 et que le la boîte noire, BERT exige de faire des économies + financement consacré à cette recherche a diminué, pour pouvoir l’utiliser. + le Perceptron a également été négligé. Pendant 10 + ans, il est resté inactif. Lorsque le printemps Références : + s'installe à la fin des années 1980, de nouvelles + générations de chercheurs le reprennent et l'uti- https://ai.googleblog.com/2018/11/open-sourcing- + lisent pour construire des réseaux de neurones. bert-state-of-art-pre.html + Ceux-ci contiennent de multiples couches de Per- + ceptrons. C'est ainsi que les réseaux de neurones https://towardsdatascience.com/deconstructing- +voient la lumière. On pourrait dire que cette sai- bert-distilling-6-patterns-from-100-million- +son d'apprentissage automatique est particulière- parameters-b49113672f77 +ment chaude, mais il faut un autre hiver pour + connaître un été. + + + --- BERT --- + + Certains articles en ligne disent que l'année 2018 + a marqué un tournant dans le domaine du traitement + du langage naturel. Une série de modèles de 'deep + learning' ont permis d'obtenir des résultats ex- + cellents pour des tâches comme les réponses aux + questions ou la classification des sentiments. +L'algorithme BERT de Google est entré dans les +concours d'apprentissage automatique de l'année +dernière comme un 'modèle gagnant'. Il témoigne + d’une performance supérieure sur une grande varié- + té de tâches. + + BERT est pré-entraîné; ses poids sont appris à + l'avance grâce à deux tâches non supervisées. Cela + signifie que BERT n'a pas besoin d'être entraîné à + partir de zero pour chaque nouvelle tâche. Vous + n'avez qu'à affiner ses poids. + + Cela signifie également qu'un programmeur souhai- + tant utiliser BERT ne sait plus sur quels para- +mètres BERT est réglé, ni à base de quelles don- +nées il a appris ses performances. + + BERT signifie 'Bidirectional Encoder Representa- + tions from Transformers'. Cela signifie que BERT + permet un entraînement bidirectionnel. Le modèle + apprend le contexte d'un mot à partir de son envi- + ronnement, à gauche et à droite d'un mot. En tant + que tel, il peut faire la différence entre 'Je + suis pile à l’heure' et 'Je l’ai mis sur la pile'. + + Quelques faits : + + - BERT_large, avec 345 millions de paramètres, est +le plus grand modèle du genre. Il est manifeste- +ment supérieur à BERT_base, qui utilise la même +architecture avec 'seulement' 110 millions de pa- + ramètres, pour les tâches à petite échelle. + + - Pour exécuter BERT, vous devez utiliser les TPU. + Ce sont les processeurs (CPU) de Google spéciale- + ment conçus pour TensorFLow, la plateforme de + + 50 +0 12 3 4 5 67 8 9 0 + 12 3 4 5 67 8 9 0 12 + 3 4 5 67 8 9 0 1 2 + 3 4 5 6 7 8 9 0 1 2 3 + 4 56 7 8 9 01 2 3 + 4 56 7 8 9 01 2 3 + 4 56 7 8 9 01 2 3 + 4 56 7 8 9 0 1 2 3 4 + 5 6 7 8 9 0 1 2 3 45 6 + 7 8 90 1 2 3 45 6 + 7 8 90 1 2 3 45 6 + 7 8 90 1 2 3 4 5 6 + 7 8 9 0 1 2 3 4 5 6 + 7 89 0 1 2 34 5 6 + 7 89 0 1 2 34 5 6 + 7 89 0 1 2 34 5 6 7 +89 0 1 2 3 4 5 6 7 8 9 + 0 1 2 3 4 5 6 78 9 + 0 1 23 4 5 6 78 9 0 + 1 23 4 5 6 78 9 0 + 1 23 4 5 6 78 9 0 + 1 2 3 4 5 6 7 8 9 0 + 1 2 3 4 5 67 8 9 0 12 + 3 4 5 67 8 9 0 12 + 3 4 5 67 8 9 0 12 3 + 4 5 6 7 8 9 0 1 2 3 + 4 5 6 7 8 9 01 2 3 + 4 56 7 8 9 01 2 3 + 4 56 7 8 9 01 2 3 + 4 56 7 8 9 01 2 3 4 + 5 6 7 8 9 0 1 2 3 4 5 6 + 7 8 90 1 2 3 45 6 + 7 8 90 1 2 3 45 6 + 7 8 90 1 2 3 45 6 + 7 8 90 1 2 3 4 5 6 7 + 8 9 0 1 2 3 4 5 6 7 + 89 0 1 2 34 5 6 7 +89 0 1 2 34 5 6 7 89 + 0 1 2 34 5 6 7 8 9 + 0 1 2 3 4 5 6 7 8 9 +0 1 23 4 5 6 78 9 0 + 1 23 4 5 6 78 9 0 + 1 23 4 5 6 78 9 0 + 1 23 4 5 6 7 8 9 0 + 1 2 3 4 5 6 7 8 9 0 12 3 + 4 5 67 8 9 0 12 3 + 4 5 67 8 9 0 12 3 + 4 5 67 8 9 0 12 3 + 4 5 6 7 8 9 0 1 2 3 + 4 5 6 7 8 9 01 2 3 4 + 56 7 8 9 01 2 3 4 + 56 7 8 9 01 2 3 4 5 +6 7 8 9 0 1 2 3 4 5 6 + 7 8 9 0 1 2 3 45 6 + 7 8 90 1 2 3 45 6 + 7 8 90 1 2 3 45 6 +7 8 90 1 2 3 45 6 7 + 8 9 0 1 2 3 4 5 6 7 + 8 9 0 1 2 34 5 6 7 89 + 0 1 2 34 5 6 7 89 0 + 1 2 34 5 6 7 89 0 + 1 2 34 5 6 7 8 9 0 + 1 2 3 4 5 6 7 8 9 0 + 1 23 4 5 6 78 9 0 + 1 23 4 5 6 78 9 0 + 1 23 4 5 6 78 9 0 1 + 2 3 4 5 6 7 8 9 0 1 2 3 + 4 5 67 8 9 0 12 3 + 4 5 67 8 9 0 12 3 + 51 + █▒░░ ▓▒█░░▒▓███▀▒░ ░▒ ▒ ░ ▒▒▓██▒ ░░ ▒░ ░ ▒ ░▓ ░▒▓ ▒ ▒█░░▒█▓▒░▓▒ ▒▓▒▒░ ▒ ▒▒ ▓▒░ ▒░▓ █ ▒░ █░█ ▓▒░ ▒▓░░ +▓ ▒░ ▒▒ ░▒░▒▓ ░ ░ ▒ ░ ▒ ▒ ░ ░ ░▒░ ░▒ ░ ▒ ░▒░▓░ ▒ ░ ▒ ░▒░ ░ ░▒ ▒░░ ░ ▒ ░░▓ ░ ▓▓░░ ░░▒▒▓░ + ░ ▒ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░░ ░ ▒ ░ ░ ░ ░ ░ ░░ ░ ░ ░ ░ ░ ░ ░ ░ + ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ +░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ + + ░ tion est une étape cru- voit en tant qu'utilisa- sition d'occurrences de + ░ ciale de l'apprentissage teur, mais ont aussi lettres ou de mots, ce + ░ ░ ░ ░ automatique supervisé leur mot à dire dans les qui donne des tables de + ░ ░ ░ ░ durant laquelle l'algo- fluctuations du cours probabilité de transi- + ░ ░ rithme reçoit des des bourses mondiales ou tion qui peuvent être + ░ ░ exemples de ce qu'il dans la détection de la calculées sans aucune + ░ GLOSSAIRE ░ doit apprendre. Un cybercriminalité et du compréhension sémantique + ░ filtre anti-spam sera vandalisme. ou grammaticale du lan- + ░ ░ ░ alimenté d'exemples de gage naturel. Cet algo- + ░ ░ ░ ░ messages spams et de * APPRENTISSAGE AUTOMA- rithme peut être utilisé + ░ messages réels. Ces TIQUE CLASSIQUE pour analyser des tex- + ░ exemples consistent en Naive Bayes, Support tes, mais aussi pour les + ░ un message, l'entrée, Vector Machines ou Ré- recombiner. Il est lar- + accompagné d'une éti- gression Linéaire sont gement utilisé pour la + Vous trouverez ci-des- quette  considérés comme des al- génération de spam. + sous un glossaire non- spam ou non spam. L'an- gorithmes classiques + exhaustif reprenant des notation d'un jeu de d'apprentissage automa- * CONSTANT + termes fréquemment uti- données est un travail tique. Ils fonctionnent Constant est une asso- + lisés dans l'exposition. exécuté par des humains, bien lorsqu'ils ap- ciation sans but lucra- + Il est conçu comme une qui choisissent une éti- prennent avec de petits tif d’artistes autogé- + aide pour les visiteurs quette pour chaque élé- jeux de données. Mais rés, basée à Bruxelles + connaissant peu le voca- ment du jeu de données. ils nécessitent souvent depuis 1997 et active + bulaire lié au domaine Pour assurer la qualité des lecteurs complexes. dans les domaines de + du traitement des des étiquettes, plu- La tâche accomplie par l’art, des médias et de + langues naturelles sieurs annotateurs les lecteurs est égale- la technologie. Algolit + (NLP), Algolit ou le doivent voir le même ment appelée 'feature est né en 2012 comme un + Mundaneum. élément, la même entrée, engineering' (voir ci- projet de Constant. + et donner la même éti- dessous). Cela signifie http://constantvzw.org +* ALGOLIT quette avant qu'un qu'un être humain doit + Un groupe bruxellois exemple ne soit inclus consacrer du temps à une * DATA WORKERS + spécialisé dans la re- dans les données d'en- analyse exploratoire ap- Intelligences artifi- + cherche artistique sur traînement. profondie du jeu de don- cielles développées pour + les algorithmes et la nées. servir, divertir, enre- + littérature. Chaque * APPRENTISSAGE gistrer et connaître les + mois, le groupe se AUTOMATIQUE * BAG OF WORDS humains. Le travail de + réunit pour expérimenter OU MACHINE LEARNING Le modèle du sac de mots ces entités machiniques + avec du code et des Modèles algorithmiques est une représentation est généralement dissi- + textes publiés sous li- basés sur la statisti- simplifiée du texte uti- mulé derrière des inter- + cences libres. que, principalement uti- lisé dans le traitement faces et des brevets. + http://www.algolit.net lisés pour analyser et du langage naturel. Dans Dans l'exposition, les + prédire des situations à ce modèle, un texte est conteurs algorithmiques +* ALGOLITTÉRAIRE partir de cas existants. représenté sous la forme quittent leur monde sou- + Terme inventé par Algo- Dans cette exposition, d'une collection de mots terrain invisible pour + lit pour des oeuvres qui nous nous concentrons uniques, sans tenir devenir nos interlocu- + explorent le point de sur les modèles d'ap- compte de la grammaire, teurs. + vue du conteur algorith- prentissage automatique de la ponctuation ni + mique. Quelles nouvelles pour le traitement de même de leur ordre dans * DONNÉES D’ENTRAÎNEMENT + formes de narration ren- texte ou le traitement le texte. Ce modèle Les algorithmes d'ap- + dons-nous possibles en du langage naturel (voir transforme un texte en prentissage automatique + dialoguant avec les al- NLP). Ces modèles ont une liste de mots asso- ont besoin d'être gui- + gorithmes ? appris à effectuer une ciés à leur fréquence  dés. Pour séparer une + tâche spécifique sur la littéralement un sac de chose d'une autre, faire +* ALGORITHME base de textes exis- mots. Le sac de mots est des distinctions, ils + Un ensemble d'instruc- tants. Ils sont utilisés souvent utilisé comme ont besoin de motifs. + tions dans un langage de par les moteurs de re- référence, c'est sur Ils les trouvent dans + programmation spécifi- cherche, les traductions cette base qu'on évalue- les textes qui leur sont + que, qui permettent de automatiques, et per- ra la performance d'un donnés, les données + produire un résultat mettent de générer des nouveau modèle. d’entraînement. L'être + (output) à partir de résumés et de repérer humain doit choisir avec + données (inputs). les tendances sur les * CHAÎNE DE MARKOV soin un matériel d’en- + réseaux sociaux et des Algorithme qui scanne un traînement adapté à la +* ANNOTATION fils d’actualité. Ils texte à la recherche de tâche de la machine. Il + Le processus d'annota- influencent ce que l'on la probabilité de tran- n'est pas logique d’en- + 52 + █▒░░ ▓▒█░░▒▓███▀▒░ ░▒ ▒ ░ ▒▒▓██▒ ░░ ▒░ ░ ▒ ░▓ ░▒▓ ▒ ▒█░░▒█▓▒░▓▒ ▒▓▒▒░ ▒ ▒▒ ▓▒░ ▒░▓ █ ▒░ █░█ ▓▒░ ▒▓░░ +▓ ▒░ ▒▒ ░▒░▒▓ ░ ░ ▒ ░ ▒ ▒ ░ ░ ░▒░ ░▒ ░ ▒ ░▒░▓░ ▒ ░ ▒ ░▒░ ░ ░▒ ▒░░ ░ ▒ ░░▓ ░ ▓▓░░ ░░▒▒▓░ + ░ ▒ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░░ ░ ▒ ░ ░ ░ ░ ░ ░░ ░ ░ ░ ░ ░ ░ ░ ░ + ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ +░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ + + traîner une machine avec tion par autrui en vue sujets à des droits explorent et + des romans du 19ème de sa diffusion sont d'auteur soit parce que construisent des modèles + siècle si sa mission est permises, techniquement ces derniers sont expi- d'apprentissage automa- + d'analyser des Tweets. et légalement, ceci afin rés. Le projet fut lancé tique, collaborent avec + de garantir certaines par Michael Hart en 1971 d'autres et participent +* DUMP libertés induites, dont et nommé en hommage à à des concours pour re- + Terme anglais signifiant le contrôle du programme l'imprimeur allemand du lever des défis. Environ + ‘dépôt, décharge, déver- par l'utilisateur et la XVe siècle Johannes Gu- un demi-million d’utili- + ser massivement’. En in- possibilité de partage tenberg. (Wikipedia) sateurs sont actifs sur + formatique, le terme entre individus. Ces Kaggle. Kaggle a été + dump désigne générale- droits peuvent être sim- * HENRI LA FONTAINE fondée par Goldbloom et + ment une copie brute plement disponibles – Henri La Fontaine Ben Hamner en 2010 et + d’une base de données; cas du domaine public – (1854-1943) est un homme acquise par Google en + par exemple pour effec- ou bien établis par une politique, féministe et mars 2017. + tuer une sauvegarde de licence, dite 'libre', pacifiste belge. Il re- + données ou pour les uti- basée sur le droit d'au- çoit le Prix Nobel de la * LANGAGE NATUREL + liser ailleurs. Les teur. Les 'licences co- paix en 1913 en raison Selon Wikipédia, 'Une + dumps sont souvent pu- pyleft' garantissent le de son engagement au langue dite « naturel- + bliées par des projets maintien de ces droits sein du Bureau Interna- le » est une langue qui + de logiciels libres et aux utilisateurs même tional de la Paix et de s'est formée petit à pe- + de contenu libre, tels pour les travaux déri- sa contribution à l'or- tit, évoluant avec le + que Wikipédia, pour per- vés. Les logiciels ganisation du mouvement temps, et qui fait par- + mettre la réutilisation libres constituent une pacifiste. En 1895, en- tie du langage naturel. + ou la dérivation(fork) alternative à ceux qui semble avec Paul Otlet, Son origine est bien + de la base de données. ne le sont pas, quali- il créent ensemble souvent floue et peut + fiés de 'propriétaires' l'Institut international être retracée plus ou +* FEATURE ENGINEERING ou de 'privateurs'. (Wi- de bibliographie qui de- moins clairement par la + Processus utilisant la kipedia) viendra le Mundaneum. Au linguistique comparée. + connaissance du domaine sein de cette institu- On oppose les langues + des données pour créer * GIT tion, qui visait à ras- naturelles - comme le + les caractéristiques qui Un système logiciel per- sembler l'ensemble des français - aux langues + font fonctionner les al- mettant de suivre les connaissances du monde, construites comme le + gorithmes d'apprentis- changements dans le code il contribue à mettre au langage de programmation + sage machine. En source pendant le déve- point le système de ou l'espéranto, formées + d'autres termes, un être loppement d'un logiciel. Classification décimale intentionnellement par + humain doit consacrer du Il est conçu pour coor- universelle (CDU). l’entremise de l’homme + temps à une analyse ex- donner le travail des pour remplir un besoin + ploratoire approfondie programmeurs, mais il * IA OU INTELLIGENCES précis.' + du jeu de données, afin peut être utilisé pour ARTIFICIELLES + d'en définir les princi- suivre les changements L'intelligence artifi- * LITTÉRATURE + pales caractéristiques. dans n'importe quel en- cielle (IA) est 'l'en- Algolit comprend la no- + Ces caractéristiques semble de fichiers. semble des théories et tion de littérature + peuvent être la fré- Avant d’initier un nou- des techniques mises en comme beaucoup d'autres + quence des mots ou des veau projet, les pro- œuvre en vue de réaliser auteurs expérimentaux  + lettres, mais aussi des grammeurs créent un ‘dé- des machines capables de elle inclut toute la + éléments syntaxiques pôt git’ dans lequel ils simuler l'intelligence. production linguistique, + comme les noms, les ad- publieront toutes les Elle correspond donc à du dictionnaire à la Bi- + jectifs ou les verbes. parties du code. Les dé- un ensemble de concepts ble, de l'œuvre entière + Les caractéristiques les pôts git d’Algolit se et de technologies plus de Virginia Woolf à + plus importantes pour la trouvent ici qu'à une discipline au- toutes les versions des + tâche à résoudre doivent https://gitlab.- tonome constituée. D'au- Conditions d'utilisation + être soigneusement sé- constantvzw.org/algolit. tres, remarquant la dé- publiées par Google de- + lectionnées pour être finition peu précise de puis son existence. En + transmises à un algo- * GUTENBERG.ORG l'IA, notamment la CNIL, ce sens, le code de pro- + rithme classique d'ap- Le projet Gutenberg est la définissent comme ‘le grammation peut aussi + prentissage automatique. une bibliothèque de ver- grand mythe de notre être de la littérature. + sions électroniques temps'. (Wikipedia) +* FLOSS OU LOGICIELS libres de livres physi- * MECHANICAL TURK + LIBRES ET OPEN SOURCE quement existants. Les * KAGGLE Le Mechanical Turk d’A- + Un logiciel libre est un textes fournis sont es- Plateforme en ligne où mazon est une plateforme + logiciel dont l'utilisa- sentiellement du domaine les utilisateurs en ligne à destination + tion, l'étude, la modi- public, soit parce trouvent et publient des des humains conçue pour + fication et la duplica- qu'ils n'ont jamais été ensembles de données, exécuter des tâches que + 53 + █▒░░ ▓▒█░░▒▓███▀▒░ ░▒ ▒ ░ ▒▒▓██▒ ░░ ▒░ ░ ▒ ░▓ ░▒▓ ▒ ▒█░░▒█▓▒░▓▒ ▒▓▒▒░ ▒ ▒▒ ▓▒░ ▒░▓ █ ▒░ █░█ ▓▒░ ▒▓░░ +▓ ▒░ ▒▒ ░▒░▒▓ ░ ░ ▒ ░ ▒ ▒ ░ ░ ░▒░ ░▒ ░ ▒ ░▒░▓░ ▒ ░ ▒ ░▒░ ░ ░▒ ▒░░ ░ ▒ ░░▓ ░ ▓▓░░ ░░▒▒▓░ + ░ ▒ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░░ ░ ▒ ░ ░ ░ ░ ░ ░░ ░ ░ ░ ░ ░ ░ ░ ░ + ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ +░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ + + les algorithmes ne par- (1854-1943), homme d'É- dire des situations par- * PYTHON + viennent pas à faire. Il tat et prix Nobel de la ticulières ou à profiler Le principal langage de + peut s'agir, par exem- paix, créent le Munda- des habitudes d’usagers. programmation utilisé + ple, d'annoter des neum. Le projet vise à Elles sont largement dans le monde entier + phrases comme étant po- rassembler toute la utilisés dans les smart- pour le traitement du + sitives ou négatives, de connaissance du monde et phones, les ordinateurs langage, inventé en 1991 + repérer des plaques à la classer à l'aide du et les tablettes. par le programmeur néer- + d'immatriculation, de système de Classifica- landais Guido Van Ros- + reconnaître des visages. tion décimale univer- * OULIPO sum. + Les annonces que l'on selle (UDC) qu'ils in- Le collectif Oulipo, + trouve sur cette plate- ventent. acronyme d'Ouvroir de * RECONNAISSANCE OPTIQUE + forme sont souvent rému- Littérature Potentielle, DE CARACTÈRES (ROC) + nérés moins d'un centime * NATURAL LANGUAGE est une grande source en anglais optical cha- + par tâche. Les tâches PROCESSING (NLP) d'inspiration pour Algo- racter recognition + les plus complexes ou Le traitement du langage lit. Oulipo a été créé à (OCR), ou océrisation, + nécessitant le plus de naturel (NLP) est un Paris par les écrivains désigne les procédés in- + connaissances peuvent terme collectif qui dé- Raymond Queneau et Fran- formatiques permettant + être payées jusqu'à plu- signe le traitement in- çois Le Lionnais. Ils la traduction d'images + sieurs centimes. De nom- formatique automatique ont ancré leur pratique de textes scannés en fi- + breux chercheurs univer- des langues humaines. dans l'avant-garde euro- chiers de texte manipu- + sitaires utilisent le Cela comprend les algo- péenne du XXe siècle et lables. + Mechanical Turk pour des rithmes utilisant, comme dans la tradition expé- + tâches qui auraient été données, du texte pro- rimentale des années 60. * RÉSEAUX DE NEURONES + exécutées par des étu- duit par l'homme et qui Pour Oulipo, la création Systèmes informatiques + diants auparavant. tentent de le repro- de règles devient la inspirés des réseaux + duire. condition permettant de neuronaux biologiques +* MODÈLES D’APPRENTIS- générer de nouveaux tex- trouvés dans le cerveau + SAGE AUTOMATIQUE SUPER- * N-GRAMMES DE tes, ou ce qu'ils ap- des animaux. Un réseau + VISÉ CARACTÈRES pellent la littérature de neurone n'est pas un + Pour la création de mo- une technique utilisée potentielle. Plus tard, algorithme, mais plutôt + dèles d'apprentissage pour la reconnaissance en 1981, ils ont égale- un cadre dans lequel de + automatique supervisés, de la paternité d’une ment créé ALAMO - Ate- nombreux algorithmes + les humains annotent les oeuvre. Lors de l'utili- lier de Littérature As- d'apprentissage machine + échantillons d'entraîne- sation des N-grammes de sistée par la Mathéma- différents travaillent + ment avant de les en- caractères, les textes tique et les Ordina- ensemble et traitent des + voyer à la machine. sont considérés comme teurs. données complexes. De + Chaque texte est jugé des séquences de carac- tels systèmes ‘appren- + par au moins 3 humains tères. Considérons le * PAUL OTLET nent’ à exécuter des + par exemple, s’il s’agit trigramme des carac- Paul Otlet (1868 - 1944) tâches en observant des + de spam ou non, s’il est tères. Toutes les sé- était un auteur, entre- exemples, généralement + positif ou négatif. quences de trois carac- preneur, visionnaire, sans être programmés à + tères qui se chevauchent avocat et militant pour priori avec des règles +* MODÈLES D’APPRENTIS- sont isolées. Par exem- la paix belge ; il est spécifiques. Par exem- + SAGE AUTOMATIQUE NON- ple, le trigramme de ca- l'une des nombreuses ple, un algorithme de + SUPERVISÉ ractères de suicide', personnes qui ont été reconnaissance de chat + Les modèles d'apprentis- serait, 'Sui,' uic', considérées comme le apprendra à identifier + sage automatique non su- uic', 'ici', 'cid', etc. père des sciences de les images qui + pervisés n'ont pas be- Les motifs trouvés avec l'information, un do- contiennent des chats en + soin de l’étape d’anno- les N-grammes de carac- maine qu'il a appelé ‘la observant des images qui + tations des données par tères se concentrent sur documentation’. Otlet a ont été étiquetées ma- + des humains. Par contre, les choix stylistiques créé la Classification nuellement comme ‘chat’ + ils nécessitent de qui sont faits incons- décimale universelle, ou ‘pas chat’. Il utili- + grandes quantités de ciemment par l'auteur. qui s'est répandue dans sera ces exemple pour + données pour s’entraî- Ces modèles restent les bibliothèques. Avec générer ce qu'il consi- + ner. stables sur toute la Henri La Fontaine, il dère être un chat et + longueur du texte. crée le Palais Mondial, pourra identifier les +* MUNDANEUM qui devient le Munda- chats dans d'autres + À la fin du 19ème siè- * ORACLE neum, pour abriter les images. Il le fera sans + cle, deux jeunes ju- Les Oracles sont un type collections et les acti- aucune connaissance + ristes belges, Paul Ot- particulier de modèles vités de leurs diffé- préalable sur les chats. + let (1868-1944), 'père algorithmiques souvent rents organismes et ins- Il générera automatique- + de la documentation', basés sur la statisti- tituts. ment ses propres carac- + et Henri La Fontaine que, qui servent à pré- téristiques d'identifi- + 54 + █▒░░ ▓▒█░░▒▓███▀▒░ ░▒ ▒ ░ ▒▒▓██▒ ░░ ▒░ ░ ▒ ░▓ ░▒▓ ▒ ▒█░░▒█▓▒░▓▒ ▒▓▒▒░ ▒ ▒▒ ▓▒░ ▒░▓ █ ▒░ █░█ ▓▒░ ▒▓░░ +▓ ▒░ ▒▒ ░▒░▒▓ ░ ░ ▒ ░ ▒ ▒ ░ ░ ░▒░ ░▒ ░ ▒ ░▒░▓░ ▒ ░ ▒ ░▒░ ░ ░▒ ▒░░ ░ ▒ ░░▓ ░ ▓▓░░ ░░▒▒▓░ + ░ ▒ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░░ ░ ▒ ░ ░ ░ ░ ░ ░░ ░ ░ ░ ░ ░ ░ ░ ░ + ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ +░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ + + cation à partir du maté- Une méthode de pondéra- + riel d'apprentissage qui tion utilisée dans la + lui est donné. recherche de textes. + Cette mesure statistique +* RULE-BASED MODELS permet d'évaluer l'im- + Les Oracles peuvent être portance d'un terme + créés à l'aide de diffé- contenu dans un docu- + rentes techniques. L’une ment, relativement à une + d’entre elles consiste à collection ou un corpus + définir manuellement les de textes. Le poids aug- + règles. Ces modèles sont mente proportionnelle- + appelés 'rule-based mo- ment au nombre d'occur- + dels' (modèles basés sur rences du mot dans le + des règles), et se si- document. Il varie éga- + tuent à l’opposé des mo- lement en fonction de la + dèles statistiques. Ils fréquence du mot dans le + sont utiles pour des corpus. Le TF-IDF est + tâches spécifiques, notamment utilisé dans + comme par exemple, la la classification des + détection de la mention spams. + d'une certaine molécule + dans un article scienti- * 'WORD EMBEDDINGS' + fique. Ils sont perfor- Techniques de modélisa- + mants, même avec très tion du langage qui, par + peu de données d'entraî- de multiples opérations + nement. mathématiques, tracent + des mots dans un espace +* SENTIMENT ANALYSIS vectoriel multidimen- + Également appelé 'opi- sionnel. Lorsque les + nion mining' (sondage mots sont 'embedded' ou + d'opinion). Une tâche intégrés, ils se trans- + fondamentale de l'ana- forment de symboles dis- + lyse des sentiments tincts en objets mathé- + consiste à classer un matiques, qui peuvent + texte donné comme posi- être multipliés, divi- + tif, négatif ou neutre. sés, ajoutés ou sous- + La classification avan- traits. + cée des sentiments 'au- + delà de la polarité' * WORDNET + examine, par exemple, Wordnet est une combi- + les états émotionnels naison d'un dictionnaire + tels que 'en colère', et d'un thésaurus qui + 'triste' et 'heureux'. peut être lu par des ma- + L'analyse du sentiment chines. Selon Wikipédia, + est largement appliquée il a été créé dans le + aux actions des utilisa- Cognitive Science Labo- + teurs tels que les cri- ratory de l'Université + tiques et les réponses de Princeton à partir de + aux enquêtes, les com- 1985. + mentaires et les mes- + sages sur les médias so- + ciaux, et les documents + de santé. Elle est inté- + grée dans des applica- + tions qui vont du marke- + ting au service à la + clientèle, des transac- + tions boursières à la + médecine clinique. + +* TF-IDF (TERM FREQUENCY + - INVERSE DOCUMENT + FREQUENCY) + 55 +◝ humans learn with machines ◜ ◡ machines learn from machines ◞ ◡ machines learn with humans ◞ ◝ +humans learn from machines ◟ ◜ machines learn with machines ◠ ◜ machines learn from humans ◟ ◠ +humans learn with humans ◞ ◝ humans learn from humans ◞ ◠ humans learn with machines ◟ ◡ mac +ines learn from machines ◡ ◡ machines learn with humans ◟ ◡ humans learn from machines ◝ ◟ +achines learn with machines ◠ ◝ machines learn from humans ◜ ◝ humans learn with humans ◞ ◞ +humans learn from humans ◡ ◞ humans learn with machines ◠ ◠ machines learn from machines ◠ + machines learn with humans ◞ ◜ humans learn from machines ◜ ◠ machines learn with machines ◝ + ◜ machines learn from humans ◜ ◠ humans learn with humans ◝ ◟ humans learn from humans ◞ + ◜ humans learn with machines ◡ ◡ machines learn from machines ◡ ◟ machines learn with humans +◠ ◠ humans learn from machines ◡ ◜ machines learn with machines ◜ ◟ machines learn from +umans ◟ ◞ humans learn with humans ◞ ◟ humans learn from humans ◜ ◠ humans learn with ma +hines ◜ ◠ machines learn from machines ◝ ◠ machines learn with humans ◝ ◞ humans learn f +om machines ◝ ◡ machines learn with machines ◜ ◡ machines learn from humans ◜ ◠ humans l +arn with humans ◡ ◡ humans learn from humans ◝ ◞ humans learn with machines ◟ ◡ machines +learn from machines ◜ ◜ machines learn with humans ◠ ◞ humans learn from machines ◝ ◠ ma +hines learn with machines ◟ ◟ machines learn from humans ◝ ◠ humans learn with humans ◟ + humans learn from humans ◝ ◜ humans learn with machines ◠ ◝ machines learn from machines ◞ + ◠ machines learn with humans ◝ ◟ humans learn from machines ◟ ◞ machines learn with machines +◜ ◞ machines learn from humans ◞ ◡ humans learn with humans ◠ ◞ humans learn from human + ◠ ◜ humans learn with machines ◡ ◞ machines learn from machines ◜ ◠ machines learn w +th humans ◡ ◝ humans learn from machines ◝ ◟ machines learn with machines ◠ ◠ machine + learn from humans ◞ ◟ humans learn with humans ◠ ◞ humans learn from humans ◠ ◠ huma +s learn with machines ◡ ◡ machines learn from machines ◜ ◞ machines learn with humans ◡ + ◟ humans learn from machines ◜ ◜ machines learn with machines ◜ ◝ machines learn from human + ◜ ◠ humans learn with humans ◝ ◡ humans learn from humans ◡ ◞ humans learn with mach +nes ◜ ◝ machines learn from machines ◝ ◜ machines learn with humans ◞ ◜ humans learn +rom machines ◞ ◝ machines learn with machines ◞ ◜ machines learn from humans ◡ ◞ huma +s learn with humans ◟ ◜ humans learn from humans ◞ ◡ humans learn with machines ◝ ◝ m +chines learn from machines ◜ ◟ machines learn with humans ◡ ◟ humans learn from machines ◠ + ◝ machines learn with machines ◜ ◡ machines learn from humans ◞ ◝ humans learn with huma +s ◝ ◠ humans learn from humans ◞ ◜ humans learn with machines ◠ ◝ machines learn from +machines ◟ ◡ machines learn with humans ◝ ◝ humans learn from machines ◞ ◞ machines l +arn with machines ◠ ◠ machines learn from humans ◠ ◡ humans learn with humans ◜ ◜ hum +ns learn from humans ◞ ◞ humans learn with machines ◡ ◝ machines learn from machines ◟ + ◝ machines learn with humans ◠ ◟ machines learn with humans ◠ ◜ machines learn from +machines ◡ ◜ humans learn with machines ◞ ◟ humans learn from humans ◜ ◡ humans learn +with humans ◝ ◞ machines learn from humans ◜ ◝ machines learn with machines ◜ ◠ human + learn from machines ◡ ◝ machines learn with humans ◝ ◜ machines learn from machines ◜ + ◞ humans learn with machines ◠ ◝ humans learn from humans ◠ ◝ humans learn with humans ◞ + ◡ machines learn from humans ◜ ◝ machines learn with machines ◠ ◟ humans learn from machi +es ◜ ◟ machines learn with humans ◝ ◝ machines learn from machines ◞ ◜ humans learn w +th machines ◝ ◡ humans learn from humans ◝ ◝ humans learn with humans ◠ ◠ machines le +rn from humans ◝ ◡ machines learn with machines ◡ ◡ humans learn from machines ◠ ◞ ma +hines learn with humans ◝ ◜ machines learn from machines ◜ ◝ humans learn with machines ◠ + ◞ humans learn from humans ◝ ◡ humans learn with humans ◞ ◡ machines learn from humans ◟ + ◟ machines learn with machines ◝ ◝ humans learn from machines ◜ ◟ machines learn with +umans ◡ ◝ machines learn from machines ◡ ◝ humans learn with machines ◞ ◜ humans lear + from humans ◜ ◝ humans learn with humans ◞ ◡ machines learn from humans ◝ ◡ machines +learn with machines ◞ ◟ humans learn from machines ◜ ◞ machines learn with humans ◟ ◡ +machines learn from machines ◜ ◝ humans learn with machines ◠ ◠ humans learn from humans ◠ + ◝ humans learn with humans ◟ ◞ machines learn from humans ◝ ◠ machines learn with machines +◜ ◟ humans learn from machines ◠ ◝ machines learn with humans ◝ ◜ machines learn from ma +hines ◟ ◟ humans learn with machines ◞ ◡ humans learn from humans ◝ ◝ humans learn with +umans ◡ ◝ machines learn from humans ◝ ◡ machines learn with machines ◟ ◞ humans learn f +om machines ◝ ◟ machines learn with humans ◝ ◜ machines learn from machines ◝ ◠ humans l +arn with machines ◠ ◠ humans learn from humans ◟ ◜ humans learn with humans ◟ ◝ machines +learn from humans ◡ ◡ machines learn with machines ◜ ◜ humans learn from machines ◠ ◟ ma +hines learn with humans ◞ ◜ machines learn from machines ◠ ◜ humans learn with machines ◜ + ◞ humans learn from humans ◝ ◟ humans learn with humans ◟ ◞ machines learn from humans ◟ + ◝ machines learn with machines ◡ ◜ humans learn from machines ◠ ◠ machines learn with humans ◞ + ◡ machines learn from machines ◟ ◝ humans learn with machines ◜ ◞ humans learn from huma +s ◝ ◞ humans learn with humans ◜ ◟ machines learn from humans ◜ ◞ machines learn with ma +hines ◝ ◞ humans learn from machines ◝ ◜ machines learn with humans ◟ ◜ machines learn from +machines ◡ ◟ humans learn with machines ◞ ◠ humans learn from humans ◞ ◟ humans learn with +umans ◠ ◜ machines learn from humans ◡ ◠ machines learn with machines ◠ ◝ humans learn from +machines ◠ ◜ machines learn with humans ◞ ◠ machines learn from machines ◞ ◠ humans learn w +th machines ◜ ◟ humans learn from humans ◝ ◠ humans learn with humans ◝ ◟ machines learn from +humans ◜ ◜ machines learn with machines ◠ ◞ humans learn from machines ◠ ◡ machines learn with +machines ◡ ◟ humans learn with machines ◞ ◠ humans learn from humans ◞ ◟ humans learn with mach +ines ◝ ◞ humans learn from machines ◝ ◜ machines learn with humans ◟ ◜ machines learn from hum \ No newline at end of file diff --git a/data-workers.fr.publication.pdf b/data-workers.fr.publication.pdf index aa28e51a725fc86a40e2fba9ea756d8d7d15b529..cee22deb91dfea6a8256b87fe634efc1f216067a 100644 GIT binary patch delta 157145 zcmY(IRiG9}v}SRa;12oS-QC^Y-Q5ZP69|OhesB#51b3I2%1!upX?g)>>nco&~I`^V-a_28Mw@+Va+qM0dQ#%JfXWV@8W!IZ8yGqZyv+Hf? z*y_)pzx+je(RJ{#v$|?ym3Pm#m#6REgI6!t6mxFy_mJPcK!OhhhXz}zdP{o)tkHZdcEKgekleXqi=oF zy0s7gee>_Y*37l5bYE^Bnmpmy_75%L15j%_Zd)^V1LpSomep&%XAbAE55k)Zo4(h` z`yWMj8#=Xq>4&Db7jSWS)84y%Z9F%wetOg&{mOvs)o(Y}UcY9Ka_ZSgzXM2n>(s3l z@_o)nBP$bsMJ;T)YS{AI-M4hUAi|}Ga?_bMRAFzbfY)lz&+mgR(<3tYMppw}`||5c z{T)ZYWWxWg;G3{+R|i~bygktNT0Poc%};wyyc}?;<>o!yOKqFpvi56utx4{;tGCW%-mqk13f zwg=zvP@waJTaDPw-sIbNz6GE+Zo4l*Z#ZGk_S=S!4g0k{dVEjlCAS~1I;bAES)XBT z_uYNj?jwB82-vN*w?i)rA3+}*4QfB{x4&;C`Zf99mD_m!$k=VtOUK8a?56X7$L;BI zTlEt5GV-y-SHz%ByGFJ@;a|O{<+q>iZ)*_Q+T{Ml;lx@IqxGV6-v#W0`X;o%?zVp4 z&ELK?Ts`$zdHU;_?C0-yelFav%%vQy?#Q3+*MxSeQT^{@c4F$!YbG3g`&e-PpdE|e zwYCoo94SwHaQ^w1aicyC5r6s_II!#K9c|kUs%Mxj`7~cLllMpQdn48lCae&7D;pE=&KMdjDV|1vt1 zhwiF2vEMoEGI!tokv;bhu)3L{)0m(B+-u*O{p(I>OQT%K=4m~nco<;t~q%ou$u=GJh9+{@9-$(tyFK_*p6~Z-+^y0c)I-iW~^jJ19tE& z+gR??{(-%9Rr)p$U8AS|w)Sho0lIh_`2~2gCb)I&!e_mfj=AUPIboi(_6u-4?bPO{ zp!460W9L2}JAWs3@7himAD{ns^`t}MYk8Nk@YkdLi`unHZ9hdH@UX`gjmeNj5AEa| zy||0>(VV;2{_EIxBWB{nFK=H5sR!=|YleALTMVra99-<|G`9K^`1Rbk1Z|?9V zKpv~G96}ZR`>#Ff-M}<_Tgd2ed*ijCt^v+)gJt`L-|t%5 zNajR;TB1+*uc1e5+0e5SdCk@X`t(WJ_0IFi#J{R`eB^`KR zgSe`>eQx2>iK*Aflhc2_BmA}6c|l_QkvBg@+3yBu{KZ~Rg;iVIcHMSf+4CF6)2LoI z{dlpf<&?;pZWHK|qs=;k@kK?a;fC2GC%?>`XeDU=CJv-#4|4Cc`u0m2Hm{9m&c8p; zzdRJXA%BsYvrHsH?vQlXlmhwzf=8IA$%Nq=o;o_duYesCI>zD{K)f% zXE;L*+l8U}C)XP}Pkdqslyvvvug@By+M6&Jy`V-Tblc<@B0&ob*J88;QFVJ&dX3s5cwYs^r^IO zVau(~L#jD}(41Ano$IZy;?seb`{s>S*uMsZZwhmRe5+^a`FhZsT~G8IIqllQ-VYyK zZoPXUf-(J~5FMWROAz}fVZxUB*^z@Q{r8_`cQ~WnHL3%H4qV2W78~!Jn?-j*RZE>7 zH=#lv1EwR6O}XD^|626$W}ERx6=XI2Qh8os=EBjnp^y0KV9b z#eb!jOE#@p^mTdT$eNCjZqqxUzg!I%5Wdek#%@8c0fbc>C?^FL)H^E zHoaG^w`Hg1J}Jw8`+QjsLUq+##@Bn@XQ_+tj<+5{tax|%7bo&6cFQBQC;RXA*wN&_ zW#me?)@$W=zHGnv-nTa!j-9kU-hqQUQ8O+Hn4-4JS_ApORZK_r=d& zr)RM94{hD@MJ0QG>Bg+F&zrorM%LLMuF{*w+58)-Ov8%V|5eW(Z_w&yBh8`zCjb2p z<)3ya#`5wd!o9W`J>zIA;fiKXLkgYP}Jkq1+YaEI|=*~W+utD`+wXm zAzb4R&Q^Tv?&^Gjj~Ll$t#fN*M|aJ%|CasL|H$)gE5!Eum;07}X4E|Qj9+l2!|}sX z73ZjC)?vbcpQ}f1Dz`jYvV6~xo2jI8`M5{3cK>VOZ9n?p!RTLT$1SH@P=fF-JI<^* zgWDG0)4KeuRepzYs$Dr?vn=6ZB1g>NSJJrEEz9D8Bx1r5Wx2+_}qTHWL?^_Efd zDBGb=hDLkUkaX_Q*kh33R`9T`;!g*DZ;h-ty$NiT~Gzq?nd98jcT*6yKQRg zjOI{!@-HiP4|}lpLZn%PCBgd}E{&MsG#wd4Ml~2yUzKRS&&)7co0yijBqZlAA35dZ zl#T6eHwO}8o}(+pzXE!!uZ<6B$yW@U(Z#u#J?XKp)zW@b`YnR2ndLLVQ0VyMJSe_4M58?5VhJyP#_ z&r?Tv$!rTWr^$dVhIw;IqgbD>4{`o@dg0WA{!f-HXfd{Zj8gGxX_RT!F$XEj`OwaCW)&qKc!u%E!X~GfD zakbn7CdD#;{d1v#FWS2&Y}?-U#?QahoWK42z{*ZhOS@eu*GSl-r!Br(5%0r|If>h% zp254tDQ8+788M6BW5rD3=dLZP{QB$v8<9JTgYh&ytFQ+G6qkIpkThoAu@_deV3W zZx4Z-upj-W)x1_U!c#BbOt;;YKyLru|8%EGK-rD#Mpka>K;oFMWpHB6zsv@!sv*dL zd9BWy&F~Z&KUsV4Caib!V--x&-sj?&pqi>eKfy0O{?@yCPdk&LyJ7wMS{+ES2Y^p9_0|R*pwZia|)dr@KfsbvPui% zmS)ck(1yl6Tbo0tmeL^w-I&sqNSN zxLa6U-QE$QHhk~5V%p!ypBB!bm1eiS4_U;bUl{OO&H3*i$SKZkY}=!2ilcVquZ=0l zmV+kwCT?wC+}2murnO*Y<5kW3z*@aa4tOuwa>{@FEadp*^M6f;PTtga&fC)RTgXd8 z3&-ms$vwoD{*ViQ5i}h;ux<~_dWf>k>yIrP7N35mb+t1Xs1-F{xN#)E|D?|w#>TTW z9c97ivxAH0y7azxxn^S9PDjMr4)<}Nk?Xl<<{#z`obe3OdOi45yy>J#Z`y}vp>^>g z#t+wL%vpnZEl1z~)3R`e<;|pD8%#KL{;FgHfATBIE5SMJ8slB+r?2)2$Hqx3E86qs zUARZw%HO(D=BqBqHhQRe`dM}P?vW+(N#l0nZ?)XHV8`y-TiuV|8n^Y5AiB5zE5k46 z65a1MocWjft@HJFuKZ%?nH|)MJvYSe+I0-F(zQpYqssf2W*izExq~rnC*OIsj=RaS zW9G-c4<;@D4?2S)E_PCmTG?XR)+fIonMqV(WZTBlZ{WR{yW+&UpTMr=_A!A zm;2K`1ct49wRjBS&!dt3@0zdMPe0$|0BSGj)355&kvlarhaxC9e?4%>x~9?F9^KEa zf8-sE{ACp!WS(#Rc0aRn>A+VHOp&l<>XI(NYldjs>*r;&MxU14JHB)D#@NR5!w-Y6 z>k*^nb7{%C zi|^;`TCL9<`peW*WZm(G*aG@#`G%pL2P^^{+R>@D*WiDP%vCi9Yc?EZ#bh%EvAl}UzIff1QJPwhzA28;JlF#i-e%l+(Wrzxs6NpwsLHH^J>;3wHGA)co$}Jy(A3vRrRXbdk<6+lEi6?-hO4!_Tzm5~yF@@?Sa~8fGn^G;qmCoA&j3=>24s@e}0d2WK!FA zmmB=qh@T$XIM{y1F*)F=Ej_V`^uhM-XGZqB+`oO#>%-Q~dfIpF5FZeHvIV};-c$Xq z)QCDfK`H0IQCH9D?hfgZ#vIuRI~u*mIQv__V(Yal7G=5e=;;ZMMY~@vDI(^C-E}ENOZq0!8&YPZ81)Rm>Z$BM0@X@pp@qXCfJM7&95Xl4d z=7ckXF#>@AUa|f=beC?OzR{h&7m%>gV^K@CHNEhDd&|?nw$;R#hiTq_OO=#kvH=Mm zwh84)?Zw8t=PU2+-8|^+9I&nDu)u*SJYMiURgpG zuL%y>NW3r|&YL(~aLIe}_orQxOS~t|Pu?upGulg6{(g4r)D!J1#i*t$bKK?QonJ0K z@jyEF<@LP)Aa8t$-}q)=+R|IB#z6MQkK>2-8kOz(@XIF1>$eAno%pHR>0ao_i6hM( zzjN1IkA}~0x=Z_daL!TlOcXt4l+u68h}xdQ7pC7Rz2Rn&BNwTTwp-SXK5@T$@usdQ zg$t?)d>4Q2_>Z=)>g2E6I`<#Q`nCO~o9pgu>`%z|Sbe+O@;9l`8>He3BhiO&%Qw6k zINGQ?cya~h!%)-LE|zmQY93#%LO+C%2cy{K*>}CuXXdQFdmwoI8*{O}X3Y5J4gZlU zTK~8M9ltbkoZKq-9V1!$mzXx(8XH5t>7<1YP46&$$ulFcm1*XV+Tswsw8ateu#-b; z?ks=M?~3HY$FqAbfl7mCbpa0T_Z?f_B-9e8PRL%<){kxMZ{5G{)P`q{)}57A4Cdj& z_V78h=G-gy?@bT#u60qYnslz?^5WLUBi$#1k~5?~rW}6$&rz@C?WkO6V5izCN7cmU zt90cqH{T^XjWa~L$)~y59Ud39Q+gq`EKjpn*Y|h-QrQ@7o&+MRELJlGv4hI8osWheDdGx)erlv`ZwVk_WNIxhxEL9>vOFg zG0m<$He`0Jv|@1I3#UqLTAaGobo@E!Z)->V+BI*V{;}2Y-*z{Qw3x*xgCytYjcq<& zJz@#(pwNCA@ve7)S2MnL^fOog^r8;wgO9#KWr*tQr)@P)uGmLxD=aIX+H=3dviC#0 z8%fb_WkdfBr21ahoKkw5tjm1yA#&GA^CtKCX>*4r@6Ts0Y@Q@6Z|%F{kDE7FU0d6e zVtd~of8(!9YY$%d+(5p$+d1t! zLAb;C$Kxi~v{l^Ll}#5qY`02^xwU;SKe4YmHtylc*ujxI`KDUJ=Esks{CjiXgxj!}x|gJnwvV)rjlaUacKKRu`xW0Z>=)Ab&fYGbQesG(!f80KBy>qvldvCdCO+25)S{#iZX{zvSt=lx!8{>qqogt+!BzUbA9Z4;~Cl4|$hhYI~{3VKn$u{pp?hcOL|f+1gE=45wZU5ioL$+?;M(x%~dDxHj zSHedu?iPtPIB{a=!{UhSj$2!Q**WhZ@9Vx=8>A??*F~~)Z0kd(_K%BiEDfr1iL(~p zq4YD1)J;FIZRVkgFJPb8>ClRKmRA%XyOem`VzVVOeCIfiZ}h{$&Ml`%?UysV*-tJ0 zwCwd)@aoU)+M-eo-u`_WgZ{H2dEkdDJns89zpS|Y=H_?Drxyut?@y;`_rD#gnX}%3 zJ}SL>V)2iK(Ib0S_R6>E_uIRlw{k{0s~yWP|NF81>fjrR)@}8Z`ICt#Qawe^COc}P0w>Yx!OHW>pZHwci{r+WY@7AZB z8-QvlS$R^^>*nJ@|I|+EwAn+82p%%y143_ zrut#Rg~6CNAE$lzaIJWLnr-KRcdCnn-d}0_b>P=44_AHL{?1d|cJ+@dpL46Lk#AdX z)DFnK*tz?cO&?C*z+!%1FKP$l-hD$3 zw7h@5;>Zxjmv2v37d>0wZM|CTuvJz(^)G4B&KEij!55SF8iH_Rzvl0qpLF2#xW(J0FS>J9?z&a`k$9Z=e(V0w zj;EWtd&_;lt6p^Cy!Vgz(P2&Pr|n;V{CBtGJ=4IqTN+yb)IKV}+>-`aCseolEl;-h zTXJ!2d(?oLyCsKuuXvx?+P3Bk@9f=#`n^**OpuEny}~H$ITr!fhH{YaX$&0etpEnKED_4wQ=lt((dbncIcUh zb{D$tT_^hZ{iox%POt1oZrh<><7qelcvn5Ux%asbXkz;Tyo0ga!NtvY3}}DZ+xhvP zRP<%8z3S1^Ouyd|JA$2$!Ct-D`H?yP_)_gKgE_wco_= zx;g%0uLJ8G;pyg!_0zAOeSBsJFW&y~jbO{6X|Z=$*eh4*+7rXI$88)day?V??%m~} zw>GX$y@$QGfwjiA9zG(l>vh*5^Ay+KfqjKxF7Zv)co{8-X?xew(mwhA#Uu9A`#0B@ z_4)ELS?658Yu0~V`jmWeNQ2cA`!32ppUWylhkU+tPT2R&4b0_9wX1J#9lQa*jx_M% zwO6k$KfNJ4*>mRX`F;8v?cKc^hYqa$_;vrxg-_?6t=?VV_RhTPJnq0WeBhg>`@i1X zcbWB9EDC-2`?}31G$&4Kbf3`^OlVm(P4Yvr*!I<|6X4E zy0#bT_4z5R@zuFAy3KRaxuwwi+mA;qd%E`=*tWi!?F-oc;^U+vfBfQ$X*Z}HZb~kpFLyhTN0BSzx!!)>*q7(%ox(_=1TGh6nDzlTKtoK(AxRuI$v&}FTD?Khpk_{Z^YA8D{ge0&^OzsTO@HYd+9cDC#L(qykz}nlF_r< zEZ-rOj%>MaL~zrNf5fLYIIjwh2LIdimi}%2z-d>1)Q^qX^kK@R@g1k=03WKf7F=$N zQn?rjWLor_Q@LdxnfY6}Ct+#Ggs!m;~b`gQ-?wSESs=EM;8HQd|Ez)z8Z-DiKQR=%0u z9C{c@@7P7#vi;4FLA%qx+^w*7j$8ltf#7BKyJtnJ_DgkebnD`WR|6j|zW=<`bFI&@ zfz)*b1ncs&h77o@Xx85QbIuXR)`??^s_ZmY@$YL>2HuaoUjKUZ4x@L<#iI@T>u*e? zeMr|loz|dt&5LOby3_!s*R8hNE~#Yc~JS;y2!rnpgj` z7|T0WgQ{sjs}9?J_~xBH_j0dR-^(q(`Gj-!PM`Ai&OiRSaJNr5^=fsp_4nAyodkh<$SY&2rU}3Fyg09XKKE|-vVFU!?_U1>+=Uwz--)>wF0~Fn%WMYJ zvcC-*@J#XJQuUeT)VK9#`hV7^E^M>*Ir4eP7xSA1rS~)MZrnU^Jn8uBhu#gCFMZO;{Clf$T@EF_62P95T`G@1(RvY^F8rUWTK^K#v~iU{qB8zh zWyu2NEIb4?(G^f;k}8K8{5FW*ws)Hl$D{qBvd^T1)^`bzXD= zYVsEgFlyO^W+%02ttn8+hPXPYRwDGFAwh~i4n{{+85SBYN?7H2W+<2wuvN&YhZY5; zX)Lmqufpg!P>REe34`rvs#OD$l&Aq}Jd4+JD-5MQfz$&GdVtQyWx=Cxywb(P!^KKl zGObBhlhLBM!k{ZM97hKDCs=|(ubfc9#+nqoW?;S@4P zn>J>}M3maPeF=+23WVI7;HyPyTahHE@##8-TL8*XP$anoW0sjoNJWrfM1ab88`d34 znDbgw1p}y%3}7XhT?Be*GB7PC20_658B4xy1ag$kq=db2s26Pt#+3?ww2&9vv~@PO8!AyK_#QQDQXdf;X<-GEic z9m*_Lsr8$yCcYTvvYOZmrcD@eCfqWyN`fuADgYQi2$2TS=n^AD&Y7g-a>Pn0LhNjv zQ=>Jcb4qfMi;C)SA{91{1E<{vwiXD&IpuYGpQXTZ@@yz6qNv@Oq|M+c87vU9g@EIh z#6bZ>z)Xh3av@(?&YH?q7`*^5#%WGX$P=&;7zKo*?4{@FIwai%)2K)&HAaQDQOQ_H z#43dwEVd#Z3e+c&;kyDNuX%) zbjC>s!|0|o&acOm0R|^4Lvma4F#sAU9Ku{E`9q4VIjj+D*c>yS%Y{NTHVw+a^N=A`Lc)*o@H9ysp^#u1L(w#^91xIQ z01(&2G0+6+94W{LCmb%4Ea<0819Ufv6mq6n%0$7WsL0hZNJ6MECaj*aGQr0rtX6h0 zfD&dD#b}O}BBoV%aZcmHxMd}LC<_kmKaC#xP}T=p>u06nS@LPF_cABvpFop zM^x;L&y>pXqf!{z&L>q=Ry7nyR1u}}AOt6u3bklw)D*|4eI-P&0+qo6AaP7XD(TrU zj$B{}acKc;Nt08<*=~2rED~bz26`Z12^NqbDM=OsmSMm^$sV+qk>r@UQlO?1g_uPJ za`Jdpwjd+3CK8gcH-Q(KO`1rMhs={WD7@JSu|@4Uj+Z40fQmW2*5_B)go-dt3ZcNA zc5;LbF!u~ifVFY0vxj}2UHN_C}NIaQfG8dD@&3kgZX$tob42; zf^uH25+TuOZk5bu)FVVR7Xgz4g;gOu7ePmIEPiK&Vk_%Vaj3#50O6%%NEs%QWf?#l zfg;u^ASep8K$KB=P>Ik&5`aThs6P;i5-X2SLui5?t1wjI zx>zAd(F$^uSafYv0^r1K!8+5+w-Pfjsh5t7i8Fje2_TC)m^2g19Vi9dj+`-raoV*R zNW>i0!IN$TCGH72?J)#`s!g%^Yzjq>OE@f5vWG>8V8HLAO;@DtVT|Daw!Gq$AhK<3Jtq6qL=uzo-GOPoPfK@7T8BU%7gR(|_ildY#Eg)`*jisit zM4(#A(uwhSdyvY^Q;{q&90&-=Lm)HT1rRcdF`X|Pvx^f|HXK0KlQ9;iFO3T$Y;gn` z5=;WXPHRYv!eiiG6u?wSfPlr4*bB7<3M989ZcBxk$x;9u;FIxaOn~CZvq5Syx+ro$ zL^hc`0i|T=y1XSTGcfh+44;zFV3b^8DWGPc;YA@R?Z9hndQga^2c>ycu7CZt7JS;d7M#7yU5Yl6l z1B)c7kf0DK{cd6;=fR=$@C2R|lw{3JABPIC8W9yOQ4oN_aSDViX=Q=544?y=^`TN# zGr(pH#so2u$YZ5blo@`&s|>02W(bp%VZ+KvybD4?qC-@-8?Q1_D0m<~XQ6lr7Au`8 zwiY#J3v3Omj%5Qbk-uo!#vY+vx~LxC~O;RM-I2iPWJ@Y!X{S0=cY89YO|Jn z1w}Jhi85m>q8H@=%6OK8VhCU?X)2X2`_*t{4lW?YC@>WO>Pni+9Fr)Pkw+6LcGe7% zR{V+*UQ~i>3UvSli$W=Q1{|gl=PQP)5fyZ(_3jv!?G^IWxDk0oCtds_Ivy?eEM!`|Lq&6FoLM++H@Hh;?N>IddrNGSz z^MJ{^gy5GUTqaM_D^S8%b|y5(&APc_Juz&}g$#_U#i>ct(te^nXR^YrJgy$?2&NJ; zIGK!hktCXeAcuz;X%(jyKrkR!RIq?<( z)E@*3z)YZ9Y+x}MZkVH-;%SKibS%r`K?n?Q3FJ;<{78|`p2Q^#C9e$17wIh#2uCQQ zIIw&~0BaGjX-ItvB#+UF9;6FNV!2Cf1zr{-=}Ek>3Wnw?{0evw?jcGL6pX6MD4-SL zT-sa|0hsv$gbWqA3Q~rSN|rm=1y3F!W-^^j0NWA9`6ZOFgr-P)EN+W1q^By1Dlagp zlcfNjKsM-x$HR5^jiQ*3@gPPZ!ERP4$pVJMU+{^n0;0=mOlp*TJqN*)(L6?j-pI{V zc-B-^8wKNC`T}1IEa609n3n!^*N`pB-NQ>q0bgCEtihXIlBn*~n z;@Vu%f%hlWnlPm5sza_I&gv6qp*9gu39(8*NMu~BP3B}Oo{@nI=>dSS10~Z*2yw6o zNH_9GRxz(o$eO8zGTosSdmw0&#S_7U@HrbgM@>N>EF}m<_liX}ZrPJU%0hAy(1XI$ zB{r?HBK5iAdAeJZ$Ga`j5Yb;v%3;MI%}Yjw>B<90O-dDoSty zDam)y^LddbAJo$wp(M=A10(Fdx=czgO6&%dtPt_*Ob#H=0;U346tmQ0N<`Hbzk!y~ z={2lO07u3N!V!TLjpi{@GKW%?Si^a&y^zNNqA8Q8LNSJ* z0J&eL34;S3BTyd;<27EZn~6oa7|O7R1-6vkM!cLM$>c&*jV=cvn+Px}h6Ezz%wh`4 zUm%kR5VI4(ECHQKk|Cx9vq(vr5S0W#74{G~8A1nm9+g^_%1agEq)A#8*`hqJ4oa~o z5@8G@i>}Ha3d7<~8be_v15s9ULKp&O!YZ>RVDtb;SYafC*UK1OA)4vuO7v#CA!4iI z%sc@QO|#Pr9-D}pfX8j#l3AG+`ABkBB7u$26)6-YP4;Kg6q?+t&IF(_Ndd`3(#$C_ zj0eu-%q5nd7X#K|WmaB9WKeFT8sM)JB^oP~q>=E%T8xg5NyTtl0}sLg6(BULw5Tz$ zoJ0VOh>cX`SW}Ws!p31PJQ-d@A%v8I*_dMFF);{xG z3Su-wm_=rg1uICH5-6)0c}`Z8lt=}`2jXL0Z(yD6l@Uea+dN@leSNTRyl<%rv(!nLnOmf7$7E*gJ^;iQYODLjw|SZWC=%; zH0i*IT+oK62vGzFFyu{A)W%AMg9Qm0X$4g$5<9D5B^~YuIRtc<3>{$RZ0byq&WAJ0 z8dRjB(%LoVA|b0{!Rtgp7@~KmWS$_$!14-H69O2;&o3`VFiN}x_i z(FTa{(&d!TU#Bf{1PhqUfl=%JHr!%DVv@AmrLt>X-_7pL6Jy4xGm@*khDo;K4)j=fdIc-1BW>TItW#6^F#wh zD&Ci}VFGbooawV@KtOb?Om%>T<_enTCTCHI2p)|GGE)jqMs2|n{Rn+NO$$O@1dv=} z4{>|4W$vO8uC23S31q04&qFX-Pe|uyCk=AkdIGyc{rc4P5{|4@RT##hDab-vK*SOP zTn5JBff|ioK&DJbvPc*tFia$oX>yn0YSjy$OI`Z;KixX ze3pkL3ee#!j>Yh&#oQFpBrcH|3^+6F(i_7Xpi7p=(P(9Wg6`)P6*NU1b3l?5Ln#yX z@Gx1FJgAlCN)=2ZoM#dQ5gaK4x1m{Ok6VPSV~J!%;FeUVIz`G-aAQ%@qL%6L;GG6_ zkP3_HayosGWw$yxISgAL0?BcKBAPJ(5eqg|Aqg=IO>-m}z>+DMlU?fJVbwP>|;1~R6nLQ`mDnUn|2 zb|}jdMqY`vSqf6r3JX(G@GwM-o+ii5NF>B)QEuVmAD$5NTI}DgB7R|sQeyq&Z7)h zaS{av#PuZuL4Fd!uZuuljSpru$F$6BE*|5B#dNMwD=4CpO039kbz=o_l@F~>am^wK z&&e-PkTewE7XxBINqmY9#TzKOEXa|-M6*dU7!lm#E=XVO$P6q*Cw@s5DbZCrdftG*THc#x&u02_>ULQ(&51;f2U$l%Ss#^AJIl zWVjNFX*pVyG$7Q_3lufQJR>~!O8IeFJi4v>ItFWmn zraBbk217=d1RhU28E7><;Iug;(!3d;#n*k8U0O&KC~+jhYZ6G4VUQZdG3IP>0*$3m zk}%;IJ_s|jL_noE%y2m2epeWrKnG-1wFXIoP}~6tiCXe%91H@&jmhYxf)EjC5*R~X zCL2vSMr+ULQdPDxk#nNSSY{%NYVe(w5Yxfe?U% zZR4kiwmed%Ri&MD4VDX!Dic7F&PNYu3H*c{>$Q=v;czBP)T4D(RmLXM3dABHP=diC z%mIZILXN4VCO4R$2+|o~yHSf`YI!A=gl%-|>rRhI&iCcSY_87pSDdp^(7AD7ryja~LL~h(kUYp8x+anM{Tub}r+!qN&PCG|OBo&Xn^l@ziOX5D$sh>BJW3z#vYsTH@Mn9OSN#1O3F zNdo=V1XRo-AdD0SUsT|eVi}QHfV8?wu#5l^^TGsN5xIc%Idk-o6)OkFTqz9`El9y| zNps%i*YhEC6x#>JNGzfvNleD!7_z)vL6mXWiW~u;kq1!~j~uB`xx{W;gkKODknAub zE0HI8(XfjoaH$d1a?xaF+HzW(zKo6t(SA-?l?BJaVmB6CN2O(j!Q$Xja2|hIO(Ejk zL9aSi2dYUQz`{Y&=@J6TV?}cH_M)^Dp@vW~w=bw<0+awrDz5`n@?w|G8_tNRu>d5E zEN4PttAS(-ml!dDfUh;W#ddF1%k?NTQVuK^a=Gk4reBNX5^~67nqWY(^bTBJlXg*} zNNPkNNvZL2w9abP2mKXqiNyiA!Xz9YOT{YDhLS=@O0bhI5vM5AhoT%o5?dGd(pft! z2Fr5cin^IoEG1!D(iAL2VMG)`*`OwBH&awOSBr<)Ga`iBAU79FUQ7^|64tqCvz8sOGAl(7rNFgQwB9_^p3Y=t0;5EsiEu(u zDN+PN0JDT_-OLQbBI&$Ncq(k?=yb^>g6Ja9Vk~T39+6?wYP_SOLWl`fhqM5dp%QX* znW}bZO$Z4}U4;8w%(9e0f&}F>8dqDC@kkH}3r2|P<9ND&N2JCQNCUv5tTUiQjt!d* zR?-ZNU${BV{i-2JN?*Joba^mx35Dsl8pd|&CCgrEmqWnZe#v<$NY!18_P3ncT!Rp#hy?R)G=pLgMwP6L3Iw3y;9x$l zC`o|Jc`!u`GC9R~kAu$RAwmflEGYD48Kn{mnk{I3PS}@LpI}Zx^vZ6y~CzuGc8pLFu z7Vj^~FoZyzW#i~*_DtAIiL#&^zrRWoY6T<*F-`{hbr_sf#ITp75)o6G4Pk;wAWj_e zaE(Qa0$bN715|JwI}x4vyaN(*qwHxBq68NNU}1YgZlf@NC2VfK|RYMYekna@dKN6&kG?#xpMm%K~N5)O!63dAc+eqWF3#vu-&{Vfx z3t9)q&Q|JPrIB^5Rm)BA*4zy2U?TT*)544=I^Zv{Zjp3~7NyE>I?nb|6 z`|sB-QEO~;!Al$vu(*fQ&l$0>XVu4}boWx?9K`EM zRTf6U?maDeN7UJsJIH|8P8SWW-+vG84Z)`cv+f@9)*C;ekR+lQVwhIz2g~^3Wqsd| zPV3KgjB^d8EEs#E%Ts#qKhhp_*yA2Pm?rN}LqGP|3VE9ydOVPMv17hvPq#_`TsM5} zc*;&Ch&^-UXEcN+rlk#k*V}Y{Dvb5PveON5e`IG3@!GPvn|jvqT@Q^WY zacVWQm!Dv<4BldUTwg@>Q#e=wXF_PA_5&zfy>$W6b^}-7wAh?o<^0V_d{)I9(lUJ?ZOLuDrP}HV4Lpvox&4ta%5u zI~RHEPdrvl%@!Ye)!GyVCdX1^pw_Z__n!5#wre%&LxXB9GLqZY1k5-@C z0UqDCqlryw6xg%Fa%<~P31Z%8k)_Q4l78(uuH73K+cxe+lGUJDSr=E%B4OJla&Ec^T3h@GA4qXLn6&jni2H(s52N9(4OC#$X}pOVj)vPU}PK zm|h-#JwkV}y|;)LK7Agx7ux2%40Nt0p06dKS)5+M<0>A?%je;S<5LnDPDAQ=8@-0+ zw4yh#Sw5)_;*IrVi{W+RPNd>*jqLAuEm`MNATkl(lGAuzty8fxZX%RqquYwU@rV;i zQe(rX|LB@cApGWn>E)nK^tY#+{+ zFJEo`5S{Aixj6Rn0>|LVRHPp9_=j~Oao?~fi=No&51IQ6F|60_)Z|vOAcVEmUc#YM zBbXjvf0yWrgiPUa@w-E~vhlmJ#h(pn9C&z1UTlqc74547@%2&Os+zYpzSU>kvNR3H z?6O*ER$5@ZA6JfIgJ{}U+-<1JY?+jmym zeWw24_D7-+$7n?=#6qI)Lkpu`7GC!=UWjpghrH^6Sg<;9sV1>hpwusq#86{_L_= z+;zQI?=OunS~LHw)Y7oTW?e3<39Iv#yFW$m_6!pKfj65y-OF2R4)?4|b3O#8X6^Mw zGS^P)UmBP}+Z6}FvWu1{zsJm^ZMatGFgw!X22Q0TfWO0^n4LZ9R`dy&{%b7WoLhr1 zusZ$roq)Q7i4@BkX);z2w4-xMH~py&=6r zm#U`Kg=gTWoOSXh8*G=?J4g6BZ(6pPW}*P(tl(aXE7zjtp5fL(J=jE4v>aK!W5Mm7 z&sVHn`HOV)`@SF}X%rS{a3b^SJS#B{pBmAGwFHPFhOavE?KQ*MWqf|M9~n*@M_f`Y z1@)c$Ei6MgjcWw_gAj!)i#si=oi^z+ld@I+p}vrNy+?;4_AQKW!tZp-vx1(N(gi$v z9L!D6{!@^ilfJJLbjFYHphG$WeJ{>`tsp+d>H2Ocly69rml91DB6hknD@F}`+T=GZ#qAC zFe>lMyV9Tc5SroSqb17)EL)~hi(Y=9oGW+rD~MMNi1iwG+&H5Tp3AG=^0=R-x5C4^ zh=OKgGswa3DNSmx=4(Ma@66BqAArA>#FaY>hi(7;`Zl!V+@O;?2VGdbcl|p3PIm}` z$VYuAsp~(8ZyZlmhpccj9OYCX2!<7*q<2fenKhMQdT@+%W zuF!)ol8#XG&~zOv6d=p^Onu!IR+MZwocT_ zEx7@AD_-NT@^TAz@thj*pl&jKe7)+dp;NiC_N0D=6t|;Y%2q0epVgfBx1+>YxIw(; zSMWE#KwR2RnC&4q$K%~G|Lz;$Q}TB8Fr1$%b`D@ z77?f8kGz?JTV!`d+a0wU8RveYbDi$qKC@cRIL|v(;~(wM(Z1-hQFnSkJ@Dn5LGT_B6yUHIr^F74B<9TtOEvDxtbrx)U{}fp&ILtWq z%C8*rHt&3y=Lu+)kdra*l9t5KjW3ldHxfGwgVF3>u>nA} zd}fvSBris{@qLyaDxDV9Yi)MzVQ9=($I{9D-Tkh(k6)tT3w)+hO*yl=uM>Gtd$66H zeWem+*X|vn_n|mlQ_YU1N$Pg5Ie8S<=EUMJ&#x`%ESLBR*PrabxS*u<7Q)tc#TCSPX^f_`)D5)pnLWO}mP}VhZ)TI{~jWg_W7@`!(gXjN_!VYi3^cqrYKo0()>EX@|uIVY8 zVTtNk^2Em`lC@nJCDO;N0m^y%z=JOUZO@We~e-_57;_ zH_yNLg&!z9+@T0oacXTo+fMR2M{OGmtsaf-beB%c8Vq0)`II^7O^9!dy zlnLxbcYZXNd&<%fms-KhR&MS#GiQjNkRUexYBUpU5@UKwyF(!0hE?DuZtTWJ*fH4n zME*`Imu$hi4qts0)lSU3>?wXS%Uq`XFt6hdp<=)FN^DEmZJ$E{y9aUyg=cN#)SR7X zdqRH-NS%f44o0L+uM)P@)d%N|FJ;qnE1+tBGx;c4^38B0enBt^5}Ehoa?o$ed5yXa ze+0Bc-a63Hy9TsApKljs4Mw(?A;{KC^kaH5dQPL;$VO-F19s{|=uEE5GijXHXpAk_ za=>WQPs=1WPn2w&^KviQ9)sy;9F~F+bGjsdGYrR_!RWh$Zw0;zy`6FBOH-OH49Yk$NoAB&}5w><9^QSs-8FOB~WC?N*w zC-a67v>kk2Z&EIWFMrcqzNhQuqbe0o!e)45%iYvmpf~aJN+q1v6Y1);3=~1RC2~tq;h$zjBdm)?Nw@IUunxvhl3uQdhShEFI*sz5svcgXi#2YAr77;j_nYlh&p^7) z!447C3Cht^e?T@JZ&^OiRUebP@0B9$C=a$+e7mpAcZr3Td`8$@c zC(0@P6teULhhCA=XPmBvK+>wwHNT|*1Lkn9k9McO1FBl}lyAlD7Eq;+ZDKp`57XYZ z#+cpx(T)}&K)dnlV(v3he6BSI0Mps42a!w1TbP|T=LPM!c&`_AFgWj<-am}xTb5&Z z-TOe>6?s%F=RNn>*X7q9_6uuB-hel&7e}NOEi7OEPt^x)$xBX-R&|CX2V-nIi)Sc2 z9BhW&A0SNsIVk)u*}wl0|IvFs6^fgFzjr+&W7(mN;uss<8bf>oJ|ozgeEOEq8=fbH zBlC#3d;V$QqK_4u<)h&~D^*1^F5v-qC1s}Shy7RTPmo*h@_HOj7+pr$w-24dMPmTL zbFM>?We>y|l=mB(_@q^igJB;d#*2MdZp7u zlO$Lt#Rutj^zb+pF4*xR>Ljn*I>G~+a%piBH_WU!5_f7L2_FWKJ)ire(Bg2gvGQ=y zld7L11i$S+RD8lHfEcb`YF86$^_*gEk#xo7`i;-|AAP%iBs?d;0Qd#hCw+#( z2ZaxTqvgLD2@XF=KCyN>P`bJ&qdPyAM}y}IID5@x5Iu!-skt+YA2`iE{7hEgZSgpm znnNT#ee#-h7%ghpn|gHsi?ytv)a1bnfc30NPTEL9+W3g{JUfD+yj}9nmT)Up)!C%z z%)pSanI z^8RKXozG;UH}B_CrZG4-v0tUK*%4W^=@&S<-#BJOwOu&A5yV0dekbpXsHZmVl`MXw zwQ^%?_3djS{hip^=nK_5=o^T%6uw;Qm4`m4OoG-#gr&BF_vD+>9gZ~9`B z^Rrn4inWfFVXm*Zz9*dlmQ(SSgJ0gkv%_Z_m?C9AL5!Ff+1IX zy?e_E)2*;Fn;RJ_w-(T-cOwh4OT{Ng!pIe+lOr7ptJ`vkgX{yx6UVjzW(b!Q=&M*D zX0(NF#`f^yz5mXeXT9TeyO3Le9{%Ml9xg|76R1&n;dh`>M3I2=H9$Hr(TDXKwm84p z(yTH0)R?Ke2AYi81HAEsXyxGl@c89Kq(O%5^+Db@^IoB-GZXGO<=YB>u{=f0)HNoF zb=ShQMX@8`!~F@WGg71avdu^sI&W+vG@7pV0*mTyo>i=Av+uR&O;BeyfE`gYZCs*D z>F<-EuC&@=xE6jrSx!&pjyoDGYMog2K{FZ&dpxE0KyMgzcTNSW2!)j!pConR$gqX zXu`UAPX4-y#3QVMonh2Zx%^lw zetk&+C8*I?G}Cpci+iy(kbI2&4OZuT;_W~H;H*1I8RQJT=6KZ06Qn$zdNsH5(s%0t zHobQ*AU<$=ZVTKLEgiqbds60)C6rxtZpcPY^a1mFB}Bo@o^chpSO?CZ0Ssczx+7=K$q$GxNc1hYP%{H z#uLMvC*?CU<@`24|GECxuQG>hE%uOAwUZC%^Y{xi(W*|)tXZ!Hl$uI5Xb!vgX?-Rh zK~}+jHp!S%g`|QvWaaWL@6{9E!H(l4dnoLJdo?KBa>{ya2GU;>%leU<9IlrC+faa@tB=e7}9@Q>mBUEsG=RPoW&w85Tku97T_w7REgE*SPs+IY3t z5kUSPwR*nV{@QcQyYubBj{Wt#N3;2mXLmwv@{`}ruDK@P8vHfeN^HSPla4mUa+f9) z6M1t2_At&R<0X%jOKT&t$AUFKG?zLSH37*8)sdg1h zo&#Mx0gFiwUl2llQ?m0FPX1) zD?5u%ne=U*98u*1_g0Ub((Kt<4dp>c1>-wFt&DoE;@vc9q)GugoR0CbbLh|uwc%!u zGG|;9xBWqq$~4_$^vb?}=B=xyF?1=WpF@tin){rD<am+t^E)@K2vn*%K>pMy@v?P}uQs7zS(fL7+_^m@Mh{kkLEvV!(EwAa-} zy6*ekuKL|nHWe7XbQ~@-WMr=c>O5tKKmR=@lzNQ{iu-TN#I;bGhaF;f(5 zZ}WjV2&XvkXhntG|{v-9Vf-+neRXjpKLchq-GU%bZ?~LI+lkD<4~U>acNAE z&O%q0(H)_Bkg>h=zRzA2i)dRY>ZN>AqrT$vGgG*?#;vg|M|bnT$-Bqs$F;3t?l`Ju zapReL!7HV?rUi+^Q~kHT28TQB;)7FM4vu;=5$hk3O77v}!wWx$xp2aKc-SlsTcTd@ zsGjg}-ZY=~|afbGvUVt^jl>Mj^ll;cP>pbDabF-Ht4+7Xc=D1RC4YT~Tn!X0%k3RL* z>UyMZ7viOVSnr1q2ZFYbOW&sQCU?0{2O5j-X13I=!To*8)nTpi7p|oZYhPEDd*e#9 zkox4yM9SLm?~y*Szr>xn(An@ldVX)(Gm8+T8NN%4%kL+Dr}qOBR^M&E6Yc!IdZySF z>g&7awjvoW{oMSvqj4h_s(S&t63Ly8NvUYlFlJy|rcs zNXx!$2fHP1P58|=Dvus>t$Nsr3!!;>_$6?ZPRnKb{*GQSI6}29x8nQqcbyKv1b0mB z-^WF?o|!q>!3-Y*_?Xk9%DwMb8(bS1O$XA-S!`FI<6!LcRD?|?NEdcQbh=Ou{qLLj zj#ur8%H2EQ3X;PQEorIMhjF{{9@ba4YV~9jq#32HcPD-4aJzAs5w}i<6aRMo>$KZ? zKJUAy=5ys*w=;YU1HCC`bvI&~%kd$S%e5cP3$SGp9K zv3B@&t6n5e>Tke4Wty0K2jrXy5;MAX5Co>X7`;*Jrn+2#q`?XICOpZsjV%0c9q9d@ zOh0i={^yb8|M<`UdzpfZ8jlx=5$j(q=k8mbSC>cJ<@u zl%)<>vYhoUe_lB4a4n*}Wy9BZYV{~~j}*XbXqFbteYa8Cty%9~^6Ij3o9ImUfbP5V z9l+qU!{800q>|OvwKdV9r4>Ha<=Ol9LHAE;{v0GkVNm#OdK&IhI{3IF{oTBvTTZ~& zq;ja!D?|lHzQ1hi`F*AE8uVTR_2y1$HeXy8&%-;)KN?ZzE)qX+PIC9?Qe1- zzU01f4WOyGye7jx<(mbSbhhX7*BAVwo)ECj=Y^v?wN4c@Cs>X$>D@C@u5(4FkX^5L zYRw!__WnARJf|d#dn5kc(WKwatm+eqO4Ez9lgG6Cqb0q;f})SXx8#0yO6yqLZH)=l zzZ$Yr4w!~{H9MElAKE$9-UexBCs<*-+k5?>vLo_w2s`^rb*Y#o?}XHzrrNAP!f3RF zdO4@qXU=6}H7yRG6FFFq&w4bh3njcb1)ryJIJaAE4;x%JvxiT}WxpsCIDE35wsVgg z>&xXTKJujHko|$u_%o40w8k{?!+?j(rLCnf+!Ch(&26%1j|?*#bQ0+&MS0j!uLJW0vQkh z*#m9u)no;d0iqo^6S$MoZT;hd{+?vf{e7;ffWCCyggCj_h2nI&B8xCNC z3L<=l2qx7pu4f1zWYjBEa$a35r(Op$9>43fi2HohSq+z1by$x_+XbJ0PdEM9Ojgmb zhho?Fd*#j+O>+5|{%zln*2XsLyTu|ysmcdg?Ms6c>5tpUM!s$>v9WoeGy+ODs$+`H zPe6KdOGot@^bte-hvy-7>W5iyzt2@&JZ?(RG~S_T(s;H2w!(HCe_xzjRQxeEeuu`D z0mEdr={rqxS|^4}q4M{54%DF1zMHyZE?2XkY`?4Z=6$ON`+>NB` z+q=(+#r7P`9^MjIwZZ7CDH9rH`<*`BVU-teT=#wLHL+=J=jPAbckJrBnk8P!on@nD zbz2Y{6P7mh(%T_CMt{|NCb!%Xv^=%W(a~E<-=CT)_=V5iurv{DN86~-sgF;Mi4*?1 zHTkGd{n2?@wB>Bp4Sv?V8Wy6<{yKHhswstWzK1(^i9?#45rE9?g&C3)*ggY$f88Kg zr|su8FZ{auZ1%oAud~0#w6{dFXMj(}eekX92P~Pz_g!`0-F32RT42i`*tFl9a`7;& zl)BMbDgLU6h)%#t$6!luXlb)5Hs`u-e7yKfbznYCg4qJ>a)`Y$`*&J`chgf5BWTUL zw@)~{3H*oer{i}&zH8&Z>zKd!Hzx3cyRtpM0qSvsf!f42g##4yCR}}Lm{O_SC}IR# z03x(m-Hq)|iJ8#-%Hq7``?tcpBY&z$F5%3IyYO(W*PB>26TY4Dbr?;(a=E3n#xXkA z+FUzX*6{JNYd=0qgTlJ%-=bd`Ck{GT)SvFoM9v00x+1#uxNYnWa~z$5@#=Z3?hcmC zH?s*Xm#Wpsl6F@Nc8T5OMppZ4YBBR%mSpgPRVjf3Y~Z(!cZaQpGjwMmqAs9}{XVIW zhAxn6bQ!3(L9@sldh?~)_;dQ#TXXg(}8%Ds8Qby-{^yd|bZ47UA%A((>(Z_qVKSR=lXR3NmTC-X+l!H_)d=d3z z$o9c$p8XYido;`tU3<>6wWxN1@doDB8(j=YBCa@7CSn7KZk2AQacmC3{@K#=>uTK& z9{px)z%5}?^TVL3AV%~~{_3YJjC=8Gq7Jhn#B>ef5=@43_5&@bz-voVd=1jHt%AHZ6XJd^Y0Ka*JlJVjsGf`vn_% z|J(ompZ~jm`=9^&{}VJ2_OSmNZu(aP;lCOP|J6YFuLi<@H4y&)Zy;>7Na{V{Yq@84 zLC>ib-Ee|w{f7?1e`5##&Hwtp{SV>)tG3_^j$!Ru;Fc8n3X1A{v&vjL6n^O72QJ$( z-*3D81Ny>7SJ8<+GwRwVBjJrWBTvuStdWRUbw4Sk`zUXeLro_aYX)#V_Rq))ug6LL z?5kpjubfn{Ct~75=~#cj=s<+hWOprOwMM7&LWBqXNEm9M&tDz_tEPi5Q7g8-OKtE% z^T_%gbI?*q-uf^LuSuKu71zt5>cby3dj;iabMC7h25|rL0p2Yt<>kS2-*{Sb&hlg4 z;EaA@N^|E$2(bC2UeW*Hxi!hewX8Z9aQ3PF4!vemi*7N_4X_&M{J77}A~+|8F1Ma( z88A74d(Z`)rL$FGc za}PO_*rD5*^dw&K+v_j;oCDPZfPS|=7BrGYSN+kA{3c7h^LUf+9YA&hjgHb)WfvnN zj=;|WWm6*{nq$oL(d$?Ab$I=IYKPt0o*Qj=+AC3zPT+pS0LY=KqgS%(tO|!U6izCm z+yxbh=hC;ctEX(=n?uu5^wJ^c_8AYlE7YU8jREjr+}bI6soJEsRbX&Py^pT6e#w)@ z&&703vJAXkc~O5Oi1$^mnD4T`*D!XC=!hUdGGDKR-r17c9*Dx=03J9^ciHRPs zIxY;Ri8i0@!RzgmNJt`I6Qnkw_T2Fs7#&T9QO4XY1tF%}{nA$2yW!8St-hR6TCn_k zO~mE~ZCBex(5=Tn$sR}9?F#z+9WeTEA2!C**3y?G?@M^bO9|>0=>)sO=Een+8$P~X zDrDWz8`2=lQ_&A)F&#=ZaDL-C^maqlYU?)LelExN`RZ$4;4g+{+p%Glc#a&sxhXD9 znJ6&Z>@on{*D-v`qeuD9)G>+u)8Z$DRMBJL29=s}hd4Z%uEDD-*^7z_O0> z@2o%y_*TxAmz{H~PP&^VmjXa9lKx-~C0Xp`zlY*e%V4ABnlkT)d@u2_VL=2vnJ6tZ z8pReUbIPXLhJFtKvVDt>&*$2mOGr_doIy zkwJN#P#NjA0fCeQHJHH0dL=eq@b+&vo3Jm?x;@rQ&&8{;2WD#GWWvF1p6f{ZdTia~ zeArEqP5;@;y{vV*Uz=->{iT@L3=2|o1uSqAa|-SLz;`?qloa-1VQ$hhL!XM{d%ZQH z{TFC&&QFE2TF4$+6xa(I@CXuYb>*_rc>Am^@;j;a8XW1x4$t-W(=t+^?Xu zG(?Y}vx|WKl+|eKYl#iRP0p7N!Qs|lIf=yi=Z_NCXC%1XeY>e^4({7MH=lSkAu8*)?$9kvWSMFM{qsy z(i0ccZKVc*cC9rvd~G&8>mjt7y=Sj!|1HPh4S52I<4sEi>uE;owqJks!&)9-q!>)_ z%@)MrxwHE??xpU1l|-$5Ybwo7tK>!t`)Bd| z*b?iyzHK%o`S-Sqx0n=~tF-yDF8I@W*7$$~)d{cWTxzY!ZX)&q!3kBJECIb0B8P)Z zc*$lP@*LNKPwxlVO@8=dgEghrsZTYI)_B0 zeVk^+)xv7Jmhyu-D>m>4*7&`cp#pitD*2~|hM?zoe_w(&;*>QS(ucS(J-LVRvqjjv z#9b~!S9b%D{BrkwIolnhyLCr{$lTN2w3`1dg=2NNd*AQ}@>+FhWBR2v`>YPH7cYL^ z&#J7A3-xqZr@hOp(Ee<>dAo>DSb&YMb;298>TUUWVnKoO<5I#|K6j^i9Kmx>*0?|MY+TVgHZ%thT^T!h}HVce#B? z>)ohTO|hsg+@6l(tje3MQ*(m@@Do7a`*{&T-V1d#nV)U)ECXv)!G#GF{gmc)=X{<) zzj0|%?u~X9=;(_%BHNju<4>DLT+#Gv2YM$?9P;@Xvk~ zmA>iEoFdxh=h1ZcWu05*94kz1+3y`wi>62X-}*iBPOkwqoPs>urdoabzei7qF5&wo ze^pwxt zH2z>VnGt81+YDM(>$>7+iq#{H>w82Nmih)*p?{6@eq2TMR|kF`z{Q01FIMEA=TpKA@(BF1llg(6%(c7Gz8b`?kTc{=bAU<)1+E=8!duDo1m3M{RAy!LE ziU!vb(7w_?YVAtvK<+^Gci+RZ`AGDqWgtaOsPh)Mcxe~=^wv`PzVPLB^g%B7*Le`- zd(uwTfxeo!jM01tm39Ri%Mz$0u5mLHA!pxDlNm({{^6ep9H59bDuL3NWaobssFWC& zS|zEM-wE*sRhsKhYttx;>$U!*#(1T!wTt@o`>7o$^6z6TmO7_z%XBec<b=Mo*-Ug(#sAtnhpe3jZaybC};L|tAAC!)_9+0t7$&QXf-NsFeurqzO`SWt(W1U z)>F{kEq77D;eWv{YWp-WvhW88cx!SG)&Z|8Vqh)8WE6Es|vDTMJ{5-i~UG(_OTU zcVB@KOgwNU2neo#8xrQV(;=zOsagpX7bi^Z(glk%pWkZk-?{xHsYQ9Rq5IW}S){qw zbtsKW^nN*2e)708lL7wps-{eQ2kTmfh3g^~7UJo?@;3Y=OYGl2_ImK$D+uBJ0@m{Y|?9$@qKZnP^%3P(JMRV=j*BI)4n$IIN!-`s|N={Jby8fF@=Z&N?+rB#z3(nXG zK8RkO3oX9|e_L!j8Qck3sb45|*SqP!XjS~IFf+m@Y7|1fWG@Wo_nu>l`sf;C>HdJ3 zGU$gc&PMO^dNL-)e2YOO(k8L0$@b1mUEeVoXsAcOkehj(@3r*@U9Q4i1BsA)_XN#M zRruM>)Jp+e6a)1}T8g&-!aUK_;;fIJ+*yz*oi;k_6c-HftF*FUwj7U>&EA>bCPk3= z_@GnTZpd%#eR3)Le(~M}b>YP;Uw(O&jpj^;6P@l;k_Qlk+4C^xc;Mk} zD}x67R0_Xxb@e1H{k|P&T%p-nsd&deMZ6zeRO*}7|RZ5|D62A!kb(P5}AGu zrEo#!HAd)k<9f#|NuyPJb11~SG=J25qqgAZOR-{A+BFo+8Vb$sE{2>KshnB8EJ^FdnK`@j=0PJDUx@UOVdB@am`Pb`~z`YX% zsp8byr`2aRfEovs07Qcb)(b3jdKw%!fWSz@A=5REtAx3`84_3 zPJ+o&gp>Z*+8?A|@Hk@GW<to3mGLj? zLR6ovE|U$bXWsB$mbu$XdK_=Q7-`;la;-)yq1!EZkDt(yXG!Tiu7FO-qBiOLneV(P zc%ewEtx50y=ITvy)>pfCJ)NUu5=Tk{3>FXGquf=g zOU)2)*{@71vmcWb#nJu=eptF-Gz!(dvcv0Gy^%gQvt%VHjgaz=iwpCv&(d!N8NW?= z-fV5UTcsy`1WM>eD+pmon;}A6n~-)%{xVCBwI6+iWX0v!D|)-_UG2A(QwhP}@hK?j z&l1o9hto%TXv<_D>fo<-Lt|bLBc{$gRx{FcS+D1=41KfD?`Y6qw#Ffm-B0w)M-R2a z%iD5-24p#RUI4~y3&He}AnHeP@R}dF=x_C&(zEUNv!Tj+Ko4IgN#px@U%Xv;K>>&% zPes=K-fLfyHjGkWDM(v)KncljWVTD3zEZZiDxgY6x9rsI)LxnHKyQ6&gMG{nIXYbw zt!Ed?<~9oYiOlaD^$9EhqLkI!1B&)kMqtYD-Y=I60TKg zg-4B|%ujBc!g|Q*`sk1xhP78kfrB}})S5hXc-^;^3D2!g&PmP%2~^w<^Sn~Ga`Thj zHwsAeIB1UUJETQl2phxw`OX^)&jqs_P2}$xNJ@cU+pcB0e>28@dEj{uY5WsktpA}} zOq?R^o3$JQ1CSL>tlhsH-P1+)0WtakKH~nHKA}H5?Ve8xIw5cak?Bg594kU$m94ci z^@Ct!!f{t2l}EwZEVZH~TS}nsCi!_Kdce7MwFiM(oAP~BQZhpA*J*-IW~S|lMSe>E z?*2r-annzkzf?+!mqrz%Ypf z6%GQK0cWETqt$@?_m%&D|8M{L&#lJ)_`m&6|K%^qLVT4;l}&b~RMt1HPHl$ z#r+u@4`V^sr)TPjH}-d%_^IuSsJEAu3-Ub=j%+jr`xo}Z$UyPCccSPQJ#KQ~Umt_NSvd;AumLRa!qwVsOfF*_6hADV zOOb@%3(k`pF>e3b>yO6FB^I)&J?|v#A#HgjgKF9&mLciNTB>U$99bXAy%t?sR~$Z( zI&kO}Z>4%q!1-3NF?Bs77Ga8HO zY+|U#d}T2l8rB{9VeS>1Wc@lH1XNICn7Y|D2iI0um@2K_tv^N6b!D39cceVZqE>RP z;)}Nmn?`OR0z(q+(+h#q6S1M0IldDlt4Q?kLfNkF_SDe#XCG=-wO#4qV4Dex~ zR(IL3W`q*~*E`1E_GL=`}9!(ghzgbAH6SmZvqV(eQgTLJxg=HYV z`W+2hpWi#ZoKF6|qq4Ur<0$lnA^UlNXKG`hXvOwr>6hy^f5VAVQXIZ#`6pU>4aH{d z;2_-QX2i8KA@Ah(&)q&!Fd;lg(?*9TvqrL2etO%o)ITl%d-*jQZ&z9J*(iRxgGCd4 zm@$dM*Dxl2nODiXPTP(Ca2_y<_Qh+9;j_Z+-ABV#puy9w2Ri5Y~|{#T8+=2sFMg`1E(RlYgb1a9ttQ@ zKbsAZW#x$@udc~S$=ce(pO?Ys`Os*FvtIt#rxA1cUa$ie?hV*`R^&)#ikzD9_#PYEF^Th9d-ug`30uK-KrwSBS zsdkD(dO{zQ{Al@*C4KxzG_E||zWlJZ8;r3j%3>9=J>kV|{IuPSxKpageHEsb+O)Pck=xmF}c(u z3|Y%nfYfDj`w(cnV`TnvuOF)(F4pS;4Ll*QV1FKNptof19fhwt&T!APBOP<4OVPjQ z$GPw3u-zy4l7rFede*%|(e_c!hLz^J+7f#`;0=h=?%HczGL1iNzG8wQ{_7AKh@Wm3 zo6nHjwnwN!4o|WD@(0(9C4-A$f7`DvuW_*&2!qF!5zzPU+}+Q5@Lsz@Co^5B_xfQ> zIy3h2)hOXGnl9%BYko#%)76M&i)23P9mO4dIn~TVoqxuP19#^B-)!7}AIJiEKz9Cz zWNy{RTL)$@KRy`yelryf()ivxU^XaK0oB|$Y}pB{^9@j(S~;8zT>m(qodx!9508@=urNXpEj>(T#%3PZo^=I)?G_zN@Rp?~* zi{bQ5uS5vY;5Dz6*N&ILiVaGo`biKAno+&?n~MH5$kQF`=O}RCJ$KD-D}I(n+L!vr zkJUT;tgSRa1_$xI<#%=3AcG@Cxb?;hm=#IVzx570zi3VeC2Faa74q+%Bp>VE#FuHg zM7lYQ*>7{z=-U@gndc%`B0JF6v6ab^w`ZrNjD33U4BZVol_1HVQ*{aJL+^0iBpV*H zCjGUub`y<7PdRf~TYoA&Pg2FqC5cy^-R2A3Ixenu>R9AoPuNF2H)`@9O6Ayv8djF+ zAr$Z3+Gg28s`rVs#LOb21r4XfC6*>e*$g)N-nkQ^?uPkuJ5smT{v;Xn+&KRf`lQ{~ zgMG>7tK*mc9u@IrF3&yNR8iFD_0vr~>@#4(RP!UImS(s0(yyZw3evZG{cF6H;g`Nt zMxRlKK7?<~^l}@AXu43Bw!NMgO)+=6-Aax@i)-DgkGGd~1Te2@7%dl5Jq%jtFXsrW zf8awnQP-aIpem}VcfLPMY5#aBFJNVbT)Vd_$flk!0XbuheT>eo11&zi$v>4aVW%oT zHQt+7&W|Xs222hb7CzI)c+u||**I0j4ezEtX&Q@1nV`n8{~5O3va|Zk1YpVrg#dg# zHblR~Rkb>2TT&zq?kk)^o=6#HljZD4$zngj5n%V0t1#6`tx+7uIsov}=&h2F?^-g| z8NI&iyR-<)qA8d8E>Bx4{+tX7-q!c2Nge^TIMW-(s^;; z{Jzrn;ON%+MjXh%&T21lg@prvc${YPcw8eC?AxUs^dcSHP*AT`O2I;;{;pi!cxtwfA!*T zDW(oO^_U(2JF`vm8{f2BHbci)chlJ!4~M#El+AKqwf^0r-IN&Dw!;_x2f7e%Rdr$ zIjhxU`(vIjmPj|_Yw#1bDx-Fu>$(|J>whM4t9kWdSnpAJ{C-8p=l*~kFUH)IANN{1 z^iT5jeFKDS((r**D(KL$3XaBZU;F&&p}QRC=}kJ)bC6e_rjJJ2zn^2L02PE_Yl`kgqL;HvZ_oR8V(Y|uDFNsSHE^LX^iDwXAa zDh@84ADy4iy{f+*^4hyFFV5MB$u8H9!QRK)j?kE^LD5{JmhdnxqiC%X1bd#+wWZN` zjzwfo8*43`)T-CB$^cfPw;aP(F4~R1e=o$6z5N`S;IB~!>(;|kE^*^g|6RuE?YEb4 zuOpr4gg=`4=67F=xCqTcAwbZ&(+$PFbIkGNIH+=gpb0xZPN~c4metn?be&y}S!}VD zI?WVpFg5Y3hMd(3$H!%EzLa_RKvx%dVqeKK4bq z(tb3&MJLTy6;6iNRACNw!0IR4Y8y>M9|N_NYecP^QM(_)>@)|Rkcf1p`yS0*3b=FC zFPyP4-8`ACJ=zv3)`+P3i>638N_UP{oMRPotF_~Qzxi*zHd4d?Ou&6kz(`ra^ zxmiAB!%GmOixiv?(U1-SpwET_C7)aSD4Z{?G_#dvg=8*|CRxY0?+z=9KJT7YOq}KP z(BJklLVkDAr&LzKIz1t*d4@md?wuH@iQ~WWWTx8XQfJv$t?({Cyjl+P1{IYy@7OY- zf<8v4Ew4Yw%^bSMT!vsi*z%jZy_mAdKC9p4QZ_%;T%Fyc`nA)g_(=!uJadU?UZ>uA zEEUvlGt(ui9NuA)D2qJDB?Q96yYghyb8PfaJs8`kAgI5_7lKN+{InaJKfiTco&{)hggGJTX1O%^2_JCfY11W($+`@v+@C<=FwKBbVQ# z^eIu)T&kXA=AlyaPjBM($IN8&fcocxnJL%8rtrtv%iG{Bp12iOnys6-?_1vH^#bhw zra9PLdYAME%7l|yWhV2S<{#<6EAGU2H>+(YC7PObHO1;!{cnA8TEZney&0p^9^-`V zSkAhV&-`G*U%aocbPm)OUUWQtzeDBNpS?=8)gUMRrG9hUxl^CP(a4%)yED4A2i&|k zSeoBKJi9r=YBPK2*H!Zto=g-kZ^lCUs`wl}!|-DL_3AR|W(e;LqmFp;b?sE2ojEmM zMY#{56LymR154hWJ*S|I9_(eJ$i>dwlJ>1@Cl|K0bv2G)qg6Ra=WVuwhFuq@&5|`& zjPDvG5p9$QH2*l*X8|8G|E-~S)~`p@$EH?2AX zhkh=;T1=6sni+IFan?$_^cvns49)rxOb2kY$R2vGbo}))cJRq1DOiCkkGK}V>HoVL zOFBaaJXoJ3*FCbQLP(aGrBHO8yJGk~6%yPrWv9@q*(4p;knF!!hUj+Th7HOe4I=<3 zoC}uXCRc-$`&=4*F>gNK`)$Ccj~dQ+VK?_tr!hN!<3xLHK5S=xkBZ7`l%|LMbwse~ zik&P=Sx*4LQ9F6x>a*WPqxIa)u78N#`@8|f;x`vGvNYh?yVPj+cb18cFedR%{%F@M z8NEG6JFB$v2bnv(D)uH1>hs!UZcaP~1@ygBPNmP- z&9;YQZE>R}I}zS~TI0;O&$%MQZB+nY-={z#$8)os#%n;St(7^*VlDE-vM+FmGS-ALMy|kF#2ql^5W!1*;@ldyQ%3z2@GPg?RmY-cI0$#B;zm zVg#yI{go~@u2?qOW}x9*N!87vvaHOTZgq#0+4BC7omq<6KyGSr^P7r?Nxscn{ad-s<_H#YJCyJpu1{QJpjfb|z3pe~yzm$f3oa z#o zr7U1uT{2OG-;82%YC=U=Z4Vgj!F(qn83e(M60;D>e1Du9#RWsIkcA7q{>$ve&icDh zo(5o44JeqCHIY%+?$2AKrui*3>0FYDa~Ws1nxl{YXWpLV9B}d&d~wp86uUXb7uS3( zQ{hg2u*f3#LAQrr{R1}XXxnjxzN9tRa&qdnm$T|&_eSLx(W|z;l$a+TPrJFwfa!~+K8n<%YlrToKiGt!P2Mj^6EldwDh#Iu}ZN+HR8OXN(~ zb5whIKi`7u&p%`~RI%`V?7eQ*lZf3^V}nGPuWD?v%n|yh-@p%hF>VM!!H2krsGTKY zVO$SeU$5@UF%zDqTeNlJu8>+?uUYVOrj3|*O)mJTP*kdK_%o$YWjJ~KKKIMsYUKv~ z$p9RH!$GsMoFf-VQi zUo*{N)zb+ZFXHP^>SmO0lf}2^t~}kL&B9d0z0-g^^T*N_^`^V9$YD6p*%xj4^g#-} zVNcYfp8?QTe5(x>N@85z)px4y2$VQX(uhfG<|k~O{cQI|_jcgq$RIRVe#2f59Q1!c z=yo>jb8u1ZuxVb>meagc+pQ(Yh}z?;WGZQ8T3Bw&+V)&Q1{Zt_2{nW}fA7<^NmQHk zwh>0V9VmMOz#u)5DMkgNvw<6{U?<5E4HFX0toN5?j$38r+uq@t zT7j(efP(j;8NW1mSm*;JFWS7%d)sHeX;hE;h!uXx64{x}HOd3}pjkexpED^t8>x)& z$MXKDc%H3t{|uyf@Mk-r?|05m&1}puO$rLm{5B!xiti)`x)AB%vU_*dN%rGU1-4`qdjLx9*WF`Gl2DyoEKsU)dd##D#K$Tyl-j0Y z@He>X&h}L)-Vn>lf4d@C^rLSnOM^wDed4$bM|0oyYwDs$3Hd^dcRh|_u~z>+%B3n> zYb~PLar)A24+cdTgVf{C=-W9x!%DbJZ;jHYOj3_=83&D+HF#8x(I%pH1G`t3vCvc= z_1j(<^?YQVdwt2xY=jReo3QImo9xz=}%bB zPGkHmL=#ThB`u04s%3G1o_Mo#WyIHZrhM5>pT@pL-ES>`mCZyU1Eb25@LcV4Vb%O; zd`sXf#$Sean?(plZcMdbHq$Wmj26U}sh1gX z(khD_Gt@co9wEk7vVJQDR@S#gTdbSTPomfGDwD2hTzsPEduNIdXY*yE4*WLkASDsp z5dwGg{-{9%tJ=!lK-t^+6nF4$q%;UA^S!QD zk!d?aCgVI88y8ce_f>23PLZ|fn#~{8bo60^1|9}WJ&QOHR- zQ+*w(p=!k%*tueNe%_rMiLhby(yf*&wjH9CyL|{dx~J5K`g)!B2HNA|iFS7-bJ3Xn zmLO_nOMi!LmdadL)!s8C7q{o+O~4)A#Az$hG5`eM<;kyHO;W;a!jIz3pC_H`ZPNj( zEtfv;6x$w6?c(H`SBTe6E0e6CmNa7ok%syt%9w)nOCzr-l>6_uS9I(?wr(wH&BS6k zLrtss7XFtRg_9Cz`}0B->_JtZq&L*Ik!9lN*&PYoTl|ifN=a32z56l?qr>g?t>M)w zB3>60yk%&^$9%J?%4!d7irO0%r^ov`<4I$HJyecLWRKl?J^DRpW{<8ab?cDg=SO*Z z!|qoV)G5f{{H%>@t;tY*lgt5+ck_s8P1u$ku4jj1(Gck6cKv-0g@ua-+g>cY#P4vr ziS0sn;mh(WtmIgawZlPmZkfYIl;?ZSwKEuf_Lm8=3NdW=xP@UgYC1&*Ds``Tl# zK5(o?4IVwJ5Adg;Nc@__ev`8c(2PMjQacQ1U576{$g`fEQ*BuXa#b>+>z0d}0x>0G2r0<9yOXJ4AXkrc5gam9hOV=fSuf@#wd-)A3xKLIK zjk++n?2Qdvdj2@FkY+#g!Glo5(hvLYMhD$2dSdO}E!|-3Ha<&$e`rpia@^2o6?Xl~ zhO^G}+%A^H*CI@v8o3P1CG7bsS2o)CQ*337-dNo&%ei*GeVjiS(Xrk~W5A1`9zqq5 zxILdUx*85dK`D;^JxKpg|JT3%YX6aX^V7yKNH3PrcXec42;6DR2j!1?kGvtLy?a(z zMw0G=@897sz`qzTW|ckNJN!-By{zqzmR zKrD>&`R{gxDFVNH_5Y6bv;c{z$JRIXVsg>^+byJ7TV9G?&V$V9okH{bR8%NdkzTNE zUsmrX^6E&_S~wDvXQ%B4#ryYhdA$)%cl7fq154`fM20+DqtrRPUg!PFocNVjiEPcj z(F;FwpXPVVR3@g64zhp3sMqi=TuF_yxNmh2O^7r1+}zOH^~r{F0$zbN#_R2#NtdL7 zJl?|_nVz*0_EQYd?_P~(c}RS(U!xE+E^SXQ6o+SRF)7YQIMfcN@mTFvhPXNN`8Oy1ecSyOzX^Jt*{Nb`*tCWdhDYnka`>zQiXcLRmlgm^u6Ez| zUhTNE9(Eu3Xj<_7U3zY??C^~`QEHHvGc-rMo+8+khLs4d^c}~V)CC8o@OCDz;kY%H z3yO3*&U1s@vAl3GsV2y+ztxLFC(b!SH-f&Q!aazoP*4 ze%8bAqqVU9WHLF3XLF+^z?&ORVVygVziDR>`GMJ_=Y`?8{q^bkRw+2STy3}SSAT!Q3biw)jz`|c& zJY$}XZIkk6;$}3tw6C_%UoKjz&;cXc`$4u-Jr=lLof7!cz=}^+kf(dz1&wp$$TKxA z>6neL?oP?<@R*SsGi;{uz0Y4`hT`_ytz)=aIw;+{HKF&L#bM+uR`~U2~O+ZH`tAXX~QB~xW1>kP4M+v;1nmPHE5va zPDF%FfA)Hf9bdg%TOCK0c?+$--!@sUA*%<~mUNchF3P;RQkun8tyd1GLZ*ePS)<(0 z_0|-Rf04#bPj3SBzhNfpA`K(=SKN7cow_*}>3+dyK?uyy>Fg@YQS;a=O=nmk=c1=- zW6wR-%Z{h#dKtcYny)8l@0KXXavwXz_4>^S{3Uoh2Zfzl7hvvzwQ*-uWRkW#J`zPA zMc$VVdBYibqPH(7vd&Xy@KAJ=@bBsH@Egz4y=7s!TUC)>g=*-n%r;wsuB03~=9`56 zqzrtj9XB}v5e6OJJ$L>l0&u?P(l}Th!q>zBSoZN?OrDK<^Ji?Cv51#s3({Zcz<3-h z^Xz^=H#!AxYGfsV{S%io*gNAb)Bl@uuYCk$Uax)a?hUUscxZg%{(1H{VyF_JnoES` zd#GgYo5~wN#`qH|g=`KRD_f1dE9JRQqNl#Td!CF7r{K?BE!2ZwdjcTzQfsz+b<0L? z3ZU3R>Q;%yaQr%+ZlB}_3%{sR9*5~)!;W`lW-R&5yI}KgN-q2N-_eDdkenUN-;Lh7 z_l?SCh1K_=MW?Ur_-pNJ&B}`NoP+3Zj)Y(OXsTUk)x(i1q2DcA2r6~2OIC720?F`N zTibP8cK&Y0#k@8ymxI@AlfQ+K<$`(D-+-s|Wx@gSY8FpMrLBG%=Bjb5Qk%-J1@!=Km62v&OAAh| zOvJ2iIu>5gg&%UsVh(QX&n{yznUx}-fBxb<8@?;KQcAjFGDx)<^&3Nj_4SSiKMVd#}3HQ^2C_sLu&+ ztCS;N`jdGVz7kSJc^;7lyIvS-BWxhk!(Vn(OWZM4_>{qbDST?!6yuSk!Fx}uH_mDCz9w2u zn!ZI9WPqyc22*ksye*y9oVJ)dRnNEW`MG_%^czr4m0}2uQ6h*IW~px6_fqU=Y)9&u zJHGqC*4EtJx#!i%=dgE=SySr$rC2=%Iqv@K&N^lpP=pNy4R+|`&*8MGD+~^)r76Kw zzTiB(^fz>gzZ>nEIGejeboAJkELH9Ey=1KwZjYPUn#yCPypmpSLyWyyn1K;u;R^gE zsvaxA=>5(+K~tKB&2$Q44jAS?riUJCFHrYyd1vTe!R_6I_MG{(x(RzwcYRAKX7$r` zEfCltKD@Il#+e-QC9Rne`ekMBIeL9b4eVceRs)&F;9NR)7AE{&ZQ*~4GFGo;auQ&1 zLRHk@7Md~am@paIm};|%zKODueZyTj;Z+CRG>eI+D>j5u8r z)L<8l;+fe+4aCKhxi!tje)TcM%;vPEB(@ZO{$R*b+lcw}FfA!*lP$nRigP#Q;&s%{HY9w_Yt0vr|qMB z$nBAdbE&8~i*PcIm%c^_ozH3ey@ML`sBA%x^rnV<0HB z_{ifNS{+woP#B2&DjNlU3`qGO>9EPlQN33TnoCWlb7!uH_&FOn*aZEwdWFU-o&AvH zIt5yHR#wrz<2mB>-utc2a{p&;r&e;;ia-0;YyT~KzxIrQ&q^pZa$Nfg{Rx+q`&Ii|UeXr!}y*ztsVy+j4ooMnPb>YkfjdoWw_Di_9z#d1RB}Pv& zUxI0@hU2l)@rYuIl*T{n>4Cf3cXW{1gu1JIC4 zbTZe%o?I-DWLP0r2D@+Lo3MbbZUwLpLL~mnoAypF6{q7%bR;PdikBI&(i<>Z862W1 zdUm>fM{&1}J-Pd|neWo}iw#_`;C5uq7teR0nSB1V8p8To@sajxq>=$-vkpmo{b3BJ zHe>ZhzhP#6>($;IHRol@**ygdtDdd*MSpWg6!FUiU#IfJQjDpDHIx$h)V)yMyDd}| z?EA%9VhpOwf{zDtJu1F#xcEil4vBSCadT2ZjY3hm}DL%j8SmDOT%Lw{ay8!0D$GuL^eY~gclH6e2;ywBNV!Cp~FQBS);{UsvmyS7HRVD*DhY%*JGp^RMvzTQD4^ zUUh71bI03}>~|{RU@GUUvliByJs$h_uiGx~`pEDbtpn1jaBZrhZHs_7Gp%l=3!WaS zRDBOD>0(@agJR8#{N{9#t(?tEsSz(hBMl90cP$=XG>lj->GYm!jW7BtkrOwwz7vXx)3M05Swk|!IpvTom3GDW?TYI=%D;?7dMuS)HBSJL& z?>hAPlBRVFt1Wp|+|R4n>CP6&OV(x=Wz|-P;sLPzmwoM`RhmPzQMIejuQoeAz`xlX z&E7L10K-mcdQgK-9P8O5ozcrGEEUo$owVvrYO`q9Kn~n4j@&yg@6o7%5YiiPv`z!Ok$#yE;o6B!Q zHs|ag9i&Us!KJ${w4eh&VI~y2K`yCTd(5X(tPpH^WX&b6Ct074>Au?kIwHcJhi?Db zfk7{-qvxFQikortQ9OGdtkfI=1=qodrjBYN0`Ggj@iwuq7Q3x7HjH!u>Ko2wWHR33 zG|~RXRzMT&IS=Fgu_H{_JYz0(XAtp0YeC&iE5ep?MJw3#;j#B%9Q55XF5uww#|bB44X26ocf&Guf{^amiW1dG~omXJ8&@OUP)TmzOXB$TV~4r*zN8F|ZT! zYY+Wv&4Uu-zcS$W7$x7q!kBm=#b)0l{G~0Q#|8C(Y7#xpZ7|n?yT$7=`}sLP|M*1R zvr+o8N3#Kb(t9-V7uG)XX!c9GixzsK&yCmAm`ZBG712x`k?N13UiuXHgaFz3q{iLC z5x!~tz2oTzY%EUFxA%)3a(yHb+#eQwJJ%3-h^{q?U_RlBKYrZpB@G6akj?(N@r{Y< zIA7adjpB~Ws(aOavEgl@2P{!<9`{UZwQbB!o*gR>cd-NFMZ=uVw~FcU)#`TB_U4TF zMkv>F{z}>Vo!!o_x0jTF;dGSFdPq03?!d)qWGYcDlO-jA(ky_-jPwfxtV8`?FV&mB zGUe6g5-=O>+m*8&F}y9R^0x?K$? z@}(G~`udI0+CV(jHT}Ha&wS;2#-FV4&R^@g1f@2fFA!ZmgG=*L<9Wp88ou5azcbBt z2K%F1hM;Ed{HTwgh5S*u4cvu#S>G_{CC{wZ{Zy!~lc#@QW7j_Hn{2v~CvgoO%{g93EP0q|5$%`=z}Y3JQ6(Z0p+`KKb`goU*=K$uVUY9TP-tjZilL1Q#qe z!8CE@Zlgb&oj=!5h=;HOH+V~eb~M-V&)h6<`LZvB4nE0IKFWS}iwkfvPyvrui(MUy zCxwJlM!roE52N-~u&O>mxIsEUJV)Q>gy!nP_^41#&H`M2FWTmWA=#;(FEgiuYF+ML z1fQ9Ll{bG%I~d^H&DXx_Td*O`l=oVAsZvpTW`FK4rc-Vu1h4+cZmhU$JF2Je3^}Im zA~H$C;$WWNdR1ohY$QNiQb$_;s$jSJad{Zb3aC*_SH&`B@6GL6J>rqebI9OYTpy`T zJBtqH34nh8M4Uk{Z;%Q33!yvTXc%K7AEEilyFXw$l=W6chbfFXz?H1&mFm-~s}+x{G8wjGkg!%l$z#?XzWg~B zpI2Q5CE%{`hb{!UeR#B;&Da>lrOCHvTa^? z9-}|Ky+Yk8)a+xt;}LTBD|B+TCe?j0Z2VYC;1C$qbZf#IF)=!R2P5U! zg);>g>YIItth*m&xT;m%lh!}C8;{0iFNyVHj%1e5RUz)%JT1M>5qyNAaYWJMp@+55 z;=mnl*B56c(q;Q^HJt)Q)OTOD-15(lmf%%L4BhjU{>8`<0A?ufn()Jvzi}m0PjY@d zSYF3*wMSYtY?89w>M{1*{NZ%Y!Y+LgWv!IAzjKMRkxn|xwp-_Q&`tH)W2WLuZ6(=ifs66 zmD;)4XqGgOGK|p51-6rEHuMo+(Js?b z(v{|Dd+;&(En%H7AFcok)qd?K?`#8Um+8f{afd$ICO(;g>79v|Dn{7-rPYnbMV{?1 z7kA=RPR*HA^;TvWq3hyzFaN&C>0D#WQq?pS!lvJNCr!YAc7?KM3cvt)h)s&_-g+jb zhh;@P*aw(Lsrt=^Yfo_hy2f7rt;$mqAPeEfdH~9*nCSu1zg}*x=kInrM2ckY3`a!wmNPin74&PcldO%nt3*n+tu@cp4ua2_E(I?)U^HhuFS8*Y*%g(Y z4GGbS-QT6<3A?N$S)UX>|BF^%&g>gumq&T&iq5DYE{9>h*JDmw11pm~ChzrlVNzds z`*X5PE#38qZ?2ix-&@iM!fp{@@+_l*W`72K1FjcsRxq( z-DGtkq+WgtPoMr)SpCp3xwjXeq?CRhOnB_)_+EWf-V#9tKg}-d9qbIipvsD$+wLrJikS)WfXAN<9y`@VarLt$uNwTt?1EPu?}`5k|S9ee&FE0Udu`SG{? zdzn4^I%Z$hEVE}z{_C*PuvM|w-j&PEro^_sQM4&PIc+0LehtROw3m(CVu%#~iJYiu zOP`kXk1s_7;>x%B zrxZxn#oH?r*g0eOHj^a=Y8C2bE>hxK&xAz*r~uPnRw^^CSzBF!!l^lZHZp8;sY|s- z=Nc-{KFpRGg1+W(Cc?a>D9x)xVVC_oH8Rt2t-pW|Ov8Z_$XK9B zb|2bqR`$-9C5xyI(Z&0p2e~N9N|7CZF1wkX({uED?ZiHuZPr~zq^A4GR&h6Ov3nJ= zDryNz5B{%8751BHwOd6eol0K5?REp;`V@*q|8$t*&vM<;qH}ezz=eh%Y!x=4X`iQfG za0z{yoQRVSE1V^q4D^2u;RX8s-S6b6`#8!Phzj`t5E}ViqsZTm^PV z!7ph13fl}_J*}gb#Em*jGB+Gy`)B@h%tE^}ZIhj5wox=bIUe*d8;P@u3k9x#)I&@-b^(z)iX+_xGb4-OMK{YzJVJm@}!3=;W7e zjjmme_s7j|3m^2R-sEw&l$+Dsuy7APodG0Nj%jXv2pUfdn`nxx$!rseKEJHeBlf3$ z>jdG^Im_PoLZ|X_1b1^(;U}#;e9_moSX%|KgGT?X=VQ2qU~Wgz7ztcxSmA?3WqTVX zVkY+GxvdSmfw9ZurX>kQJrYr5I& zbDPf46GL&PQj9fnn(xh+elTM*+AOZSb=a+K0aca%^K-JZ;pMOSD&;ZcstwvDJ_m0L z5nr$Sgfr-EEMpydhd!WRzVyVX)`_}LQ9v?Y@Eu)e&P!}GO9?RM*Js+YLK^L1PGBgR&_NB=R^+Wt?FYx`~=f72`X17jN-@2`0(U@urgx%RL}M{=^0KaVcI z{Sx_mOM$@SHT(6h>()=Kl5fbI>8CWO%-rYKGf8>J5%Fm;!1kp94GOB~{L*?Oce}Z& zZ$lsd?M9{d^Cd4PkIFTVbY2%TDF9UxEeks#!|C}-*!upF^Kem<|6i`&WqDclTi2_9 zRVtONbXITmQc+P9QN%5RD58j>D53%?qJSV91-EIX>UR*UF%M-nauhk8q*9gft#mTe z`@Y`$zM?$O825c$d~akzK4LeKP1g@r``2#;Cdd82fkyq{WdakXJ}8Y0qyGUF-Mmyk7Db54ZSxyn()X61GV7X?6WRr+bH~ z6I2_((pn;aziL$xm%*ey1$7ZO*3N^7DihEJda8X_%Q$cu+YFv~ep;h92MB0+)!tHF zadm3j)^92|hib~3>P!Wp=UDNI4#_zIkPxIt_U&u7zv0VS=<@C+25ks@O9Nr%_yY;HTp1;UmaoEYTd<(5RV~fv>XZF`DuM& zGyZxiCO_QoFE6=?2gx;2z7~2>mXgUMbu0Jt%yLzOrtA@{XQwk#IoBpfebq&oFw?|hs<`QRjr&BimxxbgO8vW^@!N+61KLp^;O5=vwBVIrBC+`mc?dO zW|g&l%9T&chFkxeIabvs&BP>H^M&}eHKBkyVzolYijV$nF|DaPR z!HC4pNTi}XZ^h&2uZpa$#LT!(`cv$}3~lv$_JirF)X(1pa+Klv&fvJn+c`G~6SJ#9 z7mK>$6l7Cwvl2{$S{$3d&ik|StCgSQN9{K|wu&`b@?at#h?6i_g(E)=<;8@%UVa?ZJkj>|4PTIc>i(SLP%zZ1a^P) z%C&3x5#GOZ5atydpVqWJyy%LXT)N}NZ`4$(?!e38vu3ld0x#f`>LqIQ2JkH}O%Bxy zkFBD6zuacwl!i8`;d}TuCP!}Xx@+WWO6ygFeP($iez{ zZZ8Km@~KnCdUwt0`zbcIJH_8f^O@Y$+vdo^X zPeS5^YraF2uA9KDRAnyxU*a3&gRE_AR`+mF4<1?iR4h7~5i*WCN$|w~+s5U8|G)pw zzj~+L`Hx1BUGuigw(kEe)0a+=?UINgV$oypN4UD_@vt#v^WW2F7Z13zUD*PMwoBCn zp6=fXa1V0vs)B0NFQ7N@zsLi62DWkTsSF%4^MlkPu*W;{T(z-0+m}i3heMd$ElLwh zoBvY+o8AR8v#4$4`yPQ67=urzzg zL3f+IE>ZJtHmb;>A_V1=bk4DbAiM7QB^=Sx@<)@M&^@N=RUqAp*5K!V0=+XP?~QY; z-`U0POKDBOVYWI`Be%-9M3Cb{FEAPt{4m3FV6@5?qje}LFu*t7WeaG1>*a~{m)Dy- z^!Q0XpXnS%U#8aI&0w*+F0YxE9L|&RZ%+cv^|!(_Yaw6Cn*qV)n|}MBjW&*?nC4L0 z;PitDk$T_cU8rrp^NDoU-bIC-=DXYRXhv}?R!{I>kWBM(QnB1;!@s~-Wd4{;&TjLl zM_6?_{cUv4U*F7rd`upp?DCeTPy(_}@2yY2u6v;AZNSfbRFt-5ifCHs-;=vr#8>x^05g+FpgU~TsnLbt%Z5@vuicxTb>VyL4m0hz9MFD+(fp<0@owjx9;&a z{yEr3tB!mkjI{0HJ&ZofD8~w@8ns2TRef(;@BM6PUC&Bqa3x`O(#EDQB>Pu5S-VY& zEP%}%*jC~lmpM=$dH%gW%d;>9>LgZ#x3HyF0b}wv#6KBHn1~}+SwNnp*M)DuQ_7oC zkNnl61b1s1cxb*{tsICl_@c22G+pw4Dg#Vq^3gw%c{pB~lfV7rP%TIvDdEH10 zRTPolb$P9d=YNRw_;5}^1K>AJ(D0RgcP;Kc+B;dYuza;TNF-3HKAFGe{q6auc2DhL zM)h7 z;?X8dI|D^q4=XMpZdy=L9Ctc~t+!V9B6)WA*+n|smrq!6`B$M- z^R+BM{gX;&-MAK?s;83k^KtcFt#i*u3Qb`ix&J5`Ch7A1Q^*RywvqgOaY&ww`5Jaw zgKY}{O8TyGpM4r4ksP(kaMVgKpnX$aWJWcm(E=!S3EHQM(g!+PYy^Z}6@!EkXuQr@ zD_t}bWKx&Y7XO9*4BE?lJLzHKwU@cr7G0X!2cpah)lpNW7T(7*qQx9Lpu5Rr32jJ+ zZN@$7ive@Kw>rGETjpL3bSR1qca`nP8sC?f0a%Go`NKv@*^u2fwj4SVN#|k`gTGtp zp)h-aOl81nnmsqmof+m-fXNVzie(EmDw zu}fA>G0zgB)>}h*M%Q~+CK)y^2W3RxD*7rI&`nTT-`*E`I#bmAyWDRVj($Tve$d6V zv1~P9*+E2%;&xkX+#f)UysMJF;Yhb-$E4#0U@RT*q`ouG2MG0t0(CAF0mJhJrOGJ^HA~e>C+4PRY!sX|FO(YtAN{ai4&5{Rs+&1diDO_ z>b@=eJ&{=K2Kerq7Y^$KBF@B%R5<(-0|on9YoE=Zwl7ntOYFq3DxoQMB(6Fc!Amr( zwXgy-J`ZR?#wOOaB3?H!a$b?4vAu-TT}dtyNNxY=(;|5I{+aAw&NxvyAIaodJUuCxqmiW9js6P~Y?&D3impS(^m zngptaxlKc<|5U`%i0`M3BKw^p6--OqGxn_FGJCBtFu_xg%sjty3x{nrTHBYwfyqs? zf7V#r)D6salK8p*(!p7XwPZ-Qp>7g=FnHUfLU{gSZl^YkhxshF4(#?#&2MS4(?37? zC%fH+zEYifS!Z?gq!gi^vx=O)Olo?Yll$W-lxCikd&}AqaobRI#?4||$8sM_B5S z{!@2#?Dtvrp~#oa_Qe~!0z^S{R$(iLWY-4`qCZ{faqs)L1?x__%UdnjgNmkU&bN3o zv;)X==*QD|a$VO9peFE-6&?K=CL_Ol<>e`ax7>BzYmMrgrHvh}jVAWF`eXGSk<$WG zb$fr)?mF|rdu{nT!C=g%P}wCU;*!cUHyCjA1f_ye$>de-#JV-^FnmVkt|bg9;8hbD zeAp+c?QL8B`d6`H%?`6d97vHYibhopI!%^m}AVTTG`i%>r+R*1LxyaeQas}$Y*mD%jpdUrqC+U;@+39{l+@akEf z;-{@V|COkzj;Zbr?Da?|Z~5t?zYgFfyH!9h+&y`Zoz6@-PgiEskN_Tn!2O_i9Al^!yF^b z_6Z`6wTrZrXy(3eRFZRY>|XVf6h#Nw6+sHrsLj^bgmS&w@@?oHKutd6o6A6*xS}{d zJBa?aT59haypJToP@E9xH@t2p1M4&DZR%WbMah+%>q?mMXbjO(b@*I>Z+)4);OJ2j z^91B~JLY@yQg`cxLcsp^Y`3Pwun3Rqu-2`=h81S`>`Nw3`9QcgrG=Ep``x97>V&ok zXTa!~jj~dCysk+K7X<8+yNOu>IiEWqj#pQBYz))pvz23@R|1cIzAvW_7^%Md{;Y!? zc_qKPwh#9Ac`j|wXM4z(-4mMcb0+4tvzepa?C9_v9YRW)i{#T3*u0ugqU>t^a7i#^} zkS;|X(5=hI4p#fCG=`OSJ^u?|ZTF;B^&yg(jEVTr>u95^%@&%S-q_T2em6$J;K^=Q=XSiQ3 ztqGe|bUd<|=@>_|ne(9;b_PKM z%XZn`-%=cvaK^5!wNm{N5XXksAxT@xHgGWyuO%`YEqfPx=-qaSmbNFucUx|58;hs< z>EW{(pMhpv>fM!9kKsSv(#l0ye6`#RM=Q~L0mT={aQwk$-J+QlZ|aatuS)*2*o_ao z+(otr>aS}6S+X&=4$tejvW>WIWepiCtUCIl+U~er4)Mn+RWcc=nh8(kBX1L7yN&zQ za8>6zYif&xS-_KR+*Lkj=y8oV(Wc>>3jk}@v0m1J2cbPb)nX)0cqK>VCzVX8aVxKd zJ1+O1-stanSy>wCJ+DD8vl;2D5iWe-p}hsI#F!g_frd-H5}8v-fHx#68o6&nZrIDC z=xF=V(SaX+{n%5f!xS*ug5IR=2WC20Ki4CkciZT?#GHOgX9IEj=u#RhYDXlmx068I z=j=luUzNYd?LoGRS@HfjN+AVg^Yi7~9@W8hAfJQW&1N6tM|d? z0}>e+l=r_3m_SH>mSeWX_?B@L##8E0-P*MHb1rioHp$M7Nw^z~8rm0c@mw?F*gSl9 z^I_wZ^Y!EB&x#rGL2Np?HV%0+Giz0+Fw7aj`X9t;Np@|Z)wdC6Q0?)h3m;pKSELy; z=Uz-JTwf9De)9HD<7RanS0*KzC@ff-#UmK)=w-V+^LS+=0^7Hk`Q=}jP%U)#jCd;e zmVaLDdJnAq$30a1Dq}NykT2;8t5v-pojCxzZ$c1<*?8#@a7-#^J^R(2#_b#6TL!IG zer2oV?2ISM`b5X_?rovbunLQpR@jR3t$+^tHPEVTOvPpa7Tl}ni}Ns@Y)<{j_@y<9 zal#yc5>*Z&#<*8xBs0uTybjQAUpegI(_0_#t+I*pFC7Ym?HmuQm(R18!060sj<0HF z`fBWV!+(Yu|7QH>e*x&P_8)%3zmFcwGCJeJE?f_+OZ`AZ;$pSGzgE4?VY-e4TixqU zWX7Z>WQ4NF`I}0EYaSAfZtUu?@+RKPLw14R!pkQNAGTD4b+)4(f+$;+>g9N?>c1CP z?5Wz09b7<4JdU_WkoPu9!+UJlV(gCCCTMO;J@iHIbB*aBy1zqy?T^MT9~Gia#X6!N ze(G#ksZe&Wr>pw(gGGk-Jy>rYoXFIJ0Qtup6FmfQ& zxMjnZJ@zwTipfaC)F?xs*bGawq%y}g_aT=X&6K_RavwMfk-x|5uFS9X%6WZHAM0wFZ7 zI9f70`Qh%!VOWu=3l#!ksotVK3pwT5?!A@8ZaerK)=u`rl#79rqNBUtJl(n7(}=TS z{#8StAB|DoLi)$OKJQUu{GBm$zjR{9ugRjf^NQo+#@=MI@iApeFa+t1&fnpe87Yt3 zkg+?p-QhLc)fPyKKrE$R;@YGpGW;SGB$|BZ%K+4cD82gDHJr&%VGj}(D8wMCj?C@=tEVrwcibkm=%uCBsTt61D$-exI2aG1)t_Ln4ig@w6 zjc19Y!IV8p8p1Ab(0^NO!{-;U@8UzNS}(2cm{re~UNTF(u2bGV)MpRwfg|p=)>o6q zTQ3Og+*`M#>94en57#2hKXQ2qI{c;4;&PL2t#*>XO5AyQx`%X36wIbKc@ou1gDiZ@ zP#_KVl?ekN`~H^n;I;i%8f>Z)1mGae$9eyZ^~vozx?NlC+{s6eRlgIN^tbalJcO(? zY#K)*%Vy^j__J|$fQr$#lUT_>au1k-a>pV@Z>yQ5v03ZK_W|kv5!FwNO9Z9c*nqJ~r2%+0 z7?KRH^#W8x;-pQ^YuU!|GU#k(O51dps`xD#4X0h|({dCo4nn@bXr);(E@tAN;c2u~ zf6rivH>z6$c`>m!cprRBmA_#4{JwgAq0}me9qiOxpv>`=e#=sT;*jaHaMO{z4Lbn) z7^&bN7dgGME$#c zoToS{igi*2BOW`+O=+Q zRUiYlL#37#H1c*EWg0XN^_kaSfG&4me&dzz-^CYLAxib#+b*W>{?&44(cG^<31~*O z^?7&7-pV(#{PTiE3SqxGnt5bkHjJdhmT=7z$%gw*h+=iLhBF~M@Rgmgv8+?3+b-o7 z-Ha1;b4--cSmA}-(V~zLgB88#{^eq;ZuS(e)o(3~S+eClZ}hEqD$x?1Mf7x##q+K^ zEKW!7+x{mmAgh1ztdvj(+uUn(lQ>+t_^NeGGEVcK7&L^2> zC3p(C4VLYlCxf1JoF%80kkZU`Q2D#BKVY++7ZA$hgZ4gila^P08dZI{Cqh(g*?X8T zc3A>IdyQraBsW;RUGIPo6EhrNF({W(xM611PlOCaf4FJ8z`?;v{A-wxf#wObB4Zuo z?=!LL4=8Kd#OwX|Rbu6-;bG^MwfMW;5O#Qb13`xitNR88*tYX3672E=@0o9O zkfQ7hx$k}cUFq8Uu)K~GJ)6ufBbN9h!JF{VEAZs|o!(Jyb_Vc^o4=t7*i-#MDz7%n z8Ob2U*=$Q_Lj96tdl5VC+y19CU8os^YmTm;27Xm;{egg}`;yVJMvnly#=}n(h3_eg zwNV7EM0hD7 zpS4217WT8<4{PO8>o6rAO7SqxEmCs#>F3_Hchk?-$Nk3A9gm_8KzM0sfKH8rmrR81 z;}uC1J@u>1dcEALKU(Titz#*%r=?sLoBt)@U~4>_tt}RN^W>W?_jvNfRh&z&v~Lqp z-J)tI>DW=C!7hWsa^g1fuZQX`UjXHVYpOuB zF4>@y#OqoS>#1wMt|HrDoip)mett2MWd>ovyry8}jck}*X;JO0Zz`&djjnmf_D}5E z>x>9J_sF5NL!3X)j&nwMsz+pJu63Q8ivs?_3cfH*8Tn-tU9ca%^^Q=yhFEra7u3 zXc+Kuxy_Av3ZyqUANnxRk&S1vuMO$o6+F=*{bG8Xi`YMv?L;O?zUf4l9FOnVTC{pM zH&+bzb-&puy z7Mp(O+;vmdZk_B@V+lkU7|t?yvekLni78EE_&XUaBj_rQyL@H*owsJTuxI1+e1TOR zdGv|b8>uk8(W^C{tuD33v$d3-UcUt5^u6h&2Su`2(v@Y5R3Wv`mt=Ns0w4n z#<(;t$W^%SYmPZmak*qvAp&=3UplYR`#tHPB)GO+W0OTYtWTqWFp;)b^ckUiXxq+8xgx|PCW@K*EY(8gqeOmupQ)^cQqts;J^|84dnN& zUN_VSwP9{CQTfjFo*Ws1d24=$`#tVWV5WX4>u3k*7;>%<#ahYOqT}yjFKZjTK9Jk( z9MUgkD?{xW#A1uK4i11?rX|_6gM|<3;EF%jtJai#^v_dkVw|cod)uxq8pt!e{1H(> z7?l7|!zjHgnH0lAm;2HE(NsfQ!qH#W?jQe@W#7@{10{~SC-MEdrU2<~G@h^=+t(Sxn5t*NF_=WZ!#PW*>h14+wg)AKGr{7>0F zClHD$tY)XpGS+Wqv1$|-M#QEI>R~X%C4a$ewWM~78~hDi;?Fj-x~`!&#ytmb>@@F1qE{ZfuE9tfI*{74A?*O zM_r#qxB|nS$ zYo;sPFWH#ig``&;yQ^iospRPylq^=WOuQ|szx`qYT*TipcSVzR9@ejuP5)YCX3Wjs z|IGl|+P@guXYIu4xok?_-vENO$BZ}&E!Bzg6Zv3%%e+qtXnDyQ{_fjs|LD+@e zH@-Z@c((PK+F4bG+HkR-?U-|9RW>uxto($+Ft=*P9>h?5aPzebxJRPpQPXvu8hXld ztopX2uc+6Rp#V% zOfopD;koCWlp_rPluiOzQ=y=wd+*cpyFk&|^w{0tuh(qUtRJ1}=IZLkbU4|;+*{b4 zg!>;(zEY@iFSBPxppg`fylZ|tDwXI(rE`7Pk;TJSqCavRKw0kyJVv;9*5bsCT!YU9~ttNkNf(5u$>YZ}SBGsMPwYUOAilH{` z!~npP|H?nER(mxcs8nUoUfJ1cG5^ZEfS&F_ack-Kb6SI_CehP6BH6Og8-7>U^ou{B zz$OpQgS~nySlgSjJm^Ho0@&Z5g9Z;yGiA6_?UM-LCfi4+g?feQ7e$8Uj-g1ZJf`XjwlnhAJWX(RCQ~^ zA|tp{EO9ue7W%zwcNbO*bIq<~Fv7NxwA`PsfAdPWk15mX2T#6H=|I~@X9HuzNnKMR z;t|@io$23K+Fz_qQQ(TUKj`gvC_njYHUnsWo>*|PcPoef`MGMgd|!NKbIaiiV%-h< zS*dK`$qLBh{BQ?i?(cRu44VFXF+5%%1y(&iFqI);7<$fuOpS8kdrm)U_J)P-`e(b< z#L$Z%HgTIOR{*y^N||Hs+EIKfwzbv)gjA1f#X%tzm#;>do^+cnsKKZ#3k|t>8MgMU zL#Wsre-10c^0jTAvf(yf^pffi&e88{CPWJ7xzyTRdSu+q5Fam-+?W3QzHsIU&wr{tWg9$g0c$ypM{=lTI!>a#BXW;Zx?Q{-lQX%o6){E`pbcnS%#JJua}cp+`q;b?jv7rQdtJtrXV##wibr-VNnuR(WHC7GL|tle^Mg zZZpi-#cun>M#To~mnwhxoG(cAR4n8x4T8quGlPqYEWoVKIedxV4hJ#;7t0;Qe&yrU zwnhXC$gb?H0w@l?MT?7j!OlNZI^S<4r+##Juk^H}Z1s}1R)02*U6v9NqLn*tHlW(j z39eaOQ;kf!Q+_;ExX(9ZYGA*hFMBzn<#$i(x;JOg94S-!=C+a|+L#u(k?}e%fKHCf zty+?L>HPjn&hOR>URM=vC-yzI&U7UzvF3%=VHsfQzH?f;tIh{|kw!jxR^@^DitQ|1 zd(NHOe^?Ly*M9GR{Pz#`umA18`>X%|$P{daz4Qjd!tMz{hGOa!@Z5aE@9uK{HC0Oh za@#BGqwS#DLK}5p7G)+7NgvsT!O|^N?+aPCpOghi0fW35IPbhqg?P0LP8q#JrnQdx zGXjbl8T;zT3{tUl`=e&#UH3G25+z+L{5<8H-GVngH>e^>O|OkjJ{4-x{53r6t6AZa zUZxV#ZnDCPzA963tsDJgzjw$CUzDPZ2iO?3M#zt5-BL29*PiGF*en}s zjh!|DujRC0MoOIkhvlGQ4fQh?qhWrN!r)HUKd(n`a*uOK3oIc{#71Kj(sp3SoFb)- z*tl$^VPD_!*~8VG`0QU$UxUbdU&`5Wu>}FrPGsME)>|yzQlThha;0li-|lyXdvB5W z`DJcYDbILr_SMPz$22B)cs{rKFn&ReKGQr8P9a2fHZAZuU+om*MvF zWjR0D-!?UFc3-N{y7;J!(Eu;ld#U7eTdUD^VO>ur$6Gri)-|CP;N52{FJLV}D1P5( zRga?nxJJ!FyQ2qr)d0V{@V9(;%zIm7yic@?p6+h-bcv*%I~T5I1}hpiAEY(jw^|a* zB~qq`L%~3{AM_b<-aLXf>t!x*w=YcJ-1+knXn*HxkuC;lud(_LzS-bs9R1cNTtCdy zCuEUtEm=@bSk5fUvpTKB%HQi%j~ul?IH@mF7bhg6N+z*$ z#4<4}orrizN7vmG^-Hh5%Gm4n#adi8)83?Bd0>z2#J%Kz7dc+q+s9-Xj+sEFb}D_| z#+fj96`z7styjt{=>)aL>0msGKlG|EDp$@??qe~$UWLN|JYLJR1L-IBlTPRIX#ON6>hrgEaU@EjumIqUGQOqbW6@T{fnP~7*r7HDC(`BEY z{w7Ok#)=NPnwAFyb&^&afBzniCuORE-wIIU;K%oL$q8>ipB$r#qPCAA{Akt!1oSI) zRvKE+nNsKL8t0Y^M~f;TB*62c!)}iZ0b(%37u2#rw$;T@u$&2j%Y)0mA1=$L2 z!HlW9t5)x|!o71SsINi)adpZih3lFN!Crag&!kc+)F0&enmgj37C_Rv=MQ_!?p;QH-?Pi4|-n^kPkF)tDMr!ATGPj*%x&R9Ln+Nto%JuhP;Om`ynm}bw; zZF-$EzX!v1he4OT4?>UOal~F0i=dAyz(6?czd-j7-O6=_CUko-Kk$>1&I97+Nee&Kt+m|}f|NF?G;-ZfZj2sUM zCv|x7SXYvV5n<nBnhKkM@7aey+$YV?`P6Nnf_hnN06z3o724fGTB{B3 zlhG627r5J>J%77K4ODDiGiKy$>+5DrYc~9g`QyBDfs=+(#Y7bTD`EISfH{TS<#a5* zJJ!7&?!(st5X4A$Ofsn>O%-)?oKB;Qp-ugyu?W^L#FnjhcUms4Po>6D=FoBhsLifrQzn|AyR$xi^ zAh}Gt@ye>Cc%GkA0g;!9JDq z-C?wMp=jNO{gx9v(7USl&+q^9u4D_D;N1PEKeMl1iAfG|RcwpE<&QAr6@gX1fn_pUP{da7nquJK!~-Ob42w z6uX>q*?!Ldpvk-`xR-T>;D=KYee7N%H}yE-FMj%$vG6Rc%57S$uZs%wL6CFPj=eR=NB=}(crp}cSCPlzvJE1z#jPG z>0f`=$@y)@zm1KYGs1GZFxFdXfGmqnS9Tm=DMLus9wIa4UYL1Hwmwu*O!Q(7Zeo%}SH&!q-WUC;W zn^3$uEHB=;rqf%%TUqM&N&Nf&LI3MN|Ld>bCI4e86cR<_T6s1sxSJtysLM0zdRfAP z%~CV1YjUcoS0Dldx0cDmC+OK@rLJn%1y-|LJ7G9lWOsA(@fhs|w?p~|b;cG=PAlYU z>mWdDqioU*Y$u2jQ(#9RLTLT*;coA><`ai=(Z%XuH9|FbVw>7xI?hmETS3$9`OY`Sqcr zbm=FPY-7IdFmx~)&N7;Hf<-#yIZC(NCm(l3dOqI3_eq&8ac2rhhOgiGfn>?DC5-)y zh({-Y*GzvQjRhgO>OV8%uCJ7xt&NO+VOMK)bULalsama<$EBKc=m$`m2*yTQU*JJ$ zh$PXn_S~!9W{%#cdGA#^wWTup`^z^bIm@;d`!GRKH|;R(%JT}eNZns~r&`Tc+sSX1 zUr$s#uqIyZ=?)iun{h1%)v+#-fuC23mzPX9Z|A8(w$ks+@0a~TRjTscIbi}jhUAR` zd$cJ~plM0_01x5Ao^}+^ViK_k{_?%Y+yDS392Tk((GYi2qs{+D!Pu6XW}d&zzP^`Z zeyg*A#AmOIW%dT~$PW-)Jwp-eTpu;B=SCszNm&1QM<=$YJ}EKYjMz`T9PL}q5?Kqk z+4f@`$60qyABFlJ{B`T)w9%Z6oy%Y2GJHE(!qbrIIzAfjeQgxB6jV zp9!|!f`$})DOy`rAuNg(_KlPo)UAj8SD!zpbE-x)t=!y^7sFullJuYVdn;!>prEC- zaH!dP)cQ5)Wb2sY?!lLLIeOzpiLn12*kb`<$k#YG4Ngba$8zF%OHRX;u+391$CZ2f z-71_(B6p~U&wcX-^pH$;?tHJJw9RMdyFc5kR!cPTN`+ zrOnnY*>*lDj^>6`mj`jhXjUql*rs|Z$=konCU7Lm_n-Dy9Wc5p2_c5!WS7h*?0GC5 z@#*!De8U04dFRP#Hco0y6U23oJ84kDc-0Y4a|w|GaeL&i4Ny-E)SUjwjCMPi30Yq7 zA-BjXycC~g^ z383?>#(XIqN6pCJ(}li)@M@M-Ymf5Jtv(8`$Gw()k~=cpHdL6+BIWEt?B5>CYikq^ zRyp>}!R=2j5!ROE(uE=0*eqN%#_P-bD~^-DV~@PwYVT?NRj)CtBc9c>Y{jJZH(n?w zeXc#k$s?%HnJ+k9CI$9mOyBC@wtJ(`*%-HhjhFAUA(gvqYT@)rUh;ehDbAvfRxo80 zo5dYek`85AeRrA%_fhJn;zbR#2_3IGUEZQ4;H@k5)3{gYj`!7-%edV}&9eqxum}CZ z?Xt`~J$qf_7jQsn(&4Q#q5aHvJUC|!C)<`in^THBO8+cwD{c>XdDMtU``SCGM+ekw za72L=^N@pVX|3O-LFcuHk{vXQ&HhMxtZ>dL_x=QH>#RMm_F4Bd>H`uoxJ1NBa$AqX zXiD3YCooX-=PO?+3lB3;%|f;$UfI@Qq`RY9crqeoo%GKh6Lj^KFa^U>)AYznXtdV)RL__yfBuN{ONk#XMi04|06zG$F1tZa2`9Q z*Mw;-EZ(m9-g7>H0-veHmFP4X)94&qUFv!{OYz~~Bd^c{SRkeEPXzNpU3xDGI(_qf z=vs0`1lKnm^s#*G3hSfX5&Q4w-danzc*FY|W2XffVy*`imiSj@<{dV-Z zZa#o6(JrF{XVcqVqNJtA&oeAligcNXp6A7H>=!4!zs0y>JN5Cr`{uThZQo>k;YhP7tBAHn3RP%)QXvw=h@=ZKq`@RFoFYP&L)4tM$Ftd{yOznXS>#{;#K8U zDK%8QR2h?pjj_LL=U9bHr)%_D;e~e|J!cug(!a!`lgorDjLXeJXO&GB1`Ec6G;)B9 zKA_J)u$$lZl{0t)%dQ;DKH4Y?Pl8ReZ&1tOc={%Q+GPAeU(W{}xpH#vWp!H*i}{Hx zy-K~uy*`P>N&#z@SOW;vnJK-x=L=_Mm6qJZg&!2q)2%Aq!o$JD&wQH}+bd!&YPG^H zJ47nNHTybx-^M&=Qhi1L?sG+vDI~hIJ^YT)#;^Wb#j7mk{(CW5d|&;4gTwfL`M2)$ zUw|uUw*J2fe<#CugM)S|7w8L8^hMSN<-0e%)r~T=g@ezzeLP$*JK19hjRxm^59d?g zhuF)0Rm&~l~Y=~zousoj@$*}$a3Klsof zqa>&I=Cwso(+H}PZZ3!}qo{S>ZqK)*c2p0mXi1I>oeCpG=mG4+pB`V%>B*<&9CPgZE~s)7>J^2FpFvk{WLHu--^%3QJ$|d+=YF1B;kwTA_dAZtDLrK-M=aB?fxjStYvEUoj4nHW_0I3N zX!tBR56*W)y5_pb>Nl8fBInuuYWY$8w|rhlfmRvY2rxt^<=%-3*Lrw-j7Hkxy4xw} zSxkDoI^{ttbFqkTz0=|+(GOyV+Ww^=l`0z(0=&^;{%YP0z=3ag>570-=+o3bld2`{dNt#a?5>T7X6JVqkS zK#^})0xb$F<(#mrReoMP-!p~&YglXPwcMWrx~`-HH^@5ETxz>dF_EsUUsVMV+DvjGsKV;0tQQ>XyoJEWcvZvh0Ty z@2U=-bU)_|zQLJ1BUCWb=SThG2-#Bw0F<70D3V*MsM*^7sGHd?H+LrdvHpp2#tI`u zV3UXr@k!3*A_S6q=GT&c_xV!l+zldfD~*I5*@m;Og|%PZe$OxQjgM zcFXaRWL$?jyAP{5#I(psJupA2fyLza{YSg%v0~mjBattC8@g0Jwm(6E9gWxaJQ2wK zygA7Cd_kzQ(^Y%x0j;*;wZ4hlhfFiCUrhqdHdbeBP`~Dvn(7q~D+Uv0T&3#c_xCsg z;2Wp;i~BR$_dc*iZ}Eu%S1|pwvC(%>kpFVq&Y~C`KUQsst#IQHHRG;UGA0Fc2FXt4T9eYQ1%k{2AtQ(AC{BKK?lkG^^UAp%Dm9S1;2hSu8#DSw!=L<6#T~p zy#52gd~vD@^Yvx;dCz7xA1+C%OFv43=@ZyEZfnh@R|}- zjJOZe>XOSq3@$K0&aT zJkCZT^G;|D>5x@))fRwz^TzO*ud~{4101?xiM>AS;vFhaPE{1#+3I#OWj{07NrMYJ zF74FQqI@_{2w0VP^|6}2jeAOc(tB)1V{~wwprcpW{R=NHyEN#PJ}h<7Bfp8Sw6)Y+ z^NX2&SKFw!>Ka{-%9S}HbM>~3Us+jD@%4pRZb(eYTbtE&vL?7fv(zoL0o)-~nk$WU zHn|$OA)~eE_}Arh|FU|5=mydOYGdWjRHh&8VR<3-co6VyvVf0STQCPZv#PWz(ZV1Y zY!r~F&D?UPZlDLZG7G_HbU2-y8nIuOW_&i5Ye;pZ%+sQ6Zle&lN)GN^_N)OC9Va%= z->1sgO4UVu5~;it`0$k4J5M{?eSU=o;ueR^p5H<$g}>z)As4TA#hjS;u(qyUAYnyh z_YfFZ&n}zIthJoQ^&E-`(AR4|;Es3SLyte((3)YDnn90idfd!*C(4Bm-MF2^*W#eG z=NG)zFI~&H8^gef;ON1JDx`PCF+Y=80I!*7lrq?)}QU>F!fq zRZC$)ZNaVb++3rQ^IkhIS)TRmCd(A>WVsMBMr#V%;PGlB?7UkLaBc5<@*X10t1Kj5 zVnD#*09`C2!X;1teWua7S?;e05Y7l{7ABtrwSUHX`p zwh~)i$Z`~pN$Txnlzi< z)(5h*)%ozg`*`{_HAaW5ziP0znXn zyUYfyNwu*H6&x+!|07wxzI2!dzcGvVXXzG2E3Id2{bS{Dda%u1o!UOI;%?E~erR9= z(Hy^%G`13w-^Fg|U}VBNLiL(7&UY9M3~ES$63gwB$uIlkM`k$ql+fmGnT@*(f>-dx zY%#PVz5XnA3Oi1NvdrH}UbuIB!Z(M_&+`W4ShD*uTQVCx-@g19^=6aEev$CkI8|0z zp;Ntj6$P0PMIu|Pw9H*^7IiWSc{ttIJ-6{8wxjvsqHw=S!&{o+Y#!gN*|jzny85~> zCTICRiRemWeTz{{7Ms!HPv!XUvN$Ai<>J`3o8TxlUt9FNKnLk%+Zn5^Tu$`Z&~ez= zwZAzk<@I<6{6CS~>2Mm@AN%EU>0<7d!nE!zfr>znqkd<3NOGSLGF>;gB6LgBRyn8N zrTPi<0!R3LU-ndn-V|H+p8Cf%_)D3rTS=+USEVaAzp$Xa>I@G>fal&jr`OTnl)guG zz*Inx1&93p;@Q}%rZPGVn#0WCXK07Ld_3WRHhp2?4HX+OLm%#aXU7RUb4?KC`mj~L z-X2vyJlVHuH;RkHT@iDlIq};5t?wkgHnbFCPyNHk6N< z0yAm7KpMaDR8@LugU#g%%@pm1mot3f_YQ|3tA6u;LYY4zAiB2xR80rnZY{ z4TcBxtvWwpJQ#$bp{iAP1&1#ENhkfj{laVfl7QWJGbuy6elaaNoAh4kzfr1%nz`%S zl=r94U^p8!f44HAbV|omnI%bv>s*vG+7gV)4`_eTY`U}1(-Ilg&^}18&@L9JVN3*W zfdD9`Ec0M--I(VVruLP7x0H?l@PW7~T0p96d`;0a{Y?!B+`EqN; z9maSJ{H*)@gs644n+77ld8=xU8;|B2r;9s{Adl{1);Ka&NnSl__f{~W=A#N#_3zVG zr1ttJL`_VrUD$3i>ZeQJOTTE1{E@jz{&y?2sY-3bg#vSfKCZnf%7q1^V7B%xuN%YH zVZ8(lPUC=z{8Z|soz?3C{P%;>`ZN!PK3S4qmY03bzccMroR6GTe@4m)he%6fOl8nv zrKgwJ2sVm-svybZpD@_B*S$V_g8i56my<6dBJ)*ym~`(_PbLXh)GNPW2G&-=U--1o zrOvo$tQ+_weO}hgdos{6kJ2tXYLU6?)=1=07N;%juoJSI(#IKyihMl8mp6|^my~JG zP<(Lnc2#AOtdM$k0f+SF-hK`F0$ccN5YE;3b>!r1hGb_fJkWD`8oj1$xZOVc+0`EA z%T?g_ZKHh3-LN3FY8j%SnxZuM8BEpwJ>i&e($99r&N5-Hq2sNyfR7MPysZ*cGFvc?U~JWiqYoD zEa(F}3Mcu_o_Ahdo~19_rQop1n$>V*onN1rkus%;R#R!Cms+OWhx*2`<0roCo^h)p6RJqS3Agya?<+C>aJ!9!1YEm zb!?y59{I&;;?fgNF%q56^e10)ZcsXtB(QY8S$~WU!yuoQA~m}YBG_>Oyz3Wr1reG- z%9~7HliW*n7ze_OT4FyoYgwr*-sMl`FOzut_dNk{J}6l2+TgYoeUt$PWxA< z$CbT%Nmq9w(*0yR$RoF;DUI}3{s!*cHK<>n@|#1hzJH31+@4ZlivmHuJ#nEriaLlXz?gNdZMor z(Tg#8WrkU1uac+gzc*T{?GS+{g;3LZ~K4!zkd|{AICMY@8&=loxkO+`@lSd z84Jr*rlr;REIVuHMm|@E*IKN{H>+iI5%! z(v72tGRcBmX+`+(kxTlXfDt{(VvJ$>GR4Lm;6?;zdVsP$UAmuo0o z4%Tjcyjo|qO3UZS*?vOytn^-+1$H<*4v@fy0eazlo?x>t{`rO9*6j}H#v^+Pwi|hq zjg{vvb2?xO-H>lt;aGnh`t#^j#_|0IGPQoJIL0OK!|rih;A`k|oAA26x*Sf!u6=Sx z2^U_7e>k;2o}b4o`M1;(`nu$Kxl~wr3ErkU(AN-i7PxNN z+r^rj_hVIHnVwsIMUMG9X77XP3dcRmnN~+jIUTJ>f~rv97sFR5F+Hq3dAskd+-7b_ zO#A)3J*!M_1cw1FcB)=&{QkIA?D)&3{z6_J`9J)1*=&J5-G=TGt!gH;yBu)L=cEZG z^v*DQlR|V(LR?|BW9y@1|1fc~uj)j|=xJEcgWZz6>8*3JL+G(SI8oX0=eT*6Z7Z8Q zaLttr9EDth_8%8L$%@w|r+|)Ydh}-EI&%Wq$@?#PZ16do)zx|-S9vVh$w^vAmUVhj zI9@RCZ+TTjzu8>gZNO4k7P9{LqPc8HqW7ZDmIu%M^@5*17Z53NyYqbF=eRIg6L#!P zf@)m7&sln0b!T%T3@#r4eY?pDZ!j76nBUhiab^Ayf;MP9sEb?fEyE}woXRZq*YHS4 zq$1rEX1UpjJXFk@3ZCgMC>MRh( zCeI^W37Jl76XLzR)(Dtlof9&nfVN2L!_cbJ3wkHS*1zMmRu=Z{m%3bdKenz(!7>wc zLYQ)1mCvW6eTvodw8ROuAdeP{o6&SPJ%Wc8dC#f8?zmVV$;*wYjXJuko@SHd^370G zE6Ql^VVRl5mjl~xl9Tl=weUmZG~R72>d*oe@Uhamx2e-}!ORxl!{GG}vRkrT?1?{o z_HMIJ!8OWOHL(|TOi#K3mjDn#@Auo^Wo8GJUW~U%}L!epR6sbhF8^FL>2cZ%Blrhi+ZI z9i%v;6hhp!p$L_EHquDp+V#nFAdRO}l#iQtkZjic(QX_6-K2rDsUEreiwfc#RyMx% z)_JJ{GOVyW40@J@4fu8)?3mjA_;^q6SA@~FYri`x6yiI5pYJML9;>e3sz{3OOE+6w zj;G7-Q{>0~w(!<)n{7Sg%j*gMi~i0sTk-6ozWOcqHaXprUg7V%pH#NHw44AAuO0R; zYy5axh23N+v8VGh2b#9;cvfa7nxIZ=a2t81*GlC&PZtb2$jt`8HvHs{h1E4@v_E@{ zl1QNnQRDh$A5j+1Fl1dNnlY)$!ODrN#bJIztaO*Jo#1(8ZrsiRr*>ExVy;TS)ii)Lig-73%yPvil@?cO<q9<)fV4XC}ALZ{BfkHkW~^8to2en~|O!z+M^rdi~#D?zudo?Ep+2L!2^d zt>5t4Rp0ITeVRMX=tk4PKn4Gq>FCgG7wBK`9s+DO`?Qahpj*+jcPeSuh=yaZu6!;N z`8@WU*lb&!b_y-Gc15eXY<}@A|3=&VPHzcy>>LL*GZp0fqV(jf-ye~^GSmE{3bDlN z{E26Rdg6AdHT!ItjA`3gsq^Md-8uC7(xz(G!eJ*)qSE>{ezPoH4R&*mL55>8$KxP} z_H%0q>&j0i|DBeYn$%72=j^qaX_)+b@Un7VlzqF`$22O>U@H}<`0notb_)k;*7>=+ z)W~C%>eIEp&tyiz+&Q^Ey=`I!0@*0;v}kIy`feQ_(zBc3Ql^^re<4hdec+_pPjM!eO5w6{0EXuUH&W!{&3S-4e}b*7C@v#vT@EQ#=CtRR6)~kAF*N~`VWUW+-3UiC%sJUfCG8mk4gU>h-$%et4bXba-sGa0-qkxW2 zbF$~R^AYB|mk(KP97(@hfMU*&0Y4SE*)PrEUPEq`y&l zWy`_y*zRmE@74akK}c%W{(KrAPFS_{@8}qgMap916}2={jZzWnXD;7uQmYfSed#n5 zEPl}Q`hDL+U#%hS4})}QZIf|sR>pp$Sg}cKN$d&*D2)z-!-5VKeoajUnY&FT%H-6Yr*UGewGtaRB=F05C=n6H8 zT>`@wX<|LNE=TUDLQ-?NX*RZBDwON_pchkKyDU2*vY+yDW~wQjT=yW3?o}Nt>61UE z#7-yCrhxVD8Ep92k#%MJxWQthLDxF%4DYbLvF|-^u^?#9oGsai?PK{Vr?;E+&zZ09 zE6TU_%W8g`$4p}c+BHUpglS5REw&688Hfcc_hNMxfQa~i zdVI{1s75WB^8WpQ|5vybVs~Jz67~9j59<55=6}FUl&QsRTN^9D>i?qILUbyAngL$w zbc-DMHBf2xRsGOoDL6n-AbM`|7C!vc&X`#(ox6=fW^fD6eX}mKvV8L?e?SVZ^*sMI zP+zz2KQWKL!{h~IKe3@4m{cs&nX(cE+_e3!vc{F)H;g{-aSQ1@SbaNH@W3Zg6i;6A zohA(z+I*dt4D!n4w&V+&7I0TXrcH>>kE>{J-KOZx)^u{)qIita;xn08#`!9ML*-T=(2TeKrVQ=I0DoTfBXNt|4xkqW~X z)~c`@@??Dv_q)NPrP3Om4a(02kiMK-dploNU#Oh_3{6~fdwV~=>fy^E7Tb)Fs+uAj z8FrFCoY95F{+(a#iJ-Lv#n@%fpJJZsVU3x*!E3)^O!6AB=PwByHpF~E!z zWbe7(k*gmwi*k{#?q2m#;SOE4NLhw26fJf^4OHTxVzvIA$Hktxy)^LzBJKej_uf}w zG&7mUWp`k|_1<3^`#0SQ{Yh@qKp+^LwU5x1?LHu4zO7CGqdmupcl($1p*5h-BT9iT zh<<(DOF3tJ1mODl?i``N;-nE?y7c#>jQU+cm2%0(?b3sXRxwsDVQIs8tq+jdbNWh?yGZgO-=gsYnHQHJb_dSSmHz&!1iZ9C zy?Nmc_)~^EhVT5*=j&+x&N_s@&o7T$ukr!FTD4Ray5(w0u8~0pU?0c|dP)R!s?Mk0 zC#&=KEaiRodEFCoIxBhkD4Q6CheLV*hHew+c-T%gIZ%c z96a7)pl9mxo6LrPkCjk_j^4LZ?^dr=O_uP02l<5l=c7-4OjbzgpbX>tin(SU zIg{*Kx-ZsbuQf*g81t?4H}lL*m+r@T_8D5LoP5{dDI$rt}If~?o+Dw z;2gOS_@gb+E2OiPEKNYudF&0${IVmXFWCKyK<H@J_3(BZ-gV1_4hdI3sBZti6 zSL#0YpL74+cMucD3Ipy|(rKJB!4!YE?!rqPw3qyM2k>GyXvRCC3H?9;m|KqtcqX}% zGz7NJ9QuowPotuVf3YiQh0$YFec8Ky3waA%2W{NDvyWHlzC(_+#4iA|lm;;9qsH$9 zPo~y%l{15!A1Og5M`HT+#lA}g|JPNe-+75wLPiL;m$s=I*1|t~QtTchJ zGq%J16f?EsGb`Q4m%rx>v%OF(*2x#OQwqe0m36d}TzS5LBbTjGU-8_#G8q;dMgqp{ z3OAzT12T9MGn`~vYQE4+S(>X5(6ni*LOJL8kI|uE`Qh_B4Vv4INM~P>PE4%hH8Hr@ zR|~rgFkCO^i98Mv>~EL!9uFUMwHor2jce}y?Evu>oxGcU4me9zp+zC5CEqz*ymc%= z5&i0$Su&`=1S`5PL>UVjNZwWTn7J3doSNVGgm@Z-1 zvF)O>ZMqdghU^&>fM@|i(=|kD33tJ6jmXL!8R)6#0+=~T$zuEY?)`$xv9PF{a&a5f zjZd+V#mYryvd*{p_^&@)%&GyQjGT%V1=8C)hb|^v4lSZUQ|G*xIju`_=R>0Hev4uJ z`|cqF-pmlOtN~o-&7T@`vdrA2O@oyi&;avycF}_tvFu>wbV65Z0Aqp6;wSbFH5#N7AVv zxfgoX>Hy?PJohg|K&*?k$+O$fLKnKXa-)s{_YQ0KW_KxDk5JoGmTn!UEuBJA9rxz7 zo$q-7sCV`w^22nG^yx2q{nj%+T0P;V8q=n}(^} zy56e-yVJL3w{!D$S{xUCtHQj?d9JZ+O|U!gN^9w{o7guT7=g!GN|kZrz*Ww}?E`xybz(O&XKwvMBsP!!F$)9+xi^CNTcKJ}gKM;F?Wui6CXlb)9Y3queqT-3yO(yYbnQ}G>RsCj6_4n~WxlO{ z?Q*_U&EE%Kp>(yXo03&s>pcw0q}G@|MjN?w6pOCY@n(C2*sbMGVN#j+y(?$t8vO^@ zpNh)_+aY#-N@}WZ2j*f?XEInT*2>jFQJhfgas7+8*jalA(18BS$X#;ERR?xt3C>UdTCf zd4H*Ful-rxF0*E?c|#^mDQ&M#`K#uRO0=Z4mrNVz57P1NKW@)_9b+( znE4J4@JYlzaMHj5YeUDZz>K%Wmyx%#;s~c7idpX5KF>D*NX3@F=w3>?b=|?`i(g(t z4v9}q%lSYcs%U06*ug-OdiI7pIYpm~Jvzzz_;^X%%`Im*WGTwLxxOYn-`IbHWB&j0 zFW6nS{s#r{v*_iQjFRu%>2bku3#>osEB=t6wMOz&OAGjB73@#Z&8y?RU15Vd5+zwq z3!r=zSp_Gy4f4f(6#v?L+mk3MB2kJ>8H{f{HXXR%Qi zV@NuXsgo2)+*1T!k~Ur^O1_riMlI`O}5QcO#i?iblrxJ(9-(V+p^K&F*5$`^c` zX63mXGYW2rgY1nMx6$#v6~!tURc;Wje1lO7A-)_ z49euPbL=hTViOgry#J~{$U6=^&%rDrDB0jw+jrrT6kTf4{lMXL_{JGKAO01;wmChA zLuJd@(ZcIlB}<>>w)RaNdhL1Z$xFM{VnLqB{B*uky^bP0B=}%grn5uVsP)r{`@t?( z0Gwct)dM1($uilmN6*!DP(m)mI8mFTL=4b5SYvyAeg^oI`n_A)z7Ts`J97SCGKIU3 zLZ@NUxHoRW4zI0%sXjq+g|OXY$z25{ws_ui_{_K5g{^lpU7>uV*7SCpDPNyArW>Wl z=cO3(NGTppK_Pms0KVB}*uuVPq+|K}?QhqB>AGi-v+M1YST^SJ!@&JL!nTHV-J#HGxcT=jrHB4%n6rXXvoHvtTixf7#_C->su13FaTGRqHCB zhljwP9-5h~(0!r1bqya&xld2g?W1ifwYMGSknPQ~+tNMeHXRM`{T^wvGd)0LWOn4`Euu_)`B__V?!X=W zi8E)?I&47uYg&Z*t!A@_ZO;oG7)~O^BYc_0$#fng*9&*IjF(l}-eQQS>~GJe%ifjk z`axf-<)1=QiEx)u7scFhdOZGw0Ngx^O|+$VFL5<7H-lY_>ss|wMgEWIqJRHC|Mg%0 z^MA|z@BjM0{?i}l9ob6$)n0Db^)olx6wAhSUivLJ%^n+nbC`o9PGQt`cUkqK=MgCa z)ue@(XK`o}WP(l547<};gNv6K8j zhHSmQJ&e0sa!ED|mrbp1W;G+9u&&EQ~h0n`U%u%OO5JMzdFrrzPm{wCWVa3QbiH% ze0{?ePMoD17dTg${8Byv7*nD_S?VcObG2 zEM3fCjVn}xUtPe)93f){z(NdjU)?$txqKoHpOuzMxtDm|Kj1HD99lkl5d1x=uS;?H zAmpsp`xN%>!_soQk6(X5)>{5X(lWGs-f@OtWL1@_xAZ<;Lc0l`g-2w0=5Jp1H9IuB zj8~+m!Xg+WG#YKPAuqN8Cix2=WzKKCs=TIWZdit|MMs+cIk|^n3iL8O?Bqw;>fbAa ziJ)?st#OdY53TV0F6_T!u&26n5(sGcGWd}Zwze-(3oA$dZK{`^O9JV~$Kxdd3X%&i zE0wEEpZ-un5n=?%M$0tPUK%~jjAoBQwVne&{ZU1!y+$xCq(SgP#8T#y7f1Z!?nFL{ z?*VyK8WsrDGN@^;`}duxcU7e{rOo)&?TIg6pwm4r8+N;yd-z2tl0-Wh2;n#xx7uFz zBcJ_PutwD^C=ZAeZ(HJgFwAh9L@(rb5~XWTLA(GTlk{>Amew za1#*}Qbd*r#R_!xr&0}#?0RaExN4Ix3|Oa7XyG5QxmZ5z@kHVM`&{@=XRV6l34E*E z86MYct?foXD@+Y&A@nkElsyj7*Q6bNs|$d2+!dUgp7l2}I)}y>-`D7LZ;nu+U>nWDuGB7Gh4(!r)OoiLwL7X&C_2~5 zd1AJQC7?ebG>6vT@8dce4JM8_ZrJ;w53EI?Q z<5lHZJ)Yk45|LL~CI9E*xz5O+WndAEGoVPFKk{nBS$%HIu-pGmMs_Y9uQCxxs*8ae z5t`%leLW@2k=LIsv0+eU`Z+!M4w-^cd-j60ZI7^5QT>@TgMnrA}eR%61K! z`c`yOoa+X^P@KI!kBXn~XQdd}$0*cVTQ`Mj6-K|+x}K3#QyQzU252?1s_Em-mE-xL_HN5%Jl+Q(|#hirv#90rl zm4$4NNq?2jT*zr#Z*nnciu25Z>NjsfllUy|%$`SQ%I!M_%`u{Rw10JPzx&#CowRp9-I572iEF_rLkJ-4+OMb?&7<6HID5@PBs(XWTF3=@&9g`>m)BKkc+( z9;e+x_mDP5?@8ellaS55TlJ!84v$p#{9#AV$jiiqbbLQfb6nS_ipqf{O7av*6P+^Cb@qME4VTKI|JD=d-!d;;r+X$7IQtu~;GJUkHP z-Gi~46;sob2sx;-F@ss(95P^;*)w5n^yt}hZxU)XWkI*rzI9hbKfnd7R)*7b{`WQ7 z8}ZAJS9q9HtNor-kPyt}y3bLstSwhwT)%x<4-c zN7gN@y~mTj!=4tf8!tp3mfs=&>k~Yv1LxvxPdZ-Hn9K@MqyPPoSU5(zLlXAh%s6$& zhwlQ$)@qRZvAs<5jJz2e0L*_Ap?F1<=3c!#7{~If;;h;H?p@_xiI~^{hnAF)Q9#Dd zy;6C%DX6r4>N72t89?O(d0O}3Yrd743wqy8854d;fqKuNw_0lR({S=6iDFWm1pVDU z2f-Den#|^Dg~y1_URsESlX?6zk9qKuOp0xJQx;xgdilN9v+hu2tK&^(Wk1V>+=i+% z^G#8^#+8@5O;Cv~p2tiLJwQx$o-a&-1KaMxNa8)JjB~g0LpaN$2v8=%@Mf z7Hw$(`%B@;wfv(}>0=hT7aIwq34ddw6^6s`EA2q_8c~n)KwTE5i;sVL;T2M;Yg29a z6vKB|Dt~g4ye+oQzmD4>A7Y4UxOeXZ>ZorNHb|4?+l|>ltiZsqtK)B1LvC}%@70w$ z`H9j>A)Y9zAUP!nf0<6%L%5<chi>ze~a6@JGbAG3e>ST>11Vl2q z{`au*nu1=L8m)elTMBr|fn>)z!3Z0&>C6FBvuZbvE5*klc)ZHur#v2YThmB`y3q%6 zA@U$v{CdrYxPC)g$ruq?L3Xfv!sCBhD|;hoWp9rMr{HPjI*{%ft(!=#_yhEWyr~B7 z4dKwKw#}sTYJ>auhed<9c8C0RMFx*!Tj*sjQ)oL>J(fl_pA7-SZrS8%I9$biZLQur zPfKBq!DBSmr(!#Fp4o=gxtxSsa0=^xFlm$IY#GRAtiopo1!-XO#(S`%+MkwL)}89= z=sP@{uRwC-G7n6s(tgYP`S$05X^lP{`cxVF>D|_Pt<|dtY`+4M*|!@je*}yD8l5lS zf8689-(oTAs7CAfv>$GjyM9~xiMR$cey1yV3O`_!Oj|qpxye7+JpR19FJQh@QtY{? zZ(DxQVf62Fv#!TYJ{aGgtd9VYFNd*UBlutc{rW#4OI-gSv&3w8Rc4L+i>cA7y5jMr zo_o>D$*V(_TB~)a}O?|uxGB>hXPhw=)q(YfPmzq9J&8^n$)Iv-RG${p$e!&t@Tj8xv^Blp&|25xljSY~I#KRmI!FPCnw z*AS2o-O1EMF8DD%4_ue;myoK$k&DgYtSP7BZ(l4QT8;aL?C-$!v2>O53;IZ)p4y_2 z*!>U~6LN9pX4lH21i|t)kuK%#``Vs_)E}LHjQWV#zO}RLrjCv?uhnq$Ww?!4b|Gwh zDl;$U1Cy+2DD&kSKg@@0mG59}{H&8lsd#)|&M+OKzdcvVqR1)L@|*;-3Hn0y^P6{X zzuJx=zv1Wm9xO$XI>}b9yt!vHqqGcsIqolos|y7zx}ewsYe05^4EmpY3;S#bl`&V} zt}b}u=3H#Ddu4jodNJsWJ2^a#@XaKEDOA`(G@!Y;J2rl;{j%{KZQ15{6MHE7PHO`;@gqqb_P685Uc`SEUg5L_ zLkz>S_?s`C2EXs^-WgDd>gLsFD)}P1EB`9v3j3GwI#kgt-%JT+AV=&mt#q|n5M;T@|Oby@dgNN z`H>K;TG_7u9xr8mZ0wa6rtP8JHAT8NW8_SnSI4UT^_#;ly4=7W&Dg@KEP&XQ+xx|V zziL*e1i9tsI=N`HvPLq;Hl1bzUU_oRdKLSoiLU5tA8k(cnx3Ar$YPkR=8*3G#r1mD zx3bNz@n}pnc$B>MdCBPDZ;)|9Qn=OZk8%ul!SLF!{MUxxZoz+*hgX#AeVVi%04Mwc9^)lwg88nTCI@E`W z@K$=o9MP|j`Toqc+9&uA2QN+T!^;#s=rwXK+Xv_EF7IXUn)v#-{@bGauG>0{FDTKO z_1|>dKTqSSo-CS{LbUr7(Bm@AYHMzn3cG9^o%8fyLmwA^us!!z`yE7U>z(+tO5cZ- zzm5euOS1j;3HjZQxg?W$o{RG7MmJ*_u+iGM4f%+##pI1r_Nr9Em# zK_Qri5)8!}?sNOBl%kOXl@;TArQKOkAHEt3$(fbBZYSHXHv6Y*C@S@PqnvA&KCN~6 zHJ;C=&j^4JHZ2Nx&KzAR_4?^XJ1RbWe1gw9&&2OzGg??2%*g+n&%k5qK)7<&ijW*q z$2BkSP8cXXjrH=1JypdF6j6^N6L3J=Sqvh!JMy*4<|wzOa2oD*PIo80EUHp2J|d23 zEgJ2xs~v70pyJt?@!KKz@i9d zj#sF{bUM%Xc;S}36)NMlx|CH@sM^S54aoY-AE zSQrW)b9if6n`OG5JxfKhTmLb$)I3z9U#lUYic#r2@oZQ~M<@O8E-ZEi>OFh&SGYy! z%k??x+rkj@<#(+4`BBR%t?_dy1@I|iUhh_xZRW^AW6X{0*kM+${6PK7aIITkh^?{s zLaN5{m^rqU*Ks9ZMwBluPI;@C+df{e`m;kxS$108$nHFpiWLrVF!bpasZQHvXPUwk z#3anRTW*qGv))QD#_S@>y3DF#R4KWtod# zsorUJ)+3a{4_~fJm;hoVclJa%e*iBx9Q=P=oy!iYY}lUjwLO6jnskbQA_9UtKt*r| zD()2pQB)8WK}FQ2Ge zzOU=Nb&KdZB@Hj9U^Yi8?Roy87Aq?PQTKEW)oa6n!*0*ll;JK3ds1i=nC*p=^c{JQF7rp1?Op2m^8%$iV|0Ata$hQE9Q zdAkItAg5oyQuPb+jp`)%;4_sgkiUlKuab4P_n91eT%O*tftJ}HWkKM->U@5OHKNZ7 zwavhClcj?{wb>3CAH@RAj(30*$}?|bDeBEsCEfSeDq3-)Q6(c9V-?xgn)Tc6-0Go- z<9%KoZwR-1|D6F5xbi7xUfH&Dl~v)l?e#a)&NIl{V|*&LX1SFY$?_b(L>5ysiV5`?J#mJ?@j1{`9Qa>zQ4_%t+}Es&Gg*b zyie?$eu~sHJao6xp=@^(PZcuR*NZuzzcj>e1Nl^%PVF9HJcjf=qIvIj^iFR+%7)|I z?Aza(*ZXRQ!)~Ouu8wov%CcOP+9$37#LGYqBAsxwSE)X63`4M}VXBa%cU>~+a$*LV zWY6h29}hRLBDrkP1~$O%P7cDllaa|}GvuqdO3f(Te4akdTDdwxVfC?ttv$Re)8w}@ z9*mB7QIBOq{@Xi?@-IP1%?aiIAK~DM(ZDm(O@(LNy$DdwH_??_wn3GR=b3}J^Wy9x zfK>vZl9Az#{%#I8B^{A>ow34;!lT=zy6E1V1?Y?PXijHHr=*I&!1z4Iz8%CS$FlT=42^}-e(2tic_+x2DRwCela2at%mQpl_d z_W+aiJtW=Qt=P+!DE4u75IA@>P_`qkDy=TEtt;C_SXAQ6VNlGw#?us{A~GtKN4r*w+v(S+Hhc50+8AQ>V;XpSsl?j#MYdp9JNrrDYI>HK zVorTvB)iHlLoL=1ZQSpKn~I|?_3ikLEcygNx|g^CK+ZT5 z#bM917*<*T(SE6hzu{ks>{*($>C1bo^L|*{K`RXL_FJOg>xps;{f>u0eLrE^;))#2 ztV#wBnl1fD-iLQLS)a{ztuhssusc1T8Ydv~`R{WMtY^T(-)NjkASaKo=qt@Ep7{f< zDMvL}KaH0><<9JO_ww_No6Pm;yR}${eEwX2U4ZLu9~9K3t|szZA37jUFu+}kMs4MKR+*zV?)X)&aJ+C zzPL*-FCzd^YTE5Nn?1CbRjv2PJZM-c^h@1y8P=LSNGJ9+1ox)xXR96DR)M~d%HESA z9i@jbUQH|w3qLtH>96a?ZDSX7a7}OM!7VsvwvD0vURh;tG#=<SE};_O(QU)_XU4S+L_Cx(w1-`? zL(mk5$g4c|$8GjUnN}(--Own^gLj6zl=a?eH;#Phl9!6(LUo_ePvbfEpuvY(NJqFmP@h>q`m=_Ix_$xZYP4H zJ;fJI5kb5vsA3`bRT}a7s5(T)CAyVnO1n7{S!uYVYNZ?<=8a9w>RcK_YShn-wzl!& zFeC5X%AHyvLo&y3^}1-CZN7xut(~NmTV+4&e@m|&7-F(A;=Ppxwr?5J+@g2K`SX_2 zS&;15C|;`J(kkRJ_xFjWutGxJ1YcKWvf8{AjYqv6Yr!Gvh)XPk&Ji_#@XncOwKBpt zH4nz9h$kp7PuYZ321%#B*7=n$rky*fGRlgCh>!5SHEd!Ka<}&|$vMuCX*VkL*BhXR2{ebYA?^+DlvZ zeW+9`?5w0>QEQY`dauThyIoUr=#6Yk7@QF<&0v{zlLb_*VEs1zI6__qvUYC!`gC{) zC?&9|&oeEy=8Dgp<4D5msP-gkdzp@fvlNwSb{Htyo1H+;x!)9tj+DOihzU$HxpTFx ziYWs$(Rz>TmU62_q)`OSOq3!~60T#O@W)J#*`tN9NE)lL$P_ue=G4!xVHF+u8)!64Dgef98<3S}E)@hs>5x6-vU5K8R3t{l>l`E~K0`-dV4lfKU z!{qk~Tpkq_7rBW_r5>(ycwQ6ur&gC;DeX#pnz{^QR_(*6U#tH45C1|8%>VUYV?qA^ zMGU|J&F=4EjD9=m{pJirz8IPVaBHC_9Rx2x7}-@H0OKbrEZWOeJbei-?z7Ha!c zJ4DWzmcsYsYfF;N>PLPQ0q=V=HjBaiHfBbnGuKYsTA3Te%s_ zN-o(J+8I$Ad5=ga5JW8&NbegUT1=x7!ymNyvVIE(vlwd6r@^h?;360O?Viine2;In zF3A2;pVu(0wTHX?`!Vy%{v9VTcxJZ_ul@vbE*rV^Qnk7=F`e8ApHpjxs&w;B0Nme~ z1~FOIO_{osBmJEUM4@$yg-p#KBA{^6UAI;-i;G~nHZ!ullk1gB_q@jh5fBr2?C^fp zZSqLd+zN^R)^gQX^rn-6d?R1WLuZwo&o-tTLKS#7DUq? z$&Gw2J#f42XTDk;-^j{cFsfsq49{2koYC@XQqD;Mj{`_+*DT&q>x)va!%s3`ASJ!!m?e zk+lU^DF)K38?GWl26%^nZcAuZ5_rCxCeJePgO^_>K98Dy{&|W%Bxq9Z%x?s#(23_V z`lqeFh>J-MH|wLV3I~r2bMGGBf5_|Qq4M{JuY2e^}rF_NegrNEo4A*2_N-0cI%rBhC15iN) z8~1xOLV4Rky;4gM*JOuun-O+QO@nDRt8^~{%o;AWX(}0j6kdr&l(H0+!$bH^>)jN} zM{>8Ft{(#9mK{{M&HdIYA8@&{8QLG_dRzg-=4$J&Z3&DVTWUtS*JeG~kFvityJf0F z_1qOVO#P5EntcORXO~0+Jz4eE7?01SZb85=X>av)b+ajuHpYJSOSbmeK6?PZZZ~iN zjURpR8qUJZz@x_dK(@Y_-K032)r5OsijUG`b!q#})BgS`CVhuIG#ZW1+;5ifUnnf9 z_0KELSfPU45i=8|V>;3WjgSgPJ@(ey8I3E&(JnoE%pc{XDbG&c=FmXAo%(zZnv>&Mu1)P6zMYkE(JPmA=jDWkDO+0JAP>xT2<3QX_8X+6 zNX1%@I8>J1-o2=2Gu_u~3@Y-zHe{@7k*cDA^_r;r%eT`yw6>M;zOKpRMJ6ViZWf<) zX2XXR39B;IPCH0IwWtNRsi50{oSxV$(LIwVDQK78T}C5K)BsPxw?TH-qtkApIQZ{| z5O|GV-ZIanT^9H^o??{3X;d-R^-g`2URj-hfYt`z1@4iD&8GYLklJH~^1WFbH6?9X zsAUU`K4HW`w!Q@G+hhN#lLWwtsS-0x0I&s66zH0&C+!YLW7s34ThJ1an7F1l5V!K1 zzWA&2HJd}L)`H{vQE3^e(qmUBeJ7VrYBJBm^%CF2yK{cJRG8aoY@1Ym-1cw7eGgqe z9g9-dAx&-0#f~YA0cbTfjB-mXMBXwbrRt>okjg8T`3%KvZ3C{fS=XNU+fNd?&`YsX z5U;>aTDP-{Yhh<;ZkOBUmKKL@b2xpWtCO@lrOpOxz@M61RW9ugcjI#DKUa<+dZ?Ql znR2dX-Mr|5ou6&ESfTi-0k}sD?Gw;}xOK`vKo=&>c2Fz4X*6NkmpVbwSn3Qt8F0aZ7wG+HHd}gEF3_}}Fqo{RuD`KAVuue4MonfouziZRwD1WbqqjF0TGTUG7qzp#TOG* z{@3s8m*CZ-rdE)j?ka3Is>><9elI5ZSur4GLWH2uVp%x?y1od9iox-u4w`Mj>^g#G z-JdLAui&sb_i?432QyqTgLY!h7a8zH*dp`KT}+~ej&9+J~hH~ zGvjw~M@j2uzq_Wtzb(l(e$7BkJ^M7fme9#;z%?EoB*oi&7Sa6auikLq$%;Mel!w{2 zRjK#Kcl6mrH}7><$H?^(s{E4-L3EgaEE=`wwl~+pn&k*H%ZcZkA{RXTaPCKg2idop zfie2sVfj_e<<8IV9L}p>2Cme#rn-N&zmL{xckCQ*N+o@?mP0RTmR;c3Kg1L~3W>m+ zw;05`_T`0zkmr3yksX6_v=S{y9frzV%xizl1lJUZN9kyPJS=3o(C`Y2T03jrg+@7c zAt#;*T->Rt(|b{*+R&+3HN*5I(8Z?#Cid^P5aIPDlNXl{nT`m-v zfmhLlSHXv62_1AsZH+0Mh0%S&nd zJwsC_PEA6}q7}w5@nw9hQ2vFeyiQ`rxOcNGu7uSsh?VWg>&<>zzv(8HQ)`9wa5#|g zq&GhFw)V5(Z6iiCdO&||^{KUhroZ>!`_lysab|p}A@|MW zn&1F)b`lh;m$#2cZeZ6d*Lq6pYvn>9^rPIu)lWR^sHDnFURT|TQGUv^H%-vZk1f4H zBzi2-8-sSK*~-YTVP8Rh>Adci`}v}O*?Aq{1GRL(ib7PmWG`&{S9X&FVGfR7vJUR} z7$WiWK?;b~O0Am%cxTfB#Zwjwhqrr<&p&l@I=ci;HH$lkgI#g;%W8Ow-}A}gTKg_< zu-i?p;|o1%`!adiRobb$Abot&Hi-IbTe(5W^eUrTFDpi*v1i)O{f8bqgqn()0EArZ->NNyf@ZZD)3WS3-F@%fbx31}R%QM?N4+Fr-2GCxQ%7tr$&rZFLDi zz8vpzx{!4qb!70VnsWAwNh@uXtNZ-EMU_*?+Q?Ir&$BWfcJW-}bYw3qLVcTj-YK8q z!Btmq5ufVd>La-PJ9d0^TWpW*WLc;d9po&}YD8sQR`}+JeFt{+%3YP;X@4!YGUW;N z@xk}!C0CWHC8;{w208X|mue4(Ie8b?-(P=_b6PT}cE3$W%4S{>I*28+QS3RPjhfv` zMculJN=`c6$IQIynLtkCG<{Ign)Jkh-}_o(%)VFIbZa-n7#$(qp-QjCFNDKxp-$xo zTB?h8nS4-uT~okG11)1-N`r%2$sx;?eveaAX4mhM&uq~^`Z_fF3*>5de9m?)+WtA2T+8PW(#&WnzWwO$xE>P6U@h_EmrnYtzUYSJkx@> zGn)CO2?eLsZaux1LB$r?{2fk#fOJ{0@Fpx@PF!C+7 z<84W6+O5ca45>V3G|ZlprOn0Lcm-sAKh2*Wak7vs808w~s5`oUh&_-AHl3eJ)oYCj zT5b2cg=A*Dm~nnqFJ6zqT@k#gR=(~!*Rzdf4v9J_Grfk}$Mlr(o^9^ag6$%s8n&A{ z%RzOJzJ{V-CwLNF)9<6U!Fk7iY%@F&$Kmj~$7TjyAk(4Rl>yb-%okqi%RI1uJHIV- zySMLss6DX~+~D+Q3F9eL_3$2KfDX2SD2F3UfArQ&aY_sPcm+q6`#q6w{aQMVbhZzD z)AO7ff?@a48j8uTXkYcQn>PexALTe zj+1u0Q<%#@nF=s{c4n9YpdqZ~j=#Xf6U@rB{S@hJ-SqI{+$`?U-MW)%NnQO0yUKbM zn4^pRbymDanQW@siYvTSDRl4Uc+wWEt8bMbBH&bCodE?n%)28Jl?ImTUw8S*{x|5* z#U>)KVnaILmckxuZ05R3f^7QnL`S2En8k-^4MNSYBay}W8Gaz0vLmP3NUu|q+5pRM ztZV#o&gWBRpxV<^_Ga5)5bKxHy;*mya6^+b<9>Zb>uC=3bQ4I1O(hR!@3Ea;28&+*Nw{*-JHLC`dP)g$?YX zXhE<%Q9Bpmxw&CV_lKFK5qKdr?V6XGAD!n*o`-wrJY@pNKiO}>5K53RZ%4H|`MNKD zohAeP+LwM|(^+8s%-DXdw^$c;__5+n2TZ>N#?nV*So?UC8S5Qp*~fYs<`avIq`sZ4 zb6i||c>vaj3yhkI7c0B8JKdAmAXZu_Ccy$s#i-NcqY>vfk#TRG^Fm+7Du~HiYyqf3 z^NWet*)vt~&i&FIZKT{XQ}!-|Orqg!&@DBJ-6#b(hS3x7F_%t;QRFulTfr&jjSjqC z#q|rdR-=^a-r^bKD;rhF`RwJhSLkwn21S>!oi}l3?15V%`>GAyS7WwZVfwRyJx^oU zs$`4)0&f)U0;ml4RG>@Q4)bGNaY!%|G)BQJny1`Br-5HLN&`{HgSC3}u8#A%LVAufEus zzc(N>Lt%Q}v%r^qT-VBg;5t{ub?Oi_9CBOK87i;RmHbSH`HZuwsw^*+g2wB~HEB4I zSJ_2>T*yc4Xg5kP?)3w{anIM9Fc?ok1vuo!{(7A%F{O@~3TZS}1ppbW_S5Tn{aR;l zMHOU_U6}J1Otoy*mpS7!j8cbuz&g*CT0)%W`@kFdMMV~6YjX6LB-i8WV>plt`^*?( z;Vw3^^B=s}eJNwPwGJBJXS+S9f&Y2E%h&Dparda30K%R`6hM(JonH^G!*1k7-_BA- zy2$W%6qenj&GwjR(V3p(RlQ0+rfFV3O)F#C(spK7JA6Mqpupmi~z|nq*(v7 zz>gB#f0VX&)p07WA0G`%?4^Bj^_X0?W4yk3+}}0S>jhd%dBcWnz_ac zUKwR^pUp0Y>sxBjHzbp$rv^pJ`_h+@A*Z` zJBPj3pd6%?&ENz(VMrC!?#BVa;sL1gl8?*g>%<{q(2T^{F#oFgxy8k~{(|t0e;!O+nJeW%<2&m=o8k5K3Yo4` z^>6rYoW=)9N#8XepudF%pHj$cj-DODo3KjcJxfVAC8Z4>Z}D#U`&Rp@9#)XvIWTJK zm5S|aP;=U8ZBJ&>d&uk!+pBE*Jnnbb;oAMU$KnL5Y!|E1c>EoZ#%$AuS}>W(%&Y@Y zw6}%Z>#`vXEdqBDG3n#ll@Aa;iyemg2kkSwIXOetq5qMl#c{sVIfL!{&wuqF|KNY9 zdf4E_2XMm3mW{Q+>*16e{>YLq)zW@fTD^OU%q)Dh0j2Hi$sa%3`K{eJOgBldhYc<3 zaO#8*G<=`(r*+dgAxKxYcDL;vtOe-?Wv82|Ngf)V-$NthgjC!O@Q$014u;qsJx?V& zpMQY6wil&^dhKIVdz>Xd?i0rt)N^lMmdXUjm0D2!{hQnQ-0TdC`YIq+kEugxK71=d zrdt{=vhMvPhAxoR%hKqRhb!62UWBai=fC|=e=xAiIHa~P_X+jw%FklY*=|WTWIrDX zPbTGt&0)c-SeiE)n6IcQVCvz@cEx%Dx)bPr<2f4e`KqTYQ?x@oOS<}>%-{U+FaExG zzyJAP|K<-2LL<-f{Ng_j;Qjshjg4DQZnD!x=hjOI|MUTKIxJ6aBXl0V zGRNl8Lk`A4Z>}HJ(#4RL&L;n{3(Oke>gPtQx;axlbwC((HsPNAaGZHH8hAUYA{*#^ zd@`=yI8|5+zx{dn&wr%bQ@Ldh~X16jUL!Q|Kky^#e z#|1f08spyl{%&!chp6{-IhC#)mtZ0E^HaZf`0e2~JBE4TK9@4@{BTjGGmS;Qo0b$} zX7Nv|Z$Q;xu-&rp-p<}2Zk$40Y!BIJ%6iNXFc)iFIp{OIDr+gA2%QD`r|3ku7dMRa6W}~vB{nSr&C>b zR~N0#+apodSAF!}ZiVSw`;+5JWIO+U!nVrWV5nOg;*S+jKZc~@*P3&#cWuhRf6&j5 z;G0?-v`KRGr2{G0#s$N%_^C*nxqALX{?1R;2Nm}!D9eHBbg z_s()-AK^%u_L9fAeM*E2uZPTK6RTjlD-jd|AK&Q7s^zqU?w|McC_5dW^Rr5)+1b_j zy9QHXtaR@|b!gR*%4K{$_C_OtZ}bge70S+M2&Pl$5n8MBWJ?vOgMzcO`kwD@x)oYw z0`4#m3l+j|DK_QGxoWl5f>1jVEz+dIrR3|PK9iuQYIC;@4ZN3K4v(#abXdQhA=|8V zO(+vZ4LZk@lOdL|-C~%#woB4=K1W{J{=$Y&V_y^jDNx*wriQb>=MW{D!2t2Ar?D%M0tGGvZu#Gnj@3ze*R?}Jcn2fG=4Ux!B}-}iyfSA z84hZ9y1RVYnHChbql zz{F!m8S|1<inL!S$E9>wwl(=C;}g+WyTKynYE}>=a$)u zQd_^>*LLf&S!Y_kCdAk>^;WW=gQGf`in7aQwlCNdOdbO9kETm@SD;swlQ_%Xy&R~e z*wpY(_P_q|PkyQLp!8u&V^nHBAPxl*`K~Q8y}?%zJ0aOv@-Qu|C@w7?UcIvu6}xZ-!7UeXz$suo?oECXLk`g&+l_O6mC@5L z`ECt8PW6P(y;n~2Q*3{hq8*9XK}Sd!hn>=fl**%XUxW_0G{^zJEAF7aUGVaTK}DU3 z9ByhR1Ut!fD>dhTA!*8SajOb^ZjjY8D)%>>Ld1Oq@)!jo=RAC7P@gt?CqF4E|Emznkj!1%U95857IHukrj4(6JmSPx8~<~ zGj8c_&Da)9sI;`OU)_@>GMp~y%t+ivjbv6F^56#RMx>ln2EB#IWVzv>?u8hDUcB}0 z+`#Un_@q`mWCuWpbV<0Qv)9Jun>KK@F8ZArlBPZ%iD1^7yRvdewAm~O9SmJx_NonwNeLVF&| zxTwvCTOe;|ojh`aOIng{TYQq?tzP@N8*W6d7~j{{IOpY%sc3ETyPy$}w?2Bc#(QY*pB#Dz}HvhLL?tk{*{`fyX z?*9uM?8FFA2$|G(6+01}zFxCsG%Xa(VY`%(2hQU0(Q$uqgrvC#XvkDYfyqhvIG$Wz za0V2M`5~-RyJIO^le;$_Fhxny7~EbIWDWE03Tj#wtgb%ln=zZp9uZ1EpBOr6xp_|k za9vlzof#I4a${-KXiINo>9a97pMo?T8pdJzSm{ZCyG2U~JA&#*J?~B*m5q;o9WC~s z^h=Uy{+-HH`rB=>CH413f!OV52_!lxeqRs!hMxxMLA_8eK0d&V*yvI1*Bf?s8pfyF zpQ*FSW(l3Vp;&=hq141z>*kkaY-f97uC;oaux=XIFX*tjVh+W9WeU z>h^8Q*NFUUtx4wQXS@++LOZ#b!(hFVxlWng5LMYShv?!_`sDFuR9Um|P0=K3Y|E;;0@lSu3+Qctc%aGIM=6 z)ny784!e6qY$QSCTimTY9sAD9aT}mM`S5s5*0jS?$)%O41<0lK2E{)L5lBxrYR_SzyX-*sQMDu(mIRxQZ6A~}600KvWw%y$DG`|grQl`)rX z5@Nj0V$~-#Xb)l;V?Aqzj_263sOksn%%|(;=68T2oxz6e*^7vLZy(d`@>fgW$9a&w zkC}^yz8bH~aU)mFs`@s>kyXZt?sWv=G~vSJ%%s-0&Kocs=D^tQMEwY%`EzTLe3nED znlKxV#5P!V&lTH5UGB&Xw>giG=^5y5q}R2%4$tyHt`1pJx$euzpws)*8oeJUO>U;% zovEK{9p2M&l<%sHoMJmUQ1Vn~Jv5U%@bqgOse(ouJsX4hUCGuI$5@}GQ z&Ty?~V%-B%IC4-UU>XbYzWpeR$7}?vmXZ|jsVsJ7^U%SgwPOlDX;*r)%UrczAI4bU zOrsgYq?WC`tBQu8(y^Cxwm_*e8`}z@7M?WI)7G@PeH2D5D&w9hGIc4kw*gnN*xI@- zo@@3(I;IJjI^d#y>U;-K&lF!op|Ys(ei+`ogR%E}XOxY$;FSgdH35pab3uvt{(M>Dd-Mc)z>NaBq=rI%m4fU z-A@OnoH|&3v9A8ib<_`Z-U;psfvw9n#^2}01YD}m4qa>R?a4LYss&oP9hKJH-U{lt zHEv}(wR&>kAItnU6*=uDqGZ+}3S}N(e@f@rK^HCgOs4jxO;ld=dzV?SajZ7?`n~r3 zRo7L*9vroPCcI)iKhIy+)S*;6Fy;Id_laz6c%2d3OBkt2FE~Qj$SB;1UA#5XF`AJ# zY^lm3%R{R>&sIe0Jp?86l41n=QcDkw=E8m;pm}Z*!o)lmZ#&jR`NlMAYP}H_X~XH7 z|9y)Vdw6e1R6T1s8hFlupVXF9m200nU<*dMNm8D}>e^*@EMm0|Z`^&>vUs`^?&(xo zIea$!v`|fik=of^VS7|*;zx{34=Tv=d33Q8If0$R+F`q?suR1^f*{V6yy=#(zCAS> z^Plr2mf1Sp$tVFg>eRUg89ROp%83*&ugb1ktacbFcOGqEvdydF(n|tW z7_@%nX?iKN^or1oo!L@N1v!5_S+phjWCUipnd!L;>!TN)a5E-$hGGuhom@wBIskYV zi`>Zuzz+kdvVUWffv*R_i(bp=oB`QFulV0XK5KG8(COa!}4iY?>vo1BY@s6@=1Tv zsHt8)JaS;zUJGf%*G6>`_b=aVjp+G?aVX@A-j(lU*9SEHfLh=LnZg}WH#S1oxpUYm z2=CyMbACX@kgTawx7x{a3%1m0wq{xPWYHqeJP0L8euiJ&xghFfmqc zMc7M%yiGr_KI&yai=DIk{+siSqwWRw5jneU;7KiOm}|eR?RnH)_v)!`sZ|ZS-eTH4 z%wjA%tP}c&P_t3CTa{%12}^)opHKKp`3MX&za;H1`<6>P)~r)nGIV){;(Z`f4%Vd- zU{>~Qvz@K~2Fk5r8wS1I*{T~`E6C#yIEAKJz!T_d{}{zd~-#xE|G@ z%Ia74%~35F6;o!dR#HP@J??coWE7?c&s(*A%r$qdi+LVy4&Tj8JeGJ|)2=CY?X8me z5JDkRNApgDLj0?Bsit!17KpJE9{Lq>_sj*jfx`P zt}W3_4PoG=&^rz{i-QH@%prC>m^1pQiHnbKOePn6r|?`Izg2UEXk5B&O= z=W1iFi=T4=#oSB3G_e9lE)>(-r&?u5j-aV;e#Lo=V>I$t^AA%;O=n$ikY=$emg4W4 zZan3peCiDB;0U;N?p;ydQ=tHet?-k2XtTFxE-t070)ExBAQ+FRN0MFdv92N~K$;DZ zffc=<`)0R^lH2y?_nVCi&rJwn~lni0nL+XG`g?pM&PWFF^}cF_O?EE$sROh~H zkGUW#b13Y^`Z}E41QM+d2eXK767m{w}vmy>A72yC&xmihI zu1!MKfq01#LRKgTod8+;kI4>~*?2n7_H*LRA)l<067ECjy#SYaz})uH6YidN~xwOX$%Fcw$}_$!;b znuSY62@WkzEW)>KD4Kq4XahUoH{+B zHU%1AwV{iECu|7(WhqSf0<U#r8Scm@`P@E2{YFsRdvN#LU2WoAhYyxKPlAm5t&zq6gY#1hrWYVi zZ?+)gpywy-QKex%dk5kZN0OOqgJ<{dW&jM)uX}^qh^V?8)no26aB_|}DF{I~&cyk! zq75>9YV=QDC7Me&HX}>lbgR!9aW?_0!4BAnbLVD$j?EBr@2u}`i8LH^yftRRK z9(-4MXu1E|zO=fW^;oJuNOHdwx3lLcjtyX&*rMg$+^9tF&0@PF?y(c6kIB<_0F4gekHyrSR)XJBhpQfc%zm%*(2@B{f<_h|cE)=Qno>^^^Z4$i ztHTsF#-5MCWSg0OH?OJRIAfvBwA^8%_$qJ5xp(zNjVNZn9-ZgtWH1?a`z?ttV()ic zI(!%J3x#C7__t?Ce$%7XQ4xU?`}S2<$;L##hbEjc!j>v)5?Sh@IWhsEPf8tt9A~j} z^3{w2lja=M6K+zmgw>`{SP{H}k5$9{q981*O^rR0nJiLnHaq4GWcSj1r{1V75qT9&`c;!^TSAeD-H`HvBMGnPj>pN<%9lgzk zBWY1K)|fzu&4%=I6?d4V)a)nSbc7b)%j7xMsWGU&Y7s(Q546deTR^+f(E3NBS?t(Q<+9YSEgi~bh+freR{57rdudK#(wJ3_&vnNlF0{R zJ>Qt9iEm;|oC#uA75dEngP1?5>+l<;T_}sJ``+?U)!IvuS* zQIfsPGwMzvxZQY?|CL$#tUa~roX>|;PF_u``*1fC&qJdX!PHt@OVdj3`c*9`?rAA! zyzey9GY9~efg0gt8zXcycdC^E?-h)RlyWW?=d8lF@0_M%D*<3k`{i#2B-03~!>3n1 zj_Qr|C7NQ*#=A8DGU2ZsO4Q_Gfl71Dnoa28W`#x1vH?$0gsa|A%*le?Pbt&G7*}(U zw;|T$*`v66uCNBbRh{zdv~#kfsse?x*a*bt{5V^;myMoObAbxifEZ+d`OPP+%eDB; z-g^`M(*+Vv!TXs_{mkdD>kX&J%_WjxMhF7Ep1L?xEm)3+b(;wzsWJM7Qh1KRx4Z!WV?AYOy@w^w#%DnvYV~LJ(kI( zOIy1X5zZnM?M_NM=63IGg=|&|KP)W@FRrrLjDu2{qOSIVw^wn&#>R8;PH7Ef=EI(L zMHH32@J1~HymGIMD6=5p+omQX~VdnMobsO~f-Vky- zVCb!VPwi)4$jz5@;gh*D#`2cm{~+kOiPAXtu0F>NZ_+{X{S^ET4A*WM6R6PXK6WJ< z&FW(nMhwetTn?hz3n=D(1KB0-9_o_Ruv36ENq00+ltODg^N6F5-a%*Zedf^qOP>$m znp>Y%vymHUp|-M`j}`(olb~l<*pGJo5g1Oo!8x0=Qi{4mUngbk&8~Q%bkbxQTSf|w z4A4ft%eSqd4PltWGRob86wrSj2V7{fjeX;eIpIvn^t(Aos-UP-@j3q#B0=gB65H#3 zeZfB7#n|twMeev9EyvUyS#~X!5`NK}G>tL-zL_m23t%l6s;gw*>_ID0A_{IHH4nTg z_G(WHl4maOEb+aS+xkRD5Nf0`v&XN5-Jo_09Q4{m?GEd?zVs|ZMzNL5sy6VsCoz9y zak^A32F&DcjMHO98qE*sVk=E9i^bo9LdpdWvscL7L4^J{! zZVrP$4>P*@+Hw79^C%tA_D0RJi~MwYdU(odcSvfCkE0}e?iG_uqh#yxWE(w0+Nf*=C?n_m;7N7**&Ev>JvOuS|QIePaVZkConU; z$@g7n`~*cTB6+3x9iD!I3pz|%5a@3uz#isCC^a{pyJj2 z@zPC>G0&W5$&2m(r9AG*X|o zBKY$*05AuJi7o0*7Q(qJ`BA0z{OKms;raHXBxeFe*>tBxWA96d zhNyRTlIaC7U(l%b7Ngv0G%4bTAb-!r*ik7r*|3}GZ~OiOee7ALm|e;__drRiVh(Q` zuf)u@`S~7y?r&HmCG~29?A(oTm?^zLtBz6eKVI1Du6HckvSJ=KIy$+U>0a(pkp3Oq zQNZ_5sFeTCS`1X*^~-2cj?*uIkgn<1kUHKWkUDaTzQt@UM_xBo9!@3OQm`>pF$ z&7_%1C#$hqsR9Muq9`Kn5m9i1s0f09iXaFg?yJ&!4`Nm7e@N-3mm^6lwJI6kY|WVy z_2^_kCU0r;*cjPah8d4gv^nKKo+-r9DyD-rXXt;tE+RlcfTgnU^n}t-)jC z6y$+trlPdv#b=>S?!=j)lZ~+Y9q&$U9lEm=H=%Db{gmbP{A05SllM_#wpNUXSgXAK z)R|6xK;=!!59>O^%v1Dc)xv1{S6U>eYI>`X&;65Qt_!Y62Sm@WMP_Dei}ViLfIr2H ziO#Gu8k6L&t8|bOetB;%phAk+M$@0=@y-2v{k6C2`Z2P*uU3C5HO&R*5d26e>@U!I zL*)Xn^V)_{c!%H&(JQYORt4V^1m(gIukRFOLN!TKfZR~FWoESq%LEd2T<@Ru@LSAh zEtVFGHtLS{i$2~?&#)C9mz$i44PVY(a!LnEcsmP-MJM@lu6oHG020b!cR#^CH-4RO zqWI2eaY4ciZwm?GrR&mZHHOfW_#3V-EFQ;1h8rJVD%YirBOQH`PxbYNWJB++HRk&R zl``Zf|1JO%G9Cc8jefVxjk7LI6}>~*a8a{1G`@vTXc6z$jh*Z=hx25`?S7J@Uvh#< z0++r|=D!9UxL&IYSihLCVvb2#|FiSSQic(ss|*uD6RBk^eFZu{_zuOIZCrx;$*C`+ z^0~L1)%>mI1f8E{6Pb_4bmO2Obqm7EQBuZzdNbSL&4D z2tA5Vs=?eb*X*D}km0EIEK7Tf zc}SPQ`3=~D6+v?UF*3DQg^=UCAnwIk(k>VH-fP;TN4pO;FCrA9&*ZIj{Y6@{Sv*qO%$v-6 z>G<7o&MwT9@6(cJtihrV*$apz!z-oBKW8hTPE(`F_k)erU9>h*>CeVwx3HnU+rrs> zO#J!grvUl5Hrf@D)pq%Ic4j|;>(a;kJ7muJfeTj;xS_O;Y13{h*o?6HUH{Z+xJD2L z_wYR*1q)$Q+=&TpE;HULiXYp!rc+3GY$70-&Cl}VHGe?Tq7baEzi_%MXDbRj&HM6L zyd6h_?Ra@w?_WQ$ymk@e(Q^kdtG6YI{^L!Xi5>?lS$rO!=Z;SbE6u8v&$Uwc>dWDf z*d=q{f{@A>UP>_<^feNhvS z25yj%Ek=wi19)5ooqcCN{Hnh4)8B{~|D`=rV9ik7>pNSM8hgVrlsLDVjQ5R_#GEZ) zIx(Am;;*9VIJ>UdqF)*aBlfh!x5O-?*xqvs1VZSB9j^uiIOmG2j0A<44C^yjUY*v% z=$d(#D$u#Zhqej>n%C|}aJ3mH3VE`^{i*QCE&_L785ZtiChPY@`lwZlY$#kVba-{uO`{Z+4A ze@Xn?BggAa*qh@Zd-{HA5+Nb-+AS_hwJDHpgkc9ER)zjs*lGRopQKx{hZcSw!X7E}s&wz&;Y~>V36)<} ze$4z)UA^o6>lHue-B$ah_0~UbIcvdi9H5*l-zF#By97b}t;-H>qcPfQ4twO4=S4N~ zI=x84>VW$~x|ibJ>78rRLj5h_SvhctT$w%Lf34_ouB-3ezV<4mt7;{9J(Zv*K3?en zZ+AYDQ2|Wt`RHyZaB%2Yik4nfn<|JKy(S$>gGex4%v^gHrdO_a{j$&p#Bjes%z77Q>?7p& z@D7jW@oL{6*nOv!CQ^PaIMF;~*nRVOf(+>z)ogigT+6TfaEnx`O;x%_FHH%( zX0ua2_-DIqQiu8c5cQeN9Hz-`4**R0!lc`t&+^5;(OZ5UbV#tNL!@)>U{8jMHt%F& zBw!Fa_vcMSdK(0bFgwdhZ3-xd`&4yRljur|E6ksw+ylfn|Bdecmw!$E?|+DEbnXA=7M7-= zyvM3|TTY7SOu^VF5zzI0K~?(FZs;`}q^C8AmKUM+xEtk`&NEFdW}eqOe0gGMvuQP*~yf+wDn#zzJB&X z>o%0c@^PuVoF92Y)9+3rE9hYQL;D=KhR(;dj4_Ana?wh7Yp2p(7XmwcwX~k?F8^q< z-9CPchuiHFer@tJe#gL!3Mf+X#_%t>E}hY|-d%dhXDL0=w*SX#-|xJE^v36%LL-ZA z$=rV8$#Z3P#8pA)LtJn@*lY{vk&UWe>FKr?DEJ?O|65Ci@%?(?Al>ffk zI~h&m*nZv*c7?anQuK8@1*6*N)v^Y;Zmc)K;0hff2SkydL8e^Y{XMzZ#NOPpZ=&rG za~B6!-{XJbZZ9(ysnrcv{!0wf{Ue_*I4e@ZD62%|lk}*fYzu zKFa_a{ZnbPUM(hPVGGD}6ctm&T2R+xXOiP*ZZos=Itq1T5^&Cfq1Nwh1^wGZSNBpW z+e^`Q1|es3^zIA*3Emz5Cfu6aR}(OC+l2EYR3;@>t-!2|Iqv|7l+{(&72E%5C|^D*s_|%$XN2GojzQEwMZ%zuwBx;Q9b`S=Jdrb1EZd&4o)`AgRk=h9JE7YZaK-DkuETo?6%k0!_Vr^#X3kWi*%;@c9<5 zH~AiiKAO`GdLF!+Kag{!8UEe_H|pHnw)41o+ZEC@U$Nwu1{FMFJEqt~^9P91GP!XZ z@9OEZ*brx@3rHUCU^>C)J;qv=6JUVmtIB-yP|X-JH#r7WnzF$&w#!_jU+!rcPnqRwj(9ORd^~*qj99Y72k$36BoDOlbJ1M(7nsZNJ-`>>0 zDBrsdZ%Vx951(sxJiHgA*WM~r9uJ(bI$MnSBe7x5wIZpNzxtM&Yc8&HBVpmCEFsxS z_uXo@?~5 zv(05qk$G0T5Y#(ld(_!2yg4ufNA|XM`>dLD|IZ#&nkX1epI%kcwNs}sIrw4Y*M2=J z$JPAFECTLh4}f-te9&i3YG|3hK*N8(_)EE~A2kmZvKInzT+p)<RNt# zTL(0J)IVgVneT3vUoH);WKv$f40`|)Zw-eW=3j4JgYx_BBWipO$LK*THl5w|DXW)J zJ?j+=h+to($;6!6*9QV%K|>nq?+JB6)pLcqzX0DY-{Vf7$W_~8EvY`~?xEw&A;YG8 z!SxAm$e@u~Z=S!LVQKVWis>sjj^fls==-5f7yq=CFzPNQkTG9q#-=c;RUmeG!%Eh1 zyd17^-5>BFI|e88e-J$la}=gkagmM5@6(B@lp9% zUI>{0*izwkn&Qs+G5dn3=nJtBP{w}HpB36!vUjlmYMUEqddG&A13>fbQJ%7geAp|- zek1d|4jvMidq(5B+TzjWP`Ty;veCLggS6?Pp%@e~RoyYZK$8z|y@!}IeVcA9sDO&S zT%P!%#;7u)Y_X1f;2Kye8MsbYzOP8*j-5hM>K&ibpT3Zp-~5rsti~C+6y!R+sa@Ay zR>*&*00uP{gNL3uV#1?Iru@t5&sc4aKE~CURxfkiy9Pt4D1;hP)-;t9Qi2ji^GlRxa_65w-IWw{0m+QOgsM^wH#L%sb-@#*VuTE1OnReJA_KF_Va-MM%!6;10>GsRYmD7{Bx_duO{ z!iDH>l>55QjcTH`${s3ozYjUO^?E$NJ@ZnbORIuQ{hd_GY#GBldF!o*Du1_6AXBlqoVtz0g1cFad~J?1DNC+ZCjspQLewOTC4M1OYTm z(J*gax1-auS8L^}!$}`6In}Fj$BCQK4TR_Wkf5>YP(LgbRZiyZa5U;=Z-3&yOok?x4NLUM&Ug++KBhlf3*2qXc{em_)aT zmtsa>n5f7gp{c}lZZH(lH~ngQ1KsxncxrP77~L#M-%b#Rs(5#$EdrfTrJ1KaV)`3%Y|7&?9+ z+51@>RQg_9L%<6B9e27(?ef||V6|TqR35U{&23J$^MRR(m%aDuf+$^SR;Wf^YYtmd zyVIJk8(H#EaNZb=9dYr={He#K%HV0&+q_>j;Z($Y8I zBkJJ9eRXmRx$KkqY3cY3+qLVT5T_qf-^YUnoVLd?VBIE;%X;fJ4a@=%a)LR7_|F$-bt!^E=T!z(lFO-YhPGT2BwedERN%L4&ABf&GFM54! zBeU05+MOO9jQ{j5T=K0+4VugU&D9qW7o;Xvb;Z})Z(f#YujfB29PkIN%jTogul@Os zWRgm4qNx56dCYaL>(UFyLs=ZXLY&;F88y`3j+yazO}`5#O$g%A`8zdXhxh}n5=ezN z++j))OGp!CMzSy{d_(tR56AE6#JD}0*yv6kSWF~g?4!4yi2ct#UFhwaY3{zg zO)RQbAA4;unJtN2FDzn5Zn#vfNI9^wBGu?m$vmE6{F+_n$w|#v<{56xPBU)q&A_jy zkv+D_rT{qm3R7Kq7n)j_`!Q0S{tY^lo6(pb+^09}79eijEsZvnQJX6sNJqfWn`5wb zI$@1cKnwgk9GH0(=m@6!Q>DoYHTEO_{ZDW#M?bko>*z;Vw1ue*Pd+ zD(0pI3AA>}S!GSVaCW^NID<0_|VbL9@7vIS24+`5*TMFon2iF+K}}l%RP@N zs}Fp~%bkkUc}F%PGsUYvN&71aJ0w^M>|C; zhwYX~xtnqTGV@^B%XR^~>UGS_Jo=lnNp>%BVoO{jmgDFI{`n_p`fz9W0?Uficdvy$ z*DQ3`+MnSgLPi~5XyFGfOy4#afo|Pjx!>&~^DXi{*~{G)Z66QN$m%dBHOL(1^7z{^ zX0$iWwfb;Qg}qO)7F}L<+u03fOY1L}x7*Dkh_$QSr~*2OmKi)>VSAJ{4<>=nLT(rP znkjW$g)6Ct$_yRi$mmu;a*zpY4HKEjx7c zBbsd_vuOM{wI$XdJxl>2I1s9N-5bAwJmHa7<*l(Io=gPr-A#?_6wPLFVwKc85kCU>UUSXg$%=usTvm&$CQaMDjAY!&V zB%IUcQ>;J+a^Y>-#cifPbl<*xTar}cy)x}i=&cXIi2mjFzI#B%J+4no#s|}KcZN^s z!M=CB^GZFfS=^}4UB;X9r4?)EzWe>VJ*i|M&abF~`u8wW#mNN;MWuHx_`>@cH~acr zxVIRG5_$)1qvl$>{`v(Aql3qe3)YXD+usU2VPC zPR4oPiEwu*ho2j$$ON&6%WJuP_3y+Vn-0Tq4xZxBlfS*gH;}W(QB|X(s4eEzQob;E z$QdJ3pMQa`Lan*W2EmjhEc@&b5xz6G~QOp2F2d!DPH8=3W6 z?PU1&ZIHh{K{b zlUSTG$xb~V*NkI!+=hv1(b8{sjE8wBeE;<>LO?HRGCrG^F61g{s~%dm8JJ;^tQQ|yS#z`Q93%sby90*k6Zee=jZDgK(nze(c@m#D@T4lm*f!0k6lBT z>ZJoXyjYl#Wa!%ZaDLIBt8y$}?PvW>ww*t`%j|ArGF)A1dnCMELTqil7x`kfE?ulR zyXbv%b)75ux1_M^4~VXvui!$)D6Hs4M=d~uSkYL8^{d7S2JQV8mU_ZcDN=Bm^_Tn=mdxp~vd)u&Cl)V9@2>3v9X3moV5$Pr2lcUhla zrmS@|UZwXqVSeO{EVbx2Nif}&-voHaVbR=(_Khx(uP6dL?5r0c|0@5_|AzjJV`wZ_ zusCXRp1tLGv2sUS^~u_&C)2v;#MNt|JC}C2#=RdzZ?4xCO<6xzwz7eVX*O$8^r-ws ziYYK$mXGo)$V;jGz6zTi$_hMOo-d1~OP&c^wgp{tEcC;*0bzX%Mmf=X`-o#lXGD@xD=Fcw!AP}Ayy_FPT8&7rL^^$r5WNo|NEes zvs0v9Fn(;al{^Qv@Ro3WJuK&`!5$uIzZX$4H=BqSoTlvKzAuzCwL%Yzm;Fn=Ep-XI zJu~3%t7yRR%mqx2zHN6}&MV|-qs8v4h1uCIO!~3!hz$XXumuL|g+25L{E^l5SpMtg zC!&V6%VCAjt@>(INDF1a2{c6TSS}k2QaYjUcU<{K>+;=MvBhGnyS3Y8^V|Mj;cJ3( z*e^@tbR9fFrGq);AIn~yVT zyx85c2{CgGrd{SL=Mu6TU+=fC0->_cY$26@{Usz&3gYC8b^A+Wtv#?pcbDOwd&`4E zb#+|d6)EZ#jNoA2fQf)m@xz#A^oH*pLIElP>_QCArpSJp*xBo8W=AUSRw$M@i_PE- zng(jIJ+_-VI@inW=kS@586er~`y2Vz?nPmknRfDg*-XLEr}K@PyRUuw<7uAvtG|AC z{m0k$hlYC0%y?rZdK)9sagBu+iiqd7+U!>wN}2f=oy~(&$^_f>*2kRcud;-*W9eMI zzj{mwgj$sEclYofV#6CgbV^IZ=~62_UWmxH9m6K2b?)R#H1a^_S0|Q9o*thDb-$e_ zI)B$pyHN3P{$<==_&V#4uCboqj!->Ua&l3WNYs8ZD0sgL=lYMcS{3sE4v#+kSF|!Y zVYet=(@&umJIzAy1oy>2H_Aiya3q4WQ{Y}gu|9zKNtxQbnV@X>r~y+Hj^q8&RE{U8 zl>Fs4HhsVRg5^y#?caM!MrUDgGI(uRu#;5s!||`x9oiCf2^Iwuo)ga2l@|%I?U__PRnNZ|sQ?d`E z{Xf`ijyJmAgp{u4-df6}ae9)h%wcX_TT;36ZA05ksR1og8yT#G&g@rA%Iv*8&YbZ1 z@@z*8;5q%Ejk4vTz?9bHlXQldWqd*k<1&dl2Qz&e)ySH{leS@o z!`*!6ew123x9{%e^jVV{8)qykM?Id3Z zUwPt>fr_FLcL^i!KUpW@I)2&(-6lLjwub*~yvpwepP}hZ{*j9Utrlp@!{mk_HrBX5 zG<~2nPsCtJ!R7hC{tNjp|MuVi8jb&WcRnNP-SwJXipU^a=aB)H(5Q;QXrO}?RpppJ z_%OP?jM|+FqOLHuS0){6=K`wmG{JYDc`;m7==6e=sPe;g`E_RfB2a{E>kAj30zf6Z*r!u+-0jHx}o9I zu>L-~H#@02d$|b3foeU|s*akw;RwvIM$lq9dG)X%v>cX|%8P|Ms1ygQtN89$ws=Kt zpFkap&xcr@A+448#-GPOG>s4@_Bvg^=_DT}9>G1-pFhL=+{<4#^KuCclD@~+8eLM{QrTPZJA zE^1~BG8n)7&>|S5vl}JHF0uK_T--9%dm(QR zzPZjG3S=ot=*?uwO6V!S|D#I9bnMos@2cU#ui)T%S%C*`d|7cg5KDJSC$I#Rq2$x0^$ATx8$ncCZS* zcBR_q3p>k)r;EGe^68;`+a-{H+*vDYi}iOyBq-&H0XYea&6wUr7Fr0?Q107u6`e<9 zuFV>E6Lw7fO1Wb`d4`0_ZRLc5rtr7cV4s7GqyFGn8WuhehSm^aG^*(1AJ)6XL(q|! zL1C)CR*|U=uvL=Zm4<+pk%d%`@s5 zYbpxUy+UDfJ2R4Pk{r zbLsXs+oHj2yE0ei)t(PI$;k*7X*m9i7v{LpyUB=}%q#Hs5kk-dv~_K8zmVjxeLSX% zLPBCoyv>&RJ1uR;*YwuPT($(9wV@6y1t35E1!0s0w2Qyq&7yPR`}P_#a~Nf-PQ$*o zjdxM@n#yFvExF5O`rIF@%j2$D!~bw?rLGgvDcTc>n!q6*woC7!v90H=?)7AO+-+O^ zW$k6>(E}6IZ!@wA^AyPQ9>=z%@x_}8!@4tlPd4iE3PV*MMk-lK`x4N|aSOrseNpyH zXq4V(bH>O+O=aFfr)uJGhytb*2J(+Z$}-w!e9f@EFpJL>VbzSXpMw`A@ER@;x97*` zo{G`&lSj8~T>|V0&-fW0mCxzriSYfLasq-Qa)3v3tI!1m1fo0^B{F-+3OngO7P1Ch zbU1q;O<6zd%H*>(ii*ejdu)DBd-N};otpjN5J4Ad@SGD{?2IxyH5|^5pGzND+*#yU z8kK8$tN)#hqoZTZ9Y$BU&bBZcXOC}(EM}^IlUmz&U3bTJ%WdH0!szDjTG02O#`--BkLxPB zew)o~uKzl{scLzO)Uo&BxTE65=41!k9Ll#Idoj41hkfa(7J8rDZEBjZ(}o{%ldm^3 z+CfeS9;-{8M;sa~20&nH!W^V;HabM>=uf7+)#9Psnd0)*Z(mx>tV*okz|?32yF}UK ziF+#b_u2L+(VD{52f|li0diqR#9TW)KI!xwct?!wg4#e>o9jUT07aC=n&jri50)1s zd&_Skr>gX4++m5ZL+NgSZ{qsn-CiQbQ zmfgqwzM=f!?N|Hvx02%!FW6n*8Mj$VthCJ^#p05CR#3rOOvlYBFWDVlrGCCz%+wL_ zo|QXOrO0M>^;w=_eC50`f3cddYUVIac^h3-$9>AG ztLgbcw?0wJje5hus8{}d<$A58n9}6J{LJ^S4@KGLMSt@%@n$^^XQ1yjyvY;EozATr zkBo6*NW1JVd&uQA`^x2SZj#%r)2=)N-Ru$h+pbRhTpe!j3Yk~>j~P1btE6%grtN!{ z4F(}x_At!n_d_Isp z=&M`$I;P6My4%T0mRkZBI5jKVkR`ZgE25YC6Ww^-^H1d=iI(%iE+tK`d4s;ugsbnf zf%jd|E0&;sb3=P=GRNWYmm;0Vf+QE=sx@ER^$AZ-udUk^uX=|*5)olv$x$Pn`ev$t zsAw#u5`8!78>%ft@2AjewlUM6IXVG8k-?VD@YdzCqH z%yNq%$UJKDqjj63DKn6URm_Dqqp#bm{)&+6=gedpic!2sWUJs_-;2TU%WNxqlAV*I_8yO-E*Cy&%CbItnW_-4Y}$I%@8 zwgA+}_tpDn4=KOk>>3{fp$^bS9O|@D%U`${Ew^RR8hmP+>&N_G?|9DzWxx#X`F$r)u}E!J8pDQ8JKrXC z$z7q?Z0(wN+c0KDXYO~jVZXJ1xBc`wZ{z1mbP(T3b0Ix{`(mmV>8G*1HAe_|ntMy6 zE0$Vhw&T%<{vfIU`qvgqTqnqaAgYc2p+!LNl^oBl9Nl?~hM@djqj=gY%w(3v!6*!U(DdR`6w%fj&jpabOWRGF&VS~L7a@M8~Yf=M>T1;dOESx#`qQ4 zU)v!vGR({C)I{}3FShqpH|TH|o`9~y=w#9T)Bcb2u-cHd8y_o=?PXx6SOeeN$=3K{ z9(8}j@Kepzx!P{Ccv*30-JidW+PHMzvgHNr*b8EmKW)c1dgPA!XMDfM-q7&@k8?d^ zZgUwANE#eu$cus1+cX^yat>%@`=_Lt*~CF`Qi;E3GlFa8!F^fOF=-?%(H8vO)UDq2 zHd<8WRk%Dj3;FWNecmBbvx0H!ae8bnO4|Xy?x+v?4qxx{ zkMT z{TTpdJubtaI-{j=oG%M>6`Vf&6Fa0}l-GVRTR;fhK=#Q@@#)<{Sf zIP|R@xs_zTYkzNE)(J?FDxI~yn@FGn8S52%H$6A~7WhhnZwW41B{TEbFgxVh5HCfR zcWqKXojERFVai=+b}CTiw9%zcR z6*qfER0!`1*PO2R(Op>99j3LYl{Dv%X-YE)GDN`Ps_>`X<+oJw)4oJ}XdQ}~#eKD; zCwXI5pCZ$0ew7LKknKHLV>!#N0Xet$^%y;kzq<;iCIEDo$Av9YSYD|PeeW-Nqtse= z8MLhK7t=H5Ifsa?(mkEY4X+PEmgjrt&*y?kMT4iMWxF%Q-;yPH>Ad3_UMa$BED5Xw zK>o7DU|L^bci`zI@Ab?6(E?msr&^jfUyr8Ipbu5p+nh36NRr;a(ZQvV zvgl3j&u8JHUrUR{dGbbJZ6^fTpH?_@hJP7ADFq^P=wVV_ZJtl>oFPrJ&t%JQy#(fVq4wk zg3*y^22J#UlwS?!$IB(^!`4`Cont4%3Gyd%OWZ(TtApN9Uru2jcDaPhtBM$wG4M=KpxR(E0$}e}VNyJU!R$ z07;m<8+G0wcB%I}%D4%7F zt#E#3bmQt^+{xCLFD24bvh&@Rf`{pB(=-T2i1&A4pseCPx`@Kg+*-3Lf}VhF)U*Yz z)f?gId^?;b$BlZ}HgfIIJ=W{!IEv*? z8E)LJ*R4AEM(Gd6(1h1|`>-?dKJmNkIQ`qvaO>8end{EpGxJhjWzkCe-rOt!gUy!X z%LsBz&oZiO=pdD`VcwxGd+|}RUjD3KZ$G9U|LVHXbl`IKqWf6FF7ejJpxOpe3nx>9 zcFG=lX^LfhuralGynj0q@y;cB>WTGIcY=omOk6+M-$N*luV)w9`nOnV6x}em&5~V` z(;{)P*gl&6y69x;(<-G0>RWuASeQCWR#jTk+vDRvu))V~drXhVT)#72pX!lP(;NDa z?X?!#;#vQqY~>j^&nauap2nT*79ZKsxQu-1ojv@Wu1NVQRG7AQ@fj5%WOI^yzsYk&j$PJBw;Jsh0m(BtF_Sk z>Yg`9wQH^zt~Rb%b{m#5&E<7O)>WOoC9j`G=8D5x`LqNq!83g%II3ityX_i0%LM(@u_D)y#Eu|5T^7^Dvm2*^N zzmpKS!N2~lI~1a3aacVTGGiqtYCbc^WK3Jw_KY4e#p{vPtFFdor~u;KMvqP!+B zEjX6|?0VYA`o<%N#|C|BAg{%%J?!3_oq3tEk;1WC$8X9BzA}y3pxMW!(`w{^5|cf& z`oFE2v1R#m#OKX16)xihj1slh;e6RCQ|->bUxU~1nlkZIxVYo}atwen+#hs?ZYJ&Z zt$Kn~ zpFgVJ{Ldk{A64~mm7U`4n30I}iRk(=H}%JLW==hRv;5{#4+;B|JK;0QvP<0yui5?5 zZneedRUot@vjYth@$YXqtCnw>_xJbinh8*ZuFiFWMddIr-Gi@ngKg;b^v3^cK_6Ox zuuv*?tE=_%H$$qWtJ*Z(kLg{v8QzDRH7k_N`UUB6NSXfTO*|?&@?TCZx020h6A)wWu2~hnJ(RaSj+I3*VAZ*}wQ$L;(RuyC$AuGu%`&v(7k z{AwwzSk#!|5>NbZ7G>wF<7hPgaB}T>&VMv-Kf12~t47tt2d_3Nex=AP=Vw5`x3ibS zV_GNz!p3apmXMJ?>P&yvq$T=W(FeQQeINWpdc0_*<%bj2%~iWH9bcTmQyUZQXXkHg zXk47!`m4V7YzA97L4PNyQCHhLusSUh;ZQY1GWiAG9p$)%v;`>b3EXdG|w zoIaE#)sY8Qce1Y+22~(SrUP}Mg(@+Ez~c2YA2^U5Ix4Sur=PjBo|W!;h3(eys&o8X z+@=e`0&Wz{u^)RlOqMEp3HjC22Jw*KX@+Wo&nOLH?r53rz>6-scBXt*va8W(SycL! zdNw$8sobpC3t+%zVY>)QtlXqXE|d#^WbbVt!(#R%e)i`L+YSIxTxE7we1)A94e@S& z!L1OT+0tfLh?aisz-l{Y;HK&RR=0oiQmNT!D@gnMK!;^=+tRwLyzd_K?-S?S@3mRe z-Z8kfdqr(bUwe3Is22y!D@Sy>)9wbNPVxeAewZrw?>yGAD9do z9sg0ze04%xF>|_KIxn{DEIV4&jZ{q7;VXI zoBfmNHM;5%U@pw+3B5?_33$Jhj3sNT+&hJx@@#dprRk1}9_1doXkB&_V7$rDMNrR& zpSJyD8bEQ6Zvjd869oO}MB zhm`UxCD+Ab>ysh)CLgX*guj=hOby)*l?$<+08;Hd4IiaA-+%m;DY^h6PjRZZ5{;fD zC$XH$x&12rBm4O-+D9#12uw-BhMxVxj~)e5hx}J)+VXL0P^?Cx_HqLT?egqi6<3Na z9xcF?jlBzmAU*h?>{QZ74n~!s*%@sL%vbOscI3MW&J~?1_8@nF@f&mK)Y{z zFh#Cjo9^lFyRVd1m-+P+Y7=hQy3FD;-|nE-*d?|HtXsO~`x9E&6$*E^TX+WK9+=5y$<> zvw-3fJf3pY`498;S-0`s_WWjY+vb=2V6ZP7pzfTX)L!~}SJ;WY@h7uClp}f1FX3B; z;Za&8C$B6%9E_zDolA6&20|&;w!EM-3*KFEbV>#2lpVOy2=iL4GIk92=B>Ev?XFu$ zueG~F)=%~2j79$Du5n?V_iu@>)H!ut>SE?GU#y?A(hs*S`BX+Dh7$gu$kv= z7ER8&Y0!W&zVV5m>2*YF_HyrA)83Pyyc2G(h}KgDh>OkEUU-X*v-pL1U+?{hYn@hb z8M4@qtC=5No=^VHvziocYiGkxyCE=Zzit4;ABfkVCCOz*gE-gRNir=W7tx4|Wxfak zH2Eoo8N?OjER_mLyf5(sSEC9WkYPIEW= zGv8u-#!fq2mHFen&Hu;Nd%wSL*Z1Dp&@#eESSn}NlpaodI)Fk8lodvSGE12~q>wN}SqTIh8ldOh>;CCJ*ZmiK zFMlt6r1$&vdOjZy01Yrl*g(%A`Kgbt1dlZ}IsjAFg=qr6(zww@{QHO==x1x8#3(uQ zdVw}Q!WC3?udNy2Z(XK6mNAxXAQ)KNUT>Fj_8 zwK7zY-e@tjLNatgHY%kHn}fy8hha47o>bf+NX){O7(31Ntrmrghh%!6Soc$wE6;{m zZ=2x&Z6RC*`t5mnu;7~bF_PN5Tl3yHsSshvr9*;{Pl9mAyxUMnIGEXb>;dnt0bk7- z{0tFnGQomyDj`Mh_EMtB_Huc~lIMLCE`xMp0Se62xSKs@+)2pDP+56slE7&p~swZ+u@qMU0;A&c4LGAsjyPUdLJ(klq2`WuG1;u5HA;79j zdFYvI&nNuyEaOo(O{$zG1N($zq~V}W@PUZ|HEnRzq8^8*P` z)(-12L|b?Sb4{|bv=br7PVF4J%u>){!?#d)XDQG2x`wR+f+UB@3 z%P)LIpF10$&O^YV5~F3*;b?)Mru_0MzaFylY!1L_lgV==C3eP4T@0Vo%~%~xG!}a0 z6iWI4__QM@!-yat#X`>OhLLgI7`rabf>-bqdL zS~`G?iM?SZRIjfP$O<=ds4Ab%!`6Uo_Un7JxTfZ9hYsNUnxcj~JYkWulHT-Jav7XV z)-pAB#1F9f9=*M^!}@xb6Y9Rq0Crf8z4#z7Dl6 zE|moXW9t*NFbI+YG04@zaUub3Lhe$felSk9>N%SeROn`f&c;2><-*JfjP25O1o3wP zYZ<)ACRWBJl6!F7RQRv6!p|1fS9) z7JUKP}RXmB5XQ9r`X~~vCDP^B3s0LJATr6Lx8QT%vGlGqjgqBH1 z`s0GT8SwZj(fRnl>8ReM9X(-DZ7Fq_Dp>k^jkR|{<)Y0#7%CUdTwv`_Mf@u!n*(fr znB?1$@e=sK;{|_KJOUr3XU&?5TGBl0@p>W^!17^=B{nCyH8BpyOW9W+k0WS$8=I}? zbQRG{j1_Or^?|~ty*5wmQ)a6t)#g;99|x0Z223=?Dbr20qp2unRT3lCyO9D&$T$@C z(Zy`BON>Q-cCb#N8y9N|sGTnR#LZTD&c4&-rX%f}C^L#3QboqLN;Vwh>yMBh^5Qx+A7xW<{nCVi=clQ@%a zCD@MAXx4!F7w=2hN}2YS@;Cr6E}_D9+Uf{W*i$G}AafpOSW@9s72`n4^Uu-`2bM%8;S%v*ad1) zU0OpkJ>|=oQtr4SojpiKb839C*m?5BEgeG3-cylm=Q^ch8AB|zj-47!TI6#bw+;p3 z{>w5#qFOsT>7d5xR81sjkePs0#OP@5!a@XQI5a=3yVXc3UbM@r_I%*Y`-iLgvMW_& zNX*QnQ7{Rx^Tl*f_L8UxmY3}fqjoJ{Z3LjR+fKgO8=y$a3ij~>mbA~3d#0UM@FEjE z=;h7%GV6e;Q)HQJZyH2@n{gUjkdz$g!PRWm*m#1~$!;@F2P3Xh0MP5(d$NCAM@LD{ z+a%OX3S_&xrgs-wVzX|4ULmq!))|p_t>p`Ftw5p|9fi^@2&giXG+qJ-=EBgG ztHTf>${U?p{0S3L#P-PFK}WeRseK!jen{VI!Bfd{E)HVa&5Z$w#@ zCKu>w(}NPWMqP@&`Ea>fXCr#jXDZWZY@kfQBa6EEMn#Gc8$Le`Y*s`v}0P8I}Hcyp>&SAz~11eGc$ni&=SE z8|xa}p`invVtr_EammYV_nse3&nBQUD7{1}fr){9F9GEUmTERjshYO+WEj)qn8*>JU9Fb~rNn4BX2e?0oP$H& z@R*>0@_JTPU|w#PV}qk~sq2`}u-a(E9oHnG*K3V=YMWHu$0A<=)sZQtGd{1=#pies z1yf;TSj&Y4G81s+&NGc(_|8fzUmtFJR&9XVNV6{}p?cgB#ciD6xKgzP5KXukJd>ip zpV`7HQ)W$U&swUzp!Nv@zkmuBGN|DwspP#9NS>X1eK_2Tj(mN)*tINWWX(1RC?zsy zkU`o_Rr8!#Z)0{hoAvGkv3i0db4tlX z+?yyk8!#?%b#~NQn2TimJ)i`E(*Jrq&R$UtjJC|*)$M*v`ho9ftV;x#O;RDlHz<72Q%4*>gVHL z)ic;K5nKfMqVAED&iHBwMVvn6wU;@{i=T5vgE@c+`9)2%8YpN$g{or4PXTsxBAD*( z=I2w1GtfbS(UfHpn^a`aNNWZb-gJrtGXl8Fw+z0zJO?Y`fk}m;Zn%(+tp$Ct&3222 zWjL^K6CJy zwY63+Qf8WF8Xh;j>3Bmc#OJ)1$=Okn9VEfD27-&znjJT?qNkxn)oJH2AYe`lbxJt3 z=_oO;4kpy1sHhPtR>1Om{Mb4ebh=rZNB0L(Ym=bU4lvFxzIgFP%WXMApNj0P>h#ME zz!6cqb8!Qedgr|ZnW`OddVuKw;}!SWe$Ye$xa~zf0QLe{a^6%WCn9*Zj(3Nj z$U_hy0DEXp9!16{jxVa`lJ47z%S@5%mGa(wg^S6`#Kp%ZnoalS(@yNtEzo4vt}WQ* zVr}{&Nqij-Ox?pgcAVDE>_NBuv=MBrRBtS~At$wshQ(@TvZv5G`Kem5p8H2>*h8!z!)>3Rcn2!iv|@j zP>{aR;@fDW?ZaEkz7R{a{W1;vs--Bf-h|iT7DUft-T0ZY$`xdg3(^ZElU(O7{5m$Q zr|2EH!y2MBlrxknEW`=`YtGE28g;LWV2!~i%u26CsCiFYVS}aA43#=*Seg@Am)haS z>yq0BeY$pu&aAbwA=5yep0}!N?qCSw&;%jx?OboGLSYat29SK{P@V35!9(a&6E5-g za(|xEMN%7}m^?O`BXg*aX5iaEw1mn`aAmt5 zCrO9_bTlDIF}t}_*+JugdmAp+OBUBUoO31A~+|wnfo7@5zyBi*$Kv zrjO=jhYs>p#6Kyd<*>=lHyuzLaj#S6ok)Q77h zLG;-ZX5_`YT{aTx_oNVS%OfEDu88}do0|ws#I@TZw47hc{V<*#rspA1g=3*iCSPa! zWf?%cU6=E&0_ubReTpLvf~31*GZ^HQ&D!kHY!i?MUJkocPbY%WvY(d$CpzhO5)K!n zmvaEOi`k*|aGBT;EV#b+LZ_xK3%j7Vzne(Svl=IREPjB%%jU$K2y(4-Ql|+`X`pr^ zQQ>^R221u!$Jv})1c;clbGw!bIJgphTvC9&1tlVKYmBK-KTBa7u>_vGOmU*g1~Qy9 z)~e|a&u39zr~@R_F3GOH(USW%uj2c@g5F&*j=XPM+S zp6krbWL;0g^NZR|)m!qC?iRD?(Gy2hKAiIrCvUn~nE8qo)HiKYbQEeqOL%XzV)KI9 z6|6XzV(5Su*X-uK%c9Pc@D>liHFCcUar?l{l|T)fOCZvXsK3!qtTLTE-)Raw8wnhT{TvXl{Xzq6tl^42qX;}yOe@q z5sxc$(t>UaZ$^{nW0>@g`AbY50y8m0NwspcQ#MN-d_s69p7Vm@GFgemI(&hd_RB*1 zP^hi9ED3&BpcW0ROY?MV@7Y5`pqt2w)A)uArI7f!R?LJ4o8}N{x)!B0Q5x=qO-Yhg zp6X}<3IU<=pvdNdFKIp*>{zHlT{8w?zD%9hpv;!l*s-1^1G(%IUSA$pJr>Nvvc)XN?k;h1+QFn~lcU3v#_ zKLf>GIE4+-w%2}5P6~%fpy$?jY2Px)BRRMd}Q508#?NRzghM zY`nlhf(HzOS<8gY%7Idfp`_*2Hda!q6cV4@alL;X#ec2?Vkx1tpnyEflP z%cTsGT>_BK$P_QeTS<60 zp_cxs&pYK;2J3T4@|5bQpg}rRW#NiPY3WfROWVXnw*_Mnca!M4(oG-^--Zg6ynEv( zC?y7#2h(!`v6^Vw7W^Bt&<2&PV>z{j#s#(+h_;))sF4?OkoD&DatO0qm{qfz_|Zt7`wZ48Aj^&?GS^1HzY(2Ul%M6&#bcj0-F#c<=H;fx z)@UnA&vZGInAV5naCUTg>#>vKhx?SH1k&R|h&c2G4@!6pPln3S$-a05j4FO%_oZ;@ zL~bUlTmsD5~>Bo#%`|*EirQMS@fDW8ZbL^1j^A43Gp2t4viNTQtdERK7VGr%|6&xFIf!f?c{SeHwP zgE53|4m-^%2;@<~jVi+7FprNV1D_ZCy|kN0#yf{e&X2zN04UyP6evBY%zj=R2US-b z$CS=W0TEsfFX2pG&_Fkt+cl+n}6GcV_b{R!hoFwl=E{Y0)8C!9@fS+HI_o4yQV5ltU8IyzOrHWhrkUFVZ zUFUcqaGGJhc0($fiFn4hZRXCClFPFToS}VQW`>%T1iYbPFkfu4;_gz9`!d!VZ`S== z!Qa3Wc(&0mz^*Dnph9*WF9fs}HiyAyjgQx}thtnOU})T^S0Z(K%JbHcViiwwCm1RR z&LvR5)6AXXS@PWC=*FfEO=E+Ut9%Lx!~{Jg8e3P(q? zIAY;>Yg)*RiNiqTG(=yXI_cPyIEV4*!S8^ePv|&dJkEh0O^a1^wlYUatyVvX0-}uv zgPkjsN3pm{c5yDe&K2CLpqFpWe3QAK7HV_1;pD>eK{{(R&S%gg1b6dx0bc2s$UFcN z(UQ=}0pZz*k_3CU$MZfW?%kiVpiYG*e7kU5ANZ?N7GO7OjZKfXrbS=`OLW0?eLt}? z3B3l&cksg40V;pi#dxq)ip_@C@yKGX>fWZS+#48`ZZ})r^4P8}yOV~l>q4?!+b%CI z@D)(VUFaz7(M6mig4%+fX@{2O_W*=i`XB`JF;_L@=FM)OOEyBmQbo~Kxo5%kfNGCSOlx(^aukr@j!A#>26b|We>3~~d~8P}V2!j3J0=M%EpDbei0=^8NL0!0itndKzuH1r0e9(S7E zXRE<@3&i6I|4FdDCD#&1GDF6S?NYmLX0C++Zx3KA)@o$Y^o&n*4m_ya^&toK%9&gQ zYyi5JIhz)AQ5yO-fZxF73L!vxZdDD-Gy)kCO&0hE4*AAwK_KW?xD|85#>$J}`WjlEK{~fmcwDtejDoBD@-Ykbv z`GwXw9@VqNZO^Tu6i@DEKtQC#fgYAr`;?rIEr%sEw+pJ06;Hb8U1Tn+dU^QjR&T1B9M5$UV4QS^Z&}}lD4v5;m8QV(C$lP!R^pph zs%V85(WYzNnuj$rn5w!JDdow;)p=l?XR~N;>GM_r82#Wa$7$lCphi;yXY4^0tiN!~ z2BRG-G)V>*=`H174vi=`9JW;;r>gXO2luvjI&v5p&EWq2IT0LjjCh`>%XYrfpn~C( zK7)A}Of2}5DCb%#;CTl!o61UN+b*bE6pwLbPPJ-sh3MB?CVj5EmCHUq%1rAhN0)rQ zbf%S1)w17Uv>sYS6`*dbWchmY&~t|C86ZS>i-Fvxb@DXKbelW^T1sXsusZHi0ZwJG z%f%zLXrI~_V9o?tmO{*%mIf5$v+G8+!iZQOUq*vzCthd=`DvI9jxBwAnI@KAQEFqg z9l)DSLe``{SOFewDFM6;>rBbm7gJcWxs4*7f*Ta*0Q0_rc*S0WVq)EtPY6y!i!MCUGh z5!pM-mM4To88Ri$fEeDfSGFO0n>0w9x?$8z=yEsg&dl6p2etj7>A)Ov#v%-0*pp>* z3BndlB^cbGfQG59YVpjvk(kk7(QCPvgnGwIb+vY!mnw@*5lw)SS88VDHbZ5bYcb_g zMdNi}f(c!w-Ib@Y^B;35R6o_BUZ+SeanLL~o)6RtHK!nvz5wmj(!$@H%{72yK{e@Q zb1*BKahw`6iJ*4?u0(~@G%{YOZCb2JPf z3-1ow7c-{-Y|riNMbhoCCs0>`8G+Ac6~3DUqtU}j@-t3l8w~3WKD|oFvp(yTYg02b zz+2kLo)47@G{B1qrfkLZOfk}kY%zK=FU^hi1mx&FQGM^2vL*Um1;|Ar5t^?K3)L|J zccDeGyJ;dqW0rs*y?hyoq`6S)nZRP1c40wVsB&6lh#IZUq1Du?{#JG63hir~B@X1SM)X1A` z!jQ+Olxvc2f@XfK%KIHxws@#TFV!PFE>&CpfZV{k)iLj;cIeO+sL-6PaPzLpXEkoe z?C`A@)SLJ7SZ3kyB)w1>Wao|sPn8x3q~Yt4nYEXyu^XIYblPd;A_!dV8Pd=ob7UMC ztN^|$GVeMAaNS6OyU|`*tzmz9602SUJ~6Y!LtKy9bjP`Tkd1L3Kw+5!7`m+Q2cc*I zI+VBbR9*3O6);zrrZeSPkrbA|3_EbRsDK{}CAk)9g33{O7+|8&;3(a#dozy1oZaq# zvSd0cQ-qPjIV+*cGOtIXh*}3JSGi-1yBD&ufzw7P=cM6jyX9An5~}GksHdGu?r?WL zBLS|X2N z+;e~?LICkz0m>h$BUH!hq&dwXjH|PaELo|*l_s7xBn3e~yqwt$M{+Y7M2YQri)>Hs zkXfSWI5v+SwK~R;)z;z=i&cZXywmL&f~Y>J*$iKZ>beB=%ie%8Y0`n5TlK(u6^FEC zLWto}B!N4{TPmR2^45r%_@ki- zl{n9#EZ!>OX)(IVAhRmq+8&uoVvvtFgif6qbVZjJzifAjVzn*J!i^w^if+PS>nuz` zu~lb*<~BHEy3Wk9>D^!{6evVx(#OS;&Kf3%F?s=Fr$nRG1O=m%I{>q_)zFt=)-JJo zS}?2V!7LNX$*rN8Q-o=qyQZ4x9HS_^tn{&DbZeA7y;SG2o&>3qK_(FmZA*@?nVf_R z9@F4gwR3chLoRo_F)7iM+QYgkJt^2ZyS4W15Y8!Yj9x*o!lg)Q3FKOt69Z0r>QJs) zf3T+j>o2q zA5rwkWYG>uH7x3ZA;QDwrp+MHEpq)+A^?t#1qTa(?tZ4#UAo$~yQ)Fa?a6}#>#^Rv zv4|C?TQE$gGK0K-s)2S%Wm0iDh~)#zjFDAbR5;S0a4j^2>mJVIBYTw#9X_c5ljSK9 zfl%4ABh;|3pO))Xb`=^<%xut`B?Mu63;>1mUflEmWZvYMlM!nP$8vw1I`a&4NJ+}h8TnWL%Q-G&-#Qahgo_wdR1cp990bj9Q*)pIcm-V5Yl9~$)|AVf3s zB}i|HDHx@bP@Ux0M92!89@MB!>j@FwxL2hUvUFH96Gw#zGo+bl1~o%@ z5`>52b14Z1j&QCrNiMfDHy>Emf^4O;@$EUT85(T5X_Y7XA`OE~Z^byftj#Eq$10aj z$=gGwiB;X4sMR_*F6@e{<)%2NoP`N@b&xYE)sj6=cQ_fi9fCa)Vr*H7f>=yqK#&vv zCcfOz;ZcA`ilFy1tUw`hajJUj0LiJcr0#!*&IO~unnAY>eOQ8 zrhzcZ>6lv73@A#nyq>q+YiKr!lwqc8R6&r%1r`Ee2;jvt>tPVnXYS;}uX%uyw!H{} z@32r})eBt8ayv{t&sVjs7XrG}&9=6VM5nQRpI5|~jsSN;JW-5h4o#ppfxG@tGB-TR z@F+d<=h%~XCbPA?J6zBr5fNQ^m3}v)^#J@YGGLISZ2)fQ77>wUDPM;ZVrLMjR_scr z+$l1pVB^eXFFT`xrK@BBpl-?q(dR$Kfl@UVNRAFrVKJ{^0NZfN)?ud&MIg`&%^kFP z7G~!?*$;XdooaTLh=`|&5+u$Y&(2LVK{VZG z9}yfX8FCTcGVIJIVC%v}^W*uB>u3BhZWkG;wZlm3FDM6P| z&)}7myPj&dBo@ZUs=t?Wt;P81LX;K<4^NGNPFtEg@mR-sKGU3>O4S4(k z68u4@uyV$I8k)7B3j6}$GEwsKGw!e&Rj_J=I&0h7j*kH2N6c`mU42qh7;X!t25LAk zYWn8x^T<^z?WzTS%1rlV0Cx_pk{hgZ$tU&Hsdjc13UDwr(D3Puopmx(n$u3MSi%Rq zH8p8ogUH5W@yvvevNl)%_pX z?>)?Oz(1ik!>?cs1y1@S_RY=pS*g zqMMezk!W^qxk4iu%84MBcGCB<(g?3qKRtB3r;4|_I%r^ZF(~I2f*BhG%BM!Ml#b|F z!ZaJQqcX8w!AH&&Js87nK+8GF2t z52)nI;Y5In8C{45r^^-_hBCzfC3M}qyjnYQ-i^eVov~QZr)6`ZjSMBJBFS-}#B`5C zUqA1Sij|?5O@^D$Y_l!`l6$^(UgLv9n)4O&9HgroxUhu@h;xgb%W@7QC6RY_`BWEg zhnMAm86Z|*Bw}q)tPOR}6)Q&pyQxbI&PB4~3K>mUQ{dC;U=3+{GFif;)vJuy4uJ&K zRn50`htXxH*H0Nf59D;Ib0G^=fMJ_amtwiWlJl~hSW8)k6Y9py z_lgm1=EZB(0$gpbS{tMwM}7O!rU57YF3Mupix~)97{+2($hRC)uY!NZ5e6&lbP_Up1K*#mi z)E=zZdQvMHwH+NjX@O;b54^_ZiA!jNhs#4Zd=$Y^Z{BV1Y7C7G;4HK)(Cevk@ghw{ z5SwfR18ewV1|VsGVmj^Yr_^f0x5zj>(o8dx5sW_IYz{*yxZ>SZs|KXhgF)E}CC)+6 zTN1qSV9PM)BeSv{YJ<}1ycVi*uGC!umP$KkAKb;bS4hqp_R;}syUs9558W69VW|te z1`5{h953R9Q6#dj)OA6~j8+iBMi0EJY$`3%waVpM>sF{|8jT>g(JJY=O2DzmxYpd~ zdoz5uRgpGG*!RY~i0x{JoF#@1fl8r$KJ6WD6Ojqt!K!$IcS?Idy07egsubs(6+G~H zE`vfgD7Td&Y=L9EALC`!6FYa!$cG8X*<2Ig2!u+Po93 zo4m>NoIp@b6R(u zWDLQA2Y`53Op@l8Mu69=SKtopU~dUqoI z)45WV2AEMK=+q9FvOOe8f+fgs%4ZPHh}8Qhwwu`tz9uNK@4?!~BK-6mK>9!@X}xq> zM^!k@b;NFr0mFFArlCRO(mO8p=haZR#9^yIBbc3>Al(H(^Hlh{I+as8x!!9E=Z?EG zY1fALiYfTyQG-ProILh2;gcIGGXuQic|U5MKw8}?bG8pD6@p~=R9$&PBfJougSq0^ z9$Hle`NJ3@FQ|WC`OMxjer4zX<{zuto@OY zk=aU8dt5mjwBVLs@SDLtU^Ed1WP3tmsN%t!W}^}fdc$roHk=VTQ=^(GMh?yeFbwVZ zbK{_5K!*}=mx5SQ#Ro8VK6qI@Tw-)74ZPENKi{bYmU63dbmpyWNsb)dD>&|s0ZBc$ zG81gml%wQf=?Aty>(qf=K?4kk*ZgiyRECF9LTk;a64BN75#PiEZ$a`RN2G&Ux0tt& z2!I`gnp*lifO`38W~K`J81Ni3#F^JG#3+y{cXEpAUII6FYu}v5z z`(k(t{T)mgJ|t%~VpHIHR^(Mp@j!j(^0^LXXb1H}bTjjXJNN!AEz2Lf%FnJ!}rF>KXN zs8llsa(AgDUIq(5Pn=}ZTY3+OY;}O0SZT4^)`)W~vYk0j1eC5?T#a#2Cu4;~9Z2uW zl}&(cYy;tQueCAsNmQBaTyCSW51XJ8O&%x5_{FtX&p|zu2=_#xfDC4(jWWsh578sh z%5Fi@Ntg*Zb{OK`AZf+2srkuWV~W59cp^(HsIsjUngsz6*b3Af*t77ays<1Uuqb)ZXJ^raiCIck6D(e8~LPb!4~q7 zb2p8a2g#Es-hz-_*6Zu!om$qQ?5d{b^9^v=YjdMDl~9dxGfJ(z`^>)H)<@IT%*vHP z_HmjJ##om#>%6sN>9d@LjY0w7zq3dPG?q+X#xsO$WReU^V?);>hlW=Uc=rPkz8q*X z4;Z8Qbkx=6fKMw~3r#k!g2XGI_$vSTs=vNE%FwU4y?CyZQ$&D=lCDxnF(u2Fx%MzkK80fBr}3Prvt>Uwii}-_U>GyPx@) z_de%`%-4SO(EEP!(EE-*duIT`Mo#2 z<>^07-go~`+7CYKbDzKeMW1`ewZDXZ`&aaDf9JkW-u2o0U-y3Pe_wy!r+sgE--kZ> zQR$BR{^tJH6+ilaKKQ-2z3m$xMelh3Pyg{d_y6P@S3LDc>F_fTlkfWP{$+hw|IP<~ z@`2|(D)H98kskWmNB`iZpLq9wJOX>R@2xld!&_ea_P{+qd&K3g@edUB`Tvpq+8ZAB zvzqvQ{b#@3Z{(H@#22`Tarp%2(Z4{=?51 zH~*toew2OpuZtg2@4fZ>vgi5U@UXvm{$Jknly^Sii@DJHmehLlXgYfn&8HuE=hJ^S zeZ=}j8{(R;OrG?N%$0(E!|&afz&>y$u4C`HJp0SnzI$^0U01|DSbNN!pSthaUw*_p z?o568`iI@!yZP$7uG_xwEB8D){_ySdb362|Yqz()`<|QPkNl4h4(|Tz`<`6e)IM_n}2*u>E-Z{H3b#wai+$&NKf7SN`}PmI zAH3$dk9*w<|L5J-&DZ_vNvUh^xOI6?w+_;YW3 z->r}Pl>X*BAMwk_eCr>sGTwFFx4!fO@_RYvQGdFA#_PF{G_H$H-haJ5{@M$FdG(wB z@Drz3{`l404}bRF|J;A;{MzWpFYnoX_U7wipSkABU;X}j16RK8;o0B1=M&RAp8K9Z z{pq9R=S=?T^s;Y%;fD{s%7hGO+dSB)X4dc~QboBh+ zdH4PQ>owYKhw?A3{Q&d$(=G42Tql41vxCl4-v1!?+TVq%4{zT1`;Ymv56bUy-t_g^ zJFj`(U&QbE`{Om?{x_fZUgVJ+P?(x!{dP@w-nb|D5`#ci;IP`JZoIRP&#H+|&N*`P`P1J&z4!TztKUN2d)u|2{QBSh#T#lb z4?WBM?2oW}ybZeITLCz7|m?g#FBKlQr&XMW0j`1{X#aPf(EdWe62 z<{j6ffBS3Ht6fhXd8VIw{TIg{d$IR!`zGnO8^pphp7X#LM^F5~Pi`yx@m1XP0j_m= z+T*@0Kk6bputVO`pkMgbUtIlc$$YfAT+gh95lj&wu}$%5T2(b;9=^a@`*L z%samC{=%;gx4rgFMH^LA5ZCzd~5ou=Z`AyY(DBAKk`QP z#@jBBfq(qk2VSB+{hlY~fAyKSUnza;1w-n&-D^K~-|OFWH}#P>y~h5e`)SX;hPnHp zmwn~8e*NcnJ@I893Otb>*55c3UUb*5gCcM4Up{D*pLo?PKK4Ipq4&X?{^_f)xn8}h z@@4q*G5C&KGyia9?>*P-KlzlOXFu_Z|M=olzm$63dmj4UebetfH{97<(F67 zcK2Yt9M0a@c{3*d-f!O)eZA-RsTbe>ox;zOZ+OMx%e&6wADU3NmAW7G?e!1eb?;4A zwO{a(N4?bk(v|=Gw}1H6>*U*^@4b2PoTq)z{NC(IljIAU-FJWScfQembm29N$NZ0m zrQhX$(L3M%n>SK#dDlNS)}Jo^+Y{~(zuy1ki(hpO|6c6%zh)2M%VR^geyd-&_Y2p2 zJoeb{d?sqx+YgHmXy5$RPoH%ey!_RF_s)3cw%4fIFa9C^w)Gc&_>|)E!GFK{vEOgp ze8qp>Nj&gQ&hyEeD*rxEAHP@EfB9(bwJ*7|^5pCO=G8Z=hhN*?!ruMqr+o6|@0ow) z&kN7_VfN#f`W=_ij_a6f%^O+P&K z``JtX`o})`z5n~p7bZv7T=C?_?fJnYUSYiD$uEr;KK}3G1A@*A&j{NbZs{^QbDZ+h|I zf4%Bw_VI1Ehd%yQ`rH3Dy^P66be{IMXFSHue*KD%x!(5ud%sZh{SSQiUspBk_4o~s zc$fOo%4;UG*Zj>3)VKBSH(%-c*JtcnJ@f-jeEf>U+r@W{{`?D9AYXgZr*6LWkM4TI zP2c(Uzdq{yZ@`&XektppzxtWe;GczG`pzqzTYu~PtPg*Vd;GuD-}mCjGjZ2nB>!l6 zyZTzkf1~emyz#r&(Vp)@uf#v`if=vb!*BJ!;NkBeK3<}#@h_iVw}15;e(!s;2Y0`b zed>qr{mV~%`uOE1S(pD))>lA9*>!D;loHZi(j8OGjI^{8A}s>a-H7xM5=tX5(%mK9 zp-4B<-JQ}U|M&Emf{^P=d8wr@j(k*$Prq|g> z6n9EgqSqf%W{yo@XjFm7l{0L-$ePg*<5vpJbKGX|H?rJ<%IX|#MQIkIw7?K3VWAz^ zjg=d~1fNJ;4Ym>8Op+xz4s}Nt8XkTm>|FthZWB$>p!h#b??^~ zNolQ3xi~$ABlmT~)22!Kx@2C8^e85D0o8)2V%%U(KzyLgumXr72kOe&%W_>jMfYH8d{|2W^y6rkb^}TD(DBf5 zMYu)=r>h2cDOQd`ZEy;tforq`I6|{E=aOgeEqKz;+`R&G^#ReF68M1fTdv(#?zWwshUXb6$(e#jWP$({ zO;ZNGdQ@l?7KXN&_RQ;0zEmzkX49g?w)qhaTVF&f zP9*esz&`(uXuGO>{yVf$BaZ{(w-NOX1oKZnAjg*W+l$Fe)rp#|bOPBocX4hsIM0kR zMJ$#iX$@B#zl`8?2PBBo6vYFtC~*+tXm9Di;7`rIsU;qlB(MG<&=_uJ?gP=A{J|qJQh}As> zZ%j???QhI79k-Hz5d(v_yD1!4J5(LkqVMRI%j6K*yag@$+F=UAYq~a{d401{y)?s0 z#vOs5m5xc8&Qg$NdT?dwHsH%-y|$sA$C6IoI9IP@zJLQld-$-K-{vVv78)M)#0Vp| z<5}@J4|!P7bUX{dB@1~!yWh#g=wpVYEs4KETtR~+QAawoL zlYUj9F~+>?bh0DJD1PtFY4YD9&qxHHp8I%L&Ccm1P#oLue;n;_$JRlP=NTt+Nim4m z9KYuwpHYAdjhhUxe2Khe{8lO+zsh9Ch?IRPM`e8zT`EZY?QX>(6VX7*si5-5wJ0{% zk}&-%)G3i*jWt6EHtzmgL1d_abx>r9kD%w9V{oJWY>0zwA#;>|WF4_%y^Hb_e2HSr zlE)0}c&C=`XVSHU@A`hR_DzlD#IZ$JyCj`B6)tj3`Z)BV{v}!EtaW1@&jBcsk_avN zp*l^-)>QQ7`_ zHU2BE3el0&E>VxKd#v~sEQ99QQBlXl#tA&i=H9Q*=e{O=el!vigWLTZ|3G-K&>VE8W?0 zQDIF2i?~f`jV(Ki)IEz~b(0dNKirN~K8#vWub{{0D4e|c{YO-8!e~#68BaLbNSKl` zgzG&e4O!2NwaKrYUM9=Dstw@fqjJ$|^~U%Mm-VQ^A-1m&DMzvw!NoZFb=yJR@gQL~ zxL{T=H1_g|t$7sU`{%cE=_v%m-H7ceH|V*6U-?mH2q3G+~H4muFG@H zBgR0*U-2<4ij&#p6K6@yrLSx{b5yY59@i$>w7kTIFJ{JceRjI zM)Q8Y;cj5k5M036uKZjh@HdmLb_oy+y_+5Z_ZPx{_k<(Qr70`1dD+x{tk9Uh(6&Flox$=#4U%z8Gb{d~9J5 zP4y_)qT6c98@t-8?}1lFaK`$Ps4C3_W(5foqCvs zA#Ux1X-NFFSB`O4(>fAMX1#%WB+zxrjhJ@MuRLMbCDdD=iDdvs0OQA?>oii5WSjd% z>ahZ1RC&dl#+tXgiM_{k75?j^t0R6{QHHIkoau1HmSoFewlk;UOETkpHq~h0U{XY< zFwuEtvu}y#gc|k~KAfH2UUeHGA(9!swCm}y85>~k$`?fPqZM_t*Z}qzFd`8mAtAx> zUgNt@vvT<>jAfT`F80r%+}ZWm<7W-H!%PGSi;xX#v7x*dkX~7L3o$+{$o9?zrr3V* z>W>=FlOz^R+UVXw>(nnq=K^fZbUKAEK_S*^5Mg>gsS-`_s0pYqWus8|fw{z(Q=V=8SFjW?b@ho1 zV&!@6if4~VPihu^@5M)E89JqiwLkHBm<@9$iqIp$lJC>mV5x70-c`WyI1aH$e~C%G zfuLPV%WS;?we91y*3Wvd7eT-3V)}{SJDMs|J`0=bBR|aSUzbTfocqDZBo^)@j=5kE zo3|*0$s}BL5$;15Y)iRuUCsLYq}{Kd5J9$T)ZO3xXzTPXa?aFvta=4{(~;Dp7S9bc zdo2U|Xd_85DBut`?{q9`%N3aMvWF<23KseEZDutkx4aIUqQM`jE7AfbmzM*+_2h0I zLcYY43+2mIZUB3l(j}_GW2?`VGE(D#Je~Z7mB${RUn_SE6hY2?RBtHMN9U1SQwX+m zBd!ipzCznmdh3y-(v^0@x!Y%%TF8*_$LIwz^7wblY~gt(ePBGpKfKaqIZ{x64YLsN z!W*bjXBY3cEcU#*kOPF@KVOg^rE_?)Ys zD**I%<=m1;nQ{d}-pjyCga?UQB?%RQ9kqIkK{y|!OjPtf&DK#y;EMVP#F1_lgdTsRw!(^ zmVCF+@e9g{_NJX#yxP&?jMY-=^-eT%D)Mp}A9Q+xGq{KyKFap7EWnr2UMubb&;Mf! zx(QAK+?iQ=EG6`DxI#d-SjTg%Va`)}2Qg&$&gVTHH|q=%>yFJEHd#)@?_C1L?P;xm zdWU?+!PYgB{4;O8Dv&9avx-|K2u)8X$;rB2mLgTE6HFPE63swZLxOcSW;0$B_1wA6 zrRdYbLdk3yEkyIoO<+D}vaDnLio8BB_>T0d%Qwmvpg+tClD+i%&F=>8pQw5uKg&F~ zSDfDz`v>s6@%5)ItXU-le`qmwy0+$`lYH`y%ha}3NpIN3fLTXilep>*pk`}JX~k_- z0xSc1hFt_|C_9D3UrbX2bIGW?Uj(*IQlK?YWANMSN7-HftO0n-fn?K^HxAch@`s&B zjnl@CD|nitRu%p3L_iW>yM4gXoF5uMjIkmPpY zy`juA6>|Pk7e2SM<<#?0)moVPBZkf~DN^^(C86hU)oed4wa<}LEwnaKvtFc|TnRn@?-L1uR_D@_t zo<6M;34DVfbv_)rYnbtxx4;K7K6h)n7+5oyf?vZ!W7RKh+vzp(3#Xcr57egW#P&vQ z-ZVBVi9{7?fAK39%QQ*9rWK>9&ol@9e3!4FSGOxN&xmlce7}vPTiEg}*oh*m(FNLf zmuh+QF7aGs=Gr_dN+M#SBfyXt()I*w>xNR`A~g6JkNjr$5XO1aKh&6he#&vbDFx zF+uf(4p#Mz<<5HXxy|kBc*~r-?aX0yL$wH^eh>HJ{8xH!P`RWXmAm1lkYuU#!DO@9 z^{2f-n>*xESesB#ZlE%Li@?pVC4KU7GH(G#%T;t{{?Hry)v>7d;jqjGnFDH(;^xJj z3t%7ctnQ~#<8C#zp0mrJmj`4bXYT^;NWSe{Hr(6|t&py&dYsgvYh)>HIC?n=}k8hFgq%S(NsUtvMi~U+5-96X;wemzOxn4g)h%xb5ai^}m;xqI>9 zoh=TOKguO9{t)&p4i~$E2}oQqV;4T1B7W7-kDl`YiQUCI%`~ro#$KnqqO~BG_zQQH}7cFM?w=BgP)Gnf>5|D)R328MIBcwdTpXx%j)cSE}!B0&=Pgc z^^ao3P2Mhe!uw%qq)UeFezK5*srS|7=yR9jdETk0ozjImuS$V(kjKRA(b3fIyzBsN zd}1mCLk~SQ!ko=x=i=sPeEM$kFT_d(!E(x+n5c&}hsW{m&zse@DWM!QQ?`wu@|u3d z{sARr(}QGMG3iu0Dlv#i)SM6$VeDvNz#&u@Nta4BFfZ!m?0B|neAb#iqa0>C6DwkW zNdIhLSyM@Au-{a+!s&P_{wSdPayKPEAb_O7WfvxRJ#;vGQ$`2+J@!Q?9FhE$D&-AK z)XC^!ZYDX-iJr4+5!XJs|#-yDV04E;Pza~WDg z(9|uWF;59U`s)2?p%{G5E&3&NM_}7E?)_8k_?RfNp}S-9sfVwe&Wsw^D>B;x zc1w!pNh4fr8K_JwCTu5{fK9yA-^DD^_M|^2J}GRJkqN|Y3oxv1ERY(kd^01_V>ncO z0=rH1h@H7ZGYhFcM-tVdks*t|pxVtr|G&p&T$A39_lGZQ5C$%ZXfBy#Xp4_sR%DY$ z(}a$O$Y(e^qTzjgGV+d4k^gGH?SmdTDg)#3i9x~c1}#tC<+jN!kj}3Ere??O{Mmd$ zo5Qqz=lO9b>W!#{j+zxP$nLCjZttk1d0%O!*V^08`_{81EElmgVU;1rsQMTc|9I;ttHW+ioN*F}anzO;=Ma?G9m;<0A-yW;of#@BjZ zCVJ4_Ud=~B&#jTWu@C8y2eA(+kc@GtBbK;_lwX#Zq3AwhT}ZFEhfwrju^wd2--C~0 z-N>WA2ccrUNN(gqD8jF$YhjsT)$XWt)vj=1TjbX=gYz8uUBUPYgR#|7sU`j&v*M<9 zvCVqkKh0;$45;rCJ2q<{yp42j{KqGk7t9yl-1wgrcwAJ)J-L%>O=Q)4bGE5Uu5V{c^ZG-4sF+On zT<58Ks?0WqS`c0sMW@9LfJJwJ;{Dboln#iU{!d&5seXNk`kb&!4jd|AML(Fc}>4Pri_2DhP!GC)BQMMXKXkIc_| zCOrZAOex9TcgF&EsoHz+4eGXm2>#B&&hw2yS*tzm8Q3+~VDxnSo_0erL~Q1=cVSR0 z`R;_ks}Z#Qrn={HksV&Vt6Dvr%ANaq8vep#05MwZbawD3VSwSz%lmx6`_DQmPRlgh z-n`k!JB3?{I(g?j8xT&lXylbqsusOTy~5(I%B@;&>*yM^u;@Fg9;)S4n*c$CI*XL` zOS5uMD<}!v^@EB;9nTO~P@7oex0WImaQL9b-qf};XHzjm--@;89Lb=3>so0$C_1Qz z_=3xps;?x_LA|UdB$m7~^8VBN3EAx_3uMS$20!%{U_wHs!qXd8DB6z$pJGSfBZ*lH zaeketK4R0p@oP{)rXYw?lG$<~3qb6g4=}9T{`oaS({t!s?wLaS6M*|tWXGOkl%I0F z%aX^(1l{t%X6GVdEZIIYeq!lj{F&eB2tG9L=vyu3_Oj{KvgE*Q`xy=S1KqWc2Yc~W z9VKivcM=-OUy=-D+%Iy|tjI)yqN=lrrtYeeR<4tepQ6iRFzYbul4zWw=MYPBoe!s3 zM{*kZ?0hGm5a`1Q?4OLy=8?%ETFiTI9(tghq-Pj6-+fdu`kr2kz2U&O%#giK9YM!7 zF}d|QpaV>23K>bpy>{q@f!T8-g~3@_(n`P90Tf*#=+z3oB}C{qwb56r?A><^K>gR+ zODz_duQMFHHLZBn>I3Hb-dK>8c*bj_mUj^8{AP@g8_QbZQgsd&1pgqk;x-)hj#RNE zV@BP@U*C~q_&!Yg>Zx4u5WnNL529&}a!5A!t%ZzM2CpSk@e9;D=o!*6Bk&AiI#`#( zN8zr`rf37_vgJ5x=NZYK5yBlN-jLCA+uR^iyi#7q7aJJSySk6qemnI~sw0b%zJSem zr2=;?d5yuF1mN53VNEeTdrTkxc;~UCLQ8R8QVsTP%Z~%Yx5m^en@$2cQ3&2IJdC;< z!NUo363T9~!AD^~l=JsRhCKptwXqkjk^~GjWd{`nV?78y`d<>gOn6!uNaeC$5IDgP zU8H=FKB9C@7~BJ*b>Vf^!|dUV7?Q<~c`%ruR^5`>Xz2$#yWukX59&kj(}nv%cnMLX;V zWYd*>w#JlWkfap+Nz^pI1(=tq?VgS#YpChzQN>H|CqH-N^?O8}K%>4c@gTpy^U6~Gq-!s^r`3nX}oou5aBEl%;+-=VZ z$DJ2Uh4k|FHggzl?w-n^!^aan z6MCp9_DK3^-}}~5Q3-o=5uN5%DLMK{i9Ymi8|^+-p}wH*IHK=w@FG_lO3{AEFu4Qq z3^gfqANI7vx+H$IK{#lP5m~c_NNE?a?eK!0cXv3dp`R4;#*j8O|RFUNBWPK*w!_%(kv-^_-rLhl(CutT!)#krG z$xr1nC0I<1&B@bF1q1dyEi-&)TbYswg_Vb8sQI7O3n3O{ZNhB9!LLd6 z=9n!0wIIdxre?_>>n%+Q0Z6V~0jAO}oS=Q^jy zo^u_hz84RAB*)bz`c0~NPbceXp3mu23DCJ-X`V24bbX(EWqOU>i(75@xqUvTzQykc zk(T=96at@nW`brKlv^*ad(tXteQk$Pe^rj-yd$NVx17 zfELJ-m6d@_E7Qh8**_Eh#gOp~V(3FKRvk0Q5r(F#ZOWpKp>$B$CY-T}djT=`S2SHk zD>_rC<4o|%ZjXEo{+Xvs(q({iB9UZUmUG3uS#Q9Huq}K7lzF7(N@~N)A3Ec_YQS5UwLbT03i zCwoo$?Uk9Ar8;F{ddQTYWF)59+M>YGvC2LRBZBAR5#{i8IyW}&C9rrol6AVWiu9KC z45O-NUwla*$E83aHkPA9YVLc?&hj^3-$0^G;njgJ42`CcZ4%m##PBDd5#FF0?keGu z?8j(D3E%V1{D?@LaY80<@t%CQJewhX@*y3E0ZATDuaL>EXCjzcEOf)@d&a6Ui3p{7oa$Ayj9ww6-LnG)Kfa@Eq5f+Te?svJg`l z!#b^o6`|Q6Bfk$1r9nnlDgi`MUa<)}p)btaiR)UZ3?y{x z(tf^YxfHD}*q218Dx(`SX^^%Y7bw@k`OH2i16y3B(r%x{;W58WMi+%l+DKYmkOn{0L&)W-8^HKh@2cFsJp$)0+SBQ(1Wg zS=m3bAJB)V%F8-k?NyRlR&VGkrxo4C0GFoN5Y+${-lIF}o|!!H(`2OmATVoL*+N)}#|vp@T|?1PHtO`Z`305%T}A|Q76x27yamg-^KQJ^ar{SVw6d}TF{2S64;yV(+~D<-7XjQ`x=cVG2z9#5A)A(dq-iIvQ$i2Z`j@oM*&?W?`YmK6CuoDJ*Z zyUZbXA%QBYXc&wYVOad6-u@)}aP1_ofslD~&4IPJQMXq$KBer+$I>(Z@VztK zisXKkh@3rooB9&B`OOr4$>p;H!RJs9ZT!25X_rf~utR-EyxLvtlUHZt-8 zZ>o}|%#1(D?Xw*K#07{dE0#CS0cX?8Vdhd<{SLsEupltzIj$!=^xZHZJ?y=&28Qt zM)FYSPpj9y5dzjWq{G^r)}P>MFCFZ^;6HJ!&>_I4ZKCI}d?8^MvsgmF#sIgu7;(^% zlY0e1AKA6Gh*E5&&KK6^K~64pcURk^9?K8P zGu~6KAps8=oXrtrA~h--8f1_4OUGYJ{i;lT!1;XQ5JK13jvqYlZZQy_VW;%22XzU2 zS0Q7;k>Ko8By&IcQ$`D0B$QQqWu%cF5=oMpl|96!1F-RU3+*F^fMF_HImw4C?=?pA z7>1dRG)%s$=zny0B!S?_E%$EB#*~lvR&v4?5Y*XjRiA~h(S)hvdWwCWqEj#n^>PDB zA3U4oAko9a5dQs}_@qzBo!&5%S1*K!k;{ceLY6Pjxnlm6w_V{-iHEy`&#x)m3&a@0PZ+IE@zA z=o4BJlofpu4!IX$P4A;#GdtGK(Rgv=zT#A~8N+EX;vjP;?Q=grwNIN2`ZGmoLolq08c-8b8slt_I)kqKTNH_M%!^pwR~on6(o3PWYZ8 zQ0vBKU{tvGEIkeem6^%xviR)0I_Z`-d-dj>*rtszf;eD1;i}C}xw5ga?&ziyag}^` z&d`~9=f^+LLU(#|ds*@4^>-zag1ZYxVfQe4%9IrR)Kg#0<79$55Q!gls{U_y!qqzh zk-ZMpRqDZL&yRr=36@YiqO(+>|{ zeNT%$MYyk{dg?CwBd7Q>u}k}w(dZ+OzxNiCX&!unN4l!kOdfgw0!!*~$q{_FrpwU(8RF(jPcWP{-Z3dPO{8}CForqE z4w0J?l4~?8ysyJP{h07oYefS;(6I_Yv$R?kvaE6WVw;hrBMR3^Hs#So{|(3S*>bu| zDW$jxSK`6rH{r8VcP*&qiO_BFrx)Ts&^`Gd|NdT8fPneraG%7<5Y zy{+t-q%K0@ahNGQ*LuV*N<#G2NdcO^+iEhr@aL!5+?{QHxpkiELHO|eF+Rau&AcXa zAsfY@KSObj7{@YADG{%Pvdgine&2{!)j;?I#c2_O@J)No(P~d28bTH^ zqeDPIWcoT53nuF2b}$UdwuXgjiuY9D@6S`)r#Sx{2*9BN@cZXb8{dPFE~sB8f!q@T z1R%(?bu3m&01%8C<$sR_5P*Y_4qI3(lmI~p;JzgQ5CTUUY-6!d0R;qLp!>RlPyrBf z9_1~C0332(3KRfBkx?6{kx`R{gYW4A0RZrSrBDFmUs8}D3|Y4JR~HV31McfWLE!&L zK>z^gzRy6^X0iW3NCg6;Iw;=L1)&r`$br9ZK_SrlD5ADPf&E8H4hMqn0||mck%R{* zFa*E?00G$jk>Ow<(svV!l>#IHzCSQn0L3=rJ{B`dR}cib&jKnKz(}Hlf5b32;9p`v z2>2fwC{Yv%-UkZ>kidVX5D--Go?8$A81fHT6euv@_ep|4AV~Wyl+S`70myx)A#gA< zasw4Of*?5PzE6T6AmqO;3!)f=-ZLu*1^|&NJ1AuV;J<=Z5Jeyi^}GTqZ~$=7eITJI zc>g;x6ax8I)Iou$k^ciF6eb9{PcVwr|AZYC6pmU4@3{qq!N4G-_b$pZ5caRIgTkSp z{|=4n#QLv@hM|c4Pu#&^|Mm+eh~n^{ct`O8y$>`D_FuOs{|5AZlHe#>k$^oE4=|v> zeSYB(6uv&NnW+E*0#Lzwc%aUq(*M6=Fe;n=Hy|i6{Gagns|`h= zb6*Tb5%phf_`iYxr2>cj4LxRR000OD-b)w&KmdSBHod=LkBSiZz4$_@zyYv-#HcVp z@pjKP09AWXb&G`xHHaYm9%KLj9OXDFWmqY|ko#z(6kxEwkfG`aOyGVHpvoXr5Q%n( z#YPT?-8Tw^p;-JoBPvv(K=re_=M$>n!2Vigp+qI|eWp+vD6=AmD4*bfe<2Nm0RD$3 zFscgOH;hWL|3MlxA;J4tfk7b9e++}6C>rm%g(`G{e{0@foB`1LH2{E`??0;wGbI2b zh-v|NPy4T9Pxt>8fxppmUnnSue1}>Ar~#J_i^=jNz#EDS}WFm>?Wx05yad!3Duk0|Nm8Be;Q~sIZ`+ xF#rmNqcR_0AYf?e6aG?(Xi6!v;b)xCBek;6V=(T!Tw+cXxL=$UFCa-CJ|j z{ORgitGau2kJ01LvE6@t+-=R^MvbU={FI@MB-K5ro9%z<-@f4pS^vhu%a3}s+}rEX zvwukCCL@U_5r3AOFrW2W{F`y)l4rd(EFMx@dcLFX`i7P}USHcW@cFgUiBCgre3(=J zlrG$CuzRt;cjHU69sLhJbj|I5|ET>n@OjO|p1pW$zdgE+YuK;HW?he2j5oV|$LCyb zdGo{%>MsM5#pE#!E;L5nY-=A~+}g6% z-grfzmAgU0-s0MtpNVq6&zl~$YE7$= zepbu9Kf`x78z*ezZ3@}^^8r81U2VP1PkTD7+fC`_<_$M@@wOg#tK-F{b+>-F`crP` zm7C-9tg8*0-qPfoJs+{{=CM5OYNMK4-hM5%cNo(8dXrqujhecfJ@UM9d)v@|YKL#$ zdN<*Z;fa2*?Jc4=>HqENK6_}>Ku_(ShU_1g-VD%N#csCgM`Qm~{o#e+&o2F1_N@8v zZ?*1LqnCn@zpxwh8aZ*dqhH%^zi@x*^($}q#J#Yah<;t?4vXEIcx%c_M8BW8t>z6o zvFFW8#z*#`20NQo8~TRh_S$Z)cuAQWZ!)m4_hAkELI?O!3Vc`3sg7Pp62C;&H@Zg{ zN!;ALZtxFvpP^5C^;_&-vVQ7`yM;|J&P_zsK3QqFU;S6x?wt;+a=S0LP%ZhDT-)bHPQ32}=t$Exm-ddjKX}y5Mx!pHk9+<{kG5w$YRkSl-gfV8 zaH{DxuG#TF|7!G>Qr+El;`IfmKkk3ix|(%>j+t z0&M-166oCI>Y^zA^4PAQsQ;{57}vcJc4Ln2^CtVxv=5M%pSmXpt2*B*EQ7O@oAgJP zDy}!?9vpsv6ap5ffAn`4^rYdaf!ICCSv589*0e4B-upy}uyfL?AKO$XoXfuv3R={@ zo&U2_y27{UNrw?#hfWj3(Eg6KnpT-HgAR8)CED3x$8Gw6J&CtNS}!=r`qlfK@HX8` zntR`V!0HpgC~h~+bpSKWu&WMDpRD=oaQnj#k!?~f~Lw9;n6s?FNkpNEWRLvN3~^7|N)1lDo9-+pEAfm5s- zyE8M#6hjSGel&L9aZ>o8`-727)~v`38*z2%^iJyu*iPHpKXvXIpM+C;o?Gr8QSCkX z#iHEVhRqN5eqCMCs-Lju-37N+Ao(MkQW`HMQ17`zJwM$99cs`^mi?f(Tbd{Pd6WBM zo-w}Ir9%<**CI?SMT;2-Pct=e-sR4Y<^#b4OWb&KbYP19#-u@A8$N1cf7Ny$A$7L} zMt9xS*Ih?{{k(RsYSo+lZpW4lD+YsJNOOpY~F>bt9G;jof39`v=-!z<{nCSzJOc2_6U%E((XeLOG{~{t8&jK3h774e+x%n+}x#Z6zT1a zwR8G0%Y`Pt4vIF~dUEcnHK)6MmdS>2mgu)odVOuXq1mi|y6k!MPU9~(__%M}y-fky zFjr|8I08t7U0ngkl!KHBKplgi)(X!|IJ1{OPhA9 z{?PxT98;P6>oPMalpNnmJn2vVvcB!&lm`!fMBK`cf4!;GzT3^V&?j`-ck%3<`AbuO ztRH{tK=u$VJ5*?(ijTnh5A2;?=Dl2d>=<(=eBhNo`i>o3J&e{5{_nD2+|yBwdXN2Y z-9lThRa2Mj{@Q}SYVF|Puy>O^aD|cM3tN9q9&_$r=ok~e@~^@%=SSJ%L7K-Wf%p2% zw>J7?P>6h|i?vuYVD_vS?aRm|ckSL5YbQmnkKQur0Q+{6&0XG~yVvH#OSPQ!38=k$ zbJU{u=DCbyW$Rk=%KxgCMcpn=T~uRVg4Rv1{&H|#OW@T#aM&sQE&rMR2O=Ypt0&&t zn`u`0WnnFqbs`X2^tJMA^g7{*y`8S?8S}cfPrzZq$(5)eRbW$kVd=$CUn)S~}l!o}23UPsgtdpvhUY)Z|s$q>7m>{Nt>?cJ_0} z?d;z+zO#I6@+I+v^r=tn?0fMZt1hxF^INVTzT{K>5c)cQ<<3)gr>)#K>aIKYJ80vl zze+td|B)WIdMcKIUVc1w;B3!HjjA`_Q>UHS+~Cx(pa!M*rJbaEs`*`?l z|4+lmFZmbq3Jt#Tce{zXmtFZwPoIsD_W?)0IJ2=?tLXtfW?%CsM)|_pjlIh=Mw|*@ zz~k4PIB6A~q|#>ScCPKS^VgTIjavrwd~o|YuE(X&z!Y(7w~MZ6hl6vr2@MqQuv3q# z;;l$!JqiYU&E0uQG8!hf^-Iu)AF`OVoWcimh2GKMF0cu+UYJ2))?Jos=JxLQTsT0UcSLs+$TSz;A+LF!u*+1IDYS+h{r zui&E3)(_5z82I@bQ9_tm?*M9qHW((I0K(nc1rkx3P3MMs>H>XxMLpMP$hO{)@ zQ#-n-S7G=4J$Q9jEmL=1=^p%I|Lh84Q`^QP)Bmkr_zCj^qARCdH1k)U^LU56n6!N4AFi+MXIOR3w)4YV(*Avp_kRAcZ(ZW+dKYijgJm;@6JH8` zUfho;o_eghCK>811gu<5p*H#J*T--Fh3x=xy3Swv?Dd~!1Mc0R_PhD z&$0CrF#QLfHw4MQ-mJscT`TL_>mZAVH`Y&lwnLTYJbupY_v=-UwPstVP1Zjwl8>u1 zUFQC^9`(|-_~MifZx{X6x-e?|QH>G>?v!kpSra|-Fa-ah+Bn}|O%0b)x0LqQj*CC- zeaW0Vzrp!_fg68z-vFNi+dEmR-+dXhYTw3*r`mIAlX3rO+*7--7Y>lGr2gYvw*J)@ z#JIMl)A1~@-`i2kJFWTl!@-k_0*DpFenj_AoV_Pp-tnELjp%h>ViS+)-hbP<=i3d> z52Ih7nY`%VCQq7eo=~0kus_jkG87JX+LyhzrK7Uux5CY)v7W3QKr}K<+17HMY}gmO81lp@dwu3gO7UrqFCK{r?F6?RxN*S#*~`I06FRl3&Nw2XjXjlS;nRT^jg%145ghnJp5$ZrAZb2f!Wd_3KynD zQ@!q7?HaC>JiX(x4&?q)%#_^7FznpjDkio4pZ&>jpv8Hj@%Ih0%iR?|>CTVyQ?5fF z9;z=6z1ryWxnkde3GaV zq<8!k)7c+JY-7Xs9s#`GQ@|bQv1)>Nh~U2R(4)&72KmPg9XCS<&BmWy@#s>gTijm> zx*7PGZI*MU{PN|(=@YAlukbfIKxjm7GG*z_`_t^R4v-D%rz2WytsL%t?KpPnPYWDM zn!P${6uni45$C%$yeD~lhPYtMHTJook98jo8+`pH#e71p8QhMcnY!!YivK>#tH8Ra zfsHfB|NYKh*h4Hmu9}os$DaR5ajkEtxM$-b(Aud}tiJ`V$7D@@VsmY|PNy0w4s_bz z)Ua*0a{QIMZ$ca_t?Rk9$}jz#Q;yzkcyD9R!NaOs+svk|eS(Wjgv|g-sPFd-#l0Q= z`rGPXQ}ADD_k&IUZ2n-s?3!U|VqEL+Oya53;kvrso{1YmSw1%9X$H^qV-ku_LV7^ffXd^cm$h6T^}&(cksY%xstj>^ma&NPkMb`SbDEPQ>gl z3#`BNCXeez{Ckl%yXN)U+lKk=L(fRSSz^#ahYJ2?G0M>C%n{)mh1Gmy;#A;+8@~ND zovE6b@pp1y#u4w8(&wGR4LxRQd$e@CI(`)X$KBe~4V@21kL>=&y0Y)v#z!A*_ICB1 zM!uNcBk=mwM_sjxM0;b(iL(BlbWw=j1xw(cU2^mf%$Po^NmJg3qrY1Qu8D8iGWNdV zdVBQz!=Jm;Cf{1E9#@lCO=|6$w0H)3+oS@1MrXxC%r{hnPxh0C`hrttZ%^XC&Ch0Aq;eztb?wtJ_Dh4>&93cYdUxgO(CCj!EO8o076Y$2wU*&e%C?UE(0B`O|K_KE zx41i-@oZ73wpac*^vHg~#C2ECNG;nJxz35({hVF@;kD$=&>>UgvxmOUn!)3qG)ndI z{s-k0hOb?I^&>oE)K$Zve`n`GZ8;M`7X*}QSJo^{{-Lt_@ZFXZib(GK{<(Qe3w{)Xxw z2*bR)utmQqqP=@Bfz(FodR%-@X!Le8aLmkub?S_}X62a;lja?XRKLwggALQetixTl zQa>NrA$q^fKpieqJ>MXGKeE>r$UuCb9r(}BAPd(vdbH)L3M^B=o zcK_0hcPHWdS@U--eDHCSp~@Rymszs`{9!J9*5n83cDD~x_N^PU^;7RZCA=lAzwViF zdhsZXWzyoAYQ+(DiQDsy`0B*ZO}4)Fn0kb1cW3w8ty%WH@w;)%k?Y?)n{Vs5;MSJz z+GdSvS^|E%1>PrbifPig@%*!n#*IF64-4Cjy5d+d8%|t3^>I)8l^0m?SoWeSX72j0 z{DsJK=w6Q&f8E^q?BBJ%PG2@}`n|=C*QZLqy9;t`?YhBQ>D9e|j4P*CVIlXv&DasVww>U9Hh&)Ndp`{jok&dh5enS$H< z?U6xkHV{@_AHVtc#o#~x(1F?>9`rk_^Z06uITPL>KESKLQ_*+YP3T;qbEenD7Ib{t z=M3%IzAKxXq-LD{<=-)%&K4(mA zYC#p5tCJ=|XfV*C3nfpVS(7bSCfs=0t%Nj1R^Obh=yL0qjjcHBz55&kP8_S-ysYyW zEJC&@dXwL_H2!jMB{=gZ`L|E)9-01TUcxY%K6c)H_UuQczj}1ch5P$=XSR=wtvp_f zINi04quaXfyH=h){sN)obYZPOf3=bJmCtM#=vxw-RlPcKS?5_>R&G5vaE+q0b3&)F zl@CwG1wB|MwB_GjA(Ss;XVDi-C!E2L`n0M2{+VsBwRFzGoF0_AHm-+DYoESRH5#vu zyk33ulb{O%+^#vZk#|h(%sYurjyt+Wp^5*!OL#~9aQoA?lb3#C9M*HU7FdmEpS$m9 zbCi2#V~k>lZ>at=yGHp}{yO+$e8v>ln6G&sc#G6%T6yGN$IeB@*ba&lU@dUl3gke` zDbUXG&nzo-NYY{OX6`A^pbJYaWa+d>Z%gr&deOmW=gW(3u3q%&Ikn=2<0c2QA)nU?Vva zdEZeww_7XZ@LkLU9rqnL1>c1GP%JgI+@@77HJ=uq*7|l}cI)}aLvOyUuo1pLE}>>$ zKkzPY0%?lBpL-6)ELtM8eE!FBialMv?RU+=h+DA|^l8B8E1SC$#9v1bX=SyIo8G-c z?>X4l>&8x+GsdX%RQD~N0RF`(9tS+V19gOq>rvNVIo>y})e&QF#oXh>Id`@+S(<6y zbEfihA^q!<+R$Qikb$Yo%ssaD{UrzQ1Ov|gwHMtu>z4x^n*?_U9Jfg=+kX3bDk6UW zb~C>JUQBW#h~v$l47=-Axv zuTLDQ>fRhVG;t^51#jow*~fwg>g8A8yjnk>HHNxl`1d-{!26u*fNCjOc|4=XjYosFKAGHMlZTi;Tx%Qh zp!Vymcb+G$YrkLqoU5%?zHYhxWI*o4j$M5>emHd<_wL)3krP_gUcs-ub+}b^-W$;@!DNzv4ek>{i`I z{W-(lTu9zo-_3XZCH}le=#0+VK7P zH(A}hC*QYyyU@hidfd<5yU-~wpYGn&#M@=WzsG*v^z+Wx%Ps%rTJL0T-rWDf{W=jpLawa9-jZA z<&Ld8LUnVW!8Y=CeVsRw_VbJGbGvdWUv9tD)l?mJ+sA(oEt~vd;&%G$y_3K9^l+H? z0e2owK6NH|=4EA2muQzd_ici=kE<1q!TP@V!}6X3*X;S;{NlSWo^QLJ6n=WWj5FYB z1C$Z=c5}PcRXJzrLC+fGJJ0shPwb;R?AUW-L8!I0ZsXOOqhIGeD*W`muJ%!(=}PUj z+Jkc@Y37{2gWU{$*Xpk4El)m20L35szUgek;>Kh4t&MNUZVvczrTLY~vXkG78`>Rx zzURrrz4T%Y+WW5AkT=by|99sGy=CAMU{JML^yNbZy- z@91@BJ?+k^AHAH>X#Qc0YLH#-4dg){aDf zi1oZe9?fywTtDUN(!$DI=Nq|$PbLH}p^2*HPkz|=vCo(H@O7s=Uq1D|dgsXc0W+q2 zT*b(~gFi3VpwH7LP;{?fReMgq+E7{SRJ`2d;tI#qJ$PULmb??-=L3GPrT>dr@S?}T zh27RpuX(k+G5YZ9C*hTpx=+u~P8{5i@-Ex(`x3_xbDxT}}ko;{;ItUldm4UYHAe!DoK%ctt&!#xga|7)qkbf33{Q1|lf9&?{S^7j>& zc(iSkuJ!$L=`0Khk1$vmChCRQRbwT>LZ7KdicHn*mQ%x8Fg!~O}TXHmavb_nj0fyZJIc4 z-9ITB;c5O)@A#X&HVl0a+^?yzctN1OzugiNTwcq9m~+*$-Vs9FHDLI+6FZJP`~CwS zvEkzkL6Zg@rl@skrXcuVixVqe=iq3+JXM-MK2x$tDj_MS^Oeedz|b79M%Ub;KwRLAxA)?J!d zQ#XER7Pl*{3z5FpI=+wlbmt9`>h0C->b3s7oxY9RUTvLo{lKL&!L{kRpZhSnE&aM{ z?)s~Q2Uh|gF1-KTdE4gi=ocC6Kg;Iysr>aT^R!{k!$rr-)=pdhc5SuvEiZlk$oo~z zTVZ>v+_B`s<6%9|b{kO2O_>PlG$X&HVYmOeew;CJNkd}O7au*}hVl;0_;*P|+7vvv z_l(X<8+M(cTiOsXB@6D-XdLh8jNH z_lUU(@BQ%DwYv6k;^wPWwWVP{(|8lQZ=3k!-H@)!V1Erbbn?}0`gq>YiWzSt>)+PV zy54U(|9>j0{rYE+rj4saI`MxMmn;axYZ(EzKLwLyctWO34aq=dXhk$wu>`Y*Ku%my z13X?jqfp8Ql~{>FN);*MG;Pm|+8$2!r?`;aI{<_QG=- zCNQkF@clGyD(xd-v`lHf%C|_ETm~HN(N$zrk4(&A_!1EanD4eEZ9tlkPjliy#TX$^ zlfoyfx4I_OD>7UAQM~6)$x5=hJcJoa`FXl6k3$@g$N;`!~E&<6f zxK#it2TegMAIB17H_FGt!2!62O+=x6nus-! zw}+r8En1+8$E^t*ry@ZFWdxdyOA4rydM!?^mJ=c1d`5`DTBBloh*Gqs;IIOzNQ^s_ zghVOtC|fCsj2OjovQyHy!K5L=^t!Z;g{q=T7!u0j8)a zxCV$P1Y%}eIU>vv&55i8ro|!LLWL#?()#o|69BGC+Nw;JI16A4TtO1XiiR2aKBqY2 z_ez5)fWyiVV&fX9H6@UliFRNjRnQysf-p>CU@@6`iim4rhyuidMMu;~7(p~T%K(?T z7!;C8)ybn#8aC&TF;g_V!AbT*&1?;crLfazyZ|l_V(P>Jlw8M#BdW%LKZHbQ1PnRc z4dyGI?1YRXNXWhEf|h|TW|$hh5b7|? z{2VJ<1~gH1T6m5~O6%OJM1l+@IGAvKlHojJ1UBk1Km+<{22B(Dvb0hZ07z9F&L9Muq{B;jWgyMd z@bdE1RAq6XoB@d@yZh|dBN8u0w3LIE) zI3yOI9TPF9az2NOP?4i7ez7uHsmkdRcv)g{Wyns5M?q8(lQ3l(XJzo}d#1W1x7*5& zq!*3%AoUC?gbxFWF-isANHw}#1Ps7PEhBPLm|77Jq8$z$%AStMm~4QJ1p!KA@;p^Z zRK<}QN}Q}=WJqQf(hX;$fpC=?=)?zO0H2Z#sd|DXP8^2<#j++O1|r6TN_nR-O3K+|$`*H?2 z55N|gMG{zw#WscQD2h}mW@SleREll^xN~_tH4u_SiE>)WZNWnUW>Sa{t;&sfle3%_ zW>i*>&S5mi!$ucg5f;TOkZ?d%mP0HKCd~*)%kfBD2my7Htr(8p43EU61{J|YwbI~L zr9)bY7+_2=B`72c&?unFr#FkuAgbJ101D+!mPcPCaaF-IAS??yD7t+8Nh;zh87xVx z(&++~QR~3-kmN`lBqQ>n~t*7q1dp-5-!ioxKIce!;wV9oT#{&S|NJHAwdD+fVs`(l3M8lc*9sHjH%%ui*^D^ zD@NjTiY&`v^Kgh3pcX}~>V+n)!V_d_HFlti3{a7M2$-A$*TjeI)i2`lmr2XGr0s_0xzUOl@!V(R{FGZXo#QWWX0ta$V!pO zz%Uj{nk$7Z3~H>*awcN{1fGKuhb&?WnIQ5yTm(S|2~_4)JYW!C)ys@Rg~uF?hNxUJ z6Q(S%(Ij>_Q}SE*AU3)nvcPa`6wwk&XQMfo(X58?3;aP=7{;@IkFN);J7(J5I12=b7N(Y6w1moggz?5nhaZ^Zb66^ zhT1$;0*b)Z^Qb|POQ~TR9JZ`GM)1Q(1(mE4kHL}!Zh)Ok5oiG!BqpPC9XVCNpfC#M zR&a(8qWdshZ#opk0^E3$J}Qle5;(aUixApbx{8{Bb47rFuu$d^fpa(;+ZeC+i(0Lr zcv$7i*hOfC*JY{}-5honTK2QTL2-%Vhf3o-kP{FGBXe=0hL_6VV|unDixt9XIgW(| zNoRHFl0%7i<$%OgRtsSzqba%@uV5tj<)k#Cr04`Lp0WU@qH%I2MUc!AL$m-_Y7FPy zI+-^{E5QIfy%q~IbR;xa`9pp$Fy;Y`)*%N~CzvVLO({2&v6pn;ikC@)2HYjHaw|;cSf8WGzY48XS$_b0kd+QYvNlvBCII z#tt;%l2oi*hoLD0GO`C?2_)T|m>(sE1#JYV1fJJ;IX0BrA7J7|6uKp93(A=~cfQ1y zn}PE&g&;erNPu&gM2waLB`cy3O9ZWAxi||NrTTFqgFDbFladQYRB*tGRFxw$(CoOy;4GlSKCW8jO|r0F zI*_b&Yluj(&t_+8Q+ZkuVZ-tRYCGN!5%PVapwg04=bU~S*@(CC6vPC|1*mYSE@8F8 zig8>jqT5XO7XlP;p6kfKqil=IsKZK9%xD%KaPrVFOfD%1194zlIK`vni*yCB;v=JE ze2#-tC=<1DHVP8r!h$9(E@H}LRYkE0K$ek-HewKqK^wW5dhlr#5pz}(It`&9@U;5= zWY+mPv~1O#(nRcRfJR=?8USV<#4Tbeie!KZTIQPrLM76i3z*z6oY@b|`H)mZEU1Uj z?ND6OLZL&9j1odI$xFT^j3s+vC0r3#;H_7ox?zcxfX{6!^IY>51*D0FEJUVZTl~7RBOC$B#Tcl?%O?r#B~1p+q2^3U2pHnc74*6s z5REkikczU{BPpkZFp*tdtsjagpVMBz^MG!?A4BC6?1ln_4X>x(-5iCi3(r2YnP0@Y(3?)FGN#(Ul zvsuj~8&D)N1E)uDv5ag)z#+fW;e5=|CWpKjb0H*!d#2o`rG9Xf-FA zFB=v9gpHoZhC&&>kcdpW!w9omS*!%5Shd^bX1Q4!e#DW{3KB(gF%O7lI7~TL1&f$V zXr~;DQ%K8DX*j0xQi~-#pFJdK8K%g>OwG|XxU0wt!g@7WY9Bg(9vt}_y z;AFF0M2^ks$=i!cVm;a?DU_Kqz?N60g#`v3jLbS%)&xh%iIc=R>_aSC0qp6?E%|~1h&*x71qB$3)CawV7V_L z$eK|MCs~wrLoHe=G3v}&Bo#>(gDoVqY(v!GgN9);X0X6z+PreA4+#&)B3Vexn}eXU zDzmRIJky)kP^vZ7%(hWuB#=b0Wfwpc{kdaN`)AyB-u^ zoeEtZna^<&kdnnsCPsx`4V_v-@!|3^T!2kLxgMsODG!ITRKL-PLSV5;Jc$KSC(}r$ z&7z@J5q6c4YER3HRVYL48G;)F~*W;_%jqL?I?N$ioy zVqS?`9nrYprKGWnDFBl~G}mlF13)~ZCz6no-2qgnn9!*plDO084ZwqY;uLhCa}m+9*%{z@?a60EfptonL;9f;TCc$vJ{goGm?0IP=Ld% zu!G2iyby(AF!iKaMaxFjf}o@dV{wZVnOaK$5$WF4YWKPVe#^Qj! zXpVslDlqnZ41_hZ;yIn01JH#_CaJ(iO)Cu^HrQiH1Tub&-B^z;3?)#-9dbKWHeQ8o z$0cLnw6qN4q-1zJwitvExK3)uZ4#tqp`gE-;%f1EH(ck@TXNnI-w0876m$gJVrM9r z#2DX#^vlG|G7OUktNcn6%u05_>@v0rh79YW875nY)k!#Vk2M_-t05kY+8SjzSSf2M zhlpknE*VDxqC(5a08Ho1aW!BKDOBMnJXUffNG_?(R-mF6hmR77PKHI!TBTDtX?E4c{r*H08f%491NxcFGxA#9&oT4=Wtniy@_mg zaQy+87F_T~a6&i&g0rR-Af^PKW2PWt0fyt|$3!v=)1mSJLCO*eQJ~rQAd^UsaO1to zI6eVznr!%DoJx=D;^Z`0M=65{|H% z<6)dZm?-HEC}a+ekFkcX=Jr z#V)I14jj5lFAz)#JwFo^0$ox^>!w$m`f)W|e%}HH0ID}{=AHYf!SPF-%~1G&lgHQWQaingGI^$%*w=Z+*!nJlH@c zlJulmVv`_hwRsX)J>STo$|!P?C&*#tISN!rjda2#;Icy_GbSv4c03z3N$?PmgkT5- zlzwnYjqrkuoVO1w6=0P&!#^paSQGRzk^m*{4fJ@mVsTE4I53 zLR_2$5G4erf?X#^LW)|cKF8*yEr5ud>&ZiSd7u#)vhs`^SQu#`xb+N=g@&T&3@Q== zsWQ;21%(Of%V7*qrQd1+M8nBUOc6~b#JYM;phBgQ8FC84H-_*SNYw3%^Bfp>qyX@j zUn$v}j!mVD6 z)a_xxC_+{tz}35}b{$Vr(E6ORAWO~-VYp!^%nVV70g(iWoy_BOIZj#=1_PC1te@?X zIZG*}xonMPQCwme>(VO{Qa^!a2;<>;8&UxS1q^y$l7d!aMTLSHqDx|QUK+u~(MOdb zq^xL-06E1B&yEga@)e;)=Zrh5_z(<5u16IxK!TV`1+i>o*zKjDFy43q90wM&QC%TH zK>~z63zjETs?DOJ%n0Mz<@sp+)&>VMNPWJ7z!V~2v>>O?fDU_9vK$X#&PkkVb-f70 zNHd5aXbhdqK=ppN0*6tsNGRrcz*ZZjN;HNOe03n0!HeK>d07ur zdDvzZM(PPL{o!JfR$U6i5I-fkOqG+*Sr1BQytb^;Cgh@WCT6uRP>47-Vcy7AGPHoGJ>Y%Fkf1yadFO z#w)M|2o)wQ8=*>8LV__txo}8XP?SO77(z@yVma#d0D>hA7c+PzD-{|+JIWdzoT8v= zi*%-dtK}4MFoFZZh@>MvtoD1sn)b&m!UUvI^t?nKC(2 z6@iq7g(XagR!<2*Y^f(G2EWrp8i@W)~lv&ornX@hs0z)zMyb3xE6mgZw(@%d7v0;Lkg&Hg+$2D2|OuL z$Wo@q^idWo81XVhNh(Y!k>aq$WZCA`=Ti!?!08R=HA-Y$3wNVw`IJ}7fWnL+W00kB zVd*)RP6ttW+%{EQQxO@IRg5AM_L)3dA`of`f>U{`QzAo>Ih8yNV`k78YI0O&G~k#p zM9u-psx4TjJ)HK`VBUT#|)dI#-zq|n>Alynw7sgvv5(J4WNuaQyiZ*Cb z1UPUeDHsm0oH8BWLDV1;B%C)S=4(|hm`%Vg8K86xUQtwpvh^4QA(O^PQeiHGjUWsb zx7nv>@xmDiC5u4-{m~-9oCnxk@Q9xhvZKhtMA4McRwE=f3Cy+8r7o&dO%G}1un>|) zR+h~MjiJo)p_F<&%0`4$B79N8q99`VekR6?RGE_*k`u`iKx1N^Ur5PtrA#fkz+@9y z2!^wOEa;%6tTu{KrGZ|oG?R!ra>aB+9+E=6Ku5OdRYu9MvLkAwRaGh`G^|HqvI!+# zPr<_SId6bK&qnZUzMjg>m*WVQNS8vyQhr4`M1X?G7NFjs!oZ+>kKCsXczN&)Mg%vw zq7DX{pr%A!T!!Bz;Iq+DjYJQsFIB16FD`NMaN7T)>s@*k1p8>ewCS)pgAO`4qY7R? z<*EXTiWd|WynrYua#H~jR74$gw1=Jd44NkW0G&7Om*}VIwC9|p&wJh`?c1dDot`$e(PE0>p1RLUf z(@M4>ik3@15jPiMb<*K`gmae01AO|u{BiROvSP0DgSy!n2c~;&HlFw%H_w5G=09oe zd@ot^D<{58yI+Jy*N*+t_{uA*Z(3HxSvgXR_A2qTfgFc%r#jfiK9x~kOIcsl>^8Z* zSRTKfW4=yqPAlx?NQFCx1RPkxP4{#Sh`_WRLFf|l0%9`~i)q8UrXwwI2d2*L1l(!0gPL*o$6U3HFRsp3*lM@IN`~??RtaQ@w~w@@OogOjRP3N| z{gSHDoiI;vI8MP$`IJU^RT}MdP5^(g^Y=^6M#H6vEtWz;j%31ZJUpCz+A)Yi-2Zg4 zQ|t^r4{R4uroVg~1l(MV=Uk2I5lbm(O7RA~0k7Ni*R^vY)d#&hSaAqs%9ncueN@Zp z;f(T6t>&VvzvA?|Pu0RQ8=Rk)Nh+#^*57aWoTNVSI@ik)x@5#MrT56=nnk4j4o=0v zu0yA0FE+*}6@Q2=uOqpyqe@sBJ+w;(H%TjHgc6hIL6_r2)bshWv|48F zVOWI|;XjkU!MB&r&MwqFODI@*B2@(mtcO^EyczzBAW9 zU0qbiIYjqg=KalN`)QLg%z`a!`O!YKEQLMPN9*IJ9a2_9DJ+{yO`ji90j%oxguX#? zINiQlOrBQQ%4aj3?e6WYwbZ-*Rxhh&@9$E2Uhhp&Ene>_6)egNV}W2AE#Ax)M>S>` zJDaHZpil<-oDB_&yA@*awIYshvzaO<&?)bf3N6*0I(fU_pX$_nNC>UpkUOWrd3BX2 zoh-dit=1l^pB1^XHqfc59jfws-V%~RZ}F$a8+}7s_1fpOhrq;+2D?USfwXqQ?IK9G zVsLzC!#Xstvy*q8_U}L%gT>xrS4)&0Q(GHd!Y?&c#f~(Ser7xtt|o+VsdvXu)*ru~ z{^@!LPVs)Tr%2j|l+C<0LQAcxQx9x|$KHR9u0$6JcWJk!#;DcUu(5sYxHqc!EM#pj zInwa1bLc&G&k=aCQt$Q?D6z4)%z>G7ZUm@!H`(*;;YVG}?hGS{)mG!={lnYI9P^A1 zJFNz3e4YMoB_Pf0GfGAY>L9|pwqRU3QWk&QL;Hb4`N8gkGOdnRRdW6o-jcz`P)E?t zC06+z#|t{|T^bn!)P*JWJ!TgapMk4HXYZZd_iIaVWt}T&O^8ap*)SYwA|CA?PX}IP zBU16YQW2}J`opl4VcPqEx2iHUoZga*DmMQJFpMm7V%q2*Q*EDbtZUYp-v-P$+(?pt zWt7)u{CLMlHGGwD)y1i;cR$=AbdnU7&-cNeAEb7*!ioJ~kKO6RTZWyF>JjHQl)0Rs z&*_(aYEubLIy`jykqP#wW^`cuoY#=&@e%qbPiGR>YbvmhmsBih?65{Q)Yrn|k~h;K zPYidsoS9Hxn@^ffr+R&%+2>%-`r`pHEcCrsJie;Hws)V&ZZI6eBkZl zKh`PPAKV0tPP=l(pR7z7PQ&)fCnZ{})gF_8$A-7js?mJ3k1Krqkw!BMyH1WJ?67?E zT`_vF5bUo$6?dG+Gw#+zyC3{zj*8?NOVq+Od{ymE?bFe_mC6LaJ!5qwbV>_!T8R%j zkSIsQxAvL;5C6yEKl`u$-G6oe_kT3`FEH7;zy~66B7*X)vwDI->TYV;fyq!d-6*G9 z@|NnKlcPprI|o|@SVER{DVX|P%5k@{7ECs@@MuDYG`_IK79tAcJ6nto7BWD;TlNfb zNrAjhE_`1&N4|fj(?4c-%_{w+!;czy)FW@hsi|=Ic~(Bpuv-53F}reav&Hw5VEIYW z+uCFbBShXm<`%hWcBFZZM*tu24ezl4FK%hPIAzlIo6S~xZ#E!$#3eNk>;_e8zk{t3 z54wh4-D_>k3HF%Hr{6zIH5EG(wVE*!MbSK2(-C(1ex+gOHIwkihxgZ<2tI125R^Yw z;qeZYFS=4~xkZ;d&1MtZu9WbjVc!vuoX6WwbbP(~Pn-?{V*Je-kwN&W2z{3Rbo!Zh z`aOAD=v@zLkW@V)tmFS59GK)Dsrd#^z*%)$#++)!cU6%wTizW-|f(Ce9) zwV5lx>v=T^fbFp9;b|;ig;16aeo%hr2x*Z(iEP?hy1KmH9fZbpyk0&%qNFu6&I5z@ zkw8bZdUW@2y$^!qM_&3S1i^Fd zKr%fB->#uhQD@5Oc^=?9kzE}o2W_UZZFYfa8=Jd@)=^Moug@BQ{%H6jUq}4S+grmArmJs1()CiR$Jls+L-X$p z>|Yfy$UU>&vK;>Q*xx#TXWOKsUBHt=bfvYQ&K?J+q^A#rD zGcV*$1ijMs)s3Q!)9k#Et^a@ubQ{di9$POLXmEjyZK-54>}}nY59MtYa$=#ez;LT7 z)2(P^y&;WGxY>Qm{(Z@0!XVSGfLbdztJl+?sW$j5w=c|ji@EwOPoVlC64aiw%x1-H z$WnqPSn-(~7#_n!o7#Q9BA(4ft_#n+lN9dZ+gw%Y>91F`YCuY^EUzD=wz@Wkp<0+0 zXrnx3)lR;uB3`oJ{}t(3>&V5wvVu<@8Xnn-C-5d-CZoi0jP!bMakh}Z7+uI(W*c_i z4P4zls>^N?(^KTvBdT7_UEO_SUb+8zV4m=bNAoM!XWH6_cQjo8+LNLRN2}-bH6|u3 z+Fz#7uuptF8*3QIUo$>4#;SWGr1M||?))3`F!RPbzBejnK_RCC0O*Q~E#^&uEHP`S zbs&Q$mm1>AZ5S7AE~lpGXSh+Y%D$qp?OG+w31PkL=RdUW97jq#?)gcAE+4U1Ownz~Uk8Y`oQqbZ&9U})rHiJp#P zzdD>C-pb7T^Y&8vW2w;Z`iqmhXWAsC+hb+mGf9se;-pN_hh!5-f&Tury4Xp>%TbA;>&(_wRtN#Kxfxo$ zdHd~M>-0-#;v*x#GVge%w^($4At$X@gBiEj!jNf}G*aeUR+#n&t-I&WAI`H$M3UTp zq+KX5;(Y_N+sp&G(FfG57TDJ$^0@?znEj}}T~?sg-0U~XYD*bAAM>@-!tMMMy%$61 zY2^d~ps_JMrcVCfZm8^f>83o&i-K^xF3^gQ>C*F~L}dV07Sl~AH=b8X;+_@S`$1}3 z2%%E)Sa_Z-rCw5nu9Mkl)9~8Z&B+?c zRcSwtzxTUrG}I;XH-gHwW)ZQ5M5`2iFYjeLdX8@kH)+XMP`Vz1a}ep^*o*Yh2zqdZRN-_7e>bX*$V ziU+J#OYXSO#y9#X(?6(uNTO8bVfO>n@jxC-E9ta=98GR#*Sjohbd|dOND4>-^H0fX7L6T7oYez7-_~D*!d4 z)NA`A?PLx9`0Y|-Ub6O`9o}3UFKMb5?A0jkV;EcNemq0>=H`Y=g(n zcKBU+WE}^qu#eOZea5;{_D(vij-T4rcktHB59CU*HAbiEW1Wt=0aKDTYEydZ%t9AC^-#92^^V`D^oAZExUTwuV4G!!SAnjamnztYIxjY^BEpIC z2Y^HEUiAYYa>n9?S-S^-VpxB=_w^-Nmr5&VOV?wulBYv8gF0&|uKp;i-y#oHs8YDl_qn*L@`Y!xyR#8B ze!j%|_>Dwcf;293ZPr&0MUfo22OU@E`TE*?4ba`O7%&Xcp3YRjlNk=kv#bbzH{vSN zAoMoXKTVm;hPQ%syJpSauB!SsoZFU)>hvi&3EtLe(>Grm%TQ-%DokHJk5qwee2q@@_0!c z`q`!xEttQ3D<35<$2*R?RU01H>`^p4SKSiy-WPJ_xG7;#Y|NDdrh~CyyFapA?=tCf zC$1^J>d6jVw{L3Sb3VuVE!KhU>=xH{u`#+0x@`8dYeF90$5^>N`pGC+pN+q9LYV;f zrK6E_u)2f4BMohThf#UqUMC0n0c_9HAjxui|NW}K>a-lSHOI;Rui>8>WlK4VCfU~>fGIIW1#s~V(oR~82^^eI`7KTTZ>w8-3%n~ zuFxw~vP{ThFZnl@o9{6lbYCVW#*5%pd^!DI>2w;-gEmq|S`;8Ck=FYL-DgQyE>$o1 z_VUjI?0@=i|Knf#U$~#|qZ_TDR$6|O$}T2WNc|)m{XD+P${4GswjUKgxqn={T?c&e z&m~-I_AkAy8|-gfft!fl>eyaNa1*=2v*o5Ut8T{^W#o=OP~8@9YSTK+_5EbZs~cnu zFzH7BFSV+MH$Ti6cet*M`m?1B!_MLNm21djJ)0GkNtRt- zeL!@erN736H7<$h{$2Q`9*${b`=H9>l{GmaEFE8CdAFQF z!a(mQ&vbQ`hV7D&C$ffS)UU~}rWLzLQ^0?M=BGNwZZvYjS)#&;TdF{@2(mbD>t^-P z5)jr8|AxKqB85B=+eLe^&WR=A@F^H894@S#KFmwp@WZ0 zt<6X0&uyF|YwZ)L+Qv8Pls-vrZg%&j<=Pysq{3~4&xg}j1J)Qryb*58v1Zq~@uSi4 z_QfAx(K4+VOVh0EDiSdGju`uZ9Z?*m+J~k%9JKR%VI6cHiuX6MHzAb|vCRo+x_|uy-4Sc+r?u4*soN$3K>h*9G z-s9b2Fae70LThg)tx<=O~p$`)CRw+GSQ7I&X5>UsIAJf|8muR50C-@ z)0+ld^w%FBGTpq8Mo6>hNOIn0y98POPUg#Z#iapDBn5(biP+DJ(%Qu zcQ&in-+tavV7ZI;-hkFPv3?r^=T$tU?V)_9HMca#dsx3*>_tI4d8=Lh?F*Jkc9X$G z7M^le(t3r_QrZ_;5R}rRam2xln1i*S6Xjh-CLPZGYV+ z@)|Bs8~fX*aXpSz2-)yNbWJ+d@wRI&Qf<+g+^n?XMrIhj6zJ*1NWEMw6gK!xkkh00 zrF?43p|7;;ogiJH-)?xhA51zKxRjQC1{>|Y!-qDWR_@NszpBrE(Rq5-ZF0W8Q?G8f-s3SmESXXbuM4a7vjPZhUZZ-ZO8ocO)FkLePAv#2-VVP zVHSI}?w|8Q08f@|&LpF5rt3_4ZkzC`n^6!owAgo9^;<(<@3Ti=)Nhf*FV()kj}KeU#D-scb{U7+ga-CtEPS$$;uV;+J#24O}Rb32tUMQJzqJ`0D8U3 z406^!N*Nk@1YGBQeliFu@LW<;7BEk;BASD!(k+!oTSR?(Mw5pTRc>lQiBlb-Vj$y@wTo*yns59 za&HLfD>q6;t#|(icJ(S=aahWC2dVUdoMKaX+OxQcJmdU(&-ab+ zMG%uW*&VyXOFuG{#?dOmmF?1X@~((^ z{S{4`$AY2ovx!5&-LreILnw1w`Y3$i4+ge=HM}w>7hYSW;RR&eAdOm7akMrc2drBIlSpYP(F{9UEf_a z)JtJzHvdYhv{Jo(4SaXo4LRoDtu5Ke4KYyd{i%@Dz^>{9&7%++7gW;scZgajURky~ z-F-MO#}ns4E--kHWFW7(cxCwe7mw#V!`WklfDm2`oVIbay&Lk`xv1g!uB)N|44>_l zgI!6B?q9&Rwp(m8GZ(W*`nb6k!&OrnsUW-46&tzB_UkLvgqOO=&U{gc7vJ?y4sc#B zPRb}ITbQ%ysqCs-*m*0tx*bXHE4mk6^Wux~-*HJ6_SC5phuz!{fzWpYIV9HZ;3Rjr zdrS6|yMI@yU9%$D<;vRuCqU@Zcm~XDS*SqsbH6T0zZbdKxZ6g*z}G;$r64vGDpI<- zOWbw`vGAU$lSdwiq|~nC&9_!mfBVAhtb&P`K%4VgFYurn>@ek|i*(QM9e%JAZKjDY zmgA1M!s5>k!>e-PYuE~Knx|@t!^VktEgbUQYY%c&?t#pMe*Et00mfPNxjfnSC@)Yl zW9nG*1+m*n=aCAPYMM5Rs8#+7k7aw_Pc#cyYw*2$5NoMN{;Uc^jq&!cA6H**ueBUW z?Q?D-$IYKo4HuuukmAHqAwp4~5EP@OB+MF-MU-~6e6>$bo8+c%_rod~KGc?s2XK8l z-Kgjo#^FJ%KFZtymU{i{K$EKZ86TnzHX9KvzJb3j@%%XNpm~*L9477q&Bd9c{d%q1 zIt^@c6#Yep`l$Jp1=M&>+RdNb8d7pNIS%ysw@*~`ppW0A?96~rYbRUO!3P3O*orw2 zKl;7P4Q4@7+A^hf^Q;x&K}UNGkTlOsA(NIsUB4C!X}C$YELrIaSgt(UX3P^m+oyf> zd?)sdhWp68m41) zKwYa<r@;O$&1yb<$q-wZDKVj}Dd>2(1&=O6}631x8R;;Su_sM&NqI$Pc0 zWHn#D#(h4lmZaH4JT%i?bJ^27%s70+U}4-bl8 zVfs+R!3<G$H0Hqo2H++Po6zJGnA9!En;2e=2&=ia&7BD`+ucR@tUqiHUZ z4eIK2*z7iKucXwhfmM85ErlyjIsN%IdveI#R?I!}!;ggNfT0#_Tab#c_Fj6G7lGcl z++1OS;UdYST6J}~e#F)=f~oDY?5|7%iAOS{Z#EiIxkn$GzqSVgv1D}x1>m?et$yu6 zgA;S~F)V`@1*pRo*C30*o}~eI@E2KXAyJZ3X~1b#=`w}J=p8+~USL1FrBdryTcMZh zpucXehA$l9Maiv(*^-!+8}l^QQ#=ILRO=WJvhJIR#@y`;|k7O8|@R|X>^bd zA947e2_tBBcTTIW*b*E0qtRtcEcN&4tT*2e(vyiWwx&limDRc0PAUX=L;c?NgjaM0YR-J^ny*`C$i>2LpHsA>taUT^^=8o!Cz0yP-= z@N(g?voi&?1oi#EQk6A5Y1H+Px-dZJ2=Us8yy<-Fe6lv_4#!HeR$lghi7?aG!J3>{W??SZ>kk%z_zyMmmYd2I-=vnjJHHI%^W1&lJy z6MG-)rF2p`Ej+Px-vr5#-(r+=ZFFE8f6dX)g{t8xB3?i?0G8Xew2(&1Sii$Hyj&FO zD%<jI7Z7FJ+wD!%+SZ-7ntX_fE?SK*wA%a1NiT*?qr9EC@^cNU zA-c86xHc~b3t{BH@@pX9_#@%8=+*inQ-5WUKy7cA%XO(%JP)RU-3?{@wHufKFxPJd z3Gg`H?70RR9y3h{Iz8Ha2cj`R7Ao6dx1Qy*UyZ7!KLX=6crNcRtW)HoE~xT2@C@$6+?x@`h;9 zaYk!#yOL=snY%X*tikmE}q)&@pmSE>4*R~0pws7_q;kxS$I<>-kiGtLh)skruDv;EpseUpF-_3OuD2u&;? z@0dONtIO>DLAUSA&*-(+Q-RC(SYtX zie$Of{~4qp)$AWx%=Nf1i1a#W6e$N8dfv3$^0w2g94`CP8DG77E{tartI|c} z4mbH)(`$Iu_I+C(Sklr)^sMo@ZMsn7hi}j}m31h7t`-w~uRON{Z5i-W*|PA)>G*yY z-pt&>*8qw&xi`KW^QcPHQOw+9AKF+i7UDSiV~E*B-r3veDkRLSnYc!$S?E znTC!D|9;+Pk+M^HUGZip$SwT#U4w&yXrRb{>dbrqLYga6t0MM!ok5Jhl4baF*nExK zd9$KN)6#o;)vZ>eWhlO)wcu4>Qi7g)UjVF||2XLgH(B9*IQ8s+6C*2xUTJI7ypYT@ zn2rg?mPKPk3KcwG4lSU`@K8FbuZr`_WYX^Z?LWKKu8FJ> zw;hZqmA;r?-9wPFKOZ;6Hb;1VGMHQ2yK&!3E`4f%;78^0)#Z7=<8CHgGnw?2LC4*V z+gBVHjT%AMpG6>NFgJ(*VwFH1L>6t2s7=-t{-|;Zs`fk8-Xc;<9@@F=Zs(RvHr+NE zTS2dOZixJJRPL)^qVit%Q;Y%nDbw;d&8v4)S-5-;Sp9uO>u%MHfU|w1@AB*13;_^= zJ)-!K1dxK#P~FX z74db?04^510ah*xyl#B4t_7L{pXa@l*WSDRM`#ADib zp8F%rKZ5}(h7)xHL1i|V2Sz=9&JNql0a2BIOc(lld;Hsr#rC>~uuEo{PQxA^E4OVF`Srz1D^2Wrvdj^xw3!Rp z;|@XbriPoLTUGX5Wf|Kg7#|J8=rHKP?;0wM8b zT6@66t5_X4V66bU-S6TvAjN@lkKc+J6hRlzy=blFZ`o=srXF8`Z3VikTgdP>*?V?T z!Ho-#TBmX$kG|c)^}T0kpOsD7$njBa+^wW}?-Tqn4rX=|+EuNiT-mSh2qI{3xsJS$2?SgZBjTZIWW*lCo!u`Z_VYYxELI0xg z#Cg$t{Aw_!wUHz6Op)G^NG7FAV7(IUBi}L?fzR&W7bvJDw#L^O4q*v?S+mm8Z%=hW zYr}Y0*u3f=Bf_Q4^{QD@{jT%Vx({KJX1LUskECw&)0x1yjK74(mXU01j*DU9c2 zex-a=i2G;0TNlud#-KiPr|Wlcf4TmPjgw4A#K?#s+8P;PHwGwY^oi&c6krqL&1ewn}{g&wpqa>>|0*F33+#0 zZa(x=#cqo;8>Em@g6sr(9{bfoWt)JrsebuJ_O0t@DQJmwNVZXV!M zE%`j7Mr-rMDg3Cdlx;X|r2xH7LJA+(86YBWGo*gunyX{?eqPdYuS`3`X1A0NhNQsV ztoWY(Td>Pd_>6dv?O2Y#0PcaX?~|xM>TsMSCFSpV=u`b6xxe!Dmoh|3jUYWg zA$2l6z@wURW40CGC)#V@el}e#u1hlVsCB;JM+;iNDu=~24G&hu7d1r=ekECkYIjvN zmfDw(FC+Q3tLr2z@6ldNpQfHUi+bng;4mFOL+OA(;`#iCV}}b}Pe0=t*b5JZ&pP;? zx@w}7FB~X0jC%w*d-wSB*6-lvI8_oZ3Ft`nZjy35wk z6<0ogRm$UnrGuRdvrNY;_q)pCxhwc#43CyIL+wLm+@}_QKl^mKdXj<^gHpY;BG=%st=Z?@v_W;@+-W4v(ioXiWE)5sEbr=xnvmTQg zK=hV7qPO%W*t$?BDzd7~>q-ADd#?8C-j{C~^Eh{9b``Mgo|>g5HoD*N^``9}hz{wG zSHAaa+Ra_5cdya&O}qNE*09K@yCAh{)56qDe=U}Bxb2xOKkKaHW#P0 z+%5`Yc##vlY8wM{=dfi$xoL^T6^Own-v&(k_L=N{!+uHG|9v}7&v{c_(`iutdvMv~ zJra%&7f*c8ULyCK4g3RjGrn76KBOeDY-Q{DZFxCuPjO+Wr2D7N>Bvr-?fV|l*y7)9 zyL}k>;`*6B@jGXzp>@w@F}1kjgURyNaQT-q)#WEz1)PX>fBnt3pb6{2Ow)c_>X8Ri#st+6{zYZ~jfK1y*5h7?Hvi?7hxd zP&6@JcQ4hpH4_m301Yjh%o%b-6K3QH^tNa$cy`g>9OGSHr3rMfd^eQmeuCQcxwwVlEKtBW+cchh^*V~*LG!UzKe1BxOeZd@4_+z|Vy|sQm;11K>psp@E|$@ZWA2@Y%9s@^ae!pn6EZ|{mvg4A}Bvt-d6Y30q<(Q z^V!acRc>nQ;!*Ru>j8ATvxf*eJkHX<^~y8iF2c$ggcnygd!^SLj_8WL!}{{Pwkp3$ z8T0MU=S=I|vlz1X#nNU*-PXRc3`T=YvGr{tfFOJ)DE_W)*f=i#*01sBpp!|RF7gX# zy{&!cRJ$_$z^4b_;TO$L;aogWk(6$(rxkDvZ&MgpOHE+&>{|#Mctc!Xp{}QnrwG%9 zCcW~VX=2UxNAA49VHvr>@pyY2BX#9bMF&?m+O|B=+UeweuNXcN|8+k*3cYXkAAfi` z62lU^5!W?zBhTj1r8F7DBP1Bt)@rM33g0MdrE``0N_VBlwKY)9CzjN!ig!7kZhn(j zR|JCLxc45}UvYf=omV}*PU++ARCh4`zX#Ar2BIw#O; zgRb7lc2*3od;Ty?YoFpyt#&l1LNi}+;bg~!{WG4K_FkgUK5g8Cw>sTXRue$sw|^+R z{xV9<^C{1PBsHA9zNA2<>)W#|4syNpu)<_{>V8X8@?-56omP1*)cWtd*brj&my_wpm+AOX4Wj41Bg8sBIrHn#Z68DHWKW)4X~Luc>}U6t0#xf)~ZxI8N+9}TZ7fRxRC}?egg$9^bPF&pZJlz1Xq1)Va@7KnQ*ok z-`7wj^R&PHy&qcT0&s7-b-R4#W7x_o23i2a*41y?gZxG_ZiNO&W~w*Ka$z z`C2v)lI^I!8`ZuJ3vbrP^W-(B;nF?(mV@3&Aj5#&Ee1mkNxgt81@6n8OV;fU8m@lw zAPsuMAevSFU~GnT#KEJGktG{QxC4|K^0Jus+OT(Zht{*|6{$ydONi3^yJl7p=!^_; z?hdfL!c0H30Swjrnx$9uiAq1VF6_vY8oFLip1)0iL`H|o2wt{I)nVVu^ZRu2x)^8< zS`!L~&8E>@|GffEg3Te|bYbCv~>rhyFnn={*v5 zmKhQ*J-AUQO%~~&%m6NNU%!+Sp{u}er+BQtu{EfVeyv2~RTzNC;&)(P zfUD*h*{9DcbeWk}UI1f12{|3FR!lsOCL&-+^Uwa%*2`ewU%+Mk1B$1CSq|Dx#v3Ir zpSOPXmOPEZcTzo%PsSg1kqs8a{4K?PF5}9NkdCfFZ1P&>%LVpSnva&@ceml-=Cs#e zd~UAtWb3IwwP*s{3V|WrdhI3gIRcv1Ir4g`MV_B)`Q8|UW6)6rvfiu}FN7bSq+JcH z8;$!N!qAc&u^JwJf*x3H&e^vR+~pnHKK*RId?i{Zd-Zgjpgbv2?PA#O;(m3u*r2x+ zei$|*jvVxj>#|1F3YP)5XAWb{SXa!`de%Gc%i+Z@+FrPQ;w5Fscr`xgHb{8a$5!{K zbJw@2>(&O>b*-)MKWnb`SK1wcEcK_b@%FYsaLs!rj@_7GQzsV;DfjLI9dpia_y?Z7oO)e|70_1g@nxx1jBG*SL z{8A=eu?^jviho`l0D=Mv0x#G$*%#*P_%KSteJO6jsuf*3kS$|Rwkg@ry%3d8>yF%` zs@!#SP2x%gGZAVaz}$%uZF~23Z@yP0(5D_YdyAshhsa}S--YgEs{TxEtBkA9(X%0G zuVHa5LqxwQsU;9UYlru;ow@6Z6zetR{llnHYlPe!#j^S9U~ww0LBvy;<>!VvRYsv~ zgPJji7@qUyhc48!((Qx*K4%*1^6bW zgLK;{M=BJbBZkdCSBB``j*8{kj-*_MEVp#*x6n%{?dJHjvi7SRq*-t$`rb0LhQEFzVJc>!;@r?_k@z<3 zcefIGW|MEW4$}z*b5n6PmTyoqiT}!1GJCzGraEsdwBfyVNT4Y&a89>03D<6uoK)b4 zzK3R36P8i)<%y#i;kc+Mm3}id8C#&<^ z=xirRxpkE{!#hDVtIV_ihU7)mMI?U`N+r-tjv(7kEq&7lRqDQKo!JLcKtv-+!yRvP zr7jzL#h>>`sc#91-x5d*efI=%`>ghV12a+UlWF5gsyKiT);pFH>I{2O3a=^NB3J(i zLnBMewf3XyWZ_bTe0(1vvGP@KbFm%L&t?(#Di?jh*UG!kt)j;aG0BIue9z~8OvW`E z5H~waJqGS(b*zjomGjhCJ?4};j}vkESE^f`XJNqHGPRrtF8Wrl`Og<9!^4;D$UV>W2n!buCDb8+4sjN&| z6d8J|RsfZI#-+utgdX-eH66x~TQAEl{#`)v(LfUe)c&B>F|X{TH#tYYy@H=vYuwKl0iT5~k;wDXk*R)Wc*E4_%jjc;pctGbf7yRCrR7m)w{XSD{=^YmTF?6F7&A1t(z*tlt2k(X&Kc9?+WrjUTXC?=-SdxZz zKI8MX@f{*Orr!gxe3?Jlh})U?x4BFm0?faoCEP0A9FAGUhxqaMh2c>zzs2EbIO0C6 zJ$(Z|SKEZeR>W&48s}5+Pam8|5fm=WO2RIiZDVmlPS=C$B%>0A3-Lqou2j-{7sPu% zzbZ}vDrMr$YCP)8ZvKu$rq|mEle70IG8F+-^>5|F)yAbR@puyg*D!{POca(BC4Ra~ zuh6G;`;lb~1eeC6ll0HU;otnP|KUGp+W+pq{NMiVUz!~h=8WQtf;KhRjf-4(CEL6E z;i<6zs$7CYbS{Xgyw0;AT(18wuFfTERkdr+m5hvZ1J8gW-~ms7fC36CpeQOTpyCM- zPvy5IX+;{4YMPK9qz5Veh0L8Vl`rKz_FC_9x!`%`yzlGcpiG2ahLz)DSr6Kp@k7z- zGT!5h`E%%v3x38LYy!q}PvvJl4}e){)IZW4OypIekA$VVtO{kjWa&FU7_7gIH2r%7 zz@0b{`NCvdpgvVz>L>O6;}w)MCX(loW`dY9KB60mm!rLx)G zfXjzcsculVb6a8qSy^7a;c40|kz_>}HO`h2w~{@1I5sU#9rr66;a#^Os}t8POYQ%S z_cJt8Z>#Zl(_|d^-Q-81F_l)6WwLv0@D#%G>J?BmGaI( z{!74KB0q|gU1URt+y|M+?J!MG9P#G9tP8JUl5Oy<;>kg~0zK$7azf$9*@hRNK-$22 z%$9wer=!(wWuxx`@V<(1lh!iz?#Fp6S%Gg&^n)LtRwpZaop%D5kRk5;U4^L0xqdn< z#lJZTIG?dQ(vF0>;zL>vtj1n5)N}c$94Aphr4Tt&nAc?}h@*+V%wCZsSYqYE?KpZlC<@)5dmRi*#Z{6q}de zIsB6kOS{RG!kk{~v2q?c>XRIOcKXNutR7+P?6Uuj0b%jQ`+rO z-|$M9*{b@O0m%6~4vf)Zh?N@RNwgE^O=RItQdbuvUIEt#+q<$Eqp(YhG75K`Hdk7?n-^?uv)vl#m&Ad(Db>G{~8W1ES<$an>p5o7ty{k{wYb1s6X)GVA>}Z4N{k( za#H@h{}$T44-oQ9dKzpifPM$YQV*s0Ft&}-D_xu?`~Z(*Z#pf&plSx3lg_WWtwxT+ zB*3Q}cJO0@JtmbQ+iWi0wAo)Q-!gxFTob()0c-1EdA@Nu6O+R0%mvmcsobQD<^qGI zQlR5W`;Rf)XLT#RuD}_oOd<=*ou`vw`2xtCOT3;%=q#%E!?F?k?<}N7>mB#G##+0p zNT!v;#V)P)Y-=e$R_f=OJGa#RqB_NIWxTod0Atke=Ynk;zm3u{d9>dxfwk()_;RY3 zyTefdMdbM(m(3@)8!Pn)M$LX>U<1A5r1-}90l%eZz^*^cm&M%FPs5(16vT1oj3tPX zc>Li&3CO%^XX)?fS1vdBnNWW~TKxTd=cwS02;JEwdG}UEJQ}`Fzs4?zx;Wig5m0n z)=KWL>?q8&0(cxu{$5>PMD2Xqvij0)nL=s^?mE-?))IUw=^YB1Yv#|n+jUqwT=t_e zB&@p&b-4q~0V&-$qQ7&cy^z;)a`v8gp!X1Nu&eMy$0*&7`zwr>5-@L+Z+Af-J3hbi z)A-lT5~qw>xa@EH{2vCGM>!b|dYtydgv_TX=HZv!IWH}^&X&d?snGOVNTOZZbQA&xfTY$m32gbS;7Q&8!|ZxWE3WtPYS>ZmR!@fOj-x)=`r-)ZN+1NZX(?=hb_ z;myp8)^jqi<&#kf!dAL|zok>H?6`LWNKWs!4LQXvu|2oHl*cgHT#P3S}1lS z@uaaRu0Wgb?%ozEBC`mc28^u6=+wV~uzv0Cs( zzD|a<;zC=Q!4R2Bn|!(|tb;c*@ZSA$`QbEYP!qz9iI8ba4R4}mi^qsebS0F#he5_E zY65&2j!YR1*%SY*8b4t=)>({VYSBI4^p_%fhXX~2<%d^f)%&C3*K&xg0X#)|74%U1 z4R+!oGhtmKn{bjEeIP(dE~9-8$D=aoMe?Sv3F4Wt-j2 z`rP&tD~~O=Qg*Xn2AL4?{C5X<`YoBucfJKLC`5q|@wpQ1l*;cvy3Hkx+bLaK%Y@~z z#s^Y(uA;7uH(j)m&Dd)Qh`1?6Ssa8b#Oi4$qcKhCd4FJkw|&|+Og)nCaifOKayzG- z1$CGbopDJHghCF8lf4-`g2lWn%$nt0``-1_LFu48RvV~v@+a$W3!LJDm|W>uvH57# zsyaFI+I3#K-Zz?f&elJSAffdma^B!uN!}yX%3aLmj&wy0Ez3QGkL{ty&(mVWHYTlc z^J$n*Z6yFAr8-ry1D_JNZIZ{V8X(P|xp_5>I^9#<1fcN!4#$GbpHr;RV{JbbNH8wt zlTUZVEw2KUQiw8;O5@igPp_RmX;)_Oh&hL28u@)cXOCmU)(uP|dS(xt(vgj4W977@ z1{bQO30BN*|tx#ii zKMA3TJz==f8*DBpYLC~gF4-mV=K3x?J7|j-n-j|1QO)E~nW&5A0{uwumJTR{On;1t z7jeTW-b_DSE5i<8uYC`a5K`6wz{Vi}Sp1$S{1ju2y%@EGuvG1@CwS16|&^)uJ-0LBzFx2nXsx`8xQovo%bPN z+>r|fEwd+YVYazGTsF6_B}(*Yoh6*|O{Xw=xWU-wI-Z->`jYMj!JoNmqK)y=qhLU{ z>Jq^iU_amXJ)G=8S{jl0 zT0{>VBJ16bsN@4?LHkMec=$%;(wR%;= zI1qQ73m5D#{Lzqj)-*EZrqBBgJw|%}b}6N*qV9XRe^<-sk@*rPQv0h}Om37biuatj z`bzCE>TMcYtF8(6Wg~Mai_U2Lv8HY|tF^myceuix&kVU|1+$+2)kST$963W?WNpZ} zK%A?xha7gNd7U*|`-TZV#$PM#+pQ8AzD(Hgh{-_CpOwSo!?v!w(z#3gW!`3Ddn5bX zvu?DGYHoc8edWa{?l$*yhALy zm&4H<>6ImcOKXM)Ay0c(C4TOt4FS}SOSi!abHb*|Jjzdh zr`-79k`dbq?%B_};o!2b57ZAcQi~Mzd4%dI%(5m?$_n?FIlf(J!Hewc_ID)Jom<}7 zwU;N&K-^fM6z9`?Ue;D!2j7j^=@Ma20 zW87TP3A(R6XBQ8g7RK;%b!h>giZo*}3p5F%{n~ouydg^UE$OGyJalzG&w6cXg-3+})rGb48FUE=E(h?oqj2y5P0Aa|D358K z08!HOUx$kR|M-tTlKJ;oU(8<2)NU4RpPfSiN`d`*q-{5I?>65rnNR~Z%)2PL3v_rE=nL`ClUq<0%o>NUsZ(HXu$%^jfvx&hej zO#ImWdHMF%X^B$<)*SB|zcI^&-1f8`9L3=4pQPjbXB`Lox86#TM2mTxj&h0GEvJ)UT;n;jj}X^l*$4CWum+u%NZTNQ>Qtx zGk@jX-()*=5r^x%nR|URtB2exXI^{M3#vo4a=JX4u|6Hw)@Hx7`W|907V1oE-W$tc zs-h;4B2ur^o3IAG;p3IhcDBKE_spLH=1y5mIDrb3**CZExZgbP2D_wkU1j=qg4&i` zPO_ZY4FBe?7eYqY*_^2d({JXA!Wh_q)8fXZ8eyXaiWefcuA|rw|1>AWtROL?_WnkU z>sy&t9$j2-6a6It3~0uum{!fS!cz?Ll=LMS=paqBVVWO}x82xNPZU;R=3=gYw&z^7 zbsz&et^M^!Kk|U_ZCynQ#q~LzG?RG`v}H%IM`dUR51q!W8XQPw+A76Zr9u0fdAs^7 z-;`QlDz}{0>I^5bmg#x-9e2d1daJ`h062$Ths!uDJ|}tD;S^@M0d?xT4a_@DUSG4^ zhnh_T*>U<`8$&O2PQZm+v#?iPOsl!q7N0%g>(0&OIAu*xQ^);IfbT$>uPT#|!^O;* z6WyI)xl-vnK2DdP!mE10#%c9pcOa4F=3>5XNP8CI5aqCwK@MVubGi>w#1(zJfijSO zXkEL7!ki=jw975mCyZXoB0yjbY~O#i_=TYNFUIx&8+*dyKJlrrORd!k?MLeD*v^2M7GQOoQ796vv5$JK#t zDh12;jUNtsH%MxV4S=ssr&iFf)%KksfNt~QSl>XD79N|K5yQRAd0~Wc8RfRlBN3Hn z-j~+4kv(>=$)9!i+zOxHk;8NL);K*3t}{H0be;n_BiY^m-WRnorGNz7h|a`KqJ!1F z`t`ZTWwG_?i$?W+DHc0clYPHmM_%e}I;+wVgJoPRab@Ax?o`xYnP|Lc3bgfxcIK?A zkK0_7CesrZbb`N|tvVEzgVi20%rlxPBHogo!v6Z(+Y7z@76w%tyfDW*x-gHD-iEW`9e|CL-gdG&ZpU+fwdb62U#)Y|Je4yCy~Ldx*t#$dv`h8I(Nj0a`RI>% zmqrcl*r?u zytQneZ_2(r*bMkqHe03c9cWaICz#nKubY2X{u<2B3}FXE><=E@)l#xn4?&~*Qn;`u z!1#zV2e0WcDzLNlUvK9V=y7q_lyY+G7K|JD=i;&9k5`Cw>`$*+$PMbX6fgTqCb-(k zra7GtHs)4=Zc7ubp*I1*Z7eZh?+sA$AXTOc?Ts3-0WW928k7%nv%da@liE9{Ht$us zkis615sW2%tI;219Q-BXsd|+jMBgklL`cR)rGgHM&8o<76MVe??MD%Nh48`Qkv-Q0 z9swEeB(D4#?Qk92yRVPUhP|dUsehq`wj6KY_)(_diCm)xR_)6sdk(@Djb`IyK@5Zu zAYjO{Q#R>!Gu2~Rh_FAi;#Z8gbO?ulQ#xO}Vu}B@d9mvJJFwk8}wHe^p0MjK58AN}GDN^ds`R3AT`q{pwLg)- zF8y8+@sndgnFaUf0Qm-kKNT!dR%Q2lE%e%;Eb)3_lv%pB-P@eJrL=oBE=HM(YOFG@;gS9S*R#OZnx1U z%J8KwmgG;d@^0nQ)2icU|xD5#6O}PP4!nNS`-h%Xbl(f)vUgG8%yqZknPYb+{U}|?MZY_ zc8CO1Q_0LmRK8n=sEsV=x``g7u68Q++r56@T65-j>3W;@k{x%BtV0biy|Pc7F4rUE z$2QKBIQ8>;L3g>xYjT}(SMUC1AT~EaYC19Lj|DoqGmQyVk#q344cUrPFX8AYr_{-% zPu;HhAu#s`YOVh~Khmqyr{^8##;3Sw6_>i*r-CCAW>B@QEYd1hJdY%F zHbquer8g}%F0ev*q-u6nH4o$WUz5UrN~2FNmy}w=k<&zyGL_@^NUR6nMQL)iv0%Jt z;HC8oOWuPa#4;cC-PDcM@8;QS^m;mQ1wSc4+OHSsNsydk)t+$9xRm14?(8w>ZO;)H#^I(vXLmOmL zG2Q59zJ;a)z4cL8|M6%9C#rbDve{gLaF6ThbM+N%fcO~UWQz}a@ENR&DYlBU@S;w+ zezh)dv+8TmIko}$u_bwQ0w-*3EBr;qd6H4H1k-sn{E;nxPk3zP4Rw6K7;eVxF1l1^ z5y|rX8|_~2=?l9b#MN4U*=qLXkeGw7FJZhfu~~QF6~+@&6At2Q-rSUmoy)6}EE|oS zn=EvGVbWu-+p%WS=3J%muXhCsarpQ%%F}7*atBr21drN1TW&ZJry#j1F&tl~1G;v8 zbQ8@%E93DIuqpsM_Z+9*$n{E|H_Y6Oc=~n9524#>%-ge1vR`Ly*?xYp%Hi=fEZ#`(fB@1EmtBP+Xt%lS zUG5vOCyIKYQfNNF>x)IF4@vAMuVxA_Wb;-kJ!_=K`wR((8>P;9kT_-*gKWco??-;e z`jP&ktU2H4*p3FtMyygByh4g+JNs;OLiG?}7=lQ+pjExys)9J>)=cJqKsa$nhYZ*?dK!TTt+lROxb@2}vzwz@-Q;E+GK z@GH=!4goMy2yb7!@jkNtu5~{N^>7LQhkp8t?q_R?<8014(yfU-9N%t5*3IWdgPAI& zHe;2hr^f>t2tfC!SVFNNfG{HW^3ztS_ieq^_NV!-MD69XP*uv4nzG&IDSAX6P1Y1n28Wwq`afBY3t%0%qy1`Aj z#U3#5ey=;|yS0xezYi?*TyCo^_lk&TUg{Fxy7{+VdE$@fw0-x{%*(RN#ohib3`Lpo_06l}AqFF=bCLUqssfYeo{*4-*@tWW2^d{KX@j;A8)n{Y= z&!l_uWF`WVkUeV0hx*ZTrPCGqkt;-%%9B?vm$oF918vSR~L9s?q*2F^P2Gm6cDjAM?x(E4EokUUU@I# zN>#g+?BWN-?%oYAaN^c$wfL;+3L543ch_$2c{Huw-un_n0o=bmAN03?qs*?nc|XGq zm=m}1j${o5I{GmLg5*GeR5ZXrH;bn-k%kkuS`T3Mp4%TCm#A4QYuFp2N4LgA`j{Q6 z-^Fzyy$Zc9m+i8%Qa9(b?14JP{yqO|jZ{L;WYM}OHEQ8(Mb_Lu_9T78Y%_C<{R3#M zHYuc_`fc&*J?Gp818su3xz}^`{fF4`YeTAzf5BPB8zyAKIk=9 zdk)WoV|!IP7*Hmh!S=Ab*y;KH)i3vmF#CNyft^2qu$5ND!C-ReGP#_0PPVZ;byICw zRacyG{P{juZxrGZ9^Q-)uS2yYgX)6uLfkP>TX?NUdaan2`b;v~{k>{_|91wwId%Rm z#sZZN4rA)Exgh7+8_uPV`L2vCYJztVHc}DqaR9vdqKv#<7D=t)-HBsPG+>d{m-Kf9 zcUJ2G-Jy1Rn1$fuL6E)7CGh6}+z%yyI6Y^_>g8N)Vt9AwA~U!DjQ%L}8=RViGNmoN zzI#Qw3x2Gh~R6m9bdgc`OCuUje zh>gp6_)fh}T;1c)0bzik(r>htTQvAp808A11HfaN@a@e$S**bHJIo(|DwaT(JO8R! zK1dE|_QNFSda-boIT+@tSZ0y9=Hay&0xn+4AzT-N?@TYtLy9qnk~3tMlYGHHtT$B4 z;4}c?un$&tTXs~vRpAeK^=IH7nz3rOI`Bqfs{=`2Ca?%>g7j^Ev;Tv@p!iu2GpT)_ zEI%f`u{ix^XWm@4+|J${jJcwh1JF8V-%&3ibEoelp6@iS5ngN6Z(+1K;rnL!ei+L4 zLQB~1CH4|5lJYLe`*=vd($j>xlhU$#)78%m8@4AiRcXBV%nVo{m5R6jn;xWD*=m*O zvt2*M2$rQO7ve?4h;#eg@ekqE(~o^x?)? zSc`m{SmA=7Daf;iVp{2FwN18~r5(6Eny+J52MeM>l;34Y2Edi!uekSDe*Z#Q zdr;0t2;I$`^GK!FN62+5?wWj7cyo24(rCZsn*cGzYXMeNBW(%TsOL-qtL`G5fM9P| zdfs%7>rBhzY_ZS;D9vJPDYaoy2Ym0omv22m6*i!zyBv(JIFhMI$N@XPKYx=$mom2q zR$lpJ52~$74t|)v{u`WufR|5->Cef6jD115M|erU7v@oOF!=G_!)QYP+`BsWLlR?gk``9;i*7z%Wq&|5# zpUpN8)Ksrgt2~KEDZS18w`yD!4&iY6o*7l*T?6Lvq;QQ6PbGfR*cRiBas5udq77Y_ zz9I=(Bc+usB5&ieOaX+@ho1Oq^($ueJx85T2sY;;aa7nwf!!d=_ULQfuIwMALU)HI zW#k4xN)Sl1I>B4GnE8z-L2O)XI`VB;FWL&3H1`L3x9>UJKn?(TpKzTk8W)=?@Y9oq zm(u-SA}0?XQ8hbvKV&}70kVKm;qJl=tYiGCL3g0=7|n_&q5br`aL=nRrq#b|H+SAo zr-;GT%@1xa$eFsm)E<;y7Xh|Z5QyV`Ge;lK*4C>Jm`ij+Ne7)QCEM)%M(eo!E#dRF zmy-tyJyGqmI9Ktddu>9e81ZtgWjmO7i441+ecK2+b9=wu0yO_ECtdP`EGY8t;9HzH zxQ*uL%8Q4Gu>MK;{9+uZZ}+}4ni&P*TB%s(-JHW5-QrBBY>U_a@qESf)uXT&JS!Q^ zc%-BHe*Viu$>Dep-Sw|icx0+Ty}d>lKTEppx64@<;@-SPhD@Gz7kot?#l=wI|4#1c zwxY-=$J(29g6k)YS;wtFE%#RPfAEO!1uEQRvTd;0i z!8?t<+h2^G;t0gTPNp|$UK2ZJK1|{Es*F|wbxNQVdt=l(y`)tO11h{KDG2@3|JIBs zv`hCkZ8VLe7P#NX0_>#QzTjxyz0=N2_ibwhP@Qc4*HPH~dWom&X@Oc(SkcJhE4;4T zdc~jq$j@rD%%f#q&S#X(c;pghZ7rYXC5QJPk4|HiLkr7R70|;zK1$4Owc>X&67y$Z za2+9bYi&kXgkv<{QFI)f!urj!@7U|r6-y7K+Wg4t;(gmcmlyN>)yT|u$gu5Y@M!tI z5+w*b9L{0moyTwBICOzd%9fj7>4=Ae@3W!VKX$#@V&3FYz5IABQ^-QEFT4pAv3`{Q z)M461p3HJa1_!2p_nEtebji*lvmDkStCYKUgZ#{?I7JfHP~x5u{oSk`V>O%e$jW(k z0~TeP%MGiJrnWGN&v*ZO*K`)(}U~qICd%->a{W`8}8sPfEdvn}by*NL*LpNdzzuL2BUouFM9? zpEuU+sIks*#Zr~3ZQ^=4{+!30=P?YZY0DtpJ}oUI%^k$)T=~^tihiASoVO)}10-2mZrBz1KI~8SedijVIw*e)+v+p8Opo^cJ<abhj;d6Af&;B8W$ehb#RSIH#vVi{LTcWd$Hu)w#Zs!}7(-u2e^ zOT$07O7zLrWs{Y-*3#@}hmZEL=`LQGMOAm*3)Z{tzA4s=mfLk@`2$7W@W`K!xSqS{ z1O9rWme}$^!>08>``U`g_iG!($!=#@I`fw(GOgtUpx8F4RQ$n0WWAZo8i}{bQF{6{ z6JtXBbtYuUI|!XlQ&ca1rnl(VU0N;bQ4Bg0^uDfYbupI)3($dG>>>&34@P{bw`sy) zS;Ply#tW24FJ9dt=)7KdZG(2ARt82y%vIw27;ZW-f_9H#<6M*ZET|RiwCppPWxF>z z=%?oH?*LoL1t+Ck3L^L=PTSjjwP!peh z!)ZKuxBl+z<*iI7wbuJ_z(_YG#xnap`y`r+{PO%fm}Zqcft{%ej|p0m*tuG(J5v z5+L(=IQCoL+W-?fULI}!<3bFyex-0O!0C`&fsoTk;(hJxXO7qh+lH;A)bXO17b)gH zs|TGe?aD-)`{kT1=*&);6@h10qwl}&mjCsC!QJxTz%%|gX89s=_(7$l{K{QgrwkF<1DbSuU6$v#yc7cNrLTlz|O>(ckOn|waq zHQ1TY`>wvZlsccz&b71Wm2)Cb3+~?QG-Of?shIKW3w;UYpvgN zby&Hl%zDa_A|({`1}mQ4S>>t2Tbn2=CuW$N|GWk&rj3$^d<`WN)2)Yb>~ zTHeRwv)lSnA%4TAP<6eb*KW~jr$OoZxa8F)o%l97%OJ3uyLrmg?yttmvKr@xa-z-@ zweCYgF^}12MH@`^%hip_$eCZ(+PkgspL8O}rN9NT)x#}z<Ss^dioBPs>F`-1PoP&_+Sd_EoV4TmB>a3d zoSp{VwbZL9T=p$Z^jCA0E|>X^@oBtTkQ6>H*kAmlyc)bcr&5U`y)Ke*nzS{&_#rxj z=ZkzXZ`%$70Gwx)^0b)VdkbgFuPW|IVS`c`Ne9bh(4Jnj!YIgEWUqS9dlMnKWCrU^ zxiGpT;;()a%lJrJ*DSA6WH=LIY{<4Uoc_I~C4Ie*7muiiP$9j2?=z)Z^`}wid|RsT ztFK$dW?zB3XAW=K)CPHXmQ6Ym5dWw}IJvR#Q@Vk_&n%uN3Gl z4l3%%{gF@TMr{UKrYUwa8X{pD-&o8R2|#?pTlJrW>mtgu2Nj*a%ZW#>9=i%9rzU;_ z<{MI84ZHV>0I3zH)*n@-3t<^OWESAuub)Ads2pl7@cd|f@#uB{9*TNdKR$R80}5#W zdOY7wLF+I&*HH1-ZgjE_q}R)bhs!!iKF9K(cSyrgMtBa3W@~LPjhgXXHQKw{c^}t_ z&S=}mk+?$tj5$A(yutMKOPKCTmb7o%HHxhjds{Bv-D|fQ`KLV~DtG?bwe<&XHjIb<=0!u`~jh+IQ+>+@7bCRAS08i>z&rdLlu6N z3r68jXp-Wia{29>`Xn1d1V4N6Hl0FlrJRUsd+`}An_sRc0BR|vSM}<8%Rxjznq&Ch zp*{a0H2EyDjNT7BYB zZ9(vs_`E%G3P5Y>h$`d}=Wgfuijf4kXMGOv@A6uhUN)7}`?o0sfsvujI<_oD0vK^c zg3sAK3rNTPuvAXgUexsS3oTs)c(1y0m(ocn|IMfZ^=$v_6IvLTwHk0I@58llUZ3|; zsjw@33OFuxvK3ow@2k+yI{=*Tx99}dpnC#GKp}G@-lYPIUzat%j$MvLD+99l+uQHp zts_^^%MVfC5RJ*HadHiIR?o=|Kq*w9DmZmNUXJ}6|6ZlaeGpbD#$A)I)hM^Dv(zRt ztbPAEb$@0!#5iW24m0J>&)UryqC!9tnompwx%MR%!Weqvh)GC^jn~zUh`W8acFH^N zRh%m>nilljfb+a1y)E^?(4@e0Hbyec)=dH18vOf@7gx>s9hXWs+Nq}-#T~Sov+1;d z8-7-I{<$zAe2mlNoYfJRCY);f02+3;|mTK{K1-zSuEYS)Fq>reB1RMxz^6X zLeom;mTn8Ul=~D`)7mEGnZ-dJGUj@jj-B7INJ=nAk7o9!cjz-z#`b^J+h*Rk4duSj zhhsC-O`7uJz8MgQYFhQxU3#-dr)DdFRfwOMol-B+r+?R&Ikl1b$ediimlb5$lMD#Y zFU5Z2>!u~LG6$ro)mjRV1I$HtRzF_(ONreVP5VpNcnU=`p!bGx&1f}p)61b+O>0i; zQeRt8Tu_K4yvNyf-|}}S4Fal1r1k3T#%ilpsd`aX^W{HIw|k#1x4$WF@pOLT|I8lQ zvU_={7ji^;7QP)Q=G4&}wc$<6EGMTe>9*6k!rZ@s*ot$ztGxII739p}e67yydfK*c zGa{DvhkY^5J&?-0Rl3Q>D8@EjhRQW{i&njYQyW!3Eu8t&d7544^-4|a>Obay?8aa* zM()`09#C@FB-{L>tnyn5&pPP4+o=%3C_xu~w70IXS}k@|AcP2z%E|T$_xyVdD!-~D zN))%vowgu&Od9=ayO7OQ@1tQn!RI$Ll5?8P&nP>hu1m#EXP0bk;G--Hd zaCQD}!`~ccW{upaJHW@W(J7DLVok3h43&NR5;Ot!x8b}wS)p@t!Q**1e=5$_@o1&U zdK`EAiUn*vs`Dc{E?cg%oYoG@{fVL*?6R}@utM2Pqe}|K$GgWa#ikYCdl)2Td=j?9DT zB}{%O1MiW2yFSa*=6Qbc9eFt;(a}!LF|{ILeddCeOpJb1%Cq4gOi;wc{dV8q1L$<) z(OzoEb#3-2zhAX+I_iNxXg53FJM?Bzq_yh7lzHk&5k&iiw%?p)RZeq?N_!)G@SVnG zV$Fgu?3a#v8O?Sihj4vD-yGzpMvMA)G49Fxg}j48jStYAr`o#xJ-m{-RzJ0-swes7 zLXd7r2vhQL4PC4o1seV%5w#2yU0LN<=X(j^h^&-d=~ufBnnT8W{GPh50z>HIgW4e3 zT@SZb_O`tQQdJ*)STMgl(Zic&(mOQjX#Y959IcJGDrJpANo8ute;#AQQ}_3O?_>XM z{=bj^2|6AB9)D#ktk+|2g;!Gr==DSV%nl>9u;MpdqG4^OXNAe!eC@m&XTv;dSscNl zy1vj6vghdxF;E`**?;FU{@Fj!{AuQ%PNU0y-_1&|9<(o>#*&?8DH8!=buf0zoxkxi zsg02RBz1b2t&C=ayMjwxSi+$461b&XScjJM^ab^FSt7(v!_wiY`gR-qeX&uQPmq7q zqvMX>60%h#s_i*KbN%Z&9k#OXv#>o3a&}FThmzOtZrMcaXv18Ogv)BLf)_hgsrvU_ zAPx2opc52}hJ8WhbYdj$>SL%>cK{eO>y~iwm(2g6IG=j^^wjY2bF^o^yIJiv79`9zbG8HlH zPdZdRN2(`$S{0Y--sXsQrr6(yvl62nrj)fkI}x4IpW__9#HIBOh^HG{&6L7tF1~Dy z`>|wxK&J+Ph5+p&+HcE7EQ&3og?+|e=W6S_(A< zmYsD!XV=4CzcBkf@aV*8sHu^Y>nczdlGrk4En;%-)vKeRrb;9n-}`kA-WeNUh^<<_ zWN~cA-Mm3!ffsS>G2Bmpy*Opg{4!I_hrJLis;^C(LNW5aA5S;0%cUaB^pHsP60yi^ zz~%1g)0tf0SEXjZzUo)Mch#98*?gz8x(QQl^9XEgSo`qFbp--te%NoYaMdEwnM7-~ z`SxxfS4gQpprGfG*2*6ee-q!bJDZ&|mr^;h-$VUyDF1?GmbHp^=lXulXZ>u#SI+iE z8=U^AP8k>D3(4g=lf}nZ)|J8F5o@bKQ^wf6IqcjI6G!Xb=cmE4>FX2>&1y1CB+cQg zg%=~p!fPWuY`_tX2b@Nx)w55 zvyc3rArM=tw$sAuq_KpcpnmkQ;Vm2r+ZL7=4z*IBC{#?Q+LsG$$gK0L{cD;#o{&3N ziXyy$2`=zZ`HULG&<)`}5pk^Gd#gZ>P-aqi`emQ6aGeJ4hRdVk zD=AWcm2N%6soS>~0}{)i{ViTfh2PCDna|)L#MMjf0OD-d@wU#D-xG!6Z-$z@-Oo$_ z4WvD?y@`qdNI`Y$b`#bjRT@p$>;T|pnKilOA$9D&z!HFJeXCY})Y>pQfy;+2Ob3;| zLT-(}o|^@M=MZY)bN~aLz%q9mgFjDB-b5jr-sn{63(J}4lS{HYm)X(ymPH{_pnRZ8 z`zq|Do$$=Jd!}NX9Tq)zPN*I3FRR)DsYtv1HcE~81>zI^yX{V0Y2>vf=>g!8iPyc~ zxYP3X*X7pp@W%I-+vyYx6+&gk;OqL(SW!HB+SQ;meV)rZ<_UI{v%9ElR!=!93Bj7) z0M1E{i#58Yyc?s#qVw(Qm&Y?Tg#kb4q{~*q5es2rv;ydvbWifN>%X6ps1uMEEF zXv;0Nw)^J@jH(<9D$2{;08iLp;1<>8SES2d+3OiVoqNyLrhjUNaDU>!5~4pTNZ!oh zGgqr(V_E3rb62AV?u60e`)OALrw{GYY|=?zvk6ggug}#>*&a_1^PRbW&+OvfKAh6Z ze79P!IaqeI0b9KKUd+a8-KzcxFk`BA}vxHJoCJmt}rQM<2& zts(l-GhHu`Khr$j5g1sGM8_L6>)``rnU7LwOHQ9ByNFJCea+J%2}O)sK}~8}Noh2f z!}}P`&8q#3d6)`Q8iJ$-rRa-pM_PXY*rbA!FLuj;3jS!pATl?4xcwe0VV7Mx%U$jA zUB3Krx8y0U^`BGaUuwfF0#3bu^BcYGw$`mzYj0D{*1X-dy`-=iMq%B;=F7LaOk#@6 z5Z3!<%_NiR8L!-K+3;*LRXF6;_}OtaE&Xsu$nkWch3=L{;K@4a!R>RMu@nT{jmU~Q zaMk+E{kE-9ruBD5-iy4KU?rVZ>ezK*L9x9;Wsz0)LR4jInNg9W4Q$oG^-YMD82%uu-1h_w{dfwt3tC z?R5Un<$wQ=|L2dYHyZ!$eEuW)qE40K!tz}tE?Rfm1?I%*iD!YRd;y zdAKP5wTpTcx|4mM=hVl^LI_`jUd{fMl&teBix!?o)*ba-JjKv?j86iBY15rI`?1IY z<=lYiWI~5Yh(2835pOdIe}~U>S}^e8{>JRH1iiwenj^EW(EYg_lZo3qV^S#>@t?kI zRbBgUe&^Pk_G{f7H0l{%T)?<_U9qIFOrE#hm|WI>MeEUpkuBZ_Ce#OQ55n2UTJ@2W zv{xXS#Uspb!p7GfMmSc-zqoKSXOFGb6D=&L91;f+48*DI{&lE$wJq6KRF zI_n{~&ombK_jj_EJb;1KHYKi`*;V&wkoJc>lwNf*vJT>sn%!5;te`IIT{7lf9>wVL)ASBu?V(2F-AL*-PBcr5Qcl~$ z=d+#V>bT*I58t!{F%Yy%B0isE?SwcEba@|KvhG7?hkle-S0*A(^2 zL$y(|9{7+OsDCGxJNZSe?yG&839=oR-xNn9_KFxSey3b~=Iy_|8a zdB4Ln*H%CF{ep6bmQAZoXHkBpWGk$?*?Yqwlop}2COK;}K<4;+lhDBgUP%>pW{H=8 zn@jlXvAPI%(SvnKFKdoZ<7uN^B?sG;@a4m_@Oklz)($nAnZe`y3RqpYC-`?UHDQn8 zU!zXrFe;JNFz-Kzw=?Hf%%i5z)k^r)X%EY*XX|qww~j*}qPK6yL791O)rjInsaVkw zebp{k?T|lYNPj4SU0pnxQCh- zLA{>~OsKzhY|1lITQC>h>ccPD#R+s_&SiL21O1^}1;1=8CSL<<_E>8s5c}7SMDAb1 zn8NL6j%?cR+E=63e+s^`9?%C4zj5u=6<2rRiUkvce{=wmvD}_Uk7zJzu6&Z+Yt!GucX|3TE8Uoq%)9_Iqb?x--yIx^El%Cuh1?vTbOg5kl}~> zO~~g%WtCh}pIR%5cwL_f!>V%Pv$Q|u3XACz%)f`W;6BRS`AE7P!I$HS7H*5y% ztq#&+s6r5qm?6>lO#WszXr$O?}K4mZTVBPBsWO58g4PDehmLAHhToZ`BXa83h+O=DSohZzrBx%fDAIhyQ(t3^4 zW%(MEMe3`+PCXxu7k`X+sAY5STkh_lc_6{V3T)abZgNS-3)}bn>U%Z!X*at4;?`*F z^eYse=<|NF=Z$}nqYaVT2Dm6Ixq8^;U*?3I3pcPBUdi?nkJ*ug<3`=`vnF%giVFGbfZmmGzO*z%+kD}`MY}Eq_YJkCvp2! zCQ@c-qE7OVli^Le)E3m?Dlu(cVFEq#?vzfmPlE{b2Q#{b$iAvO-{Y0RU&F54aR~1w zu)vYVviXQQc@?1|ch03hiNGE_mv^aWxGw4<+lTIE=Xq4U*d4VdI8n{S2YidvjQY3$ zxRFb1jPxV*qYkvFQ5=O33Le)ky6?F_<@~piAZO3GVZlFoE(9M z?tCKe?~eTze;u~;d1j-(c3&abeQCMto!`(3yt30MdolVVO`dP#&sz@;OxQmK3&dC_ z8}w7?Y^IpItKwBh3;R8vSa;G*=JqwC){Pm0tZPISp2gwL+&$MgYZrU>7GAwlkg8P48Un-zZ5MCR{Q6qm#n(!^V>_&MkT2+$j^eA8JE&>?!~kKkUPg!^6YJIWKSY8{a5Heif{m zA~DbM67%9-Z?jgf@cU~P>Phv#3e}>O-FAUV?YP=qk|zc)?dg2GxeQB^2)W=Az!B?ym{{85k8Yk=?2VHQlIx%y^D}xOVagi zVZY8n3Nl>M59x!lhB9#Ne1pB`-z4f4&LM2^M*Y3w{4PyBrygm9t4#cz6}052C~c2F zfv`rm2Usc)J-R=$>A7l_;wxS(y5we1S=N`Bo;@3LRAUErLWkHZpS&aQ+TMJ~(WSjT z6Bm?Kmz#atxq2G~(j@tFE`Np^7=S?!zHjq@ZsB-*Pg+ z6G7wpOOfpD$0Ipiu5n}qU;lPhBPR{(HhK6=6TAs;9i2cC3&%rCIJIy|IQbW)k9j(mxBO3}tq}r4qI&8py1YY#&9NaUYRXSMH}h+A3xN z9bPaRYDg5~cK^Aurqrx9s1J3FWF{otyIJ?*>x7?Kc%F7&Big36JLG$Me~OOJ2a!wU zreS7v2!B`sR+yWo_uvo9{MRf+xcLvuC`J#{dfrL^ z2S!q9EN{(@<=%@=!b1k9|04d!b8`Cp^Z#=H@jv`i{-6Hw|Nas5ztdkGGVP-%KYxdR zgKuG(bOmX|U%l1IABV5|Y&Xc#<~&F2A?cbo2V5$w9AOeiXC*(=E7^;eujR8;SIX1| zX??-0Pz=Gm1Nv(fY%_FEra<}pLH_c2?w7BmGU3Yc||IK2{y?W{K3jQBS>My|1pbUH7a9%yn z$;hqc*H32~g1oe6+QOlU8*Ohj-y7PcLS^`zzs^D_fSt^GN3Z?K4g0VoiK-O?BPet{ zAx5`M59o{icqxj@U_=g)6;cM$*Y!5}-s;a3Q7boG+e&0Qcy1j#&z^Jb#+@`FEvS_X z50e9l^(2th*?icecRM)P)NBsj|LWNfGFTcnV(33ce}Nl_03-Kt)2dkYt%Z+4ZhV~` zM<};H6K;b&?H^SA97Uf(+*!u6QaGiBOpks&Y};B4z)Tev`!}rBeJ3lUzxEg3Wgvy$ zLt3wtTP0jhvn#}+Un?5FQZbg7eS17!PQyDr8@`gbM*Jl))WV0Zv`(Y+)_c@X;;eLo z-vAW@8mx=AyW|4&?6}T&__z7+6~MPlv3O0v6z4qr#C%fgeJ*m|2A7>CzoJkDxh)IW zMt{5r3Y}w_JC4F(*_`BemQpBuUsPMknEHHuS86lS9scz`*`O~|WwF?pSxc`ub*EO^GK5I$3 zXavtO*3mh()fHXNn{MmG8s|6(P)p^vf1Clt;=J=1~4BT9xn&P85(rF`~Y>Qz5-(;{`2641cb}DaP-Pp-5LPtVq z_kdo^Mwjc$z)SYG?D?ZdP}5dM=T4j-Y^ud%bQ_*46&~Yr9k7bWU28im>YNKz!`!!~ z(!ldXWI@v}lTTw6{PX|#FaO~`{qsNkFaLm;=fB@7{`OWl&N98i5;9A>ulp)ZR!`qv zv!G56T%+Js2?0T-0N^rr{=0D;^OY6Z0Y8!5ss{HDdRc&qp={0e9*Mo2o-r~Rom?f` zaXTJeK6M<5Y8AVH2em7IG~fNqU;WtA8vA}H70CEa9hiZn1ELV_h1J%oBkfua3#qdC zG_9E9r`2pS+?Xtp$uJEOL3+(blV?rbA?$G+46rO70F=gbjf)ol%AfUP-{|%RNJE_9 z`OPgYwY3^O7uPq@oa*1LzH(krDh8Vo2%WfGK@R{18wuN7ZtJR#JV)l&TH<9iiqC$+ zMZ1k$TFN9|yw$@^a{6QO{O&n(EIXZF3z-!Y3zwHThzA}zRbaY=)W0}To#xow+m4^+ zk@}5}Iq=j*x{#X+abnL@rz<^{&%XpxnoX)bJ>9pTwp!395fkse$$T=i`kKq%a_36z z*8FZ^EpVcZ{;jccR?l@NT@*Sw0)H6lIokCjt2MAB`SUhj+Y2D<r1wn5*^~>U`IIyMn2nK9S?8y}T7%VsrAvyiQhv zhqD;qm1AvmV+%|P%gHAoB4s0sq%L0BCttbUMJyhA&-Ich15z~9Xl%?TR<-nb6yGB! zX-(Es*hZ)82+w_!ZqYkq-MmOf)thno^M<=t`!&CwnfGwiAuI7%oenzk_K5YzArE9H zhRvTA()GxRC0VPNGyXMsDFW0?GSvlPXUycMTKZv6;~6tEPNaxEtIZ-CxykC%S zz^XxQ5$ATpLynS48tfvSec$WOL;Ll6_y6RB;aqBWXA4>p38(I7y?{T z_qTRLgoAoXzX~~BP|+Pu{ca|FF1AXGn%YRx@b`L{Xz*bNG6E5?Ockv>7*7`ALu&TK{ z49$|-pEfHs1no?)QAptmTE2rKH?oIz@S;L+F8;PtHDXME$+J)B(jVV9eF|wcc~#vM@b2s_?KhpsZ;r;> zmX$=tB5EIk(Lv+;eIjQY=Z8UzfRP3HopziJk;EvV||jVjUJ3VP`FRa z@B6Xm3cGN!kfp9aq_(tPH*Xkw_iq)*jkTdA+%%uVLt6#rt%q?O^BFmvPHlRjA$IF} zMY^$3+H>c9eKi@htQ}j#vs%<&x52m{>jBXkXaBxEw4H*@YZr8ygEHCUWovjFOJXP3 zad~?SfdmhMt3PmTn#_<~f?>LgPHtIbr&*RTnEVRqb7?P_WP@Q?EBf}ydm#XUWRT+>0pP&CCd>_Z zKL(yt3_?|xQL?RbO|@_d|5%eN6q_9HZL{Udig=e1JmM;Q zEhNq_Q!AqeG$f9Pf$4lYoykG%d1aA%Hx`BKb2PlknG7TM$2QD<`q~N%%sHf-N^YD} z&Se5R^QYsY|2bK|d;VxiU1-Bh(Ka&lap3P&6v`GSx4&6OwtOyFN&NU!2(u&Sb#VHh zBCOgbJuFDnlh7#$!u$dC>)Ui+%|<}(9dG+0G)`<|eAyvftFI0&ul)+YXZDYSQvVy}?{jwc-DHz_5O;=3&Wu)y?Zq7xtE$ z_sB9V-ag-Xq5w63DR7Yqiw_UNTKUL&%Gxc|rAM54$Yc4NY6lK4hd8^;?k>AZFd#Hz zQUpuzfq9N!Y|cvOmqlGI7A6^Uc0d`l&U%XMz&~5-R*rw}eAe=#GL*xYrh1u`cN==z zFrPQy+U)#Sy$IDs_cyRV(y^0W<_nL-hkPt6yUcDdbDTo+ct_UUWKzpc!VcD1T}IVS zjrd(TGR`d@$4G1s&BrfLfqfffh?cg+XdzSdoQgOY@pTEdL+1DPW1|-SCVikXOm&^4HTRzwBPZ~NEB>NX;s{o1xUW&cF z2dKYN-UNY&s;cxDmD8q`rI>9lu}!ae6OSgNtkL*MPq-{gynW6xWSgk@(RufU_=W-j$MT|1ul5ubiIE7+a7{jEl2;ehIGsQAxy+$YhTIhzG@ z{5cYp!};uU91b0cHqFP=w36Z@Uu_rnz^J6i)9XXeNt7;E#n-x!c+I-!w!N#- zOLp|D9-RhUXS=5wxAZ({kc9kx07m@3EqecVsrZlo_>aFsCbv;$I*paOMUda(!}_s? zv)NB=Opf6R5?1p}H%z*?(nP9^ri$g|8%eS?ZJJwd!AAC}n@v{)ef9Syx6cSQDZici znXXNVC>jxDt1*!GYm%b+N?HO^4}LiA#*5N>o8-4@^m^NW{@NR7GJNt0B^Ey3K z)2-~j14HcZw&}U}ND94z*&GD7<0n7!HqV21R#|MefB~BRYQ<;ER7Z^=!tSq|T!+m!e<6F(>Tr^nEHPX=Etc2v<+@oE3aiYw4hn%*auka=vL+g~;?hUb zL*9GYEH@cNJKjf1@6g%hM|W!l4~BZ)U8EC_O4rQl)ixTfG9KRFj3tAWU>_sbNsc640i8BbA!(ew)3~s+~5n?fPG)WfFF|^yR0m#>z8u z%Qbb_cOLP_z{+QJihWZ>QHOT9^_X|o)uZb*)G8dS1@`t<80XTMDKI<99{@^PNOxW# z+TJdFL3>5@$$}93_uUIhiwE_*{p@Cq{w-Jxt9@ZKy_#~@zb?Yz|N4&R-osc8Ux9V* zPc7C3k65<0Ka`k%`jvnDZ-06v&LRZ>i7KkBh(*MWBsHyD-EfF@ZKVUdcUa%dpG0(g zRq-3VVRT;M!p0SdUXgfuph?;*lGN7o)*FW&TP zj@0Mo)DxcUC6hslxW5VdMirC(=C*PtF)EbmuX>jbtPZ0Q7wZ>gT|sH zzUA1tmPG#uXZK1~*xuY(%XRGEtKzrrp{&7^b9c`vedeQlWbY(mH$OA% z(o?1@8|Z;)P&8PV!MM&Ze98@n?@m4t#e`#na+Y ze2qPnx`wBNZ>a(fnH&U^JYO#ty3?&OlMX!_c*%+sp|8?>@m-ajazu^J*8|zf3Y0fTJ4Myu~ktoZ4efqgX9X{5iIGAu{3%HT-PP4((N{E~fq7%zKini@d`X zt#$Tuc)8EFy8zpt0qOkI9B%b;UvKV3y?8upkb`&+W;_4n4`RY8{>x{M%--`eUo*F*%xEW*Gvn zh}};12fJyH#$Ijp(*QCN>HKY`&_I?Ja@QSY(F0y;><1s=Hd2;tAY)ze zg$#?Fk}#0fCm#1%rNayQF7F+to;$(P+yMVtO~m|u>8#c-JS~l{*l2ejLDP;f5Gf8CWH|7mBp~=gIZhMp3N&uz4Z=JJBoDe!zn5SL#do`~mt+g~N-t72{aC zlt(iPDp1D*!Fgn04=;=NYB}$Y@|43|H{Hw!g&ztv`Mr*%)1YB@4GlJp=$M*!vvLg~ zvV-q!|B|X({)XU#3RpovMa$!7%)ifAxvp_P+qtAm9D_I_`Wr|sW#z-Mi#=@hv#F|7k+k!fyc!){1T zPul^!X^md@SCraih=^R~8Ub1SEFvOmTA(s&n8 zb6jW!bM`a`ez>yGj@ch$TuaV73$h!P8^zit7=YrZanMVKYHje_dcr;XY(kFHY?3mp z`#dtR<$LebeEG5xg3}wqPOy%OkgNC4hjL>^y$3p6mTK-i$(h6Tp zx#|fv$xb-kA9&%;N=tRW8B`g&^E8qE`mo~g&pqq^{nCVg3`G@-JSKN3Fw-iAr@G- z`zRdE4rD{~S#G$1uFX3>r;glt?&BTMA*^PnW$fTf{7e2hnZRMJ_eF2cK-m~|1yX1g~be7&((|Cx0s@@ zug_A7*Qn;hVSL@AAg^LWu8k@&RiWti<^@Ixx7R2Y?R4+02hwBpI1P_j&X^v0k>BN~ zV|1mWkTK&*FC-pD|h0Ye?wgdGIZ>WQG*fg!b(tFZd+xHH9f_J2#C=eo_ zugGbkwN;S43yj)0d#)+d4%^j#`7D|NSk;5Yrg`i{Vf+#;jI?IqTi2*?og) zG%C-yK$UutPSu_AHq24xx%=*A_Y`_!NDdMAtJ}=k-aNIs`a{Ig$VX<}Xwak`pdTT= z_Gq5li(rtSAlG|gR?@$>;6j5nWTlH}8KUYQqmMWQ5)ZYSyedlQvHEScuToK~n;7;3 z~KXPfqy!_9Wo*`i_7{0?yTE9jP0JlSlZn*uT{dghBN@N@8=FC}pkF z`ur`2vwu13PT#my*|9&&+K5^H$Fa4`3RGQ{lN}qbTqV2s@Ox>uIH!zGe;Jjy7>mZl zyKG~&l(S$y(4O2J5lTu-BEEMwZJ%kTe7{9gtu+k6%y4H9wc($k?DU^rQj)i_JJ*E` z*9RWobGBPbx>R;X)KNg{ek4ILw0_7P#NV?2&Nh`~vT>zQulDx`+A zqytwkfC~6MS!};x8&|YhI7*bsQCe!}-0eDCHiS}e9ZF-> z;dc7r_0G^sJ=Z{Qo22iH6RI!o9kGLae5x0=9@!o^s{N;>P-hGhb*HFSfqQJWeUyF& zZb44?DKH8Wga1nDr8!1ZgzLaOjhf{rPiC3DRlj#cjXpVusx?mURQg_S2*AP!!M1)6 z!Sb59D(s8y&8M(7m=!bJRY3H|tUImCsmmU_*KL)=&Zlc1yJu$`#U%ESa)~TPX&Q5RLsAzSFyM4{Pba4 z?zk~&2wITOSS@ws>@zxD{tlY{{q@W7#D2YMfphL|vwjEdLgTJ-C-lp_ftYvlR_q4j z6LbV8XY@FK`XTzQXMQu}G_38_^Jsc&o+Wx$dpS#+n~2tu?7gWbw#awWKgB@q_s2e8 zoKWo!C;|C3UXx*c}Ozi)?`i}#vA z2jr%1J^SNo%Q{>jvt8VNz=!hL^L0|`$0?5?sSQ@j_N|wi`!So1ekN#3JT9x&Onf9B z*Rz2(S>2MNwa_hT%g-y1TTGW<<&kU~EUN4qFdD{K;s}YWM3@{nSa|N#KiEYQgwdHr zl3Y6RcYtYcz$ZW2qq$70dOmb7xp9*hR+V)iKbxi18E0FRPCSokxW~)6Nn?dg%d;`F zY%AQT7nmu<9)D0*Z#6Zk8;f| zvSECA{6v)8EMiBaJD9ALCV+wYoPJ7AO&U3zgL4;h`GccyWC@}EVWMG(t(`us@y%}` z&{ni~UFnm48v?psuG}>>XYJxrF@07!?jc`U!Rf^-UYylJGTlBw-776c`mco**DGys z$s!NJGZyB2*Ta$?;y%y*nI3!&$$@gVZ}kX8ye=ZVb@_I^d#{9opz;?Lj1 zz7=1$(@JSN@jy3XHdiQZ^`kff66&q7Kt9d<1_}zJtFs(XnST}bDCijPdxh4ME@52n zro7{LynweTU6t3}-!RY8rEpQf0QfII5bD^@Poii>Yw3(Ze(T_~q0ZTo?+AZ8PIqpr zBUQ}LNf4KH$b!i!n$&<-|DUy!^7RBO7f->mMBc|Ci}zpe7n*PM&B*My{fBC% z^ZOQRvb1GnDnD`Cp8{BJdF~!#u^4nh;F!og%zATvo9G4%WA(Vw1aXzh|nF2B%OfXO>tHk?Rn1CO)w<9|1 zw4vwhLo_O;bNV(&`SymB#r5RGwez)*+^@*4SQ$&1^5rKTaok);#im zle4v2LP$tB-O=9Q9)9vQ{Z%5fO1WORKSj=;HgjxS)xxb{WOy8EiKNoH49c`qv56`b z3e|x(Md4$?H)~SWYPaCls+@EhB4trAb-M$A))tEiH&&W`rew?4tDvP##*2fK0dR^;JHtdoInFj64zd9or|(l(mTI$Z~kZtWCRA_yk5^qaZs9vGaBy?_%&9>Sz{jo6r%5g z8%p7QxK(1)--?Vr!YzeNiF z`G30q_#glIUzLCS-*6N7|H0s(+tedaT`n9KGQK8F3E0)+j!EF=O}Fo50kP)uENBCbRXFnzM3O}N_Cwz z=BH8(o8%1v-yVCj4x|^yQ+CYr#-)?&^3$(!+poR85YWZ8mbnG<+C-Y(P*#%V8Cn~KpH;%ou47zKq+!R&vQVi99#c4+9M%j< z9o+*=3x_E@y{uQ!zpe5Cd12Z3ZX8OevT@sA`O@5piTVgf7DJZ2J{-K0-6pJ>bE3C| z#QLPC&H=M%&F3$mM<=agi?4L+f!RQt_4WI_lpCGmwrY1jgXlOtMUV?QDx2qpkUEmp zTjZ^S5_a)IPW-G(>q^0H)DxX~HG28QW>dT8*N1OoQnfZMyQ&rY$7<`F;&)+CAh(k) z22L+?t~loCZ+_OTBll919mJVC&Bb(zX>)D6Igh!n`}Hz0hGU)3DHH2O{JamLIM%4$ zuPyi?G-qva_#fH`JqD~Rn1Xt5f zF5}~ss^6r|=J@wS)7>!A?`0WzEs3+nhz4^K+!PcfUXWeskLI(`*Rd!+r^Tc_XaTX^ zK7T*8*KQEW>%g)LDr~blje)UUZ4WCtv#XCjIC#p3)7~E0_FX}2UW;j>)_1$#R?6(m zs1AzMt|ETi3a?$4{M)6>XNhHXqNA8s>bW8B0=!}+j=PjD~4R(F;yzPM?xEmyT=P^!Q95*ZHp5aMdG4znd(lTu3%zijF!yaZ^|2TUje+b6{S*3LxPL-Yc8bo-R2A1x%^!hN4)<5 zYohv_S9_qpJ1bC_zm(ht)RQ>IWAin9*PI+u2GYQ_rPgpO?IS>^*D{JDQ2YeonUOB8 zvp4=~ClLh8M#^N<{)4hwy(}raos6sT`dA4F_?>r|^A1*tIojtsfY?b5ZOm{?-8J4T z_HarsKrmRa$f7w>tNRAl=I3j)FTHP)M3;7G8B_ISQFH3wJvHX+YchFP`uUFza5ej~ z*}Ab>b$XP4n;AWQ@mE!EhyK(%h!YLdM?SauM#C#KF_gCR>M?}som*pK@9dX>tZk0( z%4Pf*^e%M=!PI;H-GbgeVAGOCw)`%mzc))Swolv|YoPfomA4lvP+HcUpKZ`GY3%4z zvYHjE&5IAHaE%{dyzgHt&B8W|?~g41G3UDcdo;LEhcEb6s#POU4v+8->Q z;Sk1KzBQw+OI_3FZ@+?3`K+hVP`{WgpBCHX#rbGCn!w+BiG(J0c@VujFn8VlHGgOG zEj7R7ZUyQ4?r$xSJsppKa(`re2KU1ESU#sl?gHkj##I*dPi=+fH}2~pv%3>Hh{j2C z`8`sGQJN|A?cy@SjG$nd?K~vnYORZ1SDXE5niZ_(8~iKvs#-b${(T@)h1Ny)e9m6W z0?*t(*t%aFr0hiQObsfV|3mwnL3J97#`t#4*3KCAb;4N0s+XCO6eI&+s$$|%L6p6f zrt`w6%3KmPZ5W3%TR*l~TWB)lo*Lr*QH`gMwy?=Ga&r{Lw$?J&c2jOak zy40${xGXlEe4pw;u5^CaD}U#Ja^(I>$ZY~=Qe(lH+KH26ksFd=$pYufWwTIP17|Sq z_U-YVJ-wdrtpiOmK;Vq(Brif7dunvX3uT^K??LmhjCX@z6q~2+fgn%)x;P2huQE7X zI_1=tw1=uI;sfp~sG<}%JN%FMmM8KK?OzMiZC6co)?9F#c_W7qF4$L>;0{iZ9hnQT z3RYq{(=UzECQ8;JL|eL{gI0c@bvJdI$!#Uxv3wXXAW=L#YHeg+@u`W*GjlJ zwvi>4nZCP?2E=JAkD>rK|9$o^zkB4uPqhfjpXZFqZ};uUUFoY#npM_${nXIhrBZ7F zY?(ZEno2K!A9aWB`R%tDfgNd^H+731)3h@gWWd9lo_o6@bw}2Vgqb z7A?B2i|rs6b+TISmQ1&oRiXWXcHSuf{}Sschom9!V1Jb)Y-Clf%bHbsO1N8MGo#9i zE>-2F{&?03rC)sTW1zKCy}&VuJ5Vga7 z+A)yNm@in!C{3F7=W;1mGw1z*31T6p?UF5jTM^!TNJOJQaTW_d?jkd|?8j{BX>$FI_M?^#(uCqth0BIT{fH$FzIl4s9g>2k zILw5GWl>>$EClm94)x4DRV|Edg!z-8o;eEVi?d&;=Js(O(68}upxR32)#qPD7@q8^@K5QwEY12hHOE5wSTaIZ&*sY+1 zRV`guvU&SqS@U%`f@iMAYrT7C0kFfr4)4z9c&~QNEsk}pHw32zXgoHR(8StfuAh;F zOW`I&1smTwX*r&51=Txg`RmPl4P3svoHQ=}RHb&OIc9-A`bpREYNl4<<;hgvXQ=9Sr9n(tL(nMmw?1T7#A5{K#W@-Z!`uNoA6nND*vBLLJ8isw zd^(U)3M*Ls5`SHBL$Ndxq0aWv7@BKA6V?Dp&3k>~3SJixjq zjhVPY-%v>z6NO)p0{Ki>SH141QFFdC^UvF+d1%JhzGyrO@Twkd&sB8MMW^3)8NBom zZRiGXzM`_vIM9dN(c-?h?mK()Dz)qVK;7KWoia=UoL$(;MGv%8ytEIGy$Ec41jvHG zgC&ppbQD~$AlsSX(s`WQBwp(nZ;@5-07md}oa#h1WTYk}0=o}_u`j*xV({J`!!VGu znK4!x@*1c#o7@Z`0gvxk27FON2gTfx+M_c4enps8y%TdoooAqHH;|;|m&3uo)(!vZ zpM~ka_zC~MwG{jYqv(P#wL%L-eto%|evkQ#>xJ1#b=Uo7!{H|D^vk90>h?G_dgVP| za>>FF^t5KRRWp9_cGxf_erbH=mfC7;YrTco+!*i7U<)!;$(7@>cXz^wn3Vfb$Fcub z4)}hp`q0PTedgu<-f6CtF}B~XU%U3QJ!9ScJn9z9fTiWwK?WXWuJcpj5v^g9hjyCT z;$AN5dA*;`t)c@o=TN~(==)*%?gCf5bH!QmW}0kJJ;4PQEu+fdc)nn8`^OV3j-8# zOx;+zPhC>nU?95cZaHjjXRg(F-X%otZpx*p#CyIb7=C6{>To636>RS45{< ztA^%)?$eX<+*Oqvw+8st){CMIlBv3g1v=$>p;{lS2>|u|_tO>jd9vrG-$Q;}Twd?X zehAf$Crl6)%ihMa<1LLbhd?k&!&c&VuHP|R?fhQ3eEF2_kqgqm@3okl5@#BE1CW}y zp6hqQS=Y!y(`3wK0b~>oEJD_1lmL{ET7A>!KNeH&fTUpy4s?h;R?KFa&8nW zFQnGO{+h+??X_&HPj|#}>Y_L0JTSA6Lce%zgQT?zAanBGa)rv)6CuH35pR}!y2)1e zwQ9YkRBM_Nf7ZiWrPgxNYOnLS?6p47XT_pg_$Y}$)=(Z0;eL93(yOF%?qpD)J`|?m zD_=3G&mT>!SC+p^JFAmWyiqW%s?)$pV^Egx& zkuFcRDquzCz7#%4uStzApiyg6ZM?5u8uJ3_Op5)ye%o+Fd*Doletk#(GT84;c8l;{ z3yI>sqR@llw2b9ssZHivqgwA=?Wnt-LbW@s$MNq{4FZ7&#Rju%zCDc6+Bn?p+FRsEGa+b)l` z`*J1zhFjVE#rN9f-h75!`S=)fZF{k2C3`QIL5BRt-ljK!O(QQJWpC{QjUJtzA86#H z2i&!Mco-K!Rx-!mb)qwy2JyB5cDeYz+q;{>;NEGumnQ5UXGi1KYNG3dL)ItTS$qUP zh}J!$DrOb&%GfYKO8WT4uz#-CFU8+{(}LL2>^KWne+vN?OU%ay{+>qI9mB9VTkyI$ z8IjoI39*G*X&bFeAO){qvR7VC8Oyokv_4Rn%DJ;i$xH$7eSRM&Mn{proc*ag`NH_y zd5inFG_0PzTCq{yhxnm~IjATPd%D3dH>)DABKVQ=G|IeZ=oXU10=1ZC8`9cyWd6Q3 z)sczdKebMG3+D#ER;fy?&ORE{@hXG-Y{Ml2ew_Hp-+65l(`!DV`x$+=5Te`O=Ww)e zrJumZrhK}9*Dlgqyz!0wnCe*JZcc#_Y69~>1D%xS$>a}B%p_nVk@#JFc zm-ianI2<`45OyjsP04s}yzy$E7LWQ-s5iJ}1wA3pKe_vcjp*5s-o%-2foL2iHN#0> z%tdGFTz4T8PtP9+zMOEl7ris~r*)khN7Qr3m9SNokMtlOz^=~m@54M3ukKoW9BliO z%ji_q`u>}(FFyRW6}%dt8oI^|9WuDKa&lgy?~YfnDF3&Muh`q)l?_aoNlU*!aD({m*ci`k(&wS7}$7|2DV* z{qN(oJVuLH=RjG)uyCZy>uYbYtF12V=!;)U^x>H_hqVLXu`A=-7r2q47~xf?Xt&#b*?$c1<`dIb-Cy55Hcsy9Pfd9)yK7ZelfF;h zng&_)J3V$1sqe#81jlb!QM1bO#Z%dAGtQ*l>LE$%8^i0!z1e46)x;-K$y&3%1^32* zLQBFTVXV@|ul4(c8n6@MPyl3TkF$={C;G4`T1?Q=AXimCRMd3$f8|HHyLJa41^i$w zdlf2!OZ6XEC7?E!(!rl2xzoPX^|8U^Ztg}bgVIq&BSv3H-_8W++MDxQ%Gj^%RiQ^* zW`Gc9i8gu{kYV{{`%t@Qm8Wq^)XkW6Ors|s)myO+MU01_-nKAu`;%J>=|pn-s=Ts@ zD8QG4o>(R9@-1kn+QmwZ4jcu%FF z7<@)^OFm(Xce5Q&d--)kP2ut-*kcEIkI%@<+!`l@D7EedY=nHiD*0q)Gk~re*6v|f1=K`wCn@a zfQdVda>4O8J6`Aa$m-~W^_0tqtChPQ0sT>(Wb_v$7}HyeXtdK4QhOPDMP?i{yI<&B zS{3ty@eDe*>O!oIW(#o<_fOJhoVa#E5f?V%?(9H0K4EqXSXC_FTz_5@Nr`e~z7#HN)vcJxyBAgi}jmC(mH->+*Fn{%y z8Kg%Ygc&I!gUX&7-M=rQ#vA%qL-9_ec-3V#;$IVNK zR)j@clugVymkcj$xp$ehcHNgLSqamY7}hVLL~$H348+H>Jw%))d3yo%j8$Hh**3_) zgx3lz$3GQ*_$Fo!C(!}8(xc{QJ)6%!m_e=RCN!Zz%+}phKAc&_KdssM()j{NpKsI6rGW?FQwGhF{q5E&H!@ z_1z9breQ7O8FTa6O^d`UI4!;-%u=$@fuFtuKS-olC)LfbnbOVy8a*jr3yquNpVC+B!`t*4^nuksh7CV3J zYg4ZKcP$!>_mlo^mj!C4H&xa38|ClaSUY3svUaU)$yS?TjjV(7VhdZs5;_q+N z9VsD?&%*L5qb_z#%F3!&Gz({@i0VPPP)2UawcH|DhIDu^?c%X_aEi`Jv)~J@(gl4L?I|IF6>z%Un zX(wj+TOhWsw$KKM5S`GIyGjo>IUy$N(AH&ZECFT`PLLKn9s?2BG zaT~=>P#ezu=D9Y1%v@vjqQMxD7K>tcW)O*tf72H>(-6TAD#ExJruKS@13Glx$mF## zB>&owf|;#-E@DpDlQ=M&ky|?Sbwc{jUDAR#ohLGvf>5en>&AU zKsV3YZ8-T*tKxC{o2vz@ghNjxsz_W(?67M&Tp^V%pU%k~dIN}W!Roe{Ph*~=?fM_c zs~8r5Z&OEX9C1t#P{>*;4&PCa1JBI>NC^f-&Tt+N7rUUA#y2YwReo4{Wd|>PJKm`B z;aWQ!!8`~I_GTUf{OmrzIE59uI>8xT8s&CI(P{tI?;g^u=btB3%4W|8km@nd8*~3t zrO?R6*%7yc; zQdV<_s4SYvnk}luOBKs*3m!uhf0wg0zuNp%^tM8=9Au);vGqE$zv>x=YBqBMSGODg z835VlzP*gl+usOy7`(^L20G%JNs?^$v#V1bh_1PRH6G0>Tk`tv%DNp@su#w47jtvT zy`(`oPnRE=LB?D|!moc>=2qZks%GrWuv>%swH|U&0R&B>j%Zd7y^%yu*@@8o)EW2j zK>rF!)d_tVYJ}l_?EH36_;q@vFIE@_L*7vifHI5oPo{T=g`Rs|!*Q^Oo#)!+v6yo_ zDpNs3VESjizQbzBcMm z;QpOJ#7(1xA6S+xioq= z0YHgfiOM|5j&EFzylEWh;W#j|Es|#XyfCgCm+RbT3CXr{$Ogvkxu9$nHv!p@-8bsf z;-B8BxO+g_)KRBnDwr@I(mDx4tV$_V_>s!z4sWaBndFrmqAZc(S7{x)x?z3YDio>DqHg1idCFYNoS(fa zf8-a5_1#pNamC?^?i1@0HVo*}HrGF2kpa%<)>Sh4VUaz{+rNe8FyWd6Qm-3LQ*3(& zW^tfeIJtf{pOXZ5CWP07{e;ZWkMH+8J%%z#&jc+WO0$Brq*v^qI+NEs`FweDt5wZL z{+3Kkx6JZl1NO!mj!l{64mp3QEV1}LRUm=XjBdM)3*Ke@UUu@zNb2+&pv@wnlJ(^{Usp^g?+hC|fs zPWJ$+nF@#v);PUbYFoEzeg}+xy3kL=8OrZB!uy4($YPIH7P!DDgErCr)S*iP#)}J8 znv64ld+BB?%o)1c0kQ4#OxGAdW9o(%Y#VB!DRR^6HS5Zll~V4U7ra5XL+R{qf*#XW zJk_{ipHI4_2lvu4NTa}3MszxRbp1}gOBohqg;V?!D;4@^Q_`x6-ki*{+)wr;;OSF{ zQUiD)PTQAmOXiwaKPccNLAYy3F(lMU_?8Jd;I>UJq)Ik;Y053kYI-Fkcj74Ij@ z9s(m1F=?r?q|H&zq7T0sYE;2}b1dH16So9*x9lhEN|$+Q6y&RU>GegA`tzzwcj21- zJW{x`7w>ElIB7u`Qv5T{BlKg3UW*??RWY^DAcN z4Sq$ujq9Yz^_6%KW+7aST;|xP*uWIA{gL)NtX-d78M{`ec3a}L=?z|)9zK<>wSnWE zCc&qc|GRb?)ApbbE89z9QoT_DL~b7&L7<$$o~T>;u3aG>y--kQKxeo)*fSW;|7|4FE4mke2HgbTm?Mmr@&-O#EN(+ww^p5!94e1#};u- z8~S^3c(H#Nb6I4=#&|M#R_E~o9X{;wX&7q7rarMSUypkU*60@MlYCy|dck(b!mZ@M zeTBI|Sss-y)n>w%5lGU0v~vwq(&{OUiVvg3R&MCM8DKj;$t&P6y(1E=xINj=gO~Da*K%^9!vLTj)iRx9)EI~RC~aHi*HZ?r4m1}}X8n{E zuP39LN6Lcw7umquD2LK(R5N7wUS`fseE_BL<8PR=0R>^n+uWKWZ$<_Q7417bkr&`q z2JNtKEt|7V`z)t=r|<#Ns<^RNZvB;|-5%Yujn@2=_F8@tOmpkop%7U-a21v)NIrB+ zx$jnIfK$x2f2%F@KB?D0-ZgJ8r}$0I7Z6cqdKKY(WX;-LV^(c+_KmGVFk4NBU;{ah zW<}pjduDgA>@2qfgW8{Nn5WL2tl)w+8e>V}i@*DCBMnSALQ6walV<;j=I=GoeMH3Z(am&gw92tx}= z*!Ut>a`!Rb{^$<@0aW#OpDbFGEM4b#rI0@0$%XasNMTymd^*Rz60UJvwN6fWIf6Z# zqALw|pYY9XhR79HWOWsB?NYl7VUF6~{Mjd%nJ*H~rVwNHafZ#%^oc$mK~(?wrMyP;EO6CX*XVDb}s-C^fi8=Xo(l1^IV; zQ2IOc0c_+&n$vkQ{X#ZtMg5>@Z$1a68#M6Q5~GO(-eN`}j5grjGg2`Ygese4yN0;WxLw-v;V)C3ZdZ`*E|E z*6cx6V#H?ITBSGId3iWbJDE` zW92#YOm*q&PVT)6f1{Rh=jto+`m{POc!e%wp)8@w9{$+&I9C>6ST0e&^Sh=?^tZg9 z*FOIB1*Kmoh12`$(G{g40lf4%=Jj<5M2Gy?y?CIHFVjqoh=5uS6)4L4;;4tAg4 z`GLm=;#0j)#Q~MueU~ddH)aNzg?PcZgWY{iDIlV}^~QYL=8*iU>2D9n@IjJ3kZsoG zphQ=~L*@<`j>{ODeBbQxnf{e+ao@kLAF%QPw)v%x%6-Z~%Eo$D7EgQe0CR)!kbZ=o z@oa8>KlwwqhAorLZsYzHEnr6p6aqY^omhoD3x{{)IAbo@m~p3O9cS8OJ&sn-y@Si0 zpSIwtIc3}LiEoiz^FFk)f8w8RNd=|DQg)0Gqwd~$An09D(XEyjs>VVilxlu5``DG= z@DTDbc#I~IeFoKOE~=~Jb8ZQ9B;pppi7t5 zVl~T_(lcA!ts9FZYIbi#{_z)nC)H1Ne>wmFP8e*0>@mJe$?o{IcV@4EHovLT4pj=3bzj!PFrt(is_^5D_3{}&mNe=!Lmutdj9*diCCk>RN|Z~bHS#Ik z#@&si+u=s9V0%+om$omq_UneE-9IO%a~WHG9}Fg!Hq%0L^1dB|?9Rn#@$E|LcS~gZ zjjFeW?kg62<#5pmTZp#AL!P^OY}h`0#tZAOLTK&1qMmzRb5rLIwO%7rb+yAt+ck=x z%{-pn-vr+nm=~nJhM6yW`(5@tMqh(ls1M1-rXD9>q*&WsEMMK0Gtap)3r2kpsPJ); zzz98kl>=+ATIr)Mq0fecQoymjT-Z?&^te~cf60B=EkW?YtFwb7`;80|@1xE-U(X$f ztksbH7_K(tBJ+w)^GfryT)Y^2SPmGn*EZ=m_BqNM!r1w`j9HGkJD`;~tkf&@xfqIb5W# z5Azi`?*d0pwu?H-ntY>oEHnmucJz%?ES;6>KKu#6PatkfjJ z@+2z4@Y?3@^y+#3;OU*IgLiPbIFb3;towYO(9d6nSS?#15y^G<6W4Zbl8LAF49Ztf z9EN#RnOo?T@HX|?hKbMy!m0suPG)D#xlqI2hho^*b?~uR+=)I=CH_glc3=IW%gNr6 zivvhboTJ);k&Kz$*1D9Zz8)A8TORTseEy-t3HNUhOVgVJ9m;v)GXjwbni-;LV`W(pl_|STmN&BX z$S-bP*dw7|t=$>6X};b{ zeeXcIx<>xi&2(`X&Sb19mNg)ANYNa+wEnX4=>5D^bI~(mUIQi!L9GC<_kX`+ms3z@CDJ!CHJ(-e~a$~9OX|&IP_b(j;usyYoSl$ z-32AqZCHe&MminLt*=!%#4Ov1)bcR6Z0>QzS+}B0=d7;cOKS~+)Ge~y#aYAebHe<# zms=z;yNbQ7R>>%+fDdr8A!uRl^LjCfRj1j`E)Z3}065~llo?r1iGAkY?~oIhr?`7C zRp>%RiYLlpn_3$Sr#tq4NKe{7#Pu#b++mx05}*ulT7b+%S_{6UvY;8CXWQXP7Jx_4 zJ$$>{=cz0f6Qg_3EVsdUe6NCgv2TlI<#z~v{sbe{zs1`CV`*jEKW29~Y4gFL5J9R@ zK6D!ksMLPGp=A%QF#3&&G<000dCo4tNYK#>Z{^`?^)YbL;l7!=q4~*Z$b{@(+;L}u&uP9@{|`}& z46QXDEj5e7{cp0mDWS-2vvpn^OY+7Dy22`_uRgrfIuSm2k-`X z<^$oHRseIPTc>QK8r*|&Au%_ZGC_+t<=YK;ux~0)elfC+q_+FZ9nMBFZ|kzwRoJgB z?b};8R*mvvM0cX56Fw)^Ea^ZPY}sEGWe(0l^POG0!tczZU-wq!q^~aM6X`ku?{upm zQJGzDR&!u! zI@z3eS#4`y$QX-_&9E|DRqNSvP2Fn$^+Ws5|MUOyumAPG|Lcv028TZy54VOUH82w8 zgn4W2Au}B>-=Foc)UE1+V^~$^(Q(^wz80mIYjwpvR9*=(e)iqc*UhMR-#OC=c;3W! zQap7RWTZnORYH%t10rmX(TO>wY<2Z;ua=ZC}aYRqa&Fkc?1tMiO-{$;bE8mO#uKFz1o%GWNcO&SHD|RtcvCwE}Is{@CYA4j_;729}-ET8bnw@Qcy-$qVjh;MRv94uN*e~ z?{=3RgH!wDUMOn6pEXxkgYq9n!&_4E&6E0t^>aBLeeiylLpnqrR5t0f6A&p#K|ZU= zYoaYTWmkj#|Fc%hTTG3J;@%HR*oC128!K8C8~f(Ge5DXQ8q`|*z4y{u}!aKXm9P09svft?yzhu7YCd%#fhrxqQ& z`B-RvyBR{CPt;eBG7eG;`0-m+5@}3i|qAOc*-7s*K#> z=L+3c_gvU0n%Ui21MT=EXd2xCPy_by0CH;`Ldh&Jt^0ZS)xrn3gG%mgJkHTgy>)kR zN*$+ezzttN#G|k^T6t=#Lqlnsg)5lg$3IS+UIk}3*ptC}m#a1x{WHt}f{iGe+l1J| zjR8^LT;t}Ynw@iB$>BU=+7o1|=0G;<-K9;1)K+B7^=tVnRF**4cH35awrrWs+ettaZU_Lwbae|R)B)b}ww zFN8y--MQ6l^}Q~NwOa26OJSNytF>OI@*3Npt1>6`6j9Qd@lxkmtI&;VNHx6pm73o> zN?kU2qvfK)`z`e(9b&R@%b0un*B8nAmd~9=C#m)LwZ;yf|BmCwV2X<`JNwrLSj_nF zR^i$P*o9KazqMbXS5)K6X4(H~rDKFF;aHMwCA9 zroSB5(=Y2(L%8;IpM?&OK<{f*S#-2Yd)!*L61Xtd5V$P~Tl;=@%coa0y5LN(8ggvEK%t%6o({bKtjc@wU5~roF-GP2{QJpYmck zDMS%9{ZWhVwpQnjMep}xilKfNZ>28#MwoYZrO%7ae5;3r1nkvra^!VS>5**`v`Oc& z;q-@ZcFMDaGtV^~LxUMpeT~NS;^VvKTRF|7Er+#hfZR}xTxTrq3h$N)cgJU;^QRIc zchRR7jx=msz(MEKgH@Nfl@F_qF#G1J)Z)I>^n3O_=m47m2@JigLvq|SF*n^yD~9Kg zLd=a3{v<+wm3QBz)%H+7o8$|NwQ5Ftv8*r%3iYx` zFpA@ahop(6YX%6F{PD63#KGhE>&6`EjaKLHgY;^>_3jWJnj?p+j#@BK7y^QGzFO=P zvVL72$E5U~H|h*u_*}^xKY{4e=)Re^P}6TexTk)fmKH|OYp8NxES_K_##}E;(Q^KP zV{cS5hjUAAsOt>mQo~8hI6Yuel(f%l&t6@A*Ve|`W$Em(FQ6AeB&_|M>ty)GhTWo^XtXTKIg4M7*6&ztlK%Ig`&~<)Qkh^z85ntA_h!Q6s;_I zUqAo$gA!eP74Htv$9qQ^E-I!Vfi!&gvHJP^p~W_eG+`^mGay>yi6oX#Fd1`m3Wiiy zw(JZ{ZjHe@y3;b~_ebxglYwnTfOo$g%R5+3=CCDU) zojw1X5DUueyVK!j7l-1@x||QcDU&hGf#$r{F&uW?=!_RU)z zRRL48Hjae%P${|9SOaP%QJnp|4iy2C3{7vp^_1Pj?UX$81g>e>)28@4n64jTK zjw;oY@dx}J`d4OT-QP6q?g?xNLkij7pIw@z69vEIC8S)x-#2Mz!Ky9^)8gQb2b8y{ z*@FWC+W}F!H5|&LR>Rw8_#i+X_gX!R#5lCLeVuO}$1KTgdygk?{s7-g1;@5mgQrZH zA_Pd5{n_J-SDZYCkb#IIV_hu$=m)=*H3KMw9~eSffta5hN88N-{7TN!lM@=7)^_4) z0E=S5;_7eVJ=qb@ot14>KDkBymM-LR@YRj+@|kymq$cr8O5C6)MJk_v2O?;{+@KI* zBleSTX@5U*KFvckId_X@N`g+0MZF0Veqs##St2`+Ts{Fn?T~P#_4Rmo$&JZ`va!*| zJS~PV*b_u!XJAN!MMk03i8@wVF*Bm=FywCs%`qOd^22V*G7IK$9-ORTz^W)n=t;7( z)o5H~{^-VCL!<*ue5SL(Xgky|rK(`&HfzM6@4ZHJrxAush8nyd9;Cf*u4mM4^!>#b zaX>;SzXvx5-}du-sWoz^GCmWMtZGwN(9Xg z2ELWAss8)*@A7Z|`hWlG&HwiHclgH$4Og2o{-~>UKPkL8e!ZLnVCl}A`ba=k&|5kb z%Uo~cg^z&c)5Rx!4|rrw%~;;Fl~c9)`92 zF_`ORrcngDgZ%z0-&(Ej^wi${LZ$96&#eqW-HVse{dVL_l>u99Wznm4xTou;6v2oF zgeEhpU5EHq7U)Inv;H=<(NPA+^jnk4eLtP99#K%~b=jZ~y$9~shWO_x!W8q0FvX%N z(@nVzhWZG^%iRU_*ItOH@2y~gt26h`U=yHpi|chTAtkOnGLL1Q-!5wx)_PaV1lBpp z-GQ_}l+YaY>u8HKp)MqpTtAJ-oA+Ax?XPH#AcXq8xAbY@kefu!HD}A2=fUPABWtPs9-ii1v*Jhvwi-=)vGa%C(rbVU25F&u=8GpH#mteP< z@tkV-KvHglu{zJba>Mx@ex-~ETVea5ozI)QlKE;@w-AvH)2jr&|7a5L$-qN^@KEKq z6MjsnY-ei>x7BRBd17{dSVL}Hs%D#V0r&kx^8D4&mUDy_jT$npMk4-(CUdF83K#=` zkLl!)o_P2ljx3X$^7?V*%DZ87zu#*0{6HQ`eN&g~7Lk|5b+*)4@ItqeR&!(DAJ>2{ zqy_Na+ivVm-FkJM3!ejmm`k2^SRU5xKf8D1jKQIF>4{VoVoE%wa_!#^SvOv{3WFqH zx5Bm|4c!Eu75nf|W-Iex1Yz3AR?j7Lrmhb%jh>D-YXcBa^m5tm@u`vJ%jC@2;N_^V zf3yQ2N2x~!tm!F8b;hKB#ceA=it^Ks<=D*W$M%X(mM4-~EQtJ1yylW?ng1@&hwcuB z=wH7^QkzI>1@$ksS@Upx7d)xGtqYHiKVRukPi|nnt2QneycI481!Il2npJ;i?OaA= zW%`|7M)Cgn(+?+t{CLya-??xY$H^@Ij8!S!gxvro$vJ3yT5P}QRSUDAm{D&B>=Iur z+;yig)|p*=ni-)VyrWWym!Iz(mRSANU*uQkSm|-guJWz(1|(SMgx$`TqleH5r30&r{)X)4Y5wpU%J#icRdQo+D(r}t+4Fa$a>Ea6~ zZ6hQ;kup{N{)~Jh?}uORQun_n=9RA4`tTaI8NN*1pxCxr@&#WrNW7nZ$NwA8C4 z(+c55B@`Lt}{_KjIW%<5qdh=J`$*|`ZR(s8zQI4rnzq;l-@+zAiePX}v z&_ilGxy!ZtTaMur{d#H}d~bz+>!6Fw8V;Q5a_iR05f^htgEs=7LJjO2l;UmZTrL?H z7G}#5qP+8`SHD-zrz}xfaWDTiA^|5-n50+Ydz6FTy=@vEujIHj{ou|@Vzy@d6-3E} zU#_#whw|z=*=LQxQ(f-cJHjgV{;qGXdHf+?vKZZ}$`D(|Tu%ONo#R-(dpJ}~IqtDA z7AK;W|9WQXhsX=exL`~zQ!8MhIEj*@-*SCp=^S&OFLO?TPV`&p3n4MpReG=}k#Bsr z-Wc=0-Xk;Z;#)==tv;M^?*b3)@@ELmJ%D<#>R!q3e!f7|KBu=(DIT&PrYku2^oLaD z&-Y+sq>s&1lFemfxfl%Ky>Q4*45OqsmdO31XiPw_qBcG6*B3k1Qaj|0N7thdNtQZB zr@r@+*0m^iAhO`&|6;=E4;{kbPUuMG-D zf5oY}>RrRr{IJ805cpnoE``>91(&Y;pB?`kVemAU^$#>oq2$1c{?vZ;=2?;02)aAp zF}@)-M^7bO*9!8<-gMkAe_ffh_D$r(JLIn^Nv)>8c4~xe-Q3@_$RF~?!%#s2{=C%- z9!fu-#pMQ%lE!rOqF=)|KP31CX0^V=-wXhvwmKV@G$0n1=hZn)h3s*Ad1j(7;{xX_ z4;2v)-NjN-$R#;YoMY&jPkVuIc+@f_JZ?kW9;s#2^>Z~DHxrJp?PfY0yqmAbur8@+ zGMFsjZzMdu)>Uj}lWJ|ZYXlulh#vMu``g=n^SYs+MvSf+aU6!*=IWF?h1nuII_RAj zK=r))*BPn#%B9h9n;6#U{mf7?`W~}8VumPp(3FF(L*v-mSDFLvnyVPIx>z4%moKQ0 zA=pji(%c4=VH=3Qaytdu`RwstDc=aa=qeaD(u06Ckz^SI#zULlayuohLNum3V z-kjda%B5_>nJYZ&PPul_KCPR~a?%d;BwfIl0fJ#g6BAG-V({&@AhESuXN&8@hVR5* zaTcs|b+>S!h5?$KCbD92(^CLC?upk8&i>!T1{?Rb0fMUjs=tfWyM0V9xY^$wp&>_* z%VL@m=hJ%S4*11_dKY7oHc9o0i zwzd&vvx3nTRLIDK%i+Apbh?@3ANTp^VoHmiY3A3R$Gl&h1L6^B&_v`M*t^oZ@G!uf z4C}&Yb#P8#jhx-XC{4$|rA*CE-4}Y@s1o;jHLVw86-a8jOYw&;g#!BTx10ar|M+LQ zMc4l0b_-!o?M7q>*ih!mfh}#_#i=;UWc^{oLeu}%Y8F{UKjrHpP~Qp)aVf6_AQEtG9y0ass-s-|jJ6koP8g6P!8*Cn}dWT7B%FrqcrJ3%``{NF-^wrQ!MPzw;uq$Fb^LQ*q zwez0j;5nd%&nzokDuDy%kW7b%3goS@o%YrBrfQOKR~+$`qhy(G@r~s{eVIqojF&}(dOpj{CJ~zgv*xiVy^EU z+5CGC_807Pd?edO(J4N5=V^SeLSST~W@$e%5-?E}gc(e7v=j%I_yw)r{_NcAa`1pq*etl&FS2@7pZd-VB$56`M&6+7@@){ZrbELz1~ z#1&NTidNN0dTQ{y3--JMQ_m{L*ygjeD~00FVH&(KImI^889tOgi7rTKv3{;EH8vJj zCy=gyG`9FH`z)gZPDlR$gX0@r-4fTl1Hwvu*rmK^AMQ|_o6+o59L<})kU#x7JO0*x z`|toA-Lincc|0Q~6SuAi3GeYhh0WDE@2EF!;3yE}Dw}Ne(eAyq)`HyahY+6M^<%)& zB}s#}Ep+OgXQ~st3JLarhR}D1OZ{7(M9FkSm!gTw0D~Kq<@a}5Wx3G~-u-{j2x@*2 zqVx+3&aW<>_vhv)&&7g^33JR2kzZ#Nku zl*^M-uIvBO{$0&;aO${vCHWv0?|{i#T$2}loO=UZI6Ys4q`WIg0X!K`VROvZ6s>$Z zXT-dI$LN9tCdKWbd0Vi-7%<-0%w{mg?AX{~ zi~-vi8?)HhY@>AKe@JnZKVs@kI~rwEibP72K2pk5QMyREPu?bP>hn9_vwXpRp8LM8 z&xfsaCYj#6w=M3-78@d~SeANR5ad}1@7(CYig)04)h%8qh4Z6_4>UqgV|&=lYs0`tZ-LY7iQORxP-yVac+mhQs>yuJGZea z^jeFQj76m6jrM11eY6xyrq^|0Ii0iZNQ-Ny<7`0xcH9*0x9%F~ z=~_w^q-*o?c(2g<+uxdSA0meFg{Sqnt>A+Xz0WK>t6J>t1b!^bdihipa%jKb$2}yq zpAm)WqQ;Cj@8SmA-M^4AyH<^w7ftk9V!)_RPgk-H2l?63Zh&p4muXyL^=;$(G~6sc zkt5gO8%zWrglJ?<(ph_axoF^XFr@H7fq?46+?IvAa?DqDtzxB@1e0Vld)eb*Y@E6r z+(O9gAzkd6ZOI6s4t>GvB09e3%*wLDUvRot8~P3AY-fL2yaD>9?l{#~s(WD0#e%<@ z8{>6l=o@3ReTTTKbd-trNX@|MXc*LQTf~MRu^>bBx4)Y&N&@FU0Xc+E>KF=Dr!PTn&gF`mmDJ*98BsUl%)$3m; zgTMJR{D1!V??3kM07zi&DFzEXQ_MEzVIe{a9lZ276zSFO=Gb% zaa7_r>P))d`3S+cPyp5Xq<*DZDImnn2BH$R>*5R4rQneNj;86X*c+$TY_&6?D|h*L z?P<#V)W#~xHh%yf^{MR)L;874Cs#&a8d?tC4T#wxo${yUajof4s}8kP9V$myDTsPe zel>wQmHHI&+CI#F=O0zC9dqsbS-cTT{83)V{&L=rx8mF0j4p01r!xDZ!!*gdzHYx> z#X?-JZsxU;lY6wvSrH%iXJJ%qoL=*k$y)em`1v3+wncJjK3>eYpqI0m7-x6q(LpbJ zeQ_S)_2{>W@=F|jFCUO&s}Q~Ux|d-GMC+37RvXYtOpj96Pk4%!ZCJ~+zYkNQ4v!X= zI~}_>ug#XI(bR!8@sMKr}Cw&(G)0 z(VOv2Wlz)9Z%ljPF=$|e?+7zvC*ALi6f4y+kSnrp4J?IOpC^m;#YS(JS)p2DPG6ob z50r<*HLlmjJHK64iV@@^7WOxSJv5g%%5pGp;%*S@)o5`j8*?+Mc^^0KCf;Q{b3J6d z_=eSGU3tap)Q?htd&R9v(UXeS=Y5pVBJrCQfOs7B<}ba-?xJN)sVyj=bfPp2Jp_heI*cGF*{PuuV5X8-20+j_dYntVd2HY3}2+Z~Q^bxYXMs8Q3hQgwn2?qz$N zSa<6j^k$!T6JnH|(GyLXL(ImIF8JC6T&)Z=XA?h!1X&%bk&E#_fxDs48bPjME<1bF zjXQn|Jo?;t;vDw#xtvzZ9iGv6?6^{a(W@l%aXJ)iym2r`Wo`d_9ACH=z!THbrOst3 z!IrLw)mgnNC2q00Wy_ZhYm{YrssQz_QALHyq+1sYf?(f=nY3qvl z*6X7bEXme+Qn2IStWPo}Z1Q5CQp#wBultoB773(r`()zF(&_NUvfBzQt|fsNkejBS z_IjhWq)>%vl{+o;ixXzaGAT*tbZF9H{P@$JzNh_V-n|H|+5YQqm_9cd^RMUZd|wRC z1+AF}^T14=FNw#_`tjg7`W6C_D zTO!2uVrQfVnBWJ;`S+GyQULQZ{f<|QZi{&f%WSWtl{zi2_6+BsO-4IhS9&U-fjy`> z_+?jnshO2QX3IuJ`>gbf}lV)<+NtgYn?nIqc*&6ri{H^7a*YMo{_eZ63m{r);)C{g1!v+<) z`(UZI3e$}(F3o%W&F`hR$J5-EbyH_&`#lbO0g^SsPa*s5rt0XW+@5sFx^j1tjC-5RXICvcs5nyhcrjc}uu8}#-Q+fvmZ_RIFQY>O5WjiE1W}_O=nluF*n_%R=1(v7KBHksbWv8?NlRe z{hB&Rsr;(J9T3Q@I|G~3zxBp?$OIl#Y_jDL!Zuyr?M~dI_9|UAGf0``@0CuQW@}Yk z1Oy3@)dF9oK(L)+&z*W#Ij)|kzo2~hW!|YC3$60AQp3iM*SF^kGf8bH5+EZv!mJdl z6Gfuf_vPwDm(ldA!1}0Vj(>ICRQ3%qIV>y$X{@@0=yzYDeHzuPp&?WG$0L39E-L`B zy5fG>qqXDf)B+hoxzv`VGW^3Em3Qkpzzk*Gk#5c%(ARASqGN8`+2n8#MAjdZ7WR}@ z zFkEvVwGBZ;_m(!w_1UzmmoUy$M0|56&H5lJ9GVSRrnT1oicj5J=E&Wi(eSj#ab?@g z=34#X<_M62Gdd<%^RsF6_OpKUW95W@qMV;;@!4_M6+ih}bN$YuQ>VI>X14e47=;wb z(b(={2hMhAZ)DhH>}Kctv&hpTK)Gep$Xf+UIhH{Dan8=xP^eVbUV2MJ)AWspC0EIf5r| zdjv_>#1opRAr$9xnmg~Z>S}&9J3md>0TJvt=f&nroJH?K4KfShPc9Vum6?I__-}2I6Q?fo|ByH{rcN*yJ(=W9Y zZy`F@fw$S^W-w|Edj)93C6_p=@$>)lQ^+rM5&7E_;pYGS>qN->ubXf{()r*L%yhF) zqQ4dfTEz5^E%MWwSFEMGd#+#98eS!*e)+nb``Zg5i?icsv6DNEDC{LRH-|vlb+n|y z9NlWB_un~4F20H-`IDmi2Kn9jcKFoD>l-jw0H|2(u) zwalTLJIpsn32hTEs*&0*oBGwdjLkHcAa|$QEiaB0krTceN1n8Pr(bf8~1jK%+Ik13J`kNJbS58R@!04dHUss z!t784*4x#m00XM(ux5Fu-&kAqEu(mupKB~zAVHGp8OProWaOk_to)~}48^r%SNM9! z9X{)4Vo)(h15mT^w91c<)nS#!)_dt=GCGAPN*@ubhV|#ER0GWc;`rX4GFIBs<$IcG zHFDK!xyKBL zc~g7aoI)IAU+8b6#uQFYfY&}d%;JMN$KJ7pme%F`bC}5(o!=t0H^>IEetqx$>h(+; zok8qEXt@!LeJJ0Q8AL8n zmFCk}RKm__eY;i$TtoeYe!m6y%lS3dmilMeyg@{PzSrzF?bd%py>ZzWs+CqVd8%m` zHE++hACvEkK{{-1s?gF*mN2!KxA`+(!hOfPJfjka}43(8oSUc%I7qQvd67LT04HtD$~bKfEJA8)b9eb^6lSs2V;&ERX?teeojhlShlja2 zXk@AQBD(PUL4gi9k!0+86w1i_BIikCCLtq4*E^jWcRJ91tFl=1AHP=RgrfSp6F-Mm z2km3+O~G%rvdirdCQQ$#R$Z1qcAEQSoMOCCZ=H7SgoFU)k>ymQ!k=drKkfPX`#E%~ zh6NMM+k$U<1pUZ|=Py_MO6NFg#!4)l$>I85neNM^RyzIJ~? zZ@dVW04WjHb)&M1(s%kR^}3h3r5RQuFAXYoKel zvj=6}Ho`@qcbUor0et znsoa^so~{*vtHfWEemQMMjj%#=O^lFIA#+VlU}Pu&@HxUuALmdoY22I@dcl1>1WYyE}k_-b3 zuU>1I{OF!1^C!*sGG(SadcKDJA{Lf?g zda_k>(x^M%c%#cYgRH)+kglx%`VH4%R;)fXZ5)oO4y<}`hRwBS-=*el$~pO{CzF+E z7`U@B7E$aEmE-2ju21~c8+xPJI;;(Xk<6LXcU5K&6FF&?3!RnJo|eP54WTUeY5n?$ zJ6uKDYd}?WXTEM2w7MLm$-%H!x)EG})L<^EHr^1HsWR~EyaJIPL*Zwo496%lYs-QxsV(HQU#RuPNmNp4OA&8%fDco{PkV zIJ>Fee%ca)S+3R=v4Pa59173}?ODz_A2+#Tz%SJ84wbY+ucFQHysQo5X-__%-;wCo zdt!WAZ{3I5Cp?}0=P>B}M}Pbu<=UVBpZCW<{PX@V{`i|;X+;RDI|?~PT3pRK+i-%{ z$31QZ=2vfpMqZd=Gf%6pzsU(VSnLXyN;})l@0I8DwToCtbci~5WbW_l2E+;-aqXFp z@xlK*L*A*?E9k@KI^QH#Pg-H{$n6kG45viN>4bARzwZ#&UjbMhNofl`<>{*dL&+B? zvdhuin>f$*u|PdSA)CCapK7HtJ!(1T16!2qx|o4%lCf*=CVLM)pN<9xUK?TC_?FxI zhsbNjP{KlQ)$F!yBa=D)fJ$Xy`snWwZ?oc-_}6G1TXjjA4rIaVQ`|5gyx*)J!QsAn zW{c2*nOtTuC%6$2uGYiwiNi!;oEcsq99hFrXEyyH<5JC#&t;k)NP)sGNKu4!O!Low z|1bZj{qQ^ZX#jvmHuJ&`?Y9Ks5bxKS)?wES+TutfV*3C;@!3JkKJNL8N1xm_kh_b( zeGHv#x6s4_7=7vOm7?akI7_9;q%FEb&Djlxsa~%zSUp;C5ghCLK~_pfk4f>O>RJO! z_l7i)sT^QMxNO#LE-aa~CnV0l-SS&a~RwK+(giP{>@ zu<2eb7*p%caw#TB+i-xsN#hhe!z;N}rF`x*CVKbJ|Mai^D9OcoB@2R-w1fCffzDk~ zo?&vb88-Ug?g|A9Z8yqX&kOay7n%;9@4X6t zI{*5QfBN^}H1p?w``3SRQ&aqQo+{sivETchufVZf{cgTW zw+u7V(Cid@5%RgIrRST4GE&!rgB>l}Pm-hwBdj<7}Qr4L<6)&$X~- zR5VRz56ITmyzA=$WA5S#(M4mUBqCmvKHBTjR?!W6OD#{YEyoCIftt7z1RHni8a1WM z!>2M9SI;C!!IMS3RadgPzU>zK%_F^yD%*b2qgJb_gJl4a!lN?SB@lhJ6>5YAIFE>)q!kMxM)A-D8`LQ#jt z+YcBC9q8S64E*y_8=dF9g69p-HEO+T9WH{SD0{QgECx@C=^ZEO!mnLvdttA$#QO(* zo_n_XMRp6AZdL`~D3`4AXgDpsvD>-F8s;Ul3KkWskfjFER&2DUl{Og)hSXl(7k7vd zrP|%?y)}M{RmRxsBTbC`OMU|$=fxtJ4`$iuGO%Orxt(RKK^PRR57-n`p-oI<_IpI}T{mo1DW9c=eQ^d8Qk^XVg&Lpbub9G5c)uF;vVdj02Zshy7 z)%0L5J&S40x5c=0pYc{&$o8?Xg>ojOT_jV7@tehg>BIACs z?sUkPTOF<*1%XIcqOzm(XUuvqdfe(!3Jxy_`cVSS!8ecBa2M9yLETSfPB}IAe;e73Y~m0Q1n~GX-Gc6D z(ki$OwE=;DX_N2o!ew(`K~AxjFU3DfC!NKGOy^;^5T=YfLOPv-C48Hg)@+3&0}qwEc^N_Lm%f6aTINi0<8tbKE-UmEX2elx95%JvMKP$#bfg?o?AN-|MUVsWPF-)fHRI zS_+d;eJzqZ=j8K5;+U7$!G^F}sGhREr_bypfR~)|bKd2%1 zUS6GAV}zs)3(IX29pIA@D%x*aNafrwm@_NAtL5?2?!gECAEEHWGB4 z_?GLd$ToA5!xtCuIVq9)`k9Z57fyyHT_EW_a%Ed&JA12AP;r4l>9zS zQ}TBd+N*=&CrzAt9@Po5kgD?IFZ(>RAD)Jf`V5bE&FX-*A-xT{A42+A6?)BEd8i!9 zIrzH>h@$T#S5SnP!Ei9}lIE0C6E5vTmtj0DCO-@K`ahxU5Co|?12K{!W8YjMqfu!A zWqfybPHw>hd-i)}DjEYvqHt;liDd3d>AcR|t;MLN!*uM|E|7$p!}oU8Ar}bS^hAeA zMIe%TO?K2p$T#jRQx0e+!5ZaHKRkB4iL$Dns@4@=i@S{K&fxMCU%wf6-p+bi`%B6D z1yb4%&BrPwfin`Rm*wRy(;L0<+$31zaOMO1847*XUbr#}>WLv9vK8R%=N z*!0D$J(nzVx$a6NdKek>{XV=8rOiiV+?=0PL8~lw8Xd4`x8<8L9V|z+rL%3P`TJ*( z@4sGldslCGjpZ1@zyg~cB0yJ!ytq1r-v zwG)7>KaJ(N@~xxFi;#r;sNerBnmC~Km~<}X+Zg`<;GxMw32Vbem_2Jf>E!q7-zrCzzDn$6C1}XL z{({%$ln(0R2LoULldevi6_-ipX4WS+^7A0+D%2+FOg6Wmy;3bItyZhdFoyR5x=ODw^x(^6)i{;>g$_evDx2bp-Oo;uA`tZJ`tmQnSq< z-BofIB|Gr?DFALB_X+ri@0SC@pn&qKSa^2)wu?|bn$KTck0@?tzXGoiuqdpo+V1fN zFJ5+gYB19a{vI25w~!aZYy3|0p>FJ|a3MU77mIlWK1rNknNSoesROC51YxD?+27of z7XZN`ckLvb?@x2Ut7XVZI^~pZy>zjXB?LZmQM{U8R6$gosGa9^{L9AmU6H%k#my!& z{2rbTB30|&r<p~CT9z&q8{3hr!Z50c>=R;|G~MT>doCvJ z`*=oghG-WLQ}cbT4Df^|l|r|J`x;d?s#+vdaI@?Z4A?AT{DT45vGz;y?KdFbx1|mH z;48ogrK0q$o?pe_25;%*Jbft#X-2$f74q>qFAL#eed~OB%TiPy6k_QcSqiy>Z%gfU ztoH7$njQH)NbR7b&VqN2m$_KUZUM$LI2|znK0wKBR*_HHk!P}%QxLa)g-2I8y-K}t|6N3*QDPX zGcA*0<%ZT3sKJ9RFD^^qgK0`_ZeK6wVViuDVRzv^KR9}2U)$5fZ)g|J`MqLrBs>~g zgOaPmI+Nm{j>MhjGA*v*9rq#0Y@4ncyQ5N12iPf(l%IKY@1E==msR)uHS|rgkVPz< z+w6o4kJrbhFsv&?u};%ux2UYHH|w5z*Hd0*)YME~pE}-KpcdIN+~!MmcK*|msI^9A zSB1>%=9=H4{iZ(vWOb&u*TyJw%v_t(mpWUIQK2>y0&iRxgY_sb-LUNGGgfz{tf9W! znXdf4#wIEm?8dreXR-7>x zOT{y5o|@x1H{0`Y`Cm5l-Yo0x()UIFlN+4A>4#zEy~n+l1ff1N-g`(&udr=o-(Pya zbz_&+Qf`FaKO5oDdZ~CH**#9HCs4((!T?Whg0Gk4cP~L8X6_~CO(3W{JROp1{dYdR z1E^GdxUcLTR|r`+ZyK#SL%xBwf)KK<}aS`VDMr&UGlXzu(^Oc8z+{hAKLNIjg#mrc5lUJim@d3;4S%H4Q+ev z2PR_`yEEnC+?CH%LK1DoJ1QMtPY6#AM4>zViy?!3VFjnJ^Lso4Xu41sb;5wkr61O> zmmVru^|@ntUDXD-Q13g%@=lRyeGPm7q0m| z_X_qpR^tLwgXQ9U_xf@jg8P9c^wSa7ZBO^v&%MEukS9x0R(cR-J?_m(BX~iJ6#6dK ze{T!~#FsU$5>+GM5^T8Jt$=6PQ8hv{Q#(s*JWyuSe^^YZUVDYmAOj_G?MxxFNwI2B z2PAjA<-_al>CE5DmRk()t6F3Zd}qGfY7ld_#trNYV27!2g~rNE&7`bC4`{D^=bb%* z)JL_Z=To4M$hYco zsgM4q>wG8o(I9coNUgtGqT+{K6~CFuUsufk>z~vA>5tprhrQ_EjjDfO$L2UZSZUr9 z13hj3-EWEaf zkm^;&clsL6C!@+mviQ+Wv(YBrX*H_-ZtV?c#I#EkUK0Rvc+|j9TgMW)nRwaR2^*F^ zTW&S*F0&NYrNKRQT|jMa5=T-O^*2N`4*4G2F>=9g_-e6>=8(1DDj=;M)hLI%T!-3#X>9im_5-V`s#C~Z>PC?$=dzh9s8&wyVR7#Z!0YNqa{%E@ z&&;Jz7>&(lU(K@@IWrwy=h9nsge8Y?^l+Q|<|FWX0tRZ9T}f$L!XHX zOeyu{tIx*#$Jh#zd5X-|v$GfkhoD!#+DPX4n8>eE72eAEnQ&mgAHa;?AR?g_kzO%2G8xjc7YxEjX^Tq}j~F&#>l2&wa=%I+5ZE(4RYjC^lzw4+KM6Dm z0;77pqwiO*loXw3wO!U11-zD9RCj1oeddLru@X!e#&NIlb3&Pbpmi}Re+d?3Kq1dh z8K?-(c~&=<*514o# zpIkg^pG-ETK53@FQuldT&3RDH2NnL^R-SKqbi7>&8f!0&9M-}FVY9ZVz!BFq9hRii zT7tzdy7T36Z%qe zFgE8-1}Wrp@64ssH+xxP?&=V&u;tcrQPZAm+qxBI9f=Nw3btzdDLc34KwLnfDyT)OG_-*R(o3Q;-^OdDaFMl$~f1SOu zI9(pS@$goFGsM|2j>>#dp;@&xZeN;8e1-Q;v8QbBuQVPoIML2LDY3REWsOYN)ZqXG3hC$q-wXd-!j<*C7zIP{}hh#-m+6 zP37Oqj8&U3KDt7vQ!d^7ID?|{Bzj78KMU>Rn!J@3og+Kno19jgE!Ms5Vwhd0VtV@e zblz`_xTSAa_V`Bqg#fF2zgf<1nM>0nA7cfJbM)vGbj-4bUh%^E=g5ymcOP0~Dd(qi zs_iN%E86so!&J}`X|sFWq!OK+D0d6I`eZs=AJz;~3HR{-jBmX9>+?L-)RQy=T;MZQ zftsvVBh3AEtE1IIf3hjs*D7wfqjPm|38@ZZFLrPpEJyB#yf z^cQ4jqrFJf48l$ypory)Gja?sHu7>E`ik>eRr^UA>0NAZg9LB%2CndqxV-G%jm_u; zdeT9eyf5b4LXw+!t?#t|Zk?2)kzhr1wpxK*Y7vg2V)mrZ?XoFzP5Sprs890aDbDVzbuNHg#P0PJtryUO-IpZ)lkIpCs&SdnaM7@jEKST>DpoeUpdQLpv4Kh7#hs^VQMXTPETBnWkIF6zR8+>td?$h=wv>p>sqk_R-mGTco|HI3njHulDAZJ{xD# zKe3Qt$uicom8~!0k61XU+_AW<_J-W94q3BSJsZ!|Z!K;Pk2hVyDho%Je0!Tz{1g~>_ua;O9;n4Vd=fxTpT_)FWc{9Sf<7%K z)H_cpnRjRkpItjBxKKEqb{+#&K|MYt;``?N#>6P~>Wo!hHPv~cn7O$FHOCNIzRMSC zg)zB6&;3KJkNK*a-z<|cfX&+4ik{5Qhfa{H>-zV5yvd(!{p?;1I2+As!m;&}PVrLq zSh4M|ZzU>0>yWSc=JRmVtGB~I$a%k zfTeao!W?eT4rbxIBAr3|=Dq`8GO0gq8WKZb&vbXW9&j}a1Ee)sr{rA@7@9@@N50Ki;I>x~rKc_AK9%CwOby-v}V$b63X+5bcy~FW(`rp6X`I zTxgccc7$AIxqMP5PS{txcQI9NrC|RJ4uf&qisp{xgOoDmAJb2MdLC*E-v?~_Gnme* z65zilCVtgfeK)fZ{(?r66O6mHmC zZr1UFDowE7{5YFq%=LAK#Z!F?+{1(Y6&zz-$$b9jmFG|TzXG*`r7C}i+Hw3u?N0Ai zTj$D(y}n|&*gMr<2gDrT?G3ld)@E{>&k|9nPiv>g@hf;)e}?slO%{{V25q=VZNc`O zp3p411Gh%rpvq4$$9qYiqt+Wq!)-#F& z%a8WOfiaFo1R}q**4THuT)EPAisLi!79fa%7mrtb`#b9`>(oY~Q>&sqRvnOBT_J8W zo6y@s=T*KBA|L`|^C~=^Kr!o#3;g>-TQYVJv$L?4DZCpia+ROq=va<;X%^!AuvUb!^t-SXf?Z|mFipKWIi0rgEKc~3Mu=QSHi=9I=IgT6<^U%0xeRL)3U$GdS49c#G;R4Q`2Vh95pZH zFbgGn2P*aU&4T4J_3etqPEtMzpCRX0*tSf~#&)T9+@|?vEVtTmb-hBiUR`*61%t>G z!bw0~mK{or479#@2NS%Ok@h=up4#jK-9t^KpB9X7Am8 zDn`wqp?0K59GvNs4=++DBrD0`FHu!3f|bLYKg1kV6Z`(%^K!h#HlBOME@Ah_9rM*U zYDwL#y)%sTMPD|1VtYRYpzuL(Q%simuJ&I^W`eK3ZmoWG{&e4$l!TRyMK#xVPLQ(l zd>-fU>8I9kdqpYayt}Rh*!eYj6iv^Kj@G&>Y*5@OHJ|1#Tv5z~Oy$|ax_)i5n7g)C z%lhSNW<{?xG})Zoy5_F?k);<8Gj4b9Nh<@u`G;}d2vGia*J~A_Um#GTOZ4Y5wZ5X4 z9y(e@*lwAhUO123?qWt|pgxk@p03e;=jAf|VDKn38lQLi1j80KHy~qOcq@$lg-E@H_x62ze)d|dt%P1@LqJyTuV5gZMTTH^PVb4{O2x-m zb+5bYXWj)xTO+rhPqB=6SwJ3IWFDonie7v9^?9r|HV`q>ZlzzbPzUaX+N|_SM714N zUz3S+%%5|Y6E!_xQ>d}MYA4K}?i-#Xsh1jtE6kaO4Myf2I**y7<%a$R=# z8LU}o)Au*m%&~x7XRS#|%W1o1WjHC%;H_U?yMrW^n^&BspQ9uM06$KOp6i`$Y6-5yI!@u^k8FMSrP9r;z zEy+$~Rg!CDbTU`EU%g-B^;Nj<>pIWlIE|wdV9!HDW02AVnHl(?zlrMgIUh zN%@?)RmfUm-X@Eo(^&jXuKn4HWiI)36RDlq7eD9#weyqlM3>fWIKE2HXgpj3ngZTY zIY=g6PK`~*R-k8?u0I+DsZ9cJy;>IZ$mjRLgl)4ETcIlTFSdfaN@aNJ-H%P^=j|r- z{UX_79V7XL6EP+?;$!dqWhr*r_wvQCf!qvp=7W98JLJdo4R3o4Ca*DWjWcaJmp1E% zadL^5X)?*_+Z9_&t^L5G2>TfB7 zDaRWbkD>V=zJkod!2;{}_d~WbTIz{L%-v5Li#W*L;?61f<%!PSYF&is4mtr^5lfuG zorXUCj&>r#EZlzXyr%)eJ%+W6{#v5edVMT^3Ls7aG3p8J%wS;9k%bZ3KOB<$sN8;= zF5erqnx&fDavq()CwuC3^aqgM@!V5^Gs^PLsqxv9v-vxh-DWjV zJ8k@sar(cmFoE|tK;GiIQ}un=M#`;XvmWk(XJ_YZr%%77U@ul|tqdBdO5?Lw73P_< zxEJor=%}y)vcCR$L%3FBuGjlZyWnhGPsGvkVdQh8(jL#$44&62NrLWU7yFvC^Vw;qZ@~KNZn2ixNiND~pqEJV2|*Yp1?0V)=U!)qB7wZ&BHt)U~SgNv(o^-mYNBXRCbuw{Lon8}K36_sh6@UM@;^Scv>L|M<`U{=fX+|LOny zqbTmbiruxs$Sh<>|1Z1exc{E_DFRgfNz1U%Dfb+iz!l9ws$+&UQsT1vPF~N+dlJ#j za%qf`y4`Hdq1!jFxie<-ofJ;>ZhN-*Q^ec2a^bWd{%j4DZ<&Y`@Xlrq;6lil(p_95Jh? z4Ir)2{;cQ4gp4yNHQIl{9|?n>7i_uc$7k@7Twcqvy>IR(mT13f9^KmNgk^e{@Tg>R zJF|X?OE{NoAA8D(0cs|N^nNhtI&vkBbK2*CUc1@TE#YxYtjI<>#*RS`s+^_+ESPscMc&z7Z5@h2yXWjAmkDvk05thde4cH?H&1_uR1qhO_gj zxvlXARbEod9ADeCRX_>~7_N`r-1^zD9VUJp8bacVC?B8M_FI|nt9tnc`qN@|=L~Oc zh$}6+)h7l5pc>Y`;U+RlXUb<`X07pdSo=kzbQdaqCHh9qoR(vB?`gy-Rz#3Rc zx$@o)d$Tw7tgU)VSY^AqK0Yu!rn{VwEw-5t#POG%a-D<)BG+S!^Xtw zaiX)I(QSHbloJ3#sv$gicSrHmS+b=mTL{<2_YpFW1)M#`$)HY_*=5!*c9&9aY0 zF6lc#yEh!GO2%9$pbNZew7nj7j~7)Za&@AMw}TqTl%xKB+n9>0<~v^M@^%;gCHp+2 zvku#$sBJlj0N>`R)s1l$QjUcqNo?ytsXBfgSd*o$a7>lX{pNoXB%H=-zDgF~0c>*M{?5&BPwpfaYxCK89R1|vkJv`z z&4=WGK!1lm{D=wO_vxB^Ql2Vb$4F_pNuD>qfF&82>EvY9EuzmAHt%%0x+M+bYoC~F zkF3<0zBJ`Gj@B~-QA*f$>j`@42Dn@3tc_pmt2%%uy~);U-D_q>xG$#dpA6<)`Ky&- z!mf{sM$J)fts(o+e~K{Yb8CA)1%wfipJcN=4taeJ`+IIGYxbznn5^b(G>TXqz;oIN zjA7$CpF3&24);^~K6C#QIs{@xt6JX^lSbt<>3scJvHsQKUFF)=DOM1Me&*5HQ(Mn9LbY7x zB1x&~cjY+C=9ot?ri&}D%w5c=WDJO0yTmOPY~W`CBpiP3ZKU(lZ%@1RFz7>D z4IBQY3j22Tp~08)b#LfwkDgCSDtG@pd7{H_+h=>37RSnP6<>EvP#*_y9D^HRbnj)Q z(SB^B*kGMugdZc5N+@+=I3~y5MCXUYecVq8XjI}Tfm~*Rc>f$GXJ7W?03l=+r zec&XiCF^aODdjpNu~z1-SP7<9@d8}a(QDNE&_fZ!4qM&LB7h6LbZTdM)WA!oy3HlU z{m_bUo$?^#;n!g>%vB4mP4AAFDCHI@nFb7gPc9_S#DN5i%jq8Jlm7#&al!(%?DUx8J`P`8u=xOK8H7e zN%ze6#xpA3U_c}Dp!}}y_E-6-G}lYxE5EK;=BoiF(QsdSI_gBD%ba}dA9tj~HXrF3 z+4z0`ueO-AfUo}>}IFlmWD9>wh zcf;1^Ovjk*aQj5nD0`E>>VGV^y5tjn>&fq%yvsK1;Oc%S>0x;V&-DlwQHd#DOGKpN z=W&950g_)B`UqAX_eL7+vh~W+riC>H=kKSRr8wks?Ls$$=i-m9j!b;e6%qLBx z+K^Xsx~TQ!Yu-{T18tJjGuKl4^>>7^KvzbG7M^W95gsHzJz}@GHoBnFd1Lqo?4?vI zfs?0y+Sp@=eVl{Zo4*=hv>}w4yhWevaN}Au(sdO+|=UR6L_mtow zG%BkGz)ATw$+ox8ZiFoeE(3u3b}zZ*JsR))DnETLo_oZMCED#hU6voqY2~Iw$b8(D zKdD4ts%iEXp3ctUX%W+2y(mx3Prc_ib5B|c>YH@OkojZHzp>r0c8APOO6=-4^Q{#e z?~8~;Rr}W^WcT0w}9QO2H^cOu^I4t{kj5$__k-9_zoIirOspXjj|wY$Uz@8C>72bmH=Y zfcOQ#P_2tOIKEwUG9>}6G{^%Mtkh$G7j|f$vs&F6L4(@498vnPsCD}wRCO$1PY>I- zA!=;v<06Rr4rQ$6I~bek_is*lw0E&img~&Pv!o9Gj-%1J|9!GE432+;I76A4jCD#=An&CH`$sQI^p@^?HbHwWr0E3d^kZ3+F&k_p&Es=@ff-D= z$B@g>bY}DVjb~&EwqLFX7^d@{dGV7**{7&$!RY6i{h!}&!Rw;m#fHWHy!C#ZsTs7` z9N*rLC}qjt8j1<|g;&i-w9uS~@no-NwXlK#%k!q4(RzJ~>7U_nyZ-Dq)FCE>;v@H_ zvsPQOJt%BKSSh2G&{J@1wt)?{QtD(9<suzap=P|_V#JodBv01100@@$c;5S+E=4`d50qBxjZ(Sy zo#~6A&)pMduy|vck=t?xjYckNR$HhwU!#pC)vN!LC4cynKGqb9ZyhAt10c)n@SJ<~ z@@YzJ)eJ73lS6nk{qSqnc?4?`m0`oUJ%~MH(jDr0x``$Y(sD=qdFH$E-NoHz`|El& zqg6iC=wX-JJzDqqlEAvYIjP zG-QOz63~l>HwZZzj}GCjQsbBHC9`eJq?tPFY-HAZWZCwvocrU|5^-DP=ng#`z^zPh z?XC>))vHdH-pkyCGCP&zq+q?qu)L7f-SoB5PV@n#hta3rHh?X zw8mCth@-V>zHxC1@^2zQU+}R&^0knRbJ-KICpskmnzK`RmFfNs{Bp5)>j-WGzfkI< zx3NJkRE%9WJxY1)_z~ix2z5y-><3!aQ&WMTj;MNj{fexk$Bp+R+kSRm5@{ym>p%<4 zJ!NbCc(@tRL8FzM-O-xVyxeUdgyKQ>yE*vdJ}AZCdcP%9?BC)K{kormdp$lEf%1;D ze*d}H8Q80-?w0qNPW1==II}!WX;V~dMn=Wwp|IU@aSqJLuel4JwR91mO;7+)tDF?i zsWQ1NKuKDR)Y6d|L;insk)t!Djj)O+cFMnxS~FJCgA#ZzIP z7xD$cnS;$rhd(_RNOai*Dn$cvU_e}AvBGe-%fJ*8--qxw%<`cK7z< zlOf8z^|wwubM50)p<9pcX?^j+1d;H_>I#TLIIoIG>MjRrpnr#3Eifk8%)xvkFF(rT z-n;^@s_tE&!xb-j?(3cHl%<`%jHO-3x?X;58zKU4#=SItL7Og1{e>O-)vB(wGkmj~ zKTeT$Bv-7Idh+%w^wo2hfg67aH?FUuO6{FR z>3sVd!6;>dKB_``Y`9>aR-sA%Kh({$w%--@r4KF zp6RDztzYKrsGr)XjW$J@8ajMAbe-Uucxl?r%7boSJ#XRk zHJ{j@`u*ZI#4fLz^ssV`@tnVo%%;4g$Cr%Qt`95sZ@5|_eLp@dd;R?1xY3So?7Q$Q z`FO@YQh_j}H}xv!Y`v3QVMI-uN-;d^0YI{z?x)jf?L!R2v`D-4T`ldd5&vU7_Dq$q@Vf-&K8xRXy+LY%HI@=ojZH~RtZM1dH zt7_8L(#@ExNLy)9x>bed=xiUE0^Zv7R!U0~d<-PVyUdMi@z%b6U$=&2$ntf|XzAxF z4O9bn&k%VnzYFz;RCh)+^m%Ur7q)7nBfvwBFXj_{r$n@5)OV%Dv8_dB{WqvYI{uXv zcyQB>vc|Lm=xs*lO@eB|$FWT;)2}_Z;N?a$bt9McCS@EBWz^YlJHKO~u=RVfyz$4) zM(?1`w}oEfW1Wa)cK%6P8OmiUz6NRQ84l>qn4I<`Y;z*(ok{TnI^BR->u{^u+BGlQ zB1P8zDRgS2H_bO__34jcV)&|!?>F{WoAkF^WWS`5?hFLDmC8YOqb zoY%kq@BhO;kiTIvj<4n1bsH5<+qtF;$veW+iWxBcLeC$P>IH94oMr)s&UV$(IitN<k&Zbhn9=ZD02#` zpI_9DPT?|GJid!RwYwIF7O=iokLx`rn5QVHL{O0G+Q=%iWdd?xzH(Tc6j9wbP& zo7ps($tsD*c{G=T=+~%~@PM^?C_gxNb!Vcs`uV7I|J9Cdn$G76Woc_?ZYsjh^E;d~ z`+)Tz9K3t!v-|3v0jJM4gHZVa~Sap0}@PhS>@6dDAIC9NpQfSKXR( z$0`8U48fl(C+Oeva#7<{$l_Fo<$Dcbm>h%e(EYo1b(}3%zP2-SOK;=oG4=_EOsl~o z@#L0}@lNYOvX9l}A0w^`;Jq2lhi`j>iI|YnN$Yw3F6-|^P=BYUcFhqfiVOY|m_eEG zx|Q7gqF<=2#OU23&dpq_|5XpkD0X|Za&R74<;_bI-bGLZ!K0|-hB>xz+k+VW#xCEh zlbY)U)8}K`XwIiaTmR$8^?JL^s{Q_?v>xG$*?PcpV)??|(5DFevDHSj%I~4pUhm2^ zuWIEjv=+uEV%XfsQMI;;m?knr@+IzhuFjrY^|LIu>h~c~cVCh2jKxQMW4Rj_`@ro!*&vvy0^XG00tlGd=jCV$O-|^$1MjGC z5?gOj_41uez8kj$Qj-6?>QSAbM>72!vx65j)vvvZw7A>N>44kn^$T2Z!r*9SQO7%M zKj+3fr2TD{0kBc;!33x6dO4L#SiJ>!?%^?n$}H>VH(2cw-wAjavfo~7jNZ64F%jlq z0OQeXK?}zVpxnOS{RNNzeREs7>#uX0HGq@ zIYhGB=*k*)unogoRtKjd-+X2Uit(cOHIL8{{j#O^YI~iL_zt?L{ml;?E8WZNC(fQ~ z10c-hq~H6-*cL3N01>#&T6INAv%YvYhoI-TGv)S5;d)hk(5DJ^_nptfzih{8sP*wTkl zpKQeBaWFXSO7GrotPjq?)`zp%>$33bb>?Y%#ThgIu%2Y4ukm#+_`&-H1f+Je+>i|v z9Z5n@rNmmjC3Oh=1vX2}@H>xY;p+@0gFoN#>FN5}Qy&~01#lfwW4L|UhzDCWhbduLt8_B%Hi_^gR8r_xpi) zuAqV3EuY|SFcL{cb*RTOMbg)tm;!B9vrzmBRu9!Idj3bY=1J7pLAt-{g`^F z_#KS9eto~x#iBuhr28zhdTn>NbJ;V9q0g~H7wOz4=UH=cE_Yq0-tFac8e^VWiB&)` z+9gK)cys<-Cb#v1%DKU~6v@EE(@wAzP>)Tbk^keea}9_KhFIHE52hpM8^59b3x0!K z3IEM4Y;fgE6<8-o&e%o-_*~bWiwc;1C z@sPY|Ma54CkNd?@N!uZx?R|=4w_SvNK=^tOkqJcTG%A1VwJXc5TW}tRv+EgO6hAjU z`N-GENK2W`tTTMy`cl+qgUi;`xCw}@qE0WS@f{y&xbL!*!MZ06^tY9*nSojjr)8k!kk>* zrk}E+&bPe=DV3}H6_I3`u-ZM)ZJZhR!nzDL3ZPtv+P!-%!LqhHn$J(ifnAWbGF`1Y z({m2C%6nkG8M7gFtDbu$WKs3fcw3z|=)>Wls13_s?zY&EEQ2Is-2cAu3S!xeX}WUYEm#yk7u52`J@8A_rJs?bXE-!HzAUa$M? z%D+4<2cTE>YZ9%IiYz9?q@Y9A1pA)p%Xz1am|JfyH{bO8f~2t7RI%=Mx@mSZmr`+) zsavKkvYE1$9O&~8Tn|9QUOej=>=5BPPOgLC(kB6s_jh@;EX$ul3H7Fb7~;f^zOBzF z$!A~f-?}WUP2`cyB}R4SAm9Fk95^wIZv<_5xi#s{i2@y^Tu~D4*E`dVL3C(z>vlsh z<3|rGRm$ah1!3a+YRWpqTTU71%rB}Zph^n}J#YBgd;f0@LOm@V4R1_o70qjpcH4J! z!`LOzSPIX|8QpWJTA(Kulfg~(Lz@SCF@9zDleI8F=ZoxJkIgIbI^a!0r}S`4&$6_`G-@? zEz@7FJ8OKZd25!?jk>Pi^MHO%hsOHuXAypBl?Ua_;N*`SHdFh3>gIGtCpApbwqL`W zg-KKCn)(r|QY1RLSNy(Ltv>M85!pe+br@Q!XOk{?Oe-t#?S}{R^lBW%j*qnN7M~dBQulOxwaYbV4y>Z5f^`49C;6a`yF_+R5zmD4N42?4b&$8^Mg7Ht3uyg59$MQ^?(lhLJ(_y-2pmn{9rzc- zH%K)^%XfAbPBQvrzqArsSi2flm^T1IIh7z+vx^#>PrSMaE4BZy3fV65&r&f$q;rfG z9Li?V%Xxn%I_ef;5Pr-#R0e#z#Zp9PY&LV9>=d_kq#r7o&3Jq%xWu)^J(sOVrv$0h zrcu9$dsRX*c6>u`^sXGuxTdE}d@-Rja()1|`r<@agqa-Bae`)47r5@K)Qde23kYxLb~u z1?9|g%gqa~410aD#vYLAV3;^nE&^}N^0Zq%pr9{XWm3l6f->FziK87hwF`H)X%ubu zOnE!uoqePeF+ z(8ns~QZ$3h_a|RQ^<`HCRL4UsruF*0YQ!Sy$bDn-GxiB%b}|F!uP+2%duT_V`wQp| zz9(+x#6ULGt$0yKrz?}MF!djKWLE2Gal9@a0A$u2*JBs7tG7v}!WfT#@|z92G?Qu1 z27P7btCua^3MA=H)?xyljJohvrHPh|%QNjUtnRXL`SvEZ(9Ur>f0SZb_FB)r>m0ec zVZ|`cf(9}_22g?5p5-6d^K8XXC3*mW;#Xdc_p@!Wf{ELsvc7mZIfq9c<63gFoR7}% zw4Su07go+XrSUQ)Mfg+-V2cio{(K63r9nRSq^pDg`0iRV+$T$ff6qdBvPlnbNx%J2 zw?xbK;=HsU>l!ZH%#$^ENqQ0cdgF%a%`hASYIKLW*OELin}K<&EWA<(hOphe{E4lP zYiB*vZV`)iwRjs8M-Lhs?pV1eL>pwZN#o^&pU81s5+sLYV4^QzUdvF`aMNQaz zhG)5*!h}p(3TFP$z6dZ0XtxO#yMPe=ONrDcgKjTXb@8FcMM1yT4#mGp#U+j97TJER zndoZQY;!u!{*LBZUNBUk?@q%*k%2WNiM%L_uDI)37MMfgqV%c}h29&Vg4*3MAV*CZ z?d)%N2!)byUU&l^0NABoAlvx8p+1;l?pWlM60s;Hwm%y$ZfSSY{$|O))0}N?=++`U zG5J!LWWwL@qA5GRXZwzPf1$loz{aP>vtM>na3r{$XXldJ@h3l}3K93&SZwGPv0#o! zB+2!W8VDP7bap$Q+-PoPFS#yS%ipm38lscw_ysJp86n{-ia2J!_gsPf+Z|B*TFPoW z%df#rqw!Xz_4?rXUV}|J2N9XH(!E_QFOd9i^v>SX%PzeQ@?X!%@YBh@%)&p^{6vy9 z^tg2z&`FVy&vf@~q~ls%w$rXLJml3PDJe|G8?RPqT_Ja8e(g`&b5pnl-M`FbBAI}c z;1l3q?uHl{RIzal7AkzPDRc?VRuf5O76zrl4p1j#Jk&YG%Q|6 z-R0~CzK$<6T8_P&BOXdz9%{g!C^W|>zJ~XUlLDd=Tou#t%sfK`Ss3y@E>vccZnWcQ z&A#t$L7+do+VYcYX3$(6kVcgIuZt!^!bP)M`~O}vp+eT~<};&0-U=&2NPKLhBBWJ2 zg{mg;t75I`whJCe)M88TLJ4b7?Y)fsgJ6?EC?cEz^SIMuac^RQ14=Ui_R zdBqS8{4{>DS9a!il2g8KhGiWVnSWc4ofm$`30EO%Q)Af3e-NoMz{627#K{-l=?`()dpp!O1)$~E&RKrEJ3mH2Ge0ecnfBOY-%F%5 zAWP?jFIKp{L41k?k!_0;9N`Mq(=7a9J8Ur%5nTvmvE2ZkxQ@0;PwUP8c9rmjAthm@ z7wf>Koz$^L_LXc{)LCKON-A%#cT#UAc89zjvg%btVp`79zc@2@i5YZ3l4Y$^6As7e ztt8OA%(X9y_PTSO=N2y2HqOFZ{4vZw}N&!Jf{^si~A^K zz9v0?!{*R$#S&`0r2~u{SG_dw*+rjp+*;-3K~`EBwQ~3OdeG=d-j7-L(6ZL6##;!+ zjti(bT|5SZ2b;>LUG)l2Vne%jbfhx+qdO(|uf_bElAu5w{RT2j-memy@oTL%!BVK>styzb{FdtOzYpJ zH^^zA^YYvybpv+9<&HYmukS<6F)?NOH#%g|^8?57k>SDJdd;Ex5;kpU^Oj9U%q8;> zGftdxLX9*lDAH?S98@T=sCcAUuX8KOBfKKJXsuW{5A^b?)mX<9`EZ^0D!7d3mCgH1 z?}S|K0}RcAc`sJ7{nq23n_5$-d@9jO`74aiSjIx{{%3zVJ*gR>=S$k9FvKonkhry} zF~wHs96nX>kc5FIFS+`yAX(JOk8ZJRnQMeHM89-t*K$zVJWu#oH^!A#qr1r@E?4MO zU{sd_zw+gycK5@@rsH0Tvt%x^%R{p?*Zv+Eai#-?@gvrj#m^#9-{Wdwmu;3mm4`i@ z?ix0Uq>~$aJdmj$#{nvR=+%2G-Ii>jtKN+IT_~dz0=R?9>Jj+!n&9S;xy!=JUwB>c zOaw%{y{a{Lgtc&kS10TCyJ_&uK&mWp+5Mkf$XTQC=?lkPro;=HSzDX;k{9FgZppPdj-vmeD?ke)>+o}Jxn#)DE2HBP zduO*f4#^#;+}Fg!bl&ZrxP1tMom;t6yD_yC2SFn)-h}vp84dr0Pv|@{fp2}Q$c(EFER3YW_2BbhQ7}($$9rK zXXRD;lOX$Pq4e2@BYA$if>Y}O_#G@aAZj^&WPNM%$&Ta`zH}>-_-Kj3bd;+OCO%Lu zGRO2*&tuC*O^-1AKJ3(f>MqygW5oElLlVA3>PN&em?@X}$7-!a)1X3Zp-lt&gmYlzGDBWi~8*vq?!`J*ubI zTCda$y)pId>S3N)EcUj|?lL==i^!ep93dvWu-c6cAVy3~1vJ(pd3^JBRm}mo9N*}+ z^PgX^)^TV6H+_6DhXr2SB4=PjL5IxX@cNd?%N5Y9@k-u?`DK}~s+9kX8b)SZ1JJKo z+7j*B$|k7q-gCTWo#&e9Pnl?g+u=q#VBD(?3IDxg*3lO1P@ej7#F2wGaj8_n>fT13 zUJ&4)PENKxeDp*)yLMX_U+KqCLVhnQ+xpB|PQ2an??^67WDj3zv*x{u)~EnP?eS@= z(zoXGZqqYTG)8KL`kMUZa;=T!os@64!zv|E&776!C6jcO%&xxhzme$$hG9;;Pp z|K9GvzlMs-A%gk-p@TZ?BNte$8PEP zZXxrs=>`W&onU#9h->Ricft;r>XEp6XQHvu*R*h)R&V_O*gmClp=QK$$T-)U#$gcO z`#-F9M3?_MBqjVm{>vZ5{fDCc5vdxyzdc;@5K8Pfhg$BA4NGcx{4I_T(|<}oE#vJt z{`Gkr#}!#s*a5t*=eK;fq!Qn8$DFCzDo)QOeOU&@14`v{ha5x~KoASNiY5|hiynaX zt~bc%0Tdn-GFhcA@8>2Jt-LrLKGaQQ-eTWAL&jef7;Rl(D$`={xslM9YWKl0FL$!9< zAJ*9=|A9ag9?*fsSuaDKEh=whN-c~V{sid+C-zrR%lVyNpNzP2h{x$)AKL%X{pSj! z{$HIeg)TZoJy>DXXS;hez1-eUc`JQ`OJP=NjL+{0qqpyCXqlpY$U~1WRf?Ci4W2)m z*rQo#eE3463zIIQBaWmk_j*Xn19>?<^M@8-M3`XysatvT6u1iEEa#oSctEAuX`usI z&06C3`p^5pa+{r1Q@lK6B4N7gG{lesZzHa#2tEmV#i25UzXLL@xUlcpV6?iPbK7+R zP2_Cf51or2QO6m*3T@%E0p`22Hch8w^I2%Q`{WbRuFuR%f&uZK+ZF%3*H32p#bQ=f zyGZHixYv@Gz8g8YR?d!!2ZmA4HpWgz8}D@%7txy^^sLjz)7RJKV*bf(t^9H~s%brR zHZOVEt<$`_w}V+5+09Ga9ZBqUJeQAOW-x3uJF^YrY^Vt*iV5dDu9lpbe_zQ9A*k+j z=F-hl76uZbKk+oiM}^7>Fo$X5cvrYUResB*-5BIP)B|rE4u1Dk4Ij)z*MuW|RZir( zS|-yj>T~{qDL<3By`5#E_b!PaSH-S3boDap#lckTZk1k&d`7@*?aWI1V zYaWfsrBA0}2Fl?SfU4cQbH2WaS&G{kD~SX-FowarN!yE3{n7@Ga<5%JHc14C*WBnR zk(@cDb86d`jv3asx|?W05Z!LYktBTBheh9D#7oob(MF@e5bJsfD{SBWKMHZ#HMoSI zNxb!%6w-~{(S$L=qqA48Q?=_ncYWvGhLYH5&xwou6ICfESvcF0<&7^B$kUej3Rl59 zTNj_|H=8Fnr!V?g;RiEw3$q4Y*(}Jq!b}(1sj5Ynr8gOmrhA_v&<<6k{=~)(T4GYR zs=mCl6Z9NF;P&$er_t}o*5I7tSAom{t~!(Mc6PBpn3B!+aeu?#$Mu&xJBDL4Ti6{(O68=(bkA)0mAUJ~hy8(35;oZ2jlWjz0m6=h zw|m>?TuYY&xj>q~p64VPSRQ`MroVlxA?9>hb-ZOg2+}=$%kbKwU;Krc9ROCAiJBM& zIJ8!$o?5zdVTUKP-n|{eNt3Ajj8;oQi2LTgJWagY9fAN8$a}>0=??ofm-=gtawACU zc9GM2wdlyf5NA%k<>jY@9@YQE6P7<(Vd=Tvdtro6h` z!G!eSotuw(zkgQLN6B1!S)Hh7D%{$B&*ro7cczmA>>NLjNDg<#N^oCi&C(Op;h)1S zd9->DyfelbzoW;^qD2i>xrl1r-_CD5gfM;^vy|(}(t|n~)b|99LBfxl*+XGu^3k3Z z63{a$r0g7gwR8DFm-SN=1OaRW-A1WYoul}^D~|S-%af5x*RX73te@bz0{W>xMH;Eq zQTp3ZYar^r&>%AHJ;FEJ%U4B{`ig}vX0zA8;%jbz8?~nT5=L$iA z5N$1Eno$ed>o7YP^7&T^pq6bghdINMNDq@)hjB`MqLVL;X#9EBTBF@0TZvxx41i?^ z#9nMwj_cdgoksizT@x(9FY0k}5Qz2)YWSb7bq|SmF$e{bmV=j{$bIx z8|L!MG@>mO2djw9__JyC-Uv%I1zH&F59JBqCJ_8 zyJ({}d+B9iHFKF&sj^D%=#2d(GMdrRY`QPMZn@@;%^a~>ebN|91-C#75O+KDa58UJ}SM-_(l#ts1 z3Dft$B;2O8tq6~_=ob2nn`^(2IYP}?i z&)wt~=C*da;MMaGKE!ITqKDol<>S@#GS5QI>2qCXxB{+>qMgPM)AqC>#RLB=cENt4 zt@vhjaxcR#PY^QMN$Ckd>pocL57y&$Ih5DiQDfQNcI+O z8I^A$Cw`CNtJrI3Xl{Kq`dGE*Ap^6J8U8?P+O8Z6qp%vCr?Uz?K11ptXc0`#oSk@0 z^Q}K?Un$m0_a;>>fnxJYx$-g1w$_wYseoN|PFsobmb`$g0JxA`dT?bRKc_Gl$z%mU z=eYn285yt4cxEn?r#EX>U94$lypYAws!KfrwOzSYrv_$^31nQ^(d*o}0;Y0Y3g5+w z-t7Nnyzsi+jCS?lkZ~j)UFPHM8(L{C?wg|{07nwc_GXL*=b@8Gp@ zkl0dxdlj+P7p=js>xs>~r&6v+_T$?lGFrW11N_MQ;YO+zJk=~gW&Z=HVbbTOi$$eu zD*emf^?Vz_h3R+rlxt}_KPWzL+wVyDp84V<-)gj)T=r>pwU0JA+tXpISI&ZPzIqpt z5iS0py|!oy?|O~!m>OQWp~f%8%vWdp4w|Fp;6YC_LBB^SNnU}-d7muL#H7``7yL{* zy7r`e{{_(UUU;N38*H;P-p}5st0l!Q%s|iWU-OEmjfM<3OP&E6=VA|Yq7^~x=J>cM z7H1O`2r;vS8eunVi^h{fM16|T*z<`q_bs!=`j?02SM{|zOY5~q`Mop=lHRy*t#?Kl z8?7A|W})!604wurJut&%?Kx}FD{M0_6xC|DU6rAUK5y3=+sn#EVJga!X}S|WdG0*M z%2q277R5=&a?izl83KqlColG^#baF9W>-L8bJtmEH68cV?5W@$0Ki$jKD5n)zp1=* z69mNPto90ka3R^g_t&?V`-7r2!;GW;&bzE7>sQO+Vfnp#f?e=7NczA_sE_vV#Z|}c zVfvgoL(u+A^CMT|j27R<-A?R6SWz_8C_XQ(_t~B=40h z9|-!gs@KXOHixU0l0ZJg*&n8Pglg2DC2faxFc0afr`W0bo_j&N+L+z$0VNz16gJItSG!Og7G)2lnQ12X z22-eltl($13^1qWGR5CgE8R(a36jrdXzOuH9MqocKGvp;XmaI7Bc0$+>&2O^pYc08 z2@H6^J^ml6-ZR{Zat+%Su%Lhi3wF$;O?sL1OxmPp(#vEfliqtWDO(UVR*H(Eg4p*4 zv4enJv7jJ|4Y6-4xIwWYVi(K%_`Tns_c-_o>sZHPW#)PA`?}5(CWXT)7M!@FaYCbF z^C}vH**R`h6H%6b2-e5amR7H!+A#qGs%Vu494_kJ1QwBc!7m>dcYx@7otG3BGI+9H zK}pCM0hy^-zHF|6?S-n#&W7DABn$UDbr&LuDS~aY$F2p_*@DS$i;nr?l1e475PHd^ z243-Ud)-qRHNZ?NtYO))u!0UlX0Xfx2D1WfA+iC8Zfn8;dDmU$*|X9*I&2E#f>0HM zFq1~l;klebwz-+i7hRmO5;UziZe`P&sm4iO1dzgq(rU-3RH|h)Thaj78yPrMj<@Pf z;5IboCqj!DJSI5;ciiuXC7K>!+nJO|nZx!fB+;Tx4FMx?+Q`N$9Z~@FHcGrI8d>Em z3V|xAAv+aynS^MLDfN1=G~?mfOGqOlrgc=MH{^87#F(LY5T*xXQ-i>Wutm{fAZa(L z;uPr!kh~Tpp0GwfECe2{3Lrohs&P5PRdXnTjnRRLXEqfI>RX7>Xyio3f{Y%E@Um&X zA5pfNq!L8d_#!4|$vTZ{7#P}iAoq4afniT(_Es|@ zxNX$_-+TY=@YFvii0=O>+Wvo3Lc3a+`~NTgpb>8@Dh>LN0= zDKTcWC!IOQKMGqW?Os}D6T=vUXQf$N&(H;i)PXprYAQI{Ov4YUMF8W3fXE7jd0O5$ zV&&Koi;3z6dtjR5HwZyeNlTLhxW-C)dC`R16T`hBRTX0mx!~8cQje6=;8I?zWq?G_UG*zbB`A*7VzE|Jp;ozD+IU>zgUL>U_E^Mu zG~aO4%w{#|(0c?UZ8QeuOGzClLkB9rPSjR~?4pjKz%fY-JeDjeLgVs-rL_ z>gGh+aFjoSM74+-yeWYPQ)9~XS)($ClOsbDkhE>q1R8&>A888p+-M+ID^%l3LB44y z`76rANN+OdTwzJqBc=7dFqzv7L88Wl0&M zqFsaBDjb4PDP(P#+kg=4E4W71fZ0^e>-BcKHA|J->`A|)=#?XQS`%!?L8Ogt%UTY2 zDCH78uz$%j`Fz6EA6fKTjy9Ge8(KL~swk$@EqXy?2nR-(NO8#NA z$s=JN7S8FF0T73zlm51&F$DFHAZBf73WOb?L(EFCvmxoWV`Qz_NP|Z02GGUEhAIy-v9@_G zO%+_oY`t>OuPar##%PTmG&**(zi;ZRb8(Vj8^Cu2qi}SK+E{pLde}u6xChv0K#c&Bg$grto&GAvI8oV)gP~AH6tOwC^#%)olOx4 zcqa*7Lk;5Jgu=~NsCY5Img6qk0b9(+j`d3p1Jwk^Q6UJTrG+F&D07;Esx8=e0M<>| zQSyU!W7QW5!2TvSY-imzBLiUJ?s!9}vf^6lu#wJZ@SMOS>!ciou8MNn9c2g4W^sm1 zA(Zg6T@iGGd8LdS5G*28C`72c6|sF}3Ia!xR$+3(0wACf$(kX)Qd}Aa5pJH!!f{NN zE2`V5&SxQ^XqQLR8bgzz>IlQeEG}2P6t6JBu_hlk!!^IiR%2C_?w%|+jyu7t2;#6w zsk&l?Qqok|B%=irztCMY<}CSMi>mP~Anr?-T3EqglZ!pWVH&8{ICLyg57c`@UzyVo z1jR2a0d=LpVF$IQL{zP@ zfv?_yK+MqJ1v6-4s@e3nCUKuXVlXGFewnQic8M~;3t^+JA}w21XGvosRw`C6v4d8D z9G16GeaS?*f|N{w^8%1IZQ#p8<}?_gt8~TzRQEH4vfJ113rhix2_W$V1SgxH1jcH-CI$HmttwS53FJb*n427X&3)}a z$QYb9DZ35AW&CQp=o<+-Hkw6n3stw@SxEVaYK9XuxBF-j4-5y5JWBxV!S;4Nmg!c# zu?kSt5+VB-+zLElC+&69T2Fl(sd5pPjS83zwRW(Z2u#|rm{ZT1%&rl)B`8UKmYkB} z#L2$aX&@W|0o59n)bfz6o5a(=K4VV$O^}GtMKq~Oz9=>6&FrF7=N`t4007f0v&CVp zI~r(p+U=%1qOM9KSx^_S)W;TCH^J{nffpxI2q!ZcQCI}^TsB%Wi5o`lzQCpqvTRzT zshb%>;fw+*@`)h3+N!%4e9Q~hqACg~yUdtm95q(#Szv?}I4UTv0kBMhH_~Xd+47Kw zm?6xESDa(HCf{Sjb8SxVQWO)7{Gz8aY$7$n^AXo-yPO+v7rU zsVHPZNw)+D)Enwi+LzXcEE0CTlrpHjP;Kn!j^puIf#YeBL9I@~wu#uFyyxtsx!OR4 z?TD2%lX`@1FkTyt6K%+r!R!I98-`5Q8qzIvR1Mgng~ftorBJn{N3n8PJcy@Qj4Idl zW%5?8E1xprny^#a9P}wWgOkM^$0U;odWC~XIgDlU7`(tyPDAXP9`Ihd>S_}8h~q+FuNv0kw7Fm!3bZSj?y_slVxWNB6FrdX>5>F6e-u* z34fFqP9ZF!#M0=Evdjb#`J3jjJ{{;|V4RQ>9_gj5Rf991&EjB5!kA-DQKt=L z#DJ;hh)W%@ZW1#^yV{yht_FOMR4r|FGIqXT)b!E=MTe19ZS5qWa+ob*`CsfYy85=V#(Q9JF{a%q{pbQEZk|fZCiR58AW!!v#vKFe(+? za+^w;DT68+sp#F|(WvEX_z0t-Ff1wiMm%CE5`;4+3Tc&+8c0f88?At!r=2i1TNkB8 z9d@zT;BvIXw2O{{wj=Fx(%f_%sZ`YUV9Zr@I#@-3cCO&jHqBsGAuqtw3R;R`+exRW zRMa9)VSZIX9I8Z6Gdreja>H>Z?zL4UTy@G`v@2q)p+wTj6=Ha)%W$f#U@aG|Ckxq0 z57CmTpwH(ayB4oEE{$VQ#ix{T)JDh?`{(7{^rHz}U1^w`KDCdj%Oyr95fZyvdUm&4 zk8uMKQ_n;q-3l(YRFSeFl~T0PVAV6M0s_p~8iIR6rP<{x<(oj4$PZP0DqbZca(aqr zNa7GCCtZQx-w!51B)TQ*lxu46D09>4yhsl&nAo5wS8AxB6IHeJP@?YE8}e$+$do4q zb{+;Nfa$`);FwepQH=}X5E1F6{s}n%B@mb&MJb?3Q*@*8lE9yE5a3knroeco4VSaU z+#nLsiWA&Yd{V6gd9&AI>J{BSezx0)`5PDm7SO_)w7`~T#Hg9>RQ!I5)7R%6GIK*S z#Cjo~#U2l8fEQ6Ymi1i}sJOV~%@!CzRg;{W%ZH`h>9)Np2f6KW7`$loL$_B{DHRJy zUJCR0K=_m$>6?8{O`V=-SfvajM0gpvol3dPfuYxB(YS*Gv943Imn*Wew$`gL$`%s0 z!gXk9sR4kpKUK>5*@ckIS+w$4L$4RI>oVXtsF2m`^;9tI6R@3}VS89$2RUXTDdh`F zq(u+9M?s3AIxHvK>hoB9Of%?iPr`26XG_S+pk~dm>J~EIa$|Z`+6c$JP#eu8M7-p< zSZ#6{r#~4kL!+!OVKT=2q||Bj7Kw0Hqm}F1C8v=p`-YKNvmL@^K{=)kz>!)@C>GX| zI48n2WwmiZ-64u8@RT3U%P51l2@NsdOFTNU8R+J;WX$X_LzU7{;j3aGRaOB9a}|w2U6EvvKshKKvSt47XhmI``qxy2 za^-X7DJM?20E8p4C$gQgpaha-y?6{v7K}oNx0O!eI%|Y%nU$t&0hR}f0Vx0(sR=!& z&gprR>j3zi!sco$Pu|DRf|2G*nDBh2U`26Z(POts4<16#Qm48rHLkLcm)>D7U_B zF&A^mgf(6?dCPF6pq8>l(4@}IV^G>0qhh0MmnmAQVFs&dWoQsM1A4uTu*?Y!W5Nm< zt2EoGs@M_(E{>3qbXy13gx`)QIXaLv0tq8?55L>yG3IDP zfRjRlM?@OgUU55bFgCSi)K$y|Glq!?fM+dXoj@hj`-)wi7zNp2df>BmXiYR9Xb4#T ztVkQF+53n!7|=v(jL2K^vy*-j*K9=fH`4jL0EjM4=USIBSrETcljH<3lkZ4u&agN!x~TyP3pqK-vm zl{CVE^FqdK2{9%bqB~^(q{(LaLA8ln(}$BST1|lW2iKfrG(1W%hGi|ALW(P$+zyK* z%o$hIfSG%+w+vyHq2B4iTUh`Z73zk#vNZIv?arn$X|mVw$|PM=g{!rwDG9K}M8|^2 z*b#`;Zop}~9}1zVa-u{@YRRfF8C8Q*5v6UoYUVcAl2aSGXvsSgabyK7>;s?Nh`|kR zJPj~8F1zTILKzogWE+$C{ zM#GAXO$10n!xQJnDL{YXb6aLE-v(PNY;oC{4giLsGgjqcL<*QgakQr|*)^^lRkCXO zff&aX%@RqD861*>ITkPAmk*@CDbVn=M4`5(3U)ZWY`coOGb)=%$Trk7LC~F=$O<`0 zL#a&|#Z5O?ll9ui8YQK6SQ&ey!s9BKV545Ju#mD86*W_^#^?)oqWH)l)kiXlj=t`a zP|X35@jz{v$T6_HxJbkVMG$|2bc_>2f)e=3Kte7QnsO9u=hj7oyeg%J3QlPub7D6EstHI%A1e8Q z&x*w%L^fBkPdQ0^z|QA_HkX-*=y=&W0}x43z_(5qkphG+O<#9<> zXlSFP6OmYL;E`J!@J4=Kh+sR5Im)b$4-LLL?de!xjDw+EMxE`;XguUHdP5SC!N&nt z)O1aUG`X(8P$IR9Nj?OdNSmT3*G&p)wm97pAU!IJAc{C(!o=w$p$DjSUxm%>XiOn@ zq9<|-VpVx2vcJRLZzF0x4rXxxm7Agpv+f3zT&S zHcqIg6<}kVu#8Gw5qTv!)>9h2jVm!^?I!!A!7H{gn@H-#+W{*C16HEeUqy_AHmphd zEq=YWAFkS(SPm)0V?bmNGL;s{lha1HW(CV>LF8tyxdA?B3LXG^X>$Q?!{-6Z&$34- z&=Nt3qSyq|Ctq!p1(3mE&5bCvC0J?JQCd&GmdyfsR%XN~P}*46I*DYkY|N+9rgVfv zalI4Qx-Mqtz6Z>_j*s78R;W2;p)0)k-K`QQDO{5_WmL zdQUmgs~Hgt7tnM>y<8wx zkow3F3J2I-2CH);K&nNE>Z!I%(2i=|@*2yTF%-R$K-!JjRXP#T)&RL6PhHSYtkRCA zm_$Q`0GC~)`sRFJuFJ?mtVXV_1*DT8aO#jkstdqwaZVWL_N$th7p8)yMlM|gvdg5C z>!JYNwT)nztf;RuSF?UZH;MrU2hl4-q5!CVIdGq1~;tq>ONt!`EaemQNaN{7qQrAcMBq#b(!{#!8) zXdQ-rJ368vq!O>ES_M%_*Muq@CzLFM6px)8XcP%|+YHQJ1GP<_Q&1WJQV|;pnwG+& zQf0cfb|5!wkPaj{aXHljNUzL87B9yz8o~OkjcY8*!_i3EHa4>*?WVAq3xYZ!E5YMe z^-cAl?vn-mI0YfYR9_k`x$UVw$Kd(rrxS39$Gy7QM9YyOh#@l$hRyPZThV$|jt0|6 z0>Zd#eN8IoqJ_A72r1ZMdJ+`3+J$x@oWn~4V9oAj^MLRj^GKRTA0|Y&nOd&IBC7wy zxo8$EY(m0rCe@X({rOU-%Ptosbe;unW<;)R2GjvaU+M&OkPi?JfQq3G=&D3B~@ZwTxPOHp34)#Vv$kCYG-N6DrDC-fq_)d!zyeTLL|*hcqAlz>zL zpUg!{DIiQQq>GevpiX(ZOt>90rIG>9^LkQvNC z7^!hV9B18900K<|C3O#z0$Shl5-obvwF*78P}2kUj#$r~cZjWR1NgUIG?y3(q%Oh~ z1=Pe0stVf8;_5KWGIO*kN4;ch_~TxxRf(1?f^e~KM}r^}s+s^vl2F1Ug7sb`0^4;8 zlcmRYaP_(RfU3hBDAvT?*wESon_QnhL@~k$;V(t#oXVRG6a=Hr5co=hNxuxppsFBh znBa2^r5ZmeP`O3CHu%XPor)r^bjyJAtJOxF25!xxQoDvt4?i+aThr-DwI~_ru#8L{ z_INW+Nfeid8)d#0AfrVBlPAXl`Cb_49T2eM2VnP(A5KbBV8@gYf?8~2P)O+824z^N zcRB#SjE{lHfEFz>?0iFQ0~hDMmyLA*vot}Z5-PE*@SOqj@RuE1twK}jW&mYS)o;1aZb2X(_5sG8ovs&5th#gT0bfQMsD<%MV zQ|L;GHCkMz6^^NX$K7Z36;)8{>{%nYJ1SKa`z;!mRwIg})TI~{g<7Z)@O7g(jzMe) zn;210+LKfhDWxB1=Y=tXJD6}C{4^|4YLjM;LLnThT&$R<6-_lpCcD)H%&^r|q1CmB z*%ro`lgPTIXr`!VfpW3i=rCmiXs*`E$-8l+5;0;}CL+<9^R1welLW9b7EjvccbY5- zz@$Whfq>&d$e4%Q9ds(?0f3SC&@%a(P59>WN$MoFxb&^gcuT$Jb(8mYeqfvX7FvnU7ta44h2`RacXE})sZ@c8#Ri8Vv?+NC1Xh>Y2u5K zl*5J-HamzXvpAImCqA|og)(EICSWA(3|6V*Ovw;uTjCsU!CA2mL*NkQkag*DEEsi8 z@;>hX_?lb^PqEn4QdxE{52klQm(89w%6;;#(;bsa>)oQoM_Y@9c3LVoGRm=ns6^pj zvL82RQv_{R$a6hd&~l2)T3u0A1<8)szz)*o@nJJB1)FUPF6Xxmb+TEtCK-VDvq?sM ze%6hc$cdoS4}>K`mMW8spiskD4EOu?q#PHjJuwVKQY^`;(USwZjZWF!(AxDyj}E9; zdO>ZNjD|sY1RKC=Z^1dpDZP$x47GIgQm#w~SF;U`j8{_IWTlEiFe;6c%p|ZOLZn4&Wiv{dU zu55vA;<-oxt5zkU1mB|$#91w)1sA17p;lWF^DrsA2@`P*ZjbkkQ92{5di8-IkaG4p z{rV{FZK+K$F3j)RLAF${pS1IXatmXH>v@A3;#2CTvQU<&w9b^g=(L-KC; EwwP^ z8pIR;Gtzd%qHRN)+Yt=fO_UwMtZYgku_uJm*}kMMAI3nmU_`n&l&okW zvpG*irlT8xlr``fyV9-^d|iP#lx7G<(+~sOhmdJUn3z;ut)zT8her;=IZBZU0tNqy zG&BerLJZy(Br>=j;XvUcJ+d_5Asq}zBF)KQM3$5zfZr2|t01(jZ2Pn{UoM3q2*4Hu zvPM!fY_ICmx_L`FF%B%rL0<1ELD(NSBy36 z2^9;x5rWxxDKBzH8AAjYI1Aw7M>SBC3yQg<2J>kp7A3@=G)k_Pe2nQ``Hp%(M++Vv zE=dfX*`$UR72OqNWC4LkE7Y%`A#N8+IUI&j12CX@V=EKs>Dd--#Uu?WssS;$L~=v^ zm;)q;dKEU@s0037$0E$C0aTb58V~?3$Fsrvxo0ng@+Zor9eZ2Dp_ff84MF!g(82AUSF@Rsq>qyU|3! zFg97@2UW%-%~!}pDJQJrbTBg4SE@mdnD5rKS$L_UF1Ni&CtvKh7&360XbN$b(yyD0 z>lB6gVFwC!5i*X@HI}r6+>%(TZ|IccepJXCv+M;_j#IjT+$1XV;}Kgjj+4f&CZI}; zqhSA%_Gq^<>{cv)*WEC&oi@Fa6l&OVpWN4VZ<4xlakW&n7lqCQ^{QUl{5 zcwYl#Ra4-r4?vUJ*h&Co6^WLLV^Ate=Te$jScnnQW+JKVW63zeD<%Oyx=pL>CE#Kf z^v7N}6|7Y`4DbQ6J+{2Rt;g-kWJ7O>^t5bs&**706rNF<$03)C<#xLKdblo@OPoH~ zX3*9+j-Zsuy5Tg7#npq{XGjpo)C?Jj)Z^7yRmE!?5s%B2Z{+$UBUi<232y;c7jdgh zQIeAlCIG`t(Bm`0B9A2Au(eb5de)ik^f??HMip_Fxidy`PF`JZ>8X1RLL0OrS4veV zX`Fpio@)`X88!GV;cBD-7GRJ}sAODRP@q<@G#xkxR*oQ)^thWneS~eb=JRq3$I~2_ ziW$|8MoxBrVz^e25E= zJykd5FehnDm;w_@QmR#T{4{ArDt1oQ>2*d2MA0Lmb&7fc^^PofhR}AnxlGZD>bR*v zQdt-A@_q*Nuz@)xS&e}$w!Jn2iWc0irn1ehlUH_G)PRN>%MGQYUX{)h=>leo^>~FK zuj{RbbXXnC`E`z%m!#YDoU@`7;?^YF)D8l{8(`I&a}mgj z@j(5`(Wy&>Q8!Q9_xExGqd^#Ov(!0o@#rXu(h}~|AYgtlbBS1}Z zjYO~2aas(51k1vSw?H+`C9`w^fJa^elRJ&n(2#Tx#;7yeH7cvlqZbi|95*Cz5iM>I z>w@GDfOx4wIz&^q1J$CzX|U&5h?LW2nFF@2-mC-)v4*@)>oS(Ahi^_e_$oxeSJ&I7 zkuOq`O)SL7+>Z|oAnpw-dOfwX?az9Fd>)AvdU2by<4GGZmA{m0SQT8h5(Bd_uGwEi$X_UHcq|C5tjQD;IHKd*%wnAKMx7xoi}XuHG#}_(1A}rvZPJcdOxyuw4)x9%I(E~-=3`k$52l!%jeT5R|GN-ybNiOk$E^>a*<)Tl+TYv!UKid zMD}G`dEDI_hlvC(%^`A^u_nQZiK!YLlx=nnw`nYALVdGF1rbucDa@gK!IGQn=O7@W zn?MA@=cx2(d>g}nzz>-Q7u7H0H`ZE5W(z_`KrJRXai`~tnHBv%u?iAoG=&#BPvru zX-~_9M8FwJ1P69MFici}Qow+^9Nc1sq7g{mY*U`1%stTMIbJiU;mZmX$m3VsY}Fua z#9f&NfIYS>BI|$#)_EVd)iF40Err(yAWvpG zcVaLY7hQuaPZ`RHWQiy|lyiiJMxj6U8+is5Q*|WaK#4On)?!^?Gu=96&dLp!PhC4r zBbQ%)(KP4edC{(uj+uYb)XUuSkH9|oa_-D6bHDudVPtgVLggERn?^?(zMXsL<g**uDUv$mcb1fVH`tlRm)Olw;9y;q5{STXSuiy5;%w0PU^Z#*Pb1*r-`0bs4 z|Ng~cFMe|MdpYgpN8J0}#n=4%-`jTFa@Wi5@5j!aYq{Y0P22D(PtADc9Ha5V^ABE5=gymAu}pd6`)5uZ^5@*}`qWRp+q!pj zHahpI_x^L@*S|0S`vUQAH$JuC*^5>`HXC0x<3sOB4&Hwx5l~u1SFwTAYBCgqY=d|zMJ3_Q;Ho0W*DL5{CWE>pY_I~b+0|=dT9%9-=Zm}Zq2qYUbkV^!n|?j zmSf?~)33r#$R5Rg{Mc=IetL4;ro8r>i_h5Qdi?0AkDr!3Zo%$T-aqQl?!!JhrgzbY zyO#EiA5A%Gcc4Fg|7DwYz1G)$G;PuD?7SIIoqXYOpB&j+^y#8QyUyxcuG(^f?wAwh zM<2IYapNV8dHknlRCnoKeg4c_FFLAlcJTSB=;3$oD(Gg_cAYR!iykvM>^s{{r_Gyr z_M%^&n;hCb?SSpqm0Yj$6MKrruE z^Q?bgyyN*F4(NYH&!6(l^vTrRC9*BaUH2bQFRvfD;E3$LMeutk!>_2}XU|?v&3(CX zeC45Odld_nj~{*Lg2N8|&iiKWygSo(J+yqs9_F#{-nmA!{_C}o&nK5(xea-IK5zPg z+&7)04>*qhYDVsqLwo*r^19yU4`$$ZU8-9DuTOi9t-r8eKI(-3Zdv^K1&eo0Tl|6e z<-f%*{~=iZ!`)NP+c4(^!=Y36|5-V7W`_j?-g~$EUMa9dnIPDM7njen1 zZ=vv&lZ;=^Mn77b-1}p3dF(UU^w)3t&$J)alg+cQ`DFE*zrOIrmwrwGTYMjR**Pa~ zdwGnUJa-Fsy8nfvAG?jc_zCE^Z`6fTkNjv&RsO-1r~jsTc-{q5JTP zU$_T;JF|HKe(G-KUfAe+Ed27_-cOD&zj(`Cm_6yg>SV^Oi-6e%dgb zx$c}DL&Y=8)*XJrwjEzY|3?iZq3&xUv~OMD{M7!{*?8BS)D7+-+snU z`!gp${h98(=Nms>c--n2jhANkD}HRxb@hHe>AVMaKvmghExk>0apc)UV%@cY|7<^L z`##|bts@`#3vC>U?L-aCUq)@5h;`Pv`WXn!l$j|`-V9WDWr2Yo%BuW`K3)*bM`y;fQGXtqYG*A91%rvo~Ej`?p=}m!`~hcYpEj8UEXS>|^Qo`}(DW(@q|U{n0e@=&)yuw-`M>5DfW%}xnuf#Xh}}N&dxskr_~qn)^@ISOrARRhTO@k zk|)BSI&QVRw|w2xC$M)exc1O{U;No|R^R>Xv%?gF=KSx!{_NEU6PsFR-nRSx;~X38 zyQl1%w&jig9b7J7AilTP2yAU^TxXa!)=ZUEPJO)kSz|l*sVVy}GPdOIgV%NLIOW?X zX6*j$^lwjoYxbY&%VUdHV-IYH##f&3TlZ)=s^LE&8{Qm8))faCcZM~p`|2G_-hceGLyM6g zKizoSJi~}N^3wCG)1G|e_H`THJmYt_`$E%Q;V0B{|D65E^jjW2?fEZ%3gkyqe%*T2 z-p2~sYk%5s-HFZ#nf-9%EjI>U+4h$B?;Fsc=#}~hDn{0qE7^Gp3kv3~dRunFyD#jT zcJ}bG&G?Ps<9%0*uf6o%IJ?wbI?J)_ChNWDo>*6Z@x|eS-TkEpADgrFv*}OhuAZ~? z{kQ+O>h9K!4=vrjt^1O;dl44VI9}$@UvN(M-s}hKUwh5)47}jO8_&J+g2{Gq_<~nI zuwC`d;%Vnx`RaprBQopPnJBfY#aL7k&mDD z^E-P_*m1z`G5!Vx_v~7{=I8kB`sVn_jq$awP7-U*cz^ktMdV%L&<&I0Uwm*T^wIM$ zf2VwR{;m1jDhq`VT(f&iXZrZ~JJxHAI|`*We~!Oh@*uWj%bX9NzvAHfQ zx`jty06m-K?3%p%*rTgj$`|M4#?h-kU8Fkk(D@5q%FLYHc>VlkGgCjDdVA}Xhfn!) zHLrQgEq>LyO)l@vGxApvxf98EUMJDZAN?uu>ydvnzD9og*ZN!c*3Vk^KAKoH^Px-b z`mO(x_!H~eXLjycv3Bd?J?Y+c>_>n5&+zQPtH@WgzHzwO2Y!8R+uLU^n>N|?vu4GP z$EWPvba!{_AOHQ==LfED)s@@dLA1Yae|!FKmn^;OIm!28&ZqaBcunuX>DIg7e7mCB z3N88Wtw*QNx}gx3Y(4txsOOILkDfDHdD+f_gtK(RjyDMV8yfA(&@&tV^~|LQ=trM8 z|LiY5+b=uozoi8&<&$T;Pp{ZsyloQ}QD-mS`PIa+v5Wm3KxW9#KT&m-9l!m)ckgkn z-Lv)snx?LKaN}#M-W{w>gE7}-hqk|@>_#tpb=~{&zc0RhF-9DIv8j6B&h!fY)jRG4 z*sC6IcdJd2)9yT#*xKBCO1Ys*V0YjAId{|756&*EsD1d_#e33Eo~ys48IrTlko*K| z8_KUAMkDQJ-cu9 z6zv<2Ae+DUMT&wiKR)~EcjoR|Jzn@a{=vzMX3dhPkd$^Wx#X^0)VilmzfrjxI`7?Y zZoX&Q&ExdzD6>={UAcJgb<;ney?0J&bjSOWnNQ1)hw?8Kj#x5T`}c!a^&Zg8Y^5Wb zht+32v+zWj<6Zx!bhn*r_*JJ(JZA1S_*J2SS|Po3spC*69_1rMAK zrkC&f(ieR9!mVS$W3!J~*nahaJARWK#yz^2tuH<3xND;L&u4+pmfWzpd0}AH+IKS9 z3%^@--@+T|KTo>ly{GQEalYz{^km8{pFe~ScjjlT{_?d`mQ8cipZHv7xo~HD-Jhqu z&U?b8rd#ix5xwq``eWcTKy z(1Xj+-Q$&0MnhEe_dQPtHvD+%zTK|*|9btL{rk>6)cEru+H%Vm_pZD|dBAq;o%58A z<*!XPG)t#qthEoQHAnvE(yxAej{h`dI(^mM-yXav9ua2w(H<(|F(X)qeB5OFzmGi#E-9jJPr3{Pls( zX}AC9A<+T)&iAiB`NuVvAIB_S`bxkj;>>AI?QE#NysrcwHaVg{->)eTTf2Saan$?A zY&l@KebtnA=M_G^>C8vq>-k%*b%i&7z+SiY(Q9^|WY%6QdpM9@ej0kmd7ibJhg0`H z^!*=#t7Z@1taqV#KQ6v+&W67Zd-07m1;PEwdCK%LrY$?@?9w?aE}Q$gGwHbE%=w$% z+5c2z|90`gx2|3D+>u{TfBfpnihc8y@mPe}K4)up?-Qr^7G2J4T(J7owY5_p`t73e z;uoPmS3G*pUr*N5O6SUR9}zry_ze%9;8j1FdSyFocrEnf2Me;>&fANgJnI$l_`F$m z5r5`uzX|r?k>HyrDTSNPysE#-Fl*fvFNk6X)A!YGP_5bg*s}K7o}zr)gL~n{Uwt>2 zJo@36<@amrPk+w1imky7{n|7e=1kctx=|(0p)%x_v_9+&SpM<;l};Vy2%`LFwHe ze0ur8?6>V1^{3DC-u~tBikEIb(YBkCT?NhWeo%br>N&F}D_^#2t|b3l{g5j4^L6i? z`N~UYy+702`>DEf*39=lzt{ZV52kH;AlKcs>G$`FoBlh;_`UD2k9Rz<gD@=mPoZ@03f+STKhl~WTKlDK?e@Fh6?k?-y4xNrUH0pn zGY7)`NCI9Fc?B&Pj$glY=f=uJ>{^~p_ttMPyHq!va_`Bi`7X)zy@h4|J9{RQ)>99^ z&@2~bysL~}_sFfIGrc+2Grz8C(J%e7&;R~KA5HuHox!;a8rfI3JaJ<5jIYmXXHs`u zH@@%q3l97E_4hWCZDj8^E8=VO2JKk3aK)XY*gzyts7# zB)UfK{Ox}miQDh9T~_?$)sA`j%EkM4kza2|ezM+w1NzHln^1Vm%dCUXGqP=Gt-IQB zq3v_uOJ9Cq(yI=C4~QblN`yq3Hrb+hM#512Q1th?m?{IqR~ zX}Tk?zkAo`E67{6sUrSwE}QY>c>9?jzb?J|nAMa|OHP(8*3CNkvUg9Py4U&DTguf> ze2l(x(O02gwnuXFmeq2YInFszA6WkEzWZPO-7|p>eN%XJrRvq|&^yj@xL(JXH6BD) z{pS7n+|uCrM_*!ZTz)-qd69U{edIByIoX@DbEads{Oop)J;c! z@q+u~$lZ;rjw|1++}YZG=+HTtYaS^rl^+;g{e3^0 ze({yx-zUDWe)i!_?gy}2^6wtMJpr>G6|VXGzPY^G>j!S!^ZqjEllbSx$5%OzoQMXj z%g-}A_58skpb?RMjpMTUT zbLr=1ztO9QcdTCU)4d-(vHGg;1*xA_KK97!{V&`ST5)Y6azl1;-+hy5l$_fTy5?Mq z{33k!_IHTmpzBBWJK;;zj;Fqh-lM==f85q58WT%|-nK~ZI;Qo*O;LbPElmeTQ6fjc!~JS*DQy=_%!#zqEj`2 zTJ$0p1?OU?&%pZug=l*!aD_=gIJw5lP z@Vi^jDjfX&*U;oNXYkYOcZ|Y&U296Z)1(UP+jqTkqvVQz;mfZ7xm>+2v0y{}i6^f7 zJo3p&;#J#!KT~_{?g#u=EowY~97iv^bESCGGDg1gRPR2?U!p0$k#D?oE~gdGo~?Xt zdOKI7u`E>jaO#2j%!f|E*8ZIS=JETszBJ{$i#KJU2bRn`zZW>ACzzD3dj9K2U;0XT z$BY-Ld#1Af4!+@g6h65An=8owo`2%4>radQ^x;PrRS)+`l`Gip8fU}Kjrx4k{p6Lu z9Pxzgg~z|SXU3je_1~^3t)JU}o%iw!ifbPH=q*>`sWtRFjuVgVKJ?2$=MNWMc)jP= ziw=V1+*MysYt7BR$}=&SY`pKIU*S#^lncOId{Cf|7&E?+eIp^HPU0*qL*84vzrv11Cy5i;+5BWRkMQh)B zWZA!8u1x+~+2%xUC>yt*_N3lzsVz+(z5!r{45k z^Z%6f6+lt7@7n?r(kR^}g4A|^2q;K{bb~ZXNjHn4AYBSdi=;Ft-74KF-MMr(-}?H_ ze}3P-%p7Jp7k50@9na30GxsCQG;gsY_tJ%=<3;HN@XR+j3c=qGPt_OSgC)w>DZyd+*w;rn$~or!HBsn7=*D8ZDnONlS{hXvTyGA}FXhjNOH=`JcO zVn}B8`kiA89A$-yN_~}|O#b*7=3-kQba&}0{-^o3<`QB$25$yWV&nYIJx&IhmiZP3 z&*(m>JNn%g;rx3z5Y{5c2Syh+g2WQ0%w*&qvLAH#P<;m$Oovy-WO9G{sKRx--6uwr zJ{(1o9I?-L%!`VF2`t=+pm#-x#hqKF({8v8!l!;tR1(<44^TFRoDO&B=%-&ukQ11A zBiTyLaz1z=)pL6TaQVIFcv+NJ)L;rj?Vq3~s}M`Deq$sok;%2$oh0bp1)>Ls#wSQK z{q;8WyPctVQCv6nYLlexiMX~wIuh7p4OCR*UHCn&j8SJpx5Q}8iHMmUCg=O=7KO7( zatw2ng_(S%%u+z;*-g+oRzrk96oNE&u#Y!^7i!3ntG1Nm>`mHU2k!7 z^QQbWRAhMk-yVQs##Ifu3zXc`*jjvXMzVoGda)KEx-hct)rF7zTa5s@AT90a^Ot)TvuaC?eWFIjNF z$7U*wMPFGbu3RA)plGpI*m)|+z{h>(mI$6vNKwMVb2{Ax6+E-ZuEXa>?{3VW*7S`L zBio-otacQ|Pa0m->@J-EpmHXg!?#hS#hCZX&nvf?SEZ8-jb`>*PH%DADW(!Mq z-{gfx8n&t0y?uF<|}98|jV&l$M!* zxR!K@PiAvVImE)^i1tYe6WRUO4I(YHKU?~FD};}ooC!7O;jUx1KA3-?m^VqH_}pW* zf03sRyk2+aPnvEyv{vU*a*7$=;t|ZqdZc;wO|$<&oNP^uQmci5Tt3&SSMWq7Gf?U> z*pEz0J1mZwhCNwmuQW6&IYdpx5cM-Vf}2uLDvWcWj=uvU%yRB2A8s5*)}h8Om(l}D zUZ^6-w!6ieAb;j)8-Ok{%hWJM3ZC1gbe9~B>5BIvc^?F@A=DBnTWASP8%=cQ!KAmZ z$lvo>FZYF0YkGrt5FnbkD|!+W>FgozpO*$Ah5Y3XOC`a|#SCBe6PYvHP-WtfTpKf* z^_I*IF}!${jPY~N;hv8cebP()JvTk<9D7RESPgw{vkX3y@{;$Hm{g|!tzDrz^Mts6 zX}pBT4^`vT>NI39w$kL0XxhrCkJevhzKeN@q@!W6A7VU;%k3EH zQc;n0q;=Lxv@3r%i|M6k9STs+`o_}mRqtKb!U>B!vnnBYifAeW(-E#xLF;5zwrKcD zG+{q|_bPL7&qmA0sQJ8&OoNrb(OCgH0`WfbvKaCUEkaX@A$?0*`TvVJ{MV^msUfR|Ig1tBDzPR1d^{t%x^$!a*C)Ep0GkYsfc{+dE$L|(D%Al*H z0zYM94OG1(3u$RUKRQC?0UZyM?@8K?6u+B~_C-ee@}d=Z89pyxexEd5kI@a6@7D2zAlN@#DN{m6(ab%5E};(+VwA;V?mEaA6wWzPJz z$9VByoU1=D z)^dMgEbUX#%J87-rTr#d@3Zlionr_=cp)7DO?UJzVK(AdOJ`m`yFkO^?cjn^@~Z}rmC=Ud)7+| zr~-lgroVF|S3Y4oY7;n=o)!>vH8ZufuWS<~SNeW5blZS6F1alAhmP)tZLJNH57h}% z6Q{}_lFtW~r?P&b(L;CI6QF#&=U_eB>fYV5&!Qo)y4Tm|T;9uK(;O)07q08^EHi69 z)#zxN3PaG#_9AUR^gyJ6+wqdVwrhcx>!E@TYr}l~LCSX<)aX^#xeU5K&U3!w+}plt zy(7=h@33>!XL%g|!h3#vrRXy8&=5^gbUl9NP=s>5teQr9Ic(Q8xR)RIPYWMjO$0`e z6-@w2=Gw_n<#Qj%iVn#RST;llj;&`#&yBXuHIKe-OzFm6svVt=881~kp`9z1c$^{^ zQ#vmJ$B|5^8W_3VgG$F23uR2k(7S-L=v6#_Huzad2Il*6a4^wm z^58|oOvCrD6vl_pi}@XuAe63-_DNG)ZuD_vEn@FS^fjxYmRsG?ee3t(h2d2L+L3rKSIlb?hhOd9 zLFJu7l&n~Gt6}l|L&Mquv`#QhUGq%38HLt)`D9S%W$KzE@zHtFnj>Mp@>Ef4a+Ff? z$bwKM&mq~O;eohpvLp|n`?_KX*QvZ)ry74oX4dOs;?_j8Oy9NB_dA_i&FIJ<2&W(c zqeCLUeWJLog&72?$ry(ZipX+jRqH`Q(5>3nsE+NQXKVTt>)x~sx9Zpy%HRwAH;u%C zZG}nPXQAK|c<^19BUtSZY9nCiQtZj8kq?W^vT5&3b81#epun*e>jWfNOn0^{b~4*B z-+_L{p%oorIwk;8_=>(!e&Tj<#9P{LcyY=;xzJJO6(4(2fV4m4-Es*M7=cGXRrYpK ztZ|dL@=kP4<1D}Pbl*1vj6F%kd%3r~Vu}z=g6Z2VtzVc*;(~U+;tRCzq0RH5=cijk zk-i?#LwnroEL}ehw*(vUSK6|ep?1eT$q2Bxuk8zt8qe*xjkd$l?a7CF^kbjuY_?8L zY~8lGtRlL)dm||+LM9 z%3Y)?g3PH^!1JAhW(_x!7cqHb;_#ZNDff%E#h*V9HcB??2W9T52s}&vJ>ji`WPJ*3 z5-S^|nEmDd71I9Ni|7}DyP~q9_?vC5gmaoyxfWM?*9V;SxmjKXKxzWX0>{!$9kG~(j=@pkSJP~S*1-Ab=u zlidPnt?%{vs<*CV^ZEvW@B2x-WF-zwJbwmeivItOh4V;q9qG2`l%Wos6VvYRlq&Og zUN6!wjT-NhHB!9&s~sQEhmd_705Ce)`k^hHAggNHKBAy5Ew0I~zCYY~W+5`2aOyC+ zzvWsB4O;lt5V5@yiMF?`4|iyNZaKXXSu?SqdRZfCCtP;wyN6ymw|h{hhzi=@Sj+u% z?T6aCbi1_mTSxcCi)Sy)J(#MGIA3U8TN%3;Mf=sVW>;LZ?3_7P`LL-hxY*E^EtQT% z2Azl3+Y2|?s+fVVi*&EUP8aq;Fe5gm$th3qdgJn%-Rk7&ma#$865EtBHzZT`WkX8Y zByeTIHt$bf3{YDSNX7F~6Yezm5%OZL{9(WRnzp7w!! zUDoLOE7l<e}3JJkIcda5pJItUipi+#W!W)!eas4?D6#3xQy{C z*|;3B_S_73Vd9C(Bgk?UzU)TPU~71& z@7qw_b|^xCD)L3|h>r@detpdA7$kE<;^IuTz$VVJj^cdF&y3cX4qn%_Pt^% za0Goo(qf}>)_P@AUTzfPHL{o@(yVabu6&DtHo$Ej-~6#%2-b^XGk_2;v@1x3!U z$l>A<%r%kdLqEpcdud*6eY^9BaB*_E_36{UkY(2|{&_p@XU@lZEzL}Wt~7gy+` zoKuUVANQQgtYWV{0uLKx46fnwJ`q6g$Q3ktcX0Q|>7c5OZ`^qA$Pec?URfssf+=^! z(5L&xJu|7-I&6izp{mPa;8Y5~m}W(rj`0cStSDzO@2*~El%DOavg>)3xeIhdkMTuz za>K>SZop_qFa7eEx>r_A&mq@)zpP!-OEVzmT{GWH^_gdxXJOw9P3i)zB0fi6l{{?_ z)K~@&c^uKEx~3o>n29-9VF|;X1IhG?*ER-$|Z+__&QVw2;|D`)%cpJ~^(z{-&LtKi(?#1&pPntA^IP3FkeLFg zw;XkrBwa(qkowJr&d$zE?r6+%D8+l_-L7p_Y}pf2lz!~(*?Z4fY@UC<$NbkJq4;uBp z%C?Z|(V^0pP1JUkv+33!w}zI**c((nItW@`q>c#+Tm0Y$M84;m(s+y~R$9Qh`C&ZErJ3mm5F_l7_9cPV1NlnEZbx5qMG383G zYyDEI`=Y_fU}M?O7pttr&Ae_AvD`@WdWg70k`N_}rYzy1ur}0_kZ!*1x+k1;Hyou!2^kO17@@K>9_uz zVktQ7&SxCP3%8Jt#^ z%blkc0Yd)o)cAIbL}sXYad07y_Y7Zihdq`=Wt^;qMl413`Svr3-4B06+-Os0Z*s=z zY?~fh2qfF~(^`}Ndd|9t_(>%uzBVoXM4&Fj@I0o(a>9$J*}qUOv@z&xx%#E@4Yk^R z;%7*E@*-7Vqk6@))}3KNZC>^;y+xt9QTNQN1)Rlx#JgvEJha(zp09vu_)*1E9A38j zD9Vu=x6r#SnewS1BjbH(46EkL9orzKhFU z5_Zy(T@3aAq90~i?4O7)_M*B`N|yB}`!de&*qt1y>YitY%KqwPQFFq*(%KC4`2AF- z+HjFg8d|(Wy)A%cf#ldtJ4zS}59)X?7uD8QwcAHpPMa+7#=?$}!BIz%LFi5xOffV+ z;YNbWcs%?hk#=MV@=EzFt`fXBEiF{>d^xQvlw4C)RUzxST6jq_&Xb6VGV8&Bxk*iM_qZ)A47|MI-#iA+*tMf8 z`|!fZR1VdgP7a0Hl4v>{lt1LQeb7iiQQ8SYre;{IZ_0L8#?#N-@^OlK#W9=Nmj3$5 zWWkUEnvr&#JeumH$2mw%Riv*{{AytS(asbEPfWPb$AG|_H-D7$rEF1!v;a9SfexvC z=xrf&TB-L>Blr^4ZZJ?Uld^t_*RuUy6&)yP?Vmm(G0ZLa)PIYSeC}hK$df(`LXfS*_H;3|VzZKVR$ds#CxBPe(pn zu|dpJa!;OI>Dtr6XU}?@mTo2RIChekJ(o>7pDvQigW#Dwd~WsG-R`13u<&CExk#=E zAviDdJ6&r^*?k0_5_L{&+;FoRDo~=Jpx7n}aZ|9Ko~DtMkyeWgnr6`w8qh_ZB()k> z8oV4lDqgMi>a4!aqyvv!%pMSCFGjxi_P6%2zia$>-2A7;9o&1WFous5{?jHh=Exu` zY1a&Cp3^k_5JHA`icJy;xg3g+-CGXYg>mXnf6bS9Dap91Iy>rT#x`;OM8#=2kKL2K zDR1yDH1tR8y{SV^eJ8aE-vcsk2l9wB>GM(v_&r`Sl4ypx_;V@CDMWAyAwt*4&5?ar zbOolG+1sF^v833=F(fVc-9*Oa8T09QQb6f`L|(`{b;SPiq{?^rzTiq!?N?ptuU~w) zz_@tf^nsro`;5NYi7=fFApOB zpck^&HdoV_{c2*FJq;F>wUYw=WkJqkp@LyyUp*GP?KCr9MQ#SN(%N zSyNooXEF^!j`wuzv|*nqD8+1u)ZTP+BtyAxNUeYSMoqjXPiDR0idr2>JTNc6UqG~! z4t*2xE{U&8sGs0dMic3MKxSFGg!jrXC9*M))}hj8GL!TJ1!SuUZ|)J<4|@`-U}Rf6 zZIGnW)3UcG)M7!k&w5&+=w+Yyu+8*K-;Zp@E(GH4fgHPH<^h(ms8Og&Tmu8}VBMH) z;>r9$A$o+mBXDiT5H%?8I7IE*JXZAcsGBceOj;-5eRk*47x$l{xr19LzWa}dxB&x(N_*G+%s(fT z_y#o&kI_|m8;M`)O0posJ4ZOHm0cz1bUeyXs>43^!2A!xEh3#qS0px~Q{K_&Tz>_< zx=X)J0o3Rx_gkp%={v@4CS>2;6kwgj6525vQqQHbL#hNw7*%)D`7FC+UycWZkx~g6 zo3FMGsJ5hDy;^TdPdqbmrEiMq2tvs9Q@ea{mE}%T7c1vtyo5=aP}4>4xb*!@b!$*( z>wC*vgLp`9t1=U4Ta;>DMNVCvr4;e{OEqwI$U@K*AN3v;uv49VA-P>p&HpOzXh1b0 z+k7)j>)o3IbbgPCDO+!vb*~(+fbgGc|F_R=xTVglFKi{vuF}mWpZQl1v zu=I&SsHB{xYurF6YuXM^C;n@pbXCvc?M$!EP`jy+GgEoNk15K(#?!_IKEB9WJ#Stt zAj&Gq<@3!BMw#`(h&Faz%lyB-aqN6crv21T-$1_ALR~#y00@*JFoa|@bdPx7cgVBA z+eER?$q-298(9U0hrH_gsE<;mB7NJ0|6JoCEsMKLjIIcYG+eHQGWjjVBP|%Y*v+jw z%$B93FFBvn$-F-E`n)AW(WgY+@fu9BxaeUkp;z76{0W8H_9wW@)HUak<<+tNhN)Kw zH%#r>ME#;lR2Tx=9j=N-I(izXTP>TbbPe-I~WlP+k#-F4*NCUi{$2l}_} zZQBwp<)KpaeAs?XZO<3trv~v_Kf{UMo4zVLAE7a^q%%4o4Js}1X{G5Jiq6pcarjQ) z^sDcuoYo}O+~C;zg$dN`hg+9$lPfz3&nzpX92NW+1Kl+jj zvMuDcd2dv@QDKdFGWmsYn$B3FH@^4p%>$~vRix1Ol_k%SErEKxj*67?R9~i>%Wj>#6866gf z3PW4rGBgR*{NLtA7OVO_uF9StU)ggFjVhEbACD_h{IpN{N>GZ_kaTBo)DWXqt%(x0 z%{M{GO^FXDemVQ`xn_*YP+?u0L~L9l5#6nT3OSG*&f=x9s|E4vLgN{Vj`%&sYzQzJ{NCN3?hB9+ey`}vwnVtA7sH~Hdy%4q)}(T zn1Od5H;h_v;*vZ_iE*NZsrvp*CepMg!37URC2BzV)<#%u!0m3K7nxkoPAAKV`ypxG zEj-DVr^jTl=G5^FVw18J34Ey}EhuSKU(M^s5k}N$C-*|iGf`{5$EGOi_83K^UUnN4zrQ4yW09%liqu*f z)k(D34f$B!)XHMI=^gn*d{k;qirGa@J-ytpaLdVsz|epJ&n!q((v^m0EtKCpEH@qb zHKdJ%Ci7N46DynKtI~bJWoY&C(_HxRTihJ+Q z{Fit(FDT6n4gnQBS)pZ4;odfqzP8K_Mjz@pB8-BoPg=|6G;8ZMC*j)zcOG|r+{Ssx zug2{fPI*}v=EsfSb|*xkI69i+_S2MF z{%{3hW9F(-YC`RzM%^>Xl6NjPUcxtP{fGvo%7XS$Z%BrjB08g1)tIJ!S``p|OU)L} zTbpE?QGhds53qFINy(>Oqf^_=7ZNEhm3bUH<4*nHd;PX*YTK`DMze!ZqNyo>D zMy0iKZ1Pz78y@>?W60La^y1Ess1N>ozvXtvnK666KudI)s5#-?wrVLQQUbR7$00aT z3!8gTNhQDM9N|0cZ$4@;)(+s{mCFj6wUeWuKeN>l16TX354Tie$6OKwh?ZqjkGk1T z1hjOce+RH-mS`}eW&@n|XPNU6LaQeic&VP(d3Tp~-bPM#2GgzD{4ksvQ8|BM{-OBi z{;W*ddT;Paa~{`H2dSI-wShq3`3t4pXR6c1Jh-z^hB5Xk=DAIygYE;oSy zI4r*Lh=2k|>DhQdIgf2ENK_lA1yoO^32@1zh_!kAjA=t8*xWRybQ3w)>%@z!Z1ph0G03-i{LV*z2 zUs)s^gl!jdz#{?{|MDE;6&MW0jxY>~1Ooq}FbDvf=|3(*|DtdZ5}OV<42p!rKfCy| zUf6%?0S<>C0e?{l0EBH90YG5N;U8HT>_0>!ARr+0FN#3?hi3!~f#Lb-CB`o3zZHx? z0-)f(C=?0D<_ZbIz<*H~6oQ={NEi@?_>00ZnSzx&nA`v(<0Y;Lxalyh<3F-+7&u=1 zihzd>3dD*o5C8pE7kAz|8B&MD*^P=Mc*MC-vN$CIICrr~p zKmmVI7!13c0f8U{9Poji5ECFM6su4$E+GKWe?TAvgcVyL2mput1tCZTw!m`(tTr^F$|kc7ZaRg6EFW=w%Yc$XFg0Ap1>rl$hp$#DpI=rP){O=4O- z82E=HE(Qny(@L>u0K*_a*uO9c6D2Gdli3jPzc6N8CAKtX`Iz$hs~i(WY}*jb8Cu{t zTnvjKFm`tZLf{Ax>>m(ACw6o&)dK+h10pdVVmSqcV|JnV9gJQS0D)bYK+InApHzS% zVGwNR{xlA3BH@^OSm_DG82isX7y|K6fuR0pSH!e6AOf2p7!rWM&S}hyZ0tS-fj}Yu z{XaM+c34Y?1A+g$U;MET0Acn|AofZyyD@f#fiUe1yKq5Z%=U?uiC_>I`M*Z~*Z>1T z5D1nHFcgeJ!mwz?4E)6Gxc|S`5FiqQT|^MfIxycT{^8g$2YMXl4Qinj%chFnb*W0Wb%eB4J3=cyoNh`y`kNpm5^5ccoRH5dS|cpvBt& diff --git a/functions.py b/functions.py index a1cbea3..bc61c95 100644 --- a/functions.py +++ b/functions.py @@ -1,6 +1,7 @@ #! /etc/bin/python3 import random, re, subprocess +from math import sin from hyphen import Hyphenator import textwrap @@ -10,8 +11,8 @@ import nltk from nltk.tokenize import RegexpTokenizer tokenizer = RegexpTokenizer(r'[\s\W\w]\w+[\s\W\w\.]|^\w+|\w+$') # initialize tokenizer -# language = 'fr' -language = 'en' +language = 'fr' +# language = 'en' def selfwritten_linebreaks(string, linelength): count = 1 @@ -395,4 +396,31 @@ def insert_pagenumbers(pages): if page != 1 and line_number != len(lines) and page < 56: line = (' ' * page * 2) + str(page) new += line + '\n' - return new \ No newline at end of file + return new + +def sinus_jj(): + line_width = 110 + line_height = 70 + + out = '' + count = 0 + for x in range(line_width * line_height): + if count == 10: + count = 0 + s = int((sin(5 * x) + 1) * 10) + print(s) + out += str(count) + (' ' * s) + count += 1 + + page = '' + linenumber = 0 + for i, c in enumerate(out): + if i % line_width == 0: + range_start = linenumber * line_width + range_end = range_start + line_width + page += out[range_start:range_end] + '\n' + linenumber += 1 + + lines = page.split('\n') + page = '\n'.join(lines[:69]) + '\n' + return page \ No newline at end of file diff --git a/logos.pdf b/logos.pdf index f0d614b17191284cac0da25d2021809f5efe1101..a71d2a879cfa23dc1b3152b75233e8d283c2f0c8 100644 GIT binary patch delta 5760 zcmZXU1yoesyT(DfK|-WqXc(A;8EI*xQ(6#^8gf8Nh7ReL4(SdF0Tom_2V>}xmXs7! zuHOH>ciqo#ul26I*YE7JpXYtnIeRjbZX=T}SsOD{&#O+?y=k&WW2oh~>#2J8?kdP* zIRsHe0tK9~z~14@a!NvzYHQ0?NgdCJr-Q)OJO%kf*T*UeRl9GXPoo;N$~kn@UIQ)f%7I~e>1bq%2TAXtaotvopI?xr*5E%cAM;v!b@V2 z){54Rcm0DCPEMmoZIc~9LmU(?HBhT#-B4O_+QLi|U>#j6>ve{?ltg9NSvbqIAdwSJ zdow#|p;vWqYZt!Z^DIuCpMEdgCS)h9FliM0h1S}jewI~3DY^VFQ$DdiIMtmQr>wZ^ z5^s!~q3TTSpJiARIV%sM5bagoIQFLF8Iuq){J&&M1kyw$1Nm%#=`QJ9h}UFLyoO;jhe zBr*bNBErAZ-OJ&65p~;lzd8yhF1gH%S3ISCMH@2=W%C81t%!z&k|tG2((xv84BOsR zzS{F9o563n6HCJC`D3tfQ-_2=o(WH3)f)YpkGk80o`#%sr_>CS>&Pa?fHHCpZB;vd zo2XRb(K+~Iqb$;>bVmJZ1pjahT*lt?)Rjn$Q;}KXJ>9FtZSbN>$IxstV^{m|umNT9 z7}L2wFpQKXht+690k5jbd!XY*qIpMdV2m`ueTg|j#6(l);t#dtNR_!peR>*X6+8%J%wP8?sc}pzj1n|%_Jy>@ zheC%k>3Yp5lfQH|;J;Pj34l=An%uIyG2Dk3RCxOiF34(!DV?`vinNwnwHQB?zkerb z%&vx6@f1HQIl?KM(1;lVYz!t3$aBppnoN(sgT;&93>RH}kH?1Cei@TetGG7Z`5YM- zTEMH;Qb)ylF<1co;+G<9jpq=uXl7! ziF54ql!Zo8m?c$If*UMGpTTMY;5@|!5N%iU9n_WIsNzdOdxZGH0IoDz?Y4>;)62sn zbI{VbTBRBhs}NtbA=j-SE<)2mXMRBRHv1X`-d9?IK!u;B)gJ8158W?riBV`4{tVd1 z5~4PVH8m(ccwjH_ir1HKn#NP3WF;0TSm%Co zVwOofNl^3lGT2H)?d>S7!*YbP=J)iVB0+3+`ppbuA}h6$B11$3v7pNsOlyjj$*v3P z)q@GLsZ2$B98x&){X(+QE0>hx?ULQIIGQ!yc}yr8%9xvJEVqb2ZO4I2sgp*kJvzyW zV&nnRENW#&J+&`N=_=J!r`iqLh$6`Dfw9L4!zq)kRIy>*jJ$P0O{{dmj$Q{*bo8IKgWz1EIKlPlAhbfz3sKI(7h3%l%!sn!s>2`wj zNxae%zTKD6oMS3;hnE7kI;ppAB(i_HDq^=}y+W3+AmLcE3xL6Yl=O-f3Nj zD~c|AeC=H73KporRp^t*iaar+FnpuJK|-ySocWN{V$;Kt5T>p)^k${BCUMDuA+H z33~+Wv^wGNw20~%ggxpg=lLKJXR@n-zYA3kv`tSi*SC!eKWRM;)?&e@M3GFXpDeJv zK@}Ik+p4%S5=^_y_YxFoTv7_wF`^8Pal%9kH|yGZ8$4I@TKyDFO5>uUTSHhTy&i6I zO@={97X-V_C#9S2fY~6trKKe#Y%1?~naAc5(`>oV;I<(&pW4zV1QYNrO&xfR2(=Gh zypt~3qPT!NhHE*j;n$vNz7)!NQr4HO4|`u}Nk3>qexi`))>M8evejuLhH|TIW_M9USzDJG&Uyml$1ZX9b+RNYRo=_p|Xkr1*TS zOz@*tm6H3g$Mq?>uf)IuM=ali)f=Yq3kdtjuWSg$xdO+cFa;&YofG@6S!u2OS9v$Y znxbmnXO31^^Fq+g!;6gi42`;vo;VvZ*A&OigefKyJz8G|9UbfK^KxTEFG!iOSH&VE z!0(W{)nvZe7p)9G`OXMihxg@IK;^#Gni&~_{YneH>0ehHLqntJwxrj_(>S{w;5+ne z5jT<4PcgyJc9B-;`Z6;7+MM3XvoJb(Gc_?8ym&0V@@^utcb@^0B^PE?B@&^9(ISt%S4+n*cVjv z2}e!k*UZ7C7g4nSgQj=)oL5p!B}VgT4OA@Cr)`Q>Go#e{h3*pL%${1vtDllU$ZMY!QoiQ@a-00JTP93CG;LgLpPrQoN`?OU^#YI&P4X9p}_rBUCsUl^nJ1#w_eZ(Z!H zv>&B{m`h4cy5rIzs=GG3M4%C_&|GUSW&mh%LUGzS$*_OJFscMva5jgsyiif&Tod$d z%zI6x7xadPPSyW|j1x9nEb%PL%+(t8x>*k1{Z-2tCiL{1#=M^ssX?rTM=p`Vwj2Mt zi73hK$G9iuRRllQyX$Ggp1;y!8zMG%fxuHV@!;_T6UOxA1vt}^3$1nqCtfU}CrGI; z`HP?pinSyg7^>68yhMp=?`7iU#-v%5BHJ%~z-^T&0~|mFl-ue!7S`_*@__;BK!}(T z%O7$=B4#7M9?=p|*@AQvrBI#pF4#7F68u{NRXJh3%~~>ycnMt@q)OiNQKDzhI$|O! z!gplFZX8aLP;ys`CrT1`Wwvum?MpIUqzD&@IAr)>wAWUc@-`NEjGrbs+_Y-x!aQ&N z)alM&6Ko|iZ?w6+?#_u@J{g7X<+lalU|DN+}-(`J45$s;cXma5JVPaX+Gj8C zLgwl7%7KnffsEcI(mZ#omhpdPzJG|r?Qy-8(=J~X9XaF5Ex9*4&V_R~$&Ih7^k&39 z#~T86QYqu)v{i8gY?%{R)Ebc@+m<{KQ8-Jn$|3)K>tu%k3h$g@o{hAkfq5*_9(9ij z(^KsdPbqC2Bz|Xlzw+~>Y7*-qi(UeaQaWt1PVj(TPSw%!wnOaakq6(DW+H+{GDbTt z%M@jLv1N!svG3(fzVwn>dd4=NY6+d*v+TsG-dI1W?4kv1t$Xs-bz6=YWEV7DdON#J zjy=77U0MS{^>4#nUXN z(7g_M^Euz|WO6D$oU{;zwC(I0g4{c!XvrVbODf;vKy}vpFK!iBE3Td$NZgeSG^M)6&06ZbcgthS8f2;~z_2`V zk29}-+cECaZ0Z{xdbV`{v^^JWuv%s~cxPmI{T8C@C+M~%)*X_)WtYQFoN1?f z=%`K0&&X6Ae7k<-dBKc)gf0TGVqS7y?x8*Dllw|IhfXM{Kg)~FhrC(-2`yp!B~i4C z)I(hTp+(gAFlE6xo9czQ7AfliM&?1e#p|Q6diAgI@yLj#(3r;-w905}$I_yPU-1D1 z(7dv(9pG1Prg(Jh+Er*0$Q8waH5GD=MHb!j^hl$k_G&SwAz^#PA?U23;GVu*Ps7iN zL|sgInyablLJ7u&+p0fg$ak}Vqp^`bcwOWzI$t^^N_u+a^V_itnfZq1;taU02E$VhXf$JLcXq07 zgF3iT3ETW%>~Sn~z^f^l)|EPPW`DUt-nBJf8B<%a1bOABxGC+77v^bvuP20rjRO4K zj)t8d>&yku_{Bxu;6yuO7-ib^HjNp{tQ$V-D}8uTh$nOxcL- zFf6mky{lQWLu311J?jWhQU#1)MRRa>8IgKYWBmz#Wb{CvOJ^wtWr8rG2$Fj?!>;)# z{)s*DE`v zLJybtIdb0Q=xBvvJS#2|UiqZx1H3vGSf7Yc=n5I4K9P4l6l4rw7!5c-6dE^tb!*{U z`8*|CB?p;8+_^%#%{`4aFP9q--!uSn@_XH6dzkFtU{~l+EiQesueO5?^6;@B!c|-3 zYvP_30JyljD4vmr(jJl0xfm z$ehauG%|br25T%6sX+xLkD(XP8(BXIXkan$=g_Y~hZ*`e!}&fDs8gpdV*QkVJ%BxH z>@7Y#)a@2PC>W@$hG)%)Jtt`xUB%}}KJFcCI4MJD?hv`-%ff}`qR&XIS1 zJu>~mxXn3nkmNoz;?=EHRwi#Xu0W!L)1HQZG#+MT8k%;OfFU=kup1mOuUI6f3Oc3H?@Bg-uJ2_hUt>i4-v|XY;#UfpDoC$#B*l+L zn{s#h{fg-iDU~{@B%*o%$+SA%{z(r{J&7V}ia>WGAr^LW5stQp)SEaZb8oy{@`Xm_ ziQ@Fn$2MxCLbN{r`ES=%u zjdVb?JEo!}uHxam^uD>kEE%nCPfM3L#H$s|y0X?3w`%-dV~3l!KZU|uwSW{i_CxUa zY_-_8fmz;OIQM|eEOB0mi7q@jLT;MluGNQ=O(s~)=xejs0RzO;F9J^4L-zpY0w2jW zG0K{&9i5;&BN_U@!{^cqJx2nv^mNa>H6@F8dob9gU+*6+T)R~@yH*+;Bw`njsc073 z7fk>){I@2;IqS;h1Xo!b=zt13zQ=ynqf<{>#}o0iW@Ts+w>(TfwgpMC(n>O_Hbu*_ zxZ%{@9dS7^M`V^i&OTXd_-{0PO1#EbCX1LPw|BGiMtj-Yp#H4fZJo*CTp+GLa~drJ z(G55v{1!v>Ee8DGb>nvtwBKSNq=%8f!5}yoip&D55u$_bs82F#>LL?<% z(Esei{C}fx_+KKR-)1ELIuHbx0R5|>-wY1Q6c{?D2=~6__#P-L2g|}O7=Wh zF~Q^zM(q3cP8JrVMDexd<=5w~b=HZ0yuvQpWexv;75rjBzVCnR@1IPZe7&Afv-3}x zADRB@8sby9=8Fc^p?Dg4C-y2{$!e*5t2yP^;6cRx;oXZlB;Y|m-<6ebK`uq3@JJR!O_2f3)*``>GA(EO=INW*5M?iRJVan|s6aUJz%Lh7xQJ%>PM=tkD& zHxPi|CAd0O*Zi501WT*ik|e=ZjiX~65k6*$S?_lthz3#<=YTVeRR;BFwYb1;a6SjZ z_yfkI2txcoQH33k|%_RZ2~!Ja)&lZ z8Lx;y@&e;OpH|0ml~}*4?J!r^M)^=q<;Nl)H+D76CU_r=Wh4?#xxUm$Fq7Ihzbc%L zlUho+>=)ltr!9f)X?Lr)e$=F)wzC@JNL1ElrQ5TN-R__Wnk1-!;UeVrNo&|hY>f29 zrMn)vpYrZ;e@eqvXlaY5m9>~1hG~cD59SdX3+MMlfBdL~zt+I1Pe z6h|4-nSWmn4Pb`;IIhgF_zYpP)e)fL&ozX|^=Sz5SiwJBk)lt}D=X&@Fg8w}k$&hd z7V-%hu2D7=VxHK`Z9p*FF^h07b*~i?)p#;%^qG#(N6MYGbfl#ypJ$QTmT(0*l&qv~*h9(<+{R z33kV*P{zn-w!YsUxc(B%8xWz+aZ>eSg`6E7L(uuTQ4njiBn*-NYZn>26*uZXMhoSP zks#=>YjrfeVRp4gAuB<|NAI+E6-sZPZbH71LB)2L#bmf!ql|77YOEG~*t!BL<&hoX zH``5bmC@8&&In9I9065o{>E)eyS>L#JUZ-*(fXUbYcrk&zcn|NF-)ii8kq#U3@9Jj_d zBCSLH1bd9kOb7hpfPxY;Q~wZXRRNpBav&9^XG2__mLU528c#-v>M1{Phgdq`QakG^ zQS&~I7FI%*XP{-M%%_5XWl~O03I-~NV!*-Gxw%NC+wI&zBtT0|O|j5cJ*K7$T_$#+ z&SoNbZISA_?z7Qb6Qy-kNlI%?XPR{@U<#keCUfc@l1!duas#ib?h^nV$7*W$N=;I$ zMH@|x9AP}ig2ub4>r`ivx|2<*$~=n(wQx^>u5PM|%QbmPV)v1{Mb;wysfa#hWbxQw z=TXcu8R?D{Sqe$8hOg0YN>DYOM|&`z;TV}O)SxH7=uig;$f;DQoh4!P&{MOs$9(b{ zzhTsgZy3dlCRVvnclmX}$B;$Q@1&eu(wD56fgp9@5nNiKx51JdYDj&ug74=N7s#|) z(1!|=S*(~;+^3m=S9>wqAohEFUE+925EIH*>1T-J%U(W1^j5Cwi!?U? z14oz05&4K$gHkF-#`rLpO#o_Ie2SGvHQjaAix2`l&)HOY$I6V=4tQbRTS`aqJd!p@Pj*?I`jsQ%?TB> zcl`=aELHNIC_@pNYLK?DZ1Iz!xMG?O2E@~ky$4v<=ddkd&nC=xy_xrlb6?Oc6zO9B zlwCCHHAYjzw_iqA8O&w4@L?1kq5=sP=AnveHr*JTWJXPp0QyO-&1E5y&+2&{?*cH*DIXN?58iy)_Opgy)=Tb z(;HssF!*&nq0LR7JOoe`g1V9~u(T-5SY3QuZRe*cye9C%y$1%opHDT&Bl7MAXSqqVH zYiaj)dlW zECs^|B=T$G^Q8-B0~hrL|8rtiCqV3t^lhy;_&GZaCR35+t$)7ounE;mkNC z`a@W)V5D6|b4zKEX;PZ!v#G3`3ElO4R&ecEY*|!<2IOpeQROrEjORyOOR1i8=|?{n z0SwHTCt>N%qsFBUFKDCRVj_5*Ml*vtQPGDiub-*@Nstz1^?F5%L1}fS_vZ7kj~8A* z_?yJ!%8w8k>9UNVMkb3f&$Xn^uJw*$-AfB}caT?c{|au9R zI9kJ6XJ{~;BcW|B&C-9YR0>n7Z;EbR03wi{7|BR1V`e%gGp{8b#({9sKea>~VA2rm zvL99R_OyV?Q_G_zw zM{@owz(?;(|IU7b!xGcYW=h6_?~14Waj6imSl`C_{umF{xn7J%x(OF2RPUWc6E9#@XL!)Avl|?YCSf zSf#alr|t(!3X-qU9!c`KJGhS;_(R1YApg-4M1sMiK|sw_<9+;y#Jz!_qQ6G60dZ$a zXCAR8E>jW}BV}|R2`SVLPd#La>4Oj}n$+H>Pviu<3dA-)-4Q#}ndcVuoE3OmD4~$p zh%Aml-Z7l?{7xcHU_l*9-1kQ}oOq63`vRUvY>GNp6zMf(FS#WC>PScyDbn|yG8_h1 ztqc7{4h?TH8SWL@-}Xz5K0w|3r!l;C!x8fgV>*Fa1Y0E{W`tBy+NnY3d#@Q5WY*6s z_ovDG!**AU5EBZ{ljQDQb5-9ihd9ci(z+Q*MFU$OJ->;TOdS65Ka-qNm`1BV9UZD~ z_CXi;2q_>ezfSC#){>Q49)>s^(!9O=fTtPN^}U1>2mPI_%Yln#t9(z$Z?CJ;1%w?NtK;P2-SeV2zvOsjpM z9)rHx5jSTyB@46Wn(Nqm&3#_5UO~}RouMi1ex53YY>+xe@VF8D^v@XGw*@%IgyzN7 zeq-6s%#W=#g@RMZm*_hUgEjjoOj0D-#VBJ~dGb`xi-F7Egm$7!zVZ7d0gC#q_wNq4 z5i{wY_=wM_RPo1dqu+8o+BFzPL)n`l zub$Yetc2ND<=8X=$eRk`u|Xf3K&z9MJZ9L4Bt-CWQ_&slsG^B0u!>;y7%KEyYG{;mgFv!4MuPe6L({&TPGy#u2MESBSsYlo zv2|EXRN!Em0YZ(8D6|vXR`V4ly{B7(-U~u$uzU~chfop;ZD9Zu>+mt1RV~q5W?L%R zpc|jOLs^nhIC+1N0O97Qm%X@t(?C}`0&x_8^Ne1=*WFH2m|9U8pA&`G*7)^O3{J-9>wmq7;Jz;PPcQDxQY(o} zO4^*}+GDU;F^%(6Ro=0Ue^Df)8Is&UVrX)U=@Y`3i+9es+{`_Lo zEDS)CCGjF3Q66uc-XKWq4AAgKEV$=;Os=D*7y~!1HnFKEI%5KwxKj4mxw}-Jq%V!Y*s^&yhsGDxNIs!nuq;JJ6W6D; z>CMJ5uitgHSHB%uCTA3Dx3A{mB;OpfN^xpMG-009&YDniwdOcJ`*Kr+{F2yI=Es|_ zdChZVMv8kngwT2M%>5xnMASKKs*s(+p@pAIH!iFLB@(FB&*WDVR=?wCg-M1bM0YGN zT?Kz;YRY49phZ~)SW7jn<|mRl86X?d-MhWP4!5K=pQubT?a)1|re2Dn>berM9hXW+%OSjqK2fQc6{pN9?vR$h~gi;8OX5G1XkFfj2p-H}V zlNVaxg69}pT|*5y_$BnOJ-_t6SBxkx-DO&4Tk;?yT`RmR$j)(aqAqHh^ee)s8o%0* zhbepLGy+o`m&pvq2TEf0p+(G(3%GH&M7wR?-RJk)&R5a!sqAovPw8C`SBw*-H1=N@ z^US7(-T!(XRbPPEot;}EX+5QRA@z31usZ1;XN_LAh2_2W){JhZ-APnheP=Jd*@5qS z8L=6uH7Pnbc@0#(QRShF8;+47HKuvED9oLLVi(C}5nX~3DUIqQq$t2Ir+vx*3#>i! zeEZmb#jz<&asI%ikP~rK#9wI~6z{R|jjF!xSnl3Tqhl4(*Yj*AzW!*ELgJpA>wR@` z?nXX6KIg0wIC^Da{ni*gEJzdc>MadInDtZ`)1uikojt(G>eMex!1W68m^BlK5X>a6ZDr1zE4?^v<>9!Duw z$Hy~03f*=?=$+m&539OtD|oxZZTqX3>56@5-57+uzpu6^2K)q#cv%*5Pph<+2>Hj2 zd0syPInf7qOO6nv0}5EStG5f&h8AcofENo{dEQow;awS+*cnK*D|VMsQP)6mSN6FZ zZ411P=}1NI->vU1_Agde-izHK$X;h5UiDvRo;|-$mUwxQ`}^X; z>(eHIuJzf;{@_eq*l2hy&ke?9eG`MLMQuuAY{^Fro#j1yOvLz{S^^o% zKbVJ5gHeCZyfSn9+^{b=B;n!dd+zyzq}OvZRCKINQ(SZt8!(V=FX9f;yiC^cTkXH} zC5FF?D`NI6;(VnW2)X98w(XVN!fMOyMAs#d^Wni{_huw{eOc1WS4{M3^7YsTC8Zey z`%28GmB+7i(I%6m(!!g)Eb?_%5;A=5f_d{1n+q5D*i&C{I|_E-ITcX$(0b>U}-5W*?i*nzkmb=swG))jc4a*FuMb{82|6u~qxESBfF6merZb52A8}6ouYCsx_&McD!mPJi&x5@Fd0`nq7L7pst3{# z$pNRc@+b3jfB$~&p7=UZ3*2XYO;T_o90ty-DD=3EgHs_G{GBaR%rRp~nkG%lI67v% z9FO^T07B?nkp^V^_u11|hboD4ZW-Ko+j2RVLkz#Twe{j>gBc2HH0cnl!7gX3bmb7< zonLpDIo^NDo^2h6zF!=Oq}s9jYP2-1a{I<2x%%7Ls%+ifNaU}sGM24=A`gu}hTLJd zZ{Q~;YRlDZ7^_oWy^UiU7Mc=Ywl*1~`R~!+qzdb$LLV&-0GT+&x4j zk%*iDLqIr~hdi8z9R2Uc_`5N`@Q`CY7Q_|c2l5Mo1XE?@upB6aL5#qE7Na90!G9ir zLIS|l6FDq$bWrND92OgbAM&7rUjz&me!##YKoRi28AwP3DDa?;pI-n7exS%N0D*u+ z{(YApEG!86uR6s4wI(F+Km_>LjL?IIKp|luQ0U(c|6u~a2kftDF#o?9NPu62|6lzO zK;S=6@WCYiO!wao|JNWtNEj^gK=?0%@IMg#Ck4R=gZxDz4-@1U00H?C|8fHa{*CMZ ziwFxs{$H$rnaBgve`6JZJY*1{;KNk;AwVJi|E>f4&&&7=g#`st0g7141i~W11kavH ItH==i2MEey^Z)<= diff --git a/logos.svg b/logos.svg index 6edcf1c..8c0364c 100644 --- a/logos.svg +++ b/logos.svg @@ -40,8 +40,8 @@ inkscape:pageopacity="0.0" inkscape:pageshadow="2" inkscape:zoom="1.4" - inkscape:cx="586.70364" - inkscape:cy="405.46949" + inkscape:cx="431.3465" + inkscape:cy="88.326633" inkscape:document-units="mm" inkscape:current-layer="g943" showgrid="false" @@ -71,7 +71,7 @@ transform="matrix(1.5535331,0,0,1.5535331,-107.80599,-154.48735)"> + transform="matrix(0.99037148,0,0,0.99037148,1.5642691,7.8007705)">