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.cherrytree.ctd~~~
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.cherrytree.ctd~~~
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<?xml version="1.0" encoding="UTF-8"?>
<cherrytree>
<bookmarks list=""/>
<node unique_id="1" master_id="0" name="kernel" prog_lang="custom-colors" tags="" readonly="0" nosearch_me="0" nosearch_ch="0" custom_icon_id="0" is_bold="0" foreground="" ts_creation="1719579575" ts_lastsave="1719922594">
<node unique_id="2" master_id="0" name="questions" prog_lang="custom-colors" tags="" readonly="0" nosearch_me="0" nosearch_ch="0" custom_icon_id="0" is_bold="0" foreground="" ts_creation="1719579587" ts_lastsave="1719665861">
<rich_text weight="heavy">
</rich_text>
<rich_text underline="single">Building LFS remotely using SSH: find this one</rich_text>
<rich_text>
</rich_text>
<rich_text underline="single">Bundling LFS Systems into ISO files for portability: ill do this one</rich_text>
<rich_text>
</rich_text>
</node>
<node unique_id="8" master_id="0" name="topics yet to study" prog_lang="custom-colors" tags="" readonly="0" nosearch_me="0" nosearch_ch="0" custom_icon_id="0" is_bold="0" foreground="" ts_creation="1719665861" ts_lastsave="1719665891">
<rich_text weight="heavy">linux programmers guide </rich_text>
<rich_text>
</rich_text>
<rich_text weight="heavy">IPC </rich_text>
<rich_text>
</rich_text>
<rich_text weight="heavy">Avc messages </rich_text>
<rich_text>
</rich_text>
<rich_text weight="heavy"> </rich_text>
<rich_text>
</rich_text>
</node>
<node unique_id="5" master_id="0" name="LINKS -" prog_lang="custom-colors" tags="" readonly="0" nosearch_me="0" nosearch_ch="0" custom_icon_id="0" is_bold="0" foreground="" ts_creation="1719665035" ts_lastsave="1719666603">
<rich_text underline="single" link="webs https://wiki.archlinux.org/title/Kernel/Traditional_compilation" foreground="#1155cc">Kernel/Traditional compilation - ArchWiki</rich_text>
<rich_text>
</rich_text>
<rich_text underline="single" link="webs https://docs.kernel.org/admin-guide/quickly-build-trimmed-linux.html" foreground="#1155cc">How to quickly build a trimmed Linux kernel</rich_text>
<rich_text>
</rich_text>
<rich_text underline="single" link="webs https://events.static.linuxfound.org/sites/events/files/lcjpcojp13_klee.pdf" foreground="#1155cc">https://events.static.linuxfound.org/sites/events/files/lcjpcojp13_klee.pdf</rich_text>
<rich_text>
</rich_text>
<rich_text underline="single" link="webs https://www.learnlinux.org.za/courses/build/internals/internals.pdf" foreground="#1155cc">https://www.learnlinux.org.za/courses/build/internals/internals.pdf</rich_text>
<rich_text>
</rich_text>
<rich_text link="webs https://www.kali.org/docs/development/live-build-a-custom-kali-iso/">https://www.kali.org/docs/development/live-build-a-custom-kali-iso/</rich_text>
<rich_text> ***************************
</rich_text>
</node>
<node unique_id="9" master_id="0" name="yt video compile options" prog_lang="custom-colors" tags="" readonly="0" nosearch_me="0" nosearch_ch="0" custom_icon_id="0" is_bold="0" foreground="" ts_creation="1719922594" ts_lastsave="1719923717">
<rich_text>General Setup:
Kernel Compression : ZSTD
Posix Message Queues : Disable
Auditing Support : Disable
Timer Subsytem -> Timer tick handling -> </rich_text>
<rich_text weight="heavy">Periodic timer ticks </rich_text>
<rich_text>selected instead of </rich_text>
<rich_text weight="heavy">Idle dynticks system</rich_text>
<rich_text>
Timer Subsystem -> Old Idle Dynticks config disabled
Timer Subsystem -> High Resolution Timer support disabled
CPU Task time & stats accounting -> BSD Process accounting disabled
Kernel Log Buffer size set to 16 (64 KB)
CPU kernel log buffer size set to 15 (32 KB)
Temporary per-CPU printk log buffer size set to 13 (8 KB)
Disable initramfs support for all types of compression (keep regular)
Processor type & features:
Disable stuff for amd if on intel & vice-versa
Change maximum number of CPU's to fit machine spec
Disable AMD microcode loading support
keep msr & cpuid enabled
keep NUMA mem alloc & sched support enabled
disable 5 level page tables support
set maximum NUMA nodes to 6
disable memory protection keys
Power mgmt:
Disable Suspend to RAM & Hibernation if not on laptop
CPU Frequency Scaling:
Enable CPUIdle drivers for intel processors
</rich_text>
</node>
</node>
<node unique_id="3" master_id="0" name="COMPILATION-REPORT" prog_lang="custom-colors" tags="" readonly="0" nosearch_me="0" nosearch_ch="0" custom_icon_id="0" is_bold="0" foreground="" ts_creation="1719579603" ts_lastsave="1719665823">
<rich_text underline="single" style="italic" weight="heavy">
</rich_text>
<rich_text underline="single" style="italic" scale="h2" weight="heavy">Compiling A Custom Linux Kernel:</rich_text>
<rich_text underline="single" style="italic" weight="heavy">
WHAT WE ARE CHOOSING</rich_text>
<rich_text weight="heavy">
</rich_text>
<rich_text scale="h3" weight="heavy">General settings </rich_text>
<rich_text weight="heavy">
</rich_text>
<rich_text> 1. No compile drivers
2. Compile kernel with warnings as error
3. No - local version append
4. Yes kernel version append
5. No build id slat
</rich_text>
<rich_text underline="single" scale="h3" weight="heavy">Choosing a diff kernel compression algo</rich_text>
<rich_text>
LZO :
Bzip2:
Zstd :
Lzma:
Xz :
Gzip:
Lz4:
</rich_text>
<rich_text style="italic">• </rich_text>
<rich_text style="italic" weight="heavy">lz4</rich_text>
<rich_text style="italic">, a new, high speed compression program and algorithm
• </rich_text>
<rich_text style="italic" weight="heavy">lzop</rich_text>
<rich_text style="italic">, based on the fast lzo library, implementing the LZO algorithm
• </rich_text>
<rich_text style="italic" weight="heavy">gzip and pigz</rich_text>
<rich_text style="italic"> (multithreaded gzip), based on the zip library which implements the ZIP alg
• </rich_text>
<rich_text style="italic" weight="heavy">bzip2 and pbzip2</rich_text>
<rich_text style="italic"> (multithreaded bzip2), based on the libbzip2 library implementing the Burrows–Wheeler compressing scheme
• </rich_text>
<rich_text style="italic" weight="heavy">7-zip</rich_text>
<rich_text style="italic">, based mainly (but not only) on the LZMA algorithm
• </rich_text>
<rich_text style="italic" weight="heavy">xz</rich_text>
<rich_text style="italic">, another LZMA-based program</rich_text>
<rich_text>
</rich_text>
<rich_text link="node 6">NOTES</rich_text>
<rich_text>
SELECTED ALGO - </rich_text>
<rich_text underline="single" weight="heavy">LZMA</rich_text>
<rich_text>
</rich_text>
<rich_text underline="single" weight="heavy">INIT PATH - default</rich_text>
<rich_text weight="heavy"> </rich_text>
<node unique_id="6" master_id="0" name="NOTES" prog_lang="custom-colors" tags="" readonly="0" nosearch_me="0" nosearch_ch="0" custom_icon_id="0" is_bold="0" foreground="" ts_creation="1719579617" ts_lastsave="1719671575">
<rich_text underline="single" style="italic" weight="heavy">
</rich_text>
<rich_text underline="single" style="italic" scale="h2" weight="heavy">Compiling A Custom Linux Kernel:</rich_text>
<rich_text underline="single" style="italic" weight="heavy">
WHAT WE ARE CHOOSING</rich_text>
<rich_text weight="heavy">
</rich_text>
<rich_text scale="h3" weight="heavy">General settings </rich_text>
<rich_text weight="heavy">
</rich_text>
<rich_text> 1. No compile drivers
2. Compile kernel with warnings as error
3. No - local version append
4. Yes kernel version append
5. No build id salt
</rich_text>
<rich_text underline="single" scale="h3" weight="heavy">Choosing a diff kernel compression algo</rich_text>
<rich_text>
LZO :
Bzip2:
Zstd :
Lzma:
Xz :
Gzip:
Lz4:
</rich_text>
<rich_text style="italic">• </rich_text>
<rich_text style="italic" weight="heavy">lz4</rich_text>
<rich_text style="italic">, a new, high speed compression program and algorithm
• </rich_text>
<rich_text style="italic" weight="heavy">lzop</rich_text>
<rich_text style="italic">, based on the fast lzo library, implementing the LZO algorithm
• </rich_text>
<rich_text style="italic" weight="heavy">gzip and pigz</rich_text>
<rich_text style="italic"> (multithreaded gzip), based on the zip library which implements the ZIP alg
• </rich_text>
<rich_text style="italic" weight="heavy">bzip2 and pbzip2</rich_text>
<rich_text style="italic"> (multithreaded bzip2), based on the libbzip2 library implementing the Burrows–Wheeler compressing scheme
• </rich_text>
<rich_text style="italic" weight="heavy">7-zip</rich_text>
<rich_text style="italic">, based mainly (but not only) on the LZMA algorithm
• </rich_text>
<rich_text style="italic" weight="heavy">xz</rich_text>
<rich_text style="italic">, another LZMA-based program</rich_text>
<rich_text>
</rich_text>
<rich_text underline="single" style="italic" weight="heavy">
</rich_text>
<rich_text underline="single" style="italic" scale="h2" weight="heavy">Compiling A Custom Linux Kernel:</rich_text>
<rich_text underline="single" style="italic" weight="heavy">
WHAT WE ARE CHOOSING</rich_text>
<rich_text weight="heavy">
</rich_text>
<rich_text scale="h3" weight="heavy">General settings </rich_text>
<rich_text weight="heavy">
</rich_text>
<rich_text> 1. No compile drivers
2. Compile kernel with warnings as error
3. No - local version append
4. Yes kernel version append
5. No build id slat
</rich_text>
<rich_text underline="single" scale="h3" weight="heavy">Choosing a diff kernel compression algo</rich_text>
<rich_text>
LZO :
Bzip2:
Zstd :
Lzma:
Xz :
Gzip:
Lz4:
</rich_text>
<rich_text style="italic">• </rich_text>
<rich_text style="italic" weight="heavy">lz4</rich_text>
<rich_text style="italic">, a new, high speed compression program and algorithm
• </rich_text>
<rich_text style="italic" weight="heavy">lzop</rich_text>
<rich_text style="italic">, based on the fast lzo library, implementing the LZO algorithm
• </rich_text>
<rich_text style="italic" weight="heavy">gzip and pigz</rich_text>
<rich_text style="italic"> (multithreaded gzip), based on the zip library which implements the ZIP alg
• </rich_text>
<rich_text style="italic" weight="heavy">bzip2 and pbzip2</rich_text>
<rich_text style="italic"> (multithreaded bzip2), based on the libbzip2 library implementing the Burrows–Wheeler compressing scheme
• </rich_text>
<rich_text style="italic" weight="heavy">7-zip</rich_text>
<rich_text style="italic">, based mainly (but not only) on the LZMA algorithm
• </rich_text>
<rich_text style="italic" weight="heavy">xz</rich_text>
<rich_text style="italic">, another LZMA-based program</rich_text>
<rich_text>
</rich_text>
<rich_text underline="single" style="italic" weight="heavy">
</rich_text>
<rich_text underline="single" style="italic" scale="h2" weight="heavy">Compiling A Custom Linux Kernel:</rich_text>
<rich_text underline="single" style="italic" weight="heavy">
WHAT WE ARE CHOOSING</rich_text>
<rich_text weight="heavy">
</rich_text>
<rich_text scale="h3" weight="heavy">General settings </rich_text>
<rich_text weight="heavy">
</rich_text>
<rich_text> 1. No compile drivers
2. Compile kernel with warnings as error
3. No - local version append
4. Yes kernel version append
5. No build id slat
</rich_text>
<rich_text underline="single" scale="h3" weight="heavy">Choosing a diff kernel compression algo</rich_text>
<rich_text>
LZO :
Bzip2:
Zstd :
Lzma:
Xz :
Gzip:
Lz4:
</rich_text>
<rich_text style="italic">• </rich_text>
<rich_text style="italic" weight="heavy">lz4</rich_text>
<rich_text style="italic">, a new, high speed compression program and algorithm
• </rich_text>
<rich_text style="italic" weight="heavy">lzop</rich_text>
<rich_text style="italic">, based on the fast lzo library, implementing the LZO algorithm
• </rich_text>
<rich_text style="italic" weight="heavy">gzip and pigz</rich_text>
<rich_text style="italic"> (multithreaded gzip), based on the zip library which implements the ZIP alg
• </rich_text>
<rich_text style="italic" weight="heavy">bzip2 and pbzip2</rich_text>
<rich_text style="italic"> (multithreaded bzip2), based on the libbzip2 library implementing the Burrows–Wheeler compressing scheme
• </rich_text>
<rich_text style="italic" weight="heavy">7-zip</rich_text>
<rich_text style="italic">, based mainly (but not only) on the LZMA algorithm
• </rich_text>
<rich_text style="italic" weight="heavy">xz</rich_text>
<rich_text style="italic">, another LZMA-based program</rich_text>
<rich_text>
</rich_text>
<rich_text underline="single" style="italic" weight="heavy">
</rich_text>
<rich_text underline="single" style="italic" scale="h2" weight="heavy">Compiling A Custom Linux Kernel:</rich_text>
<rich_text underline="single" style="italic" weight="heavy">
WHAT WE ARE CHOOSING</rich_text>
<rich_text weight="heavy">
</rich_text>
<rich_text scale="h3" weight="heavy">General settings </rich_text>
<rich_text weight="heavy">
</rich_text>
<rich_text> 1. No compile drivers
2. Compile kernel with warnings as error
3. No - local version append
4. Yes kernel version append
5. No build id slat
</rich_text>
<rich_text underline="single" scale="h3" weight="heavy">Choosing a diff kernel compression algo</rich_text>
<rich_text>
LZO :
Bzip2:
Zstd :
Lzma:
Xz :
Gzip:
Lz4:
</rich_text>
<rich_text style="italic">• </rich_text>
<rich_text style="italic" weight="heavy">lz4</rich_text>
<rich_text style="italic">, a new, high speed compression program and algorithm
• </rich_text>
<rich_text style="italic" weight="heavy">lzop</rich_text>
<rich_text style="italic">, based on the fast lzo library, implementing the LZO algorithm
• </rich_text>
<rich_text style="italic" weight="heavy">gzip and pigz</rich_text>
<rich_text style="italic"> (multithreaded gzip), based on the zip library which implements the ZIP alg
• </rich_text>
<rich_text style="italic" weight="heavy">bzip2 and pbzip2</rich_text>
<rich_text style="italic"> (multithreaded bzip2), based on the libbzip2 library implementing the Burrows–Wheeler compressing scheme
• </rich_text>
<rich_text style="italic" weight="heavy">7-zip</rich_text>
<rich_text style="italic">, based mainly (but not only) on the LZMA algorithm
• </rich_text>
<rich_text style="italic" weight="heavy">xz</rich_text>
<rich_text style="italic">, another LZMA-based program</rich_text>
<rich_text>
</rich_text>
<rich_text underline="single" style="italic" weight="heavy">
</rich_text>
<rich_text underline="single" style="italic" scale="h2" weight="heavy">Compiling A Custom Linux Kernel:</rich_text>
<rich_text underline="single" style="italic" weight="heavy">
WHAT WE ARE CHOOSING</rich_text>
<rich_text weight="heavy">
</rich_text>
<rich_text scale="h3" weight="heavy">General settings </rich_text>
<rich_text weight="heavy">
</rich_text>
<rich_text> 1. No compile drivers
2. Compile kernel with warnings as error
3. No - local version append
4. Yes kernel version append
5. No build id slat
</rich_text>
<rich_text underline="single" scale="h3" weight="heavy">Choosing a diff kernel compression algo</rich_text>
<rich_text>
LZO :
Bzip2:
Zstd :
Lzma:
Xz :
Gzip:
Lz4:
</rich_text>
<rich_text style="italic">• </rich_text>
<rich_text style="italic" weight="heavy">lz4</rich_text>
<rich_text style="italic">, a new, high speed compression program and algorithm
• </rich_text>
<rich_text style="italic" weight="heavy">lzop</rich_text>
<rich_text style="italic">, based on the fast lzo library, implementing the LZO algorithm
• </rich_text>
<rich_text style="italic" weight="heavy">gzip and pigz</rich_text>
<rich_text style="italic"> (multithreaded gzip), based on the zip library which implements the ZIP alg
• </rich_text>
<rich_text style="italic" weight="heavy">bzip2 and pbzip2</rich_text>
<rich_text style="italic"> (multithreaded bzip2), based on the libbzip2 library implementing the Burrows–Wheeler compressing scheme
• </rich_text>
<rich_text style="italic" weight="heavy">7-zip</rich_text>
<rich_text style="italic">, based mainly (but not only) on the LZMA algorithm
• </rich_text>
<rich_text style="italic" weight="heavy">xz</rich_text>
<rich_text style="italic">, another LZMA-based program</rich_text>
<rich_text>
</rich_text>
<rich_text underline="single" style="italic" weight="heavy">
</rich_text>
<rich_text underline="single" style="italic" scale="h2" weight="heavy">Compiling A Custom Linux Kernel:</rich_text>
<rich_text underline="single" style="italic" weight="heavy">
WHAT WE ARE CHOOSING</rich_text>
<rich_text weight="heavy">
</rich_text>
<rich_text scale="h3" weight="heavy">General settings </rich_text>
<rich_text weight="heavy">
</rich_text>
<rich_text> 1. No compile drivers
2. Compile kernel with warnings as error
3. No - local version append
4. Yes kernel version append
5. No build id slat
</rich_text>
<rich_text underline="single" scale="h3" weight="heavy">Choosing a diff kernel compression algo</rich_text>
<rich_text>
LZO :
Bzip2:
Zstd :
Lzma:
Xz :
Gzip:
Lz4:
</rich_text>
<rich_text underline="single" style="italic" weight="heavy">
</rich_text>
<rich_text underline="single" style="italic" scale="h2" weight="heavy">Compiling A Custom Linux Kernel:</rich_text>
<rich_text underline="single" style="italic" weight="heavy">
WHAT WE ARE CHOOSING</rich_text>
<rich_text weight="heavy">
</rich_text>
<rich_text scale="h3" weight="heavy">General settings </rich_text>
<rich_text weight="heavy">
</rich_text>
<rich_text> 1. No compile drivers
2. Compile kernel with warnings as error
3. No - local version append
4. Yes kernel version append
5. No build id slat
</rich_text>
<rich_text underline="single" scale="h3" weight="heavy">Choosing a diff kernel compression algo</rich_text>
<rich_text>
LZO :
Bzip2:
Zstd :
Lzma:
Xz :
Gzip:
Lz4:
</rich_text>
<rich_text style="italic">• </rich_text>
<rich_text style="italic" weight="heavy">lz4</rich_text>
<rich_text style="italic">, a new, high speed compression program and algorithm
• </rich_text>
<rich_text style="italic" weight="heavy">lzop</rich_text>
<rich_text style="italic">, based on the fast lzo library, implementing the LZO algorithm
• </rich_text>
<rich_text style="italic" weight="heavy">gzip and pigz</rich_text>
<rich_text style="italic"> (multithreaded gzip), based on the zip library which implements the ZIP alg
• </rich_text>
<rich_text style="italic" weight="heavy">bzip2 and pbzip2</rich_text>
<rich_text style="italic"> (multithreaded bzip2), based on the libbzip2 library implementing the Burrows–Wheeler compressing scheme
• </rich_text>
<rich_text style="italic" weight="heavy">7-zip</rich_text>
<rich_text style="italic">, based mainly (but not only) on the LZMA algorithm
• </rich_text>
<rich_text style="italic" weight="heavy">xz</rich_text>
<rich_text style="italic">, another LZMA-based program</rich_text>
<rich_text>
</rich_text>
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<rich_text>• </rich_text>
<rich_text weight="heavy">lz4</rich_text>
<rich_text>, a new, high speed compression program and algorithm
• </rich_text>
<rich_text weight="heavy">lzop</rich_text>
<rich_text>, based on the fast lzo library, implementing the LZO algorithm
• </rich_text>
<rich_text weight="heavy">gzip and pigz</rich_text>
<rich_text> (multithreaded gzip), based on the zip library which implements the ZIP alg
• </rich_text>
<rich_text weight="heavy">bzip2 and pbzip2</rich_text>
<rich_text> (multithreaded bzip2), based on the libbzip2 library implementing the Burrows–Wheeler compressing scheme
• </rich_text>
<rich_text weight="heavy">7-zip</rich_text>
<rich_text>, based mainly (but not only) on the LZMA algorithm
• </rich_text>
<rich_text weight="heavy">xz</rich_text>
<rich_text>, another LZMA-based program
</rich_text>
<rich_text justification="left"></rich_text>
<rich_text>
</rich_text>
<rich_text scale="h2">Compressing a CentOS 6.5 root image file</rich_text>
<rich_text>
</rich_text>
<rich_text link="webs https://linuxaria.com/article/linux-compressors-comparison-on-centos-6-5-x86-64-lzo-vs-lz4-vs-gzip-vs-bzip2-vs-lzma">https://linuxaria.com/article/linux-compressors-comparison-on-centos-6-5-x86-64-lzo-vs-lz4-vs-gzip-vs-bzip2-vs-lzma</rich_text>
<rich_text>
</rich_text>
<rich_text justification="left"></rich_text>
<table char_offset="439" justification="left" col_min="60" col_max="60" col_widths="0,0,0,0,0,0" is_light="1">
<row>
<cell>Lz4, version r110</cell>
<cell>buit-in</cell>
<cell>Lz4 (a LZ77 variant)</cell>
<cell>Low</cell>
<cell>Very High</cell>
<cell>Very High</cell>
</row>
<row>
<cell>Lzop, version 1.02rc1</cell>
<cell>Lzo, version 2.03</cell>
<cell>Lzo (a LZ77 variant)</cell>
<cell>Low</cell>
<cell>Very High</cell>
<cell>Very High</cell>
</row>
<row>
<cell>Gzip, version 1.3.12</cell>
<cell>built-in</cell>
<cell>LZ77</cell>
<cell>Medium</cell>
<cell>Medium</cell>
<cell>High</cell>
</row>
<row>
<cell>Pigz, version 2.2.5</cell>
<cell>Zlib, version 1.2.3</cell>
<cell>LZ77</cell>
<cell>Medium</cell>
<cell>High (multithread)</cell>
<cell>High</cell>
</row>
<row>
<cell>Bzip2, version 1.0.5</cell>
<cell>Libbz2, 1.0.5</cell>
<cell>Burrows–Wheeler</cell>
<cell>High</cell>
<cell>Low</cell>
<cell>Low</cell>
</row>
<row>
<cell>Pbzip2, version 1.1.6</cell>
<cell>Libbz2, 1.0.5</cell>
<cell>Burrows–Wheeler</cell>
<cell>High</cell>
<cell>Medium (multithread)</cell>
<cell>Medium (multithread)</cell>
</row>
<row>
<cell>7-zip</cell>
<cell>built-in</cell>
<cell>LZMA</cell>
<cell>Very High</cell>
<cell>Very Low (multithread)</cell>
<cell>Medium</cell>
</row>
<row>
<cell>Xz,version 4.999.9 beta</cell>
<cell>Liblzma, ver 4.999.9beta</cell>
<cell>LZMA</cell>
<cell>Very High</cell>
<cell>Very Low</cell>
<cell>Medium</cell>
</row>
<row>
<cell>Pxz,version 4.999.9 beta</cell>
<cell>Liblzma, ver 4.999.9beta</cell>
<cell>LZMA</cell>
<cell>Very High</cell>
<cell>Medium (multithread)</cell>
<cell>Medium</cell>
</row>
<row>
<cell>Program</cell>
<cell>Library</cell>
<cell>ALG</cell>
<cell>Comp. Ratio</cell>
<cell>Comp. Speed</cell>
<cell>Decomp. Speed</cell>
</row>
</table>
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xsb0adPH3HlypVK9xWA2L17t2jRooWwtbUVQUFBIi0tTaX4yn9Pyr43bewfEZGmeAeAiGrFZ599hnnz5ikte//997Fy5UrF+yVLlsDBwQHXrl3Dw4cP4ezsjE8//RQAYG5ujrS0NCxbtgw7d+5EcnIyXn/9dcyYMQMA8PjxYwDPunscOHAAAPD1119jwYIFSrctk8nw/vvv47vvvlMs69ChAzZs2IDk5OQq9+nMmTMYMmSI4r2pqSk6deqktK65uTmysrKwefNmHDx4EJmZmQCAFStWIDs7G1evXkVCQgIaNmyIjz76SPG5qsqV7Wt5n332Gezt7REbG4tff/0VW7ZsUSu+qshkMsX3kJKSgrfeegvTpk1TWnfx4sVwdnbG3bt3sW/fPnzyySfIzc2FiYmJSuuq7pxQN/bXX38d06ZNQ2JiIh48eIBXXnkFkydPrrS+XC5HSEgITpw4gfj4eHh6epY5p6qKr/z3pOx70/b+ERGpRdr8g4jqKxsbG/H06VOV6rZu3Vrcv39f8f7JkyeidevWivcAxNWrVxXv09PThbm5eZny0iwtLUVOTk6l28vOzhYWFhaK9/Hx8WLQoEFCLpeLNm3aiJCQEHHw4EGRmZlZ5nPm5ubi+++/F+7u7qJhw4Zi06ZNVe4XAPHbb7+VWfbcc8+Ja9euKd5HR0cLT09Plcur+7Pt7e0t4uPjFe8vXryo9A5AZfFVtz/R0dGK9xkZGcLMzEzpulu2bFkmjkOHDlXYdlXrUuWcqC720tsruaKuKgAiKipK8T4mJka0aNFCrfgqi0XVz6vz3RARqUMmhJ6N2iKiesHCwgIpKSmwtLSstq6ZmRny8/MrfD47OxvAs6vFhYWFMDIyUpTLZDLFIM/SPwOApaUlkpOTK912cnIyWrRoUeHK6uPHjxEZGYmoqCgcO3YM9+7dw86dOzFgwAAAz67MBgcHY8mSJTAxMcG7776Lfv364Y033lC6HZlMhtzcXJiZmSmW2draIjk5GaampgCeDVa2trZW7H915eX3tTwbGxskJibCwsICAJCVlQVra2ulx0pZfFWRyWQoKiqCXC4vs0zZuq2trZGUlKSIIzs7G1ZWVmXqVrUuVc6J6mIvvb4dO3ZgypQpcHd3R79+/fDqq6/C19e3ys+WXn92djYaNGigiEmV+Ep/T+Xfa2P/iIg0xS5ARFQrWrdujYsXL6pU18LCApmZmRBCKF4lDaESpRv/1fH29q5ypqHo6Gi0adOmwvImTZogKCgIy5cvx+XLl7F+/XpMnTpVUe7o6Ig5c+bA2dkZDg4OWLFiBebOnVtlLOUbcHl5eRXqlJ5ysrry6uTl5ZVpVBsbG6sVX3VKr7sqxcXFZeIu39itbl2qnBPqxD569Gjcv38fixYtgo+PD2JiYvD+++9X+Znyx9Hc3Fyt+Kqi7f0jIlIHEwAiqhVvvPEGPvroI6VXqxcvXlzmqrm7u7tWp9McM2YMFixYgOLi4gplQggsW7YM48aNq3Y9wcHBSEtLU7z39vZW9OcGgIKCAtjY2KgVm4eHB+Lj4xXv4+Li4O7urnJ5dZo2bYqUlBTF+8uXL6sVn7Y4OTmVGVOhajJYQtvnBPDsrkRgYCDGjBmDkSNHYt26dVXWv3btmuLnO3fuwMXFRWvx1cb+ERGpigkAEdWKt99+G02bNsXAgQNx9epV5OfnIz4+HvPmzcOiRYsQFBSkqDt+/HisW7cODx48QGZmJpYvXw4/Pz+Vt+Xi4oLo6GjF1fNZs2bBwsICAwcOxOnTp5GdnY2cnBxERUVh6NChKCwsLDPgdN68efjiiy9w9+5d5OXlIS8vDzdv3sTSpUvLDPqdPXs23n//fcTFxSElJQXvvfceVqxYodZxCQ4Oxo4dO5CWloYnT55g3bp1CA4OVrm8/L6W5+/vj+XLlyMlJQV3797Fv//9b0ke0DV48GCsXbsWT58+xa1bt7B8+XK1Pl/Tc6K8Xr16Yd26dcjIyEB+fj5++ukneHl5Ka0rhIBcLsenn36KBw8eIDU1FVu2bMHw4cNVjq/891T+vbb3j4hILToZaUBEBiskJEQ8//zzwszMTDg6OorAwMAygyuFEKKgoED885//FI0aNRLW1taid+/eZaZoVPanqvSynTt3Cmtra9G4cWPFsry8PPHFF1+I9u3bCwsLC2FhYSF8fHzE6tWrRUFBQZl15eXliYULF4oWLVoIY2NjYWpqKlq2bCk++OCDCoOJw8LChKurq7C3txerV6+uct+VxZ2bmysmTpwoHB0dRZMmTcQ777yjmBpTlXJl+1paWlqaePXVV4WNjY1o0aKF2LNnT5npN1HJgOAScrlcrf2pbH2PHz8Wffv2FWZmZuL5558XkZGRQiaTqbwuTc6Jqtb322+/CV9fX2FpaSlsbW3FgAEDygxCLi07O1tYW1uLPXv2CDc3N2Fraytee+21MoPCq4uv/PdU/r029o+ISFMcBExERACABw8eYPjw4bhw4UKN15WRkQFra2vFHYVHjx6hc+fOuHfvXo3XTURENcMuQEREBOBZF6eFCxdqZV29evXC0qVLkZmZib///hsbNmzA4MGDtbJuIiKqGd4BICIirbtx4wZmzJiBCxcuwNLSEv7+/li9ejUaNGggdWhERAaPCQARERERkQFhFyAiIiIiIgPCBICIiIiIyIAwASAiIiIiMiBMAIiIiIiIDAgTACIiIiIiA8IEgIiIiIjIgDABICIiIiIyIEwAiIiIiIgMCBMAIiIiIiIDwgSAiIiIiMiAMAEgIiIiIjIgTACIiIiIiAwIEwAiIiIiIgPCBICIiIiIyIAwASAiIiIiMiBMAIiIiIiIDAgTACIiIiIiA8IEgIiIiIjIgDABICIiIiIyIEwAiIiIiIgMCBMAIiIiIiIDwgSAiIiIiMiAMAEgIiIiIjIgTACIiIiIiAxIvU4AiouLMX36dFhbW8PT0xO//vqroiw1NRX+/v6ws7ODv78/0tLSVCojIiIi0qWq2jNEmqjXCcDmzZthZWWFe/fuYfHixXj//fcVZYsXL0avXr1w79499O7dG0uXLlWpjIiIiEiXqmrPEGlCJoQQUgdRW3r16oX169ejXbt2Fcqee+45/Pzzz2jZsiVu3bqFUaNG4cqVK9WWEREREelSVe0ZIk3U6zsA165dw/Xr1+Hk5ISOHTvi5s2birL4+Hi4uLgAAFxdXXHnzh2VyoiIiIh0qar2DJEmjKUOoDalp6fj6tWriIuLw/LlyzFr1iz88ssvAIDc3FyYm5sDAMzNzZGdna34XFVlJZ4+fYozZ87oYC+IiIjIkAwZMqTM+6raM0SaqNddgBo2bIjz58+jVatWSEtLQ/PmzRUDeq2trZGUlAQLCwtkZWXB2dkZ6enp1ZZV58CBAxV+cYmIiIjKU7XNUFV7hkgT9boLkJubGzIyMgAAQggYG//vhoeHhwfu3bsHAEhISICXl5dKZYYqLi4OPXr0gLW1NYYMGYI7d+6gT58+sLKyQu/evfHXX39JHSIREVG9VFV7hkgT9ToBePXVV/HDDz8gLS0Nq1evRt++fRVlgYGBCAsLQ3p6OsLCwjB06FCVygzVzJkzcebMGWRlZSE8PBy9evXCqVOnkJ2djYiICMyaNUvqEImIiOqlqtozRJqo1wnA7NmzERcXB2dnZxw/fhwrV65UlM2bNw+RkZFwdXXFxYsXMXfuXJXKDFVUVBSOHTuGgoICHD16FA8ePMCxY8eQn5+Po0ePcjwEERFRLamqPUOkiXp9D8nKygr79u1TWmZra4tDhw6pXWbIjIyMIJPJUFxcrFgmk8kgk8kkjIqIiKh+q6o9Q6SJen0HgLSnW7du6Nu3L4yNjeHn5wcXFxcMGDAAJiYmGDBgALp37y51iESkRwYNGqS4QFD6pUxMTAwGDx6Mhg0bokGDBvD390dcXJyOIyZ6hucuGQImAKSStWvXwtfXFxYWFhgyZAgiIyMxYMAAWFpawtfXF2vWrJE6RCLSI6mpqXBycoIQosxLmYkTJ+LYsWPYtWsXQkNDcfjwYYwdO1bHERM9w3OXDEG97gJE2uPp6Vmhn//Ro0clioaI9F1qaioaNGigUt2IiAjFzzk5OQCA6OjoWomLqDo8d8kQ8A4A1RjHARBReampqUhPT4ePjw/s7OwwbNgwPH78uMrPFBUVYdu2bQCAUaNG6SJMogp47pIh4B0AIiLSutTUVJiamiIsLAz79u3D7NmzYWZmhtDQ0Eo/UzK3eUBAANauXaurUInK4LlLhoB3AKjGquofSUSGKTc3F+np6fD09MTEiRMBAMeOHavyM4WFhdiyZQvCw8Px2muv6SJMogp47pIhYAJARFRPqDN7SWZmJiZPngxnZ2fY29tjxIgRiiega1tJDGZmZlXWMzIyUgygPH78eK3EQqQOnrtUX7ELEGmFTCbjXQAiiZXMXlJdf2UAmD9/PjZv3ozNmzfDzc0Nfn5+yM7OxuHDh7USS8+ePXHhwgUcP34csbGxAIDhw4cryksaVkIIdO3aFZcuXcLJkyeRlZUFAPDx8dFKHETq4rlLhkAm2GrTqgMHDmDIkCFSh6FzTACIpOft7Q0AuHnzZrV1n3/+ecTGxuLx48cwMzODlZUVrKyskJmZqZVYrly5glmzZuGPP/6AlZUVAgMDsWLFCtjY2AAo24i6cuUK3nnnHZw7dw5mZmbw9fXF2rVr4enpqZVYiNShy3PXUNsMJD0mAFpWX3+ZVZnlh6cSkbSaNGkCuVyOJk2a4Pbt2+jTpw82bdqEJk2aVPm5b775BhMmTECrVq1w69YtHUVLRPW1zUD6j12ASCW8wk+k/zSZvWTv3r2YNm0aAGDJkiW6CpWIiCTEQcCkki1btmDhwoUVnozIGYCI9Ie6s5ds374dQUFByM/Px5o1a8r0cyYiovqLCYAek8lkePXVV3H37l2pQ8GECRPw3HPP4fPPP5c6FCJSQXWzl5w+fRpvvfUWjI2N8dNPP2HWrFm6DI+IiCTELkB6LjIyEt7e3pg+fTrmzZsHR0dHyWKpam5j3gUgkp46s5dMnToVBQUF+OGHH3jln4jIwPAOgJ6Ljo7GsGHDsGLFCri7uyM4OBg7d+7EjRs3kJGRobM4CgoKsHLlSnTu3Bl2dnYwNjZGgwYN0L17d2zYsAHFxcU6i4WIlFu3bh26du0Kf39/LFiwAJMmTcLSpUuV1o2OjgYAjBo1qtpnBhARUf3CWYC0TJsj+ksPvD1+/DjmzJmDK1eulKmjq69v8uTJ2Lx5c6Xlc+bMwfLly3USCxERUX3AWYBIKuwCVEf0799f8bCRH374AadOnaq1p3Yqs3v3boSEhCAgIAD29vYwMTFBQUEBUlJSEB4ejg8//JAJABFVa8mOc1jwzUmlZeKXBboNhkgNPHepPmECUIfIZDL07dsXffv2lWTbMpkMcrkccrlc8bORkRGMjY05BoCIiIiojmACoMf0qVE9bNgwTJgwodLyGTNm6DAaIiIiItIUE4A6qvRsHrqwfv16eHp6IjQ0FLGxscjOzoaVlRW8vb0xevRoTiFIREpl5uQj5sETxNx/9tpzJkbqkIiIDB4TAFKJqakp5s+fj/nz50sdChHpmcKiYsT/nYaY+09w814KYks1+FMyctCqmT1aufz31cwel2//LXXIREQGjQlAHaXr7kGlZyR6+PAhZs2ahRMnTsDMzAzDhw/HF198AWtra53GRESq2R8Vi8APdyktU2fwYmJqNm7eS0HM/SeKRv7NeymI/zsNzvbWaOVij9Yu9mjn7ohXe3ijlYs9XBvbovTsoj+fjUFoxA2M7OWNomKB/ediEdDFCz+f5Z0B0m/ezRsBAGwsTdHR0wlODa0AAGERN6UMi0gjTABIbZMmTcLBgwcV7zdu3AiZTIb169dLGBURVeZ+kurPDMnOK1BcvS/punPr3rOfjeQytHKxh7drI7RqZo9xA55Ha9dG8GraEGYmRiqt/xXfVmhgbV6m0fTz2RjwEQSk717xbQVLMxNkZOcj4s//zcLHc5fqIiYAekwmk2HEiBFYuXIl3NzcpA5HISIiAmvWrMGiB2ZYAAAgAElEQVT48eMhk8kQFhaGf/3rX0wAiOqgNXsulmnsJ6Zmo2WzhoruOv06uGHaUB+0crGHvY2FVrb5dPc7ip837v8D528+xLdzORc66beCwmI0sbfC1neHoFc7V6nDIaoRJgB6LjIyEt7e3pg+fTrmzZsHR0dHqUOCh4cHhg4dChsbGwCAp6enTp9KTETaE/vgKdo0d8Aw31Zo5WKP5o62kOvwkmZAFy988J8IFBULGMl5KZX019ZfrqJlM3s2/qlekEsdAFUtOjoaw4YNw4oVK+Du7o7g4GDs3LkTN27c0Hmju0mTJvD29kZSUhI6dOigWP7yyy/jxRdf1GksRKQd62YMxIxhL2Lgi+5o4WSn08Y/ADR3tIWbox3OXX+g0+0SqSOvoAifbT+DT97sKXUoRFrBBEDPOTg4YMeOHTh27BhatmyJ0NBQjB49Gm3btoWtra3O4vDz80OLFi0AAMXFxcjLy1OUde7cGV9++aXOYiEi9ZiZPuufb2FqDFMTIzS0NkdDa3OJo/qfgC6eCL8QJ3UYRJXaHH4JHTyd0Ll1U6lDIdKKep0ADBgwQPEEW5lMVuZhVampqfD394ednR38/f2RlpamUplU+vfvj0uXLuHEiROYMGECvLy8YGZmprPtHz58GFFRUbh58yYeP36M3NxcRdnp06fRrl07ncVCROr5h1972FmZISe/EPkFRXiamYunmbl6M3gxoIsXws8zASD9lJ1XgM93nMUnb/aSLIaq2jNEmqjXCcDTp08RFxcHIQSEEFi3bp2ibPHixejVqxfu3buH3r17Y+nSpSqVSUkmk6Fv374ICQlBbGxsmUY4EVFVlk3qh6FdW0L8skDxKj6i+hSgtalTa2f8/TQLdx6lSh0KUQXr9v6OXu2ao72HdGPwqmrPEGmiXicAqampsLe3V1p24MABBAUFwdbWFsOHD0d4eLhKZbqk67n+iah+KhYCX4RGYe6oLlKHopRcJsPQri1xgHcBSM+kZ+dhxa7z+HictH3/q2rPEGmi3icAo0ePhq2tLfr27YuEhARFWXx8PFxcXAAArq6uuHPnjkpluiQrdX/+4cOHCAoKgr29PZydnTFt2jRkZmbWfhBZUcDfS1V/FSbVfkxEpJY9kTFwsLNEz+f1d/aSIV3ZDYj0z5o9v2FQJ0+0+e9DwKRSVXuGSBMyUY8vM48dOxYTJkzASy+9hA8//BB37tzB3r17AQBGRkYoLCyETCZDcXExTExMUFRUVG1ZiadPn+LMmTO1Gv/QoUOxf/9+AMCiRYvw22+/lSkfPHgwpk6dWqsxeNkdhXfDfSrXP/VwATLyOUiKSJ+8G3obQS82RldP3U0coK7cgmK8+fUN/GdCG5ib1OtrU1RHZOYVYfK2GKwY5YkmdqY63faQIWWfi1FVe4ZIE/U6ASjtyZMn8PDwQGrqsz6m1tbWSEpKgoWFBbKysuDs7Iz09PRqy6pz4MCBCr+4mpLJZIpuQDY2Nvjss88qPHzrwYNanjovaSPw9xeq1/c6DJi3rr14iEgtJ68kYMqaw7j+9SSdT/GpLr8FOzA5oCNG9ODfEJLe+9+cREp6Djb907/WtqFJm6F8e4ZIE/X6MsulS5dQXFwM4NnUlaVnzfHw8MC9e88e5Z2QkAAvLy+VyqRS+uFb1tbWfPgWEalkWVgU5gR11vvGPwAM7doS+87FSh0GERJTs7Ep/DL+Naa71KEAqLo9Q6SJep0A/N///R82bNiAzMxMLF68GP3791eUBQYGIiwsDOnp6QgLC8PQoUNVKtM1PnyLiDR1LT4Jl2//jTcH1o1pegO7tcShi7dRbBg3pkmPLdlxDmP6PwfXxvrRba6q9gyRJup1ArB582aEhISgSZMmuHbtGlasWKEomzdvHiIjI+Hq6oqLFy9i7ty5KpXpEh++RUQ1sSzsPGa90gmmxkZSh6KS5o62cGpohYu3HkkdChmwB8kZ2HbsTyx8zVfqUBSqas8QacJY6gBqU8eOHXH58mWlZba2tjh06JDaZbp0+PBhpcsvX76M06dP6zgaIqpLEhLTEX4+DmumDpA6FLUEdPHCgag4dPHmZAIkjc9/PIsJg9rDqaGV1KEoVNWeIdJEvb4DUF917NhR6hCISM+t3n0R4/1eQANrc6lDUcvQrl7Yey5G6jDIQMX/nYbQiBuYN6qr1KEQ1SomAHqs9GO/S79KlxERlZeamYv/HP0T/xzeSepQ1Na1TTP8/TQLCYmqzbxGpE2ffB+JqUN80MjWQupQiGoVEwA9J5fL2dAnIrWs2/c7Aru1RDMHG6lDUZtcJoN/J08+FIx0Lub+ExyIisOcIP18YjaRNjEB0GMLFiyAvb09+vTpg6+//hrp6emK5wIIIWAgj3AgIjXk5BViw74/MHdk3W3EBHTxQviF21KHQQbm4+9O458jOsHOilNsUv3HBECPff7554iPj8fw4cPx2WefoUmTJhg3bpzUYRGRHvvu+DV0au2Mtm4OUoeisYEvuuPU1QRk5uRLHQoZiGvxSfj1yl28XQe7zRFpggmAnrOyssLMmTMRGxuLbdu24fZtXhUjIuWKhcCy0CjMHVm3BzDaWZnBt20zHLsUL3UoZCA+2nYa80Z1hZW5idShEOkEE4A6Qi6X49VXX8XZs2fZ9YeIlNodeQuNG1iix/MuUodSYwFdvDgOgHTij7jHuHDzIaYE+EgdCpHOMAEgIqonloWex3ujukkdhlYEdPbEwQu3wesdVNv+tTUCC17zhYVZvX40ElEZTACIiOqBk1cSkJGTh6HdvKQORSs8mzaEraUZLsY8lDoUqsfOXr+PGwnJmOjfXupQiHSK6a4+yr8P5N9Vvb5lR0BuWXvxEJHeWxp6DrNf7QJ5PZo2eJhvSxyIikPn1nwqMNWOf22NwAdju8PU2EjqUIh0igmAPkrbD/z9her1vQ4D5q1rLx4i0mtX7yTi6p1E7F0UJHUoWjWkS0u8veEoPnmzl9ShUD3065W7eJCSgTcGtJM6FCKdYxcgIqI6bsVPF/D28E717ipmt7bNcDcxDQ9TMqUOheqhf22NwMfjesLYiE0hMjw864mI6rCExHSEn4/D/w3uIHUoWmckl8HvJQ/sj4qVOhSqZw5euI307DwE92kjdShEkmACQERUh63afQHj/V5AA2tzqUOpFYHdWmJ/FKcDJe0RAvjg2wgseqNnvRozQ6QOJgBERHXU08xcbDt6DbNf7Sx1KLVm0EseOP3nPeTkFUodCtUTe87cAgAM786xc2S4mAAQEdVR6/f9jld8W8HZ3lrqUGqNnZUZXmzZBCcux0sdCtUDxULgo22n8en4XuDFfzJkTACIiOqgnLxCrNv7O+YE1d+r/yUCuniyGxBpxc6TN2BraQb/Tp5Sh0IkKSYARER10H+O/omubZqirZuD1KHUuqFdW2J/VCyfCkw1UlhUjI+/e3b1n8jQMQEgIqpjioXAil3nMXdkV6lD0YlWLvawtTTDpduPpQ6F6rBtx/5Es0Y26NveTepQiCTHBICIqI756fQtODawQvfnXKQORWcCungh/PxtqcOgOiq/sAj//v4Mr/4T/RcTACKiOmZZWBTmjTKMq/8lArp44gDHAZCGQg5dQZvmDvBtazhJM1FVmAAQEdUhJ68kICu3AEO7eUkdik71eM4VsQ+e8KnApLacvEIs/vEsr/4TlcIEgIioDlmy8xzmBHU2uAcYmRjL4d/ZEwcvsBsQqeer8D/Q2bspfLyaSB0Kkd5gAkBEVEdcuZOIP/9KxNj+z0sdiiQCOnsi/Dy7AZHqsnIL8EVoFBa90VPqUIj0ChMAIqI6YnnYebwzojNMjY2kDkUSgzp54Ncrd5FXUCR1KAanoKAAK1euROfOnWFnZwdjY2M0aNAA3bt3x4YNG1BcXCx1iEqt2XMRfdu74fkWjaUOhUivGEsdABERVS8hMR2Hf7uNtdNfljoUydjbWKCde2McvxSPwZ35ICddmjFjBjZv3lxmWVpaGs6ePYuzZ8/izp07WL58uUTRKZeWlYfVuy8ictU4qUMh0jsGcQfg+++/h6xcf9nU1FT4+/vDzs4O/v7+SEtLU6mMiEgKK3adx/iB7dHA2lzqUCT1im8rHGA3IJ3bvXs3QkJC8OjRI+Tl5aG4uBh5eXl4+PAhtmzZgu3bt0sdYgUrdp3HkK5eaOViL3UoWqOsPUOkiXqfAAgh8M0331RYvnjxYvTq1Qv37t1D7969sXTpUpXKiIh07UlGDr4/Ho13Xu0kdSiSe/Y8ACYAuiaTySCTySCXyyGXyxU/GxkZwdjYGELPHtOckp6DjQf+wIdje0gditZU1p4h0kS9TwD279+PTp0q/tM8cOAAgoKCYGtri+HDhyM8PFylMiIiXduw/w8M794KzvbWUociOW/XRjAxNsKffyVJHYpBGTZsGCZMmAAnJyeYmJhAJpPBxMQETk5OGD9+PIKCgqQOsYwvQqMwqlcbtHCykzoUramsPUOkiXqfACxduhRTpkypsDw+Ph4uLs8eCOLq6oo7d+6oVEZEpEs5eYVYt/d3zAnqInUoeiOgsyf2nouROgyDsn79eixevBgdO3aEtbU15HI5bGxs0KlTJ6xYsQKrVq2SOkSFx0+y8PXhK3j/NV+pQ9GqytozRJqo1wnAyZMn0bBhQ7i7u1coy83Nhbn5s7605ubmyM7OVqmMiEiXvv3lKrq2aYo2zRtJHYreGObbqtaeClxYWIjly5fjpZdego2NDYyNjeHg4IABAwZg165dtbLNusDU1BTz58/HH3/8gYyMDBQVFSE9PR0XLlzA7NmzYWysP3OKfL7jLN4Y0A7NHGykDkVrqmrPEGlCJvSt454WDRo0CP/85z8xaNAgyGSyMn0Ura2tkZSUBAsLC2RlZcHZ2Rnp6enVlpV4+vQpzpw5Uytxe9kdhXfDfSrXP/VwATLym9b7WIgMTbEQmPJdDGa/7ApvZ0upw9EbhcUC47bcwFfjWsHOUrsNz40bN+LgwYNlljVo0ACZmZkoLCzEpEmTEBgYqNVtVmbo0KHw9fXFhAkT4OjoqJNtamLo0KEAnnVR0dSDBw+wZcsW3Lx5EwDg7e2NyZMnw9nZuULdjz76CH/88UeF5fv370dyRgFm/RiLjWO1f27o0pAhQ8q8r6o9Q6SJep0AKBsp37t3b5w8eRIvvPACdu3ahVatWuHGjRsYM2aM4g9KVWXVOXDgQIVfXLUlbQT+/kL1+l6HAfPWNdtmXYiFyMCEnrqBL3/+jdMYKjHq0z0I6OKFN19up9X12tnZ4fPPP8eYMWNgZmaG0NBQnDp1Chs2bMDXX3+NJUuW4N69e1rdZmVkMhkcHR2Rnp6O6dOnY968eXqZCJT8r61Jc6JXr16IiorCoUOHUFRUBD8/P3Tp0gVRUVEV6nbt2hXx8fF4/PhxhbLJqw/Bwc4Sn43vrXEsuqRqm6Gq9gyRJup1FyAhhOJV8r7klyUwMBBhYWFIT09HWFiY4gpGdWVERLryRWgU5o7sKnUYeimgixf2nYvV+npNTEzQuHFjmJmZobi4GHK5HKGhoTA3N0eHDh2QnJys9W1WJTo6GsOGDcOKFSvg7u6O4OBg7Ny5Ezdu3EBGRoZOY6lM6f+zmoqIiEB+fj769++Pnj2fPbU3Ojpaad3U1FQ0aNCgwvI7j1Kx+8wtvDuy/o2Xqao9Q6SJep0AVGXevHmIjIyEq6srLl68iLlz56pURkSkC79euYuc/EIEdmspdSh6aXBnTxy/FK/1pwL7+fkhODgYlpaWsLa2xhtvvIH27dsDeNYNo1077d5xqI6DgwN27NiBY8eOoWXLlggNDcXo0aPRtm1b2Nra6jQWXSgqKsK2bdsAAKNGjVJaJzU1Fenp6fDx8YGdnR2GDRuGx48fY9H3kZj1Sic0NPBnZRCpou52kFNT+asTtra2OHTokNK6VZUREenC0p1ReDeoC/jMH+Ua21minXtjnLqagIEvam9g5Jdffgm5XI7Dhw+joKAA3bt3x9q1awEAffr0wUcffaS1bamjf//+uHTpEk6ePIkffvgBp06d0llXJACIiYnBuHHjcP36dYwePRqrV69GcHAwTp48CR8fH3z77bfw8PCo8XZKBhMHBAQojnt5qampMDU1RVhYGPbt24fZs2cjr0iGS5Z9Eftt/Z8lpx733CYdqtdjAKTAMQAcA0BUU5dv/40hH4ThzrapMDU2kjocvbVkxzk8epKJNdNeljqUWqFPgz0HDRqEI0eOKN4HBASUeUaOv79/hcHTmigqKsLWrVsVg6337t1bZf2MjAzY2trC1MIa//72KOaNqltd5rTSZiDSgMF2ASIi0lfLw87jn8M7sfFfjYAuXjigw6cClzwNV1f0pfEPAFFRUThy5Aiys7Px1VdfITw8HCEhIcjJycHRo0dx9uxZrWzHyMgIY8eOBQAcP3682vol30ehkGPGsBe1EgORIWACQESkRxIS03Hk9zv4v4AOUoei99q5N0ZxsTDIpwLrOhkpLi6GiYkJLCwsMHHiRADA+PHjYW5uDnNzc+Tn59do/V27doWZmRnOnTuHyMhIAICPj4+ivPT+9uzZE2ZmZoiMjERYWBgAwLfPQFiamdQoBiJDwgSAiOqcmJgYDB48GA0bNkSDBg3g7++PuDjlV4LVqasPlu86jwmD2sPW0kzqUOqEwG4tEa6juwDamO2mrvL19YWfnx+AZ1fphRCQy581Ifr374/u3bvXaP2bNm1C9+7d0a9fPwQFBcHf3x9bt25VWnfdunXo2rUr/P398e7c92Dt1R17fthSo+0TGRqDGQRMRPXHxIkTK8wZPnbsWKVzhqtTV2rJaTn44Xg0rm2ZKHUodUZAFy/8+4dIzB/dTepQdErXiciXX36puPJfno+PD1asWFGj9bdv3x4nTpyotLz0/rZv3x6nTp0CAAx6fydG9GgNB/uK04ISUeWYABBRnRMREaH4OScnB0Dlc4arU1dqGw/8gRE9WsHZ3lrqUOqM3i80x6hPk5CSnoNGthY1Xp9MJsOIESOwcuVKuLm5aSHC+qFVq1ZlfpdKO3funI6jeSbiz3uIffAE4we+IMn2ieoydgEiojpLlTnDNakrhZy8Qqzb+xvmBNW/hxjVJjMTI/Tr4KbVwcCRkZHw9vbGu+++i8TERK2tV12l+/g/fPgQQUFBsLe3h7OzM6ZNm4bMzEydxXL37l0MHDgQ1tbW8Pb2rjA7jy7HI5T44NtT+GhsD5gYsylDpC7+1hBRnWVsbIwpU6ZUOWe4JnWlsPWXq+jWthm8XRtJHUqdM8y3lVbHAejj03cnTZqEn376CU+fPsXjx4+xceNGvPfeezrb/syZM3H06FFkZWXh1q1beOWVV7B+/Xqdbb+8X37/C4mp2RjT/3nJYiCqy5gAEJFK1B1M+/XXX0Mul9fqlcHCwkJs2bIF4eHheO2117RWVx3aOC6FRcVY9dMFzA82rH7s2uLfyRPH/ohHQWGxVtanj0/fjYiIwJo1a5Ceno6MjAx88803+Pnnn3W6/ZIEICQkBKamppg1axb27NmjsxhK+/A/EVj0Rk8YyfmkPCJNMAEgIpVMnDgRx44dw65duxAaGorDhw8r5usu78cff8Rff/1V6wMV1ZkzXN35xVWljeOyO/IWnO2t0bVNM63FZUgcG1iilYs9IqO1+2TckqfvnjhxAhMmTICXlxfMzKSZncnDwwNDhw6FjY0NrK2t4enpqdO7EWZmZoiPj0deXh4mTJiAH3/8ETKZDK+//rpiKk5d2R8Vi9z8Qozs1Uan2yWqT5gAEJFKIiIikJ+fj/79+6Nnz54AKh9M+9dff+HTTz+ttVjUmTO8uro1pY3jsnRnFOaOYt//mgjo4oW9Z2O1vl6ZTIa+ffsiJCQEsbGxyM3N1fo2qtKkSRN4e3sjKSkJHTr879kQL7/8Ml58UXcPvho6dCgmTZqEJk2aAABGjBiBrVu3orCwsFbH1KRm5uLOo1TF6/bDVLy35Vd8OLYHJBh2QFRvcBYgIlKLKoNp33///VqNYdOmTXjnnXfQr18/mJmZwd/fv9J+/erUrQlNj8vxS/HILSjEkC4ttR6TIRnWrSVGfLIbq6cOqNF69Gmefz8/P6SmpiI1NRXFxcXIy8tTlHXu3BlffvmlzmJZvXo1zM3NcfLkScWycePGoUWLFpg6dWqtzaz11YFLWPDNyQrLX/1kN8QvC2plm0SGgAkAEanF2PjZnw0pB9OqO2d4VXW1RdPjsizsPOaO7MKrmTX0gocjCgqLcPNeSo0GUhcUFGDt2rXYsWMHbt26haysLFhbW+O5557DmDFjMGXKFMUDsGrb4cOHKy07ffq0TmIoYW1tjXXr1lVY3rNnT1y7dk2nsZABuXgM+Obfut+uvRPwWajSosOHD2PhwoWIjo6Gra0tBg8ejGXLlqFx48YAnt01PHz4sOLBeaWdOXMGPXr0UPyPKj0WTC6Xo3HjxujZsyeWLl0KDw8PRVlmZiYGDBig1efXsAsQEamltgbT1nWaHJdLcX/jWnwSXu/3XC1HZxgCunjVeDagGTNmYM6cObh48SLS09NRVFSEtLQ0nD17FtOnT8e8efO0FG31CgoKsHLlSnTu3Bl2dnYwNjZGgwYN0L17d2zYsAHFxdoZ9KyKmJgYdOnSBTY2Npg0aRKysrIwZMgQWFtbo1evXrhz547OYiEDkv4UiLms+9cd5Xe0Tp8+jddffx0LFixAWloafv/9d9ja2mLBgv/djTIxMcG6deuU3k1cvXp1hXFEJU8YLywsxJUrV9C2bVsEBweXqbNz504EBARo4YD+DxMAHYqLi0OPHj1gbW2NIUOG4M6dO+jTpw+srKzQu3dv/PXXX1KHSFSt2hpMW9dpclyW7zqPfw7vBFNjo9oMzWAEdPbEvnM1Gwewe/duhISE4NGjR8jLy1N0vXn48CG2bNmC7du3ayna6ulTMjJr1ixcuHABmZmZCAkJQXBwMMLDw5GVlYXTp09jxowZOouFSCpffPEFFi1ahKCgIJiZmcHV1RVffvklQkJCFHUKCgrg7u6On376qcxnDx06BCcnpzJd+UqTyWRwcnLCu+++i+vXr5cp27p1q6Jr6a5du9CyZUuYm5vj+eefVzwVW11MAHRo5syZOHPmDLKyshAeHo5evXrh1KlTyM7ORkREBGbNmiV1iESVUmfgrSGpyXH55fc7mDyko07iNAT9O7bAlTuJeJKRo/E6Sr4vuVyumK5VLpfDyMgIxsbGOh0joE/JSFRUFI4cOYLs7Gx89dVXCA8PR0hICHJycnD06FGcPXtWZ7EQSeXq1at45ZVXqq03bdo0fPTRRygqKgLw7Cr/Bx98gGnTplX6meLiYjx8+BAff/wxBg8erFhe0hWxdevWAICpU6di+/btyMjIwMKFCzF79myN9oUJgA5FRUXh2LFjKCgowNGjR/HgwQMcO3YM+fn5OHr0KM6cOSN1iKRnMjMzMXnyZDg7O8Pe3h4jRozAvXvKpzp88uQJxo0bBwcHBzRs2BCzZs1S/PHRhk2bNqF79+7o168fgoKC4O/vj61btyqtW77RW5+Tg5ocl+Rd78DWUpppJesjc1Nj9G3vhsMXNe+OMmzYMEyYMAFOTk4wMTGBTCaDiYkJnJycMH78eAQFBWkx4qrpUzJSXFwMExMTWFhYYOLEiQCA8ePHw9zcHObm5sjPz6+V7Rr/9ym/r/dti/eCuypeRFJITEyEo6NjtfW8vb3h4eGhmBgiLCwMTk5OaNu2bYW6Jb/nRkZGaNasGbZv347Fixcryktf/QcAJycn7N69Gw8fPsRrr72G33//XaN94SBgHTMyMoJMJivTd7M+N47qoszMTMyZMwf79u1DXl4e+vTpgzVr1sDV1bVC3SdPnuDtt9/GoUOHUFRUhHHjxmHVqlUwMtJOl4758+dj8+bN2Lx5M9zc3ODn54fs7GylgwPffvttfP/999i+fTuePHmCGTNmwM3NDXPmzNFKLOoMvNWnmVRqmybHJTktB63/sQnXtkyEs711rcdoSAK6eCH8wm2Nx1WsX78enp6eCA0NRWxsLLKzs2FlZQVvb2+MHj1ap3dqS5KRyuiy242vry/8/PyQn58PIyOjMud1//790atXL61v8/DFO1gedh7WFqbY/mvZLhH8l0lScHZ2xoMHD8oM0K3MnDlz8NZbb2H06NH48MMPsXHjRqX1Sn6XiouL8eDBA6xZswbjx4/H6dOnUVRUhO+++w4RERGK+vv378fnn3+Ozp07o2nTplizZo1Gv39MAHSoW7du6Nu3r+K9i4sLBgz435R1Q4YMkSIsKkefGt0nT56Eqampor8hAEU3k/JK4hs2bBjy8vIwY8YM7NixQ2ux1AXX7yYjMvp+heWDXvJAc0dpnuCqzIb9v+PVnq3Z+K8Fgzt7Yv7Xv6KgsBgmxurf5DY1NcX8+fMxf/78WohOPfqUjHz55ZeKK//l+fj4YMWKFVrd3oHzcfjH8nDs+ySID8gjvdGtWzeEhoaq9PehT58+cHBwwLvvvgtra+sy7T9l5HI5XF1d8a9//UvxvI1Dhw7B2dkZnp6einru7u7YsmULNm/ejB9++AFjx45FQkKC2vvCLkA6tHbtWvj6+sLCwgJDhgxBZGQkBgwYAEtLS/j6+mLNmjVSh0go2+ju0aMHANUa3a+//joAYMeOHVqL5dq1a8jLy0PDhg0V623WTPk/w4KCAgDPriaYm5sDAG7evKm1WOqCU1cTMHn1oQovt7HrpQ5NISevEOv3/Y53g/jgr9rQtJE13Js00PipwPo0201JMvLHH38gIyMDRUVFSE9Px4ULFzB79mzF1LO60KpVqzJXIUs7d+4cXnjhBa1ta8+ZGExadRCHPg9m45/0ynvvvYfFixfj+++/R25uLpKSkrB06dJKuwbOmTMHGzduVOlCnBACycnJWLx4MTp16gQA+Oabb6mFP6QAACAASURBVCrMCNS1a1eEhoaisLAQHh4eGnf15R0AHfL09KzQz//o0aMSRUOVKT2n9TfffANA+kb33r17FYOHlixZorSOr68vDh06hN27dytuKebkaD4YkmrH14evwLetC1q52EsdSr0V2K0lws/fRt/2bmp/tmS2GwCKAbjh4eEAoJjt5uDBg1qNtzIxMTEYN24crl+/jtGjR2P16tUIDg7GyZMn4ePjg2+//Valrgh1SeipG/jnxmM4+GkwOno5SR2OQbt79y7mz5+PiIgIJCcno3HjxhgwYACWLFmiuEJd63wHA99f0c22SjNS3jx+4YUXEBoaigULFmDixImws7ODv78/NmzYoLT+yJEjsWHDBowcObLSTZV0AZfJZGjUqBEGDBiAsLAwJCUlITw8HKtWrSpT/5NPPsGsWbMUD+LbvHmzRrvIBEBPlJwAhtR3Wt/pS6N7+/btePPNN1FUVIQ1a9Zg+PDhSut9+eWXGDt2LCZPnozg4GA4OjpqdRBwXZCdV1BpWVZuAazMTXQYTUWFRcVYtfsCfpgfKGkc9V1AF0+MWbwPy/+vn9qfLZntpmfPnti2bRumTJmCkJAQjBkzBpGRkTodBKxPyYgubD8RjXc3n8CRxaPRzr2x1OEYvLFjx6Jv375Ys2YNGjVqhJSUFCxfvhzjxo3T3cVLC6tnLz3i5+en9CFfJUq344yNjSs8tE+d8XLKpgwdOHCgVi40MgEgUkJfGt2nT5/GW2+9BWNjY4SGhlYaBwB4eXkpnhKYm5sLW1vbWhmYJ7WCwmLcefwUNxOeIOZBCmLuP8HNeym4de8JMnMqn4nEceQaONhZwNu1EbxdG6FNcwe0crFHm+aNdNYXf3fkLbg42LBbQy3r6NkE6dl5iHv4FF5NG6r12fKz3UyZMgXjx4+HXC6v1dlulNGnZKS2/efon1i49RSOf/E62jTX/EnOpD2XL1/G4cOHYWX1rAHu6OiIDz74oNI74lS3MAHQE7zyrz/0qdE9depUFBQU4IcfflAaR+k7R0OHDsXJkydx4MABXL9+HQUFBZgyZYrWYqlMfmERsnIrXnm3NjfVaBBmiaS0bNxIeNbAVzTy76fgXlI6mjWyQev/NuQ7tW6KMf2eh7drI+w5cwvT1h5Rur6MfXMQ/zgNMfef4HpCMi7FPcaOk9dx/W4y8guL0NqlEdo0b6RYb5vmjeDp3LBG+1Dekp3n8Mmb9S8p0zcy2bPZgPaejcEcNcdaSDHbTWX0IhlJ2gBkqTHHf4vv1d5EyKEr+OT7SBz/4jW0dmHjX1+89NJL+PzzzzFr1iw4ODggJSUFq1atUvRPp7qNCQBROfrU6I6OfvY48tJzAJdsu7yPPvoIDx8+hJ+fHxwcHLBq1SqdXCHcFXETY5bsU1omflmgdHmJvIIiRQM/5kHJlfxnjX65XPbsCr3rsyv14/1egLdrI3g2bVDpk3OHdmuJeSG/VrgTIJMBcpkMHs4N4OHcAIM6le03/TQzFzcSknHzXgpuJjzBt79cxY2EFNxPTodrY1u0be6A1q72aO3SCG3dnsXT0Nq8yn375sgVTFhRsXvG0A/Cqj0uVHPDurXEil0X1E4AdD3bTVX0IhnJiwEya+8ZNRv3/4GloVE4sex1te/WUO367rvvMH/+fHTs2BEpKSmKMQDfffed1KGRFjAB0KG7d+9i0qRJOHv2LFxcXLB06VIMGzZMUS6TyXgnQA/oU6O7uvOhdPlLL72k8QNBatv95AxFQ//W/RTc/G8j/9GTTLg52qFN80Zo5WKP3i+4YnJAB7R2aYRGthZqb8fFwQYZe9Wf9rShtTl827rAt61LmeX5hUWIe/D02Z2IB09w4vJdbDzwB24mpMDKwkTRnaj03QM3RzvIZEBevmGNv9A3/Tq0wOuL9yEtKw92Vqo/bK262W50SZ+Skdqw9uffsGr3Rfy67HW4N2kgdThUjouLC77/Xv07OlQ3MAHQoZkzZyoGzty6dQuvvPIK1q1bh+nTp0scmX5Q5wFcwLNpVZctW4bExEQ8//zz2LRpE1588cUax1FfGt364KXpWxFz/wkszU3+21C2RysXe/Tv2OL/2bvzuKjK/YHjnxm2QRYVQVGxFDcMLVzSNMWNXBJUzA2VboqYG5hLZWm/W13DNC1XXMAllzTtulzBMMwFFc29xK5LLogLCioO+zb8/uAyiQwwKHPmAM/79ZpXcZ7DnK/DzJnnOed5vl9cGtSiYZ3qmJrINxuxuakJr7xszysv2xdpu5OY/L9pSY/4761Ewk/+xZXbj0h4koZLg1qYKOX776oKLC1M6dKqAb+cucEQdxdjh/Nc5DQYKW8Lf/qN4D1nObRgpKxqdAhCVVGpBwBXrlxhzJgxnDt3jubNm7Nq1Srt3LWkpCR8fHyIjo6mU6dObN26lerVq5fa9iKioqKIjIykU6dObNmyhYkTJxIYGEi9evVKnGdeVZSlANeOHTsIDAxk6dKltGzZEi8vL7744gv+8x/dU1GE8pedo+H0lXvsPXmt2H1WBPahmZNdma7AVhT17W2ob29Dz9YNC21PTs/iyu1HLPvPGU5fuWec4AQAPDs0YVf0lQo7AKisvt56nHW//EHUwlHUt7cxdjgVQkn9mfJWMBtBUUK5ZTFboeKr1Jeo/P398fb2JiEhgffff79QSfW5c+fi7u5OXFwcXbt2Zd68eXq1vQgLCwtu3rxJZmYmfn5+bNmyBYVCwYgRI9i+fXu5HKMiK0sBrpUrV2JmZsbYsWPp1q0bycnJovNvYE9SM4k4dZ3Z6w/TbcZm7N75jknL9pGoLj7t6evN61bKzn9JbCzNadvUkfbN6ho7lCqvf8em7Dt9nVyNHp2VrDhIv6D/I09M8Xoe/9p8jA37L3BowUjR+S+Dkvoz5a2gc3/hwgXy8vJ0PoSKr1LfAfD392fYsGGYmZkxatQopk6dqm0LCwtj165d2Nra4u3tzdChQwkKCiq17UV4eXnh7+/PpEmTyMzMZNCgQaxbt44xY8YUmW9eFZWlANfZs2epUaMGgYGBbNq0iddee40NGzbQtGlTSWKtCm4nJnPkQhzHLt7maEwc1+8l0a5ZXbq0asCnPp3o+Ep9bCzNOXn5LvtOX2fc226Ffn/13vNGilwenBzyOzcebRoW2r7/7E3pg6mi6tWy5uXa1Tn+5x06t3QqeecHCyFpt/5P3uIPMDFQBzY1GjJj9d/fzue5DlPmaZc/qPlmnZoHj3Jp2cSMVf+0p+0r5nofb/b6w+yOvsqhBaOoXaPac8VcVZXUnzGUVq1aFens37t3jxYtWpCUlGTw4wuGVakHAKNGjQIgJyeH9evX06PH30Vhbt68iZNT/hdCgwYNCpV3L6ntRSxatAiVSsWhQ4e02woquU2YMEG7+LSq06cAV1JSErm5ufTq1Qt3d3d8fX2ZMmVKpSqKIyVNXh5/xiZy5EIc0X/eIerCLTKycnjT1YkurRrg69GStk0ddc7Xb9+8HjWsVUU6/CXcPa4SvN5oSg1rVZEOf1V/XaTWr0Njwk/+VfoAQE4ebyvbYOQ5BwBlmna5P43AuY9Y+qkdLZuY4zX5AV+sSOI/S2vrdayPQw/yy5kbHPxmJPbVy77Av6orqT9T3rp3786VK1cAikwDqlWrFitWrDDYseXu6dejVq1auLu78/nnn/Pqq68W2iciIkJnsbBjx47RuXNn7cDq6edTKpU4ODjQpUsX5s2bV6jKd0pKCh4eHtq04+WhUg8ACpiZmVG/fv1CHe+MjAxUqvw0fiqVirS0NL3aXoS1tTXLli0rsr1Lly6Frn5XZfoW4FKpVKSmpuLl5UVubi6+vr4cO2a4VHWVTWZ2Licv3+VYzG2OXrxN9MXbONSoxpuuTnR3e4nPRr5JMyc7vZ/v8Q7DX42qiMTrYnz9OjRh9IIw5o7pZuxQZOfpaZcWFvlT9YqddrktGTNTBWMH2aCyUJD820t6HSMvD6av+pWoC7f4db4Pdjai8/8idPVnytvBgwcB8PDwYP/+/QY7jl6SdsPtD6Q/rlk9aK67T5GXl4dGoyE2Npbvv/+erl27cuTIEVq2bJn/q2ZmLFu2jF69ehUZQC1atEj7WXv6+Qr+++DBA4KDgxk2bBinTp3S7vPjjz/Sr1+/8vwXVo0BQHZ2NqtXr2bMmDHajAqWlpZkZGRgaWlJenq6ttJdaW0FHj9+XGyHMywsTOd2Ly8v9uzZA8CjR49YtWoVf/zxB2ZmZnTs2JHRo0ejUqloUv0SLmVIh3w46jDJWVf1/4UykDKWixcvMnv2bJRKJR999BHOzs7Fvpb16tXj6tWr7Nq1CxOT/JzwSqWy2P3Lw+O0HGIfZhTZ7myvwtZS2o/Sb9fVzAnTPUVgT2CrItuSM3K5dC+NP++mcvFuKjcSM3jJTkWLutV4rb4Vw4c3okY1UyAPsuO4cj6OK1V7Bo9QSeTlwf2HakI276Bu9eKnq7R2uEP9oqf6YkXsiyBHY5jObFljed7zXsEd1mPHjmkz1NWoUaPQ8xXEcva/mdSwURL49SM27UnhtebmbAiyp+nLZsXGkgesOnSXvx6k88WAhkQf/vW54qzsdP39PD09de6rqz9jKLo6/3fu3KFZs2akpqYa9Nhyp1QqadSoEZ9//jlKpZIvvvhCu5YzOzubRo0a8e9//7tQWvCff/6ZOnXqkJmZqfM5FQoFderUYcaMGSxYsKBQ27p161izZg0AP/30E5988glxcXE0adKE5cuX07Vr1zL/Gyr1AOCbb74hMDAQCwsL/vGPfzBjxgxtm7OzM3FxcTRr1oxbt27RpEkTvdoK1KxZU+cHNCwsrNgPLvz9oe7Xrx/R0X9XV9y7dy8NGzZk+fLlkBAH9/Vf0NrVvSuomuu9f5lIGMvMmTPJyclh27ZtDBkypEj70wW4YmNjmTx5MomJidoMTQMHDizxtX9RPxy4yGehz1fwqrypD1yEYgYAnp6e3IhP4tjF29o5/HEJybzRoh5vurowcXgD2jevh5XKTOfvC0JlM+gvJelWtfH0bFf8Trf3Q9JpvZ+zT+8+hlsDUMZYXvS8t3v3blatWgXkp1cu9Hz/iyVJrSFXA706qnBva4HvJ4lM+foRe1fU0RlLXh5MWBJBUq4lv634R5VLBqCv0voMBUrqzxjKL7/8wvjx47lx44Z2W61atSQ5dkXi7+9faAoQwMSJE3nnnXfw9vbWFvH77LPP2LBhQ34/TweNRkN8fDwLFy7k7bff1m6/fPkyqampNG+e37eaMGECe/fuxc3NjZ9++olp06Y9Vzpyg2cBysjIYPny5fTo0YPatWtjbm5O7dq16dGjB8HBwcWOhMrDnj17WLRoEWlpaWzcuJFXXnlF29a/f3+2b9+OWq1m+/bteHl56dVWXqKioli8eDFqtZrk5GTWrl3Lrl27yv04FcnTBbgUCoX2ocvEiRP55JNP+PzzzwkMDGT48OEVvihOeXEasYzOUzfyn+NXadnQgQ0fe/Fox1T2zR3O/43qTPfXXhadf6FK6dehCeG//WXsMGTphx9+YPDgwWRlZZU87dIi/1zs1a0agzzyb08cO6/7+ztXk8fYb/fyZ2wiEUHDROe/HJTUnzGUgIAAPv/8czIzM1EqlaSkpDB+/Hhtlj4hX82aNXny5EmhbS4uLjg7O7NhwwYAtm/fTp06dXT+3Qr6OiYmJtSvX58ffviBuXPnatvXrVtXKFFMnTp12LFjB3fv3sXHx+e5axEZ9A7AiRMn8PX1pUePHsycOZNXX30VOzs7Hj16xB9//MFPP/1Eq1at2LhxIx06lK1cuz5CQkIYPXo0X375JU2bNiUkJETb9tFHHzFs2DDmz5+Pu7s7W7Zs0autvDg7O+Pl5YWNTf4VpMaNG5OcnFzux6lIylKAS6FQEBQUVC7ZmcrDzDUHtf+fla0hNSNL+3N6Vg4ZWTnan1MzssnK+TuFoDo1i1yNRvtzUmrmU3MCISnl72lHObkaktP/fm5dohaOwrmuqKopCAU8WjfkH/PDylwVuLI7cuQI7733Hqampmzbtq3EejQtnM05fTGT9Mw8zEzzBwOWFkUv0ORq8hi9IIw7iclEzB1GNQtxsaE8lNSfMZRbt27h4+ODmZkZ1apVQ6FQMGXKFNq3b1/orkBVd/36dWrXLroYfvr06bz33nsMHz6c//u//yt28XTB971Go+HOnTssXryY0aNHc+TIEXJzc9m4cWOh6V579uwhKCiI9u3bU69ePRYvXoy7u3uZ4zboAGDq1KlERETQuHHjQtsdHR1xdHSkV69eXL16lVGjRvHbb7+V+/GbN29eaJrN02xtbfn555/L3PaiHB0dqVGjBmq1Gjc3N+2o8a233qJTp04GOWZJypoGDuDTxY+ZG5ofd96FhhJFajxJKRlEXYhjw/7iF2rXtP57LrC5mRIr1d9zjS3NTVGZ//1Rs1KZYW5qov3Z1sq8UNXYGlYW2jsfCgXUsFZp20xNlNhYmvPDgYuM/Fr3dCTR+ReEwqwtzXnT1alCVwU2hAkTJpCdnc3mzZt1dv610y4vNOS9AdacvpjJ5rBUqtvkb+/bufAaiFyNglFf/4fHKRns+dcQ0fkvRyX1ZwylSZMm7N+/n759+9KsWTP27NlDo0aNUKvVksYhd+vWreOtt94qsr1bt27Y29szY8YMrK2t6d69e4nPo1QqadCgAbNnz8bR0RHIXzdQt27dQv3oRo0aERISwurVq9m8eTOjRo3i1q1bZY7boAOAAwcOYGlZ8iKppk2balecV3a9e/cmKSmJpKQkNBpNoelP7du3Z8mSJZLHVJY0cACp6XmE/DsFpRKeumhdqaRlZnPkQhwHf4/lwPlYLt16SCdXJ2o+1RF/1sfD3pAwQnC0swZEjnlB0JfXG/nTgMQA4G9PT7t8mq67sROH23DnQQ6fr0giNzeP4X2tWPjh35nCsnKVjNzUgzSLTHZ/MRgLM5MizyFULIsXLyYwMJC+ffsyf/58xo4dS6NGjbQLxqu6O3fusH79etauXVvsRezp06czcuRINm/eXOrz5eXl8fDhQ7755httlee1a9cybNiwQvu98cYbTJs2DW9vb5ydncnNfb6ihAYdABR0/g8ePMiMGTM4c+YMhw8fZtSoUeTl5REaGkqfPn2oVq1qFAQprlMN+bdijaEsaeAA1u1KplVTMw6frjxVMLNycvnt0l1+PXeTA+diOXftPm2a1KGHW0MWvt+TDi71MDc14a+7j/nP8aukZWYX+n1j5HXv4fayyDEvCGXQr0MTPt94BE1eHkrxQQH0nHZ5+wNI2o1CAUFTahI0pWhauKxcJUO/9wBg5+fvFLrDKVRcPXr00KYo79mzp3Gm/SjNwaS69MctYYF/wZ0xKysr3N3dOXTokM5kMQBDhgwhODhYZ2KTZ59PoVBQq1YtPDw82L59OwkJCYSHh/Pdd98V2v/LL78kMDBQW0dq9erVZf3XARJlAZo0aRKff/45AIGBgcyfP5+XXnoJf39/+vTpI0UIshAbG4u/vz/R0dE4OTkxb948BgwYoG1XKBSSl9guS/VdjQa+26Bm1rgaHDxZNB1mRZGryePs1XgOnI/lwPmbHP/zDi1esqe720vMHvkmnVs66bx13aReTVL3yCf7gcgxLwj6e6m2LXVqWnHy0l3eaKH7HCeUXWaOCYPWvUU18xw2jzogOv+ViEql4smTJ0Xy1kvKtm/+Qyb06aM9vY+pqWmRC7xPt5f2fLoS5fTq1YtLly6VGkdpJBkAXLt2DW9vb27evEl8fDzDhw8nOzu73CrsVhQBAQHaW2eXL19m4MCBLFu2jEmTJhk5Mv2q7+78NY34xFyG9KqG3/9JGd2LycuDi7EJ+Vf4z8dy5EIc9e1t6Nm6IZP6t+XHWQMLzbMXBKFy8nqjKbuPXxUDgHKSlmXKoPW9qGmZycaRBzFVVtJ5oVXU9OnTmTt3LuPHj6dOnTrFZuUTKiZJBgANGjTQZv3p378/CoWCHTt20KhRIykOLxtRUVFERkbSqVMntmzZwsSJEwkMDKRevXolZl8wNH2r7y78/gmDPKywsTJ49litxCfpnL92v8j2lg0dcLQrvlLOX3cf51/hP3eTg7/HUt1KRffXXmJED1dCpr5N7RpVY9qZIAh/69+xKf7f7RVVgctBWpYp/df0pq5tGut9DmGilPbutWB4K1euRK1W88UXXxRpk3q2glD+JBkAzJ07lz59+uDo6KithLto0SKWLl0qxeFlw8LCgps3b9K2bVv8/PyoWbMmQ4cOZcSIEdpcsVIrSxq4479ncvz3TDaFpWi3KVrd5Nz2eri5FF9h80X8dukOnp9t19n2dPGtO4nJHDgfy6//6/DnavLo2bohfds3Zr5/D16qbWuQ+ARBqDheb16X+49TufVALc4JLyAl04x+oX1oXEtNyNAo0fmvpOLj4zEzE5mcKitJBgBDhgwpsgDixIkTUhxaVry8vPD392fSpElkZmYyaNAg1q1bx5gxY4pkYZBKqWngaudPC8q70LBQyk9Fq5va7cayPeoSB3/P7/Q/Sk6n+2sv08OtIZ/6dKKZk13pTyAIQpWiVCjo+3pjwn77i4lebYwdToWkzjDn7ZA+uDo+ZuXgIyLxQCUmOv+Vm0EHAM2aNcPd3Z0ePXrQo0cPbV7TqmrRokWoVCoOHTqk3VawinvChAnalGxSKksaOLnZEHmBnq0b8n6/1rzaqLb4IhIEQaen650kp6bxc93meLn9W2e9k5Q0DdO/ecx/DqWRmZVHt9dVLJ5pRwPH8vm6LEvtFUPHUlZPMszpvept2jVIYKn3MXHOFYQKzKBnkYK0n7/++ivz5s1Do9HQrVs3evToQbdu3ahZs2g6scrM2tqaZcuWFdnepUuXQtl4pFRqGrgHwXB/ftHtElz5vxT3kF3RV4pt3/Ov4tNqCYIgFHi63kltx/oM7N+PMWP8iIz8pei+ix6z+qdkVv+zFi/XM6X3+/dJy8gjYmWdco+ltNorho6lOCvDzjFhSUE8dYBx2rapXS+wsP9x0fkXhArOoAMAGxsbPD098fT0BCAhIYEDBw7w888/8/HHH2Nra8vp06cNGYJQgaSkZ/HruVgiTl8j4tR1cnI1uDa0N3ZYgiBUcDrrnRzTXe/k0KkMzM0UDO5lhYV5fi/36NnyS3tcltorho6lOEkpxR/j2wHHDX58QRAMT9L7iA4ODgwbNkxb1ex5ShcLlculuIf8fCq/wx/95x3aN69Ln9ed+c+XQ2jVyIFbD9S08Fsti+JbgiBUTLrqnVhY614nFLPz7xSha3fmJzyoX7v8virLUnvF0LEIQkk2bdrE7NmziYuLQ6MpnOK1IkwTFkpm0DPJuXPnePfdd7lx4wbvvPMOX3/9NaNGjeLEiRO89tprfP/994Y8vCBDz17lB+jzujMTvdry7/8bhLVl4WxCL9W2lVXxLUEQKq6n653QtHeJVYF3H0xj4pyHAHw9tfynq+pTe0WqWARBl6lTp7Jy5Uq8vLwwNzdMpj/BeAw6AAgICMDPzw9/f3++++47evToga+vL7t27SI4OJjJkyezb98+Q4YgDwl3wb+j/vtP7Aj1DBeO1C7cSNB2+E9fieeNFvXo87ozU7xfx6VBLWOHJwhCFfBsvZOQmGqcunyPDi5FT7Y/7E3lH58mkqvJY/FMO7x7lm/dEH1rr0gRy7OOXbzNloN/GvQYQsWQl5dHr169KkznPyU9i8u3HxXbXt3Kgib1XmwA/WwxtJo1a9K5c2cWL15cpLZVQZbHFStWMH78eJ2//7S8vDwUCkWhuysnTpxg1qxZ/PbbbwC8+eabfPXVV7Rr1+6F/h1g4AHA+fPn2bdvH1ZWVgQGBvLZZ58REBCAjY0NkydPZs6cOYY8vHzkaSA5SftjSm4e069m8p/EbDI10K2mCYubqmig+l+BrZy/p7tkZecROPcRuw+modHAO29VY/FMO8xM5TsH5klqJvvP3tR2+lXmpvR53ZnpgzvQ7bWXqGYhUosJgiAdXfVO7q09RPhvfxUZABw5m8F7sxIxNYVt82qXe4e7LLVXDB1LgczsXLYe+pOlu06TnJ7F683q8seNB7Rt6gjZcZDzBIAzt8WarKpkwYIFfPHFF8ycORN7e/n/7c9fe0CXaRtL3e/pGkLP4+kO+qNHj1iyZAnvvvsuR44cKbTfihUr+OCDD1i1apV2APD07z7b2X/W+fPn6du3L0FBQezcuROADRs20Lt3bw4dOkSrVq1e6N9h0AFAamoqVlb51VptbfOLrtjY2ABgZWVFSkpKsb9bmc28lsnqu1msdlHxskpJ7/NppOVmEOFW9OT+7QY1q7Yns/Zf9igUMHp2Ik1eMmPau4YrYnPvUQpHY27n/6DOhifOAHR46QEv1Sz6N8vLg/N37Ym45ETEmijO3winc0sn+r7emI+HdXzhEbcgCMKL0FXvpF/7JkwJjuTLf7hrr8rlXWjIhH89JDsnj83zHAzS4S619oqEsdx7lMKKPWcJ+fk8bo3r8K/33OndzhmlQkH4yWucuRoPmAH2/4ut3EMQZGzGjBmo1WoWLlxYpK0irgHo16EJ4b/9Va7PaWdnx/Tp01mwYEGh7WfOnEGtVrNgwQJatmzJiRMneOONN8r03HPmzGHmzJlMmDBBu23y5MkkJSXxr3/9i23btr1Q7GI1kREcepyDuRIG1zbD4n8n1KNPcnXuu21fKgD93C3J/d8uW39ONegA4OzVeIbO2fnUFg/t/+V9uxqAR2kWRF5xIuK/DYi45IS1RQ59XOKYNbQ57m07oTIXby1BEOShuHontd75jrgEdeF9/8q/Azt0egKQoN1eXqmPy1J7xVCxnPjvHZbuPkPEqev4dH+FQwtG0typ8HTMxzum5v/P7Q8gafcLHU+omOLj4zE1Fd/lJUlKSmLevHl07Fh4mndwcDBTp07FxMSEadOmsWLFe+ZGEAAAIABJREFUijIPAKKioooMLAB8fHxYunTpC8UNEgwAnp3vVNL8p6oipoO19v/X3ss/wde30P26XI3NAcCuupKCRfiXb2br3FcK//qlDT9fakDMPTu6ON+jb4s4Zr11lib2//sSbfIZiM6/IAgyUtzVyn98E0bYib/y2//X0TV0jZNSa68YKJasnFx+irrE4p2neZiczqT+bQgO6E11K4tyO4ZQuYjOv24F/VilUslrr73Gq6++yqZNm7TtSUlJ7N+/X1v3ydfXl6+++opHjx5hZ6c7+5gujx490llAt379+jx6VPxaB30Z9K9bEW8RSWl3Yg4TL6cD8HVjlc590jLye/2mJgry/rdEIDVNo3NfKTxOt+Dz3mdwb3wPlanuuxaCIAgVgWeHJnwfeYEJXm2MHYrB3H+cyqrwc6wMO4drQ3tmj+xEvw5Nis1+JAgFYmNjmTlzJlFRUSQmJuLg4ICHhwdff/21zo6pobw8ajm3HqhL37EUBdN/FL3m6rX/5pn9GdHDtcj2gr5tYGAgHTp0YOTIkYXav//+e27dukW1aoWn7a1fv55p06bpHa+9vT137tyhcePGhbbHx8dTu3ZtvZ+nOGJ4ZyQ/3M/mH3+mk5sHi5up8HbQ/aewslSSnKohJzdPewfAuprSoLElPkkvtk0UgREEobLo1bYRY7/dS3pmDpbGDqacnb5yjyW7ThP+2zWGuLuwf54Pr7ws/4WcgnyMGjWK7t27s3jxYmrVqsXDhw9ZsGABvr6+REZGShZH7KZJeu13NOZ2iYuAC9YAvOgi4ALffPMNPXv2pG3btri4uGi3r1y5kj///JMWLVpot125coX+/fszdepUvWfCdO/enU2bNvHPf/6z0PYtW7bQs2fPF47foAMAExMTzMzMyMzMLHafqniX4EhSLu/9mY6pAra1rFZs5x/ApZEZp2IyefREo10D4Nqk/LPo5Gry2HvyL1aHn+fwBVGgTRCEyq+6lQVtmzoSefYG/RsYO5oXl52jYcexyyzZeZq7D5OZ1L8tiye+RU1r3XeYBaEk58+fJyIiQpvMpXbt2nz22WfFFq6raiwsLAgNDeW9997j4MGDWFpacuDAAaytrQt1/gGaNWtGjRo1OHDggN6d99mzZ9O5c2dq1qzJe++9h0KhYOPGjXz77bfFVg8vC4MOAGJjY4mIiCA2NpY6derQu3dvmjZtashDVggTLqeTnQebXS11dv4V/XYA+Qu9hve14lRMJnsOpZOryR8sjexnXeR3nldcgpo1Eb+z5uffeal2dcb1c2PJxF60ej+E1Ixnqu+W21EFQRDkoX/Hpuw5cbVCDwASnqQRsvc8wXvO0qy+HR8O7YDXG00xUYqztvD82rVrR1BQEIGBgdjb2/Pw4UO+++47Xn/9dWOHplMN6/z1LB5tGupsd2tcu9yzALm4uPD+++8zceJE1q1bx4oVK/D19dW5r6+vLytXrtR7AODq6sovv/zCzJkz+fTTT4H8OgCRkZE0b978hWNX5El0Cf7ixYts3ryZEydO4OLiQp8+fejevbs2LWhlERYWhqenZ+GND26Dz9/zyBQHdM9ly+thW6g970JDcnLz6wD8OzINpRJGvG3FN9PtUD49C6hJBKj0fzPkavL4+dQ1VoWdI/rPO4zo8Qrj3m5Nq0YORXdOWAH35+v93GWNRRAEwZiu3X2M+/RN3J5/DcWTMmS7afEHmBjo+0vPzDvn79RiyZGW7PrzNQa7uzC5f1tedX7xucHPE4tWyxvle/xKTmefQSZu377NzJkzOXDgAA8fPtSuAQgKCqJePXlWK6056DuSUjKKbVcoQLOvfKYAVXSSrQFwdXUlKCiI3NxcFi1axMSJE0lKSqqStQAKOvrFtocPgpfOAvmLf4Nn1yJ49otXzL2dmMyan39nTcTvODnYMO5tN7bN9sbSQiwFEQSh6ol/lEpSaibmpib88JslLtb5c+SbOzzB2kLabGsZWTmkZ+VnfSNVCen5VzNtLLIxVf6d+CFHo2TXhYYsPerKzUc2TOj0J1fXj6eWbWVbxSAYm5OTU6HsNhWBNn2tUCrJen6nT5/mhx9+4NSpU7z66qsEBwfTo0cPqQ5fZRVc7V8dfp5jF2/j0/0Vwv41pPyvEgmCIFQw63/5g0/WHgJg1GpbYJC2raDmiVQW7TiljQUcgH8UiuVhqorQ31wIPvYKL9dMIbBLDANb3cwfHIjOvyAIZWTQAcDVq1f55ZdfiI2NpWHDhkyaNKlIOiPBMO4kJufP7Y/4nXq18q/2b501gGoW5b+AWBAEQTCccdvc2f67M96tbrBrzC+0rp9o7JCESkyhUJCXl1ditpqqmMClsjHoAKBZs2aoVCqysrLQaHTnrhdvovKTq8kj4tQ1Vu89z9GY2wzv1oI9X4qr/VWFQqFg0KBBfPvtt7z88svGDkcQhHLysl0yVz7ZioN18XObBaG8FPTLRP+scjPoACAtLQ1Ly9JvTaanp+u1n6Db3UcZrDl4jNCfz1PXzppx/dz44ZMBWKnE1X5Du3LlCr6+vvz5558MHz6cRYsWMWzYMA4dOkSbNm1Yv349zs7OksVz9OhRXFxcmDRpEh999FG5FAsRhKpIMW1cKXssK/uTRn4KtV2heT9Q1dD712Z5nCv7sQRBEEpg0AFAz549+eGHH2jYsGGx+1y/fp2RI0dy/Hj5F5i6ceMGY8aM4dSpUzRu3JjVq1fToUMHIL9Us4+PD9HR0XTq1ImtW7dSvXr1UtvkQpOnIOJSA1Yfd+FI7H6Gd2vJf74cwmviar+kAgMDOXnyJAChoaHcu3eP8PBwAI4cOcLkyZPZu3evZPFcvHiRyZMns3DhQlasWIGnpyeDBg3i1VdfxcnJqdJl3RKE0uTk5LBo0SK2bt3K5cuXSU9Pp0aNGri5ueHYqgfFJTgudQ3Ac2QBUig+pTYJqE8tKTJI/3rr8afWAAhCYSX1Zwzl4MGDzJgxgzNnznD48GFGjRpFXl4eoaGh9OnTx6DHFgzPoCVlFyxYgIeHB5MnT+bgwYMkJiaSnZ1NYmIiBw4cYOLEifTu3Ztvv/3WIMf38/Pjrbfe4sGDB0yePJn3339f2zZ37lzc3d2Ji4uja9euzJs3T682Q0nEkv2KhvmPW7bsv1Kf/VfqE59cuJT0XXU15kS2odEcH77Y1wYv11vErunD8oDeVabzf+XKFTp06ICNjQ3+/v6kpqbi6emJtbU17u7uXL9+XbJYTpw4wb59+0hLS2PlypWEh4cTGhpKeno6kZGRREdHSxYL5JcO37p1K/v376dp06Zs27aN4cOH88orr2BrW3L2KUGojAIDA/nwww85c+YMKSkp5ObmYmpqSlRUFJsXzcLszokiv2PI7PkXL15kwIABLFy4kEaNGjFs2DB+/PFHapkkQ04m4952Y1zXdMZ1/C/jOv7XgJEIFUlJ/RlDmTRpEh9//DGQ/zmaP38+P/74I9OmTTP4sQXDM3gdgPT0dFavXs3OnTu5ePEiSUlJ1KhRA1dXV7y9vRk3bpzBpv+sXbuWkSNHYmFhQXJyMnXr1tWmHXV1dWXXrl00bdqUy5cvM3ToUH7//fdS20qjTx0AXcIVjfFUDtHZlrswhH2XnFh9ogVHrjsy9LXrjOv4X9zqP8zfwZC592VYB6BPnz7s27dP+3O/fv20V90B+vbtK9lVd1tbW3bv3k337t21HYvc3FyUSiVHjx6lV69epKWlSRJLwcKtAnl5eRw6dIjNmzdz+PBh4uLiyMgQc4iFqqV69eoEBQVpvwu2bdvG4cOHCQ4OZs2aNXz99dfExcWVPd/9c90B+Psz+uuvvzJ9+vSi3y1vBT3zO6BZWMrdCEPm3hd1AAxK3zoAJfVnDMXCwoKUlBTu3LlDhw4diI+PJzs7G1tbW/FdUgkYPA2opaUlU6ZMYcqUKYY+VBFjxozR/v/+/ft54403tD/fvHkTJycnABo0aFDoqnFJbcbgPMeH2jbpjHvjv2wccVDy/NRyU3DVvUuXLmzYsIHx48cTGhrKyJEjOXr0KIMHD5Yslk6dOtG7d2+ysrIwMTEp1AHv2bMn7u7uksXyLIVCQffu3enevbvRYhAEYzMzM8PBwQELCws0Gg1KpZJt27axdu1a3NzcSEw0Tkadnj17cu7cuaKD9F8+KXunW6j0SurPGEqDBg34448/+Omnn+jfvz8KhYIdO3bQqFEjgx9bMLwqUQHq0qVLTJ06ld27/z6hZmRkoFKpAFCpVIWu0pbUVuDx48ccO3ZM5/HCwsIK/WyZ/BD9Cj/rtrOUtG+How6TnHX1BY5QvCbVL+FSU//9DRlLgaysLE6fPk1WVhZ169YFoHbt2uzfv58///yT9PT0In8DQ/H29ub27ds6j9eoUSMGDBggWSx79uyR7FiCUFG0bNmSYcOGFdrWokULwsLCGDJkCA0aNCAsLIzWDneob6X/80bsiyBHU/a717o+owMHDmTgwIHa9rLGYsjPvZxiqax0vWbF3RXQ1Z8xlLlz59KnTx8cHR3Zs2cPAIsWLWLp0qUGP7ZgeAafAmRsFy5cwMvLixUrVtC3b1/tdmtraxISErC0tCQ1NZW6deuiVqtLbSuNIaYAlboYrQpOATpw4ABZWVlF2iwsLHB3dycyMtKgMVQ0BfmcK/nHXRCKePjwIR988AERERFkZ2fz5ptvsnTpUpydnfHy8uKf//wn7dq1k2QKkN7kNO1GTrFUQvpOAYLi+zOC8Dwq9R2Au3fv4unpSXBwcJEPi7OzM3FxcTRr1oxbt27RpEkTvdoE41uyZAljx47V2damTRsWLlwocUS6iU63IBhfrVq12Lhxo862gquaciDOF0JJSurPCMLzMGgWoNLk5OQY9Pk//PBD3n33Xfr161ekrX///mzfvh21Ws327dvx8vLSq81QWuUlUI2ic/sNmY2iomrWrBlRUVE6244fP86rr74qcUTyl5eXJzoWgvAMhUJRYrVTQZCLkvozhnLw4EHatm0LwOHDh2nQoAFOTk5ERERIFoNgOAYdABScXHU9lEqlwdMSbtmyhTlz5hQ67l9//QXARx99xNGjR2nQoAGnTp3iww8/1P5eSW2G8hJqUnMXkpf7NXkfnCbv29XkfbsaTWnTf4RC5PSFLjrdgiDoS5wvhJKU1J8xFJEGtHIz6BSggpPZrl27+P333/H398fe3p74+HhWrlxJ+/btDXl4NBpNsW22trb8/PPPZW4TBLmKjY3F39+f6OhonJycmDdvHgMGDNC2P5smVBCqOvF5ECqKkvozhnLt2jW8vb25efMm8fHxDB8+nOzsbKNnRhTKhyRTgMaOHcv06dOpV68e5ubmvPTSS8ycObPYedyC8LzkdhVNyrsRAQEBREZGkpqayuXLlxk4cCDLly+X7PiCIJQsJyeHBQsW0K5dO2xsbDA1NcXe3h4PDw9++uknY4cnCIUUpAFdtWqVSANaCUkyAKhbty6LFy8mISGBnJwcEhISWLJkibYEuiCUh/Pnzxs7BKOKiorSDgBCQ0MxNzcnMDCQnTt3Gjs0QTCaM2fO0L9/fwCuXr1K3759qV69Oo6Ojvj5+fH48WPJYimpKvGQIUNYvHixZLEIQmkK0oCGhYUxa9YsQKQBrUwkGQBs376dU6dO4erqSrVq1XjllVeIjo5m69atUhxeqCJat24t+TFLWuci9VoECwsLbt68SWZmJn5+fmzZsgWFQsGIESPYvn27pLEIglyMGzeOgwcPAjBy5EgiIiJQq9Xcv3+ftWvXEhgYKFksmzdvZtmyZTx+/Ji0tDTWr1/P22+/jVqtZtmyZSxYsECyWAShNEOGDCEhIYELFy7QsGFDIL8Qp4eHh3EDE8qFJAMAFxcXdu3axYMHD8jKyiIhIYG9e/eKbC3Ccympsy11x1suC44BvLy88Pf3x9HREYBBgwaxbt06cnJyGDp0qJGjEwTjuHjxojbdZ0xMDJs2bSItLY2UlBQ2bNjA3r17JYuluKrEKpXKqFWJBUGoeoyaBlQQnpdSqZRF5zskJIRZs2Zp1x48+5DSokWLmDRpEk2bNtVu8/X15cCBA7i6llyIThAqKwcHB2JiYsjIyGDkyJGoVCqUSiVZWVk8efIEExMTyWLp3bs3w4YNo1q1alhbW/Puu+/y2muvAfkFDlu1aiVZLIJQmqSkJCZNmkSjRo1QqVQA9OzZk2PHjhk5MqE8SDIAEG8ioTx98skn2NnZ0a1bN9asWYNardZ2tqXuePv5+eHq6kpQUJBkxyyOtbU1y5YtIyYmptD2Ll26EBMTI6vF0YIglRkzZhAQEICtrS27d+9m8ODBqFQq7OzsCAgI4P3335csliVLljBq1Cjs7e2pXr06b7/9trZIWbdu3QgODpYsFkEojbe3N9WrV+fkyZNkZmYCMGLECEk/M4LhSDIAEG8ioTwFBQVx8+ZNvL29+eqrr3B0dMTX19do8fj4+PDpp5/qbJOy0x0bG0uvXr2wtrbGxcWF3bt3F2qXwx0TQZDalClT2L59O127dkWj0WBiYoKVlRXt2rUjODiYL7/8UrJYCqoSJyQkkJSURHh4OM7OzkB+VeJ27dpJFosglOa3335j1qxZODg4aLcNGzaMW7duGTEqobxIMgAQbyKhvFlZWREQEMDVq1fZsGED165dM0occup0izSggqDb4MGDiYyMJDExkZycHFJSUjh16hQTJkyQ1cBYTrEIQufOnZkzZ452bYparWbevHl07drVyJEJ5UGSAYB4EwmGolQqeeedd4iOjjbKFBc5dbpFGlBBKDvR6RYE3b7//nuuXbtG8+bNMTMzw9XVlfj4eNatW2fs0IRyIMkAQLyJBClJ+YUup063SAMqCPImp7TBglCaunXrsm3bNh4+fEhWVhZxcXGEhIRgb29v7NCEciBZITDxJhIqIzl1ukUaUEEoSk6dbtHJFyoSlUqlXbcpVD4iDahQ4cjpC11OnW6RBlQQipJTp1tOaYMFoTTTp09n7ty5xMfHi/dnJSTSgAoVjpy+0OXU6RZpQAWhKDl1uuWUNlgQSrNy5Uq++uor6tatq629I6arVR4iDahQ4cjpC70idbrFSVuoiuTW6ZZL2mBBKE18fDzZ2dlG/54VDEOkARUqHLl9oZdEdLoFwfgqSqdbnC8EOTEzMzN2CIIBiTSgQoVUUb7QpSSntRGCUFGIz4Yg6BYTE0O/fv2wt7fH3Nyc2rVrM3DgQC5fvmzs0IRyINKACpWOlF/ocup0i46MIMibnM4XglCa/v3707FjRy5dukRaWhoXL17Ezc0NT09PY4cmlANTKQ5SkAZUECobhUIhmzsOISEh3Lhxgzlz5uhsFx0MoSqS0/teTucLQShNQkICU6dOxcrKCgAHBwemT5/O4sWLjRyZUB5EGlChwpHTVTQ5LUiuSGsjBOP766+/6Ny5M9bW1nh6enL9+nW6deuGlZUVXbt25caNG5LFcuXKFTp06ICNjQ3+/v6kpqbi6emJtbU17u7uXL9+/bmfW04DADmdLwShNCEhIdo0oLm5udy/f5+FCxcSEhJi7NCEciDJAEDMIxPKk5y+0OXW6RZrIwR9BQQEcOzYMVJTUwkPD8fd3Z3Dhw+TlpZGVFQUgYGBksUSGBjIyZMnSUlJITQ0lGHDhhEeHk5qaipHjhxh8uTJz/3ccup0y+18IRienL6vymr06NHaNKCmpqY4OjryxRdfMGTIEDFtrRKQZAAg5pEJ5UlOX+ggOt1CxXTixAn2799PdnY2kZGR3Llzh/3795OVlUVkZKSkdVpOnDjBvn37SEtLY+XKlYSHhxMaGkp6ejqRkZFER0c/93PLrdMtzhdCRaFWq4v9nhV3rSo+SQYABfPI7O3tMTU11c4jK8gKJAhlIbcvdEGoqExMTFAoFGg0Gu02Y1zZ02g0mJmZYWlpydixY4H8q48qlQqVSkVWVtYLPb/odAuGIqcpqeVNpAGt3CRZBFwwj2zy5Mk4ODiQmJjIihUrxDwy4bn5+PgU21blvtA1GZCXqf/+SmtQmBguHqFC6NixI927d9f+7OTkhIeHh/ZnKe/QdurUid69e5OVlYWJiUmhz3DPnj1xd3eXLBZBKIvKvLB748aNfPbZZ8TFxRW6SABV8Hu2EpJkADB69GgyMjL46quvit1HvJmEZ50/fx43Nzdjh6Gbeh+kHNZ/f4dAMHM0TCwJSyBhhf77N4kAVXPDxCJUGEuXLuXdd9/l3Llz9OzZk2XLljF27Fiio6Nxc3OTNNPHkiVLtFf+n9WmTRsWLlwoWSyCUBaVOfvatGnTWLlyJV5eXpibmxs7HKGcSTIAUKvV4laSUGatW7eW78Aw/Xd4tEX//e3+YbgBgCA8h8aNGxeZ5x8ZGWmUWJo1a0ZUVJTOtuPHj0scjQGc2Aezhuq//7yeoDJcOEL58fPzY8uWLQQFBRU7zayiysvLo0+fPqLzX0lJMgAQnX+hJCVdISlok+1AQBAqITl97p47ltMHYM5o/ff/v9dB9HOE51BZp6QGBQXxf//3f3z66afUqlXL2OEI5cygi4AvXLhA27ZttQu49u3bR/PmzbG2tqZPnz7cuXPHkIcXKhClUln6rdKEFRDTSP9HhkgzKwhVVk42JCfp/3hmjrMgXzk5OSxYsIB27dphY2ODqakp9vb2eHh48NNPPxk7PK2KvhDYwsKCtWvXYm9vX6kWNwv5DDoAmDBhAj4+Ppibm5Oamsro0aPZuHEjsbGxNGjQgICAAEMeHoCtW7eiVBb9ZyYlJdG3b1+qV69O3759efLkiV5tQvn75JNPsLOzo1u3bqxZs0abegwQqcYEwQjk9LmTUyyCPAQGBvLhhx9y5swZUlJSyM3NxdTUlKioKIYMGVJpK9UW158xlGnTphEaGkpmZqZI/1kJGfSddP78eSZMmADA3r17adeuHe3bt6dWrVp8/fXXHD5chkWUz+HYsWP88ccfOt+sc+fOxd3dnbi4OLp27cq8efP0ahPKX1BQEDdv3sTb25uvvvoKR0dHfH19jR2WIAiCIEObN29m2bJlPH78mLS0NNavX8/bb7+NWq1m2bJlLFiwwNghAuU7eC2pP2MoSqWSXr16iTUAlZTBh5ImJvnpBvfs2cNbb72l3a5QKMjNzTXosU+ePFlsrviwsDAGDx6Mra0t3t7ehIeH69UmGIaVlRUBAQFcvXqVDRs2cO3aNWOHJAiVWkWZRgEVO5OKUP7MzMxwcHDAwsICjUaDUqlk27ZtqFQq3NzcKmWNoZL6M4by7bff8uWXX1bK11Mw8ACgdevW7N+/nxMnTrBz5068vLwAyM7OZt68eQbP7Tx16tRi227evImTkxMADRo04Pr163q1CYalVCp55513iI6OFrcZK7CK1LmU0pkzZ+jfvz8AV69e1U41dHR0xM/Pj8ePH0sWS1WdRiFUfL1792bYsGFUq1YNa2tr3n33XV577TUA+vTpQ6tWrSSLRapzXUn9GUMJDAzku+++w8HBQawBqIQMmgVo0aJFjBw5koyMDJYvX07Dhg0BOHv2LMePH2fTpk2GPHyJMjIyUKny86ypVCrS0tL0aivw+PHjIin0CoSFhRX62TL5IT3LENvDh4+o9ZL++x+OOkxy1tUyHKF0Xl5e7NmzhybVL+FS03ixFAwa5RDL01xq/kWT6iKW4qxYsYK9e/cW2pabm8vhw4f59ddf8ff313aEq5IPPviAO3fuEBYWxrRp07h6Nf/voFarWbt2LTdu3GDatGmSxPL9998zfvx4unXrhpmZGUeOHCEmJoYJEyYQGRnJnDlzaNy4sSSxFHzOS/LsebU0tW+co30Z9n/8+BE16+q/f8S+CHI0lrKIpayvTVm0drhDfSt5xFLA09OTe/fucebMGXJzc2nRogWjR48mLCyMFi1a4OPjI0kcUD7nOl2xSlmIrzgJCQmYmkqSLFIwAkVeFbjMqqtSn7W1NQkJCVhaWpKamkrdunVRq9WltpUmLCys6Af3wW3wcdU/4Oke8NJZ/fc3QGEn7WuWsALuzzdaLIVSABo5lkLuz5dP8S05xfI/1atXJygoiJEjR2JhYcG2bds4fPgwwcHBrFmzhq+//pq4uDiDxlAgNjYWf39/oqOjcXJyYt68eQwYMEDbLmUlT5VKRUREBN26daNatWqEhIQwaNAgNBoNO3bs4IMPPuDhw4eSxGJvb09wcDBeXl7a40+YMIGUlBSOHTuGh4cH6enpksSiVCpL/RuU+W/0XLn3z+m/f4s/wMRGHrG0vKH/vmV1+wNI2i2PWGToRc91OvsMJajMlYcFaUm3nFxmnJ2dtR/KW7du0aRJE73aKotnb+fJ9faeyDhQMclpjm5AQACRkZGkpqZy+fJlBg4cyPLlyyU7/tMcHByIiYkhIyODkSNHolKpUCqVZGVl8eTJE+2aKSnIaRpFSEgIs2bNKpJpRHz+hbKS+jtMTue68hYbG4uPjw/169fHwsICJycn3nvvPeLj440dmlAOquwAoH///mzfvh21Ws327dsL3YIuqa2ykFMnvyIRr5t+5NS5jIqK0g4AQkNDMTc3JzAwkJ07d0oWQ4EZM2YQEBCAra0tu3fvZvDgwahUKuzs7AgICOD999+XLJYlS5YwatQo7O3tqV69Om+//TYbN24EoFu3bgQHB0sWi5+fH66urpIvchSEFyWnc115GzVqFE2bNuXcuXOkpaVx9uxZateuLbL0VRKVenLX0521Z6tJfvTRRwwbNoz58+fj7u7Oli1btPuW1FZZhISEcOPGDebMmaOzXcqO7tO3NO/evUtgYCAHDhzAwsICb29v5s+fj7W1tWTxCC9uyZIlKJVKIiIiyM7O5s0332Tp0qVAfufyn//8p2SxWFhYcPPmTdq2bYufnx81a9Zk6NChjBgxgg0bNkgWB8CUKVOoX78+q1at4ty5c5iYmKBSqWjRogVjxoxh/PjxksVSq1YtbYeR+Ec6AAAgAElEQVT/WXv27JEsjgKVtZqqIC2p3ytSnetK6s8Yyvnz54mIiMDKKn8RSO3atfnss8+oX7++QY8rSKNS3wEo6Vayra0tP//8M0+ePGHPnj2FOpgltVUWcr3i5u/vz7///W8eP35MfHw8K1as4OOPP5bs+BVlapTcFXQuExISSEpKIjw8HGdnZyC/c9muXTvJYvHy8sLf3x9HR0cABg0axLp168jJyWHo0DLMyy4ngwcPJjIyksTERHJyckhJSeHUqVNMmDBB8oF3gbt37zJ48GDs7OyoW7cuEydOJCUlRbJY5JQdSZBeRc4aJtW5zhhT49q1a0dQUBD3798nNzeXBw8eEBQUxOuvv27wYwuGV6kHAELJfHx8+PTTT3W2GeuKW1RUFIsXL0atVpOcnMzatWvZtWuXZMcXnXzDk3owtWjRIiZNmkTTpk2123x9fTlw4ACurmVYnG9gxhxkGnvgPW7cOA4ePAjAyJEjiYiIQK1Wc//+fdauXUtgYKBksQjSK2tK2r/++ovOnTtjbW2Np6cn169fp1u3blhZWdG1a1du3JBuIbKcBtLlbePGjcTGxtK6dWuqVatGmzZtuHfvXrF3DoWKRQwAhCKM2RFxdnbGy8sLGxsbrK2tady4McnJyZIdXyxGrHysra1ZtmwZMTExhbZ36dKFmJgY8XfF+APvixcvaqcdxcTEsGnTJtLS0khJSWHDhg1F0iwKlUtZK/sGBARw7NgxUlNTCQ8Px93dncOHD5OWlkZUVJTRBozGHkiXNycnJzZt2sTdu3fJzMzk9u3brF+/nnr16hk7NKEciAGAIAuOjo64uLiQkJCAm5ubdvtbb71F27ZtJYtDrlOjKhM5DabkNLXLmK+LsQfecsqOJEivrJl0Tpw4wf79+8nOziYyMpI7d+6wf/9+srKyiIyMLLZGj6EZeyAtCGVRqRcBC89H6k5I7969SUpKIikpCY1GQ2Zmpratffv2LFmyRNJ4xGJEoapwdHSkRo0aqNVq3NzcePLkCZA/8O7UqZNkcRRkR5o2bRo1atQgNDS0UPvs2bMli0WQXkEmnacVvP+Ky6RjYmKCQqFAo9Fotxl7QP/0QBqQfCBdXu7fv8/MmTNZt25dkbbBgwezYsUKHBwcjBCZUJ7EHQChkPPnz0t+zIiICE6cOMGlS5eIj48nIyNDG8uRI0dkk0bN2F8uFUlFWdQp9VV3Ob0uvXv31lZnN/bAe8qUKWzfvp2uXbui0WgwMTHBysqKdu3aERwczJdffilZLIL0ypqStmPHjnTv3h1TU1N69+6Nk5MTHh4emJmZ4eHhwZtvvilp/HK5g11epk2bRq1atXS2tW3blpkzZ0ockWAI4g6AUEjr1q1lc5VbTrEIZTNu3DiuXLkC5C/qPHXqFABqtZq1a9eSlZVVJReSyel1iYiIKLbtyJEjksTwtMGDBzN48GDJjysYX1lT0i5dupR3332Xc+fO0bNnT5YtW8bYsWOJjo7Gzc2tyKJhQ5LbHezy8Msvv/DHH3/obHvvvfdo3bq1xBEJhiAGAFVUSVeypcoxLMdYSiKHGCqKixcvajuYBYs6Bw0ahEajYceOHXzwwQeSxRIbG4u/vz/R0dE4OTkxb948BgwYoG1/ug6FocnpdRGEikDXd0Djxo2LzPOPjIyUNK4CchtIlwe1Wo2dnZ3Otpo1a5KUlCRxRIIhiClAVZhSqZTNlBY5xSIUpVAoeOedd4iNjdVrfzkt6gwICNBWAr58+TIDBw5k+fLl5fLcZU0BKKfXRRAqqitXrtChQwdsbGzw9/cnNTUVT09PrK2tcXd35/r168YOsUJr2bJlscUAf/zxR9lMyxVejBgAVFGffPIJdnZ2dOvWjTVr1qBWq7VXWKSeFy2nWOSUX1pujh49iouLCzNmzODBgwcl7luwqNPW1pbdu3czePBgVCoVdnZ2BAQE8P777z93HGUdjERFRWkHAKGhoZibmxMYGMjOnTufOwZd9EkBaMjXpUJ6sgfuz9P/kZdZ+nMKlYqu74DAwEBOnjxJSkoKoaGhDBs2jPDwcFJTUzly5AiTJ082UrSVw5w5cxg3bhxLly4lLi6OzMxMrl+/zty5cwkMDBRZ8ioJMQCoooKCgrh58ybe3t589dVXODo64uvrW+VjkVN+aTktGIX86SsDBgxg4cKFNGrUiGHDhvHjjz/y3//+t0imC0Mv6izLYMTCwoKbN2+SmZmJn58fW7ZsQaFQMGLECLZv3/5CcTxNnxSAhnxdsrOz+fbbb2nfvj3Vq1fH1NSUGjVq8OabbxIcHPx3tpT78yGmkf6P3PLPYqK9c5L8KySs1P+hySr3WKqq2NhYevXqhbW1NS4uLuzevbtQu5zvyJ44cYJ9+/aRlpbGypUrCQ8PJzQ0lPT0dCIjI4mOjjZ8EA/XQ9wk/R8VSN++fdm9eze//PILnTt3pkaNGnh4eBATE8ORI0d46623jB2iUA7EAKAKs7KyIiAggKtXr7JhwwauXbtW5WORU35puVVHtbe3Z+vWrezfv5+mTZuybds2hg8fziuvvIKtrW2R/QcPHkxkZCSJiYnk5OSQkpLCqVOnmDBhwgt3LsoyGPHy8sLf3x9HR0cABg0axLp168jJyWHo0KEvFMfT9M2lb6jXZfLkyUyfPp1Tp06hVqvJzc3lyZMnREdHM2nSJD766KMX+ecJlYwhp8aVt2c/FxqNBjMzMywtLRk7diwAo0ePRqVSoVKpyMp6/oGi3neB08/Dk736PyqYLl26sGfPHmJjY0lPT+f69ets3ryZV1991dihCeVEDAAElEol77zzDtHR0UZf6CqHWOSSX1qu1VF79uzJuXPnOHDgAH5+fjRp0gQLC4tC+xj66mJZBiOLFi1i0qRJNG3aVLvN19eXAwcO4Orq+kJxQNlSABryddmxYwehoaHcu3ePzMxMbUaSu3fvEhISwg8//PDcz11WBZ+X4h6C8Uk1Nc4QOnXqRO/evYH883VeXh5KZX53pmfPni+UBlROd4EFwZDEAKCKqsi3fw1JTvml5bxgVKFQ0L17d0JDQ7l69aq2dkMBqa4u6jMYsba2ZtmyZcTExBTa3qVLF2JiYl5ooFnWXPqGXpCsUChQKpXaRfVKpRITExNMTU0lHVBX1fNHRSLV1Dh9lHXAuGTJEt544w2dz9WmTRsWLlz43LHI6S6wIBiSGABUURXp9q+Uli5dSqdOnbC0tMTT05OjR4/i4eFBtWrV6NSpk6T5peW0YLSsnUcpry6WNhgx5GC3uCJ2gM4idoZ8XQYMGICfnx916tTBzMwMhUKBmZkZderUYfTo0ZLm2A8JCWHWrFnaBZzPPgTjk2pqnD7K+hls1qwZUVFROtuOHz/+wtNU5HIXWBAMSdQBqKIKOiKdOnViy5YtTJw4kcDAQOrVq4e3t7c0QTy4DStn6b9/LyuwNlw4IK/80lOmTKF+/fqsWrWKc+fOYWJigkqlokWLFowZM4bx48cbJa5n6crTXXB1sW3btvj5+VGzZk2GDh3KiBEj2LBhwwsdr6wdyILBLqAd7C5btoxJkwy7ME/q12X58uU0btyYbdu2cfXqVdLS0rCyssLFxYXhw4dLOnWh4IpyUFAQn376qWTHFfS3aNEiVCoVhw4d0m7z9fWlYcOGTJgwgYsXL0oWS0hICDdu3GDOnDk626XseBfcBS5QcBe4gKenp2SxCIIhiTsAVZQsbv+mPoHDu/R/PLovTVwlkPoKkCEX0hqSsa4u6rpKJ6e5zoZ8XczNzZk5cyZnz54lOTmZ3Nxc1Go1J0+eZNq0aZiaSnu9x8fHp9jOv7gLYHyGnBpXVn5+fri6usoivaSc7gILgiGJOwBVVEFHZNKkSWRmZmo7ImPGjJH89q9QdnKvkCynq4uGvOpeEjm9LnJ6v8gpFkE3Y/yNfHx8im3TxpFxBXIS9H9S67Kv2ZLTXWBBMCQxAKii5NRBkxM5X1WvSAquLj6r4OqioejqsMhpsGus10UQKjKFQpH/2U4MhqTdpf9CgZblW7hRDF6FykRMAaqi5HT7V04qygBA6sWUZa2+KyeGTANaUV4XOS2+lVMsgm7ibyQIlZ8YAAjCU0T2kuKVpfquIZW1QrKhB7tyeV2Kc/78eWOHIAglqih1I8T3gFCZiAGAIDxFTovRrly5QocOHbCxscHf35/U1FQ8PT2xtrbG3d2d69evSxpPWarvGpLcKiTL5XUpTuvWrSU/ptzeu0JRcqoFI6dOviBUFWINgCA8Q6/FaBIIDAzk5MmTANoKr+Hh4UB+jvnJkydLWg24oPquv78/06dPZ9u2bWzbtk3bnj9HdzU82qz/kzpvA9M6ZYrj4sWLREREAH9XSB40aBAajYYdO3bwwQcflOn5XpRer8vjH+HJHv2f1GkxmNYqUxwldaKknrsst/euUJSx0uPqIqc0oKXRrkcQhApODACqmjvXYc5o/fcf7gxl64cI5eTEiRPs27ePLl26sGHDBsaPH09oaCgjR47k6NGjkhZ2elpB9d1Dhw6xefNmDh8+TFxcXH5jbhJk3dL/yfJyy3z8ggrJb7zxRqEKyRkZGYUrJOcmQa5a/yc2qweK5z8llvi6ZMVCShkqiOZllr6PDkqlUhbTFOT63hX+JotaMP8j6kYIgvTEAKCqyUqHK2WYE5xqLwYARqLRaDAzM8PS0pKxY8cyfvx4Ro8ejVKpRKVSkZWVZbTYCqrvPl0wRyoFFZKnTZtGjRo1CA0NLdQ+e/bs/P9JXA0JK/R/4ubH8gcBL8CYr8snn3xCSEgIrVq1YtSoUQwZMgQbGxujXLGU83tXyGes9LjFkcudVzndbRAEQxIDAEEASLwLG+fpv3/3bIN/ejp16kTv3r3JysrCxMSk0Jdgz549cXd3N2wATzH2FeWnyalCspxel6CgIGbNmsXatWv56quvCAgIYNCgQUaJRU7vXUE3OaXHlRMxxUeoKsQAQBAAkh9D2Hr993frBQ4GiwaAJUuWMHbsWJ1tbdq0YeHChYYNQMYGDx4sppHoYGX1/+3de3BV5b3G8WcnECQXEixEgSQgQ6DCIFAvU24Be6htJDUyVi7xgtOChFuobYU42mnGcUyx7Y5CkZbLOJZCo1apBoSxIFE4Mo4cmWKQBLnYhkuCSGTnArm+54+e5CSwwWCy13phfT8zeyZZe+t+XGuv7fvLet/fitLChQs1f/58bdy40bXPCJ9d+3EvmOCupvUIQEdQAACWGjx4sN5///2gz+3evdvhNLiahIWF6b777tN9993nyvvz2bWfFTelO3VMOrCn/a/vVxO6LP+H9QjwCgqAIL766ivNmDFDH3zwgcaMGaP8/HzFxsa6HQsAgGvHJ7ulZ4NfKQpq6X9J14UuTjNb1iO0xrgEnY0CIIjc3FylpKTolVde0YsvvqilS5da0RcecNyVdo16eIAUE6IslRXSe29+/euaDfoiREEkHf1UevGJ9r/+/l5SZOjiALi2MS5BZ6MACGLTpk36+9//rh49emjKlCmaOnUqJxqcc65aOvBR+18fewWtLq/UlXaNOh8fugLg9Akpb1H7X/9UCNdpVJ+VPi5s/+vvvit0BcCZcumDLe1/fSgLo4b6/3x+26upKXRZgGsI4xJ0NgqAID7//HMlJCRIkhITE7lrJZxV9rn0eHr7Xx/KgS7sd+KIPYXRnnelJ6+gg4xDUzrQStFuaUV2+1+f2UcKD10caxT/j7TlCtqf3lURuixBMC5BZ/MZ+l1dJDw8XA0NDfL5fC39rBsb296wqKKiQv/93+27sY/PGHWpvYLFS119Utf2v7yh6ToZhbUzS5O61J4jC1ksydJdRu3rqmFVlqZGdak774ks9U3dpVBl6ea7osElWS6Vpf2Xl2zKEtbYoPD6K7jpnUeySFJaWlqb39szLgGuiMFFoqKiTE1NjTHGmKqqKhMTE9Puf7agoCBUsa4YWYIjS3BkCY4swZElOLIER5bg2pulI+MSIJj2/RnQYwYOHKjS0lJJ0r///W8NGjTI5UQAAMCrGJegs1EABHHPPffotddeUyAQ0GuvvaYf/ehHbkcCAAAexbgEnY0CIIjFixdr165dSkxM1EcffaTHH3/c7UgAAMCjGJegs9EFKIgePXpoy5YraKsHAAAQIoxL0NnCc3JyctwOcS0JDw/X9ddf73YMSWS5FLIER5bgyBIcWYIjS3BkCc6mLPAW2oACAAAAHsIaAAAAAMBDKAAAAAAAD6EAAIBrXF5enl5++WUZY1xfSGhTFgDwKgqAq4DP177bzXeGQCCgxYsXa9iwYYqKilJYWJiuu+46JSUl6Re/+IXq6+sdy/J1nNwv27dv1+jRoyVJBw4c0Pe//3316NFDvXr10v33369jx445loVjFBz75dImTpyojRs3KiMjQ1988YWj721zlstx8hh9+OGHGj58uCIjI5WWlqbPPvtMKSkpioyM1O23366PP/7YsSycR8FdTfsFaA8KALRx//33KzY2Vn/5y1+0Z88ezZ8/Xzk5OXrjjTdUV1enrKwstyO6Yvbs2S3/7RkZGRo3bpyOHTumQ4cOaejQoXrooYccy8IxCo79Elx0dLR+/OMf66233tLNN9+shx9+mCyWyczM1IIFC/TFF18oNTVVd955Z0uB9NOf/lSPPvqoY1k4j4Jjv+BaQxcgC4SFhenrDoNThykyMlJlZWXq0aOHJOns2bMaOHCgvvzyS505c0ZJSUmqqqpyJItN+yUqKkqlpaW6/vrrdcMNN+jIkSOKioqSJH311Vfq16+fqqurHcnCMQqO/XJp+/btU3Z2tqqrqzV9+nTNnTvXsfe2NYtNxygyMlKnT59WZGSkGhoa1LVrVzU0NCg8PFw1NTWKj4937LPLeRScTfsF6AxcAbDA+vXrlZ2dLWNM0IeTbr31VuXl5ens2bMKBAJ6/vnnlZiYKEkqLCzUDTfc4FgWm/bLI488ot/85jf65JNPtGzZMuXm5qqkpER79uxRTk6O7rrrLseycIyCY79c2rZt2zR16lS9/fbbqqurc/z9bcxi0zEaNWqUVq5cqfr6enXp0kXGGIWHh6u2tlbLly/XiBEjHMvCeRScTfsF6BQGVti5c6fx+/1Bn3PyMB0+fNhMnjzZxMbGmtjYWHP33XebkpISY4wxo0aNMtu2bXMsizH27JfGxkazcuVKM378eNOzZ08THh5u4uLizPDhw81TTz1lqqqqHMvCMQqO/YIrZcsxKi4uNikpKWbdunVttj/33HMmJSXFFBcXO5aF8yg42/YL0FFMAQIAAAA8hClAAAAAgIdQAFjK6TaBl0OW4MgSHFmCsykLgrPpGJElOLIAnYMCAAA86vjx4y3drAAA3kEBYCmblmaQJTiyBEeW4NzO8s4772jgwIHy+Xwtj1GjRmnJkiWOZbD9ZkpuH6PWyBIcWYDOQQEAAB6wcOFC5eTkqLa2VmFhYaqqqlJmZqbGjBnjWAZupgQAdqALEAB4QPfu3RUIBNS1a1fFxMSovLxc1dXVuuOOO3T06FFHMnAzJQCwA1cAAMADBg0apG3btkmSBg8erIKCAh09elSBQMCxDNxMCQDs0MXtAACA0HvhhReUlZWl1NRUPffcc5o1a5Zuuukm/eMf/3Asw8svv6ysrCz1799fkjR27Fi9+uqrkqRnnnlGq1atciwLAHgZU4AsNnHiRBUWFrodQ5JdWXD1OHTokAYNGuR2DEl2ZQHQcbt27dK4cePcjiHJrixAezAFyGLvvfee2xFauJmlqKhIkydPVq9evRQREaH4+Hjde++9KikpIYvLWXbv3q0RI0YoOjpakyZN0r59+9o8n5yc7MksX8em/uG7du1yO4KrbDiPyHJ5Pp9P8+bNU11dXZvt48eP93QWoCMoACzQui1f60fr57yYpVl6erpGjx6t4uJi1dTUaP/+/Ro5cqTS0tLI4nKWOXPmKCsrSydPntT8+fOVnp6urVu3Ovb+tmaxkW0Dl9bfJW4WRDacR2T5esnJyZo0aZJOnDjhyvvbmgX4xgxct27dOvO9733PLF682Bw5cqRluxuHx6YszaKiokxVVVWbbYFAwMTFxZHF5SyRkZGmurq65fcDBw6Y/v37m82bNxtjnP3c2JTF5/MZSZd9OE2S8fv9Zvz48eb48eNttruh9fvy/UKWy2n+fOzYscPccsstZufOnW22ezUL0BF8Yi3R1NRk3nzzTTN27FgzefJks3XrVte+UGzKYowxGzZsME8++aQ5efKkaWhoMGVlZSYnJ8f87W9/I4vLWVJSUkxubq45f/58y7Z9+/aZpKQk89RTTzn6ubEpy4YNG0x2dvYln2fgYk8BYMN5RJbLa/35KC0tNWPHjjXLli1z9TyyIQvQEXxiLbRjxw7zgx/8wIovFBuyREdHm7CwsDZ/PfX5fBf9lZUszmc5dOiQufPOO83atWvbbD9+/LjJyMgwPp8vpO9vaxZjjNm5c6fx+/1Bn2PgYk8BYMN5RJbLmzBhQpvfz58/b2bNmuXK58amLEBH0AUI1mtoaFCXLnZ0rCULrlYXdvKqra3VggULtGbNGrnxvwGfz9fyvq1/dppN5xFZADiFAuAqYFN7MZuyALh62VIAwH5VVVWKjo6+aHtlZaViYmI8mwXoCLoAWcSmLh02ZLmw+9CluhORxb0szWxqGUiWq0PrAb+bg/9//etfmjFjhvr166du3bopISFBjzzyiMrKyshiSZZhw4Zp8+bNbbZt2LBBQ4YM8XQWoCMoACxjU3sxt7M0DwrMf9aqBH2Qxd0szWxqGUiWtnw+n6ZNm2bFd0qzqqqqoNsrKysdTiI9+OCDSk5O1t69e1VTU6OPP/5Y8fHxeuihh8hiSZY//OEPWrJkiaZPn67CwkJNmDBBeXl5Wrt2raezAB0S4jUGuALNh8OGLh02ZbmU5kw28HoWm1oGkqUtSWblypVmwIAB5te//rWpqKhw7L0vJSkpyWzatKnNtvXr15s+ffo4niU6OjroMYqJiSGLJVmMMaaurq6lIcXs2bNNU1OTKzlsywJ8U1wBsNDEiRO1efNmZWdna/ny5Z7PYsN0JLJc3urVq5Wbm6uysjI1NjaqvLxcfr9fa9asIYsFWTIzM7Vnzx41NDRo1KhRmjlzpl5//XUdPHjwkn+NDyWb/op622236dlnn1V5ebkaGxt16tQpPfvss7r99tvJYkmWLVu26NZbb1VMTIx27NihgwcPaty4cXr//fc9nQXoELcrEPw/m9qL2ZRFFt3AiCzB2dQykCxtXfjvr6qqMvn5+SYjI8PcfPPNnv+LbmlpqXnggQdMnz59TEREhOnXr5+ZOXNmm3OKLO5mSUxMNAUFBW22uXXFyKYsQEfQBQjWa+4QUlhYqEWLFmnFihUaN26cK51DyBKcTS0DydKWjR12tmzZoiVLlmjIkCGaP3++cnJyVF9fr9zcXKWkpLgdD5axqfOOTVmAjqAAgPVaD2COHTum6dOna9q0acrKynJt0E0W4JtLSkrSiy++2GYx9IYNG/TLX/7SmsXKNrU8JguAzsYaAAtcrp2jGy0mbcnSbMKECS0/JyQkaPv27dq3b5/jOchyMZtaktqU5XL5IH366acXdULKyMhwpT2qTWtpyALAKVwBAAAH2DgVB/85Ln6/Xxs3blR+fr769u3bst2Nq3pkAeAErgDAejb9z4YsV2bXrl1uR2jhdpar4Xg5Zd26dRowYIDCw8OtuErz2GOP6emnn1ZqaqrrnxOyAHACBQCsFxUVpbCwsKBTOnr27KnU1FQdOnSILC5msWm6gE1ZENzPf/5z/f73v9e5c+dcv4ldMxtaHpMFgFMoAGC9P/7xj5o3b54OHjyoc+fO6bPPPtOCBQv0yiuvqKSkRMOGDdNPfvITsriYRXL/ztG2ZsHFjDH64Q9/qIiICLejWLGWhiwAnMYaAFivZ8+e+vzzzxUbG9uy7ezZs0pOTtapU6cUCATUp08fVVdXk8WlLDa1JLUpC4JbvXq1SkpK9MQTT+hb3/qW23EAwHO4AgDrJSYmyu/369SpU2poaNDp06e1YsWKloHvu+++q4SEBLK4mKWZTdMFbMqCtrp3766XXnpJvXr1smINAAB4DQUArPfqq69q7969Gjp0qLp3767BgwersLBQ+fn5kqQ///nPeuGFF8jiYhabpgvYlOVSnFqbYatFixZp1apVqq2tdW0NgE0tj8kCwGlMAQKATrZ7925lZmbq8OHD+u53vyu/369bbrml5XmvT0fq3bu3jhw5wp1TAcAlXAEAgE42Z84cZWVl6eTJk5o/f77S09O1detWt2NZIy8vT88884xOnz7tdhQA8CQKAAAdVlRUpLS0NMXHx6tbt2668cYbNWXKFBUXF3syy+HDhzVjxgzFxMRoypQp2rJlizIzM/X22287lsFmCxculN/vV+/evZleAgAuoAAA0GFTp07V6NGjtX//flVVVWnv3r0aOXKkpk6d6skst912m5YtW6ba2lpJ0re//W0VFBRo7ty5+tWvfuVYDluVlZWprq7uovn/Xp4WBQBOYg0AgA7r2bOnSktLFR0d3bKtsrJS/fv315kzZzyX5fDhw5o9e7YefPDBNvdiOHHihB5//HH99a9/VVNTkyNZAAC4EAUAgA5744039M9//lNz5sxR7969debMGf3pT3/SiBEjlJ6e7tks+HpeXxANAG6gAADwjbWes33hQC4sLEyRkZGqrKz0XBa0HwUAADiPNQAAvrHWc7ebmpra/N7Y2KiKigpPZmlWVFSkyZMnq1evXoqIiFB8fLzuvfdelZSUOJ7FVgz+AcB5FAAAQqZLly5uR2jhRpb09HSNHj1axcXFqqmp0f79+zVy5EilpaU5ngUAgGZMAQKAEImOjlZ5ebmioqJatlVWViopKcmVKxIAAEhcAQCAkFm9erVyc3NVVlamxsZGlZeXy+/3a82aNW5HA8EGzlcAAARvSURBVAB4GFcAACBEYmJiVFNT06blZ/Ni5dZfvXwNAwCcxBUAAAiRiooKNTY2XrRA+cJFypCOHz/eZqoUACB0KAAAIERsWgRtk3feeUcDBw6Uz+dreYwaNUpLlixxOxoAeAIFAAB0suZpPq0HuBc+vGzhwoXKyclRbW2twsLCVFVVpczMTI0ZM8btaADgCawBAAA4qnv37goEAuratatiYmJUXl6u6upq3XHHHTp69Kjb8QDgmscVAABw2K5du9yO4KpBgwZp27ZtkqTBgweroKBAR48eVSAQcDkZAHgDVwAAIER8Pp/mzp2r559/XhEREW22e/mr991331VWVpaKioq0fft2zZo1SzfddJN+97vf6Tvf+Y7b8QDgmkcBAAAh4vP55Pf7tXHjRuXn56tv374t2/nqBQC4hSlAABBCjz32mJ5++mmlpqZ6furP12H/AIAzKAAAIMQmTpyozZs3Kzs7W8uXL3c7jut8Pp/mzZunurq6NtvHjx/vUiIA8BYKAAAIkQkTJrT8nJCQoO3bt2vfvn0uJrJHcnKyJk2apBMnTrgdBQA8hzUAAABHNa+BKCws1KJFi7RixQqNGzeOtREA4BBuUwkAcEXz1Kjp06dr2rRpbscBAM9gChAAhEhRUZHS0tIUHx+vbt266cYbb9SUKVNUXFzsdjRXMTUKANzFFCAACJGhQ4fqgQce0KOPPqq4uDidPn1aq1at0uuvv86AFwDgGgoAAAiRnj17qrS0VNHR0S3bKisr1b9/f505c8bFZAAAL2MKEACEyNq1a/Xb3/5WJ06cUH19vcrLy5WXl6eXXnrJ7Wiu8Pl8mjZtGp1/AMBlXAEAgE7m8/na/Nz6azYsLEyRkZGqrKx0I5qrfD6fVq5cqaVLl2rmzJn62c9+pri4OLdjAYDnUAAAgMMaGhrUpYv3mrA1F0Nffvml8vLytH79eqWkpOiee+7R8OHD1bdv3zbTpQAAoUEBAABwxIVXQ6qrq7Vp0ya99dZb2rt3r44dO6ZAIOBiQgDwBgoAAAiRoqIiLVmyRB9++KECgYDi4uI0ZswYLV26VEOGDHE7nuO40RcA2IFFwAAQIunp6Ro9erSKi4tVU1Oj/fv3a+TIkUpLS3M7misY/AOAHbgCAAAhEh0drfLyckVFRbVsq6ysVFJSkioqKlxMBgDwMq4AAECIrF69Wrm5uSorK1NjY6PKy8vl9/u1Zs0at6MBADyMKwAAECIxMTGqqalRU1NTy7bmFqGtv3r5GgYAOIkCAABCxKvtPgEAdqMAAAAAADyENQAAAACAh1AAAAAAAB5CAQAAAAB4CAUAAAAA4CEUAAAAAICHUAAAAAAAHkIBAAAAAHgIBQAAAADgIRQAAAAAgIdQAAAAAAAeQgEAAAAAeAgFAAAAAOAhFAAAAACAh1AAAAAAAB5CAQAAAAB4CAUAAAAA4CEUAAAAAICHUAAAAAAAHkIBAAAAAHgIBQAAAADgIRQAAAAAgIdQAAAAAAAeQgEAAAAAeMj/Aix6NDf42GFjAAAAAElFTkSuQmCC</encoded_png>
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