MIME-Version: 1.0 Content-Type: multipart/related; boundary="----=_NextPart_01CEBF8A.2314F090" This document is a Single File Web Page, also known as a Web Archive file. If you are seeing this message, your browser or editor doesn't support Web Archive files. Please download a browser that supports Web Archive, such as Windows® Internet Explorer®. ------=_NextPart_01CEBF8A.2314F090 Content-Location: file:///C:/465B2E2E/BASIC_ACTION.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="windows-1252" Basic Action

BASIC ACTION=

Overview

The Basic Action scenarios are designed to return simp= le actions.  No injection takes place,= and by default, they utilize static filters.

All filters added sit in WFPSampl= er’s sublayer (which is weighted just below IPsec’s sublayer), unless otherwise specified using the –sl <SUBLAYER> command line option.  All filters are associated with WFPSampler’s provider.

When a callout is used, the following diagram shows ho= w the code flows:


Figure A. Code flow for Basic Action Scenario

When traffic matches a filter at the specified layer, = and the filter uses a callout, then the ClassifyBasicActio= nFn is invoked by the Filtering Engine.  These functions make sure it can update the action and dictates which action to return via PerformBasicAction().

The ClassifyBasicActionBlock() function will always return FWP_ACTION_BLOCK, causing the traffic to be dropped.

The ClassifyBasicActionContinue() function will always return FWP_ACTION_CONTINUE, causing the traffic to be allowed unless another filte= r in a different sublayer returns FWP_ACTION_BLOCK.

The ClassifyBasicActionPermit<= /span>() function will always return FWP_ACTION_PERMIT, causing the traffic to be allowed unless another filter = in a different sublayer returns FWP_ACTION_BLOCK.

The ClassifyBasicActionRandom<= /span>() function (which always uses a callout) will randomly return an action of FWP_ACTION_BLOCK, FWP_ACTION_CONTINUE, or FWP_ACTION_PERMIT.  This callout is meant to be for testing purposes only, and would nev= er dictate real world behavior of a callout.  The chance of each action return can be controlled by command-line parameters.

Applicable Layers

v  FWPM_LAYER_INBOUND_IPPACKET_V4

v  FWPM_LAYER_INBOUND_IPPACKET_V6

v  FWPM_LAYER_OUTBOUND_IPPACKET_V4

v  FWPM_LAYER_OUTBOUND_IPPACKET_V6

v  FWPM_LAYER_IPFORWARD_V4

v  FWPM_LAYER_IPFORWARD_V6

v  FWPM_LAYER_INBOUND_TRANSPORT_V4

v  FWPM_LAYER_INBOUND_TRANSPORT_V6

v  FWPM_LAYER_OUTBOUND_TRANSPORT_V4

v  FWPM_LAYER_OUTBOUND_TRANSPORT_V6

v  FWPM_LAYER_STREAM_V4

v  FWPM_LAYER_STREAM_V6

v  FWPM_LAYER_DATAGRAM_DATA_V4

v  FWPM_LAYER_DATAGRAM_DATA_V6

v  FWPM_LAYER_INBOUND_ICMP_ERROR_V4

v  FWPM_LAYER_INBOUND_ICMP_ERROR_V6

v  FWPM_LAYER_OUTBOUND_ICMP_ERROR_V4

v  FWPM_LAYER_OUTBOUND_ICMP_ERROR_V6

v  FWPM_LAYER_ALE_RESOURCE_ASSIGNMENT _V4

v  FWPM_LAYER_ALE_RESOURCE_ASSIGNMENT_V6

v  FWPM_LAYER_ALE_AUTH_LISTEN_V4

v  FWPM_LAYER_ALE_AUTH_LISTEN_V6

v  FWPM_LAYER_ALE_AUTH_RECV_ACCEPT_V4

v  FWPM_LAYER_ALE_AUTH_RECV_ACCEPT_V6

v  FWPM_LAYER_ALE_AUTH_CONNECT_V4

v  FWPM_LAYER_ALE_AUTH_CONNECT_V6

v  FWPM_LAYER_ALE_FLOW_ESTABLISHED_V4

v  FWPM_LAYER_ALE_FLOW_ESTABLISHED_V6

v  FWPM_LAYER_STREAM_PACKET_V4                                     (Win7+= )

v  FWPM_LAYER_STREAM_PACKET_V6                                     (Win7+= )

v  FWPM_LAYER_INBOUND_MAC_FRAME_ETHERNET       (Win8+)

v  FWPM_LAYER_OUTBOUND_MAC_FRAME_ETHERNET   (Win8+)

v  FWPM_LAYER_INBOUND_MAC_FRAME_NATIVE                            (Win8+)

v  FWPM_LAYER_OUTBOUND_MAC_FRAME_NATIVE        (Win8+)

v  FWPM_LAYER_INGRESS_VSWITCH_ETHERNET                  (Win8+)

v  FWPM_LAYER_EGRESS_VSWITCH_ETHERNET                    (Win8+)

v  FWPM_LAYER_INGRESS_VSWITCH_TRANSPORT_V4      (Win8+)

v  FWPM_LAYER_INGRESS_VSWITCH_TRANSPORT_V6      (Win8+)

v  FWPM_LAYER_EGRESS_VSWITCH_TRANSPORT_V4        (Win8+)

v  FWPM_LAYER_EGRESS_VSWITCH_TRANSPORT_V6        (Win8+)

Command Line Usage

Option

Argument

Meaning

-s

BASIC_ACTION_XXXX

Implement the BASIC_PACKET_INJECTION scenario

-l

Applicable layer

Layer at which this filter will apply

-rab

Integer (0-100)

Determines chance of returning FWP_ACTION_BLOCK for BASIC_ACTION_RANDOM. [default is 50]*

-rac

Integer (0-100)

Determines chance of returning FWP_ACTION_CONTINUE for BASIC_ACTION_RANDOM. [default is 25]*

-rap

Integer (0-100)

Determines chance of returning FWP_ACTION_PERMIT for BASIC_ACTION_RANDOM. [default is 25]*

-c

 

Causes the action to be returned via a callout, rather than the filter’s action.

-sl

Applicable subLayer

SubLayer to associate with the filter= .  [default is WFPSAMPLER_SUBLAYER].

-v

 

Make the objects associated with this scenario’s instance dynamic=

-b

 

Make the objects associated with this scenario’s instance availab= le during boot-time

-r

 

Remove objects associated with this scenario instance

-?

 

Display help


*   -rab, -rac, and -rap should total 100. If this is not the ca= se then the code will try to balance the values out (i.e. if you specify only = -rab, then -rac, and -rap are calculated as best as possible).

WFPSampler.E= xe -s BASIC_ACTION_BLOCK -? provides help output

WFPSampler.E= xe -s BASIC_ACTION_BLOCK -l FWPM_LAYER_INBOUND_IPPACKET_V4 -v“ adds a dynamic filter (-v) at FWPM_LAYER_INBOUND_IPPACKET_V4 (-l= ) This filter will have no conditions, meaning it will block all traffic seen= at this layer.

WFPSampler.E= xe -s BASIC_ACTION_PERMIT  -l FWPM_LAYER_INBOUND_IPPACKET_V4 -v -c“ adds a dynamic filter (-v) at FWPM_LAYER_INBOUND_IPPACKE= T_V4 (-l) which invokes a callout (-c) This filter will have no conditions, meaning it will allow all traffic seen at this layer (unless another filter at a different sublayer blocks it).

WFPSampler.E= xe -s BASIC_ACTION_PERMIT -l FWPM_LAYER_INBOUND_IPPACKET_V4 -v -c -r“ removes (-r= ) the dynamic filter (-v) at FWPM_LAYER_INBOUND_IPPACKET_V4 (-l= ) which references the appropriate callout (-c).

 WFPSampler.Exe -s BASIC_ACTION_CONTINUE -l FWPM_LAYER_INBOUND_TRANSPORT_V4  -ipla 1.0.0.1 -ipra 1.0.0.254 -i= pp TCP -c“ adds a persistent filter at FWPM_LAYER_INBOUND_IPPACKET_V4  (-l) which references the appropriate callout (-c).  This filter will have 3 conditions; FWPM_CONDITION_IP_LOCAL_ADDRESS (-= ipla) equals 1.0.0.1, FWPM_CONDITION_IP_REMOTE_AD= DRESS (-ipra= ) equals 1.0.0.254, and FWPM_CONDITION_IP_PROTOCOL (-ipp) equals TCP.

WFPSampler.E= xe -s BASIC_ACTION_RANDOM -l FWPM_LAYER_INBOUND_TRANSPORT_V4  -ipla 1.0.0= .1 -ipra 1.0.0.254 -ipp TCP -= rab 50 -rac 25 -rap 25“ adds a persistent filter at FWPM_LAYER_INBOUND_IPPACKET_V4  (-l) which references the appropriate callout.  This filter will have 3 conditions; FWPM_CONDITION_IP_LOCAL_ADDRESS = (-ipla= ) equals 1.0.0.1, FWPM_CONDITION_IP_REMOTE_ADDRESS (-ipra) equals 1.0.0.254, and FWPM_CONDITION_IP_PRO= TOCOL (-ipp<= /b>) equals TCP.  The callout will return FWP_ACTION_BLOCK 50% of the time (= -rab), FWP_ACTION_CONTINUE 25% of the time (-rac)= , and FWP_ACTION_PERMIT 25% of the time (-rap).  In theory, the traffic should be allowe= d 50% of the time, and blocked the 50% of the time.  Notice that we do not have to specify “-c” for this scenario, as it = can only be implemented via a callout.

For a list of conditions applicable to each layer, ref= er to Filtering Conditions Available at Each Filtering Layer.

For a list of command line parameters for configuring = each condition, refer to Co= nditions for Command Line.

------=_NextPart_01CEBF8A.2314F090 Content-Location: file:///C:/465B2E2E/BASIC_ACTION_files/themedata.thmx Content-Transfer-Encoding: base64 Content-Type: application/vnd.ms-officetheme UEsDBBQABgAIAAAAIQDp3g+//wAAABwCAAATAAAAW0NvbnRlbnRfVHlwZXNdLnhtbKyRy07DMBBF 90j8g+UtSpyyQAgl6YLHjseifMDImSQWydiyp1X790zSVEKoIBZsLNkz954743K9Hwe1w5icp0qv 8kIrJOsbR12l3zdP2a1WiYEaGDxhpQ+Y9Lq+vCg3h4BJiZpSpXvmcGdMsj2OkHIfkKTS+jgCyzV2 JoD9gA7NdVHcGOuJkTjjyUPX5QO2sB1YPe7l+Zgk4pC0uj82TqxKQwiDs8CS1Oyo+UbJFkIuyrkn 9S6kK4mhzVnCVPkZsOheZTXRNajeIPILjBLDsAyJX89nIBkt5r87nons29ZZbLzdjrKOfDZezE7B /xRg9T/oE9PMf1t/AgAA//8DAFBLAwQUAAYACAAAACEApdan58AAAAA2AQAACwAAAF9yZWxzLy5y ZWxzhI/PasMwDIfvhb2D0X1R0sMYJXYvpZBDL6N9AOEof2giG9sb69tPxwYKuwiEpO/3qT3+rov5 4ZTnIBaaqgbD4kM/y2jhdj2/f4LJhaSnJQhbeHCGo3vbtV+8UNGjPM0xG6VItjCVEg+I2U+8Uq5C ZNHJENJKRds0YiR/p5FxX9cfmJ4Z4DZM0/UWUtc3YK6PqMn/s8MwzJ5PwX+vLOVFBG43lExp5GKh qC/jU72QqGWq1B7Qtbj51v0BAAD//wMAUEsDBBQABgAIAAAAIQBreZYWgwAAAIoAAAAcAAAAdGhl bWUvdGhlbWUvdGhlbWVNYW5hZ2VyLnhtbAzMTQrDIBBA4X2hd5DZN2O7KEVissuuu/YAQ5waQceg 0p/b1+XjgzfO3xTVm0sNWSycBw2KZc0uiLfwfCynG6jaSBzFLGzhxxXm6XgYybSNE99JyHNRfSPV kIWttd0g1rUr1SHvLN1euSRqPYtHV+jT9yniResrJgoCOP0BAAD//wMAUEsDBBQABgAIAAAAIQAw 3UMpqAYAAKQbAAAWAAAAdGhlbWUvdGhlbWUvdGhlbWUxLnhtbOxZT2/bNhS/D9h3IHRvYyd2Ggd1 itixmy1NG8Ruhx5piZbYUKJA0kl9G9rjgAHDumGHFdhth2FbgRbYpfs02TpsHdCvsEdSksVYXpI2 2IqtPiQS+eP7/x4fqavX7scMHRIhKU/aXv1yzUMk8XlAk7Dt3R72L615SCqcBJjxhLS9KZHetY33 37uK11VEYoJgfSLXcduLlErXl5akD8NYXuYpSWBuzEWMFbyKcCkQ+AjoxmxpuVZbXYoxTTyU4BjI 3hqPqU/QUJP0NnLiPQaviZJ6wGdioEkTZ4XBBgd1jZBT2WUCHWLW9oBPwI+G5L7yEMNSwUTbq5mf t7RxdQmvZ4uYWrC2tK5vftm6bEFwsGx4inBUMK33G60rWwV9A2BqHtfr9bq9ekHPALDvg6ZWljLN Rn+t3slplkD2cZ52t9asNVx8if7KnMytTqfTbGWyWKIGZB8bc/i12mpjc9nBG5DFN+fwjc5mt7vq 4A3I4lfn8P0rrdWGizegiNHkYA6tHdrvZ9QLyJiz7Ur4GsDXahl8hoJoKKJLsxjzRC2KtRjf46IP AA1kWNEEqWlKxtiHKO7ieCQo1gzwOsGlGTvky7khzQtJX9BUtb0PUwwZMaP36vn3r54/RccPnh0/ +On44cPjBz9aQs6qbZyE5VUvv/3sz8cfoz+efvPy0RfVeFnG//rDJ7/8/Hk1ENJnJs6LL5/89uzJ i68+/f27RxXwTYFHZfiQxkSim+QI7fMYFDNWcSUnI3G+FcMI0/KKzSSUOMGaSwX9nooc9M0pZpl3 HDk6xLXgHQHlowp4fXLPEXgQiYmiFZx3otgB7nLOOlxUWmFH8yqZeThJwmrmYlLG7WN8WMW7ixPH v71JCnUzD0tH8W5EHDH3GE4UDklCFNJz/ICQCu3uUurYdZf6gks+VuguRR1MK00ypCMnmmaLtmkM fplW6Qz+dmyzewd1OKvSeoscukjICswqhB8S5pjxOp4oHFeRHOKYlQ1+A6uoSsjBVPhlXE8q8HRI GEe9gEhZteaWAH1LTt/BULEq3b7LprGLFIoeVNG8gTkvI7f4QTfCcVqFHdAkKmM/kAcQohjtcVUF 3+Vuhuh38ANOFrr7DiWOu0+vBrdp6Ig0CxA9MxEVvrxOuBO/gykbY2JKDRR1p1bHNPm7ws0oVG7L 4eIKN5TKF18/rpD7bS3Zm7B7VeXM9olCvQh3sjx3uQjo21+dt/Ak2SOQEPNb1Lvi/K44e//54rwo ny++JM+qMBRo3YvYRtu03fHCrntMGRuoKSM3pGm8Jew9QR8G9Tpz4iTFKSyN4FFnMjBwcKHAZg0S XH1EVTSIcApNe93TREKZkQ4lSrmEw6IZrqSt8dD4K3vUbOpDiK0cEqtdHtjhFT2cnzUKMkaq0Bxo c0YrmsBZma1cyYiCbq/DrK6FOjO3uhHNFEWHW6GyNrE5lIPJC9VgsLAmNDUIWiGw8iqc+TVrOOxg RgJtd+uj3C3GCxfpIhnhgGQ+0nrP+6hunJTHypwiWg8bDPrgeIrVStxamuwbcDuLk8rsGgvY5d57 Ey/lETzzElA7mY4sKScnS9BR22s1l5se8nHa9sZwTobHOAWvS91HYhbCZZOvhA37U5PZZPnMm61c MTcJ6nD1Ye0+p7BTB1Ih1RaWkQ0NM5WFAEs0Jyv/chPMelEKVFSjs0mxsgbB8K9JAXZ0XUvGY+Kr srNLI9p29jUrpXyiiBhEwREasYnYx+B+HaqgT0AlXHeYiqBf4G5OW9tMucU5S7ryjZjB2XHM0ghn 5VanaJ7JFm4KUiGDeSuJB7pVym6UO78qJuUvSJVyGP/PVNH7Cdw+rATaAz5cDQuMdKa0PS5UxKEK pRH1+wIaB1M7IFrgfhemIajggtr8F+RQ/7c5Z2mYtIZDpNqnIRIU9iMVCUL2oCyZ6DuFWD3buyxJ lhEyEVUSV6ZW7BE5JGyoa+Cq3ts9FEGom2qSlQGDOxl/7nuWQaNQNznlfHMqWbH32hz4pzsfm8yg lFuHTUOT278QsWgPZruqXW+W53tvWRE9MWuzGnlWALPSVtDK0v41RTjnVmsr1pzGy81cOPDivMYw WDREKdwhIf0H9j8qfGa/dugNdcj3obYi+HihiUHYQFRfso0H0gXSDo6gcbKDNpg0KWvarHXSVss3 6wvudAu+J4ytJTuLv89p7KI5c9k5uXiRxs4s7Njaji00NXj2ZIrC0Dg/yBjHmM9k5S9ZfHQPHL0F 3wwmTEkTTPCdSmDooQcmDyD5LUezdOMvAAAA//8DAFBLAwQUAAYACAAAACEADdGQn7YAAAAbAQAA JwAAAHRoZW1lL3RoZW1lL19yZWxzL3RoZW1lTWFuYWdlci54bWwucmVsc4SPTQrCMBSE94J3CG9v 07oQkSbdiNCt1AOE5DUNNj8kUeztDa4sCC6HYb6ZabuXnckTYzLeMWiqGgg66ZVxmsFtuOyOQFIW TonZO2SwYIKObzftFWeRSyhNJiRSKC4xmHIOJ0qTnNCKVPmArjijj1bkIqOmQci70Ej3dX2g8ZsB fMUkvWIQe9UAGZZQmv+z/TgaiWcvHxZd/lFBc9mFBSiixszgI5uqTATKW7q6xN8AAAD//wMAUEsB Ai0AFAAGAAgAAAAhAOneD7//AAAAHAIAABMAAAAAAAAAAAAAAAAAAAAAAFtDb250ZW50X1R5cGVz XS54bWxQSwECLQAUAAYACAAAACEApdan58AAAAA2AQAACwAAAAAAAAAAAAAAAAAwAQAAX3JlbHMv LnJlbHNQSwECLQAUAAYACAAAACEAa3mWFoMAAACKAAAAHAAAAAAAAAAAAAAAAAAZAgAAdGhlbWUv dGhlbWUvdGhlbWVNYW5hZ2VyLnhtbFBLAQItABQABgAIAAAAIQAw3UMpqAYAAKQbAAAWAAAAAAAA AAAAAAAAANYCAAB0aGVtZS90aGVtZS90aGVtZTEueG1sUEsBAi0AFAAGAAgAAAAhAA3RkJ+2AAAA GwEAACcAAAAAAAAAAAAAAAAAsgkAAHRoZW1lL3RoZW1lL19yZWxzL3RoZW1lTWFuYWdlci54bWwu cmVsc1BLBQYAAAAABQAFAF0BAACtCgAAAAA= ------=_NextPart_01CEBF8A.2314F090 Content-Location: file:///C:/465B2E2E/BASIC_ACTION_files/colorschememapping.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml ------=_NextPart_01CEBF8A.2314F090 Content-Location: file:///C:/465B2E2E/BASIC_ACTION_files/image001.emz Content-Transfer-Encoding: base64 Content-Type: image/x-emz H4sIAAAAAAAEC61Wb0idVRz+va9evYmry9KLt5xeY2vqDC5hw6D06KXFysqNtX0Z5Dan3aw1bEQL gndisaA/C2W0P6ZDcJv2QRirWKturaAPmkqRiyK0IoqghL4Mim7Pc857rldxcHEefe7zO7/z73ee c95zjiMiTwMOUAh0uiIVgE01D4v8XiMSfeCRLaxVeovI4yjMtRV8HgyI9OSI1KCjj5eUzfbmSuxX V9CBoCuJAuhuk6PQH+wQ4IaS3zOGVh+s+ySwG2DdmHJ1PTOu11CucnW8KJYyFUjb65RIEXxBgNMo x0+BkqQdRySV4jg5iGJcUk6FX3cvuBBg2XofIt79MP20YLPfjUAJwPpMKUOyAWz7sTZi8XbCHwMg EUYWmQQYG2Sj343JfMV8IUFbXNs2H22tjapeRmyNyPvJS9uMjdr1AUcBahdU4irYtQB1BslX/EEq mBmqZ5tM0G/rwUwFlZPDtpW+nzGL4lzK3UmNqNaTeXEc5wiKi5WTsV7ZafoE2tUBjIXMZJlK63GN e9Gv1YftrI26ac0d+MuAaYB7m/0s1Zt523YlmlMbrjtjoP4HMWgbQP2rlZl/CfwiySZNaTuq1mxu aAwqNy9TYxmtrmcVxs6EmCQujdIsW6VJtuNXZLNyvSAq/MsKWCfWJYqBOL7qPfIc/hLSLofRhrmE 7EMf++QQrGflACI9IPLep/USjtbL3J+a1R9OA/Pqn7BmTyo1JwP3mrwX9/3bjP+e/SYffUmzKnlV 8+zJt0z+6nHNg18MaJYL72puHbyoORn4SHM0/pnhDyc0z971nWbv2k+asaANmJifMu218NlvjhrT ZgoDtOnbDnBNuD7zqZT9XJETuUwnUr7kQrc9UC4he6ULvytL76O/FjS9KsmH2MOZltdObHuUlkle 4lwurdofz2sO+v6Qzypp/F73sC6fnejQJeGT3WXXsBGmPjHlllsv1cRZ4ZXRmUay1YZ7himkfxfa Jd0hHkMy987fp+1+4Z6per2Hn4neP+SWGTOuja/7W5O38bMNU0j/Yo9Pd0jb8/roTX+HlHYHMA5s BLgeFwEOxLFHRoYb3/j5XCPLbgfYZzOQmbBcOr0AZ/b7+pAOhAIy/jwfzAd8300+s4z+fKDAZ+tj HYJlTBsAzmENZN4CPgb0APzON6mFvbcaZ+569FsC8CzWWxT9T8qA0+cMODxnb+SM5QaoA5gsZ3PG sp3VADp6u5BnnBNAPxb0OHAGYLy4zyIqMh+x9aGhZ20UZ3WXVaIi9ea41Jt7QwHmXnNyamBHAWrE NWRhr3MKfwNOrzMEnKJWR4qU44VQrOvgrLT9ItQV3fdoppOdD/u5FWCstK0/iHnuRJ5x9qIA0WgM gRlLLDKGv/lILBK7jbZtR62W6w9NstKNWlltqFVBxhuoZczcFf1OpzOO2+GGtRhrwWgLc15u/jGU c390AglsjmlwAL6pyFh4KhJad+xOgvZYOFMDa6Nq1vPuQ+WjgNkj4irYtQD3CGhV3j79zrSTcIlO hzoyvxpvH+7zOgaJZHkl3yX3XAzgfktQd2j+dVrzxXpTf6vzanyjpRgnBFD/anX9t0/F3GS868HR ON8xvyHWHwCk9DtmLTItsh83cTteK13yzHVeMXLaf8Hk/2VeMP8VmhdDVanh81WGTyjNySuPaVaH u4z/7pcNX3pT8+B9b5v8i/2aWzuGNSd3XNAcbbqs2Tt7RfPsL18a3v2NZmzVZV8qnI89H0p8G7To nWLXAcul780PwJ9Dy13AVji5lvhP35ssawfYdzOQmey9eRDObHTMvA8DaMN8HoC7TttBP89zC/tk 2bsS7vTZZ+/IUvhCAPdD5h3JeNsAzpW6PAUjCtg8z4lioEpGUGrT8tra0qV8Bxzsm1rwTMyMxVWm DG65GSiigRQCaP8PKe5hDBwPAAA= ------=_NextPart_01CEBF8A.2314F090 Content-Location: file:///C:/465B2E2E/BASIC_ACTION_files/image002.png Content-Transfer-Encoding: base64 Content-Type: image/png iVBORw0KGgoAAAANSUhEUgAAA5wAAAIhCAYAAAAikbXOAAAAAXNSR0ICQMB9xQAAAAlwSFlzAAAO xAAADsQBlSsOGwAAABl0RVh0U29mdHdhcmUATWljcm9zb2Z0IE9mZmljZX/tNXEAABm8SURBVHja 7d1Pj11lHcDxmbZpUItiQ1JRMqAoHUhYdFAXbRPrpGnqJFZmMZnUWpl0MYlFGl0NgokSXYziK1B8 B4guXZgo4lZZIrwAfQEkJGppPb/m/MivT8+de2d6Zyj0Q/JJO/fPOc85A5P58jzn3JkXX3xxBgAA AKbNSQAAAEBwAgAAIDgBAAAQnE4CAAAAghMAAADBCQAAgOAEAAAAwQkAAIDgBAAAQHACAACA4AQA AEBwAgAAIDgBAABAcAIAACA4d83m5uahpaWlZ9bW1k7t9X6Xl5e/E/uOv/sXCQAA4EManBsbGw9k 4J0/f/5cRt76+vqTMzMz1+fn51/drX1HzLZhOTc393rsN8Rz47YRY47XpTiWOKZpjC+2FXZyTNt9 315Gfz1fKb7f/qMFAADBOTURaxl3VQTbXgRnbDv2kbGT+8zYjPGNPckD4w/TiLTc1nYCsY5hOxGX oVpjeTe+B5cvX3506HxNEvcAAIDgnDhwMjYiaCI4Tpw48VKG0gcxw5lj2s4+8xhi7LGtw4cPvz2t cW93hjMD/tixYy/nmHYa3xmw057hbKPeDCcAAAjOqculqxFH9fGYARs1wxnP5fLbEF+3MTP0XL0u sy7bzeWwub+MrojGjKChbdUIa2cTdzLu2H8+V+MuH2vPz6iluxmadaazPe/xXB537iu+zlDOcK7j amd6M9SHYjS3Xf9eX1ODc+jfi/o9ynPWni8AAEBwbj24PjpGxUQbbqOWYmbMLC4uPt8+l9E0avlm ndWLx9rX5YxhjceIoHgs9lePo53hzHGNG3ed6W3jtQ2zoWPM6MzIzLFmfNbYGzoXsc08D+25a78H sY96jWudoc595Lba1+U5HzXDmceRwT/qnAAAAIJzS1vNwI0Kzvg6QiQCKQKlnSHN0IlwyVm8up1c XhoBmPFSg3NohrOOM4Mo91sDqRXvr/vfatwZuvn6CMR22224xrFkfOaxZBznEtz8ui6rzQjN44vj DaNmONvvQS55zvfXAM7x13itMRvvaYNzq8jOfdRx+Y8aAAAE52SD2+YMZ4gQy2WaGT/5fI2feC6j rc7qRezV5aHtdYsZf3Wfud2chcvttMeRoZbjqlG61bjrDGcEYZ3Jq8GZM6s1vOLc5fLgPJYcRz0f +Zp2XHmeh87F0Pdg6P31/NTt5Mxq+z8XJpnhrGPeyXW1AADAXR6co2auRl3DmeERUTYUbvmanMVr g29otmyS4MzIzBm3OotYA6mGWt3uJOOOY66hmlFcQy333QZnjG9oqWy7NHhUMGYYTjs4R4XzuGs4 2+f24uZRAADARyw46zWTk9ylNkMmwy2XpubzEVUZQnU7EWUZVRlm7Ta3Cs76unb2rQbS0Axn7Hvc uGNsOcuby2Az3iZdUpuzn3keU8Z3Lt8dtaS2HmP8mdentt+D9v11FnWrmVLBCQAAgnPP1Tgb9zmc oz6zs519a8MwY2zcTYO2Cs667/auuqNmFTPaxo27zsiOu2nQ0PmKc5URO3T32/q6oRsY5Tjb8zQU e6NugFRnXQUnAAAIzjtG/ciQ+pElQx/JkXeTzY8Eqc+P2k78WT/Go0ZZ/ViU3Maoz51s7y7bbiMN fVzJVuOu13e27x36WJQ8lvra/Hro/OY5qcuL87FRx1LH1n4P6seqDH1kSXtO2/Hlx8qMGm97zDmG aX4WKAAAcJcE54dBnSl0PgAAAATn1AzdsAcAAEBwcttymeioj3ABAAAQnAAAADDN4NzY2Ljv1KlT PwXGO3369HObm5v3+CECAAATBOeNX6RnZq7/BBjrif37/7O8vLzmhwgAAEwYnPGL9HVgrG8fPPiO 4AQAAMEJghMAAAQnCE4AABCcIDgFJwAACE4QnAAAIDhBcAIAgOAEwemHCAAACE4QnAAAIDhBcAIA gOAEwQkAAAhOEJwAACA4QXACAIDgBMEJAAAIThCcAAAgOEFwAgCA4ATBCQAACE4QnAAAIDhBcAIA gOAEwQkAAAhOEJwAACA4QXACAIDgBMEJAAAIThCcAAAgOEFwAgCA4ATBCQAACE4QnAAAIDhBcAIA gOAEwQkAAAhOEJwAACA4QXACAIDgBMEJAAAIThCcAAAgOEFwAgCA4ATBCQAAglNwguAEAADBCYIT AAAEJwhOAAAQnIITBCcAAAhOEJwAACA4QXACAIDgFJwgOAEAQHCC4AQAAMEJghMAAASn4ATBCQAA ghMEJwAACE4QnAAAIDiFBAhOAAAQnCA4AQBAcILgBAAAwQkITgAAEJwgOAEAQHCC4AQAAMEJCE4A ABCcIDgBAEBwguAEAADBCQhOAAAQnCA4AQBAcILgBAAAwQkITgAAEJwgOAEAQHCC4AQAAMEJCE4A ABCcIDgBAEBwguAEAADBCQhOAAAQnCA4AQBAcILgBAAAwQkITgAAEJwgOAEAQHCC4AQAAMEJCE4A ABCcIDgBAEBwguAEAADBCQhOAAAQnCA4AQBAcILgBAAAwQkITgAAEJwgOAEAQHCC4AQAAMEJCE4A ABCcIDgBAEBwguAEAADBCQhOAAAQnCA4AQBAcILgBAAAwQmCU3ACAIDgBMEJAACCEwQnAAAIThCc ghMAAAQnCE4AABCcIDgBAEBwguD0QwQAAAQnCE4AABCcIDgBAEBwguAEAAAEJwhOAAAQnCA4AQBA cILgBAAABCcITgAAEJwgOAEAQHCC4AQAAAQnCE4AABCcIDgBAEBwguAEAAAEJwhOAAAQnCA4AQBA cILgBAAABCcITgAAEJwgOAEAQHCC4AQAAAQnCE4AABCcIDgBAEBwguAEAAAEJwhOAAAQnCA4AQBA cILgBAAABCcITgAAEJwgOAEAQHCC4AQAAMEpOEFwAgCA4ATBCQAAghMEJwAACE7BCYITAAAEJwhO AAAQnCA4AQBAcApOEJwAACA4QXACAIDgBMEJAACCU3CC4AQAAMEJghMAAAQnCE4AABCcQgIEJwAA CE4QnAAAIDhBcAIAgOAUEyA4AQBAcILgBAAAwQmCEwAABCcgOAEAQHCC4AQAAMEJghMAAAQnIDgB AEBwguAEAADBCYITAAAEJyA4AQBAcILgBAAAwQmCEwAABCcgOAEAQHCC4AQAAMEJghMAAAQnIDgB AEBwguAEAADBCYITAAAEJyA4AQBAcILgBAAAwQmCEwAABCcgOAEAQHCC4AQAAMEJghMAAAQnIDgB AEBwguAEAADBCYITAAAEJyA4AQBAcILgBAAAwQmCEwAABCcgOAEAQHCC4AQAAMEJghMAAAQnIDgB AEBwguAEAADBCYITAAAEJwhOwQkAAIITBCcAAAhOEJwAACA4QXAKTgAAEJwgOAEAQHCC4AQAAMEJ gtMPEQAAEJwgOAEAQHCC4AQAAMEJgtMPEgAAEJwgOAEAQHCC4AQAAMEJghMAABCcIDgBAEBwguAE AADBCYITAAAQnCA4AQBAcILgBAAAwQmCEwAAEJwgOAEAQHCC4AQAAMEJghMAABCcIDgBAEBwguAE AADBCYITAAAQnCA4AQBAcILgBAAAwQmCEwAAEJwgOAEAQHCC4AQAAMEJghMAABCcIDgBAEBwguAE AADBCYITAAAEp+AEwQkAAIITBCcAAAhOEJwAACA4BScITgAAEJwgOAEAQHCC4AQAAMEpOEFwAgCA 4ATBCQAAghMEJwAACE7BCYITAAAEJwhOAAAQnCA4AQBAcApOEJwAACA4QXACAIDgBMEJAACCU0yA 4AQAAMEJghMAAAQnCE4AABCcgOAEAADBCYITAAAEJwhOAAAQnIDgBAAAwQmCEwAABCcITgAAEJyA 4AQAAMEJghMAAAQnCE4AABCcgOAEAADBCYITAAAEJwhOAAAQnIDgBAAAwQmCEwAABCcITgAAEJyA 4AQAAMEJghMAAAQnCE4AABCcgOAEAADBCYITAAAEJwhOAAAQnIDgBAAAwQmCEwAABCcITgAAEJyA 4AQAAMEJghMAAAQnCE4AABCcgOAEAADBCYITAAAEJwhOAAAQnIDgBAAAwQmCEwAABCcITgAAEJwg OAUnAAAIThCcAAAgOEFwAgCA4ATBKTgBAEBwguAEAADBCYITAAAEJwhOwQkAAIITBCcAAAhOEJwA ACA4QXD6IQIAAIITBCcAAAhOEJwAACA4QXACAACCEwQnAAAIThCcAAAgOEFwAgAAghMEJwAACE4Q nAAAIDhBcAIAAIITBCcAAAhOEJwAACA4QXACAACCEwQnAAAIThCcAAAgOEFwAgAAghMEJwAACE4Q nAAAIDhBcAIAAIITBCcAAAhOEJwAACA4QXACAACCEwQnAAAIThCcAAAgOEFwAgAAghMEJwAACE4Q nAAAIDhBcAIAgOAUnCA4AQBAcILgBAAAwQmCEwAABKfgBMEJAACCEwQnAAAIThCcAAAgOAUnCE4A ABCcIDgBAEBwguAEAADBKThBcAIAgOAEwQkAAIITBCcAAAhOIQGCEwAABCcITgAAEJwgOAEAQHAC ghMAAAQnCE4AABCcIDgBAEBwAoITAAAEJwhOAAAQnCA4gbvVxsbGA+vr609ubm4ecj4AEJyA4IS7 SIRgBGE1rW2fP3/+mzMzM+91rh87duy33Z+ze3ls3bEs1OOK+J3Wti9fvvxo2El8b/d9W3zfFrpt 3uvfYwDBCYITuCOdOHHil10IXosorFZXV5+63UDM2Jybm/tbF5wv72VwRtzl/qujR4/+vgu1T972 LxIzM1f7be6f9D2HDx9+M8fRjeHB7YZqjculpaXLcXxnz559dq9DHgDBCYITmMj8/PwrEZxdDL3d /f3V+DOj6MqVK5+bRnB29u31ccXsX+4/IrOL3tczrM+dO/fd2420hYWFX/cRPdGxXbp06Wsxnojv GMfi4uKPJ31vfo8uXrz41Rx3bC8e7x5bFJwAghMEJ3BHB+fZs2e/n+GSodZFzVfydXXpbX1/Ph6z cPn3+LP7WXGhbqdew1m31V7bWZec5vN1H+1rwtB1ojU4cxayi7wf9cd606xgbCvHMxRvuTS33f7Q 6+PxoSWzJ0+e/EXsu3v+sZgd7cP+ltnRHEtut4v+L3WR+lq8N0K5O5dfjufKrOcDA9+PhXZGtI4t 3h/bHXW8AAhOEJzAVIPz+PHjv4qYWVpaeiZnArsgmY/X9Ms3b1p2mzHaR8t7/TWa1/K5djlrBm1G 39BzGbsxC5gzkvFcH1k37SNnLrvtvVAfyxm/GpwxnrW1tVPdNv8ar+3HNztq2W0ed8RZF4b/HHqu XVJbr1fNZcR16W68vp/d3JcBGfFZQ3NgX4/l96cZ4/6hJbWnT59+buC8P5szqd0//4sxxEx23eZ2 lvcCIDhBcALbDs42uiJA+3B7ctTS1AiZ+nzM2sXzXTwdzbjL9z399NNfrzHbbisDtgZTvKb7mXOx 7iNjro65fh3v6ce1MO4aznxNG2F57DXqInojluPY2uDsw/VqPQc1bHM5bb+MdjZnf+uy2ozQcgw3 ZmK71zxfr4Xtx7mvDc78eujc5lLcCM56HvL57SzvBUBwguAEth2ceQ1nXJe4urr6rZw1y5sKxUxi RFfEX/fatzISMwbbGb0mEm/ETM7g1aW6uf2c5cz31OtHc1sxxtxHBloGV0Zdv1R1X3sNZw3KjNJY fhqxmMtTM9ry+QzD2GaEb12iWoMzZzfzffF8PNYdw2fj77mcNpfEds+dq8t9a7B24/hUvCdmPGNW No5t6BrONjj7GxLd9Jp+v/mafRmc/bLe2X7cV/tx7/ffA4DgBMEJ7Epw1mWtQ8/n7FoVQZUxWGNr VHDm1zVMc7luG5xD26r7yHHlLGJ7zebQNZwRmPWxXMaasZ2zgnU/EZ0Z2GW58GwNzoy/nMHMfaXy 2lvEEuD++N5fcpvHnddnThKcbbD2r/neUHB2DvTndUFwAghOEJzABxacec1lREnOcLY39pk0OHNW Mq7FjG31M3jv1Y9h2Y3gzJnYuuw0XhN3ms1Z0hhPzrbmfuoNeXK2sw282E7OruZx9NeLvhb7zdnM iNqcae3vBvxWLt+NAM/t5Vi6c/Sb/J7ksUbQxtLkdrlvfP3QQw/9ZeDc3tjmysrKcrOkVnACCE4Q nMAHH5xbfZ5lvYZzkuCsYVbVmb1dmuG8SX+jodkmQG85ttxHfJ0fF1PC+KabBtVrMOtNfyIc+9nJ xfbOuHVWsg/7m8aSH98ycDOgW24a1J/bqyPO7f7+3ApOAMEJghPYOxEuXVj9LmfOhl4T0RlBVJfT 9jezmY1wivfn1/U98Xj/WZWzNR5jJjG3014bGZGXN8apcdbv44W6pDQey5v49Pt7pX42Zm4rdft9 KT9WJJ6P5a65nXhfnIO6nwiyHGt7bWs7zthWf47e31bOTo76vM6YYY1t5J1vYxY13p/npY4zrsfM Y4htxfWX8do6pjreSc5tfDRKPNb/zwY3DQIQnCA4AQBAcILgBAAAwSk4QXACAIDgBMEJAACCEwQn AAAITjEBghN2xemlM8995pG5fxz5wtwbwNY+//ijf1pZWfmEnx2A4ATBCUygi82/z1x64vrMz08C Yxz49MffvXTp0hdHfUQPgOAEwQm0wfmz7pfpPzwFjHHwyL3vCE5AcILg9IMEBCcITgDBCYITBCcI TgDBCYITBCcITsEJCE4QnIDgBMEJIDhBcILgBMEJIDhBcILgBMEpOAHBCYITEJwgOAEEJwhOEJwg OAEEJwhOEJwgOP38AAQnCE5AcILgBBCcIDhBcILgBBCcIDhBcILgBBCcIDgBwQmCE0BwguAEwQmC E0BwguAEwQmCE0BwguAEBCcITgDBCYITBCcITgDBCYITBCcITgDBCYITEJwgOAEEJwhOEJwgOAEE JwhOEJwgOAEEJwhOQHCC4AQQnCA4QXCC4AQQnCA4QXCC4AQQnCA4AcEJghMQnIITBCcIThCcAIIT BCcIThCcAIITBCcgOEFwAoJTcILgBMEJghNAcILgBMEJghNAcILgBAQnCE5AcApOEJwgOEFwAghO EJwgOEFwAghOEJyA4ATBCQhOwQmCEwQnCE4AwQmCEwQnCE4AwQmCExCcIDgBwSk4QXCC4ATBCSA4 QXCC4ATBCSA4QXACghMEJyA4xQQIThCcIDgBBCcIThCcIDgBBCcIThCcghMEJyA4AcEJghMEJ4Dg BMEJghMEJ4DgBMEJH0UbGxv3bW5u3iM4QXACCE4QnDBVa2trpw4dOvSvM2fO/LCLz48JThCcAIIT BCdMLTi7X4qvda534fnvUeEpOEFwAoJTTIDghB0HZxoKT8EJghMQnGICJnDqwIF377///jcffvjh P8Pd7siRI2/U2GzD88KFC9+IX5oFJwhOQHCKCZjA6sGD7xw/fnwzZnbgbnfmzJkftDOcIUJ0ZWVl OX9hFpwgOAHBKSbAklrYlnZJbRuaSXCC4AQEp5gAwQk7Cs5RoSk4QXACglNwguCEHbly5cr86urq U+N+MRacIDgBwSkmQHDCrhCcIDgBwSkmQHCC4ATBCSA4QXCC4ATBCSA4QXCC4BScIDgBwQkIThCc IDgBBCcIThCcIDgBBCcIThCcghMEJyA4AcEJghMEJ4DgBMEJghMEJ4DgBMEJglNMgOAEBCcgOEFw guAEEJwgOEFwguAEEJwgOEFwAoITEJyA4ATBCYITQHCC4ATBCYITQHCC4ATBCQhOQHACghMEJwhO AMEJghMEJwhOAMEJghMEJyA4AcEJCE4QnCA4AQQnCE4QnCA4AQQnCE4QnIDgBAQnIDhBcILgBBCc IDhBcILgBBCcIDhBcAKCExCcgOAEwQmCE0BwguAEwQmCE0BwguAEwQkITkBwAoITBCcITgDBCYIT BCcITgDBCYITBCcgOAHBCQhOEJwgOAEEJwhOEJwgOAEEJwhOEJyA4AQEJyA4QXCC4AQQnCA4QXCC 4AQQnCA4QXACghMQnCA4BScIThCcAIITBCcIThCcAIITBCcITkBwAoITBKfgBMEJghNAcILgBMEJ ghNAcILgBMEJCE5AcILgFJwgOEFwAghOEJwgOEFwAghOEJzwkfTI40f/2P3yfK1zHdjavgP7/7u+ vv6gnx2A4ATBCQAACE4QnAAAIDhBcAIAgOAEwQkAAAhOEJwAACA4QXACAIDgBMEJAAAIThCcAAAg OEFwAgCA4ATBCQAACE4QnAAAIDhBcAIAgOAEwQkAAAhOEJwAACA4QXACAIDgBMEJAAAIThCcAAAg OEFwAgCA4ATBCQAACE4QnAAAIDhBcAIAgOAEwQkAAIJTcILgBAAAwQmCEwAABCcITgAAEJyCEwQn AAAIThCcAAAgOEFwAgCA4BScIDgBAEBwguAEAADBCYITAAAEp+AEwQkAAIITBCcAAAhOEJwAACA4 hQQITgAAEJwgOAEAQHCC4AQAAMEpJkBwAgCA4ATBCQAAghMEJwAACE5AcAIAgOAEwQkAAIITBCcA AAhOQHACAIDgBMEJAACCEwQnAAAITkBwAgCA4ATBCQAAghMEJwAACE5AcAIAgOAEwQkAAIITBCcA AAhOQHACAIDgBMEJAACCEwQnAAAITkBwAgCA4ATBCQAAghMEJwAACE5AcAIAgOAEwQkAAIITBCcA AAhOQHACAIDgBMEJAACCEwQnAAAITkBwAgCA4ATBCQAAghMEJwAACE5AcAIAgOAEwQkAAIITBCcA AAhOQHACAIDgBMEJAACCEwQnAAAIThCcghMAAAQnCE4AABCcIDgBAEBwguAUnAAAMFlwxi/PM90v 0sBkVldXn/JDBAAAJghOAAAAEJwAAADc8f4PNJa3987g8EAAAAAASUVORK5CYIJ= ------=_NextPart_01CEBF8A.2314F090 Content-Location: file:///C:/465B2E2E/BASIC_ACTION_files/oledata.mso Content-Transfer-Encoding: base64 Content-Type: application/x-mso 0M8R4KGxGuEAAAAAAAAAAAAAAAAAAAAAPgADAP7/CQAGAAAAAAAAAAAAAAABAAAAAQAAAAAAAAAA EAAA/v///wAAAAD+////AAAAAAAAAAD///////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// ///////////////////////////////////////////////////////////////////////////9 /////v///wMAAAAEAAAABQAAAAYAAAAHAAAACAAAAAkAAAAKAAAACwAAAAwAAAANAAAADgAAAA8A AAAQAAAAEQAAABIAAAATAAAAFAAAABUAAAAWAAAAFwAAABgAAAAZAAAAGgAAABsAAAAcAAAAHQAA AB4AAAAfAAAAIAAAACEAAAAiAAAAIwAAACQAAAAlAAAA/v////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////////////////1IA bwBvAHQAIABFAG4AdAByAHkAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAWAAUA//////////8BAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAGDbhs/Ev84B /v///wAAAAAAAAAAXwAxADQANAAyADIAMwA1ADQANwA4AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAABgAAgH///////////////8AAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAACAAAA4kYAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAP///////////////wAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA//////// ////////AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHIA AHic7Ht5XFTV+/9z7tzZ2GZjBhB0BnBBRRk2t5SZAUkxDVTGpVIYkE2FQYTM1AYXBEsE3NLS0Nyx RDNsU6HMslzAPpqWJSgJCBZ3AFlE5v7OnSXJT4v1+fzx+7xe30NvzrnnnnuW5zzneT/PwaoqRTW7 j/W5BY+lEGCBieYDp1cdssKchACE9dlE07Stmv6/9D+VejDsrXtI4pyNwew5F4OHwceww3DAGIEx EsMJQ2BRARBhiDEkGM4YUgwZhguGK4YbRh8MdwwPjL4Y/TDkGAoMTwwvDG+M/hgDMAZiDMLwwRiM MQRjKIYvxjCM4Rh+GEoMf4wAjECMIIxg61ps+L/052ka6PFPJt6LcEjDeQYsfdwU/GmSYY2x9cXo j3MfwlxfYXn9dO+26YpVlZ+XX0IssCoLMPYjEhZCwt8as3eyAwL1Xs+TfmcdHlu5cIiCaRABz0L0 PxhfiK0gMvdjsX1P8g3T3kNgK4dh+adCOpZDHMz/2+OL/8H6QzAWW8vMGSGs8/+z88/YCMYGOML/ /+ffZqdGYYzGGIPxFMZYjHHWNavgt3YiDD+PxwgHi9IydRNxHoExCeMZjMkYUzCexYi0tvlfT1gX Cd6TKM0fJEaXF1pzRj8WYGXyJB6998WCu4s3ThE+5WmmFaP3WrDoWu+0CyveGqyEvrij04+9q9lE grKOMO8LowMKZp+mPD0UqZFZp4QYhLDiBjOHWCuYtskYL1jbKtWEuZ1l3GyVXE2a58ukfmr2r+W+ aoseMzJhliHHv+zUUGEbhznllvOugAtAI09r2zjr+pl3/a3A44x7tIpHZaZfRr9d4ZE/ZTu4A3r1 Yyvj/rNngEXfWdb1V1rnxrbUE0qgPCkHBkwZCNu3+Bxn28rMJHrNTdNrbr+WCavsNmPkWWXHUwOB xWI+X4ycmXaXrO3tru0JIazf2QC92jFL46kRi/nWx1rPzBnUzFrkRKUZCrM8mWdACK3Er6V4bxl5 2/TkSWQaA5YzT1hz6JUzEmXD7yebfIheZXYvmTN7wdisy2DRbYvMfytv5vk/kblPrzkw8k/Hg85D FvkPUVu+dzW3rgh91AdTVqgdR6g0PDXB6S1jODwkBOCRfjH2PAw02IZFQKiZ77CdVBPZPNzgoaUJ bfPvpea2C0GHWWIxpEAi9glCzU8pEI/7iMd+QgpmrTQ80zSAE5+GgEwRArd+MefqJqQy590yc54N Pua8gj3a8pwdZq2faqkPTrA8K1ZYvnNdZ85r3iiyPF/fas53nS0253D8HXMeu6vM2u8pc64I+8yS f3LR8v2w7yz9dt62fIdPfS/p9yqL4dGZc320b2Yec7DWTbPuCbM/FP1bnj1J2GRMYrnpsORSsD3I wL//WfoA9xeF8+tQwVAPeM5cv33qs712ff5B87Egh1tym/0W2t6fOmSuj12935JfSrKs541V/Tqx IkRZ39vy2I99GfqDtYevmXXSJhvuY/3a2lcQe8wunNRaL7VicP6afr3rq65ZxrXNj7A+2+Zva2fr f+/lJJj3oqV57zPJ+GUXwGIzmboysJxHZr9KSvZrNtQe1DDv3K19Tn5Mnjauewn+jl6392MmQlrn z7HC5iPZfCNer3pGXnbW3FbHt8ImS9u6sB+VzZzzQow1YDnnQ9WPdO+/YXNtNoOpN7dRM7xRjDaj YsTY2f/ExrLgn9lYFvzWxs60jnkRYyfe0K0Yu23nzIFyU7tRbv8Nu8qMy8h7skUMVl5DLJs/wciI tMpoE3oT/xSjTWgPYspYViud1Si7l6xoW7//lO8flwtTL4E/5n5mnpvwizet2IMsc1G6HcU/lJvS TdmHKfeW1e/196Rye9zX6u0DRR21cMVOtABdwKfoP5bF0ah/k8Xv+T6MfizASMGdXEaWc1jldlRW 5SbsWziQAVM+Kvtf8H12ossohWCwADFyZJ7/G77Pf+tc2mTO6FoKsvj1//pV5r+VN/P83zyjHngc 4RP4Pp63KsMyJhwOY/yYBlzzg1XmNj+G4fUoSMBMnIitegaOsn/f2sMOqwfDbbZ4MCYHi8cw2MOS HxpsyberLR7HmUiLZ7I0w1IfkGPJPy6weCpjt1meX95p8VSS9lu+iz5u8VBCT1o8kwNnLJ7KT+cs +QtX/tRTeRI/5XHe/BDjc/zBTIwIwrKXvXmTeZeILH3/EW+mP6Ece/Mhoyd8a9kRnpwrAf6dI212 53GOZOY7z7pWpm4+LiiIR8+MnZASzB1CSa9V/ZEX+PvJy9oXI4fH50L0mgtzJ2K7UxL2Kv9VQmCi WXaW/h+/O2P2c0pKfIZ+sT4xUzEjZXGKXjE+Q7ckJS3JvF+WGn//4UrF9GRdesJi822MuXa4td1w f39oG/3eoj8cn2W9d4rA+8fs7t9NzP0TM2tmD2n6ye6f1Nb2TJqBdWexWX/GY8RDFtauBPNN5JMl j39w/8Xo46Sox8e3SYDRb90j2/AXyQtrG6PrjB4/6fgasOgRk9gw3bxmZkzm7vXvzsLHun7e3xif MaKKX8mX9W8+yd9JJpo5u8RfN/yT7znEv3/PzKkmp7ilKzJZeLiIB0MHHf9OiesosNgN5v0ssJz1 WLBwB3MPxdgRxs9n9qQQLHq2Ayz7cxAsNuh9sNg7JqZgdOEnaz8/kZa4wsa7j5eFGOOzFmcuVUzU ZaQnZPxem7/7LVP/2Bk3n4/C91M2fKO8+Jdb80fyM/sjVy9e3THcXbjpdSw/364jzP0m+7E6iw3x iZ4y2GZaHO0sPdhbzsgaZLZl1zd2Ez/iGDQVWWJhgC97aCzU9PhicyxY++lvn9XWeai/WmGe3KIb t8zvbc/ZOZ1m8fy8rdHIGnC3BavuaqDbW+jWboqLOo2wLrvRKCOzZdgDdYNsGioqKqCuro6Gixcv wvHjx5vhjTfe8IRsSKQTE2HKlCkQWB4YCH369Olp2UqXVkL5pVv4RIwdi+dUgc9GUbfFz+y+N5/P osdCulK+CwrCv+xqcf0rGYPN/fjzpO3TRNEtlEMT5dHQuutBG1fQRLUb6+5Pqm8jxzRR45soBNHB qKE1u8UYIXhe0GKs6fZHdfeTG+vbcNPoJoqA6BzXJmps9cPNOEiru4+ObMfCYg0n2U0Up6SJ4jZR vCaK30TZ4Qf7PqRjE+VU37bp5dpOv3OEFnuPn6FX6rE5jsOs4ia+j+QyQi5jxQHsMzUacyrIRuN2 B4lymHa2OEd1mqWuu/8lYhMTJcLtxCyZlzREOMwlY5mYlSTzkpBxhKezll0k4xTJuEUyXplo4DIx 33O/rNG49nPcD2KdAYFIz4mQ8PrHSjwGO0bVdFMqmbzQY6RLqfNEhfS0eJmYU++yTMzN9Z3Ky/Wt c3UT260YaC8fOOkticNlX0f/gW9JnOqd7SmVWpx7jrwnFQjlfqOGqiIkQUE1KsVUZQsV1qyxF3xs 97LzZV902ZdNXPZlXR6U6mcYMHlEYf887YhvpRul/CLZFz717ruIFbwaB0mS6lOWm/NGaaEbbJQm D94oPS2vcu9SfeHlJtbaF8kcimSORTKnIplWUCQTFslERTJxkWyAZJx0bxVeVCDhfbvLsUdP8Mkx 08d6h4ypRTEEtsKm56chnVZL6LQsnZbUadn4P45Oy9VFFUcee/bbyIbxzzYhQhh7WPT8NBFuKNZp JTqts04rxQ8yndZFp3XdpXUrkvn1ieOTN6e735m2TDzAAz215goeVeQfGSFlwZ7r5AC2QDhm6q6U 1KemVU+DO/gX+jyJ+DyJz7ozrdF44AcyNXnM1JPzv2k0flCDP+xwkCgUrkmyoYYkGY83zvCcIXTQ SoWnzJD+VuA+l+K+y8TkmI3L2fs8OHG8TU//Kz16t/fG5fyNy+02Lrff54J7OfUT7uVYRgqlEuRJ 8iSjI/Vj3Vw2BEbXO1cHE5nrWbm+ZK6vhp3ru9Zvv/tBPIXTDaRdo3GqgzORkqAt8HA/IQxNnYNe 0Y7dnD+10Vjeh4dIn5iM4onS52NSYwwxRTGwJ+ZY5JnIszH1kV2R9rPxLjgXyaRFMtk4aQVFxjUa H+i2nUFJzhWq197dV7XjyPUjRzYeXDxbfAe+2Z9Z3Fa6qnhz8f7iD4u/Ls7+ofiXYtitkDqU9tu7 TCzc/On+tySioyfFO3EumVZ10rkUF6TUSdnRk1Ncjp50Vfxr31sSN+WX0WPnbZS6F8k8imR9i2QJ /cZJz7Xx3J+qUm2qhH1fPP282vMMSIRFCWfQK2PgWtmm4GtlezCOM3mOgqc88ipP+dp4hZQrF4nf 0/Jcy/iuZXauZfYzy7KEcplILhPHcVUSlFJBnkEPjDvIbH45e03i1/Vtm2s7o3WvZ3OFg97Llp69 fQQFlyt/NPF52Zw1iW7O5MzIlMhlYUOr1fnhRd5t3z5bHVvd57iDa5nU0bXMybVM4Hq05LisLvqj 9z/wDSySBRXJglcMjBjhWOclGR2qazTO/5z02VldWl39cEtt5yjd60GqrVvbPQMPtbRK62V1CEZH O9TfLq2jF6tyVK+rDo3KO9h+OPPOPfad+qdu/qDlZd+ZNq/cafIQ6saw9R+06xYUCoPCaC3tdi+v b8OiFBT17MQtCdsvp4vGfxQXHSSCtngifYKcSJf4z+7bp6lLKm7XJc/e0hHr8w3X/rLH3SgfzQ98 X6kkeFPfhuFda9ZcqAj1Q88MnOs17ES7Lke8MnmY/+q2KzmnP1/4oso4lZibF327Xbd2ueuErjXZ 76a+G7+VNg4s/3Kyr2D0UfBQVfp53J2s+plup3mCPgLYr/pwzCuTRt7fXn1D8LMg64HCxXMtvY0u oRu+NX1Be0TC8EjhG4WhWxJU94PkmZGz5ML58oNjX5Oe8uyfP3LWlrtX4ZTnjghf6SV5jbxFTvrJ /MDHb4zfZL+5ful+11Wb/fb7wbZ5cyL1kdzkHq1byq7I1X1BZaQVBcEtCQnP++t7IgUxVZ4xgS98 5BlwZ4f/6gAP9y8XVce+o7qppxIDal3b/Qbr+6gIoBJHBqmXswn1cpZ6SY128C2l3BQDqyO3RL4k f1WGiu7cKgza5K/wuIuK0PbP3AbfYhv0RfqqPfoyfcicjdEBJa40VMnPLnhuTGbMU0hTR8Qhl+yY jTF7Y07EnIsp9avMyb6h/zm2p+DqYp7B2+BrILKIO/dYzzlgY13OYu/96fqImtVXl9qFBVEDE31O nVX+5P4+qiDKB+QZiuC8svJscCmn3HmX0/7+70v3RG2p3qjaqzp/M8PRhSxcDb9cOVbWUy1o9mwO bKxYlfuT87ETPNFXA/JiXls8/BD3PeDlOKyq/DS5bE5cVpnj26vKYGJoQdmgVT4rX0K10+4uWmuA Vbt2G941lBsuG05GXoqsiSRbIrniAeMKIgt0a77Uq7Z/tb45YV/lemRYWgx3SZ8FwYb1E5dzr8Zk ca/qsxq4VSFaOBsYGR3p3uD3/spnF5w7g14vGBgMU79NK80u3Vi6tzRXenq/qIys3DV+88nvS+8d qfuCUz4oEHHrv/WWTTp2L8ZFeKE8oRbuLlr88+5qlX6qPl6fpY+qpOIqMysvrV263gm7EOkTDrUX 8Ir7vAlxTjdnwslbk5pfaE5rzm7e2Gxf2bcS/Co1lQ3ND5od6H60UDqKVkyiX6DHcoZsg7OJ2yqv CIiTnxNr0LnK7yufinxR+eVmmKk5rWPU8Wp5ffklem8znGg+1/x9sy9fLQlx+jDHZysROnvcM9Vz qvXVK6vQoBotRGjC5Fp5knyp/DX5TnmpHD6V/0vuy2sVvWs30ckwa+l6qMtdISgQ7BZoyBrt3mPH ytXbDNv9Dvt1lde07zrmu+Uacu54Z0eZsGDnNWXBCMFEwd7EgjMDI4ILNa8vDOr/9Itj/WCZdg9k /xQX9fPbt4y7/G9VxQrCmplA4hd1AsR/Apn31Bkws0WdsgCSaqjMW1Uv34iLCtszMlpzN7I7Mi5q 5frLP34XF1WYXRsXZfI5suUyJ9bBNSbcPWreQJ7WZEja8934hbc0ky4fjhVqY6KuqTO9oxLsPtqV xpsxWjwtP6Y4ZnTMAbVp7lzc7plbmlEb6zROp2IcdQsHTPtxzp4iSbQmQTFuzuryed+HpZfc0gTX aUSO+mluUVlDkqeluEcl8WY8JZ42X390uf5mTMTUmRqCfz08+51bmgGesdId+uiPdumOuEcthvRr 6gx5VJqdZ9RS3oww8bSf9bRetCxz3BzXULa9PgNC5VF3k9bGpWqDtlzmxYqd0w2rlkzPrXpZHpWq /TkDkZ/EJGg/XPGx40yNplhawJleiAZ0CJYXf+Anmrow/RNB6DV1PCwgojLyShPlaa+pWROmf70l eMvrUamOTcU926u/mR9Q1Pfd4OOIuLf2nREI3VvLKrm3ln9vLfveWs69tTzxvbXk3mN7j6Gn3nvG 3+PO7smzVPNVy1UbxgiGS3D4siM3r/qN6neqT1dXVV/cAw3VD6o7Svs1D3gvuFEqvtsire3s+wMF kLxzlVT7tNmxZGEfsqE18UEbIGOLk4CmG41VcseabsbHTCZwoDPMg0NEY/+RrH44G12ZjW53bazt XMO4lTe0qoZWnrrYsUI14hi7PKKhlVKd4SQ72tW3MY5bMUnICbYX2JPL77bos3hzBHpBbaf0YG1n 4nZWTwuVJQpgXUR+QoSyRGziof0SgL7biVh+2EDhirTdwgTmDmig8H5GE2XaJMQBaez4UtFWsd0O +RFxozFhO3FwmFwlX+a0urbTbjuLTTRRE+1kTXtRo1HRipe41dTckk/PzTbgGKDcQJtYBvrhA3vo tGeCPW4bzTJ0tHENHR1lxQqQK8hsGMaiVywPdkh36aBjI4ibMhwAx8pngIquplesplEsQp/SNOpc /RIyvNZBow4dFLxKc+jWUYGBtOFVJtBgseiCdTTNbcVSZNGG5nU0O3cDcHNzaVSwmuYaBF03C1EO jQw4RIDi7YUCuqAEigl6e9ccOMShYQN8wKVMn3FZBTS1OhBVrl4duOojQoLWwiYSe8ZZKOc8KgR6 VTGgQ3AaHESE3FleUE0HbgpU+coofsd2UPWTUXQxZZogyn2Jk07T1J2XNgFnrvAHeJUmDAZqNbxG kwOFzQXraZIEw3racfVOeJ/uWYsjBUiGFKAX49AoHp9qbRpNJXRTmT1URhc1UwdZXCJVAJn3KW28 ABZ6w9IuKqOHahSjhI6WOBZkwpISFiTQlIILySxQDOmgkgWQHkimcOFBj2AxDIctE80KRza1YZUb z0Qx6G5Li1HkaN/cpvbm/9TBR+3GcexGY3J9WxkOR8Za9K5/VPXDOWgOGs3HW8wiSC0Ttliilvq2 +2/WdgbwcVyqVc9oaO1UnXGkrnDKz5A/1pxn15RHjbAjPEz5RBYOPmOzHExCIeunOAI42dUaHDOa eGKUdcQbv3GUerjkI8JZInbC3q0ry088RBzlfEdYhIgdiI8Q6X4iH5FZhRCraGCz5ye7sjJl7FfE 7KzNMCmvnzQfcbo4/SRO+egZru4bN161tNG4cxLv2IZ84jP2DxxQS4dRBSok6FNEZMpGDiImBngt dtEMQ5myBYNYAV4T33LJ8mk07sjHfrP9KbuHCmE1J8Pjy0UeX5bfUqmL2yIuKirLVGf6Xz4/oFzV Zaf+EZJxNJahFvHhmYqVfHRdIWr3Qg+9tyDWqCEayWShkAwYdlMhjGNDBg6DuUkV7JWFaA5e8ORB 25yFKxQzRpCyWZJh/llT5EJh9nCFaH4AmRWQvM5lm+tzAez5AeysdcLxr45uNO4qwlNq99ZO5qRN 5CG/Kc/5w55Q3oALHG98fAmNiTs+2P7hCGUBxIpmWHQnBqZDOHQMh/hoSAVPqPaGAFBqxuMI2bRy gDj2qTDQN0M6LB2rTIGkI9HMvxFUjfdPVE9pHKyOH6vUD1XrIXHvvFCtJmOWep1GN0+d0jhDnRao ViSqNbCwZK9a8cLExQdDE4aqE14dq3zxY/W8QPUkdaNxb9B2PNlxHG8eUYje9r5ppyGATzpNoFRz R3N43iSkidk7UP8er3CifCduOfBiUJDT5CDHdc5wYDd+ljwcuQmBUuitQRNDG41riH284MCYuy0L 0Xxvj+kzRkRrRzUaF4bwfDiENhmp00S3u9qN4ew8x0bjutrOFzajCkDIr9H46iSeyJkz5MOBWwe8 VuzztL6GVMQkfR68aMEPvG3e6flkIdqVjBLIy/pdgxqNX9V2ij7LJ6L5SC3C+4lEJasm8Vro+Jf0 gw070IvTav0hYFCPl3YkCDTihwMORgaemBkzEmVksJyDTT6/GFcJh404qxDGNlFPB5SdUQh3ZyzK ekEo3DhpM3pbLdq1fOoY5R6BkIZNOFovNA1+tkEcK5j2sTpfs3iweviWcAVEf6x+aZ76/HiUUkTy EU+UQJIp49gT5tzCcYYWjYgmk4SDYIryrNeik+SMuvue1WzlRE2aw4j8X6azuJ/OvKK7ig8zPtc7 mqgQWLIFEXdbeEVD7rb00MwV9pFIiDXwvrp/CABhK878Bebd2m9E4TPtBnfc7uLUtzEU1DAwhtxr D/Dj1SbqW/BG6PTVcmIp/nykB4R2g10YWhZMHnX8EiChiZrHajRKnVoaWtU/0MaWcz4xJCcbXWVF oXeRlc8IM5+5PmhrbmPYjMv25td0R5vZrL4Nk13/JsoPAWNYHBhCi57N3IiE8jCndYYSN7QahtEO YEY78ZGV0c5zyKBAQaPRfBdxW3DrwVt5CNtIYShxgGOaNFSM/D2IjzhjJKzPOMtMdqGIE0fCfIkf F4t8jIQ8j99EsHNcGo3nPKVYVLtZX5DOVaoT8nOyHntKVYb2O3NXsmlBi3jvN6G893azbneZFASf vNyj5LBc+otzQpF7LD0uEbIgDeLLLXe3UxS+n8DiZxRxkKFVZP0y1SsNEmZ74YPz7FTFEtDpFGme 6TqvOUk6hQ5SZ3tl6hTarEivrBX9Fy5TpK1TZGUtUyTt6Z8AL6YqIhb288RsmkPmIY+53HM/OlYO uN2FKXWBGLSI/Y6zIjDrwt0WM6OevttCH6NXgdJggjvAtnsocODwaPoqvYCmb9OrNnDpvIaGDRvy CtbStB0FNeAEDydAKGEy0c3Npm4TFQqIyqWJtOftiJpmPYlMOugypdnHCih6TfOqKaZ4gk9FwCRi 3dsE6z7d8z7eScgAHdBJWN7MhXVWZjeloKlkSOiiFqXfb7FDwNLBPDmc9kAKwDLqoeJLaCqlu8W3 i0rtpuaJh8JCPoxB+lbqgZHDaoxC6a2U3g8SYPGYFBjeRKXAi3ziWZY0gw/pfIbdAlAmKyUuHOah BanW+8/UuNrOmvKG1ipVW5uJRVaVuzfgUIJ2rykfVZXC2uk3okrlIWWpPMjutgVQEWRPdbdR5Vay Y5vJzgt7TwRJtYocOc1t3vzQnzoQQ39Wrnuu3egbYqY65+qHBxmjMo7xZlgcDjQB5rdmDcNv72oY fjvuSH3Crhl+0alKNXWEvTCfOM7ZYuokkMmBOMvhSlgnLnFMMitXBSsq2eyREoalQt2+7yQ4dzkm u3zEjStZJOW9LOO/LMrDBOfbbtRghgtnc8cTGgQlkkJUItmMwcZoNx4skXjjAveAjHdAxp94QJYp KpHYHxBvFLO2ydjst2XoHVmg18fiQK/PxRDodQkXrmPcxrjHVLTjAngFetlhOHuVTCHWTOL1zSe0 wY7Q4+Amzp7MEPG0RuMehv2+Pc4Qyzc/e5pa+gfb++UTsWKD5U8pMQCGUeAPZmIxMMziDUEeAdeC QZkuWscXx6po5l88Y2KB+xnOyiQzscBVHy/l4OnKgCClErSjpyunOCvjI5R6mXIQPitTA0L9M8KV r/hrdVOVKWHKNIVSMV05E5PMdqUiYtTinQHaBJkyIUL5YqlynkLZf5HQSohex4dOYUeHIA3wXnFG nwbu3cJLGXl88BTWwwdefLJr0HRKdWpIptixM3hhCOnhjYL9EWDKSMaes9obBfLXO4azx/jX3e93 vL8W0WIiV2k6Hoo+Ch9MfKQ280f0ce/j5EroYatQJytE/LIwzhlFR4vJGaxlHLsOgvX8QKndFOK1 Gz5B1ZMucO5PQYgTc9Vr3NTzwRExVWRcDPBnp08drd3G3vz8vacPz2HP2Xt+djg7oCbmKbYgn8iY q0F2UGEKj0PPxNujiqtei/LJrz1/MSaQEOx/u+trz689V0QWTLgtaZNEgWemyBkbiO21nTOGzgM+ 6yqH0rtP0KBRYnr67L6w9IVLuins7/VV5H092+BiUDvoL+luDpiQddP7AqcqxgCLXi6dM0rsND3M 9euE88ETsiBg4XnDjwbT7G6D47ptbM+C0Lst10cXPFMwp0Dr2uCUxwtnbyi421Kxv+DDgq9xFapy ygtkT8hqF91Bjfq+xeplhqmbBxkuxN8ThRkalhTDuuI3i2tzyoovxKdves9gXwwdxQ0GTfH0N8Az pPQCZ18BLChdUXqj4EJ8puhyce3WuQYwFQtLN+MuvkhILh5eri7Pm1Z+9K3z2tBzozpRAuhp49af //VdZcTbdMfONa+7uC9IUhM8hrO9K7dyzZydI8KcrUHOns6e5wPeDzo3Kjw+OszZVy3X/OzPAnjE iVromAGYE/fy+i1+YDKaSXFb+D56Z98JE05hUjT1tAG8/e2FZ3bNvPZc7q+UeP1AKJkpxio/CzMm 5kRclTc/mLwgwSz5UhO2o3ZN1DmJoYMY7wyQo+PE+BaFkl/pgWyiOtQwtIl66ZdQ8s5FPQTriBaj 66FQA0lIAR5inoR3kXQUNkdNlLS1jXG/v24xEo1GB0eyxQhORB+S/YPxSZgUd+DzK5MKezEpyapv w2SaitnUQqaHHW9UqE5ZyTS5krOcX9tp5tI6wcJbDxguTSIIOIztmJ8YBXsQpzghElb7Fxwbl85N kzBcGiIhKzkbQyTsdZhLPxiAubRjwz6WQqGuu39SfknGy+EdJiFIekG+ltCLwT5OscQZCTwjJW2y uc6TvH1Jb1+29yC9M2+JLGqewk98yyVEwl/ia+ftO9jeG3ti50J5E/exeM61Vapzft8PRO6UCj1X YuFmMmBvPu/uh/ts3NzToORwXXzErzHcrKbjzdw0D+pTIDNeOddfBws/Ad94ZRq8OEcZ/0KqMjHY FxbPUSYmKOcsSVVmQMIiZfoW5RI9JG1RYoLODdiSuUWZtUyZeUy5NXBhSaoybbcyK1WZ9ElQwsYl ygS98kh/C0EXzuXecqwPNhM03xvz8+n+o8KahtlCXjkOeXfQ0Z20SUV30bTqAW0qp2lDDw6Au3EU XL2Epu/hjaQpLk1XMH/fzQa6BgfDD4cKRnMbS0oO3NHS2pndn3yCvypfTROtgbnPoZybz4Eqj0Zx sKp1Z24qgVRrs3Ck2HoqZwWOKTkqHuCRXqXZrbQykA5cT7OVAgisWw9cZV94A/JoXjUloIuL90AO 3cxtDQzsC12raT8hKzAwF1r7wWHWktU0+RlaTbNLoIOGNVWsNTSLShJAThUrG6i1Vayl6zsEfFek ukz3NP6pS3DI7BLoeqh5XVQS8z8AZfEJrAndlDaTbkntakmUEooJsIXxEsxOgg9b5+MOHmgyiu9u mTcbZrGzdJ6gmI27fbGb4sffp2axsY+QJsgWbBSwLM7ACuwMVJXXxGlN1I0y7BCoYk1GbRltcQVG VD2QsFUebPXWh3Ffcf1OlNfdd2DX3X943+oN8M3eQKj5+LUbrf7AeCb0RRyOimWJfHlN1CiLO6B4 LPI9hCNfb8Stb8NOwfmbZq/A7BTQGip30oaZAR3VKo3iBe0VOKu6WU7WqDSzriBtmek7dpUqynXY +OjSbs8uVQjLBQfE5ZaI2EHIKjdHxCZSjA5n2TuIHEUuITgU3okjRw5UCMR2YvK2VMQdKPYUT5Kw skWVmK9xNNlOqU1lwnzE+t7qbzAOx0I8Jtsgmc54HK+6eeGwOMq1Tu2aLV4oshcCwZ2Jj/FFCe+K jH9FlKhDLBxcM67HDjRRKFTDQxlrB9Zk7pvEBg3iwowiJMDeA5t4KEP/r70vAYviWNut3mYBYRZW jcIwIAqK7IpRmYXVBRlQkGg8MwOCosiwivtA1IiJBgyucQGVuEfUY0w06qhxicecEHdNMKO4saj0 gAjI0re6ezCQk5yT8//3Puf+z739PIPO21/V91V1Le9XVf1Nh71JTCCjXW2lY6RlTvBPMTLVdaQY yxBh+zgd9v7dpGJ0oBWcT9H8CWmiOpMH41A/3uKqeILW8hN+srrLeeIOQDNhCMb254vBhzYdItRY YofYbh2QIUa3ihNxic72Q3FojF++rXOQ7DNhGtDcFCYRXYOEFSJXoLHRiZeTNkCKL5QKIKcRSre9 ounAOyesPvNrDnqG3m++R1wCTr+U6h8dXNkqQ0Ci0I0rEoryDSDdFjVwdHbnnwd2pSHOwhhxVEAi pgacxwSOhLitRR0b7SdEmBw4w168Ex+9UoJGuoMI5TT30a7Tot0990aXrx4bhX6IQmVrt7giiY0k QCeNxrAYADqRm7WNfePp8bTJBwxZCKf31b4kdnYnLtpXttr3pnDXD6KSGJ/iICRifEidCUME/uIY Hzck5AcxEuNzWrqLdpoH3t5C8679MV0VkwMtOxneRdOuFoZ30bTrV4d+I+Rd92IDG1S3hKu6+kPe xdCuCsi7sq6paNpVNwcMNqo85tB+//7+mpFzQNQ1VRJHo5t4QwVZl3UiFZOFavaP0mqtNalAk35f JTk0B0DWFa+RcGZl75+amHxDlczRzEvTzIi8D9VA1kX760O3DFmFTODUKHl3bYtVP4gtIDso38Hz 2uJ9fBIf//T4FLJv/I4UyLhcER80GDUTLoZvCcpqmlpinjYflZZKEB6K2oZqTkshz5pa6fa0+TkH Q0CG2Nl/pZ+PTBk4PkS5FbHYlbUt5GYW5FjfDuYHVLqZhj7YsTh2+InsGL91dbnnAt9tX3irnrtz EQqO6Its63Kbwt7o3+XYFQ1aWVjoW5crHOj3kT5hxcJYcDqL5VoLY5ENaAly9rQ0NSRHgfQvS+Q2 hY3k70hhNvQWjL45M3AjdLT9bg/8pfNzl4DJBofM2sbaE3H8vYEbdqRkiLlLNnS99kOichOFmvy5 PqdcM9fiYB0SoYCczaW67cX6d5fAxwhJ2vsbP6rj3F2xHc4I7r4yrN/I1f1PLKxZtnzoDl4UEVQB iZWqIrEipyLzE5cfN+29NHBIzCkgr/3kUoXk9r4fxPExLRUFH6ajeDEioQlPkeECu0jx2n8H5Dur fVf7RqH7xvHugNN/rU52903jH407Pn0spzgxGtNYK4yqiOTs+6oNg68AYCxJkE+9KbRs2hkWHROh 0Fi6g33h11RTkpTxGq1RNWfyupgNa0tmXZ0yGaRaawZA1764q99A93UI7soLj/04pdHONhH74Zxl 5eMW+Q0tpBzI2cOzKxd/O2MbXuheGlRq7Nj+qPXmkVPIIr3toYiHC4/JBh7PSuNo5/+SxkFAxBT/ tG2iIDv+zocFZR715JfzOLFUoz12NsguP3BpknDXa1OJdsfZ8uzI9Nu7vtXFczwGXZIqd/A6MkTJ oOpxSmPLHMpSceqA29J7edzdT2dOxQlkheHhmxH3JIcN549KhR9Xn/M7diaoY5nV5DR8qNzdtzak F+u7RLO+fX2csp9w4cjfBw7Ved/U6hdtD10HWd87oKum6Yupd+SteUW33nSzvk0H9Er8TF8ADjmB Fob08TLaUWPaOwDU05yv0yIOuX4LndIftAO9llMIKd/tkwznYyjfLG9bNf6TDgynKR9196ASFw4A AHtM/Nm1kf/3GN3Rf2B0zGrLGCqVZgBwXNMnsafltD76dDCUXmCY7hOXNDMoW+uTMtMnL9nnDiRz Op+MIh8dmD6ziCZzBX45RT5xuXl+uUUBack+6Vvgl2SfmV8GJKt9kk/4iLupHM3kHgb6dVM5yOT8 QnKrzSstcEynSqj+lRTVIYimqFZnHFiCLkucaoPMrGkZhTQ/cwaVzqB0GcUbKBMCPQ6cQZszcBJ0 +Vg+oBCfNRRG+ftgqymcBBQQrKE+AIjstRaQIBvBgGx1Vy6QkWsoBPvEmUJJ2ScrBZsFBwSc0/y/ U53n/zzHqmA5ViIf5NSDPD5I7iQlIOWQK71UxTCs7FAMRREtTbIcEUkI2MgwK0islMSw0HpyApHE BY6ImMhqIuN03kDyDkhtIpNlPM488xG1L5i1F0izOpo7OikrxGjIfDF7qsH7TLWBfG6Pyqwy7DDZ qwFYe3N7VwBhplkWDM36iKFZluwWA49HL7z0WHe5BVs8vcdAMy1IyNx6MK04SLXe7jHU+ROQbZ1i yNYLhm19y/1+lF6Xsr3s9VUC+np459P7XIZetU9xqYXcQrgW4W5F4voEIxyemGfdn2PtYKdkdhKs pqLB9mMcxuIM75kmZsjOIZrsDFuLYMH2yLFge70D8b49QVO0169JTa5YqMEeJ+pohrZXjOTywSRN rlL4lZ0X5Gh/FX90SIyfEHH/Jr4ofmqDGfJFzK6GCJ2L/fJ2GegbjaSmCfIysSvhAXnZAA+alz13 rHLMzhdTotcmlJsolIzTSnkz3fkzXZiNi32v6Y0L8j5HXupFbpEhXDEKNrijrsjyUvgXvT6UN/CK JA3BpDp7BBkxRqwRczqkdiOApWxA4Cr4bewIuzF68URZuWNgnWkFzcLGFLv6UROZdbM5Ms/R9CEx FAfoBEwr9aZHBNQV7Bq+VFq7kiZUi7cF9L+cmdLqs1rWIuOHI2gjGQMO+LtJnCQPGsmGXzjhdaZa qoriibeggnrSpZFrs0o8PYRes8cfoaDYNdBqDhrpLxaPEYvFevHo6SFiEU0KKZoUMoTndjHNd6oV tV3PQs3rTPGG7nWmoHrgu0DI0p0GeplJFBsIRrwRuKw6y9IdA7PMlMVXzTzDLjMNdlB5HIpUQcIz WTUyUhVVx1clBat0ljTfKQ+PHRGT9a4qO0YbrkqtC1KlLxBKIlX0VsYnKklwQvanscmWquRxwap5 5aoZC8RLpZDtKCHdWR4aRVQmKABPK92IJCKpbhYvYupM5WX0XoVnzFngz+9oUPLD8JcRpEvoeFwr xVrizm39nHdCYkBrrPmhz2UV8ldjSxdrLvDCqsIXJh+TtREHfBXA847N00tyTYECuS2UJ/K2Bqv4 4u4NoqliV+xAYq7zYWH+QuE38q7pChRkKW3OLnychNQnIWe7/OSux8uh4wDZcL5MIr+xs/+JmOmK 3DKg2dVPKSqRZtkUt7vun6B0cBeL8X6LnEU2hI3bz1qhk/fSjCUL6P0TfB2ShnCZBTGxqLptHVIT KCzk15m8IT9zKnatVk1HjCjQIl0dWYj2c4AvQy3zmUWxAHmxZ0HIaPyUa1/pTAlxdSi6xPXjtUGD Vty2ln88zCemCPZi67VBr03J4GmzhVIFPoXuBE1ibk199irFrs5EXHm2dDIspmK6IgrlI+v4yCLl sXE8rbhkaY7tGrmTFgFBooPCg7NzXw3KnygJfCTyc0g7p7dPOxcvs9q5V1RbphTNlNDMIZHAQDEq Bf7xNn7rF4U9SRJHrh8aUxKFZtDM6afV4JfOdYHIti6h7VoFohQpRZ5R6P5xvAmn0ckanbJCwEUR UK1QgKWZ4csTlub9lBhVgHVl7kS8h4KirI93VblGLvtGhLl6S0+KY4bYSuuTv9ptdUJEnBROw7Km h5zFgl2JN8mRl3fX7MGXcdB87SCPNOkgjSC2XJUXk81X6eMGSM7nJ4P54Sqh5L0s+cS80k3vZZVF rHJIEaduxuUKpG9mMr4I8s/aNZB9JsQhK0P3fSUclJl8yjel39Nml41uBp8RE/eW3Jq6nNd/nR+k XJ8ZDhog4yIfdZwFR4cfHa742mmFoD7m6x884JD4ZeVJNz568NJSaeYOWP6lMHOVv+UnGLU5iqDX DbM/Krg9bs9YY/9kBWIjnbf/xwfukm1FrjeiCN9b99KMK7+f17pt0JfGacZ5+2vwRcal0vTPceZc XoW4wsJtL+SbOnHJ0+g+bukNn60ZPwiZZD2pXBUR414PJvBV6eUqCQirXq6aYQlL+yQRS/Tg4vkf XA4LEuUTPMjmqI4k8Ozc81MR1O6ib8c7/+X95F5EbTi9ZbXLyim7mc8QNQCO51MJeydcSRgNQBuk ajVNQxKqJ9pPmb33xNv1uU0uarzYFYAXu53AbTqIA++m/hY6fCAAKyCJYZbnZs0JxJu/mQ4+0nJ4 nypxYxh0PRmqdnpIHDJFjY8tAMMW01TtrlSN5xUAwv1dcLuqkX3V1OHt6V/6NHNcfj0ZAKeqZ6/Q 9lcUNoMeRoe5UvIzsR6nnxfbX5M/au1qrjNZwlJd1qPYSC9AG7Be4YX6+IOQEZw6EwKqXrF5WbJn in/N8dkf5WjqaoY5ZtA5lrA5LoE5HlyvxLeNABZdJkVtI0Ln2jOEx+/ZjNWTnWi7idVBuZp1hNhD HSiCIozdVM16BKuFWpqt60moZetlFBvYAtWMQqHxVa/ixLWNUIw+mFxPIgL6BMs/KsJpRfUkWxpq mFnTyuIemrrgAxAF4tHDQD0Q1ZMhXuh3l9EDmGYEXTy6QLCe6GPpW39zBrv7tRI5/HxdrsSjvNhX ymJ/57w2LcP7XImXerEhPv5IJgHKIMPYsB+xDLIXIrMhEvM2ld0EWLL7XXgVZS8YbP3nv/2zMtCh SCJ3K/EIb/b1ot+zj5bZBGXi/oVMDZRJeitDI0F7lHhmr1RqR0jloGPxoIra//ANzpzacILeDuWu xusgYfmosZ6chAtc0EKYVN3lCECpN3oFtolI/0B8G3SHml2g9+OCRh6AdfpKCgvmjc5GXSrU+Lah OYQM9rRS+ES+GRYJ6klVO4CsshXWo97OexOB2uBEAO9fvTP1Zw7h339EH7O3g90CUDlU3YocCged FP1Kw+XV0Y5UibFGlrLPZxx14kexvM8Kz73OXvE8OVJFmcjRmDoPQQAcXKSeAp+/CDIEHwiq2yhZ keCYAFyyvBXPeF2wQrYSJV+jVVRNE2JDz/CwqfJu30J/9IEd7D3YVHFOnB1DbgfUk5qapo43r0xw sDA6gKCup820EdAGijEC2kAxRkAbtPJfOhtNfGyCAIDXpv1Pm8OZfkK/NGADJi+AfQJTcoqtCK6q nPugPRdhHEHYibwkt5gVSJ6x4y4y+S7tBjI+4OMVKBWneNuXFUwX08EuBqeBs7IAu1xDgC052o6U YUcFn5m3zNv5HzsDA0JhAF/c1ojxrbiiBBGySnDJ+a5znZNHvy/s60xbcMe1/W38OJcGeJEyby+3 wbq+SOUjTLgCaUe5IgS333ALktm7QFOF1DYS17oSpQniNCmRJSVyIxOEiz3qTMm47SNk6H3uCltj B/GVG8W/4vLS5DDu2Sv6eFh/G64o8snr/E4Xrh0/4C5iO+rKQH5A33xR8EsTEdQhsh3VDL/39xS9 e6WVN+QWqkoQ5SJuuQhXJIr1vRQo6hDdCMREuk7Hdb4P8Av8We7GDuYYW38bSCOHKY5gf0e4QgQZ psDEHZZdagwFGj4kiu0gfaqcOcZWlyCnj7FNkAMUsXhj6opWWsRFz4Q0z9YXlo+zPlyP5iJlCsLm LgIaTfdc6pzDrLaGYX1/JHIRZPB9bqLL11YX+CfCEuwsXDqeNtsPPBjxcKHtMMokk49beuSxAzWe kMvxbcN/1KdiiFweEjovJtNudpxGlTuJkMd08BcJQJY3dAK6Nnk7Ho5JdOWGIXih64/x91yuguW4 Y2B/m/YxwE21Shrre9rfMQXZZPlhK6/5ZH8bxyPIO9To0TyO7RBtPXTwm2ek6Jy4wq4OEQoSKZAI Tn6qXdgpkec/cpN0vZg0V5kraiU1/PBoyKbTjmn0irQZodMW/uwm0Vgc0fmdT7bMN27R3t+Skijl iA+Lx3HF5aMSxrS/x7XpskCX8XHP7LE2FLcKJEoHeHbOSdsc6XMLjXuE3PeAHLBM0RDmNz0XqY2t J1fxIG8RdU35CHe84tLP+8lr5ONW3s3ctPgn+gQ7amluXP6LvAvEzaWjinbn3tQ/fJOJ3sL7iAIe 4HMyq9v2FOwpGPyJviyvTMF9jPM5AWkKlNnhnJOJrdSo1jg/bgF+eeh6rp14e8rHvqUhW9oJXLwl K57ILF1WOipBvH76as1XpVdKOWsvEM+2z0iRly17KqBKRRW75j8rnRfbLJmREl0RtrkhTLzloUvp horWsM0vC77e9yEkTE4hK9quVtyHd58RM3aUHi6sGGzosHHUIUiHGAErDUQ2Z+3rgq8rslSyirkG ADbyfakK0eHZpTUGsLFrhfDUoQGV3pU1TTNPBj1CHuDy8kr++J2+T5sPaFaCyVyRJE2RpkgQW8bs zh19H7OMcszpuz+uMpqihIF3kVwElE9IsJEa/W6k3vtoAWFzgQAtUfdcznj/6Lk793qRXG0/kOri pd8Z7tgo08upzIoTxccWqQzxf/l26OoXWar1+mFuUfuCrsoEj4dqVH0ffSPT2eW/77pdLT+sPj/t LnLzvZyntX/xalef4or3FNAeV1MKlrjJckUr7xets9Anrq7aZcWMGX6cFowrFnxVXaLhbU8anpxg N80ioKLPdJ1OxytI6dPRp5EQv7HMvEBsrwNu+uH6JW5qfaZ+mf5W0R4958Q8xPvCkjnnlhctRJXV fDDfS1mNbPc2LRpHCJ/i0wQLB5FxT/IF76zeYd33CTgp+F7g7BC2Zpw133muwMtZnrFmnOCvgmzn O4KXEutRs2oDXvhfuRhyTKMF2SdFklR3+QKgFEhT92vkCo0yNV8Z/oHcouyoplr2SsaJfilZd+m7 hPmlzzwnH9DQq7V1j+IuJp5xcbY1HP+w9kEYwfeMR17GXLlo6xvr+7oALZ9gNfCDWN+LYRej70Sv vwFOf9kQRoWVKSzVA6YCK0f+m7p7YXtsO+V7rHIaPuPL5VZH6mOaZ2hVcycrhu8+7m+SnRl+c1rb xpvb1t2dv8c2oTH644EGxyzVF8OvTYv5xlp0YATSx6Psg4yMjdcaC17mD4lAQH6afJB8oX+ZdqAS GRI9ZiJeF+cZN6S0YeP1gqMOOjyndmtf3tYAv++C/fpf7sx8JH8uo13E+OfyC7Lq0Kq6sGN+dZqV 340e+FnlwcozlcDp+rfyXQV9TH1MG69XXYyWZrx2A7sKBqpPfBScfK7yxqVOl06XDzZe37/u7kjk 1tkfoy/LuCUoEnSltnLy54qA6d/LRunpZZKxr/vKQijqc8Utk8J3tItbdQv426qhXFQgEXg1ndfn r2mNBy/0niuOB29e+bJgV4GTKNJNovyyrf5dNafUMvdh5YiV+uUjKqNLG/oc0+vX6l2Xp4OG5S5q f/UXaoP6WkLotYIjQOEbWqXwLziyq8BSNkC29g5QBG683+YSJ5v5brRHH/5T49LWG1PjlvxtTpLV A8PLKqtwx2V/9QHn963HEtdLSmYWe5Q8lBExolWCszYRDe81zHkK85xfu3zDmpcrozePXVb04yNn 05vNxMmWG070C38CZ/B89oabSuq6LOV1x9xlYjLxMEhUgZKFy8bJ7ZomFdislWimwIHQTpJmJQnx knyZ5iXJuqNZ+PM4ueaIxbSK6oe6nfnGsB335WG706vzj30Ztta0NXnMdkp4mDrfcisxvXrAngO3 qGcUaKMsBV/ovDnf6X6aO+f7Nh1YfthlfZFha/K+Mx7rN34VPRAsPfPEoPpyqcFh6ehrxx8G3QBH rp9wd71w/GFhqtwg+OvgTLdkxUhfi3sX1Etm3Drpvdbn75U/6XeX/1BKUXt2cneAytI9esNV4dWf K8sWbSZG/Iy6b3gYbdQaJa0jbvOurjeq9hiTMqMHXvxluSGr9r5R2GBcEXTR6PLpNbeG4Q3BQR+M +Pnh1cqchp0LBmfOWZAPDDn7G0417PtuVO5SY3IDQYG/zBsZOLhrQMN4av/l8nP3G0DDg0jjp/DL 3oufvbxM3aOAzZR9Ie16qyLnIt+Pc+IaP0iU6ibv2bFPUL3vgczOmG9546VLqEuby8uhjcu+F1AI daDApm/OyKUj9hSdKLpa1Hq/qKEI+Sx9UvKobZ3LbIsT0tvPT/m6gZLJcZf164e5FdGj1jG7oGKD zTfWxFSkEostnVE6b0uoS2Hh5n7u27YPqChViHPOoQ5wzMoOW5F9t3BHmQ/hs8l1hXW576Xx2Qrx zJgQFH23LHLXg/WFdtPOzZBvW0hUOFR47N05dKeU2Osp5xveMXgZ9JUxhqTjSE2MJPOk77lhlfuV NWLwsu8nZ9FOGwT3uOK7+fTWwOP2X8hQ0oFst7suu3iqKdhg1ycaOEVnRjSc3ho8Ldog00f3+3vZ VhkRfTHaI3rQWevsu8NuhmG1g5JXlKXM2jkXqJlACe+XJdVqpkBy8X6ZjsyweL8sf1/5IzwSz+k7 xi6J735uXXUGL+H8HvxxQD4crOL88l0v2lm7eJQbNJfsaktz+Tn2yM612QS90NozzIgozqm2EWXX TqGHDH0uQT3Zt57s9/teF/dPeV28aYH4qVHQ6+rHeF0ZV6HXdfu3Xle/35Du7reU5bRfMVSNPxj1 x77RP0tP+yV3Yfqk0T39EjpF2m+ku1+tpn3wwV5qfLIvAFMgy78BrkCEZxOIHxjFBqeUAzrGQ80Q Ne47mg0dqWICPRZCPZlvke4rzrf7VYvBNU12/evJPlUU5OP0xkscUk9CJzxaygt1R7VxCqSmqdEU J6CoiUTxbP6Ddg+ak0t5CII6MBsz+BLBxxZ1prhTj1qH2KNxXii/wurQYmtnDq+28coqnpPSHY3x QgwWfQkvNNITB2MEg0GCINXmtSlvwBFBsWDvTuh4PHyz5VFrmD0aI3wj4Hn38x7qDTpT6slkhI4i QNEhxuhwY0YJiAPpbWQSMOrADPpsfxRInVRFGTuo4VitzJtoQWSaAAS15OAEGovgbgidCd2gJgFq AZgL2aEO7EirosQCN8FwAaRwBEXAJsHloATCHfFWegrQ0xsuM8GMllc7sqsoR4EndJFocTDColso BFDdIdAeZrWTmMBO8KCdQkHpA+ogkDeRtY2lLQiQ1JlQAYHKUBTHULNBnzMG5aWCuc1kLkivonLE gvtdWG1j0WDOs1cwEQ7bO8IBGIZMQn5NogIULC5j18UJbWQc3c4evqFQPSh701E52P7ZqzwECGFS lHDjdSeKAtQkIIFpIwBFx7+l36gwJVVR/QRPXkNjH1DtnZdni2FT6qozlQIUtuw7lBFWIOCiBJfX 0+JQoKczyAVzq6gOoUAqABUoONzesPhOqs+zV6VgMKWBiem0XNh2uw0PY8rasgCkvSC1IBmYYHFt BcaOlRyA/1LdVgroGkIsKAIlMA6GYcANecEkI0mQDV1bZt8nnd75SYaVrQNxkmZyBgayW0htFeX0 8E2IBMDnMhJ2+P50lWM8Dlt2Wm8823Lok1C+Wvqhw0oGTeSj1jNBBGpJoHgMdH6wnnZSs6C+XFjK zNRuefzhm8V0zuYEGNojQRRQ08bNbCFhm1rNyOc/aGekKZzACBTD4Ijzq/xkoM9lnh+0ZjRThRiQ P3zTRJ55m/9bgyIYg4x0jJAZbeQCYNKyFUd5godGODSe5XkTCEJJ4LgggXVuif/a4MOY2AUDtC3k PADLQSsqgppQWhNUpDNr6qEIPttZTDiS3O5nS6tBG7rVSCizmp79ilYzATjT+5GzWkiKEgk+cRVg QGhW4w2lewtHAKOWrt0Wci5TwXRxMCD5JxUcQjfaLPj8UunOJgET6RaUx7ZeDICCxuo2JAzALmaJ /dYyBdCbh40eRXoQ0jAfnOXDIgH50gBAoayNSI9mHsV265nQUCodqoygd13ZfgO7TYcEzj2w3Re3 L8674yF+9moNgMMcbPQEhk6gh+ueD5tKZYK8ZIM70PJ2Mo8iY8E2XRvsB7AT3O+iGINoe14yBtH2 oBQHI2BRMDoneh0o43dCjvzx+tAdesBfpMaPjmEnGSWD8CDSMoadAlikcKEaHxjMRiAyy0BkXDAb M9kss0CNFwazEYfNMhD5JpiNPWyWma/GyWB2WdEsA5F3ZWwsYrNMnhrPkbGRis0yEDkgY+PDmGXm qfHnMjYSl1kGIv3lbNxjs0yuGo+S95KByJJeSGGOGv9CzkZBNstApEbeq+zZatxewUZMNstAJFrB xlw2y2Sp8cUKNuKyWQYihxQ9cy7MVOO1Cjb6mFkGIi5KNpayWSZDjc9WdtdP96QeAdtWKj1/wf83 i+tJhH3VTZ/MxgaqIs2gCrZePT3weQFfCEoZMAJ+12czA3FWCwlnxHCgo2CHstK2kzA7n3r6TEU4 23rZkFXTYZOTAG+CHjTvJIIsBOR2NqYDJBnm6cjkSZ+YWgLnVWZlqIVEsuCdfsydSXQzjmV6no7u UHOZDtXzbgu820zOgrjzDCiTB29K3t5cEvuCyTwdAWomc4qk87ZnBCJhGmMq7N5pbaTZHDbbKbAy YN/JgSWVgMCUNjKNjnJD34QUEA5pdPnj6ThdbaQzEzcIpvR7WxB9OjNe5HSSZ1pNdFeWdJLpV8G8 FjKJy8TLoc9N0uHg84CaaV5mrXREImoeE5xJCxxgxbWTMGO6+4WAyD/ob82DmaShYAFd3VpYPang ThIddEhHl8kO8pccLshiiWqzk/lRJwNqPiydCuqakk3rSaVoVYyM5B9taWFtgU2Y6wcCYVmHMzJ/ 5hk7J8NUfi8a/3DA+G9e9Eh0hvg1sil9+Zo/9EWPHZKNCFYYao4mxiBy20B8UyhLaiMY5H2IfNEL uZuOYOdD2RGKRRK8N+HPQtmI6CxSExSA24exNJtFeDvUuE8YG3GIRXwgMjGMjcduzgcic8LYiOzm VCMD8NVhbAx3FimEMp/3SnUYIud7IYU2m3BjGBs9kkVmwZJahvcs6V2Y6p3wnqkif0CxoHA2thMr E7ROiSvDWaqvYGUgEt4LmQyRcb0QDUQm9kLSIBLbC+HpECw+nI0tz2qfD2X0vWV2qvFl4Wz8S3O5 oMyuXjI+UGZPOBufkJX5Dpb9ajj7fFlkHUzV1StVGUTQiJ7IQYhweiFfQ8SiF/IdRKx7ITchIu6F PICIfS/kOUT69UJaIeLUC+GtV+LSXogtRNx7IRKIePZChkJkWC8kCCJ+vZBIiAzvhUyGyLu9EA1E gnshaRBR9kLmQyS8F1IIkXG9kHUQmdgLKYNI7FuEvrod6P+pv3VAX3FOT16/PfJkZ44G9d9x+Ath Iz48Hjr8DqzD/wN0+C/3dPjB29+36LUdXUXV3O8y7z1v/QE1YNIJzN6zItgLnb9BiQ8dAbpMBJ2H EKcr68PfhDITgP/Tlxx+Zp1R49fG91yN+L/pksPP19DCYRNYGviv95L/MzVJU+YEgxovifrjXeb/ 7EVbuBdauKOXhe2OGL0bDHioATJ4ntTmcQuyDzSYLAic6Th5AgQB0ioqQBAuSBDMN3Y0kU9e0zu1 HyIvf+k8PH9RCwl7JvXlakEnH38s1w/29/fPlll8AQQ1+86mHUP3WOPYQn7dAgvbZ68gd5uVE1iP wx6yjD4E7HCmnpxf0o5iTaRkP+SsluLvRMJBdvbUxHpyb8Yme6S2UTNLsAj0qzeta0fHN5H6sXDs uQ5G15MUTxSIr4Oj0CutkC8MqSfvHr2H5m7XCTn0sZQB9SaqXIlb+kA/72U9dJ3cfEWecFpeXSLs 31f8hbNLPdl6fYfwYInQ0cYDsskhejXuAYnHkI3iuEH15KY7wl0pwll9xV0/C0HkN2pcMAYy8l31 5PVDzuBul5XotBo/Bjn5th+bINH2cxY5S+Ib4DAabw95q6yr3gTbazJsr82eg6ShM0WwziuQqMiB Wpf/4NP//9d/+SL+Ie7qvxePNAjOqP9u/NUIOt1/PWToP1z/rv7/3df/ZP1fw+ExB2E5Dz2vaADL kejfzqEHUjoOLz3B5AOW55QBVpaOpSqEn8OA5UN0nGmaC50FLG/6DrAcajTy52Kr9o51HKLLytBl aXNSdXRbY7mHtflIHPjDf52Ev/42g0o7M9nLF0ykJ8zQBenaualJkiRdenpyUo4uy6wvPDc9iVYh 8ZZk5yZm6XJzUtPpZSn6XogufUYqfVObJklNn6dLMhtDl2nsr98lfYRsOZx66M0224z0wKO02TnJ WdlvuWd+j/IP/p26x8x1373hQz8LtWpsqHrC2InjlYpJYYwEzUDV8TSsmDA5LHaiYnLYREVU2KRf 61wBft0w6lnn3df/AjdN99MAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAA ------=_NextPart_01CEBF8A.2314F090 Content-Location: file:///C:/465B2E2E/BASIC_ACTION_files/filelist.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml; charset="utf-8" ------=_NextPart_01CEBF8A.2314F090--