require(["esri/symbols/CIMSymbol"], (CIMSymbol) => { /* code goes here */ });
import CIMSymbol from "@arcgis/core/symbols/CIMSymbol.js";
esri/symbols/CIMSymbol
CIMSymbols are high quality, scalable, multi-layer vector symbols for features and graphics. They allow the user to add more customizations to their symbols, using one or more symbol layers to create unique symbols. CIMSymbols can be created from CIMSymbolReference JSON that complies with the CIM specification by passing the JSON to the data property. Not everything in the CIM specification is currently supported in the ArcGIS Maps SDK for JavaScript. The documentation on this page details the current support in the API.
Symbol and symbol layer types
The symbol
property in the CIMSymbolReference
can be of type CIMPointSymbol, CIMLineSymbol, or CIMPolygonSymbol.
Each symbol is made up of one or more symbolLayers
. Symbol layers are the building blocks of CIM symbols,
they combine to make rich graphical depictions. You can configure the shape, color, texture, size, position, etc of each symbol layer,
and combine multiple symbol layers to create your desired symbol. The Symbol Builder provides a simple user interface
to experiment with symbol layers and their properties.
All CIMSymbols have at least one symbol layer, but can have more, as outlined in the following table:
Symbol type | Typical symbol layers | Role |
---|---|---|
CIMPointSymbol | Marker layers: CIMVectorMarker, CIMPictureMarker | Draw relative to the point geometry |
CIMLineSymbol | Marker layers: CIMVectorMarker, CIMPictureMarker | Draw at specified locations relative to the line geometry. |
Stroke layers: CIMSolidStroke, CIMPictureStroke | Draw relative to the line geometry. | |
CIMPolygonSymbol | Marker layers: CIMVectorMarker, CIMPictureMarker | Draw relative to the polygon outline or within the polygon interior, depending on the marker placement setting. |
Stroke layers: CIMSolidStroke, CIMPictureStroke | Draw relative to the polygon outline. | |
Fill layers: CIMSolidFill, CIMHatchFill, CIMPictureFill | Draw relative to the polygon interior. |
Primitive overrides
Primitive overrides allow you to use Arcade expressions to dynamically change many symbol layer properties
from attribute values in your data. Primitive overrides are defined on the primitiveOverrides
property in the CIMSymbolReference
- this property takes in an array of objects,
each object representing a primitive override on a specific symbol layer.
Below is an example of a CIMSymbol with a primitive override that changes the color of a symbol layer based on the value of the DailyTraffic
attribute on each feature.
const symbol = new CIMSymbol({
data: {
type: "CIMSymbolReference",
primitiveOverrides: [{
type: "CIMPrimitiveOverride",
// primitiveName matches the primitiveName on the symbol layer
primitiveName: "symbol-layer-1",
propertyName: "Color", // property to be overridden
valueExpressionInfo: {
type: "CIMExpressionInfo",
// colors the symbol layer red if the DailyTraffic is greater than 10,000, orange otherwise
expression: `IIF($feature.DailyTraffic > 10000, "rgba(255,0,0,1)", "rgba(255,165,0,1)")`,
returnType: "Default"
}
}],
symbol: {
type: "CIMLineSymbol",
symbolLayers: [
{
type: "CIMSolidStroke",
// primitiveName matches the primitiveName on the primitive override
primitiveName: "symbol-layer-1",
enable: true,
// the property to be overridden
color: [0, 0, 0, 255],
width: 2
},
// other symbol layers
]
}
}
});
See Primitive overrides for more information.
Animations (beta)
Since 4.31
Symbol animations can be used to highlight freshness of data or draw attention to specific features. In CIMSymbol, animations can be defined on the symbol level (global animations) or on the symbol layer level. Global animations are applied to the entire symbol, while symbol layer animations are applied to a specific symbol layer in the symbol. Similar to other symbol properties, animation properties can be overridden based on attribute values using primitive overrides.
The following animation types are supported:
Global animations
Global animations are currently only supported on CIMPointSymbols. They are defined on the animations
property of the CIMPointSymbol
and are applied to the entire symbol.
const symbol = new CIMSymbol({
data: {
type: "CIMSymbolReference",
symbol: {
type: "CIMPointSymbol",
animations: [{ ... }], // global animation applied to the entire symbol
symbolLayers: [{ ... }],
}
}
});
Symbol layer animations
Symbol layer animations are defined on the animations
property of the symbol layer and only apply to a specific symbol layer in the symbol. All symbol layer animations are supported on CIMVectorMarker and CIMPictureMarker symbol layers. Color and transparency animations are also supported on CIMSolidFill and CIMSolidStroke symbol layers.
const symbol = new CIMSymbol({
data: {
type: "CIMSymbolReference",
symbol: {
type: "CIMPointSymbol",
symbolLayers: [{
type: "CIMVectorMarker",
enable: true,
animations: [{ ... }], // animation applied to this symbol layer
// other props for the symbol layer
}]
}
}
});
Known Limitations for CIMSymbol animations
- Animations are not currently supported in 3D SceneView.
- Animated symbols are not currently supported in the Legend widget.
- Global animations are currently only supported on CIMPointSymbols.
- Symbol layer animations are not fully supported within a CIMLineSymbol or CIMPolygonSymbol. If you use an animated marker within a line or polygon symbol, the marker placement will not be properly honored at this time. We will improve this behavior at a future release.
Utility functions for working with CIMSymbol
To get or set the values for color, rotation, and size on the CIMSymbol, use the utility functions found in cimSymbolUtils
.
The symbolService can be used to create a CIMSymbol from SVG.
Known Limitations
- Not currently supported
- CIMLineSymbol and CIMPolygonSymbol in 3D SceneView
- CIMGradientFill and CIMGradientStroke symbol layers
- The following markerPlacements on CIMMarker:
CIMMarkerPlacementAlongLineRandomSize
,CIMMarkerPlacementAlongLineVariableSize
, andCIMMarkerPlacementAtMeasuredUnits
. - CIMMeshSymbol
- Limited support
- CIMTextSymbol is only supported when it is embedded in a CIMVectorMarker symbol layer. It is not currently supported as a standalone symbol.
- Currently, CIMGeometricEffects are not supported with labels.
- The possible values for fontFamilyName property on CIMTextSymbol are dependent upon if you working with a MapView or SceneView. See the Labeling guide page for detailed explanation.
Unsupported fonts will fall back to
Arial Unicode MS Regular
in MapView andsans-serif
in SceneView. - Currently,
color
property expects an array of numbers [r, g, b, a] which is different from the CIM Specification. - Symbols with CIMPictureMarkers, CIMPictureStroke, or CIMPictureFill with geometric effects are not currently supported in the Legend widget.
- Symbols with primitive overrides are not currently supported in the Legend widget.
- Primitive overrides on geometric effects embedded in a CIMVectorMarker symbol layer's marker graphics are not supported at this time.
- See also
Constructors
-
Parameterproperties Objectoptional
See the properties for a list of all the properties that may be passed into the constructor.
Property Overview
Name | Type | Summary | Class |
---|---|---|---|
The JSON payload of the CIMSymbolReference. | CIMSymbol | ||
The name of the class. | Accessor | ||
The symbol type. | CIMSymbol |
Property Details
-
data
data CIMSymbolReference
-
The JSON payload of the CIMSymbolReference. The CIMSymbolReference is comprised of the symbol, primitive overrides, and scale.
Symbol: The
symbol
property can be of type CIMPointSymbol, CIMLineSymbol, or CIMPolygonSymbol. Each symbol is made up of one or moresymbolLayers
. Symbol layers are the building blocks of CIM symbols, they combine to make rich graphical depictions. You can configure the shape, color, texture, size, position, etc of each symbol layer, and combine multiple symbol layers to create your desired symbol. The Symbol Builder provides a simple user interface to experiment with symbol layers and their properties.Primitive overrides: Primitive overrides allow you to use Arcade expressions to dynamically change many symbol layer properties from data values. Primitive overrides are defined on the
primitiveOverrides
property - this property takes in an array of objects, each object representing a primitive override on a specific symbol layer.Minimum and maximum scale: (Since version 4.20) The
minScale
andmaxScale
values will determine the scale values at which your symbol will be visible in the view. To show your symbol at all scales, these properties can either be ignored or set to 0.Exampleconst cimSymbol = new CIMSymbol({ data: { type: "CIMSymbolReference", minScale: 750000, // only allow the symbol to be shown at certain scales maxScale: 80000, symbol: { type: "CIMLineSymbol", symbolLayers: [{ ... }] }, primitiveOverrides: [{ type: "CIMPrimitiveOverride", primitiveName: "symbol-layer-1", // the name of the symbol layer we want to override propertyName: "Size", // the name of the property on the symbol layer we want to override valueExpressionInfo: { type: "CIMExpressionInfo", title: "Size override", expression: "..." // the expression to change the size of the symbol } }] } });
Method Overview
Name | Return Type | Summary | Class |
---|---|---|---|
Adds one or more handles which are to be tied to the lifecycle of the object. | Accessor | ||
Creates a deep clone of the symbol. | CIMSymbol | ||
* | Creates a new instance of this class and initializes it with values from a JSON object generated from an ArcGIS product. | Symbol | |
Returns true if a named group of handles exist. | Accessor | ||
Removes a group of handles owned by the object. | Accessor | ||
Converts an instance of this class to its ArcGIS portal JSON representation. | Symbol |
Method Details
-
Inherited from Accessor
Since: ArcGIS Maps SDK for JavaScript 4.25Accessor since 4.0, addHandles added at 4.25. -
Adds one or more handles which are to be tied to the lifecycle of the object. The handles will be removed when the object is destroyed.
// Manually manage handles const handle = reactiveUtils.when( () => !view.updating, () => { wkidSelect.disabled = false; }, { once: true } ); this.addHandles(handle); // Destroy the object this.destroy();
ParametershandleOrHandles WatchHandle|WatchHandle[]Handles marked for removal once the object is destroyed.
groupKey *optionalKey identifying the group to which the handles should be added. All the handles in the group can later be removed with Accessor.removeHandles(). If no key is provided the handles are added to a default group.
-
Creates a new instance of this class and initializes it with values from a JSON object generated from an ArcGIS product. The object passed into the input
json
parameter often comes from a response to a query operation in the REST API or a toJSON() method from another ArcGIS product. See the Using fromJSON() topic in the Guide for details and examples of when and how to use this function.Parameterjson ObjectA JSON representation of the instance in the ArcGIS format. See the ArcGIS REST API documentation for examples of the structure of various input JSON objects.
ReturnsType Description * Returns a new instance of this class.
-
hasHandles
InheritedMethodhasHandles(groupKey){Boolean}
Inherited from AccessorSince: ArcGIS Maps SDK for JavaScript 4.25Accessor since 4.0, hasHandles added at 4.25. -
Returns true if a named group of handles exist.
ParametergroupKey *optionalA group key.
ReturnsType Description Boolean Returns true
if a named group of handles exist.Example// Remove a named group of handles if they exist. if (obj.hasHandles("watch-view-updates")) { obj.removeHandles("watch-view-updates"); }
-
Inherited from Accessor
Since: ArcGIS Maps SDK for JavaScript 4.25Accessor since 4.0, removeHandles added at 4.25. -
Removes a group of handles owned by the object.
ParametergroupKey *optionalA group key or an array or collection of group keys to remove.
Exampleobj.removeHandles(); // removes handles from default group obj.removeHandles("handle-group"); obj.removeHandles("other-handle-group");
-
toJSON
InheritedMethodtoJSON(){Object}
Inherited from Symbol -
Converts an instance of this class to its ArcGIS portal JSON representation. See the Using fromJSON() guide topic for more information.
ReturnsType Description Object The ArcGIS portal JSON representation of an instance of this class.
Type Definitions
-
CIMAnimatedSymbolProperties
CIMAnimatedSymbolProperties Object
Since: ArcGIS Maps SDK for JavaScript 4.24CIMSymbol since 4.12, CIMAnimatedSymbolProperties added at 4.24. -
Represents animated symbol properties, a collection of symbol properties that apply when the symbol layer has animation data.
- Properties
-
playAnimation Boolean
Indicates whether the animated symbol should play its animation.
reverseAnimation BooleanIndicates whether the animated symbol should play back in reverse.
randomizeStartTime BooleanIndicates whether to generate a randomized start offset in seconds to apply to the symbol animation of each feature.
randomizeStartSeed NumberThe starting value for generating a random number. Used by the
randomizeStartTime
property to determine the time offset for each feature.startTimeOffset NumberThe time offset in seconds to use as the starting point of the symbol animation. This is used if
randomizeStartTime
isfalse
.duration NumberThe time (in seconds) it take to play through the symbol's animation once. This determines a symbol's playback speed.
repeatType StringDetermines how to repeat the animation of a symbol when the animation cycle ends.
Possible Values:"None"|"Loop"|"Oscillate"
repeatDelay NumberThe number of seconds to delay before repeating an animation cycle.
easing StringSince 4.31 The easing method to use when animating the symbol. Only for use with CIMSymbolAnimation, not animated GIFs/PNGs.
Possible Values:"Linear"|"EaseIn"|"EaseOut"|"EaseInOut"
- See also
-
CIMBackgroundCallout
CIMBackgroundCallout Object
Since: ArcGIS Maps SDK for JavaScript 4.26CIMSymbol since 4.12, CIMBackgroundCallout added at 4.26. -
Represents a background callout for a CIMTextSymbol.
- Properties
-
type String
The callout type.
The value is always "CIMBackgroundCallout".
backgroundSymbol CIMPolygonSymbolThe symbol used to draw the background. Currently, only CIMSolidStroke and CIMSolidFill symbol layers without geometric effects are supported within this symbol.
- See also
-
CIMColorSubstitution
CIMColorSubstitution Object
-
Represents color substitution, an ordered list of color substitutes.
"colorSubstitutions": [ { // replace all white in the image with black oldColor: [255, 255, 255, 255], newColor: [0, 0, 0, 255] } ]
-
CIMGeometricEffect
CIMGeometricEffect CIMGeometricEffectArrow |CIMGeometricEffectBuffer |CIMGeometricEffectControlMeasureLine |CIMGeometricEffectCut |CIMGeometricEffectDashes |CIMGeometricEffectDonut |CIMGeometricEffectJog |CIMGeometricEffectMove |CIMGeometricEffectOffset |CIMGeometricEffectRotate |CIMGeometricEffectScale |CIMGeometricEffectWave
-
Represents a geometric effect.
-
CIMGeometricEffectArrow
CIMGeometricEffectArrow Object
Since: ArcGIS Maps SDK for JavaScript 4.16CIMSymbol since 4.12, CIMGeometricEffectArrow added at 4.16. -
Represents the arrow geometric effect which creates a dynamic line along a line feature with an arrow of a specified arrow type and width.
{ "type": "CIMGeometricEffectArrow", "geometricEffectArrowType": "Crossed", "width": 15 }
The following image shows what the effect defined in the code snippet above looks like on a CIMSolidStroke symbol layer.
- Properties
-
type String
The value is always "CIMGeometricEffectArrow".
primitiveName StringThe primitive name.
geometricEffectArrowType StringThe type of arrow to be displayed.
Possible Values:"OpenEnded"|"Block"|"Crossed"
width NumberThe distance between the lines that construct the body of the arrow.
- See also
-
CIMGeometricEffectBuffer
CIMGeometricEffectBuffer Object
Since: ArcGIS Maps SDK for JavaScript 4.16CIMSymbol since 4.12, CIMGeometricEffectBuffer added at 4.16. -
Represents the buffer geometric effect which creates a dynamic polygon with a specified distance around features.
{ "type": "CIMGeometricEffectBuffer", "size": 5 }
The following image shows what the effect defined in the code snippet above looks like on a CIMSolidStroke symbol layer.
- Properties
- See also
-
CIMGeometricEffectControlMeasureLine
CIMGeometricEffectControlMeasureLine Object
Since: ArcGIS Maps SDK for JavaScript 4.22CIMSymbol since 4.12, CIMGeometricEffectControlMeasureLine added at 4.22. -
Represents the control measure line geometric effect.
- Properties
-
type String
The value is always "CIMGeometricEffectControlMeasureLine".
primitiveName StringThe primitive name.
rule StringThe style of effect. Must be a value from the list of GeometricEffectControlMeasureLineRule.
- See also
-
CIMGeometricEffectCut
CIMGeometricEffectCut Object
Since: ArcGIS Maps SDK for JavaScript 4.16CIMSymbol since 4.12, CIMGeometricEffectCut added at 4.16. -
Represents the cut geometric effect which creates a dynamic line that is shorter on one or both ends than the line feature or polygon outline.
{ "type": "CIMGeometricEffectCut", "beginCut": 10, // cut 10px from the beginning of the line "middleCut": 15, // cut 15px from the middle of the line "endCut": 0 // don't cut the end of the line }
The following image shows what the effect defined in the code snippet above looks like on a CIMSolidStroke symbol layer.
- Properties
-
type String
The value is always "CIMGeometricEffectCut".
primitiveName StringThe primitive name.
beginCut NumberThe distance from the beginning of a line that the display of the stroke starts. The beginning of the line is determined by the direction in which the line was digitized.
endCut NumberThe distance from the end of a line that the display of the stroke ends. The end of the line is determined by the direction in which the line was digitized.
middleCut NumberThe distance around the middle of a line that the display of the stroke is interrupted.
invert BooleanA value indicating whether the effect should be applied in the opposite manner. This displays the stroke symbol only at the ends of the line and leaves the rest of the line unsymbolized.
- See also
-
CIMGeometricEffectDashes
CIMGeometricEffectDashes Object
Since: ArcGIS Maps SDK for JavaScript 4.16CIMSymbol since 4.12, CIMGeometricEffectDashes added at 4.16. -
Represents the dashes geometric effect which creates a dynamic multipart line geometry from a line feature or the outline of a polygon based on a template.
{ "type": "CIMGeometricEffectDashes", "dashTemplate": [5,5,1,5], // [dash, gap, dash, gap] "lineDashEnding": "NoConstraint", "offsetAlongLine": 0 }
The following image shows what the effect defined in the code snippet above looks like on a CIMSolidStroke symbol layer.
- Properties
-
type String
The value is always "CIMGeometricEffectDashes".
primitiveName StringThe primitive name.
customEndingOffset NumberWhere the pattern should end relative to the ending point of the geometry. Negative numbers indicate a shift to the left and positive numbers a shift to the right. This property is only applied if the
lineDashEnding
is set to"Custom"
.The distance for each dash and gap. There can be multiple dash and gap values to form a complex pattern (i.e. [2,5] where 2 is the length of the dash and 5 is the length of the gap).
lineDashEnding StringThe setting which determines how the strokes with dash patterns are handled at the end points of the line geometry's segments.
Possible Values:"NoConstraint"|"HalfPattern"|"HalfGap"|"FullPattern"|"FullGap"|"Custom"
offsetAlongLine NumberThe position where the pattern should begin relative to the starting point of the geometry. It shifts the entire pattern along the line the specified distance. Negative values indicate a shift to the left and positive numbers a shift to the right. This property is only applied if
lineDashEnding
is set toNoConstraint
orCustom
. - See also
-
CIMGeometricEffectDonut
CIMGeometricEffectDonut Object
Since: ArcGIS Maps SDK for JavaScript 4.26CIMSymbol since 4.12, CIMGeometricEffectDonut added at 4.26. -
Represents the donut geometric effect which creates a dynamic polygon ring of a specified width in relation to the outline of polygon features.
- Properties
-
type String
The value is always "CIMGeometricEffectDonut".
primitiveName StringThe primitive name.
option StringThe option for the way the symbol handles complex geometries.
Possible Values:"Fast"|"Accurate"
width NumberThe distance from the edge of the polygon that the fill symbol is to be displayed.
- See also
-
CIMGeometricEffectJog
CIMGeometricEffectJog Object
Since: ArcGIS Maps SDK for JavaScript 4.16CIMSymbol since 4.12, CIMGeometricEffectJog added at 4.16. -
Represents the jog geometric effect which creates a dynamic line with a jog of a specified angle, position, and width in the line.
{ "type": "CIMGeometricEffectJog", "angle": 225, "length": 20, "position": 50 }
The image below shows a CIMSolidStroke symbol layer with the
CIMGeometricEffectJog
effect applied as defined in the snippet above.- Properties
-
type String
The value is always "CIMGeometricEffectJog".
primitiveName StringThe primitive name.
angle NumberThe angle of the job in the line which is measured in degrees.
length NumberThe length of the segment that forms the jog in the line.
position NumberThe location of the center of the jog, as a percentage measured from the start of the input geometry.
- See also
-
CIMGeometricEffectMove
CIMGeometricEffectMove Object
Since: ArcGIS Maps SDK for JavaScript 4.16CIMSymbol since 4.12, CIMGeometricEffectMove added at 4.16. -
Represents the move geometric effect which creates a point, line or polygon that is offset a specified distance in X and Y.
{ "type": "CIMGeometricEffectMove", "offsetX": 10, "offsetY": -5 }
- Properties
-
type String
The value is always "CIMGeometricEffectMove".
primitiveName StringThe primitive name.
offsetX NumberThe distance to move the symbol along the X-axis of the feature geometry.
offsetY NumberThe distance to move the symbol along the Y-axis of the feature geometry.
- See also
-
CIMGeometricEffectOffset
CIMGeometricEffectOffset Object
Since: ArcGIS Maps SDK for JavaScript 4.16CIMSymbol since 4.12, CIMGeometricEffectOffset added at 4.16. -
Represents the offset geometric effect which creates a dynamic line or polygon offset at a specified distance perpendicularly from a feature.
{ "type": "CIMGeometricEffectOffset", "offset": 5, "method": "Rounded", "option": "Fast" }
- Properties
-
type String
The value is always "CIMGeometricEffectOffset".
primitiveName StringThe primitive name.
method StringThe way strokes or fills are displayed at corners.
Possible Values:"Mitered"|"Bevelled"|"Rounded"|"Square"
offset NumberThe distance of the symbol perpendicular to the feature geometry.
option StringThe way the symbol handles complex geometries.
Possible Values:"Fast"|"Accurate"
- See also
-
CIMGeometricEffectRotate
CIMGeometricEffectRotate Object
Since: ArcGIS Maps SDK for JavaScript 4.16CIMSymbol since 4.12, CIMGeometricEffectRotate added at 4.16. -
Represents the rotate geometric effect which creates a dynamic line or polygon rotated a specified angle from the feature.
{ // rotates the symbol 90 degrees from the symbol's geometry "type": "CIMGeometricEffectRotate", "angle": 90 }
- Properties
- See also
-
CIMGeometricEffectScale
CIMGeometricEffectScale Object
Since: ArcGIS Maps SDK for JavaScript 4.16CIMSymbol since 4.12, CIMGeometricEffectScale added at 4.16. -
Represents the scale geometric effect which creates a dynamic line or polygon scaled by a specified factor. Vertices are moved in relation to the center point of a feature envelope. Values greater than 1 move vertices away from the center point. Values between 0 and 1 move vertices toward the center point. Values less than 0 draw an inverse dynamic line or polygon where the vertices have crossed to the other side of the center point.
{ "type": "CIMGeometricEffectScale", "xScaleFactor": 1.5, "yScaleFactor": 1.5 }
- Properties
-
type String
The value is always "CIMGeometricEffectScale".
primitiveName StringThe primitive name.
xScaleFactor NumberThe amount of change in size of a symbol in the x-axis. The value is expressed in terms of a ratio/percentage.
yScaleFactor NumberThe amount of change in size of a symbol in the y-axis. The value is expressed in terms of a ratio/percentage.
- See also
-
CIMGeometricEffectWave
CIMGeometricEffectWave Object
Since: ArcGIS Maps SDK for JavaScript 4.16CIMSymbol since 4.12, CIMGeometricEffectWave added at 4.16. -
Represents the wave geometric effect which creates a dynamic line or polygon along a feature with a repeating wave pattern.
{ "type": "CIMGeometricEffectWave", "amplitude": 5, "period": 5, "waveform": "Square" }
The image below shows a CIMSolidStroke symbol layer with the
CIMGeometricEffectWave
effect applied as defined in the snippet above.- Properties
-
type String
The value is always "CIMGeometricEffectWave".
primitiveName StringThe primitive name.
amplitude NumberThe distance perpendicular to a feature to display the curves for the symbol.
period NumberThe distance along the line or polygon to display the curves for the symbol.
seed NumberThe starting value for generating a random number. This is only used when the
waveform
is set to"Random"
.waveform StringThe shape of the curves to be displayed along the symbol.
Possible Values:"Sinus"|"Square"|"Triangle"|"Random"
- See also
-
CIMHatchFill
CIMHatchFill Object
-
Represents a hatch fill which fills polygonal geometry with a uniform series of parallel line symbols.
{ "type": "CIMHatchFill", "enable": true, "lineSymbol": { "type": "CIMLineSymbol", "symbolLayers": [{ "type": "CIMSolidStroke", "enable": true, "capStyle": "Butt", "joinStyle": "Miter", "miterLimit": 10, "width": 1, "color": [255, 61, 61, 255] }] }, "rotation": 45, "separation": 5 }
The following image shows a CIMPolygonSymbol with a
CIMHatchFill
symbol layer (as defined in the code snippet above).- Properties
-
type String
The value is always "CIMHatchFill".
effects CIMGeometricEffect[]The geometric effects applied to the symbol layer. Effects dynamically alter the geometry when the symbology is applied. Multiple effects applied to a symbol layer are rendered sequentially.
enable BooleanA value indicating whether the symbol layer is visible. The symbol layer draws only when enabled.
colorLocked BooleanA value indicating whether the color can be changed for this symbol layer. If the symbol layer is colorLocked, then any changes to the symbol's color property will not be applied to this symbol layer.
primitiveName StringThe primitive name of the symbol. Used when setting a PrimitiveOverride.
lineSymbol CIMLineSymbolThe line symbol that is used to draw the hatch lines in the fill.
offsetX NumberHow much to move the stroke to a new X-position.
offsetY NumberHow much to move the stroke to a new Y-position.
rotation NumberThe angle of rotation for all the strokes, in degrees.
separation NumberThe distance between the line symbols in the hatch pattern.
- See also
-
CIMLineSymbol
CIMLineSymbol Object
Since: ArcGIS Maps SDK for JavaScript 4.16CIMSymbol since 4.12, CIMLineSymbol added at 4.16. -
Represents a line symbol used to draw polyline features and graphics.
The code snippet below shows an example of a CIMLineSymbol with one CIMSolidStroke symbol layer with a dash effect on top of another CIMSolidStroke layer as shown below.
const lineSymbol = new CIMSymbol({ data: { type: "CIMSymbolReference", symbol: { type: "CIMLineSymbol", symbolLayers: [{ type: "CIMSolidStroke", effects: [{ type: "CIMGeometricEffectDashes", dashTemplate: [5, 5], lineDashEnding: "FullGap", controlPointEnding: "NoConstraint" }], enable: "true", capStyle: "Butt", joinStyle: "Round", width: 2.6, color: [255, 255, 255, 255] }, { type: "CIMSolidStroke", enable: true, capStyle: "Butt", joinStyle: "Round", width: 3.4, color: [0, 0, 0, 255] }] } } });
- CIMLineSymbol is not currently supported in 3D SceneViews.
- Properties
-
type String
The value is always "CIMLineSymbol".
symbolLayers CIMSymbolLayer[]The symbol layers. Symbol layers are the components that make up a symbol. A symbol layer is represented by a marker, stroke, or fill symbol layer. Symbol layers are the building blocks of CIM symbols, they combine to make rich graphical depictions. You can configure the shape, color, texture, size, position, etc of each symbol layer, and combine multiple symbol layers to create your desired symbol. The symbol layers are typically displayed in the order they are defined, so the first symbol layer will be displayed on top, and the last symbol layer will be displayed on bottom. There are some limitations to this when working with FeatureLayers - see CIMSymbolLayer for more information.
effects CIMGeometricEffect[]The geometric effects applied to the symbol.
useRealWorldSymbolSizes BooleanA value indicating whether the symbol size properties are rendered using real world units or page units. When set to
true
, the symbol will draw using real world units (e.g. meters). - See also
-
CIMMarkerGraphic
CIMMarkerGraphic Object
-
Represents a marker graphic which is used to define vector graphics in a vector marker. The marker graphics are typically rendered from bottom to top, so the first marker graphic will be displayed at the bottom, and the last marker graphic will be displayed on top.
Known limitation
For CIMSymbols in a FeatureLayer, a marker graphic that contains a CIMTextSymbol will always be rendered on top, regardless of its order in the array of graphics.
- Properties
-
type String
The value is always "CIMMarkerGraphic".
geometry GeometryThe geometry of the marker.
The symbol used to draw the marker graphic. This can be a point, line, polygon or text symbol.
textString StringThe text that is defined within the marker if drawn with a text symbol.
primitiveName StringThe primitive name.
- See also
-
CIMMarkerPlacementAlongLineSameSize
CIMMarkerPlacementAlongLineSameSize Object
-
Represents marker placement along the line which places markers that are the same size evenly along a line or polygon outline.
"markerPlacement": { "type": "CIMMarkerPlacementAlongLineSameSize", "angleToLine": true, "offset": 0, "controlPointsPlacement": "NoConstraint", "customEndingOffset": 0, "endings": "NoConstraint", "offsetAlongLine": 0, "placementTemplate": [10, 10] }
The following image shows what the marker placement defined in the code snippet above looks like on a circular CIMVectorMarker symbol layer.
- Properties
-
type String
The value is always "CIMMarkerPlacementAlongLineSameSize".
primitiveName StringThe primitive name.
placePerPart BooleanA value indicating whether to consider individual geometry parts or the whole geometry.
angleToLine BooleanA value indicating whether to angle the marker to the line.
offset NumberThe offset.
customEndingOffset NumberWhere the pattern should end relative to the ending point of the geometry. The entire pattern is shifted along the line for the specified distance. Negative numbers shift to the left and positive numbers shift to the right. This is only applied if the
endings
property is set toCustom
.endings StringHow markers are placed at the end points of a line.
Possible Values:"NoConstraint"|"WithMarkers"|"WithFullGap"|"WithHalfGap"|"Custom"
offsetAlongLine NumberWhere the pattern should begin relative to the starting point of the geometry. The entire pattern is shifted along the line for the specified distance. Negative numbers shift to the left and positive numbers shift to the right. This is only applied if the
endings
property is set toNo Constraint
orCustom
.The numeric pattern that defines the sequence of placed markers and the length of space between them.
- See also
-
CIMMarkerPlacementAtExtremities
CIMMarkerPlacementAtExtremities Object
-
Represents marker placement at extremities which places markers at only one or both endpoints of a line.
"markerPlacement": { "type": "CIMMarkerPlacementAtExtremities", "angleToLine": true, "offset": 0, "extremityPlacement": "Both", "offsetAlongLine": 0 }
The following image shows what the marker placement defined in the code snippet above looks like on a circular CIMVectorMarker symbol layer.
- Properties
-
type String
The value is always "CIMMarkerPlacementAtExtremities".
primitiveName StringThe primitive name.
placePerPart BooleanA value indicating whether to consider individual geometry parts or the whole geometry.
angleToLine BooleanA value indicating whether to angle the marker to the line.
offset NumberThe offset.
extremityPlacement StringWhich ends of the line a marker will be placed.
Possible Values:"Both"|"JustBegin"|"JustEnd"|"None"
offsetAlongLine NumberThe distance from the ends of a line that the marker will be placed.
- See also
-
CIMMarkerPlacementAtRatioPositions
CIMMarkerPlacementAtRatioPositions Object
-
Represents marker placement at ratio positions which places a set number of markers along the line or the outline of a polygon.
"markerPlacement": { "type": "CIMMarkerPlacementAtRatioPositions", "angleToLine": true, "offset": 0, "beginPosition": 0, "endPosition": 0, "flipFirst": false, "positionArray": ["0", "0.5"] }
The following image shows what the marker placement defined in the code snippet above looks like on a circular CIMVectorMarker symbol layer.
- Properties
-
type String
The value is always "CIMMarkerPlacementAtRatioPositions".
primitiveName StringThe primitive name.
placePerPart BooleanA value indicating whether to consider individual geometry parts or the whole geometry.
angleToLine BooleanA value indicating whether to angle the marker to the line.
offset NumberThe offset.
beginPosition NumberThe distance from the beginning of a line that the marker will be placed.
endPosition NumberThe distance from the end of a line that the marker will be placed. The ending of a line is determined by the direction in which the line was digitized.
flipFirst BooleanA value indicating whether only the first marker will be rotated 180 degrees.
The array of positions.
- See also
-
CIMMarkerPlacementInsidePolygon
CIMMarkerPlacementInsidePolygon Object
-
Represents marker placement inside a polygon which defines how a polygon is filled with a pattern of markers.
"markerPlacement": { "type": "CIMMarkerPlacementInsidePolygon", "gridAngle": 0, "offsetX": 0, "offsetY": 0, "stepX": 20, "stepY": 20, "shiftOddRows": true }
The following image shows what the marker placement defined in the code snippet above looks like on a circular CIMVectorMarker symbol layer.
- Properties
-
type String
The value is always "CIMMarkerPlacementInsidePolygon".
primitiveName StringThe primitive name.
placePerPart BooleanA value indicating whether to consider individual geometry parts or the whole geometry.
gridAngle NumberThe orientation angle that the markers are placed on within the polygon.
gridType StringThe grid type which defines how markers are placed.
Random
is supported as of version 4.24.Possible Values:"Fixed"|"Random"
offsetX NumberThe marker row offset horizontally.
offsetY NumberThe marker row offset vertically.
shiftOddRows BooleanA value indicating whether every other row of markers should be shifted to create an offset grid.
stepX NumberThe distance between each marker on the X-axis of the grid.
stepY NumberThe distance between each marker on the Y-axis of the grid.
randomness NumberSince 4.24 A percentage that determines the randomness of markers within the polygon. Accepted values are between 0 and 100, with 0 being the least random and 100 being the most random. Only applied when
gridType
isRandom
.seed NumberSince 4.24 The starting value for generating a random pattern. Only applied when
gridType
isRandom
.clipping StringThe clipping option which specifies how markers should be clipped at the polygon boundary. The markers will always be clipped at the polygon boundary.
The value is always "ClipAtBoundary".
- See also
-
CIMMarkerPlacementOnLine
CIMMarkerPlacementOnLine Object
-
Represents a marker placement on the line.
"markerPlacement": { "type": "CIMMarkerPlacementOnLine", "angleToLine": true, "offset": 0, "relativeTo": "LineMiddle", "startPointOffset": 0 }
The following image shows what the marker placement defined in the code snippet above looks like on a circular CIMVectorMarker symbol layer.
- Properties
-
type String
The value is always "CIMMarkerPlacementOnLine".
primitiveName StringThe primitive name.
placePerPart BooleanA value indicating whether to consider individual geometry parts or the whole geometry.
angleToLine BooleanA value indicating whether to angle the marker to the line.
offset NumberThe offset.
relativeTo StringThe location on a line where a marker will be placed. The direction of the line is determined by the direction in which the line was digitized.
Possible Values:"LineMiddle"|"LineBeginning"|"LineEnd"|"SegmentMidpoint"
startPointOffset NumberThe distances from a specified location on a line that a marker will be placed.
- See also
-
CIMMarkerPlacementOnVertices
CIMMarkerPlacementOnVertices Object
-
Represents a marker placement on vertices which places a single marker on a line or polygon outline at a set distance from the middle or one of the endpoints.
"markerPlacement": { "type": "CIMMarkerPlacementOnVertices", "angleToLine": true, "offset": 0, "placeOnEndPoints": true, "placeOnRegularVertices": true }
The following image shows what the marker placement defined in the code snippet above looks like on a circular CIMVectorMarker symbol layer.
- Properties
-
type String
The value is always "CIMMarkerPlacementOnVertices".
primitiveName StringThe primitive name.
placePerPart BooleanA value indicating whether to consider individual geometry parts or the whole geometry.
angleToLine BooleanA value indicating whether to angle the marker to the line.
offset NumberThe offset.
placeOnControlPoints BooleanA value indicating whether a marker will be placed on the control points of the line.
placeOnEndPoints BooleanA value indicating whether a marker will be placed on the endpoints of the line.
placeOnRegularVertices BooleanA value indicating whether a marker will be placed on the vertices of the line.
- See also
-
CIMMarkerPlacementPolygonCenter
CIMMarkerPlacementPolygonCenter Object
-
Represents marker placement polygon center which defines how a single marker will be placed within the polygon.
"markerPlacement": { "type": "CIMMarkerPlacementPolygonCenter", "method": "OnPolygon", "offsetX": 0, "offsetY": 0, "clipAtBoundary": false }
The following image shows what the marker placement defined in the code snippet above looks like on a circular CIMVectorMarker symbol layer.
- Properties
-
type String
The value is always "CIMMarkerPlacementPolygonCenter".
primitiveName StringThe primitive name.
placePerPart BooleanA value indicating whether to consider individual geometry parts or the whole geometry.
method StringThe method used to determine the polygon center.
Possible Values:"OnPolygon"|"CenterOfMass"|"BoundingBoxCenter"
offsetX NumberThe value which offsets the marker horizontally from the center.
offsetY NumberThe value which offsets the marker vertically from the center.
clipAtBoundary BooleanA value indicating whether the marker should be clipped if it extends pasts the boundary of the polygon.
- See also
-
CIMPictureFill
CIMPictureFill Object
-
Represents a picture fill which fills polygonal geometry with a picture. Supported file types are .bmp, .jpg, .png, and .gif.
The following image shows a CIMPolygonSymbol with two
CIMPictureFill
symbol layers and a CIMSolidFill symbol layer (as defined in the code snippet below).{ "type": "CIMPolygonSymbol", "symbolLayers": [ { "type": "CIMPictureFill", "enable": true, "colorLocked": true, "url": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAgIAAAICCAYAAAC9RaXMAAAABmJLR0QAAAAAAAD5Q7t/AAAACXBI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rSIF7bKPWh4nprzB1qdj+u69bGxMXL48GFlYmJizf3t378/OnjwoD04OMib9mBrmva8rut/Vy6X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\nZ0NO6YwfuknKUbMDVACAdwHgGADUfAAh5kJpkiSNa5r2o1gs9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ZquijffM0lU99eUShXI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cunRpWdO0cmdn5+B7773HZ3MGzdRFcb6/a6hPmBaMQE1MjCUCAiyl5EoWW6qWx7hW5pAQ4tW2\ntrZPnzlz5i8dx1kRFyA2njOLAQw0FpwDgKQNG/McpJAQg1hcoTRedLc87erv78dhGHaGYXgn5zzb\nmP9SqNeIomi5EOIQJMaJXs0bUM1N8K9w14CEmoCQA0o7AAAmKpUKiinGZIuNAlzGTHaAEKIY4wxC\nSFMEm4YQ6sQYn4HpxVcSAEJKqYzTArGjV2tL4DLQvucDyaoQzQYAMjAwgO6///5FATARQjiKIqLs\nXtc0LQ+1TpBWqHWILHRqM6bsT6vPFTOsJVUsVKD2YLJyH+Xz+W4hBPN9f1oApsBAgDEegXnuslpg\nP2yXy+Wb9+/fv+Kzn/2sl8vlqowxBwCiXC4nv/71r1+J/RXC3LpVSi+88EJZSqkTQurjohtl+RdL\nwDxjagDOzQ4knQWWUuqXiVabV9rjfIvyxBNP4CiKLNWGwtRo3EjN/I6VASNUu4Q6LOKeVRZXpyrH\nSTjnNFnEkvz8mVBis3ceF6dUq1UzDMOvVqvVO6IospMRapwri6IoFUXRzVEUvboYgIByDFJKya/w\n/hBqsqKnDgoJAL7ruqSRopRSQhRFdhAENxJCrOeffx5pmkZs285ijCPOeQUAQiHESc75uxjja9Vn\n5FTkkbw0qCkZakkAEAPXy5WCa6gBahatLioUPTAwgBzHYbFCahPQV1ZfC3noWGov9UJN5z8GB42f\nSdSXUPsvZgUQAOCWlpZlQRCYhUJtMjFjDDKZTJw/dwkhh5uN+72KD52u999//5/rut6WyWQGlUBd\nrMK4aFjMb37zm3LLli0yCQDmW6/mctl+sxZJ2uxgaqwdRAhFcpElDc/HCAwMDOiO41zred4XgiC4\nRwjRgRCaVNKZZYRQBQB8jPGUMuYIarl6W0qpCyE6oCaPS4UQNtT6VbNKPIMo8HBe5b9k+1/yXuOo\nn3OOoyjKlMvlfBRFuLEq1nVd8DwvGwTB1zjnm3ft2jV2pbSz57ouV4nhxLMgsKIILU3TwriSOPm+\nwzDErutaAEDCMARN09KmaX5dSln0PO+NKIqqUsr3KKXDlNI7MMadCCFLOb3k2ppCiBWxQFH9ZCAE\nGGMRxnhKAdIrcs2Un14EFwuCoDWKIkwpBdd15ZkzZ5gQIi+EcIMg4KoFWjZO8JzNuHWMcUQpDRhj\nvqZpAcZYEEKEWrN4IFig/ERcc0IAwBC1pnXZALRisGXC9Kl8CCFkVKtVVCqVAGMMpmlCNpsFy7JC\ny7KGGWOnMMaLhhFACGmlUqlLSeIu6nRtFEVNGfPFBAhmaE2VMzICiUMMSyn1xRQlNLABIXwi0hK+\n/PLLuuM4XywWi/+mXC5/2vf9NtW/GhFC4lnzHACEEgFCtR8psSpwq6tWKZGJuBCJxnm8Zs50tvMP\nki0rQgiktOmbHU7gui7zPK8tiiJbFd3Iq30TqvfDZqtUuZB2rViUODoJCSE8nU47ijGoswNCCPB9\nn0ZRlKOUUs/zgiiKjkspnTAMg9tuu00AgLNv374hAHibMXZrM8VOIQSLoqjDdV0tBoCEEKCUgmEY\nPiHkpBrwddkdQlLSdrFVpisbtIUQGCEE4+PjXb/+9a//ECGE4/fc7OBv/Pv4z8kWNkqpYIyVbds+\na9v2WCqVGmOMBZqmebquu5qmeYQQGefDE0V9knMeCSEsSmmEMZZK7z4AAIkbIpV4v4yNjaVPnToF\nmqYBYwyy2Sy0tbWJ1tbWwVQqtVXTtDOXc1refAYA5xFKmtfr+eefR1EUWZzzvJqcG8+2kYSQKiHk\n7F133TUnMPXCCy/gwcHBpufg1SRiNdvzsfHP9a6Bxgg6YSBSUeWLKkRQw5TEkSNH3Gq1WvV9nxSL\nxfTIyMiqqampfzs+Pv7lqakpIwxDhBCa1mIy0xjQ5IInCnia9qzO1L8aG0SzxYgjslgSM04BNLIG\n8ecGQQBhGFqc8+VSyqu+TkA9M4uiKKcG76AriKIF1HK0XDlumslkirlc7jXLslZUq9XW+J455+B5\nXluhUPh+X1/fEYTQWKlU+lANzQoTh2mEEBoVQozFxYDxtWfPHuw4juF5HiuVSvX9wxiDdDrNTdMs\nIYTcy1U70VhI1QAC9EY24yrfVxwhVBVCcEIIlMtl/dSpU0vL5XLdluLJhMl2siRDlbT3pNSsiuY5\nQmiZECKglAaEEKlSiEJKKQghMv65CZAhpZRCHfhSAYF4353DwsT3VyqVNIxx+/XXX48IIZBOp8OO\njo7B9vb2py3Leo4QUlpsAEBKCZRSYIwtWNQcH/YIITk6Okocx1nled6/DoLgs1EUaQAAjLHAMIwP\nTNN8bGBgYMQ0TV/TtNN33XXXbNQ8Tc75SiGE2YzpXSzF6UlGY9r0wfjfz1OJGSKExpXS06K54vqG\nQ4cOLXn33Xf/V03T0i0tLS8DgB1FkcUYO57NZkEIUY/KGrXKk4dx3LfarH81poymF0fsAAAgAElE\nQVSa9a/Gjkb9vt6/yjmfVf9qEAR53/f1tra2c5y3AiAG53yZoiSv+joBQghSDMpVwfbBJ/nZ1A03\n3HBiZGRkWz6f/8zg4OCXhRBGDARc182NjY3dbVnW821tbb/9yle+ck7kfuutt8p9+/a5UspBAMg5\njhMmmJ5UEAQ3VyqVVKlUqoNP0zQhl8tNWZb1EiFkaqHFhGbhtGRtLpRYTNnAUNf1od7e3oNCiEBK\niQghYBgGDsMQKTAg1WEAlFIspbSjKEpzzm2MMYkLN6Moqts+xpgrhqaMECpzzjnGmABADiHUHtcF\nxYddstI/HhwUBwPJQCP2L3HBaPy9hmH4X/ziF0+bpnk0/hm6rk+kUqltpmk+p2naycs5rnq+ArLY\nD15Ay/9iDv+YuaJQ6/4JpJT+tm3bOMa4gBAqBEHAS6USK5VK3a7rmgihlaZp3pHL5YK2trbT7e3t\nf/Xss88e03X91PkAAUIoHUXRbZzztBACJUFfs0FwV3MwNmOx4PmoDYRQpHLn0WLbgAihzNjY2C17\n9+697v777//wuuuue7m7u1uWSqUnCoVCOYoi3pAGqUfkjWmGK92/evjw4aVRFOnx5ouFbmLHvVic\ndpORpFfyool7Sbe3txvXXnvtftd1/zwIgv8wPDz8BSGEpvr9SalUuuHs2bP/i5TyF88+++ze733v\ne+c4DiFEwDkfdBzndLlcroOFKIq6Pc/76cTERGe1Wo2dPGSzWdne3j6qadpzGOPCZV6HZjlPKoTI\nwRWYCnmx1+rVq+WuXbuOf+lLX/pjjLGeaPtEcb1OMvIPgsB0XfemIAhuj6LoFiGElTy048iSMVYl\nhByhlL5hGMZblNKKECJdrVbvcl33btd1s57nxcxcXRMi/jmx7cc+JHkPic4fEEJgTdPErbfeejqX\ny/2VlPJ0IqgICSFjlNLiYk0JJFnOS/VTCc1/HWqtoTrU6rXaAWAEAI6vW7fOfemll85wzv8yDMO/\nrVQqXaOjoz8bGhq6dWhoaPnY2NjKwcFByGQyKzo7O1csWbLkaE9Pz1/8+te/3vud73ynKRgQQmTC\nMLwtCIJMzCw1O/gXY7caQujc9sFm70BVqS6aTagcLQ3DcNXrr7++IZPJ8I6Ojv9y8803n0yn06uE\nEIUoio6dOXPGGRwclIuhf3VoaOgvq9XqinitGgpvxBVux5uLYyCKXrvSQEBArc3LhVq7XAsArPrC\nF75wsFwuv8c5/88Y4z86c+bM5wFAV3UC+tTU1O2EkJ8jhH7xzDPP7P3+97/vN7IC0DA4aNeuXabj\nOJ+qVCpLR0dHmRACGGNg2zbk8/lKLpd7m1J6rFG1cCGjgmYRTHK4ClpkVV2rV6/2d+3adbTR5hrt\nUKlEYtM0DwLAc6AGqiXfRwIccai1mJYBoKy6XYhlWYellDsawVKjjn3jlLdkis/3/ThYwEIInRDi\nW5blAsBpKaWffIY1a9YsSo2QJDsSD+66lG2l9mYKaqPD01DrzmDqy4BarcgwAHjf+MY3QgA4/fLL\nLyPLso62trYe7e3tvf7kyZN/cvDgwRUnTpxYcvr0aWNycnLF+Ph4X6FQ0JcvX/6LX/7yl3vvueee\nZmCARlGUC4KARlEEyaLiZszAYliXcxgBaCgWbKikRVAbTrQoHMOePXvo1NRUK8a4s1wu//jAgQPX\n3XTTTSOapp21bZsCgIUxNjVNw8uWLYNrr732chrZRfevUkr9GVo8JQCEi4XHjYup1P3Gqm+XfW8h\nhLiUcgQAjgHAdQqgLQEAdscdd3zged6zGONhhNCfDQ8P38E51wEAXNc1Jicnb5dS/pxz/u+ffvrp\n90zTnLrrrruaUrYDAwM0CILPOI7zr0dGRnonJiaQOoygo6Mj7OnpOWBZ1t9SSocuR1pgpoMycVgJ\nhFCgwOWiOnjm0DXDAaAEAKUnnngCzVQvAQBw7733Nv7MCADGdu/ePX6hYuCZ6q4AAAzDaKS4BcYY\nFotuw1wYgSQQuEQQYCtbXQWfdF7Eqb1hADgKANVkG+7XvvY1CQDByy+/fKqlpWXUtu3jLS0tK1Kp\n1J9++OGHdxQKBd1xHKNard7uuu7PP/WpT80IBjjnyHGcuvR4Y5fNYikanJOOQGLz1h3DItl7HUEQ\n3A8Aq/bv3/8ZXdetdDo9kqCk8VVETV/wauxfbVKgEmKMJxdR6gYpStSHWvuUfgXvxQGAQ8q5X6ei\njC5d19277777wJtvvvkmY+zfa5r2b8bHx5d7nrfE930dIWRIKW+Pouh/9zxvYzab3Q4Ak40/fPfu\n3SQIgmWO42woFAqfHR4e1qMoAsMwoK2tTSxdunSwtbV1k6Zp+9etW3dZW8KaHVLqqo+6/Sc0uGvG\n62JGggMAzPNgmX+yc1ziQsF5ENsxFQBYAZ+0aDpQG+5VhNrUztJMflABAu+VV145umTJktOGYfia\npv183759d4yPj+uccyMMw9ullD8nhPziV7/61d677757GhiIogiq1VoZlqZp01LIjQJDl3o99dRT\nRAiRBoC0EEJXLF0ItTqwKYRQ2ASkzokRTAAXSWcxuQ4DgKZQ67xt2IGBgXh+tAa1HtwqAETzQINl\ngiD4CkKotVwuk3iARZMFWjReLtm/2phvVIyAf6liNP39/bFwlKGGZ3AACBQIDNauXSvnwykghLDq\npwf4pN/6ioCyWreXrADAYeVcrlfgeCkAhF/60pfK119//ejHH3/8vw0PDy89derUH1QqlW4lZwuc\nc+p53g2UUqsRCAwMDOAwDLtc1/1RsVj83tDQUHZqagoMw4BsNsuvvfbaMz09Pc+apnlFKsHP0xET\nj3olSUd3qVd/fz8SQuhKLltTLKOQUgYA4GCMvQcffHBRBBv9/f1ECJFW/stMyEJzAKhijKeklN66\ndevkVf4cWAiREkK0JtN1yk6lsv+iOmijDRs2yLnusbgzZiYmapZ+gwJAnwIClvLdRQA4AgAnoJbe\nm9WMhzvvvFMCgPfyyy+/fvPNN/8iDMOfv/XWW3dMTU3pQggDY3y7rus/NwzjF88999zeb3/7236C\nEYBqtQqUUgjDsF73kDhP5KUAgWeffZaFYZgPgiBdKpXSQRDcFobhrUKIpQghEyE0Qin9gDH2EmNs\npL+/3yOEnMUYV+cCCuIC12mMQML4z8lpqf9kRFG0LIqig3AJVelPPPGEKYTojqLICMMQl8vlVs75\njVLKLoTQCMZ4PyFkcvPmzYIQEhJCRjDGlbkWyCgnZuFa/069gp8xRhoQuJhvMHC5+1fV83KMceVi\nQFp/f78mhOgSQtie5xmc82Wc8yVKMMlBCA0TQoYwxqObN2/2McZFjPH4unXrwos0aFDtVPRqiTYV\nGHAVM8CUw5EKDJBsNitvvfXWqu/73unTp//m7Nmz44VCoRIEAVcFZW4+n59QE/sAAOC9997DR48e\n7a1Wq3eXSqVHRkZGlk5OThJd1yGdTod9fX3H+vr6nrBtezNj7OSDDz7Ir8Bzzwg6gyDAQRBoqoXw\nou9tYGAAc85TnPNOz/NMIURvGIY3CiG6AKBVtUueJoQcwhgfe/zxx6sY43GEUHHdunVXVZQ8MDBA\nOOctQohWNSnyVs75Z1VLWYuy8ylCyH5K6QuEkBOPP/54WT1Pdd26dVcNyOnv7zc5592+7+fCMPx8\nGIbfjqJoJedci+2SEMIxxsOEkFcppb8jhIxs3rx5HCE0hTGO1q9fPysDxhiDpmkXLbqjAtA2ALhW\nsQIIACYA4AOopQOCi6mP+trXvua98sorr990001/MTk5+Tfvv//+Csdx0NjYmHH8+PHbW1pa/tQ0\nzX/xD//wD0e/9a1vxToRUK1WwTAMCIIgWRMiEUJJcak5X7t37ybFYnF5qVT6w0ql8mXXdVNBEKTD\nMMzEjAAAhBjjL2uattY0zcC27eF0Ov1fTdN8d9euXacwxtXZMlUJ/ysBAKiqbEUzMQOqR7eiadqc\nDfOZZ57BQRBkfN/vLJVK17uu+9+7rrvE930chiHlnNtCCE1paDuMsVDXdWma5piu65s1TXtz+/bt\nJzHGlQceeEDM9gGDIKhXdcZtgZqmxS0moABNOB8Fdpe7f7URrCkqrDyXMdG7d+/WOed9vu8v8Tzv\nZ67rfsbzPCMMQz2KIoNzzqCWIw4opb6maYGu61XDMH6naVr/448/PogxHl2/fv2cAEGCOkNXQbFg\nIxgoAcD7ADAKNZnYpSplABjjFtM0xcqVK/GKFSsCAPDUYJkQADAhZKliFLDv+ziKos5qtfrtSqXy\n3UKhcG2hUGCMMWhvbw86Ozvfz+fzf2+a5q8YY6cefPDBy57SmYmmVf32klIa6rru67p+UYfXnj17\ncBRFqSAIlvi+/yXXdX/ium6n7/t6EASWOnAYAHBCSEAIcTRN80zTnDBN80lN0156/PHHRwkhZy93\nyqRJAEOjKOrwPK/P9/3vuK57j+M4rb7vp6MosqMoMpW4WDyl8hZN035gGEbVNM3juq4PUErf2rJl\nywmM8RVlCQYGBvQoipa4rnuD67r/g+M413iel/F9vyUIAjMedhTbBKX0OsbYzaZpPmxZ1rhpmr+m\nlD5PCPlwy5YtUxs2bBCzsC3QNK3R/ufiW1MAcAPUCgRDxbx9CABnLjUdeuedd3q/+c1vjn76058+\nevbs2b7BwUHD8zwYGRkxBgcHV7S3t6/o7Ow8DTUp6NrBUa0CQqjeJaLAgISaHP2c6yDiFsjXXnst\nOzg4+DnOeTfGmFJKZRiGIgxDWqlUmOM4iHNOCSEmIaRd0zQwTXNFJpNZ2dLSciyXy/2tbdtvDwwM\nDN5///3BbBiBRIGspJ7nAao1Dk8rdkjkowVCyBOzyCE00hyu615TLpe/VS6X11ar1T7HcXqUM4jn\nR9c/NxblYIyBYRihZVkrMpnMsXQ6vUnX9b07duw49uCDD17w4Ix7/3Vdn9a/ihDCCKGYFYguJdK5\nkv2rjZKoGGOhIqsLrs9TTz1FoijKOo5zc7Va/Z/L5fJyx3G6Xde1oyhCanOjuPUxZjMYY6BpmjAM\nY0U6nf5mKpV63TTNTY8//vhBjPHU+vXr+SwP3MumLnYRYECoNMEJRTsGUOskIIrKNhBCBCGUVxFK\nAJ+IEREhBHVd1xgaGuo8efLkV8rl8ucrlUp7pVIhlmX53d3dZ9va2o6k0+m/1nX9dUJI4UpS4TNV\n1iOEOCGkRAgJLya62bNnDwuCYInjOHdWKpVHyuXyta7rdvm+z1SbHUo40Dj6jPdYZNv2ikwm8xPb\ntt81TfPvtmzZ8j7GuHIlIuonnnhC8zzvpmq1+lClUvma4zi9ruu2+r5PgyBAsYZITBFjjAlCSKeU\ntmiaJm3bXpH+/9l70yA7qzNN8D3rt9w995SUWpGEDQYbY+yqqXK1y2UXYFO2DAi0AKanu2NiKqYj\nqqv/zNJTUT0Vs8REd/VUx0xUT0wZLOWiDYPtctmGsl3s2LgwSEgC7UtmKpXL3e+3n3PmR57v8uXV\nzVSmlBJShU5EBiCEuO89y/u8y/O8mczdmUzmA8uy/jNj7NfDw8PTi70vy7V+8IMfEN/3c41G427H\ncf60Xq/f3mg0Vrqua/i+j8IwbHVsAAAIY2wSQkzOeY9lWWuz2eyGXC53v85k/WL37t2jCKHGzp07\n5ULnjFKaPG9oCaVAArOzOVboiLgMAO8AwMxSAp+FFmPs/MDAwF+uX79+w4ULFzYEQYAajQaMj48P\nrFq16k86OjpOvvTSSydjLQjHcYAxBkEQJCmRQgeXYpH+4xIK5L333pvfuHGjf/Hixe+cPn16slwu\noyAI7vA875FGo7F+ZmamMDk52V0ul1kQBIgxBowxY2ZmZvXMzExfV1fX6r6+vndzudx/2r9//9uP\nPvrofDRICMMQGGNzNC1ovV4HwzCavPc20QLW0eiiX4WjR4/Sw4cPrymVSv9tvV5/0HXdtUEQ8NjJ\nhGEIvu83+bdxvTg+NIwxbhjGqkql0lsoFNbl8/nD6XT6/xgeHv4VIcR77LHH1ELRTtzVGat1JQ/3\nVUb+NwR/tWV0LNLyxgva9v3vf5+EYbiyUqn8Ub1ef7LRaHzK930jDMPmQ+D7Pnie16x/6SgHaVEQ\nwjnvqFQquUwms6ZQKNydzWb3mqb5t8PDw2cWkx2Iwcty1p6XOzMAswyMafhoMiHVJYMcAPRocGDG\n2SWlFAqCANfrdePkyZO3nTp16r+qVCq3O45jKqUmu7u7y6lU6rxt288YhvEepfQsIcT9uClhCwAB\npR+0Jdc733nnHXbixIkN1Wr1jxuNxh86jrPa9/059z7m3cfBQMxM0meMcc77bdvuzefz6zo7Ozdk\ns9n/1zCMn4+MjExs27btumVP9u/fzxuNxidrtdqfuq77Zd/3O6MoovH7GD+onuc1hcaa3osQRClF\nlUrFtixrdTab7e3q6urNZrPPGYbxwtDQ0LEdO3Zcl0zHCy+8gBuNRnej0XjQdd0nwjC8O4qiLEKI\nMMaamgbxnnieN6f2rcXWEGOMVSqVnmq1Wujo6OjL5XL/zDTN5xhjfz84OFjcuXNn2/McB2P6PUGE\nEFs7+MWcf6rvG0tkcqvLBQJ0icB/8cUXT65Zs+bk0aNHV42OjppBEEClUjEmJibWDgwMdFFKz8Ql\n5vgct0wpFQihhv7rYrMccyiQnHPW3d1tdnZ2Xty8efPZw4cPV0+dOnVcCPFaEASFjo6OL3R3d2+/\ncOHCbWfPnu0olUpU91+gWq1m1Gq1dfV6vW/VqlUdXV1d/37fvn1vbt26tR3zAYIgaAVoilYqFchm\ns3E02GzsSERwISFkihASLtZRjo+P96bT6U8HQZAhhNQZY+c0ELCDIEj7vm+6rosajQbU63VwHAeC\nIICWmj5yHIe7rjvgum53Z2dnKpfL/W+mab6iH+l5H7hYrSv595TSeOrXlYKAG4K/GjvTRGlAEkKC\n+TICSil0+vRpeu7cub7p6emvSim/RCntsW3b5Zy7URSRMAzNMAyZ67qIcw6O40CtVgPP85ryrPo7\nhEajQRqNRs513Xt83+/q6OhYY9v2d4aGho7u2LFjUaWCG110Q3+XdaWUk4hiMMzSl1YAwCopJQ6C\nADuOw0ZHR9MXL15MF4vFdL1e5wBQymazFzjneyilbxBCyrqpx7lRRGHaDU9JBAGL7p+J732lUrHO\nnz+/hnP+RULIJs65DQBVzjmKoohFUWSFYch830eO40ClUmmeMSFE6xnDjUYj4zjO57q7u3OdnZ0D\npmmODA8Pn9u+ffs1BQNKKfTGG2+YxWJxfRiG93POcwBQNQxDRVGEgiDAYRhaqVTKCsOQuK4LlUoF\nKpUKOI7TBDexWmmj0UCNRsN0HOfOnp6ers7Ozs2WZf3l4ODgoZ07d15TtdY333yTTE5OFqSUn2aM\nbQYA1zCMU0KIfn3vlZSShGFoBUFgOY5DqtUqFItFqNVqTXCjJx+C4zjgOA5zHGeN7/vdXV1da2zb\nFoyxn+lSwSVnJlZq1O8655yvhNlRzXIR58rQ7y7ArDbHFCyNfr2oRSk939PT85e9vb0bzp07tyEI\nAuQ4DhSLxUKj0fhKNps9qc+miMXikkBAzWqlh5cDz4uhQGKMT2KM65/5zGdCAAhfeOGFGqX0rGma\np2zbfiubzT6Yy+W+efz48TvGx8eNer0eB3DYdd1UGIa/pZT6s56enj9vBwaklNh1XZSYp6EAQNF6\nvQ6UUhQj9DZa+AgAyEKPd6uj7O3tXZlOp5njOG8HQXCsUqnUjx496lQqlbVhGH46DMPbXNftT6VS\necuySLVahUqlAo1Go6mtTymNDUSe51lhGH5eKfU/FAoFb2Rk5M1t27b582xqswai5w0AIQRns9nu\nhD1LfehuGP7qPKIVst3+xPtSKBQGKpXKZsMw+rq6uk4LIaaCICh4nhdMT09L3/dXR1HUm0qlCr7v\n513XNUzTRKVSCWq1GsSz0eOH2vM88DyP+b6/VgjxaHd3t21Z1l8NDQ19sGPHjmgxICBhg7rBAUFz\nG5RSFQ1Cx8rlMj98+HBHuVwuVCoVIYSoU0p/093d/Te5XI4HQVD2PG8sDMMqAMgbaTLkQrVMrSPg\nI4Tk5QBb8t5jjDsNw7hrYGAg39XV9X4YhuccxwknJycrnud1SSk3hGHYF0VRJpvN5nK5XKpareKp\nqSkolUrg+37zfMSRqe/73Pf924UQT3V3d4NlWbuHh4dHt2/fLq8VCKjX69mVK1duMAxjQ2dnpyGE\nOIwQ+gBjbFSr1eDChQuB67pr9BTJfBiGmXw+n6tUKtbMzAyampoCx3EuuS++79MwDFdGUfSHvb29\nnmVZ/9fg4OAHO3fujK6VLadPny4QQu4OgqAHAFwp5UFCCBZCZB3HaUxOTk67rmsJIW4TQtyWzWa7\nOjo68l1dXdnJyUkyMTEB1Wq12XcVv8m+7yPf91NSyrt7enr+1LZtHyH0i6GhoUYrGEgOcSKEMIxx\nWp+Zy0UD8Tsb/76YOrfs9+j3f//3/e9///ujvb29PiGkmRmt1WodjUbjASnlPqWUoJQ6UkohpaTJ\nUrqm2PsIIfnggw8u9PmWTIHUbAABAKXnn3/+PcbYOcMw3jAM43+ilP7W6dOnjRiA6tKOCQBfwBj/\nu56env9+3759v9m6dWuoe0RYpVLpcF2Xxmw6rVCraKPRAMMwkN7gZiqnVXZ3PqTTzlFqx6uy2WxD\nSnm6t7f3tOd5xZMnTxIhRDoMwz7Lsh7yPO8PTdNcZ1lW1jAMUiwWoVqtNqMErcUfo0oDIfQ5Qsi/\nI4T8j3v27Hnn8ccfD+YrDyT5qxhjkkqlVusaU2WJB+qG4q/G+xPbGUcfrbX35L5kMplNmzdv5kKI\nC0qpC0op7HlesVQqnT1+/HhxZmaGKaV6wzD8XBAEX7Us6w7TNHtN06SGYUCxWIRGo9Es5SRqikRK\n2YcQerC7u3sGIfRfhoeHzy9UA01EnvFMdgk3CZUzplQppcJ6vY7DMKwJIcZM06SUUsUY8/v7+8P+\n/n6o1Wpq8+bN8ga2pa36XUJADC8FINu2jQcGBkIhxIRSajIMw6lyuXwOITQ1NTWFlFIpKWW3EOIT\nURR90bbte1Op1IpMJpOenJzEsdOJ7zxjLH7cqFJqHUJoe09PzwxCaN/IyEhpuZvuYnvS6fRthmHc\n3tPTQ6MoGtVRHhJCTFYqlbNKqZmpqSmqlEoJIbqjKLrHsqwv2rZ9dy6X689ms8bo6CgqFotz5pHE\n/TdSyk6M8QM9PT3TlmX9l6GhofM7duwQ18KWgYGBdX19fSuklFhKeT62JQzDqXq9fpoxNjU2NiZ1\n6TcnhNgcRdFvm6b5lXQ6PZDL5dKjo6N4YmKi1Y64dGAghO7s7e19EmM8wRh7T/fOzDlnCUlejBCy\nASCvy6oTSzHrWr4TnHOVz+eBMQae50EUReC6Lm00GjkhBNWTI23Qc1JaBYRaB8O12ZOrpkBu2bIl\nAoCpAwcOvL5ixYo/Rwj9mZTyt06cOGHEPlN/DpNz/mnLsrbncrnx/fv3jz366KNKKZWOougex3Ey\nnHOUlKmnQRA0EVB8ARMNdoAxFoQQF2Msr8RRYownDMOo3nfffREAwIEDB6Y556OGYZwyDONvOefb\nGGNfp5SuorMLisUixBFwsl6FEDI55/cwxv55Npu9uHfv3rPtGq4S5YA4ysAYY66/7DMAUFxMc92N\nyF+NByPFBy85OnW+fSGEcMuyEMxKpZ4HgEo2m53o6emp3n777dHIyAhSSp1mjL1vGMZLhmF8lXP+\nGOd8I+c8wxjDU1NTzYc6uS9KKUwI6WOMbaGUnsUY79uzZ09pPt0Brf2OCSGWTvU5cJOtRB39phWC\nWQDYS4SQD5dXFpxz7wkhiBAyByAXCoXq+vXrIwCA4eFhJKU8pZQ6JKX8Gef8U5zzLYyx3zMMY5Vp\nmnR0dBSmp6ebjiZx9ymldKNhGP+cEHIaIfSKvnvLuZr2MMYoYwxJKetBEIwzxoqEkAu5XK66Zs2a\nCABgZGQECSFOUEoPcc5/yjn/Xc75I4ZhfNqyrMLZs2fJ+Pj4JbNHYJZl0sc530IIOYsQ2jc8PFxa\nLB1vKbZQStdRSrF+ExvVanUKIVQyTfNcoVAor169uhm8DA4OYkrpScbY24yxtxhjX6OU/m4qlVpl\nWRY9derUnAa5RJN3yjTN32KMfQ1jfGFwcHA8bh6MM7NSyiSFUOpS6pXoh1wzIThCCKRSKTAMA8rl\nckyjbUpBY4yREIIkQXQiOxtomrU/z51aVgrkI4884j333HNv9ff3/y9hGP6F4zifPXPmDA/D2apJ\npVKBCxcu5LLZ7JcNw/iZbdtF/c7moij6Hdd1s5ZlgWmaKu4ToDryRrHRnHOglM5Rg6KUzpd6XrKj\n1CnSEAAu7t27t0gImSGETGKMd2CMNwDMfiYhRHMTAAAcx4l1wrOWZX3RMIyXMMZTMDtKtjUboBBC\nIeecJZroFMxST8YhQQdZAATccPxVwzDAMAxgjDXBUTtKTuu+CCFQrVYLgiA4V6vVTk5OTjrFYjGq\n1+sCAEBHVwEAFIeHhyuEkAuEkHcZYzsopV8hhPTpGQFQLpcvGSCiOfLrLct6ihDyPsb4V62RQfLC\nKaUQxthSSjUQQg7cZCOu/ymsyzh5qcePLwkgR1F06siRIxOjo6NhvV6XURQZw8PDGCEU6jMWAkBl\naGioSgiZoJR+SCl9n1K6nVJ6O6XUlFKi6enpJvvH933AGMP09DSzLOsOy7L+G0LI2ZGRkWPLxSRo\nZ4+UslosFkfffffdqu/7U67rhmEYspGREQAAkbwzQ0NDFYzxBCHkCKX0MULIA5TS1Qghev78+WZN\nOXEHiG3b623bfooQ8j5CaN77shy2AEBlZmZm4uWXX+4MgqCOMUZSSmtwcBB0410EAOHOnTsbQ0ND\nLsZ4mhBykFJ6kFL6BKX0dgDgJ0+enNMY6TgOlMtlNDU11Wvb9hZCyFEAeCe+hgIAACAASURBVLGl\nXwDFfQJKKannqHjaXnWZDED82VSiR4dfAxDYbJ6L/V4SvMU/yV6W5A9CKEQIzRBCogXKZ8tKgXz4\n4Ye9AwcO/Lq/v///azQaqyqVysD09DQAALiuC+VymVy8eHFTR0fHv+acf7hv377jUkpLCLHe930r\nnqDLOVdSytmhQ7oJppn6NQxjjqOJf5bbUT722GPhvn37TiCEdiOEHITQfy2lvE0IwYQQUCwWmyg0\nDENwXRdKpRJOpVJr0+n0v+CcH9qzZ8+xxx9/XCY3VErpY4zPGYaxEgCshLNclNb/jcpfBYBmai7Z\n6NVSyrlkX+r1uvPaa6/RcrlMoyhKa+2GiBBS2r17N2CMUTx3XfcbTHPOX9MNbhcRQo8BwIAQgkRR\nBPGc91hhr1argWEYLJvNbrAs68uEkGMwy8efzwHFFKKbOqq+Wddl5F6VzgrMN5Ng3nt/8ODB8rvv\nvrtWSmnp8kJR02kru3fvRhjjeJiRrymvxxFCuwkhJzHG/wIh9NtKqVwYhqhYLDbBgOu6gDGGqakp\nK5fL3WWa5mcppWM6w3W130VbezzPO/L666+LYrGY1hNDuZ4SehFj7OzevZtoOqnUd6mMEPqVFkI7\nixB6Wil1WxAEbHx8vGlLfJenp6dZLpfbYJrmgvdlOWwBgEMffvhho1qtprQz3RCX5RBCPsbYI4RU\nd+/eLQAgwhh7em+G9FTUf71u3bo7hRD8xIkTTWATBAE0Gg0oFos0n8+vMwzjmxjjUaXUPwKApxlH\nTTqyEEIppTydDaCXy7oppXwdWPbDR1TCCT2USV6LO9HaQBtnlRFCTX0aSumc8cqEkAghVJnHL1wz\nCiQhpJ5Op99asWLFB6tXr+4ulUpmzApwHAemp6d5qVRal81m1xNCzmlQxoMgQMmJmRhjhbXjRHH9\nJ+lo5usPmMdRXgCA9wBgVDdOLCrK27p1q+Ccn7dte386nf5ONps9n8vlRC6XA9u2m04uaWClUjHq\n9fqGMAxv06pLc5YQwiGEHKeUum0es8WklubbvLHl0vRP8FdHOecqvlTj4+MDFy9e/JMwDFe99NJL\nKMlfjcFaMj0XH+KYntNuX4QQ71Sr1V9hjI+YpnnBNM1pSmlJ04bynud1eZ7X6ft+NgiCbiFEHmMc\nUko/ME3zmVQqtS+TyUx2dHTIzs5OME2zSaFKPgjlcrnguu79Qoi+4eFhPF/vxq318WcD5snwgVJK\n6hSn/PrXv66Wcu9PnjzZQAhNpFKpD1Kp1EHDMM5gjCtSyoLneRsdx/mk4zh3eZ63LgzDfqWUSQiZ\n5py/mEql/iKTyfysp6enMTAwAKZpNs9XPN63VquhUqnU6/v+HwkhukdGRtBVPv7z2lMqlc6Xy+VJ\nwzBOpdPp06lU6phhGOcQQo4QwvZ9f8B13U2u667zPG91FEV5jHGEMT5pGMbedDr9Nx0dHafWrVsX\n5XK5Jk0vfsfq9TqUy+WC53n3Syn7BgcH8bWyBQBGz58/X6SU/iqVSv06nU4ftizrKOf8OMa4JKXs\n9n3/867r/o7jOF/wPG+TUooSQi5yzv/Otu2/SqfTH6xduzbs6+tr+oMWW1K+798nhLhbKWXFH4sQ\nEkgplZZ5Rzq6l7A4PQEJH2l1UJ399ZYbBMRnPz5rcXBFKQXTNBXGWMUMNE1vb2bOdZAZYIxHdUmt\ndV0zCuSWLVskpfRkLpf7D6tWrRotFAoqLt0GQQC1Wg1mZma6Xdd9WCnVlbSzVRCJxjr8yUvXoqHc\nDgwsK8rZunWr2Ldv35hpmi8IIVaHYbgjCIIOx3HA8zxwXXfOJdK0w0KhUPg9wzB+nUwV6ccsRAhN\nI4TC2Bb9+dMaKV8ukrhZ+KtzZpvPty9SymIYhsgwjCjZZLV3714kpSxrZUklhMh4nvd5APDT6fRb\nO3bsqA4NDZ00TXNISrlGCPGg7/uZGJTEGhBx1FatVmmj0ehLpVKbpZQnoUWSukVQKDl98Nb6mDID\nbbIEWDfm4h//+MfogQceUIu99/v372dKqQhjXH/88cdDgOaMgUhKWRZC4CiKjCiK1gRBcBdj7Iht\n28e2bdvWGBwcPKiU+q4QYuWKFSvuqVar/PTp002QG4OBSqViO47zScuy+gkh5+Hq6GTz2vOrX/0K\n6Q7s6uOPPz4H/O/du1dKKf0oiogQwgjDcEMURZ2EkPefeOKJxuDg4Bjn/LlUKpXt6ur6l6tXr+5r\nNBoovi9x2bNSqVDXdftSqdRGpdQl92W5bEm8W5fMtNizZ09DKVWWUhpCCBaG4YooigYIIee//e1v\ne4ODgzOc85ds2+6WUv7x6tWrV5fLZZzMUGpbsOd5ecuy1kkpraGhoTIhxDMM4wwAbCaEmPq9cmBp\nfUFJwBDANaAPxqCm0WiA7/tNoJxKpfxUKnVeB7ZmFEWxSm2zl05nBjyM8RmEkNcGnF1TCuTDDz/s\n79mz52RXV9fJ/v7+VRMTE2bcI6f3Je04zmfT6XQBY6xif5hgGSillKKMsebowfg3tDToXZIyuRaO\ncuvWrWLPnj1nTdMcsW37Pt/378nlcizuVo8/V/wgNBqNnO/7v2vb9t/s3bv3YlJkSErJlFIdSikW\nd0VqG7sAoBsApudLSd8s/NXk/iTq9W33pbu7O5qnNKOStcmRkZEKALyhywMNAIAdO3ZEQ0NDx0zT\n/E4YhptyudynarUardfrkHzY4myN4zhZrYT4WjsgoDM8SkoZ6HrfLSDwMWUEWtgCTd100H09bbJp\nC957KWVEKZ2TItXCSb7+gf3792MhhCOEOAuzw4ZCHYE5nPNXlVL/KQzDP1u5cuWm6elpUqlUmmAg\nDENwHAc5jpPP5XK3M8be16njK76C89nz3HPPIUppDWMs2tybSNeuYd++fY4Q4rAQAhNCPACAnTt3\nisHBwXHO+Y9t276vv78/Pzk5aV24cKEZkcUBjeM4KT1z5ZWrBAJX9CZrkFMHgPrevXsRY6wihDiN\nEKppW+Tg4OBFwzD+VghxZ09Pz5b+/v7siRMnmkGI7/vx3Tdyudx6pVS3UmqSMdbIZDJndZnY1On+\nq3Hm14w5EIYhzMzMNGmSnHPo7u4eT6VSf40xvoAxXhtFEdi2DaZpNsGADqSlzgqoNiDmmlMgpZTn\n0+n0X/b09GwwDGOD67qIEBKfMex5XkZK2YMQKsZZgFYlYaq7BlEyskymnBN6xNfcUT7++OPh8PDw\nh5ZlHfA8b00qlepLp9PQaDTmNG5oMECCIMhop9/6xTBtONNdqyKKopL+jHEUGi6AQG9I/qoQgrZu\nYPzPn/jEJ+bdl/379+MwDLl2AMF80rZauW2m9dcxxj5j7D3Lsp73fX9lPp/vKZfLTQGVpDqZ67rZ\nMAy/YJpmbmhoaCLJK0YIIYxxrEvBYbbvonEtUn231uXBQLtfQwhFCKEiQii6//771VIAMkIIU0pN\npZTct2+f224+iBZUarQ6ve3bt6uRkZEK5/xNy7J+VigU+np7ewvVajV5r2Onk46i6B4p5U+uFAhc\nzh5dksNSSmvPnj0Bxlhs3bpVtQlgZDsHjjEOGWMfWJY1kk6nN/f19a2dnJxE8fsaZwVc102HYXgP\n5zw7NDQ0vdQJf4vdm8HBQS6lTGvxMaEb3ESS3aMDAxdamvE0sDnHOf+eZVn3rlix4vYLFy6QRqPR\n9Bf67ltRFH1CKbVaKXU8nU57QRCcAwA/dp5KqRvurv/85z83JiYmVl24cMGQUgJjDHK5HPT39zum\naZ7CGLvx+YuBAGOsqczXwiC47kBm+/bt/vDw8Gg+n/ez2SzU63VINtx7nkellB0IoWqyyXvOGGJK\nKURRhJL/olVqOK6PXA9HSSmtcM5/YRjGNtM0uy3LIjG3M5m10KlpqpTK6DGgUWuaU4sJgZRS+r4/\nrSPQLACklFLBIh3QDcdfbS3bKKUgm83Ouy9KKe667joACHU61R8aGsIIIa4frSDZcNkGIKiRkZFp\nzvlPTdPcYtt2ZzqdJqVSCZIIUx88GkVRp5QyrwFXc180xSyZ7vNhmbqlb62llQTmaQSMB6i003a4\n7L0XQtie592DEKoSQj4AAFezBriOmsKF5MG3bdumhoeHLxqG8X3TNL/c1dWVO3fuHI4FreKMmO/7\nthDidgCwR0ZG0BVqCixoj1KKBEHQJYTIE0IuYIzLu3btQjrFzRFCHkLIn48mu337djU0NFSllP7a\nNM1jPT09/blczpyZmWlmX/R9MYUQ65VSHTDLtBLLbcuBAwdwvV7v9H3/XkLIOEKoijGexhjLXbt2\nZQghIUKojhByF2BiuJTS9wzDeDWfz6/s6urK1+v1ZiCi9wULISxdUkHpdDp0HKcspRRKqXgyn1qi\nXcmM4TWhDwZBsGpqaurfTExMrEIIIdM0YeXKlV5vb+8ZzrmT1GmJKYYxHTJJ315k/9M1sYFSqlKp\nlMrlcjA6OjqHthpFEZdSdhNCxqSUqAX4zyoLxpz0ZJqwnfToAjOHltVRbt26VQwPD1/gnL9pGMY6\ny7IKhmE0swLJrIUQgumRuTx2OBoAhLpbOeScA8ZY+b5f1emzTg0Gykv4WDcMf7U1movrVAvti874\nCMbYdJyKDYKASSlXwOxwkYldu3Y1Bz/p7zJMPnLbtm0Tu3fvHuWcv2Ga5tpUKlWIwUuSXqMzBARm\nezFwm6gTtY7AvLVuqBXP07hc89ol914/9D6ldEx3fIPv+0wIsUJ3kE8ODg5KhBDVpQeBEHJbWD8B\npfQ05/xYLpdbk8lkbN/359z7KIqYlLJbKcWWsfl0jj2UUokQKlJKy4QQHyGkhBDcdd31UsrbKKWH\nMcbnd+/erTDGXOtjNJLjk3fs2CF37949wRh7ybKsuzo7O/tnZmbm2BKGIZJSxiUydC1seeSRR+Su\nXbsqjLGjnPMZKaWnG8Tv9H3/QUrpGCHkbULI2WeffZZijG2McQ1jXInFwXbu3Kl27949TSn9B8Mw\n7u/s7MyfP3++6RsSDcsEAGylFFmzZo1z7NixUSFE2OLclwQEpJREp93T+q1ftuDhF7/4hVEsFjec\nPn16Q6VSMXRJIFq/fv37uVzuPzLGRh944AH14osvNoFATDNMDrVr9ZuJfbguFEhCSGQYRi2dTgsA\noHFgltgfDACoHQUSIaT0ePi5m9PqcBZx2a7IUc7XKUsIKXHOX+Scl0zTVIZhLNTljFuBCyEkwhgX\npZRRIrsRd54GsLDO9UKbd01StFfBX72cohXWjj7EGE8ahlF/4oknJABAOp0OGWPjGOMLSinT9/31\nruuuazQaGxqNxp1RFNlt0p0lxtiLhmGUbNtWhmE096Gl7hTXheVio9Fb6/qWBdqBx3gAiU4bL8bD\nzrn3uh5dMgyj/tRTT0kAgFwuFxJCSkKItBCix/f9tY7j3OU4zmccx/milDLbmhXAGFcZY++YplnP\n5/NznI3+e6SUInrg1nKDIJQ8q4QQ94knnoh27typMplMaJrmFMzSH0OllBUEQY/runfU6/XfCcOw\nc2RkBLfcmRpj7Nec81oul1NJp5Es710jQIcSb6qLMT7LOS8/+eSTbjab9dLp9Cgh5EOtZVCKomiV\n7/tfrtVq/53rut+QUuZabHEJIR9SSuvZbFbF44XbsYEQQtDT0yPDMKwKIcQV3nkhhKjpAJDALBui\nR4ONq14vv/wy9jxv4/j4+L89efLkKiklyufzsHHjxumBgYF9tm0f/PrXv+7H9mgdm6aoWwwEEpNg\nW7+D+B2saJ8SN3TaSxnit8g77VFKT3DO3daePkKIwBjXEEJCSqkSTY4fZTTi6V+JVMEcR9Pm8V4W\nRzk0NISDIDD27duH5zHqLKXUi2sxrV+6PpgCITSnIUY/FAFCaDwIAj+RzYjTZzElZT7lu+u2ecnv\ndin81dbDhxCCarU67748/PDDEUJoTvfzo48+Kp988knv6aefdizLqqRSqVOWZZ2mlPqu694fRVFn\nGyDgEULOMsa8OD2WnB2QuAwq8Tla/4xbFMIbBAy0ZpfiCZ1KKdYG2C/m3gcIoYu6IQwAAL71rW9J\nQkjFNM3jqVRqLJVKnclkMgcZYxXXdR8SQnS10gARQg4h5Cil1MlkMpeAFk3nEguJHi0yap7Xni1b\ntkiEkB8D59gWzvm0YRiv27Y9btt2LZVKTaZSqYtSytVBEGzU2ZSkLREhZJoxVk+n0zJ2nsn7oO/M\n1UhtX3ZvduzYob797W+HcZ/Dt771LUkpneac/8KyrIOpVGo8nU6fzOfzb3DODwdBcI9SKjc8PIyS\nGQ6McZ1SOmFZVmDbdvP9SrxFAmabDwUAQBRFQnemQ7ug83JAgBAyRgg5r5s2DQBYCQDZK3mLddCI\ndU8FBEGQLRaLX/zggw8+MTMzY2SzWdiwYYO/adOmw4VC4UXDMEqtexWDgOQbPE9DfbyuFwUSKaXM\nZCYvBvyGYQQY43EA8OMeiJZmR0XjOno7EJD8STz4yyL0sGPHDvnMM8/47RqKtm7dqnbv3h3Gqerk\nQxB/Fj2hMMQYT+vJT0kY6SOExqIoCgghV3K5biT+KlqAv9pMAx49elR94hOfuKJ90U2CEQDA888/\nX3Nd9yK0aabctm2b2rVrV4AxjmJQknzM9L4oSmmgFQNlGyCgbmUEboD8/6XRSzKbE7Y6pcXc+61b\nt0bDw8PV1n6TJ598UkILZezAgQONer2upJTtJmj7GOMxSqlvmqYihMyJ/CmlIcZ4Gq6iQXkx9nz7\n299u9zYJmEvDi1544YVio9E4BbN9PHNQy/bt29Xu3bsbhJAznPPbDcOwYyEufdcVxjjQ34+8VrbM\nE26HhmFMYYyl7t0In3/++VHDMN6MomgVAIhW6WOMcYMQcogxdo9lWUZ8jvSEQoUxDhBC9USwpZJg\n4QrsqmOMj2lgU9BAQADAcaVUuQVAqdZMlgYMBGbZFFn9941Dhw6FR48e/cyxY8eePHPmTK9pmmj1\n6tX+nXfe+VZ/f/9fmKb54QMPPCBa/U481K7VPy40yAuuDwXSlFKuDsPQiO9KnMEwTTPAGE/GATPn\nvKlQSwhRTSCg61tNZzNP9L3sjvLpp5+WC0UsrU4j+VkMw1CMsUjXvFsPa0ApnZRSBjHIuZL7BTco\nfzWR1pGEEJ8Qot/vq98XHfWPtnJik+lfXT+MEEKsDWIOCSHT+rNfArAQQm4iUrmVGvgYMwKtUYwu\nQ2GYHa2NrwQgL3YyoOZen0UIea0Ndzt27Ii++93vVjHGIuZrx3eDMQaGYbiEkBMIIfcqNfqXC/B7\nGOPj+rsM24B9qbOcMgbPepY8cM5D/Uh7VwmQF7Rl7969SCu2EoyxnJ2jJC4B5Vu2bJGDg4MzGONj\ncbd8K0hDCF3QDn9O8GIYRkgImQSAum4OVT/84Q9Dfe9jH0L0/afQ0kw833ujlJoEgLMw2yNgwKxy\nYg5m1RjLOoPrAkCoJYxjcMA1eMjp/64HALjnebWJiYn0qVOn/uT48eN3Y4zxpk2bZjZv3vzeypUr\n/8K27be+9rWveW38UTOjOR/rZpHZm2V/95RSJAzDlOM4RN8v4JxDNpsVtm3XMMY+QogopUDPGYDE\n3VJUa/mjeDOTqfjWR+M6O0qlEYxK1gJ1JgBs2w4452MYYz8JUhIAIpRSqssgtaWk3m4Y/moCqEmE\nkIMxFi1jo694X4IgCBFCE4SQcDGp5da0mWmaDqX0A4yx0/pI60awyTAMUxq53AICH3NpoOlFEqO7\nYeFGwSWfr8HBQUQIYTpVGT766KMqiqIaY+zXGOP5xL1kHN0lH2F9xvx2Ai5X+lVcyX0ZHh7GMejR\nmccx/U6Gbb5rBNAswzbt4ZyDZVl1Sul7CKHGMgwemtcWKSX1PK9XSmlqOfe6/n4RpTQaHBwUcQY2\nCAKXMfYqQqgdNRPDrHw0SjbL6X1xCSFHMMZNBVYhhMAYy4RGBYNZLZcuAOCavXU5uwMAOKVBwwqY\n7RXo1X9OPLfA1UAo0N+Bpz9rj84mKABAQRCYJ0+evOfw4cNfPXPmzKcZY+iOO+54f+3atT/u7u5+\nzrKs9x988EFvPuCcLMcm376PO8sppQTP81CtVmuWli3Lgo6OjrJpmj/HGJcAoBMhNIcCqfdwFghQ\nSlGMIBJ1gya9QA/xua6OUimFpJQklj9ODEAC0zQhlUoVOecvYoxLSX5vkvoohADTNCFuarvR1jLw\nVxVCSMbKgwvty7PPPovbpTqTa2hoiARBQAzDOEspna+rlQBABgBoXM6IMxS2bUM6na4TQv4RY1xv\nc5kCSumUEGK1RvEKLt+dfmstPwhQrUIziewAgll1wcW8bHPu/b59+7DruowQEsYT6DTYJUEQ5DUQ\nKA0ODirf95lpmkcJIY0F3oA5M090AACWZbmEkBOw/MNnLnnHBgcHcdIWAIBnnnkG+75vPPvssz7G\nWDmOYyKEbEppZR4qIwYAS48DbtqSSqXAtu2Gbta7IjGhn/70p7i3t9c8fvw43rBhA0oEPXNskVJi\nAECpVGoSIeQppYQQAoVhmA2CoAs+mg1jIYQyjLHT80TrCAAMpdQcW9LpNNi27WGMz2gnrBJnTWkh\ntLiXIR5DjBd7XpVSdQA4BrP6CJ+C2cFKMTvJ0H8eSnzfMvGDAUCEYWicOnVq1euvv/7g5OTk6lwu\nd37jxo2n+/v7/89MJvM+Y2zm/vvvD+c7i1cYUF5zCuQPfvADXqvVeqvVKq/X600f2dnZKTs7O8c4\n5z/AGBdjIBCz1HSJeXYkZryZGtHNqUFjjJXWz77uj1XcHRwrisUOh1IK6XRaptPpiXaoNZkBSMxn\nvuE2T0ffS+avtoyJlgDgEkIEY2ze/8+BAwewUspo7WhuU6YwHce5PQiCtjMckgAtpjkm0oKQyWSE\nbduTlNKjukdgzoqiKFBKzei6JdcPAl+k07m1lm8JrRwXtckSYK0Vj3/6058uaV8IIUwI0UUpnXMY\nDcMQhmGUGWPl2ZaXKO04zm/7vn+fUirVLtpWShlKKRwEQdy9D6ZpQi6XE5ZlzWCMz+na+jVbBw4c\nwEEQGMPDw/S5555DcYqdMUZM0ww454oQQsIwXOs4zhYhRN+ePXvazdjASikzDEOsA6+kLVOEkA/n\nScNfdmGMDUrp6iiKOoMgWKibPt5XhTEOtm3bFunPj0zTvGjb9hTnvAQAOdd1twRB8GmllNHGFkMp\ntSoMQ+77PlBKwbZtyOfzwDnHSilbSpnTUxCbAWVcVxdCzADASZgVLpOLnUmjAUUIs6qwB3WGoKZL\nILFAlQMf6TAkp84KAJCVSkUeOXKkOwxDd9WqVd+/++67/9XGjRv/uKOj47WHHnpoYj4Q0AYsXxKN\nL8KXxDoPMQVyObMBvY7jfHt6errPcRykzxasWLGi1tHR8UvG2PnHHnssjH2obdutvWaz1DvDMJBt\n25c4mtiI+LG/Xo5y//79WGtfY8/zmlx1SimkUikoFArVdDr9BqX0QsxzbZfGSY7+XGKnepO/eq02\n7xe/+IXRaDQuy1+Nf38LiosBj0sIOZXP571vfOMbar59eeSRRyTG2E+KhTz33HN4165d1q5du5oP\nVzqd9jjnFd/3/0AIcQlrYM+ePVhKaUgpse/7TSDAGINMJgMdHR0V0zR/gTE+izFuF01EAFDUvOK4\nlnnNNBpurXlBtsQYezpaaqUJowU6she895qmOh0EQfNB/d73vofDMDSllNHOnTuDJ554QuXz+bpp\nmqO+7/++lLJzz549rftv6SmkluM4gBACwzAgm81CPp+v6smYo8swAGxBex555BHJOQ9932dBECAN\nlnkQBD2EELp9+3Zl27bI5/OhUmpNGIa9rc2CGtSkhRB9rutyKSUYhgG5XK5pC8b43JXaopTyJycn\nz1mWVWxhJLTSBxUAKNd1M77v8z179iApZc7zvN9SShnbtm3zLMtyCoXCKOd8NAiCTymlsm3+f6ko\niu7SiohNWzKZjEQIubr5sxFnnOJSrXaWKgiCaR3Vp+EKuv918DMDAL8BgLcA4NeJn3+E2em3ZwDg\nBMxOiz0Es4OX3uWcv9LR0fFXAwMD/2r9+vX/vqen5w3btk/ef//9iyoxJfsDkiJCrQJ8raAbZps4\nY1XbZaVA/vCHP6RBEKwql8ufmZiYSCmlIJ1OQ19fX7hixYqjtm1/V/dtzKFAJjP/GOPZWQO2bSPL\nspqOJlGDVgghQQhRLVF1EuUALLPQgxAiFUXR3WEYpuNhHZxzsG0bOjs7RWdn53nDMH6i6x6XrNhZ\nXgVnXQghavEgH4xxvHnucgweevnll7HjOEvmr8Z0kGTpRikF9Xr9svsS87oT2QgjDMOVhJCxOMWK\nEJKUUk87A9QGedpSytuFEHatVkNhGDYjgs7Oziifz59jjP2MEFKcJ0UaAUAl8R0uZgLZrbX8K6b5\nhTrNO6esFjuRNuB5wXu/ZcsWqUs+zeX7vhGG4UrG2FgilS8JITUAmFFKRa3NglLKjBDiC0EQZGu1\nGorT6F1dXSKTyUxQSt/WYjfLUVNf8B3buXNntHv3bhmD6DAMiZQyq5QqaZvVgQMHahjjU/rBb+1a\nt4QQm8IwzNVqNaSbgaGrq0tms9lJSunbhJDKlUgLAwB89atflQDg6Ogdz2cLYyywbfucnl5K9P2W\nAODHsr8PP/yw2r9/v6OUGiWEpKClX2JwcJCEYZgVQmTq9TrWiqbQ09Mj0+n0RcbY33POXyKEzOzY\nsUPqvVSMsVioDCGEKMz2CRCYrd0v+f5rMFDXA4xa9xPrAEMlSgMAACqbzaovfelL8pVXXkFf/OIX\nl/x9tzaeJ9kDCwSbAmanQE4AwAB8RIEsKaUqS21MTQAnpUWuOuv1+kMTExP9pVIJ27YNvb29ct26\ndWc7Ozt3McaObN26NYiBDAA0swGJz62wrrldUhZI1GakVsC6bihHCNEfBMEO3/d7arUaKKXANE3I\n5/Oqq6trOp1O/4hS+q6Oai4pKSQ3Ki59LPUj3Oj81YRNwnEctdR9BllhrgAAIABJREFUUUr5hJAx\nzrmfeLSR7/sNfZmLbYBAIQiCr/q+X6hUKoAQihtSZE9Pz7ht29+jlL7Xbl/0eQoopWOWZbmLTQne\nWsu/9ICUsaTTTjwKJJbtbvOwLfneK6V8xtgYY6z5/3Ich3meh2Onkfz9IyMjSAjRFYbh79Tr9azr\numBZFnR1danu7u4p27b/llL6OsbYWY6nZjH2JLUEMMaeHq/cPOONRqNOCHmbMXaxNVBQSmWEEF/w\nfT9brVaRaZrQ09Ojurq6ZgzD+Bml9K3rYYuaXQIhFCCEvCeffFIihGqc83/EGDf279+P9N4IhNC4\nYRivYoyrLbbkoij6ou/7uXq9jizLgr6+PtnZ2TllWdaLnPPnWu8/QkgxxmRLD0rcyCiv8hzLlp94\nhoKrWRiBnp0R6X8nAQCuBATEQGCBcz5vSUOXL44DQEnvzUqYHRfdqdUxSauPaOM/mFLKhtnmx34A\nyL3zzjspz/PunJ6efuD8+fN5KSX09/fLDRs2XFyxYsXfmab5IiGkmvQjcXY/Lv3H7zDNZDJg2zZq\nTTsnkI9sY+g1QzkHDhwwGo3GhiAI1larVe66bgwCoK+vz+3q6nrLMIx9lNKJ+XSxkyWBK+novFH5\nq3FDYCI1FWKMi0qpaKn7ojue59QlH3/8cblr164SpbRGCAmS+7Jnzx7i+/5AGIb31Gq1VL1ej0GA\n6u/vLxcKhZ8ZhvE9QsjkfJGaUspjjJ1ECJVvDRr6WJePELowTwaPKqXyUko6DxBY8Hy1Nte1O2d6\nSuFYZ2fn6Jo1a7zZXuTZ+yOltKSUm8Iw7C6VSgQAoKurC/r7+xuZTOYtxtjzhJDxHTt2iGVynkt6\nxzQoaNozNDSEhRDIMIzzmzZt8u677z702GOPAUJIDQ8P0yAI1gRB8HuVSiUbRRH09PSo/v7+SiaT\neYNz/jwhZOx62KLvbwFjXHrqqadCHXCBEAIppQwpZTQ4OIiFEJwxNtXf31/6yle+Irdt24YQQmpo\naIhEUbQuDMOH6/V6VxiG0Nvbq/r6+qqpVOp1xthzlNK3CCHVnTt3quT7a5omxMPfCCFpndq/qeaM\ntMsuJ0sDl/Eny06BdF23NjU1lZqenv43586du71er9P+/v7otttuG1u9evWLmUzmO4yxc4888sgl\nTcFJCmvs73A2mwXTNFErWyC+s5r3LVr4/NcE5TiOUwCAtZ7n7Ww0Gr3FYhFhjKFQKEB/f7/X29v7\nq1Qq9R8450e2b98eLfDFz1FOwxiDECLZQUovl5LSyD7evDCxefcCwF0AsBZmqSwFAMgopSzdSMOV\nUmn9fWzW38lnAOBez/PumZiY+PKpU6f+5yR/9e677359YGDgzy/HX221K7FHajn2ZdeuXTiTyZhd\nXV3pL33pS6kk+jRNc2UYho8GQbCqVCoRjDF0dHTAypUr3Z6enl+ZpvldSunJnTt3zrsv3/jGNyTG\nOFRK0Wuh0nhrLRroRgihGR09td7LOF2OlhrdHDt2zDJNs/O1117jC937DRs2WIVCYXVPT8/GgYGB\nlQCQU0rRkZERLKVcGYbho/V6vbtWq6HOzk5YuXKl19HR8b5hGHsopUcJIcEyfQ8L2jM2Nmb85Cc/\nSR8+fJjOZ086nbYQQrdzzu/t7u5eE98XpRQVQnQGQfANx3HWlMtlmsvl1KpVq2odHR2vm6a5m1L6\nznzZs+W2Zd26daZhGOm+vj4W22KaprAsq8IYc5RSyrIsWyl1nxDiW5zzeyuVykCLLQ96nrehWq2y\nTCajVq5c6WSz2SOMsR8SQn6JECq3MiyaNejZVLTCGMelmPmGW92odwba3JWlBJkxBfI9ABjX96sX\nAO4AgM9qv3IvANwHAJ8DgC9ov/EpALhH+5xNAFAQQhQmJiY+NzY29m/HxsY+XyqVzO7ubv+Tn/zk\nu+vWrfvP+Xz+P3LOjzzyyCNhqw1x83xLgKxoKpUCzjlqzQa0Gt5GiWzZUY7v+74Q4jbP8z4/MzOT\nCoIACoWC7O3tLff29v46nU7/r5zzt3fs2OEv9I3HdsT6/QAAnue5ukbdCwC2fuzEIjfvhuGvtkgR\nY6WUhRAiy7Evp0+fzpw+ffqzrut+MgiCg/q/5Y7j1BBCHZ7n/f7MzEyuVqtBZ2enWrFiRaOrq+s3\nlmX9NWPsNxhjfzHZHyHELabAx7tCjPGMziSpVqc/35TLy52vvr6+yszMTKqvr+98GIbTjLGg3b2/\n7bbb+uv1+m+Pj4/ftWrVqtdyudxxADhq23Y4MzPzBdd17y2VSrZlWaqvr8/t7Ow8ZFnW/8MY+zkh\npLoMvQGLsiedTlczmUzasqxzYRhOtbMnCILOo0eP9n744Yf3h2F4KIqiKUrpdKVSOQ4AG4Ig+Gq1\nWs0zxmR/f3+lo6PjN6Zp7qKUvowxLl9pb8BSbbn99turURSlu7u77bGxsWI+n3cee+yxeB4IAgDL\n87zODz74wDx06NDvzszM3Oe67t/ncrmTk5OTJ6WUmz3P+6NardZBKVXd3d21bDb7Hud8P6X0NUJI\nSStIXvJ+JUbfSvhIUMiDm6g/qN1AvpYs14KZgeWiQAoh+NTUVP7dd9/dND4+fnutVqM9PT3jK1eu\nPNLd3f2/W5b1LqW0/K1vfattE33Sl2tQoJRSisZpm1bnHzcNKaUsKSWZx8hlc5RRFBkTExMrq9Xq\nN0ql0oDjOLirqyvs7u4+3dHR8VPLsnZzzg9t377du9yGJRsh4jG5vu8HutmvX3/hXCm14HCVG5m/\nmqi30TYarVe0L6tXr6aEkLVHjhz5jBYUKgkh+MTExG2lUunztVptTbVaJYVCIert7b2Yz+ffsCxr\nN6X0VYxxbTEPtAYzt0DADRDktHvILvfgLXS+UqlUzx133AGe5/Urpab177vk3hcKhcz69ev5O++8\n0yuEKCilVrmue7FarWY8z3u8VqutpJTK1atXT+dyuUOmaT7LGHsJY9xsQlvm1dYe0zT7BwYGLELI\nCinlpJQyBgIIIeRijBHnvGfFihWrzp8/31MsFjetWLECLMuyTpw4wRqNxpZGo7EOIQQrVqwYy2az\nrxqG8Ryl9FVCSLE1er6WtmQymZ4777wTzczMrNdB0aTrur6UElNKG4wxME2ze/369d2VSmV6cnJy\nvRCiMwzD8MyZM9zzvAd8319HCEE9PT2TqVTqbc75IKX0FYTQDCygEJgIYlQCEC5mwuUNs5L3IyHH\n3RYsXCZrE+q7cVDvVS98pPkQNzvG380cCqQQAiYmJvjbb7+99sSJE/eGYVhbtWrVsc7Ozr2ZTOZl\nxtjxhx9+2FtoH9plCBBCiupMQFMlql0kOp+Ry4lyLly4UDh48ODd5XJ5QxAEqLu7e7yrq+tkKpX6\nDuf8ZUrp2Pbt2y+bEnRdF2OMUaIkEPNXReKwksQXra7l5kEb/mo+nx9Op9OjnPPRxVBX2vFX9a8R\npVS6tbnpSvcFY6xs26aFQmHaMIxQSskmJyez77333u2lUum3PM+zC4VCsVAonEun099jjL3AGDuF\nEHIWG9nEEcKt9bGuCCFUhPZyuAtmBBY6XxhjnE6nlWmaiFLancR/yXuPMca2bTc6OjouGIbhRlE0\n9tZbb1mNRmOL53l3EUK83t7eY7Zt/4Ax9g+U0ncJIeVrBALmtYcxBr29vR4AAGOsSymFPM/jAIAt\ny/Li+00IUel0eiafz1cxxuHZs2e9w4cP3+f7/j8jhEQdHR1HLMv6HmPsR5TS44SQ2vW2BWOMM5mM\nMgzDh1kmVH+5XE77vm9ks9kapbShlJJCCMYYc7u7u89RSv3Tp0+HR44c+d0gCP6QECJyudxRzvlL\nlNKfEUJ+SQgpJpsp2znQODsrZ6cPhS3vJJ7HgaqPs6G4tTtfj7+GeE5E8q60c7KX2SOplIopkHn9\nLifp3xkA6ND309U+R05MTNhvvvnmZy9evLjatu1jXV1d+1Kp1BFK6TghpPrNb35TLMKudj5dUd0X\ngFo1/fU/x40x4jJdkVfsKKWUamZmBh06dCg/NTXVRQgZ6+vrK9m2vY9z/iql9AzGuDZfY2ByvfDC\nC7xUKvUSQlgsQrIASkNLvGBXtHkAIDjnfkdHxxuUUmIYRp1SOgkA4R/8wR8s6qC3UiHjf9aZmqzW\nO7jqfRFCIACQmzZt+jCVSjmTk5P83Xff7RwfH78DAPxCofCuZVkvc85/Til9jxAyuWPHjmiJ3yN8\nHAJVt9ZH65vf/Gb0zDPPVJOlsVZa1OWaoOY7X7pLfMF7L6UUqVTKufPOO1/lnJ958803y6dOnfqc\nEOIuzvlZy7Le5Zz/mBDyLiFkhhDiL2c5YLH2IIR6OefN+4IQwpZlCQBgiQdTWZbVWLdu3YfZbHZm\nfHy89stf/nKgXq/fQyk9YZrmjyilvyKEvE0IuYgxDpezHLCUvcEYK9M0FcxSQ0k+nxdKKa7HtkMU\nRch1XVIoFKYIIWfOnz9fPXLkyG2NRuMuSukJwzB+pKmb/4gxnsYYOwuBgNjZxEPVoiiSURTVdWm2\nrN/NdJtgTAFADBoiuL59BEhnLPL63DpKKe8f/uEfjDAMURAEc0SSkndnKQHOUimQZ86cwQcPHrSk\nlOe7u7t/zhgLCSGTGGP3oYcekov1Iy2ZgOZnp/oXUSuyaX0ELmfklThKKaWamJgw33///b7p6eko\nlUq9ls1mL+rZ2VMIoeq2bduW0lFbCILgDzDGBQCYMzNhOUbfftz81WTaVpdzaEz1+tGPfoS+9rWv\nqavZF4yxZ9u2EELA6dOn00ePHt00PT1NGWMvmqZ5RM8uv0gIqSCEvCt9nNWtOcQf+8IYz2nUugwX\nelnvPSFEUkrB8zz51ltvGRcvXvyUlLKDc/5DQshhQsh5Qsg0xti71gBgqfZgjC+xR2tp0DNnztBD\nhw7d7jiOzRj7KWPskBY+qmCM3WuVBbgSWxBChHM+xxZCSGhZFq1Wq+lTp051jo+PbwiCwOac/1T3\nAI3CLEXRbdUlWWwUmigTEQCImyuhDRBQMKsUWIPryy7AMNtPtVp/Rg9my6ZrXnnlFe553hwaN6U0\n4pxXGGPRQvTCy/iU1iXaZet+9KMfRblcrgoAF5VSkBScu5K9iMsCCCFFk1FmsiM9KTc6D6f4qh3l\nwYMH6fHjx3OEkFOGYShCSBxJq0cfffRKjMwFQfA7AJBBCCHO+UJzoq8WECxq85LrGvBXMQCkhBBk\nIaC22H3BGMsTJ07gU6dO5Uul0kal1CnDMF4hhFS1FrrbTslxqRkBHXHGjUMEbq2PbcV3I9nslCwP\nXCuA/Oqrr5oTExNrfd9fhTG+aBjGG4SQslalC683ALgae44cOUKPHj3a43levxDinG3br91sttRq\nNXXkyBEyPT1tTU1NbQzDMA0Apy3Lep8QMqnvf5ikBi72fMVvUxAExtTUVIdSqqqU6sIYr5gvG40Q\nwmi2zuElmlrnZD0wxoJSGlBKAz2SXuqJrCLJkZ+nZIFinf02i8Ns/xqG2aZ2MAxjZRRFhpSyOZzP\nMAwwTbNomuaPCSHF+++//5ru89e+9rWr1V2YU8qYUxrQm4BaI4NW1sBSnOliHeX+/fsF57yIMY4e\nfvjh5fgSqZQyTwhBsSxpa6d9C+q8KR7q+Zo8YgomtFeBW/K+fPe738VSSgNjXDJN8z3GmAQA59FH\nH13WSEZPSwwQQnG/wq11dWdkqQqNavfu3W0bA+f7++W8988880zck3ImnU6P6ZHWjccee+yGah5Z\ngj2CEHLRMIyiDqicm82WZ599luoZAYRS+qFt2yf1qOH6ErOybd8wjDHMzMz0/93f/d2/FEKE+tdQ\n/Fa3MtTI7GL6nKgkjVrrqkjGWNW27XHLsi5mMplJxljAGHMNw3AMw/CSjr7lXKMoihilNEyOuk+C\nEAAgGoxghBCdmZnpLJVKNJ1Og2makM1moVAo+Pl8/pBt2z9qFYG7UX3JfL6QasPRPM0OTR2Ba/HB\ndNQfLuNhhyiKUEJDuSmSxBgjLRfgpuCwzjMC+pKMzXI04D311FPy+eef99tJxS7veWx2D1MNBGgs\nc3qTLZRIYy71LF11M5QGABQATFhaB3ZkGAZpnVjZyhq4VhWcp59+Wj733HPeww8//E+ia/Tpp59W\n+r74N6sNpmkKhFBZ15HDK8nIzvN+CaVUnVIqGo2GMTY2trZWq4GeRticEpuUTo/BQLKWHf9afCY1\n7S1CCK2XUvoYY49SGk/VFFJKGY9VTgroJHrikM4qqHZvbGLqZSy3zgGgc+3atYgxFqXT6WIulztU\nKBT+Ip1OH3nooYeim2Gf29xppZQCmnhQ2jkcBQCRlqe8KQ607/tzmjfig8QYix9MgNlJVeHNIHO7\n0MPcrnv1apcGAdfDJgKzFNK1MNswJG6ytzPmQzdgtla8lO9NgG5CmsfuxQALBLOqlZ0wqyRHF/nf\nAADUcrmc4XnenAxgPLTmSjqhl7r+qYCAfypLz3tY9lo8IaTc39//Y8uyQAiRyWaz4LouBEEAQRA0\nHW5S2j5ZptLqh8mGQ4gl7+Px9Hr4Wez0kZSSK6U6CCE5ACDJUlfMJIt/4nPewq0HIUQMPIKBgYHx\nzZs3NxhjJ3RwWTEM4yepVOpvU6nUkW9+85vezbDHWt2xHVhTtDUaaGlKkwghH65SE/p6riAIgHPe\n3OQYReLZnSaJh1hpisiSIrMrSMMu6o9teaibv/7SSy/NqdkmEbLW1w5gtsP2Ztki5fu+kFIKmG3I\n4TCrhHazOYa4vurpn6V8fgmzKnBVmMu/js9WAxbgZcNHkxtzANAFs/oQcpGfAUkp64Zh+OVyuZmW\n5ZzHpTRJCPF0o9ktD3lrXdWilM5s3LjxrxFCe/X7iyilGGNMdA+A8n0/CsNQxlmC+CfZX9AipNZs\n2Es68DAMIQgCHARBTxAEXw2C4PeiKMoIIZqgI/6z4zk0MQiI/V4MQuLfwzkf37hx4/9tmuapeI4E\nxjiilBbXrFlTueeee6Ir8SPXKYhMDqFSP/7xj5H2IbGIlNS+Q9KPvtu26WcUy8HeDI9CvIFJKcVY\nXbDl83MdhUbwEU1lMRFpPDug3ehcArNp7qU2v0X64U86gqbDoJTSKIogCIJ2WQCilLIv1yx4o22T\n67qiWCyOr169ehIhVNWO9GbyOnE0noUrKzFRmO2WXjHPv6tfBgjE5y0Ds9Re6XnehOM4jfgcSCmx\n67pcKYVSqZSXyWQ8hBAEQUDHx8fxhQsX7ioWiykAQIQQSP//7L15lFzXeR/43e3ttXT1hsZGAuBO\nUSJpWqK2SLJHskWKEgmQBNANgtLE9swknkzmOBmPHc/4KJOJEyfOdiY+Tjy2RKG70dhBQns4Ei3J\nJCVT4iIJJEjsQKPRS1XX8urt9975o+8rvi5WNbYGRdq459RpoLqr3rvv3vstv+/7fp/jQLFYBF3X\n00Y0jY0bN16zBK6NKxqf+tSnEgCY/v73vz+zdu1aNDQ0ZBNC1iCECrAQEoyklKeTJCkLIbgQIu05\nIYMgEAAAhw8fFu1yvhNSmvmpAcDPAeBLKSLQ/rfdnN/UAMn8LtJ1fZJzHqgMewAA+PSnP01goQzS\nUDIgkVJGGYNcvk1yqF1npLoJq/srKlnVzOfzpppnTf1NyjnRpEoRonaLK1VEaY7Au0XRpIQP2fpV\nZd0JpewxAKxQQjR9r3kRgjcV0nYXZZ+S9VxqkTxXniFq+ywGAOjv77fS+tVMmCM1eDgAeKpD4rvD\njcYY5ubmzMOHD/fPzs4epZSGF4o7XQynd/uB7rCX3+JZtP/dpRi7GGOuWkOjS42bUUopYwzruu6o\nxKT03iQASErpYJY2ust8eRiGtTiOwyiKxLlz54qe513HOU+Nez1JkrVSSp1SeljTtGMAEAshipzz\n9/3kJz95OEmSoRQRoJSC4ziQy+VmTNMcwxjPXFNj18ZyjY9+9KMpAluCBX59K+OA9hBCzsObnAEJ\nAIhcLlcFgORjH/uYBwu5ZBd7zjgAzNXr9fLl3GuSJDKKopbSHxwcbEdssVKwt8JCVUFaQRKoew8z\nc7maBkHqkKTOKVZObmocaEonEQAIVqxYwQzDwABwOA33Syk9IcQpKqVspoKAMbZIYBNCQoTQFEIo\n+sxnPvOu8A6SJMkS7rQUQRiGsfK0VqtFzC/zIkm49FgxwJt84EkHw4Lm8/lcEASk0Wi0YCzTNFPh\n3aSUvoIQaj788MPvGu9tcnJyRRzHfxBFkaf6XEPGk13U1SstN8z2jUh/l+WIEEK8hUAqjfO1GwLZ\nWFmWWKPdmMjGz7MkO4SQRZ9PvzP7M0s2kv1cSg2d/lT3hyBDr4AXBkoTqbL3kWE2kwrik6rbpial\n1FRyE3DOcZIkupQSaZrmq9JcKaUkcRzbJ06c6L3uuutYalgWi0VYtWpVWCqVTui6Pokxjq+pr2tj\nudFAWOAFmIKFcJahlFgO3mQ6TQ0BDAtdCiW82V75Yq8RwwJ/y+V62N4FrkcUone7UrSpcZAqZKmM\ngsYlGjBXggp0RJThzbbUhq7rg/l8nvb09Hy/XC67nHMppYyEEGUqhDjOGAPbtqWmaYmKOUuMcazr\n+jFN054mhFTfNTtN9RrIen9RFOm1Wu2673//++d6enpcxpiuenNLjDGllJpK8nYtn1TfJ4QQHgAE\nlNJQ07RI07SQECIwxjFjzCOExIQQuQRigVVZXjvKkLUeESyELgY450az2YRms9lCA3RdB0IIaJpW\np5T+sL1v+Dt9MMa0c+fOrW00GiiKolbcLlXQWWrobJinXbFnFTLnvLXuqUGRZiNn38t+Z6qw01hj\n9r00g5kQ0rq/1CBI32u/v6zBkk14ajcSUoMjvb+s8ZNNXNI0raX4s8+nvRFVHMfpZ1LDovXdmdin\nVGgEBEGQfOQjHynDAokUEEISy7LCnp6e0/l8/o8opWeXqZz32rg2sqibkFLWAeCnSr7Z6sUzSixV\nqBTezH0ZaPPIL2QIXC4bIb5IQwDBmyEBppw5Bm82s2PKEDgFy1gV1833Vc8vFX4pAVManqApQhGG\nISKENPP5/Lfm5+ebYRhKtSY+5Zy/YBhGVCqVzui6PoUQmoWFfuVlSunfGIbxPYSQ927YaKlnmc0+\nRQhBpVJZ/dJLL/3bOI5DKSVqb+ublk+mXlhWyGbqV6VKUEkwxnOU0mMY45OMsdMYYx8AGgihOkKo\nSQgRWaKWto2mI4RCRX7RunZWYSGEwDTNJJ/PN2ZnZ3tOnDhBVWZsq8zGMAxpGEaVMfYKpbT5LpIH\noeu6xxBCEAQBCsOwFb5hjC0yBLLrmlW+WQWbKsgkSYAxBso7br2XGgdZrz418HRdb31nmo2c5pmk\n65Eq6qwRQghZhDyl+yW9XnbNs0hFdl7p/WSNn9SQaP9cer103mmiVPr36c/2BNl2AyL9/D333FO+\n9dZbn1Iel8AYVwkhZzRNqzPGzj7yyCPBNbV1bVwlYyCRUjYUOtve7wVl4G6qYHecgbcvxhDI0lpf\nqmedxtQvxtgIYKGd8Iy61xQJIMpICABgUhkVV8uoTis9EjVnru4nvWZqpPBmsymOHDkiGo3GyZmZ\nmZ9OT09zSilKkkQSQgT9+te//v2NGzfOlUqlP7Nt+4QikUi5ql0A6JNSlvbt29dJsS3yxLu914nN\n6GK7OLV/tlu8WEoJvu9vCIJAl1KG6b1SSkHVr25YxvrVGADu5pwHGOOAECIy9at8qfpVVb0gLlS/\nmiqKyclJfWZmZrWmaSjN7jYMA2zb9g3DOMIYKyu62HfLOLt169bfQQjpneD4bDinHZ5v3xvt+2mp\nPdkeArjQ37fvt6XyFNooO9/yu3Ze7/Z7b//+LhU8He/1Ak3BOn4OIRQrIyD1VhLVQlosV/34tXFt\nLIUMqH/yLrokyni3cAlKPYsoXE51lwELlTjxJXryCBaaAsnXXnttiHNuxHGcBEEQJUnCO8mKTv+/\nyM6fi/5eCIEBQFOOEk6SZEAIkRIwoTRUKITQwzB8D2OsfOjQIZpBEBZg6Vwud4/neQNnzpz5h6Zp\nhu08xEsp7W4JVp0yM7sJzqWMirZSuQsmdEkp9Xq9vgZjfIwxFq1YseK44zjAOQfTNKFYLEIURS1j\nIIVKU4WdZowqIwELIVAcx606ViGEiKJIpqUlCpKVGGNMCDGllCUpZZ4QQtppWlMPNfUu0zktUb8K\nxWIRarUamKaJUs9Q0zSwLAts267ouv5tQsj8uwnG3bRpU7hv375jnda5vSFRJ4Ogm4LvZCRerCHQ\nRVl23JfZ9eq0R7vt52zDj04Ku90AWmqeF2OILzUHhBC8m3JKro2/c4aCbDMULikZWjmCl1Pi3YA3\n8xIu6Xw888wz2uTk5D3z8/P/rNlsrsmG8LL6q13/dTq33ZzfpRzrdhmRlaMpCy3n3JmdnT2qadrd\n7Y4nLRQKD9VqNf2NN95Yn42tX0jBt09uKVay9i5NSzU26uaxdUro6lA2ArVaDQEA5HK5mV/91V/9\nt1JKu1qtztVqNS+1lLLXSZV8tnZVPTQTIYQzAlVgjH2EkEgh+hRyTZJEj6JoQ5Ik90ZR9OEkSXIp\n4UUcx62QRQrvtsd50/sAgFalAyFELxQKqxuNhp4+G4wxGIYBhmEAY8wlhLyIMXbfbQf9Wvz52ria\nQ2WnI1ioepK7d+/GQghbCDEgpXwLpXWb8SnSOmvluab/F6rdN1b8HWkFklDXJOq6QimyFn2vlBKl\n1SUIoVid+fSz6d8mCCGurolhgTWUK/SGb968+Rd2ZiYmJrCSWfLNx4RSaLpVQ/+LvMcOhsTl3stl\noas7d+7sr9frvzk1NfWhcrmcS/N2lnIALlQG2ckxuJDx0K6Xs9/HOYdarcaLxeKDbdeVtLe39+Oc\nc5iZmUFpTHKpUsFOUGknSKM9q7qTYu9W19kOj14M2pBeT9d1QAhBqVSyb7/9dhsAdCnl0Wq1evxH\nP/oRb79mWimR9RhT+t6sVal+L9LU7rb7xABwBCH0AwD4c1DhRDe5AAAgAElEQVTlhZ3IMLotfmok\nZAgvNjQajT/RNG2DlBKlxgMhBBhjoGmaoJT677KwwLVxbVxtI4DAQga6AwCVZ599Njh58mSP7/u/\n5vv+45zzIcj05mjz2CRCKEIIBVJKCgA+xthVVLYhAJhSShMh5COEfCklU++DlNJWvwuVUm9gjOek\nlBzeLCuOEUIVZSzooMrNVHOiOkKoob7XVJ9pIoSmEUL1L33pS6Ld8VoqZNUtDHUhVLbD/7Hv+6b6\njK/eS/8fpoYVQsh/4oknRDd90X7fGOOQUnp2y5Yt7xpa5j179ugAsFpKqWf3jWI3XB+G4T31et2Z\nm5tD2ZyubmGBpVhju4X+uqGZ3fRru6Mdx3F/qVT6RPvnaL1ev5EQArVarSOTU7sH3q7Yl+pY1g0C\n6QZzZH/XKV7aaeIIIVi5cmXrPU3TUkuMwELjCI4QkqVS6VLbNvJL/NsmADS/+c1vnm8vKbtAOAMA\nFjLE07BBGnZoNBphapxlofPs69q4Nq6N1llCSoGuh4Uy4Z/W6/WK7/u/Njs7+48rlcodQRBoWdmR\nVVLqPKUeOkYI8bRdc5unLjDGQiUepzwsWEqZogWgGimlcWakvOgWIpBBE1r8+ISQRL2HEUJEIQJR\nKsM6KZN2yHmpMFQnT7OTwmmDpLP8JiKDZkDmXkE9h7e0te50DyrX6azjOP9q586dz23duvXdYgys\n/sY3vvEnc3Nza+65556zhmFEACCVvNYBIOzp6XmtWCxCGlJOk3Szsj2bp5ZlO8yyHmbZDbPfka1s\nyvwOqz2IVN8ZIoQgCqVK36OKHJBJKddIKQnnnCZJghBCQH/zN3/z1ZRHILUaskq900SyN5m9qSz/\nc/ogstSN2VeWwamd9jH7b/XCQggkhECccyKlpJxzTQhhRlGUcxyHpJvMtu00k5rDm9zZEbxNzHXL\n1Ypy9+7dslOMPJvY2A1yujaujb+L47vf/a5BCNkwODh4s2EYg/Pz80mtVpO+7/9WuVx+z/nz53XP\n8zqhf9mzhFLlphyJrt52u0OTdVjaW4e3X6/L92bPfCubfimF3knpL5VX1Wb0dPUmOzksaSJ1O0dG\ntgKrC9KyCLnFGEMul9sAC3TD//Pu3bvfePTRR98N4UJdCLHhve99r37XXXeN9vf3z4Rh6Luu68dx\nzFOkqVuS7oXykrqFCDo52Zn30qoKrAwCW0qZVy8HFtgb0/eKQog+KaUupcxxzotxHBMpJdB169Y9\n2g7Vd9v8nW422+AnSRJoL4VrhyYuZvJtDwkrKCo70SIArOScb/A876Pf/va3bwXVzjZDMpOleuTw\n7qKwbcV0LuQFXBvXxrWxMBqNxurnnnvuXx47duwWXddZHMch5xz5vr+y2WwaKU13yvWQRR/b0bus\nvGvnomhvlNMpYas9Ppz93izxVdYTp5SiNsWOst/ZrkA6GTMX8sivxIG40HctpTdSAyI1BOI4NnK5\n3JpcLpdTyuxdwY6KMUaFQiFeu3Zt8z3veY8NAOUwDI8988wzQbckvouB/C9kNHQyMDL/xhkjhMBC\nRQBJdaYyaIkKd7EM4kTThoOUMXb4QnBRt9+3Ky3GWCuJrlPp1UVM6C0HKmMMpP8hysrRhBCmruvf\nIoT8BwDYoKA6qSh33/UJaVnD6WKy06+Na+Pv8pBS6i+++OK6NWvWrHrve987r+irQ875ifQMZasz\nsmhle0iyW55UHMfg+37akAY0TVtSTmYR1ovx/LJ8D9l7S/kx2gmr4jjuGmNuv3Y27Js6bllZk62a\nyt5H1vjJfj4rl7I8F5xziONYbzabq5vNpr5u3bpFaHPKiyGEkBl+/mUZu3fvTp1FS+WLpIiwhxAK\ntmzZckXXUhwuyLKsogrZENM0xX333feL1DdZIyqlOO44Dh06hDrpXfrZz3723aAwO020CQDzY2Nj\nPenE1SFMAKCi4m3vaiOgXRh1ghav1CjYt28fEULkhRA9nHM97TuR8WwSlchUQwgF75TM4E5j7969\nREqZF0L0CCH0NMky85xijHEVIVRFCCXv8LlgKaXNOe+TUhoqLNZaF0JIrOZRRQglqo3sO3Ls2bOH\nSCl7hBAlFatsdziESpSrAoC/devWyxbWlFJx2223nf7IRz6yH2P87OnTp08q2LajUd3t3528s6yD\nkz0j7SRX3RycpWisu3mOS3neWUbKbg7cUiW13TzRpe6pW9lsu0ElpVxdq9X+9xdeeOGD8/Pzevba\nbXlO4kpznfbs2aMJIVYkSWL7vm9xzm/nnN8shCiqPI8pjPHrhJDjO3bs8DDGNZW0GQ8PD1/SuVEJ\ngEh53ol6vWsSth944IGO86V/GxyBtv+HGONJSmn8TmsLebmIQLeDfrkH6MCBA1gI4SRJMuj7fjGK\nog/HcfzJOI5XJUlC0+sSQiSltMYYe5Yx9j1K6Ynx8fFpjPH8li1b3hFQXnYuYRi25hJF0SrOOc0I\na0kprTDG/j9K6fcopdPj4+OzCKH5rVu3viPmsn//fiKEKHDO+8IwtKMouiOO401xHF8XxzHNtE2V\njLHWXAgh0+Pj47PvpHXZv38/EkLYSZKsCIKgN0mST4Zh+Ok4jgupQZMRrB5j7AXG2PcIIa+Ojo7O\nYIznhoeHL4meVUoJpmnWV61adXLNmjXHS6XS0euvv/6NH/zgB8nFKNtuWfgXU0rdSWG3Q8XtHBRZ\n4/5CJDIXygu6HIegGyrbLUeg0310i4ULIY4ZhgG33Xbb//P8889vUCWUreeQZW29zHOPhBB2HMcr\nfN9f7fv+F4IguCMIAiOKIjtJEotzTpQciwghnqZpgWmaddM0/4ox9k1K6dGxsbHzIyMj8aU8M5XL\nkSr/t6vT4FUd73pDoN1rppQGhJATuq5fdZrUQ4cOGUmSDHDObSHEog6OGGOBEHIxxhWMsf/ggw/K\ny5nbxSSYXOIBMuM4Xuf7/geazeZjnuetCIKgEIZhT5IkepIki7xoSmnCGLvFMIxNlmXN2Lb9dV3X\nvzE6OnqCEFL9RSrRAwcO6HEcbwiC4C1zieN40VxUS+qEMXaLaZrbbNueM03zG5qmfX1sbOwYxrh+\nJZ7olY59+/bpQRDcHIbhJ4MgeND3/VIQBE4Yhn1RFBnt68IYSzRNu0XX9W2WZc1ZlvUNXde/PjY2\n9gbG2P1FzmX//v16HMfXh2F4l+d5v+G67qowDHvCMCzFcUyzhF4K3RCapt1oGManbdsuW5b1fV3X\nd4+Ojh4lhFQuZY9pmlbv7+//qW3bHsZYFgoF+W5pmPa3bARPPvnkWcZY2MmAuFDi5AXOCgvDcGUY\nhh9oNpu/5bruGs/zhnzft6MoQnEcozZeGEAISU3TgDHGbdu+IZ/P35fL5Z41TfMro6OjryGEqiMj\nI/wiZHJa5XFVx1e/+lUkhLCEEANCCCPVL+q5CYSQixCqIIQuS7f8QgyBp556SuOcr+Scm5xz1F6+\ngzHmGOMqAJQ3btx4RZC+yg9wVeyJw0ISIYXLY5rqKujCMBwsl8u3RlG0LY7j25Mk0bKCmhASUEpf\n1nX9q7quH92zZ08NY3x+06ZN0cVanlnPqf0ALZUo1GUNcBRFxUajca/ruv9rs9m8yXXdFVEUsTAM\nURzHraqP7HURQoxS2ssYKxmGsSafz68rFAr32ba91zTNr4+Pjx8bHh6O3k4Jc+jQIRJFUcF13Ttd\n1/1d13VvaTabK4IgYFEUoZQ9MtOCOvVAGCFkgDHWb1nW9blcbn2hUPg1x3HGNE37ztjY2ImRkZG3\ney4ojmPb87x7arXa77uu+x7f9/uiKKJJkkAYhigMw0UVOerMMELIgKZp/aZpXu84zvpisfjJXC73\nJV3XfzA2Nnbq7Z6L2mN5z/PubjQav+u67k2+7w/5vq9FUbRoHtnQF0KIYIyLmqYVDMNYk8vl1hWL\nxQ/ncrmnDMP46tjY2KsjIyPhxZ5/wzBcSum7pjX339bRjsi2VxJcDoqxd+9erdls3uR53j/wff8T\nQRCsC8NQUwYARFEEvu9DFEUQRVE2TwIpDhaqaVpvpVIpFgqFNX19fe8rFAq7NU372tjY2PGl0AHV\n/RNlW4cvK7QtJXruuefI1NSUU6/XS77v3xWG4bYwDNdl0U1KaaDr+suGYXxV07Tju3fvdimlZzdu\n3HjZZZhX1RDYv38/jaJIL5fLN3me978FQXBr6hGkSSOMMTAMw9V1/bumaR7atWvXLCFkmhDiPvTQ\nQxf0alKBktlUEcZ4Jo7jKiwQi6yDhQ5Xy2II7Ny5EzcajRXNZnM4CIJfiaLo9jAM+4MgIOnGS2Nf\njLEbdV3/hGVZddu2X7Zt+y937dp1lFI6s2nTpvhChkC2SU4n+siLPUwHDx7Enuf1+b7/Kc/z/qcw\nDO8SQhiUUpTd5KniTAV2lgGREII0TWOu6w7W6/VSqVRa2dPTc5dt2386Pj7+4+Hh4belFvjgwYMo\nSZLeWq32gO/7/30YhndzznVCCMqSQ6XJT2EYQhRFi7oKUkpRo9Fg9Xp9sF6vl3p7e1cVCoUP27b9\np6Ojoz/etm3b2zKXp556Cnme53ied6/v+78bhuGHhBBmtuVyWonTbV0opYgxxmq12qDruj2lUmll\nqVR6zrKsPx0bG/vJxSrQKx2vvfYafeONN0pBEPyq67r/QxAE90gpLbVvFq1LFEUQBEFLUGfQJ0Qp\nJY1Go1Sv1/OlUmlNb2/vhx3H+dejo6MvEEKaW7duXdL7IYTElmXVCSHXDIF3wOiGWnaiFF9qPPnk\nk9j3fbvRaKyLoujBJEk+TghZaZpmwhiTSZIQy7JIHMc4CALwPA9c14VarQZBELQQKHX+QdM00mw2\nC81m8+6BgYHB3t7eWyzL+i+jo6M/3bZtW9RtLnJhiGV8PilxHQUAg1LKKpXK++I4vjeKoruDILjO\ndd1B13V7gyCgqj+O0DTtRtM0P+E4jl8oFM7k8/l/t3v37uOU0jOXYxBcNUPgiSeewJ7nOVEUrY2i\n6AMK4qBBEFiNRqO/2WxaYRgihBDous4Nw9iQy+UeKhQKU8VicYdt28/v27fv2KZNm8IloGFcrVZ1\nIQTObKyIEDLlOE6sHvDltqTsumCHDx+OXnnllecajYaXJMl0HMe3BkFgN5vNQr1e76vVajSKIoIQ\nymualtN1Xdq2vb5QKNxVLBafy+VyX9q9e/fLhJCgG92ulLLlObVXYagYFb+YHIjDhw/jY8eOFQHg\nLoTQXYwxjDGe0TTN0nUdkiTBSZJYURQZpmki3/chbXvcbDYhCALIWKLgeR54nseCIFgThuFn+/v7\nV+bz+X8+Njb23NVUOqpqBL/66quFc+fOvcfzvJuEEAxjXFbteoUQQkuSxIyiyI6iiKh7hXq9Ds1m\ns2UQpCVcvu+D7/ssCILrgiDo7e/vX5nL5a76XNLhuq4eBMF1SZLcBQAGIaRCKbUopYau6zRJEmKa\nJrZtG3zfh0ajAfV6HTzPa80ljbdqmga+72u+768LgqB/YGBgQM3lhas1l3RNAEA/c+bMkGma7wnD\n8H2ccyylnCaEME3TkGEYWpIkZpIkRhRFNAgC5Lou1Ot1aDQaEARBa59TSsH3ffA8j/q+vyIMw48P\nDg46uVzu32ua9vT4+HijW4KXMpgkYyxZjsqatFKp/Zw9+eSTmHOeS5KkP0kSrT15UFVOCUppA2M8\n89BDD8XvEKXccT5f+9rXMOc8rTV3pJQEYyxhId+qjDFu3H///Zel/NqdmU6GwcUYA41Gw4yi6HbO\n+fsBYEDX9dcxxscxxgwhlA/DkMZxbCRJYidJYsdxbIVhaNXrdTw7Owuzs7Pg+37LGCCEQBiG6flf\nyzl/cGBgwLIs649HR0cPb9u2rRsynVBK61eSjJ49N7DQ5EhXTmvf+973vlnO+eEzZ84cjeN4X5Ik\nxSAIPtlsNj9drVb7Z2ZmVs/PzxthGOYppTnVd2Z9b2/vhoGBgWM9PT3/eu/evT++WEf6qhkCWYVZ\nqVTI6dOnz508efJQEATPKE7+G4Ig2FStVu+YmZkZmp2dLc7OzlJCSJ9pmr2O46zr6enZsGLFitd6\ne3v/1Z49e14mhFQ3btzYycI3Oec3JElipmWLGOOEMVZzHCflAofLNQS6Ldgtt9zSv3bt2srPfvaz\nvWfPnn0yjmMzSZJcEAR/r9lsPjQ/P79qdnZ2qFKpaPV6HVFKkWmauVqtdluj0Vjb19d3U6lU+jem\naT67b9+++qZNm0S30ECXygGOMa6rn0ve/8zMTEEIcXMURRbG+EySJF/lnNtBEPS6rstnZmY83/dv\njON4QxzHvaZplkzT1EzTBMYY1Go1aDaboGBqoJRCFEUQxzGK4zgnpfwgAPwfuVzunykPNLpKAsyJ\n43ioUCisAIBbenp66lLKbyZJkg+CoD41NXW20Wj0c87XJ0lyZxRF/aZpFm3btg3DwNVqFarVKjSb\nzZZ3kMKHcRyjJEmyc/m9sbGxFy8liehSx9e+9jXm+76jFP+UEGIfQmiIc76u0Wj0h2GYF0KYQgg9\nSRLNtm3Htm3HcRxSqVSgWq2C67oQhiEghLJzwVEU5YUQH0II/VPHcf7F+Pj4y5eaeHexawIAg0mS\nFAzDuLG3t/c627aFEOLlZrP5/Ozs7GnP8yIp5QrO+Y2c87Wc81VhGJYcx8nncjlSqVSgXC5Do9Fo\noTepkFYIiME5/+WhoaHfyefzLmPs+wDgX6oHerkeGgBEUsowkxwGlUpFT5Lk/UEQ/EYQBDdFUcSy\n7a81TQNd1wPDMH5smub4xMTEOU3Tpgghzc997nPybVb+S85nYmKCVCqVlVEUfSyO448kSXK3lNJS\n4dozmqYdMgzjhb1793qMsSal9Pz9998fXcL1O67LpYQ3d+zYgYUQpuM4jmmavq7rb/T29p6ybTs0\nTVMghPRmszn/+uuvny2Xy8UkSW7inL8njuM7HMfpLxQKPYVCgU5OTkK5XG6dmSRJ0iZ0WAjRhxD6\nlcHBwbOGYfzZ2NjYmS45Az7G+ISmaRFCiF7JuQGAHACshIXafgYAhqZp5N5775289957p5966ikp\npSSO4xwrFAq7S6XSdf39/f/o3Llzt5w6dWp1uVzWa7UaGIZhzM/Pb5ifn1+9cuXK/ODg4H/J5/N/\ndeDAgcmLNULpMgqFtyjMUqnUVyqVpu+8884TR44cmXrttddACPFGkiQv5PP5lb29vQ/09vZ++tSp\nU7dOTk7q1WoVmaapVSqV1bVarX9oaKi4cuXKiXw+f2j//v0nN27cGLdd1+Gc3x1FkZO26VWectO2\nbbFcgq59wTDGhuM4+N577z0FAFMHDx6UUkpimuaxXC73jXw+f0ehUPgfp6ambp2amipVq1XqeR40\nm03SbDYLvu9/MIqi/7O/v/8/O47zzb1795Yffvjht9xvGk+llLbTPAtY4CkXS5T6IACw+/r6NhSL\nxQ1KIFQBYF5KicIwrMzPz5/GGM/NzMzoQoiVCo76jGEY6w3DGNQ0jTHGAGMMtVqtBeWm8Xcl/AyE\n0N2U0r+PMS6Pj48fHx4e5suscGwAuIkxduPAwADt6enxYaEuGJIkmW02mycppdMnT54EIYTJOe9T\n++ITYRi+3zCM1YZhGLquo7m5OajVaq1nm74U5G5gjO+klG5DCM2rmOGyQ8zf+MY36ODgYO/69et7\nhBAEY+wDwLQQohpF0dmpqSlx5MiRRhAEnjIGe5MkudswjI+aprnGMAzLNE00OzsL1WoVwjDs1DzL\nJoR8hBDyWxjjf7Oc65JdEwC4kVKKenp6mGmas1LKcpIkM81m84RhGOdPnz4dAYCmjJo85/xWXdc/\nGEXRxw3DWGuaZtGyLDIzMwOzs7MQBEFrPTL5Krpal992HKc8Njb2SjcjrRuZ2eV6aAAwDQAnpJR+\n6kkTQmIAOMMYOxLH8fVxHPfPz8/3NxoNxjlP+QWEYRg3OI7z8WKxeKZQKPyFZVkv7tu378RSKOfV\nlMed5uP7vhXH8Qd833/Add0bXde92fM8k3MuMcY36rp+p2madcdxgnw+/9NcLveXBw4cOEoImfns\nZz97QSWTyoxulREXYwhs27ZNnj17llNKE9M0Oca4zhiTlFK+0OhVTkspj2GMZ1544QXJGPuuqr65\nIUmSD2madp9pmuvz+Xz+1KlT5PTp0y0OhUyuCqKUDjDGHuzv7z+FENo7NjY2NzIyIttCAxFjbIpS\nGl+q/mw/N/Bm22Sp/j0FAMdgocdEqg8SAJh98skn5zRNO2Wa5gnbtm/L5XK/c+zYsfefOXNGV+EP\n5Pu+4XneL4Vh+HurVq16b7FY/K/79+8/djF5d3SZNl1XCwcWCICmbr755uCWW24RAOA9+eSTpxlj\n5wzDOG5Z1ndyudzvO45zzxtvvOHMz88jz/OQ7/tGs9m8MwzD0tq1a9cUi8U/37t37+sPP/xwdlJW\nkiS3+b5vZ8tRstb7cgi6S1iw8oEDB+Yppacsy3rdcZz7Hcd58Pjx47dPT0/r9Xo99Xr0OI7vEkL8\nLwAAtm0f2rNnTy3bCz6NpcZx3IIbM2WDMcZ4jhASd6sLhQXayRsxxus1TSPqvj0AOAMANcMwzhc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BiTuq63QmTpXkuShAkhBlN044pCA2+zwkwopRXLsmKMsZaFBRXMqSOEYpESRSth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\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QcevIc5SxbCJzxUW7slZcgV0BBCu7GGMcIcQ45z6E0JSGPi4PjBNMK/JnNTCTdJWRoACA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\n53n24cOH+z7++OMvNhqNFQDg9vX1ncnn8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QQRQhDLsiaq1erqUqn0J48//vjE1cCT119/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G+1\neOg6L5pboh8ppS6EuD3cpLiQgoqiAE3TFOfcD1NsC4AmIu+JO4fIwUS/xuS9Ib0AAOzevVvs2bOn\nvtRyqmbe87heTNOsUUrfRgjVWukkqoPGNymuMX140yYHfN+Hubk58DxvwckVCoUrlmX9J4zxVYzx\nxiAIIJFIgGmaC3SwrRz3Wm1r3759iBDCwkvD37ZtmwqCoMoYewNjXF3KxCJQHLcvzjnouu5ijCOH\nmFrjGOcN2dVKz+joKLVtOxOmyRcyTRFoDuXwKKXTa81o3ipZYmf+A42lETgzDMNhjJ1DCE2FDWkB\n5xw454tKuzHfrpY5MyvKtGfPHhoEAXvqqafcVgFlyNePhRA+5/xoOGGwpF+NZzxM0wRN01yM8SWM\ncWOti4deeeUVdvTo0fzWrVuZrus3rKNvfvObskVGelHAGB/T1HUd0uk0aJrmYYyvAkAVY7x8s2AQ\nBLpSyl6lU7rpxheOBREpJYpz9IdpTbAsa55z/lOMcXGpWfJb4Zj37t1LgiAwOOdVjHGwnILiByky\nOsuyIJFIVCilv8QYV5ZD4r9JzkEIYfm+/7EgCBKRbmIgABKJRF3TtJOEkMa2bdvU/v37P5ARaD6Q\nKwCe674wR0ZGqJSSRWxcLfRCpJQppRSJ+MZjIAAMw3AJIeNLRWxKKdA0bREh0W/S88ILL2iTk5M9\nV69e1aSUwBiDdDoNXV1djZDMx44cfCqVWsgIrLAzfknbGh0dxbZtM0KIH28C9n2feJ6XCW2kuG/f\nPuW6LtN1/VRIC7ykY4uAc2Q3oV5sQsjZdSp33RQgppSypJT3CCFM3/cXNc+FcgSmac4TQpwbqEHf\nMlAZp6+Nc2hEOkkmk7UQ2F1VSuWVUkrXdYj6h2LAQSGEAnXtWZNMBw8epI1GI2EYRoNS+oH/5Omn\nn8YhX7+hlOpijM2Fd1uzTFwp1R5mMBYAWjKZlJzzEsb44nIX70oP5zxtGMbny+XybLSX5EZ09NRT\nTyHOOdU0LQiX98WBJ2o0GiwIAiSEAM45pFIpyOVyijFWxxifV0oVMcbLOlkaNkao36CDBFJKFM2p\nRtkASikkEgmZSCQmGWMvh6mbD+1RSlmO43yKEFJCCJ1qdk4jIyPY8zxNSokjVrF4400ymZSWZZWW\nc2wRcGjhlNWHoZ8f/vCHuFqtmp7nJXzfx/EoIULUyWRyVtf1I4SQ2eZSSHMUHU+XEkIgdmjW/Ozd\nuxfbtp2TUm7Wdf0EXFtb3PxoSqkNQggtGumMnEEqlQosy5rGGE8t1bcRTUWsAaTFUflNGx/0PK9n\nZmbmn01OTvYghJCu67Bhwwano6PjIue8ES/ppNNpMAzjAzVdpdQCzfdKtkUIYUKIvKZps3EHqmma\nUEqVQkAcBEGQ9jzvtwghYBjGi9C0gW94eBh7nqcppbDneQuRdBjhCMMw5sJozYvs6AamBm5W9Jz1\nff93XNfNOo4DQoiF+rphGJBKpWYNw/gBIWR227ZtCn6Dn8OHD5NGo2H5vk9s227pw1Kp1Bwh5CjG\nuCaEaJNSQjRhEJ9GCe+YGxr1xhgTKWVaCBFEmzGPHDmCG42GhjF2Q3BgCyForVbrDYLg/kQi8UO4\nxnsRf3Qp5Wbf93XP8xDnHNLpNKTT6Trn/C1CyMkbKNtAo9EoJ5PJV9LpdM966AEhxB3HyXPOZ5sB\nilJKE0L0OI6jSynBNE1ob2+HTCbjU0ovY4zPKKX8lXwN3r17t1hFWeCWPIcOHcJSSk0IgR3HAcdx\nIOJEtywLstlsJZFI/JJSenVoaOhGxzpW7ZgPHz6Mn376aWPfvn0Lnt+yLJtSOuN53n1L7AowhBB3\nBEFghOQOC5deIpGAbDZb03X99XDXg7+MEQBjjMCvGzsFLDNlcDMf3/cTruveZ9t2wvd9FI1vRU4u\nm80G6XR6kjH2fhR1NvcPxCPOeEYhROTXfWGOjIzgp59+Wjt06BAGuNZMlEqlaBAEdwdBkGxFQ62U\n0oUQmzzP00MGtcixQS6Xm9N1/TlCyGmMccvR2ihTFQttaNM7L2dvOOz+TcBN6PT++c9/rtXr9dsv\nXLhwe7lc1sKSQLB58+bj6XT6Txljl7/2ta+pSCeWZTU3Cl53WQpj7GOMZz3PW7DjZ599Fvu+r0sp\ng507d3q7du1SmUympuv6Zdd1vySlbDtw4EDzDzHCLaRGo9EAhBBomgapVAoymUyFc/4KIeRyBNCu\nZ/vjrQBihw4dwiHY2WrbtuE4zkI5TNd1SCaTIp1OT+i6/gKltHQrfNcNZv/Svu8/ZNt2ul6vowjU\nhJk/aGtrq1mW9Roh5FjYtxEBwEU2FSsvecuUk1aUCWPsU0pnPc/Tbdsm4Tsa4c4XY2BgQA0MDEjD\nMGqmaV4QQnRKKY0WYC0lhPgt27bTruuCYRiQy+VUKpWaZ4y9iDGebjXevtrni1/8on/nnXfORV38\nN6ojwzCWJDlSSmWCIHi4VqulAQAVCgXo7u6WlmVNUUpfwhi/hRC6sC7NgrfK+IQQVhAEH/d9P1Gv\n15Hv+wvp2ra2NtHW1jauadpPMMbFdfhxC445/FrSMTuOowVBsEEpFc8Fi7Dbv9xqjFFKmRRCPBAE\nQapWq6EgCIBSCoZhQFtbW5DNZi9omvZ9SulkK/78yBlLKYFzTuFapzbAtW5uv0UW56brx/f9Ltu2\nn3QcpyNaVBOL2KBQKMynUqkfc86nnnjiCdlc4mi1jzxKPdbrdWg0GtellzD6ZUKIReQshBCBEBJS\nSt7cLHnw4EEcBIEVBEGyXq8Tz/OAMQaWZUE+nxepVGqSUvo6IaS4VN9GbEwyktECALYCd7wAgHJI\ngqKF1J/tN8hgtuh58cUXseM4W65cufLfnzt3rkdKiTKZDGzZsmW2t7d31DTNo4888ogbyRFG5oua\nOOMgIMbfsaxtPfbYY3L37t1uOCUAAACu62q+729o2hIqCSFVAJhTSgXNzYLRmfE8L1WtVlFcL8lk\ncpJS+jrGuBzVbq8zG3BddrVG/5Xwff+TjuPkGo0GjrJNnHNIJBKQy+VKqVTqeUrp5RtZQXwrZAnl\naXcc55u1Wi1fq9UWZDFNE3K5nMjn82O6rn+fUnplcHAwai4FXdcXNZ6G5x4jhHi4oXBNMj3++OPS\nNM2GpmllQogIQbnEGC/qxPc8Twoh5gghR8MxzQ/4Zt/3P1qtVk2lFORyOSgUCq6mae9jjN9BCDVu\n5f2y0hMEgcMYa9ksKIRIO47zULlcTpumCT09PbJQKEwzxv4GY3wEY/wSxvjcStlLukbBICaYt46G\n1+V53g7Xddur1SoopUDXdchkMiqfz88mEom/opS+gzF21uPHkT8ccgAAIABJREFUwbVOaB+uUah2\nhI7Zbr7YEUIu53yCUrqQlrFtGwshfE3TXiSElJqjVN/3233f/7zruqmINz0EAaq9vX3KsqwjlNI3\nosh5qdIAQija5x454gBazx/fVP0cOXLEqFQqd9q23ed5HotIdTRNA8uyoL293cvn8ydM0/yrkJp5\n0eXZXHtuZhyL2NeuRy9RlMA5XzRKWq1WHYzxBc55uTkCEUKkhBCfDYIgXSqVUGRjuVxOtre3T5qm\n+WNCyKmVNnLGSwMh2karsLerYSdzH0KIA8AGACgqpcrX29QZAzgqAoWe56Xm5+cfeu+99+6am5vT\nUqkU3H777e7WrVtPZLPZn2qatkgvUSYmyuw0j7nFHPZ125ZSymWMTTDG3FjKlDmOgznnzxNC5prO\nDPI8L+/7/udrtVrKtm0wDAPy+bwqFAozpmn+iFL6i6j5K2ravBnnfa1pdMdxNjuOs7ter3fUajUI\ngmChlp7L5bxCoXDMNM0jhJD5W+W7biC7YdTr9Y/U6/XuUqlEHccBQgiYpgnZbBY6OztL2Wz2x5TS\nt6ILKjoPEQdMc/YvstklANyqZPJ9H+3YscOP2xmldDxaYhX6EiSEaOi6/nJzU+rw8LDmOE6v4zjp\narWKU6kUdHV1yVQqNa5p2hFK6bmler4+LB2FgeIH7omDBw9y27a7K5VKzrZt0tPTAz09PVXLsn7O\nGBuhlL4N1xp72wGgb72AwE01vkOHDun1ev12z/M2VioVbtt2BAKgs7PTzufzr2maNkopnYxvYrpB\nRV0FgEkA6A1laumYWykibMIqU0r9wcFBGXfMIyMjVhAEn/Q8r6tUKtF6vQ6apkEul4Pu7u56Npv9\nJef8OULI9EqdqdGc7oepnx/84AekXq/f2Wg0/olt2xscx0ERGY2u61AoFILu7u7jmUzmTzVNe2/b\ntm1BHATEwUAcBERgJw58rkcvUSmguW6GEKoZhvEmpdTp7+9H/f39CADU6Ogo8jyv1/O8bbVaLV8q\nlUDTNMjn87Bhw4ZKJpN5XtO0EULI5HLjcE20vDi8JOkKdT6llKoBwBmEUAKuLfHZEMp7RilVair5\nqOasT2hjJMx+pMLf15VStZ/97GekWCx+4vTp009evHixQ9d11NfX5370ox99raur61/puv7+1772\nNdEMzqKdCa1KArHfr2hbzWyh4efXfGYCSukEpfRSM5iXUhpSyq2+7xeKxSIBAMjn89DV1VVPJpOv\nMca+Twi5smPHDtHi/SKwsuRZGhsbk6lUal7TtIqmaQVCiLaeQCwIgqzneV+2bXtLrVZjtm0DQggs\ny4K2tja/s7PzaCqV+hPG2MmBgYEbbeIV8/PzRUKIa5qmwRhbV1mOHDlCXNfd2mg0/rtyubyhUqkg\nIQQYhgGZTAa6urq8jo6Ok5qmHSGETMX9cdRD0LydMySBCq79OLUmfzw6OkobjUZqz549lW9/+9tB\nzDe7TWCfGIaRME2zEa1QjsBmEARdnuc9Ua1W81JK1N3dLdra2q5qmvZTQsgLCKHyOtEKX5cfW+rZ\nv38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z/vz54OjRo231et3knP8lIeQEIWScEDKLMXZW0kts6iE6F0FY+pqDVS6LWSsQq1ar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MF1vu/rQRCgMAwhCIKZufRpAxp/vqIoSpdhGJ2WZS0vFArlfD6/27Ks5/v7+/c9+OCDF3Sj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\nwO24OOdpz/MertVq6Wq1KsUgQNM0y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"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAgIAAAICCAYAAAC9RaXMAAAABmJLR0QAnACcAJzgBe+VAAAACXBI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\nTkSuQmCC", "rotation": -90, "scaleX": 1, "height": 80, "textureFilter": "Picture", "tintColor": [192, 228, 218, 255] }, { "type": "CIMSolidFill", "enable": true, "color": [120, 191, 233, 255] } ] }
- Properties
-
type String
The value is always "CIMPictureFill".
effects CIMGeometricEffect[]The geometric effects applied to the symbol layer. Effects dynamically alter the geometry when the symbology is applied. Multiple effects applied to a symbol layer are rendered sequentially.
enable BooleanA value indicating whether the symbol layer is visible. The symbol layer draws only when enabled.
colorLocked BooleanA value indicating whether the color can be changed for this symbol layer. If the symbol layer is colorLocked, then any changes to the symbol's color property will not be applied to this symbol layer.
primitiveName StringThe primitive name of the symbol. Used when setting a PrimitiveOverride.
url StringThe url of the image. Typically a base64 encoded image.
offsetX NumberThe distance that the image is offset in the horizontal direction.
offsetY NumberThe distance that the image is offset in the vertical direction.
rotation NumberThe angle of the image within the fill.
scaleX NumberThe width of the symbol without changing the height, as a ratio.
height NumberThe height of the image.
colorSubstitutions CIMColorSubstitution[]The color substitutions which allows colors in the image to be substituted with a different color.
optional The color that is applied as a tint to the image. The color is applied to the whole image. When the tint is set to white the image appears with its native colors. Value should be an array of r,b,g,a values (i.e.
[255,255,255,255]
(white)). - See also
-
CIMPictureMarker
CIMPictureMarker Object
-
Represents a picture marker created from a raster (bitmapped) image file. The image can have color substitutions to replace one or more colors in the image or it can have a tint applied to the whole image depending on the picture type. Supported formats are .bmp, .jpg, .png, and .gif.
The following image shows a
CIMPictureMarker
symbol layer (as defined in the code snippet below).{ "type": "CIMPictureMarker", "enable": true, "anchorPoint": { "x": 0, "y": 0 }, "size": 40, "scaleX": 1, "tintColor": [255, 255, 255, 255], "url": "https://freesvg.org/img/Earth.png" }
- Properties
-
type String
The value is always "CIMPictureMarker".
enable BooleanA value indicating whether the symbol layer is visible. The symbol layer draws only when enabled.
url StringThe url of the image. Typically a base64 encoded image.
size NumberThe height of the marker. Modifying size changes the marker's height to the specified size. The width will be updated proportionally.
colorLocked BooleanA value indicating whether the color can be changed for this symbol layer. If the symbol layer is colorLocked, then any changes to the symbol's color property will not be applied to this symbol layer.
effects CIMGeometricEffect[]The geometric effects applied to the symbol layer. Effects dynamically alter the geometry when the symbology is applied. Multiple effects applied to a symbol layer are rendered sequentially.
primitiveName StringThe primitive name of the symbol. Used when setting a PrimitiveOverride.
anchorPoint ObjectThe specified location where all transformation property operations originate.
anchorPointUnits StringDefault Value:"Relative"A value which specifies if the anchor point location is considered a percentage of the size or as an absolute distance.
Possible Values:"Relative"|"Absolute"
offsetX NumberThe distance that the image is offset in the horizontal direction.
offsetY NumberThe distance that the image is offset in the vertical direction.
rotateClockwise BooleanA value indicating whether the rotation is applied clockwise or counterclockwise to the marker layer.
rotation NumberThe angle of the image within the fill.
markerPlacement MarkerPlacementDetermines how markers are placed along a line or within a polygon.
scaleX NumberThe width of the symbol without changing the height, as a ratio.
height NumberThe height of the image.
colorSubstitutions CIMColorSubstitution[]The color substitutions which allows colors in the image to be substituted with a different color.
optional The color that is applied as a tint to the image. The color is applied to the whole image. When the tint is set to white the image appears with its native colors. Value should be an array of r,b,g,a values (i.e.
[255,255,255,255]
(white)).animatedSymbolProperties CIMAnimatedSymbolPropertiesSince 4.24 The collection of symbol properties that apply when the symbol layer has animation data (animated GIF or PNG).
animations CIMSymbolAnimation[]Since 4.31 The animations applied to the picure marker.
- See also
-
CIMPictureStroke
CIMPictureStroke Object
-
Represents a picture stroke which draws linear geometry with a repeating image file. Supported file types are .bmp, .jpg, .png, and .gif.
- Properties
-
type String
The value is always "CIMPictureStroke".
effects CIMGeometricEffect[]The geometric effects applied to the symbol layer. Effects dynamically alter the geometry when the symbology is applied. Multiple effects applied to a symbol layer are rendered sequentially.
enable BooleanA value indicating whether the symbol layer is visible. The symbol layer draws only when enabled.
colorLocked BooleanA value indicating whether the color can be changed for this symbol layer. If the symbol layer is colorLocked, then any changes to the symbol's color property will not be applied to this symbol layer.
primitiveName StringThe primitive name of the symbol. Used when setting a PrimitiveOverride.
url StringThe url of the image. Typically a base64 encoded image.
colorSubstitutions CIMColorSubstitution[]The color substitutions which allows colors in the image to be substituted with a different color.
optional The color that is applied as a tint to the image. The color is applied to the whole image. When the tint is set to white the image appears with its native colors. Value should be an array of r,b,g,a values (i.e.
[255,255,255,255]
(white)).width NumberThe width of the stroke.
capStyle StringDetermines how the stroke should draw at the ends of the geometries.
Possible Values:"Butt"|"Round"|"Square"
joinStyle StringDetermines how the symbol is drawn at the stroke segment connections.
Possible Values:"Bevel"|"Round"|"Miter"
miterLimit NumberThe maximum 'sharpness' that is allowed for miter joins. The sharp angle will be clipped and rendered with a bevel join if the spike created by the miter join exceeds the
miterLimit
multiplied by the width of the stroke. This property is only applied to the symbol layer when thejoinStyle
is set toMiter
. - See also
-
CIMPointSymbol
CIMPointSymbol Object
-
Represents a point symbol used to draw point features and graphics.
The code snippet below shows an example of a CIMPointSymbol with one CIMVectorMarker symbol layer which contains a triangle marker graphic as shown below.
const symbol = new CIMSymbol({ data: { type: "CIMSymbolReference", symbol: { type: "CIMPointSymbol", symbolLayers: [{ type: "CIMVectorMarker", enable: true, size: 32, frame: { xmin: 0, ymin: 0, xmax: 16, ymax: 16 }, markerGraphics: [{ type: "CIMMarkerGraphic", geometry: { rings: [[[8, 16],[0, 0],[16, 0],[8, 16]]] }, symbol: { type: "CIMPolygonSymbol", symbolLayers: [{ type: "CIMSolidStroke", width: 5, color: [240, 94, 35, 255] }] } }] }] } } });
- Properties
-
type String
The value is always "CIMPointSymbol".
symbolLayers CIMSymbolLayer[]The symbol layers. Symbol layers are the components that make up a symbol. A symbol layer is represented by a marker, stroke, or fill symbol layer. Symbol layers are the building blocks of CIM symbols, they combine to make rich graphical depictions. You can configure the shape, color, texture, size, position, etc of each symbol layer, and combine multiple symbol layers to create your desired symbol. The symbol layers are typically displayed in the order they are defined, so the first symbol layer will be displayed on top, and the last symbol layer will be displayed on bottom. There are some limitations to this when working with FeatureLayers - see CIMSymbolLayer for more information.
angle NumberThe amount of variation applied to the symbol, measured in degrees, propagated cumulatively to all marker symbols.
angleAlignment StringDefault Value:"Display"Indicates whether point symbols align to the map or to the display when a rotation is applied to the map.
Possible Values:"Display"|"Map"
effects CIMGeometricEffect[]The geometric effects applied to the symbol.
primitiveName StringThe primitive name of the symbol. Used when setting a PrimitiveOverride.
scaleX NumberThe X scale which changes the width of the symbol without changing the height, as a ratio.
useRealWorldSymbolSizes BooleanA value indicating whether the symbol size properties are rendered using real world units or page units. When set to
true
, the symbol will draw using real world units (e.g. meters).animations CIMSymbolAnimation[]Since 4.31 The animations applied globally to the entire symbol.
- See also
-
CIMPolygonSymbol
CIMPolygonSymbol Object
Since: ArcGIS Maps SDK for JavaScript 4.16CIMSymbol since 4.12, CIMPolygonSymbol added at 4.16. -
Represents a polygon symbol used to draw polygon features and graphics.
The code snippet below shows an example of a
CIMPolygonSymbol
with CIMVectorMarker symbols placed inside the polygon.const markerPolygonSymbol = new CIMSymbol({ data: { type: "CIMSymbolReference", symbol: { type: "CIMPolygonSymbol", symbolLayers: [{ type: "CIMVectorMarker", enable: true, size: 10, markerPlacement: { type: "CIMMarkerPlacementInsidePolygon", gridType: "Fixed", seed: 13, stepX: 16, stepY: 16, clipping: "ClipAtBoundary", }, markerGraphics: [{ type: "CIMMarkerGraphic", geometry: { rings: [ [ [0,5], [1.12,1.55], [4.76,1.55], [1.82,-0.59], [2.94,-4.05], [0,-1.91], [-2.94,-4.05], [-1.82,-0.59], [-4.76,1.55], [-1.12,1.55], [0,5] ] ] }, symbol: { type: "CIMPolygonSymbol", symbolLayers: [{ type: "CIMSolidFill", enable: true, color: [190,210,255,255] }] } }], scaleSymbolsProportionally: true, respectFrame: true }, { type: "CIMSolidFill", enable: true, color: [0,112,255,255] }] } } });
- CIMPolygonSymbol is not currently supported in 3D SceneViews.
- Properties
-
type String
The value is always "CIMPolygonSymbol".
symbolLayers CIMSymbolLayer[]The symbol layers. Symbol layers are the components that make up a symbol. A symbol layer is represented by a marker, stroke, or fill symbol layer. Symbol layers are the building blocks of CIM symbols, they combine to make rich graphical depictions. You can configure the shape, color, texture, size, position, etc of each symbol layer, and combine multiple symbol layers to create your desired symbol. The symbol layers are typically displayed in the order they are defined, so the first symbol layer will be displayed on top, and the last symbol layer will be displayed on bottom. There are some limitations to this when working with FeatureLayers - see CIMSymbolLayer for more information.
effects CIMGeometricEffect[]The geometric effects applied to the symbol.
useRealWorldSymbolSizes BooleanA value indicating whether the symbol size properties are rendered using real world units or page units. When set to
true
, the symbol will draw using real world units (e.g. meters). - See also
-
CIMSolidFill
CIMSolidFill Object
-
Represents a solid fill which fills polygonal geometry with a single solid color.
The following image shows a CIMPolygonSymbol with a CIMSolidFill symbol layer (as defined in the code snippet below).
{ "type": "CIMSolidFill", "enable": true, "color": [151, 219, 242, 255] }
- Properties
-
type String
The value is always "CIMSolidFill".
effects CIMGeometricEffect[]The geometric effects applied to the symbol layer. Effects dynamically alter the geometry when the symbology is applied. Multiple effects applied to a symbol layer are rendered sequentially.
enable BooleanA value indicating whether the symbol layer is visible. The symbol layer draws only when enabled.
colorLocked BooleanA value indicating whether the color can be changed for this symbol layer. If the symbol layer is colorLocked, then any changes to the symbol's color property will not be applied to this symbol layer.
primitiveName StringThe primitive name of the symbol. Used when setting a PrimitiveOverride.
The color that is applied to the fill. Value should be an array of r,b,g,a values (i.e.
[255,255,255,255]
(white)).animations CIMSymbolAnimation[]Since 4.31 The animations applied to the solid fill. Only CIMSymbolAnimationColor is supported.
- See also
-
CIMSolidStroke
CIMSolidStroke Object
-
Represents a solid stroke which draws linear geometry with a single solid color.
The following image shows a CIMLineSymbol with a CIMSolidStroke symbol layer (as defined in the code snippet below).
{ "type": "CIMSolidStroke", "enable": true, "capStyle": "Round", "joinStyle": "Round", "lineStyle3D": "Strip", "miterLimit": 10, "width": 5, "color": [0, 0, 0, 255] }
- Properties
-
type String
The value is always "CIMSolidStroke".
effects CIMGeometricEffect[]The geometric effects applied to the symbol layer. Effects dynamically alter the geometry when the symbology is applied. Multiple effects applied to a symbol layer are rendered sequentially.
enable BooleanA value indicating whether the symbol layer is visible. The symbol layer draws only when enabled.
colorLocked BooleanA value indicating whether the color can be changed for this symbol layer. If the symbol layer is colorLocked, then any changes to the symbol's color property will not be applied to this symbol layer.
primitiveName StringThe primitive name of the symbol. Used when setting a PrimitiveOverride.
The color that is applied to the fill. Value should be an array of r,b,g,a values (i.e.
[255,255,255,255]
(white)).width NumberThe width of the stroke.
capStyle StringDetermines how the stroke should draw at the ends of the geometries.
Possible Values:"Butt"|"Round"|"Square"
joinStyle StringDetermines how the symbol is drawn at the stroke segment connections.
Possible Values:"Bevel"|"Round"|"Miter"
miterLimit NumberThe maximum 'sharpness' that is allowed for miter joins. The sharp angle will be clipped and rendered with a bevel join if the spike created by the miter join exceeds the
miterLimit
multiplied by the width of the stroke. This property is only applied to the symbol layer when thejoinStyle
is set toMiter
.animations CIMSymbolAnimation[]Since 4.31 The animations applied to the solid stroke. Only CIMSymbolAnimationColor is supported.
- See also
-
CIMSymbolAnimation
CIMSymbolAnimation CIMSymbolAnimationSize |CIMSymbolAnimationScale |CIMSymbolAnimationColor |CIMSymbolAnimationTransparency |CIMSymbolAnimationRotation |CIMSymbolAnimationOffset
beta -
Represents a symbol animation used to animate the appearance of a symbol. The following types of animations are supported:
Type Description CIMSymbolAnimationSize Represents a symbol animation that changes the size of a symbol. CIMSymbolAnimationScale Represents a symbol animation that scales a symbol by a given amount. CIMSymbolAnimationColor Represents a symbol animation that changes the color of a symbol. CIMSymbolAnimationTransparency Represents a symbol animation that changes the transparency of a symbol. CIMSymbolAnimationRotation Represents a symbol animation that rotates a symbol to a given value. CIMSymbolAnimationOffset Represents a symbol animation that offsets a symbol to a given X or Y value. Known Limitations for CIMSymbol animations
- Animations are not currently supported in 3D SceneView.
- Animated symbols are not currently supported in the Legend widget.
- Global animations are currently only supported on CIMPointSymbols.
- Symbol layer animations are not fully supported within a CIMLineSymbol or CIMPolygonSymbol. If you use an animated marker within a line or polygon symbol, the marker placement will not be properly honored at this time. We will improve this behavior at a future release.
-
CIMSymbolAnimationColor
CIMSymbolAnimationColor Object
Since: ArcGIS Maps SDK for JavaScript 4.31CIMSymbol since 4.12, CIMSymbolAnimationColor added at 4.31. beta -
Represents a symbol animation that changes the color of a symbol. When applied globally or on a CIMVectorMarker or CIMPictureMarker symbol layer, the color animation will be multiplicatively applied to the symbol's color. When applied on a CIMSolidStroke or CIMSolidFill symbol layer, the color animation will be additively applied to the symbol's color.
- Properties
-
type String
The type of animation.
The value is always "CIMSymbolAnimationColor".
toColor ColorThe color of the symbol to animate to.
animatedSymbolProperties CIMAnimatedSymbolPropertiesThe properties that apply when the symbol layer has animation data.
- See also
-
CIMSymbolAnimationOffset
CIMSymbolAnimationOffset Object
Since: ArcGIS Maps SDK for JavaScript 4.31CIMSymbol since 4.12, CIMSymbolAnimationOffset added at 4.31. -
Represents a symbol animation that offsets a symbol.
- Properties
-
type String
The type of animation.
The value is always "CIMSymbolAnimationOffset".
offsetX NumberThe x offset of the symbol to animate to.
offsetY NumberThe y offset of the symbol to animate to.
animatedSymbolProperties CIMAnimatedSymbolPropertiesThe properties that apply when the symbol layer has animation data.
- See also
-
CIMSymbolAnimationRotation
CIMSymbolAnimationRotation Object
Since: ArcGIS Maps SDK for JavaScript 4.31CIMSymbol since 4.12, CIMSymbolAnimationRotation added at 4.31. beta -
Represents a symbol animation that rotates a symbol.
- Properties
-
type String
The type of animation.
The value is always "CIMSymbolAnimationRotation".
toRotation NumberThe rotation of the symbol to animate to.
animatedSymbolProperties CIMAnimatedSymbolPropertiesThe properties that apply when the symbol layer has animation data.
- See also
-
CIMSymbolAnimationScale
CIMSymbolAnimationScale Object
Since: ArcGIS Maps SDK for JavaScript 4.31CIMSymbol since 4.12, CIMSymbolAnimationScale added at 4.31. beta -
Represents a symbol animation that scales a symbol.
- Properties
-
type String
The type of animation.
The value is always "CIMSymbolAnimationScale".
scaleFactor NumberThe scale of the symbol to animate to. For example, a
scaleFactor
of 2 will animate the symbol to twice its original size, and ascaleFactor
of 0.5 will animate the symbol to half of its original size.animatedSymbolProperties CIMAnimatedSymbolPropertiesThe properties that apply when the symbol layer has animation data.
- See also
-
CIMSymbolAnimationSize
CIMSymbolAnimationSize Object
Since: ArcGIS Maps SDK for JavaScript 4.31CIMSymbol since 4.12, CIMSymbolAnimationSize added at 4.31. beta -
Represents a symbol animation that changes the size of a symbol.
- Properties
-
type String
The type of animation.
The value is always "CIMSymbolAnimationSize".
toSize NumberThe size of the symbol to animate to.
animatedSymbolProperties CIMAnimatedSymbolPropertiesThe properties that apply when the symbol layer has animation data.
- See also
-
CIMSymbolAnimationTransparency
CIMSymbolAnimationTransparency Object
Since: ArcGIS Maps SDK for JavaScript 4.31CIMSymbol since 4.12, CIMSymbolAnimationTransparency added at 4.31. beta -
Represents a symbol animation that changes the transparency of a symbol.
- Properties
-
type String
The type of animation.
The value is always "CIMSymbolAnimationTransparency".
toTransparency NumberThe transparency of the symbol to animate to.
animatedSymbolProperties CIMAnimatedSymbolPropertiesThe properties that apply when the symbol layer has animation data.
- See also
-
CIMSymbolLayer
CIMSymbolLayer CIMHatchFill |CIMPictureFill |CIMPictureMarker |CIMPictureStroke |CIMSolidFill |CIMSolidStroke |CIMVectorMarker
-
Represents a symbol layer, the component that makes up a symbol. A symbol layer is represented by a marker, stroke, or fill symbol layer. Symbol layers are the building blocks of CIM symbols, they combine to make rich graphical depictions. You can configure the shape, color, texture, size, position, etc of each symbol layer, and combine multiple symbol layers to create your desired symbol. The symbol layers are typically displayed in the order they are defined, so the first symbol layer will be displayed on top, and the last symbol layer will be displayed on bottom.
Known Limitations
CIMSymbols within a FeatureLayer will render the symbol layers in the following order from top to bottom for performance reasons, regardless of the order they are defined within the symbol.
- CIMTextSymbol embedded within a CIMVectorMarker symbol layer
- Marker symbols - CIMVectorMarker and CIMPictureMarker
- Stroke symbols - CIMSolidStroke and CIMPictureStroke
- Fill symbols - CIMSolidFill, CIMHatchFill, and CIMPictureFill
-
CIMSymbolReference
CIMSymbolReference Object
-
Represents a symbol reference from the data property.
- Properties
-
type String
The value is always "CIMSymbolReference".
primitiveOverrides PrimitiveOverride[]|null|undefinedThe primitive overrides. These allow you to use Arcade expressions to dynamically change many symbol layer properties from data values.
optional The symbol. Supported values are CIMPointSymbol, CIMLineSymbol, and CIMPolygonSymbol.
minScale NumberSince 4.20 The minimum scale the symbol reference should be displayed. To show your symbol at all scales, set
minScale
andmaxScale
to0
.maxScale NumberSince 4.20 The maximum scale the symbol reference should be displayed. To show your symbol at all scales, set
minScale
andmaxScale
to0
. - See also
-
CIMTextSymbol
CIMTextSymbol Object
-
Represents a text symbol which is used to draw text graphics. Text symbols do not contain any symbol layers.
The code snippet below shows an example of a
CIMTextSymbol
as a marker graphic inside a CIMVectorMarker symbol layer.{ "type": "CIMVectorMarker", "enable": true, "size": 10, "colorLocked": true, "anchorPointUnits": "Relative", "frame": { "xmin": -5, "ymin": -5, "xmax": 5, "ymax": 5 }, "markerGraphics": [ { "type": "CIMMarkerGraphic", "geometry": { "x": 0, "y": 0 }, "symbol": { "type": "CIMTextSymbol", "fontFamilyName": "Arial", "fontStyleName": "Bold", "height": 20, "horizontalAlignment": "Center", "offsetX": 0, "offsetY": 0, "symbol": { "type": "CIMPolygonSymbol", "symbolLayers": [ { "type": "CIMSolidFill", "enable": true, "color": [89, 31, 147, 255] } ] }, "verticalAlignment": "Center", }, "textString": "hello!" } ], "scaleSymbolsProportionally": true, "respectFrame": true }
- Properties
-
type String
The value is always "CIMTextSymbol".
angle NumberThe amount of rotation applied to the text symbol, measured in degrees, around the geometry.
fontFamilyName StringThe font family name of the font (e.g. Comic Sans). The possible values are dependent upon if you working with a MapView or SceneView. See the Labeling guide page for detailed explanation. Unsupported fonts will fall back to
Arial Unicode MS Regular
in MapView andsans-serif
in SceneView.fontStyleName StringThe style name for the font family.
Possible Values:"Regular"|"Bold"|"Italic"
haloSize NumberThe size of the halo that extends beyond the symbol shape.
haloSymbol CIMPolygonSymbolThe polygon symbol that is used to draw the halo for a text symbol.
height NumberThe size of the text in points.
horizontalAlignment StringThe alignment type used to align the text to the geometry horizontally. Affects which side of a point geometry the point text is drawn or which end of a line it is drawn close to. Commonly used to define how stacked text appears.
Possible Values:"Left"|"Right"|"Center"
offsetX NumberThe X offset.
offsetY NumberThe Y offset.
strikethrough BooleanA value indicating whether to draw the text with a strike through it.
symbol CIMPolygonSymbolThe polygon symbol that is used to draw the glyphs of the text. Only
CIMSolidFill
symbol layers are supported.underline BooleanA value indicating whether to draw the text with an underline.
verticalAlignment StringThe vertical alignment of the text.
Possible Values:"Top"|"Center"|"Baseline"|"Bottom"
callout CIMBackgroundCalloutSince 4.26 The background of the text.
- See also
-
CIMVectorMarker
CIMVectorMarker Object
-
Represents a vector marker which can represent vector graphics. It's constructed from MarkerGraphics which are geometries and symbols used as building blocks for the marker.
The following image shows a CIMPointSymbol with a CIMVectorMarker symbol layer (as defined in the code snippet below).
{ "type": "CIMVectorMarker", "enable": true, "size": 40, "frame": { "xmin": 0, "ymin": 0, "xmax": 17, "ymax": 17 }, "markerGraphics": [ { "type": "CIMMarkerGraphic", "geometry": { "rings": [ [ [4.25, 1.31], [0, 8.51], [4.25, 15.66], [12.75, 15.66 ], [17, 8.51], [12.75, 1.31], [4.25,1.31] ] ] }, "symbol": { "type": "CIMPolygonSymbol", "symbolLayers": [ { "type": "CIMSolidFill", "enable": true, "color": [214, 0, 0, 255] } ] } } ], "scaleSymbolsProportionally": true, "respectFrame": true }
- Properties
-
type String
The value is always "CIMVectorMarker".
effects CIMGeometricEffect[]The geometric effects applied to the symbol layer. Effects dynamically alter the geometry when the symbology is applied. Multiple effects applied to a symbol layer are rendered sequentially.
enable BooleanA value indicating whether the symbol layer is visible. The symbol layer draws only when enabled.
colorLocked BooleanA value indicating whether the color can be changed for this symbol layer. If the symbol layer is colorLocked, then any changes to the symbol's color property will not be applied to this symbol layer.
primitiveName StringThe primitive name of the symbol. Used when setting a PrimitiveOverride.
size NumberThe height of the marker. Modifying size changes the marker's height to the specified size. The width will be updated proportionally.
anchorPoint ObjectThe specified location where all transformation property operations originate.
anchorPointUnits StringDefault Value:"Relative"A value which specifies if the anchor point location is considered a percentage of the size or as an absolute distance.
Possible Values:"Relative"|"Absolute"
offsetX NumberThe distance that the image is offset in the horizontal direction.
offsetY NumberThe distance that the image is offset in the vertical direction.
rotateClockwise BooleanA value indicating whether the rotation is applied clockwise or counterclockwise to the marker layer.
rotation NumberThe angle of the image within the fill.
markerPlacement MarkerPlacementDetermines how markers are placed along a line or within a polygon.
frame EnvelopeThe outer boundary of the entire vector marker.
markerGraphics CIMMarkerGraphic[]The vector graphics that define the shape of the marker. The marker graphics are typically rendered from bottom to top, so the first marker graphic will be displayed at the bottom, and the last marker graphic will be displayed on top. See CIMMarkerGraphic for limitations with FeatureLayer.
scaleSymbolsProportionally BooleanA value indicating whether the strokes and or fills of a marker are scaled proportionally when the symbol size is changed. When enabled, the strokes for the outline or fill of the polygon symbol used to draw the marker will be scaled proportionally with changes to the symbol size. If this property is not enabled, then the stroke will draw with the specified width regardless of the marker size.
respectFrame BooleanA value indicating whether the frame of the vector marker should be honored when drawing the marker.
animations CIMSymbolAnimation[]Since 4.31 The animations applied to the vector marker.
- See also
-
Envelope
Envelope Object
-
An envelope is a rectangle defined by a range of values for each coordinate and attribute.
-
MarkerPlacement
MarkerPlacement CIMMarkerPlacementAlongLineSameSize |CIMMarkerPlacementAtExtremities |CIMMarkerPlacementAtRatioPositions |CIMMarkerPlacementInsidePolygon |CIMMarkerPlacementOnLine |CIMMarkerPlacementOnVertices |CIMMarkerPlacementPolygonCenter
-
Represents a marker placement.
-
PrimitiveOverride
PrimitiveOverride Object
-
Represents a primitive override. A primitive override allows you to use an Arcade expression to dynamically change a property on a symbol layer based on data values. This is used with the Arcade visualization profile, which gives access to
$feature
and$view.scale
profile variables. This allows you to override symbol layer properties based on a feature attribute at the current scale of the view.Using
$view.scale
: The following JSON snippet shows a primitive override on thesize
property for a symbol layer with the primitiveName"symbol-layer-1"
. Based on the Arcade expression, the size of the symbol layer will update as the view scale changes.{ type: "CIMPrimitiveOverride", primitiveName: "symbol-layer-1", // the name of the symbol layer we want to override propertyName: "Size", // the name of the property on the symbol layer we want to override valueExpressionInfo: { type: "CIMExpressionInfo", title: "Size override", // the pixel size at the largest scale // 42 represents the pixel size of the // circles at the view's largest scale (1:2,311,161) expression: "42 * 2311161 / $view.scale", returnType: "Default" } }
Using
$feature
: The following JSON snippet shows a primitive override on thetextString
property of a markerGraphic with the primitive name"textGraphic"
. The value oftextGraphic
will be based on the value ofNAME
for each feature.{ type: "CIMPrimitiveOverride", primitiveName: "textGraphic", propertyName: "TextString", valueExpressionInfo: { type: "CIMExpressionInfo", title: "Custom", expression: "$feature.NAME", // value of textString will be based on the NAME of the feature returnType: "Default" } }
- Properties
-
type String
The value is always "CIMPrimitiveOverride".
primitiveName StringThe primitive name this override applies to.
propertyName StringThe name of the property in the primitive this override applies to (e.g. "Size"). This value must be in Proper case (e.g. "Size" not "size").
valueExpressionInfo ObjectContains the Arcade expression that returns a value to be applied to the property on the primitive.
- Specification
-
type String
The value is always "CIMExpressionInfo".
title StringThe human readable text that describes the expression.
expression StringAn Arcade expression following the specification defined by the Arcade Visualization Profile. Expressions in primitive overrides may reference field values using the
$feature
profile variable and must return a number or a string. The value returned from this expression represents the value override for the specifiedpropertyName
. For example, when overriding a symbol layer's color, you must return a string representing a color (e.g."rgb(255,255,255)"
,"white"
, or"#ffffff"
). When overriding a size, you must return a number representing the new size of the symbol layer.name StringThe name of the expression.
returnType StringThe return type of the expression.
"Default"
means the return type of the expression is determined by the consumer using the expression.Possible Values:"Default"|"String"|"Numeric"
- See also