From 498c535e5a18d8321dd84ed580a325de533b37e5 Mon Sep 17 00:00:00 2001 From: Rory Healy Date: Sat, 8 Jun 2024 21:12:27 +1000 Subject: [PATCH] Rewrote whole project, mostly out of boredom lol --- .gitignore | 1 + LICENSE | 232 ++++++++++++++++++ README.md | 7 + docs/SPECIFICATION.md | 201 +++++++++++++++ part1.py => old/part1.py | 0 part2.py => old/part2.py | 0 part3.py => old/part3.py | 0 part4.py => old/part4.py | 0 part5.py => old/part5.py | 0 .../project01-rubric.pdf | Bin .../project01-sample-solutions.py | 0 project01 | 214 ---------------- project01-marks-updated.pdf | Bin 54570 -> 0 bytes project01-marks.pdf | Bin 54735 -> 0 bytes src/part1.py | 36 +++ src/part2.py | 28 +++ src/part3.py | 32 +++ src/part4.py | 80 ++++++ src/part5.py | 110 +++++++++ 19 files changed, 727 insertions(+), 214 deletions(-) create mode 100644 .gitignore create mode 100644 LICENSE create mode 100644 README.md create mode 100644 docs/SPECIFICATION.md rename part1.py => old/part1.py (100%) rename part2.py => old/part2.py (100%) rename part3.py => old/part3.py (100%) rename part4.py => old/part4.py (100%) rename part5.py => old/part5.py (100%) rename project01-rubric.pdf => old/project01-rubric.pdf (100%) rename project01-sample-solutions.py => old/project01-sample-solutions.py (100%) delete mode 100644 project01 delete mode 100755 project01-marks-updated.pdf delete mode 100755 project01-marks.pdf create mode 100644 src/part1.py create mode 100644 src/part2.py create mode 100644 src/part3.py create mode 100644 src/part4.py create mode 100644 src/part5.py diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..bee8a64 --- /dev/null +++ b/.gitignore @@ -0,0 +1 @@ +__pycache__ diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..d41c0bd --- /dev/null +++ b/LICENSE @@ -0,0 +1,232 @@ +GNU GENERAL PUBLIC LICENSE +Version 3, 29 June 2007 + +Copyright © 2007 Free Software Foundation, Inc. + +Everyone is permitted to copy and distribute verbatim copies of this license document, but changing it is not allowed. + +Preamble + +The GNU General Public License is a free, copyleft license for software and other kinds of works. + +The licenses for most software and other practical works are designed to take away your freedom to share and change the works. By contrast, the GNU General Public License is intended to guarantee your freedom to share and change all versions of a program--to make sure it remains free software for all its users. We, the Free Software Foundation, use the GNU General Public License for most of our software; it applies also to any other work released this way by its authors. You can apply it to your programs, too. + +When we speak of free software, we are referring to freedom, not price. Our General Public Licenses are designed to make sure that you have the freedom to distribute copies of free software (and charge for them if you wish), that you receive source code or can get it if you want it, that you can change the software or use pieces of it in new free programs, and that you know you can do these things. + +To protect your rights, we need to prevent others from denying you these rights or asking you to surrender the rights. Therefore, you have certain responsibilities if you distribute copies of the software, or if you modify it: responsibilities to respect the freedom of others. + +For example, if you distribute copies of such a program, whether gratis or for a fee, you must pass on to the recipients the same freedoms that you received. You must make sure that they, too, receive or can get the source code. And you must show them these terms so they know their rights. + +Developers that use the GNU GPL protect your rights with two steps: (1) assert copyright on the software, and (2) offer you this License giving you legal permission to copy, distribute and/or modify it. + +For the developers' and authors' protection, the GPL clearly explains that there is no warranty for this free software. For both users' and authors' sake, the GPL requires that modified versions be marked as changed, so that their problems will not be attributed erroneously to authors of previous versions. + +Some devices are designed to deny users access to install or run modified versions of the software inside them, although the manufacturer can do so. This is fundamentally incompatible with the aim of protecting users' freedom to change the software. The systematic pattern of such abuse occurs in the area of products for individuals to use, which is precisely where it is most unacceptable. Therefore, we have designed this version of the GPL to prohibit the practice for those products. If such problems arise substantially in other domains, we stand ready to extend this provision to those domains in future versions of the GPL, as needed to protect the freedom of users. + +Finally, every program is threatened constantly by software patents. States should not allow patents to restrict development and use of software on general-purpose computers, but in those that do, we wish to avoid the special danger that patents applied to a free program could make it effectively proprietary. To prevent this, the GPL assures that patents cannot be used to render the program non-free. + +The precise terms and conditions for copying, distribution and modification follow. + +TERMS AND CONDITIONS + +0. Definitions. + +“This License” refers to version 3 of the GNU General Public License. + +“Copyright” also means copyright-like laws that apply to other kinds of works, such as semiconductor masks. + +“The Program” refers to any copyrightable work licensed under this License. Each licensee is addressed as “you”. “Licensees” and “recipients” may be individuals or organizations. + +To “modify” a work means to copy from or adapt all or part of the work in a fashion requiring copyright permission, other than the making of an exact copy. The resulting work is called a “modified version” of the earlier work or a work “based on” the earlier work. + +A “covered work” means either the unmodified Program or a work based on the Program. + +To “propagate” a work means to do anything with it that, without permission, would make you directly or secondarily liable for infringement under applicable copyright law, except executing it on a computer or modifying a private copy. Propagation includes copying, distribution (with or without modification), making available to the public, and in some countries other activities as well. + +To “convey” a work means any kind of propagation that enables other parties to make or receive copies. Mere interaction with a user through a computer network, with no transfer of a copy, is not conveying. + +An interactive user interface displays “Appropriate Legal Notices” to the extent that it includes a convenient and prominently visible feature that (1) displays an appropriate copyright notice, and (2) tells the user that there is no warranty for the work (except to the extent that warranties are provided), that licensees may convey the work under this License, and how to view a copy of this License. If the interface presents a list of user commands or options, such as a menu, a prominent item in the list meets this criterion. + +1. Source Code. +The “source code” for a work means the preferred form of the work for making modifications to it. “Object code” means any non-source form of a work. + +A “Standard Interface” means an interface that either is an official standard defined by a recognized standards body, or, in the case of interfaces specified for a particular programming language, one that is widely used among developers working in that language. + +The “System Libraries” of an executable work include anything, other than the work as a whole, that (a) is included in the normal form of packaging a Major Component, but which is not part of that Major Component, and (b) serves only to enable use of the work with that Major Component, or to implement a Standard Interface for which an implementation is available to the public in source code form. A “Major Component”, in this context, means a major essential component (kernel, window system, and so on) of the specific operating system (if any) on which the executable work runs, or a compiler used to produce the work, or an object code interpreter used to run it. + +The “Corresponding Source” for a work in object code form means all the source code needed to generate, install, and (for an executable work) run the object code and to modify the work, including scripts to control those activities. However, it does not include the work's System Libraries, or general-purpose tools or generally available free programs which are used unmodified in performing those activities but which are not part of the work. For example, Corresponding Source includes interface definition files associated with source files for the work, and the source code for shared libraries and dynamically linked subprograms that the work is specifically designed to require, such as by intimate data communication or control flow between those subprograms and other parts of the work. + +The Corresponding Source need not include anything that users can regenerate automatically from other parts of the Corresponding Source. + +The Corresponding Source for a work in source code form is that same work. + +2. Basic Permissions. +All rights granted under this License are granted for the term of copyright on the Program, and are irrevocable provided the stated conditions are met. This License explicitly affirms your unlimited permission to run the unmodified Program. The output from running a covered work is covered by this License only if the output, given its content, constitutes a covered work. This License acknowledges your rights of fair use or other equivalent, as provided by copyright law. + +You may make, run and propagate covered works that you do not convey, without conditions so long as your license otherwise remains in force. You may convey covered works to others for the sole purpose of having them make modifications exclusively for you, or provide you with facilities for running those works, provided that you comply with the terms of this License in conveying all material for which you do not control copyright. Those thus making or running the covered works for you must do so exclusively on your behalf, under your direction and control, on terms that prohibit them from making any copies of your copyrighted material outside their relationship with you. + +Conveying under any other circumstances is permitted solely under the conditions stated below. Sublicensing is not allowed; section 10 makes it unnecessary. + +3. Protecting Users' Legal Rights From Anti-Circumvention Law. +No covered work shall be deemed part of an effective technological measure under any applicable law fulfilling obligations under article 11 of the WIPO copyright treaty adopted on 20 December 1996, or similar laws prohibiting or restricting circumvention of such measures. + +When you convey a covered work, you waive any legal power to forbid circumvention of technological measures to the extent such circumvention is effected by exercising rights under this License with respect to the covered work, and you disclaim any intention to limit operation or modification of the work as a means of enforcing, against the work's users, your or third parties' legal rights to forbid circumvention of technological measures. + +4. Conveying Verbatim Copies. +You may convey verbatim copies of the Program's source code as you receive it, in any medium, provided that you conspicuously and appropriately publish on each copy an appropriate copyright notice; keep intact all notices stating that this License and any non-permissive terms added in accord with section 7 apply to the code; keep intact all notices of the absence of any warranty; and give all recipients a copy of this License along with the Program. + +You may charge any price or no price for each copy that you convey, and you may offer support or warranty protection for a fee. + +5. Conveying Modified Source Versions. +You may convey a work based on the Program, or the modifications to produce it from the Program, in the form of source code under the terms of section 4, provided that you also meet all of these conditions: + + a) The work must carry prominent notices stating that you modified it, and giving a relevant date. + + b) The work must carry prominent notices stating that it is released under this License and any conditions added under section 7. This requirement modifies the requirement in section 4 to “keep intact all notices”. + + c) You must license the entire work, as a whole, under this License to anyone who comes into possession of a copy. This License will therefore apply, along with any applicable section 7 additional terms, to the whole of the work, and all its parts, regardless of how they are packaged. This License gives no permission to license the work in any other way, but it does not invalidate such permission if you have separately received it. + + d) If the work has interactive user interfaces, each must display Appropriate Legal Notices; however, if the Program has interactive interfaces that do not display Appropriate Legal Notices, your work need not make them do so. + +A compilation of a covered work with other separate and independent works, which are not by their nature extensions of the covered work, and which are not combined with it such as to form a larger program, in or on a volume of a storage or distribution medium, is called an “aggregate” if the compilation and its resulting copyright are not used to limit the access or legal rights of the compilation's users beyond what the individual works permit. Inclusion of a covered work in an aggregate does not cause this License to apply to the other parts of the aggregate. + +6. Conveying Non-Source Forms. +You may convey a covered work in object code form under the terms of sections 4 and 5, provided that you also convey the machine-readable Corresponding Source under the terms of this License, in one of these ways: + + a) Convey the object code in, or embodied in, a physical product (including a physical distribution medium), accompanied by the Corresponding Source fixed on a durable physical medium customarily used for software interchange. + + b) Convey the object code in, or embodied in, a physical product (including a physical distribution medium), accompanied by a written offer, valid for at least three years and valid for as long as you offer spare parts or customer support for that product model, to give anyone who possesses the object code either (1) a copy of the Corresponding Source for all the software in the product that is covered by this License, on a durable physical medium customarily used for software interchange, for a price no more than your reasonable cost of physically performing this conveying of source, or (2) access to copy the Corresponding Source from a network server at no charge. + + c) Convey individual copies of the object code with a copy of the written offer to provide the Corresponding Source. This alternative is allowed only occasionally and noncommercially, and only if you received the object code with such an offer, in accord with subsection 6b. + + d) Convey the object code by offering access from a designated place (gratis or for a charge), and offer equivalent access to the Corresponding Source in the same way through the same place at no further charge. You need not require recipients to copy the Corresponding Source along with the object code. If the place to copy the object code is a network server, the Corresponding Source may be on a different server (operated by you or a third party) that supports equivalent copying facilities, provided you maintain clear directions next to the object code saying where to find the Corresponding Source. Regardless of what server hosts the Corresponding Source, you remain obligated to ensure that it is available for as long as needed to satisfy these requirements. + + e) Convey the object code using peer-to-peer transmission, provided you inform other peers where the object code and Corresponding Source of the work are being offered to the general public at no charge under subsection 6d. + +A separable portion of the object code, whose source code is excluded from the Corresponding Source as a System Library, need not be included in conveying the object code work. + +A “User Product” is either (1) a “consumer product”, which means any tangible personal property which is normally used for personal, family, or household purposes, or (2) anything designed or sold for incorporation into a dwelling. In determining whether a product is a consumer product, doubtful cases shall be resolved in favor of coverage. For a particular product received by a particular user, “normally used” refers to a typical or common use of that class of product, regardless of the status of the particular user or of the way in which the particular user actually uses, or expects or is expected to use, the product. A product is a consumer product regardless of whether the product has substantial commercial, industrial or non-consumer uses, unless such uses represent the only significant mode of use of the product. + +“Installation Information” for a User Product means any methods, procedures, authorization keys, or other information required to install and execute modified versions of a covered work in that User Product from a modified version of its Corresponding Source. The information must suffice to ensure that the continued functioning of the modified object code is in no case prevented or interfered with solely because modification has been made. + +If you convey an object code work under this section in, or with, or specifically for use in, a User Product, and the conveying occurs as part of a transaction in which the right of possession and use of the User Product is transferred to the recipient in perpetuity or for a fixed term (regardless of how the transaction is characterized), the Corresponding Source conveyed under this section must be accompanied by the Installation Information. But this requirement does not apply if neither you nor any third party retains the ability to install modified object code on the User Product (for example, the work has been installed in ROM). + +The requirement to provide Installation Information does not include a requirement to continue to provide support service, warranty, or updates for a work that has been modified or installed by the recipient, or for the User Product in which it has been modified or installed. Access to a network may be denied when the modification itself materially and adversely affects the operation of the network or violates the rules and protocols for communication across the network. + +Corresponding Source conveyed, and Installation Information provided, in accord with this section must be in a format that is publicly documented (and with an implementation available to the public in source code form), and must require no special password or key for unpacking, reading or copying. + +7. Additional Terms. +“Additional permissions” are terms that supplement the terms of this License by making exceptions from one or more of its conditions. Additional permissions that are applicable to the entire Program shall be treated as though they were included in this License, to the extent that they are valid under applicable law. If additional permissions apply only to part of the Program, that part may be used separately under those permissions, but the entire Program remains governed by this License without regard to the additional permissions. + +When you convey a copy of a covered work, you may at your option remove any additional permissions from that copy, or from any part of it. (Additional permissions may be written to require their own removal in certain cases when you modify the work.) You may place additional permissions on material, added by you to a covered work, for which you have or can give appropriate copyright permission. + +Notwithstanding any other provision of this License, for material you add to a covered work, you may (if authorized by the copyright holders of that material) supplement the terms of this License with terms: + + a) Disclaiming warranty or limiting liability differently from the terms of sections 15 and 16 of this License; or + + b) Requiring preservation of specified reasonable legal notices or author attributions in that material or in the Appropriate Legal Notices displayed by works containing it; or + + c) Prohibiting misrepresentation of the origin of that material, or requiring that modified versions of such material be marked in reasonable ways as different from the original version; or + + d) Limiting the use for publicity purposes of names of licensors or authors of the material; or + + e) Declining to grant rights under trademark law for use of some trade names, trademarks, or service marks; or + + f) Requiring indemnification of licensors and authors of that material by anyone who conveys the material (or modified versions of it) with contractual assumptions of liability to the recipient, for any liability that these contractual assumptions directly impose on those licensors and authors. + +All other non-permissive additional terms are considered “further restrictions” within the meaning of section 10. If the Program as you received it, or any part of it, contains a notice stating that it is governed by this License along with a term that is a further restriction, you may remove that term. If a license document contains a further restriction but permits relicensing or conveying under this License, you may add to a covered work material governed by the terms of that license document, provided that the further restriction does not survive such relicensing or conveying. + +If you add terms to a covered work in accord with this section, you must place, in the relevant source files, a statement of the additional terms that apply to those files, or a notice indicating where to find the applicable terms. + +Additional terms, permissive or non-permissive, may be stated in the form of a separately written license, or stated as exceptions; the above requirements apply either way. + +8. Termination. +You may not propagate or modify a covered work except as expressly provided under this License. Any attempt otherwise to propagate or modify it is void, and will automatically terminate your rights under this License (including any patent licenses granted under the third paragraph of section 11). + +However, if you cease all violation of this License, then your license from a particular copyright holder is reinstated (a) provisionally, unless and until the copyright holder explicitly and finally terminates your license, and (b) permanently, if the copyright holder fails to notify you of the violation by some reasonable means prior to 60 days after the cessation. + +Moreover, your license from a particular copyright holder is reinstated permanently if the copyright holder notifies you of the violation by some reasonable means, this is the first time you have received notice of violation of this License (for any work) from that copyright holder, and you cure the violation prior to 30 days after your receipt of the notice. + +Termination of your rights under this section does not terminate the licenses of parties who have received copies or rights from you under this License. If your rights have been terminated and not permanently reinstated, you do not qualify to receive new licenses for the same material under section 10. + +9. Acceptance Not Required for Having Copies. +You are not required to accept this License in order to receive or run a copy of the Program. Ancillary propagation of a covered work occurring solely as a consequence of using peer-to-peer transmission to receive a copy likewise does not require acceptance. However, nothing other than this License grants you permission to propagate or modify any covered work. These actions infringe copyright if you do not accept this License. Therefore, by modifying or propagating a covered work, you indicate your acceptance of this License to do so. + +10. Automatic Licensing of Downstream Recipients. +Each time you convey a covered work, the recipient automatically receives a license from the original licensors, to run, modify and propagate that work, subject to this License. You are not responsible for enforcing compliance by third parties with this License. + +An “entity transaction” is a transaction transferring control of an organization, or substantially all assets of one, or subdividing an organization, or merging organizations. If propagation of a covered work results from an entity transaction, each party to that transaction who receives a copy of the work also receives whatever licenses to the work the party's predecessor in interest had or could give under the previous paragraph, plus a right to possession of the Corresponding Source of the work from the predecessor in interest, if the predecessor has it or can get it with reasonable efforts. + +You may not impose any further restrictions on the exercise of the rights granted or affirmed under this License. For example, you may not impose a license fee, royalty, or other charge for exercise of rights granted under this License, and you may not initiate litigation (including a cross-claim or counterclaim in a lawsuit) alleging that any patent claim is infringed by making, using, selling, offering for sale, or importing the Program or any portion of it. + +11. Patents. +A “contributor” is a copyright holder who authorizes use under this License of the Program or a work on which the Program is based. The work thus licensed is called the contributor's “contributor version”. + +A contributor's “essential patent claims” are all patent claims owned or controlled by the contributor, whether already acquired or hereafter acquired, that would be infringed by some manner, permitted by this License, of making, using, or selling its contributor version, but do not include claims that would be infringed only as a consequence of further modification of the contributor version. For purposes of this definition, “control” includes the right to grant patent sublicenses in a manner consistent with the requirements of this License. + +Each contributor grants you a non-exclusive, worldwide, royalty-free patent license under the contributor's essential patent claims, to make, use, sell, offer for sale, import and otherwise run, modify and propagate the contents of its contributor version. + +In the following three paragraphs, a “patent license” is any express agreement or commitment, however denominated, not to enforce a patent (such as an express permission to practice a patent or covenant not to sue for patent infringement). To “grant” such a patent license to a party means to make such an agreement or commitment not to enforce a patent against the party. + +If you convey a covered work, knowingly relying on a patent license, and the Corresponding Source of the work is not available for anyone to copy, free of charge and under the terms of this License, through a publicly available network server or other readily accessible means, then you must either (1) cause the Corresponding Source to be so available, or (2) arrange to deprive yourself of the benefit of the patent license for this particular work, or (3) arrange, in a manner consistent with the requirements of this License, to extend the patent license to downstream recipients. “Knowingly relying” means you have actual knowledge that, but for the patent license, your conveying the covered work in a country, or your recipient's use of the covered work in a country, would infringe one or more identifiable patents in that country that you have reason to believe are valid. + +If, pursuant to or in connection with a single transaction or arrangement, you convey, or propagate by procuring conveyance of, a covered work, and grant a patent license to some of the parties receiving the covered work authorizing them to use, propagate, modify or convey a specific copy of the covered work, then the patent license you grant is automatically extended to all recipients of the covered work and works based on it. + +A patent license is “discriminatory” if it does not include within the scope of its coverage, prohibits the exercise of, or is conditioned on the non-exercise of one or more of the rights that are specifically granted under this License. You may not convey a covered work if you are a party to an arrangement with a third party that is in the business of distributing software, under which you make payment to the third party based on the extent of your activity of conveying the work, and under which the third party grants, to any of the parties who would receive the covered work from you, a discriminatory patent license (a) in connection with copies of the covered work conveyed by you (or copies made from those copies), or (b) primarily for and in connection with specific products or compilations that contain the covered work, unless you entered into that arrangement, or that patent license was granted, prior to 28 March 2007. + +Nothing in this License shall be construed as excluding or limiting any implied license or other defenses to infringement that may otherwise be available to you under applicable patent law. + +12. No Surrender of Others' Freedom. +If conditions are imposed on you (whether by court order, agreement or otherwise) that contradict the conditions of this License, they do not excuse you from the conditions of this License. If you cannot convey a covered work so as to satisfy simultaneously your obligations under this License and any other pertinent obligations, then as a consequence you may not convey it at all. For example, if you agree to terms that obligate you to collect a royalty for further conveying from those to whom you convey the Program, the only way you could satisfy both those terms and this License would be to refrain entirely from conveying the Program. + +13. Use with the GNU Affero General Public License. +Notwithstanding any other provision of this License, you have permission to link or combine any covered work with a work licensed under version 3 of the GNU Affero General Public License into a single combined work, and to convey the resulting work. The terms of this License will continue to apply to the part which is the covered work, but the special requirements of the GNU Affero General Public License, section 13, concerning interaction through a network will apply to the combination as such. + +14. Revised Versions of this License. +The Free Software Foundation may publish revised and/or new versions of the GNU General Public License from time to time. Such new versions will be similar in spirit to the present version, but may differ in detail to address new problems or concerns. + +Each version is given a distinguishing version number. If the Program specifies that a certain numbered version of the GNU General Public License “or any later version” applies to it, you have the option of following the terms and conditions either of that numbered version or of any later version published by the Free Software Foundation. If the Program does not specify a version number of the GNU General Public License, you may choose any version ever published by the Free Software Foundation. + +If the Program specifies that a proxy can decide which future versions of the GNU General Public License can be used, that proxy's public statement of acceptance of a version permanently authorizes you to choose that version for the Program. + +Later license versions may give you additional or different permissions. However, no additional obligations are imposed on any author or copyright holder as a result of your choosing to follow a later version. + +15. Disclaimer of Warranty. +THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM “AS IS” WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF ALL NECESSARY SERVICING, REPAIR OR CORRECTION. + +16. Limitation of Liability. +IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS), EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES. + +17. Interpretation of Sections 15 and 16. +If the disclaimer of warranty and limitation of liability provided above cannot be given local legal effect according to their terms, reviewing courts shall apply local law that most closely approximates an absolute waiver of all civil liability in connection with the Program, unless a warranty or assumption of liability accompanies a copy of the Program in return for a fee. + +END OF TERMS AND CONDITIONS + +How to Apply These Terms to Your New Programs + +If you develop a new program, and you want it to be of the greatest possible use to the public, the best way to achieve this is to make it free software which everyone can redistribute and change under these terms. + +To do so, attach the following notices to the program. It is safest to attach them to the start of each source file to most effectively state the exclusion of warranty; and each file should have at least the “copyright” line and a pointer to where the full notice is found. + + + Copyright (C) + + This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. + + This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. + + You should have received a copy of the GNU General Public License along with this program. If not, see . + +Also add information on how to contact you by electronic and paper mail. + +If the program does terminal interaction, make it output a short notice like this when it starts in an interactive mode: + + Copyright (C) + This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. + This is free software, and you are welcome to redistribute it under certain conditions; type `show c' for details. + +The hypothetical commands `show w' and `show c' should show the appropriate parts of the General Public License. Of course, your program's commands might be different; for a GUI interface, you would use an “about box”. + +You should also get your employer (if you work as a programmer) or school, if any, to sign a “copyright disclaimer” for the program, if necessary. For more information on this, and how to apply and follow the GNU GPL, see . + +The GNU General Public License does not permit incorporating your program into proprietary programs. If your program is a subroutine library, you may consider it more useful to permit linking proprietary applications with the library. If this is what you want to do, use the GNU Lesser General Public License instead of this License. But first, please read . diff --git a/README.md b/README.md new file mode 100644 index 0000000..d2292e5 --- /dev/null +++ b/README.md @@ -0,0 +1,7 @@ +# social-interest-predictor + +A small tool that predicts the interests of a user based on the friends of that +user in a social network. + +Based on an assignment for COMP10001, a subject at The University of Melbourne. +The assignment specification can be found [here](docs/SPECIFICATION.md). diff --git a/docs/SPECIFICATION.md b/docs/SPECIFICATION.md new file mode 100644 index 0000000..a6f134e --- /dev/null +++ b/docs/SPECIFICATION.md @@ -0,0 +1,201 @@ +# Assignment Specification + +Below is the assignment specification, in full, slightly edited for context and +appearence. + +## Introduction + +This project is all about "social networks", and the power of social +connections, both in terms of how impressively large a portion of the social +network can be accessed from a small number of seed users and their friends or +friends-of-friends, and how accurately the attributes of an individual can be +predicted from (partial) attributes of their friends/friends-of-friends. A +large part of the context for the project is in illustrating how it is that +companies such as Cambridge Analytica are able to influence the world so +impressively, from 1a small set of users of their products. + +Throughout the project, we will refer to individuals as "nodes" in the social +network, and (mutual) friendship connections as "edges" connecting those nodes. + +## Part 1 - Friends + +Write a function `get_friendly_dict()` that calculates the degree-one friends of +each individual in a social network. The function takes one argument: + +- `friend_list`, a list of reciproal friendship links between individuals. + +The function should return a dictionary of sets, containing the set of all +"degree-one" (immediate) friends for each individual in the social network. +Note that the specific order of the individuals in the dictionary, and also the +ordering of the friends in each set does not matter. + +The structure of `friend_list` is as follows: each element is a 2-tuple of +strings, representing a pairing of names of individuals in the social network +who are friends. Note that as friendship links are reciprocal, the 2-tuple +('kim', 'sandy') indicates that 'kim' is a friend of 'sandy', and also that +'sandy' is a friend of 'kim'. + +Example function calls are: + + >>> get_friendly_dict([('kim', 'sandy'), ('alex', 'sandy'), ('kim', 'alex'), ('kim', 'glenn')]) + + {'kim': {'glenn', 'sandy', 'alex'}, 'sandy': {'kim', 'alex'}, 'alex': {'sandy', 'kim'}, 'glenn': {'kim'}} + + >>> get_friendly_dict([('kim', 'sandy'), ('sandy', 'alex'), ('alex', 'glenn'), ('glenn', 'kim')]) + + {'kim': {'glenn', 'sandy'}, 'sandy': {'kim', 'alex'}, 'alex': {'glenn', 'sandy'}, 'glenn': {'kim', 'alex'}} + +## Part 2 - Social Network Besties + +Write a function `friend_besties()` that calculates the "besties" (i.e., +degree-one friends) of a given individual in a social network. The function +takes two arguments: + +- `individual`, an individual in the social network, in the form of a string ID; +- `bestie_dict`, a dictionary of sets of friends of each individual in the + social network. + +The function should return a sorted list, made up of all "degree-one" friends +for the individual. In the instance that the individual does not have any +friends in the social network, the function should return an empty list. + +Example function calls are: + +```python +>>> friend_besties('kim', {'kim': {'sandy', 'alex', 'glenn'}, 'sandy': {'kim', 'alex'}, 'alex': {'kim', 'sandy'}, 'glenn': {'kim'}}) + +['alex', 'glenn', 'sandy'] + +>>> friend_besties('ali', {'kim': {'sandy', 'alex', 'glenn'}, 'sandy': {'kim', 'alex'}, 'alex': {'kim', 'sandy'}, 'glenn': {'kim'}}) + +[] +``` + +## Part 3 - Social Network Second Besties + +Write a function `friend_second_besties()` that calculates the "second-besties" +(i.e. degree-two friends) of a given individual in a social network. The +function takes two arguments: + +- `individual`, an individual in the social network, in the form of a string ID; +- `bestie_dict`, a dictionary of sets of friends of each individual in the + social network. + +The function should return a sorted list, made up of all "degree-two" friends +for the individual. In the instance that the individual does not have any +degree-two friends in the social network, the function should return an +empty list. + +Example function calls are: + +```python +>>> friend_second_besties('glenn', {'kim': {'sandy', 'alex', 'glenn'}, 'sandy': {'kim', 'alex'}, 'alex': {'kim', 'sandy'}, 'glenn': {'kim'}}) + +['alex', 'sandy'] + +>>> friend_second_besties('kim', {'kim': {'sandy', 'alex', 'glenn'}, 'sandy': {'kim', 'alex'}, 'alex': {'kim', 'sandy'}, 'glenn': {'kim'}}) + +[] +``` + +## Part 4 - Network Coverage + +Write a function `besties_coverage()` that computes the "coverage" of nodes +within a social network that are connected via predefined relationships to a +given list of individuals (i.e., the proportion of connected individuals, to the +total size of the network, which is the total number of people in the social +network). The function takes three arguments: + +- `individuals`, a list of individuals, each in the form of a string ID; +- `bestie_dict`, a dictionary of sets of friends of each individual in the + social network; +- `relationship_list`, a list of functions defining relationships in the + social network, selected from friend_besties and friend_second_besties. + +The function should return a float, corresponding to the proportion of the +total number of individuals who are either a member of individuals or connected +via one of the relationships in `relationship_list`. + +Example calls to the function are: + +```python +>>> besties_coverage(['glenn'], {'kim': {'sandy', 'alex', 'glenn'}, 'sandy': {'kim', 'alex'}, 'alex': {'kim', 'sandy'}, 'glenn': {'kim'}}, []) + +0.25 + +>>> besties_coverage(['glenn'], {'kim': {'sandy', 'alex', 'glenn'}, 'sandy': {'kim', 'alex'}, 'alex': {'kim', 'sandy'}, 'glenn': {'kim'}}, [friend_besties]) + +0.5 + +>>> besties_coverage(['glenn'], {'kim': {'sandy', 'alex', 'glenn'}, 'sandy': {'kim', 'alex'}, 'alex': {'kim', 'sandy'}, 'glenn': {'kim'}}, [friend_second_besties]) + +0.75 + +>>> besties_coverage(['glenn'], {'kim': {'sandy', 'alex', 'glenn'}, 'sandy': {'kim', 'alex'}, 'alex': {'kim', 'sandy'}, 'glenn': {'kim'}}, [friend_besties, friend_second_besties]) + +1.0 +``` + +## Part 5 - Social Network Attribute Prediction + +The final question is for bonus marks, and is deliberately quite a bit harder +than the four basic questions (and the number of marks on offer is deliberately +not commensurate with the amount of effort required — bonus marks aren't meant +to be easy to get!). Only attempt this is you have completed the earlier +questions, and are up for a challenge! + +The context for the bonus question is the prediction of attributes of a user +based on the attributes of their social network, and the observation that a +user's friends often have very similar interests and background to that user +(what is formally called homophily). + +Write a function `friendly_prediction()` which takes four arguments: + +- `unknown_user`, a string indicating the identity of the user you are to + predict attributes for; +- `features`, a set of features you are to predict attributes for; +- `bestie_dict`, a dictionary of sets of the besties for each user in the + dataset, following the same format as the earlier questions in the project; +- `feat_dict`, a dictionary containing the known attributes for each user in the + training data, across a range of features; note that there is no guarantee + that the attribute for a given feature will be known for every training user. + +Your function should return a dictionary of features (based on features), with +a predicted list of values for each. + +Your function should make its predictions as follows: + +- First, identify the set of besties for the given user, and for each feature + of interest, determine the most-commonly attested attribute for that feature + among the besties. In the case of a tie, the prediction should be a sorted + list of attributes. +- Second, for any features where no bestie has an attribute for that feature + (meaning no prediction was possible in the first step), repeat the process + using the second-besties, once again in the form of a sorted list + of attributes. +- In the case that no bestie or second-bestie has that attribute, return an + empty list. + +Note that all attributes will take the form of strings, with the empty string +representing the fact that the user explicitly has no value for that feature +(e.g., if the user did not go to university, the value for university would be +`''`), and the lack of an attribute for a given feature indicating that the +attribute is unknown. Note further that even if the attribute for `unknown_user` +is available in `feat_dict`, you should predict based on the attributes of +besties and second besties. + +Example calls to the function are: + +```python +>>> friendly_prediction('glenn', {'favourite author', 'university'}, {'kim': {'sandy', 'alex', 'glenn'}, 'sandy': {'kim', 'alex'}, 'alex': {'kim', 'sandy'}, 'glenn': {'kim'}}, {'glenn': {'university': ''}, 'kim': {'favourite author': 'AA Milne'}, 'sandy': {'favourite author': 'JRR Tolkien', "university": "University of Melbourne"}, 'alex': {'favourite author': 'AA Milne', 'university': 'Monash University'}}) + +{'university': ['Monash University', 'University of Melbourne'], 'favourite author': ['AA Milne']} + +>>> friendly_prediction('kim', {'university'}, {'kim': {'sandy', 'alex', 'glenn'}, 'sandy': {'kim', 'alex'}, 'alex': {'kim', 'sandy'}, 'glenn': {'kim'}}, {'glenn': {'university': ''}, 'kim': {'favourite author': 'AA Milne'}, 'sandy': {'favourite author': 'JRR Tolkien', "university": "University of Melbourne"}, 'alex': {'favourite author': 'AA Milne', 'university': 'Monash University'}}) + +{'university': ['', 'Monash University', 'University of Melbourne']} + +>>> friendly_prediction('kim', {'birthplace'}, {'kim': {'sandy', 'alex', 'glenn'}, 'sandy': {'kim', 'alex'}, 'alex': {'kim', 'sandy'}, 'glenn': {'kim'}}, {'glenn': {'university': ''}, 'kim': {'favourite author': 'AA Milne'}, 'sandy': {'favourite author': 'JRR Tolkien', "university": "University of Melbourne"}, 'alex': {'favourite author': 'AA Milne', 'university': 'Monash University'}}) + +{'birthplace': []} +``` diff --git a/part1.py b/old/part1.py similarity index 100% rename from part1.py rename to old/part1.py diff --git a/part2.py b/old/part2.py similarity index 100% rename from part2.py rename to old/part2.py diff --git a/part3.py b/old/part3.py similarity index 100% rename from part3.py rename to old/part3.py diff --git a/part4.py b/old/part4.py similarity index 100% rename from part4.py rename to old/part4.py diff --git a/part5.py b/old/part5.py similarity index 100% rename from part5.py rename to old/part5.py diff --git a/project01-rubric.pdf b/old/project01-rubric.pdf similarity index 100% rename from project01-rubric.pdf rename to old/project01-rubric.pdf diff --git a/project01-sample-solutions.py b/old/project01-sample-solutions.py similarity index 100% rename from project01-sample-solutions.py rename to old/project01-sample-solutions.py diff --git a/project01 b/project01 deleted file mode 100644 index f5c5314..0000000 --- a/project01 +++ /dev/null @@ -1,214 +0,0 @@ -Project 1 is all about "social networks", and the power of social connections, -both in terms of how impressively large a portion of the social network can be -accessed from a small number of seed users and their friends or -friends-of-friends, and how accurately the attributes of an individual can be -predicted from (partial) attributes of their friends/friends-of-friends. A -large part of the context for the project is in illustrating how it is that -companies such as Cambridge Analytica are able to influence the world so -impressively, from a small set of users of their products. - -Throughout the project, we will refer to individuals as "nodes" in the social -network, and (mutual) friendship connections as "edges" connecting those nodes. -See the lecture slides for more details. - --------------------------------------------------------------------------------- -Part 1 - Friends - -Write a function get_friendly_dict() that calculates the degree-one friends of -each individual in a social network. The function takes one argument: - -- friend_list, a list of reciproal friendship links between individuals. - -The function should return a dictionary of sets, containing the set of all -"degree-one" (= immediate) friends for each individual in the social network. -Note that the specific order of the individuals in the dictionary, and also the -ordering of the friends in each set does not matter. - -The structure of friend_list is as follows: each element is a 2-tuple of -strings, representing a pairing of names of individuals in the social network -who are friends. Note that as friendship links are reciprocal, the 2-tuple -('kim', 'sandy'), e.g., indicates that 'kim' is a friend of 'sandy', and also -that 'sandy' is a friend of 'kim'. - -Example function calls are: - - >>> get_friendly_dict([('kim', 'sandy'), ('alex', 'sandy'), - ('kim', 'alex'), ('kim', 'glenn')]) - {'kim': {'glenn', 'sandy', 'alex'}, 'sandy': {'kim', 'alex'}, - 'alex': {'sandy', 'kim'}, 'glenn': {'kim'}} - - >>> get_friendly_dict([('kim', 'sandy'), ('sandy', 'alex'), - ('alex', 'glenn'), ('glenn', 'kim')]) - {'kim': {'glenn', 'sandy'}, 'sandy': {'kim', 'alex'}, - 'alex': {'glenn', 'sandy'}, 'glenn': {'kim', 'alex'}} - --------------------------------------------------------------------------------- -Part 2 - Social Network Besties - -Write a function friend_besties() that calculates the "besties" (i.e. -degree-one friends) of a given individual in a social network. The function -takes two arguments: - -- individual, an individual in the social network, in the form of a string ID -- bestie_dict, a dictionary of sets of friends of each individual in the - social network (as per the first question of the Project) - -The function should return a sorted list, made up of all "degree-one" friends -for the individual. In the instance that the individual does not have any -friends in the social network, the function should return an empty list. - -Example function calls are: - - >>> friend_besties('kim', {'kim': {'sandy', 'alex', 'glenn'}, - 'sandy': {'kim', 'alex'}, 'alex': {'kim', 'sandy'}, 'glenn': {'kim'}}) - ['alex', 'glenn', 'sandy'] - - >>> friend_besties('ali', {'kim': {'sandy', 'alex', 'glenn'}, - 'sandy': {'kim', 'alex'}, 'alex': {'kim', 'sandy'}, 'glenn': {'kim'}}) - [] - --------------------------------------------------------------------------------- -Part 3 - Social Network Second Besties - -Write a function friend_second_besties() that calculates the "second-besties" -(i.e. degree-two friends) of a given individual in a social network. The -function takes two arguments: - -- individual, an individual in the social network, in the form of a string ID -- bestie_dict, a dictionary of sets of friends of each individual in the - social network (as per the first question of the Project) - -The function should return a sorted list, made up of all "degree-two" friends -for the individual. In the instance that the individual does not have any -degree-two friends in the social network, the function should return an -empty list. - -Example function calls are: - - >>> friend_second_besties('glenn', {'kim': {'sandy', 'alex', 'glenn'}, - 'sandy': {'kim', 'alex'}, 'alex': {'kim', 'sandy'}, 'glenn': {'kim'}}) - ['alex', 'sandy'] - - >>> friend_second_besties('kim', {'kim': {'sandy', 'alex', 'glenn'}, - 'sandy': {'kim', 'alex'}, 'alex': {'kim', 'sandy'}, 'glenn': {'kim'}}) - [] - --------------------------------------------------------------------------------- -Part 4 - Network Coverage - -Write a function besties_coverage() that computes the "coverage" of nodes -within a social network that are connected via predefined relationships to a -given list of individuals, i.e. the proportion of connected individuals, to the -total size of the network (= the number of people in the social network). The -function takes three arguments: - -- individuals, a list of individuals, each in the form of a string ID -- bestie_dict, a dictionary of sets of friends of each individual in the - social network (as per the first question of the Project) -- relationship_list, a list of functions defining relationships in the - social network, selected from friend_besties and friend_second_besties. - -The function should return a float, corresponding to the proportion of the -total number of individuals who are either a member of individuals or connected -via one of the relationships in relationship_list. - -Example calls to the function are: - - >>> besties_coverage(['glenn'], {'kim': {'sandy', 'alex', 'glenn'}, - 'sandy': {'kim', 'alex'}, 'alex': {'kim', 'sandy'}, 'glenn': {'kim'}}, - []) - 0.25 - - >>> besties_coverage(['glenn'], {'kim': {'sandy', 'alex', 'glenn'}, - 'sandy': {'kim', 'alex'}, 'alex': {'kim', 'sandy'}, 'glenn': {'kim'}}, - [friend_besties]) - 0.5 - - >>> besties_coverage(['glenn'], {'kim': {'sandy', 'alex', 'glenn'}, - 'sandy': {'kim', 'alex'}, 'alex': {'kim', 'sandy'}, 'glenn': {'kim'}}, - [friend_second_besties]) - 0.75 - - >>> besties_coverage(['glenn'], {'kim': {'sandy', 'alex', 'glenn'}, - 'sandy': {'kim', 'alex'}, 'alex': {'kim', 'sandy'}, 'glenn': {'kim'}}, - [friend_besties, friend_second_besties]) - 1.0 - --------------------------------------------------------------------------------- -Part 5 - Social Network Attribute Prediction - -The final question is for bonus marks, and is deliberately quite a bit harder -than the four basic questions (and the number of marks on offer is deliberately -not commensurate with the amount of effort required — bonus marks aren't meant -to be easy to get!). Only attempt this is you have completed the earlier -questions, and are up for a challenge! - -The context for the bonus question is the prediction of attributes of a user -based on the attributes of their social network, and the observation that a -user's friends often have very similar interests and background to that user -(what is formally called homophily). - -Write a function friendly_prediction() which takes four arguments: - -- unknown_user, a string indicating the identity of the user you are to predict - attributes for -- features, a set of features you are to predict attributes for -- bestie_dict, a dictionary of sets of the besties for each user in the - dataset, following the same format as the earlier questions in the project -- feat_dict, a dictionary containing the known attributes for each user in the - training data, across a range of features; note that there is no guarantee - that the attribute for a given feature will be known for every training user - -Your function should return a dictionary of features (based on features), with -a predicted list of values for each. - -Your function should make its predictions as follows: - -- first, identify the set of besties for the given user, and for each feature - of interest, determine the most-commonly attested attribute for that feature - among the besties; in the case of a tie, the prediction should be a sorted - list of attributes - -- second, for any features where no bestie has an attribute for that feature - (meaning no prediction was possible in the first step), repeat the process - using the second-besties, once again in the form of a sorted list - of attributes - -- in the case that no bestie or second-bestie has that attribute, return an - empty list. - -Note that all attributes will take the form of strings, with the empty string -representing the fact that the user explicitly has no value for that feature -(e.g. if the user did not go to university, the value for university would be -''), and the lack of an attribute for a given feature indicating that the -attribute is unknown. Note further that even if the attribute for unknown_user -is available in feat_dict, you should predict based on the attributes of -besties and second besties. - -Example calls to the function are: - - >>> friendly_prediction('glenn', {'favourite author', 'university'}, - {'kim': {'sandy', 'alex', 'glenn'}, 'sandy': {'kim', 'alex'}, - 'alex': {'kim', 'sandy'}, 'glenn': {'kim'}}, {'glenn': - {'university': ''}, 'kim': {'favourite author': 'AA Milne'}, 'sandy': - {'favourite author': 'JRR Tolkien', - "university": "University of Melbourne"}, 'alex': {'favourite author': - 'AA Milne', 'university': 'Monash University'}}) - {'university': ['Monash University', 'University of Melbourne'], - 'favourite author': ['AA Milne']} - - >>> friendly_prediction('kim', {'university'}, {'kim': - {'sandy', 'alex', 'glenn'}, 'sandy': {'kim', 'alex'}, 'alex': - {'kim', 'sandy'}, 'glenn': {'kim'}}, {'glenn': {'university': ''}, - 'kim': {'favourite author': 'AA Milne'}, 'sandy': {'favourite author': - 'JRR Tolkien', "university": "University of Melbourne"}, 'alex': - {'favourite author': 'AA Milne', 'university': 'Monash University'}}) - {'university': ['', 'Monash University', 'University of Melbourne']} - - >>> friendly_prediction('kim', {'birthplace'}, {'kim': - {'sandy', 'alex', 'glenn'}, 'sandy': {'kim', 'alex'}, 'alex': - {'kim', 'sandy'}, 'glenn': {'kim'}}, {'glenn': {'university': ''}, - 'kim': {'favourite author': 'AA Milne'}, 'sandy': {'favourite author': - 'JRR Tolkien', "university": "University of Melbourne"}, 'alex': - {'favourite author': 'AA Milne', 'university': 'Monash University'}}) - {'birthplace': []} diff --git a/project01-marks-updated.pdf b/project01-marks-updated.pdf deleted file mode 100755 index 42ed154c73e9d684c7f8000e7e149b46e7f9a528..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 54570 zcma&NV~i+3x2D_f-fi2qZQHhO+uCj0wr$(CZJV>tnfa2NoJsD~uT}qQp(;<-yNX0! zSd@l=mIabzZfST8k_n$4-_FnylA9ZnPTIuQ%-I~Dk)E9m|GyU`ov4Mivxy@e za6Eg<#o~duGve_*3E>3uQ`pVw*(!`cQyY!>{Ws`#yRVni{efQuS`7QN zi^F3%e1yFgI$3yKK^q2IFRZVI%A^NJC9PlYJ3`^`h&f4EA*%dzUuQ)YFYR|-tJYg2ikEQ4g+xnQ0a&a#=u8YpT#R*zUdxw60swYTgw5gfn(F$S63UU007S?p=k4 z-(pwKdYj)iH+tw`n9b+YeZjBcNk)>a`BegdzJ(EFraVapiFT(-9w-+?UopDV#QjJ+QgCRnvmsPOl zfRDAAzH`fy(bZZ*@6wky@s|Mz2{#BZ_6%%Wy3xK;&*3pnTmGJU=Lo8hY`78N-NjE& zzKcT4jV>;~Y81pW!D7&tL@-IgiarL`WzJ}>vrHCx#PO&`?QL|+CwhjFM;mvPxfGu$ zou4+L`6FAW=rLjr|Db-tqBGzRHpB!FfYhzU-*J$+ux3w$j*Z|K*`wz2!s&O1&ug zLAN(f*_0Lt|Pz#32~^=&J_hUkG?u~EZ>7-XZJ;# z#bKPvGFtE zw>ill1IXC~@>vsvQXKmEKeGf>P(*79{_(P?#}JO6dK4XkB;)1We+#H0wJ9~?oa3p_ zD=nMcGa3fJRl{LSQZZvV8yf~G0p&`_I|Z99qsJ9pO{nvkYjyt5=~Q2;!`LaW$B5LW zvVkH84`#6ERee|;)WRGySMA76AY42SazYSf{`oN@3&~P>WM;SK646CP623whi!`o4 zc*Jt0@xKEsOYG>q1^TIYq$2?mF{91DRUkZOwbn>qK=X}$Zv5x0>J9sXR&i!arl=!&#D-l)0iGi?xwM_7h zwn+B$DpdtpTqw6q%H5wjBq?$A;gnxk%9CIrePL`d>3b8#&+AHnQgW(?K#u!m?-DRP za5n62=#{b?mt3syuL*~zbOksxLKBz%Uh(&4tDSHAOGMBCKRxZNE;jkn`F1>}YZr4| zm|V{4gOov-;h$#8689>`vHmmZe_^hHZW$o7V9Q1HWY%o2g_%L9>KO|&bFLY2v(c?O zDTJqfCahRFWZvrVNsFpfL>^!O15tzxQgI53oPkrVj{9H!7xEoLN>F2x zND#zO7HwU2EVsSej5TQO$MHv~@m26p@t)>T3ItIMe zp9r(--Ga;RBu{!SjPES|2{#Gn8_$bLCCNtV@!t3F&T~zi&|}iK88gh6x~?pzw-`hG9+!9uYlL$;>Bv z+${QFJ!51C-l`#3_iyO}9P1g^$c%@vHMQ`&g%v3+GRV*3!6_pW3) z#O|NqC1#!+aHug zEZ#IwENgG;O4sGG3gqQY+y<|^5n@pWQmaJK&s!-Vi;nlW2DDk|DXSa|UI^-dJ|E$l zwbU?9DSyEngBcEp0sC>Lv`h0B;XDT?B>c1n#FkHK7-~9(eJ&kvzCw$q@`#(B2V_TW z)O3GKK-vH^3S^TQ9o^+VXc;!grimwq1jj&MbZoMwJZK-aZg1kOs2d@-L_zzfb#odo zEIyUQGbtBXjU)=xn6vG;b-y^m(R3_wkin=s{&RTtY0!$!nSNw$u~#8!(1hmaqi4@< zJo@LZXCf#j_t6&1r=7`sbv1t?adH=)ZjbQxTHWW#$d4!KUoKiD;@5oz+Dxovyu-l! zYV7EgAMnC+*3s&Q6M3C9*k?XBMLq3+>{T=A!)7g}s;*S`$LUPjYGbDc*=?HXJnKrI zH%rzXi%UL&LD-92N_om|SMAQm#G)$U>Zj`OyHMs{$q)LQj+;(=n>Cqbz3p9}qUDC> zQtJ-ez*1N;vLs7E>Pv<3w1WK++MfuDVsY47-JQzzE@xd@J@f-xV4u}$ULT4dpqvrd z+W$-X+5boS8SojH*f{>fpp5t|9Q2I;+5KbG|Cso!?9A-{uW%ae4yvqty}=3uM7TZe z?+lB-y}eDyG1b>cA2c4J=QQi}>sNEP)wG)D zv;Fq6=Cr+rr;(K_GJv7CfM@`)D%8L5Ed<105x_*pNQwX-00J2S04U^seO)Gx9R1CX zi?* z@>O?U41f-xKPnKc=s_bD(UuQSp6m>{b9S#CpfUV}XnG)`eq3FB zvA)`PK+hN3J-)&}dyT--S@~nV*dq`S6Pr80(EM2X^6=;}!hhWdaQblpoL&6uOJMnT zaiD*psvgn&;qJ_w00e;qeoPFM}ALmc|02(3?yPyEMKk(Wg$kAUn*Cq_;cdKY#Ke#fuKFF|=TzG)D z%g0(SE9OCL1pBnx-u>QKb@}OmfhFmn*V(aOM@k9;Z-Ae#fdl|w2?l(AadB~Id|Fya zh%Yl-V6U@W-X9`WBv=6e;$KU&ZaKf!tLMMK+I}DdFmGnGJRlkE`T(oF;Xm-?kRbVV zg1=@Rzp(GW^&@Y>_&uDwU_nVyp20ec8<|m#7bCh!;dCdU7c4ZuI zbmtd=IQcoYzt_vc>xIjC5N?7@8G2_u0CzunuH=d^7r?H}{ssIqe)T7Go#%Aj{dx9v zfIxq~pMwR&00VxHg(9JkB77t8=a;^&feKlkW;-hE;Ro(h*Mdcc0bX!%UwYoo8bxb` z0e=L|RX78Ed=oM7$pOUj<_G|uq5=RQ27rH8`+)!hZROj@9#T<$@zMoyaBpU=f4 zU1M07iR55VDG5tYfX+N%=|+8Ud&Xfj#^=cS4a#2Z$Z;OgV12lJ4na&Eh37bA!uX=s z@p&X!jfqk%)^dWWpUzD!nF3hIB8(9C))ll&OHI&W1}2f%cf4X?~Zo z1(K5W)GzdDSw{DHVUgiLJ9~p%T%*-n1pA07i~@ff)2UQY66R7V8tS z%ni@$+p0WbwhocrKDzKUP5QGS`8I8RHW{{%T%z>3jEk~hB^u7Ab}lz%Z0C`A{KPCr z3MoS?R&&IhHyz1N$Yww=P>zhSx-Jw`ee>|!>Blq7Nd>jd1v%{s8bjjC-9{BD1sU8! zgTuC->jLkG6`R-2nAYc1*PX-l_YRN8549*mKf{TivD{$1dbV369Pijskw+TmY0o_O ztkp_J%R@SHL2P!UI(AeWvS2w-bG0bsKMXL9rF4JZ3;>CLyaraQ8%qj-poT-w!0XbQ zZqD;yHctzqvf;oG(HZsRZeCp-OYGjwnRT*_@DjP8E2Ur>LR0%HGLS?zllh?KN76K5 z)-Ij1nh!jlq69N$dk`Qrbi{Xep&eS+Z5Oy4e|6u*B|!N_r`q8OC>j(Bv8D*lV`boN zP>TfLR05;sd>bf~-C=3{_n|FDc7w;Q=oC<{HR^dRqDgGp6y5lEZ%y9#cXVg*%UI69 zJNhX9s3gAKnBYJB6y}BWtZC_q2)ljnA9mANJ&HY1=6Bez&!@bqP0A8!Nkmd3nTbVG zLo3I+*aov%hiu-gG^yY-FMQvJl=+lcP=va2baHW90P7M!(9PCPJ*QzrH>fPiO2Rd4 zAezz7_Ba*U7!RZ^`zrE4FAxkfJED5_7p2_Z6*rj@#<4+)mU&yikke?~><>Vh-33k& z4!9E_F}HVkflt8%pwWAP!Ou!EUm8Tq#3?+RT}rl&$t1YVHP~NEe&?TqpiXx>(3$D_ z?iRdT3V#fuvKY~3FY|nmIL#>qTQYG?1Byawu7?^^GkxT8~czjhl^1@t5D_(TGG!fgG zybpo1PEv8$uvoD}Eq$p_(Dl^@2)O)(ekPoeXRvm{P!TTG6k+yMmI zR9xy}uIsO|9(&N8BBgU#!d|#@ItJ1S3x4;OGmOB2TxY{&Wtp?~f3u2Jiy}BDgn%8T zw&H?>19|PsuMSu+}W0 z@>{7R>rJ_sVM3$55n-02>9ocVhTf7VlT{&KkwR$ZK$VDPcwfQ?w1@?nd&f)>4QW1i z`pbr>3OsDaE7yo5vh_!ejJ!vZ;lWGR*AsI6J~pF?K*hn=kF-(aC^xyeCW*I!3(fu6 zQ=b8k0(xJW_gP1ywh_mh;Zd+3bBH)z6Rs4=ZwN#5^F77&>DfokN8=(0PX*Gc#6Rib zmA(fK3}Ts#YAIKTVb|myKKzhpph45Hf4#TO5<_n-$0N)g#gb`uWdPyz{Anmd87L*E zZ9UNX5CYDRD6Of-b})O|@S&V;E$0r|srtj-p}`=UvS=}_S)S8@>w9AnY>*vHPvMDJ zN?IbtxqS?(C(EQEKrJy@oo~J$lfgwnz?LSAX#@}X43CF}zDS-vvHvre087&OvINMO z?*O_C?+Vkqk)^s z%N*cMD4cE5)n_D4{YyMNzMpmTG=;T1H~Y5jFDH`nEsb?5yQAu>??uU}ofWA&RTP2v zE}Z^v0z7*2nhaj+T~0=y4ROIsKZ}lDJZ${X&}HMW``nntB1oViLL(=um{{SFPUp*K zB9S4RXY5jTB1-MW*kcuTlu_yCt`z?m3rW_jDK`vtBoLlrbAV)AV=?jf47R$D|$ zzq1_e#3hjC%|IwkU zlSIK_sp|897moH=DTB^F9Nw&YDP8dVj`mbN2u~I#eM(NTP`El_LD~$MxBaljm_%9G zbcx9s6>R$7p13^{1?>QLaqQTNv+mLu1-%G_KNvqN6UmO&e057VZyfc~qL18SO-55& zuHinTwXZx!`c=kNU=D=wYqi%lXHNt>JgH)1p;_e0`n0T^c3oz*IsBv4C->`{xvQzR z!N~NV4uV#$5k7z`ik(GjC@pl*T6xd{&Y3s0v!6(5p$-o56ln!LK&S@c>d=cubZx!f zrsRwi+V2qJ9%W`2w|#K4WH+o+8O}xVFQz0kmr=Ed7S}l0 zS8HYblXg{-vBhzW9=BQ{Ug|yaRcWF+phx<~TZ8YUmZ&}8>5S3aKF08f?hZUS_@7L) zSl@mnV#<7dd1z)>=``=fQ4|FBk4ltqyhOE$ord&!IJ;Qu0I8G)3W~@1^7mP_jUW_a z7|k+rXz1dBAg&oap5>01tV-bPx^MUtpPN_y<;nS|;u<>@%)T}Q^l=}*3Fg-~*nHcb zZ%T2zctz5&G}5rh>-e}jlGn({V1q}!(3;{V%1#Di57gRW_hAr4yw-+{jFfBmh7hRE zhV1sl&ajnx*YW1Lm-u`tuLa(B>hS#T2@h5pil$(qaaYxcI=Z2M4J)joj zh?N04)Mq?p5eE!%&pyd0G$H3Vb?NGTI~PG)MBWy_S)bh=mfT^6SCFx9l-@VelWp}W zl1@374J+b`v_UgXHyB-5m6=iO#(o|tY~D$iWD-{E15VC@Ly z8<>!v8|}n{FqBve?^<{~gO~1~)x3;bR9lUv^RaWdQPymv_fT6zMqzYLZ#;nl;)t*2 zvoV9OC8^T2+=wd|qpTKNC9fnU`>_FiA3D2Uv!*+tIOhYMJ)6Aiq6`n{kf14EOpL_T<)@(9EN^?+?du-V`L1EERS-Bary96)$X5JTB*zWo!=<%EwhAY}Q z18f}B8Xi#U$B5EU=u>dBfdBi4&QDiHB>z0I^x0BRh7Lwu&mvY#^g-1{TFW(Hc>Fj( zMf?2JU0%%d!#Z2kf=o?&oXuD}CF4uNfxZ(>53cyyl%kcFO7_4)oTbOT#k9Qt3_oe3 z=||FNu6LQsdTwmQkuozS4DJ^rQ}ewO8YX!diHXzW6-j%yywnC6jOxm=p;pif3_Pj8 zeg zc-^7#C19F%?hF>zf&4~sZty{W!G*^_O+5aaVn9hso0u-lxb=R>%BJ;`THI@Wi%-qX zR7BX9m!U`Sb?75AiKChsv>eSz5k%s|Cer16b6;|b!p(4kdJG8^dWE_87)o6_q7V?s zO)F0MQ~k7LC6jJI(YTb_&~K|-0>Q=`2kQ!MEW!5v$aLEx zuE*0ZD`)<2nZwchTjkv$$h%c_jjA7+MU_D*fHQ9k74`(<*2`uv-5#Ij@=kg==}LDD z?Pz8~APr7%($l6V!DQ)EQ~EcEe=qS%e`!ZNj{Mvqe*HsS1lW$nLPE-A`qE1Deho~? z*!(53JpypIT5iy%yp0spVWMF50$293gx!a@pwK#8LGF+p=mIgb!{{Ej)K9*4OFM4N zuR}^*J+kof*&=x|1XBgIr5+Ohi%|jO*D=nB$9CH;jKfkEDZe*P8tqz?82*(z|Ku$u zUIp#hm{d@1}ds`ov!%N23X2OlBZ^=El6jMq>OmZvi#IK1$|! zQ~+3*c3{F*l?1QyY4})Bd%9LzDuR-eL5$jxV^9~DF-7qhQR!tYEu}kaRV!sqfW3p7 z=rmkdyx<6;;bwl(XFN^NL9>WUQSzZ8VioVw=3vi+V?^TZRV#O>z4`c$===`On_$AP zC2v5(Q2b2fOE`%sag52xJDjOqFxUIKEUHwBWv)O@TLyQaX~FEUzq;dhQ7Fr4v{Hql zweFVtZ$ZDoKzdU`v_XNdNX0*T#4YY5gfYmuQ&YF5smuTt?&O2Aes<{NyV}`jGHdA8 zZH9t5N-bhWzM^_B+5~`|N!4>_VsGNoS#^#KH{SI?n&fO*+Hd=unVzZKrrgvqNH3qP zj{?-SPVhk%k~7I(7Pj?au2$WTh4cwAbloEaFF|j141I}aOv!W8$-x4(UH&vUbhD;|?q!mp zxXePyCT&%GH}>3pUsIVt&tK_CaLNq2W3YNFv8>oqH|B3_!eMpb3s`k~kvb{XM5+Xy z!;X1YAV+6PQTZ;X$d>xDM3HT?yJDD_G*g{eoTpEpcnqke8J0p4TUnYoh3(R^dm^ev z({JX*;~4IeV;!Q_rA&0LG-oN9=Z5nIT1T$5nc>W#wt`fJUk(>d_@Et#(-p*>2d4#VE zXtaMPVa?Z5EsyYgLyi->TMzHmzUbuiN+3Fmeqy#Vl?Np|JGc)ZiP~-wf7>_Wez6mC z%GyY`VBTid`1Y;!gtU3_bXpTE5jEk38Sb-Vd%MpdhV^oo?LoyMLt5*$g}&Q0F>8=r z8+^=;o%<=#x@>0oF~h5z-TQ57%r>%JxTTVsCjuyz4?cDOkuL5@TII$LX5xL{9-GZ@ zn9xs`=cNQT-Bg_Ibgba^+T>{L|N_vg(1Y(Bq4l!3UdOX~ON}*{6>k8bEVShyOwa zHAjuwE*-UW9NEq7#7%f&vBrWiOO9R-&(5(DatNGNO~r5t)X9Wi?1*VKg61X>DCVy$aX1=ZS*H!SS2GEckNk`0-R}Lqe+1yph&U z<8=t%$!AD_H_c*TCdb(;YA%0w(mOE0^!4ONx? zBPo^$ESc^k>M|+CnVXRV?@K0%pQdN7_zA*;xh`-GIePA~Z{wy0Dk8azflP-|jj!AI z1bE7i&nE1e9&=5XKPEF+7w83Z*{~s^hiS_mCD)OUT}R&IGsc?Kpp*#EbAJ$Bv=qz4 z4KmtLxNegr%B_elYmC2h9{m7JoA@mLr)uG|A7kdygIJ8y>dC}`(C-{3c%PLl}L;Mz?!6AVHc$H;Z4hbaBIhC}Tv_ z)I;~9IOHba4uKl}`}{2Q1DJ+xx${8QP)qf#{sQnfzbJtsQ1Sx&HFu=?Gu5rDbhd}gzdg_B&zX_LXS_IntvhaJ|eW<2@ z0bILYZGAKZvVEUN{5T{kd7;1{KdJQ>dSKXny=K5i`v>oGZN1%o;DP_IftSJ&8m z_HO9dkWGQ>g8rBf71|JNAmH%OtzR|}EiNs+ui!-e^jdZA-Tk=}{rnyjH27~l{k@w` zE%t#N_*v~)1}(i>Am6Y~d?p-i#ZleaI3O|hU|%(Is3#!xZFrqrXSIpV0h^rzJilP7 z^linsgMfd+ zed$8gze8@}cK@7!F(37u;=;v!zCPyi9eR0cYz*3L|1$hK_26TO@K|VAy!3MZ#L8-J z?7*CjQ$QRY9UlTi-aP_=hU5Zv|8j+qqQAHyZ2h`Z_E%p84EQa3@)iA-qrJc0H-2?v zR`vbH6x;gEYCyyt<3(UOK-p_;^}7G$hX0Hn|Hkh27JluL|MWs7xYaj*7n;5o{{EKr zyV7gD_QKpyTn4t4_GWy4Bli8ao>PtKQB{J~2e+?%+f^e1dG~@T+LvAXjX*f1{B0MY zW-)+(y5t*rldAgk8n!mD4=d?rx_Zq9Iy%}v`O)k6>~5%Q?`6xneSZ@JZP&~EogoKr zt!w@2*6RWa~7ga&d5QU^FOyP^>W)>{Q>(N&gE=ybG=36o>A z>5()&e#&yQbZRH;lhm)4e${i}Oq4vk^=xaR9d)E^=Xbk&?=DBBD&ml>Jl?n*VHWlB zZUm)g6MeB@zU^H4tE-8PIfIs5~tnvLf+8~SHv8Y%j!32EK_B)-6Yno)yeUL&%Iqj=dx;oVLl=B?z zBLm5>*YQQ9eqM@U=^L;FS0j)xgYUJdyBF+NZXz0S|D{`BD(?DKkHonZcH!u2_Q z0XSD6PIC=YNgFp!%h%{cNcuN7dm)DbJX*Gum4Aj%H>Ub)1X%|V-bs?v-(*~6r67}w zg4@%fCGMAa-Te}S$2TE{4I)c?APk4Xxbb69EbYg_=f*i(56OzN zs+G&qMV&!fMNFIB84UmW##yd-9GiB>GS2t5k*vtx^;YdhMmv}YIh=s?NTbQ(cCC2GWwRCqKqR9VzgL< zWjfK@TOI=6drMFI#(j>FvoMFaSP>P>yCGt5_?s|S$~aQh&Bx#NFdv3|eh%dXBs>!= zHQYl=HhY+yI`+Q3N1_Z5(e6?`p26YAyXJ@_ry_Hu9|Jk5rS|o(mhmL6>?l;e7B4CD zB}cq|Qr&MeQ#r}hGa;HXZv7}mJPWPD^zXv@HcGRyMqqk?^&12=`&JjwHVmT2jPL=x zBSyVuq;)7Q7V5qxO&rTk&(zWF`m3grEd4d(+Fh85LOM(sw=+Woslv9Ty)gD$+r`kN zQV?HPw2z+npk>VL{BP$+5iC`8sX6qGw9=4VCC;-sZ@R6)36rt!CWm(^SB7*zsWbp6A%|QGkG~m<~6yzY9(A4b?$M4%(?MXUY4mo)X zd19>{ZgudRg81dxL4T}OeUcYr?Q1)@zZ;b-NPZ~Z$jesAfRKV4J&PqSb$DH{K~u2k zD=rY<#C(U$9ypO1kIQ$Xg`koED9qFql5f|8^gWJU?KgRHM-9W-%Jr%F2JEQP?#t0m z6p=T{6O0GLxM{lwujApQ&WqG+FY0QNKa6_b9ESkh>GJey}Rw^mHfj2K6 zZgQsrm@9(8i#w^su_Cc;x5C3rHX@a*9X^dqBgr|Nz$UJj=m6}lxhZ_YtyxLrBxzyL zahC4Qo%ZS8IBH}Yt{f$jZY*q@SZKDW?z)L?^-(tERoKC5%T8n6evVbIHG6frEBjYG zq5BXAZOWHH)wVZ_w-5J4rhTNdXZ*Iy7@5ep|kr>t;el& z!3M3+FOZ;0x=$p#zTWg5ZDI>v?f3^CDtBdRcTYY}VZqggHdc_A3JWid=FyOqUD#Ya z>|$?!N5_MxB;GR0&28w{wzYffahU`LdY+my$y6Euu1^`MFxzAECsFWB$`L9zahV40 z1YWJr^G3UQ`kGuoxMslogvm#?0VoK>QUwC6h%)bhE$-h@#0s9;SRz6w!6mf#%4qfGb+v|iSC{uBlR3f zpCtWh^}S!0$pMJt57Pg-$xRhw>~M;^lm6tVNwh?b%uKbTnzmbKZI~clEfIW{ENaSv zS4)mDF^CXo_JX`!HS)W^dz8j0U0sDk@;%t`EQnnDe(;Xv>=m@FE$@Bd%%0$-9>*3fDz0`G=)%7)u66j8mZ>0#0bL&Qp+_5Vx0~EQ1sy1-AbAC*HzK-X|PDG%jgi9MwD~7 zIt*ZYc8AqtiSx8@3u zvSz*qAOKF26F%52os}Qr0{h)VUF)26tNVl={|_P1axdQyw`4kr_4Lo=xuM(rLD%IFpdjljhbl zr8E+-M_nC)D#w9=s6dg=_Yk!U#6JEYSd<{Uc8@Wpv89EB`#g{WyHSh!ZyD6u+jPsp zLY4J)ymHf+GMKTs1hwubr8CZS*s{}OxE;0!;NyEaZ?zr=7&zBZ)8swBw!QS6Q!0wv zr?Ad)iooKkZB&4&o*EKD%DDKJR>2uNJ^X>LFAMt10+^~$&4K*b`-daQC|+&)=zhlgz+{IXKb5``u(|z@cNqq->*G&eEJgl zAl;3%B2L=F#^$&6Rw&6~@a>0#w{IMq`kVmD*2wu2;3$+m;jWM5cEtVIwNPDRL*Lk_ z44*4K3_D^tQ;$flFiT2H2*5h~aNU*n*ZijQW?L%8iz6xS_0VnKd5-#;ucauhlVDc0 z%51@}yz zf8Fp$-wD@!Wh=S}wQH^&gerE7G(smOfDWthm$bA*O}!76HH@+T^;GQm4yr7jwyj7Y zab}Zzb@M^*bI*p6ywu$v7A#l;CglJ@H+%ZvooVqxb9&gwu)Z_q85j zzy?DlBp4i~kS@Ph8r)8GRTMR;AQ>b05eiH9qfPh5?)_bMN|@vvKC4dCXwi+P6t-Gr zsA%pB;`ShIaSv08*1Ee;MbJFX74W7M8v_rGJ(E1X!US$dRjBl~_sK4`)}B_6jzgji zj1~^ET)niAdA0aelJ6-iZbHE5n=euq{y2#YVJ}M*;V2aqwD1r7o7MLDF8$NNLiRP| zOMdU<&NuET7M}?v!NFwe$?)WT#=2)8u$Eb<1Wp$F1GAYaTXV?Goz-S+%xLH&P5$B4bRnuG*gqk&4f%b7 zH!L?9Nh{-ookm~h8>Y66o*A}w2joRDwaM^LkBy@>7j*-ipO;{LD(^?xyo;(-+R1MP zOwjaYuqHnu9&@;*0EFZ1Ty9??nk!u_n1D06rLdCuGZ^Eu;Wmm~1*d2*hvJkaXBm!r;!YaZ2Sp0dL zTz>rsX5Z1k;v&@#GuOL{Kyztr$1qg)KRYiA3lOg?uIb<}))9CQpZ}-Gq#S)RlwT z^cxh<+ao(sNS%kZuR0%(2HaUq(CvG&SnTg@8{SvB)xZ_3r zt)b@J{er5R4h@m0!twrHV(a&k&R!`@j?&MqKAyO@vbA2UT~8A4n+N=9zSbvL(P&U< zV)s7zj=R}3^^v1?M85q)gE_d?gmXn=t=RR+!)1nCs)RhIAyhP15g3e2fX0>6?(>p$ z;48@Re#o<<&g*70)lJ_IcjS9`#qIo`*+0Mv7jlMIphBDKYTV65hm%jxxzv+SNy_bro-;Qikpl8RkI-p zyFECIJl$!C@p)*=;KV!&3btpusj5bk%tG-T{(VZ}yY!x54c}zBNAs5(Mz}k;JYFy- zc6gU>Rlv9~t{jamQ`gE!fHxw2^oIVcWj=zK9S6k9Vuf{JmArp3S?BP473<{2`>(zs z1ru6{O71M?<4pI9*~A;~;kg9)?aFjhT#V*z7M#c$E?naQ3?NuyXTm$Cb|?#nSGGWr zbkXra}am4q|Q(|)K`u+_a z5A8v`#GBz44YA^^;`Daz3`t#bGIdJ2FfSEkr#ng`;7)b~M>ArQ4KR5RD7%WJkjkO$+0X?XSiq=Rga-_F#1Z9Nmt~^*kH4T>9r$n`0TY5`i6ho zTOyIouh49ql zCS;H_WQyCAfJ{**j|Ld|9T68?31fG)1j3!q(3A)}Pa2o71UMnUY zTulU)5Jh7bc9evld&l)2AHz0u+*ic~+zopnV+if(bgC&}2?SgQXg{bO$3v&!SOu~ijqj;%grw~7%kJg*5WUOE{{DpenV4y(G!ULwtD07Z+ZQTL0Z57{p z!$Gl@Jw4~{9La+!rIR>7M<*GCp%#g$NL*Y(FK7jt{=g`z@6)Q+0b+92kt-ml(aEfL z)nho{4E1>;AVLFN{@|;nCr1pC9(VJs;2VF)T6@KfgLmxp2NF-Hrf|Uwbi7lYh6e+M zcDGJ4=F()GqMU)#wgxXr!cy$Ug`6qqPr=9*JT^Ug&YO#mrJ5QG;1y9SUI1Ew%k3?* zRH~{MQBh*kw{#Kse5O>;R@8I+hxtkL={-~>KBb(9X`_9y+LjZy8FZo_uC3_ayv3s+ z*0OLo+O=m=x@Dn%c^k%WGq)?oo#U79GV-{E1@ zK$A}u*i%eRz1jeuo4R-XA&v=nRWXJ#L{E8P{(KQeKsgT5X_%cE4`GS-R*3j@!H)Gl z9dl{QF6LPeY)p`TPO)G+zDMP<%pZW=O~3M#($8sZG}7RJ1Ck55@nTV_5%b)cJ}3}|I_3yl6w(!p)jE^EMsjD+&6+K_ z9FgUdkfcH)l*>pFU4^+KaINh_9;boz^=waA&pldO^JZiR^Ed>-berL*+8b%;%$=D! z0QsL4(zxnWV> zVUu4&fTR`}FgepVzTvWTWBkiBP)_*}lIbv5`Lg!X^#9dbi`)@9Ks1D{0O#umA_2eY zM6+C!JL*^v(-yIg`kk;z&>g{N2T#3ul{CN>eiK*Ccj{SYG@g} zHSl3$fKp*iQOvl)loh*5FbY;ZvCc6awSZt3)L(brBtAhls(5_VviCeKZHHJN$4Px(8L0c20o-BD{MMQb~s!Z!uXTU6CGlFQzN?R0RKDjGR+!CQzejYumPM zdurRZ-F~%gO^vB-+qUhgZMSF6O-^!>`zQDAxBa%0{j#yvs>l=I%4XjdzDe+UKZ?|F z43_PC7@u5ylC7;~knIaj>mKOqCo;LNkT&lIqQ zZ7Asekk%1>Y*(R2*_3GaimREKmq?w#Ey)e_6Qylm%v*^Y&8=DC1a(7Q;+)-KQzs`se1okWmFfVrPB^kzc@^+3OZNH9`7P#WNFdR!s|;j{D6K zAYc;^75=%TQk5ByT9DEwn`<82`a>@*x-b>j z-v%_6Oi0jaT7Q(4VXkR$-1%x9E&_e^4zi9x!+y)`UEKM2zZ_>r;L&TVuioEK&H>VKGcK0`O- zn7y=q7`^ra8XS!8*x(%9&fT~XP(Pxy(r!Vgu26Z#?EF9u_2Sf{T2!IeDywZCI-Q=X z!Jt`pb3rW`Zmb%V%@!yJb8wK!JdUkY)kx1Vnyoq}1v27Q9DOIS$PvgexH_i+=524= ze@qKe!jDwF+1ZH|OvjF2P_XM7re;i43wO!{j+#51qpDmC-o6VF6CZ!aEpl^X*@dCa z^2MeTB*R$avGlhbFbRXXc_|sKcg&ko-t z6vw9Z9J2U3Ym@qHCTncA)P?#o?Zypktqn%9Xm_KH;voy0nrAli1deB;i({zI_1%fH zH=vki3cp88{0{HrWO9_ua4|kr!phO(a)S{_iG+p42To@DC5a4QN;pD;cb39OD3iFd z+g)PwhX|8hQoB9%A<~C2v+EE4$CcZGU$bR1TxCOZ)FgsJpN2w?viAFeZBy0)D0cYf z6poK2vLMs>9TOdsORiM@oRjy2i16PuymyVP z7YPBCNWH=?fv2)gW9&^f;hjANqt>vx}H)uZQP`mK5++lnr`1*<;h zmEzUCl$XT zwuyI4*>^&o?DXActsCIn;MA%?zxzRS#I^R*#umh`BjG}}ZM3rj#~ zW~2UX9~`f_4CF+(FU!raZ9M1x1(&~xRIyXo*L+P)j2CIr>jDV3NGkAn&jZlBJZkyP zv8kyrme2)%hSB{jNbR7Oxzj{Ug?pnBRP&^wA_4@bGhFN{$+XRG-?5sT0BGUkH z`GX=c)Zk94=L)!+jHu$QejkO&zv=1hUZ7&Q+Az;(%j{gFl=)cTj@U9{Ww4&exelZ0 z8Tg@wUI8-#VeB9ZFD@pQU)O9)WaP?)bB#HXjq83v(F|X3XO$^Wb zi}KD7$85gPSyYF{2v7I!6SC8*91|feSIxG>m(%Got3(^ z(}{*6xAnGB_ykjc4n4s51&S|69XXS8V3avJ)W8pMS=2=y35wpoH0^no$EdDNn3ttR zz2PEcbkylzx2ioq7quQ{V0UTWoh6n@9xlmQMp+OV?+P%^exF7198GU|+Sf!_7hG-2 z^uFD@#1P}TnadOwf^GOpF|&OXt4n%JnL1Sa$JJCgL@i=psR%l)(4M$tBD;VTPl{HF zWn5@EZ*a#gX+e6qZoD0aS7=%T$5a~hj(SvnbG1fH57{dCoM1%TPdTgHS|TVmz!^Au4$0cSl3qja zRkB!#8ypUWNjriG%yt^(;!})yFuV(RLQ1ErAV$JZ6*?(KU&4#+SkPdE1tiN%3T?z{ zmvk*OtGiF>Oi|}?vbSUxA%nyOxK2FfjvzDlvYQdx2Xhf=>p2$v-DfAAN7?j3z2V4O zDih}L(CRe*DKD-lG_LhvRDSv^XBe8us zM?#B5EbGl#YgXQA6=e4Cx7GSvr|uYf4hgDzU~3uIZT0MGosh4S4Q(84YT#8fy?z?(J4=+Ulmh`zfZ8%-WOK(hw1zxoTeS;@Z4j z(g>T5(N%)eeY0`Dpx1;qp&5b;`g znL|(z1Y|aZ6(q*SCYF;+rs{*4n!vm=H4Y{w`@4bRaO(tJipFLK@&UpBp%y~31Ti!M zW^!?H8B7H23A*IRqo1bF2394+T54)?{b~3_2Vr`CEj=M!9ADT%5W2hDhiL*{-vqhJ z79{#!jieDG>RShaVrpyx2I--pvX&Z`0V*T=y9|UP#QUc(5ngD1cx_|>jL60cq{#(D z8FWf04k*i?4v2z?S7owS+r{{`55*k>3po2SkRp}PN(g}Z=gWYBCxCx$eq~|&>=4)R z42%iD*5LA;9>@x1Xk}r1X#9>Dh}emJ>LBtQ_a`1|6LA+Zon&l$eSBzsVF&wGNli)h zlaMcmJ|_F8;>z@GA0l8%fJ9E1g2BJ}vGoS@c<{p3)anGx5u$_lM{N=dimBPPp_Tdm zwd@Pn{KoQ)6CRUNhWEjr`41=;$aE~8oLzvtJRuX|n!ntMfiK9n%!~N*GY5gcMeujr zy8=S$jJyyoD+HH$YJ4We3}N#${nZ}U&jyXMyEzdM>!RRg3B&WxV><}`4*}A$fp^$@ za7ZHc*vts1Aq-ovNeU#le+ro5*Nv+AYcJ~CkI=ynYT%E;->)CkmtFRE#_-pl7rr0f zrnczV*setS+Z(bz!5gdqy1iPN<6dywb?pt0Plf#-f^y(b$k88Yv5ECl6Qlw6V?tvl zW~Q$}%QG_jGXyrZCRdJnpmgkYAK5d9&deO@x%rU=gxCDz-C(deR#xV(EQRHPg`th> z+WN+yLGUKlFTgn=$d_EUlA5l(=m+hUf3MO{oXV%-j@I(vckqV4D+wga*X*zX6$uFu zAOMq}l@~T3_jlymVW02qzPZ`U8zId%{Lp7@b9Q25VKJ}JN#RxeRBz^gGhganKMR;m>lxp`JGVW~SXoU=do`$iA-}q9qeM* zy#~xJ9pY|yN(V2Y+wX$dWOvR4rCu!NFHO>k3mvC@fpQCT=C^ z)Ej@ZV7X0?AkTUZe^RZKwH}=~uQcddT4qq8Nz_pA2k*pAe&BbHL7L(=uSe5*ecj(K zam}7_i6N;Og0MKwCkh8eg__H|;=23SYcO5XCYuSE{?5dP@H}UPrcY3!mdDBy3$#onP7Q}Q7P zxP|$dm2GeORT>b;wKJe5kMD{A%tZV1*5?QXUgn!(IQjhVqr!%5>lsJl*h!?k$uDo~ z@iH?+ze}QyN#SN)TzQslh}w%@+1B%-3ieYxd5(YZYxZ(6C|bt-E(Qv69JBF244d}s zIc&U#!6VN5ewvH;oOFN<+AyA9Fq%V;ykbFB@WfljC-O()1hqjma#*iZwnG6FRozhK zZElfQLmexzST{Z%f?Xa-&tcsdIVZx4X}UVq$?c%CBjY*h}$anLn#SaU6!mN!dc ze%@0))AtTwQ86uR`m+!1&1Ra+l`S}rMlhMLLn2=3QF;3WwM}zJk{z7KAefAvx{ote zz%nGs#;73^4E;`z6}I=GXzybgK{};Q+b|^KfB6nXoH!vBC{FIb^YBYM*=-aNwexhI zosVJ+Mc$)d?G$c`a`5A+j9YMi!FLRG;GRw?uN>sZs)5P)FBzK)mMBh_##5B|0?RnA zenn>!C;&ZDH<0{BWt6MDl=;Pw03Y8p6vVJ^E(vIr(^vN7WU*e3;jdN`lHR*qE3^$w zmKcQnT_Qb9FA#bh3B?)0D3tPiL`dxJ&F}XSIuMU2$OPj*7qgy4zw>%wilqsV(@$WI zaPvd``&+AxC`xZ`(Uo&i3sA4LkXJ8Nh8WrM-|l??I!Cm?FP@8VPWim8)v*LK+Nv|f z+yp3Jn}~ARQ-$yt+M7+N#kTDl6RCqpTbuPdu8|?uv^b_Mr=9{J%09^JA!Bnqy0%#m zZ&0s5X#8toN4qRk&^+7R?Q!WqYW&PQT8|YD9ewDD>Fo%7Jh#P`E9jymo=6Wr+-cw97{1 zhA?w&A=F|MRhR5(XAsFXdp9ZOnG{O{c>GhN_D4?laBMVji*KP!>TKd~o=p)(S>k#P zNOb26#hx<-^SDuKj%x)jfS7@W#j$~gL$BqCun)D@U2-L=bwLsz#{m*$JSMP?+WvD; z-yO(rO}Cg*byv>PX>mWEUV>lsd;HS8B~KJd3R^-iZyCeNu;|);*~ceHX433CjBn1! znQsranlA9)76O*eHJ`-2L=;CJgykI;F}kGN>>p_NK(-?XBe2J;$5tX|arDg^J!M;_ z({Bqop41!|6-Pl@C1JYP*;GZmnId8z@-i?=2J98xry-Fx;r8Y~&{NJUksaMs_`El~ zY33C_pQ`W)aotV{Eyqxq2{|5o=$d66e@|EKD%yY-lMFWU%ouGqOmcF_?d7XwI8M1% zxf;3=FA87A_Z2j0h;(URM%EMK5C%@$?z1@?0a73-(e|!dN85OhY@Cxc*E(^8tXaMfQvW;8ihb0>T z-zuFZMT&)x4_^h-fRs}#z?%!bIHSng{n?Qg#V8_V)=}E7I6FRF1y$=xbGr^QXmM#i z5S@8&{sapkdu|9#+$5s}IIuEL3!vx$t*Hy#*a{((0ne;$CuNJ;cl8zbK$98Dzl`7);@#V+bLdXxDB_MvQC^i5&7qkXJl(y7E7_sqK@<(Gb{wBRw{-L$;*-+3z9o&D0&x`j{vy__ZB}6fW0RH&k-6tL~U0ib>YJ#-nWv>yOcd z=~`CHDt0Q&A8Bw02{=&?W8=H;U1@gomK&0`&%y=TQc0?L{f4~H{4PnjG_ zv9%n~6IRL=q~h>5o-VKf=*hD;e=D_|fuF-Gi-q>O#BzoG+kLWX}k7`*L} zfsTvEgF`6PyM%KCxVk03fvw_mn~Z%4Q_>>PlhB25Z9 zsBK<74?DOlPJ8&f(cOLXSVBKt=fyLF1x)Xc189MLzN^h_F;0oeLf?t%q*k~lPTtAC z8&R?dAoHJereh&@S}4;thBA&lU-v@j=+B}=JGZfc8N!oZ?g0g*=KpF1DX-U{9&#=5U}JIOF;|> z(*`&Wjo^}Dw|cC!wm5BcdQE#P!y867DO6Gf_+X?MwltK50EFm2% z%~u(6T%`r=U!jYSM-a_j-WU$x1`=d$0&CGHf*LgVb*fe1xsm_nqWEeCi`b$#79F>x z+M{IN3n%wy4l{NR7s1oWuL-6AZO;(4avK7g(>al*qgWkV10TJ_p%ZFp;Y1%oe_H$q zyd$_UTlFS+FX!bYcVbrD>FuXQWr~-WM{2Ni`*uR>gYfRtVleEyF zek9W-JpRU7hH*E$6J-GQ&7of&hhhO5C-uF7`{BW?SwH&u{m4Z;&Bv6&;Cm;gHP;eY z28x16(;E+~I**J?Ohl8KmDQM?4W8EH2|hKXjLG$iK3JI?(u~yl*JuuTdLGL}Ce`m@ z3(Gjd)nY-lXzeg!j>J!T*-_1-ddi%8^(9U+!e{R%(e|3#DoeJ>3kufk^b{P2)T_bB>Lwz7#HB1&2lQA#{xNpq zzHW#P15^1qGv$t+OvKGP6{`mWSwznPS{2`0E-M*WXpMOXJTpatn-#?(^MM}%Ohe|4 zKBTUqq)|DfHQ0w8*1X&pU16A8497+uzAIHSUEUCjJ8oFSl{zMxUEUrMT4&Mcw6yeo zCvmtCgP_}7~@_=Z)LrH zc_^gJSJ{hBCuCSkU?J~ocV%m;I9=Vp1aD-PfJZ!BSKF%TMqp|1y!@+YTNlxZv#9DI zR&5TR;`&27pkRVSq3MXgIb+C z-f#i(Vdg=M6*?La)b{-&6e-m8OyMbTId(fe(FDQ;x^<|+y!fr*xmSzI zs-$=p0fV6kRs;*mnCIE$-W5Pk-BaU#Ep^xBAI-$R9$VPCaj@yIa+^w*u|q^AHuc+q z_x9?V69H5{+UTYNx5V33MZ2Ho?s?zcCN_lnl)!N&DM84$QUv2_BcV**6Kl9|uI73X zjAZ=gX8?I&7A+uDzqZROyUhrJd#iu>SZ%^jo{PgwCR;6zI!V513d78!WB5O9=V+lo zU+99=Xr4={STxbiqk;bZ#cU`lUZ}8V72LRS&9yh@Ys6Vf!f3(il)^F#gGSg%g# zpG*jcB5gg>1=jo6!zHtfrpi!I!>pDe*U8G8|E?v;o`pV?<0|(fL#eqR*x;%=!_wf& z#;g>wPGTH7ZgKyrE54fCvCEL%#flOqU1}kgOSD(>nLou9VoJ}@= zC+l_teVi4Ou)x}G_(xPfOET7dqr!_Gu4@AK{U~R+}1Ww;*AaE@& z$4jKj4fW>^kH3}GD@|9}l#~gt+bJW8LZpT$8(6SDI1=)~7M-G*)(vt4 z$&iD@V}0jRg8PO+GvsKw8*xbXBCObp2%3Y#c5zn1@H5t(?N9Yu$fj;L1~v*w_0Vak zAuN8@N?{EVi<`e$M9;{2=ly6VH5v|$ihDGe^=+IZEKhb-zU_bW`L}_49LtyvB;Nn8+a1>7~A{)8KcR44seHzdKuNoGbm?`wkXP#2nAZ< zI>86vslW4G1k~C1_?epYCR&_Nubaq^s&{14-bC;#Wba&|qeBZGan!0nA;$^=S`}cv zI&>xj0n*wc0jBs9MLtX+S3BN1UbLNkT}hNAd_qN zieKb@q^s$27S}xC7GL-+$BvsXv}-C+mB~MK>T-tt(S_jE{IBwi&SQyjdu?3XvdtUB zCVnRy7S`|_P7(ESW(Tz!8l^!6=#UHngHlF9$le*9Z6VYOV!t~v@*|Voa>0LLs($!6 z7V>=o>25*R$(CW&NMdxg%Uht~0L zSb7f0rXQ%CY(?inw@u^aE2Ft-jy7CEpF?QJn|U1Zl)eLiWmIuw|24bft)1o0FXPMq zweB<8-Y;eGwDh_U#(dsC+nU^7CvKHn1|l-(0wn@BVtku>vp|eUeeh7DrMzDJMdQlzOfp ztRjirY3|x-35mSIuNqb==+~i9dg1OukivRVf4(P;V#nAhg-gXio(D@Zy6IW;oeMcT zb#Jv+#vj@$R1>I+Utl_&Qa`=Zdq`0AFk%oc%1*W9{35m^Wy!zLV)NWa-Q$TQPKuZ) zb;GadFycJGi6bTBiGJ8wL-D1H>z`K+`yO+OD~hb|B}Yf3cSO>sz6Fo9`6~@+J2b0+ z1x^JyM3z)1dstlAjMvh2hjvF7J=)liG51rMVr)CnRg4MdiQsyOZJom(hCeAtvvf7! zTDcO-R{p; zvlojpZ_}5&@*Bz5fss3yB<3Gi_>Ezrb~5`bA=8AyL3-2A5(U4LG;2n!Yf#}e&%lmm zQ2d~Yq4LI%30KbHG@o{~F?O38VWUFh>kf)CqZT9vO4V`TFbr*%|4)xEpNZNM#X9;J z{WFyy&P1acV`d@};OKqa0GgfgFwrhOXwy5<$HO_p6moHuWZ3dzlMd@2oM=5hQ z;#2yp4HjG2ip6t3>kqBh%&csCoB5q>Af0T)5shK9iMq;tSwWRW{3SLHZq*KxG5Z7# zK26czion+gJ);q;xU{K&Z|)Rkmm8ZdZIB61Y3s$XEdVODU+&#nJ`u_De!W52@j$Rt z?`!&!9aO69#gxFTjs0t1(RiF!h$`(kU)c4`Ru3F(_H2=MtSxi=ylIYL=cQC+(?|VC z3RB~sF zTT34p)f?B`b(X4hMaq}I+B%-`%EKh4Piu7b5dTXv9nfazN@UivWdKeMbA0mRyn@RT$h0+Di6Ms zqIUe&&+r1F2^S-l-Lp+4__n88+r1>Py8)}He$|rmd7}qH;UDjfQYD`eBhLVvx>BVp zXesVopE=mv0NP+PGI$1OZkxDJg4mK(shCZ+CPRdGc{^VwMBrrZD1(Fs0;Z?gD%!+ntn6v8g1v=-)>8Wa7>kCPD-Y z-frFXSw`=^l@sX+{gYBrh4P&4bT#}Q# zq5}X4;57i} z%md`ieAh)X_fjRsPM(>V@kMzFj8}bq7grlw8*9sYLvwR?*T>Y)P|{@8wRPd$>EhSW zoFYA^yhZe`UU+oCGYNY8|p{D-Lg$vXKcQaiG=%unId2(H5in0CQ|Ss7^0;4^}}#rm_W0khI( zY+M}frQVnAO$_rZP{|f51Jl^ma51Q{C`3bvwk}RQNKkW^XoW4vpyo@K5rYNX8+N7J z!}}j!7D-81uG=QnoWrVz;i&cy*G2ixK96GQrj&~_J~muI+Rc4TxDI@_=;=IC{#M~? zd7ay_vbFcUxNze`A$Zu*p`8cXqgxkTU^CY42|)@)2loiK*WoyBh#f)Urbiav*Egv1 zLUR-_W6EE-iYY3_b5rTWG%-sX24`pRD+3xBn^krGN9blBrsxbP?PmA6VchL`-{NzU zhE6w5Bh;2i5(Er=Q%kiVBs>Lg^U-G|DH!kCPWS|5zo0hk6<})TfF|zE7^D3YwTrWt z%@@58pZfd27(FEu#POI#5X=)S&c&6W-ULh$`H8-biwjlRF}7NXO{#YrialzBHr7=V zK+VDZ6>O9^saA<>q0~h#&UQ?BXU!A!josN|U2$m}c-w>BSXF?1NDc6cTed90qR|&! z{@#yZIW8Pn>zTGz(7N7nO1+qceO(iDx+7iL^DI{VFVtCIId zo5*80f6XNgA8wH^uDKf_kg>iZqe1-Wyl$git7;W;WqWX8B8@by7wRnUQW-eB3HOC3 zT3&8DhiT(yBwOM`sPW_V9H2VC-!sV&8Anr-XfxXd4gdF|oygJ0od06TamFpp>WME- zZWw-~gNUtq6(csJqq`PNg(Y6^m*clZ1f@n8&S*ojO&S{I^Aq+ya4DVya!o5)FtS-t zQlLPzY6PB(l{^pK;5Ybs1OC3VveYo8RGve50)QU5gDaM}hw(=fnPW;K1i9-}RB_#{ z50Orz5Z&ll*xcRbc=1Xf?~z;@7PK~-QE=Kr#@h3X9L%Tw%?KX&k1zehD(90K^{te$ zSQBM`)K)e!CLD*bY6U_-lJ_$elliCO*s0F5m zYmjF~#{OXpW{+|FH2x$}30bk+Cna*_ zk}L}8!_(UmG3`k3T@}}^0#Q6DIsDX3X&uo_n`IpySeyqg*hvhy#q$xiQ>Pf5d8z{a zE${$%kN1!zM#;`wA4k%89-S7)A+JM3Ovl^_4GBN=uo;$c#pd=+IF0#YNYr3xQ&|>wDvc1h#Rca5kzPgAWTuP5+aTI0g8doc2 zYJ7mW7J+zE>;t7Icze_(cm~sxA#!uo;Utm;)oNLZc;>r_|Hb?L;9C5{UX7+xKl}?s zy&oo}r8iIf!*v>8WPj2KGrMH%Z(lz>hV-D>{{4Xd1ND`|iJv+EzUP37-J_mW9thlz z`y*FZOOQsJTjR<>v|56&y{~q^t5Jyv3;0( za)RyQy}FuVVYEDEy+2#hZfLADChFcZzR8(-asUpZ5^(8tb;vn6a1F@2ao_DiZ;)av+%izDQM zj1w8{+*}Nxo|Z1VS}}Echd};aevhA&(x{X(lR2Q%Gg=#iy_oL{6Q5b2f&nGS$*lDx zB$1na@dfK3GD-qhb1V09`e}Uxf-**(#N8GwHERyw5dwx-ao3pQO-UigKVFDv7%EJ1d7m1(aOz62=l8S{j#BYB@oiia#WsrxrwXkEpCZ~!a*X8=UkrZ!c*GB zSHMncm7SJg04?iUXf08P%A-bgg8B~Ur2Vb0Sk+oT8NKT2o=c^P<~@m!HjGrXp1EK! z)jRL}S5XN~E?}>ZU9MK?^0tfl)n(|`^?ZU8`@;SW!AZVht!cUUYQg(ga*3+l=MFIj zqnq#(M2dr{uGRd=#5)oO*U*hLz%N%5CA|pf9fcHBArSXIvjhrKxmHa%GH$0k+loHL^AO_4iyxF61 z?o?z}rfwJ=inFNj!JS>VCItU)<>C9mH)LSue%n;iP5u6`87hNcAB8U8J@qyC-aQA8 z&!J3!(B(RtO+<<0zC(!7>jh1=XpKVT=U593R4j>;smXHf1poXc;IqFTUczw5_*AB6 zwCZK6-Ql_brle zK9&z}>cqn34Xq5PtOf&>?)@+b!g31Qms#q=E@7PZIeyd-5}m!Kd4pDALMXFH_iM>q zVMMs0u2F*8f}ZWSMBoH(?3Z4L$uIp5z^lppEUYBH*j)jN*4|UA9qOT?vN4ea!$IIcXp$rLOC$AHv9h^umKNAfm%vW-}-OwbAHI(sX7|m%l zHUw1$Jb%eBYgwGW$@MJ!wGgtjiv=UTE-&Yy;pnSd2>O1!uD4)&|u95=)IV#$8PDjj!R%9kq+dxMEz zc}^eAy}mjlnIZ-^Kr}cecmq>K=4qX{y??|L@&u+RCS!s@YP`Ob!hA%;ZXF$5R{rl` zy9(JWlW1An5SwgInp+C@bd&^Gf(IP-Cta5ylD3+b8AARIai1Hv@X0{WnSrEB@?3_h z$iP6K+?@DQ#72Y3DDxH5VM4^8E8_9yK2?ZKVdKEA=!rfZm9F6 z1Q>KPsDr5hb{v*j4cGieTy~01<#OldD>}Pf$HF#;#Beyn!znv?Kb^oO<2XubdCL*J zKa#6EKUWv7$u6AgrQ98uBC=04^a& zPl7Hs6`Ml6Khu}b)O65Rw6%J1eg;<5HjhH}eB%6#4vQo3cl_{IU+C8ua+0&eh=$Wh z769n1-!C$=r@}_sgzTwfXV0(on=milf+A$FOTX`zq};ep+>(v&U^D1?x;wggu(BOT zH)OR?MpzFg{#*_^TLj@5j}IV6zH`CVW6wnRo}2g*_^Ey+BH8B;sE#F@am5H*BED}6 zB(+MQr-savJ1fTTPd?=9)h53TCJK+?a&q?Huh5t2UAbTtP|+2+SmS`6N5G~d#h{NJ zJQHZ8Bs>ofQ=Lozi9O7cK4{zyj_1KW2J=#!hOy?--7 zwfrHcZ;H~<;CbO2V@b!Fi}A^XW`4OrBQ#t>t*y2$|76$WgZX_nK>9FBcb*NilBx^r^W?dCh`gKeyKu#Knbb~s07R76>nCQghv2UVX@qO%{;$-Hj16^6o1sVYxPd$%1;;v_> zdi`O4=2t5O@?3mvWO2iZY^VzpIqsri`9)#sad4?)*E8ut>`&C|IkU;+OIXipx>_V) zc!KpCrZOIl8<}^ucF4bVH%H8lunX(_Ov2U%+f%T9WgZe&pP9l?4BIQt2?~yPuSh8u%tWbm$9PFwW4ryMF8{TsyGOhk~ye zL?ZLR>tm#ZI-UjiJ;5aOA3_O6xK3!whCiW9F!7B~=~C)fC^zIo24Z%j9!zKbMq7t( zBR{>KmgK}=#}K(lr??~h?~md&Us&_2OmC3L1qVbd>1AE(Q0t?`KB;|+S|qvBgnsz6 zb=TY!KuKR6urKIAl&vn(J=KrxL`562=)i60Gz$m9tYTT=#eZ46we!iV@=}HsbUo_E zaGLk?J+mrT^4pfNfxb1u6PkT_vB$rHyAVQSTym>kS_0$x^6r6e`Te^8m-6ib zGkl8V3mKg=GEIQOhAok{r;N?^+$xWP!O|xQ)vSVRqJ?rLv%aM!d7<8AhvVQDEzaw^ zX>|y!QC9IdEXS$PSqwh?vugdqUbrZ-wnCPKVK9O_O}5Dro{Q&s{ifMGD@$dajI1V& ztbPMgHkq4Z)RroZU2MK$rY+_9b z!xd|E=Rk{q3lD6C7I08n6jSiI)$eAw8`nhhoc^o(;M-|=;5iwLwGre@QoD?PZE7Qu zVq_fmkr)5?-JIEoFU-BvonEy6O(MaV_+^~7F(A7Vfr;Q{Cv#Bw5lRV#t(tTn`67aW zQ-)<}WjeRsl6er831>*1Y)2OEVGX3d@suu}ctV9cB-+-_onfX*+kWObtMGdZR}){O zNF;a$seZuGFs&AC8A+>idpF^2E`pIwNQ%#0s z>KY`@?Qu{HiMK#*Z6ZmF!qQ#SzeH@*2hTLlRj!Z4n!NCU2iyB(((yB|tG8Zv14SS#Cgww&D|6 z=d%Wh!~Wqy-uq66iV7a&c(T>|*BO!HID45 z?r_6;``;`+=f~2tkw_GinJM@dO3{9e+6u9i?$97Rp=b zD94iNUp{AJMA;%?-gQVOp`*{gB2`ufW49||{0=d5JGivNYvCkuk8e_)NeZynDn73? zSvVm^qGLM!ORv(@U?V>ZCGHcfF52oGUyh|>QP`)FL!wr^g2`}dbj+G(g*chtai^y- z;%~DvCSN|FH~4?N5_t17kEk{Z@dD(T=Yh}kP7+!+~2cAP|!^Itm=6? zzsjC>*lQmQI3mhAvxWYn{U?*K2g$W?$OvRuer0K5OWBlE)?;%zA{6F~ zv+P7V*8Tx?#>MEGm4XfRoWlj44i*qnvJpDZka^l8lCv8o3M=x#6;mS*e&revdeU>2 zle%R-uX^oKl)#W5$FHF3HV+&IspT@!fQ$kd6&y6RgY=rCe#34Pwrx(xfiS z$_!B=Qm_97+Lf<=`bfnDU)>q$;hu|AFu+YcM&k1(Ws1uBzL;+WDq)0Mm+nA0vB9$s z^N@7Vi5?m4ewxad^O$N>5Nha*yOe&RYy8qATAT^s&Qm5!jkR7U2=jpXjdavfwa5bc zOif^wNHXU&=gP(M*q}BQ!|tC?>WdhqxhhW&2d>8Ipqc~FIj;*fb$6J=#IvZmFAeJ! zgIW(OYW|6|@IGCI6zO@*+*~N-@=W0LbIlx693BJ2c^562QtUcAWb|6>8Yllv#W8#Rc6kBULpg8kyPqB;xj7l$M-#g3FOgh# z3CPqHbI=(ZxS+#VSGuR^r`YYl))P2U;v5{}C8^I1t`pBK;sL$p9GWaF$drE)ql>$9 z$`WA{aQ^_afk%MI0ZmN-Q7|wtXtD%EbpNaF6t{=M2HZ13pu@vo`D=Yc17mrAm!90n zTgbTZ0=?~Ga{h_!4yK=*Ibt08c@jq_LfSJ1220o400Jg~iPBcSM*)(C_GAwLn?pD? zH3e04WpAlx10K`P1iH!&R0U%7rVN<=Z~f=ly(IM~f}%02(`ow5G@k%!&w=O6K}e+m%8%s&OlOOxWbms?Kv`JnHs z=EsQB&Fxho4|nct7eeWql~vVW3M*q{bKL_(Hqg8d?*5sBf=SH>U$Di{42Q>00 z59;$rbmzza;2RM8o%ZYVza=1mrIQ9Ot|zI^UT+rAkLM_mDe#Xji~EmGQ(|>-?8y)H zcdvvs&`};f2Kvn#mLU|?|}VJ!#{2l zS0|^xy8e6S{}%n9>wiZb2=oA&z^*RYoA88KrDmkL)MDifO^E9B^)P`Cg*ucps21i2 zRNHs^r-totRT#e4gwi)oaeuaYE}l7j97t0ij`U#KP;@5)uk!GGNvL}BQ8vljIcN@p z81zdJ(#|!ayssBzw;{CI8PyMWCzO=+i{GK}r`lPZps$~)0!ZBQ1JFsI91#6XQtD$c zI*=PdP-_d$&dC!_o}VZNMu&$6yKfIFWx%)aXhu4L* zL1*)XE(jBk7)ceOS>d`VJ#vItYQ;-_uFZ7%@F`VoWcR4feEm9TN78k|^rK$AbAodm)OB zI^Dch)WT+WZuMQ%UbcunWS0eVdeVZC=(HqIPK6|ER(7hF$oy^_k1aEDez6VLVNF%q zQfFp>7U&=7R|IP(Crr;!@&pj9kVEX=qe4%_KcR*p0v@6Z?_zoTEwWw_Ib$AHGFGVa z>pM_VXHro5j%qxxY=X#p!|}?*H=@%vr)TNVn1)eQ~-GQH0`h} zC}pFHHu5Bi+QGIO>dBu-Nlq1b7r)cA?krD{Y-gPYWK#3cmM zj)A{7Z@lrZ?U`1XDgq?GD0>f1kkTN3W446t$4)2jAmryjCFvX-xE;c!{p{?-vrM}F zK2OnAe+O+vEM`cWG|>`@J1~>VDN|f)i9cezc4c+$ec<2E2$bFJQ?qfER-}d5w;W$J z8`_~*FSp1U<;cx|Yp5n=-`nYk;5G}_=;U2TWJjPQqjJ#QnLa)Nep=y;U2httZ0i!| zzQufT5oMZ(4TD zt=9hF>(tA$#R;&|L`XQ=^R;X#)tgXkU;iD33Z)miLtz;3M;4-J@y)k$T8qDYfyV;k z`8N8|6m-941j!r@7sbCc59=++-`+;wy7VVxu4T|(w3u;g)A&pc0mY(Fqub6P+NG8w z(6^&*1rNk7Iz@47K?oC$ZC0-WN>k6M@``Ti=yq!#BwdeX3THww_ z&EvN+y`KZ{3}+0E_#x3rh>I@NVmi}62DL7i?qp62!tfhG8e@9r08w3Y0^yJf540Z! zFPrR*PmNvbbINj|hEnV0dAfCG_+ql@7mh41Q(^m_~=?cN7cW`~Zo{ znHSr&e3I0n#=gEXjD4E+KD7?x*raV|o}phAv!vG*{$N4gOvZ+5yUjsevn8T}n0aw% z0@%xAKMAuSGxkWe7{G$fR>TzKOj)7pC;MXqO*-CvyxG~9w|84@Ec8S$#UJ#Gc}nCt z$+~OWx=F;&njZAPARFN(#nA+CjP5ft^Cqh&kltu@NNF%$MuFHNg7&*2`ZbXiM1Q=U z+a~RW6%x)vh}khNpaql51%eaMf@TbIv&o948WC zk4Wq`d^lX5;YxtoIWTw0dRC*obw0%w@Y(+Lsb#kLWeYFIYWr#nFl@R3fcBpmOHlNW zYSpADF~|ny4p(>0a1fNPQAZ1$% z1f`){@jpU}qB5`>vx&I8vx?&Zkfr7>d)itY2Tgjn3JQC!Ur0hFyxUjr?=jhN`tZm_oP^8xsohPabuWx0o49OwUZc#=4YbW4 zL-MW$GvG~^wL)D zd{q${Io_XDP-udjuAlC5x)gBw?)Drc3vM2j{gFd>O^MXrb7o-) z4)x2fYitSY3aaj8iKh99Ksv0`R@cejA*72^v(X%e+X^vl*RAc^HS)B%O+%w92pcU8 zo22*t?Fn{r&Ke-wAg%soV`8Iot0uTf@#|*7Zu?Si3LgDhM6gc^FSpk#Is<;UOudDR zvYO5m#bAOK4k8*~D>LNitGZ{+Ts#}(hjFA8HAKVCP5c%%$dQEYD>_pBCF^xK(m9UjK_%qJ!T{ zY?7JmT+bh&hs;3KI&M1n+rhD3u4$ebUm|$w0g2r_O3Ov|g;9@uW zwFaZpG%TY{j9HIl(wKtJFE?#8f4t^GsG8J8uVhu!U-o(@Ja}{FBy@G^=fk|uZ|22 z3tgaPLG4NyeornpaOq-P@*9Q5E{@W$+4f!Wnd2@cSkBa3-*s`cBZ6}4e19QTJmsdub8nzxEd zyg9|9M^u{`vXH-t%;40_JFB^&64LtC#N{Z~D{lBSz@B|UBOF_Qs&ffrj?x!nhp^9T1 zjG((N(Z8__3Lo zK`Nup#Q9q}uXE*C`(^%7@igsSbj{q~Z_kcLreQX$^P90JRC;fCH9k^zYb?@<*NAHH zk_HG1i)y?;ZM$o_1d58RvCk5DjkbjLkkN}YSiE&qU_Z3IxD3#2tOe$IL`N~DvjLAn4}eW}9zIh|i*uID|c;ga{K zHolde7xnez{edS`xN$*!t)J}p(!rSMU{sYyi3RwN(aU`Iu=Ls z@^X*C4K;h-nOL=reE)3+xf@OoB9oAz9{HE3NLGL;7AuH4r!2pZ_U!r=n@@pQ!K{^_ zJtuk#%AVw-5~+uDp;d(dDtw`dz~>KD6}VCrE+7ABv=aY&$E@oPWY7J9)SsaOh9;@R zXc|k)d`5Ec@|$CC&GOJvTsBnxt&Yg^{HKLtsjRI9PdjG6k-+hMb z+vJ;|I8&%vrJkhW^9D?iAFREVMOA!X2#>dLqwv7hs$%5iFEZKO$>77cqg)&}JZ=~1 zcFi=ne(4SPu}wT9s6ftl#^2I zgd|vdN1nS?@b$JZPBf;D@4Zx|spx|9Z6|o<5GuPRh#m_ow-A4HI@}IFtg>8e;C^P} z_fmvmO0{EE%ynOYvk>>6?Sv$7$676^&8R}&iNs9*@SX{%i@(JZ!NY)tY5)&c z#HmJntw1eC@uxq zc_E04*aGf7A3q@`b>mt@V9MPj_~yt=k*M{Zn|ta#SH8!EQNFa}96dT3Z1n%sfCQov z$#a;;kwgZgebV!X-c!9?pcbQ{7HRTY=_|&+Rj)wBAx0OSKg}*^vSk2u_2Mf1qbq++Qq^v#Bsc+Wi?4e{6C7|3*z1!F9vdR8vkx*PH7l9Nr99t9^CKhW`_4UrJpB?8J zwGN}d>CK`93i3a_iXS^N*HJsL_pQW|un1j0uEiy8m&uWAQH*Nb&uw^=b&rKJVK;A&lf4Yy9mJQgu7oe30yGp8DfrV$fedeBl$eyu%#>+-I7tYiiuRy0A6259cL z#tg>=B0_T88a%5Hr7oHxS(;3@)wfNIoT4q+JWHkX{x-%h_(gn>1dX_xBB1x zI^m=Zu&QJ+el<6EkVt3@rd1;s16dZ9DY{n3NV_%Bdh5iEH(bN&IM54u;He&L55KF$ zIvu&}=aN?01vZ{;4kJv&__Y9%oXfNu3;x zr6W=6Z*?0OyA0HR-g3*gTWToA5&}8DP=(qSHy;!fBamo0Q~BWIZo{K%Z;JViS2C}2 ze#PMg&Z8oF86VOdzO$tUqVAIXDN*MzN%l)6hpif zZtzZ1L~DsqZryRI@`aG)8ceY2Y=Hzno(WGN;AmTKJm(KU1xDO_S0(a}Yr=2m zqEXT~*i^^mEB;-ha2JyjbCpnE?sYko@@KZgJvImpb>FLXnEGsjrw| zhu}M8@@YoCT9v-nX$Hu;UQ!VVLz`kg{_k%_=K;33w+O|DqFiDob8=BXKanVi-zq)a zek7jxPylCBd6sei(h%xqH@w*;}WtuRK0PK!?!rU9oxDojVBe-#!Q}6|cO-eAfi*7{W zCv{a({TD;5@yRq61|C@l$H}u-3?v=wE?0X|uM&`Q12~-V;N1;NpdIN_O#VhuTiEuT z5;K3)m)*bZv!eN32AZ*+NMu{MXKRzT2i219LFwm?6^>-I$kj}+tZfd-QAee1LpxAh z(2r~ua;2X~7DhmOpV57(P3!aRY4_B5ORwEvIY-rcm3XB6m6#OrBuB>+I;n-=yHBA1 zHhHTu%4W%^f~bk#>iW-=MXUMKG9iJj{p_`V1N8z^SqgIj!5xMo(6@TXJ&{or!yoF! zXK`_Fs@4r6oae2rajPPSQ4N_+ml_4^rDy7V-fG3lVwK))8oHnUlCqAD3R6Iaf~f7u z_OwE$&htNT?Y?K!e?&eiQ%<~-eBTiPNTbO}(yx&I+n9Wz@=yK6iQNN(_kCxv=n>_k z_kH;`ARi`7)@YnJsOKX$uDN`Gt2iw+@=y=$yO=-V`USON)#Y_)TK&Wz$H^-A2j^zY zK~P#QPb{bE-yA(sK;KCc4*IaEPQ7H(sC$16BWvByO&a)sX7m!5+|kECK->PfX5F-~ zaG`5r?o;-4=8rPV_ z4ZmJgvHipLGJd@gIQ2>37r?CZMcQjuaA-0dp+wnki0Hy{E4KNoJheqjFK@_gjAB@-$(sxUefBx1 zD^1dX6q}-tW)s`N(^3ot?;XDN)_u3pk;rZCPh+P*MLAKdqT;6eJVZBSE8)qFkdA{{ zw?_X{CPV?cbas2XoxG@{pY!O#vB1ISdgn`Dpr+A+dM(S`g+`mH7_d`MNOwlooRml? zc$v>rE(!ZJOt0J`jaxABA@-WC#C*-N4xx-GyEjLh;NplbAAey?_*vyfpi1!({(_Hy zGot&O`EeJ;D}cLE#m3}BT(h)j^h!S9I@~V3&q9p`%&c;29Q9X?a6{zWqf@*3AnE5| z|03E+E2B;8Edq`!>=d?VB5IrywcrLnV@EQL&f)Me%jRAPbp5=SSSg%c=|zIcfRtSr zkU&cyw7soAf*Mjr<8#j8)WYVQ>^hA9E}LNzH4<9T>0KPRi?Z0bRq^+gCtG0G8*Ga7 zM-`5C$H{9#f#A|BOPFp(PLWxK3hbvTQun^ALas9aS&|Ya(NDK(LZv? z5HJ2?P;bl_-#Rqy(QqAu5kj!&eU^K4$U=*FeQMWK6J47rg^P*U81?tlB!zRDsW&%@ zKjb2fAkkp=v`CK6-FrSBDa`}=-S~1MAlY(rv$jxiG!aJPh1t;@Vv-$y>|x@iVShYh zv*eNHcXW7AteT$9;**{uIbO^ zP{DJ|NXnz-PJ)SUd?RTsx;N&O(WaUDU4cGE9`;BxYt+LZ6Bz$sxcTq}y(`~5wr^pI z3tAM$m4RITGedn|*NMnBd30Qfd`$OMQSqVmW|SRO_)Lwv%1&lbagEq<_D7C5{=O!- zmj|ACe2Pq`ke@Yhz(gV%O{R|WNpFJryN~wo^HJx?Uvg-Wy>i)*LZ(_!2?{iTpJIjX zG@&xNPYVT5IQ<_t%FOgc@2-DRkyubr_sXu2Jh}`EAiy6yANDZgyw>ldI~dNGG8cck zVB&e$K~nXCdz@dg{fZ1v4q#oY_cnvC1m^m+tcaH3rz~@13!-8wU##UD2agYWh zd=9olTCU;eER`s0w|`X$R?~RIH>l3L11+8$3zfSr=pjU{wJh`Q1e;ov-w%dO#?oPy ziu9sw1TrRvTqx3?Kw9cOW!|WLkJde^dJ3h)zgtrwwdA1r7$FEL)m8*gy;i&alGhl$ zs&a<`9CNW%z%>3$hO;ew()x`L7uejY9ePU%$~3#N*Cc5S?dGG73#6Zuv+DhL?36NZ6OUNq&|4Sr+Pl|kJl-FaqXBvt>tX5zIoUi^prw_lVj z|B&AygSp0~^I^?=VETS|-*3w7=D}Z(;To35!6B8YBQ;#X{YX~;g@*V-va@;yNHEyh z2>20Kh21tCR`v5~m_w7GOG$<>g4`tqo*P{59|*U_~{AL5cGX1Jj3-XyRk%DZ{rDqPd%5NVXj)S2()JuI$Iw(^eU$K{oq zv{eCEURxuK4Q^aB(8KZh@z%wf(JQ(v9L6}WPgF7xl|~{3Ao~RKZFt&U;{uYhtMB*3uuH6V_!jy^4=d0m67&9@)hnJDG0_xb zE5`vkhy~Mvl59RrkV7G+h?+wgQ}FbY&(Z_*q+O7|=M zbW&}LI1i>2{Sf8)(fks0Nf(^o9z_3bO~CVB2$+l{q6qFgbCvy+J^mil;?CiT-7i=i9Y?0nM+l+dDEsq4VNe&!WSF+E>x+Wofep*k%*W*2nYv<0IGqa1&+ zTt2i;rrFLHyi{6&opTaR7X@dYiI8{~RR!r+@I-m$t*e$(%+Fookjk0x%pF}oq`EqX{4Uy=u3??@V^HvX)>|W!_jtm!?Z-=zN`2G$)aV z+tqe+6g8-B0 zWi-P9MxDa$V7KOfKSF@xyLMDPzqbUm#nU`hgqvWOUp?ajYHfsP) zM!&rVL+dqrhM{7z77SM#Jv)ps1Cq|3)Tt$0w0r?_&c+Xz+{dP9WCZhQ4Zg2ud}WDg2k5 zXykN4Z*C1^*$mvJtPlEE%tEX%nB29IG@|wN2FWd?2mBP2ygpodp-Wl_5)JOJ-~*vP zHWBp5wO5+J?W)3-l^bq&DyuPyl0{&PM_$iR<0ot89@e^Mt#2@a!pbtIE(-Ak2OOu9 zR=R_XXr1v)S6msFH}m4HgL0-=NL-#I;N>m7k@AvN}Zz#5#e6S{KuF=@cpO5eJe%mO#-YfZpqv zKAAO;Fy6r38*=3I(>{D|>EOm;5zDQT*C2Fb#yj7BWc5kz*re0uS)xmIO zI>Qt)1ZJqmhBpOfOY9(qYe;hkhG=^^o$iG%etf~Jdms3M?8=!6M;2gp2so!Eb7AP4*xAgzwv(5YK=- zXJ3I&^W~HUmZboodoGXdTyHIf1oks~k;|fzAi!7#Z0H#~HX2rTZ1V9}C$_ zxW*v!qn++$8MvE8bYxuyjCIwo7-Z$Oq{tBjinMwI?dQ%Zh=~Q5b@ul zt#2@Te~2d1C)5oR0G{jlB8ZQVK%aaC${w`C=(;lqM_9srbVmNk4l;UJ@s{1waQ*eej-F#V4zdk&^XRD$QeXlBhb-a zxQ#VRG^X!QZFM^2*ROEiEg?R1aTIlklA>qXr4s~gB?eujUSp^6t*Mu{R~|I;hsTf~ zcGqgh7%pYHm8N7KjSDpa;fIR;+||)J_0UrS{V{7=BElSjo`@HG$N?MuthX5ICT?T~ z&#&F_B!8E#X>TKnP8aG)>B>xsB(r_fCnVE%W}1eWcGQ4c7Ba6?&HUk?e@+=pj0t^x z0tDb%eAUAY%%brt89jm#C{3bA+lP<0DUXkjHZnwfCtiBN@8QSOy=dvHUD zDOXiTC^CG+Ms`vfC^mgWOKFTrD9#u!3TdK#C!n8H!SPwJ$Kb`IT12zO3POoWRNCTTOylEl zq)eX}H0h{ULb61m;jLuj8rF91m~u|Z)1z{ah5 z?!eZ?oOpGvlE^M|1{@LUj`PF)ECnMii`Sf6W46s3w#&j&`@Vnl;+QC{>0t~Izu0!YykR`6GMLhO1X+|G0X$o9D+GBQ87 zM~KO+M{hsX+5hMRB4(9$NkA8d#SAl49bp1&=f=$;zV`FFWzYhJyXrKHZ#FsB#yv=T~u8T{2ZW?vSiG6IM~O= zlrUXkbN_0B^K>if{2su5Q_Q>?zvtuZ@`3Zc_$^?c1Df+v$!mo3yj6#)TY#9-)AA zxxMsxp^~=qhGp0f{OgK7J^6k|Nl#Fo+-cwRotXq)iO%^6eW#o1z%+7fwn0O*oN#4p z(D;^_lv~3^)OA*^$f)YY=C#1$5zJu;wKdJ-)lg=Vv2A=096z~l>wF5B)ns7S1jx*E z`p4+Bj+(VI&NkGep{@s;BHx19uUt`V%0k2UEAWNSc1v7q-ik(gZ!W-#Ob`9zq%8C9 zWSc0xhY73N3&i-FS)|1S-}d4l^$Rmp_^pjvtejg^ z#)OT<=Mvkzs;BthYjzd`NV689Md8oM+Mh`D?R6={k~atK5&MY|f-&Xr&2WUDvg&hM zvhsM|goXZEW8~KU^TLpcVok-(yEO{674XN8SbH(%v+r(H#?4X2qqBPG)`Xtozt9v# zjg`#~BQt97q;jDA#-lLVq54D7)GAA|9|ytt77^vNwG=U;b;T&v7~^+P3GXy9f)0RKiyr*)lrZ#Zuq>exj;Vg*S;VMtql|pL(a27 z*%&>Iud{9KJ(bbUC(p7EiY_91`MJ2L`R+mwr&bVj>>5@!uTcL+4}Q#x z)24(9BiA|WMl8N?ka<+^bLknuP~@w#W8NYcUClTbfz+7z9=V{f2h87~#xga&OK;j9 zElP=l3N7n87%#P$SFY-XRhKIfAxf}E0fM9q-Dz2b z3d7NGZd5jrcEzaRP6jY%MI3lX#M2-|RLBc&;gY^=@mDJo3XBtue28c-3X7nARDuqn zttO)T-#nqAB<~B8LL1_tww*KAHLDaA5c%z_tz_}}W7w}57(7(l zz7o9rU@2n>h7<8yfINl{zGYHgMu>7V9OGTp)yOpxSS5c=wnscB8lTVQ%`S~J{prbo zW}&N<)$5u?=9+8qBUBwqohtyAoF?p5rWW5~DX~M-Sk1mtzpDvXJ5(Y$dD-J(T7X=50 zZ_GYDD0wjJc3H8I@O615zvEuIq?aSP1%(*!3!AklGJC)uZ*W2=BwW(nvQK9r*W4*E zg&&n<9Xh#pVO8*tI5v(uhG}f^azigi!O`wY_K%DYn00E9@3OhvP8$+p*NQsh=+~s+ z?5$MG4(}@TU;=B!qBmG<7=7T_2&7N)RLslV-@b@-!UbP4bp2U1Hxd^Ms6xmS)S87> zNP3@4&v)^Qon;X*t1Gj8lEn$Yar_Ee${df)Wvjuc`N>%~8q^>alJ~&Rz8fXVRYF>1 zvaqnJkZ#HOuU85%xKs-T*s>||n_S3;wOyck`3fL9k*c!x)bp;z`jf&OK|W4m282&qwqJyBflZyNg(MOI#CXrSjG5^^Gxx-Xtya+f++|zgxw@xaI@*{SMu0&8@8fNnk!qnegXX>E}b= zbnv6cm*{tt6xFqJ*{~tkC^udQfnjCgae6-Ri05J)!|>Ap7que2mOgXQ?2774dCH+T zD`w-%pwjD9dj-F_Wlu@7M)C=-f!;_y1xyI;+6j@0k$*a~kMtw94I zFwfY2*Bpo-VxZ0~szAihyjidcwB=o?S1h}uA5b?9DyWJ!V7DbfX1gnDJyRvI0qr2W z6AsSSqR})dhJg^j2F|I%v{7b3$|#*+9lUcPR#o{YRY}VPBvkieRe#z zxwNK2BI$jNY4J_jl-IzUN2V*&tMU%!?u%gf(N2+<)goErn|PMO_Ro_b14NkC7(V}= zg?KBh0cs<=MqK)bYu2e3{4`3mB*eRWL&ZwL+1}=67n25SJch|33?kpG;k+5U_EB_J z6>E?dsxz5mHxc7}KzVUA?bROma4c!~!oxsW+eVfp;d6~NDd(B#3XBj+f`pXS>KxGq zjtu^D_3p@Gmi;iiI^~&KLrf}h-S&tRB+99)0w2Fc(=w1W{B>`A^ROa|kv7-S;iiW= z(@|uZc)I6@yD|A0t>rt7G+IMrIAP*JP&SWz+Q%Gd*1OXG;hQd}&|H`=dM;&hJTS-_ zom10%0t z^!AEom8^R`0`#)JF<0~rZT`Z{kOD#1Xr`~1V{4~&h=AZH6c?NO0Z16!Xuuxk48jws zbuQ|QlD{G@oA$lF zq|3RrMtmf~Oip@h+uOwQg&`h6j^UFSyjZ(h5ceav23YXM66?J8 zaXN!FiaC6-t~yb@mYW%iWUw~w;MktmTlTI0r9sG0Dn07TyHJVrcEoRP=)RB}J5J|q zk1-@z|I zQZ$SQ+hS-{4JV?nC&9c1c47I`QB0KaqP(vh77cG^J_%RJ?Cr`x(LiSX~jNjv0F-H+OY=Q@NJVKG;G#io;`4 zXyTbH3i2wzx1N9~o0)K1HgebmvR-F;kAi!vfU9a~nvu;2z^<2o^N%5*qlzB#z5j?b zj=b2(8B0;!5JKHegM}wDaf5&_`_>K9XJndpaV3@^EanTe2hYLocjAu4i#`5r?19zj zyF$Aub=#DB8+|X7*7yLO zsD&lWkq8bEKR%eEZO|%PoB&AP=voU-C0gXqf5sa{!n1hA+TS-{;B9v`blLW7$`1J= z_1-wZSM9H(ARlU`(1F7Xx#0Jf$$9Woud1qfLxPc-vXPVIbzCS)_Db{pd9RGFw@-B2 zhK3g^yDs^(h<4=Jt4;fup9qnj6($?44eyY_-e)kx3RxC<_|e6``=*$*3F%!QX36It zRykn4vwWlu5?Q1cb_-pmioy1PdDSW4H8n|aLjO<{3L#55gZA!|arJ-@B=sQAjF?4? z7?d~@CMRK;Y+SA3O9vZ^TPpeI<6_A0fNamA?CuRkq?LGqh&r%3WJe3)yjCF~$ulVu zxu#sy_;+fIa`!k(tH_NEza_0)|GrIEe22TA*1*ms)l5FEv(znJmLH;^4fm=P{%-+) ziEc%h-_^rUrC$W7O3q|E$gPy1lP>k1Zx^P?JNGC0=%mWO?JvosYuN|Qh)0I(QWnd< z(E7g+&s|}xJCKFPew4j|es5^^z~SY-P9d{N*CFo7bMg~M7%!(+newvq44Uq=L)^>a zKMp-HIm}Qz6S;#pxyz42@*uNj5Vky9$Df!|(n^+gum)y#_I;i#NUfTW*nPvpAUcOU ztgpcZUEPFB!ZjrNqef!!N3DkzNw{ktwMQg?j2V2ybd1w!%> z|E=*EUU-xHgFu2`s`L4AyX-kQj9feHmb7QeQ4iX){R{^tH+tcH_JhV9dqVrlZk5b; zR{VBrNnZr6!{k~pzan$2j=sKZ`i@l z9BV%Pv)Tgew8zu##1;2FA=}qiv2P2!dMr9Pl7#!~m7w7`#7Q@9uiEhnzsx?{sK7() za2_@~J2+Dhw@)1;Uf*7*t2u`G5XV0+tT|&H@rLqlTY@r5tqo;&+dT+0^te0OKwWR0 zoKC60?T~TVj(k)7gHC#u?m~_Z93w_f^rk-@qWxZb4l5%#=|4z7n#Yo5A?n@TUh*Ka zLCB5DGSb3_rBN##v$JI-=V}^VFo!({kUC?cfixd_=Xp!V)RY`wYk8_Cu(E8ac@i7z?<%GLu6z+BugDD|(_MI^ z!O_w~nH8YBaQPqThHy~piFq-8{1dWWd)vz|#gISXz-nJK~{vmXh{42j4y^N}&AdC7=;XfD;$$73K; zEM*8)zXzLn3#FAAao6xNfwdrcN&GlEjOTh|CMGy(l^og12U-}LqDSu8?vB5Q84~M3 z?3E%AJmqFGJx+M?z4eT~W|u~#&pnqDh;`DYcn&3v*QKL6oiVs%K6d`1EIIs+v}mgH zGO2y>Rf=OpuC(pNfM{ts4SgfPRNT3z9gI!5HVnVzoCHhP9cYX7XGA1{V|`nDX}(^k zVC77jS;q;*9!&eNmxYIetysE4-n^1^{fRtTH!V@27OD7pQ^>WWg07n1W7Xa&ryFwD z<3Lc{>1*Mp+*WyzJiITFa}M1)TEdy$zTU>VE4|U0O8R^Vbamvy#U5P88Bjy(BM4G< z;`M&vV_(cxD}YCYYk5{1V5*KMMVTmtPUk}`8B*acky{Tiu;AjGd;vA4)!4db?1nL5-Bn&E^%8nXMw@Bf zx{<}>PeLn4p^ZDwpyFtJq#irZ*!elR467(?*EcN+1$`OY(@I{B&pU|4^#2903{UeG z=YcI4ZZCPmwCBwDszb6`7dP5;fe1+(g!(9^)#=fHc75qc^vy;|uv4rFX{Y=qZ$mag z%#T!Y;5ho+VYiGPQKO#6*2UMjxMA~gl5NjC2QkK zH4K{|>=MJ(W)e{1N%d(z>&>80iX-3xPyww!{;gNFESa(CX;O$d{21X>w!b(Oy=f4Q zm-}{f-1v0SDA_Wxn6yGi&jPd*y?XTq!3p9q6i8r1GlbF&(njB?9!>D%LoHR$DunS!vJk;;Qy$lrzD{m6{`z%_Tf(LLyjl`vhZNiCp&(~qFl7|Ih*8P zfJ@>|TL|c>09~3P!%(P@!y?l}7Q&0tto!uKsaMp}+fq@#Ie$(1ZgxqbNf_(3#=c>% zlf#a+M5Z+VD)#w)9?43fNV+HjZVlbCp3Nz5>Ug?R3gWTB(189(v|=L?zJ1IpD-GrF z*g<_gOZ|+E zB1M{1rKyzAJ4jc$RFN)KDFG=j$QSSZ-kCdd@60>1e|GoT-81LMdG^P%XYHu^%9EEL zgx%*aO4K+{eC3_-mI7~cq*SJfZDTvKoa|k!B$CTDCJimQDc-fL**GOF$p162tq&QN zY<4nHrUaZDrlDrhoUORAGZW)97Me2cb=qiFqn0U{7Vst2X(wazf|aEfh!6`MjOthJ zFVhdcn?IxXmM6=K_l|ObcObt8X-&Q1bMBuh69$5{2SEPm#mD@-7j*TGkf>FQl!O6Q zgP<<){tn!`Gt(2=&f4#5?qs}}K+Xvfg|mtsGf3WXGs6F+_{6zFh183nla$SXlvltJ z9xIuqwPrAw#AdvKZ6sgAX_EY;BWsv-?JmT#MN2b29Nl*7*gh$s!OlqVzpwPpamxDe>7e%x9dyjA1;f(Cmx`G zw@|aJCPAS88TF@$ac#5>TP<|bb}^Aj zq4lV1JuDeB=WRE#M}7u(lvx&@0+mb}2*H$T7Sa#bswJu85%ha}Hu4RAE2>{U|Ng0u zOyds7d_bque%_$@fp+;)eLcxv-P999W%m=jKtdFOk+f0MuyT7P?L-n`l;+Hg0TArTV~iU#Kc*GgS`m`Tz`CN@x0Whv!2<8CFZ zInUsXIH!({eT~tr88Ye(PmiPV!LogCdR1Xt?tGKGYr^(EhJo2>j|6fM>)J*aS*Jz7`cAT+nuYK!(qRidhxwC||( z7xa`r8HnComu5ESW2%{0&)4)WCYMR=Jp&uzUl1-&@(x&yFq zH`GQOsKE~}7cTA4Yazkv5@;qDr?}bCsIQ^!4sfr|8WUO~lweiYM$x;;K78zKpfasD z*d%c1Y7UQ;iFaj!`bN{M#p}MP9O=>d!JfTkx!RSW$Y>;7|ERtEvY!6n80dj`sskm| zOTDJhj2xt5?grrMs;2MbhaNr)vp>oPjG@T!gC@`=Wcvm9b=FfHe?Z@mNgJB@z}Ic~ zMJw9vn`HyL{(+BuBb*YXSvibJSlj)O7=}@5iwTL95y;w`upAIQ=$Pq z$*vy0^`3nqZ)++)NALt^d7gNUh4vbC^XP@S$2xnXZPL9rAt?=)2H`XuU%O}$$KU%7 zuOwn~j+R6`?wAW)4)u|R#`c#F*=uKv`;rqC3MI>4vWUjAaaYBTsr{-@eHNj2KS4CV zN_z0YtzrbMv`qf2_^$%eacv=@OiOoweh8=7_E?gfj+t-BxpSd=H1ShThkP2UHk>8h zvnr}VuT#Y}9(+L2y*$S18wiqM=k?Lj9bkkMYw9}EgzNEA%kq&?`cJZ#A0oQL%;`6{ zs#1_bC1J|;=RS7?fZy_-cD9#Ow5xzyOaCfY`3%+2=1Aasq1QZcbMIMk-1SN7*J=9s z1BToj(+mRp0a_gtTm^+QT8+GB1FzMRR*sREF@7ut<089{LNUpkveB2$K@v_$BvUQC zN|4huTX52|-(}^UJD=7lJ&$`=W52LE`92?2rVcKo2T4|K)ToRWg63i;?q!waUr&IP z8JWb7Z}W;Li@u{^orw$uk&P|KH82j&AM5Kn^)%u*Q$A-{&!2soo^-g<*?&o#>Kl4L z;q<6doT;8bG%_SE`|t-hSiY|RfZi`h-S1j9eTMwEl&5G zc=4OS0@+Twxqk4$^irVRX2W96V}IM}poPnKG8LucMThge9bEb5DH{g*v!YD}`^Vm5 zUn*^Kwq5qZM-}wMp0op+Imt>O`YXe`z;Mo9MbSg0Smy70^ihxIT^!)Wr0~n3FEMq~xmOO~u_%C&Chn0{-8@#L$_i8$yLQ1}19KwkDFBGS)D~Hd;zNF_*FOgE+rep&1#F$JbriLhA5ksVs2e1A zlWZp<8I2JIpNsR!%xO%|aOplUzR@4A%Zy?5H&_L5h5c^$%aZl3_2(^{z5R*%F3a(h(l0Zt3>dPCQa{ld z-%w>TezJ0GocBKrFisES<=|_N!TQ&FgxI7AF84Wb0AU{FY`7h#4l z{CC&I%TpDJMF9j=@4_HZ8HfZ74uip^A>zVNhyVm4K#0@!a`>kZLktp)MmYe$>PUAV z6eU>CP|Z|K-PhgS4(aLn2aBPziw}U%{*6flV2r}}5RL}G#h~I)2^pBAgeXi*@^7sF zLI`;1;)endKuLiBZfGRd*$0IL`2GJnNimoh97HKE|A!4PJ6B5S|DeDy5RC$Wb?saY zupX3P9RO5@60Gim@xcP1aPhxg^8ip7MB-mgd4NB&?pOj$u(~^e3ssc8mjmk0-ac3Y zV;+H0tU^6#as5NjgMKbI-g&2br$~e0c5#vp1slb>?YJ@ru;|v^DCjNz&OXYw5Ro2R z4^orb*dWcDY_d4}iX~2VWl$Dn-N$5&2+az5^^UX~N5%Y1rK2#!W~WqIYj-y{b-P$= zUXA-okhmaot<7ZWXsG|ULLVEZa?F~rEp?QCaJJLsiuG4j$VZn8#H^|`(5C6AF4{=* zVKfW(#kP^@6{}lZw~A69v`~rGM1ro?C~D4Fw8MwVV5>qzou!RgipU=;;=H-%=G|=V z3wAB#?nwL%{HhCVshVoT*0*M{X5kf>0t}`oJc?rq1sR=qk;t2V@3K}9$*OeZ0UMGb zjjg%()~?lQpQ#?j>ZzF};jlap5+-woZSU+GSfi_PB}D3LD3Y<|E5u%-_en~~AkUmOBm>JDmL1s?(I;b06ARr-*P7hwlZP@76~~%V zsKxdxl<$drv@DQ&Hq?O};;Wwp7B2nDjPzZosx*Ju37SW)p8aT;*V)EA;yQCR{65qq zn1u~`{kd`D{QPixt!HVWXAh>_Cz55@B@R5l9ZhQ}M1$B(eL2JEmjC3DRf2S+M?5Ip zJ#Ym-fMX_PXFI8{{s03JeBH3)+2*kw3}4xS*8l4)6_VkEhd{!ZPJG1xeK#;2H#W%)p9+=(ez~A zR~gs@COALL{pqYM^VwO6G}TaFTi9H*x2-~5ZEFku&B5wEnfY3te{i)`Dzow~(bR9YYf2~Z`VIaWbTt8jpB*Wa&MD)Sj`nJSz=k%@C{MVZi-^jiP z7sD(4by&nnqD_wSzf6{7Fx|Wu-Y^?YzrqbVuI=5gai^&wjoU*DtN0mY23zS|62H8n zAoX)z)V+Ay5xBk)xLTBn`hs<$m7ic~S{$ngY@qgHF0{)A^V{;bH{;QrA4sw{MG>6W zgP=={ZuV~Z^>)sAl|;%!@x@9^%IkUFA>u;aY7;MxMCl!{-6at^;tKTEos~n zJ>$4(9(rLOB3UVr7{_IMAO?BI0~9Nn|I#3BBWtG+l9_Z`OM1MNqVSVfuA<>VX zWK6M!``{~obChEpL;gpa_-~CgMW7rh!4EtgPyql72mmHyMF}==c|?$1f@GQiET8}w z07@7`czIy~FiC>OBL0LsdI4a6a?YQQD!@WcSsV(7%c#M{)u56PDMA`ig-9vG)!@(|_egmnf;|J%Tnpw0g*%uM}5w-gl_RmVIRq4MFJszAZwq@>6M z))~{-sNiP?^-b3v-{K@y4P`G%Rd@Xs{Uqlj{g_7`!-L`%4>9Log8P&CaWgAK0Y`s`KkaR)*{p5`YYKf{ZkUAlrV0{X|Sv^~Y6KZa!v$+2T-|q19cD_IG zkHm=OoOX45tU!!((8i>Qs4r~C!svtd(^Q@G}*g`8>AF1nGG>ZQH)=(tQru(rHpMf3)%dNWi)6&uJ z-W|OIjcJ(f&O6tM5^ zwZp%w^z>is?p<&9-{!@v8!R7CeYF=T`tGpcm3DRR;O4|Q?(FEc-rKRAD#_9POm`C( z!1aiZ7rnn>V)za>8V4ipr|M3~=k<8y^Ty&=fQeGgH$7yQfN)#Qr(%m>amXJ{e!FHTEri`H+4Yf|2opf#S}H%X5*-#*923)2zFVY5l~^H1=%g zjkb^x5NGh$p&5*4h7E-%C$!mZwk~o0{B}}aF^ovT(ed#Oh$4FIkg_R*93G{TFBfb* z(9E{@r*TRhl|&nDAOj-KOtG;a$=U}1YzkD3ehT?Z@=@9Hln zDN*Z3D-OB8am%N+LZOyDjx&c@Ncy5{a$(M=`bE1m=Bvne&^7MRZdg}I9kVhjuP$Hl zTdY>&s{eB;SpXXc|65LV6wytNM}Z1nu~I#silUm-I?U4W!g2e(xOBDOA#1yDA^q`2r54s##cz^jBw%R%v$N%;tPd68(8v zk~6P-vni?*9X_i6?&jpx|eghz5paEioWL9{m`~=~JJoQmb#VQ7%>}E<^z*?vKzfPz2QWMTe zeLYU1A(I0VHFPk8JFn);?x-H_l(lM4X$s})d5{~5B=?_t%*aEtRUMhzuenBc(~w21 z5XYeal!%Ymt~CFXHnCB*c&Z^&VFX)w* zw#{XVW(sc{u#F4m{24x%`Oe<|B_Iqvv`Qnn70tFP!}0 zdG;QlRaj$Tg78$Q#s_+EB`rVnZkgNysT-Nf)a^mMYtdH-75RJ@iH=Y9D`|deF zbiiEH`+b?Juty){%ir>60<3I)t`iLUWeFA3p4wtyPFqC^dbPVHR%n!!C9P zwMQkWR4*jeOGj+GZGPF&Wp1k=EQo!&uXmh2n9$VNOjieGuQOOUrArdl@u4Owy}FGz zKIGr5+(rk~9k_kQp{M(FlXAys4wOLCJgnsYdI&IOc#!2s5a{VxHClxKYPtD5r%+P# zn8ad42{h#!*KMnmtV09aGHA%9&%*xUn(t73Bg$& zNX6%oyW%F%?yVB=P@gm$PK8@oa^~gl)Dw+lkKxI zwq@3rv%9t0TC?O=M<|*%@%!>QolmCIk)A=X-zn!U<+Q@FdTq1cr5lZLCwiH|L*V{dDNI1 z2>*|U#ZBQ>IqQmD!zV0iWr6)Y6}-Wy+Qs#^Zo3y&V-8Qr zxi2cVBP_c+s+Vpbl9o|_lL5!&(z;wkF#4_FySRVGPXB4xZ$ya$mm&L=N0YYi9ap(7 z`BBXImL$Z)LsQUKiD^u4;q`hn6%eelh{{Do)ZToD`JY?$Oi#tl8ROr}6I(>F@0Vpi z;k#YH2LU86sEK>vH)wL9r3tjDoyq?qhW|wWMH@`a|2uZDvM~KObrAmlV@FD|T-+uh zV%Y5u+9D2rIyjDvk4=@^a(N}{@+N+x_uVL|I1{;blKAJX42Wgtdwe6tEbNqZE*3u& zZD7BzXzf~BIJZoIaIWDD7u28wfF=FX;zcyy(HVs>y%D+fQx=YvfoY#d7gC_e@~I;7 zruPBWNe4Y6zzUc?(3}d@G*(w{xgS=J!>M`V$uZF>$PW{jqB$SdSG~uFG&}l6#63ya z;c4B1&KpNSHR(*o6<#x$3O)90JAU0io_H(+hZ1Zk`cCj1k#icnvTJ4ll~>|bL>4@; z<@xB@tA~K`x%-&}hQ(v7)#_Bf0X_wlBz@!zD{qas-xRQk6s`1zz)=RwT9o9 z>IWou6u$2NAV25-CO;D)6AK5||1c;sAsZJX^Z#W3VbuQ#3E4SWIsb3rG{ys5Mdf;f z9R!4Udpf`co^X46o0w~=zn?L9YK|~xfh>j)4`e}-l1g_08d>^ZKmgQ7OmFXL_UqTL z)^3|w4c}+S?Pcw0M=f6yJ5N*~Q(qy;AaHe9K+#($Sb#E+sjjgM5g`y1DiRP#=>7V- zTs|e{n>`PI7uFi+AF=+DAJBp;;8uwOTk01|Rz(b8NDI$FAYo!4A|@&#M=C-@LRc{A zA2?ADNnn+$p8QxKUElz85P0!}CK{40U%q_#8A_L&K6_vtLc4(Y;$qI-TZe!`oHbDB z#($tL*Ge-694=zC3 zAS46$dIl2xbqT;;FLrwZMSu31KxMNF#`|zbp`a!R8Wg)k1lwNw&879Z->f)%~dz5g4I*ZhM3L;aAaO@4`NRdx8Y_W8?LWIlVezG6xId zcn316{TVG#e)??X4NwJ9DXGZGslk8*KmvRPXM*~m)89IS{dxSe=2^f#x=6Nw5uY&k z1S!Fye+FMAHoOCYDG?ML@_+rge>w&+kU=#$ME|jlq2** zhnMCd0=->6*6~=g4&fp>q~G@K_r+-_P7e+)$p*j9j{iDQQxW+9{d^530{KZX5eiC5 zO2QJ-(?dgjnd5_cpXKrYkf@=+3jvY-T4D4k__tj>{{z+W2OETYGpFYR%j_@!TJ4MY zL8OERD_{`*HShd|fB$XxQcwL&Is4sC$fSUM*_?gG*!#WT>=H8U^+&Wg@hY67o)gP& z0s6Hs=Xzr}zX-xB$hG^uUKU+1TF!@Z7iP)SKkEg$`_Xr!REE0%bz==E6rAyIIAQ2I zXXqKocc=#j`Sbl8A|wGE_Cds{ZZ0a#)nnT>f@mt1}z1&ipPCEHxp@cg2#o}*{ zw`KEuE+Op}%f?Eg0EbRZTy_F-<_XU*=8NA8fYSubQ3@KCzt~gaJz~K7^7tNtnK_Bh zamj@X#H}ugb;TmyBCUJfcf6ItbUX_>A?!g=@=+K9@+C%SPTa2z z`5R0OwMF2x`AMY+AL}QcSm#-D+6R0<bRQJbVoSLQ$CE1WiPB-c%Wy~jY)=&$5Sp`*QX`N( zRu{V8r5vH;6n%{g1A4ZxeSUb9hId{mXG@H{99mMF9D0}}%&#{csVSh*BYqGj{mxV= z$oR#EBpeH)^M>|n&)BU)l(&y=0xi>lY-oW^JKs&FEfm*i10Iv&Y}I_xuo^clw;&bxQJRm$m(6CHK5 zX`cSfYtKf#bgUw@GY`ymN2YT}tuY&(3q4PpO7X)G+eAk1=gkn9^v8Q}wWg`G2n1#% z>-GWs&$Cx0A2ewKEt}!gFzcLd=Y%@gw zR&g|43vTVwCA;Oo^C?<5bG8==N>f*IcNf;NZQX8x$LUw^T~Z2MP<*Nbk%+2MsR(C^ z=sZpi(H6Z}_)Rq^dd{zrO2q@7K42f#a&$KYV9lU}cCFdKXBk6g+pg>`z<+D{Cb*+F zOIXf!2HDw9{YN$F?Z%Yw;io7+w0BKgUrf~fd;hS9&iYZ}iMpWEmUBM!Ree&PL|ZC~ z7R6j5iWXKS&ebl2!zOg|W~Et`kagkvKD6Ao)RHR9jjM}?*Ai5Z2#R60Zt6K5E2dF( zQC=FMaRb?$akkgF*w$n)ec4Z$4|aiQgw+Y%YoIvw_O7Jaj5wYHTD;uH5{{Bi^Jae# z#{4d5ig?h22!*wy(;IRME)av!69REon)T8!MlN3I+5A$vZCozVeXh~rTKc=-91MNB z%aOrc&u_Qz-AeRh2%XKCK4+QlgUosEZ{VdKS)_S$w9iTHd6Uj>Kun!J9O$(ee?`hr z{X&;KnNNMyxnoqB5*7AIKu1mNJch1Kky5S-3J_<&Wc+l${`0Q+RHUV$eaq7`T z=fqI(W3<*h&84axWwOe87ujP7%d!Sjd%&rU~y`Db} zXR3gt=C-c~*&IS4_>-hJ_u38ROdCB^Fs$X?p*q)mI5;*M#!we8rne|^JMw&QEJ6%% zLg*_!k;=$QrMh&C!}MmGHU_FErDzDu4`4I7Dhb)qg|mzjpq>%%u`w1aGA0dth7jRM zyIhunm>PwZYBSktMO~rnxbvS1u^jl=Rm~khCll?Bmy<9ZV4KZzC*~ZHTh`_iTcl< z5V_6Yi+2|93yr$H_Lr`LBo)&HGFXDBCW%MZb+P75%zZ%+E{DDdQo1W&tWj=teu%^d z=XEyn(s)|{y@^C{OuG4wrfYmjMkEZdZ=R;ISLEf~w*TWsQMskFN#k@LTV)lYy=7#_ZC8u6GLw_F4ZGD2$NW|xpC zI@0ZW`D|J|@wu6*Yma;IJWUfy?LGfCu9Jp#vfEGEyoep$Uc0AZ-2(wkIoO?X%{ozB zP|VUOjvkAQ497kYT+mTA06GR~hloGub)KiPX!Qxo>Bennz}Zc%+SzGe4{EXT9O$Oy z*Ps~clYp4e>g->(2lWkyV^D7ULAC}FS?phFZWgiqtjenYFg#6@AV|vTJQ$Jl9QbCd z==3k8m2QAZd%QX!(TKSl*z47wWG7f5v>*n$)&S4M>aZ%>ZQU>MY#FIyz>rdIQ}7Pc zjknn$Q>zrqd*P*x;?%2-wXB=5f10wX^>kyC<5$8JaFpF?-&5A}#edh%T+C{E`jajQ zV<=86%PnT<5qOGTQoQvRc+T5vmAwji2x>=9(3J*$ehu%g1XM!aOgFe7MAvC4ph2z{ zR^Aul?9|TFH&fe{w)C8f4s>3OvDrb_Fv<%1#2$Cc}-l-;oqIRIbY6Z^((GAG&vvG0hRo=@Os5Esm^`^6(e8 z0j6y49v9g*ButCsCx)50X7& zR>0VB^+}R&h)m6S;0sqroQz>tKOTQ}gNzNN7s4#sd+}nP5 zQ*4sFe1_EIj4CeUZ*Tk_nUYSRha_%XVfoS@B0+ ziDu)eEw>2YvAS2jBZF#_Y6wT-gtfYB+p{O49lkV)@vv-46$5&9Zu@TYx?I6A+LQbB z&Ain#yAV{yPe);Ew@6>$73HpCb+lFnSnYgRA(yP1y4g>Z^e{)q1giAHUJ!J{2o2ap zV}|xVA2Uj3D&BrdK6lgwdP=97O6(ZdcSIG{5D5gx4<+@=J_8+NKh(vhSFW?XFVq4^a;LY_X4V$n-(ix)noljb>^N} z-Y0Y1vHgR)u94zJ4MYHAuGWVyOhuipwo@?Px-zdZ4ReAo`nqwevD9**TO}!m<`>1vLqO#$aWfqgvyHz9%s zhMRBO^UbMF7q2L~R>qo^`JEqEM~a%6nH-4d7ur+2BsnP{oI%<}DO$MHqsqjC{)r{~(#LT|{Zrjr82Hy;d`B(MefKft=B}(^7Zz!M}^5~F%J}73to76 zwF6oSt~fc6Lj&ehHc8-MkDQatB2!91GuQ6Ew{tO!MbvE}y!F}b5$PRPL?tSv@5@rp46(++5mf-x(*7Zi$W z_v$8nO;qq7?(-zdSKPe!s!~Pxv?u<1c+FznNn$jEB3A89r&5vQ+|Q22j?PBS-QB8^ zVSWf9EtonhDLpFVEOW~2=xjd>0FVF03@l5vZ>rTB7Y)RwVNJI3-1n2(;yDXM(vpO( z)nDYbRsl0KslT23-bZ1#4*uvJmK1N!Z&H&}Zl{MK?Kw6YLL(9s<=C%IdH(xH1)ZKI zNH$I|enE)^c`?p>NW)2Wh;Bv4GXxm{*)7ZX#dS3px*t1-8|5v=`VV!*6ja9Nj3yIk zU`~YUz8f=y+S01s%T4$Su`23u)rx;*I?gZae z)zqwIBkPV$FM-qab7%1Ij+8gbb3+dX3$A>I>XHfHRD*wIbVwP(P1^2*rX(hea zw*=JP&BR3g_?dczUxz=klDTSF!7DJFmBFM=Y@=MyH}|EdsN9VvXva~&VOLm7j$t%p zBa47R+_mFXJ~d8DSF#uel}*ZMjr_NIq>yZV@Nlk>s-qGgQ)*(4)}b5~M=!i=MAjlM z%G96A8A2S{^Z+26E?bp~IhG-Fn*&WjGMhUEawq zCtvA}V;s#)2&E$kPkPz*CYmmNYRUcv3+^R-87%Ec##5d*UZHL-Y!>WBp1tx*{At!O6)cbq6(y}*~hEamhiEiAH$P*OPL1i3)Y>NLK`FY{Nd z+tP_2_wSU^(1MOZ*71k{9;xD`*n&p=Cj+j59hLyM=9uwm&LdiCq;ba zEjW3LO;E*nHX#>Q7(L!G?W;=ortt$b|h=?P>zkoOnJZUdR?~izXI7Ldp zIYMZ>VX>6p5i?YOvd4H;u|Z0r89vTbDFZg+x}McshinGDf^7j6K=0Y+yjO{sl8YgN z<~@e$Jx_{9ZO@?bZaEe_Ede`#Q@%b)p}<6@i#Z99%GGSf8kZZ)nYpp3w3Pz9<}aWp zIz-Doj|qW_(hpA9sgV&>J&ha->rB__$V5_eGfB`|aSiF=Gp8yaBmaFFPfzX1Ue!*W z6XNWoB{_`{l`K4hYP^|W^aZ2~J8Bj4C`&(7My?WE+8*qga*ay8y=vzTceEV;5ue|| zdlOFlwc-zK98Q>tdWj%2BaJm3eMc~}58-)Vmq(XLwaOF9ZO`NlGAo=N3D9u*E)HWm zjrm)tY@@g3@mn}xIGE9#7-LxICsz3%dc-g3B8D@}y;Ik)p{vRS73~s$v3Yjv7r5Hl zXEAT=(QAQ$J4!2NMZKbVFWv-#pGnjAVBu`$(Oq?kiZI#rM49AnUD|K|oSB}f+NR#r zHO#1(Y={Qdvq|(t6;UwFSr)bPWvx-$kAwCNHFDcFnVw6*6IQWY48oAtIJy$)WEc7u zQ?Y}h%fdEcn143wsHZ-yFnE&a6d&Cmi4FufGSz>~fTFJKxG?uFkTEr}vGAfms=1uXuq$K<-&Q)5+IZz9mHNO+_$Od!c3*x^|`HirK%gi zSEE83a;sqIw5rFt*|z4vDuRwSo!3K($iOvhd1rl|KA%UBGT;++4UpN$QGFR>1Y>20 zKdg-9O;^QVhglErDf+#h%*9)0)XVUeF7>~(>L|r*aSD5hVNT6=*UiNNw_E-+Jao5V zfbCpvsZ?vO<$@x4&YVm^4?LSe$3fn0O4VqZ^Sykyu%pIEC-l zwtph2!7ymyC*T_CR$w2d)uT>wsj^@>KV0aI2s(1$qVmudk)Cc8_o{Xa#=jl;Q{lU5 z*hr*?dSBVg(q5Z)$fi3vN9!{g1+;s6ktB6Fu?*#K4;nhu^O&uz#^u+GLe*rmW>9cp zx~e%}7Aqe4>8A6I1pOn`*ycNZ+!T$6Xd&=I#uwc<{-t_jZ{e-f4@pM`nA{9O1jUC~;V|TmHB!TmCnBz&qB}ZQ8zJ%D7>PHRrtWPNixqUh(N`Q$_8-PUP{$-0*`#zbx_g@$A#r9s{T) zw=-a&l9sDheV2h&HlE_84U*O- z2{`t%N2^|DGY3#9X_8+o+vH>>quipe$+nv|IHM}hw%3W0=fUxt&@AL~8{l}VtT8c7 zWZqbNr|CLW;N&wj(1&g@*4=zw2S4zd5>Mwjs33!c;LtY3DA%kmhsN^z7;9^Flj7eC zV|AZMa~DIeOW5x=YBX-u49Bg+3EDsj)4J^jQ^1>-mI$$h36>?abrrJ z&Iqy^n70mXy^0y4FB#vB9GHtnx^32WXfzKri)lc&?Pr?N8!CW__rUE1H__s-OBMpf{=3tg% zndaARLLwsd$7eHcZLfuv>mSn@oD0mtxg7XV@x%0G&(iCt$L=E^z>J9&EjTq2?A#w@ zS8e5TNyE%`G@jcOsS0b7%UYA~+(&;Pvt|Ly|J^oYX8b?dX6(#N|KpA^6LPY0ar{sA z|FzAy*w|S9uWhqtaFt~1O?FvmSTaI5W z5g0>44h{kg4i1KZh;wjQLzs7MSOc#=j!t3gLt;Osgoj|jBsZpw2E#o$nS8kAS4J>L z`=Ad{k#|rL4$h#S9UY;+V{}vH@|2>VpG_G4v4^kI=Z?Y z{cbZlFY%sxp50yGl9AJ=$ux($qP_3@5eXo!t1B}}B?>z%~69a;tRCI)I zy#sxl&aDnXT!h&j*@mrs+F;-C&H|=f?IqDYIe1{P4iI0p3g{S`5qAHaK(HS5p5i0Kf4)BE2^@NRX>JVJZvQg zi++F02izF7U;E&0s4j!r%lb0EzmfZY+s&-@d;|fOqI; z{mxKAw$-di!#n^B&G`!f6GFW( zc;t<}5R5w$VEr(75Ul^`#}hy~ePDDW9DgxTLV*$efZu*PzLy1iZwk0)G==so_C+3d z%*K5|KI~Aq{DS^kx1!U_%fGr$5|+xAME9Y1BeTRC?S_e&ep$iC`3awkcj-Fme*(~mh(cL=&)zV}q1(-d>bR~>I$ zjlmLU%eNf%caW<7b$rm!eSDPyd4M)D&kaN&r zOyG92oGNZC9Kj|l%uZG?PTn}H81TmuKLMBf4cOo~m`5B$yJdEdnlQ{cjF;_r@bQKf zXxb9_^VrKpq}>oTedpf z{gnG0<0}WvwAcAXqH$h^W#t#RgitG#I78^YsJ9p5Utua9dHS4AH`O)t>oOicbSFJ~c_2{J~$ja_htSTDBbYZO%%7|~gpJHQm6 zx>A_ML&fXm*c$&!y6$m_#pjn8%K??GvX&^J);T%nF3vIVD|=Id`SXbCI`2~XAyqw9 zGTp>3vM+SO`Qa1Bi?i64G!RX>ahP;+vfjP}X207QMp zk)Ld9LxC+!;yX5PvPA#kgWI+<^R8z|!=MaPvJLpKc50g|JT?c^zc)!zh_k%M!d)E; zE4q%REUp9mtmo3A=#6(dkz`2i%#Ovl%bqVskEo(!HEa?xGVMi9(0h`&?3U8_jpxSLQ8BmdmF1k^ zkYgkwtujd7-tv(I-dlS+HtutcT|~JgC5ma_-i?q$BHl!KQUNH{Hy{5x!hM+v1i4fa zQ3ypA=P9!WAi#e2&1`G!Uw?^+_0or^90{unCAEOo4hw*r!Ra-z`% zTD@f~mYfI%$o0O>%@m~5&P3?Sc@3hO2`sgXGQNu%+NsUUn?MUQBKiWsor+|P`VWQy98_rf`E z?H0q5%fS5HFg|({f|s##3cg()#cFFDUi=)T+x!ZRXa9*aix<1NQmxhQXs#RHiHO{FhJ8*&`^Wv!qT=ooxX4DbS4?> zxD*sE6-l*scr_qz3KN!RhXQa`4aiV^ zdMw8{Q$^jROfVme;HU2%yaFP~VUYw)q@}+E@11|sw0nHS+^G7fLjXMA2rR?;T&N+9 zb(=Gy?t|tcXK(qMVhSPr5wI5TN-okXmLIYXHyx7lYLh=6mZI0ye{pHNPRXI66l*DQ zM(R8+5OYGjz%1O-Fgv5z6V3(5_&Zew>&$)1%JcI=(^-oK5r)aP*tAI1<@~2ztW{I_ zgKl0t-4#xSuvdgb7I)H0;>6 z$!uFvK-X^I5##4T2c-$zZ9YG{48)aocHyHMf_l(KBj%Pt&`cdY8^$OrR!e;lM z+K$^8LJZqrU!cMN>OGO|`uQ++wo5E{cMu+Us@|2S-#z&{hlkV{*;+$iDlNP;S;RnB zb>s5zaZ0@X8v_K>NWEoNSlBYIZR_+k;Ijw~_CB>_QK&WoU7s@3V0Xk7OrjB(Rv=Yv z;z2fsRDQCxjVdmFbNA@-x^;Fl&lGHnmdj_GREQF*X!6kGl#i_^Q&fd* zH}Z%V3NrO9lCh{)O5L1|8GcKzj3!yAUX0#cMhi0RjI@Mh>BARWPoXX}2gJd{+7CXa z<;v1fYWs)`B+PPpSLaz0oX2d_r|2*WJMnd>g|m%+@O_|DueuA_6xe2fiCOOO_xj8l zQvWj2t?on(n-0}qT^2P_(UHl+D2ty?46DLk6C|vTARI#c>u^ihjmwN4VOE|^7T-NX zMd>|~JxTu4=6Am?mkSgx7;Nx$lb0sJ-02*DC;KT#mt=(=m6c{sGi|@l-Z(+JS}Oc3 zUEG|FsGbsQY8WZh;thSfYV3c1_b7{3wz`Ud;&-s)RT#DQ{ooVF-6w2USJC&voiir@ z3l&99#)jl^t*yhpf}Hhmq*fr`v_EMS@Tadpt8m`0XctO}=)%&|Vyd;PBi~V5X`@d5=ca7+G*qnKZG4DI zC(b=m6ArXJyTk6e#C=*c4ug!AG?c^POEF0$vIH&k6udyS4+c-}NLo&6!~w`_Hf`#5 zvPj3Xs-5ozd!dNnQN-0kzG;r||1-At`K9Idh~d=6(D3CE0eN@M^L7x}3f8UAdM6pX z@rs2OD==$uS{I9@CurIJ(8`K8xK;)TGg0&d9E;#sDY!94v@{mNR4T|T5Qr;1`soPy z9F2;`s;Qm)V5=?v&7S9gIX8yZk&HjgY%BO%NHlyy>yUDv;HqCJqZyFkQ z($aSJH=PXPQBRks+G%hwI!NsEJyiVyxnD3C9xd3u!*iTvd}-m}J|C>me$2ArTMoVM zHp6PDNOiq~pu#M+9BzCrQN8Es?-_RneEI1y!Vbp+=<&URk9w~o9D-YzS<0S&`(8%w zDGk-_Q+QVeRZvOwHabvsZ!H-ycF)|#E3B19_gZZ0*OL(z*71>|fKP#&cPsEB?J&Bf zcGsZh7`Uc7Hi}b>Aqu(B>+oy+EBA^}21=seXVSlbNqT!~{?`uzk zkg=38SZ`ykn4A8vspW0G4Mutda{J-n?HkXwAvch^Eo%M*G#YJBwEH8a19?AgEliKp z$S*EB)Avdr%bpa$%rlB7+=|)?3b@`OLT}~$wV?UD#g2yg;z)*fJ#5==o~xnuYbjd$ zB!pePDo6M$twg21t-6{B7@w;VsHbs-l=Qz>Mva%5hVWh@Sbz}cQ^loU6JtVZa#bde ziuFM7Fie%rvxt*XqIoVNjD-Lb9i_^>r2l&%sxF;hphm~|HFvH~Nn2ao%;#WP(*)-~GZlM*gK8`1 zZEG@UyxC+wy#nz2yt5G$Zw-%!1xxn8Nd;i=&E9@Q7kYxQ++Gd}obcCAY*hSgpN-X! zeeFj$h@mhkDJI7$l*{jxM)y-aRb?$2Xy!;kq@uF@7_+_c`vBLSQWgcr&+5~3dQ9Uf zrL8tO8oK+!_&sPl{KGVowVrNtF$~XhC4wpCrl3O;uVl}!aG~2VRT};6eTqx%wWrmi zq- zQGCt#QQkXy2mqWU60%^VxLC}*n4Wyj*!LU)*RqQKLQ=&2z-?y9*BtS-&4}}4-z1Ltu&w_a;eo_&(E$EfuqqFC`SnjX4%d;Mu=xg&I%8==lo%$b? zAW!}cHO#kKX3`LB-h#azEYXHVu``tLb^R$s+VFu}Hk>O6x?A zW69@jO2zdfxP2!>%ZoIB>^z@pBCVwb@|qm^AuT-{{npP1ZPnL;ne9}KIR8ePWHWrAqix2ezpNV%Z;LGD~B`nKe=JT_U5#wjJ$ zcDxyidP4q1rpt2z$JS(+h7@H2$6tpiW4uHj!SUvn03Ag4{w$mc4~XqqiW zc}#Vy++Fo*Ho_bh!4}!=8kZQ*=AiF*^-$co2NT_MrQ(Zc~z}cHzfxo0}TlIxL}^ zN;+LM+!|@k-7l!A>(Y^kD;@9OCAEDo>F$-m<^KJ-H6W1mQL)jFv+qsjfAd5{$gOX}ID-0?7$^*$;ho(tX{Gp}Fb*;f;EasJxy3Gy4Zr=|aKi3S4AUL!Gy!_;B(GHjj4l ziSoV&zC9RsEG%frcYc@S@&c*h)VEADg9&Cm!VqfAr`*!Qr6&@3uA8W26}I#t=-7~S z^pI+B^4unqvmD!jg3Q48Y-ecU%K-WvW2j z5z)BNDM;Jz|sX9wR_u1nKVJ z@_505)bU-hO$qD5q-rd#TthoE5z(0Z(FgXQw#6uNPCN)Zn>EgXb;|z5WWD3_Rh+Xs z|9|=$S~#(dr1Z{mKHhAX1{?F`FYaSVhQzRFu{x}un!**F zmA(b-?tdo{%AFT#+CG8toH`Fyor|ywyU7PP-qPTvPLkcIt&6#hSFjp`&E!x*(6y|C zB;@&CA5?y;`aUu294W9ZPiMO76xWPnaxweKQpi^3%Gu&_gzI-8Z}{%D z7WqYdJ6NGm%&#zjb3BDY;0k5Xa8`}xb70oXJD;4cbyDG&j_?_r($WfTCS_P2|3r;Rpp@h7iQ1A>K=)wB3C}p1&-$4U^AfkDz=A@E7pN}<|uVk*^H2#Bm-e96a%_ab)$t-t?b!*#! zuxpdtd&5Jskv~1>?HbL8DPxd2z{DgQf}<6StxQ^6!Yph9nf|~kZs^x;&;?;}(N!p< zq|?o6aMNcx-wgA8A|k;6Uj7iMW28h5l?AwaRSEzeve#bm;}MJKTbZj6?lW~-L@S$f42U4+egpbXRp7ZAt;%KJE1Np`NmMnm* zAmsIxTm7wW5L5ljVPNGd^!ZG!q@%3w^dHPmX3XfNDfKPmMou5=kJGW5xXok`|8Q%= z^x-cV1GAAwz|*NalhG>=`^Wd-!xExn8Eg1DuW@F@6KZ(%a7ulu_PTD*#^y zR~A#!>a4$CfGhwHr}VBSfgGBre17<+O2k9HAA>X(;@{nhhO*<5ZF5NsVhmR(KB18s z|5M&ro@46-19%Ds;=fZqsFb#nVbu{w1d+CnW-^9?)kmn6;H%1Uv|&c-3ybHAa3X2|SeH>wRsxh2!CMjX z*99le`*iH38K;C-1E>j6#yQo39bk{fby+YFw})}%DRqF`#CWvP5eJbE(0Y%i1D#9g zaETyjY?V98F@K1s9ut6VKBlKg014OATxCNkL8sW{#R z^jOG(tHCs`zY}Sgk4-bmKDI)1MyWI1)seW^f)B$_nlI2a(@vzV+qO8hS6r)eq`UX( zgf}YO{#zy$Etj7|1Wk7w0#%trJ!x|2s7R<$N5j{m4QQ=JMfPLzyuAFVh_S)d9n2Tr zp3xV7m2V~fie}Gxdpr~6H18V{j;>fy}-cJ_;)18 zi4yPhs%MR~LnB|oTCF$zXRL4r z+oIK)#}!pE2~92{M!k#@*%FfO=E2jg4-C7l6>Qy}jk%lKcTwWuAD17sukN=ShL z5HiS{E)1(hg`>^|2^}$;=-&z3M7>c$b^(<(djc>9{A|BwxlT7OK+QMj-yS`wY03*G zn8wzjTSH$CCKy%rGy!FB1X}?7My#sqW}_o&kB5hkNo$w4tAS3&0l6(3i>M>hG-Y1m zBUjd$4oRg9i6f%f^jZaD1wRkDIm-KfR~@72+4_npC4d7O*RR5$K?r7|c_+htR4)9W z37_gax9lrp?(oBX_#Rwc)+H4Vg!t}7L^T5e&}zCyzViPtc22RP0Bx2%wr$(yJ+^(1 zZQHhO+qP}nwr%&#Bt7ZL{K-tc)muH*SGCvL(&KK$^raq(;1#*N99gW}0=IDc8&(gKkOwyUra_Lnr;s=W-NeWmen=|MJ8EYZEI~VfTJf|dp>Fl}I4;j2x z&B0|5GG>hW=0`%t$7fa;w#g=J$D#;#qRA~1U*f!C1vZ+^?DC*D#WWyW*>l3l)0-nn|KMJ&H$WNzkL&%L~P)QkjD5yK%AFY>|$Z za1Wk^sk_y}t|&)B1vFEEbIq-D;c93)o>h+st?PAZzD!!Oeh$-Z1gvzhp;i7C# zHCUy2DTC%4Q92OO0$;XZyDj$KP(_KgdJ->IAHqkyR^(RKz1s(wolMolIUP`bj^<u{E4}vIk77Z+wF&={Sarm<=M#Mg-}$#tP+xH{aA9{XFHn3kwo0^WR_4 zNN%lnF-+-e?KE`qQ+Jm^d@1ys;fS!s{ocJe{SikP4_^Ez&vtiF(S25bm5WOlM}oG-W#(%(U>E{*`&u$u@06u5v)0+yUim1F10|c@;}`x18jb~P3@PWv$>WeP zLdasBa8=#S{syj(e6eY*<&UqCD&}mDGb*}7u!&u(}z8K zuU|3M6mE}*=snKq>EtMh-ePQun7N(X)doF)0ud9F7mU>QYXS+bgg}@o_bizge+FS? zw~N^3F9ABMxJG-*W4IT6Mpqus=e6^JPqSGwOl3oJ#3YE8qQ=L9Ra52yFlOlH z6c(T2q-eLl{YMYi;R$uCa#jt&!NNknaI$R?Nr2J(j-jUE6-NqB_UT7lSZFd8_kAPt zWt^WROYiK&oX0bZmV|f8t?*j`oEB>)WVVp5K~yA9{q9Tj-^jVBe)Hb&wxX+UzN*i8 zg;9kpekj9+0Fj~t5I7)ubggRr=QW27eUdl1Qqc?kPAb<`-V=n5D!Y`L?1jC=IXatYaw4eefS*0uh@nh=iu3<1xL|d`0+JV$oYd z%UHXleS5^oPVa5zx&ihLcJ=C0R@chm#~F9zqjb3K`-~hGZ%g84akn~h<4shNkT|$z z7RqFsz*x0q0DJs>X->LrgE^OPnEXwIik-r~<{L^voN&WlN7qo(gaWsZTvw{sCv~4W z78ND>5}LrT5NaQhv!<+$6HBkvs6Sf?HI0J5JDx;O$|HYsL_rIMiDZVhw5z^YQ@6E; zr%8-YKSG5~n^=szZc7TYI}VfoUcaIKbS>O8$e)h}d;I%oL$5ydZUVqWbWj{>k!o;t z%tI0zYH%Uec5=O+469?i%p#Cr285z#$5O9wZVQcJd7dtX73L|$w*QDR;EynR~lB!3Wu;4 z$iU1HFY8MiA0Y9r&FHh&Hn-0eK`@Dp-a4P)2j0FQq+2wj@hMle;!{Zez+uK7Ga8Su**w7`*R-7bv(W0Zc`IxQERe-HewO;T8Ynoh5FPn1JMzvcv84Z zB>hs|VS_VfNgdq7Y2*Dcv_j1SFsf3wchs%&Gyl>0JL=LlG5B1Vupdl~e$p2zq|2vi zaibQ+a5Al7{0X39b7&J0ez0Y=xseMs8sjray~ zuae1JRQGTwMA8m~ceYbM2bXNjjqZcj9b7U^2|gTls?c6O@(NaD$CL^!#4k~5l7Ayw zqoix0`LD~A<`iWvJ8Mf;5h75OpVP#1&Ilr7FRL-3O&|w>hPGYN(LO8jJkq8I@-18D zQkejo&mXrATN#c8@ET+m)z+^$#k^(F6V&JW9Bj-G^WqQ_!3Q<)kqv6O1}z*!?TZ2# zVn}8RxRJW~**pYo_W4mB)liVwx+;zaZd@)3XU`tG&Ah#~(!^=nt{A2Qps=HL_%QmF zOv}J{mf__X#nas9-ns9&A4a*dLOCIM_lF!b^}@4V!|UB7FYbwJ8#DUVq$5Dca7=IZ zk>FxMvw9Qenw1Y~IjKF|ZI%Akse8JfL%ix9=vw;q7zzD_!LYvr?6FJ+GTanzy5 zJJ+ioX@MALc{YndRank>DOF028Vev|&h1uA>guMxhbe}UjM~%a(jY;uxoU3C;@aF@ z;xNmO(N(;&edBSTfMn;_NiPpi<0BryR|KPJ6?D`A*#uqm5P}~*#rMd}|B&PQzwHTRQ;U_1|j0^8R=_x9`aPcp2my`K3*_tYPKLFOXN(M_~oT z1SAz`K@j~*hQ{l_Y78sl*UZ{C1Vl1Q0oK4q=*#R#q@>_&4**1fMxbdA05T?41IR*% z4vv-BSRdc`@bEyS6z>bT-p-|#mM%1AzQbU4evbKL{7xOTHTImF(<)sT{Ex*sZN(?g zV;!3TGlO;yeA6Yb0PsITa3p9i4`z+~iVP@7d19w@z$&-3I8x--%mePr(3+ng+ZagG zni;?_g9ckj$PB<4tNyJgUki9VY$lM>c@-`%=NSx<4TUPwx@Q@QcFzwK%uk#h%JU2db+BO%(E@i|e((1RR&4 z>2p~DSZ&>~)pLPE^Ifz9(Ok>;jsyg52cCo3(=&ht3Eb7&sr${C>HQ%2rQZg=x~kIt zodNsCea^+9A<)ZfrbK3<-qe&a9MiOBhSoGX>1~N(`RGM{|K&gUMfU%dJNo`be%)pLpbvff zef{&x-BeWA{LJnLdv{Cn;Jd?ksbVLhmZ41j$#h6XN^$M zVq$Ah$58(@Xa<8sjjZ}GhJ$7 zqi<#Wxw^*ryAQOH@x}ej?*BtJLsLUkcrO$9)4N;dJ4)F@39sPX>{+Yv~R!)ISicby|JhI@O!;8+)ru z-R&C~U&jiT{?)9iOaP#n*n0h(8`8Tq5(5WkTk+$4u$%F7`f(c#2hsr$9e--dKl1gH z5y$vMXcRtlpOIGBUql(-_GsKC z9F~)EoH~%?Dp4iXCNddmmsb|d;RAlB;z-UQyNRBb@V13W2Rgmae`k2mA=?7s$Ztag zBgo)(H#yhr_~oHxPU~nNiyn4Vz2;l>IhQQc32Di~>17m~!6{X?B4G?wy+P;1Kmp#K zH~;`khJ2Y5{7cS*wVNXHTxbonFM0M|OXoXR_fNmw!PWPKI%NQ1Xa2;!Zk0T^uU&SH zArxhuNaY7CDzmE7bT`saHeS#7GP~o3u_mq{`H0Y=D(CK$3+#GGZ~3jjWB_d0;bf0dGQi07vPf*^BojhHYS1Dq<_#4U9sGz7;`mqSbdafPE)Xy z`0RiE(Z8kzAiboRJ2~qaPK(MpMjLz+lSEpK^n0r5p-9m|Ts#=;=eoH`b@Ytyw}2jK z34_vcEaPCjZqFb!bj&~I+QPX>`5Lx=2Q=Ebn2tHYL*eA3v3iL~xUIsHp9A}-TK1RO zO@1e5A@6T`iAb+*cOz@>7a{6JK?$eB#C4;HJz$u6ufki_u(_J5#es#qvcOg9#aF9v zoN^{Uk#B2V&_f9~N?&Sp*iLo4>mlwM|7PN0{p|Ak)?tP^@xDn+^-31Uon93JNF`Be z!dPm6s^x~s=Pv7OaAwIbY9zGhdfGlehA83u6*wU5248PoW6ipKF1Jdy^B)ck*Ll$= zV=3&`&7A>Kx{w27Rh7SJJMI-LV@b$b`1f#~S29(*g@||;V+hr1 zWwzZobUaEei*7Ro1$kFbb0V$8a>Q&hq_16vDyh+ebvW)ZQGYcw8kMc#tmF}kfUXp~ zbUlR0@viI6g4|_FPUQ!a)%^X03Vv6Vg;EIFhqDX{UMq_{%sMnuHL#=1t&q6;*StKz zr0L&P1J}eNl+881=d!!;7deR^uPWId)Lu`|4-h9M=b_YzUfiF_4&c-n57y^4LMtKK z8ww)AB)}q(z~5OTQyAKk)g*P$bnp^C|01nag#)>qA==C-S=+3IeMfsCX~cZBj=aM+ zN|%_I+0MRHbv5p4phI|wP4sz7`(P*EQFC;VFIf{H7>Z{|*K|5(&?r6yG$T*^pu=Z%l%~~Qcl}1;xC)Zlx5{a zRCHX=z+qqa4%7Y&j<#HQZWwwq`DwKmw>f7D)a*b_PykXc0n6|}w?7n$g1+Ae4R}kS z9dCco*FHp%7-D^`aW3WmY`}OfYxW!K1$ZL!u!jnE7I3Q^QjIKjfLs7)90{ zpzy16*C1nZJ8@?X7E!I@(Egm;vS@_7f5TT8s9|tBzFX_dvnNldspsi zX8+l`ASy`?&s<*(YdqsGUO42jE3*c>8#v>_p7(|vTRP0KU?aw$Q3@u^eL&!OeA_RG zrxN8YE6*@hxGb^D%Y%&#oZpuM94mLxaZR(UL>~5fiWu>g8UMI8u2jJv@cTVj4(up1`~o@J!sH%5 z<5)lEG}>#wbcfbk*feCT)`3W`P64(Q&>A_P;v`e+E@MRXV%Zq&bRBz$9X^}9%3f2f za;<&vrsxdTalBn~MiBLnXrJwgj_uNgtrrBlS&TPKY%YyYL1NP~6&@K`55NmLt*n*mRgi94QnsNXJa%hS7x9zE z!nkM)najEj(@TtF;qyd7{%Om8e@(!mzhQR08rnFfKG-_L+Hav|Mkbh5`YYUndTD+0 z>3&F2sq=1s922(Yw5Hi2yBM>G%uq)udWW}z;iYKg1aE3pYNYyL*W1Siv3Y0Oe;+k7>zYroVq1m>5)S|&-FQ!Y4;rhK|fougMXVnCB_w5^- zuRiZYcUTuv7sRGeC7)|bagXF!^7gCq)`fM2bFQyCV8aYIm_vBmv&@HWn@CQi^CLbo zXL5q~*Y<^5E}i5aiK+S%hmk`5qp3d7ZK}64TYwHlPCYcIKn_84w8Tofs)*)Q-1*OP z&4WO)w}psF98YcH)jCu)T6|U=_hr%9W;tN5vE%bfbP~;LIdKT~ltn%Z=TaS$Fi1Uz#47-K@~(Xiil%?J}$$k(S^F1|7m?-M-Er^NX&Bwc!Eo!PSGcAqcj>l3#!9u7*K+c!SyB%gdhcQ4U(jvE5_B-miwk_22o|4R zo?LmwT^t;0t&BxjY$bVv-y3-be=@{d9DB8au!cT~#LZXG7+}|)&kF;_6sp+kPXLc6 zMfO2eKk2_ZOLN936jglTd=;#ry;z`p_^?xI+KfOjz??-(2Ovu+Bc~7{?i-pzIZVp~W7lma!#vv#y{9qDs%rIQLBeFrDlp+#b%9@a5uwc%hL?vXUkl7blbwaRB7?{bg5UMEaiCB5Em zT)u(wuaSz|x9^}2ZNXlVVFu$NjSjC!n>1+1!a8Q{W%MGIIo6>s!W1AX>Qh-F(@y`}8V7udF>dBN}hVN&!X%TSoIUj8=w_aBmj@N}ax?CM#;PjTwS$83+ z0T2(|xNZ@71iJaHs9RrB?_8<~2sXtNqq$2P)CK$dT4BI_(1_#D2&}B9Y$o6_k-vCa z`i;M*k}oVJ(Wyz2PZ)C+l&NyR9nEYDl&iFCeOwZDRhMiiD707j&cRf8f@D@HmlrF{ z73g)agu6;P18kLUx{qNi33bnt`I+pv@;0Flw7TXI@R2yq($kDnT{f@{*ojb40MWGd|Iniie$cvq2?Q(NH5y{S&W#)3-rFr8044)OXNO4|I)LP`n zwjI|&!PIKeYeC`6gX|qdSod^NtVcuyRqup0MYmvUWHVjFU1ayyIbjP*Tr6NDUEtvA zsJd0XO-jjaHXTNc|HAvsE&wXZnEZ_qBoBSwZXbVu8iF~KB-ZY?d!Av_-+VN{f<*St zc8`5f0D!x9HHHCPTWdN`Eb^{5uz-_ z?C{W{Y`w14Cl-kr^c&`_&Kf6z21L~R$WG0G2yu9(C-s-o3f`5a%Wz2)?iCUmv$XZ$ zGxm@a@sgnot5hmtdF7|QB5oGU(eRBQLl!dNsQpTE2AzAj>v%1lFRw7(X^d3wnT6bM zGy`<^z{i^BHu;WBo={8tKtOe-hvp3)^JJ}|Fst8f`ooeu7f5h#u(I7CZGzR-S%rRY+9r_3deHJD9qXnBSR+nHtIWC!RJ{)qwWinDO5!m$IMHO%3q zwxebM*sD;Yw+5Mc%BWOQP8iXr{VL7F?Fl9Z48ox1EIFn(@qMZ1{VclpT<|S7nKbs= z_LHI`Udg@kS`FtYTqc4aRY`eMH6)trAX;D&xTb`@Qp5Vssfd8vNlApIuPEk^vDj@{-W`A zB^nO}#RSp13H=-0_a9Th=r7dK_qDuUXS4})49JnDx5a#k2Ti_dluzic0(q^6xe7ua zlIQ#YFiA~Zm9gK(hITKY43JyVLpZ3nwxxWl)PVN)6_40>2cCE1Z2G``D=0U5viy@$ zzL-3mksfbj8@k5oRi1x)#Tz_(poavTJNCrnmJA z-h?y@1YoA4&q+m)+R$)A`v1D4>27vjfVs=~z3d+vm>|n&w#&nJ5K4iqDT%_2n&P?f+}6-3L4&Gx za>TbGqG!|A_+|;=!+?h=x`B&2er3`~?1?y{SFm;VLO~=77uyEzjmfdvX?(Xtnk70J zj@o{}`7u#Py*e21a0cgLPgLW4YR^FJ=UFpQak-bB3Pe67PLZ)!e)t~tOdZH+vVBSWV(R!Y<##ETI5r!Uin9qakR`&8!yj9F1}e}vwQ!#_JKerc$jHy-r;^|EyA2@uEpA} zd!n}kdAI~BPUd1q$+iz188`&#FqagBZjus_s?b)+NdUqu$0s)snw~PqXaXmg4daFDW z&^QS9-pfvPR}s?-vPG zR5dpA2hK;AqR&Ml!=_F{_}XQnM+r;w;+ywy)FWAxSOsDLpz0*-K60T1y+!%*Wsa*T z%JBv3BJs0z#=g)9Hj)f4xLAEhmt8HC_SO zm!7(=-3l>(fbHUB)xgP8fVJ&;`${IGGYeEtjzIctjNvb%)Rn>}f%-+=ZXzbp^b{Z7 zDJ}E5zX+Kl6&c<_YuL`%*#vASSQ7R44!Dh+HXkfhwk)X{oONByTyYLB z*Nu2&vs=9wN?n8gL`<}4QL5wcG&FlGjk*1ucNSpYXM}Hg@npQWj}^f3dh!vYt!$Xh zxOu~hoyAdX`wH({MXNvw8;sP*Qu&tK-xQre<$H;B?N#WiJT190EE)x85rfj0IVY8U z`;GWVV$Jyu*6w-5ZmG1mjO?Gm;5*VQKLTOBVb9ie$-Z@Tc++~Ly!fgeR(a!oIO z)5YbZTd=Y}A8KFwnY)YNgydwA@?1nw1}{#IJX|ubg%GC_Zu?GI)e{!Jyhs_KYZ`9W zOqaAld}ZgAc+v{QeA&_`Q2L=Ad=uWn;blySy(E;=xa38p2tr>1jW|f9Uh??g-_PaAZHKteewvuJyhGI@X^tl{j=s=@9{LCN|eDC zlW!5uOXx^S!ZV)1)pWQ6Z&0Hq)8W-7yKl%R^TxUS^!g_1V8oo7g%jO3W<(6!9uy|~@@MTUoR_y? zj54v`-ZS7r&l3$<-0Hu-7U11kU2gf zWZSZ;{c=)dYwXLer5(2Itu*p#5sD=XMRNdYo}&|B6Z1s9w~qE($Po)RCq^ww2yzt* z3n8FRE$Y*q;)Tzjb3Wb^C00onEVKn#Js3_ZZbiZ9zB_v`BDdTQ!c9R_braE0bgq*t zqk*KbjXPcB-^(AT=Z+foD*OGcg!}ySo$8R|Rfei#x^J6Is7asHfDnE0e{Bfz8h0VN z2w16$D_g~+fmJf6$W@+IrENU?1%MqJ+9*7fY|Asjl?(Y5i~7N8|)!{4hfAzSMNP*my=sHJM5!mj-2YO!b4DH-qDkC@ivQc#-KADG*Ofhox2 zS}5LiJkmWhGKDT#@3`skocgt+U^Wl{26NA`rN~PJ`)UEX-+0H#rErTI5Px%6)v3Qn zV23qPt6Fx~&*f7nTAxl-z8_c%LgYc8Z0MZX8gWh}Kuf?A&sO6NHV-x5RFz2k&@0~c zH6oie%ETdg!13S>7)=AQ#a}|h`e^e+^`fwuTB4a`!r~`O4V$K3fHg)k%wsZxY zJY?P*bn&d-8&{q~x;OS>kWcc?d2uRbh&X zJ=J}|QJyp2T+=q9bsSp#yj6y%)chE1B>2)}2(bPMa(y-+e<*L`b^P@hukGwmH_Nyx z5VrU{`V&XAU)!^LYChLyg4EAt6}Yo*?oi$Tu)y~i>qDfqsAr{_=VFK5|D`ddiNrc3 zD1^dmDWtOALjFSgw-DX%cu>#T24U_x>-LpI3MPOqo0eDB=Y9Qciw?-EVWu&Fu+*3C zVTJwPX!7Sr33d90*yrpcsi>}(F+;H(KI^N{vIUVmpLsYDiyG3F-JZAqnOeqhh7zVv zkgi^fh9b|^a5@vC7ro3o>3?%A8{Y=4xq~);YE$&mT6SOW;G6V>YKFQ6Q zGiA8r6QdViO0SYQyBF)>6@VcPk(F0yj1kqmltmr-N(3Z?k9`?aeXuB)$1fVkQbpBUP9 zn1N)kgGLyWW1SVNDI@~^Rl@|P4=r+;>={{n<|j;QvR466lfy0l1%{?~6p$6t`Nd4S znpi?9sh%|V#PVLzrF#`O7^=!Dm(n>w%-4$^@u}qE?64z3lA99XCZiQhNleY7X|&Awsj zGeIYVc=wAAjL#ENc5_pz(753MjP=yK7g$}%pv(3a3%~K?kEy*)>3&)d^upv#0bv|| zNeGesfXq*NTbiR-PZ>INXIg0kw9MsC=hqaQ(;jF23nG1Jy_I)Y?JO9mXMR$d3|cY! zEJ94;l#-~=M*-7zm5)+l;gmj*V+J3)2Q%mhW8*>Vl&8o0n}`Bg;4!vrcglRFh(aoM zQ0BGjS@Om4&8FV10T6`c_C!QLKJ5Xi;(@Z9f)vhI?DjzLz^968XPicBwr)E(M+z7b zwK{@!<~D`z+AMY^l%Dz#wtg&=N`o?~;t1mIjgCUOW4(E&*FFD!J23Zj8NyKxnu*aH zL!E-d1DT8QO|U#C;-&(dU~5=MG~dg>vz)z5GNWiDvpo97tIR5Vd^3}?M9Lwh+*DW4 zI|NfUJ4`?yrkOO@&-E^=8`D+M#*FjHC_RHdB~`B;WxM4vW)-ie*XOm$P=x6&)4l(T zVD(4NFmB4Cvb})?Fmq>9BM4zGc@bbzIfhK@&L z7~|7M01fGu4>IUFmj>(uxY}20(suTe=6Z%s_~*71N7C+5_;djuvCp@I-9^F<330hV zC!dxov$JcTg*}H!#3lnHHrH#uz1&8c8j*KV3@OPw{!SH$sDAj(2Ar!;;<-ALuYCZl zCJ~!ZoQaZ`ZO@*@p})6;4F_Ze&n!uyXwUbdhVOUW{{2v}DbCOI0qn-qs#hY}?TKS7 zt4xPr^StKg7(Aq7g=!v+pF+7iGxw+VS=*J5sqWE3Ahp)(5>;U=ay&SYM^A!ya1o63 zt281JX8)N`Va{s~m3A3HOtsy*Lt!m7LDKl%K^Vxt=xJqF*(yjjc4 z?&@j_!ZcdW9v`ASZ>4gG$& zQBxF#{T?E;93)N;+F5f_B*mKD`2q#sQMTbf+avSq!Gyb$l9c(IY%^th(kzWr_AMlU~B;;lwG9A72s-8#mN6YeE|v34`;2&34}!j{zPEvxx5?}+)9}R zCv^meqS}k+>WXrOI3B9JcV5|dE z_Ic&wslG@+F9DB2BEdGekOW_**%+q1!w|t>Oq%&MmtC_nn-CUGf7FDO6VDQs)vVv+ zl7Cq!UlxxvQ{@&^JmRCzjm)13ZVCyE`qDT-hI;1Ich47n|1@nVj#i79p)7|W8z~V5 zvgSYyj*9I8eH@X3+>4mM6F0;7rLv#}l9LK~^K!yvD4T8HMppl;ZUU?KB_nv`7Bnbi zx6GY-MpMjO6BH9Gg;E$@g4m)zDPgu?F+plwFGF=rnVQ>@ll^7EgN!eHKi{Z~n~FB9 zgy9nPy{0am>mtv=rxdW4iLBR0BQ+o2@3MBb7%Z8dD5I%AnelkKIbvJKi?f9ZYfmp# zr%^R;WX}le=AE0^ARYD!c&SJUf%-5vFT0nqufHN+j`;lE+GQ_Ph>qy>4!N zZN13T74vv?T7lJUydv}FGk_~p;)hzi(cb0Yr>srfNxq&jBwJ{qy8DZOiajA?g&amomOc5d$esgH&7X3<+E%F9P9&LK=iy z9fT+g#8emHTzAQDn~ zT?kITFaoW>$!aUcLD7?3jNcP9u=F(FYn5)EA$Y>XXT+N8G$u(x3#bFja;?C!U~dqT zh~9a(%+sCa8e|M)+UNi+sz+|w>uhv|cAT*+-I<(=-aoT0y`d}bUIJbbh_pjtG8=Xd z=ZN^I-dB~G&2{hSCQ*SpoBo?s3Q@qGEE#rGZ}vULouCklg+Ov_mJ^HQG6pey)UO6X9 zYG8BRsW$UmsZy-)w+GlyS>V%h=w4-&1nq`|;^)Qms~)#MgNT1Zm@1i4X@oxL@Q2tt zjIhd?MH0QYEj)N|=X1FA%ghe3B?{VfY+vSl^exULJIM&A2uMh<3#E?3Hk|b}G}br` zpUF}&aUZ0&KWvrN`<6Gn&VVBWxw$*#eoVOdvxWnzmP7(talHY!$u!phIpjd-{kF__ z(ys|R$tQ>;)E1G=x|lH9K+6~tL#{Y`CVq63zvnpT-jh`u ziE5y1r2S4Zw=Z0sZr`jxAp>Tarp(YJ)Sb^>JvQ{|k<6-PCQpHR6mpbLv>q+6y$jTu zJ!rM4@&ZF<#p=vGi`CB9d=r z_WTh8xa-X2Xo>wwv5+pLNA$7tRXV2FZr{&bs4gwAczt%La&^%)Qtz{KMCh`|3_jsY zNs@+)^dP+7!bdyZX1=ao!jVbQkE5$>BK^A5SULZwpleb&C3Su1SlCIqy^N&8&)nQ% zP)8r$iitoO)(v|r0716&)_Eh;PLq%^i1;WhXEUw0wv$c=ULE>!aONk1kD#M|<*q1#pQJMAZ4sBEC?~22pOvpnt_FZCLS)&{8G8hR}n=I4S41C8( z-Pef>bPvKg!oGLG%-WJ!(Az0R0_AJov#NJ;GN6E*)Bd zo#uYVa*uZTGLSfZr>eQ1mp3?=Y5rGCIt>h-@4bmh?PK@nHNI}*YwXEWaTmcuA~GJ9 zvS*;(4m!(elCouDsXS@_>0O%A5$;TB?w$a2TkrG}M^+SRg~?B;13lMpLW~_9G=cH0 zL6Y$qrEv-T@xgi6^_4Nw%R3!hy?;?8v8fnYr9de@rg5d+QNufS>fG1Ckk{B@d?ixF znNOh>$#pzoD$7cC8WPh{#T&~6#QB8p&sD72>2|_FE5X)&>a5*U9yi6N? zL@ zYs15JX@%-DfT0bI0a)o^92sn3V|*QjN!ySn$_z18bmTvFz6ayp#9ylmvta0HDMBgu zISqi<>kQd-v9IatO(mNTnRp{jBHf~B5KyaI=v-*8;#*xG`-iQ!^6zNvd4?&sB|dNh zy@3K`EiHueNIu)~Xu>LjD13r3B{F-3XmX)_ZMcT^k*0M9lEjBmzw6v~<~;MY5p!W0 zDbgA4b18T0#6Gq{+=Q`ao%aeRsPAlHYNwEsBju5E4Ld#b$;0Ar=L`t#+I%ot4SNiehDJc<^j+_U3{rcFPliC=-&Nu=EOgToK1Jza@j15b7k;3#qAvTUoo#y4;76aRw z+_V%X8X>Kp009K5{)*}o6!63R~?yk_rV*I_+YLGZlXb<#(Z76RrGcB90}XPljpWGiQ&3y^Q%m7dWokF z`>e0ChtiP`rrfv`G1rqGeG=M?LY5A!kv}t3IiSG9ADjwv$oWLC=#OKLyI3&9kHv_O}%XVZq&d66zEZ-bZ`Me1&oA22Qme}Sr zF}Ey{ygM@BRYhVbLr3*@a zRZ`Y85m(sJ%$eg>iASrA8cN6&|M1q>v6UYU1UZj?WN)h56aw#vUHkm464VIj`Ifi# zbX)PYni&Y-Hl@ifS9%vLWut`vs1BI_vTXpKj0)z4o>#} zPdKTn!!WK`yN*=rreXeAsl|G;lMS01zZieFFfH2r5ED@c{`y z64IU34`dGR%*Y5>-ifuPo&|7BBLm<%%U>CQ*^}IF+Ls1^?8T)d`WIbl3{wxp z&IKSt?PnY8i2;!7>#zWn10dUqHaq*b2bd-s@I+SBh0fP=&j7xziMigM^*gjrw=?~_ zHwY)|>Q{8_=lL5{smayFp3T0&$qw*qx`Kl02mg;YO_bKp__fvhDr_D5C$_nT?ZJnf z#P7$?z}IsJhWZ94u$CVl-R}_-7?3n=Hm+6FpWl-o=#xF8cY0V=Qz`DpUju$+c_V+}(cp75)A%07pQ$zfTU9F3vz3GkRDi=D#^j zT>j=Zx3q(0_-9n4?9A)|OpO0wH+6ORPoEpm>E8xX{xdUFe@Pgb+S}Q90!)Esunh9{ zE`L)3DF5$NrvHB@^8W*g|DOo_|3u#Zf8zdkjsBNI{Qvhn|95C{R~s97BU|9Vn*jfL z#{gsj|6DS5|68T;4NYD5mMoVXLOAnx_ zqNR(81;EV6=5L?=wX4~g0-bCu?SOyv{I`_=IwnTO|K?M*ur#r@`={}2|KS4Knf`a~ ze};f2Kvn z#mLU|?|}VJ!#{2lS0|^xy8e6S{}%n9>wiZb2=oA&z^*RYoA88KrDmkL)MDifO^E9B z^)P`Cg*ucps21i2RNHs^r-totRT#e4gwi)oaeuaYE}l7j97t0ij`U#KP;@5)uk!GG zNvL}BQ8vljIcN@p81zdJ(#|!ayssBzw;{CI8PyMWCzO=+i{GK}r`lPZps$~)0!ZBQ z1JFsI91#6XQtD$cI*=PdP-_d$&dC!_o}VZNMu&$6yKfIFWx%)aXhu4L*L1*)XE(jBk7)ceOS>d`VJ#vItYQ;-_uFZ7%@F`VoWcR4feEm9T zN78k|^rK$AbAodm)OBI^Dch)WT+WZuMQ%UbcunWS0eVdeVZC=(HqIPK6|ER(7hF$oy^_ zk1aEDez6VLVNF%qQfFp>7U&=7R|IP(Crr;!@&pj9kVEX=qe4%_KcR*p0v@6Z?_zoT zEwWw_Ib$AHGFGVa>pM_VXHro5j%qxxY=X#p!|}?*H=@%vr)TN zVn1)eQ~-GQH0`h}C}pFHHu5Bi+QGIO>dBu-Nlq1b7r)cA?krD{Y-gPYWK#3cmMj)A{7Z@lrZ?U`1XDgq?GD0>f1kkTN3W446t$4)2jAmryjCFvX- zxE;c!{p{?-vrM}FK2OnAe+O+vEM`cWG|>`@J1~>VDN|f)i9cezc4c+$ec<2E2$bFJ zQ?qfER-}d5w;W$J8`_~*FSp1U<;cx|Yp5n=-`nYk;5G}_=;U2TWJjPQqjJ#QnLa)N zep=y;U2httZ0i!|zQufT5oMZ(4TDt=9hF>(tA$#R;&|L`XQ=^R;X#)tgXkU;iD33Z)miLtz;3M;4-J z@y)k$T8qDYfyV;k`8N8|6m-941j!r@7sbCc59=++-`+;wy7VVxu4T|(w3u;g)A&pc z0mY(Fqub6P+NG8w(6^&*1rNk7Iz@47K?oC$ZC0-WN>k6M@``Ti=yq!#BwdeX3THww z_&EvN+y`KZ{3}+0E_#x3rh>I@NVmi}62DL7i?qp62!tfhG8e@9r z08w3Y0^yJf540Z!FPrR*PmNvbbINj|hEnV0dAfCG_+ql@7mh41Q(^ zm_~=?cN7cW`~Zo{nHSr&e3I0n#=gEXjD4E+KD7?x*raV|o}phAv!vG*{$N4gOvZ+5 zyUjsevn8T}n0aw%0@%xAKMAuSGxkWe7{G$fR>TzKOj)7pC;MXqO*-CvyxG~9w|84@ zEc8S$#UJ#Gc}nCt$+~OWx=F;&njZAPARFN(#nA+CjP5ft^Cqh&kltu@NNF%$MuFHN zg7&*2`ZbXiM1Q=U+a~RW6%x)vh}khNpaql51%eaMf@TbIv&o948WCk4Wq`d^lX5;YxtoIWTw0dRC*obw0%w@Y(+Lsb#kLWeYFIYWr#n zFl@R3fcBpmOHlNWYSpADF~|ny4p(>0a1fNPQAZ1$%1f`){@jpU}qB5`>vx&I8vx?&Zkfr7>d)itY2Tgjn3JQC!Ur0hFyxUjr?=jhN`tZm_oP^8xsohPabuWx0 zo49OwUZc#=4YbW4L-MW$GvG~^wL)Dd{q${Io_XDP-udjuAlC5x)gBw?)Drc3vM2j z{gFd>O^MXrb7o-)4)x2fYitSY3aaj8iKh99Ksv0`R@cejA*72^v(X%e+X^vl*RAc^ zHS)B%O+%w92pcU8o22*t?Fn{r&Ke-wAg%soV`8Iot0uTf@#|*7Zu?Si3LgDhM6gc^ zFSpk#Is<;UOudDRvYO5m#bAOK4k8*~D>LNitGZ{+Ts#}(hjFA8HAKVCP5c%%$dQEYD>_pBCF^ zxK(m9UjK_%qJ!T{Y?7JmT+bh&hs;3KI&M1n+rhD3u4$ebUm|$w0g2r_O3Ov|g;9@u zWwFaZpG%TY{j9HIl(wKtJFE?#8f4t^GsG8J8uVhu!U-o(@Ja}{ zFBy@G^=fk|uZ|223tgaPLG4NyeornpaOq-P@*9Q5E{@W$+4f!Wnd2@cSkBa3-*s`cBZ6}4e1 z9QTJmsdub8nzxEdyg9|9M^u{`vXH-t%;40_JFB^&64LtC#N{Z~D{lBSz@B|UBOF_Qs z&ffrj?x!nhp^9T1jG((N(Z8__3LoK`Nup#Q9q}uXE*C`(^%7@igsSbj{q~Z_kcLreQX$^P90JRC;fC zH9k^zYb?@<*NAHHk_HG1i)y?;ZM$o_1d58RvCk5DjkbjLkkN}YSiE&qU_Z3IxD3#2t zOe$IL`N~DvjLAn4}eW}9z zIh|i*uID|c;ga{KHolde7xnez{edS`xN$*!t)J}p(!rSMU{sY zyi3RwN(aU`Iu=Ls@^X*C4K;h-nOL=reE)3+xf@OoB9oAz9{HE3NLGL;7AuH4r!2pZ z_U!r=n@@pQ!K{^_Jtuk#%AVw-5~+uDp;d(dDtw`dz~>KD6}VCrE+7ABv=aY&$E@oP zWY7J9)SsaOh9;@RXc|k)d`5Ec@|$CC&GOJvTsBnxt&Yg^{HKLtsjRI9PdjG6k-+hMb+vJ;|I8&%vrJkhW^9D?iAFREVMOA!X2#>dLqwv7hs$%5iFEZKO z$>77cqg)&}JZ=~1cFi=ne(4SPu}wT9s6ftl#^2Igd|vdN1nS?@b$JZPBf;D@4Zx|spx|9Z6|o<5GuPRh#m_ow-A4H zI@}IFtg>8e;C^P}_fmvmO0{EE%ynOYvk>>6?Sv$7$676^&8R}&iNs9*@SX{%i@(JZ z!NY)tY5)&c#HmJntw1eC@uxqc_E04*aGf7A3q@`b>mt@V9MPj_~yt=k*M{Zn|ta#SH8!EQNFa} z96dT3Z1n%sfCQov$#a;;kwgZgebV!X-c!9?pcbQ{7HRTY=_|&+Rj)wBAx0OSKg}*^ zvSk2u_2Mf1qbq++Qq^v#Bsc+Wi?4e{6C7|3*z1!F9vdR8vkx*PH7l9Nr99t9^ zCKhW`_4UrJpB?8JwGN}d>CK`93i3a_iXS^N*HJsL_pQW|un1j0uEiy8m&uWAQH*Nb z&uw^=b&rKJVK;A&lf4Yy9mJQgu7oe30yGp8DfrV$fedeBl$eyu%#>+-I7 ztYiiuRy0A6259cL#tg>=B0_T88a%5Hr7oHxS(;3@)wfNIoT4q+JWHkX{x-%h_(gn> z1dX_xBB1xI^m=Zu&QJ+el<6EkVt3@rd1;s16dZ9DY{n3NV_%Bdh5iEH(bN& zIM54u;He&L55KF$Ivu&}=aN?01vZ{;4kJ zv&__Y9%oXfNu3;xr6W=6Z*?0OyA0HR-g3*gTWToA5&}8DP=(qSHy;!fBamo0Q~BWI zZo{K%Z;JViS2C}2e#PMg&Z8oF86VOdzO$tUqVAI zXDN*MzN%l)6hpifZtzZ1L~DsqZryRI@`aG)8ceY2Y=Hzno(WGN;AmTKJm(KU z1xDO_S0(a}Yr=2mqEXT~*i^^mEB;-ha2JyjbCpnE?sYko@@KZgJvI zmpb>FLXnEGsjrw|hu}M8@@YoCT9v-nX$Hu;UQ!VVLz`kg{_k%_=K;33w+O|DqFiDo zb8=BXKanVi-zq)aek7jxPylCBd6sei(h%xqH@w*;}WtuRK0PK!?!rU9oxDojVBe-#! zQ}6|cO-eAfi*7{WCv{a({TD;5@yRq61|C@l$H}u-3?v=wE?0X|uM&`Q12~-V;N1;N zpdIN_O#VhuTiEuT5;K3)m)*bZv!eN32AZ*+NMu{MXKRzT2i219LFwm?6^>-I$kj}+ ztZfd-QAee1LpxAh(2r~ua;2X~7DhmOpV57(P3!aRY4_B5ORwEvIY-rcm3XB6m6#Or zBuB>+I;n-=yHBA1HhHTu%4W%^f~bk#>iW-=MXUMKG9iJj{p_`V1N8z^SqgIj!5xMo z(6@TXJ&{or!yoF!XK`_Fs@4r6oae2rajPPSQ4N_+ml_4^rDy7V-fG3lVwK))8oHnU zlCqAD3R6Iaf~f7u_OwE$&htNT?Y?K!e?&eiQ%<~-eBTiPNTbO}(yx&I+n9Wz@=yK6 ziQNN(_kCxv=n>_k_kH;`ARi`7)@YnJsOKX$uDN`Gt2iw+@=y=$yO=-V`USON)#Y_) zTK&Wz$H^-A2j^zYK~P#QPb{bE-yA(sK;KCc4*IaEPQ7H(sC$16BWvByO&a)sX7m!5 z+|kECK->PfX5F-~a zG`5r?o;-4=8rPV_4ZmJgvHipLGJd@gIQ2>37r?CZMcQjuaA-0dp+wnki0Hy{E4KNo zJheqjFK@_g zjAB@-$(sxUefBx1D^1dX6q}-tW)s`N(^3ot?;XDN)_u3pk;rZCPh+P*MLAKdqT;6e zJVZBSE8)qFkdA{{w?_X{CPV?cbas2XoxG@{pY!O#vB1ISdgn`Dpr+A+dM(S`g+`mH z7_d`MNOwlooRml?c$v>rE(!ZJOt0J`jaxABA@-WC#C*-N4xx-GyEjLh;NplbAAey? z_*vyfpi1!({(_HyGot&O`EeJ;D}cLE#m3}BT(h)j^h!S9I@~V3&q9p`%&c;29Q9X? za6{zWqf@*3AnE5||03E+E2B;8Edq`!>=d?VB5IrywcrLnV@EQL&f)Me%jRAPbp5=S zSSg%c=|zIcfRtSrkU&cyw7soAf*Mjr<8#j8)WYVQ>^hA9E}LNzH4<9T>0KPRi?Z0b zRq^+gCtG0G8*Ga7M-`5C$H{9#f#A|BOPFp(PLWxK3hbvTQun^ALas9 zaS&|Ya(NDK(LZv?5HJ2?P;bl_-#Rqy(QqAu5kj!&eU^K4$U=*FeQMWK6J47rg^P*U z81?tlB!zRDsW&%@Kjb2fAkkp=v`CK6-FrSBDa`}=-S~1MAlY(rv$jxiG!aJPh1t;@ zVv-$y>|x@iVShYhv*eNHcXW7AteT$9;**{uIbO^P{DJ|NXnz-PJ)SUd?RTsx;N&O(WaUDU4cGE9`;BxYt+LZ6Bz$s zxcTq}y(`~5wr^pI3tAM$m4RITGedn|*NMnBd30Qfd`$OMQSqVmW|SRO_)Lwv%1&lb zagEq<_D7C5{=O!-mj|ACe2Pq`ke@Yhz(gV%O{R|WNpFJryN~wo^HJx?Uvg-Wy>i)* zLZ(_!2?{iTpJIjXG@&xNPYVT5IQ<_t%FOgc@2-DRkyubr_sXu2Jh}`EAiy6yANDZg zyw>ldI~dNGG8cckVB&e$K~nXCdz@dg{fZ1v4q#oY_cnvC1m^m+tcaH3rz~@13!-8wU##UD2agYWhd=9olTCU;eER`s0w|`X$R?~RIH>l3L11+8$3zfSr=pjU{wJh`Q z1e;ov-w%dO#?oPyiu9sw1TrRvTqx3?Kw9cOW!|WLkJde^dJ3h)zgtrwwdA1r7$FEL z)m8*gy;i&alGhl$s&a<`9CNW%z%>3$hO;ew()x`L7uejY9ePU%$~3#N*Cc5S?dGG7 z3#6Zuv+DhL?36NZ6OUNq&|4Sr+Pl|kJl-FaqXBvt>t zX5zIoUi^prw_lVj|B&AygSp0~^I^?=VETS|-*3w7=D}Z(;To35!6B8YBQ;#X{YX~; zg@*V-va@;yNHEyh2>20Kh21tCR`v5~m_w7GOG$<>g4`tqo*P{59|*U_~{AL5cGX1Jj3-XyRk%DZ{rDqPd%5NVXj)S2() zJuI$Iw(^eU$K{oqv{eCEURxuK4Q^aB(8KZh@z%wf(JQ(v9L6}WPgF7xl|~{3Ao~RKZFt&U;{uYhtMB*3uuH6V_!jy^4=d0m z67&9@)hnJDG0_xbE5`vkhy~Mvl59RrkV7G+h?+wgQ} zFbY&(Z_*q+O7|=MbW&}LI1i>2{Sf8)(fks0Nf(^o9z_3bO~CVB2$+l{q6qFgbCvy< zgDQqKja8Vl5z$Qy=E$$Xg^0GN=grpun~7}_XZnJQaa*3LdHH_HWlva+QP;+J^mil;?CiT-7i=i9Y?0nM+l+dDEsq4VNe&!WSF+E>x+Wofep*k%* zW*2nYv<0IGqa1&+Tt2i;rrFLHyi{6&opTaR7X@dYiI8{~RR!r+@I-m$t*e$(%+Foo zkjk0x%pF}oq`EqX{4Uy=u3??@V^HvX)>|W!_jt zm!?Z-=zN`2G$)aV+tqe+6g8-B0Wi-P9MxDa$V7KOfKSF@xyLMDPzqbUm#nU`hg zqvWOUp?ajYHfsP)M!&rVL+dqrhM{7z77SM#Jv)ps1Cq|3)Tt$0w0r?_&c+Xz+{dP9WCZ zhQ4Zg2ud}WDg2k5XykN4Z*C1^*$mvJtPlEE%tEX%nB29IG@|wN2FWd?2mBP2ygpod zp-Wl_5)JOJ-~*vPHWBp5wO5+J?W)3-l^bq&DyuPyl0{&PM_$iR<0ot89@e^Mt#2@a z!pbtIE(-Ak2OOu9R=R_XXr1v)S6msFH}m4HgL0-=NL-#I;N>m7k@AvN}Zz#5#e6S{KuF=@cpO5eJ ze%mO#-YfZpqvKAAO;Fy6r38*=3I(>{D|>EOm;5zDQT*C2Fb#yj7BW zc5kz*re0uS)xmIOI>Qt)1ZJqmhBpOfOY9(qYe;hkhG=^^o$iG%etf~Jdms3M?8=!6M;2gp2so!Eb7A zP4*xAgzwv(5YK=-XJ3I&^W~HUmZbo zodoGXdTyHIf1oks~k;|fzAi!7#Z0H#~HX2rTZ1V9}C$_xW*v!qn++$8MvE8bYxuyjCIwo7-Z$Oq{tBjinMwI?dQ%Zh=~Q5b@ult#2@Te~2d1C)5oR0G{jlB8ZQVK%aaC${w`C=(;lqM_9srbVmNk4l;UJ@s{1waQ*eej-F#V4zdk z&^XRD$QeXlBhb-axQ#VRG^X!QZFM^2*ROEiEg?R1aTIlklA>qXr4s~gB?eujUSp^6 zt*Mu{R~|I;hsTf~cGqgh7%pYHm8N7KjSDpa;fIR;+||)J_0UrS{V{7=BElSjo`@HG z$N?MuthX5ICT?T~&#&F_B!8E#X>TKnP8aG)>B>xsB(r_fCnVE%W}1eWcGQ4c7Ba6? z&HUk?e@+=pj0t^x0tDb%eAUAY%%brt89jm#C{3bA+lP<0DUXkjHZnwfCt ziBN@8QSOy=dvHUDDOXiTC^CG+Ms`vfC^mgWOKFTrD9#u!3TdK#C!n8H!SPwJ$Kb`IT12zO z3POoWRNCTTOylElq)eX}H0h{ULb61m;jLuj8rF91m~u|Z)1z{ah5?!eZ?oOpGvlE^M|1{@LUj`PF)ECnMii`Sf6W46s3w#&j&`@Vnl;+QC{>0t~Izu0!YykR`6GMLhO1X z+|G0X$o9D+GBQ87M~KO+M{hsX+5hMRB4(9$NkA8d#SAl49bp1&=f=$;zV`FFWzYhJyXrKHZ#FsB#yv=T~u8T z{2ZW?vSiG6IM~O=lrUXkbN_0B^K>if{2su5Q_Q>?zvtuZ@`3Zc_$^?c1Df+v$!m zo3yj6#)TY#9-)AAxxMsxp^~=qhGp0f{OgK7J^6k|Nl#Fo+-cwRotXq)iO%^6eW#o1 zz%+7fwn0O*oN#4p(D;^_lv~3^)OA*^$f)YY=C#1$5zJu;wKdJ-)lg=Vv2A=096z~l z>wF5B)ns7S1jx*E`p4+Bj+(VI&NkGep{@s;BHx19uUt`V%0k2UEAWNSc1v7q-ik(g zZ!W-#Ob`9zq%8C9WSc0xhY

73N3&i-FS)|1S-}d4l z^$Rmp_^pjvtejg^#)OT<=Mvkzs;BthYjzd`NV689Md8oM+Mh`D?R6={k~atK5&MY| zf-&Xr&2WUDvg&hMvhsM|goXZEW8~KU^TLpcVok-(yEO{674XN8SbH(%v+r(H#?4X2 zqqBPG)`Xtozt9v#jg`#~BQt97q;jDA#-lLVq54D7)GAA|9|ytt77^vNwG=U;b;T&v7~^+P3GXy9f)0RKiyr*)lrZ#Zuq>exj;Vg z*S;VMtql|pL(a27*%&>Iud{9KJ(bbUC(p7EiY_91`MJ2L`R+mwr&bVj z>>5@!uTcL+4}Q#x)24(9BiA|WMl8N?ka<+^bLknuP~@w#W8NYcUClTbfz+7z9=V{f z2h87~#xga&OK;j9ElP=l3N7n87%#P$SFY-XRhKIfAxf}E0fM9q-Dz2b3d7NGZd5jrcEzaRP6jY%MI3lX#M2-|RLBc&;gY^=@mDJo3XBtu ze28c-3X7nARDuqnttO)T-#nqAB<~B8LL1_tww*KAHLDaA5c%z_ ztz_}}W7w}57(7(lz7o9rU@2n>h7<8yfINl{zGYHgMu>7V9OGTp)yOpxSS5c=wnscB z8lTVQ%`S~J{prboW}&N<)$5u?=9+8qBUBwqohtyAoF?p5rWW5~DX~M-Sk1mtzpDvXJ z5(Y$dD-J(T7X=50Z_GYDD0wjJc3H8I@O615zvEuIq?aSP1%(*!3!AklGJC)uZ*W2= zBwW(nvQK9r*W4*Eg&&n<9Xh#pVO8*tI5v(uhG}f^azigi!O`wY_K%DYn00E9@3Ohv zP8$+p*NQsh=+~s+?5$MG4(}@TU;=B!qBmG<7=7T_2&7N)RLslV-@b@-!UbP4bp2U1 zHxd^Ms6xmS)S87>NP3@4&v)^Qon;X*t1Gj8lEn$Yar_Ee${df)Wvjuc`N>%~8q^>a zlJ~&Rz8fXVRYF>1vaqnJkZ#HOuU85%xKs-T*s>||n_S3;wOyck`3fL9k*c!x)bp;z`jf&OK|W4m282&qwqJyBflZyN zg(MOI#CXrSjG5^^Gxx-Xtya+f++|zgxw@xaI@*{SMu0&8@8f zNnk!qnegXX>E}b=bnv6cm*{tt6xFqJ*{~tkC^udQfnjCgae6-Ri05J)!|>Ap7que2 zmOgXQ?2774dCH+TD`w-%pwjD9dj-F_Wlu@7M)C=-f!;_y1xyI;+6 zj@0k$*a~kMtw94IFwfY2*Bpo-VxZ0~szAihyjidcwB=o?S1h}uA5b?9DyWJ!V7Dbf zX1gnDJyRvI0qr2W6AsSSqR})dhJg^j2F|I%v{7b3$|#*+9lUcPR#o{YRY}VPBvkie zRe#zxwNK2BI$jNY4J_jl-IzUN2V*&tMU%!?u%gf(N2+<)goErn|PMO z_Ro_b14NkC7(V}=g?KBh0cs<=MqK)bYu2e3{4`3mB*eRWL&ZwL+1}=67n25SJch|3 z3?kpG;k+5U_EB_J6>E?dsxz5mHxc7}KzVUA?bROma4c!~!oxsW+eVfp;d6~NDd(B# z3XBj+f`pXS>KxGqjtu^D_3p@Gmi;iiI^~&KLrf}h-S&tRB+99)0w2Fc(=w1W{B>`A z^ROa|kv7-S;iiW=(@|uZc)I6@yD|A0t>rt7G+IMrIAP*JP&SWz+Q%Gd*1OXG;hQd} z&|H`=dM;&hJTS-_om10%0t^!AEom8^R`0`#)JF<0~rZT`Z{kOD#1Xr`~1V{4~&h=AZH6c?NO z0Z16!Xuuxk48jwsbuQ|QlD{G@oA$lFq|3RrMtmf~Oip@h+uOwQg&`h6j^UFSyjZ(h z5ceav23YXM66?J8aXN!FiaC6-t~yb@mYW%iWUw~w;MktmTlTI0r9sG0Dn07TyHJVr zcEoRP=)RB}J5J|qk1-@z|IQZ$SQ+hS-{4JV?nC&9c1 zc47I`QB0KaqP(vh77cG^J_%RJ?Cr`x(LiSX~jNjv0F-H+OY= zQ@NJVKG;G#io;`4XyTbH3i2wzx1N9~o0)K1HgebmvR-F;kAi!vfU9a~nvu;2z^<2o z^N%5*qlzB#z5j?bj=b2(8B0;!5JKHegM}wDaf5&_`_>K9XJndpaV3@^EanTe2hYLo zcjAu4i#`5r?19zjyF$Aub=#DB8+|X7*7yLOsD&lWkq8bEKR%eEZO|%PoB&AP=voU-C0gXqf5sa{!n1hA+TS-{ z;B9v`blLW7$`1J=_1-wZSM9H(ARlU`(1F7Xx#0Jf$$9Woud1qfLxPc-vXPVIbzCS) z_Db{pd9RGFw@-B2hK3g^yDs^(h<4=Jt4;fup9qnj6($?44eyY_-e)kx3RxC<_|e6` z`=*$*3F%!QX36ItRykn4vwWlu5?Q1cb_-pmioy1PdDSW4H8n|aLjO<{3L#55gZA!| zarJ-@B=sQAjF?4?7?d~@CMRK;Y+SA3O9vZ^TPpeI<6_A0fNamA?CuRkq?LGqh&r%3 zWJe3)yjCF~$ulVuxu#sy_;+fIa`!k(tH_NEza_0)|GrIEe22TA*1*ms)l5FEv(znJ zmLH;^4fm=P{%-+)iEc%h-_^rUrC$W7O3q|E$gPy1lP>k1Zx^P?JNGC0=%mWO?Jvos zYuN|Qh)0I(QWnd<(E7g+&s|}xJCKFPew4j|es5^^z~SY-P9d{N*CFo7bMg~M7%!(+ znewvq44Uq=L)^>aKMp-HIm}Qz6S;#pxyz42@*uNj5Vky9$Df!|(n^+gum)y#_I;i# zNUfTW*nPvpAUcOUtgpcZUEPFB!ZjrNqef!!N3DkzNw{ktwM zQg?j2V2ybd1w!%>|E=*EUU-xHgFu2`s`L4AyX-kQj9feHmb7QeQ4iX){R{^tH+tcH z_JhV9dqVrlZk5b;R{VBrNnZr6!{k~pzan$2j=sKZ`i@l9BV%Pv)Tgew8zu##1;2FA=}qiv2P2!dMr9Pl7#!~m7w7`#7Q@9 zuiEhnzsx?{sK7()a2_@~J2+Dhw@)1;Uf*7*t2u`G5XV0+tT|&H@rLqlTY@r5tqo;& z+dT+0^te0OKwWR0oKC60?T~TVj(k)7gHC#u?m~_Z93w_f^rk-@qWxZb4l5%#=|4z7 zn#Yo5A?n@TUh*KaLCB5DGSb3_rBN##v$JI-=V}^VFo!({kUC?cfixd_=Xp!V)RY`wYk8_Cu(E8ac@i7z?<%GL zu6z+BugDD|(_MI^!O_w~nH8YBaQPqThHy~piFq-8{1dWWd)vz|#gISXz-nJK~{vmXh{42j4y^N}&A zdC7=;XfD;$$73K;EM*8)zXzLn3#FAAao6xNfwdrcN&GlEjOTh|CMGy(l^og12U-}L zqDSu8?vB5Q84~M3?3E%AJmqFGJx+M?z4eT~W|u~#&pnqDh;`DYcn&3v*QKL6oiVs% zK6d`1EIIs+v}mgHGO2y>Rf=OpuC(pNfM{ts4SgfPRNT3z9gI!5HVnVzoCHhP9cYX7 zXGA1{V|`nDX}(^kVC77jS;q;*9!&eNmxYIetysE4-n^1^{fRtTH!V@27OD7pQ^>WW zg07n1W7Xa&ryFwD<3Lc{>1*Mp+*WyzJiITFa}M1)TEdy$zTU>VE4|U0O8R^Vbamvy z#U5P88Bjy(BM4G<;`M&vV_(cxD}YCYYk5{1V5*KMMVTmtPUk}`8B*acky{Tiu;AjGd;vA4)!4db?1nL5 z-Bn&E^%8nXMw@Bfx{<}>PeLn4p^ZDwpyFtJq#irZ*!elR467(?*EcN+1$`OY(@I{B z&pU|4^#2903{UeG=YcI4ZZCPmwCBwDszb6`7dP5;fe1+(g!(9^)#=fHc75qc^vy;| zuv4rFX{Y=qZ$mag%#T!Y;5ho+VYiGPQKO#6*2UM zjxMA~gl5NjC2QkKH4K{|>=MJ(W)e{1N%d(z>&>80iX-3xPyww!{;gNFESa(CX;O$d z{21X>w!b(Oy=f4Qm-}{f-1v0SDA_Wxn6yGi&jPd*y?XTq!3p9q6i8r1GlbF&(njB? z9T+Oy6Sa1mL8HON(jo=X69R`Bi0E4@e1fLL+0D+)EGf41!I0FQC z2=4IV5HvVJ0^yN+->te;_g1}E)qlEspYB!b$J(dP*}a;e|JZ&A#{)P>fTP%pmIQWU zxw)>~6%`adLDSQe68rsJ)&8Ln$Niw{$a0(v(5XfUUun|tQR@pup_FJ{ahMlq{_!|!|>E_X_T(FeJZA_mayE)$X zmq!>IlHSsURkd&x&ipvl>$s0zX@!KRR%dc0>b@-uXXcYV%N1BpvkmdWiim|eR@ED( z#ke^Sf?9eJ;Rz-e6D4x&^TTAMbn0_u1beg54r5`7Gai=>Ce=#m+$n)m$qsvI+c)%d zwd`<#uz{#P`Mwgp5DE0GZsFq$3*Zy^T(2NbRlMqYgZHcli4*$Vwa4t7Gs`bIfj1QO z_K>J`v&7hbMg12YLVayD}8kPRl>W%g))a9q`qN4))}ltpCw~Q)<&2 z+c#ViBPA55Cy}RKQXR|H_m1@2#JHBH739)=<*74+hD8#N)4%<}0^-t%5IBZm*K1ntFFd8a`|llnX`d9uaSlZ`47(ik}9A%~ST z#(zz5YUuZY9wLP`FkOv8yY(8Q{ulY`t@37kfU>c>H;K&wco7#1vQOp4s z^~^OI1gZv{^7r8_IJdt>JJIB&e*LCXn6l<7t!~BIV1j^8sO1kV1Z@;Mchlmgj7)4H zr%Mt`YYaQ(Eau%q(%w3>Z5^qO?#$woZn?XijSrL@c~L6zTC<{!BsO?$eGGy!Q=W7A zWyY!zm<~o(T3f~jp~@(pR$Bdj+^)!N9=%ABYVxGld2!pZgDbmd5>ETs!i_#R``ec> z5(i80!gFH(FgC3Q-GUpl(N4d>($3a?Q>H@6SfEk|C)Z723>iNv@>`Sx?ZLjM#fXB* z^6lV+P)I2^ACSBWQdC9O~+L7Yv7~WCjtlcn`KJZFk@nZw>b<=vc`xBHBW){S7?c@ zgE3?RRzs`t6q|3!M+}m0cVuF0U2}f2p{efLCL86EXmie%Sa7jZrKi!6|yub<%@$m*9ucp{6KKA)WUSBhdt_h*L>p}Zxwo;oteVcE47JLEqq z;}iwN{6;OOJf{QjL6oLCWOG?v$tD8bf2VfPI8ACD>Ra*tgs`|jY=fn6^_;X8D-Gs{ zCLRH30}0+JQqTZ*Fd_+HV_6fL9ni@LHow0CJ)=*a@pgoKN9of>Ozi746gi%j&Y;d< zYOW}oK;tH!tw-lU3p^hQS=R?SxLf}A-C&}&se1pS?J%9k)KK+h`5t57ac=ML{za6J za7nz_v3k4~>p&o~p7dz_lu4jA!M(1gokxiqb_= z^QEJ{!i?@fBiD(uso)#&7-t%&-)l;x7@ZFlBi-6R7&CXw*E?cmsh{!IKW{C)t*1Ob zXLo}~XhZMorE&<>Uk#AZb^>bZDrZzq2Q}Y?+n!|t#*hzB2aKRAh}Ii$PDVrxXJGH3 zQHv+`v7gKEhh|TgC36g;-m#BugCG$|y<*rqj=3ArZVx5G)Xn{77U`YVz@n}sJ87^p z5AavvkRt;HXI2eA`ocKzX=fUp#eGp@ejWFKj{E^>)98(<+a_a!b-dK)&_v9wek2*w z-yLLe<6r!S*W!G$&Q|!`o|tmo4))@Qz3D3*wAD%*_j`zy$CDs=OUM6)fwl6@n9|QO z#dj!Ol~{gsrPzSlqXIarxJ3G@;8!l*xE2pqy16SrFO*qecP##?wuxWpwPT*^YwQSS zJ2V+dON}|jyGoJ)k4xE&$ESh$QlF@+2;jIOj+>*!d+aDt`s7W75zEV!ud8RzQV;Nx z{z7$zn^JDER3;*Lio)e>uYI0yu`hj!Xm2egY*hd^7yl|%7=o&5F~xFx&~54`K73d3 z7H5()Cq)n4Z@|hlL&bFzsL@8qlAAZH(Ev2*&rynBJ4f6``_t)<^X)$m^G?{7e0}Tq zLf9c5cls+(4sw}d4UT{JyQH*z@7o5E`+3j$n<;t+zxSi^q#=2fAd$+gYK74}(EOVT zsf;2tPAsJ4nNiI6E>I|eznqYM_Ei`Ne{A(FhI(M(Tu;ZLyP<|TaVX7l;p*GWq}`qN zQ4)5tUzkelrHZQKU!;$0z!H?+9u=^xZC|zCK$EpQcbC`YB z0_@IzN-w~k75%pX?H7@bc zBrdV1v;&dSF?&>J;j9+UPlUcclw7p;csoh)rFfvTy{pha{ka6;f~956*P_@8`x z8Eluo-CmgEWH}SgeZ4&1fn%d3W@PXl{P6lv7%=*Y*l?H8h@Fq_& z3eVO0l(#z9*vm^?i}-t~rg|aAGb=$h+nD97mjTu@FBWgh#mkDv^G_ClZ7gWh#4UZj zIsV4nqjN8TsS2yCU8lpyQ5ju<;8s8rGky_7Z*6#=J(9Ucmj6WV4ej?s%BbfHPIiI? zc!IZsW8{L{t1@#h(D19;G##or>dd6K=M_46?~D0p1bIEGqFV0UJzbE7qaT{UR4?6EYD844$2HXecR=>6)sxGAaO!J z9FZ}Lb*1P3{8T2I9~x1&*T%qO$IR>Eh5Hq3{G{g2ky9N1GnM+GUwR4#ft+%9h3TA{ z+-ItgY^b8y@Op^$HE_&M(8lJS)ICx(EVA8K-rp$ld3dSYHwN(Et5L-d+_~In%Wp0{ zBU!Fi)=%if-Hk&~8^Uvk3efnbWX4xDsXj1{(H}V_hOl}9dajzhz7_@J_=V=zy(r0m zkfi_(l@Es`Ut7NzipsXBCRUwQgy{0%akc!UJT;i<0`cf1K7L$Nx2ddQ8Q}7fhbBS) z!38-(qdJ9k6qzoo<~fOXtT`J_PXlRLfAy0Z? zrf20|d@wuqLrMEgIwOc}a06Ghy<-gSXBcXg-8FG&a2CWd6t264N)2CdHgXx+!DD+- z%yj;o<|8XdWU2X%-eA?Ng=fX#@*UMpD~&fr>33w|xe+pjK*t%$Tc|Wn-C^nA^;Tw5rGxF zkqBRp`?@`R9GA) zBFqmH5cwC@e;@>CI{703_n<^U02fb$ucHqV0r3Cd=R^cx0)ikSY3V;~c-S}-iTxV| z20@-k09ePyS>M-<2&@f&iW7mAoxFW~0Z>7qf4SxXpfD)pA5M9IKeMjB_b|cAuJ>Fh zB5ghFkbl$2gxx=6kljNau+< zh?zHsxYp0T00EAvs`Y&0iXY*eL04WQQcqKJIf&D&y}D4=9qOFeocx+^LFFGuHD5uL zHC2j8swpRIG!3Kl^mi(_XsFOiGF@a)zqBMn!75aglBP1JefrO5B(`4km1&?yUG#D+ z^Goe=@5ysg;*L-4cAvkDcSs&A`2cEb+CC;W`d(_Yp>BO1HR7Jhd3%$vhzCJ=VZd5l z_jlTfv>YN*u?JUQakhpYUdZ%h@2`X%+bZTeq0&)BPWWN-LZof_R2o-73GW3gx(~1p zw$qN$FUn?voA$IP<)tH8Zd5Qb3-QXG5hQ~!cp z8(UgDiid%P(o>TjGdD$}H~v~?LQh<3j$42P^RhNQj>}|d2`Z3%GD>DWm~s1kk4>zg zZkmVFV~d%D^G8amc=IEw>SSVZz|-bY&J9et6h!kUz)Kl7n%VIQ)({&7Ta{){gjzvx z&ipiw2f6SAtoxtVU2GGSgsK3LPc8+Z5`Qk*?^8p;_=~w*c+VX$IXbDMo*JpZQS0Ut zV_-TUrSt>9P_|`qUAG*KQ4FF=&F+lS*iBTCm%B}QRp+K=OsamEv|llHZNC)EM<&zxHD+-TGd46gH%bSIUcS6~O#p%DeCC+A|2i|WD#cLUOz*&fOV&;AnDaP= zT^&JX(+@Do#`sE<8rwa4pUA|xKn1P4GUhn-^-a^-BBP}j;H}5lGw!)(JToP9g=r8C z9OPUAhYUAIgu~XU2T?yPsb$_eczQ3$?6POCLY7#xyM8_?Hdx2lG?C#ax#21-9=5B3 zL?a33bz?%HNvP0OcIoeNI+sa>FNX!QPa{&luJN`E^nBq~30l3x3EfrZi>z0C>3g;F zegFI7RQFI2EQf1dNM>-6|w8}DF7ibjYr?%9P9PLo_%f(3T&HXb(0fCc{>J`PUE zz{us{4UxInLE(|w^@?l{ww;~R_cqnIWsYF#@9yxa@(vw~M&M8{sqIvmXPnWpx93GF z?+Izoh8ex2c=N3gy*tc50sMiE{+%im)1(O4p?${EqlhWK`!tvqtOl#&{m6Yl>EHJY z@FO~OrS*vF_t?Y*lgz_cbT=Q!W>fFjQxjRQ>@7m+ zq0yz7k?a(~)bI-#w$4{{xrM=^$5v8X1!noRiQd^s)#ZYLE6bPbDW2!2wwLj-Ctm4V z?V1uF#W0@=vA>+-gAO9H=slB#D}_gypp&|)SkhP>@VpZ=eDpF}2!49)40N=WvzgJX zvpv@@H%s!^Bg0R3-Ndunc=!TfBKJZI{}XQS0f7BUJbyZh0JEpU;!02^~ppuX%Ok6?fKB0)f#6_e5|98m!E}BSp2VX~knAktH8Swv5XPUl2QdwPU z)GEWs-g9#U>pVtY;!V{jMe5|PXPuedsWO6CEd+7cKv~jpb#~#L?iOvEH{03^Z}Q=4 zoZ`2L*7ZOWV(q3WAEvT`v#$ dict[str, set]: + """Calculates the first-degree friends for everyone in a social network. + + ### Parameters: + friend_list (list): A list of 2-tuples of representing reciprocal + friendship links. + + ### Returns: + friendly_dict (dict): A dictionary of sets, where each set contains the + friends of that person. + + ### Examples: + >>> get_friendly_dict([('kim', 'sandy'), ('alex', 'sandy'), + ('kim', 'alex'), ('kim', 'glenn')]) + {'kim': {'glenn', 'sandy', 'alex'}, 'sandy': {'kim', 'alex'}, + 'alex': {'sandy', 'kim'}, 'glenn': {'kim'}} + + >>> get_friendly_dict([('kim', 'sandy'), ('sandy', 'alex'), + ('alex', 'glenn'), ('glenn', 'kim')]) + {'kim': {'glenn', 'sandy'}, 'sandy': {'kim', 'alex'}, + 'alex': {'glenn', 'sandy'}, 'glenn': {'kim', 'alex'}} + """ + + friendly_dict = {} + for person_a, person_b in friend_list: + if person_a not in friendly_dict: + friendly_dict[person_a] = set() + if person_b not in friendly_dict: + friendly_dict[person_b] = set() + friendly_dict[person_a].add(person_b) + friendly_dict[person_b].add(person_a) + return friendly_dict diff --git a/src/part2.py b/src/part2.py new file mode 100644 index 0000000..19eb29d --- /dev/null +++ b/src/part2.py @@ -0,0 +1,28 @@ +""" +The solution for Part 2. +""" + +def friend_besties(individual: str, bestie_dict: dict[str, set[str]])-> list[str]: + """Calculates the first-degree friends of an individual in a social network. + + ### Parameters: + individual (str): An individual in the social network. + bestie_dict (dict): A dictionary of sets of friends of each individual + in the social network. + + ### Returns: + besties (list): A sorted list of all the first-degree friends of the + individual. If the individual has no first-degree friends, an empty list + is returned. + + ### Examples: + >>> friend_besties('kim', {'kim': {'sandy', 'alex', 'glenn'}, + 'sandy': {'kim', 'alex'}, 'alex': {'kim', 'sandy'}, 'glenn': {'kim'}}) + ['alex', 'glenn', 'sandy'] + + >>> friend_besties('ali', {'kim': {'sandy', 'alex', 'glenn'}, + 'sandy': {'kim', 'alex'}, 'alex': {'kim', 'sandy'}, 'glenn': {'kim'}}) + [] + """ + + return list(sorted(bestie_dict[individual])) if individual in bestie_dict else [] diff --git a/src/part3.py b/src/part3.py new file mode 100644 index 0000000..76eceaf --- /dev/null +++ b/src/part3.py @@ -0,0 +1,32 @@ +""" +The solution for Part 3. +""" + +def friend_second_besties(individual: str, bestie_dict: dict[str, set[str]]) -> list[str]: + """Calculates the second-degree friends of an individual in a social network. + + ### Parameters: + individual (str): An individual in the social network. + bestie_dict (dict): A dictionary of sets of friends of each individual + in the social network. + + ### Returns: + second_besties (list): A sorted list of all the second-degree friends of + the individual. If the individual has no second-degree friends, an empty + list is returned. + + ### Examples: + >>> friend_second_besties('glenn', {'kim': {'sandy', 'alex', 'glenn'}, + 'sandy': {'kim', 'alex'}, 'alex': {'kim', 'sandy'}, 'glenn': {'kim'}}) + ['alex', 'sandy'] + + >>> friend_second_besties('kim', {'kim': {'sandy', 'alex', 'glenn'}, + 'sandy': {'kim', 'alex'}, 'alex': {'kim', 'sandy'}, 'glenn': {'kim'}}) + [] + """ + + second_besties = set() + for friend in bestie_dict[individual]: + second_besties.update(bestie_dict[friend]) + return [i for i in sorted(second_besties) if i != individual and i not in + bestie_dict[individual]] diff --git a/src/part4.py b/src/part4.py new file mode 100644 index 0000000..387dc64 --- /dev/null +++ b/src/part4.py @@ -0,0 +1,80 @@ +""" +The solution for Part 4. +""" + +from typing import Callable + +def flatten_network(bestie_dict: dict[str, set[str]]) -> list[str]: + """Creates a list of everyone in a social network. + + ### Parameters: + bestie_dict (dict): A dictionary of sets of friends of each individual + in the social network. + + ### Returns: + individuals (list): A list of every person in a social network. + """ + people = set() + for person in bestie_dict: + people.add(person) + for bestie in bestie_dict[person]: + people.add(bestie) + + return list(people) + +def besties_coverage(individuals: list[str], bestie_dict: dict[str, set[str]], + relationship_list: list[Callable]) -> float: + """Calculates the proportion of connected individuals, to the total size of + the network. + + ### Parameters: + individuals (list): A list of individuals. Assumes every individual in + this list is in the social network. + bestie_dict (dict): A dictionary of sets of friends of each individual + in the social network. + relationship_list (list): A list of functions defining relationships in + the social network, selected from friend_besties and + friend_second_besties. + + ### Returns: + coverage (float): The proportion of the total number of individuals who + are either a member of individuals or connected via one of the + relationships in relationship_list. + + ### Examples: + >>> besties_coverage(['glenn'], {'kim': {'sandy', 'alex', 'glenn'}, + 'sandy': {'kim', 'alex'}, 'alex': {'kim', 'sandy'}, 'glenn': {'kim'}}, + []) + 0.25 + + >>> besties_coverage(['glenn'], {'kim': {'sandy', 'alex', 'glenn'}, + 'sandy': {'kim', 'alex'}, 'alex': {'kim', 'sandy'}, 'glenn': {'kim'}}, + [friend_besties]) + 0.5 + + >>> besties_coverage(['glenn'], {'kim': {'sandy', 'alex', 'glenn'}, + 'sandy': {'kim', 'alex'}, 'alex': {'kim', 'sandy'}, 'glenn': {'kim'}}, + [friend_second_besties]) + 0.75 + + >>> besties_coverage(['glenn'], {'kim': {'sandy', 'alex', 'glenn'}, + 'sandy': {'kim', 'alex'}, 'alex': {'kim', 'sandy'}, 'glenn': {'kim'}}, + [friend_besties, friend_second_besties]) + 1.0 + """ + + everyone = flatten_network(bestie_dict) + + # Just return the proportion if there are no relationships + if not relationship_list: + return len(individuals) / len(everyone) + + # Find everyone through the relationships in the relationship list + covered = set() + for individual in individuals: + covered.add(individual) + for relationship in relationship_list: + for person in relationship(individual, bestie_dict): + covered.add(person) + + return len(covered) / len(everyone) diff --git a/src/part5.py b/src/part5.py new file mode 100644 index 0000000..d0d9df4 --- /dev/null +++ b/src/part5.py @@ -0,0 +1,110 @@ +""" +The solution for Part 5. +""" + +from collections import Counter + +from part2 import friend_besties +from part3 import friend_second_besties + +def predict_feature(feature: str, people: list[str], + feat_dict: dict[str, dict[str, str]]) -> list[str] | None: + """Predicts the value of a feature given a list of people to search through. + + ### Parameters: + feature (str): The feature of interest to predict. + people (list): The list of people to search through. + feat_dict (dict[str, dict[str, str]]): The list of features for the + people. + + ### Returns: + feature (list or None): Returns a sorted list of predictions of features + if people had that attribute. Otherwise returns None. + """ + + # Create a frequency dictionary of the values that the besties have for + # this feature + values = [] + for person in people: + value = feat_dict[person][feature] if feature in feat_dict[person] else None + if value is not None: + values.append(value) + freqs = Counter(values).most_common() + + # None of the besties had this attribute, so continue + if len(freqs) == 0: + return None + + # Only one bestie had this attribute, so it becomes the predicted value + if len(freqs) == 1: + [(value, _)] = freqs + return value + + # Get the list of most common elements including ties + return list(sorted([i for (i, v) in freqs if v == freqs[0][1]])) + +def friendly_prediction(unknown_user: str, features: set[str], + bestie_dict: dict[str, set[str]], + feat_dict: dict[str, dict[str, str]]) -> dict[str, list[str]]: + """Predicts a set of features for a user based on the features that their + friends have. + + ### Parameters: + unknown_user (str): The user who you are predicting attributes for. + features (set): A set of features to predict. + bestie_dict (dict): A dictionary of sets of friends of each individual + in the social network. + feat_dict (dict): A dictionary containing the known attributes for each + user in the social network. + + ### Returns: + predictions (dict): A dictionary of features with a predicted list of + values for each feature. + + ### Examples: + >>> friendly_prediction('glenn', {'favourite author', 'university'}, + {'kim': {'sandy', 'alex', 'glenn'}, 'sandy': {'kim', 'alex'}, + 'alex': {'kim', 'sandy'}, 'glenn': {'kim'}}, + {'glenn': {'university': ''}, 'kim': {'favourite author': 'AA Milne'}, + 'sandy': {'favourite author': 'JRR Tolkien', + "university": "University of Melbourne"}, + 'alex': {'favourite author': 'AA Milne', + 'university': 'Monash University'}}) + {'university': ['Monash University', 'University of Melbourne'], + 'favourite author': ['AA Milne']} + + >>> friendly_prediction('kim', {'university'}, + {'kim': {'sandy', 'alex', 'glenn'}, 'sandy': {'kim', 'alex'}, + 'alex': {'kim', 'sandy'}, 'glenn': {'kim'}}, + {'glenn': {'university': ''}, 'kim': {'favourite author': 'AA Milne'}, + 'sandy': {'favourite author': 'JRR Tolkien', + "university": "University of Melbourne"}, + 'alex': {'favourite author': 'AA Milne', + 'university': 'Monash University'}}) + {'university': ['', 'Monash University', 'University of Melbourne']} + + >>> friendly_prediction('kim', {'birthplace'}, + {'kim': {'sandy', 'alex', 'glenn'}, 'sandy': {'kim', 'alex'}, + 'alex': {'kim', 'sandy'}, 'glenn': {'kim'}}, + {'glenn': {'university': ''}, 'kim': {'favourite author': 'AA Milne'}, + 'sandy': {'favourite author': 'JRR Tolkien', + "university": "University of Melbourne"}, + 'alex': {'favourite author': 'AA Milne', + 'university': 'Monash University'}}) + {'birthplace': []} + """ + + predictions = {} + + for feature in features: + # Start by searching through besties for the features + prediction = predict_feature(feature, friend_besties(unknown_user, bestie_dict), feat_dict) + + # If there are still features that weren't able to be predicted, search + # through second-besties instead + if prediction is None: + prediction = predict_feature(feature, friend_second_besties(unknown_user, bestie_dict), + feat_dict) + predictions[feature] = prediction if prediction is not None else [] + + return predictions