MIME-Version: 1.0 Content-Type: multipart/related; boundary="----=_NextPart_01CEBF8E.3A42A330" 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_01CEBF8E.3A42A330 Content-Location: file:///C:/0E5B2E2E/FAST_PACKET_INJECTION.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="windows-1252" Fast Packet Injection

FAST PACKET = INJECTION

Overview

The Fast Packet Injection scenario will clone the pack= et and inject it back to the same layer.  = No modification is performed on the packet.

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.

This scenario is meant to display the performance impa= ct of injection.  There is no guarantee t= hat the injection will succeed for certain packets (loopback, IPsec, etc.).  All injection is performed synchronously (inline) from within the ClassifyFastPacketInjection().  Memory is only allocated in the case of outbound transport.

CompleteFastPacketInjection() will indicate the final status of the packet’s injection.  This function will also free any alloca= ted memory.

The following diagram shows how the code flows for this callout:

=
Figure A. Code flow for Fast Packet Injection Scenario

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_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_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+)

Command Line Usage

Option

Argument

Meaning

-s

FAST_PACKET_INJECTION

Implement the FAST_PACKET_INJECTION scenario

-l

Applicable Layer

Layer at which this filter will apply

-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

 

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

WFPSampler.E= xe -s FAST_PACKET_INJECTION -l FWPM_LAYER_INBOUND_IPPACKET_V4 -v“ adds a dynamic filter (-v) at FWPM_LAYER_INBOUND_IPPACKET_V4 (-l) which references the appropriate callout.  This filter will have no conditions, me= aning it will act on all traffic seen at this layer.

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

WFPSampler.E= xe -s FAST_PACKET_INJECTION -l FWPM_LAYER_INBOUND_IPPACKET_V4 -ipla 1.0.0.1 -ipra 1.0.0.254= “ adds a persistent filter at FWPM_LAYER_INBOUND_IPPACKET_V4 (-l) which references the appropriate callout.  This filter will have 2 conditions; FWPM_CONDITION_IP_LOCAL_ADDRESS (-= ipla) equals 1.0.0.1, and FWPM_CONDITION_IP_REMOTE_ADDRESS (= -ipra) equals 1.0.0.254.

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 Conditions for Command Line.

------=_NextPart_01CEBF8E.3A42A330 Content-Location: file:///C:/0E5B2E2E/FAST_PACKET_INJECTION_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_01CEBF8E.3A42A330 Content-Location: file:///C:/0E5B2E2E/FAST_PACKET_INJECTION_files/colorschememapping.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml ------=_NextPart_01CEBF8E.3A42A330 Content-Location: file:///C:/0E5B2E2E/FAST_PACKET_INJECTION_files/image001.emz Content-Transfer-Encoding: base64 Content-Type: image/x-emz H4sIAAAAAAAEC7VWW2yURRQ+/7+lrE2RVUrTldtWQArtw5oQUh9oZ1kvQUuCKOUBL+XWWLZIA4So Tz/QGBJvTVoxiqVrGom2mjRq4gPGrOKDD2CLRDBBTLEJwaBJvUR9gfX7zuxstwS0ljq73/+dOXNm 5syZ8/8znoi0Ah5QCqR8kUrAlZqHRH6sEYndt+Z+WkUiIuvRWOQMcpyeJtIeEqnBQJ9e0zbcWSTx i75gAMFQEgMwXLVnPJkLOQL4kcw5+tCUA22fAh4DaBs3vtrZeYP6BaZI/UWzzDfT8vI8I1IGXRjg MhbgUWIk4+YRyWY5TwhenJCsV5mz3QwuBdi2KAeRYCXEXBmTOe4SoAKgPUvWkiwGu3GcDF+CRujj AEKEmUUGAfqGsFHvx2W0crSUoCy+6zsdfZ0M06DAtwTquRLkZfrG2HUBBwHGLmzEN5CXA4wzSL7i A6XkbG8d+xSCemcHMRs2Xoh9q3J6+iyGa1ngDypiGk/WxfO8faHbZs42yBWYFQEsi3LAEm4Y0ydh UwvQFzKLY0Za57XqcU8XH/ZzMmzzMecezQdOAcxtjnNtvFl3fScTc8aG+04fGP/3MGkaYPyXGbv+ CuhFMquU8nLMzFhRnwgbv7gwxtK/rI4m9J0FPklSEtIgq2WVrMNTZIXxg3thUGuNNK8pzlHbVtkk u/FrkWZ5Fj6xtkfWgrdISrZBXi1Py3ZIWyC3yE7UJBmqk/JYnbz+uOXPD1j+4X3l4KdBW//zF2Wz N1RPe/NHRDmoXqycydRaHlqjLGeesPX0DuVY9X7LH76oHKRfVR4+36NsDvcpp+UDywMfKzctPK4s h7609UdOK2fMd8qxoyPKwcglyxt/V0Yy1CMouVIo3w6de1+5P5RZygHK1K0D2hBY7u1oNuteddRE PqESZToyPYnYtiKSm2UXnpMrlzHeWnT9VjIPcoRzr3QPP5eiZEtwaSXTV7qKVymHc/pIjuWqbU8f sBw/aVOo/I398/9CEnVcsXrH6S/uSbLr8/1nE2QXG+YbS0SfY/0yfpW+0heO/PamyzXm29KX2vmK ae6Rh87YeZ1/339j685/9mGJ6FNkz5B4W/fqZzv/DjO0jwKjwEyA+3Ec4EScu6/vaOLlkXcSbON4 RANQWLBdWtqhTGJ3/vs7sUmd4qK5luIcWOcGUMdYFbbdco3etbEP29xY7MfxnB5ifu0zsBX8jnQA 7QC/I9VmLD+n4pu+CONWAPzWaxpj/EHp8bq8Ho/f8Zv5hvOcqwVYHE/kG85+7juM+AYbUKefJ4Fu bPoh4C2A/uK8jJroaNTZI56Bk9E8obOyCobMK87LeDN/DGDPTS9UAzkGMEbcJzZ2eofx6/E6vV7g MGO1r8x4QQTNaoMz040LVyd09i2BXQVA+8Li1kP9LIC+Unb6MNbZiDr97EQDvFH0gulLPDqA32g0 Ho3fQdn1Y6yuNx66TChujJWLDWNVYsbuWOl4m55F3V7KO4HT52Zj0RZPY7axNV9v/XG0Mz9SQAuS 4xR4GnRD0YHyoWhkXsddBOWB8sIYOBmmE153F4wPAjZHxDeQlwPMEdCU3K26vVNei0+kPMaR9am4 WzHPa+kkiuPJvJfMuTjAfGth3BHz0/mYj4834+/iPBXv6DOYpxVg/JeZG9+tKi8MJnc90J/853vS TtkhbTgZeCPaNtF7UtH6lXpPem2mvQ9tSNn7UfkxyxcuWf3ZK8qmuczeQ+5eqJzpt/cjSTRY/cOb lE3jLuWgA+cw71WXX7C8+5Byusnej+TIu1pv2viRciZzzHLbZ8rByAnlWOPXtj7rvPKwXFQ2zT8r p3t/tTznqjJegpu4J7k9Rirkz+23sU8bAL6TzBP88+c225qBfz+3J7VHeibzvMVZOu7cLUY9DCAX /7dzey7GjgDM0cJzuwG6rQBjVApshxADXJ1xmg0slT60unKjXXHt4/lOVDk2Lz78Thf64hvbBrXc CpRRQIkAlP8GnyqBLhAQAAA= ------=_NextPart_01CEBF8E.3A42A330 Content-Location: file:///C:/0E5B2E2E/FAST_PACKET_INJECTION_files/image002.png Content-Transfer-Encoding: base64 Content-Type: image/png iVBORw0KGgoAAAANSUhEUgAAA5wAAAIhCAYAAAAikbXOAAAAAXNSR0ICQMB9xQAAAAlwSFlzAAAO xAAADsQBlSsOGwAAABl0RVh0U29mdHdhcmUATWljcm9zb2Z0IE9mZmljZX/tNXEAAByOSURBVHja 7d3Pj13nWcDx8dgKRbgosYKikGJHkNQuElLsEhR5ItUMlhUs4cZSRyPXDRl5MVJdMiqrCU0lyG6g 9B+AglinpGxZIPEjbKHLQtmXPyBSJSDxcB7rPNbjt++5c+25Y4/tz+IjZ+bee857zh1P7tfve+5d ev/995cAAABg0ZwEAAAABCcAAACCEwAAAMHpJAAAACA4AQAAEJwAAAAITgAAABCcAAAACE4AAAAE JwAAAAhOAAAABCcAAACCEwAAAAQnAAAAT3Bw7uzsHL98+fI3NjY2LjzIg4r9Xr169Wux7/jvJ+XJ jPP8pB0zAADwmAfn9vb28xl4165du5LBs7m5+cWlpaXdM2fO/OBBRtbJkyc/iv2GuG2vbcSY435V fO8gx5vivMX5W8S24zzHMcd5X9R4b968+fl7/UeDgw7fHFP86S8xAAA8xsEZYZZxV0VEPYjgbCMr 95mxOU849sa/3zHn7G67/96+wiICd7/Bmf9oUL8XX9/r+Vhk+Ga81ijPMc3zjwkAAMAjGpwRAzXQ IgBWVla+k7HxMGY4c0z3ss88hhj7omY4p4693VfGWXjYwdkbx/0E5yJnOHvHZIYTAACegODMpatn z579Xv1+hMDUDGfcljNpvWiIx/Ruq9dl1mW7uRw295eBcuLEiR/H93N77bbqMtEMrV6oxX3rMti6 76lxxVgyvOs4evuqM7K9c9Bbchv7yOOuS13bOMtx1+Oqx1LPSYZlOzPcBmeMJbeZ/92OMfdRtz+1 7Lp3ez4u7hfnrwZ6PT/t81WPrV0CXPfb7gcAADiEwZmBMvXCvQ3OuF9vOWnGwerq6rfa2zJG2u9n fNTIqtFUl6q20RvBEd+L/dXjqDOcGTMR0+02I7RnjatGZDvedl8ZVPFnHVtvifLUPvM46rmoY8jn p86mpthfHVe7pLgNztxuvU42ZUTmfvKY60x4iuNtZ6Xbn4neeOuYcvuxnd546nOe+2zvs8jrXQEA gAUFZ7zI32spaBuc8XW86I9AilhoZ0gzMCKqchavbiciLcM1Q6GNrHaGs44zoy33m1/3Aq8GbYwv vq5BnGPojWueGc5WRmGelwzfNgwzgHO7Mb48v3ns9braOltYH1ePJWd855nhrCEb36vbyce0wdnO Uub5b4M/l2XnGKdmONvgbM91b0w1dGvo53MHAAAcouCsL+LnneEMEWO5HDRDIW+voRC39Wb1Ilbq 9ZXtMtLeNYe53Vx6W2cp63H0ZjjzOPL7GSoZllPjmvcazt7y0rrsuI23Np5zX/VctJFaQzXjuT2W uu06llkznL3z2wZnndXO/dbnPW/PGd78x4x2VrY+H21w9s5JO6Z2FvZ+rvUFAAAeYHBOzRJNXcOZ L/IzetrgzPvUZaw1OnszU/MEZ4Zhzm61MTZreWXOxk1F2tS49grOqaWcGUo5CzxPcOaS5HrfqWWu NThT3udegrMeVxuAdRztuwZXMe68vQ3O3gz2IoJzr38QAAAADklw1rCZ511q2+jJmMvbY7Yvo6Fu JwI2oyrjsd3mrOCs92tDbFYEtrGUY5pnXO1j53mDonp7BFPIkM1wmmdJbWw7gyuXK+e1ofm43rvx 1tnXDPL9Bme73brvdklzu6S2biuX7/b2156TOlM+NXsrOAEA4JAHZw3DeT6Hc+ozO/P23m35rqLz vGnQrOCs+27fVXdWBPbeaCbvO2tc7fG08TUVnFPnMx/fe+Ol3psGxXnLseey3b3eWKfOLO/1pkH3 EpxTz3ueg97tGejtOe7tb+rNqOrMu+AEAIBHMDjzBX/vIy9yuWl7bWP9KI16+9R22o8mqdeM1o9F yW30PhajRkd7W+6z97mR9WM0cglo7m/WuOrx1/HN2ld7TPFnHk8N1PoRIvVYps5FPf91vO1t9Vhz f+35nPWcttdd1vvUMbfnpO6ndx7r+aj7q+ekflRMbxv5/fa56f2cAAAAhyg4HwX1DX488QenLrP2 kSMAACA4n6gQ8jEYB/wDNXGdLAAAIDgfW7nccuojXFiMXDZbl8sCAACCEwAAABYfnNvb209fuHDh T4C9Xbx48d2dnZ3P+CUCAABzBOftF9JLS7t/DOzpN44e/Z+rV69u+CUCAABzBme8kN4F9vTVp576 WHACAIDgBMEJAACCEwQnAAAIThCcghMAAAQnCE4AABCcIDgBAEBwguD0SwQAAAQnCE4AABCcIDgB AEBwguAEAAAEJwhOAAAQnCA4AQBAcILgBAAABCcITgAAEJwgOAEAQHCC4AQAAAQnCE4AABCcIDgB AEBwguAEAAAEJwhOAAAQnCA4AQBAcILgBAAABCcITgAAEJwgOAEAQHCC4AQAAAQnCE4AABCcIDgB AEBwguAEAAAEJwhOAAAQnCA4AQBAcILgBAAABCcITgAAEJwgOAEAQHCC4AQAAMEpOEFwAgCA4ATB CQAAghMEJwAACE7BCYITAAAEJwhOAAAQnCA4AQBAcApOEJwAACA4QXACAIDgBMEJAACCU3CC4AQA AMEJghMAAAQnCE4AABCcQgIEJwAACE4QnAAAIDhBcAIAgOAEBCcAAAhOEJwAACA4QXACAIDgBAQn AAAIThCcAAAgOEFwAgCA4AQEJwAACE4QnAAAIDhBcAIAgOAEBCcAAAhOEJwAACA4QXACAIDgBAQn AAAIThCcAAAgOEFwAgCA4AQEJwAACE4QnAAAIDhBcAIAgOAEBCcAAAhOEJwAACA4QXACAIDgBAQn AAAIThCcAAAgOEFwAgCA4AQEJwAACE4QnAAAIDhBcAIAgOAEBCcAAAhOEJwAACA4QXACAIDgBAQn AAAIThCcAAAgOEFwAgCA4AQEJwAACE4QnAAAIDhBcAIAgOAEwSk4AQBAcILgBAAAwQmCEwAABCcI TsEJAACCEwQnAAAIThCcAAAgOEFw+iUCAACCEwQnAAAIThCcAAAgOEFwAgAAghMEJwAACE4QnAAA IDhBcAIAAIITBCcAAAhOEJwAACA4QXACAACCEwQnAAAIThCcAAAgOEFwAgAAghMEJwAACE4QnAAA IDhBcAIAAIITBCcAAAhOEJwAACA4QXACAACCEwQnAAAIThCcAAAgOEFwAgAAghMEJwAACE4QnAAA IDhBcAIAAIITBCcAAAhOEJwAACA4QXACAIDgFJwgOAEAQHCC4AQAAMEJghMAAASn4ATBCQAAghME JwAACE4QnAAAIDgFJwhOAAAQnCA4AQBAcILgBAAAwSk4QXACAIDgBMEJAACCEwQnAAAITiEBghMA AAQnCE4AABCcIDgBAEBwigkQnAAAIDhBcAIAgOAEwQkAAIITEJwAACA4QXACAIDgBMEJAACCExCc AAAgOEFwAgCA4ATBCQAAghMQnAAAIDhBcAIAgOAEwQkAAIITEJwAACA4QXACAIDgBMEJAACCExCc AAAgOEFwAgCA4ATBCQAAghMQnAAAIDhBcAIAgOAEwQkAAIITEJwAACA4QXACAIDgBMEJAACCExCc AAAgOEFwAgCA4ATBCQAAghMQnAAAIDhBcAIAgOAEwQkAAIITEJwAACA4QXACAIDgBMEJAACCExCc AAAgOEFwAgCA4ATBCQAAghMEp+AEAADBCYITAAAEJwhOAAAQnCA4BScAAAhOEJwAACA4QXACAIDg BMHplwgAAAhOEJwAACA4QXACAIDgBMHpFwkAAAhOEJwAACA4QXACAIDgBMEJAAAIThCcAAAgOEFw AgCA4ATBCQAACE4QnAAAIDhBcAIAgOAEwQkAAAhOEJwAACA4QXACAIDgBMEJAAAIThCcAAAgOEFw AgCA4ATBCQAACE4QnAAAIDhBcAIAgOAEwQkAAAhOEJwAACA4QXACAIDgBMEJAAAIThCcAAAgOEFw AgCA4ATBCQAAglNwguAEAADBCYITAAAEJwhOAAAQnIITBCcAAAhOEJwAACA4QXACAIDgFJwgOAEA QHCC4AQAAMEJghMAAASn4ATBCQAAghMEJwAACE4QnAAAIDgFJwhOAAAQnCA4AQBAcILgBAAAwSkm QHACAIDgBMEJAACCEwQnAAAITkBwAgCA4ATBCQAAghMEJwAACE5AcAIAgOAEwQkAAIITBCcAAAhO QHACAIDgBMEJAACCEwQnAAAITkBwAgCA4ATBCQAAghMEJwAACE5AcAIAgOAEwQkAAIITBCcAAAhO QHACAIDgBMEJAACCEwQnAAAITkBwAgCA4ATBCQAAghMEJwAACE5AcAIAgOAEwQkAAIITBCcAAAhO QHACAIDgBMEJAACCEwQnAAAITkBwAgCA4ATBCQAAghMEJwAACE5AcAIAgOAEwQkAAIITBCcAAAhO EJyCEwAABCcITgAAEJwgOAEAQHCC4BScAAAgOEFwAgCA4ATBCQAAghMEp+AEAADBCYITAAAEJwhO AAAQnCA4/RIBAADBCYITAAAEJwhOAAAQnCA4AQAAwQmCEwAABCcITgAAEJwgOAEAAMEJghMAAAQn CE4AABCcIDgBAADBCYITAAAEJwhOAAAQnCA4AQAAwQmCEwAABCcITgAAEJwgOAEAAMEJghMAAAQn CE4AABCcIDgBAADBCYITAAAEJwhOAAAQnCA4AQAAwQmCEwAABCcITgAAEJwgOAEAAMEJghMAAAQn CE4AABCcIDgBAEBwCk4QnAAAIDhBcAIAgOAEwQkAAIJTcILgBAAAwQmCEwAABCcITgAAEJyCEwQn AAAIThCcAAAgOEFwAgCA4BScIDgBAEBwguAEAADBCYITAAAEp5AAwQkAAIITBCcAAAhOEJwAACA4 AcEJAACCEwQnAAAIThCcAAAgOAHBCQAAghMEJwAACE4QnMCjaGdn5/jm5uYX40/nw/kCQHCC4IRH XATLYYmWy5cv31xaWrr1xhtv/MHw55GD2s/29vbzedzVQUZhtahjG8/Xp8P5emeR52sY47mbN29+ ft5tjsd4bjivnz3An9PY/vP+zgIIThCc8Ai4du3a70XcDXbT6urqewcZegcRnBFwEUf3sp+VlZU/ a499tLyf8cc42qCc2tf6+vqb+z3X+w3ODO/6jw0RdsO2PhnHefQ+xrGvc1ji9fl2TKdPn/67eccE IDgBwQmHIDZPnDjx4zNnzvygRNHywxrXvQbnGHefjiEy97iH4/3b2E8ee9rvsfdCrd1X/JnRubW1 9cLDDM4c21tvvfVb+fj7Cc4bN258KbY1bGd1ARH99TZeIz5j++PPxbK/wwCCEwQnHOb/KQ0v6CMo zp8//+cZCDGztLq6+kc1GOpy0HbJbZ1ZzJm99nHtEsj6vfYxs4IzZ+LqTGbsY/j9cD2O5eTJk/86 RM9v9vbXG3uG1qywzcf2Zk974xlD7fZ5Hcbyat5W9nUnCjPo4n75vTwfU0tue+e0Dc68TzvmGFt7 HuI+w3n75xjblStXfj/OX2yjF5x1ie0QyS+3Y+zNSrbnqXdMeXsuxY2vX3/99T+NYxp+Nr87Pqef ze33tpPH1u67jrPdD4DgBAQnHJCcFYygGP77F6fuN8bnXUtBa6CNofdRyNtj9m68z63eMt2Mw2ZG NcZxphecERpnz579y3rfeHzMDNbjaMcXM27tbRFVOY6MwAjuiJoaab3Hxj7zXLXnZRjfX8WsW4m0 23LWtd1XRmIed8RQu796Tnr7HP+hYLkNzgzI4f7f3us85Lia/R7tBWd8PfG8fa6Gbx5zPG/nzp37 i97zloHa7n9tbe3qsJ1vtOON2dfxub5rSe04S3/XOX/llVf+Op+nYfvfj+0Pr7u+feTIkTvbvH79 +u88zGXjAIITBCc81jY2Ni7EC/HxxXv3hXeGX4ZTjcqYlct4bOLqVg3PunQ0l0FOPWaMtiNtcLbj yG3G/YdAPD2M61/q7evr61+OWazcTxtJGXG92MpYyn3G1/Wxec1lRE6MI87DED1Xxki6K+DisRna E2F3Z3Y5Z0bbsWZU1miM+5TzerQG58rKyncybDP6Msg65+ELY8S252l5Kjh7z9sYtsttcOay2PK8 /Wc8JuP84sWL79bb83zH8zfc9z/i62eeeea/4nvxnLXBWcfYHlsuxc3gzPs0/+06UEBwAoITDkLO DI7h0r0ebnzRfycuQ775TcZgnaWL23MWLqIil0HmfXJmq51ZbWYpl9vgzHFE7MV9x1i+c//eNZzj zNft7+XsZc6S5nZ713BmIMaMY4w9l7i2j83QyRnLGu3zXMM5bO97EVZ1KXPsM5d9tvE2LjG9a0nu eJ8M8k8zqGach1ebY3mnnoe9ruHMryNU4351273gHI71R7HdmLUsz1tu81jenvsty6OP9K7hbN80 KM5JzFrW++SMZ94ng/PKlStv5/M6/Pl/OQa/CwDBCQhOOADjdXCftss2Q14H11ty28ZgDb/e7XU7 nVnR5YytWcFZZ8Hqm/tEtI2zgz8TnLmN9g2Bwttvv/3bNbR613BmTOXMWc4o5n3j/NV3ns1Zu72C c+qNfWJ7EdY53nE2+Va7JLe+IU8+Txl64xhu9Za5xnbb89eeh3mDs17TWeLuZ4Izw27iebtz+7Cd p9ufvXmCM2OyLo+duk89NsEJCE5AcMIDkDOH4+zhlyPchr9rXxujZXm8FvB2TMUsXi7DzfvvNzjj PrHPDLecbW23Ua5JfC9nK+sbxNQZ0nyjnpwFjW1GWPU+Z3NWcOb2IvBiW8N9P6z3zX1HLJfzeFeY 5YxsE7fd4MxrHeP2OMY8JxlvOXMcARxjimW84xjvWlKb1z/m43IpbpyHeFzvc0BzbLE0NiN0EcF5 6tSpf8rt9p63vH38+Xo1Hj+e56MZnDkzmzO/NSZjSW7McOY5idvzZ+W111777gcffLAsOAHBCQhO eEjqLGfvsyhrYDZvnvNR53rM+5nhvMvw9/yt3jWcvTe9qbONzQzpbhuqU5+zOSs4p665jPuOS2jv ut6yLk2u+21nKKeCs76JUO+a0nEp6CedYzk69aZB+cZAM87D7XCs11Lu9aZB9xKc4/P2SeccvjN1 e84Ut7f13jSoWR6727zZ0q+Mz6PgBAQnIDjhYYkX7TmzNF7D+K2tra1fzttzBjKXQ0YU1o+VyMfl i/nxsxg/rNcnxjWDcZ/cbg3QvK3eP5aztttox9E+Jvcb348gjO/lNYH5/fZzNvO4c1avPS+5v3gj nthXHVNzzt6r5yxCPo+rRvTUvnKseZ9Ychr3i/+u7+6by3hzTPGGSb3zFfeLwM1j3es8xO1xPWRu NwM3tpHLXzPC6+PiI0fK52IeaZb23lkGu9fzlucqjrVZvv31PB9x/W8eV9wvZi/zeYpgbp6LO59r Onx9+7ZYNl5mdL8/Hpc3DQIEJyA44bH7n2EzK8qjL+KzLgv23AIIThCcgOBkIeoS5HhXWp9xCSA4 QXACDytOPsx3mHU+Hg+5HHhcXusfEgAEJwhOAAAQnCA4BScAAAhOEJxwGLxx6fK7p174tX8/9cKv /hCY7fTLX/iHtbW1X/C7AxCcIDiBOQyx+W9feuGru1956V1gD8d/7umf3rhx4yXXFQOCEwQnMGdw fuWl7d1vvvI3wB6eOf5LHwtOQHCC4PSLBAQnCE4AwQmCEwQnCE4AwQmCEwQnCE7BCQhOEJyA4ATB CSA4QXCC4ATBCSA4QXCC4ATBKTgBwQmCExCcIDgBBCcIThCcIDgBBCcIThCcIDj9/gAEJwhOQHCC 4AQQnCA4QXCC4AQQnCA4QXCC4AQQnCA4AcEJghNAcILgBMEJghNAcILgBMEJghNAcILgBAQnCE4A wQmCEwQnCE4AwQmCEwQnCE4AwQmCExCcIDgBBCcIThCcIDgBBCcIThCcIDgBBCcITkBwguAEEJwg OEFwguAEEJwgOEFwguAEEJwgOAHBCYITEJyCEwQnCE4QnACCEwQnCE4QnACCEwQnIDhBcAKCU3CC 4ATBCYITQHCC4ATBCYITQHCC4AQEJwhOQHAKThCcIDhBcAIIThCcIDhBcAIIThCcgOAEwQkITsEJ ghMEJwhOAMEJghMEJwhOAMEJghMQnCA4AcEpOEFwguAEwQkgOEFwguAEwQkgOEFwAoITBCcgOMUE CE4QnCA4AQQnCE4QnCA4AQQnCE4QnIITBCcgOAHBCYITBCeA4ATBCYITBCeA4ATBCY+j7e3tp3d2 dj4jOEFwAghOEJywUBsbGxeOHz/+k0uXLv3hEJ8/LzhBcAIIThCcsLDgHF4U3xrsDuH531PhKThB cAKCU0yA4IT7Ds7UC0/BCYITEJxiAuZw4dixnz777LM/evHFF/8RnnTPPffcD2tstuF5/fr1340X zYITBCcgOMUEzGH9qac+Pn/+/E7M7MCT7tKlS99sZzhDhOja2trVfMEsOEFwAoJTTIAltXBP2iW1 bWgmwQmCExCcYgIEJ9xXcE6FpuAEwQkITsEJghPuy9bW1pn19fU393phLDhBcAKCU0yA4IQDIThB cAKCU0yA4ATBCYITQHCC4ATBCYITQHCC4ATBKThBcAKCExCcIDhBcAIIThCcIDhBcAIIThCcIDgF JwhOQHACghMEJwhOAMEJghMEJwhOAMEJghMEp5gAwQkITkBwguAEwQkgOEFwguAEwQkgOEFwguAE BCcgOAHBCYITBCeA4ATBCYITBCeA4ATBCYITEJyA4AQEJwhOEJwAghMEJwhOEJwAghMEJwhOQHAC ghMQnCA4QXACCE4QnCA4QXACCE4QnCA4AcEJCE5AcILgBMEJIDhBcILgBMEJIDhBcILgBAQnIDgB wQmCEwQngOAEwQmCEwQngOAEwQmCExCcgOAEBCcIThCcAIITBCcIThCcAIITBCcITkBwAoITEJwg OEFwAghOEJwgOEFwAghOEJwgOAHBCQhOQHCC4ATBCSA4QXCC4ATBCSA4QXCC4AQEJyA4QXAKThCc IDgBBCcIThCcIDgBBCcIThCcgOAEBCcITsEJghMEJ4DgBMEJghMEJ4DgBMEJghMQnIDgBMEpOEFw guAEEJwgOEFwguAEEJwgOOGxdPrlX//74cXzrcEuMNuxo8f+d3Nz83N+dwCCEwQnAAAgOEFwAgCA 4ATBCQAAghMEJwAAIDhBcAIAgOAEwQkAAIITBCcAACA4QXACAIDgBMEJAACCEwQnAAAgOEFwAgCA 4ATBCQAAghMEJwAAIDhBcAIAgOAEwQkAAIITBCcAACA4QXACAIDgBMEJAACCEwQnAAAgOEFwAgCA 4ATBCQAAghMEJwAACE7BCYITAAAEJwhOAAAQnCA4AQBAcApOEJwAACA4QXACAIDgBMEJAACCU3CC 4AQAAMEJghMAAAQnCE4AABCcghMEJwAACE4QnAAAIDhBcAIAgOAUEiA4AQBAcILgBAAAwQmCEwAA BKeYAMEJAACCEwQnAAAIThCcAAAgOAHBCQAAghMEJwAACE4QnAAAIDgBwQkAAIITBCcAAAhOEJwA ACA4AcEJAACCEwQnAAAIThCcAAAgOAHBCQAAghMEJwAACE4QnAAAIDgBwQkAAIITBCcAAAhOEJwA ACA4AcEJAACCEwQnAAAIThCcAAAgOAHBCQAAghMEJwAACE4QnAAAIDgBwQkAAIITBCcAAAhOEJwA ACA4AcEJAACCEwQnAAAIThCcAAAgOAHBCQAAghMEJwAACE4QnAAAIDgBwQkAAIITBCcAAAhOEJwA ACA4QXAKTgAAEJwgOAEAQHCC4AQAAMEJglNwAgDAfMEZL56XhhfSwHzW19ff9EsEAADmCE4AAAAQ nAAAABx6/w88/2BLTSaXCAAAAABJRU5ErkJggk== ------=_NextPart_01CEBF8E.3A42A330 Content-Location: file:///C:/0E5B2E2E/FAST_PACKET_INJECTION_files/oledata.mso Content-Transfer-Encoding: base64 Content-Type: application/x-mso 0M8R4KGxGuEAAAAAAAAAAAAAAAAAAAAAPgADAP7/CQAGAAAAAAAAAAAAAAABAAAAAQAAAAAAAAAA EAAA/v///wAAAAD+////AAAAAAAAAAD///////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// ///////////////////////////////////////////////////////////////////////////9 /////v///wMAAAAEAAAABQAAAAYAAAAHAAAACAAAAAkAAAAKAAAACwAAAAwAAAANAAAADgAAAA8A AAAQAAAAEQAAABIAAAATAAAAFAAAABUAAAAWAAAAFwAAABgAAAAZAAAAGgAAABsAAAAcAAAAHQAA AB4AAAAfAAAAIAAAACEAAAAiAAAA/v////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////////////////1IA bwBvAHQAIABFAG4AdAByAHkAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAWAAUA//////////8BAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABDTr+bIv84B /v///wAAAAAAAAAAXwAxADQANAAyADIAMwA3ADIANQAyAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAABgAAgH///////////////8AAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAACAAAApEEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAP///////////////wAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA//////// ////////AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAGIA AHic7Hp5WBNX3/Y5M5ONLXtAQRMIIFaUsClaNQlIEZUSkLi1CgmyKRAEUuvW4MLigiyK1VYLKlql rdRabG3V0NrFp1rBVq1dFBRl1TIJu0DmOwF8nn59r+t52vf9672u9+jNzJxZzjlzzu933/dAfR23 8ejZ8Q/An8pcgAMLxQL0P9TBMYwUDgDY2LGFoqjn1dT/lf9VZRiBGJvDaWNb65wzEJgILAQbBFsE OwR7BAcE9ugSAFwEHgIfQYAgRBAhOCI4IYxDGI/gjOCCMAFhIoIYQYLgiuCGIEVwR/BA8ESYhOCF MBnhBYQpCN4IU8f66DO2/b/yPyvRQIf+ZaO5CAXpaJsJNvw5FfzbIgK0f8a8NR8IxmMj9bWjp1/6 47Uc7QfNV403IG49TzzPKZEgFST8rTb/WGwABv84nr96nwA8bz8EjT8NZKB+aMGav90+D7VvzYHW 4fzV9q3XZ43t42PthqO3n4h68t9p/++O3/r+n+d1y9i8WbfP8ef4t9b9p/j/v1j831nQWsSYf3vV /atANPO4zeja/3PsW/N/REp8pi5Ll5gtWZKSlaKTzMvUrE9JTxpZM6M1vr7TZJLFyZqMhKyR1TRS O23summ+vqB75kfr/u1qhv/m7H8qFsoau9j/6H469l/vt/apMbfcPBCZzHmvhAmmTDr3swzVkWCU T63nl4FRDRUHRmMyFYzmkdcRaAjFYDROD4PReDwFRmPyYzAac9fBaDw+GnvOI2KUW8dS63/Z5yDM 02dlb5DM12RmJGRa65eAFJSLUlDmmYcQD/QoFyaMMMFfKy6o5ef5xLoG/so91rG9rBrd/1f7zzNg JuqBBrVvrUv/j89yQ+3/cT3/lfYJMKpFRvuyeGTM1jat3Pd3e+GF8q91PNb5+Tvjl8Dn+39+73+v P0H/jfFb11/Q2JIdjUGvmIjJz0PT3mb0jO3oHO2AI1x5t3Q/3vQyAGtRv6NHzn87TKFBZ8R/NrLE mr74/48VY219WC61Lg+w7tcHI+efHycnbLW+BvD0YLsJ92gzo65vB1SvmeoaJBmw3wR25rSbRESO CCmTcSCHArW1taC5uZkC33//PTh37lwneOutt1xBDkikEhNBREQE8Df6+4Px48cPmw9Q1XXAeOMB ejOzZ6M+1aK5KRlEjaMBDT5Zw8Kp2SBDJq4ARaHfDpid/sIr+yvXqMd3kJSZtOsgXVq7Kp51M9gd ZK+puWdBSzcxq4Oc10FCEBMIW7tyzKZw9itss6lx0Bc29yS3t3SjS2M6SAzE5Dp1kLMbhvbD/egM PHMITRM+jaB1kPSqDpLRQTI7SFYHaYMObMcT9h2kQ0v3vo1N/T5XMTWE8Ev4RgvEgBZl5XG8HigW YWIRrgXghKXdlFtLtJsO2fFlU9XLebnyy7iiuedbSMPm8zmHsGUiN+FczlTHzE08PEnkxie0mKtA TSsR0UtEjBIRs4bruYnHcj0pajflfYWeA/ErgM3V0cP5TPc4vstke1XjICkXiYtdZjhWC+ZLhJd5 m3j0FsdNPEa+dxQz37vZaRzPZounrdhzwTt8u5ve9r6e7/AdWgS2pFzBy79KPBGyOWKfoCnycH5A QKNcEiUzkyGdSlv2ZzYbBTe94U1vGnbTG785Kc3H4LFoerF7gXr6HWGpkFUi+sarxbkC28JstOMn yb/AxwlKhcXjQKkweXKp8LK43nlA/o3bOJ7atkRkVyKyLxE5lIjU7BIRp0TELRHxSkQe/DnCyno0 KH9M+nDAfliHsYhZi2dL585qgrEYijrLK9FQo1ZjGjWuURMaNQ39p2vUDI2qPPLsy3ciW+e93AEx Ttx73FeiuehCnkbN16gFGrUQHYg0akeN2qlCPa5E5DNeyyLuL3Z+HL2J5+ECX9xxC7XK9Y0MF+Lg +F3Cg8bmzIqqSEl7MbohGjxGP+BXSdhXSSz8cXS76d3fiLTkWVEX1/zQbvqkEd3YZ8eXSJySRFMM SSImc45hhSF40laJq8iQ8Y7/CcfyCZt4xKzSzbQTLnQtc99LP2bEHJWWbmaVbrYp3Wx7whE95dIj 9JSzmSmknF3AL+DPjNTNHue41z+mRdAQiGXvwfO9iXxvJS3fO8/npPMp1IXLrYRNuynKToClJKiL XJzPc4LTVsI31LP3F0a1m4zjmZDwis0sny98JTYt1hBbEguOx56NvBL5dWxL5ECk7XI0C4ISkbBE JJojrCUJbbvpmebgFZgkqJXv/uBE/eEzd8+cKT2VtZz3GPxwMru8u3pb+f7yk+Wfln9XnvNb+e/l 4KhEaFc9sXITj7P/i5Pv8LkfXuQdQVt+dP1FQTXaEZIXRR9ejHD88KKT5McT7/DHyb6Nmb26VOhc InIpEU0oESVMnCO82s10frFevq8OnPjmpVcUrlcAn1OScAW+MQv8VLMv8Kea4wjnrNtcCVN2ZhdT tnueRMgQc3kfqZlONSynGhunGtulNXqOWMQVi3hahpwPU2qJK/CZ6TCRwzLSdiR+19K9v6k/RvNm DoMz6aMc4dcPz8BAo+yehcXMoe9IHCcglkamRG4KmdKgKAwtkXbfebkhrmH8OTunGqG9U42DUw3b 6cOqc6LmmAsff+LtXyIKKBEFbvEMn27f7MafGaxpN635ivA60lDd0DBU1tQfpHkzQH7gQK+r/2lz l7BF1AzBzBi7lofVzVSWPFf+pvx0UMGp3veyHz+hPW558f5vambO4+jVRodFL5C/Tt3zSa9mbTEn IIRSU+OeFExoXZcCVS/PL0s4dDODO++CNiaAC7rjsYwwMZbB910+YXzHgJDXq0leXtYX5/UDw/am S5vKS/kby1vID9w3oXXawI4d12uDfeBCz1VuU8/3anJ5W5On+m7vvpV7+avU1+SmKGxVQczDXk3e ZqewgR05H6R9EH+AMnkav13kzZ75IXCR1/m4tC2SP6V6KSZ7PBuclH86640FM3oONfzKfsrWP5M4 uuZRB6kqqvWO5RvKJRJMi+S8VRxcliDvCRBnRy4Tc9aIT83eLbzk6l44Y1lZ221wyfVwuLfwhrhR bBYTPiIf4OUzy2eRzyqfDJ+78v0+J33AwdUrI3WRjORh9biUisjtE4DcREmKAs0JCa/46oYj2bH1 rrH+r15w9Xt82He7n4vzt+sa4t6X39eRiX5NTr0+k3Xj5RggE2cEKDbTMMVmXLG+UT35gUxsiQXb I8siXxfvEsGSxw+KA/b5SlzaYAk89OW4yQ9oBl2Jrv64rkY3d2VpjF+VEwXqxV+vXTErO/ZFqGzG tNAxJ7Y0tjL2fOzV2GqfutycX3VP44aLbmcxDVKDtwHTY4+f4CvsULI24rTKR3enN26/vcEmJID0 TPS69LXskfPHsBYzehQYSsA1Wd3XgdV0o6DC4aT7x8LjqrKGUnml/Nr9THtHong7+P3W2ZrhBnan a6d/e+22/EeCs+eZ3H94FMTuzpp2mvERYObabav7IrlmpVZfY39sWw2YH1xUM2mb19bXYVN027o8 A9hWcdTwgcFouGm4GHkjsjGSMEcyeB5ziiKLNDu+1ckP/WNPZ8KJuj3QsKEctBFeawMNe+ZvZtyO 1TNu6/StjPq5avC1f2RMpHOrz8dbX1579Qp8s8gzEETdSa/OqS6trqzOF14+ya0h6irm7b/4S/WT M83f0I2T/CGj5Y5UtODsk1hHznVjQhNoW5f19GiDXBeli9fpdao6UluXXXcjb8MeByQhMsJO9xYx y8e/DbQO95eCiw8WdL7amd6Z01naaVs3oQ741CnrWjufddpREymOMIiSLKBepWbTXzgIvk48WHeL jV38CtsBr9b9Uvdi5Guyb/eDpcrLGutyvG1sMd6gKjvB+c6rnb90erMU/LkOn+Z6HcCCl89Z2LCy QdewtR5OalSDcGWIWC1OEm8Q7xYfEVeLwRfiH8XezC7uBzbzHQzLNuwBzflb2EXso2wl0aiuPHvW qDhoOOTzns+AsbG34qx32U9Q0Pf+4RpO0ZGfZEXT2fPZlYlFVzzDA4uVb6YGuL/02mwfsEl9HOQ8 0qqeHntgqvB9UB/HDum0CsffFQkg/nOQ/USRCZaaFSlrQVIjmf2gfuOvWlXI8RkxyrbIwUitauue m/d+1qqKc5q0KovXmbKb9Dg7p9hQZ9VqT6baYkg6/vO81AfKBTffi+OoY1U/KbKlqgSbCxXpzCUz edGFseWxM2PfVVhWrULXLXygDCptVjpcirXXpHpE31t5vIQfo0yQzFm53bj6l5CMqgfKwGYl114X PU6lfyE5OsVZlcRc8iIveo3uw826+7HhUUuVGOtuaM77D5QernHCw7qYCxWaM86qLJDxkyJTrEq3 cVVtYC4J4UU/1VE67qbsOSudgmm2ukwQLFa1JeVp09QBZTeZcTxBhmHb+sX59RvFqjT100xIfB6b oP50y2f2S5XKcmERfXEx9Ohjby7/xIcblZrxOTv4J0U8WIupMguqE8XpuxV42OLvygLL3lSl2XeU Dx9q+GGNX8mEDwLPQexJ3vvTIXySh1c9yWM9yaM9yaM/yWPynuQRlWcrz8IXP1ro6/L46KJl8jXy zfK9s9jT+Mj+Hc4vaHir4f2Gyw31Dd8fB60Nzxr6qid2enwU2C7ktZmFTf0TfiORTj6yTah+aURY 4khDtnYlPusG0GR2YFNUu6lebN84aNWYyRgyYFNd6FgM0o9Ew9ByeGs5fDhQ2tS/wyorf1XLW7uY inL7Wvn0szRjeGsXKb9CT7a3aem2CrdyAhNjNDdgS2xuM+v0zJVsHbupX3iqqT/xED5sJvVcP/x7 6MOBUM+lYUO26wGYcAiLY4V4crakH+WgNQWyPTk9mR2kZR8HGaK4edXcAzybw+IzvHZTwiHs1FSx XLzJYXtTv80hnIZ1kPNtRB2VsN0k6UJDPGDpNBdSq3IMyAMYDZQFN1BDz2xBv63VLDO6KdzQ180w 9PXVlEuAWELkgKk4tWVzoF2GYx8VF47dF0GKihMvAXKqgdqynYJxEH5BUbB/++vQsLuPgn0aULSL olNdQf7+lGGX1WjgOFW0k6IYXegt4pShcydFy98LGPn5FCzaTjEM7IH7xTCXggZkEUD5oWI2VVQF yjHq0MBKcJpOgb3gEwZp+ZKBF1Hkdn9Yt327/7YLGB/mgX0EUsZ6mHsNFgNqWzmAp8FlYMfFxAJx UQPlv89f7i0iWX2HgHyiiKTKSUsYN/91egZFkY9f3wfoqzi/gV0UZjCQ28FuivDkdBbtoQgCGPZQ 9tuPgI+p4TzkFEAy8oFUFrJG8Siq1ekUmTBIZg+TmQPkUg3QM7A0NsjuIdXxbJAqBRsGyMxhsp0H E/rMWhx5yPVVOEigSAkDJONA8kIfmcwGGf5ECgM8G2ZngWmgbP7IgiM6utGSm2d1MbDNbDZx7W07 uxVS1qM+Fuw1zaG1m5JbumuQHZk9uu7cVQ1DK+FKOJOFphjHCLXVtoy6lpbunreb+v1YyK2qFUta u/rlV+zJW3TjFeJe4zVao1E13QZzsRRiemQ+4/R2Fg4Hf6TFAD2nQYm8pIXJg/ozUnTGXujiWAgx AZ/ngNStE+7De4GnEjzmlEDsMGRBSDifL4SEvhjESVpptDXJTni2iPYGj6bfDxYUTBQWQvoAfSLf oRAuZGh+GMdsELabjixgnt1biH1J+40OFMKpZJEcsseXYNmiGZOw+X5uWY7KqTBbtHYS7uc2/x1H vVe76XAh0s22l2yGJJwGeqbLt+tcvjU+kCvKu8O/l9TVyK+437zmYZQP2CjugWTkxjIVXBZYWLuV Be9KuL1ucEhaBvGgF5T8RRwO4Tf1voSjpYFMZIMZSbW0rcVwJRrwokkHBZwtkiXTCdEy/lRffYSY w8mZJuGu8SP0fsk7HQ86rfCjrfGj6Xdy5u2a2W6qKEFd6pWqF9HT5zOhT8QKX3A8mOlxnS5F4Ysp LYx5gbZD02VFII67ZHTtxILFIBT0TQPxMSANuIIGKfADMuU85JAtWz14cS+GAF0nyAAbZstSQNKZ GOvvCOTzfBMVEe2TFfGzZbopCh1IrFwdrFZmLlPsVGpWK1LalyjS/RWSRIUSpFZVKiSvzs86FZww RZGwa7bstc8Uq/0VCxTtpsqAQ6izc+hSJlYMj0nv2ygxwCIcwkj5qpl0ppQA6TzaYeg+7BaKGY+g Kz2/DwhwWBRgv1MA3j2KjvlDM/ZBIONIlXB+cLtpB3aCGegf22ZOhWukLouXTI9RB7WbUucyveiY Ohkq0rkPB3pNobQC+3bTzqb+V/fDWgChT7tp1wImV0B/4VPPAx67y71e0jUSktikrwLXrf2NeVCa UUgUw4pkmEDc1FVMajf9o6mf+2UhFsOCCi6aT8it2raAaabiX9dNNhyGr0U3+QK/ScNu6hmAreQN eZyK9D+/NHYGzMzEBYEWr99N2zhTp38t4cR1kC/51VyRcI5mrtO/yuGULtgPjym4FZujZsmOszkU 2IfcerFl8sutvDh29GeKQmXWZMW0slAJiPlM8fpqxbV5MKWEYEEmN4EgUubQwlY+QD5DDafHEEmc SSBC9rXbuovEkuYe1waabL4y3W564e+LccYXS29pbqNgRnF9uIOcC9aXQazNzCx5oc08TFk/65+J BHEG5j96TgMAURZ3gQB80PQDN3SpzeS+hwP0lm4rBSXfl9AqbQG4d7uDvAOkECokRtoGdPsMF/DS ILDpIE/VsGkfFtkDkCDHElF+Fz52aO2a9xtlMjPrp9nTcuBtXAU/gGOEho0QmtOz7s5uK50xaFJW 42DMCJ21dCO2c+8gfSCwZhY7K6PFLLd+EglmIlLrD8Z+VSutlPYuorTzF8Yo7RqdCPBnt5tGPkY8 ZD949k4BREmSE4y9S7csmMKDvi7YBfosPv4lfZPFJhjStQRYw/dhoHc+i09cQ2fCabmO7aarrkL0 ro7i3xCCevl58VXRsC0pr4EnBYytNIpt5lX+EMz86Cj+cMAiwVjEzWEZHXd05+UGQ+c4ak4i0IN0 EG8c/VgXIfH+HGQtlGhBplqi/z3KLR0kLHdDkfNylGQ90Ggk6a4ZGreVSRqJBqQtd8vWSNT6SDf9 FvfUTZL0nRK9fpMk6bh7AngtTRKeOtEV0WkuUQBdVjGu3rOv83g4gDh1LQ+oIe19gcRff73NPEKp l9vM1FlqG5AZLOAxoNkMse3oTIq6Ta2lqIfUtr0MqqC1de/egqI8irIhQSNwAENhIBizWKjOTsug hQwGkMynsPRXbLDGTh0BLRowYEm3jWOT1I7ObRGWeIxFhoMF2M5jGN5DDX+MZhJkAg2gktD7tn6h 1GcPkhKKTAYJA+S6jB6zDQS4BqwWg8suUALQOxom46soMmXQ7D1Apg2Sq3lTQCoLzIK6LvKZiY63 q2BGF6nzAQkga1YKmNZBpoDXWNjLuDCTBTJYVnrzg9l4ijYUrIZr08a+ZqZpm/obja1d9fLubgtO 1BudW5GXoJwbjUH1KfgRn+n1chchLnchBrvXgtoAW3KwmzSOsR1thO3ckHzCCLKLa0/v7Jaygh/1 QSv/jZHdil6T99wRrhM0DJ2yZpU5VjmD0+mgAyCC61RaCe4DpZXgztmTn9Map33vUC+Pmm7LKcTO 0css/Ri02GFf0xl8/PwNukU0RlaBkjoabQbfSlPB437px+htdItNIWRoq9YJmRtFrI3cAsRw3r0m JaK4UBpjHqaEoIpfDKv4+xFoCL2mU1V8KdphvCtivitizX9XlM2t4tu+yyvl4QdFNNoxEXxf5O/2 Gc/f7Sse8He7gXbuIjxEeGKt6EU7wM3fzQZB4FYVge1YwJxQiKkD7cGw3TheziIrE0e3m45b6e/O OSuz/PDU1WJ2D7T1KcTieIbRb/mxABiCgC8YYRaDlVqkIMDF76dAIMvg7mTx4uSU9VeuiFlAT6ZA ljTCLOC2l5ts8mKZX4BMBtQzF8siBLL4cJlOJJuEYiXKL9g3M1T2hq9aEyVLCZGlS2SSxbKliGUO ySThQVlH/NQJIllCuOy1atlqicx9HWeMEd3OTYmgxcyFSsB8QwC/8K8sY6bMODc5Ah965sYiBiYt JuWXXsjm2fcHps4lXKQw0BcCxBnJSDorpNCftcc+lDbLt7ln4jl3NaR4WL7Mci4YXgidjF1QjBBI zDnpOWIrGKbJYT8+l7eRoxXAmBgesQTfRLfpw/BXPIU2EdjuX70CGhZcp/dEQEiPve02J+paYHhs PaGNBazlGVEz1Qdp+1958tJ7K2krK68tD6X5Nca+SGMXYpmrlNAG1FpCtXBhvC2sve22rpD4zvV3 UwIBAn0fDnzn+p3rlsiisIf8br4KuGZzBShBHGrqXzJlNWDht+mkzjlMCYN41OLlE8CGV29oImi/ 6OqJHh3N4GhQ2OluaO57hOnvS6/T62MNYN3G6pVBPIfFIU7fJVwLDNMDv9RrhnsGy/JBg/3OgzTX ouA2892ZRQuLVhapnVodCpihtL1Fbebak0WfFn2HqmC9Q4E/LUzfy30M23UTyhWbDFH7Jxmuxz/h hhha15eDneVvlzfl1pRfj8/Y95HBthz0lbcalOWL3wKuc6uv008UgbXVW6p/Lboen829Wd50YJUB WMo51fvRI75JSC6fZlQYC6KNH75zTR18NagfJgAdZTrw9Mef68KPUX1Hdrzp6Lw2SYExraQtrTvA GCHtXC4ibSUUuApcr/l9HHA1KDQ+JkTgrRArn/riAPyLFNWgbwlApFjJnJj1zGIaYcWDoSeoIxPC wi4hVrQMdwNw7M71hRVLf1qR/09OPHWCTdPz0JJfhigTkSKqKlhjQ/uej2jy9Q6URxErXuUbCvBQ AQC5GnqsoIRN+04HiA6yTwGmhMA2Nu2GWQcCNZjZ1HqSTZPjQgCGRmhSGISSUQcp7Oq2qu/vzCas 3WRnT5hNwAEbT9B+M/0VHkUP8Ponj3L+wKME3tKNqDQNcekolb5n/2ut/NIYlSbX0TezmvpHmLSZ nfrgmZVJkzAMvIeymA8PBrpgl+hz+XjvN/TnTLoqnW9l0rl8oo5eOpdP24mY9BMPxKR9e0/gEomi ueei+IaImct8jwABwuviPEzHA7ZayXoBZLtG8rtFqwQLpN6E1JsmnaQTMNeLVKslPrwHjnP5rPXe NlLvybZSJMSuBjPnn8CZgqZ6+VWfXzyhMymHK6pGmZnwqyxktn164jkzD7fK6AxHL95uKzMrqPgR ZloNWlJAdrxsla8GpH4OvONl6eC1lbL4V9NkiYHeIGulLDFBtnJ9miwTJKyTZZTJ1utAUpkM0XO+ X1l2mUy/SZZ9VnbAP7UqTZZ+VKZPkyV9HpBQul6WoJOdcR+l5+JVjAf2LYEj9MySIna+7B4U0jH1 ueMVI8d7mIrppyxyaoCi5M8oi5GiDMPI/w4iE9ywnqKeoImkSAZF1Vr/vCMHUI3ICw9NYc9ktFdV vftYTamXDn7+ObrLuJ3CuvzzV8Dc+yuAvICCWrCt60h+GgbleXpkFLsu5W5BlpIuZwLU0i6K1kXJ /Cn/PRRNxgb+zXsAQzYBvAUKKGYDyabKy4+DXKqT0eXvPwEMbKd8OLi/fz7omgjew9dvp4gv4XaK VgX6KLCjHt9B4WQSG+TW4zmAzKvHN+zpY7OcoPwmNdz+bwXB6RFBoBkmVw+QSda//9GzMLQSBkl1 NmVOGzAnCjFJGCizaoQRieBF03g5Axe4CMYPmlcvB8toeo0rkCxHj31tkGTF95DLaEghpLNz2KVs fFQKbEFSoN7YqFVbyF9rkByQx1lM6hpqVAhMr3/Gp8ldaIoDQ9p/MHzOG5t77GjNPUM9Y1qANaIF gkfCr9c0pgbmWZ0vpNPl+KjxZXaQQaNiQPIn43saGV8pZLR0I0lw7f6IJhiRBJSSzF+wd6lfX4Nc KXlVfQt8Lb9vJBrlymW3oLrG8jOtXq5ymjovpnrQdUA+F3dEftg4aojtOLhxxBBbCB58T29rx7Xn Os5FTvgIMo50UMvm2fCIh0Iuw5PnylvAx3O4dYitkZnsJRWWGk4hxH8ZUxtWuZGK2qQZ+IutemPX ODfkilVOzQqnHF4q15YDMMZSFMbf85m3RKxb3EQNxJG3tgqPw3A+h6MAQyL8MFrJjLexvUrIAEtK IBtpBxo2JIJDIhOPBmdLBW5z3Comoh/FcIV0Jg/P4OKn6UMi/+eSYnagPWJTLGdRKrfdNHnETz96 W6p8jLWxlv1if5f+2BOAHppxLl6VwwN5/CEu1rBPCAWHJ2TwsMM8LSHRCfJ486L8cgTiIPlbnFQQ d4sTT7NM4lRzpSCOr+PtIPnAjdjoxkaKhuN2pNsqBpwv2L/l1xPUgt3r+Zn2DZh4v9zQ9H5+vxwC LcedweVwc4wgXYAZ6Trhl08CLalQzIniRQRo8VhAf0QjYIh7CeZkFi0KMznSpz11XhKZL8Hme4Kw 4Fc8Z0tfifR84VRk5Z7wCCwPQ42VvC2FWjMJsMWzcTwKgGF4q808bok1n3bJwJSNiNz3+JJ47TGC e7pij+8tzvEb3H1RsuIgGLYwpN2EQ7Y/L0rmDkNu8GCU7JLbcatn9rjztlV1VUVZqmMCbYdHVJdV dPWNqC6r6PqXn38Tqa6fowM7Vbc5Oy0uSHWNiK5qpLoyb6qsoqt9LfBqUE1ea7X9VS5xM9eCiJuq eHqc7uUfVUhzOWipqEwsrupFjcYhLgXEpd9TSc6sBUhzLYmT0JOzqlZoE35UJdDjXkuNWz3/HmoG aS6rXfd+e8pOuIjeGsy8KyhW3eDZIG1QeZQ59W2f84tZROn5peS4JUcTkd6SQhk2FxuTWyNqi13R 2tUX1dzzkVu5BDIxTDAv7pIbUlkr6tybe57QcQgyeGL/fD+ZPDhwYUjwYWhzPPNIyK1MpLCueLEC 6txN3o1HN0dPv5AV5be/Xf9F4KzBjbc7GMc2YeCsoUjQru8KfWaYRRcWTcovKPBt13M8/HYZluVu jAaXMkeV1sZoeADbB2svuaWEZCuhS4WW0RU6k3U0ceT3eRtm30oKfBP5bL87HveHT7gGxBgd17WZ 2y6oWacCDxxNzOAxthyw9PrBCL2WE5eTJrsoXVdCgP0wTIkUm+vDgadls7agaUQS7dU3d7XT7+a+ gxjB01eOj5+5x+XCxtbtO7yPMiNoQdVIVqmqtdXZ1ev2utYfPPWNx5Soi0DRtvebasmd0zd4S6L6 qrfmpWNEMZRY5U6R8avRbxS9/keR2tnju8c3Aju9gPkTuHTuYYKnbyrrI/X5leH0Ym0kHuegbFCF JWTdUx3w+gcADfuWKVbc4th2HQuNjApTxtl6gtMv3VQtjQ9eEqdpUK2N2R91oGRf8rWlMSDFIW5C QgdZbBnv4bkfElLmS9G7E81CgRa/8YVt3aM+xY8aJDlg7Ydr6jZfWX2EKPAsDypvGHqnqf/W2Ytw k0FwJuzBxo/lHuczU+ma1++n0iEIW+qfeoQbJGQde7C1YnIH+f/a+RKwJq627TMzGZKAOElYBF+E EHCtQEAQ6kISNlFBAhKlthYCIqJIZBNxIeDSal3AqnUXF2rd0VZbq1Ww4tblpdWq2KIBXCEqE1ZZ 5ztnAgp92769/u//r/e7rv+b6xo09zznPM85c5b7OefMc2ahSQRTb02U+FjleGXHCQ40Gzap95UU pgUn3zlwWTPNZPjQqxK/fbyOBcJ4UPFodn3LPMZM8c1R5+x7mdyDTxJmcEhsVXFVm/c98cnibz+X CNZWX/I4fdGnY4V5ZBJnpHyIe41/H853FXG+w/3s0x5z4cjfDw7VmedrtEv2BGyGnO8foOtZw/EZ d+WvMvNut/VwvjmHtRR5wRaAE/aghaV8vAWbCd28fwCgR4yv01SF3dQS0+xAO9CqTZIg4bt9jmV8 kPDp6XK3doq8pwGjEeNjDh2hSGoQAMQj8u+ujPz/x+g+/xdGx661jGcSEQOA45o2zng4Si3VJoOR aHlhplQVl+CTppbOTpBmxkvvQjKnkS7Ik2rAzIQ8ROZyPdLzpKqMTI+MPM+keGnyTvgjXppwxjM+ Whr/tVTUQ+UQk6vy8uihcpDJefhnVHevs8AxndnE2JUxTAcVxjCvHDjADHSZcZhWyMwaVjBY01MH UOYAClYwvMEyAdBygANodQD2VJfUrJLBpOsZghklJdYxHBowgFrPLAeYrFkNaJCGEUC2risDyOj1 DEZscGBwWrbhQ2o7dZQyucD/ken89u9zrCIjx4rlg3Q9yOSD+E5aDGafcEILVSzDSgsgcBxTI5Jl g4n9wVaWWUFi5Ue6BujpEDKOC2wwEZnaQKs0bkD8D5DYQMfLeCYLu8+xHWdXXiDN6mjq6GTMMV1x you5M4rdLlYX08+tcZn5AitC1jiIaG9q7/Iku2mWKUuzPmJplplxh4HHQ8suvVZdbsMWj7YYENOC hMy5F9NSQar1eouhdhQJ2dY3LNl6wbKty9wfxmo1s/fsbf6ehJ4ep/PJfS5Lr9qnO9ZAbiHYiHF3 Yap+vpgJT8Trb2fSf4CVH7uRYD4D97UeP2Aih+U974pYsnMCkR3XjRjha42d9rXWDiDfsyYRRWtu pmMyRIIY4lGsBjG0QyIsgw+mxmT4Cb6ycoEc7QvRRydEnK+F3O9EV0RPLIjiHCG7qSHE5xMPXi8C nY8RP2uAvEzkRA6HvGzQcMTLnttU2KTliBhhswHnxgrEk9QSXsIQfoIju29xuBntW9D3TeQFLvRO GcYV4eCTIbgTtrIA/sVvjuQNviFOwgiJxhrDvMeLYkQmHRIrb2AmG+S1Bv6a6G01XiuaIiu08ao1 rEIsbHy+kwczhV01mycbMQ6dEcM5AA8h1BI3NCLgTuDA6GxJzYeIUC3d7Wl3LWX2K+k6WYuMH4Th 9XQ4ODrKWWwvrqyn6x6YBNUaapgKhifaiVN62rGea7FGNNMfLdlzHuIg38nLfB4ePEokGi8SibSi cTP9RUJEChlEClnCcycf8Z1qRU3X04DuVaZpxT2rTD564J4lMNKdOrTIJIzwAt5tlOOaEiPdKWYX mVL5yoSLxkWmYQOUw08EKyHhiVS+HawMreUr43yVGjPEdwqDIrzDU8co08LVQcrEWh9lcpZAHKxE OxkblGLfqLSPI+LNlPGTfJULC5WzskTZEsh2/CDdWRkQSpZFKQBPLdmKxWKJzqYvwmsNhXvRVsWI 8BIwit9R58cP5LycQDsGTOaoJUSL6tKuT3lfi4vxZ/35Ac9lRfLGiQVLY0p5gRVBi+NPy1rJo+4K MOKuxZOr8phcBXZHII/l7fJV8kU9+0MzRE7E0dgMh5OCnMWC8/KumQocpPpZlCx+FIfp47CSLg+5 05eF0HGAbDhHJpbf2m/3dfhMRcZeEHNgoJ9wkyTVIr/d6UiI34AhIhFn4BIHoQVp4fybWmDvlr1g WRbaPuFsxpIwLrscJhJWt27GnnkJVvNrDW6Qn9nnO1UrZ2I6HKixro5UTP0p4KzAzXLYJTFPef6I XP9xnG+cbCUJYvL7kfgyp7UbfYauutNfvtZVGp4He3H/jT7NhnjwpMnUTwk+hu4EIjG3ZzxtnG1V ayBvPM2OhMVUzFSE4nxsMx9b4nd6Ek8t2pSdbrlebq/GgI/wmODY3IzGoTlTxF4PhR4Dki5prZMu TZOZ7z8krNnrJ0wQI+YQSxIgH5eAUdMsPLYsCXwcJwreMjJ8Uyi+ADGnX9eBB52bvbDdXQLLjQrM T+gnHBGKH5nEC7mAR8Zo/IooLo6BaoUCZKcErYzKzvw1NjSX6ErZj7mNBHmpaw9UOAWvOC8knNwk 50Thb1lK9PFfHTT/WkieE7xLpM70LyF8nci2+OBrB599xllhgueohw5PkgyNoSIKlZnhaXylVjVI /G1OPFgUpBSI30mVT8ks2PZO6t4JawbMFiVu58gVmG1KPGcJ5J816yH7jFJhHwYc/kowNCX+G/fZ A580OW51LpZ6Tzm06faMlTy7zR6Qcu0oPlYMGRf9sKMEfD7689GKs/arKH342X8Oh0PimbJzznz8 2NVsSco+WP5smLlylNkGgtkeSqJVw7SPcu9M+myizi5egVlIFh75qXKIeHee061Q0v32vSTdhz8s fLV76Bndu7qFR55xluiyJcmfcthjeUWiIlPnQ5BvakSbnoT1c06u27F+8lBsav+phcoJ4UP0IISv TC5UikFg9UrlLDNY2sexROxwLidn+bVAH2EOyYNsjumIA08vPf9mAnMw7/Jkh/ffi+9D1EajHasD 5vZpTXyWqAHwZQ4TdSjkRtQ4AFohVXvW8FZU9RTr6XMPff16dS6qiCLznAB4cdAe3AGTAeD9otUS XoMBWAVJDLs4N2eeKdl0bib4SG3yHDI1XQB0PVmqtgxyNZ8IMRmcC1pdEVc7JBaTC01zwZAx4E5F vfFTtwGvT/+iU8+qHD3tCeeqp414eyNDzELjqKsTI78YMfzC83zrn+UPX3U11RrM9PSCMu1O4m0X gCzYonDBd40C/t4mtQYMVDQa8zIznil+k+PTP8vR0NUEc+RdgzluMua4DOZYuZUid3sD0y6DoqYe Q7n2/oTnj2wm9HQn3m4w6mCcunX4W0MdOIZjrN3M3i07iBqopam/noZapNd2EoNboJqxODS+olEl qqmHYuhgsp7GKHSC5V8VcZAiPW0sDeParenD/F6auvR0hYUpGeYK9ECop/1d8Peu7TxKxHij4qEC wXpCx9J3/e4Mds9nTXJ4r/Yo5YS6GL9Bi/iD89pIZtioUk4BlJn0FzLXoQzmCsAUVgYhr6SlnLkQ CX+dyioElux+F6eCsaaG9f/7v/6qDIHwLodlmOBm/OTqj+xDMougfap/I2PjWcqJey2DEB4sQ0qf VNE2kMtBz6KygjlS1cZhT23Y6+mzzAMxWQsZy9p6PT2VQzniUZ9SZDRjA8BuN/wGWvC2dSF3QX+o yRG6P464zWGKLGiQwIK54RKMFw374K6RSlKmp2Xl+ynyvOsMADufEgToDYUUqbVy20biFhzSk2f5 B8b3vv7OIfz7D9ExeyvYLQCTzhyJSWc4oJNBnzRcWxdmw2zSPZM98h2zg6GcLOTS3IChDtZ7BHKs gjHQ44joTAwDcHSRjKCk71MLqOVUdSsjy6NOU+Cq2e1prNsFK2QXueksXsE8a8As0BQPmyrvtpb4 SQo72DuwqXJMVFYsux2kp2OeNXS0NRrgYKEbAHy6njQhI6ANjOzKtQ0Wo+wsGHn4q7rj9YUCtfxB Z72BT4RQADQbjjxpCmL7CfpowAJEZsE+QfiZ5JuTXGUht7I9A2M9QdiJXMS32SVInq6jHIssR34g 6wQ+WoUzKsXrvqxgu5gGdjE4D5TIPK0yij0t6XFWtIz4nNrRvWPezl/rAIoxhgCcpa31BN+cK4wS Ymuoqw7lDrX2wwcet6417OTYbLSz8DC5OsiFlrm5OA/T2GJlDwnBKqwd5woxjvUntyGbLQcxFVhN PflzV6wkSpQkIVMlZEZwlGDp8FpDPMfyITbyPneVpa6D/MqZ4d9wfGkYMOlpIzoeZmfBFQY/bs7p dORa8T3LMcuxNwbzPW1zhL4vDaRPh9BybBP8bZcqHHPjFU+E4UAZJQzOwDIwrlAY4X7VS9ghNL3l Jaxq03TabHav5JTyI+cM0XWgk2x2FpBKeo5VnCIwrgDDxioIUXuHWTSBgxi+f9tzaXKCnD3IVvtc ig6yvSMHOGbaZuh6z880NiwdMj1Ld1hCk/1BWjwDO64gLcoxUG+451jrEGh+OJCw/YnMwLBh97mx jmfNS/lXA6OsTB07njRZDz42oWqxpStjkMknZZ96NICZTMrlnN2jf9ImEphc7h+wIjzFKlM1X7l8 KikP7+AvoUCqG/QDura52VwIj3WyDMQ4q53uT7vn+D1YybHxsrPghQJn5RpJhPuFUYNnY9vMPnjF azpnZ2FzCvsHM24cz8TSRw372pOmlNkae66gq0OIg1gGxIJzBerFnWJ5zkNncVfT1MV+GTppTAw/ KAwS6qRLMesUSSkB7y7+zVkcY3pR41EWb5ajO6S+f2h2rMREdFI0iSsqDI4az0vkWnSZ4iv4HO+0 iRYMtwLESgaNMF2SdDBYehtXPcTuD4c08LiiI1A2MwNrjtDTa3iQugjNEj7i2NxwHOj2uBlb+4pX lZE1rV4bZdVvw3JVTltmKVmVHZz3RUaVtqotBb/N6Sf0rOQsSqluPZ17OnfYTu3xzOMK7iMO38Qz S4GzW5yLUgQfzleud3jUAmSZ1BaulcOetLW+Bcqd7STHYad2GpldkF8QHOWwZe66mNKCOwUWG0vJ xj2zZofuXfGE6ldkX3RyUWPBiogmccrs94oitncEOuysci04UPQqYnt77pXDH0DOZO+/qrW8qBY+ fUrOOlFwckuRV3GHxWANhnWIMLC5WJRmsZHYeKVIqwwpWlwMzLfy3fsV25/MLGgqNt9qtkVw48SI snFlzxoSzvk8xCo5lafKrCfvd3/SpHMnQKScK8xSZCmiRDbhX2SMu09IbULTbb9SVYQxjMALtqwM 7FRIlIWbTnZr4b2tWaQFKCU5M+85XnT7acQXGbq80Ojs6PeZlKKv80+vntalVW5xdQ497PP9O7KP pg95eF6mscp5zynnaPSF6LJ3y7Gqd3KfNL/vsoin4YpO5yIPCyy8QmwzW/WKp1c7CKQqv5bqVSmz PExaCK6IKq0W7I05GucfH2X1rqlnUb+5GsFSzYbZth229aRDm01KKQmO1rpr/bXLnJO02dp8bXVe v9Paqwsxt5+XLbq0MU+ZKgqrBotcwqqxPW5dS6aTwHLDAmqy8ANqm1mU1Yn+Qx6Da9Q9auSAiPXT +1s7LKbGOMiXrZ9OlVA5Do+ol+L+B/qld0rvXPG/FKMGafbimYmj5FkgyE6SnkBnqOfL550Sp4OJ eXKrufMCEtf7mRbH1MmwMEuLsJfizbeuRx176h2pkxahRdqWh1c0Fx2PjLQsvvxBzYtAvvc0TN4e fueKpXuEO7HxVIi5x3IQ4X4z8GbYo7D9t7470xHYTyU/rrCJHjHD3Hwwv+Ve4GlLplP+mXn6Dr58 t3zgKX14U7JycaRinf/BslEG2d3Rc1oLf9ndtq980WnLqPq1g4sTbbTKq6N/nhPeX1jqPQDrN/z4 8gWFPzO57TkvAyZgICdLLl88auVxta8fFhA2bUqLylv1lvhYXeHNDZ87a4Tpu4bwznhe8Kjy9YB+ dYf8uU6GPENSWSozbQ+oIFSnZbWbr6sGf1bW7+uy78uAve7yyVxbg62BV3iz5socyQLK82Sub/TV j+ST4/9ZVnnV2t3avfDmkX3lC4Kw6pKasEoZdGgCb9Q3l0VeVITO/GGsdnbCnr3N05o9ZAxzUcGr NsxwVzk617XcXfM2l6KACzWmoUy7fr1wdpvWe1WZLzj4YXvuydwZVWrnsDMm7VOjV1oUOGdUPfPe qw0oe6+gTmB7epv2iFa6Mrlj5ZjokGhwNbo8ujYq/OcNp2a4h1fMGAU2nDqZ6ywbLdtzd4ZX4X2R e0myLGfMnOG2/AbdV6NmqOqWfTcvbmDlywrz6UE2K36Qgi+3EJotZ9/elJ7vt6lKFj5iDQV+tIis m1236MmGU6tqdn+y46V8b9jnE3fl3X840nCQPPflKEayQLoXOOUFXrp24JcwRi9La/5gRewCOP5J QexesPjGiji5pGHqBosj4piYo/wgiThpoNh/kjjp10niVDpm8W9x8hjTqPSiuqrV+3N07++7//5B 8ZLq9af/GbjHcCZ+/FHmAsMra3kZu6R6UMnRaqaRMaGADXVVM86kStMwf9EPIu3uk+Ar85NfnYn/ 9qLflpNfzRm89SLoKk48s7VYmj3x58tVgbcu3gQ3h4wrvVy1L/Gd4mFfKFIiU0QR7qZPShctm3X5 XPDGJ2U2DdriwqcFDFOyX7zvWQEo0ZZ/P/z7xrKvlxwklb/JPsGq5ugW61xeKe84fn9CV6IbtjRl zuAHD1aWp9Y063h1vD0+D3RjPv55fF1Y3XQf5W+Kqkdl6+vOZylSVmbllKeDy3W36769HpmxVZdd Z89kLgQRXoqu0XWzmMvXLlxqruPRQK07Cn9cuvLFy0qmnhk5HXzrb5k3JM8nb9La9Sqzj8dq3CNL 9n1LtR+ulLnqnG+VcN1nOorcuePMNj2mGAaU5o60Xf/2Vu+SvJt5j/Ka8zp4BQN3JE+NH7t7RZdL flRy+7fTzzItMjlnzBY0dE2AY9ePVuH55Rbn7WdwsTJiXsGygrydMx33bS8dNeTLPYOuF8wQrb+E 42tzQtYFrlpXvm/f11Lp8lNOq4YWTro6K22GKCcc98djBytj97du2Wf17q+z5F8uti+SFvkdOj/y vIS8NEIuKfYsDireVja3eOmXGKYWf3Ru0qUJZZf9MAngDv+sBLd2wgYNr3b//MIZrzLrqzKcP5S2 HKyXPfim35Ryq8FhwDvsowm8H8/4poeVy7aFjfpRfEZmH/YgzC9MXtIfC1GDxnXk0n3ztytRNItl 6TnKIACHr+XKmcrVyjgwLydiIj9HNTdHGbdcmbhtb/I3JVjipU87OGrOettpVkv5sktXNq/hRf32 2aBHoTmCoUeBx3anK679Hf0Ki0dkXa05m8Ffb42d3ziPROutePeNLqHKvqYeNy6hQkcZel6UnrbV 0wP/2Pfi/i3fSxptSn47FvpeA42+13fQ96r4ve818HfUu+czfDm8n7mXcp6M/XMP6a/SI+/EB/o9 ieN6eycoRdLvpHs+bkee+LMhYjLSHYCZkOvfAjcgUiIyJU+NNYaokAMZ/HtosJj0hrmiQDfQ/4B/ g2GqzNdIz6Vy7/ngYtizBis7Pd2vgoGsHO2/qDA9DV3xMAkvYAiuVimwZw31BhVs8lPI/Ln8yvbh iJlLeBiGD2D3ZzjLqLWmtQbVNw9fvWWNq1xwfpH5iaX9HUx4NfU31vDs/Ybg4S5Ysakt6YIHj+CA 8dQwEEUlWjQbMgedovKpQ/uh+1HVtvPhq0BrPFzQRvHcBrqNdAOds/V0PKwDBWBSIX9Tw7rRiYEK JLfScUCnAbPQCf9QkDi1gtF1MKOJGpkb2YLJYjwx3MyEQ+IRGMcZQ5mgBjUVMFlgPmSIGrAvqYIR Uc7UaArSOJIhYZPgmuAkxvV+LT0daNG+SwKY1dK4L62CsaFGQEcJiQNv0x4hf8AgmxJhplWp7TRB WVGV7QwOCiqZY0DeQNfUF7RgQFxrwCkSl+E4h8C7DfqUNSgzEcxvojNAcgWTLqLudxE19XnDTJ42 wkQc2N4xE0AQ2FTsTRIlYGBxWbuuhLTSKtTOqtoYXAv2tnWUDbN+2piJAQFMipPOvJ5EoYCZCsQw 7QTAoCg46LsKQ1wFM5B63AyNrWTaO6/NFUFnuavWUABw2LLvMjpYgYCLk1xeb4sDgBZlkAHmVzAd AkpCgSIcnGyvW3o3Ufq0sQAMY2JgYpSWC9tuj+GBbFlbskDSC1oNxw0DLK4lpev40ARwHlS3FgBU Q5gpQ+IkYUIQBHDGXrDJaBqkQQeX3f5JRhtA8bCyNUAlbqJnESCthVZXMPZVbf5iAN/L27DD26Eq J3gmxrIjvdOMLQcdiHJXo5cOKxk00A9fXfQhcTMS54RDB4jobSczB+rLgKVMSeyR51S1LUU5dycg 8F4JQkE0Mi6hhYZtah0rn1PZzkozHJIgcYKAI84b+UigzWDfH7RmHFuFBJBXtTXQF1/n/9qgCaxB OhQxYVYrnQUMamPFMSNAlQ4OjSU8NxLDGDEAw8Swzs04bxp8IBvBYJC6hV4IYDmQojyoCUeaoCJN t6ZeiuC7ncMGZ8joebdIDV7Xo0bMdKvp3a+QmhDggLYl57TQDCOkNjhRBBB0q3GD0n2FJwCdGtVu Cz2frWBUHAKI/6KC/VGjTYXvLxF1NjGYglpQprH1EgDk1le3YoEAdjEz4veWKYC2e9joVaRK/7pF oIQPiwTk2Z6AwY02Yr2aeaixWydAQ5lkqHIC2nw19hvYbTrEcO6B7T6/fWnm3eGip43rARzmYKMn CTwEDde9XzaTyIa8SAN3oeXtdCZDR4DdmlbYD2AnuN/FsAYhe16yBiF7cMaEIGFRCJQTWg1a8AeB W/58leguvHm/upFnxxsnGT8WWX3Pjewcb5wCupElYvItX2MsMiPCWyomlb4oKt5rGYhsgD9HvZFZ JiYvQcTrjQxEmn2Ni4vdMtliUg5nojFvZCCyGCLeb2S0YvKUDL2i1zIQqYeI9I3MT26kBI5G7m9k IDJV3kfmZzdyRR9kNUS+gMjYNzI33ciX8j5lh4gdVP32G5lbbqRKYYy81i0DkeUQ8Xgj84sbeVrR O+fVEKlToENJr2Vuu5FD/QCY+AYpdyMX+PXUT8+kPgG2rUQ0f8H/N4n0NGb84E0bb4yUUkF3g0rY erVo4HMB7hCUsOAE+Fubxg7EqS00nBGDgIaBHcpc3U7D7KR6dLQiyNh649gvNGbCJicGbiQaNO/G glToenfWJwMsHuZpw+aJDk4tg/MquzrUQmOp8MlA9slU1Iwj2J6nQR1qPtuhej9tgU+b6DkQd5gF ZTLhQ/Hrh8siXrCZJ2Mgms2coVHe1qxAMEyjS4TdO6mV7jbHmO10WBmw76TDkoqB1+xWOgkFUkEP IQWEQxoq/zT4MLWVdmCjxcCUHq8Lok1mx4v0TvriKwPqyuJOOvl7sLCFjuOykWnQ8UkUFC4TRLPN q1srikPDLGRD1ajBAFhx7TTMGHU/fxD8J/2taRibNABkoepWw+pJBHfjUOgbDSqTFeQv6VyQaiSq TfbdrzoeMItg6ZRQ1/Q0pCeRQapYGfG/2tJitAU2Ya4H8IJlHc3K/J137BAPU3m8qP/TAeO/eaGR 6CJpjLvUc7l33+hCY4fPJzuIDQFGmUAWKbQ1JfcEGEntBBYpgcgXfRCb5B3E9QDjCGVEVn/nSr6A iNtrhPc2n7QLNNJsIxK1yZUcHWiMBdWdCiKRgcaojEbkJERSAo1xGY3IMx8++XGgMZKjESmHMkf7 pOJtdiWv90U6XMjHgcaYjUbk7NYdhDCod0mlMJVjUO9UwXdcSN8gY4Qio8zzfIoMDjJSfYUxny0U GdIHOQYRZR9kL0Qi+yCbIRLVB1nkJSbfCzJGmOyuDSizqo/Myd2u5JogY6RKo4zlJxR5uI/MaliK 40HG6JVGmeudLuTPQcb3210bMBVnQu9Ur6AuXh/kOUT69UEqISLog/wCEcs+iCVEbPogZ7dRpF0f 5DpExH3zgYhzX10QGdbXHoiM7GszRKR9EN52ivTsaw9EfPogYoiM64OMhIi8D+IDkYA+SDBEgvsg kRAJ6YPEQETZB0mCSGQfZBFEol4j6OpxoNFAh1A0ev5Pj3iK5mfUs6XAeKnsHze/Pvlk1R0T6r/j 8K9+35T8cjJ0+AewDv/1H6DD/2Nvh99Yb8az9b02pSuYZ/e7uneg3yvbWUwMC2F3oBW+LvgvWynS wxt0GUiUh4CDKuuD38Xqo8D/60sO7yhpKefu5N6rEf+TLjm8g91LOZ4hRhr473eU/zM1iSjzs3dd ye2hf77X/J+9kIXbYE1+1sfCdhsC7QkDHl4MGTxPYvGoBTsM6gymJIftOJkUhgFJBeNJBVFR1CJd RwP9uBnt136AvXzQmZ/hWGcAw84w66hOPueRfFjxOMWuH942PQ5OcR8N+P40/ll/DrGYn2XaZPm0 EVK3OemmZAbsICvQUWDYm6IXbdpMEA00pC4qpZnoulAw1MqaOYDdnelKPmmKmUOBgQ/0hs2bickN 9ERTHQA3wTg9zRPKTMnNcAhSC/iCZf56uvzzFcQejeC+CTqaMgh22P1aijSTQi9PT0OS6dyOOYvJ dRGbBHa2ouMOjnr67D5BzbFNAhuL4QnCwWIyejhkHW9tFQ3V01ui7goOzxbMsRX9JgBM+XRX0gq6 P2cO6OmbJxxAeYJwhtaVPAcJ+U8N9FMl8HgsdBC/NwGcB9OsIWmV6elDFx3E82BjHTFUEpCtp7fB NnEmNHgwUDv+J1/+/17/J9dfxQv9d7FDe/DfxXhlBzRp215ekfTHfxua9c/ip7JL3Ld/vL3L9R+C TVt54K2RrSfQgi35O+ws1JCOGWdrpCymO+0cYBwCUBxTNDTmAOMMvRcYZQ91234SGGfys8A4i5cA 44x/HRhn/3HY34ut2jfWrb8mdYEmVZ2eqEGxOo2zZv/uI13gT/+1FxjZCGIhSnVCvIs7mIKG+oCs ZPX8xDhxnCY5OT4uXZParS8oIzkOqRC7idMyYlM1GemJyfHQ3UHP/DXJsxLRQ3WSODF5oSau2xhU polvfov7CYzlsO+lN63bZqwXHqpOS49PTXvNmnJ6lX/YH9Q90V33PVsV6F1EKycGRIdMnDLZTzE1 kJVA3Cl6GoIVIZGBEVMUkYFTFKGBU9/UuQK82eroXef/e/3fuf4L24QmiAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAA ------=_NextPart_01CEBF8E.3A42A330 Content-Location: file:///C:/0E5B2E2E/FAST_PACKET_INJECTION_files/filelist.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml; charset="utf-8" ------=_NextPart_01CEBF8E.3A42A330--