Comment: | pulled in docs/manual changes |
---|---|
Downloads: | Tarball | ZIP archive | SQL archive |
Timelines: | family | ancestors | descendants | both | v1.65-telemetry |
Files: | files | file ages | folders |
SHA1: |
3797a8bab473e1401543f1193c4d9fe8 |
User & Date: | bjbarcla on 2019-02-14 15:04:31 |
Other Links: | branch diff | manifest | tags |
2019-02-20
| ||
16:21 | added loop to wait for testconfig to show up (combat nfs cache latency) ; added testconfig path derived from launch:execute payload to search path in case tests:get-all has gaps due to nfs cache latency check-in: 71819d884d user: bjbarcla tags: v1.65-telemetry | |
2019-02-15
| ||
18:03 | wip check-in: e9f1734405 user: bjbarcla tags: v1.65-telemetry-sideeye | |
2019-02-14
| ||
15:04 | pulled in docs/manual changes check-in: 3797a8bab4 user: bjbarcla tags: v1.65-telemetry | |
15:04 | allowed for nfs latency when reading testconfig in launch:execute check-in: d75080c8ce user: bjbarcla tags: v1.65-telemetry | |
15:02 | merged in trunk to get docs/manual updates check-in: 73cb4bf58e user: bjbarcla tags: v1.65 | |
diff-report.scm became executable with contents [722e4fdcd5].
︙ | ︙ |
Modified docs/manual/Makefile from [a774194453] to [ec9633c3d9].
︙ | ︙ | |||
26 27 28 29 30 31 32 | # in a makefile recipe, $< denotes the first dependency; $@ the target # design_spec.html : $(SRCFILES) $(CSVFILES) # asciidoc -b html5 -a icons -a iconsdir=$(DISPATH)/images/icons -a toc2 design_spec.txt # | | | | | 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 | # in a makefile recipe, $< denotes the first dependency; $@ the target # design_spec.html : $(SRCFILES) $(CSVFILES) # asciidoc -b html5 -a icons -a iconsdir=$(DISPATH)/images/icons -a toc2 design_spec.txt # all : server.ps megatest_manual.html client.ps complex-itemmap.png megatest_manual.pdf megatest_manual.html : megatest_manual.txt *.txt installation.txt *png asciidoc -b html5 -a icons -a iconsdir=$(DISPATH)/images/icons -a toc2 megatest_manual.txt # dos2unix megatest_manual.html megatest_manual.pdf : megatest_manual.txt *.txt *png a2x -a toc -f pdf megatest_manual.txt server.ps : server.dot dot -Tps server.dot > server.ps client.ps : client.dot dot -Tps client.dot > client.ps |
︙ | ︙ |
Modified docs/manual/complex-itemmap.png from [e000b2b035] to [69224f5aa7].
cannot compute difference between binary files
Deleted docs/manual/getting_started.in version [7f26703057].
|
| < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < |
Added docs/manual/getting_started.txt version [5c6821a0c5].
> > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 | // This file is part of Megatest. // // Megatest 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. // // Megatest 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 Megatest. If not, see <http://www.gnu.org/licenses/>. // // Copyright 2006-2012, Matthew Welland. Getting Started --------------- // [partintro] .Getting started with Megatest ------------------- Creating a testsuite or flow and your first test or task. ------------------- After installing Megatest you can create a flow or testsuite and add some tests using the helpers. Here is a quickstart sequence to get you up and running your first automated testsuite. Creating a Megatest Area ~~~~~~~~~~~~~~~~~~~~~~~~ Choose Target Keys ^^^^^^^^^^^^^^^^^^ First choose your "target" keys. These are used to organise your runs in a way that is meaningful to your project. If you are unsure about what to use for keys just use a single generic key such as "RUNTYPE". These keys will be used to hand values to your tests via environment variables so ensure they are unique. Prefixing them with something such as PROJKEYS_ is a good strategy. Examples of keys: .Example keys [width="60%",options="header"] |============================================== | Option | Description | RELEASE/ITERATION | This example is used by Megatest for its internal QA. | ARCH/OS/RELEASE | For a software project targeting multiple platforms | UCTRLR/NODETYPE | Microcontroller project with different controllers running same software |============================================== Create Area Config Files ^^^^^^^^^^^^^^^^^^^^^^^^ You will need to choose locations for your runs (the data generated every time you run the testsuite) and link tree. For getting started answer the prompts with "runs" and "links". We use the Unix editor "vi" in the examples below but you can use any plain text editor. .Using the helper to create a Megatest area ------------------ megatest -create-megatest-area # optional: verify that the settings are ok vi megatest.config vi runconfigs.config ------------------ Creating a Test ~~~~~~~~~~~~~~~ Choose the test name for your first test and run the helper. You can edit the files after the initial creation. You will need to enter names and scripts for the steps to be run and then edit the tests/<testname>/testconfig file and modify the logpro rules to properly process the log output from your steps. For your first test just hit enter for the "waiton", "priority" and iteration variable prompts. Hint: for geting started make your logpro rules very liberal. expect:error patterns should match nothing and comment out expect:required rules. .Using the helper to create a Megatest test --------------- megatest -create-test myfirsttest # then edit the generated config vi tests/myfirsttest/testconfig --------------- Running your test ~~~~~~~~~~~~~~~~~ First choose a target and runname. If you have a two-place target such as RELEASE/ITERATION a target would look like v1.0/aff3 where v1.0 is the RELEASE and aff3 is the ITERATION. For a run name just use something like run1. .Running all tests (testpatt of "%" matches all tests) --------------- megatest -run -target v1.0/aff3 -runname run1 -testpatt % -log run1.log --------------- Viewing the results ~~~~~~~~~~~~~~~~~~~ Start the dashboard and browse your run in the "Runs" tab. .Starting dashboard ---------------- dashboard -rows 24 ---------------- |
Deleted docs/manual/howto.in version [b66065dad3].
|
| < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < |
Added docs/manual/howto.txt version [b66065dad3].
> > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 | // This file is part of Megatest. // // Megatest 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. // // Megatest 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 Megatest. If not, see <http://www.gnu.org/licenses/>. // // Copyright 2006-2012, Matthew Welland. How To Do Things ---------------- Process Runs ~~~~~~~~~~~~ Remove Runs ^^^^^^^^^^^ From the dashboard click on the button (PASS/FAIL...) for one of the tests. From the test control panel that comes up push the clean test button. The command field will be prefilled with a template command for removing that test. You can edit the command, for example change the argument to -testpatt to "%" to remove all tests. .Remove the test diskperf and all it's items ---------------- megatest -remove-runs -target ubuntu/nfs/none -runname ww28.1a -testpatt diskperf/% -v ---------------- .Remove all tests for all runs and all targets ---------------- megatest -remove-runs -target %/%/% -runname % -testpatt % -v ---------------- Archive Runs ^^^^^^^^^^^^ Megatest supports using the bup backup tool (https://bup.github.io/) to archive your tests for efficient storage and retrieval. Archived data can be rapidly retrieved if needed. The metadata for the run (PASS/FAIL status, run durations, time stamps etc.) are all preserved in the megatest database. For setup information see the Archiving topic in the reference section of this manual. To Archive ++++++++++ Hint: use the test control panel to create a template command by pushing the "Archive Tests" button. .Archive a full run ---------------- megatest -target ubuntu/nfs/none -runname ww28.1a -archive save-remove -testpatt % ---------------- To Restore ++++++++++ .Retrieve a single test ---------------- megatest -target ubuntu/nfs/none -runname ww28.1a -archive restore -testpatt diskperf/% ---------------- Hint: You can browse the archive using bup commands directly. ---------------- bup -d /path/to/bup/archive ftp ---------------- Submit jobs to Host Types based on Test Name ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .In megatest.config ------------------------ [host-types] general ssh #{getbgesthost general} nbgeneral nbjob run JOBCOMMAND -log $MT_LINKTREE/$MT_TARGET/$MT_RUNNAME.$MT_TESTNAME-$MT_ITEM_PATH.lgo [hosts] general cubian xena [launchers] envsetup general xor/%/n 4C16G % nbgeneral [jobtools] launcher bsub # if defined and not "no" flexi-launcher will bypass launcher unless there is no # match. flexi-launcher yes ------------------------ Tricks ------ This section is a compendium of a various useful tricks for debugging, configuring and generally getting the most out of Megatest. Limiting your running jobs ~~~~~~~~~~~~~~~~~~~~~~~~~~ The following example will limit a test in the jobgroup "group1" to no more than 10 tests simultaneously. In your testconfig: ---------------- [test_meta] jobgroup group1 ---------------- In your megatest.config: --------------- [jobgroups] group1 10 custdes 4 --------------- Debugging Tricks ---------------- Examining The Environment ~~~~~~~~~~~~~~~~~~~~~~~~~ Test Control Panel - xterm ^^^^^^^^^^^^^^^^^^^^^^^^^^ From the dashboard click on a test PASS/FAIL button. This brings up a test control panel. Aproximately near the center left of the window there is a button "Start Xterm". Push this to get an xterm with the full context and environment loaded for that test. You can run scripts or ezsteps by copying from the testconfig (hint, load up the testconfig in a separate gvim or emacs window). This is the easiest way to debug your tests. During Config File Processing ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ It is often helpful to know the content of variables in various contexts as Megatest does the actions needed to run your tests. A handy technique is to force the startup of an xterm in the context being examined. For example, if an item list is not being generated as expected you can inject the startup of an xterm as if it were an item: .Original items table ----------------- [items] CELLNAME [system getcellname.sh] ----------------- .Items table modified for debug ----------------- [items] DEBUG [system xterm] CELLNAME [system getcellnames.sh] ----------------- When this test is run an xterm will pop up. In that xterm the environment is exactly that in which the script "getcellnames.sh" would run. You can now debug the script to find out why it isn't working as expected. Organising Your Tests and Tasks ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ The default location "tests" for storing tests can be extended by adding to your tests-paths section. ---------------------------- [misc] parent #{shell dirname $(readlink -f .)} [tests-paths] 1 #{get misc parent}/simplerun/tests ---------------------------- The above example shows how you can use addition sections in your config file to do complex processing. By putting results of relatively slow operations into variables the processing of your configs can be kept fast. Alternative Method for Running your Job Script ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ .Directly running job in testconfig ------------------- [setup] runscript main.csh ------------------- The runscript method is essentially a brute force way to run scripts where the user is responsible for setting STATE and STATUS and managing the details of running a test. Debugging Server Problems ~~~~~~~~~~~~~~~~~~~~~~~~~ Some handy Unix commands to track down issues with servers not communicating with your test manager processes. Please put in tickets at https://www.kiatoa.com/fossils/megatest if you have problems with servers getting stuck. ---------------- sudo lsof -i sudo netstat -lptu sudo netstat -tulpn ---------------- |
Modified docs/manual/installation.txt from [214fda16e6] to [73f4fcba67].
︙ | ︙ | |||
21 22 23 24 25 26 27 | Dependencies ~~~~~~~~~~~~ Chicken scheme and a number of "eggs" are required for building Megatest. See the script installall.sh in the utils directory of the source distribution for an automated way to install everything needed for building Megatest on Linux. | > | 21 22 23 24 25 26 27 28 | Dependencies ~~~~~~~~~~~~ Chicken scheme and a number of "eggs" are required for building Megatest. See the script installall.sh in the utils directory of the source distribution for an automated way to install everything needed for building Megatest on Linux. |
Added docs/manual/megatest-stand-alone-area.png version [b4666b70f8].
cannot compute difference between binary files
Added docs/manual/megatest-system-architecture.png version [d1d2f4a2b8].
cannot compute difference between binary files
Added docs/manual/megatest-system-architecture.svg version [1f9c743227].
> > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919 920 921 922 923 924 925 926 927 928 929 930 931 932 933 934 935 936 937 938 939 940 941 942 943 944 945 946 947 948 949 950 951 952 953 954 955 956 957 958 959 960 961 962 963 964 965 966 967 968 969 970 971 972 973 974 975 976 977 978 979 980 981 982 983 984 985 986 987 988 989 990 991 992 993 994 995 996 997 998 999 1000 1001 1002 1003 1004 1005 1006 1007 1008 1009 1010 1011 1012 1013 1014 1015 1016 1017 1018 1019 1020 1021 1022 1023 1024 1025 1026 1027 1028 1029 1030 1031 1032 1033 1034 1035 1036 1037 1038 1039 1040 1041 1042 1043 1044 1045 1046 1047 1048 1049 1050 1051 1052 1053 1054 1055 1056 1057 1058 1059 1060 1061 1062 1063 1064 1065 1066 1067 1068 1069 1070 1071 1072 1073 1074 1075 1076 1077 1078 1079 1080 1081 1082 1083 1084 1085 1086 1087 1088 1089 1090 1091 1092 1093 1094 1095 1096 1097 1098 1099 1100 1101 1102 1103 1104 1105 1106 1107 1108 1109 1110 1111 1112 1113 1114 1115 1116 1117 1118 1119 1120 1121 1122 1123 1124 1125 1126 1127 1128 1129 1130 1131 1132 1133 1134 1135 1136 1137 1138 1139 1140 1141 1142 1143 1144 1145 1146 1147 1148 1149 1150 1151 1152 1153 1154 1155 1156 1157 1158 1159 1160 1161 1162 1163 1164 1165 1166 1167 1168 1169 1170 1171 1172 1173 1174 1175 1176 1177 1178 1179 1180 1181 1182 1183 1184 1185 1186 1187 1188 1189 1190 1191 1192 1193 1194 1195 1196 1197 1198 1199 1200 1201 1202 1203 1204 1205 1206 1207 1208 1209 1210 1211 1212 1213 1214 1215 1216 1217 1218 1219 1220 1221 1222 1223 1224 1225 1226 1227 1228 1229 1230 1231 1232 1233 1234 1235 1236 1237 1238 1239 1240 1241 1242 1243 1244 1245 1246 1247 1248 1249 1250 1251 1252 1253 1254 1255 1256 1257 1258 1259 1260 1261 1262 1263 1264 1265 1266 1267 1268 1269 1270 1271 1272 1273 1274 1275 1276 1277 1278 1279 1280 1281 1282 1283 1284 1285 1286 1287 1288 1289 1290 1291 1292 1293 1294 1295 1296 1297 1298 1299 1300 1301 1302 1303 1304 1305 1306 1307 1308 1309 1310 1311 1312 1313 1314 1315 1316 1317 1318 1319 1320 1321 1322 1323 1324 1325 1326 1327 1328 1329 1330 1331 1332 1333 1334 1335 1336 1337 1338 1339 1340 1341 1342 1343 1344 1345 1346 1347 1348 1349 1350 1351 1352 1353 1354 1355 1356 1357 1358 1359 1360 1361 1362 1363 1364 1365 1366 1367 1368 1369 1370 1371 1372 1373 1374 1375 1376 1377 1378 1379 1380 1381 1382 1383 1384 1385 1386 1387 1388 1389 1390 1391 1392 1393 1394 1395 1396 1397 1398 1399 1400 1401 1402 1403 1404 1405 1406 1407 1408 1409 1410 1411 1412 1413 1414 1415 1416 1417 1418 1419 1420 1421 1422 1423 1424 1425 1426 1427 1428 1429 1430 1431 1432 1433 1434 1435 1436 1437 1438 1439 1440 1441 1442 1443 1444 1445 1446 1447 1448 1449 1450 1451 1452 1453 1454 1455 1456 1457 1458 1459 1460 1461 1462 1463 1464 1465 1466 1467 1468 1469 1470 1471 1472 1473 1474 1475 1476 1477 1478 1479 1480 1481 1482 1483 1484 1485 1486 1487 1488 1489 1490 1491 1492 1493 1494 1495 1496 1497 1498 1499 1500 1501 1502 1503 1504 1505 1506 1507 1508 1509 1510 1511 1512 1513 1514 1515 1516 1517 1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 1562 1563 1564 1565 1566 1567 1568 1569 1570 1571 1572 1573 1574 1575 1576 1577 1578 1579 1580 1581 1582 1583 1584 1585 1586 1587 1588 1589 1590 1591 1592 1593 1594 1595 1596 1597 1598 1599 1600 1601 1602 1603 1604 1605 1606 1607 1608 1609 1610 1611 1612 1613 1614 1615 1616 1617 1618 1619 1620 1621 1622 1623 1624 1625 1626 1627 1628 1629 1630 1631 1632 1633 1634 1635 1636 1637 1638 1639 1640 1641 1642 1643 1644 1645 1646 1647 1648 1649 1650 1651 1652 1653 1654 1655 1656 1657 1658 1659 1660 1661 1662 1663 1664 1665 1666 1667 1668 1669 1670 1671 1672 1673 1674 1675 1676 1677 1678 1679 1680 1681 1682 1683 1684 1685 1686 1687 1688 1689 1690 1691 1692 1693 1694 1695 1696 1697 1698 1699 1700 1701 1702 1703 1704 1705 1706 1707 1708 1709 1710 1711 1712 1713 1714 1715 1716 1717 1718 1719 1720 1721 1722 1723 1724 1725 1726 1727 1728 1729 1730 1731 1732 1733 1734 1735 1736 1737 1738 1739 1740 1741 1742 1743 1744 1745 1746 1747 1748 1749 1750 1751 1752 1753 1754 1755 1756 1757 1758 1759 1760 1761 1762 1763 1764 1765 1766 1767 1768 1769 1770 1771 1772 1773 1774 1775 1776 1777 1778 1779 1780 1781 1782 1783 1784 1785 1786 1787 1788 1789 1790 1791 1792 1793 1794 1795 1796 1797 1798 1799 1800 1801 1802 1803 1804 1805 1806 1807 1808 1809 1810 1811 1812 1813 1814 1815 1816 1817 1818 1819 1820 1821 1822 1823 1824 1825 1826 1827 1828 1829 1830 1831 1832 1833 1834 1835 1836 1837 1838 1839 1840 1841 1842 1843 1844 1845 1846 1847 1848 1849 1850 1851 1852 1853 1854 1855 1856 1857 1858 1859 1860 1861 1862 1863 1864 1865 1866 1867 1868 1869 1870 1871 1872 1873 1874 1875 1876 1877 1878 1879 1880 1881 1882 1883 1884 1885 1886 1887 1888 1889 1890 1891 1892 1893 1894 1895 1896 1897 1898 1899 1900 1901 1902 1903 1904 1905 1906 1907 1908 1909 1910 1911 1912 1913 1914 1915 1916 1917 1918 1919 1920 1921 1922 1923 1924 1925 1926 1927 1928 1929 1930 1931 1932 1933 1934 1935 1936 1937 1938 1939 1940 1941 1942 1943 1944 1945 1946 1947 1948 1949 1950 1951 1952 1953 1954 1955 1956 1957 1958 1959 1960 1961 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030 2031 2032 2033 2034 2035 2036 2037 2038 2039 2040 2041 2042 2043 2044 2045 2046 2047 2048 2049 2050 2051 2052 2053 2054 2055 2056 2057 2058 2059 2060 2061 2062 2063 2064 2065 2066 2067 2068 2069 2070 2071 2072 2073 2074 2075 2076 2077 2078 2079 2080 2081 2082 2083 2084 2085 2086 2087 2088 2089 2090 2091 2092 2093 2094 2095 2096 2097 2098 2099 2100 2101 2102 2103 2104 2105 2106 2107 2108 2109 2110 2111 2112 2113 2114 2115 2116 2117 2118 2119 2120 2121 2122 2123 2124 2125 2126 2127 2128 2129 2130 2131 2132 2133 2134 2135 2136 2137 2138 2139 2140 2141 2142 2143 2144 2145 2146 2147 2148 2149 2150 2151 2152 2153 2154 2155 2156 2157 2158 2159 2160 2161 2162 2163 2164 2165 2166 2167 2168 2169 2170 2171 2172 2173 2174 2175 2176 2177 2178 2179 2180 2181 2182 2183 2184 2185 2186 2187 2188 2189 2190 2191 2192 2193 2194 2195 2196 2197 2198 2199 2200 2201 2202 2203 2204 2205 2206 2207 2208 2209 2210 2211 2212 2213 2214 2215 2216 2217 2218 2219 2220 2221 2222 2223 2224 2225 2226 2227 2228 2229 2230 2231 2232 2233 2234 2235 2236 2237 2238 2239 2240 2241 2242 2243 2244 2245 2246 2247 2248 2249 2250 2251 2252 2253 2254 2255 2256 2257 2258 2259 2260 2261 2262 2263 2264 2265 2266 2267 2268 2269 2270 2271 2272 2273 2274 2275 2276 2277 2278 2279 2280 2281 2282 2283 2284 2285 2286 2287 2288 2289 2290 2291 2292 2293 2294 2295 2296 2297 2298 2299 2300 2301 2302 2303 2304 2305 2306 2307 2308 2309 2310 2311 2312 2313 2314 2315 2316 2317 2318 2319 2320 2321 2322 2323 2324 2325 2326 2327 2328 2329 2330 2331 2332 2333 2334 2335 2336 2337 2338 2339 2340 2341 2342 2343 2344 2345 2346 2347 2348 2349 2350 2351 2352 2353 2354 2355 2356 2357 2358 2359 2360 2361 2362 2363 2364 2365 2366 2367 2368 2369 2370 2371 2372 2373 2374 2375 2376 2377 2378 2379 2380 2381 2382 2383 2384 2385 2386 2387 2388 2389 2390 2391 2392 2393 2394 2395 2396 2397 2398 2399 2400 2401 2402 2403 2404 2405 2406 2407 2408 2409 2410 2411 2412 2413 2414 2415 2416 2417 2418 2419 2420 2421 2422 2423 2424 2425 2426 2427 2428 2429 2430 2431 2432 2433 2434 2435 2436 2437 2438 2439 2440 2441 2442 2443 2444 2445 2446 2447 2448 2449 2450 2451 2452 2453 2454 2455 2456 2457 2458 2459 2460 2461 2462 2463 2464 2465 2466 2467 2468 2469 2470 2471 2472 2473 2474 2475 2476 2477 2478 2479 2480 2481 2482 2483 2484 2485 2486 2487 2488 2489 2490 2491 2492 2493 2494 2495 2496 2497 2498 2499 2500 2501 2502 2503 2504 2505 2506 2507 2508 2509 2510 2511 2512 2513 2514 2515 2516 2517 2518 2519 2520 2521 2522 2523 2524 2525 2526 2527 2528 2529 2530 2531 2532 2533 2534 2535 2536 2537 2538 2539 2540 2541 2542 2543 2544 2545 2546 2547 2548 2549 2550 2551 2552 2553 2554 2555 2556 2557 2558 2559 2560 2561 2562 2563 2564 2565 2566 2567 2568 2569 2570 2571 2572 2573 2574 2575 2576 2577 2578 2579 2580 2581 2582 2583 2584 2585 2586 2587 2588 2589 2590 2591 2592 2593 2594 2595 2596 2597 2598 2599 2600 2601 2602 2603 2604 2605 2606 2607 2608 2609 2610 2611 2612 2613 2614 2615 2616 2617 2618 2619 2620 2621 2622 2623 2624 2625 2626 2627 2628 2629 2630 2631 2632 2633 2634 2635 2636 2637 2638 2639 2640 2641 2642 2643 2644 2645 2646 2647 2648 2649 2650 2651 2652 2653 2654 2655 2656 2657 2658 2659 2660 2661 2662 2663 2664 2665 2666 2667 2668 2669 2670 2671 2672 2673 2674 2675 2676 2677 2678 2679 2680 2681 2682 2683 2684 2685 2686 2687 2688 2689 2690 2691 2692 2693 2694 2695 2696 2697 2698 2699 2700 2701 2702 2703 2704 2705 2706 2707 2708 2709 2710 2711 2712 2713 2714 2715 2716 2717 2718 2719 2720 2721 2722 2723 2724 2725 2726 2727 2728 2729 2730 2731 2732 2733 2734 2735 2736 2737 2738 2739 2740 2741 2742 2743 2744 2745 2746 2747 2748 2749 2750 2751 2752 2753 2754 2755 2756 2757 2758 2759 2760 2761 2762 2763 2764 2765 2766 2767 2768 2769 2770 2771 2772 2773 2774 2775 2776 2777 2778 2779 2780 2781 2782 2783 2784 2785 2786 2787 2788 2789 2790 2791 2792 2793 2794 2795 2796 2797 2798 2799 2800 2801 2802 2803 2804 2805 2806 2807 2808 2809 2810 2811 2812 2813 2814 2815 2816 2817 2818 2819 2820 2821 2822 2823 2824 2825 2826 2827 2828 2829 2830 2831 2832 2833 2834 2835 2836 2837 2838 2839 2840 2841 2842 2843 2844 2845 2846 2847 2848 2849 2850 2851 2852 2853 2854 2855 2856 2857 2858 2859 2860 2861 2862 2863 2864 2865 2866 2867 2868 2869 2870 2871 2872 2873 2874 2875 2876 2877 2878 2879 2880 2881 2882 2883 2884 2885 2886 2887 2888 2889 2890 2891 2892 2893 2894 2895 2896 2897 2898 2899 2900 2901 2902 2903 2904 2905 2906 2907 2908 2909 2910 2911 2912 2913 2914 2915 2916 2917 2918 2919 2920 2921 2922 2923 2924 2925 2926 2927 2928 2929 2930 2931 2932 2933 2934 2935 2936 2937 2938 2939 2940 2941 2942 2943 2944 2945 2946 2947 2948 2949 2950 2951 2952 2953 2954 2955 2956 2957 2958 2959 2960 2961 2962 2963 2964 2965 2966 2967 2968 2969 2970 2971 2972 2973 2974 2975 2976 2977 2978 2979 2980 2981 2982 2983 2984 2985 2986 2987 2988 2989 2990 2991 2992 2993 2994 2995 2996 2997 2998 2999 3000 3001 3002 3003 3004 3005 3006 3007 3008 3009 3010 3011 3012 3013 3014 3015 3016 3017 3018 3019 3020 3021 3022 3023 3024 3025 3026 3027 3028 3029 3030 3031 3032 3033 3034 3035 3036 3037 3038 3039 3040 3041 3042 3043 3044 3045 3046 3047 3048 3049 3050 3051 3052 3053 3054 3055 3056 3057 3058 3059 3060 3061 3062 3063 3064 3065 3066 3067 3068 3069 3070 3071 3072 3073 3074 3075 3076 3077 3078 3079 3080 3081 3082 3083 3084 3085 3086 3087 3088 3089 3090 3091 3092 3093 3094 3095 3096 3097 3098 3099 3100 3101 3102 3103 3104 3105 3106 3107 3108 3109 3110 3111 3112 3113 3114 3115 3116 3117 3118 3119 3120 3121 3122 3123 3124 3125 3126 3127 3128 3129 3130 3131 3132 3133 3134 3135 3136 3137 3138 3139 3140 3141 3142 3143 3144 3145 3146 3147 3148 3149 3150 3151 3152 3153 3154 3155 3156 3157 3158 3159 3160 3161 3162 3163 3164 3165 3166 3167 3168 3169 3170 3171 3172 3173 3174 3175 3176 3177 3178 3179 3180 3181 3182 3183 3184 3185 3186 3187 3188 3189 3190 3191 3192 3193 3194 3195 3196 3197 3198 3199 3200 3201 3202 3203 3204 3205 3206 3207 3208 3209 3210 3211 3212 3213 3214 3215 3216 3217 3218 3219 3220 3221 3222 3223 3224 3225 3226 3227 3228 3229 3230 3231 3232 3233 3234 3235 3236 3237 3238 3239 3240 3241 3242 3243 3244 3245 3246 3247 3248 3249 3250 3251 3252 3253 3254 3255 3256 3257 3258 3259 3260 3261 3262 3263 3264 3265 3266 3267 3268 3269 3270 3271 3272 3273 3274 3275 3276 3277 3278 3279 3280 3281 3282 3283 3284 3285 3286 3287 3288 3289 3290 3291 3292 3293 3294 3295 3296 3297 3298 3299 3300 3301 3302 3303 3304 3305 3306 3307 3308 3309 3310 3311 3312 3313 3314 3315 3316 3317 3318 3319 3320 3321 3322 3323 3324 3325 3326 3327 3328 3329 3330 3331 3332 3333 3334 3335 3336 3337 3338 3339 3340 3341 3342 3343 3344 3345 3346 3347 3348 3349 3350 3351 3352 3353 3354 3355 3356 3357 3358 3359 3360 3361 3362 3363 3364 3365 3366 3367 3368 3369 3370 3371 3372 3373 3374 3375 3376 3377 3378 3379 3380 3381 3382 3383 3384 3385 3386 3387 3388 3389 3390 3391 3392 3393 3394 3395 3396 3397 3398 3399 3400 3401 3402 3403 3404 3405 3406 3407 3408 3409 3410 3411 3412 3413 3414 3415 3416 3417 3418 3419 3420 3421 3422 3423 3424 3425 3426 3427 3428 3429 3430 3431 3432 3433 3434 3435 3436 3437 3438 3439 3440 3441 3442 3443 3444 3445 3446 3447 3448 3449 3450 3451 3452 3453 3454 3455 3456 3457 3458 3459 3460 3461 3462 3463 3464 3465 3466 3467 3468 3469 3470 3471 3472 3473 3474 3475 3476 3477 3478 3479 3480 3481 3482 3483 3484 3485 3486 3487 3488 3489 3490 3491 3492 3493 3494 3495 3496 3497 3498 3499 3500 3501 3502 3503 3504 3505 3506 3507 3508 3509 3510 3511 3512 3513 3514 3515 3516 3517 3518 3519 3520 3521 3522 3523 3524 3525 3526 3527 3528 3529 3530 3531 3532 3533 3534 3535 3536 3537 3538 3539 3540 3541 3542 3543 3544 3545 3546 3547 3548 3549 3550 3551 3552 3553 3554 3555 3556 3557 3558 3559 3560 3561 3562 3563 3564 3565 3566 3567 3568 3569 3570 3571 3572 3573 3574 3575 3576 3577 3578 3579 3580 3581 3582 3583 3584 3585 3586 3587 3588 3589 3590 3591 3592 3593 3594 3595 3596 3597 3598 3599 3600 3601 3602 3603 3604 3605 3606 3607 3608 3609 3610 3611 3612 3613 3614 3615 3616 3617 3618 3619 3620 3621 3622 3623 3624 3625 3626 3627 3628 3629 3630 3631 3632 3633 3634 3635 3636 3637 3638 3639 3640 3641 3642 3643 3644 3645 3646 3647 3648 3649 3650 3651 3652 3653 3654 3655 3656 3657 3658 3659 3660 3661 3662 3663 3664 3665 3666 3667 3668 3669 3670 3671 3672 3673 3674 3675 3676 3677 3678 3679 3680 3681 3682 3683 3684 3685 3686 3687 3688 3689 3690 3691 3692 3693 3694 3695 3696 3697 3698 3699 3700 3701 3702 3703 3704 3705 3706 3707 3708 3709 3710 3711 3712 3713 3714 3715 3716 3717 3718 3719 3720 3721 3722 3723 3724 3725 3726 3727 3728 3729 3730 3731 3732 3733 3734 3735 3736 3737 3738 3739 3740 3741 3742 3743 3744 3745 3746 3747 3748 3749 3750 3751 3752 3753 3754 3755 3756 3757 3758 3759 3760 3761 3762 3763 3764 3765 3766 3767 3768 3769 3770 3771 3772 3773 3774 3775 3776 3777 3778 3779 3780 3781 3782 3783 3784 3785 3786 3787 3788 3789 3790 3791 3792 3793 3794 3795 3796 3797 3798 3799 3800 3801 3802 3803 3804 3805 3806 3807 3808 3809 3810 3811 3812 3813 3814 3815 3816 3817 3818 3819 3820 3821 3822 3823 3824 3825 3826 3827 3828 3829 3830 3831 3832 3833 3834 3835 3836 3837 3838 3839 3840 3841 3842 3843 3844 3845 3846 3847 3848 3849 3850 3851 3852 3853 3854 3855 3856 3857 3858 3859 3860 3861 3862 3863 3864 3865 3866 3867 3868 3869 3870 3871 3872 3873 3874 3875 3876 3877 3878 3879 3880 3881 3882 3883 3884 3885 3886 3887 3888 3889 3890 3891 3892 3893 3894 3895 3896 3897 3898 3899 3900 3901 3902 3903 3904 3905 3906 3907 3908 3909 3910 3911 3912 3913 3914 3915 3916 3917 3918 3919 3920 3921 3922 3923 3924 3925 3926 3927 3928 3929 3930 3931 3932 3933 3934 3935 3936 3937 3938 3939 3940 3941 3942 3943 3944 3945 3946 3947 3948 3949 3950 3951 3952 3953 3954 3955 3956 3957 3958 3959 3960 3961 3962 3963 3964 3965 3966 3967 3968 3969 3970 3971 3972 3973 3974 3975 3976 3977 3978 3979 3980 3981 3982 3983 3984 3985 3986 3987 3988 3989 3990 3991 3992 3993 3994 3995 3996 3997 3998 3999 4000 4001 4002 4003 4004 4005 4006 4007 4008 4009 4010 4011 4012 4013 4014 4015 4016 4017 4018 4019 4020 4021 4022 4023 4024 4025 4026 4027 4028 4029 4030 4031 4032 4033 4034 4035 4036 4037 4038 4039 4040 4041 4042 4043 4044 4045 4046 4047 4048 4049 4050 4051 4052 4053 4054 4055 4056 4057 4058 4059 4060 4061 4062 4063 4064 4065 4066 4067 4068 4069 4070 4071 4072 4073 4074 4075 4076 4077 4078 4079 4080 4081 4082 4083 4084 4085 4086 4087 4088 4089 4090 4091 4092 4093 4094 4095 4096 4097 4098 4099 4100 4101 4102 4103 4104 4105 4106 4107 4108 4109 4110 4111 4112 4113 4114 4115 4116 4117 4118 4119 4120 4121 4122 4123 4124 4125 4126 4127 4128 4129 4130 4131 4132 4133 4134 4135 4136 4137 4138 4139 4140 4141 4142 4143 4144 4145 4146 4147 4148 4149 4150 4151 4152 4153 4154 4155 4156 4157 4158 4159 4160 4161 4162 4163 4164 4165 4166 4167 4168 4169 4170 4171 4172 4173 4174 4175 4176 4177 4178 4179 4180 4181 4182 4183 4184 4185 4186 4187 4188 4189 4190 4191 4192 4193 4194 4195 4196 4197 4198 4199 4200 4201 4202 4203 4204 4205 4206 4207 4208 4209 4210 4211 4212 4213 4214 4215 4216 4217 4218 4219 4220 4221 4222 4223 4224 4225 4226 4227 4228 4229 4230 4231 4232 4233 4234 4235 4236 4237 4238 4239 4240 4241 4242 4243 4244 4245 4246 4247 4248 4249 4250 4251 4252 4253 4254 4255 4256 4257 4258 4259 4260 4261 4262 4263 4264 4265 4266 4267 4268 4269 4270 4271 4272 4273 4274 4275 4276 4277 4278 4279 4280 4281 4282 4283 4284 4285 4286 4287 4288 4289 4290 4291 4292 4293 4294 4295 4296 4297 4298 4299 4300 4301 4302 4303 4304 4305 4306 4307 4308 4309 4310 4311 4312 4313 4314 4315 4316 4317 4318 4319 4320 4321 4322 4323 4324 4325 4326 4327 4328 4329 4330 4331 4332 4333 4334 4335 4336 4337 4338 4339 4340 4341 4342 4343 4344 4345 4346 4347 4348 4349 4350 4351 4352 4353 4354 4355 4356 4357 4358 4359 4360 4361 4362 4363 4364 4365 4366 4367 4368 4369 4370 4371 4372 4373 4374 4375 4376 4377 4378 4379 4380 4381 4382 4383 4384 4385 4386 4387 4388 4389 4390 4391 4392 4393 4394 4395 4396 4397 4398 4399 4400 4401 4402 4403 4404 4405 4406 4407 4408 4409 4410 4411 4412 4413 4414 4415 4416 4417 4418 4419 4420 4421 4422 4423 4424 4425 4426 4427 4428 4429 4430 4431 4432 4433 4434 4435 4436 4437 4438 4439 4440 4441 4442 4443 4444 4445 4446 4447 4448 4449 4450 4451 4452 4453 4454 4455 4456 4457 4458 4459 4460 4461 4462 4463 4464 4465 4466 4467 4468 4469 4470 4471 4472 4473 4474 4475 4476 4477 4478 4479 4480 4481 4482 4483 4484 4485 4486 4487 4488 4489 4490 4491 4492 4493 4494 4495 4496 4497 4498 4499 4500 4501 4502 4503 4504 4505 4506 4507 4508 4509 4510 4511 4512 4513 4514 4515 4516 4517 4518 4519 4520 4521 4522 4523 4524 4525 4526 4527 4528 4529 4530 4531 4532 4533 4534 4535 4536 4537 4538 4539 4540 4541 4542 4543 4544 4545 4546 4547 4548 4549 4550 4551 4552 4553 4554 4555 4556 4557 4558 4559 4560 4561 4562 4563 4564 4565 4566 4567 4568 4569 4570 4571 4572 4573 4574 4575 4576 4577 4578 4579 4580 4581 4582 4583 4584 4585 4586 4587 4588 4589 4590 4591 4592 4593 4594 4595 4596 4597 4598 4599 4600 4601 4602 4603 4604 4605 4606 4607 4608 4609 4610 4611 4612 4613 4614 4615 4616 4617 4618 4619 4620 4621 4622 4623 4624 4625 4626 4627 4628 4629 4630 4631 4632 4633 4634 4635 4636 4637 4638 4639 4640 4641 4642 4643 4644 4645 4646 4647 4648 4649 4650 4651 4652 4653 4654 4655 4656 4657 4658 4659 4660 4661 4662 4663 4664 4665 4666 4667 4668 4669 4670 4671 4672 4673 4674 4675 4676 4677 4678 4679 4680 4681 4682 4683 4684 4685 4686 4687 4688 4689 4690 4691 4692 4693 4694 4695 4696 4697 4698 4699 4700 4701 4702 4703 4704 4705 4706 4707 4708 4709 4710 4711 4712 4713 4714 4715 4716 4717 4718 4719 4720 4721 4722 4723 4724 4725 4726 4727 4728 4729 4730 4731 4732 4733 4734 4735 4736 4737 4738 4739 4740 4741 4742 4743 4744 4745 4746 4747 4748 4749 4750 4751 4752 4753 4754 4755 4756 4757 4758 4759 4760 4761 4762 4763 4764 4765 4766 4767 4768 4769 4770 4771 4772 4773 4774 4775 4776 4777 4778 4779 4780 4781 4782 4783 4784 4785 4786 4787 4788 4789 4790 4791 4792 4793 4794 4795 4796 4797 4798 4799 4800 4801 4802 4803 4804 4805 4806 4807 4808 4809 4810 4811 4812 4813 4814 4815 4816 4817 4818 4819 4820 4821 4822 4823 4824 4825 4826 4827 4828 4829 4830 4831 4832 4833 4834 4835 4836 4837 4838 4839 4840 4841 4842 4843 4844 4845 4846 4847 4848 4849 4850 4851 4852 4853 4854 4855 4856 4857 4858 4859 4860 4861 4862 4863 4864 4865 4866 4867 4868 4869 4870 4871 4872 4873 4874 4875 4876 4877 4878 4879 4880 4881 4882 4883 4884 4885 4886 4887 4888 4889 4890 4891 4892 4893 4894 4895 4896 4897 4898 4899 4900 4901 4902 4903 4904 4905 4906 4907 4908 4909 4910 4911 4912 4913 4914 4915 4916 4917 4918 4919 4920 4921 4922 4923 4924 4925 4926 4927 4928 4929 4930 4931 4932 4933 4934 4935 4936 4937 4938 4939 4940 4941 4942 4943 4944 4945 4946 4947 4948 4949 4950 4951 4952 4953 4954 4955 4956 4957 4958 4959 4960 4961 4962 4963 4964 4965 4966 4967 4968 4969 4970 4971 4972 4973 4974 4975 4976 4977 4978 4979 4980 4981 4982 4983 4984 4985 4986 4987 4988 4989 4990 4991 4992 4993 4994 4995 4996 4997 4998 4999 5000 5001 5002 5003 5004 5005 5006 5007 5008 5009 5010 5011 5012 5013 5014 5015 5016 5017 5018 5019 5020 5021 5022 5023 5024 5025 5026 5027 5028 5029 5030 5031 5032 5033 5034 5035 5036 5037 5038 5039 5040 5041 5042 5043 5044 5045 5046 5047 5048 5049 5050 5051 5052 5053 5054 5055 5056 5057 5058 5059 5060 5061 5062 5063 5064 5065 5066 5067 5068 5069 5070 5071 5072 5073 5074 5075 5076 5077 5078 5079 5080 5081 5082 5083 5084 5085 5086 5087 5088 5089 5090 5091 5092 5093 5094 5095 5096 5097 5098 5099 5100 5101 5102 5103 5104 5105 5106 5107 5108 5109 5110 5111 5112 5113 5114 5115 5116 5117 5118 5119 5120 5121 5122 5123 5124 5125 5126 5127 5128 5129 5130 5131 5132 5133 5134 5135 5136 5137 5138 5139 5140 5141 5142 5143 5144 5145 5146 5147 5148 5149 5150 5151 5152 5153 5154 5155 5156 5157 5158 5159 5160 5161 5162 5163 5164 5165 5166 5167 5168 5169 5170 5171 5172 5173 5174 5175 5176 5177 5178 5179 5180 5181 5182 5183 5184 5185 5186 5187 5188 5189 5190 5191 5192 5193 5194 5195 5196 5197 5198 5199 5200 5201 5202 5203 5204 5205 5206 5207 5208 5209 5210 5211 5212 5213 5214 5215 5216 5217 5218 5219 5220 5221 5222 5223 5224 5225 5226 5227 5228 5229 5230 5231 5232 5233 5234 5235 5236 5237 5238 5239 5240 5241 5242 5243 5244 5245 5246 5247 5248 5249 5250 5251 5252 5253 5254 5255 5256 5257 5258 5259 5260 5261 5262 5263 5264 5265 5266 5267 5268 5269 5270 5271 5272 5273 5274 5275 5276 5277 5278 5279 5280 5281 5282 5283 5284 5285 5286 5287 5288 5289 5290 5291 5292 5293 5294 5295 5296 5297 5298 5299 5300 5301 5302 5303 5304 5305 5306 5307 5308 5309 5310 5311 5312 5313 5314 5315 5316 5317 5318 5319 5320 5321 5322 5323 5324 5325 5326 5327 5328 5329 5330 5331 5332 5333 5334 5335 5336 5337 5338 5339 5340 5341 5342 5343 5344 5345 5346 5347 5348 5349 5350 5351 5352 5353 5354 5355 5356 5357 5358 5359 5360 5361 5362 5363 5364 5365 5366 5367 5368 5369 5370 5371 5372 5373 5374 5375 5376 5377 5378 5379 5380 5381 5382 5383 5384 5385 5386 5387 5388 5389 5390 5391 5392 5393 5394 5395 5396 5397 5398 5399 5400 5401 5402 5403 5404 5405 5406 5407 5408 5409 5410 5411 5412 5413 5414 5415 5416 5417 5418 5419 5420 5421 5422 5423 5424 5425 5426 5427 5428 5429 5430 5431 5432 5433 5434 5435 5436 5437 5438 5439 5440 5441 5442 5443 5444 5445 5446 5447 5448 5449 5450 5451 5452 5453 5454 5455 5456 5457 5458 5459 5460 5461 5462 5463 5464 5465 5466 5467 5468 5469 5470 5471 5472 5473 5474 5475 5476 5477 5478 5479 5480 5481 5482 5483 5484 5485 5486 5487 5488 5489 5490 5491 5492 5493 5494 5495 5496 5497 5498 5499 5500 5501 5502 5503 5504 5505 5506 5507 5508 5509 5510 5511 5512 5513 5514 5515 5516 5517 5518 5519 5520 5521 5522 5523 5524 5525 5526 5527 5528 5529 5530 5531 5532 5533 5534 5535 5536 5537 5538 5539 5540 5541 5542 5543 5544 5545 5546 5547 5548 5549 5550 5551 5552 5553 5554 5555 5556 5557 5558 5559 5560 5561 5562 5563 5564 5565 5566 5567 5568 5569 5570 5571 5572 5573 5574 5575 5576 5577 5578 5579 5580 5581 5582 5583 5584 5585 5586 5587 5588 5589 5590 5591 5592 5593 5594 5595 5596 5597 5598 5599 5600 5601 5602 5603 5604 5605 5606 5607 5608 5609 5610 5611 5612 5613 5614 5615 5616 5617 5618 5619 5620 5621 5622 5623 5624 5625 5626 5627 5628 5629 5630 5631 5632 5633 5634 5635 5636 5637 5638 5639 5640 5641 5642 5643 5644 5645 5646 5647 5648 5649 5650 5651 5652 5653 5654 5655 5656 5657 5658 5659 5660 5661 5662 | <?xml version="1.0" encoding="UTF-8" standalone="no"?> <!-- Created with Inkscape (http://www.inkscape.org/) --> <svg xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:cc="http://creativecommons.org/ns#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:svg="http://www.w3.org/2000/svg" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:sodipodi="http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd" xmlns:inkscape="http://www.inkscape.org/namespaces/inkscape" width="210mm" height="297mm" viewBox="0 0 744.09448819 1052.3622047" id="svg2" version="1.1" inkscape:version="0.91 r13725" sodipodi:docname="megatest-system-architecture.svg" inkscape:export-filename="Z:\src\megatest\docs\manual\megatest-system-architecture.png" inkscape:export-xdpi="90" inkscape:export-ydpi="90"> <defs id="defs4"> <marker inkscape:stockid="Arrow1Lstart" orient="auto" refY="0.0" refX="0.0" id="marker16686" style="overflow:visible" inkscape:isstock="true"> <path id="path16688" d="M 0.0,0.0 L 5.0,-5.0 L -12.5,0.0 L 5.0,5.0 L 0.0,0.0 z " style="fill-rule:evenodd;stroke:#000000;stroke-width:1pt;stroke-opacity:1;fill:#000000;fill-opacity:1" transform="scale(0.8) translate(12.5,0)" /> </marker> <marker inkscape:isstock="true" style="overflow:visible" id="marker16520" refX="0.0" refY="0.0" orient="auto" inkscape:stockid="Arrow1Lstart" inkscape:collect="always"> <path transform="scale(0.8) translate(12.5,0)" style="fill-rule:evenodd;stroke:#000000;stroke-width:1pt;stroke-opacity:1;fill:#000000;fill-opacity:1" d="M 0.0,0.0 L 5.0,-5.0 L -12.5,0.0 L 5.0,5.0 L 0.0,0.0 z " id="path16522" /> </marker> <marker inkscape:stockid="Arrow2Lstart" orient="auto" refY="0.0" refX="0.0" id="Arrow2Lstart" style="overflow:visible" inkscape:isstock="true"> <path id="path4946" style="fill-rule:evenodd;stroke-width:0.625;stroke-linejoin:round;stroke:#000000;stroke-opacity:1;fill:#000000;fill-opacity:1" d="M 8.7185878,4.0337352 L -2.2072895,0.016013256 L 8.7185884,-4.0017078 C 6.9730900,-1.6296469 6.9831476,1.6157441 8.7185878,4.0337352 z " transform="scale(1.1) translate(1,0)" /> </marker> <marker inkscape:stockid="Arrow1Lstart" orient="auto" refY="0.0" refX="0.0" id="Arrow1Lstart" style="overflow:visible" inkscape:isstock="true" inkscape:collect="always"> <path id="path4928" d="M 0.0,0.0 L 5.0,-5.0 L -12.5,0.0 L 5.0,5.0 L 0.0,0.0 z " style="fill-rule:evenodd;stroke:#000000;stroke-width:1pt;stroke-opacity:1;fill:#000000;fill-opacity:1" transform="scale(0.8) translate(12.5,0)" /> </marker> <marker inkscape:stockid="Arrow2Lend" orient="auto" refY="0.0" refX="0.0" id="marker5302" style="overflow:visible;" inkscape:isstock="true"> <path id="path5304" style="fill-rule:evenodd;stroke-width:0.625;stroke-linejoin:round;stroke:#000000;stroke-opacity:1;fill:#000000;fill-opacity:1" d="M 8.7185878,4.0337352 L -2.2072895,0.016013256 L 8.7185884,-4.0017078 C 6.9730900,-1.6296469 6.9831476,1.6157441 8.7185878,4.0337352 z " transform="scale(1.1) rotate(180) translate(1,0)" /> </marker> <marker inkscape:stockid="Arrow2Lend" orient="auto" refY="0.0" refX="0.0" id="marker5274" style="overflow:visible;" inkscape:isstock="true"> <path id="path5276" style="fill-rule:evenodd;stroke-width:0.625;stroke-linejoin:round;stroke:#000000;stroke-opacity:1;fill:#000000;fill-opacity:1" d="M 8.7185878,4.0337352 L -2.2072895,0.016013256 L 8.7185884,-4.0017078 C 6.9730900,-1.6296469 6.9831476,1.6157441 8.7185878,4.0337352 z " transform="scale(1.1) rotate(180) translate(1,0)" /> </marker> <marker inkscape:stockid="Arrow2Lend" orient="auto" refY="0.0" refX="0.0" id="Arrow2Lend" style="overflow:visible;" inkscape:isstock="true"> <path id="path4949" style="fill-rule:evenodd;stroke-width:0.625;stroke-linejoin:round;stroke:#000000;stroke-opacity:1;fill:#000000;fill-opacity:1" d="M 8.7185878,4.0337352 L -2.2072895,0.016013256 L 8.7185884,-4.0017078 C 6.9730900,-1.6296469 6.9831476,1.6157441 8.7185878,4.0337352 z " transform="scale(1.1) rotate(180) translate(1,0)" /> </marker> <inkscape:path-effect effect="vonkoch" id="path-effect4210" is_visible="true" ref_path="m 427.02546,366.74247 311.64896,0" generator="m 427.02546,561.12273 103.88298,0 m 103.88299,0 103.88299,0" similar_only="false" nbgenerations="1" drawall="true" maxComplexity="1000" /> <inkscape:path-effect effect="spiro" id="path-effect4208" is_visible="true" /> <inkscape:path-effect effect="knot" id="path-effect4206" is_visible="true" interruption_width="3" prop_to_stroke_width="true" add_stroke_width="true" add_other_stroke_width="true" switcher_size="15" crossing_points_vector="" /> <inkscape:path-effect effect="interpolate" id="path-effect4204" is_visible="true" trajectory="M 0,0 0,0" equidistant_spacing="true" steps="5" /> <inkscape:path-effect effect="gears" id="path-effect4202" is_visible="true" teeth="10" phi="5" /> <marker inkscape:stockid="Arrow2Lend" orient="auto" refY="0" refX="0" id="marker5302-0" style="overflow:visible" inkscape:isstock="true"> <path inkscape:connector-curvature="0" id="path5304-2" style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1" d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z" transform="matrix(-1.1,0,0,-1.1,-1.1,0)" /> </marker> <marker inkscape:stockid="Arrow2Lend" orient="auto" refY="0" refX="0" id="marker5302-0-9" style="overflow:visible" inkscape:isstock="true"> <path inkscape:connector-curvature="0" id="path5304-2-2" style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1" d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z" transform="matrix(-1.1,0,0,-1.1,-1.1,0)" /> </marker> <marker inkscape:stockid="Arrow2Lend" orient="auto" refY="0" refX="0" id="marker5302-0-9-7" style="overflow:visible" inkscape:isstock="true"> <path inkscape:connector-curvature="0" id="path5304-2-2-6" style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1" d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z" transform="matrix(-1.1,0,0,-1.1,-1.1,0)" /> </marker> <marker inkscape:stockid="Arrow2Lend" orient="auto" refY="0" refX="0" id="marker5302-0-9-7-7" style="overflow:visible" inkscape:isstock="true"> <path inkscape:connector-curvature="0" id="path5304-2-2-6-7" style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1" d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z" transform="matrix(-1.1,0,0,-1.1,-1.1,0)" /> </marker> <marker inkscape:stockid="Arrow2Lend" orient="auto" refY="0" refX="0" id="marker5302-0-9-7-7-1" style="overflow:visible" inkscape:isstock="true"> <path inkscape:connector-curvature="0" id="path5304-2-2-6-7-7" style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1" d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z" transform="matrix(-1.1,0,0,-1.1,-1.1,0)" /> </marker> <marker inkscape:stockid="Arrow2Lend" orient="auto" refY="0" refX="0" id="marker5274-8" style="overflow:visible" inkscape:isstock="true"> <path inkscape:connector-curvature="0" id="path5276-0" style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1" d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z" transform="matrix(-1.1,0,0,-1.1,-1.1,0)" /> </marker> <marker inkscape:stockid="Arrow2Lend" orient="auto" refY="0" refX="0" id="marker5274-8-6" style="overflow:visible" inkscape:isstock="true"> <path inkscape:connector-curvature="0" id="path5276-0-2" style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1" d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z" transform="matrix(-1.1,0,0,-1.1,-1.1,0)" /> </marker> <marker inkscape:stockid="Arrow2Lend" orient="auto" refY="0" refX="0" id="marker5274-8-6-7" style="overflow:visible" inkscape:isstock="true"> <path inkscape:connector-curvature="0" id="path5276-0-2-5" style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1" d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z" transform="matrix(-1.1,0,0,-1.1,-1.1,0)" /> </marker> <marker inkscape:stockid="Arrow2Lend" orient="auto" refY="0" refX="0" id="marker5274-8-6-7-5" style="overflow:visible" inkscape:isstock="true"> <path inkscape:connector-curvature="0" id="path5276-0-2-5-3" style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1" d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z" transform="matrix(-1.1,0,0,-1.1,-1.1,0)" /> </marker> <marker inkscape:stockid="Arrow2Lend" orient="auto" refY="0" refX="0" id="marker5302-0-9-7-7-6" style="overflow:visible" inkscape:isstock="true"> <path inkscape:connector-curvature="0" id="path5304-2-2-6-7-1" style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1" d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z" transform="matrix(-1.1,0,0,-1.1,-1.1,0)" /> </marker> <marker inkscape:stockid="Arrow2Lend" orient="auto" refY="0" refX="0" id="marker5302-0-9-7-7-6-8" style="overflow:visible" inkscape:isstock="true"> <path inkscape:connector-curvature="0" id="path5304-2-2-6-7-1-6" style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1" d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z" transform="matrix(-1.1,0,0,-1.1,-1.1,0)" /> </marker> </defs> <sodipodi:namedview id="base" pagecolor="#ffffff" bordercolor="#666666" borderopacity="1.0" inkscape:pageopacity="0.0" inkscape:pageshadow="2" inkscape:zoom="0.88269231" inkscape:cx="330.10992" inkscape:cy="527.65204" inkscape:document-units="px" inkscape:current-layer="layer1" showgrid="false" inkscape:window-width="1876" inkscape:window-height="1085" inkscape:window-x="3865" inkscape:window-y="33" inkscape:window-maximized="0" showguides="false"> <inkscape:grid type="xygrid" id="grid4462" /> </sodipodi:namedview> <metadata id="metadata7"> <rdf:RDF> <cc:Work rdf:about=""> <dc:format>image/svg+xml</dc:format> <dc:type rdf:resource="http://purl.org/dc/dcmitype/StillImage" /> <dc:title></dc:title> </cc:Work> </rdf:RDF> </metadata> <g inkscape:label="Layer 1" inkscape:groupmode="layer" id="layer1"> <image y="187.43408" x="132.13397" id="image18538" xlink:href="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlcAAAE8CAIAAABiggPXAAAAA3NCSVQICAjb4U/gAAAgAElEQVR4 nOydeVzU1f7/z5nPfAZmRmBgZnBDQEEvmLiAIlaiZSpmKrilYta1X2TW/X69XXO7fuubt9TK261b kdrN0lwKVNxwQc2VLy6IhgnGDorLLDCAM8h8lvP74+jHjzOfGQfB/TwfPXrgmXPO+6yf8/mc5XUg Quh6k72i2rD915P5f5QBAoFAIBAeX/r1jBj6dM/OQW29vRQAAGhnmIy9x3edrPRtG+ql9n3QySMQ CATCowdCiGE5hJAnnmUQ0nIKQPhAwtqu1VlNF57v2X788AFKby+4amPWiYomtT6E4XiO4z2JiEAg EAgEAQRAY+P1OtOlJstleEfPECq1IX4Bevwpdv/DqpRelExWe7ls6FOal0cOlBdWX1PrOl+3M54N pQQCgUAg3Ebj9aZaQzXfWNuxS6TSS+He8zVb45ULZTzi/bVtvRT0/Q8LtG29FDTv5X+s8NKo55vk Fk6lYHieJ2MggUAgEJoNAqDputVuqe7QLUbp4wvhHb7K1F6+6kam/lJRG78AmpY/kLAKWq5Uqqpr Zeu37JHzCHLcbUPgtQZrbY3FTVxeXgp9W90dTRIIBALhsQchhBCQAU6pUvM8AuAO31QIIW+luo5n AEKIvxWW4/hrtQaOtbsKqPBWK338JcPyPEI811BzRa7wVvkGiG1dqzUACNto9ACAW2ERAABAmbyh wSYHACDBDQAAQI259lpdXYBWI5kOjuMvVF7U6gOgjIyChCcCnmOtpguUQqXyb/ug00IgPIzgbyIE AOLvvLkEDzYQQAAgAkgIy/P8NdOF+OhwlbeXcyhTbV1e6WWvNhqXYQ2V/boG1DQ0VdaZlT7+AAAE UKPFENVRyfP8uUuXVf7thLA84hG4MWDLbwzkolFQTqGQjjpE0Vbbdaeswk4ddHU1ZoTQncZ7AuHR g2cZAKGMkt/4J8cinmfqqv+SGF10wbT7zCUfbXsAAACI5ziEeAhlMtmN7Woca4cyCgLA8xyEMggh z3MURfM8CxCAlBziCAGQURSEsgeXSwKhlRH2azZvbQ0ihJAoLK9QyPv2CKcoyjl+k6Uhr9R8a6hy CMvziG3s0S1E5e2VlfN7aY3Zu42GuVbTq5NqcOxTZReunCo5p9S0FYcVopIDABAC4q0xXXRo3IBA X3/f69cbcQgIIQQQQiiTyfz9/H9iiy7AWwkgEB4LEGNraAMsMiizyXyBog1vb/RiaxWQ0+i8eoR3 4njUtrCi7pqZUmp4ptGLrfOSsRygGqEPUrSx2+oDZHWczNvOAR9ZEwfpRhb6UU21jLeKYuQyvhGo 7RxoA21yGbJBNUf7ySj6QWeZQGglIAT4W9CDbZaibyiIkCgsjwACF6+YNu89DuW3fQ56U1xCfAwA gOeRZFgAIK3puOPI76MGRr34bK/th05X1lzpE6qJ7xtZUX0160Spj66TQ1hh4JMjBBy+BWUQtfGW +asV1+U8vJlDGZThUdBHRStpgFiEIPkYJDw+IJ6Xo+vDYsOf6tL+531nzl8xtGsDXnmpn9XWFNYp 0Eft/UzvrjHdQ+d/tbnGBkM1aOyg6LCgtua6azuOnsutqAVW49//O6nikrG2ztYvqsvx/NLiqisp 41/c8uupvk91DvBtk3nkN9t1e8Iz/f3aKPefKNyZd5nzDpDJHN95CYRHDmEkQAh5stES4fEHAgCA MDDhsAgAhABHqTXtu4r889bL5/HSHc/zrsLKFaqa62jb4fzR8VEvDux1uqD06T6RZReu7D5eynjr KYoWh8Wriji4HADAcbx4FMTZgDJIyW5M2uDpHQghnsZBAHBkUynhsYOnfHadKNdr2iQNitr86+n4 6HAvWv7z/+UHqEvfHDeo4pJx77FzDZzSG14f1q+7Qi7P+DU3vFPb4XERFVePX6ptksupp7oE/V56 MW3PiT+qTCFtfb1oeWyPsLzC8rCgwJfie9XW207+Xhreqe3gmD8dzCutY30pikyoEB4feB4xDOuJ zxtziQjwNw+p8zxiWBaPRDxCrOjwujDPyvOIZTnpsNgu5XX1OrvtUP7YIdHx/XqUX7iy4//ON9Fa CkGeYcV2xaOeHADAo9tOSvAIAQBlUAZvjoKyW6MghAAChDgeIUCO2BMeL2Tyela99Wjhay/GvJE0 kOf5dbtzK2pR1aXLDMdVXTEfKTSp/Dtogal7l44Qgqd7d/VVK33USn0b+gLLAAAuGmo2Hyq4UAdY jg4BACF0OO+PrNzK+B7Xev0peMuB03vzKgf1uNY9rCMFeZ7jACTfgoTHAQggAIBHPMN6OAoCACD+ oBLCsjclYPCIKPYtdpcMe8M/QoBt7NTJt43K29bYpPX3DdK1KbjcQKv8nO0KY578pgkktggAgFAm g7KboQDE/xdN/pJvQcLjB5R7V5nrSi8YX4gLLCirLrxQA2gdaLzxq4z2BgBCgJTetNXWxLKc2XLN ZLnWyHC4a5RdNJSbmrx82/LXrwEAeB79XnKJoVTX7QzPo99LLzEydaOdkeF+hEg3Ijwu4DECAYQQ 22RDPOfKo4yiKYU3XhmE+KPrZlgeCV9WDkPSbe6SYW8Mk421/bv6D+7XvaL66rH8soRner4U35s7 cKrY1CDzUuNtpUJYh1FQYr+nSqVWKBQQCCuDEEAoA/DmauTN6VUC4bEBIWS3PhXk2yO8Y3HllfY6 v/4R7Q8V1uClc4Wcgpyd5zkWwtp6W0HpxTXbjtquN+kD/JooPxntBQDgEeJ4gOCtNXOW58HN7aAc zwMIhc5253NVBMIjAh4MEEA8z9mM5U91aeulkNj81XDNVmpoVOk7488qAG8NJOINKmyTzVZ7RRQO yVkG3FzMkwzL8zxrNffv6j+kf4+yC1e2Z/9Rz3plHDiT9Fyvlwb12XrgVLGpgfL2EYcF4hlRhJD4 kAdC4PeCgstXr0rmlrHbG69fR2RGlPDYgdim9ipmzKDoakNtxqHf43t3ThjQ3WA5WVjK19RZnwrv NGaAdd9vl+t5+clz5fHR3dRK78Ymu7+veuvh389bbhz1RQCv8t8a69z87cnhKgLhIefGWtmNXSq8 0lsx+vn+vm1Uzj4rqq+Wbj2GeP7WeyJC4rAAIH+/NqPiezpMk3gpQr29aHwe0UVYDtrrnu4dV159 devRwmvIR6agq62Nm389M25InwE9w37fekypUAthcdfD/7p5al5krw76H6xuAtWuPmkpHoby5EOQ 8JiBeIptGNSrC8uirdl/VDXId54ob6Pyfj4m/Iqpfvvh/NGDevbrHnLi/CVDk2p3bhXDcv2eCqUo qqDskrGBpWjv2nrrdTuHVx0AgNcZrqbeCik5gNJ/I4Z8CxIeBxBCMggAxB9lqNHO/bD5V0ltMTvD cjzgeR7CGyfteKew6btz7iYsAshbt3rrYRsDr8v9IUUhnpfJvS5Z0ZodOQgheRu9OKy468E/L9vd BJVkyyeBwDPXqetmmQxyXgGA8uJZu+x6jQywnFcAz7Fypg4CwCt1gFYhjgHXLTLOBgFAchXy8uU4 XtFkBLSKVfhDGQUA4Kxmmm3glXqgUHHWGqm/1Q86xwRC66CgUE1Znr5bXIO1EXGsG1EVCCCk5DLE XbuYr+sWZ2e41goLAOA5BvsRh8Jx4uO54rAAgOt1hqc72OUAYB0ZMgoSnnRkci9e3Z4HeBkcyOQK 1KYthwCAkKIB7+UD8E8IQZkcqbQ80uKAEEJKBlh50I2gCAEAZKoADvkDCCFy9TfpdITHBij39rEY q4GXr0x2hwNAHGO31V328tHeXKBrvbCyG2t8t4WRURDPmrKMOKxodwzCX6KkQxIIN3HoRs5bqF17 d/zd1W9keyjhMYLlZT7tu9ZdKr5uunBHLQieY9v4t20TGMowLI/QgworuEuclCAQCAQCwXMYlkVy yj+oG2+3eeAdUt5trttZfK/7gworIGevNzCI5cleNQKBQCDcLSwA9hubVTygqVa8GeVBhQWsTaWA 8uh2TUih5HiW45o8ioVAIBAIhIcPg9FcUX4hNrb3HX1SlJcMypm6+nCtt3zisH6B7TowTP11u/k+ pJJAIBAIhHtBbm5+Wml2ytjkO/r0VmjlMmVZAbhQfdXlJWdGYw1ZLCQQCIQWQp6lDznSo2BJSeWP P26sq2u4z6m5CwoKigsKih/d844Iofz8wvLyC3cdg9lsMRjMCKGSkgpcDoWFJXY7c9cR2myNp079 npubL/xnMJgFW7m5+TZbo+AZp1/sx006hQiblV+brbGi4qIbD0Leq6qqxWlrrfg9oaCg2MN8OddX a+GcBuf6une0Yr7urh4fCOL8SvZlhmF++WX7qVNnH91n1GOP9Cj4/fc/x8fHajS+9zk1GIPBfOLE GU98six78OCxAwdyHt1Xrbq6hi1bsk6fPnfXMWRm/pqVddhoNC9e/A3LsnY788knyy2W+ruOsKCg eM6cxWlpmcJ/FRU3OnZxcXlGxh7xgIfT//HHX2dlHb5jOj/++Oubce4oKir3PD3ffbfBjQch799+ u7awsNTDaAVMppr09J2ep8eZo0dPbtq028N8OdTXXRv1JA3O9XXv8DBfCKGsrCNWq62oqFyyrIqK yn/5JfP+pLmFIITS0zP37DmMnz+SfZmm6bFjE1JTf2rFuia0LnJnp5ycvHbt9J07dxI7Ct8WEAKa pgEALMvK5beCMwxD0zTHcTKZTLhiiqblWOeN4zhhcypFURQlAzcui7rhUyaDODa7nSkrq0pP39m7 91OCLQz2L8SJ+X//b5JMBnGEGMGWTAbxzcAQQpZlIYSCu5ByV/kS0qa4qQnLsqzwNueQhpagUinn zZtJUbdOurgqQ1fIZJDnEQBQSB7LspJCzeIPROd8URSFEI9LJiYm6tNP5zsE53kUHd0jOrqHQqST q9H4vv/+f69evclh87GzLYRQYuLwV18dBwAoLCzZsmXPpEmjgoM7um8bOOu4NHAbwz7Ffwt5l8lk Ivl5TwkO7jhmzNCtW/cmJQ0PDw9pbvCcnLxTp86++eaUwEBtUVH5pk27kpPHBAd3dOXfub6AVDsE UmXopm1s27Zv4sSRffv2XLs249ix0926dZasL3G0CgWNW7u4Lwt/Y1sQQuzffV92lS9nGhuvr1mz qXv3rtnZJ3kedevWWfwrz6Njx/LattWFhga5siWkmeeR0JeF5w/H8Z6UoXO+JJF8Ronzsnv3oaVL 5+KEOfdljJ+fT//+vbdv3zdu3Ag3JUN4UEiMgkVF5RqNX2CgVnApKan4+us1JlMNAECj8Z01a3p4 eGhaWmZQUPuBA/tBCE2mmp9/3v7yy6Nyc/OvXjVevHjl/PlSAMDo0S9MmDCSYdj9+7PXrduCY+vb N2rmzGk0Lc/LO5ua+hNuiyEhHWfPTvHxUX/22Ypjx05funR1+vT3NBrfDz6YpdcH4IDnz5fMmbNk xozkl14agl3Wr9+WlXVYrw/45JP5uInb7YxgKySkY2xsb6XSu1+/nl9+uapPnx7p6ZmCLX9/P9f5 aqdUKr/99ieeR9OnTxw4sJ/N1rhhw7aDB49huzhfLR8IWZb97LMV+fmFcXHRf/3r69gxK+uIcxm6 sTVsWDxFUT4+6rlzZygUtKu5UJOpZvnydThOuVzunK++faM0Gr/+/XsDAGy2RoPBBACgadrf/8bV XGVllYsXf1NTU7d48Xvdu3eVtOLGFgDAYqnD0ZaXX9Bo/HS6AHF9Aam2odH4PvNMX1xWixd/M3Pm K3q9Vvw3AECj8cV5f+ONyeJ26zndunVOShqekbE7KWl4eHgoAMBoNIsnGMTl4IC4v3Tr1rm2ts5g MLsZBR3qC7joX5Jl6EnbwPEDF/Ul2JLL5WPHJly4cCklZfJ33/08eHAc9rNy5Qb8d3Z27pUrxt69 n0pN/clkqnHTl3EunPMlSXp6Zk5O3ty5Syorq9u0UT39dExkZDj+CSGUl3f2yhXj669PArf3ZcGW zdb444/p48eP3L374MGDx4TnxsqVG557bkBFxcX167e6L0PJfEn2L5weh2eU0AysVltaWmZS0nDc CCX7MkatVsXERKWlZZJR8OFEYhR0gGGYL75Y9dZbU/FoZDTWfP31mk8/nT9ixOAffkhXqbxDQ4NW rUp7/vmndTp/g8G8evWmTz9dkJIyGQDwz3/+JyIijGHYEyfOfP75Qhzhpk27t23bGx/ff+3ajEWL /qZQyAEA58+X7tp1cMqUMTNnvhId3WPPnsMLFswEAOp0/uLE8DwvftUaNy4hOvqppUu/FVzOnj0v 2MrLO3f8+OnZs1OsVtv27fs7dmwnuC9fvnb27BRX+Xr99TlRUX/66KPZPI/+8Y8vIyLC9u/Ppmm5 kAWcr549I1tU9gDI5fKZM185duz0gQM5gqNkGbqxJTz3haeJJKmpPw0aFIfjtNtZ53xt2rQbQhAW FpKfX3j0aO67736E45w7dwZ+BQ4LC1m6dO6iRf++45qNpC0AQHr6zpMn8wEAPXtGTJgwUqVSnjp1 1n3bMJlqP/tshb+/hudRcXGFcNmm8DcAQKGgcd7xB8TdER4eMmbMMNwGIASpqT8VF1cIv4rLoYU4 1JdD/zKZavfsORwaGiRZhpJtIzw8tLCw1Gg0FxQUq1TKiIhwmQwCqfoS27Lb2UWLvpw1azpN0xUV FwU/wt9xcdFz5y7dty979uwUjcbHTV8eP/5F53y5YvTooZmZB+bPn7l/fzZN02Fhtz6+jcaatWsz Fix4R6vVgNv7smBr3LgRERHhr7wy67333vz884W4L8+f//bQoQP/8pcPxo8f8fnnC4W+LFmGkvmS 7F84Pc7PKPzrtm37ZDI4fPggPIJK9mXCI8GdezVCwGAwHzp0XK1WAQAslrqqqmoAgL+/37RpY1et SqNpeuDA2OjoKNwapk0bGxMThfshQgi/Rp05U7Br1yEc4W+/FQ4YEA0AMplqAwO1+LUxMFCHZx78 /f30+gCFgg4M1DmkpHv3rlu2fCee/FSrVQ7v/gghq7URh9Xp/K3WRrVaZbXaIiPDk5MTVSoldq+t rUcIWCz1en2AYAi/jKvVKpVK+cYbUzp0aMuy7DPP9FOrlXY7k5NzWjiYWVRU1pLtJ2Jwfh0cJcuw hVy7ZlOrlTizdjtjtTYCgGOG2BEXDq6OoUOf/fjj93BA4dEPIQwM1GFv7mlosB448H94ywnLshcu XMYztK+/PjE5OQkAcOLEme3b9yUnJ4nrC6cBJ0xoG4GBupSUKRkZe1peAu5BCJ05cy40tCOeefv7 399xmNlrlSFQyu5t7TAwUNe1a6hcLpesLyDVNkymmo0bM4uLKyCEDQ3WP/0pDDdU5/oS27LbGZut 0eEtU4xCQdO0fPr0iXjSsn//3j4+bczmWqm+3AzOnv2jpsZy+PCJwsJSnGA85iGEDh7MCQ0N0mr9 b6YWOduCEOp0/n379hw+PJ6iqO7dw61WGwBAo/HR6wNwH1coFN27d6UoSrIMJfPlqnIkn1EAAIPB bDCYYmN7i796Jfsy4eFHomNTlMzhscuyLMPccNFo/KZPn0jTcgAARVEqlbKpyc5xHO6WAAA8We/G 5IAB0c49h+cRhBJbdcQrFsLaj5vIQ0OD2rcPnDNnCQDAx6fN6NEv3Mpqc55i+O1PLpdPmzbW+ddx 40a4mfJqOTIZ5b4MW4vY2F5btmTh4vL39xNmbCCEbia17gjPI+GTHc9EaTR+AACZjMLRDhgQvXPn gfLyKk9ic56tavWNBhzHbdmSZbczM2dOoygZx/ErVqyvrKwWPISGBqWkTJZsQuL+wnGcXH4HMcM7 cqdlYMe2ERzcccmSuXPmLMHrgm7CUpRswoSR33671mptBAAkJAzC9eIGITtjxyYAAMzmWvGvkn3Z PTIZvH69CT9PZDLIcTducEtPzxTKXzKg2BaEEDew4OCO4p6IK0ij8cXff57nS8BuZ5zX/zDCM8pq ta1fv6Vv356e553jeFf5IjxwJCp72LD4FSvWFxQUC2sJwcEdX3jh2ZuvOVCvD8BrgWvWbO7bt2dE RFha2g6eR3jtJz09s2vXUDwDplYrIYQ0Le/WrcuIEYNwbGq1Sq1WGQxmtVppMJjxeFNZeencuT9e e20CAEChoCGEBoPJYmnYu/dISspkvNbtvC5osdQbDGa7nTEYzPiVzWKpt1jqBw+OAwCoVN59+jzl JvM6XYDRWIP/NhprNBrfm/cBOKJWK3v1ihSyoNH4tWSQEGM0mmtr661Wm8Fg0uu1rbXpRrzFDq9p +fv7mky1eFnObmd1On8AoNFohhDi4tLrte5nFO12xmKpt9sZo7GmtrYOL5AghIzGGqvVxjCMwWDG bUOn0/Tp0yM6+kbhC/kS1gVzc8+Ghnbq3r1rSUkFruubRpBCoQAACm3DYmlYsWId3q4s1NfWrXsL C0tapaDAzfUns9kydWoirlYI4XPPDRBP/KpUSldvUcOGxael7Th8+HhERJiQr2YlQNwOhTYvWV/N zZdDfSGEysqqunQJ1mr9IYSRkeH4dVZsS61Wmky16Ob9pQ4oFLRzX25WqmJje/fr13Py5DGHDx9n GBbP5VittsLCkpdeGiLuVi231dwyZFkWvxF++ineZwAln1GVldUlJZVvvz3NIbirvlxbW7dt2z68 2El4CJHo2IGB2oAAv8LCkvDwUIWCVijod96Z9sUXq/Dme70+4IMPZmk0vjt27I+Pj42JiYIQJicn rl69sWfPCABAQsLgPXsOr1y5AQCQnJwYFRVB0/KYmFK8zgQAGDYsftq0sXp9QHJy0sKFy/B7fURE 2IwZNw78R0VFYP86XcA770y7fZvobeuCaWmZhw8fr69vmDdvaUrK5Pj4/u3bB6rVyvXrt2IPZ84U TJmSCCHs2jVUeINWqZShoUEO+dLpAvAaid3OREaGi40CAEaPHpqaukbIArbV4sIHDMOkpv5UVFRe V9cwb94nCxa8HR4eqtVqxHkMCenoySSkGL0+QLxWite0ZsyYumzZyrVrMwAACgU9c+Yren0Ax3Xe vfuQUFwJCYPGjk3A5eMcbWlp5SefLK+rq//xx/S8vN/xOpnJVLto0ZcGg5ll2YqKi7htONgS8rV1 axZeFxw8OC45eYxKpRTqGpsYPDhu/PgXVSql0DZ0uoDExOHV1VfE9TVhwsi72MzpitLSyqtXTTg9 2EUmg56PZIGB2uTkxGXLVuJ9JeJ4PMG5HeI2L1lfbtqGczuRrK+wsJAdO/bjAV6n8586NSk6Okps a8KEkefPl8TF9dFofJ3jdKgv3Jc9zyzOywcfzPLz8xk9eqgww5SdfSo2tndUVIQntiTbp0Mfx0iW oWRZYYQ5cByP5DOKYZgDB3Lws0IcVrIv45/Onj0PAAoNvYezR4SWAKsrzzsrqDU12Tdu3JmYOEx4 +WIYRvhIurnhmIcQCs0OT12uXr0JAJCcPObm5nsZ7rQIIWF7t+RBBSDauy/277zJW4gTp0GYUcHu ubn5mzfv/t///St2XLs2Q6Ggp05Nun1j/a2JVud8AadDIK5suSlWzxEfwJDL5TIZRAiJB3uHcm5u nBicNWdba9ZsBgBNmjQaOy5cuOzll0fFxPSQLAHgor5claFzviTbwB3bBt7QT1HU3r1HY2N7qVRK juPeeGPe558vdF48vjtc5bdZMYg37jcXz8vQVduQbCcO9WW3Mykp8z/6aDb+AjMYzO+//8/lyxfj Ehb6LELo5mEJiThd1VdLcMjXHW1J1pdDHxd8OpQhcNunsH/xY8e5zbtqLZK2WJZNS8scMWKwqz3G hFYkNzc/LS3T+ZSXMzcV1I5eqL4q3YK9vBTJyYliF+fm5TDNjZsFRcl4Hjk3EVfrTK7mFT30T1Ey h2R07hzcrp1+4cJl+J/CWpdD+oUUOucLuFhBdLbVKkiWlfhxcBdGXT2YnN3j4vpkZOwWiisoqF2n Tu3dxCBZKR6Woas69aSu5XI5x3Ecx3355SrP17Q8p+WP8hbG4HkZumobku3Eub+8/PJL33//My5D CGFCwiA8KeqqzTs7tnDNWBKHfN3RlmRqm9WXXaXE2b9zAjzvX9hR2FZKeDhx2XWNxhqdzr+5y1TC WaUHhVarmTRpNN7FCgAIDNTe020sjzrdunWeOPElYctD587BeMPeQwhFUUOGPBMYqEUIQSiLjAxr 9WfxY4+4DAEACgUdFRXRWkvRBFfc3bOUcN+QHgVLSiozMva88cak5oqo3d2Z5ZZQUFAMABDOSOE0 3P9k3DUIobNnz/v4tHEQ6/Ecs9nCcZxeH1BaWtmlS4hMBgsLS8LCQjwcJDp37uRg2mZrLCwsFYuw BAd3xEVqNlvKy6u6d+8qLKvg9NvtjODHTTqFTaFarb/n+bXZGg0GM17KjYmJcvaAEMJ5v3jxkk4X 0NxlVCH+ZoVyoKCg2GZr9CRfzvXVErvu0+BcX67KsOW0Yr6qqqrvoh5bHaFducmL2I9kX8Y6onFx faKjo+7Pxm9CcyE6og8YoiPqSXqIjujdpYHoiLYET/JCdEQfA4iOKNERJTqiREeU6IhKY7czHMfZ 7TcySHREH0uIjijRESU6okRHlOiISvcvhmGyso44PDfwT0RH9LGB6IgSHVGiIwoA0RElOqJSlJRU Ggwm8XNj/vy38U9ER/SxgeiIEh1RoiMKANERdYLoiAIAnJ8b2J3oiD5OEB1RaYiOKNERJTqigOiI Sj03iI7oYwbRESU6okRHlOiIEh1RACR0RKUhOqKPGURHlOiIEh1RoiNKdEQBcNIRlXxuEB3Rxw+i I0p0RImOKNERJTqit/kXt23n5wbREX1oITqiABAdURdxunInOqKuUnufYyA6og+njqjkc4PoiD5m tPK2N6Ij+mhBdESfKIiOKIHgTCuPgg+DgOejpSP6wHHWEX1ouXcamE8OpAwJBAfI5l0CgUAgPLmQ UZBAIBAITy5kFCQQCATCkwsZBQkEAoHw5EJGQQKBQCA8uZBRkEAgEAHYgKMAACAASURBVAhPLmQU JBAIBMKTCxkFCQQCgfDkQkZBAoFAIDy5kFGQQCAQCE8uLkdBo7EGSV61RyAQCI845PlGEJDWES0p qczI2PPGG5Pw7aaEewdC6OzZ8z4+be5azNNstnAcp9cHlJZWdukSIpPBwsKSsLCQuxabttkaCwtL EeIFl+Dgjlia1Wy2lJdXde/eVbieDaffbmcEP27SKVwur9X6e55fm63RYDC7uQEYIYTzfvHiJZ0u oLnXMTYLz/MLAKiqqtbpAgAAOP1CWMEDLoeCgmLhRl8IYVRUhEJBV1VVi69KFspc7I7T4FBf4rJ1 bhutUwpuuWN93WuE9oDvonLuXwzD/PLL9ri4PtHRUfenTAgPM9Tf/vqOuo0Pzzex3K2btT/7bMXw 4YNa8SLTZmEwmM+dK+rYsd0DsX6fqatrWL16E8/zkZHhdxfDxo07y8qq2rfXf/DBv1588TmO4+fN +2TgwNjmXswt8NtvhXPnLqmtrTt3rhj/16FDIK6O/PzCrVv3RkSECa9HOP1paZleXoqePSPdp3Pl yvVXrhjPnSsuL68KDNRptf4epmfdui1DhjzjyoPRaMZ5/+yzFYGBug4dApuT3WaAEEpPz9yz58i5 c0VVVdXh4Z1VKm83/pcu/TYwUGc0mnH6jUZzSsoCo7G2sLAEF6xcToWFhcyY8feysqqiovJz54or Ki7Y7UyXLp0WL/7m6NGTZWUXzp0r/uOPsqqqyxERYRUVF3/5ZcepU2dxcJyG4uJycX2Jy9ahbbTK fS9FReVms8XHp012dm5QUHuZ7Lb5JLud2bhxp8lUe9ftuYXgOsrPP9+3b0+ZDEr2L4qigoLaf/LJ 8tYqE8JDwqVLV8+dKx46dOAdfcoplQzStcaq+garxLdgTk5eu3Z6h1d14QUWwht3bjlcNYmvo+Q4 TiaTCRdj0rQc39vCcRzH3XhXpSgK3+/F8whfNA9EV2ja7UxZWVV6+s7evZ8SbGGwfyFOcPu1ltid 5xFCiKJkOMGCLeF6TIerUF3lS0jbvb6+R6VSzps3U9wVXZWhK2QyyPMIACgUBcuyAEjM9kjekSu6 XpVCiMclExMT5XxTJc+j6Oge0dE9xGWi0fi+//5/r169SahfV7YQQomJw199dRwAoLCwZMuWPZMm jQoO7ui+beCs49IQX3l6+/WnN/Iuk8nEn7CtTnp6pt3O/OMff1Mo6JycvOXL17799jQ38yU4PRDK eP5Gqtq10y9ZMkdcgHY706aN6v33/wvfGGwwmN5996MhQ56BEM6Ykdy3b0/sZ/r09xITh+bk5HXo 0Hb+/Jk47Jw5S/Dntbi+Vq/elJOT161bZyDVNloIz6Ps7JM8j1Qq5YoV62NjezuMIgaDed++7JUr lwi5w3+471+4zUMIsX/3zw1XfRnT2Hh99+5DS5fOxZ6d+xfGz8+nf//e27fvw/ePEp5kJEbBoqJy jcZPPNtTUlLx9ddrTKYaAIBG4ztr1vTw8NC0tMygoPYDB/aDEJpMNT//vP3ll0fl5uZfvWq8ePHK +fOlAIDRo1+YMGEkw7D792evW7cFx9a3b9TMmdNoWp6XdzY19Sfc7kNCOs6eneLjo/7ssxXHjp2+ dOnq9OnvaTS+H3wwS68PwAHPny+ZM2fJjBnJL700BABgtdo2bNh28OAx/Cu2VVZWuWfP4aSk4atW pZ0/X4pt2WyNP/6YPn78yN27Dx48eAzb8vf3c52vdkql8ttvf+J5NH36RJzHe1H6LMt+9tmK/PzC uLjov/71deyYlXXEuQzdJADf6ejjo547dwa+T1zSm8lUs3z5OhynXC7H+bLZGoUy7Ns3SqPx69+/ N7gxqWUCANA0LdyRXVZWuXjxNzU1dYsXv9e9e1c3+ZK0BQCwWOpwtOXlFzQaP50uwG5n3LcNjcb3 mWf64rJavPibmTNf0eu14r8BABqNL877G29Mbu6lWggho7FG/NKgVqtcfUbn5p6dOHEkfnDHxER9 880au93uJnIhPW+9NRW7MAxjMJgVCjkAUK8PEKpVmOQ0Gms0Gl/sbDTW4OKy21mdzh8Al21AqC+c J4VCgf9yaBvui8ITysoq16zZTFHUnj2HT506u2bN5pSUycKvJlNNWtqO6dMnYlue96/s7NwrV4y9 ez+VmvqTyVTj5rnhqi9jP1arLS0tMylpOG4Ykv0Lo1arYmKi0tIyyShIuPP9ggzDfPHFqrfemopH I6Ox5uuv13z66fwRIwb/8EO6SuUdGhq0alXa888/rdP5Gwzm1as3ffrpAtw3/vnP/0REhDEMe+LE mc8/X4gj3LRp97Zte+Pj+69dm7Fo0d8UCjkA4Pz50l27Dk6ZMmbmzFeio3vs2XN4wYKZAECd7rZJ M57nhde6bdv20bRciBbbioqKkMlkKSnzP/hgVkrKZGxr3LgRERHhr7wy67333vz884V5eeeWL187 e3aKq3y9/vqcqKg/ffTRbJ5H//jHlxERYffowkK5XD5z5ivHjp0+cCBHcJQsQzeTjULa3M9Bpab+ NGhQHI7TbmdxvvbvzxbKcNOm3RCCsLCQ/PzCo0dz3333Ixzn3Lkz8Ot2WFjI0qVzFy36t7CI1Sxb AID09J0nT+YDAHr2jJgwYaRKpTx16qz7tmEy1X722Qp/fw3Po+LiCryjQfw3AEChoHHe72ItymSq XbToS4ulXnAZNix+2rSxzY1HEiE9wlXPJSWVc+cugRDq9QEffDALf0eaTDWLFv372jUrx3GRkV1n zZpO0zTDMKmpP9E0bTSaunbtPHPmK8LroDO4vgoLS8LDQ4YOHTh+/IvY3cO24TlhYSGJicNomo6P j12yJDUxcZj419TUnwYPjsNvPG6eG879Ky4ueu7cpfv2Zc+enaLR+Lh5bkj25fnz38Z+tm3bJ5PB 4cMH4dcLyf5FIDhw51EQIWAwmA8dOo5fkC2WOnyTu7+/37RpY1etSqNpeuDA2OjoKNzypk0bGxNz Y80ZIYQ/Tc6cKdi16xCO8LffCgcMiAYAmUy1gYFa/NoYGKjDMyT+/n56fYBCQeMJIjHdu3fdsuU7 PNEBALDbmZyc08ILclFRmd3OQAhVKuW4cQk4Db17dwcAQAh1Ov++fXsOHx5PUVT37uFWqw0hYLHU 6/UBgiH80qpWq1Qq5RtvTOnQoS3Lss8800+tvoe7LXB+HRwly7CFXLtmU6uVOLN2O2O1NgKAY4bY EW++wNUxdOizH3/8Hg4ozDhBCAMDdZ7sPWlosB448H8VFRcBACzLXrhwGX9svf76xOTkJADAiRNn tm/fl5ychBCyWhuFKlCplDhhQtsIDNSlpEzJyNjT8hKQRK8P+Ne//ke8W/CebpeIjAxfsWIxnhsU Ps50uoClS+eVlVWdOHFm6tSkdu30AACapv/+93d0uoC0tB1jxgyNjOzqZj5g6NBnP/zwr+vWbQkM 1CUkDPLyUtyj9BuNNUVF5RzHMwxTWVldVFQmDLRFReVeXopOnTrgdLp6bkj2L4WCpmn59OkT8URu //69fXzamM21zm1Dsi9jDwaD2WAwxcb2Fn/1SvYvAkGMxCgoLKoJsCzLMDdcNBq/6dMn0rQcAEBR lEqlbGqycxwnPDvwZL0bkwMGRA8YEO3gyPMIQoljG+LVR2HtRzLaceNGCG/cMhmF0yA2BCHE35HB wR2Dgzu6H1rwF6pcLm+tz4JmIaT/XhMb22vLlqw5c5YAAPz9/YTZIQhhSybQeB4Jn+x4RlSj8QMA yGQUjnbAgOidOw8IW0bd4/z0F5aTW47Vavv3v3+orb31Ldi/f29Xs2Q0LRfWa1mWvbsiomnaOaBC IY+Pj6Vp+Zo1m6ZPn4h3lsrlVHh4yPjxL27dutfLy8vNbjX88jdlyph167bu2LF/7NiEezSHT1EU 7oY0TXt7ewnLjeXlFzIydiclJYj3E0g+N3ABSvYvufxGmxk7NgEAYDbXukqGQ18GAFittvXrt/Tt 29P52eIKjuOFV2rCk4zEKDhsWPyKFesLCoqFtZ/g4I4vvPDszVeqG+sZJlPNmjWb+/btGRERlpa2 g+cRnglJT8/s2jUUz4Cp1UoIIU3Lu3XrMmLEIBwbXncxGMxqtfLmGgmorLx07twfr702AQCgUNAQ QoPBZLE07N17JCVlMn53dlgXVKuVvXpFCtFqNH7NfSrpdAFGYw3+W1iPuc+HiIxGc21tvdVqMxhM er22tR5e4k32eG3P39/XZKp1WGcyGs0QwsGD4wAAer3W/Yyi3c5YLPV2O2M01tTW1uHFGLyuZrXa 8IoXbhs6naZPnx7R0U/hgEK+hHXB3NyzoaGdunfvWlJSgev6phG8pgWFtmGxNKxYsQ7PHAr1tXXr 3sLCklYpKJqmhw2LFx8dczP7/ec/T8zI2O3n56PT+WdmHhDWnzxHtC4IAABqtUq8/6t//z5yuXz5 8nVz5swQHLt165yUNPy77zbMnv2GWq0UFgvBzf4lJF6tVk2dmvjTT5szM3/FfaTV0Wo1Q4Y8zTDs kCHPFBQUDxjQBwCAELpw4VJTkx1/yQlIPjc8tyU8B2463FrvdKaysrqkpPLtt6c5uLvqX7W1ddu2 7Xv99Umep4fwuCIxCgYGagMC/AoLS8LDQxUKWqGg33ln2hdfrMJrJ8J6xo4d++PjY2NioiCEycmJ q1dv7NkzAgCQkDB4z57DK1duAAAkJydGRUXQtDwmphSvM4Gb6y56fUByctLChcvwe31ERNiMGcnY Q1RUBPav0wW8886027eJ3loXHD16aGrqGiHalJTJ8fH9AQBarcZ5S5hKpXR4xDvkS6cLwOsxdjsT GRkuNnrvwGs/RUXldXUN8+Z9smDB2+HhoQ7pDwnp2NwDcHp9wNKl3wr/xGt7M2ZMXbZs5dq1GQAA hYLG60wc13n37kPr12/FPhMSBo0dm+BcVpjS0spPPlleV1f/44/peXm/4/VCvK5mMJhZlq2ouIjb hoMtIV9bt2bhdcHBg+OSk8eoVEqhrrGJwYPjxo9/UaVSCm1DpwtITBxeXX1FXF8TJoxsrWM8CgUd ExPloefw8JCkpOE4DcnJiXgnp+e2IIQQwnnzlgouw4bFT5o0SmhvMhkMDe2IZ1bE9R4c3MHXt41c Lndo87h/lZRUCPWlUik7dmx3T3f/jx49lGEYlUr5wQezcLJNptr8/PMzZ74i9ubquQEAkOxfzu1c sm0Aqb7MMMyBAzm4/zq4O/cv/NPZs+cBQKGhHVtaHIRHH1hdeT6wXQeGqb9uv/X10NRk37hxZ2Li MGGzHMMwwuvyzc3NPIRQmLjDU5erV28CACQnj7m5+V6GOyRCSJhKkjyoAG4/kyD4d/i8s9sZIU6c Bo7j8N9iW+LBUsDhaIerfLnyeY8QH/aQy+X4nK84/Q7l3Nw4MThrzrbWrNkMAJo0aTR2XLhw2csv j4qJ6eGqBCTry1UZOudLsg3csW0oFDTLshRF7d17NDa2l0ql5DjujTfmff75QufF4/sAzq+4HTY3 rADOr4tDRxL9C7ho8+IYXLX/e8rtB1duc/ewf0m2c1dtwzkGVy3WuR1ix7S0zBEjBgubSwmPB7m5 +Wlpmc6nvJzxVmjlMmVZwdEL1Veln/VeXork5ESxi3MTd5hSx02QomQ8j5ybo6t1JldzmB76pyiZ 88y+sGbggGQnkey6920IlLTlkP67WLpwlX5n97i4PhkZuxcuXIb/GRTUrlOn9m5ikKwUD8vQVZ16 UtdyuZzjOI7jvvxyldXaCABISBiE1xrvPy2ZJ/CkrLAfyf4FXLR5cQyu2v89xVWZeN6/JNu5q7bh HIPnbR47TpkyRtI/4QnE5ePeaKzR6fybu0yFzye1OFWE+0S3bp0nTnxJ2IbQuXOwVqt5sElyBUVR Q4Y8ExioRQhBKIuMDLvXggaEJw2Lpd7Pz+cebSwiPLS0so7oPTpXd59pubangCcamA9WR7Rz504O ph9aHVFXa3j3U0cUNEcn00FHFNxetiqVMiIi3KG+xBqYYn1Rz3VEJd0FW2ItU0GzFLRqGQrlI2kL l4kQv5B353wBqTbjSovVVb4ky9C5jrD7li1ZWq1m+PBB5AXriUJ6FPz++58TE4c/KCltg8FcUXEh Nrb3A7EOAKira9iyJatHjz+1fBQsKCjOyNgjnL27F7YyM3+VyeCwYQMXL/5m+fLFAIBPPln+6afz 7/qNpKCgeO7cpeLxZvz4ETi24uLy7dv36XQBwhiA03/69Llx40ZMnZrkPp0ZGbu7du0MANBqNUlJ CQ5bCt2kx30ZGo1mnPdvv107fvzImJgenkR7d9jtzPLl6wwG09Kl8+7oGacHIR6n325nNm/enZ9/ Hv+qVHonJAyKiYkS15eQlxMnzhw4cKyh4RoAQC6n8vLOJSePqa6+umnTrtraOhxDUFC75OSk8vIq 5/rSaHydbcXF9UlPzzx16ne8rRRvxB02bCBFUZ6XYVFROQAgNDTo2LG8Z57p6zD3g/OoUilDQjpK 2hLHb7czOO8WS71zvjiO+/nnbRcvXsGOuM1oND7vvvtRr17dhRnUuLg+oaFBkrZycvKcy1AsDFRU VL51694JE17E7XnSpFFvvjm/f/8+j8fbPMFDHmEd0WZpD4p1KSlKjrVGXelSutL2vAtb4KYGpiuI jugjpCPa1GT/z39+vnLF6OGlPA46ohZL3e7dh1at+gwXyKlTv2/cmBkTE+VQX7jotm3bN3HiSKwj ynFcdnYuTdMOOqInTpzBO2Wc68tgMEna2rZtn7CryGAwz5mzZMiQZyiK8rAMPdcRZRhW0hbH8eL4 cd4l81VVVX3x4hUhX3j0BS60WCVticvQbmdmzFiQmDhUGAV5Hh07lte2rU54paNp+csvj9q2be9r r42/n5sDCA+WR1hH1HPtQQddyqFDB164cHnGjCmSupSS2oN3bQtrYLqC6Ig+WjqiGzfuDA7uEBvb Kz19pyeRO+mI3joHqddrIyPDBH1R91AUhU8BOYDnS6qqqqXqS9qWcOZSo/ETyg14XIae64ja7Ywr W3dEyJfYEc8cGAwmSS1WSVvCGVm1WqVUKhcseFs434kQyss7e+WKUXxkkKKovn2j3n1367Rp4zxJ J+Hx4BHWEfVce7BZupSS2oMttOWy9ImO6COlI4olNPPzCz2M3EFHVDgjK5PBMWOGde0aGhER3io6 OM71JWlLJoPCGb6EhEGRkeFRURE4Bg/L0HMdUfF5QQdbLcRZi9WVLeHcat++Uc8+269791sqdEZj zdq1GQsWvPPQbgcj3DceYR1RV9qD7m15okvprD14P225KsMWQnREJWmWjuhdX9mIgRDGx8fGxfVh WfaHH9Lz8n7H64ItiRPjXF+StgYMiA4PD8X53bJlz44d+4V1QQ8Nea4jCgCQtNXyzEpqsUra8vf3 +/DDv/I8OnHizObNu4V1QYTQwYM5oaFBHt5wSXi8kTijQ1Ey4Vguxr2OKM/z91RHVOwHOOmIirUH nTeYSNq6653Q983W/dQRvXTp6pw5S+bMWXLp0lUh/ficFv7vLqJ1ryOqUNADBkRfuWJ8SHREly1b uXDhMuG/rVv3tlbkzrbWrNksk0GVSvn229NGjRri+egudEAxQjk415ekLY7jV67cYLU2KhT0xIkv vfXW1HXrtjgs6LrHcx3RltiSrF+O44Svf6zFKmTWla1Nm3ZdunRVoaCffbbf//7vXw8fPo6lt/E9 kTNnTnM+pGi33z/FDMJDwiOsIyqJQkG7tyWpS2m3s1qtv8XSgD9KPNT2bJYtVxAd0UdIR9Riqbfb 7UJ9NVcb02ptzM4++fzzT+M2b7U2tmmjAi70bMX1xbLc5s27X355lIOO6M6dBx3WcTEajZ+kLY7j CgqKq6uv4GsRxXcZeojnOqKubEm2Q8l8OeiI5uaelcvlvXtHSmqxStoqKipTq1Xe3l5iW1arrbCw 5KWXhji/4bEs++23P02fPoGclHiikFZQ++abNe3a6UeNekG4LdNZD/DHH9N79PgT1hGtra1bvXrj a69N2Lp1b21tndForqysBgBgrUWalqenZ27btg9HjtddEEJHjpxctSpNrCOKD1chhLB/rCMqSP8V FBTPnv3xX/7y2ogRg4V0PvfcAPFODSGsK1s6XUD//r1Pnz736afzhXwpFPSECSPLyqrefHMKQmjx 4m+w9mBgoFbQHrw7W889N6C6+oqDxKIAwzDOtnbs2E9RlJs8usduZ+bOXSI8VcHNtaKGBuuyZStx vWAd0ZiYqCtXjF999WNV1SXsE+uIVlRcPHjwmHOaCwtLsI6oQkH37BmJ15+MxpoPP/wC64iGhHTE baO2tk5sS8jXqlVpeEJ18OC4yZNH47kpcRlid5VKKVmGQn1NmDBy/fotX3314X1WUFu5csPhw8cR QnV1DRqNr1gb0xNctXlx/xLavEMZ4vpiGDY1dU1u7lkcIe5fJSUVCxZ8hgdUTErK5IEDYz231axC sNsZrCNqMtUKewV++WX7pEmjcP8VaGG+HJ4buG3YbI1/+csH4s813O88t7V371GO44YMecZ5qCsp qfzhh/TZs98gymqPKHenoPbI64h6rj0o2MrPLxRKSsiXXC7nOFY4BOKsPXh3trAGpps5FqIj+gjp iIo1PIW0NTeSlpQhcKEj6rByLOnu3lYLaa6OqIf5kmwbklqsnttyo7O6devep57q1lpC7YT7zxOq I3oXYSG8pcQozpdMRovz4sDd2XIVm5tfiY6os62HREdUUsOzubSkDF2lwVU/8txWC2kVHVFJTWDn LLTQlhud1TFjhkq6Ex5vWnkdWNARxdMmd9xTZ7XaJC8dvad4fk7rsYfoiBIIhCecVh4F8c4ChNCe PYfq6685fFA6k519ymAw4Tvt3Pt0pQeI3Z11KZ21NLEmIdYYFG6ld8aVzqH75N2R1opHjFhzEnig bylZVvgFXNCZbMX0tDqudESd2wbWVpXc51JVVW001gg6kwQC4QmnpdM7khiN5oyMPUlJw+/oc+jQ Z/PzzxcWlrr3dvToyU2bdqelZaalZW7evHvt2i14x7PIfYcgsAQAOHz4xNy5S8RHoQ0G87p1GWlp mTt27N+/P9thdUfMt9+uFdKDdQ7F8Thz7Nhps9ni4FhUVC5Ojyfx3AVY+1HYVl5QUPzddxtceWZZ 9uDBY998s2bFivVi95Mn89eu3fLhh1+0/PiBQ3paiEMZYgwG84kTZ8Qukm0jM/PXrKzDktGePJmf lXVY8uDBHW0RCITHD+lvQZZlEUIO8+xY7/GOb9Acx69fvzUhYZBS6e0QFv8taEUCACCESUnDd+8+ GBYW7Gav3a5dB5OShmM9QJut8Z133k9MHJqff/7UqbNvvjklMFBbVFS+adOu5OQxQUEdjh8/feLE maYmuyCLZbXafv55W69e3f/rv/5stdpWr960fft+B9kLAYZhf/ghLSSkg7+/35YtWWVlVTge8TI7 1vbEWpebNu3CaRPyZbczWGsxNDRIWLpnWZbn+Zua97fWMJz3LwiapUJduFlZdNgWIWwlcNZ9xTo1 ubm90tIyxUHGjRsxcGA/4UZvjGR9sSwLIcTurrY4uTngj+PEOq4OerDOtiTLUFJjFmtFRkdH4VOt b765IDFxKEKI427toBBdUcuNGvWCpD4t/vuOerbutVjBnXRfJW0BqfrCccpkEJc5+XIlEO4R0o/X 1NS12dknv/56kSC7BwDIyjry1Vc/Llv2d/e79jmOy809+/nnY4RngaRWpNCrY2KivvlmDT7o4wpB 29BqtaWlZSYlDdfrtbt2HRL0Trt161xbW2cwmO125siRE9OmjTtzpkAITtN0586dfv/9j8jIMIul wWq19ejxJ1e2IIRPPdVt+fJ1UVER1dWXhc3f69dvEz4vsLYn1tU8ceK3kpJKtVoZH98/JWWyxVL/ 4YdfnDyZ7+3tdeBATteuoQsWvI1DnTp1dtOmXVgbE2uxSuptZmUd4ThOOBO5cuWGwYPj3Jc5vhdN +Kek7qub4M5kZ+euXHnjsxLXl9Vq+/LLVX369EhPzwQ3dV/9/f0EW3K5/KWXnncTZ1bWkR9+SA8M 1I4c+Xx6emZCwiCsj+psy2ZrdC5DCKErjVmEANYdbWqy48IUwGccd+480L9/78jIcGyLZdmvvvpQ aNu4Hj3Rs5WsLwihc9uQHAixdqWDdq64DMX1lZq69vjx06GhQbGxvTMy9gi2mlWPBALhjkiPghzH yeVyh08Q/I1yFzbOnj0v1oo8ePDYsWN5kurArhDuZlu3bmunTu2HDHnG1eMgLCwkJWWKwyqjQkE/ //zT33yz5t13P9Jq/RMSBnXpEuzKFoQwNDSoouJiefmFLl1CTp36HbuPG5eQkBCP/8banlFREUuX zv3wwy8TE4f36hWhUCgAAH5+PvPnv71hw1aapsePHwEhpGnabmdMpprjx8989NFsuZwStFgl9Tbx gXdhja2i4uIddTv//e8fhE9bV7qvzfqYiIuLxroH4Ja2Z+z27fs7dmyH6zEv79zy5Wtnz04RbNnt 7DffrHEz62swmAcPjhs0qP/KlRsWLfrbV1/9iPVRnW2NGzfCuQwBAK40Zo1Gc1bW4UWL/lZVVb1k SapgsaCguLCwZNu2vZMmjQ4LC8H56tIl5G9/+4f4mDzWR8V/43zNn/+2pC3J+goM1Dq3DUndV6xd 6aCdO2HCi5L1dfHi5ddem8Bx3PHjpz/6aLZgy/NKJBAIniA9Cv7Xf/2Z4ziH5+bIkc8PGxZ/F/JC DlqREyaMxBfNNAt8b5lWq3Evewgh1Gh8Hebl7HYmI2NPWFjIrFmvWyz1P/6YrtH4OqudCej1AYmJ w7Zv3/fmm1Pwpw8AID//vLBMVVRUZrczWFdTrVb5+/sKuYMQBgZq8SZ+8Wk2nS4gJWVKhw5t8T/x i78rvU0gumfOk8K5ds0mZNmV7muzqKi4mJOTh/++qY8KIiPDTxaOWAAAIABJREFUk5MT8RuGTudf W1uPELBY6vX6AJzTv/zl1TlzlriJVq1W6fUBZnMt3uqJ0+xsy1UZutKYVShovV7766/ZFy9esVhu 3FF39OjJqqpLAQF+K1YsoWk5bjMKBR0YqHWY6jcaa7KyjuBZ2aqqaoulwZUtSS1WINU2XBSAhHYu zyNxGYKbbQMA4O/vCwCwWhsDA7WCLQKB0LpIf9shxDt/a+Ghy5PtfwoFzbIut5/wPC/+pmRZ9o6f KU1N9u++26BQ0GPHJghDoFjvlOM4QeTTGYulfu/eIyNHPo8fgoMGxW3bdgetyG7duowePVSwlZOT JzypxXqGYiTdeR4Ji16C5pP4V0m9TQCA3c5yHOfJ6wLOu/gWQ1e6rx6CNSHx3wjddk7c/TuQw1H9 FtoSRyupPykssGk0vjNmTAUAJiUN//jj93AZUhSFPTi0NwesVtv69VuEcaupyS7Zwt1s+XHfNux2 xlVYV9q5BALhftL664Jyufytt15ZtSptzpwb14lJ6gEK6vI//JA+ZswwsSFn/vOfn728FIMG9Tca scAN1OsDhg2LT0vbcfjw8YiIMEGXUtC6RAjhqUV839j48S9+//0vEya8aLE0HD58XHypmCRarUar 7SM8HKurryiV3lgyNDf3bEXFra8rQRdRnC9BFxHro06ZIn1iRFJvU61WXr5sSEvbMWhQ3Pff/4K1 WF0kE6rVyqysI0FB7Y8ePdmlSzCW0ZLUfQUuNEstlnq8nmowmPFnSkPDtZqauj//eQIAoLLy0urV m559tp+rghI0MFmWW7lyvfAd4xoo1q50Y8uhDF1pzOLyDw7ugOckIyLCcL7i4nrHxvYuLq545533 hTVIq9VWW1uP2wbWfbVaGwsLS/7nf/4ba5YePJgj7NJyZctBA9NN22BZFn8c35yRhs7auVOmJErq iAppEEujEQiEVsfluqD4/jbB8cKFy3dco5LJYGhox4YGa1XVJaxFFBUVERNTKuxCxHqA+G+z2WIw mJ97boD7ZX+7nTl8+Di+DBbc1DINDNQmJycuW7YS7x9JTh6jUimx1iXLsnV1DUuXfgsASEmZHB/f /6WXhqSnZ7777kc3NQZdiiSFhHQULytGRobTND169NDU1DU4C4MHx02ZMlrwI9xhJs6X4B/rNwrx 4F8hhF27hspkUAgLRHqbo0cP/e67DfHxsdHRPTZu3NmlS7Cri9nwHXJlZVWvvjru8mXD7t2HZs58 RXzXGhDpvjIMk5r6E9YsnTfvE0EfNS0t8/Dh4/X1DfPmLcVlJa6viIiwV18dFxioFdKMTatUytDQ ILEthYIeP/5FmUzmarZAq9VQFIXTQ9M0LufIyHBnW67KEIjaEq5HmqYlyxDb6t69a2Rk+IABfdLT d5aWVoaHh2Znn1qzZhNuG1h/UriHD2uWJiYOr66+4qGtmTNf0esD3LQN4eMYl4nYFrip7elQXzpd wKxZ08Xlg8+2itsPgUBoRaR1RK9fb3r99Tn/+tf/iBdFEEKzZy+ePHkUPrHgnpKSynPnigRFIlda kceOnUYI9e/fx/1Eqxv9RmFDueTGfSClSeh+AlZSH1WcBpkMQihz8OOQBrF/QcNT/Kugu+hes9SN 5qGAELNYy7EV9RtpWo7T4KAVKbbrrMXqjCt9VElbkmUoxONQj55rsTZX99UTW8CDtiFOv4fanq7a IYFAcEVr6oju3HlgxIjBDjqNJ0/+FhLSwY3qipjw8BDx95Yrrci4uD6exOZGv9H50dBcbVJnW5Lx NysNzv4d/AhDhXvNUjeah84xi4ef1tVvxGlwiFPSrqDF6owrfVRJW56nTTJfHtoScKX76oktV+l0 5d9DbU9X7ZBAILQu0l0rOrqHsJNNIDS0U1hY6EOrM0kgEAgEQnORHgUltSjJWSUCgUAgPGaQjdoE AoFAeHKRHgXFB84EOI5zoxJJIBAIBMIjh/QomJq6durUWTcP590gK+tIYuIbBQXF9yVhBAKBQCDc c6RHwdbVESUQCAQC4eHkfuiIEggEAoHwcHJPdEQJBAKBQHgkIOuCBAKBQHhycbkueNc6ogQCgUAg PCpIj4JvvTU1MjLcwRGvC977JBEIBAKBcJ+QHgVbriNKIBAIBMLDD9ERJRAIBMKTywPTEUUIlZZW dukS4rzp1GZrLCws7dSp/UOlXFpVVY2v7QUABAd3DAzU4nQidOMadK3Wv3PnTm7yRSAQCISHjQd2 +M9oNC9e/M3y5YudL5oxmWo2bsxMShr+8IyCRUXlmzbtqq2tw/8MCmqXnJxUXl41d+7SmJgo7KjV apKSEjQaH1f5IhAIBMLDhvQoyLIsQsjhzjOO4ziOb8WHuytV0nbtAj/88F2alrvyLHnlKU3LIYQ8 jxDCd6wiAABFUfieNp5H+IJv4OJ6VQil7+TD5OTkdejQdv78mfifJ06cwbeqxsRECTc6rl69KScn b8SIQURtlUAgEB4VpEfB1NS12dknv/56kV5/62ssK+vIV1/9uGzZ37t373rvEmSx1H/44ReVldXT p0986aUh2NFkqlm+fN3586UAALlcPn36xIED+9lsjRs2bDt48Bj2M3r0CxMmjDx/vmTHjv0BARrs 3rdv1MyZ02hanpd3NjX1Jzw+hYR0nD07xd/fr6Sk4uuv15hMNQAAjcZ31qzp4eGhniQyNrY3AKCq qtpmazQYTDedkUKhaM2yIBAIBMI9RnoUfIA6on5+PvPnv71hw1az2SI4pqb+NGhQXErKZACA3c5u 3JjZs2fErl0HaVr++ecLsZ9//vM/ERFhdjuzfv22xYvfw+6bNu3etm1vfHz/tWszFi36m0IhBwCc P1+6a9fBCRNe/OKLVW+9NVWvDwAAGI01X3+95tNP57v/2BXWAvGrwNGjue+++xH+afDguPHjX7Ra bfekXAgEAoFwD3jodEQhhIGBWodDGteu2dRqZWCgDv/znXdelcvldjuTk3MagBubUIqKyvCn3tCh zw4fHk9RFABApVJarY0KBa3Xa3/9NRvLAAQGaseNG4EQMBjMhw4dV6tVAACLpa6qqvqOycNrlidO /PbppwuwrY8/fg//hCdayShIIBAIjxCPpI6og6gNZty4EfgsI4QQD4ECGo3v//t/k4TxsqSkYseO /eD2axQ1Gr/p0yc6LEY6ExzcccmSuTExUXhrKIRQoaDxf568H5A7GgkEAuGh4kGuCzIMYzCY8Swl AECtVqnVKoSQ0Vhjtdrwr3p9AITQ39/XZKrFK3Asy23evPvll0ep1cpevSJHjBiEg2s0fgoFLfk9 Z7HUb9iwdfz4kdhWYWHpoUPHRo16ITi44wsvPItnRAGA2JZkUtVqpdFYIywBqtVKCKHkYOwqX/jv +7O2SiAQCAQPcbkueK91RCGEEMJ585YKLsOGxU+bNtZkql206EuDwcyybEXFxQ8+mKXR+M6YMXXZ spVr12YAABQKeubMV3Q6/9Gjh6amrhGW5VJSJsfH91eplOLDjlqthqIoPz+f6OiohQuX4W2iERFh M2e+olDQ77wz7YsvVlks9QAAvT4A25JMrYOt5OTEqKiIkpIK54OVrvKF/yZ3NBIIBMJDBayuPB/Y rgPD1F+337pB4vr1ptdfn/Ovf/2PsBQHAEAIzZ69ePLkUX379mwV2wzDiMdZ4QCD2F3yUIRcLscT sxzH4xMLAACKkuGJUJZlhclJfGYCu0uetZC0Jckdbd0xXzg9DMMK6ScQCARCa5Gbm5+WlimcXnOD t0IrlynLCo5eqL4q/S14f3REXZ3Pk3SXXHWjKBk+DujKp3iNUHKQc3NGsLm2PIkTryN6aJFAIBAI 9xqiI0ogEAiEJ5cHpiNKIBAIBMIDh+zUIBAIBMKTCxkFCQQCgfDkQkZBAoFAIDy5kFGQQCAQCE8u ZBQkEAgEwpMLGQUJBAKB8ORCRkECgUAgPLmQUZBAIBAITy5kFCQQCATCkwsZBQkEAoHw5OJyFDQa a1zdn3d/sFjqH2wCrFYbuRGXQHDmgfdNAkIIXwnnwAN/bj+KSOuIlpRUZmTseeONSfi+PYTQ2bPn 7XYmOLhjy9VEzWYLx3Hu4zGbLd9///PYsQnh4aEtNHd32GyN69ZtjYjoEh/f/4EkwHPMZkt5eVX3 7l1VKuWDTsuDAbdPH582nTt3cuPNZms0GMzOGrk2W2NhYSlCfEvKsLCwJCwspKHBKrRtXC/4V63W v3PnTkI/wo4qlTIiIlwmg2J3CGFUVAQWsi8oKBau8xTSVlVVbTDcuAQN90eHfOH+pdcHSMYpaUsc p9iWZL4AAFu2ZGm1muHDB93xghQhbTgeZ/+u3B8SWqVttDwNzmVoMtX++OPGpKTh4eEhgk+GYX75 ZXtcXJ/o6Chyd5vnUH/76zvqNj4838Ryt67P/eyzFcOHDxLKt66uYfXqTWlpmV5eip49I1tocuPG nWVlVe7j2bhxZ5s2qkGDBri6/P1e89tvhTk5ea++Ov7uLsUtKio3my1arX+rJ8yZ/PzCrVv3RkSE uboi+IFgtzPZ2blBQe3vw63CuH3yPB8ZGe7G22+/Fa5bt2XIkGcc3C9fNqxZs2n16k19+vTo0CHw LhJgtzPz5n0ycGDsrl0Hcds2GMwbNmzNyTl97lzxuXPF5eVVgYE6nudSUhYYjbWFhSXnzhX/8UeZ UunVqVN7oX8dOXLi+vWmfv16KhT00aMnd+48ePr0OeyzqupyRESYQkHv25e9Y8evK1duqKu7FhTU tmPHdg75wv2rfXu9YKui4oLdznTp0kkmk0na+uijr48ePVlWdsHBlnO+sImIiLBPP10eH99frVa5 LxmctoEDY3E8Dv6PHj2Zk5PXs2fEQzsKtrxttBzJMlSrlTIZTEvbIW7PFEUFBbX/5JPlL774nHCj 3BPFpUtXz50rHjp04B19yimVDNK1xqr6BqvEt2BOTl67dnrxa7VG4/v++/+9evUmjuPFPiXvrRVf h0vTcjyMcRyHw+I3X45z981eXn7h8uWrSUkJ4tcZD23xPEII362LAAAUReFLAXke4Yvmwe3X3kpi tdqOHj3p0JIEWxRFIcTjGIR8iW3Z7Ux29kmeR6GhQXe05ZwvfB89w7DO+RIuOMR+sHt0dI/o6B7i 5wjDMDRN47RBeOu+Q89t4bLCz0H3ZcgwDEXJsbtgi2VZg8G8YsX6mJgomqbdPOPc5EvSlmS+VCrl vHkzHbq9ZDtkGFZcj9hucHDHJUvmzpmzBCHp5i225QqZDAKAZDKII6+qqr548Ypw2+fq1ZtycvJG jBjUrp1+yZI5uEDwjaADBkQL/QsA8Oqr43CQbdv2TZw4Et9ozXFcdnYuTsO4cSMGDuz37rsfCfEA ALKzTx09evLZZ/sBAIT+JdiyWm1r12Zs2ZI1btwISVsQwhkzkrEtu52ZPv29xMSh+GnrkC+hPF9+ edS2bXtfe228++YNoYzneSEe8U8cx+3ceWDs2ARsyP1zA9zev7AfhmGFtoEdcd9ECDW3zbtKf7Pa huBI03KWZXFbddOXhTS7f0a5KsNu3brodKdzcvIGDIgWHP38fPr37719+75x/5+9c4+Lusr///nM zGeUGZWBuawKAgq4YGKKpvgr0TIFNRVETcWs7Bspuq1b5i13++qWl3Lb2pLUNlPzUiDiDS+YSQhf vCCarsByB8V0hoFBA3Jun98fbz1+ms+Fz4DXPM+Hf+DhcN7n8j6f8/mcy+vEjRIqFMEFHg8uLq7Q aDxbnPmsra1bt25bUVEZQkihUMycOXnIkKcoitq+fW9GRhbEGTfu+UmTxths9qNHc7Zt240Q8vf3 0eu1Xl6eIimbzfVms6Vnz+7itpqamnfs2JuZeYJtq6iodP/+o97eGggfMCAsMXEGTSvy8y8kJX0D bufv7zN/foJIHhobm/LyLiQmzmCHYFsDBoRpNJ6DBvUNDPTH5cK2mpqaly375PTp8+3btzt2LDc4 OGDJkjlCz1DecmVkHL92zXT58lUIx+U6dix3zpxbWcrIOO5wOF54YXh5edWKFWvr6hpWrHinV69g hJDdbt+wYcezzw6urLy8ffsejabTvHkzg4IC3LK1bNknHh4eEyZE//DD/wUE+AjVYceO6g8+WDtw 4JM7dx6wWm3Y1vbte/fvP3rmzIU33liiUCgWLpwl9JUmXi4XW7zlstvtH320/vz5woiI8L/85TWc MtcPEUJNTc2bNu1k+4bQCF1aWvn551tqa+sQQtiWkMMoFIolS+bo9dqRIyPF38FtNpvRaFYqFQih xsbmDh1a+JYC5HK5+Mx89+6+584VOJ3MkCFPcX+rVqv69w9LTk4XeTKaTHVGYy1CyGq163ReCFEi 5ZLL5QMGhL311p4ZM+LEcx4aGjh79nScDg63Wm1Hj+YEBHQDp2X3L8T33EC326uxsemtt/5us9lH j362vLy6uflX8I2FC1eaTHUDBoR16KA+d67AXZ93a86J1zfYtkaPfrauzvLii2Pz8s5zbZWXVx0+ nBUbG7VxY3JRUVmLzyihOtRqNd7emuLiCvYoKKWtCS6IvceJk5T0zdChEQkJUxFCVqv973//NCQk 0GDQxsVFR0dHQpx//OPfISGBNpv91KlzH3+8FCFUVFS2YsXaqVPHt8XWzp3pffqEHDyYSdMKSBbb slpt27fvXbHiHQhPTT20d++RyMhBW7emLV/+Njx9iorKDh7MnDbNjTzs3fs9tpWaeoiiUGCg/4UL Rbhc2FZc3KjFi+fs2LGHpumJE0dRFAVDIHuNB91eE+KtQ6PRvHlz6ocfLoFwKJdCoairazAazbAO VFZWFRjojxAKDPRftWrh8uX/wokrFIoRI4b86U/vTZw46uOPl5pMdZ9/vuXDDxdLt2W12rp0+cP8 +QnLl3/65z+/mpV1iluH+fkX163b+vbbCSdO5Dudzvffn69QyLGtuLjo8PAnVq5MWrVqkVJJw1Qt e50MgCegSLkgGthavHgOb7mUSjox8aUTJ84eO5bLTpzrhwih7Oy80aOfZfvGxImjuc1ts9k++WTj 7NnT9XpvhBDbFq97yGQUjJEtvjuWllYtXLjy0qWfdTrv8PAnEhNfEo+Pbtcbe22Pi16vjY+P+frr FJWqPcM4Kcq9WWibzZaU9A1N0yZTbXBw98TEl6Dg0sslhErl4efngxByeYeAvjN/fgIstrH7F0Io JeVAWVlVQ8MNbv+KjBxotdpWr1782Wdfjx79XHPzr+CHJlPdokWzjx8/TdOK2bOnu+vz0hd6hHyD besf//hyzJjndDovXlthYSEymSwhYfF7781LSJjK+4zCPi9Sh4S7RetHwV9+aVKrPQwGHULIarU1 NjbD1/r580XFxRUQp7i4HF5tGhubIabBoCspqWyLLYTQ3LkvKxQKq9WGEIUDGYYBWyNGPBMVdevV VaXygIzV1tYbDFp4iBgMOjzzIBG2Lei3SiXNMMy5cwUHD/4IcX76qXDw4HCKogwGrUbjCYbgV3a7 PTPzRGXlZZygv7/PH/8YeONG47Fj/wfhdrv90qWfoQ5nzJjQv/+t9W0oV58+oSdOnM3IyJo+Pbag oOTKlWuzZ09HCFEUZTDoXNbtNZqOer13fHyMSuWhVCp79QqWy+VC7cW1BaWDYUmv98Z1WFhYeuRI lkwmRwhVV9dYLDcQQjqdd0LCtK5d/wCm4QVZrVYZDFqoCvzgLimp2LXrEM4kTSt0Ou9evYJ5y2Uy 1WVkHIfZMGyLt1wIIS8vT3gkseH1Qz7f4IFhkNFo/vHHkzBZZ7E0VFfXtOgkUggNDVq/fkV6+jGT yRwfHyNlKbekpCI19WBe3vnvvlsrMhp5eXnOmDFh48bk8vJL7I8DKdA0/e67c3U67+Tk/ePHjwgN Db6n6/FWq62wsDQ0NAgvE7r05VmzplMUlZ9/AT83EKu9wK8YBqnVHmq1R339ra2SBoMWOoJe7w1+ 6JbPS4RhkMVyXa/3xhnj2mIYpFJ5QB1ybVEUpVJ5xMVFQ3jfvr0gYfYzSqfzwuUi3Gt4RkE8Yd0K cnPzc3PzYVeIw+Hg7tl1OpkWNy/BmyzDMEJdUXwrMEVR4rNSTifT0ssyJZffmosHBg58cvfujAUL ViKEvLw8eWcbBg8O5z59YA1AoVDwvvU7nQzOKszYwPApk8m5tfTMM0+lph4sKCjhrlnyAusKGk0n eA8VgtcWL3K53OlkYLOLn5/P88/fmrKGt1cRYD0vIqJfREQ/7m+55WpsbNq+fXenTh2hjDdvWtk5 lFIuIT90OhmJu3XsdrvNdqsXaDSeM2dOpunWvzKyoWk6Li46I+N4WtrhadPGt2unFI8fEdEvPLz3 zJnvuKyrcdHpvF97bcrSpWu4v3I4nHjxlReFQh4U5D9x4ug9e460a9eOvfOQF6vVLr4iKITD4UxK 2tK16x9gjpoXhnHK5XentnkR8Xmr1dbiWj4vY8cO37fvaHJyOkLI17czfL0h4ScezgM8NGA62i2c ToaiEMxds2mxrQku8DT2yJGR69dvLygogQkrhBDDMCZTXWNjE6xq6PXeFEV5eXWqra13WUuoqbnq 4dF+1KihCKG8vAuVlTUIIaWSpigKYlZVXdmyZdcrr0wSyVNoaGBgoF96+g8vvDAcQti27HbHrl2H XnxxrFrtgRczEEJqtQdFUQIDJKVWe+D1mKqqKxcv/lckDxpNp3HjRnz11Xd4vcpkMlMUNWxYBEJI r9fCrnSlku7ZswcUFiGkVqvwuy3Om7gtnU7Tr1/v8PAn4L96vVbkHbxnz+4IMWfOXCgtrcIZs1pt Fst1q9VmMtXV1zeILHbytpdQ5Nv58WbFobp16xIVNRTqkKZpLy9P0belW3Uuk1HQXtzPNaFyNTY2 FxaW/vWvf1YqFRbLjczMXPFvJpPJXF9/vbGxyWishTrk9UOEUE5OXkpKOrQjQoxSqUQCdejn5/P8 88/czjMFPi9eXWzYPs+2Bcjl8uHDn9637/t///vbOXNmSO9fCCGL5brRaLZabTCN7DJHqtVq8KsG XoO0WG5kZZ187bUpSKAvs9siNjbqyy93zJ//OnsJygW73f7FF9/MnDmpFXs7zeb6ysrL06bFsO26 9OUDBzIHDeorXodeXp24/V2t9sBbUZD7Pm+32+FNF89+8/qGTudtMtXBn5hMdRpNJ4pC1dVXunTR w+DXvXs37O0pKenBwQEwIQ/PKAHjv3lGSVkzLioqLSurfvPNV9mB9fUNe/d+D21NkAjPKGgwaL29 PQsLS4OCAvDZlOXLPzUazXa7vbLy8nvvzdNoOs2aNX3Nmg1bt6YhhGBtRq/3HjduRFLSlrfeeh8h NGxYxLRp41Qqj9DQoP79yyAwJCTw5ZfjxJcZVCoPH5/ONTVXm5qaYYqDa0un82LbQgjFx8eEhYWU llayD4RptRq5XK7Xe8fHxy5dugYmQkNCAmfNihfJgFJJh4YGFRSUwoMGIRQc3P3QoR+3b98DEaKj h06YEB0WFoLLhRAaOTJyxowJ8DPOm7gtl3ItWTInKCgA8ozj+Pv74AnPWbOmb9q0c968mXi7TVlZ 1erV6xoarm/alJKf/5+FC2cpFAqKooKDA1zeQHnbS8hWQICvUkm/9948T8+OvHUYGhq0cOEs+AFn hm0Xx5fJKGgvkQp3KRfblk7nHRMTVVNz1SV9DKxpFRdXNDTcWLRoNdQhrx8ihKZMGXvlyjUcDouC 3DpUKum5c2d88slGOJis13uDz4sUwQUX3wBbTU3NOP/gY9eu1SJ3+hdCKDk5PSvr5PXrNxYtWpWQ MDUycpBK5cH1eYqiKIpatGgVQkin8547dwZ83vHaYvuYn1/XTp06iH8MVVbWIESFhYVIrxDMgQM/ TJ8e6/JKxO3LgYH+NK0QqcM333yVpmnc38EPx40bYbPZcBy3fB4hhDepYh9r0Td0Om/w2969/7hp U0p2dh7Yio2NiooaihCKjh52+HDWhg070O1nFG4jdg1wn1Hia8YMw5SUVBoMWq1Www6/cKEIISYg wEdqexAQomqqigydu9ps13+13jk2e/OmdefOAzExI/HHjc1mw29dvAcVFAoFuI7D4XQ4HAghmYyi KBlFUXA6gr1d2Ol0ik/oMQyTlnY4PLw37t7ithBCcrkM0rTb78zVwJkJCOc9ayFCdvZppZIeOLAv QmjLll0IMVOmjINfLV265sUXx/bv35tdLpeJFJw3cVvccrHzDOlAHeL4Lk8o3nLBJGSrbUmvQ5f8 uNiF+Li9xOtBqFxKJY1/K7FcSMAP7XY7RclwOLYoVIdcn5cOr2+45J9dLnf7F2rJ54Xyzw1v0cdc 2LPnyBNP9Gxx1pQXF1vscG65pNehkB+2on85nQy7uiT6xuLFq2Niovr1ewJ+m5i49KOP3j14MBMh FB8//vbhnDvl4n0GSn9GWSzXd+/OmDp1HHtG3W63Jyenjxo1THwT/u8YOH2ETyiJ0F6pVcg8yguy L9Vc4x8FCS4UF1ekpR0ymy3wX1/fzlOmjGu7jA6BQPh9kJubf+jQj83Nv8J/+/QJmTz5heTk/U4n g6eICPea1o2Cgm98JlOdTuf1oKRbHjZ69uw+efILZnM9/Ld7dz+XiQgCgfA4M2hQP0/PjnBgiaJk oaGBSiUN5yzJs/Qhh38rUWlp1aZNOxsabtzn3LSCgoKSgoIStrDFPaJ7924DBvSBf3dxCGQY5vz5 woqKS61OwWy2GI1mhmFKSyuhHgoLS9uiA97U1HzmzH/y8s7jf1hk0my25OWdZx98hPyz44jkEyfo VnmbmprZh0y44LJXV9ew83a30pdCQUGJxHJx2+uRA+r5rtRbG331gYPbUSajQkODlEpaq/Xq3783 rDUaDNpOndTffbfvzJkLj2hbPw7wj4JfffVtZOTAB6VLaTSaT506JyUmnMM7diz30ZVRb2i4sXt3 xtmzF1udQnr6DxkZWSaTecWKtXa73Wq1rV69jldvXiI7U1ACAAAgAElEQVQFBSULFqxITk7H/yor bz3cS0oq0tIOswc8yP8HH3yOhVpE8vnBB5/fTnM/PswnJT9ffrlDJAIu+xdfbC0sLJOYLKa2ti4l 5YD0/HDJzj6dmnpIYrlc2kskptVqy8o6iVfLHh6gnltsF5z/EyfO4tUENtnZp48ezcEnUngR+tuH AYZhUlLSDx/OgucPb1+maXrChOikpG/cPaNMuG9I0hFFfLp5vMvRQhp9vHqAvLp5VqutvLw6JeVA 375PuOg3QnwX3b//+Z8pMhnFPh/D1iylKAp0Ke12O0VROJy7LcKlXGwtTYjAq3PYdrgamG7pHEJx nE4GoTtKj3a7nfdsmbgWK1sftX//MO7cOq9mqXSNWYZhYmKiQLuysLB09+7DU6aM9fPzEfcNKDrU BntbxG+3SNwqu0wmc9F7lIKfn8/48SP27DniotAvkdzc/DNnLrzxxjSDQVtcXJGaejA+fjw+LsaF 215IwA+5WqxYZxVraYr0L7xtBL5UxLVYhfQ2ubbQ7XrG+pZC4Pynph6cMCHa5TRtizqi4AOpqQdj Y6MGDOgjXi6hOuT25bbXIaa5+ddDh35ctWohRObVs0VE2/OhR5KOKK9uXnJyuq9vF9AOra2t+/bb fUK6ebx6gEK6lB99tP7EibNXrlybOfMdjabTe+/Nw5uqi4pKFyxYOWtWPD5HCFqRer336tV3zvew NUsHDuzr4dH+qaf6fPrpxn79eqekpCOWRp9wuTp7eHh88cU3Ticjolna9oGQVwPTXZ1DWHvo2FEN 27iF5pda1GLF+qjo1mUutej2uUBIgatZKgSvLYSQxdIAyVZUXNJoPHU6b3Z7IT7f0Gg6Pf30AKir FSvWJia+pNdr2T8jhDSaTlD211+f2rotS3BOLi3tUGxsFOhUmUxm9gQDux5cYPeXnj2719c3GI1m kVHQpb2QQP/i1WLNycm7etXUt+8TSUnf1NbWifSvpqbmTZtSJk4cc+hQZmbmCXEtVt724rUFfojr GYR+eLHb7V9+uePEibNvvLHk3LmC2tr6oKAA3Jel6IiCv5069VNpaZVa7REZOSghYarFcp1bLrf6 chvrELtBY2NTcnJ6bGwUOKGQni0i2p4PPS1LJAjp5o0aNQx0CwMCfDduTH7uuf8npJvH1hFFLWl7 Jia+FB7e+/DhrCVLEhGiXM6ZuWwvBr3KVau+wCFsbc/8/IsnT56dPz+hsbFp376jPj6dcfi6dVvn z08QKtdrry0IC/vj++/PdzoZ0B48ejSHq1na9kumQFPGRQPTXZ1D/NwXv1eIV1ORXS6sj3r+fGF2 dh6c04JzgfAKzNUsdcsWQigl5cDp0+cRQn36hEyaNEal8jhz5oK4b9TW1n/00XovL43TyZSUVMLI xP4Z3T57hxDi3h0onaAg//HjR4IPUBRKSvqGLfXHroc24tJeLv2rtrb+8OGsgABfXi3WiIjwhQtX ff99zvz5CRpNR5H+FRc3KiQk6KWX5r3zzhsff7xUXIuVt714bYEf4noWGewVCkV8/PjS0spVqxat XLk2NjaK3Zel6IiCvy1b9mlMTNSTT4bAkXlPz47ccrnVl9tehxBn797vZTIqKmoovBnw9mXCI0HL vVpIUxHrFtI0PWTIwPDwMCHdPIQQV29TSNsTNCGVShrL9GF69QrevftL9uQn6FX+NrcM1h7U6bwa G5vValVjY1NoaBDoT6LbGn1CeoBqtUql8nj99Wldu/7Bbrc//fRTarWH1WrLzT2LhSewLmXb4dXA bIvOoRC8moq8+qgIoREjnvngg3fgD1k3vPBolvIipI/62muT4+NjEUKnTp3bt+/7+PhYdnshPt1X g0GXkDAtLe1w22tAHIZhzp27GBDgA7Nh774712U7w10ZArlQFNW3b6+8vPPgXUolHR8fo1AoFAoF V4tVqaRpWjFz5mS4cWXQoL4dO3Ywm+t59Wx1Oq8BA/qAbmqvXkGNjU3IHY1ZXlvSy8UwzKlTP1VV 1Rw5klVTc/XUqZ8GDw6HZwhXRzQgwDc3Nx8XYfjwp3v08Ad/U6tVXl6dsIfwlkvoGcXbl4XqkOuH QnWIEDIazUZj7cCBfdmrA7x9mfDwI0lHVEhTUS6Xq1QeN29aHQ4HPnbaolKokN4mr7Yne/URr/2I JB4Q4NuliwFkkDp27DBu3PN3iurOUwy+UBUKBe9Zn7i4USJvwW1HurZnGxHSR6Uoqi0Xn4roo0Ky gweHHzhwzOWKCSG4s8F3faOBw+HYvTvDarUlJs6Qy2UOh3P9+u1VVXcUtAMCfBMSpvK6ELu/OBwO hcK9200VCsXEiaMPHsyERKxW686dB7j39rHXQbGJCROiEUL4AA/A7l9YU9fPz4ftsRI1Zrm2pON0 Otu3b9e+fTunk3E6mfbt20H+eXVEBw58EsRQ4L9paYe5a6t4PY9bLqvVxvuMguVk3r4sXodsuHUI OrcDBvSRrlpOtD0fZiTpiPJqKtbW1m3ZsmvAgD4hIYFwOBTWfri6eTSt4OptGo1mIW1PrB9osdw4 cuR4QsJU6D/cdUGupqLFct1iuQ5CkSpVe5ByEIJXD5B3t6la7fHkk6G4CBqN5926HZurgXlXkmVv 44Q1LV5NRV59VCF4NRV5dSmF9FHxumBe3gVYEyotreTTiryjqWix3Fi/fhvMB+L22rPnSGFh6V2p KHR7jcpstkyfHgPNSlHUs88OdrkJS+gtauTIyOTk/VlZJ0NCAnG5pFu32+3btu1+9tnBMGFoMtV9 8cXW25O9krRYRfRsJdIKjdkWgTsRMzNPzJgxwWisHTp0ENQtr44orNXhInzxxVaTqQ6GHJy3vLwL CoVi5Ej+a8Tvqe6rC1VVNWwtX4xQXybang85LeuICmkq7t9/NDJyYP/+YRRFxcfHbN68s0+fEMSn m+eiBwh6myLanliDEfQPf7tN9DfrglxNxS5dDGq1Bxb8PHeuAPobW38SdBeF9ACtVhtbGxNw0TkE W22ufH4NTBGdQ4no9d7stVJY0+LVVHQ4ePRRXXQpMbyapVI0MHG59uzJgHXBYcMi4uPHq1QevHqb KpUHV0eU3V6TJo1pnXwXL2VlVdeu1UJ+IEQmo6SPZAaDNj4+Zs2aDRs27MDlkm5doVBERUVy/RAJ aLFy/UFIz5a3HaVrzPLacgt4VtA0DZqfEMirIxoREc7VBHbJ27BhEVOnjuMtl4juK7cv85aL1w95 bdlstmPHctlavjic25fhV0Tb8yGn9TqivNqDmzenIgHdPF69TSHdPBzf5ZPLarXhNBGf9mBe3vld uw797//+BQK3bk1TKunp02Pd1W/kvvjz6hy2HXd1Dt1NE8Cany62hPRRhZQkpett8paL1wda9A3Q EZXL5UeOZA8c+KRK5eFwOF5/fdHHHy/lLh63jhaVM6WkwLuZXiIimqUuWqy8/iBUh7zlckuL1V3f axG3dETZeZNSLul9uS11KOQtvHVItD3vJ3dTQa1dO2V8fAw7hNttXKa5wS3kcpnTyXBdRGidSWhe UWJ8uVzmko3u3f06d9bjK9bwWpdL/nEOueVCAiuIXFt3Bd66Yj8CWmFU6EHMDY+I6JeWdghXl69v 527duoikwNsoEutQqE2ltLVCoXA4HA6H49NPN8JVq9HRQ2Gt8a7Q9p0vbUyBtw4Brs9z4wjVIW+u 3PJ5oVy1GqE0RfoXN2/3olzS61B6/4LAadPG88YnPCTcZR1ROAvV5ly1Hq1WM2XKOHwzuMGgvafb WB51HiF9VLiTz2DQMgyDdRofdKYIdxOit0l4IPCPgqWlVWlph19/fYq7Imr3/5qFgoIShFBISBCe 3zAYtI/QbQ8Mw1y4UNSxYwcXsR7pmM0Wh8Oh13uXlVX16OEvk1GFhaWBgf4SB4nu3bu5mG5qai4s LGOLsPj5+UCVms2WiorqXr2C8bIK5N9qteE4IvnEm0K1Wi/p5W1qajYazbCU279/GDcCwzBQ9suX r+h03u4uZeH03forFwoKSpqamqWUi9tebbGLqa6u0em8EUJtL4tb/iMR3EYwN871eZvN9t13+yIi +oWHh92fDdIEAkB0RB8wREdUSn4eTx1Rt7if2p7uQvQ2CQ8zREeU6IgSHdGHSEeUfaWweHuh+6jt yfYN6X0ZQ/Q2CQ8zREeU6IgSHdGHRUdUoVBMmBB96dKVhISpDQ03xNsL/dY37qm2J/aNwEB/iX2Z 6G0SHhWIjijRESU6ogg9HDqiVqt9+fJP4SyaSx3u3Jnep0/IwYOZXL1NGLbvqbYn9g12/0IIZWae OHEiPyQkiLcvQxyit0l4yCE6okRHlOiIIvTgdETZfmi12pqammFkYrcXQmju3JcVCgW7vRBCs2ZN d2tCwi1tT17fcGmvSZPGOJ1Os7mety8jordJeBQgOqL8EB1RoiN6f3RE5XLZpEljvvhiq/g5SN79 XwzjlMvd8Gp3tT15fcMlQW5/xH2Z6G0SHgmIjijRESU6og9SR5RhmPLy6h49/LRaL4qiQkOD4BWT 3V52uwN0RNVqD5OpDlfXgQOZgwb1FZ8JZ+OWtievb7jobYK2Z9++vXj7MtHbJDwSEB1RoiNKdEQf sI5oYKD//v1HYdDV6bymT48NDw/jtpdO5+Xih/HxMYGB7tWDdG3P4GAe3+C219Sp49jthW73ZaK3 SXhUIDqiREeU6Ig+SB1Rq9WWkLD4/ffnwwq30Wj+29/+sW7dCig1r7bnXfdDXh8T8g3pfZnobRLu M0RHFCGiIyqQplA40REVyu19S0Eul7344gtfffUtlIuiqOjooTApet/8kDdBId+Q3peJ3ibhkYDo iD7WEB3RBw67XAghpZIOCwt5GLQ0HyHfaAVEs5SAeeR1RHnz8DBkQyJER7RF7rWOqFtILy/iaHvi v8URoB5KS++cfbTZ7DabXamkq6tr2FuccJ2zwyEPLu3Frts2apZyfUMKd0WXtS0QzVKCW8jf/stc dYeOTudNu+POjriPPlofFTX0Lm5AcAuj0XzxYrGPT+cHYv0+09BwY/PmVKfTKX2nnws7dx4oL6/u 0kX/3nv/HD36WYfDuWjR6iFDBrp74Tjmp58KFy5cWV/fcPFiCfzr2tUAzXH+fOGePUdCQgLx6xHk Pzk5vV07pbiMwM6dBzZs2H71qunixZKKimqDQafVeonEZ+dn27bdw4c/LRTBZDJD2T/6aL3BoOva 1eBOcd3gth7m8YsXi6ura4KCuqtU7UXir1r1hcGgM5nMkH+TyZyQsMRkqi8sLIWKVSjkgYH+s2a9 W15eXVxccfFiSWXlJavV1qNHtxUr1mZnny4vv3TxYsl//1teXf1zSEhgZeXl777bf+bMBfhzyENJ SQW7vdh16+Ibd2Wepri4wmy2dOzYIScnz9e3i8tJCavVtnPngdra+lb7cxuBNjp/vmjAgD4yGcXb v+Ryua9vl9Wr192tOiE8JFy5cu3ixZIRI4a0GFMhV8kout5Uff1G46OtI8rVVHQ6GYZh8BEubAty y93CIF1H9B5BdEQfuI6odFJS0q1W29///rZSSefm5q9bt3XOnBki8yVcbc/OnfUrVy5gV6DVauvQ QfW3v70JO32Mxtq33np/+PCnKYqaNSt+wIA+EGfmzHdiYkbk5uZ37fqHxYsT4W8XLFgJn9fs9tq8 OTU3N79nz+5IQLO0LTidTE7OaaeTUak81q/fPnBgX5dRxGg0f/99zoYNK3Hp4Afx/gU+T1EUxBd/ bgj1ZYBolhLc5RHWEWXrHGJb5eVVhw9nxcZGbdyYXFRUBraampo3bUqZOHHMoUOZmZknWqEjeo/W D4iO6APXEYXzjuyXBjjPyhs5L+/C5Mlj4MHdv3/Y2rVbrFarSOJcbU84ValUKvC5WwjHk5z43Cr8 7HK+U8gQbi8ok1KphJ+4mqVtpLy8asuWXXK5/PDhrDNnLmzZsgs03oDa2rrk5P0zZ0520UdFLfWv nJy8q1dNffs+kZT0TW1tnchzQ6gvQxyiWUpoBY+wjihb5xDbCgsLkclkCQmL33tvXkLCVLAVFzcq JCTopZfmvfPOGx9/vLQVOqL3aKGR6Ig+cB1ROO/IvogKzrO6mw4vXG3P0tKqhQtXUhSFz90ihGpr 65Yv/9cvvzQ6HI7Q0GA4Ywfn6miaNplqg4O7w/lOIUPQXoWFpUFB/iNGDJk4cTSES/QN6QQG+sfE jKRpOjJy4MqVSTExI9m/TUr6ZtiwCHjjEXlucPtXRET4woWrvv8+Z/78BI2mo8hzg7cvL148B+IQ zVJCK3iEdUR5tT0pilKpPOLioiEPffv2QghRFKXTeQ0Y0CcqKlIul/fqFdTY2OSWjmib6lgUoiP6 YHVE9Xrvf/7zr2zBoHu6XSI0NGj9+hUwN4g/znQ671WrFpWXV586dW769NjOnfUIIZqm3313rk7n nZy8f/z4EaGhwSLzASNGPLNs2V+2bdttMOiio4e2a6e8R/k3meqKiyscDqfNZquqqikuLscDbXFx Rbt2ym7dukI+hZ4bvP1LqaRpWjFz5mSYyB00qG/Hjh3M5nqub/D2ZYhANEsJreP3oyPK1vbEOpxs Q/gcnp+fj5+fj/jQIq4jeq8hOqJs7qmOaGNj07/+9XV9/Z1vwUGD+grNktG0Aq/X2u321lURTdPc P1QqFZGRA2lasWVL6syZk2FnqUIhDwrynzhx9J49R9q1ayeyWw1e/qZNG79t2579+49OmBB9j+bw 5XI5dEOapkGPFMIrKi6lpR2KjY1m7yfgfW7cVsPg6V9YgnXChGiEED6kwcWlLyOiWUpoA4+wjmjb tT2l64jeO4iO6IPVEaVpeuTISLZWtcjs96uvTk5LO+Tp2VGn80pPP4bXn6TDWhdECCG1WsXe/zVo UD+FQrFu3bYFC2bhQLj78Msvd8yf/7qLjij0L5x5tVo1fXrMN9/sSk//AWvt3l20Ws3w4f/PZrMP H/50QUHJ4MH9EEIMw1y6dOXmTSt8yWF4nxvSbblolrLXO7kQzVJCq3mEdUSFtD1ddDgBrjamWzqi 9wiiI/rAdUSFziDyEhTkHxsbBXmIj4+BnZzSbVEURVHUokWrcMjIkZFTpozF/iaTUQEBPjCzwm53 P7+unTp1UCgUXB3RsLCQ0tJK3F4qlYePT+d7uvt/3LgRNptNpfIAPVKEUG1t/fnzRYmJL7GjCT03 EEK8/Yvr57y+gfj6MtEsJbSF35uOKPyti+g2O4cugdJ1RO8RREf0YdARdQsob+s0PNl1hW6XV+DQ EU//QgI+z05ByP/vKS46vexw6Tq9XD8X8g1uCkSzlICIjij7b3kfAbydRLqO6D2C6Ig+DDqibtGW eQIpdQVxePsXEvB5dgpC/n9PEaoTt3R6uYFCvsFNgWiWElrN701HlOAWj5BW5O9VR5TwkNPY2MS7 oYnwu+F3qCPadtqu7YlpUVOR6Ii2yEOlI4rc0cl00RFFv61blcojJCTIpb3YGpgFBSX4aKZ0HVHe cGyLrWVKUVRYWIiL3bbXoUv9gH+yfYNbLpc4UG8QzvUZ3nKx0xQKF6lDlyKw85OTc8ZorIX18lbX CeFhhn8U/Oqrb2NiotwdAu8WRqO5svLSwIF9H4h1hFBDw43duzN69/5j20fBgoKStLTD+OzdvbCV nv6DTEaNHDlkxYq169atQAitXr3uww8Xt/qNpKCgZOHCVezxZuLEUZBaSUnFvn3f63Te+BkH+T97 9mJc3Kjp02PF85mWdig4uDtCSKvVxMZGu2wpFMmPeB2aTGYo+xdfbJ04cUz//r2lJNs6rFbbunXb jMbaVasWtRgZ8sMwTsi/1WrbtevQ+fNF8FsPj/bR0UP79w9jtxcuy6lT544dO3Hjxi8IIYVCnp9/ MT5+fE3NtdTUg/X1DZCCr2/n+PjYiopqbntpNJ24tiIi+qWkpJ858x/YVgobcUeOHCKXy6XXYXFx BUIoIMD3xIn8p58e4DL3A2XEG1iMRvO33+5FCMXHx8I0Q3b2aW65wIex/0AeunXr8u23ey9fvgqB 4DMBAb68dbhkyUe+vp3xQOXv7/PHPwZmZ+dJrEP2FAjkOSKiH7TIiBHPLFy4KjQ0+J76FeEB8gjr iLqlPcjWpZTLFaA1KqRLKaTt2Qpb6LYGphBER/QR0hG9edP6739/e/WqiZF2nsZFR9RiaTh06MeN Gz+CCjlz5j87d6b37x/m0l5QdXv3fj958hjQEXU4HDk5eTRNu+iInjp1DnbKcNvLaKzltbV37/d4 V5HRaF6wYOXw4U/L5XKJdeiWjmh9fUNy8v7w8N5yufyrr76Fc5DsclmttlmzlsTEjGAYxuG4UwMO h5NhnNXVNZcvX8XlgtHXpQ7NZktJSQVCiK3FiuG15VKH7777UUVFNXsUrKi49PPPRvwWTlFUbGzU oUOZgYF+D+rDgHBPeYR1RKVrD7roUo4YMeTSpZ9nzZrGq0vJqz3YaluggSkE0RF9tHREd+484OfX deDAJ1NSDkhJnKMjeuccpF6vDQ0NxPqi4sjlcjgF5AI8qaura/jai98WPnOp0XjiekOS61C6jqjd bt+8eWd4eNgzzzzldDI0rfj2231vvDENn1tVq1UeHh5LlsyReOYSZg5YxwcRQkir1Wi1/cDn8SQn PhfIawufuYS6cilvaWllVtZJl3OEUjRjCY8uj7COqHTtQbd0KXm1B9toS7D2iY7oI6UjChKa588X SkzcRUcUn5GVyajx40cGBweEhATdFR0cbnvx2pLJKHyGLzp6aGhoUFhYCKQgsQ6l64gqFIpXXpnk 6dkRISSTUf37h/n7+9I0jc+SDhgQ9swzT/XqJaYMJx3QYoXzzfhcIK8tfObS39933Ljnu3fvhudR 4VmXmPjSg7pUjvBAeIR1RIW0B8VtSdGl5GoP3k9bQnXYRoiOKC9u6Yi2+spGgKKoyMiBERH97Hb7 11+n5Of/B9a02pImwG0vXluDB4cHBQVAeXfvPrx//1G8LijRkHQdUYQQe/4QBMQRQl5ensuW/cXp ZE6dOrdr1yFYq2t7DYAWK2QGeyyvLbVa9ac/vepwOKqrr3z11bdduhjwuuDJk+eCgvz9/clR+scL njM6crkMH8sFxHVEnU7nPdURZcdBHB1RtvYgd4MJr61Wv3veN1v3U0f0ypVrCxasXLBg5ZUr13D+ 4ZwW/GtFsuI6okolPXhw+NWrpodER3TNmg1Ll67B//bsOXK3Eufa2rJll0xGqVQec+bMGDt2uPTR HXdANrgeuO3Fa8vhcG7YsKOxsVmppCdPfmH27Onbtu12WdAVxy0dUV5SUw9euXJNqaSfeeap//3f v2RlncRy2OI4HA7ucqzTyeD8K5UKqAHcd3ht5ebmnzp1Tqmkg4L8V65cePnyVfDD3Nz8M2cuTJsW w33XabVmLOGR4BHWEeVFqaTFbfHqUlqtdq3Wy2K5AR8lErU93bIlBNERfYR0RC2W61arFbeXu9qY jY3NOTmnn3vu/4HPNzY2d+igQgJ6tuz2stsdu3YdevHFsS46ogcOZLqs4wIajSevLYfDUVBQUlNz FZa42HcZSsQtHVFeiovL1WpV+/btEMsPefVRYV8YDszLu6BQKPr27cV9bkybFoP4fJ7XVk3NVZOp LjDQj23LarUVF5cbDDre1v/665Tx40e6qxlLeFTgV1Bbu3ZL5876sWOfx7dlcvUAN21K6d37j6Aj Wl/fsHnzzldembRnz5H6+gaTyVxVVYMQAq1FmlakpKTv3fs9JA7rLgzDHD9+euPGZLaOKByuYhgG 4oOOKJb+KygomT//gz/96ZVRo4bhfD777GD2Tg38t0K2dDrvQYP6nj178cMPF+NyKZX0pEljysur 33hjGsMwK1asBe1Bg0GL1xhaZ+vZZwfX1Fx1kVjE2Gw2rq39+4/K5XKRMopjtdoWLlyJn6ro9lrR jRuNa9ZsgHYBHdH+/cOuXjV99tmm6uorEBN0RCsrL2dmnuDmubCwFHRElUq6T59QWH8ymeqWLfsE dET9/X3AN+rrG9i2cLk2bkyGCdVhwyKmTh2nVqtc6hDCVSoP3jrE7TVp0pjt23d/9tmy+6ygtmHD jqyskwzDNDTc0Gg6sbUxpSDk8+z+hX3epQ6hvWw2e1LSlry8C5Ag9K/S0solSz6CARVISJg6ZMhA 6bbcqgSr1QY6orW19XivwHff7ZsyZSz0X3Gkl8vlucH1DVyuTp06Svd5XltlZVUnT56bNGk090PQ bLb8619fv/jiC9L7IOFB0ToFtUdeR1S69iC2df58Ia4pXC6FQuFw2PEhEK72YOtswWY5EUk2oiP6 COmIsjU8cd7cTaQtdYgEdERdVo55w8VttREhHVFepJdL+nNDus8L2RLy+RMnzjIMM2hQv/uzSEFo C4+pjmgr/pai7igxssslk9HssrjQOltCqYn8luiIcm09JDqivBqe7tKWOhTKg1A/km6rjbiVpvRy SX9uuKUj2qIWK5uIiH684YTfDXdZNhrriMK0SYt76h6IRp/0c1q/e4iOKIFAeMy5y6MgrC0zDHP4 8I/Xr//i8kHJRbpGH68eIA7n6lJytTRBkxC0E/Gt9FywhqFQOq3jbqXDhq05iSToW/LWFbwUY93F u5ifu46QjmiLupRsqqtrTKY6rJ9JIBAec9o6vcOLyWROSzscGxvVYswRI545f76osLBMPFp29unU 1EPJyenJyem7dh3aunU37K5mhe8HgSUgK+vUwoUr2UehjUbztm1pycnp+/cfPXo0x2V1h80XX2zF +bFabatXr2Onw+XEibNms8UlsLi4gp0fKem0AtB+xNvlCwpKvvxyh1Bku92emXli7dot69dvZ4ef Pn1+69bdy5Z90vbjBy75aSMudQgYjeZTp86xQ3h9Iz39h4yMLN5kT58+n5GRxXvwoEVbBALh9wf/ t6DdbmcYxmWuH/QeW3yDdjic27fviY4e6uHR3jx4D/wAACAASURBVOVv4WesFYkka/QdPJgZGxsF eoBNTc1z5/4tJmbE+fNFZ85ceOONaQaDtri4IjX1YHz8eF/fridPnj116tzNm1Ysi9XY2PTtt3uf fLLXm2++2tjYtHlz6r59R11kLzA2m/3rr5P9/bt6eXnu3p1RXl4N6bCX2WEPN2hdpqYehLzhclmt NtBaDAjwxUv6drvd6XTe1vK/s47CXefHmqW4LURWFl22ReCtBFzdV9Cpyct7Mjk5nf0ncXGjhgx5 Ct/oDfC2l91upygKwoW2Kogc8Ic0QcfVRQ+Wa4u3Dnk1ZkErMjw8DE61vvEGjy4l64pax9ixz/Pq 08LPLerZimuxopZ0X3ltIb72gjRlMgrqnHy5Egj3CP7Ha1LS1pyc059/vpx9RCYj4/hnn21as+Zd 8R3DDocjL+/Cxx+Px88CXq1I3KulaPRhrb/Gxqbk5PTY2Ci9Xnvw4I9Y77Rnz+719Q1Go9lqtR0/ fmrGjLhz5wrwn9M03b17t//857+hoYEWy43Gxqbevf8oZIuiqCee6Llu3bawsJCamp/x5u/t2/fi zwvQ9gRdzVOnfiotrVKrPSIjByUkTLVYri9b9snp0+fbt2937FhucHDAkiVz4K/OnLmQmnoQtDFB i5VXbzMj47jD4cBnIjds2DFsWIR4nVss10GqCuDVfRX5cy45OXkbNtz6rIT2amxs+vTTjf369U5J SUe3dV+9vDyxLYVC8cILz4mkmZFx/OuvUwwG7Zgxz6WkpEdHDwV9VK6tpqZmbh1SFCWkMcswCHRH b960QmVi4IzjgQPHBg3qGxoaBLbsdvtnny3Dvg3tKEXPlre9KIri+gbvQMgwDFc7l12H7PZKStp6 8uTZgADfgQP7pqUdxrbcakcCgdAi/KOgw+FQKBQunyDwjdIKGxcuFLG1IjMzT5w4kc+rDiwEvptt 27Y93bp1GT78aaHHQWCgf0LCNJdVRqWSfu65/7d27Za33npfq/WKjh7ao4efkC2KogICfCsrL1dU XOrRw//Mmf9AeFxcdHR0JPwM2p5hYSGrVi1ctuzTmJioJ58MUSqVCCFPz46LF8/ZsWMPTdMTJ46i KIqmaavVVltbd/Lkufffn69QyLEWK6/eJhz+xWtslZWXW9Tt/Ne/vsaftkK6r259TEREhIPuAbqj 7Tlw376jPj6doR3z8y+uW7d1/vwEbMtqta9du0Vk1tdoNA8bFjF06KANG3YsX/72Z59tAn1Urq24 uFHcOkQICWnMmkzmjIys5cvfrq6uWbkyCVssKCgpLCzdu/fIlCnjAgP9oVw9evi//fbf2cfkQR8V foZyLV48h9cWb3sZDFqub/DqvppMdVzt3EmTRvO21+XLP7/yyiSHw3Hy5Nn335+PbUlvRAKBIAX+ UfDNN191OBwuz80xY54bOTJSfN8/Ly5akZMmjYGLZtwC7i3TajXisocURWk0nVzm5axWW1ra4cBA /3nzXrNYrm/alKLRdOKqnWH0eu+YmJH79n3/xhvT4NMHIXT+fBFepiouLrdabaCrqVarvLw64dJR FGUwaGETP/s0m07nnZAwrWvXP8B/4cVfSG8Tse6Zk1I5v/zShIsspPvqFpWVl3Nz8+Hn2/qoKDQ0 KD4+Bt4wdDqv+vrrDIMslut6vTeU9E9/ennBgpUiyarVKr3e22yuh62ekGeuLaE6FNKYVSppvV77 ww85ly9ftVhu3RuXnX26uvqKt7fn+vUraVoBPqNU0gaD1mWq32Sqy8g4DrOy1dU1FssNIVu8WqyI zzcEKoBHO9fpZNh1iG77BkLIy6sTQqixsdlg0GJbBALh7sL/bccwTu63FgxdUrb/KZW03S64/cTp dLK/KaVo9N28af3yyx1KJT1hQjQeAtl6pw6HA4t8crFYrh85cnzMmOfgITh0aMTevS1oRfbs2WPc uBHYVm5uPn5S8+oZCoW76Bxyf8urt4kQslrtDodDyusClJ19i6GQ7qtEQBMSfmaY35wTF38Hcjm2 3EZb7GR5tS7xAptG02nWrOkIUbGxUR988A7UoVwuhwgu/uZCY2PT9u278bh186aV18NFtvyI+4bV ahP6WyHtXAKBcD+5++uCCoVi9uyXNm5MXrDg1tVlWBcUIoAe4MiRQ+C/UjT6/v3vb9u1Uw4dOshk AoEbSq/3HjkyMjl5f1bWyZCQQKxLibUuGYaBqUW4R23ixNFfffXdpEmjLZYb3PvDuLDvLUMI1dRc 9fBoD5KheXkXKivvfF1hvUd2ubAuIlvnkAuv3qZa7fHzz8bk5P1Dh0Z89dV3oHMokE1KrfbIyDju 69slO/t0jx5+IKPFq/uKBDRLLZbrsJ5qNJrhM+XGjV/q6hpefXUSQqiq6srmzanPPPOUUEVhDUy7 3bFhw3b8HSMMxdauFLHlUodCGrNQ/35+XWFOMiQkEMoVEdF34MC+JSWVc+f+Da9BNjY21ddfB98A 3dfGxubCwtK//vXPoFmamZmLd2kJ2XLRYhXxDbvdDh/Ht2ekKV4NTF4dUZwHtjQagUC46wiuC7Lv b8OBly793OIalUxGBQT43LjRWF19Ba7pCgsL6d+/DO9CBD1A+NlsthiN5mefHSy+7G+12rKyTsJl sOi2lqnBoI2Pj1mzZgPsH4mPH69SeYDWpd1ub2i4sWrVFwihhISpkZGDXnhheEpK+ltvvX9bO1Hw /jB/fx/2smJoaBBN0/hOMsj/tGnjcBx8hxm7XDg+6BzidOC3FEUFBwfIZBT+W8TS2xw3bsSXX+6I jBwYHt57584DPXr44UvgXIA75MrLq19+Oe7nn42HDv2YmPiSUknjO+QQS/fVZrMlJX0DmqWLFq3G +qjJyelZWSevX7+xaNEqqCt2e4WEBL78cpzBoMV5BtMqlUdAgC/bllJJT5w4WiaTCc0WaLUauVwO +aFpGuo5NDSIa0uoDhHLl6Ad2ffVsesQbPXqFRwaGjR4cL+UlANlZVVBQQE5OWe2bEkF3wDdV3wP H2iWxsRE1dRclWgrMfElvd5bxDfwxzHUCdsWuq2B6dJeOp33vHkz2fUDZ1vZ/kMgEO4i/Dqiv/56 87XXFvzzn39lL4owDDN//oqpU8fCiQVxSkurLl4sHj9+BP5bXj1AiRp9IvqNeEM578Z9xKdJKD4B y6uPys6DTEZRlMwljkse2PGxniH7t1h3UVyz1EVTlBecMlvLsY26lOz2omkF5MFFK5Jtl6vFykVI H5XXFm8d4nRc2lG6Fqu7uq9SbCEJvsHOv0RtTyE/JBAIQtxNHdEDB46NGjXMRafx9Omf/P27iqiu sAkK8md/bwnpAUrU6BPRb+Q+GtzVJuXa4k3frTxw47vEwUOFuGapi6aouHX28NNGXUqXuoI8uKTJ axdrsXIR0kfltSU9b7zlkmgLI6T7KsWWUD6F4kvU9hTyQwKBcHfh71rh4b3xTjZMQEC3wMCAh1Zn kkAgEAgEd+EfBXm1KMlZJQKBQCD8ziAbtQkEAoHw+MI/CrIPnGEcDoeISiSBQCAQCI8c/KNgUtLW 6dPn3T6cd4uMjOMxMa8XFJTcl4wRCAQCgXDP4R8F766OKIFAIBAIDyf3Q0eUQCAQCISHk3uiI0og EAgEwiMBWRckEAgEwuOL4Lpgq3VECQQCgUB4VOAfBWfPnh4aGuQSCOuC9z5LBAKBQCDcJ/hHwbbr iBIIBAKB8PBDdEQJBAKB8PjywHREGYYpK6vq0cOfu+m0qam5sLCsW7cuD5VyaXV1DVzbixDy8/Mx GLSQT4a5dQ26VuvVvXs3kXIRCAQC4WHjgR3+M5nMK1asXbduBfeimdraup0702Njox6eUbC4uCI1 9WB9fQP819e3c3x8bEVF9cKFq/r3D4NArVYTGxut0XQUKheBQCAQHjb4R0G73c4wjMudZw6Hw+Fw 3sWHu5AqaefOhmXL3qJphVBk3itPaVpBUZTTyTAM3LHKIITkcjnc0+Z0MnDBNxK4XpWi+O/kA3Jz 87t2/cPixYnw31OnzsGtqv37h+EbHTdvTs3NzR81aihRWyUQCIRHBf5RMClpa07O6c8/X67X3/ka y8g4/tlnm9asebdXr+B7lyGL5fqyZZ9UVdXMnDn5hReGQ2Btbd26dduKisoQQgqFYubMyUOGPNXU 1Lxjx97MzBMQZ9y45ydNGlNUVLp//1Fvbw2EDxgQlpg4g6YV+fkXkpK+gfHJ399n/vwELy/P0tLK zz/fUltbhxDSaDrNmzczKChASiYHDuyLEKqurmlqajYaa28HM0ql8m7WBYFAIBDuMfyj4APUEfX0 7Lh48ZwdO/aYzRYcmJT0zdChEQkJUxFCVqt95870Pn1CDh7MpGnFxx8vhTj/+Me/Q0ICrVbb9u17 V6x4B8JTUw/t3XskMnLQ1q1py5e/rVQqEEJFRWUHD2ZOmjT6k082zp49Xa/3RgiZTHWff77lww8X i3/s4rVAeBXIzs5766334VfDhkVMnDi6sbHpntQLgUAgEO4BD52OKEVRBoPW5ZDGL780qdUeBoMO /jt37ssKhcJqteXmnkXo1iaU4uJy+NQbMeKZqKhIuVyOEFKpPBobm5VKWq/X/vBDDsgAGAzauLhR DIOMRvOPP55Uq1UIIYulobq6psXswZrlqVM/ffjhErD1wQfvwK9gopWMggQCgfAI8UjqiLqI2gBx caPgLCNFUTAEYjSaTv/zP1PweFlaWrl//1H022sUNRrPmTMnuyxGcvHz81m5cmH//mGwNZSiKKWS hn9S3g/IHY0EAoHwUPEg1wVtNpvRaIZZSoSQWq1Sq1UMw5hMdY2NTfBbvd6boigvr061tfWwAme3 O3btOvTii2PVao8nnwwdNWoo/LlG46lU0rzfcxbL9R079kycOAZsFRaW/fjjibFjn/fz83n++Wdg RhQhCmzxZlWt9jCZ6vASoFrtQVEU72AsVC74+f6srRIIBAJBIoLrgvdaR5SiKIqiFi1ahUNGjoyc MWNCbW398uWfGo1mu91eWXn5vffmaTSdZs2avmbNhq1b0xBCSiWdmPiSTuc1btyIpKQteFkuIWFq ZOQglcqDfdhRq9XI5XJPz47h4WFLl66BbaIhIYGJiS8plfTcuTM++WSjxXIdIaTXe4Mt3ty62IqP jwkLCyktreQerBQqF/xM7mgkEAiEhwqqpqrI0LmrzXb9V+udGyR+/fXma68t+Oc//4qX4hBCDMPM n79i6tSxAwb0uSu2bTYbe5zFBxjY4byHIhQKBUzMOhxOOLGAEJLLZTARarfb8eQknJmAcN6zFry2 eGnRVovlgvzYbHacfwKBQCDcLfLyzicnp+PTayK0V2oVMo/yguxLNdf4vwXvj46o0Pk83nDeVTe5 XAbHAYVistcIeQc5kTOC7tqSkiasI0q0SCAQCIR7DdERJRAIBMLjywPTESUQCAQC4YFDdmoQCAQC 4fGFjIIEAoFAeHwhoyCBQCAQHl/IKEggEAiExxcyChIIBALh8YWMggQCgUB4fCGjIIFAIBAeX8go SCAQCITHFzIKEggEAuHxhYyCBAKBQHh8ERwFTaY6ofvz7g8Wy/UHm4HGxiZyIy6BwOWB900CwzBw JZwLD/y5/SjCryNaWlqVlnb49denwH17DMNcuFBktdr8/HzariZqNlscDod4Omaz5auvvp0wIToo KKCN5lpHU1Pztm17QkJ6REYOeiAZkI7ZbKmoqO7VK1il8njQeXkwgH927Nihe/duItGampqNRjNX I7epqbmwsIxhnG2pw8LC0sBA/xs3GrFvQ7vAb7Var+7du+F+BIEqlUdISJBMRrHDKYoKCwsBIfuC ghJ8nSfOW3V1jdF46xI06I8u5YL+pdd786bJa4udJtsWb7kQQrt3Z2i1mqiooS1ekILzBulw4wuF PyTcFd9oex64dVhbW79p087Y2KigIH8c02azfffdvoiIfuHhYeTuNunI3/7LXHWHjk7nTbvjzvW5 H320PipqKK7fhoYbmzenJient2un7NMntI0md+48UF5eLZ7Ozp0HOnRQDR06WOjy93vNTz8V5ubm v/zyxNZdiltcXGE2W7Rar7ueMS7nzxfu2XMkJCRQ6IrgB4LVasvJyfP17XIfbhUG/3Q6naGhQSLR fvqpcNu23cOHP+0S/vPPxi1bUjdvTu3Xr3fXroZWZMBqtS1atHrIkIEHD2aCbxuN5h079uTmnr14 seTixZKKimqDQed0OhISlphM9YWFpRcvlvz3v+UeHu26deuC+9fx46d+/fXmU0/1USrp7OzTBw5k nj17EWJWV/8cEhKoVNLff5+zf/8PGzbsaGj4xdf3Dz4+nV3KBf2rSxc9tlVZeclqtfXo0U0mk/Ha ev/9z7OzT5eXX3KxxS0XmAgJCfzww3WRkYPUapV4zUDehgwZCOm4xM/OPp2bm9+nT8hDOwq23Tfa Dm8dqtUeMhmVnLyf7c9yudzXt8vq1etGj34W3yj3WHHlyrWLF0tGjBjSYkyFXCWj6HpT9fUbjTzf grm5+Z0769mv1RpNp7/97c+bN6c6HE52TN57a9nX4dK0AoYxh8MBfwtvvg6H2Dd7RcWln3++Fhsb zX6dkWjL6WQYBu7WZRBCcrkcLgV0Ohm4aB799tpbXhobm7KzT7t4ErYll8sZxgkp4HKxbVmttpyc 004nExDg26ItbrngPnqbzc4tF77gEOJAeHh47/Dw3uzniM1mo2ka8kZRd+47lG4L6gqeg+J1aLPZ 5HIFhGNbdrvdaDSvX7+9f/8wmqZFnnEi5eK1xVsulcpj0aJEl27P64c2m53djmDXz89n5cqFCxas ZBh+92bbEkImoxBiZDIKEq+urrl8+Sq+7XPz5tTc3PxRo4Z27qxfuXIBVAjcCDp4cDjuXwihl1+O gz/Zu/f7yZPHwI3WDocjJycP8hAXN2rIkKfeeut9nA5CKCfnTHb26WeeeQohhPsXttXY2LR1a9ru 3RlxcaN4bVEUNWtWPNiyWm0zZ74TEzMCnrYu5cL1+eKLY/fuPfLKKxPF3ZuiZE6nE6fD/pXD4Thw 4NiECdFgSPy5gX7bvyCOzWbHvgGB0DcZhnHX54Xy75Zv4ECaVtjtdvBVkb6M8yz+jBKqw549e+h0 Z3Nz8wcPDseBnp4dBw3qu2/f93Fxo4QKRXCBx4OLiys0Gs8WZz5ra+vWrdtWVFSGEFIoFDNnTh4y 5CmKorZv35uRkQVxxo17ftKkMTab/ejRnG3bdiOE/P199Hqtl5enSMpmc73ZbOnZs7u4raam5h07 9mZmnmDbKioq3b//qLe3BsIHDAhLTJxB04r8/AtJSd+A2/n7+8yfnyCSh8bGpry8C4mJM9gh2NaA AWEajeegQX0DA/1xubCtpqbmZcs+OX36fPv27Y4dyw0ODliyZI7QM5S3XBkZx69dM12+fBXCcbmO HcudM+dWljIyjjscjhdeGF5eXrVixdq6uoYVK97p1SsYIWS32zds2PHss4MrKy9v375Ho+k0b97M oKAAt2wtW/aJh4fHhAnRP/zwfwEBPkJ12LGj+oMP1g4c+OTOnQesVhu2tX373v37j545c+GNN5Yo FIqFC2cJfaWJl8vFFm+57Hb7Rx+tP3++MCIi/C9/eQ2nzPVDhFBTU/OmTTvZviE0QpeWVn7++Zba 2jqEELYl5DAKhWLJkjl6vXbkyEjxd3CbzWY0mpVKBUKosbG5Q4cWvqUAuVwuPjPfvbvvuXMFTicz ZMhT3N+q1ar+/cOSk9NFnowmU53RWIsQslrtOp0XQpRIueRy+YABYW+9tWfGjDjxnIeGBs6ePR2n g8OtVtvRozkBAd3Aadn9C/E9N9Dt9mpsbHrrrb/bbPbRo58tL69ubv4VfGPhwpUmU92AAWEdOqjP nStw1+fdmnPi9Q22rdGjn62rs7z44ti8vPNcW+XlVYcPZ8XGRm3cmFxUVNbiM0qoDrVajbe3pri4 gj0KSmlrggti73HiJCV9M3RoRELCVISQ1Wr/+98/DQkJNBi0cXHR0dGREOcf//h3SEigzWY/derc xx8vRQgVFZWtWLF26tTxbbG1c2d6nz4hBw9m0rQCksW2rFbb9u17V6x4B8JTUw/t3XskMnLQ1q1p y5e/DU+foqKygwczp01zIw97936PbaWmHqIoFBjof+FCES4XthUXN2rx4jk7duyhaXrixFEURcEQ yF7jQbfXhHjr0Gg0b96c+uGHSyAcyqVQKOrqGoxGM6wDlZVVBQb6I4QCA/1XrVq4fPm/cOIKhWLE iCF/+tN7EyeO+vjjpSZT3eefb/nww8XSbVmtti5d/jB/fsLy5Z/++c+vZmWd4tZhfv7Fdeu2vv12 wokT+U6n8/335ysUcmwrLi46PPyJlSuTVq1apFTSMFXLXicD4AkoUi6IBrYWL57DWy6lkk5MfOnE ibPHjuWyE+f6IUIoOztv9Ohn2b4xceJobnPbbLZPPtk4e/Z0vd4bIcS2xeseMhkFY2SL746lpVUL F668dOlnnc47PPyJxMSXxOOj2/XGXtvjotdr4+Njvv46RaVqzzBOinJvFtpmsyUlfUPTtMlUGxzc PTHxJSi49HIJoVJ5+Pn5IIRc3iGg78yfnwCLbez+hRBKSTlQVlbV0HCD278iIwdarbbVqxd/9tnX o0c/19z8K/ihyVS3aNHs48dP07Ri9uzp7vq89IUeId9g2/rHP74cM+Y5nc6L11ZYWIhMJktIWPze e/MSEqbyPqOwz4vUIeFu0fpR8JdfmtRqD4NBhxCyWm2Njc3wtX7+fFFxcQXEKS4uh1ebxsZmiGkw 6EpKKttiCyE0d+7LCoXCarUhROFAhmHA1ogRz0RF3Xp1Vak8IGO1tfUGgxYeIgaDDs88SIRtC/qt UkkzDHPuXMHBgz9CnJ9+Khw8OJyiKINBq9F4giH4ld1uz8w8UVl5GSfo7+/zxz8G3rjReOzY/0G4 3W6/dOlnqMMZMyb0739rfRvK1adP6IkTZzMysqZPjy0oKLly5drs2dMRQhRFGQw6l3V7jaajXu8d Hx+jUnkolcpevYLlcrlQe3FtQelgWNLrvXEdFhaWHjmSJZPJEULV1TUWyw2EkE7nnZAwrWvXP4Bp eEFWq1UGgxaqAj+4S0oqdu06hDNJ0wqdzrtXr2DecplMdRkZx2E2DNviLRdCyMvLEx5JbHj9kM83 eGAYZDSaf/zxJEzWWSwN1dU1LTqJFEJDg9avX5GefsxkMsfHx0hZyi0pqUhNPZiXd/6779aKjEZe Xp4zZkzYuDG5vPwS++NACjRNv/vuXJ3OOzl5//jxI0JDg+/perzVaissLA0NDcLLhC59edas6RRF 5edfwM8NxGov8CuGQWq1h1rtUV9/a6ukwaCFjqDXe4MfuuXzEmEYZLFc1+u9cca4thgGqVQeUIdc WxRFqVQecXHREN63by9ImP2M0um8cLkI9xqeURBPWLeC3Nz83Nx82BXicDi4e3adTqbFzUvwJssw jFBXFN8KTFGU+KyU08m09LJMyeW35uKBgQOf3L07Y8GClQghLy9P3tmGwYPDuU8fWANQKBS8b/1O J4OzCjM2MHzKZHJuLT3zzFOpqQcLCkq4a5a8wLqCRtMJ3kOF4LXFi1wudzoZ2Ozi5+fz/PO3pqzh 7VUEWM+LiOgXEdGP+1tuuRobm7Zv392pU0co482bVnYOpZRLyA+dTkbibh273W6z3eoFGo3nzJmT abr1r4xsaJqOi4vOyDielnZ42rTx7dopxeNHRPQLD+89c+Y7LutqXHQ679dem7J06RrurxwOJ158 5UWhkAcF+U+cOHrPniPt2rVj7zzkxWq1i68ICuFwOJOStnTt+geYo+aFYZxy+d2pbV5EfN5qtbW4 ls/L2LHD9+07mpycjhDy9e0MX29I+ImH8wAPDZiOdgunk6EoBHPXbFpsa4ILPI09cmTk+vXbCwpK YMIKIcQwjMlU19jYBKsaer03RVFeXp1qa+td1hJqaq56eLQfNWooQigv70JlZQ1CSKmkKYqCmFVV V7Zs2fXKK5NE8hQaGhgY6Jee/sMLLwyHELYtu92xa9ehF18cq1Z74MUMhJBa7UFRlMAASanVHng9 pqrqysWL/xXJg0bTady4EV999R1erzKZzBRFDRsWgRDS67WwK12ppHv27AGFRQip1Sr8bovzJm5L p9P069c7PPwJ+K9erxV5B+/ZsztCzJkzF0pLq3DGrFabxXLdarWZTHX19Q0ii5287SUU+XZ+vFlx qG7dukRFDYU6pGnay8tT9G3pVp3LZBS0F/dzTahcjY3NhYWlf/3rn5VKhcVyIzMzV/ybyWQy19df b2xsMhproQ55/RAhlJOTl5KSDu2IEKNUKpFAHfr5+Tz//DO380yBz4tXFxu2z7NtAXK5fPjwp/ft +/7f//52zpwZ0vsXQshiuW40mq1WG0wju8yRarUa/KqB1yAtlhtZWSdfe20KEujL7LaIjY368ssd 8+e/zl6CcsFut3/xxTczZ05qxd5Os7m+svLytGkxbLsuffnAgcxBg/qK16GXVyduf1erPfBWFOS+ z9vtdnjTxbPfvL6h03mbTHXwJyZTnUbTiaJQdfWVLl30MPh1794Ne3tKSnpwcABMyMMzSsD4b55R UtaMi4pKy8qq33zzVXZgfX3D3r3fQ1sTJMIzChoMWm9vz8LC0qCgAHw2ZfnyT41Gs91ur6y8/N57 8zSaTrNmTV+zZsPWrWkIIVib0eu9x40bkZS05a233kcIDRsWMW3aOJXKIzQ0qH//MggMCQl8+eU4 8WUGlcrDx6dzTc3VpqZmmOLg2tLpvNi2EELx8TFhYSGlpZXsA2FarUYul+v13vHxsUuXroGJ0JCQ wFmz4kUyoFTSoaFBBQWl8KBBCAUHdz906Mft2/dAhOjooRMmRIeFheByIYRGjoycMWMC/IzzJm7L pVxLlswJCgqAPOM4/v4+eMJz1qzpmzbtzRt1qwAAIABJREFUnDdvJt5uU1ZWtXr1uoaG65s2peTn /2fhwlkKhYKiqODgAJc3UN72ErIVEOCrVNLvvTfP07Mjbx2GhgYtXDgLfsCZYdvF8WUyCtpLpMJd ysW2pdN5x8RE1dRcdUkfA2taxcUVDQ03Fi1aDXXI64cIoSlTxl65cg2Hw6Igtw6VSnru3BmffLIR Dibr9d7g8yJFcMHFN8BWU1Mzzj/42LVrtcid/oUQSk5Oz8o6ef36jUWLViUkTI2MHKRSeXB9nqIo iqIWLVqFENLpvOfOnQGfd7y22D7m59e1U6cO4h9DlZU1CFFhYSHSKwRz4MAP06fHurwScftyYKA/ TStE6vDNN1+laRr3d/DDceNG2Gw2HMctn0cI4U2q2Mda9A2dzhv8tnfvP27alJKdnQe2YmOjoqKG IoSio4cdPpy1YcMOdPsZhduIXQPcZ5T4mjHDMCUllQaDVqvVsMMvXChCiAkI8JHaHgSEqJqqIkPn rjbb9V+td47N3rxp3bnzQEzMSPxxY7PZ8FsX70EFhUIBruNwOB0OB0JIJqMoSkZRFJyOYG8Xdjqd 4hN6DMOkpR0OD++Nu7e4LYSQXC6DNO32O3M1cGYCwnnPWoiQnX1aqaQHDuyLENqyZRdCzJQp4+BX S5euefHFsf3792aXy2UiBedN3Ba3XOw8QzpQhzi+yxOKt1wwCdlqW9Lr0CU/LnYhPm4v8XoQKpdS SePfSiwXEvBDu91OUTIcji0K1SHX56XD6xsu+WeXy93+hVryeaH8c8Nb9DEX9uw58sQTPVucNeXF xRY7nFsu6XUo5Iet6F9OJ8OuLom+sXjx6piYqH79noDfJiYu/eijdw8ezEQIxcePv3045065eJ+B 0p9RFsv13bszpk4dx55Rt9vtycnpo0YNE9+E/zsGTh/hE0oitFdqFTKP8oLsSzXX+EdBggvFxRVp aYfMZgv819e385Qp49ouo0MgEH4f5ObmHzr0Y3Pzr/DfPn1CJk9+ITl5v9PJ4Ckiwr2mdaOg4Buf yVSn03k9KOmWh42ePbtPnvyC2VwP/+3e3c9lIoJAIDzODBrUz9OzIxxYoihZaGigUkm3eH70/mCx XPf07Ege5kJI0hF9mCkoKEEIgR7jPTXUvXs3cZnK1iFRA1MErBtZVlbVo4e/TEa1UZsRayfiEKwf y9Usla4xy9XVlJ4fXv1PDMMwUPbLl6/odN7u6j22mL4U4DyolHJx24v3LCnWF3XxDdD8xHHakudW U11do9N5I4TaXm/3VEcU8nl/9D9lMgpvJ8Q8wOkidtml674+nvBvqP3qq28jIwc+qCHQaDSfOnVO Skw4h3fsWO6jK6Pe0HBj9+6Ms2cvtjqF9PQfMjKyTCbzihVr7Xa71WpbvXodr968RAoKShYsWJGc nI7/VVZegl+VlFSkpR1mKy9D/j/44HMs1CKSzw8++Px2mvvxYT4p+fnyyx0iEXDZv/hia2FhmcRk MbW1dSkpB6Tnh0t29unU1EMSy8VtryVLPtq0aSeubezPvL5x+vT5rVt3L1v2ibtnXu8iUM8ttovV asvKOulwOE6cOItXE9hkZ58+ejQHn0iRTnFxhZT2ap0//A4oLv7/7Z17XFTV2sfXnhsygIxyEYWQ AgtSDMVQ81qGl8yARFMxj1leXu2c99RrmnbO6XTejpf07bydPl57szRvgcpFMQk9GcUHNUTDEA8g N8VoZriJgzkze/b7x5PL7d5rb/YwIKDr9/EP3LNmPevyrLX37LWe76r48stMPE5nzZp24MBRV+aE +1uKOKKIxM0jLkdLMfqIPEAiN89qtZWXV6ekHI2KGijgN0J6AffvtddmqVQMPz6GzyxlGAa4lHa7 nWEYfF28LUJQLz5LExIQOYeuS8zAdIpzCNVxODiE7pAe7XY7MbZMnsXK56NGR0eK360TmaXKGbMc x8XHTwJ2ZXFxWVpa1qxZ04KDA+V9A6oOrcHfFnH3Fonf6q5SqQS8RyUKDg6Mi4tNT88WEPoVKi+v 4OzZC4sXz/H39ykpqTh48KukpDgcLiaWuL88PfV/+csfcBQ2FpGPijmi/IvENnTK5yGsDdK36vPQ zphvKSXMkj148KsXX5wsiKZ1hSNK5PSK68WyDo5z8LdZyZRWqg1h6w20jzzPVopZyjAMZp/KjGUp jqjy/sL5nDpV0KePL/6Zrpz7+mBKEUeUyM1LTs4MCuoL7FCzuX7//sNS3DwiD1CKS7lhw7ZTp85d u/bLggVvGQw93333j3hT9aVLZStWrF2yJAnHEQIr0s+v9/r1d+J7+MzSmJgod/ceTz45+KOPdgwZ MiglJRPxGH3S9Qpwd3ffsuULh4OTYZa6fiMkMjCd5RzC2oOXlwds45aK4WuVxYr5qOi3l4RmdDsu EHIQM0ulRLSFEGpsbIJsKyquGAzevr69+f2FSL5hMPQcNWoYtNWaNZuWLn3Zz8+H/zdCyGDoCXVf uHB2295BQZxcauqxhIRJwKkymer4Lxj47SAQf7w8+ujDDQ1NRmOdzF2Q2F/4sR3HjErxUcUitqHF 0kL0+cbG6++9978Q7oZ9fvPm3adPnwsJCYqJiUpNzWrV53E7A+iHKLvd/skn+06dOrd48erz5y+a zQ1hYSF4LCvhiDIMk5ubDzEGqDVOrxT3tbS0cvfuNLO5ns86VtiGLS03P/88JTFx6rFjJ0+ePCXP syX6fG5ufm2tKSpq4ObNX5jN9TJjmeM4IkeUWC9if0G2kE9trYkfMqic+/pgqvXnAilu3pQp44Fb GBIStGNH8jPPPCXFzeNzRFFrbM+lS18eOnRQVlbO6tVLEWIEcWaC7cXAq1y3bgu+wmd7FhQUnT59 bvnyRRZLy+HDJwIDA/D1rVt3L1++SKper766IjLysfffX+5wcMAePHEiV8wsdf2QKWDKCBiYznIO 8bwvf64QkanIrxfmoxYWFn//fT782oC4QHh+FDNLnbKFEEpJOfrDD4UIocGDw2fMmKrXu589e0He N8zmhg0btvXqZXA4uNLSSrgz8f9Gt2PvEEKurFGFhfWPi5sIPsAwaPPmL/ioP347uChxf5nN9X/7 2z91Oi2OGUUSvkEUkWc7dmyM2OdXrVrm7e21atUyeFWAff7q1Z/nz5/Bsuzp0+fef395qz6P21nm Zq/RaJKS4srKKtete3vt2k0JCZP4Y1kJRzQsLGTEiKHgOUiW0yuYo8zmhqysnJCQIJvN9vXXOatW LTMYvLAfqtVqMc+2uLiMyAQODw97+eU/vvXW4g8//JM8z5bo8yNGDF25ct3x47nLly8yGLxkxrLJ VC+eD2fMeI5YL2J/gV9BPqtXv0637ylX66NaiqmIuYVarXbMmJihQyOluHkIITFvU4rtCUxInU4r fkH0+OMD0tI+4b/8BF7l3aXlMHvQ17eXxXLTw0NvsbRERIQBfxLdZvRJ8QA9PPR6vfvChXP69etj t9tHjXrSw8PdarXl5Z3D4AnMpXRdRAamK5xDKRGZikQ+KkIoNnb03//+FnyRd8ILgVlKlBQf9dVX ZyYlJSCEzpw5f/jw8aSkBH5/IRL31d/fd9GiOampWa63gLw4jjt/vigkJBDehr3zzuv8s4QQrx3a Xb6+vdetexs8mW+F6BtiEXm2CCGxzyOEbDZ7Ts5pAHLy+ai9evVEv/F+fbBvuOLzHMedOfNjVVVN dnZOTU3tmTM/jhw5FOYQhRxRhFBl5dW8vAJ+vYicXsFY9vf3HTAgRKPRaLXaxYuT4HQa7PNEnq0U E9jXt9ewYYOBPfv442EWSwtyhtOr02m1Ws2CBTOhDMOHR3l5eRKbS6fT+vn5/OtfufBo5+/vM336 FKl6EfsL2vzkybyQkKB7c7LpfSNFHFEppqJardbr3W/dsrIsi7ertUoKleJtEtme/NVHvPYjk3lI SFDfvv6AQfLy8nzhhWfvVNWZWQyeyDQaDTHWZ/r0KTJPwa5LOdvTRUnxURmGcWU7mQwfFbIdOXLo 0aPfCB7JpSR+g9TuG0NYlk1L+9pqtS1dOk+tVrGsY9u2vVVVdwjaISFBixbNJroQf7ywLKvRtGVn vE6naa/9e/zxJSgwMDzd3Nzg1shxTgwKZ33e4XD06OHWo4ebw8E5HFyPHm54rU4hR7Si4kpq6rGA AH+4gmPq77bCEXfGYZ8RdweRZwtPwFj8NsRc4uDgQH4LKOT08svw4ouT+df5zFKDoedrr83KysqB +1lZWWVLy81p054VZCW/CpOSkol9WPBRm7mvD4IUcUSJTEWzuX7XrkPDhg0ODw+F4FBY+xFz87Ra jZi3aTTWSbE9MT+wsbE5O/u7RYtmw/gRrwuKmYqNjdcbG68DKFKv7wEoBykReYDE3aYeHu5PPBGB q2AweLfXnCVmYLZLtvxtnLCmRWQqEvmoUiIyFYlcSik+Kl4XzM+/AGtCZWWVJFbkHaZiY2Pztm17 YLsy7q/09Ozi4rJ2aSh0e02orq5x7tx46FaGYZ5+eqQgekFqEpk4cWxy8pGcnNPh4aG4Xu1SMKJv iH2eyLMl0plZlq2srFm4cJafX2+7nd26dc/16834U51Oy2dXuujzcCbiyZOn5s170Wg0jxs3HL6u nCNqs9nq65teeWUGQqiq6trOnQfhGGEk4vTOmRPPH8t43lBeWhkmsEK5yCxtbLy+b196YuJUmA+L iy9/++2padOelamXoL8slpbi4rLnn58g7iZXuK8PglrniEoxFY8cOTF2bEx0dCTDMElJ8Tt3Hhg8 OByRuHkCHiDwNmXYnpjBCPzDu7eJ3rUuKGYq9u3r7+HhjoGf589fhPHG508Cd1GKB2i12vhsTJCA cwi2XG58MgNThnOoUH5+vflrpbCmRWQqsiyBjyrgUmIRmaVKGJi4XunpX8O64PjxI5KS4vR6dyJv U693F3NE+f01Y8bUtuG7iLp8ueqXX8xQHrhCjP2Skr+/T1JS/MaN27dv34fr5VQBxP6GJHwDkXye yLNt1ed1Om1i4nMqlUqlYsDHIiLC4LcOZnK66PMwV2i1WmB+wsW2cUQF/GEBp1c8lmHeEIwdYjuD pJjAxLGgnNOLpMevgFnq7e01dGikgCMqXy9Bf+Xmno2JiSLCXV3hvj4IajtHlMge3LnzIJLg5hF5 m1LcPJxe8PBitdpwnojEHszPLzx06Nhf//oGXNy9O1Wn086dm+Asv1H84E/kHLouZzmHzuYJwsxP gS0pPqoUSVI5b5NYL6IPtOobwBFVq9XZ2d/HxDyh17uzLLtw4dsffvgn8eJx29QqOVNJDvzN9O1i XTlHtG3MUo1Gw7J2rVYrxRHtCJ9vM0dUwB8Wc3pd5KNK+SHxW07xbKXGb5uZpcR6SbFJkWvc1+6l 9iSoubnpkpLi+VfEXS549QyOolarHA5O7DRS60xSv9AVplerVYJiPPxwcECAHz5iDa91CcqPS0h8 NpRa/umIU7uIbcV35TYYlRrq4usjRgxJTT2GmysoKOChh/rK5EDsFIVtKNWnSvpao9GwLMuy7Ecf 7YCdHZMnj4O1xnaR60smruSgvL+QhB8S21CJz6tUWiQxlqVsuSipDJXUSzAuBOkVzlFSkvJD4rec mjekLIrTKxxfxHrJnKsaFxcrVQYqJLNHtG0c0U7n5vn4GGbNegHvfPP39+nQbSzdXd2Ijwpn8vn7 +3AchzmNnV0oKiqqTlN78VHbmSN677l5Yo6ov79PNzrtodM5omI+apfliOp02ujoSHECyhG9x+ou HFEqGSkfy8p9+x6oI/iolCPayaIcUSXloRxRLMoRpWoXKRzLMMdu2rRr27a9nVHMu9RBfFTKEaUc UcoRpRzRTuaIOjVvENmexHohkh+6zvYkckSVzxsQ44jDTOXnQ6KUHCnMt8VxDjzGsS2FYxkYRvn5 TyQnZwrKoHA+7Pp8VMoRpRxRyhGlHNFO5ohK+TyRIypme0qN5Y5ge0pxRJXPG+XlVVlZOQkJk3bs SL506bLMfCjlchCTA03HHwswH/JtXbpUduTIid69DXiML106T6fTKh/LUhLb6r58VMoRpRxRyhFF iHJEO5UjKuXzRI6omO0pGMuYt6mc7RkWFiJeC0cI8ecoeY6o8nkjMjJcpVItWrTq3Xf/uGjRbPn5 kLhmzHEcjueurKzBXJjp0ydPnjyWb8tqte3dm7FmzVt4jGdkZCcmPqd8LEtJbKv78lEpR5RyRClH FCHKEe1UjiiS8HkiR1TM9mQYJirq8fz8QiitTqdNSorXaDREPySyPc3m+gMHMvlvAhMTp4SEBBUX l2Vn56hUaoRQdXVNY2MzkuCISs0bfD4q1IthGL3effr0yVDfqKjHkQRHFNbkoPyg/v0DH3ss9NVX X1q8eNWYMTH+/j6ffro/Pn4S/GosLLyEl6Vxf8XGjoa2QnfGlxNjWUpEW2J1Cz4q5YiSRTmilCNK OaJ8dTRHVDxvyHBExWzPxMTnvvrqJHSE1Wo9cODo/PmJUn6ISGzPtWtXCqpgNJrVarXDwcGUExwc +OyzD+NPBRzR2yH8cvMGX3iM484Sc0SnT5+ydOnLpG//th726KOP4D0ceXkFeXkFcJ9gWRa/KZGJ I2yzpGyBuh0flXJEKUeUckQpRxShTuWIItK80dx8Q4ojKpDdbt+zJ+3pp0fCS1eTqX7Llt0cx0n5 oWIxDz3Ud9KkcTBHyawNS0nAR4V6EVMSOaL4qVQgtVo9bNjgP/95I8chf39feItQU1Pr7t4D+is/ /0JlZQ3xuyDlYxmR/FDGVnfko1KOKOWIUo4o5Yh2MkcUtTZv8DmiYv/UaDSTJo0Vj2WiHyLFY0ow R+G1YSJHFJH6UcxHBZinYIwjCY5oq2UrL6/Gr7v4tsaPHzFnzgtQR35bYbvKxzLRD6Vsoe7JR6Uc UcoRpRxRyhHtZI6oknmDzxGVYnsq8UOpMkhJyueJHFGF84YU81NqPpSSwCK2pVIxDKOCOvLT8O26 MpalbPHTdwoflXJEEaIcUYk8pa5TjqhUae9lDpQjqnDe4C/yiTNpF7anWK74PJLuL+K07uybPYFF oi1+Gr7djqiXVPouzkelHNEHWpQjStUVdO/njbbNb1T3pbo9R5RYhq5QDIWiHNFW1dEcUaekvL5I xNvE38UJoB34MWEMw0RGhut0WuCF4pS4zfnXoQyC/uK3rdg32qcVZNUGLmv7DljsD1IsVpvN9uWX h0eMGDJ0aGRnsVipuo7U//XG6x6eXg7HLTt7Z0fchg3bJk0a11nnURmNdUVFJYGBAZ1i/R6rqal5 586DDodDPuZdRgcOHC0vr+7b1+/dd//x3HNPs6zj7bfXjxkT4+xh2Vg//li8cuXahoamoqJS+Nev nz90R2FhcXp6dnh4KH48gvInJ2e6uenkMQIHDhzdvn1vba2pqKi0oqLa399XYfTPjz8W79mTNmHC KKkEJlMd1H3Dhm3+/r79+vk7U10nxHFcSkpmVtZ3RUUl1dU1YWEP6/U9ZNKvW7fF39/XZKqD8ptM dYsWrTaZGoqLy6BhNRp1aGj/JUveKS+vLimpKCoqray8YrXaHnnkoTVrNn3//Q/l5VeKikr//e/y 6uqfw8NDKyuvfvnlkbNnL8DXoQylpRX8/uK3rcA32uX3VklJRV1do5eXZ25uflBQX0HkktVqO3Dg qNnc0GZ/dlHQR4WFl4YNG6xSMcTxpVarg4L6rl+/tb3ahKqL6Nq1X4qKSmNjx7SaUqPWqxhtg6n6 erOle3NElTP6lLMHpXiAHSTKEe10jqhyQdzSf//3f+l02ry8gq1bdy9bNk/mfYmYtxkQ4Ld27QrB xgE+R9RoNL/55vsTJoxiGGbJkqRhwwZDmgUL3oqPj83LK+jXr8+qVUvhuytWrIWf1/z+2rnzYF5e AYSEi33DRTkcXG7uDw4Hp9e7b9u2NyYmSnAXMRrrjh/P3b59La4d/CE/vqTYnk5xREE3b/567Ni3 69athMREFitCyNvba/jwqMOHj0tFI1A9OOrGHFGLpUUho88p9iCRB9hB6weUI9rpHFGIkeI/NEC8 HTFxfv6FmTOnwsQdHR25adMuq9Uqk7mYtwmRWDqdBsfdwnX8khPHrcLfgvhOKUO4v6BOOp0O/hL4 hnxTKFF5edWuXYfUanVWVs7Zsxd27TqEw7wQQmZzfXLykQULZoIt5eOLyPYkzhtSYxnSWCwtycmZ CQmTwDFkWKweHvro6Mjk5Ex6F6TqxhzRjIzjChl9StiD8jzADlpopBzRTueIQowU/3AWiLdzNh+i xLzNsrKqlSvXMgyD427RbY7ojRsWlmUjIgZArBvEaWm1WpPJPGDAwxDfKWUI+qu4uCwsrH9s7JjE xOfgukLfUK7Q0P7x8RO1Wu3YsTFr126Oj5/I/3Tz5i/Gjx8BTzwy84Z4fBHZnsR5gziWV61aBmky Mo6rVMykSePg8UI5i5XqQVY35ogSOYdERh+RPegUR9SlNpYV5Yh2LkfUz6/3P/7xZz4wqEO3S0RE hG3btgbeDeIfZ8ARLS+vPnPm/Ny5CQEBfgghrVb7zjuv+/r2Tk4+EhcXGxExQOZ9QGzs6Pfee2PP njR/f9/Jk8e5uek6qPwmU31JSQXLOmw2W1VVTUlJOb7RlpRUuLnpHnqo3+1DAMjzBnF8EdmedXUN Yt8gjmVIYDTWGY3mmJgo/q9ehSxWqgdZ9w9HlM85FDP6kIg9KH9rUc4D7AhRjihfHcoRtVha/vnP z4A0DRo+PErqLZlWq8HrtXa7vW1NpNVqxV/U6TRjx8ZotZpduw4uWDATdpZqNOqwsP6Jic+lp2e7 ubnJ7FaDh785c+L27Ek/cuTEiy9O7qB3+MDVhFoAIxSuA/MzIWEyfz8Bcd64TcMgjC8B2xMH8Igl 5ohaLC1796YNGzZYPLdIiWUdHREBTNXt1I05oq6zPZVzRDtOlCPauRxRrVY7ceJYPg5Y5u33K6/M TE095u3t5evbKzPzG7z+pFy8dUGEEPLw0PP3fw0fPkSj0WzdumfFiiX4Ipx9+Mkn+5YvX0jkUuLC e3jo586N/+KLQ5mZ/8Ks3faVj49hwoSnbDb7hAmjLl4sHTlyCEKI47grV67dumWFX3JYxHlDuS08 D9y+cGe9U6yqqpqysqply+YJrkuNr4aGpoyM4/zD6qgeWHVjjqgU51DM6EMk9qBTHNEOEuWIdjpH VCoGkaiwsP4JCZOgDElJ8bCTU7kthmEYhnn77XX4ysSJY2fNmob9TaViQkIC4c0Kv9+Dg/v17Omp 0WiIXMqyskrcX3q9e2BgQIfu/n/hhVibzabXuwMjFCFkNjcUFl4ScC+l5g0kwU0V+znRNxBpLNts tm++yYPxK7hOZLEihC5cuIQQFxJCkRpU9x1HFEkz+pxiD3bcYXLiUlGOaKdzRJ0S1LdtXE1+W6Hb 9ZUIOnKC7SnFirxnInI1kZOcXrGfS/mGOAenWKx2uz05OXPKlPHOnhFB1cVFOaJ3vkucAlxkD3aQ KEe0K3BEnZIr7wmUtBWkcYrtKcWKvGeSahMX2Z5SviHOwSkWq0ajmTMnjpie6j4QjihlGEalUtnt drVaw3EcxEOLH5juN44olVOiHFEqKqzGxuve3l4ULtrdlZyc6enpcfly1SOPBFssLfX1jaGh/cvL qz089L17Gy5frpo/P7Fvnzsr+vchR9R1uc72xGqVqUg5oq2qS3FEkTOcTAFHFN3dtnq9e3h4mKC/ +AxMPl9UOUeUeB3b4rNMMbMUtWsb4vYh2oI2wfnjuovrhUg+I8VilaoXsQ3FfQTX09K+9vExTJo0 jj5gdWsNHPjo4cPH9Xr30tKK5maLt7fX2bMXVCqVw+G4evVnvd796NFvXn3lEZyefBf89NP98fGT nL0FtpeMxrrKyisxMVGdYh0h1NTUnJb29aBBj7l+F7x4sTQ1NQvH3nWErczMf6lUzMSJY9as2bR1 6xqE0Pr1Wz/4YFWbn0guXixduXId/36TmDgFcistrTh8+Livb298D4DynztXNH36lLlzE+TLmZp6 bMCAhxFCPj6GhITJgi2FMuWRb0OTqQ7qvmXL7sTEqdHRg5Rk2zZZrbatW/cYjeZ1695uNTGUh+Mc UH6r1Xbo0LHCwkvwqbt7j8mTx0VHR/L7C9flzJnz33xzqrn5BkJIo1EXFBQlJcXV1Pxy8OBXDQ1N kENQUEBSUkJFRbW4vwyGnmJbI0YMSUnJPHv2J9hWChtxJ04co1arlbdhSUkFQigkJOjUqYJRo4YJ 3v1AHfV69/79A4m2+PlbrTaoe2PjdXG9WJbdvz/j6tVauAg+YzB4vfnm+0888Th+gzpixJCQkCCi rby8AnEb8sFAJSUV6enZM2Y8B/48a9a0xYtXDR8+5P54mn9gVVFxRaVSNTU1e3rqPT31DofD29vr xo2WGzda4PqTTw7mp+/GHFGn2IN8LiW8I1arVVJcSim2ZxtsodsMTClRjmg34ojeumX9v//bX1tr 4pTF0wg4oo2NTceOfbtjxwZokLNnfzpwIDM6OlLQX9B0GRnHZ86cChxRlmVzc/O1Wq2AI3rmzHnY KSPuL6PRTLSVkXEc7yoyGutWrFg7YcIotVqtsA2Vc0RtNjvRFss6+PlD3Yn1qq6uuXq1FtcL7r5I gsVKtMVvQ6vVtmTJ6vj4WHwXdDi4U6cK+vTxxY90Wq3mpZemZWRkz5+feC83B1C1rxwOh5eXh06n hXHa3GwBoApCCK4LNg92Y46ocvaggEsZGzvmypWflyyZQ+RSEtmDbbYFDEwpUY5o9+KIHjhwNDi4 X0zMEykpR5VkLuKI3omD9PPziYgIxXxReanVaogCEgjel1RX15D6i2wLx1waDN643ZDiNlTOEbVa bVK2WhWuF/8ivDkwGs1EFivRFo6R9fDQu7u7r169DMd3chxXUHChttbEDxlUq9XDhkW++Wb6vHnT lZSTqmsqOLjfxYuler17U1Ozl5c2JuuSAAALWklEQVSHt7dXS8tNb2+v5mZLU1OzXu8u4HV0Y46o cvagU1xKInvQRVtSbUs5ot2LIwoIzcLCYoWZCziiOEZWpWLi4iYOGBASHh7WLhwccX8RbalUDI7h mzx5XEREWGRkOOSgsA2Vc0T58YICWy5KzGKVsoXjVocNixw9+snHH79DoTOZ6nfvTl29+vUuux2M qs366ad/6/XuLS033dx0bm46uPPdumW9dcsKd8SxY2P46bsxR1SKPShvSwmXUswevJe2pNrQRVGO KFFOcUTbfGQjiGGYsWNjRowYYrfbP/sspaDgJ1gXdCVPkLi/iLZGjhwaFhYC9U1Lyzpy5AReF1Ro SDlHFCFEtOV6ZYksVqKtXr2833vvDYeDO3Pm/KFDx/C6IMdxJ0/mhYQEKTzhkqp76eGHg83mHwVr gfw1wurqa+ipO+kJMTpqtQqH5YLkOaIOh6NDOaL8NEjEEeWzB8UbTIi22rwT+p7Zupcc0WvXflmx Yu2KFWuvXfsFlx/itOBfG7KV54jqdNqRI4fW1pq6CEd048btf/rTRvwvPT27vTIX29q165BKxej1 7suWzZs2bYLyuzsegHzhdhD3F9EWyzq2b99nsdzU6bQzZz7/H/8xd8+eNMGCrryUc0RdsUXsX5Zl 8a9/YLHiykrZOnjwq2vXftHptKNHP/nXv76Rk3Ma0NtwTuTSpfPEQYpW670jZlB1kFQqprnZ0txs gf96eXl4eXnA33BdeBMRZ9FdOKJE6XRaeVtELqXVavfx6dXY2Aw/ShSyPZ2yJSXKEe1GHNHGxutW qxX3l7NsTIvlZm7uD8888xT4vMVy09NTjyR4tvz+stvZQ4eOvfTSNAFH9OjRk4J1XJDB4E20xbLs xYulNTW1cCwi/yxDhVLOEZWyRfRDYr0EHNH8/AsajSYqKoLIYiXaKikp9/DQ9+jhxrdlsbQUF5c9 //wE8ROe3W7fsuWLBQtm0EiJbq3q6mvitUD+GqHgNwyZoLZp066AAL9p057Fp2WKeYCff54yaNBj wBFtaGjaufPA/Pkz0tOzGxqaTKa6qqoahBCwFrVaTUpKZkbGccgc1l04jvvuux927Ejmc0QhuIrj OEgPHFGM/rt4sXT58r///vfzp0wZj8v59NMj+Ts18HelbPn69h4+POrcuaIPPliF66XTaWfMmFpe Xr148RyO49as2QTsQX9/H8webJutp58eWVNTK0AsYtlsNrGtI0dOqNVqmTrKy2q1rVy5Fs+q6PZa UXOzZePG7dAvwBGNjo6srTV9/PHn1dXXICVwRCsrr548eUpc5uLiMuCI6nTawYMjYP3JZKp/773/ BY5o//6B4BsNDU18W7heO3YkwwvV8eNHzJ79Aryb4rchXNfr3YltiPtrxoype/emffzxe/eYoLZ9 +76cnNMcxzU1NRsMPflsTCWS8nn++MI+L2hD6C+bzb558678/AuQIYyvsrLK1as3wA0VtGjR7DFj YpTbcqoRrFYbcETN5ga8V+DLLw/PmjUNxi+Wi/USzBvgGy0tN3//+3f5P9dg3Cm3lZ39PcuyEyaM Et/qysqqPvssZfnyhZSs1k0FBLWkpHiIF3Q4HBAv2NJyU6VSeXl5wB2xTx/fV195FRPUuj1HVDl7 ENsqLCzGrDlcL41Gw7J2HAQiZg+2zRYwMGXesVCOaDfiiPIZnrhszmbiShsiCY6oYOWYeF3eloty liOqsF5E3yCyWJXbkuGspqdnDxz4aHuB2qnuveAu+NRT0Rcvlt66ZYVHQ4Zh3Nx0N260IIQ4jrt1 y/rss6NiJ0y5fziibfguw6jUahWy25GDu5POblchhFgHUqtc5xwKGJjiBDKfUo6o2FYX4YgSGZ7O ypU2lCqD1DhSbstFtQtHlMgEFlfBRVsynNW4uFjidarupXaIF3RF3YIjCrFTPTbv1h45IfjINmX8 r7fj9h4EUY4oFRXVfab2jxdEzrAi20AeEnAFEY+1SGQnoruZhET2IMuyMiXR692DgwNVFdWa/ELB R+xApctv943EHNEuKymOKBUVFRVW+8cLImdYkc6qpKRi1ar1q1e/jrmFmLXI5/59/PHOhoam3r1/ +5nSq1fP8PDQysqrYvagj4+htLTizJnz8Hc7FpWKioqKquvL2XhB4V0QzmSCsB687ExkRRI5ouju 5Wgxb1OlYuDMJ4Zhysqq0tOzHY47XEGWdWzevKtfvz7r17/tcDiysnL27cuYPz+RYZglS5IwPwVe hZ05cz4wMADYgyzL/vnP/1NRUe3jYxgxYgjHcZ9+un/BgpmCTWtUVFRUVPe3IF5QsBbIXyOUixds aGj66KMdQ4YMSknJRLfZnlKbhokcUb2+B+ZSIhJHtH//wIEDH+3Z03P06CdTU7MSEiaZTHdedbIs m59/4cMP42AFm8/0Ky2t3L07zWyux1xKvAYJLEqIP4N8hg8fotVqdu069MorM+imZyoqKqoHR87G C951F7TZbIcPnwgMDACuY0FB0datu1etWka0ROSI7t9/GHMpEUIpKUcvX65qamrGrMhLly6vWbNp 9uw4b2+v+fMTxfAwovr29f/++x/+8z8XGAxemEsJK38cx2VlfWs2NyQlxeHFRZWKiY6ONJsbZMpP RUVFRXX/adCgxyoqrgjWAvlrhD/99O/hT47G6YVvRCMiwpKS4uF24uvbq6HhOpIQkSPK51IihJYs mcswTEHBBcyK9Pf3LS2tRAgBDFdhrf7wh1dYloUXoZiBiW7HrZtM9a+9NsvNTcf/is1mN5vrQ0Np 6A8VFRXVAyRXzxfkOE7wzlRGwBG9dcvK54jenZtDrb7LRKuUUZ1Oa7f/FjyLmX4c5xBvi2dZNi3t a6vVtnDhbMGncA6cn1/vGTOmKqwLFRUVFdV9IGfjBYU3vMuXq7Zs2W00mo1GM+YcchxnNNZZLC2N jU1GYx1kbTbXf/ZZyuDBES+//OL58xdzcs5wHOfh4Q5IQ/i3e3dacXEZ5gEajWY4kwznaTSagUtp NJotlhY4aWj//sNXr9Zeu/YLPqssOTkzJ+f07WzrgAf49dffFReXjR79JNApjUYzFMxiadm7Nz04 uJ/8sXxUVFRUVPefgoP7NTU1q1SqGzdaGIbx9vZyOByennpgH6pUqlbiBUND+/v59YazysLDQwEm CWewASuysvIqsBOPHDkxdmwMcESTkuJ37jwweHD4Cy/Ebt68C76OEEpKig8N7a/VaqKjL+M8gYWN z3WzWFo+/zxlz5404AFGR0e2tPwK56IB9w8hNGXK+I0bt2/fvg/d5gH6+fVmWbag4Cc4yhXxeJW5 uWcDAvwmTBhFb4FUVFRUD5qcjRe8iyNqNJrffPP9Tz/9AN8/ZNiDRI4oUsAD3LcvAyH0u99Nl+IB otv8Q8wYRK1xKQXXpTiBfOnf+JvbzoOCi7d+N73lH3+R/yIVFRUVVRcUcESnTn3mhx9+FLBD+UzR wMCAObOSpDiijEajUcjuI3JEkQIeILBGiXliiQvgFJdSEcVNo0Hir6u6Ov6NioqKikpGLsULGgw9 V65c0tF4xi7CGv116cvWl54XXHQ4T4CjoqKiouo6qq6+FhbW/+efTb6+vX799VZj4/WAAD+zub5H D7eAAL+ffzYNGvQYP/1vd0GGUatVbu493AYNHNjRRewb0K+jTShSaBgXKrzGINT592cqKioqKufl 5WkIfSR0+ovTNFrN9es3vHt62Ww2m83es6fn9es3tFoNXPfz7c0wd2b63+6CGrVeo3aXyJmKioqK iqqra9jQgCciR2q1GoRQr7tPv8anUN++znCO37aVaFi7taXxZ85x1ymdVFRUVFRU3VFWZck4zsGy NoSQJu/kIQaxgGKhoqKioqJ6QGS32wKCIv4figeRy8FLskwAAAAASUVORK5CYII= " style="image-rendering:optimizeSpeed" preserveAspectRatio="none" height="176.65359" width="322.573" /> <g transform="translate(12.122621,500.63961)" id="g4654-9"> <rect y="199.68129" x="68.74765" height="262.25259" width="282.35532" id="rect4359-0" style="fill:#fff6d5;fill-opacity:1;stroke:#ffe680;stroke-width:2.35244703;stroke-linejoin:round;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" /> <g transform="translate(32.85403,-1.1328976)" id="g4558-5"> <rect style="fill:#ffb380;fill-opacity:1;stroke:#aa4400;stroke-width:1.75937951;stroke-linejoin:round;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" id="rect4388-0" width="134.52634" height="57.383476" x="164.16541" y="270.81332" /> <flowRoot transform="translate(-350.93614,69.363122)" xml:space="preserve" id="flowRoot4230-6-5-8" style="font-style:normal;font-weight:normal;font-size:40px;line-height:125%;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#000000;fill-opacity:1;stroke:none;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1"><flowRegion id="flowRegion4232-8-3-0"><rect id="rect4234-36-7-2" width="188.57143" height="34.285721" x="521.42859" y="205.21935" /></flowRegion><flowPara id="flowPara4236-0-5-3" style="font-size:22.5px">run control</flowPara></flowRoot> </g> <g transform="translate(32.85403,-1.1328976)" id="g4550-8"> <rect style="fill:#ddff55;fill-opacity:1;stroke:#88aa00;stroke-width:2.12757635;stroke-linejoin:round;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" id="rect4414-12" width="134.15814" height="59.872425" x="164.34949" y="330.99744" /> <flowRoot transform="translate(-352.92371,125.9618)" xml:space="preserve" id="flowRoot4230-6-5-4-2" style="font-style:normal;font-weight:normal;font-size:40px;line-height:125%;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#000000;fill-opacity:1;stroke:none;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1"><flowRegion id="flowRegion4232-8-3-5-9"><rect id="rect4234-36-7-3-4" width="168.57141" height="78.571434" x="521.42859" y="205.21935" /></flowRegion><flowPara id="flowPara4236-0-5-6-8" style="font-size:22.5px">storage</flowPara><flowPara style="font-size:22.5px" id="flowPara4456-57">allocation</flowPara></flowRoot> </g> <g style="fill:#ffcc00" transform="matrix(0.69892424,0,0,0.60590041,-67.539165,-184.64324)" id="g4510-3"> <g transform="translate(21.07191,-13.088427)" id="g4565-33"> <rect y="817.35736" x="220.84483" height="45.00967" width="84.160019" id="rect4494-61" style="fill:#ffcc00;fill-opacity:1;stroke:#88aa00;stroke-width:1.99030769;stroke-linejoin:round;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" /> <path sodipodi:open="true" d="m 221.21854,816.24251 a 41.834236,18.546101 0 0 1 40.18978,-19.00419 41.834236,18.546101 0 0 1 43.40743,17.55829 41.834236,18.546101 0 0 1 -39.01506,19.47937 41.834236,18.546101 0 0 1 -44.46328,-17.03113" sodipodi:end="3.0620028" sodipodi:start="3.1161299" sodipodi:ry="18.546101" sodipodi:rx="41.834236" sodipodi:cy="815.77032" sodipodi:cx="263.03922" sodipodi:type="arc" id="path4458-0" style="fill:#ffcc00;fill-opacity:1;stroke:#88aa00;stroke-width:2.02593803;stroke-linejoin:round;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" /> <path transform="scale(1,-1)" d="m 221.40372,-862.64317 a 41.834236,18.546101 0 0 1 20.45608,-16.4174 41.834236,18.546101 0 0 1 42.30602,-0.10995 41.834236,18.546101 0 0 1 20.88886,16.30994 l -41.83028,-0.25478 z" sodipodi:end="0.013738116" sodipodi:start="3.1161299" sodipodi:ry="18.546101" sodipodi:rx="41.834236" sodipodi:cy="-863.11536" sodipodi:cx="263.2244" sodipodi:type="arc" id="path4458-4-6" style="fill:#ffcc00;fill-opacity:1;stroke:#88aa00;stroke-width:2.02593803;stroke-linejoin:round;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" /> <rect y="853.41882" x="222.65796" height="11.132897" width="81.339867" id="rect4496-8" style="fill:#ffcc00;fill-opacity:1;stroke:none;stroke-width:2;stroke-linejoin:round;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" /> </g> </g> <flowRoot style="font-style:normal;font-weight:normal;font-size:40px;line-height:125%;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#000000;fill-opacity:1;stroke:none;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1" id="flowRoot4230-6-7-3" xml:space="preserve" transform="translate(-444.3006,0.67342019)"><flowRegion id="flowRegion4232-8-9-7"><rect y="205.21935" x="521.42859" height="34.285721" width="188.57143" id="rect4234-36-4-96" /></flowRegion><flowPara style="font-size:22.5px" id="flowPara4236-0-4-93">area/testsuite</flowPara></flowRoot> <flowRoot transform="translate(-104.22658,-299.08497)" style="font-style:normal;font-weight:normal;font-size:40px;line-height:125%;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#000000;fill-opacity:1;stroke:none;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1" id="flowRoot4540-7" xml:space="preserve"><flowRegion id="flowRegion4542-3"><rect y="649.05066" x="168.80174" height="39.651405" width="130.28322" id="rect4544-3" /></flowRegion><flowPara style="font-size:15px;text-align:center;text-anchor:middle" id="flowPara4546-2">state/status database</flowPara><flowPara id="flowPara4548-7" /></flowRoot> <rect y="399.81317" x="70.239655" height="61.176472" width="279.82571" id="rect4598-3" style="fill:#d3bc5f;fill-opacity:1;stroke:none;stroke-width:2;stroke-linejoin:round;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" /> <flowRoot style="font-style:normal;font-weight:normal;font-size:40px;line-height:125%;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#000000;fill-opacity:1;stroke:none;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1" id="flowRoot4230-6-7-1-0" xml:space="preserve" transform="translate(-440.9019,200.0634)"><flowRegion id="flowRegion4232-8-9-2-6"><rect y="205.21935" x="521.42859" height="52.412083" width="264.47556" id="rect4234-36-4-9-3" /></flowRegion><flowPara style="font-size:17.5px;text-align:center;text-anchor:middle" id="flowPara4236-0-4-9-0">configs and custom automation</flowPara></flowRoot> </g> <g transform="translate(-7.1366364,513.10148)" id="g4654-4"> <rect y="199.68129" x="68.74765" height="262.25259" width="282.35532" id="rect4359-8" style="fill:#fff6d5;fill-opacity:1;stroke:#ffe680;stroke-width:2.35244703;stroke-linejoin:round;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" /> <g transform="translate(32.85403,-1.1328976)" id="g4558-9"> <rect style="fill:#ffb380;fill-opacity:1;stroke:#aa4400;stroke-width:1.75937951;stroke-linejoin:round;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" id="rect4388-5" width="134.52634" height="57.383476" x="164.16541" y="270.81332" /> <flowRoot transform="translate(-350.93614,69.363122)" xml:space="preserve" id="flowRoot4230-6-5-0" style="font-style:normal;font-weight:normal;font-size:40px;line-height:125%;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#000000;fill-opacity:1;stroke:none;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1"><flowRegion id="flowRegion4232-8-3-6"><rect id="rect4234-36-7-4" width="188.57143" height="34.285721" x="521.42859" y="205.21935" /></flowRegion><flowPara id="flowPara4236-0-5-66" style="font-size:22.5px">run control</flowPara></flowRoot> </g> <g transform="translate(32.85403,-1.1328976)" id="g4550-9"> <rect style="fill:#ddff55;fill-opacity:1;stroke:#88aa00;stroke-width:2.12757635;stroke-linejoin:round;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" id="rect4414-1" width="134.15814" height="59.872425" x="164.34949" y="330.99744" /> <flowRoot transform="translate(-352.92371,125.9618)" xml:space="preserve" id="flowRoot4230-6-5-4-1" style="font-style:normal;font-weight:normal;font-size:40px;line-height:125%;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#000000;fill-opacity:1;stroke:none;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1"><flowRegion id="flowRegion4232-8-3-5-2"><rect id="rect4234-36-7-3-6" width="168.57141" height="78.571434" x="521.42859" y="205.21935" /></flowRegion><flowPara id="flowPara4236-0-5-6-1" style="font-size:22.5px">storage</flowPara><flowPara style="font-size:22.5px" id="flowPara4456-5">allocation</flowPara></flowRoot> </g> <g style="fill:#ffcc00" transform="matrix(0.69892424,0,0,0.60590041,-67.539165,-184.64324)" id="g4510-57"> <g transform="translate(21.07191,-13.088427)" id="g4565-3"> <rect y="817.35736" x="220.84483" height="45.00967" width="84.160019" id="rect4494-6" style="fill:#ffcc00;fill-opacity:1;stroke:#88aa00;stroke-width:1.99030769;stroke-linejoin:round;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" /> <path sodipodi:open="true" d="m 221.21854,816.24251 a 41.834236,18.546101 0 0 1 40.18978,-19.00419 41.834236,18.546101 0 0 1 43.40743,17.55829 41.834236,18.546101 0 0 1 -39.01506,19.47937 41.834236,18.546101 0 0 1 -44.46328,-17.03113" sodipodi:end="3.0620028" sodipodi:start="3.1161299" sodipodi:ry="18.546101" sodipodi:rx="41.834236" sodipodi:cy="815.77032" sodipodi:cx="263.03922" sodipodi:type="arc" id="path4458-46" style="fill:#ffcc00;fill-opacity:1;stroke:#88aa00;stroke-width:2.02593803;stroke-linejoin:round;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" /> <path transform="scale(1,-1)" d="m 221.40372,-862.64317 a 41.834236,18.546101 0 0 1 20.45608,-16.4174 41.834236,18.546101 0 0 1 42.30602,-0.10995 41.834236,18.546101 0 0 1 20.88886,16.30994 l -41.83028,-0.25478 z" sodipodi:end="0.013738116" sodipodi:start="3.1161299" sodipodi:ry="18.546101" sodipodi:rx="41.834236" sodipodi:cy="-863.11536" sodipodi:cx="263.2244" sodipodi:type="arc" id="path4458-4-4" style="fill:#ffcc00;fill-opacity:1;stroke:#88aa00;stroke-width:2.02593803;stroke-linejoin:round;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" /> <rect y="853.41882" x="222.65796" height="11.132897" width="81.339867" id="rect4496-9" style="fill:#ffcc00;fill-opacity:1;stroke:none;stroke-width:2;stroke-linejoin:round;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" /> </g> </g> <flowRoot style="font-style:normal;font-weight:normal;font-size:40px;line-height:125%;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#000000;fill-opacity:1;stroke:none;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1" id="flowRoot4230-6-7-2" xml:space="preserve" transform="translate(-444.3006,0.67342019)"><flowRegion id="flowRegion4232-8-9-0"><rect y="205.21935" x="521.42859" height="34.285721" width="188.57143" id="rect4234-36-4-5" /></flowRegion><flowPara style="font-size:22.5px" id="flowPara4236-0-4-8">area/testsuite</flowPara></flowRoot> <flowRoot transform="translate(-104.22658,-299.08497)" style="font-style:normal;font-weight:normal;font-size:40px;line-height:125%;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#000000;fill-opacity:1;stroke:none;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1" id="flowRoot4540-2" xml:space="preserve"><flowRegion id="flowRegion4542-6"><rect y="649.05066" x="168.80174" height="39.651405" width="130.28322" id="rect4544-7" /></flowRegion><flowPara style="font-size:15px;text-align:center;text-anchor:middle" id="flowPara4546-0">state/status database</flowPara><flowPara id="flowPara4548-6" /></flowRoot> <rect y="399.81317" x="70.239655" height="61.176472" width="279.82571" id="rect4598-5" style="fill:#d3bc5f;fill-opacity:1;stroke:none;stroke-width:2;stroke-linejoin:round;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" /> <flowRoot style="font-style:normal;font-weight:normal;font-size:40px;line-height:125%;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#000000;fill-opacity:1;stroke:none;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1" id="flowRoot4230-6-7-1-2" xml:space="preserve" transform="translate(-440.9019,200.0634)"><flowRegion id="flowRegion4232-8-9-2-2"><rect y="205.21935" x="521.42859" height="52.412083" width="264.47556" id="rect4234-36-4-9-8" /></flowRegion><flowPara style="font-size:17.5px;text-align:center;text-anchor:middle" id="flowPara4236-0-4-9-3">configs and custom automation</flowPara></flowRoot> </g> <g id="g4190" transform="matrix(-0.84371534,0.01979065,-0.02351016,-1.0022856,1092.315,1172.4738)"> <path sodipodi:open="true" d="m 512.15263,288.64133 a 63.57143,12.857143 0 0 1 60.44617,-12.99805 63.57143,12.857143 0 0 1 66.45678,11.73666 63.57143,12.857143 0 0 1 -55.53716,13.86501 63.57143,12.857143 0 0 1 -70.55918,-10.71249" sodipodi:end="2.9816588" sodipodi:start="3.1294277" sodipodi:ry="12.857143" sodipodi:rx="63.57143" sodipodi:cy="288.48492" sodipodi:cx="575.71936" sodipodi:type="arc" id="path4136-0" style="fill:#99ff99;fill-opacity:1;stroke:#07ff00;stroke-width:2;stroke-linejoin:round;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" /> <path style="fill:#99ff99;fill-opacity:1;stroke:#07ff00;stroke-width:2;stroke-linejoin:round;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" id="path4178" sodipodi:type="arc" sodipodi:cx="575.71936" sodipodi:cy="294.60724" sodipodi:rx="63.57143" sodipodi:ry="12.857143" sodipodi:start="3.1294277" sodipodi:end="2.9816588" d="m 512.15263,294.76364 a 63.57143,12.857143 0 0 1 60.44617,-12.99805 63.57143,12.857143 0 0 1 66.45678,11.73666 63.57143,12.857143 0 0 1 -55.53716,13.86501 63.57143,12.857143 0 0 1 -70.55918,-10.71248" sodipodi:open="true" /> <path sodipodi:open="true" d="m 512.15263,300.88596 a 63.57143,12.857143 0 0 1 60.44617,-12.99805 63.57143,12.857143 0 0 1 66.45678,11.73666 63.57143,12.857143 0 0 1 -55.53716,13.865 63.57143,12.857143 0 0 1 -70.55918,-10.71248" sodipodi:end="2.9816588" sodipodi:start="3.1294277" sodipodi:ry="12.857143" sodipodi:rx="63.57143" sodipodi:cy="300.72955" sodipodi:cx="575.71936" sodipodi:type="arc" id="path4180" style="fill:#99ff99;fill-opacity:1;stroke:#07ff00;stroke-width:2;stroke-linejoin:round;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" /> <path style="fill:#99ff99;fill-opacity:1;stroke:#07ff00;stroke-width:2;stroke-linejoin:round;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" id="path4182" sodipodi:type="arc" sodipodi:cx="575.71936" sodipodi:cy="306.85187" sodipodi:rx="63.57143" sodipodi:ry="12.857143" sodipodi:start="3.1294277" sodipodi:end="2.9816588" d="m 512.15263,307.00827 a 63.57143,12.857143 0 0 1 60.44617,-12.99805 63.57143,12.857143 0 0 1 66.45678,11.73666 63.57143,12.857143 0 0 1 -55.53716,13.86501 63.57143,12.857143 0 0 1 -70.55918,-10.71248" sodipodi:open="true" /> <path sodipodi:open="true" d="m 512.15263,313.13058 a 63.57143,12.857143 0 0 1 60.44617,-12.99804 63.57143,12.857143 0 0 1 66.45678,11.73666 63.57143,12.857143 0 0 1 -55.53716,13.865 63.57143,12.857143 0 0 1 -70.55918,-10.71248" sodipodi:end="2.9816588" sodipodi:start="3.1294277" sodipodi:ry="12.857143" sodipodi:rx="63.57143" sodipodi:cy="312.97418" sodipodi:cx="575.71936" sodipodi:type="arc" id="path4184" style="fill:#99ff99;fill-opacity:1;stroke:#07ff00;stroke-width:2;stroke-linejoin:round;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" /> <path style="fill:#99ff99;fill-opacity:1;stroke:#07ff00;stroke-width:2;stroke-linejoin:round;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" id="path4186" sodipodi:type="arc" sodipodi:cx="575.71936" sodipodi:cy="319.0965" sodipodi:rx="63.57143" sodipodi:ry="12.857143" sodipodi:start="3.1294277" sodipodi:end="2.9816588" d="m 512.15263,319.2529 a 63.57143,12.857143 0 0 1 60.44617,-12.99805 63.57143,12.857143 0 0 1 66.45678,11.73666 63.57143,12.857143 0 0 1 -55.53716,13.86501 63.57143,12.857143 0 0 1 -70.55918,-10.71249" sodipodi:open="true" /> <path sodipodi:open="true" d="m 512.15263,325.37521 a 63.57143,12.857143 0 0 1 60.44617,-12.99804 63.57143,12.857143 0 0 1 66.45678,11.73666 63.57143,12.857143 0 0 1 -55.53716,13.865 63.57143,12.857143 0 0 1 -70.55918,-10.71248" sodipodi:end="2.9816588" sodipodi:start="3.1294277" sodipodi:ry="12.857143" sodipodi:rx="63.57143" sodipodi:cy="325.21881" sodipodi:cx="575.71936" sodipodi:type="arc" id="path4188" style="fill:#99ff99;fill-opacity:1;stroke:#07ff00;stroke-width:2;stroke-linejoin:round;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" /> </g> <path style="fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1" d="m 480.79052,694.68093 c -20.48995,16.02845 -49.92126,-2.22239 -61.48209,35.56138 -14.07962,50.51945 13.82501,65.4894 9.14417,107.80549 0.30581,43.82264 -8.10403,35.30357 13.87255,75.62963 11.76423,19.14732 41.85079,38.54184 50.91809,59.14205 25.79328,31.08882 46.46188,-3.14626 83.61295,-0.31378 32.17165,2.32694 31.03441,7.29979 63.48515,9.94718 26.05422,-13.75252 60.87578,-31.62469 63.68671,-61.1889 9.53867,-46.64667 -26.39163,-67.56952 -17.75811,-114.34909 3.31882,-37.73498 28.49078,-79.48402 2.32824,-109.58076 -24.95714,-19.25618 -45.71429,-7.14286 -62.21189,-38.53298 -30.06032,-27.22255 -65.38383,-15.84869 -72.95381,5.65785 -24.07053,43.07907 -44.28571,-11.42857 -72.64196,30.22193 z" id="path4199" inkscape:connector-curvature="0" sodipodi:nodetypes="ccccccccccccc" /> <flowRoot xml:space="preserve" id="flowRoot4230" style="font-style:normal;font-weight:normal;font-size:40px;line-height:125%;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#000000;fill-opacity:1;stroke:none;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1" transform="translate(-24.923748,483.7473)"><flowRegion id="flowRegion4232"><rect id="rect4234" width="188.57143" height="34.285721" x="521.42859" y="205.21935" /></flowRegion><flowPara id="flowPara4236" style="font-size:22.5px"><flowSpan style="font-size:22.5px;line-height:124.00000095%" id="flowSpan4238">compute</flowSpan> cloud</flowPara></flowRoot> <flowRoot transform="translate(-6.809158,713.2426)" xml:space="preserve" id="flowRoot4230-5" style="font-style:normal;font-weight:normal;font-size:40px;line-height:125%;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#000000;fill-opacity:1;stroke:none;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1"><flowRegion id="flowRegion4232-6"><rect id="rect4234-3" width="162.85713" height="72.857147" x="521.42859" y="205.21935" /></flowRegion><flowPara id="flowPara4236-7" style="font-size:22.5px">storage (NFS, moosefs etc.)</flowPara></flowRoot> <g id="g4306" transform="translate(-24.923748,483.7473)"> <rect y="237.82025" x="481.17233" height="43.369614" width="56.226757" id="rect4277" style="fill:#e9afaf;fill-opacity:1;stroke:#a02c2c;stroke-width:1.48752904;stroke-linejoin:round;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" /> <flowRoot style="font-style:normal;font-weight:normal;font-size:40px;line-height:125%;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#000000;fill-opacity:1;stroke:none;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1" id="flowRoot4230-2" xml:space="preserve" transform="translate(-33.313982,40.923874)"><flowRegion id="flowRegion4232-3"><rect y="205.21935" x="521.42859" height="32.857151" width="61.428555" id="rect4234-2" /></flowRegion><flowPara style="font-size:22.5px" id="flowPara4236-9">job</flowPara></flowRoot> </g> <g transform="translate(95.790536,522.31872)" id="g4306-3"> <rect y="237.82025" x="481.17233" height="43.369614" width="56.226757" id="rect4277-9" style="fill:#e9afaf;fill-opacity:1;stroke:#a02c2c;stroke-width:1.48752904;stroke-linejoin:round;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" /> <flowRoot style="font-style:normal;font-weight:normal;font-size:40px;line-height:125%;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#000000;fill-opacity:1;stroke:none;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1" id="flowRoot4230-2-2" xml:space="preserve" transform="translate(-33.313982,40.923874)"><flowRegion id="flowRegion4232-3-7"><rect y="205.21935" x="521.42859" height="32.857151" width="61.428555" id="rect4234-2-0" /></flowRegion><flowPara style="font-size:22.5px" id="flowPara4236-9-5">job</flowPara></flowRoot> </g> <g transform="translate(-25.638031,588.03302)" id="g4306-6"> <rect y="237.82025" x="481.17233" height="43.369614" width="56.226757" id="rect4277-6" style="fill:#e9afaf;fill-opacity:1;stroke:#a02c2c;stroke-width:1.48752904;stroke-linejoin:round;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" /> <flowRoot style="font-style:normal;font-weight:normal;font-size:40px;line-height:125%;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#000000;fill-opacity:1;stroke:none;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1" id="flowRoot4230-2-27" xml:space="preserve" transform="translate(-33.313982,40.923874)"><flowRegion id="flowRegion4232-3-2"><rect y="205.21935" x="521.42859" height="32.857151" width="61.428555" id="rect4234-2-09" /></flowRegion><flowPara style="font-size:22.5px" id="flowPara4236-9-4">job</flowPara></flowRoot> </g> <flowRoot transform="translate(-433.36378,162.68235)" xml:space="preserve" id="flowRoot4230-6" style="font-style:normal;font-weight:normal;font-size:15px;line-height:125%;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#000000;fill-opacity:1;stroke:none;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1;"><flowRegion id="flowRegion4232-8"><rect id="rect4234-36" width="188.57143" height="34.285721" x="521.42859" y="205.21935" style="font-size:15px;" /></flowRegion><flowPara id="flowPara4236-0" style="font-size:15px;" /></flowRoot> <g id="g4654" transform="translate(-23.79085,525.66451)"> <rect y="199.68129" x="68.74765" height="262.25259" width="282.35532" id="rect4359" style="fill:#fff6d5;fill-opacity:1;stroke:#ffe680;stroke-width:2.35244703;stroke-linejoin:round;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" /> <g transform="translate(32.85403,-1.1328976)" id="g4558"> <rect style="fill:#ffb380;fill-opacity:1;stroke:#aa4400;stroke-width:1.75937951;stroke-linejoin:round;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" id="rect4388" width="134.52634" height="57.383476" x="164.16541" y="270.81332" /> <flowRoot transform="translate(-350.93614,69.363122)" xml:space="preserve" id="flowRoot4230-6-5" style="font-style:normal;font-weight:normal;font-size:40px;line-height:125%;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#000000;fill-opacity:1;stroke:none;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1"><flowRegion id="flowRegion4232-8-3"><rect id="rect4234-36-7" width="188.57143" height="34.285721" x="521.42859" y="205.21935" /></flowRegion><flowPara id="flowPara4236-0-5" style="font-size:22.5px">run control</flowPara></flowRoot> </g> <g transform="translate(32.85403,-1.1328976)" id="g4550"> <rect style="fill:#ddff55;fill-opacity:1;stroke:#88aa00;stroke-width:2.12757635;stroke-linejoin:round;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" id="rect4414" width="134.15814" height="59.872425" x="164.34949" y="330.99744" /> <flowRoot transform="translate(-352.92371,125.9618)" xml:space="preserve" id="flowRoot4230-6-5-4" style="font-style:normal;font-weight:normal;font-size:40px;line-height:125%;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#000000;fill-opacity:1;stroke:none;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1"><flowRegion id="flowRegion4232-8-3-5"><rect id="rect4234-36-7-3" width="168.57141" height="78.571434" x="521.42859" y="205.21935" /></flowRegion><flowPara id="flowPara4236-0-5-6" style="font-size:22.5px">storage</flowPara><flowPara style="font-size:22.5px" id="flowPara4456">allocation</flowPara></flowRoot> </g> <g style="fill:#ffcc00" transform="matrix(0.69892424,0,0,0.60590041,-67.539165,-184.64324)" id="g4510"> <g transform="translate(21.07191,-13.088427)" id="g4565"> <rect y="817.35736" x="220.84483" height="45.00967" width="84.160019" id="rect4494" style="fill:#ffcc00;fill-opacity:1;stroke:#88aa00;stroke-width:1.99030769;stroke-linejoin:round;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" /> <path sodipodi:open="true" d="m 221.21854,816.24251 a 41.834236,18.546101 0 0 1 40.18978,-19.00419 41.834236,18.546101 0 0 1 43.40743,17.55829 41.834236,18.546101 0 0 1 -39.01506,19.47937 41.834236,18.546101 0 0 1 -44.46328,-17.03113" sodipodi:end="3.0620028" sodipodi:start="3.1161299" sodipodi:ry="18.546101" sodipodi:rx="41.834236" sodipodi:cy="815.77032" sodipodi:cx="263.03922" sodipodi:type="arc" id="path4458" style="fill:#ffcc00;fill-opacity:1;stroke:#88aa00;stroke-width:2.02593803;stroke-linejoin:round;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" /> <path transform="scale(1,-1)" d="m 221.40372,-862.64317 a 41.834236,18.546101 0 0 1 20.45608,-16.4174 41.834236,18.546101 0 0 1 42.30602,-0.10995 41.834236,18.546101 0 0 1 20.88886,16.30994 l -41.83028,-0.25478 z" sodipodi:end="0.013738116" sodipodi:start="3.1161299" sodipodi:ry="18.546101" sodipodi:rx="41.834236" sodipodi:cy="-863.11536" sodipodi:cx="263.2244" sodipodi:type="arc" id="path4458-4" style="fill:#ffcc00;fill-opacity:1;stroke:#88aa00;stroke-width:2.02593803;stroke-linejoin:round;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" /> <rect y="853.41882" x="222.65796" height="11.132897" width="81.339867" id="rect4496" style="fill:#ffcc00;fill-opacity:1;stroke:none;stroke-width:2;stroke-linejoin:round;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" /> </g> </g> <flowRoot style="font-style:normal;font-weight:normal;font-size:40px;line-height:125%;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#000000;fill-opacity:1;stroke:none;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1" id="flowRoot4230-6-7" xml:space="preserve" transform="translate(-444.3006,0.67342019)"><flowRegion id="flowRegion4232-8-9"><rect y="205.21935" x="521.42859" height="34.285721" width="188.57143" id="rect4234-36-4" /></flowRegion><flowPara style="font-size:22.5px" id="flowPara4236-0-4">area/testsuite</flowPara></flowRoot> <flowRoot transform="translate(-104.22658,-299.08497)" style="font-style:normal;font-weight:normal;font-size:40px;line-height:125%;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#000000;fill-opacity:1;stroke:none;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1" id="flowRoot4540" xml:space="preserve"><flowRegion id="flowRegion4542"><rect y="649.05066" x="168.80174" height="39.651405" width="130.28322" id="rect4544" /></flowRegion><flowPara style="font-size:15px;text-align:center;text-anchor:middle" id="flowPara4546">state/status database</flowPara><flowPara id="flowPara4548" /></flowRoot> <rect y="399.81317" x="70.239655" height="61.176472" width="279.82571" id="rect4598" style="fill:#d3bc5f;fill-opacity:1;stroke:none;stroke-width:2;stroke-linejoin:round;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" /> <flowRoot style="font-style:normal;font-weight:normal;font-size:40px;line-height:125%;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#000000;fill-opacity:1;stroke:none;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1" id="flowRoot4230-6-7-1" xml:space="preserve" transform="translate(-440.9019,200.0634)"><flowRegion id="flowRegion4232-8-9-2"><rect y="205.21935" x="521.42859" height="52.412083" width="264.47556" id="rect4234-36-4-9" /></flowRegion><flowPara style="font-size:17.5px;text-align:center;text-anchor:middle" id="flowPara4236-0-4-9">configs and custom automation</flowPara></flowRoot> </g> <g id="g4510-5" transform="matrix(0.9875096,0,0,0.89462735,317.68506,-291.88682)" style="fill:#ffcc00"> <g id="g4565-7" transform="translate(21.07191,-13.088427)"> <rect style="fill:#ffcc00;fill-opacity:1;stroke:#88aa00;stroke-width:1.99030769;stroke-linejoin:round;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" id="rect4494-4" width="84.160019" height="45.00967" x="220.84483" y="817.35736" /> <path style="fill:#ffcc00;fill-opacity:1;stroke:#88aa00;stroke-width:2.02593803;stroke-linejoin:round;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" id="path4458-8" sodipodi:type="arc" sodipodi:cx="263.03922" sodipodi:cy="815.77032" sodipodi:rx="41.834236" sodipodi:ry="18.546101" sodipodi:start="3.1161299" sodipodi:end="3.0620028" d="m 221.21854,816.24251 a 41.834236,18.546101 0 0 1 40.18978,-19.00419 41.834236,18.546101 0 0 1 43.40743,17.55829 41.834236,18.546101 0 0 1 -39.01506,19.47937 41.834236,18.546101 0 0 1 -44.46328,-17.03113" sodipodi:open="true" /> <path style="fill:#ffcc00;fill-opacity:1;stroke:#88aa00;stroke-width:2.02593803;stroke-linejoin:round;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" id="path4458-4-7" sodipodi:type="arc" sodipodi:cx="263.2244" sodipodi:cy="-863.11536" sodipodi:rx="41.834236" sodipodi:ry="18.546101" sodipodi:start="3.1161299" sodipodi:end="0.013738116" d="m 221.40372,-862.64317 a 41.834236,18.546101 0 0 1 20.45608,-16.4174 41.834236,18.546101 0 0 1 42.30602,-0.10995 41.834236,18.546101 0 0 1 20.88886,16.30994 l -41.83028,-0.25478 z" transform="scale(1,-1)" /> <rect style="fill:#ffcc00;fill-opacity:1;stroke:none;stroke-width:2;stroke-linejoin:round;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" id="rect4496-5" width="81.339867" height="11.132897" x="222.65796" y="853.41882" /> </g> </g> <path style="display:inline;fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1;marker-end:url(#Arrow2Lend)" d="m 274.16122,593.53868 26.05664,95.1634" id="path4922" inkscape:connector-type="polyline" inkscape:connector-curvature="0" /> <path style="display:inline;fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1;marker-end:url(#marker5302)" d="m 261.69935,595.80447 -2.2658,89.49892" id="path5270" inkscape:connector-type="polyline" inkscape:connector-curvature="0" /> <path style="display:inline;fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1;marker-end:url(#marker5274)" d="m 252.63617,598.07027 -49.80483,90.64802" id="path5272" inkscape:connector-type="polyline" inkscape:connector-curvature="0" /> <path style="display:inline;fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1;marker-end:url(#marker5302-0)" d="M 313.96906,821.51733 442.96295,751.01146" id="path5270-0" inkscape:connector-type="polyline" inkscape:connector-curvature="0" /> <path style="display:inline;fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1;marker-end:url(#marker5302-0-9)" d="M 313.81263,825.7827 570.98038,787.26418" id="path5270-0-9" inkscape:connector-type="polyline" inkscape:connector-curvature="0" /> <path style="display:inline;fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1;marker-end:url(#marker5302-0-9-7)" d="m 310.41394,830.31429 135.94771,18.12636" id="path5270-0-9-2" inkscape:connector-type="polyline" inkscape:connector-curvature="0" /> <path style="display:inline;fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1;marker-end:url(#marker5302-0-9-7-7)" d="M 334.20479,679.63889 561.91721,483.64761" id="path5270-0-9-2-0" inkscape:connector-type="polyline" inkscape:connector-curvature="0" /> <path style="display:inline;fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1;marker-end:url(#marker5302-0-9-7-7-1)" d="M 373.85621,692.10077 572.11329,491.57789" id="path5270-0-9-2-0-5" inkscape:connector-type="polyline" inkscape:connector-curvature="0" /> <flowRoot transform="translate(65.932827,283.73434)" xml:space="preserve" id="flowRoot4230-7" style="font-style:normal;font-weight:normal;font-size:40px;line-height:125%;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#000000;fill-opacity:1;stroke:none;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1"><flowRegion id="flowRegion4232-4"><rect id="rect4234-68" width="151.18582" height="55.810787" x="521.42859" y="205.21935" /></flowRegion><flowPara id="flowPara4236-39" style="font-size:22.5px;text-align:center;text-anchor:middle">postgresql database</flowPara></flowRoot> <flowRoot transform="matrix(0.75559123,-0.65504344,0.65504344,0.75559123,-79.970125,770.0914)" xml:space="preserve" id="flowRoot4230-8" style="font-style:normal;font-weight:normal;font-size:40px;line-height:125%;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#000000;fill-opacity:1;stroke:none;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1" inkscape:transform-center-y="-2.2099189" inkscape:transform-center-x="3.4352659"><flowRegion id="flowRegion4232-46"><rect id="rect4234-30" width="70.750061" height="33.152824" x="521.42859" y="205.21935" /></flowRegion><flowPara id="flowPara4236-6" style="font-size:15px">sync</flowPara></flowRoot> <path style="fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1" d="m 467.3997,628.12966 0,0" id="path9031" inkscape:connector-type="polyline" inkscape:connector-curvature="0" /> <path style="display:inline;fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1;marker-start:url(#marker16686);marker-end:url(#marker5274-8)" d="M 125.75163,641.12037 113.28976,360.16178" id="path5272-7" inkscape:connector-type="polyline" inkscape:connector-curvature="0" /> <path style="display:inline;fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1;marker-start:url(#marker16520);marker-end:url(#marker5274-8-6)" d="M 87.233115,651.31645 100.82788,357.89598" id="path5272-7-4" inkscape:connector-type="polyline" inkscape:connector-curvature="0" /> <path style="display:inline;fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1;marker-start:url(#Arrow1Lstart);marker-end:url(#marker5274-8-6-7)" d="M 49.847495,676.2402 84.96732,356.76309" id="path5272-7-4-2" inkscape:connector-type="polyline" inkscape:connector-curvature="0" /> <g id="g12830" transform="translate(-133.68192,-662.74509)"> <image width="334.8475" height="196.18736" preserveAspectRatio="none" style="image-rendering:optimizeSpeed" xlink:href="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyUAAAH+CAIAAAANkDYNAAAAA3NCSVQICAjb4U/gAAAgAElEQVR4 nOzdd3wcx50g+l9Vp8nAJOQZ5MhMgjmTEiVGBSpYsmzL66Rdh/Oe7+369u36rXf99j5v79761uuw sixbkm3JiqQYxEyKOQMgEhNyjpOAid1ddX80MARBMMkkAYj1/eAjTajqro78TXX1r9G0+asBAAAQ 5njJgBAwDMMwDPN5hwFG/5Of606aOa1I0ulvUc3hdJpNRqpGu1trtp3afbW/iwJQCgCAEABCGAPG gAAQQgBAKSWUUgoIAGGEMaKYUApAAWOMEXA8CCLo9IgXCMdTDMAhhDmOEiwrNBJWI2GiqkhVAQAR oJRQhAEhjDECoBSBSihGwPMIYUopRQghBISCNhdCASilAIAAYwQAGAPPA8cDz1O9AUkSCALwGHgM GAFQRAmlFDCHeB6rhKgqVVVOVVBMVqMxoihIViEapao6tESACAWgBBAGXsC8ABwHVOdV9J2qArKC KEFo2vzVCCG9NcWSnO3Kn4oQvj/blWEYhmEY5s+nRXe3h+L/GY+6A9HGLt+RsP64zPkpBR4hbE5y FS3aYLZngKC746kxDMMwDMM8UIpKQqEQUeTbF0XAizqDTqf1aT34ukaa40yaV9+Q06P+URW8vGiy Fsxfa3JmKxSorNx+QgzDMAzDMA+coqoDAwOBrgYU9WN8m8txKqHY5ExIcpuMRozxuNTlJIvNuTbU 0ue3vsebnS5dQrJKKSGsZ4thGIZhmImIUhoKhQLdTQaTOW1qqSTwty4fDEear1T6elr5tGydJI1X XUlvNhpnBMOHeYszA0smRSHXLxW52YQ0bJgXw0wyNzmoCVEH+1o50WC0pvx500SA4Mbht7efBiXB /jZKweTIGHliudnn95YSDQ32t+ssDp3Jep9mwTDMvaLIURry2POnEwrh2G2uyCHMW5zuvvrzarKb 0uvqhiK3vCyI0C3qhmMKJRQQGnV/ISUUEKAb6oqipNfnCh25PABQSumIYVuyLNdWXqI3H8ilKErR lAKT2XQHK4dhmPGnKjE60BWLDt74lSIr331u6ZXWvv3V3cbEpM88TYR5LJo4g40XpbuKugZ6W19a lQ8AfzxUZ3K4bvv5PURU2aj2f++lxduP1db5BkQ9O6cxzISGACGMeA7f4RU5juO0qIhSGq+rqqS7 qVbE6pjnKUVVsS7BnpYzZl1CaCwSjHhagdeZne74T0FVjkW8bYqimJKyOV4YWXf4zkg01C1G4VrT VUKA0mnTCqJjBY+CwNVfbVIUZWQVhmEmsoG+1h88Oy/XNTqcUhT13/+wpzA7zRMIKkr3XR3UI6dJ CR0IRarr2o9Vt/VF9Fgyjf7pd3NKLJyVagcAOVo5sgE3+/weIoQgNVqcnXbgTK1K2DmNYSY8LYgB ejcDoBAgRIGOqEtFpPzFk0vNRsONpZvbuz/8tJYMdTmNrqsSEuprfnnjwtbOvhOXuzmTE2NOVWJo sGvziqmhcGTLsSvWtNyRdbXUFwjBGP1bGGhRGj8jy9TW3j38MxXBcCINp92YoBr6Cb1FBxjDMBOK IBmr6jp6PH4AmJbvSnUkHi27HI7GVJWEIlGtTCw0MNDfiRAS9CZBMiIElBI5EoqFBxHCktHCCbqR QRRRFZNeQgCnq+oppQlmw/xpOfnupLd2l3dGMCfolFhEjoaIIiOOE/VmXtQjBKoix8IDaiwKCPGi TtSZ4ucRORYZ8HQCBUEyiAbzdZ/3dyKMJUMCL0iAgFJQ5Ug0NEBVhRNE0WDheAFAm/igKkcBKC/q JYMFYRwZ9CmxsM5ojUUGiKrqLXbMcdpyEVUx6VQAAAqUAjunMcxERikMdxrd0dE6MkwhhF6rqwVr FGquNo/qJ+N5nGg2UaBkxBfX1aVU0Jm7+vxzp+cjhI5Ud2K9VZC96xYVutOcR87VcqJ+ZF1KhyMs qsVbACNnKXJ0QZGwaVlGn0eMR1pxFlPCufP9Oy5DhI2vZ5hJQrI4D9T2qXJPJOj7xgYwGXSvf3xC EW2AgIuEAcBqMS4qduakO2OKWt3kaQkovM4E0UCuFRVPT4vJpLyhvzcs87oRV9woAEBXn//Vrad0 liSTDs3KbH/mkdnLprveP9aoqnKaUcnLTbSZdcGIXNXk6QjKnKiTFO/c3IRUW5KiktbegctdfqIo AGDQiaX5SQWZqRijq+2+i10e7VSp1wmz85zF2WnhmFJe7+mPKLxkUKKDdiEyY5otwSj1+MMVjd6Q akEImWhgRqYxzW7nMGrqDlS39UcJNztDzE51najtmDrFZtCJ+8vbYiDkOoSS6WlRWfEFBtHwqZTd M8QwE95dHq10uGuK0mt1KaUA/b6BbYcrdQkje/0pGezd/Oi8oXhurLqUAm9O2l/eoihK6bQ8gefP XmpbOS8vKz157/ELFS2DxsSUkXXJcOcUhbH6t4bywA6lbtV+zyKEr4VcN1ZhGGaC05ntANcumGFO MNpSAUDuGwCAqbkZmSl2nSRKIj8lp/+tPRUdgf6SVPGLa2abDDoAKHD3vbW3MiALHC9qU4hffeMl g8GaIivy2Yb+zJrGmYXubUdrqBJ5ftXCFEcChzHH4ZKcvt/vqezy9G1eXTJ/WjZGiFIIRaK7Tl7c 3nQVAFIciS9tWGSQREkU5gSC7+wrP9k1AACpjsSX1i8yGSSR5/Ndnb/fV+0PKcm66EtrprtTbFoD 8jPa3zl0yR+MbVqeN29KliQKGKOorHx0qHLfmSuFi+asnjfFkWgsyExp6/Hh83U5DvHldaVmgxRT VJUQjsMwdN5j5zSGmQRGdRLdoti118NHNwUg6tCNPrxkMNvTrpUhJBj1a4XVEdO/ri6hgDBnSjpS 00UpKZ2an+pMtCWaD56uvtAWkixJoy7+XQuWKOUBgBCqqCPuM9LuOUIII4wQolr/1rVOLkwBVEKU 293DyDDMREPI0GFLAVSVwHC+5F7vwDt7znb2Dy6dkfnkqjlOI25u71y+dqmsqH/afSrVkbB8bvEU t/XQJb9kGopy4ucUSqmiEkBcjEotnf2r5hZzQAZV7mxNk39gcDAcnVOctWpeSZK5ur3DNzUvvavP /9GBs8FQNCPF0R8kmBcBYCAU3nqwvLa5tyTT8dUnluanJR45HQKAQDDy/r5zDZ3eVbPzVs0vnpqZ uPv01c3r5qQ6Et7efaamoWv13ILlcwqn1nd+Wtle1+bp6vN29/udiebNj86dU5i+89OzACCJvE4S //fbB9u9UVWRX5idB0B/+cHhPn94/aLiZFsCaOc0lZ3TGGYSUFUSjd1B3lEAQimKn6OG68ZkRbuk SMj106E0/nksJo9ZN15exabTNa05rpTUJFvN1ebKJg/hrbHhJKYj6w7HW2P1b8XH0iOMEUJAKRqO vQDBtSH3bGwpw0w2I450Skb8ZLrc1FnREhSNtvOXWp95ZC7PISqHs9OdqY6EV55dBQAIoWSbUZF7 xfhPvWsvhs4hGIgk8jFFAcxFFbGj1/fI/OKcDGei2SCJgihgEExna5uWzy74ysalF660nL/Y0tCv cqIeAHo9A0eqOySbq+xq65dUVSfyWlaaPu/AmSu9YmLagfN1q+cXp9hMsZA/K9XmHwidvtSt6pwH zl5dNbco3WmmiGvo9D5amv3YomlOq9mgk/r9QUJUABgMR7d+Wtk8IHEmO/iacjOclxo7qtvDVDDt OVWzfE4hsD57hpkMtBiEUhr/6XgbFAAQAjR0j+FQ35WqBTCjpkMpue7zsepq5YkSM9DAuiVTrAnm K41tRbmuwVB0X1mLqrcjzI2a79CJBcXHb42Mt0AbSz90PZEiiq4bwTX8+EkWbzHMZHPdca69GRpb QCnCgDlZUQEADWd0qGvp3n+6JhqTEUKdPlnQm8gNQQmllBBVjYVtfGR20dTmzv6ois1c7Lk1SwSe +/TsRZ0kbFg2CwEigvnjoxcvNXbmZzhmFLpnFmb+aX/50bKu4RYhhHlFIdoPPg1CQ1f6OIy1znzt rAdo6ESG8FDWLznofezRRctm5Z2raTx4pnbDslnxwf2yojZ3ebE1lwIgBLx2AZEQBCieepBSuHHR GIaZOEYk+KOEkJCnHZGxe7kopVgy6SzO+DmPDg+oGgqrhj8kqnqtVrzw0KWAMeoSQihRjMS/cXFR dnrynuMVFfW9j8wJlU7L43lu99kmItm02EyrED+rYKTlg6DxU+/QLFVVJYSajQkjlnPo0Y0Ycaqq AkXA4i2GmXSuH1gAIzNl0RHfIgBBX9/Wm5VqCwyGrjR35bqSeY6nZOS5ggKAwHNGLooDTVnJiY8v mJaZ5vjgQFlA5p26WEay7dDZ2jPVDUtmF2pREY0GSqdleDzeQ2dqe7yBL21Ykptm/fRUeESL6Kg0 EvZE8/yCpIaOnpXzCiilnf2DgiGhob1v6az8JVPTy6+0r5pbQAjt6BsESlxJiYOh6MEztQ6rGeMR J+eRy8tJLV2ePFfyDHdLe69nyYw8zGHta/b0WIaZyCgAHurxAUIIpwSff2zumDkdOnr6tx+/TKgD w9DPR0rotbqUUkp5DksQVT0NI6ZPDQIAGhpTP3ZdQkigc8OaWZnpSQdOVZ2t94Pk2F/eSiiZOzU/ Jis7TjWICSnxuvGAazgfxHV3TQIFaOoJvvb21pstc1SWVXCxvneGmXRG/oAbdQgPnQeGU8CoguXA ubovry395rOrKIFwNLb9aNXlHp92+Q+Gx2/lupL+/W9e1CpFZeXg2UunrnqpYIwStbG9b+XcknlT c2VFpYSKPCeAPLfYleeaw3MYAA2EIo1dfk7QxSd441kl0Wx4ce08vSTyPK6u67jQ5JES045Xtxdm pjy/pvS5R0sBaFVde0WjVzI76tp68zOT/9vL64LhqFEvefyDghBPMQiUUoQQEcyHyupfeqz028+u iMRkWRnKeTjqNMgwzEQUz6FFCMaIu/mjDAmhlBCAoZ9w8ZPbUK4HSinA04/Ov3H6A4PhW9fFGKuE HjhVdabOR0ULAhTjE/acbeIwB1TrALu+LgAF4DDwQ9MYMTsZhEZUBGG4BQroVl8zDDMhcYL+YnPf YCiqcnrtGMaS5dDZS42dXk7QU4QGFW738apOv4wl06Ue5dfbTs/IcepEvrN/8EJLgJOM8XMFpzOf qGxoaO8BAEohGInVd/hq2wYVMQHxfEA2vnvgwszcpGBEbu0NlGQ6egZkqrd9dOTilMweu0UXialX 2701HWFdYuqJygaOw1gy0hHtkSxJJyobKq60tfUGctOsgWD0bF2vXzVgUdcRDL22/VxpQbLZIHZ7 Bs/X9w9Qo2A2H6joiMQUo8TXd/qSEg0YIZ3FMWp5KW+oaAnEdpwudttDUbmlJzAjN7nTLyMssGiL YSY4LUOV9vMoQnVvfnL+ZsEIEg2EUjz8Lb2h7lufrS6AItne2nUeiwbeYIV4RKWzfXT0MkIgmJNG 1dUKcBjQE9/7qS1/fjgcvSfrgmGYCU4ODxAlKprsw2MxSWygHws6QW8GAKIqsUGPoDdr/VhqLKJE g0AJ4kVeMmLuuge1xoJeosgAQ/fXcIKOk4zxzPJqLKxEgwhhLEhqNMRJBk40ECWmxkJElRHCnKjj JCMCFAt6gVLRZBvVnljQSwnhBEmNRRDH8ToT5gRt4kSJyZFBSlTMC4LOhDCvNV4JByhROVFPlBgF EI2JSiQ4cnkBAIAq0ZAaCwPCnCApkWB8eRmGmbgQEjnaX19myy0NRWJ3UoMqkUjXZWfB/Kisjk/d mAIAkUDvgOcX6Inv/dSWNz+eY5phGIZhGGYCEgUu6u8e9PXx5hTM87curMpRdaAnwZnGG+0xWRmv ugAQDfQGfb8YY/wWwzAMwzDMRBOTVSkhharKYN/V2z+kFaGEtEJOnxCTZUrHra5maPwWe3AYwzAM wzATHKU0Jit6u8vgcN1JeUJoNCYPDbEap7oajgPezvX4u+sVRb1FTYZhGIZhmIkgMtnqSsSfnBDl V0+3z1i8hBLlz2gDwzAMwzAMMxolaldT+fHLKm+1GIuzU4l6R0PuGYZhGIZhmDtEiSKGjCeuwE1z hTEMwzAMwzD3BIu3GIZhGIZh7iPK4i2GYRiGYZj7ilK4VdqultbW3p4+ALDZbdlZmc3NLenpaf5A QFXVJKfzQTWSYRiGYRhmEkNwy3jr57941efz2Wy2+fPmul0ZV+vqk5KTdu3aixD64ovPP7BWMgzD MAzDTGK37t/CGH/15S/PmTOLwxwANDU1l86ZTSgBCqqqnj1XdujQ4Zkzp69auVySpAfVZIZhGIZh mMmEArrV+C1FUf7/f/v3r3/jr373xlsqUY8cPR6LDaWNGBwc/PCjrXq9/uix461tbQ+ktQzDMAzD MJMPpehW/Vs8z7/yra9PnzZVFMVRX0VjsVOnz9ptVoPBwHLTMwzDMAzD3Awht7yeCADWxMSkJCcA xGR55OeSKK1etSIxMSEjPS01Jfk+tpFhGIZhGGYyI7fu33r6qSdc7gztNYfxN772cmJiwsL58wDA ZDJ++UsvnjtXJooSe9Y1wzAMwzDMzcgyuVW8NW/unPhrjuOWLl0MAPn5edonOdlZOdlZ97F1DMMw DMMwk19MpizfKcMwDMMwzH0kyyy/PMMwDMMwzP2ksHiLYRiGYRjmvqIj88tTSsNROSYr4z78HWOk l0RR4Ma5HQzDMAzDMH++kfnluz0D24/Wll/tjsnjmk8LgcUoLSpJf3RBYYJJP54tYRiGYRiG+bNd e151NKbsO3P1fHNEn1xs4AVA49gokGPhT2u7TIamNQuKMB7HpjAMwzAMw/z5hvNvRWJyU3vfFx9b KEmjU8k/eJTSgC/hzNlTJXYvJdH7MQuEsM6QmODMlvSW+zF9hmEYhmGYIfH+LR6UkoSupSWOCdKd 5PdG+2raJSlb1Nnvx/QppZGQr7etKjlzpiAa78csGIZhGIZhAACADsVbCFGLGEGAAIZHy4/LsHk0 FO5hRBN1is5g5PjbPHHoM+O4RH9va9DXlZiUe59mwTAMwzAMc238FgLACF8btkUJIcoDbw/CHA9D MR/FCAEllNyvwfsYIYSRHAvfp+kzDMMwDMNorvUeYYyBAoVxzAahPYlRawDFCFFKKSHj1x6GYRiG YZh7YDjeQnDjnYA+n99g0IuiCACqqnq9PrvdhhAaVSYhwRL/0Of36/V6VVEMBoP2SSgU5nkuFA4n JiTcQXsoDHeyITzU0QUACPP3alwZpZRSNf76Hk2VYRiGYRhmbAiNyC+PEB6Ob4ainJ/9/Jdv/f7t SCQCAJcvX/2bH/59X1//qEn8xy/+s6q6JhQKNze3KIpy8ODhs2fOvfHmHweDQQCIxeRt23fu3Xfg wIFPBwcH76xVNH49kVJCKaWUIgSA0L35Gwq5KKUUxrMzj2EYhmGYhwICjIdfoRv7twKBgeMnTnV1 dYdCoeMnTtbV11NKr16tu3q1LhaLHT16XFXVYDAYHAy++trrP/ibv2toaDQY9G63SyVqdXUtAHR0 dLS1dxQU5BuNBoRwKBQ6euzElq3b29rbL1260tTUrCjKlSt1hJCKC5WdnV0kfvWQUowRUDr0BzAw GDxXXj0wGNS+7+v3nj5XGY3GRja4vqGlvqHldktNr02WhVsMwzAMw9xnFOi1/i08FHtd6/XBGBcU 5O/Zt7+s/EI4EjGZTABw8vSZk6fP+Hz+115/QyUEAGRFiUSiRFVlRXn7nfdEUczPy62pqfX7/Zcu X7GYTRkZ6W+/814wGKy4ULlr997aixd37Nx95uy5o8dPnDhx6tVfv15Te3Hb9p2tbW1a95P2hxCm QCklFCgh9PS5ypNnKvo9vnfe3xEOR7btPNjS2oEQUhRFVhRCKACcOV915nwVACiKIsuKFr1RShVF lZWh5xRRAErJ0B8LuBiGYRiGuc8IoSPHb2GAeKxFAQBjPHVKybYdO8srKpcvW2KzWgEAIaQqajAY jE/FaDCseWSV3+/Pz8vTas2cMb2yqrqs/MK5c2XPPvs0P5zToaWl7djxk9bEBIfD8ewzT50/X15V VVNQkP/Ht98VBMGaaEWA4iEQxggIpZgigMbmtp/98i2E0PnymgtVlz49cqaq9uqs6UVpqUlbt+83 m4xFhTlPrF+tVQwGQ7/9/YdX6pqmlhS88Mz6zq7eN/64xWIxLZo/a8nCOQjotWFbbPwWwzAMwzD3 38jxW2MMSbcmJpQUFXo83qklJVpA5rDbe3p69x84FA5fy6QgSZIoil6vV3ubnJyU6XZ/+NFWo8mY nZUZL2a321auWPryV770yje/5na5amovujLSH3/s0VgsFgqFLBbzcEGtfwtRrTeK0uzMjHWPLd+4 btXf/vXXS2dN/X/+7juLF8x69um1Br3OHxhYvHD28ZNlwWBIq2ww6B9/dNm6NcvPllW1tHWGwpGe 3v6li0o/PXo6MDAYn/7InjyGYRiGYZj75Pr8W0Pjt66FIPPnzU1LT9uQkuxyZeTkZK95dLXRaFiy eGEgEOA5ftXKFRzm5s+ba7PbkpyOBfPn9vb1aWUQQsuXLfH5/atWLhcEQVVV7fN5c0v7+vouXKgk hKxeveKJjetLS+e4XOnPbn46MBBISLCMyLYK2vgtSikCQAglWMwA4LBbOYzt9kSDQa99YjGbstzp KlHj7Q6Fwh9+vDcUCnd198myAgAZaclz50z9/TsfK4oCI/q3WPcWwzAMwzAPQDz/FtK6r0ZGIE89 uVF7kZ+XCwAvffEL2tvnn3vmxjLr1j4GAFOnlGhvU1KSv/WNvxiaB8/H677whefidZ9/fmg6CxfO 016MmPvQ/YlAhpLOcxwmhEqSmJvjPldWzfOcVq65teONP24pyMs26HVaGUKooijRWAwjFIlEdTqJ 4ziMsMBzoEVb13J6sYCLYRiGYZj7C12XfwvFx8uPo/jcKcYYKAEEABiArlq2AHPYZDS8/NJTAODK SHXarZeuNLoyUl96fpPDYdXrdVoZo1H/za8+19HViwBys90ch52OzTzP/dfvftVhtxJVBhiKt1j+ LYZhGIZh7js0Kr/8+KaXh+tG6w+N36JUC48cDqv2ndNhixc36HVTivIKC7K1t/EySU57kvPag64z 0lMAICfbpU18RJjF4i2GYRiGYe6zW4/fGg8j+7cQUKoNslKV2Jilc7NTM11rFTly5zMgqgLs/kSG YRiGYR6ga+O30A35TsfP8P2JWucWBTlyq9z08md9svZ49+YxDMMwDPP5hwCNup44USDEIYQUJTZm lop7haiqIkfkaOj+zYJhGIZhmIcLAow5zAkIxZ/iE7+eiJDAc5TI49e6kZAgmY0Wx+CA7/7Oh6IB T0cw0Ht/58IwDMMwzEMDISSIhkRnltmarn1CEb3Wv4Uwh7AwQUIuQTIVlj493q1gGIZhGIa5O6oS 9fc1+PqaBNGgMybCdfkgJhw6QSI/hmEYhmGYO4cxMiemRQb6Q4N9WryFMUygMVsMwzAMwzCTH8Kc AECIOnRDH8exeIthGIZhGObeuv5mP57/rPFWLBY7evS4qqp3W5FSum//wfizpRmGYRiGYT7fOB5z X3x+Q17hTFWO+Pua7amFqqL856uvBUMhk8m0Zev23bv3mc3mK1frPB5PgsVy5uz51JSUPXv3vfra b3/xq18nJSf19/W/8eYfampqnQ6HxWLR6uoNhg8+2HLufNm582UzZkzr7Oz649vvnj9flp6etmff gX/65/+hqIosywcOHEpKcm7bvrOkpGjrx9uNJqPH6/v9H94pK6vQ6w0Oh11LBhEMBl/99es1tRe9 Xp/b7erp7f3N62/u3X+AUkhLTzt79vwnu/YcO3HS4/F8evhoX1+/25URjcYOHPz0vfc/kiQpOTlp QqW6YBiGYRjm841SEvR1YF4ymB3e3pbyq0dGByIqUY8ePylJUln5hbr6Bqs1cduOnS0treXlF/bs 3f/Ou++fOHnqzJlzhQX5+Xm5s2ZMd7tdixYtkGX542074nUrKi40NjXxPH/w0GFC6c5de3p6ez1e 7559+2dMn5aWmjJzxvTGpqbu7h5ZlvfuO0AIPXP2fG9Pn6ffc/TYcZvNtn37zr7+/p6e3lgsFgyG 9uzdr5Okc+fLW1rbLGbL/HmlxUVF73/wUcAfuFJXV1lVbbfZ3n3vA4NBf/ToiYbGpta2tl2795rM po+37xgYuFWuVIZhGIZhmPsKjTleXuD5rCx3f39/SnLSvLlzWlrbUlKS6xsajx47sWzJ4q0fb4/F YjNnTDcajS5XxuUrV3bt3nfs+Mn2js54XY/Hm5aaOmf2LF7gAaCpqfno0eOVldWRSDQz051oTSwq LACAtLRUvUGPMQ4E/KHhK4zZWVnr1z1+5WrdpYuXf/h3Pzp9+iwA2Gy2jRvWez1er9fr9/v37j+w e8++igtVhBAAmD1r5soVyyiFTRs3yIocDAZDwdCJk6ePHDnW19d/XzOmMgzDMAzD3AalY+eD4DDn dmds37Grta29ID8/IyO9pbnl0UdXr1yxrLq6NhqL2Oy25OSky5evtLd36vW6woL8cCSiKopWNz09 7XxZucfjjYQjADBr5gy9Tud2u2bOmI4AFRUWXLp8magEc1gSJbfb9d77W1rb2rRZY4xFSVRVtaio 8D9/9TMO4/5+DwBIOokCpYQGQyGv11dSXNjR0RmTY0CBF3hBELQyCCGgYHPYHl/zSEpKcmamW6eT HtDaZBiGYRiGuQEFGD1+C6ia5HTk5eUkOZNMRoPdblv7+JrkJKfLlTFvbqnT6XC7MoqKCnOys3Jy sjHCM2dOBwCTybRo4QJXRnpyUlJeXo7dbpckcWBgoKe398lNG1yuDISQLMdSU1OSk5PcblcsJufn 5bky0lNTU3JysjiOK50zu6Aw32azJjudGelpWhtEUcQYAyCbzZqfl5uQkJCZ6UpOSnI4HNFobN7c 0qlTShITE1wZ6Xa7fWSZJKfTmeQIBoMWiyUnJ5uN32IYhmEY5oEZNaX6I/sAACAASURBVH7r3JUj 6JMPf/XYppejIV/zpcP5szbdkyyjlZXVr//urYGBgUUL5//FV7/Mwh2GYRiGYR4ehMjdjed4yexI K2qoPfarj39yX/LLl5QU/ejv/5ZSMBqNLNhiGIZhGOZhRsj9eZ4Pz/N2u/1+TJlhGIZhGGZyIeQu O58IoapK7tG8CaX0nkyKYRiGYRhmwlIUenfx1qXLl1/99W8AgFLq8/lvUdLn8986nKqqrjl3vuy2 02EYhmEYhpnUFHmsfBDhcLipuSUSibhdLrvd1t/vae/osNlsqSnJ4VC4pbUNAI4eO/HmW3/84d/+ wJWR3tTUAgCZmS5AqLmpORKJ8gL/69d+u2Txwief2CSKwpjzTklOjsaiY05Hr9dfvHhZkkRFVY0G g8/nd7tdkiS1t7d7vT6rzZqV6WZZtRiGYRiGmRRk5YbxW4SQj7ZsO33mbILFsnnzk3qD/vd/eOfy lavJyUmvfPNrWhlFUcorLlRWVV+orKqvbzh06AildO3aNcFg8KOPPk5OTrbZrRUXqkRRXL/u8ZvF W/v2H1RV1ef33zidxYsX/uM//0tRYYHf7zcZjTzPFxUV5uXmvPb6GyajcdGiBZluF4u3GIZhGIaZ FIh6Q355VVUPHzn24gvP//gf/37mjOmhYKi6pvavv/+dYDDY1d2tleF5/oXnny0uLty0Yf3Jk6fr 6uubW1uPHjthMZszM92Zma4XX3h+0cL5X3j+WaPReNN5U4IwGnM6AMBhvGH940VFhVab9QvPP7P/ wCFRFDMzXQ6no6S4iAVbDMMwDMNMFnTM+xOdDntbW3tmpsthtyOEBEGoq6tHCPMcryqqVgYhpJOk UChotVqnTCmeWzqnsLDA4bBLknT02Ik9e/aZTCafz0cpvXVsNOZ0AIDn+Uy3++KlywaD3mazxWIx lztjw/q1p06f3bFzV15ejpZQnmEYhmEYZoKj9Ib+LZ7nn3pq08mTp//xx/9vefkFs9m0auXy7ds/ mTql2OXO0Bv0mZluADCbTStXLD9fVrFu7RpKYdfufY2NzcePn3rzrT+GI+FFCxesW7umtbUtGArd bN52my3J6RxzOgBQXFQoioJWBiGUl5d7+fKV37z+Rt3VukWLFvD8fUljwTAMwzAMc89RCmPkl6eU KqoKlGLMcRwmhKqqgjHmOA4AFEXRwh0toQPGWFVV7QVCSFVVANAKqITwHHfzeVNCCMdxN06H4zht LvEysizzPK8oijZxdj2RYRiGYZgJa1R++R+/ekN+eUoJUMpjBIAAKCUqAuA5DACUqADAYaS9QAAI AVDCDRUGAKqVBEoAgENDVW4GI9CmP2o6lKjxuWhleA4DJfGJ31XeLoS54UWjlI6dPAwBQiNSkRFC 7m4eDMMwDMN8fiGEOIwpIRTGDA+Q5ubVbxi/1d1U3t7R8rmJNSw6nD3tUUE0EKL2dDZ3tNYHB3zX ryyKETYn2Nw5U632ZO2j6pqLR4+dZFctHxhFURVV0UnSeDdkPAUGBswm88PcdRuJRnmOe5iPO0oh FA4ZDIaHeC+AYDBkMBge5gOBnQ9hQp4Pk5Kcq5bN72ir8/R2qKoy6ltJ0iWn5WRkFvCCeLMpjD61 hYKBjy6aeiI3va9wEsGIbs5tyaYAAP09ba1NF905MxPtKQghAAqUEFWmVJWjod6ult6uJkFnjkai VmtCIDBQMmXarFkzKbk3yfSZW2tqbrp48fKG9etv3IkfEoqqvPvu+5ueeFKvl8b+7fQQOHX6tE6n f5iPu0AgsGv37uef/wLcpCf+YfDxtu3z589PTUl+aB9Aws6HE/N8GIsGm+sv6AzWWQvW8YIIQAGA qDFKVKLKwYCnubGG43BGVvHNerluuJ4IEFb5oHLTAG0SwYiodGix25ouOpxpyek5HMcDJdr4MVUO EaIIvDElzRWNhmsvXuno6F77+GoAkERRVcKxaGRcl+BhocgRnucAlEj4IX3YgKqqlKp6nRQJBWDi nGAeLKJGJTHhYT7uYtEgJVQUcMDvHe+2jBtKZJ1OikYHyUMbbbDz4YQ8Hw74egYDnoKpS4xmGwAF SgGoKmNCZEqwIDii4dSW+sr0zEKExh65PlbX/c3HOd2MiW/PMu7AoCpUXzf4VIwkfoaFuQ+uXTlU CU2wuzhegPhvphE/nkRJJ+lNWciSkpKm05uu1X5Yf2A9aMPr+aFd4ZTG91X6EK8E7X8P924AQB/i AwFg5HHwsK4Edj6ckOdDQqioTzCabdc+GtE2hFCCLUVtqL9ZdTRmvHW3+7mJb1uZV7ZmwdcxFiPR wa1H9p5tX0iGnxSkUr1C9XcxuXtn1EKMHBGvxMLhwV5Jbxka6A8IEEpy2hHCQGIPsI0MwzAMw0wC CDAgpIVZlCihgR6MOV4YHmmHbvNA6rHirbsJqzFSZjk/3LDs+zZbH4AKoHtmZWn6udco1QMAIbEL TY4LvU9LJqskcG6nCSFQVNLjjwyG5TtfyM/mJjcRgBIL9bSUDfq7EhxZCXY3wkMx12AwpI3fut8N YxiGYRhmkqJE9fc19rVVCTqTPbVIkAy3r3Pj/YnalIL97f72y6PGbCKOs2ZOl0y2kWPBKKUCCur1 ToAWAAIQTkvDT234PkAOAASDndX/8yedl05nlT6e6TR97bGiq+1+hKCtL7inrO1+51wYM96So8G+ tipAnC2lKDTQ7e9rttgztCUaOX6L+Tzp7/e0trXNnDH9tmVmTJ927NiJOaWzDfqbdsqWlVU0NjVp r2fPmpWdnRkOhysrq5OSnNnZWfekwbIsl5VfKJ0zm+Nu84PpFm2bNXNGY1Ozz+cDAITQqpXLExMn yIX+e+D+bdPP93oDgMbGprLyCu11dlbW7NkzCSE1tRcVRZk1c8b4tu3BkGV53/6D4XAYAARBfOSR lQa9vquru6qqZvGShbfYTz5PKKUHDx0e3s/xksULz50vG14nwiOPrPrcrIf+fs+Ro8cJUQHAbrdn ZKRfuFCpfaXt/3c7QUpJoK8p4GlNTM6Xo4PenvpEZ9adhFw3xluUEkqUmKfh/BSXZc2jj+h0Op/P 9/G2HX3gsLqnjrqemq4/JKGW8+f/leM6hycw9B+HY2pysgsAKFEpJRRofaf/zQOXp2balk5J3Vve uqQ4+XK7DyOUl5pw4mLXxvmZoagqK+qJi92pNsOComQeo2O1Xc09A3e7Oq4tyw0hlypHJH2C2e7m eVFvsoYG+uhw9rCsTNd147eYyYNSqqoqANICFFVVKQWOwwghRVFb29p27do7c8Z0rRilwPMcQogQ QgjBGGOM2zs6du3aO6Wk+MMtHxeXFOl1OlVVEUIUgOc4VVUJIQjheAAUCoUrK6utiYlZWe6m5pZ/ /9kvN29+Ijs7654sjj8QePud96ZPmypJIsbxJaIcxyGEtKW4bdtMRtNHWz6eP39eQoIZIayqk+yW t/HaphNqvY3c7qpKAKiWIzq+jDeUGVoonue07NOEEEEQCCGqShACbjgHtaqo1bUXfT7/7Nkze3v7 Xn/9TbvDPgHjrfjeHk+4rb2I7xsjjwiO4yiliqJqS6plzAYAbeUoiqLtQrKiaNmzOzo6m1taly9b EuO4/fsPfvjRx7Nmz5hQcQalVEsDDgDaMsa3Y3zBta2PMVYUJZ4z3O8P7Nt/cNPGdYIgKIqKMMII jSwDMLQzeL2+6ura1NSU9977aO3aNTzP8TwvTLC0LPFthzEePjMAxhzGo48LANCSpQ+XwRyHKSWU Ql1dfW3tpYKC/MrKqs8QZsVRoqpqzJ5aYrAkydGBgKeZqCq64Wk9o4yRf0v72OhwZS56drDjXEJC 4tKlS7Zs26Ek5rnyl4om+6g+KZt0Zcn871utPoBMAAAVoA9Ags6u9n/5lwPf+MZCLTqjFCilU9y2 Hzw1XeS5I9UdikoKMxK7vCEEqMiVePJS94xs+9mrvUZJKnYllritJr149kpPnz/ymXvBxqwnGRJE vQVjTCkRdRbtyislCgCw8VuTV119w86du2VFfmbzk3JM3rJ1u8/nX71qeVp62ie79oaCQe0oraqu 2fXJXo/X+/TTm+bMnnXo0yOffnqkpKT4ySc3jppgZ2fX1o93yLIciUT+619/98TJ03v37rdYLBs2 rJ09e+bs2TPr6hsGBwanTCkJBoPl5RUpKcn3don6+vp/9epvEhMSnn3mKQDYu+9AWXnF8mVLVq5Y 1tvbd0dtm1q8e8++JUsWOh0Og0EvTbZ0PuO2TSfMehsYGNizZ39ZecWSJYsffWTl8ROnKiurnnvu mZrq2kOHj0ydUrJp03pVUeJl5s8r3X/g4NmzZTnZWZs2rT985FhXV3d/v+cHP/heT3fvu+99gBBa uXL5ksULs7OzPB5vb2/f0qWLZVk5dvyEw2FHtxt98uBRSs+cPb93736bzfbcs0+Lkvizn/1y3drH LAmW+L6RlZkZL/PsM081NDZ98skeALr56ScGBoPHjp1QVbJgwdwFC+b98Q9/qqtvKCkp2vz0E5s2 rldVdcuWbQX5+QaD/sqVq6Fw2GC4g6tCDxCl9OrV+vLyC08//YTH49m770BJcdH2HZ/Et2NrW/uO 7Z+0tLYtXDhv44Z1W7duP3e+PD097YknNnz44dYtW7fLsjxjxrRdu/YCgM1m/fKXXoyX2fz0EyuW L6WUnjh5Wq/TpaYkm82mFcuXSpJoNJoEYQLFW8FQaOS26+rq+f0f3jYaTQUFeevXPXbi5OnKyqrn nt18vqyiqqp6cDD4lS9/0Ww2vfX7t71e39y5c9ave/zpp56IRqNvvPGH6dOndnR05ufnrVi+TJRE 42fa4pjjE5y5HMcDAMcJFpuLqspt76NEMHZERgEhgz0D0kpf/dOuH/34J+/trzDlLRFNNm1w18i/ sJqiUCkKWU5nTlJSTlJqTlJqTpIlx+7MUuXQ5cstkUhguDBcbPX8dt+lmhaPZzCKERBCRR6bDTwC AKBRmZy72hOKyg6L7nht10AoNsVttRiFG2d6N383LDPm8XDGeYS07PNDxQaDob6+/oc25cmkdujQ EVVVKaGHDx+7UFkNAI899sisWTOOHjme5Xbl5+VqD4zatm3ntGlTfvCD702fPm1wcPDEiVOPPrK6 vr6xo71z1ASrqmswQsXFha2tbQAwbeqUjRvX6fX6Awc/BYBYLFZTXet2uxwOR1V1bTAYmjXrHncM 6HW6ObNnNre0dHZ2dXR0nDtXlul2Hzp0OBgM3mHbkpzO1NSU13/75r/+r59+8MFWvz9wb1t4v43X Np04662jo/NqXf2aNY8cP35ycDDY399vNBoRwIGDhzLdrvLyis6OzpFlmpqbL12+Om9u6eOPrxkY GGhqap43t7Snp5dSmpnpevLJjTk52bt27dV6RMrKK0xmU3ZWZlNTc09P78KF8zGeSMklAQBAVdV9 ew+Uls6mlF6orJJluau7x+XKGLlvjCxTVl5RcaHS4bBv3Lg+M9N98OCnM6ZPkyTR5/MZ9PpHHln5 6KOrysovtLV3AEB7e0e/x1NUVBCNRi9UVhcU5Nnttts26UFCCJktJp/fd/Vq3YmTpw0GQ35B3sjt uG/fAavN+r3v/uXqVSs5jlu0aMG6tWt6e/uqqmqeeGLDrJnT1zy6+uiR45luV1paamdn18gyFRWV AODz+evq6guLCi0Ws06v+7ef/se//fTnO3buikSi473014zaduFIOBAYWLBg7unTZ4PB4eMCoTNn zi5aOD8YCoYjYYfDvnHDuoUL5x08dHgwOAgAFy9e5niupKTY6XRUXKj81//509de+11NzcXP1CLE 8SLE77ZDGGF8s/Hi1+qM2b9FtbwSgAy2dEoWVTZfcBYulsw2AHRjV1NdYN22Q/9LNn/t715AfJhC CEAGkCE1krp5nfv/+/nh3FwZ6Aqtj0tWSJcndKiyY+mUlMGI3NAVmJ5tl3gOIW2EPo3JKqEUI2TS Cf5gLM1usBrF9r7gZ1ojQG86Yn5sbPzW5BUIBOrqGzLS05KTnIsXLzxx8vSpU2eA0lA4nG+zEUoa m1sohXA4nJGR7rDbMcahUGhgYNCd6cLHkSyP7tSMRWN6gz4lOVm7rfXY8ZM1NbX9/R6rNREAOju7 6hsavvTSi5SSPXv2G40Gr7cZY7R61Yp7NdZHksRMt0vgeVmREUB9Q6MgCOlpaaIo3WHbBEFYt+6x JKfT5/O9/ts358yZlZBguSdtezDGa5tOnPWmqqqqErcrIybHtFEcCQkJPM83t7QRQu12uyRJ0Wg0 XsblynjqyU2HjxzdvWdfaeksSmlGRpokiQBw8dLlXbv2UUo8Hg8A+Hz+ysrqTZvWC4Lw6adHenp6 I5FofX1DY2NTdnbWuCzsmCiFYCiUkZHe3d0zPLSIt1oTR+4bI8vIMfnJJzYePnz04KHDoiCEw2GX K6O9owMAQqHwtu2fhMLhnu4eWZZlWa6qrklNTUlJSW5ubjl9+uyUKcX9/Z4zZ849tubRux03ef84 HY7UlJTjJ0729fd/+aUXr16p27X72nYMBkPp6enOJKcoCKpKtu/4pK+vv7OrKxIJJ1jMGGOz2XTt eGlqHlkmHAlTSpuam2OxWFFhgV6ve/krL6WmpNTVNbzzp/dWLF+i002UHvFR2w4AzGaz25WhElWL SbTjIhgMutwuo8EIAJ1dXVu2bgOEuru6KaXhcPjc+bIZM6aZzaaiosLvfucvEyyWnZ/sPnz02LRp Ux7MUlA65vVEuJZ/y+BwGezpgLAWD91YVAWuaWBlMjp57PSCZVky8AAygAcAqMuVn59/5uxZIhVQ SkmHJ3i0ppNQ0hcIHa3pMEjC6ctd+WmJ4aiCMSKE7DjTNBCO1TR7MEJmgxCJyScvdl1p991tMrBr i4GuNZgQqC47rDOY40l+KKWUKJRSAEIpTU51Z2W62fitSWr+/LmyokiSaLVaL126Ul1dqxJCKJ0x feqhT49gjHU6CWO8eNHCj7Zu27vvwOOPP5qdlZmbk/2b199w2O12u723tw9zHAAIvAAA2dlZZeUX Ojo6o5EIAIiCEA6FtZFD0Wj01KkzRYWFdruNUlixYml/f39FRdXwCJt7AAEMDAy+/8EWURRtNhvP cUuXLAwMDNrsNkrpHbaNENrY2Lx3z/5QOJyWlpo42W68Ha9tOnHWm8Ph0Ot1v/7N74oKCwwGPcYc pUSn061YvrSnt9dqTdTpdKIoxstEI9EzZ856Pd709LSkpCSe599970OP1wcAHOYURYlGo4qixmKx 82XlmW6XKyMdAObMmWVrsra1dXATbMgOAGCMSktnv//BFkkU58+biwB4jofr942RZeaWzikvq2hq bqGEYIxnzZyxZeu2nt6+FcuXEEoURYlFowihaCTa09Pb2dm1csVySZKSkpzLly9RFFUlJBqNTqh+ Pp7np0wpPn7i1PTpU51OR29v38jtOH9e6b79B6uqqueWzlm2bLHBYFCUbqA0FpN5ns/OziqvuKAd LwghURIB6MgywWCwqqpmxvRpJpMxFAqfO1vW3dMTiUSmT5+qn0iD2EZtO1EUW1vb3n7nvbzcHL1e N3xcSG63++23321paQUAnuMJobFYlBf4aCTa2dHF83x2VhbG2Ov17d23f2BgEAAWLVpwVy3p6mw6 dXjrtVSBAIQoQMlQPCHHotGb9gvetH/r+lK3ivQpxd5YYY7yp7Izh9quqMABhIcCsxAdtNnCdXUw pQAAIBCK1bZ4AIAQ2uMLA4QBoLy+Nz6pysZ+AGjrG9Te1jR7brvwtzFiQRqDDr8iGjgjoUAoJYTK CiGUkKEVBVOstlVs/NakNbd0dlpqSiQSSU5OJoQYjUadTpeRka6qitvt4nleEEWOw8uXL83NzVEU OSMjw2AwPP/85q7uHrvd5nQ4LBbLS1/8As/z3/6rb9ptNovZ/OUvv+j3+d948w8AsHTp4uycrGg0 arNaeV5YtmxJYmKiNuZ0xfKlALBi+TKOw/eqc8tisfz3H/5AkiSDweB0OhBCzz77dH9fv8FoNBj0 BQV5d9I2SmHpkkX5+blEJUlJTpvNek/a9sCM1zadOOvNbre/+MJzPr8/JSVZp9MtW7qY47DBoH9m 85MdnZ2iIJjNZp7n42UMev3SJYsIIampqWaz6UsvvRAMhrSLp8XFRZYES3AwKOkkvV4/Y/o0SZK0 oWna2LVwOOLxetPTUsdrYcfEcdyjj6wqKS4ymYypqSmU0le+9XVBEEbuGyPLJKckWyxmlys9MTEx OTnZ7c6YPn3aseMnAMBoMHzly1/s7u4GgKysLEEQNqxf63DYASAxMfHpp56glM6bOycz032LRw6P C7fb9ZevfN1qtYqiOGo7zpo1Iyk5KRQMOZ0OjuM2bljX3t6uEpKelmYymV584TlAYNDr3W5XY2Pz ufNlo8pIkm7limXJyUkAoNNJ69Y91tfXhzFOSUnR6XTjvdzXjNp2DY2N6Rlpzz272W636fV67bjQ 6/UvvvCc1+t96/dvA0BSkvPll1/yerw8zycnJ5nMprS0VK0nOyvLvWnj+sHBoMFouKsdfkDRVQ5k u+1ZhFBCKaFUUYmiUkqpFkioioIj3pV07JjpJvHWXWZ0jaiJhy6/fOXwH4k6ai5WAKs5BURj4rik iKUj7k8ME0mRnGHeJKtUpVSlJAqqSohKCFEpRqDyJpZ/a/LS6XS5uTnxt0lJzuGXYl5ebvxzo9FQ WJgff2uz2Wy2oREber0uXZ8KAFlZmQAgimJ2Vma/x5OVlYkwNhoNhQXXKqampoxqwL0d+SEIQnFx 0chPUpKTU5KHhuTfYdsQgsTEhMTEybo/j9c2nTjrjeNwampKvGHxfcxqTdT+5dCMLFNYWBD/PD09 TZbl4uIiQRAkSczJzop/5XQ6Rs0rvq4mGovFbLEUxt/m5eXADfvGyDIuV4bLlaG9TkhISEhIaO/o 0G7fczodIxd81D0uCCFtP5loBEGIN2zUdpQkaeTbUfutFk0CQF5eLqXQ1d19Y5n4urpx/Uwco9qm 1+mLCgvy84dOAvHjwuGwOxz2/Pw8vU7PcVxGelpGepr2VYLl2pAASZIyM92foRkqxWFsjYkpUVlV KVVVGgNVploUQQihIkeoEr75Uoydf+uGLq7bEewzip8oudm3COFxycg/avQWHc4PoSXQJ1qOCgrx NGBs/BYzit1m+/ZffZPnxn4Y1viayG2byB6q9SYIwiuvfP0hWdibWbVyOSET5Zkw4yU/Pzc7eyJG k5/BrZflpS9+4X73UA5HDtofjb++tbHjLXr3z08E0G70u6nPPAbrzzFy/NadYPm3mBsJgjDeTbip idy2ieyhWm8PebAFAAghjptYlwjHBT/xxud9ZrdYFownyr0Oo3DcWPFWokkMoetuTBgcDAqiIIni g2rYvcEhelcHGcu/9ZCglEZjsWAwaLNaEUKyLAeDIUJUSdIZDHqP1xu//G232bQ0iQMDg4mJCeM1 sENV1cFg0KDXa4krw+FwNBrFmDOZjDFZDoVCWjGDXq8oSkweelJWgsXyuQksKKXhcERRZIvFAgDR aDQUClNKtfxYHo9X68xGgMxm88BAQNt+giCMvI4w2cmyPDgY1PZDVVWDwZAsy6IoGAzGYHBw1HYn hAwODur1+s/NPgAAlNJgMIgx1hJlhcPhcDiCEDKZjAAQCAxtd1EQtP0kHA7L8tA+8/lw5+cum9Xm 9V47Lmw260Qbl/aZTdLzIebQ6HiL5/D3n5yms6SN/HDnzp16HV61evkDbNs9QInaUXMXg+7Z+K2H RL/Hc+jQkYOHDv/kn35kt9sqK6v37jvg9frc7ozHH1+zY8eupuZmWVYCgcA//P0P8/NyL168/PNf vvr9//Lt4qLC20/9XiOEnDx1ZsfOXcuWLl639jGfz/fhR9vq6uoNBsPSpYswxls/3g4U/P7AokXz /f5AXV29Tq8DgBe+8Nz8eaUPvsH3Q1NT86FPj165evWff/wPHMcd+vTIyZNnwpFwcVHR8mVL3njr D4FAIBKJAqUvvvj8L3/1a21oTl5u7ufmalowFDp69Pi27Z989zuvFBcVtra2bdm6vau722a1Prbm kYuXLp8+c5aoxOv1vfyVl1avXtHZ2fW/f/aLlSuWrVv72Hi3/Z4pr7hw8OBhSZK++51XotHo9h27 yisuIECzZs0oLip8480/KKoSHAympqb86B/+OwV4/4MttbUX//mffvS5CTrv/Nz1V3/5zV/952vW xESEkc1m+/73vm2xmMe7+ffA5D0fojGvJ5r1osl0Xf/W7GlFhBCraaJk47hDlKg9d5NGhY3f+hxr bGxqbmmNxWJTSop7+/oikUgoFNJ+/PE8//RTm2w227vvfXD1at13vvMKJeTixcunTp9JsFgGBgar q2vieV8eDFmWjx49wfFcYkJCRkZ6XV29JEla/iGEUElJ0eanN126dGXX7n0/+ocfLl60IByJfPTR x9nZWSdOnPrWN782dWoJAOBbXuKf+MrKK8LhiCzL06dNra9v5DgcCAwAAAVITEj42te+jAC99pvf LVww9x/+778FgMOHj3V1d+skafq0qf/Xf/u+NpFJHWz193vKKy4ghDIz3TpJ6urqBkq1/ZACrFi+ 1O12HT589PiJk3/5yjee2fxkd3fPjp2709JSFUWpqb3Y2dGp7TOTF6X008NHeZ7nOW7KlOKGhiad ThcIBACAEJKcnPTX/+Xb/f3e13/75iOrV/yPf/kxIeSjLdtEUcAYX71a39LS2tf/Z9/nPt4+27nL YjbbbNZ/+cmPtUzxkzri/HycDxG6oX9rTNqzuv7MmVFKuruPNza+BwAmU1ZJyXc4bnwCOKrlgRhK BXFtjBcbv/U5VlZecfr0OZcro7m55asvf2lKSfH5snLtqxkzphFCmppbACA9LY3nuHAsVl/fkJWV abNZa2ouBkOh4uIH2rPlDwR+9+bvlyxe1N3T89WvvPTyV176CgXlkAAAIABJREFU8KOt2ldWq3Xx ogXBYKi5uSW/IFd7jFpba7vP5589a+b58+UffLT18JFjxUWFixcv1K6zTFK7du0VBEElxOv1PfXk xr7+/vKKCwDAYbxgwTxFUSorqx0Oh8ViEQTB7/c3NDQuWrQAIaira/jZf/zK7rCvXL7U7XZN3sso 7R0df/rT+3PmzD59+ux3vv2tl7/yUmdnl/ZVdlYmzXT3ezz+QCAvL1d7tFFLS6tep8vJyW5v77h0 6crChXeXW2gCUhTlT+9+MH36VK/Hhznumc1PVlZV79y5GwD0ev3yZUtisVhFRVVhYb4k6QRB6Ojo 7Orqfv65zZFI5NTpM7Nmzejp6b3tXCa4z3bucjodXq/vl7/6tclkWrpkUVFRATdpf3t8Ts6H9HZP WNR0d3c3Njb+mbPq7T3T2bk3N/fp3NynTaaUixd/Hg53xf9U9cGNmmpvaag8d7y2/NSlilO+vq74 50lOe6YrhY3f+rwqLi5c8+iquvqGUdlJZFm+ePHynj37ZsyYXlRUCAAdnV1d3d3Tp02NxWLHjp/M zs7S6XQej/dBpjVJsFg2bHic5zh/4LrnyRBC+vr6t+/4hFBYv/YxjHEsFjt2/ERp6WyTybhp47rn nnm6dM7squqac+fLHlhr7weM8bx5pUsWLWhoGH3yiUQi586VHTtxctXK5cnJSZTS2tpLBqPenenK ysr89re/tXLlckkUt2zdrj2zdvJKS0vbtGm91+uT5eueM6aqamtr29at221W65LFiwDAHwhUXKic P38uz3P7DxxKTk4ymYx+/8C45OK5hyRJWrVyeVaWu6uza9RXgcDAwf/D3nuGx3FcidrV3ZNzxkQA g5wTARKJAEiCOUgUJVKJWkmWbNOWZFvS2usNd/3sZ3vlsOu712Ety7KsRFKUKFFiTgBBAEQkcs5h kAaYnKfT96PJ4RCgSIgBAEm8D37M9DS6q06dqq4+deqc0osDQ0MbNxRzOGwcJ6qqa+PiYhQKeUdH l81mk0qlOI673fe3kQ/c1tglFotee2Vf8bo1Go3qs8NfULbh+5elNh4SBOH3efw+D+rzYnNSWdwQ nCDnZd+Ki4vzer13UjiPx9jT87cVK55js0cAAACI+/omKiufB4ANAMAwB5u9NTPz21zuN5h+kiTZ 09MTHR39TW1vKm2YRKHyoThBkMHRXJf9tx5sRkYNCEKTy2QwDFNp5CnqLzd++unn6empHDbb4XDw Bfz29g6tVqNQyK1Wa3//QFd3z9DQsMPhzEhPWzAfCKfLVVfXQBDErEDPZrPlL++8B8NQbm622WyR SCTd3b0AQMlJCRAEjRrGfF4fh8NBUXTJ7tOZJyRJdvf0IjBMxWMMPn7y1JmKiqqCgjwURf1+1Ofz 9vb1x8fF8nm8iYnJ/v4BnU6L+lEURe9f4xbFjMlUXV0rFotmrQcNDg2/8857YeGhIcoQs9nM4bCb mlo4bE5ERDhBEFNTxobGJqvFhhPE2jUFSzOs1DyhDJlTxunQUF3wcZ/ff+jTw4ODQ0VFBRarTaVS Tk5OzUzPbNy4nkajORyO9vbO3r6B1raOs+dKHt/16GKV/65wG2OX2+3pHxjUaNQ4hsMwvHQyFN0e S208dDntPR2tGI6TJMnmCtThsYF0il8Hjs9vvjU4OAjDcGRkZPBBv9/f2tra1tY262SRSFRQUCAW zwrKTHq900ymkAorD4AnMlISEfEmACEAgJmZlh/96Ddsdt7KlSvnUx6Kqampf/u3f/voo48Y33Dj pN1qsdusKE6QJMkTShmsK5O8Zf+tBxscw3Ac27ZtM7X4UrA6j8NmAwAsFqtEIh4dNRgMY5s3b4iO imIymCtWpMMwLJFIfv2rnwMAzp4tiU+IW1CHUxJYrbZVq7JUSiUAQB8eTh32+/0wDGE4XllZpdGo IyMjvF5vfl4On88HAERE6C9erJiZnklLTUlLS1m40t4DSJL0+/wCAX9NUQEAgEGnr1qZhSAIjuMO h1MkErV3dPX09MnlMhaLpdNq4+JiIQgSiUQiobCmulYkEj7++M77ftJJEHabvbh4DZfLAQCkp6eK RSIAgMPuEAj4FrO1tLQsPT1VrVbBMLx2bSGdTocg6Mc/fp0kiMbGZgiGby+049IBx3GXyxUWqktO SgQASKXStNQUAIDP63U6XWw2u76+QSAQREdFer3e9PRUlSoEAFBUVJCfn2u3O86cPb9j+5ZFrsMd cxtjF5PJ0Gk19ZcbaAjt0Ue2c3n3uZ/MEhsP+QJRyopcP4ajOJX/HdzSkIxjN86fOJtZc2oKCIJs NtuBAwfCw8MzMzNpNNr4+PiJEye2b99eWHjdTkaSxDs6/mA2N1VX/xKCjABcy7QDwYhanclmcwmC oG5RXl7e0tKyc+fOI0eODAwMZGVlbdu2bWJi4vDhw3Q6fd26dcnJyTMzM59//rnFYjGZTJWVlWw2 e9WqVX19fW1tbdu3b59XlBEIQNDssK7L/lsPMDCMpKWlPLbzEeorjUYLfN6yecOWzRuCT964sTjw mbIrbNmyoJu8IABkMukzT+8OWDUyMtKoD2q16p9+8kbwySuDNt2Eher2PvvUgpXznsJgMAoL81OS k6ivAoHgqSefAADAMPzc3qdnnbxmTQH1gcNhb9iwbsOGB+GtCYbgcH34Cy/sDRzZtHE99SE9PTU9 PTX4ZCqvFAUNQQCCrHwgdqcK+PwdO7bKpFdCpWvUKioHi0Ag+OEPvh98ZnR0VOAzBEF0Ol0qlVA6 c19ze2MXnU7PyVmVk7NqIYt6j1iC46Hb5Rzo7cJwnCBIJour0OrnYd+an798SEgIi8UyGo1CoRBF UR6PBwCg0+n5+fl0Ov3YsWNRUVFhYWEHDx7cu3fv7t27Z2WRI0ncZGrMzv53FqsfgAgAAPABYAMA JjuGe37x3ul9+66ZtTo7OycmJjgcTkZGhlwuP336dFxcnMfjKSkpeeaZZz777LPQ0NDa2tq+vr7I yEgGg+H3+9va2sLDwysqKhAEmY9LIE8gZHK4fhTHCRKCaYFZ13L8rQcYKsfWYpdivggEAipP3GIX ZDF56sknpFefsg8nkZERzz7z5GKXYjEJ5L5c7IIsJvfX2HUvWILjIZPJUmnDUIzAcAJAMATBt7Zv EfOzb3V1dSEI0tHRkZWV1d/f//zzz1PHGQxGTk4OQRCffvophmGZmZk7d+6cs5IIAABSaRqLpZDL uRBkBwAAAgA6IGFSZPZMG2v6+gwoes2lUafT0en0kpKStra2pqaml19+GQAQGRm5c+fOF154wefz TU9Pa7Xa7OzsU6dOpaWlNTQ01NbWtra2vv766/Nx1xgfHZoxTuIECUgyRBvBE13JyrTsv/UAc3fz G95r6HQ6lSfuYUar1Sx2ERaZJZvTcMFYsjkNF5L7a+y6FyzV8TB4snHrXSnkPP3l9Xo9QRDFxcU0 Gi07+7o9xjQaLTc3F4bh7u7uXbt23XCyBcOMuLh9NTWvFxX9CwTVAysAKAAkgGxQLCssP5v3zjun SPKaXQqCIK/XOzw8HB8fPz4+7vV6GQwGgiBMJpPabRQWFvbpp5+aTCa32y0WiyMjIz/77LOsrCyV al5jU2hEtDo00odiOEFScSGo48v+W8sss8wyyyyzzM3x+bwThiEcJ3CCYLA4yvm5IX2D+FuUX9Rc mx61sJiXl3cT11QGQxQSkjcwUB4h1gF0EpAAOABwAhimpaTEX6rrqa+/8r8FBQUAAKFQ+Morr9TV 1e3du1ev17PZ7D179iAI8sorr0gkkqysLAzD/H5/ZmYmDMMREREAgI0bN84zvggEQTAMQzAMkSQE EYGZ6bL/1kMFhmGXG5rq6i4DAPLyshPi4yYmJs+XlG3atJ5yEFksCIJ47+8fUnGDYAR59pknF7c8 i0JDQ9Op02cpc3Vaasrm651UHgaWrH4uJKOjYxfLK4zG6ejoyMKCfIIgq6prCILc8tDow+ioYf+B Q5Rzs1areerJJx6kNIjzYWmOhxwuLy55hR/DUQwnCBLHidn+4HOAwPz8t6amprxeb0JCwtdeCIJu vpBHp/OUytWnTz9b7YEA3QvAlX2KJCCdhA1BiImJK2fGxcVRH5KTk5OTkwNXkMvlAIB169YBABgM xoYNV/pbVVXV22+/vWXLFmrWdScs+289VPh8/qGh4eTkRIfDceTIUQhAx46f7OjsysrKWNz+jON4 Q2PzE7selUglMARLbmQzfuAZHBpic9jr1hYBAB5OL64lq58LycDAII/H1em0tbX1LBZrYGCwf2CQ z+c/PPMti9U6PT3z3HNPAwDYLPbDNtkCD9B4CEHzs2/defwtAIBUms5gvPHO+38FYFb20BAMA9nZ jG8UfCvAihUrfvOb3/D5/DtXxGX/rYcKLpezdcsmj8dTUVlFp9P1+vDvf+87v//D/y52uQAAgMlg MJhMOo0uk0uZzPssT/xdAYIgBp0BwzCPx5M9lP4rS1k/F4zsnJUQAB6Pp7Ozm0ajPbnnifaOjgsX yhe7XAsHBCAqPRGTyVTPz2HmwePBGA/nO9+6Yfyt27jdrl0v7tix9+t+vr0JE4PBoExfd86y/9bD Bo/H7entramtk8lkCIIIhYucQJ4CguDMzIyqqhqf3y/g8/fs3iWXyxa7UAtNZGTEwODQiROnAQC5 Oavy83MXu0SLwNLUz4WEyWBYrbbSC2VcLic5OVEg4N/ea/n9i0wulclkJ06eIQkiPi5269ZN929a ntvjwRkPofnl87lh/K3buR0EMb6eRY9MGB6my8hIX/bfekjw+/1VVTU6rXb3E49NTkyi88vJsAAg CBweHrZ792OPP/aowTA2M2Na7BItAkKhsHjd2hee36tSKhubWxa7OIvAktXPhcQwNnbwk89cLndx 8Zr7dyHpTmAyGLm52d964bnUlOSa2rr7PTvTbfDAjIfQPP3lqfhbtzzNYrGIRKL7N4HGsv/WQwVB ECOjhuMnTmE4npeXQ0WVEwgEi67AJEm6Xe6///0ju90eGxtDxct+2CBJsry8cnRkVCgSbt26abGL swgsWf1cSC5cKD9z5pxCIa+/3LBr5yOrV+fR6XQOh7PY5VpAIKijo/OLL75i0OmFhasfNuMWeIDG QxLMLx5EV1cXi8XSaG4RDufQoUNFRUWxsbF3o2yLwLL/1kMFi8V65JFtG9avBQBwOBxqpeaF5/fS 6YvskQrDcEFB/orMdJIgWCzWrHxhDwlhoboXnn/W7/fDCMK/31OR3BZLVj8Xksd27ti06UpIfWqa FRcb8/BsFwAASMTiJ/c84fV6IRjicbkP1Wyb4sEZD8n52beo+Fu3PC0uLu6G8beWCBAANBoEcIDA MAYRJAnjMEkQAIchKiTEsv/WwwaLyWQxmcFHOJwl0ZkZDDqDIbr1eQ8ulKf8YpdikVmy+rlgcDic WdYsCIIEAsHXnf9AwuGwH7Z2n8UDMx5+g/hb8znzzleXSRIfGDhkNFYAAHp7cZ1u95o1a+/wmgAA CBDDQ4MMBpMEgCRJkgQESVA5JkkSkCSwChWpccvxt5ZZZplllllmmRtAkiQMkUwahJMAgUkYgmgQ TJAEjsMkQV4Lnn7D/53nfOuW8bcoBgcHpVJpSMjtL68ShH94+IjV2qXTZcKwzeMpOXjwVR7vf5KS ruSsZbNDbpkV8oakhThixX42lwXBN17/lkroy/5byyyzzDLLLLPMXBCIdNume9rc1KQqYLsBgAQk IAEgCULG/fr5yTzXE+cZfyszM/OWPl43x2RqHBj4q1ab7fdPAECGhqbu3Omfnv55ZSUDAAzDvFzu q6tW7WIwvnEEDhELk/NpXAELRm5cZTqLvuy/df9isVgnp6aYTKZGrWIymb29/R6vB4ZhqUSiUMj9 frS/fwAAwBfwNWoVjUYbG5+QiMUsFtPhcLjcbrlcTpvjiIrj+NjYuNPpEotFISEKysRrtVpHRg3U CWKRSKfTAgBIkvR4POPjExqNhs2+9c6SW0KSZFd3D4qiCIIoQ0LEYpHdbh8ZNVA1ogrT1zcQFqaj 0WjUhh2pVDLXCI2i6Oiowefzh4QoxOIre1nGxidMpit7fDRqNZWdze/3T00Z7XY7h8NRqZTz2R9z r6HKCUGQgM9XqZR0Or2ruwfDMA6Ho9VomEyG1WrFcUIqlXg8HrPZIpVKWSzmrIsQBDE9PTMzY+Lx uGq1mnJ+8ni8/f0DBEkAANhsdlRkBCUZs9lsNM6QgFQplULhkvBMd7nc4+PjBEFqtWoul7vwMvH7 /ROTUzwud7Gy+BEEMT4+4XA4pFKpTCb1+fxUOel0ukatEggElEzodLpCLpdIxACA4eGRsLBQkiQn JiY5XI5IKJzblC6Xe2xsnCAJnVbD4XCoE6hxgzohOiqK6ssEQZgtFrvNrteHL4pKBMYcDpujVqs4 HHZvb7/X62UymSqVks/neTxek8mk1WowDJuaMgqFgrlr8SRJ2my2iYkpGo2m02moDh4YZwAAEATF xcZQboIOh2Ny0oiiqEwmlcmkix46YImMh3Ku/5kMl0ylRGj0G9p9MMxnMRoQ6GuNXHcz/lZnZyeH w7kTFy6SJDkcaUzMWgB81JGIiNwr+Xa8zoGButd+/Ju//W2NUqm87VvchGX/rfsUk8l84uTpiYlJ iUSyOj83IiL8N7/9nVIZQsUZeW7v08bp6bfe+q+09FSRUJCXlxMfF/fRxwe3bFovEosuXaoRi0V5 udm0OXF92js6T58+53a7JWLxzp07qPTJg4PDp06fJUly1DCWkpK07zsvBQpw7lzpj//xR0lJtzAD z6tGZvPPf/6r+IQ4QJICgeDFF54rKS07dfpcbEy0XC4rLMhXq1V/fvuv//jmDy0Wa3395ejoKLFY NGt8IUmyoqKq8lIVhuHh4aE7H90hFAoAAC3NrU3NLX4/Ojwy8uSexzesXxeol8frxTE8Py+nsDD/ zmtxh7z//kc2m10g4EMQtH3bFpVa+fOf/yoxMV4g4KelpqxcmVVSWgZBcGFBXlVVrdfnKypcPXdu MTY+8eWXx+x2OwzD27ZuplrHbLEcP3mawHGjcZrNYf/Hz/6VRqN5vd4TJ88YDGMYhslk0r3PPrXo oZ5cLnfphbLWtnaxSLxiRfqKjLQFlonf7z92/FRJSdm6dUU7H92+8BIgSbKtrf3c+QsEQURFRaxd WzQ0NPzWW/+VnJxIEERkZMQTj+98//2PbHa7Qi4PDw8tLFgNIPDHP/3l3//PP3d0dPb29qWlpYqE s1+hURQtKS1rbGwiCCIlJXnL5o0sFhPDsOqaWoNhzO32jI4afvpPb8bGRgMA6i83VlZW9fb1/8/v fr0o8c+ovq8PD8MwLCdnVWFB/m9++zulSikRi+PjYlavzuvrHzh9+ty+fS9fulRtnJouKMibO9+y 2WxfHT0xPDxCkuTaNYW5udkwDDscjjNnzrvdbqvNZrXafvWf/yESiQiCOHf+Qk9PL4qiXC73maf3 KBR3J8LlbbN0xkMug+CzERqNBm4088ZQ3EfHb1KRec235h9/665MhCHIBsDMlc8AABMAbADsAIYR DLtSmY8//hhBkKysrE8++cRmsxUXFxcWFtbU1DQ2Nnq93j179oSGhg4NDbldrvnfdzl/4n1Ke3sH hmEvfet5BoPhcrkAABwuZ9++lwmc+PPb75otFgBAcnLim6+/1tvbf+r02diYaBzDW1raXW5XSkpy eloK83qv5NFRw7nzpUPDIwWr81ZkpH92+IvOrm5qvpWenpqenup0Og8e/CxjRRp1Po1G02rUCoWc Mg/cFWQy6es/fGV4ZPTdd9/3+/0kSW5cv27Hjq1VVbUXyyuf3PO41+errq6dMk6vzs+Njo6cFS64 oaGps7O7sbn5maf2qNWqd9/7YMpopMaXzZs3bN68YXTUcOLk6ZiYaOp8sVj0yI6tcrnswoXy1rb2 pTDfgiBo9+7HIvThH+8/NDI6qlIr5QrZm2/80GQyffDh/qSkRJIkBwcHjVPGsLDQjRuKebzrpkdu t/uTQ4ftDodIKHz66d2VldVV1TXU3EKjVv3kH3+EYdhHHx/UqFXUHnsYhtNSUx55ZNu0cfov77zn 9/sXfb41OTXV09P33LNPSyTimRkTDMMLLBMcxwV8fmRkOEHc7Cly7yAI4uy50lWrslZmrTCbLXQa DQCQmBj/+o9eratvOHHi9OO7HoUg6Jmn9kRHRx07frKtvSMpKcFqtZ49e97pdBUVrdZqNbOMUidO nLY7HM3NLd/9zksYhr339w/XFBWwWEwajbb32acAAJcbmtpa2wJBNZlMRmJC/MDg4MJXn4IkyXVr i7Zt3Xz6zLmOjq7CgnwOl/PaK/toNNrH+z+Jio4CAExOTR05cpTP423evGGWJZIgiI8+OkgCcmJi 8rvffWl4ePTMmXPZ2SthGBYIBD947XskSZ44eRpF0cDWhMSE+MLCfAzF3v7LuyazedHnW+DBGA/n GV9+nvG3IiIipFKpxWKh0+kMBsNqtQqFQhRFURQVCoU2m406/g1WA6mHFx0AGwC0gM0LAAAuXbqU m5srl8vz8/NHRkY++uij1NTUzs7OxsbGwsLCw4cPv/rqq19++WWoyBq/Yr53W/bfuk+xWKxcHlck EsIwzONxURS12x1vvfVfMAxHRkaEhCjGxsYBADAMSyTi8fEJkiRJkujt66PR6DKpdK5CWqzWzs5u Gp0mkYgFAr5IJHQ6r03cSZLs6OjCcCwh/kquT5FIuHZtUU1t/V2s1PDI6D//y89gBF6RkX7lqQkB Op0uEgnr6owAAL/P39nZzeGwJVLx3NwMg0NDxulpj9ujVqtkMikCwz7ftf6DYVh3T69IKNRprzgA KBRyHMeHh0dGDYbMFel3sSK3DY7jf/nL3zhcjkIuD4gagoBEIjabzTiOAwBGRkalUumKFelzN3C5 PZ6amrqEhDgOhyMSirQadVdXd/AJg4NDbpc7PT2Veh4zGIzExHiHw9nU1JKSnLgUgjx5PB4/iiqV IQiCUCvXCywTNptdXLzGZrctRG1vBEGQU1PGiIhwBoOhVF7xDK6vb/jJT/+NyWDm5+deiUcFARaL SUMQq9UKAHC53J1d3TqdViS+QTzIpuYWnVbr9fpCQhQkSXp9vmBrgsPh7Ovr1+vDRaIrVrHUlOQZ jenEqdP3vrpfy1dfHa+qrhEKhNsCseggIBAIPB6Px+0BAMzMmAYGBjNXZPD4s+0FOI7X1tVnZa0A AEglEhzDLRZr8M42o3F6bGy8qHA1NRLCMBwTE+XxeGpa6uVymVy2JIK5Pwjj4Tz9t+YZf6u+vt7t dtfV1UVGRjKZzI6OjqysrP7+fp/Pl5CQQB3n8XhUzul54QTADwAGAAIAAUDQlA+GYb1e73A4jh07 NjQ01N7eTvWZrKysdevWvfHGG6+88sqowSBjfAN727L/1n0Km812ezx+vx+CYL/fx2KxBHz+vn0v y6RSFovJ5nCo+RZJknaHQywSQRAEw/CmTetpCK26plYoFMxNECEWi/h8vs1md7s9brcn+AS321NT W1dQkD/LKnZ3CQsL/aefvMFg0NlsTmBGSBCE1+cTiUQAAA6HvXv3Y719/dXVtcXr1sw1xiiVITab 3WqzsVhMkiTpQWPQ9MxMe0fnzke2B8Inoija0dldWXkpJSU5IyPt3tVr/iAIsvfZp+LjY+l0OpfL tVit1HGXyy0SiaiSr1qVtXJl5sWLFVKpRK8Pn3UFFpsVqtO53G6fz2u12Tjca1MoDMOqqmuTkhOD /R+MxumzZ0todNqGDcX3tHHnCZ1OZ9DpTpeLy+G6XE6BQLDwMllcIAiIxSKH3YErFC6Xm5pBpqen fu9734YhmMe7Fo8KxTCSJPlcPgBAoZB/61v/UHrhYl3d5fy8nFkvVBAEabXqru5um82OEziLxQpe lhkZGbXZbOuL1y6601Iwmzat37x5AwIjfD7vylSJBD6fl8VkMhgMr88bHRX50reeP33mXFdXd3JS 4qzC0+g0fXjY1JTR6XRNz8ywOeyA3AiCaGltk0gkWu2157vNZi8vr5ycmtqyeRPlErfoPAjj4Tzt W/OMv/XSSy9BELRq1So6nU4QRHFxMY1Gy87OpszggePfoHwMACizAg4ACoDzuh9hGHY6nWazOTk5 2WAw+P1+AACNRqPT6ZQDYHJSkpA+Nv+7Lftv3afExcWcL7nw2eEjAoEgQh8WGxsDICCVSoLt6oND w4c//9Lv969efeWdmMPhxMXGWG22ysqq9evXcbmz7Rnp6am1NXWDg0Nms2XVykwMw3p6+uLiYpqa W0QiUXRUJARBJEk2t7TGx8Xe9cczBAGpVBLsL3K5oYnACZwgsrOzAAAAAgKhIC8v59TJMzU1dfn5 ubOeKwiCZK5IP336LJPJ5PP5EonEZrMbp6cjI/S1tfWqkBCNRg0AoOrl9Xr/8Me3w8J0Y2PjbWz2 EplyCYQCqVQa+GoymY8cOYpi2KqVmZT9iclk6MPDHA5HRWUVj8ebO2+Oioo8d7704/2fWCzWnOyV gfYaHh7x+/xRUZGUMvT09AlFgnf/9v7g0HBebvalS9XF69dyFjuyYohCoVSGfPHFUYGAF6JQ5OSs AgsrE8odewFrPBsYhvPzc8suVra1d7LZ7NyclQAAOp0uC5IASZLnz1/o7u4FAMTFxQAAAAQkYnHx 2jUnTp7u6upJSkqYNf9gs9lRUZGHP/8SRdG42Gg2mzU+MQEAkIjFbe3tUZERYrEIAED1l+ioO0wc fBfgcNiBKqMoivrRk6fO0On0sLBQhUI2MmpAECQkRFFYkH/u/AUBn6/Xh8+6gkIh53G5nxz6zGq1 paWmwDBMta/H6xkdNazMuqI84xMTBE4cP3GqvPxSfn5uXX29QFBETWgWlwdgPIQggDyzZ1tUbBqO em0zw1JVrHV6gCdSM9jXBZSbmpqCYfiWaaGpeRWCIJSUvt0kAAAgAElEQVT9gFJxBEFmHb/JFVwu g9lcreUlAtINpgGgdorQAPADYAEW3Hy8pG/nzr08Hk8kEkVERCiVypCQEK/Xm5ubm5qaKpFIwsLC ZDKZVCqNi4vTabUwOi1VRiE0um16CEEgBpMLfU0BEBqLzRXLFSEymXxkeAiCaTKpGMexbyLPZW4T h8NptTmioiL8/ltvg52LQCAQCPget0ckEsbHx9HpDKlUog8PC7ysMJkMBEEQBInQ6zMy0hAE4fN5 Wo2Gz+fJ5XIGg87hsBEEIa7CYbNlUmlKShKDwSBIMjMzPSYmGsfxKaNRqQzx+f0x0VESiZiab1ks VrlcBsMwdc3bi0xIkmRXd19KSgqG+QAAAIJEQmF4eFjgNZTNYkEQYLKYcXEx8fFxEARTdWSzWAqF AkEQoVBIkiRVfhIALoejUavi4mIJHGez2bl52SqlEsMwh8MpkYgJnEhNTaammCiKThmNQpGQz+cp FHIYhsUikUp1T7ak3JyJySk2mxvod7PlCUFsFgsASK1SZmSkczhsNoulUiklEolUIuFyuAwGg8lk BhoRQRCRUJialiIQ8HEMj4+LXbEiHYZhqr0wDNdo1BqNihqRzBYLg85AMSxCH8ZkMphMZvTVacdC 4vejg4MjqakpPq8bAMBkMhVyudvj5nA4KclJHA57gWXC4XBYLCZ1TWoKsgD09Q/q9RF0GkySBARB CrkckKTfj8ZER4aEKNhslkwqDdZPLpdLkiSHw05PS9HptNDVvsPhsOUyGY5jQpEoIAEIggQCfnh4 aEx0tM/rk8mleXk5QoHA6XQCADgcDo4TKSnJTCYDAICiqMPhlEolc/vjPWXWeDhH/hCPz8MxTCwR Z67IkEolTCaDkgmPx6NKy+Nyg6sslUrj4mKVSqXX59WHh63Oz2UymVT7MhkMDpcTEx1FrcE5nE6S JGEYDgvTcbkcGEZCdbqFj7a6NMdDHPXgnhmuQAbDyA395QkCdzssUlUsBMEAAJIkXNZxmMbk8GWW 6ZHKpovQicP/u3HH8z63dbirLDp9x1D72ZCwFTzxdUuH58+f93q9W7duvcdCBiZTw6VLr0v5iQDB gO+qNz9yxXPLhbp//d/NH354Zp77E0kC767/LCyukM7kDHeU0ukwVyD/+ngQQhYvhBJTecUlGGHG xuh9Ps9dqtkyN2NsbGJweGzTxmKnw7rwd8dw/M9//mtffz/1VSAQ/PC17y+wFR3H8SNfnnz22We9 HtttBA222x3/9//90Ww2U1/Dw8K+/71vL8peqjuhobFFIlHcdr/7/IsvL5ZXUp9pCO2733kpKiri rhbwnuN0us6XVOx97hm7deauXPB+lMmpMyVr1qzjsJC78ro7NDT8xz/9BcVQ6uuqlVlPPfnEnV/2 nnKH42FNbf2Bg4cCX6m8k3evdAvB0hwP/W6Tz9yp0MbRaIyv2Z/omx7vj07fToX5JAh0arCexuTL 1HEDHRW/fv+XdzP+1p0jlab7/c//8rcffN0JQmHUbQTfmifL/lsPJzQE2bv3KWoNGgAAAWjBXuXv Fnw+7/v7vk2CKwMTBEH33WTrztm0cX1BwZVtRBAAD1vWlxuyLJOwsNCf/OT1wFfGQ9AvMtJTIyP1 ga9LYefHArM0x0MInl++6nnG37obQI899g/btz99kzPu3Xxr2X/roUV4nz+HIAharHCUS4e5ufaW WZYJBEHBzl4PA7P82x5CluZ4CM3TX37+8bfuHAiC7t2M6uYsx996AMBxAoahm7tZBM7BcHxuWPmb ELCBAQCoFyaCIHAcp9PpJEniOE65PlAOizhOkID8Rte/PTAMo9FoJElSd7/Xt1tcqLbDMIySP4Zh geUGGo2GYddWoAL7ZgJfb3hBgiCp4FKUgyl18Ib/eLWJAQzDCPKAy3mZ+xRqTKPGhMUuy93nvq4X PE/71jzjb93vLMffegAor6jEcXzd2qJbnpOZmfHhhwe+8+0X52lqDvgEYCjGYDL+9Z9/LBaLLzc0 Hjt28rXXvufz+U6ePNPXN6BQyLZv3yoSCmpq6js6u374g+/fa1P2gYOfZq9aCQCoqq55bu/NbMMP AOUVlX6fv6Oza+/ep6QSyVdHj18sryQJ0uvzPbFr56WqGrPZDCBAQ2hPPbX7wMFD1Azs63zyCIJo aWk7euwkiqLbt2/JSE9FEATD8bf/8re+/n4cJzAUff3116gdat3dvWfPlYyNj0dFRj76yDaZ7KE2 ISyzBLHZ7dSYdvCTz7JXrYyOXvydlXcXaqy7T+uFINDdjL91v7Psv3VfQCU+Y7KYapXS7/cbDOME gWs0agiCJycne3p6KUuy3e4Yn5jAcTwyIoLBoE9Pz5jMZir3FpUtC0VRykfe4/GOGgx0Gp1Gp+m0 GoNhzGazcXk8lVJJbVOiCPgENDQ09fX1M5lMu91eU1Pf1NxKkqTVaouMjCgqKigrKy8tLROLxaOj Bipp421AkmRfXz9CozEZDKUyBIIgi8U6NTUFwXBUVCQEwMTEpNPl0mk1PB7PYBjzpHoAAFSYsQeG sfEJDEVRFFWrVRwOx+FwUu0rEAiGhocxFJuZMRUU5BcU5JvNlpMnz/AFPLPZvG/fy1KpBALAj6Io iv30J2/Q6LQb+uSNjU/YbfZz50vXrS10ezznS0pjY6IEAkHAn29oaPjixUr21VfNmRlTVlbGBvG6 Y8dONjY1ry9ee68lQBDEzIzJZDIpVUqRUIjjeHC7j41PkARBRRUK6Ab9vn37/zqC+zudTrdYrVOT UyKRSKGQ+3x+w9iYRq2CYdhgGPP6fBq1+r5zvrwlVqvVZDKjGKZShlAhxA1j4y6XSyIWq9WqYPkE xrTAmPDAYDKZzWZzV1dPamoylQA0MJ67XK7R0TEAgFqtFM7J3bR0gOc535pn/K37nWX/raUPQRBH j53o7Ozi8/nbtm6qq2+43NAYHha2ZfPG6pra/v4Bm92+Oj/X5/N99dXxnt4+mUwqEYshCNp/4JDZ bNZqtVTKjmAqKi9VVdVCEGAwGG++8YPW1rbWtg6SIDduKk5LTQmcRvkEeDyekeHRVSuzGAxGXX2D RCKm4hvFx8XGxkSfOXPeaJyOjY1+ZMe26emZ//zVb2+vmiaz+ee/+HVCQjxJEi88vxeG4U8OfWYy WXQ6TXhY2NDQ8JdHj2MYlpaavHnThtsW5hLngw8+9vtRDMeKClevKSr44shXVPtmr1pJ4ERnZ7fF as3JWamQK0aGR7kcTlxsDACgoaFJKBDExETx+XyHw1FVVcPhcpKTEkmSnLXK/MEH+9lspsEwlpqa TJLk6dPnUPTKcqRQIEBRdHJiKiY6KpDMJDc3GwByenqGy+UsTFSq6emZAwc/tVqtoaG6J/c8Pjw8 GtzuH3ywX6NRrV1TdOTLrwK68YDNt4L7+47tW0JDdV98cXRoaEgRonhy9+PjExPvvPPem2/8oKGx ubGxmc/nbdmy8cGbb5WUlpVXVEkl4uioqMcff7Su7vL5kgs0Gi0ne6VSGRIsH8nSc1q6K3g8nkOf HjabLWNjYwAAo3E6eDyfmJg8d77U6/Wq1aon9zy+8GFc5gkMQ/PyQiAI4s79QkiSmJwsr6p6tarq 1dbW/8Jx363/Z2EJD9NlZKQv+28tZQiCuFRVY7Ha2js6e3v75XKZVqsNC9PJZJL29s4nHt+ZnJQI AHC53E3NLS+99Pyrr+5TqZQms9nj8XzrxX/o6+/3+mbvtG1ray9YnZubm03puUajEQqFnd3dAwND cwvQ1d1Do9PCw8NMJnNPT29cXAyPy8UxnHKfotFoGI4DAGAYRmh31O25PO4TT+xEMWzGZJqenpmZ Mb/26r4XX3iOzWb19fe3t3cYp4wlJWUE8Y03S98vkCTIy81eU1jQ3NJKEERw+3q83pLSMgRBlCEh bre7sak5LS2Fz+fv3LmDzWJNT898dviI3e7Y9dgjJACjo4b9Bw4FZ2QK3CE+Lo5GpwEAkSSA4evm Y1NTxrHxicTE+CB3UnJiYvLkqTNqtZoqxr1mxmSqqq612ewVFVVer3dOu5Px8XE2my1YNxagVAvJ df29r9/t9pwvKXU4ndXVtdPT0wAAhUKuCFHUVNfufHT7G2/8IDEhfrGLfPchSTIhPvaRR7Y1NjUT BFFbd3nlyqx/fPOHRUUFs+Sz2CW9V3g83oGBoWee3qPT6QAAs8ZzkUikVqtsNvuFCxeXsmGIJIl5 vQxNTU15vd6EhIQ7udf0dO3ExJnIyMcAAC7XeGfnHyIjnwn8zGBIEGRx3OQDLPtv3Rco5DKFQhET E5WUGE8QJJ/Pr62rFza3CgX8UcOYyWQWiYQQDDGZjJGRUS6HI5GIGXQ6juODQ8M8Lg+Z8+bA5/HG xiegqw7RZ86el0olMdFRVDa6YJxOZ29vX3h4mFgs6uvrLy+/1Nzc2trWsf/AoQ3r101OTkVEhE9M ThqNdyF4kt/nM4waYBimIQiC0EiSGBkdJQEpEYvZbHZ4WFhOzkqNWkWnP1D2jOshjdPTdDqNx+UC AALty+VyWUxmZmb6+Ni4xWLt6+/3+fyJifEAAJ/Pp4/QkwTR1z/gdDoBCZISE6ampk6ePju3NQEA XC5XLpPVX24gCEKukNPpdJ/PR70fd/f0CgT80FAdAADDMAzDBwYHv/jiq8hIfVpqysLs6WHQGVqN evXqPJVKKb5Ru1OhWYN1YwFKtcAE9fcECIJUKtWKjDSdThseHtbb10+j0eg0mkQiGZ+Y1GjUYrFo Kez8v+tYrbaREQOXy6GiuU5OTk5OTlHx1oPls9jFvFdAEESjIcPDIw6nAwAwazxva+vo6upOTkqw 2+23EaxrwcDx+e1PvPP4Wx6PsafnbytWPMdmjwAAABD39U1UVj4PABsAgGEONntrZua35+Y8WkiW /beWPgiCbNq0/vjx0+Pj41KppL2to6m5NTY2OiE+jkFnXCyvIAhCKpXyebzi4rUnTpw+e/b8yy+9 oFar9Prwc+dK164tpJITUJvRwsPCIBjOz8/98qvjKIpS+Q+yMlecOn3WbrdnZKThOB5snbbZ7HQ6 g0pPFh0d9bvf/QpDsQMHP3300e1MBuNieeW586VhYbqNG9cDAALXv72aut2emtr6CH24SqVkMBip qSkff/xJSIjiO99+MS01pb9/oOxiRdaKjKSkRI1GzWaxAQDBGdAeAAiC7O8f4HC5W7dshGG4oGD1 1faVxMbGZGWuqCMvGwxj42MTq/NzWSwWSZJcDufo0eMejyc7e2VoqM5gGPvww/0IjbZxQ/HcFUCN Ri2TS9cUFRw7fgpBkO3bNnO53JbWNgadodVqLGZLbk421fqTk1ODQ8PDwyMDA0MTE5PVNXVPPbl7 1crMey0BjUaVlbXi0qXqqMiIpKSEG7a7VqsO1g0e74Eyzwf39xCFIioqYn3xmgsXykdHDVGREWwW W6vVIAiyafP6I18eKy+vfHLP42lpKbe+7v3G+PgEjhPr1q1BEGTtuqLPDh/5/R/+XFS4etOm9cHy UYTIqTEnMCY8GHC5nFUrsy5V1/K4PDaLrVYr9UHjeVRUZH3d5arqWrFYjKLYYsU3uCUYCuYVX76i ogKG4dzc3OCDfr+/tbW1ra1t1kVFIlFBQcGsjKcez2Rl5b61a/8DhmupIyQJkWQoACEAgJmZlh/9 6Dc/+MFfVq5cOZ9yd3V1AQAiIiLKy8uLioq+br32m8aXb+maoPy36urql+PLLyTfKJ5yYFs+gsBU xgYIurI/H8NwGIYAgKifqNNoNASCICqxAxWsgSRJgiARBEZRNBDKobWt/dSpsz/9pzdJksQwHAAS gqCyixXWqymB6XR6cfFaJoMBX7/yFAgqgeM4QZAQdC2yAHX9+UhgVjzlGZPp57/41Vu//A86nU6p N1V+AAC1HRrHcSpTB41Goz5AEHRfb5YGc+LL/+dbv928eUNiQgLVglS7UO1LBdqgBEJFwaAEHhSy AQokaAIAUClrLpZXUqEfAAD68PC0tBTqv/CrS8CUblAXxDAcQa41NI7jEAQFjGQwjNyLkBBz48sT BIHjBATdrN1n6cb9zqz48sH9nWogqhWoXhYIhkJFY6HSxy12De6UWePh4c+PEAS589HtgSx5lBrA MIwgyCz5UGNOQDcWuyq3ydz48rPitgSP5+CqQMDXh325K9xhfPlfvf/z24+/BUGQzWY7cOBAeHh4 ZmYmjUYbHx8/ceLE9u3bCwsLg88kSbyj4w9mc1N19S8hyAgAuBr3FUAwolZnstncwJBRXl7e0NDg 8Xji4uJGRkb0ev2GDRtMJtPf//53m81WXFys0+lee+01HMdDQ0PPnTv31ltvPfPMM+BusBx/676A etgEvgbPtoMX12adFuiZ1E8IAoGrnZM6Ux8etumqXYq6Do4TwRenVi7mTu4DEbYQZPaPt935ORzO rp2PMJnMwIgZXP6r90ICPwVKeHu3W5ps3rxBp9UG2jTQLgHmPllv0ugIApPkdYPYDeUWeErRrne/ o6S98M/y+bT7rHMeMGa16ayv1OdZBx8wMtLTwPVaGqwGs+pOjTkPnj7AMATDN+7a4HqBLFnmu55I xd8yGo3UZlTKZE2n0/Pz8+l0+rFjx6KiosLCwg4ePLh3797du3fPSidOkrjJ1Jid/e8sVj8AEQAA 4APABgBMdgz3/OK90/v2XTNrdXZ2NjY25ufnv//++9u2bSspKYmIiNDr9fn5+SMjIx999NHPfvaz zMxMHMcLCwsNBkNWVtbdEsey/9bDjEgkSk+/Tm8RBC4qXL0oheGw2fddyrO7TvDm0DtHJBI9tvOR u3jBZZZZGPT68EUuwTJ3A5Kc33yrq6sLQZCOjo6srKz+/v7nn3+eOs5gMHJycgiC+PTTTzEMy8zM 3Llzp/hGPptSaRqLpZDLuRBkBwAAAgA6IGFSZPZMG2v6+gwoem3lbuXKlRs3bjx27NgTTzzR2Njo dDotFsuxY8eGhoba29vZbLZerydJMiMjg8fjhYWF3bkgKJb9t5ZZZplllllmmbvOfPP5UPG3iouL aTRadnZ28E80Gi03NxeG4e7u7l27dt1wsgXDjLi4fTU1rxcV/QsE1QMrACgAJIBsUCwrLD+b9847 p0jy+oUbOh2CIBaLRfltOJ1Os9mcnJxsMBj8fr9arW5paXG5XGq1uqOjIz09/Q4FQbEcf2tpQhBE Z2f38MiIUhmSmBAPw/DZcyUej4fJZMbHx3HYbLPFkpgQ73S6Wlvb0tNTGQxmWVk5jMD5eTk4jl+q qklLTREKBe3tnUplCIfDaW1tUyjken24w+FsaWk1WyyRERExMVGUI0hJaRnlswVB0No1hcHGWpIk TWZzS0tbRnoqdZwEYHBgcGJyKnvVylkOPU6n63JDo9PpSkyI0+m0JpO5qbmFJMmMjDSZVHpL1wqH w9HU3Op0OFNSklQq5fDwSENjEwQgqVSSkBA/PjEZHqbj8/l9fQMkIKOjIi0Wa0VlVUpKUnhY6OTk 1Pj4BBVWqrW1PTExwWKxtLa25+XnsFmskZHRzs5uGp2WnJQYEqIAAJhM5oBvk1QqXZ2fdxPnJBRF W1rbxscnVcqQ5OREJpN5k1o0Njbr9WGUrExmc1tru83u0GhUCfFxFou1o7PL6/VGR0Xq9frxiYnO zq68PMUSbPdZkCQ5V4Zfh8lkHjUYKFudz+fr6ekbGhpms1nJKUlcDqejs3tyYlIqlSQnJ5EkWVd3 OXhnEkmS0zMzLS1tJEmmp6dKJZLGxubBoSEYRtRqVWxMdFdXd2pqMp3OaGxqDtVpFQr50PBIc3NL YcFqoVAQ0A2rzTZmGI+PjxsZGaF0FYJAV1fP4NCwQMBPSUmi8ocODg41NDZRt9aHh2dkpN2kXnNl eBNxVVRcWpGZwWGzAQBj4+MdHV0+ry8yKiIyQj86aujp7QMkSEpOlMtkg4ODBsNY8L+jKNrc0jo1 ZYyKioyMjLBZbRfLKwmC4HI5SYmJfr+PRqPrdJqAzhMEUVJaFqJQpKenBnSDyWTW1tYnJMThONHY 1JyeliIUCmdmTC2tbV6vLyEhLjwsFIIgFEUpHQNX/TWpMt8QgiDmyvDrGBwcAlctVU6nq72jY3LS KJVKkpMScRxva2u32ewajTo+Ic5hdzQ2NfMF1yJpkSQ5PDzS2dktEPBTU5O5XC6lqzQaLSJCr9Nq BweHUlKSgnW+qallbHx87ZoiBuOaboyOjmEYFhqq7ezqxjAsPS31hn25oaFpcGiIunVGehpV5q9r 2bky/LqTURRtaGzOXJGBIDBBEAMDQz29vRCAEhPj5XJZf//g4NAwm8WiKtjW3m53OIL/fcmOh/OH BN8k/hbVo+a6pFALiy+++OINJ1sUDIYoJCRvYKCcMMkIL0ZgGOHACAcGw7SUlHg+n+jpueLSVVBQ UFBQwOPxXnrpJTqd/tRTT+n1+vDw8BdeeEGlUn3/+98XiUT5+fmFhYV8Pv973/veXVy2X46/tTTp 6Ogsu1hhsVjHxiampow2u/3Qoc9RFDMapw8cODQ8PFJSUma32y83NP757XcHB4eNRuOxEyePfHl0 ZsbUPzD4wQf7W1rb7Hb7hbJyo9E4PDz8P//vTw2NTX6/v6qqprdvwOVy19Zd9vn8AAAMww4dOmyz OQAAEATj+HUeP2PjEx98sP+dv/59ZNRAHXG7XJ8cOvzuu38POGJTEARx9lxJc3OLYdRw7Pip8YnJ c+dL+/oGenr6jh07SQ3oN8HvRysrq1tb27w+b0dnl9+PNjQ2XW5ownD8ckNTSWnZ5csNLa3tVpvt q6PHjxw5arc7urq69x/4pLq61uVyV1Rc+uDD/cbpmf7+gbPnSnw+37lzJX/637+43W6DYayioop6 AHd0dl2t1/jJU2eozzhO+aRfB0mSGIahKEYQRFV1bUtLm9vlbm5ptVis1L8E8hhSZwa+njp9dnBo mPra0tI2MDhktVrPnj3f1NxSeal6dNQwM2P67PCR/oGBw4ePTExMLs12B1e9tlEUxXF8rgypWge8 6QmCwDCMckgdGx8/ceI0hmEEQVos1praOofT2d3Td/Toif6BwabmFpfbXV1TV1Jadu58aUtrGwmu bWi32WylpWVDQ8Nut6e/f4AkyZOnzoyNTXg8ntLSssbG5vKKSwbDmHF6ev/+T86XXHA4HLU1dQcO ftbS2nadbnT21NbWu93XdLW9vbOu7rLdbu/t7R8duaLMDY1NDQ1NN1FLql4Yhs2V4ax2v/oVpz4c /uJLh92B4ziO41VVNWNj4zMm0+effzk4OHypqmZmxmQYG/94/yc9vb1fHDlqt9mDxV5VXVtdU+d2 ufv7B50OB6WrJEEMDY0cPXq8q7u3umaWzg8e/OSzs+dLg3VjaspYeuGiy+Vuamr+3e9+PzJqsFpt F8srJyYm7TZ7U1ML1ViUjmEYDq76a35NR0CpgHCzZBjc7rP6RUNjU119A4piJEkOj4y0trS73e6a mrrSC2XNLa19/QMWq/XM2fNNTS2HPv28o6MzeOIyNjZ+vuTCjMk0PWMaGh65qqt2m81+5MjR/v6B k6fOzJiu0/lzJRc+/+Irw9j1ulFb19fXPz098+677x87foqS7ay+DACgdOwmakB1BAzD5sowuN1n 9Qub3b7/wCG/308QhNfrq66pNZsshrGx/QcOjY4aqqprHQ5HT0/vV0ePNzY1l5SUud3uwB2X2nh4 m5Dzy594y/hbt9wKQafzlMrVp08/W+2BAN0LAAAeAAAgAekkbAhCTFxt37i4OOrD1q1bAQCBTZF5 eXl5edc8WqjjCsXN3iy/Kcv+W0uT6pr6uNjo1avz/H4UQRCny8nlcQsL8g1jYwMDQ1KZlMNh9/cP trS0abXq9o5OoUCQkpxEbTm0Wm1hYbq2tnYej8vhsNlsTlV1tVIZAgBwuz1V1bV79uySiMUYhnE4 V15kORxOfn6OXCbjcNizjDcyqWT79i2WqzsWCYKoq28QCgSMOTYegiAaG5uefnqPUhny57f/ahg1 dHR2vfbKPgzH/vDHt71eH4fDuUmV3R53/eWG5557Wq1Su1xOFosJAIiKjMzPyymvuGQ2WzIyUltb 2yVisd3uIAhiYmKit7dv+7bNdrt9fHyir3+Qx+MNDg6NjIwmJMQPD4+4PR7qjt3dvX6/f0PROgRB Au9OEIBUSmVRYQGNhvB4vFl9mSTJ1rb2kyfOmC2WHTu2VpRfWreuSK8PR1FUIpE4HM4zZ883NDYV FuSvKSowmy3Hjp8aGxvbunVTRnoaQRAnT509c6Zkx44tqSnJmSsyjEbj0WMnHQ5nYUE+n8+z2x3v f/Cx1Wozm82RkdelRVs67Q4AMJstp06daW3riIjQ63SaYBmSJFlX33D27HmpVPLE4zuFQmFZWUVp 2cWkxIQdO7YCAPoHBv/rv38fExO1vnjtIzu2kSRZW1ff3NwaqtOF6nRsNqukpGzUYGAwGEwGM9gL 2GicMRjGXnj+OT6f53S6KB/h5OREvT7cZDJ7PJ7k5MSm5ha1Ws3j8/r6BsbHJ2x2+47tm3t7+2RS aUA3enp64hNiGxqbA7paU1On1WrS01NxHBcKA4YZKDo6qqiwgMFkcOfoJ47j1dV1p8+cI0ji8cce nSVDo3E6uN37+geOHz+FYujjux7VajRej/fAwU8BALt37yooyGcxWcPDw8MjoziOrVu3RioRj4wY 9h845PP6vF6vXK4IvmlFxaXNmzemJCe6XG6qsZQhioKC/KbmlqqqmjVrCsouVszS+TVFBX6/f5Zu RESEu93ugcEhqUwKAJienu7rG3hyz+NMJoMgru2M4fN5RYWrmUwGl8ubG9xuZNRw7OiJkVFDTs7K mWlTsAwxDAtudxzDg/sFAKCu/nJ//8Dq/LyUlCTN42qHw3GhrHx6emb16rzMFRkkSR4+fMRsMrtc LrlcHnzTru4eBoPx2M4dNDod9fsBAGw2Oy83h/yHg9gAACAASURBVCTJwaFhCIbCw8NaW6/TebFI uHZNYfP1umG2WBIT4y9VVctkUgiCcRyf1Zep2yEIkpqSnJycyGKx5kbQdbncZWXl5RWXhCLB2qLC WTLs7esPtHt4WFhwvwAAzMyY/vftv4qEwsd27li3tojFYnV0dJ45e14kEj3yyFaRUNjY2Hz2fKlO q4UgODiexZIaD2+fea4n3nn8LQCAVJrOYLzxzvt/BWCW3TUEw0B2NmNxg2+BZf+tpYrVahWJU6lV ZgCA0+UcHh75z7d+63S5tm3dpNNqJBJJW3uHyWQqWJ3X1t4JAFlUWIATxKVL1SiK5uZkV1Ream1t l0qlhrExl8udnp4KAMBxvKen9+Ann3k9npTkpJ07H2GzWQBAKpXy3b+9D8NwUkLCtm2bg55GgMVi RUdFBpYYZmZMXV096RmpPb19s8pMkqTb4xGLRHw+H5DA5/d7PV6BgE+SwO/z3zIoH47hNrtdJpPR aEggI9iJE6eamltoNOTFF54L1enOnSvt7e1TKGQ4hnd0dhnGxr/z7W99cuhwW3s7ivqTkxP7+vqH hkee2LWzqaklJiaqra0DAOBwOmvrL/cNDHDY7I0bi6lck1wux2q1/urX/y0SCfPzc/PzcoKf+jiO f/XV8Yz0tMysDDaL9dFHB06cOuN2u6OjIp94fKfROF1f36DXh5eWlq3MWtHc0jo2Ni6WiM+eLUlN SYYgKCxUBwAoL7/07ZdfMJst7773AQSAVrNWoZDbbLby8kqdThsVGREaqmtr71i7dv0SbHcAQGNj 84zJ9O2XXxSLRRfKyoNlKBQKTp85JxGLJiYmW1rb09NSzpeU6vXhjY1NWZkZAAA+j5ednXXy5Jmi wny5XLb/wKFLVdV5uTlCoQDH8aamlqHhkcLCfIfDcfjzr3iCa+uYfr8fxwmBUEBDECpNDYphH350 gMViqZQh1NrZe+9/5HK5U1OS2ts7u7p6MAzbsL74L+/8bZZu5OXlni+5ENDVGZOpt6+/9MJFpVLx 6CPb9XouAEAuk5ZXVHZ2doeEKNYXr01Ovi6GvsPhPHP23ObNG2Kio1AUnSXDWe1eWnoRx3GSIMvK Kp55eg8Mw7Gx0b29/W1tHRvWr+3r63/7nffUapVMJpPLZUbj9MXyiqysFWFhoSwWa3BoOLgfWW02 pVKBIIhAwKcO1tc3/uKXv3a73c88vUevDz93/sIsnX9u79NNTS2zdKNgdX5Pb79QKIjQhwMAfH5/ W1v7uy4XACA/L0epDIFhGIFhFpv137/7PZPJTE9P3bxpA/VoD3D27HmxRPzoo9sFAsEf//R2sAzF YlFwu2MYFtwvAAAymTQlOfnCxfLs7CySJN/7+4cjo6Pbt22RSiRer/fSpRoMx1JSk70+b0VldURk TOCmTqeTzWaz2WwYhpkMBoqiZovlf37/JwxFMzLSIvThBE5UVFYF67xCIU9OSvrw4wOzdAPHCaNx OidnVW1tPUmSowZDcF9mMMQAAI1GffTYiROnTkfo9Vs2b9DptMESMIyN1dU3PPvMkyqVcmxsfJYM g9td94w2uF8kJyeyWawVGWklpWVG43RMTNTF8sr9+z9JTIzn83kMBmNwaLihsbmwIE+tVpeWXQTQ NRejJTUe3gnzusrg4ODU1NQd3wvatevFo0fL5v6dPFl29uzZxMSFSJFxEzo6e8ora1Fs6SYEeDhR KOTT0zNer9dkMlttNgBAVFTEL37+syf3PI6imB9F9fqwpuYWkUgUGRlhsVhtNodSGaLVqGdMJpfL FRam43K5bW0dGo3q/PkLVquts7O7sbHZbreHhmp3bN/yzNNP1l9upNb4aDRky5aNb/zotRf+4dmW 1tZZK1yzaG5pHRgYaGxsNhjGmppbg3+CIEgiFk9OTk1PT5OAZLNYbDZrcso4NjbG5XFvuXUZQRCR UDg1ZfT70ZGRUQzDAAC7d+/613/+cXJSotvtZrGYWq224lJVVFRkbGzMhQvlKpVSIhFHRUVcuFCu 02ljoqNaWtr4PJ7P56uprevp6TOZzLW19Ww2Ky42+rvf+VZ0VGRVVW1Awt/9zks//emb6Wmpp8+c mxX8hSSBx+PRajUyqZTNZms06oL83O999+WhoZHJKSOO4/0DgwbDmEatZjCYPq+vt6/PYraGhCio sFjKkBCVSulyuYaHRzAMe/X73xVLxMMjo+PjE8dPnEYxbMP6dTQaMjAwlJKSvGTb3ev1cjlcpTJE LBbxeNxgGZIkmJqc6u0bYDKZIqEQJ4jhEUN//6BUKqXsZHw+P1SnxQnc4XD29Q1s37blke3b2js6 HU7nxYuVDU3NBQX58XGxDQ3NsbHR7CCHITabTafTzWaz1+sbH58gSZJOo73yve+8+foPNBq1y+UW ioQsJrOzsysiQh8eHlZecSk8PFwiEc/VjYGBwWBdlUolqanJr77yXQiCO7u6qdvFxcW++sq+f3zz h1KppKy8YpYECAJ3Ol0ajVoiETOZzFkynNXudru9t6/f7/eHKOQAADqdrtNqBQKB1+vt6uqRSqU/ +sH3HXaHyWTq7ev/6uhxtVpVsDrPbLZ4PF5qPhToRyqlcmrK6Pf7xycmvV4fACA/P+fn/9+/b960 AcNxAEFzdV4hl8/VDQ6Xc+bMuckp48iIoby8ksCJiIjw5/Y+tXZtYdnFckrnBQLB8//w7E9+/Pq2 rZsvXqzweNyzhOByucVisVwh5/N5s2Q4q91n9QsAgEwq1WhUDofDOD0zMTn1wvPPZq7I6Ozstlis x4+f6h8Y2LihWBmiaG5uTU9LDX7Ai4RCj8fjcrntDseU0QgAkEjE//rPP/72yy9yOByf369SK2fp fGioTi6XztWNS1U1xv+fvfcMj+s4777vmTlly1lsBXYBLHohCYAFJAiAICl2qlCNokpE2ZYiK3Li WE6cOHmc13mS633iOH7fOFFsp1iWo9iWLFFUsSirkaJEsTdI7B299+3l1Hk+LAmCAEEuCIgAifP7 gGt3MDtnzpyZ2Xtn7vnfPb3Hj5+sr29oamoeNpYTl1tcs+g733nuuT/9E7/ff/LU6WEtoCoqACRm G97AD2vDoc992LgAAJ7ncrKzWIaJx+Pnz9eVz5vz7B893djUEgyGjh49vm3bJ/Pmzamuqkyszrpc zqk5H46HG9ffugEQQlNW+xV0/a2pytIli7d9/MnJk6fT090rli/jOJYhjMHAL11Ss3PX3n37Diys mC+YzTNnFns8bq83gxDidDoQQnm5ObKieDyestKS/QcPFeTnL1++tL+//+jREwghjudrFlV/9NHH iqrOmjXTaDReqKtXFKWxsXnb1u3RWCwjI912tcXOQZfBwoL8YDAYjcZMZhPVhms7LV2y+PfvfaAo anZ2Vk5Odvm8ub/5zW9lWalYUG4yX2szEQBMJuPimkVvvvk7lmXnzC5LT/dgTBBCqamutWtW7fhs l9lsrlgw73Dt56Wls6gGv3/vg8rKCozx3Dmz33v/w3nz5uZkZxmNhjmzS7Ozs5YtW6Ioqqppoigu rFjQ0tL261+/ijGqqlqoadrOnbvz8nITyq6SJM2ZXTrsxxzGeHHNorffeXfbx5/cuXbVqlUrdu/e e+DgYZfLabNZGcIsXbIoGAo7nA5KaVFR4dy5sxVZ8bjTEsKhe/ftB4QW11S3tXccPHhYkiRCSHZW 1suvvLZ33/45s8taWtvWP3hfTm52S0vrlH3uM2YWnz5z9l+f/+nMmTMqFy5obGwebEOM0Zo1q06f OSuYzYJgNvCG5cuW9vT22u02g8GAEW7v6Hj1tc2FBfmA0PZPdvj9fkVR5s4uO3ni1H+98Eu3O62/ r7+1pXXWrBl79u7n+cvL/B6Pu6Ag/3/+52VBMM8vn5ee7mEYhmGZ3NzsqvjCQ4drly9bWj5vzs5d e3JzczDCtbVfzJs3G2NcUVE+rG+YzeZwJDzYVxfXLNr28Scvv7IJEORkZ8fj4uHaz50Oxyef7giF wnAxOPcVGAzGsrKS//7vXzsc9gcfuHdYGw577lVVC2VF4Xku4dSrquoHH26Ni+L8+XPr6uo/+PCj WCyekZHOctwLL/x3c0tLyaxZ58/X3XPPnXaHrfvSF3+i761ateLTTz/79NOd+fl5K1fcgREmDGOx CCtWLNu6bXtt7eezy0qH9XmDgc/Pyx3WN9I9nuXLl8qyjAnmed7rzZwxo/j1zW+pqlpSMgtjfOjw 5x53Wu3hL7p7euLx+Jw5ZcYRzvJVlRUfb//0xImTCysWDGvDYc+d5/mh4wJjcurUmZaWttmzywKB wPbtO0KhMMaoZlHV1m0fv775rcLCgr6+/jWrV86ZO/v8+brsnPzBi5aWlrR3dP7nf/0iNTW1ZlGl w25nGZbjuXnz5kiS9OmnO1evWpGbk62o6mCfz8/LNRgM5eVzd+7cPbRveNxpjU32trYOwjCJth06 lnt6e5uaWmRZPnjwsCiKGOPcnOxhLeB2pzmc9p/9+39lpKffs+6uYW049LkPGxcIIBQKv/Hm7ziO EwTz7j37Emb03DllAz7fz/7j5whQf39/XV39nDllR4+dSPTDKTgfjoek9OXr6+sNBkNm5nWihfh8 PpvNNnU0bceqL28Q3AhhANi9Z5+uL38zuba+vKZpXV3dPr/fbrO53WmapjU3txYW5gNAJBL1+/3p 6Z6Ozk67zWYymfr6+hmGJGb5vv5+jLDdbotEosFgMD3dk+ic/f0DhGCr1RqLxVpb2zWqpXvcNpst EAhijFRV6+ru1lQtLS3Vbrf5/YFBF2aWZa0pKW1t7U6nc9CzQZblRH2CwaAkyxcrTcFsNrW1tSuK 6vG4rdaUaDTW1t6OEcrMzBi5dT5ST1kUxdbWdlVV0tPTU1IsiTrbbDZN0wYGfDzPcRzf1taWl5er aVpbe0eWN5MQkvDmzszMwBh3dHQ6HPaEm0LiiFNOTjaltKend2DAxxt4b2YGx3Fd3d2pLldPT6/f 7+c4PjMznQIMdVZNsaTIstzW1q4ostfrNRj41tZ2URJTXa7Eb9Ce3t7+vn6T2Zybk60oSmdnVygU slqtXm9ma1u7IsuKomRleRVV7e7qjsdFh8PucjmbmlsSa0sY4fz8XFGUDh6qnTmzbHDcTannbjaZ urq6/YGA2WTOycka2oY8z4dC4bb2dqCQlZVpNpv9/kBHZyfHstnZ2Zqmtba2IoSdTkdKSkpPT4/f 7+d5PiMjIxqNtnd0JC7hdDodDntTY/O5C41f+9pXBvXlg8FQZ2cXIdjrzTQYDIN9T1GUvr5+m82q aZrP50/PSJdEqb29PT8/DyEkSVJr6/C+MbSvKorS0dEZDIVsVqvb40YAXV3dqamurq7ucDhiMpsy M9Lj8fjl/gzgsNtDoXBHRwcAysvL0TRtaBvKsjz0ucfj8fb2jng87na7nU5HQ0Nj4ldKenp6NBrt 6u6mmpaWliYI5vMX6hIdnmXZ4qLCvr7+nbv3P/DAg4P68rKstLe3R2Mxd1qq3W4XRWnA58vMSKeU hkIhSZLsdvvIPk8pbe/oGNk3ACDRhgYD7/f7u7p6CEMyMzLMZlNPb69FsITD4b6+Poyxx+MxmYzB YHBw799kNBJC2js6o5FoaqrL6XQMbUOGkKHPnWWZoeNiYMDn9/s1jaanu1mW7erqDkciZrM5Iz29 u7t70CU0y+tlGObEyVMaJYPzIaW0v3+gt6/PYDB4MzMYhkmMZYSQKIr9/QMej3vA5xvZ56PR6Mi+ AQCxWDzRholJZnAsy7ISDAWNRmN3V3c8Hrfb7WlpqYEhQQkRILvd1tff39vbx7FcQUFeIBAY2oZD n7vL5Rw6Lnier6ur53neZDI5nU6/39/X14cJSfd4WJYZDLZtNBhzc7M7Ojr37Dv8zNe/PrXmQznI K+03rC//jy/9ICl76/333zcYDKtWXUco4YUXXli+fPmMGTOune2mMVZ7S0GWhP/Wvv2HdHvrZjKm eD43k4EB37/99D+CwYsHpgoLCv74j59hRtkNfG3TGwcPHU68Zhn2T7/5bG5usuJwI+2tSWT37r1v /W7L4NubEysQRsTzmUTG9NwnkJHxfCaR8fTn8TAsns8kUlfX8PMXfqlcqsYdSxffHMncqTMfyrL8 H//5i6bmix51Dofjz7/9p4OOdF8eU3M+zE63Pf3o4vSc0huzt374P/84Bv2t62abOXPmNSQhpj66 /pbOMBwO+//+/v8amnKNL93HHt3w8IYHL+e8ZQOMLFlSU119OeQDxlM9UMaEM6bnfrty2/TnG6aw MP+ffvj/Dr6dOls3Nw2WZb/1rT8e6izxpQYonJoMzodStF8LDT8alTzJ6ssn9LeSK3G8piilakPD 5p6ePQBw4YKalfXoihUrx1lmkgz131K1hFiMet1P6YwfTdM0jU7NBh/W869dw6GZx+TymBB8UlQ1 EXZ3jHWceK68a3pznguldOqMuzE994lC1VRKqapMiRaAcfTncXGxBW5Sm1+bSekGU2o+RADoytPK N+GiU3M+JISMawwkaW9dV38rQWNjo9PpdLvdN1wfTZOam9/x+89mZVVgHIjFPt206TlB+ElZWVki g9HoBviyfmQM1d/at2//sWPH6E2bYqY3sXisLzxQ13dhmGro9IFSGmgJvfnmW4o8feXf+gcGjICO 7eWn7bhTVLU9EHz11U2KIl8/921Ke0dHOBxDGGDyv2cnh1g8Fg5H+/v7tClgb00KFGhzc+tUmw8F g1ZVOmrYietCITm90yT1tyoqKq7rU39t+vuPNDT80uutlqROAJqdPXf9eqm39wd793IAiqLEzebn qqo2fEmHHIfqb1VWVpaXz5u28/5Npqm56aen/uPsvRcmuyKThwoFr+U9+OCDKdeMCnJ7s3//frJ9 e+X027UZJKhpW9LTN37lK9dVDLmNefvttysqKrKzh5+Mmz40NjYeP378gQemb3h1VVVffvnlqTYf Rvwd/rb9N/xxlKQeRGNjI8Z4mPrzSM6cOWMymcbjwkUpNZmcxcUrAcRESn5+zcWfOfFwQ8Phb//1 P7/00gqPx3ONEj744INly5YJwphlHYb6b/EcpyoxSRyvyqtOMihynBKqpkzTH3MAgFQEDKSkpAyq +U1DTCYTIGSdxqYGACCAlJSUaegsNQjP82azeToPhEQHmM4toCgKwzBTbT4kWng85xcQnmj9rQlR qkAoAHDxeA4CgH4AI0AQMCaJyFYA0Nra+sYbbwDAI488UldXZ7FYiouLjxw5snXr1s2bNz/zzDN/ +Zd/yYwxxuRw/S06Ae5oOkmht7OOjo6Ozm1MkvF83G63wTA8jtJI8vPznU6nz+djWZbjOL/fb7Va ZVmWZdlqtQYCgUT6GHYDEzYeCxAAYAbXvAAAfve733V1dXEc9957761Zs+btt9+ura0VRXHdunX7 9u2bM2dOf3+/zTY201iPn6ijo6Ojo6Mz4SS7n3j27Nlk9E5ra2uj0ejhw4cLCgp4nj99+vTChQvr 6+tFUSwpKUmkC4JwXR2vy4QBJAAFgABoAENMvvr6+r1796ampjqdztzc3LS0tB07djz55JMLFixw OBwsyz733HPf+Maz3rFs/urxE3V0dHR0dHQmHJzk+laS+lvPPPMMQqiqqoplWU3TVq9ezTBMdXV1 IozaYPoYKsgBRAAAQAWQAS7r+8PChQuNRmNeXt78+fO/+OILn8/34IMPHjt2LCMjo6SkBCH08ssv E4Lrj/wu+auNX39LovScrJyXFDvBC3jWes3dVYXCGVku5dgrTt4DbI3GBzSNBVTEMiUcw13pPlwn KwBQOCJw/SBBTasV5ZBG5/NsJkMaZOWQKHGAijimlGPJ9cq/YXpVrUVRF/BTVJ0lci7s2+MDBHwa b622cS4OKETrIrGWmG2RnZiIJmrhU6HwmTDr4GyLbKyNlQdk/wGf4lfMswRLmQWx09eP+5aAUvrO 2bO90ShLSGlq6jyPxxeLvX/hgqppFp6v9npzrNY9LS1n+i76KtyRkzPT5QrE4/vb2rrD4Vy7vSoz 03Cl49RgmYP5ZU072tWlUTo/PZ3F+GxfHwDk2+27W1qW5+SQiQv9oaOjc1uBkotXnaT+FiEEY8xx HEKIEJJw+WRZdlj6tQuhlFKfRqOUdlA6QCmllFCqUOq7wpnqnnvuWbJkCc/zLMuaTKb169evW7du 7dq1BoPh6aefNplMPM+PVaIwNydr/vzykfETKYBMqUIvbm8qFGRKr+ra3aaovw1F+zStV9U+F2WZ 0ncisQZZSZQgU6oBUID9cWlfXFKAxjSKAOilMjUAhdKXQ9GASv2a9no41q5o9NK2qkwpABwSpUOi BAAaXPzI4GuFgkTpZzHxqCjFKT0hyRKlh0TpUFyWAb4Q5ZOiPLL8YbegJozbi5UBbUi6TCkdUn8Y Uu3EvW+JTF05ft8en2/PAKjUt9fXs6UbANSI2rW5s+PXbeFTIQCINcfaftkqdUtSl+g/4Kcq7X6r c2BHv+yXQ0cD0frIZN+BznWQNe0/a2t98bg/Hn/p6NHmQKDR73/1xAkN4Hx//6+PHVMoffXkySb/ ZZ9XUVU/bWqqGxiQNe1kd/f+tjbtSlfCwTIHUzpDod8cO/bSkSOdoRAA7Gpu3tXcPBCL/fuhQ6ru hqijozMKGKGJ1N8aP4Rw/f1d+49tB6KAeGm3k1z03IrI0UGby+Fw3HvvvcM+XlpamniRn58PY3fC Hs1/66Qkb4nEAcBJ8LMp5tcj0QNxKZthHheMXuYKk04BiFJazDLFLIMADonyj3zh+Tz7J1bz25HY gEprDNxsjv2BL8Qj+J7NsisulfNsm6K+HYk3KsodBn692WDCaJmRpwD1cjRCtXMy3RUTn7aY/8Uf fiblYtw9mcInsfi2qDiXZx80G3bHpI9icQfGDwvGA3H5WavJS5gQ1QwIAUClgX1UMO6LSXviYinH DCsf4Ipb+DQq7ouLCCCbZbpVNYOQhwWjTOH9aPxQXFpl4gtZJlH/v7Wn7ImL5yVlNs8+LlwnAPNU QCi1uO5M7f2wV+yIA4XIhYgSUhwrXMEvgpbZKVShakQVSgVhlgAIEEFKSCUm4ljmYCwMY5+i63Y6 QzGz7F2FhQBwprc3JIoAkGW13ltcvK+1dVt9PVDKYFzl9VZlZgKAw2gMieInjY3/+447Uk2m8/39 L3z++ZKsLHzl77REmW6z2WE0qpp2tq8vzWwmGB/t6sqwfOmBTXR0dG4Pkj2fmKT+1vhxOssl6akf /vg3o2WwWgu/JPEtGN1/69OomMcQmdJ6RSUAywy8h5CPovFaUfIyVwSQz2PIerPx05i4Py4tN/IL eHaxkbvPZJjJMhvMxrOS8n40vtLI32s2sACZDDknywDwfjTuIPhRwZLYf+xXtf/PH5IprTRwXoY0 ymqbompA6xVl0IAMUe3DqFjIksOiNINlaiW5lGMXGzgnxgGqpRLCILCjy0uSBMCMkV+jI8sfdrO9 mioBLDfyr4SiT1lM22Nio6wCwIG4VMiSbdH4IntKov5lHGPBqJBV3grHFhu+rIcygXS+1hE47Dfl mdIfz9Akrff9HiaFwUbsP+hzLHOYCk3pGzN6P+wd+GzAdaeLzzSkb8zoeaer5d+bzTMF93o3Y5m+ R/RvFXqj0b/Zvt3C8ytyc/NstnP9/Tubmr75/vthSfp2VRWDsaSqz+/fbzcaAeBblZVlqal9kUgK z2OELBzXFQ6P/I2WKJNnmG9VVs51u7fV1+fZ7QCwrb5+kdd7029RR0fnlgTh5PROk9TfmgjQQw89 ed99G6+R48uzt0bz34pS6mKIRmm9oqoAb0di3arWrqjREQtoIoVMhvyFTdgRk96MxBbyrICQBaMO VXs9HAOATlUFABtGlAJ7yXEqotEsBrsJ4RDIlDoJ/nt7SpuinpDkOKUIQANoVtT4kKtpFJoUhQJN xdhN8FcE49ao+F4kvt5ssGPcqajZDGlX1EFzSgEIa1oGwQAwrHw6QrC/hGPmcuxmBDUGbkdMFCkl CM7LCosgiyEGjBL1lyi8FY5FKO1SNflW2EjJ+kZ25lNehAAxOHQiGGuIYh6LPZISUAKHAqyTM2Qb C/+uqO/D3o6X2+2L7WpETb3P7Vyb2vLTJv8BvyfbeP1r6EwqaWbzT+66yyMIGKGEK9XdRUU/XLny jdOnFU0TVZUj5AcrV1ZmZgIAQcgvit6UlL5IJMNi6Y5ECux2PMKdcWiZ2xsbG/3+qCwjhHojkRM9 PRqlIz+io6OjM4xk/eWT198aPwihL8+iujbD9bcuMZ9nt0XiCIDHiAKYEFJowqkL1Ct341SgR0S5 TlaCmjabYwlC5Tx3VFKWGLBGQQTKAIpTWsAy++NSr6oxgABgsZF7PyIeFeVFBm6FkWMB8Qgt4DmR wkdRscbAWTH6fSQe1ygAEEAUwIjQGqOhS1UdBDMI7Y6JHaoqIGREeJmBfzUc4wDKeTaTIQTQlkjs gqxmErzaZACAYeWvNxuG+vUnykcADCAMwCAEAG5CVhj5oKa5CKEUEvXvVlWZgkgpAohRakRoKrsK I4IAAeYwAFCFDuwccD+S7lrjQgyKNcZaf96cstAaOOiLnI0oASVlvhUIUkJK/+/6xA4RAEwFt8CG qQ5LCEcId2lDECPEYGw1GB6YOfP1kyc/a2qiAD85eNAjCADwWGlpZWbmPUVF/3P0aFc4nJmS8tCs WSMd3gfLjMryzqamv6qpqfJ6KaVHurp+d+aMWxCMDAMALYHAd7ZuZTD+TnV1ru3Gg37o6OjcluAk 9xOT1N+61RnNf2uJgc9lmDpFORiXCMAGwdgiqxqAlyED6mUzFAE4CF5l5Es5hkXISwgGWG3kfZqW Tsg3rOYBVWMQeAhJJTidEDvGf24TWIQW8pyHkLBG3QQzCH3XJrgIRgBVBrZAJR5CvmIxyRTuNRtc BK808gSBCaONgrFNVTlADoyrDNxcnvUQ5x/9JgAAIABJREFU4iLYw+BslqiUZjKEQ2ilkS9mGQaB i2APIQAwtPx8lcQpSJfugkWQKN+CUKJuT1lMqQTzCH1VMPZomoCQGaM5HJtOiIvgZ63mTkUFgIKL lzDfrGc1ZlLvTgVycR0CYZT2gJtzcohBAGDINni/kW3IMnBOzjI3jjlkzDEijIQSgRGIElBYJ2fI vP37/60Og/E/rFjhNl/uhKVpad+prgYAl9G4cfZsUVULHY6+aDTx30KHgyNkcXZ2usXyyvHjMUXx CEJEksLS5RnAZjAMlskR8sz8+bk2GwJACJWlpQkcZ+E4jpAUnv/PdesopRihVPPUHQU6OjqTBSYT qr91qzOa/5YZoxkcQxF0KioCsGNs5zEAyJT+iz9cryiJbC5MvmcXXAS7hujaCxgJmABANkOyL+3u sYCyGAIAMzADADxCQ/Ud8i+9NiCU2BBMH+LAm3qpcAfBjkuvE+UkIAjNGFJaKsGpV+rsDy3fhNA/ +UOBS4uXM1j2z60CgxKvmUS1E/9KZ0j6pbU8A7pYfyNB7iGFZ43wBps6cG7+8hsMxiGbg4ggU74J ALg0jku7vLaKOWwq1L87bxkwQjOczqEpZpY122wAgBByGC8+8UKHY2genpBZLtcz8+e/UFv72+PH i12uXx09Ovjfb1VWrsrLS7xmMC4YEqyMJ2To5apu9+lRR0dnPBCS3PnEJPW3bnWurb81k2UKr9Tm YRH6rs1Ch0SxZ281Tw4nwf/kuEITlrnF7kBHZwLItdl+sHIlpZTB+O7CwsF0cquNaB0dnakJSXJ9 K0n9rWtDqdbdvbexcTMACEJuScm3COGv+6mbyWj+W4OMtEUYBCPczW8xbjkbUUdnwkEAzKUpjpve AbN1dHS+DJLdT5wI/S3a23uos3NbQcFDABCJdJw58+8FBU8M/pvjHIRMsqbAUP+tSDQaDodF8Wao YOjE4nEkIhKcvt9zSAWgNBgMTnZFJhNRFFVNC6hX1RKeFgQ1TVHVYDB4XV3o2xhFUYLBYCAQmOyK TBqRSEQUxencAqqq0qk3H8Yj41K9RgjfJP2tWKzn/PmXFiz4mtHYAgAA9rq6zr17nwIwAoCihIzG dRUVz5rN5r6+PlVV3W73eC53Ywz13zp48GBdXd2YJVN1bghRFF1tMKNzKh9w/NLp6om8/fbbDDN9 Vb78fr/M8/XCqAvMtz0UoLGz89VXX0XTeNW5vb29u7vbZJq+J4JFUezq6nrllVcmuyKTSV1d3VSb D60mmFtw45tylCa3vnVV/S1Jkk6cOHHy5MlhmW022x133GEf4liauFY83svzVoBEyJdYQYEjP/+7 AG4A6Os7/p3v/LPRuLiysvKdd97BGD/99NM3fFc3zFD/reXLly+YP0/Vpu9P7ZtJc3Pzyfc+fqz4 0GRXZNJQKX4RHtj41a+mpIwlxPrtxe7duzHGixcvnuyKTBrBYPC111575plnpvP61qZNm6qqqvIu HVOYhjQ0NNTW1j766KOTXZFJQ1XVF198cePGjVNqPgz72jvOf3LDH5dl7cb1txBCgUDgtddey83N raioYBimo6Pjgw8+uO+++5YtWzY0J6Xq6dP/PjBw9MCBHyLUAwCDLuYIk4yMCqPRrGla4hKJF+Fw +Gc/+5nBYPB4PPfffz8AfPLJJwcPHrznnnuqqqoGBgbefvttVVUVRfnmN7+5a9eurVu3pqWlPfjg g4VDfF3HylD/LYxQNBIUxakbEPB2IhoOIqAMvv3PZIyKBgjoYNTR6UnCyNBbYJp3A4zxNG+BxL1P 5xYAgKFRmKcI46yMJNOkdnDcbndeXl5PT48oiuFwOJHIsuySJUu+//3vW63WwsLCZcuWIYS++tWv Pvvss7Yr5f4oVfv7j1RX/31hYWFBQXVBQXVBVnVBSnWBrSruS/nHf9za3t427IrhcPiDDz4wm82f ffZZU1NTc3PzO++8k5KSsnnz5kAgcOjQobq6OkLIRx99RCnNy8tbtmyZJEmbN28eT3OkpTpzsjwj 9bd0dHR0dHR0dG4YRU5af4sQcvr06YULF9bX1z/11FOJdI7jFi1apGnaG2+8oShKRUXF+vXrR+wk AgA4nfMMhrTUVDNCQQAADYAFiqltINbbc7Curk2Wh68k2Wy2tWvXfvHFF9FoFAB27drV2trqcrkw xr29vV6vt6qq6sMPPwSA06dPv/vuu42NjeNZ3ILR9bd0dHR0dHR0dG4YTU3O3krob61evZphmOrq 6qH/YhimpqYGY3zu3LkNGzZc1djCmJs5808OHvyL5cu/j1At+AFkAAoogGYYcpZUCy+++BGlIwIn 9/a+8sorhBCbzcYwzP3335+enp6fn28wGHJyct54443+/v6EKdba2moymUpLS6PRqKIoN7zod239 LR0dHR0dHR2dG0BL0l8+ob+VsGNYlh3238TG4uLFi6+h0cVxNrd7cUPD7nx7FshdQAFCAGHAmJkz Z9a+w+dray9+9o477ki8EAShtLR09erV2dnZGOMnnnjixIkTRqORYZiFCxcqijIwMHD06FEAeOih h/bs2TMwMDDO9a3r6m9dl2ZFPS7K95n12C9TiL4g3XpMeWQRG5fpf38ib6hmvE78bq1Skom9TrTt mCqrcF8FY2Bh9xl1016ZYJSTitZXMjmp+KcfSItnkooC8vpeeVExyU2b1icodXR0dHRuDAoTpL+F ELr2AWaWFTyepVu3fuVADAEbB7h4TpECDWsBQrTOzos5Z86cmbhidnb2unXrBmNXL1iwYMGCBZdK Y9euXdvd3b1t2zYAcLvdGzZsSOZGrs1o8RNlSoMaZRAwCJkRCmiaTIFHyIyHR2geULXDonSf2TCY x4RRUNNsGCOAoEYFjERKoxo1YWRESKY0QqkFY5+qcQgBUAxIpNRKMAMQ1miMUhaBgDED0KdqLAIE SMBIoTSkUQCwYqwrwl8bjUJtnVpZSLr8dMthJd2O75iFPq9X89Nw+wD9+JgiqzAnB8/IwGfaNIFH 91Ywe8+qb+5X/vxebssh5UKnNisT7zun5qXh3LTJvhkdHR0dnVsQlKS9NX79LQBwOss57i9f/PUv AYad8HQrClRXc+YhcV7T0tJ+9KMfDRpbVyWZPGNiNP+tQ6K8JRIjgBwEfcdqeScSPyxK6YRsEIwz 2as0oEJhMM9dJsNnMfERwegk+Deh6GIDd1ySD8SluTz7B4KxSVZ/Hox8xyr8JBD2ECwDWDEOadod Rn6Fkd8dF7dGRQGjO02Gap7924Ggi2ACsFEwnZbl9yJxO8FPWUxl3PAVR52hWIyoNJvsO6cOhGlF AfmiQbWbwWZGqSlo3zl1lhfLKhxp1HJTMQAQAhoFVaMshxJvjRzacUqdBuGsdHR0dHS+NNA49Ldu 4GobNjx9//1fHe3fQ/2uEEJpaddZTEgmz5gYzX9rb0xcYuAVSo9IMoNgqYETMNoWFU+I8lXtraF5 LsjKTJapFaVMQggCI0Yfx8RChuyNiXcYOApgxSiDIRFKlxr505ISptr9ZuPLoegdBq6cZ1WAA3Hp 02i8mmfjlK4x8sck+bgkhygt5JhqnsubSsdlpyYGFmZn41d2yRTgnnLm9b3KgfNqcQZWNXjrgJzl wkDhwDl56SwCAPvPqT0B6o/Q//MHPAAIBrRyNjlwXuv06cq3Ojo6Ojo3CErS3rqq/tYNXQ9N4HLU hDOa/xZCoFxSmlcBNoVjPEIcQjJc/Tt4aB4V6Hye+0Uw0k20HJY4MAYAM8Z3mwxphLQqKo+QAQGH oIxjO1XVDiSbIRGqAcDWqNihqCxCMqUAgAEIQgQQg9ADRv6wKO2OSzxCNYap26RTAYTA68QRETCC PDf22NHRJm3dAmbfOdVlQXlpGCGQVThcp6oaPL6EfWwx8/pe5VSrlu1CGMGsTNzSS3+7S1/g0tHR 0dG5QRDAGPS3rpvN5/PRWzkAzmj6W0sM/IG4tDsuJb5yi1mmSVFaFUWjoFx5uywCM0ZD81AKFozT GFKvKHM4NgWju418i6KclZWEb1YivwsTBGBGmAOEAKwYA0AeQ/pU7YKkYACJQpzSbdF4h6qWcMxH sfh70TgApBPdg/v6pKagykJSloWznGjpLJKTirNd+HSb9uwa7o/Xss+uZp9dwx5p0ggGnoUUI3qg kglE6cELmisFmXi0ZBaZl4encYQVHR0dHZ3xkeT61tmzZw0GQ2Zm5rWzbd68efny5TNmzJiIqk0C o/lvLeS5WRxzXJS3x0QCcL/ZsNzIUwATQnWyErtkYiKAEo7JSjEPy9OqqAzAQp5LZwgBeEQw3mUy IIAUjL0MyWIIi9D37EIKxnebeAXAiNDf2CwsQjUGfjbPKhRYdNGSe8pichBswTiTkLVGA4dAGP1M qM4gHAN/uIKVVWo2oLvLmcUziNWMvnMvazEiAEAIZmTgb9/Nmg1IUSlC4LaiJ5ayADA/D9sElJaC XvqmwcTrBpeOjo6Ozg0yBv2t62abOXPmVfW3bhVG899iENgQzmOZBRoFAA4hF0EAoFDYExdblIsx Fq0YF3FMYmnqch6A45LMIbTWxCcUxjiEnOTyN3ci/+CnEluDToIT17VfOgGpUFhlNLgZYkYIAASM BNC//scAzwLPIgAgGOwCAgCr6XIDIgROCwIAYC8mGrnEXwQACIPNrLe2jo6Ojs6NgtAY9LeSyTn+ /URK1YaGzT09ewDgwgU1K+vRFStWjrPMJLm2/lYWQ7KYK0RZGQTPpJivmvlyHoBHBeP468Yg+IOJ KEdHR0dHR0fn5jMx+lsJGhsbnU6n2+2+4dpomtTc/I7ffzYrqwLjQCz26aZNzwnCT8rKyhIZjEY3 fGnrOqPpb+no6Ojo6Ojo3DCU0onU36qoqLiuj9e16e8/0tDwS6+3WpI6AWh29tz166Xe3h/s3csB KIoSN5ufq6rawHFcU1NTamrqUMmu8TPUf6uvv9/UxsmSOIHl64xGT09vSOQa/M7JrsikoVAsqqSl pWViu/StRW9vL8a4oaFhsisyaQSDwWg02tjYSMjw+GbTh2Aw2N7ePtm1mEza29tDodB0HgiKooii ONXmQynSO54dPJpkPJ8k9bfOnDljMpnG48JFKTWZnMXFKwEuGjr5+TWQkF2IhxsaDn/7r//5pZdW eDye559//oknnqisrLzha41kqP9WQ0NDPB6HURQfdCaWQCBYi9x7WMtkV2TyoGCOEHttLc/zk12V SaOzs5NSGosND10/fVAUpcHX+H/2/0NyB8dvT9hOdh/dT5un79yLgzinJ/vAgQOTXZHJpKurq3aK zYcGIhZnjOPzSdpbyetvJenmdW0QCgD0XXwNAP0ARoAgYEyUS87pmqZpmlZXV7dp0yaWZefPn79s 2bJwOLxly5aWlpaHH364pKSkqakpGokkf92h/luVlZXz5pYqijL+29G5Li0trXtP7ut9LDjZFZk0 kIpsobSHHnrIah1+PHb6sGvXLhgSQXUaEggEDgdrex/pp2T6Whv2zbbowqiYN339OvhGbtXnKzdu 3DjZFZk0FEXx+XxTbT4M+9pbTm+94Y8nq3fqdrsNhuvHYM7Pz3c6nT6fj2VZjuP8fr/VapVlWZZl q9UaCAQS6WOQPE3YeCxAAIAZXPO6TF9f3969e9evX79p06by8vJDhw4dPnw4MzPzrbfeKi4u3rJl S7bNP2tBsle7wn+L0lg0IorT96f2zSQWDU92FXR0dHR0dL5EJlJ/q7a2NhqNHj58uKCggOf506dP L1y4sL6+XhTFkpKSRLogCKtWDRdcGJUwgASgABAADeBqJl9mZuaaNWs+/vhjVVW7u7t37NiRk5NT VFSEEGpta3NxY1hvG01/S0dHR0dHR0dnPEyw/taMGTOqqqpYltU0bfXq1QzDVFdXY4wRQoPpY6gd B5DYD1QBZICrLYLU19f/6le/ysvLMxqNBQUF69at83q9ZWVlGOPZZWVWdgx+l6Ppb+no6Ojo6Ojo 3DDJ7ieOSX8rsV04eL6GZdnEi2Hp1yiB+jTgKfgvJTEAEoAPhp4MePzxx/Py8hIKFPPmzSsuLhYE oaKiQtO0pqYmlmURQvfee2/7mQ+TqXaC0fS3FEVhRoSFVlUVY6woyuAN6kxlqEqpSgEAYYQISoiK UJUCBcSgoXkuZ6BAFQpAgSCEdb1TndsCDTRFAwCEEGIuDoREVx98S1UKGgW4lIECVSnVKCIIkdth IGiJ2Gzo0mwAw1tg5Ngf3iY6OmMkWXvrpulvEcL193ftP7YdiALipdU3ctFzKyJHB09j1tTUAEB7 e3tRUdH69esTiSaTafny5YOlOZ3OviTczgYZTX/rV79+ZcmSmpkziocmfrpjpyiKJ0+efubrT7lc 1xIy6O/vdzgcSA+/N6n0fdjb+osWbMAGrzHzyUzL3BSq0N4PewIH/DnfzuXcvOyTu9/q8u0dMGYZ 0zdmmGcIoePBrjc6xU7RvtTh3uBhLEkNFh2dqUz4dOj8989hDrMO1v1wunOVEyHkP+jvfrPT+0fZ 5hlmTdJ6f9/T91EvMRP3o+m2KpvYHu98vTNyOizMtqRvzOA9U+jI2A1AFXr2z09LPRJika3alvmH WUwKI/VKrS80m4uFtPVuzOFhYx/zeFib3B52p87NBCFgkjEDbpr+ltNZLklP/fDHvxktg9VaONTd vry8PJlA2kkymv9WS0trS3MLwTg3N4dl2WAw1NHRcebMWavVWt/QIMtyT28vQ0hvX78Yj6elpdls tpaWFgqQnZXV2dX14x//25NPPlFYUKBRzeV0NjY25eXltrV3yJIsy7LXmzGlJEZuV8Ru0bnK6V7v 6Xm3u+e9HsvcFLlf8u0a0CQt8EXAdWdqrCnm2zvgfToLG0m0KWoqNve8200sTO5jGbG2mNgeZ2Ze PfCAjs4thBpVDZmGgv9d5N/n6/ldl2O5gypa3wc9VKMDO/pMBSYloHRv6fI8kmHKM0brI5qo+Q/4 xc549nM5SliJ1kdveXtLo1KPVPB3RaDRpp82OZqilrKU4OcBJaD49gzYlzl4Dz9s7LNOblibENP0 FUjTuTEQBiYZK/2m6W8BoIceevK++651DnaovYUQmsCIjaP5b6ma9tnO3fsPHLrvvnvmzZ3z+uY3 z5+/4A8Eliyu0VTt5MnTA76BSDhyuPaL1NTUO+9cFY3Gdu3ao1HtzjWrB3y+L44cLS4uqqtrYBhm 5YplP/7Xn/zk+X9+8cWXRFFSVGXNqpV33bVmom5B5xoEjwYxT+IdoqnABBoEDge4VC6l3Bo6EbRV 2TkXZ8gwBA75hRKLtcKGMBLKLMEvgoFav2VuijHXNNnV19GZGKKN0d73euJtMS6VQxgFT4YwjzPu z+z9oCfWHONcnLnQHD4ZorJmrbRhAzbmGkPHgv69Psu8FMvs20EkT5O0gR19QIERCDES2SdFzkdc d6aGToRCR4PcWtewsa+J2rA2mew70Ln1wDg5Wb2bqb+FEOKuyTjLvwa5OVnz55eP9N/CCC1ZUrNq 5fJPPtmhqurxYyee2PgH5XPnAkA0Ftu6bTshTPGM4qxsb3a2Nz8v9+DBw/UNjW2t7fv2H1h3z12z Z5c9sfExjJCqKIqqyJIMAJTS5cuWrF296osjR7+8O9IZBuKQrdrmftCtBOWuNzv9B/wdr3b0vNsT Ph3iPbz3j7KNuabgkUDXpg6qUNfa1LT70zSRdr3RFfw8MNl119GZODAIsy3eZ7OpTHvf7/bt87W+ 2DLwWb9vzwAxkaw/zrbMscQaoq0/b1GDimVeSvrGDMbB9n/c1/dh72RXfQKgsqbJlLGzGV/zGrKM kfORnne7O15t9+0Z6HilXQkqw8Y+k8IMa5PJvgOdWw+EJ1p/y+VyjbtWk8Zo/lsIoXSPBwBCoTAA WG3WlpbW3r4+s2A2GAzV1QvbWtvml89bs2rlvv0HPt6+w263zZo5Y8GC8uKiQgBIsVhCoZDFYmlo bNy372Ds0s5sV3cPy7KCoG8m3iTsSxzep7MAACj0fthjniXYqmzERMKnw4GDfs7Nh0+GhFJBCSmB A36gNHg0QFWwVduidZF4x/X303V0bgmEGYL361mJ18EjQcTg7G/lck423hoPnw1HG6Ph0yFzkQAA XW90ajIVG6KxlljKPKvUIUYujEFBespCBCbjq5m8mwcANawGPw94HktPmZeixTXfPp9/v49JYYaO fTWm+vb5hrbJZN+Bzq0HIROtvyUIwowZMyaibpPAaP5bXq/XaDICQHZ2FiFk9aoV2z/9TFO1VJer tGTWouqq/fTgm2++3dHZ5fG4775rIcJ406Y3Pv74E57j8vPz7rnnzmPHTyyuWdTY1DwwMFBUWIAQ 0jTt/IU6wWx+8MH7JuNepx2ck7t8DlGhYqfoWpuaMi8FEJhnCG0vtRIDBgRN/9pIBJK+MQMx2JRn 6vhtR+RMWJhtsdVM2La1js4kQkzEmHdxc5yqVOyMWxdYnWtciEGWeZrUJ2lRlXWwrb9o1uKa+yEP a2Mxj317fd1vdhm8Bs+j6ZNb/wlBKBXwJWlGOSBrMvV+NYOxMkABG0n4ZEgotXS93jk49jGHOSc3 tE0mt/46tyIMM9H6WxPoTXXzGc1/65mvP4kQQggVFuRjjJctW7p48aJEytq1qxiGeeihBzRNo5QC IIYhAPA33/supRRjjDFeuWKZqqoMw3zzT/4IADRNYxiGELL+/nVz58weqTSh82WQ9oCbahd/lSIW ZT7lRejiuW7GyuQ8l4sIMmQa09a5ASChB8FnGHL/Iu+yQoSOzq2PUGYxz7joMoEISr07LSH0AACY w95nshACQMi+yDGohsCwTOZT3syvZV5UQ7jFwRwu+NuiwRsxZBpyvpWLWAQAgMC60JpSnoIIumLs I7Avcdiq7bo6jM4Ng5PcTxyT/tb4qgSUqg0Nm3t69gDAhQtqVtajK1asHGeZSTKa/tbgvSdsI4TQ MM2thF01NGWoFYUQSrxNaI8l/j5w/73ZOVm6dtfNA8FQm2mY/XRx8kUwbCa9bQSHdHQGuWhbXHxz 9XGBWARwZfptNBCGWY1XNMil/w4f+2h4m+jojAmM0NTS39I0qbn5Hb//bFZWBcaBWOzTTZueE4Sf lJWVJTIYje4vr8eP5r/1ZbBgQflNuIqOjo6Ojo7O5JOkvXXT9Lf6+480NPzS662WpE4Amp09d/16 qbf3B3v3cgCKosTN5ueqqjZwHNfU1JSamjqxylV6/EQdHR0dHR2dCYfS5PYTb5r+FqXUZHIWF6+8 qCgPkJ9fA0ABAOLhhobD3/7rf37ppRUej+f5559/4oknKisrb/haIxnqv3X+woVg0Kco8gSWrzMa fn+A9BJh7/Q9qolU0PzaoUOHeP7WFpMcDxcuXJjsKkwy0WhU6ZXN+0zJCfXcnrBdjPGYke2Yvr4W TD/p6ujatWvXZFdk0lBV1e/3T7X5EKshGzOWANBXomnAJONvdTP1twAAoQBA38XXANAPYAQIAsZE UdREuqZpmqbV1dVt2rSJZdn58+cvW7YsHA5v2bKlpaXl4YcfLikpaWpqikbGcHp5qP8WQigl5Rb2 /b+1UFQ053xo4bGGya7IpEEB7ejl1I8+gokYQbcqkgQAcPbsZNdj0iCUeo2uR/Gj140zextzCA4V sAVOcq0gabc3vai3qWUndP9+sisyaWCAoBz8hXhcG4d9M+FkKKY/Yhff8McVhTLJOLgnr7/ldDp9 Ph/LshzH+f1+q9Uqy7Isy1arNRAIJNLHoFmaaGoWIADADK55Xaavr2/v3r3r16/ftGlTeXn5oUOH Dh8+nJmZ+dZbbxUXF2/ZsiXb5p+1INmrDfXfKioqKistlqWb4culYzJx0rngHVn1k12RSUPR8MnO /EWcyTqNv2gT3DGNw1sFVPW8ICxdunQ6H1tua2ubO3dufn7+ZFdk0mhoaBD37ZvOA0GhdLcUilRH 1RR1sutymagfwTiW4BWFTrD+VjQaPXz4cEFBAc/zp0+fXrhwYX19vSiKJSUliXRBEFatGi64MCph AAlAASAAGsDVTL7MzMw1a9Z8/PHHqqp2d3fv2LEjJyenqKgIIdTa1ubixrBacIX/FqWyJIliLPmP 69wwsjTClNbR0dHR0bldUJSJ1t+aMWNGVVUVy7Kapq1evZphmOrqaowxQmgwfQwV5AAS+4EqgAwQ vkqW+vr6X/3qV3l5eUajsaCgYN26dV6vt6ysDGM8u6zMyrYnf7XR9Ld0dHR0dHR0dG4YNUl7a0z6 W4ntwkH/g0GJqWHp1yiB+jTgKfgvJTEAEoAPhm59Pv7443l5eQkFinnz5hUXFwuCUFFRoWlaU1MT y7IIoXvvvbf9zIfJVDvBaPpbOjo6Ojo6OjrjYWrpbxHC9fd37T+2HYgC4qXakYueWxE5OqinWlNT AwDt7e1FRUXr169PJJpMpuXLlw+W5nQ6+5JwOxtkPPpbAU1LwViloAA1IF0TbwqhahCOU6sJaRT6 gtRpQQSDP0otBoQRhGKUEDDzCADCcRqOAwBwDKQYEUOgJ0CtZsQz4AtTmxlN5QcrqepALAYABGMr z3OE+GIxUVURgJFlBY5DCPWEw4nxgwDSBAEBRGU5LEkYIQvH8SN8hgbLHMyvaNpALGY3GlmMAaAn Ekk1myOSxBHCTQHPs+5IhFKKEBJY1sxxo7VJIrPDaOQIUTQtKIqyphkZxsLzI59woszB/JTSkCQR jM0sCwBhSeIIYQnxx+P2scw2OjpfHqONfYxQCs8bGCYsSeFL3skCxwkcRwEC8bikqhwhVp4fOdkN jp1EfgCIyrKsaRaOwwhJqiqpqsBxiTlhCs+Ul6Ag9YgUAGHEWBhswABAFSoPyKydTUjgaqKmhBQA YCwM5sd7kgklGT/xpulvOZ3lkvTUD3/8m9EyWK2FQ93ty8vL8/LyxnPFoYxHf+vnwcg6kyEF43pZ WWHkz8lKPkPYqfz9PD2gAG392s961vFoAAAgAElEQVS3yX/zEOePwF/9Jv7dB7g5OeQ/P5LXzCEF Hvz8exLB6M/uYe0CeuuA8vNtcoYDpaagRxexS2aRP3tJvHMe+coy9v/fIj1Sw8zPm3yTYjSOdHV9 8/33s61Wm8FwZ0HBI6WlP9i9+0R3t4Xn82y2PywvdxmND23e7DKZMEJpZvOPVq9mMX7n7NnPmpoQ QncWFNxZUGC58vT1YJmJ/HaD4Xh3978dPPhIScm6oiJF0763ffs/rVr1UX09i/HG2bMn694TSKr6 9S1bNAATw8x2u/+koqLR7x9sk7X5+Y+WlSXaxMxxAPCtysqVublHuro2nTzZFQ6XpaU9Wlqab7ej EWVSAI6Qb1VWrsrL84viv+7fTxD6s+pqu8Hw1pkzLMar8vL+7rPPfnb33VPB6NTRuTz27fan581z Xhr7JpZdmJHxjQUL3jpz5ue1tR5BAIB1RUXPzJ9/vq9v06lT5/r6cqzWDSUl8zwe5spNrcGxk8gv qepvT5w40tn5V4sX59lsR7q63j9//m/vuCMxJ7iFqb5NJPWIRx89wrpYYiTWSpv361nETEInQi0/ a3Jv8LjuTkUAXW909m/vwxx23Znquit1nFfEODm905umvwWAHnroyfvu23iNHEPtLYTQBEZsHM1/ 64yknJRkG8blPOskeEdMrDZwHYoKAPksc0FWGmWlUVZlCkaEzAjti0s/9oe+ZjHdZzbqs+/kggCs JsQxcKJF6/LRcBz2n9NMHJIVahdQQ7cWjoOi0gtdWkUBEWV4cjm7cSmzaY/8yQllySzSPqB9cgKW l5JwnEpTW4uNUlrt9f7L2rU7mppePXFiw6xZkqr+3bJlRU7nvx04cLSra1VeXprZ/PL69QmbgCNk e0NDVJZ/uGoVBXj7zJnDHR0rr/z1kijz+TvvTOSXVPWTxsaytLSdTU135OQYGcYXj1MAUVGmyHkH lpCf3HWXSunf79jRFgwm6v/jtWt3NDa+dvLkwyUliTapzMwEAIJQUJI+uHDhD8vLc63Wo11db50+ /ReLFg37mkmU6REEghCltH5gICxJiqZd6O+vyMhI3DsF6BmL9IyOzpdKop/PcLme37//yKWx/5v1 68/39/9w9+6vzJkjKsqTc+c+XV4OAAghRdPeOH16RW7ud2tqGny+zadOFTgcw9ZrB8dOYumrOxI5 3t1tMxhq29uzU1Iopb54HAASc8LUhwJwadzs/5kbuRBp+FFd+uMZiEUDO/qFUmFg14B9qYMY8cCn /c6VLucaV/RCRI2pyS1PjUqy8RNvpv4WQmgMghETymj+WxpQBehRSepS1T8QjK+Fo7M59pAoAYCb kDfCMTMCv6YBQJuivheN320yhDUq0umsWTiFMPNofj7Zc1qNSfSucnKyRXVZwJWCrCa07ZhaVYQR gr1n1FmZGADe2Ccfa1ZlBe4uZwDAbEDz8vC7tYqsTPZtJMH+trbvbtsWU5RyjwdjrGraTw4edBqN FKDI4QCABp/vf23fjhESOO6va2ragkGMUKrJBAAsxi2BwFXL/Mtt2wSO+6uamrZgMCrL9xYXv3f+ /MG2tuW5uTf5Bq9LWJJ+sGsXRshlMjlNps5QKNEmQVGcn54+2CaJn/WPlZYWO51n+/oKbDYjy+bZ 7f9VW6uNEMhJlMkzzGOlpfPT0w+1t1dlZiKE9ra2zkod709eHZ0vg0Q/TzWbgdLBsf+97dsjkjTX 7U6s775x+vSp3l4AqMnK2jBr1qne3j+cN8/MsoV2e93AgKQOF2IYHDs1WVmPlpbuaGzMt9vnp6fv bm7uiUZv/j2On1hj9Pz3z2oitcxJISYSPRdRo2rqPWm9H/QEDvkdK5xpD7oDh/yxpqhztYu1sjC+ n1QkyfWt5PW3XC7XuGo0qYzmvxWntFFWj0lyAUsBAAOSKJUocAhESjsU9f+xW7rUy4cnK3g2lyUr jVfxBdG5+bAMFKXjLYcVBsPquczxJm33GXXdAqbTRzfvk1kCGgVRgtVzGABYUEDuKCFbjyilWZgC 8AwsmUk+OqqeaJlCsnujUWC3f2XOHCPD5NntBCGE0Jr8fCPLnuzpybZaAcBtNj9WWprwtbIZDAk3 Do1SDYDB2HA1zacCu/2J2bM5Qowse6Ct7YMLFw61t/dHo33RaEVGxk2/xevAEbKuuDhDENItlnRB 6AyFCuz2h0tK3jlzZkF6OgJACK0tKJidlgYAhQ4HpdTEspKmGQDiimLhuJFjNlGm22wucDjqfb7N p06xhGiUioqyehprROlMZRL9fI7b7TQas63WgVjMbTZvmDVre0NDocORcL6syMhYP3MmAHgEAQFY eV7SNAoQV1WbwYBHOMMMjh2PIPREIu+dP98TjW6tq+uJROZ5PHajcRLuc3xwabznkXRiIoYsIyLI f9Df91Fv4LBfHpDlfslWbbctspuLzZGzkc5XO1gHCx7LeC6HUHLrW8nrbwmCMGPGjPHUaRIZzX/r c1E2IlRl4PpVTQPIZ8neuHhclCsMLEYgYLQzLnaqV3wfpxPSpaougnWTayqQbkMCDwihnFRclI4P XlCL0vF7nyvfWMMuK2WAwq7TymenVIRooQffOY/hGfjkhHofjwAgy4VnZdKXd94Ca+QeQaj2egff YoTmuN3zPB6M0PaGhiqvN5EIALKmyZpWlpZ2oL19Z3OzomkapbOvdtJlsMy6gYHuSORnd9+dbbX2 RaO/P3/+SFfX4PmVJr//QFubmeNKU1NHztQ3DY6QqsxMzxDfEY8gLMvJcRiNH9fXJ75XBlE1zcxx i7KydjU32wyGtmBwdX4+GbFCP1imrKq/OXbsGwsWLMvNBYBdzc2fNTYihBL7sxFJOtTezmA82+02 s9M3Fo3OVAAjNDstrWrIV7aZ45ZkZxc7na+fOnW0q0ujlFwap4qmYYTWFhR83tHREQp1hkJLsrOF EbtMiTKrvV5K6asnT64pKFiTn29gmCOdnQfb26u83sRcQCn9orPTYTTm2WxT3IuLmIm10oY5DADR uqjUI858vsSQbZD75N73uwOf+5WAgo2EalSLq3QihFcnWH9rAr2pbj6j+W+tMRrei8Z6VW0uxyKA DWbjrri40MAWsIwFoftMhuOSUsGzDoIxwAKeIwg9JBg7VK00EY9IZ7KxmtH6Klaj4LGhdQsYrxOn 21GGHd85jzgEBACr5jDvf65kOrCBQyyBpSUMxkpvULtnAZNihGWl5Lm7WVfKlH6YiXX+oSlLsrJc JpOBYe4tLv6sqSkmy2Vu9+unTgGA3WAoTU0tSU0NSdJ758/vaWn5TnX1rBGL04NlJg79zU5Lm5+e zmDsNpsDoqho2t1FRQLHzXK5jnR1/fbEiVybrWTyttgQQuuKioZ+TyTqjxEqTU1VVLUtGKzMzDzY 3n68uxsAHi8rq8nKureo6K0zZ/7twIGFmZnfW7x4mLE4tExZ0zIsljsLChxGIwCsys9///z5zJQU AyE8IbPd7tdPnWIwTjOb82/laVDnNiAx9gff8oSszMsjGGdaLPcVF5/q7S12Oo91d//2xIlE5kKH Y3V+/rvnzv3r/v1mlv2HFSuMI1a7B8tUKTWzbGVmZo7NhgCW5+X54nG32Vzj9SKEarKyPrhwASH0 eFnZVLa3MIcdK5yIIAAACoBAKLOklKcgBvFpvBKQAcAyN6Xn3W6pW3Q/nG7MM8L4ws1oVEMfvPVf d97/lBj1N5/dWVR+f9Opj905CwT7FUtZJ0+exBhfVw9i586dM2fOHI8eBABQqjY0bO7p2QMAFy6o WVmPrlix8gaL0tRztW/mzFzG8qbm0ztYFptTUjG5uonJGqzBGBMX1Zyc7N27PsOEn1Gcp+vL3xza 2zsbP/vHjTMPTnZFJg1Fwy/Urv4KN+vmx/OJSNKL/5e99w6P67ju/s+ZuWUbdhdYNBKFBEAALGAB K0iRIiWSahRFUdWUrJJEcRI7tuPYyeskz2v/3jyOncTJqzivU/yz41cukWApksWoWaJkSqLABkoU G9gAEJXofdstM/P+sQAEkgC1JCAuiZ3Pw4fPxd25M+fe3b177pkz3/PRR2d6eh5fvLiqubmhf1j4 LpbjdS2nCd4PhSBB9XzebWh4oaZmUWbmvIyMF2pqRvc/vGDB2vz8a2bGAGO/9Hj+4OtfT+Z6Ps8+ +2xFRUWS1/PZ/y//8kjKpGavro6TXV3/cfiwW9O2lZb+4uhReyTOsiYvb0dZ2TUzwxbib82OvV9v va7q+eT2e756dtOMnAWKosF4UXzbMrrO1xWXb0VCAYBzq+PcIUVPSZ85t77mg6df/M71pb/FudnY +HJ//6m8vOWEDEQiv62s/LLH84OykXfa6cz67GJGk9HfkkhuUFyq+sTixQ0DA3ler1vTQiOqPLEc r8Tads2oyM3N8ngQINXheHSMsMWctLQEWiWRXGOKA4EvrlgRtqzZfv/DCxaM7s++jiNVNwpcXGf6 Wz09h+vrf5KbW2GabQAiP3/x9u1mV9d3qqo0ANu2o273l1etul/TtIaGhoyMDPeUPgpPRn9LIrlB QcRUpzMWxxo7B5FUOBRldDr1ep4EkUg+UxRCRmfDxyaDSiZPvP7WNdPfEkK4XIGSkluHFeUBCgvX AAgAgGiwvr76K3/+/Z/+9Jbs7Oynn3760UcfXbly5VWPdSmyfqJEIpFIJJIpR8Tpb11L/S0AQBwA 6B7eBoAeACfAIBBCbXt4Npdzzjmvra2trKxUVXXp0qXr168PBoM7d+5samp64IEH5s+f39DQEL4S EcKx+lvVhw6drT3NLtEgkXwWhEPh/p60Z2uWJtqQhMEFtoZdO+1w8qbtAJw3TURsuaKS9tMLQ4jG cPj5559PtCGJ5MyZM4ODg16vN9GGJIyhoaE2w3g20WYkEA7Qa/HAq2mgXEcLw/2KAyajgROnvxW/ /lYgEOjr61NVVdO0/v5+n89nWZZlWT6fb2BgILb/CuRMYzdeFWAAQBmNeX1Cd3d3VVXV9u3bKysr y8vLDx48WF1dnZOT8+KLL5aUlOzcuTPf3z9vWbyjjc3fmj179qJFi4ZDa5LPmPOt50/2v1cxszHR hiQMJrDNmrXo/seS+WfmyJEjnPPy8vJEG5IwQqFQ365dy5cvT+Z8+aGhofnz508yNeWGprW1VQhR cdttiTYkYTDG2l5++fElm6+r+6EZ6uKDJ67++Dj9rfj1t8LhcHV1dVFRka7rNTU1K1asqKurMwxj /vz5sf0ej2fjxrgn7IIAJoANQAE4wHguX05OzubNm3ft2sUY6+jo2L1796xZs4qLixGxuaUlXbuC eNvY/K2MjHS/12ma10mdkmmOw0G9WqTQ35NoQxKGzYlLg4KCAp8vedMHW1paACCZF6YNDAzoul5Y WJjM/lZKSkpOTk4yfwwAoLm5OZmvgG3bLpfrersfBvv0pppJ+FtTrr9VWlq6atUqVVU555s2bVIU paKighCCiKP7r8A6DYYV9BmABRAcp0ldXd0zzzxTUFDgdDqLioq2bNmSm5tbVlZGCFlYVuZTW+Mf 7YL8LQGcc8ZuhDIuNz5czttKJBKJZPoSb/1EznmciVlCiNh0IR2REVJHpJYv2n+ZHkQfB11A/8gu BcAE6IOxlc127NhRUFAQU6BYsmRJSUmJx+NZvnw557yhoUFVVUS8++67W0++EY/ZMSaqnyiRSCQS iURy1cRbz+ea6W9RqvX0tO878jZQG4yR6BsdztwKWeHR+iFr1qwBgNbW1uLi4u3bt8d2ulyuDRs2 jPYWCAS6r0RASOpvSSQSiUQimXLi9beumf5WIFBumk9+9x9+PlEDn2/O2HT78vLygoKCyYw4lon0 t5ptlk6J80I92V7OmYBezgsVql5VwTgBcMK0LAEUYQalgUsrt11Ik81mUqqMlB84Z9kFqtJis+6R 0o25Cs2gpJfzNpsRwDyFugn2cd5oMQKQTskMhU7B8tEbDYtBUxcvyCJCQE0LL8xCt47NPdzvQpeO 7X3C5iI3QCiB7kFR284Rwe3A2RnoceDxJj4jFdNSsLGTZ/jQLUuQSyQSieTKoXHOJ14z/S0AvO++ J7ZufeQyLcb6W4g4hRUbJ9Lf+o/B0L1u5xL9ghq0b4UNW4iqqPnXad4MejU/w92M/2XP4EJdFQA+ JF/0uVMmLm/NAOosO5MSBTB27D/0B3+Q7vvRYKif8zRCAGCb2+km+LOhcIfN0imZp6qbXPpbYeOV UGSepmZRstGpF6pJl4fb3if+6TXz2w/pPUPi6z+L/tX9+rJC8uNd1t3Llfx08r9fNW0Of3mfluXD lw/alVXWvFxq2WLTIuWeFcqf/8K4dSH96hbt6VetR29WVs651sV2JBKJRDINULXrT38LEa9AMGJK mSh/iwF8EDWOmOZ2tzOFkBOm9X7EqLPYIl21QQxwftayZyt0pvLJj3FIiJ8Phdc5tDqLLdVVDnDU sLa4HT8ZDHkIOhC3uBwAkEnJX/pT6m37XwdCphBnLLYzFFUANrr0hZq6MxQZ4MIQ4g6nI1eljTZb KkSIizfC0QHOBzkHAALwuMdVrqsAoCD2MX7StB7yuJZoag/jCiIHscXteMDt2hMxfhsxktDf8rsh J418VM86+oXfjftOM7cOuoqZXqxt55oCqoCaZp6eQrmA+1apn1+vPF9lf3SO3bNCCRviWCM/2cKZ EEksCyWRSCSSSaFrEJd7lJWVFc+0XWFhYfpITYwbkcyMwKy87EvztwSAKYAD7ooYTMBLwYiGqCIA gClgd8ToYCz1wpm6MBdVEcOD5EPD7Ga8l/Fqw2RC7ImYloBOxj8yLAA4Z7Ov9vR/r29oqa56CKYR stqhZVDyYjBiC3HIsHoZD3HxViTKhKiKGqaAj02r0WY+QigiANgAPxgIfrG7/4vd/bsjhofggx7n 3qjxfwaC3ZyPyodpCKmUtLNkdBmcOi4tJHtOslOt/M5ypbaNHz7HAyno0vG9E6wsnyyeTfacZIMR AQDPvGt9/gfRNz62Ny2iAOBx4Lr59NVDdlQm9UkkEonkatE0OsX6Wx6Pp7S0dCpsSwAT5W8RgJsc GkF4I2zc4xLdnD/gdMWEIqJC1NtMR1QvqaLtJDhDIRTAECI0kufvIHCrU38/YjTZbI6qFKj0f6Z6 3w5H/YQwgA7G3gxHOxnvH4ldLdJVAXBgzK99L+MzFFquq7sjBgAoAE953WWaCgBugipimaYu1LQj hlUZDM/Tht9fDhAVInUq1P9vOBQCBZnk2T22QuHeleTgWfbBSfb4BvVsG991xHbpSAiYlrh9CRUC PneTcksZfWm/7XUiF6AqsLyIvv6R/VE9B1nnSSKRSCRXBVXi87fi19+awmyqa89l6idqsWCSEAhY oiqvhiKNFlvp0LwE73M7qiJmg23PuWSqjgAs0NQ9USMqPtGycCAiAgMBAAgwk5L7Pc5XQ0a1YdoC uIAiVTlsmBYAB6iKmhRgbM85Cn0tFO1lPCoEAAiA/VGzjTEAWKlrMxW6N2qaQnQwnk2pBggAB6MW F2EGsNaZmInahJPtx2w/CoD8DLJoFn33hF2YhT971/6L+7QNCxQBUHXK3nWUeZ3gceCiWRQAfnuM OTUUArJ8uKyQ/Of7stKARCKRSK4SRDL1+luTMwmEYPX1z3d2fgAAZ8+yvLyHbrnl1kn2GScT5W9t cztzFUoRtrodFGGb23nEsJZo2myVzlGVBZqagkRDtMacu5vgDo9LQbzN5fjYMN2EcBAE8ckUt4/g Sl0b28aHeIdLb7TtOZpCAdoYL9NcsTdmlkKzKV2hq6PHLtJUWwgLYJGmKohb3Y5a6xNRVgfiWod+ yDDdSBbpqntkLB2wWFNiYbAkxOPAxzeoQkB6Cm5boSycRbL9uGkRXVZIYqsgVs6hAJjpRVUBSmBh PtUUdKjw5bu0QAquLqH/+IRekJmM0UGJRCKRTAFx+lvXTH+Lc7Ox8eX+/lN5ecsJGYhEfltZ+WWP 5wdlZWWxBk5nFlwyczdVTKS/tWxkZWKargFAnkLzRlLjS1QAgLmaUhmMvBMZlsxQAP/E77nVqQOA l+DNTn20q5scGoyJV9068lI6JelUA4ANYxqnErJYU0fXRcaO1RDGdrhS12Ie1ShZlMSS8WPMUZVL A2/JBiLMzx32lmam4cw0CgBr536yviHFiRsXfvKnQmFBHgGAomwAAE3BO8qT/RpKJBKJ5Krh/DrT 3+rpOVxf/5Pc3ArTbAMQ+fmLt283u7q+U1WlAdi2HXW7v7xq1f2apjU0NGRkZLjd7skMdxET5W/F w1a3Y+MYN8g/sbJD/Pyhz52k838SiUQikUwjLFtcX/pbQgiXK1BScuuwojxAYeEaiK2yiwbr66u/ 8uff/+lPb8nOzn766acfffTRlStXXvVYl3KZ/K1PxY3ovioVrsv3ObUdSiQSiUQiufYYhn3d6W8B AOIAQPfwNgD0ADgBBoEQatvDhY0555zz2trayspKVVWXLl26fv36YDC4c+fOpqamBx54YP78+Q0N DeFQKP5xx+ZvMc5iTP50JJ8K55wLtHnyJkgxQQCAMWbbyVsiXQjBOU/mK8AYE0LI245t20n+MZBf BLj+7oeT/GLG629lZWU54ihEWFhYGAgE+vr6VFXVNK2/v9/n81mWZVmWz+cbGBiI7b8COdOYj6cC DAAoozGvT+ju7q6qqtq+fXtlZWV5efnBgwerq6tzcnJefPHFkpKSnTt35vv75y2Ld7Sx+Vt79+47 cuSI1Li8NkSike6+zIZT6xNtSMIQAru71GeffRaTOKjZ1dWlqmpNTU2iDUkYtm2fO3fuJz/5SaIN SSSNjY3t7e26rn9602lKOBzu6+v70Y9+lGhDEoYQora29nq7H3p0Vl7svOrD7TjnE+PX3wqHw9XV 1UVFRbqu19TUrFixoq6uzjCM+fPnx/Z7PJ6NG+OesAsCmAA2AAXgAOO5fDk5OZs3b961axdjrKOj Y/fu3bNmzSouLkbE5paWdO0KQiZj87dWrlxZXr5E+lvXhobGhn8+cebU3Ul8tRkUPefctm2b1+tN tCkJY9++fZTSqU0SuLEYHBzcuXPnjh07KE3eylEvvfTS8uXL8/PzE21Iwjh37tzRo0e3bduWaEMS BmPsF7/4xfV2Pwz1n+9v2XfVh8ebLx+//lZpaemqVatUVeWcb9q0SVGUiooKQggiju6/AgM1gNh8 IAOwAILjNKmrq3vmmWcKCgqcTmdRUdGWLVtyc3PLysoIIQvLynxqa/yjjc3f0jWN2RHT+PRVApLJ Y1tRQQXzJu80CjIEBbxer893Ncs1pgculwsAkvkKAAAier1eRUne9bC6rrvd7mT+GMQ+AMl8BWzb VhTlersfUh7sn1wPU6+/FZsuHH0+U9VhOYOL9l+mB9HHQRcwemYKgAnQB2O1vXbs2FFQUBBToFiy ZElJSYnH41m+fDnnvKGhQVVVRLz77rtbT74Rj9kxLtbfElMgJyaJC3mdJRKJRDJ9QYzP37pm+luU aj097fuOvA3UBmPEG6TDmVshKzzqAK1ZswYAWltbi4uLt2/fHtvpcrk2bNgw2lsgEOiOI+1slIn0 tyQSiUQikUgmw/WlvxUIlJvmk9/9h59P1MDnmzM23b68vDyeQtpxMhn9LYlEIpFIJJKJuL70twDw vvue2Lr1kcu0GOtvIeIUVmycSH+r2jCLVCXtwhnVWssWAM02q3BoritfQ2EJOGCY5boaE9mKCnHM tBZrmnblqzFMId4IGyHBAUADvMvtEABHDavVZnkKXayrOuKb4WgfFz6CS3U1i061UNiNQOh0sO+D PkDQM3VfhV9L10BAuDYUaYr4V6dSF+UGD54YCp4Mqmmaf7Vf9atWr9W/v8/ut93zPCllKagm4WWT SCQSyRSAiITE8eN7LfW3EFG7LJPs/zLMnpW3dGn5pfUTXwlF6y3bHkkx4jFvKWrujZrPBcNBLviw JOsFWAIEQOwoMSJtYQnBABgAB3HYsI6ZVuzYasP6IGpyELYAa2TS1BbAAOos++VQRAyPK9jISwJA ADCAAS5+MRSODaQiKgAfGeYr4eiQ4PW2fcy0bCF+MRTu57yL8d0Rsz8pF132fdDX90EvMNFX1de5 swMAWIi1P992/mctwRNDABBpjLT8pNnsMM12o39/v2Ci48W23t09Vr819PFAuO4KhNwkEolEIrkI RfBPT1WOX38rPT19KqxKDBPlb3GAN8PGbyPGEymuTErfjxi/jRhtNlvr1AGgg7EPDXOuphSMWVLU z/nf9QXvdTuOmVas2fsR43dT3H/TN+SnRAV4PMW93qm9GY4u0lQBsDdqbHY6ehl/MRRpttm9bmeF Q/vpUCjCxUemdc6yUwhxIr4WjqZT8pDHeTBq5StkBqUHDDNPoW6Cm5y6iogAKmKUAwAs1NSZCtUB AcBF8AG304X4r4PBdltNvRKZjGmDZ0FK+u0ZXW90GeejICB0NmQP2Wm3pA9+NJiy0CtswULMs8Dj mecBBKRoDzHqomnr05QURUlN0lLfEolEIpkS4vrdPXXq1KlTpz612aFDh1pbr0B/4XojGAp3d/cw No6gbRYlRaryRthgAn4Tji7T1XyFAkCEw5thwxKQe+G6S0tAG2OzVNpkswgXYS5abCZA1NusUFE0 xGrDnKVQF+LHhnXYMFMJKVaVw4bFAdY69DfDUSZEs83macojHucah75cV18NR1MJOW+z44a1RFPf j5jPBSOphGRT2mDZ3+od/MvegX/sDw5yvtqhrdTVl0LR54ORjjGSuC6CES7MZF0M2Pbc+VN/djJy Lpx5TxY3eddrnYpXIU4yeHgg0hB2zXHNeGRm1xtdTf/WFK4LCy5mPDJTn6E3/bCx49cddp+VaPMl EolEcqOCAArEkXsUv/7WFGZTXXsmyt8iAOW6hgA7QxEBIiLEbFVpthkAcBBRITrZOFdHRUgjREUc 4ryPD/s4OsIqh/ZOJNrBuMFy1rsAACAASURBVIeQZbr2btQAAbe6dDfBCAgnYq5CdkU4ACBAOqUI oCE4Edts1oU8i5I0SjIocSA22yyDEg2xRFP+Kd2vDY+LXYwv0dWbHPoLocgbYaPYpwCAAOjn3EuI aypqad+I5P1Bfs6TuYiAChk6NhipDxOdGJ2mPWAPHBxQA5oj3znnW8Xdb3Sd/0Vr6k2pLMQytmYF bsto+ueG/v392flXrywskUgkkmRGACjxSB9dkf7WZG0SrL7++c7ODwDg7FmWl/fQLbfcOsk+4+Ri /a0RFEQCgAAIQBCX61rlUKSbsXVO3U/IdrfjvYh52rIXaRdMOcU82bUObXfEELFCkAAqIAGggAKA AhSrylvhKAAUKAoBKFWVymjkhGkt1zWKqCAiQDolHkLOWuwul+OYacUmFndFogFKFuvqwai5zKGd t/nf9g0hgJvgH3rdUSHejZgNlm0B3OzQAMAS8HR/0Edwka7OVJJRuhopAgLRCAAIW/S+15v14Iz0 zemoYORcpPnfG70rfAMH+kKnQvaA7V3qA4r2kN3z627jvAEAriJXos9AIpFIJDcsQijxOEjXTH+L c7Ox8eX+/lN5ecsJGYhEfltZ+WWP5wdlZWWxBk5n1ojrMvVMlL/1ZIorgxIA+D3qpgBb3Y6lOlMQ 0wlZ69DyVSWdUkuILvZJkMtH8E/8HhVxtUPLU6gTkQMoiN/we9IpudWpx1YppFLye143AQhQAgCl qvJ7XpchIF+hZGRcFfHzKc4UJHkKnacpAJCn0FRC0ihRAGYrNIWQv0nzxt5GFcFLiIfAZqfeq6tO xDyFKojfTE2JcBH70309VaS6ZmTcmQEjS0OQYOa2LC2goYIA4Mh35P5BviPPoQW0lMVRoqFzlhMJ euZ7FA+1B2w1oDlyrkDITSKRSCSSsSC5zvS3enoO19f/JDe3wjTbAER+/uLt282uru9UVWkAtm1H 3e4vr1p1v6ZpDQ0NGRkZbrd7MsNdxET6W/kjAaE8hQKAnxD/SL55zE/KouSZoXBVdLietgr4Db+n VFUAwIE4R/3kIheqCgDEvDcAIAA5Y6JNGmLhmMaj484cSQ4rGwmh+UaijbFg1RL9gtAaBchRaA58 0vNcNXnLg8TQssaUvyXgHDM5iBRdhS4A0DI1LfOTBbBEI645U/kBk0gkEklygteb/pYQwuUKlJTc OqwoD1BYuGZYbCEarK+v/sqff/+nP70lOzv76aeffvTRR6e2tO1E+Vvx8HiK61HPJz/hSlLGkCQS iUQikVyKiNPfupb6WwCAOADQPbwNAD0AToBBIITa9vBqO84557y2trayslJV1aVLl65fvz4YDO7c ubOpqemBBx6YP39+Q0NDOHQFskkT5W/FAwEg0seSSCQSiURyCfHWT4xffysQCPT19amqqmlaf3+/ z+ezLMuyLJ/PNzAwENt/BZqlMR9PBRgAUEZjXp/Q3d1dVVW1ffv2ysrK8vLygwcPVldX5+TkvPji iyUlJTt37sz3989bFu9oY/O3QuFwMBg0jE+fRZVMnkg0igbSwWRM5I+BDECIwcHBRBuSSAzDYIwN DAwk2pCEMTg4aNv24OAgpcn7XYhdgWT+GIRCIcMwkvkKMMbE9Xc/jF5J+GZc4vK3Tp065XA4PjU3 69ChQ+FwuLq6uqioSNf1mpqaFStW1NXVGYYxf/782H6Px7NxY9wTdkEAE8AGoAAcYDyXLycnZ/Pm zbt27WKMdXR07N69e9asWcXFxYjY3NKSfiXCnmPztw4cOFBbWxvP4k3J5DEMI70FStuSUYV1lPbO 0EsvvaQoyZtp19/fb3V11b33XqINSRgC4Fww+Oyzz2ISB8tbW1s7OjpcruRdEWwYRnt7+y9/+ctE G5JIamtrr7f7oc8Fi4v0T283AULE52/Fqb/11FNPIeKqVatUVeWcb9q0SVGUiooKQsjY/VdgoAYQ cygZgAUQHKdJXV3dM888U1BQ4HQ6i4qKtmzZkpubW1ZWRghZWFbmU69Af3Vs/taGDRuWLV3COPvU oySTp7Gx8firux4uOZhoQxIGE+THsO2Rxx7zer2JtiVh7Nmzh7z++k2fZc2u65xBzp/LzX3q938/ meNblZWVq1atKigoSLQhCaO+vv7QoUMPPfRQog1JGIyxH//4x4888sh1dT8M9rWeP/POVR8er78V p/5W7B4Rmy4cvV+o6vDSuYv2T2yTEH0cdAH9I7sUABOg74Jg044dOwoKCmIKFEuWLCkpKfF4PMuX L+ecNzQ0qKqKiHfffXfryTfiOcEYY/O3CGI4NGgYkfgPl1w14eAgglBIMhZ2HIYDgqCUXlfPc9eY 2M0hmdeaxG6OSf4xIIQk+RWInXsyXwEAQMTr7WMwSWPizd+KU39r8lCq9fS07zvyNlAbjJHZTjqc uRWywqN6qmvWrAGA1tbW4uLi7du3x3a6XK4NGzaM9hYIBLrjSDsbZSL9LYlEIpFIJJKrhsTpb8Wp vzV5AoFy03zyu//w84ka+Hxzxqbbl5eXT2HYeSL9LYlEIpFIJJKrhtAp1d+aCvC++57YuvWRy7QY 628h4hRWbJyM/pZEIpFIJBLJuJA49eXj19+aPIh4BYIRU8pk9LdihIWoipofRs1sSu5wO7IoZQKU S9JRGAABMITYFzVvdupjM9o4wL8NhDoY0xCX6uotTt15YTrLQcMEgJX6+JcoJMQroej9bocB8F7E YAI0xM0uPba+82PD4gBLdTWp1gF2D4o3j9gPrlajlviPd6z7K5TcAPnvQ/b8HJIbwLeOMIvB1uWK Q4U9J1lllUUJzsrA7SuVWRnkn183b5pLlxfRX1VZq0vo7MykunI3GEyIv6+qOj80pFG6Ojf3ruLi 80ND/3zwoBAi4HTeU1q6JDv72WPHDrQOr6F5eMGCtfn5bUNDvz51qqG/f2FW1rbSUq+uj9vnaPuo bf+mttbifGtJiUNR9jQ2AkD5jBmVx48/sWSJOhUChBKJZPpBCcR1d8jKykqG1SKZGYFZedmX5m9Z QvQwPsB5SAgAGOC8m/EhLi71QJtt9looslBXC1TlmGEFufj/B0NVUdMSopfxHsajQphCvBKKPB+M EIB0SigAA+jjvJvxsBBMiGrDXOvQVju09yNmo8UsIWLj9jAuAGotu9ayASAiRA/jESFi292M93Ee 4mJXONrG+M5Q1BSQo9DTltVoMQDoZfxDw2Igki0bmQs4VMsau/iRBr6z2t57mrf3iQ/rWNSC1l6x 64i964jd2MUB4GQL9+j44GrFsuG/9tmMw86D9jO7rVBU7D3N2vulOMh1DeP8g6amTYWFGwsK3qqr q+vr6w6H24aGdpSV5Xi9vzx61OZ8X0vLoqysRxcufHThwrnp6WHLeqOuLtPt3jZ3rkrIW3V17MIH y9E+Y+0BoHlwcFd9/a66usaBAQA42d19srs7aJqvnT0rpHyMRCKZgHjjW3Hqb93oTJS/ddCwdoYi FDCN4td8KS+HotWGOYPS+z3Oi+oSqgAuQmwhMhQlg5Jqw6wMho+bqo+4nw9GBriYrykrde3nQ2FD wGyFvhyK/nWactK0K4ORfs5vdznucukKgorIAAQIRDhh2u9EjK/43N/rH/qmPyU2kCnEC8HIvqi5 WFfvcztfCUXei5qFKt3udvZy/rOhcJGibHLpDoSzlnXMtPIUWm/bUcEXqGqy+VspTlyQT/eeZr1B sbyIflTPUt3gd2OGF/eeZvNyicXg8Dk+O4MAAKXABTAuVA1jfzo13H2CXavwrmRSqISohHAhuBh+ rqCEAIBh20wIgji2CATjPGSa+5qb/37zZr/Dcc7j+buqqm2lpXS8PmPtbc6PdnTMS0+3OD/c1jbb 77925yaRSG5k4s3filN/60Znovytqoix1qHbQhw2LQVhnUPzEHwrbBwzrIv8rVmq8ojH+V7EqLHs MlW90+VY59TvdTvmqMoWt+Njw3o7bNzvdt7rdhKA2arSzRkAvBWJluvqnW6HA1EIMcjFK6HoAOfL dHUmpbXcHuBcAMT+jzHExVsRY45CqyLGEk3t5qJcV9c59HRCKOAshQ4K3s95rkIXa+quiNFo2x8b 1mJd9ZBkc7fAocLCfPLL9y0BcFe58qsqe/8ZVjKTMA4v7rfy0gkI2H/aWjePAsC+06xzQPSHxF9/ TgcAjwNvXUj3n+FtfTJ0cQPQF42+UFOT5nBsKSmZ7fcf7+w83d398yNHant7/+rmmymixdjb9fVH OzoAYEdZWVFaWtA0HZQigEZp0DQvfZtjfXo0bUdZGQd4saYmz+cDgP0tLetmzbrmpyiRSG5I4vW3 4tTfujxC8I6OqnPnngcAj2f2/Pl/TOnVS7V+FkyUv4UI9oj4FwOoDEZ0RA3RgotvzgOMh7h42OP6 IGq+EzHucOk6ABfQYrOXgpECVYn1oyOa4pN5PQpoAwgBBIEB+Ah+MzWln/N3I0Y7Y7GdR01riF88 nJuQO12OQlWZpdKqqPlKKLLV7Uil+JDHedAw3wxHH/A4i1RlT9R8LRwdYHyHJxklmxEhN0BCBhCE giySnYofN/Aty5S9p1l6ChZkEkSwGFTXMsZhx1r14ZuUX1XZJ5p5fjoShHk5pKlL/Of70/95YxqQ 5nR+b+PGbM8nX+G1+fn/cNttb9bW1vf1LZ85U6X0SytWVOTmAoBKyIBhlAQC5/r7Z/n9Df39i7Oy 6CXqX6N9ciH+6+TJdJerwO9HRIux6tZWJkTsEC6EyRgAaEksVSqRSCZCIUSh9NMDHlOhvyW6ug62 tb1VVHQfAIRC50+e/GFR0aOjL2taGqWfYZo844IbpmJECRnfxUTFnZmRNa7+1lqH/utQxBTgJggA JaryXtRottkqodoXpsPrBDs4f6F/iAHc6tQVxJud+nHL3kC1VEIORk0BEBGiTFPfjxqtNvMRAgAb Xfp/BSNVUWO9Q7/X7UgnlAAUqUqEi71Rc51Dy1fo7ojhIYgAbiSWEG6Cdzr1/YY5xMlSxt+KRGtM e56mpBDiI4QCrNC1QSYORq2NLn21rv10KHynS0/C4FaMDC+unEOjpsgL4Lp51LAgP528+qH1hc1a WT4RAk6f589V2TmpqKvgdeK2lcorh+wDZ3m6F106rp1Hdx2V5chvADLd7rHvkkapR9N0SjfMnv3q mTNv1dW5VPU777/v1jQAeGrp0juKiu4pLf3l0aMftrWVZ2c/tXQpveTBcrTPiG3XdHZ+YdmyssxM AXC6u/u548dzUlJ0RUGA7nD4sV//WiHk2+vXl2VmXqszlkgkNwa5WKQQ8ulPY5PX34pEOs+c+emy ZY87nU0AAJBaW9tWVfUkgBMAbHvI6dyyfPkX3G73RQc2NDRkZGQAQEdHR2Fh4VUb0DsQ6e/rUrWe 0duxAAAhAASAAAEz80tmqKnj5m+t0LV5mnLUsN6OGBTgHrdjg1MXAC7EWsuOjCTJIsB8Tbndqa/V NUDwICLAWoe+TAgPwS/7PGEhACBACQDMUqiO+Bf+FBWxTFNn+6khQEdUEb+Z6vESggALdbVIVdwE H1eoJYCB8BNyp0u3ARyID3qcd7gcCJBCyOOKyxbgQHSR4T5VgNtcuimAAszX1W+rKe4kLsmmKfA7 t6gWE24H3lmu3FRKfW782t1qihMBABFKZ5Kv3Km6HWgzgQhZPnx0nQoASwuI34OZXvzpFx0uPWmv 342BRunfbtrkHyNxXJ6dXeD3A4BX1x+YP9+w7duKikLm8AOVR9MoIUuzs4tSU39+5EhnKBQ0zc5Q qL6vb7SH2X7/aJ8uVf1aRUWKrgMAApQGAl9ZudKtaTbnbk176aGHYjeCNKfz2p2zRCK5QSicfdPV 62+Zpnns2LHjx49f1Njv9998882XyGKJaLRL130AsQo5kaKitMLCbwBkAUB399Gvfe37TudNK1eu vKi3p59++tFHH+Wc/+pXv3r66aev5OwuBEn56rvTM/NGHCwhBOfMEJwJwQTnSOhHR06Nm7+lIPiR FKjKMi4AQENMpwgAtoAPokaTPVxj0UdIsaa4EfUxIUMFIQURANwE3fDJ/lioKeZ7EQDvmKdq38g2 GWnmRIw5BrHRY2FADTEwMpAfPzk81udwSwQAoAD+pF+mrqugqwgAlECqBwHA5/rk7UCEQAoCAIws J3Bqsf8RAJCA3y2drRuA1AvrSSBi6oj3o1Eam+lLuVBuBhH9DseOsrLna2oOtLbOS09/oaZm9NUd ZWVr8vKGWwL4xvSPiIExNZWzPFevIyORSKY9CPzq9bcQcWBg4Lnnnps9e/by5csVRTl//vzrr7++ devW9evXj20pBKup+WFv78f7938XsRMARhOfkNCZM5c7nW7OeWyI48ePV1ZWUkq3bt26dOnS0f22 bU/ybAkhhFIQAgQHFEKAYEIAB8FAMPg0/a08heYpF8QCFYSnvBcH5CQSyQ1Hhtv9pRUrYts3yyx4 iUQy9Yi4/K2srCyHw9HZ2enz+SzL8ng8AKCq6tq1a1VVffXVV+fMmTNr1qzKysrHHnvsoYce8l+4 TFoI1tNzuKLi2w5HHUAhAIABMABARE3jmb/5v2/+0R99EtbKzMxcv359XV3dz3/+80WLFk3lyQIA gM1sFIJSAgBCCMu0lJEMLFk/USKRSCQSyZQjRNz6W5TSmpqaFStW1NXVPfnkk7H9mqatXr2ac/7C Cy/Ytr18+fLt27ePW2AnEFjicGRmZLgRBwEAOIAKggh/b6Sr80BtbYtlxeYZobW19eWXX25ra+sb k0UxhTQ1NjU1Ni5dVu5xu7q6ug9//PGy8oV+XwpcqL/V3dPjatEs0/gsbJBcRGdn15Ch1fcHEm1I wrAFMRhtamq6NIUxeejq6iKM1ZvJ+8AzyHnYMM6dO0eTeJHj4OBg60gNgOSktbV1aGiovr4+0YYk DNu2DcO43u6HZqhrcprG8cW37rrrLs75pk2bFEWpqKgY+5KiKGvWrCGEnD59+v777x/X2SJEmzv3 jw4c+NMNG/4K8RD0A1gAAnAASx2z1lZ4fvzj3wgxfH/p6OjgnM+dO3f//v2WZU3i3MZHCLHr7bdP 1JyYN7d0794qVaHlixfEXhqrv1VfXx+NRuESxQfJZ8HAwGBHyLv/fDLP42B7h1H9re84GEu0JQmj zeXgjEXCk1qac0NjE9JXlH/gwIHJ6+/cuLS3tyNic3Nzog1JGIODg+1V+/e/tivRhiQMAdic5fm+ 74jQr6Of4GzqfCx32dUfL+LztxBx9HlLVdWLXo1NLN50002XuUdomj8r66b6+j2FqXlgtYMAGAII AiHKokXz9lafOXRo+Ng1a9YIIVpaWpYtW6Yoyo4dOwoKCiilDz/88FWd4sUUFRU+8fjj//bv//76 62+sWFH+xGMPBwJpgl+cv7Vy5colixdMPmlMEg9NTc01vS89MvejRBuSMGxO+ro8953s9JpT/4xx o7AnJx0A1rV2J9qQhDGoqUPLF3/uc59TlLjuzNOSZ599tqKiYjKr0W906uvr97/+9ueOJ3F8i+C5 zDmnt4WZ9zp6/tT6PXD26g8XEN984qeCiJdXG1BVT3b2ujff/Pz+CIIaBRhepyhABPkApbytbbil 1+u98847Rw9cs2ZNbGPt2rVTYioAFhfP+eMvffFg9cH16yrSA37Bh52qC/K3hIiEQ4YRmaJBJZcj Eg4m2gSJRCKRSD474otvTQmBQLmmff3HP/sJgPfCV7JsGyoqtM96pnZ05hURi4oKZ87MVinnw86W ADFh/USJRCKRSCSSqyfO+cQpAu+//3fvueexiV7+TEPoBHGory2QkTOq7+pwOJgVjm3blmXb4ZN1 nePqb0kkEolEIpFcPeP6W5yzWD7TZ4GqXGbdjZjacfmY3rJmzmptPONLm+lPy0JEACE454xxzjhj vT0d4VBw9qziy+hvSW5QBABjEPvcmTaoCiCAzYDS4Q2CEMs8ZBwYBwAgCJQAIpg2qBRiBRbV6bJi zBqJ9FIECggADIQAUAABgAMIEBTQFEKbpiUJOIA9Eu2OnaMAsIRQR7IiYufOQBCYppdAIgEAAPOS L4IthDLyRYh9KUbvCYkz8zOBmxwAEAEoYqzYnQBucaKS2LkKLoAJAESKMOkVLEKwi/0tqmgtp98n ysVJ8TckQlhGKHbhsnKKbMZrTx6MRkJC8Ni6QyEYACCi0+3NK5j3GelvCSEGB4d8Pu+nN5V8BrT1 il/usb58pzYUFd97yXxqo1o6k/zf3dayQlKUTZ77wA4Z4g82qx4Hvvah/e9vWU4NctPJkxvUhfnk f/zS2FhG71qq/PB1c9NiZWH+dFg19k+DnXujIQS41Znyx94MW4jXI4P7oqE/8WVmUeWEGdkVGfqK N+PbfW2xPYm2d+o5YUb+ove8hphKle+lzsykSq1l/PtQ9z0u3zqHhwsRO/cDRogJsd3t//QeJZIb kF7O/qi7yRJCQfyWf0aZ5uhi9r8NdpVqjvtcfg3xh4Ndm5wpALArMvSnvmlVFdTqs2q+dFxYgjhp +ub07IdmEJ2E60LNP2rK3JqVujYNEHp393S90skiLGNrVvpt6ZMf9OKb6YzCFdyeRiukEFTNBQCK ouXNnpudUzhuCI0QqqjaRPlb0ajR1NQkAPLz8pxOx+nTZ3RdB8TcnJmNjU15ebmqqra1tVNKe3p6 GOd5ebmqojQ1tzh0PTc35+DBQ//57K++/qdf0XQ9PZAGAF1d3fn5eadPn4lNoebm5ur6Z1irO8nR VegdEqfP8/Y+fqyR7T9LnBo0d/N182hTlzjRzE1b1HeIhfnY3i82LaL3VSgvH7BfOWQvyNMO1bHB sFhZTOs7eSh6Ha1MngzNtvWFlPRy3akjAYAebr8bGTIBPjTCd7i8YcEbbJMDnLaiYprqoYQFz1HU /5U6AwEzqMJA7IoMqoDvRIZW6C4FMHbuHWwa3QklkkswBTeF+EEgV0NMIwoHOGSEBjjfEw1ucHiy qXrONsOCA0CDPd1U8bjJhcnn/u/5kYZI04+a0u/IUNPUnre7iUp6ftvtXe4jKrY/3+Zf5fdVpIZO B60+C/RJjSgunU+kVKV0WgS3LoEQquuXKyU7Vn9rLHs+qHr//Q+44Ldv3rR69arvfu/7paUlqqps ueuOV155fcuWO2fOnPFc5Qutra1DQ8GiosJt2+6urv7w2LHjXq/33m13Hzl67PiJmmPHT3x85Oi9 27YKLl559fW/+OY3/ua7f19YWBCJRnd87sEli6deSV8Sw+PAxbNJ1Sl7MAwbypQj53iaBwMpmOrB XUfsZYVEABw8y4pnEAA4fI7rKjvfJ2J/OjXIDeBvDtvs4nJWNzAcxHvRYAsz56qOmxyeA0Y4k6pL dedRM1rBXZ9+/LTgnG2+Eh7Qkdzn8ndyq4ez7W7fK+GB42Z0iSYLTkuShU5mvx4eVBDvdfkQ4bRl 3OHyHjUjHxmRO1zT0xMYxeg0u37TZfVajlwH0Um0MWL2WJn3ZnW92hk8MeQt93mX+aItUfLxoHe5 TwtoMNll9EK5SNJTCNHf29F8rsacQFpdcHE+6u+zJpvkJIQoDYRyUq5ewJ0L0TsQFRNMKhOE9My8 mfklihpv6Gii+okHDlTX1Z9TFWXvvv2rV68ilN5x++aak6dOnjq9ek3Fb3e/u2DBfK83JTNzSWNj U8HsWRnp6e+9twcQGhqaysrmP/jAfYc/Prrlrjs++uhjzjjnPCbrpSjK1q13HTr0UW1tnfS3Pjs0 Bebl0n/9jUkJPLhG/fm71t5TrKKEBqPiF+9ZPjeCgN6guHXhcH5W2BBtfeL3N1EAcGl4S5nyzjFW 1z59Ij0CYLSi+iBnL4T6hzg7aUXrbWOV7lKSKWFJBUSEqmjot5GhestoZRYTME+d3GOsRHLjQBEE AAGwQNRb5svhgcNmZICzD43wasd1pO3+WYAUgYMjz5F1bxZxkP59fb27eyLnwkZrVHCRstCb/eCM oY8Hh44Ntf5Hc94XZ4EvZZIjKhfNGAz2d587e9ShO2cWl9HxFgw2n6vp6oqaKQWT+f1BgM7OLj8J zk67+lubaVr9fV2LV911ae0LIUSwv729tU4A5BXMG12TeHkmyt9KTfXPm1u6bFl5SfEcAFAUmpeX e+r0GcMw580rfeONN7u7ezduXF9SUnzmTO3evfv9Hx3Oys7Kzs6aN7d08aKFiKBrWjgcDgQCZ86e 7evrj1Xg5kKcP98eDodzc3Ku+iJIPhVEmJmKhAAXMCsDCzLJR+fY4xvU3cfYpkXKTXMpAFTXsj0n mc1h3Tz6+fXKGx+x3x5jD65BRCjMIs3d/GfvTp8AFwW8x+VbpbsFwOvhgfmaXqG7XUhOmNEDRmix NhziEgAdzAaANKJMv8T5uarj91PSAaDZNpts8w+86QWK1sfZQSN0wvpE4L6Ps3ZmaUjS4ruHSCQ3 FulE+b2UgIYY5PxDI/yIJ3WJ5owK8UE0uC8aGv2VD3LWziwEzKTKtLkXaOlazu/mEo0AQLQ5GmmK 5n0h3znbafVZA9X9Q8eHzC5Dy9R9y3wtRwbtPgsmKRV16Xzi+ebajOyCmbPmappj3KU5fd1tTucQ OFM4v3qPixB0OIZ0R4rbe/VnoBhRRe3OyMon49UaS8/M9QVyzhzfm51TqDvimiWZKH/rtts2VVa+ sGvXO7qmzZqVX1pSoqpqWloqpdTv81VUrDx3rnHe3LlvvPHmoY8OL5g/b9HCMp/P9+uX/7uluXVG dtacOXPWr197+PCRrXff+euX/9vtcuXn5wGAYRiHD3/s9XqXLJHBrc+WQAqun0cRMSeNbCijbgfM SMWhqHj4JiU/nQDAzDT8r312th+9TnRpuHkxfaXarmnm83OJxwFr59Gty6nbMU3uM7MVzYUEAGwh zjP7dqe3XHMhwFzV8R9DPQhQoGgAkEXV/6+vDQH+2Jtxq3OyD3bXFS4ksXMUAH2cZVP1XpfPgYQD RAXvYvY8zaEhSSfKEQbX/gAAIABJREFUf4X690dDZZrzW/7spIr8SZIBBCxVHbFFQAOCWUI84Unz ESoAXEiOmZFcRY3dK5qZ9cXu5kyqfi9tZuq0ePZABHeJe3RZotVn6Vla5j1ZxEEEFzzKrR7Tkets /9V547yRtj7NWeCaZDrrOPry4dBgVk6xpjkAAIQAAGYbZmRQc/kojU3MCS6EzflkMlooCC4ACSGT WP1EiDJ8qYTgnDc2NgohCgsLABAAEInPnxmNRISI19CJ8rfmFBX+xTe/IYQghFBK/+SrX1IU5fbb NnHOKaX3bN3CGKOUfv7zOx555OFY7aPs7Kxly8pBCEopIeT+++6NHf7Vr3yJEMI5F0J4PO4v/P7v pqcHkrk27bWBEvjcWpULoARunk/XlFKVwpfv1EbFSWZnkK9u0SiJfeTB68Qd61QQUFFCFQppHvzB 7zimTUW7r/oyEBAAVMTfTUnDkecqH6Ff8WVQwPUOj4r4w0Bu7JtDp52bsVBzzlUdAIAAizTnfNUR 86UIwDaXn4O40+lVEO91+7e4hp++pLMlmX5kUeV/pc6IfbZzqPoVb4aKCAAIsEJ3lWtOREBAAvBa VlHskGkT6tYy9aJvF2PMiUBIWZTime+J/YkEM+/JElwgQc+8EsEFUkSK0D+5IS+NbwnBERGEiOV1 cWb1tZ+2rWhG7iIgPNZCCGBcsEviW23Njf60dCHEQH9vdk5eU/3ZmXmzVW3c9CmcXJ3tC0wGwTmz z52rf/vtd5544vHSkpLhMYblhOJlovwtRByrxRrbHq0pOfoqpXSs56SOOWS0smSsJSGEMfbkE4+l paUlc6G0awnisN+AMKykdZES3LC81sjNhCDAGMmVy8nG3WiM1dG5SFNHGfHDYLp7GOqYsxt7phi7 JiMflWnz6yKRjMvYT7h64ad97PdiWn4RYjOJo+DYmVIEpBjbiVMmPCbGfWYXAByAc2b2tB4PDbb7 M+cQqsR2xuJbjI3zr6e7KxwJR6KRnq4O2+bdne2WbY/bkjHBp8rfEgKAU0qWL1uan5/3L//yr3V1 dUJwAA4jOltxkpkRmJWXPeX6W+NCKb1pTYWmTfMFIBKJRCKRSDizlUsldgS3mW0AiGiod7C3yekJ KKrG2fBCQs5txrhh2fYl8S3GuWVzAGBcGJbNuDAtJoh96cAKQcanIAFZCMGZGZswdDnVkuLCF196 qbp6/8wZ6Zqmcc7ElcS3ZP1EiUQikUgkU044NKAgXhziEoILbgMITff4M4uG+lrCg+1OT3pM4l9w xoVgXDB2iaMmRMyLEkIwLkAIxgW5pBkAIMBUuFvDQ4EQQoiOzq69+/atW7t67U0VCiWC24IxuJIo 2tj8rTNnzw4O9tnTSfr1Oqa/f6B7yPN+c1GiDUkYTGC/7TiYnaazz6qU1vXPWf+0ysq/CsKK0hUM VlVV4XScvomTtra2w4cPt7S0JNqQhNHT09Pq1PbkTIGg+Q0KQwwS1VXtFI7rSIjHyZ0wCWHy1MzC cZKHYv5WLO7l8WeD4KHBTlX30FiRH8GFEIzxS9cnBrJyVc2JiGmZOZyLrNxCJAofz7FiU5e/JTgT wG3bPn78OCX4xOd3ZGakCWELcUH9xHgYm7+FiF5v6pRYKPlUbIY9GWth6dcSbUjCIEJYXW/yZQZO m7T8KwdNExYtwuLiRBuSMBTDUA8ejC3ESbQtCSO2tCjRViQSzjlZuQxXrEi0IQmDCuHYvfsprHDR 60mBmQ9Q7Lz6wxEv9rcIobYZ4fyTuI7bl+XkNiFEcBti3pgAzvml8S1XyrCD4vamcS48/nQhgI23 jhGnyt8SsfgWQxCLFs5bvHB+Wpo/ZicAMNsmhELcyW5j9beKi4vLFpRY5nQrYnB94nJppmncfPPN iTYkYdi2fXz//tXBoC+Jf2gBAIqLk/ljMDAwcObMmXXr1iXzMpqWlpbFixcXFhYm2pCEUV9fbxhJ fz88fnz16tU+33WU3hPsa22qeXMyPVz8rfb60wf6u10uh8OZMhrTJoSOOjFCcMEFUiCTCHgjwNTF tzgIhgBpfi8AjJRHFLZt9XZ3eLyp8T8pXpC/JYRlmoYRmRIjJZfHmqCYgUQikUgk04OL/a2ZeXPO 1lSfOrovJTWLXJLaBQBdneeDQ66w0j3JgUNDg5HgUH/31VckMg0zHBqoP3MExMXzhgIgGhqIRKNF c5fHX89nIv0tiUQikUgkkslwsb/lcnvnzFvW0XqOcR6Lb3HOEXF0OytnzvpMT9DWL9p/5dueHK/p cFpX3Y/mEnPmZcAEbVJS3Xlpmf5AthAAIC7fZ4yJ9LckEolEIpFIJsM4ESxVczV3GiakzJm7NL+w rK3Hvmh7xaLSm8pmKpHOLJd1y9LZV71dWlzqyyw51RjuCuoZuWVXup2aXXr+EttGt6PCE8jMZYzv qTpYc+osAJimOe72KJfX37KECAkBAAOXXVoZFiIyMlXKAfonU/YIQHzacGPHNadMQlZy42Ey1h4M tgeDXeGwyRgA9EUi7cFgRzA4aBhcCAHQEQzG2nQEg7HPStiyOkOh7nDYsMfRbRntc7S9zXlnKGSN fCY7QyEBEDRNM4mXVUokEkk8jJOVybngQlDFgUTl3Jj222JkccDl9bdOmPY7EeOrPs/7EfMWp+6Z IH/t9VD0jGV/yef2EdLJ+N/1DT3ldS24Wl3THsb/sT/412kp6qetD389FFURt7kdVzeQ5EbncHv7 F197Ld/n8zsctxcVPbhgwXf27DnW0ZGi6wV+/++Ul6c7nfc9/3y6y0UQM93uv920SSXk5VOn3m1o QMTbi4puLypK0fVx+4y1T3U4jnZ0/NOBAw/On7+luNjm/Jtvv/29jRt/U1enEvLIwoWJOneJRCK5 /hnH33I49PXrVlOqA9jJsD164hPlb/UyftAw2xnv45wiOBBtEEdM+7RpBygpVZVjpoUAhYpSpCom iIOGeZvlKNPwqGEeNy1TQD/ne6NmhIuFulqoKg2Wfc5iphCLdDVXubg8XS/j1YY5yMUKh+ZGbLLt PVFzpkJKVNUW4pRl11v2El3NUxRbiGOmVW+xLIVEhTBBNNqMCVGgTp8S7pI4EUJU5Ob+42237W5o ePbYsfvnzTMZ+9b69cWBwD/t3/9xe/vGgoJMt/sX27drlAKARunb9fVhy/ruxo0C4KWTJ6vPn7+1 oODSPp++/fZYe5Oxd86dK8vMfK+h4eZZs5yK0heNCgDDtuV6B4lEIrk84686JgiCG9d6WwhhG4Yx MCpSOnaG47PbRkKIolOqTZS/9VYkWmexWAEiW4jnQ2E/dT8bjGRSGqDkPGM/Gwqv0rWqqPkNvwcA ilVlT8RQEc5YdhYlAEAALQF9nD8zGP6zVM9Bw6yKmrMVWm/bf+T1jHWOGMCvgpFezgvV4bcmLMRp 0z5mCr+HRAW8FIq6EM5Y9h963Wcs+5VQNF9VMgQgwlmLWcJYpssaQUnKvpaWb7z1VsS2y7OzCSGM 8x8cOBBwOgVAcVoaANT39f2Pt98miB5N+/M1a1oGBwlihssFACohTQMD4/b59bfe8mjan61Z0zI4 GLasu0tKXj1z5kBLy4bZs6/xCUokEsmNy/Wj8iKMyEBz/YmWxlOR8NDUVbP+FBCJO8U/e87i3MKF Y/W3xlJnsQqHhgDvRoZ9xAAhFbp21LSCnHuQ5ir0QY/zu/1DpgAAKFWVRps9OxTOpjRfUQDAEqKH s48Mq8a0bQEAUKap6x3avw2GBYixCmFciBrT+j2fe7GmIkAX46mEPOhx/utgqINxBNgTMdIpQQBT QKPFMin9vMelIzwbDJ82LUuIe9wOGdxKTopSUz+/aJFTUQpSUykiIm4uLHSq6vHOznyfDwCy3O6H FyzQKNUo9TscDkUJmiYXggMohDjG03wqSk19dOFCjVKnqu5vaXn97NmDra094XB3OLx85sxrfooS iURyozLOHfbkqdNFhYXxl1IWQtTVnyssKGhpbUkPpLtczquwg9lmy7majvaWogU3666Ua+YxCMEH ezvON9W6UtKdKenRSOTS/K1sSo4aFsAntRg1xHmaYoM4bFgbnKSL8fejZhohGgIAOBBX6NrPhkJ3 u527wlEA6GS81mQ3O/VuzhkIAGi0WBWYmZRcVHscAQtU5bBhcQGzFQoAFMFH0BaCC0ghuNqhLdXV LEp9BNMpOWHZ+6JGrkKFgA1O3RCixrRXO7SklmdOVrI9norc3NE/CeKirKwl2dkE8e36+lW5ubGd AGBxbnFelpm5v7X1vcZGm3MuxMKsrMv0Wdvb2xEK/Z8778z3+brD4VfOnPl/7N15eFvHeSj8d2bO hh0gCXDfV5ESJVGURK22VmuxLMuWLdtxbDdOk9ze5ja96dck90l727RP4/uladL0a5vcJG1T20rq NfJuWV60WLu1ixT3naK4E8R2cM6Z+f6AREEU5U0iABnz+0MPCMwZzIEOD1/Mec+8J/v7J78XdYyN He7psUhSlduNk7gWDcdx3I1MjbfCmvajv//pU3/3A4/H/Sm7GBwceur//P2//PM//uIXv77//ntr 5s/7HOMw9FB3R0PJ7DvySubFuHZYenaJpJi6O+oNKbunu+f6/K11JuWtYEgAVCgSBGiNSdEB9gbV AGNbLCYGjAKMU7rJrFgxLhEFACgUyCg1zZfEMYOmEOwmeKEinla1GkkUAQGADkwHuM+iTMneIgi2 WZXX/KE3A6F7LEqeQJYpMkFooSylEJxB8B2KfEQN+wS2QBYXyNIIpQdC4UKBFIsCAkghuE3jd4ol owyrdWlubvQzy3Nz08xmRRDuLiv7oKMjqGmz09P/6/x5AHApSpXbXel2T4TDrzU1Hejq+tO6ullp U+u1TfbJGEMIzfF4ajIzBYzTLZZxVdUp3VhaapWkWWlpJ/v7nz17tsDprHR/2vMGx3FcUplmfisQ CDz/4stmk+meLZsVRX75968+tGP7K6++XltbYxj01dfeEAVhxYrllbPKR0ZGX3v9zfHx8bFxLwAY lDLKAoHgvv0HTpw4tXbNqpqaec3NrZTRqspZnzAQxoKBCclknbImVgwQIpitzt6O86WluR63+/r8 rTyRfE20TP74kNUEAN90XG52StWKBfLf7JcbLJIvL6/6uM0MAFuu3DC4zWLaZrk880cA1cpSpJ+P VG2X/+oq9lssykJZmuwcAJ64tp91Znmd+cpNZCjS7TWjLRUT5xoxFzsFTmeB0xn9zI7ZsyMPHLK8 tbwcAP5h/fopWy3Jyan2eH554sTu1tYMq/XD7u6OsbHIS5Ecr4dnzwYAhFCxy1XsulywCyG0LDcX AO7IzweAFfn5K/LzZ3DfOI7jbn/TrgdBRVFs7+g8dvyjmvnzdr/z7oMP3H/02Ef5eXkAsP/Ah9vv 2/bqq6/nZGedOHmqvaOjsKBAiKqZ093T8+Zbu4uLi3a9+lppaUlGZjr5dMVHGWPxug4Rqefocacx qt9o/a0bKZeEJ4nlk9tFWW2SJ6e18gQyGYcBQL6Y3OXzuJgzi+Ljc+d2jI/n2u0WSfJfqRkayfGK 79g4juO+MKZdD0JZWrd47/4DY2PjAIAx9nrHA/5A5NXCgoLNmzZ880++HQ6Hh4dHsjIzF9TM3/Pe +5ObB/yBg4eO9Pb2paamIISczs9Tb3J8fHxkZCQtLU0QhIsXL+bl5cWggKvP7w/6fTdaf+tGTAjl Cp8tSHITHP04+keOizGEkMtkcplMAJBmNsd7OBzHcV9M0wQxoVDojTffHhkdnVs9R5KkvLzc555/ ubunJ/IqxliSJcMwACAnJ/uVV0+NjIyGgqHJzVNSUzasX5uRkZ6fn6cocmTD3Kg03k9kGMavf/3r kZGRuXPnmkymrq6uJ554IgbxVn1Dc093N6+fyHEcx3HcrTU1iCEYf+0Pv4IxxhjNm1dtNpm+8gdf bmvrKC0tzs3LIYRs27qFYPyHTz7hdDrmz6vWdV3TtHnzqkVBuG/b1ty8HJfTtX37toaGC4qifL4g yTCMU6dOLV269NVXXy0rK9uwYYMSk+saBfk5HndaJH/r2PHjzS2NBq9SEhMBf2BsfGLnzp3xHkjc UEp7Bwd36XoyJ9/16To6dqznyle7JKSqamdn53PPPRfvgcRTU1OT1+u12+3xHkjcTExMXLx4MdnP h729u3btisE8y6dnEsIlGTcVElwXbxGyds2q6GcK8vMLopJhUxenAMCKFcsAQJKkVXeunHxp0cIF kQdzq+fMrb5c3OMzzWxNjmHz5s2NjY2KovT29n7wwQcjIyNr167Fny4P7HOLzt8qKCiorq4G4BUJ Y6Gvt6/hwoW6urp4DyRuDMO42NZWHQjYZ/ggT2SnQyFaUDB//vx4DyRu/H7/6OhobW1tQv2ZibGJ iYnKysrs7Ox4DyRuent7GWPJfj68eLG6ujqhwu6wf5B6z3/uzamuCYx9qnLIsUQI2bZt24kTJ3bv 3l1fXy/L8ksvvbRq1aqZjrei87fc7jSn3RQO8zolsaAoxG63FRUVxXsgcaPrulmWCzXNQZL3hoke TQO3O5kPg/HxcVmWi4qKkjnestls2dnZyXwYAEB3d3cyfwK6rpvN5sLCQofj8+R/zxDfqNxV//nj Le9It4BQIn6fZow1NDQUFxd7PJ7+/v60tLQYLBJxTf4WA0qpYeiftBF3C1B+3ZbjOI774rI5MwSI VeWcz4QxVlZWVllZqWlac3Nzbm5uDL7wRedvcRzHcRzH3RKUagk6a60oyrJlyyKPPR5PbN70862/ xXEcx3Ec93FYAtWrBohf2TUGgBD6NOtvDRjUgZEcNVQ/Y2MGzRIur2A6SqnBIJXgyRYMoF3TC0Vh 8NptGzW9SCDidHutMjZGWTpfl4v71Pyadn5ggDImEVLgdLpMps6xsX6fDyPkVJQ8h0Mm5GR/f9gw AAAhND8jQyJkKBDo9noBINtm81imLts72edke9UwLgwN5TsckaVQzw0MlKWmelXVoDTdyieGOY7j boQlTLyFkCybtXDok1veaowxLRwUJaW+oWna+onRWjW9SBTSrywPzwA6NOOdYOhxm9mFcYCxNwKq B+M1ZnkyjBoy6N+P+f4xzRG9rcbYT8d8P0ixu68toHhMDReLgs6gTdPTiTQT+8t9IZ29dOmbb75Z l5NjMFbldn99wYIfHTw4HAymKApC6MvV1QVO5zdee21BVpaAcaR+4mgo9FpTU/PwMGWs0u3eVFo6 JeSa7DPSXiLkYHf3z48fv6e8/KHZsw1K/3rv3n/auPG1piaM0FeS+L5CjuO4T5Qo8RYmYnZ+eW/7 WYcr3WpPidlcF2N0bKivt/18Zm6pZPVMqZ9IAT5SNQRQI4tdutEY1v2M5gjkkkFf8AUnKF1mkisl wYbRaVW7wyT36sYl3bjTKr3qD50LawUC2WBWAEADBgADBs0RmJ+y94Nqj24MGAYANGn6Ln9IAFhj llXGvj/snSOLX7aZhwzKABrD+u5gyE3IJrMsIPSfEwErQnkCWW6Sk/c2Nu4GarOyfrRu3QcdHc+e OfO1mhqM0B/V1lakpf3syJHW0dECpzPTZvvRunUSIQAgEfJBRwdl7PsrVwLAs2fPHu3tvbus7Po+ f7x+faS9Pxw+2N29vrj4WG/v+qIih6LolAIAZYwmZBoox3FcgmCJM79FBCW/dH570+mPDryohoIs VqdvhJBismTmlmfmlmGMEELR+VsIwGDsZFjLFvCxUFhAcFLVCgWhQhJqZbHPMF72BStctgpRqA/r VZJ4PqxlCyRDIBWMKQiOq9phNTxZwfojNZwnkCBjH4bUGlmMRJQpGC9RpA5Nf9EX/LrdUiIKdbJk MDimhjealRf8wXSCO3T9IxXPkcQ9AXWH1XQyrBWIQv5nLCLEfeHt7eh4+MUXFUI2lpYSjDXD+Jt9 +yRCPBbLl6qrAaB5ePjLL78MAC5FeWrt2sFAAAAskgSMEYQG/f5p+9zxwgsuRfnh2rWtIyO+cLg8 NbVnfPz9jo6tFRUx3kGO47jbVeLkbyGETWZ7RfVyTVvIaEyXBEMYi6KEMfL5/WpIjc7fQgBVkrg/ pB4KhS9o+tfs5pOqBgDjlL4bVHt0o0nTAWC2JB4JaUfU8Lmw/oTNjACOhsInw1qLphddV386SJmA 0BJFfiOgAsAlw3g7EBow6BilboLTCC4ShUgoxoANGPQ+i+lASB0xKACkELTJrPxobGLUoDze4qZY npf3g1WrMEIOWcYICRh/q65OEYRD3d0SIQygLDX1HzdskAhBAG6LxS7L46FQJKMLI+Q0mW7UJwKw iuKhnp79XV3nBwYCmjYaCi3Ly4v5LnIcx92mEmZ+CwAMXR0b6h0a6AqrgZit644QUsw2d2aRw5VZ 39DU13dpSv6WDaM5kvicL7jaJKddWYsyQNk4pRWSeNEwwoy5CZktCS/6g3WylCkQymDQoFmEhBgL M5gSPDoJ1hl7wRccoxQAhgxKGRSLwkk1rAEUikKjphcIBAAQoFmisMsfDDFWbRYjm8sIGF/2npuO LAgZUUnrCKFUk2lBVpZO6VstLXfk51/y+99obsYIyYJw/6xZCzIz321v//eTJxmAIgg1GRkf0+f5 wcGJcPjpbduybbbxUOiZs2c/6uubvIy4v6sLADKs1s2lpSSJl8jnOI67kUSJtxjVRwa6muuPC7KV CGIsAwr/4NDo8FDVgjWFBXkZGVnXr79Vp0gSQnMlkQBstZhyBOLA6AGrqUUzHreZHRgDwGJFEhCa I4kEgCHYbjUdC4WzBFwjSRaEHraaBYQmt91uNY0YrEISHBjVyBIDuGjQ2ZJZANhsVrp0I1cgWywK QbDVohxXtVSCq2URAKL7id0HxN0OSlJSdlRVRT/z8OzZhU6niPHK/PxUk8kmSd+orVV1HQBEjCVC 8p3Olfn5B7q6nj9//hu1tbkOR/jahWcn+2QAaWbzppKSfIcDI5RmsWwuLdUp/eaiRSkm08or9b4M SnH87jLmOI5LXCxh5rd0LdTedColvaikso4IEsTspM2YGvK3Nx7rbj9fUb0cGL1+/S0nxqtNcuTx AvnyPFOtLNXKV9s4otoggDyB5FmvXp2JvDS57QL56o2HEoI7TVc7chPkJhgAPEQCgCyB3BMVWk3p h+MmpZnNy6+9wLc0NzfywCQItVlZAPC40zllq9KUlFy7XcT4hfp6mZAD3d3nBgYiL0VyvCJ9IoB0 iyX9yt2LCKAsNRUAKt1uAKhIS6tIS5vBfeM4jrvNsWnntzo6u0ZHR202W25OtiRJFy40pad7zGZT R0cXAOTn55pMpiltevsuZmdl3kzJHUb10eH+/Iqlsskag9I90URJSfXktTce9weCn7j+Fsd9wSiC sGP27LtKSsyiuDA7e3KKK5LjFd+xcRzHfVFcN79lGMZHH508cfIUo/Tee+8pyM/7X9//q+9999sj I6Pvv7+PMbZx4/qVK5ZFt6mcVX727LmszIybjJMMQ8c4PpfJCBENQ7+mfiLHJQ0RY7fZDAAWkU+d chzHzYip8RbGOD8/t6Oj8/29+yorZxXk51ks5spZFT/6+5+2tLYKorj/wME771gR3WbRwgUbN6y/ tcOilFJKCSEAYBhGDIonwrX1Ew1qRMTgfTlKKaVM15O3OnjkSDMA9CReyIoBUMNI8sOAMcZPO7qu J/lhQClN8k8g8m9CfQg3+4vJmKBduz+GYex65XWPO61qVkWkd4yxJMsul6uqatbC2gXl5WVT2jDG /H6/9dZV82CM7dmzp6GhYcWKFbIsHzly5L777nNel3pyy0XXTzx48NDp06djvDJF0gqGgj5f4Be/ +EW8BxI3jLGWnp6dELvExQQ0aBjiwYP19fXxHkjc6Lre3t7+q1/9Kt4DiafOzs7+/n5Zlj+56RdU IBAYHR1N9vNhS8vOnTtjnFz08ayyMb90mkVzPj1BvHbqCGO8fNmSl3//6tjYWF3dYkppSUkxRmjT xvVPP/u7N996R5LkkuKi6DYjI6N79x3Yes9mQm7N1UBd15977rnKysrnn38+JSVl3rx5NpvtlvT8 8aLrJy5atGj+/Hk83oqNjs6OhobGrVu3xnsgcWMYxtM///lWv9+exIspHAoEyKJFixYtivdA4sbr 9e7atevhhx++VefS29FLL71UW1ubl8Sru7W3t585cybZz4dPP71161a73R7vsVzlH+sb6zn0uTef Jl8eY7x+3ZrVq+5gAARjQsj3vvNtQRBKS0v+9198jzGGMb6+zT1bNt3aE0R+fn44HG5vb8cYj42N 9fT05OXlzXSoG52/JUuSoQfDahzqOSYhXQsJAnE4kvdOBV3XBULsGDuS+A+tGWOQ5WQ+DAAAIWS3 22OTQZGYZFm2WCzJfBhEDoBk/gR0XRcEwW63J9SHQKhv7Ga2n3Y9CISQGJU2G3mMEIo+BUxpc2vP DoIgPPbYY0ePHvV6vW1tbTab7cKFC9/97nfFGU7mjc7fAgBgELOyQsmOf84cx3HcF1oifotCCOXk 5DQ2NrpcLkqpJEmtra0xeN/o/C2O4ziO47hbJGHWO51iYmKip6dn06ZNqqru379/+/btMZhgj87f 4jiO4ziOuzUYCCwha/E5nc7HHnsskhNWXV2NMY7BfQq3ZP2tXt0AgOzPXm9n0KBdulEjiydUrUoS NAaNml4qkgGDUoByMUEjYy5BXPL5Xm9uNii1yfKS3Nw8h+NAZ2fD0JCAcb7TuSg7Wybkhfp6XzgM AJH6iRZJahkePn7xIgaoycwsSU1F0/WpUxppb5Ukr6q+296+MCsr224Hxt5oabkjP7/H6wUAvsQ8 x3HcjWjhIEYoQe+HEgQBIRTJG8MxuWmrID+npmb+lPqJDEBnoDFmRD1m175EAVTG/mMiMGxQ40ox aQqXX4LrNpyCAWiMder6Ln+QASAADHBEDR8KhYcM+ltfMMjTm7hP0j42tvPsWQbQNDLym1OndEp3 njvXMTbm07RC2UkyAAAgAElEQVTfX7hwuLt7JBj81+PHdUrhSv3EttHR9zs6JlR1JBR6v6OjY2xq Mmikz8n2APB+R8cL9fW7GhsNSjVKf3XihC8c3tfZua+zM/a7zHEcd7uQzK4EmjUhRKA0Pgv9UWpg QqbN37qoG8/5gy2avlCW1pjkV/yhLl3fZjUtkqUOTX/JH2rX9ZWKrAP7yZivTzfmySIGSCf4naC6 O6BWy+IOi6nbMP7D63dgvESRVpjkKXNf58LaLn/ITylGiDLYHQjpTP7pmA8jOK6GT6tarkDmSXzh b+4T5Docd5eVHezpeau5GRgTMF6ckzMrLe2SzzccDAKAXZbvLiuTCEEAIiGn+vsRQo9VVwPA02fO fNTXV3jdKne5Dsc95eWR9iPB4JlLl+6tqDjU3d03MZFx65bc4ziO+2JTLC4hQVZYRJikuLNHB3vc GQWSfFNLin1GLBTwjQx2O1MyfD5fMOCfkr/VrOuXDLrKpCyUxVNhrUs3Ugl+wx+qkcTXA6EUgh+0 2hwYU2BvB9RtFtPJcBgAJhjbG1Q3W5T3Amq3YgQpGzDo3RbTnkBoriy6rp2uey+gFgpEY7hVNxiw Vl3/imjZbFFEgKWK/A9jE3eblRh+INztam9Hx39/4w2PxbKjqkrAOGwYPzl0yCSKeQ7H4pwcAGga Hv7mm29ihDwWy1Nr146HQghAIgQQAoDIpcbr+/xvr7/usVh+uGbNsb6+oUAAI8QA3mpp+fLcubHe Q47juNsTQiRR5reIqBSW1zSfP15/4l1RVmIXBTIW9I/rulo1f9W5+gu9vRen5G8tkiVg8GEoHKaU IHRB0ypALBAIQchPWa6A0wmREGgMFASp5PKwKQMvZYUCwQBhxgAgWyALZfE/JwL6ddcGA4ylCYQy 1qpfLRXswAgA3AQjBE6cEDExl+A2lpb+5K67AEDAGCEkEfI3q1enmc2vNDZOqKpMyGyP5+lt2yJX BiVC0q3WixMTAV1njGGE0qebr5rs069pp/v7B/z+99vb/ZpWPzjYNzER4x3kOI67fSVKvIWxmOrJ kxT78ECPFg7FbOErhFCKJ8ednme22PLzstPTM6bkb3XrxlE1PE6ZCrBAEmplSWMsUyAMYJlJet2v nlK1JYq02iQvkuWjqgYAGJCCUKko/H/jfjfBboIv6ZQA4Bt83DWyuNsfIghkhABABAQABFDkIxAS YwKSS3AYIeFKllWEgLGIcVlq6prCwnfb25fn5XWOj39nzx6MkFWS/nzp0oVZWW+3tv71Bx+ohlGT mbkwK+tGfTKArqGhgK7/08aNaWZzQNOePnPmeF8fwTjyRjvPnj07MFDkcv3xokViEi+Rz3EcdyOJ Em9FKLLo9ngopRCruyYRIEwEQUCMGh53KkJ4Sv6Wh+ANZkUAlCcQCYHNZh6n1IUxAVgoSxmE+ChL J5gguM+q+ChTECIIzBg9ZjNfNAw3wW5CnBg/SSwCQn/mtDowGjSulgkyY7RckQsEQUAgIRRpk0bw apNMENgQ+pbTKiZSDSkuMVV5PH9aVxf9zDcXLUq3WglCc9PTPRaLQ5b/dfPmyDcZiRCnoiCE7iou znc4fnnihFkU7bJ8ye+f/KqDAKrc7kifCKDY5Xpy3rxUsxkAzKK4raICAOamp6dbLJtLSyvdbgCw SBIPtjiO46aVMPEWo4GJodaGjy71d4XVYMwWHEcYmy327LzywvJaNayHQuqU/C0nxk7p6p+QAoEA XJ5CkBEqiVqmwYWxK+pvTRrBaeTyzyaEcgUCAEWi0KjpPx3z6VcCyjUm5SGrqVy62k+RKACA+8q2 fCUI7tOwiKLl2mz3Ipcr8kAkJM/hAIDF2dlTtvJYLC6TyauqL1+4kGYyvd3a2jg8PPnSU2vXFlzp 0ypJVkmK3nDy33SrddprkRzHcdykRPlbbuhqZ8vZYFCtWXafbLLGrCo4o3RibKCr9ZSlv6t3MNjb 03eT6299onJR+Fna1ZAO8cuFXFyJGG8uLb2ruBhjvCI/n0Z91ZGSuJgjx3HcrTU13lJV9elnfnvv 1i0pKS7DMODKOli6riOEMCaGYQAwxpgoiowxwzAYY4IgUEpf3vXq/LnVRUWFkbLWn2kchhHu626u rN3oySqKWbAV4XB5GKN9XQ2Fs1ake9Kn5G/NBH59kEsoCCExElrxI5PjOG5mTI23/uu5F//fv/9J b2/f5s0bn3n2twihTRvvWrP6zl/88t9kSdqwYf0bb7zV3dM7NDT0g7/6C03Xnn/+5a6u7u3b7w2H tb/526dqF9R884+/cfFi/8YN6z/bQBgLh4OiKN+yPfvUEMaSYtHCoej1t/yBgM/nU9VQ7MeThIKh kBpSx8fH4z2QuDEMgwF4Kf3kpl9cKmNGIJDMh4HX69V13ev1kiSeWYx8Asl8GPj9flVN+vMhY16v N94DuUbI77/JHqbGW1u2bHrjzbcf2L4tLy/vkYcfPHHi1Esv77rzjhVdXd133rFieHi4pbVt3drV //yv/5cxdvz4ic6u7rS0lFdefeP7/+s7K1csu3frlrnVc0qKiz7PWOK3iDoCYIxF1088cuRIS0tL zNLIkpyqqgODg88880y8BxJPLX19L1GaKBf442GMUu3w4dgUp09MjLH29vadO3fGeI4/ofT29l66 dMlsNsd7IHGjqmp/f3+ynw9bWl566aUY1E3+9BxmmFt8U1NCU3fGarEoipKSmnL23LmXXn6FUjo4 OMQAEEJudxpjjFKan5+nyDIABIOhhoaGWbMqCgsLFEWxWa12uw0hZL3p5Nnu7u6urq7S0lJRFOvr 6xcsWKAoM77mZ3T9xDvvvHNBzTwjTuvdJ5vOzs5z5xp27NgR74HEjWEYv/zJTx7x++1JfH/f/kAA r1q1bNmyeA8kbrxe729/+9uvfvWryTy/9bvf/W7x4sWFhYXxHkjctLW1HT9+/MEHH4z3QOLGMIxf /vKXjzzyiN1uj/dYrvKN9vY1vXszPUyNtxBCdXWLjhw55nG7NU0LhVRN11VVFQQBAXK73YIg/Prf fjM8PAIAlZUVCxfWapqWlZkJwBYsmP/RRyddTmd//6Xly5d+7jHpuv7zn/9cFMWzZ8/abDZN02pr a29mJz+lgvwcjzstkr+FEQr4vaoajMH7cgGfFyFIqK8ysYcQIgBCEk9sEABAKJkPg0iYRQhJ5g8B Y5zkn0Bk35P5E4DI+TDBDoObH8zU7QkhDz5wn2/C50n3pKalTkxMKIpiNpn+8Mkn3G43xvjBB+5v aWnt7+9HGJWXlz3x+KPj4+Mul4sQsn7d2tHRUY/HbbPZbmZMlNKhoaHZs2d/8MEHlZWV69evj83s +rT1EzmO4ziO427SNPNbKS5XissFAGWlJZPP5+fnAUBnV/dzz784OjK6bu0au80miWJRYcFkG5vN arNZAeAmr/0JgnD//fefPn3a6XT29fXt3r27s7Nz+/btMz3HHp2/xXEcx3Ecd6t8tvmx/Lzcv/3B X0aWe5i56AdjvHbt2pSUFFVVGxsbPR7P66+/ft999810vBWdv8VxHMdxHHerfObrkbG5nhoKhY4e PTpv3rzy8vLTp0/Pmzfvsy7o9TlE5299Sn7GXvWHtltMAgIA6NSNM6q2xTLjqf0cN0XLyMjPjh5l jKWYTPdWVMxLT3/27Nkjvb0CQpUez7aKCkUQ/m7//olwGAAi9RPtsnysr+/tlhYAWF9cvDgnB197 4X6yz0h7l8nU7/M9c+bMhpKSKrebAvzLsWOPzplzbmAAAFbk58dlxzmO424LCZSMFk2SpA0bNmRm Zuq6XltbG8kPm+k3vVH+lsaYlzIBgYCQBaEwYxOUSQhZMApQ9m4wdL9F0Rh4KevRjWNqmMdbXOwN BQIXJyb+55Il9YODz5w5U7VmzaGennkZGYVO59utrfs7O5fk5h7v6/v+ypUSIZH6iWcHBk5furQ0 Lw8BnL50ySrLczye6/v89pIlkfaUsXfa2ppHRrSmprLUVAB4r739gcrKhqEh4PEWx3Hcx0rQeEsQ hKKiy4t43WT2/ad3o/yto6q2yx9EAGkE/5nT9kYg9E5QzSLkEZvZemU+4Kiq/d4fRAxEnLz3l3Hx RTBmjKm6rhsGRmhyskqnVLjydSXypEapRum5gQER4zsLCjBA29jY+YGBKfFWpM/J9iPBYMvIyPbK yndaW1tGRkpSUmK4cxzHcbe3BIq3EELxWl2UAUMI3Sh/68OgulyRNcZOhTWdsb3B8MNW8yk1fEbV lirSZJsVV9rEfPgcBwDQODT023Pn3GbzV2pqCMaaYbzT1kYQcirKgsxMABgIBJ49e1bA2KUoVW53 OFKMCyEAIAipxjSrzTUODT179qxLUSrS0j7s7m4YGlIE4eLExCuNjd9cvDjWe8hxHHfbSph4CyGz xaEGvMBYjIu4UcMIBSYUkzU3b/r8LYSQHvVjZAILAbCoFfERAj2OC+RzHMDyvLx/2rhx8keRkD+t qytwOp8/f75peLg0NTXf4fjRunWRKtQSIflOZ8vIyFAwCAAIIN8xzZ25k31e8vubhoer3O5Uk2lu RsZgINA2MjLZTKc0bBgYISGJ12vlOI77GIkSbxFBziue3dN2xmSx2xzumJWzYIyODPb0dpwrqljo TnMBsOvzt5Yq0u/9wSBlDoIJQmtM8vO+oAOjTRYTAnBgDADLFfllfxCu/MhxMSYRYpWk6GdcioIR yrBYNpaU7G5rIxgP+v1ffvnlyEtPrV1bm5U1Egx+7913B/z+ByorF2Zn36hPxthFnw8Avr1kiVWS wobxQn39ucHBVJMJAVgl6V+PH3+nra08NfUHq1ZJSbw2Osdx3I0kULyVU1hNgTScfC8U9LNYFS7E GNscqXnF1WnpuT7fRCikXp+/VSSSu8zKSVWTEGCAdSZ5sSwRBDaMMcD3nDYRoYWyNEsSMCDGZ7m4 eJifkVHodEY/8+fLlkmEIIRKUlIybTaJkJd37IgcnQjAbbEggLtLS+d4PP987FjYMALhcNvoqD98 +fsGQmheenrh0qWRx3M8ngKHwyJJACARsr2yUjOMDcXFTpNpe2Xl6sLCSDMebHEcx00rUeItACRK clHZ/ILS6thHLBgTBOx8Q1Nf36Xr87daNeNYKGzHeL1ZBgARoVRydfotlWAAEBA4UWRmi+fLc3GA EHKZTNHPTE53IYQij9OvK2wqC0Kxy/XY3LmvNDa2jI4e7ulpGx2NvBTJ8ZrsM5IHNrlh5CZHy5XH GTddMpXjOO6LLXHiLdDC/ks9LX3djaGAL2bzWwhji9WZWzTHnVlUkJ+bkZF1ff7WckVarkjTbs5x tzuC8YLMzEhC/ZKcnHgPh+M47ospUeItaoQv9bR0tJxLTS9KzYzld2UWmBhtvXBSMTvTIzfD8/qJ HMdxHMfdUokSbxl6qLPlbHbhvMLyWhzbFBBdU9svHOtqO180yx4M+CP5W0PDw+YeSQursRxJ0hoY GJyYmGhra4v3QOJG13U1HO7SNMt0izIkiUFdx8PDyXwYeL3eQCDQ3t4eg+WdE5bX6+3t7Y33KOKp t7eXnw9VVe3q6rJYLPEey1Vh/+BNXnmbGm8xxt7evSc3J1sQRYxQfn7ekSPHli6tO3b8I13XVTW8 dEmdyXQ5jaO5uaWruycQCCxfttTlcp6vbzh79pzT4ViwoCYtLfXt3XsURTEMw+V09l3sX1hb4/G4 x8e9hw4fJRgtWrzQYbcfP35izpwqRVEYpV7vcKk9lQhizG5OjJBksz0lY7C/vf5Cy+T6W21tbaFQ CHjye0yMj3svXbp0+PDheA8knvrHxo7ruhzbgz+hXNR11toaDAbjPZC40XV9dHT0yJEjMShflrD6 +/sRQt3d3fEeSNx4vd7+/v5kPx/29x8/flyW5XgP5CqFqGVZN9XD1HhL0/V//80zT/7BYxcv9iOM HA7HL3/9H4vrFr300iuSLFotVsOgq1etZIyJonjoyNH9+w/OmV0ZCAS3338vpVTTtBMnT1/sv/Sl Lz30q1//ZvGi2oHBQYRQTnZ2Z2fX17/2lbfefufChUYG4A8Ett5ztyRJhFweA6M0xpHWJIwwpTS6 fuKiRYvmza3Sdf0Tt+VuXldXd31D0yOPPBLvgcSNruuj3d33+XyOJJ7Y2Of3w6JFK1eujPdA4mZ8 fHxiYuKhhx6KTZnaxLRz5866urrJ+iJJqK2t7fDhw8l+Phwdve+++xzTLQoYL77R3q76t2+mh2l+ q2VJqqqcdWlgwNANv98feRJjtHrVHSbF9PbuPQMDA0ePHf/L738PAObPq968acMP/8+Pt227JxQM tbV3njhxqrS0GAAURd6yZdOHHx5SVXXTpg0/+JsfUsbOna8/euy4LEmSJG279565c+dMO6xQKBQO h81mM2PM7/c7r73RfYZcUz+RsWDAr6rJ+1U7loIBH59K5DiO477Apv8WJYpiWmrq2bPn97z7/uXp fYQcdgcAhFR1271b7lq/NjU1BQCsNqvJZAoEAgBw9PhHJpOydMnioeFhSinGOMXlEiVRlESzyRSZ KyrIz3PYbVVVlYWFBQDQ2dmVnZ015cscpfS5557r6upasmSJoignT558/PHHY1BF8Ub1EzmO4ziO 427G1CwBjND6dWssFvPyZUvy83NTXK7Vq+4kmCxetDAlNcXtSVu0cIHFYnG70xBCZSUlZSUlkiSt XLGMYLJxw3pBEEbHxubPm8sojfQzpc2mTXfZbLZjxz4aGhwyDKOpuUXTpl6z03X9nXfeSUlJeeGF F/bu3VtTUxObpLn6hub9Hx7VdBqD9+I4juM4LnlMnd8SBOHRLz0Uebzjwe2Tz2+7d0vkQV5u7uST dXWLIg+++uQTAFBUWPA/v/XNyVcj/Uxpk5WZ+Y2vf3Wyzbq1q68fE8Z4yZIlQ0NDfr9/eHj49OnT ZrO5urp6pnNIo/O3olEAykC4klqmMSYgxK7EqgxAv3LPgogQBUAACECP2uSz+pTbGgCYr6/KAQAA ZUynFAAQgIAxQkijNHI3DUGIYAwA4aibHyMLwRuMGZQiAIIxvi57crLPyfYMQDMMEeNIqmXYMCRC DEoxQvFKvuQ4jrstJGJWJiHkoYceOnXqlGEYjY2NWVlZzzzzzA9/+MOZjreuyd+KclrVGjT9brNi x0hn8OMx33KTXB/Wvma3AECjpj81OiEicGD8PaetzzDCDIpF8itv4E8cFvGz/xEao/RTbvteQDWA bTArH9+MSwbnBwe/s2ePTEiKyfRgVdW6oqKfHDp0sLtbwHiW2/2HNTVWSfrGa69plMKV+ol2Wf6g o2NXY6NB6Zby8g0lJeK1v2KTfUbaeyyWlpGRfz12bGtFxYq8PMrYX77//p8uWXKkp8egdNusWXHa dY7juNtAIsZbCCG73T48PJyVlSVJkqZpmqbF4H2nzd8aofQZX2C2JIoIenVjjNIGTa+RxR7d8FHm Z8xHaQYh33ZaEUAKwQaAypjGoFHTACDEWJduMIA8gSCATt1QGfMQnHHtbWhBxrp0I8RYrkAMBufC WrtuODDyEEIBBg1j0KDZAnFhbDDoN4xhg1owGjAMhGCUUsoghWA+vZDM/OFwjs32V3fe+WF394v1 9asLCrrGx7+2YEGRy/WrEycO9/SszM8PG8bPNm6UCInUTzzU3d05Pv6tujrdMPZ1dX3U11d37fry kT5/sGpVpL1B6e7WVpGQPW1tC7OyBIwbh4cZY/0+X7z2muM47naRiPEWAIRCIYzxpk2bNE07evTo hg0bYnCDdH1D8+T6W5NaNf2cqskIdevGsxMBAjBiUAAYp+y9oGrDyIxRl66/EwxJgDZZlPeCKgJY bbq8asj+UHhfUKUAd5llP2Wv+ENugu8yK9HxFgV4xR86pobtGN9rUTIJGaX0RV/QSfBDVlOIsd9M BEYMWiCSx22Wbs34nS+gA1RIAgBc0unugFogkkWEVxxKdm2jo682NXWPj3ssFowQA9jb2dk6Oqoa RqrZDACX/P43mpsxQrIg3D9rVsvIiIBxaUoKABzq6WkeGam7rp5P2+joK42NkfYDfv9QILBt1qxX GxvPDgzMz8iIw05yHMfdnhI03rJarffff3/kccwWYpk2f2uhLC1WpG0WU4gxHeAJm7lVnwCAZk23 YvQ1uyUSfgGAiJAAQK9d1+BIKNyq6SJCB4PhFSY5VyAeQoqEaya3DMYOBNXH7JYFsogBBg3qxPhh m/mZiUCvblCAfcFwjkA+CKgPWsz1YS2VkK/YzRaEdvoCR9VwFRM3mhU+ucUBAEaoOj19aW4uwZgy hhHq9/kwQnM8HsqYcOVJEWOJEIRQJMGLAVyfvBUtkrB1oKvr/fb29tHR3okJg9JZaWmx2i2O47jb XoLGWzEWCZFulL8VIQHSGGvVDZUxACgVhVyBXAjrKQSViMIjVvO0W7kwniWJC2SxTBRSCZYQHAyF 3wmqj9muaZ9GcK9u5AokFSMAkBBkExxmTGNgwihPIKtNcrZAUgm2YuTVaI9uZBICAAtlyQBo1/Rq WeQhV5KL5GlN/ihgvLW8vCIt7eWGhn2dnYtzcmyyfHdZWeR6okhIWWrqmUuXGoeHI8FWeWrqtH1+ bcECAOj2eru83q/X1hY6naOh0NGenvODg5PNRkOhfp9PIiTFZJr5HeU4jrv9JFC8JUqyrsciT+s6 zNDDgijdaP2tHIGYMMompFAQDgXDuQJxYDxHEu40yUdDWhoR8qLmq1IwJoAQQLEgIEDrzfLvfMF3 AqpsQc2a/nZAzRDwRuWaa38CQlsspud9wfeCocdslgKBRLaNvG8uIUsVaW9ILReFeZJYq0gtmvGz Md8cScwVSaqEUwhu1Y3Zspi8C5NzABZJKnK5op8pcDotkuRUlI2lpa80NvZ6vQjgT956CwA8FstT a9fWZGYO+v0/PniwdXT0vy9cOPe664OTfTLGRoLBDItlW0WFIgiUsZCuDwYCs9LSJELcZvPz9fWH e3pmezz/+447hCSuRcNxHHcjiRJvYSKmZxYO9janeXJNFlvMVjlgjPnGhwZ6m9PS887XN/b29E7J 3wKAr9otkSUevu6wUAYMmIjQAlkiCApFgQDMlcTJxneZFQpAAL7ttAoISkThe04bAxa5gX6tSQaA Dt3Y6QtMbrJIlubLYrUkMmAEIXxl28n3fdRmfthqQoAEBBZAX3dYKGMAICBEATDAfAl4sJXk5ng8 Fdde4PtWXV3ktyjDan2ypgYDvLxjx+SrkfUdNpWW1uXk/OzIkYahobnp6ecGBgYDl4/MSM7WHy9a BAAIobnp6VVudySWwgjdW15OATaVlAgY31tRsbmsLLIVD7Y4juOmlSjxFhGUwvIFTeePHT/wEqMs ltVdEIDVkZpbWGUdm0j3eK5ffwtHPcAossXl9bEiUU70WlnoypOR1RzQ5Vcvt8Ao6odrxxDdLLLt te97dSMCQK78eP0AuKQ1ZTUHEn3MIARXYqxoGKEUk+nJmppD3d2UMRLVQyTHK7rP6FgKIUQAIHI8 I3R9zxzHcVy0RIm3ECZWh7tqwZqAf5xGrcoYA4IoW20OQRQ97hSE8I3yt26hElEoERPlk+eSHEYo 3+HIdzgAoJynwHMcx82MRPqrzwxD9WrBYV3TYji/hagkaxIWiNMXCKohlddP5DiO4zju1kqUeItR wzt6sen8Mb/PZ9DYzW8hhAghKanp5dUrGi409/b2R/K3mpqbvd7ROOXvJ52xsfGh4bF9+/bFeyBx YxjGmM93NBiUk7gqTnM4DM3N8R5FPAUCgcHBwQ8//DCZiyNdvHjx5MmTPT098R5I3AwPD/f19SX7 +XBs7OjRo7Isx3ssV2FjwincVHnlaeItTdNEUbz++QjDMPCV6mm3kKGH2ppOibJ9Ye0mSY7dLeWM saBvrP3C0d6u5oKCgvT0zEj+FkLIbnd94ubcLaEbaHhkPN6jiCeMsWYYBmOQxH9oOUKIKIqUUpLE +XCMsZku3ZbgKKXJHHBD5HyoaUZsM4s+0c3/v0yNt4aGhv/5X37xyCM7igoLJiZ8uqE7HQ6E0MTE RFjTBCK8/8HeUEh9+KEHAoGA1To1tfxzo4Y22N9Vvfgeu9Md40PNZLYFA96u1lPFFbWT62+VlpbO rirTwjOey8UBgNkshcPqypUr4z2QuNF1/dzhw0t8PkcS/6EFACgtTebDYHx8vKmpacWKFTEop5Gw enp65s6dG7NlrhNQW1ubqib9+fDcuSVLljgcCZTe4xvt7ap/+2Z6mPpb/ftdrz772/8CgIcfeuA3 T++cmJi4e/PGgvy8f/n5r8bGxjIy0k+ePK0benl5WXd39z1bNt/C72G6FibCDefVZg5CSBBlXdOu WX+LMS0cVtVg7MeThLSwGu8hcBzHcdwMmhpvPfqlh/buO/DVJ584dPhoV3ePx5328u9f+dIjD5lN ypzZS9etXf3Ou+8RTGrmz5s3d84XZtIbAQCwaesnchzHcRzH3aSp8RYhRJYlAEAIAWPFRYW5uTkL auZbLZYP9u3f9crrdoeNGhQhmLmrfoyx06dPX7hwYdGiRaIoHj169K677rJarZqmPf3005s2bcqY mUK509ZP5DiO4ziOu0lT4y2M8fp1aw98eHD+/HkXGhtPnjotSXJDw4X/fHpnSA3dtX5tSXHx+3v3 NTRcuNDYfM+WTTORZ6Dr+r/9279lZWW1tra63W6Xy6UoCgA0NjZeuHBhy5Ytt/wdI25UP3GcUjvG SZ2+yCW8sGGMBIMAQDB2yLJEyGgwqBoGAjCJolWSEEIDPl9knRUE4LFaEUBA03zhMEbIJknydb/L k31OttcpHQkGXSZTZB3UAb/fbbH4w2GJEL7kKcdx3MeYZn7r3q13B4NBm83+P/74j0KhkCiKVqvl L77/HQZgt9kFgRQW5suykpWVNUNJnYwxSZJEUTx16lR5eXlJSYnX63W5XB9++GF1dbXdbp+JNwWA G9VP/Cy5Q9YAACAASURBVLnXv9mszJbikFvGcZ/Syf7+P3r99TyHw6kodxUXP1BV9bf795+9dMkm y4VO5x/Mn59mMt333HNpZjNGKFI/UcT49xcufNDRgRC6q7j4ruJi27V3X0/2GWnvUpQzly799MiR ByorN5eW6pR+d8+eH65Z81Zrq4jxI3PmxGvfOY7jEt80AZMkSZIkAYDNZrXZLl9cS01NnWwQuS3R 6ZypGwcEQXj00UcPHTqUlZXV0dFBCLlw4cIDDzzQ0dGxffv2yNhmwo3yt/yUaQzGKD0YCgcpmy2L NoyGDDpHElXGzqhamSTWh7Uhgy5SxHRCjqlhBDBPEsUrl1xHKe3WjDJJ8FPWZxj5Ajkb1ocNulAR M6Zrz3GfFWOsLifnx+vXv9/RsfPs2ftnzQobxl/ecUdpaupPDx8+1d+/prDQY7E8vW1bZCJKImRP W1tA0/5uzRoG8FJDw7G+vtWFhdf3+ZO77oq0DxvGu+3tsz2evR0dK/PzTYIwGgoxAFXX+f0OHMdx Hy8R7zrGGFdXVwcCgdHR0UAgkJaWdujQoVmzZjkcjuzs7JnLG/v4/C0MSGMwSul/eAP3WpTDajiL kAuafjgUDjJ4PxgyYzRMjS/bLK/4QxWiMO/a+bAzYb1dNwYNWigSL6XvBFQFo4uG8eQN2nPcZ3Wo p+fPdu8O6vr8jAyMsUHpPx45kmoyMYDSlBQAaBsd/c6ePRghqyT9+dKlPV4vRshtNgOAiHHX+DRL oB3q6fn27t1WSfp/li7t8XoDmnZ3WdlrTU1HenruLCiI8Q5yHMfdvhIx3gIAv99/4sSJO+64IxQK HTp0aNWqVQMDA9nZ2WkzWd/tRvlbERpjw9Q4oWr1Yf3rdosb4xOqdjKsrTJJnZpxSA07ME7D+FEr wwBlkhA9WeXEuFYR/9MbyBXJUkV63R/KFoSlivgLr5/BNO057nModrkera42CUKhy0UQQgitKyoy ieK5gYE8hwMA0i2WHVVVkVwrp6IoguALhyljFEDAWJkuPaDY5frSnDkSISZRPNzT80Zz89He3uFA YCgQqM3KivkuchzH3a4SNN6y2WyPPvqoxWJBCC1cuFCSJISQruszugzgjfK3IgYM2hI2VprkIUoV DHki2RNQrRiXi4KPshWKPFcSswQiIAQAIlwTPAUYO69qZaLgZ6xV0+0YNWn6/hBLJwRN157jPocM q7UuJ2fyR4xQdXr6vIwMjNCetrbFOTmRJwFAo1SjdLbHc7i3d29np04pZWxOevrH9NkyMnLJ7/+n jRvzHI6hQODVpqaT/f2MXa5z2jE2drinxyJJVW435t8cOI7jrpOg8RYAOJ3OyIPJBPmZLqV0o/yt hbKUQrCb4IWKeFrVaiRRBFQoCOMstEIWrRjXyuKQQc+ENQowXxYj7aN7mKDUSfBaszhs0BZNr5Gl IYMOUbrdaiJX+p/RXeO+8DKs1qW5udHPLM/NTTObFUG4u6zsg46OoKbNTk//r/PnAcClKFVud6Xb PREOv9bUdKCr60/r6mZdN3k82SdjDCE0x+OpycwUME63WMZVVad0Y2mpVZJmpaWd7O9/9uzZAqez 0u2O2S5zHMfdRhIo3sIYT35djjHGGEL4RvlbWyxK5ME2i2mbxQQAfbrxzESgVBDmSiIBsGP8oNUU 3d7P2I/HfOP0cm3LPIE8YbMICBwYF4kCADxiM1/fP8d9bgVOZ8GVrygRO2bPjjxwyPLW8nIA+If1 66dstSQnp9rj+eWJE7tbWzOs1g+7uzvGxiIvRXK8Hp49GwAQQsUuV7HrckVRhNCy3FwAuCM/HwBW 5OevyM+fwX3jOI67/SVKvIUQtjvdvvFBml1MSExHpYVDPu+Q1e5yp6UCM26UvxUtheAtFsVDSOoN 5qUkgDUmeTJ4NGEk8GssXEIyi+Ljc+d2jI/n2u0WSfJfqRkayfGK79g4juO+MBIl3iKikl9S3dna IIiy2epAscpnooyODfWODvaUz13h802EgsEb5W9FUxCq/NjbCUWE5sn8fkPuNoAQcplMLpMJANLM 5k9sz3Ecx30OiRJvYSJl5FYQydrXeUEN+WN2YRFhbLWllM5Z5nC5jx470dd3iddP5DiO4zju1kqU eAsACBEys4szc0tjNrkVwRgDZjBGC/JzMzKyIvlbx44fb25pNAwjliNJWgF/YGx8YufOnfEeSNxQ SnsHB3fpegL9QsZcn66jY8d6enriPZC4UVW1s7Pzueeei/dA4qmpqcnr9c5cHZHENzExcfHixWQ/ H/b27tq1a0ZXJPisTEK4JOOmQoIE2hkAYMwAw4hPzjyAx52KEI7kbxUUFFRXVwPEayzJpa+3r+HC hbq6ungPJG4Mw7jY1lYdCNhx8t6pejoUogUF8+fPj/dA4sbv94+OjtbW1ibUn5kYm5iYqKyszM7O jvdA4qa3t5cxluznw4sXZ7R83+cQ9g9S7/mb6SF5f6uv5/MH1JAayd9yu9OcdlM4zOuUxIKiELvd VlRUFO+BxI2u62ZZLtQ0RxJXfe7RNHC7k/kwGB8fl2W5qKgomeMtm82WnZ2dzIcBAHR3dyfzJ6Dr utlsLiwsdDhmqmzg5+Ablbvqebx1i9Q3NF3N32JAKTUMPd6DSgqUX7flOI7jvtB4vHVVdP4Wx3Ec x3HcrcLjraui87c4juM4juNuFR5vXRWdvxVjDOCibmQK5HPcmdmo6UUCCTKgwJwYDxnUALBiNGjQ HEL4OqtJwq9p5wcGKGMSIQVOp8tk6hwb6/f5MEJORclzOGRCTvb3hw0DABBC8zMyJEKGAoFurxcA sm02j8Vyoz4n26uGcWFoKN/hiCyFem5goCw11auqBqXpVj4xzHEcd0M83rrqmvytWGnRdADIIOR8 WM/47PGWxthPx3w/SLEPGxQhEAE94wvUytKAYQQYbLcoAq+EnRzOXrr0zTffrMvJMRircru/vmDB jw4eHA4GUxQFIfTl6uoCp/Mbr722ICtLwDhSP3E0FHqtqal5eJgyVul2byotnRJyTfYZaS8RcrC7 ++fHj99TXv7Q7NkGpX+9d+8/bdz4WlMTRugrSXxfIcdx3Cfi8dZV1+dv6YwdUzUzRqWicFrVFsrS e0FVZaxJ0ynAZrN8IBQWAQkINpuV6JrTBsDxUPi9oGrF6AGrqVs39gbValm8Q5EB4GgofCAUtmC0 2iQ/NToBAH+RYh+mlDK4aBivB0IAcLdFySDkV16/FSMFoc1mRUbXRE5+yt4Pqj26MWAYAOBl1KDw ZiD0nC84ZNDjarhKEu82ywri8VayqM3K+tG6dR90dDx75szXamowQn9UW1uRlvazI0daR0cLnM5M m+1H69ZJhACARMgHHR2Use+vXAkAz549e7S39+6ysuv7/PH69ZH2/nD4YHf3+uLiY72964uKHIqi UwoAlDEap8qnHMdxtwseb111ff4WQahPN/yMdWrG3pBqABxWw5Hrd2tNioeQ/aHwapPcqRsfqdo6 szy5oY/SVwIhJ8ZLFBkDetkfyib4w2C4WBAYwJsBdalJKhaFfIFUyyIFMCH0bjB0v0V5OxDSGDMA dgfUL1lN+4PhtWbZS+kJVVuiSNGj7TWMD0NqjSxG4qkWTWcMlsjSsVD4HrMyatAlsuRI4sWcktDe jo6HX3xRIWRjaSnBWDOMv9m3TyLEY7F8qboaAJqHh7/88ssA4FKUp9auHQwEAMAiScAYQWjQ75+2 zx0vvOBSlB+uXds6MuILh8tTU3vGx9/v6NhaURHjHeQ4jrt98XjrquvztxBAhkD2BNUQ1ZYp0qv+ oILQo1ZTfVg/rKoZBCsIFsviAcbGGY3uyorx3WblnWDoSEi1m5XjargVYzNCBkCQMgSwXJGdGAFA rkAYgOnKLNRFgy5RJMrYUVUDAAXDapO8L6h26caSa0cbpExAaIkivxG4vEgYQlAkCmaM5sviawFc LPLcreSyPC/vB6tWYYQcsowREjD+Vl2dIgiHurslQhhAWWrqP27YIBGCANwWi12Wx0OhSEYXRshp Mt2oTwRgFcVDPT37u7rODwwENG00FFqWlxfzXeQ4jrtd8XjrqmnztzIJ7tb01WZlhSKfV3UVGAVI Jbhd0weoEWLwdlAdMeica8tXMwYhxtIJ6dONEGN3KrID4ywBpxM8gZiI4NmJQJ5A1prldEIawrqX Xg7XykVhX1AVEKqQLv/XKAghBMZ1K907CdYZe8EXHKMUOA5AFoSMqKR1hFCqybQgK0un9K2Wljvy 8y/5/W80N2OEZEG4f9asBZmZ77a3//vJkwxAEYSajIyP6fP84OBEOPz0tm3ZNtt4KPTM2bMf9fVN Xkbc39UFABlW6+bSUsJnVTmO467D462rpl1/K1Mgf2i3FIlCGsGP2Ew+xnyU+SnbYFaqJAEDFAnC AglVS6IWlcISYkABUjBeZpVKROERm/mEGpYRYgAZAtlhNdeHNQGBALBQlhwYmzB62GoWEFpjlh0Y M2CLFQkj9ITN4sBokSwBgHZtikwmwdutphGDVUjCZBvLlX62Wkw5QvKuVJ6ESlJSdlRVRT/z8OzZ hU6niPHK/PxUk8kmSd+orVV1HQBEjCVC8p3Olfn5B7q6nj9//hu1tbkOR/jahWcn+2QAaWbzppKS fIcDI5RmsWwuLdUp/eaiRSkm08r8/Eh7g1LM8wU5juOmw+Otq6Zdf8uE0OIriVPF4jUfl8ZYFiHL FCmNYJ3BT8d9jZoWecmB8fecttQrGfQFAikQrl6smSUJs65MX4kIFsgiAGSZCAC4MI7OA1umSABQ IgrT9r9AvprRVXJlbKtNMsDlPrnkkWY2L7/2At/S3NzIA5Mg1GZlAcDjTueUrUpTUnLtdhHjF+rr ZUIOdHefGxiIvBTJ8Yr0iQDSLZb0K3cvIoCy1FQAqHS7AaAiLa0iLW0G943jOO72x+Otqz7r+lsi Qt91WSMFhgUEX7WbtSszUAgg+nbFmzfT/XNJSxGEHbNn31VSYhbFhdnZk1NckRyv+I6N4zjuC4PH W1d9jvW3om8AdM5w2spM988lLRFjt9kMABaRT4tyHMfNCB5vXRWdv2VQI+L/Z++849s4rsT/Zhs6 QIIAO1jFIolNVLWq1btlxY5cz7HjJJfmlEtycZxfnMTJxUnuEueSS+I4dhI3uava6r1SEklRpEiR Yu8UAJIgOrBlfn8sDVEA1WWREuf70UcfYrGYeTPz3uzb2bdvRlqoMYEkSZKEBWHs7g4ua5oIIIzh RFYYQBLFMa4GGGMy7QiCMMbVQJKkMd4D8v+jqhNu3jCJv3WRofFbx44dP3PmDCav/t0WfH6f2+39 29/+NtKCjBgY44aOjvUwpncDsIkie+xYTU3NSAsyYgiC0Nzc/Oqrr460ICNJa2trT0+PQqG4+ql3 KV6vt7+/f6zPhw0N69evR6Pp/RutQpyUNUzSnGuH+FsXGRq/NW3atEmTioi/dXtoaW05d65uzZo1 Iy3IiCGK4psvv7zG49GP4afGx71eetq0adOmjbQgI4bT6dy8efMjjzxC02P35eINGzZMmTIlZQxn d2tubq6srBzr8+Gbb65Zs0av14+0LBfxOLocHcdvpgTib11kaPyWguNEwRcM+EdaqDGBwPsZhjYY RmCn8FGCIAgMTespyjCGL7RqigKFYiyrAQAghPR6PcOM3ZlZoVBoNJqxrAayAozlHhAEgWEYvV4/ qjqBltyOmyth7Fp1JOH5tzDgMRxMc1sh/UwgEAiEUQwGwBhjSZIkCYZ70Cld7YEY8bcuMmz+LQKB QCAQCGOcIC82t1m7bF4YElY2dFEGSxJNU+MuH4ZL/K2LXG/+LQKBQCAQCGMBScIx8eMKpy+Vl7rk xzKSGMSSCFjEWPJ5XdUVx65QAvG3LnID+beGEsT4VICfoeRogCDGR/zBAo6Noan9vsAMJae+/vcs TgWCmSxjvFoA9dB6CWOWC273J/X1oiTpFIp7LJYUg+FIa+s5u52hqNSoqGlJSQqa/rCmxh0MAoC8 f6KG4xp6e0u7uymA4oSEcTExaLgyBUmSz9dynDMQ2NvcPDUxMUmvB4y3NTTMS03tcDoBgKSYJxAI dzcUzajUWsAhfwuLPCVJPJYESRIE9ioX4bH7MlQkaamW4uJJYfsnAoCA5cRIg//Lq4cSAI8x/+lH AUOfJP3L5RExFgEGJPxiv2unzx/E+B231yNhDCBg4DHGACLAJo+viQ/PLBI6R87ysdXjb+IF4dPV SrnGUAKQTwXAAxIO1UsYszQ7HOurqjDA+b6+1ysqBElaf/Zsi8Ph5vlNtbUl7e19Pt9fS0sFSYJP 909s6u/f39LiCgT6/P79LS0tjvBgULnM0PkAsL+l5cOams11daIk8ZL0anm5Oxg81Np6qLX19jeZ QCAQRgQsSTB48QeM8TWGepP1rYtcLn7rHy6PU8IeScpkmWZBLFawS1TKOp5/w+VFgJaqFfeqFP9w eQYkyS3hJl5sFoR0lmEQdAhiIz/oBfWI0ka3r00Q1mpVPIZf97uLFewvjPqYIdvy9IrSFo/vdJDP Ztmv6jUSwE5vYJ8v8AWdOpamS/zBT7x+E009rlVHU9RRf+Bjr18EWKdRSRjkeqcpuBiyz89YxWIw rMrOPtbRsaO+HjBmKGp6cvJ4k+mC293r8wGAXqFYlZ3N0TQCYGm6oqcHIfREQQEAvFlZWdbVlR6x waLFYLgvJ0c+v8/nq7xw4f7c3OPt7V0uV7w2/M6EQCAQ7nqCPF9VeSYtLdUYHS2KYlNzi8AHx2Wm XvWH5Np8EbfHa7f3imL4slObIOopNI5jjvmD81WK3d6AU5LSGWadVpXN0ps9PhHjdkFMpGmXhLf7 /EaKiqJQAk1bGLo0EAxgAIDyQLBNEGNoapvHX6xgZ6m4dVpV2B6IpwJBqyh9y6B9TKdiEQBAHE1l ssx2b0DE8LHXH01RXYJ4OhB0Yeljr3+1RvWjKF0KQ9skabBe4myNYQ62tHxj27bdjY0PTZzIUFRQ FF86fvzbO3bYvd7pyckAcL6395nt27/2ySfPHzjg8PsH/H4EwNE0xzAAID9qjCxTPr/f5zvV1WX3 eimEMMCOhgaRvFVKIBDGHoFA4MiRo//857/q6uoOHTn2t1f+2d194Vp+SNa3LnK5+C0KYLKCQwC1 QWGqgn3d5ZUAzgb5LV6/BGAXJQBAACaaYhF4JNwrSSlA0wjuUXDvun3dgggAfoxreT4X2DSGViKk RUhHhYd0+SSspahEhtYgJNc7ScEhgM0eHwbcLYg2JMXRVDRNiRjcEk5haBNN2UWJhsF6b09HEUYn y7OyXlq6FAAYikIIcTT9iwULTGr1lro6VyCgoOm82Ng3166VnwxyNB2n1Xa7XF5BwBhTCMUNt14V KtPD82d6eqwez/7mZg/P19hsXS7XbW4ggUAgjDg6rfbhhx/6+99ffe7HP+EU7INrV8+8Z+q1/JD4 WxcJz7/1KQxCFAACoAEoAHlHXxohHuMABgEggIFBCAGKp+nVauURfzCZoRlASQydx7ElgSAA5LLM FAXHY5zA0BhgkoKrCAo5LKulLjpdExRsldv7X/2uPJZZp1WH6kUAFEIr1MqqIK+jKB1FqShUqGD/ POA2UdRyjTJUr1UUE8ZwwsyxDIUQ82mUlQxDUSxFZcfELExP39vcPDslpXVg4Id79lAIaTnuP2fO nJqYuLOx8ecHDgREsTghYWpi4uXKxABtdrtXEP60fLlJrfby/JuVlaVdXTRFyRWtr6qqslozoqO/ OW0aO4ZT5BMIhLFAXFzcl57+4gcGfUa6Zf68WQyNJOnqWz0Sf+sil4vfelKnNtMUADxNaxiEvh+l NdGUnkJReo1LwkqEVBR6Uqc2UCiVpdMZ2kRTBor6TpSWQ2i+SpHDMSaaiqLQ4zr1gCRFUxQNsEil 6JckH8Y+cfChDItgHMM8pdP0i5KWQgy6pF4aYKlaOZ5jACCJptUIPaxVtQsiAkhhmO9EaeV6r/oy I+FuZWJs7HdnzBh65Jlp0+K0Whqhwri4WI3GoFD8deVKOa6To+kopRIhtDQzM9Vg+Ht5uZpl9QrF BY8nFPiJACaazXKZCCAzOvrpoqIYtRoA1Cy7NjcXAArj4uI0mpVZWRPMZgDQcBxxtggEwt3LxSCK +Pi4p578AktjisJYdrauFmJB/K2LXC7/VgozuGZgYWgAyGAZAFAgNI5lws4xUBQAJDE0AORQDABo KZRNMQDAIpTG0ACDRWkpFMDoRYdr4NOHgDks+x2DNoWhQ9WF1aunUB7HhmqMoqgobvDapqeYUL2E sYmGZTWXRrtnREfLf7A0nWIwAMD0pKSwX8VqNNEqlTMQ2Fhba1KpdjY21vX2hr769aJFaZ+WqeU4 LccN/WHo/zitdthnkQQCgXDXgBCIvJ8P+FhOKR/QarUi75MkXj4h4HMDXCmqh/hbF7nJ/FvXSwxN vWi8ZDNOZhRthU4YK7AUtTIra2lmJkVRc1JTpSG3aBx5Nk0gEAgAAKBQqCQx0NNxPjF1QtiO8hhD MODvaKs3RJvQ5XNtEn/rIqH4LYqiAIEkiVfeDglfNmv/tRL26OW6XvhCAAjdNS+ISQAYS2M3gxjG Ik0hTCE8Ij43QgwlTx9o6Cxym9ULUQhjaWyrgUQhwFjE0ti996IQYEkcy2oAWEJkPry9swGGK853 CBCi1NqotKzi7s7G7s6m0G+wJGIsAWCEkFJlyMguROiyMRXE37pIKH5r4oRcp8PeWH3E43EPe6Yo it0eZas/4TZLOASsY7wLMpz0XTEtMzxv0QVqT7wz0oKMGBjjnHTchdXdIy3JCMJKHBWsrT3RMdKC jBiCIGTFuhtKPxhpQUaSRI3N1Xm41nZipAUZMQLBYLLOOdbnw3hvV83H3de/L8uN4Q8KvY4AzSqG FQdhMSk1NyVjojneotVFBQI+jMPWYhDNMGq1TqFUX6EW4m9dJBS/RSPR3tNkMicVTJ3IcKrIM+0X 2npPViRb8q8xq+wth+d5W0tVbEIqQ90VDhcBINo0gu77qCA81+qYxBSXPNIijDBRMfEjLcLIEzfW J4PbPR86HP1qUV00fVnkV1gSe3sauzuaFApVgmWcVh+thegbq4X4WxcJxW/12bs1emPG+Oksy8Fw /rVKpQUKYcTw4kj4WwhoBhCiFCod8bcIBAKBQLgZOD9Pe70q9fDv/agyitQ6c31NSXxyBkI3HtVK /K2LhOK3+GCAYRQsyw7ZA5x393cptUZOqQMAAIwxiBIWrzPFqIQlClEYY0AIAWCMrxBbd1kQAGBA CFE0Iv4WgUAgEAg3AUIUIDmhA/Z6vWVl5XFxsdnZ2Z9+C2qN3u8bPr7o2iHJci4Sa45JtcSDFMQg 7/4NgDFgLPKB3q4aV387RTHyEcCD/pZwPf94Uao9e8br83V3dXZ3tPkCgbqaSl4Qr6sQQcKiiCUJ 3+5gZgKBQCAQ7lbkmHmMGZrutdtfe+0ftbW1GEuDF3241k2prwDxty5yyf6JGGMsYixKYrCvu8bj 6DIm5NIMKx/EWMQYC6J0ff8E0e1yCqLk83l9fj/PCwMOx3UXIkqCKIlDNicnEAgEAoFwc2DAEsYi y9KLFs3X63V//vNf2tva5Cs+hAfI3wjkeeJFhubfwliSxABgzPM+n9sOgCmKkoSAfKYk8hLGQUEM 8NcxBhhLoiQFeVEQJQAI8qKEpYAgXm9aB4QAUxLxtggEAoFAuCVgLIliACQJADgWxRijTp482dnR mhhvQgiJYuCq6eOvCvG3LjJ0/0Q58wfGEk2zxoSc/p76AVuzwZxOUTQAyOtboihdOUFXGJIkIUSJ 0uCqpChhACSK0g3sgIKvmMSWQCAQCATC9YDlxG+SJJWVV1RXVz/15GNFhXkYixjDLckERvyti1yy fyKWsCTIOTY4hSY6NsPt6BF4H8sqAQBLIsZYkrAoXp/fk5QxnmZYQ0wcQoii6aT0XIzhegtBCCRE 4rcIBAKBQLhFYNnfEjweT1NT0/x7Zy+cP4emQN4bEV/DdtRXhfhblyA7WBRF8wGvKAZDLw+yCrXB nErRLMYiAGAsAgZJkqTrfKynUGokCdMMBwAYg1Ktu94SZKS7J7M8gUAgEAgjDIbBoG2NSrFqxWKK ojiWlq/4AMAHgzRzs/4S8beGQW8wdrbZ7D0t0aYEmh7sIoQAf7otJZZEDJhCiB2Z/O4Iw4gk/iIQ CAQC4W4EyxtJCQCgVDDw6ZoWxtjrHujqbDOaEq6wV8+1QPytYYiOiXe7HI11Z9jmejRcdFUg4PO4 gnZny20XbRBJlDSS29peS5MXTAkEAoFAuAk8Xp/dOlB+Ym/ke4gYcNDn0kcnZk0ovJF8mUMg/tYw 0AybnJoTZYwVBf5yy0iZ+axXZG+rWJfCUtkxKn4EBSAQCAQC4S4AY5yUddmIeApRaq1BqdLcZC3E 3xoehuWijHEjLQWBQCAQCITPHN1nXwV5HEUgEAgEAoHw2XKV9S1RFE+eKj148IhSpVy5YllmRvrJ k6UAMGPGtGspHWNcVnbaHwhU19Q89PkHo6IMGzZunjKlmGO5hsam2bPukU8rKTl57WUSCAQCgUAg 3FlcZX3L6XS98+4HFkvy5OKis2ervV7v+YaGyqqzdnuvnOqTF4Te3j6Hw8HzwoDTiTEWBDEQCABA X3+/wzFQfrqiv99x9OjxYDAIACdPldmsdo1GnZiQAACBQKC3r6/qbM35hgYA8Pl8dnuvz+f7zNtN IBAIBAKBcLu4yvoWBqxUqgRR0Ol02VlZGo0GAI6XnGhuab1/zaqpUyaXlpa/996HFE3ft3rFyVNl K5Yv4YN8zbnaFSuW/v6lP82dM6u3r2/B/Hsxhsqqs9FRUTabDQDq6xt37dn7n9//7oaNW44eO+4c cC5avCAYDL7z7gdHj5VMmlT42KMPRUdF3Y4OIBAIBAKBQPiMGcbf4gMer8sm8n4A0BlTvvbVL+3e H/38LQAAIABJREFUvXfjxi2JiQmPP/YwAKSnp61YtvTDDZuKJxXt239g3rzZgiAcLzmhVCrPnq2u b2jyer0Mw7jdbsfAgEqpSkpKHHA6N2/5WKPRtLS0AQDG2OEYEEXx8JGjD6178PjxEwDgdLm27diV nTXu4KEj986bI/tbnoGegNdxO3uEQCAQCATCaAQhVqFRaU0MqxxpUa6bcH+LD3h6u89RNMsqtBTF CBLV1dW95r5Vdefr//GP1x/43P0AkJaWmpJi6erqxgAIUTwv0DSFJZyZkf7hR5smTMhdtHD+m2+t j4uLO19XP2/eHJqhowyGn/z42dhY87PPPT+0OpqmAbAkbyiIAQC0Ws3qlcvjYmPlExDFUsyd160E AoFAIBBuMRj73H0B70B0fBZNcyMtzfUR7m85+9o5pSE6LouiGQAcDAZ9Pt/vX/pTX3//vHlz9Hqd Rq3heR4hFBVlQAAL7p373gcfSZL0yMPrDAa9Qa+/b9VKiyX5+PETKpWqt7evID8PAMxmk5woLCrK gBBiWEaj0VAUNf/eeRs2bnG73BnpaRqNZvXK5ceOlTidrnnz5sjyaPRmjSH2NncKgUAgEAiE0QbG mA+4HRcafO4+rSEB7qiNhNHuLa8uWP5YwOtorT2YNem+zvrD0fG5al1MaDdsQRCcTpckSRqNRqVS BoNBnhfUalVvb5/JFCOKotPlkkTJYNAjhFxut0GvRwh5PF4ACAT8RqMRAByOAfkEj8fDshzLMgMD zqgoQzDIO51OhmFYltVo1MFg0Ol0IYQMBj1z03sVEQgEAoFAuLvAvV21NKuKjs3AEengRw+SxF9o LmUUOlNiblPNkfbOCxE+DZYoih7aBoZhjMbo0EeO4ziOAwCTKQYAaJoeGtgeZTDIf2g06tD/ABAV FTquGXqE41i5nFDhQz8SCAQCgUAgDAEN7quD0B21vBWRDwIDAIzIHswEAoFAIBAIdyckv/wggiD4 /P6RloJAIBAIBMJdyDXFSGEJsIhBwoAAUQjR6PYsgd3OetvauyqraubNnRUdFb6Nks/na2/v8Pn9 JlNMfFwcTdOflRAEAoFAIBDuRq7ub0kBydvvsve0e5x9iEIaQ7QpwaI26BD72a6N3eZ6tVpNcnKy QqUFhABf8kx41559hw8fVSgU4zLTFy1aEBcbe+LEqZkzZwx1vDDGe/bun3nPjFDIGoFAIBAIBILM 1fZP9Iv21o7mpnJWq1BHRQOAfaC9p6d+XPZUoyUJUeHLTZIkiaIIgBiGRghJEsYY0/R1e0jXWy/P 8yzLAoAgCAzDYIwxxhQ1WK8oihRFDUbYXYZYc0xcXCwAhSU+7Ku6uvNxsbGPPrIuEAgwNPO/f/rL W2+/+5P/92yc2bxv/0GTKWbF8qVlpyt+89vfP/7Yw48+vG73nn2dnV33rV5hMpm279h1/nx9YWHB /WtWkYUxAoFAIBDGJlfyt7CI3Rf6W1pOm9LSTEnZgogoCjEUtnc3NDaXqWOjVSrNJedjfOjw0R07 d/v9/mVLFy+Yf29DY+OBA4e+/rWvXJdMoXrNaekpWYUKlRYA/F5XR0v1sPUKgvDib373tX//ktls +vtr/5o3d7Zer6+qql6+bLF8wu49+0RRXLli2RUqFQSBF/wqpVJuiCTyckYMimbW3Ldq1+69v3vp j0WFBatXLZ81854TJ05NKixgGGbmzBnV1TWbt3y8cuXyxIT4osKCM5VVpysqExPitny8rXhS0cFD h+fOmZ2fNx6LQUG8rm4gEAgEAuEOBlE0RTMIkUhxgCv7W6JP7Oqs05pizMnjN2zcvGHDBofD8cgj jzz6yMN+n6unoyE9q2hotjFBEDZt3jp5cvG0KcX1DY0Oh8Pn9dXV1dfWnU9MSNDptIIgdHR0utzu FEsyLwgURRmjo202u9ls6u7uiTZGy+5OqN6MCdNZTiEXrtZGZeRM9XudkfVKGDc0NGKMAaC1tc3n 9aWmpFgsSQDgdDo7Oruqa86ZzSYA6O3r6+rsNsZEJ8THh1a/ZIbEb2n9nj6HtZEPuDHG+pgUk8n0 +QfWWm229evfi4kxTp0yWaPRWCzJBw4e2rFzb1tbW3p6WmpqSlR0VG5O9r79B48ePWaxJKenpxUV Fly4YD1TWaVWAMe3X3mBjUAgEAiEuwZEUaxCrYtO1hjiicsFV/G3AqLV1pQ/Z/mp0vL9+/fr9fqD Bw/29PTk5ORMLsw9W7Y7LatoqAeBECosLOjq6qqs4iYVFRqN0e3tHU0tLe+88356etpD6x44X9+w fv37gUBg0qRCAFCrVbk5ORs3b33yicfeXv/e6tUr8iZOGFovy12SrZ9h2MSUYeoFgCDPf7Rhs0ar rq9vAIDa2rqNm7e+8LP/99b69+rqzjv6HQsXzff5fG+//V5DY2NCQvwXn3oitGWQTCh+Swj6nb2t akO8PiaVolkAKDl+vK6uLhAIYAx6vZ5hmLi42Lq6852d3SqVMic7y+f3S6KYm5NdW1dnsSQvXrwg MSFhfG6Ox+OhKEqn1bZ02Nc++DjNkOeJBAKBQBgTYEnwDPS4+toZTq1UR139B3c7V4zfwjgY9KrU ut7e3pKSEoRQIBCw2Wx2u51TFnndAwBo6DoTwzBr16yqOltdXVP75lvvfOnpJwHAkpz09NNPvvjr /1m5cllt7fmUVMs9M6b9/dV/rli2tL6h4UxllVqteefdD3x+P0MzYfWGZwJDiFOqI+sFAIHneeGS uCtBEERRrKio/OpXnj585BgAeDzej7dtT0iIP1/fsGL50jB/KxS/5XX2SqJoMKUhQFgMAkB+3nie D3Z2dt1//+rCwnyOZb/41BNYwqtWLi85cdLhGEhPT6MZ5tFH1lmttokTxiOA9o4OhmURQgzDFBTk TZ8+lUIiFskDRQKBQCCMFdQ6k99tD3gHlBojjOJc8LeHK/lbiEEardHj7EtJSdHr9VVVVRRFZWZm WizJroFefZQp7HxJkk6VlptNpklFhWerqvsdDgDQ6/Xx8XEejwdLWK1WOxqbGhubNRpNYlLihxs2 ZY3LXHv/6j//5RWapvR6XVi9Wr3pkmdwGA9bLwCo1eqH1z0YG2uuqakdejwqytDS2mq12aKNUQgh S3LyPTOmpaelZY3LDCshFL+FJQkAKIqRxGCo8Nmz7hl6cm5OtvzH6lUrQgdTU1JSU1IAYNaQky2W 5Cv0MIFAIBAIdysIUQhRGGME6I5KBf+ZcCV/i1bSCYnZnU3VBYVzf/SjH33wwQcURa1bty5/4viG s4eS0vPQpctMskPzwUcbe3p6Zs2amZaa0tHZlZqaAgDjc3M4jp0yeVLV2eqSEyfX3r86NSU5L2/C ogXzs7PGLVpwr9PlMhj0YfVGxSQq1RezYfn9nq6Wmsh6Q+UDQIolWaVWAUBqagpN00sXL9q1e48o SbFms06nW71qxY6du5pbWnNzs9XqSxI3hOK3FOQpM4FAIBAIt5CIq/YYJHy/6o7zB01JBQq1DjAG jL29rpqqwwq9xpJRqDGYMcYep62tsYKiqPGFcxmaDutCjLEoinIuBjn9gZygQf4fAERRlCSJpmmK okRRRIiiKIQxlg+GSgnVmzpukt4YBwDOvgvN9eUUhYatd0j5EkKIolAoMYQgCAghhBBN0/JHAGAY Jix63WrrbWvvnjBxIgTtA7aWpKxZofUtAoFAIBAIN0Bfdy3FKKPjMuVX/kdtmbeca9iveigIqaK1 EybNaW2rqj97WBQFAERRlD46LnVcAcPQYXlBAUCOWBp6RP4YOkjTdMivCv0hO0PD1ltXefBa6h1S PjX0CEJIzssVqmjox6GE4rc8gUgn/HJu+ah93/AK9xGjVuZr565p3R2nV6OTu0YfboDR3PY7Wr1H p/CjebgJV+cq+U4RTamjDFna6T6vKxjwAyBOqVKrdTQ9jNNzC7n99Q7NvxUCY4n3uwJ+lxzUFS4j y6m0JooaVW8dYiHg8fuckihEfkfRjEprpBll5Fd3CpIYDPicfMA3zNSDkEKpVaijR0Ku6+MO1KtR yt2hDzfGqG07loSg3xnwe4abqxGrUCo1MaM2O8CotU2R9wd8AwIfiPwKUbRCbeAU2tsvFeG6uJb9 EzHDMDq9ceiR2/Ik9rbWO2z8FsairaeltuqEIAjh70oCUmv1xbPWqjWaz9T1vC4wxs4BW2XpgYDf FymwQqmeULwwNj4V49G7BntlRMFfU3Gk19YVeYVhWc6ckJ4/dSlE7BAw2rjj9GrUcnfow40xatsu SUJLQ1V7S50YcddHIVoXFTNlzgOjNjfOqLXNgN9VcWq/a6AXLo2EQYAYlkvPmZyRMzVycxTCqOKa 9qsGgJELdbtN9V7cPzHoH3q8396VlF4wvmh+mJZjSTq6+w2f16XWXJLsvr6+4fiJkwihWLN5cvGk mBhjaF/FEydOjcvKFEXxbFXN1KmTFQpO3ofxVGm5XqfLzh7X3NwCAKmpKcMez8oaN+B0lpWdtlqt RqNx2tTJUVHDZDTxeRycUnvv6q+F30FiXF2+19HbE5uQOrRTMcYXLlhPlZZjwDOmTTWbTRjjqrPV 9fUNKpVqyuTiuLhYq8127lzdtKmTVSqVIAg1NbUqtSo1xbL14+0er0epUBQVFWZmpDc1NctyyiWX lJw839Ag/z1j2tT6hsbevr5QvbFmc1pq6snSUvlj9rhx06dP3bZ9Z19/f5TBMGVycXx8XGSGWCxJ vdaO2cue1uhjwr5yO3uP712ff+k8GLmvJc/zZ6trJEkqyM9nWUZO2JaVNc5qs7W0tE2dUrxr996c nOzUFMvJk6XjsjKN0dFh/SMfjzEa5d+mpqbI/QAAHMutXrWiq6vr+ImTHMvl5GTl500Me8Iuc/N6 tW37Trk/KUQtX75EFMXIMcoal+l0Ok+Vltvs9hSLpbi4qL2t/fiJk6FiKUQtXDj/2LGSMPmH9sm0 qZN5ni8tO93W1m4yxUyfNkWr1Xo8noozVR0dHRaLZVJR4ZkzlaGxlstZumRRW1t73fn66OioaVMn X7DaSi6td/nyJXqdLmwshraxoaExrMzVq1aE7U96A/oQOb5Wq620rNzj8ebmZE+cOP7UqbIr13vV tq9etYKmqZITp5KTk9LTUmmalm2BpmiLJXlSUcGhw0dH0BaUSsW52jqaog0GfUdn19QpxUNtJBgM Dt0f1mqz7d69T5REWc7FixacOlVW39Co0ajz8yaOG5c5XBpnbO1uLpi2Ii45O+wLgQ/s2/JXURQY +pK4DnlujI6Kamtv7+9zjBuXUVFROXPmjNLSctnWIMKWg8HgsHZ3BRuJHOth91i7Xtu8qj7MmD7V arNPmzo51LcIoTOVZxubmpKTEosKCyiKko/LOYxiY82pqSmXdiwWgn6Pa2DR2m8xrCKst7vb6lrO l2XmTgu7WEbOdUP7x2SKCQaDp0rLu7q7J+Tm5uRk9fX3y/YekrO0tDwpKbGzs6u4eBLLMgBgs9nb Ozp9Pl9jU5Ncyz3Tp8lzoM/ni401z5g+LZRqgBDGKF3Uvf3EmmOmTinUqDiImKQQRdMMS9PM0H8M y8mvuYaVc/zEyZKSk6IgHi85uW37Tl4Q3nzrHY/HAwAbN29taW5tb+t4/ue/LCsr7+93/P21f4mS 9NGGTb976Y8Ox8DxkpPHT5x0OAaGPR4IBvfuO3D6dEUgGOzv76+sOisNs+I96KAyDBcmMM2wNMNK ERlQ+vv7P9m+s6Gh0evx1tbVYYwrzlTu3LXH3ttX39D48SfbHY6B9raOX7343+fO1QGA1Wr73z/9 paTkpMMx8M9/vSnwQs8F66uv/svpch0/cXLotfyjjZvb2zrkvyUJy1NbScnJkpKTACCK4omTp+S/ ZXhB+Oe/3uzvd1ittj179zscjmFHSpIkhlWEt45mWFYhRWQ4G9r/Mlar7b33P1r/zvtWq1UeL1nm 9raODRs384Lw8t9ee/Otd4LBoDxekf0jHw/9NtQPAMCyLMsysg7wPH+qtKyy6uywrbh5vfrnv950 OAYAACEkiuKwYxQMBvfuO1Badtrr8R46fKSk5KSsMx6396233hV4ASHU29sbKf/QPsEY7z946OCh wy63u/x0xfYdu/x+f2lZ+cZNW51OV2NjU2VVlSxkc3Prpk1b5XK6e3pef/Ntq81mtdpOnSqLrFcU xcixGNrGyDLlGf8m9SFsfPv6+z/ZvuN8fYPT5dq5e8/Z6pqr1nvVtrMsU1t3/sOPNq5/5z2P1wsA H23c3NbW4fV6t23fefJU2Qjagt1uP3zk2JGjx4N8sKOzU9b5oTYSmn/kj7IOyH/LG9F+tHFzW1v7 wIDz0JFjLS2twwqGJYmmw3WbphmGVQy7MLRx89b6+obKyrPbtu/yeDx9n86NIVuDCFu+nN1dwUb6 +vsPHDp8wWoNBgOl5eXV1eeGF/46bfPqttDdI/dhqG8rzlTu2rWnr7evra29q7tHPt7f7/jkkx3n 6upEURzWi5WwONxwsyyrkIYLG7+yfWGMDxw6fOjQEY/bU1t33ul0hsY6JOfGzVura87t3LWnoaER AHieP15ysrKyasOGi3N7aCx4nm9tbdu1e4/P5xu2YwnXvr51lzNs/NaNkZubs3DBvbv37LtwwTrs CSzLnKmsMpvNg58xZhim5MRJURQvyUF/6XGP23PsWMm3nvmaVqNxuz3+QCBsS6Ibo7vnQmtr27e+ +TW9Xu9yuSiKOnToSEF+3oL585xO1//95WV5tSPI81Vnq9PT06pranv7+jBgANDptEuWLGxr66ir qxcj5neapidPnlQ8qQgAoqIMubkXb3afePxRAHjjrfW5uTnLliwGAPmeVc6jptao//ePf+nq7omO vsUBKKIo1jc0mkwxDE2fPVsdFxcbeQ4G7HA4yssrZM81sn8AwGa3W602j9ur0arlfli6ZBHLsqEX MmbMmPbIw58/eqzk4MEjcg/cPGF6pVarF86fJ2uR2WRqb+uIHCO3x3PsWMk3v/HVxMSEs9U1H360 6WfPP5eTk2212o6XnHj88Uc4lrVabZHyOxwDVqtNTqEniuLePfs///kHigrzOzq7/vinvyyYP8/r 9QPgwsL8pKREhUJhiomZMWNaWdlpn88nD25t3XmPxzs+NzsnOxshlJSUmHtpvaIoHj5yLGwshrbx iX97NKzMW0LY+Pb0XGhtbf/WM1/TqNV79u4/cODQt7/1jSvXe9W2+3y+mppz06ZOaWpubmlpzc+b SNP05OJJWVmZVpvd6XStvX91qLTbaQvBYHDrJ9tcLs/jjz6UlJR4+vSZa/lVYmKiLBjHsfK7TUuX Li7In/je+x/J+nbzgmFJOnjoiM/nf/CB+3Nzsvv6+q/lV5F6e2UbqTlX29jQ9O1vfUOh4I4ePb7/ wMGCgrybF/6q+lBWdjrsJ4cOHcnLm7h40fxgMEjTjMvl6nc43lr/rkqleuBza0wx4QuWN8Cwc93Q /pHt+nOfu39ycZHb7dFoNADg8XitVpvNZguVY9Drp06dvP/AwezscXZ7b/npiie/8Hht3fmhc7vD MWA0Rj/26ENOp+vXv/3d/HvnqlSqm2/C3Qfxtwa5hfm3Pvxo48mTpSzDfuuZrwEAQghjjDEOrZwV 5OfJtzhycgqapufPn1taWs4puOTkpFA5YccFURgYcJrN5rfffvfgoSMcx/31L//LXeZ1y2snEAiI ghAVZWAYJibGCAB9/Y7o6GiWZaOjo3heCASDAJA1LrO9o3Pf/gOnK84UFebLv21sav7Rcz/VarXL li4y6PVhJfM8/9eX/24wGADgy08/OWfOrGH7qrS0HACWLF64bt0D8kGNWu33+YKBW5+PY2DAuX// oZRUCwLYf+DQ5CnFACDfsEpYku8otVrNzHtmHDteInsbkf0TaldPz4XHH39Y7odnn3seIWQ2m37y 42fluhiG0ajVl1uZuAHC9Mpu7/3Ff/2G4ziOY5/94fdhuDESBMEx4DSbzSzLms1mm80+bMmR8svj 4vV609JSMcb9DkdCQjzDMLFmk8vlliQ8e/Y9Xq/3/Q82xMXGLl+2OPIKkZmR/vkHP7d7z94jR44v WDAvISF8x9JhxgKHt/GzYJjxFcUog4GmabPJdKq07KolXLXtbe0dlVXVUyZP0ul0O3bszs7O4nn+ 5b/9XaVSJSUmTi4e3v++DbYQDAYd/QNKldIfCFz7dq7Hjpd8/z+fA4DxuTk/+P53AAAByF6Ox+O9 JYJJGPf3OzQajdfru/bbyGH19go2EggEfH6/SqWkKEqtUff13xrbvKo+AABgkNMeIYQQQG9f/4yY aJZlOY4DAJfLFfAHvF6vUqGQJAljfPOb7V7VvjDGff2OpMQEhmGiogzyr+Sxxhg7nU75CMuyEyeM P3euru58fXX1ueTkpKSkxLC5PUdOAI6QVqd1DjgliQSeDg/xtwa5XPzWDfDUk08sW7Low482uj0e SRS1Wk1rW7skSf5AgGEZgRdUKtWSRQtffuXVwbVxhCxJSRRCr/3jjccee+hiQZceZxjGbIrp6e55 4t8enXnPjBd/8z+35A1gjVrNKRR2e6/BYLDZ7ZbkpBRLcntHx8QJuf39DrVKpVGrXS630RidkpL8 +pvrCwvyUywW+be5Odl//fMfOI6jKDqUiSMEy7LPPfuDScVFAEBfZg794pNPPProQwBAISRhDJ8u P+j1erX6Ft8hyY9KW9vavD4vRVG9vb3nztUpOEVHZ6fD4Whv75DDMihEFeTnWa3Wqqqzw/ZPqF1v vfXO0H6Qt/sMecA8L7jc7sTEhFsl/1C9EkXRZIp58b9+bo41AwBDM6dPV0SOEcuwsWZTS2trZkZ6 Q0OjJTlp2Hk8Un55XMrKTm/e8jFCKD09rbW1LcYY3dTckpSYwHGsz+srnlQ4Z87Md9/98ONPduTl TQwr0+8PWJITf/iD7+3Zu++99z6aMX3a0OvosGMhYRzWxmHDa26SsPHVaXVKhaKru8dojO65cCE5 KemqJVy57XLQTE/PhVOl5aIoer2+xsZmlmV/9MPvG43GHTt3u9xuSZIivYrbYAtarfbJJx9vamrZ f+CQMTr6Gq+KixbO/8ULz8t/y8GIGMDr9WGM5TuQm4em6bX3rzbo9bv37I8xRmt11/SqXaTeXtlG GhsbDQb9wIBTq9V4Pb6UW7T5x1VtgWVZfyBgtdrqGxqVSiUAJCbE9/Rc8Pl8bo+HZRgAiI+P++Y3 vrp7z75du/etXbM6LE7xerk2+5KSkxK7unvMZrPVZpPdRHmsrVbbcz/+aai0hIT4pKSE/fsPdnR0 funpJ1mGCZvbe3v75FptVltSUuLlki4RiL81yBXzb10HNEVTiIqPj1tz36rtO3ZpNOrFixasf+c9 jHFiQkJCfHxHZydNUTk5WTnZ2XZ7LwAwDKNQKu6ZMX3T5o8pRMGQpGVDj2s1moUL57/z7gcerxcB hAJab5KkpKTcnOw//t9fdTrdPTOmWZKTFi9asHnrJ7/575ckSZo6ZXJSUmLd+XqaoubMnrVt287F i+a3ffrknmEYluNC1kVT9IaNm2tqalNTU7789JMURb3y6j/kxfy1a1ZPnz5VPicUAEFT9ObNH9fW nQeAaVMnr1q1guf53/73SwaDflJRYVJS4s23DgB4nv/1b3/HcdyyJYuOHSt55htfLS4uAoDKqrOf bNu5YtmS6uqan73wK4TQ59beBwAcx+oNuilTJm/Zum3Y/mEYhmEYjmUVCoXcls7Orhd++WuEkEaj eeYbX5X7oa6uPjk5ceniRbekFWF6pVIqg8Hg7176I8dxNEX9+78/jSgUOUZarWbx4oXvf7AhEAho NZrVq1eEdGZoFH+k/BSiOJZVKDiaomiaXr1yxZaPP/lk23aaphcvWqjVagcGuvbuO9Dc3BLkhfn3 zpHLkWWQ/xYlsbTsdH19w4DTVViYH1av3++PHItYs0mpVIbaqNfrCvLzhpZ5S4gY38T8/ImvvPKa IApms/mBtWsi2xKG3++/Qtv7+x3VZ2t+9vxzaWmpPM/v3Xfg8JGjCBDLsuPGZcz1zTp85GiUwZCY mHD7bYHjWI7lpk2d0tfXt2fv/qSkRFnmkI2sXbM6PT2ts7PrJ8+/wNC0rFflpyue/+kvACBk1399 +RWLJTkzM2NSUeEtEYxhGIZmxo3LtNt7Dx46MvOe6bKeUBT1l5dfMZvNoT4JkzNSb69gI0lJiRPG j//Ly6/09zuys8YtXbL4lgh/ZX0AgMTEhMSEuF/9+r8FUVy44F6aphctWrB5y8enKyqTkhJXLFvC cRzDMEqlcvHC+Zs2bz1x8tS8ubNvZnoXRbGk5OSV7Uur1axcsWz7jl2fbNuRk521YvlSRCGGpjmW 5Vh2aOJMlmUnFRX+4Y9/njhxgqyKYXN7enpaZ2fX8z/7pV6vW7DgXq2WZKYYnivmlx9LCILAC4JK qfQ6rQP2Vjm/vCTx1aW7ObVp4uRhrpqHtv8jO3+2KTZhaF9ZbTaapmOMRkmSbHa7UqFgGKaltU0Q hMTEhBij0e8P2HvtluTkvv5+q9U2PjentbXNbDZzCq6jvUOn1+m0usampsjjMUZjIBBoa2t3ezwq pcpiSdJc+poMAGAsdTWfaW1pmLv86UiBq8v3AEBu/j1hOXkHBgbaOzppmk5LTVGpVBjj7p4eq9Wm VCgslmR5kd/ea09KTGxpaU1JsfQ7HDRNh+Qc2nY5iFKlVk0Yn9vc0trXO/gSVlp6qvySUah/hp4P AOZYU3JScm1dnc/nU6tUFkvysEYb9Dn2bXtjwX3fVGvD3830uPsPbXtt8f1fB3zxLXRJwrV1dT6v DwAslmSv12uxWOSluEAw2N7WnpJi6em50Nffr9VqU1MsNM00NTdnZqQHAsG29vbkpCS1WhXWP/K4 qNUquS06re7s2Wr5wslybH7eRJvd3t7WwTC0OdacEB8fuaR083ql4Liu7h65XYhCuTk5ABA+nN+q AAAgAElEQVQ5RjFGYzAYbG1t83i9RmO0JTlZFiYY5ENjFwzykfLLv5XHPcViEQSho6PT4RjQ6bQW SzLHcaIodnf39Pb2qdUqi8WiVCoAIHQ+AGCM7b293d09LMumWJJlXQ3VK4pie3tH2FhodVqWZYfY jtJg0A8t85boQ+T4ulzujo4OnhdiY81xcbFyF4XqxRjb7b0hx4jjWJ1Od4W2BwKB9o7OzIz0T8vx 9vU7eJ6Pi41Vq1U8z1utNmOMUaVU3n5bkNuOEHK53G6322DQ23t7B+vy+gAgLT01pM8hvTp3bnBT 2ot23dfHsmxSUqIsfBii4Du6+50JU1bER7yfKIr8ro/+d+7ypxTcJUsgIZvy+/19ff16g769vWN8 bk5oDrnYJxFyQoTeXs5G1GqVy+VqaW17/Y23c3OyH1r3oC5iIe0GbPOqtiDL09NzQaFQpKWmKJVK SZI6O7t6+/pijMaEhHhJwrJdYIwdDoffH0hIiL+0ZuzsbT9+6ONln/8+TYevkvR01J+vOjJ78SOh PVEwxq1t7Zbk5Cvbl0qlamtr83i9CQnxppgY+dqUYrGE7DQ0LjzPt7a1G6OjjcZoAAib2+WxAACd XpdiSVYoLnmDkuSXD+WXJ/7WIE3NbZ/Gb/mG+lvnKw/5AqIlvSDsqilhqbbiQN6UxdEx5tHTVxhL PW3VjeercwrnUZfmg8AYtzVWRJuSMnKKRrOOXpmgz3H8wKbMibNVqkteOcYAHld/y/nSeSueGv35 lu44vRq13AZ9sNt7X/jli/JrbvBpDNOwOT5uM6PWFkTBV3pkS3RsptFsCbvV4PlAbcWBWYsfY9kR S8CFMa44U/XOu+/PmDb1c59bE/btaLVN7OzrOHV0Z97UZWGpNDDgPluH22GfMue+0bkHHfG3rm0/ n7HEsPFbCFEJqRNbG2rOVx8NMzCEUGxihlZvHGV7cKIoU1LMgKuh+hiOEFirj4lLyhxlAl8fFKPI nDCjq6VGEMJnFpZVZufNROgO2IX+DtSrUcpt0AeTKeZ3//3i0EJGg7MFo9gWEGIycqe3NZ2z97SG JVCkKDotu5jllIBH7KYIIVRUmJ83ccKwIemj1TaRUh2Vll3cXHsqIvUDUqo06TmTcUSuH8JoY1RM HKOBYeO3EKINxsSiGSmX+RHGkjSqcrUjhFTamImT5l1uOy2MpdF8Q3BVGFZlSc9LySgY9luMMZaG 2chotHHH6dWo5fbow+iM/x21tkDRbGxiZlxS+MPET8FYEkf2bgIhNGwuNxjFtskpdeMmTM+aMGPY b+/0iX2MQPytQS6bfwtLo3OR9rJgLImj/YHazYAl4W5Y+rnj9Gq0cpfoww0xatuOJRHDHXv5H622 iUV+dA434Roh+eUHaWvv2rnrQL/DJX/E5HEOgUAgEAiEWwTxtwYJxW8higGE7u4lIgKBQCAQPmuw JGJJpCLeqRybkF4YJBS/xSMVRdFOW7M2OpGiGLjpPL8EAoFAIIwtMGAsel22YNCri0kjT4yA+Fsh QvFbDKs0mFKcvW0Dva1YvAOCrwkEAoFAGHUgxCo1BlOGQm0gLwAB8bdChPZPjI7SKTVGThUFgACR 560EAoFAIFw3CAAQRVEUxhLJJgjE3wpxMf8WQoCBokYsHR+BQCAQCHcFEpZIYrBBiL81SCh+C0dk ZMYYC4IIgGmavva96wkEAoFAIBBkiL81yGXzbwGcra7ZvPnjngvWmfdMv2/1Co1GMzDgjIoyhJ1m t/fGxBgjN8sjEAgEAoEwxiGrNYOE5d8ayvbtuzQazde/+mWz2dTV3XP4yLHv/eBH9Q2NVqvtdMWZ c7V1bre7sbHphz/6SUnJSbu912qzYYwbGpsCgUBzc0t5eUVzSysmT68JBAKBQBirkPWtQS6N37rE Nxo/IbfyTFV5RUV+3sTEhITtO3ZVVp09U1llNpkOHDjk9/unT58qiGJpWXlubvb5+gaGYRYvWvDr 3/zPV770xdf++YZWo5k5c0ZqioUsfREIBAKBMDYh/tYgQ+O3BN7v6u/wu+wSljT6uIXz5yUlJFRU Vm3atHXZ0sWPPPT5svLT961a2drWao41nzhx6vjxE7/4xU+3bv3kC//22M5de0RRFAQhGOSVSmVq qgUhalx6YnfTCSAZSAgEAoFAuH4QIJpVaKMS1Lq4kZblBiH+1iCh+C1RDA7Ym4Wg32DOpFklw6nL yisFITB1cnFTY3N3d09GRrpSofB6PXv3Hujv7y/Iz7PabICxXq93ulw6na6xsenI0WM+n8+Skrxq 5fKSE6d27D78ja8+NTp3vSUQCAQCYdSD+aDH2deOEHWHbrhH/K1BQvm3VKzA+z0mSyHLqTCWAHCK JfH9DzbUnT8/YcL4adOn6nTa+ffOKyuvmD596ptvvWOz24sKCyRJWr16xenTZ+bOmdXc3Nzb25eT nVVXd379O+8rFYo1a1Zr9NHkeSKBQCAQCDcGp9QiAGdvO6tQj7QsNwLxtwYJxW9JwV6MMcupsSTI TwDj4+O+8fWvSJKEEKJpGiH00LoHMMYUReXnTZQwphBiGGbxwgWiKDIM861nvg4AkiQxDDO5eBIA MAyDAEjCNwKBQCAQbgyEEKfUBXwOllONtCw3AvG3BgnFb3kCEgAghIauWNI0TdMXM6CGsnAxzMUO RAjJH+Uz5f/JM0QCgUAgEG4JCFF37sv+JB/EIIIgeL2eyGSnBAKBQCAQCDcJ8bcGuUL+LQKBQCAQ CISbgTxPHORi/q2g/+JRjCWJv/zG5oiiOXQb9rTGkiTyGC63CxWiaMVnEow/UvUOK4vIS1i43LcU xSLqFigzxiIW+cu9/IIQRdGKm6/lsrXfljbeDCPbP5dllNjpZ8mo0I27qZ/vprZ8ZoxSe79jIf7W IEPity7qFsbiQG9n0/kKj6s//AcIRcck5BQt4FjFZ51YSxJ5a1djS0NlMOANl4Ki4pIyx02c/Vl4 PSNV7zBgyeOyN9ef6bd3RX6p0UXnFMzTGkyAb3ZjVJH3d7ac62g9JwrhT5Zphk3JLLBkFsNl5+ib 43a18WYYyf65PKPETj9DRodu3E39fDe15bNjdNr7nQvxtwYZdv9EDPhCVzNQygmTl4fd60hYqqs8 5HE5uRjzUJP0eLwejwcAOI7VanUMQwOAz+fjeUGn0yKEJEnyer0+v59lWL1eR1EUz/Mul1uSJLVG rVIqI1eMMEitjVXGuExjrAXBJd8KIl9dtjst+x6Ou2QoHY6BYDAIABqNWqPRhMkQDPI8H9RoNFfe 8/F66/X6fCzDsCwbCAR4npfrdblcOp1OkqS+/v6oqCiWYQDAZrNjjBGFNGq1Wq0OBnmfzyfLNuze lBjANWDv7+sdP3kZhehLvsK4vbnS2tOhizJfOYxywOnUajRD33uIRBL5xrrTmRNna3TGsE7x+Vwt daWWzCkAl8wvgWDQ7XIDgE6n5Tgu1LeSJLndHpVK5fF4DAY9zwsOhwMAaJrW63WRL1Jcbxsxxi6X W6/XSZLU19cXbTTSFOV0OjUaDUVRbrebpmm1Wg0AHo+XYWiPxxsdHSWPNcbY5XJRFO31DnrSsp7Y bHYMmGUYnU439F2Qm+kfjLHT6eJ5XqvVKJXKUP9gjOWxDukqAERFGTiOEwRBtgi5ozweL8syHMcF eT4YCKjV6rBt42/ATkVRdLvdclJijVbjHHCGZAAAhJDBoJd1OCQnALhc7kAgoFQqNRo1AMjHMcZO p1OpVCkUnKxjfX19AMBynEGvRwiF5gS4vD06HA6EkEKp0Gm1w80A163/kWVG9jPGOExPPB4PopBa rdaoh3nf/pbMh5G2L9uFfE5UVBQAuNxuv9/P0IxOp43Uw6FlyufzPO92u/V6PU3TQ/XKYNBffnIb RW0Z2ufynCxJ0lD9pBAKsyMAkCRpYGBAo9FwHAefzvkIIaVSodFoEEJ2ey8AvoIefhb2DsPpNgDQ NKXT6WRRw/pkyDm0TqfjeT4kp4zZbLo7sikRf2uQUP4txaVLyHzQrzWY4i05kT+pP3tUFMNX+Ld+ vO31N96Oi4s1mWLuX7Nq9qyZPM9/8NHGqqrqZ77x1ZQUS29v32v/fL2hoSkjPW3lymUF+XknTpza sGmL3++/Z8b05csWm0ymyLoCfo8xNiU+OSvsuCgKZ0q2Ra73/v4Pfzx3rk6lUi1ZvPDxxx4Ok+Hs 2epde/Z+77vfeuGXL/7kx8+azcPUeAP17t9/UBTE5cuX7N6778iR48/+5/ecLufrr7/9nW9/s7m5 5W9/f+2+1SsXL1ogiuK3v/sDjLFKpcrNzXnqycfb2zr+9OeXf/iD/zDGRP/mt79/8VcvcBHuiCQK DMslWHIjhey1tvF84HJNkAkGg6+99vr8+XOLCguubLrBoC/Bkq3WRocd97od507vC7vflSRp0+at Bw4cVnDcggXzFi2cX1t7fteevd/99jNl5eWnKyoXLZz//gcb1ty3UuCFH/zwx8nJSXq9bsH8efet Xhnp+V1XG/v6+v/2yqvPfPNrTqfrZy/819e/9u8TJ+T+459vzJs3Jy019eVXXqMp9JUvPx0VZdj6 8bZgMNjd0/PA2jWZmRkIobrz9Vu2fmKKifngw43y6C9ZvPChdQ98+7s/QAglJiYsX7Zk1sx7FAru JvsHAOobGte/877Vaps3Z9bKlcvOn2/YtWfvs//5Pbu999e//d2Lv3ohpKsA8OWnn5w9e2ZFReW7 738oCOKyJYsWLJi39eNtLMsuW7ro6LGStrb2lSuXJ8SHJ5i+XjttbGr+1+tv9fX1TZwwftWqFXv3 7j90+KjP57PabKkpKWazaeWKZSdPlQ6V09HveHv9e+fr6wsL8tfefx9FUb/+7e9++cLzra3tBw4e mjSpqLAg77XXXs/Lm/DSH/4vLi42NdWyetWKosICeU4I9fOw9viDH/44IyMtJzv7/vtXZ2akR6ro 9ep/ZJlh/TxnzqwBp/OvL786VE9ef+Pt9PTUSZOKVq9aHh83TBbvm5wPp0+bGmn7P/jhj5OSEgFg fG7OD77/nf7+/o2btlacqTQY9CuWL50+bap8kQ4r02w2yefTNL13/4EtWz758peemlRUGBqvP/35 5TX3rSzIz4sUdbS1JdTnMUajPCf3OxxD9TM9LTXMjrRabVd39+9f+lNBft7DDz2oVCrl8dVqtSmW 5EceWRdjNH7hi1+JNZsvp4efkb0Pq9vJyUk6nXbe3NmfW7umr69v/bsf1NSc0+l0K5YvnT3rnrNn az6dG/Xz752jVqvXv/M+xripqTkjI12h4J794ffHZWZcbhzvIIi/Ncjw8VuDXIdnHeSDD6174MEH 7t+waevBg0dmz5pps9nOnas1GPSnK84kJSV29/Q0NDR+4+v/boyO7ujsxBgOHTlmSU5e9/nPXbBa 3W7PsP7W9QkBEAzy3/+Pb08qLqIQAoAwGTDGDscABnA4Bq76bu211xtjNJ4qK+vuuVBRUdnR0dnY 1NTZ1R0dHcUw9OEjR3Nzc44dK5l5z3SFUskwzK9++TNBEH77P3/o7urBGFdWnT1x8tS98+bYbPbr aagsIoo0e6vNVlZ2GgAKCwsS4uOamltEUdTrdHv3HbDZ7FlZmQX5eWFz3yD4so2O7CpRFA8eOjJ3 7qwF985tbGr2+fwY47a29u07dtlstuVLF6elpXo8Hj7IA8CUKcU//9n/O3Lk2IYNm1etXH7llbar tpFlGZphztXWWa02t8dbWlqmVql4XogyGNra2jwejyAITc3NRYUFQT4oSVJBfv7+A4dS01IRwN69 +3Nzcvr6+x5a98Cjjz4EABRCEsbyuGCM333/w7TUlIyM9Jvvn02btxYW5M+/d25nZ5coSrLuAQDG WB7rkK4CAE1RLpd7x67da+5blZ83sb29HSEU5IPtHR0ffLhRziocazZfro+uvTurqqoFQfz+974j CoJzwPnUk0888cRjZWWnN23e+osXngeAysqzYXLu3LUnJsb4wmM/cTqdkiQihNrbO44ePX6utm7O 7FkTJ05obGoSRTE6OspsNv3fH3/X3tH54Ycbx2VmynNCqJ9hOHucMqX4Z88/V1l5duvWbc9886vD LjZcluH0P7LMsH7GGLe2tIbpyUPrHvjc2jUHDh7avXvfvz3+yM33c9h8OG3a1EjbnzKlWO5zAGAY ZueuPSmpKY88/Pl+h+OjjzYlJyenp6VGlin3J8Mwbrf72LGSjIz0o0ePT5wwPjReIbu7ct+NhraE +vyhhx6U5+Qw/Yy0I1EUT58+ExtrrjpbvXjRgsTExGCQ/95/fDszI/1vr7x29mzN3DmzTDExV9DD z8Le4TK6/fOf/vjQ4aNbtn5y/5rVO3buNhqjf/nCT7t7ejZt3pqenhY65/CRYxs3bvnDS79dsOBe q9X23I9/+tc//4HlOIa+SxyVu6QZN8+w8Vs3xpatn9Scq5Ukad7c2aIkHTl6PCUlpbAgr6TkpN3e m5SYWFw8acPGLWmpKUuXLEII5s+fe/Dg4X+98dbUKZNzc4a52boBJFF85dV/mM3maVMnr1mzOkyG W1JFJNnZ4/buO9BQ32i12gry887X1VfXnFt7/31NzS1er2/JkoW7du8tK6uYOXOGx+v9/R/+JEmS MTrKaIy+cME6ccL4ru7u+obGW5Vbpb2t429//8eC+fPq6xu/8MRjdXX1MTExRqPx/PkGl8v13nsf RkVF3fw9E0VRq1YsLysvb2trnz9vrl6vB4CWltZdu/esWrXCYkke+uSrtLT8pz/7ZcAfyM/Puz5n azhUKlVBfl5JySm/379w/rza2jqjMdpojNbpdAcOHi4uLqIQOnmyNDsrS5azeFJhyYmTbW3tkiT1 9TsefHDtzp17Nm3ZWlt3HgCmTZ28atUKAOA4zmSKcTldA07nTUoIAJIkNTQ0PrTuwagoQ+gx8alT Zc8+97zH43EMDMAQXQWAtWtWZ2Smt7a2FxUW6HTa0E8qKir1ev1XvvzFWLP5ljxZKCjIa2trf+PN twvy8xYuuJemKZqmOJZFCP3/9s4suI0jPcDdPTMYnMQNECCEgxTF+5YUibpPW77kM9n1ro/Y3kry lkrlqH3ZrSSV4yGVl7xtUrsbe71Vca3t9SHJOmhJpkRSFE+dJMVDpEiKICCAh0Bc09N5GImCAFBl CwQJUf09sQBw+v//+f+ef7r/7pbGVhPbkBocHBp+9uB+k8kojRBMT/uCweDXR7+pqqzYsGE9wyDJ x6R0UMbzHrf71vhEPB4HAHz51ZFFO6eNRwihQqFwuZy//u1HyxUCSddMsnN1dWVXd2+ynzBIo9HY bbbOrp5lkQE83B8CAFJjv6Oj6xe//GcAgMvl/Nn7794YHC4pKdFoNEqlKhicmZmZAcCVes2+/gGX y/nBe+92dHQbDYb9+/d+feTYjRtDjxitz01d0to8yT9T42hqyjs0PLJje2Nf/8CFCxcPH35BxPhX //1rg0FPRFJ0P3N6hB9mI95Tn3fgfr93Jxjc2FDPMMzg0Mhzhw6aTEa9XvfJJ59KM4kdHV2//Md/ mZ+fr66uZFkWISSFISeTpc51PLnQfOseaeu3Ho+amuoXnn9WpVS5XOv8Pv/xk013/HfOnPnO5/dX Vlbu2rntlZdf8nq9HR1dH370+7/727+uKCuzWa3DIzfPnP0OQnhg/97MZYAQ7t61s7ys1Gwxpcqg 0+Vl3kQqer3earV8c/yE0Wioqa46cbIJImi3206e+vZU0+mu7p5gcCYQCNbUVsk4bt/e3WNj44SI Or3O653Oz7fW1lQ3N58PLSTX5j82bpfzp2/+2T/8/BdTU1MTk5PlpSVKpWJ2bvbS5Sttbe0/+tEb mTfBMMzmzQ3riwpvDA5+8ofPpK7Q4/H85V+8f/r02UK3u6TkwVSs2+3809df5eW8y+lMqkB6DDiO K/R4jn1zgmXZXbu2X712vbWt/eCBfdM+3x+//JpjWZGQaCS6c+d2QACAQK/X1dVWnzr1LcMwtTVV RoMBQFBTU/3Cc88CAMyWB0+peDzO8zyDMs0IJZRKZSwWE0UxFovxvBwA4HY733jtleDMzP9++DFI 8FUAgNvjIiLhOC4WjxFCwuGIUqkAADQ01G1r3HLufIvNlp9vtWQulaOg4PXXX5mcvN3cfP7Tz774 4P13k34AERQEIRqNzc7OMgwLAVDI5eFIRBRFjLGULptMpg/ee6elrb2js7usrETyMWnCDhASjUbV ahVCEICH7LxUPBJCIpGopO9ykXjNh+zsdo3cHE3rJwAQLOJl6QklEvtDAEBq7Ev+AABQKBUsy6pV qngsJoqiIMQVCkXaNxPJngqlIhqNnPmuuaOj68LFTu+U16A3PHfo4HJJvjK6AABSbZ7kn++8/ZPE OOJksv6BgaPHTrS2XgiHI1pt3vbtjRDC3bt2yOX89b4BaU4TgEf54WJbyxjvaX3b7Xa+9urLl65c nZycxBirVapQaEEUxUgkyvM8wzAiFt1u54vPHzp67HhNdVXmYuQsNN+6x1L1W4+Bx+OSjvEhhBw5 enz3zh27d+3gef7y5Sud3T0Oh73ver/FYo5GY6HQAoSwp/fSwsICyzCRSFQUl2eFEUSovKy0oaGO EPLpZ18kyVBfVyv9TJrI0+t065yOpadpvnejEDY01H3x1ZGfffDnxcVFH/7u93v27Jqdm/P5/P/2 r//kKLAHAoHjJ5ouX77KcdymjQ3btzX+4dPPW1ra1GoVQmj7tsamb89iYclF7z8UuVyu1mii0ejt Ke/szGxpacn8/N2Ozq7Nmzf6fH5BEAghGQ6WYIwvXuyU8zzGYjQSFUUCANBo1BXlZbFYrOn0GW1C ams2mxsa6jLVKgGr1aJSqSCCDoejqNDT0dVdWOg5cbLpnbfebNy6BQDQ2nbhfEsbgpCTcTKZrKqq svncrxBCe/fskmas2PsPAIxFcN8fMMb2ApvFkqk/AAAQQo1bt7S0tPl8/tnZ2c2bNoL7dpie9knG hwmpJ8ZYqVBUVZY3NZ1xOAoWQgvbt28FAJhMxrramkAgePzEyZcPv6jNy/SFYWh4eHh4RCrOlV79 k9BqtRDCI0eOjYyOFq8vQght3Fjf33+DZdlwOLKhuEilUnEct2FDsVKl+vrro4FAYCY4U1paAgAI h8NdXT1en29jQ71Uir5oZyEutLd3psZj4E7g4sXOm2Nj2xq3Zj72KREIPHTNRDtHotEzZ5tT/eT2 lLeltW107NaWLZuWRQaQ0B8CAGLxeGrsJ+orimTr1s3jE5Pt7R2zc3MulzNtGZnH45I6t7YL7SaT 8T//4991Ou3o2Ni3p7+bmHywhPPa9T4AgMFoSJrFyyldxsbGU22e5J9JcVRSsqG759LP//5vKirK w+HwyabT51paAYAV5WUVFeUMc+xs87mG+rqFpf0wS/F+vqU11belTE7EOLwQhhBu3bK599IVCOH0 tM9sNlktlvHxCbPZ3Ni4RW/QnznbbLFaCj3uzIXJQZi3f/ySp7gaxyOz/lGjrWTuzqgyz8pyT92m GnFBIADZ7A4ghqMLM3lGJyGYENE3OczIVBZbmomn0cFuo9WpVGkSPwwvhI0Gg8NRAADAGI/dGq+v r3U516nVKrvd5vcHystLBUH4rvk8y7GvvXrYbDLptHlXrl7ruXSlpqZqx45tqW+WRBRuDV+x2Deo 84zJXxFx6Fqbu7iOfbiPnp+/6yl063W6tDI41znkCnlZyYapqame3svXrvfZbLYHr0QZtKvT6hBC u3fvsJjNCMFNmxp4mQxA2Lh1i0ajNhqNCCEAgVanq62p0mg0BQX28fEJuy2f52XVVZUmo1GpVG5s aJDexhIbnJ/xzs4EXMX1qTfCd3sEAGCyrkssKBCwACEsLdkQCi243S6FQlFbU81xMplM1tnZrdNp N2/eaDIZk/ItLERGbvR6SjdzsuS7EI9Fbt7oKirbBBI2JIMQKpXK1rb24ZGb+/fvqayqgBBACMvL y4wGAxFJLBpTqVSeQrdao4IQlpWlqXd+bB1lMl6hkBcVFpaWFOv1er1OX1Nd5Z2e3rdnt8lkVKvV ZrNpfHzC6VxntVgcjgKVUokx9njcNdVVLMuGF8LdPb3X+/qvXe9jGba0pHhqaqr30pVINLpv7551 joLUZPSH2gchZC+wDQwM9vZeXr++qNDjJoBIdojHhVAoVF9XNzs729PTe62vX/JDt9tlL7B3dfcM DQ3X1FTZbPmRcMRoMLhczvx86/z8XYVcLq38emC4Hx6nGo3m1q3xC+0dVqvlxecPaTQacN9npHuk UauVCsXFzi61Wv3Ga6/o9Tq73e7z+dsvdhgM+qrKcghRKBSqr6/T67RyOT9yc7Sw0F1bWy0IeHBo qK9vgOf5Zw7u1+t1iXaGECqVqtR4HBgcHBoeybdaDj17gOdTu9/H8f9Ll68mXjMYnFm0s9FgQAil +snlK1cnJ28Xry/auWNbatqXYX8IAJDGLKurKxNjv69/QDJOMBhsaKgvsNu83uk/fvFV87mWtKsH Fq9JCJm67XU4HJUVZWq1Ot9qnZ+/m6fRcBzXUP/Ar1iGLStNrtPIHV26e3oXbY4Qkq5pNBgT/VOr zUuMI7PJFAgEDx7Yp9XmabV5BoM+GJixWExFRYVmk9HhKJj2TiuVymnvdF9/ej/MUrzfGp+ora1O 9e3+/gGO41599bDVYrHbbfN377a2XRAxfuaZAw5HgRR35eVlBr1eoZD7/f516xyCgKX+IelZIGJh LjDGyzWIkSnUhlw+lZgQMTQziVheqTEFfWNz8yF48sv/2XvoJ9GFmdG+s8V1L40PnDUVVPNKTS6r kSUgYgBAoZmJWf9oQfE2EcdEMX6t6xTitBX1+8DDvkhEseXU70qqthsttmzbCgvh1qZP1lftsTlL kkoXhXj09Fe/2vHs27xs+Se5V6vdVAgRJ29eujk0sO3g2zBpJo6Q6z2nEcOWVP4JER+oHwcAAAR1 SURBVDPdCSYWnjnzzcfbnnkvNcW8O3en9dTH+w//FSBZOfRpxXTMhFW0zyPIkTjNHjniGytpZ7// zm9++9Hs3Nzbb7352edfSGsXwP26qB+2niAda0mX7JGD8S7EwuM3zml0dkam0luLVrc/fDSiGPeO dLC8xmQvHb527taEN3fv9AqTtn4LAmgwOwb7ek98diUp7iAEcrlaocpKIVQK0OpYf73n9OWL36SI AbV6C8fxYMld4J/EdtOg0ugBEE9+/l9J1cQQApblqzYdWJZWIGLyHevbT/9fPB5L+gohZM53QwSz t73fyuiYCatrnyWlypU4zSK54BsraWeDQf/WT3/sv3Mn32o5uH/fotZSXVTm119LumSP3Iz3Jxc6 vnWP4ZGx+/Vb4cXxLQAAAQBjkroXCwCAYViO5cjSh2wsH4QAJMQFMd3+0SzLsSyXnZO2V6vddKIA IIpASNnmGACAIOJkPAA4c6clgBCC4vF4un2lIcfJGAYRMVt3fGV0zITVtc8jBcuFOM0iOeIba8nO a0mXLJGD8U7Ht9YCS+2/BQFgGcgy6WfNViogIQSE4xgA0hfSZi3pWa1204kCAIMAs9T05TLdCAgg hISXLRUXIlmmBQ1LtL4SOmbC6trnEeRGnGaRHPGNtWTntaRLlsjZeH9CofnWPZZx/y0KhUKhUChZ 4Al+QNN86wFExABgACGAgKzqqcAUCoVCoVCSEEWcdN7lE8STKnf2YFgZhEwkFKApF4VCoVAoOYKI hYW5ablSB5bjkImVh45vJSPj1XKVNugd4GTKJzePplAoFAplLYFxTIhHDfmloZmJ1ZblcUjOtyAA T/T8aOZAxOQZnDJeE4stPN2WoFAoFAolV+DkeXK1QcZr1kq+BRlRxE95noEYTplnVUH4hA5aUigU CoWyBiGEiHHpmIrVFuUHk5RvEV6pjdz1y3gFw8qSthR/yiCEkKc876RQKBQKJZcgsUgIxyMKtSXX H9CEJCVR9/MtCBBEsfCsWl8QnB4MTA0wDPt051sUCoVCoVByCEJEIR5mOaVCbczlERFCMBaiACLE PBjVuvcXw3AKjdE/cVVndmu01mhknhBEq8UpFAqFQqHkCBAilcogV+qwsEDwSh/V+v0Ribgw5xOE qFZtWvzwXr6FGNaQvyEw1T85fBELcQgRRCytXqJQKBQKhZJLECJiIuJcXtsHESNT5OlMHoXaAO7v LbU40gV5RZ7VWStigTxlJydSKBQKhUKhLBsQQIgYRgYhIon5lhALCdG7qyoahUKhUCgUyhqBACDG wwAAQrCUcrG3bw18e/RDHA+vtmxZBGMMIUIou9OjhBBBEFiWBQTEBYHj2MUFq6IoCoLAspwkg/RL hmEghBhjhBBCD0rlYrGYTCZLEF4kRGQYhhAiiqL0X1lS4RFtYYwxxouCEULicYHjWACApHWiVItf AQAIARgLEEKGYTDGAACGSX/6deY8uq14PE4ISVQh9X6l1UsURYwxwzCJt4lCoVAolO9DJBLOMzr/ H0TyDRO5smJVAAAAAElFTkSuQmCC " id="image7309" x="159.41721" y="812.08984" /> <flowRoot transform="translate(-332.84714,572.62323)" style="font-style:normal;font-weight:normal;font-size:40px;line-height:125%;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#000000;fill-opacity:1;stroke:none;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1" id="flowRoot4230-65" xml:space="preserve"><flowRegion id="flowRegion4232-0"><rect y="205.21935" x="521.42859" height="34.285721" width="375.49951" id="rect4234-1" /></flowRegion><flowPara style="font-size:22.5px" id="flowPara4236-2">multi-area dashboard and xterm</flowPara></flowRoot> </g> <image y="147.08878" x="484.35513" id="image12827" xlink:href="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAA+YAAAPTCAIAAACytYRuAAAAA3NCSVQICAjb4U/gAAAgAElEQVR4 nOzdeVxU5foA8OfMysywyDaAQiwiCoOiKRhkgktWgtdS1OxaLi1q2e3+sNQyc8lKu0mLlm1uXVsk tExM06sskSQuobLIIouo6Aw7zAyznt8fZ2YYZgOGgRnz+X781MzLO+95z5lzZp7zznPeQwQNTYAB FykYVlhUPvDLRaiHJOKG9hWX7d0LhMxy3jGKy/O0dy8QQgj1r45FOzPnM1ksFs3ePUEIIYQQQgiZ plKrVWo1w97dQMhBNb2msHcXEDIrYIe9e4AQQmhAqJRKNZ2Oo+wIIYQQQgg5KLVarVarMWRHCCGE EELIQalUKpVKhSE7QgghhBBCDgpH2RFCCCGEEHJoGLIjhBBCCCHk0EiSJEkSQ3aEEEIIIYQclFql Vt8tkzzSgVQDQQLw6Kq33xCt+8BLLGUQNCDV9u4ZuiexWEwSAFQqgk5vIqXS01nSkiuMskoAUIaF cEeMdJqS4E5wSJUK6HQCQC7H+SKRnS1fOp/DdUr9cI+9O4IQQqh3qFF2xw3ZeSSICQCADu7wDs8H SS82SdKTHjj8xEKSxVPsTJUWC13s3Ud0jyJJklAoSBar9s/TivWbWCeyvQBagQkAXqBoB2h6OL59 01v+D0wm5HKSybR3fxGCqKhwe3cBIYSQNdRqtVrtqIkxDJJ4S8EUqJ2Ubo/zwp5JfNCJGf1E6+TZ sdNd1W20xJmB6XvkUfe1AABB2Luv6N5DqtUki1V9+DvahETnE2eVzy5sKMjh3qnl3qltKMiRP7eQ d/IsbUJi9eHvSBaLVOOPQQghhBCyEkkCOOwou4+KHk+op7o1Xg88zA/eup22uL55DsGQ0zpukYRc 2qzgDB26eePN2UvVMoWDnnUgO4p9YIyn56CMo5kG5ZMnxUqlHXl//tXH9ml0+s1zv7OefJYY4tP+ zacB8Ym6gXRPvo/sq4dq/zmLu/BfrCefvZUTMCT6IVBh1I66yMw8LRSK5s2bZ1CekZHB43EnTZps l14hhNDdqLT4hIW/Do+YNmA9+T37h1VrtublGYYZsbFj3t+y+qH4J61r1qEvP31QTXgxxR7chtFu 5wbz6vxb2+a7poGCcbzuIbqqmEHQlKIOQZz30090AGmygUe+LD5R+vkjXUv2vB5pZX9mf36itLjL vxOrw0wt1PpFIBvy9ByUlDgpKXGSfmFS4qS5cx7z9BzU9/ab5K2yNW8y5dCx95OQ+ES6XE6q1aRa DWpSpVKyVRCa8I+OPR8z5SBb82azvNVUG8eWsVnsZccMSis+jmWzYz+u0CuIY7HZLDabxY77qAK6 LYfjy1jLjusvRa+140uNl2iiGup/QqHowIEfDhw4oF944MCB3bt3CYUie/UKIYTuUsMjppn8N8Dd WLVm6/tbVsfGjtEvpOL1VWu29qFhggTCEUN2FxXzSbkTnSZXMWlKNlPFYL0E21cyP6Sr5P+9+sLh khgm5JIkQTbJF88EJt3c+OXNmsCVX86yTZcOLqPe+23ZcHPv3GnDI6ZN21pmm6ZRP8g4mpn351/6 UTv1+NTpPOOhdyt0nDnDysoVPzv/vkn/UHZISCadoNGAIOSkgk5nZN3K2pT9ZtDkmeLnnmJn5UrP nDHTzNixlzd1DZSPfbDqQuezio/i2BElb8llMrlMJpd9A0ePWywHAIBHH1+852dtXF5RehkuHDha oXs2NnxY31cf9d28efMmTZqkH7UfOHDgwIEfkpJmGA+9I4QQuivk5f1lELXr4nXjofeeIwFIAEdM jBkq5XmQoCJVdLpKRQCdI/+P+rnVxVsIvkot58w9eSir6YEHwvLV8gi+O4wN6/izhGuyncyvDk16 flnkoc8LB3gFkAPY981PAKAfsp86nfdjuskx5l6TFl72VJONLy2hqZQ0Jy4AqNVqFali0Vl5N/MW /LpAKL4zZcQ/Ql95kfnl7ubCyxA3xWQ7o0bBgaMVr7wSqnl+/Oc9ixcv3nMZAAAqPn5m1ajD8s8f 1dYO/fcroRbKdU/Dx14urYDHQgEqjh4Y9f77l0vKAahnMO8b/arInl5++V8AcODAD9RTKl5fsmSJ TRpfvnS+yetNP/9sk/7TsvIqnEMGIYRsSBe1U8PqfY/XQRuyO+Iou7eSzVCz1AByJbO21v2dU//c UfY4NLSp6+S05ma5yOXrokXE9QZFUzmDJp8wXGq2obLPv6iZlWqcwRK57IQmv2XzbIDZn5/QDsbr ZbZELjvRJa/GhM5sGf2aYZrGTWXOoAG175ufdGPtNozXAYBeVtlKZzj7DaXRGcerjle1VNFoNCad mV+XP+/oPIVKsWvarmiv0XSvIWI6k15Waa6d8FffGrXqP9oh8oqPN11+/9XHtc8yDlxY/PijRq8x V64TmjQPqIH1iqMHIDxx+Kg9Px8HACgvuTBqOBWxV3wURyXVsJd2DtBrC+O0I//Hl2lzbzTpNMeW sWM/Pm5QzWQh6pGXX/6XdqzdlvE6AHh6uvekmlTSYaslIoTuNQYJwwb/7N07e6Ki9o9S3/xw29q+ x+s6jjjKLiUIqYpJkvSOdjafJo50qXO5LYr2yQWCW3wnvF1BtvuoSQbQRHdIGkOttPTNdHDZtkeK X3/96OL3OkfaH/kybXzm3GnvFQLM2nxiddi0E/nvTnsEDv0Gsx4KqoGgxLD3CssiE8dD1WnL/Ty4 bNpBqsHiJ1+P/O29QgAYsuh5mB0xrTBy2Yk0g+UiO2hoaKYeSKU2Dk1UoHJmOWfeypnxU9J4vwd+ evynyubKJw4/oVQrtyVsezriaRIAoNv5jB57fPHMn49/8eijABUZ1CB4ie6PY8NND4mbK9cIHT7q ws8VAKHlJTDv1dDHhi/eVFoBj1b8vGfx458DABxbJjgwr0h+JhTg+NK4jysefQUALqzaNK9IJg+t +ChO8PTHiXmvhMKjn8tlnwPAsWXsTR+/+tgroaarmSlEPcLn+1APeDyeDZvd/O5nBiXU+PqyF9+y 4VIQQveygc8Uv7uQJEnYaFpDkgQgHXKUvYolblSw5UonF4Way1bPHHbmr3nLzj719M+PLI6nnSSu XZ/q9j+CBTQxQYiaCmssn3X89sKbNxet0BsFjwwOgiGL0k6UFp8o3RwTGBwMZTdqAoMjAWZPG5L5 1VlImBwJYTMSIPNod9nqszaXFp8oLV4Z31l0c+9rnxcCQOHnX+QMCcZxdrvSja8b5LX3nSosZJBK ffv6pbGeUS9GLT9/5/zi44sXHluoUCs+nvzx0xFPK5RyQq1uqytzVSlVYSEWmnr01fcvb/qoAuD4 B6tGvfXvLrHuhRLTQ9bmynVtUunsx3/eM2p4KEBoOBw4WtGZyF5RehkurBKw2GwWe+aeCyXlAAAw 9v1v/h0KAKH/fmuxdgHHl7LZLDZ7pl7mhKlqpgtR93T56wZ57QghhO5eVP76/618598pm42vRrWa I46y17HF1WpWqNzdSdZOVxD1NwefLve5KvU+dX3c7Q7nZ6O/fkqQpbpF0EF9tYSWVeLcTXOHvtn7 /I4vZ23TK8p/I+LNg51PwzLh9RmRVcGBZz85dBqef2Z45ORJcDbF8gB55LITm+GNiGkHIez1Y68b /TksLLDna4xszzgfhgrZbXL5KSdylJhGI3fscv5yz0fxHypI1b7CfZ4cz+2Ttz854kmlWslQkSoG DT7d004jOJGjLLUVmjQPnj56HA5cfv+bz7uWj12lGYCHHpR3qRM+9nLp8fDLix//AgBCE+fBBxlH L+snsi8+LPtCrwH9lKGK0ssAjwNUfBQ3Ew7L5I9CxcdxTxstQ1ut+0Jkmi5e1+XDUHntePkpQgjd vQyuN9Xltff18lPHHGVX09S/sVskUj+JwgnqOR7SjvuglSNWPTrk3JbHPv0s+TNeo1LZSoCM+CPP S66kd9de2XuvHQrarB0LL6yqhpilXRLNy45kwaT/PBmUdboQyo5kDXlkhT9kne4mpSXMP7DmRikA RE6e1BmdD5mUGAaawvzfDvV63ZFNTJ4UaxCv6/LaJ0+K7Xv7TnFxsoQJzrt+qMr8hWAwPk34ZM6w 5Lcf3PTkiCcVSjlNqSLY7JrTv/B2fS9LmOAUF2exsdBX3hq1auYqmJcUali+eM9MvRkbKz76+LiF cv2XJs2DVTNXgSaBJnT4qD2rVukS2UOHj4I9mwyTzrUTy+hy5StKLlAZOBUZBy6Yr2a2EFmSkZFh EK/r8tozMjLs2zeEEELWMZ4fxngOGas54ig7AZA96M4JYUiy1L+DXul0Sx0bLIwdXwEeMvAAaAAl jWDT1VDPPFXt1qMWCz9P2Tf+4ELqyW8vzA0+kbajlHqas234st8Kj56FheOpTJjCo2eD0sZn7ugu K+bQN3uf33GweBbU5GfX6EpvVge/Xlo8BACy35x20PyrUb+SSjvSfjx2OjNPv3DfNz81NDTbJKnd neUq2bJZMXEaZ9G/rn1DC4xP2pu4DwBIACaDpQSozs5wWvwvBQvYWza7s1zlcoWl5h597f2xMNw4 AfzRL2RF4XECFpt6Ovb9ojMWyzuFJs4buwrmJWqafOzxxbAHdLH0Y58XvR8niGCvAgCAxYdlnwPA 2FElT7PZFwBg8WH5o1SvNkUI2Ktg7OLFY3UtG1UzW4gs4fG4S5Y8m5SUpF/48sv/4vN9eDzTU2Ah hBAyx0EueDU5oK6L2q2+lRKQQJIEETQ0oe9d7K1IwbDConLLdVwUrNdb/GY5N7I5tWoXqZLfAZ4d pKuM5SojWER1I3fjX0OyhO4EmLmZEkJ9IBE31NZcMPdXBp1G0OnVh79jzX6WoQLJs/NUKxa7DQ4j gGitKyd27OJ+fUBJB/nBXUEznyJVKuXf5O6nx5axN4UXGVxdarIQ9buAwLFcnmfP67/5xosNDU07 v/i+/7qEEELI5joW7fxvfDOb7eSIo+yUNqb8TffaQsmgf5K+YeomlkIK7U7gLOtgqA43DdpU5ymh AcbryC4IGo2Qy4NmPnUj11f81ib2rn3Ou/a1AhMAPEHRDiB+OJ656a2gByYTcjkwmfA3CdnRXcx4 DhmEEEJ3EccN2QkANV39nUvjLwr6eLnLCBWTI5G30clzasYFkk3QgE6QKtI2s+cg1CsEQZAsFqhU AQ9MbvottuNUVv3VK4yySgCoDwvhjhjpPiXBneCQKhXJYuE+ihBCCCGrOe7dTym64fN2puoUwClg ADBADQBATXOJ8Tqyl87cdJWaBwzexKmeE6d2qaEAOSioCgPduX702Oeyx3pWiBBCCCHbIElHvfsp QgghhBBCCBz5VkoIIYQQQgghcOR52RFCCCGEEEJAJcZgyI4QQgghhJDDIklQkySG7AghhBBCCDko Uk2SGLIjhBBCCCHksNRAqklgSMQNA7/sO7fZdlkuQj0kk7XauwsIWYK7KEII3Qto1Ci7mmRYuCs7 QgghxyS8XW7vLiCEEOp3ge9fU5Mk5rIjhBBCCCHkuKjLTx337qfob4kkye4rIYQQGkAEgXcTR8hx qanEmJ6/QKlUtra2NjY2NjY2KpVKqVQKABwtDw8PPp/fb71FdzddpI4hO0IIOSyM3RGyQCQSenvb IdYlSZIkoUche1tb282bN+/cucPlcj09PUeMGM5gMLhcLgBIJBKJRCqVSmpqai5evOjj4zNixAgO h9PPnUd3EypM1/8vQgghR0MQBEmSGLUjZI5SqbLLckmS7D4xRqlUVlRU3LlzJyQkOD5+IpPJNKjg 5ubm5uYGACEhIQBQWVmZnZ0dFBQUGBiIgTsCvUhdLBZXVFRIJBJ79wghhFAXrq6u/v7+bm5uGLUj 5ICou59aCtkbGxuvXLkSEBBgMlg3KSQkJCQkpLKy8syZM2PGjPHw8LBRb9FdjCRJkiSrq6tDQoK9 vb3t3R2EEEJdNDc3FxeXjBkzBjA3BjmMt95a18Oamza93a89sTs1CaSFUfaamprq6mqBQODn59vb pkNCQjw9PfPy/gwNDQ0MDOxbP9HfAUmSra2tGK8jhJADGjRokEwmw/F15FAqKyvt3QVHQY2ym57k saam5tatW3FxsVbE6xQ3N7cpUybfunXr5s2bfegkuruRWvbuCEIIdYGfSybhhzZCDokkwdS87G1t bdXV1VFRo6gLTK3GZDJjYx+4evVqY2NjX9pBfwP4BYAQcihtbW327oLDwQ9qhByZYcgulUovXrwo EAioi0r7iIra//rrL2pGSIQQQsgRtLa22rsLCKHeGbrw47S0tNcn2bsfdmIYstfU1AQEBFidD2PM zc0tODi4oqLCVg0ihBBCCKF7ydCFH6e9l+hn727YU5fLT6VS6Z07d+LjJ9p2GSEhwTk5v7e1tbm4 uNi2ZUcmFou3b/9ELJasWbOGx+PZuzsIIXQXq62t3bdvX21trYU6YWFhM2bMCAsLG7BeWa2H0932 MT01LS0NAObOnduXRu5BC36mt3QQR55U2rsj9icWizMzM8Visa6Ez/eeNGmy7ml1dXV7e3tkZKR1 7SvqPlfe3EKq2gFMXvc8Te/xtX2vzN036fW05WOsWxblVn7++R3bAWDcipcHx8T0pakBRQAQXUP2 ioqKgICAbudzFIvFH330EQCsXbu2JwtiMplhYWHV1dUjR47sbScLCgoUCsWYMWMYjF7cqNUysVic kZFRWFgoFoslEnFQUFBwcMi8efOov27Z8p5YLHn77T5NGETF6/n5+QCwbt26t99+G6P2HpJIJKdP ny4oKGhoaAAAf3//4cOHJyUl2btfCCF7SktLsxyvA0BZWdnevXvffffdgemS1U6dOpWRkdHDqH3u 3LlTpkyxYikFBQWnTp0CgICAgNjYWCtauGcdLTc9M4d1bBJUmCMWiw8cOFBYWFhdXWWhGp/Pj4kZ v2TJkt62n5mZuXv3LoPCyMhI3R1Ajxz5JT8//7//3d/blimKG+8RpMRMvG4byo4OWUuLrKW59eat y3t2F6WlAUkCQFFammDu3FGLl7gOGcx2G8R2c2M4OfVfN/qKBgRNL2RXKpVCoXDixIcsv4qK1/Pz 83t1UuXr61NUVKRUKnsbeUul0vb2tnPnzkVHR9skai8sLNy9e7f+zi0UCvPz8zMzT69Y8XJkZCQV Z/eFLl4PCgoGgOrqKozae4j6xg0ICFi4cKGnpydVUlBQsHTp0uXLl48ePdreHUQI2UdZWRkAWPgc KCsr27ZtG3Wq7+CoeL0nI+gSiSQjI8O6kJ2K1wEgLS0NQ3Y7Mg4qdEH89u2fiMXiNWtet7rxjIyM jIwj3VYTCoVUtd5G7frj6zp37gh1IXtfqcVkf8brALBzxPD2ujoTfyDJogMHig4coJ45+/m9XF1j w+Vu2fKe5XhSIIjs+YkcQRAEQXQGwY2Nja6urpY/RHTxenBw8CuvvNLDJQEAk8n09PS8c+fOkCFD ev4qAIiOjj537pytovbq6uqtW7eIxWKBIDIpKSkyMlIiEVdWVmVmns7Pz3/rrXWpqR/2pX3oGq+/ /voaLpe3bt06jNp7Ii8v78iRI3PnztX/Sh49evTo0aOnTJmSmppKPbVfBxFCdmbhE+CuyIehUOPr H37Y/dfN0qVLrbtjdEFBQVlZGTXw0dDQkJeXh1G73ekidV0kV1VVXV1dVVhYaHViSWbmaQBYvXrN +PHjdYWzZj1x6NBP+tUKCwvfemtdZuZpKwbaTRKLxevWrZNIxJRly5YCwOLFS/S70TMEAAlAo+YX Be2dvGw4eVEPbzVg8zsSCIUiyxV4vF6kvdEIMAzZqcPbHP14/Y033uDze3eO5evrKxKJehuyMxgM W0XtYrF4y5b3xGJxUtKMefPmUdEzj8fz9uaPHz9++/ZPMjMz161707rGdYvQj9ep09C3334bo/Zu SSQSg3h9586dEolk5cqVABAQEJCSkpKamhoQEGB5LzWvKH1jSfj6ZEHvXiXM2pnjvVzvVUXpG9OL NI8FyXrtCbN27swWGpd3fY3hn3rci4Mwe3mCpUPu1+eIxEvbys6lDOt1811bOTSL/Hp6X9roKb0t xo9frrd2ndvL3BbuUf3Ov1rxxvcna3vUk93AiqVW/PZVZlt0cvJod6vatYfNmzfrJ8mEhYVRHxQI ACQSyY0bN6gh9ri4OE9Pz71796alpXl6evr7+/cxOR71hfGYa2RkZHV1VWbmaatDdqFQCADjx49P SUmprq4yN3BLtW9yyNxqkZGRQuGdoqIiAAgKCgIAK8Ibvbt36WJmAgBsGD8zOBwbVus5apzRVgiD xBipVOrl5WWudh/jdQDgcjnWTfVoq6g9MzNTKBTGxMSYPMt8+eV/Uee7VrRMMRmvAwCPx8OovVun T58OCwvTH0Iz+IE7ICAgKioqLy9v4PLaNZGgILmzSJiVA8nr1wuoxzt3phcJkgWaxyXhy9cv51Ov 25gO2uCoKH1juih++XorA60em/5196MSAxmQd6cofWe2d/L65drNl+69Xrsp07XbuCh9484sbypG 7W19DWFWTpFgYrKJDtxbLGyH0EeeDx3o7vTRm2/2aWzFcVCX7oSFhen/RFBbW3vp0qXeftDV1tam paXduHFDNyrv6ek5efJkLpd75MiRhoaGbdu2UeXU75Z30Y8Sf2Pz5s3LyDjS93RcsHWA2C0ej0eF UlTYY3VuD0EQJKkGtQxADTQnABqoJQAkEGygmYr0Mt+bm9m7RdC0EeN6ktxIENSDS/v2DZ85s/Tw 4awNG5qrq/WrOSoCgOi8xkIqlXK5pk8yOjo6+hivA4Crq6vVt66gonZnZxcqalcqrbmO++zZswCg f6UzZcuW92bNemLWrCdsEq8DgH68TqGidtDmtdv2TPfvobS01OAn7zfffNPgi3nu3Lm67Mx+J8za mS6KX24wKMlP6CzhJ0wUFJUUAQAIi0uEgonaSFEwMZ6v+QMUpaeLuowII4pQJOLHT9RsS35EOF8k EgIAFOVkeydrt7FgYjxk5xRZU1+7mOIS0L3sHvY32w6bN29eqkcXjPaH2trazZs3b9u2jUqm72FJ D0ml0iNHjhg0lZqaeuTIkYKCgl41lZaWVlZWRqXIh4WFTZkyZe7cudSY+vLly/Vj9IKCAmomGaTz 0jH6gp/pLR0m/tTSAQt+pr90jN4fy+XxeHw+XywWU/ktfZGSkjJr1hPr1q2zScd0+Hxv40Ifn85v NB7PuS957SSpBqAx3KcwvOcB4USSSob7I0zv+UB3JlUyq5vVR9BMXEysUih2xcWpFIqEDRssVHM0 nWcVCoXC3FwxX3/9NRWMVlVVPf/885ZbHDdunBU7TUFBgeYruDtU1G5FWh7VvvHPT8b5RjG9n/dH F68DgMndVzeyTkXtA3xC7PgaGhoCAgL0S/QTY3qD+v0/vESTK8E3CJg14+HLE/jU4/qJ65MFJpJa +AnL1ycAFKWbX5JQJOJ7TQQAENV32Xf53t5QIhIC8ItKivjhyy18nFnorV66R3y8hc5rm9INoZen Rj8F320sDkvcBQDw7FHy6+kA5anRYSvPA+widmmL4NfnCKqOrsQk7Us7K+qVjNMl45SnRj8FG+d/ n7jyvKYiaNvXNt+5AvyIcNiZU5SQLACAopxsoDZT5zaltmREOP+gSAjQ6/qaDVZcAuGz+Zqckonh JenZQqDeZNBuXv1kGr0dQVNuXGL4/uV4ad4z/XdHLw3FXNqOrtxwFzVaguFuYFievD5Z0KUnhp3R bgeDOvV/7NlfGf7M015/fVUT8vyUYACA2nM/XxAymUwm03/0tAg+NFbkC51HjfB1AgB5802R3MWH 78oAAKVMAUwmwz5fcgM5yq6bqUY3F01PSizz9PRsaGhoaGjw9PSMjY3Ny8vbtm3bypUrORxOamqq RCKhImzql8YepgLOmDGDOnVJSkoyuFw1ICCA+nQ9deoUFaxbdz3r39gVIXFFSFxvIY7MU7rpzRrS 0gEvHacfLadNCOiv+8LOmzdv+/btZ8+eNR5P7JV+CiomTZpsENI4O3eJ0ZcsWVJdXW11+6RSzHBP cB55iKA5tV99XtVW4DLqCBAgLl2hbPnD6mb10egmTrfyUlPrS0ryUlOfPXPGQrW+sO3lpyQJJNl1 xhhzIXtjY2PPe2kuVY7JZCoUCnOv6lXOTF8uQjVOSrHJji4WSwSCyKKiQl2J7t0yeFcEgsheXXNw j5BKpZyumWTGg0xcLrdnV2IVpW+E5PXrk6mHuhQKAKDGyes35hQlJHtnHSwJX75cAMKsg7qUCyov r0c640YQhAvS03OyJgo00Vp6EfDjAUAoEoF3uCh9407zqdame6sZ5F+vDf+KIN505007vzLs0FGS /JqKyp+bRX49fVjKOXKEfmJMeWp04qVtZWTKMIBfnyOiU03nwZenRoetjDpKnpsOAOWpqeWGJdFh 0aB96fmV6+eXkeQw+PU5IpHYNW5bGUkOg/LU6LDnfjU4J+AnLF+etXPjxnTQD1pF9ULvcJPha2/r G7xFAMLsnPDl69fzoSh9Y/rGIn788vXr+frpTcKsnfq5N1kiEyWGBOGC9BIRAJ8Ki/lQTz0pKikS hCdDl/exa5qP+V1Uj+ndwHSz4YL0dO05jeZ3H+2qa7cDv0sdUWlZfdiDD3iA7j53zUUn/mwb8Uji CFeA28VZ5647R9/n4XG9tQPACUAuEQOTqVQBMACUKiXBZJvb8P1tIHPZdRl6uq+2npRYFhYWlpeX V1ZWFhsbu2jRIgCgonbqI27KlClJSUlcLpcaejcYy7DQ5vLly3fu3JmWlsblco1HtfLy8jIyMgBg 7ty5eCmqgSPzlDMOMK4IiRkHGEfmaX7G18XrI/nkp4+p+mnRMTHjAbbn5+eLRH2dhiUlJUX3k74N OTs76z/19taMu4vFYpFI86FYXV3N43H70P/O1HUSSELzlLAum9qA+9ChwsJCABAVF/MjIwFA1tIS m5KSl5oam5JSeviwrlrfl6XPtpefUjpjXw6HI5FI3NzcjCutXr169SADPcIAACAASURBVOrVVVVV wcHB77zzjnWp2BKJhGM+u7/bTxClUllYWCgSCZ2dXay7UIPL5QFAXy7NtoA6SGbNekJXoju70o/j dTWRAWrYyfIXXm1tbc++vfidCS2CifE5O0uKkgV6AZFgYnzOwaws75Lw2boBcJFmaFYg6FHygDaW 0+XCJK+H9I07N2ZTi48XQIm2alF6iSY2M0hyt9Rb7y4Rl2BifM5BC503Nm5bmSZAnr5627inrpbD dMNo/NetK2FbmSZInz7r2cT1R8pTUoxa+nXryvPPHj2nibaHpaQMK09d36Xku23fP3WkPCVlGACM 2/Yd1eL01dvGXQLNk2Ez5o/7/mo5TB+m+e1Cbwuu1+Sjb9wZbjF/qLf1Aai4eeJ6bR1+/GyqvmBi fI4INE86x+WLcrKFgmTtWRA/IYFflL7RoMR4GYJwQXpJUbJAICwu8Z44Eagn2oi9KCcb4rXdFIQL 0nOKhQl86HYX1a60md3AZLMJeu0Ii0sgfra2wc7toL8sUUkZxP1DP5+5prAYIh4Z4QoAAL5e/Ks3 6yX33ecx6HpzKwxylbeJWYM86M0yGbDZcpWSYb+IfUBH2RctWrR3715PT8+4uLiel1hGXTZWUFBA ffHponb9eB2081r2/IL70aNHz507Ny0tbe/evRwORz/VsKysLC0tjWofh9iNuTl1idqpQl28vv9x 1X1u/TXKzuPxJk2alJmZefZsfh+v1OqPgfazZ89u3brFoPCLL74AgJSUFIMsX4OJa3qCYPBU7Rfa r8wCxiBl4wlSLWm7nERjeCiaTpLK1tWLPGnMQYr6E2y/BWpptbzpNG/MnyYasXixql90DBWXZ23Y kHzgAEEQmW+95Xf//c+eOUPlsuuq9arn3bL120GAfsjOYDDM5Yiz2ex33nln7dq1VVVVa9eutS5q t5B40y39eH306NEWQn8LZsxI2r59e0bGkf4I2VEfhYWFnTp1ivrqMufSpUs9m+RR/1Rfl6Sih58w O3znQdDGvPyE5cth586N2T2b0KVL8NhJkLxee6GqMGtntnc4H0AIAJ0Z2FTMpZe2YaG39UK+l4kU QuPO98X5lWFE59jkOHP5wOMiuoT75cXnDUqsICwu6RINz44v2ZlTlJDs7cXPMdpCVtQH6Bzp7jnj bW5Yojf5j2ao39uLn15SlOwtKgGvCIG3IEck7JKuI8zWnMlpXkT93+SbLjJsXGR+NzDRLD8inE/F 411+XeiyHTrrlOT+DmFLDYPBluLTP5czmUwmk8lisdycAYDj5HS9tRWcFO3AdOGwOVKlEhhqNY3W v3MpW0SNsg/MRDFhYWEGuS49KbFs8uTJVLZ6QUEB9Zm2aNEiajwiNjaWitepGyGZHC+3YMqUKXl5 ecb3nJJIJBKJJCwsDO+Eao5+1E6VDEC8TomJGZ+ZmZmRccQBbxpoMunlzh2hs7Oz8VV51dXVvQ7Z CRpJqpVN/wNQAY1DEAxV0wkVABBsgs4SeGYBwVBzO5zuY6mkoGzscI6M6O0q+I0bRz0o/vHH4h9/ 7LaaoyIA9CZ5dHV1bWlpMXdCz+Px+hi1t7a2ubi4WNFNm8TrABATM57H252fn5+RkWF8YJw9e7ao qMhWU5bqLFnyrPGdw5CxpKSk//u//5syZYpuHN1gQL22tvbMmTM9+4YW6Wczi0TgHc4H0P+Jqiin xNsbDmZFaEcqdZnrpobB9WkyyNdbiuupsVEBaIIxq3oLINSkWABQufK62ZyMOm+1ccZzQpb36IXn i8sB+hS1G2T/6/C9vYUlnSuuy0Uv6mX9/poqRu/ETNsDapheVA/hE/kAXpBTXAS6XpjMVBeZedP5 Ro2b3w1MJcBr43HQ/3XBYDvo6pQVR8Q+YTRFmFvE5GkC165lgwY53eyQyVTA82QBwYA2mZyuArqz HUP2u33GGC6XSyWx7Nu3TyqVUkG5/uA3NSgOAElJST1MjNGhsgepuF8ikUilUk9PT+ra0xs3bthw Lf5+DKL2gYnXASAyMpLH4wmFwr7nxtx1SJIkCBrQqR/YSQAAurPBYzqLLb+9BwBodFfTrVg0JCY6 YMKE2txcC3UCHnxwSEy0FY0PIAJA7wpZDw+PhgZLOetU1B4cHExF7b2d9uT27ds+Pj697aOt4nUA 4PF4q1evAYDdu3ft3r27sLAQAMRicWFh4fbtn2zduiUj40gPL4HtOYzXe4jL5a5cuTI1NVU3PqQ/ Y0xtbe3OnTtnzJjRs9+IhbpZQ4RZB7MNZ8oQZu1Mh4nJybPDSw5mCUGTew4AAN5e3XxadpmfxEyV 9J2dixRMjIdsaimgSSmO4GsSO7SlpnorCBdAUY6mhjCrcxIUo853aao3ps969vzKp1LNxOjlqdFE dGq5YbXy1NRfp6/eNm5X4nO/akueWhm1saeTwet622UFQZh1MFsoCBcAgCBc0Pl+6DZYr+tbMUWK IFwg7HyvhFlZRcYlpl7HjwiHkoM5ovAIvuZJTom2F11b0N8QFndRvS6Z3A3MNUtNYpReUkRtGwAT 20FbpzhixAiDlwcGBLQUn7/aalDsNGgQtN1olDtzWQBMDhtkHXKg2+nC07+N0aNHx8bGSiSSvXv3 7t27t6CgoKGhoba2lprOhbqNKzUbo3XtczictLS0tWvXvvHGG2lpaVS2vXV3ZbqnUFH7SD45IWCA 4nXQ5MZMBoAjRzJ6+1pqBr9uLwClZsxzwAmmCYLQROdAUgBIg8dAAEEAQZD6kxz2HJPn/Pi33/mO GWOugs+oUY9/+x2T52yugnV0sxGa+9fLmVq6jrJ7eHhcvHjRcvqKwVj7Rx991MNFKRSKlpaW4cOH 96Z/AABXr161SbxOiYyM3LTp7R07tmdkHDG4xy+Px1ux4mWbnOBWV1dTtxXQRx0wyALq8qnNmzdP mTIlNjY2ICBAIpFQ9+0rKCiYMWNGj38gFiSHl1DXKQIIkrvOiK6Z3lsAAAkTvTfuTPdeP9FLtFOv uoUwTygSQVHRRv1pZEzOK9J5WSh1waguyd1U+rXJ3gqSl4t2Usk6wI9PjufnmOt8zzYJZfqsZxMT tTPGTP+aPPocoUuNMTdnTNdq47aVpQybfu5oMZFI7NKWnDP1um50yf7Xz0ii1tzwMtPe1tcbbrey S/z45QkCgWGJqdfxI8Ihu0SztC5PzHfb0i7apUumdgNLWyNckJ4uil+uHVU3tR0E4YKDB0UJy8ON Fhf4wBzauZ9PH71GJcb4RyZEeAGA0yAXaJA6u7AAAJhsNrSrWPaK2C1c0NLbWRHtjkqGSUtLy8vL y8vL0/8Tl8s1nvilJ6iJaACAmnmGKjx16pRuelxqmpo+9/3vzM0JchZaM5F0X0yePDkj44gVdyeN iRmfkXEkJeX/DMr1r6zT6eOkNP2D1N4AtUtKuqn0dBqA2rplOPv6PvH9D8dfXlF18qTBn4ImTXpk x6fOfn7WtWyBbS8/VZMESQIhk8l1RVeuXPH29g4I8Lf8SrFY/O6773K53LVr1/ZwYbW1N+rq6saY P8sxp6CgQKFQREZG9j1e15eRkXH27NmiokIejxcUFBwZGZmUlNT3E9Bly5ZStyIzJygo+J6a3pHU UqvV+fn5kyYldPsS6t4iBQUFtbW1XC7X09OTGo7q8deM493s0pK7q7d3DYPZDO9Zf6ft8MYbbxjc Xs2kgICAHqbN3Lhxw9+/my+7ASCRSKjZY3SfeAEBAb35xOuirKxMN0u9LnP91KlTulOClStXmruJ UmZmVkxMDI1GI7SsWqG70oKf6UfLLZ2GTgggjzxpZRyfkpLC53uvWfO68QP9auvWrePxuFbck2j3 7t0GQ5DGeDxeTEzMkiXP9jbOOXDgwIEDPxgUpqZ+6O3t/fTTCwzKlyx5trfp+JJzgQQp6f4+gAAE ASTB5UbX9Kp9fSqFovDbb3M2rG+vqwMAnq/vxLfWj3z6aTqL1fNG6urq/Pohvrcs8P1rqWOb2Gx2 l5BdKpWeOXPm0Ucfse3CFApFTs7vkZGRHh4etm3Z0RQWFu7Ysd1c1C4QRE6ePMkhT3P7ixUhe5/d XUHw3dXbuwVuVUp/bwc1wMANtpeVle3du9dy1B4WFhYXF9fDn+McJGS3LYlEkpqayuFw5s6dq/9z RG1t7alTp27cuJGSkmJuYq57OWSfuK/zqlOTEoep9z/eX/M8OjKxWEzNDarD53tTYUxGRoZ+gjSP xxs/Pqa3qQqKus+VN7eQqnb9eR5NIQm6M2PIGqbfsl61b6zt5s28Dz4AUv3Aq6+59v4TwG4h+/3N LIOQHQCuXLnC4/GGD7flrYxLS8taWlqsGGJHdzsM2btzd/UWob+Pv2XI3hf3csiOUA/ZK2T/4P5m NpttOEYSHh5eVlbW0tJiqyW1tLTU1taGhobaqkGELOrJPI2O4+7qLUIIIYQGmloNKrXRz5oMBiMm JiYv70+bXFquUCjOn78QHh5u3fSOCCGEUH/AbyWE0N1CqQalccgOAB4eHqGhoefPX1AoFH1ZgEKh KCi4xOfzqUmIEEIIIQfh6mrNHM8IITTwVCpSpSJNXzwUGBjo7e196tRpqzNkWlpacnJ+d3Z2HmE0 +S9CCCFkX5irjRC6W6hUoFIBw9yfQ0NDPTw8cnJ+Dw4OjozsRbatQqGorKyi8teHDBlii66iux5B ECwWq7293dnZxncrQAgh1EcikYjH4+FpDEKOSalSEyrSbMgOAB4eHg8++GB1dfXx478JBIJu52tX KBT19Q3FxcVOTk73338/Zgoi3RcASZIhISGXL1+RyWT27RJCCCEDrq6u1O3JcboYhByQUqUilCpL ITsAuLi4jBw5sq2trbq6uqCgwNfX19PTw83NjcPhcLlchZZEIq2qqpJIJBwOZ8yYMRisIwMEQbi5 uUVFRWnvQgxkT+6dgBBCqN9QoTmhx949QgiZoFCqCULZTchOoQL3kSNHCoXCxsbGurrbUqlUKpUy mUwGg8FkMjkczuDBg318fBiMHjWI7ikGdyHGYB0hhByHQeBu7+4g5LgYDLpdlqtUqgiauncRNk7/ gnqLitF1Xwm6xwghhByE7iMa8MJchMzr7e1dbUWpUnefGINQ32GkjhBCjkz3+Ywf1Ag5IJVaTZAW Lz9FyFbwawAhhBwWfkQj5MhUapJQkYzbt2/buycIIYQQQgghE5RqklCTjPFb/rR3TxBCCCGEEPqb u7ljtlgsVqvVvXmRWK0iVXQzdz9FCCGEEEII2ZB1SWjURHsYsiOEEEIIIeSgSCBIIDBkRwghhBBC yEGRABiyI4QQQggh5MhwlB0hhBBCCCG76sk1qRiyI4QQQgghZB/19fW7du3Kzs42V4EEggTAWykh hBBCCCFkB2Kx+LvvvqusrKysrGxtbZ05c6ZxHZwxBiGEEEIIIbv5z3/+U1lZOXPmzEGDBmVnZx8+ fNi4DglAkhiyI4QQQgghNOA2bdrU2to6adKkSZMmbdiwwdXVNTMzMz8/37gmiaPsCCGEEEII2UV8 fLwuGea1114LCQkxrkMCYC47QgghhBBCdjBz5syoqCjdUx6P99RTTxlXI0mSJMm+huwfpDz2z1Bn AKisqHow9bxxhS/XJM64jwug/HZf1qtnm3TlDDZ79VPjk4e7ezozmTRCpVSJWsUHfr6w5Xy9cSOC 8NAP5oSFeDi5sugApFgiL6+5/eKX56pkpMlerX1p2gqBW0XZtYc+uqhf/u2bSZMHcxQK6QuvZBzX Kx/3YEzaPwM7RA2j1p9WdrPG7n+8n+ALHY+vOnalm5oIIYQQQgiZph+vU7y8vIyr2eby00E0BfVg iJ/7SBN/94nhswAAQD2ILtOV+vqH/PnO9BXRfDea7Ma14r/++uuGqNnDzeWVJfE//3NY1xaI9156 +NjLY0Z5s+TNdy7/9dflogq5GqLCA09ueiSGTZjsVWXVbSWAjyev6xmJT6QHU61WM5mMWQ966v9h 5hhnDoCkoVLV/RrLuISaQSicu6+JEEIIIYRQn5AkSUKfR9kpMpmMzePOF7heKWrVL4+fdp+HE6FU qhh6y2GwfQ//O2oIl6i++Fvq9+erlK5Sksaj/xYdOvrfzz4cEyv4sLrp//7QjLWvWDL5GcEgRXv9 vg8/y2rmCVVsIFR+jPZ/r1g6OtBr9+vxUzdk3Tbqz8mTFZJHQzk87oMAulkuR473dXNitNTXu3h5 RY7hwx8N2r8QMd4cAPnVizWmB+0RclRRge6Xapq6r4cQsh2rjzs8YBFC1rFZLnujqMHbf3D8JH8o KtYvXzjGg6YU1zfTfbyYusKtL0Xdx2U01Pz1f9/UnJUP10bJPsXFNcEFtU/GBE1/bOTbf2Q2Anh4 hy6PGkQq23/9Ku2T28NFpOY3gSsy9c2PM354+ykvvvumSd4vZIoM+lOvqBe2yEI92dOG8bLLxVTh nGhPNsjzThbeP+chvp+PB5Q0aqp7+7qwlLL2439KAZxsskEGRPD+z0Zc23psfY22IDDqj9UuO17M /d6eveoV940bpr4gPO/3WZV+aVTyY8cjbz26ofU1gxX8+wje/9m4Kdonlaf/92C6Fd/i7hs3TH2k 8OgDfdo+RnuRo4pKfuz4ZBM/bp3a/+OCM/oFA7lG7hs3TH2B37VMWPbohkuXBmDhjkW32R12j7LJ QQd9OO5scsAihO5FJAkkaaOQvfnGHZ6vj+8Q30Ao1vs48r6fzxXXVzcxBvt0FvpM8ecCSE98e+Gs 3EN/VLtd5fHJd5eTogYTdIgEyAF4+vEADyat6eb1rdfcdfE6AADQijroZ2obHwtxG+LHAzAM2QE4 l0TtoZ78mAc9QROyE7F8rlImOZpXMfjhccM8eNPZxH4ZCQCBwzycnRgd9W0nlZp4PXpc5MezQvxd WUwaIZPLy67VPbM932Asf9L0mB3xg31dmKRSdbup9d2v/jh0Q9qnjdhrYg+Qt+hnBhFiZ6B7mq3v gG4dyi59YQ5/PlTpnWYEvzHZufTH4zXg9NWao83tEfbrXv8IjPpjdVhL+po1mks/xi3YklzHNzxv 6QGZFw049D725uLdspFrjmxbc0IKAOCf9OqKEVd3fJBxAwCgWjq2a8WBXCOZFw1K09fs6byKxz/p 1RVfJF9/wMpw8O6l+zgy+lxyBDY76KAPx51NDliE0L3LNiG7Ghpr6sUjfXmzvdmpIk3OeuykQA8O cTWvhDZqsK5m+P18NyeGvL3511vOxlko1+UNr7z1NkPtWgRBADBtCBeAvF1dW6M27qfTB1/89zRL XC4bDOBu9Ffif5dF/xjB5/vxAa4DAIDf4EHsjub6k0rXyJttYV4+Tzzmt//nWwAw5UFvLkDNzRoh AAA8/8+EtbFeTFJxu6biTrP8vtDgyPDAkxt4D2/I1EXtdLbzsumDOlrrC/+64T44eIiP+0evTuG+ c3K/SGbUE3vRG//TDfsFRv2xevD/Tre9MNkPAKDwvF/BkLoF2seaby9TL+wvnEu5laVzHkuOO/u9 bqA0jj8RSr/I9WuG4Oe3jLi29dilGpO9ct+4YerQEz8uOKP5Pq7a/+OCM7oR+kvQOSjb/qUDjfm5 b1wS5py7443fx2ZrLgNprE4v/SF52MbAqvU1wfs/Gwe6YeO4CXULIOXF3O+7jDFTq+O+ccPUWV4A 8Yl1ntR7Z907fj+1kSG66xh2ofk27aRZFrGPOrwkvBSgCSVj92my8Nw3bngACql1bP9y69Whq3W7 jW5gtf3L020vTNZsTPPlJtfXoH3DfUmi0PUEAKQFmaXHEwZHpTddAnPvZvD+z0Zc239r6oKwEKoP /b1/dr8b6K8jgO63C1NH1qWe7xWBUX+sDtNNV6b9PWTAV7+bgw7MvO8m+2l03JleR7111/u86nrA IoTuRW1tbdevX5fL5T2sz+fzwdaTPDJ+KhZG+IbOeDww9asyquj5GE+aUvLr8cakUZ31ogVuTgDi jo58tcnRBuff2nS13X15TADF9WrTo9flsqBy8xFydm61ZNYIZzfXQIAagPhpQ1wYtFs3a4RAZBXV z4/yCx7mA3ALABIDnAE6LvxeSwKDwfZ/OdqDoRb/+unOPTWsFjXhw2xJWfHi2EDPvUvCHt2tWTU6 g9lUc/HN7f+rVHK59GPLFi18ZOSQlCWj928928vt1k/cN26Y+kJj+prU8wAwbtGW4xvg0Q2XLhFi Z3B+wff3NWs+hnGLtySPq6MdW7PmY/BPenXFyI2BVdQXUmLpjjWpNwDAP3HN8Q1R/RuoKWqzSmHp /cFwRvMdNv/++6D02F4F6A3XmezVn4Wl9S9QL/RnOdfXC/zdAZrG+TrXl16siYsvmVyXvmbXeQAY 9+yW1ROumsoXinaqjWAJDQqL5fxzHQH9tb6BgxO96y//11UbOgCAe/bvP68531HQHgEg9gAA3ZFB lwCAJwDETThuuDonD32wI2LVihFXd3zwEwsgxNp3XLORDcew/3eRatPczmCHTWeWzIvmPGtkyY41 H98ATkF7wnua3SZ4/2fjBLk71mTcAP/HX17xAMA1T7BQbm7nN2jf8vg955KSAYTEBcDsuwliD3Ce soD1zZo1XwKMW7zlhSVRh9b351HW/W6gv47gn/TqCnNHFnj1+CMieP/qMIl2YHvc4i3JCybMP5P7 /cCvfjcHnZlPS9P9/LPrcXe/mXXUrbvuV5dbXV9oPMyEEELdsNm87IePV/x7YvCQQD8PKGsEAHAf 5cURN9SmizlJetWcCDUAkEC0mm5Gn4wGJAAoSSaAotvaBpqU9aIW2VB3TgKb2Ccj54wcxNTG5Xl/ VrXPDnfzdA8EqAG3ABeWQtJ+slQNAMlzQrxY9Iaq8s3l/tTQfpHcV/rtlW/fSBgaMkS7akCqJce/ vfiLJJgEAPAR7s4bv+VxLx/3eL2rXQeEx6xVc2Z1KbkGABA4OJFfmr61cZ90LABkf5U+clvyG3GX 5t0CACi9UruvdSz8Xrk4eThQj692LAC3Mf4AQ8Jf4Jd+857rPtlYABh06MfRa59/I+7SvDNGS7YZ 973Hcmf/+z5tbkxwckR97ke11fpfaXGme7X0ZhOEs6MAYIibsL4+ks8FgEg+3L4sb6ZLAGilrWP3 AcDvh+A85IGJexNQ8aV+6NnvQac/dwg0pVVyuhQqQvZZ3sFNrU51u6cQIEwVvE8qsf4d145uasew 3TfOm6DO/Wpzhbu5zU7tDHbYdBbVX732aevYZv2iOP6U+tx3D7ruk42Fq/muuaFvTLBcbml9TbRv WvD++UPrf/+hELpJgChNP7CzdWw1QHZBafI89jiA/v4Fo9vdQLeOg240rRhh5siyuJW6uvjVmnSQ aga2swtKk4czdGl7A7r6lg86c8fOGZP95OzSP+7MrWMcfwqUfvH72H0KacH7awIVEQCcS11eiBBC vWDjWynVietqGyQR3i7zvdmfimQjxwd58WgV50tvkl2yGpVKssezsqjVfZrAhUpn95ia4L3vN/EY b45CIqbi8hZl440myShf3mxv9l7w9nBmSW43Z6tYABDvyyYAlEyv156J0zVEI2hqpZrNZY0BOAUA AAqp9KReYk+VTFLfLnf3ZOlf7Tog6nO1Gb0A1OCYHwCAP3dIvehXqSbqrZbSr9XD/f7ucAsA6q/d cAcAUHAlUF9HPVYzFQAMGkT5cQGGPPPh8Gf0lnHb3x2gHxNzqytuFNRP0OTGxPHj6iv+VdFlCCrK 33Svmn+qKH0yfBwA8Mnrl5p9p7hEAQz1Kv0jjwOQm/vwwrWfDV1r4vLELvRDz4EIOmkqAJpE3ctX /dnd6lj7jhuISo55gch99yD7ktrsZtftDAO96Sy6fVPeDF1isih/F6jv+K+MAwCg9vvvjaY3gGax 3Nz6yky2rzNm/py6+XrPS9OXHjJbWUeiCKkGAIBqNQNA1U1tG+h+N9CtY3Oe2SMr6glzW8mYe3br 2K4XfV7T/W1AV9/yQWfu2OlRP02vY5S/C9TfOasAAM6l9rH33rXICKF+YbOQnSR5J6ubInwCkh7x +XT/9ecneDGUkqO/3iahyyQPlwtuyyb4M5044QAl3TTZImyTDXZ2HhLoCmesGJYgjl28PWMEf+gw D4+Lrj6ubMntm1RcDsA7f0c8ytdlyhTvMpmXE5DXaq5RYchQFzYA+PoHzPY3ao/BCOx8Qmvrktjj JCcBgOB7EVDe+55aTz+jl8rxpYpVAIy2zmqsDgAaQWUR0To6J5/XfwwA4EKQBmcBANAki4Du4o8+ Uct/Kan/5P5gOFM1//776kvOnOyaNGW2VwqXa/VukYHuwG8oPdNy3zzvcYEQUN+6UwEAxOb314ym UT9Vz6lbYClfVhdrDkTQeauxHkKHBnYObwMAgHtUYNMlC+m8iu5Wx9p3vIvAqC8mu5b+ePG/Mj/o 2c4woJvOIgVpuIu6ECSQTN24eLP2+nVL5abX19Nk+zq6y0/HLd6SPLw0/cvGX2QOmPbQ/W7QuY6K DnNHlvmtFGjUniaQvU3lII1bvCXZTjfbtnzQmT12mIbtmGB6HV0IsmubCCHUNyQBJGHDz1Dih0NX n4sOCB4WyIC2WF+euKH2x3aeQaWS0psS6WgPZ+50b3aJiYs12cfefiSIqT74659v5tSfu90W5ecy OMgfwHjudYifFvvVdB9RXf2crbm3THUo988b0rkCDy/PuAkq/bgcAH79vfapKD+/AO9/gCsdOvJO 3gFgA4BI3AHerNLsb/ccKzZqj3MSzKWxOrHpNABVXXUbgAPMlXCrsd7LezhArua5e4AXCOsaAAZb fBkU1jVAvP9tKgFj4HBOnquoTxk8P9D1/yLqC1INRyjN96rteAn5dPTgwdC8TtE2vN4tMhpoJUV5 QNcNbmV/ueY80z/p1RWJ0e7rzU+HPHARZ9W1gvroh6LdQb8zgYO/WD21wtKvASZXR+/wsfYd1+O+ cUlYYGn6k7l+VDjbw53B7sG6OYV1DSDwiAIhNcYZ5ecB0NhN+XXvZgAAIABJREFUuVU7v+7y0+wv 18ALW5K3uZ65myZaNcn8kdXzrRTHn1Kfu+ODjCuyiF9kY0HB2DIAHTfJ8kFn9tjpwe3yzKxjYV0D xLvrtYkQQjbQ17uf6rvefqOuUezs7vLcaH9PHq32qmFWDACIVc1nbzQCOD25cJTx6cIwQdgwd5YL V3XzQi0A7P3hr3alytPPd6m/8RAXsSJmkAuLyZLVmQvEWpSiO81SDo+3KFQXl2sUlF5vE8tdB7kL BrHlYknWbU1frrXIAOjO/g/sax2r+3eE/c8177776qp/6c4/mBz2CL0brzLY3p4uTKVMVnSntxkP /aPqWkF90OYXg6ln81+Mi67P/S6v+5Hy5rwzufVBmzdo758bN6Hus8c2Gg+f2VpzZf6vpfclJ7EC Ss98UGnYT/O94py82RA9OYJZci0P2krryYdGBglvyps1dSbMB6iWjt3nPjnYq76kwORp3YBTyz/4 Lpc5eeofybqB2OD9qyMCS9O/OgcAjXX1MCaKeuPcN04dqqnS7epY+47rRCXHvOBdmv5lo+4SPXvt DLbSnHcmF0Z+odnOwW8kuHdf3rf1rZaO3fZlein4pWreCDPv5l3A7JHVi61EV4CX/+3Wsb/IOBAY 9cf8oQAeQ+2y/1g+6Ppy7JhZx+a8ilIImh4HABCV/FidtnGEELIOlctuy5CdJJ1/vdZIY3BeSPZn abJijHH/syuvVa7yDwk4uHCEftTOc/H95pmhPBoIrxX+LHECgKr2239cE9EYnFUvxye46NclVixM eGCws0re+uPuc+anQ+dcrpeweNyRfK68Xfy/250tiFXSa00SFofn68JsbxLlaTMxfsooaleqfAMD XhmqG2JhfL4sZBCNJq+/phvqJ2icpS+N1TZHfPBSxCAGvelW9SnT0+AMOLX8g/d35PqOq/tsTt1n c1J9c3e8f/GnnlzBqyA2v78jlxZ2/LM5dZ/NqVvglLtj26Hafu8vqP12FpTGCYJKC25fMj7rMd+r 5ryKUgDhTXkzcK4IYYg3lcgOcO6b9FK/VKr+6oim9E+NzwTshHOp7OK6NemSyVOpd6eOmr1EEyu3 ffJ+emkE9cbFeGXlam4CbHp1GrJK6vnxiXUvBlv/jmu4zx/pCjA8edsL2l7N+WOml312BltREJvf T2/TbOdh7bmlUN94rZvyvq5vtbRxfXopRI6rezHY7Lt5NzB7ZPV8K/2Znl4atFmz07Jy16SXgvtQ 44TDgWDxoOv1saN33JlbR0Xt+h25IQvm1H025/jkuvQ9Fw1fiBBCvUf4Lk/ry+u/fnVqYoh70Z/Z U78RAkDkYJ/DbzzEpRHt9dcnrf/zBkkAwP82JQq8GEf3n3zujAQACKLt+ZiQ1+Y/5MyitbZ1lNxo vNGmDrvPI9SLy2FA8+3y1VtP/SLzotofxq7/7NW5giGepFJVW9966Xor04U3xt+N78Ik5ZKzR358 6TTnttFYvk7ihOGfPTWKBdB442rsu1f0p6l59ZkHUh4IIEB1+fTxR9I1ufIsWvPWZx6eExNEqBQl VY1XG5Vjh3sHurHk7aJ3Nh/6qtUDgPvXfx724TCARtwRteRXtQ0N9gr35ijaRe+9k/5Fi1dfNmYv NcW71jW3R3TGuLS6fzhLL7dS10tJo5yLR1NnZOrBh9v9mjUVmmo0L9F/eVO8a6V23gO9FwKnQL/9 fsWsXMhpqpaO1ZuITb+H5nrV2fNB7OKZbKdszepDEOdCvDYZtWuzjqAp3rUySPdEFvGLjGP0J06B 1D2Qo3lDTa7OIHbxTLYUFCH7pO7WvuNUYTBwdZtXv1dgn53Bsi4rBdSKD5Lp3mLD1QwCAOAUjF5w fGrrnLcqcsFCucndzKB9fab+xKxcyGnSvikm3039w42qD7r9tl90vxsYr4jZI8vMVtI129m+3k7r nt3qHti5yw3s6uutUZDuSZeDztSxY/5t0j/uzKwjtc1vuWvKNWvX9YBFCN2LSrc80tt52aP3tj/O rWYw2TYO2Vk0afbbyUHunPKzJ+P3tVCj7AYhOwC40Rse5hPLF/wj0M+T48SiAahVSnF7S2Huya9O 38mUDu7oXIJylFPtoikPTZsw0oXHYTHoAKRc1tFwq+rg/sPposGlSq6F7rkx2Gf+M92DTejH5ZTI wX6/vDmBA9Ldb/+8tq5zAD6QdWPB+Kj508e7uXAZNEKplLeIrn/96U/fNAU2kgQVsntAa/aZmzET Ilw5TFKlaBLW6FVACDmAuAl1C1y01+m6b9w4ddbVHx76nt5srtze/UUIIfS3Z13IPpNji5A93Kky htVU1DHsvNwVAABU47lXRzBkRR1Dz8vdqDrjOMUCpjJfElaidNK9kEFIBGxREKPFlaagAahJeqPa pULuXaZwNUqnIf2Y9cNZDT40qROhBiA6SHatwuOqzKeR7DaxR/ywc/lgGnlJOqxA0eVyIhatMdG5 yhXYOe3hVV0TWjwYDaPYwiF0KQNIJcm8qfT8q2NwiyYc70jglfHB+bycO4It9KIpSJJRq/TSq4AQ cgDMyrVznl8xwYN6dvP3HZsOuf4i45gtRwghhPqZPUN2hBByTJo8BADomghhrhwhhBDqV9aF7P9w qmaw2HaaKBchhPqZ9pauPS1HCCGEHBEJQNp0xhiEEEIIIYSQjWHIjhBCCCGEkMOy/bzsCCGEEEII IVvCxBiEEEIIIYQcH4bsCCGEEEIIOTQM2RFCCCGEEHJoGLIjhBBCCCHk0DBkRwghhBBCyEGRJEmS JIbsCCGEEEIIOSwSAEN2hBBCCCGEHBU1ys7430sR9u4JQgghhBBCyCSSBDVj6NChpBZoA3nt30m7 9g8hhBBCCKG7CUEQugfUY0JLLpdb0yKpBiAZVBO6qJ16DADUY9v1HyGEEEIIob8/XaQOevF6H9tk 0Gg03Wg6Fa9TjeIQO0IIIYQQQr2lP9AONonaSWDoN6o/so4hO0IIIYQQQr2lH53rR+19aZOha0g/ K8ZgYQghhBBCCKFeMciQsb4hEhhg6lQAcJQdIYQQQgih3jOIzm0yDs4w1wqOsiOEEEIIIdRHfQ2q SUKTy04NqBs0h6PsCCGEEEII9ZbJGL1vgTthmBgD2mAdR9kRQgghhBCyjm1jaUZ/LwAhhBBCCCFk JZIEkmTgLOwIIYQQQgj1n75NF0OCbpQdR9YRQgghhBByNCSoAdQ0e3cDIYQQQgghZAGJITtCCCGE EEIOikYAjQAM2RFCCCGEEHJQdBrQaQSG7AghhBBCCDkoOo3AkB0hhBBCCCHHRacRdDomxiCEEEII IeSwCJIg8PJThBBCCCGEHJcaQIUhO0IIIYQQQg4L52VHCCGEEELIoakB1Ax7dwIhhBBCCCFkmlot VyoBQ3aEEEIIIYQclFIhI0kcZUcIIYQQQshRKZQyklRhyI4QQgghhJCDUik7SDUDQ3aEEEIIIYQc lFIpp9ExMQYhhBBCCCFHpVYrAfDyU4QQQgghhBwVqVaqCQzZEUIIIYQQclQqlYrAUXaEEEIIIYQc FgkYsiOEEEIIIeTA6DSCRiNo9u4GQgghhBBCyDSCAAzZEUIIIYQQclx0GkGj0zBkRwghhBBCyFER QAPAkB0hhBBCCCFHRZJqksSQHSGEEEIIIQdFkiSQePdThBBCCCGEHJWaJAk1jrIjhBBCCCHksEgg MTEGIYQQQgghx0USADjJI0IIIYQQQg6LJIAkbJnL3nqr9tSZym8utfzVIJMBABChnpxZUfwnp470 G+RkwwV1SyGu/+Vg0X3jR0UPdx/I5fZW4/Wa7Pzqby61FLfIW5UkABHgzor2d1v0YMjYUQF3y+nU n79kPXFcBAAAvDOfTQ+2Rx/Uipp/rjz3/+zdeXwTZf4H8O8kaZs2vdL0pielact9lPsUUVlOgQUX XHddwGNZXVf47aJ7euy6uirIqriuwurqgoKAVkAQRBSKIC039KSld9o0TdI2ac6Z3x+TpGmb9EpL I3zeL1680snMM888edp855nvPHPcwhFRhCzs8PN3xrhaa/+HRx461UhERKKPfjktQVMyZWc5ERH5 7ntixqSB7i2l5y6+caxiT0mLkUgoEg4JCX7/+TmJ/b5by9WTl7afrtlf3tJo4YQi4diEwIczE+6Z le7Tdj3W3JR7/Npr39V+ozBaiYmX+v9yatyyu0YE+7jtqorLF+a+VVRLlBgfceDpWbK275p19Ye/ uPrv85pzapOVKFjiOzkueP28ESNTw/vjOHtNU3btvlevXbJwRPTGyonLpie4W/P8oRMLsxRWop78 LgxY+7PmplNHLr97TnW82mAk8vMVjYkL2jArdUpmolf98em0/dnrOZffz67JKm2uNXH8l87qyV00 CwDAD01fhuwt32SdfeJoXa2Fc1rIFav0/zh249VvK/88L3Xt3OE34S8oazZcyr74+KcVxSaffRP7 f3+913J8z5kHv1Ia2yzkKtTGCnXd3st1QwYVbvvFBHls0ABV7wdG4BN//4T846caiUipaiy4UBsz OqrdOqy5KutiM/86KjIkbUREy4mSm11R98q+z5n7Xmmj/UerxWoIEAX2805Zc/07//r+mTydY4nV Yj1boj1bcnnq5fo3H50SZY97WHP9a1tOv1zSYl+Rq1Drf7+/8P3L6o/Xz4hyHR5p935VWetm1/q6 67/afPGQ1upY0qgzHS6oP1zw7TOL5A/dlD8X3aPdsa/kUpu/bK5pyq49dbDW2uV6Tgaw/Vlz/T82 ndpS1voXyGiynC5RLy85u6qg7vn7xwf05ED6Uyftz36X9e3yQ0qnNueKVfrf7y98O0f54aNTh0T6 36xKAgD0qz5LjGnZ+/6J+w/V1rr5VrNaLH/Jyn91/+W+2FcXyk5f/NGu8mJT19+vA6plz/ZvV7aP 19sormpY+PrJiyXqm1ep3pq0aFbN1uU1W5fXDNAQOxERCYYPCZPYXlsOFlV3XKM8V3FMx/KvfzEh OpooefpEe80XD/gQ+7k8JR+vSySBR/84t2brsi9/OV7WxUYeYr/99KJzvOgsO6/mtU8vsvY1vztw 2SlebFVQpnxu1zm24xtkOfnp+RcKXWxCRETa93bkOcfrTqzPZF3/vsBbev6Z/RfcH4Uz9TsfFXcn sncygO3PfrnrnHO87oTbkV3+hdeczXbS/mXfn3uwTbzu9JZC/df9lwz9WjMAgJuIYfoiZD9/KOfX Z2zfvX6+/u+uGlHw8pKarcsLnp32xiSpn20tbsuXZefLtJ7v7hZw/lDOEzm24VShSPTbO5PPPvuj mq3Lq7YsPPFQ+qpBtjZr1DY/8vGFWrOrr2PoIGnSoLsktv6893tlRfv32SvFDfbgyG/6sEE3sWrd wlpt0V54mH90bBCRIDhU0vkmHjKoS7ecsEXGidHSr56aU7N12bnHh84OEfILPzihKDWz/JqvHFPx C2ePjL348pLyl+e8lhnML9mbXXOpsrnNsZib9v/v+E++dB1OEZG6uGKnPQ5LS5R989Scmq3LTq5O SRMxRERk2nvpRt8daO/VXru00f1ROGG/y7roJgJ2awDbn6jqgzO2P0HBIYH7H59RtXX5xSeH2XfN br9c4w3xbuft7zjLJRL+fcnQki3Lyl++4+8jbZemDucoS9Q9+0QAALyVgGEEnibGsOaKt76q4/+k BocEZz05I81+LTI4ImbZz6JiQ20XLq2Wlj05pWMSRztt25R7/NqbZ+r4TMpgie+cwaGPzBnWLpO1 9MQZPuE4MT7iwNPTqo6fe+lbBZ/NOXZw6NOtmZfqF//+7ZYKk30705ItR4loembCrtWOFJk2aaN+ vqJZySFrp6a0y910Ss5uk+KsKrg8f0t+GRE5pVTu2X7wsRwdET0xN+1HgbrHvqgp1lmjgv033pOy 8o6Mji1mUJdssbeYUOT30UMTpo2I5t8S+IiHjBnx8vC44e989/srOiIqq1Dt+Sp/3dyhjioJRYHf vHpPitN18JoL5+/5d7GSiEjwnwcnz50Qyy9vrC7b80XRW/mNFTqrUCQcmxD860kJM6fJnRJky1es O3OCiMh372NjS0/nPXuhsdFCYweHJJhbPq0wkqsU2GvHsu/8hB/DFn/x+ztGxwW6z2W3XDp+btPJ Wv7zjQoWLx8def+MoUm2bB/je1uPPH2lhYjunZr81v2Z9q1aP8e2e29df1Zmwv9WT+xwuhm7eHTQ p9laItLpmq5+Xx1vbwpqmxUzdrhsaGIIOXWtDrns7PWcy1uPV/L9JFjiuyBdtnpG+jB7zzy++6uV XzcQUYY8+tPfTA+2b7Vn++HHcpo7fkyO9V2mFPNHXVRrdrHYrq6o8NNvy9/Nb6zQWYmYjNjA1WNj FrVN2HXqn5Ljz4zI2nn5zQKdRSScmSL7688mJTtOn+0UeaqztlFhwR/vThuaICWimIxhf7hLc+yT aiKyWkzKEm1KmrTqSr19Tb8NPxoeKRERSRcvGfLRhfOnLRyR4dSVitFxGfamu/jnfTeOqS2dHI6m Rldseyl46o50eYKUiFIyxz5VUP+LbC0R3WgyedJDHDzpWqy5/j+f3yjoxsB57bUrTx+t71FKDA1o +6sKNNftx/XEzKRxGVFEFJk69LczVceyFESk0pp1RKd7288dPPkF6ar91QXVJvteIpbeNcyfiHzC ly5I+u+lK3lERNbGOj116PYAAANIr9f3aH2O44iIIYZhBJ6OsheerDhoTzZYNz0+rX3uoGDij1KW R/j/bGz0rgdH/27ucMcbDSX5a545umhf+eFqAz8S0qgz7b1cd8/m4y/sOe/ygFir6c3Xv7xnV9kx hdFKRMSdK1Ev356778T17lRVX1fxwiuH5uy4vqNE32jhiMhoshwuUC3ffnbNO6caPB7MPpVXteKT ymKdlYhqGw1W8nW52o0LiqP2FntgevwUe7zuIPCRLpmfNNI23MjtulqvIUofFZlGRERWi+7C6TYj yAVFDXy8HCELHWUPUotPn737xbO/z1VX6KxkS5BVP7Dj0sOuj5R94/OLG3K0jRaOiLtYbvrJlCh+ gLesQlvUJkXB+H2+7cexw8PS49zmWrPm+rdf//KeXWWOz7e20fDGt+Wz/vHN8XN8/f1GDw7hV87O 19bYN2ysVHxpP+8qq2iqaB0+VJ0p5Uti5ieHu+y4o4ZFRNj3/1nb3JjS09X2jsqszIju9G7oloP/ OzZze6GjnzTqTDtya+55/cSHx/L5IlISQ/j2ySvUVraO5CmO5tl6rtWiLzqvsC9vvlZlWz5HHtox Xj+ddTxm3dEtrUetHL5ud8y63XtO8KcTLcf3HJ+w+eJf7J8mEZdX3fTb/YUznjniJnXK/Nx/zm8q 0BmJrBbrVbXV31XgYuBovEycIfPzI//0ca2XHfx92p/JVyia+R3HxwbFJ9o+NbFUNmWQrZNn1zbx L1QFV+/fXszHi0KR7+hI14MCgTJxvMs37GR+Qk96yOzEwN5t6NS12O8OXOYHzifJQzqpLWuuf/ez 0gILRyS8V96Duw8GsP2lg4NiXb5hF+Av9PGgn09KDPT4F6TL9g9JjvBxsbiVQCzpfAUAgJstICAg MTExpduCg/lBj77IZb9R3WwfWxLPHOliIgWBT/zmZxe8tHb69AmpwRLb94dBfWPjO9cOuR4H4l7/ 6vo/sy51jCsrqrVvucj7tD7/VZmiw9IO1G/+5/zrrpJBibhD56s2fHC2Zyc+HZwta3bcOxgfIZ0+ zXVed165I4HXd/HIJJcfQGhiysp0W1RZcL2xWm0MTUxYIeeXcJ8UKZwap/bgJdtuF42W8dOkqAou r91RVuZidIo7dL7q5dYEWQfLsTJHyzCrpkVPnxlvTzIxHS+odKxnUJfvto1idh74Gj/bkesySddo avnpe5eu1rUQUVKGjD8PUaqay+wnBsrSxkKn1a+X2vIBai7UZttibvHY0XEu9xozOm6RPUY5cqHB 6cyGvVDUYL+yIZns5qPhndn//cPZ6o4jplaL5bef5H17QUFEg8ZEzba1jyHviq33qQpU53WOpmUv KGw1N6hrDhTyWQaiOSmuZrLp1Jn93//UzW0PterGFe98X1DXsVebjtmTNIQi4a+mxrQ/LyQiovSp E/Y9v/DY84tubJ03xGm0Xt3k2Jst6FHZlwQGipxi/9DBEbbWLle0tDt1GDJIevg3M9YmuB7jjBia sDSeDzfZF7/Ov17dRGQpPJP7oi1bQ3TfsDjyoIdsWBjnYdeqvXZ5w5f1RBQcEvK3u6Pd/6Fkvztw +Y0KExEtnZrws8E9uN9xANtf4BNzf6bt1vYt39w4V1RPxNbkXX35G/70n/nZyOhgD/r5Y3cle/gL 0o32F4xJk9lPDJR7j1wzE7Voavfuv5FHRETjh4fJ3Y8pAAD8gLAsx1o9fZSS5nKlLeNRKBKFdvvv 45ljJfttgSuzYmL8uRcW1mxdcvZXjiRO7o2j5RddJb4LRb7/XDGifOvyq0+NmmvP+Kyta64o1hBJ n3p68amVjtMG331PzKnZupzPisn/Os+RaTo1I5LPnb3427GPJNq+0g7lVH37fSV5Ji0x4vsXFtZs Xf79s3cmup7DQVOscOQ/+ES5veXRLzXWkcdsrivTEAXOGhnG/3ziQkOpfaRccbnmSxV/5iO6S84P 1Bm/+Lqcv5osFPm+vWpM+dblJS9M/VOGrcAPTlQXukjxZJ64O7Vky7KarT/+x4pxAoq9b0Io/8an V1Uq+0o3LigvEhGRUOSf6SZuJiLF5bxn7ZmyUzOiv39hYc3WJV+tSkwUMURkteh3niggotDEmLm2 uM10rtT2vV5U7nxPIndGYbvOXlau5aOJDHlInNuL3RF3jbCNQfK5Mfxr1lzxyQXb+cO8CeHJ7md/ M6ivv2jPnXWkF3//cNpUW2ezbDldYiAS+Ay6J4OfUYM7Ws7XiypKNWVORZ2obOR/N6quNPCNJpFI UjrMY0O2+3fnPGFrCkqMj7iydXnN1uXLpic41yc4RLLz5+PKty4veeGO/94h4yvUqG3855Grrq4Q CV9bMap86/LKfy596C4XCVru6Ouuv/q17YjSUkKS4gKdk3bCg32DXW1lZjlHHdITQj9YNerYH+YM G9zJHb3SXyxOmS0VEVFBmWraXw/FrNs38/0Sfqz6mUWpM0ZHkwc9ZMjQOE+6FmtWvLarpIyISLhl ydAoIePuMKouXPyVPbL83YqxbtfrtpvV/n4/WpD+4CA/ImrUNs/f/HXMuj1jX792TGslYlZNTVwx O5U86OfysXJPfkG62f7y6SPfmBHmR0RkfXrf1YR1uwf//tunLzUTUWK0dNOPx3rNpDcAAB6xslar 1ephyM5ZWdtQblyMf7fnI6z+6LRtSGj88Ji//3xSTKiYSBQ3bNimB1L4Waj5xPeOWz44M3H5rHQf orAE+RMz7UkQxFmtneebNh+7qOK/raMiw7Y8Ol2eICUSRCan/O4Xw+yjQda3z5V7dseV6Jl7MuK7 mIG+tcUS4wNcfvvyhALHt5SFH2MbPCZ6ki3kbc2NKShsqLWVJh0+IoKIDOrynZdsFwx+Ozd10bQh PkT+obGrf5pm31x/+nx5u91FyKQ/v3e0v1Msm54u46NLp9wYY06Bbfh5+uhwufsk0fx8FV8riST4 lUenxoeKiURDp014aabtrCPrgqqGiEg6aYjtNO9ASYOBiEj1fWmbMeNvi7UqIqLmcyW2S/93Dw7t pN3S5GH2oLg1N6bwZNUJe9LwoiGdjJhSyXnFaXvS8Nafjx+aICUSxI8e+de7o/kQ+fSlhhK1kUiQ kWSrhT31gi2obHIu6mJ+Y5WZJadIcXxGSE9ves0/U22vj+jt+8bOmjjYh8g/NPyu5ZNfHWtrus/O 1HY8Bxs7PGrxLHlP0wL0dRX/+M9V+7w6wqemDw7tYQmytBHvPXXXnGld7zpq6PA3HxnmOPG2Ez67 SL66dYbHXvcQT7oW++WuS+/VWYjowTuS757g9tSUNVe+8HFpLRGR6O37Rro5S++Bm9n+AZFJz/1m 4mMJ7fP31sxI+tOKcfZgt9f93JNfkO62P5H/3J/M/HBO+1n8kxNkHzw4HjM8AsAtw2plLVZ2AOY+ Vl5T5tovj94/bJDzQEjU0PRHh9v+zn5TrO2QpcuMi2nNBA6RuE4W74g11x+1XXilpaPDBzl9swZE pjxkH04+e03bjQSbTvgluhpD7StiafJPR/Mj5Y7cGOWRy7ZrEStHRfJNoy5rtieEiEbFypw2j7pr sC3IPlLRvmnTkwPbZWxEj0j8iX2cks+NMagr91zjgx7B/UNj3Xcd4w2lfTKQ5MBop9YeHB/MH4BS pass1hBRWmoYf+LFf383VtYdr+bvDgy+UyYiorKK5lq10enSue+stE6+wp2r7ciNaT3TiJCFjpvU WRJ1ncrWTyJkkhh70jARxaZK5baXhoK8OiIaPCZyrO1Y+NQLxfGCFiISigJWZfgTkdViqLiqJKo9 ls8P8DM/Tu3sbMGV1ignPjZ02Gjn9Bb/GZnRfNNZLS15eXXttpweF9zTp5fp6yr+8Z/zb9svRi2d mtBptOSpghNnZr1yqcM8j9a/ZOWtfP2kY6KkXveQXm9YfCrniWwtEUVFhj1276hO+vlnO67u1VqJ 6ME7kmaMdpl81AM3uf1rr11e8IcTb5Sb2i3f9m3p3L8fK7ZnW/W6n/d6w263P7Hm+k2vHFp+tL7d 8tJy1R2vHD94+kbvWwcAwJtYrazVau2zp5+WVegbibozjXSzymCPKX0To0PavukXJLb9iXa+1Gvn EyPrTW6iuqTJcSviMFn7i8ViP9s4n9XCeTKde+ej5h113mKOwXgikSyID7UF44aGS3KadfbcGEl+ 1f46PiumddZCQ5PJdh2aLCv//a3LwlvMLEvk/F04NrzjNWTp3aOkWypqiejTq6qHFpHyQi0/bYVE Ejh8XCfjxXqFPQ47d6U6ed1uV+twJpOViGJGR02VlHzwD+y/AAAgAElEQVSqY/nvb06r5fNQxyTI 7rawX6ma+RDZz2q7dB4hC0zsYgL11mrzuTERqS32M43WdH93HEnDSlXDWHc1N1uJSCyNmS/PP1do IDLlV9WnWPX8iah8cPC9yeyOvBYiy9lK5Qh/7ltb5pI4Y3hPozptqdKWEZEUGxDR9j1ff5H9M+PY DleZUqXtfrO6oK+7/uSWS1m220uYRRPjX74/s/9O6DVl1369u4J/ksPskbGbH5gYKaFrJ8+t3lVe ZuH4Kcn/tnyMwIMe0rsN9XXX//Z5ZSMRkei1e4cNcj9wXnDiwlNnGqkbkaXzTFMO7Z7ieZPbnzVX PvdB0SUTR0RpibJtD4xPiZVUXLjy5MfF2VprmUK9/pNzH62bGuBBP+/dht1vf35qeX6ueqHI772f jZqdmWjUVP/ngwvP5+msFtPDO64eHhw1DGPtAPDDx7JWhvV0xhhpWqxjqNtSX6xxtY765Vf2/+qt b77JzqvTeMNUvwPLucWMZRfcPZqw+eINx3QWPpGJtusACeOi+TQefr4FR1ZMhlw6JLEHIVq10tCd B9UMHhbO38NXVtFUUal2jFXfNVqW5GkOgEmh4ofWoufYcl4tp8vrivkva2LmJESkxfNnQNx3VfWO GTOmpod0ef+mo9p8bswN+5kGke+C4YmeVZuIqFTLj3wHjh1sywU7fKOhsryRPxG9e3DokLhgPrw+ Xq6tqmrkY7VOU/AHWGN10a82X3TEi4/fmbL55xOdzuFap+bQGSwuf4d9BD27kz3/Yt0l2+0Wgc+t mRwpEfGpUy9Ot52P7f5eWWVbt9c9pDcb1hbU2wf+LSv/fSJm3e6YdbuHOwXcj+08E7Nu94tZl68U qfgSa+saMp/Yw69pn+2UiHRT1u2OWffZ6W48E+rmt3/p6arPbIfp++K9Y1Jig/gEsOfusl0nPHul odA2o06v+3lvNux++7PmivftN8w8Nid5TmaiwJYBmMqP7lst+m/O3ehJqwAAeCmrlbNaWU9H2dPi g+kM/5fdeKqwevyQ9rmXmrKaAyUtBdSy93LdrMzG/62eyM/vVkFEZCpTaNs+dbK5ttE2QMvPMtYn +BnN+D/6V1XqZdRmZhtNk+3SsEQi4ptD7Nsuv9amSdXi6Q2qbVrMsvtqxYzRUR2/azVl5bvsmTyJ 8YFR9lBP4BO/dHTe59laIvazorLEclvWBD+9A0/kJ5QQ6YiIfD95bNrUob1/gGZoYsIK+fXnCw1E hpOXirNtY9Wi+4Z1PkGfT7C/7Zgmj43/ZO2kToMJwejUMGFOs5XoyxKlspnfhV9KsiyO9BlUnUf0 XYnKyvLxvWBxaudz0/HVHrQkpfjF60YiOnKhPqbJyneptBRpelePOJX42X4j4mPDD/zxjohOV05N kyUeUpYRnc3THGattsOJlsWMJn5892J+40F7esqP08N7dBGGiGyxWoWJiG5U65VEzvXRa432hACB o9q9oK+7/sTrl/k4SSjy/ddPRsybMrjtRyaICvHj+5SywdREZD8mTYnSNulTQrR/jx4eW1Vvu90i LsY/1On0z3HJS6ez2OeT6nUP6fuu1R8GpP2V6hZ7QlKbm+Cd5pdkDTrbFZ5e9/NebOi4071L6pLG UvukWM7XlMRSP8ed+42mzianBwD4oeiTUfbWeyKJaOuJig7zzbUcPlJWYHttS4CWpYam2Df539Uq 56kVa69d/689VJ0SH9TzEKcNq9WWWSPwCZlgz2/ee6G+ymlicn3d9Q8u2ALfESmBfEjklCXPGlpa cz3LaprbJd72gnOL7c0u7zipPGuu/9dHxfZGY342JtI56B49MpIfBztyQfFuhYmIhKKASWNaT0Ii UkPsY8ymnBvuRvG7KXD2KNvMJK99XcmPVUdFhqR3kbIfONR+h8KlAm15VxPeDxoeNoqIiPIKVTts 2cZB8XGBwXFhmTIRERWXqXfYjzR1THdyS0JmDrNFITpd01v2m3GXZIR3eTNfQozt676iuqmiq4f1 ytIiZ8hERKTTNW45p3OqoWxish8RWS3NW3L40zPfscm9yHUWJEYG2OujuXrB+VaLllOXlHywKRSJ k1J7eWLGmuv/+Z+rfLwYHCLZ9+jUBe3jRSKiSJnYXo3WZjGoVaeqbL8dU6O6ffM5EREJ7HOAVNbo lK33zrLNehcxVq97SD90rd6QpY04vXV5Tdt/fFbMQLW/093txvLLjisDpDe4eJ5Xr/t5v/6CCISM Y0znfF3r85v0dQY8ZBsAbjEsy3o+YwyJpSlP3R3hmG9u0eavD53Mb9RZiNi60uubX//6N+dsCR5p ieGTJ8UTkcAn/ucTbdH42Ss1T79/ukZjILJUXr26/oPr/Fi4UOS/LLOzybPd1ifI1z4SabpaoWTJ olY2E0nvGRPGV7K2ruGJf50oLFfzNXSen+GRsQn8FyM/UE1ERJZnDudVaAys2ZB75NQT3zSQx5xb jMj62M6LL+/JqVQ2ExFrNhScufDLv2c75qNMjJctuzPdefPoEYMWRPLfghY+Yhs/VJrklHEhlias HGmL814+VLT7eF6LmWXNhtwj2dOf2v/izlO552+0dPu5UUmjo8aLGOfdLRgR1uVXq2O2GZ2u8f9s rU0N5SXPvbL//i1f7Tl4gT9ee4Vj5svb3Co5JiFQRkQUNTtd4rx8/NCQTnNbnSowMXps+2X+d01O 6XJDpxMq47r3v7+QV8sStWhq3/vX4fmvfPlhVk5xab1T27WvoXxwYISPwPkZQLb1IoOSuhrgd30g oyLtD9WyPPLxueNnSsxELZr6I7u/22D/zVo8MaqT2Xs6ZfxsRy7f2YQiv/cemDB+aPvJN3jOzfLq F1fqdBazTv3ZvmL7bDbiKcM7v/DSnj01hawW/fMf5/B/Aa6dzPnjKVtyXYY8yHEW0use0osNk6dP rOkQXl95It2RUPXGyok1W5c/tWjEstXzOq65b67jQojk1NblNVsXT+rscx+w9o+zp6YQWf5y8DL/ 97DiwqW/HLPdxyyR+A9qrXmv+3mPN+x++0uHREyW2a4JvPdN+RHbr0b1ex8XX7KtKxgd3ftrjAAA 3oNhiGGoD24/nbhgwpa6bx/LaSSiRq3uFzsu047L7dYRivz+vnCY/c+nYMZdKXOvXDyktRJxu85U 7DpT0XZ15om7E8f0JDnbQRzoE0LEjxr95bPLf/ns8pDEyKyNM0fdmfHYRTX/7ZidVzcz72i7DRdM jJtln58hIlU6QnSD/zosKFNO+P3nvahJJ5xbjMi66avSTV+5mNEyOETy+uIRUe2D1IgFY6XbWlNm mZ8OG9R2bhC/OybFRl0qriWyWky/3nXl17uuON7bcqJqywnFfx4Uze3eZBRiafJPRxeeznFE2N1K B48ekfab4VVPX9GTi9ZuOVbQMLKw6ePfTLePeQdOSQ+lQscQMjMnwRZOpCaECLNbpxRZLI/o5iwo YmnC8uEF55yeXT9pZNjgbsS1YmnyE9NvnP66gYjKFJofvd7m/t1zJdrg7xq+fG6OYzq/Yalhkmyt 45FRjgko45NDE0nhSMC9e5i0d0O4oYnpz8ypW35IaSVq1OpWvp9L7+c6rxAcEvzkvBG9O/NWFRS+ ZM8GtlqMS9/4uuM6/F2SYmnyIxOvn87WEtGxS9WjfrvPeZ2lU2NG9vCZNenTE5ceqeWnWzl2qXrs peq27wsfnxDvdJGt1z2k77tWHxrA9o8ZPfhRedXzhS1EVFCmmvliu7+HzCMzY5xPAnrdz/vzFyRq 5dTwHVkKK5HVYvxZh1+NtMTw8RMGJtkJAKCPMQKB0OPEGCIi8l+2esbOOyPcBURR0sBPHpow2WkA KSAy5dWHhs6VujxhYNbPTf3NghG9q4p0yKD58W0mfzSaWQuRwCf8178Y87jrZxMyiyYmvLoq0/Gd LZYm/25OeMd89pGDw5bGdndmyU75L1s946O5UVEi148IIaIhg8I+f3y6y1G39FGR9tQXkkiCOs5a OGj0qPd/PMhNWpHwmUXynkweJxg3NNwxUNaddHAiIvJf8eORjsdUtZMYLX1zVaZzjkp8cqjTeUDr zCoRycFyp+Wj5d1/dKjfpIwwp0+w44mNO4IZ9479x0jXAVBwiOTDB8Y6T789aEzE+NYPUTQpIZJ/ JUuTjZE4VhPMTuz17J+CyYsmfujmlytKGrLv8SlDentX6+VLdWVdr2Wrxt0rxj6TIen4RlpixJ9X jO3p3xGBT9yfH5DPdvMX4LfzUhdPSXJe1Ose0g9dq88MYPsThTy4ajj/KKUOmEUT43/V9i9wr/t5 v/6CjJmb+a7tUUrtRUlD3v7FBIyxA8CtQSAgAdOzaQY64T9r2axzT03YOjtyvNR286ZQJBw/OGTr koxvn7ln0oj2Yyhhg9O3PTMna0ni0sEBwSKGiIIlvqvGxRx9ctZvF43y4MZT6bqfj/7jiGBHmdNj bNNGBkTG//7/5h5dlfJQWlCUL0NEfr6ie9LCsx6d+NbPJwa3GcwWTF404/B9ibOj+bvhmIzYoDeW ZOx+YnS86xtTe8F/5qIZ3z03/YO5sffE+gfbv9Wigv2Wjoj89KEJx/5wpzzWdX5qaGLCCvvl/tmj whJc5IoIRs2ecuLJUc+Ok8ZLhI6SV42LOfrkjEdan1PTLUmTBt1l/3LtTjo4LyAy/s/r78haknBP rJj/ThWKhCNjg95YkvHl07PbPeVElhY9J9IWvTnfbhscF323/QTM/iTIblfbntJDbk5s3BH4SB94 9K6jq1JW2XsmETNEFvDs3JQTf7y73UmUwCd6/lDbsQhF4vhhjrwIx3QlJJEEpnuUJ+0/a9ms758c 9cIkWUYw30q2DvntM3OGuukk3aA5W6Lrei07gU/4I4/ffXhF6y9FvDTghQXyrPUzOlwI6paoocPf +/2sXQsGOXoI//t4+MlZ6xe0v27Q6x7SH12rjwxw+wdEJv3td3d/sSLJ8RdYKBKOHyzdvXr8W23m q+H33st+3s+/IP5zf3LHd48P/92IEPsfOluzfPvMnDRM7wgAtwpGwDBChuE8moscAAAAAAC61tjY yDAMy3b3lkIiSn+9ZkzZOyIfj5+wDQAAAAAA/YXjOI5FyA4AAAAA4LU44jiE7AAAAAAAXorjWI7j +mCSRwAAAAAA6A8sxzFIjAEAAAAA8Focy7II2QEAAAAAvJaVYzkWuewAAAAAAN4Ko+wAAAAAAD8A CNkBAAAAALyUUCgUCgQI2QEAAAAAvJRQKBAKhQjZAQAAAAC8lFAoEAoxyg4AAAAA4K34iB0hOwAA AACAl2IERAzh6acAAAAAAF5KyAgYhsEoOwAAAACAl2IYBiE7AAAAAID3YhhiCIkxAAAAAADeymq1 MhyHUXYAAAAAAC9ltVo4lsUoOwAAAACAl2ItViIGITsAAAAAgJeyWq3EIGQHAAAAAPBWFouZIw4h OwAAAACAl7JYLBxmjAEAAAAA8FoYZQcAAAAA8Gr8KDsmeQQAAAAA8F4ch5AdAAAAAMC7IWQHAAAA APBqCNkBAAAAALwaQnYAAAAAAC/FMAJG4NmjlNRqdV/VBgAAAADAy0ml0pu8R4FAIGSEHoXsN7/S AAAAAAC3EYGAEQiQGAMAAAAA4KUEjECAkB0AAAAAwHsxDDEMQnYAAAAAAO+Fp58CAAAAAHgvjhiE 7AAAAAAA3s6jGWMAAAAAAKD/sBxHLIeQHQAAAADAS1lZK0eePUoJAAAAAAD6j5VlOWIRsgMAAAAA eCmLlRNwVoTsAAAAAABeimVZDrefAgAAAAB4LZZjGRa57AAAAAAA3oplOWKQyw4AAAAA4K1YjiUO o+wAAAAAAN6K44gjDk8/BQAAAADwWgxhXnYAAAAAAO/FMESEUXYAAAAAAK+FkB0AAAAAwItxHEcI 2QEAAAAAvBZHHIeQHQAAAADAa3EcR5gxBgAAAADAa3EcSxxG2QEAAAAAvBdHDEbZAQAAAAC8FkcY ZQcAAAAA8F4McUQsQnYAAAAAAG+FUXYAAAAAAG/GEDGY5BEAAAAAwGsxDDEMJxroagAAAAAAgGsC BqPsAAAAAABejGGIqI9G2Zt0JnWz0WxmDSZLnxQIAAAAADCwfEQCsZ8oOMA3NMhvoOqgyL3GkMDT kN3KclXK5iadqU/qBAAAAADgJcwW1mwxNelMKq0hKTZYKGBufh3E4hCGEXiaGIN4HQAAAABubQaT pULRNIAV8Chk1zQZEa8DAAAAwC1PZzBrmowDtXePQvZGPeJ1AAAAALgtDGDo61HIbjDiZlMAAAAA uC3oW8wDtWuPQnazhe2regAAAAAAeDMryw3UrjEvOwAAAACAV0PIDgAAAADg1RCyAwAAAAB4tb55 +qk7DEP+QotIwAoFA5b6AwAAAADQCZZjLKygxSJkuQF4WFJ39GPIzjAU7GsyWIVGi4+V9dLjBwAA AIDbnIDhfIRssK+p0eTrnVF7P4bsASKLySo0WoT9twsAAAAAAA+xHMOHrP4iq87cv0kovdOPuewi AWu0IlceAAAAAH4ATFahj8A60LVwrR9DagHDeeeVBQAAAACAdjiOGG8NXTEKDgAAAADg1RCyAwAA AAB4NYTsAAAAAABeDSE7AAAAAIBXQ8gOAAAAAODVELIDAAAAAHg1hOwAAAAAAF4NITsAAAAAgFdD yA4AAAAA4NUQsgMAAAAAeDWE7AAAAAAAXg0hOwAAAACAV/O6kN3YqPvqTPWPs8qG774xfPeNuZ9X fHqxXmfhbn5F3j5cPu9wdVP31r52rpqvcId/5deqjW1LM759uPzR7Fp+Q5266cPj1XX9dRQ9xZ38 rnLknoqyRkt31q7Nr7UfYN/QVKqW7nFZIHftXPW9rj6OhhvK2Xsqa1z3kKZHd5dfqTTcwpsAAADA 7UA00BVow9io/cNxzSEjNyZU9H/hQiLuq3rzHwubdynNW2dFh4qYga5g55ilUT6DO1QyWCwgYt1t U1ba9KLSelc/16ybmpXqrdUWlqVPCjUbMsNv8t4bKlRPnW8uZDt+yuy1i7Vrrpukwb4dt6qoNw0K F8naNrtJp/3DscY5SeJYCVNSr917TTk+LvhHQ0NuvU0AAADgduBdIXt+YfMhI20ZIb0z3RaRPEjs pRzFqlJjdmHjfG8PU5ifDJENjfVz+d4j9yQ8cpOr03PXy1quC0WbE5k/VhoeGM1F3qxzJKvReOlq w4ZSYx1LRG122lTf+NmVxn8oLSyR1MWmxtMq67yYgHaxvK8kaP0Iy4GSll066+lq8+/iA8alBN2K mwAAAMBtwbtC9nojSyQYnu4cmgvSMwLGlJpONhrn2xdpatTvXGn+SGM1Eo0J9dk4JHh4siOIsVy5 WP9KuemcgWWJIv0Ea+MClo0N9yMiMr59uPZ8oO9PGOuGKnOIn+g/M6ISQ31qS+vfKW7Z57o0UhTW PVVk+EbPBvkIHk9wFNVTxrcP135Goo/viXWOtr7Krnii2kpEd+6+MS3W/19Tozo9Otf17011XGEt zTsrLSviJJMTBYNKG78r0C4eFkpERNyNvLpnio3nDCwJmLHBor8MD0uO8XdVgunSJdUz5aZiMxfk I3ggRvzAuIggW9zfWSEFV1UPXDcNCfL55yDhT/JNzu22I1fzeiP784SAoRbjm83t96hv0B9ppOdG BHSoiyAyxt9aqFsY4XOmgY2UBgT5CW69TQAAAOA24V3f/QmBIiL29OUGq9NCX0noB8uT/j4pkv+x urBu6SlttlXwzwzJhxkByVbrT3IavsrXEhERd/5s7U8KDQlSn/8OD3xP7j9aRC9cb957qcFR2imF 4RUNvT1c8oc4P1moT2V+7b05zccM9IJc8p7cX2ywrDqnzrPnUlc2m356xTArRrxzuGSBmF643nz0 mrYPj3dorOT5aBGRYOvwwA2xAV0dnYv692h3tfm1w3ffePucyuW7JdeaDpqZRYnBgREha6KEW8p0 aiIiqsqvu+9KS1iQz/bhgduHiK0tlsWn6it11g4FGP97vPZnpaY5MeKdwwOfiRF9Uqn/+bEajYXr shChgPl9iuR/c2IjfNqP60vFwg/HyTZMjBS7qnN9jbHeXxjt6sqGqkZ/Q+izcVrMq/HCC/V68624 CQAAANwmvGuUPWVY6J8b6v+Q3/hcUdM8mc9cmW9ypCQ60t/pxKJlZ3FLQrj4zalREhFDRKOHW8Z9 U/O3kuax6SFS0h+qtc6N9f/j1Cg+u2DkEK32kPqbJvNK+/YsK3xjWlRSMH/gLW+XGPwlPrvvjuUT iEcka9Yd1R6pacyIDSYilmX+NT58TFIAEaUlaEsOqT9VGX5EIX11ohOTHJamNhBxaRnhUV0fXcf6 96GWzypN46P8EiN8iWh8jJ/uQsvVouZpqYH5KpM0yPcvs2L4ax+bg5WrzuuLKnRx6cHO21deU29S s9szZZnJgUQ0gigzSrn8rI7PaOq8kLTRMWlERNRhGN1vxcxB7uvMFWksU8N9w1y9F5kU/vckIqIx 42PH3JqbAAAAwO3Cu0J2gch/xR2Dpt9QHy5r+Uht3ldnorzmIB/BX+VBs4ZKhUTaSt0RHTctlEqK WoeKWQFTp7PWVBulsZKnF0icC/SViCcECk5aOBMRH8QnBAtl9ni3WaE/oePuSxE7bvjzCw7dtpTP BjESUVyQz+CkAOeiPtNbdURuUonZFdk17Q5o19Qod9ntHXV1dO3r31NR6VFX0l2/VVfUtEtHr6YG 8q0UmRq0oqjl3erm8amB4X6CymrzJzl1i+XS8GCf8OSIL5M7FsBdU5n9RAKzwXA5zzGrCRdG9Lna MJ9CuldIT+mPKa2z012k6NwemwAAAMCtz2DQMiTwrpCdiIgEMUmyB5PoQSJ9o76qsvmDcsMTV7W/ NrBrx8oMzdZKoo+qDB9Vtd+srtk8lPyIiLVY1fW6WrWxpNFyWGX+RsfGEWu0h+zO9I2WEqIh7e/3 c6oK06PMIRczxgSLe1BAV0fXZ2nrHUWmRp5JdV7gv2FeIv8qXR7083rN5lL95lJ9pJ/gx1F+ixKC 49rnsptK9VyLhX3oSvuB8iE6a3N3C+kZ5XXdMavwsSGBt+cmAAAAcDvI+vQ9Pz+xF4bsrQKCA1KH BjwjNw4+XruptOXesbblW0bI7kx3OdLNFVxS/LLIWMeSn5BJ9hXcHeEjYE1FbsrnWPeTL/ZGZzPG dJ/7o+uz6c97xC84+Ldzg9ZUac/XtHxQY/5XecvWcsOWEaF3prefwCch2Lfd/bWtul1I91U2mId0 mBLx9tkEAAAAbh9edPtps6Lhx3tuvHhW2W65QOQ3RCJgWY4j8hELwonONrl+oEyzUv10gVEeLv52 fnzu0sRPFsQ/PDEkxv0eJaGiIUTF+jZTlGz7snz9CcWAPLGm86MbUEzYoNA7M2PeW5iQfUfIHT70 VpVe32YFUbSYKW+0ql3cltr9QnrE+H2DdZ7Uz+0lklt8EwAAALiNeFHIHhjtP9mf2VHeklPS5Dz4 3VTb8GGtVS4VSYjCkgIXSph9VcbK1sdzWr48UTn508oyjVmnMhcSLY0MCAsQ8u/Vleq+bHH75NTA 6IDpEuZjhUFlf96kprJpj5ZNk/i4nJ+kv3V+dANRIyJqee+rilVHaxz5LpJQ32gX12aE4yJ8BGTd n692fHaayvp5u2+8lqvsdiE9wE+JOCq845SIt8UmAAAAcFvxqsQY/zUjA7PPND2Yq4q8olkaLgok uq6zHNRYzQLBR+mhgURE/vcNFn9yuWXx0ernUvwHCbmvao3vN1gfSwmKD/XRm31GClqeztOYTcYE X8pXmTbVWkhI7uNvW2kPfFn1hwQ/P6v1r9cNaj/RwrRQIovbjfqUn4ghYj89Wzs7PCA1OaiTo/M8 MaY2v/bOyy2PpwQ9MlbW7Y38J4YJNxUbn/yq6sEoXwlxR2qMO1voDbkkgKjJab1YechjlaZ/ljTn NZnXRPmodObXy41qP9GPU6VEok4K6Z2OUyI2Vavuy25KsE9vf2tvAgAAALcVrwrZKTRO9oHE9+u8 ph0qy7+rjCxRkI9gSYx4zbCwGKktayAuPepTv/p3ilv+XKgzEsWJhZuHhcwaKhUQBUaEbR7LvpKn f7pQxz+v573xMlW15tEqq1ZnDZK42KOjtF/n6cwC5p5wv7fHRERJhDctZI9LkvxCYX7zRssXauuH yUGdHN1AyRgTvVtU9/cbpl/m6ViiIRLRh+PCRg5un7IuEPmvnR2VnqvaVGP6qdLoJ2Tukvm9NVIW EyzqfiHd1tmUiLfBJgAAAHB7YTjObd5Il66WuH4oD08qNqoNnt6LCQAAAABwc3QZvg4b3P1UhfYa GxsZhmHZHsx+kv56ze5Z9X5+PZmCEAAAAAAAbj6E7AAAAAAAXg0hOwAAAACAV0PIDgAAAADg1RCy AwAAAAB4NYTsAAAAAABeDSE7AAAAAIBXQ8gOAAAAAODVELIDAAAAAHg1hOwAAAAAAF4NITsAAAAA gFdDyA4AAAAA4NUQsgMAAAAAeLV+DNlZjhEwXP+VDwAAAADQVxiGOG8NXfsxZLewAh8h23/lAwAA AAD0FV+h1cJ5aQZKP1ZLbxEFiCx+Imv/7QIAAAAAwEMMQ75Cq1hobbGIBrourvVjtTiONEa/AJHF 38/IMP23HwAAAACA3uM4snKCJpMPy3lpzNq/ZxIcRzqzqL/3AgAAAABwC/PSfB0AAAAAAOAhZAcA AAAA8GoI2QEAAAAAvBpCdgAAAAAAr4aQHQAAAADAqyFkBwAAAADwagjZAQAAAAC8GkJ2AAAAAACv hpAdAAAAAMCrIWQHAAAAAPBqCNkBAAAAALwaQnYAAAAAAK+GkB0AAAAAwKshZAcAAAAA8GoI2QEA AAAAvJpooCsAAAAAAACuqVQNfn5+CNkBAAAAALxUVFSkWCxGYgwAAAAAgFdDyA4AAAAA4NUQsgMA AAAAeDWE7AAAAAAAXg0hOwAAAACAV0PIDgAAAKtI9KMAACAASURBVADg1TwK2X1EiPgBAAAA4LYg FDADtWuPYm6Jv09f1QMAAAAAwJuJfQfsiUYehezBAb59VQ8AAAAAAG8W4P/DDNmDJL4SMQbaAQAA AOAWJxH7yEL8B2rvniajx0cHIWoHAAAAgFuYROwzKDJwAHPZPR3eFwqYpNhgldbQpDMZTBYry/VJ tQAAAAAABpZQwIh9RUES39AgvwGM18nzkJ0nCxHLQsR9UhQAAAAAADjDLI0AAAAAAF4NITsAAAAA gFdDyA4AAAAA4NUQsgMAAAAAeDWE7AAAAAAAXg0hOwAAAACAV0PIDgAAAADg1RCyAwAAAAB4NYTs AAAAAABeDSE7AAAAAIBXQ8gOAAAAAODVELIDAAAAAHg1hOwAAAAAAF4NITsAAAAAgFdDyA4AAAAA 4NUQsgMAAAAAeDWE7AAAAAAAXg0hOwAAAACAV0PIDgAAAADg1UQDXQGAHwCDwdDS0tLS0sKyrMVi YVl2oGvUlwQCgUgk8vHxEYlEEolELBb3SbG3dqPBTdBPPRMA4IcIITuAWyzLNjU1NTU1EZFEIgkL C+NjCIHglro8xbIsy7JGo9FkMtXX11ssFqlUGhIS0uvSbodGg5vAw57JcVy/Vg+6iWGYga4CwK0A ITuAawaDob6+XiAQREZG+vr6DnR1+pFAIOCjaolEIpVKTSaTVqstLy+XyWQSiaRHRd0+jQY3Qa97 JsdxDTrzn/YVnyhSX6lqumkVhnbiw8TTUsOeu3dISoQ/AncADyFkB3BBq9U2NTVJpdKexqy3AF9f 34iICJPJpFAoTCaTVCrt5oa3c6PBTdDNnslxXKmqJe21U9FhwYGxgeMGh93keoKD0Ww50dQif+3k sdUTZqaEIGoH8ASDS4cA7SiVSrPZHBkZKRLd1ue0LMsqFAoiio2N7XJlNBrcNJ33TI7jhrx0Wicg zi9A1WK1sviOGzBCASPzF/qajb4Wa/HGSQjZARobGxmG6dHNXemv1+yboxGLxfhyBWhDq9UajcbY 2FjkXgsEgtjY2OrqapVKJZPJOlkTjQY3Uyc9k+M4juPK1bqw8LC6RstA1RB4VitXZ7aE+flWNdTx 44OI2gF6DSE7QCudTtfU1ITQ01l0dHRlZaVYLHaX7oJGgwHhrmdyHGexWjRGIsxR5B20RpZjWY7j EK8DeAIhO4ANy7JqtTo8PByhpzN+RLOystJlyI5Gg4HirmdyHEdWMpmQD+MtrFaOrJjAB8BTCNkB bJqamnx8fDD3c0cikcjf31+tVne84Q+NBgPIbc9kiawDVCdwCVc8ADyGkB3ARqvVRkZGDnQtvFRE RER5eXnHkB2NBgPLdc9kESN6GXwcAB5DyA5ARGQymQQCAUaL3eFnyDYYDM5N9INotCKlPjUiYKBr Af3FZc9EyN73LEYS+fV+c3wcAB5D+ikAEZFOp+vJbOKqtS/lMm3/rc3ry/oc/CyX+UzV+nPedeal 3PEn9Y4FRSevMturinpcsGptb6saFBSk0+mcl/Sq0a4fbLNQv2l7x4UuNuxVnfWbtueuKui8ENXa l65uUvai8D7ZvA/1/pP9oevYM20he3f/aakst/Wf1tjDzQfkn5FqcttUuyyXamr7dBdaKssjk21f meGBnhYIAJ7BKDsAEZHJZAoMDOzRJmsWjXs3w/5D3nUm6+rQ8GHrI/qmPqkyMRUaiohSiYjoYKFm TXroNlULET9grP+80JApl6b2zd66xd/fv6GhwXlJzxtNnBmh2ZtH8xztplTvJHFmX1WxN2Tvbuxs /sp+3hz6QMeeSdZu57JbakkhObDr4Xn2BUUH9sk/CSFpSJ/Wsc8FbvrHw09Gt12muDz+T005QR6M hbcRc+Cj8QWvFK6vDtz0j4cXXL4k/8KDwnBrAYDHELIDEBGZzWY/Pw++6jJiXv0ub2eBfn0Ebdpe SnLxhmwNkfjV1cPWR+g3bc/bwA/ERkQXrh6USnTws9z5lMQttkV77X4kotS00MxsR8iuz1eJhy4M XbNdc3CxbB4RUcs1pXjlQlv43rH8TpfbKavGb1fkpLfZbyd8fX1NJpPzkl402kp56IZC1bsZtj0W FWhGyUMvKg1tqmRfuc1JkYs6d36A9neVeYwqiVtMRESqqvEv8eXzHw0Rqda+pBi6etj6CCo6eVWe zdfE8W4rNx8ZOTZ3VR/9pu151yaPezfDVvNRi8a9m0FFJ6/KC0PbVFhZNX67ZuVUvtsQpSdxcg2T ZX+9WNZu70Unr8pV0S4+OBcH6LJiXe/R7YZt97f2JcXQRaE7s/idhh7YmDLP+ZOyr+f0UarWvnRj G1/DqeIN2WTfpMt9udWxZ3b79lMjBcUX/nNE0c5c5jS/JPzAliVczHfMNv7r0Uh1V4gv2zeOIqOI +Ci/gUICSFtPRCQZQv4aqre/loYQaamymsLDqL6SL5PiEm07tNSSorJ1/+HjSMzvpYT8+QIDKDqD RK7228HB/+bOz3X8FLDpDyN2LMmWH7YfmssSmvJIy1+s43dERFqqLLbXhMhQRvXUWmGrkWrKiRtJ hutUH0LSEFcldANG2QE8hsQYACKiHj2KzJ1RMj6GNmwoFBduHMdttMXrO+UZ3MZx3MZxhXKNfHtV EdE8eSjla+zZIKq9+bRG3jb8ipCujNDs5fMclOqdFLowwn9o6xLDRRKn28PEjuW7X25njyC7Ga+7 1JtGSwtd03rg+s8LxUvTHO+p1vJV2jiO2zjuQDpty2qbMNOmzl0dIAWsX53xagRlTs1wHOO2bMOz tsINGz5vu37edXm2+MDGcdzGcdwi8Ybt7XN1uvrIXNYnYKFcvK1QRURUb6AI8UWVnoiKVC6vkBg2 qEK5jeO4RaGUf4MpDOU2juNWR2fmKzYp2+1d/3mhoX2HcXuA+k3b8zbIkmytKlM4NVRne+xGC9sL ybLttHCqYb4tx8ndR6la+9KNi1MzuI3juNWhO/mzBbet54FupmqYuE2PjaCv8uafciysn/8/LY0d uymJiDWSonbT5oe5PQ9zex7mNsdnKmqJJYrPKNyzcNPymbblvxFSpuO1P5mI2JgDexZuGikv5Bfu mbi6osyWahIQb1/4MLfn4QMj+eWBmzYt3LRsOrfnYW7P8k1JRlLUbnrNvtprybb9tvvHEXHOS/Tr v1CkjonNZO0171iCvixzyb32vd+7KYDfe8yBPQ8fmGIvZ8oUbs+U1Y5UFk666Z9Lnoyh1IVLuI0p bkpAYgzAzYCQHYCIyGKxiEQeXHTKq9mgFA8Nt/3UGpDl1WxQhj47zXb7Y+q05FdJ8VIeUUboGrLH 33mabRS6tN1wMgWky4iP8KjeQHJpKgUslNtjvgJNTnrovE7Kd7fcRrV2u4KmZrQfw+6UQCBoF6P3 qtFkS9OdTkVkofOc3np3Y+uw+jx5aNsN29a5iwN0bc0i2xjwPHkoKQ1ug8KMFM4xWty6sNOPzE19 UmViUhmKiIpUhlEycY6qhUifr3Kc3bWtHh+FZ4SucbyOEI8iw7X6tntXqncqO3YYNweoVO9Uhh6w n7TMW5y0RtnaUJ3tsdst7Nhp6rRoeyXdfJR5mm0R0Tv4MiMG7Zhqv2G0V5+mQ8eeaUuM6fJfTNSC mOb9Ofo2C7OLmXVX1pcSGblNm5c8WV/GrMtl1uWuqR9xdnN8po4fvw95clAzsy6X+VBFY2dyE5uZ dbnMSxVFY4duirGv8KuIF9flMutyxx+TbtubuVpHZE058PKIog9zbQVeonm/mrLaal9/nHn8ulxm 3ZX1ecZNm5csuJrHrzb+avLZ1+z7df5H9osJtn9aajIR40dWIp2bEqZMObuwec26XGZdLvOh9cmX 71zdsSjWqQGJyKpf/5dLm2uo6NAl5s16tyV05x8AeAaJMQC9tC0rd1uW46c2qRSOgKxIZSAyzH8p 13nDTJWeSLY0/cb8QtW7GbKDhRpKT2ofIBLNk4fOL2whCjhYqBklTyGi1LRQ+lxdNC2gSGUbZHVX fhG52y9f8xtE4lfTBmYelVQZf+IRUFSgIVkykaHt+47ECSJqjdrb1dl9w/b2oDJiXv0ujy/QRUIO Uecfmdv6TAtdk6UpIiIVDZWLM78zFBFdcx1wt57ytX3dfu9FBZqc9OiOHca1ekNOhNhpRN9/aATt VOkpvIs9druFnTe0F25bp/1HWaQykCzUUZlUmbiH++q2bg7rDgpMpeYrpe7ejVoQq1zzXD3/0/Y3 ipf9a8Szk0/NryUiOniunliik3UHfyoj/nVpcxHFpw0iqiYiOvhe8XaWiChnV/XB2UOWTa7cnls/ /9F6Ii1VFxPR9uMR20b6OupZdFGbw7+eLH8ytnzNoyf45TmvlW/+15JnJ5+an9shCa0pl1qzbNIO bE0o+iovh3VfgtCPqIkqc4mIjhJz0lWLOf9P9oF8x4tOSugcRtkBPIaQHYDIPlDXo0d4ugnsOnCT mDtPHkpZmoOLaW8+rVnkKjslXJxpWyF0KZ+KHSEepdQU8antjjjJVflFJ93tt8VWc7rOfF61sCcZ wx31otGo9cSDPi+klQsDiNT2d2wRXubUDG5aAOVdZ1rPiFzVuYcZz10JWL963Ho+ST0rd1uWi3T2 Lj4yN/UZGqHIV+pJJU7PEI/K0hQp6WKEeGPP6zdvSnTmds3Bxf75hYY1k2/KPa+9b+HOPsq+3pcr XPdiRIGQyESmdt+ERrL4kYhoUGBqTfOl1nL0BTW0IC6QaoioqaDcsQvn145dOy+0b3i2nmqKidIO fO6421XRGrJX6PnXmXHBREHbsh62n+0QERUlS+msntqa9+uHuV87/Xy5jPlY31kJuxSb52bwyw/+ 89/zjwRQhD0Z3Tk0J6fDYdu+Pum+hM7hyacAHkNiDAARkUgkslgsfV5sqkzsNgGDT3U4abjoIiuG iPh0dkN+nuFi6yipbGm6Zu9JPrW9s/I7269t7zGvkmLVyfZBQCc6psH0stEipCtJ83le61HY5Gm2 RUQXbhx3dpqbsVWnOnd9gL01b/E4bmPGqxGGnQUdGsf9R+a+PgEL5XStQL2TxKnkPzTCkF/Apzn1 HH97w0m3WTGuhYsz21Ss5ZrSdVpOO91uYcO1+g6Fu/koHWlCvCKVoYf7cs1FglY3s6urzEUUODym 7ayOZi4zOJdaiARC4qxObxmJI2J8bNEn5xTOch1CW2LJ0mHDltADnz/MfT4z9UgeszaXeVfRWlXO qdoMQ9XF49fmMk7/5B/pO+ayH3zX9u6ay0RUvuap3K5K0K//vW39eb9+mPt84Sb+2J0brd1rrl3e vJsSkMsO0P8QsgMQuUyH7RMZMa9GaOY77qXLu860TuMt2zhVvC1bYctKdyEgXWbY+Z3GOcJLlYkv FjotcVd+Z/u1Fb5+cmhOdmn35xRnWbZdYNTbRgtYKKcNWQoXkasjblNWjc/SEBny3dW56wPsobzr rdPDK9U7leKVLhKH3H9k7uuTKhNvy+YPNiBdRjsLNd2JmF0JWCjvvMO4EiFdGaGZb5/j/+BnN7ZF RG/sTsTf7RZ23CXcpnCXH2WbE0XVS9n2nCjPPs2OPbO72dXXtfsVIQsya6nR2JoRHhS847WHD9xB VGEuivUd2aC1vdWgT4ulomp9a+pIx0Rwx2sKSZOWtd9weuy8quLxv8iV79CTqZaaTERWMrUvJKfa TLG+I+tqbZvry6gqz7aam1z27Zty11xK2HYgc3WDtrMS9GVUVcavz/wse3NVyILpUrL6EBEZ+cM0 kt7U2oCth0PEOYrqWAJy2QFuBiTGABAR+fn5GY3GfniQZ8D61Rm0PU/+koKI2qW8p6aFZmYrRrma +oM3Tx46P0uzZnJrhJeaFkrZilGtS9yV39l+bTJSDhTmzu92ekxLS0u7KR173WipaaGZ2Zr2MTFf H1tCc+iBjUl7X7pxrZ4oosM6n1ctXD2o6wOkgIVy8YZsp0keO9Fm77Rm0TiXU+y7/8jcN3hG6Jos DckCiChVRjn5oc/25K7f7u29E7aKMS/dIOpR/kk3uhAREa1JJ1u7OQp3+1EGrF+ddO2lPCabiMSv Tg2lQv4KUnf35VLHntkaaHZBv/6t2gXPLink9snf5k8R0g4cHpF6sUx+nIi0+xUZ254u3f7HXCJa /deH5ylqxx8nSuywC1ev5z05ZfU9WdudN5zhT4NMI6tzc4hIPrvwyQQi7fBBRFVtCzmu2DwvY9u/ tJd+8V0OEd0zn1sfvvkvV9Z3zLl32u/2V8qW/Tdx21Ol21/Qui0h/k5urXbNPYe2E5F88oJBxv3/ 1pM1oEBBT44XUlYuUfymF6YQKdoejg8xRMbrpA6hBS5L6EZLY5QdwGMMxyHFDIBMJlN1dXVSUtJA V8R7VVdXh4SEOD/uFI12symrxm83PNtxNpsBo1r70g3q5k0dHeVdZ74Te57C7twzOY6zWq0+9x0l /+4/1Sz8wIeJrY9S+iJP/j9HTlTAplcybE8sUtSO/7/KHCJKjit8PnT/n/gYOvzAh9EFra8T6Z3c +d8EHPgwg85p540NabMh0er/G7dtNF+yds1PNcvs6296JSPt89z535CL/ZJx8586xusdNyGaOYR7 KIQulDGv1LsrwakCdPAdx+aOFjBufkez4CHxiz8t3u50aJn3Dz/7Iz++ZDcldKVFaf54jlAoZBim exsA3JoaGxsZhunRBer012v2zdGIxWKE7AA25eXlsbGxHk31eOuyWCyVlZUJCQntbjZFo91MRSev rqJkt7n+A6CHIXvedSbL8KrTk6d2yjM8PJx2PdMWsv+4RyF7nws4sDOD3syd3/0JVW55LUrzJwjZ AXoZsn84VSH288MXLYBNSEiISqWKinL9oMHbnFqtDgkJ6Tg5DBrtJuEfJhoRXbjae+L1nstIKVRd lW/P3UBERJlTPY3XyV3P9Ib7Hbs5a81tAk0B4AGJv1gsFiNkB7AJCQnRarUmk8nX13eg6+JdDAaD TqdLSEjo+BYa7SaJGHR246CBrkRHsnc39my6ydRpw7hpfbZ7tz1zgEP2ACIiIeJUJ2gKAI8hZAdo JZPJFApFXFxcT+cav4WxLFtfXy+VSt21CRoNBkRnPXOAR7jr5y+r73qt2woycAE8hpAdoJVEIjEY DAqFIjY2dqDr4hVYllUqlf7+/iEhIe7WQaPBzddFz8Ssgt4GHweAxxCyA7Qhk8mUSmV1dTUCUD4q IiKpVNr5mmg0uJm67pkI2b0NPg4AjyFkB2gvIiJCpVKVl5dHR0fftinaBoOhrq5OIpF0khLjDI0G N0d3eqbIV2SxWokR3uS6gRscg6w5AI8hZAdwQSaTicVihULh7+8vlUpvq0kMLRaLVqvV6XQhISGd 5MN0dDs3GtwE3eyZ/8/e3Ye1cd15w/9J5tUvcdwkbu0AAhkcx6V1d8PjLiaGLLZZkjQkMUmdFzl4 o238XNp91tRJusHrDSG3L7y98eOb3mnUkl3SuAZn3ZR4H2WzprKjew0GNm7S1K1DQgAZScQkThps Y4PAYub5Y/QykmY0kpDQSPp+Li5fZnTm6MyZn9BPZ84cKRSKnG8sGrFdZ5RI2WVByUzfcksmlncE mCO8pwIIW7Ro0aJFiy5fvmy1WjMyMjIzMzMzM1NSUhIvE2Vcrl27du3aNYZhli5dGt7tpMnTaTAP wotMhULR+T8KVz9kpJSFlLF83loLAthZun6JaOrAD76LlB1gjvBVSgDSrl27NjMzMzU15XA4HA5H rJsTYUqXzMzMJUuWpKSkRGTtl8TuNJgH4UUm921KFy9P6VrffeeDkaszWF8wZhZnpN6Wtey1v71z zcob8T1KAIRvPwUAAOCwLMuyrHuEHu9xMaRQKNyfuxQKBVJ2gLmk7LhaDQAAiYPLCxcsWKBUKrn0 PdYtSl4KF3KdFwAIG1J2AABIKO7sEGmiHOAsAEQEUnYAAEhAyBQBIJFgqVQAAAAAAFlDyg4AAAAA IGtI2QEAAAAAZA0pOwAAAACArCFlBwAAAACQNaTsAAAAAACyhpQdAAAAAEDWkLIDAAAAAMgaUnYA AAAAAFlDyg4AAAAAIGtI2QEAAAAAZA0pOwAAAACArCFlBwAAAACQNaTsAAAAAACyhpQdAAAAAEDW kLIDAAAAAMhayhz3ZxhmfHx8ampqZmYmIg0CAAAAAIhHKSkpmZmZy5YtS0mZa47tW/NcdmYY5sLY Z//nk0v/8YfPuwa+jFSbQFLPM3eUHHg/1q2QkaTtkKQ98PmB7o0XOFMQBoQNRFz2TYsqv/V17Z05 10ZHs7KyIpu1z2lizPjE5Ntnx140fIx8HQAAAACSme1P1/7lv8wV/2+PIm3R+Ph4ZCufU8r+3/02 08dfXZ2ejVRrAAAAAADi15Wp6/r/sly7di2y1c4pZb95kXLwi8lINQUAAAAAIN79+/ujDMNEts45 pey3LE4du4y7TgEAAAAAnK5MXY94nVjkEQAAAABA1pCyAwAAAADIGlJ2AAAAAABZQ8oOAAAAACBr SNkBAAAAAGQNKTsAAAAAgKwhZQcAAAAAkDWk7AAAAAAAsoaUHQAAklBem/7hMf2dj86xGtW6Hv3D Y7o86Y2QCBA2EDMpsW4AAABAXHpU9/DBwqA2ArghbCA8SNkBACChqdb1/MNqtfOXsd26068LlVr3 0N2d5Yu5/7/T9oamN/Duyxpe2PzUcjJfvKpevthVVHAjxCeEDcgMJsYAAEACy2vzZE5EtOLgC+vW +RV6VPewO/Eiok2ah3seWia1+9VXfvxGiXHCuybBjRB3EDYgOxhlBwCAxKW6IY+ILn5S+cLZs6Jl 1v1dIb/MsoYXNj9V/s1Hf336ddHdx+tfOE5EdKvkRohDCBuQH6TsAACQuCxXzhOpl6/u1K8mIuEZ DrcuURORpwxnyRpVcLtD4kHYgPxgYgwAACSw85off2L2/LrioP7uBtW87Q5xCmEDsoNRdgAASGiW syU65/SER3UPHyxcvOpWIguvwKcTZlqhFpsFIbk7JCSEDcgMUnYAAEhcXgt3cMbe7vUuYzn703Or DxZ6z3DgUrFgdofEg7AB+cHEGAAASFyWsyVeUxSuvvJjgVnFr+vf2H2O97t76DS43SHRIGxAfjDK DgAACY03RYHnvEZ3nv/76/o3hJMq4d1dek+v8B89FdwI8QVhAzKDUXYAAAAAAFlDyg4AAAAAIGtI 2QEAAAAAZA0pOwAAAACArCFlBwAAAACQNaTsAAAAAACyhpQdAAAAAEDWkLIDAAAAAMgaUnYAAAAA AFmL3refLmt4YfNTy4mIzKaTJb8e57aue+juzvLFRO7v9fUU83LuvRX6835b/Sr3KpbXpi/a5Fty bLeO+5ZgwUevvvLj4/WWAHXGI+EufaftDU2vQCe80/aGxvl1a9yj7h4j2nDnmGaFd5lgn47OjbxT mBuww70awwsSv2Y4n4K/JSTz3CGB6xQq4/6Oa/HWhhWWsT/woF6AtK7nH1arvTohQIVBvmZ5+3pq lqwwJDJ5ob23Qn9JvB989gr7YAFgrh7VPXzv7wO8xgX5vyFC8or2KPtV80VSF+asc/66bGvh4gjU qsrZzL0JFd76qETRFQdfWLdOokyodSaUTZqHex5aJvCAal2PdBoRrg13jnnnNOryzWO6vEg/TTii 0SFedarW9fjkc8tXd+rvblCF1dzIiU4kBP0CDIPoa9Y7Y16+ulMGoRXFF5pYP6jW9eh9svzFT/3D w20bwnoWAJiDR3UPHyyMdSMgzkVvlN3p/MWr6sIla4nOEhHduGo5mc+NUeEKtfPx8foX3qgnIpXY SJuAdf/XSjXRO+fGNhWuuHcDve71Psf/MJrXpi/atNz97D7DmcHXGY8CfCj3Hd5Tl3/z0V/7FM5r +4fV6qDSCLEzmNemzxXp8GUNFSuIN7LuvPZSuKZBdT5qQ4Dz1iGB61zW8Ner1eQ1IPqo7uGDhYuf +ut1b75w9mxYr4hgWxJsI/nmcOBBvgADf1YJ4zWruiHPs2Nem75oU+Gtj9L516UqDEvMX2i07qG7 hfrBP9KcI+6bKtat641gD8gedxHj3CevLF/91HLizku/63ovr+f5VyT8r/L5b4eEJ3rqPfMFBEJo bHcbHdSs4O3lqWeT5uGx77ivjF195xxtKlzsvPx1q/NqGxHhghgIivpc9uHfXzDTinu5cZ0Nt24i On9xYm5VckP1Y2+/PWEm2vSdiIyfRaPOeNB7evc5IvcJclrW8ELRpiiNr5NrUPDiJzrXdKmzv/7v Vy7SO20y+AsVjQ7h1+k69kreBIbX9SdfuUi0fOXWGA60xyQS5kTqNbt89bMbiOi8RvfGipinWVHs XpF+EIi08fpffGKmsd2R/MQSPwpXu3KvFQf1D7vzrU2aOx8l8ptBtOKgPvB2SHiip/5RnSd+SOAC 2oqDnsx7xcFAl/gWb+LmHVy88KYlr82zFxEtfuqvo3Z9EuJW1EfZ6dMr54nyVi4jGl+3cgnR2Nu/ pb8rn0OF3FvRuU9ft1xac3H1U/zxMyLuz/FBfvlzn3oeXb66U7/a85B7pEqiznjk3Q/iM6H7L14l 8pqttOahv3COB3wnj3rnNq1fsMNvXaImMp+z8vKG8foX3gjU/giIZYd46rx1iZqILl7xzpnGP75I tHzxqluJIv+hZZ4PPKwXYABhvGYt1pMXVz+1nDZpHh7TkO/IaBhtCCTWLzSxfhCMNMvZEl2YzxP/ xnbrTr/OXaPwuuVgyRoVEXGTi5yh8qju4YPcJYtPRbbL7hMsRJpKLCTW/V0h/+/GsoYXNj/lfQHN eQGZu7yz/IZ1dL7+hTc+1j18sND9+dyV4vP+Ymh03jfm8a9PAhDRvKwYc/7tc9x09mVbCxfTxYn+ uVXnvBr++/NE42+eu+o3cOXlnbY3grlpL6Q6E92Kp8rplR+/9w4RFRZh2msSd0gEDjzIF2AYAr5m x+tfeGP3Ofev8hwZjUxcBfu3a8OdY/qH8m1BVAAAIABJREFUXT8y7I3o4z46Wq6cJyIae7uXiC4N X3Q9yo0jmD7ksq7X9W+s0L2h6RXfDgkvYEjQ8tWdzlcTNxLPffDjXD3523Eiot5P35F4jquvvO1/ 3/zDYwJ3yQMQzccoOze8VLhkLTeR3WQ9SzlzqMx5A6tr/IzId4yK+0zsvP+MG9337C0ytVqqzngU 7JzLtct9bgh2TqFbZ1qzqXzxXKe9Cnb4pxNmWqEuzFn363H+MimrjPz3QrG5pGGLZYd46uSOffkN 67yGT5atWU5EV4c/DbHeoMzzgYfxAgwo3Nfs6/o3XifXzG/ijYzO31x2L9F5oYn3g3CkARGR2MiR evmNXuEqtR0SXlinfuLjMC6Wuq7/AAQwH+uyn/3tBTOtuFd36yb3p8+wuddG4BNY4+W85sefmInU 5Zulh6+CrTMRbbjzYCG5xpw4zj833PxyWr5aL7jMxVxwA128mtc99BdPLadNmtivmhKVDuHXabGe vOi7hsmjus1PLeemM0biEMIT4QMP5QUYhoCv2XUP3T2mf9i5AJHl7E/P+ZWcf1F6oQXoB3ekcSv2 9J5eoXtjhe7kKxf9ygNxn6V9Q6jnoWWi2yHhBQ6Ji59U6t5Y4fmZ641Y3OUys+nkCt0bK378iXnu 7YdENB+j7FyKtqlwBdHYxxapBSICcoe1e6F30cmFlrM608rO8sWbNHc+2usaBvOZxkr0TtsbTSuD rjNB+M42dl/78zZebxx7SrNCXf4XDb8N9++RUIdres9r2m4d06xQl28e49/VcO7jGN1+Go0OEatz vP4Xn2z+h9XqwqIxfRHv8auv/GL+bwqMZiQE/QLUfCrwkNl0suTXorsEfs2e/e0Fc7lPD/NyZeGY DO6gQhP1F1rAv4euSPM7Xq+7C4DjvP+Bf8rGfvrrcSIS2w4JTjQkxn96bvXBwjBviXGvGOOz/eyF CaLFvu+JAN7m59tPz7/NDXTN9a3CeRX4/AXPX8z+i1dJZI0X5/CVxC3bodWZeN5pe6NE7B2o98NX LhLR4qfujXRX9J5eoXuPP8/PbDopk2+wikaHeNVpOVviM9h58ZPKOQ/SzF3EDzy4F2AYpF6zlrMl XsNUV1/5caxXjIlKXAXRDzr+nH4iGtuti9bdBXHO5/4Hd8yIbYeEJ3rqX9d7v6yCy9dff9v1R2n5 DQJLwTgXlSIiMptOVpqS/J46EKZgWTbsnc1mc8mB9yPYGghSzzN3oOf5krZDkvbA5we6N17gTEEY EDYQVT3P3KFW+96hcOXKFYVCwTBM8PWseWns2OZLGRkZ8zPKDgAAAAAAYZqXueyhEr11Gt8HFiM4 Iz6StkOS9sDnB7oXAABEyDJlt5wt0WFdMjnBGfGRtB2StAc+P9C9AAAgAhNjAAAAAABkDSk7AAAA AICsIWUHAAAAAJA1pOwAAAAAALKGlB0AAAAAQNaQsgMAAAAAyBpSdgAAAAAAWUPKDgAAAAAga0jZ AQAAAABkTcGybNg7m83mCDYFAAAAACAxqNVqny1XrlxRKBQMwwRfyZqXxo5tvpSRkZEyx9Zk3PiN OdYAYbBf+gw9z5e0HZK0Bz4/0L3xwn7pswMfH4h1KyBaFCybcp1Jm3akzjhSp2dTZ66nzsymzThS px1pM7Mp0460mdnUGQdXIIX3UOq0I23GkTLjSJueTZ1xpM7Mpk07UmacD1k+GVx1eFWsDw4S1vD2 4chWiIkxAAAAAACyhpQdAAAAAEDWkLIDAAAAAMgaUnYAAAAAAFlDyg4AAAAAIGtI2QEAAAAAZG2u izwCAAAklPC/rQSig/X6YV0/AEkFKTsAAAAREbE0y6Z+eW3t5PRNM44lsW4NCFlAlEmUSUT0wOhL sW6NR6pyiXppzdL0by1OVcW6LUnKZKuMdROiCyk7AAAAEUvXadH49YeW37J0UWZGRlpqrBsEgfSP WFmbXIbaF6auvPv2jluW3ojIiZX+EStZEny6N1J2AAAAIqI/2SuWLVnMpqWP2R3MlCPWzYFAGEYm 6ToRUXHeS0sXLUHkxJCs4iFKkLIDAEDSY4kl1jGbqUxLG7dfD3KnKfNHU+b+yQ/fuz7+BWOfjGoD 45QyY2Hqslsy1GuX3FGavjKSM0YYholgbXPCUqbyZkROMJIiHqImDlL2UZs1Kzsn1q0AAICExhLL sNdmWTaI2RaMfXL8ZMflns55aFdcY+yT02OW6THL5Z7jS0sqb/re9kjVHMxpmicsEatA5AQjKeIh amSesls7dJrusrbmbbFuSEKxdug0tu1dtcXuLT3NFXUm5/8r9xr3rCeivsaqet+/KeUN/L2IbO21 WtPG1tbq7Cg3OTKCO/BEwz9GUmvbmrfl+G/nuM6vtUOnOTTEf6SgxnOWe5or6ogfCbb2Wm2Lect+ w7MlQbfK8xS8Jvk601S674R/A2RFrHsD9yGR19ERhdZ7EBUsyzIMM+2YlSw5M2b5or3ZMf7lPLQq kVzu6Zx4v+sWTW1G3u1zr01Wo6qInDAkcDxEicxTdog4ZyZR7tnS01xRN6JtM2zLIaLRo1pdReNe 4571xXsMxj3uQmeaSved3/lQsXdV+1vMVLBxvpo+N0EfeMxaGAW29lptS25Dl8F54nqaKzRVVk92 6PUZrK+xql6b7UorfR/Sltp8PrCRq05tS25DV7PAQ2KsHTrNobz9Bn0J16RaEsjazzSVHslpMxhz XA1ozJbb2Qm1e3l9eKapdB/tNxi5ktYOnaaqCVl77LEMw0q98TP2yT91vCKcdTnsE1POqRGpmUsy Unw2OrcxM5PXpr3SuwXpixamKUOpireTYEl+gz1P53kewY3+xzozeW16VrBWkQKSjbFPftHWnPWP PxOuLxSSZ2o+xU/khFKVp5BIkMy5QKLGQ5REM2Xnxt5cv3nevdzb83fq9Y9niRZ2DVMNud8F3QNa BTUN5d31lse4t3CxJ0pSPc0Vr2Y3lHfXc33iGTweParVtQ5SfmV5Pm/4vO+UiSr3uhKmrG1Plre+ arPRev6IZl/jvhOVe42uk+WsraE7r1I9NBzlw4mA8A88vlk79reQto33ciipbag01b/a8UiJwIh1 saYmX9Pda632v6hVvEevHdYdbn+o2CsGBEbcxVqia6CyVYdaO4kKavaVdw8V1NSVuJtUdbh7dJt3 zbb2IycKNra68vjiPQZjMIc8n0LtXn4f9vSeKKhpdSfoOdXbKw/VnzrzbIm8PpMkhPcb3l++fHng Ml9NfbXuh+uIiCGWkbq8fsl0bGbMKvAAMzN5z8sDjWXcb6f2rP1/OhemEX+jc1vhc52/fMzrM6r1 yBNbD/ZLVKUkx30vD/yPMq+dzgmX5FeVv/v4r3Zwk4Ytr1Xf22zJSBHc6Hs8DvvEqmeMHTtUXS8U 7f4PgQP2KyDSbN9+sk9+ceQnNz369wJVhoKJ2vr5Cy8vvOO9O5YuXRq42NTUVM+f99gX2UnmkRNe VeSw5+0+3sFFieW179/3v81+Hw7mWoAoHuJBPqK3HI5z7M1g7DIYu/ZuIVN94xmv7W011HLgqFW8 cE61vq0mn9TaNsOzJUTWDl3diLbNYOwyGJ+01btzdLEnSmaDh+otjxm7DMYuvXZ4X4W7Q8r3GrsM eo1XOlG8x8AfvLSNjPjWZu043KnWarySCVv7gVPlzzwSL6vPhnfgcc7W3T1UsHGD9+h18R6DMdAM k9wc4TkqWRvK1UOmd238bdYOXTD5Omfw0CmV3thlMLZWz1rM+eXfdbchS6UeslzwKT7qXUaGQu9e Xh9mZ+cPHvq3Hu8dZXYNIVEsX778LSnuwgzDMgFN9r9/tU/k42Phc52NZdYjTxQVFT3RZilrPP7M GqI1zxxvLLO0PVFUVPTi6bLG40/fxlD/wa1FRUVFRUV//u3vv2Yhop7XvFIlkaqIuX9LGVF3A7dz 0daD/WIlvao6sENFPS8WFWkOW1Q7On72oNhGLw77xD0vDzizLSFCBSQb4zL10e8m+98P3NVBiGKK tmnTJsmw2bVrl7u8rCMnvKoc973csUN1+sWioqIXT6t2ND19m88o9twLuMg/HmQieil7Sa3R816+ /k7X+vZ9p0xUuaGYiHKq9V2uq+Eihfn62g4NVT7mKv+QtkDiiZJbeYPz7T9r25Pl1Nnbx/3/camc wNqxv8W85UmvnMOr593FTBvrfAZc5SvMA493oxYzrcoO/oj62g4NFWSLndTs3FwatI16Npxp8pmr LUFdtpGre9Tqf2Vm2Ob1YcBZ5sJRbVVFaVVFaVWF/D6Hh9q9xO/DnGr9/vITdc6j07WPSu4L80Iy KZgZs4ju3H9wqzOPpnODFiJV3m1Eq3NVRJahfiIynOwi1V13e7JYR8Huph0qOv3iLkMwVdGaVSoi y/AfJiYmJibsjgAlfasq2vWmfWJqloistmGxjV4e0LuHaoUJFZBsDM/UR7+bc4omo4kQso6c8Kp6 YEsZUddJg9BeESrAk2DxECXRXnS+p5l7T3LdyDhqHaZ81crgCvP57Ji1oVwd9L7Jh594ZWfn04hV 6GKcL9cMY68JtQJD7KNHG7rL6hMouxU88KRgqi915cSlVfXDwd/iaaov7b0ztItaYuP3ooZajlA9 d/XM0ED7ZJi1z0lJLXdoxv3lQy26itKqph7pnSDKWCn2jz+QrsVhz8tTORNhhYKI2FkHETlmWSJV 7mpnKWbme7odKrIeecU3VxKpiinIVRGpdnQMDAwMDLx8z+QMI1JSwNaWgY4d9Fr1lsY/SGzkKBdY jzxRpDksmmcGLCDRGCIi+8AHkr0tSbT2eSfryAmrKr8xa89ekSrAl2DxECXRm8vunHeu5m7v62us qo9U4QjuCy629lptC7nuxeRt7+4eKthYl8MveeBU+TP6RFl2U+zAE0CWSk0mv9n51lFbTpZrSwg3 fthGRqhgo+ujoJqbw128v/xE3b6mspA+7WTlrPLbJjRcnb/zGfdJKdbU5Gt6+/asl89tKkF0ry/v PnQpqTV21draa7Uik+BhHjGzs7Ozgdb9kF5Cm5mZvOfljh0q6nnxYD8R2axEZZvvmfhVR/UW/qg0 c9vTPygjOu07HUG8qsLbcl0Tjtf+8M1fNh5/+vyDLw0qBUoKMOwqMlQ1v9cxkPdP33n6eEqAja6H thLRmi2ixyleQLoxTu6u3vnt7Afzv+7z6LGhz1v+YPPbifc8Ac/UPJN15IRVVWGBxMTXuRfwkUjx ECVRG2XvO2XK36k3dvksBJGVs4r8562KFA6046jFHPS+yYc/gcFmG5Ia4OxrrNKaNrYK9aHflOLR XpOZGxSsKK3Stphp8JC2tLkvgo2fRwEOPAFkb9yYP9jd632BxdZ9IKzzNdpr4keCK6JKahsq6URd aBX6TF4ftZj9rrwJpfUyE3r3evqwr9F3qo/fvCOICelxvOnAiZfDnrf7eGMZWY88wU006D+49cUe KmscGBhozLVYnCOeRLTm7rtURKdNBs+uExzn6LlQVa45D/3HT1lIddc9a4Wf1LcqJ8PJLqKyLQ94 tdizUWQv/sFJFBBsjAjWPunu1J+ftR4b+pz/6LGhz39+1hpHo6pyj5zQqzo35HsBRaGIRAGxDkys eIiSaE6Mcb8r29pr6zud01WLy9xTq0ePaj3XggUL8xVravI79znL9zTzJ8BI7pt83NMVzjTVmfJ9 Fmf0ZmuvFZ8RceZ0J+Xl8ocFs7a1OucqGLsMrTvVVFDTGp9L9AQ88ISQU123k1o1tUfdaWVPs7bF vGV/yOerr1HXOli+XejuheI9em1BaPd8Z2/c6P1adk9z51WrqaGWX7tz3762Q0PcPTDyEWL38vuQ +2vGm8I+evRV100+EEsMK3ETofKGmwLs7Rzb5C+9wcxMtj95W+F3ioqKvvMvIyqyOm/l4Ga5dL/j yWq3tgxwOp8rFKzKYXdnZcwsQ0QKpVL4SflV8fZyzLJEpFR6VeXZ6NUAIZIFBBsjQrn0Jn7H6j8Y eXPwM+6hNwc/038wIj1zWU4pmqwjJ7yqlErymk5jtQ5HooCIBIuHKInaxJjiPXu3lO6r4BLryr3G /b0VdbZRouyS2tadtdrSKuf2koCFc75bVnCo1bnIY7W+jXSaqgoiovItlXQi8BNF68jiQvkW2ldR SuS9kqaQ0V6TmQbN2tJD/N158yXUOYnZlZIHngiyH2825jZXaKpanRvUQU8BMtWX8r5oqaCmtUt0 IZRt9TWnNPsqKOhV7XP4r2X+Vylxa7E3b8vhynToSl3z3GT5RVdS3SvehznV+q7splJdRYvzwfyd emPc3M+dwLi3/gAFUrLzZy+KXA1xFOw+3lhGltd+2PDuBBG3Ava3n+v85WM5p/bc9lRH9ZYysh75 DZdGcbeSWngpjGFXkSFgVVtbBp4vsbxWXbH/XOFf3aXi6hIsya+Kt1f15jKiHpNBZCPx9hJkkCog 2BiRLGPB8lt9uvrl353nBkr1H4wEfBqnwGdqnsk6csKriqp6nr/TOZ1ms2uv/jkXEJFg8RAlirlc SjCbzRk3fiOCrQlBX2NVffApQqKxX/pMvOeDXCo7oQTskESWtAc+P9C98cJ+6bMDHx8QfMj2Mxt/ GUdBJZtL1v1wHcMwf7Ddnb7s5gAlmYufXjv8P4Ufq/rJe8973dTR82LRLgOt3f2mcwFs/sBn1U/e e76EKxBOVe66REry8fbyPCi40Q9XKugCQTTGLfP+v0nJ/5bwY8GZHv/ykS9eSXcwqdOOtJnZ1BlH 2rQjdcaRMjObNuNwbpx2pM04UmYcadOzqTOO1JnZtGlHyozzIcsng6sOC8zBW3h54Y+W/qi+XuLG uLfeeuv73d+3L7ITQ8Vf//f4iJzgqyIS2S2iBVwiEg99nz8Q9UVVQjG8fVitVvtsvHLlikKhCOkD xpqXxo5tvpSRkYGUPS4hZfeRtKlV0h74/ED3xouIpezWyrSAiRcR2Q2tjqE/htlQICKilG+uz/ir x+ZYycz4l498+S9ySdmXH0PkhC1S8dB38cHETtmj+e2nAJA8vL+EmKcgoW8YgIQyyzCzUm+lKVse mb34KXvlq/lpUuJRpGemlN4v2c+S5l5DBCFywpaQ8RAlcZuyy/ELzGWipNbYFes2QPLJfrzZ+His GwEwJyzLspJv/KnpqffuuP72L9gr4/PSqMSSnpmyZRulpkv3sxRZrRCCyAlTgsZDlMRtyg4AACDl q6mvSjZLfG9A2g1p3H8Ylg1q3YmbV6TW7HGcPMp89N7cW5g8FLeuSr23htIzI7K4R1RXCJmcnLxw wXc9ah+XL1/mNwaRE6o4igeZQMoOAAAJa93udUGVY4mCWPeDT1n+sCJvLWP+kP3UTBMYNxWRnklp GYqbVypvv0OR902GiCI0gSF6K4RML5xu/ay19flWyZIzK2bcjUHkBCUO40E+kLIDAAAQEbGhJF5E RKrbFarbxb8fBjxYorlPfvCqMGop2mzq7J+y/xRqYxA5IYmjeJAPpOwAAABERMoUJTM7q1DKadUJ ECGrucuKBQpETmzJKh6iBCk7AAAAKRSKjHTH1LSd0tJj3RaQNsvMxroJHg7FpZTpdERODMkqHqIE KTsAAAAR0W1f/+1//36NMiMzVWqNbYg5WQ2qDl6qz2MaEDkxJKt4iBKk7AAAkPQUpCBFWsrUhnV/ HB1TX/7yKkupsW4TBLLkxq+RPdaN4CjJznw+RM+qmZqMi/kpyoWxblAyWnLj12gy1o2IMqTsAAAA REQKpSIl1ZGb/Ql7K8tSEozaxQkFy6ZcZ9zfYJoycz3t+mz6hJwmQijoOjsxMP1TYgmBEwMKootE iX4/L1J2AAAAIgUpWIVCqWBZlvs31g0CJwXLKhlSLmCUC5TKBeyCBUrlLKtQMAqFQi5JmoJIQcQk ftYoa4l+9y9SdgAAACJy5lsKUhCRfLJBULCsUklKpVKpZJQKvli3zEeip4wQW0jZAQAAeOSWCAK5 hrEVRApSuH4Akgo+EgIAAAAAyBpSdgAAAAAAWUPKDgAAAAAga0jZAQAAAABkDSk7AAAAAICsIWUH AAAAAJA1pOwAAAAAALKGlB0AAAAAQNbm9J3MZrM5gk0BAAAAAEgMarXaZ8uVK1cUCgXDMMFXsual sWObL2VkZMz1208zbvzGHGuAMNgvfYae50vaDknaA58f6N54Yb/02YGPD8S6FTBPFCybOjObZr+e bnek2a+nTzvS7NfTph3p9utpdke63ZE2fd356PT19ClH2rSnWLrdkcZttzssA5+sOrwq1kcDCWt4 +3BkK8TEGAAAAAAAWUPKDgAAAAAga0jZAQAAAABkDSk7AAAAAICsIWUHAAAAAJA1pOwAAAAAALI2 10UeAQAAEkr431YC84J1/QAkE6TsAAAARETE0iyb+uW1tZPTN804lsS6NSBhA7XFugkeqcol6qU1 S9O/tThVFeu2JCmTrTLWTYgupOwAAABELF2nRePXH1p+y9JFmRkZaamxbhAE0j9iZS/N5QvcI2lh 6sq7b++4ZemNiJxY6R+xkiXBp3sjZQcAACAi+pO9YtmSxWxa+pjdwUw5Yt0cCIRhZJKuExEV5720 dNESRE4MMYx8wiFakLIDAEDSY4kl1jGbqUxLG7dfD3KnKfNHU+b+yQ/fuz7+BWOfjGoD45QyY2Hq slsy1GuX3FGavjKSM0YYholgbXPCUqbyZkROMJIiHqImDlL2UZs1Kzsn1q0AAICExhLLsNdm2WAm WzD2yfGTHZd7OuehXXGNsU9Oj1mmxyyXe44vLam86XvbI1WzXObEEHcvrAKRE4ykiIeokXnKbu3Q abrL2pq3xbohCcXaodPYtnfVFru39DRX1Jmc/6/ca9yznoj6Gqvqff+mlDfw9yKytddqTRtbW6uz o9zkyPA/cGuHTnNoiIiItuw3PFsSq5ZFE//kklrb1rwtx387x3V+ed3iVFDjOcs9zRV1xI8EW3ut tsUcWgd6noLXJF9nmkr3nfBvgKyIdW/gPiTyOroEDr94wrIswzDTjlnJkjNjli/amx3jX85DqxLJ 5Z7Oife7btHUZuTdPvfaZDWqisgJQwLHQ5TIPGWHiHNmEuWeLT3NFXUj2jbDthwiGj2q1VU07jXu WV+8x2Dc4y50pql03/mdDxV7V7W/xUwFG+er6XPjf+B0pklzKG+/QV/CPVp7VDR3jFe29lptS25D l8F54nqaKzRVVk926PUZrK+xql6b7UorfR/Sltp8PrCRq05tS25DV7PAQ2KsHTp3z/c0V2hqSaDn zzSVHslpMxhzXA1ozOY+TMpHqN3L68MzTaX7aL/ByJW0dug0VU3I2mOPZRhW6o2fsU/+qeMVwayL mZm8Ns3lbQvSFy1Mc94J57BPTF332+oqnpq5JMP/nVikKsG9xOoPWJVnJxJugVQLBQuIN9u1g33y i7bmrH/8mXB9oZA8U/NJ9pETTlW8uoTP5twLJGo8REk07621tddWlFa5fpr7/Lbr2kcDFXbmWOZW TVVTDxER9TQ7C2g7+tprKxrPBH6iJNXT7OwfrkNcvUQ0elRbVaE5RJXl+bzifadMVPmYK2HK2vZk OQ3bbN5V9jXuO1G5V/94Fm/b6NGG7rxKdfSOI3KED9zWfuREQc0jXJKU892yAvOp7lHhCuKUtWN/ C2nbeHl2SW1DJZ14tcMmVLxYU5M/2N1rFXpoj15bYDrc7tc/fiPuYi3RaTuONjpfvGe6u4fcPV9S 21Ap0PO29iMnCjZucOXxxXsMcsvXQ+5efh/29Hpij4hyqrdX0olTZ4T2gzn68OcfSv580v4JV5gh lmElfi6Zjs2MCb1MmJn83ccHnI7vzrM7uK2T97zs2Zo/48wrHPaJvN3HBwYG9A8EW5XgXmL1B6zK a6eBl++Z9N1LsoWCBUSb7d0i++QXR34i2c/SP1FbmD3Vnnp71+2SPysHVnoOStaRE1ZV5LDnuesS iKxIFCCKh3iQj+il7M6xN4Oxy2Ds2ruFTPVc7uje3lZDLQeOWsUL51Tr22rySa1tMzzLjYPWjWjb DMYug/FJW32LWeKJktngoXrLY8Yug7FLrx3e58nay/cauwx6jdf8Ap9kyDYy4lubteNwp1qr8UqY bO0HTpU/80i8rD4rdODZjzcb3RMVrO+eGlSXbcwS2jle2bq7h3hZL6d4j8EYaIZJbo7wdYasDeXq IdO7XsmotUMXTL7OGTx0SqU3dhmMrdWzFnN++XfdbchSqYcsF3yKj3qXkaHQu5fXh9nZ+YOH/q3H e0e5fSZJEDewN5wynAr8M/X5FFeYYVgmoMn+96/2GYWfqfC5AztU1PNiUZHmsEW1o+NnDxIRc9vT xxvLTr9YVFT0Yg+pdhx4rpCIHPaJe14e6Ngh9hdUsCrBvYTrl6qq8LnOxjLrkSeKioqeaLOUNR5/ Zo1PC6RaKFhAuNkCpj763WT/+4G7OghRS9mnU7eVbut/pz/Az8nDJ9Om0ty7yDpywqvKcd/LHTtU 3F6nVTuanr6NiXQBF5nHg3xEb2JMSa2xy/3L+jsriZu12XfKRJV7i4kop1rfVR24MF9f26Ghyr16 7g2y5CFtgak16H2TT3mD8+0/a9uT5a11vX171hdT1rbHpVJSa8f+FvOW/c38nMOr593FTBvrWrOo PdINj4qAB+6ac5y/U59gs2JGLWZa9VjwWW9f26GhghqxnsrOzaVB2yiRq8IzTb4TjQJzfyIatQ4T +bxLDNtstJ7XVK7MhaNaXesgEXlusZCPULuX+H2YU63fb6uoq+L+WOXv1OslX5swH7h3/gAFZsYs oo/1H9xadJDIYZ9YNUtEVtswEa25+y4Vdf1L+8QEtT9526+c8w8e0A+8UBrgaQSrEtxLuH6pqpwb iYjODVqISvNuI/qEv5tUCwULCDdb2NRHv0tbvS7QM0gJfKbmmawjJ7yqHthSRtR10kBEhpNdz79w 191rXhr8JKIFeBIsHqIk2ovOu6b5f7OtAAAgAElEQVSyuG5kHLUOU75qZXCF+Xx2zNpQ7j0lI9C+ yacg2/P+n52dTyNWoYtxvlwzjL0m1AoMsY8ebeguq5flvYBhyKnWdxmMXYbtFl1F0l2fMdV7ZpRV 1Q8Hf4unqb60987QLmqJjd+LGmo5QvXc1TNDA+1LtLNTUssdmnF/+VCLrqLUNf0PYomVYv/4A6k6 trYMdOyg16q3NP6BiCnIVZFF9ZTPFBTlAuuRJ4o0h8WzOP+qBPcSqV+yKheHPS9PJZRcS7YwQAGR 5/JmH/hAsrcliVc/3+QcOeFV5TdmrcpdHeECfAkWD1ESzYkxFaVVFa6pLA2Bv0U2pMIR3BdcbO21 FZrusjbfG+D8r/5zU2ISbECauJncnb2JdCNElkrtf1sCWUd5W8pdM8oM3JSVAPm6bWSE91FQrW2r Lab1z+4vp859IeaaWTmr/LatyvZ/6vydnjCT4dkJont9efehS0mtscvQulMtNgke5hEzKyGIJbQN u4qKXrTt6Bh4+T4HFRaoiFTU9URRUdGLp8k1BcWwa+vBfunmeFUluJdI/ZJVcUc7M3nPyx07VNTz ml9rJFsYoIDQcwlx9+rffHPl2/f/mc/P33xzpcS5mJVeoWXeyDlywquqsEBi4uvcC/hIpHiIkqil 7H2nTPk79cYun4UgsnJWkf+8VZHCgXYctZiD3jf5DNp4N/bahqQGOPsaq7Smja1Cfeg3pXi012Tm BgUrSqu0LWYaPKSNz1t++xqrvAZubbYh8cLxKHvjRv/bSW3dB8I6X6O9Jn4kuCKKu+GyLrQKfSav j1rMflfehNJ6mQm9ez196Bt7vDkzEFPS43jTQX3rjeFkF1HZlgeof9hKRJahftdG8YFGh32C4z1Q 7q5KkHD9QVXlsOftPt5YRtYjT+wyBGiAZAsD94AY1j7p7tSfn7UeG/qc/+ixoc9/ftYaR6Oqco6c 8Ko6N+Q7/K5QRKKAiASLhyiJ5sQY97uyrb22vpObrkrFZeXkHC0bPar1XAsWLMxXrKnJd4/n9TTz J8BI7pt83NMVzjTVmfJ9Fmf0ZmuvFZ8RceZ0J+Xl8ocFs7a1esZlW3eqqaCmNcgbEGXGZ+C275RE R8WfnOq6ndSqqT3qTit7mrUt5i37Qz5ffY261sHy7ULzrbmFUEK65zt740bv17LAjb/Fmhpq+bXn 7LQdGqrcIK+zE2L38vuQ+2vGWzJr9OirJpLbASYjhpW4iVB5w02iOzvs7qzJMcsSkVJJNGy1ErGz Dq+Ngra2OCcudD5XKFiVIMH6patyDbBbjzzhHmrl7yXZwuB7QIRy6U38jtV/MPLm4GfcQ28Ofqb/ YCSIuw1llKLJOnLCq0qpJK+9rNbhSBQQkWDxECVRu/20eM/eLaX7KrjEunKvcX9vRZ1tlCi7pLZ1 Z622tMq5vSRg4ZzvlhUcanUudVytbyOdpqqCiKh8i+s2U9F9o3VkcaF8C+2rKCWSvrNttNdkpkGz tvQQf3feMiDqnETtypxqfVuHrrSqnogS9BbA7MebjbnNFZoq573apHYtwC/JVF/K+6KlgprWLtGF ULbV15zS7KugoO8QzeG/lvlfpcStxd68Lcf37Mjw9lOS7l7xPsyp1ndlN5XqKlqcD+bv1BsTLvzi EPfWH6BASnb+7EWRqyFbWwaeL7G8Vl2x/1z15jKiHpOBiH5z2vr4Y5vvmfhVB2+jEMOuIkPgqoT0 C9YvVZWjYPfxxjKyvPbDhncniLil2fkNkGxhCD0gbMHyW326+uXfnecGSvUfjAR8GieGYWhBMAXn g7wjJ6yqqKrn+TvL3HtZj/ymn6h/zgVERCYeEp1iLpcSzGZzxo3fiGBrQtDXWFUffIqQaOyXPhPv +SCXyk4oATskkSXtgc8PdG+8sF/67MDHBwQfsv3M9tZbbwXevWRzybofrmMY5g+2u9OX3RygJHPx 02uH/6fYo2t3v/nLx5zfLvxi0S5X6lL1k/eeLyEi4o9pu4vzS0pWJbiXWP3iVbn3cBFuRMAWChYQ b7avzPv/JiX/W+KPS5se//Iv099In3ZkzDjS7NfTph3p9utpdke63ZE2fT3Nfp37T/qUI23akWa/ ns79a3ekcdvtDsvAJ6sOC8zBW3h54Y+W/qi+vj7As1+4cKHkb0tGvjNCRMRQ8df/Xd6RE05VvLqE QysCBVwiEg99nz8Q9UVVQjG8fVit9v32mitXrigUipA+YKx5aezY5ksZGRlI2eMSUnYfSZtaJe2B zw90b7yIWMpurUwLmHgRkd3Q6hj6Y5gNBSIiSvnm+oy/emyOlcyMf/mXGb+WS8q+/BgiJ2yRioe+ iw8mdsoevXXZASCZ2Nprte4vOOMrCH7tSIDYmmWYWam30pQtj8xe/JS98tX8NCnxKNIzU0rvl+xn SXOvIYIQOWFLyHiIkrhN2Yv3GES+RyzpeX23FMA8yX682fh4rBsBMCcsy7KSb/yp6an37rj+9i/Y K+Pz0qjEkp6ZsmUbpaZL97MUWa0QgsgJU4LGQ5TEbcoOAAAg5eLFi/fdd1+QhRmWDWrdiZtXpNbs cZw8ynz03pwal2QUt65KvbeG0jMjsrhHVFcIeeedd957L9DJnZ2dpXSvxiByQhVH8SATSNkBACBh 3VF/h2SZbMomliiIdT/4lOUPK/LWMuYP2U/NNIFxUxHpmZSWobh5pfL2OxR532SIKEITGKK3Qsjk 0snuTd2hNgaRE5Q4jAf5QMoOAABARMSGkngREaluV6huF/9+GPBgieY++cGrQjmlaIicUCV2PEQJ UnYAAAAiImWKkpmdVQT4BiCQDVnNXVYsUCByYktW8RAlSNkBAABIoVBkpDumpu2Uli5dGmJtlpmN dRM8HIpLKdPpiJwYklU8RAlSdgAAACKi277+2//+/RplRmaq1BrbEHOyGlQdvFSfxzQgcmJIVvEQ JUjZAQAg6SlIQYq0lKkN6/44Oqa+/OVVllJj3SYIZMmNX4t1E1yUZGc+H6Jn1UxNxsX8FOXCWDco GS258Ws0GetGRBlSdgAAACIihVKRkurIzf6EvZVlKQlG7eKTgmXTrjNp0w7FTKyb4qag6+zEwPRP iSUETgwoiC4SJfr9vEjZAQAAiBSkYBUKpYJlWe7fWDcIhClYVjHLKpUKhUKhkEmWpiBSEDGJnzXK WqLf/YuUHQAAgIic+ZaCFEQkm2QQfClYVqlkFQqF7PLjRE8ZIbaQsgMAAPDILREEfwqcJkg6+EgI AAAAACBrSNkBAAAAAGQNKTsAAAAAgKwhZQcAAAAAkDWk7AAAAAAAsoaUHQAAAABA1pCyAwAAAADI GlJ2AAAAAABZm9N3MpvN5gg2BQAAAAAgMajVap8tV65cUSgUDMMEX8mal8aObb6UkZEx128/zbjx G3OsAcJgv/QZep4vaTskaQ98fqB744X90merDq+KdSsgzgxvH0bYQPQMbx+ObIWYGAMAAAAAIGtI 2QEAAAAAZA0pOwAAAACArCFlBwAAAACQNaTsAAAAAACyhpQdAAAAAEDWkLIDAAAAAMjaXNdlBwAA SBipyiXqpTVL07+1OFUV67YkKZOtMtZNCAciJ+biNHKCh5QdAACAiGhh6sq7b++4ZemNizIzMtJS Y92cZNQ/YiVL/M0AQOTEXJxGTkiQsgMAABARFee9tHTREjYtfczuYKYcsW5OMmIYNtZNCAciJ+bi NHJCgpQdAACAiKVM5c3KtLRx+/Ug95gyfzRl7p/88L3r418w9smotk5WlBkLU5fdkqFeu+SO0vSV kZwHwjBMBGubJ4icoCFy5iIOUvZRmzUrOyfWrQAAgITGErGKa7Msy0oP1zH2yfGTHZd7OuehXTLE 2CenxyzTY5bLPceXllTe9L3tkao5mM6XHURO0BA5cyHzlN3aodN0l7U1b4t1QxKKtUOnsW3vqi12 b+lprqgzOf9fude4Zz0R9TVW1fv+TSlv4O9FZGuv1Zo2trZWZ0e5yXMldIAe/h2SSPjHTmptW/O2 HP/tHNf5tXboNIeG+I8U1HjOck9zRR3xI8HWXqttMW/Zb3i2JOhWeZ6C1ySeYMLPu7YYnUGx7g3c h0REZ5pK951w/RJa70G0MAwz7ZiVLDYzZvmivdkx/uU8NEn+Lvd0TrzfdYumNiPv9rnXFqdjpYic MCByQiXzlB0izplJlHu29DRX1I1o2wzbcoho9KhWV9G417hnffEeg3GPu9CZptJ953c+VOxd1f4W MxVsnK+mh0vkAJ2P+ndIArG112pbchu6DM4T19NcoamyerJDryS4r7GqXpvtSit9H9KW2oQz5p5m bUtuQ1dzCOmytUOnOZS336Av4ZpUS35Zu3T4edcWkzMYavfy+vBMU+k+2m8wciWtHTpNVROy9thj GYaVeuNn7JN/6nhFPOtiZiavTc+mZi7JSHH9wn94QfqiDLL7b1yY5n/fXISq8uwZ8HnmUICxT37R 1pz1jz/z2zNkkv0vT4gcRM48iGbKzo29uX7zvHu5t+fv1OsfzxIt7BqmGnK/C7oHtApqGsq76y2P cYmX2BMlqZ7milezG8q767k+8Qwqjx7V6loHKb+yPJ83ftl3ykSVe10JU9a2J8tbX7XZaD1/4Lyv cd+Jyr1G18ly1tbQnVepHhqO8uHMmfgBCndI4rB27G8hbRvv5VBS21Bpqn+145ESgQsjxZqafE13 r7Xa/6JW8R69dlh3uP2hYq8YEBhxF2uJroHKVh1q7SQqqNlX3j1UUFNX4m5S1eHu0W0+NfMIhR8n pmcw1O7l92FP74mCmlZ3gp5Tvb3yUP2pM8+WrPfbD+Yo9/e5kmUcaY7RtaNExBDLSF1ev2Q6NjNm FavJPrHqGWPHDlXXC0W7/4Oo8LnOXz7m9XHUeuSJvbTPf+PWg/3Rqcphz9t9vGOHiojI8tr37/vf Zp/Eae4FiLjc68hPbnr070V6JlgMxX56Q9pk2spPVkoWu/q1q1/mOPNvRA4iZx5EL2X3Gns701S6 r75xg3HPes92a4dOc+DoxuZtOWKFq/Vt5JwYk0Nk7dC5x0p7mivqzFQZ8ImS2eCh+lV7jV3rfQeV y/caW9eTtUPXaXOXLd5jMPJ2tY2MEHnnG9aOw51qbZtXl9raD5wqf6aODpyQfcoe6ACFOiRh2Lq7 hwo21vmPXgfaKTcnh0jgTSVrQ7m61fSu7fEsT3BYO3TB5OucwUOnyvXGriwi6ms8lF/+jLueLJV6 yHKBSCRlFwo/j9idwdC7l9eH2dn5g4f+rafaPawudV4gbLdP3/6v//qvgctUPlLpTNkZNvDldfvH H1ztEztVDvvEPS8PNJbxNvUf3Fp0kIiImVH//Vu/2qHqee1gfz8JbIxWVY77Xu7YoTr9YlGtoar5 veebnv7Ngy8NKiNawGXqo99N9r+fsebPRLsvCHJY9yPlesr3V39/165dAcpcvHjxwYYHPSk7IgeR E33RW8GypNboeS9ff6drffu+Uyaq3FBMRDnV+i7X1XCRwnx9bYeGKh9zlX9IWyDxRMmtvMH5oSVr 25Pl1Nnbx/3/calPMtaO/S3mLU96jRF69by7mGljnfiwqHx5HWAQHRLPRi1mWpUd/G0GfW2Hhgqy xU5qdm4uDdpGPRvONPnM1ZagLtvI1T1q9f+YN2wTy7gFws8jlmcw1O4lfh/mVOv3l5+oq6ooraoo rdK1j0ruC+FasGDBSinuwoyUmTGL+FM9oPdOlXgcBbubdqjo9Iu7DBIbI13VA1vKiLpOGojIcLKL VHfdvSbSBXimPvqdZB9KEq19Hi1cuDBwzCxfvpxfHpGDyJkH0V50vqeZe09y3Uk2ah2mfJXIBSff wnw+O2ZtKFcHvW/y4Sde2dn5NGIVuxjH55ph7DWhlhvj1PATo9GjDd1l9bK/5dSf4AEmNVN9qTNr rCitqh+uCfpOYlN9ae+dXXu3kKm+8Uxwz5WbE8a6TwLhlyhKao1dBmOXwbi/fKhFV1Fa1dQT6yYB sVLsH38gvrdygfXIE0Waw365GTPzPd0OFVmPvGKQ2BjxqvxGHlW5qyNcgM8+8IFkH0oSrV3GEDmI nHkQzYkxFXUmIjU3laWvsao+UoUjuC+42NprtS3kukeTt93v6j83JUYfb8tuih1gAstSqcnke1sC WUdtOe7JLSHc+GEbGaGCja6PgmpuDnfx/vITdfuaykL6FJSVs8pvm8hwteDkE5kIont9efehS0mt savW1l6rFZkED/OImZ2dnQ207kfAJbQNu7YS0Zotfjvd9vQPyohOe808ENwY+aoKCySWvp57AR/u Dtz57ewH87/u8+ixoc9b/hBoFhsTsP9lC5ETRgEfyRk5IYnaKHvfKVP+Tr2xy2chiKycVTRkuRBc 4UA7jlrMQe+bfPgTGGy2IakBzr7GKq1pY6tQH45azPnl3+WlEaO9JjM3KFhRWqVtMdPgIW1pc18E Gx8FAQ4wgWVv3Jg/2N3rfYHF1n0grPM12mviR4IrokpqGyrpRF1oFbomr7uqtpjFrrz5hZ+MhN69 nj7sa6yq8L464TfvCGJCehxvOoxvvVlz910qotMmQ8CNDvsEZ3JG/AJ/yFWdG/IdblUoIlFABGuf dHfVz89ajw19zn/02NDnPz9rTcixUkROsAVEJG3khCSaE2Pc78q29tr6Tud01eIy99Tq0aNaz7Vg wcJ8xZqa/M59zvI9zfwJMJL7Jh/3dIUzTXWmfLHV8YiI6zTRGRFnTndSXi5/WDBrW6vBeUG/y9C6 U00FNa3yXqIn4AEmtJzqup3Uqqk96k4re5q1LeYt+0M+X32NutbB8u1Cdy8U79FrC4KfHkPEJbte r2X3NHcf/uEnJyF2L78Pub9mvCnso0dfdd3kA7HEsGzgybLKG24KvdKCXBVR9zuGwBu3tgxwOp8r jGBVSiURsbMOInLMskRW63AkCohQLr2J3136D0beHPyMe+jNwc/0H4xIz0eOz8QLkYPImQdRmxhT vGfvltJ9FVxiXbnXuL+3os42SpRdUtu6s1ZbWuXcXhKwcM53ywoOtToXeeQWkKmqICIq31JJJwI/ UbSOLC6Ub6F9FaVE3itpChntNZlp0KwtPcTfnTdfQp0T310peYCJLPvxZmNuc4WmqtW5QR301CBT fSnvi5YKalq7xD7zZG2rrzml2VdBft9RJSaH/1rmf5XSmabSIzlea7T7h59/mZiR6l7xPsyp1ndl N5XqKlqcD+bv1AutYgnzjHvrD1AgJTt/9mKIV0PWrFIRWSzDEhsNu4oEpibPvaqqnufvLNt8z8Sv Oqo3l5H1yG/6ifrnXEDEguW3+nTgy787zw1/6j8YkTo8orj9QhxEDiJnHkRxXfb1z3YZnuX9auxy /i/78Wbj40EWztrWavCsEp1Tre+q5v7b12g6IbFvUrtzj+HZPSKP5VTrPV3k3cO+1j/bFSgJEzqV chP4AInIp0MSTkmtsatWZLvILrwXWlA7Bi5PQj0svItPvAmGn9DGGJ5Bse6V7BPfP1wgB9KJ19r1 0+//V8A6lAsURLTAcwl7zSoVUY/ZO1sR3BiVqgy7nsh/85eNAwONRNYjT/jPWp57AY+Utev9O/Cn 75sFCwuK08QLkYPImQeKucz+MZvNGTd+I4KtCUFfY1V98KN6icZ+6TPxng/y220SSsAOSWRJe+Dz A90bL+yXPlt12P+2ZiKi7733vbfeeivw7t8u/fYfN/2RGCpefixt2c0Sz2VodQz9McyGJrSUb67P +KvH5ljJzPiXfRcfjPpqdkRENLx9WDBsFl5e+KOlP6qvD7SWxYULF0r+tmTkOyNEhMiZo7iLnCAN bx9Wq9U+G69cuaJQKEL6gLHmpbFjmy9lZGRE89tPASB5eH8JMU9BUt5IAHFplmFmpd5KU7Y8Mnvx U/bKV/PTpHihSM9MKb1fsvckzb2GmEDkhC3JIyckcZuy48sCRQWY8AAQNfEwSwogMJZlWck3/tT0 1Ht3XH/7F+yV8XlpVDxIz0zZso1S06V7T0qcrvuByAlT0kdOSOI2ZQcAAJBy+fLlhoaGIAszLBvU uhM3r0it2eM4eZT56L05NS4hKG5dlXpvDaVnRmTJDpms+/H73/8+cNhMTnot2ojICUNCRk5UIWUH AICE9W7xu+9OvitRyPVVYJI3EfIpyx9W5K1lzB+yn5ppIsnGTdMzKS1DcfNK5e13KPK+yRBRhKYl yOEmwqklU/+5+j//c/I/Axdj1nqaisgJVkJHTrQhZQcAgIQ1s3Am+MJsKIkXEZHqdoXqdvHvh0l8 LNHcpzR4VSiDxItVsiGFDSFyQpeQkRNtSNkBAACIiBQLFMzsrEIpp1UnkkyczkhG5MRcnEZOSJCy AwAAEBE5FJdSptMpLT3WDUles8xsrJsQDkROzMVp5IQEKTsAAAAR0eCl+jymQZmRmSq1xjZESZwO lSJyYi5OIyckSNkBAACIlGRnPh+iZ9VMTcbF/BTlwlg3KBktufFrNCldTF4QOTIQl5ETIqTsAAAA RESkoOvsxMD0T4klSoJBO9lREF0kise7MhE5sRW/kRMKpOwAAABERKQgUhAxif/eL2vxeA8nIkcO 4jFyQoGUHQAAgCfR3/ghWhA5EE2ILwAAAAAAWUPKDgAAAAAga0jZAQAAAABkDSk7AAAAAICsIWUH AAAAAJA1pOwAAAAAALKGlB0AAAAAQNaQsgMAAAAAyBpSdgAAAAAAWZvrt5/aL30WkXZAqNDzPpK2 Q5L2wOcHujdeDG8fjnUTIP4gbCCOzDVlz7jxGxFpB4TEfukz9Dxf0nZI0h74/ED3xgv7pc8OfHwg 1q0AWUhxzC6cmF40Mb1owr7win3RVfuiK9OLJuzcFue/V+yLrk7b+gdWHV4V6/ZCwor4B0JMjAEA AAAAkDWk7AAAAAAAsoaUHQAAAABA1pCyAwAAAADIGlJ2AAAAAABZQ8oOAAAAACBrc13kEQAAIKGw sW5AklPEugEAsoSUHQAAgIiIWJplU7+8tnZy+qYZx5JYtyZJ3fb1/y8es/ZU5RL10pql6d9anKqK dVuSlMlWGesmRBdSdgAAACKWrtOi8esPLb9l6aLMjIy01Fg3KBn1j1hZllWQIr6y9oWpK+++veOW pTcicmKlf8RKlgSf7o2UHQAAgIjoT/aKZUsWs2npY3YHM+WIdXOSEcOwLMsqFHGVsBMV5720dNES RE4MMUziT2hDyg4AAEmPJZZYx2ymMi1t3H49yJ2mzB9NmfsnP3zv+vgXjH0yqg2UFWXGwtRlt2So 1y65ozR9ZSTngTAME8Ha5glLmcqbETnBQOTMRRyk7KM2a1Z2TqxbAQAACY0llmGvzbIsKz1cx9gn x092XO7pnId2yRBjn5wes0yPWS73HF9aUnnT97ZHquZgOl92WCJWgcgJBiJnLmSesls7dJrusrbm bbFuSEKxdug0tu1dtcXuLT3NFXUm5/8r9xr3rCeivsaqet+/KeUN/L2IbO21WtPG1tbq7Cg3ea6s HTrNoSEiItqy3/Bsif+j3h2SSPgnl9TatuZtOf7bOa7zy+sup4Iaz1nuaa6oI34k2NprtS1mgY4N wPMUvCbxBBN+3rXF6AyKdW/gPiQiOtNUuu+E65fQeg+igmVZhmGmHbOSJWfGLF+0NzvGv5yHVsnf 5Z7Oife7btHUZuTdPvfa4nSsFJETBkROqGSeskPEOTOJcs+WnuaKuhFtm2FbDhGNHtXqKhr3Gves L95jMO5xFzrTVLrv/M6Hir2r2t9ipoKN89X0sJ1p0hzK22/Ql3CHX3uUnyP6d0gCsbXXaltyG7oM zhPX01yhqbJ6skOvJLivsapem+1KK30f0pbahDPmnmZtS25DV3MI6bK1Q+c+Iz3NFZpa8svapcPP u7aYnMFQu5fXh2eaSvfRfoORK2nt0GmqmpC1xx7LMKzUGz9jn/xTxyviWRczM3ltejY1c0lGiusX /sML0hdlkN1/48I0//vmvKoiIiKHfWLquuAuDvvE1HXhesR3CvhcgjUIV8LYJ79oa876x58JVh0S yf6XJzlHTvhVefYM+DxzKIDICUk07621tddWlFa5fpr7/Lbr2kcDFXa+E5tbNVVNPURE1NPsLKDt 6GuvrWg8E/iJklRPs7N/uA5x9RLR6FFtVYXmEFWW5/OK950yUeVjroQpa9uT5TRss3lX2de470Tl Xv3jWbxto0cbuvMq1dE7jkixtR85UVDzCJcM5Xy3rMB8qpsLPOEOSRzWjv0tpG3j5dkltQ2VdOLV DptQ8WJNTf5gd69V6KE9em2B6TDvBevkN+Iu1hKdtuNoo/PFe6a7e8h9RkpqGyrdZ0SYUPhxYnoG Q+1efh/29HpikohyqrdX0olTZ4T2gzn68oMvJX+++vArrjBDLMNK/FwyHZsZE3qZEBE57BN5u48P DAzoHyAiosLnOge8dT5XKLhRsioiZmbynpdduxzfnT/jSVGYme+9PDAwcPzZtQL18HfKswvdGun/ XN4P3/eyRGO53OvITyR7T/pHBqvip8yk3GS7SfJn8VeL3bvIOXLCrcph56rxD7eIFSBKrMiJtuiN snuNvZ1pKt1X37jBuGe9Z7u1Q6c5cHRj87YcscLV+jZyTozJIbJ26NyDwT3NFXVmqgz4RMls8FD9 qr3GrvX8UXMiovK9xtb1ZO3QdXqSiuI9BiNvV9vICJH3PBdrx+FOtbbNq0tt7QdOlT9TRwdODEfv MCIj+/Fm4+OuX6zvnhpUl9W7kj+hDkkYtu7uoYKNdf6j14F2ys3JIRJ4U8naUK5uNb1rezzLExzW Dl0w+Tpn8NCpcr2xK4uI+hoP5Zc/464nS6Ueslwg8s/Inc/iH34esTuDoXcvrw+zs/MHD/1bT7V7 WF3qvEDYvvo/X+3atStwmX/+yT9/be3XiIhh2MCX1+0ff3C1T+xUOewT97w80FjG29R/cGvRQSIi Zkb992/9aoeq57WD/f0ksFZ08v4AACAASURBVFGyKmJue/p4Y9npF4tqDVU/ee/5HQeeM23l9mNm 8nf/oIwEMffrG8uou6Hoh2/d97/eq+/Qn//z3W97DdYJPZdPFVvKiKtCtAwR0dRHv5vsfz9jzZ8F LCVBDut+pE2lPUAP3H///QHKXL58+Z86/unq165yv8o5csKsynHfyx07VFy8Nb/3fNPTv3nwpUFl RAu4JEzkRFv0UvaSWmOX+5f1d1YSN2uz75SJKvcWE1FOtb6rOnBhvr62Q0OVe/XcG2TJQ9oCU2vQ +yaf8gbnh5asbU+Wt9b19u1ZX0xZ2wTGKb1ZO/a3mLfsb+bn7F497y5m2ljXmkXtkW549LjmFufv 1HsuKUh2SDwbtZhp1WPB32bQ13ZoqKBGrEeyc3Np0Dbq+Tx3pim06Sjqso1c3aPWYSKfhQKGbTZa L9hUgfDziOUZDLV7id+HOdX6/baKuiruj1X+Tr3QNQSIiMzMzPvuuy9wmX/+yT9z/2EYJnDiNTNm EX/wAf3AC6XCDzkKdjftUNHpF3cZJDaKV7Xm7rtU1PUv7RMT1P7kbb9yT2FhZvJ3N+1QWC0k9DIp LFARWc4PENHAeQttVBUUEnnlZgGa7XziVSoiy/AfJiYmiESmzjhNffS7tNXrAlUmRSYzkrOzswOH zYULF/6p45/cv8o6csKr6oEtZURdJw1EZDjZ9fwLd9295qXBTyJagCdhIieqor3ovGsqi+tOslHr MOWrVgZXmM9nx6wN5d5TMgLtm3wKsj3v/9nZ+TRiFbsYx+eaYew1oZYb49TwxzhHjzZ0l9XL/pZT HznV+i6Dscuw3aLjTRZKcqZ6z4yyqvrhmqDvJDbVl/be2bV3C5nqg+3M3Jww1n0SCL9EUVJr7DIY uwzG/eVDLbqKUtf0P4glVor94w/E91YusB55okhz2C83Y2a+p9uhIuuRVwwSGwNUxRTkqsiieso5 z+DleyZnGHIn7Ed+cUq4Uf3mUSKVKndiYiJXpSIaNfsMy4o3m//EpNrR4fW8wuwDH0j2oSTR2mVM zpETXlV+Y9aq3NURLsCXtJETkmhOjKmoMxGpuaksfY1V9ZEqHMF9wcXWXqttIddNqLztflf/uSkx IqOecaBYU5Ov4S47JLgslZpMfqPX1lFbjntyi/gaLH5sIyNUsNH1UVDNzeEu3l9+om5fU1lI901m 5azy27YqW/CjguDkE5kIont9efehS0mtsavW1l6rfbXjkZJ4+yScaJjZ2dnZQOt+BFxC27BrKxGt 2eK3021P/6CM6LTXzAPBjYGqKixQEamo64mi5v6q5veebzz+zEh187n83U07VKdfrB7ME34RMr/+ wW32nw80Dgw0EnXtue3//g/fuwDFmu1+4ttyiaxHnth6sH/tD9/8ZePxp8+LzG8gIiJ3B+78dvaD +V/3efTY0Octfwg0i40J2P+yJefICa+qwgKJRdPnXsBHckZOSKI2yt53ypS/U2/s8lkIIitnFQ1Z LgRXONCOoxZz0Psmn0Eb78Ze25DUAGdfY5XWtLFVqA9HLeb88u/y0ojRXpOZGxSsKK3Stphp8JBW 3rf89jVWeQ2r22xD4oUTSfbGjf63k9q6D4R1vkZ7TfxIcEUUd8NlXWgVuiavu6q2mMWuvPmFn4yE 3r2ePvSNSd6cGYgp6XG86TC+9WbN3XepiE6bDAE3OuwTHJFR7P5hKxFZhvqJyHCyi0iVu5q57emm HSrLa/+rfWJqlohodmrC7uBX5bjt6eMDjaq2J4qKip5oUzUOHH9mjfRzeRXoP7i1qIibNd9//JSF VHfd43+Tq6sD7ZPurvr5Weuxoc/5jx4b+vznZ60JOVYq58gJr6pzQ74D9QpFJAqISNrICUk0J8a4 35Vt7bX1ndx0VSouK6fO3j4ibrUH97VgwcJ8xZqa/M597qVj+BNgJPdNPu7pCmea6kz5YqvjERHX aaIzIs6c7qS8XP6wYNa2VoPzgn6XoXWnmgpqWuW9onmxpibfGXJEzs94gTokceRU1+2kVk3tUXda 2dOsbTFv2R/y+epr1LUOlm8Xmm/NLYQS9PQYIi7Z9Xotu6e5+/APPzkJsXv5fcj9NeMtmTV69FUT VW5IirCUNYZlmYCUN9wUeqUFuSqi7ncMgTdubQm4IgvRsNVKxM46iMgxyxKRUll431+65qx07HD+ r2Urv6r7v/eXKiLL4DkiOjdoIVL9/+zdfVBb570v+t+SeXXikjRO0joIgSzqlzhp7w7jDiFAjxK0 yUtJatKSa8vBJ9p7+w575lo7L51CvcPFw8BMyfioJ7Vaeoa21ODZ7lTxvsrpNpVdzbUw5pTjxG2T krARCkgkfsmLsalBYLTW/UMvLL0uCUloSfp+hsnEaz3P0rMe/ST99OhZzyrbFsVj8QusOH3ZIOti iYiRhM0cJEX38LtLf2n6rckr7l1vTV7RX5qO3L0sy7LpmXiJOnLWdiiJhPzizW6fSkSBMLI2cmKS tIkxlW2H62o6Ve7Euv6wqfuCqtUxSySt0vYd1GpqGjzbqyIWLvlmbXl/n2epY/cCMg0qIiJlnfcy 07B1k3VmaUFZR52qGiLhK9tmL5htNGnT1PTzq/PmS8hL0r0rSxr1A4aWGs+Mqay61E+6T2cq1anU DZ5rtb3zx6Jgbq/h3WipvLnPEm7ORnFTe/M5daeKDke7UlMJ/7XMv5XSWE/NiRK/NdqDwy+4TMoI dW/4Pixp1FukPTUtql7PTsVBvSlrwlLE3B/9EQrkSBWuazH+GuK+enNmSmCj8VBFiKnJPOO/P2/f t/eJp+Z/Y2h8opZoxGwcNxrdy34QbT9kGNhPx9WNP/6QyLh6qJ2k2bdXVlY2P//+rjIZkd0xRTQu 9Fj8xuzpnXi9auZXjaru93f9/bdkZD/x+1AzMoiIaMN9DwR04LF3P3IPf+ovTUd8SI/I/S9aoo6c NR6qYeT1x2p98eZ+2sfjLhBG1kZOTJJ4K6Xdr1mMr/H+6VvXxW/RPYHCxU19xtVbn/IWmRntMp8R qJvVHmszvtYWZl9Jo361i/x7ONDu1yyRkrBQT6Uo8ZcnCr13HRuzzqq0Jos2zPYwVSJ3V3DFyOUp VA+HrhIQbyHDL9TGFD6D4bpXsE8C37hADIQTr527l975/yIeQ7KBIaINqwPR27fKiEYCrvoMuVHg UONH9xyRXXTPSrefeNF/iY+gh/Wr9Lph4gAR0ciRipAzoMPXJzIeelHx1q8PuI/gntMetsU5O3cH d+BP3rGFrRAkTRMvcUfO2g7lfuJ98Rb8tMdfYFXWRk5McPdTAAAAIvJMSY6wn7l3S47ioRXre+GL +FbB9go5CBrNyGjwoSJUCy4b72NFt48n58HdG7buindKcZpObxB55KztUIJPfPwFiCjLIycWSNkB IBEcg1pNb6ghkfLo144ESC0Xy7qExupy6l5wXfuYu/nF+jQpXTD5hTk1zwr2nqD4j5ASiJw1y/LI iUnapuy4WWBYESY8ACRN2sySAgiL4zhO8IM/Nz/36QO3f/dL7ub1dWlUOsgvzKlrotx84d4Tkqbr fiBy1ijrIycmaZuyAwAACFlcXHz77bejLMxyXFTrTmz+am5z28rZk+wHF+NqXEZgHtia+3Qz5Rcm ZMkOkaz74XA4IofNjRs3+P9E5KxBRkZOUiFlBwCAjFXSXHJq7lTkMtv/63b3/wheRMgnUX6XKdvJ 2v7KfWyj+SwbN80vpLwCZvMWyY5HmLIHWSJK0LQEMVxE6LzTOZgzODg8GLmYa8fqvXsQOdHK6MhJ NqTsAACQsQruKYiqHEdExMWSeBERyXYwsh3h7w+T+Tii+Kc0+B1QBIkXu4F13uGMqQoiJ1YZGTnJ hpQdAACAiEiSI2Fdrgi3CoJkS9MZycwGBpGTWmkaOTFByg4AAEAMwxTkrywuOSkvP9VtyV4u1iVc SHxWmLmcpXxETgqlaeTEBCk7AAAAEdG2+//3//rTdklBYe7dm1PdliyVpkOlk3PtZWwHIieF0jRy YoKUHQAAsh5DDDF5OYuPfv292cvyG5/9jaPcVLcpG22668upbkLsJORkr1rpNTnbXHBNkSPZmOoG ZaNNd32ZFlLdiCRDyg4AAEBExEiYnNyVUul/cg9wHGXBqJ3IMMQwEoZh0vCyTIZuc/MTSz8hjhA4 KcAQXSNKw8CJCVJ2AAAAIoYYjmEkDMdx7v+mukHZiGEYhmHSL/diiBgiNvOzRlHL9Kt/kbIDAAAQ kSffcieMaTnWmxnSt+MzPWWE1ELKDgAAwJO+KSMAZC58JQQAAAAAEDWk7AAAAAAAooaUHQAAAABA 1JCyAwAAAACIGlJ2AAAAAABRQ8oOAAAAACBqSNkBAAAAAEQNKTsAAAAAgKjFdU9mm82WwKYAAAAA AGQGuVwesOXmzZsMw7AsG/1Btr95+dQTcwUFBfHe/bTgrq/EeQRYA+fcFfQ8X9Z2SNae+PpA96YL 59yVNz58I9WtAHFhOCpYWCr6YrHoi1tfun6r6IuFos8Xir64VXR9oeiLW0VfLHz8/odbj29NdTMh Y03tn0rsATExBgAAAABA1JCyAwAAAACIGlJ2AAAAAABRQ8oOAAAAACBqSNkBAAAAAEQNKTsAAAAA gKjFu8gjAABARln73UogaZhUNwAg1ZCyAwAAEBERRy4u97NbOxeW7lle2ZTq1sCqbff/vyLP2nMl m+RFzUX5D92ZK0t1W7KU2VGf6iYkF1J2AAAAIo5u0x3Xbz9/371FdxQWFOTlprpB4DE+bec4jiFG tFn7xtwtT+4w3Ft0FyInVcan7TST4dO9kbIDAAAQEX3uVN296U4uL/+yc4VdXEl1c8CDZTmO4xhG rAk7UWXZm0V3bELkpBDLZv6ENqTsAACQ9TjiiFtxFUry8q47b0dZadH2waJtfOGvF29f/5R1LiS1 geInKdiYe/e9BfKdmx6pyd+SyMkhLMsm8GiJx1GhZDMiJxrZGySJkAYp+6zDXiwtSXUrAAAgo3HE sdwtF8dxwsN1rHPh+lnDjZGhdWhXumCdC0uXZ5Yuz9wYOV1UVX/PM/sTdeRonpFU4og4BpETjewN kkQQecpuN7Soh2sHdE2pbkhGsRta1I79Fm2lb8uITtVq9vx//WFT224iGu1qaA98T1F2WLSVRI5B rabX5tuqOKjX7ytOerPjEeoEMx//rD08zyDZDS3qfit/T3lzX1+jdLUidfAixP2M13UbX6uK+tFX H0KuGdA1hfrWHVUgify58+tk3plG7mEiorGems4z3n/E1reQFBzHsSy7tOISLLl8eebTQd3K9c/W oVVp6sbI0Pw7lnvV2oKyHfEfTfwDqIicNci2IImfyFN2SDhPJqFc3TKiU7VOawaMTSVENHtS06Lq Omxq213ZZjS1+QqN9dR0fnTweXcONzsTY/aWWmFOMNXNWh9KfuY92tXQrpF6E8fAXZoaB3/LqhGd pre0w6ILsSscu6FF3V/WbdRXEY3oVGothcrahQNJ3M+dY1Cr6S3tsBg9PTOiU6kb7KtnFKGHx3pq OqnbaHKXtBta1A09afSaylgcy3JCH/ysc+Fzw88jZV0rzvnF2xvy79iYJyEiYpcXbi25iIhWt7nL EBFRbuGmguBP4tVKoWt5NvKKefBK+zco7N4wjxW6RbzWrh41dEXWufDpgK74hz8NebiYCD4pKSee yEnkoULWSmiBrAqS+CXz2lrHoFZV0+D9040GbW8ZnI1U2JNc2vrUDT0jREQ0ovMU0BhGB7WqrrHI D5SlRnSe/nF3iLeXiGZPahpU6n6qVyp4xUfPmal+rzedKm56SUlTDof/IUe7Os/UH/aOgI6dH1I+ lj65RTQnmCUq1c2KyeEL9lC72vSacvNx3kvSI2jEPTS7oUVjONnleXmODQ9by5tfcAdJlbaj3nZu OOjIUQSSqJ87u6G7lzQDvJ6p0nbU05lfGEK20K+HRy6c8fUPEZU07q+nM+fGQtWDOL3T8Y7jp47I f38++md3YZY4lhP4mzOfWr4c6kXkwS4/c2xiYuL0azuJiGjFWfby6Qm30y8rllkiYpcXnjrm2TZx 7KmF5cBcg11W+CpNnH65zLniPtRqLc/GXT8YmvA39INdgcda4FdTBD5Y6McKsOKcd5+G/jnfpm8f i/Sw7mM7Fz498WPBLhX+W9+l8jfe2Fj9h+pnLj4T+e/x4ccLbhV4zlQkkZPIQ4WqleACRGkbJCmR vJTdMzJnNFmMJsvhOjK3u3NH3/aBZup946Q9fOGSRv1As4LkmgHja1VEdkNL67RmwGiyGE0vOdp9 v6eHe6BsNtnfPrPXZDGaLHrNVOdq1q48bLIY9Wopv2xlm5E/bOmYng48mt1wfEiuUXvL2B0flU8f 935HaglO8kRG+ASzS2lJ6CtDih9Vyq3mP/qlm3ZDSzT5uttk/zmZ3mQxmvoaXTM2hfKbvjgrlsmt M58Elo8ikMT83DmGh63l1Y/6d2Zlm9HkN/uFj9fDUqlisv/fRvwriubXg8xy3333vS3EV5hlOTai hfF3/jZqivBw7LLi5X+sXf33yrePGQ7Izh+pqKg4cl52oOeVbSzR9ldPd9XODLxYUVFx5Hxt1+lX tgXkMrt+8MYBGY0cqahQH5+RHTD89DtExD6r76ql4Y6KioqOYdkBg/5ZlsaP7qmoqKioqPi7h7/3 qxkiGvnV0XH/Bm175XRXrbsBIyQ78EZgbh3ysfysOOefOjZhOOB3rSD7bF0tuVtTUVFRsSfgYX0W P3h3YfydyL0ahfXOxh5//HHBsDl06JCvvFgiJ4GHClkrsQW80jRI1l/yUvYqrWn1k373Y9717UfP man+0UoiKmnUW7y/lYcpzDc60G/1jbdVPa8pF3ig7Kbs8Hz8Fze9pKShC6Pu/98nlBPYDd29trqX /HIOv54nIofDOkm17u9OFmMrvSH+rH1VqBPMHqMD/dZyabjLDqSlpTTp4D2XYz0Bs7EFyGur3cee tU8F7QweHY81kET23M3O2GirNKbGrPZwSaO+W3mmNW2+92YNwaRg+fJMxPrLipd7DjD21ULP1dUS Wc4aich41kKybz25nehrpTKiGeu430Y+dyZ+6C3n/KKLiOyOKSLaVS4jmvlogogmPpohkpWvJt8r 5S/3HJDR+SOHjAFN2v7kt2RkGRqcn58ffGnbrm8E5dYhH8vPc/qJrtrAjdu3yohmpv4yPz8/Px9y ZN5n8YN3487GxD7nQSyRk8BDhayV2AI82RAk8Uv2ovPeqSzeCxln7VOkkG2JrjBfQMXiR5XyqOtm H35aJpUqaNoe4cc4H+/8Y78JtQFD7OT+jrQ6L1laWmrt/W16TEYKeYIZzty+OmesoX0q4ArIyBUv PBbbz1bhxu/DiCmQMu+5q9K6v6uYupXW3hZVjXf6H6QSJ8T54aXwtT250olfnlvdFDjwJyv9GhHD EBHnWiGiFRfn2RjCnt4JwwH6VWNd11+IaNw2SySTlc7Pz5fKZESzNm/yzS4/03JARvYTPw9M2Ikt L5XRjOyfBOdS+D+WH8kG+4kXK9TH+TknW14qI5IdMAhN0SAi58QlwY4VFPbo4iCayEnYoULXSmgB vmwIkvgl7/JTz0IKcvelY6NdDe2JKpzAuuDlGNRqesl7nR9v+/Cwtby6NUIqJpUqSCyziyMId4KZ ThnttBb3tJPyau+XPbl7lnZlt/JMa2dPbUy5cnHJ1qBtggPS4QNJnM9dsUxOZoeDdvudl33WUVIc 7kz9e9irSmuyaB2DWs0vDC9UieU3hGzFulwuV6R1PyIsoe3OlWTnjzROlvleLbvKQ608PeWwE9U+ 8dT8bwyNdUHj16uMhyqMDbqLhomyf/3GK6clv/3Hbc6fTXRNTHQRWdq2/V//03M9H7vtlX+sJTof OCfG1wAZWV6s0I036C6+3nX61enG//6fQo+V479rDxFtr/M77rZSIvuJF/ccHd/5L2/9uuv0Kx99 583JsIOAvl49+LD0O4r7A/aesl7t/UukjxE24pMiBiKJnAQeKnSthBYIkPFBEr+kjbKPnjMrDur5 o2hE5P4sD57VGqZwpIqzM7ao62Yf/vQGh8MqNPw52tWgMVf3herDWf9Jye7CKv6wq8MRYa6FSEQ4 QfCavWDmP9femHFfUtka21XdAZPXZ2dswb+tRRlIon3upNXVwdfyOobf0IS9An61hwPPPcSsJEgJ 4XG8pXCJF7vtlZ4Dsplf/bdB9wQTci3OO1fGrYHTIRiGaPzoniMjVNs1MTHRVToz49644px38x+w Np61ENXWPUfstldOT3TJBl6sqKh4cUDWNXH6Vc80g+1PfktGdN7sG2LnHer9KTvx5z+4RzqFHitc gVXjR/d4J7CPnz43Q7JvPbUzbK86F3z997M/209Zr/L3nrJe/dmf7ek+gCqOyHGWJy4I3w9ZK/4C 4TowC4IkfsmcGOP7zHYMatuHPJNZK2t9U6tnT2pWfwsOWZivUt2sGOr0LR3DnwAjWDf7+CYzjPW0 mhXexRlDcgxqw8+XGDs/RGWlfnlUpbpZ4XkGidxfmfxzerGJeILgMdrV0jep3B9qfX33UicxXdUt ra72f7X6prnzDhtFIIn6uStpbD1IfWrtSV/WPqLT9NrqukP/rMHvYfe7GW8K++zJX3gv8oFUYjmB iwglX7onTNVd3/4v3pkihgOe/+vdQxIJ+U0/sNuniNjlhcGXtu36RkVFxTf+x7TMvXFP7+riKytO X7a84uKISCKhXc/8FxnRzOT7RPT+5AyRrGybu9HlpTKi4T+sTorhH2rKbvdrAEkkwo/lVyDk6fJq sS6WiBhJ2HRCUnQPvw/1l6bfmrzi3vXW5BX9pWnhScqiz8bEETlv/NcEBmHIWvEXCCMbgiR+SZsY U9l2uK6mU+VOrOsPm7ovqFods0TSKm3fQa2mpsGzvSpi4ZJv1pb393mWOm7UD1CLukFFRKSsq6cz kR8oWWeWFpR11KmqIRK+z9HsBbONJm2amn5+dd5sCnlJQFeWNOq7dSr3M5gG91ESPMGsZW6v4d1o qby5zxJ2qZOm9uZz6k4VRb0megn/1cq/ldJYT82JEvc/wwaSr4zYnzvpPp2pVKdSN/R5Nsj9Z++E 7+GSRr1F2lPTour17FQc1JtE/TrKEu6P/ggFcqQK17WQv4aMH91TcdT9v9sPGQb203F1448/JKKR 1x/zTD94opbsJ34/TrTrB0O/3ltyrm3bPxka67wbxw9V+JLuPb0Tr1fN/KpR1f1+4xO1RCNmI43v PG/ft1dWVjY///6uMtnqhaLuC0FneNmQkXco2nnevm+vrwE0YjYSkcBj+RUIiVdr199/S+Y5h9A2 3PdAQK8ee/cj95io/tJ0xIfxiPykiIFYIocOH07YoRpC1Iq/QBjZECTxY+L5KcFmsxXc9ZUEtiYG o10N7dEnEJnGOXclfM9HuZB2RonYIZksa098faB704Vz7sobH74Rcpfjpw7+Mo4hVT1R9fV/+TrL sn9xPJl/9+YIJdlrH986/iOB1ux8+a1f76UTL3oWZ9n58lu/3ltC5J37HW5b8DHcX/9GjlR414Fp +PHF1z1TlFe3Nvz44utVvELBfNVCP1joxwpdarUAr1aYc/AqfPYfchQPhd0dhaXrnz0sPS2RSCj8 zIpgDEcFC0tFXywWfXHrS9dvFX2xUPT5QtEXt4quLxR9cavoi4WP3/9w6/HgC29o442N3y/6fnu7 wIVxb7/99veGv+e8w0ksVd7/7yKJnEQeKoYwXWsBr4QEyejV55K+qEospvZPyeXygI03b95kGCam Lxjb37x86om5goICpOxpCSl7gKxNrbL2xNcHujddJCxlt9fnRUy8iMhp7FuxvrfGhmafnAd3F/z9 3jgPsnz9s4dLhkSdst93CpGzZokKktFr38nslD15K8YAQGZxDGo1vluY8ZWLdbo5QGxcLOsS+ijN qXvBde1j7uYX69OktMbkF+bUPCvYpYLiP0KyIXLWLHuCJH5pm7JXthkj3Ucsm1VpTZZUtwEykXSf zrQv1Y0ASCKO4zjBD/7c/NynD9z+3S+5m9fXpVFpK78wp66JcvOFu1SI+BcDQeSsUTYFSfzSNmUH AAAQ8sXiF1VPCNxVIO9Lee7/YTkuqnUnNn81t7lt5exJ9oOL8bcwIzEPbM19upnyCxOyjsf6Lway sLDwySeB61EHuHHjhu//ETlrkO5Bsv6QsgMAQMb6+stfj6ocRxTFuh98EuV3mbKdrO2v3Mc2mse4 KVF+IeUVMJu3SHY8wpQ9yBJRguYqrPNiIEsbl/qu9PW93idYcvmry+7/QeREK1OCJCWQsgMAABAR cbEkXkREsh2MbEcsl0RmBY4o/nkOfgdc32zMlev6XPp5TFUQObFK9yBJCaTsAAAARESSHAnrckW4 KxCkhPinKTMbGEROaok/SOKHlB0AAIAYhinIX1lcclJefqrbAn5crCvVTRCwwszlLOUjclJI/EES P6TsAAAARETb7v/f/+tP2yUFhblCa2zDehL/+OnkXHsZ24HISSHxB0n8kLIDAEDWY4ghJi9n8dGv vzd7WX7js79xlJvqNoHHpru+nOomRCQhJ3vVSq/J2eaCa4ocycZUNygbbbrry7SQ6kYkGVJ2AAAA IiJGwuTkrpRK/5N7gOMoC0bt0gFDDCNhGEbc12oydJubn1j6CXGEwEkBhugaxXRz3HSElB0AAICI IYZjGAnDcZz7v6luEHgwDMMwjKgTMoaIIWIzP2sUtUy/+hcpOwAAABF58i13bij2Yd1skxbPRqan jJBaSNkBAAB40iI7BIAsg6+EAAAAAACihpQdAAAAAEDUkLIDAAAAAIgaUnYAAAAAAFFDyg4AAAAA IGpI2QEAAAAARA0pOwAAAACAqCFlBwAAAAAQtbjuyWyz2RLYFAAAAACAzCCXywO23Lx5k2EYlmWj P8j2Ny+femKuoKAgway8bAAAIABJREFU3rufFtz1lTiPAGvgnLuCnufL2g7J2hNfH+jedOGcuxL8 0QgQmc1m23p8a6pbARlrav9UYg+IiTEAAAAAAKKGlB0AAAAAQNSQsgMAAAAAiBpSdgAAAAAAUUPK DgAAAAAgakjZAQAAAABEDSk7AAAAAICoxbsuOwAAAECWy5Vskhc1F+U/dGeuLNVtyVJmR32qm5Bc SNkBAAAA1m5j7pYndxjuLbrrjsKCgrzcVDcnG41P22kmw+eOIGUHAAAAWLvKsjeL7tjE5eVfdq6w iyupbk42Ylku1U1IOqTsAAAAAGvFUaFksyQv77rzdpQ1Fm0fLNrGF/568fb1T1nnQlJbJyqSgo25 d99bIN+56ZGa/C2JnEHEsmwCjyZOaZCyzzrsxdKSVLcCAAAAIAhHxDG3XBzHCQ/0ss6F62cNN0aG 1qFdIsQ6F5Yuzyxdnrkxcrqoqv6eZ/Yn6sjRdH66E3nKbje0qIdrB3RNqW5IRrEbWtSO/RZtpW/L iE7Vavb8f/1hU9tuIhrtamgPfE9Rdli0lUSOQa2m1+bbqjio1+8rTnqz45B2DU4M/tPq4XkGyW5o Ufdb+XvKm/v6GqWrFamDFyHuDqzrNr5WFfWjrz6EXDOgawr61h0hwMKehTc4RcSvk3lnGrmHiYjG emo6z3j/EVvfAoC4sCy7tOISLLZ8eebTQd3K9c/WoUnid2NkaP4dy71qbUHZjviPhlF2yDyeTEK5 umVEp2qd1gwYm0qIaPakpkXVddjUtruyzWhq8xUa66np/Ojg8+50anYmxuwt1dKuwYnjlwSPdjW0 a6TexDFwl6bGESJjJqIRnaa3tMOiC7ErHLuhRd1f1m3UVxGN6FRqLQVl7RECjP/QIYMz+oYklWNQ q+kt7bAYPc0e0anUDfbVSIvQw2M9NZ3UbTS5S9oNLeqGniwNUYAMwLEsJ5Qyss6Fzw0/D52vrzjn Fz2TanILNxW4UzN2eeHWkouIaEP+HRvzJAElVwsm61AhayW0AOtc+HRAV/zDnwY/eKwE+z8DJPPa WsegVlXT4P3TjQZtbxmcjVTYk1za+tQNPSNERDSi8xTQGEYHtaquscgPlKVGdJ7+cXeIt5eIZk9q GlTqfqpXKnjFR8+ZqX6vN50qbnpJSVMOh/8hR7s6z9Qf9o5Mj50fUj6WTrlF2jU4WSrVzYrJ4Qv2 ULva9Jpy83HeS9IjaMQ9NLuhRWM42eV5eY4ND1vLm19w93mVtqPedm446Mg8/gHG2x5FcKaM3dDd S5oBXs9UaTvq6cwvDCFb6NfDIxfO+PqHiEoa99fTmXNjoeoBwDrLdebusOwQ/NsyscVXhSWO5QT+ 5synli+HevtllxeeOjbhdeyphWWWiFacZS+f9mw7/bJimQ0s6S2YpEOFrJXgAkTurP3EjwV7T/iP Mn9iTPJSds/InNFkMZosh+vI3O7OHX3bB5qp942T9vCFSxr1A80KkmsGjK9VEdkNLa3TmgGjyWI0 veRo981zCPdA2Wyyv31mr8liNFn0mqnO1axdedhkMerVUn7ZyjYjf9jSMT0deDS74fiQXKP2lrE7 PiqfPu79jtQSnOSJTdo1OLlKS0JfGVL8qFJuNf/RL920G1qiydfdJvvPyfQmi9HU1+iasSmU3/TF WbFMbp35JGzFgADjEQ7O1HEMD1vLqx8N/unAb/YLH6+HpVLFZP+/jfhXFM2vBwDZLXcpt6mmafwP 4xH+zh4/m7eY56vCshwb0cL4O38bNYV+vF0/GOqqtZ94saKi4sWBmdqu069uJ1r59jHDAdn5IxUV FUfOyw70vLKNJdr+6umu2pmBFysqKo6cr+06/co2NmmHClkrsQW8Fj94d2H8ncgdGAWk7GtXpTWt ftLvfsy7vv3oOTPVP1pJRCWNeov3t/IwhflGB/qtvvG2quc15QIPlN2UHZ6P/+Kml5Q0dGHU/f/7 hHICu6G711b3kl/O4dfzRORwWCep1v3dyWJspTfEngSnXYOTZnSg31ouDTeLX1paSpMOXteM9QTM xhYgr612H3vWPhW0M/zoeGCAhRMqOFNodsZGW6UxNWa1h0sa9d3KM634GgmQGQTTyeXLM2Erjx/d U1Gx5+g4Eb0/OUMkK9tG9FxdLZHlrJGIjGctJPvWk9uJvlYqI5qxjvttTNKhQtZKbAGexQ/ejTtl z/yJMcmey+536Ri5P8sVyi3RFeYLqFj8qFLex38BRKqbffhpmVSqoGG7nSqjSInc84/9JtS6R0AH eLl+ldZkWf2XtLTU2vrb0X3RDcSmRNo1OJHM7TW8K1ADr4CMXJE6LIepprO969HoBoDDjd9HFBxg YYqFCM60VqU1WbRE7veuFlUvrkAFSF8cJ7BcjPPDS8JHWXGWlcmI7I4pYssC9slKv0bEMETEuVaI clZcnGfjfyblUEFj1okvwOecuPQl7kDofdHBijHx8OTQcvelY6NdDe2JKpzAuuDlGNRqesl7nR9v +/Cwtby6NUIqJpUqSCyzi6OSdg2OS6g1WMJwTE9TebX3y57cPUu7slt5prWzpzambLK4ZGvQtjAD 0sIBFj44U6tYJiezw0G7/c7LPusoKQ73pci/h72qtCaL1jGo1fzC8EKVWH5DAIBYsC6XyxVpxRjh xdfZ5YWnjhkOyGjkyNFx2qUKtWb5lMNOVPvEU/O/MTTW1Sb1ULvKBRZNj79AAF8HHnxY+h3F/QF7 T1mv9v4l0kc3G7H/M0PSJsaMnjMrDupNloBlIopLtlLwrNYwhSNVnJ2xRV03+/CnNzgcVqHhz9Gu Bo25ui9UH876T0p2F1bxrxZwOCLMtRCDtGtwisxeMPOfa2/MuC+pbI3tqu6AyeuzMzaFLPRva8EB FiBCcKaWtLo6+Fpex/AbmrBXwK/2cGBMhpiVBABphBO0FDllX3GWvXy6q5bsJ148ZCSicWvgRBqG IRo/uufICNV2TUxMdJXOzLg3rjjn3TyXkCbmUO+HrBV/gXAd6FzwddXP/mw/Zb3K33vKevVnf7YL 9nGkDs4IyVwxxveZ7RjUtg95JrNW1vqmVs+e1HiXgglTmK9S3awY6vQtHcNf0VmwbvbxXYM71tNq VgSvncfjGNS2T4WbLzF2fojKSv3y20p1s8LzDBK5vzJFTLlSLu0anBKjXS19k8r9oZardy91EtNV 3dLqav9Xq2+ae4AQAcYXMThTraSx9SD1qbUnfVn7iE7Ta6vrDv2zBr+H3e9mvCnssyd/4b3IBwDS D8sJXH4q+dI9EWp7RsXtJ150z0MnIomEPBNXaMXFEdntU0Ts8sLgS9t2faOiouIb/2Na5t64p9ez KMvQD3Yl8FAha8VfIAxJ0T387tJfmn5r8op711uTV/SXpoVnsmdByp60iTGVbYfrajpV7sS6/rCp +4Kq1TFLJK3S9h3UamoaPNurIhYu+WZteX+fZ6njRv0AtagbVEREyrp6OhP5gZJ1ZmlBWUedqhoi 4dsGzV4w22jSpqnp51fnzaaQlwR0ZUmjvluncj+DaXFborRr8DoJmuZuCbvUSVN78zl1p4qiXhO9 hP9q5d9Kaayn5kSJ3xrtQQG2WkYwOFNMuk9nKtWp1A19ng1y/9k74Xu4pFFvkfbUtKh6PTsVB/Um hCVAuhK8/DFHqnBdC/M72kr5y6e7amnmV//S8cd5Ivcy6UbzyOuPeSauPFFL9hO/Hyfa9YOhX+8t Ode27Z8MjXXejeOHKoxJOBQ1hKgVf4EwNtz3QEAHHnv3I/fAuf7SdISO9cmGy0+ZeH5KsNlsBXd9 JYGticFoV0N79AlEpnHOXQnf81EupJ1RInZIJsvaE18f6N504Zy7IpfLU90KSDM2m23r8eALb2jj jY3fL/p+e3ukC+M++eSTqn+umv7GNBERS5X3/3v+3ZsjlGevfXzr+I9C72v48cXX/S4WGjlScchI tPPlt369t4SIaHXMPNS25BwqmhLxF/AqfPYfchQPhd0dhaXrn41efS6pc0diNbV/Kvh96ebNmwzD xPQFY/ubl089MVdQEOp2VwAAAAAQLaG51My9W3IUD61Y3wuxz8gfmeYZP7qn4mgU25JzqGhKxF+A iIhyHty9YeuueCejY2IMAICHY1Cr8d3CjC+GtSMBADKPi2VdQuOmOXUvuK59zN38Yn2alC6Y/MKc mmcFe09Q/EcQv7RN2SvbjGHuI5b1/JchB0gU6T6daV+qGwEAIDocx3GCKWNufu7TB27/7pfczevr 0qh0kF+YU9dEufnCvSckG1aMSduUHQAAACAJ/vCHP1y8eDFCAZfLRfmr/2Q5LqoVSzZ/Nbe5beXs SfaDSAfPEswDW3Ofbqb8woQs9oIVYwAAAACyyELRwvDjwzFVEVwxhk+i/C5TtpO1/ZX72EbzWTbi nl9IeQXM5i2SHY8wZQ+yRJSgCS3ZsGIMUnYAAACAteNiSdmJiGQ7GNmO8HcWynwcUfyTYfwOiJQd AAAAACJgNjCsy8VIxLTEYJbBXHYAAAAAiGSFmctZyqe8fOGikBwu1pXqJiQdUnYAAACAtZucay9j OyQFhbkRb6gEyZMFg+xI2QEAAADWTEJO9qqVXpOzzQXXFDmSjaluUDbadNeXaSHVjUgypOwAAAAA cWDoNjc/sfQT4oiyYLhXdBiia0SZfj0vUnYAAACAODBEDBGb+VmjqGX61b9I2QEAAADilukpI6QW 4gsAAAAAQNSQsgMAAAAAiBpSdgAAAAAAUUPKDgAAAAAgakjZAQAAAABEDSk7AAAAAICoIWUHAAAA ABA1pOwAAAAAAKKGlB0AAAAAQNTivfupc+5KQtoBsULPB8jaDsnaE18f6N50YbPZUt0ESD9T+6dS 3QSAaMWbshfc9ZWEtANi4py7gp7ny9oOydoTXx/o3nThnLuy9fjWVLcC0szU/imEDSRPwr8QYmIM AAAAAICoIWUHAAAAABA1pOwAAAAAAKKGlB0AAAAAQNSQsgMAAAAAiBpSdgAAAAAAUUPKDgAAAAAg avGuyw4AAJAxciWb5EXNRfkP3ZkrS3VbMorZUZ/qJiQXIidJMj5yooeUHQAAgIhoY+6WJ3cY7i26 647CgoK83FQ3J3OMT9tpJpN/10fkJEnGR05MkLIDAAAQEVWWvVl0xyYuL/+yc4VdXEl1czIHy3Kp bkJyIXKSJOMjJyZI2QEAAIg4KpRsluTlXXfejrLGou2DRdv4wl8v3r7+KetcSGrr1oGkYGPu3fcW yHdueqQmf0siZ3ewLJvAo4kOIgeRsy6QsgMAABBxRBxzy8VxnPDAHutcuH7WcGNkaB3atW5Y58LS 5ZmlyzM3Rk4XVdXf88z+RB05mi5NY4gcRM66QMqeheyGFrVjv0Vb6dsyolO1mj3/X3/Y1LZ7jdtF LvoTzyT8cyS5ZkDXVBK83U3Z4e4cu6FF3W/l7ylv7utrlK4ekDp43egY1Gp6bXXdxteqom7V6kPw mhS+5bEdPBVGuxraKUNDKIuwLLu04hIstnx55tNB3cr1z9ahSalyY2Ro/h3LvWptQdmO+I+W8WOl iBwfRE7yIGXPNp5USbm6ZUSnap3WDBibSoho9qSmRdV12NS2O+btIhf9iWcQx6BW01vaYTF60usR nUrdYF9Nf5X8zHu0q6FdI/Wm5oG7NDUO/pZVIzpNb2mHRRdiVzh2Q4u6v6zbqK9yN0lLwVm73dDS avZk6nZDi7qhR/RZO6Q/jmU5oRSBdS58bvh5+KyLXV64teTKLdxUkMPfQES0If+OjXmhL6SLvVby C7DOhU8HdMU//GmYM42BYK+mO0ROwJkicpIhmVfhOga1qpoG759u1L11RKfSGEZ9u7rGPKXthhaN 4WRXg6qmQaUxONwlazz/HB3U+kqGPiz4hOthmj2paVCp+6leqeAVHz1npvq93oSpuOklJU05HLFv F7HYTjxz2A3dvaQZ4OXZVdqOejrzC0PI06xUNysmhy/YQ+1q02vKzccHZwN3BI24h2sJ/9U9Njxs LW9+ocrXJNu54cAjjw70W+sPe3L0ksbWg/JwzU4l3nuUX7fZDS3e96gWXqfhvSsVSv9UKvhXPF7s LswSx3ICf3PmU8uXQ71MiIhWnPNlL5+emJjQP+fb4t4wMTExcfplxXKoBGQNtdahAJE79zrxY8E+ Ef6jdJrekLeQF03YbLZv9lVB5ATIzshJtuSl7J6xN6PJYjRZDteRud2XO072t8/sNVmMJoteM9Wp 4m0/J9ObLEZTX6PUbmhpndYMGE0Wo+klR3uvTfiw4BOuh5WHTRajXi3ll61sM/KHlh3T02vbLmqx nHjGcAwPW8urH/Ufva5sM5p8U1xCKC0JOUeFih9Vyq3mP/olzXZDSzT5uhvv1e2asSmU3/S1oVgm t8584l961j5FCtkW37+lpaU06Qj6xpBS/u9RfUO87er+sm7Pe1RZb4sna8d7V2rsWNoxcmwk8t/d l+92F2ZZjo1oYfydv42awjzUinP+qWMThgP8q+9Wvn3McEB2/khFRcWR87IDPa9sC0xw1lRrHQp4 LX7w7sL4O5G7JQrplHjl3M753te+FzlmTrWfuvOLO31VEDnBsjByki15KXuV1rT6Wb77Mb+V8JUd nlSpuOklJQ1d8I42yWurPWMdowP9Vt8IaNXzmvJoDgs+IXu4uGmf0KwPu6G711b3UlBKF+t2cYnj xNPZ7IyNtkqjP6PRgX5rubQ4zN6gpHmsJ2C+uwDfq3vWPhW0M/D3jeKSrcTP40X4hcr/PUrb4X0v cgwPr/4+QLtf61Zae387SnjvSpUNGzZsEeIrLJg+LF+eCf9Qz+knumoDt9XVElnOGonIeNZCsm89 uT0RtdahAM/iB+/GnXil2fSGjRs3Ro6Z++67j18ekRNSFkZOUiV7eXrvD8ft/Iuj+WmBVKqgabvn pyLfCF/AGFvxo0q58GHBJ2wPR+QdHQycMRzr9rSTMScSM3P76jyNhvYp3jWmwhUvPBbbUHG48fvQ KmuVNNTZM+L+19i/+X5nE4vA3wGKZZ73qNkZG3974AsQ712ixglxfngpfG3JBvuJFyvUx3m5WdAQ oaz0awmotQ4F+JwTlwR7RlDYo2cERE5IiJzESt7lp57VHuTuy/tGuxraxXzYrOcY1Gp6yXst5tq3 p52MOZFgxTI5mR0O2u2XhdtnHSXF3i3KaKe1uMe5y72/gpHcPUW+slt5prWzpzambzvFJVuDtgX/ GlClNXWTqrXhjLudA80fqUU3lT02eO9KA6zL5XJFWvcj4hLaxkN7iGh7HW/TrnLBNarXUmsdCgTw dcvBh6XfUdwfsPeU9WrvXyK9QNmIvZoBEDnhIHISKGkp++g5s+KgXr8v1M/sk45ZIs8ntMNhpdL9 JUR+w8C+n8U91WdnbMKHBZ+QPRzeaFdD+1RznyVwhDXW7WknY04kJGl1taJ3+IK9kf9txDH8hqa3 NPpM3Wv2gtmmUL7q7SjvkHmVtqPe3N6qeyyWA3onr6++uv2GpX2qtCaL1tPsQa21fm+MbU6qsO9R AWfnewGODuC9S/wER/W4pdjuejNunSHyS3EYhmjFOb94myjsghyCtd5PUoEwOOeCr1t+9mc7EfFz r1PWq+6NEWT8WCkiJyRETmIlc2KMbyqqY1DbPsSfrur7MX2sp9WsOPh88CdxpbpZ4ftZfETH/xE5 /GHBR7iHfRyD2pAzImLdnnYy5kTCKmlsPUh9au1J3qwMTa+trjvWfJ1Gu1r6JpX7Q6Wb7sVkYrqS Ulpd7f/qXr2IxccxqPWsHEXepW/U4lp/M9x7lN/Z+b8A8d4leiwncBGh5Ev3xHZEiYSIONcKEa24 OCK7fYpoT69nvY2hH+xaW60kFQh3EkX38DtBf2n6rckr7l1vTV7RX5oWno+c6YkXIid0cxA5CZW0 UfbKtsN1NZ0q98dY/WFT9wVVq2/oV1lHnaoaIqKww04ljfoBalE3qNzl6+mM8GHBJ4oe9pi9YLbR pE1T08+v3mF53h7b9pizwFQLd+JpdyKRSPfpTKU6lbqhz7NBHvUUIHN7De9GS+URfosobmpvPqfu VEV/IyG/Vzf/VkpjPTUnSgZ0TSUk3afrmGnwPjvhb7eUQvyzKG/W1FNf8HbeCxDvXenAnSREKJAj VbiuxbJ0kdE88vpjtU88Nf8bQ+MTtWQ/8ftxovFDFcY4azUkpUAYG+57IKBbjr37kXv4U39pOppu iNyrGQCRExIiJ7GYeH50sNlsBXd9JcZKUS7k7A93FvTnnLsSvufX1MNpLmKHZLKsPfH1ge5NF865 K1uPB18jQUT0zMVn3n777cjVH655+L3H3yOWKu//9/y7N0coyV77+NbxH0U82M6X3/r13pKRIxWH jPwNRET2Ey/uORo6v4m91joU8Cp89h9yFA+F3R2FpeufjV59LukLXsRoav9UyLDZeGPj94u+394e 6XKTTz75pOqfq6a/MU1EiJxwMjVyojS1f0oulwdsvHnzJsMwMX0V2f7m5VNPzBUUFODupwAAAETk mZIcYT9z75YcxUMr1vfCFxk/uqfiaMQNiam1DgWIiCjnwd0btu6Kd0pxxk9vQOQEQeQkHFJ2AEgE x6BWE3IpxvKMvmAAMoqLZV1Co185dS+4rn3M3fxifZqUWkx+YU7Ns4J9Iij+I4gcIicAIicZ1j9l r9KaLDFXqmwzhrtrGARaUw8DxEm6T2fal+pGAMSF4zhOMEXIzc99+sDt3/2Su3l9XRqVOvmFOXVN lJsv3CdCMn7dD0SOH0ROcmCUHQAAMtaNGzc6OjqiLMxyXFQrVGz+am5z28rZk+wHF+NqnIgxD2zN fbqZ8gsTsmRH2q378ac//Sly2Cws+C3aiMjxyfLISSqk7AAAkLH+WPnHPy78UaCQ91Zggut+8EmU 32XKdrK2v3If22g+I8ZN8wspr4DZvEWy4xGm7EGWiBI0LSG91v1Y3LT4H1/7j/9Y+I/IxdidqyeF yEHkrAOk7AAAkLGWNy5HX5iLJfEiIpLtYGQ7wt9JJl1xRPFPafA7YFolXpyEiylsCJHjleWRk2xI 2QEAAIiImA0M63IxkvRcUk7EMn5GMiInSTI+cmKClB0AAICIaIWZy1nKp7z8VDck07hYV6qbkFyI nCTJ+MiJCVJ2AAAAIqLJufYytkNSUJgb8bY4EKuMHypF5CRJxkdOTJCyAwAAEEnIyV610mtytrng miJHsjHVDcocm+76Mi0IF0tXiJykyfDIiRFSdgAAACIiYug2Nz+x9BPiiDC8lygM0TWizLvWkg+R kwzZEDmxQMoOAABAREQMEUPEIktIgsy+MhORkzyZHTmxQMoOAADAgxQB1gaRA8mE+AIAAAAAEDWk 7AAAAAAAooaUHQAAAABA1JCyAwAAAACIGlJ2AAAAAABRQ8oOAAAAACBqSNkBAAAAAEQNKTsAAAAA gKghZQcAAAAAELV4737qnLuSkHZArNDzAbK2Q7L2xNcHujddTO2fSnUTIP0gbCCNxJuyF9z1lYS0 A2LinLuCnufL2g7J2hNfH+jedOGcu7L1+NZUtwLSzNT+KYQNJE/CvxBiYgwAAAAAgKghZQcAAAAA EDWk7AAAAAAAooaUHQAAAABA1JCyAwAAAACIGlJ2AAAAAABRQ8oOAAAAACBq8a7LDgAAkDFyJZvk Rc1F+Q/dmStLdVsyitlRn+omJBciJ0kyPnKih5QdAACAiGhj7pYndxjuLbrrjsKCgrzcVDcnc4xP 22kmk3/XR+QkScZHTkyQsgMAABARVZa9WXTHJi4v/7JzhV1cSXVzMgfLcqluQnIhcpIk4yMnJkjZ AQAAiDgqlGyW5OVdd96Ossai7YNF2/jCXy/evv4p61xIauvWgaRgY+7d9xbId256pCZ/SyJnd7As m8CjiQ4iB5GzLpCyAwAAEHFEHHPLxXGc8MAe61y4ftZwY2RoHdq1bljnwtLlmaXLMzdGThdV1d/z zP5EHTmaLk1jiBxEzrpAyp6F7IYWtWO/RVvp2zKiU7WaPf9ff9jUtpuIRrsa2gPfU5Qd/FpEjkGt xlzd19coTXKTEyO6E880/HMkuWZA11QSvN3N+/zaDS3qfit/T3nz6rM8olO1Ej8SHINaTa+trtv4 WlXUrVp9CF6TAo311HSeCW6AKI12NbRThoZQFmFZdmnFJVhs+fLMp4O6leufrUOTUuXGyND8O5Z7 1dqCsh3xHy3jx0oROT6InORByp5tPKmScnXLiE7VOq0ZMDaVENHsSU2LquuwqW13ZZvR1OYrNNZT 0/nRwecr/Q/V3Wuj8ur1anp8oj7xlLUwCRyDWk1vaYfF6HniRnQqdYN9Nbf2+w422tXQrpF6M+PA XZoaR8AXNvIeU9Nb2mHRhdgVjt3Qou4v6zbqq9xN0lKIrH2sp+ZEyYDRVOJtQJc0w54dEB+OZTmh FIF1Lnxu+Hn4rItdXri15Mot3FSQw99ARLQh/46NeaEvpIu9VvILsM6FTwd0xT/8aZgzjYFgr6Y7 RE7AmSJykiGZV+E6BrWqmgbvn27UvXVEp9IYRn27usY8pe2GFo3hZFeDqqZBpTE43CVrPP8cHdT6 SoY+LPiE62GaPalpUKn7qV6p4BUfPWem+r3ehKm46SUlTTkc/occ7eo8U39Yv6+Yt232ZMdwWb08 eeeROGs/8fRmN3T3kmaAl2dXaTvq6cwvDCFPs1LdrJgcvmAPtatNryk3Hx+cDdwRNOIeriX8V/fY 8LC1vPmFKl+TbOeGA4/sGDxxprz6UW8eX9lmFGO+znuP8us2u6HF+x7Vwus0vHelwj2OewT/7r58 t7swSxzLCfzNmU8tXw71MiEiWnHOl718emJiQv+cb4t7w8TExMTplxXLoRKQNdRahwJE7tzrxI8F +0T4j9JpekPOck40YXPnF3f6qiByAmRn5CRb8kbZ/cbexnpqOtu7HvV86E72t289bLLsDhzanOw/ p9SbLMVERHbaJ1fDAAAgAElEQVRDi28EdESnarVRvdBhwSdcDysPm/p2k93QMrSas1W2GU28qo7p aSL/CQh2w/EhuWbAr5Mdg2+cU77aSm+cmUreaSTO2k48zTmGh63l1a3+o9cBZx2ktKSEKMSHSvGj Snmf+Y+OfcWrfWQ3tESTr7vxXt2jXf0K5au+4xTL5NaZT4j4XwhpdsbGLyNGge9R5HmP4v+GQGM9 NS0tpNfvK8Z7V4p8Y/obhw4dilzmhz0/vP7V60TEslzkH+KdH17622i4l9CKc/6pYxNdtX7bvn3M cEB2/kiF1tigu/h6zyu//86bk5K4a61DAa/FD95dGH+nYPv/EaFbBKXXuh95i3nP0XPPPvtshDI3 btz4V8O//u3Lf3P/E5ETLAsjJ9mSN8pepTWtfpbvfsxvJXxlh+eDqrjpJSUNXfCONslrqz0f26MD /VbfCGjV85ryaA4LPiF7uLhpn1B+YDd099rqXvKbNOz3XPiKmatb/QbdxWyNJ57uZmdstFUa/RmN DvRby6XhnlRpaSlNOniD4WM9AfPdBfhe3bP24K95gb9vuMt8clLTEPRjkVj4v0dpO7zvRY7hYWv9 Ye/Uo92vdSutvb8dJbx3pUphYeG3hfgKs0KWL8+Ef6jn9AH5ExE9V1dLZDlrJCLjWQvJvvXk9kTU WocCPIsfvCvYM4LC95sYSaXSyDGjVCr55RE5IWVh5CRVspen9/5w7HchIz8tkEoVNG33jOqVlnjy wln7FClkW7yFih9V+k/ACHlY8AnbwxF5Rwf9LiJ0D7Gr+Snv7MmO4dr2DMpuQ554VjC3r87TaGif iv4ST3N7zYXHLIfryNwebTLte3VHy9p7gtqNJovRZDF2UKfIsvaA9ygqlnneo2ZnbPztgS9AvHeJ GifE+eGl8LUlG+wnXqxQH+flZkFDhLLSryWg1joU4HNOXBLsGUFhj54REDkhIXISK5kTY1StZiK5 +4fj0a6GdjEfNus5BrWaXvJei8nbHjS5wj0lRh9j+iVa4U48AxTL5GR2OGi3XxZun3WU+Ca3BC4B FIFjeprKvb+Ckdw9Rb6yW3mmtbOnNqZvO8UlW4O2hfo1QHHwVd+TUqluVqgvjLbtjuEiV7HBe1ca YF0ulyvSuh8Rl9A2HtpDRNvreJt2lQuuUb2WWutQIICvWw4+LP2O4v6AvaesV3v/EulKIDZir2YA RE44iJwEStoo++g5s+Kg3mQJtXwb/+d1h8MaYvituGQrWWc+8f17dsYmfFjwEe5hP6NdDRpzdV+o Xp2dsSmU3+SlU7MXzDZrb4t7pFDTa6PJfk3aXkgX4cQzgLS6OvhyUsfwG2t6vmYvmPmR4I0o9/Ws rbEd0Dt53XvogGFpotBpvbiEfY8KODvfCxDvXelAeMRvKba73oxbA6dDMAzRinPebSH0pXuCtd5P UoEwOOeCrwN+9mf7KetV/t5T1qs/+7M9y8dKETkhIXISK5kTY3yfW45BbfsQf7qq78f0sZ5WsyJg 6UAicg+qDXX2jBAR0YiO/yNy+MOCj3AP+zgGteFnRIydH6KyUv705uKmPs9cBZPF2HdQTuXNfVGP 1IpKxBPPCCWNrQepT609yZuVoem11XXH/HyNdrX0TSr3h7p6wb2YTNTTY4jc3yX8Xt2rF7GsHlbd TO4p4O4GDPRb6x8VVZiFe4/yOzv/FyDeu0SP5bjI02olX7ontiNKJETEuVaIaMXFEdntU0R7ej3r bQz9YNfaaiWpQLiTKLqH3wn6S9NvTV5x73pr8or+0rTwfORMT7wQOaGbg8hJqKRNjKlsO1xX06ly f4zVHzZ1X1C1OmY9S3Io66hTVUNEpDio14e8irGkUT9ALeoGlbt8PZ0RPiz4RNHDHrMXzDaatGlq +vnVefMl5CWZ2bmCJ54JpPt0plKdSt3Q59kgj3oKkLm9hnejpfLmPku47zbFTe3N59SdquhvJOT3 6ubfSsm9FruuqcRdxtBS4509IsIbXfHPorxZU099wdt5L0C8d6UDd5IQoUCOVOG6FrTYaQRG88jr j9U+8dT8bwyNT9SS/cTvx4nGD1UY46zVkJQCYWy474GAbjn27kfu4U/9pelouiFyr2YARE5IiJzE YuL50cFmsxXc9ZUYK0W5kLM/3FnQn3PuSvieX1MPp7mIHZLJsvbE1we6N104565sPR56MtUzF595 ++23I1d/uObh9x5/j1iqvP/f8+/eHKEke+3jW8d/FPFgO19+69d7S0aOVBwy8jcQEdlPvLjnaOj8 JvZa61DAq/DZf8hRPBR2dxSWrn82evW5pC94EaOp/VMhw2bjjY3fL/p+e3uky00++eSTqn+umv7G NBEhcsLJ1MiJ0tT+Kbk88O41N2/eZBgmpq8i29+8fOqJuYKCAtz9FAAAgIg8U5Ij7Gfu3ZKjeGjF +l74IuNH91QcjbghMbXWoQAREeU8uHvD1l3xTinO+OkNiJwgiJyEQ8oOAIngGNRqem0hdpRn9AUD kFFcLOsSGv3KqXvBde1j7uYX69Ok1GLyC3NqnhXsE0HxH0HkEDkBEDnJsP4pe5XWZIm5ktAtG4Fn TT0MECfpPp1pX6obARAXjuM4wRQhNz/36QO3f/dL7ub1dWlU6uQX5tQ1UW6+cJ8Iyfh1PxA5fhA5 yYFRdgAAyFiLi4uCc9l9WI6LaoWKzV/NbW5bOXuS/eBiXI0TMeaBrblPN1N+YUKW7Ei7dT8cDkfk sLlx4wb/n4gcnyyPnKRCyg4AABlr5O9GRoZHIpfhKj1pgeC6H3wS5XeZsp2s7a/cxzaaz4hx0/xC yitgNm+R7HiEKXuQJaIETUtIr3U/nHc6B3MGB4cHIxdz7Vi9yw8iB5GzDpCyAwBAxnLe4Yy+MBdL 4kVEJNvByHaEv5NMuuKI4p/S4HfAtEq82A1sTGFDiByvLI+cZEPKDgAAQETEbGBYl4uRpOeSciKW 8TOSETlJkvGRExOk7AAAAEREK8xczlI+5eWnuiGZxsW6hAulM0ROkmR85MQEKTsAAAAR0eRcexnb ISkozI14WxyIVcYPlSJykiTjIycmSNkBAACIJORkr1rpNTnbXHBNkSPZmOoGZY5Nd32ZFlLdiORB 5CRNhkdOjJCyAwAAEBERQ7e5+YmlnxBHhOG9RGGIrhFl3rWWfIicZMiGyIkFUnYAAAAiImKIGCIW WUISZPaVmYic5MnsyIkFUnYAAAAepAiwNogcSCbEFwAAAACAqCFlBwAAAAAQNaTsAAAAAACihpQd AAAAAEDUkLIDAAAAAIgaUnYAAAAAAFFDyg4AAAAAIGpI2QEAAAAARA0pOwAAAACAqMV791Pn3JWE tANihZ4PkLUdkrUnvj7Qveliav9UqpsA6QdhA2kk3pS94K6vJKQdEBPn3BX0PF/WdkjWnvj6QPem C+fcla3Ht6a6FZBmpvZPIWwgeRL+hRATYwAAAAAARA0pOwAAAACAqCFlBwAAAAAQNaTsAAAAAACi hpQdAAAAAEDUkLIDAAAAAIgaUnYAAAAAAFGLd112AACAjJEr2SQvai7Kf+jOXFmq25JRzI76VDch uRA5SZLxkRM9pOwAAABERBtztzy5w3Bv0V13FBYU5OWmujmZY3zaTjOZ/Ls+IidJMj5yYoKUHQAA gIiosuzNojs2cXn5l50r7OJKqpuTOViWS3UTkguRkyQZHzkxQcoOAABAxFGhZLMkL++683aUNRZt Hyzaxhf+evH29U9Z50JSW7cOJAUbc+++t0C+c9MjNflbEjm7g2XZBB5NdBA5iJx1gZQdAACAiCPi mFsujuOEB/ZY58L1s4YbI0Pr0K51wzoXli7PLF2euTFyuqiq/p5n9ifqyNF0aRpD5CBy1gVS9ixk N7SoHfst2krflhGdqtXs+f/6w6a23UQ02tXQHvieouzg1yJyDGo15uq+vkZpkpucGMEnbje0qPut RERU1218rSpVLUsm/pNLcs2ArqkkeLub9/nldYtHefPqszyiU7USPxIcg1pNry22Dlx9CF6TAo31 1HSeCW6AKI12NbST57UDaYtl2aUVl2Cx5csznw7qVq5/tg5NSpUbI0Pz71juVWsLynbEf7SMHytF 5PggcpIHKXu28aRKytUtIzpV67RmwNhUQkSzJzUtqq7DprbdlW1GU5uv0FhPTedHB5+v9D9Ud6+N yqvXq+nxCT5xGutR95d1G/VV7r3ak2Fzx3TlGNRqeks7LEbPEzeiU6kb7Ku5td93sNGuhnaN1JsZ B+7S1DgCvrCR95ia3tIOiy7ErnDshhZfz4/oVGothej5sZ6aEyUDRlOJtwFdUiTEkGQcy3JCKQLr XPjc8PPwWRe7vHBryZVbuKkgh7+BiGhD/h0b80JfSBd7reQXYJ0Lnw7oin/40zBnGgPBXk13iJyA M0XkJEMyU3b32Jv3X94MYESn+oW0Qznc7t7lHdMlu6Glg2q39vcNeUfUfKOA5c0dyuH2mb3ukqEP Cz7hephmT2pa+iZJUa9U8IbPR8+Zqf6wN2EqbnpJ2fcLh4N280c0R7s6z9QfNu0r5m2bPdkxXFYv t04l+XQSIPSJOwZPnClv7nMnryXfrC3vPzc82+R3jmnObujuJc0A7wVSpe2oN7f/wvBCVYgR60p1 s0I9fMHe2BS8q02vmWo5Pvh8ZUD/BI24h2sJ/9XdqRy2lje3Vvma1HA8qOcdgyfOlFf3efP4yjaj KZpTXme89yjNVt523s8UioN6vffU8N6VCrv/Y/d9990XuczMjZn3Hn+PiFjiWKEf4ufMp5Yv28Ps XHHOb33VZDggs/w/FS//T/eWspdPGw7IiIhmfvW9b/93W3CGs4Za61CAyJ17nfjxPf/n/x25TwSx lE7TGzbe2PjIxUeKiooiF1tcXBz5uxHnHU5C5ASdT3ZGTrIlb+Ecz9ib0WQxmiyH68jc3jXm2TXZ 3z6z12Qxmix6zVSnirf9nExvshhNfY1Su6GldVozYDRZjKaXHO2+z7kIhwWfcD2sPGyyGPVqv2yt ss3IH7x0TE8HHs1uOD4k16j9Bjgdg2+cU776QrqsPhvqxKX7dCbfXAv7H89NymurMyhfJ3IMD1vL qx/1H72ubDOaIs0wKS0J/TtD8aNKudX8Rwd/m93QEk2+7sZ7dbtmbArlN31tKJbJrTOfBBSf9S8j Rv7vUX1DvO3q/rJuz3tUWW9Ly+AsEd67UuW+++57W4ivMMtybEQL4+/8bTTc18cV5/xTxyY8uYx3 27ePGQ7Izh+pqKg4cl52oOeVbYGDhmuqtQ4FvBY/eHdh/J3I3RKFNEu8Hn/8ccGwOXTokK88IidY dkZOUiUvZa/SmlY/y3c/5rcSvrLDkyMWN72kpKELo57tqznT6EC/tX6vZ+i36nlNeTSHBZ+QPVzc tE9oXoHd0N1rq3vJL6Xzey58xczVrWkzIB3xxO2GlpoGlbqfDr6aYbNiZmdstFUafdY7OtBvLZeG e1KlpaU06Zhd3TDWEzDfXYDv1T1rD/5lZsrh92XAU+aTk5oGVU2DqqZBJb7s1v89StvhfS9yDA9b 6w97px7tfq1bae397SjhvSstCKYPy5dnwtd+Tj/RVRu4ra6WyHLWSETGsxaSfevJ7YmotQ4FeBY/ eDfuxCvDpzcgckJC5CRWspenH9G5P3H9LmTkpwVSqYKm7Z6finwjfLP2KVLItngLFT+qlAsfFnzC 9nBE3tFBv4sIQwyxz57sGK5tF/W1gDEoadRbjCaLcf9MiwjzwiQzt9d4c+Kahvap6C/xNLfXXHgs tqHicOP3YVl7T1C7e0za2EGdInt2At6jqFjmeY+anbHxtwe+APHeJWqcEOeHl8LXlmywn3ixQn2c l5sFDRHKSr+WgFrrUIDPOXFJsGcEhT16RkDkhITISazkzWX3zPKUu69rHO1qaBfzYbOeY1Cr6SXv Rai87cPD1vLq1hJ+yTfOKV/VZ9aANHlmcl8YbdudMdOLi2VyMgdelkD2WUdJsXdLDNOpHdPTVO6b OSR3T5Gv7Faeae3sqY1psZ3ikq1B20L9GqDg/e6RCc8O3rvSAOtyuVyR1v2IuIS28dAeItpex9u0 q1xw9uBaaq1DgQC+bjn4sPQ7ivsD9p6yXu39iyOo0io2Yq9mAEROOIicBEraKPvoObPioN5kCbUE B//ndYfDGmL4rbhkK/Gnt87O2IQPCz7CPexntKtBY67uC9WrQVOKZy+YbdbeFvdIoabXRpP9mhrd aGC9NDDa5T/dwuGIZZpHGpBWVysmhy/4/8DiGH5jTc/X7AUzPxK8EVWl7ainM62xHTBg8nrgsDRR 6LReXMK+RwVOzfe+APHelQ6ER/yWYrvrzbg1cDoEwxCtOOfdFpZD/uovWOv9JBUIg3Mu+DrgZ3+2 n7Je5e89Zb36sz/bs3ysFJETEiInsZI5Mcb3ueUY1LYP8aer+n5MH+tpNSsClg4kIveg2lBnzwgR EY3o+D8ihz8s+Aj3sI9jUBt+RsTY+SEqK+VPby5u6vPMVTBZjH0H5VTe3JeeC19UqpsVq9dRuDOq SB2VfkoaWw9Sn1p7kjcrQ9Nrq+uO+fka7Wrpm1TuD3X1QmWbXlMe25WU0upq/1d3iAt/K9XN5J4C 7m7AQL+1/lFRPTvh3qP8zs7/BYj3LtFjOYGLCCVfuie2I0okRMS5VohoxcUR2e1TRHt6J9yGfrBr bbWSVCDcSRTdw+8E/aXptyavuHe9NXlFf2laeD5ypideiJzQzUHkJFTSJsZUth2uq+lUuT/G6g+b ui+oWh2zRO4ln+uoU1VD5L8Cmp+SRv0AtagbVO7y9XRG+LDgE0UPe8xeMNto0qap6edX582XkJdk aueWNOoHDC01nvkJQh2VlqT7dKZSnUrd0OfZIA+e+xSGub2Gd6Ol8uY+S7hp7sVN7c3n1J2q6G8k 5Pfq5t9Kyb0Wu66pJPDZ4a1VKhr8syhv1tRTX/B2XlzhvSsduJOECAVypArXtdkIBQIZzSOvP1b7 xFPzvzE0PlFL9hO/HycaP1RhjLNWQ1IKhLHhvgcCuuXYux+5hz/1l6aj6YbIvZoBEDkhIXISi4nn RwebzVZw11dirBTlQs7+cGdBf865K+F7fk09nOYidkgmy9oTXx/o3nThnLuy9XjoyVTPXHyGv4xj SA/XPPze4+8RS5X3/3v+3ZsjlGSvfXzr+I8iHmzny2/9em/JyJGKQ0b+BiIi+4kX9xwNnd/EXmsd CngVPvsPOYqHwu6OwtL1z0avPpf0BS9iNLV/KmTYbLyx8ftF329vF7jc5O233/7e8PecdzgROeFk auREaWr/lFwuD9h48+ZNhmFi+iqy/c3Lp56YKygowN1PAQAAiMgzJTnCfubeLTmKh1as74UvMn50 T8XRiBsSU2sdChARUc6Duzds3RXvlOKMn96AyAmCyEk4pOwAkAj+t/bkKY9+7UiA1HKxrEto9Cun 7gXXtY+5m1+sT5NSi8kvzKl5VrBPBMV/BJFD5ARA5CTD+qfsVVqTJeZKIr1duTitqYcB4iTdpzPt S3UjAOLCcRwnmCLk5uc+feD2737J3by+Lo1KnfzCnLomys0X7hMhGb/uByLHDyInOTDKDgAAGWvm xszDNQ9HLrNcsOz+H5bjolqhYvNXc5vbVs6eZD+4GH8LxYl5YGvu082UX5iQJTvSbt2PhYWFTz75 JHKZGzdu+P4fkeOT5ZGTVEjZAQAgY733eITZw4EE1/3gkyi/y5TtZG1/5T620XxGjJvmF1JeAbN5 i2THI0zZgywRJWhaQnqt+7G0canvSl/f632CJZe/6v2yh8hB5CQfUnYAAAAiIi6WxIuISLaDke0I fyeZdMURxT+lwe+AaZV4uXJdn0s/j6kKIsctyyMn2ZCyAwAAEBExGxjW5WIk6bmknIhl/IxkRE6S ZHzkxAQpOwAAABHRCjOXs5RPefmpbsj/3979x7Rx330A/9hgMLR5Qtek65Py05iu6drmkRZloxQy sWLRrqVdsz1UiRld/UiRmNRafdrpgSd6PKoIpCdVxbqVjUmsYoFImeZmcrWVOZmlmBKrqG2Wp8/o gzAe2G5D0j0LSZ4Sk+C75w//4M72+Wzw2efz+yX+SM7fu3zvex9fPnzv+/2e0gSZYK6rIC1EjkQU HzlpQcoOAABARDS/Yqlj+tXaMk3S1+JAuhTfVYrIkYjiIyctSNkBAACI1BRgLrnpFR3Trb2sL1aX 57pCyrGt4ku0mutKSAeRIxmFR06akLIDAAAQEZGKbrHX59Z+RiwRuvcyRUV0mUh5cy25EDlSKITI SQdSdgAAACIiUhGpiBhkCRJQ9sxMRI50lB056UDKDgAAwIEUATYHkQNSQnwBAAAAAMgaUnYAAAAA AFlDyg4AAAAAIGtI2QEAAAAAZA0pOwAAAACArCFlBwAAAACQNaTsAAAAAACyhpQdAAAAAEDWkLID AAAAAMjaVt9+GlhZzkg9IF1o+RgF2yAFe+LZgebNFwtdC7muAuQfhA3kka2m7NqKuzNSD0hLYGUZ Lc9VsA1SsCeeHWjefBFYWa4/Xp/rWkCeWehaQNiAdDL+CyEGxgAAAAAAyBpSdgAAAAAAWUPKDgAA AAAga0jZAQAAAABkDSk7AAAAAICsIWUHAAAAAJA1pOwAAAAAALK21XXZAQAAFEOj3qbb3r299MHb NTW5rouiOHztua6CtBA5ElF85KQOKTsAAAARUblm12O7rTu3V9xWptWWaHJdHeWYXfTSkpKf6yNy JKL4yEkLUnYAAAAiosa6n26/bRtbUnoxsM7cWM91dZSDYdhcV0FaiByJKD5y0oKUHQAAgIilMvUO dUnJlcCtFPe44fnkhmd29S8f3LryORNYlbR2WaDWlmvu2KnV3b/tay2luzI5uoNhmAweTXYQOYic rEDKDgAAQMQSsaovgizLinfsMYHVK2esV6cns1CvrGECq2sXl9YuLl2dfnd7U/udT3Rl6sipNGke Q+QgcrICKXsB8lp7jL4up7kxumV6yNDrCP+5/Yi9bx8RuQY6LLH3lNZ+7l5EvgmzydE8OnqgSuIq b1WiE9wQ3yBKwj130pnGhzqr47eHRK6v19pjHHNzP2no3rjK00OGXuJGgm/CbBrxtA3aXmlKuVYb /wSnShyphB//aDm+gq6BDgvFhRbkGYZh1taDosVuXlz6fGJo/crfslClXLk6PXn9Q+dOo1lbt3vr R1N8XykiJwqRIx2k7IUmnCq1bmyZHjL0LprGbZ3VROQ/aeoxDByx9+1r7LPZ+6KFZo61HP3r4e82 8g81OOKhhuZsVX2zBE4w/Gl8gyiIb8JsGqntd9rCF256yGDs8G7k1rwk2DXQYTFVRVLz2I9MLb7E GfP0kGmktt85lEa67LX2GMfqBm3DTaEqmSkuaxcPP/7RlHoFIbtYhmHFUgQmsPq/1l8KZ13MzdUv 1oKasm3aYu4GIqKi0tvKSxJPpEt/L+kLMIHVz8eHKv/95wJnmgbRVs13iJyYM0XkSEHKWbi+CbOh pSPyM+QKbZ0eMpisruhHAzPh0l5rj8l6cqDD0NJhMFl9oZIt4b+6JszRkokPC1FCLUz+k6YOg3GM 2lv1nOKusw5qPxhJmCo7n2+lBZ+Pf0jXwNHT7UeGD1VytvlP9k/VteukO49MET7BxA2iHF7r4AiZ xjl5dpO5v51O/8rqS1S80ditn5865030Ud+wqcFxfMIf+0Fcj7tQTbjf7pmpKXdD97NN0Sp5zk7F HZkjUfiF5PoKcu5RvGbzWnsi96geTqPh3pULu527RX/0M+EAYohlWJGfFcepmxcTfU2IiNYD1+te endubm746eiW0Ia5ubm5d1/S30yUgGxirywUIArlXid+Itom4j+UT8MbNAFNKmGza25XdBdETozC jBypSZeyh/vebHanze480kYOSzR3nB+zLB20O21257Bp4aiBs/1szbDdabOPHqjyWnt6F03jNrvT Zn/eZxnxiB8WooRauPWI3WkbNvKGsTT22bhP832Li7FH81qPT+pMRt4Tf9/Ea2dbX342H1afTXaC iRpEMXxTU+6G5ofje6+TDWSqrY4bo0JERJUPt+rcjvd5ub7X2pNKvh7C+XYHlzz61q9H61BZo3Mv fSa4Y6Lw25DDK8i/R41OcrYbx+oGw/eoupGecNaOe1du1JfXz/5pNvlP2fWyUGGGYZmkVmc//D+X XeCfWg9cf/zNOetz3Pvi+pNvWp+ree/VvXv3vvpezXPH/vUrsQnOpvbKQoGIG598tDr7YfJmSUE+ JV6aNU1nS2fymDlz/EzJjZLoLoiceAUYOVKTLmVvMts3/i/f9whvJfzW/nAKVdn5fCtNnov0Nun2 N4c70lzjY+5oz2jTd00NqRwWohK2cGXnIbGBtl7r4Iin7XleSse7FtFijubeBL2essc7wRQaJJ/5 lzxUX5V6MusaH3M3VAld1KraWpr3cTrDZ47FjHcXEf12+70LcR/GPdjh1Som/Dbk8gry71Hm/si9 yDc15W4/Ehl6tO+VwVb3yG9dhHtXXhBNH25eXBLe++nhuYH9sdva9hM5z9iIyHbGSTXffOy+TOyV hQIcNz75aMuJl8KHNyByEkLkZJbUy9NHHhzzZpJx04KqKj0tesOPiqI9fH7vAulros+cKh9u5Q/A SHhYiBJs4aQivYO8SYQJ+jj9J/un9ltkP+U0XsITLGgOy8Y4jQ7LQnfKM4kdlpZzj6TXVSzUf59U 8i72XIq5R1FlTfge5V/ycLfHfgFx75I1Vkzgf84L760u8p74/l7jcU5uFtdFWFN7bwb2ykIBrsDc edGWESV4dEVA5CSEyMks6aafhtej0IWm/bkGOixyPmzB802YTSMUmaPJ2T415W5o7q3mlnztbOvL w5tIv3JK6AQVrLJGRw6fj/bxsnCv31ddGdkivAZLHN/iIjVEnoKRLjREvnGw9XTv0WP70/otqLK6 Pm6bwKmFaugAABYiSURBVNOA+PDLY7h35QEmGAwGk637kXQJbduLzxDRfW2cTQ80iI4e3MxeWSgQ I9oshx+q+o7+yzGfnnJfGvkvoSdlRERM0lZVAESOEEROBknWy+4669AfHrY7Eyzfxnu87vO5E3S/ VVbXE3d4q3/JI35YiBJvYR7XQIfJ0TyaqFX9/GHHRP5zDo97pCfUU2ga8dD8mEn2E+mSnKCCVTU3 x08n9U29tqnr5T/n4EZCJKJC81l70ztgzOD12G5p7r8aG37yIXiPih2aH/kC4t6VD8R7/NbSe+vN rDt2OIRKRbQeuB6ymnjqnuhe/y1RAQFsYDXaAL+44D3lvsT99JT70i8ueAu8rxSRkxAiJ7OkHBgT /X/LN2G2THKHq0Yfps8c63XoE63d1mjs1k8ePTZNRETTQ9yHyMKHhSjxFo7yTZiFR0TMvDdJdbXc 4c2VnaOh+XM2u9M2elhHDd2j8l7RPOkJKlr1gd7DNGo0n+SMyjCNeNoG075eroGe0fnWrkSzF0KL yaQ1k7KquZn/7d6YxMIXH34yInSP4p0d/wuIe5fsMazIJEL1P9yZ3hHVaiJig+tEtB5kibzeBaJn RsLrbUz+2wOb20uiAkInsf1ObiMMn198e3459NHb88vD5xfFxyMrPfFC5CSuDiInoyQbGNPYd6St 5agh9N9Y+xH74DlDr89PFFryuY2OGlqIiPSHhxOt3UZUfWB4nHqMHYZQ+XY6LX5YiEqhhcP85xwe mveYWsa4u3PGS+iq87txRU9QyaoODdlrhwzGjtHwBl3KQ4MclhbOi5YaukedQr/zVHZaus8ajxpS f5EQ79vNfZXSzLGWE9W8Ndrjwy++TI5wz6Kh29ROo/HbOV9A3LvyQShJSFKguEofvJxsSdJYNsf0 fzyy/9HHr//GeuDR/eQ98cdZotkX99q2uFeHJAUEFN11T0yzvPnRX0Pdn8PnF1NphuStqgCInIQQ OZml2spDB4/Ho624O82dUlzImQ9vFuQLrCwLt/ymWjjPJW0QJSvYE88ONG++CKws1x+PnyNBRPTE B0+88847yXd/qOWhj7/1MTHU+OXfld6xI0lJ5vKnXxz/z6QHu/+lt399sHr61b0v2rgbiIi8J77/ zOuJ85v098pCgYiyp/6lWP+g4McpWLvyN9elpyVf8CJNC10LCcOm/Gr5j7b/yGJJNt3ks88+a/ph 0+I/LRIRIkeIUiMnRQtdCzpd7Ntrrl27plKp0vpV5L6fXjz16IpWq8XbTwEAAIgoPCQ5yeeqnbuK 9Q+uuz8WLjL7+jN7X0+6ITN7ZaEAEREVf3VfUf0DWx1SrPjhDYicOIicjEPKDgCZ4Jswm6KvPONq KMiJBJCXggwTFOv9Km57Nnj5U/ba37NTpdxSlZYVtzwl2iaitn4EmUPkxEDkSCH7KXuT2e5Me6fG PpvQW8Mg1qZaGGCLqg4N2Q/luhIAW8KyLCuaImhKNd9+7tbv32KvXclKpXKntKy4rZM0peJtIkbx 634gcngQOdJALzsAACjW5cuXn3zyyRQLMyyb0goVO/5R0923fuYk88kHW6qcjKnuqdd8u5tKyzKy ZEferfvxpz/96YMPkl3cYDBIpRt/ReREFXjkSAopOwAAKNbM42ksQCq67geXuvV7qrr7Gc9f2E89 dF0R/aalZVSiVe3Ypd79NVXdVxkiytCwhPxa92N1++rUt6bS2gWRg8jJAqTsAAAARERsOokXEVHN blXNbuE3yeQrlmjrQxp4B1R64oXICUHkSAopOwAAABGRqkjFBIMqdX4uKSdjih+RjMiRiOIjJy1I 2QEAAIiI1lUrxWulVFIqXhTSEWSCua6CtBA5ElF85KQFKTsAAAAR0fyKpY7pV2vLNElfiwPpUnxX KSJHIoqPnLQgZQcAACBSU4C55KZXdEy39rK+WF2e6wopx7aKL9FqrishHUSOZBQeOWlCyg4AAEBE RCq6xV6fW/sZsUTo3ssUFdFlIuXNteRC5EihECInHUjZAQAAiIhIRaQiYpAlSEDZMzMROdJRduSk Ayk7AAAAB1IE2BxEDkgJ8QUAAAAAIGtI2QEAAAAAZA0pOwAAAACArCFlBwAAAACQNaTsAAAAAACy hpQdAAAAAEDWkLIDAAAAAMgaUnYAAAAAAFlDyg4AAAAAIGtbfftpYGU5I/WAdKHlYxRsgxTsiWcH mjdfLHQt5LoKkH8QNpBHtpqyayvuzkg9IC2BlWW0PFfBNkjBnnh2oHnzRWBluf54fa5rAXlmoWsB YQPSyfgvhBgYAwAAAAAga0jZAQAAAABkDSk7AAAAAICsIWUHAAAAAJA1pOwAAAAAALKGlB0AAAAA QNaQsgMAAAAAyNpW12UHAABQDI16m2579/bSB2/X1OS6Lori8LXnugrSQuRIRPGRkzqk7AAAAERE 5Zpdj+227txecVuZVluiyXV1lGN20UtLSn6uj8iRiOIjJy1I2QEAAIiIGut+uv22bWxJ6cXAOnNj PdfVUQ6GYXNdBWkhciSi+MhJC1J2AAAAIpbK1DvUJSVXArdS3OOG55MbntnVv3xw68rnTGBV0tpl gVpbrrljp1Z3/7avtZTuyuToDoZhMng02UHkIHKyAik7AAAAEUvEqr4Isiwr3rHHBFavnLFenZ7M Qr2yhgmsrl1cWru4dHX63e1N7Xc+0ZWpI6fSpHkMkYPIyQqk7AXIa+0x+rqc5sbolukhQ68j/Of2 I/a+fUTkGuiwxN5TWvu5exH5JswmR/Po6IEqiau8VV5rj3HMTUREbYO2V5riP+U3iJJwLy7pTOND ndXx20Mi15fTXGEN3RtXeXrI0EvcSPBNmE0jngQNm8TGP8GpEkcq4cc/Wo6voGugw0Lh7w7kLYZh 1taDosVuXlz6fGJo/crfslClXLk6PXn9Q+dOo1lbt3vrR1N8XykiJwqRIx2k7IUmnCq1bmyZHjL0 LprGbZ3VROQ/aeoxDByx9+1r7LPZ+6KFZo61HP3r4e828g81OOKhhuZsVX3TZo4Zx+oGbcNNodM3 n+TmiPENoiC+CbNppLbfaQtfuOkhg7HDu5Fb85Jg10CHxVQVSc1jPzK1+BJnzNNDppHafudQGumy 19oTvSLTQwajmeKydvHw4x9NqVcQsotlGFYsRWACq/9r/aVw1sXcXP1iLagp26Yt5m4gIioqva28 JPFEuvT3kr4AE1j9fHyo8t9/LnCmaRBt1XyHyIk5U0SOFKScheubMBtaOiI/Q67Q1ukhg8nqin40 MBMu7bX2mKwnBzoMLR0Gk9UXKtkS/qtrwhwtmfiwECXUwuQ/aeowGMeovVXPKe4666D2g5GEqbLz +VZa8Pn4h3QNHD3dfmT4UCVnm/9k/1Rdu06688gU38SJ0w3dz4aS1Oqv72/wnJ3yE5FQgyiH1zo4 QqZxTp7dZO5vp9O/svoSFW80duvnp855E33UN2xqcByf8Md+ENfjLlQT7rd7ZmrKHb0iTeb+9ugV SSxR+IXk+gpy7lG8ZvNaeyL3qB5Oo+HelQu1f64V/amcDQcXQyzDivysOE7dvJjoa0JEtB64XvfS u3Nzc8NPR7eENszNzc29+5L+ZqIEZBN7ZaEAUSj3OvET0TYR/6F8Gt5QslqSStjs8O6I7oLIiVGY kSM16VL2cN+bze602Z1H2shhieaO82OWpYN2p83uHDYtHDVwtp+tGbY7bfbRA1Vea0/vomncZnfa 7M/7LCMe8cNClFALtx6xO23DRt4wlsY+G/dpvm9xMfZoXuvxSZ3JyHvi75t47Wzry8/mw+qzVYeG 7NFBHd73z87r9jdHkr9EDaIYvqkpd0Pzw/G918kGMtVWx41RISKiyodbdW7H+7xc32vtSSVfD+F8 u4NLHn3r16N1qKzRuZc+E9wxUfhtyOEV5N+jRic5241jdYPhe1TdSE84a8e9Kzd2r+2efnM6+c8d F+8IFWYYlklqdfbD/3PZBf6p9cD1x9+csz7HvS+uP/mm9bma917du3fvq+/VPHfsX78Sm+Bsaq8s FIi48clHq7MfJm+WFORT4lV8q/if7/3n5DFzynLq9r/fHt0FkROvACNHatKl7E1m+8b/5fse4a2E 39ofzhErO59vpclzkd6mjVzKNT7mjnb9Nn3X1JDKYSEqYQtXdh4SG2jrtQ6OeNqe56V0vGsRLeZo 7k3Q6yljoY5P4xgdfnnjkYJog+Qz/5KH6qtST2Zd42Puhiqhi1pVW0vzPk5n+MyxmPHuIqLfbr93 Ie7DuAc7vFrFhN+GXF5B/j3K3B+5F/mmptztRyJDj/a9MtjqHvmti3DvypWioqJdYqKFRdOHmxeX hP+pp4fnBvbHbmvbT+Q8YyMi2xkn1XzzsfsysVcWCnDc+OSjLSdeeTa8oby8PHnM3HXXXdzyiJyE CjByJCX18vSRB8e8mWTctKCqSk+L3vCjomgPn9+7QPqa6H208uFW/gCMhIeFKMEWTirSO8ibRJig j9N/sn9qv0X2U05jVB8YdtrsTlvXUo8BvZthDsvGOI0Oy0J3yjOJHZaWc4+k11Us1H+fVPIu9lyK uUdRZU34HuVf8nC3x34Bce+SNVZM4H/OC++tLvKe+P5e43FObhbXRVhTe28G9spCAa7A3HnRlhEl eHRFQOQkhMjJLOmmn4bXo9CF5jW6Bjoscj5swfNNmE0jFJmEytk+NeVuaO6t5pZ87Wzry8ObSL/k odHYrTeec/XtU+b6MByVNTpy+Hy0j5eFe/2+6srIFuE1WOL4FhepITqiSBcaIt842Hq69+ix/ems FUOV1fVx2wSeBsSHXx7DvSsPMMFgMJhs3Y+kS2jbXnyGiO5r42x6oEF09OBm9spCgRjRZjn8UNV3 9F+O+fSU+9LIfwk9KSMiYpK2qgIgcoQgcjJIsl5211mH/vCw3Zlg+Tbe43Wfz52g+62yup64w1v9 Sx7xw0KUeAvzuAY6TI7m0USt6ucPOybyn3N43CM9oZ5C04iH5sdM8p5I5xro4HWr+3zpDOfIY1XN zfHTSX1Tr23qevnPObiREImo0HzW3vQOGDN4PbZbmvuvxoaffAjeo2KH5ke+gLh35QPxHr+19N56 M+uOHQ6hUhGtB66HrCaeuie6139LVEAAG1iNNsAvLnhPuS9xPz3lvvSLC94C7ytF5CSEyMksKQfG RP/f8k2YLZPc4arRh+kzx3od+kRrtzUau/WTR49NExHR9BD3IbLwYSFKvIWjfBNm4RERM+9NUl0t d3hzZedoaP6cze60jR7WUUP3qLxXNG80dus35kuEMqdkDaIc1Qd6D9Oo0XySMyrDNOJpG0z7erkG ekbnW7sSzV4ILSaT1kzKquZm/rebMyGYJz78ZEToHsU7O/4XEPcu2WNYkUmE6n+4M70jqtVExAbX iWg9yBJ5vQtEz4yE19uY/LcHNreXRAWETmL7ndxGGD6/+Pb8cuijt+eXh88vio9HVnrihchJXB1E TkZJNjCmse9IW8tRQ+i/sfYj9sFzhl6fnyi05HMbHTW0EBHpDw8nWruNqPrA8Dj1GDsMofLtdFr8 sBCVQguH+c85PDTvMbWMcXfnjJfQVed741YfGB639rSExyGINYiiVB0astcOGYwdo+ENuvixTwIc lhbOi5YaukedQsPcKzst3WeNRw2pv0iI9+3mvkpp5ljLiWreGu3x4RdfJke4Z9HQbWqn0fjtnHjD vSsfhJKEJAWKq/TBy8mWJI1lc0z/xyP7H338+m+sBx7dT94Tf5wlmn1xr22Le3VIUkBA0V33xDTL mx/9NdT9OXx+MZVmSN6qCoDISQiRk1mqrTx08Hg82oq709wpxYWc+fBmQb7AyrJwy2+qhfNc0gZR soI98exA8+aLwMpy/fH4ORJERE988MQ777yTfPeHWh76+FsfE0ONX/5d6R07kpRkLn/6xfH/THqw +196+9cHq6df3fuijbuBiMh74vvPvJ44v0l/rywUiCh76l+K9Q8KfpyCtSt/c116WvIFL9K00LWQ MGzKr5b/aPuPLJZk000+++yzph82Lf7TIhEhcoQoNXJStNC1oNPFvr3m2rVrKpUqrV9F7vvpxVOP rmi1Wrz9FAAAgIjCQ5KTfK7auatY/+C6+2PhIrOvP7P39aQbMrNXFgoQEVHxV/cV1T+w1SHFih/e gMiJg8jJOKTsAJAJvgmzKfrKM66G1NeOBMitIMMExXq/itueDV7+lL329+xUKbdUpWXFLU+Jtomo rR9B5hA5MRA5Ush+yt5ktjvT3qmxzyb01jCItakWBtiiqkND9kO5rgTAlrAsy4qmCJpSzbefu/X7 t9hrV7JSqdwpLStu6yRNqXibiFH8uh+IHB5EjjTQyw4AAIp19erV/v7+FAszLJvSChU7/lHT3bd+ 5iTzyQdbqpyMqe6p13y7m0rLMrJkR96t+/HnP/85edisrvIWbUTkRBV45EgKKTsAACjW+43vv7/6 vkihyKvARNf94FK3fk9Vdz/j+Qv7qYeuK6LftLSMSrSqHbvUu7+mqvsqQ0QZGpaQX+t+3Nh24w/3 /uEPq39IXoy5f+OkEDmInCxAyg4AAIp1s/xm6oXZdBIvIqKa3aqa3cJvkslXLNHWhzTwDphXiRer ZtMKG0LkRBR45EgNKTsAAAARkapIxQSDKnV+LiknY4ofkYzIkYjiIyctSNkBAACIiNZVK8VrpVRS muuKKE2QCea6CtJC5EhE8ZGTFqTsAAAARETzK5Y6pl+tLdMkfS0OpEvxXaWIHIkoPnLSgpQdAACA SE0B5pKbXtEx3drL+mJ1ea4rpBzbKr5Eq+LF8hUiRzIKj5w0IWUHAAAgIiIV3WKvz639jFgidO9l ioroMpHy5lpyIXKkUAiRkw6k7AAAAEREpCJSETHIEiSg7JmZiBzpKDty0oGUHQAAgAMpAmwOIgek hPgCAAAAAJA1pOwAAAAAALKGlB0AAAAAQNaQsgMAAAAASG7btm2b3hcpOwAAAACArCFlBwAAAACQ NaTsAAAAAACyhpQdAAAAAEDWkLIDAAAAAGTbyspKzJa1tbW1tbWEhbf69tPAyvIWjwCbg5aPUbAN UrAnnh1o3nyx0LWQ6ypA/kHYQG698cYbTz311J49e0J/XVtbO3XqlE6n27dvH7cYy7Isy241ZddW 3L3FI8AmBFaW0fJcBdsgBXvi2YHmzReBleX64/W5rgXkmYWuBYQNSCfFXwhPnDhx48aNb3zjG6E/ X7hwQafTJSyJgTEAAAAAANn2wgsvhHrWL1y48MYbb1y4cGHPnj3RTvcYSNkBAAAAALKtoqLixz/+ cXFx8VtvveXxeHQ63Q9+8IPS0tKYYiqVSqVSIWUHAAAAAMiBiooKk8m0Y8eOPXv2vPDCC0lKbnUs OwAAAAAAbI5Opzt48OA999wjVCDUy46UHQAAAAAgZ4SmnIZgYAwAAAAAgKyp1Wqk7AAAAAAA8oWB MQAAADwa9bZ77/jhbZq62zU1ua6Lojh87bmugrQQORJRfOSkQq1WFxUVIWUHAAAgIirX7Hpst3Xn 9orbyrTaEk2uq6Mcs4teWlLystKIHIkoPnJSVFRUpFar/x80LPqzaLLNywAAAABJRU5ErkJggg== " style="image-rendering:optimizeSpeed" preserveAspectRatio="none" height="212.02832" width="219.69937" /> <path style="display:inline;fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1;marker-end:url(#marker5274-8-6-7-5)" d="m 595.90413,398.08621 10e-6,-33.39285" id="path5272-7-4-2-4" inkscape:connector-type="polyline" inkscape:connector-curvature="0" /> <path style="display:inline;fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1;marker-end:url(#marker5302-0-9-7-7-6)" d="M 534.72767,365.82626 420.30501,434.93302" id="path5270-0-9-2-0-53" inkscape:connector-type="polyline" inkscape:connector-curvature="0" /> <path style="display:inline;fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1;marker-end:url(#marker5302-0-9-7-7-6-8)" d="m 228.84532,348.8328 12.46187,49.84749" id="path5270-0-9-2-0-53-2" inkscape:connector-type="polyline" inkscape:connector-curvature="0" /> <flowRoot xml:space="preserve" id="flowRoot4230-55" style="font-style:normal;font-weight:normal;font-size:40px;line-height:125%;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#000000;fill-opacity:1;stroke:none;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1" transform="translate(-20.16739,-91.254775)"><flowRegion id="flowRegion4232-1"><rect id="rect4234-5" width="188.57143" height="34.285721" x="521.42859" y="205.21935" /></flowRegion><flowPara id="flowPara4236-68" style="font-size:22.5px">multi-area web</flowPara></flowRoot> <flowRoot transform="matrix(0.11890794,-0.99290529,0.99290529,0.11890794,-227.17711,1076.0558)" xml:space="preserve" id="flowRoot4230-8-8" style="font-style:normal;font-weight:normal;font-size:40px;line-height:125%;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#000000;fill-opacity:1;stroke:none;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1" inkscape:transform-center-y="0.6888992" inkscape:transform-center-x="3.4259773"><flowRegion id="flowRegion4232-46-4"><rect id="rect4234-30-1" width="176.59036" height="20.865274" x="521.42859" y="205.21935" /></flowRegion><flowPara id="flowPara4236-6-4" style="font-size:15px">direct read and control</flowPara></flowRoot> <g id="g19871" transform="translate(0,87.233115)"> <rect y="320.43707" x="175.52585" height="182.54306" width="239.18793" id="rect4881" style="fill:#bcd35f;fill-opacity:1;stroke:#445016;stroke-width:1.8534621;stroke-linejoin:round;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" /> <flowRoot style="font-style:normal;font-weight:normal;font-size:40px;line-height:125%;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#000000;fill-opacity:1;stroke:none;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1" id="flowRoot4230-3" xml:space="preserve" transform="translate(-328.31553,121.72999)"><flowRegion id="flowRegion4232-81"><rect y="205.21935" x="521.42859" height="139.6452" width="279.20322" id="rect4234-6" /></flowRegion><flowPara style="font-size:22.5px" id="flowPara4236-3">multi-area control:</flowPara><flowPara id="flowPara4910" style="font-size:22.5px">- contours</flowPara><flowPara id="flowPara4912" style="font-size:22.5px">- sub-runs</flowPara><flowPara id="flowPara4914" style="font-size:22.5px">- file/vcs sensors</flowPara><flowPara id="flowPara4916" style="font-size:22.5px">- events</flowPara></flowRoot> <rect y="446.1608" x="176.39276" height="55.511982" width="236.7756" id="rect4598-37" style="fill:#d3bc5f;fill-opacity:1;stroke:none;stroke-width:2;stroke-linejoin:round;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" /> <flowRoot style="font-style:normal;font-weight:normal;font-size:40px;line-height:125%;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#000000;fill-opacity:1;stroke:none;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1" id="flowRoot4230-6-7-1-4" xml:space="preserve" transform="translate(-358.53963,247.54394)"><flowRegion id="flowRegion4232-8-9-2-1"><rect y="205.21935" x="521.42859" height="52.412083" width="264.47556" id="rect4234-36-4-9-7" /></flowRegion><flowPara style="font-size:17.5px;text-align:center;text-anchor:middle" id="flowPara4236-0-4-9-8">configs and custom automation</flowPara></flowRoot> </g> <flowRoot xml:space="preserve" id="flowRoot19887" style="font-style:normal;font-weight:normal;font-size:40px;line-height:125%;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#000000;fill-opacity:1;stroke:none;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1" transform="translate(-24.923747,28.32244)"><flowRegion id="flowRegion19889"><rect id="rect19891" width="704.66223" height="84.967316" x="55.511982" y="19.159592" /></flowRegion><flowPara id="flowPara19893">Megatest Full System Architecture</flowPara></flowRoot> </g> </svg> |
Modified docs/manual/megatest_manual.html from [9d96457d70] to [453b3aeb82].
︙ | ︙ | |||
808 809 810 811 812 813 814 | </div> </div> <div class="sect1"> <h2 id="_why_megatest">Why Megatest?</h2> <div class="sectionbody"> <div class="paragraph"><p>The Megatest project was started for two reasons, the first was an immediate and pressing need for a generalized tool to manage a suite | | | | | | | > > > > | | > | > > > > > > > > > > > > | < < < < < < < < < < < | > | | | > > > > | > > > > | | | > > < < < < < < < < < < < < | | < < < < < < < < | < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < | | < < < > > | | < < < < | < < < < < < > < < < < | < < < < < < < < < < < < < | < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < | < < > > | < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < | < < < < > < < > > > > > | < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < | < < < < < < < < < < < < < < < < < < < < < < | < < < < < < > | > | | < < < < < < < < < < < | < < < < < | | < | < < < < < < < < < < < < < < < < < < < < < < < < < < > | < < < | | | | 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919 920 921 922 923 924 925 926 927 928 929 930 931 932 933 934 935 936 937 938 939 940 941 942 943 944 945 946 947 948 949 950 951 952 953 954 955 956 957 958 959 960 961 962 963 964 965 966 967 968 969 970 971 972 973 974 975 976 977 978 979 980 981 982 983 984 985 986 987 988 989 990 | </div> </div> <div class="sect1"> <h2 id="_why_megatest">Why Megatest?</h2> <div class="sectionbody"> <div class="paragraph"><p>The Megatest project was started for two reasons, the first was an immediate and pressing need for a generalized tool to manage a suite of regression tests and the second was the fact that I had written or maintained several such tools at different companies over the years. I thought a single open source tool, flexible enough to meet the needs of any team doing continuous integrating and or running a complex suite of tests for release qualification would solve some problems for me and for others.</p></div> <div class="literalblock"> <div class="content monospaced"> <pre>-- Matt Welland, original author of the Megatest tool suite.</pre> </div></div> </div> </div> <div class="sect1"> <h2 id="_megatest_design_philosophy">Megatest Design Philosophy</h2> <div class="sectionbody"> <div class="paragraph"><p>Megatest is a distributed system intended to provide the minimum needed resources to make writing a suite of tests and tasks for implementing continuous build for software, design engineering or process control (via owlfs for example) without being specialized for any specific problem space. Megatest in of itself does not know what constitutes a PASS or FAIL of a test or task. In most cases megatest is best used in conjunction with logpro or a similar tool to parse, analyze and decide on the test outcome.</p></div> <div class="ulist"><ul> <li> <p> Self-checking - make it as easy as possible to write self-checking tests (as opposed to using deltas, i.e. tests that compare with a previous measurement to deterine PASS/FAIL). </p> </li> <li> <p> Traceable - environment variables, host OS and other possibly influential variables are captured and kept recorded. </p> </li> <li> <p> Immutable - once a test is run it cannot be easily overwritten or modified accidentally. </p> </li> <li> <p> Repeatable - test results can be recreated in the future using all the original variables. </p> </li> <li> <p> Relocatable - the testsuite or automation area can be checked out and the tests run anywhere in the disk hierarchy. </p> </li> <li> <p> Encapsulated - the tests run in self-contained directories and all inputs and outputs to the process can be found in the run areas. </p> </li> <li> <p> Deployable - a testsuite is self-contained and can be bundled with a software project and easily used by others with little to no setup burden. </p> </li> </ul></div> </div> </div> <div class="sect1"> <h2 id="_megatest_architecture">Megatest Architecture</h2> <div class="sectionbody"> <div class="sect2"> <h3 id="_data_separation">Data separation</h3> <div class="paragraph"><p>All data to specify the tests and configure the system is stored in plain text config files. All system state is stored in an sqlite3 database.</p></div> </div> <div class="sect2"> <h3 id="_distributed_compute">Distributed Compute</h3> <div class="paragraph"><p>Tests are launched using the launching system available for the distributed compute platform in use. A template script is provided which can launch jobs on local and remote Linux hosts. Currently megatest uses the network filesystem to call home to your master sqlite3 database. Megatest has been used with the Intel Netbatch and lsf (also known as openlava) batch systems and it should be straightforward to use it with other similar systems.</p></div> </div> </div> </div> <div class="sect1"> <h2 id="_overview">Overview</h2> <div class="sectionbody"> <div class="sect2"> <h3 id="_stand_alone_megatest_area">Stand-alone Megatest Area</h3> <div class="paragraph"><p>A single, stand-alone, Megatest based testsuite or "area" is sufficient for most validation, automation and build problems.</p></div> <div class="imageblock"> <div class="content"> <img src="megatest-stand-alone-area.png" alt="Static"> </div> </div> <div class="paragraph"><p>Megatest is designed as a distributed or decoupled system. This means you can run the areas stand-alone with no additional infrastructure. I.e. there are no databases, web servers or other centralized resources needed. However as your needs grow you can integrate multiple areas into a bigger system.</p></div> <div class="sect3"> <h4 id="_component_descriptions">Component Descriptions</h4> <div class="olist arabic"><ol class="arabic"> <li> <p> Multi-area dashboard and xterm. A gui (the dashboard) is usually the best option for controlling and launching runs but all operations can also be done from the commandline. Note: The not yet released multi-area dashboard replaces the old dashboard for browsing and controlling runs but for managing a single area the old dashboard works very well. </p> </li> <li> <p> Area/testsuite. This is your testsuite or automation definition and consists of the information in megatest.config, runconfigs.config and your testconfigs along with any custom scripting that can’t be done with the native Megatest features. </p> </li> <li> <p> If your testsuite or build automation is too large to run on a single instance you can distribute your jobs into a compute server pool. The only current requirements are password-less ssh access and a network filesystem. </p> </li> </ol></div> </div> </div> <div class="sect2"> <h3 id="_full_system_architecture">Full System Architecture</h3> <div class="imageblock"> <div class="content"> <img src="megatest-system-architecture.png" alt="Static"> </div> </div> </div> </div> </div> <div class="sect1"> <h2 id="_installation">Installation</h2> <div class="sectionbody"> <div class="sect2"> <h3 id="_dependencies">Dependencies</h3> <div class="paragraph"><p>Chicken scheme and a number of "eggs" are required for building Megatest. See the script installall.sh in the utils directory of the source distribution for an automated way to install everything needed for building Megatest on Linux.</p></div> </div> </div> </div> <div class="sect1"> <h2 id="_getting_started">Getting Started</h2> <div class="sectionbody"> <div class="listingblock"> <div class="title">Getting started with Megatest</div> <div class="content monospaced"> <pre>Creating a testsuite or flow and your first test or task.</pre> </div></div> <div class="paragraph"><p>After installing Megatest you can create a flow or testsuite and add some tests using the helpers. Here is a quickstart sequence to get you up and running your first automated testsuite.</p></div> <div class="sect2"> <h3 id="_creating_a_megatest_area">Creating a Megatest Area</h3> <div class="sect3"> |
︙ | ︙ | |||
1356 1357 1358 1359 1360 1361 1362 1363 1364 1365 1366 1367 1368 1369 | <div class="paragraph"><p>Start the dashboard and browse your run in the "Runs" tab.</p></div> <div class="listingblock"> <div class="title">Starting dashboard</div> <div class="content monospaced"> <pre>dashboard -rows 24</pre> </div></div> </div> </div> </div> <div class="sect1"> <h2 id="_writing_tests">Writing Tests</h2> <div class="sectionbody"> <div class="sect2"> <h3 id="_creating_a_new_test">Creating a new Test</h3> | > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > | 1079 1080 1081 1082 1083 1084 1085 1086 1087 1088 1089 1090 1091 1092 1093 1094 1095 1096 1097 1098 1099 1100 1101 1102 1103 1104 1105 1106 1107 1108 1109 1110 1111 1112 1113 1114 1115 1116 1117 1118 1119 1120 1121 1122 1123 1124 1125 1126 1127 1128 1129 1130 1131 1132 1133 1134 1135 1136 1137 1138 1139 1140 1141 1142 1143 1144 1145 1146 1147 1148 1149 1150 1151 1152 1153 1154 1155 1156 1157 1158 1159 1160 1161 1162 1163 1164 1165 1166 1167 1168 1169 1170 1171 1172 1173 1174 1175 1176 1177 1178 1179 1180 1181 1182 1183 1184 1185 1186 1187 1188 1189 1190 1191 1192 1193 1194 1195 1196 1197 1198 1199 1200 1201 1202 1203 1204 1205 1206 1207 1208 1209 1210 1211 1212 1213 1214 1215 1216 1217 1218 1219 1220 1221 1222 1223 1224 1225 1226 1227 1228 1229 1230 1231 1232 1233 1234 1235 1236 1237 1238 1239 1240 1241 1242 1243 1244 1245 1246 1247 1248 1249 1250 1251 1252 1253 1254 1255 1256 1257 1258 1259 1260 1261 1262 1263 1264 1265 1266 1267 1268 1269 1270 1271 1272 1273 1274 1275 1276 1277 1278 1279 1280 1281 1282 1283 1284 1285 1286 1287 1288 1289 1290 1291 1292 1293 1294 1295 1296 1297 1298 1299 1300 1301 1302 1303 1304 1305 1306 1307 1308 1309 1310 1311 1312 1313 1314 1315 1316 1317 1318 1319 1320 1321 1322 1323 1324 1325 1326 1327 1328 1329 1330 1331 1332 1333 1334 1335 1336 1337 1338 1339 1340 1341 1342 1343 1344 1345 1346 1347 1348 1349 1350 1351 1352 1353 1354 1355 1356 1357 1358 1359 1360 1361 1362 1363 1364 1365 1366 1367 1368 1369 1370 1371 1372 | <div class="paragraph"><p>Start the dashboard and browse your run in the "Runs" tab.</p></div> <div class="listingblock"> <div class="title">Starting dashboard</div> <div class="content monospaced"> <pre>dashboard -rows 24</pre> </div></div> </div> </div> </div> <div class="sect1"> <h2 id="_study_plan">Study Plan</h2> <div class="sectionbody"> <div class="paragraph"><p>Megatest is an extensive program with a lot to learn. Following are some paths through the material to smooth the learning path.</p></div> <div class="sect2"> <h3 id="_basic_concepts_suggest_you_pick_these_up_on_the_way">Basic Concepts (suggest you pick these up on the way)</h3> <div class="ulist"><ul> <li> <p> Components of automation; run, test, iteration </p> </li> <li> <p> Selectors; target, runname, and testpatt </p> </li> </ul></div> </div> <div class="sect2"> <h3 id="_running_testsuites_or_automation">Running Testsuites or Automation</h3> <div class="ulist"><ul> <li> <p> Using the dashboard gui (recommended) </p> <div class="ulist"><ul> <li> <p> Using the "Runs" panel. </p> </li> <li> <p> Using the "Run Control" panel. </p> </li> <li> <p> Using a test control panel </p> </li> <li> <p> The Right Mouse Button menu </p> </li> <li> <p> Debug features </p> <div class="ulist"><ul> <li> <p> xterm </p> <div class="ulist"><ul> <li> <p> pstree </p> </li> <li> <p> log files; mt_copy.log, mt_launch.log </p> </li> <li> <p> variables; megatest.csh, megatest.sh </p> </li> <li> <p> testconfig dump, *testconfig </p> </li> </ul></div> </li> <li> <p> State/status buttons </p> </li> <li> <p> Run, Clean, KillReq </p> </li> <li> <p> ReRunClean </p> </li> </ul></div> </li> </ul></div> </li> <li> <p> Using the command line </p> <div class="ulist"><ul> <li> <p> Getting help; megatest -h, megatest -manual </p> </li> <li> <p> Starting runs; megatest -run </p> <div class="ulist"><ul> <li> <p> Selection controls; -target, -runname and -testpatt </p> </li> </ul></div> </li> </ul></div> </li> </ul></div> </div> <div class="sect2"> <h3 id="_writing_tests_and_flows">Writing Tests and Flows</h3> <div class="ulist"><ul> <li> <p> environment variables (table 5) </p> </li> <li> <p> tests/<em>testname</em>/testconfig <a href="megatest_manual.html#_the_testconfig_file">testconfig details</a> </p> <div class="ulist"><ul> <li> <p> ezsteps and logpro section </p> </li> <li> <p> iteration (one test applied to many inputs), items, itemstable <a href="megatest_manual.html#_iteration">test iteration</a> </p> </li> <li> <p> dependencies, waiton, itemmatch, itemwait <a href="megatest_manual.html#_requirements_section">test requirements</a> </p> </li> <li> <p> miscellaneous; mode toplevel, runtimelim, skip on file or on running, waiver propagation </p> </li> </ul></div> </li> <li> <p> megatest areas </p> <div class="ulist"><ul> <li> <p> megatest.config </p> </li> <li> <p> runconfigs.config </p> </li> <li> <p> config language features; include, shell, system, scheme, rp|realpath, getenv, get, rget, scriptinc <a href="megatest.html#_config_file_helpers">config file helpers</a> </p> </li> </ul></div> </li> </ul></div> </div> <div class="sect2"> <h3 id="_advanced_topics">Advanced Topics</h3> <div class="ulist"><ul> <li> <p> Removing and keeping runs selectively <a href="megatest_manual.html#_managing_old_runs">managing runs</a> </p> </li> <li> <p> Subruns <a href="megatest_manual.html#_nested_runs">nested runs</a> </p> </li> <li> <p> Config file features <a href="megatest_manual.html#_config_file_helpers">config file features</a> </p> </li> <li> <p> HTML output with -generate-html </p> </li> <li> <p> Triggers, post run, state/status </p> </li> <li> <p> MTLOWESTLOAD </p> </li> <li> <p> flexilauncher </p> </li> <li> <p> env delta and testconfig </p> </li> <li> <p> capturing test data, extracting values from logpro and using them for pass/fail </p> </li> <li> <p> mtutil, postgres connection, packets for cross-site/cross-user control (e.g. mcrun). </p> </li> </ul></div> </div> <div class="sect2"> <h3 id="_maintenance_and_troubleshooting">Maintenance and Troubleshooting</h3> <div class="ulist"><ul> <li> <p> cleanup-db, database structure of Megatest 1.6x </p> </li> <li> <p> archiving </p> </li> <li> <p> homehost management </p> </li> <li> <p> show-runconfig </p> </li> <li> <p> show-config </p> </li> <li> <p> show with -debug 0,9 </p> </li> <li> <p> load management </p> </li> </ul></div> </div> </div> </div> <div class="sect1"> <h2 id="_writing_tests">Writing Tests</h2> <div class="sectionbody"> <div class="sect2"> <h3 id="_creating_a_new_test">Creating a new Test</h3> |
︙ | ︙ | |||
1758 1759 1760 1761 1762 1763 1764 | VAR1 VAL2</pre> </div></div> <div class="paragraph"><p>Can use either wildcard of "%" or a regular expression:</p></div> <div class="listingblock"> <div class="content monospaced"> <pre>[/abc.*def/]</pre> </div></div> | > | | | | | | | | < | 1761 1762 1763 1764 1765 1766 1767 1768 1769 1770 1771 1772 1773 1774 1775 1776 1777 1778 1779 1780 1781 1782 1783 1784 1785 1786 1787 1788 1789 1790 1791 1792 1793 1794 1795 1796 1797 1798 1799 1800 1801 1802 1803 1804 1805 1806 1807 1808 1809 1810 1811 1812 1813 1814 1815 1816 1817 1818 | VAR1 VAL2</pre> </div></div> <div class="paragraph"><p>Can use either wildcard of "%" or a regular expression:</p></div> <div class="listingblock"> <div class="content monospaced"> <pre>[/abc.*def/]</pre> </div></div> </div> <div class="sect2"> <h3 id="_disk_space_checks">Disk Space Checks</h3> <div class="paragraph"><p>Some parameters you can put in the [setup] section of megatest.config:</p></div> <div class="listingblock"> <div class="content monospaced"> <pre># minimum space required in a run disk minspace 10000000 # minimum space required in dbdir: dbdir-space-required 100000 # script that takes path as parameter and returns number of bytes available: free-space-script check-space.sh</pre> </div></div> </div> <div class="sect2"> <h3 id="_trim_trailing_spaces">Trim trailing spaces</h3> <div class="listingblock"> <div class="content monospaced"> <pre>[configf:settings trim-trailing-spaces yes]</pre> </div></div> </div> <div class="sect2"> <h3 id="_job_submission_control">Job Submission Control</h3> <div class="sect3"> <h4 id="_submit_jobs_to_host_types_based_on_test_name_2">Submit jobs to Host Types based on Test Name</h4> <div class="listingblock"> <div class="title">In megatest.config</div> <div class="content monospaced"> <pre>[host-types] general nbfake remote bsub [launchers] runfirst/sum% remote % general [jobtools] launcher bsub # if defined and not "no" flexi-launcher will bypass launcher unless # there is no host-type match. flexi-launcher yes</pre> </div></div> <div class="sect4"> <h5 id="_host_types">host-types</h5> <div class="paragraph"><p>List of host types and the commandline to run a job on that host type.</p></div> <div class="listingblock"> <div class="title">host-type ⇒ launch command</div> <div class="content monospaced"> <pre>general nbfake</pre> |
︙ | ︙ | |||
2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 | <div class="paragraph"><p>The runscript method is a brute force way to run scripts where the user is responsible for setting STATE and STATUS</p></div> <div class="listingblock"> <div class="content monospaced"> <pre>runscript main.csh</pre> </div></div> </div> </div> <div class="sect2"> <h3 id="_requirements_section">Requirements section</h3> <div class="listingblock"> <div class="title">Header</div> <div class="content monospaced"> <pre>[requirements]</pre> </div></div> | > > > > > > > > > > > > > > > > > > > > > | | | | | 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030 2031 2032 2033 2034 2035 2036 2037 2038 2039 2040 2041 2042 2043 2044 2045 2046 2047 2048 2049 2050 2051 2052 2053 2054 2055 2056 2057 2058 2059 2060 2061 2062 2063 | <div class="paragraph"><p>The runscript method is a brute force way to run scripts where the user is responsible for setting STATE and STATUS</p></div> <div class="listingblock"> <div class="content monospaced"> <pre>runscript main.csh</pre> </div></div> </div> </div> <div class="sect2"> <h3 id="_iteration">Iteration</h3> <div class="listingblock"> <div class="title">Sections for iteration</div> <div class="content monospaced"> <pre># full combinations [items] A x y B 1 2 # Yields: x/1 x/2 y/1 y/2 # tabled [itemstable] A x y B 1 2 # Yields x/1 y/2</pre> </div></div> </div> <div class="sect2"> <h3 id="_requirements_section">Requirements section</h3> <div class="listingblock"> <div class="title">Header</div> <div class="content monospaced"> <pre>[requirements]</pre> </div></div> </div> <div class="sect2"> <h3 id="_wait_on_other_tests">Wait on Other Tests</h3> <div class="listingblock"> <div class="content monospaced"> <pre># A normal waiton waits for the prior tests to be COMPLETED # and PASS, CHECK or WAIVED waiton test1 test2</pre> </div></div> </div> <div class="sect2"> <h3 id="_mode">Mode</h3> <div class="paragraph"><p>The default (i.e. if mode is not specified) is normal. All pre-dependent tests must be COMPLETED and PASS, CHECK or WAIVED before the test will start</p></div> <div class="listingblock"> <div class="content monospaced"> <pre>[requirements] mode normal</pre> </div></div> |
︙ | ︙ | |||
2048 2049 2050 2051 2052 2053 2054 | was historically called "itemwait" mode. The terms "itemwait" and "itemmatch" are synonyms.</p></div> <div class="listingblock"> <div class="content monospaced"> <pre>[requirements] mode itemmatch</pre> </div></div> | < | 2072 2073 2074 2075 2076 2077 2078 2079 2080 2081 2082 2083 2084 2085 | was historically called "itemwait" mode. The terms "itemwait" and "itemmatch" are synonyms.</p></div> <div class="listingblock"> <div class="content monospaced"> <pre>[requirements] mode itemmatch</pre> </div></div> </div> <div class="sect2"> <h3 id="_overriding_enviroment_variables">Overriding Enviroment Variables</h3> <div class="paragraph"><p>Override variables before starting the test. Can include files (perhaps generated by megatest -envdelta or similar).</p></div> <div class="listingblock"> <div class="content monospaced"> <pre>[pre-launch-env-vars] |
︙ | ︙ | |||
2123 2124 2125 2126 2127 2128 2129 | # The following would map: # a123b321 to b321fooa123 then to 321fooa123p # [requirements] itemmap (a\d+)(b\d+) \2foo\1 b(.*) \1p</pre> </div></div> | > | | | | | 2146 2147 2148 2149 2150 2151 2152 2153 2154 2155 2156 2157 2158 2159 2160 2161 2162 2163 2164 2165 2166 2167 2168 2169 2170 2171 2172 2173 2174 | # The following would map: # a123b321 to b321fooa123 then to 321fooa123p # [requirements] itemmap (a\d+)(b\d+) \2foo\1 b(.*) \1p</pre> </div></div> </div> <div class="sect2"> <h3 id="_complex_mapping">Complex mapping</h3> <div class="paragraph"><p>Complex mappings can be handled with a separate [itemmap] section (instead if an itemmap line in the [requirements] section)</p></div> <div class="paragraph"><p>Each line in an itemmap section starts with a waiton test name followed by an itemmap expression</p></div> <div class="listingblock"> <div class="title">eg: The following causes waiton test A item <span class="monospaced">bar/1234</span> to run when our test’s <span class="monospaced">foo/1234</span> item is requested as well as causing waiton test B’s <span class="monospaced">blah</span> item to run when our test’s <span class="monospaced">stuff/blah</span> item is requested</div> <div class="content monospaced"> <pre>[itemmap] A foo/ bar/ B stuff/</pre> </div></div> </div> <div class="sect2"> <h3 id="_complex_mapping_example">Complex mapping example</h3> <div class="imageblock"> <div class="content"> <img src="complex-itemmap.png" alt="complex-itemmap.png"> </div> </div> <div class="paragraph"><p>We accomplish this by configuring the testconfigs of our tests C D and E as follows:</p></div> <div class="listingblock"> |
︙ | ︙ | |||
2210 2211 2212 2213 2214 2215 2216 | <li> <p> Test A has no waitons. All waitons of all tests in full list have been processed. Full list is finalized. </p> </li> </ol></div> </div> | | | | | | | | | | | | | | | | | | | | 2234 2235 2236 2237 2238 2239 2240 2241 2242 2243 2244 2245 2246 2247 2248 2249 2250 2251 2252 2253 2254 2255 2256 2257 2258 2259 2260 2261 2262 2263 2264 2265 2266 2267 2268 2269 2270 2271 2272 2273 2274 2275 2276 2277 2278 2279 2280 2281 2282 2283 2284 2285 2286 2287 2288 2289 2290 2291 2292 2293 2294 2295 2296 2297 2298 2299 2300 2301 2302 2303 2304 2305 2306 2307 2308 2309 2310 2311 2312 2313 2314 2315 2316 2317 2318 2319 2320 | <li> <p> Test A has no waitons. All waitons of all tests in full list have been processed. Full list is finalized. </p> </li> </ol></div> </div> <div class="sect2"> <h3 id="_itemstable">itemstable</h3> <div class="paragraph"><p>An alternative to defining items is the itemstable section. This lets you define the itempath in a table format rather than specifying components and relying on getting all permutations of those components.</p></div> </div> <div class="sect2"> <h3 id="_dynamic_flow_dependency_tree">Dynamic Flow Dependency Tree</h3> <div class="listingblock"> <div class="title">Autogeneration waiton list for dynamic flow dependency trees</div> <div class="content monospaced"> <pre>[requirements] # With a toplevel test you may wish to generate your list # of tests to run dynamically # waiton #{shell get-valid-tests-to-run.sh}</pre> </div></div> </div> <div class="sect2"> <h3 id="_run_time_limit_2">Run time limit</h3> <div class="listingblock"> <div class="content monospaced"> <pre>[requirements] runtimelim 1h 2m 3s # this will automatically kill the test if it runs for more than 1h 2m and 3s</pre> </div></div> </div> <div class="sect2"> <h3 id="_skip">Skip</h3> <div class="paragraph"><p>A test with a skip section will conditional skip running.</p></div> <div class="listingblock"> <div class="title">Skip section example</div> <div class="content monospaced"> <pre>[skip] prevrunning x # rundelay 30m 15s</pre> </div></div> </div> <div class="sect2"> <h3 id="_skip_on_still_running_tests">Skip on Still-running Tests</h3> <div class="listingblock"> <div class="content monospaced"> <pre># NB// If the prevrunning line exists with *any* value the test will # automatically SKIP if the same-named test is currently RUNNING. The # "x" can be any string. Comment out the prevrunning line to turn off # skip. [skip] prevrunning x</pre> </div></div> </div> <div class="sect2"> <h3 id="_skip_if_a_file_exists">Skip if a File Exists</h3> <div class="listingblock"> <div class="content monospaced"> <pre>[skip] fileexists /path/to/a/file # skip if /path/to/a/file exists</pre> </div></div> </div> <div class="sect2"> <h3 id="_skip_if_test_ran_more_recently_than_specified_time">Skip if test ran more recently than specified time</h3> <div class="listingblock"> <div class="title">Skip if this test has been run in the past fifteen minutes and 15 seconds.</div> <div class="content monospaced"> <pre>[skip] rundelay 15m 15s</pre> </div></div> </div> <div class="sect2"> <h3 id="_disks">Disks</h3> <div class="paragraph"><p>A disks section in testconfig will override the disks section in megatest.config. This can be used to allocate disks on a per-test or per item basis.</p></div> </div> <div class="sect2"> <h3 id="_controlled_waiver_propagation">Controlled waiver propagation</h3> <div class="paragraph"><p>If test is FAIL and previous test in run with same MT_TARGET is WAIVED then apply the following rules from the testconfig: If a waiver check is specified in the testconfig apply the check and if it passes then set this FAIL to WAIVED</p></div> <div class="paragraph"><p>Waiver check has two parts, 1) a list of waiver, rulename, filepatterns and 2) the rulename script spec (note that "diff" and "logpro" are predefined)</p></div> <div class="listingblock"> <div class="content monospaced"> <pre>###### EXAMPLE FROM testconfig ######### # matching file(s) will be diff'd with previous run and logpro applied |
︙ | ︙ | |||
2305 2306 2307 2308 2309 2310 2311 | # This builtin rule is the default if there is no <waivername>.logpro file # diff diff %file1% %file2% # This builtin rule is applied if a <waivername>.logpro file exists # logpro diff %file1% %file2% | logpro %waivername%.logpro %waivername%.html</pre> </div></div> </div> | < > > > | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 2329 2330 2331 2332 2333 2334 2335 2336 2337 2338 2339 2340 2341 2342 2343 2344 2345 2346 2347 2348 2349 2350 2351 2352 2353 2354 2355 2356 2357 2358 2359 2360 2361 2362 2363 2364 2365 2366 2367 2368 2369 2370 2371 2372 2373 2374 2375 2376 2377 2378 2379 2380 2381 2382 2383 2384 2385 2386 2387 2388 2389 2390 2391 2392 2393 2394 2395 2396 2397 2398 2399 2400 2401 2402 2403 2404 2405 2406 2407 2408 2409 2410 2411 2412 2413 2414 2415 2416 2417 2418 2419 2420 2421 2422 2423 2424 2425 2426 2427 2428 2429 2430 2431 2432 2433 2434 2435 2436 2437 2438 2439 2440 2441 2442 2443 2444 2445 2446 2447 2448 2449 2450 2451 2452 2453 2454 2455 2456 2457 2458 2459 2460 2461 | # This builtin rule is the default if there is no <waivername>.logpro file # diff diff %file1% %file2% # This builtin rule is applied if a <waivername>.logpro file exists # logpro diff %file1% %file2% | logpro %waivername%.logpro %waivername%.html</pre> </div></div> </div> <div class="sect2"> <h3 id="_ezsteps">Ezsteps</h3> <div class="listingblock"> <div class="title">Example ezsteps with logpro rules</div> <div class="content monospaced"> <pre>[ezsteps] lookittmp ls /tmp [logpro] lookittmp ;; Note: config file format supports multi-line entries where leading whitespace is removed from each line ;; a blank line indicates the end of the block of text (expect:required in "LogFileBody" > 0 "A file name that should never exist!" #/This is a awfully stupid file name that should never be found in the temp dir/)</pre> </div></div> <div class="paragraph"><p>To transfer the environment to the next step you can do the following:</p></div> <div class="listingblock"> <div class="title">Propagate environment to next step</div> <div class="content monospaced"> <pre>$MT_MEGATEST -env2file .ezsteps/${stepname}</pre> </div></div> </div> <div class="sect2"> <h3 id="_triggers">Triggers</h3> <div class="paragraph"><p>In your testconfig or megatest.config triggers can be specified</p></div> <div class="listingblock"> <div class="title">Triggers spec</div> <div class="content monospaced"> <pre>[triggers] # Call script running.sh when test goes to state=RUNNING, status=PASS RUNNING/PASS running.sh # Call script running.sh any time state goes to RUNNING RUNNING/ running.sh # Call script onpass.sh any time status goes to PASS PASS/ onpass.sh</pre> </div></div> <div class="paragraph"><p>Scripts called will have; test-id test-rundir trigger test-name item-path state status event-time, added to the commandline.</p></div> <div class="paragraph"><p>HINT</p></div> <div class="paragraph"><p>To start an xterm (useful for debugging), use a command line like the following:</p></div> <div class="listingblock"> <div class="title">Start an xterm using a trigger for test completed.</div> <div class="content monospaced"> <pre>[triggers] COMPLETED/ xterm -e bash -s --</pre> </div></div> <div class="admonitionblock"> <table><tr> <td class="icon"> <img src="/nfs/pdx/disks/ice.disk.002/icfadm/pkgs/asciidoc/8.6.7/images/icons/note.png" alt="Note"> </td> <td class="content">There is a trailing space after the double-dash</td> </tr></table> </div> <div class="paragraph"><p>There are a number of environment variables available to the trigger script but since triggers can be called in various contexts not all variables are available at all times. The trigger script should check for the variable and fail gracefully if it doesn’t exist.</p></div> <table class="tableblock frame-topbot grid-all" style=" width:90%; "> <caption class="title">Table 5. Environment variables visible to the trigger script</caption> <col style="width:50%;"> <col style="width:50%;"> <thead> <tr> <th class="tableblock halign-left valign-top" > Variable </th> <th class="tableblock halign-left valign-top" > Purpose</th> </tr> </thead> <tbody> <tr> <td class="tableblock halign-left valign-top" ><p class="tableblock">MT_TEST_RUN_DIR</p></td> <td class="tableblock halign-left valign-top" ><p class="tableblock">The directory where Megatest ran this test</p></td> </tr> <tr> <td class="tableblock halign-left valign-top" ><p class="tableblock">MT_CMDINFO</p></td> <td class="tableblock halign-left valign-top" ><p class="tableblock">Encoded command data for the test</p></td> </tr> <tr> <td class="tableblock halign-left valign-top" ><p class="tableblock">MT_DEBUG_MODE</p></td> <td class="tableblock halign-left valign-top" ><p class="tableblock">Used to pass the debug mode to nested calls to Megatest</p></td> </tr> <tr> <td class="tableblock halign-left valign-top" ><p class="tableblock">MT_RUN_AREA_HOME</p></td> <td class="tableblock halign-left valign-top" ><p class="tableblock">Megatest home area</p></td> </tr> <tr> <td class="tableblock halign-left valign-top" ><p class="tableblock">MT_TESTSUITENAME</p></td> <td class="tableblock halign-left valign-top" ><p class="tableblock">The name of this testsuite or area</p></td> </tr> <tr> <td class="tableblock halign-left valign-top" ><p class="tableblock">MT_TEST_NAME</p></td> <td class="tableblock halign-left valign-top" ><p class="tableblock">The name of this test</p></td> </tr> <tr> <td class="tableblock halign-left valign-top" ><p class="tableblock">MT_ITEM_INFO</p></td> <td class="tableblock halign-left valign-top" ><p class="tableblock">The variable and values for the test item</p></td> </tr> <tr> <td class="tableblock halign-left valign-top" ><p class="tableblock">MT_MEGATEST</p></td> <td class="tableblock halign-left valign-top" ><p class="tableblock">Which Megatest binary is being used by this area</p></td> </tr> <tr> <td class="tableblock halign-left valign-top" ><p class="tableblock">MT_TARGET</p></td> <td class="tableblock halign-left valign-top" ><p class="tableblock">The target variable values, separated by <em>/</em></p></td> </tr> <tr> <td class="tableblock halign-left valign-top" ><p class="tableblock">MT_LINKTREE</p></td> <td class="tableblock halign-left valign-top" ><p class="tableblock">The base of the link tree where all run tests can be found</p></td> </tr> <tr> <td class="tableblock halign-left valign-top" ><p class="tableblock">MT_ITEMPATH</p></td> <td class="tableblock halign-left valign-top" ><p class="tableblock">The values of the item path variables, separated by <em>/</em></p></td> </tr> <tr> <td class="tableblock halign-left valign-top" ><p class="tableblock">MT_RUNNAME</p></td> <td class="tableblock halign-left valign-top" ><p class="tableblock">The name of the run</p></td> </tr> </tbody> </table> </div> <div class="sect2"> <h3 id="_override_the_toplevel_html_file">Override the Toplevel HTML File</h3> <div class="paragraph"><p>Megatest generates a simple html file summary for top level tests of |
︙ | ︙ | |||
2463 2464 2465 2466 2467 2468 2469 | # Within the archive the data is structured like this: # <target>/<runname>/<test>/ archive0 /mfs/myarchive-data/adisk1</pre> </div></div> </div> </div> <div class="sect1"> | | | > > < | | 2489 2490 2491 2492 2493 2494 2495 2496 2497 2498 2499 2500 2501 2502 2503 2504 2505 2506 2507 2508 2509 2510 2511 2512 2513 2514 2515 2516 2517 2518 2519 2520 2521 2522 2523 2524 2525 2526 2527 2528 2529 2530 2531 2532 2533 2534 2535 2536 2537 2538 2539 | # Within the archive the data is structured like this: # <target>/<runname>/<test>/ archive0 /mfs/myarchive-data/adisk1</pre> </div></div> </div> </div> <div class="sect1"> <h2 id="_environment_variables">Environment Variables</h2> <div class="sectionbody"> <div class="paragraph"><p>It is often necessary to capture and or manipulate environment variables. Megatest has some facilities built in to help.</p></div> <div class="sect2"> <h3 id="_capture_variables">Capture variables</h3> <div class="listingblock"> <div class="title">Commands</div> <div class="content monospaced"> <pre># capture the current enviroment into a db called envdat.db under # the context "before" megatest -envcap before # capture the current environment into a db called startup.db with # context "after" megatest -envcap after startup.db # write the diff from before to after megatest -envdelta before-after -dumpmode bash</pre> </div></div> <div class="paragraph"><p>Dump modes include bash, csh and config. You can include config data into megatest.config, runconfigs.config and testconfig files. This is useful for capturing a complex environment in a special-purpose test and then utilizing that environment in downstream tests.</p></div> <div class="listingblock"> <div class="title">Example of generating and using config data</div> <div class="content monospaced"> <pre>megatest -envcap original # do some stuff here megatest -envcap munged megatest -envdelta original-munged -dumpmode ini -o modified.config</pre> </div></div> <div class="paragraph"><p>Then in runconfigs.config</p></div> <div class="listingblock"> <div class="title">Example of using modified.config in a testconfig</div> <div class="content monospaced"> <pre>[pre-launch-env-vars] [include modified.config]</pre> </div></div> </div> </div> </div> <div class="sect1"> <h2 id="_managing_old_runs">Managing Old Runs</h2> |
︙ | ︙ | |||
2641 2642 2643 2644 2645 2646 2647 | <div class="content"> <img src="server.png" alt="server.png"> </div> </div> </div> </div> <div class="sect1"> | > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > | | | 2668 2669 2670 2671 2672 2673 2674 2675 2676 2677 2678 2679 2680 2681 2682 2683 2684 2685 2686 2687 2688 2689 2690 2691 2692 2693 2694 2695 2696 2697 2698 2699 2700 2701 2702 2703 2704 2705 2706 2707 2708 2709 2710 2711 2712 2713 2714 2715 2716 2717 2718 2719 2720 2721 2722 2723 2724 2725 2726 2727 2728 2729 2730 2731 2732 2733 2734 2735 2736 2737 2738 2739 2740 2741 2742 2743 2744 2745 2746 2747 2748 2749 2750 2751 2752 2753 2754 2755 2756 2757 2758 2759 2760 2761 2762 2763 2764 2765 2766 2767 2768 2769 2770 2771 2772 2773 2774 2775 2776 2777 2778 2779 2780 2781 2782 2783 2784 2785 2786 2787 2788 2789 2790 2791 2792 2793 2794 2795 2796 2797 2798 2799 2800 2801 2802 2803 2804 2805 2806 2807 2808 2809 2810 2811 2812 2813 2814 2815 2816 2817 2818 2819 2820 2821 2822 2823 2824 2825 2826 2827 2828 2829 2830 2831 2832 2833 2834 2835 2836 2837 2838 2839 2840 2841 2842 2843 2844 2845 2846 2847 2848 2849 2850 2851 2852 2853 2854 2855 2856 2857 2858 2859 2860 2861 2862 2863 2864 2865 2866 2867 2868 2869 2870 2871 2872 2873 2874 2875 2876 2877 2878 2879 2880 2881 2882 2883 2884 2885 2886 2887 2888 2889 2890 2891 2892 2893 2894 2895 2896 2897 2898 2899 2900 2901 2902 2903 2904 2905 2906 2907 2908 2909 2910 2911 2912 2913 2914 2915 2916 2917 2918 2919 2920 2921 2922 2923 2924 2925 2926 2927 2928 2929 2930 2931 2932 2933 2934 2935 2936 2937 2938 2939 2940 2941 2942 2943 2944 2945 2946 2947 2948 2949 2950 2951 2952 2953 2954 2955 2956 2957 2958 2959 2960 2961 2962 2963 2964 2965 2966 2967 2968 2969 2970 2971 2972 2973 2974 2975 2976 2977 2978 2979 2980 2981 2982 2983 2984 2985 2986 2987 2988 2989 2990 2991 2992 2993 2994 2995 2996 2997 2998 2999 3000 3001 3002 3003 3004 3005 3006 3007 3008 3009 3010 3011 3012 3013 3014 3015 3016 3017 3018 3019 3020 3021 3022 3023 3024 3025 3026 3027 3028 3029 3030 3031 3032 3033 3034 3035 3036 3037 3038 3039 3040 3041 3042 | <div class="content"> <img src="server.png" alt="server.png"> </div> </div> </div> </div> <div class="sect1"> <h2 id="_road_map">Road Map</h2> <div class="sectionbody"> <div class="paragraph"><p>Note 1: This road-map continues to evolve and subject to change without notice.</p></div> <div class="sect2"> <h3 id="_here_is_a_smattering_of_ideas_for_megatest_2_0">Here is a smattering of ideas for Megatest 2.0</h3> <div class="olist arabic"><ol class="arabic"> <li> <p> Add variable $MT_RUNPATH = $MT_LINKTREE/$MT_TARGET/$MT_RUNNAME </p> </li> </ol></div> <div class="listingblock"> <div class="content monospaced"> <pre>[db] api legacy|new</pre> </div></div> <div class="olist arabic"><ol class="arabic"> <li> <p> One big lesson from the 1.63-1.65 generation was that the main.db, 1.db … model was really good at scaling. I’d like to combine that model with the current also-very-good model. Obviously this is a disruptive change. I think making the old model the default and the new model an option for at least one generation would be fair. </p> </li> <li> <p> Rigorous megatest.config and runconfig.config caching. </p> <div class="olist loweralpha"><ol class="loweralpha"> <li> <p> Cache the configs in $MT_RUNPATH </p> </li> <li> <p> Following invocations of –run, -rerun* will calculate the new config but only overwrite the cached file IF changed </p> </li> </ol></div> </li> <li> <p> If the cached file changes ALL existing tests go from COMPLETED → STALE, I’m not sure what to do about RUNNING tests </p> </li> <li> <p> !VARS in runconfigs are not exported to the environment. They are accessed via rget as if the ! was not there. </p> </li> <li> <p> Per test copy commands (crude example below is not correct). </p> </li> </ol></div> <div class="listingblock"> <div class="content monospaced"> <pre>[testcopy] %/iind% unison SRC DEST % cp –r SRC DEST</pre> </div></div> <div class="olist arabic"><ol class="arabic"> <li> <p> Test management via pkts (optional?) </p> <div class="olist loweralpha"><ol class="loweralpha"> <li> <p> Control pkt types: run, kill, rerunclean, clean, archive, status? </p> </li> <li> <p> Status pkt types: ack, step, status_change </p> </li> </ol></div> </li> <li> <p> Add nanomsg as a transport option . </p> </li> </ol></div> </div> <div class="sect2"> <h3 id="_rfc_m01_add_ability_to_move_runs_to_other_areas">RFC M01: Add ability to move runs to other Areas</h3> <div class="paragraph"><p><strong>Purpose</strong>: allow shrinking megatest.db data by moving runs to an alternate Megatest area with same keys.</p></div> <div class="paragraph"><p><strong>Method</strong>: extend db sync to take a different megatest area as a destination.</p></div> <div class="paragraph"><p><strong>Design</strong>:</p></div> <div class="olist arabic"><ol class="arabic"> <li> <p> add param -destination [area|path]. when specified runs are copied to new area and removed from local db. </p> </li> <li> <p> the data move would involve these steps </p> <div class="olist loweralpha"><ol class="loweralpha"> <li> <p> copy the run data to destination area megatest.db </p> </li> <li> <p> mark the run records as deleted, do not remove the run data on disk </p> </li> </ol></div> </li> <li> <p> accessing the data would be by running dashboard in the satellite area </p> </li> <li> <p> future versions of Megatest dashboard should support displaying areas in a merged way. </p> </li> <li> <p> some new controls would be supported in the config </p> <div class="olist loweralpha"><ol class="loweralpha"> <li> <p> [setup] ⇒ allow-runs [no|yes] ⇐= used to disallow runs </p> </li> <li> <p> [setup] ⇒ auto-migrate=[areaname|path] ⇐= used to automatically migrate data to a satellite area. </p> </li> </ol></div> </li> </ol></div> <div class="paragraph"><p><strong>Branch</strong>: This work is taking place on branch v1.65-reduce-records</p></div> </div> <div class="sect2"> <h3 id="_rfc_m02_move_data_into_completed_runs_db">RFC M02: Move data into completed-runs.db</h3> <div class="paragraph"><p><strong>Purpose</strong>: shrink megatest.db data to enable lower load and higher performance.</p></div> <div class="paragraph"><p><strong>Method</strong>: add a completed-runs.db and automatically move runs data from megatest.db to that db</p></div> <div class="paragraph"><p><strong>Design</strong>:</p></div> <div class="olist arabic"><ol class="arabic"> <li> <p> completed-runs.db is a full megatest database with complete schema </p> </li> <li> <p> the data move would involve these steps </p> <div class="olist loweralpha"><ol class="loweralpha"> <li> <p> copy the run data to completed-runs.db </p> </li> <li> <p> remove the run data, first from /tmp/…/megatest.db and /tmp/…/megatest_ref.db, followed by megatest.db </p> </li> </ol></div> </li> <li> <p> accessing the data would be unchanged for most operations. </p> </li> <li> <p> a mode -full-db will be added which when specified would attach the completed-runs.db to megatest.db before doing the query </p> </li> <li> <p> mechanisms for moving runs to/from the megatest.db would be added </p> <div class="olist loweralpha"><ol class="loweralpha"> <li> <p> -reduce-records ⇒ move runs to completed-runs.db </p> </li> <li> <p> -restore-records ⇒ move runs from completed-runs.db to megatest.db </p> </li> </ol></div> </li> </ol></div> <div class="paragraph"><p><strong>Branch</strong>: This work is taking place on branch v1.65-reduce-records</p></div> </div> <div class="sect2"> <h3 id="_rfc_m03_automatic_homehost_migrations">RFC M03: Automatic homehost migrations</h3> <div class="paragraph"><p><strong>Purpose</strong>: Automatically migrate homehost.</p></div> <div class="paragraph"><p><strong>Method</strong>: Check that there are no tests running, launched or remotehoststart in past ½ hour then if not on homehost migrate the db to current host</p></div> <div class="paragraph"><p><strong>Design</strong>:</p></div> <div class="olist arabic"><ol class="arabic"> <li> <p> Check that the system is quiescent, i.e. that there are no runs in flight or recently run </p> </li> <li> <p> Create a lock </p> </li> <li> <p> Migrate the /tmp cache db to the current host </p> </li> <li> <p> Update the .homehost file </p> </li> <li> <p> Remove the lock </p> </li> </ol></div> <div class="paragraph"><p><strong>Branch</strong>: This work not yet started</p></div> </div> <div class="sect2"> <h3 id="_architecture_refactor">Architecture Refactor</h3> <div class="sect3"> <h4 id="_goals">Goals</h4> <div class="olist arabic"><ol class="arabic"> <li> <p> Reduce load on the file system. Sqlite3 files on network filesystem can be a burden. <span class="green">[DONE]</span> </p> </li> <li> <p> Reduce number of servers and frequency of start/stop. This is mostly an issue of clutter but also a reduction in "moving parts". <span class="green">[DONE]</span> </p> </li> <li> <p> Coalesce activities to a single home host where possible. Give the user feedback that they have started the dashboard on a host other than the home host. <span class="green">[DONE]</span> </p> </li> <li> <p> Reduce number of processes involved in managing running tests. </p> </li> </ol></div> </div> <div class="sect3"> <h4 id="_changes_needed">Changes Needed</h4> <div class="olist arabic"><ol class="arabic"> <li> <p> ACID compliant db will be on /tmp and synced to megatest.db with a five second max delay. <span class="green">[DONE]</span> </p> </li> <li> <p> Read/writes to db for processes on homehost will go direct to /tmp megatest.db file. <span class="green">[DONE]</span> </p> </li> <li> <p> Read/wites fron non-homehost processes will go through one server. Bulk reads (e.g. for dashboard or list-runs) will be cached on the current host in /tmp and synced from the home megatest.db in the testsuite area. <span class="green">[DONE]</span> </p> </li> <li> <p> Db syncs rely on the target db file timestame minus some margin. <span class="green">[DONE]</span> </p> </li> <li> <p> Since bulk reads do not use the server we can switch to simple RPC for the network transport. <span class="green">[DONE]</span> </p> </li> <li> <p> Test running manager process extended to manage multiple running tests. </p> </li> </ol></div> </div> </div> <div class="sect2"> <h3 id="_current_items">Current Items</h3> <div class="sect3"> <h4 id="_ww05_migrate_to_inmem_db">ww05 - migrate to inmem-db</h4> <div class="olist arabic"><ol class="arabic"> <li> <p> Switch to inmem db with fast sync to on disk db’s <span class="green">[DONE]</span> </p> </li> <li> <p> Server polls tasks table for next action </p> <div class="olist loweralpha"><ol class="loweralpha"> <li> <p> Task table used for tracking runner process <span class="red">[Replaced by mtutil]</span> </p> </li> <li> <p> Task table used for jobs to run <span class="red">[Replaced by mtutil]</span> </p> </li> <li> <p> Task table used for queueing runner actions (remove runs, cleanRunExecute, etc) <span class="red">[Replaced by mtutil</span>] </p> </li> </ol></div> </li> </ol></div> <div class="paragraph"><p>shifting, note that the preceding blank line is needed.</p></div> </div> </div> </div> </div> <div class="sect1"> <h2 id="_index">Index</h2> <div class="sectionbody"> </div> </div> </div> <div id="footnotes"><hr></div> <div id="footer"> <div id="footer-text"> Version 1.0<br> Last updated 2018-11-29 09:32:52 PST </div> </div> </body> </html> |
Modified docs/manual/megatest_manual.txt from [c9cb390537] to [2589d78a96].
︙ | ︙ | |||
33 34 35 36 37 38 39 | ---------------------------- Why Megatest? ------------- The Megatest project was started for two reasons, the first was an immediate and pressing need for a generalized tool to manage a suite | | | | | | > | > | | > | | | | | > | > | | | > > > > > | > > > > > | | | > > | < < < | > > | | > | > > > > > > | 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 | ---------------------------- Why Megatest? ------------- The Megatest project was started for two reasons, the first was an immediate and pressing need for a generalized tool to manage a suite of regression tests and the second was the fact that I had written or maintained several such tools at different companies over the years. I thought a single open source tool, flexible enough to meet the needs of any team doing continuous integrating and or running a complex suite of tests for release qualification would solve some problems for me and for others. -- Matt Welland, original author of the Megatest tool suite. Megatest Design Philosophy -------------------------- Megatest is a distributed system intended to provide the minimum needed resources to make writing a suite of tests and tasks for implementing continuous build for software, design engineering or process control (via owlfs for example) without being specialized for any specific problem space. Megatest in of itself does not know what constitutes a PASS or FAIL of a test or task. In most cases megatest is best used in conjunction with logpro or a similar tool to parse, analyze and decide on the test outcome. * Self-checking - make it as easy as possible to write self-checking tests (as opposed to using deltas, i.e. tests that compare with a previous measurement to deterine PASS/FAIL). * Traceable - environment variables, host OS and other possibly influential variables are captured and kept recorded. * Immutable - once a test is run it cannot be easily overwritten or modified accidentally. * Repeatable - test results can be recreated in the future using all the original variables. * Relocatable - the testsuite or automation area can be checked out and the tests run anywhere in the disk hierarchy. * Encapsulated - the tests run in self-contained directories and all inputs and outputs to the process can be found in the run areas. * Deployable - a testsuite is self-contained and can be bundled with a software project and easily used by others with little to no setup burden. Megatest Architecture --------------------- Data separation ~~~~~~~~~~~~~~~ All data to specify the tests and configure the system is stored in plain text config files. All system state is stored in an sqlite3 database. Distributed Compute ~~~~~~~~~~~~~~~~~~~ Tests are launched using the launching system available for the distributed compute platform in use. A template script is provided which can launch jobs on local and remote Linux hosts. Currently megatest uses the network filesystem to call home to your master sqlite3 database. Megatest has been used with the Intel Netbatch and lsf (also known as openlava) batch systems and it should be straightforward to use it with other similar systems. include::overview.txt[] include::installation.txt[] include::getting_started.txt[] include::study_plan.txt[] // :leveloffset: 0 include::writing_tests.txt[] include::howto.txt[] include::reference.txt[] Megatest Internals ------------------ ["graphviz", "server.png"] ---------------------------------------------------------------------- include::server.dot[] ---------------------------------------------------------------------- include::plan.txt[] // to allow the getting_started.txt to be a stand-alone document use level shifting, note that the preceding blank line is needed. // :leveloffset: 2 // [appendix] // Example Appendix // ================ // One or more optional appendixes go here at section level zero. // |
︙ | ︙ | |||
150 151 152 153 154 155 156 | // // [colophon] // Example Colophon // ================ // Text at the end of a book describing facts about its production. [index] | | | | 173 174 175 176 177 178 179 180 181 182 183 184 185 | // // [colophon] // Example Colophon // ================ // Text at the end of a book describing facts about its production. [index] Index ----- //////////////////////////////////////////////////////////////// The index is normally left completely empty, it's contents are generated automatically by the DocBook toolchain. //////////////////////////////////////////////////////////////// |
Deleted docs/manual/plan.in version [660a99057c].
|
| < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < |
Added docs/manual/plan.txt version [660a99057c].
> > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 | Road Map -------- // This file is part of Megatest. // // Megatest 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. // // Megatest 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 Megatest. If not, see <http://www.gnu.org/licenses/>. // Copyright 2006-2012, Matthew Welland. Note 1: This road-map continues to evolve and subject to change without notice. Here is a smattering of ideas for Megatest 2.0 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ . Add variable $MT_RUNPATH = $MT_LINKTREE/$MT_TARGET/$MT_RUNNAME ---------------- [db] api legacy|new ---------------- . One big lesson from the 1.63-1.65 generation was that the main.db, 1.db … model was really good at scaling. I’d like to combine that model with the current also-very-good model. Obviously this is a disruptive change. I think making the old model the default and the new model an option for at least one generation would be fair. . Rigorous megatest.config and runconfig.config caching. .. Cache the configs in $MT_RUNPATH .. Following invocations of –run, -rerun* will calculate the new config but only overwrite the cached file IF changed . If the cached file changes ALL existing tests go from COMPLETED -> STALE, I’m not sure what to do about RUNNING tests . !VARS in runconfigs are not exported to the environment. They are accessed via rget as if the ! was not there. . Per test copy commands (crude example below is not correct). ---------------- [testcopy] %/iind% unison SRC DEST % cp –r SRC DEST ---------------- . Test management via pkts (optional?) .. Control pkt types: run, kill, rerunclean, clean, archive, status? .. Status pkt types: ack, step, status_change . Add nanomsg as a transport option . RFC M01: Add ability to move runs to other Areas ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ *Purpose*: allow shrinking megatest.db data by moving runs to an alternate Megatest area with same keys. *Method*: extend db sync to take a different megatest area as a destination. *Design*: . add param -destination [area|path]. when specified runs are copied to new area and removed from local db. . the data move would involve these steps .. copy the run data to destination area megatest.db .. mark the run records as deleted, do not remove the run data on disk . accessing the data would be by running dashboard in the satellite area . future versions of Megatest dashboard should support displaying areas in a merged way. . some new controls would be supported in the config .. [setup] => allow-runs [no|yes] <== used to disallow runs .. [setup] => auto-migrate=[areaname|path] <== used to automatically migrate data to a satellite area. *Branch*: This work is taking place on branch v1.65-reduce-records RFC M02: Move data into completed-runs.db ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ *Purpose*: shrink megatest.db data to enable lower load and higher performance. *Method*: add a completed-runs.db and automatically move runs data from megatest.db to that db *Design*: . completed-runs.db is a full megatest database with complete schema . the data move would involve these steps .. copy the run data to completed-runs.db .. remove the run data, first from /tmp/…/megatest.db and /tmp/…/megatest_ref.db, followed by megatest.db . accessing the data would be unchanged for most operations. . a mode -full-db will be added which when specified would attach the completed-runs.db to megatest.db before doing the query . mechanisms for moving runs to/from the megatest.db would be added .. -reduce-records => move runs to completed-runs.db .. -restore-records => move runs from completed-runs.db to megatest.db *Branch*: This work is taking place on branch v1.65-reduce-records RFC M03: Automatic homehost migrations ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ *Purpose*: Automatically migrate homehost. *Method*: Check that there are no tests running, launched or remotehoststart in past ½ hour then if not on homehost migrate the db to current host *Design*: . Check that the system is quiescent, i.e. that there are no runs in flight or recently run . Create a lock . Migrate the /tmp cache db to the current host . Update the .homehost file . Remove the lock *Branch*: This work not yet started Architecture Refactor ~~~~~~~~~~~~~~~~~~~~~ Goals ^^^^^ . Reduce load on the file system. Sqlite3 files on network filesystem can be a burden. [green]#[DONE]# . Reduce number of servers and frequency of start/stop. This is mostly an issue of clutter but also a reduction in "moving parts". [green]#[DONE]# . Coalesce activities to a single home host where possible. Give the user feedback that they have started the dashboard on a host other than the home host. [green]#[DONE]# . Reduce number of processes involved in managing running tests. Changes Needed ^^^^^^^^^^^^^^ . ACID compliant db will be on /tmp and synced to megatest.db with a five second max delay. [green]#[DONE]# . Read/writes to db for processes on homehost will go direct to /tmp megatest.db file. [green]#[DONE]# . Read/wites fron non-homehost processes will go through one server. Bulk reads (e.g. for dashboard or list-runs) will be cached on the current host in /tmp and synced from the home megatest.db in the testsuite area. [green]#[DONE]# . Db syncs rely on the target db file timestame minus some margin. [green]#[DONE]# . Since bulk reads do not use the server we can switch to simple RPC for the network transport. [green]#[DONE]# . Test running manager process extended to manage multiple running tests. Current Items ~~~~~~~~~~~~~ ww05 - migrate to inmem-db ^^^^^^^^^^^^^^^^^^^^^^^^^^ . Switch to inmem db with fast sync to on disk db's [green]#[DONE]# . Server polls tasks table for next action .. Task table used for tracking runner process [red]#[Replaced by mtutil]# .. Task table used for jobs to run [red]#[Replaced by mtutil]# .. Task table used for queueing runner actions (remove runs, cleanRunExecute, etc) [red]#[Replaced by mtutil#] // ww32 // ~~~~ // // . Rerun step and or subsequent steps from gui // . Refresh test area files from gui // . Clean and re-run button // . Clean up STATE and STATUS handling. // .. Dashboard and Test control panel are reverse order - choose and fix // .. Move seldom used states and status to drop down selector // . Access test control panel when clicking on Run Summary tests // . Feature: -generate-index-tree // . Change specifing of state and status to use STATE1/STATUS1,STATE2/STATUS2 // // ww33 // ~~~~ // // . http api available for use with Perl, Ruby etc. scripts // . megatest.config setup entries for: // .. run launching (e.g. /bin/sh %CMD% > /dev/null) // .. browser "konqueror %FNAME% // // ww34 // ~~~~ // // . Mark dependent tests for clean/rerun -rerun-downstream // . On run start check for defunct tests in RUNNING, LAUNCHED or REMOTEHOSTSTART and correct or notify // . Fix: refresh of gui sometimes fails on last item (race condition?) // // ww35 // ~~~~ // // . refdb: Add export of csv, json and sexp // . Convert to using call-with-environment-variables where possible. Should allow handling of parallel runs in same process. // . Re-work text interface wizards. Several bugs on record. Possibly convert to gui based. // . Add to testconfig requirements section; launchlimiter scriptname, calls scriptname to check if ok to launch test // . Refactor Run Summary view, currently very clumsy // . Add option to show steps in Run Summary view // // ww36 // ~~~~ // // . Refactor guis for resizeablity // . Add filters to Run Summary view and Run Control view // . Add to megatest.config or testconfig; rerunok STATE/STATUS,STATE/STATUS... // . Launch gates for diskspace; /path/one>1G,/path/two>200M,/tmp>5G,#{scheme *toppath*}>1G // // Bin List // ~~~~~~~~ // // . Quality improvements // .. Server stutters occasionally // .. Large number of items or tests still has some issues. // .. Code refactoring // .. Replace remote process with true API using json (supports Web app also) // . Streamline the gui // .. Everything resizable // .. Less clutter // .. Tool tips // .. Filters on Run Summary, Summary and Run Control panel // .. Built in log viewer (partially implemented) // .. Refactor the test control panel // . Help and documentation // .. Complete the user manual (I’ve been working on this lately). // .. Online help in the gui // . Streamlined install // .. Deployed version (download a location independent ready to run binary bundle) // .. Install Makefile (in progress, needed for Mike to install on VMs) // .. Added option to compile IUP (needed for VMs) // . Server side run launching // . Support for re-running, cleaning etc. of individual steps (ezsteps makes this very easy to implement). // . Launch process needs built in daemonizing (easy to do, just need to test it thoroughly). // . Wizards for creating tests, regression areas (current ones are text only and limited). // . Fully functional built in web service (currently you can browse runs but it is very simplistic). // . Wildcards in runconfigs: e.g. [p1271/9/%/%] // . Gui panels for editing megatest.config and runconfigs.config // . Fully isolated tests (no use of NFS to see regression area files) // . Windows version |
Deleted docs/manual/reference.in version [fdffcfb115].
|
| < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < |
Added docs/manual/reference.txt version [57db531b75].
> > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865 866 | // This file is part of Megatest. // // Megatest 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. // // Megatest 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 Megatest. If not, see <http://www.gnu.org/licenses/>. Reference --------- Megatest Use Modes ~~~~~~~~~~~~~~~~~~ .Base commands [width="80%",cols="^,2m,2m",frame="topbot",options="header"] |====================== |Use case | Megatest command | mtutil |Start from scratch | -rerun-all | restart |Rerun non-good completed | -rerun-clean | rerunclean |Rerun all non-good and not completed yet | -set-state-status KILLREQ; -rerun-|clean | killrerun |Continue run | -run | resume |Remove run | -remove-runs | clean |Lock run | -lock | lock |Unlock run | -unlock | unlock |killrun | -set-state-status KILLREQ; -kill-run | killrun |====================== Config File Helpers ~~~~~~~~~~~~~~~~~~~ Various helpers for more advanced config files. .Helpers [width="80%",cols="^,2m,2m,2m",frame="topbot",options="header"] |====================== |Helper | Purpose | Valid values | Comments | #{scheme (scheme code...)} | Execute arbitrary scheme code | Any valid scheme | Value returned from the call is converted to a string and processed as part of the config file | #{system command} | Execute program, inserts exit code | Any valid Unix command | Discards the output from the program | #{shell command} or #{sh ...} | Execute program, inserts result from stdout | Any valid Unix command | Value returned from the call is converted to a string and processed as part of the config file | #{realpath path} or #{rp ...} | Replace with normalized path | Must be a valid path | | #{getenv VAR} or #{gv VAR} | Replace with content of env variable | Must be a valid var | | #{get s v} or #{g s v} | Replace with variable v from section s | Variable must be defined before use | | #{rget v} | Replace with variable v from target or default of runconfigs file | | | #{mtrah} | Replace with the path to the megatest testsuite area | | |====================== Config File Settings ~~~~~~~~~~~~~~~~~~~~ Settings in megatest.config Config File Additional Features ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Including output from a script as if it was inline to the config file: ------------------------- [scriptinc myscript.sh] ------------------------- If the script outputs: ------------------------- [items] A a b c B d e f ------------------------- Then the config file would effectively appear to contain an items section exactly like the output from the script. This is useful when dynamically creating items, itemstables and other config structures. You can see the expansion of the call by looking in the cached files (look in your linktree for megatest.config and runconfigs.config cache files and in your test run areas for the expanded and cached testconfig). Wildcards and regexes in Targets ------------------------- [a/2/b] VAR1 VAL1 [a/%/b] VAR1 VAL2 ------------------------- Will result in: ------------------------- [a/2/b] VAR1 VAL2 ------------------------- Can use either wildcard of "%" or a regular expression: ------------------------- [/abc.*def/] ------------------------- Disk Space Checks ~~~~~~~~~~~~~~~~~ Some parameters you can put in the [setup] section of megatest.config: ------------------- # minimum space required in a run disk minspace 10000000 # minimum space required in dbdir: dbdir-space-required 100000 # script that takes path as parameter and returns number of bytes available: free-space-script check-space.sh ------------------- Trim trailing spaces ~~~~~~~~~~~~~~~~~~~~ ------------------ [configf:settings trim-trailing-spaces yes] ------------------ Job Submission Control ~~~~~~~~~~~~~~~~~~~~~~ Submit jobs to Host Types based on Test Name ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ .In megatest.config ------------------------ [host-types] general nbfake remote bsub [launchers] runfirst/sum% remote % general [jobtools] launcher bsub # if defined and not "no" flexi-launcher will bypass launcher unless # there is no host-type match. flexi-launcher yes ------------------------ host-types ++++++++++ List of host types and the commandline to run a job on that host type. .host-type => launch command ------------ general nbfake ------------ launchers +++++++++ .test/itempath => host-type ------------ runfirst/sum% remote ------------ Miscellaneous Setup Items +++++++++++++++++++++++++ Attempt to rerun tests in "STUCK/DEAD", "n/a", "ZERO_ITEMS" states. .In megatest.config ------------------ [setup] reruns 5 ------------------ Replace the default blacklisted environment variables with user supplied list. Default list: USER HOME DISPLAY LS_COLORS XKEYSYMDB EDITOR MAKEFLAGS MAKEF MAKEOVERRIDES .Add a "bad" variable "PROMPT" to the variables that will be commented out in the megatest.sh and megatest.csh files: ----------------- [setup] blacklistvars USER HOME DISPLAY LS_COLORS XKEYSYMDB EDITOR MAKEFLAGS PROMPT ----------------- Run time limit ++++++++++++++ ----------------- [setup] # this will automatically kill the test if it runs for more than 1h 2m and 3s runtimelim 1h 2m 3s ----------------- Tests browser view ~~~~~~~~~~~~~~~~~~ The tests browser (see the Run Control tab on the dashboard) has two views for displaying the tests. . Dot (graphviz) based tree . No dot, plain listing The default is the graphviz based tree but if your tests don't view well in that mode then use "nodot" to turn it off. ----------------- [setup] nodot ----------------- Capturing Test Data ~~~~~~~~~~~~~~~~~~~ In a test you can capture arbitrary variables and roll them up in the megatest database for viewing on the dashboard or web app. .In a test as a script ------------------------ $MT_MEGATEST -load-test-data << EOF foo,bar, 1.2, 1.9, > foo,rab, 1.0e9, 10e9, 1e9 foo,bla, 1.2, 1.9, < foo,bal, 1.2, 1.2, < , ,Check for overload foo,alb, 1.2, 1.2, <= , Amps,This is the high power circuit test foo,abl, 1.2, 1.3, 0.1 foo,bra, 1.2, pass, silly stuff faz,bar, 10, 8mA, , ,"this is a comment" EOF ------------------------ Alternatively you can use logpro triggers to capture values and inject them into megatest using the -set-values mechanism: .Megatest help related to -set-values ------------------------ Test data capture -set-values : update or set values in the testdata table :category : set the category field (optional) :variable : set the variable name (optional) :value : value measured (required) :expected : value expected (required) :tol : |value-expect| <= tol (required, can be <, >, >=, <= or number) :units : name of the units for value, expected_value etc. (optional) ------------------------ Dashboard settings ~~~~~~~~~~~~~~~~~~ .Runs tab buttons, font and size ------------------ [dashboard] btn-height x14 btn-fontsz 10 cell-width 60 ------------------ Database settings ~~~~~~~~~~~~~~~~~ .Database config settings in [setup] section of megatest.config [width="70%",cols="^,2m,2m,2m",frame="topbot",options="header"] |====================== |Var | Purpose | Valid values | Comments |delay-on-busy | Prevent concurrent access issues | yes\|no or not defined | Default=no, may help on some network file systems, may slow things down also. |faststart | All direct file access to sqlite db files | yes\|no or not defined | Default=yes, suggest no for central automated systems and yes for interactive use |homehost | Start servers on this host | <hostname> | Defaults to local host |hostname | Hostname to bind to | <hostname>\|- | On multi-homed hosts allows binding to specific hostname |lowport | Start searching for a port at this portnum| 32768 | |required | Server required | yes\|no or not defined | Default=no, force start of server always |server-query-threshold | Start server when queries take longer than this | number in milliseconds | Default=300 |timeout | http api timeout | number in hours | Default is 1 minute, do not change |====================== The testconfig File ------------------- Setup section ~~~~~~~~~~~~~ Header ^^^^^^ ------------------- [setup] ------------------- The runscript method is a brute force way to run scripts where the user is responsible for setting STATE and STATUS ------------------- runscript main.csh ------------------- Iteration ~~~~~~~~~ .Sections for iteration ------------------ # full combinations [items] A x y B 1 2 # Yields: x/1 x/2 y/1 y/2 # tabled [itemstable] A x y B 1 2 # Yields x/1 y/2 ------------------ Requirements section ~~~~~~~~~~~~~~~~~~~~ .Header ------------------- [requirements] ------------------- Wait on Other Tests ~~~~~~~~~~~~~~~~~~~ ------------------- # A normal waiton waits for the prior tests to be COMPLETED # and PASS, CHECK or WAIVED waiton test1 test2 ------------------- Mode ~~~~ The default (i.e. if mode is not specified) is normal. All pre-dependent tests must be COMPLETED and PASS, CHECK or WAIVED before the test will start ------------------- [requirements] mode normal ------------------- The toplevel mode requires only that the prior tests are COMPLETED. ------------------- [requirements] mode toplevel ------------------- A item based waiton will start items in a test when the same-named item is COMPLETED and PASS, CHECK or WAIVED in the prior test. This was historically called "itemwait" mode. The terms "itemwait" and "itemmatch" are synonyms. ------------------- [requirements] mode itemmatch ------------------- Overriding Enviroment Variables ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Override variables before starting the test. Can include files (perhaps generated by megatest -envdelta or similar). -------------------- [pre-launch-env-vars] VAR1 value1 # Get some generated settings [include ../generated-vars.config] # Use this trick to unset variables #{scheme (unsetenv "FOOBAR")} -------------------- Itemmap Handling ~~~~~~~~~~~~~~~~ For cases were the dependent test has a similar but not identical itempath to the downstream test an itemmap can allow for itemmatch mode .example for removing part of itemmap for waiton test (eg: item +foo-x/bar+ depends on waiton's item +y/bar+) ------------------- [requirements] mode itemwait # itemmap <item pattern for this test> <item replacement pattern for waiton test> itemmap .*x/ y/ ------------------- .example for removing part of itemmap for waiton test (eg: item +foo/bar/baz+ in this test depends on waiton's item +baz+) ------------------- # ## pattern replacement notes # # ## Example # ## Remove everything up to the last / [requirements] mode itemwait # itemmap <item pattern for this test> <nothing here indicates removal> itemmap .*/ ------------------- .example replacing part of itemmap for (eg: item +foo/1234+ will imply waiton's item +bar/1234+) ------------------- # # ## Example # ## Replace foo/ with bar/ [requirements] mode itemwait # itemmap <item pattern for this test> <item replacement pattern for waiton test> itemmap foo/ bar/ ------------------- .example for backreference (eg: item +foo23/thud+ will imply waiton's item +num-23/bar/thud+ ------------------- # # ## Example # ## can use \{number} in replacement pattern to backreference a (capture) from matching pattern similar to sed or perl [requirements] mode itemwait # itemmap <item pattern for this test> <item replacement pattern for waiton test> itemmap foo(\d+)/ num-\1/bar/ ------------------- .example multiple itemmaps ------------------- # multi-line; matches are applied in the listed order # The following would map: # a123b321 to b321fooa123 then to 321fooa123p # [requirements] itemmap (a\d+)(b\d+) \2foo\1 b(.*) \1p ------------------- Complex mapping ~~~~~~~~~~~~~~~ Complex mappings can be handled with a separate [itemmap] section (instead if an itemmap line in the [requirements] section) Each line in an itemmap section starts with a waiton test name followed by an itemmap expression .eg: The following causes waiton test A item +bar/1234+ to run when our test's +foo/1234+ item is requested as well as causing waiton test B's +blah+ item to run when our test's +stuff/blah+ item is requested -------------- [itemmap] A foo/ bar/ B stuff/ -------------- Complex mapping example ~~~~~~~~~~~~~~~~~~~~~~~ // image::itemmap.png[] image::complex-itemmap.png[] We accomplish this by configuring the testconfigs of our tests C D and E as follows: .Testconfig for Test E has ---------------------- [requirements] waiton C itemmap (\d+)/res \1/bb ---------------------- .Testconfig for Test D has ---------------------- [requirements] waiton C itemmap (\d+)/res \1/aa ---------------------- .Testconfig for Test C has ---------------------- [requirements] waiton A B [itemmap] A (\d+)/aa aa/\1 B (\d+)/bb bb/\1 ---------------------- .Testconfigs for Test B and Test A have no waiton or itemmap configured ------------------- ------------------- .Walk through one item -- we want the following to happen for testpatt +D/1/res+ (see blue boxes in complex itemmaping figure above): . eg from command line +megatest -run -testpatt D/1/res -target mytarget -runname myrunname+ . Full list to be run is now: +D/1/res+ . Test D has a waiton - test C. Test D's itemmap rule +itemmap (\d+)/res \1/aa+ -> causes +C/1/aa+ to run before +D/1/res+ . Full list to be run is now: +D/1/res+, +C/1/aa+ . Test C was a waiton - test A. Test C's rule +A (\d+)/aa aa/\1+ -> causes +A/aa/1+ to run before +C/1/aa+ . Full list to be run is now: +D/1/res+, +C/1/aa+, +A/aa/1+ . Test A has no waitons. All waitons of all tests in full list have been processed. Full list is finalized. itemstable ~~~~~~~~~~ An alternative to defining items is the itemstable section. This lets you define the itempath in a table format rather than specifying components and relying on getting all permutations of those components. Dynamic Flow Dependency Tree ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .Autogeneration waiton list for dynamic flow dependency trees ------------------- [requirements] # With a toplevel test you may wish to generate your list # of tests to run dynamically # waiton #{shell get-valid-tests-to-run.sh} ------------------- Run time limit ~~~~~~~~~~~~~~ ----------------- [requirements] runtimelim 1h 2m 3s # this will automatically kill the test if it runs for more than 1h 2m and 3s ----------------- Skip ~~~~ A test with a skip section will conditional skip running. .Skip section example ----------------- [skip] prevrunning x # rundelay 30m 15s ----------------- Skip on Still-running Tests ~~~~~~~~~~~~~~~~~~~~~~~~~~~ ----------------- # NB// If the prevrunning line exists with *any* value the test will # automatically SKIP if the same-named test is currently RUNNING. The # "x" can be any string. Comment out the prevrunning line to turn off # skip. [skip] prevrunning x ----------------- Skip if a File Exists ~~~~~~~~~~~~~~~~~~~~~ ----------------- [skip] fileexists /path/to/a/file # skip if /path/to/a/file exists ----------------- Skip if test ran more recently than specified time ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .Skip if this test has been run in the past fifteen minutes and 15 seconds. ----------------- [skip] rundelay 15m 15s ----------------- Disks ~~~~~ A disks section in testconfig will override the disks section in megatest.config. This can be used to allocate disks on a per-test or per item basis. Controlled waiver propagation ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ If test is FAIL and previous test in run with same MT_TARGET is WAIVED then apply the following rules from the testconfig: If a waiver check is specified in the testconfig apply the check and if it passes then set this FAIL to WAIVED Waiver check has two parts, 1) a list of waiver, rulename, filepatterns and 2) the rulename script spec (note that "diff" and "logpro" are predefined) ----------------- ###### EXAMPLE FROM testconfig ######### # matching file(s) will be diff'd with previous run and logpro applied # if PASS or WARN result from logpro then WAIVER state is set # [waivers] # logpro_file rulename input_glob waiver_1 logpro lookittmp.log [waiver_rules] # This builtin rule is the default if there is no <waivername>.logpro file # diff diff %file1% %file2% # This builtin rule is applied if a <waivername>.logpro file exists # logpro diff %file1% %file2% | logpro %waivername%.logpro %waivername%.html ----------------- Ezsteps ~~~~~~~ .Example ezsteps with logpro rules ----------------- [ezsteps] lookittmp ls /tmp [logpro] lookittmp ;; Note: config file format supports multi-line entries where leading whitespace is removed from each line ;; a blank line indicates the end of the block of text (expect:required in "LogFileBody" > 0 "A file name that should never exist!" #/This is a awfully stupid file name that should never be found in the temp dir/) ----------------- To transfer the environment to the next step you can do the following: .Propagate environment to next step ---------------------------- $MT_MEGATEST -env2file .ezsteps/${stepname} ---------------------------- Triggers ~~~~~~~~ In your testconfig or megatest.config triggers can be specified .Triggers spec ----------------- [triggers] # Call script running.sh when test goes to state=RUNNING, status=PASS RUNNING/PASS running.sh # Call script running.sh any time state goes to RUNNING RUNNING/ running.sh # Call script onpass.sh any time status goes to PASS PASS/ onpass.sh ----------------- Scripts called will have; test-id test-rundir trigger test-name item-path state status event-time, added to the commandline. HINT To start an xterm (useful for debugging), use a command line like the following: .Start an xterm using a trigger for test completed. ----------------- [triggers] COMPLETED/ xterm -e bash -s -- ----------------- NOTE: There is a trailing space after the double-dash There are a number of environment variables available to the trigger script but since triggers can be called in various contexts not all variables are available at all times. The trigger script should check for the variable and fail gracefully if it doesn't exist. // ,cols="^,2m" .Environment variables visible to the trigger script [width="90%",frame="topbot",options="header"] |====================== | Variable | Purpose | MT_TEST_RUN_DIR | The directory where Megatest ran this test | MT_CMDINFO | Encoded command data for the test | MT_DEBUG_MODE | Used to pass the debug mode to nested calls to Megatest | MT_RUN_AREA_HOME | Megatest home area | MT_TESTSUITENAME | The name of this testsuite or area | MT_TEST_NAME | The name of this test | MT_ITEM_INFO | The variable and values for the test item | MT_MEGATEST | Which Megatest binary is being used by this area | MT_TARGET | The target variable values, separated by '/' | MT_LINKTREE | The base of the link tree where all run tests can be found | MT_ITEMPATH | The values of the item path variables, separated by '/' | MT_RUNNAME | The name of the run |====================== Override the Toplevel HTML File ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Megatest generates a simple html file summary for top level tests of iterated tests. The generation can be overridden. NOTE: the output of the script is captured from stdout to create the html. .For test "runfirst" override the toplevel generation with a script "mysummary.sh" ----------------- # Override the rollup for specific tests [testrollup] runfirst mysummary.sh ----------------- Archiving Setup --------------- In megatest.config add the following sections: .megatest.config -------------- [archive] # where to get bup executable # bup /path/to/bup [archive-disks] # Archives will be organised under these paths like this: # <testsuite>/<creationdate> # Within the archive the data is structured like this: # <target>/<runname>/<test>/ archive0 /mfs/myarchive-data/adisk1 -------------- Environment Variables --------------------- It is often necessary to capture and or manipulate environment variables. Megatest has some facilities built in to help. Capture variables ~~~~~~~~~~~~~~~~~ .Commands ------------------------------ # capture the current enviroment into a db called envdat.db under # the context "before" megatest -envcap before # capture the current environment into a db called startup.db with # context "after" megatest -envcap after startup.db # write the diff from before to after megatest -envdelta before-after -dumpmode bash ------------------------------ Dump modes include bash, csh and config. You can include config data into megatest.config, runconfigs.config and testconfig files. This is useful for capturing a complex environment in a special-purpose test and then utilizing that environment in downstream tests. .Example of generating and using config data ------------------------------ megatest -envcap original # do some stuff here megatest -envcap munged megatest -envdelta original-munged -dumpmode ini -o modified.config ------------------------------ Then in runconfigs.config .Example of using modified.config in a testconfig ------------------------------ [pre-launch-env-vars] [include modified.config] ------------------------------ Managing Old Runs ----------------- It is often desired to keep some older runs around but this must be balanced with the costs of disk space. . Use -remove-keep . Use -archive (can also be done from the -remove-keep interface) . use -remove-runs with -keep-records .For each target, remove all runs but the most recent 3 if they are over 1 week old --------------------- # use -precmd 'sleep 5;nbfake' to limit overloading the host computer but to allow the removes to run in parallel. megatest -actions print,remove-runs -remove-keep 3 -target %/%/%/% -runname % -age 1w -precmd 'sleep 5;nbfake'" --------------------- Nested Runs ----------- A Megatest test can run a full Megatest run in either the same Megatest area or in another area. This is a powerful way of chaining complex suites of tests and or actions. If you are not using the current area you can use ezsteps to retrieve and setup the sub-Megatest run area. In the testconfig: --------------- [subrun] # Required: wait for the run or just launch it # if no then the run will be an automatic PASS irrespective of the actual result run-wait yes|no # Optional: where to execute the run. Default is the current runarea run-area /some/path/to/megatest/area # Optional: method to use to determine pass/fail status of the run # auto (default) - roll up the net state/status of the sub-run # logpro - use the provided logpro rules, happens automatically if there is a logpro section # passfail auto|logpro # Example of logpro: passfail logpro # Optional: logpro ;; if this section exists then logpro is used to determine pass/fail (expect:required in "LogFileBody" >= 1 "At least one pass" #/PASS/) (expect:error in "LogFileBody" = 0 "No FAILs allowed" #/FAIL/) # Optional: target translator, default is to use the parent target target #{shell somescript.sh} # Optional: runname translator/generator, default is to use the parent runname run-name #{somescript.sh} # Optional: testpatt spec, default is to first look for TESTPATT spec from runconfigs unless there is a contour spec test-patt %/item1,test2 # Optional: contour spec, use the named contour from the megatest.config contour spec contour contourname ### NOTE: Not implemented yet! Let us know if you need this feature. # Optional: mode-patt, use this spec for testpatt from runconfigs mode-patt TESTPATT # Optional: tag-expr, use this tag-expr to select tests tag-expr quick # Optional: (not yet implemented, remove-runs is always propagated at this time), propagate these actions from the parent # test # Note// default is % for all propagate remove-runs archive ... --------------- Programming API --------------- These routines can be called from the megatest repl. .API Keys Related Calls [width="70%",cols="^,2m,2m,2m",frame="topbot",options="header,footer"] |====================== |API Call | Purpose comments | Returns | Comments |(rmt:get-keys run-id) | | ( key1 key2 ... ) | | (rmt:get-key-val-pairs run-id) | | #t=success/#f=fail | Works only if the server is still reachable |====================== :numbered!: |
Added docs/manual/stand-alone-megatest-area.svg version [0556f7fe69].
cannot compute difference between binary files
Added docs/manual/study_plan.txt version [9c5fdaf595].
> > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 | // This file is part of Megatest. // // Megatest 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. // // Megatest 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 Megatest. If not, see <http://www.gnu.org/licenses/>. // // Copyright 2006-2012, Matthew Welland. Study Plan ---------- Megatest is an extensive program with a lot to learn. Following are some paths through the material to smooth the learning path. Basic Concepts (suggest you pick these up on the way) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ * Components of automation; run, test, iteration * Selectors; target, runname, and testpatt Running Testsuites or Automation ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ * Using the dashboard gui (recommended) ** Using the "Runs" panel. ** Using the "Run Control" panel. ** Using a test control panel ** The Right Mouse Button menu ** Debug features *** xterm **** pstree **** log files; mt_copy.log, mt_launch.log **** variables; megatest.csh, megatest.sh **** testconfig dump, *testconfig *** State/status buttons *** Run, Clean, KillReq *** ReRunClean * Using the command line ** Getting help; megatest -h, megatest -manual ** Starting runs; megatest -run *** Selection controls; -target, -runname and -testpatt Writing Tests and Flows ~~~~~~~~~~~~~~~~~~~~~~~ * environment variables (table 5) * tests/_testname_/testconfig link:megatest_manual.html#_the_testconfig_file[testconfig details] ** ezsteps and logpro section ** iteration (one test applied to many inputs), items, itemstable link:megatest_manual.html#_iteration[test iteration] ** dependencies, waiton, itemmatch, itemwait link:megatest_manual.html#_requirements_section[test requirements] ** miscellaneous; mode toplevel, runtimelim, skip on file or on running, waiver propagation * megatest areas ** megatest.config ** runconfigs.config ** config language features; include, shell, system, scheme, rp|realpath, getenv, get, rget, scriptinc link:megatest.html#_config_file_helpers[config file helpers] Advanced Topics ~~~~~~~~~~~~~~~ * Removing and keeping runs selectively link:megatest_manual.html#_managing_old_runs[managing runs] * Subruns link:megatest_manual.html#_nested_runs[nested runs] * Config file features link:megatest_manual.html#_config_file_helpers[config file features] * HTML output with -generate-html * Triggers, post run, state/status * MTLOWESTLOAD * flexilauncher * env delta and testconfig * capturing test data, extracting values from logpro and using them for pass/fail * mtutil, postgres connection, packets for cross-site/cross-user control (e.g. mcrun). Maintenance and Troubleshooting ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ * cleanup-db, database structure of Megatest 1.6x * archiving * homehost management * show-runconfig * show-config * show with -debug 0,9 * load management |
docs/megatest-state-status.dot became executable with contents [dc07177953].
︙ | ︙ |
docs/megatest-training.odp became executable with contents [ba7ab2ab9e].
cannot compute difference between binary files
minimal/manyservers.sh became executable with contents [4d2e898ea9].
︙ | ︙ |
mkdeploy/tests/checkspace/checkspace.sh became executable with contents [5bd9381323].
︙ | ︙ |
mkdeploy/tests/eggs/install.sh became executable with contents [4bce64895a].
︙ | ︙ |
mkdeploy/tests/executables/addlibs.sh became executable with contents [80ef7c0644].
︙ | ︙ |
mkdeploy/tests/executables/install.sh became executable with contents [d61294c054].
︙ | ︙ |
mkdeploy/tests/executables/linksrc.sh became executable with contents [12739c4889].
︙ | ︙ |
mkdeploy/tests/helpers/install.sh became executable with contents [5bd9381323].
︙ | ︙ |
records.sh became executable with contents [abe356c38c].
︙ | ︙ |
tests/fdktestqa/testqa/runsuite.sh became executable with contents [c108c24f2d].
︙ | ︙ |
tests/release/tests/itemwait/watchrun.sh became executable with contents [ecbe7ec9af].
︙ | ︙ |
tests/simplerun/tests/test2/step1.sh became executable with contents [de871e9b2f].
︙ | ︙ |
tests/simplerun/tests/test2/step2.sh became executable with contents [de871e9b2f].
︙ | ︙ |
tests/speedtest/tests/speedtest/main.sh became executable with contents [fbb8189cfc].
︙ | ︙ |
tests/watch-monitor.sh became executable with contents [264f0c8557].
︙ | ︙ |
utils/loadrunner became executable with contents [b74a707821].
︙ | ︙ |
utils/mt_ezstep became executable with contents [4f4602fc1b].
︙ | ︙ |
utils/mt_laststep became executable with contents [fae58533b9].
︙ | ︙ |
utils/mt_runstep became executable with contents [effc903bf9].
︙ | ︙ |
utils/mt_xterm became executable with contents [868b69899e].
︙ | ︙ |
utils/mtgetfile became executable with contents [003893808f].
︙ | ︙ |
utils/mtrunner became executable with contents [726df7dae8].
︙ | ︙ |
utils/mtutils.csh became a regular file with contents [6bd5da1b2e].
︙ | ︙ |
utils/nbfake became executable with contents [c26c7b18f9].
︙ | ︙ |
utils/nbfind became executable with contents [845fc2490b].
︙ | ︙ |
utils/plot-code.scm became executable with contents [2b6e0cd992].
︙ | ︙ |
utils/remrun became executable with contents [7a107135c8].
︙ | ︙ |
utils/viewscreen became executable with contents [fe2bbf9f4f].
︙ | ︙ |