Export in React Diagram
2 Sep 202624 minutes to read
The React Diagram component provides comprehensive support for exporting diagram content as image files (JPG, PNG) or vector graphics (SVG). This functionality enables users to save diagrams for documentation, presentations, or further processing. The exportDiagram method serves as the primary interface for all export operations.
To export diagrams, inject
PrintAndExportin the diagram component. The following snippet shows the required imports and how to inject the module.
Basic Export Example
The following code demonstrates a simple diagram export operation. The exportDiagram call is placed inside a button click handler so that the diagram instance is available (the ref is not assigned until after the component mounts).
import * as React from 'react';
import * as ReactDOM from 'react-dom/client';
import { DiagramComponent, Inject, PrintAndExport } from '@syncfusion/ej2-react-diagrams';
function App() {
let diagramInstance;
function handleExport() {
let options = {};
options.mode = 'Download';
diagramInstance.exportDiagram(options);
}
return (
<div>
<button onClick={handleExport}>Export</button>
<DiagramComponent
id="container"
width={'1500'}
height={'1500'}
ref={(diagram) => (diagramInstance = diagram)}
>
<Inject services={[PrintAndExport]} />
</DiagramComponent>
</div>
);
}
const root = ReactDOM.createRoot(document.getElementById('diagram'));
root.render(<App />);
To export the React Diagram elements in various formats, refer to below video link.
Export Configuration Options
The diagram component supports extensive customization through the exportOptions interface. The following table details all available configuration properties:
| Name | Type | Default | Description | Example Values |
|---|---|---|---|---|
| bounds | Rect |
0 | Defines specific bounds for the CustomBounds region export. |
new Rect(0, 0, 300, 300) |
| region | DiagramRegions |
‘PageSettings’ | Specifies the area of the diagram to be exported using the DiagramRegions type. |
‘PageSettings’, ‘Content’, ‘CustomBounds’ |
| fileName | string |
‘diagram’ | Sets the name of the exported file. | ‘Diagram’, ‘Export’ |
| format | FileFormats |
‘JPG’ | Defines the format of the exported file using the FileFormats type. |
‘JPG’, ‘PNG’, ‘SVG’ |
| mode | ExportModes |
‘Download’ | Controls how the exported content is delivered using the ExportModes type. |
‘Download’, ‘Data’ |
| margin | MarginModel |
{ left: 0, top: 0, bottom: 0, right: 0 } | Sets the margin spacing around the exported content in pixels. | { left: 10, top: 10, bottom: 10, right: 10 } |
| stretch | Stretch |
‘Stretch’ | Resizes the diagram content to fit the allocated export space using the Stretch type. |
‘None’, ‘Stretch’, ‘Meet’, ‘Slice’ |
| multiplePage | boolean |
false | Enables exporting the diagram across multiple pages when content exceeds single page dimensions. | true, false |
| pageWidth | number |
null | Defines the width of each page in pixels when using multiple page export. | 816, 1056 |
| pageHeight | number |
null | Sets the height of each page in pixels for multiple page export scenarios. | 1056, 816 |
| pageOrientation | PageOrientation |
‘Landscape’ | Controls the page orientation for the exported output using the PageOrientation type. |
‘Landscape’, ‘Portrait’ |
File Name Configuration
fileName property specifies the name for downloaded files. When not specified, the default name diagram is used.
Export Formats
The Format property determines the output file type. The component supports three formats with distinct characteristics:
- JPG: Compressed format suitable for photographs and complex diagrams with many colors.
- PNG: Lossless format ideal for diagrams with transparency or sharp edges.
- SVG: Vector format that maintains quality at any scale and supports text selection.
The default export format is JPG. The following example shows format specification:
import * as React from "react";
import * as ReactDOM from "react-dom";
import { DiagramComponent, Inject, PrintAndExport, SnapConstraints } from "@syncfusion/ej2-react-diagrams";
export default function App() {
let diagramInstance;
let exportFormatInstance;
// Initialize Nodes for the diagram
let nodes = [
{
id: 'node1',
width: 100,
height: 50,
offsetX: 100,
offsetY: 100,
style: { strokeColor: '#868686', fill: '#d5f5d5' },
annotations: [{ content: 'Node 1' }],
},
{
id: 'node2',
width: 100,
height: 75,
offsetX: 100,
offsetY: 225,
shape: { type: 'Basic', shape: 'Diamond' },
style: { strokeColor: '#8f908f', fill: '#e2f3fa' },
annotations: [{ content: 'Node 2' }],
}
];
//Function to export the diagram objects.
function handleExport() {
let exportOptions = {}
//Sets the export format
exportOptions.format = exportFormatInstance.value;
exportOptions.fileName = 'Export';
diagramInstance.exportDiagram(exportOptions);
};
return (
// Initialize Diagram component
<div>
<label>Export as </label>
<select id="exportFormat" onChange={handleExport} ref={(exportFormat) => (exportFormatInstance = exportFormat)}>
<option value="PNG">PNG</option>
<option value="JPG">JPG</option>
<option value="SVG">SVG</option>
</select>
<DiagramComponent
id="container"
ref={(diagram) => (diagramInstance = diagram)}
width={'100%'}
height={'600px'}
nodes={nodes}
snapSettings=
>
<Inject services={[PrintAndExport]} />
</DiagramComponent>
</div>
);
};
// Render the App component into the 'diagram' element in the DOM
const root = ReactDOM.createRoot(document.getElementById("diagram"));
root.render(<App />);import * as React from "react";
import * as ReactDOM from "react-dom";
import { DiagramComponent, Inject, IExportOptions, NodeModel, FileFormats,
PrintAndExport, SnapConstraints } from "@syncfusion/ej2-react-diagrams";
export default function App() {
let diagramInstance: DiagramComponent;
let exportFormatInstance: HTMLSelectElement;
// Initialize Nodes for the diagram
let nodes: NodeModel[] = [
{
id: 'node1',
width: 100,
height: 50,
offsetX: 100,
offsetY: 100,
style: { strokeColor: '#868686', fill: '#d5f5d5' },
annotations: [{ content: 'Node 1' }],
},
{
id: 'node2',
width: 100,
height: 75,
offsetX: 100,
offsetY: 225,
shape: { type: 'Basic', shape: 'Diamond' },
style: { strokeColor: '#8f908f', fill: '#e2f3fa' },
annotations: [{ content: 'Node 2' }],
}
];
//Function to export the diagram objects.
function handleExport() {
let exportOptions: IExportOptions = {};
//Sets the export format
exportOptions.format = (exportFormatInstance.value) as FileFormats;
exportOptions.fileName = 'Export';
diagramInstance.exportDiagram(exportOptions);
};
return (
// Initialize Diagram component
<div>
<label>Export as </label>
<select id="exportFormat" onChange={handleExport} ref={(exportFormat: any) => (exportFormatInstance = exportFormat)}>
<option value="PNG">PNG</option>
<option value="JPG">JPG</option>
<option value="SVG">SVG</option>
</select>
<DiagramComponent
id="container"
ref={(diagram: any) => (diagramInstance = diagram)}
width={'100%'}
height={'600px'}
nodes={nodes}
snapSettings=
>
<Inject services={[PrintAndExport]} />
</DiagramComponent>
</div>
);
};
// Render the App component into the 'diagram' element in the DOM
const root = ReactDOM.createRoot(document.getElementById("diagram") as HTMLElement);
root.render(<App />);Margin Configuration
The margin property adds whitespace around the exported diagram content. This spacing improves presentation and prevents content from appearing cramped.
import * as React from "react";
import * as ReactDOM from "react-dom";
import { DiagramComponent, Inject, PrintAndExport, SnapConstraints } from "@syncfusion/ej2-react-diagrams";
export default function App() {
let diagramInstance;
// Initialize Nodes for the diagram
let nodes = [
{
id: 'node1',
width: 100,
height: 50,
offsetX: 100,
offsetY: 100,
style: { strokeColor: '#868686', fill: '#d5f5d5' },
annotations: [{ content: 'Node 1' }],
},
{
id: 'node2',
width: 100,
height: 75,
offsetX: 100,
offsetY: 225,
shape: { type: 'Basic', shape: 'Diamond' },
style: { strokeColor: '#8f908f', fill: '#e2f3fa' },
annotations: [{ content: 'Node 2' }],
}
];
//Function to export the diagram objects.
function handleExport() {
let exportOptions = {}
//Sets the margin for the exported image
exportOptions.margin = { left: 100, top: 100, bottom: 100, right: 100 };
diagramInstance.exportDiagram(exportOptions);
};
return (
// Initialize Diagram component
<div>
<button id="export" onClick={handleExport}>Export Diagram</button>
<DiagramComponent
id="container"
ref={(diagram) => (diagramInstance = diagram)}
width={'100%'}
height={'600px'}
nodes={nodes}
snapSettings=
>
<Inject services={[PrintAndExport]} />
</DiagramComponent>
</div>
);
};
// Render the App component into the 'diagram' element in the DOM
const root = ReactDOM.createRoot(document.getElementById("diagram"));
root.render(<App />);import * as React from "react";
import * as ReactDOM from "react-dom";
import { DiagramComponent, Inject, IExportOptions, NodeModel,
PrintAndExport, SnapConstraints } from "@syncfusion/ej2-react-diagrams";
export default function App() {
let diagramInstance: DiagramComponent;
// Initialize Nodes for the diagram
let nodes: NodeModel[] = [
{
id: 'node1',
width: 100,
height: 50,
offsetX: 100,
offsetY: 100,
style: { strokeColor: '#868686', fill: '#d5f5d5' },
annotations: [{ content: 'Node 1' }],
},
{
id: 'node2',
width: 100,
height: 75,
offsetX: 100,
offsetY: 225,
shape: { type: 'Basic', shape: 'Diamond' },
style: { strokeColor: '#8f908f', fill: '#e2f3fa' },
annotations: [{ content: 'Node 2' }],
}
];
//Function to print the diagram objects.
function handleExport() {
let exportOptions: IExportOptions = {};
//Sets the margin for the exported image
exportOptions.margin = { left: 100, top: 100, bottom: 100, right: 100 };
diagramInstance.exportDiagram(exportOptions);
};
return (
// Initialize Diagram component
<div>
<button id="export" onClick={handleExport}>Export Diagram</button>
<DiagramComponent
id="container"
ref={(diagram: any) => (diagramInstance = diagram)}
width={'100%'}
height={'600px'}
nodes={nodes}
snapSettings=
>
<Inject services={[PrintAndExport]} />
</DiagramComponent>
</div>
);
};
// Render the App component into the 'diagram' element in the DOM
const root = ReactDOM.createRoot(document.getElementById("diagram") as HTMLElement);
root.render(<App />);Export Modes
The mode property controls how the exported content is delivered:
- Download: Automatically downloads the diagram as a file to the user’s device.
- Data: Returns a base64 string representation for programmatic processing.
The Data mode is useful for applications that need to process or transmit the exported content programmatically:
The following code example demonstrates how to export the diagram as raw data.
function App() {
let diagramInstance;
function handleExport() {
let options = {};
options.mode = 'Data';
options.margin = { left: 10, right: 10, top: 10, bottom: 10};
options.fileName = 'diagram';
options.format = 'SVG';
let base64data = diagramInstance.exportDiagram(options);
}
return (
<div>
<button onClick={handleExport}>Export as Data</button>
<DiagramComponent
id="container"
width={'1500'}
height={'1500'}
ref={(diagram) => (diagramInstance = diagram)}
>
<Inject services={[PrintAndExport]} />
</DiagramComponent>
</div>
);
}
const root = ReactDOM.createRoot(document.getElementById('diagram'));
root.render(<App />);
Region-Based Export
Exporting a particular region of the diagram is possible by using the region property of the exportOptions. The available export regions are listed in the table below.
| Region | Description |
|---|---|
| PageSettings | Exports based on the configured page dimensions and settings. |
| Content | Exports only the visible diagram elements, excluding empty space. |
| CustomBounds | Exports a user-defined rectangular area. |
The following example demonstrates different region export options:
import * as React from "react";
import * as ReactDOM from "react-dom";
import { DiagramComponent, Inject, Rect, PrintAndExport, SnapConstraints } from "@syncfusion/ej2-react-diagrams";
export default function App() {
let diagramInstance;
let regionInstance;
// Initialize Nodes for the diagram
let nodes = [
{
id: 'node1',
width: 100,
height: 50,
offsetX: 100,
offsetY: 100,
style: { strokeColor: '#868686', fill: '#d5f5d5' },
annotations: [{ content: 'Node 1' }],
},
{
id: 'node2',
width: 100,
height: 75,
offsetX: 100,
offsetY: 225,
shape: { type: 'Basic', shape: 'Diamond' },
style: { strokeColor: '#8f908f', fill: '#e2f3fa' },
annotations: [{ content: 'Node 2' }],
},
];
//Function to print the diagram objects.
function handleExport() {
let exportOptions = {};
let region = regionInstance.value;
//Sets the region for the exported image.
exportOptions.region = region;
if (region === 'CustomBounds') {
exportOptions.bounds = new Rect(0, 0, 300, 300);
} else if (region === 'Content') {
diagramInstance.pageSettings = {};
} else {
diagramInstance.pageSettings = { width: 500, height: 500 };
}
diagramInstance.exportDiagram(exportOptions);
};
return (
// Initialize Diagram component
<div>
<label>Region </label>
<select id="region" ref={(region) => (regionInstance = region)}>
<option value="Content">Content</option>
<option value="PageSettings">PageSettings</option>
<option value="CustomBounds">CustomBounds</option>
</select>
<button id="export" onClick={handleExport}>Export Diagram</button>
<DiagramComponent
id="container"
ref={(diagram) => (diagramInstance = diagram)}
width={'100%'}
height={'600px'}
nodes={nodes}
snapSettings=
>
<Inject services={[PrintAndExport]} />
</DiagramComponent>
</div>
);
};
// Render the App component into the 'diagram' element in the DOM
const root = ReactDOM.createRoot(document.getElementById("diagram"));
root.render(<App />);import * as React from "react";
import * as ReactDOM from "react-dom";
import { DiagramComponent, Inject, Rect, IExportOptions, DiagramRegions, NodeModel, PrintAndExport, SnapConstraints } from "@syncfusion/ej2-react-diagrams";
export default function App() {
let diagramInstance: DiagramComponent;
let regionInstance: HTMLSelectElement;
// Initialize Nodes for the diagram
let nodes: NodeModel[] = [
{
id: 'node1',
width: 100,
height: 50,
offsetX: 100,
offsetY: 100,
style: { strokeColor: '#868686', fill: '#d5f5d5' },
annotations: [{ content: 'Node 1' }],
},
{
id: 'node2',
width: 100,
height: 75,
offsetX: 100,
offsetY: 225,
shape: { type: 'Basic', shape: 'Diamond' },
style: { strokeColor: '#8f908f', fill: '#e2f3fa' },
annotations: [{ content: 'Node 2' }],
},
];
//Function to print the diagram objects.
function handleExport() {
let exportOptions: IExportOptions = {};
let region = regionInstance.value;
//Sets the region for the exported image.
exportOptions.region = region as DiagramRegions;
if (region === 'CustomBounds') {
exportOptions.bounds = new Rect(0, 0, 300, 300);
} else if (region === 'Content') {
diagramInstance.pageSettings = {};
} else {
diagramInstance.pageSettings = { width: 500, height: 500 };
}
diagramInstance.exportDiagram(exportOptions);
};
return (
// Initialize Diagram component
<div>
<label>Region </label>
<select id="region" ref={(region: any) => (regionInstance = region)}>
<option value="Content">Content</option>
<option value="PageSettings">PageSettings</option>
<option value="CustomBounds">CustomBounds</option>
</select>
<button id="export" onClick={handleExport}>Export Diagram</button>
<DiagramComponent
id="container"
ref={(diagram: any) => (diagramInstance = diagram)}
width={'100%'}
height={'600px'}
nodes={nodes}
snapSettings=
>
<Inject services={[PrintAndExport]} />
</DiagramComponent>
</div>
);
};
// Render the App component into the 'diagram' element in the DOM
const root = ReactDOM.createRoot(document.getElementById("diagram") as HTMLElement);
root.render(<App />);The
boundsproperty ofexportOptionsmust be set whenregionisCustomBounds.
Multi-Page Export
For large diagrams that exceed standard page dimensions, the multiplePage option enables export across multiple pages:
- false (default): Export as a single image regardless of size
- true: Split the diagram across multiple pages based on specified dimensions
The following example shows multi-page export configuration:
import * as React from "react";
import * as ReactDOM from "react-dom";
import { DiagramComponent, Inject, PrintAndExport, SnapConstraints } from "@syncfusion/ej2-react-diagrams";
export default function App() {
let diagramInstance;
// Initialize Nodes for the diagram
let nodes = [
{
id: 'node1',
width: 100,
height: 50,
offsetX: 100,
offsetY: 100,
style: { strokeColor: '#868686', fill: '#d5f5d5' },
annotations: [{ content: 'Node 1' }],
},
{
id: 'node2',
width: 100,
height: 75,
offsetX: 500,
offsetY: 100,
shape: { type: 'Basic', shape: 'Diamond' },
style: { strokeColor: '#8f908f', fill: '#e2f3fa' },
annotations: [{ content: 'Node 2' }],
}
];
//Function to export the diagram objects.
function handleExport() {
let exportOptions = {}
//Sets the multiple page as true for the exported image
exportOptions.multiplePage = true;
exportOptions.region = 'PageSettings';
diagramInstance.exportDiagram(exportOptions);
};
return (
// Initialize Diagram component
<div>
<button id="export" onClick={handleExport}>Export Diagram</button>
<DiagramComponent
id="container"
ref={(diagram) => (diagramInstance = diagram)}
width={'100%'}
height={'600px'}
nodes={nodes}
snapSettings=
pageSettings=
>
<Inject services={[PrintAndExport]} />
</DiagramComponent>
</div>
);
};
// Render the App component into the 'diagram' element in the DOM
const root = ReactDOM.createRoot(document.getElementById("diagram"));
root.render(<App />);import * as React from "react";
import * as ReactDOM from "react-dom";
import { DiagramComponent, Inject, IExportOptions, NodeModel,
PrintAndExport, SnapConstraints } from "@syncfusion/ej2-react-diagrams";
export default function App() {
let diagramInstance: DiagramComponent;
// Initialize Nodes for the diagram
let nodes: NodeModel[] = [
{
id: 'node1',
width: 100,
height: 50,
offsetX: 100,
offsetY: 100,
style: { strokeColor: '#868686', fill: '#d5f5d5' },
annotations: [{ content: 'Node 1' }],
},
{
id: 'node2',
width: 100,
height: 75,
offsetX: 500,
offsetY: 100,
shape: { type: 'Basic', shape: 'Diamond' },
style: { strokeColor: '#8f908f', fill: '#e2f3fa' },
annotations: [{ content: 'Node 2' }],
}
];
//Function to print the diagram objects.
function handleExport() {
let exportOptions: IExportOptions = {};
//Sets the multiple page as true for the exported image
exportOptions.multiplePage = true;
exportOptions.region = 'PageSettings';
diagramInstance.exportDiagram(exportOptions);
};
return (
// Initialize Diagram component
<div>
<button id="export" onClick={handleExport}>Export Diagram</button>
<DiagramComponent
id="container"
ref={(diagram: any) => (diagramInstance = diagram)}
width={'100%'}
height={'600px'}
nodes={nodes}
snapSettings=
pageSettings=
>
<Inject services={[PrintAndExport]} />
</DiagramComponent>
</div>
);
};
// Render the App component into the 'diagram' element in the DOM
const root = ReactDOM.createRoot(document.getElementById("diagram") as HTMLElement);
root.render(<App />);Direct Image Export
The exportImage method allows direct export of base64 image data without requiring a diagram instance. This method is useful for processing pre-existing image data.
Method signature: exportImage(image: string, options: IExportOptions): void
-
image(string): A string representing the image content to be exported (base64-encoded data URI). -
options(IExportOptions): An object defining the properties of the image export (such asfileName,format,margin, andregion). - Returns (void)
import * as React from "react";
import * as ReactDOM from "react-dom";
import { DiagramComponent, Inject, PrintAndExport, Rect } from "@syncfusion/ej2-react-diagrams";
export default function App() {
let diagramInstance;
let nodes = [];
//Function to export the diagram objects.
function handleExport() {
let exportOptions = {};
exportOptions.pageWidth = 1000;
exportOptions.pageHeight = 800;
exportOptions.bounds = new Rect(0, 0, 800, 800);
//Base64 data
let base64 =
'data:image/png;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/4gHYSUNDX1BST0ZJTEUAAQEAAAHIAAAAAAQwAABtbnRyUkdCIFhZWiAAAAAAAAAAAAAAAABhY3NwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQAA9tYAAQAAAADTLQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAlkZXNjAAAA8AAAACRyWFlaAAABFAAAABRnWFlaAAABKAAAABRiWFlaAAABPAAAABR3dHB0AAABUAAAABRyVFJDAAABZAAAAChnVFJDAAABZAAAAChiVFJDAAABZAAAAChjcHJ0AAABjAAAADxtbHVjAAAAAAAAAAEAAAAMZW5VUwAAAAgAAAAcAHMAUgBHAEJYWVogAAAAAAAAb6IAADj1AAADkFhZWiAAAAAAAABimQAAt4UAABjaWFlaIAAAAAAAACSgAAAPhAAAts9YWVogAAAAAAAA9tYAAQAAAADTLXBhcmEAAAAAAAQAAAACZmYAAPKnAAANWQAAE9AAAApbAAAAAAAAAABtbHVjAAAAAAAAAAEAAAAMZW5VUwAAACAAAAAcAEcAbwBvAGcAbABlACAASQBuAGMALgAgADIAMAAxADb/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCAKrB4ADASIAAhEBAxEB/8QAHgABAAMBAQEBAQEBAAAAAAAAAAcICgkGAQUEAwL/xAA9EAEAAAYCAAIFCAsAAgIDAAAAAgMEBQYHAQgJeDc4V7fWFhk5WHeXmLYRExQVFxghlZbT1RIiCjEkQYH/xAAdAQEAAQUBAQEAAAAAAAAAAAAABwMEBQYIAgkB/8QASREBAAICAQEDAg4OCwEBAQAAAAIDAQQFEQYSEwchFBYXMTM0NjdRVXN0lNQiI1NUVmGRk7KztLXS0wgVMkFScZKVsdHwJCVC/9oADAMBAAIRAxEAPwDfwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA599s/Em0L052PiWqNj4vurLs1zLCa7YVtt2ptbVOdS6PF6C/Q43OrbvUyrnb5dBHHdouJEiTz+sjmQ/pmf0hdBGZbxZ/pDNSeTK+e++WyvCaFfKcpp6F05117E5xlOvu9+OI1WWY7vexKPXOYYxnrjPmzlrHbLnNjs32Z5Xm9Wmm/Y0KqbK6djv+DPNm1RRnE/DnCfTEbZZx3ZY+yxjr1x1xm53z4/Vz2K9zfw9VnxMfPj9XPYr3N/D1WfEzjEJK9Tvi/v7f/Lr/wAlzt6v/aT4l4P8m/8AXP8AP/2PP2d+fH6uexXub+Hqs+Jj58fq57Fe5v4eqz4mcYg9Tvi/v7f/AC6/8k9X/tJ8S8H+Tf8Arn+f/sefs78+P1c9ivc38PVZ8THz4/Vz2K9zfw9VnxM4xB6nfF/f2/8Al1/5J6v/AGk+JeD/ACb/ANc/z/8AY8/Z358fq57Fe5v4eqz4mPnx+rnsV7m/h6rPiZxiD1O+L+/t/wDLr/yT1f8AtJ8S8H+Tf+uf5/8Asefs78+P1c9ivc38PVZ8THz4/Vz2K9zfw9VnxM4xB6nfF/f2/wDl1/5J6v8A2k+JeD/Jv/XP8/8A2PP2d+fH6uexXub+Hqs+Jn8N08drqbZbbcbxddP9yKG12mhq7ncq2f17rYZNHQUFPMqqyqnc8ZLzzxKp6eVMmzOeOOeeIIOeeOOef6OOCM91ehzbP2Z55+Vrq8WeT3jIV2Txu7+cwhKWMZzr9M5jHOcdftPreZWo8vfaO2+mqXDcJjFttdec4xv9cYnOMc5x12+nXGM56dev93wefa5g+X2bYWF4hn2OR1E3Hs4xewZfYZlXIipauZZsltNJerXHU0sfMUVNUR0NbIinSIooopMzmKXzzzzDzy9Qr/1N9VjrR5f9Ne7rHFgERuqgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABmW8Wf6QzUnkyvnvvltNLMt4s/wBIZqTyZXz33y2x9kfdFxfytv7Ncj7yqe9/2k+bav7x01MAE+uGAAAAAAAABGe6vQ5tn7M88/K11SYjPdXoc2z9meefla6qV/sF3yVn6Elzpe3NT5zR+tg2CdTfVY60eX/TXu6xxYBX/qb6rHWjy/6a93WOLAOZH0fAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAGZbxZ/pDNSeTK+e++W00sy3iz/SGak8mV8998tsfZH3RcX8rb+zXI+8qnvf8AaT5tq/vHTUwAT64YAAAAAAAAEZ7q9Dm2fszzz8rXVJiM91ehzbP2Z55+VrqpX+wXfJWfoSXOl7c1PnNH62DYJ1N9VjrR5f8ATXu6xxYBX/qb6rHWjy/6a93WOLAOZH0fAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAGZbxZ/pDNSeTK+e++W00sy3iz/SGak8mV8998tsfZH3RcX8rb+zXI+8qnvf9pPm2r+8dNTABPrhh/DdLnQ2W2XG8XSplUVstNDV3O41k+LiCTSUNBTzKqrqZ0fP9IZUinlTJsyLn+kMEHPPP/wBKi4n2gutm1VsPYO78PrseuWCScXzCdjOH2uO43udrnZtNbbngkyVZp1+uFVX5FZptfdcGyqGTU0nF3yzCMjuGPWent9dabdzPG5dcztt64yLW/F+5x23ZdxbLTktXDbornHccNmXegm5njMuTDcrX+z85fi8q7YtFcuZ8+G1y7xHcObfcv2b9hn19yDpTr2lus+dpehwDQ2N5Bi3GO5/iOAaoxu0WrNa21ZvhuZ4bktdxjVZicuXesS+T+S2Skn1tNdv2i2ZvcoYeaOOjl8VOK2/6zxPclqQxmOeO2KdPObK8Zhu5o2diN2abPtdmbNmjjtPXtssrjrQu5CVuvfVdC3Xz/HY4T0JiG/b02Ld6qyzGde/7Vqatmr3oQ3KZTlVnc1tjko5qxp7eJ7Ovx8526cITnZ7y0dk/3zYcxqqXR29Ic6wjN7RgN21F+5df1ecTbtfbDZsqtlxkX617IuGoqTGJ2N3qTdp2TXvaFos9FHTVNkrqqmyWZQWSu8FS9v6Cuv8AidXDh+S27Drnj2dS8vs1ztVqmbBwjNsK3xgWjbzTXmO15hcMSmY7id3yW+3DLK7H7lk0E61Wj9745cLnJlcUVw/q3F1Nj2nFm0+DLcVihy3a2D7Pm4psTWfOydYXaDDdcU2veMR2NgfGbYlxsGwVEyRLzK2yor5j3Fly+14zdP1NwisMMNb4yx9Q6TUOA32gskibsi30euewuG23WGE4vhuuIrpT722Pb9g82jG5lwyuyYVidFisymnWO003MduoZNr5pqqnmU1TbpdDcKGvscvCy63d1JYq1KuSnVivNN8d30NxE46OM6+vZ6JzbvchZLNlUJRxidVXhegowxLYyvgdk56ur4WzjO/ubnF4u1sw26a9KjZlLPK1Y3NucNbwtOdevHRsnZGcKb9rO3ubuPDs1puynsjarJdqnHca1ns/ZuTSsoynG6HH8Hla8p6y9U+DWPGbtmuTWiuzzYmD2KoseMXPK7Zh9fSTrvTZVV5XJudHZsaultt1TdYPzL52Vt2PXm8WmXiub5pfKvJcBxTCNe47jFhxnMrxe8y15dNjzbbMuWxti4tjcqptuL2G/wB8uvGWztcxWeG0VOPSJWQX+db5VfHd86l5Hkui9Watu2TalyO7Y1SXG77H43Nomy7wwjN9lZXDUXfLtl2+wxZHre8Y3nUGYXfKbpjuQWvIae101BleQUd1xS6Tp9nqrD6HLOq9wvNiyuy27N8VyCkymfrKG6WbfGp7bvbEMqt2uMNl4pLpdk2K7ZRjNzy6uuFfT0ObU98s+S4ZdLfl9qttTVTrzav3nabp72o8vX0jXmOxKrkNOuUtfNGvG7Ur4zYr376vGtvhCF/JRqsohdjanRC/EsV34p+wt6Y9mO9qd++vuT1+VjsZlTyfWFte/TjiLdjGasWWSu0sSvu1dLGl4ko3a1u9x0tmuWnaTFL/AB5TjdlyGZYcgxedd7fT1lRjeV0Mm25JYamZB/8AlWi9UlLV3ChhuFvqOJlLUTrZcrpaKqOV+12i6XO2T6SvqPQPC6ywmHXGA4rg8Nzju/GN2mTbua/mRMoqaOKGKObFItVtm1lxis1hoopvNDjtg4uFfLsFiprdZZNZVSqGCfH7pms565znpHHXOc9I4liOPxRxKU5Yjj+7EpzljHTrKWeuc6rPu9+fc/sd6Xc9f+z1z3fX6Z9bp6/n+HziM91ehzbP2Z55+VrqkxGe6vQ5tn7M88/K11Ub/YLvkrP0JK+l7c1PnNH62DYJ1N9VjrR5f9Ne7rHFgFf+pvqsdaPL/pr3dY4sA5kfR8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAZlvFn+kM1J5Mr5775bTSzLeLP9IZqTyZXz33y2x9kfdFxfytv7Ncj7yqe9/wBpPm2r+8dNTABPrhgAAAAAAAARnur0ObZ+zPPPytdUmIz3V6HNs/Znnn5Wuqlf7Bd8lZ+hJc6XtzU+c0frYNgnU31WOtHl/wBNe7rHFgFf+pvqsdaPL/pr3dY4sA5kfR8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAZlvFn+kM1J5Mr5775bTSzLeLP9IZqTyZXz33y2x9kfdFxfytv7Ncj7yqe9/2k+bav7x01MAE+uGAAAAAAAABGe6vQ5tn7M88/K11SYjPdXoc2z9meefla6qV/sF3yVn6Elzpe3NT5zR+tg2CdTfVY60eX/TXu6xxYBX/qb6rHWjy/6a93WOLAOZH0fAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAGZbxZ/pDNSeTK+e++W00ufnbPw2tC9xtj4ltfY+UbpxHNcNwmu17bbjqbZNRgsusxevv3GSTaK7U0q2XGXXRwXaHifInc/q45cP6Zf9YWV4Tfr4vlNPfuhOyvXnOUoV93vyxKqyvHd72Yx64zPGc9c482MtY7ZcHsdpOzPK8Jq3U0bG/VTXVbsd/wAGGa9qi/OZ+HCc+mY1ZxjuwlnvZx183XOM5QsL3q0T4THh9Wao43Z2v7iXLZU23QXCwaRwbsPxkW075LqYI4qCpqLHBY5FNitlrf1c6KnyDMK2x2qsl01XLtM66V8jigmcuvCRwa1+J53c27iFwyrsfqjrVrzTF2zSy4vad55NkmcRZFOzHDsexylyrY1XaKSz1VZU0d3ye4RwWvF8fpp8iz01NS2mfMkXG7cS1V2x17dW7d/q3kK9amGZ5ttxRCNnnxjEaseLmVmZZz0xnGPDxnriU45co7nkt2dPl9Lgs9pOC2eW3tjGvDS1Jbt1mv1jKU7dyWNWNetCuEcylCc/HlHz10zx1zi4A7PfMc9XfbV3M/EJV/DJ8xz1d9tXcz8QlX8Msf6onF/eO/8Ak1/5zZfUB7S/HPB/6t/6m4wjs98xz1d9tXcz8QlX8MnzHPV321dzPxCVfwyeqJxf3jv/AJNf+ceoD2l+OeD/ANW/9TcYR2e+Y56u+2ruZ+ISr+GT5jnq77au5n4hKv4ZPVE4v7x3/wAmv/OPUB7S/HPB/wCrf+puMI7PfMc9XfbV3M/EJV/DJ8xz1d9tXcz8QlX8MnqicX947/5Nf+ceoD2l+OeD/wBW/wDU3GFGe6vQ5tn7M88/K11d6vmOervtq7mfiEq/hl/DdPAm6nXq2XGzXXcHceutd2oau2XKin9g6zmTWUFfTzKWspZ3EONQ88yqinmzJUzjiLjnmCPnjjnjn+rxZ5QuMnXZDGlv4zOEo4znGv0xmUc4x1+3et51XX8gnaSq+m2XMcJmNVtdmcYzv9c4hOMs4x108Y65xjzdc4x1dKOpvqsdaPL/AKa93WOLAPL4PiFm17heIYDjkFRKx7B8XsGIWGXVz4qqrl2bGrTSWW1wVNVHxDFU1EFDRSIZ0+KGGKdM4imc8ccxc8PUIjdVgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAKsd0O2Wvuk/XXP+wWw4Z1xpsYpJNuxLD7fM44v+xdhXyZzb8L1/jciGXPn1F2yS8xyZEcynpavm1WmVdL9VU8VvtNbHB7rrnbZCquOZ2WSxCEY+vKUs9MYx/nnP+XwqGzs0aevft7VsKdfWqsvvunnpCuqqOZznLPnz0jHGc+bGc59bGM56YcVPGy0FpnvVvXrb0X1zrHEr13N2BVUWeZfv2Rb5/F66zdWsYukcOT5bmlTZq60xZVJyOsmVlh19g2XVdVZ5t1qrnzbY8ev1/sVzrfS+B34Um6vDW253Ng3FOxPK7Ll9LqGzaX2hilTJ5kZlitDX7LuGWcXCyVfHN/xW6UkyPBorpY62KZQSrhMqIbZdckopFNdl5fDH6lbB09iWwuznZ6ZLvXdnuLeaLZm+LjNg5jh13ZuJEX8P9C4zxNmT+bbjesLBOp7XVUNPOmy4r1DPoea66Wuw4/USupDLbHI206s+Jotxbq4hGFlkusszujbC2ydMs5+wpxKHhVxx9hOvGbcxxOzOcaZxvZfU3uXo7ZchqS1OYldZfqUV4jTjX0LNSzT1qOQqjHOL92VNudvZtlnxqdmUNWFstfVjGYBhm9AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAP+JkyXKlxzZscEqVKgimTJkyKGCXLlwQ8xRxxxxc8QwQQQ8cxRRRc8Qww8c8888ccODGl5M3xW+7/Hau8y46/oZ0bzG94j1Qs9TDzHYuwPZO1TeaHMuxcylj45p7riWuZ0uGy6xrYoaiRMu0imvdrqrfcJGYWWZJniWbf2BvfYWCeFV1kv8AW2bbHYqyR5L2a2dY4v1s3rp1Fk1suhze91E6D9MmmzPaMqObhOH22oi4in09xny6rm085Fj17l9UtNag17oDVeBaX1Tj1Liuu9a4zbcUxOxUnH6YaS2W2TxL4nVU+Lj9bX3S4VHM+5Xm61UUyuu93rK26V86fW1c+dHkYf8Axa3i5821twlGn4adWXWNl3w4nf8AZVVdfPirxbMdMyqk1i//APd5T0Hj7LiOGvrt38+vXv8ALV5hdraPX1p0cdnw9zcxjrGW5nU185z4G3UkwBjmzgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAjfcmcVestQ7V2TQUNPdK7Xut85zijttXMmSaW41eJ4xdL9T0NTOk8czpVPVzqCCnnTJXHMyCXMiig4/wDLjhm8xDxifEGy/E8Xyym0503o6fJ8dsuRU9JPv27I51LJvVtprlKp50cuX/4RzZEuphlTI4P/AEijh55h/pzwyHH8VyHKStjoa0tnNOIytxGVce5ieZYjnPiTh165jL1uvredged7T8D2ahrT5zkauPhtythrZsrvs8WVOIZsxjwKrc47mLIZz3u7jPe83XpnpqLGZb52fxDPZJ0y/vm7/wDWfOz+IZ7JOmX983f/AK2T9KXaL4st/O6385rnqqdgPwk1fo3IfVPx/wDPwZaaRmW+dn8Qz2SdMv75u/8A1nzs/iGeyTpl/fN3/wCs9KXaL4st/O63849VTsB+Emr9G5D6p+P/AJ+DLTSMy3zs/iGeyTpl/fN3/wCs+dn8Qz2SdMv75u//AFnpS7RfFlv53W/nHqqdgPwk1fo3IfVPx/8APwZaaRmW+dn8Qz2SdMv75u//AFnzs/iGeyTpl/fN3/6z0pdoviy387rfzj1VOwH4Sav0bkPqn4/+fgy00qmd2+3OC9I+u2Z73zamqb7WW39kxvXWA2vmOPIto7TyTmbRYLrrGqWRKqaypueQ3WH9NVHRUddPtdio7xfYqOop7VPl88SfnZ/EM9knTL++bv8A9amm2ezHdrePaTRHZHZ+I9WcktXWy33i46l0pNvO2petLXtW8zIpUW4r5SxW6dc8hzOy2zimo8T5rK6Xb8WqqGmvFopZF0jramrr63ZHm/FjLZ427FMMZnKEbaO9bmOOsaY5xbnEM2S6RzOXSMI5lLz5xiMsfynlV7H405w4vtDp53b5V0VXWa254Wni2WI2b1sJ60M3R1K8yujrw7077Iwp6QhOdlff/wAM3qRnWiNf5tvbshWScl7q9ub7R7Z7JZNFBLi+TVVPpOeML0pjvME2pl0OIaisNTDj1HbqOqqqGC7fvXi31dRZJFjlUnTVmW+dn8Qz2SdMv75u/wD1rl+Hl4hvYrs72J2Joveuu9K4vKxjS1r2zYr7qa6ZzWTKqZWZzFh9TabvTZhDDDBBBDxxWSJ9Hz/5cxfplzOP0LPk+E5zXhbv7+jOinvQxKffozCvEsxrqrjCu2WYwjju1wjjHSMcYx5sYZbsz2u7FbUtPgOA5mrc2cV2yqq8Lc8fYlCM9na2brrtauNl90s27OxZOWJW2zsl55Szh2eAYFvYAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACv/bL1WOy/l/3L7usjY+tKehrUn2ZYF+VbU2C9svVY7L+X/cvu6yNj60p6GtSfZlgX5VtSS/Jx7Py3yWp+nsOdP6QntPsv855X9VopNASq5iAAAAAAAAF0PCY+kL215M7J774lL10PCY+kL215M7J774mpdt/c7t/K6n7TWlPyM++BxXzblP3dsNNACDHaoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACv/AGy9Vjsv5f8Acvu6yNj60p6GtSfZlgX5VtTYL2y9Vjsv5f8Acvu6yNj60p6GtSfZlgX5VtSS/Jx7Py3yWp+nsOdP6QntPsv855X9VopNASq5iAAAAAAAAF0PCY+kL215M7J774lL10PCY+kL215M7J774mpdt/c7t/K6n7TWlPyM++BxXzblP3dsNNACDHaoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACv/bL1WOy/l/3L7usjY+tKehrUn2ZYF+VbU2C9svVY7L+X/cvu6yNj60p6GtSfZlgX5VtSS/Jx7Py3yWp+nsOdP6QntPsv855X9VopNASq5iBUrtBbs6vlZra04jFkWU2aRXX6+57p7Wu5pujdyZ9jFHxZLNKv2A5hRZJg1dVUmv7zkNtuWSY9N2Nrmy3qXdLXTXXK5k793YzkfkdH7Rv9uu2Ba1mXfKbva62o7AQXei29TQVO2tbxa2uWCx49rrJsutma5faM4qset+Xz5E7YE2/ZVV5nY+Meu1TkdyufN0vd4xNvLQ17tqGzRZTTRHM6r/7WNiEbOOonOuvOI2Srjs8jGjN9OL9aq3Xup279XZs09fazUOFst0Nbcpvrss2PHlnW+xxKquinkdiUpSxOUozzVxl8o121VeNiyvOpLa8Le9BXjHLe39vt933Bq3Ytuo9M26w4D1G0x2mz233GwZfV3PKIswkbNuOY4Lh8+Rn9DT4rBV2vA4fkrlV4kZhBYrnFDR3aw5NJvEFXY5Pndktt0+a5fe58nWMnT+E9ldbaAqbBDaL/U7MyGRtiwapgsuR02RwZtLxzHa7Gcs2pbptwsNbh15mZPjNDWx0NZj1VDQ1Vzv/AERH0RnW8O3FmLcVZzmvPdjiXJU8PVbPz96FN3KXx065zjHPmztzjDj817k7vc7J8ro2203+hfEqlOrMYXZl39mGjpcl6Fqz4eI23y1OS0bI9zOasS2Y1ytjOu+NV+RzGvPbveWOayrds3C0aqrrHsXQm69y6dx6msmYWu+4RW6xtdLkGP47syouWXRx5/TZJYbpRzr5cscsmsJ2K3qhqLJDQXqTdaa826ZtUV+9ee0+f2XZGxMPv9go+u+oL/Fi2KYPl2LWigvuRbD3TTU9daZF625nVvo7jJt9ijtmU3WG2x1OYSqfGYpXydp8b5o7rb6fIVbuaPBqvxi7H2zNkI151ZS093drrvjKfXNtlWniWa6PGlVDa1LLvDrvjI2ey+7paW/u7WxqVw0oX5hCMrrJ7VmnynC8Tu11YjT9r9C7fOa9U53+Hiyyu3FHiU48fF0wF+1oXQ8Jj6QvbXkzsnvviUvXQ8Jj6QvbXkzsnvvial239zu38rqftNaU/Iz74HFfNuU/d2w00AIMdqgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAK/9svVY7L+X/cvu6yNj60p6GtSfZlgX5VtTYL2y9Vjsv5f9y+7rI2PrSnoa1J9mWBflW1JL8nHs/LfJan6ew50/pCe0+y/znlf1Wik0BKrmJHmw9WYXtGjttLltLfIJ9lqptZZb9iWZZnrrMLJOqZPNNXQ2XONd5Bi2Y2imudL+iku9Fbr7TUd3pIYKW5yKuRBBLh8FP6u6Qn2LEse4xO50tLhN+vWTWW52zO9hWjLKm95R+v+WFblOc2vK6PNM64ziKpmx57TZvf8ho87m/q5uX096mSJEcuwAtZ6OlZm+Vmnq2S2cwzs5nr0yzsZr8HuZvzKGc25h6H1+5mzvd3wKenTwod28q5HkKK66qN/cpqplOdVdW1fXXVOyu2qc64QniMJTqvvrnKOMZlXdbDOcxsniVPqTpPpyTmMq8T6G4x4VZtY6g1dieuaHJc8s1mt+Paiu2c3OhteXT7bmkiTtPFLxDlttp63CdiWy/Y9MixyXUXSReo7jHBSeuxvq9r+0bOzTbF4/eGQZJk2yIdjWyj5vOWWvFrNcqfC8Yw62VFywamymbgeW5PZJOPTqqxZve8XiyKxy7hLorPPoIbdIqJlkxU9Da/i+PminN2J224szVCUsX3X6+xZs4zmOem3K7Vol6Lx02cYh3I24hOyMq+xzXLbfi+iOR27fG16dW3Erp4xZrUatenCieI5xjNU9eqEb4Zx02px8bZxdfmVma5SOpegJHy5ghwWfNpthY3leH3y3VeZZ7XWi14rnVbMuWaY9gNmrcon2rVVoyu5TILlkNDrCjw+nu9wpbfXV0E+qtlum0srQa6xKVsGLaMmgrpGazMPpcDqbjT5BkUi3V+LW+61t7tlBc8Zk3aDF7pVWm5XO6z7RebjZqq92mXd7vS2240tJdbhIqfbj9q16KK9emimqmnUxPGrVVXCuvWxON8J414QjiNOJw2dmM8V4j3o7F8c9cW2YlRu5Lkdjv42N/dvxbGcbcXbV9viRszqZsjPv2S78bM6GjmeJdcSzpamZdc61PcAKqyF0PCY+kL215M7J774lL10PCY+kL215M7J774mpdt/c7t/K6n7TWlPyM++BxXzblP3dsNNACDHaoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACv/AGy9Vjsv5f8Acvu6yNj60p6GtSfZlgX5VtTYL2y9Vjsv5f8Acvu6yNj60p6GtSfZlgX5VtSS/Jx7Py3yWp+nsOdP6QntPsv855X9VopNASq5iAAAAAAAAF0PCY+kL215M7J774lL10PCY+kL215M7J774mpdt/c7t/K6n7TWlPyM++BxXzblP3dsNNACDHaoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACv/bL1WOy/l/3L7usjY+tKehrUn2ZYF+VbU2C9svVY7L+X/cvu6yNiz03uPUVNqHVVNU7U1xT1FPrfBpFRTz84xiVOkTpWMWuXNkzpUy6QxypsqZDFBMlxwwxwRw8wxccc8c8JJ8nU4Qu5XvzjDrVqdO9LEevSd/Xp1zjr0c8f0gKbrtTsx4VVlvd2eU73hwlPp1q0enXu4z069M9Ovr9MrKCM/406c9rOs/88xb/AKp/GnTntZ1n/nmLf9VKXj0fdqvzkP8AtzP6C3PvTZ/MW/wJMEZ/xp057WdZ/wCeYt/1T+NOnPazrP8AzzFv+qePR92q/OQ/7PQW596bP5i3+BJgjP8AjTpz2s6z/wA8xb/qn8adOe1nWf8AnmLf9U8ej7tV+ch/2egtz702fzFv8CTBGf8AGnTntZ1n/nmLf9U/jTpz2s6z/wA8xb/qnj0fdqvzkP8As9Bbn3ps/mLf4EmCM/406c9rOs/88xb/AKr5/GvTXPPPHG2tZc88f/fHy8xX9PH/AO/68fvX+n9OeOf/AOnj0fdqvzkP+z0Hufeuz+Yt/gSauh4TH0he2vJnZPffE5x/xp057WdZ/wCeYt/1V+/B3y7E8u8QTcdTimT49k9PR9OLFIq5+PXq23qTSzpm7I5kEmom22pqYJE2OD/3glzYoY4oP/bjjnj+rU+21tUuz23GNlcs5t1emIzjnOemzX182M5ylDyOa2zX2+4udmvfXDGtyfWU6rIxx14/YxjrKUcYx1z5sefz5aiQEIOzwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAH89XSUlfS1NBX01PW0NbTzqSso6uTLqaWrpKmXFJqKapp50McmfTz5MccqdJmwRy5suOKCOGKGLnjmB/5TerH1aOv/3Na6+HFgAFf/5TerH1aOv/ANzWuvhw/lN6sfVo6/8A3Na6+HFgAFf/AOU3qx9Wjr/9zWuvhw/lN6sfVo6//c1rr4cWAAV//lN6sfVo6/8A3Na6+HD+U3qx9Wjr/wDc1rr4cWAAV/8A5TerH1aOv/3Na6+HD+U3qx9Wjr/9zWuvhxYABX/+U3qx9Wjr/wDc1rr4cYwP/kSY5P6S99OuO9+uGJ4JrKjy3QkFtqrDa9d4pW6+yDJsJzzK+btFk2v7vjdZr7IpVVYsmxOTUUFxttwgjmWmhuE+hpayTSV9Vu/csfEO8KXTPiS7H6yZNu3J8itWE9fp2yZ99w3EpVPbbptCnzidr+ooLBdMv5jir7BYbXPwus4reLZSzbvU0uQXGTZbnjtdO5u0GV4bao096Nu1jEtaVV1d0cw8TE4yrlmMcwzjOJd6yMMdM/Y4znGZZxjGc41Dtzw/Jc12ft1OHnmrla9zQ2dG6N+dWVNtW3Viy7GxHOJVeFrTvszmHWzOI5hXGU5Rjnmv4M/dnTXiP0l2wbZfhr6uxnNMGtMc7J93a/0PgFX1+uFZTy6WKTbLvW3i0w3HCM1vUFVDOtGJU1Xl/F3kUV3u0uqstBS/scrRdg+m9Q6yq66v1tqrW+va66U8ukuVZg+DYxidXcaSTM5nSaauqLDa6CdV08qdzzNlyaiOZLgmc8xww8Rf1cSun8U7wrO5Ff4c2W1NXL6h9obxku0+gOa3efPnUuE5xUz4rhs3q9e75XzJk2orZVVPp71gc6vrJtXcua2hlTqy75PnEyjtff1T5SFEdrNmrTinVvhC3X7spSjOuWPPL7LzxlGeJV2V9c4rshKGM5xjEs1+yN+/PiI6/L7s93mNC+3S5OVlNVNlOxV3cxrzir7G6qdEqtjW284xLb17qticYSnKEQDHNoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAUu789N8X7xdc8m07dLpMxDOLfW2/PNJ7QoOZ0m+6m3LiUcyvwbOrNW0nMFwpf2Ou5jtt74t82RXVeOXO70lFU0ldOpa2mijwze4uU9mtU5Trje1rl4d3H6uZJDpztJgcz9RJm/K+1Spkmy7Mssmn4lyKjDdqW2im5FZLhQSoLTHcIL3R2eKptFHbrhXdKHEbxJNY5v1W3Bhni19ccbuF9yXUlmlYR3X1Zj3HEqbvTqlHMlc3XIv2aDmCTV55pf9RS5JZrnU/8AhF+4bXTzLrX82HDpdor8hq5xs150LM4xKUs2aU5Z6Yr2JYxiVOc582K9rEYw+CN0ap5ziPiZzrXL1z4vah2i1oSlXXVHW53XrjmUtjjISzKG7GEcZzPa4iU7L44jGU7tGzcojidvobEO3I8LrHZeD7l13hW1taZFQZbgGwsatOW4jkdsmcx0d2sV7o5VbQ1MMMfEE6nncSpvEqroqqXJraCslz6GtkSKunnSZfulhnGY5zGWM4ljOcZxnGcZxnGemcZxnz4zjPmzjPnxlscJwthCyucbK7IxnXOEsShOE8YlGcJRznEoyjnGYyxnOM4zjOM9MgD8egAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAB/hVUtLXUtTRVtNIrKKskTqWrpKqTLqKWqpaiXFJqKapp50McqfInyo45U6TNgilzZcUUEcMUMXPHP+4Hr+u4NdZ59V4Wfc2b0SyiqnSOlvbrIsn2H0UyW4VEyK26k21W1MFz2P1Vra2pj5l0Vru1ZWw5HqyTNmSYauqr5drp5l/yjJb5Nt3eVULvN1Bwzu91zzHR2U1s7HL3Ux0eV6t2JbuJkF/1VtvGIpldgmw8fqqabT11LW2S6c/qbhBb6yhq7lj1derNBW0sNyjnQQn4avbrM+weusy032HoqXFu6fVHIZOpezmGw/q5XFyvFLIj5xHb+Oy5cuRKrMK29j9PLye0XKipaa2TLjFd5Nrp4bLBaKmtyF//ANdPoyPnvr7te7HHryznpGrb6fBb5q78/wB1+IzlnrsYxjWeO/8Axd/+o59ccfteLscDZn+zViPWzb4XOc+tnVxmWzx0P/64/NtFccQ42UpdKQGPbMAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAM4/iz7X31aO5upNYa47Ebq0zhU7rFfM8uVn1NllNi0u9ZRDtWDHpNzu8ybabnMqo6e0880siDjmVBBDzzF+jmL+rRwzLeLP9IZqTyZXz33y2e7M0U7XO8fRsVQupsssxZVZHEoTxii2WMSjnzZxiWMZ8/wDfjDSPKPvbnG9iee3tDZu09zX19eVGzrzlVdVKW9qwlmE45xKOcwnKOemfPGWcetlTH5a9o/r19zfveo/hRFtLg2yKHb9y39Q9qu0tBue9YbI19e9k0OyrXRZXfMMpa6muVJj17ulNiUqfeLfR1tFRzqOXcuarmk/ZKWXTRSpdPJgglETXHgOFh3u5xelHvxzCXdohHvQz06xl0xjrHPTHWOeuM9MdceZxxZ247YXeH43aTl7fBtjdV4m7bZ4V0MZxC2vvSz3LIYznuzj0lHrLpnHXPX78te0f16+5v3vUfwofLXtH9evub971H8KPg8+l3gvinQ+jV/wqnp/7bfhTzn+4bH8f4v8An4cvvy17R/Xr7m/e9R/Ch8te0f16+5v3vUfwo+B6XeC+KdD6NX/Cen/tt+FPOf7hsfx/i/5+HL78te0f16+5v3vUfwofLXtH9evub971H8KPgel3gvinQ+jV/wAJ6f8Att+FPOf7hsfx/i/5+HL78te0f16+5v3vUfwofLXtH9evub971H8KPgel3gvinQ+jV/wnp/7bfhTzn+4bH8f4v+fhy+/LXtH9evub971H8KPF7I2j2yxjXee5Lau9vciC6Y9heU3y2xT9tUU6TDX2mx11fRxTpPOK8cTZXFRTy+ZkvnnjiODjmHnnjjn9L2aM91ehzbP2Z55+Vrqp3dnuDxTbnHE6GM4rnnGca1fXGcRznGcfY+vjK41O3vbSe1rQl2o5uUZbFMZRzyGxnEo5shjOM47/AJ8Zx5s/D1z8OWxzrfkF5yzrvoXKcjuNRd8hyXS+rcgv12q4oYqu6Xm84PYrjdLjUxQQwQxVFbXVM+pnRQwQw8zJsXPEMPH6OOJoV/6m+qx1o8v+mvd1jiwDnx3kAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAMy3iz/SGak8mV8998tppZlvFn+kM1J5Mr5775bY+yPui4v5W39muR95VPe/7SfNtX946amACfXDAAAAAAAAAjPdXoc2z9meefla6pMRnur0ObZ+zPPPytdVK/wBgu+Ss/QkudL25qfOaP1sGwTqb6rHWjy/6a93WOLAK/wDU31WOtHl/017uscWAcyPo+AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAMy3iz/SGak8mV8998tppZlvFn+kM1J5Mr5775bY+yPui4v5W39muR95VPe/7SfNtX946amACfXDAD8PJsoxrC7DdMqzHIrFieMWSlirb1keTXagsNhtFHDFDBFV3S8XSopbfb6WGOOCCKoq6iTK4ijhh5j45i4458WWQqhO22cK6q4SssssliEK4QxmU5znLOIxhGOMylKWcYjjGc5zjGHqEJ2zhXXCVllkowrrhHM5znPOIwhCMcZlKUpZxGMY4zmWc4xjGc5fuCJZm/dEysAkbXm7q1LK1bU13NrptlTNj4dBgFRc4audQRW6RmMV54x2bXQ11PUUXNJLuMVRxVyJ1PzL/XSo4If07DuLUeVYnBn2MbT1xkeCzLvSY/LzSw5xjN4xOO/3C6UNjoLHBkdvulRZ4rvW3q5220UlthrOa2pulwobfJkR1dXTyZnmN9E5ShC6qU4QhZOMbISlCu3FUq5yjiWcxhZi6nMJZxiM8W1ZjnOLI9a8tLcjiMpamzGMtiWpGUqLcYltxzLEtaOcw6Z2I5hPEqcfbMZjLGY9Y56SOPxciyTHcQsd1yfLb9ZcXxqx0c643vIciulDZLHZ7fTw/wDlUV91u1zn01Bb6ORD/wC06qq6iTIlQ/1jjh4/q/OwvO8H2Tj1Jluu8yxTPsUr5tVJocmwvIrRlOPVs6hqZlHWyaS9WOsr7bUTaOrkzqWqlyamOOnqZUyRO4gmwRQ8esWQzZKrE4ZtjXi2VWJYzZGqU/DxbKHXvYrzP7DE847uZ/Y4z18yl4Nvg+iPCs8DxfB8fuS8Hxu5mzwfE6dzxfDxmfh97v8AcxmXTu+d6sB7UxGe6vQ5tn7M88/K11SYjPdXoc2z9meefla6qV/sF3yVn6Elzpe3NT5zR+tg2CdTfVY60eX/AE17uscWAV/6m+qx1o8v+mvd1jiwDmR9HwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABmW8Wf6QzUnkyvnvvltNLMt4s/0hmpPJlfPffLbH2R90XF/K2/s1yPvKp73/aT5tq/vHTUwAT64YFXe2dFjNTr/ABqtyfLrxrSVj2w8fyex7Zp7Tjd7xDVWV2G33uvxnM9qW3K5kFnna1l3aVT2K+zp0VJNo62+WmskX/DZsiHNcdtELbb187NPh4zCM42619U7I2zxVfq7FW1RdHwL9a6NtN1MLaLa76503QrtjLOYdM3ejteg9mGx3PExGN0JQ6wx3oX02UTjnFtV9M45hZLEqr6L9e2PWq+m2mc65cfLls7CuaaLZ+RZtpe7Y/T9wevVxy7sprmK64Lo3YUVDi0ygmXCT8qti7DxOku+C0cigxHK8lx/YF7tlwmUlqt12rKC92SusNn+dhM91/lvO9txYBkmLXTS0qv6I0WUbZsWSW2r1tf86xPtRbrjkVVLyWlqI8XuVVg+CVmL0uUZNRXGok2+kn26w3eskzcd/ZKHsIMPVwdlULoY26+k+XlzVWMama4w2rOB4zgrKro17UY7Ot4fHz2642YxfjZtptu2Ni/WlfsbJq9p9fV5DV38cbdZOiHGa9kLORj0np8bz1XP4hRmGhGOtfbdTDVjPFdmlrauZVa/HQjGmNNCt1bb1BsOVobZ2ObFwLZ2idYdgaG6bkyPBsyxvM8NwufT68zSXguT59V4/UXi30VhwvYt3wXJbjW3OroKTDqj9x7Au8+itGOT7nRzxp3NNMbFyjZ2aaam0uSUt2q8UkZZs7Fa39562z7IbZZp1FTw4zfaG5VON5VfsWsUu1WPLMjx+lnS5UMuw4hc79X3LEZ9kxmfRmaqbK52ZnOmULLZbGcQ1/Dn6JnraWrOzxPFniUZVaccZ70M35j4NctjNWtXXnD7HI0XaletVr7dMqNbOlVL+sO/VLUzyV3KdNnXxq14uv8AHvlHM4Tp18wq1p+hcbFWb5gFwxAjPdXoc2z9meefla6pMRnur0ObZ+zPPPytdVK/2C75Kz9CS50vbmp85o/WwbBOpvqsdaPL/pr3dY4sAr/1N9VjrR5f9Ne7rHFgHMj6PgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADMt4s/0hmpPJlfPffLaaWZbxZ/pDNSeTK+e++W2Psj7ouL+Vt/ZrkfeVT3v+0nzbV/eOmpgAn1wwAAAAAAAAIz3V6HNs/Znnn5WuqTEZ7q9Dm2fszzz8rXVSv8AYLvkrP0JLnS9uanzmj9bBsE6m+qx1o8v+mvd1jiwCv8A1N9VjrR5f9Ne7rHFgHMj6PgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADMt4s/0hmpPJlfPffLaaWZbxZ/pDNSeTK+e++W2Psj7ouL+Vt/ZrkfeVT3v+0nzbV/eOmpgAn1wwAAAAAAAAIz3V6HNs/Znnn5WuqTEZ7q9Dm2fszzz8rXVSv9gu+Ss/QkudL25qfOaP1sGwTqb6rHWjy/6a93WOLAK/8AU31WOtHl/wBNe7rHFgHMj6PgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADOP4s2qN9XjubqTZ+uOvG6dzYVJ6xXvA7leNTYnT5TLsuURbVgyGVbLtLm3a2zKWOotPHNVIj44mwRw8cw/p4i/o0cC84/eu43co3tfEM3a8pSrxZHModZQlDPejiUc5x3Z59aWPP0yxPO8Lp9oeJ3OG383R1N6EK7s68413YjXdXfHuTlCyMc9+qPXrCXWPXHTz9cYyfkT2i+ot3M+6Ck+KT5E9ovqLdzPugpPils2G1+n/nf8Gh9Hs+sIv9QrsV925z6fr/AFFjJ+RPaL6i3cz7oKT4pPkT2i+ot3M+6Ck+KWzYPT/zv+DQ+j2fWD1CuxX3bnPp+v8AUWMn5E9ovqLdzPugpPik+RPaL6i3cz7oKT4pbNg9P/O/4ND6PZ9YPUK7Ffduc+n6/wBRYyfkT2i+ot3M+6Ck+KT5E9ovqLdzPugpPils2D0/87/g0Po9n1g9QrsV925z6fr/AFFjJ+RPaL6i3cz7oKT4pPkT2i+ot3M+6Ck+KWzYPT/zv+DQ+j2fWD1CuxX3bnPp+v8AUWMn5E9ovqLdzPugpPil4vZOre2OT67z3GrV0U7jx3TIcLymx22CfqWjkyYq+7WOvoKOGdOiynniVKiqKiXxMmc8c8S4OeYueOeOG2oeZ9vecnGUMw0Oko5jnpr2deksZxnp9v8AX6Ze6/Id2LqsrtjbzfernGyPXe18470JYljrj0DjrjrjHXz48396F+t+P3nE+u+hcWyO3VFoyHGtL6tx+/Wmrhhhq7XebNg9it10t1TDBFHDDUUVdTT6adDDHFDxMlRccRRcfo55mgGlJjAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAf/2Q==';
diagramInstance.exportImage(base64, exportOptions);
};
return (
// Initialize Diagram component
<div>
<button id="export" onClick={handleExport}>Export Diagram</button>
<DiagramComponent
id="container"
ref={(diagram) => (diagramInstance = diagram)}
width={'100%'}
height={'600px'}
nodes={nodes}
>
<Inject services={[PrintAndExport]} />
</DiagramComponent>
</div>
);
};
// Render the App component into the 'diagram' element in the DOM
const root = ReactDOM.createRoot(document.getElementById("diagram"));
root.render(<App />);import * as React from "react";
import * as ReactDOM from "react-dom";
import { DiagramComponent, Inject, IExportOptions, NodeModel, Rect,
PrintAndExport } from "@syncfusion/ej2-react-diagrams";
export default function App() {
let diagramInstance: DiagramComponent;
let nodes: NodeModel[] = [];
//Function to print the diagram objects.
function handleExport() {
let exportOptions: IExportOptions = {};
exportOptions.pageWidth = 1000;
exportOptions.pageHeight = 800;
exportOptions.bounds = new Rect(0, 0, 800, 800);
//Base64 data
let base64 =
'data:image/png;base64,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';
diagramInstance.exportImage(base64, exportOptions);
};
return (
// Initialize Diagram component
<div>
<button id="export" onClick={handleExport}>Export Diagram</button>
<DiagramComponent
id="container"
ref={(diagram: any) => (diagramInstance = diagram)}
width={'100%'}
height={'600px'}
nodes={nodes}
>
<Inject services={[PrintAndExport]} />
</DiagramComponent>
</div>
);
};
// Render the App component into the 'diagram' element in the DOM
const root = ReactDOM.createRoot(document.getElementById("diagram") as HTMLElement);
root.render(<App />);Diagram Content Retrieval
The getDiagramContent method retrieves the HTML representation of the diagram at runtime. This functionality supports dynamic content analysis and processing.
import * as React from "react";
import * as ReactDOM from "react-dom";
import { DiagramComponent, Inject, PrintAndExport } from "@syncfusion/ej2-react-diagrams";
export default function App() {
let diagramInstance;
// Initialize Nodes for the diagram
let nodes = [
{
id: 'node1',
width: 100,
height: 100,
annotations: [{ content: 'Node 1' }],
offsetX: 200,
offsetY: 100,
style: {
strokeColor: '#6BA5D7',
fill: '#6BA5D7',
},
}
];
//Function to export the diagram objects.
function handleExport() {
/**
* parameter (Optional) - defines the collection of style files to be considered while exporting.
*/
let content = diagramInstance.getDiagramContent();
console.log(content);
};
return (
// Initialize Diagram component
<div>
<button id="export" onClick={handleExport}>Export Diagram</button>
<DiagramComponent
id="container"
ref={(diagram) => (diagramInstance = diagram)}
width={'100%'}
height={'600px'}
nodes={nodes}
>
<Inject services={[PrintAndExport]} />
</DiagramComponent>
</div>
);
};
// Render the App component into the 'diagram' element in the DOM
const root = ReactDOM.createRoot(document.getElementById("diagram"));
root.render(<App />);import * as React from "react";
import * as ReactDOM from "react-dom";
import { DiagramComponent, Inject, NodeModel, PrintAndExport } from "@syncfusion/ej2-react-diagrams";
export default function App() {
let diagramInstance: DiagramComponent;
// Initialize Nodes for the diagram
let nodes: NodeModel[] = [
{
id: 'node1',
width: 100,
height: 100,
annotations: [{ content: 'Node 1' }],
offsetX: 200,
offsetY: 100,
style: {
strokeColor: '#6BA5D7',
fill: '#6BA5D7',
},
}
];
//Function to print the diagram objects.
function handleExport() {
/**
* parameter (Optional) - defines the collection of style files to be considered while exporting.
*/
let content = diagramInstance.getDiagramContent();
console.log(content);
};
return (
// Initialize Diagram component
<div>
<button id="export" onClick={handleExport}>Export Diagram</button>
<DiagramComponent
id="container"
ref={(diagram: any) => (diagramInstance = diagram)}
width={'100%'}
height={'600px'}
nodes={nodes}
>
<Inject services={[PrintAndExport]} />
</DiagramComponent>
</div>
);
};
// Render the App component into the 'diagram' element in the DOM
const root = ReactDOM.createRoot(document.getElementById("diagram") as HTMLElement);
root.render(<App />);Stretch Option for Enhanced Quality
The stretch property improves exported image quality by adjusting the aspect ratio. Images exported with stretch enabled are clearer but result in larger file sizes.
The following code example illustrates how to export the region occupied by the diagram elements.
function App() {
let diagramInstance;
function handleExport() {
let options = {};
options.mode = 'Download';
options.margin = { left: 10, right: 10, top: 10, bottom: 10};
options.fileName = 'diagram';
options.format = 'SVG';
options.region = 'Content';
options.stretch = 'Stretch';
diagramInstance.exportDiagram(options);
}
return (
<div>
<button onClick={handleExport}>Export</button>
<DiagramComponent
id="container"
width={'1500'}
height={'1500'}
ref={(diagram) => (diagramInstance = diagram)}
>
<Inject services={[PrintAndExport]} />
</DiagramComponent>
</div>
);
}
const root = ReactDOM.createRoot(document.getElementById('diagram'));
root.render(<App />);
Export Limitations
Currently, exporting diagram into image format with native and HTML nodes is not supported. To overcome this limitation, we make use of the Syncfusion® Essential® PDF library. This library incorporates the Syncfusion® Essential® HTML converter, which employs the advanced Blink rendering engine. This converter seamlessly transforms HTML content into images. Refer to export Html-and-Native node kb for more information.