["$ sql..H$ ","\"g3SqlParameter on commandcreates empty array","YVXkjXXV8V7;XV8V7.Data.SqlClientVIV9V+X{XYV$Y{jXYY//XYYVcThe name we are trying to match.XYY//XYYjV? dogNameV_jkFidokj;jXYY//XYYVcUse preset V? VVconnection and open it.XYY//XYYjV? connectionV= =XYYYConsoleApplication1.Properties.Settings.Default.ConnectionV=;XYYV8(SqlConnection connectionV_VXSqlConnection(connectionV=))XYY{XYYYconnection.Open();jXYYY//XYYYVcDescription of SQL command:XYYYVc1. It selects all cells from rows matching the name.XYYYVc2. It uses LIKE operator because Name is a Text field.XYYYVc3. @Name must be added as a VXSqlParameter.XYYY//XYYYjV8(SqlCommand commandV_VXSqlCommand(XYYYYjkSELECT * FROM Dogs1 WHERE Name LIKE @Namekj, connection))XYYY{jXYYYY//XYYYYVcAdd VXSqlParameter to the command.XYYYY//XYYYYjcommand.Parameters.V]VXjSqlParameterj(jkNamekj, dogName));jXYYYY//XYYYYVcVYVSthe SELECT V:s.XYYYY//XYYYYjSqlDataVYer readerV_command.ExecuteVYer();XYYYYVQ (reader.VY())XYYYY{XYYYYYVZweightV_reader.GetInt32(0);XYYYYYV? nameV_reader.GetV=(1);XYYYYYV? breedV_reader.GetV=(2);XYYYYYV%jkWeightV_{0}, NameV_{1}, BreedV_{2}kj,XYYYYYYweight,XYYYYYYname,XYYYYYYbreed);XYYYY}XYYY}XYY}XY}X}XXjXYj(This varies depending on your database contents.)jXXWeightV_130, NameV_Fido, BreedV_BullmastiffjXXvar parametersV_VXjSqlParameter[] { };j","A)EEABB3cBC| 646649464}4XBs~C(C*BC R#BX","SqlParameter."," This class makes SQL queries easier to build. It is part of the System.Data.SqlClient namespace. It is an easy way to parameterize queries.","An example."," Here we see the simplest overload of the SqlParameter instance constructor and adds it to the SqlCommand type's Parameter collection. There are other ways to add parameters. ","SqlCommand ","sqlcommand","The most important thing is the principle of parameterized queries when using SQL databases.","Example, notes."," The program shows the SqlConnection, SqlCommand and SqlDataReader pattern. These objects can be wrapped in \"using\" statements to ensure the best cleanup of their resources. ","Using ","using","Example, notes 2."," SqlParameter has several overloaded constructors. You will not need most of them. For simple cases, you can simply use the constructor with two parameters. ","Parameters: ","The first parameter specifies a string that must match the query variable. The second specifies the value for that field.","In the example, the string \"Fido\" is specified to match the Name column in the Dogs1 table.","SQL injection."," The pattern shown here is ideal for preventing database attacks. Hackers insert \"control characters\" into queries issued over the Internet, in an attempt to gain control. ","The SqlParameter syntax here will avoid all such injection attacks, rejecting the command by throwing an exception.","Empty array tip."," Sometimes we need an empty array of SqlParameter. We can use an empty array initializer to avoid having a null array. ","Arrays ","array","Thanks to Dean Goddard for writing in with a tip on how to use an empty SqlParameter array.","A summary."," We used SqlParameter to parameterize a query in SQL Server. The example here will not work immediately\u2014you must have a database and connection string in your project first. ","SqlClient ","sqlclient","The general idea"," of using SqlParameter in this way to avoid SQL attacks is useful. Performing database queries is a multi-step process in the .NET Framework. Some setup code is required."]

%iVBORw0KG;)NSUhEUg?AM)CCCAM)nkjdS)MFBMVEX:/98fG6jo2HX14H:5ns7I5kZDw/PzrExHW+vr7a2tru7u719ZM?ACampojIxX0RIh4?AES0lEQVR4XuzYW26EMBAF0emXbV6T/e82/xORHxKjK6pWwBFgq/sl0PFLLwnAOE0EEHWWCKDyrMcB?AI95IGeO9xMwB?rgQgKEOiJsBAMpMG5Cj5E+hkgaY+k1cPpgHngM)Aq0XiI2H/zEGpBg?oCJSfWh8N)O8G)7Zu4bgXwBtrEBTpvgHk)ArBaJ+MjZn0+Nmwo?ADRuwO4EIC8HwBgqAMCwJUAROzSgN1aqV9@g0o+X8gi3ngTwM?AD7cyKidVmlAdZaN2GAeebe3pMA22LbJcD6/nzUY8/M6HMA9mVuV/zWzT4ER84DrO3iEGD+81n7yEy3KYDlPwBLdzfbNADf7ZjhktsgDIRvRS0ZSMT7v22NsDdcUtdz7fTaztz+8ggh9OFIBL8AlLzJ4WUmyuWtZq+jYjhSuz1M+bWwgBicYoRTdeQ62QZADpW5sh3MYV5sT422PABifgR23WXlfVdtQMMbDGLYp7fuhaYiesf7wlSIwMznGIo3twbpcWhT2QB0l+/0aCOAMsC8GAyFNtV1A9ChthHwG4dgLmppy9ZaBegNCuDbF2AZ7pq5rxq2aASYG8NdJaLfANpmJdvzkuWwKKZakSOwoLB+Zmk+Bxhmu/WhpRFglWPyquwr67AwVQJwQP0E4CUvYALgfMEpgEM2Lc8Aacsl9U84CRuDcgM6UJK1c8FZVZvjirEc8ADoBpGFqcZSYRyCEyCJAH3oZrEWF1vHVoa1mGzqaclQWB2ApSeAgJaIZylIuQE3Naje3u9fauqwzro0AkTiQJMjgQoAUcQIHSVgYgZk1z4mYeViCgN3qwAYRYwQy/YHAEuLEIIngJvi2PVWj0Nkac53gfwASN1e23jZ5220HH1G1/HT5GIGZnfSRk8BgHiJrT4BKMamjaQiPcLXdhvP3ARnuCeAyx4fqysG1ocBYo2s4UmAw0AX8YPKuIP0uD/qAZKS/hwg2z00A/AR8gcA2lH2jnBm8Blgz7rwgDgBcEO0hdAnARAZcgFAnQJ4i0bzlwD8dwAY6+iM6dMAmF9W9qPoSB8DoGVt6Pq0GnDwcDFWK7vQBwDYksP10wByNyZjOS/7+h1LyyUABwgwjj9YugKgO1XAkxhAvgZAzh43IHUG7L+A7AbW4DlADIQ7DIUBDDlO8muA3FcR8x7A4xjf/wul/qD5AmBzg0qa/szVtkQNQsZfGb8ACPhFFLIKeMlc9qjXALUFpqhI0hJ+kwQXANTK7KDsgnF2XgBke275tnL6RQ2EAC6n+VcBEqbk3OSgMrxdARCYALnJPr3pJUAQLA+A2nSWFd6mxpDHla1VxlQV0XGyUhUNIgKbqMBpL3Kz7q68fxWY9umWG69p9fFYLBJ7uQCqoTvmWYV31+kKnHOdNiU7hhsVrgDNjFHPv2QCfrjTULhk1/RYaKW/M8AHxLr6H/UF8AXwBcDO9p+Kne3f0nf8JmhP+6c/xg)BJRU5Er@ggg==$/9j/2wCE?gGBgYGBggGBggMCAcIDA4KCAgKDhANDQ4NDRARDA4NDQ4MEQ8SExQTEg8YGBoaGBgjIiIiIycnJycnJycnJycB.gI.oJCw@Cw4LDQsOEQ4ODg4REw0NDg0NExgRDw8PDxEYFhcUFBQXFhoaGBgaGiEhICEhJycnJycnJycnJ:BABEIAK0A+gMAIgABEQECEQH/xABb?ADAQEBAQE)))?QIDBAUGBx?AgECAwQGBgcF.EB)?ECAxEEEiEFEzFBBiIyUWFxFCNCUoGRBxUzobHB0SQ0YnLhFhclQ1NjgpLwNvH/2gAMAw?AQAC?A/AP38)))AEw?E?AXE2K4DGIQ7oQAO4syEwuBVwuRmDMAWNLhcjMFygLuFyLjuAWKuMi5VwAYybhcQigFcLgAw))))EIABtWvwsZxqurJxjpZX11JrqcodVdX2vgVGOSK0+I9Er82RduVuCX3iddZsklblcu5lVWaL7+KZNKTyeWgna2g4yallbvzRrciVSEeZFWbjHTiRGnG3W1b5C0tqym3e0Vd+J0UpxnfKxN6swSVKWePD2jeymlKLJb0vHUcW72loybmjfUM8nvcDGti43yxWnOwo3a4BKUVxZtmC5lCrGouqx5gUtbMpWautTTMVmOfMXmNUx2NbjuZjKCxpcHJRTlJ2XG74Izc4wi5zayxWt+CSPltqbVqY2bp0244a/Z4OXjI1o0JVZWWiXFnHjMXDDQzS1k+zHv/oerjOkNGk3DCx30vf9j9WeTW21tGq/tcn8iS/qecdWHwGLxX2NKUo+97Pz0R6UcPQpK7S/ml/U+fqYzGYiVoylrwjTuvw1YvrDHX/eav8A3l+p0UdtbRpP7bP/?zSf38TT6g2hbsx/wCyOTEbPxmF+3pSjH3uMfzQ74afVWSXhoS446l13voLv61vie/g+kVGraGKjuZe+tYfHmj2oyUkpRaa46apo/Pj09lbVqYGap1G5Ya/Z4uP8v6HNXwKs5UdH7v6Hdg9qyuoYnVPRT4NfzH2AEQnGcVODTjJX8GmWeae4)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?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?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?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)SyeZTJY0MmXEzZpYVnfgUikZCsWyqa4lXHcndSsTKLhKMraWsXd31KzLI+diSZarVhO04dXUnuiOlJez8jW/gSybc+JMuwSr2Ky+I8qENENE5nH8iyJpu1uKHYZDevBeDKM2pXXK2pSmu80sWjWIzPMUmZygJooiRTZlKUszy207zLc3EtCWc2KjhN2/S3DdytH1jSi2+C62jOhSzRzHLisLhMfCNHF0t5TzKcc10sy4PiilRNNLa8zn2fQ2Z9ZYrE4SrKeIpKOHr0rvJDLwtG1vZPbijgr4BVcPXpYWfolavbNiKUVn49rldnbQpyp0qdOU3UlCKjKb4yaXafmPKRKy0HupJ+rlbwY4wd803qaAVqZZUDSsQt54PxLGFxtX8CYxd80nqyxDAEr?AIBEsoTGMmxLLsFojHczyjisvkNxFYdwuGTnfQmOXNKF7y4suzJdKMn496DzFK+ltbBK2eNuP5GhEacYefeyxMSvqwABiGSzOTXeasyTWaWbR359w0F7Gc7ZdOF9fIicVZOK15WNYq7lbsvgDpxj1rFp2KTurk2MsTiVh4Zva5G1pcWl+Zx1acauKyT7PV+VrlQSb63DiRWqNR6ujbsr+JzZcfjLzjOdP3bSyr5IwhiMdhKqjiM04S+bXhI93Isuq5GGKpKVFuVrcV4eRrGsm8rhHK9LWOeWHcVnjUlnWt76PzQovNCPDJJW08TRU56ZrWXdxdjLAUnumpa5ZvL3Wev5naomU3ldjphPNBSel1wFGJpYEijJsbdxWAYCE?MQg)?ABAM?QrDAYxchJF?E3YwsMAEFgGAhWCw?xMTiuaK?MutJvLolzCz7EvgVaUJPS6eug0nfNayXBFXJv53/ACJyytZoxr0HmVWHH9OZ1gJSaegSipI541o26y1MK7dZbunHT8TtdOHcOMIx7KGpJO9iHGcllctDKhR3VOMPm/E1sUBLbbNFokuS0EMAE))))))AgG?IBgACAY?gGI)?UuRQmgBhYZOpQ.?AM)))))):9k=%iVBORw0KG;)NSUhEUg?ANM)7CAM?ADWzk8E)MFBMVEX::79fz47vv+/P704vj25/nx2PbFyvHj5filruvz3ffT1/WKl+Z6iePw1fWapemLxEvf?AEGklEQVR4Xu3aa3ODKBQG4HPjrub: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: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)AElFTkSuQmCC$/9j/2wBD?cHBwcJ.@.@.@.@.@.@.@.@.@.@.@.@.@.@.@.@.@.@.@.n/wQARCADIANoDACI?RE?hEA/8QAZQ?AgMBAQEB)))?QCAwUBBgcIE?CAgADAQgM.oHAQE)?gEDBBESIQUTIiMxM@SFDNBQ1FTY3Fyc5GyFWFigpKTo7PSBiQ0dIGDlKLC0zVEVGXD1PC04:a?wD?AB?I?D8A/RWJxNOGqa25tKL9J+oqr03s71WeSvbEYnFUNiZZVsTE6cKljaKtCpo1Mj8O7xtnaqu1VDG+2YuzsmyImEaxcNVq4NCoz1PZ8u6zT2zvVXFVd8K7JbsrDcHboxfS+TUWKvdkTtumZ0qS7Dw3Uf6/E/3jCu3LwE2WTvdu12/zeNXpfrR6XN+r/MZFsvrfgRzm6a9YtWIM6+yyIXJrPrDN+CsB4u3+Mxv/AGg+CsB4u3+Mxv8A2h/N+pH01IszrEzKbIjPnqT0x1RffbvGWfWWf3BB9zcAuXFWtM7FWMZjdTt/FGr+S9O8bp4+lGshOwsDdve/X2pvj2YtHZd+ezoKpSidNp1O0cvR09VR3cH/ABjHT/t2B+/xpCyI0jWDsebliWsc9qBw5mLG2SA5mGYAd)))))))?ADyOD7Qnp3/8A02hZH51hvQxfu1DOFw7rSsTK5w1v39oPh3nEYds1yVMTHL11Quz2GbKzqb94SMmyOG/pN7xu7y/hUzXwr622rzm7rE1mBW6t5heCJFdkcB/Rb3Rt6WTLPKfMUvHAf0WLY2iTRpnaQWOCvor7oxuJ/iuNn/b8D9/iyqI2R5lLtyf8Rxf6nhPvMQV280ZwM8ep67Uc1C0uc1iGrI9Mi5jmo7EikOWwwQwSgxmdzKYknmTiSGkszAjmdOkcjoAB04)))))Y1Ha49Kz7xzrRxtXo2/wBAUdrjz2feODzEWVTMxEZW8s+gTz2CuWcsXCjRtnzjGtesvtFmZM54S8vWU7EkLK5mBTERzfnCjrwZ8zDl0ps4S9LpKLPKZTw15OsperbDKvqnUU5bI8xPc79NxH6rhvvMQRZ0iI4acnXUjgbEjF4lpddK4WiWbUumF1W85iNs8EswVUxYsnoszhiJuo+JbLCV8Rl+lXRpWz1FXPdPKWb3V4rfC+Fsna19rT8Uqi/RQy7HiJPV01vlzTWgtiTJVH8bbHnfV745W7xEauHHhiNLfROK0STdJgeiScFKzExExOcSWQXRIvMF0E8ymCyJJxJXMEzpGDsEis6?d))))AxVeErjOJmZayFWOc7b4/BOQkTnLwrPPxalT5KlsYWxJmdSNObZTMNsXVr0kZrsjllfYxyWOpVOZHSnUX2KUTXXMzOhOXqqX6H8KkZrfbtX2Mc1F01ZwKW1VTlmiT51UXemrKeLr5OopoPVZOWUp7GFrKb8pnXVERDZzMNpj+cnFmQpZhZaTKuWqMlWqprGjOFZVVYVOfZa3Qpr8YZNKUXa4iYjCRZnZOnQ26F6dJlTmYPD96o7730cxOc022bd6yz4UaXxdvMqZl6GGrftVHfe22jNVK1VokdBVznpS3Tb6YtiL9mUD2CwMLObDGGsSXnbPN8DfINFZWeSYkTw0cP5o9Kr4BJNsGlbsYkMpGyBWJlctU5r1vB6X9wbTmwXLAu87CUTpnPudL8QzmLE6p2ZdWS5RdoGIksiSqCyCyCloLIJEIJlkFcnQADpE))))paBdoG5grmCORarZCsqcyGJUrmCORbqzKJEr4h+KmIlMs3ie71FNCRPLa8+Fm/k4BFpygtTbIhiq0muc4WY11Z5x5RBia025qvsJ3Vb5W6d1ly+d0P5wqeLK0futG34m6a/T1C7RsLobKSdNaauavJ4BllWFnKI5G7hVVzv2Fr82fMwLEZEHmZYULqpyWIzzy5PRKC5Z2L86CCyTeNhZmSqna/nX3SnPInTPB9KdRYslTRsHFLlFlkYUvUXeC2CUEY7hOC2CiQ?On))))DkkciZwDsFclTF0wQkjJNZF5EojLVHgZjQYUsjS/xPs+cQaNgwjbSsSeex3Z+8WTnZl3qzxnqbO++Kt400CORRJbJXE+Ce5s28pXazwj8Jua3d+SUThrKs5wzqqz3iyGar903Pp+68kU3Ym5K7NeEungNPEzXdnwejw63K2XZsJq8RPCUX3x+u30mIzbbmkQ7Rm2eWbdBTOjG3NnveAxmflIrpX6TuVUU4/dG5k3xcPhqp0Yl8PLc7p4Zb3593jd7r3qrxu+iio8zkOvbXEZmvS9mLsmpHbeK2/ObYZtMsn+Wqbr+N8VVxXbbD0AvTVVTWlVKLXXXGlEWODpLYkbWNMZQJPMtOcjKjCSKINoMJItZBfBOCuCwvgVk?Dpw))))DknQkAIyRJkZg4SiSqYK2rVomJjOJGJg5kcyJwxmtDV5RZyci2dGfS6jnZNKViYmJiJieWJFGwVe3Q9lXxJOpfovwCE158h3fsuUSYXumIR5mYiIVpmZnSscEdbBW/6lsvV1/gKp3Pw89ulsR8m6dSfVcz7M52PMlbY2FnYeaqS7dCdGGlqsLnx2O669OvB9d+99l9qq71vlp6OqmmitKaUWuquNKIvNhRucoiIiIiI2REdwqkhNEJGSli4ubJ1MxVkTU5EFkQV6BjfYksUZXYLRJZDFi7CDDcHcxbWS3wt1FMpIxmGZRrO6juo5oLwKtRKJO5kdJZmBGJJQdIg?d))AJOHQADmRzIlkGQAcOSSIMdgixSxQxcwuxasGbe2U@IHGmPDsgrmxOsvtJSmYvGIlSw7mU76nXX2hvqddfaUWV5D2HxMsXag1lE2J119pzfE66+0SbODbqmGgY1kocU3xOsvtJRYk8jL7SOot0wN6yyGFYLVJQxBlGIktWRdS5S1ZKGgugmQgmXQUyd?OkQ))))K2LJK2OwQbkKXErbERWdp0qsZs3RhRq2YWJmZyiIzmZ7h56/EpbnLsq1LqlUnu/Kb+2MVxmY+LfTDSK3WPi5iW1pRnwK4lkezylv/FWLzgsP4H+ss/GWtisNOXGry+EjOLw3jU9o6qpEHmLbcU7Z8Yn1hV2DhvBZ9dZ+Mh8H4bwWfXWfjLZxmF8cntITuhge7fXH7QZa/JnK7cWs7GxP2hD4Ow3gt+vs/GHwfhvBb9fZ+M78JYD/U1e0PhHAbZ7Iqyjbyij01z4s1qcdjo2asT9oDYTCosu0uqrGczN1mz+chVXK3UPEOiu+SozMzadOvU2vp+TLK0e9ottiVRZzopbnest+X4qvvXrSy6eOwvrm90RuqiIaYU9BgMY72Vq1mtu+cYekgvUpUZSBVYN1pLFKrsXXVOnnWdT8XUM/H7pRVM0UTE3dNuctC/j8mZSXJHK0ZztmZnhS3WYt1adgV4ebI1TwFN2MTc8xm0LGfIsDcS3Wb2mLTbGpdvdU1IYkrTIW0IvIoxFjxyTn5xpLM8s9kmfqGInZHmLIYWevLkHAKq37klpIo)))CStiySEwdgg3II4qOJt9XZ7plNHA+b/SbGKjirfV2e6ZbRwfm/0jVMmDukk5L+8M5u55zha0cnnISPRJ5d1KznsJZHCRRMHP8A3IKY/wDRb/VsNie6E5YW+fJsQs5rF+Gz36v1lf3g2LXTx2E9c3ujArfPHYT17e6ZuK5rHp9xonfqz1KmPuruxNOeGwsw2Jy4dnOTDq/v3eTLN1Mc2Eoje5jf7Z0U59Dr2fu0+10HjM9Mcs7dUy0zqZ26bM3XMlrNHJzj3+DwU4idTdqT7QZriI5zM855zqnlbrfLf1g6jJs2L7DJizkLlt+Mr3yZ6Rtxg61VcqzcpZJsTKIidS7Y4PSNyLGXu6o/mPJUW8ZXGfTX3j0UWfGMVvnG0y8XhYVlyXQaC2ROUxOcSOq2yPMYW+aZ+Jp2/E3WNRG4K+ZS6JM2xO5POG4fKYkeiYkyWbZI+szMR5ixZErV0yM?Eio))Dh0AOSLYmM6rfV2e6ZrLwPm/0mtdGddkfIs90RZeD83+kuqbKTPx1epfrDIdeTzlcwOOvJ6RSyjyseVupyFZIZF8wVyWxIg6ZFZn7pz+Z4n1bGjMGdut+g4r1LEbOaxZhe30+sr+8rHRLETliMFHhvb7tx4zsVP5zud8rEt925n4lJ0tJ6Hci2OyKY/92uwX3Zul8dYufBoSulfSdd9t95foGMzDG6TN2djv1pvo72mj+QQljz9vPY+ybm1fmtM9evfCyHJxYJ57SeojmPwmzI08NZxtXrK/ePT6zxuGbjqvWV+8erzL6p2GXj68mUYls4mO5MZGpQ8zVXPd0L7phwxrUTxaT8Qyk7DExKZMs+sG5mZyWOVpWINyFiI/YZeBql232Y4Ccz426bGuMrGUGNe0M+zo?ASKQ))?ACFkcB/Rb3RZo4P7Bp+a3mYpaNk+Yks5FF66oMx15POUso8yZ9z9gs9aeCBtWMC+mBNoKZgYetOqou1adVfYMLJkXVxBTJmbr/oGL9QxptUnUX2GVuvWnYGL4K9oYk3NF6Iyvp9ZX95WaUxyeYysbn2ZuVERy4tvuHHMTZhsNXNt0LoXT3OG7PzK6l57vY/F1VmluJuNbvibo49N7vybsTB58HB1vz2t6+MsTttneu1VeNKMSyQumec5qbiUXWYhbo7VT2yz/jPLflThmw+6jP0MZRXcnrMPxVq+no3qz5558+tbv7j/?nhJrSVTE1Nv2FsboWovNbyNiaq7fT8mfIZ1wz12I1V1TaL6X59VnVb/is77Vxp53FVSra45rn2X8n8allPYzNxtPa/KV:AJkgiZjw5eE4Apmehle6M4aeOq298r949WeRw0Rv9Ocd8r95D1uz/wBJfVyMZWPidVZ1nhYmZ7kHoNzcK99VWcytSpXqaO+Np4ar8jyhlbnbmPj3hm4OErbhNHBbEWJ3tfkeNsPcoiIqokQqJCqq5aV09U0KkyjOTyOPxWt9Cc1DqwqxksaYiMoiO4dAC4zQ)))?ADjbYnzFU5Zck8ngLgA5K5mezRHcf6DCr2LHQt/ZTZ+A2gJxZMC7YOt+U8w96dTEfw1/4BN8WnisV/B4n8B7MCfZGQq+4+GfpWfZnhGxtcd6xn8Fi/7JmbpYmLsHiaq8PjmsspZUXsHF/2T6cBKcVZMZaSpdwcIrK8WWcDjO9/2zym5G41zWpujuinHr+h4PnpgFfpN0HxlnfbO9dqq75bZ6sAKGY1Kqq6k3utdCoB53dv8m8JunxuqcNjEXSmKrX7O+rv1Pk+21d6trPRARmIyykuR3RlZW0Mh8Zxm4W7eD7bg3vTx+BjshPSart9P1dnrTHaxEnJ4auerZXZU30XQ+/ALzg6W2xwDZr/ACkx1cKrLXd6zi7Psz4fgacXfdVvGExd0b5XmyYexU06uc1r72mj94fRcJuBY8w+MbSn+nrbVr9bb1PJ1/WnqwJ14eusVxe6+Lxni9Pk/wD2+EVVEWEWFVVjJVWNKwpIALjO)P:Z%iVBORw0KG;)NSUhEUg?AII?ACCCAM?AC93eDP)MFBMVEX7r11HR0f8yZHLklZZUEmyg1P8uXLjoVmLbE5pWUrAi1X+6tPVmFfyqVx4YUz:v3zEySO?ABHElEQVR4Xu3cS4rDQAxF0av6+5fsf7ed0ANDV8b1GvLOCu5AWMhg83w5UkOgpeP58k5IyKTfhIZQeyckpNKTA7GDhFiiIdb4KmZmZmZmZnadH1ysdMYHpxOc4ISbE5zgBCc4oesTKDG7WGrEZGOtGpPBWjkmlbUu+TTCNiUA4nl8gHoeB4B2S+wsF390lnuopxGqehRg1z6YmJdlRqBIp3FelgWFqp5GyOpphEu6JudleSFRxw0xs1xHxDZqR+Tc7k3dQb2syy4ruO0A2tO6dBYb8pOy62/7PWZZfttHBXCCfhy7/PXCJj+sI8vfLwwQNwwU8j0PW0ZkHyUiytiRMDMzMzMzM2v6gIRY4kDs0H/wrv/s/3/8/ED/C4gfHWoMKlwF198)ASUVORK5CYII=%iVBORw0KG;)NSUhEUg?AK)AxCAM?ABqK1L5)MFBMVEX:/+zzvd8rvO/1fj1+P4xiu5tpfFbnfDg6/xIk++ZvvWLtvSmxvbV5Pvr8v3K3PnaFXRJ)1ElEQVR4Xu3W7QbEMBBG4Xcm3/3a+7/bVZRlqEI5Vs7vhIcwE+3lQbrP4/kHN2LNfbW06zcAMDTWlFnA2LDMAsbGBwaMJTqwJDqw7HRgpQNLogOdDiwHHZjowEXqflXj7r56H2hmW43AevttMIVeA+qsRyILqE4HKrxyhwG3sO1gQPt34AQ6HJgHfMxsBQ081uBrGKC7txJbAcDbjA7scOAQHGhw4DjgQBMbWMUGtswG1iw0cMsiA5dDwgLbkrJEA/rZYpb2gGMAdRMZOIETOIETOIFfGWpGTAdlDEM)ASUVORK5CYII=%iVBORw0KG;)NSUhEUg?AK)CFCAM?ADrcAOa?ABgFBMVEU?AD:/9hY2IbHRqiqJZ7g3iPlIzu+9v6/ejz/ebv/N3+/vbn+s31/ej+/u/q7PT8/vP:vL4/M77/dtOUU64vp/7/frFx74uMSzc9dr3/fG4s879/OTI0OXN8sPy9PnI8Lzx+/Cn2Mzo+9jbxNbk6PPqycz77tP7/dTw/Mv26ej88t357uu/x+Lb+b3DzeKcweLE77zW3Oz99+vFvMf779bJ96j7/u/U1NTk+ce4w97f4N82PS89OkD4+fk+SD/C2afa4e3b5MTl6tnq8Nzq+ern1eX99OPK7ML:O/55LjV2cPw8fjw5e/M9rzr3+qq7MfT9s3x3t/L5uWw7M7k+ODE3trizNv4+8blv8PP+LDV6+rTtszH8Lqt2c/y2s7HrtWhx9zC8rG13tO37tK/8a33/Mud6Mrn/bv2+8SfzNr79PL9+O389vXy9Lzj8uL558Gi6sTlu771+73Qscn++/Hu09XOstLQ7sr44bDB88rCqdXm6rf19NbP+aX33KQ7zRWn?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;0YJuWFZjGQAMWcRPAddRsNUVpBJinJ4WgrECEK8EuIyFwhwBzLQDVdFo9jgDgPST65MLaWgPALbq6lHCbFwmA+Pv0GQK7GgQmBWUAOHaPbfL1FV7fiQ+sjU7wvjv09g6/DByn780x/X3l9XeiuphcQBjfcx7wPhO60wYg1BJQpwteXiCcFeZkBirSAT0ggOUFQg0D3wqygc/Y5h69E1biRxm3Z5;8PLeUfjFCt42CZx4ymti4unEH/woo+dHuwc0Cty7TdpjahHI1ijwAQQT/DaBNQx8KCkwIz0QDguXZAb2SgzcgANrVWbgAgZelRT4JwHmJAZ+gqdvBdmAkEafLNw8AyCpUeAPotYx0CTAl0xzXU0DqQrzemh1h4XLTGKgSp9u7Z4G+O4Y2NKThYt2YqCJgesYWGwSuNrKs5lGgDrCZbFQVqC9U3dICvxkb4TNAe2ekOBE/QDqcS2Si3skYDUCvLMCy1hWoEr/0tQpK9B+tvBMUuCGfRNKChxboc/5d2UFGhio1eAaywOExjbgOwuF1oDOw8IvUA: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:k7ykYIgx9uEsJBIGPoqEwTpYV0J5zjFE/wXzd93x5vnhJo)ASUVORK5CYII=%iVBORw0KG;)NSUhEUg?ANI)9C)AD94GjJ?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@TN1JmYJJkUJSlqw1eSAlfM6l2Sd6x114XEqwDDMmmRhWiKRHKWlM01IKXQY5T/Exe6+Nre6WZdVHM+tNDZmJQyRcIdUjZTSZJ+ujDO0Xk+PFLytIggyRsvBkQdkALdlz1JyoRJUV5/PlvYkASgWwCsjYcyIOUhLUmqANCicHtM21KZ8Pge9xSJtWuqlXukFt4kyTL5VI1W4hlne0WilZKkX+Rp0WZStNIzJKhv7Mc+1UbnrZCUaAHz+tcp+QVipZeUaCspW+mJiQd77pL2v+Y3vFi0/524cV60n0RqUZK0aD+J8XwNkg/+om4Pvv75newjDS5PPAPCprKVpMOPI3l7JxJmSPw4Etqnkbx9Gsnbm5Fc33XvRmpU/yf+fqQewsX/5r8bKUIiZe4A21vmP24hqdv1SRFy)AElFTkSuQmCC!