| 1 | "use strict";var A=require("react"),t=require("prop-types"),e=require("three"),n=require("gsap");function s(A){return A&&"object"==typeof A&&"default"in A?A:{default:A}}var i,l,r,a,m=s(A),u=s(t),c=s(n);function y(A,t){if(!(A instanceof t))throw new TypeError("Cannot call a class as a function")}function o(A,t){for(var e=0;e<t.length;e++){var n=t[e];n.enumerable=n.enumerable||!1,n.configurable=!0,"value"in n&&(n.writable=!0),Object.defineProperty(A,n.key,n)}}function p(A,t,e){return t&&o(A.prototype,t),e&&o(A,e),A}function S(A,t,e){return t in A?Object.defineProperty(A,t,{value:e,enumerable:!0,configurable:!0,writable:!0}):A[t]=e,A}function Z(A,t){if("function"!=typeof t&&null!==t)throw new TypeError("Super expression must either be null or a function");A.prototype=Object.create(t&&t.prototype,{constructor:{value:A,writable:!0,configurable:!0}}),t&&z(A,t)}function J(A){return(J=Object.setPrototypeOf?Object.getPrototypeOf:function(A){return A.__proto__||Object.getPrototypeOf(A)})(A)}function z(A,t){return(z=Object.setPrototypeOf||function(A,t){return A.__proto__=t,A})(A,t)}function k(A){if(void 0===A)throw new ReferenceError("this hasn't been initialised - super() hasn't been called");return A}function V(A,t){return!t||"object"!=typeof t&&"function"!=typeof t?k(A):t}function q(A){var t=function(){if("undefined"==typeof Reflect||!Reflect.construct)return!1;if(Reflect.construct.sham)return!1;if("function"==typeof Proxy)return!0;try{return Boolean.prototype.valueOf.call(Reflect.construct(Boolean,[],(function(){}))),!0}catch(A){return!1}}();return function(){var e,n=J(A);if(t){var s=J(this).constructor;e=Reflect.construct(n,arguments,s)}else e=n.apply(this,arguments);return V(this,e)}}var d=function(){function A(t){var n=this;y(this,A),S(this,"resize",(function(A,t){var e,s,i;n.width=n.container.offsetWidth,n.height=n.container.offsetHeight,n.renderer.setSize(n.width,n.height),n.camera.aspect=n.width/n.height;var l,r,a=t||n.current;n.imageAspect="IMG"===(null===(e=n.textures[a])||void 0===e?void 0:e.image.nodeName)?(null===(s=n.textures[a])||void 0===s?void 0:s.image.height)/(null===(i=n.textures[a])||void 0===i?void 0:i.image.width):.5625,n.height/n.width>n.imageAspect?(l=n.width/n.height*n.imageAspect,r=1):(l=1,r=n.height/n.width/n.imageAspect),n.material.uniforms.resolution.value.x=n.width,n.material.uniforms.resolution.value.y=n.height,n.material.uniforms.resolution.value.z=l,n.material.uniforms.resolution.value.w=r;var m=n.camera.position.z;n.camera.fov=180/Math.PI*2*Math.atan(1/(2*m)),n.plane.scale.x=n.camera.aspect,n.plane.scale.y=1,n.camera.updateProjectionMatrix()})),this.scene=new e.Scene,this.vertex="\n varying vec2 vUv;\n void main() {\n vUv = uv;\n gl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\n }",this.fps=t.fps||null,this.fragment=t.fragment,this.uniforms=t.uniforms,this.renderer=new e.WebGLRenderer,this.width=window.innerWidth,this.height=window.innerHeight,this.renderer.setPixelRatio(Math.min(window.devicePixelRatio,2)),this.renderer.setSize(this.width,this.height),this.renderer.setClearColor(15658734,1),this.duration=t.duration||1,this.debug=t.debug||!1,this.easing=t.easing||"easeInOut",this.displacementImage=t.displacementImage,this.container=t.containerRef,this.images=JSON.parse(this.container.getAttribute("data-images")),this.videos=JSON.parse(this.container.getAttribute("data-videos")),this.width=this.container.offsetWidth,this.height=this.container.offsetHeight,this.isRunning=!1,this.container.appendChild(this.renderer.domElement),this.camera=new e.PerspectiveCamera(70,window.innerWidth/window.innerHeight,.001,1e3),this.camera.position.set(0,0,2),this.time=0,this.current=0,this.textures=[],this.paused=!0,this.initiate((function(){n.setupResize(),n.settings(),n.addObjects(),n.resize(),n.play()}))}return p(A,[{key:"initiate",value:function(A){var t=[],n=this;this.images.forEach((function(A,s){if(A){var i=new Promise((function(t){n.textures[s]=(new e.TextureLoader).load(A,t)}));t.push(i)}})),this.videos.forEach((function(A,s){if(A){var i=document.createElement("video");i.crossOrigin="anonymous",i.autoplay=!0,i.src=A,i.load(),i.muted=!0,i.loop=!0,0!==s?i.pause():i.play();var l=new Promise((function(A){n.textures[s]=new e.VideoTexture(i),A()}));t.push(l)}})),Promise.all(t).then((function(){A()}))}},{key:"settings",value:function(){var A=this;this.settings={progress:.5},Object.keys(this.uniforms).forEach((function(t){A.settings[t]=A.uniforms[t].value}))}},{key:"setupResize",value:function(){window.addEventListener("resize",this.resize)}},{key:"removeResize",value:function(){window.removeEventListener("resize",this.resize)}},{key:"addObjects",value:function(){this.material=new e.ShaderMaterial({extensions:{derivatives:"#extension GL_OES_standard_derivatives : enable"},side:e.DoubleSide,uniforms:{time:{type:"f",value:0},progress:{type:"f",value:0},border:{type:"f",value:0},intensity:{type:"f",value:0},scaleX:{type:"f",value:40},scaleY:{type:"f",value:40},transition:{type:"f",value:40},swipe:{type:"f",value:0},width:{type:"f",value:0},radius:{type:"f",value:0},texture1:{type:"f",value:this.textures[0]},texture2:{type:"f",value:this.textures[1]},displacement:{type:"f",value:(new e.TextureLoader).load(this.displacementImage)},resolution:{type:"v4",value:new e.Vector4}},vertexShader:this.vertex,fragmentShader:this.fragment}),this.geometry=new e.PlaneGeometry(1,1,2,2),this.plane=new e.Mesh(this.geometry,this.material),this.scene.add(this.plane)}},{key:"stop",value:function(){this.paused=!0}},{key:"play",value:function(){this.paused=!1,this.fps?this.startAnimating(this.fps):this.render()}},{key:"isPaused",value:function(){return this.paused}},{key:"isSliding",value:function(){return this.isRunning}},{key:"next",value:function(){var A=this;if(!this.isRunning){this.isRunning=!0;var t=this.textures.length,e=this.textures[(this.current+1)%t];this.material.uniforms.texture2.value=e,c.default.timeline().to(this.material.uniforms.progress,{duration:this.duration,value:1,ease:"power2.out",onComplete:function(){A.current=(A.current+1)%t,A.material.uniforms.texture1.value=e,A.material.uniforms.progress.value=0,A.isRunning=!1}})}}},{key:"slideTo",value:function(A){var t=this,e=arguments.length>1&&void 0!==arguments[1]?arguments[1]:function(){},n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:function(){};if(!this.isRunning){this.isRunning=!0;var s=this.textures.length,i=this.textures[A%s];this.material.uniforms.texture2.value=i,i.image.currentTime=0,"VIDEO"===i.image.nodeName&&i.image.play();var l=c.default.timeline();setTimeout((function(){t.resize(null,A%s)}),1e3*this.duration/10),l.to(this.material.uniforms.progress,{duration:this.duration,value:1,ease:"power2.out",onStart:e,onComplete:function(){var e,l;null===(e=(l=t.textures[t.current].image).pause)||void 0===e||e.call(l),t.current=A%s,t.material.uniforms.texture1.value=i,t.material.uniforms.progress.value=0,t.isRunning=!1,n()}})}}},{key:"render",value:function(){var A=this;this.paused||(this.isRunning&&(this.time+=.05,this.material.uniforms.time.value=this.time,Object.keys(this.uniforms).forEach((function(t){A.material.uniforms[t].value=A.settings[t]}))),this.fps||requestAnimationFrame(this.render.bind(this)),this.renderer.render(this.scene,this.camera))}},{key:"startAnimating",value:function(A){i=1e3/A,r=window.performance.now(),this.animate()}},{key:"animate",value:function(){this.paused||(requestAnimationFrame(this.animate.bind(this)),l=Date.now(),(a=l-r)>i&&(r=l-a%i,this.render()))}}]),A}(),T=function(A){var t=A.fps,e=A.displacement,n=A.slideSpeed,s=A.containerRef;return new d({fps:t,displacementImage:e,duration:n,containerRef:s,easing:"easeOut",uniforms:{width:{value:.5,type:"f",min:0,max:10},scaleX:{value:40,type:"f",min:.1,max:60},scaleY:{value:40,type:"f",min:.1,max:60}},fragment:"\n\t\tuniform float time;\n\t\tuniform float progress;\n\t\tuniform float width;\n\t\tuniform float scaleX;\n\t\t// uniform float border;\n\t\tuniform float scaleY;\n\t\tuniform sampler2D texture1;\n\t\tuniform sampler2D texture2;\n\t\tuniform sampler2D displacement;\n\t\tuniform vec4 resolution;\n\n\t\tvarying vec2 vUv;\n\t\tvarying vec4 vPosition;\n\n\t\t//\tClassic Perlin 3D Noise \n\t\t//\tby Stefan Gustavson\n\t\t//\n\t\tvec4 permute(vec4 x){return mod(((x*34.0)+1.0)*x, 289.0);}\n\t\tvec4 taylorInvSqrt(vec4 r){return 1.79284291400159 - 0.85373472095314 * r;}\n\t\tvec4 fade(vec4 t) {return t*t*t*(t*(t*6.0-15.0)+10.0);}\n\n\t\tfloat cnoise(vec4 P){\n\t\t ;\n\t\t vec4 Pi0 = floor(P); // Integer part for indexing\n\t\t vec4 Pi1 = Pi0 + 1.0; // Integer part + 1\n\t\t Pi0 = mod(Pi0, 289.0);\n\t\t Pi1 = mod(Pi1, 289.0);\n\t\t vec4 Pf0 = fract(P); // Fractional part for interpolation\n\t\t vec4 Pf1 = Pf0 - 1.0; // Fractional part - 1.0\n\t\t vec4 ix = vec4(Pi0.x, Pi1.x, Pi0.x, Pi1.x);\n\t\t vec4 iy = vec4(Pi0.yy, Pi1.yy);\n\t\t vec4 iz0 = vec4(Pi0.zzzz);\n\t\t vec4 iz1 = vec4(Pi1.zzzz);\n\t\t vec4 iw0 = vec4(Pi0.wwww);\n\t\t vec4 iw1 = vec4(Pi1.wwww);\n\n\t\t vec4 ixy = permute(permute(ix) + iy);\n\t\t vec4 ixy0 = permute(ixy + iz0);\n\t\t vec4 ixy1 = permute(ixy + iz1);\n\t\t vec4 ixy00 = permute(ixy0 + iw0);\n\t\t vec4 ixy01 = permute(ixy0 + iw1);\n\t\t vec4 ixy10 = permute(ixy1 + iw0);\n\t\t vec4 ixy11 = permute(ixy1 + iw1);\n\n\t\t vec4 gx00 = ixy00 / 7.0;\n\t\t vec4 gy00 = floor(gx00) / 7.0;\n\t\t vec4 gz00 = floor(gy00) / 6.0;\n\t\t gx00 = fract(gx00) - 0.5;\n\t\t gy00 = fract(gy00) - 0.5;\n\t\t gz00 = fract(gz00) - 0.5;\n\t\t vec4 gw00 = vec4(0.75) - abs(gx00) - abs(gy00) - abs(gz00);\n\t\t vec4 sw00 = step(gw00, vec4(0.0));\n\t\t gx00 -= sw00 * (step(0.0, gx00) - 0.5);\n\t\t gy00 -= sw00 * (step(0.0, gy00) - 0.5);\n\n\t\t vec4 gx01 = ixy01 / 7.0;\n\t\t vec4 gy01 = floor(gx01) / 7.0;\n\t\t vec4 gz01 = floor(gy01) / 6.0;\n\t\t gx01 = fract(gx01) - 0.5;\n\t\t gy01 = fract(gy01) - 0.5;\n\t\t gz01 = fract(gz01) - 0.5;\n\t\t vec4 gw01 = vec4(0.75) - abs(gx01) - abs(gy01) - abs(gz01);\n\t\t vec4 sw01 = step(gw01, vec4(0.0));\n\t\t gx01 -= sw01 * (step(0.0, gx01) - 0.5);\n\t\t gy01 -= sw01 * (step(0.0, gy01) - 0.5);\n\n\t\t vec4 gx10 = ixy10 / 7.0;\n\t\t vec4 gy10 = floor(gx10) / 7.0;\n\t\t vec4 gz10 = floor(gy10) / 6.0;\n\t\t gx10 = fract(gx10) - 0.5;\n\t\t gy10 = fract(gy10) - 0.5;\n\t\t gz10 = fract(gz10) - 0.5;\n\t\t vec4 gw10 = vec4(0.75) - abs(gx10) - abs(gy10) - abs(gz10);\n\t\t vec4 sw10 = step(gw10, vec4(0.0));\n\t\t gx10 -= sw10 * (step(0.0, gx10) - 0.5);\n\t\t gy10 -= sw10 * (step(0.0, gy10) - 0.5);\n\n\t\t vec4 gx11 = ixy11 / 7.0;\n\t\t vec4 gy11 = floor(gx11) / 7.0;\n\t\t vec4 gz11 = floor(gy11) / 6.0;\n\t\t gx11 = fract(gx11) - 0.5;\n\t\t gy11 = fract(gy11) - 0.5;\n\t\t gz11 = fract(gz11) - 0.5;\n\t\t vec4 gw11 = vec4(0.75) - abs(gx11) - abs(gy11) - abs(gz11);\n\t\t vec4 sw11 = step(gw11, vec4(0.0));\n\t\t gx11 -= sw11 * (step(0.0, gx11) - 0.5);\n\t\t gy11 -= sw11 * (step(0.0, gy11) - 0.5);\n\n\t\t vec4 g0000 = vec4(gx00.x,gy00.x,gz00.x,gw00.x);\n\t\t vec4 g1000 = vec4(gx00.y,gy00.y,gz00.y,gw00.y);\n\t\t vec4 g0100 = vec4(gx00.z,gy00.z,gz00.z,gw00.z);\n\t\t vec4 g1100 = vec4(gx00.w,gy00.w,gz00.w,gw00.w);\n\t\t vec4 g0010 = vec4(gx10.x,gy10.x,gz10.x,gw10.x);\n\t\t vec4 g1010 = vec4(gx10.y,gy10.y,gz10.y,gw10.y);\n\t\t vec4 g0110 = vec4(gx10.z,gy10.z,gz10.z,gw10.z);\n\t\t vec4 g1110 = vec4(gx10.w,gy10.w,gz10.w,gw10.w);\n\t\t vec4 g0001 = vec4(gx01.x,gy01.x,gz01.x,gw01.x);\n\t\t vec4 g1001 = vec4(gx01.y,gy01.y,gz01.y,gw01.y);\n\t\t vec4 g0101 = vec4(gx01.z,gy01.z,gz01.z,gw01.z);\n\t\t vec4 g1101 = vec4(gx01.w,gy01.w,gz01.w,gw01.w);\n\t\t vec4 g0011 = vec4(gx11.x,gy11.x,gz11.x,gw11.x);\n\t\t vec4 g1011 = vec4(gx11.y,gy11.y,gz11.y,gw11.y);\n\t\t vec4 g0111 = vec4(gx11.z,gy11.z,gz11.z,gw11.z);\n\t\t vec4 g1111 = vec4(gx11.w,gy11.w,gz11.w,gw11.w);\n\n\t\t vec4 norm00 = taylorInvSqrt(vec4(dot(g0000, g0000), dot(g0100, g0100), dot(g1000, g1000), dot(g1100, g1100)));\n\t\t g0000 *= norm00.x;\n\t\t g0100 *= norm00.y;\n\t\t g1000 *= norm00.z;\n\t\t g1100 *= norm00.w;\n\n\t\t vec4 norm01 = taylorInvSqrt(vec4(dot(g0001, g0001), dot(g0101, g0101), dot(g1001, g1001), dot(g1101, g1101)));\n\t\t g0001 *= norm01.x;\n\t\t g0101 *= norm01.y;\n\t\t g1001 *= norm01.z;\n\t\t g1101 *= norm01.w;\n\n\t\t vec4 norm10 = taylorInvSqrt(vec4(dot(g0010, g0010), dot(g0110, g0110), dot(g1010, g1010), dot(g1110, g1110)));\n\t\t g0010 *= norm10.x;\n\t\t g0110 *= norm10.y;\n\t\t g1010 *= norm10.z;\n\t\t g1110 *= norm10.w;\n\n\t\t vec4 norm11 = taylorInvSqrt(vec4(dot(g0011, g0011), dot(g0111, g0111), dot(g1011, g1011), dot(g1111, g1111)));\n\t\t g0011 *= norm11.x;\n\t\t g0111 *= norm11.y;\n\t\t g1011 *= norm11.z;\n\t\t g1111 *= norm11.w;\n\n\t\t float n0000 = dot(g0000, Pf0);\n\t\t float n1000 = dot(g1000, vec4(Pf1.x, Pf0.yzw));\n\t\t float n0100 = dot(g0100, vec4(Pf0.x, Pf1.y, Pf0.zw));\n\t\t float n1100 = dot(g1100, vec4(Pf1.xy, Pf0.zw));\n\t\t float n0010 = dot(g0010, vec4(Pf0.xy, Pf1.z, Pf0.w));\n\t\t float n1010 = dot(g1010, vec4(Pf1.x, Pf0.y, Pf1.z, Pf0.w));\n\t\t float n0110 = dot(g0110, vec4(Pf0.x, Pf1.yz, Pf0.w));\n\t\t float n1110 = dot(g1110, vec4(Pf1.xyz, Pf0.w));\n\t\t float n0001 = dot(g0001, vec4(Pf0.xyz, Pf1.w));\n\t\t float n1001 = dot(g1001, vec4(Pf1.x, Pf0.yz, Pf1.w));\n\t\t float n0101 = dot(g0101, vec4(Pf0.x, Pf1.y, Pf0.z, Pf1.w));\n\t\t float n1101 = dot(g1101, vec4(Pf1.xy, Pf0.z, Pf1.w));\n\t\t float n0011 = dot(g0011, vec4(Pf0.xy, Pf1.zw));\n\t\t float n1011 = dot(g1011, vec4(Pf1.x, Pf0.y, Pf1.zw));\n\t\t float n0111 = dot(g0111, vec4(Pf0.x, Pf1.yzw));\n\t\t float n1111 = dot(g1111, Pf1);\n\n\t\t vec4 fade_xyzw = fade(Pf0);\n\t\t vec4 n_0w = mix(vec4(n0000, n1000, n0100, n1100), vec4(n0001, n1001, n0101, n1101), fade_xyzw.w);\n\t\t vec4 n_1w = mix(vec4(n0010, n1010, n0110, n1110), vec4(n0011, n1011, n0111, n1111), fade_xyzw.w);\n\t\t vec4 n_zw = mix(n_0w, n_1w, fade_xyzw.z);\n\t\t vec2 n_yzw = mix(n_zw.xy, n_zw.zw, fade_xyzw.y);\n\t\t float n_xyzw = mix(n_yzw.x, n_yzw.y, fade_xyzw.x);\n\t\t return 2.2 * n_xyzw;\n\t\t}\n\n\n\t\tfloat map(float value, float min1, float max1, float min2, float max2) {\n\t\t return min2 + (value - min1) * (max2 - min2) / (max1 - min1);\n\t\t}\n\n\t\tfloat parabola( float x, float k ) {\n\t\t return pow( 4. * x * ( 1. - x ), k );\n\t\t}\n\n\n\t\tvoid main()\t{\n\t\t\tfloat dt = parabola(progress,1.);\n\t\t\tfloat border = 1.;\n\t\t\tvec2 newUV = (vUv - vec2(0.5))*resolution.zw + vec2(0.5);\n\t\t\tvec4 color1 = texture2D(texture1,newUV);\n\t\t\tvec4 color2 = texture2D(texture2,newUV);\n\t\t\tvec4 d = texture2D(displacement,vec2(newUV.x*scaleX,newUV.y*scaleY));\n\n\t\t\tfloat realnoise = 0.5*(cnoise(vec4(newUV.x*scaleX + 0.*time/3., newUV.y*scaleY,0.*time/3.,0.)) +1.);\n\n\t\t\tfloat w = width*dt;\n\n\t\t\tfloat maskvalue = smoothstep(1. - w,1.,vUv.x + mix(-w/2., 1. - w/2., progress));\n\t\t\tfloat maskvalue0 = smoothstep(1.,1.,vUv.x + progress);\n\n\n\n\t\t\tfloat mask = maskvalue + maskvalue*realnoise;\n\t\t\t// float mask = maskvalue;\n\n\t\t\tfloat final = smoothstep(border,border+0.01,mask);\n\n\t\t\tgl_FragColor = mix(color1,color2,final);\n\t\t\t// gl_FragColor =vec4(maskvalue0,final,0.,1.);\n\t\t}\n\t"})},W=function(A){var t=A.fps,e=void 0===t?null:t,n=A.effect,s=void 0===n?1:n,i=A.displacement,l=A.slideSpeed,r=void 0===l?1:l,a=A.custom,m=void 0===a?null:a,u=A.containerRef;if(m)return new d({fps:e,displacementImage:m.displacementImage,duration:m.duration,easing:m.easing,uniforms:m.uniforms,fragment:m.fragment,containerRef:u});switch(s){case 1:return T({fps:e,displacement:i,slideSpeed:r,containerRef:u});case 2:return function(A){var t=A.fps,e=A.displacement,n=A.slideSpeed,s=A.containerRef;return new d({fps:t,displacementImage:e,duration:n,easing:"easeOut",containerRef:s,uniforms:{width:{value:.5,type:"f",min:0,max:10}},fragment:"\n\t\tuniform float time;\n\t\tuniform float progress;\n\t\tuniform sampler2D texture1;\n\t\tuniform sampler2D texture2;\n\t\tuniform vec4 resolution;\n\n\t\tvarying vec2 vUv;\n\t\tvarying vec4 vPosition;\n\n\t\tvoid main()\t{\n\t\t\tvec2 newUV = (vUv - vec2(0.5))*resolution.zw + vec2(0.5);\n\t\t\tvec2 p = newUV;\n\t\t\tfloat x = progress;\n\t\t\tx = smoothstep(.0,1.0,(x*2.0+p.y-1.0));\n\t\t\tvec4 f = mix(\n\t\t\t\ttexture2D(texture1, (p-.5)*(1.-x)+.5), \n\t\t\t\ttexture2D(texture2, (p-.5)*x+.5), \n\t\t\t\tx);\n\t\t\tgl_FragColor = f;\n\t\t\t\n\t\t\t// gl_FragColor = texture2D(texture1, vUv);\n\t\t\t// gl_FragColor = texture2D(texture2,fract(vUv + vUv + vUv));\n\t\t\t// gl_FragColor = texture2D(texture1, vUv - vUv * vec2(1.,0) * progress * 0.5);\n\t\t\t// gl_FragColor = texture2D(texture1, vUv - fract(vUv * vec2(70.,0.)) * progress * 0.1 );\n\t\t}\n\t"})}({fps:e,displacement:i,slideSpeed:r,containerRef:u});case 3:return function(A){var t=A.fps,e=A.displacement,n=A.slideSpeed,s=A.containerRef;return new d({fps:t,displacementImage:e,duration:n,easing:"easeOut",containerRef:s,uniforms:{radius:{value:.9,type:"f",min:.1,max:2},width:{value:.35,type:"f",min:0,max:1}},fragment:"\n\t\tuniform float time;\n\t\tuniform float progress;\n\t\tuniform float width;\n\t\tuniform float scaleX;\n\t\tuniform float scaleY;\n\t\tuniform float transition;\n\t\tuniform float radius;\n\t\tuniform float swipe;\n\t\tuniform sampler2D texture1;\n\t\tuniform sampler2D texture2;\n\t\tuniform sampler2D displacement;\n\t\tuniform vec4 resolution;\n\n\t\tvarying vec2 vUv;\n\t\tvarying vec4 vPosition;\n\n\t\tfloat parabola( float x, float k ) {\n\t\t return pow( 4. * x * ( 1. - x ), k );\n\t\t}\n\n\t\tvoid main()\t{\n\t\t vec2 newUV = (vUv - vec2(0.5))*resolution.zw + vec2(0.5);\n\t\t vec2 p = newUV;\n\t\t vec2 start = vec2(0.5,0.5);\n\t\t vec2 aspect = resolution.zw;\n\n\t\t vec2 uv = newUV;\n\t\t float dt = parabola(progress, 1.);\n\t\t vec4 noise = texture2D(displacement, fract(vUv+time*0.04));\n\t\t float prog = progress*0.66 + noise.g * 0.04;\n\t\t float circ = 1. - smoothstep(-width, 0.0, radius * distance(start*aspect, uv*aspect) - prog*(1.+width));\n\t\t float intpl = pow(abs(circ), 1.);\n\t\t vec4 t1 = texture2D( texture1, (uv - 0.5) * (1.0 - intpl) + 0.5 ) ;\n\t\t vec4 t2 = texture2D( texture2, (uv - 0.5) * intpl + 0.5 );\n\t\t gl_FragColor = mix( t1, t2, intpl );\n\t\t}\n\t"})}({fps:e,displacement:i,slideSpeed:r,containerRef:u});case 4:return function(A){var t=A.fps,e=A.displacement,n=A.slideSpeed,s=A.containerRef;return new d({fps:t,displacementImage:e,duration:n,containerRef:s,easing:"easeOut",uniforms:{},fragment:"\n\t\tuniform float time;\n\t\tuniform float progress;\n\t\tuniform float width;\n\t\tuniform float scaleX;\n\t\tuniform float scaleY;\n\t\tuniform float transition;\n\t\tuniform float radius;\n\t\tuniform float swipe;\n\t\tuniform sampler2D texture1;\n\t\tuniform sampler2D texture2;\n\t\tuniform sampler2D displacement;\n\t\tuniform vec4 resolution;\n\n\t\tvarying vec2 vUv;\n\t\tvarying vec4 vPosition;\n\n\t\tvec2 mirrored(vec2 v) {\n\t\t\tvec2 m = mod(v,2.);\n\t\t\treturn mix(m,2.0 - m, step(1.0 ,m));\n\t\t}\n\n\t\tvoid main()\t{\n\t\t vec2 newUV = (vUv - vec2(0.5))*resolution.zw + vec2(0.5);\n\t\t vec4 noise = texture2D(displacement, mirrored(vUv+time*0.04));\n\t\t // float prog = 0.6*progress + 0.2 + noise.g * 0.06;\n\t\t float prog = progress*0.8 -0.05 + noise.g * 0.06;\n\t\t float intpl = pow(abs(smoothstep(0., 1., (prog*2. - newUV.x + 0.5))), 10.);\n\t\t \n\t\t vec4 t1 = texture2D( texture1, (newUV - 0.5) * (1.0 - intpl) + 0.5 ) ;\n\t\t vec4 t2 = texture2D( texture2, (newUV - 0.5) * intpl + 0.5 );\n\t\t gl_FragColor = mix(t1, t2, intpl );\n\t\t}\n\t"})}({fps:e,displacement:i,slideSpeed:r,containerRef:u});case 5:return function(A){var t=A.fps,e=A.displacement,n=A.slideSpeed,s=A.containerRef;return new d({fps:t,displacementImage:e,duration:n,containerRef:s,uniforms:{intensity:{value:.3,type:"f",min:0,max:2}},fragment:"\n\t\tuniform float time;\n\t\tuniform float progress;\n\t\tuniform float width;\n\t\tuniform float scaleX;\n\t\tuniform float scaleY;\n\t\tuniform float transition;\n\t\tuniform float radius;\n\t\tuniform float intensity;\n\t\tuniform sampler2D texture1;\n\t\tuniform sampler2D texture2;\n\t\tuniform sampler2D displacement;\n\t\tuniform vec4 resolution;\n\t\tvarying vec2 vUv;\n\n\t\tvoid main()\t{\n\t\t vec2 newUV = (vUv - vec2(0.5))*resolution.zw + vec2(0.5);\n\n\t\t\tvec4 d1 = texture2D(texture1, newUV);\n\t\t\tvec4 d2 = texture2D(texture2, newUV);\n\n\t\t\tfloat displace1 = (d1.r + d1.g + d1.b)*0.33;\n\t\t\tfloat displace2 = (d2.r + d2.g + d2.b)*0.33;\n\t\t\t\n\t\t\tvec4 t1 = texture2D(texture1, vec2(newUV.x, newUV.y + progress * (displace2 * intensity)));\n\t\t\tvec4 t2 = texture2D(texture2, vec2(newUV.x, newUV.y + (1.0 - progress) * (displace1 * intensity)));\n\n\t\t\tgl_FragColor = mix(t1, t2, progress);\n\n\t\t}\n\n\t"})}({fps:e,displacement:i,slideSpeed:r,containerRef:u});case 6:return function(A){var t=A.fps,e=A.displacement,n=A.slideSpeed,s=A.containerRef;return new d({fps:t,displacementImage:e,duration:n,containerRef:s,uniforms:{intensity:{value:1,type:"f",min:0,max:3}},fragment:"\n\t\tuniform float time;\n\t\tuniform float progress;\n\t\tuniform float intensity;\n\t\tuniform float width;\n\t\tuniform float scaleX;\n\t\tuniform float scaleY;\n\t\tuniform float transition;\n\t\tuniform float radius;\n\t\tuniform float swipe;\n\t\tuniform sampler2D texture1;\n\t\tuniform sampler2D texture2;\n\t\tuniform sampler2D displacement;\n\t\tuniform vec4 resolution;\n\t\tvarying vec2 vUv;\n\t\tmat2 getRotM(float angle) {\n\t\t float s = sin(angle);\n\t\t float c = cos(angle);\n\t\t return mat2(c, -s, s, c);\n\t\t}\n\t\tconst float PI = 3.1415;\n\t\tconst float angle1 = PI *0.25;\n\t\tconst float angle2 = -PI *0.75;\n\n\n\t\tvoid main()\t{\n\t\t\tvec2 newUV = (vUv - vec2(0.5))*resolution.zw + vec2(0.5);\n\n\t\t\tvec4 disp = texture2D(displacement, newUV);\n\t\t\tvec2 dispVec = vec2(disp.r, disp.g);\n\n\t\t\tvec2 distortedPosition1 = newUV + getRotM(angle1) * dispVec * intensity * progress;\n\t\t\tvec4 t1 = texture2D(texture1, distortedPosition1);\n\n\t\t\tvec2 distortedPosition2 = newUV + getRotM(angle2) * dispVec * intensity * (1.0 - progress);\n\t\t\tvec4 t2 = texture2D(texture2, distortedPosition2);\n\n\t\t\tgl_FragColor = mix(t1, t2, progress);\n\t\t}\n\t"})}({fps:e,displacement:i,slideSpeed:r,containerRef:u});case 7:return function(A){var t=A.fps,e=A.displacement,n=A.slideSpeed,s=A.containerRef;return new d({fps:t,displacementImage:e,duration:n,containerRef:s,uniforms:{intensity:{value:50,type:"f",min:1,max:100}},fragment:"\n\t\tuniform float time;\n\t\tuniform float progress;\n\t\tuniform float intensity;\n\t\tuniform float width;\n\t\tuniform float scaleX;\n\t\tuniform float scaleY;\n\t\tuniform float transition;\n\t\tuniform float radius;\n\t\tuniform float swipe;\n\t\tuniform sampler2D texture1;\n\t\tuniform sampler2D texture2;\n\t\tuniform sampler2D displacement;\n\t\tuniform vec4 resolution;\n\t\tvarying vec2 vUv;\n\t\tmat2 rotate(float a) {\n\t\t\tfloat s = sin(a);\n\t\t\tfloat c = cos(a);\n\t\t\treturn mat2(c, -s, s, c);\n\t\t}\n\t\tconst float PI = 3.1415;\n\t\tconst float angle1 = PI *0.25;\n\t\tconst float angle2 = -PI *0.75;\n\n\n\t\tvoid main()\t{\n\t\t\tvec2 newUV = (vUv - vec2(0.5))*resolution.zw + vec2(0.5);\n\n\t\t\tvec2 uvDivided = fract(newUV*vec2(intensity,1.));\n\n\t\t\tvec2 uvDisplaced1 = newUV + rotate(3.1415926/4.)*uvDivided*progress*0.1;\n\t\t\tvec2 uvDisplaced2 = newUV + rotate(3.1415926/4.)*uvDivided*(1. - progress)*0.1;\n\n\t\t\tvec4 t1 = texture2D(texture1,uvDisplaced1);\n\t\t\tvec4 t2 = texture2D(texture2,uvDisplaced2);\n\n\t\t\tgl_FragColor = mix(t1, t2, progress);\n\n\t\t}\n\t"})}({fps:e,displacement:i,slideSpeed:r,containerRef:u});case 8:return function(A){var t=A.fps,e=A.displacement,n=A.slideSpeed,s=A.containerRef;return new d({fps:t,displacementImage:e,duration:n,containerRef:s,uniforms:{intensity:{value:50,type:"f",min:1,max:100}},fragment:"\n\t\tuniform float time;\n\t\tuniform float progress;\n\t\tuniform float intensity;\n\t\tuniform float width;\n\t\tuniform float scaleX;\n\t\tuniform float scaleY;\n\t\tuniform float transition;\n\t\tuniform float radius;\n\t\tuniform float swipe;\n\t\tuniform sampler2D texture1;\n\t\tuniform sampler2D texture2;\n\t\tuniform sampler2D displacement;\n\t\tuniform vec4 resolution;\n\t\tvarying vec2 vUv;\n\t\tmat2 rotate(float a) {\n\t\t\tfloat s = sin(a);\n\t\t\tfloat c = cos(a);\n\t\t\treturn mat2(c, -s, s, c);\n\t\t}\n\t\tconst float PI = 3.1415;\n\t\tconst float angle1 = PI *0.25;\n\t\tconst float angle2 = -PI *0.75;\n\n\t\tconst float noiseSeed = 2.;\n\n\t\tfloat random() { \n\t\t\treturn fract(sin(noiseSeed + dot(gl_FragCoord.xy / resolution.xy / 10.0, vec2(12.9898, 4.1414))) * 43758.5453);\n\t\t}\n\n\t\tfloat hash(float n) { return fract(sin(n) * 1e4); }\n\t\tfloat hash(vec2 p) { return fract(1e4 * sin(17.0 * p.x + p.y * 0.1) * (0.1 + abs(sin(p.y * 13.0 + p.x)))); }\n\n\t\tfloat hnoise(vec2 x) {\n\t\t\tvec2 i = floor(x);\n\t\t\tvec2 f = fract(x);\n\n\t\t\tfloat a = hash(i);\n\t\t\tfloat b = hash(i + vec2(1.0, 0.0));\n\t\t\tfloat c = hash(i + vec2(0.0, 1.0));\n\t\t\tfloat d = hash(i + vec2(1.0, 1.0));\n\n\t\t\tvec2 u = f * f * (3.0 - 2.0 * f);\n\t\t\treturn mix(a, b, u.x) + (c - a) * u.y * (1.0 - u.x) + (d - b) * u.x * u.y;\n\t\t}\n\n\n\t\tvoid main()\t{\n\t\t\tvec2 newUV = (vUv - vec2(0.5))*resolution.zw + vec2(0.5);\n\t\t\t\n\t\t\tfloat hn = hnoise(newUV.xy * resolution.xy / 100.0);\n\n\t\t\tvec2 d = vec2(0.,normalize(vec2(0.5,0.5) - newUV.xy).y);\n\n\t\t\tvec2 uv1 = newUV + d * progress / 5.0 * (1.0 + hn / 2.0);\n\t\t\tvec2 uv2 = newUV - d * (1.0 - progress) / 5.0 * (1.0 + hn / 2.0);\n\n\t\t\tvec4 t1 = texture2D(texture1,uv1);\n\t\t\tvec4 t2 = texture2D(texture2,uv2);\n\n\t\t\tgl_FragColor = mix(t1, t2, progress);\n\t\t}\n\t"})}({fps:e,displacement:i,slideSpeed:r,containerRef:u});default:return T({fps:e,displacement:i,slideSpeed:r,containerRef:u})}};var L=function(t){Z(n,A.Component);var e=q(n);function n(A){var t,s,i,l;return y(this,n),S(k(t=e.call(this,A)),"handleScroll",(s=function(A){var e=t.sliderRef,n=e.isSliding,s=e.scrollToSlide,i=e.slideNext,l=e.slidePrevious;!n&&s&&(A.preventDefault(),A.stopPropagation(),t.scrollDirection=function(A){var t=null,e=!1;return A||window.event,A.wheelDelta?t=A.wheelDelta/60:A.detail&&(t=-A.detail/2),null!==t&&(e=t>0?"up":"down"),e}(A),"down"===t.scrollDirection?i():"up"===t.scrollDirection&&l())},i=1500,function(){var A=this,t=arguments,e=function(){l=!1};l||(s.apply(A,t),l=!0,setTimeout(e,i))})),t.sliderRef=t.props.sliderRef,t.scrollDirection=null,t}return p(n,[{key:"componentDidMount",value:function(){"undefined"!=typeof window&&(navigator.userAgent.indexOf("Firefox")<0&&document.addEventListener("wheel",this.handleScroll,{passive:!1}),document.addEventListener("DOMMouseScroll",this.handleScroll,{passive:!1}))}},{key:"shouldComponentUpdate",value:function(){return!1}},{key:"componentWillUnmount",value:function(){document.removeEventListener("wheel",this.handleScroll),document.removeEventListener("DOMMouseScroll",this.handleScroll)}},{key:"render",value:function(){return this.props.children}}]),n}();!function(A,t){void 0===t&&(t={});var e=t.insertAt;if(A&&"undefined"!=typeof document){var n=document.head||document.getElementsByTagName("head")[0],s=document.createElement("style");s.type="text/css","top"===e&&n.firstChild?n.insertBefore(s,n.firstChild):n.appendChild(s),s.styleSheet?s.styleSheet.cssText=A:s.appendChild(document.createTextNode(A))}}(".webGlCanvasWrapper{width:100%;height:100%}");var U=function(t){Z(n,A.Component);var 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0+ZMnyxRfJIYZDguu66MOGlRRRe2rHjyzylBBFxyzLly5bbb7LLMMOHJPMmGmlRSz55l+nBmu68EMGa8Fl9VV96TbTTSSSVdSq776i7uxbFsuzvvrrrqOOL22/wAzDCSQSJrg4ggg4o4g4ppWLLly4suTJkMFCDLllxYpZ5kQQRUcXVtnPHHEBEEBABEHFKxRRYssspouta0EKUVEafJhoQQRUUtnJGsaTpzVddNlKLLK6VVdeLFixVKrqLq1VW5ZYpszZmzNkZZQ/OiiijmGTyxSzyGHnyQ5rutBFlxxRS+2qrFOePzutjZNmP5cttvy5bkw4clNOTPPJDDJkspszzmnmCAkTXmuEkiHJly4vlTbaVVSqtqrxXrrrrutNOrqPvvrqIuOPr755CQQQABDzzxBDzzz55YosWWWLFcmTDky48eOLLlilly/DQoo44pZkkPH5zXNcEB1jWdcFKiiiiiNNPPF1rW9a1oIqIo2exFBFllGyEkaxrOrNV1o2WUoovtbE00kkkkkquouqkkquqktl2Y8ZYQuvjii67r444ppRp5kkk88kFCLLLKKNii9tspgg4Q2HbNuPLlxZb7ly5JJMmSnBhkMMJEMmTDTkkPHEEEBOuaoISSZJlixY603VVaqqqqqst677rrTq9t77ji66jjjilmSQwkAEHWNZEPkMMPny5flxYsssWK2/JksVSrx4suWWKXLPDDYooijTThME1zXNc1zWdZ1nXwi4oooijTZ5Dwtb1sMsooqKLJTSiiwhRgIAAIgoossyWKP9FtW27LsTTTTq6666rTTr/S7E01VKUFrWujnmmijjiiiiijySTznyYUWEKKcliiizzmCHxTZN02zZlvqxfbKeZJkyYJrgMHEMPnyYYYZJzzDDCSDrmuCGQ+WKqtNbElVV1Uqqraq6ndn6d119dW2+yy9eyynDkpwwkg6yAQCIOOIIObltVvy21ZcWOu2yyzJfbVViy55ixSzjjnPZZTTgwQwmCCa5rms6zrgpUcUUspUeLJhySllxxlFRRRTw5LKLrzXmua5rIJJJgwYbLF1Xdi2XZXXUkmnX111Wmtl2V91pVZ5xQggjzzzxRRxxdd1rWhT5JDzTkw0ZrwYbL1KbMMh58uK7M2zdNmLPblzzzzmnySQwHWdZh58y/JhwwwySTmGGEkEHXBgklxVpttvYmquuqqlbbXdiarj7rqilyzyZPsw4ZJMOCADXNcAOsgQQfn+fFKiy33LltVtqrrVXps/i4sWXPLiy5DBwjZkyYcE1wEwwwkiCAmTLHjiilljx25MGTLHGWWXHFFKfMmHBNc1HUdZ1wQGGQ4cl677qTTq6qSSbTq667TTWy7O++rcmSc0qKU88w80UcTX+a1rWtd18Qw8008EAiGyy5MOGGSWWXFXm3N2bYp55zzzDDTTzCSACMl9+X5IYMOGnJIYYSCCTBBDktTWxtpttNVe+22q21OvHiz2L35MlzzyTzyQwySQHWdYAggA1giCGDmmxFBHzFUqqqkmnbZTRknNKxYvqxfCSeUUbPJgms6yIYYYIZJksvVSqiilijx/ISZLEWGNhccURss8mCa5rOo6yIJrgknkkz23rqpW/akmmkuuuq00kquuuvcmS+2rFlnnkkPPH5/nQggta10QE80fn+Z1kSTJhyQkkkmSxYqk1tW3Nkp44444455oggJEMl66l9yZJIcOHDhwyEkkmQwQZLUnsextppOq2/LbVValVjilnzzzySHnmGHmEkyGEHWdZBJgAAJhhkssppQYpuOtVVp1pK3JhwYc8UePLPiy5IZJliNPkgmuCGHDhgw32rvvvr1Yoooo45yTDJljOw7JsiiiKlnMIGsahrOuDBgwWZJ89t9+eU2KpJKuq+9VV11W3Lnssz32Pvuq2/ZhkMPHNKCFCFHEPnME1zXNfHMJJBA1kQ4sdabexvYnnkPPPHH58ccfnBCcmT7PnpwwwmQww4cOGSTJhppsVTex7G1VasWX5ctSSVVtuKIU8yQwQTWdf53XxDzASSTCDrzXmuAkEEmSSZZZzSiii5srqSaddXuSHDhvSrxSyy4sshMme5YjSSCIcNNNNNiqrr7illyxFFFlHmT7cebM2V4pYopTAdY169esAjDhoQQpzy5b78k8sWOu2quu29VrZdnfVy/JkttXXXXXuX5MMMh555oQRRop88khImua/wA/zmsgAazrg8uKtbFsb2JpX5J5zBBxxxxxxzJMmeeeZIYYZJIYZIcODJPhpUf6LY9j2NpW+rFLLFiSSSVVueUoUwEHXNR1HV+V13XxBAQQdc1wGa81ZrhJMkknmec02WIubM23ZXUkquopZZY5s/S7Ks8UWXJIZPvlnJJJkyU00oqOqqr2U2fLKUUWEKPMvy1rYtleXLlyziAaxrGsmSYaUVrWuj4st9lOSYsdddttddtqTT7ji69z3qqr3r32ZM88MEEJ455pRRpoRs8JIIImv8/yms6yCZMtdd2LatqaVt9lmSSQw80888cUcySSQ88wQmHJhw4cmSGCSWWSxd3atr2rbXVb7bcsuOutJp19Sy5TxAQdZ1nVNV1rXRxxAdY1HVNX5wA6prgJMMMPPMPNllimzNubc2Y8WLLnsUXff6fr+36/pF6qs8Jh5888+eGGSSTJhpsUfVuTDhyZPlliKCCNNly1Jp14sWW55CSCCZM96KNGa81YL6sVtlNNxY8eOqpNNppppdRRRddV119Sz5IZJzzCYITDTTSijTYpZCAQQRDBx+cEMmVJNNbFsWyvFbfZTTkhknnnMMPKFPMMMPHEHEkyU04cMMJMk8suW1ratq23Z17/ABcWPNlaST7jilmSQQEADWdcFCFHE1nUNQ0zT+V1fmRrOqayTDDDzzz5ZYsd2XbdubMUURRpz3rv9P1/WbZsOyOrJCYbLPLPMmGGSSSTJksUXWTJJJksvvyxFFFRYqkkkqsWKXJIYSRDkzrrooUZrmvDelVbhppvqrx48dabbTTSq9li7/T9Ls769OHJIYYeOeTBBIeeaEUVFizwkEAmGGGDjnny4qk007suzHiy/JhowwyTPOYYeaaeYCIYYeefMmHBggIJMkmLFirbadfUUueeeXFmzNl2Y6l2WUacMJJIABhksUpgOsateoa5ruta6IRNU1wySSZ555cttV2LYtl248spoQQRUWW1V9xlllxTCSYbl+2eSGGSfPfZZfZZkyZMnyWWXPLFFFjzYm00qrVblMJMMhw3qrqIXXdd10Urq25ZMNi6tePNk2Zsrrqttt+e9d/p+ncUsww4cMJhp55hEEk85pRZceXJCQQSYSYYeaefFHjx48ePHjxZfkw4MEMk8kk5h5pphIgh888svyQwQEEwyTLVXXWmlbZThyffLjuy7MePHlpoowQww4YIcny5ZzABr1jWRDyghwDrmuGyy9RdVJVVt7FsTrxynmmhBhlx4rb7KbEUEMEMxYr7Lnnhhk+e+yzJ8mGSTJknmSyyzLFHHm27U2lVVVVkkkkyfPevcmDBda10IqL25fkz2W1VY82zZHHFFLlly1KvvuI04cOHDhwwnznmEESZ554ozsLlhJIghkhJMPFPNijjjjjjjx4pZ5IYJrhPPkkkkPNFEJMPPmeXLMkM1zXBDkz321JpppW/Jhw5M99tVadddebIoZrggw5KaKabPnnEEAGsEyT5ZR+Z1gmSxddx/pdi2LYtq2NuvFFLPPKUWdh2R4svyZMlN15rwZMtVXyZLMkJMy/PJJkySQmSSSTyzJSjcRZ2Tdm2uq21VVRRRRSy/PckMME1wYbFF1177Mn1Yq7szZHEUVLltqSSXUpwww4cOGGDDPOeYCTJPly4psjPMBJgw4cMJh8pssURZZZZ2TZiilPMJIOsmeeZMmGSU08kw88+WXPJCQQRDkyX21JJp1YpZ5JJJltVSTSTx48UpgJGHJYigghTZhkMEBAkyZMmSQwQQ+9d913Zd13Lct13XbXUqsuWWZcsc2TZHFLOYfJDNc14LEkrbnsswwyTLPPPJkswwyGGGGyxZaUEbc2Tbm7NscUUWW29dxxlle++zJhhgghyWWX332WZJ5YosWPHFEUXHUq00rZRgJMkw4cOHBhySGGGGT57bVa8U5hhkOHDhw5MuXLlliKLLOybM2YpZZzCSCIfly5MOHJcskk888pss8kkMEEOT57alasURoo45kkuLLakkrbGXLOYYZJZZZSghRTghkMkyWWWZJJJM96rr7ruxbVuW9b1uu2bf07qtvyyyyxRnYWEKOOIICDDSu66qvZThwYZJnny57KaMMkhh5sWO2xFh9u7c2zaWUVFFFlvXcZ2HZNnfURQowU4bLMmTL8mGGeWOOPHixRFzbmytJ1penNc1kmTmQ4acGCSSQySeXLltVVqy/JkyZMOCinJfbl+eUo7JsmybI4jZzAQQTJPluTDkssvsyffOaaOYYSRDJk+XFVc8po/O67r455sWLFVVfijlkkknyWZMNF10UYIJJ8mSnDk+Vd3Zdt2/r+l2XYtj2Lbdt2/rNk2fp31788poQYet61rWv8AOa5rmuDnOu++vfZThwYf6vyYMEEMJh5UePL8iOybK3dmbY4iiy48uXLe5sO2bZsmybAwghTThyYZJZhwYZ5Y5sx48WeU7ZuzbWk66pRmua4ZJDDIYIIJMMkk+Wq2235ct96ilNOHBTZ8uX7aq82TYdgYQomua5rghk+X5Mllme+xRRTJIeKPzmuA6yIZM9tVVyZJx+d13XddFKiiiiinxZsy5MmT7IZkwZrwZrmsmSeeQyTDZak7suxbbs/T9LtuxbG2q6+4444oopZkPF1rWta1vUtS1XV+cEHNiy3rqX5MOHBTZ98ss8kE1zWQCYbFjiKNlzrv9E2tlWUo7Jsx5cuK1dzZNh2TYXretCjBBDJJMuXDgw5IsebK8eWeKbZvzddiaq9Oa814MOGScwgAAEnDk+2222/LVbauoijTTSgjcuW1VVJKrEXreta7rmua/wA+IfLL88yU2W2rsso05JDx+f5zWdcHNy3qpW54YSRNd13XdaCKiiKLLl+Ku35LLMkMkyQTXNc1zXDJPIYOLM6rbWy7Lsr7uy7btuyp1WrqKOOKKI0YZDxda1rU9S1rXdd10c+KPFlvspySSYcFNmTPOeKeYQdZ1kGGxZcURRRUVqrWxbErbjzZmyOWXHivUUccZetarrzXNcBJh8uX4YMHxZsrrxSzFm3N+b82477ME1zXgwwwmA6xrGsiE4cny1Wq3LlqSVVXURQRspoovqSadddVzyxFmj85rg4p58uX+PZYqkuiwwhThhMH5zXD5cVSq698gOsayJruta0GXFEUUdkcstVVt9lOHJJJPIQNY1nXNcMh4hhpUuWptp1191rZdn6d9KvFau4444zRRghknNC1vU9aFFFPPjmzFltsRRsyYcOGmnJIeaeYQNY1kGSxSyylBl46mti23Z31Uq8ZZUU2ZstXUcZQuq6s1ZqmvBhyfLPPCRD8WbI4oostV23fm+bY54YIJrmuAggEHWQRD5MOTLiqt+2pJVVW+xFCinDgw2pNOuvv35cUp/P8/wA+KabLiy/Pbc99tV9lC1rXRgwYZDzlxV1W2WYYAAARBda1sbC4pSjsjxxRY6rfhhhkkhkJA1gACDBCYeZMWLHjqqtttSSVUUUVSrqtUUZYQowYKack5oet62KaaKKXNkcWWyhBGzJkppowyTyzDAQQTPFFLPPFNk25tWxvYtn6RdVVWqOOPNl2VLuMoXXmmaZqmvBRTZfnkJJJnijjLLjxVXYt13ZsjPJggmua4DrIJJJJnlkyWKq255zYseLLly57KcFFNNFNtdVSq6Kl9zzj8+OKaaVFlyy57knnlilkwZqzXgwYMGTLltxY8WXPRmvBDBCSeENg2DYKaXNkcRRZcUphIIIhJIIGsawCTBmuiz5ctSSVePFly21W3J86rTSuX5MODBgoQRRpyTlHYGUKKKEWdh2FxfDgopsspw5rwSSy/BNcEMMxVW/Vdt3LctrbrjK6q6qSad2XYtia6iF13VmmaZqwYLrw5MmeSTDhkniiiLOw7I8d2XbdmOOWGCA6zrmuCHDTTTcue9d99eycqOLLLLLMkMMNiKCNtddVt9NlyYZDxTTSioopZYsuTDIaKUaeQdU1wYMOGy23Lljji+C66MODBDJKWNg2BFTZmyKIosMIfnNZ1nWRAQNZ1jWdZEMhwUUrpJNOq1YoiosuXLPObiSdfWWckkknDQgighTZVjjNHFCDLOw7I4p5IaEUacMEEGTLlzwTXghmWpVe+1N7dm573ubdURXVVddabWxbVsTXpzXmrNU0zTNcGDNeDJknyYcOT5cWKObJtzZmy7Lsrx45YSCCDrIhyWIosqL3vqquMo5MWbMUs8pRskMOSxFBFVKuq2+zDkyQwzyyyxRxSxRYsshJJ5pRpgGvWRBhw4cnyy5cePF8Oa7rozXBDJlxzYdhZc2RxRRFFa7r/KaprOua5rOsgAazr4+SjDY7sWxtPr3ylBhmyzySxY8WX5LJCSTDJMNNKDDLj6uI0U2KObJszZjyySTDTRRgghhyXLPBNeDDfbixZ7Uns2bNm3Zue5NdRR93ZdlddTWxbVsSswTWdR1HSdU1wQQUoqX5MOGxdVWqu7Ltuy7LsuyvFinJIgmuayDJksRRc2fodkdVUoosqrxS/LFLMli66iDLrSSttmTDhww5LLly4sWKWKKU8wkmc0o8HWdYBBJhhk+XLixYsU8ODNeaprhyZ7aq8ZZZ2FlSmmi67q/Ka5rgggIIAAgpUtNFl7uxNOqI0zlDYWVL9uLFFLMOGEkQyeTJksY2DYXHFL5ZYsdd2XbdlUs+eymjNeCGTJTZnnhghw2ZcUUWJbHs2bNmx7VtTXXXdd2V91VJbFsuy3DBNZ1HUdR1TXgw4aWWXFLMl67/AE/StNvYti2LYtidVWWeSHNc1HWSfL8lij/T9Si+sMOGxWrFiz31VX2LuOKUovuuq/JJhw2WWWX21VVW225TRxDIZJTRwdYA1kQEmZ77lxYssRpME1zVBJkvttxRFhjZr2BCnj8/yuq6uIIICCCBrAhRcWSld111pVS68EkU2TZHlvvuKKPF8MEBJh8+S++lDYGUab7asddd2XZjiiltXRQuua4Ic9lGGSckiGSSeKPHdi2PY9j2Pa9qaq66qqqqrqSd2Y5YZrzXNU1TVNea8FlijLLKKi6qrr/S7VtezZsb2PYtiat+eSHNc1HWTLly57F1110VEcMme9RWuu1dVJddddFFRRd+55Dz5MNllll6qSaSq9yTnnnmSTzmA6xrGsjjnLepZbilNNPEAOs6yZnsvyylB69mvbrev85qmr8rrWuiGGGEkAAjlnZHnUfddVSfQuvBkxZsm3NlV9PylnZFJBBDhyfL8969lKDCKij6td2V114oo8Vq6N15qmsn50aKMJggJMkkuO7LsWxbFsex7Hsexq37cuWq1dWrFiNMImu6rqzXddFKi66iLLLj7rrruy7Fte17G22tidt+yGapqmvJbbitXUXXvUYQpvVXcfaSqtVVv30oqKWWZJJJ5ZkyZPntVaaStuTJknnPMMkkJB1nWRD55cvyZMk4oQp4gA1kSfPZZkzyylDZr2a3q/Kapr/NBlTJkw4cE1knnYds2Yr13XXXXFruqiyrNk2zbFMOTLixxGEw4abL7bb7117EGGXHF1Uq68eLFXXXlz0XVmnNWTLcN15rwQmGQyS4k01sW17dmzZs2bdmxpW55ly1VX3LlyymnkwZqzVmuhFFFS5KaVFH33UnWti2LatiaTTq+T5JCRqOqGy5cdV6i666KCCj7r7j7qVWW/fL8lNilNOTJhyZZ5JMme1Vp11e55MmHJIeefJDAQCObLPPKbJDCYKEaeYSRhz23JkyfxYiwtf5/nwi5sxfJkw4c1zXDLNk2zZFLLaqq6pdd1oKK15tm2I+T5aqsU5kmHDkvttXvXvURQZZUXXSTrrrqTTqxfBmrNN1WW3DmvNeDDkyZM9VaSa2rctr27NmzY2rfZ8uWqq37csssp5kE15rutBFFCyyzJksvXXVSSSTaadaSqxSzDCSCARDk+LHiz2X3qIooObO+vZfcsRp555suXJkyWIouKI2fL896qTTSq9mSeYcMMkh55hJEEOeWU8800wkkyKI08+TDSuupZTkvvuWrFKeebFjx4p5JIYJrmuHLjzZGGEFFituHBgoUf6JbLsxTz7arfkkMkky22377KaEEV3+ndbTTTaSqqqzwTVmq67L7MGDNeClRSy9JKqu7c3Zuu1bE6rc9l6ttVt++WWWX5MODNdFFOHBTZZZZfnvtqqxY8eK2+3Liy5MMBJMMMMksWPF9qqllijOwuL2ZMkhooo4opUsyX32KM7Awjfb89qrrqtyZMnyYYYZJDzBBAYabL5zzzTxBBDltyzz5LF11KbLL177bblllxY8eLLOeYTBBgyW1YoggxsLllnkhwqP9P1uxN2/L8ttV9mGEw83Llv222U00qP9P0mz9E9jbTqtVVyQwZqutFRGjBgpsRRfddSqx5szdm/N2bMWKWZ711arfk+3Lltvspouu68GHDhpsssps+X5bcsWOPFl+WKKWSCCGGDBDMtVddt9qqll67jLLilOGQ80XX+dCDCl+e570WGGVLly1JOr35MllyYYSSTBBBBz5hps++c8Qw3LbfcvyzJfZTTZeu+vfc8suLFXXlzzzzyYaKVF1bcsR2HYWbOeci7/AE/X9f1uyq3222pK3DBDJLLFl++22ymm9/pdn6TZ2m20rbarbMMMOBDYdhYQopRUUc2TZ33Uq7su67825siKKily3223PJPLLlqVXUQWu67rwU0002WWU03Ll+XLix48Us8spR5IIJkmDDktSaaadXVVvvXXURZ2FhCnDJOeOKFr2a2VPJ8uWxB62GVLcVaS6l999lllOCAgkwQc82X4aLLLMkh58y1Zc99+357KbL1V3FFLM9tVVdVWX5L9NFi6ll9uLHmyOWc2XKq7s/T9P1mzvqqqpKrJCTDJlixZcuW++57LFXdl2fpNkaaVty4kl7MOS+xHYdgeta6VGWV13NkffdaWxbluu3FEVHiy5cuXLkkkPlix1W32UXXdV10osooqKWU02Z5ZZYsWLHlnPPF1ocEQSSTDkvSa2Latq2V9dZct677mw7Rs17NbCNMh4/P81r2a9mta+OLFlz0oMMOOtttPuOL32WU0ZrgggJMPPlilkw5LKackzy4suXL/ABctt9lKiqr7jjjj7rqSaVttq6iyZMNlln21JrZXlniixYrVXdn6TZNn6XZX1VkwQkyTLVVbbl+3Leu7sWy7I4466vbVVauoo4+4yywtS12LoorrqKLqu7Fs2Patt2Yoo8dVttvzyQzLirrqy57KbrutBllllllFGnDhyTmhFx4ss4gmv8rqWq64IeYYZPa023sWy7O+ypbVba65sOwbNb1PUteCAkTXda17Bs1rXddCLilyUIM7Jsu1bG0+444vZTRgzXgwQQzzzmlGmE/JTRT88sWXLl+TLbbbbfYo66+45smz9P0/StJVW1KrqI05JMmTJntSSaTVzyxR448dTuyOObP0/TuP3DATJM9qSVttyZ5YsqrWy7O44+7sr6qSdV67/SbZsjKF15quuxdFFRZM9tSrWxPYtleLHdldVtv3ySZbUk0qssyYcFCLOw7DsGwMo0YMOTDklLOyOKc8QHXNd1LUtdMkMPNiqabbad2fpGUV0qklVEVrWq6s05qmsggQXW9ezWwgiiyyiphpUf6XZdidXURRUUQuvBNc1zXBJJPOeKEKfPhwU5M8sWK22++22222+9d1199x/p+n6fp+lVqqSVvpwYcmTJh+WpJJJW57lx482Zsrdcff6fr+s2FGmGCHJlqqVVVXuTPFjxJNOvubP0/T9P0j7TSSq77jLCGDNea6VFEaUVLL6qkkmm2067sWxO3PPPPM96qqSStuWcyHDSo5sOwMIIUYIIZIcOeI7DsKPMJJEFCDKPhkljzZW0020qojTSukkkvZhzXNU0nQdI1gAEjhjYNgZRQYYYQpyWX2qqr3PYioytd1ZrwZrzXBJJJJOaUEKfhwYcnxY60l1711VVVV1VXXX3HH333+k2R9JKq34YMmTJJJ8tVVttty321Y82Ztuy1Rd19xla7rw4cNN9SSSqqqlOT4rsrTadf6TZ+v6dzZH3WklbV7EbruvNeClFllGxRRxdJNNJJppJNbE6s8zzy5bbVVUrb8545yZ71GWFrWta7rzXghkhhyZSxsCHMJIMNLLKFMky3Zdq2NNNNLo002XqpW5MMB1DUNJ0DSNYBBJ5Z2DYHruta3rYet60KfPly/beoo4itV1XXRmvNeCSSSSZ5Yiij5MOGxdptNJe+1VVVV1191p1xxx99V9xx/pXbcskMMMkkkmXLixSyyzLltqrzbdubMsz232UZrmvDkyKKKpW5bbbKbLU1sWxtp13Z+n6fpHH333Vbbb7KbrutBFFlllRRzZNkfdbbTadaSTx4pZZ777arcuXLllPMMHFFPmXPRdd1rWtV13XRhySSQzlDZreuiEkGGlllFG5anse1bE0lVb7KUVF1bfhIGsateoaRoGk6ySIZ4psL1rUta1sMsMMU0+eWKXLbauoohdS1LWta13VdeHJkyfxYijTJM6uy7btWxK3Pbbbakk7s/T9E6444+6q+++/07i+SEmGSSSZcsURpppsuK2qu7M2Y4jZcueE6zrIkzrubI+rlxZfkyXutvY9jaSTr77jjmzvvrq1ZfkhgwIMssoouP9P0O2bP0uxbHsexbK6rVilNixXrqq25Z5zxx+c1kcUUU2X4cF13XdV1ZrwYMOSQkw0sMIcEgyUsoouPEm29i2V4suW2ymlRS55CABrGoatekaRqOuGGS+2ILWtT17CyyiyyjT54sWW2q2+mmnNd1vXs17NS1UUqLqKX7Yij5iS2Xb+vdVvvy4sVSTr/T9Lsr6jmyPqrrvuKKWWYYSTJMmeeeeWKWWKLFittx44yyipZzCSDrhz2quMuPq5ZZZlV2LYtjexOqq229dzZNk2Rxde2eSEkySlBlllx/pdv6nbNs23atr2vYn11Liiix1W3rr37DDxxBBxQg4svyYLrurNU1TXBBhwYSRBQyyhwQZMuOKLNmbK6668eKKKLLkpsssyGEgawNY1DUNQ1HVNcMzqKZzSxsOwssuOPLLLLirVVStsw4cOGh69mp6FpQUUcRps/ixRYq03X3H117Llx1ppJKv9P077jmybI+6u4ijTThgJMkkyZM88sWK22qquq3LixRFhhGmGGEEzLUqoiijflixVJNbFsTSVWLLly5V3EUXFFLM8kJJ58mFFlzZ+t3XdN53HbNt2ratldXvsXtrrqqxZfk+zJJJJIYebHHHlnngmqaZqmqa4IYcGa4JIo45TxB5lqxRzZmzHXixYsUUUUskOT4SSQdY1jWBrOo6jrmua4cuemn4q7suyOOPHjyy4qk03X3Vkhhw5MOa7pzRdVCiNOHDknnPlx1pvY2qu44+opfVWtiaSSSr7667/SbZt/T9O4yihggABMmTJkyfFUkkqkklVbltyylB63ro5hhMme23LPDDDJ8uKuuutV1W23KaUVF8mSxRRFG5MEM5ppyWP8AW7lvu+bxvO6bv1uyq333rqOtNpW5cuTJl+TJkyZMmT4seOI8ccHXrGo6pqzXgwwwQYFFU6s8h5suX4o5tm3NmPHXarViyzniHzwkAaxqGo6yAdc15rzXgyZfhw3pNtNV5smzHiiirTbbSfcUphhhkhmuaZpzWiihRhhhkPNjuxNtttK9RRRRRdJbFsTSaadcXVVfc2Tb+v6dlhC6s1HWCZPPPJM9qTbTTrTqqty5c85pQetCnmTPfcp5ggIhy4qq6667bly55zQiyjz5nssRRUpowSGiim4kti3Ldd02nadp2zZF778t67uy7Krbb8ky/JZZZkssvtqqznj85rOsDWdWas10YYYYbF33VkyZ4opZljO07ZsjmzHlvtyznjinmEjWNesaxrOuayRNea7ropvz3utbE6rVjmyOPFXdiaaaV6KFGGGSSGCa81oMMPWtdGHDJLHdi2LYmklVlvssUUXabWxNvYti2VxxVVVdd/pGUaLqzTNM1yHnmHnzEk00kkk1suz9Ivc8555oQZU+W9SzPOYYYfLLirrTTryzLnkMNKKC10WX7MNKKF15rhPCDDmytNp9xlllllxfLbbUkq6+vfkmX5MOTJJJnvVtuSQwwkkmDNd13XRhyfPfevfZZcuKWeeM7TtOws7DsKly55DDzTzCDrOsawBBzIcGChBFdVVV11VW+2u7M2Y67suyurFi+Si66MOSSGDDSixsGzW9T1oU2WprYtl2VpL22/JksvVabexbG2nX3HHVVV11EUKME1ZpzTmvDnnnnlxJtNOpVptO7JsLKmSQ880ssuXLbfTgyTySSZcuLHXWkrbLLMkk8sRoQZcueSZ6UFruvNeCSU7Dtm3NmPF8mGlFFFFS+222qq1VeyyefLlyU4cmefPbb8mSSSGHDguu6lqopp/n3qKWXLKebFNk2nYdh2FhlTySGHnnmETXNU1wyTzJgooQRXddVVttttVabTrrx48cRRUsmDBgopwwyZKUWWHqep6kEV1U07suy7Kr7/PttSbWxbE1bcue9dVVd9RC68EE15qulakLM999VaaSqqSdddtiKKFOE80qOOOKWfDgw2ZM9ly482XZXbflimTJ8sspU2Ryz5b6brurNd13XTbjzbNs2RFHmSZKacNKi6qqqSVzyGSTzy5cuSmmmzPLL88yYcnyUoo0LUtS1005Pty57KabM85psWbM2TYdhZ2FlGmQyHnjmAnXmq66VF7kw00IqPvvr3LixVNbFsWxJV48URQQZpkMMNFFOTPeoiig9T1PUxsmz9K0ndl2V4p5nn31VJJLYtlWeU02WZarVKc15rzXgwTXdS1IKKqrqtrYkqqqlXjiyYaaLrozyxRRlllS/JhpUUXUstx5suyu37cWXPZZfcuPHilNly305rzXda1oIvtLZmyMLWtd10+TDkyWKKuvvurJIYIYfLly2/JTTT8ss88sw2X3qIooLWtS1oU2WfLi+elGmyeWLHjxzYdh2TZGUOOIYYeOIITBQi4pZkyZKUXH33FF7aq600mnXU6rcsoQetDgyZMFFNi6lllNC1rU9bGybZsmypJ11Snjimyy5aqqqk68uSc0IIqLFcMBEGDNeDBgzWgy+qqk3saVqqtuLHHMmGi68Hy5csRZ2Ry/PfYiopZZbXmzNmLL89tVt9iji6tVURppUXw0ULWtaLmybKljK13Wta1rXR5JM677rr769kMkkh8uLLltspwwwyffPLlyWLrqU00XXdS1vWwjZ8uKLLSggjfVVixxzZmzNmOI3X+f58Qw88ccyTDSijTZ89ijj7/SMuKpJptttPr1VfPKUUEKOcmGhFRSyyzJgzXdaDLmyOPpV1ZZxxQjTSoqqqqq6rkwzlBhlGmAAAkEQTXBDhQZ2R1JJp1JVe5cWLFlkw4Lrovtty4o5smyWZb7KbLMmTLXdmbMWW2+1Kq2+xSy23LKaVHj+GiihBFxlm+UXXdd1LU9S10eXKu+66vZhhMkkky5cWKLLkw4MEkz37css99lOHBgwZruta2ELL7asWKxBhhdW2rFjzZdlds54/O6/wA+IYeeeeYYZDhpsvttUc2fp+s2nadn6J7NmzY9j2XZFKsXyTyxFGmnzyYUUVLKacMODNdKjKNN9WLKeefLLKUXHixYseLLnsoyZYyyhdc1kEEkgggnJkpRUXSTSVSVXuXFiyyySYbrosy/Llx5sjKly3Jhw4cme2rNl2Vqr321K3PJJPnllixY6suTBgwUqKUUYTx+V1XUtT1LUtaCiy3rqWYYCTJ555llKKlnhwYbF7b177nNNPkw4YYIMGDNea6LF1VWkl6KEXFVbarsu27MXyGHiiijiCDniCDiGSZFHFVVV+n6/rNp2nb+r27Nuza9q29hG3LkknNKKNNNOexFFFSmjDJDhRUZQpsy5ZzzZfllimyOKKLFFFLkoRvqlH53V+c1kQEAAkySSSSTLVXVbVbZZlxZcss+HNd12fLly4scZZUvyQwyfPfVdl212331VXJIYOOeebHiqrq+TDgw4aacGaoDB+d1LUta1PVs17BsLiy2U4YCSZJ55555SijT5ksUfXXsswyGiinkwQwwQQQQYV3Xdi2rZXEKaVF1VUrsuzHFPJJPKaeIIOOYOOefMt6jj7qTuy7f1m07Ds/V7du3ZtW2soIL3JCeaUUEVFitvRRppwQQzJYoiggipc55sWL7cUcZRUUpRZUw0KXya5quq6prIgOsawCIIIIOfLiqqy1W02Zarfi+TDBgw3225cuLFGWUeZJhyZ55cd23Zjyz4sXw4YZzzBQ5sx1W5TzCYYcMME1zUdZJh4utalqerZr269g2FyyQkEGGSf1cWKWefYoopkhgJHF1rXQSIYYIMGGHIv0uy7VtW39TsGwuKLuuq1Y44p5JJJzzxBDzxzzZZcuK2xR91ppp9zYdh2fq9uza9lfRQQUuGGeU0oMvFVbfTRgw4IMme+xRFBa2EUbJYsWWeZcUZYZRppRZZpkOHATrmu6lr/OAg6zrOua5rOua+KVFixYsWLLhyW1X5c8JJJOS+5cuLFixRFCnyYcOSWLHdmOI002WWeTBgySHlHZNkcs5444hMJJJB1HUQTDIeLrWtjbr269o2himEEQ5Pnvvvz2223LPnnw4YSSCRxda1rXwSSSYIMN6rWxbFsuxbP0OzXs17C+uu+rVXjyzzyZMk55hh55y5cuXLixTJeqqklao5sm27ltexOr0oIIo002fLFNk2Yrcvw5rghwUWKrr2IoPWwwwjbblllnnlKLDDKlijLFEBAAIJFCHEJIB1nXNcEHNKixYsWLFiy5M9tvzznkgmGST5cuXFiy5YjRRzIflqqrxFBBCiinyQwQyTFjmwsXXNc1/nxwSAAQBrGuCEkw80os7DtO07BsCHJw2WWXPfZcttq9++c0ckggEAAcUUIfmQQQRJLF1WklVVV0VrethxVe9dJKq3PPMOHJPIYeectt+XFilly22pW1Wru7btu1bK+uoigiiiiipcV25sxZ5Z4Zrhw4ab11111EWGGGGFLllNPPPNjmyOKWWIoUfmdZBIhlilkgOsgEQQw+XFixYsWLLiy/Ovckh44hkkkzzy5cuLFl+80Uc56klVc5oQuu61rQphJEny24ogtd1/nNf53V+U1jWNZ1nWADrIBHHNKLO2bZsLGzW9dMyWWWX33JfUkrcnzmEj8vxOoAAgAnmmmj85rOs6+LLeuqlVbbb8OC60HH171VVbb/BpssySSy/LFlXXtxRRZbUnXVaqkndl23Z3FFKaUUWUUUV0rszZFLLOSRDJJkvvvvXURYetBBBGzPOaefLiqrxxGmymniCGGEQy4ssME1kGSTzLVVixVVVW5bbbVLMMMh55kmT55cuXLixYst9meU2XEk0vZknN13UtT1rXdc1wyS+/PKaLr/Kavy/H8PxOoajrOs6wNYAg44opZ2nbGUWHreunzIoovntSdWTJkkJ1jVNP4fjNRAAJnlPHE1zWdcNixfPbarbfnkhpRZ2R9VW+/zclKKNmTLbnljxZ7L7cVdSTWyvvpV1pOvuM005MlKKFFNl9teOKWeQkkmSfPfct6iKC1oILXRTk/i4qqqsURUssp5hhhhJMuLPDBNeDJk+W23Fix4sWXFittuTDhw4fly57LL7bbbcuKOXJTkyxY6klbkwwmD81reta7q/On+PPOeZrmuapqmn8Pwmg6TqOs6yABDIeUUdk2zaUaEHreta0bPYjZ8tSq9mTJhgOsa9Z1fl+X5TWQTJ5DBNc1wQ2LFVbbUqqvfnnmRRlzZH3V117ltVXRQopvvzyxlmmZ6qlsTaadcfabTrqXRpow5MmHDBBhyfLix4pTDCSSZP6ssw0XXRdea8FN6r66tWLLlyxRSzzmCa5rg4hkss5JEFFlny25cuLHHEVFFl+cwmHDYoqquoou66uvcuOKQkzLVXVlzmEkkwnlBa1rWtBS/Jk++QkQTWdZ1TV+M0zVNcEBMhw4c8UebM25sKFCDDDDKlmHD8WLLkhkkhzXmqayTzzxxBDzJDBBzzYsddSrrTq66lNkssz2KObP0/X9Jsj7rrrjKFFOTPPPLEVruulY6020klV33XUq8Xw0U4bKcEBBJMk8WLFlnPMhhk+e+5JJzRTIM15rzXgw2K7Ltm2bOrVly5cUUs8gImv8+OefLPIYZDTTZbbcuXFiiKKiilnMHMMyWLuuuOP9O6+upZliNEENxVJW5zBBDIcOSUooosuKefPZTDDCSCDrOqavy/PiGGTJTTfVXdmPEaaWWWWWWUeTJ8sp4gg58k15qzVk+SQw888wkkw82WPNlaTTrrq6iNOHPKbPnXd2/rNs2TZ+t23Z+hQuvNdGGQ+ec0IIM7JszZdiaVVt99qqtWKeGDDksoozXASSZLFFEefPMmS+2+yzDIYaaODNea814LFdi23bNhcddVuXFlnMB1kQ+Wec+WeSSfDTYuuvfblyxRRxSniCDim5V3HVV1H3177MmSc8fnxS48WXPIIOfJJhpuKKIoILXTZbhwQwwkAAazqmq61ro4h5s8OFdVKvEUabHGWWWGEOZJPOePzmuDjmEZqzVhyQkmHnmGEgiChF5suxbK6lVVV6cMEMksUUttSr7jjj7uzuIXXmvBgwSTyZJYoo5sm2bc2Y8uXL9uW3LKeSTJkyYLqzVghMPlillNNl+Syy/JhwySTmiiEQYLFWtj2dlhx1de/LLISIPP6ssmS/JYu++4uvblxYsUp4/ODilR1Lrrqr3qKKWYYYTDzzYo8cRpgg5s8yZMNmXLllC1sMqXJgghJIOsawARBda13Xxzzzz5ntVtiKNNKLD1sMMo2eSSQwTXNfFFHBOuaoISSTJzzCQQRDS5szbdlePFbbfZgghhky4seLFVbfeooquvTgzXgwZrwWXJZfVixzbNubccRppss8pp5555hhkkkE1TVgw5Ply5cuXFll+SnJPPDBJJJnlPJhpXd2JpemlRe5JJ5TzDJly/fc9y/fc99666iily5cWWc888+KO7K7b17lz2U05MMMMny21VYpTxBBSp55zIZJZZ54psx4ojCDrJBAGsawARBQghTZ5zxxTZZ8sRpoutanq2atgZcs8kkOGEw0088EaxrIhhhyfPCSSCcWPNubc2YseKKXJDARDkz21VYo8eW+yyy/JhzXmu68GDDYveourVXmzNs2FBa0EEaeaaeeeYYeYYYSdc14KbLPixZcuWWWZMOHJkhhk+y55JM6uz9O/kw00yGGGHijn7cvz33qXPL8999999lNNy4sWX558uO7K6svyfLL8NGHDDkyWqqq25ZxNc18Iqcw88kw0o/HXVllEAGsAkAA6zrJMPKLKlzyGDhBGmnyynj8/yWp6turdr2lzzzzyYMGSWWcwHWACYZJMmTJDBCfLiru3Ns2FxRRSyQEmSXrrq2xRxxZcmTJkzySQZruujDksUvccXSTrxl61rWta1rWuimyyzPIefIYYCRBgw4cmeKI2X5ZZfhpsspw5Ps/i1OvuKWZMmDBCYIIOKVLevbl+3PZkyy/bbeuvZTZeqklcme9dVNbKrYj5JJYphwYYZM96qqq9yGCa/zoRR588hJhpRUVVWWc8TWdYIIIIIghyfFXXlkhJPDDKlnlnMB1/mtb17de8bgxzzzZgwZM88hJJJMOHJkyYZIYIfiqqrmw7AwiijSSCZlvssueKOMo0cwySSSSHNd13Wioooooouq6rlC1rWta1rU9S1oKWeQww88kkwwkmCGGSeUoo02WLL8lNNNNNl+z5aklVKaabMOCa4YYTBQzsxXqLq3323Jkvt+3LbfZTZZeq6qvfaq+60nb8uXJktqzwwQSfPaqqvZThMEHNCCCPkhMPNijx22yzmEiCEwQQQQ2WKpJK3JDDPHHFLPOeSCOUWdp3Hdr2CnzL8ODDkzyQwyZMlKNlOHJhhyX1YsuKI7BsDKKNBJMnlNnkyZ4oohdd1XXx55PnsouuhFRRdSy+1VezJKEELruta3rYZo4mua+OOISSYCCSQSZPllKCixZfspppsUUUs+Wqqq5MOHDTTggw04Mks2TZHLYo+uuupZ899+WWWeTDktVVVVXXaaXf6Vq21dVexdW4SCZMuVVVdSnDgw5PnKDDNhhMPNjmzHfc88MMkkJBBBMmS9Vp1ezJhw56seKc88wEyXFmzNubZtGwM2XLcODDkyZMOTJnssRRRRRps+2KKWKObCyih+cEEPF13XxDJ5ZRR+d1oI2Z717KLrpRUUXssvttyYcOeUoUUIbBs1rXdc1zXNf5/nxwSSRBAQRD588pRccWX57KabL1EUVL7Ukrkkkkw4cGHDRRgw5cc2TYXLe+++pTZ/EnnllNMMlqVdddf6fpXVXdn6VJJd999xSmAmTPbUrfcmHDhpssySllmwwSSxY82Y/k+eSHDhgIIJPnvVSdfUUspsXVVyzmD8+IctVd2XZmw7BsLiy5MODDkyZMll999iLLLLKFNmT5YosWPGWELr/P84IIPzuu6+OeeaKKbFFFlz3ro0UIqKOKL2KXPPJJkuU00IMPU9V1fnNcFHHHEJIBE1nWRzzT554oyy4pbVEUXH1KabF3XV7JJJ5MkMGHDgzXgw/HjmybI8t66lOHD85hh8uW555aknXWtl2/r+n6XYnX+ndStvXcRRowSZ7bbcvySZMllNGGSUsbBRCZMtVePHLPkyQwwwEEGS5bVUlV1FFEVF117kME13XQosdddUR2DaGEaYTDDD9mS++++xFFBCinJk+XFixYoihdX5fl+X5TXxzRdd18ccU0qLFixZcsvw0UqbJsOwuL3oo2Z5PkyZ5ZZSgtb1rXxzzzzTzAAAQdcEEHFFPy4izsjxVLooqKI02Lu7P07lllmTJDDDDhzXmvDkvqruy7McWWymnDhySSTLiVUvtqSSSSad2fp+ndddfUXtxYr6aaM14Mnz35z5JJJMOHBghnKD1rXxJcVVVWIo+SSGGGCCCG+pJV11VdSxRFS2+nDCSYaGGXHHFKaNmvbreta0OTDJJPkyX333JYihddFFmT5cWLFllPH5/n+f58UU+c8UccUUqKKLFilllnkyWObIywivejTZZ8mSSefPLEUEEfvnPBBAABEHHFKiy/bNk25srtvpppssUf6fpX3EVFEUckMMMmTBRTZammnXjxSzw4cOHJZeqkkqoo61VixVV1Xrrvqq3JfixTw4cFFFnzzJPOYIOOZDBBDJKUEKbFiqt+UoUQQQEkmHDY/0WxOvqqqKKWU2XJgghw5PjmyPHEUeKWdget60KZDJJJPPP6lN13XRRTZ88sUUs8k58s88ss5h4opppRRRYZRUsuWeZ71EUKKL10aUVLLMkkuX+LFGXLMlmQwwAAEQww+KPFl+eXNl3XbXbcmHDnvV2fp311FHGWEKcmHDksoopUVTaaSryzijw4aVF3dn6V1VV/pHijjxYsUsz3r32ZMkyyzySYaKKck88khhgg5p5J1kEyTlFllYsWLLPOaLrmqaprhkmRd/r+t291e2+yymzJksyQw5LFF0k68URppUUZZYYQhMk8k8ssyfLbZRddFFFNNnyxRSzz5bb778hh5RUs8sRRRZZUWWeeWXLkw0UU3uIooo2WWWfL/ABcuLFEbJDDIYQQCIfMuLHilnnizZdubcfyQwyZbVX3HH3HGUaKKbLEVFKaEV2m2lUrchgookmS9V13Z+l2XZdkYRtzZHixYpTTZcvw4ck8ppsyYcGa8Ek85hhhh8885J1kGSTyllllxZc8hh4/Oapqosz2tbLt/SOX3555MOHJkw4YZM67mz9LsqVssssUUcUZZR5kmTJIaabMuW1dB63rQQpRUXtqqy/fVbfepZhkmWKL7cUUc2RyznjilGzDRQi4jTTTTZZTZcvySxRYsUpo5MMMJBBh5suW3FEbMuK7LtzZjzySSfEk6+45sjjKKNFCLiijLKKLmz9LsTSq9mEwUIU/Kkk67suy7KyghfXmzF85oQopp8kOT5ZYsuTDNc1wQzzySSSS57MJBEPyZMsUcZccskhJhgg5RcuWpp1xFSyzPOefJhspw4bL1V33+nfXuWWKKKOLFiilkyZITDQhTSsVt6K1vUtaCKKijqqtuW+2237MOHJfbViy57asWObI5TDzSi4stlCKjOHJkw0U5MOS++5M8RRRs5pphBBBBBh5pUssUWLLbVdl23ZV8mTPbWm6/0mybIyywwyyyyooiyzsmz9f1/XurJCQTLHFLlqSaadVXUpwYb0q8XyTymmiimQ5L7bbcshB1kEyZPkkyZMvw4IZMlllltVdePFOYCIZJJ8WOKPHV8mSxFGzPOefJhw4cli7qqq9llly5cWXFjxYsWKWeSGAk0oIIMuL5M13WtbDKKi6769tv2yznmSZL133Urfly5cWOM0+Zaq67bKUVKYZMmHBhySZL8mTJnKCFPHNHBIIIJknNillix1VJJLYtldueTJnqTTSffcZRRZYZZYZccUUc2fp+v6zadkUwkkmS4oosVdaSt+yGHJfVXi+Sy5ZTTT5M966tyQkHWQZJkyZLLPluCDJnsssvtSSSqlE1nXBz89qquKOOU8+ZKaKcnzynyQ5M677669yZLLL6qraq8WLLLKeYSQSeaaEGNgR8kEFDDLLi6699zzznnjjimz3uvvq25cuLLlxRFRZVWm0rcmHDhyYbLMMOGyz7MmTDJKUKOOLr4IBBJJk8UUssebMdSSS2XZVnnPPlx1p1W57KUUaaUUUUXNk2Rxxx99xhCnBDJMsUceOuvLck88MEk+XFFL869+WKWXLfffZhhgmuCSfOooovfZhw2XJkz3qqq3OPzmua+EVLfbbbVVFFLLMmHBhssvucwyYlX33FLPnsUXVqtqx4sWX5zDCSCZ5ZSixtDHMMksQYZ2TZHFMmSSQw8fn+dCjy22rqL222225bcWPHWk66rfPJDDJTTThyYcllmTJkkhknlPH5/ndf5wAgkwyYsWXLjzZHixVV48sh58sWbMdWXLPkpow4aabFHGXHFFL77KKKKMOT7ZsmzHjjlnk+eGGSfbFFlvssvttxZcuWfJhw4M14Ply3qKKKWWYcNNmSSZbbbkME1zXxSiypfly224sWXPPPJDhssssyTzFUquooipfbeou66rVXXVcmQwQwmTPflxzYUKOOfMNKjjLKNmSSSEwQUIuOKXL8mS+222222qtOutVezJPJDhw004cOTDkyZMkkkMmT5JBB+d13XwQCTD5cWLLlx5sjjiijinkmXLVdmPLly5bbKKLLKafnsppw4cmXLZRRmvBgyZDypszZEUUUac9mDBPLPLiqqtuTJfcuXLPOefJDhwYMF6SS6iNlllNOHDhknNNlnkJJMMPNKLDCNly5ctVVyTzySZLLMmTJfbVVb9lKKitq6r/T9LsTTStw4ZDz5M9999qVZQuu6+OOIIfJhooRpw4cOGeLHjiKKNnkmXLly/LixV1148syYcnyWI4cOGmnDkyQyGGGTJkwwmGD87r/ADIIh5suLFLLHHGUUEGEefLixVV44suW+5MOGymjBkzyEkmQyS5cM1wQQYMEhpceOKUoII2ZMGCSU2LEkrc8k8+2c8cUU+SHDSi+6lbZThyZMOHDhhhkPNF1/nBDJPtlKD1sMqWLFUvZk+eeZKcmT5717cU5h8uSlRVVVV3Zdl2XZdlfuHBhnlme++21e2c8cfn+f5zXNf50cnBRhw4cOG+qrLKEEEKOfPLLLLLFjrrqxGimQzPPhJhw4YYZIYSRBxzkhgJMEHNPJJMPNKKlNNKLKKNCGwMUUqLFiijLLi+nDhw4YIIZCQQRBBzZSTrAIIIIMKjLLiliKCC10QAiSWKPHVfkknnnnnkMH53WhT5MKijj6t9ODDkyZMGDBDDJJOLruvjjzJkzzmlDYNhUWPHVcOT777KcMmW1dS5TzzSpksVVSa2XZ3XXV1LMODDnlll+e2+zJnnPPPPEEH53XdfJgw4YYcnyyzzmha1quq66eaUVLFjrrquc0U8yQ8cccSGCEkmSGAgwUU2TDgghMNNnhhkllNKFFCKKKKKKLKCKjxSylFxxxSzwwwwwEEEkkggia+KeeCNZBBBBEmXFNh2FTmii6rqun8oCZOUdh2RfJkknnPPkJMHCDKNmexRSy+4cOHJkyYcGDDksppnNFFKNmHJPLlmw7C48deXJJk+34cGGZcuTDhzznyxFS3qtN7E6+urbfSjRgw2W5Zct99yZMkhh544hhguta7rhMMMMkmSWU888/ndS1PWxZYosWK7Lsqy5JDSjzCTBx+fPJIhhyZMGa5rkKKlmHBRRkllnkhknnNNFFCDDKKiijijjxynihnZjx4pTAQSSCCCSSSAQRDTTzASCIYIMNl9uObDTB+d1fldV1XVxDDyjsOws+HDkyTznmEmHlRxSmnzySSTzJhpssw4cNKKiiCCOeU0oqeGSXLlruy7K66sshhh5pp8MGH5ZZCYZJ5ZYo4sSrTbT6i6tt6iC102WX1VVWrqI04YRB+f58QwkcLWhRCYcOTJJPOeOIYeUdgYRsWPFjx44jzDJYp5CTJJ5zzCZMlllF13XTbixTw4KKKblnkkyWZ5zTRQgxsLixYseOvFlnPCOybceWc8TWdcB1gAAEEgggk808cQQggmGGxRS44zxNf5/n+f5LWtdHENijOwsUczJkySGGEmSx48uec0cQQQ88zJhw5JJLEWXGUEEEc8UUp5ky2pPY9jadWXJCYIOKKOZDk+ecwwySfLix146kmlV1FFbb7FrWtFSy+qqq2+yjBggB1/nddHMJPNCF1/nBJMOHJkkPHNnxRlll46qqsRQWujny5ZyTJJMk45kkyWWUXWtaK9UUsmDBRTffsyU05JzRSzsmybMdSSadVWeSeLNubccshgmuazrOo6jqOsggkEEnnjijiAgGGSZ7LLMsomuDjjj81reu6+KVix4yhdd18QyGSSQyZcWKeSQ8TXNf58+c8+GGGeW9FllFBBBBS3FKecqTWx7XsbVVWeEkwww800+SSSScwyeZ76q8dddddSq6Ki9y56FrYRsvttxSzyQEHWQSYaKOYTJKaLr/P8AOjyYcOGSZcsvy4o5smzHiy5Zxda1vWjZZZCTJ4TDRT55nspwYLrQszxGnwwQ5M9999z0oU5JYo5szbm3NlaSSVWXPPLjzbmyOWGEwkADWdZ1wQEEEkkwccccQEkyefJkyZJBxzzzxBda1rWgi4sWWUXXdfFPkkkkmXLVlnPMkkPNNnnPPMJklxfDhw00IIIKPr25cSTbex7E6riy54STD5J4sXyZMmT5JMtt99tVdebMddaq6KNly5cNCCCi69ymnkgAAEEyHmmjiGHmjjjihHw4IZ8uXLly5cWbJtjlnPHHCDCNNPMMMMJBFNPllmTDgwZrzXgySlHkkw5711LL7koostqruzNmbc2zZHitxZckksc2FlmyQ4YYIIZJDCSSSSSTzzzzCYcnzzyGEwyTzzySGHlBBhhllTzmlGmzJJJJltttyzzzJksuWeSc8wzJ8s5hMkOGhBFxx99ptNOuq3LlyymEEnnnLUqvZZZZcl9q999VVad2XYm2quiipfb8mDBSo+4p885JAAAAIh5p54muDijnmxYs8ODDfcsuXLbbVjmyM0ccc0qOIo08QQQTWQRTTzZZZMODBgzXgw5ZTzDJlVUZUUssw0uPtJrZdl2ZsOw7CpcuXJky4o5sjlkhw4cGDDhwwwkkkkyffLPJJk+yQwyST+JkyZ5ZShsGwbCp5JYopZ5IZJly/fPPLMijimSSSc8+TJnnMMkkw0osuPv9P1uxNVYsUsszniAgnmxYklV1FEXF111V776k003se1vYnXGWWXH17MNKj/SMo2XJAdZ1gACDnzzmGCDimy5arbkpUUsuXLUkqrVXEPz/AD4psUcRp4mua5rmua4IaKKEbLPDBhzXgwU3558qSq7Ljiili7mybLsTaadebJsjiy5fntSrzZjy54cGDBBDDDDDDDDkss+eeeSZMmTDJJ/HvsssyZPliLOw7Czz5YsWXPJDJObKeeeeebFLYijTIYIKKfJJJJMt9lijOybP0/T9P076uKIqWcwwTXBDYsdaS996mybJsji69966Sbb2bNu3ZsexbK4yzsm07Tsiliij/SMIU5ISBrGs6yT5ZnkkkkniKiiqtvXcZZUvSSaadfVtnH5/ndaCLiiNPBB1zXNfHENNKKKNnkhhwYKUVLPltSSVXUcZ2HYXHX3+l2ratiaSrrx4suW2991O7K7kkwTXBDDDDBDDJJkssyZ58nz2U4ZJnvvXXUpssyZPijOw7AxRTYopZkhhnNPPEHFFNLKOHBghB1/ndaFEMknly33rrubJt/X9f07jKluLFPJDCYOLFjrrt+WpXZNp2nYXL7b701sWx7HtextpVdzZNs2naNhcUXfcYWujBhgIAAOuHLlySTySZPixx48WK1dxllx1rYtidXXUsyHihBBllGnmEgmHnnmG5cURRp5hJMOGmmmy1VVVJJdzZNk2nadk2fp+n6XZdt211JKvHiixVKuPpJ1fJDAdcMOHDhwYYZJ5kssvvvy300U55ct6676KNlmTJ8sZ2B61rWtFRSynmEwzynnnnmmmxFDgnWNYAI4QWu6+OfLiy23rrvv9P1/abZsjLi6VXyYcEMsePFjxSyx47VGWGXF7cuXHdl2XZdl2Y8WW1V/pNo2a9g2Fx9SnBNc14IJrIJhw0r3JIfPkvtSTTqx4vkpR2TZdiaVVvsppw5Jyiyyyij5CSTJnnkly5ZYjTDDJMmGmmlRV11VJJVdxzYdh2TZ33Wti2fp3XUqsUUceO2xdKrLOYSQRDkw000UYZJZnsUUXUvqvputGy2q1V9xGmmzJkyZ4iwta1vXsDNnPHHMkyZ5zz55YpZTR+Z1gayCTDQtd13XTYqqqlX33XXdn6zadp2HYdkdttsooptrx4oijSpszZispoRRRsyxY82ZtzZmyOKKLFUq4xs17NewsqUwHWdZ1gHWdcGGylFSmEw2WZ7UkmlbcUUszqObP0qtttyYaaKb6sUcZRR5hkmeyyzPKaaaUaeZPkw2WKPuvqqpJW3rqIoqLrutNPvvv3LijjmyOKfLnnMEEJJkmTDRRRhyZctq7jjii6t9iDGyOppLqI04cOTJkpsyylFFnYWUfPPPMmGzPLMttuWWc8wkiCAk8UUIIvFVWk06/07TWy7JsO0bTtOwuK25MOCldKrLKUUVNk2RzDTTTRZbVXmzNmbMeKKOPHVbfSg9bCGCAg6zrGsAGDDZZZTRghPNKly2pJVX24sWXLltXc2d9e25LKUUVFVcsRYQpkky2WYck5pppRs8+ezDnvXffXVtqqqt+SnDkvttVVtvUsuXLFHGWUbLnkkMMMJhnmTDgouvBkqqqXcZccfffXR2DYdlaaXspoopw/PSjZlixY8cccs+WWYcPy5bb77l+STDhwYMGSU0o7Jsx47sTSVffaadf6HaNo2DYWX17MOHJfbb8sRRc2TYWbJhw4abFUkq82Zsx4seOvHilmTBdd1XVNZBB1nWdZMkmHJZkwZrmuGeKLFitSqt+qq22qq1Rxxde++ymlFRe54iijT5ly5MOGGeWKKKX7fkyXLfYouqrblyzzyQ4cl9uXLly/JkyX24o4yyip5zJJJ8MPy304M15rwWVV4rVEWX+l2fpH1EWdn6rZ3FEUEEbF16abLaq660qss88ss8Mme23L8999yZMOHBgwKL24s2Ztx47srxVXrpJKvubBsGwbRtOwuI4YZ8sue+2Isssso+GHJhvtVdSuzNsceOuvEUaeZDNc1ZqzVNcEE14KackkkkhB1nXD8WLHjqVVtz2pJKqpJKrqKKLrrqI0002ZJ4sWKKWfPISSSfLFFittttvssuXLkz3333LOeOOZJnvtyyy/PPPnuWKIsM08c8yTPZTkz22YMGDBhstrrtvsUf6XZNk2Rxxzb+v6xxxFhhlzZHEUVFUnsezY9idXvy/ZktvuXLlvXsyZMOGmmlRxVJO7M2TZjx4sWXLUm0+4wzsO0bRsDCGCGSeWLLYpbGWWNhR5kkmTLUkuqnmybMePHllNFFHBAGo6pqzXggw0oUYYYSSQACMlxYsebMdq69qSTSrrTSq6iKi666KFNlGHJLiqtty5fkJB1kQ02KPFlttVXUpvt+c82fPJIJruu6+PM9+XLPIfL888ssRYeu6+KbPffZTTfkgwYMGTPaklVauu+6u5sm2bZs/T9f0mwuMsMbDsmw7DsLLjrezZt2bnuu2OKLq3333q32XFlvsyZLLEUVHGXHWmk7szZjx4sWXLXdiSqjOw7AwtaC1rXdeGeXFXVZTZiLOw7CjzJJntqqvXtzZNkZZRp54uv8AL8prOvWNZ1nXBhw00XXRhwwwkkw5L7asd2V23LUkkkq66rbkyZJlvvppRZQQstqqtttuGEkkwwKKLHjxZctt6KKlwyGlGzmGEmD87ropsvz33JJLLPJPLOaUGFrQUUv2YcNzyQ4MFFlqTTqSS776qquybZum79f0mw7C4yyzsmybDsOw7Ds/S7Nm3bu2bVs/QsuPurqL3+Vlkkk+SyxRxxlzZdi2VptbK66rcuK7FsSVXUYeta6KLruq66birSV+Gm+M7DsLNMn24sXyZccZYYQ4mv8AP8/y/L8pqGvXrAEGHJhwZrwUUYIIZMnz2pLYtlduWpJJJJJVVe5ITDZc99ijLD1oOOtJVWr2YYYYcMktVWIsqKLFbYiyjThy4pzDDCYZ5Siiiosq6llmeU8yeec00oooso0+QwyTJnkkhwoONNuutNOvubP0Wxbbum+b5vm07Cyyyyy4445sm2bv1u3Zs2bG6oioo++4pZkkMHFCNnknn32KKKPu7K67sWxp14suKu7E0lV7KLqzXRRdd1LWgukmrfkw5MU2HYGaebLPPEUefLiiLD1rV+X5fl+c1TV+X5DWASSYcMMEEEGDNeDDk+dVVJtOvFUkkkkmkq+4yjhkix2rrqIoIIOOuq4suSEkmHDhsXXtlLLLKixZ6UUEKb75DBzzJMnyxRx46l1Eacmc0+ZJJZYooiihRRDDz5MmSSZEXGm2ndi2J3Z+n6/qtr2rb+03HcNo2HYdh2FllxxzZ+v7TfN/7LY0rbLFF11EacMMJg4oYR8k/j32KLquutNbFsrSVWLHWtldWX4YJrmvBgwXWgzt/VbE/ZkkhyXFNhZp5pp55QQpps5pQWq6bp/L8/zmua/z/I6yCIYTDDBBDDgwYbL71VXXWkseOtJJpppJJdxha6LirqXfcRQQZ2TZ3FllMBMkkyWLuWfLixxllxS5KaEEVLMMh5syZPlx1111300UYfl+SSZZYopYihRxBzzz5kvvXUXdbada2LZdl2fpdi2rbdncZYY2HZNh2DYdhZcf6XZdv7TdN1211W9dx99SjBDDDJJKWGKfPltXXUUXVVda2J1VVW3HmytNLFLJCQRBgoopRc2/t+kUwyTyZLMuMs088UccULWtdFHHFH5fjdN1XV+cEEE1nUdcEHMJhgw00UUYVF3Wmtlfftx5suytJp3ZWklUaLrQXSuyq2+xFhlzYdhcUszkgmT5771LL7VasUcePL8OFFFFGjDli+TJ8td2V11fDgwZPluSST5YojTQhRxTZ59996996rTSSTTrrrrexbO4ojSjsOw7DsGwMMvu7Lsuz9Ztm39bs7rr7jKOHBBDDkssuKMqXLbUq++u4u60066rc9uXHdl2W5ZTxASCYYaKKb132WKMM8+TJ8URo/PijnmmhBGnnnia/wA7qWpa7r4gIOuaprmvijmEw4aaKKVF33WtifcUtuy7VsTbb2XZdi2J9FBBlx1urL9lKLjLLLKOEkQ+XLeuvY4+6rbXdlaVvyWIooooIqpX2WX2482Zsx4vhoosvySTz5cspooQopsWW+/L89y2pNOpVVZbbUkkl1EUVFGdh2FhhjZHdl2Xbdv6zbNs2/p33X0aKMGDDTZZYiorVjxYqklb7nvXdaVXuXLfbVXdleeeccQQkmTDgwU3L8OChFS/Jk+WU/nxSpZnlxYsueQwww8ULXdf5zWdZ1zXNf50U8ySSTJhQRcffd2LZX3FHXs2bXsbbba2Xbdt2zYWdh2HbNvdty5fkyYcmSlBa7rzXCabFitXXX6TZNnfVTexNW2/PSiiywxs7r6ii9tVeObI89NFFNySGGyy33POaUVFFixWqLLl+eqpJVW23FFFFiqttvRRXXRRRQQYcddad2fpNk2TZNn6d9SnBhwUIooqKKKPtJpVVVXJ8uW9dW55ly321V14p5DDzzJIcmHDhw5M54hmFFxxSzJ8k58sWLLfbbVV88kkkk5pQo4ms6yIebLLPJJJPMlKLj7rrrr7mz9Vu2bdmxvY2m21tu79ptO07ZtO07Jsi9tuSSQkwySDNWaprhlxYsWK1ddRx93Yti2JK25MuexRnYdg2DZHX1HHHXUq7sjlkwUU2YYZJSos9lny4o4osWOqxFZflqqty5flyxRRR4suX4cPzww4aaKLLaqkl1F3Nk2TZHEUKKaaUUUVF13+n6XYnUqrcmT5cVtz35cWLPbbVilnMMPPnkyWU0YMMJg4psmRRllFHJJMtqVVttttuWeQySQww8o0wkQQ+eXLlzySST7LFH33VVXdn7fvdy2rY9jbWxbG9i2fodh2HZNg2BllxW4YTBBDzCBqGsjJbbijixW3qLqu7Lsr9uX7bb1HNh2DYNk2d99zZNndVqxRlHw4KaacOTLixy5Mme+3FjxY8dVlNly4sVvy5cv2xRx4ss85JMkhhkmHBgstxY6r7113HHGUWGEKbKUVHH33+l2/p33Ur99ttt9999tuKWXLlxSzySTyy/JTTgwQQknyyy/IiiihZfaqqqlly5fnnPMMMMMMPKNMJMnly5bfsk/jz51132m2ti23ddy3Latq2PZs2bG2l0UXHGGGUUbMkBAIghhOsagATntvtxY8eKyxdV11SzLl+2q1ddFhjYdk2fp+nccXvylBa7r5mHBTYo+rVKefPMsUcePHi+TJZly4sWW222+5aq66s85hhhhhhhkMOGxdKuq1VVdRSmlFC66MmSxRR9/pXXX111VV777VVbbV1FL8pppppss8n2yyyYYICIIcny4pct9lNCDjrrqqqtss55544ghhhhh5pphkz222335Mk8zzzy4rVX3W00ndl3Lct63rc92za2lbMlliiCCCFGEkgAEQQHWNR1EEw+X5aq66171XVV1LLcssuLFbffYgy5s/WbZsjKiilmQ8XWtV18zDYu445fOeaefOUWdh2RxTJhyZ4oopcuXLffUmmllnkMMMEMMPMMkkvXdSqxWrqI05MNGa814LL71HH+nfffUvtVVfXXVVVqtXUUsuec0III0+fJcsskE1kEw4bF11bcvyZMKmybf1/SurrJOOPz/PjjnmSST5cps96rr6+eeSSeZJ5YsdSruy7EmtjexbVuW9b7vW5bU7cmTJZZTQta13XASAQSYDrOo6prgh5ssWJNNtK1V3Z3X0UV7ly4sWX5c9LOz9f1mw7DsOybDsLNOQ8XWtaHnvXUZRRyTznjihFnYdhZUswyfFFEaaVFnvqTStzySSEmCGHzySTLeuvbjxZbkw02YcF13XSoqq/wBP0/T9P07ii6rrr7j6q9tVV9iiiNOSUoooU02fPbfZgwYcliijji6ts8kzqv8AWbpt/SOU4ZDBB+fFNnyX3rr24sSTuz9IpkknPOe5Plx1ppOv9K29jbex7XuW67rs69yGT5MmHBdd1XVmuCGCAgDWNZ18c+XLixY7srSVqqVXXUURcXXVqqty4st6/T9ZsLLjmybTt17Nb105JSiyjct9lNFGSSQ880qObJsjKlnkkmXLKaUXHLlqqy/ZDCSYefPMme21dSy3HiyzySYcOTDgopvVdff6TZNkcUUVVVXXUXXvvtty57KUKKc8RRRRsssuW9dGiimxRddxxxe5J5cVSr7jjNGCCGSSc0qLLnvvXUstrrTd2RhCnJPLLfZT8V2JpppKu7Hs2PY29mzZsWz9I5ZIYebPJDJDmvNOac14IYJrgIIEPNiitqqrzZdlVtVuWWXPYiouu6klfbVVUq+yyiouoy9b1PUtdmXFix4pZ5IYIMMh58sUebM2Y44jTDJ5ly5cuLHjiNixRTPCSSSZPPvvtVvssvqyznjnw4cmHBBktVddfcUUspsvty/xMny5flnkhhgw/LEVFly5YopfhwYKbLnvXURUsstqqqtswwwQQQSZLLLaseX5fkyZMuPNlaqK1rXRT8VS6iK6a2pppVVJN7G9j2PYtiS6KFFOSWWeSHJhzXNM0zVBDNc1zWQSZLLHittxY7suyq255zSpc9ij777qt99VWK2ymlFReym67qWla0Vaqsuc3XdcBBIghnNlxY82Y8WKKc+efLiqtttxFFGlFHiAggiHyz5cuW225Mly55zzTzCSSSCc9tSTrjiNNmHJc855p8kk8s8854ggJMMk8UeO25cUUsw4MNNl9tt6lNNlltVWKckEEEiDDeu44+klfvkkklzZm3NlVK1rWtdNqSSrjOztvYmnVVWmm022tleKYcGCjJnnnPkyYM1TTNM1wQzXNZ1wQyTxR48ttV2XZdmLLfnlijlvf6fpHF7ftxYsXwooqKWU4M1XUtaK6tucwfndX5QQmCHPLLFNmbMeLFLLMt99tWLLnnNKCCFFH5zWQTJ5ZZ55ZZZZZ55JM855554gIIIhy1V1WqIoU2WWWfPKaeYZPLOfJIYIYYTJPHNkcue+3FFMlKKKi6q9lmHDZZfbbnMBBMMJyXqv9Jsmz9K6vffkyX1LYtq2JKILWwy6kmk+zs/RbG0mkkmti2JtJVYjRRCYMGGec885MGappmmaoIJrzXNcOHJfVdmPLlrrrxxRTnz4seOp9xlFS/PLFFFlspppspow4LqWtFde5CTDxxxzCIZJTSpszZHFFixZbb9spo45ppQQpoo4hkmTPLLLOeaKKKOIYYYfM8kJJhk8uWpJK2ymimyymmnJPOeefnnPMMMMMMMMmKbIypcnxRRZ7EWXH33FKcOGyy5fkJMMMme9V3Z+k2TZH33FF7713+i2bHsWxKyhBhl9pNJdR/otiaaTTSTuzHiyymiijiEkQySHmmmQTVNM05qwYc15rwU2X3pJp21Jp1RFlGmm5alsWxK+lFFRSzLLix122YcOSyjBhhzXddNlmGGSTPOeOICTJOVHmzNkcUWLFlyzzznj8/zuuimlFGzPPPPksuX55zzxxdd13XzJ5ZfkpsssXVqqSVtyYcNKiiKFOTJPObLnszzmGGGSGSTyxYoywjz4o8VtijOybO+yjTTkyWX5JCTJ5ntVa2XZ3GVL71FF33XX+lbbTtyYcNCLjqVVt67rTSSddVVeI0fn+dFFH5wQEmGSeU0QAaxqmrNWDDgzXRTZfakmkkklbLFFEaVFFWmnV8lKKKNnxY7sTXpw4cmGCCGSDNdFOSGTJksySHnmGSTx5suyvHjrVVuc88wTXNV1LWtdFKjjy2WZ55fkyfPIYeeJr/K6lrR8y4vksUUXcfSTVvyZMliiKFFNNlnxYvhwyGDjySSZJ5YpYiwhzy5sxZbb2dhccRRopyZLLkkhMnmW1Vpp1xGin5b133+l2fp+labSuTJksUcfdSqtvVVtqqqxYss4uv8AO67ruv8AP85rghJkkk5gms6wAdc14MGDBQiivVWmkkrfcsUUsRcebK66sssyWIIU/FmzNld9NNOGE6yCTCSMFOGSeZKcOSZ5ITJcebK682XYm645ZkPEBE13Wta1oIvNmPLkw5JzTzDzzDDBNZ1HV+K1PW9dOXLPM9il9l6SVv8AEyfJRRRTTTky1W5IYCRBTZnspySlGmlBiinZNuPFitUYZRowQYcmTJJJDCYbLiqSadXUpoRtqtXfdd2Xb+v63Ynb7LF1HHNkfVqtvvtxYqqssp544/O66KPz/PjmSSSSSEiCEkEETXgw4aaUV0k66lbb7MuKU0qbJszZmzFlllllyULXRcWbM2Y/hwUYIJrOskwwmDDgw/Zhw5LLMkkxXYtlebM23a2+4yhTCYIYeaEGNh2TZGaYTDIePz44gms6zqOk6Tp/FatmrZqetGymmzJkyfLbbblvvps+m60EaacmW24YSCTJYpc9NGHLEabFEaVNmbceLHisQQowQEkySGGGSQySxY666rb7KaUVWnXX3Wmtn6/t+v6ddd9/pHHHHH1bbb7aqlbnnPPMPNKPHFFNnkySSEknzDNcBBEMOHJksvtqrxW32WWZZTSsebM2RxGmxS5ZhwUKJJ1xGmQYMGDNcGHJkyYcNFN9yQyZMmTJnqSbbSuy7lurtpouu68EMkyTlHYdhZ2BijmEEiD8/wA+Jrms6hpOk6Zquta3q2atmp61ropp5h5y5bbbVVVEab76UEEEKb7bkhhhw2W1Ys8JEOeWWWLFix3ZduOKMueHBmvNWa4TCSTDD5MNltddeOWeeTJYo7suyuqqtNOv9Jtm39O+/wBJsjiiij76tttqSSqll+z5cuc+WUo+SGGEmT6JqmuGGGHDhkkmXFjx1X2WWWZcuWvHGWUaVFLPOZDhUdSqlNHEJzXmvBgpsUpsppRUUpw5MmTJeq0000mti23bjlMgzXmvBTZcnxRlllhi6/zmsAA6/wAvzmuajqGo6jqmviha3rerZqep6lrQo445suLFbVaupTTevZQgwgipckkkmRRx+3LISCZMuLFXUkmnmzKaHrev84Cdc1ZqghJBEPNmS9VKvFilNNnme1LZdn6d1VJJJV/pNs2TZXXNh2FxxddRe22pJJeyyy+++1Ve578pphkMMmSyzDmu66KYYcOGE82LFjrqtspsstttqxFhBFFRSzmHnz2Lr3OaaeTBBgpsUppsspRRpw4cnz3qtNtOtNp144jRyYMFFNllNluKMssoXX+U0jSNJ0/jdU1HSdJ1HUdfHFNKDD1vW9b1rXdfFNixRRYsWL4cNi69mGihBBFTJJJM6jKl+GAw+XLVWmmklViPH53UtN0/jNRGuaprhJMMNly/Oqqklc8ss55sWOpfpNn6VJKupVRzZNv6V9nYdhcXUUvVSqqtuSyzPbaq+4pcmSU08yTJYpZZkwXXdWDDJCRDPFFjx11W2Ycme1Je5YiyyiijTzDYpc9llmSc08wiGHDZTThyZMlNFOGmy+1V3ZWmmnWmksUppp5MGGmyzDkvqxxxSng6jpOg6Jp/K6ppOmaZqOua+KaaUEGGWEFrQQRUUUUUsUU8kme9SnDhoRQYRRs+XLfRh+TBBJLFirTTTVtyznia/wA7quq6vymsnXNeDDk+W2221VVVWzJPKeaVHNmbKlNk2/pWkklV13+k2d9RljYXFLL7basWX5MNmWpV1xGyzIYfKfPM9ilNllF1ZqzXghJBMnlijzZjquTDky1KqWXLHHFKUUfMuLL8mTDhzzniEw5MllNFOTJJDDhppUXqSdd2Jtp3ZdldVyyyzyQ4abMmT57asWKcwDWNY1HV+dHE1nXNf5zXBQjTQgxsLLKKiiiKKKiiiilPPPl+HDZYiwwwwwyurbkhhyZIIJixY8dadWec08ww880U88wmDBSouqqqkqqqrZkknPNNxXZdt2V2ubJtu1bFsWxbLs/SOOKKWUosqWLr24sWWfDZbVUupThwwyTyzPLLPJkspozVmqa4ICTBDzS5sm3Hi+TJfakqpZcteOWUoqXLbblzySSYcmSeeTDkyYcNFGGGQwyZEUV0k0ndi2LYmndn6dxe3L8mSmnDkz33222/ISQNYAg4p5JJJg45sU85RZ2HYWXFFLKUGUVFFKeeabLPJJnvRQQRZY2Bx+yQwyGGCGYseO7K7c544o5kn25fkMMJw2LvuqqtOvr5IZJJZY67suy7MeO1/pdq2ratt2dxSyymz6aFLLLPlyyy/JYqlVcODBgw5JZZ5JzRxzkozXmqaZqmsiEk88qbJtzbGVLksvVSVssXVqqyylx4rV1nnkkyZMmT7IZJDJIcGDDkkPlz2KLtJptbLsrSSq6li69t9lmHDZYuuurbbZhgIGsAw0U8kgkQ82LF88sZZ2DYWUUaaUWWUUKKOKVLLJJPsoopppQRRphkMMhgw5cVdebMeXJIeKEfJ8ttw4ZJ5Ml666qqTT6llmSnJ8uLHXXmzNmbJsiyq7LsWxbO4jhyZMOHJ8mGmzJk+XLiy5Z8uK3PDBBgwyTymEiC67rpsmCappOk6iIIMOSXHdl2VxlFT57arbLF17bnlLm3NlSilk888kkmT5IYYTD5hwYMNGSWWfJekmtiaqqqttyfJfsw5Mlii6669tyYIIDrghnNNJIJPNKiy32ZcUZ2HYWEKEEVEUEEaKKUVFMkkzyzw4MOTDRRRgw4ckkkOTLjxYseKeEk8IIU5bbbhw5PvvsvtqSVUssURpsvVqTrrx445sOyOpVJJRDDhyZMGHJ8kmHDk+e2qq3+LizyGQ4MEMk85hIgoQRRhB1HSdJ1kQQ4cmK7FsrxYo4pZcttuXLMl+eQ07DuO2KSGSeeeSSSZJIYYZJZhooowU5css+3Hjx4stt9yZJkkPPMkyWWWX32X35MGDBRRTZllhmuGcqOPL8meWI7DsKCCKKKKKKKlliixRS5Mn8eGCHJkwYMFKKNNmSGTLjxRRRHkkmGhBlZbcvw4bLlvvsVSSqyzPeojSo460mlVjxxzZNk2R5asuTBgyfJTTZkySSQ5L11WnV17LlyzySSYM1wyfJDCZLiiNE1gaxpOqa4YSZJix14ooseLLLFLLPKeYZPPJLNk2nYEICZPPkyZJ5IZJIZJZZMFFGDD8sss+XHjjjiiz2ZJJCTBRTZksssvvyWXJTQghRRZbcMEPxZsx5fkySxFllBFFFFFFxxS5cuLFEbMn2SEkwySQw4aWGEUacOT4ojShRxCTDSy48v8Smy+1Vdd11Z5Sst6KKj7/TtNKqpVY8ebJsLCNNEBhyXPTSjThkkmdVV3ZX311F178k8kEEOTJJDJ8tzn8zqOvXr1HVNeCEkyXHjxYo8eOq55TTTzRxxzz5lrzZGFr/Pjy57LLMmSSGSSGT5Z4c13Xgwzyy5fltqqxRllTyQyZIcnyxYs9iiiil+Symmiiiiim/DBhvqrrtyYcmeUsMIIIIsuOOPFily5ZYijZPkhhMkw4YTDJkRQethGmy5ZTRdaFHBMlmzNmPL8t9lliqrqq77iOSKPFeozsj777rTrrSSVeMsPWtf5/l+X5wyfJSghhknmW1VV9e+9RxxS5MkJJMOSSSH5bbMJIOs6yARmvNeDJ8uOvFix1125JDSjTzTxzzTctqVeI0UU2LLkw4cmTJJJkyZPvkwZrwU/Liy222q25SyyjzDJMlli6tVVtiiiiil9z2U0ULWhTZZZTSou6mnbZTTZfKUGEFrYZ2Fx48WWWWWWWKWeeSEyeYcEMk88yUXWggjZZc85pRp5kxZsuzHlz222WLquvuqrqII1XZjy3qMuLqu7E66667biKC1rV+f53XRT59l15qwSTyxYsVqlluW9RlxSnASYTDDJJJ8vwwEEgiGQZrzXgyX21V4qrsrqzwmGlGnnz55YosuK3LPKUVFKYIZJhyZMmSyyz7IMGCmy2qq2225JYyyhTz5ksUXVSSVvssUUUUXssppoutBFRRRRR/p+n6Vqq9FFFS5Ygta1vXs17BsOwuKWU0qXLlyzmEmT5ME1wyT55IYKEEEbMmTLiqy/wAKvHGUbLlz3qtOvvqrooMutp4vkw2KtOuupOvrr3ymi66LLly/x5JrmqDJPLHHHlsstqy5KUaMBBMkMJJ88kzzkkEQyZMmHBgw2LqpVV1p1ZZDJJcUs8y/bFFFituTLiilP5zXxZMOTJfYjTZkySQwYcNltWXLly/J8WKIo2XLnvXfdadXUXssXUc2RxSmmhBBFllRd3Zdv6zbNlStsRZZUuc3Wtb17BtG0bAwjZYoosueecwyfZBgw2ffJJJhoetBGy9VJVW9deqvEUEEVLlypJLqLrr2IubO0lb9mepJ1VJJddSyzPOaVHittzzzJCQdc1wzyxllxTOurb8ODNU1kmSQwGHnyGGCAgkyfJZTgwU3ruqpV11ZZ5zJ5csuXPPPPLFHjqtuS23OYIOEEcmS9dSmmyzJCSSYZk+LFVbfnvVVtiiy2qqv9P1/SuvqKKLrrv8ASbTsDKKKDLLDLjrWy7f1mw7I8uXIiyyjhnCGw7DtOw7BsLiy21Ypzzzz59kkOGlGzJJPPkpWt62VFXXVVV33F7ZTQxsLixVJK32WX57HH3VVb777UkrbbarbLMmGQ8qPHilkPFHkggIIhkljjjLKlvXXswwTVNWHJJARJPOYYJrmua4IZPhoopsXVVVSTqy/JkkPNKl+Sc882ObM2W3+ZJJPFFLM99mTDhppw4ICTD5JirqVvvVVXXVqrqSSad2fp+nffUccffdfcZYYZRRRRRRXdaVXURQUtlmSmi68Ehc2zbmzNk2HadkeK255zzDypfhkkmTDTTk+e++5EHrYffXttqtURUueUs7TsjjxW2/JkyZct6ii69999qqqtttt+nDAYUXjxSnmHlBGQYMGHDky48ePHHHLfTTDBNea8GGGCGSeQkHWdcEHPPlmSilRRdVVVVW3LPhkPNKKy5JJ5Ysebc2Sz555nsvXVSty3JkkyYcOHBRRT/FrTqVXddfXvtSTTSSSSfcUXvvUXdffcspooRRow4cOS+23LLJgwYflnMJImuD47uu6urNk2zYWWbM888k8Ushk+TJDhw2X33rrrovWxsjl9uXFFMliiitd2ZsmyOKWWfJntqvssvvy22qqqqr35fhwTXJFNkUsssmTLEeTBRTYoqmmlbijKPJhwwTXNcEMMMOGSEgEQeeZ55ZcmGlRRde/LlllnkJMPNLLlkkz21V5sLCHPklltXffddVt+SSSEkyTDQggoreqmmkq6++pctqSSVVSSq9llmX577V7MMkMNCCFGCGSfx5TAATD55DBASIb01uW1OrHmybCyyjf4meWU8/JZTkkw2X232qrosMMI33LlilmexRdKvHGWUaabPntquTJ/FqqtVVXXvy/Dmua4YpsLKilmT5ZT4cFi7jrTatyxFa+ITDBNc1kEkyYcMMJBJ5sv8XFMliiiil+eU008wkw82Ms0+W1W23EUFropy1VWrvvvvrJDCYSIObJhoQcfdaabaSVXssvqVVSSTSSVvsssuX+JCSYZJSta1XVNcMz332WZDAQRBxyQRBDMiux7Nr2JW1Y44445f4n8WXPZTRZc9ii9tqq6KC1oIqLr2225b7LL7cWKIsMUUI3Pfbb8kmT5ctVVqqtyZJ5Z4Jrghy4444p5555ly4cOddd91K3JknNFHEJgmvNUEMmTDgwQEGTyyz55YpnvUUUUUUszymjiAmGyxFmhRW335ZTQgisSVVVq666iOGGEkkw2X5MNKj7rTTTSqyZMlqSqqSabSq99iKi99+SGEmeZ6VrWm6sGTPbffZhwwkkmHngknmxVbFtextqq1V48ebMeLLnssvvuW22+xFFRVdx911VeylBhlxx9dW22+yz7ZSigggiy5f48yZ7araqqrbkwwmGnkHXDJ8WOKWc8882X5MPy577cs8khgoo4hhM1zVBkyZMM1wEEmTynnnnxRS5bb1FFGUUbM5444h5psURpccv335cUebK0mkrb77KaKMMEMk8uX5MOS9dVJKq25Mme+2pVJttp1VVdRRRxy/Jhhky5bhzXmm6brsuX5MMMODDkkknkk+JbG9i2VpK22qqvHjjiiy2KLr32223JSi/0uz9P1/X9O/fZYixsGwuKL325fnssueU0oIIsuMqWfPfffarbVVV8mSGGec8ggyfFjxSznnmlSzyZPlnnnnPMJEFCFPMJOs64cmSEgawACTDzzxRzSosWXL/ABKaKKcmeeQw82LFllirxT+Llquy7VsadfVvyYaKMGHDZfbb9mS+++2rFlzzz56qqkm20rbbV1HHGWVLhw4c9ttmGCarqWtG+/JDJDhppsyX2X2pvZsbqqtVtttVWOOOPHlvXfcXtqtuexd3Zdt2/rNs2FlS++xBhllRS+5ct9lllnyxFFxxllGlS3qLqrr24sUs8kMMMk5hAB5suWKKWeSeWKKeSSSc88w88wkkUI0+SA6yCYSSBrGvWAQRBxxxRQiooopZ5nkhw0II2WYZJcVStttqSVuTJPLirWxbVsSXUX8SiiimyxRdfZnttvuLFnkPNmXFVixYsUUWKpVd9xBCzJhw032/DhwYM1XXSpckkOSynDTZ96qWx7NmxKq2222224sePHmzHVbeoooqqvfltVddfcZZYZXvvppRZZcXXtt+TJTZZ8uLHGUUUEXHlsvVXs+WU008mGGSQkAE+WWWKKWeeXLVlmSEw888Qccwgk0qKcyCCCEkgAawANZ1nXNfHH53Wg44iijZ98yUoIo2Yc9SaqqSSqqtyZPix5su1bVsSvsssy22XXdeDDZfYpZ/N/hZc8k8suKqqrFiiijjxW32U4MGHJ8lNl+TDgwZrwU2WZMmSymnDhsvvvSTbbdVVVVVtuequuu7K8eW+yy9VVSz5arbVVFFEUGFF7kspRRUcXXXzyZKbL7aqsURRRZ2FyzLbZhnllnNPMJJJMBBMly5cuWWU82XLllnJJMPkkMNPMJhlilPEJgzXAQQQdc1zWQCIOOOaXHiyxRSzz777EEEKcmVNtVVVJW2/Jkvqruy7btTtvsyZ7V0brwYbFFLMOTJnkPNlmW3L8lqqSSVVtttWLHHHLPJBBBDJMmHJ88mHBgzXgpppsvuSmmmlRdVVJNbE3XXXVVV77Uk06666sX3333JJLixYsWXJZYoigy4opZZTTYovZZZfnsUXttttxYoozsOwqXLnhJPNNnnPEBBBEEMlyqrrLlnnNKPPNHEJMPMMkllMJMNKNPPMgms6yCSIJrzXgw/fLiruyq2q3LLLlvXXUoouum+pJJJVVW2WefPcVd2Xbm2vL8ny2qUZrwWWKU04ZJJDDzSosuW5b1XXUlbbbcuXLEWWKeSRBAYfPJDJPPJDDgzXRhyUqLqWWWKKOPuvtNrYm6+++6uvak000mnVlymnz5MMh5sUUUUs+SymlFxxlFGmyxS++xRRdexRdVVdW23LFNh2FGzmAazroRs8hIOs6zrgh8uKpVdS5555ZRxxRxxDDzzk+eQkw0o0+eEg64IcOCi67roRcUVqSTTSqVWXFitXXssoooRfaSqqtttyyzy/bix5szdm3FPJJ8ueSDBTZZhwYYZJIZJliiiy22qqq225cuecUU00oMIcQk6yDDzzCTJ5zDDIMGDDnsUUccccc2TZNn6V91t7G3V113110mmmmkqss85pps8MMh5RRRUpps8mTJYo44yiipYoouuoo4ovfe/0rq99+qM7CzRAdY1nUtT1ocEgDWdc18eXFVVb8mTPPnnPHHHHHMklPknnkJkliKNnhgwUIooIUIMs7Dsj6VabTTq99tSSt999iCCLmz9K0lbbnnllly/bixZszbNsR58++SHDTTkww4cOSSSfLiijiy22375ZzBNd1rXRQgta1/nAQDrJPPEEMkkMPPJIgyX33rubJsmybJtm2bZt/X9btextK22rvrutNNKq25ZTzzQgj4cEM8pQYRRss58+dRRFBFFRdxx9xxRRS+1XZ+n6Rde/bHGUPzms69eo6lqeparrmsAEmGmxRYsUuTDJJPPJPOeYPzop5hp888kkknyxSzyYaUWWEKKUWWWWXElsTadfXttqSvvvvsooUccfSSWSc2U0005baqsebJsCFFNlyZJJkwUYcmGhCnJknnly4sUUUUue+55zBBBQhRQgta13X+cBAhknnMMMMEEE1wEnJfffau5smzv9Jtm39ru/a7VsTqqqS77/Suuq2/POePz45QZsOCGeeUsuKWWeWXLlvURopsUfcccssyYcmWpJ9xlRde++4sRuv8AKajqGsih61qun8oDDJ8UURUcuTDhkPPPnnkMPCCPPNlnyZMkky5cs8+FFFCjDSijTZTYk9j2NPqX221Ysue+5IcNill6qtmGeU0U0qLFbbixRlha0EVLJJJPJBgsssQQQpszyxRYsUURRUyYZDBBBzSjTTQtd1/l+f5wSTJknkhhJE1zXNfHme++2pV9zZ+n6/r+v6/t+36/pVVUmnX+n6d9W555DDBRRyjsLkgw5Mks2TZiyyyyxRZfkpopUXXURRpyZMMmKtJdRFRSyyy55xNU0zTNU1wc0XVdN1UczJ8uWIssqTBgknPnyQwzxFHzLlvsssyfLly5fly5KLrzXgw4cOHDkyWt7NmxtL2WZcuLFlz2ZJJJJJJltuGGSc0oqKPF9WLLKUGHEaYYebPDhsXRoooopyZYopcuWWMs0wkkkQc2WU0008XXdf5/nR5IZ5kggJB1zXxSpc996rSq7/T9f1/T9P0/T9P0mzqqpOuuvuOKZDzzCTJzRSpsjkhyZMmXNmbMuec0IqKLLkpQRUfcUpppppw56k6r7EUVLMmTJCDrOk6Zpmn8vz/P8/yupamKfJMuWWM7C54MGH5fkkkw5LcUuXFiy5MlNNmXL/FxfBmvNeDBCTDkvVa2PY2lbhyfLixYvkw4ZDDDDZfkhhkkKiijxxS5arb8U2RlHiGHy/JkvXQWumlBBS+rFixfLijlMJJJklllllNPMH53XddCFMJnPJIIIBHKLjxWqu7LsrqSuz9Js77j7r7LjqVSqqq6iKGGQ8+SGQ0IM7CzzDJMmWuvPIYaEGVFFnRZZccZRpssRQUVSSqtvRRRsyQwEaxqOqapq/K67r/PjihhhDnmyzyxTZHPBBh+W5MmTJfbbbbVbl+Symy22+z5cvwXXdd13XTkz3qtbFsTTqyZMny4sWX5IIYYTDyopCTJIZIo48ePFiqqtsstrxGmjzLbauu+4wtaKjDDLitWLFltqq+TDhhkyyzzymmCDi67roQQ4Jh4IABEMuKuupJJ1991pJeyyyy+29Rl9WrLltvpwYKKb8mGE8IMPWtd1wQ+Yq8WeGSWOOOLHisRZcURQpssRQcdSSStvpowYYSDrGvWNZ1wQcU0+ec0ssIU0002WPHjnhhyZ7fkyWWZMttSqt++xFRVVRS+234aEGHrYcddd2LYtiafcUssvtqqvuEkmGGSWU0wwySGGLHjx48WLFitsstqtlNKiqSVXffcYevYdk2DYNgZXtxYsVtqt9mHBhknlnnnnMMMNNFFC1/nARBBCYMlqbaaaSSqqrrqueSfJcttiii9uLFlyQww0orro0YZDSgtb1XXxTZcWLFnkyfFjjx5srvRZRURoRUXUZ2F9Kq23JhzXNcJJA1DWAIOYfFiz3JliiKFFNNNijx4p5JP59iilltSStt+29RzZ+ncUXVVuTDSxsG0bju/W7LsrrTr7Ljji6qVtwwEkkkyTymjnzyQQxVZsx44oooovnttueUovHarfeuoixsO07A9b1suLpV1VK35MGCGSZfskMMPnlllNF1zWRBzzJL2tj2LYkqqqrVV1LJDzZ9uL5MllxSzySSZLLF3EFroszylBlGlRYqqsvyZPixx5szZXbSgijTTY4+4iiorblzyQzXNcBAA1DWSYectVV9lly5YijTZYiy4pTz5JJ5ctqjjjjqStt/hZbV+k2RxR99S5J7EWdp3HfN36XZXXXV1FHHHH1cskBBIghkkk55p8yYcltVeOI0osso2X7J5Y5smzLcuW+9RnYdgYetBlldJNJVe5MMEEky334YTDz5ZfknPE1zXz5lypbFsWyupW1YqlbKcOT5ctlluWcwyfKaaZJM9ii6iC1oI2XFjxYqqlVarb7LLlx482Zsry5MNNNNl6jiKKKi6zzyQzXNc1kDWNYBMksWKpW5Ml+WWUo2WUsMIUU8w+XHUquy44+7b9ky1VJO7JsOyOOOI2TLeo5sm07Ttmz9K666uooooopc8kB1kGGHmSSTmmmyZMltVWLLKVHFEUafIYfFjzbmzFnttttXUQWu68GCmy9Jpt19RGjBh+W2/JDDJPLLLPJIYYOKbLVUkk0qqqrVXVfZTTZakqopc55h5555pp8y232L2UXXgw2LpJ1pttOuq23JZfbXdl2XZjlMhw4abF11EVHGWVL8ME1nWdU1nWQRDMtWPFl+TJZ9spQRssRYQQo58uKuuq9RFSy/PPMqTTbbrmw7JsmyMoU21W3vuMsuPvvuqqKKKKI02fJBNeDJPPJJIeaUafJJiqttyyxxxRFGiAjlR13ZXiy5bbbbhms6yCIMOe1ppp19lCiim+5fkwwwyZ5ZZTzCTDDSi4qkkqqrbV7ak6r6cNl6qSqKFOScww8cU2XLltVXUswzWdcEme1JttvY9i2d99e/Pe602nVllPMkw2LrrqIuOMsIqWUZrzWdZ1HXNcEMky4sUss+SyzPOeUWbLliKCCFNiqTTqy5MNOT5J5cVSTTTbrjLjLKCCL6qVt9NNl67i6q6iiilNNNOTJgzXgssuTDJPLFLPPiVtuWWKI000UQQqOOOOOOLLbbcmA6hrABJktSaa2J1SnBgwU2X35MOHDkyTzzmCCCHmxzZmypJKqrLbctSStlOHJlqquHBgwyGGGGlRYsVSSqiFEAABMy1J7Hsex7G0++++4uqk7srVWKWeeWZLF111LFFKaEVFKM15rmua5rmuCGSXLLLFLlz2WWZMk8UcUvzymhBx400klfkw4cmSSYqq66kklVEUUaKaVFF7bfhyWXrrrqrqKWU4cODDkyYKKabLLKbL7cWXLlXVfXszyxRSniiiixY8ccZZZcWLPZhms6jrIMmWpJNJdTDBBBDJksvuTDhw4cnzyGGCGHyx5tzbWkqrVbcuLHUrZTTZbVbcODBThkMPijxYsVVWem681TWQCZMV2LY222kkquu44ukkqussUs+WX5771LMmTDhw4aaM1zXNc1TXNc1wQySyyxY6rV7LKcmTLVVjxfJPKWdk2Zsx1W3PJDDJJMuLFjx4sWLF8NOHDkpssvvzzJfffeurcmHDhw4cGHJkw0II33qIoqLqpJJO7O44pcuLLPPOaEVFixxxlHYNhZU5JBE15rpsVVVSrxfDhwYIITJ55M8hkkMOTJkkMMMPlxY7tu27LbbVVb7izZjtsRRcddVXppoopyZPixxxYssUsB1HUdZJhkuPNt2Y8eLFiyzzPZerVnkkliinnixffMmGSGGSSSGazrOs6jqOsiCDDky1WpJpuqKU0032qq1YpzDJY5sO07DsKnnkkJJMPllyxRxllFFHmQ4cOTDk/r3333rr2ZJIcOHJkops+SmhFd9RFRd3Zdl2Jp19xllxe5c888sUcUUUURoevZreta/zgJMFCL/AEuzr24op4cODNc1wmHnmGCGGGSSZMMkkmSWXFju27ceKLFbfZfVmzHivUc2TZ331KaaMGGmy+2vHHillPAGo65rhyfLjzZGWGGVKeebLk+XPOecuKWeXFV8k55hhhJJkkhB1nWdZ1HVNcGDDk+KtJJttdRSmmxV19e3LIYfLFGdg2a9mt66OYYSYYfLLLEUWUEEEKOTDDhhhPNme2+y5ct9OGSSSHJkyU0U2ZMlijmyMov9Lsu27v1uxOvuIssuL3PPPLjxxRFFCi61rel6VpuriGQ4VH31FLiiNkhgms6yTBB+c1wcySTJkw4cnyZMuLHXdmbIygi4p89VeOPLeo44uvZhwYIIZM96qVWKWeeckazrgw2X3FGGGGGUVMuXL8k888y5bbcuWq3JCYIJrmua4JJJDAdZBB1zVNeDBhyZ6q6600r7Kacl6rrilzyTyxYsUZ2DZretCmQwyTLLLLLFFEUUEEOISSSQSOEKb9ky5fhw5MkkknyYcFNmT513Nh2HZNn63at13ftN123Z3HFGWVFLM8suKI0IIUXXRQta1PU9aHPmTPepTTkyxSyQHWdZ1wQmD8+ObMmTJkkyWWZPlxVY4ywta1sbAzZltSTrqvvUUUswwTWdZBk+ddW3KaafJCRBDkyffEWXNk2R4rb7bbMk8+rEuurVbnhJBB1zVNU1/nx5IJrOsiCa5rgwYMOS2qqu7Krb7KKb6mn3GUVMny5cuWKMsPW9aHJhknnNNly4sUsppoQogIIIII4QZU8hh8ss8MOHJJJJkkkhw032qvubDsm39LsW17lu/eb/ANv1jLKlNNliKlyymi60KKKEaaUGNgQo588z2YcOS23LIQdZBEEEM8ssvyZJJ5kpp+3LllKD1rWtb17NbCKiqa2vatiVvURQwwkHWATPLl/nmhGmQwQQkiCDixZsuy7LsWxNVVVenDPLPLix5b1lnMIA1jWdc1TX+d1LXQQBrAIgms64IIZM9ttVd2Y8VtiDD7TS6iLLLi6qtuXLiiLLKHEJMPHNKiy/LKaaaEKICCBrGs66GWVJCYeKKOISYYZMmTJJMij7WyuvubDsjrezZsW39Zum6bYywhThz2IoqZ5zxQhRQijZYo44hRRTZfkw5L11khIIIIgwYcmXLlnkhknyYcOe+3LPOaEEEGNg2a2Nk23Y3tW27e+uotd14CBrGsEyW355Z5JJSjTyYCCARNf50KbLsWx7HsbSSVXRpw5M5pseOLPZZkJAAA1jXNc1zX+V1XTNQ1gEkgawAADJlttqrx48eJdlnZ+idXXc2DYdk2d99dW23LiiiP5zWdc18UqKPL88sp5pouvggAazrgpZZRhJh4uu6/zmua4OfMmHJ8t67uy7O++4y4629jaqjmw7Oy9a10ZPpwU2ZJJSgtaDCKNix1ZZTSo8vyWWLrqU4JrIJhhghk+WWZMn8SST+vLFFEWdg2Dad03XctjT7i69Oa5qOsa9Y1kyZfknNPMknllPBIOs6yTDyjsm7N12PY22lUqoiijTklijx4r7KaMEEE1kA65qmr87qun8ZrIIA169esawIcttttuLHHmytdRnZ+l2fp+nfZZ2TZ3HH1V17ass5ms6jq/KhFR44p98554uv8zrGsayOEWGEOCSYOPzmqavzpsv2WX22pO7Ls/SPqWL9LsTVWXPYi5sD1LVRZckkGDDkyZJygtbDCCLjy/bHjy57133HEacGa8GHDgosvuXLlyWX32U5P6nxVW24psOybpvm/N2bMXz32YJpGkahr1kSfZIeeOOfLPOJrIBBEOS+q7M3TfN12V1VVW2U00UWVY7srSvvpouujBmrNUAmv8AP8/z/K6vzgAGvXr16xrI8WK1VVWqvNl21XPe/wBLs/T9I4jYo444+++uvc8hIOs66EXHHjyy5fkkMEHHB1gEk8oMPWtf5kEkw8TXwistt+Sy+1JJJVxlRdV3b+l2VKq1dzYdmt6VqQRUpwwwQyTySGlB63retjYNgRsy468WW1XZ+k2FhCha0EUUWXNk2R9W2yy+5MmS5P496SVttVebc3Zvm+bjtKy57ME1HSNI1ESfL9kMh44pp5ggmuAk4aV3dl2Jbc3zcdkcWLFnnkhwYbFU1sTVXXswZrouu6s1ZrhMHHHPPEAGsawATJY8dSr66qd23ZV8uW1VdSmmyyxdRR9ddSy5JIYZMuOuvHily5ckMJImv8/zgJMMhoQetarq/OCGGGGxx4rb7LL71Ukkrb7FNl23ddv6/r+t2PYtn6zaHqWlamEUacOCAgwcQyeUoPW9b17NezW9aKxVV1Yq3X+hYQRRYY2HZNh2HbNs2zZH1b7FLMkmTJknmXParVbaqktl23dm47htDNPJIGoaTqOuGy/PPJDCYaaeIJrmvjnzIu7su27bsa2zcdo2FxSnnmEkyXu7G9iatllODBRdd03TdVFMkss8hIAABEMxXZXUquu60tl2ZflxYsvyYcmSy++xRe+yyzJJJhwrpNtpVYopZzCSCTBxz5IYCR+a1rWtd1fnxzMme2vNmPLfZfeqqqrbbbe7sW67v1u39f2u5bVtuybAtV1LU9aGHDgmsgkw88+ec0oMbNezXsDGw7MdSSVaaS6C1oIssbBsOybJsO2bJsDKl9yU05Pkhknly5bbaqqlWnsWy7JsO4btezXdf5HUNesajrwU05J5zCQQTDzxxBDDzTZcqruy7P0mzp5tm07CyjTzxBDJammm0s88mHBhwZrum6bquujJnlnhgIIJhky1pppW222pJp1ZbVbbbkw5Mnz3qKWX2U04cmexR/pdiaVtyxGnmEkEGGmyyQHWQYLrWta7ropsue9VKuvF8l6qqqqtttVSTTuzu7Ls/X9VsT6iF1XVda0rVggOs64IZJ555JJSiyzsOw7Ttm2ba0kk00l0KEWWWNh2HZNk2HYdhYZUXtyYabLMOHJbUkqqqrXWqqnXjjOwbdezVdU1nUNYAIwYMEJh4Os65rg555558k8sWKpJJ3Z+hcVuybDsDCPMMEHNxVVW25zzzyYMEJE1ZpzVddFN85hJJBJJkxVppVW221VJJVVKqq23JZTZctqiKi9lNFOe21d13ZXVb8s88kJBMkss8JAABJoWta0EEUVLltqrqt+e1dVW221VKqqq29JJd911TJgzVda1rStK15rmsiDDkyTnmCClFFnYds25tzdm7HUmm20ohQiyyyyzsmybCywwgypZ8lKKili7WxbLsWy7P07SdtxYoixsGwMU8kgAEEmCCAkHWdR1TXRTzDzZ5Pix1111Kroor1Y4ywhRDDzYooopTzzzzzAACSTqOqa6KELMhgIIAIh8uOuvFitvtqrqqTSXXv2WIorpVXoqPuMII324stttt699+X5MMEMmWcwHWNZBJkNC1rWwiiypZYseLFbbbfbaqqqqrVixZctVWXPfcmTDguta1pWlabqwQ4cOGSSQwc0uKObZuzddq23bmzHWmmrZSiiioiiy4yighRQhTZffYiy4/wBFtW27bsTWz9JsrV+WU0obDtOyWSGAgkQEgg6yANR0zV+S10cc0qXPekmlVjjlkhw3q1YoyhRz5liiiNNHHHPPE1gAEk6zrgwXXgwQkgggmHy4qqsePFbfbXXVVXVfZknlmexFx1Jey9dFBhhTLFFLly232X33JhwQyZPkJABEMhwzxFBllFlGmllx4sttt9qSSq9+WKKKXLLFL8mHJkpWtalpWm6LpuvBhghkkhkmLHjx5uu9bltu27bsuy7E6rcliLLLKlllNNGDBgwYMNl99qjOybP0WxPvtNPuPvqXPLKUdh2nYUeQdYBJhJAA1nUdYGua7rWuiimlYstqTSuWKM08+e9V1ZZSjTZcuXLLKeeeOPzmuazrIJJEEODNc1zXBCSSZJfVVVVXXVbly1J1YsWL5MkkpUsyKOuuI/ZSta10/LFFLiy/JZfkggw5LLMMJBM8kOH5cUccURooQZ2HZHitttVVVv3yxFFCimxRTyQyZMOC6rpzRmjNN1UYIIZJIcl9VeO7Luu+7c2Ztzbm3NldVuWWZEUEKbKacGDBgwYcOS+y5b7FH3XV10krb1FKcny5cU2TadgQgA1gCGEkEEHUdRAhpQRppUceO1VWzLFFKebFaquvfcsUssuXLLKfIYPzmua5rgghJEBBB1nXNcGDDMt66tVdVdduWXFVVbixZZ5MmT4opct6q6NOT7LruqjJliixYss8yZPkhw2KKU4MEMkkkkme2qvHFKaKEdh2TZHFlxYrb7nnknnlNC1rWgopZzJJMkkE1TTNOac1XVmvBhpsyZJltqx5szdm6bTsO07Ztm2bMWXPLLMODBhspoow0UUUU2WZM8sp8+W2+9VW2+zDhyXLakndmOIwAawTDIcGDNc1HUQYaUUaaUWdhcWX5MtVWeWLHitvssvtqy5ZZT55TzDDDBBNc1wcwg6zrIAAIgwYc9t9ltVWLFFLLFixVYrbcsskmT5cWLFbfcOHJfkmuas15MuLHiy/PPJJk+SxRRFCijDhkknny1VVZTTSo82ZszZGUbFFLPPPOYeeeOLrQ2FxS/ZJIYQdR0zTmrNV1XXhsRRRsttttxzZNs2nadp2nadx2nYUaeeaOIQTJkpow4aKMGDDkyQyTmmmmy5cvy5cvyQ5LLVUmmmqpTACCZ8lF13VNU1kTLLEaaUWdh2FxfbVb8uPHiyz577VVbnnNNnnMMkhJMEHPMIOs6yAQSYYMmW2++1W3LEUKEXHFFlyyyzzzyfLiqxZfkhhyWZISDrgyW1VVZf69nz2KIsPW9aFOGSeWXFUqs8sWKu7LsxxFBFGminmGGDjjiChjYdhcvyYcJ5hB1zVNU1Zquq67LEUGXHXV7izbm3NubM2zbNs3HadhQ444/P8+CZMmHBhhgmuayCYYYZJ5ZZYsWXLPLLLMmS+9V1JJVdZDAYcn2YM1ZpmnNeG+/LEbFHNk2RlTzLllllx4pZZZfltVsySHmmzmSGGEkmTzzwkHWdZ1kiGQw5LbbbVV17llF1obDsLiNPFFHNnny1VVZZJJJJJIYYYcNiqVtuX+PcmSeXPYoxs1vUtdGGSUqKtJey+pNNNOvEbrWt61ruuijiCCDmnmGljbr2DYEbJBAZkhmvNWaprmvNV1qL2KbJtm2bZsjiV2rbdt2XZmybZtOwsLXRxxxRxDDzyDrIJAAOsgEwyTJffbVVVbc8sUsyZ71X3Uqrb6cMhkOT7IDqmnNWa6b9sssUc2TZGWbPOaabFFFLLLLLly/JDJOaaeIYIICZPM8hJJ1nUQYfMlN6qqqqt6llk5oY2DYELruu66KKKbLly25cs55JIg45MMOSyxdW3Ll+++zDIbFlvUQep6VquujJljzYm6ovaqlXjqyyH81repa7ruu67r/OCGmzyTlDZr26tmp66IRBhpwwTVmrNeDNeCm+9d/rNs3Tadk2LZs2bVsrx482TaWFrWuijnnniCDjgDWAABrABBh5z3r32pJK3JkyxRT7bb77asvw4cnyZPkhIOs65qzXTcmTPKaUXNh2FllHzyymlFFRRZcuXLPOZJDIeLr/Kapqmua+JPJIYSQdY1AGS57FHH17ly/JhwySlDYNmta7quq6lrQRRRUss5554gOs64KOZDJ89766ttuXPckMMkUeK2+i6lpWp63rZVWy7a7bF1VbcePLOSIFreta7ruu67ruvjmmnmSSl69mrZpelaqJJTgwYJqzVdd13XgpuW1XZ+k2nads3Lc9rbrzZjxxlBa1rWujnnnmEj8/yOsDWABrOsAmTxZV11XWnX17LLMUcue5cv25ZZDMlilkkkJIB1nXNcGGzJJJPFHHGdhZZZszymlFFx4rb7nnMPMJhJE1fj+P5cc8+SSSSE6xrAJmXLeu4pZ8uX5MOHJnlLDC1/nda1sI00oo2c88cQEHXNfFFHM+e1dxxe5csyYYZM9VdVtwZqzVdT1vXsOz9G9leXPeuvbVilMBEFC1rVdV13Xdd10U008ww80PW9OzRs0vWjhJwUZruu67quunD8WOpXZNh2zd+13XZXa7sx4oijRda1rXRTzySBNX5TWRrGsAHWRDJ448q7uytOvuKWWW48V99uXJkzynnmy4aKYSQNZ1kAiCHDhyZJPiqxY5sjjjinzylRxzZjtsyGCDjjiEEA6/yuummyyzJkhIOsayZMuLFlspw5PitvsppspzxFijihhlGlRRFHyHjjgggj86ELLnVVVcRUueU8yGT5UkrcuSCa5rwIMbDt/W7E1bltXcfVtkB1zXxRda1rVdS13XdS1oI0wTXNfFF1rU9O3Tt1PXRxIMGa815rzVdeDDMWbMdS7mybf1/Xvqpp1W4pTzQgwhRTyBrB1/n+Z1jXrABEPPnjmyPKu60qojTkyW11Z77l+TJOeKVLJBBAQACITDDhw4cmT5akqqsccccU8kksePHNkeeEkkwc88wAayDyipZZZZkwYCAAIZJYopcmHD8tVt6lKKNNluI00ouMoooooo8ww88kmEw0suLLbbcmHDkyTnnmTKk06vcmCDDSiyy+7s76tVSrjilkJIg44oouta1ruu61reta/zOs6vzuuiihjZr26nquqjkkHXNZ1nXNea4Zix5sx1Lv9P0jLiqSaVt+eWKMo00QAawRxNZ1jWNY1wc+eWKbDsLly23Jhw5L1Uqss/iYZDzSjSQAACCJJMOHDgw5LLLVVarbcWKOOKcw+WPHHNhZ4JJJh555hJEPxZZSopc8M1nWQSSSYaVFKZDkvVVt+TDhw02KXymlFxlGhBBBCiGHnmQ4cluKMso2WcwEySSec02WprYtnfcRQQRURRRXVvvtrSVUZRowEmHnnmiii67rutanpWn8Tqmr87rQpUUZ2B61ruv84CNZ1kEHXBJlquxbK66l1EUVFUk0lVLLMuXFinPMAAJMMJAABEPnPNiLOwbAjTzzDJL7bVblnnnmTBDOUUPzGvXrOuEQ5L6acOHDZYu66qrbbbix48s58sWKKMsLX+cEJMMPPMMhyLr3LFFLngOs6yCCSTCipTxTc6669ySSYclliNmWWLHGaaKEGUafJk+yxR9WqI0UcTXBBzkyZ5YsabexbP07mw7AwyoihTfc8xVpKqIILXdeHJPPOeaaaLr/O6lpWj8Px/PhBhl4sUReta7pun8yAdZBEEOS1NbE006suSmmy2quq5LLLlxZZ5CQSSZIYYIJJ55zxQizsLC13XddFme+235PnnnPMIIkNF1/kNQ1zXxJM99NFOTJeu/0/TuqqqqpV1XJnty5Yiihdd13XARBBxT5kvvUUuLFlkgmvNcEBJkxYpxwgzc9z2ZMmTJZZTTTcVWKI0UIuOKL5LLly3rubO/blNH58Qc0+TJnquxbHsbadf6Rlha2GUUUUVPirrqtspQWta0FLLMhpp54/P8/wA7ruq6rropRZ2HZFPKVrWq6VpuqawARBDkXVTWxNJK3L8lKi6VeKWZKbMsUshhJJkmTDggwZPkyTmlFxlCi60EVL/F+eyzJIeJrIIh4/OajrOvjjnz4cFNl96ruybI6qquqkklc99vzylCii66ICIIKUabPnvUUVtyyQzXmrNcJkz3OYOENgRs+TJkvvXRRpyX25ZZTQii448Vtllly4rVHFLMh4/Ojnyyz5U3sextJJVRFCihBFGlFFG+pOurLfSgta1oMo0ZJ5TDB+f50UUUIIqKPNk2RHmHj8rrWu6vymogw5L71U1sTqty5bb0XHH7cspsw4c8R5hhJhkyYIIIcl9lNltWKKKWWKOKKfLly32U4YZCQdZ1nXNf5zWRBBRRTZ5MNKi6qSqjj7qq6qStuX5MnzzyymiiiEmTPKUVLntvssty/JDBNU1YflyZITDSiyypZJ8666iCCGTPOaeeaUWdk2TZjy2ZMl9uLF8OGEkwc0U2WXLaq09i2JK1ZZIYcNFFFNlNFNtSVVVt9NF13WgihRh+eQwwUUU2WKOKKPHjiPMEE100fnNf58QzPffamnVblxYrb1FHHFLliNkw2ZZzBBDJ8mDBhyX3qKPuuq1YsWWqrFi+3FlvsowYICNZ1nVNU1/nxDDDyipZ5kRcUVqVXUfddfdVXtyzJk+X75ZZZ5PnsuKOLLbZhk+X5IYJqzXhsuSGGZcuObI55JlttXcQWta6MJ4ooppR2HZNk2RyyfPYrVbJBBDDJPLLLFiqSdabWxK5TxxDIcNFFNlNGG2qqrFluHBmvBQhRgw2ZMMMk8RUsuKuqrHjxSia4IIfOeIOKbPnvtbaVy5YsWLLeojZZZfFFMlKmQwc+W29FCimy++xRddde2rFiqqqttvtqt+HBBNZ1jXrOsiDjjjmGHlFmyy56Ub7UlV13+l2d999de3PPMuW+yy5Yvk+z4q6rfkkk+WSSHBmvNeGyyymm5cuPNmP5MuXFivRQuu6rroyTmmxYsebM2ZsjNPz3rq3JDDhpsuXLlxY8eOpJpq2Qwccc8yGHBSjTRktStqxZfhggw0LWtdFNmHDhsuWKLFjrSSSqnE1zVNfPkMMHNNllmXFUkrflxRRRTJhyWU2ZYpfhowyTLiqXRWuiy+++yz777bcWPFbVVaurbbnhmuazrGoayTJJJzTzDByiypcWXDktSVVtVd2d999dRRxe/LbfZZZbinkmeSY66rkkknzzzyQTXgyZLLKabMuLHjxyz5YopYYM15ruuimzLirSTTuzHEUVLlvvssySZMlNN9ttuLHjx46lV7JJJ5zzzDJIaUEKb1XVbas8kJMmGha1rYRRpsRRUtxYsebLsSVVvhJH50U2QwyWKKWWXFVVb/FillKNPMyWU03FFPDNcOe22qr4cGCy+/DIebPnljjjxVJK337IZrmo6jrIkyZMn2QmHlnZHFFLJntVty1VKrrrrvuOOOOLq2/Zk+Wc+fbXXbZhyZPkknnJIIIk+TDhw5MuLHjxSz55ShRwSJrgwUrpNttJJ14sUUUUp558mTJkkhyX2221V115srtvsssyTzznzzJkoosVdffVueSGSZKaEGGWWWWUbLixR5tzZj+TJhhklKNPHOXFiy4seOq/fPLKaaaaKbMmGmzLlPJJkvXttyzwwQ4cmSSEk80+eeWOObI8Vt99+zBmqapqgksUUssXpwyTxzZHLEactty4sVWX57VXXNkcc2Rxe55zJMmeWWXLfbXXlyZMllmSSQwkEEmfJDDDJLix4sWX5JDxdd1/nNYBJhsV2LatiaSSqqxYopTx+dFOTDhkkny/Lix48ebMeXPZTTknnzz7MOFd19xRSzIYZJ9NKDLOw7DsLDCN9tWbM2TZHLMmHDhuU0UWXLbblxV48t9+SSU00U0000c+TCos54h+e++5ZISYYZJJCATTTT8WLHmzNmPFau+upTBNc1ZrpXXZUUUURppuLNmOWWWWKeYq0rcsy2pOuOObIyyjZknnyfLly5flqqzzJkyU4cMJIhJkmTJISSZMtddWXLPJDIfz/L8pqghkypbFsuyutKqq25ZZzzzYpcmHDk/qxFlnZNmPLnkhgh+ySWX5Ml6666iiNGQ8+fYiiyzsjOwPWwioulXdleOWeSGHDkyTmxRZbbcWLFjimTJJJOaaVLLOeKKbnRQpnPly/ffcMMMMMMJIIhssWW22tNOuuupV9xijBNc14FNn6RlxxxFFFFRJOq3Lly4pcSbbq9tVTTTr7jjjDCFNl9+e9VW23FUqrfsyYcOCCEwySTDJIZJMtSSVWXPPJDDCYPz4p8y1JpOvuuqqrr5555cWLL8OGy+++/bEdh2nYWaYYYTJ8khksWey9dde+9RC68M8sz230ooooooLWgo440mnVVl+TDkyYcOSWrHiz3FixYihRzCTD4oopZ5DzQipcN10XLit/mU04cMkJBBhy4qqrUm29j2PY20rb0Vruu66KVHNk2RxzYdh2FlllzZW0lVVbakkm2l13W2mmnX3HHNgethlxxe+9dV191pK3+PZZTRRRgyTzyQwySZMtSSqtvzyGGQw5Pnllly1Y67VX1VVbLPvtqSqv2WKKLrrr31ZsmwbNb1XVxzJJJDDD4seWxdey+1dFBa0L7cty57KbKaaaMFLjjjqadVWW+xFGzDhyXq14vqxZZzRRzCTDYsWXLnhMFDDNMgw2K22/xb0UEMOEkiGTLiqSaaa2Pa9r2ratiSt+HBda1sObP0mybCy45sOw7Dsjjmy7E06+qkk202067sW1bE006u4+4w9ewbDsOyOPruuuv9O6vnmXLfZTRRddFOSeYcOTPfUm0uvc8hg58mGyy/FFlxY48Vq66t9ll9qqrTT6n33qKKLqWX24ota1LS9K10ySGQwyWPHbepflVXRQWtBS2/LlyU5MlNOCmxRxl1pJJJJVRlhGnJeoulbLLFlzzyyzySTxRYrbhgEFDDCHMw5Ll+3LbfTdd1XXCSTD8VabbexbHte17Hsuzuq35MNCDOybZtmwsqKKIs7DsOybO/0rSq7qSaaabTWxbruu2uuurqL2UIMs7DsmybP0uy7K6644pcuW229RGii67rpsvyYbL7U29lcUskJEFlmTJkyfFjttx5sjiy3qr2WKpKtbFsriNluW+xSyyzJnnnPF1rW9T1LXRIYZJijx4r7LLltvsoWta1FbPiy5KbLKaEFF3+k2Hb+i2Jppp1RFBBFdVdde3LiqueZcv0/FHHlyYCBAgwwhRzJP5uX6c15pzVBJJJlrWxNNNNNttt19xe57KaUXNk2RllBFSyylFlx999VW2+2qvHWm21s76qqq6llmSHDSy45smz9K6+66oiiuqqrb8ODBRddCKi6llii6TbT7KFEBJ5Us5hhk+LHly1V48eK1dSyy1JJp19lBS5cuTDkyQwmGCDihBB6nqWviGSTxY82Yvksvtt+m61rRWSYsXw2KIooruu7Jtm39btW27Fsr6iKCCK6q67i6STq9ny5ct9llxxyknWQZFHGUaaf5tvzzmEHVmqizJ8VaadeOObMebMeW+y5777LFFFEaaaEVLLMmSxRRS+23Lly4sebM2XZXV88sWW+zDDJJMlKi7myPuvvrrosv8ASvr3PCTDgooUccccccd2NtK4cFFGH5ZzBBx5nqx5cWOtNOq2/JntTTSVvpppstyyEkmEkkiCa6EEaUHreq6+IYaVNmbMWeST5b77hwXWhTk+LF8mSxFFFdp3Z+k2/tdt23ZdlfRRQQRXXtfcf6J19RRdW22+xRYsZoI1kzLViiKNlz3333PPOYYQRmu66bLa66sURZZZYY2FHyfLlvsUUUppw5MNNNNOSfJkyfL8uXFix5szZmzHLIYUUbPDDDJPPkvXUUfdfcVXc2HZ+ncRskEEMhwoqOOOOOP9Lsr9s5hGDBRZnnEEFKl+LFixZsuxNJK25LL6qqsuX4cOHJkzmAgggggiDihFSyxFa1rohksc2zZKeeebLPkw4MGa8OTLVbk+e+mmxdppV/p+n6XZdnffZQQopvvVfff6V19/pNkfVttsssuU8TWT7VVbzQgypc99+SQwwwkiDBTZanXblijjjKGzXs1sU+ZcuW9RRGmmmyymmnDh+eQwyeW1VVWrHjzZjx5YTDSghwQRD555ZnvsvfdfXd2XZNk2TZGFrwQnnzJksUUUUUUXdfUySGCEw4MOSQk8qKWWKPFXdl2V1JKrqKL1YsuWWeGHDkyYYSQdZ1HUdZ1zXwi48t9ylBDny45tjNMPPNNNPMhhgmvDfVVb/Mw2Lq1W2rvuu7O44jRgwZLVVVVX33XX3GXF7ctlmTJkkPFltuSQ8IbDsKmSSSTJkkMMJhw2KKpJX4sWLLEWNg2a0KbLiqvsppppRUURQQppswyGHy4qlX31a7suyurPDJKUKPzmuDjnzxYrb71V111XXX3Nk2B67qzXh+X+JZZZfZeuvZghMMHMhgw4cMk8UUsseOqu7M2Zsx1KruOOK1Zcv0w5LKcEBAGs6zqOo6+EHNmO25M8pQRsuPNkRp555oQp5hJMMGG9JW57777LFF17asVtqqq6lNGa8GGy1JW221d119RFFS3Lkw5JIcM8Uss8JM8U2TYUeZPPkowyHyQ5LL11VflqStzyxllhhFRYrbkhw0ooqKIoII0004cmWqtJV9x9pbFsTtsw4c8p44gg4ppuKpVd1Vde21W+29Fa7qzVQi++upZkyZMl999+GCAk8/Dhw4cOT4sUuK7LsqqrzZNkePLauiy+66rfZksspozXNc1kEA6zrhsc2zbjlkkkliLiy4scRp5hhpRp5gghkl6rr66q676666666VVttt9mHDgwUoqKpXLixWqrr2U0U3PJCYfDDnlNNPMmWqvHEafLlvsooyZ5kyZ7b777aklb8uKOMssuPFchh8mSmxRRGiiimmmlRVJNOq9dXYtjbSuTDTkzznmGHmxR1pOvvr2fLl+3LhzXmuhFzZ+k2FmzJJk+z+BNcEkuX4aaaaUVLcWLGmnVbVmzNubMeLLeo5s/S7K+uopZZhwZrzVNc1nWSOfLjuzNkZp5knxR48uXFFLOYebEaeOfJM9ruz9Js7r77jiii667qttuX4cOHDSizsj6t9uPFl/g4MEmSzDDIeZDJnlNPny1K1YpTZctyZrzXk+zJ/NqSVzzny4oooo5tzZlySGHzyZMlmHDgwYMOGyxRVKurFlypNbE7blmSimmQ8Qc2LHdi2JKqWWZPly/b8mChjYdn6foWHrpySSTzySTJBNeHJbbcOGmxRFleq7LsrSqtSTW27K6qkn+k2fr+kcUURpyZMGas05qmo6yT4sVadeOI+fbmzHl+KKWeSeWU882W9dVJJdxx9VdRRRRdVddW23L8OHJYooyy46oulV988MEMmTDhhknPMk+XL9uKq25cWLFl+HNeDJfkyfyqrfkPNlijjx13ZjnhknnnyZMOHDgwUUqWWKLpVYsWKqtJ1e5fkpoowyHmxY7sWxbE7kyZMny4sv8ylhl9xFa1qoySSGHnnzyEwYb17kkyWKOM7DsjT2LZXXUkk29i2JpppPv9P07LKiiFGGSCas05pmo6zJcddVWLFFL99tdeX5cssyfzcVS67qSSqjj7qill9l9ttz3Ll+SyxRRRFF99xx1K+/Jhhw/JDDDDJPPJky4st9teK25aqrcueSDBZZZJPPJPLFFOZJPLFFjxx48eI8yS++9e+ymmmmlFllx9xdWqrFVXXV899uX4bruvBky1VY82XZXV8mSyxde3L/F+SilSynNd1XXThknnmeQwwyT5Mk89677/Q7Dsm27G2lXXXWm9j2Np3ZWquuuyy4ihdeDCSdc0zQdUGSquurLlxYsvy2pJVZcty5ftXfddaStvVSqVXUf6fpGVLMn3zz57c996iiiiKi66ij7qq6lOHDhyZIYcOHJly5MmXFlvtqxS/LViy55JIcNNOGQ+WfLLKaefMuLFixzZNkcppsy2rrrqKIo0qKM7Dsjjil9uLFixYpZZnvvw5rzXhvttqx3bdlUp58z2Lrr23JkyzJhpspw5rzXmuinJ/EkkkknyZM9tqruz9JsOybP0WxNJJprYtmx7G0lXXbfeuigjRmvNea4ISDpOia8l6SdVVVVSSttqrqttVS6669qTuz9f0/Su2221VVKrv8ASMMI5Mkzzyy5ctttq6iiiKNl969667q6NGHDhhkkhw4cl9uT4qrb7bcsUsuLLPIfPhwQQmTL9uec008+WKKLFjmyKWKWXLbeoopTThsUUZZZZRRvtxYoojTSost9mSEgiHJlxY7sWxPLOabLPnvvVXRsy5c9iKNGCazrgwUYflkhkkyZPsstStttXcZc2fp3Ukmnse3Zt2ratldSrxZct9ODBBNc1zXNcEB1TVQ4+klVUkk066kkqquqmm7s/T9P0Wx7Ls/T9P0mzv221JJJKvuILXRhkPMPNiiy22qrrqIo02W232qrvuIYMOHDhyZMMMme++50klb77liily5Zz5ZkwwQEzLl/vzmlFx4sWPHilliixW332U004bL70UEKcNNlyylCi60GXi+HDAACTJLFNl2J25JzSpZ5Zfnvvppttz2U0Zrms6yIcGHDk+SSTPZZfbeuqqrbUqoi+++6km29mzdt27Vt/Tuq1YpcuTDBNc1nXBNc14M1wYUdh2TZWmkm22tn6d1JVVVVtt1/p+t23atlfVVcZcVqSSSSVURouq66ckh55scUWLFauuoihTYvbctt99NFNNNKKNOGSffeq006+opfbiiy37cuTBmvBk+XL9uX5778Uc2Y6qsUUUUWPFbfkyU0U2ZfhwYMOTJJJOaLruuhjYdhU8E1wEmSTLizbm3Hnkniiy/Ll+34cNy55CDrOs6yIcODDhyZJJ89ii6r7i6qqrqtlii69qSa2bNu3ds27Fs/T9O+rVFPJDgzXmvBBNcEGClRzZNs2/rdibbbaffVSqtVa2PYmlX+n6V19e22+xF9JNJJK3JhwZrutBGzJPKUWWVFL866DDKi9yy5cvw0U02IsMIYJJ5cuVV1119xRRRWuu2y5b8kOCiy/L8mXLnvss+LNmbMeLFlxRRR48eX5MkkmCiz55IMGDDIYSIPzuu62Nh2HYUOANY1iHn6s25siPPmKvLbblzzyyyZLLMhIAABEMMEEEMhh5ssue9V1xRWpJV9ezPfffUmtmzbt27du3ZsT7/SOOW5ZT5MN13VmuAgmGlR/p+k2zb+t2ratjbSvvXVSSa2PYtlaSdffXXXXuW+x9pJK3LPJDDgoQWtGz5YiyyyipctqLDLKl8sUWW4cGHJnUQepaqMky4qqklXV71EVF0k7k+XJkkkw0WX337bfkySZcVebJsjy25cUUccUvyZJJIYMOT5MOCijDCSSYKEGNh2Fi6/yOoawIeKbMWbI4jTcttWWXPPOfLLPhwwkgAEwwwEEEwwkjilFRZVX1FF0klVFLL777U3s2btu7dt3bNradfZZZUvll+HNeac1TXBJnvf6TZ33H+l23ddt2VW21XYtq2rY9i2XZdiadXXXXXXXVVXXddXvlPMkkw0LWtaFP244444osWXJRRRTkljilyQwQ/ZgzVmrBh+LFXVVflz2WWLpVZMny5MkmTDhw2WZPty55J8uLFjm2bIply4scccUyYcmTDhyWKWYYcGCjBhhknKOwbAwtf5zUdR1kQ8II2KMso0qKWWU88wcUU02eHBBASTDDggIJJJIBHCKKjiy/PYuqlbZZYouq1s2bdu7du27tm17Fsrr7jLDKittw5qzTmqilRd19xxy+1rYtn6d9eqpPYtt2rati2V3ZXX113333111VVXX0ck5p8+TBdd13XTZctWOOPHixSzw4MGDDLFEaICSTJOJrA1nXBkvSSqqyzzyzzyZL7cuST5cmT5MMMkmTJPPPPPPntty4psmwo2WLFix44vksUUUUUURohJJgzXmvDhw5IizsC13V+U1TXBBByijZSiggiijTTTzBBxdd1rWhSZrgghw4cGa81wQEgggnlFRllCmy571Urb113+l23a92zft37du3Zsbd2XZX1EUEWX1kwzXmq60EX+l2d9xBG3FixX2fOkmtiaTWy7K6666uq6+444veqq6+pRh+WX5KcE1zXgpsvVVqzZNmPLLOeITmvNeHLKaLrms6yISDrOs6wBDntSStyznnimmnnz555JcsyZLKcMk8kk88555sv2y4scZRUWLFVVViiz2KKMuOI0ZrgMMJmua8OTDkyxlC6rp/Kaprgg45UcsspQYZRoopp5ggmv87qWp61rIBMOHJTgzXmvNea4CCTJcUURQWthRfakkq7s/W7ruW/Zv2b3ue3Zs2NtOvqU000ouOWYYMFCLmz9P07iNFNxRlHmS4qkk8eOpVVVVVVV119RFRe1J19RDBZfbbajRggmvBkvXXXVTriNPPPPMgwYc54o/Oa5rmuAgkmEkyfLlt+wwUU088cU+eefL89llFFOSQyfx5ZTzzSooo48ddVdatuKKWfPZTTRmvNea8MhIBGTJRT8p4/O6rq/L85q/Pix48vzxFlhChBCjiAg65rupanqWr8iJJkspouu67rzXNcEksssppQZ2FxSy4qkkmtl23ctz3ve9y2rbs2Np25MmTDTZZShTRhw0ouPvuKU0YMkpZQ58WOqqu7MeLLlqtVVddXuSmxdVJW+mimy9VJ9Ba6MEGHJaquu66rlNPPPPEBAJkMH5/nNcEEMMhhkkyXLly55ITDSjTzzZZZ9ttt+SihCmQ/PfvnHCKiiijzZdlaVaV+LFKebMmGGCa5rmvBCSCZMlFNl8hg/O6/y/L8rrRceLL9sRZRppo/P85rOs64LrWt61r/PjzJZTRdeas1ZqzXgyfbOeUXNk2SmlR48daaWxbHte17VsWxbXsT9khhkmHDkyYaEEKbEUVH3EUaKKMPxRGm48eLFjrrqxYsWK21ezPPJJnXVVXww4bLVUl0LquujDkz22qqqrrPKafIYJrmsgiGCDjjnnzJhw5M996ttueGGZcss8y225bV1V788kMGa8GTLb/EkklxYsWLHmzNmbK000r78spps5JAAAAABBEMk99lODDhhMPPPHFCLjjilnklijyyynjiapqmuCChFlGmyy/DDBNc1TXNea6LL98sU2ZsjNNLmyOPHmzHWm2223sW1bOjhkPPPMMmeylBBlxRRRdRFl61ropXVtxRRRRR5srSSttxYopZDDDz5ctt99mSGTJZlxW3BdV1XXhz3225bbfkyTnniAgiCCEiCHnnmm/JhyX23r333JJM6q9uW21VVJ999dSzIYYCRgXVuSeSSSZcWLFjrruy7bsTSVv8AHllnJA1jWNY1jWQSIZlvpowYMBJhs8ny48ccZRR88uPHb855ms6pq/PjmxRlyyy5ZISSDrOoiC60FL8lltVeOKWWM7Cyy5sOybM2V1pvY1s7NEEk8hh58+ylnYNhcUUUXUYet60FF11basWKObM2Y6rbbliNPMBEFFKil+yGSTJky4suTBmrNV10335cv2Q4ZJzxxCSTDBNcHPPPFKnkyXvvvqX2YZD5cqr66tVSrTTr7jiNNOEwyTDZckkk5kny4sUceO7FsW1bE0l7k+T5ZzABrAAABJJJMllmSha7rwQzyyzPbVEUUEEKbFjrzySEgaxqmq60LLijjKNlnhIBAGs64cNCCKl996qqVeKWWIsM7C45tm3Nld2LYtjSlGa4JJ5MmTPOefM9KDDLiil99K1LUgjZfeqrbixzZNs2Ry/bKaeYCJr/ADWthGzzyQySSSS48uTBmvNdCLl9y5f4mGnJJPISSCDr/PjnmGxRGnKq/wBI44pTTky4sVt9ltVdSTTr6KNNNFGT7MmSGEw+Zb7cssc2ZtWx7HsexO2yyz5LLMhIIB1nWTJDCSZLFLnouq6rrw/Lly/fKUEFrWthFxyniGEgACChhGyxRFFGmEAAggESZKEEbL7bVX3asUsssZ2HbNmbM25uzbdl2LYnbhmua4DJ5kssyHmhGyYaUUUbL7Kc15ropsvtvuXFix5smyOLLk+ec8wgEfm9ewMqfJkpyZJ4seXJgzXhpQRUvttv2YaacmSGEkAHX5TZ5ly4oosdS6iKKiKCK6VUp8z1V46knVKcOSm60EVLkhhhJMPli++KbM23ctq2LYtlduTJk+ynDCSSQRhswYIZlxYs8Ga7qutFS5ZT55JTRRQwwwyhdfHEJOsgw0ssqWWWIoUQEggkkyZMODDkz22qrqLLFFLimybZsmybZuzbm3NmbMR4IB1wTyy5MmHDIaEEOPJRRTfcOCazrgyWX335aqq7suyurL8l+eEgk8sbBsLl+TJTTZ8UcpkEGHDgw2XqrrqL2YcOHDDDBAQTOvbltvvtxYseL5LLEVEWXH7ZTZcuXHNmbKr6cOHJkoQZ2FmmEkkww8qKWfHdq3Lctt2V11fJkyX32U4cOCAkzJTRRkz223PDBmtBlFHIaKOfPPLFFGWFruq6/wA+ICATJLHNhcUs5ooo4JJEMk+iCGZctVt9ll8UcuLNmbc2TZNs3TdNs2RHj85rJ1wTxSzJhwYZzRdd1oeHBSpZhms6yIZnvvvttqqruy7K7cvyWWZMMEM8Z2nbNkXyZMOHDkliNMBJIIMOdVV99xlHDhw4cMMGDDhsUVSVXXtxY8cUskmSxRFllS+3FllljzbmzFkwwyTPYzsOwPWtea4STDDSopctqa2rctt2ZsuyrL99666NGDBgwYZkw4KLPly/Jkw00IIXXhNKFFOW2qrLKLrupa6OJrOsgny1144pzzTTTzCYYcnzyQQSTLiy5cuTDZVXiquy7M2RzbNx3Dadho4mv8+ARJLLMmGCGSU0osozCijRgmua4ZM99666qqSSa2LZVlllnk+HBRRkim2bTsKmTDDDDJLKaIICACcVrrrr7KCFNNFGHJhopsUXddfUUXtqxYpT589liKKKiqqy4s2XZXlMhhky5V3Nh2a3qWm6sEM8+KPFiqTWxbbtzbmzHily5ctt9lGDBgwYKbLMmCim5ZZZkppwZrzXmvB8sRUWW23LnnPC1sUcEEQ+XFVVilPPNllPMMhhyZJJCIJMuKq25fkUVTSqTrxxzYdp3DaGLrmua7roJMmXL8MMMEM8sUUcuSla7rwTXBJnvVXXffdSTTTTtnlNPPmTBgwZMU2TYdgYshJBJkk8p4gIIJ8VaT7rr6KFFNNFGHJTTTZeu6quoookkssssuezJkyUoruv9O+0mninPMw31VKqMLVdV0rTddN+WquvFjrruzNmbc2RxRZcvzzyQYMGHDSgypYggipcuX5MOGCa5rgw2L24sWLLnnPMECDCHEMmW2rFFLKfPLlnnPMkkhJMPhhyWpJKrqqrrqtNJW1YozsOwbRt1vTdM1fnRTCZly/DASSZPLFFHF8Oapqmua4c9qr77r6i6SSdeLPJOaKafJBNcGTLjLGwMUQAEQQ8+ecwkmSXHdiTuzvuI0UU03XgyWU05M966tt96ijqt9yxRfJknmSxV3Z+s2/rdiSzzmm5L0k0lFruq6rpWl60VLlqqqrrrrrzZm2OOOLLck5o4MEOGxFhlxxlBllS234SSYMGDDkUUVSqyzznmCHlFlCnz2qvq5ZTTZcuX755JIYYZ54cl6TTrq7rr7uy7K6rblyxFjYNmt6louj8brQRhkss8hJAAIhssWPHizwHVNU1wSZalVV17M9qSSVWWeQw8UUcwkgmSeIssPXdU1HWRBxz555JMmTLmy7U3X3GUKKEKKKLLMOGTL/Fy5b1H1kkliilkk+WZUti2XbNs2zZ18ksUypbE6jdd1rU9T0vWwjfVVixVV1VV5smyOObI5ZMMJ44hMmddRlnYWUEEELLb7MMJJMEGTPYo+67c888kny4oipZcVq7iyxRYrb8mSeeSTDZZcme1Jp1VVVVV3Z+nfvtvxFhhalpWhaVqWthin5TwQANYBHCKix1W5IDrmqa4ZiqtuSeeWpVW3FLJIYOKFruuAgAiDilBa1qun8prg55pp58yZMlt23atiS6jDCCCCCCCNNGGeWU+eWKX5LMmSSeKKWTJ8uLGnsW27JsLLj6iitVVSTq6NF1rWtT0vU9aK6tWLHjrqqxY8ccccZQhJBgo45y3qKMsMIUUUWW2U4MEJkMOS5b333LMn2Z77cuKKLFjxXoo31Y8VvyZJJ8nyWWWX2pNOqr221VKuI3PLPOaaFruq6lqep6nrethCzyGAgAAmGlFzZjt+SCa5qzXJlqquGE8qPFbfcuUwkQQUUXXNZABEFFFF13VdV18c+eeU80+eT4rtu27KrVEEEEEKKEEULrw5Mss88sRoo5hJk88URs+e2u7FsadcZZc2TZNk2XYmkqsuTBBgwZrupalrZcfuKbJsx4sVVVeOOMoUfmQDDTTZZfnvRWu68GHBSosmHNea4ZMmGxe23Lkwwzz+rVVixY6vkpUSry555JM99lnySZL7WtiadXuW2qq3DghnPH58U8UXXdaC1vXsDDDCMMkhggw5Las2Zsx5Z5IM1zXBntqtyQEzxRxxTJ8hIIh5ss4ms6yCIKLroooQppuW+y55zTz5cd2XbjxZcmCi6814IMGCmi60LPnPPNNNFHEJMPnlKKlny13ZdtaqjLmz9Jtm2bbsuzrLKYQQQRBNea0EGVLMs2TZHHjx224oyjTx+cEM+WWWWWX4c1ZqwYcNKKmSGa8GG+yxRde55IYZly/J8uW23Fjx4suexdVK5z5nvUspySHy5VWnXV777bbcs5JBJgmv8AOijihFGxFnYGGGEKfJhw4abFUk68Rp58E15rw3225zCTPixxlHmSQkiHzy55CQQQTDzRSiosWLFUuipc85ppWPNmbMcUskE1zXNZBMMGHDddGHJnFFFPPFFEEPPnnKLCNlxY7suyu2+x/pdv6zbNv6RxS5zAQSIMEEGDBhppy45sjx5sx5ZZYojR+fFNme5cssUs8M1Zrw5MlNFGGGHBSpZZZZZ9mGm/L9tVttuKIooqXPeuvZJLFl+TDgwzy4qlbarb717lllnhIIBEFFFFCKiixYoyxsDKKlyYcOSyy22rFKeaOSRgyX3JIYZPlyxFHmGAmHzLlyQkEiGGTLFFjx1VJ1X005JJ5YsePNmOMo0wEA6zrJJhhkw5rzXgkPFCFPMNF18cWeec0soI2LNl2XZXl+W13Z+s2HZGVEbMkJJJMEEEEGGmmm+vNmbM2Y8Ussssp55psUvyXLLLKeSRNeDJkkwYMOSTJSjZksw/x6abL9tqqt+WIoMMqXPfZhkiiy/JDBD8WKq5cUsvyfPLLISQQQIaeaUXHixYsspY2DYXFMmGT5LPlyyzzznmEw5LLMMk8+3LFFPISSZMuX4YIDDz89tVePHiqqtyYYIZJ5YsePHEWELrms6xrB1wwwwyQwTXNcJksUphg4/O66bPPJKWWVFjuy7McRRUWJJ9lhFFRFCjDDJCSRDhsRZZRXSuzNk2RyyxZfnnnlNKKNnkzymnia5rJEGHJkggw5Lkpp+enDJLMkmTJcuWpVVezJ8sUZZQRs8MMkWPLJITBJlxYss88spp5knzzmazrABJ8s5scccWLLPKWdp2HYWbJDJ9ny4st99meQwyTJhpsvvvvXVqtyYYTD5YsuSCa5rMNl+2qrFjjixZZCYcNmeKOOOIooXX+U1HVNZAhw4cOHDBNc1wSXLnkMMPCKKnySxxxx482Y4iii48eL4cGHJYigtdGGEkkmTIu5sOw7DsmytJ44yiosv8+Uo0Uccw8cfnBBBIcOHDDDhyX2UU2XDgmX5JksvtSVVvyZM9tuLEUEEOSTMWKcwwwmTLVbllnnnNFHPkkJA1HVNZJmeeXHjx48Wec0qbDsOwsUQyfJk+WqpeynJJIYefJYou++++6qvTghkllyzyQTXNckUv25cWKMss08wyTJTZLEUUaKLr/Oapqmua+JJhppwwQHWdcOT75JJJijxZcmTLixxnYdkcRpRc2TZjyyEgiTPTRda13XASYc967iLOybZt/Su1Yoo45Zly2WXLKaeIJrmvjjnnnmQ4YYYZPswYMnw4Pl+T771bcs88yZPtty5YijzDJllPEMPme1W3L88h5pUs8JIGsa4OOcmSWLHjxY8ueeWKbDsOwIIU+Z5JlxVK3DDCYYZPLLnvXVffXXVXoow5Lbcs88Oa812W5ZZcuXLlijLNPnnmTBTbiiKNHH5/lNX58c05MOHBgmsAAiHJ888yZPirx5fk+XFHNh2FSlFx5szZjnhIBNl+HBdd03Vmsw+XLbffYu5sLj66tuKOOWXFbZZffnkMEHFNPnmeSHBghkkmeSCDJ8OH5bLPl+e2555559uXL8uWWc+eZ5zzD55ctq+X5JJ5cWXJgmsgEw+WZMksePFjxfJ8uWObCyijTZ55J4sdVwwEEmGSTxZfltVXsvvtsoosvvv8TBRTcssuXL8uLHHLPPnkw02XLEeeOIOOebLLMmHBmqaiCSZJ/8QAIRAAAQMEAgMBAAAAAAAAAAAAEYCQoAExYbAAcBAwUND/2gAIAQEAAz8AjdiUsIxNkAWlYBsgwNSvKnwxGGKUzuy6dlWUsVHW1Ngf6CDscxEXEKYd/iUJXS3lz86t+rFhke5XQZ4I/LcywPlmuvrHbF+X+PeX8JRo8BaogVFw86VWrWYQANEuYeue/s8zN1MQcpHronf/xAAUEQEAAAAAAAAAAAAAAAAAAADg/9oACAECAQE/AAAB/8QAFBEBAAAAAAAAAAAAAAAAAAAA4P/aAAgBAwEBPwAAAf/Z",t}return p(n,[{key:"componentDidMount",value:function(){this.canvas=W({fps:this.props.fps,effect:this.effect,custom:this.custom,slideSpeed:this.slideSpeed,displacement:this.displacementImage,containerRef:this.sliderContainer.current}),this.createExportables(),this.handleSlideAutoplay(),this.addEventListeners()}},{key:"shouldComponentUpdate",value:function(){return!1}},{key:"componentWillUnmount",value:function(){this.removeResize(),this.props.webglSliderApi(void 0),clearTimeout(this.autoplayTimeout),this.sliderTimeline&&this.sliderTimeline.kill(),this.removeEventListeners()}},{key:"render",value:function(){var A=this.props.data,t=JSON.stringify(A.map((function(A){return A.Picturehandle}))),e=JSON.stringify(A.map((function(A){return A.videoHandle})));return m.default.createElement(L,{sliderRef:this},m.default.createElement("div",{className:"webGlCanvasWrapper",ref:this.sliderContainer,"data-images":t,"data-videos":e}))}}]),n}();U.propTypes={data:u.default.array.isRequired,autoplay:u.default.bool,autoplaySpeed:u.default.number,slideSpeed:u.default.number,initialSlideIndex:u.default.number,iterations:u.default.number,scrollToSlide:u.default.bool,effect:u.default.number},U.defaultProps={iterations:null,autoplay:!1,slideSpeed:1.6,autoplaySpeed:3e3,scrollToSlide:!1,initialSlideIndex:0,effect:1},module.exports=U;
|