（一）DDMS 的Heap Dump

1) Data Object：java object.

2) Class Object：object of type Class, e.g. what you'd get from java.lang.String.class or myObject.getClass( ).
3) 1,2,4,8-byte array：Number of bytes per entry.
   1-byte array: byte, boolean
   2-byte array: char, short
   4-byte array: float, int
   8-byte array: double, long

4) non-Java object：A non-Java Object is a piece of memory that isn't
actually accessible from code written in Java. Essentially it's a blob
of stuff that got stuck on the virtual heap but has no meaning to
interpreted code. Shouldn't be much of that.----------------------------------------------------

需要root权限同时要支持以下命令的Android工程机

1：root@android:/ # procrank  查看所有进程的内存信息包括：PID      Vss      Rss      Pss      Uss  cmdline

root@android:/ # procrank

warning: could not create process interface for 32099

  PID      Vss      Rss      Pss      Uss  cmdline

17690   75152K   75020K   40491K   38024K  com.dianxinos.optimizer.channel

13968  124792K   61864K   35726K   34372K  com.dianxinos.optimizer.channel

 1516   65052K   64940K   29661K   27076K  android.process.acore

 1322   88028K   65764K   29581K   26156K  system_server

 1417   68320K   63892K   28635K   25820K  com.android.systemui

 1757   55040K   54960K   21176K   19084K  com.qihoo360.mobilesafe_mtk6573

12294   45208K   45096K   13238K   11220K  android.process.acore

29904   44984K   44896K   12227K   10316K  com.dianxinos.optimizer.engine.demo:service

29819   61032K   44624K   11772K    9808K  com.dianxinos.optimizer.engine.demo

13284   40556K   40448K    9823K    8472K  com.qihoo.appstore

 1499   40036K   39940K    9095K    7700K  com.android.phone

 1478   39988K   39880K    8998K    7588K  com.cootek.smartinputv5

12497   36860K   36736K    6975K    5844K  android.process.media

12910   36420K   36336K    6754K    5640K  com.cnnet.fknjjzw

25083   36772K   36640K    6413K    5180K  com.google.process.gapps

26667   36660K   36512K    6323K    5008K  com.qihoo.browser

 1297   40400K   40240K    5366K    2804K  zygote

30870   34424K   34284K    4495K    3264K  com.android.contacts

31078   34304K   34164K    4338K    3188K  com.android.providers.calendar

11595   33692K   33552K    4064K    2796K  net.qihoo.launcher.widget.clockweather:WeatherService

30623   33720K   33576K    4005K    2748K  com.android.settings

31103   33980K   33836K    3973K    2768K  com.android.calendar

2：root@android:/ # showmap 29904 查看指定Pid的内存具体信息

root@android:/ # showmap 29904

 virtual                     shared   shared  private  private

    size      RSS      PSS    clean    dirty    clean    dirty    # object

-------- -------- -------- -------- -------- -------- -------- ---- ------------------------------

     124      124       17      124        0        0        0    3 /data/app/com.dianxinos.optimizer.engine.demo-2.apk

    1400      708      351      676        0       32        0    1 /data/dalvik-cache/data@app@com.dianxinos.optimizer.engine.demo-2.apk@classes.dex

     328      148       15      148        0        0        0    1 /data/dalvik-cache/system@framework@android.policy.jar@classes.dex

    1348       32        1       32        0        0        0    1 /data/dalvik-cache/system@framework@apache-xml.jar@classes.dex

     956      344       54      344        0        0        0    1 /data/dalvik-cache/system@framework@bouncycastle.jar@classes.dex

       4        4        0        4        0        0        0    1 /data/dalvik-cache/system@framework@com.qrd.plugin.feature_query.jar@classes.dex

       8        8        0        8        0        0        0    1 /data/dalvik-cache/system@framework@com.qrdinside.impl.jar@classes.dex

      24        8        0        8        0        0        0    1 /data/dalvik-cache/system@framework@core-junit.jar@classes.dex

    3288     1372       68     1372        0        0        0    1 /data/dalvik-cache/system@framework@core.jar@classes.dex

    1460       96        5       96        0        0        0    1 /data/dalvik-cache/system@framework@ext.jar@classes.dex

     316       16        0       16        0        0        0    1 /data/dalvik-cache/system@framework@filterfw.jar@classes.dex

   11476     4616      316     4588       20        8        0   11 /data/dalvik-cache/system@framework@framework.jar@classes.dex

    2208       48        2       48        0        0        0    1 /data/dalvik-cache/system@framework@services.jar@classes.dex

      64       40        0        0       40        0        0    1 /dev/__properties__ (deleted)

      24        4        2        0        4        0        0    1 /dev/ashmem/InputChannel 41a89fb0 com.dianxinos.optimizer.engine.demo/com.dianxinos.optimizer.engine.demo.antispam.AntiSpamActi

       4        4        0        4        0        0        0    1 /dev/ashmem/SurfaceFlinger read-only heap (deleted)

    8192     2864      249        0     2712        0      152    4 /dev/ashmem/dalvik-LinearAlloc (deleted)

    2048        0        0        0        0        0        0    1 /dev/ashmem/dalvik-bitmap-1 (deleted)

    2048      220      220        0        0        0      220    1 /dev/ashmem/dalvik-bitmap-2 (deleted)

    1028      128      128        0        0        0      128    1 /dev/ashmem/dalvik-card-table (deleted)

  131072    16136     7117        0     9356        0     6780    3 /dev/ashmem/dalvik-heap (deleted)

    1024       96       96        0        0        0       96    1 /dev/ashmem/dalvik-jit-code-cache (deleted)

   43692        0        0        0        0        0        0    1 /dev/ashmem/dalvik-mark-stack (deleted)

    1016        4        4        0        0        4        0    1 /dev/binder

      12        8        0        4        4        0        0    2 /system/bin/app_process

      36       24        4       20        0        0        4    2 /system/bin/linker

     360       24        3       24        0        0        0    1 /system/fonts/DroidNaskh-Regular.ttf

      16       12        1       12        0        0        0    1 /system/fonts/DroidSansArmenian.ttf

     224       16        2       16        0        0        0    1 /system/fonts/DroidSansEthiopic-Regular.ttf

    5176      764      147      748        0       16        0    1 /system/fonts/DroidSansFallback.ttf

      24       12        1       12        0        0        0    1 /system/fonts/DroidSansGeorgian.ttf

      32       16        4       16        0        0        0    1 /system/fonts/DroidSansHebrew-Bold.ttf

      32       16        2       16        0        0        0    1 /system/fonts/DroidSansHebrew-Regular.ttf

      36       16        2       16        0        0        0    1 /system/fonts/DroidSansThai.ttf

     140        8        1        8        0        0        0    1 /system/fonts/Lohit-Bengali.ttf

      64       16        2       16        0        0        0    1 /system/fonts/Lohit-Devanagari.ttf

      68        8        1        8        0        0        0    1 /system/fonts/Lohit-Tamil.ttf

      80       12        3       12        0        0        0    1 /system/fonts/Roboto-Bold.ttf

      80       16        2       16        0        0        0    1 /system/fonts/Roboto-Regular.ttf

       4        0        0        0        0        0        0    1 /system/framework/android.policy.jar

       8        0        0        0        0        0        0    1 /system/framework/apache-xml.jar

       4        0        0        0        0        0        0    1 /system/framework/bouncycastle.jar

       4        0        0        0        0        0        0    1 /system/framework/com.qrd.plugin.feature_query.jar

       4        0        0        0        0        0        0    1 /system/framework/com.qrdinside.impl.jar

       4        0        0        0        0        0        0    1 /system/framework/core-junit.jar

       4        0        0        0        0        0        0    1 /system/framework/core.jar

      64        0        0        0        0        0        0    1 /system/framework/ext.jar

       4        0        0        0        0        0        0    1 /system/framework/filterfw.jar

     944      212       25      212        0        0        0    2 /system/framework/framework-res.apk

       4        0        0        0        0        0        0    1 /system/framework/framework.jar

       4        0        0        0        0        0        0    1 /system/framework/services.jar

      20       20        9       12        0        0        8    2 /system/lib/hw/gralloc.msm7627a.so

     152       80        5       52       24        0        4    3 /system/lib/libEGL.so

      12        8        0        0        8        0        0    2 /system/lib/libETC1.so

      24       16        0        8        8        0        0    2 /system/lib/libGLESv1_CM.so

      20       16        0        8        8        0        0    2 /system/lib/libGLESv2.so

     128       84        2       72       12        0        0    2 /system/lib/libGLESv2_dbg.so

      24       20        0       12        8        0        0    2 /system/lib/libQcomUI.so

     640      272      132      124       20        0      128    3 /system/lib/libRS.so

      56       52        1       40       12        0        0    2 /system/lib/libandroid.so

     704      616       24      568       44        0        4    2 /system/lib/libandroid_runtime.so

    4276      796       27      576      220        0        0    3 /system/lib/libbcc.so

     844      220        7      204       16        0        0    2 /system/lib/libbcinfo.so

     164      156        7      128       24        0        4    2 /system/lib/libbinder.so

      12        8        0        0        8        0        0    2 /system/lib/libbluedroid.so

     320      228       19      188       24        0       16    3 /system/lib/libc.so

     124      120        3       96       24        0        0    2 /system/lib/libcamera_client.so

    2472     1040       35      964       76        0        0    3 /system/lib/libchromium_net.so

       8        8        0        0        8        0        0    2 /system/lib/libcnefeatureconfig.so

     816      476       14      400       76        0        0    3 /system/lib/libcrypto.so

     120       44        5       36        4        0        4    3 /system/lib/libcutils.so

     300       56        1       48        8        0        0    2 /system/lib/libdbus.so

      92       84        2       68       16        0        0    2 /system/lib/libdrmframework.so

     748      640       50      580       44        0       16    3 /system/lib/libdvm.so

      28       20        8        4        8        0        8    3 /system/lib/libemoji.so

      52       12        0        4        8        0        0    3 /system/lib/libexif.so

      80        8        0        0        8        0        0    2 /system/lib/libexpat.so

     176       28        0       16       12        0        0    2 /system/lib/libflex.so

      16       16        0        8        8        0        0    2 /system/lib/libgabi++.so

       8        8        8        0        0        0        8    2 /system/lib/libgenlock.so

      60       56        1       40       16        0        0    2 /system/lib/libgesture_client.so

     216      208       10      168       36        0        4    2 /system/lib/libgui.so

       8        8        0        0        8        0        0    2 /system/lib/libhardware.so

      24       12        0        4        8        0        0    2 /system/lib/libhardware_legacy.so

     256       52        1       44        8        0        0    2 /system/lib/libharfbuzz.so

     140       60        2       48       12        0        0    2 /system/lib/libhwui.so

    1168      700       28      672       24        0        4    2 /system/lib/libicui18n.so

     992      692       36      644       36        0       12    3 /system/lib/libicuuc.so

     216       20        0       12        8        0        0    2 /system/lib/libjpeg.so

      16       16        0        8        8        0        0    2 /system/lib/liblog.so

      92       52        5       40        8        0        4    3 /system/lib/libm.so

     436      376       19      308       64        0        4    2 /system/lib/libmedia.so

      88       84        2       72       12        0        0    2 /system/lib/libmedia_jni.so

      24       24        4       16        4        0        4    2 /system/lib/libmemalloc.so

      76       40        1       28       12        0        0    2 /system/lib/libmtp.so

     216      176        5      160       16        0        0    2 /system/lib/libnativehelper.so

      24       12        0        4        8        0        0    2 /system/lib/libnetutils.so

       8        8        0        0        8        0        0    2 /system/lib/libnfc_ndef.so

     972      112        3       92       20        0        0    3 /system/lib/libnode.so

     112       60        1       48       12        0        0    2 /system/lib/libpixelflinger.so

      16       16        0        8        8        0        0    2 /system/lib/libpowermanager.so

      12       12        0        4        8        0        0    2 /system/lib/libqc-opt.so

       8        8        0        0        8        0        0    2 /system/lib/libqrdinside.so

      24       24        0       16        8        0        0    2 /system/lib/librs_jni.so

    1228      836       49      804       24        0        8    3 /system/lib/libskia.so

     336       20        0       12        8        0        0    3 /system/lib/libsonivox.so

     328      304       15      292        8        0        4    2 /system/lib/libsqlite.so

     184      116        3       96       20        0        0    2 /system/lib/libssl.so

    1496      416       14      368       48        0        0    2 /system/lib/libstagefright.so

      52       12        0        4        8        0        0    2 /system/lib/libstagefright_amrnb_common.so

      40       16        4        4        8        0        4    3 /system/lib/libstagefright_avc_common.so

       8        8        0        0        8        0        0    2 /system/lib/libstagefright_enc_common.so

      44       36        1       28        8        0        0    2 /system/lib/libstagefright_foundation.so

      12        8        0        0        8        0        0    2 /system/lib/libstagefright_yuv.so

       8        8        0        0        8        0        0    2 /system/lib/libstdc++.so

     208       16        4        8        4        0        4    2 /system/lib/libstlport.so

      16       16        0        8        8        0        0    2 /system/lib/libtilerenderer.so

      92       80        7       68        8        0        4    2 /system/lib/libui.so

      12        8        0        0        8        0        0    2 /system/lib/libusbhost.so

     188      172        8      160        8        0        4    2 /system/lib/libutils.so

    2680      512       17      428       84        0        0    3 /system/lib/libv8.so

     100       20        0        8       12        0        0    2 /system/lib/libvorbisidec.so

    6364     1724       59     1200      524        0        0    3 /system/lib/libwebcore.so

      12       12        0        4        8        0        0    2 /system/lib/libwpa_client.so

      96       52        1       44        8        0        0    2 /system/lib/libz.so

      36        8        0        0        8        0        0    2 /system/lib/libzipfile.so

   14304      144       10      144        0        0        0    2 /system/usr/icu/icudt46l.dat

     476        0        0        0        0        0        0    1 /system/usr/share/zoneinfo/zoneinfo.dat

    9896     1392      978        0      432        0      960   29 [anon]

    2756     2752     1675        0     1120        0     1632    2 [heap]

    1160       28       24        0        4        0       24    3 [stack]

       4        4        4        0        0        0        4    1 [vectors]

-------- -------- -------- -------- -------- -------- -------- ---- ------------------------------

 virtual                     shared   shared  private  private

    size      RSS      PSS    clean    dirty    clean    dirty    # object

-------- -------- -------- -------- -------- -------- -------- ---- ------------------------------

  280360    44900    12195    18956    15624       60    10260  277 TOTAL

3: dumpsys meminfo 包名

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pFTUOioKxpSxTODgCi8oLV6kUh74lTNi9V/vdsSi0dBKksK74MIVb8+aMNF4yiNtdy4Im4U1r7whvvZErFt7YAOFAUmAwEWEoARvVYipvtOiv7mhgVGxca6HPU4vhb0pBVCwbRpzzxon+svHzP9zt9wqji8+tQO41+OIbxGEUsVleR8vlz4Pvn5w9tnX48dvAGa9Nh6Bhew2RWedR/7x89ezCn+TwXTVe/8avPOt+MDgksZcyFRdwwG0IbxBOaYJuVEvpunRQirfcuhjGQEHxbA90iDS/zl0t5ynMH1ca5YJGpdz9HJR8Y2YmtdbsdSB+U3D5DouTY2fLUAPtjp3zCQiI/PPG6sv/fqDLa7siYAcA38sT7lqNEn0/PRp1MP4iS401OuafGoxd8zHjiuHtSv96ZyedVXr1aOeXGGUvXr8rLlv7x23HGO2C69b8PstGAT/b/4Lx9/oBmo9a8snMMj772C6ik3Q4R+f7/Wo74pYHw9r3TzWcrs+MSU2IbftIyGvYkZHovY7uSXbzczYygOSCATQBG9bD59JlSKrm2hozgCThaRiegesxl37KvriYG/skVeLEBSsrkjCra5yhmUa+xqkv1dn1neWr5fEX7xNQCXwu1SAEeGZ3brpvaWESQmbJyqxZy8/ixAymF5WQecQliYg5tU90fsU4z53uo7XR2nRa6YcOVGNpACrksuxpBKIXhPpHIoXn/k7OO+YIOeAoM/p+6QOX7t5k1bVpn4Yk+KLkFXVJZWkwpbrGe9uj3nnE/GKHJuICCFQB1aafX/n2TF41xvOi4rfdPzKl8dP8T6mQEwQmNtfNw2VbnfdDkbESF1KzN+2xvnCqbu9Ulq4Pdk7vd6fxDdPQGpJz3/ZJI9E4wXbNqmFPEZ8a4Xle6wolNPOnltJn80tr8bDxu+DqLnQ+8JBYsPO6P5sUEmZVnPa/PpQTcurotND23mkdaTjgtl9SVbnqhDtN7GcOVGEW9oAC6BAKsIwCpHutYs21PeAEpFZ3tJvP4Cq6+omcwPOIKokhJSsSbkOh89JMuOuqn6RhFvaeP+iMntgCZNFSKB0mtrchNrkCI1d/pn+DtHdWp9718/apaFFFrilLTKsVL6pH6ki9p6YnN8jjy99BbnxGnBf9TvPIllcQzUGOSbF30o4RenkXqg5JbOKwywmLTGZHze8JDdZ953nV2f/I2s5qR8ZEwAoBaV5j5pRBBCFKzrljMEfpwcs7xkGLapD9eTsfcSD7ccJadRwHt9/Bk6rRgxy2asq43s1mb+/COWDx/QNIN31xyPe6d5xfTbYuHWn+OZRrM7QV4s3N4BR3jzbJfj+pYn0lBv6cEvk3mGf3U8LD2tYC7efxqho5zhUNtF//lnsXWizYmnc1NadSUeGbMUve0Jpe0cy9juDJXhl283IHboBgIdDcBmMDtbqKc1Z6Gk39lSkRhiKfbUtIdKyNrxhBHeeg+2zcUvQvpwXfuHFitoyL8cyYLo6h3lTfML/eAEeR8n9uR5GGLFigQEYLEFE0lUuTT0PLmI0k90GlnmuyDkn9ioZR9dtfTnD5up2ea0pqHb1693jVRspMTrkQF/VPH9RAffZO7SQ3jZfwqU1UIvBNdghjP+kRVhjvOIiLSyhKsfkSHb7DufMnY+wHZ6FcsUvbTp5myc+aO+KXnyFtEjsCQKYOR7x/eNOZytZlBb78jIycpCiBEuT/HSSHxrs9z2DrPQ+Wga/UW6U6i/6jvfPytg9Qbw5UYRZ253+AaIMC5BGBUj3N91x2Wxzhu3vK+pLqsMDO/vO5n9lKbdNdC9dVIncUL9ZZuu2dgEnHVdOnpsCLaXBZGUXcY1KU2cIJyf0gj+alFtLlY+tEopVuyIUq+/52X1acMFipevjNkxShquHVkEeP5jy5Z2y2V+qDkdriRq1Lee+57//DyinNhx49bvVloHt0wHss8AHiH6R8/O7Xo0hoHn8ImL+JweBxS7LN+4/W4n5Ol1PrSHBZP0/MpzV4kzzPY5lmZTZPcWQsH/ROV9Bv5GH1RRtPR9AuVgkKisnp+uh0vdnSKvlavvKOrGssxXElkEy93VgpcBwS6jQCket2GkiMbqshOjU2iL2dvc9QVJXhfT/C+cWHUpusf9u4zuLfi1JeGL9QYRW2aYcEJnsGL9GcQs84+z2j6mKbWVaEf0iKSggSkvNMfZtTaH3WIQL9mY5gNxlOKQ87+V/Ry1cpZGbITkSjT94WdbrOH5PdByRgk6zOD36UiGqoD+XHRNYxgZhYA/EPX3rBUTXdeYxNe0Szsq1OD0qjaahOIeQ9bLv3D6LUHingUZ88ZlOula+iZxvjWwj/8gOvxpTPl7JO+Mk5Q6mvR/xEU5ccjFa2+brRXVJ0Wko5oq2sO5A1PpiWLfIpTZ0ojCWGZ1Qgp71NMEaKzXnPAvbvZTd+RekAUi5vEcGU9e3iZxUCgOyCAEoBUD8KgLQFhNesDs0pDwqIyS2v5Zaeq9UfImfnV9E8WjKK27fTsGZGhqn9MqpNSnbnSepNqhrvhuWYjH5TytNBcxGTL9i3FfgWicnyRDzzSOhwXqc+OTq02nHXEZLFDYCFRRknk04PbqYzs8ceHG7fj9UxcjiD48H1vem1Mrw9Kbj+GiLJzjpuMSAv8GJNdQRFR0tqwbSyScjih4dkhtE77AUBUMDhmNK7K3+gdSXnEUFrTlOqs9KxSEiX72blLhtdM3F36XfTwSSiqF5AeKlfm7e7f0XRh++Z18SxBWlN70I8o+3cJ6ZWMJnDF3nHkZdqT5Fy+ZtC/XlAqvkQXIRs2bFxXGlohLkuMfOSV3hDY7RZlPbtwbcdlqytHSad94gnD1u4yHJp3f4EvbQlu5aerhwPm/GN368mIG25Bafm1RDGZAcSIh00NdlFFL1fDcCVGUS8bDd0DgR4mAKleDwPmxOYJfPx4qcm77dfR30BcV5AUetrY3iuPluphFLFSaV1xZnr1vIPX3A4itbmJYXcPrDnxIL7hpXoMO2qTTu9zGWuvf/qfvyilidcsfD3T6jqadKUW+ztuv33sxFqbexsRUnH8NQsfj9RaRq26r49snm/ymk+9fz34e0cN9QSKPigZAyOeiKsVm2h6dIOSCLrcuDYn5r3dplNODUNh9HrtBQBOauJqNfT6mRfvzmxsPMF0+lqXXAq1InL/8k2Zlkbbt9uuQ1+/Qi5PDXR9e4elqR5eQu3vEUiCe/rPR36olZ8DMpA986ZK3MtghF117PGDd0bZ6V1y1iOXJFy3eHE/vTGw2y0qC7fQNSuyNdt95pwIUpns77Li8BXa47foQcp23bEyf5PRnhWGV9cIoieq8mJuWTdrsJERZ/2L4UqMIs7SCNYCgV8kgBsnqPKLVeByINAXCfAM3343fGXgzPlno1i8gKvXaPdByb3GGjoGAkAACPQYARjV6zG00DBXEMCLDBo1QgTXb6zuKVMJb2O3z9yf5/VByVwRqiACCAABINA+AUj12ucCZ4EAgwD/mM0nX66UpZQk3LXZav6a/hQylx99UDKXexTkAQEg0LcJwARu3/Y/qAcCQAAIAAEgAAS4mgC8Qpmr3QvigAAQAAJAAAgAgb5NAFK9vu1/UA8EgAAQAAJAAAhwNQFI9bjavSAOCAABIAAEgAAQ6NsEINXr2/4H9UAACAABIAAEgABXE4BUj6vdC+KAABAAAkAACACBvk0AUr2+7X9QDwSAABAAAkAACHA1AUj1uNq9IA4IAAEgAASAABDo2wQg1evb/gf1QAAIAAEgAASAAFcTgN0yOMm9eAFhIT4CDjWZSq6trKxttnMDmxR1O0020YVhBkj+fQIYeNmk6Pc1tmqBTXRhmAGSu50ANAgEeosA7JbRW+S70K/An1cDrq0Wo9cs/W/OdJvg6sZW2KSoC6Kwq7CJLgwzsO3vQilGX2xS1AVR2FXYRBeGGdj2d6EUoy82KeqCKOwqbKILwwxs+6EUCHAwAUj1OMh5eOFhaqPk+WijepTa/Kior+WURuvZpKjbYbKJLgwzQPLvE8DAyyZFv6+xVQtsogvDDJDc7QSgQSDQawQg1es19NAxEAACQAAIAAEgAAR6mgA8ltHThKF9IAAEgAAQAAJAAAj0GgFI9XoNPXQMBIAAEAACQAAIAIGeJgCpXk8ThvaBABAAAkAACAABINBrBCDV6zX00DEQAAJAAAgAASAABHqaAKR6PU0Y2gcCQAAIAAEgAASAQK8RgFSv19BDx0AACAABIAAEgAAQ6GkCkOr1NGFoHwgAASAABIAAEAACvUYAUr1eQw8dAwEgAASAABAAAkCgpwlAqtfThKF9IAAEgAAQAAJAAAj0GoE+l+rhhAaqLdBSlSK0QY4TnXnkcWmMx6HRfG3K4AQQAAJAAAgAASAABDiRAEemeniZv92qUsKeLZclMpgLqrtGRb5bJtUJNbwjDRy9bHUG8bTxFl5AcZg8D7/SKGneNmVw4icBvNg4UyevrOSoqmT/8PP6GuKdoM7h/EBy73iZV36J+anAoLCqlKiq+NfB5zdOl2gKNpyg8jz7m4/z0aKU0CTPQ5tGCTWUEcTUVx189updOVqU+PaD8zYt6cYvdhhFCPMGWR+9OP5hf9unpPhdGi/QunOMIvRSnKDqxssok88mQxq+sGJIxihq3Ss7/s433CiW5v2mnxsr+tH2B/95tKWBIB3XYketYBMQ+E0CDbnSb7bSK9V5Z+wzm/PmgG8JpXu6J+ff3rI0blB9YlxF9zTIla0Q5DZcvHxcNc5pv1kQ8qfZIbOnFyrUNjzMIHOlWrookNxbXiaTiUJlry5a22VWi42Ys9fC+AHf1xHb/IqoCE54vONte71sN6M1z1MIQ1dZWp1348vQtHpdRuVVXHzSfEKOx7k1H7/zDZtntdfwnlDWaIOnOWQEowijQdZGNlFqzHwzEyPzGbIIUtqya4wixoW8w9eefmExvHktDMkYRayV3MXeCAJigkjmmc37PPNJtCYoPzLLqc3aaocGWtpRrS4aA9WAAHsT4NhUj1KbElyteXr76PfHY6paMMYP0Dn+/KiWigj6Vb4u55Ovo83Ja3FVaD4oNME2yWNRP9rFeu9i9OiVqr3156wJrpbTdU85NorRTIDR9PkvG7M9XL+l117cGvVEc5ZdaDW9nHfooedeZl8shm5+g37kECXH79hvZqLzxwAecmGi3/mjJ86FlXBx2sM/fKXlJOpLsz1WPkUUJOBjrUr82c1bhj21Sqhj0OO+/4LkXvMyOe/+Ubv7jJAKjCybNO/hsNFyPH5FdQj/4NnzpYs9djp7RtYgSEKi7ZgVXhqz5Hlel9XVfXHXmnqLVE//BhgQkTNk2qv5GkP4nub8QDCKMBpkaUjzDTF2MNNK9lxvJutwbnaLrjGKaNfhJabteWghdmnzYeXz59Qba2JIxihiqeSudoYXkhAmf4/4lBBb1raJ9mnQMGHVatsOnAEC3EGAcyffalMv2j0TXGOpr9gqXaWUxD61szTSWr5+7tazfuKLz101UadPg/yIdZo5f/WGp2VI6YsNS5aN10Z/VllEoRkcpcDXQk172cQN11JauZVaFvQwiiQ5dalKw3wIr+KsZQPr0ZMl6NCC0Fg7D5cjI1LPmGyavfaAc94E2xunDBTaLgPkjlhBVeD7q00ciCR6Rgob3grIv68v9elFDDJg5lgJ7tUMktnAywQhZY2Vpuo86a/efaF/p6grTPtGlZitPZq+fIBPefIYyYq4wJx6+p1GbcjzaAErqCAniGQn5jZ8E2FahNkgvVXWHLVJNjpzJptefZZZ03yEitY5RhGCEGXmOZ/RjD5obh9V0XKag6lkTFCsUfs7veAEJKUF6n7w95cS42k5b4tFA6vW71gDdYEAexPg2FE9ND8rCb1s9/nhoZ0Tbh9pMY5Wkxl4P5OBPSYWN0338oSpssSwLyRqTVFqWqV4ST1SX/IlLT0RHQ5oPEgVuckVCLH6O2PkrpnPKIVh3oGk44t1Bh+OSahBx/QWLlKpDrYKRqeN8fI65kby4Yaz7DwKaDtj1z4AACAASURBVH9dw5Op04Idt2jKut7Mps8ocN9BlFAQR6o+59UJjRsoLMynIFqbkFONjFMQ5UHyuHQsEyT3rpfxMotdUk6pod8laqP/nXc+ppJ+V5Fznhoemuxj5xI/yf9phtziGfVnthx9UdoqO+IduuLwuanfndc8Smt9Q7Yu6lyDrLijqdTWOV5Tr0yLCLKrTuyf8O7gpGf5JD55Jla2ltzsMowiJo31/mmimHhNTt2EK89eERByVvi9Q1ZOXl/o+TEWDea1el8RWAAEeo4A547qoUxIOXcdHtYsMF6r2PwhC0L/KRuueT75FhNRGff+04nJvAivEE/XdVIKQy4H1A5coD2SHx0+GLJmqULpK4936Jgewq8yVYXAO9ElKIKxNLgy3HEWEZFWlmj7yEfPObB3Wq6Ot1qkPXKefciP3um/F3oFyb0AHe2SUvjGWmP5Vr1Dt8KUtr2+ZTiO8aACQUBeSV44P+jqg0+FFDJZYJTuymkt/gygQ+4G594dHeW3d9vB8IoW2VO7RR022DvyO9Mrvr+mxYmxkZaOQYXM1i23K5nRNkZRZzrvtWvqU90Mh0/QEB0xdaTesTdSK6977J8lhg7vYdNgVqvXZEDHQIAlBDh4VI/GpyrG7cTnRwcNRkc30uJR0rvvajo46Opuw/cJpTjZabs890h1EmXj50HL6QBqmb/rm9KbOvojnVOIumvkCu7cjC6ntYjD4XFIsc/6jdfjapt6oNaX5jQbLuxkz5xyGak4qxQRkpEVxJMK89CRU7x0fzkBpCSrnDFzxikyfsVOkNzLXiZXZsdGoz8f3qaLxN9aYzrGzSDsh7D6LrfNAud0djmk1CE33U967gu/aeXwNEDPj74yHy8yeedFH2PJ+yZrjX3zWiwjZVLUQYO/EjGsvhYnNtNAs58o4hYc4dbUt/H9gulH/1j54Bs62M5EMu1ajCJWy+hqf+QfmRGP9uwfreM5X3+Ug18oXwc0GP20qtWHvrN2lTPU42wCHJ7qIejC7TM+Vu76Mwi4eLon+JWnqOKzzjq4eCbR/sKni+TWIM1TPWrtjzpEoJ9we4vLqHVVaJYmIilIQMqbTUdSyyNuuWbrbNo0N4Z/vmTipcvxjFyuOjUojaqtNoGY9zDuB9NJF86Oj1bWUwo+hX9DVuqqi3v5FqNT2FLq81SRXOfoYi6dvUXlg2S28TIZndrEEWh3LkFCZZhEfXZsASOLo5TEhSSQVyjKo7d1OQkhyC+0e2Qsfd9ovdHL7y1nbpkVYTfI3vcwtczXYul4gcaJC4HRdrdsx3qb/30lIpd2WzKTjF3E3pLbWEf71s04OqDRoubPWm0ahBNAgLsIcHqqhyCVUW4XUpYdH9Hgl9qMiGRk6nrj1Z/dIzKrcZJjZNB512ZHfXZ0arXhrCMmix0CC4kySiKfHtxObRiUo5SnheYiJlu2byn2KxCV44t84JFG/yypTb7qEmN82OY8Uv3c5Fl6w6cHJfvZuUuG10zcXfpd9PBJKKoXkB4qV+bt7v+t9cIg7omZmiSvk2F650842gi4hSDjTA9p4MKOXk3m2sdvUc+B5N7yMlF6mvlqxW9xX/N+IOKK49ebLJH67n0jDl1PSy2ICE7jMThls5p0I/wbVWamgYUmIcPxQyHtzhP4w3L/DJyf7Y1M8REjxOn3HrUq58sX9Osb8yKsBll6++L4pZWGSPIIDJLgQ3gklVT+qKosycjIrkanZpkWVWR/TWwyUkC8tB6pKfqWkl3RZRosVdy1zgRHGe+YUhGbmFFOFVOcoG/yt3TR45vxtNjAosG0VteMgFpAgFMI4MYJqnCKrU12oq9Qdk09mKnzP6sA2loxvNTcM/EXZyTsmzPrAbpYhVd53o4zZn/NUOmHPjRLra3ISQs4vOOQR3bjwBOP/IqDx06sGDuAFyEVx1+z2GERUNa4xAUvpbHdzV5/xgAeSmniNYvtu96VMopwolNc/C7pVd6cNv9cVLMJWoLEn9stjbbP/3OQELpWvDw10HWN0Y3Yn/O5HMe2Y4MJ4mrGtgcstVXEkIr459fNrN2CGiB1XJdDrwDJveJlXsW/Th3b8Nd4ZWl09Wt1ftT7x44OLk++1dFH0HkHaxudNV+mpYzeeJSS9FC3syeOPM9C7zwepXXBr3c1vDmpMeA+0v84EJgXoX83mDXI2qDlUzvwX6CBTLNOq+6tm7shFP1Lh1HU7HKBP68GXJvktlz9fNpv0GCt6F/vjSClccRh1+qJQ2hf5WsLo9//5+hw9b+M2tazKy1pdLbWr9sDNYAAexPgyFSPvZGCdUAACAABIAAEgAAQYBcCXX8ylV0UgB1AAAgAASAABIAAEAACTAhAqscEDJwGAkAACAABIAAEgADnE4BUj/N9CAqAABAAAkAACAABIMCEAKR6TMDAaSAABIAAEAACQAAIcD4BSPU434egAAgAASAABIAAEAACTAhAqscETGdOEyT/d9Ltxj9T0Nc9wAEEgAAQAAJAAAgAATYk0IdSPbyc7m3GZrXof5/PFfkFb+BEZx55XBrjcWg0+qq+nwdOUHHGlHEqIn0I4i9Ag0uBABAAAkAACACB3ifAkVkKXkrr+OfoCHreFpLy2Ml+2UjRjoVQCl7sVV+kO3XzjdRf5Y4XUBwmz8OvNEqa91ersu56HP+wv+1TUvwujWdsCN/QM99wo1gaqKafGyv60TcRIoiprzr47NW7crQo8e0H521a0m12i8MJqm68nJ8S9dlkSEOS25laLNPMRDKtfyZFeLFxpk5eWclRVcn+4ef1NcR/xg1TUAw5eKHhWgb/XLubHB1R/EBXsQ0qFolmoquh97b+wjIeJzxi6T+eL4ppAeAXesHgfxKNNNjEy50xo61kXvkl5qcCg8JoMR//Ovj8xumd0CU0wTarxW1Cu18yjo4VZJFfW3bDxMsdhCgt7NvcsOgr5pnHfAdh0yvaW3SKE1SeZ3/zMfonqColNMnz0KZRQo0x2qXoxYiN3hcLFgCBniPAmRuj8UooDRH8cmyz3XvqgD+19Pbb35k/YuvMEx+wd20glWXFlyHEij9pW2z80kHOv71ladyg+sS4il+qx6qLiVJj5puZGJnPkEWQ0ladEgTEBJHMM5v3eebT92uj/Mik7wjPq7j4pPmEHI9zaz5+5xs2z2qv4T2hrNEGT3N+bmfLO3zt6RcWw5s32IlarBGNIZl5EUFuw8XLx1XjnPabBSF/mh0ye3qhQm3Dwwy6ZGag0CKcwJDNpy7Zq2V53rm390Z6Rm5mfuP+KqxRS++Fua4GI9rxF4bxeMlZ/945pJ3utn3t6yyxiea2Jj5XSeP13FPqOxMbrNDdiWBrTzKZTBQqe3XR2i6zWmzEnL0Wxg/4vo7Y5ldExdJVnXDlr5UP+Rp2UsVLz9jltl32lT9t+w3WHlhexghRupHt0cCMeaa1WKuZWW844fGOt+31st2M1jxPIQxdZWl13o0vQ9PqdRm1i9HLPDaY2QDngQBXEODMVI+OviLl8+fAkujA936+X65FHLA2fbD8SCK6GSt+gM7x50e1VETQgZe6nE++jjYnr8VVYX004/otvfbi1qgnmrPsQtFNFNGDd+ih515mXyyGbn7Lt8I95VjDNksBRtPnv2SS7eHF/mdx9elG5MK6zYc+lGN11+2BwzfE2MFMK9lzvZmsw7nZrZrHC0kIk79HfEqILWtRUvfFXWvqLVI93dKAiJwh017N1xjC9zSnIRHGS0zb89BC7NLmw8rnz6k3Vu2oVrdrY9IghmTmRfzDV1pOor4022PlU0RBAj7WqsSf3bxl2FOrBNoevsxAITihSbvP2UrdmaXl9vlH642XmNjXA6eZ66J31r6/mBuPk5yyerHI1yN7Lnh+Qb8DxMbVjUy6unbLCC/LmFo28XJHZjCRTM67f9TuPsMDgZFlk+Y9HDZajsevqA7BaJBSlRUZmcWoRJCe4752dMHtLbvfFP384tMDLm2nSUwvMw1R5gGAHfNMw6Ydy3rhFP/g2fOliz12OntGoptRJiTajlnhpTFLnud1WX0Xo5d5bPSCPOgSCLCOQMfznqyzpas91aV6u74jDVw+X5E+yUgpiX1qZ2mktXz93K1n/cQXn7tqot5iSrNNP9SyoIdRJMmpS1UaZil5FWctG1iPniyhUgp8LdS0l03ccC2lTb2fJwiSc/e7PNEnOW3Ywuo8DzWiNslGZ85k06vPMmvaZCI4AUlpgbof/P2lxHgahiwazaY25Hno73hBBTlBJDsxl5bz0A6izDznM5rRB83toypapq1YtRpb7vl/MSQzLcL3V5s4EEn0jBQ2vBWQf19f6tOLGGTAzLES9MlYpqDwktMOrlLAiS26H/ShKjEo0ctmq6pwL9w3THVh+Yu58Th+UXQurDKvkuFeakVyWCrSX32IMD1K2MPLmGYwD9HG8CMIKWusNFXnSX/17ktDYHdCF05Yw2TvYsoLM6fIsja3U49HNpaXmYYoahUTGtgxz6xWj6vsZAd1hWnfqBKztUfT11nwKU8eI1kRF5hTT1uf8ZvR205sdNIouAwIcCKBXvjI6n5M1B85sQWIzFApdFd09KjJDLz/OiwkOibo7V3LE0F10hOmymKPXlIKw7wDSTKLdQaje2fTxvQWLlKpDr4SXIJ+DJIqcpNT05O+fmeM97W1Hiegsun83QdL8g+u2HI4tIyl43mN1lCpzD6UiGLiNTl1E648e5UT/yHp9t6VyvytMj6a3hWHz0397mz3KI0+x4sQZFed2D/h3WGTZ4xJ37ai6ZRa1Wr3qh47yVwywqSIKKEgjlTl59UJKQ0UFlZQEK0tyKlGJBRE6WHDFJTgMM2JvBVhL25s018zda3dPer8s+62i6V64c5hogvLX8yNp3z/FJaB/GG2cbICOm1JEFJQHiCMIDz8xJbCetnLjeHTxowOQhQvs/h6eWJg7E3jyamXN56PqWwdh20abLyAKK9jpyv5+V/nV7S7vxcOpl5mHqLMb1jMmO+AYS9ob9UlOeep4aHXvBtc4r3PXrng5re9/sz2oy9K0b91vxO9HcZG7wsHC4BAdxPAToG6u7cebO9n/kLoP2XdCbNlc0fJ9cNXfa8U5EVyhXg6+GCmFIZcDqj1WKA90ikhijpkzVKF0ldH35Uwy59a6Jh2/Po0noSD2rsupjWOifWgzl9tuj7VzXC4G5oNCCqOm7fvuPV1D8Hv82z8msYrcEJjN5z0PTDMb++Gg+EVdMH4/poWJ8ZGms4PKmT2YddOrV81rPeur463WqR9CVeUSRpv/NMKZqBwQjKywsg3bw9fvzwUR1L8QcW/fA23qIt6+9I+c9jgwPAXHsP4moSr6+wH3d57MWkzXQQty69/kVf1c8qSTbzcjhkYkhkOoRS+sdZYLqc8avqOXdte38LNWPXvp6bvau002ORG3pF669XrAtc++oaOHbHZwTREO75h24n5DhmygXqCgLySvHB+0JUHn3j+lCELjNJdOe1GpM/XeuQ3ohczNthANJgABHqAQAcpUA/02ANN4gTl/pBG8lOL0L/OPEp6911N51X5Whjqa6wwMrwW06n8i1rm7/qmdICO/kgB4TG6a+QK7tyMLm9mauOHepsRMQRJ8X74oXbkkTM7ZvZjY5rkH5kRj/bsf/hdUlN/VON8Nl5ksrGz3wGlJyZrNz5sXIGOE5tpoNlPdIZbMP0Z58/XVoshQ4zvF9xfNpDx2Gm7tXrArd3dJKk4qxRBcx9BPKk8L7OsHi/YX04AKckqb/Gh3hoUlVSHJkFCssINz9zWF34tQPCS/Rt/724rf7k9LH9hGk+tirhmNmLU9KGaf43SmDXhLPpgeuqLlMaEiE283K4ZWJIb+JErs2OjPzzxOL1i539lo9eYjml8lLbdBpug8w/VXypf4efxBl3MybZHqxDFosE85rFqsYtyYfVdbpsFzhnsOnzz5gHTtaP17xEXWTn8T5T2V/g3opdpbLCLbrADCHQ7AW4Y1eMZvEh/BjHr7PMM9HE5EeUpqvissw4unkm0HC9dJLcGkWqOjVJfi360C4ry45Hmq9Co5RG3XLN1Nm2aG8M/XzLx0uV4dCHwz4NaV4X+LiIpSEDKW63UznvntPTqp0vutk/v8i5Zdep1Mft+SODwzVNVgvxCu0fG0veN1hu9/M6YuaUJppb5WiwdL9CYtgqMtrtlO9bb/O8rEbk05UxqNYfFpv9PKfgU/g1Zqasu7uWLOgkvpT5PFcl1ji5uu/S+GShq1dfYLGSNlpqkY2oeeiX/QFVFpDryS+lPYr2rF8tfVGKHxpMqcjIrBYas8NqpUvHS4hHdx2zjZSbBhiW5jTPI6OIGHKEhUWfSYGMl/sFzFvav8X8U0/xrXpsW2eLEzxDFokEhMot5KgnzNmcHjQQJlWES9dmxBYxv65SSuJAE8gpFefRbVnnD3feb0dsiNthBMtgABHqIAAeneiJDVf+YVCelOnOl9SbVDHfDc/TcrjYjIhmZut549Wf3iMxqnOQYGfryu58HpeJLdBGyYcPGdaWhFeKyxMhHXun0PyW1yVddYowP25xHqp+bPEtv+UlOKU8LzUVMtmzfUuxXICrHF/nA4+d0LbX665OtunXIA/sH18u11l7+UMnimT0cv7TSEEkegUESfAiPpJLKH1WVJRkZ2dUURHCU8Y4pFbGJGeVUMcUJ+iZ/Sxc9vhlPH7kR+MNy/wycn+2NTPERI8TpgKhVOV++lJMrsr8mNgETEC9Fp0uKvqVkV9CQMK/VVIMl/8NcMrpkmwmNmiSvk2F650842gi4hSDjTA9p4MKOXk2me585qJrkh86xa49ZHdlbdul5qeI6m9UK2Xf1P7ZZ/dXjspnqwvAXCcN4HL/8sKFDFJQnTJu/Zc0U+ST3JdZvCxjfU9jEy8zNwJBMlJ5mvlrxW9zXvB+IuOL49SZLpL5734jrIObp3iPITJg8EEk5Fl/V485k2gFTLzMPUSoGDRLzmMeoxdQ6lhaQCyKC03gMTtmsJt0I/0aVmWlgoUnIcPxQSPtD1KXoxYoNlkqDzoAAiwlwZqpXV5yZXj3v4DW3g0htbmLY3QNrTjyIZ7xUr+7Lbb2dYmfM1l+/ZYo+T0utrciJD0httgAJqY49fvDOKDu9S8565JKE6xYv7qfX0T/gyBmPne+ZXdKr9Dr6ts38TW3S6X0uY+31T//zF6U08ZqFr2fLlXn1uS92GMipPDa5b5Mw3vId01VuPeJf3pFb/g00kGG0vdDBbSFSdW/d3A2hPwiC4jIjtc31d9IS3trC6PfX1jhcfUtfqMfTf4yGFCIy+9Cb2T9t+rhvzqwHWLZ3rVYPiGYqGX1ehBkNhJTtunObiO0BSwen3UhF/HOnRdaPGl6qxxwUUv/1n607BI5YGP3jehBX9y30zjrDC6G//G7G32fAXBdG2xjG86nscnHbJlmWFvfx8ZGt5+99yG5c68AmXu6aGXgBiYETlhsZKkujj9tU50e9v7rKwcW/UzHPpzhGDil+ldLqoXMMvN1fxNTLGPcylhXMYx6rFnuU1ST8u8SEcNZ8x8MHe2ivVkgPdTI+YU97oxb6PG5XohcjNthDMVgBBHqIAG6coEoPNQ3NAgEgAASAABAAAkAACPQuATZ+kKB3wUDvQAAIAAEgAASAABDgfAKQ6nG+D0EBEAACQAAIAAEgAASYEIBUjwkYOA0EgAAQAAJAAAgAAc4nAKke5/sQFAABIAAEgAAQAAJAgAkBSPWYgIHTQAAIAAEgAASAABDgfAKQ6nG+D0EBEAACQAAIAAEgAASYEIBUjwkYOA0EgAAQAAJAAAgAAc4nwLmpHo53kKah+8OXReg+rQn+n29ZGY4V5Vw1HBRJeLFxpk5eWclRVcn+4ef1NcS5nzpI7gte5qB7EEwFAkAACPwKAU79mOZRWeUU/u+2P/P+221ktMzc6VY6f38imX13n/0Vn7D1tQS5DRcvH59Z6bbfTHf/f2UzzJ5eWKLUsMEoWxvedeNAcl/wctfjA2oCASAABNicAGfulkGQ1nn09ti456Z/Wr5vtY0X34idkU/0PtC3BUPZi2pdzXUW36+56nwmunEivt94vUOb580eN0RJSgjdNgkp/3RQd+u5tHq0SPSPFScPb/h7nKwgugVPdVHcf4e0DwWX0Dez5R0wfe9h022ag8WpZfFvPK1tXZ7nolXQA6NBNnd8F83jH2X+6b+VCWYLlvmge8fhZRZeiD+r7PzXEquExk21utgw+1YDyX3By+wbf2AZEAACQOB3CXDkHrh4qanLZ/NlHr8cgrVdaztoCDJTVm7VQm4eP3YgpbCczCMuQUzMoSdtAqrHXPYt++pqYuCfXIEXG6CkTM6ooud5OLGJJ72cNpNfWpufjccNX2ex84GXxIKFx+m7ajJvsJ3eueAUvr/axIFIok2ksOEtbxv+67PNXsQgR2aOlSAk5JG5QF87EkByX/ByO46HU0AACAABbiHAkakeccDwAbiahDBGlvarrqhOve/l61fVshqPuIIoUpIS8SYkOh/NWaKjGovxCjrGm2W/HtWxPpOCDlwFvk3mGf3U8LD2tYC7jclNuw3+qlWccT1RQkEcqfqcVyc0bqCwMJ+CaG1CTjUyTkGUB+HWVA8k9wUvc8btB1YCASAABLpEgDPX6lEoFIRKH3PrrqM8dJ/tG4rehfTgO3cOrNZREW5cfiYwZMpg5PuHN1kNE5S1mUFvvyMjJykKdFfXnNhOdbzVIu2R8+xDaJPkfeMAyX3Dz6ASCAABIMB1BDgy1SMVpBUiAsrj+rc3JklF00A8LwH3i66qTbproTp59ZrLUfgp2+75vn5rOUmy6WkDXIvWfrXpX7SEnS8nFWeVIkIysoJ4UnleZlk9XrC/nABSklXOWLrIzqZ31TaQ3Be83NXogHpAAAgAAQ4gwJGpHqUw/NlHqvKOTeP7tbGfVJZXgggMUenXXhrYgUPqihK8r5/U+2uuukP6+C37DBTRNqrTQtIRKXXNgbyMynyKU2dKIwlhmdUdNMaVxZSCT+HfkBG66ow3rOCl1OepIrlvo4u5dKEe6kSQ3Be8zJV3K4gCAkAACDAIdCEhYgN0pOwnuy79/c7okr+Yy5kn0Vn1IoPH/SkX7mwXVEouDL/7mXrS/PDhCne/PJL0BGkE6cSQk7Ca9YFZpSFhUZmltfyyU9X6I+TM/Gr05S2UrGcXru24bHXlKOm0Tzxh2NpdhkPz7i/wpa3o64NHTZLXyTC98yccbQTcQpBxpoc0cGFHryZz7eO3qItBcl/wch+8l0EyEAACfYYAZ6Z6CPVHxPlNU7OMjm5deWH+VgJC+p4YcCOaFx3jo5CyXHaaDzhusdXBaRfqxrqy9IgXKT86eOMegY8fLzV5t/06adrgXV1BUuhpY3uvPFotalm4ha5Zka3Z7jPnRJDKZH+XFYev0B+/7ZMHKdt15zYR2wOWDk67kYr4506LrB9lcHfaC5L7gpf75N0MooEAEOgbBDjzvXp9wzegEggAASAABIAAEAACv0mgzVq332wPqgMBIAAEgAAQAAJAAAiwDQFI9djGFWAIEAACQAAIAAEgAAS6mwCket1NFNoDAkAACAABIAAEgADbEIBUj21cAYYAASAABIAAEAACQKC7CUCq191EoT0gAASAABAAAkAACLANgb6U6uFFVbdZHbRQ7dNbmrFN5IEhQAAIAAEgAASAAAsI9KlUT2zMRv3lWgM49F2CLIgG6AIIAAEgAASAABDgMgKcnOoRZJe8SoqqSvEyHQTZG+viEi82ztTJKys5qirZP/y8vgZjjzTW9d8LPYHkvuDlXggs6BIIAAEgwAoCHJzqEZUXrFYvCnlfMnTzUmU+VsCCPhCEILfh4uXjMyvd9pvp7v+vbIbZ0wtLlAhcTQYk9wUvc3UIgzggAAT6NgHOTfV4lVevVk65ccbS9avysqV/8Df5ES/6x8rL93y/p6ADflEVn1+H2mn0w/308rRjT4poRcGxN83/kuOhF/CNMfo3Pho9GZZ09/i/1x8XpER8e7h3Yf+GFIYoOd7klHtqPHrBx4wnjrsn9aMXdFCLKwOLf/hKy0nUlwf2WD145/PAae3BYOrkzVuG0baT49YDJPcFL3Nr9IIuIAAEgACCcGyqxz9ER29AyjXfL4nPvBOktVYNaxzXE1A95rJvGfm5qcGGGcs3LrH8x+V9RlWzHWuz3vy7ZYvR8r13MlTX37mwfDBt7pcoM1ZNKffq33rWL+W11w14vXG93Ws5vQs7RwsiCE5orJ2Hy5ERqWdMNs1ee8A5b4LtjVMGCmiyh1WLS2ML319t4kAk0TNS2PBWQP59falPL2KQATPHSnDvuB5I7gte5tL7FWQBASAABGgEODXV4x2xeP6AJG/fXHJ91jvPL1JLFg9teLCWR1xBFClJiXgTEv0xOurNc2+XV9l1zZz91c/noX+w70NnI6cU3BidaRINCKglyeERQf/F1lLLkkJCX7l9rJYeMVAYh5fTMTeSD9+x0e7S68iwsJcOlife4v7coinLWB7IpBa3BhdRQkEcqcrPqxNSGigsrKAgWluQU41IKIgyRke5UTZI7gte5sbIBU1AAAgAgQYCHJrq8Q3WnS8Zez8gm4wgpOynTzNl58wdwRjXKw/dZ/uGonchPfjOnQOrdVSEmQw4kQvTs6sRUQWxFuUUChXB4XEIlUKiIHg8DsevMlWFwDvRJSgCnQ5GfyrDHWcREWlliebJTZta3B5f1fFWi7RHzrMP+cHtSpv0geQ+42oQCgSAABDgLgKc+egqn9LsRfI8g22eldk0uWPWwkH/RCWh43e1SXctVF+N1Fm8UG/ptnsGJhFXTZeeDitCk8JWB7mejOAJuGbr+BA0xSOTKJRmF+JoiV+xz/qN1+Nqm05T60tzapCf7NrUat0Vt/xOKs4qRYRkZAXxpMK8THRQWLq/nABSklVezy0K2+gAK6uoEAAAIABJREFUyX3By23cDieAABAAAtxDgCNH9XgUZ88ZlOul+9ey8dr0n6UHHpQpLJ3Z8JAF6p26ogTv6yf1/pqr7pA+fss+A8VOprRVb42nia96UfhzbV91alAaVUJtAjEvKTU9seHnS1phbbPlf21rcU+AtFRCKfgU/g0ZoavOeMMKXkp9niqS+za6uG0izS0IQHJf8DK3RCvoAAJAAAi0Q6CTKVA7NXvvFEFaU3vQjyj7dwnplQwrcMXeceRl2pPkXL5mCKhZH5hVGhIWlVlayy87Va0/Qs7Mr24+UPdLllOyn527ZHjNxN2l30UPn4SiegHpoXJl3u7+30i/1A6XXFyT5HUyTO/8CUcbAbcQZJzpIQ1c2NGryc0XQ3KJ0iYZILkveJnbohb0AAEgAAR+EuDAVA8vofb3CCTBPf3nOjFq5eeADGTPvKkS97Io/Hipybvt10nTXgBSV5AUetrY3iuvy6keQq2I3L98U6al0fbttuuEEIRcnhro+vZOH0310JWRrju3idgesHRw2o1UxD93WmT9KIN7x/RodwpI7gtehk8FIAAEgADXEsCNE1ThWnEgDAgAASAABIAAEAACfZsAR67V69suA/VAAAgAASAABIAAEOgsAUj1OksKrgMCQAAIAAEgAASAAMcRgFSP41wGBgMBIAAEgAAQAAJAoLMEINXrLCm4DggAASAABIAAEAACHEcAUj2OcxkYDASAABAAAkAACACBzhJg41QPL6q6zeqghWrD3radVdQd1/ENWmBzyFBLio3pdIdMaAMIAAEgAASAABDgdgJskczghAaqLdBSlWq5Wy1ebMxG/eVaA3rh1X98Kkv2rNMaJcgWdLg9BEEfEAACQAAIAAEg0HMEWJTM4ASU5h6/7p2XElWVEvDpmvmyQXzNtp7lHWng6GWrM4in53RCy20I8MovMT8VGBRWhTol/nXw+Y3TJX5GA15snKmTV1ZyVFWyf/h5fQ3GRmi0NnCCyvPsbz7Op7kyNMnz0KZRQiwKojYKeuQETlB142VU3WeTIXytOsAo6hFTuqPRLnq5sWtOlNwd2KANIAAEgAAXEWDJpzReYvpFL4ftkmEHNm+aZ/hPkOxaN6/DOs0SCy4CyjlSyGSiUNmri9Z/G5gYnAnmm2v84MRMSUYCTpDbcPHy8ZmVbvvNdPf/VzbD7OmFJUr0MVec8HjH2/abBd+arFn9v/XHH/MuPO92YLZYs7ydcwC0Zynv8LWnX1gM/8Wi9i5nk3Nd8nKj7Rg02EQemAEEgAAQAAIdEmBFqkcc/LfRSvFoix2O199FBvp5mho6fhTXtvl7IDqKJzTBNisl9N06KURa710MOlCE/gTf1kA3IGs4ph17UkQ/GXvT/C+5n+N+RMnxJqfcU+PRoo8ZTxx3T+rXOP2L7zd+9Vnnm9EhgaW0ilFVETfMhnQ4YIgTHrr4/N0XJej1Ca9emY1sTq79vnD9ll4Prwq1nty0mJB36CG/qOJrmg0JU4fwe/cCct79o3ZH7rx8ERjg5eJwIKBOcNhoBmD+4SstJ1FfHthj9eCdzwOntQeDqZM3bxlG22mOf/Ds+dLFHiecPcMTIkMeH7Z9/F1MbZZ8h3h7V2one8dLTNvz0ELs0ubDT8taVcEo6mTjvXRZl7xMt5VjJfcSaegWCAABIMCuBFiQ6uHFxmsORZKfv85r2CqVlBt4NwkZpfUHOq73I9Zp5vzVG9CP1tIXG5YsG6+N/qyyiKpu4pX15t8tW4yW772Tobr+zoXlg+kr93BCY+08XI6MSD1jsmn22gPOeRNsb5wyUGAkewSZKSu3aokHXTm2xmDr/PVGeodu+OTUYzuAIDX7Xw8bA4kPNmYmK/e7hfz4yYVpX9SyoIdRJMmpS1UaJvp4FWctG1iPniyhYvfGZqUEIWWNlabqPOmv3n2pQ23D91ebOBBJ9IwUNrwVkH9fX+rTixhkwMyxEijfusK0b1SJ2dqj6TO6fMqTx0hWxAV2hJfNBLdvDlFmnvMZzeiD5vZRFa22TMYoar8tNjz7K15GzecGyWzoBTAJCAABINALBFjwzANBTFkSqc/MKm7I9BCEXJqeV48MUkBzh/yaotS0SvGSeqS+5EtaemJNawZf/Xwe+lcgSFiCyPQ4K51pEp7pBYicjrmRfLjhLDuPAtqHcngydVqw4xZNWdeb2SRGA9Wp9718/apat8bkd4KizpalYikHlts4fUUbCHhfOX2Lszj9YjxGX4Vh3oGk44t1Bh+OSahBeIcuXKRSHWwVXNIqUWDSKTucxsssdkk5pYbmcLXR/847H1NJM4oooSCOVH3OqxMaN1BYmE9BtDYhpxoZpyDKg+TV5Dw1PDTZx84lfpL/0wy5xTPqz2w5+qKUs3Lb9sgTZFed2D/h3cFJz/JJfPItrsAoaq8l9jv3y14mc7xk9nMCWAQEgAAQ6DUCLEj1ukcbuTA9uxoZrCBGQAp4VKaqEHiFXIIiXJo1nq8swYM0pnq/1in/oImKyPcnwXkNiWKz2vwYfVUXhlwOqPVYoD3SKSGKOmTNUoXSV0ffcdKYHqXwjbXGcjnlUdN37Nr2+hZuxqp/PzWNqFbHWy3SvoQryiSNN24iQhCQV5IXzg+68uATz58yZIFRuiun3Yj0+drBsOmv+YPlV+P7a1qcGBtpOj+osHWejlHEcjO72OGvepkLJHeRFFQDAkAACHAjARakeuSyr8UIjwxtDK+CMbBHEBssy4MUNRvn6wxacj0ZwRNw6BMAOBwehxT7rN94Pa62qSa1vjSnzZhgZ9qlXUOlUBEcHm21zYHZF7XM3/VN6U0d/ZHOKUTdNXIFd25Gl7dpgp1PkCuzY6PRnw9v00Xib60xHeNmEFZTnFWKCMnICuJJhXmZ6MCmdH85AaQkqxxN54TVd7ltFjins8shpQ656X7Sc1/4TSuHpwF6fuUcPLKHE5tpoNlPFHELjnBr8pbx/YLpR/9Y6TeFadGDb00D1ezsY3QY/Ze8jEWDYySzt0PAOiAABIAAKwmwINWjlEW8TkX2zNeUvXc9m/bZSBzwP73hSMKp2OKGERRq7Y86RKCfcMv36jHHUJ0alEbVVptAzHsY96M7MozqtOA0RHuyzmC+sGbJI90A7L6o5RG3XLN1Nm2aG8M/XzLx0uX4LmebzOWypoRMRbNdAs0FlIJP4d+Qlbrq4l6+qIvwUurzVJFc52h0Bp4goTJMoj47toC2pg+9siQuJIG8QlEedV152xFR1hjeDb1Qy3wtlo4XaFygKTDa7pbtWG/zv69E5JKrmBd1Q8+sbqIzXqaSuEoyqxFDf0AACAABdiPAglQPIaU9uuhlePb0RQvKmRfJ+GFr9lhOKH+h9+Bb46RffXZ0arXhrCMmix0CC4kySiKfHtxO/Tle14YZJfvZuUuG10zcXfpd9PBJKKoXkB4qV+bt7v+ti+kGJevZPy47Llu4niee9vTPqpVQ748+gUDvt6O+apOvusQYH7Y5j1Q/N3mW3kUD2kjs+RNE6WnmqxW/xX3N+4GIK45fb7JE6rv3jTja9G1NktfJML3zJxxtBNxCkHGmhzRwYUevJtOAFEQEp/EYnLJZTboR/o0qM9PAQpOQ4fihkHN0t0uWUpH9NbGpREC8tB6pKfqWkl2B6sIoarcttjrZNS9ztGS24g/GAAEgAATYgAArUj2EUvTOSPfAd5sdDtf0hJEf6cF3DXZeeFrUtCqKWuzvuP32sRNrbe5tREjF8dcsfDywUj2EWhG5f/mmTEuj7dtt16EvZiGXpwa6vr3T5VQPoZaH71lhlGttss3mtBk6skUq+/LRN7mKZmFHfZEzHjvfM7ukV+l19O1PSWzg2g5MwAtIDJyw3MhQWRp9U0p1ftT7q6scXPzL6IOkpGzXndtEbA9YOjjtRirinzstsn6UQZ+srEn4d4kJ4az5jocP9tBG9dJDnYxP2Ccy0uIOeoRi1hPompdZbyf0CASAABAAAj1GADdOUKXHGoeGgQAQAAJAAAgAASAABHqTAAveq9eb8qBvIAAEgAAQAAJAAAj0ZQKQ6vVl74N2IAAEgAAQAAJAgMsJQKrH5Q4GeUAACAABIAAEgEBfJgCpXl/2PmgHAkAACAABIAAEuJwApHpc7mCQBwSAABAAAkAACPRlApDq9WXvg3YgAASAABAAAkCAywlAqsflDgZ5QAAIAAEgAASAQF8mAKked3ufIKa+6uCzV+/KU6KqEt9+cN6mJd24/RzzIqEJtlno9S1/Mo6OFWzOCieouvFyfkrUZ5MhfGzFkLkuBKOoSUJ7uvBi40ydvLKSo6qS/cPP62uIs+Vtg+Mf9rd9SorfpfECPx2CJRknqDzP/uZj1IlVKaFJnoc2jRJqFIZRxFbOBmOAABAAAkCgQwIs2S2jQyvggh4iwKu4+KT5hByPc2s+fucbNs9qr+E9oazRBk9zyAhGUXXClb9WPuTDMYzCS8/Y5bZd9hW6YdxPK3mHrz39wmJ4D5n9O81i6MIoauyxPV0EuQ0XLx9XjXPabxaE/Gl2yOzphQq1DQ8Z24f8jqndV5coNWa+mYmR+QxZBClt3iyGZJzweMfb9nrZbkZrnqcQhq6ytDrvxpehafW6jIpR1H02Q0tAAAgAASDAGgJsnerhRf9YcfLwhr/HyaLjSZTqorj/DmkfCi6h793FO2D63sOm2zQHi1PL4t94Wtu6PM9t3FO3fXR8Y4yc7m6dpCRYlxXx5u2PP/7+n3xtjNf2baeeFhCZF6HbgeEH6Bx/flRLRQQdD6vL+eTraHPyWhxt0zS85FT783t0xyhJ86ObiRV9eulhffSm33c22g+27ou71tRbpHr6HnQBETlDpr2arzGE72nODwSjiFKVFRmZxaBIkJ7jvnZ0we0tu98U0bdGQw+8xLQ9Dy3ELm0+rHz+nHrDSXb5B0MXRhGGLv7hKy0nUV+a7bHyQTe+C/hYqxJ/dvOWYU+tEthmOzi+IcYOZlrJnuvNZB3OzW7uCQzJ/INnz5cu9tjp7BlZgyAJibZjVnhpzJLneV1Wh1HELm4GO4AAEAACQKCzBNhyJqrBeAHVYy77lpGfmxpsmLF84xLLf1zeZ1TR8zyc2MSTXk77RqSeNjdetts9edTWB16WM8UahqGYaCfKjFVTyr36t571S3ntdQNeb1xv91pO78LO0YIIRhHaGKUk9qmdpZHW8vVzt571E1987qqJOn2KDC84aOZEpbI7Bxbrb9c9/Lh48s4n93b/TxTbDCbW9dRpakOeRzdXQU4QyU7MbUhRMIoarcEJa5jsXUx5YeYUydgdFy0gysxzPqMZfdDcPqqiaRvjnjK/K+1i6MIoYqYL319t4kAk0TNS2PBWQP59falPL2KQATPHSjROhHfFxG6uU5tkozNnsunVZ5k19Puj+cFUcl1h2jeqxGzt0fTpaD7lyWMkK+ICc2jflzCKWjcPvwMBIAAEgAC7E2DnUT0ecQVRpCQl4k1IdD46oBQd1QgTr6BjvFn261Ed6zMpaNoS+DaZZ/RTw8Pa1wLu5jWOPLUPnlqSHB4RQo6tNeiXFBIaWPXRcsWIgcK4NPRqJkWff1CRmszA+5mMBmNicdN0L0+YKksM+9IwepcbEfg6uAJBQv3iqB+8DWzmuc69R7OXzQ7eoSsOn5v63XnNo7TWw45Mi4jyOna6kp9POr8qaUzqCLKrTuyf8O7gpGf5JD55NtPYyhymutBB4dY0mOoiSiiII1Wf8+qExg0UFuZTEK1NyKlGximI8iAdBBsr4VCpbXK81t23lkzOeWp4aLKPnUv8JP+nGXKLZ9Sf2XL0RSmtHYyi1q3C70AACAABIMDuBNh5VK88dJ/tG4rehfTgO3cOrNZREW4cRxEYMmUw8v3Dm6yG4anazKC335GRkxSbLUfHAk+hUBEcHodQKSQKgsfjmg3DtVdE6D9lwzXPJ99iIirj3n86MZkX4RXiaQdcdbr/6++40RqdNQPLxO4twwmNNTj37ugov73bDoZXtEgKMIoQ3pF669XrAh0ffWucGsf317Q4MTbS0jGokC0H9H5iw9DVTlEndFXHWy3SHjnPPuRH9/qGJa21IxlBCALySvLC+UFXH3wqpJDJAqN0V05T5KHbg1HEEnuhEyAABIAAEOg+Au1kLN3X+O+2VJt010J18uo1l6PwU7bd83391nKSZNO0WfMEDZ3S/ZW+qBQyidJ+qtK2iEdJ776r6bwqXwtDfY0VRobXYpgu0aIiaKO4lob9il09cy1eZLKxs98BpScmazc+bP5oBTqly7wItYV/qP5S+Qo/jzfoEjXGgRObaaDZT3SGW3AE7fncz9dWiyFDjO8X3F82kI2mMzF1tSsZSxepOKsUEZKRFcSTyvMyy+rxgv3lBJCSrHLslaE948sutdquZAQRVt/ltlngnMGuwzdvHjBdO1r/HnGRlQN9/QFGUZcsgEpAAAgAASDQiwTYZAKXIDl9zZq5+NAL7uGt5j7rihK8ryd437gwatP1D3v3GdxbcepLdVpIOqKtrjmQNzyZlnfxKU6dKY0khGVWd4pk1VvjaeK0K1u8PIRetZ0ifuUpqvissw4unkm0vtJFcmsQqXb74RkwYbo0kvIxC13lzjYHQX6h3SNj6ftG641etnpgBKOIZj7/4DkL+9f4P4opbxJDLfO1WDpeoPH7gcBou1u2Y73N/74SkctGM9YYupgUYemiED+Ff0NW6qqLe/kWo4PAUurzVJFc5+hiNlKMFW1MJCMECZVhEvXZsQWMby6UkriQBPIKRXl07LyKeVF568l/rK6hDAgAASAABNiBAHukeoJjtrlZL5dGloh/1tlJex6QfgirWR+YVRoSFpVZWssvO1WtP0LOzK9GR5goWc8uXNtx2erKUdJpn3jCsLW7DIfm3V/g2yMr5GozIpKRqeuNV392j8isxkmOkUEft21+jN9sbCIYkkpSXG5qMrL89erneWz0cSjwh+X+GTg/2xuZ4iNG0PNbhFqV8+VLORnBKKJdRvg/e+cB1kTWheGZhAABBKRLFUXFgsoPWLCsHXR17YoNxIZKV8SuLLgKWNG1LdiwUnXtBVFXpCkiSq/SeyfUlH8SEClJBMSQhDMPz67Mbed7z53kcO7MXHndcSpI0l+xpBZiqZXZX+ObfydKljUgtcWZSdmVvC6ZjS5ygvfRMKPTR1wdiJ4hyGjrA/po2CF3xt8YXHOgwrJqA6UJxP5SQghBWk1jBKmqND09G7tYWHu5ICI4hWB6zGEl+Up4Jk1+iqnddHy66/siMkJhXcQ1isEQIAAEgAAQ6CgB7gj16rKCn2ctNEKDX2R+/wbFCwnjZMZtd14jK4ipqS9ICD1u6eydR19MpJWH2y2zKXa02X7iVB+kKvG1x9KD/7xufka0o+I7VK8+7aaRhcQJG+PLN6yxdwXT6ipzYt8mk77ndKii2jbOS+Xx5NxI/60Wx+9z011sBLmR+jJIn2kHXrZ4BceHXTOn+hXhWRcx1muFVEcqIiUvkrjzKVvWrvsJySw6JWdftdjcx3GPvYvbdqQy9qnbvP13uemlepjZgkM3XggylW8UMNfFcy5C8lkza21oNRsatXEXFljhT9pu9ffbQX/MPDXUzfKIczz9AmRTxIIRnAYCQAAIAAGuJYCOFtHgWuO43TABlVXBgXYl5pMNn2NP4MIBBIAAEAACQAAIAAFuI8DVj2VwGyywBwgAASAABIAAEAACvEUAQj3e8hdYCwSAABAAAkAACACBThCABdxOwIKqQAAIAAEgAASAABDgLQKQ1eMtf4G1QAAIAAEgAASAABDoBAEI9ToBC6oCASAABIAAEAACQIC3CECox1v+AmuBABAAAkAACAABINAJAtwT6olo/fUorPTZDn2xTm1y1gmtUBUIAAEgAASAABAAAr2MANeEeqiw3PD+goKqGspECPW4ehLiJEZbu3lnJUaSEl+HnzbRl+SaOfTLsIHk3uDlXzZ9oGMgAASAQM8S4JqvaVrJq9UGqyYbbPMtZGzWAAd3EsArrj178fCUKs/dNst2/1v+m83DMwvU8NxpazdZBZJ7g5e7abJAN0AACAAB7iPQ86EeKjPvKikpkpQUkf/q5n8v/3swTewbJly/Oc5RHz8wSsOSfBw2Dhf9Zi+ur87Kk+evRYUEldFLI0kRV2wGEtjyFRppfiE2it5Vwp3DFy7fL0iKyPTfOVcOi1PYFGFdsjQDJz3B9ea9r18YBsQFvHNbP02WO3aaYwviZwqFhyy3H0t7vmfHPr83j/zcVu8Npo3bsHEwfes6fj1Acm/wMr/OXtAFBIAAEMDCmB6HQCsN3KU9e7HO7MVj111NaWUOtTT6oZO9+YwlxrM2nQyUnH/K3UqP2FgDLz9++aYZku/++WuV6SZDY3OjA1ce5TSwFSMgP0pbLdd9kdH+50qz1/QLWGfsFKBodMZiuAjCpgjrkqUZOJH+U8aold/aM99ky7KD90vGWTzw2T5JnI8XoHFy2mNUkHivj2JmN97m+5rIfHr2Bek3ZZQU/+b1QHJv8DLbTw4oBAJAAAjwNgEuSEJRSHmJyXSKAnVFta1p1mYE+WY0nvoSjU5cdlF3goJAWBq5qVZNsq/3k0BSJzxAK00MjwihRNeZ9k0ICQ0ifbBfqqkihtIjTBZFn6tpCHszciOCAoKxPXBDA2No7++ZOhhcneWTT+mEUTxUVUBKWRIhfc6rFx2tIiYmpCxeF5dTg4xWFicgeSCZhxzJ1tRe6GW2PKAQCAABIMDbBLgg1GMNEC83fs0Rm8Wzhin2xZEKq0QEkVxRQjfkIalUGoLiUIRGJVMRHA5tkYZjUkTrqBk1qa8DCtcZ6asSffKrWKvih5Ka2H3zZp9DizPIOpb8oKcDGkByByBBFSAABIAAEOA+Alwc6hHUjHyvWg94577d7L+4MlRh4javHTLdQpBGpZCpzB/+aF/UCTNoCNYp2jJy7BZzuagTcklWGSIqryCCIxflYflWnKycIhEpzapgv3bORQo6bQpI7g1e7vS0gAZAAAgAAd4h0A05sg6LxUtPNrY6tHaMfMdu7BJWH6+Fy/rHxcMrOPpz7JfgqNw2y7sdHrhNRdIry4mSK54V0dp3wKSo42YQ+ulOlkWSPmR1k53tzevxM9SCT+GZiOYyvcY3rOBk9Ay0kNxXUSV8unqLAQfJvcHLPX5lgQFAAAgAgV9HgINZPZGRmz33L5FFFkh+nmPx8cfhUF16RCIywdhy5efrERk1qPRIeeFfx4F1zz80Q2eDpZVISDJZdYm11dCKgJVP877dS8i6U54tqU3wPhpmdPqIqwPRMwQZbX1AHw075J5Yz7OCfmw4SO4NXv7xPIAaQAAIAAFeJcDBUK8uK/h51kIjNPhFJrvIoDnXVp9208hC4oSN8eUb1kLYYxN1lTmxb5NJnM4f/dAMqqi2jfNSeTw5N9J/q8Xx+0XMl4Z5dYa0sZucfdVicx/HPfYubtuRytinbvP2303ntE84yxIk9wYvc3ZOwWhAAAgAAQ4SQEeLaHBwOLZDCQ3e+uHR6s8mM1cFd+apWrZ9/tJCAZVVwYF2JeaTDZ9jT+DCAQSAABAAAkAACAABbiPAwawec+kC/ZZsW9H/a3RcqcjYNSsG1Ec5JdUwrwlngQAQAAJAAAgAASAABDpHoMdDPYKkmvp48zVr5ISRquzwU5YH/WFjtM65EGoDASAABIAAEAACQIAVAW5awGVlI5wHAkAACAABIAAEgAAQ6BIBTr5spUsGQiMgAASAABAAAkAACACBrhKAUK+r5KAdEAACQAAIAAEgAAS4ngBvhnp46UlHPa/8PV6U6/mCgUAACAABIAAEgAAQ6EECvBnqoSKqv40frdGHN63vQXfD0EAACAABIAAEgEDvIgDBUu/ydzu1qPDgRc5JSYHndIgtylAxzYV/ez0rSYokxQeGnjGdJNU8UVARdQPna/fzsaKk0ASvA+uHifL9JMJJjLZ2885KjCQlvg4/baLfuC1cO5b8dKIXSuYn94EWIAAEgEALAnz/LQ3eZklAQGbk3EPudyNdDBQRtGUtnPTUC7cOrMA/3bLaeJbVzSw9q0fuqwYR6FVQMR3Xm84bRF5ZrVo5yfjwfcG5pz33TJNo1ZzlgDxagFdce/bi4SlVnrttlu3+t/w3m4dnFqh1bB9nHlWM9ELJvOoqsBsIAAEg8EMCPR/q4frNcY76+IFEzxKFJfk4bBzelCXCSU9wvXnv6xfsfCQpLuCd2/ppssxeA4iTmGTvXR7vfUhPnK0aoZHmF2Kj6KMk3Dl84fL9gqSITP+dc+WwL202RRjBn7bwh17okQpCAy1dbGaQ/I1t/HNbGYBKj185v8/XIzvOeIV9eff88oZdL2tGrt6oie1OhwgPmGYoW3L7yHmv8LiPIfcPOt4vlNCeqsQIA/n0EB6y3H4s7fmeHfv83jzyc1u9N5g2bsPGwYJ8KpcuqxdK5mNvgjQgAAR6PQG2wRFH6FBLox862ZvPWGI8a9PJQMn5p9yt9BhriTiR/lPGqJXf2jPfZMuyg/dLxlk88Nk+Sbx1AgkvPWu3xwMTstvajQfeV7DdfVZAfpS2Wq77IqP9z5Vmr+kXsM7YKUDR6IzFcBGETRFmyM9ZyBGIXRmkLsFhzsxx1u6PM2qb9x1m9IMKi2PRdlVeVSNOWmViWDIipzdQDENfX5SSSZOaNns4Yw1TSH3cSOnKmKCchq4YwBttcHLaY1SQeK+PYmY33ub7msh8evYF6TdllBT/5vV6oWTemItgJRAAAkCgSwSYpcm61FHXG9VmBPlmNDb/Eo1OXHZRd4KCQFgaufFUbkRQQDC2w2xoYAzt/T1TB4Ors3zyG4tQosb6066nxiTsWrrzXCypdbzC3B5aaWJ4RAglus60b0JIaBDpg/1STRUxNAWrzaLoczUN6YKFFObjc9dZGo0pM2rhp7B0xMRm3bjXp0KyyCKtqIHlAAAgAElEQVTK6v3EEKRSWACL7ig5D80OjHvk5BE79vXDdMX5vzWc2HjoWRnTfrhLbFetEZBSlkRIn/PqRUeriIkJKYvXxeXUIKOVxQlIHk94ufPCe6HkzkOCFkAACAABniHQ81k9vNz4tZe8HmR+iaiK+e/TkXGCiKAogYlZNamvAwrR4fqqzY8PTDx8+fTMwv1G2852LM5rdgqVSkNQHIrQqGQqgsOhLRKFzIq6biHPTIPWhtbGua9xfiO2/mxC9EdSfFCsh6kG0lCQR6JHNniikpqSWP47d79PRVQKhThs2fKJqvy8fvsNTU3svnmzhxo4h1TzqFc7b3YvlNx5SNACCAABIMD1BJjEVBy1maBm5HvV2oD0xM7MRH+pudmlL/Wsxqch2IIi2iIuS7rn/75u6J8ntk7p2zkZNCqFTGW+2Nu+6GcsZCWF28/TSBGXbDSHTR40/Y9h+lN1TyYjSPKzpBrMbDG9bZ4biKdMtx28dm2P9erhJj4C8/a5tF1W53Z9nbGPXJJVhojKK4jgyBV5GeUNOBE5RSJSmlXBv4vWvVByZ2YE1AUCQAAI8BiBzsVIPycOLz3Z2OrQ2jHyLe5yElYfr4XL+sfFwys4+nPsl+Co3FoWgxD66U6WRZI+ZDVXyHvjNnveAX8pk4d37GZ8fxsIi/bfT5NeWU6UXPGsiMmqI5Oin7Hwh6ZwdQVyZU5GVoH4LFcLjcrnl+7mYkk9vJTGYKmG7OiCxoCcWhoTEkcRVlUS498b16gFn8IzEc1leo1vWMHJ6BloIbmvokr4dPUWm5K9UDJXX4hgHBAAAkDg5whw8F49kZGbPfcvkUUWSH6eY/GxKWCrS49IRCYYW678fD0iowaVHikv3FqQzgZLK5GQZLLqEmuroRUBK5/mYTfxfbOaVvP1waZl9Yifs9/lihmrL76vYhK+/RwgpGsW/uSgHGmOCsuqDZQmEPtLCSEEaTWNEaSq0vT07Boq9mCG0uBBA5XVdScablw1Xinh+oL9rwroaVBKQURwCsH0mMNK8pXwTJr8FFO76fh01/dFTXdWcsRuDg9Sm+B9NMzo9BFXB6JnCDLa+oA+GnbIPZFl9pnD5v2K4Xqh5F+BEfoEAkAACHAHAQ6GenVZwc+zFhqhwS8yv39N1qfdNLKQOGFjfPmGNfYyD1pdZU7s22TGXWGNB1VU28Z5qTyenBvpv9Xi+P2itguvDbnPtpoqaty38nWI07F/0678Zzn/vIU/a8Gvai84dOOFIFP5xu7nunjORUg+a2atDa1GhDS2eXhuli5Piflw/89Np33eZ3/zWG3chQVW+JO2W/39dtCfTU4NdbM84hzPz3EPQs6+arG5j+Meexe37Uhl7FO3efvvpvNvTo8+H3qh5F91lUG/QAAIAIEeJ4COFtHocSOYGyCgsio40K7EfLLhc+wJXG48uN9CbqQGNgEBIAAEgAAQAAKcI8DJe/U4pwpGAgJAAAgAASAABIAAEMAIQKgH0wAIAAEgAASAABAAAnxLgIsXcPmWOQgDAkAACAABIAAEgACHCEBWj0OgYRggAASAABAAAkAACHCeAIR6nGcOIwIBIAAEgAAQAAJAgEMEINTjEGgYBggAASAABIAAEAACnCfAFaEeKqqi/fsMLRkmWy6wKcLepCxrYOsWER5OSoqsiHwa/PeaYdir+eAAAkAACAABIAAEgAAQaCLAFaGe4FBTV2/HOf0J7d3Cpggnb+h4e6tOwZ0/569c/4ftifMB0YV8vGlDezbddQYV0Vp3MT8p8rPVwOZQGScx2trNOysxkpT4Ovy0iX7jrmDNI+JEh8ww/fvSncSoiBK/ZapMYvTuMo4r+vkBDa6wsZuN6IWSu5kgdAcEgAAQ4BYCHNwto7slE5RGDxAqfvrn+UehNd3ddy/qT3DI6uPP7Ia0UoxXXHv24mGtGLfdNu+Q/9kcsHl4plJ7rX/jFhEoceCGY+ectbO8bvnsvJKanpuR33YHE/7Cx5YGf0n9pqYXSuZPR4IqIAAEgABGoKdftiKq65hwe17fVr6ouWcyc1UwqZNFaftnLTuRxiatJzTS3O3OprFqIvVZES9fVY9YNEmp7ov3ls3HHhYIsC7CNsDC9Ztz+OmhGRp9sORVfc6nJ64ORy/FkLDwBic9wfn0jmUj1WSxjXvJxZ+e395/6FogL6UWcVITd789O/z2lovqp0/peS7RO51ShyDCw2w//bs8zub3xY+KqQhOfu6Z2JPq5/9YsC+uHkFFx+29c1fL18DU83N19+84zIUXJTsaXGhud5jUCyV3BzboAwgAASDAnQR6egG3OtptiuHKtQ/LkbJnaxcs1pmN/aywi6Sn6TpXZGB5JYtNnIf1JyA/Slst132R0f7nSrPX9AtYZ+wUoGh0xmK4CLsirCG1NPqhk735jCXGszadDJScf8rdSo9IdydOpP+UMWrlt/bMN9my7OD9knEWD3y2TxJHudPV7a0SkDc4f2J61F5b58jKFok5nJz2GBUk3uujmNmNt/m+JjKfnn1B+k0ZJYWFujjpiXtXKKMS83zfvSfFv4v3dtikJdbTk6i9sm48w45GNw7DTV31QsnchB9sAQJAAAh0M4GeXsCl1RYnp1RJljYgDaVpKanxtd/1da2IPR9aaWJ4RAglus60b0JIaBDpg/1STRUxNAVrxaKInrqqzQjyzWjs+Es0OnHZRd0JCgJh3zKIuRFBAcHYLr2hgTG09/dMHQyuzvLJx5KB3H7gFVYc2a37Zu/Yx/lkIaUW1gpIKUsipM959aKjVcTEhJTF6+JyapDRyuIEJE9g8PQxgpWhz664vUwuEVRfvMPh5HXxwhl2d4v4dRGXHQ0e8HJXZmEvlNwVTNAGCAABIMAjBPg6IcPKB1QqDUFxKEKjkrH1SRzaIg3HrAgvN37tJa8HmV8iqmL++3RknCAiKEpgAq4m9XVAITpcX5WR8uPyAyc33e7IqI/2ru9YBmk1sfvmzR5q4BxS3awFJyqvIIZk3rv9JPBzwqcPT532Xk4W/W2jHu9kMrvsFiY0utwXjzTshZJ5xDNgJhAAAkCgMwR6OqvXGVu7rS6NSiFTmWeh2hcR1Ix8r1oPeOe+3ey/uDJUYeI2rx0yzE2hIVinaMvIkXk9LjiLSkwxnd5XHPEMjvBsNsfSt2DyoRHL75ZklSFYTCeCIxflYdlMnKycIhEpzapoQGjkemyVXFxBDFvLpQNsKPpagC3qymG/l7FfPucCzV0zgcyaRtc65P5WvVAy9zsFLAQCQAAIdJkAk+RUl/v6UUO89GRjq0Nrx8i3fTcHra66HiH2pccPbQ82RW2rdvh30ivLiZIrnhUxeaiASZGw+ngtXNY/Lh5ewdGfY78ER+W2WGRuNSahn+5kWSTpQxarCh228NdXpJU/sVvIuDOS8bPowONqJPuW7QTr57kUasGn8ExEc5le4xtWcDJ6BlpI7quoEgpCI32NzkJUZmhLN/pKWEVLFalJTePXOA9zBBsav95NPTNCL5TcM6BhVCAABIAARwhwMKsnMnKz5/4lssgCyc9zLD62DIcasqOSa8ym/mk13yWoSEBerc8nv5vJ2JOg2MGmiCN8EKQuPSIRmWBsufLz9YiMGlR6pDz2uG3LQ2eDpZVISDJZdYm11dCKgJVP83ghv0WtzP4a3yyDKFnWgNQWZyZlV2LGkxO8j4YZnT7i6kD0DEFGWx/QR8MOuSfWY9VrE/3PR6/+a9+fO8vPPS1TXeOwUjn7jsmHKg45oyeGqWVNoyfM4cSYvVAyJ7DCGEAACACBniHAwVCvLiv4edZCIzT4RSY9aGhx0Epeu265+deR1Q4+6xBySewlu0e3k+sYK6xsijgErD7tppGFxAkb48s3rLE3DNPqKnNi3yaTvt+RTxXVtnFeKo8n50b6b7U4fp/lvW8cMrgbhiFnX7XY3Mdxj72L23akMvap27z9dxtfqoc0fP1701bin3bmf1/di9Znht5aY3Ym9PvNfN0wONd1wYYG19naTQb1QsndRA66AQJAAAhwH4Gefq8e9xHphEUCKquCA+1KzCcbPseewIUDCAABIAAEgAAQAALcRoCT9+pxm3awBwgAASAABIAAEAACfE4AQj0+dzDIAwJAAAgAASAABHozAVjA7c3eB+1AAAgAASAABIAAnxOArB6fOxjkAQEgAASAABAAAr2ZAIR6vdn7oB0IAAEgAASAABDgcwJcFuoJ9f/d4YDZDBkuM4vPJwHIAwJAAAgAASAABPiVAJfFVEIaC3asmTFMhMvM4lfvgy4gAASAABAAAkCAzwlATMXfDhZUWmB7LOhdGCkpkhQbEHx63WSpZpejIuoGztfu52NFSaEJXgfWDxNtNR1Q4cGLnJOSAs/pEJlAQkW01l3E2n62Goi9WZpPDqaS8RJ6K/Y+fvGmAgMV/+r9+c0zZJls4ccnBNrI4Esv86erQBUQAAJAgBUBDu6WwcoEOP8LCVAoAqLlL87ud8qokdCcudPO0k/oq+bmwGIagorpuN50Nsr2NF/1NAk/aIX9vtOeQunT9wWUY3sDC8iMNLSxMrf9TQFBypiZJzhk9fFndkOYFfHoOZaSBVXnH7XVzbl9atWHQqHBBvt2mvmIZg03fZjzfcMUHpX8Q7P5z8s/lAwVgAAQAAL8R6Dns3qo2KD5p+88K8VSJnEvXtgMbclYQFrH6tj15Fgs7fQh/YHr9rF9GekUvPL8U7lJr64YyDB+xckbuGQlPT2tL8FWjdBI8wuxUVhXYQl3Dl+4fL8gKSLTf+dcOawPNkX0/vvNcY76+IGeGEsKS/Jx2Di8KfuFk57gevPe1y/Yecz4gHdu66fJclnsTMnzPeT0563nz4Leenu47HlbLzJ4uCKBTk14wDRD2ZLbR857hcd9DLl/0PF+oYT2VCVGmdBASxebGSR/Yxv/XPrvbQ6c1MQd/nYS5zYcfFjetoxXf2ctuT7t+owJi1eevPvgbZDvpcNbfcsER+jzUSaTlcf40custMJ5IAAEgAA/E2AbHHFAOF5m2oXbDqZS7x1srJbv9gyp/m4QKjrK6bbHn5rJJ6zWT1u953yeruOVY6bKWGRGyXpwcPWdumXHnTepCwr0m3POZWaxh/2ekHLGtrmsDgH5Udpque6LjPY/V5q9pl/AOmOnAEWjMxbDRRA2RVhv1NLoh0725jOWGM/adDJQcv4pdys9xpImTqT/lDFq5bf2zDfZsuzg/ZJxFg98tk8SR1lZ0JPn8aLq+sut9QipL96kMbYgri9KyaRJTZs9XJKOXEh93EjpypignAZ6WV2Cw5yZ46zdH2fUYim+NoeAvMH5E9Oj9to6R1ayBd62IVf/zk4yjdzwTShORFlRBMmOz22zjTNXa+uKcfzp5a6QgDZAAAgAAV4n0MNJKLzqnI0LJZL2LHFw+0pGkLf/VU3eeF6SARWnOMfWXCncbKrT7QL6F214Im1isOvG6QpXr2WTqeWBh20Pj75xzP3P4WVTZ2aen3D6c1X7qKSdd2ilieERIZToOtO+CSGhQaQP9ks1VcTQFKwii6LP1TSkNiPIN6Oxry/R6MRlF3UnKAiEpWEG04/ciKCAYGwP3NDAGNr7e6YOBldn+eRz0+IeTn6+R9IxbSxGrou6YHD6SxXDbErOQ7MD4x45ecSOff0wXXH+bw0nNh56VtYEkUZjQROvsOLIbt03e8c+zicLKTUS4I//spT8XZ7goKUHT00oPL/qbkqT8/lDejsV/OvldlLhBBAAAkCA7wn0cFZPuP8YVaQwMjiv/TensMYEDbzgGI93EYyV08iqcNepAoisuhRjiRGh1cQdtTwWrmxoOirXefu1LzWdcBWVit2qhkMRGpVMRXA4tEUajlkRXm782kteDzK/RFTF/PfpyDhBRFCUwARcTerrgEJ0uL4qs6cYOmFed1elFr3cr79kk9GBG2FqmwNumI1utA9PVFJTEst/5+73qYhKoRCHLVs+UbURLksLcHLT7Y6M+mjv+q6IfxJ6LNW2KsCSzKan3hwaFrhz897wShaBcMe64vZavdjL3O4asA8IAAEg0AUCPZzVw6ItetSFhV3tDpQejJU8Ml53OaauuZDWUJZT2/SbgNLYScPwNArSf/miYWdcPnX865dGpZCpzEOV9kUENSPfq9YD3rlvN/svrgxVmLjNa4dMO2sZJ2gI1inaMnJkXo/TZylV2dFR2M/7V6l9Ym+ssh7paRpWLaa3zXMD8dScbS5J9ci160e9doVf2+fy8K1RYAXLOAaVmGI6va844hkc4dkswtK3YPKhEcv9Mrkpk9nNiHF9xlmcfWQp7Wu12vJJHp8v3vZaL3fzpIHugAAQAAJcQoCToR5eevKqVbNwoWeuh39b4KxJCU5BZo+bM0AorEVAx2BTk/wuhTZbW1cgzz8GW0Rtc6BiWhvv/Knz+a/llrXb3zodOxq6ZOvrMubhW9u2pFeWExmLxCJtSxAmRcLq47VwWSddPLwS6F/xqX1yaxHmoR6hn+5kWSTpQ9a3YLRd9z1+goKty6J4+sMseCmNwVIN2dEFjXELtTQmJI6yVFVJDI9UtE+xNhlOK39it1CH+C2jSRzudMNx1D3bRf9E5PJxnIfgleY63bWU9TU3Nn9eyBJOjzu3uwzopV7uLnzQDxAAAkCA2whwMNQTGbnZc/8SWWSB5Oc5Fh8bwyFq1uO/PbZetLt6WuC41+usOik9OeyBAQYkavbjU+fMLlld9+h79vajuOIGouwgxfJ7119nkhG0z/8czmxSeblL53pSLnLAfIr/laM7HxrufVjcsWCvM16oS49IRCYYW678fD0iowaVHikv3Lq5zgZLK5GQZLLqEmuroRUBK58yWY3uzIDdWVdAdqLtStXMmK951Yikqo6x1QKZwntXYrDVblpBRHAKwfSYw0rylfBMmvwUU7vp+HTX90WMUAYVllUbKE0g9pcSQgjSahojSFWl6enZNdTK7K/xzQYSJcsakNrizKTsSt4PgFhKRogj7Hf/hgY6XsmQ1NRsvJGURspJS6vg1/CWj73cnRcX9AUEgAAQ4BECHAz16rKCn2ctNEKDX2R+XwGjVYTvWGqeu99qs8NxGyzbRC5P+/AkkUSP2GiVH3cvWZ9hb75li+MaUew5gorkoKuvbr3OpIiOsXLaIvZ8xcEXjGRSgb/jMdMXB09Z+7w5+LHjy7gd9FB92k0jC4kTNsaXb1hj7wqm1VXmxL5NJn3/mqeKats4L5XHk3Mj/bdaHL/PTXex4YhSKrpLzM3UZbGb8GryI/9zX+Hi8Zr+5jykNu7CAiv8Sdut/n476E8Zp4a6WR5xjm90jeDQjReCTOUbEc118ZyLkHzWzFobWt1BaDxYjaVkgtxIfRmkz7QDL6d9l/Vh18ypftzkaR4kDiYDASAABIAARwigo0U0ODIQPw4ioLIqONCuxHyy4XPsCVw4gAAQAAJAAAgAASDAbQSYPEjKbSaCPUAACAABIAAEgAAQAAJdIwChXte4QSsgAASAABAAAkAACPAAAVjA5QEngYlAAAgAASAABIAAEOgaAcjqdY0btAICQAAIAAEgAASAAA8QgFCPB5wEJgIBIAAEgAAQAAJAoGsEejrUw4lrbd63106Ly/YS6xpMaAUEgAAQAAJAAAgAAe4iwLlQDxVV0f59hpYMfauG7wdOYuQ6kyUz+nHw/X7c5QCwBggAASAABIAAEAACv45Ad4Z6KFFt1uHL9/KSIklJbz9dsl3cX6jF3raCQ01dvR3n9Mfe5QsHNxDAS+it2Pv4xZsKzF/xr96f3zxD9nsYLjTEPJrux+afK0v7NjkTJzHa2s07KzGSlPg6/LSJvmR3zqEeA8OWBg9LZqOLTVGzG1ARrXUX85MiP1sNxN4fDgcQAAJAAAjwIIHuy6bhpCaf9XZZmOe9fYNjIn7Qiu32nt6ytYb7HpV0/2ZlPAia60wWVJ1/1FY35/apVR8KhQYb7Ntp5iOaNdz0YQ5jHxA8UUIEyTixYZdXPmPPM2p1RgVjI2K84tqzFw9rxbjttnmH/M/mgM3DM5Xaa/3TeXyTMHY0eFkyG11sir5NVsEhq48/sxvCdXMXDAICQAAIAIFOEOi2l60IaGy4FbWj2mra+kvZ9K99AeXlLwN3ibgu0PdIF9R1TLg9r28rs2rumcxcFUxq3HBiWFl5naSEMFKTFuyzZ/ff93MaGusKSOts3W1jNWdEPwKlKD7w9KEjp8JKGUEFrq+O0YENBtNGD1STEaUnCis+7V226VRKU0NmBIRGmrvd2TRWTaQ+K+Llq+oRiyYp1X3x3rL52MMCAdZF2Gi4fnMOPz00Q6MPlvSqz/n0xNXh6KUY+t5tOOkJzqd3LBupJotti0su/vT89v5D1wILeWU/WFSAgJIbGgNxov7hxy8MQwwn7nnL2PxMbMKx1EuSm8ZuuFfeiqXwMNtP/y6Ps/l98SNsv2Gc/NwzsSfVz/+xYF/c983umMHn/nMsafC4ZJa6sJ2O2UwAbHZLTdz99uzw21suqp8+pee5RO90Sh33uxEsBAJAAAgAgbYEumvxDSehM30Qkvg0IK8pvUPODbqTgAybMUIKh1RHu00xXLn2YTlS9mztgsU6s7GfFXaRNc3GZL28sHGj+ZKdt9K1jG+dWTKAkWtERUc53fb4UzP5hNX6aav3nM/TdbxyzFS5cZERLz9++aYZku/++WuV6SZDY3OjA1cefQsQ22ps+l1AfpS2Wq77IqP9z5Vmr+kXsM7YKUDR6IzFcBGETRHWmFoa/dDJ3nzGEuNZm04GSs4/5W6lx3iMBCfSf8oYtfJbe+abbFl28H7JOIsHPtsnibdYtWZhCnecpn2L8+hKlBVFkOz43KaADSVKyxLrq4XlZCQILeXg5LTHqCDxXh/FzG68zfc1kfn07AvSb8ooqdZ3YHKHvs5ZwYoGr0tmpQujw6YIuyQMzp+YHrXX1jmyEtLynZtKUBsIAAEgwF0EumsBFy+hLo00ZGSVNC/kUcpS8xqQ/spYFJBfW5ycUiVZ2oA0lKalpMbXtmXwNfCR/2tsG9mwuD6TY/bNmSjllVqAKM6xNVcKN5vqdLuA/l0TnkibGOy6cbrC1WvZTXmzmmRf7yeBpLa9sfmdVpoYHhFCia4z7ZsQEhpE+mC/VFNFDE3BmrAo+lxNQ2ozgnwzGnv9Eo1OXHZRd4KCQFhakxW5EUEBwZjxoYExtPf3TB0Mrs7yyeep9UzBQUsPnppQeH7V3ZQmTQISkrU59br/PH6BRyhZ4T4H9rl5p9XSEAEpZUmE9DmvXnS0ipiYkLJ4XVxODTJaWZyAfIvx2dDnjaI2NPhGcnsvN/ujXRFeYcWR3bpv9o59nE8WUuINv4GVQAAIAAEgwJxAd4V6zHvv7FlKUWp2DTJAWQKPFBA0JmjgBUU93kV4tOgmX12KgHwL9Trb/bf6VCoNQXEoQqOSsUVIHNoib8WkiIaXG7/miM3iWcMU++JIhVUigkiuKIFJOrQm9XVA4TojfVWiT35VV23jdDssd7r26JM9gwN3rt0bXsm4HQ87GpI9zYZ4YnfmiaiONth1eP/l2yKFBg6BzYu5NbH75s0+hxZnkHUsOW3xrxyPOQ3GiDwtmY0uJkU4uel2R0Z9tDZ8VwQJvV853aBvIAAEgABHCHRXqEcp/1qCEOTpObzKxowWXmKAAgEpbpHn64ggSgMFweHpwRdKD8ZKHhmvuxzz/RYhWkNZTrucYEf6bVWHRqWQqcy/xNoXEdSMfK9aD3jnvt3sv7gyVGHiNq8dMsyHpCFYp2jLyJF5Pa45i+szzuLsI0tpX6vVlk/ymNxtR6nOiLi7Y/fwOV6GJsNcAkNqS7LKEFF5BREcuSgPS3TiZOUUiUhpVgWbeyS5Ru2PDGFOg8zzkpnrYtBgWoRKTDGd3lcc8QyOwKL9psPSt2DyoRHL/TJ5Kl/9I5dDORAAAkCgNxDorlCPWh4RkIzsMJyu4HO58bGMfpOMhiBxx6K/PYBLq6uuR4h9xTp6V1dN8rsU2mxtXYE8/xhsEbUbD9Iry4mS9P5E2nXKpEhYfbwWLuuki4dXAj0WSu2TW4swD/UI/XQnyyJJH7J+PhhtZ9ivOIFXmut011LW19zY/Dm7Z0noMXfTQS34FJ6JLF+mJ+n9BHMsTkbPQAvJPR/1fd3+VxjKkT5Z0eB1yax0YVBZFNHKn9gt1CF+y1sThzvdcBx1z3bRPxG5EOdxZC7CIEAACACBbiXQXaEeQk65e9bb7OTxs3bUE88ScYNX7bDXrXhm5Jf5Ld/TkB2VXGM29U+r+S5BRQLyan0++d1MZvNIHzX78alzZpesrnv0PXv7UVxxA1F2kGL5veuvMzn7hGtdekQiMsHYcuXn6xEZNaj0SHnscduWh84GSyuRkGSy6hJrq6EVASuf5nHWwK7OB+II+92/oYGOVzIkNTUZoS9CI+WkpVVQEJFhllvHV0bHp1fQJFR1TawWyRbfvxZLf4ymNsH7aJjR6SOuDkTPEGS09QF9NOyQeyKThGBXzeqhdqxp8LZk1roQ1kWV2V/jm/1AlCxrQGqLM5OyK3ljYvfQDIJhgQAQAALcSqDbQj2EWvzGfNmeQoetLpeMxJDq1OA7phZnHmJv5Gg6aCWvXbfc/OvIagefdQi5JPaS3aPb7EI9hFb5cfeS9Rn25lu2OK4RRRBKRXLQ1Ve3OB3q1afdNLKQOGFjfPmGNfYWWVpdZU7s22TS9/wGVVTbxnmpPJ6cG+m/1eL4fR65v4kgN1JfBukz7cDLad8n54ddM6f6FaEikvJDZ9uaWNCj2rqiqP8urXJxf1XOSK2Ss69abO7juMfexW07Uhn71G3e/ru8/lI9TBYbGlRelsxGF571BGB+cwO3foaBXUAACAABIMCWQLe9V4/tKHxa2PhSwBLzyYbPsSdw4QACQAAIAAEgAASAALcRYPIgKbeZCPYAASAABKQrCUYAACAASURBVIAAEAACQAAIdI0AhHpd4watgAAQAAJAAAgAASDAAwRgAZcHnAQmAgEgAASAABAAAkCgawQgq9c1btAKCAABIAAEgAAQAAI8QABCPR5wEpgIBIAAEAACQAAIAIGuEeC7UA8vPemo55W/x2NvZ4EDCAABIAAEgAAQAAK9nADfhXqoiOpv40dr9OE7Yb18ooJ8IAAEgAAQAAJAoCsEuDciEhxp/5gUcWhS8+5lInpXIyNjtg3C3mMMBxMCqPDgRc5JSYHndIgtS3ESo63dvLMSI0mJr8NPm+hLtnM5KqK17mJ+UuRnq4Ft2TIpQkXUDZyv3cfqk5JCE7wOrB8m2q5HJtZxxSlBpQW2x4LehZEw42MDgk+vmyz1zXa8hN6KvY9fvKnAiuJfvT+/eYZs8xZ+3CSZQ15GfjxtuMKjYAQQAAJAAAj8kADPfEv/UElvriAgM3LuIfe7kS4GikjzfrUMIHjFtWcvHp5S5bnbZtnuf8t/s3l4ZoFaq22IBYesPv7MbggzfEyKUDEd15vOG0ReWa1aOcn48H3Buac990yTaD0os7644hyFIiBa/uLs/kWmVqYngoVmWfodmSLNsF1Qdf5RW92yx6dWrbM0ORpEmG7mc3y2IgMU10jmnJc7MG24wp9gBBAAAkAACHSAAG+GejjpCS7XfBIiGOmZpKAvV7ctUBJkohYnMcneuzze+5CeOCaUfSvBfpP3X/DLxjpMfP3+/BbDfgR6h6Lj73yOfLtMriWnvoYe5VFHp4r+oEMm9vyiU0IDLV1sZpD8jW38c1sPITxkuf1Y2vM9O/b5vXnk57Z6bzBt3IaNg5tZ4aQm7vC3kzi34eDD8jbGMS8SHjDNULbk9pHzXuFxH0PuH3S8XyihPVWJwYr7D0qe7yGnP289fxb01tvDZc/bepHBwxUZttenXZ8xYfHKk3cfvA3yvXR4q2+Z4Aj9xiQnt0jmpJd/MG2439NgIRAAAkAACDQT4NFQT6T/VH2N+nuHl64zX77bO2vUmpvnVwxqE2/gpWft9nhgQnZbu/HA+wpsW08c61aoxJij3m67NJOP21ou3n49cdgmP2/7KViyilyaUkqTVBQnIKiwtPJAOWEUEeirKIGUpBc2sOuQo1OsLsFhzsxx1u6PM2oZ+9R+966c9hgVJN7ro5jZjbf5viYyn559QfpNGSXVmNcTkDc4f2J61F5b58jKNtuesiqqL0rJpElNmz2csQ4spD5upHRlTFBOA0f1/vxgeFF1/eXWeoTUF2/S6hu7o5EbvjHAiSgriiDZ8bmMIm6RzDkv49hPm5/HDz0AASAABIAABwkIcHCs7h4qOyzw8Vts89mwL0T92AMGk2SuJ+U2fVujRI31p11PjUnYtXTnuVhSywCIWStEeY7lBoWvh+bsP5GEfb0HvUokDH9odnD2pbfeRbGFtHVqfQk46Xl//+shdnzEAn/Z/n2pecn538IbZh1yer94Gq11jNeEWkBKWRIhfc6rFx2tIiYmpCxeF5dTg4xWxiLXPApeYcWR3bpv9o59nE8WUmrlHNZFlJyHZgfGPXLyiB37+mG64vzfGk5sPPSsjOno3e3v7ukPJz/fI+mYNhbs1kVdMDj9paptt4KDlh48NaHw/Kq7KWR6GfdI5pSX2U6btrjgdyAABIAAEOByAryZ1WsNlVKcml2NiPUT+34P2sTDl0/PLNxvtO1s6zivRcOWrYgDxw9ACt+/zGrK8NRlvHtViAwdq0qkktJTKsVU+olL66zSwiGDDafIiyoN7FOalN0qfqT3y8QMbnF+Tey+ebOHGjiHVDdbhJObbndk1Ed713dFbeNSNkXYzX9EJTUlsfx37n6fiqgUCnHYsuUTVXlk/ZYhnlr0cr/+kk1GB26EqW0OuGE2uuVDLKjoKNNTbw4NC9y5eW94ZVMAyyuSu9HLjdOESYfcMqPBDiAABIAAEOgwAS7O6lHJVAQv8D0WRfEEPEKlMksg0ShUBMWh3x8OSLrnX/bHoj9PbP209vTr0raxTBOdNq1aNMcqfOurLj0qlzpu0IjJGlqJV9wElq6ephmkgKT75dZiK8JtMLczo8Nu+EUVySVZZYiovIIIjlyUl4EZLCunSERKsyoaUIkpptP7iiOewRGezYNb+hZMPjRieeB4lkV+pXrbPDcQT83Z5oKlP69dP+q1K/zaPpeHb40CK5g55hfp+qluKVXZ0VHYz/tXqX1ib6yyHulpGsYIgXF9xlmcfWQp7Wu12vJJXlPUjyBi3C652718l+W0+Snw0BgIAAEgAAR6hAD3hnrk0mwsTBkwUgb/JoOCsSHIDtEkIiVYmNI+xmqHLu+N20L3T+euOz68I7hgxbGAEhbRXlPDmpSQVGS23nQVwfBE+le8kOqEKbJIXFhGDUKlJSaUy+pvXN83zv3Pi4L/M12/oq982atk+s1tbUO9dmb09AlqwafwTGT5Mj1J7ycYApyMnoEWkns+qoRCIz+xW6hD/KaAONzphuOoe7aL/onIpZBYF+EVNQZLNWRHFzQGQtTSmJA4ylJVJSyhWsFY7eSpg4Ite6P4plwwXmmu011LWV9zY/PnhS204KW4XXK3e5kqwGra8JR7wVggAASAABBgEODeUI+aH+T/tmH/waOWRW6BqajaAputmg0R5iHFHYuxaDVfH2xaVo/4Oftdrpix+uL7KjZZJ2rW4zOXtl7c988h8vFHsfjBq7eZDcrz/f1JPhZj1qR/SCLMn6P834rX+ZkCXhEHD0/FhTtlNid9uGEiocKyagOlCcT+UkIIQVpNYwSpqjQ9PbuGWpvgfTTM6PQRVweiZwgy2vqAPhp2yJ0RzlZmf41vtp0oWdaA1BZnJmVXYlEOm6KCiOAUgukxh5XkK+GZNPkppnbT8emu74t4Is4TkJ1ou1I1M+ZrXjUiqapjbLVApvDelZgaOgbiCPvdv6GBjlcyJDU1JRlgaKSctLQKCtdI5pyXyaynDTdMd7ABCAABIAAEOkOAe0M9hJz975p1Esd3rzp/zYSAkAtiAw+sc7mRTc/wdfBoyH221VRR476Vr0Ocjv2bMtbNaOXhdstsih1ttp841QepSnztsfTgP6/L6dEhtTwxKAvRCPEMLKVR0aBTzyqnDg2N/nYfF+suOVkiOHTjhSBT+cYh57p4zkVIPmtmrQ2txiBetdjcx3GPvYvbdqQy9qnbvP130zuBsK2K2rgLC6zwJ223+vvtwNiUpoa6WR5xjueqwLetzc2/44hSKrpLzM3UZbGbC2vyI/9zX+Hi0ehlgtxIfRmkz7QDL6d9b/5h18ypfkVcI5lzXu72acPSJVAABIAAEAACv5wAOlpE45cPAgMAASAABIAAEAACQAAI9AQBrr/drCegwJhAAAgAASAABIAAEOAPAhDq8YcfQQUQAAJAAAgAASAABJgQgFCPCRQ4BQSAABAAAkAACAAB/iAAoR5/+BFUAAEgAASAABAAAkCACQEI9ZhAgVNAAAgAASAABIAAEOAPAhDq8YcfQQUQAAJAAAgAASAABJgQgFCPCRQ4BQSAABAAAkAACAAB/iDAb6Ge2O+eH0lJkW1+Kq5OFqf7CyWqzTp8+V4evcLbT5dsF/cXYux1y74VvQZeYcGLBKyVt3X/Fm+dxitueRBJujGF0XnPHYJKC2yPBb0Lo6uODQg+vW6y1De/4iX0Vux9/OJNBVYU/+r9+c0zZJs2AsNoiGku/NvrWQm9KDD0jOmk5lbNUlARrXUX85MiP1sNFPp2Eicx2trNOysxkpT4Ovy0ib5kz80hVHjwIuekpMBzOsTv9FnTENV1zGo3N9IPjRJhNGaji00R57zOzpWNAkSHzDD9+9KdxKiIEr9lqk1+ZudloSHm0a2AXFnal3FB/HAszsnGHMNMF1sLWerC9jxkJZltEefkstXFmKbMaCCoiLqB87X72KVKSgpN8Dqwfpho02XZxQ45p5jtSOxmb1NDZp9RXQHF1g4oBAI8ToCLd8voEtnqN7uXju2DQ9C+vx+7eAA99/v210U0hFKZU4V9SEpNPuvtsjDPe/sGx0T8oBXb7T29ZWsN9z0qYdeKYYaA+u8r9YpD/hMYv2Gh+oWTSXVdMu5XNaJQBETLX5zd75RRI6E5c6edpZ/QV83NgcU0RFB1/lFb3Zzbp1Z9KBQabLBvp5mPaNZw04c5FAQnPfXCrQOzUz23rA7Ikhhj62j1yJ2sY3Q9CdtjuOkQHLL6+DO7Ia3MxiuuPXvxsFaM226bd8j/bA7YPDxTqb3W/2d24OgSFgGZkYY2Vua2vykgSOttUFjTqIn754/l/o3RPTYdZH/b5rlF4cXrLLo32ehiU9Ql07vWiI0rsQ5R4sANx845a2d53fLZeSU1PTcjn7HtM3sv44kSIkjGiQ27vPIZO9tRqzMq6DvEsB+ra/Z3rRUrXewtZKULs6FrRV0zvgut2OtiRQMV03G96WyU7Wm+6mkS9slmv++0p1D69H0B5bSuddgFy39FE/azlzEis88o1pcDG1C/wn7oEwhwDQF+C/WoVdkp0RhdnLRWNXbF58UlJDV+52HhmsYi8+WSUVaLXC/Td1f7GJqIjAjc5bDo4nOPdNatGj9P1FeuVE+6sseecDRk5cIR510jarnGg5ghlDzfQ06+jRYFfSwfa+A/eLgiIbC4HqlPuz5jwg1yA+Nr/21EzsCJLwz1Bwo9zKlGpcevnN/n6587znilYV/z0TH1QxPcV2/U9Lb/0hjH4qQm7vC3kzi34aD66VN63+QKD1luP5b23GbHvkfYZsRvP9RpxJ7csHHww31xnN0bTWigpYvNjEQvYxsFl1PTWjmDNQ0qKevjx6zGynjZmddXDy+4uXH7y2JsNrDRxaaIk5OAtSuxeS46dvspR5lbU2d4fq5uudfzD7yME5USoxRGfIqLLm8lhd1YnNTMUhebiU23j5WuLhdxTDQ78qxpCA+YZihbctvivNdH7IMpLt5x5FJv/alKhIDy+q51yDG9bAf6weyl//HO7DOK9eWAsAHF1hIoBAK8TqDnFt84TQ4noTN9EJL4NCCvaQtYcm7QnQRk2IwR7dct29gmPHCOUb+kS0/S4h/fi5OdsWJw82Imp0X8YDy8qLr+cms9QuqLN2lNoRetKc7DWuJElBVFkOz4XHoRKiyOLfFU5VUxokCEVpkYlozI6Q0UYyzgIQLyBudPTI/aa+scWdlYg3EaJ6c9RgWJ9/ooZnbjbb6vicynZ1+QflNGSTWvCjOq/fqjLsFhzsxx1u6PM2pbhjatBmZC41s5KqZvtXM+9ZmN20fGRsdsdLEp+vUyW43AypXY3zUT965QRiXm+b57T4p/F+/tsElLjHFls/cySpSWJdZXC8vJSBAa3d48HsuxOKmZtS7MCjYWstHVtSJOimapiw2N+qKUTJrUtNnDGTdTCKmPGyldGROU05if70qHnBTMeiz2s5fVZxSbywFhC4q1IVACBHieQO8J9fAS6tJIQ35WSVOkhyXDylLzGhBp5R/FKYKa8w37Jdx7kktpyHrjlSazYP6gFreGcckUwMnPv1wRHxR9zXJc8sV1p79gC9atD8FBSw+emlB43uluCn2xjlr4KSwdGWGzbpwytqKJF1VW7yeGIARhAfqMwCusOLJb981Bq8eNC3vNPQlIKUsipPy8elE1FTExZWXxuoKcGkRKWZzQdrhf/juNxjLGw0I39jQElOY4LZP+fOH8i9LGOJaNLjZFv1wjiwHauBIRGTx9jGBl2LMrm01WTVjt5EMzPHndcb4M5km2XkYEJCRrc+p1/3n8Iif2fcLNncvVhdtEfNgCWetpw8KiX3Oata6W47W3kI2urhX9Gnk/6LWtLjY0KDkPzQ4ECK71iL138p8znoFbGk5sOfSsrM0F0okOf2Aah4rZzl6Wn1FsLgekY6A4JA+GAQIcJNB7Qr0uQxUasMxQOtr3LX3Vl5z98GGGwsxZmlyX16MWvdyvv2ST0YEbYWqbA26YjW4ZjaKio0xPvTk0LHDn5r3hlY3fALVx7muc34itP5sQ/ZEUHxTrYaqBNBTkkbC7+OSm2x0Z9dHe9V1Ri4ReK341sfvmzR5q4ByCrZJz48GWBiI41MhYrz7I9W7m9/sSG1Ww0cWmiJMEmLgSJyqvIIZk3rv9JPBzwqcPT532Xk4W/W2jnjgWt7H2MmZ0Q7Kn2RBdfXHNCUON/nops/zy7d1TJVoEe0zG4qRUdrqa7GBuIRtdXSvipGrGWEx0saWBJyqpKYnlv3P3+1REpVCIw5Ytn6ja8s+vznbIccVMB2Q9e9l8Rv0cKKZ2wEkgwPMEek+oRyn/WoIQ5Fvk8PASAxQISHGLPB8zdwqpTZunRPifw+Ny+tNt4RHWami/qXP7CzKr25PnKFXZ0VHvH9w+vtTi3/Lhq6xHNj5XimW4+oyzPB+4R+2B1ep1/oxHEBoPGiniko3msMmDpv8xTH+q7slkBEl+llSDoBJTTKf3Ff/NMziC/kjv50srJZCBlr4FvotV8OSSrDIEiyxEcOSKvIzyBpyInCIRKc2qaBsz9SQJ+tgsaWBlwoNMFipVBt5+id1t2HSw0cWmiOMimbuSRq7H8rSiCmJNq+gNRV8LsFUsOcbvrLzc0nZKdUbE3R27/Qulp5sM+/YnAvOxOCmZrS7MkB9ayFRXo4KuFXFGPXNd7GiI6W3z3EA8Zbrt4LVre6xXDzfxEZi3z2USPdanH53vkDNCfzwKq9nL7jPqJ0D92CCoAQR4lEDvCfWo5REBychgw+kKTd+IAv0mGQ1B4gKjS1jlrug+JahOm9k/13vZH4t1ZjN+Fu7xK1deOEWR80uWHZ1iFGxpE8U3qcQrzXW6aynra77W/Ekek0cnyJU5GVkF4rNcLTQqn1+6m0tBaOVP7BY2icX0LjrwuBrJvmU7wfp5LoVa8Ck8E9Fcptf4hhWcjJ6BFpL7Kur7qnhHjeRYvVY06KMKD5g5V6729d0vFd9tYKOLTRHHNDQOxMqVNNLX6CxEZYa2dKPPhVW0VJGa1LQyxlO1jKO9l5uLvv0DxbVcvGU1Vrtmv/AEe10dtbC1rlbmdq3oFyqmd81KFxsaeCmNwVIN2dEFjdc3tTQmJI4irKrUGPt3ocNfLLGz3befvew+o7oMqrNmQX0gwEME+O0JXDboySl3z3qbnTx+1o564lkibvCqHfa6Fc+M/Nqt4rXsAy87fXb/6kjnN3GpTXe/oSX3YiiLZ49V9Pia3lhTTGm45qDKb63IFdmJOdXsokc2NnapSEB2ou1K1cyYr3nViKSqjrHVApnCe1diauidEUfY7/4NDXS8kiGpqSnJ6J5GyklLq6Bgt+wrDR40UFldd6LhxlXjlRKuL9j/qoBuN7Uy+2t8syVEybIGpLY4Mym7EgsdyAneR8OMTh9xdSB6hiCjrQ/oo2GH3BOZxJBdktLxRqiwrNpAaQKxv5QQQpBW0xhBqipNT8+uobKjQe8eL687TgVJ+iuW1HKwWta62BR13NxuqMnalbWJ/uejV/+178+d5eeelqmucVipnH3H5ANjwrL0MoKIDLPcOr4yOj69giahqmtitUi2+P612B9Nm25Q0tEu2OliTYOdLjaS2RR11N7uqMdaFxsaBRHBKQTTYw4ryVfCM2nyU0ztpuPTXd8X0WP9LnXYHUq6ow+Ws5ftZxTry4EdqO6wF/oAAtxKoBeFegi1+I35sj2FDltdLhmJIdWpwXdMLc48/L6Kx8RHOCntRZpI3PXU7/ek0ao+v01HdhhMkPJJL2E0GW4X8OB72/rXFqob3zVHfkw67e5TOKKUiu4SczN1WSzTWJMf+Z/7CheP14wnSwlyI/VlkD7TDryc9n3UD7tmTvUrogppbPPw3CxdnhLz4f6fm077vM/uSMBGzr5qsbmP4x57F7ftSGXsU7d5++9y/KV6mBbBoRsvBJnKN6qa6+I5FyH5rJm1NrSaDQ1GZSHVkYpIyYuklg8WY6fZ6GJT9B3qL/8XO1c2fP1701bin3bmf1/di9Znht5aY3YmtHHKsvYyXkRSfuhsWxMLeWEEqSuK+u/SKhf3Vz+cNr9caIsBWOtiQwNlrYuNZDZFnFTMRheVNY3auAsLrPAnbbf6++3A/lQrTQ11szziHE+/nrvWISclsxuL9exl16pLoNh1CGVAgOcJoKNFNHheBAgAAkAACAABIAAEgAAQYEag99yrx0w9nAMCQAAIAAEgAASAAF8TgFCPr90L4oAAEAACQAAIAIHeTQBCvd7tf1APBIAAEAACQAAI8DUBCPX42r0gDggAASAABIAAEOjdBCDU693+B/VAAAgAASAABIAAXxOAUI+v3QvigAAQAAJAAAgAgd5NAEK93u1/UA8EgAAQAAJAAAjwNQEI9fjavSAOCAABIAAEgAAQ6N0EINTr3f4H9UAACAABIAAEgABfE4BQj6/dC+KAABAAAkAACACB3k0AQr3e7X9QDwSAABAAAkAACPA1AQj1+Nq9IA4IAAEgAASAABDo3QQg1Ovd/gf1QAAIAAEgAASAAF8TgFCPr90L4oAAEAACQAAIAIHeTQBCvd7tf1APBIAAEAACQAAI8DUBCPX42r0gDggAASAABIAAEOjdBCDU693+B/VAAAgAASAABIAAXxOAUI+v3QvigAAQAAJAAAgAgd5NAEK93u1/UA8EgAAQAAJAAAjwNQEI9fjavSAOCAABIAAEgAAQ6N0EINTr3f4H9UAACAABIAAEgABfE4BQj6/dC+KAABAAAkAACACB3k0AQr3e7X9QDwSAABAAAkAACPA1gU6Gerg+wzfu2mU7QpivoYA4IAAEgAAQAAJAAAjwB4HOhnqSozeuX26gSGCnXkTrr0dhpc926Iuh7Kp1qAwVVdH+fYaWDL5DtaESEAACQAAIAAEgAASAQAsCzEM9lKg26/Dle3lJkaSkt58u2S7uL9TxqA0VlhveX1BQVUOZ2PFGrJwiONTU1dtxTn+2sSWrxnAeCAABIAAEgAAQAAK9m4AAE/k4qclnvV0W5nlv3+CYiB+0Yru9p7dsreG+RyVUJrXbnaKVvFptsGoILj2ysEP123UAJ4AAEAACQAAIAAEgAAS6hQCTrJ7AgEXmyyWj7La6Xn7zMSjQy9rM9YPkbIdFKs2ZNW3LfxKisYRfeJLXfpMhIt9yd6jMvKskeiIwIv/Vzf9e/vdgmlizjQLSOlbHrifHYqUf0h+4bh/b9/uSrKDCTLNDAYFvqxrbvr5grymINRTVdcxKCn2zRgaRNXrzBWuI/QTf1Bdl9IkTH7H8os+TQvrJyMrPAaFO+n1/PofYLUihEyAABIAAEAACQAAIcAuB9lk9nITO9EFIoktAHqXRSHJu0J0E5NiMEVKX04sZp9CaL2f3Xkgkqy21tjl3q0+pwa77RVgCj1YauEt7tggWPQr0m3frsnGzRlR0lNNtj8319/ZanYyolJm6YZfjlWPlszZ5ZFEQvPzyk16XZ1Hf3nDfHJqaW0OQVRRLySVjbauj3aYY3ta2OH91Yujatf98qcPOUcqza+jdErX+8ti1+OtVK9PXiZU4iX5q6pR0Eq15QPgHEAACQAAIAAEgAASAAEagfaiHl1CXRhoyskqaIj0svipLzWtA+itL4ZHGUO+jx5nTzyux1i9j8aOeW9kbnnp8IweLziikvMRkOlaBuqLa73hxinNszZXCzaY63S6gL+mGJ9ImBrtunK5w9Vq2kLaZ6yyxUMf5f1zPqm/tEVptcXJKlWRpA9JQmpaSGt+iR4QgqSyOlCZFvAyJysfsjIoEZwIBIAAEgAAQAAJAAAi0I8BkAbddHdYnGnI//FeIDNJVZvvyFWGNCRp4wTEe7yIYi7CRVeGuUwUQWXUpAiKg+L/RMkjs1ac5beI81mMySipCdzm+pBqdSQ2+dWvPyjkaYvCE7g+IQTEQAAJAAAgAASDQGwm0z+pRyr+WIAR5eg6vsjGxh5cYoEBAilvk+ZpJoQh2gxyNxn7pFEVxKFLyyHjd5Rj6ImzjQWsoy8HydDQq1pbWnEDssAvqEu7Yab0YOmf+XKOFm31MrSLcrRceDyvufEcdHhEqAgEgAASAABAAAkCA5wi0z+pRyyMCkpHBhtMVmjJlAv0mGQ1B4gKj2z+AK6w2cZosLTYkk3EDHaujJvldCk1KW1cgLyE5Nb7pJy2lqI6GkPM+fSlGNI2n92PxNhVaXXU9QuzLNGtXXxx37/JRoz9m6bmk6mzcZaraPm5lZRKcBwJAAAgAASAABIBAbyCAVyBItdFJLUsv1FhqYj1JPD+HJKI+2f7IzjmE55Z77sbV0HASI9eb6PctTEmmyIyYsMTZeb1Ome9Gp6dfv6fr6L0xqo2vfnj1Vhq2MEurzEiXnLPacrW+CrUeFZUZoPm/2ZP75UZ/raAi9QVJZaMWb1k7f4I0jUoQk1MeoD1mvFZtYkxpY4KOShYds2XhpOGChQWozNAxk3TrE79gdxGKae93WDlKBCdIFJdXGzbV0HB6/3wvj38/V7HPL/YGj4JGIAAEgAAQAAJAAAg0E0BHi2i0x4GKqBs6OGw10VcWQ6pTg+85OZzxSavFwiic9ETXv3cajVbui2XQKMVRz+8c+OtqQD79gdmWh4DKquDAbQVmv80NrGo8j5f63xZ78y2G/+uPvSyFUpEcdHWV+ZVoRoCICivPXm++Y+nkMUoi2K+kvC839lvbvS5teikfQWnp3r+OLB3VTxAhl8Resttq97YclR6/74it6YRBsvS3stQXJIRed3P+60Vu64CztU3wGxAAAkAACAABIAAEeh0B5qHez2IQGrz1w6PVn01mrgom/Wxf0B4IAAEgAASAABAAAkCgiwS68fY2gX5Ltq3o/zU6rlRk7JoVA+qjnJLY3sLXRYuhGRAAAkAACAABIAAEgEAHCXRjqEeQVFMfb75mjZwwUpUdfsryoD9sjNZBL0A1IAAEgAAQ9iHHfQAAIABJREFUAAJAAAj8EgK/ZgH3l5gKnQIBIAAEgAAQAAJAAAh0jkD7l610rj3UBgJAAAgAASAABIAAEOBaAhDqca1rwDAgAASAABAAAkAACPwsAQj1fpYgtAcCQAAIAAEgAASAANcSgFCPa13T3jBUfMqf98u+3D4wXKh9IZwBAhwiwAPzEBVV0f59hpbMr90bG6e47Gbjvt7Yf5/O6sMh/jAMEAACQKBzBCDU6xyvX1gblZh6NyYy1UGL+H0QwlDLf0lx5xdIYlsNYy+wJqoOViIIqw1jvDkaju4ngBMdMsP070t3EqMiSvyWqf7aQKH7ze+WHjk7D1Gpac7xsZGNAVP5h3tPnJbqSfz8p5LgUFNXb8c5/dvstyigtu1p01hNIdqzdYNY7MnYAZjUgmc79eYtm7DhSnIHaveWKqjw4EXOSUmB53RafJL1FvGgEwhwJ4FufNkKdwrkHatoVTH+McgsvdGKAl9SGvcfwUnqTlJFYj0/VDI2fKPk39y4MKZ/Q3xMJe/I4hlLUeLADcfOOWtned3y2XklNT03I79pwxaekdAthnJ2HqIESUUVwlfXDfseVIgoDp22Y8+e5wNpo9f4pjfujNgtkpo7IedcM1v6XETq92MXD6Dnft/+urCmML3tXj+dGJJcnhVbjghU/q+6E434uKqAzEhDGytz298UEKSMj3WCNCDAawR+/u9nXlPMvfZSioMeJSIaU8b0bfIK2mf4wmFI7OPwfErTUlFF5L//3X3sN7PtUpGAtI7VsevJ9OzIh/QHrtvH9qUnpETH3/kc+XaZXEsn9zX0KI86OhXbng7BiY9YftHnSWESPc9R+Tkg1Em/LyN72HjgZadefPWh4vWh+bK9YJagomO3n3KUuTV1xoatf/vdDYr8mFJc1zt3VOb0PMSmGyktLu5j5PuHt46ZuCYK6i2c9m3KCfabvP+CXzY2RRNfvz+/xbDf9xQcqyJRXcespNA3a2QQWaM3XxpzeME39ekzHkEaitOToxNSMrDQrDovLiEp5mtZPd3LQiPNL8RGYZXDEu4cvnD5fkFSRKb/zrly9MsIJz3B9ea9r41dxQW8c1s/TbajfyL3rotIaKCli80Mkr+xjX9u06cI/A8IAAFuINALvsS5AXPHbKBk/fc0Hjdi6ag+jRGX2HBDfaF0v9d5DQi14Imd9uzFY9ZeSmrXFyo6yum2x5+aySes1k9bved8nq7jlWOmyniEXJpSSpNUFCdg+wxLKw+UE0YRgb6KEkhJemEDghC1/vLYtZjy1Np07W9L1i2w/9vjv3RSi+BGSHmCgTIer6Q/U4X/14uxzZ33rlBGJeb5vntPin8X7+2wSUust14cnJ2HreYzrbqiFkEIRAH6FYBKjDnq7bZLM/m4reXi7dcTh23y87afIvGDoupotymGK9c+LEfKnq1dsFhnNvazwi6S/c49AvKjtNVy3RcZ7X+uNHtNv4B1xk4BikZnLIZj23LjRPpPGaNWfmvPfJMtyw7eLxln8cBn+yTxFn8Vtbskm0/0qosIqUtwmDNznLX74wz6hulwAAEgwDUEOvrXKdcYzNeGNGS99k6zsvldUywgrBIhjpij1yfD70EmFpch5MrcxEpEoKaw3VcWTnGOrblSuNlUp9sF9BXH8ETaxGDXjdMVrl4vii2krVPrS8BJz/v7Xw+x4yMW+Mv270vNS87HuhSWVBZHSpMiXoZE5WOLZVGRbdBWfz5vcqhyJhpyJgr79uXzQ2Tw9DGClaHPrri9TC4RVF+8w+HkdfHCGXZ3i3rjIi4n5+H3eBonKDtk5kGrkZTPJ17QZyROeY7lBoWvh+bsP5FUjyBBrxIJwx+aHZx96e2dAkWWRXmU2uLklCrJ0gakoTQtJTW+w5OXVpoYHhFCia4z7ZsQEhpE+mC/VFNFDP1cwpj7uRFBAcHYjROhgTG09/dMHQyuzvKhW8n+6FUXEYaCRoMYj/2MgFIg0CMEemviokdg/3jQhqx7976KT5wzGksmCA9cMlUq7eGLZOxrjt0hrDFBAy84xuNdROOd5lXhrlMFEFl1KQKVlJ5SKabST1xaZ5UWDhlsOEVeVGlgn9KkbHr2riJ0l+NLqtGZ1OBbt/asnKMh1vYhBErxm2tu+65iy8fshueLMpyovIIYknnv9pPAzwmfPjx12ns5WfS3jXodS93wBYJWIjg5D+kDDz+Pzd6EsK/3Dy3K9Vi4+VYS/a8b4sDxA5DC9y+zmi6Auox3rwqRoWNVieyKftYZVCoNQXEoQqOSqQgOh7ZL3tWkvg4oRIfrY2Z04OhFF1EHaEAVIAAEeoYAZPV6hjurURvSnj1OsjVapin8vn7WXLmsG4/S61rU/fYnc8vvH5T+xVTyyHjd5ZjvVWkNZTm1SEN6VC513KARkzW0Eq+4CSxdPU0zSAFJ98tlZDrqEu7Yab0YOmf+XKOFm31MrSLcrRceDyvm/8CuPXwauR67OV9cgR7u0tN4DUVfC7B7tOSw38t+4q799gPxyhnOzUPGbaepTmt2/lvVf+vfRxeXJcWUtJiCrUOtVnEXm6KfwEyjUshUtqlcGn2KoO1jwJ8YFJoCASAABH4lAcjq/Uq6Xei7PuPFjZS+cxeO1Pl9pmLqv95prXJ6tHoSFqX1kRZpkYGrSX6XQpPS1hXIS0hOjW/6SUspwh4qoJYkJpTL6m9cPyTuuvfFmynDjFfMky/7mFzZ/FVWXxx37/JRoz9m6bmk6mzcZaraIvbHS082tjq0dox823RfF2RxeRMa6Wt0FqIyQ1u6UauwipYqUpOa1jvjPLqzODsPa3JSU+OiX+629iyetcd5auNzSTUpIamIjN70b7eKCqlOmPJ/9u4Dnqr2DwD4ucteGZkZpaJJ+6V6U4k05N+gTUulaGgpJVRoqrdXvalECyntQSJbIXtcIyJ7r3DH/9x7zXIvUbn4nY/P++ae86zvc557f57n3HPEkKTw7DqExS7GmUatr21AuAf9MFPd6XlY827ndKGVr4uZr0MSJCfNFEOIH3NaVoYpjfXoLCSPAFcH76YDaBB1agsHgAAI9JYAToIg3FtlQ7kdCVCqCzg09qybqqwsU3rjxNmoyrYzDFQyTklvqa6qQHE+VXaCmkp9anwZqSo7S0hnzc41akMoDRhe0aFKE+bPlMyL/4ymJDfyLdiyVIPnw0Err49Z9bPMjCbhEi6ce0y7gIlP1dJq1XgeLAe3gLjcKA1t7TnyBe7Oj2Ormz7leFT2+P6zes7M6QKB7i/y+vncFqk8D/+3wXrdEZSMLzUiU/ac2Knx7cH20/45tJXEAbn9ofMQw6e8xEwT8/zGo5gaakNhIlHGwGaNoJ9HSE4jtepLrvjiNbsWyjeWNAwaNe/oqW1qNQ+2WL/KrGexi9FZFBLvlG16M0ZzFBViRJWnzJjUkBpHmywkiMgNHSYpPXnBor85kt5EVvHyUSoqvpERjmGL1htw+p33ymgO4Ajy2mtXCwRf9EytExi3cb3aKCm++ka8iOLfB06YzcL67rXyTqptGilUCueEFUvmjyDkFuKHTZg29hsxoaxpYnJADSJ0rpNLTH6krJjUMLXVWgolH0KTqbyEmsoqEvPAeUCOLWg0CPxxAVjA/ePknRVIynrt9enQwcnU2B2vv34fYdWnnD3oPN5u/dl/FlPKk6+bv3RPb6BURR1atjF7v8m2bdZr0XtKkCvTglze3fX/QkIoFalBOYhiqKtfGZWCCbrwukpDOSyefpc+HCcXVnTaXru19PsxNxSmhJ3daeeR3xpY1ueEvMnRM8CE+Hzp5GrBzlrUF/Y3fv5ny3bu4+Ym/7gcxjR8Cbu71vhS2IC+W9qfOQ/bXwpHrQy4dDVSd5/D8ruzXb40VkSYr9hVYr1r77kL/Eh1qr/z8mP/+VfQzl4q8130s41a6u+w7c6JU2usPDcgpNLE6+bP76XVU/BS66962gxjnJDbnz/ZjmRcUll4g35pYCcbhVd1l91ycRwpL/rh9h1nn7T9vk5d/MnDd0fZGPzrZEAuS7ph/vpBRgNjIA2sQYRwKG++EmQkzqBcaO+6EKnxXDvPcGAPpE5OLNgNAn9CAKPCo/gnyoEyQAAEQKAvCuCHrA7xMy81man9Bm5d3hc7EOoMAiDQwdUlgAICIAACIAACIAACINA/BCDU6x/9CK0AARAAARAAARAAgQ4EYAG3AxR4CQRAAARAAARAAAT6hwDM6vWPfoRWgAAIgAAIgAAIgEAHAhDqdYACL4EACIAACIAACIBA/xCAUK9/9CO0AgRAAARAAARAAAQ6EIBQrwOU3n0JwztEdcHcsaK/7BkVvzzD3vWB0vufAPNTFCMw6/iT8rh7R0dz/kSzWaX61WX9RLXgUBAAARDoFYGBF+rhJJb4pETXED3M5H/F/aMxHPJzjN0evikhRtck+cfePmI8XqBnqBzKRg4e1jryhF91QvzyDH9VxdgqHwyPgpbdrScFaD8Sw1Lcj24cxduzfmSr1v25ynRrfDE/RbHcsiOkCVxyo+h3+u7qxirVry6rq3UaEMdhBVXMHD1yUqNrUv0jLq5XE4IxNCD6HRrJ9gK/Itph+0a2rSBeYcGqySWh7/F/bdJTuHKeWN+j2hMUVzqGHJ9W5OO890p0PlZ8nNrEwXgyy4el96g8SPybBDB8Ex3u2BnkupqsfkXEDV+5/8hFV86sOUd86c9mgK3LAr92fKGPfim4s1kvQb4xOeFnbl/8J1N1mab/H4iTMrx89eTYBMdDu4KRCbuO7np2qUrV8GFW01Pi+j8AtBAE2FVgoP3RxaGwapUC8ea5/S6fFZbqjeFq6hesiLrDHe/PceiMDjo55xvsuHG2WFMUzGIXTkzznMW0b4/N/t5x2eVNyKtXjxyOHrGJrGFkyiE50/KKVy6aYar/B6dt2pJN03Rohva3PFMiw2llEYPiXPYskW6aseCdZJ1DDAtYK4qIGQQwKkMMuaOGPuyMtuFFJpqecUtLRFN9zHrqsHfqIPoaL05G90Ie8d1NLcaSL1Zcyz6H+OqimiDatywzxAqM0b/q+bKIVo3oqljfMBu1QW2eU4UT07j67mOlv62uWP8/S7iGztYWK713ysk9Iikq9Mkx6ydFgqoa0r9sZrXpPOv3/2Myvmjt5pDQNLb19Quspp1vkQX+V/Yr0U575qcoVmrFHfTMrIx+/P7RCy9N/lY8zCC9GxE1YZbTuJtf4xh+1C+69PocEQzzVN0ri14Ck6GH7oFB1NotXCP190+lvrHYd8Qr4LmX45rDIdRpmzaP+Jnp2NbM4F8gAAK/UGCAzepxDdMxkCRefJmZjPdOMlu9coRjZCxtXg/LIz9rilzFDYtNAWWcMlO27t3x1FNUe7FDYCWV+S6MqPqy2ZzZJ6+Gtn0eJqNzMIJTTns4biK/sdx9PhEzcq35Di8P4QULT6JP8EQz1FBTbHC1Wu5fhBWfZHLY6I5TicrSW+iDOGvjHWdp31Pd4eQyPczQ8L84WtXIFbl16P8wvONt7jlvbfA+bHo+skpUY9NB65tnKuZtcc4h5zw9tmaS+5OzdhGp2699m/evvWaJs6FFaAU6ucgiQ4R77Anng0s/u5ga+adWYQUl5RTIWTVt5rA4ZdS1ZHA4RE1zCMfjouanwP/Cc4+dsmooTv9CFZ49f7TQp8hyCqfCtHEiVQlBX7vwbFR2akWv14XZ+EJw4vrn3W/MowTevrY1LCOvjiAmxZeeR3vCM/NTlFL40lw1ipsgrnPHZWO7plErgh9Gk2ao6ylyhtEHCYesxtIhjcFno9FHPWOZpepeWSyHHgyiNv2CHaw6ZQiSbBXFZ3zb24rrxuxdr+OQ47PGC+OS8mFer9fHJlRgYAsMrFCPQ0lXWzLl5ss8ciMmwD3TbKvucMvYeFokRd/yIoN8Q9B1ojC/BOoHbyMrLZd5ngXMd5VJjpTEfEsK7yAgwMro7Nwk8dlWx/IcsQFBgt6lEkY/Mz42/3rg/XxGhrnhfi8C0bLC47jVEo9qzRB1I+ZRqN9K0tKrhcoakcayzPSM5Nb4Ciuls9tEOsJYw+ZeIW19OCKVOj3EYfMcCZdbuSRKhd/J3SdVbp+5dnx0uYbmFyf1i7HV9KCNeYYIQhCSEUDKiJFvQ2MK0HfimGhGxVr+WxvrtN62ShMTeimmn8d5aJPJX58ZH5323MY5car/sywp3b8bz222fV0Oq7ffnRSsf2U6vnhVjR3m8YVZ6y52y0HHQ9uNxSlKqspLrULwdUUtI7Q5IaU43DuIdFJXZ+ixuKRvCMfwhYsU60KOhJShY4PCNBWr4cC8LJZDDwZRa1/ihWWEkJrY/AZelSF8fJwyAvVJX+sQFRkBAgKhHuuBA3tB4HcL9P+luTaCnENXaIvEPwjMRSMbUu6zZ9kSmvOUOvpiX12Gv28RZrSabMsCUUsubXdRKBSE2mE0wD3sr6FI0Ye3zZ9r9dnB74oQ5ak/ZkguycitRfgk+Vh/4ZZLUV0RxzHFOTiSvuwbXR3hoIFHxBSEGUuM1Lqk0zvPRMhoG43Ps9t7K+6Hz8YOzqPKsIPWbykGlzJC7t61WKWj+EMNyCUBtxyPuETQAsF+v+G4peWk+QqCr3l9KqaQydyjVuhPl4X125/qd6bjCy81QUUUSXR59fW7OO+nsm97MKU49Gpg/ZAF85XRazA4h63Wkyn3uRdQ1uFg7HYhjIQshx4Moh916xKPLJqvrGUXWvvjPngFBECgVwQG0qwep9zsRdKEoVYvKqxarDUWyv8TnfLDBxAVQacHMJg2V661pGjdRSpML0a4FVQG499m0paivt/aJ+8oL3oKKvo1Dgy2w7Jac8SgRyClz9dtuJHQ+kUSamP51+YJN7z01BmjcFQyIq//v1GX7D9Vdf6pV59y33ysj7KO7kIDva2eRqaR18z0zoaXDITA7vuuQvgm73HdxH1BZ489Ogt7y+20+8GIW0fsnwUa+FV2DvlDbgPzBebji0KloIroydmdrdm//QCiVvi7vC2/pbNe2YmIX7FaqvDurZjKNtl3nKqz8jtKxXrowSBqMSWV5pQjvOISPFhScX42elWM2GApbqQspxIug+jsvIP9IPC7BQbQrB5BdramfJ7HisVLJ86n/+hZeFXI6M2S+nHuhiA5aaYYQvyY8+PKZZtdlOKIFx+pCts3Thz0PWNdemgGIjp5zpCmS5I5ZdVniSFJ4dldmG6j1tc2INyD2k+y1aUFp1OFVSfh81PSMpKbfjLTi+vpH04YvrGb7x+fGHtCf4pluNTGM6f/bnuTgw4zbDqxGkqSvG+cNlg8b7J9xsTNB41k28T+OJGZ60xtDaeIs55w/N2n6J/IHyesOEK4MTe+kBH0U8oSQpPIXLLSP8x0/onK9NEyWIwvUv6nuBJEad2c5q8mfd9EVqcotaEGHYb8IjztT0NqZeRtl1wRg43z9I21RZJvX01sN1iZpEIL/tmyWA89WktgENH7k1L4KeILorRiMuPNBys6WWsskvcuprR7If735wj8DgIg0H0BnARBuPup+1JKnMSKIybTky/tcYv/WlpWjP4UFWPU124ek+XqmVDFP27jerVRUnz1jXgRxb8PnDCbhfXda+WdVEvFCjLdRanKjMPN2GG0Vnc4ro7MISo7aq7eikW4+MAvdZVfcsUXr9m1UL6xpGHQqHlHT21Tq3mwxfpVZj3CyLDuxc3b6bTAgmOIppmeWMRdj/dN82kUEu+UbXozRnMUFWJElafMmNSQGldKqsrOEtJZs3ON2hBKA4ZXdKjShPkzJfPiP1eiU4L8E0+6HZ8efni+fcTnxIgs5dVH1w+JefgutY4xSdFhhmSET9XSatV4HiwHt4C43CgNbe058gXuzo+brvJDEB6VPb7/rJ4zc7pAoPsL+hX0/Xej1jdKLVuzeL5UVVpeHedg5eW7Dhgrld46c+tdMXxOda3bWY6vogJi+fil2wx11UWoFALfYJmhqlP+GvstNaGMwcvkFKWXTCXjlPSW6qoKFOdTZSeoqdSnxjNSkcsySH+ZbtRfIN/42tr6v+bTnVFdpqmQny2L1dCDQdT25CCVfambbLBz1XjOwnIu5cX21otloh23XI+HGxZ1bQjBUSDw+wQGTKiHFZ15Yv/sspsXnRNrm5dpSI2imtt0ZT7de5qAH4uGeoJVnBNXrDSaP0kk0/vAjpMeX2ihGCMy63AXgjTmRbx6/pV3otaSbav/t3rRrIn8xZ8+hAZl1lDqc9++SsaOX2BqbLBmnjIm0nWryUUfetzQWaiH1H2JyxQap7fSYMP/dJZMGJQf+tonu57akOf39EP5YNWlK1dtWrZAX2uCPJL1/OWnQgrvVHOnf8aHGm36LxL9Ai21JiWqVH3jptUCETf98xiTVB1miOVX+Hvx8u0b1hqv/J/h/2aNJUVfOWZ9JbaqJbShkPHKWnNHV7074+yb0mL2+07FXs2ZVBz9Oo1z8uL1h4xXb9HXnkyI/++oxYmwpkikV6vWNwpnPb7iqitjXr+JbpCauWDptpW6K3W1tUYLlka99fn8jTEYOzxFm8YpuTQmBTdh3rIt+guWTBQpDHvzJouRilrxOV/RYMGYkruGtu++/2OEaSom44vB3GEqZkOPjOBgELU9PSlVsX6R1UM1d25bvU5Tscbvyvp97nFNf3D2jdMYagkC/VQAo8Kj2E+b9jPNwg9ZHeJnXmoyU/vN93dqZbHrZ0qAY0EABEAABEAABEDgzwt8f5HZn68BlAgCIAACIAACIAACIPCbBCDU+02wkC0IgAAIgAAIgAAI9L4ALOD2fh9ADUAABEAABEAABEDgNwnArN5vgoVsQQAEQAAEQAAEQKD3BSDU6/0+gBqAAAiAAAiAAAiAwG8SgFDvN8FCtiAAAiAAAiAAAiDQ+wIQ6vV+H/zuGmB4h6gumDtWtP8/9OJ3S0L+PRGA87AnepAWBEAABLotAKFet+l6lhAnscQnJbqG6GEm/7ufQ8yhbOTgYa0j/+MD4HrWhH6VGic4eeXhFz4BlcTomuR3H5y2zhUbEKFxr5+HGFGdt8TopP0juWjnE8foXU9riHc3SsIbUx8cXgN1EPXBroIqDzQBeEftnR7HKyxYNbkk9H3Z8E16Cpy9UwcotVWAQ1b39O5J5S8urN6wc/3pIMIcY8+z86X6f7DX++chh6jCYASR1Zk/Eh0GHHLLFskgiPBIMfi7pO8Nz4E6iPpeT0GNB54AhHq90uccCqtWKRBvntvv8llhqd4Y+oQGfcMKjNG/6vmyCJ1bIkZXxfqG2agNwnS6C8GLTDQ945aWiKb6mPXUYe/UQYwohXeSdQ4xLGCtKCJmEBBHy7OGGHJHjbezsmj7cWIaV999rPS31RXr/2dJQ6bbXPWlq84/ehoY9OD6ye0PyjnGqA3r9zE4G5yHBGF5/pz3oVxz9IdxcA7V0uOJepnLO0KYEephJXXsYqI+0s/bcKKn1ebRvIxzESuibn/LMyUynL4rKM5lzxJpDsY4QQcRs1ToARwSMw7/6/GFNqEeXfXp1QeXPZrCTac3s0GEZjho4qrzTrdiQoPK6QOzJvLmrmFNNWQ+YGEQDYxB1Hzawf9BgI0FfvfiIRs3vRerxjVMx0CSePFlZjLeO8ls9coRjpGx9bT6cI894Xxw6WcXUyP/1CqsoKScAjkLfbAt610Y3vE295y3NngfNj0fWSWqsemg9c0zFfO2OOeQa+MdZ2nfU93h5DI9zNDwvzhaIeSK3DrWGTJkOGXUtWRwOERNcwjH46Jvvcj1R4qmkhqbn42M5ZGR4kFyk5seIfxHiu+VQtjgPMRwi4jxVAdcjxhhsVj5UeNcroD/gkdZ6onxYJFqCkIpi39ms/9RblEtVnj0OosDF67Vx845FV6HYHnkNdQUG1ytlvsXYcUnmRw2uuNUorL0FrERhWSaCiMw2cH94mbsO5v9l8KLEanZ+/9b95cy30WfUgqLQYT+1SP+l/6WucitkycsiMWVZIKQMD75K60kVgOW3qMwiPr9IOqVkQuFgsBPCkCo95Ngv+JwDiVdbcmUmy/zyI2YAPdMs626wy1j42nxF0FIRgApI0a+DY0pICNITHRrcUx3YaV0dptIRxhr2NwrpKDHR6RSp4c4bJ4j4XIrl/StJC29WqisEWksy0zPSG4bsDHNsKnM2lin9bZVmpjQSzH9Ps5r26scw5cfu6Be5LT6UTrpV/Q2++bBDuchXkhSAE+q/Oj5Hndh+1EKx5s98aWHsILifHiksAFBvmUHPchmCMbFY6avuDpJXQIfntnUMbnhfi8C0YdWh8dxqyUe1Zoh6kbMow0BJqko0to7NknlnF580C4JzRsR4F6HrBOi585yEDHKr0t74PHSr6Z9d8Igau/R/NvAGUQdtx9eBQE2E+j/S3NsBo5Wh3PoCm2R+AeBuWgwR8p99ixbQnOeEmOtsDLsoPVbisGljJC7dy1W6SjytV4txnQXl6K6Io5jinNwJH0xK7o6wkEDj4gpNK2BMW0/0wybU5BLAm45HnGJoAWdA2RD53aMLgTYjvI7sPVwRFXzLF8/bTxbnIc4AXFeLLmhKuHJM2TKbHzg7cTqbyQsnzAP/czHDf7L8Lr70y9xkdUJ7z+dmsaBcPASfnzPIpdk5NYifJJNw4VZKq5hasMwJeGvPtPivPYbDKLvRbr/+4AaRN1ngpQg8CcFYFbvT2rTy+KUm71ImjDU6kWFVUvZGgvl/4lOQT+B6lPum4/1UdbRXWigt9XTyDTympne2fASWrDFbBcGg8Ugpc/XbbiRQF8Epm/UxvKvnc3FMcuwJZMB9g8s/7Qdl5/vFHlgumbny/wfw4F+xsEe5yGOV5gX29jQ+C3Jds2qe5ic2FqMFBnDI8SFhnoEOYMHLmZDg6/tNX6fVI6RmL7HfZ9ox71AJVMQdBzQLmtlngqDI+AQSiOpgxAeBlHHrj/96gAbRD/tAwlAoHcEfvwQ8ma6AAAgAElEQVQLuXfqMXBKJcjO1pTP81ixeOnE+fQfPQuvChm9WVIt3zlsKEnyvnHaYPG8yfYZEzcfNJJtjcc72lWXFpxOFVadhM9PSctIbvrJTC+ub/5Eo9bXNiDcg9rMELZqd5Rh816cyMx1praGU8T7/xdR0SbjpBfaPNop9sDE0GQAxHloRMQe5yGWX5gbS2ogUSmVn5OiM6vIaCzWiOEW5EajNi6Fv8Zic/6zd3YPiY9NjAuJyevsrxfaqcs8Vf2X2DxEbMJfg3/8A7fTQcTqDQoGUctbxgAbRKzOCtgHAuwk8OObHjvVrh/WBSc2Z758bbRdQFJGNaN5mFLvBPLS+VOlnD9ncataWmiUh4ZHZ5fXc0moqw5GyNkFdbTLjxA+ZrsouS8u/Gt83dTNedDle8+TShq5xYZLVXi7+X9puqKpMTcmrc5Y47iprn1QMV5cjv+T1520euYZNqnzjNvqarlMDFkiFKuzI6orH7J9ubu4x+w/9DfGz/pmtpCSEuP6LWrN18zMyn66es0m52EGpyAPllTRSD/FGRv6/RgKgY+XE4NUZkWmIurrdq6KdYvMrsOIjBNv/ao683OtnmkqUuYTl7c7jtv+a0G+/C4LLzNTXxlB8ug5dTqImJTHdFQ2HQ+DqD8PIiYnBbwMAuwnAKHen+0TrLDq/5SQJLeM2pZyqdWxgVnIPi11Yc8cChdWdNpeu7VitBtHNBSmhJ3daeeRT/scxHEy3UWtijq0bGP2fpNt26zXovdRIVemBbm8u9sS6lFL/R223Tlxao2V5waEVJp43fz5vbR6DPMMGVWrzwl5k6NngAnx+dLvFzMRwuBxaqII/+yjb2e3nhAfD2pqeBW3iUL+7LnyO0tjl/Mwk2sQF9JYSG67pkpuJCM8aASIFGfeMdgheG7Xuhu3zdBrWan1VV8TA9NqOgm+G5inIuU9W7eW//zxjfYX9bCk4sTP6KIGlUylFd7ZIOq4M1iMShhEDIF+PIg6PifgVRBgRwGMCo8iO9YL6gQCIAACv1MAN9ToXtyBstXTtnqXd3D53u8sGvIGARAAgT8pALN6f1IbygIBEOhFAR4lo1Vjq9Ky8mswwsP/Nts9vDrgQGh//6Z1L3pD0SAAAuwhAKEee/QD1AIEQOB3C+CFhs1Ysl1vpBB6fQSlKif48Yn5p30H0L2Efrcv5A8CIMCmArCAy6YdA9UCARAAARAAARAAgZ4LwM1Wem4IOYAACIAACIAACIAAmwpAqMemHQPVAgEQAAEQAAEQAIGeC0Co13PD3siBU36B1VHjuaLQf72hD2X2CwEYRP2iG6ERIAACnQpAqNAJEVZqxR3Gs2XR/76ax9/J4V3cjRGYdfxJedy9o6MZz77tYrLWwzgVl+xbO3cUevMx2EBgYArAIBqY/Q6tBgEQ+GmBPhoq4KS2PY2uuT1L4Kcb/LMJKIWvD0xetEJ90820n0iKFZt3OjUxmhEjVkW/CLiwWVO8zbedsdyyI6QJXHKj6PdKhu0PCXBIL9l9Jig4nNYvib4hFzfMFG4dAFhBFTNHj5zU6JpU/4iL69WE+ujY6KolVmSOm39Y858xQYnuNqZTRdjpG/kwiLralX/0OOaDiHeSdQ46str/ZNmO5/mj9YPCQAAEfhRgp7f2H2vHDq+QKnISKxB81YTW51t0oVoEISlpAvHYGss3dbxSyrP3Hd7+SLZm/Iq76YyHlZEL7mzWS5BvTE6o6kJmcMgvEiCT8bwVPpctbbLrBJU0D5jv9OL8rLTVrwS9gS5OyvDy1ZNjExwP7QpGJuw6uuvZpSpVw4dZnTya4RdVrDeywRCEFKQ5E85v3fq+mkNIXtNo76nbygKLVtkms8vDUWAQ9cZ50VmZzAdRXdJ/i/Ufok+0o29Ysb/3uG6T8PHPqe8sS9gPAiDwmwX648wFh+RMyyteuegfl6n+H5y2aUsSWhE5JDSNbX39Aqtpf3pGFvhf2a/EmFfDSurYxUR9pP9JGk70tNo8mrfHNjVZqamxsVGv3C+a3szBKE6Uo63WNq0IV0Y/fv/ohZdmuxVhrIi6/S3PlEj6tBMxKM5lzxLplmk/DN9w3Yv3X5ehu5J8fHahj+9s3fAiE03PuKXR5hE/Zj112Dt1EK5pJ3bQxFXnnW7FhAaVM/7ajry5axgDBCswRv+q58si+utVsb5hNmqDmt6maYlxYhpX332s9LfVFeuxRNu69uK/yfkPbG2O333zOijQw9neIrCBZ8RoKToG10j9/VOpbyz2HfEKeO7luOZwCHXaps0j+v+ca8Xn5Oj4hLCg57bmJ9+Rhq1cIE+/pIDFaYMwGV84Gd0LecR3N7VE6eceVlzLPof46qKaIBb992LnSuIr+7HNlyvwq9+PjU61UO7CM21hEPXigOmoaOaDiFKTExX1KTSS9hORLWKwZnThnYN735b03z+XOvKB10CAHQX63aweRnDKaQ/HTeQ3lrvPJ2JGrjXf4eUhvGDhSf8KKoIT1z/vfmMeJfD2ta1hGXl1BDEpvvQ8xjwbpSz+mc3+R7lFtVjh0essDly4Vh8751R4XU87DYPjkRw9x2SRVMnbM7G03CiFL81Vo7gJ4jp3XDZ+lzuWR15DTbHB1Wq5fxFWfJLJYaM7TiUqS28RGxGc6Owr96x0S58f2fU6nSA/d9W2Mc2JMbzjbe45b23wPmx6PrJKVGPTQeubZyrmbXHOQd9jceJ/6W+Zi9w6ecKCWFxJJggJ45O/NtKSco894Xxw6WcXUyP/1CqsoKScAjmrps0Dojhl1LVkcDhETXMIx+Oibz2FYKv0OF6FqfpmkwkZHgGZtDks7GDVKUOQZKsoPuPb3lZcN2bveh2HHJ81XhiXlD9APqio5PpvZASLw9CjfaanDfPxRc55emzNJPcnZ+0iUrdf+zbvX3vNEmdDi9AK9CHCxRHPo5CjWjOkLONo3txDZ0zmrn7/LruLZxUMIrYaPU2V+X4Qtakjhk/N9IAu5fVyxyj0fRc2EACB3hbob6EeVkZn5yaJz7Y6lueI6GdK0LtUwuhnxsfmXw+8n8+lauwwjy/MWnexW86Pa1TfsoMeZDO6Iy4eM33F1UnqEvjwTEYg2L1uUnGJiHJhJM19ssY+uBj90EMQUlVeahWCrytiFkbmhvu9CEQXdsPjuNUS0c9HUTdiHkZWZ7OeINFimZXjZ7RKge+rZ252EqLnjZXS2W0iHWGsYXOvkFZARCp1eojD5jkSLrdym2pfl/bA46VfDaMqzf8lCMkIIGXEyLehMbQHBsREt9+N1MY6rbet0sSEXorp4ifydxmw569YcV1n4hlVdOapPuaK1sW4alo18cIyQkhNbH4Dr8oQPj5OGYH6pK91iIqMAAEZCKEelltUUWebqRZn4TWfNuFXB6cNq/FFplT4ndx9UuX2mWvHR5draH5xUr8YW03/pCcXhd2ORRwXzJD9LzONRBiiNlWiIeZRUleuiYBBxIbjqMNB1FpPvLSOzQqR2NNOPmX0tzzYQAAEelmgvyzNNTNyD/trKFL04W1zLFefHfyuCFGeKsuN4KUmqIgiiS6vvv4Y56HTGIP/Mrzu/vRLXGR1wvtPp6ZxIBy8hB7qEC1X609bsk7H5JRToebtx3YrJJqXVbvU6+SSjNxahE+SD03FJT9FFimKDsn/MfTkUlRXxHFMcQ6OZFwQXR3hoIFHxBSE26xbd1ReZdhB67cUg0sZIXfvWqzSUaQV024jlwTccjziEtG/nhxFKX5rqbZsi8HR2+FyW31vG6twt2l0XeKRRfOVtexCuxKEdITa515Tc/SvJkYWh7q76pHuHjGx/MTsDxBGy1iML9oB1Lqk0zvPRMhoG43Ps9t7K64lM3LB8ztR5BGLFsjgEZzwX3PkSFHPwiq7MuEDg4gNzymWgwjhUDZYN7khyOHRF/ryAWwgAAK9LtDfZvXooIw1qGbblsvPqBT0o4Xa4XocQc7ggYvZ0OBre43fJ5VjJKbvcd8n2uPOqflCJMaVUZGEuMDoWpVgmz3zJB66Ns20NX/Ktbk47sfyqGQKgsHSm0OrPAaL7eBwDHoEUvp83YYbCa3XP1Mby792NhdXn3LffKyPso7uQgO9rZ5GppHXzPTOhvf7K2vI1bnxMejPh3cZ/Im3V5uNczUK/1aaU47wikvwYEnF+ejcLlZssBQ3UpZT2e8/q+IcNm1+X1ZXUZxdUNnQldCL+fiin7946akzRuHQUSav/79Rl+w/VTXlSSnwv/um7ozRQtmrd4ctH0WNsIwq6dKMDwyiH98Xev+VjgZR859HXMPX60lX+Z1827UO7v3GQA1AoP8L9HDeiu2A6tJDMxDRyXOGNF1QzymrPksMSQrPrkNI+Z/iShCldXPafk2jqQFcCn+Nxeb8Z+/sHhIfmxgXEpP3XZxEaaxHP/V5BLi6CYbF4zBouEYLNhkbtaEGLYJfhOf7ubSOSevSQ9IR0Wk6Q3+8D19dWnA6VVh1Ej4/JS0jueknM724visf3A0lSd43ThssnjfZPmPi5oNGsm1if5zIzHWmtoZTxLtWxY4rzs6vkqlo+IxejUi7gPJTxBdEacVkxh1WsKKTtcYiee9iSjv8w4Cd2/SzdavKTYtPyUjL72Kcx2J8oSVj+MZuvn98YuwJ/SmW4VIbz5z+u/WONZTS0POPS4av1NdQXzgFib7xvvinbWEQ/Wzv/oHjWwdRU2FcQzUXDv7m/yiu8g+UDkWAAAh0SaBPz+rxSY9WGt5ytxJSZW7q19qcF5eub7965D9b0tnnibgRa/YYD89/sOAlbRGy+tO1Y4Ga/9jcfqp00zU4vaAeLyguiY986JHRUJ8VmYqor9u5KtYtMrsOIzJO/LvvBlKqMmNKEEPDDWvLw6qEJPBRj9BUnQnzygyVG17JJSozbsWOvVPIn/a+L2r5eKNUpoflIaabt20u9SsUkOKM8rqXziJDSs6Lf5y3XzV3uYg/647evkB48mAEYRxPyX1x4V/j66ZuzoMu33ueVNLILTZcqsLbzf/Lj4u9bWvMp2ppoVEeGh6dXV7PJaGuOhghZxfUtc608Izb6mq5TAxZIhSrsyOqsynCzizYYT9ebPruVbJfEj7n1yJCshPXmS4RLfK+mUBbZfyW4nE63ODiKQcrbtdQRMXsqBom3PZaKoseYYcG/fk6oOch0/GF4Z9gdWnLkLcHJ6IXlyJHTWY9vHn6wDPtw8+aZndqP9y8k2hg6nwcwUYc7PKUDwyiP9/LrEpkMYjoyXDik6YNQYgnEr+7NJhVnrAPBEDgNwv06VBvtLnv01afBv8dspuDqyoizFfsKrHetffcBX6kOtXfefmx/2hfv0U3Uq7Ldv2CjSb7lhtfW027r2dNftxty9cPMhoaMu8Y7BA8t2vdjdtm6LwZtb7qa2JgWk2beYe6+JOH746yMfjXyYBclnTDnJaKxQJUY3lePmWO7f1Htmgx30oSP3qbrrh8M7tN8FWfcvag83i79Wf/WUwpT75u/tKdVaiHUCsj9i03ybM03Wp1dhc6EUWqyPz4MrWGVgVqVdShZRuz95ts22a9lhe9Br4yLcjl3d1OQj0cJxdWdNpeu7X0uzg3FKaEnd1p55Hf2qb6nJA3OXoGmBCfL/0k4sFyCw+ZtMzEWEEMvYyxriD6/bWV9s6t58aOrfzWFvvtHfciVYmvHBdZPurHN9Xr9tsKldn4wvBOMbXZxvdm5TGfPNq4KXxofcbI59gFM8+AY1GMZdyGz4+sXm300KY+uBFSxGLwNFcOBlG3u+n3JWQ1iGilcsqOk0JKfYhVXejg31dLyBkEQKCdAEaFRxFIQAAEQOAPCBBGbrsfoR80S/t8dH+YJv4DYlAECIAACPRcoE/P6vW8+ZADCIDAbxfA8suPUuLHDBq/4oyZsPdO11iI8367ORQAAiAAAi0CEOrByQACIPB7BbjGbTr9Rl+CUpZ032rLbt9+/yXv36sJuYMACIDATwrAAu5PgsHhIAACIAACIAACINB3BLp575C+00CoKQiAAAiAAAiAAAgMXAEI9QZu30PLQQAEQAAEQAAE+r1Avwv1sAJjtx45bD627eOu+n0vQgNBAARAAARAAARAoEOBPhzqYXiHqC6YO1a0/bMcsILjNqxfNleSDb5vghGYdfxJedy9o6N/fMRFh51Bf7F7qZjnh+bYIRSrFLAPBEAABEAABECgnwj8iVAPKzr3ZGxMZA0xuoYYSnziaLdUWeAXlMuhbOTgYa0jj94Ot6cbRni2XXIiWj3aT8VH75c2yycL9riKWG7ZEdIELrlR9JsUd3XrXipWuf9CKFbF9Id9GK4R/7MjEv3+nQizwv2hP6ENIAACIAAC6NPJ/wQCh7DcMJ7ME5ts3lMlJ8w1OGR3V1tpy6xTH8rZ5YbqGIKQ1BDCZ4dNR55W8kgpz95nYfFmGFVl7YMePS+BXHBns16CfGNyQsvD27qg3b1UXcgYDmEpgBcdp73L1GT33xIIUs7ySNgJAiAAAiAAAn1IoMdTV11uaxUxNjbo/auLR7fMPBk/1NDSbETTXBdeZKLpGbc02qTax6ynDnunDmpeksVK6tjFRH2kT7aFEz2tNo/mZdSXd5J1DjEsYK0oImYQEMeYjQu5o4Y+FKxpm37iaQktVUj8rd2Lpbo471eTmZQUFf3h2d0z6x1SOSbrzRZr0mFeQwThkNA0tvX1C6ymFRdZ4H9lvxLaLqzUijtotSujH79/9MJLk7+tElZE3eGO92dGtZN8gx03zhZjRNysUqE5MKsGmqH9Lc+UyHA6VFCcy54l0k22LKGwAmP0r3q+LKLPZVbF+obZqA3CtNYUJ6Zx9d3HSn9b3WaHLvd1HzyQc9hO+11zax6u2/Uwrw9WH6oMAiAAAiAAAkwE/sisXvuyG9K8XQL2n1mmLWuXnNbAO97mnvPWBu/Dpucjq0Q1Nh20vnmmYt4W5xz0OZqUsvhnNvsf5RbVYoVHr7M4cOFafeycU+F1SG284yzte6o7nFymhxka/hdXj5ZArsilPbeeseW8vWLxKrtOeMKOIxvvXsofp38vo83jZ5lYtLxMra1Eb+fPzY2nBT4YFjXEieufd78xjxJ4+9rWsIy8OoKYFF96HloSpfCluWoUN0Fc547Lxu+Kw/LIz5oiV3HDYlNAGafMlK17dzz1FNVe7BBYySoVi2qgGWqoKTa4Wi33L8KKTzI5bHTHqURl6S1iI0so7rEnnA8u/exiauSfWoUVlJRTIGfV0J8VzNg4ZdS1ZHA4RE1zCMfjov7+fIP6FCsdzWNUKvfYfXbfdRj8CgIgAAIgAAJ9WKAXQj2EWvs1vhCZOlyUgGSI6uw2kY4w1rC5V0hbzY1IpU4Pcdg8R8LlVi4aMX3LDnqQzdCNi8dMX3F1kroEPjyTRP1WkpZeLVTWiDSWZaZnJP8Qh3z2e/7QH102DU/in5lwRGe6sHsGPf/ONyyH2EjNY6bjyLHnfArQcBMrxbyGnKrGDvP4wqx1F7vlNLTPmlSVl1qF4OuKWsPP9gfkRQb5hqA1DPNLoH7wNrLScpnnWcA8FatqMDLODfd7EUhrchy3WuJRrRmibsQ8CisogpCMAFJGjHwbGkNraEz0dzi1sU7rbas0MaGXYn7w7dyx7x1BpbaJc/te9aHGIAACIAACINChQG+EerSKNC0UcimqK+I4eJ2DI53bVK9AQZiAoKEebvBfa0/tWjpvlNQgbE1RNQ8HksdL+KklZ3JxBjrXN1RGEId0HuqNdgqOdKJXozLCWW/XXXRWDEFY1LBAaoKKKJJ45NXX7+K8DqWZvViX4e9btMFATZbbs6Ca2UGsqpFLq2brRi7JyK1FhkvyocvgLKPbyrCD1m+f2FzKmJf0+PGz2x5PXqdVoyFf25wCbjkGMK0S7AABEAABEAABEGB/gd4I9TA8UmPEkIK0kkYEg8FikNLn6zbcSKAtwjI2amP5V3QeiSBn8MDFbGjwtb3G75PKMRLT97jvE/1pUXIjGcHiMG2uQWOaRYbN2gOPq+W3/3N6aTkxoZQR9rCqIZWCzgNR24VH7TNvniZiWTqVFpFh2tSwo1SsqtH+bjO0GlEQ1JVlobR61qfcNx/ro6yju9BAb6unkWnkNTO9s+HwgFKmJwjsAAEQAAEQAIG+J9ALoR5h6KL1f+Nzzr/KqkdIacHp1Pmqk/D5DxNqv1s/41L4ayw257y9s3sKbdYsgz/vG9I21KPW1zYg3INos1e/Zqv7mpGRVJh+yMx11gMLO40PG3zLKEgdixrmf4orQXTWzZH0vP/d1FpThagNNWjMyi/Cg0MqmUWEBMlJM8UQ4secllXSjlKxqkZnrWcF1VCS5H0jyfvmpVEbb3w4cNDIc/mZzOarGnEiM1evnocNu+QWQVvhhQ0EQAAEQAAEQKDvCfy5UI9/+NgxUxtEx87St9w4NsvN+AI9gMt9ceFf4+umbs6DLt97nlTSyC02XKrC283/Cwmpz4pMRdTX7VwV6xaZXYcRGSfO1c63MTcmrc5Y47iprn1QMV5cjv+T15201rnB7vYFtTr2+u5Hix8f23I11CG0hsKihtWfrh0L1PzH5vZTpZuuwekF9XhBcUl85EOPjKYVXUplelgeYrp52+ZSv0IBKc4or3vpTbsmbtppyhOaRpJdZmaqXOm76lV+y/dGOkzFohqdtZQJFJ+qpYVGeWh4dHZ5PZeEuupghJxdUNe65sszbqur5TIxZIlQrM6OqH5/uR6GS0xumAiBW16YEyGIyCmOqakuy8rKbQPSmTPsBwEQAAEQAAE2FPgjoV5DaXZGndbh666Hkfq85PD7FqtPeSUybqpHrYo6tGxj9n6Tbdus16I3SyFXpgW5vLtLC/UaMu8Y7BA8t2vdjdtm6OMmqPVVXxMD02pa5peopf4O2+6cOLXGynMDQipNvG7+/N4vCPXQkioDLl2N1N3nsPzubJcvjcxriJByXbbrF2w02bfc+NpqHrR7a/Ljblu+fpDR0BQx1aecPeg83m792X8WU8qTr5u/dG8O9Si8qrvslovjSHnRD7fvOPukuM11dR2lorCoRifnVcdQGE4urOi0vXZr6Td4bihMCTu7084jv7Ua9Tkhb3L0DDAhPl96ci1iJ5Vjm90cypuvBBmJM+qz0N51IVLjuXaeYVgt29QQKgICIAACIAAC3RDAqPAodiMZJOm+AH7I6hA/81KTmdpvfubWyt0vEFKCAAiAAAiAAAgMWIGf+j7rgFWChoMACIAACIAACIBAnxSAUK9PdhtUGgRAAARAAARAAAS6IgALuF1RgmNAAARAAARAAARAoE8KwKxen+w2qDQIgAAIgAAIgAAIdEUAQr2uKMExIAACIAACIAACINAnBSDU6yPdhhOZcdr15j9/oTekgQ0EQAAEQAAEQAAEuigAoV4XoXr7MAyP7N9/qSjyd6PDMLxDVBfMHSv6yx4r0tsWUD4IgAAIgAAIgEBXBboROXQ16y4eh+GWm3fyhnc+MbqGGPjp+u6l8pydPr21i1n/eBha1qkbj3JT0LKiS0K9nlpqyTbfRJrpLpzUtqfRNbdnCfyYHctXmGbIMtVv2MmhbOTgYa0jT/gNefejLLGCKmaOHjmp0TWp/hEX16sJ9f7Y6Ee60BQQAAEQAIHeEvgjT8tg0Tis8MzLHvZ6+R57N1mn4oav3Lvf1UPsm/aR56Vtnh7BIv1P7eJStrxlb4r4HNtjF5xHEVVUVRMurGA8fYPFrp8qouXgX55h96oBqboogJMyvHz15NgEx0O7gpEJu47uenapStXwYRY8/LeLgHAYCIAACIAAmwr08swFfuj/TPSFYsy3O9wIiAryczczdvgoNN/qf0PQGSisiLrDHe/PcbQZuJok32DHjbPFWiNTvMhE0zNuaYno3o9ZTx32Th3EWJ9EU9nf8kyJDKelIgbFuexZIk178he64UXGz5amBtqdOPM8PDTqw1OP/w5dia6gdrKrex3Hoiw0Qw7JmZZXvHLRGqb6f3Dapi3ZZsKNQ0LT2NbXL7CaVv/IAv8r+5Wa6t9aE6zgjP0eFcketpMFGB3ITIN3knUOMSxgrSgiZhDAkCSG3FFjXPCHFRijf9XzZRGtoOiqWN8wG7VBbSZUcWIaV999rPS31RXr5bOke13wU6m4Rurvn0p9Y7HviFfAcy/HNYdDqNM2bR7xg/xPZQoHgwAIgAAIgEDvC/TuhzhWcOKc4UjqK9/8pskTUl7Q/RRk1NwxwlgEyyM/a4pcxV0L3fXbVhx7Ujptx1PPvTMEaMEIhne8zT3n40pp50w3zl5j4ZQ/yfrmGSMZWrCHptJQU2zwPrl8g4n+IY+c8WvvOK0cTg+lSBXpceWYCQbzR/N8v0TMYlf3+ohFhhjBKac9HA8qpZ3dvXPpXrfUUVu8PPbPEqRXCSeuf97d21ydFHBt646dizeam115/i6P1K4OOJF5h5yfric5Gm4++qESnfxkoVEb7zhLe5Xhswqk/LXhkqUT56M/K82j62gZco894XxwKfmVmZHh38s2LNn/j/P7rBp64MvYOGXUtWRwOGk1zSH9PuLBDladMgRJdo/iM74dWPBgvein13GI5KzxwnB9Y7tzD34BARAAARDoewK9u4CLE1QQQRqzc0pblsnI5Rn5jYi8DPoZW0LXzIsM8g1BnxUb5pdA/eBtZKXlMs+zSEJnt4l0hLGGzb1C2jpvRCp1eojD5jkSLrdyGV2QG+73IhBNFR7HrZZ4VGuGqBsxj4JUR5pvPMd/cV9E2IoX7ved3J6+y65rim1Y7OpepzLNECujs3OTxGdbHctzxAYECXqXShj9zPjY/OuB9/O5VI0d5vGFWesudstB9/24YbgVN150uDAl5eDyA/8mMgIzrBRzDdK3krT0aqGyRqSxLDM9I/lbmywJQjICSBkx8m1oTAHqHxP9XXG1sU7rbas0MaGXYtom+7FS/eAVvLCMEFITm9/Aq7r9fmAAACAASURBVDKEj49TRqA+6WsdoiIjQECa/wrpB62EJoAACIAACAxEgd6d1fsZ8boMf98izGg1WW6ES1FdEccxxTk4kr5KG10d4aCBR8QUhH/44gG5JCO3FuGT5GPMzlAqYt0M5sxU2eGeLrf64Vsf3z1TRJrmbVjs+plath7LLEPuYX8NRYo+vG2O5eqzg98VIcpT0XbhpSaoiCKJLq++dhjnoXlPP3njomaRpcGey01xHvpa1zXaN6Qy7KD1W4rBpYyQu3ctVukoNhm1HkQuCbjleMQlghYIDpCtLvHIovnKWnahtQOkwdBMEAABEACBfi/Qu7N65IrPpQhBnDaHV8WIJ3CCQyUISEmbeb6WLqAitMVKDLrQicFgMUjp83UbbiTUt+5uLP+Kzj59v+JGJVMQ9PA2K7bkGuJ794PvH15dfiH85Mkjbxfubpm1YrGre2dCBxnSM2pbH/S35sypFHSSkcoisiJ6Pyxf/L/j57Z/MrzoX8b45gorDZa1rk+5bz7WR1lHd6GB3lZPI9PIa2Z6Z8NLWBTPMru+vJNUmlOO8IpL8GBJxfnZ6GUAYoOluJGynMrGvtwqqDsIgAAIgAAIoJ9pvYpAqYj0TUNGaM+RaIrQ8JIzDEYiSX7xP34BlyA5aaYYQvyY8w2pSwtOpwqrTsLnp6RlJDf9ZKYX17e50qzTdjVmhwSkISJjh3B9f+EeuqTMdFen2XZ4QNsM69JDMxDRyXOaL4DjlFWfJYYkhWfXIaT8T3EliNK6OW2/ptEuw/wAx/mLjj4UXv/svvlc9HpG2tapBrW+tgHhHvTDrB0tcUNJkveN0waL5022z5i4+aBRy71n0H04kZnrTG0Np4h/Hz532MY+/SKl8FPEF0RpxWTGHVawopO1xiJ572Jaryzo082DyoMACIAACAxggd6d1UNI6Y8uexifP3vZnHLudSp2xOp9+ydVvjbw+oLOpjCqNnHTTlOe0DSS7DIzU+VK31Wv8kkIJffFhX+Nr5u6OQ+6fO95Ukkjt9hwqQpvN/8v7b/A8F2/4iU0T5oqpQd9jMutovDLzTXcOh4hHkuiXfHGYldTJnzSo5WGo1f/MTZSZW7q11oW94NhniEl58Wl69uvHvnPlnT2eSJuxJo9xsPzHyx4SVsmrf507Vig5j82t58q3XQNTi+oxwuKS+IjH3pktKzoUus+P92yogHxsvO6UTl3zdUP1Z1qNObGpNUZaxw31bUPKsaLy/F/8rqTVo/wqVpaaJSHhkdnl9dzSairDkbI2QV1rW3iGbfV1XKZGLJEKFZnR1Q/v1zvW4rH6XCDi6ccrLhdQxEVs6NqmHDba6nMFtIH8DsGNB0EQAAEQKCPCfRyqIdQSgJMVlgUWW23v27Ah9RmhNw32nHpWUlrwEHhVd1lt1wcR8qLfrh9x9knxbRd1KqoQ8s2Zu832bbNei165xByZVqQy7u7nYR6WDymXnCKma2hHO2ZE/Vf497bbDzjmE5bo2Oxq6lDR5v7Pm3t2wb/HbKbg1sivx87nUWG1IoI8xW7Sqx37T13gR+pTvV3Xn7sP3/GTV9IuS7b9Qs2muxbbnxtNQ+abU1+3G3L1w9aQz1aUY15r7cbSSk+MX1glTRxf0BxJxrUUn+HbXdOnFpj5bkBIZUmXjd/fi+tHsPJhRWdttdurRjt+7UNhSlhZ3faeeS3ytfnhLzJ0TPAhPh8GQARDyq/Yyu/tcV+e8e9SFXiK8dFlo/gpno/ntjwCgiAAAiAQF8TwKjwKLJpnfFDVof4mZeazNR+wyKmYtPKQ7VAAARAAARAAARAgA0EevdaPTYAgCqAAAiAAAiAAAiAQP8VgFCv//YttAwEQAAEQAAEQGDAC7DxAu6A7xsAAAEQAAEQAAEQAIEeCsCsXg8BITkIgAAIgAAIgAAIsK8AhHrs2zdQMxAAARAAARAAARDooQCEej0EhOQgAAIgAAIgAAIgwL4CEOqxb99AzUAABEAABEAABECghwIQ6vUQEJKDAAiAAAiAAAiAAPsKQKjHvn0DNQMBEAABEAABEACBHgpAqNdDQEgOAiAAAiAAAiAAAuwrAKEe+/YN1AwEQAAEQAAEQAAEeigAoV4PASE5CIAACIAACIAACLCvAIR67Ns3UDMQAAEQAAEQAAEQ6KEAhHo9BITkIAACIAACIAACIMC+AhDqsW/fQM1AAARAAARAAARAoIcCEOr1EBCSgwAIgAAIgAAIgAD7CkCox759AzUDARAAARAAARAAgR4KQKjXQ0BIDgIgAAIgAAIgAALsKwChHvv2DdQMBEAABEAABEAABHooAKFeDwEhOQiAAAiAAAiAAAiwrwCEeuzbN1AzEAABEAABEAABEOihAIR6PQSE5CAAAiAAAiAAAiDAvgIQ6rFv30DNQAAEQAAEQAAEQKCHAhDq9RAQkoMACIAACIAACIAA+wpAqMe+fQM1AwEQAAEQAAEQAIEeCjAJ9bjl5p268Sg3JbqGGF0S6vXUUksW31QSh8TMo/89zCNG16S+j7q6fb4koWkHTmrb0+ia27MEelglSA4CIAACIAACIAACIPBrBJoDuHa5cSlb3rI3RXyO7bELzqOIKqqqCRdWkGmHYHjHW99x3EF5fnC7XTxW2ejQrgd3eOYuOhtaQ/019YFcQAAEQAAEQAAEQAAEfplAR6EeXmT8bGlq4M4TZ15V0AqK+vC0qTysxDzTbbIZ1trH/0lvRJCIsM/c459tPq7lOv9hIT0UhA0EQAAEQAAEQAAEQIB9BDpawCVVpMeVYyYYzB/Ng2lfU15VnTH4zFdPstE4j7Z9y3jj/hk7WUeZn31aBDUBARAAARAAARAAARBoEugo1EOqI803nvOT3xcR5uV5eMVsWe6miA8/aKQMByU/Lb8p0kOQxuL4rxQOmaFiHc0OAjIIgAAIgAAIgAAIgECvCnQY6iGUilg3gzkzVXa4p8utfvjWx3fPFBEcgmA5+TmRhrr6Nmu15Lo6EsLBy9lxPr3aNCgcBEAABEAABEAABAa6AIsQjVxDfO9+cMsyVYuYsdtOHhnDhVDqK78hnLzcbabw8Ly8eKS++htloENC+0EABEAABEAABECA/QRYhHpNlW3MDglIQ0TGDuHCkMpSchswUkrSHM0N4RCfIIP99iW9kMR+TYMagQAIgAAIgAAIgMBAF+joGju8hOZJU6X0oI9xuVUUfrm5hlvHI8RjSej9VMjRzz41ntFeMfx6fMI3lI5XeaG+TGPI2cTqFkc+6dFKw6uafyVV5qZ+rYUpv4F+mkH7QQAEQAAEQAAEekego1APi8fUC04xszWU40cn/eq/xr232XjGkXZ3FST/zYUzKXcOOZ/FXHyegFdab7ZWOvnKirclrcHcaHPf5luzoMc3+O+Q3RzcEvn1ThuhVBAAARAAARAAARAYoAIYFR7Fn2s6VnDspn27D+qrilPz3ru7HD3z4EMFTNv9nCEcDQIgAAIgAAIgAAJ/RKDza/W+rwalIu6/IyYr3QqQhoKA534xEOd9LwS/gwAIgAAIgAAIgACbCPx8qEeveF3E6a1bnnDvcfMpCnE9NYmXTVoD1QABEAABEAABEAABEGgj8PMLuG35OAYpTJ0oV/vxfWQ5rOHCeQUCIAACIAACIAAC7CbQs1CP3VoD9QEBEAABEAABEAABEGgj0M0FXDAEARAAARAAARAAARBgfwEI9di/j6CGIAACIAACIAACINBNAQj1ugkHyUAABEAABEAABECA/QUGUqiHEdV5S4xO2j+Si9YvHKN3Pa0h3t0oSSfASW17Gl1DbPsT5DKNB93DKhWC4Zabd/KGdz4tYeCn67uXynNiaNlhhGfbJSc25Vbx0fulzfLJgvSCeCf8ExZddktHokUeO2jJf6E1oZbqrL7HzDFu/4uaSNsZtBrRN57JLtHRCXuGc9J/Q6tx6saj3BRaiSWhXk8ttWQZN8dm2i6s6NyTsTGR9CaHEp842i1VFuhzJwOGa8T/7IhEv38ncjexoP/jkF6y+0xQcDitaYm+IRc3zBRubhhOcPLKwy98AirRXcnvPjhtnSuGa06I4VHQsrv1pIAGEpbifnTjKN4+59GKAP8CARAAARAAgSaBjp6W0V9xOEQVBiOIrM78kY4pMVS5ZYtkEKRgpBgByatvanLCmbkHI5qf7UEqy6I9/I1FKqzwzMse9nr5Hns3Wafihq/cu9/VQ+yb9pHnpQhBSGoI4bPDpiNPK3mklGfvs7B4M4yqsvZBVk3cpVvpRnsMV8n5nMukPYCEIK29dxZXnIPbh5ruwnMpW96yN0V8ju2xC86jiCqqqgkXVpDb5NZhu4TlhvFknthk854qOWGuwSG7u9pKW2ad+tBHvkuNFx2nvcvUZPffEghS3g6OTMbzVvhctrTJrhNU0jxgvtOL87PSVr8SKsIhq3t696Sv9y6s/ljEOULryAFjT96c0UbPvpIRDN9Ehzt2BrmuJqtfEdGu3H/koitn1pwjvhXU7vYKpAMBEAABEAABdhAYSKEeQVieP+d9KPcc/WH/JlO09HiiXuaOGCFMQB/+1tQV1bkJycTK9v3CPBV56P9M9IViTP/ncCMXDayiwlKRMX4Hrf539Y3zF3oeNZlJSVGFlKjoqHj8hARLvdliD2/mN6bec/TcdHHPjsk3zEPKqbyTN22YUP5skWdWQ3fPB7zI+NnS1MCdJ868qqDlEfWhzaPp6Jl20C7GjFUVMTY2qCwm6L3fy8zrkRaWZl7Ljic3VQQnpvGvx+mVmFdrlx99XMRmN9PhHLbTftfcVPd1uyTsL8xuJ0fOf2Br84DxUlBUxVSthyNGSxH8ShqQhky3ueq3SY30tgRGfh023UdbbRjns6+1CNfQ2dpipfd2OLlHofF9UrL1uOUeahrSBN+KbndLu0rBLyAAAiAAAiDQSwIDaI0Kwy0ixlP96XoAftFi5XEL5nIFeAVX4oXFeFgaME+FFZw4ZziS+so3v2kCjZQXdD8FGTV3TMuCYXOnUmsr0QCCwI2nre5Sy0OtL8TyL96zZRgHQWah7QqBwDP/vu/B7BGpIj2uHDPBYP5oHvrqcXe2hjRvlwDSkGXasowVYTQPThl1LRkcTlpNcwhHd7L8rWnqU6x0NKeZXXuR/Y3ptBuOV0FN32wyIcMnILMpYKM2xXlo3bA8MlI8SG5yHn1XQ3H6F6rw7PmjhWhnA6fCtHEiVQlBX2nTrrCBAAiAAAiAQF8WGECzejghSQE8qfKj53vche1HKRxv9sSXHsIKivPhkcKmSGDq+Txic29+3Cez0rcMYZ4KhyiIII3ZOaUtS6Xk8oz8RkReRhiHlLacFFgOsZGax0zHkWPP+RQwDiVleJ44vdrd3GJpcbXxpHTnad55pJ6cRNWR5hvP8V/cFxG24oX7fSe3p++y69oFQB206/vyqLVf4wuRqcNFCUgaY5KzNtZpvW2VJib0UgxtIZvdNiqVaYyHxnHius7EM6rohXj1MVe0LsZVf197juHLj11QL3Ja/SidTk/++sz46LTnNs6JU/2fZUnp/t14brPt63IWRXyfI/wOAiAAAiAAAmwpMJBCPQFxXiy5oSrhyTPktgneQyOxWoGE5RPmabkyH0k8p334IyMsIFd9oa/k4pinqu2sR0c7BUc60Q+qjHDW23WX2DJJ9I144ZDbSo/9l5Dci8vvJPZ0kZBSEetmMOfhcPWFG9esfvjWNNJpzwrHiJKWGLSDdnVU9+/mBMklAbccAzo6kO1foxS/tVRbJqUwaub2PVt9b2P+XnnlU11zrTG84w1Pv7QY4XfA8HBEVVM0h+OWlpPmKwj+z+sTYYI4mXvUCv3pN6Oef4Z5PbbvbKggCIAACIAAS4GBFOrxCvNiGxsavyXZrll1D5MTW4uRImN4hLhaQ72qLzHxSe2v1cMxTUXO+4x+/UKcNodXxQiqcIJDJQhIScs8X4bN2gOPq+W3/3N6aTkxoXX2D+0RanWM66nYtVfxrk5xnYaMtB6kkCgIDt+61ozBEXAIhdJm2olcQ3zvfvD9w6vLL4SfPHnk7cLdLbNxHbTr+7MCwyM1RgwpSCvpH7ENuTo3Pgb9+fAugz/x9mqzca5G4XRnLP+0HZef7xR5YLpm58v8lhibb/Ie103cF3T22BMbkFtup90PRtw6Yv8s0MCvEmb2vj9X4HcQAAEQAIG+JMDyOrW+1JDO64rlF+bGkhpIVErl56ToTDQ8ozQ2YrgFuVle4MY8FaUi0jcNGaE9R6IpVsRLzjAYiST5xZc2fYeh7mtGRlL820NmriXzLOw0BrXDppLq0aiK3Ni1pVtSWW45wjt0nGhTWQSxkUrcSGlO5Q+RWWN2SEAaIjJ2CBfLdn3nRRi6aP3f+JyHr7Kav6KCTmiKzFxnams4Rbw1Fu5cme2OIKMLvRhcUxNw0gttHu0Ue2BiaNImzkObKqw4QrgxN75pJZ9SlhCaROaSlebr001nu76ACoEACIAACPSCwMCZ1cNyCvJgSRWMr18ypGkX6RP4eNFb4TXdYIVPerTS8OabrSCkytzUfBapSOmPLnsYnz972Zxy7nUqdsTqffsnVb428PrSPvyiVsde3/1o8eNjW66GOoTWdG+SiFIQ9DCw0fLY6Z3Fjn4ZGLklu7YrNUaahJagUSVeQvOkqVJ60Me43CoKv9xcw63jEeKxpDYl/diur4zL7/iHjx0ztUF07Cx9y41js9yML6S0riXzjNvqarlMDFkiFKuzg/a9VLbaMFxicsNECNzywpwIQUROcUxNdVlWVm4dBS82ffcq2S8Jn/NrESHZietMl4gWed9MoC/fco/Zf+hvjJ/1zWwhJSUhenuoNV8zMyvJhZEh6QSjM1arSDcjvlDFZxmZz8FlOXwo7logzlYyUBkQAAEQAAEQaCswcEI9DNcgLqSxkNw21CI3khEeNAJsFhlt7tvmPiUN/jtkt35mkaq4JMBkhUWR1Xb76wZ8SG1GyH2jHZee0aKv9pOl1MqAS1cjdfc5LL872+W7QLCrpyMp9/HaDYJnD612urWegJAKE/2ObrC/TbvJC4LFY+oFp5jZGsrxo+XWf417b7PxjGN6m4Dzx3ZtDm0ozc6o0zp83fUwUp+XHH7fYvUpr8S2N9Wrzwl5k6NngAnx+dLTawm72sifOI5DefOVICNxRoqF9q4LkRrPtfMMw2qx3MJDJi0zMVZAb5iI1BVEv7+20t7Zn/4FZ8LgcWqiCP/so29nt5b08aCmhlfxt6QrS0xx53dvf+i1D10tL8sIc9x5yq75vjM/US84FARAAARAAATYSwCjwqPIXjWC2oAACIAACIAACIAACPwigYEzq/eLwH5fNuiS5Mihotw/Xj1JaSjIzPja/vYpv68akDMIgAAIgAAIgEA/EoBQj206k2u44dOHq6Q6qE+R09JF5rGt35fo4BB4CQRAAARAAARAAAQ6EIAF3A5Q4CUQAAEQAAEQAAEQ6B8CPy4X9o92QStAAARAAARAAARAAAS++6oogIAACIAACIAACIAACPQjAZjV60edCU0BARAAARAAARAAgfYCEOrBGQECIAACIAACIAAC/VbgJ0M9rMgcN/+wGmI0/Sco0d3GdKpI22/x4iSW+KSguzzM5Nt/uRfDOXTe9ntPfMtpCUNTvU6ZjuejFY6T2vaUkVvLf4NcpvE0gWM45OcYuz18U4KmSvKPvX3EeLxAS5WZl9VhKq6pNm9rQg5M4mruTK7RZ4Kjs2zH0wpjXQ2m3Y/hlpt38oZ3Pq1RgZ+u714qjz56A8EIajxKiM6wGsvdmpCgvPNxTZLTEiEM87IwwrPtkhObHCo+er+0WT5ZsLm5HdQw8vlsPloJjF23Zwl0UM+Oa4jgZHY8jS66PI2enrHxal4Nr3liINfXnwWGE5y88vALn4BKtFOS331w2jpXrKVJGD4lvX/cX5fSdvmFXTKaIdzCyyJVB6wD9iWMqM5bYnTS/pH0YcQxetfTGuLdjZKt7yMdj0oWpyiLXQiTs5ehz/LNgVkHoQP21I1HubT3qOiSUK+nllqyjDcqvNyeV+3fiF5vGI7ehRtt5NBNn5re8VoPCF0jSUvXwahs8/bFrBL94HUs78i5Rv9cv58aE1nqtUKWMcJYDb1+0GZoAgj0XYGfvNkKhiCkIM2ZcH7r1vfVHELymkZ7T91WFli0yrbpuQJ4hQWrJpeEvsf/tUlP4cp5YvMNQjiGr74Ycmxy3kunLfYf8wji46epUuoamh4Vi+olnJl7MKL5iWSksizGY7gIiisdQ45PK/Jx3nslOh8rPk5t4mA8uTkVs7JYp2LZVR1Xg2kSrPDMyx72evkeezdZp+KGr9y739VD7Jv2kecVCQ8TkHmTVaTwcemMR2thhSbNkEUSXT9WNT+to4OyUF2pIYTPDpuOPK3kkVKevc/C4s0wqsraB1m0h2LQt3apKFVfaplWjr6DaQ3Lv5XVI3gOfJvn5GLwHDjkW1Vda6+wzptN93LI6p7ePenrvQurPxZxjtA6csDYkzdntNGzr2QEK6Jx5e7R+Rmu29b45ghO2W1t+vwaaaKBG7ERYZGKTdvZS9XiEFUYjCCyOvNHOqbEUOWWLZJBkIKR6JNJ8hhjndmo7E51mZ69tIdMd2uYcylb3rI3RXyO7bELzqOIKqqqCRdWMAYX6est4+VveIQXnLl6FPPvgr3+RXVFWfTB25jjtWxhQPMjpXlUtp6/qpVzP6yk9aF5HYzl7rS3r6TBcA/bdOZfO9Uc97ueB25mZOVlF9DfNGAQ9ZUehHoOPIGfDPUYQBWfk6Pj0UdNJYQn1E8NOb1ygfzp5FTaOz2HwqpVCsSbFvsJp0NX6Y1xcoikx2y4wXPPHZpS99hs9v73xfQ3hUD/V+2sq3MTkomV7flxYprnLKZ9e2z2d3OqV68etR7CrCymqVpm89oX0/a3jqrB/Gj80P+Z6AvFmP7P4QbtAWVRYanIGL+DVv+7+sY5J+h5KmIxa8qgO+lFtAZj+EfrjUISz0cUoAcy/gLuoCzG1EjN/9u7E7gmzvQP4JOLQABBDuWSQ4rFelFdj2q3rYiKilWqUrxWula0ilivarVULWit9e9Rra5brVZdW1EET1TUFRAPFCmHcoT7VC6BcOfayQGEmEkQ/Ejo/5ePnzbMzPO+z3wnb/Jk5k2SnZLyuET0OP5xMnPokwBPV/NzR581118qoqgTJNRkWFFN/lwsm6FY6rF06KL6msbmWpRhPvZA8I+zaVfnz/r2vHQvusWtKfuE25iT5K8bS7KNjityfD/CfbQj+1JRHc30vTnTDHO2rN13Opt8mU5+0tQ/7Zd5i5yDv0pqpI7qFjv95pJkmdgbFkTd0xv3qeOBVNFET87j8MJ+/UzI01/SUo9iVHYoPzWP3lwR5TBX1xXTdIirtTh6+dadV6sk2z1+qPA7iPzy3Ixyuukg8t0T7VlKGldWvpBbiZteZKS9kLZLMxqx9vQUdsT6dQcyFH4tkHpUdtNBpA6Rpj9y9Z7vzE6NdTueWNfmF70xiNS5YR0EulLgFS/gKqUqFjY2kCdLGDRZxaDrONnbknskPDv1SliKudvsfmzp9nSz0TPH6uT969A9WZ3Xvv2lm42Z6cqmjKLsS21U+7pu31Z0o2HjnIj0qzeeyc+5CYrv/JFGvOM20IQuLIi6mkofOGuIoUzGYID7aHZuyO1nCj9Mq7EXcV01WSmz9BRPvWkMUtxAXYaimsoGMYvFIOhGDv1d7AzoNAabIa6tqG85gci2GTPRhsGwHj2+j84rddvVG4vldR6ZB51jY8UhClOLJa/LNN0e+nSi5lmNrGwV89IfZBC9hjsaSI8RVVRX74129U/TMzXn1Px5JJI59eP+g6e46UaGxFQzTczlvyNNMSo7tA/qHr0anhyo+hNUZSZV0oZ6TxrAUXiPQ7X1S8vpRiO37ZltGvHdF2HF7RzI3XYQvbTzzQvopu9vnG1DM5p6NuZhbWpMavBm30HSqTiSGwYRpRtWQKBLBTpe6tH1zPrNWOE/kV0SHpEnPXmn4zzN3TItLLxYyC+IPJ1tNn2ak3SyGtPibUtaQ+aDIuqnx5G7i1tmw/zu1lMaZakuirIvtVEEYe4dmdQ84Sbp5BfktSjFm4o02m6g+BfDyMGU4D8vqGgpjoSVWWQtZ2pjwiAv+twOztZ5b4qzdDKc3sDJww3zrl/MVxBQ3xddx7z/pE3+g4WJFyMkZwKbb4pRF+c7qj8pqy5DIVnViRlsFmdQ4KlTMSd8B+sy2UxRdVlNS2d1iQcXBB3bvXV9YILsejo1hZau0XGatWnPmNKDgaHSy+ii0j8f5BIDv/znKBtyRiVD38bBkjw6LF1m20GgFKWl+9ZFaTGMLXswBdWPzkQxPJZ+O03n+tnkCj7dqLeB9JFINSo7lKy6R6/6Jwfq7mri1izcdct+bez9kDMbvVxt9V6h4qMbua4P8tGJWLIpolhhREo6ox7L3X8QKWNy+o0bocN7cO3okgVzx8wLPCN2333iu2lmSi8kGETKbvgbAl0qoL5WoEht9N7bNXul63ipJ79ZFvBnveQ+u6+Xu2nyL9GSi5lE4aVLeZu9JjjvSI5vJMQiEaF4pp/dP+jC4Wl3lowMTJLPNXu6y33joxppk0JevuxKrkgS1eYCgXS99Ebdl7ooMrAqwtf36FPZtRcdx5X/DvywpU3yjqo0FNe/wn1+QVhYzrefTXbhPIgWOc4ca5J9NkLxmg91XwMOxsQdlPZUHXvY88tT5Eyy1pvCrCBRfUl+63ShV0hNuqmQV1YrZOgYDZw2oeleNNN1rvO5VKaIV1LT2qSwPPK3vZGv2rCWbE/TH+LzY/iGfrfW+WyMlU+QbEj5Zf52+/+s+zntc2mWkl3lX3tW2/rCrSpKS3ZIO9Jg9OitTxc28Z5cuEScXMYMHvu0xkFANzDhSGYlUI/K1568hmFO2Z+oKvGE97hzTmM8Fs6bzZV+qQAADnhJREFUe+6mf9zBVV57Y8uVSjcV4TTjUSv+PVMn1O+Hiy9PZlDzvNGtB5EKB7p+bwsDIj/s9/BbklklaU832n4cvnjR8B5h4ZXyJ2sMIhVuWASBrhXoUKmXtOPzRVEv6qvK8p5XNzUXY2w716nWrL6br1RtbtmlsR72++PTBM+5JWI9h2EWrJuZ0rKFRtc14PRgK7wR5OUnJKe0nasnKMksI/QcXHoxb0pmVrW5qelLTZSkiabytKcp8bKzVLr0EqXflVWRhlLPCn8Kq3IqCFZvyTk8nuylgmHU14JFlMvO8/Gzr13hrvT2ctZ92DTBo1fBycu5bXqj7CsrcP668zX2S/f/OKOS+6T1nKG0a+pZQSoSVZehkPG8RsQyHj5rdEPYmi163/86850ShrCiqFrZWkW7Wr+IbjjK7+fLy03P+s9bHv6sdVKVuDbuyJfOvxlaWRmz6nkcz18ereVf40rfqJA3qiit3903mCBD30Sfzm/iN6QEzZvzO60gsY5mJaRxjHXJUo96VCpMa2t/ruoevQIa9ZOD5h6Etdyo0+ujzh2atefBtm3f3PRYqem8Nc3g3YDtnnrX1625oaospBzLmnPpbluIBU3kM0QPCwPygEsmQvDLckrIzzv1Iv+ulDx1YBB1tyOKfP9/CHToAi6vMCM5LSvjWWudR14Hs3Udb18c7PXxjGGTpP88N4RU2Xh+ZMUiROUPL8eK7Jd8NtT4FboTlcVeeSR2WLpwWE/lKHV9UUe97gMqqoq7kUH0cx9nIf8uD6bl373fJlJuJUs+IEhWlXkRJzN7engOHjZlvFXW+eDsdr7g1RdlZaUk3/x6xfHyCRu2j31p79u/H+oyFNWUVvJ7uCz8e33olfT48/8Vus4YaVBXVNFSupMfHzH94B/+QT4jenezr19hWHsEhi43P7vMZ5lindfiJuAV5RWU9Jiww+8t3vUjofKrcZqi2s/+V96SbmiiRydf7cWi6pyU+GzyPY6Iz6fpGZFXQtWMyg6JqH30vo5hzs+7G5lBmA7q0/zhWso0dV0Wb1pifHd14M3mebmUmyqv6K6DSHk/mv8W1+YkFxB93N41lT0r6PYZZEvUZ2VL6zwCg4jKDcsh0LUCHTqrpyJlhvm4SfZ18dsjU7Jk12EJWkXYE+GMSSOtDufkFl1efWBWtN/+CPaBnZeSixjvyKawtbZjYD3A2an5y1YIQXVhelGdoPDiqgOfRC47cNvo8K6LCQV8w74uQ61iDwbe56jriyoqph0TzlSlQf3RU0Fm6M/Bi3f/389rRLuupdP7zV371d+qr3mHNM/I4xeEBmds8l+5VWCWvP+q7ISm2l1WzFBck3hkZejH5zf5Hrq3414txYVsxSOhKnk1GTIr8mutPx2Vd9g/u6mBduV84/wvbfJ/qGg9qccZvOR4wExzYrpx4mS/x+3QU/Gw6IpFegO/+vpD2q3vjuYZOzsbSzMQ1xZlZ1cLyQ9mWPdzcrRx+Nv77ovmvmeddmJ6wH9LZAdYTVRX7ISW9klnG3HogirZx5tlOUpm4rMM9NlMtc8Asm1VPUTl40vVKjWPXoJymFdSD1hy1vD4bf7OmXceJRXyRIZ2bj5LhhDcTSmy0cUytbOz5JjYkl+zSbPo/7aTWX0pN7eSfOvD6jN91yLb/OCfUo37DpQ9oMg3chX53JIG+bBUlbwsje46iKgffw3p5w4mz9v6zZZ1VQeuVtrO3zzHpvCPBbLZNxhE1G5YA4EuFXhNpR7d5N1PnImUE1mt3/NG1irRucTaiWNMzuSW1sfvW/Th8+VBny/8dbo+OVGsMj/hwmOFL6YasOaGwtceNN32s10UwxPXxf20cEzBsiDfT/e5+zIIQWlq9NEEHaaGvlRH0Yl2FCsq06A+PqLyyGVeG0o3L/3hiLcBUZd194/P/PZdKm95rRHkXgv58+v1w8WJfteKlC+MqujrXpuuxNWR+w7FTVu7Y9Yp12OKH+igSEhFgzE86gybyrJLCaLh0nXpDMKs05eLvvR9kV7eOjGwseDu9QJPb9rdiPx2no+kSOzNLmb1GjzajDB0/fama2vHj9aPHxtSJmK/terw8SWmVZlPHl3Y4vvTmYeFzXumLurN5q/VvdF0e+oS/BKh4jsPIV9IcIwMzNQ+A1RId0vlQ1S2wypXUT96CYonB/ICgJpSj86kNRqNWBHkY2dIbthYlBQVuHDnXtmbMKbVgkNnAh1l2Sy9fGEpkbXPxeNXLp9uPspjBHkKa/bO6NmtB6fstE//bxLkT3cqk5du200HUet+vnyPn7Pfd6neljXL9h/bSGvKv39q/uJ996UQGEQva2EJBLRDgObCeUs7MkEWEIAABCAAAQhAAAKvWeA1ndV7zVlpTXM0XfO3+5rpKU8WJE8dND3Pziqqb8d1Va3ZFyQCgb+8AAbsX/4QYwchAIFXF0Cpp9ZM18nn4rk5Viq2KT04Y+qaRKVP8KrYDosgAIE3JoAB+8ao0REEINB9BHABt/scK2QKAQhAAAIQgAAEXlHg5UuTr9gANocABCAAAQhAAAIQ0FYBlHraemSQFwQgAAEIQAACEOi0AEq9ThOiAQhAAAIQgAAEIKCtAij1tPXIIC8IQAACEIAABCDQaQGUep0mRAMQgAAEIAABCEBAWwVQ6mnrkUFeEIAABCAAAQhAoNMCKPU6TYgGIAABCEAAAhCAgLYKoNTT1iODvCAAAQhAAAIQgECnBVDqdZoQDUAAAhCAAAQgAAFtFUCpp61HBnlBAAIQgAAEIACBTgug1Os0IRqAAAQgAAEIQAAC2iqAUk9bjwzyggAEIAABCEAAAp0WQKnXaUI0AAEIQAACEIAABLRVAKWeth4Z5AUBCEAAAhCAAAQ6LYBSr9OEaAACEIAABCAAAQhoqwBKPW09MsgLAhCAAAQgAAEIdFoApV6nCdEABCAAAQhAAAIQ0FYBlHraemSQFwQgAAEIQAACEOi0AEq9ThOiAQhAAAIQgAAEIKCtAij1tPXIIC8IQAACEIAABCDQaQGUep0mRAMQgAAEIAABCEBAWwVQ6mnrkUFeEIAABCAAAQhAoNMCKko9upnbtsSEuFpufC33HvfC3u0z+vdouxnDYnpEGrk2eIU9szkDgynHH0tD2vyrPvZBj+YtVEXRzSf8mP5UHsKLvxK5Z9H43i1tSiJVRUmW69lN+P7X0EJJGvHl90IuBky0lcUxrL64qJTGnWOjOLIsKKM6DYkGIAABCEAAAhCAgPYJtCmr5OnpmNg5crK3fh4YJbYc6ub99fZT7s6+H33/sFIk24DpMGXO8PJ7Ucz3Pvd0+NdubqNkcV3k17NGGtIJWs8pOw99SzswZfXtMjEh5BXVyFtVGUWwjK2sWdxN8wKu1+tb9Xddu3FpqG3tEK9TmQI1fRGEbv+A337wJyI2rdoeUywye+vd0SYlVUIF3ic73dbH8uQLBC9yGyR3NUYpNIC7EIAABCAAAQhAoPsLqCr1pHvF4yYm3nmRcCfqVnj2kbgNAStCZm5JbZKs0XGYM8eBe3TDV6wf783xHHhwR5ykjhLVFGYmk/+nmw6qIwjas5Q07nN5aShtT3WUdBVRm5uenvhCnJiYnG/1Yexnw+zYzaUeRRTTdIirtTh6+dadV6skDTx+eFHWUst/awqfpHKr2y7UHKXUCP6EAAQgAAEIQAAC3VtAxQVcpR1qygg7FinoM9Pdli1do+s42duSeyQ8O/VKWIq52+x+ssUaGDRG0Rgcq8ETl021Kr95IbFe3hpVlKAqM6mSNtR70gAOTUPHCqs7FtX+9rElBCAAAQhAAAIQ0DIBzaUeIa4rSi4hejuZsSS56zhPc7dMCwsvFvILIk9nm02f5qSneZ/UR7kci31ckxrDDfluAf3Sih9iyuSnA6mjauLWLNx1y35t7P2QMxu9XG31lCu+kbuLW2YN/u7WU5ahxijNO4ItIAABCEAAAhCAQDcSaEepJ9mblkqK3dfL3TT5bHQhOTFOUHjpUp7F+AnOGs/raYjiBsz9dNT0f0xe9v3BkvEnz2/3smBIOlUXJapKPOE97gMXv9OZdnPP3Yy4sWqEqTRIfnu6y91zzvvSf++tv998JVdTlEIDuAsBCEAAAhCAAAS6vwDlXL3WXaNxrAaaE88zyvlk9WXnOtWa1XfzlarNLRuM9bDfH58mncZHcaOOkn34ojafy016ISaeJEXH17nEBK6aYHHueCFDY1/CWm7U6fVR5w7N2vNg27ZvbnqsTJB+/IK88fITklOU5urJV6mJosgfiyEAAQhAAAIQgED3FNBc6rH6Tl3wIbNg99XcRoLl5DrevjjYa/HpTLLuI2+6b284ts3zI6vtaTmyBaoUWLaUUXnK29OZDBohFonEhJoopb74eXcjM4jRg/ro0hIaxMotUv3dsSiq1rAcAhCAAAQgAAEIaKEAZaln6DRo4Mgms0EffRqwcFDuicV7yPN2DKtxk+zr4rdHpmTJv0KFVhH2RDhj0kirwzm5it91orinDHPqqDxpgahv09fOqVrXzGawl9/qEcI/V0eVChm9qKNyCs3Hb/N3zrzzKKmQJzK0c/NZMoTgbkqpba3zDKwHODs1f9kKIaguTC+qo1toitLCA4SUIAABCEAAAhCAQMcFVJV6TRV5WfUTNx45vpFoLE598MeGud+HPCW/VI9u/u4nzkTKiSzy21TkN3FNYnQusXbiGJMzuaWK363SmhHdRE3U2YjK4meicUF/hAaREQ3lTx+F+Xv9fDRPoL6vs0xao9GIFUE+duQ3+RGNRUlRgQt37pWfaZR2PWDNDYXvX2m67We7KKZRY1Rr1rgHAQhAAAIQgAAE/gICNBfOW3+B3cAuQAACEIAABCAAAQi8LNDOT+C+HIglEIAABCAAAQhAAALaLoBST9uPEPKDAAQgAAEIQAACHRZAqddhOgRCAAIQgAAEIAABbRf4H1K+yZybsfGtAAAAAElFTkSuQmCC" 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4: VSS/RSS/PSS/USS 的区别

  • VSS - Virtual Set Size 虚拟耗用内存（包含共享库占用的内存）
  • RSS - Resident Set Size 实际使用物理内存（包含共享库占用的内存）
  • PSS - Proportional Set Size 实际使用的物理内存（比例分配共享库占用的内存）
  • USS - Unique Set Size 进程独自占用的物理内存（不包含共享库占用的内存）

一般来说内存占用大小有如下规律：VSS >= RSS >= PSS >= USS

Overview

The aim of this post is to provide information that will assist in interpreting memory reports from various tools so the true memory usage for Linux processes and the system can be determined.

Android has a tool called procrank (/system/xbin/procrank), which lists out the memory usage of Linux processes in order from highest to lowest usage. The sizes reported per process are VSS, RSS, PSS, and USS.

For the sake of simplicity in this description, memory will be expressed in terms of pages, rather than bytes. Linux systems like ours manage memory in 4096 byte pages at the lowest level.

VSS (reported as VSZ from ps) is the total accessible address space of a process. This size also includes memory that may not be resident in RAM like mallocs that have been allocated but not written to. VSS is of very little use for determing real memory usage of a process.

RSS is the total memory actually held in RAM for a process. RSS can be misleading, because it reports the total all of the shared libraries that the process uses, even though a shared library is only loaded into memory once regardless of how many processes use it. RSS is not an accurate representation of the memory usage for a single process.

PSS differs from RSS in that it reports the proportional size of its shared libraries, i.e. if three processes all use a shared library that has 30 pages, that library will only contribute 10 pages to the PSS that is reported for each of the three processes. PSS is a very useful number because when the PSS for all processes in the system are summed together, that is a good representation for the total memory usage in the system. When a process is killed, the shared libraries that contributed to its PSS will be proportionally distributed to the PSS totals for the remaining processes still using that library. In this way PSS can be slightly misleading, because when a process is killed, PSS does not accurately represent the memory returned to the overall system.

USS is the total private memory for a process, i.e. that memory that is completely unique to that process. USS is an extremely useful number because it indicates the true incremental cost of running a particular process. When a process is killed, the USS is the total memory that is actually returned to the system. USS is the best number to watch when initially suspicious of memory leaks in a process.

For systems that have Python available, there is also a nice tool called smem that will report memory statistics including all of these categories.

5：通过Android系统提供的Runtime类，执行adb 命令(top,procrank,ps...等命令)查询

通过对执行结果的标准控制台输出进行解析。这样大大的扩展了Android查询功能.例如：
final Process m_process = Runtime.getRuntime().exec("/system/bin/top -n 1");
final StringBuilder sbread = new StringBuilder();
BufferedReader bufferedReader = new BufferedReader(new InputStreamReader(m_process.getInputStream()), 8192);

# procrank
Runtime.getRuntime().exec("/system/xbin/procrank");

6：android.os.Debug查询PSS，VSS，USS等单个进程使用内存信息

MemoryInfo[] memoryInfoArray = am.getProcessMemoryInfo(pids);

MemoryInfo pidMemoryInfo=memoryInfoArray[0];

pidMemoryInfo.getTotalPrivateDirty();

//Return total private dirty memory usage in kB. USS

7:root@android:/ # cat /proc/meminfo

使用adb shell cat /proc/meminfo 命令，查看剩余的空间还有多少，通常的系统剩余空间是: MemFree + cached

      如下看到的系统剩余空间是：5616K + 158632K
        cat proc/meminfo
          MemTotal:         483724 kB
          MemFree:            5616 kB
          Buffers:            2732 kB
          Cached:           158632 kB
          SwapCached:            0 kB
          Active:           277336 kB
          Inactive:          83232 kB
         Active(anon):     197452 kB
       需要注意的是，在
setting->apps->running app里面看到的剩余空间是上述MemFree + cached +
background running app memory -
SECOND_SERVER_MEM，具体的计算方法参考：RunningProcessView.java(/alps/package/apps
/settings/src/com/android/setting/applications)里面的void
refreshUi(boolean dataChanged)函数
root@android:/ # cat /proc/meminfo

MemTotal:         835616 kB

MemFree:          251068 kB

Buffers:           42128 kB

Cached:           218088 kB

SwapCached:            0 kB

Active:           402312 kB

Inactive:         116296 kB

Active(anon):     261152 kB

Inactive(anon):      300 kB

Active(file):     141160 kB

Inactive(file):   115996 kB

Unevictable:        2728 kB

Mlocked:               0 kB

HighTotal:        121856 kB

HighFree:            416 kB

LowTotal:         713760 kB

LowFree:          250652 kB

SwapTotal:             0 kB

SwapFree:              0 kB

Dirty:                40 kB

Writeback:             0 kB

AnonPages:        261132 kB

Mapped:            66860 kB

Shmem:               348 kB

Slab:              23940 kB

SReclaimable:      13876 kB

SUnreclaim:        10064 kB

KernelStack:        5296 kB

PageTables:         8652 kB

NFS_Unstable:          0 kB

Bounce:                0 kB

WritebackTmp:          0 kB

CommitLimit:      417808 kB

Committed_AS:    3873120 kB

VmallocTotal:     196608 kB

VmallocUsed:      163088 kB

VmallocChunk:      11204 kB

8:

vmstat

[root@localhost ~]# vmstat -n 3       (每个3秒刷新一次）
procs -----------memory---------- ---swap-- -----io---- --system-- ----cpu----
r b   swpd   free   buff cache   si   so    bi    bo   in    cs us sy id wa
1 0    144 186164 105252 2386848    0    0    18   166   83     2 48 21 31 0
2 0    144 189620 105252 2386848    0    0     0   177 1039 1210 34 10 56 0
0 0    144 214324 105252 2386848    0    0     0    10 1071   670 32 5 63 0
0 0    144 202212 105252 2386848    0    0     0   189 1035   558 20 3 77 0
2 0    144 158772 105252 2386848    0    0     0   203 1065 2832 70 14 15 0
vmstat所带参数请用man vmstat查看
Procs
r: 等待运行的进程数 b: 处在非中断睡眠状态的进程数 w: 被交换出去的可运行的进程数。此数由 linux 计算得出，但 linux 并不耗尽交换空间

Memory
swpd: 虚拟内存使用情况，单位：KB
free: 空闲的内存，单位KB
buff: 被用来做为缓存的内存数，单位：KB
Swap
si: 从磁盘交换到内存的交换页数量，单位：KB/秒
so: 从内存交换到磁盘的交换页数量，单位：KB/秒
IO
bi: 发送到块设备的块数，单位：块/秒
bo: 从块设备接收到的块数，单位：块/秒
System
in: 每秒的中断数，包括时钟中断
cs: 每秒的环境（上下文）切换次数
CPU
按 CPU 的总使用百分比来显示
us: CPU 使用时间
sy: CPU 系统使用时间
id: 闲置时间
准测
r，b≈0，
如果fre，将会出现连续不断的页面调度，将导致系统性能问题。
对于page列，re，pi，po，cy维持于比较稳定的状态，PI率不超过5，如果有pagin发生，那么关联页面必须先进行pageout
在内存相对紧张的环境下pagein会强制对不同的页面进行steal操作。如果系统正在读一个大批的永久页面，你也许可以看到po和pi列
会出现不一致的增长，这种情景并不一定表明系统负载过重，但是有必要对应用程序的数据访问模式进行见检查。在稳定的情况下，扫描率和重置率几乎相等，在
多个进程处理使用不同的页面的情况下，页面会更加不稳定和杂乱，这时扫描率可能会比重置率高出。
faults列，in，sy，cs会不断跳跃，这里没有明确的限制，唯一的就是这些值最少大于100
cpu列，us，sys，id和wa也是不确定的，最理想的状态是使cpu处于100%工作状态，单这只适合单用户的情况下。
如果在多用户环境中us＋sys》80，进程就会在运行队列中花费等待时间，响应时间和吞吐量就会下降。wa>40表明磁盘io没有也许存在不合理的平衡，或者对磁盘操作比较频繁，
vmstat各项：
procs:
r-->在运行队列中等待的进程数

b-->在等待io的进程数
w-->可以进入运行队列但被替换的进程
memoy
swap-->现时可用的交换内存（k表示）
free-->空闲的内存（k表示）
pages
re－－》回收的页面
mf－－》非严重错误的页面
pi－－》进入页面数（k表示）
po－－》出页面数（k表示）
fr－－》空余的页面数（k表示）
de－－》提前读入的页面中的未命中数
sr－－》通过时钟算法扫描的页面
disk 显示每秒的磁盘操作。 s表示scsi盘，0表示盘号
fault 显示每秒的中断数
in－－》设备中断
sy－－》系统中断
cy－－》cpu交换
cpu 表示cpu的使用状态
cs－－》用户进程使用的时间
sy－－》系统进程使用的时间
id－－》cpu空闲的时间
如果 r经常大于 4 ，且id经常少于40，表示cpu的负荷很重。
如果pi，po 长期不等于0，表示内存不足。
如果disk 经常不等于0， 且在 b中的队列 大于3， 表示 io性能不好。
Linux在具有高稳定性、可靠性的同时，具有很好的可伸缩性和扩展性，能够针对不同的应用和硬件环境调整，优化出满足当前应用需要的最佳性能。因此企业在维护Linux系统、进行系统调优时，了解系统性能分析工具是至关重要的。
　　在Linux下有很多系统性能分析工具，比较常见的有top、free、ps、time、timex、uptime等。下文将介绍几个较为重要的性能分析工具vmstat、iostat和sar及其使用。

　　用vmstat监视内存使用情况
　　vmstat是Virtual Meomory Statistics（虚拟内存统计）的缩写，可对操作系统的虚拟内存、进程、CPU活动进行监视。它是对系统的整体情况进行统计，不足之处是无法对某个进程进行深入分析。

　　vmstat的语法如下：

　　vmstat [-V] [-n] [delay [count]]
　　其中，－V表示打印出版本信息；－n表示在周期性循环输出时，输出的头部信息仅显示一次；delay是两次输出之间的延迟时间；count是指按照这个时间间隔统计的次数。对于vmstat输出各字段的含义，可运行man vmstat查看

root@android:/ # procrank

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