20251208 16583000 1.0 FALSE funkcia 002 Projected GCS_WGS_1984 Linear Unit: Meter (1.000000) WGS_1984_Web_Mercator_Auxiliary_Sphere <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.6.0'><WKT>PROJCS[&quot;WGS_1984_Web_Mercator_Auxiliary_Sphere&quot;,GEOGCS[&quot;GCS_WGS_1984&quot;,DATUM[&quot;D_WGS_1984&quot;,SPHEROID[&quot;WGS_1984&quot;,6378137.0,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Mercator_Auxiliary_Sphere&quot;],PARAMETER[&quot;False_Easting&quot;,0.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,0.0],PARAMETER[&quot;Standard_Parallel_1&quot;,0.0],PARAMETER[&quot;Auxiliary_Sphere_Type&quot;,0.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem> 20260113 12035000 20260113 13294600 150000000 5000 INSPIRE Esri ArcGIS 13.6.0.59527 Adresné body podľa funkcie Adresné body podľa funkcie. Funkcie boli použité tie najčastejšie a niektoré iné <DIV STYLE="text-align:Left;font-size:12pt"><DIV><DIV><P><SPAN>Adresné body podľa funkcie</SPAN></P><P><SPAN /></P><P><SPAN>K</SPAN><SPAN>ategória, km2, %</SPAN></P><P><SPAN /></P><P><SPAN>rodinné domy 9857,76 41,12</SPAN></P><P><SPAN>garáže 3447 14,38</SPAN></P><P><SPAN>šopy 2079,33 8,67</SPAN></P><P><SPAN>kôlne 2032,2 8,48</SPAN></P><P><SPAN>športové zariadenia 1379,79 5,76</SPAN></P><P><SPAN>bytové domy 1306,1 5,45</SPAN></P><P><SPAN>chaty 937,48 3,91</SPAN></P><P><SPAN>obchody 756,36 3,16</SPAN></P><P><SPAN>poľnohospodárske objekty 379,92 1,58</SPAN></P><P><SPAN>sklady 368,65 1,54</SPAN></P><P><SPAN>školy 244,23 1,02</SPAN></P><P><SPAN>výrobné technologické budovy 226,45 0,94</SPAN></P><P><SPAN>multi a polyfunkčné budovy 193,28 0,81</SPAN></P><P><SPAN>zastávky 158,55 0,66</SPAN></P><P><SPAN>priemyselné objekty 118,6 0,49</SPAN></P><P><SPAN>transformačné stanice 83,5 0,35</SPAN></P><P><SPAN>reštaurácie 76,47 0,32</SPAN></P><P><SPAN>telekomunikačné objekty 70,41 0,29</SPAN></P><P><SPAN>dopravné objekty 70,41 0,29</SPAN></P><P><SPAN>ubytovacie zariadenia 47,95 0,20</SPAN></P><P><SPAN>zdravotnícke zariadenia 35,92 0,15</SPAN></P><P><SPAN>cirkevné zariadenia 35,53 0,15</SPAN></P><P><SPAN>domy smútku 21,02 0,09</SPAN></P><P><SPAN>bufety 17,92 0,07</SPAN></P><P><SPAN>hrady a zámky 13,17 0,05</SPAN></P><P><SPAN>nákupné centrá 10,98 0,05</SPAN></P><P><SPAN>kostoly 2,15 0,01</SPAN></P><P><SPAN>čerpačky PHM 0,3 0,00</SPAN></P><P><SPAN /></P><P><SPAN /></P><P><SPAN /></P></DIV></DIV></DIV> Magistrát hlavného mesta SR Bratislava, ZBGIS, Ministerstvo vnútra, Openstreetmap adresné body čerpacie stanice PHM kostoly hrady zámky nákupné centrá bufety domy smútku telekomunikačné objekty dopravné objekty zdravotnícke zariadenia ubytovacie zariadenia cirkevné zariadenia transformačné stanice reštaurácie zastávky multifunkčné budovy polyfunkčné budovy priemyselné objekty výrobné technologické budovy školy sklady poľnohospodárske objekty obchody bytové domy chaty športové zariadenia garáže kôlne šopy rodinné domy 1 File Geodatabase Feature Class dataset EPSG 6.18.3(9.3.1.2) 0 Simple FALSE 0 TRUE FALSE funkcia Feature Class 0 OBJECTID OBJECTID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 0 0 0 Feature geometry. Esri Coordinates defining the features. BUFF_DIST BUFF_DIST Double 8 0 0 ORIG_FID ORIG_FID Integer 4 0 0 MERGE_SRC MERGE_SRC String 255 0 0 Shape_Length Shape_Length Double 8 0 0 Length of feature in internal units. Esri Positive real numbers that are automatically generated. Shape_Area Shape_Area Double 8 0 0 Area of feature in internal units squared. Esri Positive real numbers that are automatically generated. 20260113 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6QbjlASR/CG56kgE55zX0/Uba61GTT7dAfs2xo1mQ7osEZDbuVJz8uR2zk9A+ZK1+pXI5J21S1f9f194+0vTPeLp0Ucxt44t245OVwBsckkgnIbnBxW0Q6FdpYF2YZIJx1xx6e+R2qqnzXQZpXXZvwW+8MsPwYHAA4zjFTM6xRBFlZBhVVmP7zr6t149eevergnG92Y1HzNWX9dyGO1SOGdsRyRO376E8qBtAIxg5IAFaUbKyAp93txis+dpIJrh4jGoeDzEbG4GToSVAyeNnfnpUp2wM6QAu8YaVkD5JY5wMH157jGBWkbR0RlNOS1LtFQWkplhG7JdcKzFduTjnAqetFqc7VnYKKKKYgooooAKKKha7gSYRGVPNKs4TPJVSATj0BI/Olew0m9ge7gjnWF5o1mYFljZgGI9QKJJflkU5RgDjoSRx8wH41zWpaJ/aus2F/JOI7azWSaXzB+6nRh8qnJwApVWJx/CuMVlahqsmoC2iRZdRuF3xytaNFtnj4V2+8cIDsyoOSSMggGuCrivZJuUfTz2+fX8PS/p08HGpy8svXy3/Rfj62ua3du++C3t1kllCm1RpGQTOUYjbtGUGc7mPQFs9quaJpGotpDQapKr6gr+czLlowWySEyOBlnXucAU3QoIpNEhvjeW7XnlDfPCV2KACNoAyFAB5x3zWrbKGhitVctNBhgXLSbSFHDsTkn5vxFc1Gm5v20uq202fR26/wBd2b1avJF0orZ7+n6fn9yGRKJwBBC8UiMIHLqRhQQWwc9+OasWVjEtzLdqoImYOvybcELtyQec44+naro3GQ4I2AYIxzmo5Jo3k8kSlXCiQ7ewz/X/ABr0lCKs2eY6kpXS6kOq3UVtZzeduCMu35cZOeMDJ5PI4965fQNN/sFri+toYLVb6Ub1+TbNhQFeMITnOCdvU5/Pa1G6hkntpUuCBIfJ2tJiMksFOV45B49ckDmrOnQwXCRSIqSQxYNvKhGzBGPlA6AYxjpXPUpRq1Yze8dn26fkzrpzdGi01o9/8vv/AK0LlpbQ2sQWGNYlOCQq7c8AdPoAPwqpr+mW+r6XLbXMEdzGefKkxhj25PQ571oMwUEkgAckntVNLj+0oVkgXMO4MHkA2yL6r/Q/jXVOMZQcJK6fQ4oSmpqons9zMsfDU9pBFHFfNaIgClYEBLKIwmCWz/dBB9vepJrS/DTrsDxucp5cmD/FyQRjP3TzkHoQMZOpaS3MsRM8CwSgkbVk3qR2IOB+oqZ13IwDFSRjcOorKFCEYpQul/Xc2lXnze9Z/wBeRzMfhI6U0b6cY49rFjEF2I4w2FOPu5LLyB/D71o6Ul8La2N4IjdAb5pFUsoJHzIh3E5B/DHatSJPKjVNzNtAGWOSfqajtWaQSuVKguQAwIOBx0P07VFLDU6DSpqy7LYJ4idSL59fPqRfYpvJjQ3spdJA5k2puYZyVPGMduMHHemSQP8AbZXACwyRYZioGGBPJOQTwfpV+ong8yUMzsVClTH/AAtnHJH4fqa6HBMwU3fX8jGbSbkaddwLq0qSTlpN3DmEkZwnA4zjg9vTNZ+nyo2mLp91DNdhonmS/wBscodjn5sDIDHPAwc/nXUSRxJscxglflUquSM8cYqA6Tb7bdUVoUt9uwROVyF6A46j2PFcjwqU+eL1tbdtWvfZ6fPfpsdccQrNTXn8yva3e23lkRVcbTzCAWZwOc5PLcYx2wc1HZ3yXEMMdyXiumhWX7NKQZc5PJA4zx0HofSsjXTrejsf7Pt11BXaRlDn5l3HPBz8oUFuxzwPQVci1o3rvFGFuJoolLYX/WE4KtgZOOHOen15xjHEXqulJNNd1o79n1tZ+nXdGzo3jzxs0+z1Xr/X6mlHeWshkSJMiRiHMRCnf0YHocgnr65p17etBf28SFX3qxaIZLHGOemAOvJxyQKoytNH9on8vyljjfLshy208ZHock8HPH1pLa9XXbmzmhWWKN4fNWZUykiHblGyOuc9O3Oea6fafZvqYqkvi6a/kVZra3Ub7u5VZikJVIEUNCchfkCgsFZu+ePUVxni74qQ+HtVtrfeLiTUSIY4o4ciF8DZLIr4I/eKUAHXg8Yr0KaAiNoZCxZeGcQEqehBVRngfXgjp3rlvEvgrSNdubO8ubFINUW4MaXUUZcyMH3JuYc7d57g45HTr5mOhivYv6m0p3W/rr+Ddj1cFUw/tU8TFyj5emmlvK/5muNIN/dznyLYrDMNkjWwEkaKdwCjPXdkq3Tkntzaj1ie1eI3NsluCEWSSSUtjJyFzjO4L8zcY9+4u6ZHJaxSwRoqBXO0/MUJPJxn7oByMdOlWroQNEztsY4K4PzBj3XHfpj1r1IwsrxdmebOtzS5Zq66f15lO9uFSG1l+0zSIpyGhVWD4Gcvxx0xkY6/SmPqWJY2WXCSr8nmfdB3jdknoQGGBnnkduK1vfx3LJaqFtLkIQMLteIqDkncDjK7Tg84b6U6S/tbq2iVHFyCPLDrJ97JwCWUjG47TnHqBzxUqWrd9x+z5bKUTSndpXhRh5WGZwqt8zKPTv0PIx7ehp8zyCMzwqJApGFOVJAOGOe/GSPfvzmuVt/EF8bm8W/02VEsLqXYYbhd8ibC6nJKjpwRnjK5PBNbT6LNqdnNBcTGGzIVILeFiP3ezBEh/izkgjPGBg55pUsQq8XKmn801tp1XfyJnQ9lb2jSX39fLyt8i5b6lZRx24S9ikjuA80bPMCXXOSV9QM/gMUl4dUabNp9k8nHBmLbj+QpNL0sadplrbxRxwGJVBjUl1UcblUnkjOeTUllP5cbhpHPzkgTnDgenQcDoOvGDk1vFycV7TR+X9fojB8qk5Q19S1cTx2sEk0rBIo1Lux6AAZJrDh8XxTa6LAWsxhayN4l0o3AgNhlwOc8jGM5/LOjfT2MghS6uI1SVGKwyOAJV2/NlT94AZ4qrHaRRxzCzeOCJQA8RXchUncSORgsCefUj0rGrKrKS9nJJJ+rfl5fn1KpRpqL9ond/JI1ZbiOBVaWRYwxwC5xk+n1qGPVLSUfLcRg7VchmwQG+7kHpmsPxMzPp8Eki5ktZvMSURhtrLGx355CDG5c4OM15Z+0JoMevfCnUHeOdpLa1F7FHbL5QDbtwaRCwJIy+Bzyc4qMTipUKc5xjflV7dz0cvy6njK1KjUnyqckr2va7te2l/vR6N44+Lnhb4f3FvaaxqYivrlQYbWBGlmcFgowqg55YcdTzjOK5nwTNcamkviGC1ksdXl2Wkg1C3aN2gWVz5jxfweZgn5B95skHFeZfAHWdS+Jtrca54s05tRns5oxBcTW0bFwkIBRA3IY7hIWwBz17D3+9kmlvNPttO+y3q7yt5LOdzwxEcYAIxuKAfhnFeVSxU8ZFYnaH2VbXXS+/wCXS/qe9j8HSySUsAler9uV046a2SstNr3bu7FfVIbrWHl36bBc25UWyW8yg7kZsPISR93IQgc5C5pvhLQ7PwXbSwO0VqEyirtAZxt3klgBv53YO0dD1rc01pL6wi3u0W4rIDGxYqQwJUsc5BPH0p+qWcc9xaylYTLEWEbuDvUsMHbgjsT/ADr0vq0HNYlK8l1fnv59vuR808Q+V4d6R7Ly28iFZLaQL5VgspkDM0rRqo3IcZIPPUDBA9CKde6FY6rIzTbjONpLxuUIwSUyBwce+f1rPTVhpj2cM0vkNcs4RHj/AHjEKCcccsSOhAJDZ7VraeGeae4+RI5GzlVUeZhVAbIJyODjvjHpW8HCp7rV+67aX/4JjNTpe/F27PXXX+tuxDYfZCLxo5CWjmMjsX5yAOfQAgewqtoEkd5dX0kcihCcqseVKbi2cg98jv33Y4qlcQoi3lrFImnveTubQ4CSuxTEmzJznOSD/TGGafperXMU9rcanLPGs3Nw0ao8RQKUKqVIIJ5OfQYri9tP2sIqF1re1rX6X1T132fd2N3Tjyybla9t+2nl8t+61NfWNJuLrS7yC1m8uZ4j5MpY71fOfvdQOF6c8Ve01xJZREcrtGGwRu46kHkfQ81naFfnWLGK6NxJKIWdWaNDGsjKxBG0jJxjHofT00bW8NxNOh24QjbjOce4Ir0KcoTtUi91/wAE46imounL7L/4Ay9uZUGIgmw4XzC2dr54BGOh4HHPP400WrLO1zLdM0Yj8toQQsS85LeuQPeuS8Q+LrrRNOjmudKeaeWaOO28sgiWX0dDgr046njPatjS7q/1m0FxexRWTjDrDKjFUU8HcDg7sbhzgDPQ1yxxlGrWdGLbkknbXRfkdMsNOnTU3ZLa+j7er/rubtzfQWcQlmlSKE4HmMQFyenPvWTc+IbaZFi+1myf5GaRShIBYj+LIIO0jI9asW0UNtfJE/muSpaKV5RtbPO0KCORjOcfj1qXVNOh1REtLiBZLV1O/sR0wPYHnuOgrqn7SUXyP+vU54KlCSUk356fl1+ZFHfxed9nvLiHf95Y94L46gkD/PAp0d/dahZ+fZQiP5XAju42jJYEbT0+7jPb0rmm8NxWHia/nns7y5sdRRbdgCJYx1JY87xk4HcDHbNddELmO8MZWI2QjGx9x8wMOxB6j3z+Hes6LqSTU9NWvPyd/Q1rQp07OGt0n5ea9f8AIRheyyHBigRJcjq5kTb0PTadx9+B70iXM8NuBNC8ky4DFcAPyAWHOB1zg81cqs9zu37NweMnMeBlx7e2e/tXVa3U40+bSyJIjK6P5qrGdxC7Gz8ueDyOvtVS4nn+0iC2lQyqpdklQ8joMMOOtWrmaGGMedKsSudgLNtyT0APrVea68iEYcx4kUF5Og+YZGT654qZ7WuOCu72Kurh5pJfJuBYzwQ5E80StGwbOQc8kDbk4I6jNKJVuo3mupJLJbZyGcPsR1xx83GRg/n9K1gwbOCDjg4PSozbxBFDLuCEsN3POCCfyJ/Ok6d3e5SqpJRtt9/9fl0K13bRyWH2Y3EwUrncjkyMo5IB6njj15rLnN1qExktb9bXTFQJIiKDKrf3cEHb2z3+nWta1eG8kFwsDIUUojyJtYqcZwDyBkDr6VLNcpGj7WjMgwArOFyx6DPvUShzq97Ly/r/AIcqE3TdrXfnbr/XyKViFt1XTVU27RxIwaIkoD3VSfTHT0NZ+pzX/wDavlpJEVhg+0eXAFE0hzjA3ZwMA9ueBnrWreXMNvax3V1DINrB8bN5jIByeM4wM8j+tcL408dWWi61pt3K1vdWkAMnmu2DASpBPHU4PQ47++POx2LoYCh7TEVOWKa8tG7I7cLSnXqe7G9099df+D6+mp2P9oB7V5xDugPIXYzHdvYcjGc5wT3HNTTJaLozeYj3FvDGSRsMr/KOcDBJb2xmsjRnhl0mcWtqz2pCGMqCvmI/fZ0BCt0PPAzyMDX0aRngeQq4WQ7huQpjACn5SMjJBPf61305c6XmjCrBU27XVn/XzMzWNMj1S5jjmlmWFHEm9SYijMCEAAX5/oT9fSo7RJF0TZNfNLNZyMJJ7YoWkVQWyygEDI/hAyueOma0dQkkkBubeKXzIgHAjG15cAnY2QflOcYxnNOMsKS3N0XjEUUYaRxHwCpcPyOScZGO3vmsnRg5yfff+vK39XNFUlyJW0/X/g3/AOBdCS6jY2QWW+vbaMpw8r/Ihz8p5JxnIx3PbvVyPVLORQYriOUFSyiI7sgdcY61yT21x4ikuLXU9Os9Q0JH8yye7G/c6uRmQEcY6DjnHJya6WeSeNx5jDypAFVIztCtuGPnznJzjAHOO1VRrSqXklaPmmndOz36dn132Iq0YRsm/e9Vb/h97rS2xYtLn7fDMXj2qJHjCuDyFYrkg+uPyrKvpLtGhFldRRRGMMQqlgWJJJ4U9aS3nuHm3Ot1bGNyAcKyzfOwIJ2nAyc8Y4APYit9Au3KYwefl75710L94jOVqEr2uu25l3tzJbwJNNabzCV3siiQjPBxnaeh6j34pEkS9vZLeOdZ0tph5sCx4EfyhkyfUMM8eozViydUiSZNkFlKoZI2XYQWJOTkDklhwe9WIY5Q4aRweCMKuM5PfnsOKzUZSad9P69N9OnT7pclG6tr/Xrt69TDurDUree4vZ9SgSBQ7RqYtkcAw/zSc5fGVzyo4zxRqWijW4DYOyzWxBWWWKUo0TbeAMHIyCox6E5PPOhcTLdyQgq8kDuAiKuVYght+4ZwBjGGxnGO4qaWWBY0uo2d1jRmWOA58wAdlH3jxxUKlFXS2fd39d76fporKxqqtSPK1o+llb026/13OAm0Oay8YBvsktrp0dqhub232xWzOiFI42RiSy7WOSBj5VyT/D0/yfaNUwsRmWSGWW4CoAqIRwxznICs3PTcKu2xe9t5p70I8Txlhb8j92d2A6HuRjPuCO1cvrvhq9vbXQHttSk04ean20W6gSOj5woPsXI56AkgZFcc4yox56ceZPW2ieunXTZ377npKt9ZlGNWSi0kr6vbX9Ldtux1NpcPa2dsEtngj2hpTM5cx+o7knjr075NV9XvDLqVpYyAokrEpLDE7ujDODuAwvOOTkdjwatrfQ2++2sod/kqCSCViUZbjdzk/KcgAnkZ65rJ1a/uXtroxyROzH9youFUTICDt6/LydhI5+ZeldlSajT3vbsu3ocFKDlUva3q++z1v/XzZIgJma6mt41aRdk06OMgDILAkjAGc4xx834x/wDCQabHqKWFxcpcTJEFaKP5iWIOSFxuICk854B79iKB9WUNPH5cso2vGDv2uEBC7gNqkNk5wc9D6VoQ6et7bS28tvNaSMoMk+4FiSCCEbsccZAHXjnpjHnqJOns9dVv8tLP1NpOnH+J+D2/O/yCOaW9v41sjHHbWrmNw6Z3AYB291I5APTg8dCL9raCxhZFdmycK8rFmP1J5PJPeqsVu1lq08uwCCWJAZizFtwbAXHQ8d+1Nm1COXWH0+WSGSNoxIqxtmSNlIPzD3ypB9j7V0QSj70t7/16LQ45Jz92G1r/AOfz1JbES2sC2Sx4ESBFmZx83GMkcnJOT3+tRaTZjTr+7jUZMzec7MxLHhQCM9uG47Y96pzzR6jDcKJoUmjHmPdMmAu1iYyGK4IHr/8AXqyukzeWC9yZ5WQgoeI2Ukd+o49+fwrKMuaS5VdR1T081b17ltWTUna++/3lbxXow1KJBFBC8+9ZA0u4fcO8AFehyvtkHGasjGqykoiyW9xCvmEjcuOuATkEEMOg7Z5rM8S6NqFxbSHSUSSVHCCK6Z9hQ7dwAJ2nOBzj171oN9r/ALHxNZzmaT900VtIEZFOfu/MRkcDOR+ArnU7YiovZtaJ3to99L233+TNv+XUEpX1+a26X9PuNW3dZFVJAqzhFLxFgxX/ADzUzOFIBOMnA9zXk3xm8d2ngTwy2pPqllZ67axmawsZtrSSNhgq7c7sYzk9O3evPvgT8UfHPjy61jxHqcz3Gm2NqYjbRRfu3mIBCqiKWJ4ySM4yRisaub0aOJjhOVym+1tF3euh61Hh3E4nAzzKMkqcdNbq72SjprfvfyPo+K/ee+MUcBMCrlpScYbJ+XH0GfxFXM1yvhm21ybzbrXJIHfcphhtC6BGIw5YNjgHoOePXjFue3uLRtPm09BLNLIsbvKrY8o5LlsEfNgcEg88cZJr1YVZOPM0/wBfuPBqUIxm4KS07bX9TVKuuqhvNbymhI8rI25DdfXPP8vaqesB7qECC6WymSVdjSIHWbABAKggkc9AQcipFilsru0g83zrVkky0zEy78grg+mNw/AVJJbG5kiZyxVMqPLbHUDnPU4/CqkueLiZxajJSuIkskszW16kIEhYRqCW81QBzgjjGenPSnLA8c08ccaPEyjJkPU9NuMdMY55p0odd8bPyxLx7VYYAx1bPXOfqD04NNeVI5LV5W/ftwEjGc5xye+BxzxT23ZKd9jEubi4h1i1uPssFtErlb6XzSNqgHY3IAOT/TJ4ratL9LhB5qMJVJLLt3bDngZXIzhh+BzVpWPCsC2c5PGF9jTDbtJIzNLIqHjywcdiOo/OohTlBtp3u/u/r82/lU6kZpJq1vP+v+Gt83M0a7pgFDAAM5GDjr1/E1nXOh28NokcKssa3K3DAkPg5yT8/wB3HXjBB5Hob5tFWEogON28BmP3s569etVJtIS4tUt7hBcRlDEd43EA9cknnoKqpFyXw30FTkou6lbUlkje5uGjV2WNNqyLKodJVIOQOeDzyT6dK4XUPBej+J7G8O9BeyNGhMcQSQRg5Kqpwcld/UnuR3FdnbwpbyJi/mcoVjKTsMtjcOeMnJPXuVFUxZxaZBFNHH9tuBcqks4w7DcwG9uBkhdvToM15uNwscZFU60FKDvzJ66eVuv9bndh60qD/dys9Lf8G5Q0aaS709DvtZ7m5AZikYjcqrN+8KfNyF2cHv6ZxXQreRWVs8cULuLdCqwxJtZ9qgkKCAOhGMcflUOkaGukMwiYJGWYkDkyE4JZs9Du3Hjg5pdWtWFlKbfC3eT9nmYF9kjHGSAQdoyMgHpmuyjCdKkr7pf1v+pjVnTq1bLZv+v6RlaraWsAvtUld4tQWCRgwkOIEKnaWUY/u9wTnjJxVq9trcJb6lbiQySFEkMeU85JSiFmA7gAHPUbewJqwIwLuVUeCSznQmVBncGwOQOQQwIz+HXPEcK40cWNqyW8sVuGTZAfLTkhVA9tuCOv0yKlQam9rP8ANdS+d2i7vS33Pp3X9Mq6cnl/aZXVFvSzmXylePeizv5YBPH97IHUt6EZ1IJLZRFC0gjnDGQRF9zqSCe/PQmkYtefvoHdWLAKkg2K2wnOQRnBJ6gdgRxg1RuJo4LtrhoTM8yhBcEGJSA7BUJBzxuPbHU9M41vyJEP963ff9e3y1/Imt7pNQuIms5RPC6iUusikCNxkD+8AQAw+vXFa8UKQJtjUIvoKisLKLT7SOCEMI0GBvcufxYkk/jViuiCaV3ucdWak7R2/rcrRXFvqOnx3EO27tpYxLGVwwkUjKkZ9eKjWaW8Kxm3khhkiDs7nB5BynByGHHNMuJIVsxa20jK7RfultiobaMDK5+XjI61ZllWytS8j7ljXLM3UgdTwOtZp33ey17FWtst3p3M7xHcSWGmrIhbykIDhZfLdv7qhj03Nhc+9OZVhuEjVIYQkmFE5++hwTsweMNjsenuKz7K+muGjvpHkMF4xEBZCgjjA3KzAHOCRklv72Dt6VS162u/DdlqWo6bZG+v3KtB9qnDRxNgKdgJyoO4jaOpHbNcdSsoxlXs3FK76uyV9Et7nfCktKTfvfg27L8Nf6sX5rmI6NdlrxLy0uV/0eRcIMnC7dwwAS545yST6VDbapa3mpyG0gjN5GJYY4w5RysR2/MPuldzE9e69+BPYXk1/Z6GlxbiOV4/tM+cqIygGRj13MOD2BpNNiil1C9uIraBL2eBGJEBz8zMDlzgNjAyowQV56is1KdRwlBqztutdr9euu3+RWkVLmXfrpvbW3pr/wAEfsVrSzjUMY1m/wBejIqyA7gcY5HU8D0A9qia4vL6KyS3cRvcRS3hwFyRgBE5GP41OSD9zFPuraW6kg8y1uYktkW4RISiKWTcPLJDHcGyDt6D17VUtdRstXtYb1ja/Y9ke6OZvuQ7dysoK8kllHHHHByMVrJ9L2/pDirrmSvb573/AK+WnQ6exhW2soIljMSpGqhCQSuB0OKhubyLaUcypMI/P8uMEuQpGQMcH0x71mf2hcXZe4mH2WziwjlZCpyeHHzY+UZUhup5wPXE1zRr3Um0+2+2NBYCaOSeWzLJMpWX90BznDZwxxyNxz0q6tdwheEb/wBWv6foYUsOpT/eyt+Pn/S76Gz4m1CS0025knnNnC0sEdvNbuDKWdgv3W4zk9Oc+nasHTpYvEOoa/daKsllfQXAsLzzYUInZEG0tg52qGOMHPPQ9K6qWfTZIl09oh9lkjUIVjPksCcBVYDGfYetZ+jaBB4fhvNRuoY7eeVvPnhstzRB1G0Oi9dxXGcdffvjWhOpUVn7vXXVaPZ9N/uudFGrClRkmmpdOz23XXa/k7WK93Is8ix6ja3AUIzTtclVtVEZVlkKbiOWA6HPWm+E/G8Xi+Ka6t4pVsHmEMLOGG/kjPC8DC569x0zXQC1e5XfMCHLMo+6xC7sqc9B0H6elJZ2NraXMslvG0LMdpyDtbJLEj8Waq9lWVWMoySj1VtX218tfmzKVajKlKMo+90s9F3+/T5IS4hhivY59ygkNuJl2lgcAcd+SB1HasrUU1S+N5p2k3Eulzgh/wC0Z7dZomBb5lQbgcgcZOOcdeaytO8df8JHrd/pK2O6KEkSXSMHhTrtjZhjMhIyVGQACCfXr9PtoIGmMSkSZVHY+yjAHoB6DjrV05Qr39m/dv6eTHUhUwbXtV71k0nZrur9Pk18jyXWfgXonjjS7q01xZtT1C38uK31WeYS3ciLhyCzABCSWBXsCPau50bRbfwJpgtNL06ysoWChIbeAoq7R8zO4zu9s49Oa6O5hDSfK21n2hsFs8HgjHTuM/TPSkvpY4IHllh8w7c7QobkAkAepqYYSlRbqQSUu5vWzTFYqEaFWblC9+W+l9Nvu6fK1yD7T9o8pYJXwQJRKD+7dWBxhiCDyRgZB4HbrMk4aVFkEYaNWYgtllGcK3PTIz1/pWYbiSOYWMN3Hb3knKvOwfcoychBgZPORx0zzirR0+yjlR+VckxFgAMgjAB45Azx9RW0ZNvT5nBKEVv8iaZgt3GQkgEqsmd+AG64x74PPtSpK8U8Qc5VgAflJYOR044A49qoS2ky2vmWtwGk8vEbSsXV2DZUlhg8gkHHGD6Cn6Sbl7EQ39zbM7YQpb7sq2Om7Off6d+Kn2j9ooWeut+noDguW9/LzLjP5fmGLKlXAxKDgEnqB3Bye9Otma5uZXV1EKZRQvXdxnII7Y4+tC5aN0kCCVUO9VIII5wOe3P6U3TI/s8W1VG1nYkp03Eksee2ensRW6vzJdDJ2UW+pcjVlGGcufUjHan0UVucoUUUUAJgE9KOlLRQAUhAPXmlooAx7q0ijvkT+zBcQyFR5oVcRcducjGxOgGODkmiFhFN9pYwxQq7LE3ynzEb5jtPYsxGck52Z71oXtvJcwlYpfJfBwxQMORjkHrWZbwXDXMK3iOTGX2xx/NG6gfKW4AB5OMe1cslyyskd0Jc8NX/AF/WhcS/mkZ9kKYAym6QDcCBt9cZOR+Hehb5bxZbdkaCcl4wsg3YIGQcqe4IPUHmq13pDaqDJIEtzlJEUJ8wZRlN5B52uScA4/Opv7JlGoQXP2pmRcmSJ13AnBxtyfl5Oe/QAYp3qX20Falbez+e/wCJogYAHpS0UV0nEc54O1uDVLOWK309dNeGRhJbxkMiHccgso27+5XqMj1zWT4hurq/1WS2tsRW0d3Es8yIfNzsIMeGUg7wygMOB82SMCuXT4mW+n+HZNPijGmap9rkSX7EplWMeZlpAeQSSTwTz7DFb0Gty6j4bTVmkt338b5JWK2fyjG8JnJJzk8cED6/DU85w+LgsNSqKU4xUpW0t5W0aa0vovlq19RLCToVpVeSybsle/bXrdPpq/npfrFs2WGWOchkPyW/lQhZLdGG3GckHHr6dQar6dE1pZmII1wofy7mB5N+04GWUZOFIwQvoegPFc/rNjqsuo3Grfb3eOzh2rZpMEtmlGCruOSEGXDZJOBnAxXQy3FvZaWba/gYwRIquIhv4yApCqS4BOccZ+U5PFfSU587lePLbZvr5/10OCVNxjG0lLmtovy6d/vfqQ3Vs17ZatAi28gkT7Ha28rlYm2qe+085LA4B+5+WBZXG3Q7ax1hGsL+aK8e6aKRZfsoKlnHK8g71YLg446gVt6jHcD+2LYzpdztGtxBC8ZIjTGwj5W3ZYhuVAxuqzLrz6Ppk93qsLFIESR57W3dsqxOfk5YbQOeT64HSk1FScpPlST32te/6d9E+5rCbUVGK5rtWte9+Wyt33101a7XHXELGV3S/lFrEieYElREhaM7/mOCfmBAYenpXDQeCpofG2n6tLqi6vaoHuNOaUKI0Vmy0YYAlzsLMu0fwdq7yxtdPup7y80+VBPe+TJcZySVAwMocbdyjHP15rNOnzR6ZqHlB5RFIbi3hjRQbdlRSI4iwwcnPzYwNxHGKyxGGp11Cc1flfMrN9NV697O9ntsVhsRKjzRi7XSTurbqz9N7XurrfVjrSSTStGe9vXjjijM5e5ZFjWOPd8rbc42lVBOecnPAzi3pEZvwl3bzYtrmIS+YvXpiNRkYwBk98nHaqcd5Y32l3klvcQPFNEpExYSpsZzwQOMBi64/wBk81rrapZiBfJCiGMxpLEAFjGcKAuT0H8q6KWrTi7xS/4G/p/w5zVZWUrq0m3/AJ7er/4BWvjLDqFlBHcRqVjwd5XOAQd23cB/CRkLwWHbNTQzyXlvGZkEkBEbq2SGY5yeFHY44+v4suPNe1gknKkGMhyFV5FyeHBxjA4PT86o6BpF5pV40Ml/LfxYMkbTqDtzt4yAOnJweeeOM0nKSqpKLafpZbWum/Xp6kJRdO7auv8APWz/AK0L/h5Zbq0luJ0KxXEnmwxspUqpAPKkAqd24888j6C9NLM2TAg3Kdvz9Oo6456ZP4VW89p4JwkjMtufKlDOoLYxuO4dDg9OO3TrUcFw84WaQiO3uJdixPGSSoBAz6ZxnPpgVvFqEFC/z/rzMJRcpOdvl/XkNt9KtIWmRLcQZzJI6LhXZvvMQMAnI64/nVy2cTPIy/MI3ba2SFP4fiR+FVrrVnXWjpcMeyaS3M6TtyuQwBGPoR3o8xr1JbQoHhJeJpWbBcc5VcYIIzj8D9apOEXaP9MqSnJXn1136d/+BctF/tDgg5IxujLKVzg5XPXPIP4CmxTRzzFWcyBcgx7eF6HLZ6H056HvWZaabGGvLe4csryRylCgiUOD1UgZyzLnlieRWhbQm7eOSeN0kQBtysFXOGXA2k5HJOCe4/AhOUt1b/h/6/4ApRjG+v8AX9f0zMu9CtrnWRqn9k251IL5S3MhJ7MOcjAHIGQCTuIxjmrF3ezaZqFuvzzRyyiNgij5chsFumBwAMfrWxc24uYGiLFQ3cdRVW5sGae2MLPGgfMgVhgjBxkEHPJ6e/tS9goXdNWbd3ZLV9f+HHGup2U9bK2vb+tkEct1dJEygRJIu4hgCUOR8pIbGcZGR6VFbw3H22SV5o54pVCbIlGInGcsTnn0/Ae9NlPlavGsQK3DxF3GSUboAD9MccevrWlFEqFn2Ksj4L7fX6960S5n6GUpci0W6/r/AIcqLZzyOzSTNgKyhRgZyAM5wT2zzn71T2dotpGQFAd8FyvQnAH8gKsUVqoJO5i5yasFFFFWZhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHIeLfB9prutaXNcuqWwEsc0IjA8zKnBLY4x7kc4wc9atx4aTwvHDp2kaRFeWF3Iu6KSbmBgMbwGOSAOTg5498jt5I1mjZHUOjDBU9CKqS6TDKVcs5uIxII5ix3Jv6gH06fkK8SpllF1ZV4wXO3e/VaJNap6NL0+ep6VLGTiowm7xXTpfWz0ts+u/wCRz8N6uotfQQSW9vdWjgTeSyk2jMis+7KlSSXOcnkDI5BrY0+2CRtOkcM09xGN17FtBlAB2ZPfAxz056VntpdzYw2tnbzGW5iQkX1395jtx1AwTwucjpnvzVVmvbSW5njFzpzSFovLlXzkGOElABwOoyM9hwOa1g3T1mtfy/S62/LTQ6JRjVVqbS/X9bPfr566m3cWyxX1ndGNFlOIGZmyEUhuEyRgltvQc4HHHGfNoskOmw2E98t8UuEkgN7l5HRSC6tgje23fjj0yDg1U0vUr/WJBbavYCG4hkSSJcMi7gWIOScPgAN8v4gYrV06a5ubuZzPGtzHAsc1m8YBV8koxYEnBBPGSPocitKdSnXSkk7S76PzutNfLczaqUdG1dW8/Sz1018l0JLWRpxZTWtmIre5jLTGVTFNF8vyDbjtyOcY96dYQPDNdboYkYFY45FlLtKgAAL5H3uPf61V1CK2t9Sj8QfbbhEhjNrNBG4MTgvgFlPQqxPIwQMg0msv/wAI+t1qNnYLcTzqWkIcqXcLiMHjGDnGfp1qpy9n772jq/S26STe/TT16PPl57Rh9rT532bbS0X6aXK1oL26jtw9tGJ4ppI5AznAAbeuGB7gAcZxkjsRVxExbNKrwqRdAlYod4SRmAbJPUjLDcMcHpxVbSo2k0WwkbRorO4luTI8ESBfIYlgZPTdjr65NXrsXluyRi5GHdEST5Q2AM4bccEsQRlVyM9PTCg1OnGerul5PVK3bXv59jSo7z5VZav89e/9dx8CyRzWgtAiw/MkouCwkKD+Jc/7Xr2OfSi7by5ZYdxOWS4wDyqKRkAc9wOw+961Ve5ji1K7sxKtuoQEToytLC0hYkndnCkquMjGeOe1iR0g1eTy4IjOsESmd1wxDOQBu9OCcetdCkmrR72/R2+4waakn5f8FX+8nkCw3MztO8QZAxLN8oAOD8vbtk+9VrSRbW/htWaRlMcmGZTtf515J6E/MPc81asog9xPPHhIpGIZMf6xhgbjkcfdIx0OAavVvyOWq0/4cxc1H3X/AFp+hl3MTS3AKeefJdXxG4wxOQUbPbDA/limSRNKiiC32MJDNslQLhxg4DDpnPXnqa16Kfslr5kqq10KoimDyPuJLsuFJyqrgZx+tSW0Ji3lgoLHICjoMAYz36VNRWqikZuTasFFFFUQFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFADJYUnjaORQ6NwVYZBrNupJ9ItS0MJvfLhIS2iYI7kY4UHj15yMVq0hAPWs5w5tnZ9zSE+V6q67GWdIijtbeyiuJ4khC5O4s7pk4UueevvVkXm/UPIQBo2jbMysDtdSAVI9ec/hTJLa4Qx7biYrHuYhQhMmTkKc+nTgj61RutPhVwNLS3N1DK87Q+YEBkZSC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