Merge pull request #5132 from minrk/oops-pdf-transform

remove application/pdf->pdf transform in javascript

IPython/html/static/notebook/js/outputarea.js

@@ -1,866 +1,864
 //----------------------------------------------------------------------------
 //  Copyright (C) 2008 The IPython Development Team
 //
 //  Distributed under the terms of the BSD License.  The full license is in
 //  the file COPYING, distributed as part of this software.
 //----------------------------------------------------------------------------
 
 //============================================================================
 // OutputArea
 //============================================================================
 
 /**
  * @module IPython
  * @namespace IPython
  * @submodule OutputArea
  */
 var IPython = (function (IPython) {
     "use strict";
 
     var utils = IPython.utils;
 
     /**
      * @class OutputArea
      *
      * @constructor
      */
 
     var OutputArea = function (selector, prompt_area) {
         this.selector = selector;
         this.wrapper = $(selector);
         this.outputs = [];
         this.collapsed = false;
         this.scrolled = false;
         this.trusted = true;
         this.clear_queued = null;
         if (prompt_area === undefined) {
             this.prompt_area = true;
         } else {
             this.prompt_area = prompt_area;
         }
         this.create_elements();
         this.style();
         this.bind_events();
     };
 
 
     /**
      * Class prototypes
      **/
 
     OutputArea.prototype.create_elements = function () {
         this.element = $("<div/>");
         this.collapse_button = $("<div/>");
         this.prompt_overlay = $("<div/>");
         this.wrapper.append(this.prompt_overlay);
         this.wrapper.append(this.element);
         this.wrapper.append(this.collapse_button);
     };
 
 
     OutputArea.prototype.style = function () {
         this.collapse_button.hide();
         this.prompt_overlay.hide();
         
         this.wrapper.addClass('output_wrapper');
         this.element.addClass('output');
         
         this.collapse_button.addClass("btn output_collapsed");
         this.collapse_button.attr('title', 'click to expand output');
         this.collapse_button.text('. . .');
         
         this.prompt_overlay.addClass('out_prompt_overlay prompt');
         this.prompt_overlay.attr('title', 'click to expand output; double click to hide output');
         
         this.collapse();
     };
 
     /**
      * Should the OutputArea scroll?
      * Returns whether the height (in lines) exceeds a threshold.
      *
      * @private
      * @method _should_scroll
      * @param [lines=100]{Integer}
      * @return {Bool}
      *
      */
     OutputArea.prototype._should_scroll = function (lines) {
         if (lines <=0 ){ return }
         if (!lines) {
             lines = 100;
         }
         // line-height from http://stackoverflow.com/questions/1185151
         var fontSize = this.element.css('font-size');
         var lineHeight = Math.floor(parseInt(fontSize.replace('px','')) * 1.5);
         
         return (this.element.height() > lines * lineHeight);
     };
 
 
     OutputArea.prototype.bind_events = function () {
         var that = this;
         this.prompt_overlay.dblclick(function () { that.toggle_output(); });
         this.prompt_overlay.click(function () { that.toggle_scroll(); });
 
         this.element.resize(function () {
             // FIXME: Firefox on Linux misbehaves, so automatic scrolling is disabled
             if ( IPython.utils.browser[0] === "Firefox" ) {
                 return;
             }
             // maybe scroll output,
             // if it's grown large enough and hasn't already been scrolled.
             if ( !that.scrolled && that._should_scroll(OutputArea.auto_scroll_threshold)) {
                 that.scroll_area();
             }
         });
         this.collapse_button.click(function () {
             that.expand();
         });
     };
 
 
     OutputArea.prototype.collapse = function () {
         if (!this.collapsed) {
             this.element.hide();
             this.prompt_overlay.hide();
             if (this.element.html()){
                 this.collapse_button.show();
             }
             this.collapsed = true;
         }
     };
 
 
     OutputArea.prototype.expand = function () {
         if (this.collapsed) {
             this.collapse_button.hide();
             this.element.show();
             this.prompt_overlay.show();
             this.collapsed = false;
         }
     };
 
 
     OutputArea.prototype.toggle_output = function () {
         if (this.collapsed) {
             this.expand();
         } else {
             this.collapse();
         }
     };
 
 
     OutputArea.prototype.scroll_area = function () {
         this.element.addClass('output_scroll');
         this.prompt_overlay.attr('title', 'click to unscroll output; double click to hide');
         this.scrolled = true;
     };
 
 
     OutputArea.prototype.unscroll_area = function () {
         this.element.removeClass('output_scroll');
         this.prompt_overlay.attr('title', 'click to scroll output; double click to hide');
         this.scrolled = false;
     };
 
     /**
      *
      * Scroll OutputArea if height supperior than a threshold (in lines).
      *
      * Threshold is a maximum number of lines. If unspecified, defaults to
      * OutputArea.minimum_scroll_threshold.
      *
      * Negative threshold will prevent the OutputArea from ever scrolling.
      *
      * @method scroll_if_long
      *
      * @param [lines=20]{Number} Default to 20 if not set,
      * behavior undefined for value of `0`.
      *
      **/
     OutputArea.prototype.scroll_if_long = function (lines) {
         var n = lines | OutputArea.minimum_scroll_threshold;
         if(n <= 0){
             return
         }
 
         if (this._should_scroll(n)) {
             // only allow scrolling long-enough output
             this.scroll_area();
         }
     };
 
 
     OutputArea.prototype.toggle_scroll = function () {
         if (this.scrolled) {
             this.unscroll_area();
         } else {
             // only allow scrolling long-enough output
             this.scroll_if_long();
         }
     };
 
 
     // typeset with MathJax if MathJax is available
     OutputArea.prototype.typeset = function () {
         if (window.MathJax){
             MathJax.Hub.Queue(["Typeset",MathJax.Hub]);
         }
     };
 
 
     OutputArea.prototype.handle_output = function (msg) {
         var json = {};
         var msg_type = json.output_type = msg.header.msg_type;
         var content = msg.content;
         if (msg_type === "stream") {
             json.text = content.data;
             json.stream = content.name;
         } else if (msg_type === "display_data") {
             json = content.data;
             json.output_type = msg_type;
             json.metadata = content.metadata;
         } else if (msg_type === "pyout") {
             json = content.data;
             json.output_type = msg_type;
             json.metadata = content.metadata;
             json.prompt_number = content.execution_count;
         } else if (msg_type === "pyerr") {
             json.ename = content.ename;
             json.evalue = content.evalue;
             json.traceback = content.traceback;
         }
         this.append_output(json);
     };
     
     
     OutputArea.prototype.rename_keys = function (data, key_map) {
         var remapped = {};
         for (var key in data) {
             var new_key = key_map[key] || key;
             remapped[new_key] = data[key];
         }
         return remapped;
     };
 
 
     OutputArea.output_types = [
         'application/javascript',
         'text/html',
         'text/latex',
         'image/svg+xml',
         'image/png',
         'image/jpeg',
         'application/pdf',
         'text/plain'
     ];
 
     OutputArea.prototype.validate_output = function (json) {
         // scrub invalid outputs
         // TODO: right now everything is a string, but JSON really shouldn't be.
         // nbformat 4 will fix that.
         $.map(OutputArea.output_types, function(key){
             if (json[key] !== undefined && typeof json[key] !== 'string') {
                 console.log("Invalid type for " + key, json[key]);
                 delete json[key];
             }
         });
         return json;
     };
     
     OutputArea.prototype.append_output = function (json) {
         this.expand();
         // Clear the output if clear is queued.
         var needs_height_reset = false;
         if (this.clear_queued) {
             this.clear_output(false);
             needs_height_reset = true;
         }
         
         // validate output data types
         json = this.validate_output(json);
 
         if (json.output_type === 'pyout') {
             this.append_pyout(json);
         } else if (json.output_type === 'pyerr') {
             this.append_pyerr(json);
         } else if (json.output_type === 'display_data') {
             this.append_display_data(json);
         } else if (json.output_type === 'stream') {
             this.append_stream(json);
         }
         
         this.outputs.push(json);
         
         // Only reset the height to automatic if the height is currently
         // fixed (done by wait=True flag on clear_output).
         if (needs_height_reset) {
             this.element.height('');    
         }
 
         var that = this;
         setTimeout(function(){that.element.trigger('resize');}, 100);
     };
 
 
     OutputArea.prototype.create_output_area = function () {
         var oa = $("<div/>").addClass("output_area");
         if (this.prompt_area) {
             oa.append($('<div/>').addClass('prompt'));
         }
         return oa;
     };
 
 
     function _get_metadata_key(metadata, key, mime) {
         var mime_md = metadata[mime];
         // mime-specific higher priority
         if (mime_md && mime_md[key] !== undefined) {
             return mime_md[key];
         }
         // fallback on global
         return metadata[key];
     }
 
     OutputArea.prototype.create_output_subarea = function(md, classes, mime) {
         var subarea = $('<div/>').addClass('output_subarea').addClass(classes);
         if (_get_metadata_key(md, 'isolated', mime)) {
             // Create an iframe to isolate the subarea from the rest of the
             // document
             var iframe = $('<iframe/>').addClass('box-flex1');
             iframe.css({'height':1, 'width':'100%', 'display':'block'});
             iframe.attr('frameborder', 0);
             iframe.attr('scrolling', 'auto');
 
             // Once the iframe is loaded, the subarea is dynamically inserted
             iframe.on('load', function() {
                 // Workaround needed by Firefox, to properly render svg inside
                 // iframes, see http://stackoverflow.com/questions/10177190/
                 // svg-dynamically-added-to-iframe-does-not-render-correctly
                 this.contentDocument.open();
 
                 // Insert the subarea into the iframe
                 // We must directly write the html. When using Jquery's append
                 // method, javascript is evaluated in the parent document and
                 // not in the iframe document.
                 this.contentDocument.write(subarea.html());
 
                 this.contentDocument.close();
 
                 var body = this.contentDocument.body;
                 // Adjust the iframe height automatically
                 iframe.height(body.scrollHeight + 'px');
             });
 
             // Elements should be appended to the inner subarea and not to the
             // iframe
             iframe.append = function(that) {
                 subarea.append(that);
             };
 
             return iframe;
         } else {
             return subarea;
         }
     }
 
 
     OutputArea.prototype._append_javascript_error = function (err, element) {
         // display a message when a javascript error occurs in display output
         var msg = "Javascript error adding output!"
         if ( element === undefined ) return;
         element.append(
             $('<div/>').html(msg + "<br/>" +
                 err.toString() +
                 '<br/>See your browser Javascript console for more details.'
             ).addClass('js-error')
         );
     };
     
     OutputArea.prototype._safe_append = function (toinsert) {
         // safely append an item to the document
         // this is an object created by user code,
         // and may have errors, which should not be raised
         // under any circumstances.
         try {
             this.element.append(toinsert);
         } catch(err) {
             console.log(err);
             // Create an actual output_area and output_subarea, which creates
             // the prompt area and the proper indentation.
             var toinsert = this.create_output_area();
             var subarea = $('<div/>').addClass('output_subarea');
             toinsert.append(subarea);
             this._append_javascript_error(err, subarea);
             this.element.append(toinsert);
         }
     };
 
 
     OutputArea.prototype.append_pyout = function (json) {
         var n = json.prompt_number || ' ';
         var toinsert = this.create_output_area();
         if (this.prompt_area) {
             toinsert.find('div.prompt').addClass('output_prompt').text('Out[' + n + ']:');
         }
         this.append_mime_type(json, toinsert);
         this._safe_append(toinsert);
         // If we just output latex, typeset it.
         if ((json['text/latex'] !== undefined) || (json['text/html'] !== undefined)) {
             this.typeset();
         }
     };
 
 
     OutputArea.prototype.append_pyerr = function (json) {
         var tb = json.traceback;
         if (tb !== undefined && tb.length > 0) {
             var s = '';
             var len = tb.length;
             for (var i=0; i<len; i++) {
                 s = s + tb[i] + '\n';
             }
             s = s + '\n';
             var toinsert = this.create_output_area();
             this.append_text(s, {}, toinsert);
             this._safe_append(toinsert);
         }
     };
 
 
     OutputArea.prototype.append_stream = function (json) {
         // temporary fix: if stream undefined (json file written prior to this patch),
         // default to most likely stdout:
         if (json.stream == undefined){
             json.stream = 'stdout';
         }
         var text = json.text;
         var subclass = "output_"+json.stream;
         if (this.outputs.length > 0){
             // have at least one output to consider
             var last = this.outputs[this.outputs.length-1];
             if (last.output_type == 'stream' && json.stream == last.stream){
                 // latest output was in the same stream,
                 // so append directly into its pre tag
                 // escape ANSI & HTML specials:
                 var pre = this.element.find('div.'+subclass).last().find('pre');
                 var html = utils.fixCarriageReturn(
                     pre.html() + utils.fixConsole(text));
                 pre.html(html);
                 return;
             }
         }
 
         if (!text.replace("\r", "")) {
             // text is nothing (empty string, \r, etc.)
             // so don't append any elements, which might add undesirable space
             return;
         }
 
         // If we got here, attach a new div
         var toinsert = this.create_output_area();
         this.append_text(text, {}, toinsert, "output_stream "+subclass);
         this._safe_append(toinsert);
     };
 
 
     OutputArea.prototype.append_display_data = function (json) {
         var toinsert = this.create_output_area();
         if (this.append_mime_type(json, toinsert)) {
             this._safe_append(toinsert);
             // If we just output latex, typeset it.
             if ((json['text/latex'] !== undefined) || (json['text/html'] !== undefined)) {
                 this.typeset();
             }
         }
     };
 
 
     OutputArea.safe_outputs = {
         'text/plain' : true,
         'image/png' : true,
         'image/jpeg' : true
     };
     
     OutputArea.prototype.append_mime_type = function (json, element) {
         for (var type_i in OutputArea.display_order) {
             var type = OutputArea.display_order[type_i];
             var append = OutputArea.append_map[type];
             if ((json[type] !== undefined) && append) {
                 if (!this.trusted && !OutputArea.safe_outputs[type]) {
                     // not trusted show warning and do not display
                     var content = {
                         text : "Untrusted " + type + " output ignored.",
                         stream : "stderr"
                     }
                     this.append_stream(content);
                     continue;
                 }
                 var md = json.metadata || {};
                 var toinsert = append.apply(this, [json[type], md, element]);
                 $([IPython.events]).trigger('output_appended.OutputArea', [type, json[type], md, toinsert]);
                 return true;
             }
         }
         return false;
     };
 
 
     OutputArea.prototype.append_html = function (html, md, element) {
         var type = 'text/html';
         var toinsert = this.create_output_subarea(md, "output_html rendered_html", type);
         IPython.keyboard_manager.register_events(toinsert);
         toinsert.append(html);
         element.append(toinsert);
         return toinsert;
     };
 
 
     OutputArea.prototype.append_javascript = function (js, md, element) {
         // We just eval the JS code, element appears in the local scope.
         var type = 'application/javascript';
         var toinsert = this.create_output_subarea(md, "output_javascript", type);
         IPython.keyboard_manager.register_events(toinsert);
         element.append(toinsert);
         // FIXME TODO : remove `container element for 3.0` 
         //backward compat, js should be eval'ed in a context where `container` is defined.
         var container = element;
         container.show = function(){console.log('Warning "container.show()" is deprecated.')};
         // end backward compat
         try {
             eval(js);
         } catch(err) {
             console.log(err);
             this._append_javascript_error(err, toinsert);
         }
         return toinsert;
     };
 
 
     OutputArea.prototype.append_text = function (data, md, element, extra_class) {
         var type = 'text/plain';
         var toinsert = this.create_output_subarea(md, "output_text", type);
         // escape ANSI & HTML specials in plaintext:
         data = utils.fixConsole(data);
         data = utils.fixCarriageReturn(data);
         data = utils.autoLinkUrls(data);
         if (extra_class){
             toinsert.addClass(extra_class);
         }
         toinsert.append($("<pre/>").html(data));
         element.append(toinsert);
         return toinsert;
     };
 
 
     OutputArea.prototype.append_svg = function (svg, md, element) {
         var type = 'image/svg+xml';
         var toinsert = this.create_output_subarea(md, "output_svg", type);
         toinsert.append(svg);
         element.append(toinsert);
         return toinsert;
     };
 
 
     OutputArea.prototype._dblclick_to_reset_size = function (img) {
         // schedule wrapping image in resizable after a delay,
         // so we don't end up calling resize on a zero-size object
         var that = this;
         setTimeout(function () {
             var h0 = img.height();
             var w0 = img.width();
             if (!(h0 && w0)) {
                 // zero size, schedule another timeout
                 that._dblclick_to_reset_size(img);
                 return;
             }
             img.resizable({
                 aspectRatio: true,
                 autoHide: true
             });
             img.dblclick(function () {
                 // resize wrapper & image together for some reason:
                 img.parent().height(h0);
                 img.height(h0);
                 img.parent().width(w0);
                 img.width(w0);
             });
         }, 250);
     };
     
     var set_width_height = function (img, md, mime) {
         // set width and height of an img element from metadata
         var height = _get_metadata_key(md, 'height', mime);
         if (height !== undefined) img.attr('height', height);
         var width = _get_metadata_key(md, 'width', mime);
         if (width !== undefined) img.attr('width', width);
     };
     
     OutputArea.prototype.append_png = function (png, md, element) {
         var type = 'image/png';
         var toinsert = this.create_output_subarea(md, "output_png", type);
         var img = $("<img/>").attr('src','data:image/png;base64,'+png);
         set_width_height(img, md, 'image/png');
         this._dblclick_to_reset_size(img);
         toinsert.append(img);
         element.append(toinsert);
         return toinsert;
     };
 
 
     OutputArea.prototype.append_jpeg = function (jpeg, md, element) {
         var type = 'image/jpeg';
         var toinsert = this.create_output_subarea(md, "output_jpeg", type);
         var img = $("<img/>").attr('src','data:image/jpeg;base64,'+jpeg);
         set_width_height(img, md, 'image/jpeg');
         this._dblclick_to_reset_size(img);
         toinsert.append(img);
         element.append(toinsert);
         return toinsert;
     };
 
 
     OutputArea.prototype.append_pdf = function (pdf, md, element) {
         var type = 'application/pdf';
         var toinsert = this.create_output_subarea(md, "output_pdf", type);
         var a = $('<a/>').attr('href', 'data:application/pdf;base64,'+pdf);
         a.attr('target', '_blank');
         a.text('View PDF')
         toinsert.append(a);
         element.append(toinsert);
         return toinsert;
      }
 
     OutputArea.prototype.append_latex = function (latex, md, element) {
         // This method cannot do the typesetting because the latex first has to
         // be on the page.
         var type = 'text/latex';
         var toinsert = this.create_output_subarea(md, "output_latex", type);
         toinsert.append(latex);
         element.append(toinsert);
         return toinsert;
     };
 
 
     OutputArea.prototype.append_raw_input = function (msg) {
         var that = this;
         this.expand();
         var content = msg.content;
         var area = this.create_output_area();
         
         // disable any other raw_inputs, if they are left around
         $("div.output_subarea.raw_input").remove();
         
         area.append(
             $("<div/>")
             .addClass("box-flex1 output_subarea raw_input")
             .append(
                 $("<span/>")
                 .addClass("input_prompt")
                 .text(content.prompt)
             )
             .append(
                 $("<input/>")
                 .addClass("raw_input")
                 .attr('type', 'text')
                 .attr("size", 47)
                 .keydown(function (event, ui) {
                     // make sure we submit on enter,
                     // and don't re-execute the *cell* on shift-enter
                     if (event.which === utils.keycodes.ENTER) {
                         that._submit_raw_input();
                         return false;
                     }
                 })
             )
         );
         
         this.element.append(area);
         var raw_input = area.find('input.raw_input');
         // Register events that enable/disable the keyboard manager while raw
         // input is focused.
         IPython.keyboard_manager.register_events(raw_input);
         // Note, the following line used to read raw_input.focus().focus().
         // This seemed to be needed otherwise only the cell would be focused.
         // But with the modal UI, this seems to work fine with one call to focus().
         raw_input.focus();
     }
 
     OutputArea.prototype._submit_raw_input = function (evt) {
         var container = this.element.find("div.raw_input");
         var theprompt = container.find("span.input_prompt");
         var theinput = container.find("input.raw_input");
         var value = theinput.val();
         var content = {
             output_type : 'stream',
             name : 'stdout',
             text : theprompt.text() + value + '\n'
         }
         // remove form container
         container.parent().remove();
         // replace with plaintext version in stdout
         this.append_output(content, false);
         $([IPython.events]).trigger('send_input_reply.Kernel', value);
     }
 
 
     OutputArea.prototype.handle_clear_output = function (msg) {
         // msg spec v4 had stdout, stderr, display keys
         // v4.1 replaced these with just wait
         // The default behavior is the same (stdout=stderr=display=True, wait=False),
         // so v4 messages will still be properly handled,
         // except for the rarely used clearing less than all output.
         this.clear_output(msg.content.wait || false);
     };
 
 
     OutputArea.prototype.clear_output = function(wait) {
         if (wait) {
 
             // If a clear is queued, clear before adding another to the queue.
             if (this.clear_queued) {
                 this.clear_output(false);
             };
 
             this.clear_queued = true;
         } else {
 
             // Fix the output div's height if the clear_output is waiting for
             // new output (it is being used in an animation).
             if (this.clear_queued) {
                 var height = this.element.height();
                 this.element.height(height);
                 this.clear_queued = false;
             }
             
             // clear all, no need for logic
             this.element.html("");
             this.outputs = [];
             this.trusted = true;
             this.unscroll_area();
             return;
         };
     };
 
 
     // JSON serialization
 
     OutputArea.prototype.fromJSON = function (outputs) {
         var len = outputs.length;
         var data;
 
         for (var i=0; i<len; i++) {
             data = outputs[i];
             var msg_type = data.output_type;
             if (msg_type === "display_data" || msg_type === "pyout") {
                 // convert short keys to mime keys
                 // TODO: remove mapping of short keys when we update to nbformat 4
                  data = this.rename_keys(data, OutputArea.mime_map_r);
                  data.metadata = this.rename_keys(data.metadata, OutputArea.mime_map_r);
             }
             
             this.append_output(data);
         }
     };
 
 
     OutputArea.prototype.toJSON = function () {
         var outputs = [];
         var len = this.outputs.length;
         var data;
         for (var i=0; i<len; i++) {
             data = this.outputs[i];
             var msg_type = data.output_type;
             if (msg_type === "display_data" || msg_type === "pyout") {
                   // convert mime keys to short keys
                  data = this.rename_keys(data, OutputArea.mime_map);
                  data.metadata = this.rename_keys(data.metadata, OutputArea.mime_map);
             }
             outputs[i] = data;
         }
         return outputs;
     };
 
     /**
      * Class properties
      **/
 
     /**
      * Threshold to trigger autoscroll when the OutputArea is resized,
      * typically when new outputs are added.
      *
      * Behavior is undefined if autoscroll is lower than minimum_scroll_threshold,
      * unless it is < 0, in which case autoscroll will never be triggered
      *
      * @property auto_scroll_threshold
      * @type Number
      * @default 100
      *
      **/
     OutputArea.auto_scroll_threshold = 100;
 
     /**
      * Lower limit (in lines) for OutputArea to be made scrollable. OutputAreas
      * shorter than this are never scrolled.
      *
      * @property minimum_scroll_threshold
      * @type Number
      * @default 20
      *
      **/
     OutputArea.minimum_scroll_threshold = 20;
 
 
 
     OutputArea.mime_map = {
         "text/plain" : "text",
         "text/html" : "html",
         "image/svg+xml" : "svg",
         "image/png" : "png",
         "image/jpeg" : "jpeg",
-        "application/pdf" : "pdf",
         "text/latex" : "latex",
         "application/json" : "json",
         "application/javascript" : "javascript",
     };
 
     OutputArea.mime_map_r = {
         "text" : "text/plain",
         "html" : "text/html",
         "svg" : "image/svg+xml",
         "png" : "image/png",
         "jpeg" : "image/jpeg",
-        "pdf" : "application/pdf",
         "latex" : "text/latex",
         "json" : "application/json",
         "javascript" : "application/javascript",
     };
 
     OutputArea.display_order = [
         'application/javascript',
         'text/html',
         'text/latex',
         'image/svg+xml',
         'image/png',
         'image/jpeg',
         'application/pdf',
         'text/plain'
     ];
 
     OutputArea.append_map = {
         "text/plain" : OutputArea.prototype.append_text,
         "text/html" : OutputArea.prototype.append_html,
         "image/svg+xml" : OutputArea.prototype.append_svg,
         "image/png" : OutputArea.prototype.append_png,
         "image/jpeg" : OutputArea.prototype.append_jpeg,
         "text/latex" : OutputArea.prototype.append_latex,
         "application/javascript" : OutputArea.prototype.append_javascript,
         "application/pdf" : OutputArea.prototype.append_pdf
     };
 
     IPython.OutputArea = OutputArea;
 
     return IPython;
 
 }(IPython));

IPython/nbconvert/exporters/latex.py

@@ -1,89 +1,89
 """LaTeX Exporter class"""
 
 #-----------------------------------------------------------------------------
 # Copyright (c) 2013, the IPython Development Team.
 #
 # Distributed under the terms of the Modified BSD License.
 #
 # The full license is in the file COPYING.txt, distributed with this software.
 #-----------------------------------------------------------------------------
 
 #-----------------------------------------------------------------------------
 # Imports
 #-----------------------------------------------------------------------------
 
 # Stdlib imports
 import os
 
 # IPython imports
 from IPython.utils.traitlets import Unicode
 from IPython.config import Config
 
 from IPython.nbconvert import filters, preprocessors
 from .templateexporter import TemplateExporter
 
 #-----------------------------------------------------------------------------
 # Classes and functions
 #-----------------------------------------------------------------------------
 
 class LatexExporter(TemplateExporter):
     """
     Exports to a Latex template.  Inherit from this class if your template is
     LaTeX based and you need custom tranformers/filters.  Inherit from it if 
     you are writing your own HTML template and need custom tranformers/filters.  
     If you don't need custom tranformers/filters, just change the 
     'template_file' config option.  Place your template in the special "/latex" 
     subfolder of the "../templates" folder.
     """
 
     def _file_extension_default(self):
         return 'tex'
 
     def _template_file_default(self):
         return 'article'
 
     #Latex constants
     def _default_template_path_default(self):
         return os.path.join("..", "templates", "latex")
 
     def _template_skeleton_path_default(self):
         return os.path.join("..", "templates", "latex", "skeleton")
 
     #Special Jinja2 syntax that will not conflict when exporting latex.
     jinja_comment_block_start = Unicode("((=", config=True)
     jinja_comment_block_end = Unicode("=))", config=True)
     jinja_variable_block_start = Unicode("(((", config=True)
     jinja_variable_block_end = Unicode(")))", config=True)
     jinja_logic_block_start = Unicode("((*", config=True)
     jinja_logic_block_end = Unicode("*))", config=True)
     
     #Extension that the template files use.    
     template_extension = Unicode(".tplx", config=True)
 
     output_mimetype = 'text/latex'
 
 
     @property
     def default_config(self):
         c = Config({
             'NbConvertBase': {
-                'display_data_priority' : ['latex', 'pdf', 'png', 'jpg', 'svg', 'jpeg', 'text']
+                'display_data_priority' : ['latex', 'application/pdf', 'png', 'jpg', 'svg', 'jpeg', 'text']
                 },
              'ExtractOutputPreprocessor': {
                     'enabled':True
                  },
              'SVG2PDFPreprocessor': {
                     'enabled':True
                  },
              'LatexPreprocessor': {
                     'enabled':True
                  },
              'SphinxPreprocessor': {
                     'enabled':True
                  },
              'HighlightMagicsPreprocessor': {
                     'enabled':True
                  }
          })
         c.merge(super(LatexExporter,self).default_config)
         return c

IPython/nbconvert/filters/tests/test_datatypefilter.py

@@ -1,46 +1,46
 """
 Module with tests for DataTypeFilter
 """
 
 #-----------------------------------------------------------------------------
 # Copyright (c) 2013, the IPython Development Team.
 #
 # Distributed under the terms of the Modified BSD License.
 #
 # The full license is in the file COPYING.txt, distributed with this software.
 #-----------------------------------------------------------------------------
 
 #-----------------------------------------------------------------------------
 # Imports
 #-----------------------------------------------------------------------------
 
 
 from ...tests.base import TestsBase
 from ..datatypefilter import DataTypeFilter
 
 
 #-----------------------------------------------------------------------------
 # Class
 #-----------------------------------------------------------------------------
 
 class TestDataTypeFilter(TestsBase):
     """Contains test functions for datatypefilter.py"""
 
 
     def test_constructor(self):
         """Can an instance of a DataTypeFilter be created?"""
         DataTypeFilter()
 
 
     def test_junk_types(self):
         """Can the DataTypeFilter pickout a useful type from a list of junk types?"""
         filter = DataTypeFilter()
         assert "png" in filter(["hair", "water", "png", "rock"])
-        assert "pdf" in filter(["pdf", "hair", "water", "png", "rock"])
+        assert "application/pdf" in filter(["application/pdf", "hair", "water", "png", "rock"])
         self.assertEqual(filter(["hair", "water", "rock"]), [])
 
 
     def test_null(self):
         """Will the DataTypeFilter fail if no types are passed in?"""
         filter = DataTypeFilter()
         self.assertEqual(filter([]), [])

IPython/nbconvert/postprocessors/pdf.py

@@ -1,156 +1,156
 """
 Contains writer for writing nbconvert output to PDF.
 """
 #-----------------------------------------------------------------------------
 #Copyright (c) 2013, the IPython Development Team.
 #
 #Distributed under the terms of the Modified BSD License.
 #
 #The full license is in the file COPYING.txt, distributed with this software.
 #-----------------------------------------------------------------------------
 
 #-----------------------------------------------------------------------------
 # Imports
 #-----------------------------------------------------------------------------
 
 import subprocess
 import os
 import sys
 
 from IPython.utils.traitlets import Integer, List, Bool
 
 from .base import PostProcessorBase
 
 #-----------------------------------------------------------------------------
 # Classes
 #-----------------------------------------------------------------------------
 class PDFPostProcessor(PostProcessorBase):
     """Writer designed to write to PDF files"""
 
     latex_count = Integer(3, config=True, help="""
         How many times pdflatex will be called.
         """)
 
     latex_command = List([u"pdflatex", u"{filename}"], config=True, help="""
         Shell command used to compile PDF.""")
 
     bib_command = List([u"bibtex", u"{filename}"], config=True, help="""
         Shell command used to run bibtex.""")
 
     verbose = Bool(False, config=True, help="""
         Whether or not to display the output of the compile call.
         """)
 
     temp_file_exts = List(['.aux', '.bbl', '.blg', '.idx', '.log', '.out'], 
         config=True, help="""
         Filename extensions of temp files to remove after running.
         """)
     pdf_open = Bool(False, config=True, help="""
         Whether or not to open the pdf after the compile call.
         """)
 
     def run_command(self, command_list, filename, count, log_function):
         """Run command_list count times.
         
         Parameters
         ----------
         command_list : list
             A list of args to provide to Popen. Each element of this
             list will be interpolated with the filename to convert.
         filename : unicode
             The name of the file to convert.
         count : int
             How many times to run the command.
         
         Returns
         -------
         continue : bool
             A boolean indicating if the command was successful (True)
             or failed (False).
         """
         command = [c.format(filename=filename) for c in command_list]
         #In windows and python 2.x there is a bug in subprocess.Popen and
         # unicode commands are not supported
         if sys.platform == 'win32' and sys.version_info < (3,0):
             #We must use cp1252 encoding for calling subprocess.Popen
             #Note that sys.stdin.encoding and encoding.DEFAULT_ENCODING
             # could be different (cp437 in case of dos console)
             command = [c.encode('cp1252') for c in command]        
         times = 'time' if count == 1 else 'times'
         self.log.info("Running %s %i %s: %s", command_list[0], count, times, command)
         with open(os.devnull, 'rb') as null:
             stdout = subprocess.PIPE if not self.verbose else None
             for index in range(count):
                 p = subprocess.Popen(command, stdout=stdout, stdin=null)
                 out, err = p.communicate()
                 if p.returncode:
                     if self.verbose:
                         # verbose means I didn't capture stdout with PIPE,
                         # so it's already been displayed and `out` is None.
                         out = u''
                     else:
                         out = out.decode('utf-8', 'replace')
                     log_function(command, out)
                     return False # failure
         return True # success
 
     def run_latex(self, filename):
         """Run pdflatex self.latex_count times."""
 
         def log_error(command, out):
             self.log.critical(u"%s failed: %s\n%s", command[0], command, out)
 
         return self.run_command(self.latex_command, filename, 
             self.latex_count, log_error)
 
     def run_bib(self, filename):
         """Run bibtex self.latex_count times."""
         filename = os.path.splitext(filename)[0]
 
         def log_error(command, out):
             self.log.warn('%s had problems, most likely because there were no citations',
                 command[0])
             self.log.debug(u"%s output: %s\n%s", command[0], command, out)
 
         return self.run_command(self.bib_command, filename, 1, log_error)
 
     def clean_temp_files(self, filename):
-        """Remove temporary files created by pdflatex/bibtext."""
+        """Remove temporary files created by pdflatex/bibtex."""
         self.log.info("Removing temporary LaTeX files")
         filename = os.path.splitext(filename)[0]
         for ext in self.temp_file_exts:
             try:
                 os.remove(filename+ext)
             except OSError:
                 pass
 
     def open_pdf(self, filename):
         """Open the pdf in the default viewer."""
         if sys.platform.startswith('darwin'):
             subprocess.call(('open', filename))
         elif os.name == 'nt':
             os.startfile(filename)
         elif os.name == 'posix':
             subprocess.call(('xdg-open', filename))
         return
 
     def postprocess(self, filename):
         """Build a PDF by running pdflatex and bibtex"""
         self.log.info("Building PDF")
         cont = self.run_latex(filename)
         if cont:
             cont = self.run_bib(filename)
         else:
             self.clean_temp_files(filename)
             return
         if cont:
             cont = self.run_latex(filename)
         self.clean_temp_files(filename)
         filename = os.path.splitext(filename)[0]
         if os.path.isfile(filename+'.pdf'):
             self.log.info('PDF successfully created')
             if self.pdf_open: 
                 self.log.info('Viewer called')
                 self.open_pdf(filename+'.pdf')
         return
  

IPython/nbconvert/preprocessors/extractoutput.py

@@ -1,103 +1,112
 """Module containing a preprocessor that extracts all of the outputs from the
 notebook file.  The extracted outputs are returned in the 'resources' dictionary.
 """
 #-----------------------------------------------------------------------------
 # Copyright (c) 2013, the IPython Development Team.
 #
 # Distributed under the terms of the Modified BSD License.
 #
 # The full license is in the file COPYING.txt, distributed with this software.
 #-----------------------------------------------------------------------------
 
 #-----------------------------------------------------------------------------
 # Imports
 #-----------------------------------------------------------------------------
 
 import base64
 import sys
 import os
+from mimetypes import guess_extension
 
 from IPython.utils.traitlets import Unicode, Set
 from .base import Preprocessor
 from IPython.utils import py3compat
 
 #-----------------------------------------------------------------------------
 # Classes
 #-----------------------------------------------------------------------------
 
 class ExtractOutputPreprocessor(Preprocessor):
     """
     Extracts all of the outputs from the notebook file.  The extracted 
     outputs are returned in the 'resources' dictionary.
     """
 
     output_filename_template = Unicode(
-        "{unique_key}_{cell_index}_{index}.{extension}", config=True)
+        "{unique_key}_{cell_index}_{index}{extension}", config=True)
 
-    extract_output_types = Set({'png', 'jpg', 'svg', 'pdf'}, config=True)
+    extract_output_types = Set({'png', 'jpg', 'svg', 'application/pdf'}, config=True)
 
     def preprocess_cell(self, cell, resources, cell_index):
         """
         Apply a transformation on each cell,
         
         Parameters
         ----------
         cell : NotebookNode cell
             Notebook cell being processed
         resources : dictionary
             Additional resources used in the conversion process.  Allows
             preprocessors to pass variables into the Jinja engine.
         cell_index : int
             Index of the cell being processed (see base.py)
         """
 
         #Get the unique key from the resource dict if it exists.  If it does not 
         #exist, use 'output' as the default.  Also, get files directory if it
         #has been specified
         unique_key = resources.get('unique_key', 'output')
         output_files_dir = resources.get('output_files_dir', None)
         
         #Make sure outputs key exists
         if not isinstance(resources['outputs'], dict):
             resources['outputs'] = {}
             
         #Loop through all of the outputs in the cell
         for index, out in enumerate(cell.get('outputs', [])):
 
             #Get the output in data formats that the template needs extracted
             for out_type in self.extract_output_types:
-                if out.hasattr(out_type): 
+                if out_type in out:
                     data = out[out_type]
 
                     #Binary files are base64-encoded, SVG is already XML
-                    if out_type in ('png', 'jpg', 'jpeg', 'pdf'):
+                    if out_type in {'png', 'jpg', 'application/pdf'}:
 
                         # data is b64-encoded as text (str, unicode)
                         # decodestring only accepts bytes
                         data = py3compat.cast_bytes(data)
                         data = base64.decodestring(data)
                     elif sys.platform == 'win32':
                         data = data.replace('\n', '\r\n').encode("UTF-8")
                     else:
                         data = data.encode("UTF-8")
                     
-                    #Build an output name
-                    filename = self.output_filename_template.format( 
+                    # Build an output name
+                    # filthy hack while we have some mimetype output, and some not
+                    if '/' in out_type:
+                        ext = guess_extension(out_type)
+                        if ext is None:
+                            ext = '.' + out_type.rsplit('/')[-1]
+                    else:
+                        ext = '.' + out_type
+                    
+                    filename = self.output_filename_template.format(
                                     unique_key=unique_key,
                                     cell_index=cell_index,
                                     index=index,
-                                    extension=out_type)
+                                    extension=ext)
 
                     #On the cell, make the figure available via 
                     #   cell.outputs[i].svg_filename  ... etc (svg in example)
                     # Where
                     #   cell.outputs[i].svg  contains the data
                     if output_files_dir is not None:
                         filename = os.path.join(output_files_dir, filename)
                     out[out_type + '_filename'] = filename
 
                     #In the resources, make the figure available via
                     #   resources['outputs']['filename'] = data
                     resources['outputs'][filename] = data
 
         return cell, resources

IPython/nbconvert/preprocessors/svg2pdf.py

@@ -1,95 +1,97
 """Module containing a preprocessor that converts outputs in the notebook from 
 one format to another.
 """
 #-----------------------------------------------------------------------------
 # Copyright (c) 2013, the IPython Development Team.
 #
 # Distributed under the terms of the Modified BSD License.
 #
 # The full license is in the file COPYING.txt, distributed with this software.
 #-----------------------------------------------------------------------------
 
 #-----------------------------------------------------------------------------
 # Imports
 #-----------------------------------------------------------------------------
 
 import base64
 import io
 import os
 import sys
 import subprocess
 
 from IPython.utils.tempdir import TemporaryDirectory
 from IPython.utils.traitlets import Unicode
 
 from .convertfigures import ConvertFiguresPreprocessor
 
 
 #-----------------------------------------------------------------------------
 # Constants
 #-----------------------------------------------------------------------------
 
 INKSCAPE_APP = '/Applications/Inkscape.app/Contents/Resources/bin/inkscape'
 
 #-----------------------------------------------------------------------------
 # Classes
 #-----------------------------------------------------------------------------
 
 class SVG2PDFPreprocessor(ConvertFiguresPreprocessor):
     """
     Converts all of the outputs in a notebook from SVG to PDF.
     """
-
-    from_format = Unicode('svg', config=True, help='Format the converter accepts')
-    to_format = Unicode('pdf', config=False, help='Format the converter writes')
+    
+    def _from_format_default(self):
+        return 'svg'
+    def _to_format_default(self):
+        return 'application/pdf'
     
     command = Unicode(config=True,
         help="""The command to use for converting SVG to PDF
         
         This string is a template, which will be formatted with the keys
         to_filename and from_filename.
         
         The conversion call must read the SVG from {from_flename},
         and write a PDF to {to_filename}.
         """)
     
     def _command_default(self):
         return self.inkscape + \
                ' --without-gui --export-pdf="{to_filename}" "{from_filename}"'
     
     inkscape = Unicode(config=True, help="The path to Inkscape, if necessary")
     def _inkscape_default(self):
         if sys.platform == "darwin":
             if os.path.isfile(INKSCAPE_APP):
                 return INKSCAPE_APP
         return "inkscape"
 
 
     def convert_figure(self, data_format, data):
         """
         Convert a single SVG figure to PDF.  Returns converted data.
         """
 
         #Work in a temporary directory
         with TemporaryDirectory() as tmpdir:
             
             #Write fig to temp file
             input_filename = os.path.join(tmpdir, 'figure.' + data_format)
             # SVG data is unicode text
             with io.open(input_filename, 'w', encoding='utf8') as f:
                 f.write(data)
 
             #Call conversion application
             output_filename = os.path.join(tmpdir, 'figure.pdf')
             shell = self.command.format(from_filename=input_filename, 
                                    to_filename=output_filename)
             subprocess.call(shell, shell=True) #Shell=True okay since input is trusted.
 
             #Read output from drive
             # return value expects a filename
             if os.path.isfile(output_filename):
                 with open(output_filename, 'rb') as f:
                     # PDF is a nb supported binary, data type, so base64 encode.
                     return base64.encodestring(f.read())
             else:
                 raise TypeError("Inkscape svg to pdf conversion failed")

IPython/nbconvert/preprocessors/tests/base.py

@@ -1,53 +1,56
 """
 Module with utility functions for preprocessor tests
 """
 
 #-----------------------------------------------------------------------------
 # Copyright (c) 2013, the IPython Development Team.
 #
 # Distributed under the terms of the Modified BSD License.
 #
 # The full license is in the file COPYING.txt, distributed with this software.
 #-----------------------------------------------------------------------------
 
 #-----------------------------------------------------------------------------
 # Imports
 #-----------------------------------------------------------------------------
 
 from IPython.nbformat import current as nbformat
 
 from ...tests.base import TestsBase
 from ...exporters.exporter import ResourcesDict
 
 #-----------------------------------------------------------------------------
 # Class
 #-----------------------------------------------------------------------------
 
 class PreprocessorTestsBase(TestsBase):
     """Contains test functions preprocessor tests"""
 
 
     def build_notebook(self):
         """Build a notebook in memory for use with preprocessor tests"""
 
         outputs = [nbformat.new_output(output_type="stream", stream="stdout", output_text="a"),
                    nbformat.new_output(output_type="text", output_text="b"),
                    nbformat.new_output(output_type="stream", stream="stdout", output_text="c"),
                    nbformat.new_output(output_type="stream", stream="stdout", output_text="d"),
                    nbformat.new_output(output_type="stream", stream="stderr", output_text="e"),
                    nbformat.new_output(output_type="stream", stream="stderr", output_text="f"),
-                   nbformat.new_output(output_type="png", output_png='Zw==')] #g
+                   nbformat.new_output(output_type="png", output_png='Zw==')] # g
+        out = nbformat.new_output(output_type="application/pdf")
+        out['application/pdf'] = 'aA==' # h
+        outputs.append(out)
         
         cells=[nbformat.new_code_cell(input="$ e $", prompt_number=1,outputs=outputs),
                nbformat.new_text_cell('markdown', source="$ e $")]
-        worksheets = [nbformat.new_worksheet(name="worksheet1", cells=cells)]
+        worksheets = [nbformat.new_worksheet(cells=cells)]
 
         return nbformat.new_notebook(name="notebook1", worksheets=worksheets)
 
 
     def build_resources(self):
         """Build an empty resources dictionary."""
         
         res = ResourcesDict()
         res['metadata'] = ResourcesDict()
         return res

IPython/nbconvert/preprocessors/tests/test_extractoutput.py

@@ -1,65 +1,74
 """
 Module with tests for the extractoutput preprocessor
 """
 
 #-----------------------------------------------------------------------------
 # Copyright (c) 2013, the IPython Development Team.
 #
 # Distributed under the terms of the Modified BSD License.
 #
 # The full license is in the file COPYING.txt, distributed with this software.
 #-----------------------------------------------------------------------------
 
 #-----------------------------------------------------------------------------
 # Imports
 #-----------------------------------------------------------------------------
 
 from .base import PreprocessorTestsBase
 from ..extractoutput import ExtractOutputPreprocessor
 
 
 #-----------------------------------------------------------------------------
 # Class
 #-----------------------------------------------------------------------------
 
 class TestExtractOutput(PreprocessorTestsBase):
     """Contains test functions for extractoutput.py"""
 
 
     def build_preprocessor(self):
         """Make an instance of a preprocessor"""
         preprocessor = ExtractOutputPreprocessor()
-        preprocessor.extract_output_types = {'text', 'png'}
+        preprocessor.extract_output_types = {'text', 'png', 'application/pdf'}
         preprocessor.enabled = True
         return preprocessor
 
 
     def test_constructor(self):
         """Can a ExtractOutputPreprocessor be constructed?"""
         self.build_preprocessor()
     
 
     def test_output(self):
         """Test the output of the ExtractOutputPreprocessor"""
         nb = self.build_notebook()
         res = self.build_resources()
         preprocessor = self.build_preprocessor()
         nb, res = preprocessor(nb, res)
 
         # Check if text was extracted.
         output = nb.worksheets[0].cells[0].outputs[1]
         assert 'text_filename' in output
         text_filename = output['text_filename']
 
         # Check if png was extracted.
         output = nb.worksheets[0].cells[0].outputs[6]
         assert 'png_filename' in output
         png_filename = output['png_filename']
+        
+        # Check that pdf was extracted
+        output = nb.worksheets[0].cells[0].outputs[7]
+        assert 'application/pdf_filename' in output
+        pdf_filename = output['application/pdf_filename']
 
         # Verify text output
         assert text_filename in res['outputs']
         self.assertEqual(res['outputs'][text_filename], b'b')
 
         # Verify png output
         assert png_filename in res['outputs']
         self.assertEqual(res['outputs'][png_filename], b'g')
+
+        # Verify pdf output
+        assert pdf_filename in res['outputs']
+        self.assertEqual(res['outputs'][pdf_filename], b'h')

IPython/nbconvert/templates/latex/base.tplx

@@ -1,223 +1,223
 ((= Latex base template (must inherit)
 This template builds upon the abstract template, adding common latex output
 functions.  Figures, data_text,
 This template does not define a docclass, the inheriting class must define this.=))
 
 ((*- extends 'display_priority.tplx' -*))
 
 %===============================================================================
 % Abstract overrides
 %===============================================================================
 
 ((* block header *))
     ((* block docclass *))((* endblock docclass *))
     
     ((* block packages *))
     \usepackage{graphicx} % Used to insert images
     \usepackage{adjustbox} % Used to constrain images to a maximum size 
     \usepackage{color} % Allow colors to be defined
     \usepackage{enumerate} % Needed for markdown enumerations to work
     \usepackage{geometry} % Used to adjust the document margins
     \usepackage{amsmath} % Equations
     \usepackage{amssymb} % Equations
     \usepackage[mathletters]{ucs} % Extended unicode (utf-8) support
     \usepackage[utf8x]{inputenc} % Allow utf-8 characters in the tex document
     \usepackage{fancyvrb} % verbatim replacement that allows latex
     \usepackage{grffile} % extends the file name processing of package graphics 
                          % to support a larger range 
     % The hyperref package gives us a pdf with properly built
     % internal navigation ('pdf bookmarks' for the table of contents,
     % internal cross-reference links, web links for URLs, etc.)
     \usepackage{hyperref}
     \usepackage{longtable} % longtable support required by pandoc >1.10
     ((* endblock packages *))
 
     ((* block definitions *))
     \definecolor{orange}{cmyk}{0,0.4,0.8,0.2}
     \definecolor{darkorange}{rgb}{.71,0.21,0.01}
     \definecolor{darkgreen}{rgb}{.12,.54,.11}
     \definecolor{myteal}{rgb}{.26, .44, .56}
     \definecolor{gray}{gray}{0.45}
     \definecolor{lightgray}{gray}{.95}
     \definecolor{mediumgray}{gray}{.8}
     \definecolor{inputbackground}{rgb}{.95, .95, .85}
     \definecolor{outputbackground}{rgb}{.95, .95, .95}
     \definecolor{traceback}{rgb}{1, .95, .95}
     % ansi colors
     \definecolor{red}{rgb}{.6,0,0}
     \definecolor{green}{rgb}{0,.65,0}
     \definecolor{brown}{rgb}{0.6,0.6,0}
     \definecolor{blue}{rgb}{0,.145,.698}
     \definecolor{purple}{rgb}{.698,.145,.698}
     \definecolor{cyan}{rgb}{0,.698,.698}
     \definecolor{lightgray}{gray}{0.5}
     
     % bright ansi colors
     \definecolor{darkgray}{gray}{0.25}
     \definecolor{lightred}{rgb}{1.0,0.39,0.28}
     \definecolor{lightgreen}{rgb}{0.48,0.99,0.0}
     \definecolor{lightblue}{rgb}{0.53,0.81,0.92}
     \definecolor{lightpurple}{rgb}{0.87,0.63,0.87}
     \definecolor{lightcyan}{rgb}{0.5,1.0,0.83}
     
     % commands and environments needed by pandoc snippets
     % extracted from the output of `pandoc -s`
     
     \DefineShortVerb[commandchars=\\\{\}]{\|}
     \DefineVerbatimEnvironment{Highlighting}{Verbatim}{commandchars=\\\{\}}
     % Add ',fontsize=\small' for more characters per line
     \newenvironment{Shaded}{}{}
     \newcommand{\KeywordTok}[1]{\textcolor[rgb]{0.00,0.44,0.13}{\textbf{{#1}}}}
     \newcommand{\DataTypeTok}[1]{\textcolor[rgb]{0.56,0.13,0.00}{{#1}}}
     \newcommand{\DecValTok}[1]{\textcolor[rgb]{0.25,0.63,0.44}{{#1}}}
     \newcommand{\BaseNTok}[1]{\textcolor[rgb]{0.25,0.63,0.44}{{#1}}}
     \newcommand{\FloatTok}[1]{\textcolor[rgb]{0.25,0.63,0.44}{{#1}}}
     \newcommand{\CharTok}[1]{\textcolor[rgb]{0.25,0.44,0.63}{{#1}}}
     \newcommand{\StringTok}[1]{\textcolor[rgb]{0.25,0.44,0.63}{{#1}}}
     \newcommand{\CommentTok}[1]{\textcolor[rgb]{0.38,0.63,0.69}{\textit{{#1}}}}
     \newcommand{\OtherTok}[1]{\textcolor[rgb]{0.00,0.44,0.13}{{#1}}}
     \newcommand{\AlertTok}[1]{\textcolor[rgb]{1.00,0.00,0.00}{\textbf{{#1}}}}
     \newcommand{\FunctionTok}[1]{\textcolor[rgb]{0.02,0.16,0.49}{{#1}}}
     \newcommand{\RegionMarkerTok}[1]{{#1}}
     \newcommand{\ErrorTok}[1]{\textcolor[rgb]{1.00,0.00,0.00}{\textbf{{#1}}}}
     \newcommand{\NormalTok}[1]{{#1}}
     
     % Define a nice break command that doesn't care if a line doesn't already
     % exist.
     \def\br{\hspace*{\fill} \\* }
     % Math Jax compatability definitions
     \def\gt{>}
     \def\lt{<}
     % Document parameters
     ((* block title *))\title{((( resources.metadata.name | escape_latex )))}((* endblock title *))
     ((* block date *))((* endblock date *))
     ((* block author *))((* endblock author *))
     ((* endblock definitions *))
 
     ((* block commands *))
     % Prevent overflowing lines due to hard-to-break entities
     \sloppy 
     % Setup hyperref package
     \hypersetup{
       breaklinks=true,  % so long urls are correctly broken across lines
       colorlinks=true,
       urlcolor=blue,
       linkcolor=darkorange,
       citecolor=darkgreen,
       }
     % Slightly bigger margins than the latex defaults
     ((* block margins *))
     \geometry{verbose,tmargin=1in,bmargin=1in,lmargin=1in,rmargin=1in}
     ((* endblock margins *))
     ((* endblock commands *))
 ((* endblock header *))
 
 ((* block body *))
     \begin{document}
     
     ((* block predoc *))
     ((* block maketitle *))\maketitle((* endblock maketitle *))
     ((* block abstract *))((* endblock abstract *))
     ((* endblock predoc *))
 
     ((( super() )))
 
     % Add a bibliography block to the postdoc
     ((* block postdoc *))
     ((* block bibliography *))((* endblock bibliography *))
     ((* endblock postdoc *))
     \end{document}
 ((* endblock body *))
 
 %===============================================================================
 % Support blocks
 %===============================================================================
 
 % Displaying simple data text
 ((* block data_text *))
     \begin{verbatim}
 ((( output.text )))
     \end{verbatim}
 ((* endblock data_text *))
 
 % Display python error text as-is
 ((* block pyerr *))
     \begin{Verbatim}[commandchars=\\\{\}]
 ((( super() )))
     \end{Verbatim}
 ((* endblock pyerr *))
 ((* block traceback_line *))
     ((( line | indent | strip_ansi | escape_latex )))
 ((* endblock traceback_line *))
 
 % Display stream ouput with coloring
 ((* block stream *))
     \begin{Verbatim}[commandchars=\\\{\}]
 ((( output.text | escape_latex | ansi2latex )))
     \end{Verbatim}
 ((* endblock stream *))
 
 % Display latex
 ((* block data_latex -*))
     ((*- if output.latex.startswith('$'): -*)) 
         ((= Replace $ symbols with more explicit, equation block. =))
         \begin{equation*}
         ((( output.latex | strip_dollars )))
         \end{equation*}
     ((*- else -*))
         ((( output.latex )))
     ((*- endif *))
 ((* endblock data_latex *))
 
 % Default mechanism for rendering figures
 ((*- block data_png -*))((( draw_figure(output.png_filename) )))((*- endblock -*))
 ((*- block data_jpg -*))((( draw_figure(output.jpeg_filename) )))((*- endblock -*))
 ((*- block data_svg -*))((( draw_figure(output.svg_filename) )))((*- endblock -*))
-((*- block data_pdf -*))((( draw_figure(output.pdf_filename) )))((*- endblock -*))
+((*- block data_pdf -*))((( draw_figure(output['application/pdf_filename']) )))((*- endblock -*))
 
 % Draw a figure using the graphicx package.
 ((* macro draw_figure(filename) -*))
 ((* set filename = filename | posix_path *))
 ((*- block figure scoped -*))
     \begin{center}
     \adjustimage{max size={0.9\linewidth}{0.9\paperheight}}{((( filename )))}
     \end{center}
     { \hspace*{\fill} \\}
 ((*- endblock figure -*))
 ((*- endmacro *))
 
 % Draw heading cell.  Explicitly map different cell levels.
 ((* block headingcell scoped *))
 
     ((* if cell.level == 1 -*))
         ((* block h1 -*))\section((* endblock h1 -*))
     ((* elif cell.level == 2 -*))
         ((* block h2 -*))\subsection((* endblock h2 -*))
     ((* elif cell.level == 3 -*))
         ((* block h3 -*))\subsubsection((* endblock h3 -*))
     ((* elif cell.level == 4 -*))
         ((* block h4 -*))\paragraph((* endblock h4 -*))
     ((* elif cell.level == 5 -*))
         ((* block h5 -*))\subparagraph((* endblock h5 -*))
     ((* elif cell.level == 6 -*))
         ((* block h6 -*))\\*\textit((* endblock h6 -*))
     ((*- endif -*))
     {((( cell.source | replace('\n', ' ') | citation2latex | strip_files_prefix | markdown2latex )))}
 
 ((* endblock headingcell *))
 
 % Redirect pyout to display data priority.
 ((* block pyout scoped *))
     ((* block data_priority scoped *))
     ((( super() )))
     ((* endblock *))
 ((* endblock pyout *))
 
 % Render markdown
 ((* block markdowncell scoped *))
     ((( cell.source | citation2latex | strip_files_prefix | markdown2latex )))
 ((* endblock markdowncell *))
 
 % Don't display unknown types
 ((* block unknowncell scoped *))
 ((* endblock unknowncell *))

IPython/nbconvert/templates/latex/skeleton/display_priority.tplx

@@ -1,45 +1,45
 ((= Auto-generated template file, DO NOT edit directly!
     To edit this file, please refer to ../../skeleton/README.md =))
 
 
 ((*- extends 'null.tplx' -*))
 
 ((=display data priority=))
 
 
 ((*- block data_priority scoped -*))
     ((*- for type in output | filter_data_type -*))
-        ((*- if type in ['pdf']*))
+        ((*- if type in ['application/pdf']*))
             ((*- block data_pdf -*))
             ((*- endblock -*))
         ((*- endif -*))
         ((*- if type in ['svg']*))
             ((*- block data_svg -*))
             ((*- endblock -*))
         ((*- endif -*))
         ((*- if type in ['png']*))
             ((*- block data_png -*))
             ((*- endblock -*))
         ((*- endif -*))
         ((*- if type in ['html']*))
             ((*- block data_html -*))
             ((*- endblock -*))
         ((*- endif -*))
         ((*- if type in ['jpeg']*))
             ((*- block data_jpg -*))
             ((*- endblock -*))
         ((*- endif -*))
         ((*- if type in ['text']*))
             ((*- block data_text -*))
             ((*- endblock -*))
         ((*- endif -*))
         ((*- if type in ['latex']*))
             ((*- block data_latex -*))
             ((*- endblock -*))
         ((*- endif -*))
         ((*- if type in ['javascript']*))
             ((*- block data_javascript -*))
             ((*- endblock -*))
         ((*- endif -*))
     ((*- endfor -*))
 ((*- endblock data_priority -*))

IPython/nbconvert/templates/skeleton/display_priority.tpl

@@ -1,41 +1,41
 {%- extends 'null.tpl' -%}
 
 {#display data priority#}
 
 
 {%- block data_priority scoped -%}
     {%- for type in output | filter_data_type -%}
-        {%- if type in ['pdf']%}
+        {%- if type in ['application/pdf']%}
             {%- block data_pdf -%}
             {%- endblock -%}
         {%- endif -%}
         {%- if type in ['svg']%}
             {%- block data_svg -%}
             {%- endblock -%}
         {%- endif -%}
         {%- if type in ['png']%}
             {%- block data_png -%}
             {%- endblock -%}
         {%- endif -%}
         {%- if type in ['html']%}
             {%- block data_html -%}
             {%- endblock -%}
         {%- endif -%}
         {%- if type in ['jpeg']%}
             {%- block data_jpg -%}
             {%- endblock -%}
         {%- endif -%}
         {%- if type in ['text']%}
             {%- block data_text -%}
             {%- endblock -%}
         {%- endif -%}
         {%- if type in ['latex']%}
             {%- block data_latex -%}
             {%- endblock -%}
         {%- endif -%}
         {%- if type in ['javascript']%}
             {%- block data_javascript -%}
             {%- endblock -%}
         {%- endif -%}
     {%- endfor -%}
 {%- endblock data_priority -%}

IPython/nbconvert/tests/files/notebook2.ipynb

@@ -1,188 +1,224
 {
  "metadata": {
-  "name": ""
+  "name": "",
+  "signature": "sha256:9fffd84e69e3d9b8aee7b4cde2099ca5d4158a45391698b191f94fabaf394b41"
  },
  "nbformat": 3,
  "nbformat_minor": 0,
  "worksheets": [
   {
    "cells": [
     {
      "cell_type": "heading",
      "level": 1,
      "metadata": {},
      "source": [
       "NumPy and Matplotlib examples"
      ]
     },
     {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
       "First import NumPy and Matplotlib:"
      ]
     },
     {
      "cell_type": "code",
      "collapsed": false,
      "input": [
-      "%pylab inline"
+      "%matplotlib inline\n",
+      "import matplotlib\n",
+      "import matplotlib.pyplot as plt\n",
+      "print(matplotlib.backends.backend)"
      ],
      "language": "python",
      "metadata": {},
      "outputs": [
       {
        "output_type": "stream",
        "stream": "stdout",
        "text": [
-        "\n",
-        "Welcome to pylab, a matplotlib-based Python environment [backend: module://IPython.kernel.zmq.pylab.backend_inline].\n",
-        "For more information, type 'help(pylab)'.\n"
+        "module://IPython.kernel.zmq.pylab.backend_inline\n"
        ]
       }
      ],
      "prompt_number": 1
     },
     {
      "cell_type": "code",
      "collapsed": false,
      "input": [
-      "import numpy as np"
+      "from IPython.display import set_matplotlib_formats\n",
+      "set_matplotlib_formats('png', 'pdf')\n",
+      "matplotlib.rcParams['figure.figsize'] = (2,1)"
      ],
      "language": "python",
      "metadata": {},
      "outputs": [],
      "prompt_number": 2
     },
     {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "ip.display_formatter.formatters['application/pdf'].type_printers"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 3,
+       "text": [
+        "{matplotlib.figure.Figure: <function IPython.core.pylabtools.<lambda>>}"
+       ]
+      }
+     ],
+     "prompt_number": 3
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "import numpy as np"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 4
+    },
+    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
       "Now we show some very basic examples of how they can be used."
      ]
     },
     {
      "cell_type": "code",
      "collapsed": false,
      "input": [
       "a = np.random.uniform(size=(100,100))"
      ],
      "language": "python",
      "metadata": {},
      "outputs": [],
-     "prompt_number": 6
+     "prompt_number": 5
     },
     {
      "cell_type": "code",
      "collapsed": false,
      "input": [
       "a.shape"
      ],
      "language": "python",
      "metadata": {},
      "outputs": [
       {
        "metadata": {},
        "output_type": "pyout",
-       "prompt_number": 7,
+       "prompt_number": 6,
        "text": [
         "(100, 100)"
        ]
       }
      ],
-     "prompt_number": 7
+     "prompt_number": 6
     },
     {
      "cell_type": "code",
      "collapsed": false,
      "input": [
       "evs = np.linalg.eigvals(a)"
      ],
      "language": "python",
      "metadata": {},
      "outputs": [],
-     "prompt_number": 8
+     "prompt_number": 7
     },
     {
      "cell_type": "code",
      "collapsed": false,
      "input": [
       "evs.shape"
      ],
      "language": "python",
      "metadata": {},
      "outputs": [
       {
        "metadata": {},
        "output_type": "pyout",
-       "prompt_number": 10,
+       "prompt_number": 8,
        "text": [
         "(100,)"
        ]
       }
      ],
-     "prompt_number": 10
+     "prompt_number": 8
     },
     {
      "cell_type": "heading",
      "level": 2,
      "metadata": {},
      "source": [
       "Here is a very long heading that pandoc will wrap and wrap and wrap and wrap and wrap and wrap and wrap and wrap and wrap and wrap and wrap and wrap"
      ]
     },
     {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
       "Here is a cell that has both text and PNG output:"
      ]
     },
     {
      "cell_type": "code",
      "collapsed": false,
      "input": [
-      "hist(evs.real)"
+      "plt.hist(evs.real)"
      ],
      "language": "python",
      "metadata": {},
      "outputs": [
       {
        "metadata": {},
        "output_type": "pyout",
-       "prompt_number": 14,
+       "prompt_number": 9,
        "text": [
-        "(array([95,  4,  0,  0,  0,  0,  0,  0,  0,  1]),\n",
-        " array([ -2.93566063,   2.35937011,   7.65440086,  12.9494316 ,\n",
-        "        18.24446235,  23.53949309,  28.83452384,  34.12955458,\n",
-        "        39.42458533,  44.71961607,  50.01464682]),\n",
+        "(array([97,  2,  0,  0,  0,  0,  0,  0,  0,  1]),\n",
+        " array([ -2.59479443,   2.67371141,   7.94221725,  13.21072308,\n",
+        "         18.47922892,  23.74773476,  29.0162406 ,  34.28474644,\n",
+        "         39.55325228,  44.82175812,  50.09026395]),\n",
         " <a list of 10 Patch objects>)"
        ]
       },
       {
+       "application/pdf": 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24ggOTv0ZOChW5CQOhp6pCtFoxOMinJW2MJfLS4uXTxQUDrF0LF4pFEq1kizJ\nEpPrpKycqqWP4FCO54CDXTyCAyKbGHAIh4vH4oAOsymYSHkRQDyShWU/gkMslM2GyqGswoGjqYbg\njEoWMnsUXS+Fww3goCy03J0sIkBPoD0rmzBR1Qo1EpaKrWM5aa6ZGh+Fgw6O5/OJZDyVjxGMZDwL\nAAJhiQG4oNhAU6xwAB9QcAkmpBSzpd2Qpaa4IAPN9+FAy2k495yldCclJA6IJLIxI5ytCdHVRRxk\nOAQRKagBJIt5uZ4OcxOHLpTrZVlS5RSDOlk5Xc/INAfN6YlKIpfIZu1SIq1wQGoCx6kn9XC4lARe\nET0LSVZhHjokDkaCsXogndIlDknd2dOK6TAFFdTPqggylarpqWS5bJkROlFdL4fDXZAZ5Q0lDiWk\nRclwMmnlkib8lqV3JS0V08XyMrxkaqwfXehyUSFdgNlM51PSJwcUG+gFJBtoAvJ5hw8ouCQTOGs1\nMlW7rrigMg7Zr0o8nOlAYZ36M3BQrMgDhxxwyNWFaDYTCReHfL4gPU8hVSqoPUwIJXSh0qjIkqqk\nO91nGhkVNxGHaiKfyGXtciITUV/9wLXqcT0FHMop1IvqOUiyCi/QYS4NHGBkUqlAJq0jEjTNlG4q\nBsV1iGAV9eVaCkdT19OpSgU4wInixUo43ET3ykLLTbAyAvRUmPFaysykKpbeTFlqbEhyGNbQYBwN\nAyZcLDJSVzikpU+WONAYFRQbaAIKBZcPCShlCUzAg5RTFA4NxQUV6cr7KvFwpgMcnJk4WxrEQb3P\nFCwXN8O5hhDd3cDBkGFptlAoSotXTJUdHBA4QBeqXVVZ0tUMG5SVM11ZOSL6zmQ1WUgivSgnj8XB\nMN6HAzrMZbgvp3DI/Kc4cDQNHc6oGrEYv2fC4aphdEscKFFy80XigMlG8ikLVSN6dyry/4hDhmYz\nU8goHAyJAbig2EAT4OAgAyhcggkZxWwCpaL5LsWF/wIH3HJWyuVafgeHfNw08l1C9PQkk8KQYSn0\nsSQHUEqXixKHBBxWo1yuNWuypGsZqS4s2aZadJI41IBDPherJLMuDkloiZ4GDpU08LL1PCyKCvPQ\nYT7DfTmGisFsRs8nEqaZdnFI6Pm8XkP9fNqJIrv0TLpWkzhkFQ49kBlloSUOFQToaSOdjhTSVjZd\ni+g96YgaW6JI/qVpMI7BIZ8vlVAhWwIO2WJW+uSgYgO9QAeHYtHlAwI3cKJWw4O0U1TtpuKCDPiz\n8r5KPJzpwHA6M3G2loiDer8IY1ZImEahKURv7xEcYP+k5ymnKyW1p4/+uyqVWrfCIVPLskGFQ3dO\njgiwhlP1VDFVKMarqWxUfeQGHMKJcDpsGFWJQ7gAi6I6R4f57BEcsmHggIGFI2qLNwEWhevhfLrg\nzqgZzioceBEO1wyjF90rbyhxqIYVDlEHh3BvB4dSB4fwzKKHC4VyOZ1JZstwXxKHgoNDUXoByQaa\n4lLJ5QMCN3CiVssqZhMohUO34sL7cHCmA8Pp3HsfDiXgUExEjEK3EH19qZQwZFgKEXFwyFTLak8/\nn0zBJtV76rJk61kGdrJyrgexdVYqYjjVSJWIQy2Vi6qvEUMpOM5wBjjUMsALOECSVZiHDgvEAcY+\nkwnmsuECPKyVCUcVi5LhQj7cQP1Cxokiu8PZTL0ejdgMZgyjbhh9kBnlKeVmZA04ZAzEzcVMJJep\nR8N9maiKrZFsMrzkUtEH4IAKOeKQK+VkbBQkG+gUHBxoistlhw8ouCQTOGs1MhXN9yguyIA/J/tV\nCaAzHeDg1Hd2LOSeilK4JHGIGsUeIfr70ylhyrA0Xy5XpOepZGouDvCrtVqjtyFLtpFjg6pyr8IB\nsIbTXelyulhK1NN5W1cfrDg4mGadi7WxcLGDQ39/qpCDq5IXwXzu/TgUw13AoejOqCeMoKABHOBE\ngUPDNPshMyoqkTjUkShl0J5dykTymUY03H8MDjTcR+EQBscrlUw2laukCEYuXSgCB1NiAC4oNtAE\nuDjIwA2caDRyitnEQUXzvYoLKuOQ/Ur/eQQHy5mJs9U6E4d4vJSMmqVeIQYG0mlhyrAUIlKVnqea\nrVUkDqlCKg2b1NXXJUuuK0+ZlJXzfVyElYoYTjeBQ+koHNLQknCWOGTxTixcgkVR4TY6LOa5T82Q\nPQgjBH8ZiWRdHFJhmORmuJgtZdV6Tr43nM92ddkR5lF5w+gyzQGIgfKUHRyyJuLmcjaCqnZ4IGur\nhChVIf+yXCqS3O/AYJRKtDDpfBU45Cs5GRsFFRvojSUbiEOl4vBB4QAmyCRb5Rmqdp/igky85KOs\nSsSd6QAH594MHBQrKql4vAwcyn1CDA5mXBwgIjU1gGy9KvdbU0X41Xq92d+UJdc8gkOhvyhxAKxG\nppmpZJDmNTIF2/m0J40AxsgaptnIFrLZuFGCKVKdDw4qHORFsJA3FA7q0wpM2SiWjKYxA4c+I59t\nNu0ocEBto2mag4gnVVTCN6INJEoODlHED7Yx2MGhKnGg4TaOLhIHqEEN7qtQyWfKUASJQ0V6AckG\nmuJq1eUDAmhwotl8Hw79igsq85P9Sv+ZdaZjGC4Ozlars2RIwwenUk4Bh34hhoYyGWHJ9KBYrdak\n56nlGgqHdDGdgU3q7u+WJd9dYICtKvcXZdovcejOVBFdJLsyxZjzMVsGjtPIGZbVxUXzuFGGRVHh\nNjqsFPi9QA5zCRULiKjSkUjOcBBMGxDBbqMCY6HW1Qp9RiHX3Q0c4EQLptm0rCHIjPKUcnO+Czjk\nLMTNlVy0mOu2jaGcrXKcdJX8y3HJ7hgcyuV6HRUUDtW8jI1CZAOdQk2xgaZY4ZCWOOASTJBJtsoz\nVFbVr7ggAyC1QSD9Z86ZDhTWmckMHBQrqulEopKyrQpwmDUrCxxkelCCH5IDqOe7agqHUjoDm9Q9\n0MFBmi2W4oBaDAesRrYnW81Wyslm9mgc8sChmQdecaMCSVbh9qxZEocIjH0+38EhPwOHqtGD+pW8\nE833G4V8d3fMjjOYMc1uy5oFMVBRicShiYQ1b+XzsWo+Wsx3x4xZ+ZjKcdI1GebTcB+DQ6VSr6NC\nsY4wolgryNgopNhAbyzZQFNcqzl8QMGlwiHvFFV7QHFB4SDvq0T8CA7OTJwtb+Kg3ufSUDVtW9UB\nIYaHs1kHB0THDRkBNPLNusQhg8ABNqlnsEeWQk+RDSrQBstyRBKH3mwNM0l1Z0suDlloicShm5sX\niRk4oMNqsYNDqWggM8LAXBwyRrVq9BpVhQNHM2AU8z09wAHBDHDosaxhxJPKU8rP7rqP4GCX8j0x\nY9jBAXGWdJvvx8GsVBoNVCg2EEYQhyoUQeJQk95YsoGmuF53+YAAGpzo6SkqZhMohcOg4oJMvJRs\nyjgm70zHwQGvyQVZtfetWFHPODgMCjEykgMOMj2AqnbJAXQVmg35HQj7H2g2e4d6ZSn2FimTsnJp\nCDlOUeqomevL1XNV4JArxdWX68DBzJgFEzgUSgXkKlVYFBVuj4woHGDsCwXgYEocCurTFEzZrNbM\nPtSvFpxoftAsFnp7FQ4l0+y1rBGIgYqlFA5mMlmwCoV4rWCXCr0xc6QQUzlOpiHDfDwuyFG5n2oa\nZrXa1YUKpS6EEaV6KUeGhsgGOoWurg4OjYbLB4kDmcBZq5GprGpIcUHh4OSBPHGmY5oRp/4MHBQr\nGsChlrGt2pAQs2fnciIi0wOISJeMxLoK3QqHLAK4we7uvll9shT7SmxQVi7PqhzBoT/XyNWq6Z5c\nOe58ZJuD4wQOkUgPN5GSZq2DAzqslSKRqMKhXDIRtxAH58PRrAlT0I/6NXdGQ2ap0NcXjyUQVJYs\nqy8SmQ2ZUZ5SfqzSY8JDYrLxesEuF/ri5uxCXCWm2YZ0m3Sg5tGFoU+hmCt3IYwoN8oyRg2RDXQK\nXYoNNMUKh6wMZHEJJpQUs4mDyqpmKS7IxEttmKkFEWc6MJzOTJxPQGbgkE2l6plYpD5LiNHRvItD\ntdFoygigWezpUjhU4Vd7evqH+2Up9Zcpkwq04Sqaljpq5gfyjTxw6M1XEjNxKAKHXm4iAQdYFJX2\njI7m6mXgAKdbLIYqZUS2WdsuHsEBpmDArBdrKrMtl2eZ5WJ/P3BAMFO2rP5IZBTxpIql5McqvcCh\nGCkWE/ViDPFD3BwtxlWume2S6RaXTo+GwWLogwrlZq4AMMr5o3BoKjbQFHd1uXxAIgNO9PfLxQ6V\n7ykchhUXVAYu+5VxTPEIDs5M5MK4+gZBsaKLOGSBw7AQc+bk8yIi0zSoarccQHextylxyCGQhk0a\nGBmQpTQgcZCVKyNH4dCVrzcyfUdwyENLJA59Cod6Bwd0eAQHnTjkcjNwyLk41F0choHDwEA8lmRQ\nKXGYAzFQEYvEoc+EhyQODeIwEDfnODjkc00ZvtCBvg+H7u5iKV/pRjhX6arIGFWPSF2gN5ZsoClu\nNl0+IJEBJwYGZuCgstsRxQWZAL8Ph9zRONCZH8GBS3QN4NAYEWLu3AJwkGlaDX5IRmI9pd5u+cFZ\nDoH0LPQ+W+FQHqgw4ZSVq7ORa5aljpqFwUITUV6mv1BNyC0nB4cScOgvAa+U2YBlV+nn3Ln5RgU4\nwOmWSnq1YjaIQ+kIDo26OYj6jZJaZ66MmJXSwEAinkRQiRcHIpG5kBkV08rPMfqBQymCPLKrFKuW\nBhLm3FJC5fy5bnKnxCXsY3BgCIoKlR6Ec5VmpVBvEAfMqym9sWQDcejudvng4iAXnVTerbLb2YoL\nMhCtyn5lHFPq4GA7M5mBg2JFN3DoysUiXbOFmDevUBDRY3HoUzjka/nCcF/f4OigLOXBGTiMKhwA\nq1UcKjaLja5sf7GaVP9rJoSaVt4qWdGowsFqwLKrztFhoxKN2i4OFuIWDMyKq09E82CRNWTNwGG2\nVSkNDiocqpHIYDQ6DzioWEp+NNRvwUNGkUd2leKI4xLWPAcHxLsyfKEDtY4uXV29vaVyodqDcK7a\nXZG5gh49Gge6RIVDXuKASzDhfTiMKi6oQHYGDs504MCcmTif4shvUBQO+UymKxePdo0KMTZWBA4y\nXYaq9spIrLfc36NwQCA90t8/NGdIlspQlbZBVq7NqaNpqaNWcVaxu9jVlR0o1o7CoQwcBsrAK211\nwbKr9HNsrNBVBQ4lprB6rWp1EYfyERy6GtYs1O9SKwzV6qhVLQ8NJeMpBJXAYSgaHYPMzMBhADiU\no8gjm+V4rTyUtMbKSZXz53vInTKXsD8AB1So9SKcq3VXIUXEAfOic+5VbKBL7Olx+YBEBpwYGpKL\nfyrvVqsMcxQX1EqI7FctTB3BwZnJDBwUK3qAQzMfjzbnCDF/frEoojJNa/T09MlIrK8y0Ku+RW0U\nirBJs+bOkqU6q0aZlJXrc5FrVqVsWKXhUk+p2cwOluouDkUEklYFOAxWgFfaasKyq/QTHXbVgAOc\nbqWi12sW4sdYrOLiUACLrGGrC8ZCrTPX5li1yqxZyUQKQWUtEpkVjc6HzKhYSuIwCBwq0Uol2V2J\n1yuzktb8SlLl/IVe8q+Cx5VjcGg2+/pQodaHcK7WU5Uxqk420Dn3KTbQFPf2OnxAwSWYIBedVN6t\nstu5igsyAa7LfmUcU3GmAwfmzGQGDooVvYVMphs4dM8VYsGCUlHYLg79cgD9lUEXB8Q3g4PD84Zl\nqQ7PwGHeDBxGJA65oVI9JT/+tywHB9seOhaHBQuKzZptxzo4NBFxxmfg0OyyRlC/g8Nc4DA8nEyk\nGdxHo8O2vaCDg/yIbshCpGIzj6wkEMclrQXH4MBA5mgYIgxBK9Vivb9YLtZ7a6VuKIJuOzj0KzbQ\nFLs4yEQGnBgefh8O8/5fcZAbFOrbKBeHbLanELe758m/w+R1jqL6q4C+j+BKk9c+HyyXWCPGhV9k\nxRe0AW2+tkL7gvZnnoLne54XPf/b+xXv495ve3dXk9V8tVytV7urI9Xjq0uq36wlIL3dtVl1Tz1Q\nj9bj9VQdcVJ9oD5R31C/oPnSvj0/t35/+P96Dh/mX0oUD2qztOO009By1vM8Wn6l03KiiryPk0bL\nx31AyzG0nOu0vFG2LNCyJlt2yiH5dxQPNYV47xPvrXzvQ+8dL8S+h3lv34p9N+47Zd+Cfce9fuD1\n1uv/+Po/vPbua2+/9q9CvPY7HK+/9qPX/ua1R177xk+Pq94sRMgv/9riGi3p6fec6PmYEJ6/8XwH\n9DtuT57neXheEn+keKbUcdS9J3D8rUThSvG0+Kq4UOwUS8Vz4r+LvxQrxF+JdeJW0RIvijfEN8Q/\niX8QnxXXiBfE98TlYrv4mHhe3CE+JW4QU+IU7Uahi7AwhSUSIilSIi0KwLEkKuBxXfSLATEohsSw\nmC3GxHyxQBwnThSniw+LM8Ry8RNxvThJnCZWiw3iYnG1+Ly4WWwV/038qdgm/lzcI+4TT4pvid3i\nf4nvi5fFT8Ve8b/Fa+JnYqX4iFglJrQ/EVeJc8XfifXin8VZ4rtio/i4eEz8ibhTu0H8T/EVcb6Y\nFD8S02KRuEt8U+wSa8WjYoe4UTwiHhY/EE+JgHhJ+EQIshbUvigMERMRERW2yIsMpC8n4qImekSX\naIo+0S3uFr1inhgVc8RccbwYEV8QS8RCSOqpYrFYJk6G1H5SXCIuFZeJL4vbxO3iS+LT4l7xkLhf\nfE08IR4QF4jHxatij/ixeEW8Lv5e7NMMbYlmaks1S1umRbTlWlSb0GLaKZoNmY9rp2oJyGdK+4iW\n1lZqGW2VltVO15Lah7WcdoaW187UCtpZWlE7Wytpq7Wydo5W0dZoVW2tVtfO1WpiE/Tmeq2hfUzr\n0tZpTe3jWo+2QevW1mu92nmiLP5M69M+AQ3bqPVr52sXaIPahdqQdhH0YpNoQD+GtYu12dol2oh2\nqTaqXabN0T6pzdUuF7PEd6CVW7QxbTM06NPa8dqV2gnaVdqJ2tXah7TPaCdp12gLtWu1ce06bZH2\nWXGCtlj7nHay9nnxIfFzbZ52hbZA+5T4qDhHnCkuEn8rvi7+UdwitojN4lnx1+IZcZ74hDhb08Rf\naGEYhf3iLXFAHBS/FL8S/0e8LX4tfiN+K34h/lX8TnxGXCsC2ktSn/f9/1uWMQdIIWQwApnrhoQt\nhHSNQ7JOhWytgVx9UkrWbZAtSta9kKqHIFcPQLL2QKooU+dB3qkN3xVnQ9q/AA34uPghZH+j5od0\n94r3xKQW1ELQlbvEIU3TPOI/xGHoyw7x75Dex6EPV0FzhLhOC4h/gxbdKK6AhgWgH32Uhw5C3xb/\nQ1ygecHxE8TnxJvii+ImicQnoGF/A/za0KkoNMuGPik9ylOHNB90idozT2wC+v8I/VT4rwX6Xxfn\ntMTgqS191Zpdmvana5/WDt/cWlLapXvXf3yopQ1Wq0svXtLSNgy1PIMtrb821PIOVpe1vM1lZ6xp\nrK3eXr19xcbbq8uqm87b2PI15S8eXHD72uFqS5y55mLQs9bUWuNrC53TC9auPX6o5WMzPtnM7WvR\nwCVOA5fIBvD+e0Mt/+Cp1Za3e9Wa09e0blhSaI0vWVuo1apLW7tXrWntXlKorV071Ap0xojfz1+c\nVaMNDrYC/UOtkGrhTLyP19fefru6atRau2+/vXA7ZuBcP62JY2+Mz7yBGS99WrthlXxyQ6NW4I1G\nrVHDiNYuGWrpg6eeuWYphlRbOwSRakFk25rHM6C1vV7QKe/yRfOa2dDAlO/Dzon/LHUipjTnbMrz\nsWVj8lY74A8OtISaT3tDSPt0+/owyAMkz5G8TnKYpBLWrmwvJFlPso1kJ8kPSN4miYa1q9rDJCtJ\nriDZaeLdt0kqJqoMk6wn2UbyAMlzJD8gOUwSNdkKyUKSlSRXkLztVPk0q2BovLQjOBsnWUWyk+Rt\nkuEIhxvBa4d5eQUu6RhT0LgToZET+BUifrgoTO1HIg5vG/f8DpZBQLvVf1+Gb3kFVnuWp9/7qP+l\nwNbADwO/DWaDZwWvCV0e+qb+2/Bp4S+EHwq/ZAij23jUfNictiYin4rmo2P2JbGJ2ObY12J/EzuQ\n/I9UOvX99O8ze3KX5LbmXshfXjilcGHh9sJkYbq4oXRLRVS+VvmbyhvVrdUdtQOIQOr1c+vXdd3e\n9WhPqOfcnlbvpr5Ng/cOTg1tHTowy5z1w+EHh58f/tXIZSMPjbw02jV65ZzpudV5l8z79lh17KwF\nXz7u9uM3H986IXLCwyf8/sSNJ3lOGj3pEwu/sPDBhd9euH9cLJpYNL3oXxaHFy9Y8u2l6aVXLn13\n2e7lkxNLVixbsXvFj05dctrVp019OPThlz5yw0cOrFy18oerxlatXrV71U9W/fr09OmDp0+ecd8Z\n3z+zfOaSM58/69dnB86unv3s6jWrD63pXjO+dvTckXMnzr3w3C987NmPHVqXXHf1+lkbzt2w47w1\n5x3aGN7YfUHgglUXvHHhZZs8myY23XjJpksevuS3lz592QuXhy5fdvm9l//HFR+/4r4r3tic3Lxg\nc+tTOz5911Weq+KfyX7mK9f4ru2/9t5rv3Pdjs+e9Lmxz09d/+ANX/uTxTce/8W5N+Vv+sub/vam\nvTcdutm+uf/m3bc8sXXktk/dduNtk7d/4kuXfelzX/7Uf3vov/3sT/N/etmffvtPX9n2uW3T2/Zv\ne/eO+p32nVfe+fCdu+985c5Df9b1Zz/88xu+kv/K1r84/i+uu2vwbnH3GXdfdvef3f303b+455R7\n7tpe3X7a9s9tv2P7S9v3bP/ZvcvuPePej997yb1X33vjV6/56k1fveOr9311x32R+/L3dd83et9J\n951y30P3/eV9z973/P3x+8v3998/dv/i+z9y/7n3X3j/p+7/wv2333/X/Q/d/5f3P3v/8/f/8P7X\nvrb7a9//2itfe+Nrv35g9IGTHjjlgdUPfOKByx+MPJh/sPvB0QdPevCUB1d/fcnXV339Y1/f9PUr\nv37DQ2se2vjQ5oc+99DWb4x848RvTHzjrG9s+MZl3/jdw+Jh8+GtD08/vPfhAw//7hHxiPlI9pGu\nR0YeOfGRiUfOemTDI5c9cs0jNz1yxyP3PbLj0Tseve/RHY9OPrr7sfHHTntszWMbH9v82Od29O6Y\nu2N8x2k71uzYuGPzjjt23PH4xidGGLbLSFJ4/gGetwHbPiBGW4PDraHh1qDd6p5udQ/vSvvebQ3Z\nrebeXUXfu+KvvFqXb+CvmloO1KdpvoGR2fPnzUn19MydPzY2/yTvvLndjXog2DM2Nmc0nUryLwIG\nUplYLabheG3BPI8VTMfsZNg3VKkMBUaDp4yNLct1NwOB5w5t1P7hkLjq5JOvii3IWaVYNJOI6V2z\nB+eEJhYtP7E6r1FLJOc+7bn4vbs99703iiELoaJ1z196P+3phucXWhBe6XXEDh9qX2Fo6yYXGisN\nzxbajS2TO6PPRT3rpnZHp6P7ot51grZmHe3UOhqhdbQruETNkdlH2r240+5G2e6YbLe90NC2jFsP\nGDuN54wfGK8bbxuBde0rSnxSkk9KO0vPlX5Qer30dimwbmT2B4zzetneQPsKC29xgKJ9mKdvcxgL\n3bF0RoVGZs73nk47fyvbWdleFUPtK2KofQPIlIjZsWrMu2Vqd2w6ti/mxZ2aXavWvKhUY481Dc9q\n07V9NS9ewS3RXp9kX8Vj+/pop69/lH012wvz6Atk3dQD+Z355/Jo4Yq8bKGCFg73qha8sLDCczzs\nbhgxxID22XZzwDvQHhnAyzZIa8DeJXzvtu9o4qWRJu+CtJr2roD33ZawW8Y0Llrl6VZ5uL2qrK3b\nFfO+264ZzVj8uPbmQfTXEkvXtHLDhV0586S18qIfF/2Bk9YiAHm3beT6UbVlDO8Ke95t5exdaY3v\nh/n+wRoHqU3u8D7t9axrT3jR/R+8GIgewtm9CQjPNcmtSTw6QK5cTHIvyYEUL0nGiqh5C2Y8eWH1\n6ipqrq7ixltVPHqzAbKH5EddvASZWt11YdfVXQBidc+FPVf3gGcv95JnZ7Hrb7HrpTx7lGfvkAR4\nGeZw9kdxuYm93wMyeW3yNg7sIG9sSrlj2s+ON5G83HD6bP+Y5BV0M3/O6EkeqmZjnjqb5Wk0euaM\nlj1U0VQamhrBnR239ywZLZ17zp/fmZ/Tl9crJ865feKfBs8Y71504qlnx8YuPPuVxXZttLFsyYlW\nebhu9PaWFsf7l4wef2bEE1j3kdjiRSMy0x05/C+exzx7RI/nlnY87B1oxe2WmG6J4fa4wHSmhbau\nFbZ3lQDnql6qXh8Frw9KurBvZR+mdn2fi24UgEZddP248APddiLqJ7KJ4VbU3pXV3m357V11gNvj\nj/J+z3B7ugdNbuiRILff1HBxWxBkbYhnJG9S59eS3Ebysk2wqD5XkXyX5FaSt0im43wAMnlbYnsC\nA3wGAtJ+ieQXJE9SXp5JvkhYniQsv+xgs5ZkO8mLJM+S/ILkSfkgDfIMyRMkvyJJ58CjN/KUMJK7\nSPaQvAMyGcin8zBpy+XzAm48WpgqoNv9Bb5awKvLebacZ29SOMcqyyp4flfVlZE0xXQ5zw5SPFZ0\n4XIHdXAtyXaSHLVxBcmzvHy8G+082/1SN9r5aTdvkLu/6qH4HiRvD5CFK2i+9pCPL4Nnk1fHbolx\nXOTfleTfGyQvk3yPPJN69aLLp8lnUi+mUH1H+iiuHCS5hnM9QHIKiZzpAVoaOQmpcPs5kwuaZEdz\nqol2pjjMPSQHMMxmxNuoz4LYn+SBV8oEZ+EyAtEve6gN8z2PxectWTm48tbzFyw4/9aVi28aXmh0\nz15QXHLZqb29p162pDh/3nByc2GkkVxw/tbTT996/oK5Jw7H6nl79KwrPvShK84aDWf7KlLue6Tc\nr/B+rj3YBVsX7BqkPAYhj5C+VmRvexvt+esgraDdSu5t/5oMKEeCqDZufLX8ZPmvy39X/mnZD7GE\nxWv3gbS67F3zYRHhkRdPtxYPT44vXrUYIjC9GM/KdmvF3vaqU6hFp9LjnbryVCrQqa4C9UFn+lwF\nWoGLFVCglrm3PQLMWrG9rRU0se2hvhUcKRx/n71rFBq1wt51IjRq0Yo+3l803N6wiIqwSGnU3Vnq\nRw4dXly6toQOl9Op7KhTikjWkPPLwfnJH/e/1Y/nPxogSiS3knyP5J8GiTDI1L1DTww9OwST+HdD\nFCySF2bh5SdmPTsLL/9yFqVkmD2QvECylmQ7yTMk15H8gmT/XLw4f+7yuXD2n5l769y756Ldb82j\nJsxbNg+tPTqPtUhuJfkxydhxHC/JrSS3HM8qJMtJ7ia5ZyGaWLvw4oU0vQupwCTf5t0Xx18dp2qQ\nQ78iufpkvk9yN8ktSyinJHuWcvJLqTiPgIWT382+nPWsm7wlexd+2reAoe0pcvXu3GM5j6P73yO5\nDm65fTEjjM+SHMPuZ0jOIc9vo2aeQsbv6d9Pxr9BTr9MckuH8W+S8XtIXiCrd5DVz856iaz+RYfV\nB0iu7XD5RZJzhwnK8LPDqLlgLplCcoBkBdl+7dzbwPb2VrL0aZIVJK+SvLWAsBy3/DiPw+M3XfZO\n3nr83cfj7pvk510kU2TqOQsvIqsf442Xxzl0krfI3mvI1AMk20m2krMHlxCIpa8u9azzZ5zgEy6t\n3jM/PWd0TDo8hqXzu3v+uB3I0Ez0aJd6QjGjPJyq9SXnDtn13nSvL5yMRtLh+Nyh/pP/MxtxgrQj\nhnGi5vX1dGXqqXC2K57M+SKWHvDHlgdixT9uP/ppXzQZjq8G+RbiJlPktMF2IgdLspOicT0I4xhG\nTbthQ1sJGSu119MiPkAiaPZ3F1zlj0DfI67yZ3GRdWKjVsTeZWjvUpWfZqxxHMnjJK/KIIihx708\ne9pHFEEmt/se9wGPp+k8V4R4I/R4CDde5Q0ZNT2l42yCZAfJcSTbSV4l0XVWoXtYTZcg/cKt9Aa3\n0gSuliEMyRRN/kSaKiKjomUkMipaJsfCtp4g+WuSFWzwGZJl6U6YMyO4YVTztS+f/pmV3d0rP3P6\nlyd+ufjmSxcvvvTmxb9cPPv0i+bPv+j02YsH1968Zu1Nawdl7MKYtQHeG+LClne4bYMT5HfLa7e0\nva3AdCswzNg0NN3S7FZ4b3snvN7k9dY2y+PwXAYpLs89uPC4PEeQEoBJ1f0emlQdYSkRmF9L1WI4\n+N8O7bOHPqQ9dehO7ZxDjy9e7PnO4t8sRhwux8TcQVgyDl8kdiEOb3DhZZ2YfNs8bHqcJAbpzBZ5\nWyY2bhx/7Psfle/Pbm8D36aG7YX2StuLBMl+zvYwiKcf57TaCxl3ro+iybejsrVOWxd32too21o3\nrg+bC82V5nrTt2Vc32Y+YO40nzN966ZeNzk+mOAoh7YBo5p6Pft29nCWt7JIlvTh7MLsyuz6rG/L\n5APZnbSDG+hdttH/PVc+ut8jc7he9jugHOqGKMVFZk0yf5JjXs/RHybZGXV4Ad2yHN2yRU27vV2o\nUbdoTK8HadUc3YICtQqdPMSaJo3sxeNWXNLkdHs9g+wHSEQDyZtEOw200y70VVxUXejTUt3aVrpK\n6K3hXTYykth0y2Jb1MIc5GzyOO8Kr8dRvJ+SfJNkAcX+HpJnSHI+1FwQmoDuTd4T2kEVfIYqmDta\nBaXi/ZTkmyRPZ6hkWSYTtCTdjDHP4dmt9C6r6VP2k3Qjf23fyrPVZbZHEHY3yN3JjjLOl8kKx3IX\nyQL2vp3kFJInSBawz1NIniV5hr2fxd5XEFrZ8RSbXk7yUfQ0Q3OpCMxTYh+owZrn0KGJFSs+QI9/\nMzamzXmfLhvAWhdntzTosuboMjTXu5eYQp2h18G97ZWGazK9gM3rYihwIRgvee1dPuAX9AoVz+0K\nUXXnNDqKO6E9eeh+7ZRDU1JnnRzovyMWbHpK7WQJOVDJ3hWCrR5OgguHafJaIK2kvSuGESXtVhPZ\n7nB7hE681eOOpo4B1I814G1Rz3IYYrhVt3d5IV5Ze5eF4SXU/cRwex+8w664MvAvIt2a/Kp4UjBE\nwXn72yQXMW5fQ3INyNRt2nbtcQ06+SJv/YHkpyTfJnncA/J3JHf5Qd4hCfghhvP9y/0Qw7HAsgAa\nfyfA+wHMbxnJVJgeP7w8TC8e5stcOtlD8g5JwEALy4zVhgcNGcsNtkDLtZqG4i2KZR/XGQ7Qr/XR\nr/VVQNaSrGHM38c8Zi2JTLffYArwsky3mQfc1XyUecDzzF+ealKA7+a0d5C8Kty57yB5gQy4WLtW\nu40MeIa3fiIfcsYvgkwe51+BebaXcRbzScY6U1lOspajPSjTFI52dSfXeqOThf+MA/kuyaMke9xx\nad3dR2KQsfnzKPiBwMxsxXNp18bFbpgx/4Lex39z4rZFbq5y9mdHPIu7B91AopD5P4sPPdJounnK\n8IirB5+SPu3mlgE9AOPbq0hGQHaFIX+e6ZYhFWE98xTvNLKTXQHfu5PCsi1YpG10ctPWPji59iqL\ndtxyJVSDUGquhIZxEaaEejSussD9Udd808j2W8HplsfepVMmE3NitdicGLQn1tgwod04MXHoCxOe\n7xz6e23OeydqKw/tUmMWOzBmrzgNfUizvI9hyCrfBoQhk9f7twGRqYp/2L/QD+e12z9NhITftcVH\n6bEcJMYlVXbOjgl0Rp+yHMwJSJ+SdvyqCZ8ya/IB/86ZjcPF+g4z9llIc7feRxfrnMm1vcNv4+3c\njHY+KtuZO3l9cFsQrz0HiziuV0LDoYWhlSHfFngqatBOkvUkb3NpApzn0iPGdfg3aCUjfWza8bGm\nXOO7Hh2ORx/w7fQ95/uB73UfhxVcN25EfRXfsG+hb6XPv6W90sb4rk/Lmumd6efSP0i/nn47fTiN\nmno0XUkPpxemfVvc2ID/l2r/c8bYr5d9DbtjFxhVezMImBA4TC1fSC1fTwXf6Zw5vlUTkcP/on0Z\nrE2Iv2mFhuW8J18PvQ0X1UrslZY3BD/IJT/av20pV4ak2LhY2biwpZWzw8rKyQWj9g1cNbKlvaNV\n6wXS7YvJvetINnEsB0CmQoFsoDfg3dK+hSHMLQwH7kGYOfVM/MX4q3Eo+BNxWoML+daFfGsr693m\n1ms/DTI/nZb+CEIqk4junnPCYyM9swvhicTwacet+IR559DcyuyFNe2N9w51nfqh3lNXuHp2HeYf\n0f5HyxymOp1MZP+K5DDJn5NsJhkHS6lnCDHPhDud/Ib3r7gO+T261rWMvu/xUmhS3qZ3nnepF7HR\nP3l/zhpfZI1fkwhUa/n2Tp7v+zQ1IuVr+qCqf6BkjlFGl5J4QcajN/ju8D3oa/l2+6Z9+yAyLVPi\nwDWIwN72z8i28wOfDnwxAPb8L/LkX0m8AHnqjsCDgRbvT/OW3whw9XQZjX+vf4EfpvtW/93UvEfJ\nz2+B0JBEptsVimHL/sBM5CjdNHBhBJyLIC6CEnyv4bg4fW97KVMHv9DZdQ9xf4qdcRDtFEkiRNXR\n2j+hwf4Vyd+TfIdc+g758Sbrf48kxPovMkTZG2Lw/LLnTQ9G/12/W4vpTGLOHG2OpjW0RiNGe6Hp\n2ocvOvRV7dpLDj1saBMT2p3anEPPHfq89slDf64+4pHYa7/FhV8cd2ze4NlL4xcc/oD8QHKCQaLo\npALo7pRDl08w+pc65bRrib9GE60omqbowD770LqYbvnYQdtGxNuK2k6CAlz1vaTGtIDxg4LJ3iz0\nZpnHsnobfV1FY5QP1zZurA9fEb4+vC38QNgPSQurtVrY7bbQiMDU82KP2C+862Dad3lwO6RrBMYr\nQjI2UpGSIa8mbzHugl+HxZ+fCjJOmhecNx8zfOUVzvGMMya0S55d9uzPFu9ftmyZdo/LR2+eOuTJ\nt4MhROcrGdeupBkSoaDqAdFbex/BvYFkFUkLRHJE29teyAmtJ5G+/FUQGB6ueT3H+ELu+2xzcySp\nB5G97T00AFMkZ5KMkEQ7aQTzHynN7etJHiCZJhn/YAkP4SIk5ThCPrQ/RQv2TyRnMxobE8sQjU2e\nLM4UUNm/4v19JLtp4yLINKc5YN902x+K8PXvQzInv+y/j4r2WUrpkyR7qZG67GDyy/p9Olr8vr5X\nZx0G3U/qat7GdHuNrZbtnmInF5Mp2zWuuWovalzN4o0nSG5Ci5M/CrwBOz95QeAq/Ew9EvhW4LvU\n/7uCNEhTweeDe4L7gz5EkLRjj5Fsoj7tcNOAcf2Z0IuhV0MHQ6j0uM5lGf1VjGrqEv06/Xbd62Tu\nvyR5hGy+kOQukudJ9pOcE6GRfpDjvZPkRyRTJPtBmglGDw1qKBVU+x9vXz7hOSy64c4mLr/JM/7e\niZ6N790nj+84dvkJxj9aue3VIVNVWthVTLlu8N5BqzrtyhAjfQ8kwj8NRR2PrfSv91/hZ7DBmOA5\nf2hLS0ccjwoGIqbh8cSIMW6sMjYYm40bjDuMB42WoW9hKr6F30JsmVxlbWDMdD1czBTjp19bmH6r\nEzxJ2/e+3Q3hp+2bukBcJW6GnrX/gBmPW7rIiT5xnFgh1orAlvZXeNN4EO3sFtNin/BLw+uZRljN\nvZGpHwReD7wN3MatSwLXBW4P3Bt4IvBsILCu/W8BtuYPpALNwLzA0sDZgcCWlp8rGiOzm3MYlimm\nejZ4Js49dC7IZZ41YOjH33tI2jonF3+C+4KiqvYFNQsxQ7l9PfRpknk/pjxuyg1B7uwc7pMhgoc5\nkTeOnCgherTftMowSnvbgjtCmwnsuJDr2bvCMuvelUSyNN4LHrb6dnNPaCGb2tfHvc0+u6/a53UC\nvQbY1nB5KDcD6Uwa9i6/Jjf9oipemKBHANnSPo5n20kOMrbXPTkPlHABJeAAyQqS7Z21MGbm7f+Q\nZ3SoaUY+1IUpqsE7QeCTDjIVCi5nvDRGLXiUZD+jn0AoHeJuDW88RbKc1mwZjc+jJPtJ0hSXp3i2\nnDIzZi2jzNxFmdlj7bfegcxMBqw0A/F3qBtpbgzn6F8XcBFtBcl2bvq+GjsY+0MMtfVYLobaE4xn\nQDBnnh0kyfFyNdfYbiVZzcz8VpK1zFy2cpl5LclWpi9rJeHyyGrmK7eSrGaGems30SVPJxd4J6BB\nkwuCE5j/5Hxzuckfa7nFn9jyGH/iy+OedZpcg52x3CpDKzfPKXs832GC4yY6/P0IMxw30+Gv9gkm\nOW6yw18mOW6yg1+1xrMQPuRG+hDR0FbBMLcKeyd3Fp7jNtnbmKVc14nYuxJQ4+g07W1yr9r83paU\neyLt62MyNW/Vp5GBj+sLmyub65tXNGHPtjVd3a1B1Gqu3KVwkaLc1eRGJP1yCiLMhdbptl1L0W/Z\nw7tiShb3UJqWM+y7yPsZMm++bznzi7tl7Ea7KDPNu0lkfvkYV03WSMKlmR1yC4BLJ0+XicM1bO8V\nkt+ThCixUoov7qwfbSc5hWQZ25+vu+0vZfty/+6AlAJ28jjJQRK5JrTf7am9AkRzMPTNmZNwli5d\nEHHqCR239OrVs8O5gaUbFi2f0PKH9mujhxZd+ufr+k7+5JeWa9869BPPjc0Vn1yeOmHhwtkVbeXi\nQ/+6eMmmLxy39uY1A1zrlDZC5iN1lZNpfcyl2pt7wa71vVf00rb0chdZ7p7v5P7xepqJt3sP89l6\n3ljofILwAe19VLY33r6C5mQVv0XYPICW7YHqgGfL1O6B6YF9A9Dp8UF+kaE2pllpIfdN3h5Ql0e3\nfXGn7Y2y7S6Ob93keO+qXuggx90e5+bI+NxVc3nj+D86tuvl+wva4+hx8sGB1gCcphjg0JDOTA/I\n+TpDwHwHDg941HDk6GQS5u3YWENkxBz/1nahjzGUnGwfQsQ+Z6GpNbq3PTLKmG+U4yMRvNwsz5qj\njCleEj/hmtFlNM7XkjxDC92n1rEMWaf9Y4rPfpKrQPi9Rtfe1qjdmrO3bXbNYY2rXDs3+V3zZXqG\nT/DGPm5dby7cQJ1s0fKMcIVnFQgXXmn7M+r1VyiVnyWRS5j7SbLq0XXcQZvKPs8l43+mtDbU/a1c\nDjpAspGkW430Rdqtq0hmqxuXzGZ7s+lQ5tnzqvPA44XcJmzN281twn3zXE2fBeWe5Wr6KC5Gj13j\nlRdduOjixSy1KFeVvgeZDL9JmHxavEBmXkI+XkPyBokR9XIoL5OBt5BcSfIzElM9+h65tdV0lfRq\nko0kGdlu+1Uy5DqSZ47wZxaXmSefyn6PrPm5ZE11Fmt/iQw5SHKBZI26+8IR1sg3FWt+PlsFjQs4\n0BUMW7eLxzmHAwwVT2EA2a8dr0Gk5zGpkkuDexioOquCQX8G+WH7akapexhYzg8s5wLCvDBqd4NM\nPhZ+iouDTS5FPcU5L+XE/oJkzFkJXDf5qDlFqemmk1xAMs864iSXcTHqMSbwb5EEeXm86xknD8R+\nz08Qsvw0SnrJV0mO4yWz/PbvSbJxrrzHV8Q9joc8TjrMBMhWesjHSf5A0p/m0mPGtcdvkfyeJMSV\n7WVcUv8FV7abXEOXS+pyIb3JhfRz6hjPssbqBnr5PVnfz88u3uFKZaCZboJPY/zcYjlJoBvkGcLx\nJMkabulme/iBEs/WUOG3khwg6ad1WsO93P5BJv0jnPwIxYkYZudws2DOxByuDMzBDR032v1zaNxu\nJq5yUXSC5DgivECbYEbwOME9qP2B57rGJvwTzD10Ap1n8r8gMEEsZ8I4RQR7ieXZBE8GORK1+YTx\nbvMxwng2YVpKBB+1pojgft4I8IaKGdoX8UaaGP2YaP07yV8Ql38jSREtFU+0byMoa4mHnwA8SnPw\nVvbfKfMSjK3k/lb6rbVlcr++uo5H87lX/pbcMCcOEoztIJOhZpY4/IFBzg4yPtTB4fdk/FqSHHE4\np/Mdw1skq8n9/SS3cjt9WQeCU0Amb579F7M9R5Z50/yjMs7XWD3znQ+v6t093Jrudpd852c867o+\nfjxjoEat0TkbnTXKSGjpNcOnNU9zzj8zclrTc3q1wWDouE19Tefsov6x2Td+mFHRQPfp9TOc8/6e\n0+sdv/PRjt/5R+l3CuOGvbS6dGTp+NJVS/0QkPX8WOHw0iN7Z4z7M3JfOqPV2rEMPIudgcXO2PIr\nUTHdXsjAKaZ2pZ/jhwwLcyv5IQN3rj8gTZYbZkx5UpE0Q6TUcPt17gHfAMIlkRnb1Ecim16SFzuh\n+SWd3bJNDG96GaRfy7OD7m6Zyk97GXkfZFB+QP8909GQntV7dVj9axkMvUhyK1P6W+T6YDfb/rFX\nGlqcXc3GLiK5lo31sbFLeHYN3+vTIZU/0X/B3LvAxapbbK4izdyM5rewXE7aceXIyb3xeO/JI1dO\n/MNln//8ZbdMaF9K1obyuaF6YvHH169ff+gp8noEznwAfjwl+rTX2nYAvJYrr6uYfxzmOIdp5xIB\nW8aWdiu1txUADghtbXtX1fvuZGtgNwMEMeAuiR+VbbpL4rsKYHOCy/+7morTa+UaJKe6lROUn8xt\n5SzXkqymet5Kspq5yEEujDxPHf2Wq57tR3nWzTO5v7+C5FF+ITeWXUbl3E+bmabKnuMYTmQ7OWY7\nuf25d3LMdnLpnGfL5PLcOfhpp/Pg7qvFg0W8+2Pq9Aska2hlV/Bse4nWqvQHfoek4+7kRHlNGa8f\nV15Rhh96tXwQP+013DiaqPMl2uKD9T/QGuTkjY4NeLVxEBZ6Um/kGug4RxudphVYRt2/q4dj7Nnf\n804Px9iT7kGdc2gQljHI20+SZii6vPcchH6i/T3yRXqa/UypfkzyFY74RyRvkjwPUqvNyILk95hz\nNCdHmufkTN6BQ5d++IsbxsY2fPHDp+F35Tl73juze2LT4kWbJrrxu2gxfsfOu3nlypvPG+Pvhu2z\nPFrfCZeeMXv2GZee4Py6Ony81OG8diG0kf/zii27LLWWGJHrwc9RzihsuxKQpoDdyk63ssPtP9C+\nhrLZrGdLK7e3naeJ/SZ1fGVuPXRc/Wxpv0s4TT48nqQPREpl1m5l9rZvgLkej41nVmU2ZDZnbsjc\nkXkw08qEtrRX8mvaneTQwiK/qChuK7pfVMgdAVdu5Rqm2h6wnBViWxoJrhnkudUud9Wzclc9T9U9\nwG2ji0PXcqf8dgpznhoql5+66WbGKKkX8MPaq5O38AvO5SkqPHdQLDW83ZnpzL5MAAbAzZZF+0DI\ntQWyzUtJDrDNiwj6VjQ31Z86PnVKyrtlhiHgwor6LD7R8DZ23ODaghsmfnLZ59et+f6av73miDV4\n7wue73x8/SkXhA61NLm/MHr4X7T/gE0Y8TzQjvR6B1q9dmtkb3snfc1hkitIXifZNkIL6n8XVXYF\nYYz5HTnhTe9t/wAz25XxS+NawaOVDPmvINk26lrpIXB5yGV5AhcJyfKhhMPyIbX0G1Y3wsPtTGKI\nZ5lhfpNEGMJ2q7F33NjZeK7xg8brjbcbfhlMbu0kE9vlAtaT4q/F34mfil8K/7r2e7y/yV2elOuS\nk89qLzEKeZWB5TJ9NS2sTF5Xd9ZQHqExesPmd9j21bbH+QZ1D2G4h87k8RTXJJ9NvZT6SeoXKd+6\nqQuzV2dvyXJp7NEs04c92f3Zd7KA10eBZYY9uaA2UfNwJbP2Yu3V2sGab93kpu5r+P3rq4wHXqE5\n+AmTqq39FK7+a/mp3cF+eiKSixkWHJRf3vGzuX8HmXpk5Fsj3x1BavnmCOXndwy3psTzDKi5pKk4\nw53pqae072k/5lb0L8mFPXKvQ3dnew7JDhnxcsqb7Gsw5XFjR+rp1AupV1IHUn7nc+Pf0cpenSWT\nj0wTDy+Sn26SBHNunLqgRhY9XXuh9krtACbbXsE1n2s41YtJftKZ9B5O+mXO8UKSt+QZJ/pjd6Lt\nx0a4q+2uErjxjbulNndWwI1ytJ3D5xbHBvJjq9avGus7+cz+RVf1LcqcsaAwNlCszFm0dNGcSs+i\nMwZO/ES/Z+XSaGV2bWRevTB0yvjIh+cWZy8Y7hmO1UYqzdm1dLo4sGj2nNNGs90jMq+WeiLz6iEZ\n35zz/zH2JvBtXdeZ+FuwcwMJYuUCkCAAghQJkCABQqJIiBJJUCtta7cZsrUtWf05lZjEizLJSP80\nsSVPMtK0iSylnUj/NNqcTgU+w9DSzkitLWpJfyMktTYbrdjakiU5E6mNrcWVybnfeXggKSnTOtHB\ne49vue++e88963e4nzD5poqUW6ZCQzC+BdKJQT8ItZcRknLI3yIEGX/Ucs+8rVUJqvqEQNEisqvs\nHL7DIEgnmMju7O6wtBlbRr2y1KrYlFE9EkWikhVDLeNNVYwVtFaZ3fzc+P8Rqv+P8J2urodlrAru\nTqKC8We2oiH1Bvy5Asu81InP62RMSglQKkpLuxEPvQnkOIK+O51LnMLjJK5ytlOOuVxWDs9Coiyg\nWMYoiDBQBrcVm9lFheX4c1FA2sZW+JF8WTS4kbUnDUvrFAkr+YLuVXBW4odyPJ8pO8A46RrOfznn\nkST56YUc47wJMlOnyAl03VbbQ1F85skoIDMTnso7mquqmjvKvxGP75mxMOJyRRbO2BO/pbE319c3\n2TX/+GfWQG8w2Bu0/g/2LZdO/EZYzfqygh9E3MMSJe5hJB8GfGOiPEPpLtK57LIzLN3CFq1Cg9jF\nUjRSoXqQ3FC5GaLEbuchxNJ3UpoLyDmQfkgWLqfy7fNZF+c/bNQnW2A+eyTWpeQ+IQWvY0QxQqf2\niSlxVGRSRUTsnbSmpg5qj2rPwMRMxuSDuqPo6R3sgySvFd1BNpOmyFLkLWIy7PIiJne8ZtwB/ncV\nrG8HFGBLsRd2YAtWuFomqUu7sIDdALFjdwvYwC6s63abn63ryRv2+2wpT+ntdrvfzm67yg5N0Qs/\nGMnGtGBSSoQH139izX5qXrHlwmNeqWIfUMU2hdXmmc8v6X9upjleWuX3ewsLgBpSGud1M55dGoks\nfXYG/9fjC0N9zRVGtdpY0dwX4pOYv/TdaP42ZeMykHdUySVvVU5AlOuETjcItfpQdkvOsXr4OjkX\nrCF5qPI4LluCKzZU5xKVboEcAukEuxusUnK/5Pusy91Hzv2aGSvaXYlbnau8UomWaJVbohFL6rBV\nR2EXwUPB48FzwSvBW8GJoPbxbduUfSfpkCv7bGpF8lbVRJVAB8CQ+IkvGT9YQ/zo7tsoIl8vcWoV\npqaK3KAxWJET4gk4scgbGoTIk4sPGBFExJ2CdXVCcSgCWQL5bhvIOQh5EA+CmIUxzEcXuFkRyDaw\ntD0gG+DEG9Pf1isshXzHyhAnXkfigQr+2eRT3LNY1JbBsdML8jJWtu9ivftj7qccllXFaaWiNAiB\nZDXSOJar8XWu4oLlIMjc8YRMId7Nh/hG4fri8V/Hx3/bL3ukyD8Oo2eCbRYJ+ZLI5GTpCibVcUbA\nuAsyUhFsC3KArnSOoloLwNDYS3MF+TB23aNoMJDXQUbJEYsOhIs5uV3cw/oWbnxdBt00kNyg24xp\neIJtj+jZbVR6cvGeZu1PtaniqpUqNmG34G3ugmjB+XyMwBerZUsIPKa9WtkNIRkEWPlSKw0vGF41\niAMQXQszUhyq1QlGRorYOXsw8wYx85Zg5lGS3zaQEyBjxY8NXSQuRF8ln+yI31NsPNJ7IP8MopL/\n9F00cxYImilHTPyzinyhiCdgXEuflgwiddZN+Ax+QSFwjKTMBo+h1SAO49Qi+ox3cWMrPjtZleIQ\nYXQILriD76KBA+4TdO79XJx5BA8lJ0UbRJ17uTANCvEhh9o9WlwwFGeB3MPzdTAj3sUHjYNEQWxF\nYFd4eoQNGvxPdNP/Ql8I0nJJOND/y6WSIC39Zf8a8md+ZYpfk40lDZtrG+AnFo6Qnzh5SH8cAudx\nTIdbmASb9Ntw4E204r9heJwQ05h6nB49KQd7yGEob4HsBAmyd07wmVjRNn43f4g/zp/jr/C3eO1A\nzNTJL+EH+fX8Jl75m569E7pMy/PUqaqM1I+uuYTQrwJOZVS5VEFVTNWv0gxL2/GR1JlY8aSD+pz6\nivqWWjcQMyN27WH3tWFY0sgt1WM8x/KUoLRBnZpJM+jlQZCLOiQoZWKmoDam7dcOaTdoN2u3a/do\nE1o9womy2ye0ae2YVjuAuxkysj+pE5/lArb2InQkj7Vu0jd+Ii+dN5bHWmc15rnyHvWd5w3Lgefw\nl0tLEHR4q2ACE9cJw24aR4OPd55PBg7lgQlJpRiB58Fz1nAvgx3tx2i8A6LBn1pBvpezw8ObDomA\nT0saLbzvUh/jlMkPNZ/CyvlzWK+Pac5i2w8OuoLCozhNNhxFnZb0tIMJ0IvB3oOBfXj6OF+Bca5H\n9HavegUs42RN1cB5HNeu1LIDGnDhVSB3MMA0GHZtIEcp1QFb5G+J52GYezjEz3LLEUJiQ6ueZoRn\nQ553i6KbF0N8++jq27xq8NLl1bx46/f4g3zZeGL8+/yc8eP8N/h+GvMT/8rG/EI25nV8YUIISOfA\nONm6sg2xECqMABpsQ6oNKiWITP+4gDKBoiIktSAHATFFH4GkGnaDTs0SzaBmvWaTZptmt+aQ5rgG\nN1C25TAFtpLuxpAZBDmX3RoGHgVblUA2G5Sv/ljJWlKrEJgtdaNHl6mxCH9P/SP1XvU76pPq8+qr\navaApWqEy4Gj4St9gkmFeEGOqUfqlHpUfUF9Ta2W45qlN9ktmITOh0xs6WEi+vjd1X//96vH7/JN\n/J+MS/zi8a9SnCb1Ha3p0aycsp/yMvAaTFjRT4BXdOZ0hEOK8pCNvcxevy53/XN0fTDLdlJX9LgF\nEwqL9E49E84OmY+bcdh8yzxhxmGz0yzIgZw8Z2X3MiPWnbcwCYGtg+vBRwN4myXYWoLXVyOJhX1T\nPsb380P8Bn4zv53fwyd4+qbZ7RN8mh9j7AmahZBGDC8i5f/DXxIPoXA3aQM+ZD9IEGQMC8Z2wx5D\ngi100hUM5AkQJ8RySqufjMKn+KmHg+QQPaol57qkzQkXPhDMa4rcQZZNWl447CBxECwm7JvziD/j\nq1qrhKLxZ/k/Hxf4n4y/wP+rsOXLY13tQk+XHNtC/UjftH2K7uiltkkb8kh4xIjszI1XRM0BJkWJ\ncfmM/1/8GGfkWvh/kSoDYn0iYBxRs7kxATHRyQRGBLmUqB8kjGn2p4Q1nbAGpFtMkkaatDstBZEu\ndyWM7glPS3I3PJTkPhn+ginQIme7twSS6ZaxFmFghBMeJOqMSu57qfBAssinWNjjLIyjBS0xC3w4\ndS0Q2z70fuoVyEbzEha2i+InUETe0Z5EWMsdCC3Eqi4WfAKGvAXK2veQuPuO+SQblckd5n3I36UU\nrosgv4V35im4zE7ClJansVgsXkvY0mNRs7tYPsGj4dxN7ijbB/1zH7SuN8lOCkPqZbhSboLUBvnh\n1NbgruBBWE/s8K7YmnCoaVfTwSZ2yM/2kkeaTzezyeFvjjb3NYvD2aCI67kwHnqDD7CCfApC7f8c\n7YSNKAnDCRJpcGCFBeZmyw008IJVaRSy6KUbcOxfbrjRIGT9a1Y8OtU8yh4tWZr5Yc+U+JbZYou7\nWusLkwILx4/b6211T4nt55+0L+huMrl8pTWtNcWvPjm7tuu71Z2N5WoxJopCxZKoc2ZD2axVz9fd\nUJtq3dYqs97mjzirw/kbI4F5pf6O+l+WzTIV15oC/mJ3qDo6x6Uj3w4bf8J7bPx2ZHnS99nAtklc\nmPVbMAxtIXwizJq7PTwlDmH6NU/TNW6Ji+IaJGv2Y+tEFPJwdE8UWWK3WyfjvmcJLdwXFKu/FGtI\nERN4kseFc0zFBbvRK1KOajglizpMzuUysl2FsR0RIjZUmLQ4JmoHuG8xtm5jclSySHAKFDzqjoRe\nnvXc00LLdm5Ke4/l2vsctbdG2gb3/ZXWW3Df0ywKIlt0Wy+O9t7qFSZjJD4Ta9gcNXBl3FKxTXoq\nzPhl7Ck2A58ywmgqDWL2tYefwmxpD4wY2GQNG0eMqgeJdmOijNIZytPs5ERtOlEbSPgyUmM7TpZW\nNbKbhI2J7nSiOxAr7u8e6t7Qvbl7e/ee7kT3iW7dQGJeJrlnXmIea+GC7CULMAhB9iOBe9vy3cux\naiyHLrac9frYcoUJLGZTfbHCBOJsJ67sNLGdJoUj1LOdeuwsZnyHzfr2xU3yeyQ725e0s6nqbA+0\nC8MJQzrRZBwxC3ipkTL2w16p3jhSzS7xLa7P4ig01i9GI3+NtOAP8XJx40gXO2NenG46L5AMzovR\n29Al0s/wIssYSb234P0FHy9g0/OPF8hxBCshDK+FeHkS5p4UyDHYHg47T8GqsgaK8CjIVgIdANkI\nw+MukKRfYQpkabyEnONPQW5E2MPeiPw48laEPexSG3jN1rZdbQfbjradaWMr+gEM4NMgx0BOImWY\nErTXgrwOchIZxDtAXge5BMfnpR7IsEisPwxyeiHYCchlkAv9uAHIJ/3glk988gRmBb3jOiJ40STe\ncRQkCUYyCnISNpfDICmYHk4RwVvvxQu/BvIjvPArIEf8kwznBt77Q2RgX2q5juz21yI7Ivvw0p+w\nLpB+xt5ceh/kHaRav9a2ow35TziQxHt/D2Qv9QDIVuRVv8BePrll3k72AZPnu692s58LPdd62HXv\n4J3fw5tepdddiIzy/mv9MC89gQOM5AL6tFO4XmtraDKfGszO65vC8kKtSLnOogNRmjZ4o/DPpd7W\nqsqQ1/ILc6PXThxxpt/SZXKHXJUN1Y68Fu/aSOuQw/3sfLDEuq4nfOv5cm9twVOz/NWD0fDSYutA\nqGVJuIwvrIrUWqy1EVdYZ3LaiGXWzXTr9a6Z9Y58c3mRv6mxJdreBH4ZiDoNFZ5AmaEt6Kpp8dYF\nazqXN1U+lh9uIv5SnnS1BduYsB1En3JtSI5o29OWaBOnxF4JCeECV8Q5uW7x39hMTIQyieqMdALh\nBlyoGjPkc+gbH0FgYZNNzdT7Ivn4n8KTehNkKyOJkDExOyNtmM0PEN8JkYtdOuBgf6o2JqoysYKv\nV/1R1Z9U/XnV21XvVmmYOgIT0hcwZH0E8iuQIZAySxXu/yrsuztB1oK46Ghy1HUB0DVuuQ2RHG5N\nUD7wFnxJoyBd8l1OdmFpB5krH7iE+bMT5A6IZi6Tb2YzBpihyAGpn5GReewtO3sVNtbG+FObItt5\n2Y5X4VyU7UhKnLcNjUOwMzAJ0GNkV4DKk/AakTgtaSGFuelEKYomXwaZ2+bFgffRls9B1KxB0kvY\n+iHI34IUuefipDfR2VfR2W3GERO75V5k8JXJd3gOnfQyyA9B3kW82q/K/hmSimuumyKvMGlfRw8H\nuTIc6CojJeQueof6aR7dijFJsL/XoNYfJr8WwmbXaF+GYNUKNvG5DvhAujW6l3VsNpMW2Kuo4VNi\nv85QKBikl1UgFL30Y5A7iF19E7LLXZAtIF641ntBTsIhexiEhsANkJsQaXqRl3gdfPUF8NWDIGcU\nsSv5QuOrAIQ4CM5/BuQGyLFJKA4ssEdBDgPJYe8sjBSQwyDaTsjmRGJoCIhvDiM350KE3pLLzvgE\nzPIlCGcX8LZ3QLTogdFcfPTrIO9QNhfIfQrdgr92q3kXpLYvcu/bA3IKr/ox3vIlkI/wquTh78P7\n3iA5Di+9F6+6BmQU5BO89JrGl9lLp/Y1phpHG2F3x+uuIa8W3nTfLCxXs07NQqQBXs5PBC/XB+LH\nG37E3tBUKOa4oEiIaNi1dogmq3sKP8yF/MguDq01Ehp3N1UW2mpbKioC/ppiX9TfMLvYateXNvrs\nm3aveW7Gc/EZT8yucTTMdLlCZcGY190RKCtvaCv78997gn+m1O2bUVbZ7C41lnst/O66UFuwxFdd\noc23u+rGt/zsheicspYFQV8sVFtU/VRTbUe9xVw7y+eONLgLDxyYKlvdyPG+vyXe94bEzYIsiE+7\nCSSI3RPoju2z9qA7NkHU2oNVI7hAJsMSB3ICu9uBRyO5OnCPDrAFtpUc67jdAdsZtrd37GHbybGe\n21h9uB54akBcPfhjzx4cDfbINnGunzcJ85m8qeFek3iOaVg87G5JlxCEyClmpN9C4ldxPHmrobwm\nA5pOjQBjmfQA2jAMudykCQHcSJ1JiGl2EbInYvq/Vv2dKqP6tUo1IH1GWZdTTW9DKi3lm93F2L2n\nYSthyEQ2l9bg1Y7jxzuE98aX8OvG34RsvIr7VJjDf53zcF8yZpcwZSD6mgAkIMfJILQNbfRkpB8r\nYg/2fRkuoQ4kCjLQp0vSiRK2bRyxCQQj4RIonoIieVlDYvp3hJMCUtlUAzH9YfGUCO2NNX0nLA47\nDeTczbqHccYRy2nLJct1CzsD0W6xAoPH4anzzPTM96z2aIa5mP6ocEa4zEYBzj4qnhEvizdwP4AK\nJHcaDhhgxE+ZR80XzNfoju9YTlrOW67ijvdwxzwE09V62jxxj3oYwFLDvAzB5JPj4LS+DhGjPhsL\nFxHm5JVV+W1Gi8VRYg+XF1c6TNq6Rw/xcWNVWTGvyTcUVhVZ7Yba6bvobyc/xP93ysEchem7nqwY\nmVRQiAn9gjic3CBshuvtNtCP8mG2TCLXjc35TsMSw6BBHJZEA/A5krPEBQBjQAgY7qHKSFdkc6vU\nDKPCv2IY1WBrN7b+AWQudp8EKQHhyL6XT4vCZQ3l0cHoqu/XDengRGCd1a9DLl9GqkN+2wNwwdlQ\nsou0TtgDF+Lo0yC/wp+2g+ipddI/5DAeWmBauk1IHY/momkzSiLvElz8JghHaFNs4CfhgoGOlkaO\noJCRzLDOU2bMN0Ei2P0cWypsQY3OWjt76c3oPtKPYQv9TyB4R2mZhr0RU+0MBJCSR9AZ+WRyO0wW\ncZhSj2hOayAtU4L9aZBjlJODPFRkKZ3ViAOpg4ajhjMGccAUsWqtWsRH+iLW1tCD75t/sDr4zDPB\n1T8wf79daG1oa9hY861v1WxkG9s4gatnMtjnTAZbyH1FvU5qqWMjoM6YmJuRtmHln5iLr5mRbisJ\nR9J2SGI8Ywu8/J3bM9LediazqJkaGGhhr7mHKRmJFuNIgZrMKQicaTEmXOmEKyBthwgwxMiIk52+\nkGtHhyxqJ5CIucaRFezgAB1MLhkaHGJfYfeQ8okC7BMFFCmIiaEjHkhBAWMinpHScdwW5HYcrQJ0\nHkLrY5lEND2iY5M/QAzkNvKauRJjiatEBHAiHNoTbLlLFZU7ywPlbCw7PQG0xRmQhqBntMfiaOGC\neAxHmSr3JLtXzDiyWpDzUmDJuk8E1q7TcDQfLDpahLAXDLD7IKvgDF6NLQO2PsUW8gslHcVdg9zH\n7o9BzoKU4ZgVAdWfQ1DZh6X7ldLXSxEjXmotZQOdsA1PYhknk8wamGT2mVNY3DUIxgqDvKKYlpIn\n7efhpVbbzXYPvNRrEIW2z55CpOkrWP3fBDkJae5zkDUg+xxgg4DP8zrCDtVw8nXHmw5EFOKPZmQf\n7IO40IOtNrh1v4C97h1I7oCQk/oAqtVWG6+Fe35GfAY6BTG/KyE8XAfpAyEVdSZIaTObyWuaX4Zt\n6HVEmphb2V3fh2lhB8h+kPNQ3faDLO9At3S8jiXxNBbTPpDLIFEIk2dAbnYBjaK7rxtiDxOtkwd6\njmBptGGZjPb0YfsLKK5tvbgDSLgPEg7IfkZS5+dfnf/5fCbajGKt7gXZD3JsCZq8DF6TZWghyCiI\ndSU79tkqtpUCWf4MlMtndjyDvn4Gr/4MlvYPMGpWYixcBzkKosf4oOFyFruUsRYFWZ0bHwbs7sLX\n95cyfeoPSr9Z+kYpa5wDKCkzQfJBCEnxMkgUI+Gb2PpTkHzs/ghf+3OQl0HWKvJuSmu32n0YID/K\nDYVuxJK+7HgNX55AFTXAGAmDrKWTMAa6MQZaMQa8IEcwBrq96GFfnw8KCYZCtLYPQyEyoxdD4SKG\nwnmIkOGGHmjr1zAEVoC8jG8P46C0Fls0FKwYCltgjftx+C1Y4z7AYDiIcfAByCoISRtB3uhQhsJZ\nEMKYO92lDIobIL1QtLrx1d8B2QdyB8QCCSrSg0b19vSyp/wMw6AV5Cq+eQ/IPpALIHdAjmIc3FwK\nVo2vb8OIMGMI3MXX/whffAvIRpBdIKufgQAkapiIa5kas6pAmoSmgi9mY3mqvT6yhOYi3kNaXAWp\nme4hBNuWqtT5eY5wfXlwyfMtc762rLl52dfmLNjq77TNe3KgadGWNbNmrdmyqPtbA+FAd391ZY1K\nsM6cEVtc1bG81TPbyO5lqTDWdDTYW/1VbXU2wTt+raAsT5fvmb24LvqVed7WlV/v6Pj6ytZY1D+n\nwRZ9fsvixVuejzY8OTx3zgvzfeVOm/upuS3P9zfVNC42e8qKBH/nAndduD42Pycj/0VORv4lyciV\nEoevGoOicAKWyO2te1qxzAX7sr6B+MRnwizhM87ENfIVUlUjW5tkxCmkDDWwhYUtmg3GhDktJaBy\nUCBnJ8hgUAkuokTDwqnBXIoNkEI2NQ+r1eVkA4TOXAQHQDnpthdg/YfIBmsOzPT1XkR7JY/Vn0XE\n+E3E812ulwFydwkHmbwkQ1MNJHeJB/GzQ7sPyZ47dPuAQrUjfx9yPncU7EPOZ7S4Dzmfu4oPIvdm\nFcIWkH2a3FVyEEkbgH1KRip7EaCdco462akp9yiCriM1vTWImkYmruehXFE+VBySJUZzNtLI5za7\n+d/aG+f4/fOay8ub5/n9cxrt48u6BOOMYMgaebrL4+l6OmINBWcYha6bwLWtaJ7ny/4KTeN/bKu2\nGDxdq1tbV3d5DJZq22KyZasnfsN/lckPIvfThIgMZQgHE4hELeKdvDCc9fFPQGCBoZuwXB4DhaM4\nrZQMquQqbh2MGVsp7PUgd5Q7w13mbiDs9U3owW0CjvcJq4R1wkZhq6BmS69wlHV9zI6+XyWuEzeK\nW0V8AEUgz2eyEa9VR/nATOFvS7+sN6H9T0z8hvsBG2Mi15hQBRC5mG0tk1ynNFMZQgpAHYHyuJ9o\nbxc+e/AF7pM/8RxfLGS4AJ+XmBFIDs3YMEMgZKAZlOKXh42RCjZmS+hQgMm12wK7A4cCxwNMrrUF\nKjDQOpswbg0BIFtxBk8WzmUwi/+bJ1DQdoANTBtHcorHOFJDokhMr+ftvJ+P8iq2EBMkFfpHj2Rt\nvxAV2NF1kDa/aMBRQ4Ojoa5hZgOg5/SN9kZ/Y7QR1zViZUI4RUyv5a28j4/wOEUjWASvEMZNSIMj\nFJh1MAncpdvpG+wN/oYou510r5EO5O5pag63yoZMMw1P0trNlaKZBioOMkYHnOX86khJpc8caysx\n6wVzRaVeX1lhFvTmkraY2VdZEqnmO2a2Su5gRUF7ka2y8C9qmioKeIEvqGiq+YvCSltRe0FF0C21\nziQf/W8nnuPu0bdwsHGVHBTXK+FebHzG9Ju57RyAAFQUsWPIwBNawkRPK1eCTq0gf0UNQZ3NSE/7\nJgEPQewE2DcJ8LLHUP4u7ANy0z6I9PlD3SjVCNmgniT6EwlsOLAWfblmsi+1DdYGX0OEPo260dzo\naWzFp7mDTzPtI9/DnXSCDXfy404zQQjWZ60fd1I3mBs8Da34Krg13YLdv9Ha6GuM4NNUa8xynKgM\ncU32ldZGsVWOJG1V3HChe//upxH+o5+GzZM57Nt8xL6NlvNBXweuXBoquqB+wAGwRQU0FupZRP+i\nL03uYjZQikMfDQ399KfCvgefhcVX5XtVsXu9S/fyJzQBKYboPF5NKRhaWCc4ultg2t2sbNq2sn9V\nuNsaMT/8YAuNmatCjM8j3JgzEqdBLBN3HJgjJzRpGELkWwLcMMN9iw0qG7RQYBRldc8UfgJaMTuk\nUB+EqRUGpyGAaC8tQBFpmqb4Uf4Cf41nc34/RkjefuGwcEq4KHzCOFhMf0R1WnVJdV2lQoi6+oj6\ntPqS+rpaDd2PzgaLky0N08+WDqrIaJG9AAcYm+Vlf0IIRoNwhM9TPdHR8YRqhnam1ztTK7zX2d3d\niYpoFEc9yQe1XE9CBzQmREFOaGSFSksgKxrg5EwJnlO4oobtaGTcP6wA7DR1Rv5wIuvqH7TjP/bi\njeO1479i362PG+F/LpjYul4gGTixnpOK1GI9u2CayNMo9JUHYx5PLFiu/PK/P3WP/XJZ/PTf8n/P\n/xNXJXRLVUB/XW9nSrVdDrFZDzt/Ech2GbIyUZxOrXdvcm9zM8H5Fgydg25Em2BrCcimHEBlJXuv\nSkVgKGU7pWRtryyVOXPKxQW5GKB9Kml0AZ2wgDEDY2mlDGCQBFSoHCRwDMrzv4H8GmQ9wjAITe8Y\nyM0cgOBNzOuwugfpo/thJNmHKY3YMKkVSmYPyD6QA1ASjuW8IF8gveFD46eIaF4PNeFdRDRfKL4G\n6aK3eAUCm9+FBW0popuvYes6ZJljIF+AGBB8MB/e/LPWD6zsNn0Q8+/Dkn+s7Cws+QYI+kdhIL4M\nch/EgMDv+SCE50+uuXdh5V+BPv8AW0Xo3/XoVUqJly4p2Soyig6GqnQAr0ngDfvwNgThj4wNKY53\n6StGwmDxTYhI+RCRKLxzJd7kJoSlG5b7EM7oXQ5DJblLuiladTiXSnYXiVInXedztQeeQgtPooVX\nQdTYvVglYwx6ZWEqwiaOVaPRamSB3GqxWPn/Xjzbx4Qnm40JU77ZxWH3ymD0mTnV1XOeiQZXuvk1\njhq+vLm7tra7uZyvcfj9Pp5nolVrKxOxeN7nl+PIPhJa+AKyyW6SOJ6N2U0E2garCllnpVu0gA8K\n64VNwjZBNZADcVLxXM5OK40BnUbfrxnSbNBs1qjI3nYLEta3mNxiI0EMF04gRKVIdGId3IDgOhVP\nYY3qNKapj8l/oT39X+166qkuoWX7iy/K2Ow0p7r4L2Rs9hPQ2LYzAvGlIy1pazpkbE8Fpn0KQjsy\npyoyWZx26U9hGHgLcuzRyjOVAgG0tzIhvtKY6GKthQd5cJ4y5Qh/XZlyXWyn6yH89a4s/nqXjL+e\nDDbEmP4ImIUgm4FdxpGZbAbO7iIY9tlsBs5eMptmYBLpOuz1oZ0mz1RfRjbjEfiMzzKSOuI77buE\nIhPIS05+2PApu2fyQOORHMb3LwD6HW7ugXViPzLDW6F39uTMEfvg5OwFOdKOMQ1yE+QXtDUb8xvk\nr0GuQkm92AFxi5Txk1MMMkcxFM+CTG0p4fOfAklRWhHIKZCPJ7HJ0czraObBxqONsLo0x9HaA1Cg\nD4SUhvagjfvJ742WXQXZBzIK8gmadxnN+5QR638EGRxzQvvojHE/+J2w4JFKR2NuvoQfnU26x+OB\nL1AZTFPmkf/ReUaYij7un9kMc3KdkraQaYy/Y1QCTsmZmcLm5WGWKMrAzF3Mlq//58uH1v/Ot+vw\nP775S2mdXTxxhP8XoZyr5PyCSVIVAU+Z8bqUHC/KBiBQO6UTIPoilQx8nUzrx4BWFtTH8LNdv4f9\nJHQkOumNCX86UUp2Yyuh2znSqPJRo3ogv5yVvZzV8FDYL4lEMjDciayZWpchGHJsMrXaCqBlUEsG\ntCwjnQPIs9U4UsmudNLj/GSmpqULgdvJ08IlqL6yGpb8QLwJbrMSgIr6I/mn8y/lX8+HB4V8kojE\n14OpXyq5ztTcJNAm2c8R02mUC7mHaDM9LKB3YYUs0DqsDp8j4uh1rHBohqVdWJI+LPu0DFeUn0ae\n80Ew+BvllEQF5RPuHWEgtUNA6hBCPrJJ2my9QNc+gLiUl68qV81QtasWAgcUGZPSDeBtH8s/m/8B\nILiPUlMJKIM1NXWy5HzJVSBiUijOSbRRjTamsHUX5O9hEvstNVl0mBxuR8gx1/EUmoz6JMlLZdex\niv4Ya9MBNHhyKT0LAi+zJyxPH7MbsjjJ5CGzPMN8WtlLauX7a9qKwq6lDcGmxeGKivDipmDDUle4\nqK0m6ArVmEw1IVeT4Lb5vbXC7E61f87SYHDpHL+6c7ZQ6/Xb3IKgcQU73O6OoEvz0Fr0HUmDWNhN\nkPo0kOUIZ48tMNwQt4HbDJWJqfe38Mk3o78ENcV0q8nfc4tk0EHVetUm1TbV5IolC8y0BkGIFCEd\nJovUTog4E7jLBrhHBFEtR4S7fVp3JMQXYDX6ar/Q8uKL29m8WTbxBfc3/GXC6fkWSehSP1ZMeCaS\nHGfkhOFYnqzXIVdGPZCSA28h42lkV0U+CbAlaekW2O16+yaw2wS2Y/Z+u5KrQxYjw8OhtPpMwmxk\nzCHYFCmV7XDgDcVTtv+m0marnPovaK6qMrN//FeyG1n95xvceW6QydmLCO43IwMr3wOmso638bW8\nOJys5dt4Nnrl2GJRTkwWmIiJuBAFCpejSOMMYbWxi62sz747d+4T3/+UUnw4+8RvRK2MHcctEH8i\nVZaK9alNpdtKd8Ne7CxlU+9c6RX4FJaUDiKLe0yG18Y3nyBvD0y5Y1i6E5Vy4RSm1hC8ZSmyqJND\nwQ1BBHcE2Z1OBNPYjrHtxMyM1I8qFRtmbp7JuFRtOjHTmJjFLoXzm5tlnCUMJ4LkYSLn0ixjYkFa\nGkLQVBBBU0sWDS5C5uCiQ4sQ1rdIkQumla1Sgngh7WAEpTCaAmoRQj/7SOTeS3FFxiJXETvmNibq\nmYgCK91EPVWESLRmkmOttxH3OKuVQvdmBRKtTKxhl3bg0g5jh6tDRMkt+Jcm4nhE3BkPxMVhaUF9\nK65YAE/yJIO5AMtIL8jnkLUARAsdn22ndohIV8Q5uTJVADOT4kDF26VF0iL742X4Gr+ARunQ1jGN\nMotZn0LZiKOIc6HCEV8g9MWgc+jqdKwpUbCrXfkH84+CXV1G3Md8pbRQalfBwYKjwE+8DA72BQ4Z\nChwFdQXsQhXE58+hIJiLPUwzSO0o3lecKhazeeAREDWk6zBcZjtK9pWkwPgugPH1gqzMJUYuB+ci\nvAaC8V4OyeUayA0C44GJ/3TDJZj4VzLZJHWp8XrjPYSKUIzMq5BNVoFcBjkLchNkJeSVLSFcHLoU\nwpKAAxtBboCsQCjja5BnXmtD8kBY6IGbWoXOJdD9HiUCW4qgTyO6Xphe2wriiMYmHEBdDuaIcP90\neN2Z2CKMvxUE5UdlnvAKZxou4xUowHpVLsTnPgiJhyvQ6FcYSZ5qvgip63shxCiF1oReDsF5hDbf\nwetcDH2C11mWa//rrP2mh+ArtA8pwp6pCOdsAXBPB0Ff1rT8a11dX1vepPy2t6/Zsmjh1jXsd+vC\nRVvWtAtzip/vDj0501UZfTJUE2uuVrPR1eJt91us9e2elh4dPzT368vY9S/Nm/uNZcGmZS919299\nLhp99vUl2V99fKl79lNNTUvbq03eqLeurayxo8bd2VQxq57kmkpunVAoPM34TYTvl6xAUUNVMmkI\nJOaXgdAYH0sCw4J1QBqdnAAZAolZZenCoH7ASa5m5CWyDwBMMITkJpohITVvbt7ezJTtZjLOQ6SP\nlPaCg8muz2TE3IufsL0HjH2f4taSredZcTrq7oPtvM0bBzgBwIoUJ9Vb5K+sj8OifxS84gA0gbZA\nPACZJnAUNXxScFNEWnvhplAeHjb3wO96GO61I3hcFkblrcpjylOlg3h0mzs+5dGkehzAMyP1vXjm\nfjwuEujFc/ZNPkc63Pro+PBYLFqLBm5+2cJDYEgRbxgufzlUNGL9vfLmLq+nq6m8vKnL4+1iMvIr\njnKeL3e0zmitWlRbu6iKbTxyhP99X3eosjLU7cv+DlctqquTzy0rk8+cto9vXzvxmVCW9dPEpdKq\nST9NqXHELPtp2OrZkJaCOT8NXDTS8aDiCyAHzDTXzDSnjeKnyeFGPs5PE9Mfs5y1fGC5ibAa2UUT\n079Tf7L+fP3VehXpgD8S9kI2/ZG4F26ZsNhDThrGggWlPk8S7BSnFO+F4SRc3IOfH5XshTMGaDmS\nvpLPYuUMJ486zyAUW4+MdiBjJY+6zwCyTA+LRxQkDkyco4ikuw+ix24UBHE/kt4DpHhwaoUrzcQj\nTjv5gchD35x3t7qnewatoeLQBnh0oAFBE4JHh//5f8yjM35r8cMOHf4PmXzin/iOIFLtgyffFtUa\nVT3Z9NJZN85tgc/aQsn4SQZB2cw6NcNQ4vJUsoWMrGIa0hb00BZgyAWSQ6g1xEf+7u+62P/5e+1f\njgoz2/9OtuU1T3yH/4Iw8f8ze37h456vlquQEPyOgShb8lG4BhJeIex7HAyYOSgWapFJN9kiSaUj\nHBZVYEQr0OhUUdUaEUjsaGux0lb2jwniZDCW2/wu+6+LiKBqH0+1nzjRzs9vPyFjUYT4ffyAkCaZ\nKyWVVkJGZYJWVqpaIqcyQYwifMnJoo05SF51BsKKPZPFBiJ5k6ewnyTsvuAMWNZGQQgelyBOTiLx\nMwsPdxRj6CBWsTOA5coqY3IxkgO47DQICuAkDxecwhWHccVeKjNYwv+7oLN8g7HMYzZ7yozKb9BS\nC1iJWovyK8ya+mf8Tv0r+0VfTVwVlvJ5wjGS5weA/g+7cSZmkg1ZMoo+bO9jGj0TGzVGDeuOfETx\nJBHAw4R901DJhpLNJdtL9pQkSk6UpEvGSvRQNcwBG5R4kVgOBp2pJVtaF5xyyvbecqu1HP9OKBvC\n66VOZ+mUf0yOXsytEBYKWmpnGbdZ1jygFCWhEwmK7pGE2sH24FtinXoF1kzYzuWiD5se0kCwbSM7\nuZ0p4ECUGQLhMPe3V0CJtTsYE7UTkgpTPRwEV4bR4Pkd2oe1qrWK/6OHVZAz4wI//gNFDwlkN863\ns/eqn/gL/r5o4xq4MDdH+LZUDr1vDKhB6fIxaNQxiHSbQYZA3GoCOHEHpH7G5xgvT8xJY+aw8Vqd\nSTSmYXxgU6g8G3w5YlITkIIvnfAFRmrZDuPYIRVFY7Yrpolp+PqEDwzz+pwCBMqjhOLEnKzH7jh3\njrvC3YL6WUBzvgDw9KAmUBSqTcwhvKw6K1PUB63rrZusItMirIeYrJE1Zyf7rKusbBRVUYuryMXH\naG0mubl2e61A1awa2Y0ayO4RxmPD58JXwrfC7LEWYyICppCS3criQGqddqN2KwT3F3I1UrWI3dHA\nXr0flcJSxaPFFyBTixAtyWhAZve7sFifNX1gYm36uemvYPDYSYFekFgoGhuxV9LH0L1+BPI5bKcv\nV74GseJl52tYcQhw8TmAKb1WtwNgSheALPQKDhyuO4UDVyHDrGwCE0CbEX6EqU8JRRo0dC+s69Ra\nqt5Kgj8xg9+ikQRPdxVEi9ZTCdLLILty9Vr3o6n7qYoPWvkqIuZQ+lQ6yZqRerkOLYO1BC2j5q0F\noaKWK5AM+A5SakYZMU1aOrCsab1ebXGlKPuK3a1ery9SKYYiWAvDXp+YNYKMV3dH3FXhbk+wpm2G\nu7DNHK/xxGfWOCPz64M96yvbjbW1PmPQ1Ogr4xdEg2UzXCWmqhl2Pm5wNnY11vc0V4g98wptTmPQ\nXcWPf15Q1dTdVNfdXCnO61J11tebXZY8Pr+yyROaW8KvEMzVDQ6Ht8KipzWqW/gK93NaI5slDcf0\n6t0cvIVsUMjcS1Q4VkrmYCL4kp7xJTEznR115zjPf1M4Du6/gtFd/PtslvYwJT+JSFxheERUP5A2\nw3gVU6Jok0PqDTCijKmnQVooYpSS7S1X8dnV1cVuSesU4nEe8GOcjvPwp6QaB2Y+hJMTIBwTTmCh\nRwWhfqTPOGQAf32aoLbZn+QZLg2ycQHwbyrB1Q+yHgbpbSBjICdyZbmcrCVOw8MynJOcZkx4Mstm\nTuk24nM5PT9MMZtm40gh+3Ox2Yk/Fwek7cVyYhyVTqGQ2v1grqug5Mmw3yCEDt8Dsh+Low9bvYBD\nIOjF1cD9WWl8wcim0hbjTjjLVmIKbMRkiFiRGGs9DWYRsfUC4Odo+ZlyWBkrTgMtMQoGTcot3EQS\nByzDJVTW9wChjuH5kVxLsDgnw/k9+ew+1nwf+5Hxdz9BQ1ZgCu4g5DWq8WiEmXSFca3xFePrRlW2\nLUetZ6ArUZoG+bEAfygdBtGiKRGgN16oulYFtHhZJdSyqSJb4KcFkZn5ZH/c1d5QJojlje3u1kWl\nobrnZ7asinlqYsubW5dGK/nCuU/Z68IVYXdHg6PJVdfaqMiG3s5lwUol1+EB5Xmty+bK/oSNJx8+\n/rC0HiNgCUgAuzQqOAQBbvBu9gq52ooP3+NpukclXZ4MeDu9rJe2g0+M1aFfb/uzWEXydcdy1z1H\n17XRc2L6Q97j3nPeK17WcRtywzEInRwYZuzvbcfbzrVdaUMIedu0PN6pbdlE93RI27M663ByzH/b\njzXeb/QTcoDIhdk1d7Iy3iL+r6XYfDZ79qDUahEyWjZjawgkxghihaEGzTdS1bAYFpFEJDBSSsew\n0jQEpD0N/MBIJZtt7fNjlDIGP8wiefvsImUKTcPR7mY73Vgr3c3d8qpM2lA3IWhDP7bzD6RaNaVd\ntbuzdlVJi1D5FflrgSsMmOzkioK1kACBAp1cWfwCnKuwyUtnYRhaWfICVB6IkdILYOjrAhsDWwNY\n8KC/rW1hh9a0vtz6Wis7tBYpTadms8vOd1xFYsqKjrUIzD0FT9L5yfK0yfNdV7vY8ZcRh3keEeYf\nIOZ2Y5yd8UH8ZpydsXLBC6jI/AGSe1cufGEh2gDD4AcLby5EdCBhg+gx50/m8P2AhyydgplrBRYw\nWOvlNNIVIGuU9kqj8G6Nok0nFz4aNCc+tK+Vl6VctpFS9p3mVTjC/6XFF612t/ksFl+buzrqszhM\n1Y1lZY3VJuX3A6uv3OgKx2tr42GXsdxnbY97Zj/R0PDEbE+8/ZSzFZe2OrO//LqyxiqTqQqX0u+3\ndc665rK67qDDEeyuK2uuc+oE43M9jfNby8tb5zf2PGdk43F44gvxFW4Nyadu7qdwa5VAkobcZFXM\n9pN28THuNpenCK0AUMjHaflD+RvyN+dvz9+Tn8g/kZ/OH8u/nY/T8o2Ma0FpseE025Btg22zbbtt\njy1hO2FL28Zst204zWZkvFIazNV6KGPjswwsvigNQbwMCZgJc5rE8akSrPp3bIuvKBLs+NuPbimG\n9Yf/cTK+1TnxOl/MesaJ+CKmmaqN2bJPfJqTBLjaxwSwAA8TmcXrD2zi9XNdnHIt/xldW04XBqZc\nyAvTLuQ/G8/nP6MLBaYjjAoL+Z0UO9MC1VNAFCT0VIEQoXg5bEarhBeSFisDJN6mcnC8uarVw/4J\nCyGws39Ce/uO9vbsWi1Ui3mcn5utegKJCeoisT65ybmNSYFsBU34MxLn9FOUKpSS+dxq4Nu8hu23\nuXehi3ydEKaK1FQYCba2X4P8HORDEJd8+acweD6NsIgPsFXhojwc4Acn91WkKuSnudPQABAvkwRG\nKbu7Tz6PfNGvMQLfY50s57cwnrYEKWwBkEFIe50gm0A4ZAKOdWLE1AQACuAMTEbZKKJCrj6irxZC\ngPQynvIeyB+BVDhrcTSD9fAmGvpWxTEs05yPoikJnsxaipA96T16U/n4dbzfJibrIJQSJqqoHLL3\nPM6PIDBnK9Tlb0Pt7hGXQ3TeAZMyme+1YD+ElbEV5CbIUkhlpJQTasZbIK061kejuguAPqMkzR6q\nN4stNTKQWkEAW5SM5vXlAUcdjEyPgjbR/D7ICmdy3sczYGo5l6mMkEx8mVI79ZDP78D8eAfhLyhL\nkvym7Q0gR6+0s9tttG+FPfQgpPU/gIFyl+Mgwvmp/iZCfJJtFfEK9sCVkOJ3onPeAtkFEecuAqK0\nMGT5yJoFkoSY+DxVDgXpqUF9AW8PrJphLP1hiEURfKBaFB5ZhQzSd7GkvjljMt7/TcoAgRqwC+St\nJvREc18zLHDNB/HTFo4j0v8AIv13gRwFOQCb+S4KZEBeZQRepTdn7Z/FLnizfX87Voi1GPyvCltg\n+CBHC8GSrwShD0c1uI7hSxyjNGF0MWlnyxEAdZWcGkBrfBVgC6/at9izPSnFEQ91Jle7NF422Xe7\nsiWAWetdBxFgdAC992MQB/rs39CP9dhaANIO8gxIIUgvDIJhyCzUgb205QNyv68Xtuk69OPT6MfT\n6Mc+JppIBpB9CPzYj67cj15shcSzn+I90FfRXK/Nz3XdAfRaFOQAkzP4SlE7zcJjsUYaRdmeDAha\nKxNDH7ZDDjXGmx28LToUD8smxvCMnhqh1OP1W/+w5kVHwNLuCFrX1I6P2BvmUJA5BZ3PabALP2z8\nyrMvzmr4yuImRbQsrxQ80WBdabSmzVZb5DH7za3ucddDpkriseT/JZ2riPvm2/mqAlU99H+q3xfT\nK0BLquH/yLqXvFJ8C8KOEwEI64s3Ybs/BwtYxJhO0SNYSvoMWyqne399TKvKeX1L4nFlXfpPgorL\ntrmc+xv+GrX5/3u7QJXP2pxvlPPTkku4QSzBGjRX86jV67YmDwB2TI10aYKamKZfo/l32j1N96OX\n0MkRmdmmT1U8EQW7bErT+YTS9i8fZGuTMtIrcpydO/E2r1ap6pNAwEImKNzVHEDbTmSD1WDbJFc8\n2CAHwDa56CxFsWD9VGdAtXJZ8HSikH2w/sKhwg2FmwtVdAdbWupEaGGwbBpYneICoELOhoci8FHE\nmUdgbxqpvVpC5C+RGXlcQd/npOV6VGDK2pxlS5k26zwzh/jq9V3PPru8t7CiMD/fUVBWXaJZz+8c\nf4Hf2b55YIlKbBdVJVUz7K/Cn47++CXrD3xLP58HDKrb4BQcCjoUZlAAcVgpdw8Mv4dGn459TCMn\nx4tidGqGASdepH4ApxfMY8WPxNxUZpInKtPwIQXhgK+ltd6F8iXkykYZJipyJCXqp8ldSq/Vsp1a\npddK2E4Jeq0M4yF1Tg+wNHEgltepX6If1K/Xb9KrEbABkbAgjYcVgo4UY4WkfSvkOKDdwI8St69E\nwITUaweW7RTBjU0J7e/s7l9WlpRU4l9RV9eeR7te2GIuKzOzf18+y7/f/rjPQHGJn/E3GR/w8F+X\nDCViPRpck2YyxAjPpI6arIiCmoTSEIJmgYQHTDyghVEFM4NxpIx+shXEEzmplbJK86dOIHSYx0gA\nz2pPEUW6BCRBTYWEPoKMYCKxSqkgDtkHpkhknLNL3HQiaw3G5HksOstz1nsqBnkY5B3Y4gFmwT70\nKIHgYFFCSZjkaP6FXA2YNSCjBMUFQeBrMMWdx6L/CQiViZ8JcgDLvB6r1UEsSVGs6fNBrhOQ7ztw\nhi/XrkGKM61+W3G3V1Ft4qL5Ezgy1VkgjAFpL26lwa3ewq1QA4av0mZBaB6BKafAOFMV/8vxf1RZ\ng7bmJ2dV1cRWhOa+WNFbGg9Uz6y3OxpjXu+Cai2/TvjOeb2uevZTTaFls6tjHc66JnvdzCpPR4PN\nXMKvJ96J+fa3ImZeBfceqiPfRt9wOsIGlYJUml5NBZLV7EeVAVqsPiPX7wQtYSfBzgrPgEAge+Vp\naQNMlNtAEiDAoJbSTuX7E2cpnPr9H5s4lgt259OKG1JHhu88CryzZHmQgjvCJXsLVjA1uwrR8L9z\navzt42fEZ+M/+x3zgJt4SdAIaa6O/w4bfkifyAIl2DLSEL4ex74jOAvTXGppjJLnqdRky+4wdcyM\nOgS0zzioMyON5TrFT9dwCT/yJ+itK9hbV2By+GW2qyXrHJg3Yw9+Yg8VxhE3vXwqwvfyK3hxCoht\n8hXhdXherYJPEIZTO40HjEeM4oBky+U/67F1D5YHXbENweorEVt3D4KWDkJqraPNgRojbDt1pOx0\n2aUydvlBAmcBISCotSBvgkRQGGqFB+Ch3hVeYZhL7TDuM6bwSAsedBeP1LKtpKbYgqdR3SSKNtQr\n0YaqYekd3HoU5BrIfpCLBAyEh6wDAfgW7xbhms1Nh4iJfeQIEvCUb6zVhvj9r8xVl7ojtZb6Ylde\neYG10pQndr74SpmmtKbF21JfXVBRZHeVGkTLi/xXx/eUhWeU5RUENRpTpdfEPxne7myb4agI6vS2\nmlrjt2mOeBnREI5cIfc/UVViCfhcfkbajZm9HqQTJXsxOBi/E5HYNKJV0ZpJ6ieOMm5fEJDEAiXQ\n6vF1ebWFMlBpIAuHIPmziJIDKF+MW8txo6KCXnAeX/4aSA8Sk1ZQJVHYYslW0wZih92pr2BVgTDM\nOnCWQL7WqlY+xK8UPrsTX7MmPv6/+cpnhG+N/2HXgQNP8mcRq7hqYoxfInzM3llPpZpFxl3dvJXf\nz78bGu8QPnZ+WZa1cRsFKz/Gmbh2ISK1eFHVzyujIcGyvaSFbbcYR8rl6AQ2e5vT7G+J9nSinSm4\nUFivwE7UCXIcBGAs3CRgnMINyC5neMiHRTtRthPVyTUuwSTq5ViF0igCzpInS88j6i4FR8rHyPDf\nXrqHHUhEjSNWdlZFVb2i2ib/quIX0Go/BRMO1sM5lkoG3wu+HxQppgEhaOzPrRT1BELK6n5Eoe3U\nHgCj34klZmf+AcQ17Cw4AJtfK4b7PpBekDcx7xDmJWTju17DqkIwAmuxFceiEMdS0EaaDxShI1D+\nzoCchmYC6DUpDqUkCpJCsvaK8FqocKewfT5yNcKefzhyiv2kzrRfbr/RLiKMRkbwf1PcD0WbdLMd\nVBoZwzdO7myQH4N8A215H+R5kKsgrWgkmpsEwApeDS3sATmNxh0DSaFxp0BWQBO6BE3oDMgxkKNQ\nhy7B7HoG5AbIsfbJEAyfUlUou9hNQ6WkQIzWXOH7V8sCnZ6aOc1lvK2xy+/pDJTlVwxEm3vqTYLr\nmVBoVZe3pnNFizkQaCwVukyR31/S84cNtz1zmiocAXY6+61omjP+A1+gonmud2mwtqZzZSi0ssuj\nK3WXLR4PepfHg41Bjmo1fCZUsPWxhb8olcKodUiWxgmPEbGc0olsQGd+Gu71Usac2bj3cjAKJ7wB\nqdBbStZmQKdXyEcrAih0PwP1G1o3I/ZoSVgZ8xQ4XviQY2laCWHJp7XLIIgjXjaAi3yE5WWXwXe0\nlLaK0bpOtRGqwavwl6wDATZ48k3DfpTEewmLJvlDoiDkl+yGsiOnMUlhmD96cobdHghB78PoQZYP\nDdT3s9haicoA66o2It8DqRTJldUvVCvBWN8EOQuyEjUI5oNshAp9LYh6VU3Xmu4AJdUCzNQLzdea\n7zSjelWzpZmtIsm1qlfQ/OfR8lcoPQu6xsYCpcko7SWX8R1G4UTWfII0RKNGs0lRA8lk9XtozUto\nwxqqrIf4sO66ZXVCtilvMBJyF+esz5Qzmx1hrRY5FcHrbpXL4pEMsaPL3PREe21PqPIbM+bUlVZ3\nrmgtrCzMt+X3D744UBn2WeOh2nBVoeCa8USHx9bQVfdSnaCqifb6Wld0VInqqCg8s/Tppe0FFYHq\n9q7KxjYH47V3hBbuHVpfngOiCjDZHwd6LGZieZOIpOoBqUjkh2MFQTEm9otD4gZxs6hhmoZLVI6o\nhxOCkkbJZ+REccbKxJDVbXj6uVnCe9tlHXQxVycsZG3QcN+eNJ6qRQD6xIr+i/pP1T9X/5X6F+oP\n1Z+qtewBZrVH3aruVi9Tq4elz9Q5QH4ByQ2yBVdWV7MlalQZaQIqq5oXJhOqZINs8hR3EeEcp8VL\njCuZ1GZ1q8ezmEyz/2P8KaHlN42/aT9zButMC+fk9/J/w6m5PH7R2xqVXlX/NqcSmb5MCv5Acok4\nmC2IkA1WhtyoZ9JihuCcmeZKyO2cpDOgZh2shLfA/4AuD0FWSKeMBpchaBCHUycMacMYyh4YUO0e\nkpZc4ZwN1+XQyO9T0rGcI9yHLGEDHaVMMjkRvA9Z3AYsxvcpWt+u8quiqj4VjiI74r6ajqr96qi6\nT42jajYN/Jqopg+h9Mvhd7lPle3tWr82qu3T4hw6SqXs7Tq/Lqrr0+EoXuU+gWnZDX5D1NBnwFHA\nEK4EhDUwc9if8vx5sIDiTwTT/jQcu0+zTY9V64tY1UT55q8Hvv/9wPhF+rmdqPrlL6sSRPENZrNv\n8JfZb9D6tl6lYd9AVHGqemkIdok9RLAoDskV66FBwIwBaCYq3uYEHLwTFtnjcHHrKcDtNgLc8tIc\nexGxPnVCl9aN6cSBlFHn0gV14rD8bWT8foK0BiJ77sNIdyhfV8NbeC8f5nt4NiRXKmUdpqXU36Hv\noFFZVF5VGN/hjpquVFvUXjUSQdmVMCuzQ1qL1qsNa3u0uBn6/A71OYqme3Vh9Pkd6m6NwWLwGsLo\n7jt5dGWeJc+bF87ryUOdytVoxzLqZtxkGetrBI5qfR6iCepj3v+YrgZ2Mefk7lBf/+XbaqXeU3Ym\nAWl8UIuxzIsYy3gO5YrsRnaDzB7QgyJYgUiQcPcpvcTOyeMYg4DLjuOUPIxFZRAjkt4u+sWoiEO5\nAgGPHcYpefgy8UIuq7KaHYtgHGnv4KW+HqOXkmM52Njh6H0OvS1QvZiJbC2ULOwV+55ylor8ZiKP\nwUDcD6/Cu/gg2rgbw6sTrbolylEKd+jNLExID3M9eDPCYFfTGMDryQODXarGVXfwehbRK4bxemq8\nmTww5GHRw96MTQ3cAZUupOXsBAB9+SLd9EL8HvmNeC7OXuqy8Bln445I+TbIBUwZhK0MQFxsvG6S\ngdwAzyWloeAjAUaacEwD5SicKv4rwi0lkmGhF3RWSA4k3JOY/y7I25hbBdC9YTRCDyzHhDpFxecw\nSbYU4X02GrcadxkPGlVM9DusPwXEf/xB2gjwrF1FB4sYu82Cl1jMTFvOLm9md7xLyKuuC1hXL+8K\n96kbQ7VdTDv+kcllLRhcOX6RFxc/pauJx24jtjAptPDttG5puZ8CGWCTUqExCex9xo2FTHJMuC0D\nbudAtqcib/8/ALfl9PaUXCeErsrWDWFXqTJydOyjNT/YcqfCckcORQ1b9DROakhaxutWs39HZj33\n9Pjbs54HcPf27exberlzvI/8kW74I3nCQlRnsl7MTsysTnT9FLekb3yC589la6OxscAdEI6QzXIX\nU+ySscL+QuHfMVMWTzVT4u86xVQpbUaK+VDxBohiu5VaOlKsGEKiPjBpNlFGjFJTJwljo5At7UBV\nHdZn2SwFRD1kPzwwxUo4zSRIMRuz2Dt9QTEbL7CRruHmUMTGblRWQwqlINdwSMbU/Wq51sPExMRH\n7MyCKdc8za4pTR5SHcfp/SqsOrfVcpzJxFV2Rh7FmcjnPsfObYkV7Vbh9HOqK6pbqgmVdiBZpHKq\nhGH2B8shy3HLOcsVyy3LhAV/sDgteDK71x127TtTnruJ7ZekOK1R69KKrI3afm22HoUw8U8Txuy3\ncnJ/kbCwb2Xpt0z9VnmT30U9/Lgvl7DQJJc2u/CVqjZA+N0NmTOGvPaxKszw7FealhNKlh2mp9KX\nUT7V+mzNvuxXgm3HKAvwPWXLy4QBLhUvW1n2Qpk4MO3zKbWai7P6kC/3Mf+XqDPpbBWFqi7BGmkp\nt+W+7IMUL6hKKqqLBe+X5wxNzV4D8WXwsY8YHzPwf87YUPKQ7rhOGBjRqqmuH1u/RbDBFkyBHhCC\nFLDRwgbyR9h9F+RrWOeZ2FjCZJ6UWwgJcwXGYJdBAgpj7swD+SlqygHpcruACZ0QTghpYQxJ9zoS\n294C/8cikPxAfRMRd3+MA7+vppov0tcgRH5BGaWiyqRyq0KqucgoHSIg1IdLv0gih+D4JArYCXJi\nanKt+Aq2qXLyXqwkP8RRVPlRshLJE66wZeLRyudTKuY9VNaHh2E6eZH7BCEAq7FwWECACM36joIB\n1uJJlBi7EYRKRB/Bg7O6OJV0NoNo5Auu51ArCa3BA6mpVINiIaZISKt2+xAx/8Y/PHuDF9b8tquL\n5//+wvidO+wjKjGNhC8SZ+2XtiFJF1VVBLLjUkxjEmWXhN8V1fiw8pmLapTvP6krfItgZMArJZ7K\n3MT0dfxMfj6/GhLxv+HBwNHB5P0u/0P+Z3ySf49/n/8Y2oxAPipoC2oV0xaoElwO/5KfUkhOQYli\nqoKsIyRPaS4yhs6r1WZPq0dYOP4U0xQEfpy/d+ZMO1MX5DZ+h+JE1FwDJvWUYBBFNdBmuCynl8vV\n3SZhwgOzWJWwsH28gx//zgft2dpb3E326nnceXavJByEcoxoLlkii1lDKRrSZlhTYrC67YauOoaU\ngaGCDQUYX3xASZeYNsqUOnWxoun1b5iqpYfUg2OsQ1EAK4mKWEjAPa47p7uiu6Wb0KkHUkU6lMti\nassm3TbdbiY7ZwvSsMFJGfi8XBRXowXucLY8VK4wlCli1rLlX9saYR/5iSe62P/5s0v7nhr/z/zs\np/qe5NezPpjLcaLAj3Ez+PcTMwLS8Rn8wEi9msybMxByRFUBpW0gt0FcjBGOuFDJlyK/LewEKObb\nQG6DuCzsBDMbjojJkzYgsa+zkfXZOWwNgmwDKcKxTmy5sDXWqAxUPesyvTIxi9lOsWFqZyo7SsUJ\nSa2XbYHq8xjwaojk/wTOUlhM1j91IZsU7xd+XIjg9DQqNRcbRxzCA8aTRzyyjEXpHCl83Esw5MRz\niJKXc4iScdglKL6BylceRFTDLvtBRDXEYcq+BBIFiSPEVFc+WT38OkyOB5HXtKvmYA0iWWohA49O\nZlRK5/HYHghvF4quAfmUguDDeGYvyBt45k7ImK1ZuNAB6QLIVTzsAuGqg2iB1XINz/svCJXYWcMP\nmFq8qGcqO5yyYAxTJcIpsqEo9Aq2ZXWm+lp3fumKAJMRm+d5mp2F7EdT3+jp4l90tDh6/XU6s7ey\noYUExuLehRXB2VX3sZGVHGFf/hdhJTch/FfGp4yEy5Itr0KCCpuEE+P/yhcKK8OyfYIvZvN5EbKt\np8tnFCwGDZN9Ipq5xAmK27GuTZTz/8hkmXLuH6R8DvI5R7khAK7KCed55BCWLpbIDnZHWkqjZxIg\nVBZpe+U0ed0w1VGumTr+lB3yDOtkr7la9tvkpaUSG029DAYHcHQkh40Y/bdhPf2vIH/moKrTjr9y\n/MLxoeNTB1WlTh7VndFRFWX7Eftp+yX7dbsahcHesh+zn7V/YL/JdpkQn4W3hG3UYs1mr/kgyEfi\nlS1eSxc+Gon03f4u/v3xL5cvsDXOrb89/ieOkGNhictWWPG5bAf6Lve8YOHvM+1eQ3UG5fJgV3Jl\nhQkWpx8LlVxXULok17cCE2Ta22QJP0MmoUtTSTxpiGwuiN5PQqQShlOIDXFxTC7LwjxzsNGgwt3E\nlOp1Mk9FATsNlw2rnQmB42mQXkgVVMQyDgVuFqnYIGQ2uQurTi+MIndhLlhO1o4VWI/bFCuNtBB3\nmIeLI7huFVbYz3Bdt2JMkeYzXYqfgvHML/pJ/e7d9T/ZXbd7dx2/enfdnt3Y372njvpuLvRBxiMr\nuNtSAbCxDtkpBX7ERksFlQ5ECk0h9EEl218u1rvd+Vi+RgvwwyNOUunhSExeUF2DUH0SnZCESaAQ\nxi4lMOM0mFs3lMGUQVELT2GrGwYh9IjkA9mZNQGzLWgYG0HeAHkL5LQZn+4U7jWKi7fgbArgJ9f4\nLpBRdo7JYjE/RpFkW77XBf5hbZKtJO+bPKZHFEr+q6aZjmzeBOvLBxT7PYP/O8lXwXpzM8LcYiB7\nEPzok71LnWyiQmRG0LfPmKjLSPY6trKUig+kg6V0GhAJBhG8sZuRkRliNiOKKnrkP7RMJKrZnGUL\npa2+mny1TBq2HbcxabiIHTTbcDCJYu3CZNkgCnZbgbVhBUYPBUmvKFB6cSWm+laQI3AUIIIgqbVY\nmboh3QOnvo+ZfwZM+gzGwWkoFDdc9xHWdj8XFHgBfpWT8IBeALkKH9AoyH4Qqkl2EtV49vlTfnbh\nNThfLoKcnsErlX9WaZV2vYZ2LSfPEzEjeHYc8Oxcxrp8H8QO8z5hlFEjLzumtXQULT2PuMU7IARD\n9gntosWfocUX0eJRNPYayAEUJzvgP+IXHsl61PoeSp8o1WhFN5+01s10u2fWWZXfuFActTUumVlV\n3bG0uXlpR7XbcXwZ/3l1W63VWttWXd3mt1j8bX8u5OdXzewPNvXPdLlm9jfNWlk/fga6LM1NwsXd\nmcXFRf6BFdAbWfyN/llgEsFmpXaYwLkZ0ZNtw8l/F/HAKKmd7HcOISvsNrY5p9GJoO0MLRWI2s3P\nSBuwshSwQ+hsrrKAUM4J1+cWem83wH2M7DTMIr7MCCYqGKlKy0Z8qBdAxALA2kkqZ372aia1avMp\nMFcn/1CZcuTDMZETCT158uFC+cIiumHCCHglaYJ9cAQjOTJkfJJKih00uDOIJygNSGbalyyOYvzY\n5Z9yuWUV1P7H5BAqQE4SR08EeGonJHe5AYlCtlsoA6LdzpYpqGCbFWTkw56WRGcdZRHnUZahkbZL\n6LiZzrFQWXl7GlHxZbDehCJuLdz9+BfS0j+zm/658Zf//T3L955e84eWF1+qmF3xPfZv9bOWwbWV\nsyu/VzmbL/npP7b/tP199h/7uXDhQi4/S6gi37WPf13OI3bJecTEXVzZmogGbMPXugSE0BYGQTpB\nxkA4v+K/oxRjw0Muu4RbFgbsOUAFGb1YioN9RKEKTgcwjmh7H8UxDhf0FEzCGcs4xsm2kjjwnGQQ\nYxkjYTiZsowCpS/nrEumrKPIb7qDQDoNJTyVnQFCEjAHJT3Ca+X8KxlpUA/JNFrRV8FuFXX2OZGe\n5TpDXAkTnSkl7EDVmSqFTemr8AjPqAePwIzXIB4k5R1FpPIdxNhqkJ8U9vX44NprE+OTpeSTkYJe\n+MnDCuLJw8kijyRGX1bCXJWw1ziy75UQWWTjP5yC70MErBIJy36VnCShimxGf5bNsRphY8IkDYJb\n7a49VAuTlZ8fnpJPNe38p+l8F50vLanlh1Mn6tP1Y/XigGSsJ0tX/dT8J3btsdy1z9G1FukQrnUh\n5vgQ8npcM3k59wl1AP+A6gBWcgvFvdKCWcDpQL2aACrXUCGbBCOJBbIbOm/WAky7vIB0Ow81H1QU\nazHLOGJmWwvYGphGyS+2OjblEZ84jRjmuXkI2E/GFvUDAOjKYkUGibFBG1NGcA/b6VF2wmwnrAi6\njWynETs9MnSIs6cxW9EBzFFiXHOYSnzGyKCFMoVQqBpJoZLq5JPrAtIhpKA1hZGElbzSdKuJNWVx\nEzwJ1MRYGM1divyluXPZEErPHZs7ZfWVC9phDq3BAncKxAcRcA3442mwYAqAIXyxA1Cg+kDOgBwD\noUo3vfBu78PU2A8dqg9z4ihIH3AsD5YfxcT4BSbGAegFbcgFPFpxBqEiJ3Oe5RQ8y5HqXvib12AR\n7IU2t7F2ay2CMGov196oZSNjJ5gFFXk6C/IhyK/RA/8AMgo5ZS8izVMgd0FsAbjxQM4gsUrbhoAQ\ngAreo4KCR6Kno5ei16P3ouqB5JHZp2cDwQfJV/rZ7MTTiKc5CnIfRI9om/tICrkDtP6VqNNwMf5J\nPFcgEEpuEv5GNuOPFJzGvDyYrWE+TF2XOlh4tPBMoZiF8jkAEkf3HQDZiz7sAdmLjiR1cz/IKZCT\n6DwkUlJfSRGQk0pPST/CtDtfexXTjqSbH6JvroKM5iSaS+ilX9Tjq8w4iuoGX1ChC2Cd3Ef9QXvA\nH2Cy1Sp01yl0132qWRBB76HP7Oi9Y9j6AsSA3XsoOniUkdTZ6AfRm1H2bnfQgZrZ4GEdo8iuu4Pe\n06D37uZ6bzmKG0S6ETMRvxafItpoH2ZgD5cdnAouMllrUKxVag3GLXUdtTWzZ9hsM2bX1HbUWeLT\n6g1Gf6+8tKmlxRJe0VFdE1vRHH2xquqpzulVBms880KVCgesDM0tnVZoMFxRa89X+GFTWygsVxjk\nucoJH/crTsNZuVlvF6t1qvpYGaL2vMVAZ1levKb45eLXimUEq9HiAva9iq8Ww7AlBhDaZhULSFOb\nkhIbCWWrL4QjvyoO2ktc9iKjw1UU9NRWlhaWGd4pNuVbnSazz+3M90QqzGV5eY/ltZuIXxopADvF\n1RvrXfWiUl8aFv9nCFPv/4e98xBB5vEADVeR9q3KSAHoeeeYkpSSEfNEUvbVaW4yzDR/qsWXfG8a\n2VhGPxT8xlNJuOT74sciqky9qdqvOqw6pVKxyQMsYdLCku+rPmZqWVKlKlWxgfg5Du1Q7YOmNqqi\n0t2AtOSfiW9qSMaEP9gQ/iFhyPkmxsQy4WPG7T2cX/gEUUNOF2P5Vpg3gE+b3GNNsAUc0erZ0Ak4\nzYrSiSKgwmK7Qg5lZ9JSgJTKhMuYcGdiBYNuGYJ5t/uQWzOQvOWecAv0x5q0VKTkDyMgz5eRzkG9\nupVTtIagaNVm8Ed/RtpU/9jw7VyIUlYMThVVOisDleIwfKAISJWWo/2jwgWUDNDDF98jLBdUwwpE\n0MfCZ4JsBCjJIFYDK1iKyzPmufLEYamwhJMFSlQRcmakGIJmKXK2ykNLWTX9MH0OJxAIhoyYmfDT\nJ7uBxaEPFosD0JR3gXwKYkPaGCG/DUu1sG18Con8KtQ0NSq79GBrBchdEKr8c818x4yX0JgtZq85\nbFYNSyuoNhDkLC0UpjYIO69SgVSQdci13uU96MUa4L3sveFl3GUVen0+SBt6eQvIEZB1AKna5Tvo\nw9m+y74bgMldhRyv5WCIr9XCrZuqHa29UHutVjWAo8NSL/70Sk4dvAc2qqu11bLX6vYj1T3lH/Vf\n8F/z4wJkWvf6VyDT+hX/637w/ecxdK+il3rRS/up/DzIVaj9UVhDHCDzQerQUVcReXW19HNEVU72\nkhadRslxFjOyn81rESJIMfNaqJc+kKu5EDL0VlVVayQ8CfU6Ge+u1YY88kwReSsvlo1/+PNSb6G5\nvKAqoGszLAqXN3utRkd18Xc++vJw+5MVL4WfpJjU6M9KAxX5lmJ9lVXf1FJYVldmq6txGV/6lP/q\nXO+qL8NKzKqKi7H5JlBsayFn5uz8Fyg9rkVYUJERBsVsgAlT55YgknZJvuzagh8iheLPAYGNbznQ\nV2t8TJAv4owIbZbQkqRDRih9wFBJ3jJNmNgQKhg0rTdtMm0z7TYdMmnoj6VpaT16ZjNIP+seQKFY\n2aTEenprOn4bU94sBGmzKZfHQ2APyqQkMxImZSF7g0L2BgEQrlCPGTMXippWX5gFlc6GlKTgZw2o\n2HtNDzGW0TglF4zNMZBiM2VllNAPqv+Zs6XiYfdj2pqd5l0bKrm8atkCNeQI3mgdDuyyHLRgcFtQ\nxRyDm+YMXutVkCMg65BWuct60IoTrZetN6w4EWmCyyFUvGajWWAbtV2wXbNhUOfSKF6xKSLcPZje\ndTYbkqVfQyZmyj4KM/w12DOWI7oW+TTSRSTVuLXZgGh3qymknhx2whvCljeAp3/i7b5xz5Rhxn/1\ncvgrX+ngC7Y8NK54LsxXcf8knGVr0atw9mQRPuVVKAl/tjDZz2wMZAFc4fLWZJekFAKRlqsZ5+vM\nVYKcXKAyKA3H+B+IQHZRyQUWK9I2rVIm+Q3+iRrMV1ETSdd18gd4j5DmCrgm7n2p1iTWJzEI4btG\nRo0pFzYnpWvlLCgHY8YOOdbElC0sB4CkhrS0CSiLh0KPwGqx4WZzF8q2M9balBzbICKuIaHLpOC8\nWq+TgULL2V/L+8uHqBicfI0zgPNkrIbGQgTKJj9ovAlgcMA/Qmu+WPkJ0rR2IJMoeb3yHnY+gA0H\nqQgmkrlkU7h2sq5zy1TmQtXuUeHpYkFdbYXH4nAa1c+UeitKSmrnNltiZTNKXI7ZLk9TRZ4ohEW+\nsJlNdX1pSWlJscNZ8LrB7DRbPY5CXdRY6LEbTWWu/K3FVQU1pZZs//4+698izs2NSUZgvfTDsHoC\n60p/lgMoHs7dsMSsl0FfAAg9AX3lEFTnTbksKcJykcHKUoiyGALsqpMAqvJYX+YN5q3Po9iu5AHh\nCIwJZwh7LOdhHoU1nYBb3sllQ1HU9yjs+e/AoLsPBKbd5NGCM5D2oSNlyx8ezd2NfNAH6XK6qFBB\nL1MKaz2ionuLyryWhra2Bou3rKjdVj+rxj2r/v+y9ybgbVVn/vA9V6styZKszZYX2ZYsyUss2Yol\nWzKxvMXOQhYSHCclk/wLZGEZyAwkAdqGYUqWzrSkLc3CAGHakm06g3yjOEthyMyQhbRT3CkJCbhN\nuiQkYWhoSymlwf6f33uvZDsLMDPf9z3P9zxTmp+vjq7OOfe9Z3vPed/fW8D/en38r5hw+Iotieqq\nuKXIZy9rBFdZ4xjOMpUQHPmVWMXeE4r4eiisekxSWVU1KasyuqJdLoJdfCuHpDnsTrpnuRe773c/\n6t7o1i3EVtt/QHs7y2HguaJU0aEi1UKZyEoSirClJkeGeBOgRVcyGLFflv6W4XkDl8E6LEBihm7D\nPAP4rEEwsxJwwgCLYsMruCfPRJtmr0OH/Dmg0G0iBv7CUU/mJgwxxfKND0MBegZAeuRBwIZi8OzL\n1uKV8m3kUbO9EtxglWexm+KXa/ak/7vYSlmJNcXjWFNI/n/lCekf+3/uJ5PX/jqeSZhuln4KFo5f\nAyhI9hYK1gVX5TWARYCzAKEhs2fl5C3NmVHys54oghOeKNJpiOnCqKz0TjrpbzL0GPoMywx8BL4A\n6ayHdAYMR7h0ZEN4KY/ulM5BPD8hGckZzoNcKDKiTCCKqcw9mHKHYFcD0nO9pb9KvCIVlxJdwlNQ\nwlcXry8e5SCvpG/S36p8HjL6JYQ2CPBX0fbnWkjoDf/bEBkFq9+OhL3+w0igEPZhOYOfht8Fm/JW\nSGhnWB5iGoUu8DpQVO8BjIZHsyRIH6AfTNZidaNdquU/jOG6z74M7KT77cewIKIwgB9g+omVdZfB\n3aJsBzbOTsAcfVP5duyZEa/RFuj6u6DKKjEbt0CV3QXH/dO1F3lCemK4M4ywY10Q+wcZyoQ0Qs/w\n2ykA0TFAD86u/oirZlz1YP+jGQCXl/Q8+1LU6yjWaORmgrlRairLOtCnN9fsAC3qZJQfIzd3wAVA\nF7hDYxxYhpFFoUDN+rC7dApBritjkTQxwN4u8mBLLjyztKOsvbgU23KhWWXtZRsndGLfrqLU2VSB\njbsK9lXPnHpyTy/o9HSWzQnjuqiw0zM3AOW1s64i346LtnF7cN/L6oU/Jr2wSGqFmr+Iw4AlVhYL\nx1TYy28Z3cvvGT4rJmift441fXp8u1Y8NsW3G2VQLaNIdxNC17opjuMx/+T4diewEjoP2Av4VwAF\ntTsIqJWD3R2vfbNW/G+FuJOJTcG0nIly14QNmilXR7mTw9tJkz3Y4aAYd8QtIe3H9sp+6HkU606K\n0clVJvHa0HeOa0LfWf8Hoe+Y9Rqi1OFvZOIOPSYyruObhT+DY/AsdMmNZOE/lH6CbYO3/ExS+YkL\nsV8tUyIa+JeGbWTZpfCmZl3uiGsG1pbgRdPmkbmRlq+eNOQ3apWJhyIRkbV/ob3u5pjn4bve/ZLK\neOV9dhAV/jzitkRHFgtXxLOCVbiA8w64pafDeUmYkOQOkY26bLLeiivYreMQuFlgZOSpkR0FDUPE\noWoNpQy0aj4HW3bzSraWbWLbmRzCSqe4HDxPihpgE/GlcCVaJAruFaDg5t9jCQGHrvSA/giaxmR9\nL5Tb53PAEZizNmcT3NBzBnKO5JzMOZ+j5jfk9ObwG87T/G981Qh1cBW2T7qR33msErqh8L2OJziX\nmw0eD1dL8DJdKauvsFrLwp7GjqlTesR/jiy+/a5Jk5Yt/rOJwT+78PADlz5P707P5fQjktN/ZORE\nh0PSWcCjeXLc4ykY5MICxQ4h6QhQQaQpXILEEztE7knwEuCi4gKDS8YGtpXtYqqF6VfZaTSB+RDT\naJQnihc9H8vj3coR6AppK4Q0H6rsbrLofyhnQ87WnF1cGgOv5pzOuZijIj4Dng2e/iIkM2A8At/w\nXhDGDFiOWCClt5H/BX6La5IK+ivcUXF0qR8nkS9dRyAawT/yc1WR+Eu+ynEJNUKrMEdsk7nNCipA\n5Y1QpzMBjwKSGKzvB7Cp5D+sWPRJScD9TBYeSIikXkgQc4US1uhRPHQKMAhYLNJ5XLpAFQRf/lS0\nm17AWhWZrUMPBK9EqsKCZfwIvRyZWS1Vy79CPKKpYOuURuDYNwuBWM/cmlmrzuQda2ZG+yQ7Vzom\noPjQM+G+gRgKJbTJdH9mfymVM0REhEi38WyhhfB763lqvXzZxRVc7LLO7EL8An5LQrb4P4LnPa/M\niHyKE5bC9nIzEt4AyL4OOYLs7aBeIT1E7YF8dg4wtJaLiAuHmFjpPnEZ1s50+LqVXEZGQ8zLJqJH\nAOdpPMxy3MBJgpegkv0k1CvS67Vb+IogvdawiY836XWWzeA9XGfdjCO6Dc6tTnwX2RTBn4mbJuK7\n5s3N+BTfFMctk7ZOAtX5Bu1WZLPBsPXabNY6NyGbr9Q9hZhDa5s30e8nbeI/dAWYy/Zp52af8v3p\niVy77bR5qgsKqj22zN+WIjkGXFHm73DoU2/xFIlvF338VmG1x2r1VBdm/lYmQ0VFIdxCf9n8T7mB\njx3ERUOca4v+65FIpMuwvbzPtAanpSnTIfxJmmaZxLHGrjLjzHi6mX+5mv+MxrFbmVr4F3Y/r0vP\naF2SOZny1aOlp89oL+MtnjFdRpnjaiDNInMoGFeNN8jPFsrimVJ1QiEfK16jsQJaZUjoEGYKt4t7\npFkLePnhOAfSM7fh8JAtiCsDBLkDnUGTNzMMn0PpoNCERe08SG+tkI18Njo6PCqPDtK0zIggPQG1\ntRVwH2CjosAqo8SAoLaoy9Rcd4cSC02M/0JRZ68JyhhGYFbpPR9+5rP4ynw8LU7GOiOgOzRXe6pD\n1TyrjbN4BrMsqU5+cydu7rR0lnXymxdYUlP5zVNx81TP1NBUlHsnyr0zMwAt4i9zUWYAauQfGkcH\noEWZAajRkmodkja2wjCIlxFAGQFLoCyAyJGD+HoCL2YCipngmRCawJNNlOwYTLVaEIyJZ9XNf9mN\nX3Zbusu6+S087VY+4fOxMHUz//nN+PnNnptDN8uOV0sg9PEj1lVDlZSDoXs1Xtjy6w5UU/BCKYIf\nTunSiMMrXme0moK57pOHLENmyJqi0qwY2K09qD3OG+zA8/q9+sPwuXveuNd42MgvducdzDuehwv/\nQf9xP74K7g0eDuKidm/t4Vp8VXew7ngdLiYfnHx8Mr7q2dtzuAcX0/dOPzwdX804OOP4DBWNUMSc\nmjkOumr00XzCd5/0uy9i1GILmqurm/EvWlDVVFbWVFWQ+Tt8z42/+u4Nv5JHsCPV8Xg1/pU1YaRr\nKvM0YbBq8twgnW24wReKj21YnC7W8fFjuqTC+DGi+Ehe14y8lYYJAd597yn3qYcUN1vi+JetJmX2\nfJk5vzHC7v75z1v4/9nNwJ8LCmciyo3QGLJEMiBSGxH5YzlKfrEGMtek5TCYFA2wy5FareQpa+Dl\nkw/USHbRkRRld1kNsb/o5AMb/Mo4BMwb5INpuaPcyuvjUOpG/rxUs5/f08KWPv10y+bNVLcg18uK\nFL1M8+nxLJI41yWVDPEsKAqSopc5QjcIbpH5kAlu8ZmCWRB19oAc0GIs9UMmjgXiDN0onIUcYiIT\nzgJnpWKW8GEKAlookSyaoXwpQSwQtSLd7JviE1dcG4zCek0wisb/fjCKj19jf3698OL8XYRGPmID\n4iBvnxPYc/IM99zoRCuHJzPI5G9PaLdpNTLt/sDL2te0Z/gYorDuG0MDZ4yXjSN8DEmbjR6juKLf\npKbVvJ+PjdiHMfs9fp4KyxQ/toGlVmzwnCm+jA2eJ4q38T/9Raor0n2hzNhOZB/X54lDcylgV6Si\ncjKVKyItClQ3GW4bInMkCsdXYaEwH1Q379hGzyZwLCE9hXOHO7EttQlgB/PNEfdJ93k3NKal7lXu\nde7Nbt48tsOw8XEoxEuyLPAna87XQCcgthsHeBO0AKK5OUzRHlDw24BlKGw94CHAFpx0rC/cgs3C\nZZhBTyF23Qb3VpBGPoyEHZgzl1Wvrl4PfvchFHeq5gIvrnIcOx5vGmqiJ9DqAlmNXO1gtZk1RUFP\noa/aW9A2MdKRM03rbewMBCdHSgp81b6CLJfenKIJAV9VXWkk2VKfE5hU43TVtvPBrKYi0OBD+6gd\nsbA9xLE3gQ2TPTeZ/KUvCyNYfZuxNwV6dn6NOOpZhnZyB5UsWi5TmXJvTFtJ5mQ4cNUZDtwxzeW9\nDLP1mMYSRmN5tHgjGoscP4Eay8wQux45H7WcseR8snlmptEYy0cbjQNnWw4i6cdL25eNPEhBB4mw\ncjNe2uN4aUtcK2FOt2nMCwThp/QIgF7lesB+wFa81Ffdp/FSwakkXUIqfD2knWhOu3FsuwsGvHjR\n2INH0yJLlw2AS/Qxs1soXaTtmQLU1o3ankI7I6LSTajeOjTl11HCYcASwFrAAOA8YPP48unYeDus\na17PNuztaGmrqtehOm8j4QSK3g7A0Die4NCRp1HmZld2pFI3Doy2PVZwo8Y3yoY4p7iWt75QybWt\nr75SHp+e4auhuxRf41tT6pC0EcYVZ9XvwbjifrWsCcvHbUNyOF716JHWYqjzZ3MyjYSchIzyAlGt\nxDCXp9IA/8fqWlq+3tIivvLOO+/IZS8aeYDtpFiCOuGv5WiC14sZSCzEcEwZSGkOaQY1/Es1RUnv\n1/E2+lxONpZglrGYQpUjCGEP68NKb1x0Qv6NpknTo+lDmPEPEX1PrynQBDWqFYhBiH/f7uiYfQfF\nIkRNeT25jHYqMtrCnzKNo0VoIurLathYDFHUdmISkV5QgbBKRQHbidmNJvMXdDxVy2ubhMSeu5HE\ntIrEeBVVMOfsU6GKcK3Xq7DDQJXXwcKzT4dvEIBPryvQBXWqFSyi42LWedmdSu0zgh5f/+e4qAZe\nFl8Tz4iqhf9tgdNLp9c/hnpOPkv9n74E21UvgZ1W2gsTmthp4Yf0HLeDgRQRVfhAda3saRMzDbd2\n6KbkSS0JmsyxDJnWoK7i0CeK2saFuUGW47iyV/KnJb/1NCwWwMYqXsYq5gXxZcUh/3pxL1ElOfgl\nakL+oteI7hMlBrk8IsuDZDHygPBD6js9qM/LIrth0TPHRdu8cQkupYS/xfPewZ/3OXreEGQNV3ox\nOwZIT1Dvzzq4ZkVKbma8r99B/Rz1nMbhVr4WdQnbU65Qv1N2b3RZYMx/CPYcZzC4m2E8AM8e6dHC\ncRSq1/U/pIM1nKVpDXQWdh5T4U+0tF7utzCZvxBbkk1opR9gFNeCZJqMK5vpow2mxJNxT6OyIbsw\n3ZjfxZeTiteeQn5HWztW70wVaxN17sp6T7HDZCr0R33WdtbuSUbm2bzFVm2bpmTCxILhDwX1uLil\nE4V2VSNFLpUDlsqRSrNRTJUApv+1yKXtQ+nF7fcjBoGlnd+WaucVD7cn23kTf49fp9qG5LBDwUFE\nGq8bkmbV8U/NPLWZ/61D6PPUpJA0axJbAa19BLENZrYuasX6opWntfC0Fn7nJEvqpiEpBnPXXtht\nngWEYTG8uAM/6VzUCUaETixPOl/ozOz+/A/CnBZiGzS9JvpElDc0rwVPchYWocloG9YTyRCM5qKW\nVIT/EMEphYglUhZR8TVhs7yf2jKIIEqTiL4GvvE3DG6qUTlU8ib/1cFNodcrFvTXi2yaq3PfMLIp\n+IPSOfpCHA40URDTa4Ob3iCuaRpxTUUloKnG6rg2oClI7saHMU3H8ruh/NwwkOl5QB/Oby+SyxDO\n8jpgntsIOAfoBdyKXa5zgCigG9AFQrlzgCigN4HFEeSXYbuTHSmkGB68RzFl5rqWdcqo74QShhT1\noTCk52JKsenupnlNXHxN8Z54X5w/zgUU2YSCLgCmJD5DQNHsl3zOozWTDgYoDu+nhxJlwanO6nKb\ntdhrXdjy7Iyp7eEvtK28ueVTA4guUeUVu51Feepooi0e1fzzgQM0txaINcIp8SJ4L9gjktGJ9bvs\nBUu80ljgbuQrSJzGa8EZZg0V0C6AtAjqTAjkcJetIzhUNON6m/UFfg1jC7g0pVuLZsKfJFnEe6Zq\nCLYaORRSj85fQKIj9eLUZX6GlCppiuV1583LW5q3Km9dnnYh/2zuNs8zLzWvMq8z43OTrcfWZ1tm\nW21bb6PP9h47ztpX29fb6XNBT0FfwbKC1QXrC+hzIbiSlxXC+oLyK+kumVeytGRVyboSfI6WTi7t\nLV1SivBeWt5K6LSoj2qGk6F5qNk8qllTXk9eX96yvNV566lmTeYec595mXm1ef11axYr7C6cV7i0\ncFXhuuuWjLCo80qXlq4qXcdLtn3CblbaW1joxT+fuchrs1cUmc1FFXabt8gsfqWwoqIQ/+xed16e\n22u3ewvN5kIvrTfKR95nf8PnrnqxWzIjIix5KyEYLLmwgEpWr+YLIjNFh5XN9aRFINQ2W/rLuHJl\ntqTqB1P1ISkJy5BWmHediVCQ8ch9kTWRJyJqZdgkr4/M9EYhJMhUpM6ueIHBPg2H6jhXNciphpBU\nYK9THCoRzkTE/NBfJF7BfpFvSHrfJx/r+LEN+n3olEPCf0KPBI9X0vAQkw/6DjCNfLKX/gF7i8GE\n1bQOWy0P5j2ex/8M5B3hf6RfocmewPi0z3oUrRXBFtOnnBeg7VPIhp8U/BIhG45kwtZK57L60UnA\nG3BM2AnoqcCRIa4uUlzZQA9iBFzCAVYTzCNexy7U24BGuKycphhw4I7hQ+Q+TJCrAafoCvXewnYi\n2vgxdopd4EsfaQNWKAcAYApL42g2+1jSqjw8Q95RPNSr2ILfn9X0aD+D/DUvEbjGWDjSE1CoOFR5\na8UuOKRMwYO8OfoMaRgXw+kKT3EOD3AScAKxISrrG+vFFSwT+NgJw45rSKj9gUAmZo/TxZLmBp+V\nLy/q6jrq2zyR9orowvJm+03V9qDHNrEyaawKFJfUTyqvn+tid5ZU6K1uW3mpwWLoaPDHvJaqhkCZ\nP8dWavd6csx86JpQ7otWWP11sPegdk1+AP9GvD7zFgqCXpDek900RWHSyIPsP8RBwS7MVXkkfye8\npDp5G+/kDZC397OyaXt/Hr/OUcHGULLTH2wmzB1MzQ3RJmOnJTV9MDU9lH5i+rbpIrlPSVWdfuW+\n2sFUbSj9aO3GWhEZpyYOpiaG+hv572ot/TfxW7vpVukRxFd6B7ChGyvDenlLcjbvI7MRGHUbHJqS\n9bPlJUJ/DrsiVcyul23XpTX83fTb4WUsJzlCqdnkMCVVJclot1H+YWMoVW/pb+Lp3RXEKroOBT7Q\nLXcgcofaTFyfmO/ID35n1lP7EjYyDsIg+yAmvFdghQSzJGkTYB1gB+Aoeedga2AfIIo5cQlgAABi\nivS64Gb46dA2AbZJRXlzYOD5ur11h+v4gnFLZCfOOk9FLuDPgcirCMW9C4ukJqwDd7bvx8JwPoJT\n3YUT3j9N5rAcJ94HAKdm4AqwG3B8Bjx+Zh6YyX9zeiZP2DULTXYOKgvQz+XNOzgXK+WlEMG3III7\n8PTk0v8t/ahBzEEIYT+EsB3PehJmWevKN8Ms6ygJBA9/hMNA1DfZ1+tDWEVfRgD7AFsyZvbSBsDz\nkMFAzRGKLE3RrEFXcgEj6G6EIT8eeRPP/ndI+D7gTkiBREGPPxXy2N1+EPJIIGEp5PEB5LEMorgI\nODgVLhQzTs7gwtwxY98MGJRBDgOAHYDtkMg5COMI4A2ACmKxAyo52OCJUyq6MiYLgVidalwX1+qu\n39FlY4/R7v7zkgkOj8/SbnI7TNaiCmvzFo21yOfyVrv0oYo/r46FA36Pp7HT13F3Qbt1SrW9qsLh\nL9sQiCQm5BYVWErCrd6OBWb2VWOwzOFx5evKNPmuYrOz3G3Tuw/lOm0mZ2mpvrLK2uRsm1iXdLib\naqpvqrI1JcpCwdyCQImnytJhaw03JO06W3GgKJAI2mMBrG/auJ55guuC4GB7ERxsijGOHLjENbpz\n/YJW3rO+rB3RGhbK/HCfKZoJDkhMXHM1HTIN8mVxvxEEN5Z+M9dcX8CEowQKuaxwtfExIC80ntWB\nr4zyLBQjBNqtqcnUY+ozQbvFcltvKjAFTVx/HkfTFoscz+ykTYZS/R1lx+zjF5W9hiiHN8n/aV9G\n3yclu5+pwFQvxTH9vAYAAYq0FYBIVZn9E67kqkPpVvVMdUY1IqKrqx2iyK6KgckCIw2ZR+oxX0eJ\nfnPUZInP0WBdlLRYXkG54V+Ka0VZw8GXGaJ66Q/QY/QqtoIxL8hb2JvDv5zNvMM72HfFxz7+kvhY\n+2gMTYpTXct+IJUEsG4dwwCRhFfho4DnruaCIBqIN2H4SNaP20cJIWaho24cRwhBHBCZhyZ2CDot\nGscGgWhsChuEndggpPPI+BW7PPz2UvQjsjDKMi0QycIxABGQn8J8/SGgAAvuHMAHhZmVx2GYLR+G\n9+x5wBuAw9CO3gD8AYDY59IpjEgfAo4DSG06DtiPEelVwMUsUzi2lgderTpddbEKZMvVfKFxtPaN\nWhxZ3Iq69mVDXRzNslWczPjppLVOJ9gqfl+oLCvSpzwXcHx1CpUhb3DyAP8I1TqdDb5+AZU5TUNm\nhp5C3mLeh33uN6rerhKvCbsec40NeCFH/rNFVn8mJojXFAKICoUQ4jpEECzG+4pm5NfsXvGkoBL+\nVfHPuIKGbBy1mhJEUmCkK9Cvjapirn5fvfs1jhqNJQvBOtorLBFWCmuFTcJ2YUA4IpwUzgtG3vQz\nrKS9oBI0gZ62ly1h6C1aPpKzfTBbewPdZQu2AYJik9gjqviaF9HE5XN93mWoXcEoI92tmscrlN6p\n2q+SjX5a4yzUnG8TT9jJPhYd5p9Ufyn62WOKT/sZ4QWhWXoBFtqHALPA+oKABWnEIUQjoO8WGaDe\nGUZg274ICa0G2XqWCXN5nlV8jeVhd+1hav1ofKKz2ahEENhZTLKz9Iv14kIlQohMqJiNE2Ifkhaj\nCyTt8s9KFfdLYk8yjt09g0ZRqgYPRao0JIceIoUCNhqMWCNKiVTJYVUrayWrpb9AJr5ZD7s14jm9\nBKqsw7YT8HA5j1n/DxTJBVU4AnDBYe0Cri5iOfAWYCfa/YNo5ofdJ3Bg83t0Sw1ObZwIjTHPvdQN\nma1DKedRyjrAryhnwO8BGhwyHrGBidc+aD9r593OhsIoisz5bDlbAQc4DPS5l7lXu/ltFISjgJfE\nvNaIo7wxIscwkefdMUFMdu/8ePjWJYsX28O3TKqdXRqyN3nroiX6nWzm8LstLczWMi/c2xYoLou4\niv3NycLZFGeKj6OTxD7BLZzewzQ2dc1ogKnMGx0TZwqmmJJFIJNLaHDb0Cjew9MJNvzAthhyPaR4\nDtkpIIqTXk/hoLQmE8xcID+gzG5bRm0kJhFMKYVyhBOTpV8nM2XZBrG55hykyEeWPgQNXg3VZzlg\nA2C+ha/yBqK5k3N7wdONm5ZZ+IITbLciAlDRqIKwvDSGkPwiXGLxdbn5hWarz6yqnGirqnDefnv7\nOrZl+D/d5fm6XP1N1tzicIAFWr78ZdlefKRYTIjvk13Ccq7zpl+oe7kO3HBD1zUaHzUVh13CGH+8\n64a1IbsE/WeyF1fMES7VsDH24LJt9hTALsB27Pptxq6fbBMubcKIvoM2u7JRHaZmQzvsgj68v+BY\nAXTm0iNwoSJKnyMYwrHiTx+rPoWDv4MZw2/pVTpz3IyZu4m8gshYklyDUPZTKHuLfiesIDabdkB5\n3YGSyHx8B4qDu55ifC4bO+yvPoYiTlcruZMB/LUG5tZPNDB313fVZAzMneHQBPunGD+I9cMbSgNO\n/TgL8x+hb/h533ibj3Ex8XapLKiqgX80he3p1/Ilxn0Kw8dC4uuAZxz5IWH9J8WCZRiDYiHJHaOr\noKW/ii+syiz99WplaWHh79iSGeHIeRojHLNUyvZ6KYuFtEGjnGAMga8xyhNyo3zQoKiCbkY8GFWV\nYOVJVYWkxXweRcCsWvkM4QQcdrXYy3odqg8ZbDuxofU2rh5E34VXU3pr3i5sJ2hwxrAUb8fBO/PA\nEttK21qbSj5sSC+xr8Re/0+gI96KnQWdy+XiSwAKV+XikD5Rcq6Ev+rekiWgwDiBl7oSgJAL0o+z\njBjnAVrsPCDqgrSK4i+gka0CXMDh/kVspbwFOAatSQ+Sx1dh6XMMmtIxMDh8OBFt7xQeUI8HfAMP\neAGPdRrgxlOuxgNuwANuztuBB1ySOTpJr7Ktw0BVgCF5Nfxh9K4CPM18PN4QoADPlQMYgp31CSwl\n5wH6UOHVgOWA04AcPE4f6r8asBxwkQCPcyqQeaYjeBwdHucoHuc4Hof4Oz7iYItkwkmM93p2jYae\nGBvty/vDSk9zdWHXpAmdztay29uqpzaV28prC1SlDT67b9ItdTMeKJme350sjVa5ShvavB72ZJ6n\nwdvcGvSXNccKQl21JRMR0VhbHm4pr58+sahzmitSb6+c6AnGKszkD107clblVPyhk0KnyphqC0l6\nEABW1fPekPNprtCgLh4kJ0bM9Gqa77VDSB7jD01ESRZsTKaq5H3IikH47duG5InlBWyQtML0uz7j\nEFbIC8LKM1lfJW+bINg3V2eT9JHf1jCEfOI8hzhIEtpSbXyUbsPhk3QZyvRrgMWAJM6cOobwZeeQ\ntGZyZpzOhtsa6/t2td80+a0lyW9a/1n9pkvoUOs+NIQzAEsJ7YFaQgMzLYss92HSMls8Fq5WlhBD\nKihRpcK6EgrmgkEBp16tCN5baWlF+a9iPd0g59IQwglZ49CAudHTGGpUUSbtg6l2WnB1DqY6yail\nsYx378llvWVLynj39iPm8FyEQT1HvHIAJ0VFBZxEu+0F28DbuOoGucB56oY4fDkNuAQ4hvO1Juxf\nrAbsByxvw+DStqsNPtttp9sutsGPog3O3ZD9euxx7G8/hj2O5bje2r6rHbuQ7ReVbaAVUi9O7NZ2\nkHN3x5GOkx3nO+Dc3YHq4atVgB10Uyfd1Hmk82Tn+U7chLO97s55OOfb0YnhAk+a7i6bB8+7GK5P\neS/A0K4ADzqfJIBnpEeeh0c+GRz7yANHmk42nW9SyQ873kO8UgkJM7bvakcjll/VdW1wJH921JH8\n4/6CqkSVp6TSHnInq4vClY6Qt67eVdVYGplmixhrq80lBeacgurykuh4X/P7KyoLKmxF5f4Sc3GV\n29toEPXNgZI6j6VqQmlpmdFWaDIWuczDJaO+6BWsiHXzOa2e3Su54VpyFotLC9ayKcVSmy+3bKGM\nSbf0Aga41grZBYRWfRlTbqm+gjjj6kOSs56uKkAugiy4Mg2eqzTOCUT55OCq6GYe3gmwvjgDYHke\nedKTY9GsGJDDAKjg9gPzkzIcxeTKN+ViIkyFh2R3PCcLUyfAotnroU7oDcEd2s87gd/jD/llX+hK\nayNOJWW6GpXC6HEyw+OR1tlddj78v42hfh4G/RMYX96G0noK49OlKrSfydjOCVhjsCA8RbOGvQA/\n+yPyIcIBygBRmdMnqs6BdpFIil6to9H9v9BAHrtxe7BPHNsexMLyiiLvp7YAmVv3pJhkbvF7Qolw\nSTILfAQ3w6lHpuETvpCy42gPjzILuph76Npjb3s2bM6A2eAxhAw8TaPElMWXJXx8C9EulmySsgxG\nKQ+RU0yTukfdp16mVisu529TSBUcAs/LX5q/Kl/D74nZum3zbEttapDZ4qR2ngrM7PSVuls9T70U\nPz+a+fkAwnufxwH26nwU0Zw/JX9+/vJ8NYpTDuPUC1XEQEpuqNFYRA4T6Kf3UK0yOT2u/Mr8/Aqz\ny6Gp4R/LnPyjtcLCP4pJm78kPy9Hb/bY7JUl+WZ9Tp7HJusBLKiCbUme4GTbUvkhSa0BFakSbZer\nSSFsgW0kWwjF8oyUqkfhm6iBFizNhNXGNkBZDtemFF9/RasyykTnTJknFaJwaQ2WLwiqKc0CMXH+\nKI+jmeLGclU6hNe3puAa9g/rEGzDNYOw53aQC52YC0164Lj4pngJJgbwdEo7xEp4D2qV77Rvai/B\nccWhrdTy5IcheKP8Xdw41bjAqFqRThinwQ/uTzAWMBiLjDU8UXoYxgLfMcokEQ6q2Xt2mDzYLfYy\nO280FrKuMjyv2qs6rDqhOoeoVRQ2bx2gFxPoETW4bDFhoAm+qjmtuajBq0YUEdkfKmmQPRVQS/77\n+Ub0UURvTb9u/BUqhRRYSqu8FPgzYiMmD0QALVc91yL+TeBvxJaFf/VXCz7+zeMt69kUFmQLhrfT\nv6eHX2Et0eGn2JIo/Ex55/ktHzPL2FelQnAvLabVR8bcBwqrXk27ptbBlDVE72TAbPVYQ1bVin4L\nbaj2e1RXpD956G6ZNEMYPSy9egMJ4WtBlPQ+0X7aidHjACTzvoqsaPpNXA+wUDpfOUil8h25sLt5\nGEvu7wOIAeMpAALLY95HjARpOdE2QIqIKsVf6ztI6KOlMxbMR7O7JG/mX4IdxDKswuiUaBVG2T8A\nKkG8shbrZOKOjOLjKlytxADYDObIquLmYvipH0b25wDbAUsBy1DafMBFApT7JuA4CgfttrQEBb5B\nmyfOTNEoK73KtQ5GtmB1KS9vZPKxxTVMQeXst3yadFvK3BaHv6E4Ot0w3fyXt9TcnPAWBiNFZ9gD\nc5jH4gvWFpTUlVlbIvqZC1x1XXVVnS1R90+VebKc5slSdpfMt/UCOU7iGc+Ca+ezUW7NwuzWiv3Q\n+8oynZJCQSu2htdjx3o+G7QzhsCtMkUWefdKGqT+SpQ7/41JsTJEiOmt6l0wg72E934RGtIlizLj\nSYux4WSH5//vcaXB1eTMTlQaNFbiGBorhRAKnF2SX2Hv4jXJ8kPtHM8PVQijjrdR1nlo/KP0WR/g\nisJGUlkghkrm6BwuR8ARc6hXsE+gfmLdN+Z7YuU3InmSY5lwPR6c7x7hB1KRCe60RUR+2++WObhf\nGMPBncLLGgSMQG/dWD5u5ZLZrMkyKY3ttZKK2JOkl7An+wPVW4jhcUlFIVz67SIOhbj+gsXI1NwF\nueKK9FTDAgMX8iraFIHxjOIPsg7tvw9dqo+vKYQ02PXQArBlsip/HW7B9km53y9zuvsp3IuybS6z\nvbOnxhBsG0vqKxWK7SzBNqsa/jjQUuUgiu3hb9ri7pERWU50rn5C2ScGH3Je+v6yR7FkTpYxiqtz\nzX2fo/sK0ovK7uP3Ddzve9S30YfgX4j6oHCdyr85mP3NHfSboPQCF/XAa2Vnyi5DFyHquRdgbGJu\n4DrKaw1nGi43qMbnMVruGspDJy2qyHA6IC7zX7P3R/ZynbUI7v2aEE3Jg5h2GbaWQ2Tj6Sh3lLP3\nh43TGmgPlMPrvH3omGaPoGbqGmXXPweNHCqt7EOHNj8gx43jwzosU9WMepxAi1S42w/IUfl4ZyS/\nci3gvYzt9Gs4VwkD7sfETyT6tA54AhDCxxSuLDkZ29pxXgvZZqYWiGQf8cmko7B2364egDn3CfU5\ntagEXaStUqEPvPqyu7NqxWjEsz/A6gQRonkjRHQz/kenduEPFlniinKvKmLj/zHn1H+e+S3xW9PY\n68Mr2VcERVbiK1xWZvbkHr7s4bJS0SLSPCTdj8F7FlwQzprBusAfmeVRVbdj9UMcApsBJwC/Umzx\n+WJIoyZjhjcxdLwD0+etml0wfV6tWa/BuQFXzCG1RZnYjDDjRqcCAbNBRWulPAs8RGT+7EF0KMzB\n0hOKodpC6WVAK0zWnsOVBVdy4KxrKPUz+9ASM9G0+jqkNZ8tx1b4g7A3lqPW8Nb6CyaTWKsGJY18\n73fxCA/iEeZrloOPZS1tvAEoZNEvKMgMMVvzNZhRIHagJViyDBn/k2LN43qisdMo09lSeIJ5ZJIG\nEhcKOhiEGIib8BQmzzewiRLAhkSAi95mi8j/qWjVo7rtHvGLnV8U75nx5NQviF+Y+iR/k19mX6B/\ntezR4Uf5m2TUcX7BrwziT2UPHqxf008I22BtdQbL2FmCTLjAV7J78fLuA/wQQOGeLHAoFoeSprCY\nFGeJi0XEctKuSJoR0ek5MRPPScfnTkz/r+FZZsH15zktnH9UY8M7aIbS0Db4wLgAMYkOao6jDaiH\nMiSdK5KG0VBgmoWye2T6rO49GHQKENAcwJtYrCZ1oDrMBIJTLxxAyK/FOkTCGUqaERQHca3kkDm6\nhUlTq17mIkPAHO0KJRaO1JyjCFx2rpRm4rAMSpBk5lcDLxheNrxmUC3McG8tlG7DsdkJwzkDkX4k\nTRtzn8tN5crBQ7V8wpuVuzj3/txHER8SjkeSBTy6IcATeJm0LYZYQRnncATMGHPcmGmoFC0IDTUn\nFwFUpd9j8IgCenIQQybnIiKJxVB7J6ALX6lxpRLB8SzHlqoCgCw5jbU473URVQesi+VQHrIpgKRV\n5ZDujWM2tEsX2mUfbPJOCRfQSpqIjQgNwo8GgUhaA7IGp5KDmkpVcBt4A68f/EhSAQAOIFIVXteU\nbISOPjTvD2HP3pPTByISP8Q9GfAHyPzDXCxHTqLsVcI6lP02WigqI92KZ6HYCyexwF2lXQc+JkhD\nWpCDKJsRVywCS1ud9192L3jsC7d855UFz2ye+9GbL7zw5kf//u8Y3ywjFnaC94V8MYklHW/wa9Dn\nt7EX2Mvo84vwjPdm2UT4OEgDXNZ9u4/iZ+JqX9bD+wTgV4LiWGO2IEyUtAUrAzPGv/QTOdvwpkZo\n8Jcz7IMT1y4K4AP4KBtio4micljkEzmu/1EM8UuAKwAjBrZ1GWNHaRaH/nw+EDdhb/81rL7uA0Ab\nG7MazbQoohREKDpBm49aoM7S3vHPcSfgAcA3BHkhynVKraXfKF6RT+V+byFtY2C/cEw4hdC41Dam\n4BcXs27tH2JWpfmVGqEOAFd0ya7mTXev+jAmtL2aw5gGTmrOYyh1ogF9iCPWXbCBbLL04CCQgo9c\nyJ4GHgCcBvwRkANpLcBVDwRDUsjJh0XYL1CV1wGHAT2AQpwknNJkFstFxO6VJwudKy2AUwA9cp2S\nLWRB9jUdB3wfANrYGB+FZWrnGG0+xFSRD56YdcnRdpPZY9Y5SrxBc8WhObPZX38sRZOiJmmoDS5g\nb/J1DrVBWuf8TI6x+BBWOa02WuVkvz+Y/f4O/v1UPizaXra9Zjtju2zj2jDuTntsIRvvQUmoURww\ndFa+XPla5ZnKy5W4B5RynspQJe6pZATyQoqNDPN5vk58RShglj2W0Vi+g3K0JOg+96Evi/K4zVMK\nhmgelCknFVerxTQdk8gEixJ7IndI5gtczKE/h99kyKWgEltxUINIxOJCOURFyjQo5VlylZ/ZlOAP\nY8KhG6+2N7baKa6ZNYRFvVFnV87NTEMgejDCN13SU2r6cf23cCQKPWXgsP6E/pxetTD9Hf0emCno\nyI/eSsTDdOYs7aMh5wRGp/McYo0Bb2NEhe0EFcJMZPzZG3+re/oL/37rv/3brT985Gndd77T850z\nNxujrHf4e2zu8O6o8eborl0wyxJcHL7Jx5gcdk4SsHV0H5rbZQB8nSQPb3jyglX6BgYZiqb4AOBO\nrEVgLSIq9lSIZ5u2Mx+WchHWwf9ItyDp71k/bIozgXIhO5nsAu9uUMoFRV2Rtobr/+kW7XRsAyxE\n0j9p/5mPmAOyHRzvus/gHd8D+FvAIxhVp2jnY1QFtRwqyVczulAaUxxoTPBm4eojhQGHAPcDzmDo\nfgJwnyEz9IyLbpt14NbLx/78DX4HY/yXhScxxr8P32G1YBd8fCUrD0m9gJWAc4BXAD8B3I57I0KH\nMAccoypLv8jz4++eokj+ADCELaUWzXTNbRrVijQimfNh5h3Nn/ifAYOmSFMDptWHcOcUjbx1gkUg\n8XDBso0vtSBjZQVdoA1CjD3aPojxdJZx75IWrcalgSUbVzcayZhtw/CvWTFffuUPX2F3sO8Ob2kJ\ns2UtvE9Tm6A+/4txNs25ik2zf+R9UUuxjwJsZcobklq9vP9o1FfgasQX33zeQMx3c9I8y7zYfL/5\nUbN2ITko9RdmDpzHbTVlQrVQUBN2heKZyKfG7ytPSZsQimXeOvI9QgdYB8BKIx3NmYxZ6yO81B4s\nY5oBGwAfAXqydmMfkd8aBqGPyGsaOwwgy+ZS0zgdTv5nu3MAJEaaYkcxPhUPgM+RfG+W4MxVi/AA\nfdhLyQE/wq6yA2AozC1zl/G7d/kPgMGxEKpjLgKK9AWWwZg9J1CIuCKI7rWQIlpDi6MIYLK/nBRF\nLbuzVV0P/brXsQQE1X0oehmKno+QPr2BJTxHNsYIgWxlx5mlTRKZM95RkZNT0RHP/J3+ZxPz8yf+\n2XTlr/i1Sbctq65edtukzN/2yff8VSLxV/dMzvwlHculvOsw+/dUZUh6lI/K/bkqtOH0Ws0mLIdz\nSeeSuaUtg9JKDLFLER34pOU8ZsVbLdhYedzyLcvzlr0WNYwCQBpN21cbOZCBO6jTB9Pf8jzvEemG\nsiF43fGLanJwDA+mwsomJdmmZFqOm39wk3vHBLfs3pGawJc07IqkkRO4zs1Vtvdg+SXoLfAnM8lf\nmELSIqxtKQQmIiEh5NF7FuxhWSyWMgvvrW5Lvw2GLu4J+IEzlD7kHHTKM4KH1KYKOkUOkEJfTaPz\nKujBWwAxLHmex7uksDHnAX/gT5s0wVgh4Iq5ul3zXHxhfw67lLfiwCZGERYBsKYZWBVeF94cxtbF\nQ8gwigw3WTN5YddF+hNlaHAVuWpcCdc01+eQYV8mr/TukoMwf4A/vHRnmCesDK8Fm+hmfk3eE7py\nXTn8fFwRnVc+lFACIwS8sQiMqmP8LwVbdLHfuLqqN/lYkXX4XRVj7+WfMs/pCXZaQ8W3R6Ozm336\nafZ6xlRd9ubCr/6f6nmF4l1W50CTL5hXlBeb9/nKooq6Wl/bgmgsr8Ts9zZ9aVWBRT4H+kD8UNir\nWi+ohDvw9hjCZbON7Dkme9+eRSRW8khOGkYDb/P1gllFY4wqqZqlWqy6X/WoimszBgSTl1M0UAKF\nL/CxvAAUjHSWx0cvVcTlzf3cHQnV+o3yHk2Cl/8RlT8XtslmbHPCpZscdMdGAc+GBv+EcOBKgEiR\nlyd6RJQHT+OViTs+J34olzfyS/FDZuLlaYXHJC3mW8Qjh+IoDMkEJjkZE281HdZczhzWSKKGljca\nYri6TAHhM/TcamLGQuhD+Yll4h5G5/xch8WZmSgHLZbux0JSVGkoDAaD9hGLMFP7nDnt984SP7zn\nno3j6riG4l5KazCVPcqyrFyXiddpkXifuEZ8QhwtfcwmFF+UQb/mj6OVaTbUFNkWCwteR4Y6MpnQ\nC3VNm1UebFHej7W3mpG2p6Fw6KQmPTfrXtSQC/Ee8Fr2igbhLTnu2R6Visn7Ppqh6/iAQ/xPNE/q\nFg0HcObIb3ar7vvfM8fPcuaoUt3ozHHkHJejQbVcMPCVwkKsagWM/0mb/KI3auWdlEHtWW0OH3a1\nFjgvGLGGTQv5lnxxBb8z//78R/M35j+Xn8o/lD+YfzY/B83CwTuPGWt3HNTl4P2PofEIjLl+vtjl\nKsa/Q5kLVdTu8djH/EP8VpVLGFHd/InxW1Wu6H811uvIOXGYP/9jgklwCnt0DBuPOoUkC/GkeAOQ\nVa2ILHRmUM+eNGm2ulYX9/vjOtVjrV1drQH+P9nn9VfCKdW3/9fn9f+XPq+qjhv7vIojx/g4Oovm\nFp3w7ZQ2RGM9kQ2l4eMjwkwtfVZ8T6G6yEwwY2edT5hs5A3Kgfs0azRPaOhXmpmaRZr7NPxXaoWq\njf9Kl9lyHNSd1dEUpcaUqHCkyL5FCHYuD5Ya/u+HfL4a3pO4E5PWRj4fCF3isPAPqjt4G22gPdkB\nkCi9LKhGGZSUXj4g93oVSsnJ9J4x3bYr21vrM71U5k52C3tHfnL98Zz2w/UKxQhoNZbz8fz8Afxu\nsThROCe+y39n38NUKvmsBDGXBZG4K/mq5nsY/N89IHPkmDl8XTzG79cK5WNCJl9z5K1BJ46wCF/Q\nlJtZ4VTmGf7+L9hR8djHTeLjHx/4fzYvJoR4Xv8o/lioF97YY9F41DV7nJpCjiGNwLFKo1XXpGFY\nIC5MFuVoC7U4LIfmu1z7kBbmB7u0B7Svak38W63FafFbopbJll7LEstKy1rLJst2CziBEQrLco6v\nx2GQ5BqETWKYMKLI2ccr7LsmZNJYipCUz9JvEK+kTxsuGlAVvaHAEDRkWPZXG9Ybthh2GvYbjhlM\nGK/g75AK8YU7b1rljZmzcVltcTlg9Z5x2FPOVR0RB5MmdIVcgc7bGhtv6wy4Ql0T/nQ4NCXijvQ9\n0Nb2l/Mi7oYp4cN79VWTZkyILmjzVbYtaKydOalatzd+iyk6pS/ccf/sCRNm398enj8larol/r+y\n/X9Vtv8bv/y/Hr+8bOQjMZ/LrFD4CsyHi2Bc3K/nMnIrhHMQmCwOM39O8zV7Ulk6H3wwW/pz4J4y\niDWodVAOTtvvFK8kixDEOeCMObud85xLnauc65ybnTuc+5xHnby5nnSeB9lAgcpMekClNuOLIlsk\nObz0wDGHmG8tyS8pN/P5ZzL79XRDkd1p0OfYyqtdrHp4KduaSAy/5izLzcQwGPkt28b7WrlQI/w8\nVRtCLIJaouHkarjsimIbgpemiz9vNl6PzdJfobmSfrPiUgV1worCiqqK5oopFfMrllc8VLGhAgwB\nByperTCRpUtwUKrS2KyZmL/jPBdo7U9kRiL2cfuLSRDFruJAcay4u3he8dLiVcXrijcX7yjeV3y0\nGIIoPl9MKj1ifqZPV16spN5XWVAZrGyq7Knsq1xWubpyfeWWyp2V+yuPVZoWSlWUN4QGc4dGnTcQ\ns8r+T2RFqXj3RFwqeUXhiEbZtkR3rCcuunvt3lBReNK8uXlOt8k+wSUWTCt1ufxN8apYa9tfTKqc\ny1TVbRNcnS1Tn+3d5K6w6fPtXtHrDzW1/Kztr2UZ145cFutFl1AkVAgFUnEF12IqsPZUmFg9FTTz\nOa4iu5MHgkAjdH7HM4ne1tv8XlcolgwkFnX6fJ2LEvFFnf4VrXPntjDV3kRzq8MXKTfXTLsjHr9z\nak3VlDtv8n29peXriHtTJSwTX2RfEwJCTJgibE5NDaWmkQIw1SJHa0b/D+J9Bi8F6X0GC4NVwebg\nlOD84PIgoo1uDe4KHgi+GjSR+Vi7hr8jbbuz3d8ebZ/c3tu+pH1l+9r2Te3b2wfaj7RjbG0/1y4u\nFPY0iho+ZHvFGj7Ra8jOyauE80rVWFI3DaZuIv7kLj4mVma8ca4iJpV9dXRy/HddKf8Urcz6mKOH\niy/afRPLSibW1dic1RMipWWRSrvNFykraQzV2O1VSJnotzdXVzmqAl6zxRuocvmrh4+bfVXVDlup\n3VAbtFcHvVc80aDL5vHb8v0euzPQ6IHjg6M8YLMFyx3OQLTCH7UVl5vySt2WhkqTp9hmLizL9zdY\n3R45DtbI+3yB8GMu42amTsVDqQRJOE6m+7kkYQck7LjkIAk7Ch1VjmbHFMd8x3LHQ44Njq2OXY4D\njlcdXMJ8RMjnnc/SHyY5h51hfzganhzuDS8JYztoU3h7eCB8JAw5h8+FeV8gJRYKWHAwFQwJ/N+1\nFKfkf8072h4z3oaUryGaynLig0ifdl90Uy9yF7iD7iZ3j1v2Hlzv3uLe6d7vPuY2Ybe+v5F6Z6Or\nMdAYa+xunNe4tHFV47rGzY07Gvc1Hm1E72w830jGB+MW5E7XxKvsstQZx8OMW9ZRS3h+T2hqpMjd\n0FNX3+th1qquid6I21c2uSY8NVrpzO0qmhWuiHitVm+koibus7C7Y3+9YnrlpNm1NTPiFXV+k9tU\nveiWqNteU1zqiXbPmvMFX8xdG/eUttSXhnvm0Fh+50gN26TKFxoEB19b+NU1wp4y0cHbaJ2oV9eg\n2jSsomZOp8MqG1eT1zyNEdGJjXzk8Mttkm1yWPK4tq0z5ulUjInOhrAjYMsz8SStKU/DRJWhaILX\nUOgwiWetVqPZ5A7U1ZRphvVl829pdhbm5RvzjBOaI1oHu+xqaW0Jl2iMNuiqH45Usw94HfXYwdcJ\nGB00XpUuELPZIszX/t26gjuefan1JJvLCxxOq57EcxWOVIvt/DcGwUFcd/rQnhwRyyWNqMVzuRoZ\na4TVEit3FLIpw4dF8/Bk1ji8n50+GWOH2IGmScM3D0++CXl187z+iuelE7w8H64VcK2ECPX0il8/\nDqCFPVqRIWeNtZzPQOVWsXV4arsYP6nafaVXdeFKQYbj8qfst+I7gkbIEUKSBpaQWpEmeT39kSOq\nCDBK4t8IavqG/tBD2yI2lcpmY92tu3a1/sPx9es3eNk6tm74IdY1/P3h77Mu+BlRQeKP+Ejn5f2v\nRmgYncf8gyl/qN+pvoKJrHKov1jFK65iPi6YShFrSrX8ELHGiCMQmBiLRmNYmY3a2dMEwf9zuPgj\nMv7vZ02NoknntFrsueoJHs8EbYNuajQ6udDPJ+SXh+9gPxoWHuzoeNDaVGgqsZpdNmuOr742ou9p\n624pa/SW2+wT94vLP94sPv1xA68ytclbRi6IPaJGsAm9kk3N5aBTY7KEtqcflEzyBxv2rCRr9oOD\nr1ONoT1Wesm5oo4PsGRKhA0DPnvLQSN1GHL50MrbjhzivjzmUsLbs6rpEyd9a2/nH5n75omtTx3s\nGlm9sejBlsdavlm8iiNE2i3ME+eybwilwk3C7XvyNGZ1jRJKz2xJ1Q0Ke5pFCNIuGjhGxGqOboz3\nROZHHPnXbLSlIrQR7wnxxbMckw8pLYOpFuzBjd3p8o7bA3Pc+CtxrspaWlNaNs1f2VVUEdRM4B9r\nS8unVPq7Snw+XQ19LJtWqXyrtpTgW3/l5BKvT1fLvuFu8LtceXnOeo+7IVDgzMtz1ZXt5pfZxKCS\nSM3sFkHL35Wfa5C5gl/S6Plcrs8YCIqEuYTGIWGPHm+Fz+yNlQ6NxqHh3e8W9sHwQvad4Vz2AQu2\nvdT2zN+1LUkkrs53gpSTzVcS9WQ6o6d3m0PvNmdc9rHGyspGjYNR9t8dvo0XwbO/p+3vnuEFDP8M\n2fMxZf7IWTaTfPFyBHiHIqijl7nYDnIIGvXv+f88HkWWX+BmmV+AjzrvCmfG8A48lk2/jHQuK2Ek\nIL4oviKU8f4+g8JEY36z8fnNlpnsyNr2upoI+TRgGqxgZkyDKhvFu6Q/fMjJBJnmA0E0FijXeVmE\nedH/5V0mVq4SX8yGnLYYjTOGN82YyyZOZhO95fl2Cj89bGeRraMxqC3GnIMHxVc+bikvLKZY1GwD\ne0CJO/ZrcYdqPX/rufR8b7Pm66ZfYN7rpl9khWPS78im/5aVU3ovF9Zeut8o3y+cJfmZkM7lZxHK\n2VekonJogTBWXlMus1iDAOWQYuKsVRG7rInMJ/LAjA67hnIKLLsIrn7bAIJ3XNC/zFso4x/KsKHC\n2BVowAZ2RTI5y+SzvH6LCC0Th3J2OogrVLEVclSyFdJTOJl4C/A9QFP2jO6AWjG0UVgoFQ9x6QCO\nZclufJ9iwbZQ2gp4C/A9AMWBJTcrCtjqB+cqRQ1cB02zF8rteYAfp8XrcNULj4h9UHgPeck5BHWZ\nnA2A0YW6bAI0oXSKAjUVsDtLvjoVQFGfDqD0uSh9CnmJoWDyXO8GfI6XFBv134J9sZeP2Nasm7r3\n2b+dvWqm3z9z1ey/ZeLwcM+UKe+0P353e/vdj7e/014/e2kstnR2/W+44hKpnf943/wvz6+lNrCY\nv2svtQGT0gZ+MCb95mz6u8KxMemPZdMvC8fHpN+RTf+t8B80XizmfbGTt6VKYd6eAjVmiAIY22R7\n5Thdb1yvzJwD73EwJ/8ZV+fyGTEfFfA/hYNSpcpynS5Zbi130H/875h+KXaO6ZSG4TVs3/DX2bzh\nXewRS6ZbjumRhlzxlfbftA//rj3TJ7P96B9JVnal35WPSX8sm36ZVYxJvyOb/lsWUtLd4j+KJ7Pp\nv2OerAz/gvJ3yPlzKaI/UjqXITimHuQSgwWSRZlC+xlfu2BKH+pXqzNcJTm0E2yk67zBqziIx/Nq\nZ6zyMlLPGH3uUYkmPl8bGa16bQotCJZymEgW97DHenqGv9TDjg9/SXzl+ec/bmEzh/vZ12+5ZWRk\n5Jf8xQdU9/HncPL6a4V3TBRHceQKT8+lNiWnv2uQ4yvewv/sJznJ6b81yese20hAOMqfu0SI78lH\n2/kMrYbsDbFdUKI0D9e45uG18qcYbRZHx7YKdU/+DdrC6NhM9c0b+TX7E72nIuU9/Vp+f/y9Pkw2\nNsXyexX2Zd4r+y3dX0LP93aDMJpO95fQ/ZeEXZl8xqX/Tvj2de9fKnw8olHazW7Kv0yZJ9zZ9jQ2\n/SIzZ+u5m/IpU/L/ONNeVfn0firkPs+qx6Q/lk2/zIJj0tdn03/DEtly45ReK9dH2H/d9IvCP2Xr\nE6f61Cr1+QdKb+By/ojun6Dkc+i66ReEPdReGkYC7CPxpDBb+GXqllBqTih1i0KcmJpjSU0bktjE\naZjMS+lPaqKlv1MFBbrT2envjHZO7uztXNK5snNt56bO7Z3w9IYC3XmukyvQ8rbWNEt/jYor6TWX\nakhJrymsqapprplSM79mec1DNRtqttbsqjlQ82oNV4Zp70Lues28TTbz1soX40a+pPAX8gmVFRLT\nY6GlXy1ekUrlT82W/lbGle3Wi62kbLcWtAZbm1p7Wvtal7Wubl3fuqV1Z+v+1mOtJq5Aa1yK/gEV\nVDYBzWrQMb4UHuPxqx0l81FUajVXW6C3MIOotxpKQ47yKvvECZaKoDOozrWb85y5+fXNE+NVba5b\nmoqiNcWeSFtXW8QTaLulpuXz1a2hBcXRGnd01qJZ0aqO6uKSFqZSB3yuCkdugS/fXqjOM+VoNdYO\n0VHYFAqErOVhT2V9udNZXNNWH5neUOAP13eZPfXl4caKoglTk+GbJ+blqATl3brxDrPv9nfCJrnP\n8bYTpnceUtrODqUvusUwtZ2Qcv/mG6cr/iVhiuk5Y4+oVvxLdETJb1JGShoCr95+3GOGIoVFjprU\nGy1UqH49n4r4MGvC+kTeZ4000l6rIyKWvtXz1lvvihXvvsW+OXwv+2bLnvb2PVS3uXxeWEDjYz3V\n7R3egkfTb86mvyv8fEz6Y9n0y+PSv51Nf0/45Zj09dn03wh/pGefy+fiBfzZY8KzqaYQb5appow3\nfjMFSTTZArL2SBpxwNLv4yu9GCVmh95xVn5EK5P5YOQfjJlxmEy68MFo6S9h2BQqcZUESsYe2G4u\n2VGyr+RoCTaFSs7Dqimmsl8zpfOmjF1seKCpeXNW0yW13TGr7pdGx3FV54SGuKPHXl5V5c8zBaqq\nyu09jnjEH3WarhnbVaqC4rm317IXh6dHpjSUWDQaS0nDlAhLD3fW3j632K4pyM8M+4q+oUqRXGPK\n/P9/aF7js7Q4ndKblfFIbpsunu6g9BZl/Hp6TPod2fTfCk9m4gyzfxa/xtMn0Tzx5JeEMemvZNPn\nfEne0gjz8e4X7CzXvmcwdWpmKDUrlKobws67vEUo2eqIQ3CmJVU0iGOJOksqMpiKhLBw71Bj6Otw\ndvg7oh2TO3o7lnSs7FjbsaljeweYMDD0dZzrEImW4ebR9VoVf69VudebeRv4h4arz8D2lImT+JBn\nUxF1ShVvUdhM9F300fjmK/AFfU2+Hl+fb5lvtW+9b4tvp2+/75jPtFC6Sf4J1wp6aE+xx9UT6In1\ndPfM61nas6pnXc/mnh09+3qO9qD59JzvwZ7i+KWgFw6MmRQ+/kUaJ3ordAHZ6RMWcmMWAqqxtpeN\n7Bdj1wVMpRJLZjZ74hOKEvPvrC5ffctNwfYvV7TWFWtUpsyK4YuF07rqbWUBu6/RZx23fLAGbaEq\nbEk2t5XpjQ/FQp32qkk1Py5K2LIK30qNLeh1lTtyCqpinsza8XfsJ/TOe6mNtAl7rpv+OWWuvDp9\nntIGr05fKnyH0oMj74s/Fd/n6YvltYcoUptC+mzxfT6jR1lBKhbCQCEOEfEYbe2lYhlv5AmZjfoJ\nmeY1QXFLxmBahlESQeZ5I/M6vX5v1DvZ2+td4l3pXevd5N3uRQRoNDLvOW+GAdTDG40nQ15G40zu\nVaPw+CVqBYZkSZML3g7JTX8wQPPKVNB2Eh+gg9R2gq5gIBgLdgfnBZcGVwXBI7wjuC94NIi2Ezwf\nlKnBG9A0Gy42UNNsKGgINjQ19DT0NSxrWN2wvmFLw86G/Q3HGjD1YqxvvDZAWob17SqKSXF29Lph\n0o4ebY8Oe66OqSaGPx68JiL17okbNw6vvYpYLDs2XKH3u1x57/8wJv1r2fQnhb+/7v1zsu1kfPpS\nrEWVMeYKH2NiQlL4ZqotBK6ftsyxULsFHuZ59lJI3i5zupda+pv4HzpokGLyV2WWVHIwlQxlR5EM\nMd+eJtHDX2GeqhCvMEZ/sCZK4FUkLiboVSQKEsFEU6In0ZdYllidWJ/YktiZ2J84ljBd0+Vprsgc\njTnK6TAo5ho/WdjkkyIHWzvayTWaCcHaZKUv2dvQOLe5dPhhVXFdi7fxZnukOuLxui1yH2+b1VPW\nMqFoTO/WqEWLTXlP/tZbw6XeSRPc9WXVja48TbFT6d1/1zGnsDpakhnLLaKL5PxFpf8OXDd9jnDw\nuulLhe+PSX83m/6+sF32YeYT/WkVYtU/ruT/93w+YtjhYad5vy4T+lPlIRBglVtSBYOpghCd3DIy\nyVYN4gVVYPuw38RTuapePCizDYyhrcr00HH+FeMmfxf/4JJHf/RQlbFE3qLst+K9Wi9a6b1aC6xB\na5O1x9pnXWZdbV1v3WLdad1vPWY1kXkwH1zK0JnR3eR4M04HX2Ipb8/hzZIsTvuXrCt6dAo5ore0\ntP+LGNouu6IPv8FUM+aQI7oYaty4UdZFT3F5FIuQ0zKaU38sCpm5nAnUb+T0J5k81+q5LvqiuJ9r\nXlXCQ3tKVT7YmPgu0TyW4yv0VfkQSXG+b7nvId8G31bfLt8B36uYx8w+6gLmUH8+l6hPCYMgpAKh\nccrsdafUMcps4NOVWdWYfdSxe5AGsT0vM02x0vz8UvwbN0Wx14drM5ORyuEoKsI/0sFHfj5iEbay\n1wWbMH2PUZMDHTw7BueO3T/VT5oPVYaPtmqXOqDOGLeuUq9Tb1bvUO9TH1VjtFWfV2Om1rkU5QSr\nOVJgnCq9TV9QkqduF12xicUF/8hEdX5JhVX0f/xabn2DP1d+P7w+XGfh/YF9jt7P54YFxXffzX5J\n89nXKP13C+X0efwhnKqdPP0JZR4tFn6lpM+k+5+g+y89IN/vHnEL28ak/+7SaD438f6TyWep8I2R\nHJ7eQf0K/XOLkv8/0v1Xp88TnpLTeT1Ps7PZ9N8JX6X0/HH38/q8mF37ieXUHp9WxvH+MemvZNPn\n3CB9rfAmpVOcKUo/RPm3zZDzt/P63Er1kdN/9ys5vfSq++cl5PRxsRGQz6rrp39ukbyHU87nD8QI\nuUW4CIV8Lqnisk4+15KaDp18Osw6atSfUa8mfzDo7l20tuhydvm7ol2Tu3q7lnSt7Frbtalre9dA\n15EurC26znXxqZ2WK1zpRzlZq4IxmnnuZ9PMkxi7kheTNHYlC5LBZFOyJ9mXXJZcnVyf3JLcmdyf\nPJbEnOT6zJr5uIAWuquCX5CS86Mb6ueN4aq6G8S7SIyPjFFuy7++gt6jsjpuEAcjcHXEDL1alN+z\nG+8z+55/N1dQ9O332YP0/n+o7GU9ldHDwf+rpPP7m4Qbp4/hC64Qntuj1WDjV0sewE4iZ3TSClOL\n5aWAQ8LsnDQu9GbuVec6e1SiWi3H+MWRAlnl8XHK4DIEDDFDt2GeYalhlWGdYbNhh2Gf4agB45Th\nPEip86we5aDVRY4XhYPKArNYmZa4pj+e+rdR3gLI0P/+5V+OJwCeMUOmAF7S+NBYDuC/bVwCEuAs\nB8n3ZA4SLscfg4Mkm/61bPqTinzHcZbQOPD0mPSL2fR/FbZm0sX8MfevFU4KModNgI3wcb5ZGFCs\nU2qGaMaSz2fjyhq/vxTKJdmR1OCMN1UXwkeK4pNd3Y3jHb6xwkhBfTIfMqaBXFUE+XC/l16RF1Gr\nYt5u7zzvUu8q7zrvZu8O7z7vUWgOJ73nQa7YTPdfV/e7AXnN2OO6kXHz5PVJba5/QvAJVDfZzWJl\n3+oVkveQsh77jTDqY634YGO8VMbRcX6aGF8/f/30pcr8thh7PeIrgrx3rhOKhB8p79nC79/P09dT\n+leFd+g9+4XXWIBZYQsBbY4NUUjKIUGOt90KzySK5XBWhGNoJXxKA8MjjL3WLq+DAP/EyxOFXPYX\ne7RqDR82x3kxbcN5VyuM/VtxZcbVGbUc+AFG3FjoF4D/Y59wFJ63CE8vG7bL7BphBRZKg4CNYLfR\ng+pFJDrUi/BQ3s+OwUPZBb+CHL2okGgslHJyFG4HKVdFqX+Ab3AUoIXTQRm4ZFPwyHwNAKcMaRvA\njC/uU9JWSGdxNQvwqDFjyEqnJFeHg8YRuOyjKIl0lf6++AMEuxwS/xOsWn8HUd4lypHU9Rg8Ml6w\nq+B+NR9UBb3w9V3GVuOJdoHaZYpmPuhJQGeWnqzthddvN4QC1utYuYrRkXOg/CUW2Tr8sXy2PHfG\n8KYr7IGPN+Ks4qDynlQPkT+VjU0FqaZAMdbNQ/15XJhfAJ/LixwGvpL3VN7uPNUKSZVngMRA+C8z\nJRyE31Yu4DwdZsKlC4R6IoWRBCGdmrLMGZJeUPiGFkpn4Lm7JueJLN+EGbwm2iHJJGd/0ARud0vK\nMpQ0g452jeUJyzbLC5aXLboVSVvcMtWywHKX5WHLVyxPWXZbDlpyFqbftFyCGXaORdnUegHMXmYH\n2AZmOhY57nOscTzh0Cy8Dq1/lsBEsOYqnqRW+RRRHBy4W3xE/BswE8bxjo4T/Zl8mybUr+X35BI/\nNl6ZkT5RjHlm9aoq5dNF3jV0XnhesxHD71kPsw//J2sYXjt88tFb2b+z54bfZHr28PDaDThGPHJE\nfIU6ENhwKpIC0+wpEITc3AZBLYRGXuQYHfkRx9jInzg2jwxwjBMmCF8a2c3xrZFfcxwi/BnhGcKz\nQBZFPixG2ESYRG6sDTmwh+meRzhqqEQNlaihEjVUooZK1FCJGipRQyVqqEQNlaihEjVUooZK1FCJ\nGipRQyVqqEQNlaihErVUopZK1FKJWipRSyVqqUQtlailErVUopZK1FKJWipRSyVqqUQtlailErVU\nopZK1FKJOipRRyXqqEQdlaijEnVUoo5K1FGJOipRRyXqqEQdlaijEnVUoo5K1FGJOipRRyXqqEQ9\nlainEvVUop5K1FOJeipRTyXqqUQ9lainEvVUop5K1FOJeipRTyXqqUQ9lainEvVUok1Qj7zKUUOo\nJdQR6gkXjqzhmCI8jhRmIDQSmggf41jCa/5djlHCGKU0jzyLU1fCBOFLhD8beYvjGcKzQEa/4rUF\nNhEmkQOvLb+f1/MtoZrXc4CjhlBLqCPUEy4cWcoxRXgcKbyeQCOhifAxjrVCiLeDWiFKGBMsHJtH\nfscxTpgg/JlQwPEM4Vkgo/tZjLCJMInf8hry+9kj/J4Qr+GLHDWEWkIdoZ5w0sjXObYSJgnbCTsJ\nJxNOI+wl7CO8jXAh4XLCuwjvJryH8F7CdfwdhYT1I3/k+DSlPEP4LOE2wm8T7iZMER7i0g4J/0bX\nrxAeITxOdT5B354kfIPwFOFpwiG682eEZwjPArnk+W+55IEmQnpG1kVIT8q6CXsIpxBOJbyZcAbh\nTMJZhLMJF+Dp2BK6Xkq4jHA56sPuIrybkCTDSDLszwnvI3yAvn2QcCXhKsLVhA8RPkx3PkK4hkp8\njD9FlHpKlHpKlHpKlHpKlHpKlL9fYCthkrCdsJNwMuE0wtt4O4xSz4ryd4qUuwjvJryH8F7CdYTw\nt47yd4rrZwifJdxG+G3C3YQpyvMQ7y9R/h5RynFKP0EpJwnfIDxFeJoQo0eURo8ojR5R6uNR6uNR\n6uNRRk/B3yCQnoW/KeAMwpmEswhnEy5AnfmbwvVSwmWEy1Eif1PAuwkfIHyQcCXhKsLVhA8RPkK1\nWkN5YrSJ8Xfxa44aQi2hjlBPOIn/KsbfBTBJ2E7YSTiZcBrhbXT/Qi6rGH8XuL6L8G7CewjvJVzP\n+3iMvwVcP0P4LOE2wm8T7iZMUW6H6PoI4XHCE4QnCd8gPEV4GshlDjQSmgiptlzmQKozlznSZxDO\nJJxFOJtwAWrIZY7rpYTLCOm5GD0Xo+fiMgc+SLiScBXhasKHCNdQbo/x62Yae5tp7G2msbeZxt5m\nGnububS/y7GVMEnYTthJOJlwGuFthAtHHue4nK7vIryb8B7CewnX8d7XTKNZM5c5Up4hfJZwG+G3\nCXcT/gPVJDXyDMe9lHKE8DilnyA8SfgG4SnC04Rv8RbVTPNFM80XzTRfNDOqP5c/kJ6Cyx84g3Am\n4SzC2YQYnZq5/HG9lHAZ4QOU24OEKwlXEa4mfIhwDf0WM1ScpB0nacdJ2nGSdpykHSdpx0nacZJ2\nnKQdJ2nHSdpxknacpB0nacdJ2nGSdpykHSdpx0nacZJ2nKQdJ2nHSdpxknacpB0nacdJ2nGSdpyk\nHSdpx0nacZJ2nKQdJ2nHSdpxknacpB0nacdJ2nGSdpykHSdpx0nacZJ2nKQdJ2nHSdpxknacpB0n\nacdJ2nGSdpykHSdpx0nacZJ2nKQdJ2nHSdpxknacpJ0gaSdI2gmSdoKknSBpJ0jaCZJ2gqSdIGkn\nSNoJknaCpJ0gaSdI2gmSdoKknSBpJ0jaCZJ2gqSdIGknSNoJknaCpJ0gaSdI2gmSdoKknSBpJ0ja\nCZJ2gqSdIGknSNoJknaCpJ0gaSdI2gmSdoKknSBpJ0jaCZJ2gqSdIGknSNoJknaCpJ0gaSdI2gmS\ndoKknSBpJ0jaCZJ2gqSdIGknSNoJknaCpJ0gaa8UMNqsFF4S8oUXhRdHhvjVS4RYgbxEK5CXhB/y\ne16iGfwlmsFfohn8JZrBX2L307crCP+C4yG+XgL2ES7ktTqE/QyOywnvIryb8B7Cewm/SIgZ9pDw\nTV6fQ8IWwqcIn6ZvnyF8lnAb4bcJdxOmqKy9uObrGWAP4RTCqYTTCG8mnEE4k3AW4WzCWwjnEM4l\nvJXw86gJu53wDsI7CZfQt0sJMcIfJ63hOGkNx0lrOE5aw3HSGo6T1nCctIbjpDUcJ63hOM37x2ne\nP07z/nHSGo6T1nCctIbjpDUcJ63hOGkNx2kufotmzLdophvi169yTHH8Gcn/ZySZM3R9hq7P0vVZ\nXDMDasuR15Yjry1HXluOccIEIa8tR15bjkOEPyM8Q3gWiNpyjBE2ESaRG2rL8WG6h9eWGalEI5Vo\npBKNVKKRSjRSiUYq0UglGqlEI5VopBKNVKKRSjRSiUYq0UglGqlEI5VopBJNVKKJSjRRiSYq0UQl\nmqhEE5VoohJNVKKJSjRRiSYq0UQlmqhEE5VoohJNVKKJSjRRiZXQvzhGCbn+xZHrXxzjhAnClwi5\n/sXxDOFZIKNfQf/i2ESYRA7Qvzhy/Yv5KX8/5e+n/P2Uv5/y91P+fsrfT/n7KX8/5e+n/P2Uv5/y\n91P+fsrfT/kHKP8A5R+g/AOUf4DyD1D+Aco/QPkHKP8A5R+g/AOUf4DyD1D+Aco/QPkHKf8g5R+k\n/IOUf5DyD1L+Qco/SPkHKf8g5R+k/IOUf5DyD1L+Qco/SPmHoPNxjBJyvZIj1ys5xgkThFyv5HiG\n8CyQ0f3QKzk2ESbxW+iVHLleycKUc5hyDlPOYco5TDmHKecw5RymnMOUc5hyDlPOYco5TDmHKecw\n5VxPOddTzvWUcz3lXE8511PO9ZRzPeVcTznXU871lHM95VxPOddTzvWUM3SlFxl0JaCWUEeoJ+S6\nMIOuBEwSthN2Ek4mnEbYS9hHeBvhQsLlhHcR3k14D+G9hFwX5shnWAa9CSnPED5LuI3w24S7CVOE\nXBfm+G90/cr/7e1MgOwo7jPerZV2Vxe3AWMsP+MDDEKWhGBmxGGt7gvd4pAlpKe3o92Zefve8o6V\nVoBlrxHIB5CkcscCh5CkApWEHChEoOC4HBIUJakk5iocQ27HSZzEOSqpOFH+329mtU+ywJWqVLx+\n3+s309PT/f96ju7+PgG+CB6nzi+z9xXwVfA18HXwa+T8Ovgm+JZQY2GvkZRwJkgbNRb2GkkJV4Ar\nwVXgavBWcB24HtwAbgS3qXUaC3uNsISDYKL6aCzsNcISEhlPZPQkNayDLfa2wRFwL7gPHAX3k/Me\n8ABntLGwD+A3gN8AfgP4DeA3gN8AfgP4DeA3gN8AfgP4DeA3gN8AfgP4DeA3gN8AfgP4DeA3gN8A\nfgP4DeA3gN8AfgP4DeA3gN8AfgP4DeA3gN8AfgP4DeA3gN8AfgP4DeA3gN8AfgP4DeA3gN8AfgP4\nDeA3gN8AfgP4DeA3gN8AfgP4DeA3gN8AfgP4DeA3gN8AfgP4DeA3gN8AfgP4DeA3gN8AfgP4DeA3\ngN8AfgP4DeA3gN8AfgP4DeE3hN8QfkP4DeE3hN8QfkP4DeE3hN8QfkP4DeE3hN8QfkP4DeE3hN8Q\nfkP4DeE3hN8QfkP4DeE3hN8QfkP4DeE3hN8QfkP4DeE3hN8QfkP4DeE3hN8QfkP4DeE3hN8QfkP4\nDeE3hN8QfkP4DeE3hN8QfkP4DeE3hN8QfkP4DeE3hN8QfkP4DeE3hN8QfkP4DeE3hN8QfkP4DeE3\nhN8QfkP4DeE3hN8QfkP4DeE3hN8QfkP4jeA3gt8IfiP4jeA3gt8IfiP4jeA3gt8IfiP4jeA3gt8I\nfiP4jeA3gt8IfiP4jeA3gl9G9z6C3wh+I/iN4DeC3wh+I/iN4DeC3wh+I/iN4DeC3wh+I/iN4DeC\n3wh+I/iN4DeC3wh+I/iN4DeC3wh+I/iN4DeC3wh+I/iN4DeC3wh+I/iN4JfZAB/BbwS/EfxG8BvB\nbwS/EfxG8BvBbwS/EfxG8BvBbwS/EfxG8BvBbwS/zCH4CH4XaX7McArYDfaAveAt9saySPNjhovA\nxeBScDm4BtxOfnvbN0xIp2AGVsEh8JA99xdp3GR4GHwUfAx8HHwSfJrSvkT6RfA4+DL4Cvgq+Br4\nulDzY4YzwJkgtdX8mCF11jjLcB24HtwAbgS3qYYaPRkOgIMg7fK0y9MuzY8ZtsERcC+4DxwFD1Da\nmKX7NIdgOAXsBnvAXvAWY6pPcwiGi8DF4FJwObgG3A7uOHnQMCGdghlYBYfAB43xPq6gPs0hGB4G\nHwUfAx8HnwSfoiZPnzxs+AxbXgSPs/1l8BXwVfA18HXwDXvX7dMcguEMcCZI/TWHYEgrNIdguA5c\nD24AN4K6Ivo0h2A4AA6CLUprgyPgXnAfOAoe4NgxS69xa12/YQscccsND5I+5LYZPgQ+zJZHwCPg\ns26+4VF3k+Fz4PPkPAa+AJ5wG/waf5vyW2+xLX4H6bvAneAusAwOk/9usAEesKN2Wg03GLbsLDut\nhlcZHmTLIfAh8GHwEfAIOZ91FxketXrutBoKn2f7MfAF8ISb5XdaDe0oq6FwB3gXuBPcBZbBYfLf\nDTbAA7Y90ZyJ4R2gjc0Nd5FOwBTMwCo4BN4HPmj9IdGcieGPgj8OfoG9h8FHwcfAx8Enwac51zNK\na87EcCW4ClwNrgHXgreC68D14AZwI7gJ3AxuAbeCu1UfzZwY9oMxuIe9A6Cu/ZQ4pMQhJQ4pcUiJ\nQ0ocUuKQEoeUOKTEISUOKXFIiUNKHFLikBKHlDikxCElDilxSIlDShxS4pASh5Q4pMQhJQ4pcUiJ\nQ0ocUuKQEoeUOKTEISUOKXFIiUNKHFLikBKHlDikxCElDilxyIhDRhwy4pARh4w4ZMQhIw4ZcciI\nQ0YcMuKQEYeMOGTEISMOGXHIiENGHDLikBGHjDhkxCEjDhlxyIhDRhwy4pARh4w4ZMQhIw4ZcciI\nQ0YcMuKQEYeMOGTEISMOGXHIiENGHDLikBGHYbtyZxm2wIPgIfAh8GHwEfCI0K5E4TZwB3gXuBPc\nBZbBA4b7NVdm+LThPcT5HiIwxnzRGPNFY8wXjTFfNMZ80RjzRWPMF40xXzTGfNEY80VjzBeNMV80\nxnzRGPNFY8wXjTFfNMZ80RjzRWPM4Dl3ib8s/68qGU7PNSVos3rsV57uciV3QZGe3JFniuWZX6S7\nbXtUpKUnXFqkLyB/l/OTp9r3Z/XfWCHt3cXGRp6e5M7x+4p0l1vkHyjSkzvyTLE8Lxbpbtv+1SLd\n46/y3yzSve6yrguK9FQ3q2t2kZ7W/Uddq4v0dDdn2uVFeoZbPW18+3luxrQfLNLnu95pX+wbiWtJ\no7S4Xs82xQPtarnRseXGUjhnbv918bwbS/Pnzpt/7dwF9v9iU57tWmUrjkiapXKp1Sj3x0PlRlaq\n7ymtjJP+uLo7bgzEjdLSRruSDZWblcGkFtdKfStml+J9lWq7mYzE1dFSNanEtWbcX2oNNurtgcHS\n2qRWb40Ox6UVQ7tXzi6Va/2lofJoaXdcasQDSbMVNyxzUitV4karbN9pu5E0+5NKK6nXmnPcEld3\nw27UNVziBtyg9fGfM37nu7lOs0ol6/mJq1meluUZdrFtWeGG3G630s229F7+5rjqGbnmuIr9GrLv\nkrM3FPsrdZyhya/YvmP7HjHst5x9pGqWq2H7F9vxdZe5TbZtwLWthLJtP3ueGy0dWglzrZzrbP88\ntqgN8wyvte8FBZ6eq7O0a0+Vdvo5Empbtk/Lftvz3fYNUZfMttXdHsOVti1hT9UiozYNgCXr9w2r\ne8Xy6pimpQaJlMpXZFYQxdjtsz1Vy9m0vSOUM2rbFdUKeZvESHUYtBLrllOR/F7slG2fjtK5Vd5u\ncjSIqNrVopZ5yQk1qrClZfnz36mdqUHefurSMqxTnznvcO4+y62jypSxnBi0YD+Gw3faWyKOTX7X\nirqdyYiOm2f3l9D+8nbuKdpSsrrEsNM8xc6g/R7hqIEiJnkZ461XHMZLbbK/SSqmlnuIet7CPba3\nwhHq16s44szydKbYrgldGwl8fTdLs6lVXJwvoY357z1w3zpVbt3iWSUW5VOxV33qZ8Qp76HVom+V\nicREW5LiqPwc4/046Sgxj9Qy27O7OHq87yyHnTbHzKYPtalfXoeynbNJSn0so/w2sRsvc/ys6uPD\nRUzFZYWt42dpEptq0SvV0/L25deC7lBDHNXq4HWiPXuLfSo5j3il2KJ6j8LWliL3Xju6cZZeNUTc\n8nhdaeWPtzq2X+MRXM7vGlfxRN0HC/abRZ3KRXzGa3d631Ht98JcicgNdcQqKUqZ6E3DnLF1FvY7\neZnDvTDnpW15FMecizPZO9u9Le+ZJTtX3t783qOrMa9dC84q3FMTcg5yLytRVqPgq8w9vknuOmc/\nPR5lys63JNwR8+s1z9HZPwdhKHH7aW+r6GPj97OSu8K2X3Fa2ae3o0xbVLqupgrbKrRY99j4t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        "metadata": {},
        "output_type": "display_data",
-       "png": 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+       "png": "iVBORw0KGgoAAAANSUhEUgAAAJgAAABWCAYAAAAzIF/lAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nxCsMGOIVBgzxCgOGeIUBQ7z6LzWkj3n7AHKHAAAAAElFTkSuQmCC\n",
        "text": [
-        "<matplotlib.figure.Figure at 0x108c8f1d0>"
+        "<matplotlib.figure.Figure at 0x10b0ecf10>"
        ]
       }
      ],
-     "prompt_number": 14
+     "prompt_number": 9
     },
     {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
       "```python\n",
       "def foo(bar=1):\n",
       "    \"\"\"docstring\"\"\"\n",
       "    raise Exception(\"message\")\n",
       "```"
      ]
     }
    ],
    "metadata": {}
   }
  ]
 }
  No newline at end of file

IPython/nbconvert/utils/base.py

@@ -1,40 +1,40
 """Global configuration class."""
 #-----------------------------------------------------------------------------
 # Copyright (c) 2013, the IPython Development Team.
 #
 # Distributed under the terms of the Modified BSD License.
 #
 # The full license is in the file COPYING.txt, distributed with this software.
 #-----------------------------------------------------------------------------
 
 #-----------------------------------------------------------------------------
 # Imports
 #-----------------------------------------------------------------------------
 
 from IPython.utils.traitlets import List
 from IPython.config.configurable import LoggingConfigurable
 from IPython.utils.traitlets import Unicode
 
 #-----------------------------------------------------------------------------
 # Classes and functions
 #-----------------------------------------------------------------------------
            
 class NbConvertBase(LoggingConfigurable):
     """Global configurable class for shared config
 
-    Usefull for display data priority that might be use by many trasnformers
+    Useful for display data priority that might be use by many transformers
     """
 
-    display_data_priority = List(['html', 'pdf', 'svg', 'latex', 'png', 'jpg', 'jpeg' , 'text'],
+    display_data_priority = List(['html', 'application/pdf', 'svg', 'latex', 'png', 'jpg', 'jpeg' , 'text'],
             config=True,
               help= """
-                    An ordered list of prefered output type, the first
-                    encounterd will usually be used when converting discarding
+                    An ordered list of preferred output type, the first
+                    encountered will usually be used when converting discarding
                     the others.
                     """
             )
 
     default_language = Unicode('ipython', config=True, help='default highlight language')
 
     def __init__(self, **kw):
         super(NbConvertBase, self).__init__(**kw)