%^``98LINQ extensionextension methodquery expressionbenchmarks LINQ, for-loopcauses System.Linq error

aAcBfECrBXWC| 557VB~CB 7564647VYYZYYYYYYYYYYYYYYBZBZYYYZ-~B~B~B-~~Z 7656VYYYB-~C 99796F55W 564FX~B-

LINQ.` In the island heat a bird calls out. The sound is clear and loud. This is a bird song. The animal queries for a potential mate.`In a query,` we ask for something. A bird asks for a mate. We ask for an array to be filtered or sorted or changed. LINQ is Language Integrated Query.`Average example.` LINQ introduces many extension methods. We use one (Average) to average all the elements in an int array. A double value is returned. `The Average method is implemented as an extension method within the .NET Framework. Extension methods have special syntax.`Important: `We include the System.Linq namespace with a "using" statement at the top. The program will not compile if we omit this.`Extension methods.` This is a special syntax form in C#. We can call a method on a variable like it is an instance method. But it is not on the class. It is specified in a separate place. `Extension `extension`Linq: `Extension methods are not part of LINQ. But they are essential in the understanding of this feature.`Things like "orderby" are transformed into extension method calls like OrderBy that act on sequences IEnumerables.`IEnumerable `ienumerable`Convert.` Some extension methods in LINQ convert from an IEnumerable to another type. They convert to an array, Dictionary, List or Lookup. `ToArray `toarray`ToDictionary `todictionary`ToList `tolist`ToLookup `tolookup`Mutate.` These methods filter or mutate. They change the elements in your query in some way. We remove unneeded elements, add new ones, or change other aspects of the elements themselves. `AsEnumerable `asenumerable`AsParallel `asparallel`AsQueryable `queryable`Cast `cast-extension`Concat `concat`Contains `contains-extension`DefaultIfEmpty `defaultifempty`Distinct `distinct`ElementAt `elementatordefault`ElementAtOrDefault `elementatordefault`Except `except`First `first`FirstOrDefault `firstordefault`GroupBy `groupby`GroupJoin `groupjoin`Intersect `intersect`Join `join`Last `lastordefault`LastOrDefault `lastordefault`OfType `oftype`OrderBy `orderby-extension`OrderByDescending `orderbydescending`Reverse `reverse`Select `select`SelectMany `selectmany`Single `single`SingleOrDefault `singleordefault`Union `union`Where `where`Zip `zip`Skip and take.` These extension methods are useful. They eliminate the need for custom code to check ranges. Skip passes over the first elements. `Skip, SkipWhile `skip`Take, TakeWhile `take`Computation.` LINQ also provides computational methods. These act upon a certain query and then return a number or other value. These can also simplify code. `Aggregate `aggregate`All `all`Any `any`Average `average`Count `count`SequenceEqual `sequenceequal`Sum `sum`Max and min.` We can search a collection for its largest (max) or smallest (min) value. This is effective for many value types. Which tower is the tallest? `Max, Min `max`Enumerable.` The Enumerable type has some useful static methods. If you need an IEnumerable collection of a range or a repeated element, consider Range or Repeat. `Empty: `The Empty method returns an empty enumerable collection. This can be useful as a "dummy" value.`Empty `empty`Range: `The Range method provides an enumerable collection that progresses from one value to another.`Range `enumerable-range`Repeat: `This method is repetitive—that is why it is called Repeat. It creates an enumerable collection full of one element.`Repeat `repeat`Query.` A query expression uses declarative clauses. These specify the results we want, not how we are to achieve them. To start, we use a query expression on an array of integers. `Imperative: `We describe how to accomplish the task by indicating each step in code statements.`Declarative: `We describe the final result needed, leaving the steps up to the query language.`In the query,` we select elements from an array in descending order (high to low). We filter out elements <= 2. In the loop, we evaluate the expression and print the results. `Var `var`Keywords.` Query expressions use a whole new set of keywords. These are contextual keywords. This means they only have meaning in query expressions. `ascending `descending`descending `descending`group `group`join `join`let `let`orderby `orderby`select new `select-new`LINQ versus loop.` LINQ has a performance cost. For small numeric operations, it introduces considerable overhead. For larger operations, this change is less important. `Benchmark: `We count all elements in an array greater than or equal to 10 with LINQ and with a for-loop.`Result: `The LINQ version is nearly ten times slower. For hot numeric loops, LINQ is a poor choice.`An error.` For queries to compile in the C# compiler we must include System.Linq at the top of the file. This is not optional. Visual Studio will provide a helpful error message. `Please add "using System.Linq" to fix this program. Compile-time errors are there to help us not make us mad.`Syntactic sugar.` LINQ can be seen as a form of syntactic sugar. Queries could be written with for-loops. But when a program is easier to read and write, often it is better.`Books.` In query languages, we express what we want, not how it is to happen. The query language, not the programmer, is concerned with the exact implementation details. `Quote: `We call this language the query language, because it is very useful for retrieving information from data bases by formulating queries, or questions, expressed in the language.`Structure and Interpretation of Computer Programs: MIT `https://mitpress.mit.edu/sicp/full-text/book/book.html`LINQ is a powerful feature.` Its methods and query expressions often improve the readability of programs. And they sometimes lead to new, delayed, superior algorithms.

OHYGXYYHDHQ;YHDXHQ.LinqXHbHJHAY{YOH%O{YOOXHz[]X HUHy{ 1, 3, 5, 7 };YOOH'HU.XAverageX());YO}Y}YYXYY4XYYH?HJExtensionMHgsY{YOHBH?HiXMultiplyByTwoX(XthisX HiHh)YO{XYOOH{This extension mHg multiplies an Hiby 2.YOOXHK Hh * X2X;YO}Y}YYHJHAY{YOH%O{XYOOH{Use our extension mHg.YOOXHQ.H'X4X.XMultiplyByTwoX());YO}Y}YYXYY8XYYHDHQ;YHDXHQ.LinqXHbHJHAY{YOH%O{YOOHz[] HUHy{ 1, 2, 3, 6, 7, 8 };XYOOH{Query expression.YOOXvar H8sHyXfromX H8HpHUYOOOOO orderby H8 descendingYOOOOO where H8 > 2YOOOOO select H8;XYOOH{Enumerate.YOOXH@ (var H8HpH8s)YOO{YOOOH5.Ha(H8);YOOOH5.Ha(' ');YOO}YOOH');YO}Y}YYXYY8 7 6 3XYYHDHQ;YH!HDHQ.LinqHbHJHAY{YOconst Hi_maxHy1000000;YOH%O{YOOHz[] HhsHy{ 10, 0, 1, 1, 20, 300, 400, 4 };XYYOOH{Version 1: use LINQ.YOOXvar s1HyH,.H`New();YOOHw(HiiHy0; i < _max; i++)YOO{YOOOHicountHyXH]LinqX(Hhs);YOO}YOOs1H3;XYYOOH{Version 2: use H|-loop.YOOXvar s2HyH,.H`New();YOOHw(HiiHy0; i < _max; i++)YOO{YOOOHicountHyXH]ForX(Hhs);YOO}YOOs2H3;YOOH'(H0(s1.H# * 1000000) /YOOO_max).ToHO(G0.00 nsG));YOOH'(H0(s2.H# * 1000000) /YOOO_max).ToHO(G0.00 nsG));YOOH5.Hu();YO}YYOH?HiXH]LinqX(Hz[] Hhs)YO{XYOOH{H] Hhs gH_r than or equalHj10 with LINQ.YOOXHK (from xHpHhsYOOOOwhere x >= 10YOOOOselect x).H]();YO}YYOH?HiXH]ForX(Hz[] Hhs)YO{XYOOH{H] Hhs gH_r than or equalHj10 with a loop.YOOXHicountHy0;YOOHw(HiiHy0; i < Hhs.LH^; i++)YOO{YOOOHmHhs[i] >= 10)YOOO{YOOOOcount++;YOOO}YOO}YOOHK count;YO}Y}YYXResultsXYYX111.83 nsX:OLINQ expression, H]()YX 10.86 nsX:OFor-loop, ifXYYHJHAY{YOH%O{YOOXHz[]X HEsHy{ 10, 20, 30 };XYOOH{We needHjinclude HQ.Linq HwthisHjwork.YOOXvar HMHyfrom nHpXHEsXYOOOOO select n;YO}Y}YYXResultsXYYError CS1935YCould not find an implementation of the query patternYHwsource type 'Hz[]'.Y'Select' not found.YAre you missing a referenceHj'HQ.Core.dll'X

$/9j/2wCE?gGBgYGBggGBggMCAcIDA4KCAgKDhANDQ4NDRARDA4NDQ4MEQ8SExQTEg8YGBoaGBgjIiIiIycnJycnJycnJycB.gI.oJCw@Cw4LDQsOEQ4ODg4REw0NDg0NExgRDw8PDxEYFhcUFBQXFhoaGBgaGiEhICEhJycnJycnJycnJ:BABEIAFgAoAMAIgABEQECEQH/xABj?ABBQEB))))AgMEBQYBBx?AQIFAgIHBAUGCwkB)AgED?QFERITISIxBhQyQUJRYSNScYEVM5GhsQdDYnKCwRc@TREU5KistHwFiZjc3R1s8Ph8f/a?wD?AB?I?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;QGK7EJJ2kX1SGJtlWnMk7J7ovr3pDjZZDZeaRSTKK24LM62hb+yc5oq80UC5oqeUTpdGJlFIUTMfrB7lv3/?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?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%iVBORw0KG;)NSUhEUg?AK)BlCAM?AD9NBgY)wFBMVEXW9f8CAgLy+/77/v9gYGDU1NSjo6O2traOjo7M9+PZ+PLq+/jO9+rS9vTa9v/V9f3V9fzT9vfQ9+7X8P/m9v7R9vLV6vTT9vjg9/vV9fvU9fnV8vHW9f7d9:X5PjY9f/c9/rW7v/n8f/j8fnb8v/g9:c8f/q9f/V9/HR8u/W8:Y9vnh8/3V8Pve+PvV9u7e7vfd9PTn8/rb6v7b5f3k+P/Z5vjV8PTR7+/g9vXM9+Xn8vvl7PnV5f3Y9vzp+f8o7YDT?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;q4V1bcAyXVF0hcIrCCm4GOgfKV5AIo0KgERTaNFtCvQGyXVMwqE5AjQL4bhfv4kYGbM7AE/JZlAqgDAzWXkcVMTUASBsTGGmoYAyutTdnTDfhuc@jF8uofE2alHYlQO8Z6AlQaCLnQOljtBgEpqIzkO6hK1Iz0PNldMLM8ff8UUe+KjbTqVNwqrMjIAPkW5yAgYEyowAxNCJHQNDSoT4Cf8zTiUcEbq4GLsS3WK8eLJRFBQ4LWWjvXCBBoYGohQGNZwNuFM+EKKQDUHR2uIIqBlR1A8EHQ3d7eeETZT:F323AZcWFHhrg1LBkgCUUjyj0J9hQ74oVApAKfTxrucrUKjogN8G3uLvqfM4k6DvVuA49kwYt4/rr7RysBNZcnAJ+Mz5xb5bgLxgzY1jdfLlF+cRoOR2IJVllByADcQbC08vPmEfj9zQ1QJk321ASSYQA+NShETgPHhulzI8nYtOfCJ8M5uFRCo4WcKJBvblOQVKumYjyevWXEgt76dxEEV5AnimTHw83wSuU17/l2ZK3SX8OkubspKg7yEDYIIptbeS0xbHQ1ImzICtZL34M81i6P62m8xA3u0eGOXGjx6qmJWQPY9jaJ4Aaz8UaO0wNMfRNnjPQO/DMPrKXlAIVIAl/Egg6CJObgGquCoWI?2sBQgXoJwjPZYwo8DepBpnX1RSEDeUsyw1wsw2NMv+L2BYNBgCmT0iFGIFCA1aODltka2IariQ2fteCC/O5D6TxGIoyECSzlWtKeV0X1;HdOgINwGtgMMsmiTsDctZV07aiLpf+IUVC0VDAdM1CBUiBA7/A/nLO9R53zDoWT42DKIqXeprTT2Q15eAhKa1PJo4dWuijhFQiKOp87Ww9dHDxo3TuLW7Ch1zosBZhnleXk335fqIAVf/IgPXF6BvLqnxrp08kB/h5VfVxseyRrT2TI5pbBsMoz6ZsQkyuOJsMzewTKE1wBgffYhGhUhQ8F8o9bpgfvPfRlqRU4x1Od86Dl2MslztGpHsHUjleDC9iCXXxH4NK6ADxdEAQCz20BvLVOGuKDQPC0Yz2Asw5oMeGA5hQfAhXwfsB8lb+UvB6ftuA2y/6ewP3ypgjvfsDxejVfo+7fCvHuCrw99wX+B1V3EJ9DZBsa)AElFTkSuQmCC%iVBORw0KG;)NSUhEUg?ALQ?ABYCAM?ABrlS35)MFBMVEX:/8?ABdX14uMC/T09ODi4iyurafo6FveXX19fXk5OTl/PHO+uea9M2s2MXB8t0JhuDf?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.SQboKC5DrKsg4JgIxGC34eTSnr9QLWM93zbjRaj6jVpeam5tVMVMkc3AD0o4qIlP5J/rkLJO9juA5E7w8aM1NKOsCR0dv3vNxuqg+J1nKRsDHAgdF9RUKdgJnPge77n2hDG9rQhja0oQ1taEMb2tDTPN9ut/Oge/40zV8TjEN/AD/rn6UZ3dpn)AElFTkSuQmCC%iVBORw0KG;)NSUhEUg?AIw?AB4BAM?ADS7QcC)GFBMVEX::0qHKhmbLDvs74yKT4xaH4yqr2tYUVUWgb)fUlEQVR42u3XsQmAMBgF4V9x?OCfVxAdAEdQtwg1il0fsHS8IpIsLob4OvPnKy1V7WXWb+J9pQZZpG3zkRNyowmmmBgYGBgYGBgYGBgYGA+Mn0QHTl3V+o1iYieKifLYq4gilnMYqIVBgYGBgYGBgYGBgYG5gfm3ESx0GvePshxrr29cII)ASUVORK5CYII=%iVBORw0KG;)NSUhEUg?AMg?ACrCAM)U5iNY)YFBMVEX::99u797t/o6Oj86tj+8+fi3tv95Mv:fzy8vH92rjV1dT138hFRUb8/Pz/+fL/+/j5+fmWlpXqxJ3EwL2Uhnjx1brOtZx/f38?ABtZV3+0qeFeG1fWVXqzrL/zJlhja+0?AEqElEQVR4Xu3cCW7cMAwF0GqXd8+WtU3vf8uKsabwDFEziWJUBPhv8KLIIqmBfvBMfM8P7olxnqdpnrlTYlIopRIlcncop7VzAOHtcNr+HIYXkDB3hOT4FZyaZkiMrB0PwWrnnAJN5AhRi+O1DcFanfcKP0mcnL0Mw/CYc05RHPfKPDlw3MQpgci/1vds9gve7IyPkbaKz68ciFliQaLR3uBfNEoZL42VtLoxZanZubeF140BFu7tbYqDwyMy3tyJYUOK1Q4gjB22Py45uznydWj7kB2PWgGEv8PmA527I+gM4e6obUHEoeBo5+5og3ZwtKPEyMARVo4EQeHQ696tR5skFkfr2qsW6GmTI+ftX3l46J2qG5IddKybKof0R5YQPB09fixBy4ow3iPy1ZJzBFcoQWvqZOdfa0n1K/2ISHDPLlMUmWvJpDEHzX5lGi/3I3JjVR6JZEw5bGRMYc?REMEMPVDEsMQSZSRgcMY323GG5MkDCDPZDpvifx/SGP8s4bYlHATm6Ihz93p93aqgHQA+atAlgVyqh1yWCALo29v0i+UBDkzgYAjMzDFWk6QFQNRGEFgQQDwepc2z0nZQPKCvKL@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?CbFPiiF6.Upl/wiJCWQ7MgSAlIm0fYNSfhBsCRk.8ILWEHwZJLljCB0JIav1pxK/M8T04HLClsQJKj8BzBjHmaJrUVqB1P5ZLcgDTXmPKTHT84sx0b2rZckhi3hZEvqrWwA4p1Im1bLAEIKPwquPotgExKv3wsAPmcRN3EGfO0yuV4LOlHMMTZ4bMBiVY0RIWb9LdL0DTm6D3qEL+YWekwfCHojU8a0mdI3t8gOSYH6tn3hWCJm+YvQDIjSy4+OdAUhQEEHxymOaC5FoN/LXyUm4ZYhPo2O0BwcUVD9v/8VgMpPxDrgJSXKHVAyovGaiDlZXw9X63yxqr8HBmrd9AnO0CI6qqG4QOG4AYEDva6HXT1Ww7Zf0BH9yM5FKTKkSnuEI2hHFUOsXHPvnQg+zuIa4XiKQpqQHaDEBc9O1ys7wOZFHH1xiRx0kwdeI+g62muEPSDAZ6QOKOfcHCVFP6o5g9Vk3s4mHpeS)ABJRU5Er@ggg==%iVBORw0KG;)NSUhEUg?AMg?ABWCAM?AC96imf)MFBMVEWX/5d9vX11qHVicmKCyoKK3oqw/7BohWhaWlpwnX.7ZCT9pNskWyg/6Dc/9z8:xkWclC?ABzklEQVR4Xu3c6WrDMBCF0RmtXtP3f9taScrFVc3g4JRI3POrIMblc7ArFxz52tzSKs1a0600lJAkjUuPkFWat5aQJB1IX3KTLtwkSReSrNKDRjOIiIiIiIiIKIx+eBKbDj8W+SixVLQc;4+QpYSMOqT2KLefVpI3DJ8lPOuDlnMK9S+dIN0EDJivu2QpaEQhuBP5aKzHWLPSHQZt24YdvTykHnB0fNkhtgzirULQ3Ds6fhGANkKsWd0eGNIOJ6cSoDTopQEI8Scme8B+rBb0Y0vCXdRTsJv1unow1LkjkaIORNK49sudnze3kXZcdvCLA9+Wz8KsWewNr0vZM64Dlx96PrnOsSewdrlITAr9r/abgg2tOWT8XPbIbgmQtshuIHpPgROhMD/h+Akf3gIQxTUDqlnPibEqAZj5tUQhow9hGAjXO+b7BB7xt5rXfifuiig2H0ZIfaMvfsdcQpeo09u2Phqh7/oU5Q9PD/oZM7Ua+GvU5Axdd4Ag4+/jw16/CgYjRnrCRGZmDqv7gBXhUCsQuwZV4eAXhTixyCV6PLh4WNGiDFTryEEQsZUW4iIiIiIiIho7SUjSRdSNy8d9/IaeC8v5nf0VQndfHnFNzcZJ+c0Q+++)AElFTkSuQmCC%iVBORw0KG;)NSUhEUg?AME?ABWCAM?ABB/wJV)GFBMVEX::j4+KXlZH85sX5zoTBwL73ukNvbGXCIYFj?ACgklEQVR4Xu3a7Y7CIBCFYeYDev93vG53m2je7MoEqJBw/hv7eBSw04SI5DMikt6mPMUTEnxheyTr8RrVb8oqgtfLJ2R2QT7eJU8tED0WE7CA5QRxwCHzCuRYXXDUJU0ryKsL5FhTEK9ApxXgIJHlauc8IqnqxAIuRCogXpiA4NZk7FqBTCFQfNeXFuQVBVgwt2BYzP2s2s1uEVh5SYzOcs3Lc9z+EEg/gb8ArE1gBXEIOv+SDW/XIHjm8FPRIfsBK4gLGBIoOLSHgBV0E5DAg12WVgErGCRwnItgiAkCFTQISFAIgAgLsJIOEhR8jXDIjgtYgY0TsAQi4gJWMFBQ8EsgIirgStpH4G6PeMVyhGSJCtBzs8Dtkp0G6EGAISBABW0CCp0CEmgICFBBTwHrqb3zq5UCVtBdwJWurgatE3Az6y9IENQZtFLg6Li7wClInOIwuUKAiocI7D+e5IZ71+aO/eY2AceB8QkIYzcJqhFRgacx;SeaxESFNi9AgaGHBSkDwu4vupSHZAQF5RPC0iICmwCgTQJygSC1Cbw2/eDdoGjhIUEbsY/IB8XSGAtcqJKsXvPpkyOCwwljBW0za;YAmj/6NFtgOpELCE7gKPb8lXqspmCZ0FVqC7ngeUN899aZWAJfQVWIFAni9SNf9GG54vQgmNAnvkBJh5YcPS+ckQljD6vmmuFEitgAOQcQILCHTGCUhJAcE0Uyi2q1UAaZkElp4C0gOAyaaxJVULFIDosj1ynizvAfmDTyUwdEtW7TTDCZTQKnDDDa6sgWFg/ADmPQV+XT8i35CrEcXV3xUK7RH/iZml6UPBGtmCLdiCLdiCLdiCLdiCLdiCLdiCL0EFil3yQZA4)AElFTkSuQmCC%iVBORw0KG;)NSUhEUg?ALM?ABSCAM)o0hXm)GFBMVEX::3z8PzZ4v3sbf0k5r68N/xH2v157ja+sAc?ACl0lEQVR4Xu2awYqEMBAFp5Po/P8fLzPsQS2kNisNNtjXwFLte1NxwddxlnU/8f7M69bTD8zjy7zcmnkcmFsB5vU479uXI8DcUY4b1rlcodumEJtC37ocW85Wo9Cx7UOvUeixvUiiRqH3dShR6GWvilHh+j40uFcoxziYosD1jQIXsB1EUcB2QLxku+jjm1Nro8d7WZZ807EsM6LsY91N+2R1ik1DkYwcIFy2f2uSOcbKGcgKrUQJ4WAcd56w0M7cG3g3acmvH1CCgYCwoDFjCE0g1lIcLKVBka4wrx3Q8iQlBZRml0pMM7fxa4voTdohgUJfsuqU7doGOLY1CHnQEigenJSGsTjzCEQId3hl50136mxnjpMnxXJIyt4btmDCdljPzjgAEwSUhkteZO5eaAbqpuOJXN/OzBTVdiGllWxsy6n8hRmBzpvODuaZm1yFCHTedAwgg9@aLr5kyRmBuqd4Yln48wk8nc7l62dUNyXmHno5hoTDoRrMpgtUJrOubhPEjMDtZR5Ir1JYIbtxHQ4EdsnMTNQ99navxPHwf4ZzAzUTecTmcwEVNPJYP8EZtjOTeczMplpOzOdDbZNYaa+QursE5nMtJ2ZbqYcOcysr5qO2zCIlspMTUAkZ4kozjuJmbaD6U6b7/vnMNN2dJ8Dca1MZtoOldTgpT6Xmd123UzX/pJ7JDLTdkNMh22k0AnMsN256bCN2C6JmbaLCdO57TKYabuBbP2NXtLIYN5dfVOmc9tdZfZCt9YmTCe2y2YOecmROstuOcwveZmUzKVDScwN3yTKf9z+g05n7lINiVxKlMO81Pgk0V:C4x4qsbnXAUGbigxeKcrMBWrUcB0j+ke0z2me6rxmC5lHtPFY7r/zWO6Hw5aZfXvwUh4)AElFTkSuQmCC%iVBORw0KG;)NSUhEUg?AP)B5CAM)wNFyw)YFBMVEX::Fvbzd3d03NjahnJuCf39dW1r19PQNDAzk5OT+7Orr6urw7+7/+vj/+Pb+6OX/8e7z4+D+5eL/9fL+39r+4t5tz/b:fym4vn:v605vqX3fmJ2Pj:v3D6/v/+/owObap?AIJElEQVR4XuzTCw6DIBBFUXfBV7v/XVaJ6RTrC05eLYFyFzDJGYbJL37Lp@q6rplLSf3D/YCDv8DtgPcaflFD3B/+d7BAzzAsWGNy0Ng8aaalOKK4NgwFNcF2OkqgLVzK2jVATBgElW3SjvYHsDuvuppc7B4o/tRhJYBexLMx2N5cP3URHNWQ2ACK8W9kErISbx298ZmsXNeCRwg2FytCnXG5d5LYENUTYvBHoDhseAIPqOlwXHtMJHve0tAvxWUewVsD2AlltcrsEirB4cXGHAN6na5MUosBvtz8JGqioHjsJYHIymffgncjj69GMxjeXpRy4PjFsEl4Dz28R4Ei1fApmraF31SV0erjcQwFIbvDcmYTLItJUzf/y1LHXMG9ciSJUzp/kALXaro83i6MBpgeFVwZDB6+91YezkDGd4g+DPc72o7kguAQe3a0Ug+4DF/2VFgLTib+IKmwU8JFgdo948DX2/BcwUWEVh4bTC0+?rBUzrZOWMZS03BMMrwbgpsEbBCtCkz1n1ra7tS+tyFgA3pUq9/mwM5piLH1nRq+VshOg/JQPcElIzD+zDe0Oqj2V1806DCRsE44PdJI474YZ2/06QdfA7gwWXhuppYOf489krAa6ADwl+vjoPk6yLwCiH9bWdDO8kmLAhsNjBKWZlLKMJ/AFw90owvHvjXtNg2ozet2hYxzaHwDhRgNJgvyBWr1YSB8Cdq3srlwJzaWtLGyi8Y/BFA1dQ1VQwFklkKL2dLPAxAItPAzUGVndZVuXYTDfaBO8g12VgtBhbSnl9AzkE7l5FW0YFwXk4UWVyrvAy+NkTj/ekktYB0yqT+UhAuXqiGXw08DuD8XgBBiwPZnu+YpcAw6twNy0DvBrujw2D8Xybt@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;hi5lDQHLi5+gvwm65TcO22Fl5FOv5ccS4tTqQmcbXVYjrNHtk9z8QIUL5v7XCdjKhaKzcwc5lXTIwM6;dkXrRabrVcvpMcC2cFU/UF90LTk3Lt0iAZsMCF6e4UB5EK3nV+3RecJOc+GO9us61jrvTjxxY+CIr1sPvFOuBkdld/JR2wNeDuaFscnQ/uI/qjYLhbZdz9oZjzgXPLH7n+HeltWI+TJVx216Ef6fA/E/gJyP7lPifWJuU)ASUVORK5CYII=$/9j/2wCE?gGBgYGBggGBggMCAcIDA4KCAgKDhANDQ4NDRARDA4NDQ4MEQ8SExQTEg8YGBoaGBgjIiIiIycnJycnJycnJycB.gI.oJCw@Cw4LDQsOEQ4ODg4REw0NDg0NExgRDw8PDxEYFhcUFBQXFhoaGBgaGiEhICEhJycnJycnJycnJ:BABEIAKYA+gMAIgABEQECEQH/xAB9?ADAQEBAQEB)))AQIDBAUGBwgQ?EDAwIDBQUGAwgD)?ABAgMEBRESIQYTMQcUIkFRFTJCYXEjM1JTgZEkYsEWJTVDcqGx0YLh8RE?gICAgECBgMB))?ECEQMhEjFBUYEEFCIyYZEjQnGx/9oADAM?AEBAgEAPwD9/))))AQ?wEACGAgAL?EArGAhZGFlBkjUPIUMoZOQyICgEADG)))))AgAQ?AFgAhjFYAIWQCyhCyLIUKyhZFkWQE2ULJOSHyIxPn5INKxK26W2zRXI1NzPWphrVy5LRS+NG6x8Vs2RRopmilIpLFRogyEKJYhjJGS2MoBAKwKAQx2I?Bg)AgOeSR2vwrsnQaVgk2dAGTJk+Lr6+RoDTXYpJrsAEAEWACFkZNjJV24ZMXu8SjSKht+xrqDUY6g1FcS+JrqDUZahag4k8RyztjT+byQzy1yas9fMUrEkTKe96nMir5mkYqtd+TqwQg46+7ybopo0wapq0JIqUTdC0M2mjTJmLRSFAiDIZIAMRD?ACGAxiGUmAwACkI?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?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?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?3E1Q3Fo?BCE?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?VPio79i8nFRqXb6Ok?5zlAQwEBIDEACJKEOyWiFQyeim6oSqFJjWjjecFTYbRd6mnqrnRRVctE5X0rpmo7Q53XbovTz89z2XRt9BMjRiGjmnGjWWRPG4pU2AF4DBFmFEaRaTTAYFyKRjpErTfSTpBSNEzHSNsfiQ10lsbsNz0NzpEq0zc06FQzcgRYokQu0O0+SnScrmnRE/U3cJryGSN/UvcolTQh7dvmSiEZucZOcNzjJzjWJvGInOM0R0jtLE3Kax8rtLE+vyO+KFsLfDuv4vUqUlFfkuU1BerJgp2w/616u/ohsAGDbbOZtt2w?EI?BAIBi?EM?nAlQrAYGBGAwXgMDsCEQZRzXDv3caj2bo77oVafm5Viv8AJHYUTCjcMH49w1dOLpOKVqHNmrZs8mvgd4Wtj1b/AMkehd06b/U/YxATgMFYD?RpLAYAJUJwWJRoaMXNJaqsdqNsGaoaJmiZui7DIiR2nxFmbMmqZhPEuNbf2OZkTpXeievoegJET0LU2kaRyNKv0JkbY26Wp/7KACDO72)))))IBgACAY?gG?ZsiijV7o2NZzF1P0oiK53q7HVSxgACwAwE)ACGAwJGjUGAD?AB))))H/2Q==$/9j/2wCE?gGBgYGBggGBggMCAcIDA4KCAgKDhANDQ4NDRARDA4NDQ4MEQ8SExQTEg8YGBoaGBgjIiIiIycnJycnJycnJycB.gI.oJCw@Cw4LDQsOEQ4ODg4REw0NDg0NExgRDw8PDxEYFhcUFBQXFhoaGBgaGiEhICEhJycnJycnJycnJ:BABEIAKMA8AMAIgABEQECEQH/xABU?ACAwEBAQ)))?AQIDBAUGBx?AQQ?wYCBgkEAgM)?AECAxEEEiEFEyIxQVEyYRQjM3GBkQZCUnKCobHB8FNiwuEkkhWD0f/a?wD?AB?I?D8A+/g)))))))Al?sBCVRDHaCtRCFY6JCsQrQWYdErGQtADMFE7UZCyVjRRKhIZEaEhD?AQAJbvyFxa/ALAkAEadS3zA.C4r8hU6hWBICPFf87BTsoX5ASANaE3NXEMBgVqi5nO8uHl5g7PSUq/lzFYFgFaZ83kN+fTLyCwJKoiCo635U6aLpzEu8pNV69v9hYE1EQXecWv6dyKo62rrzX/AEJVHfkpMQneFSpVdp0SkIolg5+XoqltizeZU5Voha9ySMsqdNS1Sl+dO4Z07me3UJHOtPcS3ZD0nXkuprzISaZsxbG7mQVK1LmSI7QvQdlaKSGik1QmgyJIkR)?EADEFisB0SFZGxCsKJKBBziOcWYdJ3JrIl1X8VaFvNOS9k+dEFc2+loCPY5vl2UVi+KE0k5JWvWgV61aJ1RCOaPTkNFa7TShh8UHvE0Tr0BzsqX8BcOZO9UgK5tLpoi9QAWZbTtV+ZBZNE0UlbLTlZFVjrpQvgJV/uRCKyeX8orV+n86knK2yDqJtRDO9zqXiTqDnaFSy89OtfkN7tDK56dEpENEcaGCedU5LRc6ZNSO/Mj5ksr3ydkN.p2MTsW6+Z0knTUuikXX3nMZMhtw7tFKZokRq6GnC4pyyIir3NySIWtXQytVC9vIxLodqNyu59i1CSEEJoSQkowAQxAJQsqc4SqSTUlmIZyp8hQ6ZLKlf0LUZpZrzoRWQz5yKyoXpCpz3YtE6l0knIhvE7mWedOHXuU+@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)ijE/V+JdZBVTty5EXapRJui2ZkjXsRdg1f0NmYZHI0s3juhzXbHY/xu/ITdh4Fqpmar/jX6UdMB5GpyIq9y6KZm4TDR+CJvy1J5E7FpEFVy6qqr7yDY2NSmtRvuSjPI3kV5fI0vRNCumjR9FT8PmVaQqy+Q0aWaEqaNZL6iTDKnQg1pY1BoidiSELstbHlGhJBISGiE1G?SIgABY?BYW?AW?A0EMAGAhjE)QcUSvyV3NClckbXpxfMg5FrQm1UshG8rlxKsfkanvLUYjEKZYY5HZnWnu6kVzdyxMubVNDQx6PajjzeL+lbsLiE9U12Gvi55+fiTp8KO+1UaiNTROhzpNgbOmxKYmRrvFm3V8HftfwsFVdKEiIl2nuOuMWo9SZAg4jlLFAVDRSvKPKTodBQZiOUaEqHQ6I2IdDoB0KxASAKCyIiYBQWQ1DUmAUFkdQokAUFioBgMQ))CoYABW4zvTU1UQcwg5CxrqM6FzQSMnQmoNzrHQ6GBMrFQUMYUFioKGAx))))))))))AIYABEYwEMQwAYg))))))))))?AD/9k=%iVBORw0KG;)NSUhEUg?AN0?ACMCAM?ADPyFx6)MFBMVEX::Y3f+0t7d5fn/l6f/y9P/S09Ocn6Dl5ub8/P/4+f/19fUqNTjs7v9OVVfM0/+r8b/J?AE10lEQVR4Xu2cy3LrQAhEDcxTL:/317JOGFLZ3FnUKlXXtipnNAM41SL15+0smynhNfX/dSO7auj3Q5uVTjFmx7gY7Ojul3G6kp1ZwlgM8hlF1X9ecFRbHb4qmdQPD0dX1hc+NCCeFTj1E6+vbMe7uKV7RSXIlrvmbWd+q1IcRfPejUGXQFsJsqmDg3gTKUTd69eOrbp+65+Zp0OLyddU6ov5dSN1zaTk45/HXlMP855Mx0gnQS4rFTZNuGG1E4nQdmULoK8dAp1VBYtdwgV: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?cAm832Tzc4hpgG9Q1vtbJDj0gZwwu2b7Aj/.31+uDcRuFK8JzqVcoQ1wff9pp3vTfdNtaf81/DwP3QqZXxXaTaa)AElFTkSuQmCC%iVBORw0KG;)NSUhEUg?AKY?ABNCAM)b1e8E)MFBMVEX:/+xp76ThaVfWmX07vzR0NN5c3/l5eXj1PX19fXr4PkoKCjTufLey/b59v338vzKALpu?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)AElFTkSuQmCC%iVBORw0KG;)NSUhEUg?ANw?ACNCAM?ADrVuTh)YFBMVEX::4x9v2s9D85e761OP97fP++fvEwIH0msH+8/fe2HbRy3zq4XH71I6VlZWhoZq9vKWxsbHNzc3PzKXi4uKxr5Lx8fH28bD4+Pjd2anp5a3/+rP06HCa9NH/9Gj/9429Bui2?AD/0lEQVR4AdzYa4viMBTG8bwr1OE5J9dexul+/2+5GGZhbepYY8Rn+n9hQAj05wnWal5REkmXNYgzh8sBWWWB0RytUWxGOag5Xi7@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)AElFTkSuQmCC%iVBORw0KG;)NSUhEUg?AIw?ACKCAM?ABPR1IR)MFBMVEXg4OD:/+qufHN0+y8xu729/mMoeyWqO3c3+/x8fGfsO/r6+vl5eXn6vqEmurt8PsdAqXn?AEVUlEQVR4Xr2cC27jMAxESX38TdL733bThUs4xEIL8aniAYTX4XhcKpakZlfbf2p3pbfa2FKi6+unlmVZ10M6q6pV/VzpSNJVp2h2MKUT5lSr/MnSu1QVrQ4mSWep1Wowa0QYFdXkxM3RPm2uSb3CqKg+HUy0T/ZXXU1KuYvloSqmrsFE+/RFhfkLk9Eq1qey3IVJ/cKo2BN5WybWp3W5WEKr7BeMlo+nIKUc6dP2prgvUnrXuGCeI/qU3jBAGIPRg/fpua7LVRHjqcE4C5vEPUsVg4nY97zB6PIi5pOq9VgvmtAK9Q5TXuSxlFO3400DhVEZElii6bikWcPCGIweTJrtG+aqo9t0D73B8JdcTkYTCTwHQy38DXNcLEdIGIPhFi4/0hz9Td49jH7xPl2VemVVD6OamDTJaKLCGAy3cLlogDAGgy2c07v+oqQSCDwPk9k/EskqBwLPw9QXkqZ8cyBhDIZbOGNhDIb/j2V9igWeh9GV9SnSpd3BjLJwBsJ4GG5hIIyH4S+o0m9fbcAwC2cgjIfhYwIQxsPwMaF00p8NGGzh3AlfGzDcwkAYD8PHhAyEcTB8TACB52H4m?Cz8GAMQELYzDcwlwYgwEWJqUtGD4mgMBzMLMtrA2Y2RY+GzDTLVzbMGhM4IFnMPMtXBsw0MJcGA8DxgQeeB4GjAk88AxmvoX3Bsx0C2sHTGBMoIFnMNMtXDtgwJgAhDGYuRauHTBgTACBZzBzLVw7YMCkC4QxmLkW3gMwvzYmaBtmqoX3DhgwJkBhPMyESfcMw2wOpkyAmWrhOExxMHmqgb2FJ/eprVv6gBkiTRxmczBlZgL7eo6HecxtE39rN4cEgxk78vNHm1cMpv7Oe3sPweRAz?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)ASUVORK5CYII=%iVBORw0KG;)NSUhEUg?ANw?AB8CAM)1mC5d)wFBMVEX:::v:9v:9:/7f6xpbRxZnGklqPDtcX75fz:f/Vxdc?ACXjJj88:/+v+Ge4exnapWUFfdyNwmIib/9P9BO0HNvc7o0+j+8f714fbLt8zu2u7SvtXy3fJjVoz9+P9kW2T89f/jzuTEq7iri5H69P81MTXezuC6s8ObcXXAosNzYpWjfoGbpbCFmKCSYpaToKqbbJ+Gc6GOnqh9a5uXhKy2m7358f+id6X38P2rhK2uibGKmqSlkrWzkLWRjuj2?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@Bd8kbvj8W9Hxm/2Tbbj4qVNVyj59lN9srZGe7d5dF5Z2wq28ZUXlqPbXDVBvSOahcZgOO3mFHNbKgVzAu0bmuVYFdmKngd6H6+BPezdRko9z1rq3EBaJAZOUHx1pcvyrpiUxlWVA3BQpiQDbKbcoq6uLvaWT9ehvtmgYHJYmTaijXYYO95JWxa9qACHXDdlW53+cJ;7jSJZkZNmN6wHLgqbIxbDikP/xF8wxcN7ofL8X90BBUpNoG3Qgf1GUjls4wHI+TIGNckGWTXZZlK2ZFwThYBUGwJ5znL5d+IgCzibf1/KNxYZeVgw1lMConbZTfZB4CPqk+poybpuk04z0h25apzMqyvFRkp24lqOWsY84xC5ePoOKYc9gs6/abDokSAnKvzAi3m0rcmBDBXO2nr8MDH/RE5Zi5POtseadxsEFXnC1l4XTZ/viDcSSa+1nIuJBwo0zi2MjCwKIEy/SacRyyrftY51C40rqFY8O9sg0fBI1snGHGpxOfP72jmsQ5bhIHEueJ4zdw0352KFgFYKPgLnrPaD3e/tC48TQMSRLyx0kZ+RLnEzh6lDiqWnTIcf7Z95a3Bg62RNsCo3BKR7ApXwvxxwkjQtOlPEtL3Fgdv69xHH1JnP98KljgVGCVFgLYrjCbuGwDTtse6HA6T+eZ+PgdKcePjCPdMp36ErdXx2/gTnSeO9Q+JNgBVwqO4qGeKQUOhSPrzU241ZPPSp94In9mRQR6Eqv44TB4ef6fk7i5HLgCZ+giVPZK4R5yG3CYWPMEqci4i4PB/j/foWA58ATO0AUYk8KGTql0w4fhDXBFmxUF1D0fgw5s3dx+7UkXl3VrYzZhXNk2vKkqHI663WRz+V/vLfOeJ05y4MXFZWBrFg4jrqJw3ci6uXHO74CAU8IdlsERzgLSBlx+HDiJ7fhnBXV3QJjtJ8UEQYAGASAHFY4DG6aTE9k6eMqTvG3JCstAqXDDIdlMXKe0Lp7P3Tfb7qXNHHGMO7Gtiyer+2bcHrZhyUZYE9c97eXPxC3kiEerwZXqlMZxwFzjULaTxG56m8GusMHnNr3N4EqbKBxH2h7EGgfciW3t76GAhjtXJKzH3bGNIguHDIdm4U5Fa3+DyKq8c4Uwvq8tnAPbsEDjTso2CjolbL0FtKaMdHD/SphhjntQNrNwg1eNM2W4gC0WjmDok7CB1qvNOlYG24Ow5SNO0l6xbYQYMFMm5klhG8rBJmmv0AbcqDomDWVjkv6C2/NXZsOIa3RBxmEOm/QXwoLGge21F86APRBEoLhksmzl51X6xh20V4a7kn9RamTojhfZ3M8HmyN0dbXrHwdShYw5iPxJvPgjaY6iwXZ6QOghE47gXKhzpzc4BCJs22UyXphoVZgVE+iqsUo9qUop1wnpQBMB7bTx03IELkllrgeBbGBcliLzTOKytJgpYLx0895kyL8uaU6ZFluiR7wuHCA3HAPHnjzs46cZRtWMzfepcXN/KsrhLzXuYiIF1C0zlgSMm8hPTadC4jEumErVdLpkHFQ4AXC3JBrFoJ0N5/PDPf7iKRxejY/k+7p7NZ8IyNWVqGZ2IyJwxAgZZ9JuBC6kucSg9Yxz5ywYD/bssMq4K9FUwNHRJqHqjYs0HnHcbxkHGucMNCTw/UDj7nzfVziCcqIx10/agNualWPlUIRcm81G/INtCx7RCWiAnQGHaFwp14IgHpYVccswWDIoAU4mJBBCMqbZa7I95rQRUEhPuNtU5hE2wiHZjYnTdXM3myHxhsOFbV/zJyWOhYQjYtxj5ZBMMlYVuGV48wxHUkZxmLYhW8jqaKRSVbfecNGcHdfahm4ZkkNnIWCOs1BhnutS8Rac7SPhZoBV2HrDyQV8lduu5IRSoDm2wNm2vSVzstiwjXRk23DpJuiWVH65RX3duALNsYU3pSKF7N6wDiGyw79QPri/km5pASdswKFqHI3bCZwr5hNhXFBse0o62IA7Ky9VmRRplp4XNU5vJKVtyDRjb7lw2cZxuV/aYrpcVtuQM+JAy3G6bsDBZuJIxMGkInDXciUA7dw64EBrxg2HbKN+Z+BcUTBXZKNx4+K2speRh8D27O5OH7mHoBHQodgcQikWbDzsCOc7sNUOvP5xbFM62EgGW1EnqBKXBhW23nCWiYNO0m5k3cinaGoJx3jjv8WPC7HQpfOnXAVZPzrQSjjUjjbE2mYjQpvLXCwGDo9Kr+YJ6vl1qFvtoCOICkad+pFgJOMQTegcZ+WrblnFAK43Wwwb41SdaJQxTehybD7sZOXskUqdogdcbEThOKpOtpCJ0tj8PWxcO4qUK1ts0HrBgQYdgrtY1M1WItExlQ1hNUXZ4gbC2XFVUaVjkbBp2oJgDkPFXza5ZG8sXQkB0AfOm4/dugEHnQjzmMBDTkf1Pkfn+UM82HrA3fEZNELd6gLcgmyIlJmJCwGkD5w7nstXiGGrCXAMlCnVybD1i0MuSBcIXNyGG5VwXz7V5Is8etfTrN8/1+T3rqXXhIOtCecQznG0bfWpNquWghw+1+bQMW5KOKsdxyGbnvvdv+txf7uNOPtrPe6r3S0uPR4npkOp8z41xGss3LvPDXnXOc6HrR0nS3fxqTHbQX2iz43Zdo1bHo0TQJpVvjTjPjbg/mzG/dkpbky6w5E4AbQde/apJU+17yvcfm7JbZe4A+Eej8JhM7L4rqcOz4ieZr7bNcMu1svA13dGvuqGuOPpMg2OwYH3RhcoIULpLjnRLWHNcrDTBZrpdfxZSXcdufCocX/EbIlEuj5fcjZTmPgRy0Hl+dQtDi18whiMbnc4j2xj6wgcgFgG9gU040iHadQzcJLyC5Oi9Wz3tdW4f7udUJ6OwinfGsuZA1p+OZnLK3B7bftVdVbFAnjR5fYrbd9bsiyWOPS8yLaLPPkhbF0+6qOclQezycJCKrYuv/eAkwXEpnLFVww2jnG6tjtjtuEoZ5JvIYs25ND5FnMicO06hdvoZeCLul2QJ9bc6OgF/vuCUXGuyyujsCYur6zTDw7LwK0tdbgSYmNpTL4RKNgsjKm1YUP2XW8xM4Fr10n7FkNK7DFdN78Xkl20NCiZBVyUz4amDflX66JObDta5uaYqltxmE22hKMQStI4Cod10GMAcH9pXGTV4rAO/tUBzZ2mlEw6j8A9ocvhtrkQW+JidN11AXeLLtd02XzX5RZzTTbfLSxFjbjCZEG7aMeg6ZUhXnwvLgdywI0wWYywNanQjfJJpwPdnX8HaaOO3VgGEkaUK+c4snAxJcFyAVxxUylpwJUyO8EWs13HbhROHxDEQofLZ+BilI5xQodN/wC46uCDZ7x3ZrZZOeaxkMJlwy7MqBzpKiqHnKNy0FX7hHmE0qk1DUCmAWfnYw44Y8wBUzvmwD9F9Yo+gPPZclSItulPF2dLZH3UAv3OmC1PpFNE0Ix1Lqq/Ry+vc8hfrQu0uc6d3IeYOxSrzpYfWCPAjB0K0rJDOZMQunxvKU6o/LfxNuwtuq6FGHvLOpvRdc8ZgVvgVDCCmmEg5OuFbeDspsnCPBWcP2woTPOVwXIxK7jM81zLQ4Rk0EcYgCG1qLJt8kGJYLv1J07iVbaFcRLvg7fHmGKsCcCYvMhVyAXuUBqXgf2gv2BO2UIHxgXkzbPhFqSq268ek98BcSXLAPTZTSVu87XykYB5b9lnMGc8mQDsYFbw1N84I+aNc6/JZ/s3RrBOxATp4FlBH1l/agkt0x085ekpH0/4fK73RM24qIsnq/0vB2awDHTwTLy34Dxake8OIC9+m2ExeA1J6nEJHF2/h9L/nPJx0JYTvkH0Pw/X1nfB7YMF)AElFTkSuQmCC%iVBORw0KG;)NSUhEUg?AK)BiCAM?ADgMSig)GFBMVEX::evu/06vnm5/nm1PT1/v/WpOns/v9gQvwO?ADaUlEQVR4Xu2b4WrEMAyDJ9tp3/+Nt4MSFkS/48JKOqh+VndFsa1UzW1fnyPi655o+w9K2w+Uy8W0tmeWtHVif0HbAbV1wiKrpEOIBn1bxwKFXcSA+t1f/Wa0SGCOAvOcikUuMBVWwAO1QKCrsOav7PHuAgUCt9t4ZL1AMIIXt0N38EgDru7gEa7u+hEUqK8beaSzWrnJNOhi52XS13rEP5GlbVN15au3acb6EbydwLyhQI4yjPVRBnArj7QXNKB+UVEDol/PKvT78MGqdAkbe4TGkwbjdTX13mrt+GCH0msEIgK2cEjarjlo6kdYakeP?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)AElFTkSuQmCC#!