001package armyc2.c5isr.renderer.utilities; 002 003import java.util.ArrayList; 004import java.util.Map; 005 006/** 007 * Modifier Constants to be used as keys in the modifiers map when calling {@link armyc2.c5isr.renderer.MilStdIconRenderer#RenderIcon(String, Map, Map)} 008 * or {@link armyc2.c5isr.web.render.WebRenderer#RenderSymbol(String, String, String, String, String, String, double, String, Map, Map, int)} 009 */ 010public class Modifiers { 011 /** 012 * <pre> 013 * Symbol Icon 014 * The innermost part of a symbol, comprised of an icon and optional modifiers, that represents a joint military object (see 5.3.4). 015 * Format: Graphic 016 * Symbol Set: All 017 * Remarks: Determined by SIDC positions 11-20. 018 * </pre> 019 */ 020 public static final String A_SYMBOL_ICON = "A_SYMBOL_ICON"; 021 /** 022 * <pre> 023 * Echelon 024 * An amplifier in a unit symbol that identifies command level (see 5.3.7.1 and table VII). 025 * Format: Graphic 026 * Symbol Set: All 027 * Remarks: Determined by SIDC positions 9-10. 028 * </pre> 029 */ 030 public static final String B_ECHELON = "B_ECHELON"; 031 /** 032 * <pre> 033 * Quantity 034 * An amplifier in an equipment symbol that identifies the number of items present. 035 * Examples include: 036 * 350 Beds 50 Gallons 037 * Format: 038 * Alphanumeric - {1,19} 039 * [#########] [XXXXXXXXXX] 040 * Symbol Set: 10, 11, 15, 25, 27, 60 041 * Remarks: Two-part composite field. 042 * Where # is the numeric value [1-999999999], and X is the unit of measure. 043 * Note: There should be a space between the numeric and the unit of measure values. 044 * </pre> 045 */ 046 public static final String C_QUANTITY = "C_QUANTITY"; 047 /** 048 * <pre> 049 * Task Force Indicator 050 * An amplifier that identifies a unit or activities symbol as a task force (see 5.3.7.2 and figure 14). 051 * Format: Graphic 052 * Symbol Set: 10 053 * Remarks: Determined by SIDC position 8. 054 * </pre> 055 */ 056 public static final String D_TASK_FORCE_INDICATOR = "D_TASK_FORCE_INDICATOR"; 057 058 /** 059 * <pre> 060 * Frame Shape Modifier 061 * A graphic modifier that displays standard identity, battle dimension, or exercise 062 * amplifying descriptors of an object (see 5.3.1 and table II). 063 * Format: Graphic 064 * Symbol Set: ALL BUT 25,45,46,47 065 * Remarks: 2525C, not processed as a modifier in 2525D+ 066 * </pre> 067 */ 068 public static final String E_FRAME_SHAPE_MODIFIER = "E_FRAME_SHAPE_MODIFIER"; 069 070 /** 071 * <pre> 072 * Reinforced or Reduced 073 * An amplifier in a unit symbol that displays (+) for reinforced, (-) for reduced, (<u>+</u>) reinforced and reduced. 074 * Format: Alphanumeric - {1,1} 075 * Symbol Set: 10 076 * Remarks: 077 * </pre> 078 */ 079 public static final String F_REINFORCED_REDUCED = "F_REINFORCED_REDUCED"; 080 /** 081 * <pre> 082 * Staff Comments 083 * An amplifier for units, equipment and installations; content is implementation specific. 084 * Format: Alphanumeric - {1,20} 085 * Symbol Set: 01, 05, 10, 15, 20, 27, 30, 35, 40 086 * Remarks: 087 * </pre> 088 */ 089 public static final String G_STAFF_COMMENTS = "G_STAFF_COMMENTS"; 090 /** 091 * <pre> 092 * Additional Information 093 * An amplifier for units, equipment and installations; content is implementation specific. 094 * Format: Alphanumeric - {1,20} 095 * Symbol Set: ALL 096 * Remarks: 097 * </pre> 098 */ 099 public static final String H_ADDITIONAL_INFO_1 = "H_ADDITIONAL_INFO_1"; 100 101 /** 102 * <pre> 103 * Unlisted Point Information 104 * An alphanumeric text amplifier used to provide an up to a three-character letter field acronym to describe a point that is not already listed. 105 * Format: Alphanumeric - {1,3} 106 * Symbol Set: 25 107 * Remarks: Only used with Action Points (General) control measure. SIDC 130100. 108 * </pre> 109 */ 110 public static final String H1_ADDITIONAL_INFO_2 = "H1_ADDITIONAL_INFO_2"; 111 112 /** 113 * A text modifier for tactical graphics; content is 114 * implementation specific. 115 * CM: P,L,A,N,B/C,R/N 116 * Length: 20 117 * @deprecated 2525C 118 */ 119 public static final String H2_ADDITIONAL_INFO_3 = "H2_ADDITIONAL_INFO_3"; 120 121 /** 122 * <pre> 123 * Evaluation Rating 124 * An amplifier that consists of a one-letter reliability rating and a one-number credibility rating. (See ATP 2-33.4) 125 * Format: Alphanumeric - {2,2} [X][#] 126 * Symbol Set: 10, 15, 20,27, 40 127 * Remarks: 128 * 129 * Reliability Ratings: 130 * A-completely reliable 131 * B-usually reliable 132 * C-fairly reliable 133 * D-not usually reliable 134 * E-unreliable 135 * F-reliability cannot be judged 136 * 137 * Credibility Ratings: 138 * 1-confirmed by other sources 139 * 2-probably true 140 * 3-possibly true 141 * 4-doubtfully true 142 * 5-improbable 143 * 6-truth cannot be judged 144 * </pre> 145 */ 146 public static final String J_EVALUATION_RATING = "J_EVALUATION_RATING"; 147 /** 148 * <pre> 149 * Effectiveness 150 * An amplifier for units and installations that indicates unit effectiveness or installation capability. 151 * Format: Alphanumeric - {2,3} 152 * Symbol Set: 10, 15, 27 153 * Remarks: 154 * List of Values: 155 * FO - Fully Operational 156 * SO - Substantially operational 157 * MO - Marginally operational 158 * NO - Not operational 159 * UNK - Unknown 160 * </pre> 161 */ 162 public static final String K_COMBAT_EFFECTIVENESS = "K_COMBAT_EFFECTIVENESS"; 163 /** 164 * <pre> 165 * Signature Equipment 166 * An amplifier for hostile equipment; "!" indicates detectable electronic signatures. 167 * Format: Alphanumeric - {1,1} 168 * Symbol Set: 15 169 * Remarks: The amplifier displayed is the exclamation mark "!". 170 * </pre> 171 */ 172 public static final String L_SIGNATURE_EQUIP = "L_SIGNATURE_EQUIP"; 173 /** 174 * <pre> 175 * Higher Formation 176 * An amplifier for units that indicates number or title of higher echelon command (corps are designated by Roman numerals). 177 * Format: Alphanumeric - {1,21} 178 * Symbol Set: 10 179 * Remarks: The amplifier displayed is the exclamation mark "!". 180 * </pre> 181 */ 182 public static final String M_HIGHER_FORMATION = "M_HIGHER_FORMATION"; 183 /** 184 * <pre> 185 * Hostile (Enemy) 186 * An amplifier for equipment; letters "ENY" denote hostile symbols. 187 * Format: Alphanumeric - {3,3} 188 * Symbol Set: 15,25 189 * Remarks: Determined by SIDC position 4. 190 * Note: This amplifier must be used when displaying enemy/hostile control measures on monochromatic displays 191 * </pre> 192 */ 193 public static final String N_HOSTILE = "N_HOSTILE"; 194 /** 195 * <pre> 196 * IFF/SIF/AIS 197 * An amplifier displaying IFF/SIF/AIS Identification modes and codes. 198 * Format: 199 * <br></br><img 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yq2K1vBN2INChc3bh2yeRnwtI5GZCZPJU9FQDcO0iLQX16lJ/mvLMaysb/FwMhPkbnI2bPQJa8lmMicBvOk6wTXgYDSF7USpqiBTtwluuL4/30XHf+7DsqAN2ZSL8LNBfIMA38verjTgucdaHv3U5j850fst09VoE5uE7CHeaG+vnDj66Dc8X9nD9Gdt6P4Q24Lzx546tU/oJNGaBoa9WMLHnDsY/QGQLM9mSPn+iq9LeVra8AEW9b4JTGYgnhuPLYWVzRQxxMd/z/XifS/zPF/jYIJz/U2RYCGx6NXIzPlIyTlXyLJ+Uhnuu9ypB2SnP8/i+gkiTiiAUfBHlQBDfpguDEfteRfedo7Ypqmfk0hBS6wDU1Do37sRZvBVhfijtvcFj9Z9Vd2X0U9qHVr3k+8nCNrAuW9aHtsRUrCFw7q3zg0k4BSx/7JeM/GsT91rv+LrLcdYqxxFjDBljVOI4ks+AvmlT+DLd8UoCBhODzLqMPbBkLp+P+iMrCDKPI0QMPS9H74iNxrz6JgtDxxiojOBWQnv43/o7rvyW/w7flH8c6eXGxZ8AD2LZqGN00lCgaUFexai5TBHipYsIcj8EXEv7/EgtG90WnsMnz2ii9aSA6AR78F079f4W7VNcD95Z9L2Yw9J3gACzsX4mKb2wZToG1uLzd3ErXpA1K333K1idQj6B2ux0sQrQnmaVgT7DhbTe71GdJ7L8A3RV9i0ci2OFHkxAltI9BMAkp1nqUo1HDsb7VcdMQap+Fe1mK+6TeY9trv0bOVJzw7PoSggB51uux2CKXj/zYPWAM7cAjVlTievQdbt+WTHrUzHpm+ABG+9+KRGUbxJXYbjKeG9STacGv0DInAtCFA5tZvRLMOGzC9tEgZ7CGf5xC08sHvJ4zBb0wfYw0brmkQigxkPzwE/Zz6vr8N9/k/jiE4hH/vLCLTRiI8RzLxzYhnZK/PUps7DKZgh9vQ+q47+f8pbPV4x9YE3/6vAtWV53AwIw3bSI+KjoMxfeVExx9YI9DMQ7wTx/4O8SvOnzqOc0J7tJUDMzQGouP/f58TRMf/Gvpai56BiHoVWPXmOAzpR4YsYyaOMffYti+RgE5M7rkNHnK0Dhs4DfZA3XoH4eUxNaI+XHsMWz8FXnmqh1Pf7hSePYbh1Vc74mBSOr6t/pEITwl+599V9QIb3uYa4NYEos8AG2uCR7zQc9gE/Amb8OYY8nE9Hg3jvuaJ4dk8Aio71490ybm+GjwCiIfVf70MO5/0LoA7/j8riI7/NYOvtOqJINJbFmSa8OGCJ1EWG4EJHzrwc899xHck1+ph91BisIdxqmAPNv2+FByBTHrWJv3HeSAFFdrBd8gQdCr/F1Z9bkLG9/3hr4w4V8+ABnWCfYiOrAkuoVWPIMxYsxOZZDRYMOo8Yl+Zjg+bIbhws/WgFOdOmLUd+9tCxRpvgbsffAxjOm3D0o9S8C2NWlb+X6RlHINwbiXC/N7VWGh2wfH//Okqx/8MPBBBbf5neIdMfH642xfDQl7EhLG9eQGOk/uQdlCMalee/RU2Zd6PicGisNsFf6BQBXsgL031YYm96ISxv+LT2BK7QAqOQSZLA0fj9SEeyHx/Db4fMQD3abw9h8EUeIAIa+CKFmjdrgN5tmxkkZ6S9r5r1mzESRq0bewkGPPvwIPDngBSlmlYEwD5SfFI+rYCd/sGImTC8xjrYCWssWgeAfXshidffR6DDi7CmOC3sdnSD4FP9Ma5Tf/C2k+iMWQMZY2fxMapExD9FZnRj57I9KVzq8LgR2bWP3QOxF8+XIxRZR9j3BBfPBlfjHsf7IGBr87Dh6YpGN5R2TfQnaQg+IXRoFCKiHh9fMl9/oHygGhyTiIWjetDdEgCOpuWmPCZsxEck0bOuw2/8bqIzTFkVtovEPNqXsCKMD+r4HRqD0vGLPSj15x5EsM2zMcr/duRSxkRFPwWMskVMt/6M2Zt+wH3Pfk8IgceIfV4CTGbf8GAwIfR6dwu/Cvlv9aeiPSig58NRKchj6t7wbrg2RX+Tw0g9RmB5x/vpn55vM0HZvM2r7W2ecq3x/Ct8U946q0tpOBWvBW8kHzkLVld/zyogNR1JMKSz2PIH55Ft4GvYkHyPPIxt0fnoOlY8+kYwPhHovrQWfzHONxrMPxpj+9pgFdNGmLIDF+0tZqNMCkSSRNCp9s5Bd1OjMTYLwKQso2H3W4SEL34wErEVY3CO0FezTuMXefQ28YpbIzgmgpUL171K54e3EV/AXVAbx+HoKrDOISt+k7UfUd/2siFaDKBSpnG1I/H3z2EfnPC8cgNvAPUVNCHeB1uDf0T1uHW0AVUh1tDF1Adbg1dQHW4Na47AbUcS0Fk/AG+DfkjDsS/g5Rj6j0kl1Gehmi2qM+PCUnIk2Nc25hUOKTDXWtUsbXaPn0iYcy3xuy/UXCdCagFl86UAT06ibtClNBw9G7ce88tLLfe6BiExUVHkCkxzbMX4f8WbsdZJqOiWUjBtvfwAiVM7GjKhXodruI6E1DKdPoBve69S6w4dRB7d194N3Y98ZaHMG/uWMaFPJeyHAmpxTIzx/PO9rjvWgZZqBNtmUlMUdFKRNhyDW4AXGcCeglnjrXBA97ii6g99h329/SCC65k60B73D92MuaM7Q0PFGPjW+/jixtwuLwecZ0IqGiS0LfvIwhbtQpTh9zP9ML7x8QiP3YMgpn5RCPh6YWgtxZg5qDO5EcGYl/7O9LOKs0llGYRwxG97aTit2jCUaMqQ9I+SUOuZP7x+FtIKf0R5QeWI5QFW3gW0SnWnpqpL8cyYeQmG49Hf4bDzFxDqQtPgHF/PvZRc5U+IYg/cIrliQHJSJ3SzOKlnJhqXG+4TgSUmiS8i8I9yzD21WTkMuIsNad4AQu2HcaOCGo+0QRo9QBeiZstUsfOfYZ5Cf9BqTxponX4C2PYa/+mUKed3FOGW8ctxBZqSnEuBW89/QiGzDRj5JK/YgjtqZf+B99Wi9e3nN2BBRMikNTxLeQW7MKclmsx5e+7iD5MdOGJ0dwC4Bgy9lei1/MRmDaaMofuhO8r72L+4/SjkvArzqYlIDT83+gYdwAFu0mbHVuFhK0lkCyNridcR0O8BdUlhTivnCB9TyZId9/KcpsKnpTqFyfaop/bmIB3PtoJKw3XlmGvwbhXpHUL8Ee/O1tYTSk6jcWC5Bg8798D99Df1EbqZ0rLpwZwXyHlXDcMfqA7Wnvejd6/64nylL04/INybOiBgBEPoWPr3hi72IgZjxAhZabHSuLySexZRyZ6Qn+mCnl2DsKCPUXYM+MRtOFFridcR0P8u/CfuAIZbz2NfnTY6vc03spYgTD/ftxCUgmbJSJ6uLxMdAs6PjIR7y6gk6ZzyN6YhfKmirI1+Ek82VOLnnwBxQe/I38pRzaA1PcBBL+1FQJKcfKscgmtA9q2rmOs+OEoDmZeZ94ZnOA6GuL/gqQ/vYplmUcYseWIKQq/jTLhO/J/+yFeXCKi5eSjXstE1DhOnDRdHbSDV28D+SvFDZXqbRs/1AU7rQ5e6M3UgTx8W3L9T/SunyG+9jS+238XvDpQKavFhbIz6NXtbhvBbAh+wtnj36PsvI39OJ80RQ28A/bmpCeRe+oH1F46hcJi0RzaalrBOaT0fyxNYY7CTUxEMxEKyfzidvQcNJSoFeeQudSI1FK6DUFNVv7LjfckaNhpURupHxS9bIv7MOiPAaTK32HVis+svgiyj6DcUo3SlLfIBMt2gua+aDF16tS5y5cvB/nLk9wUP/wX6wrbISjIm0wNLuN/GQdw28PD8Nv2jbD8pOYfQcMxbfN+bPn0S5zqMwLDvdtY5fGWjuj7UDuYK70woCfV4G7BPd26oCZ/P3au34yDlt+g750l2HnIjJ8OlaF9wDB0O7wEz83fxU5nab0F/CsyFrk04cROfH1LK1xaPA/rWed2FDu/boPAl/zQtYsPBvjdjeodn+DDTz7B+lPt8LvHhuCBjrXI//RNTNtympdvS8oPQCfWtRBVJvGvmPRFMfl/FQq3XEafF0bg0cGPIqBbCxxL/ggrEnfgVCsfPDzsd+h66xWc3r8Jn+7NRWF+WwwePwj33tpgY+6rAp0PejPCUoqU1/6De9+f4vak6etniNfRNKB2+6uN2DIwAA9cB4x+XUBvKtSifMc6pLV7Hu+98oC4XOfm0Id4HW4NvQfV4dbQBVSHW0MXUB1ujWYTUOoWZgRj7SiO6DScE9SMH5EZVMbPajwo4/5PfadpsuxpnYar6sIznILax4/gdZ0AY/71sLzdVKA+QpMwgQajMB6+Jgv7zSagLXxfwaaty/DqQO5VigYBWBSETh5021J0ltpt9NvYkLkFi4O9xDKNxhWcyNmDTOEQtuSctqOXtfB9Gf9Y8BT/5SoMCJozD682k3MsHc7RjEO8J1r1GI7/i44Qo1RkLsWcT79llC9L+QEkZnrjk3f+yBzYNhmo1+EthyDQLUPy197BLHftWF9IHppvOpB36DsRa4r2YE3Eg9dkWaqZdVD6gCGIjgog/z+H7NgVWHv4CHYs34e+E0TvyU0H6pk5C9VPP88/iO1IP6Kz4q93NLOAUrSF7x8nI4oN9RmIHb8UJ8f9GUGdm7DnZKhEfmE7BPzh9xjFCLwZSNp6RNsJrQRlYIPh72H9F2/h8cenIPqvz6LP43+zYdSLqC07yIMH0MjF+6wuFaVgY5KOy4ILSH41lcHG/oj4DTSIhO01lGVosK1TGrqvWh/+JO1rOWjC49H/Qmm1GQcSeOAJxuBXPD2pn8jEp3nRSPqWM+xVbfAJDhzlrP7HE5C57xOFzr7NGiiMX+sJlkeDpW1CvmawhsbjKggoQStf/FEa6nEEGVnN4C66+jiq7n8UPVpwH5oE5zbtQz5nrGuihS9e+ccCDKH/P/k9Tv3mdXy953289mhPcvJ2rNvDgzrIqEBJlQHj57yFVzuXI3vlOnx9gk7GyGSiNAMfzv4a9y3bhYJvNpAPsgIbF81HctYFkk/12Plcjz2Fw1Vd8Ud6jU5kVJGvoSxDoaX7KtOOYc/JuzB+8Wokv+qLc9SXvF8AZp4diqVRI+BxLgVLU/PFD5QFpZiK8KTOiMv9Frvn3AnjZBoMgQgVaYOJf6cxAwhOZmHfeW88HxmO0USlafnABHudnV/rFXKtxTnkWstG4NiqZGwtcdoVNBhXR0ApWrWDF2tYcahvWqO0Kzi2vRht76cRL2jAgSGi0J3LRGY+9SrsGJ53thXZ7d0GI+hhGsP9Ftxzb3dGVi4+ds7mQ2qP3n3vRStZJ72AymrKghZ1tdWFX2IB9ffZqiO6edECVSiv4lE55HN6IGCgj8Y1CGx1XS3dV3mdQeQ6CgZ/p9HvIfmd8fDrdjejCJ4rr2IUQMuJfViXUgxh8G/h3fo2dOx9P3qf2430w+fVoX1YGxjQuucfsHjHdDzS+lY7nV26Fgb7smt1Dnobe5jf+qZ3XktxdQT0Uj7Wp3oiMnUdoiSjtMWpyFdxHdVQLQmxQxm/xwZ0cvSfZQjz68fK9mNejynE2EKinbursEa7kF6w66AczjQkGTfgUJn9MlfzgkZNeURDr6/FD8V5YntsfB1D5PY5idyTP6gtEbq3Q2un7DvFta4Sml9A6ZCwOA1edFLU8QH8MSpcHOqzjVj8Rb7Dob6FbwR2yMxyzi7vb2v/Q0FDshwB3tisKFsgx/wRYwvVR1isBONOHdviDjGxTogRNkIQ8gXw9CvjMID1oO6AFujgdZ84hA+Zj20F1jallggqNu09bXGnU4lQXGtfPkqcqU9NhGYUUG5GG7OQTIr+j0+KbGf1S/FhWmmj9FG6ZPXxsvPo20/ptMATrR8YjolsYrYVSz/6CiWst6aBBBwEBLtSjJzv6MSBh8Eh4t1bMtCT4izhJ/xYTf5j+5uuv9LAZRvJ0HcXEeryPHy9jzrBV6DOayhBbZF+xqXj37NACKoyGvcWGfxSIAf+jHTs5gz+Fj0fxh9pW2SuxkfcKYWl/Aiyj9nojby8FfbtJV/r3L/w4ar94gSPTJqym8msuZkY9XS36G945KWF2FtYir3rV2JTq0C8NOBu/JD2Hp6a/R9e7gQObfkMX7UKIHlU/6snytPw5uOT8NmxPVi/IhutAp/CgE7kQ6A+lwa9AuNpUSX4qXAHPvvqTjz+wLeY8loy0QwJCvPxY+/hGGE4hx2JW1DY4VE8/dvv8F74OhQJx1BY8ThmzhwJn9bnkDbndczPpbpsOQ7lnsKpvHX4/DD/vbEafV54Ev3uKMc3GzJR3KIjevTqj4e7nsfGvWfQ9t6+GPDQHcj+G70GvTO9xml+Df6bXKP384/Dp83d6Na7BfI3/gvr1x+Bxe83uPPgLhyqoud0QOBLBvz3HWVdWqPPPTsQuWgn+f0TTuz8Hre0Oo7F89aDad6UwX8nafdBv0W/AX3QrnovjB8ux8r1p3DngMEY1r8TbiGz+E9fnoYttCq8/IsDOrF3UZufjPGR1va60GcERvT1wUOP+6Nbi6NI/mQZEjecQqv+D2OYX1c0rX2tCJ1uR4V5yFRs7BYFU5MGStDRFGh+HdTNIRuwNXWgBB1NgptbQOnw9ic+4+dBwrads7Ga1HFNoQ/xOtwadNWridxm6NDR9PAQCDw8PED+8CQdOtwHN/0kSYd7QxdQHW4NXUB1uDV0AdXh1tAFVIdbow4BtaBq5yx4eYxHYjHnNapQheKd6xAf9hjCUk/wNGdQlrchU9xIqMlFvI8Pe8arsjZSXYzt8WHw8olHrt0+gwXVuUsQ6DEJqWWusN4V5c3SxWpgTn0NHl5hiN9e7NxKoalBl5n4H3vUHhNMEf1JvkEIMhYItTxZQm2RUQhi66jeQmjKcZ7qGLR8sIeHWN50gqfqaBT4OzKEJgkFF23fEMkuSxNiAgykzSOFlNO/8FTHYOUDvVh5U9mvPJXiilCWtVwINfgK4aZjdrLQXHDag1qOpuOTLW0QMBhIW7cPR222qj17h2NbmQmh/HddoOX/czAW3vy3jibA2Vz8O/FuTH99DPraequzHMfG2R/i9H19eEIdkMp30/IsfSsMA5/DqBE/I3FTLs7y1OaGEwG9jKOZ6cC85fgoYgiR0A9hzBD9AutwI9zZHl0MZIg/fMqGj/kLTm9cgpX9ZuCtUa4IqLX8LEflLT+h4swlGLq0hxZ1vDngWECr9sE4+1eMf6wveg95CkHIxZpt34rcQEewmJG7aRWiA4PxXupXWBL2AOgulVfYCmSbf+GFOCrykBodzPI9Audip5RPrpG9JAxdaTo7gjFrJ3XCQHSj4gykUF0rbBV2ps4iepIin+l94jk+cTlEazqJ1DAf8RpEN8thnrCLsTMlHmFek5CSm8Hr54XAWdthripk9fGk5b0ikFgoPSnRm7cvIeeI1/YIjEZyrlldn8ApiA7rT/Kp3pmn0rPJWEnwC8y5a0i7eInXaEpdrlU73NPKjJILP6kE1HL6P3h7ZXcsnPSwS9E9lOXb2vs8F0EE9EJJK4wY1IuUuUqg4zz/o0CtUJkeI3iHm4STNfR3uZAe5SfAECOkV9poH2UmIZTpoKXsHAPTSQ1CQJRJKKz6VbhYkET0FpIWZBSKyKm/5sQJZIgnOtNyIavsCtdLrTquqNf6CVE7zpFf/L7ecULOlQLBGEx1I3ItQ6iQkFUm1NbyNH5tUgEhitzLO+6gIGpP1vMP/vKzUGQcJ55P6xeTJpyuuSKcMk1mdZbrc8okhJNrGKLShUpSo4s5CUKwpN/VnhLSY4LI/ScLKf/LFOK8mfwJCJgrpJNzKaTnk/RsC79GgCFcMBZUkhI/Cjlxz2i3Zb1B9ML0uUKg4v4MVC+dFCWYTtG0X8kriiT1caKD0vKRyvKTWHm1DkpRKRQYwwWD7f2aEdoCSiscHiREpZeTBmYJXPiI4MhpHLKA0kmSVC5AiMu5KOYLkmCME4xFP/MXqJgk/ZojxPl4EKHK4UJFQV5q0S5hQ1yoKPBUQGkmLUuFItQklLFyF8nLDrTLtwoozQ/gAkp/S3VRNL5Uf3nSdkIwhXrze4gCTvoT1kbWg39AdvURoXxGC7+eKPBNCS545OMsZJ2IBPrRRQmR8kSmLgHVKu9IQCn4B0fzXZh0NRaaQzydHK1MTEPssI7ikOfRAu2GLQIZwMVhnr4mTXiSEaeDjYuUlmjTnkbTLMeFiy5wLdkQ/wr6RG5BVa8wLF9E7ZeaClJdXITlPI79twIjjEdAXh79ivmRg8WkbVxCzTmU7i1Bq47tXHAdQ5dzJolqgHSEpZJ210JLGEJiURR5FK8NX4Jc2YDtLLI2mfDJmB5owa5xC7zGrCTpKzG2663wic8ld1FCLL9SVf5jkr4SY7xusSlP1JrCNZg8qwpzyj5ACMlvbmgIKJ8cGQtsXko5SG8C85odyKlyKSIWRw0uVlwgo+qjGNCrrld0GcVJ0zAorg0+WPM3hI8aiO6NCOLRaHjeifZdgPy9R2BWKnjVJcgtdqqNW9GyE3o+5o2S7YdRarMKYg8qdB8r2pwcySGgEZS00Ra9nxuD35+Kx6z1xVwH7YaQ5KMgoxy/xq8gPShJjwTpQXF0hp/akpOXt96Tlp9E0iNBelB1eUsx1k+bhzPPP48AQ3NYINnDdl2CfCHrsIBMjp4f0sMm8x48Mf4FeJuTMH9xuvzCLBcrcAaXcKZCqaQXYbNpP8qIHFvMe5C05hACpo/GwLbSFRXlL1Xi/CXyp7zSat1pPoZSMlu0mA9jd955knkBlZo29JdRef6iNZ8IVAdvA0o378Hh6sswZyfjg4QMoGQmHu4Xh9wa/rHgAip4b25Xfz5TJQm4aOmMQaOeAj6di1lL9/JnrkKhaR8udtGKGKeEdE3xGoa0JVggX4MuhqcgVXPzoyGwnyQ1C9gkqeTq3EsC+WqYXkVhVfDpodQjbfPoESmsNc1XpIk6l1jOVwiNmkz0FJpO/p+QKZSR7pjmkYm2tfzatdaJBjmoHnpFXlim56ULWRvoJIb8/725Qmgna1mEGgUT0S+t+iHVmX4SJw3sHkSHNmUJ6XFBZMJmFNKLTon6qFw+QJgXG6V6Ju/5ccJ8RX1E3bZSKEpLECd6NC0gSkjKIRM0Sf+UyhI99DTpttTtRJ6R6eY211C0SaNBdOgwD6UObQsNHZROLoNoG48UYg9eENNkONNBlfr51YFKQJsC4gtSC7eOZgQTUHHyWl/UFiUJkzR2CB2juSZ8jqE5SWo4LGTEvkAGt4sor7zMugsdzQzDEwiN8sCa5HX2a82OwNarE5GwuRventjXyWK4Er/AvDMRy1b3xfTxA671OmhDIA0l0jAWQIaPKp6no1lxsUhIo0ty0nJbk4MP+5J6w1OvBnSbJB1ujSYe4nXoaFroAqrDraELqA63hi6gOtwaagE1pyJM2gN2aOZBYClEYjCnjpGD7tfKxgR0CSOVUtqk63ghMHoVNjGKGofqPrZHMKITU7FT3krU2J+2PbxmYWeV470NizkXmzjNzmrG4AzU1OVtPJNYKNa5aiein0lEsXwLB/n12QF2Ce5iInMeO9+cxOXB+uzWxyX50fb5jt+I61ALqCEEybUFMAbR3d8NmG3ch0q7yT2pQMZqzE6jFIZxMBb9zPZrKW3AYt6OWcP84L/sAkZlVLKVAeFiBmZ1zMRr/kF4JTEfF+kl6H343j6843DwF74PXFuGnKSHkB0xBsP6jOM8UL4/XZmOaCL03nE5+JWWlY7aYzA9fQUVas+rCpzExjefxx/GzcRqbdaFBn7BmWPn8Nse97AGspw5hu9+2wNd5Nai+eV2+Z3VrdloWIpTMHXYC5i5+mrx1x2Akma+64QeXej+u7ptGOrKbwTsr8EIEiKpw7wmFTtO23j/tZzEjs93o08AES50QPs2nErAzAWmY1FRCEz/nIuQ3nwpt3VvjJjxPv4ZdRtWR7yJj3N+FNNxO9p1tKHSehrgF7YIX+YkINAjDYteXoEMqWdkxFzxvyp4dkeI8X2EGByxSigZohCnGQHCVVTjVBHQ5166316Ds/l5uFtF0iX5xYIi/1sx36l/9/qDmshszom79iYy1WUoRg/cy0xKypH/9e0Y1K+9ldZM8os08psCDoS8LxYZ4xBEhuLlX/xXxfwW7ZQGYcKLD/IUESJFLx+GCSEY3tWW6cKJJtiMJRsOOWflkyq19puA2VH+5AtJwuIUiaVzFVFzHIfSffBgz9vJj8soKwWe9FXQ6xzkN7F8ug1qvj+E9CcfRE8qLZQ+WPUAfDtbOwSWH+A4v1EgwyTb+bGC7reOFOKy8gRTuK/goWJ+UwLvYCHI+K1wihMQREIBJQKPJ7+1rT8ZGDEYCia5LZlYCYn4LDHbCbSIzZRYPWW5C7snjgkQIneAky3Yvja1OpV2w5QHKRM7T3wGzUMihjiBimBC6nJiv+I3r4NcRryeXD/jZsEUFSSSY1SMdgdkFpqevlaIC/UTAqZP5/n8+aWdJ3Zfav2wWsixY8jb7gzaHmHC4sVhGunSoUU2qT8cC2hOJRMSL1tzDCpgFZd55aVKcGa71MhakBteeY4jAZUEh5SXmDNcQO0awju2UQJqD/pxzBFGSh9aZboQ/Qw3KWEQ859R5EeNVObXAW6mYiVcUBOQkYKHZLbCGO4xQgy3XJDaQWkiEyR3BI5NUr5YP1dsP27eYmVO0fu9SAQ+j7wBcgpnjxnCTcIpzWegnVKkYCy6RP5v0zYMUv7P5P9a+Y2DgyGewhNtA0IxL8gDaWu24JvqC/jm31/il+mj8XA7W0fuLdGmAx0CbXmhClyqRDklfHp7o3vHurp/iXRCmtfGglA1SWITpLp56vWDWsmvUQ5vDGL+/T3utuZLw5sr8OyBIeOHcOI3bakaVJafAdK2IvMonQWfRdbm2zDcv4NCZfDGiFHPYaDhVnj2fBAjvCX+5wVkr/8Maasnol+bFvBocS+GLUojqtEBfNPh/1DI9NdWuM+/LwxS/aoOYX3C52Q+0B9tPDzQwisIizLMMG/JQZFWWBlpAtSZqm2X8P2h4wh48F6rbqiaINH8E+r8RsL5dTx7IvjPITBkfIb1WzeTB7sFE557QMNK8Hb4DAlGEMzIKyrTtFakM93/klm0YcwA9KpTPbmAnLTt5Gp+mBD8gGPmDJ0gLZsMvyZSd+jy10TPVugTsZKZu9AlrFv8ZyJnpj9uoRabcfMR5nEHz+8k5+dK+SZXvKvwtjKnYVvOBSIw32IHxmJhUCZbNamq+h45nR+Hv0zudoIGmKSI70FcfbGWJ0fZQgxV3ZMv77Xoh4jN8zCsfUvyvG3gP3M1Zvq3If+fiNjYidZ80mmJ+ck839UlPeeooxVuRdegCZgeUIbYcaFYM2ESxvamEwN7ePoMQ2S4L8yxHyPFbv20gvS+qUjDSLwxri6qFmWbr8H82Bwg4CWMH+iCDVF1NpbEZ9Qx+XIBhhAkVewAGbJBhlvy4uhSWCR5mZfI/48ieeZsJFemi/k1ynz6skn+mPv4hZzD02cwng8qw5ptB5Cdsg0dxoch5PnHSa+6DWlp+4HhTj5KJRpgkuLZpj26oAB7888qRjpqQn0YxaoelC7vfQgyZIMM2aihQiw9O2ubJERFJcr57AOhS4HPSPkfO1lZcR32AspMHn5kfE6G1g/guQk08uU4zI8YzBvO3nSC9maj5ycgJiATEZHvcNtxAuY3aBqenfkrYtJXYrq/FNPxMhna2KqoFXSRPzkGz/pPx64u4TB+FAE/yVuGlmkIRXUhUuf9DVs7dEFdRhiq+jqAas1TNbyJUK15qoa3eoAO88/TYX4Ror++H8/9zsB71ViMe/0nNryroTaRoaqS2A4NMEnp7IdR4UDilLexNFt6R0dgyqxGF1vPJDbqjqptGDTy71fmNwFI984mGwzSTJsfdMbM5i9kIhATyZVojcmKXI6CzBDTjVHc3IMedJZITS4UHGyb+6gOQ6gQt2GzYlZZ12ySHqJJszZEFjib/bJDPZFTzeJtlXw6ASKThzLZztqazyx9pXyWJ0KcxJD7BCQIORq+kiSI5RR+jrgZhpKtLk8UpXozExlr24srGtqz+Cu255Lnkx/DpVk8he0EaC6pr3ISbJ8focpvPHQ+aLPgMooTFyJzyCyEO1CJdLgGXUCbGHTf/8stu1HaYzymDe1al5Kvow7oAqrDraF/4DrcGrqA6nBr6AKqw62hC6gOt4aGgFYjNz7QiVe1GwjUoW1iNAKVwQcUARBcRU1uPHw8JjFnW+4FukMkOf1NRdn1OA+ms3j+5yaDxMAC98HEk28kyD6YyDNy31HXG67hEE/33Fcg+mqFarFDa/jN+Ddy4prS/6iECjIKLWgSsoQmqrMRH72p7hHOsy/Ct2XBFOrNE64/XDMBtZjTsXDGxzjDf984oD6MlmLGzGYycrOcxs6FczDzTJNb6LknaDfK/xAoXG9LROHaMiErQdy3NYQuFbYa5wsJmp7rpDg6rEMkByXKbtN0MSj5gRfL2R6RItNc3u/n++QyB0DaNyf3y1ktRAVwv/XU3WJSVt0uDS8WMGY6OydgshAV6qsY4iUW+mDFfr3tc0kHrwflHmyII/mk3qerZZ/3UjnvWMkduRq1ZVlCklQPth+erNoPV+f7CqFxW4WiylIet0q6PvUi+INGu1P/+/xCCpeJ1+MQrxZQmfVODi6gjNQgER8YYzucNIqGUzAV2YESBygb34kbRkYYUZAY7MgSItNcDpCgYJqTwtxPepAQs+Mk+SUGEwigLycuS3Dosoz53vclH5rIQJeDXHEBpeQM0X+p9BGQU8jzB3tIpA5eJ4wT/lFIGebcKoAJhuR/UyK3OGHvX8wS4gK8Zaa7HDxLameW7yeEGr8ld5CeVYoPYBU4sQNRMvTFdmcxAmTHbTeSgFJIQsobQGTUuNg7Ucg9Cn1p9RBQKcCBbLNEmTJ+5BoSU4k0dMRcdZ4qgIBU3lGwAOnlKZlPVrMTaZJkz26y+dCkesv2R5KQuiqgWvWQ0uh9S8XzSTvsqFBFR+CwEVAJNu1u9Sx4fQtonTpoyz7PIDYKiJ04CF4t+iMsfpu2aQDVvbJXIKz3VGyr6ovXls8F6Y3qAco0f0pmmgucab5IyTTvxJnm1KrSlAt0aY828hO0R79B/uRvEUrLjlpjJLGDst1LcObYUTKxUJhK1wlPtB04Gm8EnMLmXUdQTZ7x9P6d2I4BeEJp5VkvULOIAzb1IPfp548RKMHe0v/heGkR0KoD2rWyNa3Rgn270ynRjWJhWvckqXVfhCzehtqyHGw0/h4nZj6FwHm77NjrluJ/YuKgj9Fy+SdYFP4M/LvXPxaZNtOcEnttmOY8MAG256BADuigDNbQ2yYwAGW7/4ZH+NAgLTv0gU/Q+iG8NPtlYOYgtPG4DfdOuYiZWUvxSp87eIH64nZ49aSR3HKQVVAhJhGIvvL9MGbA/ehO80uycbj0Z57rGLTdX3mkce3uznAsoCyIAF2EXoFJS/biLGViT/w/TA33dfJ1/oDS0rO4ZDHj0O48XBJET8uOQZniJ5C9ZIXoukbBNH9TZprTXlVkmg/zk9j4XRH0+mQE0IAOCzcyUwVVsAY7oz6Klug8KAjhhg2YvcDIvBFbzPth2kx6K/MiDGv3f4plISuDnQnAcDOmlv0qCntZMt4YaNBoOFvBJ7/LMjVMUVrCEPQK4qgZzbwEpFLTDDIzz0hajzRm4tJJruechWI9GapzkZyq8BFw5geUZa9C7L+PkXrZtDv3cM2gCgohJl1XoOM8/2PVP5nSL+qhx3OMQoJps5BAZ7skjZq/Hjitwb6WTF55mf1ZnwnhXh7s/9Rc1g58wkJn3+JEhydLTPOU/4lpislThUqHEmfXYeQeYn1d0ZOlmb+4eG0IfV/4JCqAzKA/ETZyFroqyAPRQ63Rf6V08TCELiPP9YNikkQPUe+UVykC5go7tNqKoLYsU25T+1k8XU3ZKsSFWmfs1nakk0W6UiDO1st+pe0eLJdh7U7uzep3QhENjx6hKWq99TqAzgd1CguqCz/DvC19MOeNgQqbJ6KLpsbgbfwFxpBuPE1Hc6BuHfRmBgtc9S6yz5xEmWJiaDEfxPosA156tDNP0dFc0AXUGTx74umFsRh5Zi76UMcIbEUgGDFbfsQTf3kdQ69StLWbGfoQr8OtofegOtwauoDqcGvoAqrDraELqA63xjUXUBbgwNbsotlATSC2IT7sr3zXiP5ORXQgDQhBgz2koqiu7RYaMEEOEKE4vGYhvfIYUiMmIX57saaHP5fhNMiEdFCzlP8xD3SenmIaDWbR7E14lXGNBfQ8Mv4eiT9ExCKDpzQf6KL7Gkz+/edoMXkGRhtawnJ6I6YFvIPzU/ejtvYg5rRYiaF/2YjTDmX0Mor/tR9dNpYp3B3+jCLjOBgmDId/2/sQFB2E8oUvYnJifqOEtGXocmSdvkKuf9HK+pcCTtSeQnpMf1oKhpD52EHdpd+ooMtM/M81QrmQHu3f7HZB4vYj9Rz9I0+h3M5nFHxTcZs12Glo60rhaNFZeVuWgW3FDuZcTZ7EeKajFfeqJ8q2Cka5DgrOKWkj2Rt15W7BuJFSAq22VSr36DcI3EAHvR3t7rF3idu0qMA3X3yKLROm489+PPpETQl2rdwM7xFW78jUe/Fw70MwHTruYKhsC+/enVTDjuXoPqzLexLBCo/InoYnMXlqVyTM+BQ5DWFoGIIRPvQe/sMB2j6O8FE3/jarjYAqAkclfoXU6GB4Un0n8F3sNP/CzWupvhOI+FwygCl0JZ+4HPJSFeenHED2kjB4yeefR3HqLAxl+lJ/cn3bIdCMw6ZZCGTXI/kJmVanrMzHaBi6sjyqK65BLmP5SPfzR+Bf/8qDh2mY/1YdwoYlhRihDCVTfhz5JQZ4d7jT2gicxleSdxzlPMk5LuNo5lbkseFd2ZS3wuA7AP0zPsOG7B942lVAzXFkyW0+l70zGbwNWZ5XGJZIvkHdHbQb5X84k0jNnhHTrE777Rjm1EemgQ4vB4UrivMlJo/M7DGECglZZUKtxGJSRfsgQ5SUT4bRAmO4IniD1ek/5Ygrnf4fy5LYR5zZ44DJJJpy2LD7y2hED4k5L+GEYArzsWerO4JieLcDY4bRZziiVgnqDQdDvAzrEC+aspxllgUe8jsj4G0uRmz5WWRDGSYLplPaTCt3gqoHtQaOcuS03xOt2nWAKmxBq3boyBPo+VuKjAgi54dODcdQL3J+14cxcoQ3yAXxAuVRenbFoyMfIx3mBXV0uFb98cQAyrNsi74TZ4rBG9btw9EfrU7/25KvX+n0v6TvdBQc1AgUoIIUkKEPeno1ra9O5fCuDcc++5sDrfr7wqd1Kx4gTXpntJ5iDCthhB/6tb1d7N3NW7Ep6yzrTdwZmq+0MRB9oDcSUrS7EiLEZled/tcFG0Jxx+7w9S7F3tJzVn2TBqHaWwLv/t3R0W6pxzYogKPh3d1AI+FlI43+d/VYNsS36BNBflPzEsWzuyncs2U5C5xGBOl7l9Xpv9USnK5f2jr9dwSp1y/HBaWAtuyOAWP8ULL9MEr5ZSylh7GjZADGDOiOliyeqOKDsA0KYDmGzHWnnUchgQH9+3i54Du/OdGSfIs+zE4JQf/gAQ7EQ4qx6s6oW0BVTvtpD9mBPGyRaERmMSN72QdIKCGd3cyH0Tc+F78w2xqF0387kwONAAwUl/Kw+xBV3KtQmBSHOd/+ActfH4K2Sqf/WWXiNR06/ddGy15E6AxkknD4lHg+wz0ImBqD8Lx1SMo4DUt1ITYa1yHvlVl4PaCOGTRBncM7mYTllXjhoe6NDaqqCDbBbKdsHTaQ/PNivviOrOWld9ayzxOYFGAA0v6OBUni5NRi/gYZDiKBuBXIl8QUbIq6nPazyQMz7RBNDBAQI5i+SyNlgoQoY7rwXfoixflk4jQvVpivNDnwjhJi5ytNJPjERRV4gZo/2ARd4E7/veR80em/1Y6dHrYTHiXENU/7aGpKpwz0uiahsMqVKY0Y+lEZ8EANbkYckCAcZNeTJjpObOW1oBlsQvmcookzGbV5np8QGkrt9m3L2piQ0EAVaUWkVu6Pm4YPSkOFz35xKTBnJeY3t+946jvp2TdQPmcT3ht6zw0bZPZqwD110GaAp2EYZn00DqdfDkdMamGzzawt5r1YMjmaTJ5WYo4unI3GTSOg9FFb952AFRnT0XHTKqQ1i+e5k9g4ew1qX16JFeG+13hydGNAN/nQ4da4iXpQHdcjdAHV4dbQBVSHW0MXUB1ujfoJKF3fo+YRgUuQ68o2o3I/+6qYdFxN8Ggo/PmouYVI8qP+6Z8hac8gPtfqvc4xLKjOXYKhnl4IjM+ux/KXeF4gpR/GZV01QsrVRvP2oIbRWJYeAwP/6RzkxabuwbUNfVOfOtAgDFuYuUezofobpO48zX/cpKDLTPxPs0DePnVq0sHdXLvKw2wWiHUIrFcdrLHsVTHzmwR0e3a8k+3bmwNuoYOKET/iroLhnGNIddjFtrGvNcRIITOjcvnvmxhUSvkfAgV7mxI50nMYScNAHfhv/VLha1JBelAROZSH6LPd2oPOFUyZy4VQ5s8zSIhJP0X6LEpiMAlRKv+blODwtWAK9eG/A4RFKv+kSUJB5QnZFykM4YKxQKJscP+fQeOE0BdpeR4dgwYmkPJVETHovf4n1oH7DLWma/VcUhAFA+ntXxSCQj8R0ozh7ByxB1W2n3gNZkjH20gZ/UM8IoW1pvlWgg3rvSuFIlMMJ85Yy9mSTFTEHu73U+1zlKZfyxGpaWA/xMtObEUzitMVeYIxNIiZNVhNQqQGkwIXEAHecU42/5CjVbDL8YZkgvQjDxZAfsvWlHSYnGTfoNK1aD3issir59af7P6iScqGuNGCB/2/xCqSzgn6B7u2ZG5CWUwnaTwCZqLhzU0hqLB+IsQxy0jrUO3UyatcJx7l4yJtG1Eg5CGeO9y1CqiijahpCLlGNP1I5TYSg0fQzTzr84uBDzwcfigUPOiEXGf+m7crE9a4zde9gDoZ4vtg5JhH4dXOF+HJ27B46D32bHkpmAH8MbBfe6BtLwyi5h0Z/8auIspEVKBVPzzo095qMlJywblLatmUhNQj8H4yJbFaf5JeFDtXvIrHenZm0QLMZyrwE0mv+f4QTHSGw4MrSOYm5sS12HaU+nu/A+3vvQNpsxchYfsxtBn4KmbUwzLScoay+8l/vAfiwZ53MP/9T496TMyUIFkDSFC00SDeRgNVbdSS+86vL2zP88Sd7TvBkLYECxK24fs2j+KNGb93cYLqvnAioB3Roa5oGJyVTgMCZNOAAFXfI2t7CZEgGshA8ZKaFNReaij6ukhWFsHZ9J7dEbJ0A0wTzmBmUB+0CZwl+oh3EZaLF0Cern5QtBELmkDaKLtZ2uhWdA1ZiAzTsyzQRd82TyO6GVlbVwtO3rIr4VruwdA5nyPdOAzZIzrBo93LyJ5gRHrGm/W0F2oaiGz/OsCilmwB0TsR5ZGMMVNTUOzCkm7DoWijYR1ZG2W9vKqZ2qgtehMh3XWxAKYoD8SOeRvri50FsXB/OGkhG5MMAjFUihIWVJ/aj8+OBmMjs3Upw67F4RjaW7LSkSwqCZi5Qo3NbyoZdGi6SxyKqFlIxRHklpBG5aYmkCNWSKYNkjmJZDpCwM1JPH2GIZJGIdm+C/tP/2Lfo9d8g8S3qU19DVr3/j0iXh4ins/q0MG+DjYQTUfIf6QQMdWF2LJpL8tj5hVUI5RMXGRY22gT0/lpG0Uo2kjxHDKIKkLUFPFZL6Lim29QYvcR2Z5XjdzEeCTnmmEhH+HoiPEg84XrH1QR5X8IlLNQcijtsDUigJRxZV5Okw7Jxt3GZME7NFQYp/gtTwrkyQaZdRvzSC24fbpUznu+YFqrNG0IEObHRVlnseSQ3b6wWJzUJIVcK2oymw3LEUJqi4SNG7OEAmmWTE1WJNMSXgcPuQ5akJ6XzuJDhdCYzULOBj65ohOalHx1+7GVjFKnbUQji1ifQ5oU1ZLHSBIjmKhWKaxQzeLZeUVC0UZSnwJpRYJMbE0FDp7j+oGNgNYXfJlItUTDD00nAzcjnLdRc/qjuhHQOCWIRsGY+j4w51uQDopKOTlqUUm3N707KMIU3sRQtJHYPnob1QeNax5PLwyJjgDmPSD6cGLHg5h6yB9fJr2MPq6EmrzRoWgjiViibKPeuoA6hW7yocOtoX+/OtwauoDqcGvoAqrDraEW0JpcxPtIirzkza2+DHFHEK/j2ejrSBAZ7dLkrPkDCFCHZcqACybXnJdZzMhNjuaOeYPZ9iP3tKTDBagFtKUfpn9F/XteTTSUSS8y2guN4/nvOtBIdro64MJ+TP3hXQRMcxZwgYI6QpuDZydKQSLSEDtmBj7O+ZH90lE37IZ4e/+e7Ykg/IfM8v+DGZJ/9wZBvI5FdR1qV/MpZm5yzeG2PVxlApGP4OP3sKnChR5PE5dxdNtaJJofw8hHu8LTszN8B/fjLCnHe92W04eQdfcMFAsCasvSEEM9zKEQ+cf1PtRVXFMd9Oqw2JuCnV6O/K8P8f9TSB/GIXyd7/jj8uwagLBRfZkLHE/Doxgzsg/5X1/4dm/uoBE3DuoQUKrnDWU6nhg46iSz1Jzo6Smm+byL1L0rePACMTBClXk7ZjE9zQNeYUkoZHqa0gKSXucY0+diXgxj7rxFz7/8+kzXo8G2xIVtr7AVyJaDAUj6MNEBw15CcNinyK9QBAqwQxWKU+fixWFzsUsoweox95FzRd3aYs5GcvR4vBT2B+Z12CtsCbY7ot5xz8v2cNVLManH9lX4IOFWRJniMcn/Lp6uo07QhXr+R4RM8OCseRuGON1bllnx4HGHJJY4S/MVQj9ZLcSxcxQxh/h1rCxxbRa7zIKP2iFUcuf/sl9PBaPdWPSzSPAIE31eOo4RpMVOF1nuHtJ15MAOk4WUk5d5GQVkooxkSWC1AnB8Xwk2BBxDuPCPIxU8T0ddqHuIt2WIk05XZsV7ByDwQaJPtmqHe1iCL0KNX2DFqwHoSc7xID3emQrKZCewu44WJF3PGyMG9kJbqus9RnW9NGSdJb2eitF+u8hof86G0e4KOMtdkDivcmCHVHyyrZT04U0JOpnbhrIcE+JCfck9EvGnvzQ3B/XGQRProI9h1NOiztUwSLoeGY7HdifD8R3oE7GB/C5CadnlhjHa6wVrZAwVyMfVwZuxRW3gjcd6dkJL1fKceKiXvW6FwS8EM1YYEcdccR9EPvngdNSNazpJssdd6N6f2ggZEPSPI4p4mLvIzL8JvW1ygXPZuaxnDwx5npKbbUncA/Ckb0e2PDfjqFRX8aABCuzsEVrfj0AyUfIIGgjfznVZK+igsBNQO9a8BkPcjhV/qRLnWQJ/gfI5GsEUZGix2D3RJ/A5BJCeLG1OPJIK6aSFzMJzD7BFcTWj/TIYo/3fCkY7+58tNNjp6IngyBAYPPZi8/7TpH4VKMjKIWX8xAgf7DwlbodP8AsIN4jRRiyW09j/1V6iTr6AYB9HsZcuozhxPDy9wqzRj6uP4XCeF2IX/oGxmKhbcjahDHwX6WXOJns3McjXzpR3BjvWvFFIsWGImw6uFUI9pAkRnSSsFdaySQgv4x0lxNkFSjDbMc3ZZEOTxV4pFKUlCKFeYllDaIKQJgdUqIPRLk+ClHDETrfanxtCpwvTKaHYECPsqKD2yVpQEo9JfWO3KOzttSDa4LP7svqROtsEh5Ci5klR+XTYQ6fb6XBruJkOqkOHGrqA6nBr6AKqw62hC6gOt4YuoDrcGrqA6nBr6AKqw61hJ6A1ufHwkfeUfRBmOsFz6I7OV0iJD0PXsFQXGfDnsTN6EhKZAysLqna+jWcTCxV73TZpVTsR/Uwiii0nkTqxF68DOW64AAw6XIWDHjQAcTkXIQhHkTzmPjHJ/B+86T8S42auRhnb5HEBlvM49l0n9OhyK/nxC84cO4f7e9ytuKk6jbKVvvttD3Tx7IaQpO/J/U/AFFqnvzodNzBcH+INIUjmAuMyyaK6DEXogXuZL0/KVLodg/oqzUaqcaoI6HMvJYLU4Gz+t7h7UC9Ift906HBdQBsA6vE4PeBB9KR3oaz0qgfg2/kWMZOC8jLTffDgb+4gPy6jrBQiO0iHDo4mElDJNISaU1yGOXUS0x1v8Z+J3Jn+uIXqkbf4Y+bGCPRpScrkrBMDfNG03Jnwv5Xqmm3gP3MpIvr4MtMPnRmgg6KJBJSyxncSnfFjhBhuJ9rAx+T/5UiPjoSx6Gfyf+rNbQ5GGgtQQ8v4P0/UBWWaAKEyHVEjjSiqJXpvSDfX1QgdNzSab4hXTZAu4ftDxxHw4L2wOrwTJ0i/7XEPq4RKHdChg6MZxKFGHOJb9EPEf+ZhWLsWfPhejZn+bUQ1gA3x1JxjJWKHdWTeQazqgGjdqQ/xOiiaQUBbkiH+QzZ8P0OGb2a2IQ/f1ByCD/GqNKIOREnqgD7E67CiYQJ6ptJ5jCOH65tiLoUqTaUO6NBhhesCykJr34cxq0sgpJHZeAvJuRiFchZP05TrmzTKxUl0Vq1v0rRjpICXaAFK10s7P4R+1yB0jQ73hp3JB93q7Ou/GZNyvmxaS8oG4SRSwwIxZu8k5BTOgJ9uCHnTQe+ydLg1HAhoBp9xK8kiVxMSWURUKXTcvNCtOnW4NfQhXodbQxdQHW4NeYjXocMdoeugOtwa+hCvw62hC6gOt4YuoDrcGrqA6nBr6AKqw61Rh4BSu/VZ8PIYz23bbVGF4p3rEB/2GMJSXdkSVZanIWduUDCf9VeReF1djO3xYfDS8h9AQzGmxvNQQYGIz2W+nh1Dszwlob8GD6W36KsFuszE/9iDhmeJoGFeDEKQsUCw9SdcW2QUgiTvxinHeapj0PLBzDuzI2/IOuoN/o4MoUlCgY3HZ6sH5yjBuDFHKHPmEJrAeXnRY3SowVcINx2zk4XmglMBZQLlNVgIGEwqHWQUirRqxeIquSagFL/mxAneuoA2HUj7h3lQN+uiA3UZF7OEOCJsWoKrCUX5I1WOynMX7KEmOa5Vc8PJEH8ZRzPTgXnL8VHEECDtQxgzzvM8HW6DO9uji4EM8YdPie6DGGhs0nmYWRSC5Qv/iL7McYYz0PJ/k8v3a+OgPA+EYejSHnfypOaG45pX7YNx9q8Y/1hf9B7yFIKQizXbviVapBNQ/WXTKkQHBuO91K+wRDOcIUdFHlKjg1m+R+Bc7JTyyTWyl4ShK01nRzBm7aSROGiIxAzmG8orbBV2ps6SQ1yzfEWsIp+4HKI1UbKzj3gNopvl/EquTXS1nSlUv5qElNwMXj8vBM7aDnNVIasPC+/tFYFEFmGEgoYxXMJ1MnIERiM516yuT+AURIf1J/lU78xT6dl0eKImMObcNTyUN71+E+pyLIiaTXynqkPYsGQz0AfImuUn3zMhq8xaRglSfn2Cffkl2fQ5FSACeqGkFUZcTe8vtBvlfxQQwx16h5uEkyzohRg6kEbBSK+06f7lIb6UnSOGSKQRLUxCYdWvLMJGKA1fyFUEcYinkTWWC1llV7heatVxRb3WT4jacY784vf1jhNyrhQIxmAvVlcYQgXS2EItDa9I0yT1g4dK9I47yMMTWs8/+MvPQpFxnHg+rV9MmnC65opwyjSZ1VmujxyKMV2opJE9chKEYGmYrD0lpMcEkftPFlL+l2mNiBIwV0gn51JIzyfp2RZ+jQA5wsiPQk7cM9ptWW8QvTB9rhCouD8FrYOPh68QmpDJ9EhZtyT1Np2yjyYi1tmV8pVCgTFcMNjcrzmhLaAsdmUQi7NpERO48ImxN8U0DpUOKpVT6kSSYIhxMe10UBr6xsfDJuYlDfmyS9gQFyoKPBVQFiKTh8mRdSAaBzPQLt8qoDxOJhNQ+luqixRzk0Cqv6wTK/UsKaYnF0T54B+QXX1EKJ/Rwq8nCnxTgsc6JR9noU3kHFFAle9AfC9eHsrntEKsr315g6pdJPAPjrbhadaozQrNId5yNB0rE9Nkm3UPjxZoN2wRyAAuDvP0NWlCEcdThhS6uhwXVFHaHIAN8a+gT+QWVPUKw/JFATyjKeBqfHkOam363wqMMCqj3tEjB4tJ27gEHim5Vcd2Nu2iBe5TgLU5Pxy6uqTm3bEoijyK14YvQS6LKu0Inmjbzx8j+K+64ag8UWsK12DyrCrMKfsAIV4KP1vNBA0B5ZMjyaZdPqjtuh/Ma3Ygp6qWl3UFNbhYcYGMqo9iQK+6g8kWJ03DoLg2+GDN3xA+aiC6X0tDORYAF8jfewRm5fuvLkGuo9DdtmjZCT0f80bJ9sModSZDDFToqNsgRbsnh4jR+DTRFr2fG4Pfn4rHrPXFsr4oRuRTT5zECIJkQtWeOmpTQyxfVHd5SzHWT5uHM88/jwDD1TERtxFQ+oWswwIyOXp+SA+bzHvwxPgX4G1OwvzF6fILEx9EEfKQoQibTftRRuTYYt6DpDWHEDB9NAbKZsWK8jyMoiqUofkYSsls0WI+jN1550kmD7loh8uoPH/Rms9jcJZu3oPD1Zdhzk7GBwkZQMlMPNwvDrk1/GNRxNy0q78UspGGZ7R0xqBRTwGfzsWspXv5M1eh0LQPF7vUZfEqXVO8hiFtCRbI1yDtnJuCVM3Nj4bAZpLUdgDGvTEAabPjxHCSltPISFqHvFdm4fWAe3ghBUj58dM1yofblGeTpBLtgLvNBfKVMr2KQtRFJD1LvbamzqNHpLDWNF+RJuorYjmicEdNZmEGWdhArnyLupGi/Nq1qtCLVA+9Iino7Lx0IWsDncSQ/783VwjtZC1LwzSaiH5p1Q+pXvmTOGlg9yA6tClLSI8L4iEIT9mEYwwQ5sVGqZ7Je36cMF9RH1G35aEZWZx6cgRECUk5ZIJmFzbSJJwmyrm6ncgzMt3c5hqKNmk02Dqohq5YWyZkJXAdXp608hvy2P003n/swQs8zb68fajHq78OqhLQpoD4gjQWjnU0D5iAipPX+qK2KEmYpLFD6BjNNeFzDM1JUsMhRUK+iPLKy6y70NHMMDyB0CgPrEleZ7/W7AhsvToRCZu74e2JfbUmIhr4BeadiVi2ui+mjx9wrddBGwK+7MGGCHoEkOGjiufpaFZcLBLS6JKctNzW5KDvdpJVveGpVwO6TZIOt0YTD/E6dDQtdAHV4dbQBVSHW0MXUB1uDbWAMie10j6wIzMPAkshEoM5dYwcPvG5oGw2BpXJAD28EBi9CpsYRY1DdR/bIxjRianYKW8lauxP2x5es7CzysHeBjeHEOl7tC6pKHa6b00hhmh8xi5EI8skcJCv3AFWpSlDQnKorkny37TJbxKoTWyux2mwWkBpNLnaAhiD6O7vBsw27kOl3VORl5OxGrPTKIVhHPMrf3SGHyhtwGLejlnD/OC/7AJGZVSylQHhYgZmdczEa/5BeCUxHxfpJVjUOnFvH95xOPgL33euLUNO0kPIjhiDYX3GcR4o35+uTEc0EXrvuBz8SstKR+0xmJ6+goqftISOEnE/wK4BC3FCuIKy9EggdgwCpm3Eaa3iMtQRSOxdmNP8crv8zorWVKVpuDi/Gi7QLcUpmDrsBcxcfZanXH9QNCkHI0iIpA7zmlTsOH2F/V+G5SR2fL4bfQKIcKED2rfhbA7LcWycPR2LikJg+udchPTmS7mte2PEjPfxz6jbsDriTXyc86OYjtvRrmMb/n8OTwP8whbhy5wEBHqkYdHLK5Ah9YyMmCv+VwXP7ggxvo8QgwarpOq/2N1xCuYP7YoWuBWGoZMxhxJeEtOQddYZs8o2RGOeTYhGkl8s2IdwlF1cWawuzmna2SP4+m6li3NFPv1J8ner8psGnr3DsTknDt789/UIBy3SF4uMcQgiQ/HyL/6rYn5TKt4nWwZhwosP8hQRIkUvH4YJIRje1bYn4EQTbMaSDYecs/JJlVr7TcDsKH/yhSRhcYqVpVNvtA3AG2HKnZL26DeIXLcuSCEae95OfmiEaHSQb3XBpo4LVVN2HFVP3o/OYiaBNZ/WjeU/oczXIYMMk2znxwq63zpSiMvKE0zhvoKHivlNCbyDhSDjt8IptmskEX8pEXg8+a1t/cnAiMFEDZKvZ0smVkIizErMdgItYjMlVk9ZXo/dE05YVhgAitwBTrZg+9rU6lTaDVMepEzsPPEZNA9KDMkQyRSa+eQInSfEOs2vg4TB20AsT9r+xH4FYYU/g0xiEX/Lz2fcLJiigsSyKka8PRnm04N0t0hBGg+YLESF+lrvwXeuvNh9KbFktZDTTAx7xwKaU8lZ2DbmGFTAKi7zbU1JQDmzXXoALcgNpzzHkYBKgkPKSy9N9XIUh3es6wLKWDyjybP9yBO0QD+OOcJI6UOrTBein1FatIr5zyjyo0baWLyq0uhHHcmsCWRo5l9iWXWCM5GshA1uQiJ/dNSMJUaI4eQRqR2pScuB06KJTZDckYjs+CAbkxYPaupxTG3SQlQ9dj3xfi8Sgc8T6Ea2ZB5iCDcJp5Rt0ERwovR4khEyFPOCPJC2Zgu+qb6Ab/79JX6ZPhoPt7MGNBTREm060CHQlheqwKVKlFPCp7c3unesi4UskU7I92ljQaiaJLEJUt08dRG/4PTGT7H3+XmY5KcMCW4LjRCNTypDNKpjQLF8mxCOqgmQSh0QoZnPIj67AM8eGPL8EE4cpy1dg8rzZ4C0rcg8SlcBziJr820Y7qe0HPDGiFHPYaDXrfDs+SBGeEv80QvI3vA50lZPRL82LeDR4l4MW5QGwXwAWSV9MKMwB0RIgfv6o59EUGYGdp+T+UR/onN7oIVXEBZlmGHekoOiOldHGgAqpfwPh9SDUroc/RqnkKHWT4jasFqIMoh2ReS7tOlByZfEvkzFkGwDa/4Onu+sByW9SrQ/ub6CRqY1xLsM2lMsFUJj0pxzMN19iOeQDQtp25DeeFbUImGR1KuS3zEx6UIFNxxTqjAsiY9krB2Z0aGPY7VMGvU415VCvLckB80PxXevhVvRNWgCpgeUIXZcKNZMmISxva09gRKePsMQGe4Lc+zHSLFbz6sgvW8q0jASb4yri6pF2eZrMD82Bwh4CeMHumBDVJ2NJfEZDidfltNfYuGmfnhv/ggYnD2xIQRJFTs0QjReIv8/iuSZs60hHGuU+TyE45gnEZJ8QJFmjehMBABC8mzMpPmaUaBpvjPzDis8fQbj+aAyrNl2ANkp23DX+DCEsF51G9LS9gPDH1CsKDgBN2nJq4dJi2eb9uiCAuzNPwvrsi95Z8WHXVhfrj/sXxczefiR8TkZWj+A5yYMIf8Zh/kRg7lw2ZtO0OWe0fMTEBOQiYjId7jtOAFbKJ+GZ2f+ipj0lZjufxcrzsw1ytmqqBV0kT85Bs/6T8euLuEwfhQBP8npgJZpCEV1IVLn/Q1bO3QRl2xsQNdm535QhdCZw2ThpGlvE4GuFH+qoLk+2dl+/dLR+qY6Tb1eymCXb1UnXIY8zC9C9Nf349mHDPChvgvMsRj3+k8Y7t/BJtap2sSGqlpiO3bGoOeeAhLfcd2kpbMfRoWTU6a8jaVZ3M6++ghMmdXoUqeDiAaAdqP8j3WmzQ86DLDRlw4bkVwJ1pisyOUoyAwv3RjFzT3oQWd51ORCMfDb3Ed1GEKFuA2bFbNCW56p1qE15NBZqEmIYuYjjsurZvHkHNsJUhRR/stkO2trPrP0lfJZHgdNU06AoqNkNYiB5FsnXXSCpM6XVCEEJAgHHbqgkcqJfpJYXewmT9KzSc9MnvGLL6wTH3KI783BLF4a3qXzQ1Osz3kVZ/E6H9QtcRnFiQuROSQG4b1dnDzdoNAF1M1gMefiyy27UdpjPKYN7Vq/of8GhC6gOtwaN/sHqsPNoQuoDreGLqA63Bq6gOpwazgQUCtjnO0WuMAof/NZ+/xn68tIl/PVqMmNh4/HJJjKZN5+80EKSMAY+MGITi0USdZXHZQNn8icAcuBD6iT3l696hWAQmq7VLMLngWvKujuk+SQ2JEHP4cCqt7hUO2uMGjk32+fLxEqXDpfla9GS78ZOCp8jDHN7u7vPHbOfwlh5WEorD2F9BggdspqZFcqbTmuDmpyP8HI4RGIzVB4C2nphxnff4/kkG48oW5IbadJ6L6WoJ7ypr6IcTNXOxROCgciYWWUeygZ4zxXmU+3PcV8nzrynZ2fZ5N/jVD1LdLWVIgurj27YujCbRDKFmKYHXur+UEFq+Bgc7DhK5Abv6D5etTqbMRHb3IqdAyefRG+LQumUOdPqC2gDWCUP6GVzyhkrjPSrzl+qsAZ8428Hkz9Ky3FjJnNFKPKcho7F76NmWeacMShC/X8j/M9clfoZo3N1yI70739DXFCqCGSu5yW4vWQcwyhwvtbjEJMgjYFr7YsU0hgTHB+D4e+1bX2+7mHvtoyISdJwS2Q/RNxuiBNYz6RuP8i5bly3YOE6VEviq4NFdQ1e1QKRaYYfi/pHMlTIMlLXyvEhQ5WtJPYFmFethRB0pbU7aOy7cp+4tRJazkVh0KB2rIsIUli3/O99oOKdpPyPVi+rxAat1UoqiwVLTDk64v1Zu8gjMba4umqd1C3O0e1gDJoECZUjHEH+bKfdA1CRR3nqxnrSiiEAJFCChVQFSteDCIwknIbxRMU4OYdkokJrQcRasaD5CXswPigyg+FssdHCh5So0pBFGS/mpTswYM8sIvSZ5N89JtZ3cUXFiTEpJ8Sn9cheEAHKdgCu1cwOVd80Vbih7V+MmEk5X/k2mJdrUQYdduJhBR7Hq8daLykQB8WZEIVUCEgQcihrHsWT8mPM+pFRn6AzNslAhfmoxA48R3IZkOKdyB+GHULqMYQr57A1Ngxxmm+lUIm5f9GVtNcOd8mX8VYV6I1/GZ8CdLQ/DcB8/Kbhc3rv0QuUXQMQ9/Bf2b4wX4KcDt6h68nOuSbuDdnA+KnTkNsnYqRDRh7/BBGvDxedHlN9dI3oxFl2IyoZTuJnmVrmar00S/W/WBcIPn/b+DfrzN7XoeoysQHU1LRf/5MTOxLtHFyryfGDJd1UKqTFubEkRk5T6Cz4FNHkYd70K87nYy2h99L4QjFIXydX06kUqPt6oQFVdkbsSTjd5gw8XFGT/Q0DMObcybC6+sV+CDtOMxpiZhZFISwsfejDblra783sIv67B+q4bmZvwNLI96Bus2YQ4U70CdiJQugQPfob/GfidyZ/riFxgCKm8/zP7bLv1WVL55PAzBon6++fo6U78ryScteeC52Ipleh8Lf6zZ4hSVguwNyrcW8F0vChiJyWxV6vfYuFtVzxkE/HpO5Fbq0v9PaUG17YdAIb3js/R/KGjTPqCHN/Bp7dvkIS8Up8zH81/ZeTuGJtgNHY3rASWzOOEKmnb/g9P6d2I4BNham9QG1Nt0Ps6AwJ6f3YQEVSrG39H84Xkpmt606oF0r12rJ3sHEYQ1+B+q7UIcKEmNcYpTL7G8ro5wMyTaMc3W+6nyX8jlj3aXlk7boHbIQu6iTh42fYMKJeAQFvGfvWcRSiKSJ4xDXchb+uehVjPLvrtHLOkdLr554DCXYnv29la3Pfdh3GfM79GrQyg11RPEReV6mXolHcgjubUuZ6lo2XaIzYE20fggvzZkAj6hH0MbjNtw75SJmZi3FRAdWD3Xjdnj17AN45CCroIKnkUdmfvwHYMyA+9Gd5pdk43CpC15QpHfQ4s0GvwO7z0C1JqnBGFeteTrKr+t823wFY90xOHu/JhdLJq1A9tm74TcqDK9PHePUTMJcehxnLl2G+dAB5Gkx8hWwC6hgGIrX40biTGwsFqQWsl7KnLEOa9IGYDozXeHGgiUZ2HW4gvUWyz5IJiKdgZn+z9YdWVgJxlS/G2mzF2EpjfBGZsS7TTvItXLJaPOIYnSx1s9S/E9MHGbGlFO/iIJelow3Bho0emCF5QMD+V2WqWEmQz6eoHDEBpgROy8BqXRk4gEV0p6k5jed0HlQEMINGzB7gRFZZXyNtjoXyakK/wVnfkBZ9irEp4seTc6UnrB/B1Q7VgWsYEXtQR6MKdIiNCYwEUoFVsxXmdyqGOX257uU73BWq1T0ubJ/Yr+wNMEkZEoO/6Woc/wMK8QJFJsR09n+vkxhA5llapfXmMVLEx8WXCDMOvu18TIsTyLYbDdF+C59keBNyhjTc4R0eZJEDycTEw7V7JlMlj5cOV281sYc4USWDTueTJSs95bSxUM0Mf7Bru3oJFOKpOd4RYPWQ7n6YTuLp5YKW4U4xeqIFKVPnOjRlQJyDptk8Uh4NKgFbff91nfw/h6TQIZ7+RqOVjd0Puh1CzJJKvwM87b0wew3BpIJiwSii6bG4G38BcZ67Di5K+xHAx3XB1hQrXeRfeYUyhTjo8V8EOuzDHjp0RvDkY4uoNcrPHvi6YWxGHnmHfRt24KvCAQjZsuPeOIvr2PoVYoE19zQh3gdbg29B9Xh1tAFVIdbQxdQHW4NXUB1uDWuuYBSRwWbEqMR6BOP3Ga3SqBmBtsQH/ZXTtilv1MRHUgDQogBFoocbmlwUPMUOUCE4vCahfTKY0iNmIT47cWoxx6SDie4xgJ6Hhl/j8QfImKRwVOaD3Rhew0m//5ztJg8A6MNLWE5vRHTAt7B+an7UVt7EHNarMTQvzgLsHAZxf/ajy4by0Rvdez4GUXGcTBMGA7/tvchKDoI5QtfxOTEfF1ImwJ0mYn/uUbgvkBlTmXzQNzio35PJe/Ktp6JSZkioxDsNLR1pXC06Kx6m5TxUwezc6SdOnELsi5PzjpcgRvooLej3T020T6aHBX45otPsWXCdPxZ8q5cU4JdKzfDe4SVi0q9Dw/3PgTToePQ1jbawrt3J9WwYzm6D+vynkSwwuWhp+FJTJ7aFQkzPkVOXSqDDqewEVBF4KfEr5AaHcw4nR6B72Kn+Rduwkp1rkCRqaMIyOUTl0NequL8lAPIXsLNd9n551GcOgtDPWn5/uT6tkOgGYdNsxDIrkfyEzKtTlXtgnGtQS6LjS7dzx+Bf/0rDx6mYZ5cdQgblhSKxnA8CeXHkV9igHcHBf+yZSf0fMwbJXnHUc6TnOMyjmZuRR4b3pVNeSsMvgPQP+MzbMj+gafpaBBoN8r/WH1TkkNiqIhpVqf7YmAFyU6GQKbxHxSuKM6XHO/L7BmJRUQjczBGizLaR6A1nwyjBcZwRfAGx077j2XFCT6UKSOzZ1iN7EDNJXyUdaawM++gsDVZqAOK4d0OzL8mfYYjapVAR72g6kGtgZ+4032DrdN9pUkDR6t26MgT6PlbiowIIueHTg3HUOq0v+vDGDnCG+SCeIFyFT274tGRj5EO84I6Olyr/nhiAOUytkXfiTPF4A3r9uHoj46d9pf0nc5Nc1vhPv++Dtx7SwEZ+qCnV0OJvNpQDu/aMCOvqEyfLDUCmq+0MRB9mDcSUrS7EiLEzBRCDLlIPijrUbYQQ+sVmc2GtNuxO3y9qRnDOau+WXMOpXtL4N2/OzraxRO19c7haHjX0ZRwz5blTGvDmAHoe1djnfZLvX45LigFtGV3DBjjh5Lth1HKL2MpPYwdJdS0oTtasniiig/C1juH5Rgy153GhOAHrHqtHQzoL4U71NEg1C2gKqf7tIfsQIbUImzedQTVFjOyl32AhBLS2c18GH3jc/GLrdmEHa1fIwADxaU87D5EAy9UoTApDnO+/QOWvz4EbZvAaX/LXkToDGSidfiUeD7DPQiYGoPwvHVIyjgNS3UhNhrXIe+VWXg9QMtCUY06h3cyCcsr8cJD3UXrVR0NBOkd5EmSndP9tWuJoq9wCkAnD7K9NvkdECOYvksjZYKEKGO6aO4gn08mTvNihflKWr93lBA7X2mGwCcuqsAL1MTAJuiCA6f94uRHupbthEcJcc3TPhqawgkEu65JKHQSuMAKMfSjo5hQZPbEJpMGORCCZLpSt9mHDjVuGj4oDT0z+8WlwJyVLPpxs/Zq1D/Rs2+gfM4mvDf0ngaaAOuguGlGH+qAYNZH43D65XDEMAvN5gGzA58cTSZPKzFHF85G4yZSjzzRuu8ErMiYjo6bViGtWby7ncTG2WtQ+/JKrAj31SdHTQDd5EOHW0OfYOpwa+gCqsOtoQuoDreGnYBaGUv08EGY6QRJlZjo/Xm6GFyg7pnweeyMnoREFp7bJrACQ2ODLTjIrz2J1DAfXldy+MQj5yrEX9DR9HDQgwYgLucimTjRGOj3AdU5+HhBDga8lwuBBRfwQOyYcZiWelwUDEfQCD0tBVYQoU6zD6ag9iWqnW/1VSrld/bshpDko6T+J+r0ga7DvSG/ascgvVT2YXR866+itwrmxDUKUYZ8JG7Khei/zAGqy1CEHriXbUmWI//r2zGoLycMMzQ22ALJLxbsz9cXH28YuCCgnmg79FWEKX1OcieudUHlXZkyhaoegG9nRSiZxgZbcJCvy+cNBLoOyv8wiPvxNuReWzCirjcnFFNw0jHba/7Z3pWh6iBlDq5t3mAMNIAAA/eB7h0nHNSKFqDD7dEgAWUse8mpvkNQY7hI7tDf6hdUjrVgm0aZ+fUKtiDmq3yVqs6n0AX0eocLQ7wNLMexccm3eP6jCPg5o7upJkjU9/lxBDx4L6whsTSCKdQr2IJ6gmV/vo4bAlRK+R8G5z0opa1NFmLST4q9lia0Yg4pD32I1+E66iGg1L3zfGFO+inFMO0ILgy/qjQab0hSBzg08y+xLAYpn1VG43wGXUCvd7g4INIQeh/gg4pRiBralQ/TNG0J4neeZ7/UUA+/9uuXNmkNCLZgXfOkP+zP13FjQCEyjlCF4tS5eHHYTMRG9EcbeZfpNngtbofnmHlENXLjh5I0ybBMuX5pQfWpk+isWr+kacdIAW6vQ9dLOz+EfrLxmaN8SYNV5NM1JbvzddwosKPb0a3Ovv6bMSnnS8zwY+JxHYNueQZizN5JOFgwA/7NHc1bR5ND73J0uDUcCCgNRNWGDNkSWeR6g0QWuQ9jVpfwNB3XI3RGvQ63hj7E63Br6AKqw60hD/E6dLgjdB1Uh1tDH+J1uDV0AdXh1tAFVIdbQxdQHW4NXUB1uDV0AdXh1qhDQKljhFnw8hjPnS/YQhF2JtWVPXtl+ZM87QZETS7ifXzYM16VxTsepsdLK5ykxYzc1HgeooeHD3IGzfI1MKe+Bg+vsKsf5pGug/I/9qAhYyL6k3wpJIwa1rA1SjMLxxAjuVGPzaS8Q2/IOuoF/o4MoUlCgY0RoxSyBwFRgnFjjsMwPRKcl5e8UfsK4aZjTkx+mhZOBZQJlNdgIWAwqbQiZKAKZSYh1EUBpRBNSnQBbTKweE8aJjoXs4Q4Gk9KQ3A1oSh/xKEbdG5C42ocqSaAkyGehllJB+Ytx0cRQ4C0D2HM0DLv0HFNcWd7dLELEFGB3I/nYWZRCJYv/CP61hlsgpb/m1y+XxsH5aXoK13a406e1NxwXPOqfTDO/hXjH+uL3kOeQhBysWbbt0SLdAKqv2xahejAYLyX+hWWhD1A9BgPeIWtQDYLXahARR4LtUjzPQLnslCLDDRyyBIp7CE9gjFr52nS+NSBWQZSqK4Vtgo7U6WwiTyf6X3iOWJYRoUDMcl5GNHVdqZQ/WoSUnIzeP28EDhrO8xVhdbQj14RSCyUnpTozduXcJ2MHIHRSM6l0UgU9QmcgmjmWI3qnXkqPZsOT8x+K3cND/tNr9+EulyrdrinlRRojYOFftwM9AGyZvnJ90zI4lFSbEHKr0+wL78kmz6nAkRAL5S0UoeUbG7QbpT/UYBaZcYI3uEm4aRsNemnCF+ogDzEl7JzDEwnlSJm/CpcLEgSo2hwFUEc4tWhFoPlsIeiWhEEPyFqxznyi9+XRkK+UiAYg71YXa1hFXmapH5QS08ellGMpWE9/+AvNDLHOPF8Wr+YNOF0DbVUnczqLNeHh24UI3jUChdzEoRgaZhkEU6CyP0nCyn/yxTipAgmAXOFdHIuhfR8kp5t4dcIMIQLxgIaE4RHWdZqy3qD6IXpc4VAxf0paB18PHyF0IRMpkfKuiWpt+mUtZwEsc6ulBfDVBps7tec0BZQFk8zSBFiWhRYAxUcRdhpBpUOKpVT6kSSYIxjZsF2OiiNaenjQYQqhwsVBXmpRbuEDXGhosBTAaWZLP4l+S3rQNzljk2+VUB5+BfZ7FiqiyIcjFR/WSdW6lmigHswgVMe/AOyq48I5TNa+PUch6xpKLj/AfJxFtrYgYsCqnwH4nvxsotNKkKsr315g6pdJPAPjrbh6ea35dYc4i1H07EyMQ2xwzqKQ55HC7QbtghkABeHefqaNKERyxMt0aY9DXZlE+nNEdgQ/wr6RG5BVa8wLF8UwDOaAlJdXAQ1Z/5vBUYYj4B0LPQr5kcOFpO2cQk8vGKrju1s2kULdDlnkjjESkdYKml3LbSEISQWRZFH8drwJch1GnXPE237+WME/1U3HJUnak3hGkyeVYU5ZR8gxKv5rRA1BJRPjowFNi+lHKQ3gXnNDuRUWYMS1g0eWc7wKAb0qusVXUZx0jQMimuDD9b8DeGjBqK7IvrgVQeLGQrk7z1iDQ1OUV2C3GKn2rgVUohvRchFx6BC97GizcmRHAIyijhAW/R+bgx+fyoes9YXy/qiVmQ9C4sASCZU7aknQTXE8kV1l7cUY/20eTjz/PMIoK44rwJsBJR+IeuwgEyOnh/SwybzHjwx/gV4m5Mwf3G6/MLEB1GEPmQowmbTfpQRObaY9yBpzSEETB+NgbLduqL8pUqcV4RaZDAfQymZLVrMh7E77zzJvIDKS9arW3EZlecvWvOJQHXwNqB08x4crr4Mc3YyPkjIoHEa8XC/OOTW2IdhtKu/KnRjZwwa9RTw6VzMWrqXP3MVCk37cLFLXSbZ0jXFaxjSlmCBfA3SzrkpSNXc/GgIbCZJbQdg3BsDkDY7Dkl0smc5jYwkJ2EeSfnx0zXKh9uUZ5OkEvW9mhvkK2V6FYWoi0h6lnptTZ1Hj0hhrWm+Ik3UV8RyROGOmsxDG1qVb1E3UpRnoRal31R3zBGuSAo6Oy9dyNpAJzHk/+/NFUI7Wcsi1CiYiH5p1Q+pXvmTOGlg9yA6tClLSI8L4qEVT4n6qFw+QJgXG6V6Ju/5cTahG6luWykUpSXwcInkCIgSknLIBE3SP6WyRA89TZRzdTuRZ2S6uc01FG3SaLB1UA1dsbZMyErgOrxtmEfmPpO28Ugh9uAFnmZfvshu/fTqr4OqBLQpIL4gjYVjHc0DJqDi5LW+qC1KEiZp7BA6RnNN+BxDc5LUcFjIiH2BDG4XUV55mXUXOpoZhicQGuWBNcnr7NeaHYGtVyciYXM3vD2xr9ZERAPUF1cilq3ui+njB1zrddCGwNbtYgAZPqp4no5mBY8GbZCW25oc9N1Osqo3PPVqQDea0+HWaOIhXoeOpoUuoDrcGrqA6nBrqAXUnIoweZvNEYuewFKIxGDOzCGHT3wu5EiDKkY2PbwQGL0KmxgDiEN1H9sjGNGJqdgp79RobP/ZHl6zsLPKwdJxtYKlxOqSimKn24IUDQ3ByDJFqNKUISE5VNck+W/a5DcJ1BYM1+MsQy2ghhAk1xbAGEQ31zZgtnEfKu2eirycjNWYnUZ3iMfBWPQzjs7wA92VtZi3Y9YwP/gvu4BRGZVs4iVczMCsjpl4zT8IryTm4yK9BL0P3zqFdxwO/sK39WrLkJP0ELIjxmBYn3GcZse3/yrTEU2E3jsuB2SiKpZn5xyD6ekrqPhJQ+gsx5G60AREbIBFuIKy9EggdgqmKrYFtaGOMGLvwpzma4VgFHMp6nJRrrpmM7kwtxSnYOqwFzBztdN4gG4NRZNysP1ncc/cvCYVO05fYf+XYTmJHZ/vRp8AIlzogPZt+GY5DU8zezoWFYXA9M+5COnNV8pa98aIGe/jn1G3YXXEm/g450cxHbejXcc2/P8cngb4hS3ClzkJCPRIw6KXVyBD6hkZ71H8rwqe3RFifB8hBo1Ne5q38C1el1thGBqOqaF3i3lO0dgQjBa1i/KzR/D13U5cnJP83ar8poFn73BszomDN/99PcJBi/TFImMcgshQvPyL/6qItZTp9MmWQZjw4oM8RYTIgMqHYUIIhne17Qn4Pj42Y8mGQ85Jz6RKrf0mYHaUP/lCkrA4pa7erh6o+h5Ze59EZHBPRw8uotEhGNVxoWrKjqPqyfvRWcwksObTerD8J5T5OmSQYZItrFtBt7NGCnFZeYIp3FfwUBFrKT9ysBBk/FY4xRblJV4l5VmOJ7+1jesYGO+SqEHy9Wy5mkpIfESJOEygxRulvNUpy11YnKb80nTBGDXSrn7i1izfy2bbhtSoT9psUB6kTJ3xmTLEvWrNfHKEzhNinebXscfN20AsT9r+xH4FH4A/g8wREH/Lz2fcLJiigsSyKsKxPdfg04N0MV7ByQ2YLESF+lrvwTcGvNh96b79aiGnmQjMjgU0p5KTXG3Y7lTAKi7zXSNJQKVYnfwBtCA3nPIcRwIqCQ4pL7001ctRHN6xdQoovZaVpFKXVSL9OBoZglEzxlM9YkA5Ayd6WPfDOUNfNmqkVgIxQgzfm5fakVoMHDgtWjAEyR2JSD4OsrEY8KBM+mNqiwGi6rHrifd7kQh8nkD3CSX2vSHcJJxStkETwclI54m2AaGYF+SBtDVb8E31BXzz7y/xy/TReLidNaChiJZo04EOgba0OwUuVaKc8um8vdG9Y10kT2lPn3yfNgZaqkkSmyDVTQNu6TcD31sqUZS+FnGkC0yM2oBvHHKnGx+CUTUBUqkDIjTzWcRnF+DZA0OeH8J5ubSla1B5/gyQthWZR+kqwFlkbb4Nw/2UxGxvjBj1HAZ63QrPng9ihLdEz7uA7A2fI231RPRr0wIeLe7FsEVpEMwHkFXSBzMKc0CEFLivP/pJ/E9mv/Q5mU/0Jzq3B1p4BWFRhhnmLTkoqnN1pAGgUsr/cEg9KGUj0a9xChlq/YSoDauFKINotkG+S5selHxJ7MtUDMk2sObv4PnOelDSq0T7k+srWDpaQ3y9oWHyoYS7D/Ecst0WbRvSG8+KWiQsknpV8jsmJl2o4HY5ShWGJfGRjLUjs+nycayWSaMepxJSiPeW5KD5ofjutXArugZNwPSAMsSOC8WaCZMwVhk3XgFPn2GIDPeFOfZjpNit51WQ3jcVaRiJN8bVxYShZN41mB+bAwS8hPEDXTDRqM7GkviMOiZfFLeiSw8fGIIGwrezRi9uCEFSxQ6Q4RdkuCRfLV0KiwQZfsn/jyJ55mwkV6aL+TXK/J/F/DFPIiT5gCKtFkQdAFEXROuE5NmYSfOj7fNrWL4z9rwVnj6D8XxQGdZsO4DslG24a3wYQlivug1pafuB4Q8oVhScgFsM5NXDYsCzTXt0QQH25p+FddmXvLPiwy6sL9cf9gLKGOU/MrocQ+sH8NyEIeQ/4zA/YjAXLntmOl3SGT0/ATEBmYiIfIeb5hIwtyzT8OzMXxGTvhLT/e9ixRkbvpytilpBF/mTY/Cs/3Ts6hIOozKishbznoIuxM/7G7Z26CIu2TiBxZyO9+Z9i4nRwfBx8Glqrk/WJwSjKk29Xspgl29VJ1yGPMwvQvTX9+PZhwzwoabh5liMe/0nDPfvoFhRoFBbMFBVS2zHzhj03FNE53nHdYuBzn4YFU5OmfI2lmZxM+bqIzBlVqNLnfb3DQDtRvkf60ybH3QYYKMvHTYiuRKsMVmRy1GQGV66MYqz6elBZ3mU0a4Y+G3uozoMoULchs2KWWFd0ZPp4WDIoZMRmcVOJwpxgsmGLqYcAkmPRk5RT5CiiPJfJpuxWvOZIaWUz/I4aJpyAhQdpVYnSL510kUnSOp8SRVCQIJw0KGHD6mcOOFjdbGbPEnPJj0/ecYvvrBOfMghvjcHs3hpeJfOD02xPudVnMXrdDu3xGUUJy5E5pAYhPd2cfJ0g0IXUDeDxZyLL7fsRmmP8Zg2tGv9hv4bELqA6nBr3OwfqA43hy6gOtwauoDqcGvoAqrDraELqA63hgMBtZo0sO0sF0we3nzWPv/Z+ppMyPlq1OTGw8djEkxlsmFJ80EKSMBMRIIRnVooWgFcdVBzjUTmDFgOfECd9PbqVa8AFFLbpZpd8Cx4VUG3RyWHxI48+DkUUPUWnGr7j0Ej/377fInx49L5qnw1KBvpqPAxxjS7u7/z2Dn/JYSVh6Gw9hTSY6iFyGpkVyqNja4OanI/wcjhEYjNUHgLaemHGd9/j+SQbjyhbkhtp2lxcC1BPeVNfRHjZq52KJwUDkTCavLgoTRp4LnKfLovL+b71JHv7Pw8m/xrhKpvkbamQnRx7dkVQxdug1C2EMPs6IXNDypYBQebw1yjArnxC5qvR63ORnz0JqdCx+DZF+HbsmAKdf6E2gLaAJOHJ7TyGcfRdZOJa46fKnDGfCNvWFD/SksxY2YzxaiynMbOhW9j5pkmHHHoThL/45zE4QofsrH5Wmx8Sj7ZECeEGiK5y2kpXg85xxAqvL/FKMQkaHNEa8syhQRmqsDv4dC3uhYhhXvoqy0TcpIU5BfZPxHns9I05hOJ+y9SnivXPUiYHvWi6NpQwa20R6VQZIrh95LOkTwFkrz0tUJc6GBFO4ltEeZly2ElbUndPirbruwnzu21llORfBSoLcsSkiTzEE4GOahoNynfg+X7CqFxW4WiylLRREi+vlhv9g7CaKwtnq56B3W7c1QLKIMGo0dl0uAgX/aTrsH4qeN8tUmFEgohQKSQQgWUsXZGk4f/keSLQQRGUvKteIICnJws2UDRehChZkRdXsIOjLCs/FCoecNIwUNqVCmIguxXk7KReJAHdlH6bJKPfjOru/jCgoSY9FPi8zoED+ggBVtg9wom54ov2spMstZPZjSl/I9cW6yrldmlbjuRMWVPNLcDjZcU6MOCTKgCKgQkCDnULITFU/LjJh+Sv3qJWE4ELsxHIXDiO5Dt2hTvQPww6hZQjSFePYGpsTNpoPlWjqOU/xtZTXPlfJt8lUmFEq3hN+NLkIbmvwmYl98sbF7/JXKJomMY+g7+M8MP9lOA29E7fD3RId/EvTkbED91GmLrVIxswMwbDmHEy+NFl9dUL30zGlGGzYhatpPoWbam00of/WLdD8YFkv//Bv79OrPndYiqTHwwJRX958/ExL5EGyf3emLMcFkHpTppYU4cmZHzBDoLPnUUebgH/brTyWh7+L0UjlAcwtf55UQqNdquTlhQlb0RSzJ+hwkTH4eBVNjTMAxvzpkIr69X4IO04zCnJWJmURDCxt6PNuSurf3ewC7qs3+ohudm/g4sjXgH6jZjHj/uQJ+IlSyAAiWR3OI/E7kz/XELjQEUN5/nf2yXf6sqXzyfevPQPl99/Rwp35Xlk5a98FzsRDK9DoW/123wCkvAdgfsb4t5L5aEDUXktir0eu1dLKrnjIN+PCZzK3Rpf6e1odr2wqAR3vDY+z+UNWieUUOa+TX27PIRlopT5mP4r+29nMITbQeOxvSAk9iccYRMO3/B6f07sR0DbEyg6wNqDr0fZkHh74DehwVUKMXe0v/heCmZ3bbqgHatXKslewcThzX4HajvQj1+SCYNksmDbJ5gNXkgQ7KNSYQ6X3W+S/ncpMKl5ZO26B2yELuoF5KNn2DCiXgEBbxn7/rGUoikieMQ13IW/rnoVYzy767RyzpHS6+eeAwl2J79vdWchPuw7zLmd+jVoJUb6inlI/K8TL0Sj+QQ3NuWmlJoGR2KzoA10fohvDRnAjyiHkEbj9tw75SLmJm1FBMdmOXUjdvh1bMP4JGDrIIKnkYemfnxH4AxA+5Hd5pfko3DpS646ZHeQYs3G/wO7D4D1ZqkhkmDas3TUX5d59vmK0wqHIObl9TkYsmkFcg+ezf8RoXh9aljnNrxmEuP48ylyzAfOoA8LZMRBewCKhiG4vW4kTgTG4sFqYWslzJnrMOatAGYzmyruDVrSQZ2Ha5gvcWyD5KJSGdgpv+zdUcWVoKZUtyNtNmLsJRGeCMz4t2mHeRauWS0eUQxuljrZyn+JyYOM2PKqV9EQS9LxhsDDRo9sMI0h4H8LsvUsOMiH09QOGIDzIidl4BUOjLxgAppT1L7sE7oPCgI4YYNmL3AiKwyvkZbnYvkVIWDjTM/oCx7FeLTRZc7Z0pP2L8Dqh2rAlawovYgD8YUaREaE5gIpQIr5qtswlUmD/bnu5TvcFarVPS5sn9iv7A0wSRkSg7/pahz/AwrxAkUmxHT2f6+TGEDmWVql9eYxUsTHxZcIMw6+7XxMixPIthsN0X4Ln2R4E3KGNNzhHR5kkQPJxMTDtXsmUyWPlw5XbzWxhzhRJaN+QaZKFnvLaWLh2gD/4Nd29FJphRJz/GKBq2HcvXDdhZPHTpsFeIUqyNSlD5xokdXCsg5bJLFI+FRnwS03fdb38H7e0wCGe7lazha3dAJy9ctyCSp8DPM29IHs98YSCYsEogumhqDt/EXGOux4+SusB8NdFwfYEG13kX2mVMoU4yPFvNBrM8y4KVHbwxPT7qAXq/w7ImnF8Zi5Jl30LdtC74iEIyYLT/iib+8jqFXKRJcc0Mf4nW4NfQeVIdbQxdQHW4NXUB1uDWuuYBSRwWbEqMR6BOP3GYnfVMW9zbEh/2V8yHp71REB9KAEGKAhSKHK8YclP0vB4hQHF6zkF55DKkRkxC/vRj1WKLX4QTXWEDPI+PvkfhDRCwyeErzga4brsHk33+OFpNnYLShJSynN2JawDs4P3U/amsPYk6LlRj6l4047VBGL6P4X/vRZWOZIpb+zygyjoNhwnD4t70PQdFBKF/4IiYn5utC2hSgs3j+5xqB+wKVKWvNA3EHhfo9pTQ9ClvPxKRMkVEIdho5uFI4WnRWvQvF6H+D2TnSRoi4wyNRAnU0Bm6gg96OdvfYRPtoclTgmy8+xZYJ0/Fnv/ZiUk0Jdq3cDO8RVqof9T483PsQTIeOQ1vbaAvv3p1Uw47l6D6sy3sSwQqXh56GJzF5alckzPgUOXWpDDqcwkZAFYGfEr+yBsAKfBc7zb9wC0GqcwWKRAhFQC6fuBzyUhXnpxxA9hJuHcnOP4/i1FkY6knL9yfXtx0CzThsmoVAdj2Sn5BpdarKLS27sjyqK65BLgs9Ld3PH4F//SsPHqZh/Vl1CBuWFIq2RjwJ5ceRX2KAdwcFva1lJ/R8zBslecdRzpOc4zKOZm5FHhvelU15Kwy+A9A/4zNsyP6Bp+loEGg3yv9YfVOSQyIAiGlWp/tiYAXJDIFAZkkfFK4ozpcc78vkBImkQSNzMMKAMtpHoDWfDKMFxnBF8AbHTvuPZUnBESRyAquRHSgb3UdZZwo79jyFLSO8DiiGdzsw/5r0GY6oVQId9YKqB7UGfuJO9w22TveVjHGOVu3QkSfQ87cUGRFEzg+dGo6h1Gl/14cxcoQ3yAXxAqWCeXbFoyMfIx3mBXV0uFb98cQAShVri74TZ4rBG9btw9EfHTvtL+k7nVs+tsJ9/n0ZA9weUkCGPujp1VCepDaUw7s2zMgrKtMnS42A5ittDEQf5o2EFO2uhAgxY5qLIRfJB2U9yhZiaL0is9lwIjt2h683ZYmfs+qbNedQurcE3v27o6NdPFFb5weOhncdTQn3bFlOZDWMGYC+dzXWab/U65fjglJAW3bHgDF+KNl+GKX8MpbSw9hRQpnj3dGSxRNVfBC2zg8sx5C57jQmBD9g1WvtYEB/KdyhjgahbgFVOd2nPWQHMqQWYfOuI6i2mJG97AMklJDObubD6Bufi19sWel2rGmNAAwUl/Kw+xANvFCFwqQ4zPn2D1j++hC0bQKn/S17EaEzkInW4VPi+Qz3IGBqDMLz1iEp4zQs1YXYaFyHvFdm4fUALQMwNeoc3skkLK/ECw91F40DdTQQpHeQJ0l2TvfXriWKvsLmmk4eZHNY8jsgRjB9l0bKBAlRxnSRTS6fTyZO82KF+UrWtHeUEDtfyfLmExdV4AXK4LYJuuDAab84+ZGuZTvhUUJc87SPhqawsWfXNQmFTgIXWCGGfnQUE4rMnthk0iAHQpAsA+pm1etQ46ah29FQ4bNfXArMWYn5ze37nbp/efYNlM/ZhPeG3tNAC0sdFDfN6EPtu2d9NA6nXw5HDDOAax4wM9vJ0WTytBJzdOFsNG4i9cgTrftOwIqM6ei4aRXSmsV51klsnL0GtS+vxIpwX31y1ATQGfU63Br6BFOHW0MXUB1uDV1Adbg1dAHV4dawE1ArpY4ePggznSCpStMImi4GF6h7qeY8dkZPQiKLH28TWIGhscEWHOTXnkRqmA+vKzl84pFzFeIv6Gh6OOhBAxCXc5HM7GmQ/vtgOf0lFiYBEV+egsCCC3ggdszbWM8Ezwk0YqNLgRVEqNPsgymofYlq51t9lUr5nT27IST5KKn/iTp9oOtwb8iv2hk8u47CwoUh6E33vqkT16l/RijPc4rqMhShB+5le+blyP/6dgzqyxntDI0NtkDyiwX78/XV8RsGLgmoGmRYLcjB3vAXEOzjnF+p8q5MqWxVD8C3syKUTGODLTjI1+XzBgJdqOd/GETCiA37XAZ15G8UogJe5H7QJXBWPCND/GzvylB1kDIH1zZvMAYaQICB+0D3jhMOakUL0OH2qIeA2vjqNEwWTKe0/UuKoNaakVyQrX5B5VgLtmnUdKRewRbEfJWvUtX5FLqAXu+oxxBPnfLvgnCxCOkb4ogOugJRX+RZ2ei2UE2QqO/z4wh48F5YQ2JpBFOoV7AF9QTL/nwdNwSolPI/DM6HeA5mLGZwYFymFXNIeehDvA7X0TABZfGBBnOrSy24MPyq0uj1JHWAQzP/EstikPKZfqBxPoMuoNc7GjAg0nB6KzAvOwjRT/d0sAygHn7t1y9t0hoQbMG65kl/2J+v48aAQmQcge7WzOLhqenhhzdzfRH/eYzCi281cuOHkjzJ8lG5fmlB9amT6Kxav6Rpx0gBblBG10s7P4R+snWko3xJg1Xk0zUlu/N13Ciw44PSrc6+/psxKedLzPBj4nEdg255BmLM3kk4WDAD/s0dzVtHk0PvcnS4NRwIKA1E1YYM2RJZ5HqDRBa5D2NWl/A0HdcjdJMPHW4NfYjX4dbQBVSHW0Me4nXocEfoOqgOt4Y+xOtwa+gCqsOtoQuoDreGLqA63Bq6gOpwa+gCqsOtUYeASlS78dz5gi0UcZFSXdmzV5Y/ydNuQNTkIt7Hhz3jVVm843GkvLTinVrMyE2N5zGkeHwrZ9AsXwNz6mvw8Aq7+nFI6Too/2MPGtMooj/Jl2IWqWGNq6Q0s3AMMdQgdSlOyjt0162jXuDvyBCaJBRcVL8hKaYUAqIE48Ych3GkJDgvL7lL9xXCTcccWFI0PZwKKBMor8FCwGBSaUVMSxXKTEKoiwJKIZqU6ALaZGAByTRMdC5mCXE04JmG4GpCUf6IQz/93ITG1UBnTQAnQzyNA5QOzFuOjyKGAGkfwphxnufpcBvc2R5d7CKYVCD343mYWRSC5Qv/iL51RkOh5f8ml+/XxkF5KTxQl/a4kyc1NxzXvGofjLN/xfjH+qL3kKcQhFys2fYt0SKdgOovm1YhOjAY76V+hSVhDxA9xgNeYSuQzWJrKlCRx2KB0nyPwLksFigDDW2zRIrLSY9gzNp5mjQ+dWCWgRSqa4Wtws5UKa4nz2d6n3iOGDdU4UBMch5GdLWdKVS/moSU3AxePy8EztoOc1WhNTapVwQSC6UnJXrz9iVcJyNHYDSSc2m4HEV9AqcgOqw/yad6Z55Kz6bDE7Pjyl1jdb7WlLpcq3a4p5UUCZCDxSbdDPQBsmb5yfdMyOJhfGxByq9PsC+/JJs+pwJEQC+UtFLHPG1u0G6U/1GAWmXGCN7hJuGkbDXpp4ivqYA8xJeycwxMJ5VCuvwqXCxIEsO8cBVBHOLVsUCD5bicoloRBD8hasc58ovfl4bqvlIgGIO9WF2tcT95mqR+UEtPHjdUDPZiPf/gLzR0zDjxfFq/mDThdM0V4ZRpMquzXB8eW1QMMVMrXMxJEIKlYZKF4AliTitS/pcpxEkhdgLmCunkXArp+SQ928KvEWAIF4wFNGgNDwOu1Zb1BtEL0+cKgYr7U9A6+Hj4CqEJmUyPlHVLB842xDq7Ul6Mo2qwuV9zQltAWcDXIEUMdFFgDVRwFHHRGVQ6qFROqRNJgjGOmQXb6aA06KqPBxGqHC5UFOSlFu0SNsSFigJPBZRmsgCt5LesA3GXOzb5VgHl3lBks2OpLop4RVL9ZZ1YqWeJAu7BBE558A/Irj4ilM9o4ddzHFOpoeD+B8jHWWh118IgCqjyHYjvxcsueK4Isb725Q2qdpHAPzjahqeb35Zbc4i3HE3HysQ0xA7rKA55Hi3QbtgikAFcHObpa9KERrBZtESb9jQam00oQkdgQ/wr6BO5BVW9wrB8UQDPaApIdXER1Jz5vxUYYTwC0rHQr5gfOVhM2sYl8PifrTq2s2kXLdDlnEniECsdYamk3bXQEoaQWBRFHsVrw5cg12lYSE+07eePEfxX3XBUnqg1hWsweVYV5pR9gBCv5rdC1BBQPjkyFti8lHKQ3gTmNTuQU2WNmlk3eOhDw6MY0KuuV3QZxUnTMCiuDT5Y8zeEjxqI7orwmFcdLKgtkL/3iDV2PUV1CXKLnWrjVkgx6BUxQR2DCt3HijYnR3IIyCjiAG3R+7kx+P2peMxaXyzri1qhHy0sRCWZULWnngTVEMsX1V3eUoz10+bhzPPPI0A2OW9e2Ago/ULWYQGZHD0/pIdN5j14YvwL8DYnYf7idPmFiQ+iiM3JUITNpv0oI3JsMe9B0ppDCJg+GgNlu3VF+UuVOK+IBcpgPoZSMlu0mA9jd955knkBlZesV7fiMirPX7TmE4Hq4G1A6eY9OFx9GebsZHyQkEEDieLhfnHIrbGPE2pXf1Vs0c4YNOop4NO5mLV0L3/mKhSa9uFil7pMsqVritcwpC3BAvkapJ1zU5BalwNgl2EzSWo7AOPeGIC02XFIopM9y2lkJDmJQ0rKj5+uUT7cpjybJJWo79XcIF8p06soRF1E0rPUa2vqPHpECmtN8xVpor4iliMKd9RkHnvTqnyLupGiPIsFKv2mumOOcEVS0Nl56ULWBjqJIf9/b64Q2slaFqFGwUT0S6t+SPXKn8RJA7sH0aFNWUJ6XBCP/XlK7Z2PPN+82CjVM3nPj7OJLUp120qhKC2Bx/MkR0CUkJRDJmiS/imVJXroaaKcq9uJPCPTzW2uoWiTRoOtg2roirVlQlYC1+Ft45BKvrUwUog9eIGn2Zcvsls/vfrroCoBbQqIL0hj4VhH84AJqDh5rS9qi5KESQ79a2mhuSZ8jqE5SWo4LGTEvkAGt4sor7zMugsdzQzDEwiN8sCa5HX2a82OwNarE5GwuRventhXayKiAeqTKxHLVvfF9PEDrvU6aENg63YxgAwfVTxPR7OChys3SMttTQ76bidZ1RueejWgG83pcGs08RCvQ0fTQhdQHW4NXUB1uDXUAmpORZi8zeaIRU9gKURisBQW0QM+8bmQIw2qGNn08EJg9CpsYgwgDtV9bI9gRCemYqe8U6Ox/Wd7eM3CzionS8e0vk91db08qWnDQjCyTBGqNGVISA7VNUn+mzb5TQK1BcP1OMtQC6ghBMm1BTAG0c21DZht3IdKu6ciLydjNWan0R3icTAW/YyjM/xAd2Ut5u2YNcwP/ssuYFRGJZt4CRczMKtjJl7zD8Irifm4SC9B78O3TuEdh4O/8G292jLkJD2E7IgxGNZnHKfZ8e2/ynREE6H3jssBmaiK5dk5x2B6+goqfnIkcLS+n+Nf49OtW7dlCzHUqTdmdYQRexfmNF8rBKOYS1GXi3LVNZvJhbmlOAVTh72AmavP8pTrD4om5WD7z+KeuXlNKnacvsL+L8NyEjs+340+AUS40AHt2/DNcstxbJw9HYuKQmD651yE9OYrZa17Y8SM9/HPqNuwOuJNfJzzo5iO29GuYxv+fw5PA/zCFuHLnAQEeqRh0csrkCH1dIz3KP5XBc/uCDG+jxCDg017SzFSEoA3xvTSeFhHaGwIRovaRfnZI/j6bicuzkn+blV+08Czdzg258TBm/++HuGgRfpikTEOQWQoXv7Ff1XEWsp0+mTLIEx48UGeIkJkQOXDMCEEw7va9gR8Hx+bsWTDIeekZ1Kl1n4TMDvKn3whSVicYiVB1B+8t988D8Pat2Rk48TUTQr1wQEaHYJRHReqpuw4qp68H53FTAJrPn0BLP8JZb4OGWTIYwvrVtDtrJFCXFaeYAr3FTxUxFrKj6ThZ74VTrFFeYlXSXmW48lvbeM6Bsa7JGqQfD1brqYSEh9RIg4TaPFGKW91ynIXFqdpCMeNgmlDnIo8TSFuzfK9bLZtSI36pM0G5UHK1BmfKUPcq9bMJ0foPCHWaX4de9y8DcTypO1P7FfwAfgzyBwB8bf8fMbNgikqSCyrIhzbcw0+PUgX4xWc3IDJQlSor/UefGPAi92X7tuvFnKaicDsWEBzKjnJ1YbtTgWs4jLfNZIEVIrVyR9AC3LDKc9xJKCS4JDy0ktTvRzF4R1bj90TDcKyHejH0cgQjJoxnuoRA8oZONHDuh/OGfryR0etBGKEGL43L7UjtRg4cFq0YAiSOxKRfBxkYzHgQZn0x9QWA0TVY9cT7/ciEfg8ge4TSux7Q7hJOKVsgyaCE6XHE20DQjEvyANpa7bgm+oL+ObfX+KX6aPxcDtrQEMRLdGmAx0CbWl3ClyqRDnl03l7o3vHukie0p4++T5tDLRUkyQ2QaqbBmzF7fBh9lVWup09Gh+CUTUBUqkDIjTzWcRnF+DZA0OeH8J5ubSla1B5/gyQthWZR+kqwFlkbb4Nw/2UxGxvjBj1HAZ63QrPng9ihLdEz7uA7A2fI231RPRr0wIeLe7FsEVpEMwHkFXSBzMKc0CEFLivP/pJ/E9mv/Q5mU/0Jzq3B1p4BWFRhhnmLTkockqabiColPI/HFIPStlI9GucQoZaPyFqw2ohyiCabZDv0qYHJV8S+zIVQ7INrPk7eL6zHpT0KtH+5PoKlo7WEN8QsJ5ceg4buPsQzyHbbdG2Ib3xrKhFwiKpVyW/Y2LShQpul6NUYVgSH8lYOzKbLh/Hapk06nEqIYV4bwft1wxQfPdauBVdgyZgekAZYseFYs2ESRjb29oTKOHpMwyR4b4wx36MFLv1vArS+6YiDSPxxri6mDCUzLsG82NzgICXMH6gCyYa1dlYEp9Rx+RLhKX0MLZ7P4UhWrHuDSFIqtgBMvyCDJfkq6VLYZEgwy/5/1Ekz5yN5Mp0Mb9Gmf+zmD/mSYQkH1Ck1YKoAyDqgrjElTwbM2l+tH1+Dct3xp63wtNnMJ4PKsOabQeQnbINd40PQwjrVbchLW0/MPwBxYqCE3CLgbx6WAx4tmmPLijA3vyzsC77kndWfBjFzdCD2gsoY5T/yOhyDK0fwHMThpD/jMP8iMFcuOyZ6XS5Z/T8BMQEZCIi8h1umkvA3LJMw7Mzf0VM+kpM97+LFWds+HK2KmoFXeRPjsGz/tOxq0s4jB9FwE+y6dZi3lNUFyJ13t+wtUMXcclGBbpQvQ25nIZmMe/F0gXpGLEwBL0dfJqa65P1CcGoSlOvlzLY5VvVCZchD/OLEP31/Xj2IYOouphjMe71nzDcv4NiRYFCbcFAVS2xHTtj0HNPAYnvuG4x0NkPo8LJKVPextIsbsZcfQSmzGp0qdP+vgGg3Sj/Y51p84MOA2z0pcNGJFeCNSYrcjkKMsNLN0ZxNj096CyPMtoVA7/NfVSHIVSI27BZMSusK3oyPRwMOZKZMCujUQ8C1SyeT4CUE6QoovyXyWas1nw5xj3NZ3kcNE05AYqOUk/ISL510kUnSOp8SRVCQIJw0KGHD6mc6IaG1cVu8iQ9m9RG5Bm/+MI68SGH+N4czOKl4V06PzTF+pxXcRav0+3cEpdRnLgQmUNiEN7bxcnTDQpdQN0MFnMuvtyyG6U9xmPa0K71G/pvQOgCqsOtcbN/oDrcHLqA6nBr6AKqw62hC6gOt4YuoDrcGg4E1GrSwLazXDB5ePNZ+/xn62syIeerUZMbDx+PSTCVyYYlzQy63boEgeSeqWYXPPLJoDtXicyBrzVYQTVy4wOdeKmzx9V/XveFAwFVb8Gptv8YNPLvt8+XGD8una/KV6Ol3wwcFT7GmKvg7o/CYk7HwhlxyOC/XUVN7if4/bAIxGYoPXy0ht+MXS7vs1Nc7ed1ZzgQCavJg4fSpIHnKvPpvryY71NHvrPz82zyryGY6cqHOH1fH57gOqhgFTaLiUUF6YUX1LM3vzGgLaANMHl4QiufcRxdN5m49vgFpzf+HSv7zcBbo+ovoM0D6hNpKWbMvIHjSjkD3Unif5yTOFzhQzY2X4uNT8knzFQjkrucluL1kHMMocL7W4xCTII2R7S2LFNIYKYK/B51+Fan/ukjghOEnIvkHjZ8V8eoFIpMMZwcEyRMj3pRsLpAV5hNKLiedvWSDlpG9bzVsg99qYx3rOTe/OaAWkAZNBg9KpMGB/myn3QNxk8d56tNKpTgpGb2ciKFFCqgjLUzmgjAjyRfDCIwUpPEzM07JBsoWg8i1A4Jz9S+KTJKMJ28TH7YE7K1wYMwSAESZPYUF1Al80sSUEYS9uImEpK/d4MQ9I8jpD00ntflutyY0Bji1ROYGjuTBppv5ThK+b+RrUBcOd8mX2VSoQSdYHwJ8tL4bwLm5TcLm9d/iVwyLTYMfQf/meEHeyOS29E7fD2Esjdxb84GxE+dhliH02g6tH+ItKD/w6h7b+NpLqAqEx9MSUX/+TMxsS/RoD274okxI6w6aEs/zCg4KJpNSKguQ3GeGa36dUdnT2rBOhZTQ1th++4jOKv1vDc7qJTyP+45xMu9itSjKIdUagz2vpBmw/GUIA6lfkJA1CfCxv0mYZFk6sDzreCeg1X1sR7esQeEk7ac1NAU4RTjZKrrLXIwFQ58FWYT4hDPjdwCqCpRy9SKcIPUg1LYPu/N3YPaD/GqIZkSbu0tEtWEW1csFuvKd2bRaPvCOGrLhJyNnwhRLJ6PRswhicArWRtyQXE4xKvgolCwD1ptai0KqI0tlUpAadUlN+dU2EV34Kfl6usCqoTdwKpak9QwaVCteTrKr+t823yFSYVjcPOSmlwsmbQC2Wfvht+oMLw+dYzT9UVz6XGcuXQZ5kMHkKdlMtIYMPOHu5E2exGW0qhsltPYbdqOEuQidtgjan9ILCgD+WspRNIrf8XpqVm0VyBHHpLfeAxedm/C1vKU/C7LdNn26kaBTbPYuGSh+lJnJy5bSH5Rk+TbmjFLoLswz8J/Jl0y34A/9X0DqeZf0aKPAb+ufRVeHrfh3ilVmLlxKgJs3cZ49sTT0ZEIyJgO/96R+KL2ITz7tC/Ma5JhtA3x11AwOywjkiacwfRBXmhx79so/o0vvAOiYNy4Du89cw7v93sYM0tI2bQI9HmF7ia1QY8BXlg95j7IzszowUIPFiPb7nnJdzAoCOGGDYiY8TUeeFGyC7s5oBOWrzaq85E4LxMPzvmz1SCQwHI6Fa++Dcw3ur7jdDPAptvR0by4jOL1f8Ofsk/geJnC45XFjJz1Oej60iDdP5MNdAG9qrgdPk9HI2XkaUzp044P714IjPkPzE9MxVzdBskO+hCvw62hf7A63Bq6gOpwa+gCqsOtYSOgaqf71xTVxdiZGI1An3jkNpoGSddTh9aL1e46LKSqGUiJD0PXZrl+A8BCHa6yYfY3J4jcbF+CsIhUlNGpDPWXFR0sTgIDZ8FUVCkWawjoJIn/sfoFcrgvfrVAt/uoQ1xSl2YL79dE4FuqrK5K/0XXDJQtRh0P0/d4NYL6VgoFxnDBO3S5kEWpjJQVFu7Lt5hFtlmg12TBdKphvptUAkqhdqZ1LcH3pN1dQBlEsomHWwgohSikVl5qc4HTDTnxhd5XpA8qnLlJ9EIHfmPrgq6D3pDwRKt2HVAf39MNQvV/8cWybzBhzgS+K3YJRbu+RIb3QKtHac978eDwPjCbDuH7BqhqjgW0Io/pEZ5Mj3gXO+VQz1zfkAJ1BUaLvkBrchHvw9M8fIgOuwepYb3470BRFyK6UfaSifBiafQIZrGQZEeoKt3lTazPO88zOJiv0TB+Pg0QtgY5Ur2Yb1Gis/Jre4UtwXbmhNWqI3oxHVGpM36O3OwV/FloXU6isjiV6G5ikDKvsGQUcqes1LfokrD+LF2s31xFmziD8v6rsDN1FgI9pfvROFCi1SdrZ6ZvKwOX8Xaj+ngKDY42CSk5Gbwe5PlnbYe5irbZU2J5rwgkFiqpJL+g/PB6xfMsV4TspvXaRuYbD4jn0gBqydkwWxT1DZyCaHYv8j5NJ/h5Eiyoyt6IhIz+GNSvPU/7EcfzydzFuwPayJJ1O7x69gFKjuJ4eQMklHaj/A+D5FOSOt2nOoWol6qd7gfbON2HYbKQQpnoMqM8SIhJzxOy4p4h10mQ+Zr0WsFy8H1KtfOzugCXdBd+bZmSJg/xlEf5EnPez4wpZOf9KUTXoXkj5XOFi1lCHM2jw4rSzyWlvCl1RlbPU0Itvzejvr2/h5ThQxenzVk02PnRXkp35E6GeOX9DKFCQlYZuR9PkwMfUFqjv+JZJT2SDtHlPPADra9BCIjZpqifIjgC45VaXbCL71Gk8pVR5n5BkkA+ROs9aRsFRQrGIxXkh6grBlB/o2s/ExZ5cysApyYyfJ6gUsFIO4T5qKiFIl1wErlew+iCdeugKh6lKFQerLGUB3mRO86J5eWXTRqLCY+YbAVpLMlOh57LBFTSmZSOaG10UC4U6vuSgwpNwXohVMnBtAV9Bmp6oTS7IAJiFSgr51LmnDKup9gOsv9aSpZOXyvEcXsilwSUwo4Taqtf279s+h58mIDSz9EancRx/Tjpmt9DfI9KHZReg4YKom38E29vm7YkBxXwil/sOaz24B+VqkzTC2j9dFDK3/xvBUYYj1jDCrIjB4uHcatMSkGLfgNB5L/m0jwUnVUMg2yID0fvyC2o6hWG5Ysk0wZqBnKUDL+KyHU2oDzS/5rHct/uinuXLcQTPx3HXrRBx3Yafue1oIim5yrEIX4oIrdVoddr72IRUWeuHlqiTXsXfPU7hXSNcly4eEls7yAjCpmvfetRtngo2tXn0SSeK8Nd6O7bDdhbijJ5NKdWu0Vk2PdBdyIidnFX61iaq5+Acqf7+c6c7ldnIyHyS4xI34w4rMKwF1cgl+lxl1GcNA2PxLXG8n/OQ/iogeguy6LUeBrhYS5dQOUli8p5v/XWVF86jNI23fEYirD98ClFXhOCkownjkNcy1n456JXMcq/u4YNlLuDxxUwPIoBvdqK7Z13CPlmZahLMr/ILSFasSu4He3uaUN0ywsKAW2FXgMegaEkG4dLeYwDyykc3lEEw5gB6NWSx11VfBB1ObRwIKBOnO6Pegr4dK62033KdZwcjwtzlmP60N9j+udJiCFi+uzkNfJkg3y6KD1zifRIh7GbToKYAHrIpNzZC4xMkbeY98O0mXx55kUY1u7/kGp5EM+94iE675cIx5Lzfp+BamY7u1EFmTT9R+1OR2a100AR5KHkr98+KITlYgXOKNuBQMnOz1ey8+2uVxd4AAn+8bEPlMaZKsnArsMVrLde9kEyjgoZmOn/LJkokevWVT/NOpxH3u7D4sSncB0WzjmC8OWRCGh7q9jeWIGpb63iEydaJg2ZF9uJZPI6oSGMRJzaBkRieXgp1iTtIfclAr9xNf6Z9wcsf31Iw4jWRIqZ7kEhTZDob7ZYv5boW5LCTA5R57J3up+UQ0PncR2IpjFdiutV/FyalnWCTGwCvchvqrynC1kbqKJvnZiU5awWbYxIeWoM90lUgGjwxq5PwJ33i7qT6Lz/oKTEq/LIIU1IlJMkeowLFUKVv72jhLj51AZISgsQ5sdFKdqBGs3tEU6wSQT5Ta+7P1PYEN5f/H+maIwnn2+rt9neP9QopDCbIylN1M2sdkr0uUzCd+mLBB/Stsb0HCFdVV6jfvNihfmqZ6J6PdWXjXJ70vf0j/QiNsEUQecCW4k+TZ6DnRckRCVlCWVXuL4uXcuZHsomo34skINyqqGy+w+IEVIK6USsYdDpdjoaAer1ZBFenAfM+TwGQ6VodE2I+umgOnSocCsMQ9/ARxNO4OUX5yK1rijSDYAuoDoaibboG74EGbM6YtPiHSJZpAmhD/E63Bp6D6rDraELqA63hi6gOtwauoDqcGuoBdScijDlPqnt4TULOws3IEKmsjUUSkqZs4MGMbisKusTn0vObgx4UAN2PUoLdNW0pQrFlCrHzqNUtzT1du/1AhUtMhBxOTwkenU24iktL3AJclzaDrPwQBOkLeKzXdwerT/UAmoIQTIL0u8HeMch51fFnmntMZievoKKdsMQPaocCwPesOEe1hd3IjQhE2W15Nq/5sg+NL3jcvAruV9tWRpiAuiON92/nc/q1DT0jNbwm/4RjEGGelyPRiV5DwFj0jAwvRQ5cX3w9f7vUEa3Kau/QerO07zctUIFclP3uGYPRX2WFhew528eUMH9CjubyJ++xhB/O9p1bMP/r4Bnd4QY30eIoQN6h8zF5/+8D2teM3IiSAPQwg9hEY/C4EDJ8DQMw5tzBkN0K+agTg1FvdlMl/D9of1EAChjqiOL2mHZ9Qb8Wlch9+NF2FRxLbtSKhCfYsamcv7bBWg9f+uBmLGrDAJ5Ln8r29gJqPPdN7BLKMOuGQOt+/fVOfh4xlfkk2kauFITDdwKQ8BETO35GWZ8nNOA7p30iqNexFBbj3QqeKLt0BcxyuBOvKGTyDv+I/+/FNzgEP99bcBC5syMr3fInGaB5TR2LnwbMzOapvekcElAqee1KUtsdD/PzvB9rCcyEjYiu+oq9iA1x5G1hJt9BL6L9DIF35SbhHSlecydYX3cLJKeSGEC4RW2grN8TiJ14u+4S8QSrB4TSPTWPBSlzsWLw+YSwaBp1JXiJJgOrrPq8D7vInXvCoR19SS/+yMsMR9V5u2YpWFOQqSMmasEvxSGl6j5Cal7/PZi64fPeLSSqQs9qG7+C6lvKmJeDMMi0vORSpB8Bzq1pF8SnTMs7A+kLofUPZxKL5UCiEntoTBzkY6wVJzMjUcvZroi/jZTc52YcAxftI2cu5LFeGoSM2+6k8T/cHC2t8Rm4YeVPW6FyH5SsuAbCAXjR+s+Up0ok1806zgrmotQUxTJdbbE5DfECDsqLvHgBo7MXTkDXmE5YDWZ2CFUqkxnaa7UJgpLA5m9pUyTLAPos4wUWKAH6lFaYn5R5tYnq4W4IMrokiwAJPMOyaxGMufwFcJT/seeTTS74e1cWyZkJSwVNjJ2umgJQGTECetIUaegfwhF3PxDZKMFCLEHq8RSssk5Z+1L9WZmLr/yaxiEgLgszoiSGPqKe5eZBPKBsmtQhlZTwHEPqpgkkZeHpxz5mEUpik5V0ye7KmjV3xc+rVtxndSMkgsiH9JyNB0rSS+FEf7o1/YOGHwHoL95KzZlnWXnOcdlHN22Folmb4wY2Att2ejQD+bENGSdpePGjzie58psX2FN6R2AwAfbkwq3Q0eW4ItQ4xdY8WoAehpoQgXOVPxM/nL9VmiFLu3vJFe4FV0fHYoRyEfiJ+k4Sh/uzva4l3FlP0La93di4Buv10P1kawVSJWG02AVRHfsOxSjRvBZKYdICLei5vtDMNGTWHu2RNt+/qROZmR8vBtFbCiVSObNC5eGeM+uIVj+hlYkDXcBjVaXjTT6XzLUdSVDT4s+EeR3CfaWnnNhWaoc+V9TXZIM12O7k2HrDvSJ2EB+F6G0TCLjNhaPYdTTfV0kA3Nwtrpn19FYmmHChBNxCO7bF4HRqSh2eXJag4sX6jGB4mjZawDG0In+9hwUVNWgqiAH28lPkRnPilwVNHCSpERPHjLxWqIlOnb3EcO/2NjZHNUMUWOLu9C9fzfy10BGQaW91S7M8KuXSDUAnE3vtAFJr9c7BIt3FaLINBGInYKp64vroV83AG0DMCcjHcYJuRjW7ha0G5aLCcZ0ZMwJuKouyDUE1NYcwRFqUH78KEoMPqogCQ0CNyth/9UMcsDrRCDmK36fF8u37PMEJgWQTz5tCRYm5bEJhsX8DTK0NhQk8wgZrdAn8DkEkCEsbU48ktj6Lpml5x4Qeyq5vNIE5A6070LtwWnaRVR88w1KLBbyKBfE+kvtJz8bN9ewu9bt8Al+AeGGUmzffBCnyTVse6ua3GS8zWzW26L36FBMCJKWiDzJ6N9BtOmhph4VR5BbYtvjU9OMR1mZkh2HUcrMP3Zi03bqOP8izleK5UUTEiWqcSpzM44Gf8Y/1m1YHD4UvWW35ZKZjAJEFenCKkOf9Sy+yT3e+I+I3JwpugwacZIch96jJsiDrUqznWmtK1Ao+ar7KkPOSCbBUp6fEBo6UvFbmqRIJgzc1MAQKsSlKU0cJNhOAiWFnpuyeInpVnt+bkorlxfvZ6H3kyYbUqQ5m/bzjlsrfCGZwdBDw7xENAumdTfxkDovClHTqW8Bqyl3LXmujTmHBFNUEJnYiSYhRczVDMHFPMEYRs02yASM+wywg1yvANJ24UJMeqawQa4Xef4T+23MUlKEMg1ZoIfkL0E0i5bSpXdA/TRFsAmZ7KOgkVALqMsgDUp98GjFJ9Jxg0AdME15aK+0NA8aoIOSoS/7I0x+Ph8Tdr5Zx2K7jusVluIUTJ0CzKmspb0XP+g2+GB4d6CrDVcH9b+P+T+Y8+EvePmrJQin8Sl13JDw9BqC6Pm1mNeuhXWB3uuvODToAyRN7HvVBFQ3+dDh1tDHZx1uDV1Adbg1dAHV4dawF1AFs7o+XM+a3Hj4SMq0zGKpQG78MyTtGeZfqMFoYJ0cwoZV7jzQAGX1WJ3aqp35XksoGf7BiE4tbDZWuxV082INbwvqQNhUjy3XhqHJetCWflPwlXEc/3W1UA8muRISqzzYiyc4QVUG5geOxZqB/8QPOXHwzjiIQ2XKXahrgV9wmghnwJQqTD11BbWnInF+yjhMS61j56ZR7H+6A/UF3nw2FLEZtMXNyIidisgG8YHrATqL538aCcWOT712kxoKcbMgsMH3knaIlE5e7SHtmFzNxek6IXlolp7dzmOzFqgX6vEKamA9UXtCSE/aLO5gcU/alP7Y3O/6utVBGZN8Rhx2sc2N5kdJ3nHUnxPUTDh7BF+nKcYNyYQjLRv5jB5oC5H9PzMql/9uADy7YWjY78W9eM+ueGLMCHh7GBDQ/140oTGOHdQCasOsTqWGTxpsbpFxXRd48Cx2Dmd6m1Mx0ZMyzEmaxDhnAQy0GOdJIuPcrk4KJjkdalaPVTDJHbHiaXU0WOVOZVu0PL3FfyaO0nKUsU51a2V9fN7DziOcde41C+mVtaS5spEcPR4vkXvQNvMKS7BawCqtZm2f35hnx7gvcGBdWVNWir38/2po0QOpriqy/3cJVvY/fbf2dXXFWlds479/sBb3zlyOlZP860chrC9oN8r/MCiZ1ZRE4ZjNbQuNIV4OIGAldGgxzq2+5yXGOT3H6nPetk7qe1n9wjtmxStZ5XQYFIkeLKiAi0O8ciizEiVoEIYTQiUljXjHCOkVEtNfai9ShwjqR1Ri9kvseXquM8Y9f37J778NREsGZZ0kdr+jZ7G3IJCCWHgo68osEnhADAeQ7y3V1xFBpYlgN8TbMquVbO7tR+vJ5razHtRmnN/DEhSMc3KOh8w416iTJpyx4i/hzLESNpnyHmFllT9nwyq3B6cU8l928B6BMU90Q9u+YUg+uhBD7zyJQyY6jHJf+2QofPT3j7Gec+W2UtL3uMi4Z21mff5mQc1xVldBWdeRYl0/YXXVRku/GSguy4EpLhReyMfqiL9hfXFTkbrtUacOqmRzB/UR2dxFrvm5ricawDhXwRkrvrpBrPI6oYoH5AxW0xTHcP35Pdt0EMnZduiDnl4uBpJwiLrr6mnwQ8iMpfh33DPk1yF8nd982rkLzWvP5n59fVEdjX0tcA1Y8V3aqwWUjBgdvBljt1nh6TMYz1PHC7Y+8YMGwrez66MbrWvDLSHa48HAJ8mHMgBP+vIIL80AOwG1ZVZrsrk1n0qDYW3HXNdmnJ93yji3rxOttj2T3NMJK/520eE/SSnZbmWV/5uzyss5q9weimfSCpBgm+bZE8GRNGrFXmzeT6PIVaAgO4dk+GHMABoZpCGMew1I92FROn6B5fRBbN5+B8Ijh8FHs8vRYP+DX8NDUdcsZV3VsBQnIphO5uK38cX5Khw9XALvuBkY35v22nSl4F0M9eQR8DQr3gBQRZT/oRqwDbPaJJwstLK5qZkvZXMXVtkvtqmVZ6qMfyeogijQCc7BtUIoM0sV0yjjfC1T3nkZLcb5/nS7OrGJAWWSh/qSc5WKuiNWPIEmq1xiykuTLyVsmfzkoPe2aSP79VEr0dcQOl2YzljynNitwbinzy/9dsy414KCUOzQekCCYlIosf8ZtOu6o6KG51uhCoxAD7ugDDyysQeRkZg0oczhemz9oNPtdLg1XFLxdei4VtAFVIdbQxdQHW4NXUB1uDV0AdXh1tAFVIdbQxdQHW4NOwFVmW5QGpvpBM+RdhOkPA94Re+Ec3LWeeyMnoRERiagft7fxrOJhYrdEZu0qp2IfiZREUJbzH+mvvm1J5Ea5iPX08MnHjmuMAR1uB0c9KABLPqDIBxF8pj7eNp5ZBiz8XzRz2xRnx5li4c693RmOY9j33XizsWon8pzuL/H3YqbqtMsZ47hu9/2QBe5gJj/2x73OMkvt8vv7NkNIclHSR1PwBRaF2NJhztDftV1wVL8byRgPMayfVcXUV2GIvTAvcwjGmUb3Y5BfemesIRqnCoCc99I973P5n+Luwf1Ugi9bX6efX6xYH9+wxkQOtwMLgoo7T0/xObYYWjHrPk+QWpqRp0WfTXfH0J6AOVf0h/nUFr1AHw73yJmUlBOYroPHvzNHeTHZZSVQs2MkfJ70o/C9XxdPm8g0L14/odBJH04IClcLBLSTSZhQ1wo81cu+lRnGZwYQkkXP9uTLFQHJ41o5tHDWwiNnde4/JTjrFYy09w7TjgoeXPUcV2hfgIqwdaqUBPlQnp0JA+wQE0d5ggjiUBbeTI2adT0YaTSKtGaz5Koacgz9vnPKPLV51PoAnq9w2UdVAXPHhjy/BBtjqQE1QSJBgo4joAH7+WBuSjUEyCVOsCgkf+kfb40wbI/X8cNASql/A+DSz0oASunaYetwaNUHfoQr8N1NFBAaYycFxU6qC1cGH5VadTCUFIHODTzL7EsBimf6Qca5zPoAnq9w7UBsboYOzflcho/9bBsxIJ1/lg4vreDZQD18Gu/fmmTplIHRGjmd7bP7+zgfB03BhQi4xiWi8ex4+/PwqsF3Zl5Fn/P64e3TNPgJ0d8kJw0cGcPqvVLC6pPnURn1folTTtGCniJVox0vbTzQ+gnuxN3lC9psIp8uqZkd76OGwV2Jh90q7Ov/2ZMyvnyKsQIam7QLc9AjNk7CQcLZsBfsQSr4/qA3uXocGs4ENAMzPRvQ4ZsNVnk+oFEFrkPY1Y79Aui4zqAbtWpw62hD/E63Bq6gOpwa8hDvA4d7ghdB9Xh1tCHeB1uDV1Adbg1dAHV4dbQBVSHW0MXUB1ujToElNqdz4KXx3hu226LKhTvXIf4sMcQlurKlqiyPA0bc4OChaoRQ+NclbWR6mJsjw+Dl088cimZjEAMMRMM5heAGTo6jy2gVd5qFElD8rwGD68wxG8vRvOHXFSALjPxP/aQwqioDOSssIaHUbLYHYOWD2Yelkn5hkY806EGf0eG0CShgEaBU6QhYK6QXnZF9kbNwvOIJdSQQtDYlU9XlL8ilGUtF0INvkK46ZgDonrTw6mAMoHyGiwEDDY4DrPH3Fq7JqAUImNfF9AmA2n/MA8bCwiW5qFwTy6a4Xh4xwk5WiGuuGty2/LUEkFdnlsoODWWbFo4GeIv42hmOjBvOT6KGAKkfQhjxnmep8NtcGd7dDGQIf7wKaKQcbA04FLBcZxliWIwCMOYAeilFQTE1fI8wIOhS3vcyZOaG44FtGofjLN/xfjH+qL3kKcQhFys2fatc19MFjNyN61CdGAw3kv9Cku0QhJKqMhDqqTzBM61hrjmoRe7Ml2IHsGYtZNGobAQVSsDKVTXCluFnYpQ1CxfEaLQJy6HNLHCP5Pkm4marqTEI8xrElJyM3j9eFSKqkJWH09a3isCiSxKCAXRm7cv4SELyREYjeRcs7o+gVMQTcMhspCMeSo9mw5PzExGDmNNr9+EuhwLhGYT26jtEExdNhlInIKXZ29D8ZF1WLx3JNJnB2i7KiLlX19uLV/Ey++cY1OeCOiFklYYobKOaGbQbpT/UYAavcUI3uEm4aRslOZnjVahhDzEl7JzyIdIridFA/mVRZcIpaH+uIogDvE0qsRyIYvoO6JeatVxRb1WCgPI70uHmisFgjHYi9WVRrVIyCoTaql9Pk2T1A9qSEfu5R13kA9V1vMP/kIN/caJ59P6xaQJp/+/vesPjqrI899kOf/QRT1WXWeuttzaAWGr9P4Q1FqwdHKuiSf+Ollxy62dYaG2wIM6aykYKrlzyxIoJROhdPUWfySGpO4KhUkdepwSDMuquAIzKoslSU6iV2CiC5XNr+UCQvr62z/e6/devzcvITO8uupP1atJ3uvp6ff6+7q/3f359ufsaXI8t5yV2SqPJaeI/hdXVK6R/p1Q+WVygZ+/Z6t9SN+NQt6f9LPHRB5JS10DVYfv1j/LcUMoayi/b2OQHGlczOvDkmIMQpj0Io3290oDvYEyp7maaWWO8RPC+Lh+Jj8n4PBBZTrVJ5KGwTUhPT4oyrpMV/0lBK3Urt+JHUzoA5O+kJSAsXwgsaOJ67ptoHg9KQwU/5dlUWRnZPktn1j1s7iBWzI51iFeIE95ONR7HBP5OQcckwHhJ9KXs9OrGsNlYxYvJ9ltL5IMk5dZTF7+dEBc9UKX3parUSFeOHyGX5Y+VFbbxY991gEvNLVD/e1X8i6v4ltw2e1PAu3AeTeP1aSFokVpYQpMvXwa/TwB/ShUVQysi/8FzFz6JgzNSMNzTybFhcmALEtIYLToxwNwR6OqXIdHHjbQZxMKuCfVvqNw8ZWXuZ6LDlxhmbs24kCFZXHViSkQe6AeupZ+Bo/8eBMU1H2yRg7Axp8tgrfmrYCVP/klbHijHRrvOAC//McmZzoJTP9w2pN+ySONrvTUrelsheV1Q/BY77PwQLz0QV4aAxWDo8Yjrko5AbQ1gb7WtyE/dE6kDQOh1hb7Edwwo1gVjUJ386Nwc3YqPNv6BCy+7ya4JqSyX0nAxHABPtn3qVM5beQoFIrKVgtMuQp+MC8hFO7EOV+g0W1Wnjk9tqBynR8uhWvvXQB3HW+Aute6LR/0bNc78MJeAldffgmv4G9fB4v++VdQ/fsu+B/NXCim37wXlR1d6fe60o91w2uProWvHnoIkrHyhHi7DBTfkFdhPR0cPXTL910Xr4BbF/4UEn3NsG5Dh1VhXKbQLdvXBTtzf4Beasdjfe9Cc+uHkFx5P9xkhQUr6YUU4qkTg/SsQN8X0ENHi2N9h+CdwyfpRSEb6MEoDJ4ctq8L/cmene/CoZFR6DuwBZ7dSJ/80dVw4w+zUDgrpQ2F7CCFp/xSipBt6/NduPm+OwFeeRzqntkn7nkIOnPvw/DVxSJeZZ48j1j7Jlhv5UGfc2E7tE2aSrBzkDRlxg2wINYDu3e8zgentFfK7/w9HL5tJlyjUb/l6Y960ydd6dkg6WgIYdxJBH1LmV+FsB18PJxza85reCwlW3PrlHPc5+LpriOpzHIu04d/b3yPSePhNa6zLtJv3eqRFTzd205q0Qdi3+sg+7fhIIb+/dTjJHWVnRZSjSRH/UvbP0S/8i9Cjg//pz50bj/pyFbTAVsj6eg6zv1RK32SrK3POO4psS5L1inl4b6tkFeUmu7JDGnO0wGaSxIR/dAvqXPufE70Hplv7spDeSbnDTbnqfrQCPTh3yJZS7oQB60t5KAc2Fg6/vNJ/cF+3/R5z0Co/POgDgOdDPAKKr63k8EkgRkoH7yOF+e6msky3+2LdCjVgM8f3vb+vCDVfLmCMFq+QYkRuxVSmQpo3fKqd67ZD2y+ugk27vwe/HrRLN1ARANUM26C37TMgpULb7jQ86ATgXtXuyTtPobENYOSYriLtOOUnJxum3Rg3S6z3RtxthwwMUkGkcYkd/EGBpMLY6AGkYYxUINIwxioQaThNNC+Nkhb68B+YR4UY53QVCOoY/SY3lAAS2kQpzDakNIm88HwgZdgB6OoCTh+x33UwJqmNthjLSVq1qfdR7wO9gwFrW3grtDPszLF05tgd+cH0FS3A/o040KnFKQ4puMqFL3oLvf0NdCwvsqZlh74PM6KcldWKufXN8B6QQm0jypoKCDx7phTvpGeX5ddU7KyaA8ZMuLJ+wJKSeIoXnxwWKsMnHI24KAuISRjCaeSOENJ4pxcBUrWklyXmMqVUyC4etJ4mNgTTyoVTpw610vyzRmxAlVNajuO21Magx1kTdzNeqJgzKuVNjvJA6SIPUYeE3md682THJZHrPxoMXyE5DLV7Bk4yodg7Cd6L0+/K1aCcBUmxxlANL2zfGJ6RtID2blB0pWrFffoXtAQE+GC+sdQyrKwvGusvB1TVDLvyVrxmiA086BiOQsLjbzHY6PivACLd5lHkklqXCptTca1aLmEwhitpTWEmwonwelcbLlS5UxqaXnFIPiLbmPEl7D2P0ivn4EiJPeTVtLi7Z/zCmX3OJsks/uVF42DvZxVccf9I7d0SXw+NcI/s/9tcB4nGmlscY4cZ5kLbmpyI8nL2CKJUpZFzVvGGil5X+j1QB8DnU+ebMySalyTrf/AUUgep7SSNL64mH7PNlBONJZEXy/kGrUduOVnoAhq0Gvm0PyVYL0JGah8MWhr/PYxns94MLyfZBk3Eiv6a1re+YpBucFfLMvoBvG7s2mlC4PyAInL84Vh9JABRmr2IwpTlLIsnrzvDsi7vPA10Oz+w6xFrHAwv7HC51Kj+SN923HVSBooEoEXOg3KDdZlqK1ikIHaboRl8DoDxTd9xXMBqye0oiSjnxEgkDTifX34yyMJxirs1jyWTJK5utbNAWl0CdrDzNW2bg5YhoGBifdrWloVpSyLYtCh8i4f/A00P8iMJO4Ox0ADGxil9qYaqGC2i0rWwmL/qN/xM1C7xbWYM8JAmeuhHon6ost753r3k2bpx6FflX2LdIWuAOx6V9CXhRp4mC5PujrUnQk2OA4ZYgLJp0MYRSnLIsNfvL3mhUTANFMlXJpMwdrqCmhvfRM+GumHj15/A86svB9uvMwWNOSYAlOnIcPczQtVcGoQTiDhM5GAa64sxkKWpBPa7rkiCGkLCtQe8Y0CWgGQ+/viPPXK2E2Q3vAG9OZzkKXNeMvqO2HmPc9APmAjAwsj3bDr9f+GmcmLYe/qJ2BzYUBc0IEH0u3ouQKSsZ2wetUrRX5jCLp3tUPPzLkQ29sAqzbngwPpSlkWzHuHyDuztkjeZQRaqfgQkC0ovkPyjZ1NMttaSCYmR+2SGBLeB7Wvj8cHVWhkE/JBNbAGBSKuKBDYTd7PWqtBq6UL6P5Yl41d9dchWiPRrWJ+gz1ig4yglq6UZXHmvSROe6qIdPNFDJRC+kkO4/MaqN2dOKeeOKQ/NM5RvPqQggyUlnFj9neaFwN/Y6m30pk/LMnEfuAj7Wo6WOCRrUoXSCvS488xw1/oGglTH97H6NhIu/pRxyjb3+hKWRY7b3s2YRxuRInhNVA2DzpXIcDKSEjV8HTnxENHY1ZpWdY8KJ/XtAMQxQhbNVB1HtQdVSjmQT0tNJvLm+8zOBMvAS3PKwfVuT/agtIRq2cKTQJ18RtpOTzhtXJWgFZeZrvwY+kL1dVBGmkZMJTZMWcoyszZ/UdEZQ+Sro5GkknOd87z0r+s+WXXPHLJyhIq79w4/PXJh9NA5UhbHNhaMduhN1e7VLxhmsGKlQ4hb9q6jjfpGj27fsdxxFIku22nEm4gW2tNWuvQtdoIaqDNOXLkuJicF+ljqY2kXSmPOoo/Iwdn8rDmUIWxq9fgbpJKYUXK/5VBojUoVI4HUyTlOGf3QNag0DoS5MHUg6Uri/uQg1GWNw541etLyfYyhBjrYPigBpGGIYsYRBrGQA0iDWOgBpGGMVCDSMMYqEGkYQzUINLwGKiTUe7Si2c7z+HmstdDumEXdBa2QJ1WDGEECg1VYmc8++DMey9Dfvq67LiY5usbdExzmw2+qLJSOe/PNC9/Wej5Y22QVs5xxruBL3AeVHww8AljzdY1uLF+JitWHE6T3nyOZFNz/dlLbFUjiN29lE3K+zHNnZs+4PJrgsQ1THO2N1OiGBs8SmUREIsV2qVbAwvhDJSpPniN8VxXC6n1NVAOa/lTIePydWf/dWHGS1y8XVkbXs6Y5geH1BqmYGvOGLLgYoMvmaNdR45SWYyBhkM4Ax3kW2urW12HByd/8IrOkWMDSD5BdreoRA84saSCVXQPGcTvKgblgUX6tZnmcV82eITKYgw0FMIZKO3yrP3LkWzwcoeGQCDXhxWGkwXJZrLZ3Z4WRQVWNIupCc80Z0Yn2OCe1s2BiJTFGGgohDRQBPqdLZYfx0gd7V3BlauiCP3MjWD6mRtF6GduRKEsxkBDYRzTTBdBbPbPYUNHAfK5LKSgBVZXJ+GehgMh5FRsdvdtgt2t3SvdAjLNdwumeTYc01yywZFpnv+zuKBDlMpiUBRopeKDwb8FdcIecISQU2G+mYvd7du18m6yClsrZJozEnRQS4ddtptpHhDfE5WymBY0FMIZKPIJ57u7Nw2rXgc2un3QObINqGiLaS7IxGr36vXndGzw5SzQT2t0USqLMdBQCG+gCfqgrX3Lacsi5hUDY7MD2N1sVkCwu7mf5mSa28z7CTDNRUy9zQaPUlkEjIGGQkgD/ZA0t3xMjrPJeWxxsELd4bvqKB67OlXgYPxMc8ng5uVRryW0THObDa7+Lh7nz3qfvLIovY0x0FDwMOpxqXPWnJ2wLP8GrJpdTGrFYMLADbriC2BfNg+dq2bDhZSDijIMWcQg0vAx0L2wes5U8JBFDM4fkkBCW88WccrAHyZoziDSMF28QaRhDNQg0rC6eAODKML4oAaRhuniDSINY6AGkYYxUINIwxioQaRhDNQg0jAGahBpFDHQMRjaUwdxX1nEIeje8yo0pOdBui3Mmr2aXrfhw/8TnC1Aw/Tp7B7LMnk30g27G9IQlxtGTDpwg4tHoCKehobd3SFCfCYROA8qPrxgcd24ub9e/0gKIzCOZeB+7xyYvqYCd2dWOJkG5wdRR7FUMzmiCy2ZNJwmvfufI6mYEvdfBgS2oGOfdcCLb06F5FyA9lffh89csWWV1y6GXb05SIn/iwHT/+fBekiI/w0mAV8X4PWm78DKf1oAs75dSo/tIojddC/cd8f/QtOOAnwtzpYaAXc0Cp+91wGw9jn47ZJbqIX+KzTuPSmuGUQGl1wOV8doF3/oOHXISoyxv8DAV6c82lWlhL+BDr0Pjf/yDSycNwuuveVOqIYCtO76I/UiA4BS3DtegjVVNfBU23/BpvTfsg2y4unn4UDfGZFIYOAwtK2pYdcrqh6HPfK6tUGZ2HCrogbq9nxJHz4PF96Ovlb6JdjTVgdV6nXm94kNubJ56jUpG31JOWnqq+3ZjlLhy2B7Ya8oXxyq6nZD31AnKw/b8Cy+BJo65Z1Sv3n3JltevGoNbGHS4kp5qlbAmvT19Dr6nYcdfjb3Qc9AX6GVPhchYT6ZvtzFl8EVF/fB0X4hoKY8B16ed5UNz+QmaAq06Wfo01MD7T96Mdxx8wy4VJwqObCfFx8KeHBYAreHYRFjQpZEF2LMYmvQB+2xA8pEkFjn0De2VmZ1I+miX5VxPVJymvulLrlFS2RL/C5uyHX6CGmsibOyWht9oWQOnhN5ywC4RPagiPOxv3/wjJTOEeWrbSdfnpWbLCjlEZGbXO6Ghx3XSP+ORYUKCZvP37PjmZRgOTtuifvZYyKPpCWrg/Fad4cL1y4KHkla5Q7Ws/aJQumfw2R/dj5TNtnVqSitqJD3ZaW/26OEwiF2mJnQFkgTg95AWThuNdNK4uKqMpqRK785BFctA8VBkkynBt05NZV4BSqDJAxc8wh0YRTm78g2KR0jd4yTQW5uyRTXddtARSAfM1D8X5bFHbymDtr47nX8N7iBOwPf8BAvkKc8HOo9jon8/BT4Jg4R9k1fzk477NSGFVJNXzbfyFsFjvRyszQdxAuHz7AM0jTaLh4HRy80tUP97VeKPT6/BZfd/iTQDpx383gbWlTSHmcaONUzp8DUy6fRzxPQPxxiDoR18b+AmUvfhKEZaXjuyaS4MBmQZQmJsZPwxccDcEfjp0DrC99iceRhA302oXD2T9Cz7yhcfOVlrueig3e/0op0G33uOkyB2AP10LX0M3jkx5u8u6NUXgP3r/kVdc0A+noOQ9fXLhfLjVDpqVvT2QrL64bgsd5n4YH4X4nzpYPGQMXgqPGIq1JOAG1NoK/1bcgPnRNpw+AsDA/00171R3DDjGJVNArdzY/Czdmp8GzrE7D4vpvgmgsZ7lh5CVx+NcAn+z6FPrX+R45CoTvQG7cx5Sr4wbwEHN19CHqKjmLQ6DYrz5weWx4A2ov44FK49t4FcNfxBqh7rZv7oBIjB2Dj0jfgjo6dkIUX4PaHny8iJqumf4ml9xj9WDe89uha+OqhhyAZu0icLC1cBopvyKuwng6OHrrl+66LV8CtC38Kib5mWLehw6qwseEB+MqjctwFO3N/gF5qx2N970Jz64eQXHk/3HSpzFFJf2oQTp6iHycGmboxQ98X0ENHi2N9h+CdwyfpxX4YPKV7uKMweHLYvk4NaloiBj0734VDI6PQd2ALPLtxL8DR1XDjD7NQOCteFuiHAdGae8ovRqr0BAyPfRduvu9OgFceh7pn9ol7HoLO3PswfHWxkGyZJ88j1r4J1lt50Odc2A5t2sWPiUAZJCFGPoGmFQ3Q/9hzsPLv7oKV/74FaqnZ3buiBTp1+1Bh+uVq+maW/p7lrc70bJB01PlbpQZ9S5nfgXBuTODcvMF5DY+lZGtunXKO+1w83XUklVnOtiFkGzyI3YXxGh0w2um3bnVsnIB+6Gm55xP7XgfZvw0HMfTvpx4nqavstJBqJDnHxgjoV/6FDxrYb+BOIftJR7ZaSDEe5/6olT5J1tZnHPeUWJcl65TycN92kHS1b+QDPTwndUjdmz5QPxRlCp3Pid4j881deSjP5LxBfeh0hdeHZs+FlV9uqCF+G8/hgLManzGK+37EfW5HekUKkZ0TWTv88/LAYaCTAV5Brp1JDEoHZqCKbPk4cK6rmSzTivD6oVQDPn9oB0kTxxjtsftp5zYMJwZH2StoUGLEboVUpgJat7zqnWv2A5uvboKNO78Hv140K2AyXMUZ6NvTBL9pmQUrF95woedBJwK3KrFbfMCgZBgWkueO7ngygXW7zHZvxNlywATNGUQak9zFGxhMLoyBGkQaxkANIo0iBhrEqNcsyzE2jM2UH+vbB5uQ5cPYO4eg0NQAbX2a5U7cK9ORDz3SayFrsXDiUNPUCfr1q1Hoblpof08ylxiQRdQGDYxpJK5XrWF8RsfKkAtOOUhxKPKGnrJ6DkU6cZFkBvHzftKJrMzuvANkHM9qnv/09Q3BMo7nVRZc6KDnyw0cJIkPL4ow6hmQUVQdIxXVL3NGEcM5MnykhWQeE9ttn+sl+VyWpGJBBAMnqcR5Dhj75+0BDSvC2sLbVUaFoePY2ltMmCMD/dMgPSUhb8h+O1HvHB2zuUd1sp3mm6sVCwTuOWAxd6iRTuR5u0bejLzC8/6S5Y3EGUXGsV4SYRB85qQi7pVxLE1Zyo9AA2VUuDgKWNGHIyltHoiVi9R2sbqAxokUO7cxorFlAwQXdKIM6tTVdWTx9s9tA2RAutwKkkDRLAcjSdLodOEJknEVI8n6D0jgcoIwcq40pwovzCbJrPu7nPomVexsIYUVTDrRo/RhvUA8b/bqWXl7RRcCZRwP9rP/bZS2LOVEgIGiQT1Maho/JEdYK+a3WuE1UMsAaneNYznP30ATT75IfouttPvhMj7oPJJpfMZJmROtui/nUi5ThpXQYUpztrwhk1HUUdwsFTusaC6dWBUPJ524/dhXVt6+ohSYH20ZWZpB/C6XcdQWpaRlKR/8DZR1nbS77TwlSMT0wWiXuNwGSsHEZ1HJjRpBMkMaO8Io0gUYaPY98gWTdFFfEv4ixLFlpy2JaqCyvEVbfeulk+vVtmCCDcl/pPcv5A21ukcSVkUL6URP66ZinHlLsjO919AyjiUrS3ngY6C88kMx6nUGikC/sznDbhjz1zO0VQQZaJ58gy9MvMI2OtZKzqUG9ifhK9kGahE2fEkN3CArHG5BEKTLQHuFEF1esJ6SGzxvXz0lNyxicZCgmI2SlqUM0I/ix47B2/9WgAU/uxX+5lt4YhrMqamGWF877Mr3M4srisoYzE5vgI7ePOSyKYCWlVA982GgD1UkGCcunQtL1j4I0N4Gr3/UDyMfvQmtZ34CD974HZHARuXUaTxylFHm2CkXRmHwxDD9/B5cf81f81NBcMsbFgbEBR1QOrHdkk5cvflgKOnEa28LkzePg0IZx2RoGcdSlaVMQCsVHxasLlJzYDc/4Ij58GlBHVCc9szbPkyYIi0o/c+OF2oh2zJz2aidNfCuFrSoDypnHsL4oKxb/QfWotjyhn6tkegmsXsU0onBgrWYN5dOHFDy9u1amT/slXHUMx5KXJYyQWOgfHDknVayu3nndI/XQL+hD2a+58EVM+TiBmo7/vThqcblNlClS/beh/S1aOUWG8WLF6vGGiwoXb3mu5Z0ojLKXoJuibaied5u6URfN4KNtFHGUcxkKF19vca3LGlZygiXgdLKY1NE6lykDe7b0UKro3PZGinzoDxdNcm88oFjnjCJI0rPVJGE/zyoOjjjrbvT8HTneIXi1AktR/N+uxxsHhTvAaM6WUo9VHnDL9WRrwyko3lY8oY0X0U60b4/OaOBrVFI6URsBETenayVpnWiyDg6yuySceSGVMqylB8OA3WywYsx6tOkvj6t/I8Hb8W+yW8lLUd6xOS8uBakL89aQDUfeqSeIPW0xbX+T8jITPrgaukDZi2Di/3tSIeQlUW7e3ldO6vgHMV77tVq9WU65ZrnsHsAzMeOIMCjuHSinRYPjYyj3GLIzejHQyPjOHllUXu28sHQ7QwiDUMWMYg0jIEaRBrGQA0iDWOgBpGGMVCDSMMYqEGkYQzUINLwGKgz3GE6pHOKOIK1uez1kG7YBZ2FLVCnFUMYgUJDldgZzz4wVOEbXajCumxwqIIV+sHP+4UqyJCMRZWVynn/sInyl4WeP9YGaeUcD98w8AVO1IsPBr6Kotm6BjmemaxYDjtNevM5kk3NDaCr4RKdEqrg2P9TrLvLjWjZObkciqsW7k0f+Dp+XBOqYO9BxE8zKKEKfIkzSmUREKtnzrIYuBHOQBkB2WuM57paSK2vgXIEhip4mDUK68naRFUQF5IaBhFbb8edhHmoArfFL0huyRwtySFKZTEGGg7hDFSSEia09bNkD2FF58ixATtUwVXFApyxxOOAeKhCUjEoD5RQBRmSEbdYOW5EqCzGQEMhnIHSLo/tTU7TMebMyx2CxaPCJlx4SQWSJjeOUAUWByRCFQKZ44rRiVCFYOZ4RMpiDDQUQhooAv3OFpsZFMRO0kHwF4NJszYkOTkcadbJX9QTeBVEoSzGQENhHNNMF0Fs9s9hQ0cB8rkspKAFVlcn4Z6GAyHkVOxQhdtChyrstkIVVm3OhwpVsEIyAsNKolQWg6JAKxUfDP4tqBP2gCNk6G7SG6qg/wXeTVZhayVCFYIDxLDL5qEKdkjG0/4tXVTKYlrQUAhnoEiOne/u3nQhGhpYoQrqxgf+FW2FKhwb5f8r3avXn9OHKvhGJUapLMZAQyG8gSbog860kDwbxdOWRcwrBm40oIQqOOYAXaEK3E9zhirYkQ0TCFVYM4fmjeWVIRlRKouAMdBQCGmgH5Lmlo/JcTY5jy0OVuh1JJV9S3no6igeuzpV4EAJaAsZqiA3UODlUa8lioYq2L+LhyZs4oKVReltjIGGgifkA5c6Z83ZCcvyb8Cq2cWkVgwmDNw9Lr4A9mXz0LlqNlxIOagow5BFDCINHwPdC6vnTAUPWcTg/CEJJLT1bBGnDPxhojoNIg3TxRtEGsZADSKNCnqYvt0gsjA+qEGkwbp4Y5wG0QTA/wEMYTThN+HAdQAAAABJRU5ErkJggg==" alt="" /> 200 * Symbol Set: 01, 10, 15, 27, 30, 35 201 * Remarks: 'MODE' is not required when displaying. 202 * </pre> 203 */ 204 public static final String P_IFF_SIF_AIS = "P_IFF_SIF_AIS"; 205 /** 206 * <pre> 207 * Direction of Movement Indicator 208 * An amplifier consisting of a line with arrow that identifies the direction of movement or intended movement of an object (see 5.3.7.9 and figure 14). 209 * Format: Graphic (Alphanumeric for exchange only) 210 * Symbol Set: 10, 15, 20, 25, 27 211 * Remarks: 212 * Renderer Assumes a value in degrees with no text 213 * MilStd: 214 * <br></br><img src="data:image/png;base64,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" alt="" /> 215 * 216 * </pre> 217 */ 218 public static final String Q_DIRECTION_OF_MOVEMENT = "Q_DIRECTION_OF_MOVEMENT"; 219 /** 220 * <pre> 221 * Mobility Indicator 222 * An amplifier that depicts the mobility of an object not intrinsic to the entity itself (see 5.3.7.9, figure 14 and table IX). 223 * Format: Graphic 224 * Symbol Set: 10 225 * Remarks: Determined by SIDC positions 9-10 226 * </pre> 227 */ 228 public static final String R_MOBILITY_INDICATOR = "R_MOBILITY_INDICATOR"; 229 /** 230 * <pre> 231 * SIGINT Mobility Indicator 232 * An amplifier that indicates the mobility of a SIGINT unit. 233 * Format: Alphanumeric - {1,1} 234 * Symbol Set: 50, 51, 52, 53, 54 235 * Remarks: 236 * List of Values: 237 * M = Mobile, 238 * S = Static 239 * U = Uncertain. 240 * </pre> 241 */ 242 public static final String R2_SIGNIT_MOBILITY_INDICATOR = "R2_SIGNIT_MOBILITY_INDICATOR"; 243 /** 244 * <pre> 245 * Headquarters Staff Indicator 246 * An amplifier for units, installations and activities that identifies them as a headquarters (see figure 14 and figure 13). 247 * Format: Graphic 248 * Symbol Set: 10, 20, 40 249 * Remarks: Determined by SIDC position 8. 250 * </pre> 251 */ 252 public static final String S_HQ_STAFF_INDICATOR = "S_HQ_STAFF_INDICATOR"; 253 /** 254 * <pre> 255 * Offset Location Indicator 256 * An amplifier used to indicate the offset or precise location of a single point symbol (see 5.3.7.5, 5.3.12, and figure 14). 257 * Format: Graphic 258 * Symbol Set: 10, 20, 25, 27, 40 259 * Remarks: Determined by individual system implementations, not implemented by the renderer. 260 * </pre> 261 */ 262 public static final String S2_OFFSET_INDICATOR = "S2_OFFSET_INDICATOR"; 263 /** 264 * <pre> 265 * Unique Designation 266 * An amplifier that uniquely identifies a particular symbol or track number. Identifies acquisitions number when used with SIGINT symbology. 267 * Format: Alphanumeric - {1,30} 268 * Symbol Set: All 269 * Remarks: 270 * </pre> 271 */ 272 public static final String T_UNIQUE_DESIGNATION_1 = "T_UNIQUE_DESIGNATION_1"; 273 /** 274 * <pre> 275 * Lines - Unique Identifier or Primary Purpose 276 * An amplifier that uniquely identifies a particular symbol or track number. Identifies acquisitions number when used with SIGINT symbology. 277 * Format: Alphanumeric - {1,30} 278 * Symbol Set: All 279 * Remarks: 280 * </pre> 281 */ 282 public static final String T1_UNIQUE_DESIGNATION_2 = "T1_UNIQUE_DESIGNATION_2"; 283 /** 284 * <pre> 285 * Type 286 * An amplifier for equipment that indicates types of equipment. 287 * Format: Alphanumeric - {1,24} 288 * Symbol Set: Not Installation(20), Activites(40), or CyberSpace(60) 289 * Remarks: 290 * Example: 291 * AH-64 for Attack Helicopter 292 * </pre> 293 */ 294 public static final String V_EQUIP_TYPE = "V_EQUIP_TYPE"; 295 /** 296 * <pre> 297 * Date/Time Group (DTG) W 298 * An amplifier for displaying a date-time group (DDHHMMSSZMONYYYY) or (DDHHMMZMMMYYYY) or "O/O" for On Order. 299 * Field "W" is used to provide DTG or if used with field "W1" the start of a period of time. 300 * Field "W1" is used to provide the end of a period of time. 301 * Format: Alphanumeric - {3,16} 302 * Symbol Set: 10, 15, 20, 25, 27, 40, 45 303 * Remarks: 304 * The date-time group is composed of a group of six numeric digits with a time zone suffix and the standardized three-letter abbreviation for the month followed by four digits representing the year. 305 * The first pair of digits represents the day; the second pair, the hour; the third pair, the minutes. For automated systems, two digits may be added before the time zone suffix and after the minutes to designate seconds (see 5.3.7.8). 306 * </pre> 307 */ 308 public static final String W_DTG_1 = "W_DTG_1"; 309 /** 310 * <pre> 311 * Date/Time Group (DTG) W1 312 * An amplifier for displaying a date-time group (DDHHMMSSZMONYYYY) or (DDHHMMZMMMYYYY) or "O/O" for On Order. 313 * Field "W" is used to provide DTG or if used with field "W1" the start of a period of time. 314 * Field "W1" is used to provide the end of a period of time. 315 * Format: Alphanumeric - {3,16} 316 * Symbol Set: 25 317 * Remarks: 318 * The date-time group is composed of a group of six numeric digits with a time zone suffix and the standardized three-letter abbreviation for the month followed by four digits representing the year. 319 * The first pair of digits represents the day; the second pair, the hour; the third pair, the minutes. For automated systems, two digits may be added before the time zone suffix and after the minutes to designate seconds (see 5.3.7.8). 320 * </pre> 321 */ 322 public static final String W1_DTG_2 = "W1_DTG_2"; 323 /** 324 * <pre> 325 * Altitude/Depth 326 * An amplifier that displays either altitude, flight level, depth for submerged objects or height of equipment or structures on the ground, the minimum, maximum and/or specific altitude (in feet or meters in relation to a reference datum) or depth (for submerged objects in feet below sea level). See 5.3.7.6 for content. 327 * Format: 328 * <br></br><img 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" alt="" /> 329 * Symbol Set: All but 40 & 60 330 * Remarks: 331 * SM = Statute Miles 332 * DM = Data Miles 333 * Notes: 334 * The Renderer handles the whole value as a string for Single Point Icons. 335 * For multipoints, it expects just a number and an accompanying attribute {@link MilStdAttributes#AltitudeUnits} 336 * Default behavior assumes feet. 337 * </pre> 338 */ 339 public static final String X_ALTITUDE_DEPTH = "X_ALTITUDE_DEPTH"; 340 /** 341 * <pre> 342 * Location 343 * An amplifier that displays a symbol's location in degrees, minutes and decimal minutes (or in MGRS, GARS, or other applicable display formats). 344 * Format: Alphanumeric - {3,16} 345 * Symbol Set: 10, 15, 20, 25, 27, 30, 40 346 * Remarks: Exchange format is implementation specific. 347 * </pre> 348 */ 349 public static final String Y_LOCATION = "Y_LOCATION"; 350 /** 351 * <pre> 352 * Speed 353 * An amplifier that displays velocity (see 5.3.7.7). 354 * Format: Alphanumeric - {5,9} [#####] [XXX] 355 * Symbol Set: NOT 20, 35, 40, 60 356 * Remarks: 357 * Two-part composite field. 358 * Where # is the numeric value [1-999999999], and XXX is the unit of measure (KPH, KPS, MPH, NMH, KTS). 359 * Note: There should be a space between the numeric and the unit of measure values. 360 * </pre> 361 */ 362 public static final String Z_SPEED = "Z_SPEED"; 363 /** 364 * <pre> 365 * Special C2 Headquarters 366 * A amplifier that is contained inside the frame in place of the main icon and contains the name of the special C2 Headquarters. 367 * Format: Alphanumeric - {1,9} 368 * Symbol Set: 10 369 * Remarks: 370 * Examples: Named command such as SHAPE, PACOM, and joint, multinational, or coalition commands such as CJTF, JTF, or MJTF. 371 * </pre> 372 */ 373 public static final String AA_SPECIAL_C2_HQ = "AA_SPECIAL_C2_HQ"; 374 /** 375 * <pre> 376 * Feint/Dummy indicator 377 * An amplifier that identifies an offensive or defensive unit, intended to draw the enemy's attention away from the area of the main attack. 378 * Format: Graphic 379 * Symbol Set: 10, 15, 20, 25 380 * Remarks: Determined by SIDC position 8. 381 * </pre> 382 */ 383 public static final String AB_FEINT_DUMMY_INDICATOR = "AB_FEINT_DUMMY_INDICATOR"; 384 385 /** 386 * <pre> 387 * Platform Type 388 * An amplifier that identifies the electronic identification for a pulsed or non-pulsed electromagnetic emission. 389 * Format: Alphanumeric - {5,5} 390 * Symbol Set: 10, 15 391 * Remarks: 392 * List of Values: 393 * ELNOT = Electronic intelligence notation 394 * CENOT = Communications intelligence notation 395 * </pre> 396 */ 397 public static final String AD_PLATFORM_TYPE = "AD_PLATFORM_TYPE"; 398 /** 399 * <pre> 400 * Platform Type 401 * An amplifier that identifies equipment teardown time in minutes. 402 * Format: Numeric – {1,3} 403 * Symbol Set: 10(2525E), 15 404 * Remarks: 405 * </pre> 406 */ 407 public static final String AE_EQUIPMENT_TEARDOWN_TIME = "AE_EQUIPMENT_TEARDOWN_TIME"; 408 /** 409 * <pre> 410 * Common Identifier 411 * An amplifier to provide a common name used to identify an entity. 412 * Format: Alphanumeric - {1,12} 413 * Symbol Set: 10(2525E), 15, 27 414 * Remarks: Example: "Hawk" for Hawk SAM system. 415 * </pre> 416 */ 417 public static final String AF_COMMON_IDENTIFIER = "AF_COMMON_IDENTIFIER"; 418 /** 419 * <pre> 420 * Auxiliary Equipment Indicator 421 * An amplifier for equipment that indicates the presence of a towed sonar array (see 5.3.7.11, figure 14 and table IX). 422 * Format: Graphic 423 * Symbol Set: 15 424 * Remarks: Determined by SIDC positions 9-10. 425 * </pre> 426 */ 427 public static final String AG_AUX_EQUIP_INDICATOR = "AG_AUX_EQUIP_INDICATOR"; 428 /** 429 * <pre> 430 * Area of Uncertainty 431 * An amplifier that indicates the area where an object is most likely to be, based on the object's last report and 432 * the reporting accuracy of the sensor that detected the object (see 5.3.7.13.1 and figure 18. 433 * Format: Graphic (Alphanumeric for exchange only) 434 * Symbol Set: 01, 05, 10, 15, 20, 25, 27, 30, 35, 40 435 * Remarks: 436 * The amplifier can be displayed as an ellipse, a bearing box, or a line of bearing, depending on the report received for the object. 437 * Notes: Not implemented by the renderer 438 * </pre> 439 */ 440 public static final String AH_AREA_OF_UNCERTAINTY = "AH_AREA_OF_UNCERTAINTY"; 441 /** 442 * <pre> 443 * Dead Reckoning Trailer 444 * An amplifier that identifies where an object should be located at present, given its last reported course and speed (see 5.3.7.13.2). 445 * Format: Graphic 446 * Symbol Set: 01, 05, 10, 15, 20, 25, 27, 30, 35, 40 447 * Remarks: 448 * Locally derived information. This datum is not exchanged. 449 * Notes: Not implemented by the renderer 450 * </pre> 451 */ 452 public static final String AI_DEAD_RECKONING_TRAILER = "AI_DEAD_RECKONING_TRAILER"; 453 /** 454 * <pre> 455 * Speed Leader 456 * An amplifier that depicts the speed and direction of movement of an object (see 5.3.7.13.3 and figure 18). 457 * Format: Graphic 458 * Symbol Set: 10, 15, 30, 35 459 * Remarks: 460 * Land units and equipment use the Direction of Movement and Speed amplifiers for this information. 461 * Notes: Not implemented by the renderer 462 * </pre> 463 */ 464 public static final String AJ_SPEED_LEADER = "AJ_SPEED_LEADER"; 465 /** 466 * <pre> 467 * Pairing Line 468 * An amplifier that connects two objects and is updated dynamically as the positions of the two objects change (see 5.3.7.13.4 and figure 18). 469 * Format: Graphic 470 * Symbol Set: NA 471 * Remarks: 472 * Notes: Not implemented by the renderer 473 * </pre> 474 */ 475 public static final String AK_PAIRING_LINE = "AK_PAIRING_LINE"; 476 /** 477 * <pre> 478 * Operational Condition 479 * An amplifier that indicates operational condition or capacity. 480 * Format: Graphic 481 * Symbol Set: 01, 05,10, 15, 20, 30, 35 482 * Remarks: Determined by SIDC position 7. 483 * </pre> 484 */ 485 public static final String AL_OPERATIONAL_CONDITION = "AL_OPERATIONAL_CONDITION"; 486 487 /** 488 * <pre> 489 * Distance 490 * An amplifier that displays a minimum, maximum, or a specific distance (range, radius, width, length, etc.), in meters. 491 * Format: Alphanumeric - {3,9} [#] [X] 492 * Symbol Set: 25 493 * Remarks: 494 * "#" is the value (range 0-99999) 495 * XXX is the distance unit. 496 * There should be a space between the integer and the unit of measure values. 497 * Where more than one distance is specified the AM amplifier will be suffixed with a numeric entry, e.g. AM1, AM2. 498 * Note: 499 * Renderer expects just a number or a comma delimited string of numbers and an accompanying attribute {@link MilStdAttributes#DistanceUnits} 500 * Default behavior assumes meters. 501 * </pre> 502 */ 503 public static final String AM_DISTANCE = "AM_DISTANCE"; 504 /** 505 * <pre> 506 * Azimuth 507 * An amplifier that displays an angle measured from true north to any other line in degrees. 508 * Format: Alphanumeric - {7,8} [#####] [XXX] 509 * Symbol Set: 25 510 * Remarks: 511 * For Degrees entries. 512 * XXX DGT, where XXX is degrees from 000-359 and DGT is referenced to TRUE North. 513 * For Mils entries. 514 * XXXX MGT, where XXXX is MILS from 0000-6399 and MGT is referenced to TRUE North. 515 * Where more than one angle is specified the AN amplifier will be suffixed with a numeric entry, e.g. AN1, AN2. 516 * Note: 517 * Renderer expects just a number or a comma delimited string of numbers 518 * </pre> 519 */ 520 public static final String AN_AZIMUTH = "AN_AZIMUTH"; 521 522 /** 523 * Engagement Bar 524 * A graphic amplifier placed immediately atop the symbol. May denote: 525 * A) local/remote engagement status - 'R' for remote, 'B' for mix of local/remote, none for local 526 * B) engagement status 527 * C) weapon type. 528 * 529 * Format: 530 * Composite list of values 531 * Alphanumeric - {6,10} 532 * A:BBB-CC 533 * Symbol Set: 01, 05, 10, 30, 35 534 * Remarks: See 5.3.7.15.3 for explanation of engagement bar structure and codes. 535 * A - Type of Engagement 536 * BBB - Engagement Stage 537 * CC - Type of Weapon Assignment 538 */ 539 public static final String AO_ENGAGEMENT_BAR = "AO_ENGAGEMENT_BAR"; 540 541 /** 542 * <pre> 543 * Target Number 544 * An amplifier used in Fire Support operations to uniquely designate targets in accordance with STANAG 2934. 545 * Format: Alphanumeric - {6,6} [XX][####] 546 * Symbol Set: 25 547 * Remarks: 548 * Two-part composite field. 549 * Where positions 1-2 are text, and positions 3-6 are numeric. 550 * </pre> 551 */ 552 public static final String AP_TARGET_NUMBER = "AP_TARGET_NUMBER"; 553 554 /** 555 * <pre> 556 * Target Number Extension 557 * An amplifier used to identify a target number extension which is a sequentially assigned number identifying the individual elements in a target (MIL-STD-6017), 558 * Format: Numeric – {2,3} [-##] 559 * Symbol Set: 25 560 * Remarks: 561 * Position 1 is a dash (-) and positions 2-3 are numbers, from 1 through 15. 562 * It is applicable only to the "Point or Single Target" symbol. 563 * It is conditional upon the presence of the Target Number amplifier and is visually displayed appended to the Target Number amplifier. 564 * </pre> 565 */ 566 public static final String AP1_TARGET_NUMBER_EXTENSION = "AP1_TARGET_NUMBER_EXTENSION"; 567 568 /** 569 * <pre> 570 * Guarded Unit 571 * An amplifier used during ballistic missile defense. Some tracks are designated as guarded by a particular unit. 572 * Format: Alphanumeric - {6,6} [XX] 573 * Symbol Set: 10(2525E), 15, 20(2525E), 30 574 * Remarks: 575 * Single value: 576 * BG - Guarded Unit 577 * </pre> 578 */ 579 public static final String AQ_GUARDED_UNIT = "AQ_GUARDED_UNIT"; 580 581 /** 582 * <pre> 583 * Special Designator 584 * An amplifier that identifies special track designators. 585 * Format: Alphanumeric - {3,3} 586 * Symbol Set: 10, 30, 35 587 * Remarks: 588 * List of values: 589 * NRT - Non-Real Time. 590 * SIG - Tactically Significant Tracks. 591 * </pre> 592 */ 593 public static final String AR_SPECIAL_DESIGNATOR = "AR_SPECIAL_DESIGNATOR"; 594 595 /** 596 * <pre> 597 * Country 598 * A three-letter code that indicates the country of origin of the organization (US systems shall use GENC). 599 * Format: Alphanumeric - {3,3} 600 * Symbol Set: All 601 * Remarks: Determined by SIDC positions 28-30. 602 * </pre> 603 */ 604 public static final String AS_COUNTRY = "AS_COUNTRY"; 605 606 /** 607 * <pre> 608 * Capacity of Installation 609 * Capacity of installation displayed. 610 * Format: Alphanumeric - {1,19} [#########] [XXXXXXXXXX] 611 * Symbol Set: 2525E addition, not currently defined. Probably 20 612 * Remarks: 613 * Two-part composite field. 614 * Comprised of: 615 * Quantity 0-99999999 followed by the unit of measure. 616 * e.g. 400 Beds 617 * </pre> 618 */ 619 public static final String AT_CAPACITY_OF_INSTALLATION = "AT_CAPACITY_OF_INSTALLATION"; 620 621 /** 622 * <pre> 623 * Leadership 624 * Identifies Leadership (ONLY IN DISMOUNTED INDIVIDUAL) 625 * Format: Graphic 626 * Symbol Set: 27(2525E) 627 * Remarks: Determined by SIDC positions 9-10. 628 * </pre> 629 */ 630 public static final String AV_LEADERSHIP = "AV_LEADERSHIP"; 631 632 /** 633 * <pre> 634 * Headquarters Element 635 * An amplifier that indicates what type of element of a headquarters is being represented, such as TOC, MAIN2. 636 * Format: Alphanumeric {0,8} 637 * Symbol Set: 10(2525E) 638 * Remarks: Location currently undefined 639 * </pre> 640 */ 641 public static final String AW_HEADQUARTERS_ELEMENT = "AW_HEADQUARTERS_ELEMENT"; 642 643 /** 644 * <pre> 645 * Installation Composition 646 * Indicates the component type of the installation 647 * Format: Alphanumeric {3,7} 648 * Symbol Set: 20(2525E) 649 * Remarks: Location currently undefined 650 * List of Values: 651 * DEVELOP - Development. 652 * RSRCH - Research. 653 * PROD - Production. 654 * SVC - Service. 655 * STORE - Storage. 656 * UTIL - Utility. 657 * </pre> 658 */ 659 public static final String AX_INSTALLATION_COMPOSITION = "AX_INSTALLATION_COMPOSITION"; 660 661 /** 662 * <pre> 663 * Network Identifier 664 * Indicates the network the entity has privileges within. 665 * Format: Alphanumeric 666 * Symbol Set: undefined 667 * Remarks: 668 * The colour of the graphic shall be assignable by the operator. 669 * Notes: undefined 670 * </pre> 671 */ 672 public static final String AY_NETWORK_IDENTIFIER = "AY_NETWORK_IDENTIFIER"; 673 674 //public static final String LENGTH = "Length"; 675 //public static final String WIDTH = "Width"; 676 //public static final String RADIUS = "Radius"; 677 //public static final String SEGMENT_DATA = "Segment Data"; 678 679 /** 680 * Returns an Arraylist of the all the modifiers that appear as labels and are not 681 * derived from the symbol code or are external to symbol data like offset indicator. 682 * Also includes modifiers that control the shape of a symbol like AM & AN. 683 * @return {@link ArrayList} 684 */ 685 public static ArrayList<String> GetModifierList() 686 { 687 ArrayList<String> list = new ArrayList<String>(); 688 689 //list.add(A_SYMBOL_ICON);//graphical, feeds off of symbol code, 690 //list.add(B_ECHELON);//graphical, feeds off of symbol code, 691 list.add(C_QUANTITY); 692 list.add(D_TASK_FORCE_INDICATOR);//graphical, feeds off of symbol code, 693 //list.add(E_FRAME_SHAPE_MODIFIER);//symbol frame, feeds off of symbol code, symbol set 694 list.add(F_REINFORCED_REDUCED);//R = reinforced, D = reduced, RD = reinforced and reduced 695 list.add(G_STAFF_COMMENTS); 696 list.add(H_ADDITIONAL_INFO_1); 697 list.add(H1_ADDITIONAL_INFO_2); 698 list.add(J_EVALUATION_RATING); 699 list.add(K_COMBAT_EFFECTIVENESS); 700 list.add(L_SIGNATURE_EQUIP); 701 list.add(M_HIGHER_FORMATION); 702 list.add(N_HOSTILE); 703 list.add(P_IFF_SIF_AIS); 704 list.add(Q_DIRECTION_OF_MOVEMENT);//number in mils 705 //list.add(R_MOBILITY_INDICATOR);//graphical, feeds off of symbol code, 706 list.add(R2_SIGNIT_MOBILITY_INDICATOR); 707 //list.add(S_HQ_STAFF_INDICATOR);//graphical, feeds off of symbol code, 708 list.add(T_UNIQUE_DESIGNATION_1); 709 list.add(T1_UNIQUE_DESIGNATION_2); 710 list.add(V_EQUIP_TYPE); 711 list.add(W_DTG_1); 712 list.add(W1_DTG_2); 713 list.add(X_ALTITUDE_DEPTH); 714 list.add(Y_LOCATION); 715 list.add(Z_SPEED); 716 717 list.add(AA_SPECIAL_C2_HQ); 718 //list.add(AB_FEINT_DUMMY_INDICATOR);//graphical, feeds off of symbol code, 719 //list.add(AC_INSTALLATION);//graphical, feeds off of symbol code, 720 list.add(AD_PLATFORM_TYPE); 721 list.add(AE_EQUIPMENT_TEARDOWN_TIME); 722 list.add(AF_COMMON_IDENTIFIER); 723 //list.add(AG_AUX_EQUIP_INDICATOR); 724 list.add(AH_AREA_OF_UNCERTAINTY); 725 list.add(AI_DEAD_RECKONING_TRAILER); 726 list.add(AJ_SPEED_LEADER);//graphical 727 //list.add(AK_PAIRING_LINE); 728 //list.add(AL_OPERATIONAL_CONDITION);//2525C ////graphical, feeds off of symbol code, SIDC positions 4 729 list.add(AM_DISTANCE); 730 list.add(AN_AZIMUTH); 731 list.add(AO_ENGAGEMENT_BAR);//2525C 732 list.add(AP_TARGET_NUMBER); 733 list.add(AP1_TARGET_NUMBER_EXTENSION); 734 list.add((AQ_GUARDED_UNIT)); 735 list.add((AR_SPECIAL_DESIGNATOR)); 736 //list.add((AS_COUNTRY)); 737 738 739 return list; 740 } 741 742 /** 743 * Returns an ArrayList of the modifier constants that are determined by the symbol code 744 * and therefore don't need their values to be manually typed or selected. 745 * (Based on the comments in GetModifierList, GetUnitModifierList, and GetControlMeasureModifierList.) 746 * @return {@link ArrayList} 747 */ 748 public static ArrayList<String> GetSymbolCodeModifiersList() { 749 ArrayList<String> list = new ArrayList<>(); 750 751 list.add(A_SYMBOL_ICON);//graphical, feeds off of symbol code, 752 list.add(B_ECHELON);//graphical, feeds off of symbol code, 753 list.add(D_TASK_FORCE_INDICATOR);//graphical, feeds off of symbol code, 754 list.add(N_HOSTILE);//textual, feeds off symbol code (gets set to "ENY" if hostile) 755 list.add(R_MOBILITY_INDICATOR);//graphical, feeds off of symbol code, 756 list.add(S_HQ_STAFF_INDICATOR);//graphical, feeds off of symbol code, 757 list.add(AB_FEINT_DUMMY_INDICATOR);//graphical, feeds off of symbol code, 758 list.add(AG_AUX_EQUIP_INDICATOR);//graphical, feeds off of symbol code, 759 list.add(AJ_SPEED_LEADER);//graphical 760 list.add(AL_OPERATIONAL_CONDITION);//2525C ////graphical, feeds off of symbol code, SIDC positions 4 761 list.add(AS_COUNTRY);//no need to manually enter code as the selector for the code is now implemented 762 //list.add(-1); // TODO add missing modifiers (weather, others?) so this nameless default value doesn't get added 763 764 return list; 765 } 766 767 /** 768 * Returns an Arraylist of the modifier names for units 769 * @return {@link ArrayList} 770 */ 771 public static ArrayList<String> GetUnitModifierList() 772 { 773 ArrayList<String> list = new ArrayList<String>(); 774 775 //list.add(ModifierType.A_SYMBOL_ICON);//graphical, feeds off of symbol code, SIDC positions 3, 5-10 776 //list.add(ModifierType.B_ECHELON);//graphical, feeds off of symbol code, SIDC positions 11-12 777 list.add(C_QUANTITY); 778 //list.add(D_TASK_FORCE_INDICATOR);//graphical, feeds off of symbol code, SIDC positions 11-12 779 //list.add(E_FRAME_SHAPE_MODIFIER);//symbol frame, feeds off of symbol code, SIDC positions 3-4 780 list.add(F_REINFORCED_REDUCED);//R = reinforced, D = reduced, RD = reinforced and reduced 781 list.add(G_STAFF_COMMENTS); 782 list.add(H_ADDITIONAL_INFO_1); 783 //list.add(H1_ADDITIONAL_INFO_2); 784 //list.add(H2_ADDITIONAL_INFO_3); 785 list.add(J_EVALUATION_RATING); 786 list.add(K_COMBAT_EFFECTIVENESS); 787 list.add(L_SIGNATURE_EQUIP); 788 list.add(M_HIGHER_FORMATION); 789 list.add(N_HOSTILE); 790 list.add(P_IFF_SIF_AIS); 791 list.add(Q_DIRECTION_OF_MOVEMENT);//number in mils 792 //list.add(R_MOBILITY_INDICATOR);//graphical, feeds off of symbol code, SIDC positions 11-12 793 list.add(R2_SIGNIT_MOBILITY_INDICATOR); 794 //list.add(S_HQ_STAFF_OR_OFFSET_INDICATOR);//graphical, feeds off of symbol code, SIDC positions 11-12 795 list.add(T_UNIQUE_DESIGNATION_1); 796 //list.add(T1_UNIQUE_DESIGNATION_2); 797 list.add(V_EQUIP_TYPE); 798 list.add(W_DTG_1); 799 list.add(W1_DTG_2); 800 list.add(X_ALTITUDE_DEPTH); 801 list.add(Y_LOCATION); 802 list.add(Z_SPEED); 803 804 list.add(AA_SPECIAL_C2_HQ); 805 //list.add(AB_FEINT_DUMMY_INDICATOR);//graphical, feeds off of symbol code, SIDC positions 11-12 806 //list.add(AC_INSTALLATION);//graphical, feeds off of symbol code, SIDC positions 11-12 807 list.add(AD_PLATFORM_TYPE); 808 list.add(AE_EQUIPMENT_TEARDOWN_TIME); 809 list.add(AF_COMMON_IDENTIFIER); 810 //list.add(AG_AUX_EQUIP_INDICATOR);//graphical 811 //list.add(AH_AREA_OF_UNCERTAINTY);//graphical and on client of renderer 812 //list.add(AI_DEAD_RECKONING_TRAILER);//graphical 813 list.add(AJ_SPEED_LEADER); 814 list.add(AK_PAIRING_LINE); 815 //list.add(AL_OPERATIONAL_CONDITION);//2525C ////graphical, feeds off of symbol code, SIDC positions 4 816 list.add(AO_ENGAGEMENT_BAR);//2525C 817 list.add(AP_TARGET_NUMBER); 818 list.add(AP1_TARGET_NUMBER_EXTENSION); 819 list.add((AQ_GUARDED_UNIT)); 820 list.add((AR_SPECIAL_DESIGNATOR)); 821 list.add((AS_COUNTRY)); 822 823 824 return list; 825 } 826 827 /** 828 * Returns an Arraylist of the modifiers for Control Measures 829 * @return {@link ArrayList} 830 */ 831 public static ArrayList<String> GetControlMeasureModifierList() 832 { 833 ArrayList<String> list = new ArrayList<String>(); 834 835 //list.add(ModifierType.B_ECHELON);//graphical, feeds off of symbol code, 836 list.add(C_QUANTITY); 837 list.add(H_ADDITIONAL_INFO_1); 838 list.add(H1_ADDITIONAL_INFO_2); 839 list.add(N_HOSTILE); 840 list.add(Q_DIRECTION_OF_MOVEMENT);//number in mils 841 //list.add(S2);//graphical, up to renderer client 842 list.add(T_UNIQUE_DESIGNATION_1); 843 list.add(T1_UNIQUE_DESIGNATION_2); 844 list.add(V_EQUIP_TYPE); 845 list.add(W_DTG_1); 846 list.add(W1_DTG_2); 847 list.add(X_ALTITUDE_DEPTH); 848 list.add(Y_LOCATION); 849 850 list.add(AM_DISTANCE); 851 list.add(AN_AZIMUTH); 852 list.add(AP_TARGET_NUMBER); 853 list.add(AP1_TARGET_NUMBER_EXTENSION); 854 list.add((AS_COUNTRY)); 855 856 857 858 859 return list; 860 } 861 862 /** 863 * 864 * @param modifier like Modifiers.C_QUANTITY 865 * @return modifier name based on modifier constants 866 */ 867 public static String getModifierName(String modifier) 868 { 869 switch(modifier) 870 { 871 case A_SYMBOL_ICON: 872 return "Symbol Icon"; 873 case B_ECHELON: 874 return "Echelon"; 875 case C_QUANTITY: 876 return "Quantity"; 877 case D_TASK_FORCE_INDICATOR: 878 return "Task Force Indicator"; 879 case F_REINFORCED_REDUCED: 880 return "Reinforce Reduced"; 881 case G_STAFF_COMMENTS: 882 return "Staff Comments"; 883 case H_ADDITIONAL_INFO_1: 884 return "Additional Info 1"; 885 case H1_ADDITIONAL_INFO_2: 886 return "Additional Info 2"; 887 case J_EVALUATION_RATING: 888 return "Evaluation Rating"; 889 case K_COMBAT_EFFECTIVENESS: 890 return "Combat Effectiveness"; 891 case L_SIGNATURE_EQUIP: 892 return "Signature Equipment"; 893 case M_HIGHER_FORMATION: 894 return "Higher Formation"; 895 case N_HOSTILE: 896 return "Hostile"; 897 case P_IFF_SIF_AIS: 898 return "IFF SIF AIS"; 899 case Q_DIRECTION_OF_MOVEMENT: 900 return "Direction of Movement"; 901 case R_MOBILITY_INDICATOR: 902 return "Mobility Indicator"; 903 case R2_SIGNIT_MOBILITY_INDICATOR: 904 return "Signals Intelligence Mobility Indicator"; 905 case S_HQ_STAFF_INDICATOR: 906 return "HQ Staff"; 907 case S2_OFFSET_INDICATOR: 908 return "Offset Indicator"; 909 case T_UNIQUE_DESIGNATION_1: 910 return "Unique Designation 1"; 911 case T1_UNIQUE_DESIGNATION_2: 912 return "Unique Designation 2"; 913 case V_EQUIP_TYPE: 914 return "Equipment Type"; 915 case W_DTG_1: 916 return "Date Time Group 1"; 917 case W1_DTG_2: 918 return "Date Time Group 2"; 919 case X_ALTITUDE_DEPTH: 920 return "Altitude Depth"; 921 case Y_LOCATION: 922 return "Location"; 923 case Z_SPEED: 924 return "Speed"; 925 case AA_SPECIAL_C2_HQ: 926 return "Special C2 HQ"; 927 case AB_FEINT_DUMMY_INDICATOR: 928 return "Feint Dummy Indicator"; 929 case AD_PLATFORM_TYPE: 930 return "Platform Type"; 931 case AE_EQUIPMENT_TEARDOWN_TIME: 932 return "Equipment Teardown Time"; 933 case AF_COMMON_IDENTIFIER: 934 return "Common Identifier"; 935 case AG_AUX_EQUIP_INDICATOR: 936 return "Auxiliary Equipment Indicator"; 937 case AH_AREA_OF_UNCERTAINTY: 938 return "Area of Uncertainty"; 939 case AI_DEAD_RECKONING_TRAILER: 940 return "Dead Reckoning Trailer"; 941 case AJ_SPEED_LEADER: 942 return "Speed Leader"; 943 case AK_PAIRING_LINE: 944 return "Pairing Line"; 945 case AL_OPERATIONAL_CONDITION: 946 return "Operational Condition"; 947 case AM_DISTANCE: 948 return "Distance"; 949 case AN_AZIMUTH: 950 return "Azimuth"; 951 case AO_ENGAGEMENT_BAR: 952 return "Engagement Bar";//*/ 953 case AP_TARGET_NUMBER: 954 return "Target Number"; 955 case AP1_TARGET_NUMBER_EXTENSION: 956 return "Target Number Extension"; 957 case AQ_GUARDED_UNIT: 958 return "Guarded Unit"; 959 case AR_SPECIAL_DESIGNATOR: 960 return "Special Designator"; 961 case AS_COUNTRY: 962 return "Country"; 963 default: 964 return ""; 965 966 } 967 } 968 969 /** 970 * 971 * @param modifier like Modifiers.C_QUANTITY 972 * @return modifier name based on modifier constants 973 */ 974 public static String getModifierLetterCode(String modifier) { 975 switch (modifier) { 976 case A_SYMBOL_ICON: 977 return "A"; 978 case B_ECHELON: 979 return "B"; 980 case C_QUANTITY: 981 return "C"; 982 case D_TASK_FORCE_INDICATOR: 983 return "D"; 984 case F_REINFORCED_REDUCED: 985 return "F"; 986 case G_STAFF_COMMENTS: 987 return "G"; 988 case H_ADDITIONAL_INFO_1: 989 return "H"; 990 case H1_ADDITIONAL_INFO_2: 991 return "H1"; 992 case J_EVALUATION_RATING: 993 return "J"; 994 case K_COMBAT_EFFECTIVENESS: 995 return "K"; 996 case L_SIGNATURE_EQUIP: 997 return "L"; 998 case M_HIGHER_FORMATION: 999 return "M"; 1000 case N_HOSTILE: 1001 return "N"; 1002 case P_IFF_SIF_AIS: 1003 return "P"; 1004 case Q_DIRECTION_OF_MOVEMENT: 1005 return "Q"; 1006 case R_MOBILITY_INDICATOR: 1007 return "R"; 1008 case R2_SIGNIT_MOBILITY_INDICATOR: 1009 return "R2"; 1010 case S_HQ_STAFF_INDICATOR: 1011 return "S"; 1012 case S2_OFFSET_INDICATOR: 1013 return "S2"; 1014 case T_UNIQUE_DESIGNATION_1: 1015 return "T"; 1016 case T1_UNIQUE_DESIGNATION_2: 1017 return "T1"; 1018 case V_EQUIP_TYPE: 1019 return "V"; 1020 case W_DTG_1: 1021 return "W"; 1022 case W1_DTG_2: 1023 return "W1"; 1024 case X_ALTITUDE_DEPTH: 1025 return "X"; 1026 case Y_LOCATION: 1027 return "Y"; 1028 case Z_SPEED: 1029 return "Z"; 1030 case AA_SPECIAL_C2_HQ: 1031 return "AA"; 1032 case AB_FEINT_DUMMY_INDICATOR: 1033 return "AB"; 1034 case AD_PLATFORM_TYPE: 1035 return "AD"; 1036 case AE_EQUIPMENT_TEARDOWN_TIME: 1037 return "AE"; 1038 case AF_COMMON_IDENTIFIER: 1039 return "AF"; 1040 case AG_AUX_EQUIP_INDICATOR: 1041 return "AG"; 1042 case AH_AREA_OF_UNCERTAINTY: 1043 return "AH"; 1044 case AI_DEAD_RECKONING_TRAILER: 1045 return "AI"; 1046 case AJ_SPEED_LEADER: 1047 return "AJ"; 1048 case AK_PAIRING_LINE: 1049 return "AK"; 1050 case AL_OPERATIONAL_CONDITION: 1051 return "AL"; 1052 case AM_DISTANCE: 1053 return "AM"; 1054 case AN_AZIMUTH: 1055 return "AN"; 1056 case AO_ENGAGEMENT_BAR: 1057 return "AO"; 1058 case AP_TARGET_NUMBER: 1059 return "AP"; 1060 case AP1_TARGET_NUMBER_EXTENSION: 1061 return "AP1"; 1062 case AQ_GUARDED_UNIT: 1063 return "AQ"; 1064 case AR_SPECIAL_DESIGNATOR: 1065 return "AR"; 1066 case AS_COUNTRY: 1067 return "AS"; 1068 default: 1069 return ""; 1070 1071 } 1072 } 1073 1074 /** 1075 * Returns the description for a modifier constant 1076 * @param modifier {@link Modifiers} 1077 * @return {@link String} 1078 */ 1079 public static String getModifierDescription(String modifier) { 1080 switch (modifier) { 1081 case A_SYMBOL_ICON: 1082 return "The innermost part of a symbol, comprised of an icon and optional modifiers, that represents a joint military object (see 5.3.4).\n" + 1083 "Determined by SIDC positions 11-20."; 1084 case B_ECHELON: 1085 return "A graphic amplifier in a unit symbol that identifies command level (see 5.3.7.1 and table D-III)."; 1086 case C_QUANTITY: 1087 return "A text amplifier in an equipment symbol that identifies the number of items present.\n" + 1088 "Examples include: \"350 Beds\" or \"50 Gallons\""; 1089 case D_TASK_FORCE_INDICATOR: 1090 return "A graphic amplifier that identifies a unit or activities symbol as a task force (see 5.3.7.2 and figure 13).\n" + 1091 "Determined by SIDC position 8."; 1092 case F_REINFORCED_REDUCED: 1093 return "A text modifier in a unit symbol that displays (+) for reinforced, (-) for reduced,(+) reinforced and reduced.\n" + 1094 "R = reinforced,D = reduced, RD = reinforced and reduced"; 1095 case G_STAFF_COMMENTS: 1096 case H_ADDITIONAL_INFO_1: 1097 return "A text modifier for units, equipment and installations; content is implementation specific."; 1098 case H1_ADDITIONAL_INFO_2: 1099 return "An alphanumeric text amplifier used to provide an up to a three-character letter field acronym to describe a point that is not already listed."; 1100 case J_EVALUATION_RATING: 1101 return "A text modifier for units, equipment, and installations that consists of\n " 1102 + "a one letter reliability rating and a one-number credibility rating.\n" 1103 + "Reliability Ratings: A-completely reliable, B-usually reliable,\n " 1104 + "C-fairly reliable, D-not usually reliable, E-unreliable,\n " 1105 + "F-reliability cannot be judged.\n" 1106 + "Credibility Ratings: 1-confirmed by other sources,\n" 1107 + "2-probably true, 3-possibly true, 4-doubtfully true,\n" 1108 + "5-improbable, 6-truth cannot be judged.\n" 1109 + "Example \"A1\""; 1110 case K_COMBAT_EFFECTIVENESS: 1111 return "A text modifier for units and installations that indicates unit effectiveness or installation capability." + 1112 "FO - Fully Operational\n" + 1113 "SO - Substantially operational\n" + 1114 "MO - Marginally operational\n" + 1115 "NO - Not operational\n" + 1116 "UNK - Unknown"; 1117 case L_SIGNATURE_EQUIP: 1118 return "A text modifier for hostile equipment; \"!\" indicates detectable electronic signatures."; 1119 case M_HIGHER_FORMATION: 1120 return "An amplifier for units that indicates number or title of higher echelon command (corps are designated by Roman numerals)."; 1121 case N_HOSTILE: 1122 return "An amplifier for equipment; letters \"ENY\" denote hostile symbols." + 1123 "Determined by SIDC position 4."; 1124 case P_IFF_SIF_AIS: 1125 return "An amplifier displaying IFF/SIF/AIS Identification modes and codes." + 1126 "Alphanumeric - {4,4}\n" + 1127 "MODE 1:##, where ## is a two-digit octal number (0-7). The rightmost digit is limited to 0-3.\n" + 1128 "[1:##]\n" + 1129 "Note: ‘MODE' is not required when displaying.\n" + 1130 "Alphanumeric - {6,6}\n" + 1131 "MODE 2:####, where #### is a four-digit octal number (0-7).\n" + 1132 "[2:####]\n" + 1133 "Alphanumeric - {6,6}\n" + 1134 "MODE 3:####, where #### is a four-digit octal number (0-7).\n" + 1135 "[3:####]\n" + 1136 "Alphanumeric - {6,6}\n" + 1137 "MODE 5:####, where #### is a 4-digit hexadecimal number (0-F). The leftmost digit is limited from 0 to 3.\n" + 1138 "[5:####]\n" + 1139 "Alphanumeric - {8,8}\n" + 1140 "MODE S:XXXXXX\n" + 1141 "[S:XXXXXX]\n" + 1142 "Alphanumeric - {x,x}\n" + 1143 "AIS IMO:XXXXXX"; 1144 case Q_DIRECTION_OF_MOVEMENT: 1145 return "An amplifier consisting of a line with arrow that identifies the direction of movement or intended movement of an object (see 5.3.7.9 and figure 14).\n"; 1146 case R_MOBILITY_INDICATOR: 1147 return "An amplifier that depicts the mobility of an object not intrinsic to the entity itself (see 5.3.7.9, figure 14 and table IX).\n" + 1148 "Determined by SIDC positions 9-10"; 1149 case R2_SIGNIT_MOBILITY_INDICATOR: 1150 return "An amplifier that indicates the mobility of a SIGINT unit." + 1151 "List of Values:\n" + 1152 "M = Mobile,\n" + 1153 "S = Static\n" + 1154 "U = Uncertain."; 1155 case S_HQ_STAFF_INDICATOR: 1156 return "An amplifier for units, installations and activities that identifies them as a headquarters (see figure 14 and figure 13).\n" + 1157 "Determined by SIDC position 8."; 1158 case S2_OFFSET_INDICATOR: 1159 return "An amplifier used to indicate the offset or precise location of a single point symbol (see 5.3.7.5, 5.3.12, and figure 14)."; 1160 case T_UNIQUE_DESIGNATION_1: 1161 return "An amplifier that uniquely identifies a particular symbol or track number. Identifies acquisitions number when used with SIGINT symbology."; 1162 case T1_UNIQUE_DESIGNATION_2: 1163 return "Lines - Second unique identifier for boundaries.\n" + 1164 "Lines - Other than phase lines that have a specific purpose, (for example, restrictive fire line RFL),\n " + 1165 " should have the primary purpose labelled on top of the line at both ends of the line inside the\n " + 1166 " lateral boundaries or as often as necessary for clarity.\n" + 1167 "Points - Provides the unit servicing the point"; 1168 case V_EQUIP_TYPE: 1169 return "An amplifier for equipment that indicates types of equipment.\n" + 1170 "Example: " + 1171 "AH-64 for Attack Helicopter"; 1172 case W_DTG_1: 1173 case W1_DTG_2: 1174 return "An amplifier for displaying a date-time group (DDHHMMSSZMONYYYY) or (DDHHMMZMMMYYYY) or \"O/O\" for On Order.\n" + 1175 "Field \"W\" is used to provide DTG or if used with field \"W1\" the start of a period of time.\n" + 1176 "Field \"W1\" is used to provide the end of a period of time.\n" + 1177 "The date-time group is composed of a group of six numeric digits with a time zone suffix and the standardized three-letter abbreviation for the month followed by four digits representing the year.\n" + 1178 "The first pair of digits represents the day; the second pair, the hour; the third pair, the minutes. For automated systems, two digits may be added before the time zone suffix and after the minutes to designate seconds (see 5.3.7.8)."; 1179 case X_ALTITUDE_DEPTH: 1180 return "An amplifier that displays either altitude, flight level, depth for submerged objects or height of equipment or structures on the ground, the minimum, maximum and/or specific altitude (in feet or meters in relation to a reference datum) or depth (for submerged objects in feet below sea level). See 5.3.7.6 for content."; 1181 case Y_LOCATION: 1182 return "An amplifier that displays a symbol's location in degrees, minutes and decimal minutes (or in MGRS, GARS, or other applicable display formats)."; 1183 case Z_SPEED: 1184 return "An amplifier that displays velocity (see 5.3.7.7)."; 1185 case AA_SPECIAL_C2_HQ: 1186 return "A amplifier that is contained inside the frame in place of the main icon and contains the name of the special C2 Headquarters."; 1187 case AB_FEINT_DUMMY_INDICATOR: 1188 return "An amplifier that identifies an offensive or defensive unit, intended to draw the enemy's attention away from the area of the main attack.\n" + 1189 "Determined by SIDC position 8."; 1190 case AD_PLATFORM_TYPE: 1191 return "Electronic intelligence notation (ELNOT) or communications intelligence notation (CENOT)"; 1192 case AE_EQUIPMENT_TEARDOWN_TIME: 1193 return "Equipment teardown time in minutes."; 1194 case AF_COMMON_IDENTIFIER: 1195 return "Example: \"Hawk\" for Hawk SAM system."; 1196 case AG_AUX_EQUIP_INDICATOR: 1197 return "Towed sonar array indicator: A graphic modifier for equipment that indicates the presence of a towed sonar array (see 5.3.7.10, figure 13 and table IX).\n" + 1198 "Determined by SIDC positions 9-10"; 1199 case AH_AREA_OF_UNCERTAINTY: 1200 return "A graphic modifier for units, equipment and installations that indicates the area where an object is most likely to be, based on the object's last report and the reporting accuracy of the sensor that detected the object (see 5.3.7.12.1 and table D-III)."; 1201 case AI_DEAD_RECKONING_TRAILER: 1202 return "A graphic amplifier for units and equipment that identifies where an object should be located at present, given its last reported course and speed (see 5.3.7.12.2)."; 1203 case AJ_SPEED_LEADER: 1204 return "A graphic amplifier for units, equipment and installations that depicts the speed and direction of movement of an object (see 5.3.7.12.3 and figure 17)."; 1205 case AK_PAIRING_LINE: 1206 return "A graphic amplifier for units, equipment and installations that connects two objects and is updated dynamically as the positions of the two objects change (see 5.3.7.12.4 and figure 17)."; 1207 case AL_OPERATIONAL_CONDITION: 1208 return "A graphic amplifier for equipment or installations that indicates operational condition or capacity."; 1209 case AM_DISTANCE: 1210 return "An amplifier that displays a minimum, maximum, or a specific distance (range, radius, width, length, etc.), in meters."; 1211 case AN_AZIMUTH: 1212 return "An amplifier that displays an angle measured from true north to any other line in degrees."; 1213 case AO_ENGAGEMENT_BAR: 1214 return "An amplifier placed immediately atop the symbol.\n" + 1215 "May denote: 1) local/remote status 2) engagement status 3) weapon type."; 1216 case AP_TARGET_NUMBER: 1217 return "An amplifier used in Fire Support operations to uniquely designate targets in accordance with STANAG 2934."; 1218 case AP1_TARGET_NUMBER_EXTENSION: 1219 return "An amplifier used to identify a target number extension which is a sequentially assigned number identifying the individual elements in a target (MIL-STD-6017),"; 1220 case AQ_GUARDED_UNIT: 1221 return "An amplifier used during ballistic missile defense. Some tracks are designated as guarded by a particular unit."; 1222 case AR_SPECIAL_DESIGNATOR: 1223 return "An amplifier that identifies special track designators."; 1224 case AS_COUNTRY: 1225 return "A three-letter code that indicates the country of origin of the organization (US systems shall use GENC)."; 1226 default: 1227 return ""; 1228 1229 } 1230 } 1231 1232 /** 1233 * go from "T" or "T1" to integer constant values 9 and 10 1234 * @param modLetter {@link String} 1235 * @return {@link Modifiers} 1236 */ 1237 public static String getModifierKey(String modLetter) { 1238 switch (modLetter) { 1239 case "A": 1240 return A_SYMBOL_ICON; 1241 case "B": 1242 return B_ECHELON; 1243 case "C": 1244 return C_QUANTITY; 1245 case "D": 1246 return D_TASK_FORCE_INDICATOR; 1247 case "F": 1248 return F_REINFORCED_REDUCED; 1249 case "G": 1250 return G_STAFF_COMMENTS; 1251 case "H": 1252 return H_ADDITIONAL_INFO_1; 1253 case "H1": 1254 return H1_ADDITIONAL_INFO_2; 1255 case "J": 1256 return J_EVALUATION_RATING; 1257 case "K": 1258 return K_COMBAT_EFFECTIVENESS; 1259 case "L": 1260 return L_SIGNATURE_EQUIP; 1261 case "M": 1262 return M_HIGHER_FORMATION; 1263 case "N": 1264 return N_HOSTILE; 1265 case "P": 1266 return P_IFF_SIF_AIS; 1267 case "Q": 1268 return Q_DIRECTION_OF_MOVEMENT; 1269 case "R": 1270 return R_MOBILITY_INDICATOR; 1271 case "R2": 1272 return R2_SIGNIT_MOBILITY_INDICATOR; 1273 case "S": 1274 return S_HQ_STAFF_INDICATOR; 1275 case "S2": 1276 return S2_OFFSET_INDICATOR; 1277 case "T": 1278 return T_UNIQUE_DESIGNATION_1; 1279 case "T1": 1280 return T1_UNIQUE_DESIGNATION_2; 1281 case "V": 1282 return V_EQUIP_TYPE; 1283 case "W": 1284 return W_DTG_1; 1285 case "W1": 1286 return W1_DTG_2; 1287 case "X": 1288 return X_ALTITUDE_DEPTH; 1289 case "Y": 1290 return Y_LOCATION; 1291 case "Z": 1292 return Z_SPEED; 1293 case "AA": 1294 return AA_SPECIAL_C2_HQ; 1295 case "AB": 1296 return AB_FEINT_DUMMY_INDICATOR; 1297 case "AD": 1298 return AD_PLATFORM_TYPE; 1299 case "AE": 1300 return AE_EQUIPMENT_TEARDOWN_TIME; 1301 case "AF": 1302 return AF_COMMON_IDENTIFIER; 1303 case "AG": 1304 return AG_AUX_EQUIP_INDICATOR; 1305 case "AH": 1306 return AH_AREA_OF_UNCERTAINTY; 1307 case "AI": 1308 return AI_DEAD_RECKONING_TRAILER; 1309 case "AJ": 1310 return AJ_SPEED_LEADER; 1311 case "AK": 1312 return AK_PAIRING_LINE; 1313 case "AL": 1314 return AL_OPERATIONAL_CONDITION; 1315 case "AM": 1316 return AM_DISTANCE; 1317 case "AN": 1318 return AN_AZIMUTH; 1319 case "AO": 1320 return AO_ENGAGEMENT_BAR; 1321 case "AP": 1322 return AP_TARGET_NUMBER; 1323 case "AP1": 1324 return AP1_TARGET_NUMBER_EXTENSION; 1325 case "AQ": 1326 return AQ_GUARDED_UNIT; 1327 case "AR": 1328 return AR_SPECIAL_DESIGNATOR; 1329 case "AS": 1330 return AS_COUNTRY; 1331 default: 1332 return null; 1333 1334 } 1335 } 1336} 1337