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Problem with preview when diff sweep

YV
yur_vol@yahoo.com
Thu, Mar 12, 2026 11:59 AM

I build shapes for turtle3d in turtle (2d)
Then I diffs some and preview shows empty.
I guess it not solid.

include <BOSL2/std.scad>
include <BOSL2/turtle3d.scad>
include <BOSL2/paths.scad>
 module C1(angle,q, offset,ang){
 
	//------------------------------------	   
	
    yrot(angle)union(){
			
		ushape=turtle(
		  ["setdir",[0,-1],"ymove",3,"left","xmove",-18,"setdir",[-1,0],"arcleft",3,180,"xmove",18,"right","ymove",3]
		);
		ushape2=turtle(
		  ["setdir",[0,-1],
		  "ymove",3,
		  "left",
		  "xmove",-11.2,
		  "setdir",[-1,0],
		  "arcleft",19,30,
		  "arcleft",0.53,120,
		  "arcleft",19,30,
		  "xmove",11.2,
		  "right","ymove",3]
		);
        echo (ushape2);        
		ushape3=resample_path(ushape2,20,closed = true);
        
ushape4= [[0, 0], [0, 3], [-11.2, 3], [-11.543, 2.9969], [-11.8859, 2.98761], [-12.2286, 2.97213], [-12.571, 2.95047], [-12.9129, 2.92263], [-13.2543, 2.88862], [-13.5949, 2.84845], [-13.9348, 2.80214], [-14.2739, 2.7497], [-14.6119, 2.69115], [-14.9488, 2.62651], [-15.2844, 2.55579], [-15.6188, 2.47903], [-15.9517, 2.39624], [-16.283, 2.30745], [-16.6127, 2.2127], [-16.9407, 2.11201], [-17.2667, 2.00541], [-17.5908, 1.89295], [-17.9128, 1.77465], [-18.2326, 1.65056], [-18.5501, 1.52071], [-18.8653, 1.38516], [-19.1779, 1.24393], [-19.4879, 1.09709], [-19.7952, 0.94467], [-20.0998, 0.786729], [-20.4014, 0.623315], [-20.7, 0.454483], [-20.894, 0.260489], [-20.965, -0.00451079], [-20.894, -0.269511], [-20.7, -0.463504], [-20.4014, -0.632337], [-20.0998, -0.79575], [-19.7952, -0.953692], [-19.4879, -1.10611], [-19.1779, -1.25295], [-18.8653, -1.39418], [-18.5501, -1.52973], [-18.2326, -1.65958], [-17.9128, -1.78367], [-17.5908, -1.90197], [-17.2667, -2.01443], [-16.9407, -2.12103], [-16.6127, -2.22172], [-16.283, -2.31647], [-15.9517, -2.40526], [-15.6188, -2.48805], [-15.2844, -2.56481], [-14.9488, -2.63553], [-14.6119, -2.70017], [-14.2739, -2.75873], [-13.9348, -2.81117], [-13.5949, -2.85748], [-13.2543, -2.89764], [-12.9129, -2.93165], [-12.571, -2.95949], [-12.2286, -2.98116], [-11.8859, -2.99664], [-11.543, -3.00592], [-11.2, -3.00902], [3.55271e-15, -3.00902], [3.55271e-15, -0.00902158]];
        
	//	fwd(20)stroke(ushape,width=.1,closed=true);
			
		path1 = turtle3d([   
		         ["arc",40,"up", 23, "steps", 15, "grow",[1,1.5]],
				 ["arc",60,"down", 20, "steps", 15,"grow",[1,1.1]],
			     ["arc",60,"down", 20, "steps", 15,"shrink",[1,1.2]],
				 ["arc",155,"up",17, "steps", 15,"shrink",[1,1.2]],
                 ["move",45,"shrink",[1,1.1]] 
                ],
        state=move([0,0,0]),transforms=true);
        //ushape1=square([9,7]);
		ushape1=[[-18, -3],[-20,-1.5],[-20,1.5],[-18,3],[ 20, 3],[ 20, -3]];	
		  
	//	fwd(20)stroke(ushape1,width=.1,closed=true);
		
		path2= turtle3d([     
		        ["arc",40,"up", 29, "steps", 15, "grow",[1,1.3]],
				["move",6, "grow",[1,1.1]]
                ],
                   state=LEFT,transforms=true);		 
		 
			
difference(){ 
     union(){
        xrot(90) cyl(d=8,h=13,$fn=6); 
        top_half(s=300)
		  union(){	
			down(12.5)left(20){
            sweep(ushape4, path1,caps=true);	//перед
			sweep(ushape4, path2,caps=true);				}  //зад
			right(125+1){cylinder(d=7.5,h=7);
			%down(4.8)  {cylinder(d=2.5,h=17);
						 cylinder(d=19.7,h=4.8);}}	
			left(17)cylinder(d=10,h=5);
		
			yrot(5)down(10){left(36+12)scale([2.4,1,1])cylinder(d=12.8,h=21.7);
			up(21.7)left(36+12)scale([2.4,1,0.5])sphere(d=12.8);}
			
            up(7.8){hull()
			           {right(13.5)back(10)cylinder(d=7,h=6.2);
						right(9)cube([9,0.1,6.2]);}
                       }
	      }
	}  //union
 
 left(83)down(56)xrot(90)cyl(d=150,h=40);
 right(125+1)cylinder(d=2.5,h=8);
 right(9)fwd(20)cube([21.5,50,7.8]);
 right(12)fwd(5)cube([9.5,3,11]);
 
 xrot(90)cyl(d=2.5+0.3,h=22);  //ось
 up(7.8)right(13.5)back(10)cylinder(d=3,h=6.2);
 left(17)down(0.2)cylinder(d=7,h=3);
 } // diff
 } //offset
 } // C1
 
 C1(0,1,0,0);
I build shapes for turtle3d in turtle (2d)\ Then I diffs some and preview shows empty.\ I guess it not solid. ``` include <BOSL2/std.scad> ``` ``` include <BOSL2/turtle3d.scad> ``` ``` include <BOSL2/paths.scad> ``` ``` module C1(angle,q, offset,ang){ ``` ``` ``` ``` //------------------------------------ ``` ``` ``` ``` yrot(angle)union(){ ``` ``` ``` ``` ushape=turtle( ``` ``` ["setdir",[0,-1],"ymove",3,"left","xmove",-18,"setdir",[-1,0],"arcleft",3,180,"xmove",18,"right","ymove",3] ``` ``` ); ``` ``` ushape2=turtle( ``` ``` ["setdir",[0,-1], ``` ``` "ymove",3, ``` ``` "left", ``` ``` "xmove",-11.2, ``` ``` "setdir",[-1,0], ``` ``` "arcleft",19,30, ``` ``` "arcleft",0.53,120, ``` ``` "arcleft",19,30, ``` ``` "xmove",11.2, ``` ``` "right","ymove",3] ``` ``` ); ``` ``` echo (ushape2); ``` ``` ushape3=resample_path(ushape2,20,closed = true); ``` ``` ``` ``` ushape4= [[0, 0], [0, 3], [-11.2, 3], [-11.543, 2.9969], [-11.8859, 2.98761], [-12.2286, 2.97213], [-12.571, 2.95047], [-12.9129, 2.92263], [-13.2543, 2.88862], [-13.5949, 2.84845], [-13.9348, 2.80214], [-14.2739, 2.7497], [-14.6119, 2.69115], [-14.9488, 2.62651], [-15.2844, 2.55579], [-15.6188, 2.47903], [-15.9517, 2.39624], [-16.283, 2.30745], [-16.6127, 2.2127], [-16.9407, 2.11201], [-17.2667, 2.00541], [-17.5908, 1.89295], [-17.9128, 1.77465], [-18.2326, 1.65056], [-18.5501, 1.52071], [-18.8653, 1.38516], [-19.1779, 1.24393], [-19.4879, 1.09709], [-19.7952, 0.94467], [-20.0998, 0.786729], [-20.4014, 0.623315], [-20.7, 0.454483], [-20.894, 0.260489], [-20.965, -0.00451079], [-20.894, -0.269511], [-20.7, -0.463504], [-20.4014, -0.632337], [-20.0998, -0.79575], [-19.7952, -0.953692], [-19.4879, -1.10611], [-19.1779, -1.25295], [-18.8653, -1.39418], [-18.5501, -1.52973], [-18.2326, -1.65958], [-17.9128, -1.78367], [-17.5908, -1.90197], [-17.2667, -2.01443], [-16.9407, -2.12103], [-16.6127, -2.22172], [-16.283, -2.31647], [-15.9517, -2.40526], [-15.6188, -2.48805], [-15.2844, -2.56481], [-14.9488, -2.63553], [-14.6119, -2.70017], [-14.2739, -2.75873], [-13.9348, -2.81117], [-13.5949, -2.85748], [-13.2543, -2.89764], [-12.9129, -2.93165], [-12.571, -2.95949], [-12.2286, -2.98116], [-11.8859, -2.99664], [-11.543, -3.00592], [-11.2, -3.00902], [3.55271e-15, -3.00902], [3.55271e-15, -0.00902158]]; ``` ``` ``` ``` // fwd(20)stroke(ushape,width=.1,closed=true); ``` ``` ``` ``` path1 = turtle3d([ ``` ``` ["arc",40,"up", 23, "steps", 15, "grow",[1,1.5]], ``` ``` ["arc",60,"down", 20, "steps", 15,"grow",[1,1.1]], ``` ``` ["arc",60,"down", 20, "steps", 15,"shrink",[1,1.2]], ``` ``` ["arc",155,"up",17, "steps", 15,"shrink",[1,1.2]], ``` ``` ["move",45,"shrink",[1,1.1]] ``` ``` ], ``` ``` state=move([0,0,0]),transforms=true); ``` ``` //ushape1=square([9,7]); ``` ``` ushape1=[[-18, -3],[-20,-1.5],[-20,1.5],[-18,3],[ 20, 3],[ 20, -3]]; ``` ``` ``` ``` // fwd(20)stroke(ushape1,width=.1,closed=true); ``` ``` ``` ``` path2= turtle3d([ ``` ``` ["arc",40,"up", 29, "steps", 15, "grow",[1,1.3]], ``` ``` ["move",6, "grow",[1,1.1]] ``` ``` ], ``` ``` state=LEFT,transforms=true); ``` ``` ``` ``` ``` ``` difference(){ ``` ``` union(){ ``` ``` xrot(90) cyl(d=8,h=13,$fn=6); ``` ``` top_half(s=300) ``` ``` union(){ ``` ``` down(12.5)left(20){ ``` ``` sweep(ushape4, path1,caps=true); //перед ``` ``` sweep(ushape4, path2,caps=true); } //зад ``` ``` right(125+1){cylinder(d=7.5,h=7); ``` ``` %down(4.8) {cylinder(d=2.5,h=17); ``` ``` cylinder(d=19.7,h=4.8);}} ``` ``` left(17)cylinder(d=10,h=5); ``` ``` ``` ``` yrot(5)down(10){left(36+12)scale([2.4,1,1])cylinder(d=12.8,h=21.7); ``` ``` up(21.7)left(36+12)scale([2.4,1,0.5])sphere(d=12.8);} ``` ``` ``` ``` up(7.8){hull() ``` ``` {right(13.5)back(10)cylinder(d=7,h=6.2); ``` ``` right(9)cube([9,0.1,6.2]);} ``` ``` } ``` ``` } ``` ``` } //union ``` ``` ``` ``` left(83)down(56)xrot(90)cyl(d=150,h=40); ``` ``` right(125+1)cylinder(d=2.5,h=8); ``` ``` right(9)fwd(20)cube([21.5,50,7.8]); ``` ``` right(12)fwd(5)cube([9.5,3,11]); ``` ``` ``` ``` xrot(90)cyl(d=2.5+0.3,h=22); //ось ``` ``` up(7.8)right(13.5)back(10)cylinder(d=3,h=6.2); ``` ``` left(17)down(0.2)cylinder(d=7,h=3); ``` ``` } // diff ``` ``` } //offset ``` ``` } // C1 ``` ``` ``` ``` C1(0,1,0,0); ```
YV
yur_vol@yahoo.com
Thu, Mar 12, 2026 12:01 PM

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pics 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iE0oaNgR2qlANyoOyA4tl0IJ3NaQ03K9AExb6gyVc+vQMrMV+lE6Bkpy7pTiflBkUMmpiyNDE1VtzWVgvZQ5wTNxIn680U0QM0MRGDJujwgSzExd4JgSQHRuUA+yUQCRrVgBpHDsgBOTAxBxaBS+KWibkW0eS//4cHM8lXvnACWdWukr2T6zeTCpTEFisuAEqLfZSYagfZStqOir8aq674OxRrxXtgQ5Qka02HLF7fphMOI52cfYscNDHxWOdpj70ztZIc2I8DrngzrIhkPx7Oc1/NXQ4sggO7brGLsKBiDaAJKsJ2AZqg9oH9dXQr/H2i+FAxZTjY/Scm2dcw7a6PR2U0IQmdUJrWmjvUst5BJ6efwrihIXTyrQ86JDoJXujPsA4AJRAJGnYA9ZMDckAOTN+BBeGSypaJ+fqZzx9DFlsJmiCLqyUUYqpWlI6hiEL2XSWliqQ/mqx1o5P/+mr4LjjQBNlQRifaODE3VA7kgEHJQF3moLGmKAfkwPI5sCBc0ufCgSao3AA0+fxVR8uZXXFBJxtfDoYaVwAAEABJREFUC9CwK99xYHQSy0p9edeEKtAEEaAbjm62Wq3TT4VxOAoCTVCIkuTmp/uXPfuuFquUA3s6AJEgbZPsaZQayAE5MBcOLA6X3PdxH+3jOGiCyg0+//njpnKyHG8c2zKVk33iZjPdaiVlNVbTkxutsvI8AUriIKAJ2jk8JYt0IjSJtixSsOdaIIw925Qb0B4iQeWkYjkgB+TA/DqwOFzCNeiPJjT4TMeTHZKfrw0oYArtB9LB9Z1NEet46uEMWWxlGU3I3PqsFUq0PGjCbZX7K0uWzArciOrliTWgfa8GyssBOSAH5tGBheISLsCeaEKbz3z+2F//v+OIuKzPbwNKH/6gCt1wZMtU7k68vtbFz040oWUnmpTpBDRBNJt5NGGO0ogdADXKMv6wMp6JQ2sTMwrkgByQA4vhQJf76LwvrA6a2BpBE5MdxvKqzx2LismugdFJLGkzNJrQ9/iNrb/9hxMEJkMTi1UurQPGH1aCIyYOl9YQLVwOyIHFdmABuYQLVh9NaIx26ISD3aoJKNbJAOW6GzY7Vdk1+erXNlGrlaBr/n3DxCBfd84KIjCBJt/ywNtbrFIO4ABEgggkOSAH5MBCOrCYXGKX6lDxhaoW1ymNTii7No6AQtC1QUxWEMTykAoIAouYLGnlLW9W/D8A7aAoy2hSJFQsuwPaJln2V4DWLwcWxoG9FpLa77tY7tV+buoH3TIpL+wzf3s8qpyP8ef/8fjHP3M0Kub3DCpvK4nte6HJOz98HW20ZYIJyyz+ebJHgpbZBK1dDsiBJXEg5ZddWfwGXJiV7wdNogkRUAhishJEQIlBpUH5sA6avO0P/gd99JNHyh0VL6cD/JPkX+hyrl2rlgNz4YAmOVoHdp7j8OsPxd+AxBWN9sSTGe3hT79yhCcCTaL6D/s3f3/iY5862kux73v/9IayPvt3x8ERFBtY8IPfdXMLVC6VA/YPMP6TXKq1a7FyQA4srQOBS+KvP/sNWD4kE0V+Hm0aLZpEBz712aNlxXydAGoxHNmz8cED2bxDCS+bsvZcshqYA5hm//TsUKUcmKADOpUcmKYD4f0l8dcfvwpRPCzPy/LlzBzFoAka64TLjEI8knPd9pwVNJKhpjiIvZxiyQspaoqzmvCpbck1T2qNcaxmezWTA3JADiySA+H9Jawn/irs/G0Yq2g216qPJqccqn5J66ALB03+5BNHeonRzjojp4x6+3uvNf3rNTfCIqZYu0gBL7Aoe2lZuUhr7FyLLdlWamVnG8tQa43tUOVoHNAockAOzI8D4TmOzZbfhhZYye9HE3lkyXkv66PJWFdqvGIgYuVYTzezg/O6KovX28xOdSQTqyyW9UYxvsW0IZbkgByQA0vrQHiOw+L5bWi/FmNJxkTtImlG0GSRLNVahnDA/nHFkn93FtccSs3kgByQA4vqQHiOw+9Elme/FmNJZlEFmhw6sLNRNBfL/MQfPmAu5qlJDuoA//oQ/+4G7aj2ckAOyIGFdCDcnsu/E/kVaVrI1cZFgSYxHlNw1hnVb3Ed04kWYtglXQT/1vjXh5Z0/Vq2HJADcqDDgcAl5SS/Ik0xya9OFA8XJnj8C/4czf5y/uiD4StfZ3+emuGgDvDPin9rg/ZSezkgB+TAYjtQ5ZLO1fKrE/E7tLNqATLjQpNRW/PDP//vox5S403NAf41If5ZTW0GOrEckANyYFYd2INL+O1pMy//DiVpsqp5L+cCTV7xwps/9uF3fNgD9P8WnveXW8K/Hf41oblfiRYgB+SAHBiDAz25hN+eKP72LJ+apCkmaYni4dwFoAma8WkfWEvRNz9QaDLjF6rn9Pg3gvi307OFKuSAHJADS+9ATy7htyeq6Q8tEb9za7afzWYDocnpp0z6ba2NVQeXIKHJLLx+Bn21055/I2gWJq85yAE5MIMOaErmwC4u4VenZYcry79zGco03FDT6jUQmkx4ko3VFDShBE0e+ZA7TPjsOl3FAV7t9gqPZaVBPLQGtI8ZBXJADsgBOdDLgTaXjPxXJ7+FTfHEdop4OLMBaIJmcHqNFZemKDmwnh1YT0GTh97vdjM4z0Wa0rG/eWgfHf3cnUz2UrdXuJXRBA6tNmYUyIGlcUALlQPDONDmkgn86rRT8Gt6mGlOvM+zf+ATEz9n+4Qf+vMb2tHuv1ZX3aF1tkxSACXsmqynhw9kD71UaLLbplEcRRapOZi1t1e4lbzOTRzWHETN5IAckANyAAfaXEI0ctnv5cqw5V/T1oCy0mZGDkETNCOTYRo+c6BJc9WFpzkrlCmHbJw87P4Lgia8Nqb+YjDCwO2Knvs7q5e9bqusSgMO6UtZFisqHyqeewe0ADkgB8bvwLi4hBsMv5RRnyVQa4pt6IXi4SwEs4Mm4AiGACINe6PJiju4nh5czw4fzL75gbd/4CXnUysN7QBUgbp2B0q65juTNgKv4coLu7OlMnJADsgBOdDVgXFxCb+Xu56vf5JeiF/r/ZtNuHZG0CTLwudxWHuWJW00MUBZDXQCoDz4vguyccIaJyzjiTon/a3vSk1dG3/440d49fIa7lo7g0lNSQ7IATkwaw6MjEv4dYxGsrzyr3XGNI1k5KEHGQeaXHiH5kDzcS7JCjQBSrICTYqSBzptHT6YPvwBt7//Rdo4Ser/QCSof/s3Pv4E6t+GWqCEsvzq5VCSA3JADsiBgRwYGZfw6xgNdO46jRnTFBtPC1PGgSZxUXWCtUa6uuJo6QsoIW6spDAKz3fQWjNtFtsnBw+k33Dv8++3pHSCPXUFjqC6rZOkzzYJg7z9vfrfGGGDJAfkgBzYrwMj45L9TqRbfxCkM22Y0rWqs/FoM9NFE3ZHfObgj9WV1GeJ92GbhAA0gUia9n7Y1XS9mR4+mDVW3QPudf5973HeaB0YyWi/9/pLop7/5Ls8/ymFCJ58F8YPh8SWfMpdnv3ECyoKXWiwreddfpeYee7ld0H/5xfujRiql8AR1Kt2iLygZAjT1EUOyAE50NWBGeUSsAOBIF0nTbJcRUsT+XELNEHjPsvO+KXIZ87QhNLQJMvcarFHQtAIQdpsBFihPHQgAApbLNDJfe4+NTqBP37/9Zc8D4YwziiCD1x5Q9TJjdbJk0FHj28dPbbFco8e3bI4BEe3QoON1o0ngyym9sixLUSAjp0IMYfo2PEt9KGPH0HPeuIF6JmPvwBwMX3nky5AoyUSJiwowQRJDsgBOTAqB2aUS8AOVHORtDTF9s6dieLhyIOaaHLWGaP8rvo0TSpo0lhxRSawCBskhUATe7hDuZO//8XnX3K3sdMJCAKIQCHI9jDgj/d97AYjjyNHA3BQAhlGGJBEVMhstpIkObnZIqYZzBFqj24RQxuIwEQMxFhMaYcbGy2TAY2VUAvjmI6faB073nrBK79i+q5XfPnFP/4V9Af7eAQjKOGSSXJADsiBETowaS4Z4dT7DGWYMgto0meSg1axKQKapGl718Rn4W2wxbtMAn9Qy5OdtUaIARQe9zQbgVF4rIPIoPtfFN53cu/RAQoUgmw3AhABQd5/5Q1QBXwQkOLYFkRCDBZwSL59eCygBjxBFbIkhwhPKFHM08tia0aMLKbKZKBzw9EtxInsdASh9mSrTDAbmy3jFUoY5ejxFnr/x254wY9+BT33h7/8wh/7yne/8itMo44EJXVcUhs5IAfkwEAOpAO1Hmtj584c7fjQSRyQwU0xs//g+3/6L/c/SP0RQBAe34AXlFkWoAQ0KRR2TcgXYpsk9RmZpLnqGg3XbD/fCY91GquORzzsstzvovMvvef5//vHL37JFRd+zxUX1p8DLX/ntZc857ILnlu8k+Mjf3EEFgm3/40WTBD44GR4KBOYoAhu3GjdUNAJJEEz2iACWpo4hBsoOSTP+JTEoePRNmdQa2JYC0IJ3KCjbcQBZY4e37IGnCuwy0aLw7f91FnoV19zluktP34mOyhHaHl8i40ZYnpFcV6Ln/nya2CUZ//gl7/rR7/y/Fd8mVlVBJGgSlKHckAOyIFZcGDe55DOzgLKGDHCWbkCdxjcFEcmj+LhcAFogobrO2ivc265EnAkDfsloAmYkueOICQDiMAiznue9SRNdkoKHFlrpI1GoJNiyyRsn2RZeOcsaOKzcP7b3Wb1o584cs8Lzv36e52PHnzf26GHPeD2P/8D93z9j1z0hh+56LEPv+MTvvmOT/q2Oz3l0Xd6+mPv/MzHX/DuP7kedDhx4xb3fmgACOAQAuAwBAUoxGRsYFUhf7L9ThG6gBegAAhCLVXEzOmGI+GNJpQcWp7S4nJJ+6DirSc0CDoZkIgkwzL4773uHMSAFf3mz5792z8X9Ks/dRY6BqCcbDFPE5BEhhKdOLF17BiTaX3nD30ZRnneD3+ZgNFEJJggyQE5IAfG5MAMcck4VujcmeBI15HJIxp0rR0oOTE0gSqyLMlAkzTJ2iySgCZshKyuOlT+5DBbI81G+PBwc5VNlEAnjYbjQU+TZCO97FtPsTWurDjnEruXc2/mSQeE8Z6P3vCeP7n+3R8NCBJu+RutjY3ka9dvouMnto6fCARw/ZGAJtTSF2IAL+hOGXSyRRJEQFQBGYiYxogqFA4LkqABIkOb+9x9jT0YDmlGGQVncDpTOSZTPgyDHN2i7zMed9rb33cdsjX2KWGX3/75s6NY2pGjYbHHeMTDfszxLfZU/ue6TTDluiMsfOupL/0SZIbYKOozrKrkgBwYnQMaabkcSBd4uTAH5NF/geUGtDf179K1dqxo8kcfbH83RuoCjmRZUQY0KYLi0GdhvyTzIZN751EWdlayzLGtApqAI+sQyWrqs2St6ZLtn6c86tS1ZgAXEkBJcWPmAUpAEEABce+/9rrNr123eXIjCTCxkZC89vpwk6YxcUhuE4bF8EFAio0WjAI3hPhk2CYhoMraECMYghFQTDIN8ogMpanVSpxri5g2dkjAocWUHCK6UJpAkyjL9C9///Xn/OEvnvM7rz0b/e7rzgn7JUcDfsElhVosB1IJj3uObf3h+65750euB1DAlP7DqlYOyAE5IAdqOpDWbDePzcrMUWf+tDfFxgNhCmiCYt8xBalLsu39Epgjy5Isg0iSNOUJDkH7fa+NVQLbLHHNVec9tUkDLmmkUAhdktLPk771FJ858jwbckkCK7A7srFpAZsHrUAkG5RhF+Ta6zePn9gCOGh2/ZFNIID9FRSAgzYnQxuQAlHVBo6NACVshIA4JKM4BTErQgkndolzYVoreRq04lbytpiYxSBXDMoxyfJhGKXjTwQUgo7K7ol3vOlW/9+bbwWs/MEbzmGN4Aj7KEeOtekkAMqxLYjt+InW77/n2l99+//81v/92htecVH3sZSVA9EBBXJADvR2IO1dNX81A2FEneW1Wtcghq3T2NpMAE24eQMWgAhloYRnMasrKTfv1TygSZqyU2IsQhkApbEacMRnCYACsjRXnc02luym0N1noTsNXJrQAlmQEnUAABAASURBVLaANtgaueHoJoRxw5FAJCQDlJxsXX/D1vEbWyduDOV1R8LTEyCjrNDyZCASkkDMxReuXfW5Y5/6bFuNVeDDBZ4APlZCfHA9Q0yJmSCqCoWqInDUHjyQddWBtbScZ5D+Ak3K6t+Y2re/97rvePSpR45tsaV09OjWkaMttk+OHd+iRADKiRtbUAv6wJU3PO6b7vjEb7nj47/5jnSU5IAckANyYCAH0oFaz3jjVoERI58kw8YxYRRTzHQGY0UTHltwRufCNknGo5zUBRZJ4Ykik4XAZ+yOGI5Qgibh0GcO+EAWJLt/fNGFLRMe8XjPIPTaVua2tsLeyYkTbJmEAOAIuyY3hneZwByIDLXsKFx/dItDE9shPnNZ6tKUPZuAF5fec/3SewQ98JIDH/vUEXTlVUcRAcxh8MG8LFixXZPcUWXigdRqHtZLueIdIkAEK3m6Wqr6nT++lnHqqz+jACU2FAs8ApQUdHLkGDtJyZFjW1HHj7fYOzFMYWeIw8c+/I6PedgdlgFQzB+VckAOyIH9O7BQXLJ/O7qOAIjEPIxiihlqUTy0ADRBFo+w/LZn/1kcLXUBRLiF25YJpS/YgmD7S2DZHSkIIyve9LrqsqIBaHLB7RrJ7p9vedAhnxUNvFtvhg8Vh3ItzX2S50nuYYuETRSfJVutBOBwSbK5GfZCIJLjJ3Y2S7I0NM6y8FSIueW5ozy4nq6shICY4OCBsLXzsPsfjPrWBx96z0evNyVJEprRccXREoVDuqM8vFcmHBa1DGXjE6B2vF3FOMOpzCi//o6vRShhtBc+9Sa4hxssn5VCJGyTACtsJlFyyPOvY+ENs2E3hb2TAlNax461HvXQOzzyIXcAUxhEkgNyQA7IgT4OiEv6mBOqYA5AJEQ9/lCLaNZZPw40eeRzAprABJwudYEVshSeQAFTsizhCQj0kGWBSLIs4aEMT0x8cdhcTZsN94rvvlnS8fPkR54S3un52nN+//VBf/iL53gfdlnW1wpGWUsPHch4VsItuS0QwTtiGMhAASwAZYpztcGCmbCHATFYAysDo+TbjFIEZGj22IcfNjE1WpI8tN7eAokjhAGhk0J0MVFrASUxfQkQ4+xDPbuyZDxhegRWeh82peAzLgosggCUI8da7JeEvZPj4RM9bJ/wrAeAM0B59DfeoecJVCEH5IAcWG4HxCX9rj+0AXP0a7FdV25GLxOVb/yNv0YEA+lDf35Dn/agSZa52IBtjCx1Pg1owp3bEMRngSoaK2kWiIQ4AArxy55909jRAogEWVwuf+9157z9jee84xdv9Y433eqP/nfQO996a27GnAIEQYcOpgfW2VAJkFF8RNmRBAtW8nYyxCs8hQlPcCw2bggxRFLgRdgOKQJLruaOOewkV1zswnmtDSXNQp7BD6TAAe3bWk8JrIpx9i8QpDII47NMnLS1c3bDNQ4NUCjpwvYJIEIJmpgKTCke9BzfYpflWx90h29+4O3BFBpLckAOyAE5EB0Ql0QrugRl2uhS3SNFL1Os/8Xf/G8UD/cfgCYMwn+gUyLnwmYJd2vul1kWYp85buTE3CazzDVW0+c/+fQXPe30pPTz5EeegkqJvcP/a4Dyllu9+5du/Y5fvNX/ffOt/vgtt1ptv2u1zR+NVXfoQHhSwwRgiKACL5heUBGvrLgQQyfbojEizyRCl+08MXkUAwYHAgACRLJT5BHjjEOPe/hhNnJAE8Q0sDcEawHFOCncttZwK779LCzzgatuPNkKgHI8/O+BjoanPOHdstfesHn8RIuHPtDJtz1Y2yfjuFYaUw7Igbl0IJ3LWY9t0nGfY7RnMEwBTSp7JxfeoTn0iUCTNAu7CzaCc4lzYcsECsmyhBs8aFIo7JT4LKn8DEokle7lQ27MB9cySugBGSj4zIVgpSgNMlYcmw1MjDxQQsChtbeSPLd2RuYQcYhiQEwtIiAZxTjIDgmQxYwzJrFS0AT4IGAJlNAJOytAycH1jJLYkIUHW/gQNlTygIlbWwFQAo6caFGyj8KeCsENR7ceeuntHv6A27OJMqY5a1g5IAfkwLw4MK9cMiZ/DSDGNzgjV9CEzD4Vd00YJ3UBTbgXIuiEkpt0lpF01EaNEEre/dEbAAXuzavFrgkx4qSIsxOvrLS3RsiEw+IOTdJiSstTopWV8IJcydl6iTsu7eDggYzatooGFq/mKWp3KcVxsSMPVvKwCwJ5rBJ4d5CHWQS5O7CeeZ9QwiXQCXlarjXDVgpoghtgCoeIi8EOysmN4u2xx2wfxb6nbuubvv72AMorX3z3kU9bA8oBOSAH5sKBdC5muQCTZCcmrgI0QfFw6OBRxXtgK93ZNfHeZWl4mpNlCbdDnyUjBJHy6YASDrnprq7s7IscPJCCKYE8VlyoysNWQTgMAZCRcrdGhw5kqyt2SCZdWQkld3oGXF2xLkVyhZHTg+sZVTsiudLGnZWVQAnbXUJsGcYZkx58nwNgB0s4sM6cHRsnYftkJayaeeY+fCKJKq4CgEIzSmIyuQ/Pd0K5lpJsNkJ36ASyZNckPOI5vnXt9ZvHjm995ONHvvH+t3vEN9x+TEvQsHJADsiBPR2YVgNxydidh0gQOzGVM4EmqJLsc3jxo/6ksxY0yVLXmXepA0e4W2cZgfvcF050ttlnxqCEQZ5z2WkBRHLHPZgzUpraMcCBcu7ByNqkqyETYlrSLCh3AM3KinvFd9/8x9/4HyGft8nD8lSRDKWBSF50X2m3CVV5OzZ8YWLj06ED7bUcPJCFKeXuQDPMBx9AEyYDfFAi+IPSoITS+4RdE58FQCFPLYc0bqw655Jjx1sniu9nO35ii/j4iZboZHwXUSPLATkwmw6IS8Z+XSAS1Os0V17196ZeDfbMP+o7i08Ob7XKLbe2Wq74ybKwcfJPV984QjR5zVv+C5VPx54Bt+SVYs+A263dqkOQQ0UJwepKeDMsQRSZ0Gwl3M4taTxBnpHbVdSu7NBGSObb7Vdc+9CCjpJBTB/4n5v+6fEzTJbZf7mSp5E/CGztbA6Fhaw4+IOAQ4CDgAc3BCQpAZE8TywmHwBlzb6K1zVXw5e+eO+yzAU6KZ7vXHv91nU3bD3gXuc/6D63g1H2P3ONIAeW2AEtfT4cSOdjmkswS6MTyq5rtc0S9l1MXdt0TabOcTvMslD5kb84gkI07B9wBHX2zrdx4cBaxp14lcOVAiCK0mcJSQRzABNWhsO8YA7amPKiS+6SJGEERJugFUcvREeSoSRTNOYwNCjiSsAgCCihjDI6sTImhwjCeleclZwXNKFkMgfXU9wmhj8o4+HBtZA/sJaSLDZIEmsAmtCePIcQyXrTrTVSn7m1JltKjuc7rVZy9Fj4XPHxE1vHT7REJ0NcLHWRA3JgvhwQl4zlejl35tDjgibola//dFk2GvsuJjuktBPZlgmHveTCvT65yameBqAJIqipRz/3i1HlLp/7u+PxkNst4ha7kicreXHDzh0kQRzKFQdMtAPyecARO7SSOzqymJJhKRG9uLWHQfI2spC0Q6oQh5RdxSAVKCFTltGJleV8nZgzMo2DxbteCFBklLCQ7dliyMH1wCKhtkgeaIbDA2tZ7sMDndy7A2tpIJK1lMAO15sOdmmspgWjJM2Gg07YQTl2HDRBrW+49/kPufR2deapNgvugJYnBxbRAXHJWK4q9DCWcTsG5UTOnYke+7w/p3Jzq/00Jy1IhKc5JLvqTb/11Yqe9rIvVWQ40rV7JckNFRW35zTegzksxJ04zbISWKxsI0txqw5tdmcYPCRj7VABg0SdOLYZ466B0YmVXRtUknF6PJEJ8UrxqRwf1tjO5C4ExZ4KzuBJwI48EBuH3iehF20KKKGKB2Heu2YTRknWA7W43CdrzRSF7ZNG2EHJ0vB8Bzq54ejWdddv3vce54lOKtdFh3JADiyAA+KSObuIIEhlxqAJisnHPPdfg573rzHTNbj9bVe75odIfvk/Nuwuu77GjdnuuLAIMSUiqCfopEAQ5mADUgI0w6n/Zgmn6CWjk1h2bfaSV30K2a4JezbMs48CoBREEvgjd+vF05wD65n3CbxCx9w7712o9Y6dEh+IhGYZtRwGNPHhq+4JEHRC+8QFRjE6ud9F53ed5DwmNWc5IAfkgLhkbl4DEAkqI0hl6vY05w/eeKugN9wq1j5mL0aJLYcO8pxbbML9EhU3WugkEAl5DhG38K2thGcciENEBhEEFUTCHdcQhGlY8LhvOvyYbzxUFlV19MGvVb9uv06vrm3+9MQZUdbgSS/+uAXP/5FPohf/+KcQqziwHpYcg7zYDuEQgReUiCTlgbAjkhxcD+/FAVNIHlhLsS7GtIFO6GXJdsD2SaPYQfFureGajdQVOyg33rh1yd3Ou/Se573sOXe1iamUA3JADsyvA+KSubl2EAnqP117mlN5fPMHb7jVY5/3xf4d91nL7ZP/lOf+yg2VOJR5sUfiXTkZthZAkEIpd9U0fPYkIEgRlOdgLFLOWGx5Ky3TWY4QSiqDG6BUknYIoKAX/finEMvfVnv5dogV8AdxnsNtDqNyH2COZJ6zQRLQJMS+vX3is/AoJ/dhEwV7A6mshRhMwTTQBBmd8Pzu+InWRz5+BDrR9oldEZVyQA7MqQPikjm9cD2n/ejiY8OV6t9/wzmVzGgPua1y+wwqHlhwGO6+Ptx9Q5C7QCS546RsivjUoXDA8T4Enfzib/53ZYDxQUnlRH0On/fDn4ROXvRjn8IHOAMHEDGygHJ9jcc0yQFKb4ASMI4Gvjg8sBYYBRYhA4VQ4i2HPgNZgBX2S9KMOCMIgk4Yc6sV/oc7J0+27nP380QnfS6QquSAHJhlB8Qls3x1EueG/1xPXBj/MU38xa/cSDmQDh/qeHn06L/WCPdRbo3cPhHBiudGm2aZy9LEZwllliV7/oAaaM9mNHjwU/4ZEURBJCgezkIAoKAX/tinEKiBLYEw8gAixIhDK6klXi/eekIJnVCGKp/4oLBNgrEkwRQPjjQdmNJsplkWHujAJeGwkTZWw4d3bjzZOnEiPNyZBRM0BzkgB+TAQA6kA7VW4wk7sOeDm67zsac5Xav6JO91l7U+tVb1558+akGl5O4YxOOY1HHXzFKXZgmqNOPQIIkAVbZMahIJHctEYlsmexLJnh/JYdix6rk/9MkXvvJT6KU/eZUBB5xBAGpQAiXh0AdkCUFeBHnAEWphERpAHnjrffuJD83I050gS9lESaFD1GwEUuFybG627nnBuZfc7byxrkuDywE5IAdG60A62uHmbrRFnfCjnxu+BHYqq3OGG8UHlosiaRV/Wdl1ShAJ6lpVSUIkqJw8/xG33xNKrD1oEvWm73uHJadSfvcrP4X+109e9T0/wbOe8BYT4AMBH3AGAcBhZcg005WcNmw7OTsERKCTtSYIGJLwCvJZ2FlhByXsnQQ0caurdAxfznaPC8696C7nTmWlOqkckANyYFAHxCU6dgaSAAAQAElEQVSDOjY37SvvfrV521erWTzCslVAR4EfydbWYAN3EsnRz92p6xAVIunapn4SNImq32vkLb/7Rz8FnbzkVZ/6vtfYPooDO+CPUHrH4zBiKGS9oBNKYkRAAyBmfS20Z5vEZHQCkUAn682wcdJopM1VCMaxd3Lfe2jvZOQXUAPKATmwhwODVotLBnVsbto/9vnhm9b6THf/X2FiX/n61a9tdD1L6kLatk+sLOgliY9yHl18Bjg02usPRIL2ajV8fQQUguFH2XdP6AS97DVXveynrgI7IJKgbToJGeLi4Q550MRnATjWmi7P2SwJ7zhZb6Yo9+yvBChpNpx9ZqexGg5BxntdeO597i462fel0gByQA6MzQFxydisnYGBK2jyL9cM/NbX/ov44V/498c891+f+f3X0KxNIcULyhVEwl2QvH0DrcUcRgElMe4fjJVIOk8NmkR11k4sY3Sy1gxvKF5bK0riPLyPJM9d7h27JgQFhYRDWpLJssAf7J2wX2LUQrAtqtzKSnrjyRaPdUQniX7kwJAOqNt4HShuI+M9hUafpgP2RpP4/SVDfCqn6+zPPCO/xc38L/3EWW951Zm/9JNnxTZP/94vEVcoxDDFSrZMvv3hh2tCCUSCGHBaioBCMJU5wB/AR3ia4x1BOAx7IQWdkEF5ABRAJA/59ltiARQOIRVEnKVhNwVkaaym7KAcOpCCLEYneldsoh85IAdmzAFxyYxdkPFM5/ffcE5khRuObl39lZNDnwciOeOm4f//F0ewN7LY05m3/sRZz/i+LyGjENtEsZY2gcd902E73LOcLpF0Tg80MXVWjS/TZpE8QMkKZQEiOSUUUjzQgTDClklRtd50VAEia80U+SxBIEvYL1l1a6uOKp+5AlDYO0mJT26EvRPRyfiu4HyMrFnKgVlyQFwyS1djPHP59m5vNAFN0PparRfAYx526JEPOUT5qIcesjluboY3uRqL2HMc8qmjSH751WexjxKiJLwHlh2Up770S0/73i89/hGHa0IJRIJshCUv4QxDkwAf3kEbZEJZgAicYbWW5NBnyfpuOsl9eK/JWkEqa+HtJmyZBDVWw/9zB2Sh18Zm6+ILz71E7ztZ8lebli8HZsOBWrel2ZiqZjG8A495bs/3wIImUQ+894GoB11y4AEXH+CBy7c9uM0idnojEospgRIe5aSGJBwXLMLftjtC8LafOgtS6fURGxpUJCIpGwJVsOEBOqA8bJOEHRELgIy8YI68lIc/isMk9oI8eHbjs7BNQkncXHVBjTadhHiVC+hOFu87WQw6KXuoWA7IgflyQFwyX9drmrPd3GyfnQcBRNzKnvXya+LWCBnbPiFwxcvKFdsnHPIA4u3vu45gTwlKKhYZZOSRP4ptktxApIjX2B3JE8oILgSwSF50gU5ya+xpUzzcKQ5pA9bQjAaUDfZRmmH7JEvdRkEnL3zahYl+5IAckAPTcKC4gUzjxDrnhB3o+jSn5hw2tj8InO5+vfzvH29/Tf7WVitNHaMVBX/viFugHYAmUZYplxAJKmdqxl945/+r2XIem+Eqyj3bJOG9q23IKIgkxEWAw4jD7c0SGrsiE57gEMCFzUbqs/B2E5+Fd5YUh84XmcZq2kS2fdJwjdDSXfmpIxfpq9jm8RWjOcuB+Xdg931m/tejFfRxYD9okm3/322e/QPhU8HxLOyRpHFjJGaLgEc5PWqSCCgEtB2OSOi4JAJNUO5BExSwI88dwJEXmx/bJVUJeegEECHZLD5XnPsECsmLllQVOysJhyQ5DG0YNkuyLPBK2D5ZBU1Q6jN30QXnXnzhuS95hvZOEv3IATkwMQfSiZ1JJ5oFB/q80aTr9DY2uWPtqnnzj7X3SDY323sku6qTJHXh7a72KIfbZKW2fVj6y9CklBgs/KO33HqwDkly30ec89a/eF7UoN2n1R50yFKgpOCPgjNAEwRkRPks1MakhzagE+/IQCGU1rLZIMP2CVsmAUegEx7rePpmgUjC9sk2nTjn/uQTR0Qn07roOq8cWEIHxCVLeNHrLpkbVdemEAn3yM4q/pue7ZPO/Pgyw0FJZT4RUAgqVTN4iPPQiWeTw4dtDzjDe2AFzgiQwaGJ7RCfhTyHvmjprRnksZpaDJ0UOOJoSftCxIFXOIvRSRNAWXVcWaMTfRvbDL4kNCU5sGAOiEtGc0HnaBSe5px6ePupzODzTru9ZFLntuyLXUsDrq660lG/8LmXn96vulvdn/3lUdStpl+OnZJ+1UkCmpTVv/EEah//gu4fpAJNkPdhd6Qgj4gggAWMArKgsBeSF3TSbNIgAAdbI6F9Fqq8pyVKjE5C3rvwKKfpisc94SM87LIEXgl0kqapu/Fk+ETxpffUN9lP4OLrFHJgSR3odpNZUiuWaNmgyZ6rbYUvKNnVKsuS+JGcWMG9qnOPJC0e5cQ2dYKB0IRtkv++6o7o9Hv8LaozPkSC6rQst5kdRnHdGC9LHfIeBAFQIAzgoy0fmKOUzwKvtOnEt0EkbpPQOPcJWyMgCHHIr6ZhN6XpuOjhMLwrNny6uLGacsWPHW/d+67n6f8CmOhHDsiBMTjQi0vGcCoNObcOcHPqnHuWOR7oVPLctAxTGquuUjWSQ4gExaFAExQPewVDEEnnULPDKJW5ZWl4zgJYoEAVgUjajMIhyTZteMfeSZEJtT7QTAhyH8pGI/WeBkmz4dgyIQ44sgqdoCqdMGCr1Tp+onWvC88VnVQuhw7lgBzYpwPikn0auCzd40eFey04dXuDyAf+56ZRnePsuWVSJpLY/V0fuT7GncHbXvmXI4GSysgzyCgQIcoDbYTnNYYgAS+gDR92U3If+IPLBFWQ5xAEybPQmAyHiKc84IjPdugkz8ITHxrQONtuTNxopIaeopPKa0OHcqC2A2rY3QFxSXdflDUHuEVZUC7TlAc6O4950tRZbedbTCzftQRQuua7JiES1FnVH0ogkrd8/JH0eua932EiHrkio4x85JoDtt0vWnMtUB5AJAAHVJGDI5njOsIiKKcqC1XEpmYjbJMQAx8+C4+BoJOcXrT0QAl9aUCQso9CY2tTxGmjoBPnnNGJ3ndSXAQVckAO7MsBccm+7Fu2zvwXc9cl27Mbq+K+SHDjjTvgwmGnbnOHU/7xjOrbJ7tumfQikj2hhJOCI5TQiYkYkUQEo1UEFILRjjzoaFwClAewCDslMEcOYazCHPEwvJuEJFVtASs+vB8FOgn5YpskvB/Wh16QCjiCqG02wjfD+tA+PPEBUBoNqAU4CXRy77udB518zxX6ypNBL9pCtNci5MAoHBCXjMLFhR5jY/vr5ztXmWWunExd+9Awhf+GLtfGGCJB8bB/0AtK+vRimwTRAPgARwgqIoksSRuTHY6qBE2iRjXmoOOAJigARBae4AT+IDD5IpOFjZNAIVBLI7XAe5IBX+yQstlIGST3CXSSFx3JBK2ylZIUQfjG2EbDra6Ej2Vx3T/88SP30htjE/3IATkwjAPikmFcW8I+2fYni+0jOen2C+eK7/tS2Y3yo5zUlWtC/LZX/iUKUe8/ccsEIkGdDetsk1ivCB922LWkjclq55FRyhtTbrfnHKapS9MCNTLnCAqw8JnzRcDmh8/YJoEwQqbZaNNJkWenhI2QlJbgCFBCSxTb2EeIeWFYsrmaNlZTaqETuidJAqBAJ/e76HziOZWmLQfkwOQd2L69TP7MOuNUHXjWyz8xkvO/+cfOBE2e9fJdX06fbiMJd6Z4lstffPVv/OzZKGb6BL2IpA+UsEeCGBO2oBxOE2OUgabn3EDNdxrHD3tzRdIUOgE+2AtBzmeFCjrxGWgSanOSPuAIIOJ90mBHxFNV0EkW8tBJ7kN3yMNnjOagE0RjnyXrzWLjZDXNeAy0Si+XJMnRY1uX3O080QlWSHJADtRxQFxSx6WlbsP9prz+bGfjJPyHepa5t/7EWcie3aTOPeNlX0JPf1nYR0nDjandOxLJbf/t7xFZKwkq6gUllWbx8EGn/KcRCRmgBLYg2L8YB9k4DIssHkkZn/IQ7GfAksF7D5OmAT584AnYArXRpNFIfcARMqFBc/sLYfOQDHjhfZtOArjAHI3AKCQDkWSO1wDbJCH2yVoztGcEkmH7pKATXhvHjrfp5FJ9J9veF0ot5MBSOyAuWerL33/x8b+2rdmeHxW2Zr/0k2eht7yq/b/RufFkwBerKpe9oKTcxmL2SJDFvcrGlVchaiNJEI9QDItsQAAFWTySEjSJGsmAfQZh1wQFNIl0QmDyYf8j94FO4A/YwhcZytwH2qAkBkGoJV6DZrJkrRG2TDgERKiiJIZOEGfhsKCTdCV30MmNN24dK76TTXTS5xqpSg4suQPikiV/AQy/fG5v5c5p6uxwq/hCejtk12Rry9J1y4c/4GC56R5EUmr65JdcDZpElWpGHAIoyAYFUJDFIykjoBDsc0DXviDtYcCCdpQkaRoENwR59khgERfiLKAJ8OFJ+gT+gE4ovW9vkDTbOyVgSrqddD4Ln+5hvyQQSSO8xQQcgVFAE0SSXhwyFPnGqmu1WtCJPdx56bPuGmelQA7IATmAA+ISTJBqOZBl7Wb21tf2QZJUvvU1dY4qe5Tzyz95VuqSXlsmNOuvmt8xb4O0vnzh5U887fIntHXF2f98xVltWYP9l50IAqAgG5laZPFIStAE1R8K4ytbXP377tCJD2wBMYAaPiPeRSckDU1CQEufwBkeagmbKKn3LmyceJcXdOKLfMhk7ec7RWMHoBBAJ4xPybng1+Mntv70k0fufdfw0eJEP3JADsiBwgFxSWHDzBRzMZEIKDbbLAsgQlz+L/Lyoxyqaipulrz7I9ej3/iZs8sdL3/S6UGXnXZ5ReDIE08LLeMjIwIUUknSal1x5j8F3eKfLDFcCXNEBOk6ArXIqmiMLB66PPSJvzz4F385dPeaHdt04gsWyYqNE+LMARDe72yTcJiTLDJsgRDDGb6gEF8koY3tgKHC+1GgE5rx8ghVRV+jE8uQZJyNzdZW8ZX2opOa10vN5MDCOyAuWfhLPMYFVndKUlc+Wbp9yKOcOlsmEUr++EPX2ThPuvz0y00FkYRk54bADn+E+vBnJ9MCSkKGP8XjpCtu8U9BZ/zTFWcMxihARmQOBttTNEbWjL7I4volULJn4112921dRsauDdO0eLLjwZHtxzoh5tDQJKBGABHwAlGFMvZIeKBDgzbNwBnQRplO6LLWSFeKnZVQFd4zm0IntGkUT3wsubriIp3c+27n3V8fLe56kZSUA8vhwLi5ZDlcXNxVPvmRp6Je6+NmVq66In6XSSSDotr4BDRBJ0+2UJHuUpx21gp6ylNuApGgdgsbDSJB7VTxF3lESIkI0E4QoyQpoITKhBwKUXLFzf4pqkj0KyJk9GvUo46+yCoBFGRxn7IMJa4+fZRGHK4XFxRiCMq600nui4c4GSwSFFoWgNIM7zvZqQq04R1E654NDQAAEABJREFUQoN2l2JnxfLN1bS5Svfwnlk6krQdFKMTnu8cO7F1yd0DnXzvs/Xuk0Q/cmDZHBCXLNsVr7vepzzqVGStn/qYU01Pe+xpJsvHEiJBb/2Js2LGgm0GsKOdEjTZ2Gg96YmnPemy4vlLkrBZApHstCgid/PPBJIgrhBJyPCnUDwHASpyu7ZJylBitZQxScyDnpv+4xWFnnH6PyJypjoMYS1rlgAKssYMjiwul8M9u3GuPEaIOz0L2b3+gCYIngjKqnQSkoCITxoNdlDYLEl5UrOdDJk2hWQuD81CptlIacAhCOI9LBIOPTsoq2nmQ7O14mvseU5ES0RLxMsDOvnoJ4+wfXK/e+qb2RL9yIHeDixajbhk0a5o/fX0+Wq1SCRZliAbM7V9jyRs+D/jcaehK55w2jMefypq/fNd0DOecNrTL9uty09/WllPPv2p6CmnP/Upp3/Hk09PXBj4SU86HXVCSZtIaFK5wQIfiDzqElSf3dAqKLbkYDeUkDC1tvOgydNO/QegYePv7mxV4ygBFBRH5nRsk6CYmWKQ8ljHtZ/O+KxKJ7AI8p4GaJtOMueRD2Xuw95J7uOWiWOPhNpiB4UubTpZCxsngU7IQy280mgGmng6NlO6Qye2fQKd3P/i8++n5zuJfuTA4juQLv4StcIeDlz7mYd01kAkyPLcJyxIU4eI0zRACYFLE0QQ5Fwo0yRBRC4x4EiMY+IhQZK0q4iDXGJ9k46fiBGdUGJtaYCIKREBKjfehozAN7EBSURLRGNEUChCCUfcCykNSgCU7zjlH6LIj0m/89pzHv+CL6InfHcoR3iWPd9c0utcdrmhhKCsRCfAh3egCejgS3TifQCRIhk2QjxdfHgDbGM1JbnWTH0WqAUKyT1o4nxRC52QJ4nINFcBnXazwChZ+3+7c+z4FroPz3cuPv9ler7T65otRl6rWG4H7E6y3B4s5ep7QYmZAZEgi1PDiyRJt18srgjc1302cS6IdkWGvxMXikAk1ssOKRE1u0o7ILtbMAQi12q1vnIhf+/I8hx3BiG5nYU8EBm0nSPceZcJB7uJpBNKaIK2WgkiMG1uJZcf+ocoS+6nZI/EutuzG9AE/Z9fOIcSQEF9GKWHfWE8Lkv4a0R/uO7IezACXNhNJ5kr00lubXygE1ADqgiZDDRhj4S+AVagE5JUMWARMGxCkvaoQJOwuQKdZD7hkJZZ8W5Z2juXbGy2oJP28x1tn4zoEmsYOTBTDsT7yUzNSpMZowPXfuYhiBPwi57S9OwfuKbONgmNI5Tw4IbDIHsRuWQHSpLihwx/x5KgLZdwh6GqU4YRQAMq15JHZCgRAdoJWrveUEKVKTbgMJIKcWnwCpHYTglNUJlIOARKKE00Q5cd+HvTE5p/b/mBSqDEnuN0fXYDmqAyo4ApqOspetnZtfFwSdAE8ZoJymrRCdgBagAWdFlrACWBTixJhqBdFfZRqEqMTkhSRcwzHZ8ldIROfObW7fM7qyl9T2608B9Asec7POIZblET66UTyQE5UN8Bu6XUb6+Wi+AAv9lRXAlEcuxv7ty80+dQlrXTqW14JEm6/RpxaYKoZqekDSUp1SSSxCXtH+vFISLVpbQUdbsFQyByJWjgKMjyROVgJ45RsrMjQg7RBUEkiAAxOCIoVIGSItcuylACkaB2BScp13G4GWpAE9O3r34BhdRef4ASiATt1TABUKJAE9PjXvBFOsZVEnfVkA9xeozLiwHx4gnKqnQCPQT5ABmwRWjjwZEgi9cazmdJsxky8AfJ0CxzBIBIrCLOstDGgmaDDZjQJmyiZMQppEKDlRVndAKg2PMdvQGl62tASTkwXw5wY5mvCWu2+3Xg8F3fv37n95kgEmQj3vj/7oyI09Qhf/5nUbr9AjEioTZxbgdKOHZJgpIkgUgQgeNPEpIEpiQJh0mSOI6TLj/xLliChnaznap2IrxfZDvctU2yAx+xGmooxaXBIRIU67i97cSt6rObWEVQbhkOCyghMEUIAE3Qo/MvIKvqLL8t/bvOJJmySeWYKhQB5Xdfew5o0maU7wqMQi3q7EJytErThBcGMBGU7dAJkIF8Fh7u+N104n3gDErEox9PLx+e78AcZOAPz8OaZlp0DwPmPqEK+KAq9w6I4ZCgTTaNgCahS7F9Qp4dFOgE2dfbC1AS/ciBuXVg+7YztwvQxPfjQOOO7zVlHdskW/9wAUrP/axLk6DKu0nS4rSuKCkikVimUnLoXIJo2SkjD6ABlWvJIzKUiADtBK1dUEKVKTbgMJIKcWnwMpFQU0aN3VshSXmbpNIyHPaAEqpQ7AuaICgE8eyGKvQtyd9tbSUPuHgdcTicQBPDlN993TmP+64vIjCFcrjRBu0FmiCoIigLMBECHxiCgKcw8Ac7HN4HwshDmfrtWgJq8wJWct/um3sXUKOZUguIcBi+gY39leKTxqGqCCAVH5Jh4yTLQumt9M45Lll4AwqAoh2URD9yYD4dsNvLfM5dsx6dA/nt3muyIbnfWND6pwsIdh7ccBBfMo6DpPs2CTWOP0nSLu2vpPoDQyCyJWhIzniXu8VfUSa3eBdyt/yr5Jbv2tGZ70pMZ72bfuHBTYQPhkIhm+zOlwgmScpQApGg0KP4U4YSqAIV6VDQDIWo+LO1maAiDAXbJChE23/KfcnZF+Pe7OLP/8cn7gCdACUko0CT+91z7dJ7rMXMnkGnoaBJJ6OAKXsONViD6PB2N14qCJIIygrCoPThsUvIeAd/wA1BPmyQQBvkwY5ySZKNkFA2U0pqQ9lM6UXgfRg24IgvoCdzIWZ/hec77UdCzgAFGEIruWNK5R2U+1+szxhvXzD9LQdm3oF4k5n5mWqCE3EgO+89yN32PSbOuQMlvFhQSCWJS8JPr20SattyCf8NG5qW/tzsnYnp5u9MTGe8K4CIlaBD65rYulWKY7IdgCbnvDuJutW7k6jbFNRCuxLxQCSInGkXZ7RG8OzGhoVIkMVWGpQQAyWUbJNQlhUbgCaoXFUn7jTYeoEpv/XzZ1/2wqujLL932QEfu7p0q4UDeC1479rKAkm0Y7/9BCdzcIb3O3Tii6qCPIqORS8Oc59QRePcu2ZBJwFEfHvfhThQSDMQzFp4M2zoy1MenyVWBdZAJ/RlEOd2dlDsEQ+MkuhHDsiBGXbA7jMzPEFNbSgHRtbpNu8JZHDrdyfICMAVY3MXQoR2SInKhyEuUoYg5ZKqCQg0QV/3nmRb7tz3xNNWoCTmCSpUUW5JbXmbhMM9t0kic9AYVaCEWkQ+irNfcrc1FDMDBdyGeY5jeyfWETSJioBCYLWjLXlFmACCoGyHTqAEVCQjncATBX9s0wk8QYPGKnlXbJ8AIqnPHLRBnlpGIM4CfwTWyTJHPiQbgVFokBVVPjzlSTkM1LKaZllo7EqAEh/xfN936nvuR/sS0GhyYAQOiEtGYOJyDXH2uxNkD1Mo7SFL8cyFxy7tbY+bvytBxiKz5A5oYsrOfy9iauVnNxyCBZQmiARZTAmRIIKoPaEktrSgE0osH8vy2UGTi+7SRLG2TmBQ0qtlBBQC0CSqV/uh8/XoJOERT9jn8AV/+DZkwBkI4EC5D5srPgsok/uAF8QWZBm7I+TbfaEQ8lALDUIZxgy1xM3VNqNkmeMRT5Ik8RHPn/zFEdtEEaBgiyQHZsSBeeGSGbFrKabh3JloRpY61pmAJvauGivLWFAmEqzoJJIylNAR0SyqsgsCkaBYS1BpQHdEPmpjs/28BDRBMd8nePwLvshOSWxQnmFMxgA0iYqAQhAbDBa0J7urUy86MYaghDzACOjEezZOQJCAJt63SzjD4twnbJ/QsoCYYvskK5UeNAFZEhCENlYyeO4dZZaRD4BCHLZPig/yEDCyc+Fb2vD52PGtj3z8SNxESfQjB+TAVB0Ql0zV/tk7ORzAgxs0e1Mb+4wad3hv1Nqd3hfP1wklsYqgwhMhs40UxKhCJGQ6oYRkWdwsy4fEd79TExEgx59tcXO1kJ2S33ntORYPWkZAIQBNLnvR1abqON3go9qm47gLnWRQSIAP0AGBCPBEmU6gEPKQBFXGEAS5D71CWXTPPSwSBgl9fcCUiCCgCbV0pySmASW1YA0Z8lnmGDbso6yGB0BsosBwtonCpYmA8v16ytNxNZVYaAdmZXHiklm5EjMyj+Ukkq7mgyamA3fZYRRuYOXGFSjhrobKDSpQQi0qN6iMQFUFSjY3E0QegSaIoCyIBLFT4lw5PWT8Wz93dlRglO23zQ453Ha3XXTiwwaGzxKfEQS8ABcgDw5hBQ9/hDzbJ6ggDx/a+KKEKggAF1+8iYSOMAelz0KbEHi6MHLoSxX5WFILmngf9ld8xj5KmoUP9aSesgAU7x10gv/soKAPfzw85bm/PsuT6EcOTNQBcclE7dbJBnVgRjgJNDGV519Bigpw0LITSkiWVRmBOyLa1WD3V6RQxVnucvsGIkZGJEAJcVkVfipX1Y/ZPokKjNJrH6X2iEYnlBBAIbZAYAhHDDSYoAQ7DEEGXqDQwIikXRXgAxChL+J5TWjAFghdIoV4H/5X2LmnAWcJAGQjUOa7H/HQxQBlO+/y3DkXPsjD5Th6bAvP4yaKvrGt9tWegYaawnw6IC6Zz+s2ulnz4AaNbrwFH+nwXd8fVV4qt67yIUSCyplKA4gElRtwCywfEsdtEmJTeRBDk04ioWXpw9EcjUYACgPZVkpglP3to4AmyBd44Qt0aKwGtvDeAQeUphCHzQyS0AkiaDcLFFLgRU730Av4QI7nQaUqkCVlqLXwNSehO+CSt3s5cIRDyixj7ySMHL4FLpwubRZvlaUEUFZWwiYK+yjsoCAuwb3vdh50wj7KDzzvbngiyQE5MFoHxCWj9XPORoNI2JBAczbv2ZjuaXd/v4l7VXlGFSKhqtKgQiQ0GBRK6ILueF7jjuc2CNBoWKT3O0hgEaCEEyEYJYp8ULGVQtVAAk0Q3NBW1t7bgC0sw96GBQBEodCAhziwheUtsJIMVd4HOqExg0AVVEEeHFIaf/gsWckLuMl20MRnEExAE0YAYnyWADcZSZ7vUDYC3HjvnAtvld3aCl8pyz7KB//8hkvufh6Acr+Lzp8MoyT6kQNL4IC4ZHEuMpAx6GLmgkiGWNegPuyz/U0v+oCJcSpQApEg8lEjgZKNTW6Q7SFBE8Qts308hr8gjwglleEDoGy/JcXeLWtlpVmfQ9DExI0/CDrx4SPEgIXPAkDAFiHvAzeEmGTG5gcKtcYulKHKh0zuoYoQsOEROmahIwFokvuCRXx4i0nuC8ppppyFKhqE73BjhKxokyUASh43VxrpejN83pgTwSurK+ErZTc2WohNFASj2D4KjPJy7aMk+pEDwzsgLhneu1nrCWRwC0ezNrHlmQ90cvN7fQDZkitEQnJPKOHZDaJlFIOgeEgAlFCWRYPb3WYVWXIkby6xoSgDlPz82QR7CnaJMjqxsnfHXadeSp4AABAASURBVDW76MSz7RFUppPG9r4FuABM+Aw0MbXJA7Zgn4MS5d6qQglM+Cw84qGkisPcF/DhnW83c3QkaVU0C6SShU0UGjQbzmdJlia08ZkDUEATWtKGLuy+OJdwCRCAgj70ZzdcUjzrEaPsusA6kAP1HEjrNVOr+XAANEFxrjCKKWYIyFBKY3UANEG3vM8Hy2epQAnPbtCuBt3e5VpuQNwVSsibQBNk8f5LiASxIzLEUBFQCC4rnvJYuedQu+kkcANkYHSSZ5AKmbYgAyihUNj5gB6gBO9DbQxCGw+1BDqhisM8C4ASGmQOsKA7ZRZGbm+iMA4tEXmawSKUoaMPdMKDnggols8CvqSMA6DYPgqAEt+PUmaUe15w7p7LVwM5IAfEJYv8GoBRTLZIiASRscN5Kedpwh2egiYIIkHlygqRUFXZJiky1bd79IcSuiD68FiHYGDRs9QHjIBIUMjtrgqZ+KdP1XYb0CSKYaO267v8bXRCCR8UgkgQSMEjnhAUSWclfBCUBW7wYf8j5Nsk4YGS9mFRRV9kGyGM1q41BGEQ70PjtWYYikOYg4wNRUkzMpQ+Y+/EhffJeqMZBgxPeailWZ6HL5YFU5g/jELAJgpiwEu291G0lZLoRw70cEBc0sOYRUxzg0eLuLJZX9PZl37QZBMdK5TYKUATZPEQ5WUvuhqSGKLjnl0YNoqzlNW1L7d2BByUlWeBTnJAxAeMiFXc+EkaLngf+CMcFk9/QlXROHCDVYUSqkh9FgCF0ntnuyPEwEeWJRFQbBMlyxz57VpH+2I0oIQ4yUL7lFqSiNpGIz31cMbeCWjCKmAUBKCgjY0WWykXX3gugIL0lpSuV1/J5XRAXLKc173uqtVutA6U6SSOPMKdkjimBaAJsnigEnQYqP1wjTkLoi8l6sMo3NRN3OwR93tK79t0UoCI835H4AjyGWgSFOLtd7ACKLSkNHTIGcTTBrZIrRnkkRdDUSIOvecxEETi8iLwRS353JNxoAwZRgtBloQHPcV5m41QyxYXVTRoFIxCUGaUra1EjMILQJIDZQfEJWU3FjDmwc28r2oBllC5BLd5wIdMEAkq1/Lf06ic4caGyhkaoHKGuM/jFNAE0WYGBYtAJDYxgijyUVZrpdEJJTf4bQWqyLPAKNuZNqAABAEdMg7DG1C8pyQOCOJ9CKgloJn3kAd7J5AEbcKAPnOQB6UvgIaSuMgkpU2UNGdwWjZShkIBTbyjZEwOmw3Owmg2suM6kmeoRiNFBL0Y5ZLtxz3aR7HrrnKpHFg2Llmii8vtHOnBzSxf8nMf+CEUZ9hJG9zJYq0FnW0gEmS1fUrQ5ILbtb/spEuzPkP0qeoy0ACpy3o/LYqAQkCzqDg6aIK4tZeVF3RCWU4SgwhBWZsSPBSSudzer+pdqPJU7Yg9j9wDKIFgct9uQOB90SZzBijeJ80mGVomsAjg4guIoeVKEdghLEKm2XCnHso8XRrtAcl77xolRjl8MOP6Ih79sI+yuRWe9VwiRkn0s1wOiEsW9npDJGhhl7dACwNNEHejyppqQkmlV6/DLAs1/dAk1A/4Zx/IcllvKKlMAjSJolcUzUATEzd41FhNKVFeAIrP2KuAG8K9nySCD/KCSDzYUYhD73vwhw+bKGGQQDBhHJ8FImGQ0KWZEiAYhdJnSXkfhQaeXqvtNoYgG1stAho3Gy4yyqmHsyITZg6ONBohYB8FRtk42eJVQbKTUfTRHq6+NKsO7Hde4pL9Oqj+43ZgSejqdg/5MIpmjhBKIBIURwZNUDycSgBbgBpDnJpeUQwSZXSSpgWIZAVD+LAt4UGTLMmzIu93AwoNQkuqCoXYtb+KzTv2P8AF8KIgCQCFDAMmHtoAHTJiR0wDStAkBN4R5J7Gie24EDdXi2b06sEokMcQjJJ7d8n2PgqM8qKnX5joRw4sigPikkW5ksU6eHBT/K1iXh0ATdBooaSrF6AJalftY9ujPcIgf11We6ek/6gRUAgY03T5i6/eoZMs0AO38AANWaCT7oBCswyUKegEqshcnnEYRF8UuvtwWAQBO3LfBpS8yGdZOBGAwiFx0SxkOET7ZBQ2VNgy6dxHYU/F9lE4xcc/fdQ+2gOj6C0p/V82w9Sqz2QdEJdM1u9xng0oWZKthXG6OBNj3+lhH0ZxKvwndYwtqAkSWfHsxrp0LUET1LWqnax5pnbrvf+CHsCIvdsN2IIxozgFdHL5S65GsIKJm3cbFwpA8RkUElDD7vdUhX0RwwuYA2VwTLHVUZCHde/YREnYDsl9IJX2d9j7sGXiswAlcWQG56FM7kNyCEbZ2GyBJnRnhgSRUQgY1p71wChbW8nmVotm8ePHYpQBX0RqPisOiEtm5Urscx6LDSWsbp/+zGN30ASND0rMkyx1d71jE9nhAOVQyAI9DHCKoZpyiijQxPTUl34JXAjyAUe4f/uMPY9CRQZ6MHH7pxY1G7QMDYAPquImSoh3dwmZLNBJGNM7Y5RihJQqtNVqYxAxMEEVGhWjGKwwbJlR2ErhFL0YZShf1UkOTMgBccmEjB73abRTMm6HpzX+XR7xEWRnhwSQxf3LPXdKrDtQYgElaIIIFkZsnERAIYiAYozCbdsUYCIL/AE0VGQNKEMbH9pAJ8iakUflTRTyecZGS2jpae8T4IY2CNzxBc10ZZRTDqa5D2QTGChzvu/7URjT+yTuo/DUz9CkUXxFCvsobJ+kxf+yh4B9FBhlZcVFRtHXuCX6mW0HxCWzfX36zm5hdhFYCOq71mWvBE1QTReGgJI4MmiC4mH3oCYcde88jmyXMQ1KyhWgSRSMAp2Ych+esFD6rOAJSs9OyS6F2iLZtE0UH4DDFxkPRhQBbZAloRBik/dslgQdOgB8hHNR64sukVEI2PCw9nsyCn0Zgcbspdl8KoxCg8ZuRmErJTIKj3vKjMLjHr1tNtHPLDkgLpmhq8G92VRnTrRcmD0SFoJYUa+FU9uraqnyFz7iI6j/kvcDJXFk0ATFw7kLOqGksoQIKARGJ5TP/P5ruNkjD5qYCnrgNo/IIwKUZw6FZgVzECPy4AIlzUw+27XzwRx80Z5yWowC/VQYhaleedURNlGQGIVrJE3dAXHJ1C/BzgS4+5piqtetmjwtY7PFCMorYoGmxVjawKvo2wE0QZ1NIBLUme/MlB/fdNbGzD3u3LzHBc14OC/BnlBSWQhoYvqNnzkbOkEACuKG7Y1OsqSx/XFf78OGB6VpG0fYXCn2WjwPcYiDYBRGMPkCUCib258WZg7eh00UytEyyqmHwpezNYt9nc59FJ7y2EMftk96MUr8aI/2UbhM0uQdEJdM3vMBzsituuvtmfwAo8xhUxZomsO5T2jKoAmKJ6tJJLSvCSVxQNAE0XGXZvVRzqBQUl5UmiYRUIxRoBMTeAFABAVSCbsgfhtQiqoAIiEDf2zThg9BO39gLaWZCToxHVzPLMMcisYBU7oyyqEDmfeu5rOeza3klPDFsg4wioxCYIwClNj7URiwK6NATlvbH+1hHyUyymJ//Pgd7/hYRVwUaVoOiEum5Xzd8y7G7bnuanu0A8561Cx7GjRBkSH62wGRoP5trLZzQNAEWe3MlvuBkvKiABQEo0AnpriJAqb4AByJz4pNFF8wShY2UYAM7wMNeA4LeWvpE5fCHFVGcQmDtLv3ZxQg0HOiAk3qMMrmZnLKwQA9kVE2tlqgyeZm+AJZgj6MAqzEfZQyo8S3pPCsZ8EY5Z3v/ItEP7PkQDpLk9FcejrAjRn1rFbFcjtw54d9BPX3oD6RdEJJHBk0QfFwpoJRQUl5UdCJqcwooEmUzwCOQllBGAU9GKBAEjzlifK+aDYpRvHMpJhSHUbhoU/cRyEATawkMEYBaHjuE/dRFphR7OofOnTwQx/6K4tVTt4Bcclwnk+0F0SiXZOJOj6fJwNNUNe514eSrt0ryYsvXEOV5NQPQYexzsEAhdJ2UDgXQQSU7/yhazzkAaYEtbdGGo3UwweFIqAQeFoW2uc+SjFOOBePeCr7KK2t1inbnz323oEXPnO9GAWQgjxsH8W2UuxZj9EJJerKKOWPH7OPgubuLSm/+qvv/K/ihwta1oc//OHyoeJJOiAumaTbQ54LKBmy56J0kwP1ryRogsrtRwslcTTQBJVPtCQxaHL5S64GgwhAE9Ov/NRZuxgl0AmPadgjCdwAGYyDUXi+c2j7s8c+gE44V1dGybPw5Sh50WYIRvHeGZpQosgo8aM9m1stGCX37srioz0ACpovRing5L/AEdOSvJhnc5nbXDKbs9Os5IAcGMqBiCYRI/oP0+fZTblj52igCSq3Wfi4/MAINDHlmTNAoYyM8qyXX/Nc9lGyAlAofeAG7vFrzT32UWgTFd8z6xLGcWx7oM73o0yXUZqr6SIxysK/hmd8gemMz285p+fcmWg5165Vj8oB0ATVGW1oKImDgyYoHi5wUIaS8jKNTqyMjPLrP332r7z6LOjEFBkFwyN2dGWU1LHREtWmGbpERvFZF0bxGS1Dr4EYxR73MPgQ+yj2uIftE58lcR+lF6NcfOG5bKKgWdtHOXnyZPlSjjHW0PUcEJfU82mCrSASHlugCZ5zDk6FLXMwy9mb4h0e+mHUZ17cI/vUxqrOnZJYFQPQ5JK7rcXDxQt6QUllpUYnVvrMQSemyCg88dknozjnOhmFacR9FM7rw1ObZE9G8T58mKi11cqzZFBG8dtfhw+gIEMTnyUWADqRUQi8d/FZD4xiX+O2YB/t4RJI+3dAXLJ/D0c8gohkxIZquCQBTVCnEyOEEgbPil8noAnicMFUE0oqqzY6sdLvm1E82yQ+7Ij4ULI7ElSHUQ6up3SpMMqhAyTD16Ic2v5+FD8go5x6qPg08mb4ELLvyyjeO9DEnvUQxI/2vP9j14tRKq8ZHRa/SGSDHJADS+AAaILiQkcIJRAJiiMTgCYm4gXQcFBSWbjRiZU+MsrP7Dzr2XMfJU1dnrXlB2EUsCAvmMNnLjLKTtInh0bKKPCKfa6n0Ug791E4L1spFUZhK6XMKFN53PPZz362csl0OBUHxCVTsb16Uj2kqDrScaxtpA5LhkyAJmi0UNJnKnNFJ93XMRIoqQydpklbLrxTxB70/PogjMLdfU9G+bE3/Mc2joSzACVMI3SswSg0PjTsPor3CWiyucmzIUdQYZTGqju50bJnPb74DDOMwlqaq6nto8AomDO/H+3BZGk/DohL9uPeCPpCJEg33RFYqSEGceD8B33Y1KdTlro+tVaV1fsVcuk915F1mbvyt37u7CHm3OKpSb1u3IPb2mYU+u3JKGnqur5n1mftBz0v/5l/++nvuwU3/qCs+/tRqNoGl+o+CtP3vr2P4jNXZhR2O/Z8P4r37pRD2cZWy3cwivcOKLF9lMY2oxCQZ+SpM8qhQwfx/5WvfCGlNBUH6v1SmcrUluOkEAlajrVqlRN3oMYJu9JJljq0Z++s3u+PLHM2FGjjUYxWAAAQAElEQVSCLFbZ1YE0TZ78PVf/5s+eDRNCA3X3UbLwRhPu6yb2Hr731f/2s99/C5+1GcWlBNttMjfoPkqFUXxxuq1WGPPwwawXo9AM6NncCs32ZBRmDprYPgoBh4zcXE1ZC2VlH+Xi/X2059jfPNT0K2981daRv6po88hfJ/qZqgP1fq9MdYrzcnKnD/eO81Jh7ziHX/axy3SScUus4UdW75dHhJI4JGhiihkFXR2AUdpy4SlMH0ahWTP8D4QL8iig4bU/dEtu7Yj7usmXGIXTURXUbR8l5L0DKZDP2vsoMTk0o5xyMBuUUfz2/4SowihMhmc9TI9nPfUZxViEkuX3F2hCM9S/mWrH5EC9Xy1jOvliDcu2B6pz+6zTZrG8GdlqNNBYHSjTSf8TDQ0l5WFFJ2U3LH7Si8NmicXlEvJoay9GybKkwijcxU0GKJSM7D3bGKhAGV+UWftZj0vAIOR8gTjeB0YJXbJ9MQrjhAEZM3NDMwobKpFRVvLwGR+G7WSUysePIQzEEgYVvdCgvdR+nw6k++yv7hUHQJOYgT9MlUy5TaxSIAdmxIHbfsOHUJ/JjARKbHzutfe/eB3Z4ZKXvaCkYgumtdWNUZ75/dcg+36UXozCgNAJYmvMZ9CJKdDJD//CvyOfjYtRtsI7TsKJOIVpIEY59XAGmvgs/M+cQ+ADmrCQCqPYR3vueUH4Jrf+YFHnS9UYAWGaNBkHxCVj9Bn+MMVzVA6TJNYo2MMBrNujhapH6gBogjqHHC2UxPFBE1PMLFtQE0oqtrQBhV/krbDDEZ71/MzZ8T2zAAqKjMLWgulNrzzzxa/6iokM93X0PT/xFfTq7z0DkTRNhlHYAvFZ2J4ZOaOwlVJxbOhDocnQ1g3akZfzoF3UXg7IgWVxADRBcbVjgpI4PsFy0slwUIJdURFQ2AJJSozyK68+Cz3r5e1NlMgob/zRM03P/5EvG6C89odu+fofuSWAgjybKMiH4Q1Q2uV49lHyLIn7KCNkFPtoT1hD7z+fvyaJ+ty/XY96t02EJn3MGWHVqLlkhFNblKF4lLMoS9E6ltQB0MRUZ/3Z9qdv+jTmJtqnliro5BvufQARL7z2DyUVi7C3reJBj7fvcCu+HKWTUd7yqjagBPJg08KHhyxpGsq8uJQeQEHd3o9in+tpN6AvKrrn3jElnw3zfpR8H4zSaKSsgmc9jVXnt78On5n00ue/en2s+szf/pnFX7wht6BrKTTpastok+KS0fpZHQ0o0QOIqinDHmPmsF3VbzQO3PoBH0J9xhoJlDB+Fv6rn78T0ASFaHH//ObPDvP9KDX9SNOkLRce9PhtRqF7J6NkWcJ9va0CMmj2wh/7Cpk8C98z62mACkZ52Wva34/iHBDQfj9Ku0EWMvRC9Rnl0IGs8tnjfEBGybPwdhNOioxRXvvDt2QJvfSKR11VqTrzlreuZGbxcNHnJC4Z4xXmPiooGaO/GnpKDoAmqPPkWeY6k5UM98hKpvMwQkmsAk1MMaNgCAcw3/Tkl1z96z99tt9mFAAFlZ/18LgnywKj8KznTa88Mz7rgVHQ977639DP/8AtfGhDM+RAAeRcIBL7fwqG2iwh9lm7tj+j+IA7oTvtYRRfbL3wWMe+HyWvxyjeJ83VgFB5wShJkvzNP5yg7KVXfceVaDNrb5y85bv/Gf3gM77Uq73yE3BAXDJGkwUlYzRXQ0/bAdAExVlkmYtxr4CbYq+qmO+EklhFIDrBhH3KHhtxLdravY8CoJjsDbMAynN+8Jr4rAdGQa/9oVsiX3ADt3/kMzZjoBNTm0I8OFIIHPFFgwqj+KL24HrqjUi8O3Qgte9HIRP2TooGh4qvw/felRkF+CCDSNo48T2zJO17Zn3x/hjs6o8mNHj15X/9rle3EHF/Ne/0vv4NVLt/B8Ql+/dw1wjskew61sHoHBDnjc7LkY0Empj2HJG74J5t+kNJ7P6g+xwwxYyCmg4YlFQac2na2mYU7519qKeTUTIIoyASowFaRgEoyNMA+cSlYEo/RkmSdoMCXNo7Jb7EKEVMm6STUbx3cR+lD6NwCtOeaGLN+pc/+rr/6N9AtSNxIB3JKBrEHABKdO80K4Yocc80RF91mboDZ1/6QdRrGtz2elXFfE0oKQ9ldEIZB5mNYEZn0RVKKnPF3iCXpDPAKMXeSSCbQwdSH3hlYEZJSj9XXnUUlRKDhYKSwfzaR2txyT7M292Ve6qgZLclgx3hnil2w9IYK5gLB0ATU3m23OfKh13jIaCkPA5ogsoZxft3gAsX5EbMKN62W6zMnC9UbJmEh0E860kS+CPgSJFsNxiOURiqItDEVMn3PxSU9PdntLXpaIdb5tG4py7z8sexdiwFTZANHgM7VDk5BwY/U6QTbmx79t4nlMTxQZOHXnoQxYyC6ECdzZLYuDPgOga5ETBKsRMTEMSHLZDAH35sjJJs/3zt2s3tsP03dPJzv/LfFVndg5/yzxVZXuVkHBCXTMZnnWVIB0ATNGRndZu2A9DJmff5YP9ZjApKOEscCjQxkZRwYJ9QwghlBUBJA6AUhFHsZwz7fhSfFYBCWYNR2vjiw/+vxxe7LJT991HK064TgykQSaXl/S9aj5n3ve8vTTGjYOQOiEuGt5T/fEfD91fP6TmgM0/SAdDE1HnSSBKdVeUMN8LyYde461BGJ5RduyxJcrRQUjGNSxPkAqZACUHbjJIkya+8+qzy53r6v2fWQyemHozikjbE8KynJqMwhzFJdDImYxk25Y80hAMQCf8dj4boqy7DOSC3h/NtdnpV6KQrSXTOltteZ7KS2XMo0ORhDzhY6bUMh2OFkoqBXKkgFxjlad/7pfAVKduMAqCgLoyyve0ROYNg50M9WeILRmnc7HJ0y9t+6y1u05ZLajFKMuafD37wM2jMJ1m64dOlW3HHgiEMU0dNv8SM3SP7TVV1cmCmHDA6oawzK+5zezbbE0oYIc0oEtDEFA6W4M8koaRsp52Xa8eDHuSBDx/eR9L52ePn/OA1qL2PQjNT0dgXJYyydsZ3OJegMGDq0kJlRvFZd0Z5zMMOl2dViT/x18cqmaEPQRM0dHd1rDggLkkgDFPFGh3KATkwVgfOuPcHTL3Oktb4/VQfSspnMTqhLCcVj8kBriN0YvJZABSYoyajNM94qgs/gUu41mGoNNku24xy81u3N1HYTfElRhn5cr7h0b/cZ0zQBPVpoKqaDtT4d19zpNE2m+potn1CWZ4Fh6icUTx5B3QJJu/5BM7YlU649+x5am5Ue7axnZJezUAT9E1fv4CPeGzTotfCx5fvf14uqwEKpc/2YBR36lOcSzY2TlKi0HcbSrj05cO02EShLDPK+NbYZ+QPfeiv+9Sqqo4D4pIuLtn2CWWs43bIIYoZBXJADozWAaMTSoZNa/xm4s5Ey/7qDyXWlxskAWgSxeG8qz8cjG91A52Xq4z5pk5G+eU3/9BHrvyXP/mzf/muF/80KrjEpW5b24DCILwSKEtq76MMscx3fvi6+r2yrPvLFDRB9ceZWstZPXF3W2d1tlObl4hkatbrxMvnAGhys4s/gPosPUtdn1qrSjP7u1/ZdZh5B5SB4KCfOwPW7ee8gSpcwuVAxiibGycfeOmtv+G+t37Dz/0vdOUnrgEanvSsNyOXJikbJHsxSjLxH2YUzyk0iVYMGohLBnVM7afpgABxmu5P/NygCeo87VihpHw6AOWbH3gIlZMzHu8HDmZkaWmabB58WgJ5uoRtEtP97nXWtz340P/5pWejP/rgdV0ZJXWOvlEjWU75y0sGHVBoMqhj1l5cYj50KXl20yWrlByQA5N1ADQx2WknBiWcLk0dJQJNTMRSVwfGxUNcgW1xOUyPeujhyCiXXfHmXowS59n5Za+xatyB0GQIh8UlXUyDSJD+07yLNUrJgek5YHRy+j3f338KQz++qQzLLbCS4dDoxEoOx6xhhv/Nnz17mG777jPu89708PW2cWIlVwc94Rlv/t1feU5klMo+yr7XNJoBhCaD+igu6eIYRIK6VCg1bQfgxWlPQeefvgOgialzKmOFksrpuB2aKnkdTsABo5MnPvGJBACKqbyPAqNMYBo1TyE0qWmUNROXmA8q5YAcGL8Doz6D0QmlDTxJKMlKvzuNTqy0mbRa9rfKMTrw7U9906O/MXxzGmhi4mQGKJQvfvwnOeylIb5Urf+Xl/Q6kfJDOFD6tzVE7wXqov8QX6CLqaUsnQOgCTr1bns94nF7O8Mtbc9GZSipNDY6edRDD1XyOhytA0DJ773tOZUxjU6srFRN97DV2tJXrtW/BOKSBCJBenBT/0UzxZazdpmmaIVO3dUB0MTUWbv9HtbOmp3MPqHEBuK+SACaRHEojdYBnuCMdkBGe2ffLy85cGAd0UwatwPikvb30I/baI0vB+TAJB0wOqGsf9KRQEnX00VAIejaQMmyA1868k1f/epXy5lKzGaJPcGp5MuH//K1B5cPRxWDJojRso5NM+f2uJ9qywTf6mgPH+sMoTYL5ICWIgcWzQHQxNR/YaOCEtss6XMu0CSqTzNVmQMnT24QnHHGGVnzPBNQ0vkEhzad2j+a9PryEtCkWfx0nrRPZnNzq0+tqqIDS8olPLiJFiiYLwd07ebres3ObA/f9f1RQ8yq4z+Pu4yxJ5RU+ghQKobYYZ7nFlBCJIggiic4BiiUMdkr2D+axJHve98HxjgGwEmMFYzKgUXnkm4+cWPT2xS6GaOcHFgWByqAsudmyTigpOx1BBSCcn5p45MbG9d+7drTT79JpwPf/sh7xiRoEhWTlWAkaPItT/kdeOj1r38LAlBQPAtoguKhgv07sHRcIijZ/4tGI8iBhXHAAOXgXd7XZ0XjhpLKqUGTqErVUh2efvrp137ta/WXHAGFoNLra61vRJVkzUOIBAEiz3/+M01XXvkhBKAg8oihQJNGY5VgGTXqNc8xl0AYpoE80U7JQHbNYGNdwRm8KAswJdAkatDlDPr4pv74EVAI6vdagJZAia1iIDSxLpSgSRSHJtDEZId1SojEmrFZYkEsuzLKgx708NigM7j66i92JpXpdGCOuYT7k6lzVZUM+FLJ6FAOyAE50MuBMqDsuVkyPiipTA80MVXyC384HJpEWyKgEFjy6huff7PzXmxKDl+OVm76dKpe9IKnoNe87o9f87o/NpFE7ItAIQS9RC1iEwW99a2/hgAUZO1bLb3d1ZyoW84xl3QuEf4wlavIgC/ljOJZdoDrZZrlSWpuS+IAgLJ25/eZui55YlBSPrvRiZXl/MLEhw6Hb3EtL2efaBKHAk2uP3lePCwHhibljMU8poE5LK5T0hgBKB/84LsBFPTgBz8C0fcZz3gkpbSnAwvFJfCHKS6bOxyZeKhg9h3gepniVLmIMSaoHJKR5MAEHDA6sXICp6t5CqMTK3t3WYSaUaHJoF50PsGpOUKjsXrFFU9BH/jAOxFowu8uU80RlrbZQnFJKzUaOgAAD59JREFU51XkDteZVGa+HOAi6h/zfF2yhZ+t0QnlTK3U6MTKmZrYqCYzbjRhNwWVZzvoZkm5bzn+whe+8Na3voFfZSb7hWZluZlic2DBucQWqXLeHbB/zPO+Cs1/ZA7MzEDNO70vamYmFSZidEIZDubwT5Z2vzeBJv2/CrbOWjc3N3s1u/lZd4tVQAmPY+LhEAFbJvQCSijLsl9oVhqdWFlus8xx92s/v47o6s7vtas5c/4x12ypZnJgkg5EQCGY5Hn7nws0ierfci5qN7fCe0hBEzTuCQ/9BKc8MUOTcqYS8wstyu5fsay0XJ7DheISLqdd4OW5flrpYjigVSyYA6BJ1OwsLQIKwezMqjKT6/0TK5leh6AJ6lXbJ7++/XPDkSNr6+uoa+PnP/+ZXfP1k5/+9GdQ/fZ2/6KkCyV3tCgyy6OF4hIu5PJcOa1UDsiBuXAgAgrB7EwYNImanVkxk4Mbv01ZX//x7/+O6rdvNBr1G++npREJ2NNsNgcaBxaxexllFMmogUabx8YLxSXzeAEWdM7jXRb/Psd7Ao0uB8bjAGhiGs/wQ446m4Ay0GJAEzRQl3Jjn+e3vc3p5cx+YogEVUao+SFhfrnBIpW+HJKMok0UVYun+eYSuzaLd1W0IjkgBxbbAaMTK2dnpRFQCGZnVvVnApqY+nRprBxHlQa3OutQJTPE4cc+dqWps++gWyadI5QzEVAI7CZoZbnNXMdzzCVcCa4KmsQF0DnkgByQA+NxwOjEyvGcYZhRQZOoYfrvo0/z2K/to3foevUXvxgVjjv+gCYIHDF11A+W6IUjcZRGo9ajHLupxV51Au6AUXSPqtN3ZtvMMZdwMWbWVk1srA7o0o/VXg0+RQeMTqyc4jQqp46AQlCpmv3DCCidn9cdevLv3f0z9Dij7cgvxqgIKASjPcsYR9seeo65ZHsJ+lsOyAE5sIAOGJ1YOTvLA01MY53SypG3jWN80KRTn/n0Z1Cv09leSCwNSMqN19cPlA+HjgEIqGLo7pWODBXFyFGVZrN5OGdcgrmz6aNmJQfkgBwYnwNGJ5TjO8WgIxudWDlo3zrtx4QmvU4Nmnz5P92ni0/2Wmks0qt9nfyMtImAQsA9NGpGptc5jbnhErMSWzvXoMyyOcCLYdmWrPXKAXMANImyzCyURidWjnA+w6HJiRMnRjiH/Qy1vr5m3Z/whAdb0Kvkd9pk7m6cJYqTRvWa2FTyc8MlZuVUPNJJ5YAckAMz6EAEFIKJTK/WSYxOrKzVoW+jMprYl72Wm2+cPFk+HGF85MiR4UZbX18foiM3uCF67bMLJzUxTgQUAg6nq7nhkunapLPLATkgB2bZAdAkanbmaXRCuZ8pldFkP+Oob1cHABGjk1iSieraZdzJiXLJoEul/bjXr/Hn0QH+/czjtDXnmXNgQScUAYVgRpYImkQNMaXxocnRI0frz+fIkRvqN44tn/rUb4nxXAT8go3iLhw1sclPlEviUussDy9oX6el2sgBOSAH5EBXB0ATU9faqSQjoBDUn8D40KT+HIZoOeNQsud9lrtwFI2jhrCifpeJcknntHotkjxedLZXRg7IgT4OqEoO9HLA6MTKXm0mnwdNovY8e/PYr6E9m3VtcOz48a75sSZnHEoGXTs35Sju0VGDjrNn+ylzSVxkZaLkKxkdyoGyA/yTKB8qlgNyoL4DRidW1u817pY1AQU0QeOeTM3x+3x5yfOe9/iag0yrGb9Fh77V0jGKcaJGspYpc0l5DSysfKhYDiSJPJADcmC8DhidWDneM9UePQIKQa9OI0eTm511t17nGiI/+1AyxKJ6dYmAQsB9PKpX+z3zs8IlrIQl7TldNZADckAOyIExOWB0YuWYTjHosKBJVKUvaHJw47dRJT/dQ4gETXcOdc4+pnsu9/EoThFVZ0qxzUxwCVNnJXFOixxobSNyQC+YERmpYeRAdweMTqzs3mLi2QgoBOWTgybIMiP5UrUjw355yUtf+nSbhkoc4Ld0FHf5KKr6aya4hKn3n6Vq5YAckANyYFoOGJ1QTmsCnecFTUyxCjRBN8neHjMTC8AR08TOuP8TTfi2y+miIqAQdF3Ifrmk66B1kr0mVKev2iy8A7w8TAu/Ui1QDsyRA6BJ1IxM2+jESpsSaBJlmZGUR7p9ecnc4chIrNj/IP0ZZTpcwi2Hae1/bRphUR3g5WHqtUBeQr2qlJcDcmACDkRAIZjA6eqcwujESmsfAeXs9XdZplwO9KVq1vEVr3hBWZYcd7nA49vveSv5rW6aApdwYiaxwEZraeNwgJeNaRyDa0w5IAf24wBoErWfcUbY1+jEShsWNKnodjf7SFTlzaovfenTKzIcsaFUDu0Av8Z7AQB50xS4hBMPvSR1XFoHeNmYzAFiXt8Wq5QDcmB2HIiAQtBjVpNOG51Q9j8xaGKCSPq3VO1YHZgCl4x1PRp8eRwATZZnsVqpHJhHB0AT04xMHjSJmpEpLdU0+I/JOr+3J8ElTAUtlftarByQA0vkgJa6lwNGJ1bu1XZC9RFQCC570ccndFadpoYDY+cSiAQ+QjUmoyZyQA7IATmw4A4YnVi54EvV8oZyYOxcIiIZ6rqo094OgLx7N1KLoRxQJzkwGQeMTqyczBk7z8LZO5PKjNwBfmPX5IGxc8nI16YB5YAckANyYPEcgA+iFm91WlF9B6pcAtHU79y1JSOgrlVKyoEpOaDTygE5ME8OTAxQONE8+TLPc625WcISq1xS7jkEXtCFERBDS3JgrA7oZTZWezW4HJgFB+CGqJHPh5FHPqYG3L8DVS4pj8jvfTgDlZP9Y7r0b6Da0TigUeSAHJADS+YAGBG1ZEtfruX24xKcgDMQgWkgRrEuKuWAHJADckAOjNaBCCgEw408dMfhTqde9R3Yg0sqA8EooAkq5yuH5ar6sVrKgUEd0AtvUMfUXg4spAMQRtRCLnDZFjUYl+AOaIIIEDcGFA/JSHJADsgBOSAHpuVATUCh2bRmOMXzzsupB+aS8sIgElTOKJYDE3OA1x5YPLHT6URyQA7MkQOQR1Rl2uQrGR3OlAP74pKZWokms4QOgCZLuGotWQ7IgcKBugUgElW3j9pNz4GBuUT/hTq9i6UzywE5IAfkwL4cAFD21V+dx+/AYFwClOi/UMd/UXQGOSAHltIBLVoOyIEkGYBLBCV6wcyaA7wmZ21Kmo8ckANyQA7sx4EBuEQ7JfsxWn3lwBI6oCXLATkgBwZ1YA8u0X+PDmqo2ssBOSAH5IAckANDO9CPS4AS7ZEM7aw6TsCBib8+J7AmnUIOyAE5sNQO9OQSQclSvy60eDkgB+SAHJAD03CgJ5fov0SncTkmfs6ZPyF8bJr5mWqCckAOyAE5MAIHdnEJN4ARDKkh5MDoHICPTV2H1Cu2qy1KygE5IAfm14EdLuFXPDeAriuhqpe6tp9iUqdeeAfiS3HhV6oFygE5IAeW0IE2l/C7viuUkEdU9RK1aAmN05Kn5UB8KTIBYr388EGSA3JADkzMgXGfqM0l/H7vPBO/8cmjzqqYoRbREsWkAjkwMQd4+U3sXDqRHJADckAOjNuBNpd0ngbOqP8bn5aILp3jKCMH5IAckANyYIYd0NRmy4GeXDJb09Rs5IAckANyQA7IgSVwoCeXaP9jCa7+IixRu3SLcBW1htE6oNHkwDw70JNLWJShSZ3f+7RBtKeXJAfkgByQA3JADsiB4RzoxyWMCGogmMNEpiLL0wZVqnQoB+SAHBiJAxpEDsiB5XFgDy4xI2AOk1FIubS8NVMpBybvAK/AyZ9UZ5QDckAOyIExOZCWIaMcdz0f94CKujZTUg7Igb4OqFIOyAE5IAe6O5BWOCMeRkbp3k9ZOSAH5IAckANyQA6M2oGez3HKgDLqk2q8hXNgegsCoKd3cp1ZDsgBOSAHRuxATy6J5wFQ9Ks/uqFg1hzQ63PWrojmIwfkgBzYjwN7cwmjL+GvflYtyQE5IAfkgByQAxN2oBaXsF8Cmkx4ZjqdHKjpgF6cNY1SMzkgB+TA7DjQayZ7c4mgpJd3yssBOSAH5IAckAOjdaD9OeGug0IkSP8x2tUcJeWAHJADckAOlBxQOBoH2p8Thj86BZGg0ZxHo8iBsTnAS3dsY2tgOSAH5IAcmKgD7ec48EenJjoRnUwOyAE5IAdmygFNRg5Mw4E2l0zj1DqnHJADckAOyAE5IAd2OSAu2WWHDmbQgT0f07DVN4PT1pRm0AFNSQ7Igdl3QFwy+9do2WcIdoAmaNmN0PrlgByQA0vggLhkCS7y/C8RNEFxHWKUbSv0txyQA3Jg0RwQlyzaFV2G9cAooAmyxcbADlXKATkgB+TA/DogLpnfa7eIM6+9JtAEWXMCoYlZoVIOyAE5MO8OiEvm/Qpq/nJADsgBOSAHFscBccl4r6VGn4wDbJlM5kQ6ixyQA3JADozVAXHJWO3V4HJADsgBOSAH5MAADgzKJQMMraZyQA7IATkgB+SAHBjIAXHJQHap8Yw6oPe9zuiF0bTkgBwY2IFl7yAuWfZXgNYvB+SAHJADcmB2HBCXzM610EzkgByQA4vogNYkBwZxQFwyiFtqO6sO6PM4s3plNC85IAfkwGAOiEsG80ut5YAckANyQA7IgfE5IC4Zn7caWQ7IATkgB+SAHBjMAXHJYH6p9cw6oI/k7OPSqKsckANyYFYcEJfMypXQPOSAHJADckAOyAFxiV4Di+iA1iQH5IAckAPz6YC4ZD6vm2bd4YA+ktNhiRJyQA7IgflzQFwyH9dMs5QDckAOyAE5sAwOpHq34DJcZq1RDsgBOSAH5MBcOJBOafd7LszRJOfJARH2PF0tzVUOyAE50MMBPcfpYYzSckAOyAE5IAfm2IF5nbq4ZF6v3LLNm+0QtGyr1nrlgByQA8vmgLhk2a74vK6XB46oD5pQO69r07zlgByo44DaLIcD4pLluM6LssoyfMAoaFFWpnXIATkgB+RAcECfxwku6M88OgCjIKHJPF47zdkcUCkH5ECnA/o8TqcnysyTA6BJnK4YJVqhQA7IATkwpw7oOc6cXjhNWw7MoAOakhyQA3Jgvw6IS/broPrLATkgB+SAHJADo3JAXDIqJzXO9B0oP9MZzWw0ihyQA3JADkzWAXHJZP3W2eSAHJADckAOyIHeDvTkkspbCCuHvQdUzUw7oMnJATkgB+SAHJhlB3pyCVvikUUIOJzlZWhucgAHeKFSSnJADsgBOTC/DvTkEpYEi/CLHhFwOJPSpOSAHJADckAOyIHFcaAfl9gqBSXmg0o5IAfkgByQA8vnwKRX3I9LtFMy6auh8+3PATH0/vxTbzkgB+TA9B34/wEAAP//FhhlHAAAAAZJREFUAwBOpIkWDU0njwAAAABJRU5ErkJggg==)
JB
Jordan Brown
Thu, Mar 12, 2026 5:11 PM

Your model is ending up inside-out, and that's really messing up the
previewer.

If you look at it with View/Thrown Together, you can see that the main
body of the model is magenta... that's bad; it means that we're looking
at what is supposed to be the back side of the faces.

This problem derives from ushape4 being wound backwards.  Reversing it,
e.g. via

ushape4 = reverse([....]);

solves most of your problems.

I don't know all of the rules for sweep, and in particular I don't know
how to know which way is "correct".  In this particular case, you're
winding it counter-clockwise, and it needs to be clockwise, but I don't
know if that's different for other sweeps, e.g. a sweep in the opposite
direction.

Perhaps Adrian could chime in.

By the way, when you're asking for help with a model, it's good to
ensure that it is as small and simple as you can get it, and
well-formatted.  That makes it a lot easier for a reviewer, and the
process may help you to find the problem on your own.

Here's a simplified version of your program that still demonstrates the
problem:

include <BOSL2/std.scad>
include <BOSL2/turtle3d.scad>
include <BOSL2/paths.scad>

ushape4= [[0, 0], [0, 3], [-11, 3], [-17, -2]];

path1 = turtle3d([[ "move", 10 ]],
    state=move([0,0,0]),transforms=true
);

top_half() sweep(ushape4, path1,caps=true);
Your model is ending up inside-out, and that's really messing up the previewer. If you look at it with View/Thrown Together, you can see that the main body of the model is magenta... that's bad; it means that we're looking at what is supposed to be the back side of the faces. This problem derives from ushape4 being wound backwards.  Reversing it, e.g. via ushape4 = reverse([....]); solves most of your problems. I don't know all of the rules for sweep, and in particular I don't know how to know which way is "correct".  In this particular case, you're winding it counter-clockwise, and it needs to be clockwise, but I don't know if that's different for other sweeps, e.g. a sweep in the opposite direction. Perhaps Adrian could chime in. By the way, when you're asking for help with a model, it's good to ensure that it is as small and simple as you can get it, and well-formatted.  That makes it a *lot* easier for a reviewer, and the process may help you to find the problem on your own. Here's a simplified version of your program that still demonstrates the problem: include <BOSL2/std.scad> include <BOSL2/turtle3d.scad> include <BOSL2/paths.scad> ushape4= [[0, 0], [0, 3], [-11, 3], [-17, -2]]; path1 = turtle3d([[ "move", 10 ]], state=move([0,0,0]),transforms=true ); top_half() sweep(ushape4, path1,caps=true);
YV
yur_vol@yahoo.com
Fri, Mar 13, 2026 10:48 AM

Yes! it works now. I am understanding more
Thank you!

Yes! it works now. I am understanding more\ Thank you!