{"Document":{"ObjectName":"Scenario::ScenarioDocumentModel","id":1,"BaseScenario":{"ObjectName":"Scenario::BaseScenario","id":0,"Constraint":{"ObjectName":"Scenario::IntervalModel","id":0,"Metadata":{"ScriptingName":"tracking-to-geometry","Comment":"","Color":"Transparent1","Label":"","Touched":true},"Inlet":{"uuid":"a1574bb0-cbd4-4c7d-9417-0c25cfd1187b","ObjectName":"Inlet","id":0,"Hidden":false,"Custom":"Audio In","Exposed":"audio in"},"Outlet":{"uuid":"a1d97535-18ac-444a-8417-0cbc1692d897","ObjectName":"Outlet","id":0,"Hidden":false,"Custom":"Audio Out","Exposed":"audio out","Address":"audio:/out/main","GainInlet":{"uuid":"9a13fb32-269a-47bf-99a9-930188c1f19c","ObjectName":"Inlet","id":10000,"Hidden":false,"Custom":"Gain","Exposed":"gain","Value":{},"Init":{},"Domain":{"Float":{"Min":0.0,"Max":1.0}}},"PanInlet":{"uuid":"9a13fb32-269a-47bf-99a9-930188c1f19c","ObjectName":"Inlet","id":10001,"Hidden":false,"Custom":"Pan","Exposed":"pan","Value":{},"Init":{},"Domain":{}},"Gain":1.0,"Pan":[1.0,1.0],"Propagate":true},"Processes":[{"uuid":"bf603921-5a48-4aa5-9bc1-48a762be6467","ObjectName":"ValueFilter","id":31,"Metadata":{"ScriptingName":"Smooth","Comment":"","Color":"Transparent1","Label":"","Touched":true},"Duration":10584000000,"Height":300.0,"StartOffset":0,"LoopDuration":10584000000,"Pos":[-1702.4786334086357,-29.719896973210787],"Size":[280.0,169.0],"Loops":false,"FoldMode":0,"Inlets":[{"uuid":"769dd38a-bfb3-4dc6-b52a-b6abb7afe2a3","ObjectName":"Inlet","id":0,"Hidden":false,"Custom":"in","Exposed":"in"},{"uuid":"8b1d76c4-3838-4ac0-9b9c-c12bc5db8e8a","ObjectName":"Inlet","id":1,"Hidden":true,"Custom":"Type","Exposed":"type","Value":{"String":"OneEuro"},"Init":{"String":"OneEuro"},"Domain":{"String":{"Values":["OneEuro","LowPass","Average","Median"]}},"Values":["OneEuro","LowPass","Average","Median"],"Pixmaps":[]},{"uuid":"82427d27-084a-4ab6-9c4e-db83929a1200","ObjectName":"Inlet","id":2,"Hidden":true,"Custom":"Amount","Exposed":"amount","Value":{"Float":0.4763889014720917},"Init":{"Float":0.10000000149011612},"Domain":{"Float":{"Min":0.0,"Max":1.0}}},{"uuid":"5554eb67-bcc8-45ab-8ec2-37a3f191aa64","ObjectName":"Inlet","id":3,"Hidden":true,"Custom":"Freq (1e/LP)","Exposed":"freq (1e_lp)","Value":{"Float":120.0},"Init":{"Float":120.0},"Domain":{"Float":{"Min":0.0010000000474974513,"Max":300.0}}},{"uuid":"5554eb67-bcc8-45ab-8ec2-37a3f191aa64","ObjectName":"Inlet","id":4,"Hidden":true,"Custom":"Cutoff (1e/LP)","Exposed":"cutoff (1e_lp)","Value":{"Float":1.0},"Init":{"Float":1.0},"Domain":{"Float":{"Min":0.0010000000474974513,"Max":10.0}}},{"uuid":"af2b4fc3-aecb-4c15-a5aa-1c573a239925","ObjectName":"Inlet","id":5,"Hidden":true,"Custom":"Beta (1e only)","Exposed":"beta (1e only)","Value":{"Float":1.0},"Init":{"Float":1.0},"Domain":{"Float":{"Min":0.0010000000474974513,"Max":10.0}}},{"uuid":"fb27e4cb-ea7f-41e2-ad92-2354498c1b6b","ObjectName":"Inlet","id":6,"Hidden":true,"Custom":"Continuous","Exposed":"continuous","Value":{"Bool":false},"Init":{"Bool":false},"Domain":{"Bool":null}}],"Outlets":[{"uuid":"cff96158-cc72-46d7-99dc-b6038171375b","ObjectName":"Outlet","id":0,"Hidden":false,"Custom":"out","Exposed":"out"}]},{"uuid":"1fe9c806-b601-4ee0-9fbb-0ab817c4dd87","ObjectName":"ArrayMapping","id":30,"Metadata":{"ScriptingName":"Arraymap","Comment":"","Color":"Transparent1","Label":"","Touched":true},"Duration":10584000000,"Height":300.0,"StartOffset":0,"LoopDuration":10584000000,"Pos":[-1401.0993757827564,-26.118682350602455],"Size":[180.0,35.0],"Loops":false,"FoldMode":0,"Inlets":[{"uuid":"769dd38a-bfb3-4dc6-b52a-b6abb7afe2a3","ObjectName":"Inlet","id":0,"Hidden":false,"Custom":"in","Exposed":"in"},{"uuid":"9ae797ea-d94c-4792-acec-9ec1932bae5d","ObjectName":"Inlet","id":1,"Hidden":true,"Custom":"Expression","Exposed":"expression","Value":{"String":"50(x-0.5)"},"Init":{"String":"x"},"Domain":{}}],"Outlets":[{"uuid":"cff96158-cc72-46d7-99dc-b6038171375b","ObjectName":"Outlet","id":0,"Hidden":false,"Custom":"out","Exposed":"out"}]},{"uuid":"74ca45ff-92c9-44a0-8f1a-754dea05ee1b","ObjectName":"gfxProcess","id":29,"Metadata":{"ScriptingName":"Video Mixer","Comment":"","Color":"Transparent1","Label":"","Touched":true},"Duration":10584000000,"Height":300.0,"StartOffset":0,"LoopDuration":10584000000,"Pos":[367.3816223011974,-358.2562282845985],"Size":[399.0,175.0],"Loops":false,"FoldMode":0,"Vertex":"","Fragment":"/*{\n    \"CATEGORIES\": [\n        \"General\"\n    ],\n    \"CREDIT\": \"Jamie Owen, Jean-Michaël Celerier\",\n    \"DESCRIPTION\": \"8-channel video mixer\",\n    \"INPUTS\": [\n        { \"NAME\": \"t1\", \"LABEL\" : \"Texture 1\", \"TYPE\": \"image\" },\n        { \"NAME\": \"t2\", \"LABEL\" : \"Texture 2\", \"TYPE\": \"image\" },\n        { \"NAME\": \"t3\", \"LABEL\" : \"Texture 3\", \"TYPE\": \"image\" },\n        { \"NAME\": \"t4\", \"LABEL\" : \"Texture 4\", \"TYPE\": \"image\" },\n        { \"NAME\": \"t5\", \"LABEL\" : \"Texture 5\", \"TYPE\": \"image\" },\n        { \"NAME\": \"t6\", \"LABEL\" : \"Texture 6\", \"TYPE\": \"image\" },\n        { \"NAME\": \"t7\", \"LABEL\" : \"Texture 7\", \"TYPE\": \"image\" },\n        { \"NAME\": \"t8\", \"LABEL\" : \"Texture 8\", \"TYPE\": \"image\" },\n        { \"NAME\": \"alpha1\", \"LABEL\" : \"Alpha 1\", \"DEFAULT\": 1, \"MAX\": 1, \"MIN\": 0, \"TYPE\": \"float\" },\n        { \"NAME\": \"alpha2\", \"LABEL\" : \"Alpha 2\", \"DEFAULT\": 0, \"MAX\": 1, \"MIN\": 0, \"TYPE\": \"float\" },\n        { \"NAME\": \"alpha3\", \"LABEL\" : \"Alpha 3\", \"DEFAULT\": 0, \"MAX\": 1, \"MIN\": 0, \"TYPE\": \"float\" },\n        { \"NAME\": \"alpha4\", \"LABEL\" : \"Alpha 4\", \"DEFAULT\": 0, \"MAX\": 1, \"MIN\": 0, \"TYPE\": \"float\" },\n        { \"NAME\": \"alpha5\", \"LABEL\" : \"Alpha 5\", \"DEFAULT\": 0, \"MAX\": 1, \"MIN\": 0, \"TYPE\": \"float\" },\n        { \"NAME\": \"alpha6\", \"LABEL\" : \"Alpha 6\", \"DEFAULT\": 0, \"MAX\": 1, \"MIN\": 0, \"TYPE\": \"float\" },\n        { \"NAME\": \"alpha7\", \"LABEL\" : \"Alpha 7\", \"DEFAULT\": 0, \"MAX\": 1, \"MIN\": 0, \"TYPE\": \"float\" },\n        { \"NAME\": \"alpha8\", \"LABEL\" : \"Alpha 8\", \"DEFAULT\": 0, \"MAX\": 1, \"MIN\": 0, \"TYPE\": \"float\" },\n        { \"VALUES\" : [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25 ],\n           \"LABELS\" : [ \"Add\", \"Average\", \"Color Burn\", \"Color Dodge\", \"Darken\", \"Difference\", \n                        \"Exclusion\", \"Glow\", \"Hard Light\", \"Hard Mix\", \"Lighten\", \"Linear Burn\", \n                        \"Linear Dodge\", \"Linear Light\", \"Multiply\", \"Negation\", \"Normal\", \"Overlay\", \n                        \"Phoenix\", \"Pin Light\", \"Reflect\", \"Screen\", \"Soft Light\", \"Subtract\", \"Vivid Light\"],\n           \"IDENTITY\" : 1,\n           \"DEFAULT\" : 17,\n           \"LABEL\" : \"Mode 1\",\n           \"TYPE\" : \"long\",\n           \"NAME\" : \"mode1\"\n        },\n        { \"VALUES\" : [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25 ],\n           \"LABELS\" : [ \"Add\", \"Average\", \"Color Burn\", \"Color Dodge\", \"Darken\", \"Difference\", \n                        \"Exclusion\", \"Glow\", \"Hard Light\", \"Hard Mix\", \"Lighten\", \"Linear Burn\", \n                        \"Linear Dodge\", \"Linear Light\", \"Multiply\", \"Negation\", \"Normal\", \"Overlay\", \n                        \"Phoenix\", \"Pin Light\", \"Reflect\", \"Screen\", \"Soft Light\", \"Subtract\", \"Vivid Light\"],\n           \"IDENTITY\" : 1,\n           \"DEFAULT\" : 17,\n           \"LABEL\" : \"Mode 2\",\n           \"TYPE\" : \"long\",\n           \"NAME\" : \"mode2\"\n        },\n        { \"VALUES\" : [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25 ],\n           \"LABELS\" : [ \"Add\", \"Average\", \"Color Burn\", \"Color Dodge\", \"Darken\", \"Difference\", \n                        \"Exclusion\", \"Glow\", \"Hard Light\", \"Hard Mix\", \"Lighten\", \"Linear Burn\", \n                        \"Linear Dodge\", \"Linear Light\", \"Multiply\", \"Negation\", \"Normal\", \"Overlay\", \n                        \"Phoenix\", \"Pin Light\", \"Reflect\", \"Screen\", \"Soft Light\", \"Subtract\", \"Vivid Light\"],\n           \"IDENTITY\" : 1,\n           \"DEFAULT\" : 17,\n           \"LABEL\" : \"Mode 3\",\n           \"TYPE\" : \"long\",\n           \"NAME\" : \"mode3\"\n        },\n        { \"VALUES\" : [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25 ],\n           \"LABELS\" : [ \"Add\", \"Average\", \"Color Burn\", \"Color Dodge\", \"Darken\", \"Difference\", \n                        \"Exclusion\", \"Glow\", \"Hard Light\", \"Hard Mix\", \"Lighten\", \"Linear Burn\", \n                        \"Linear Dodge\", \"Linear Light\", \"Multiply\", \"Negation\", \"Normal\", \"Overlay\", \n                        \"Phoenix\", \"Pin Light\", \"Reflect\", \"Screen\", \"Soft Light\", \"Subtract\", \"Vivid Light\"],\n           \"IDENTITY\" : 1,\n           \"DEFAULT\" : 17,\n           \"LABEL\" : \"Mode 4\",\n           \"TYPE\" : \"long\",\n           \"NAME\" : \"mode4\"\n        },\n        { \"VALUES\" : [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25 ],\n           \"LABELS\" : [ \"Add\", \"Average\", \"Color Burn\", \"Color Dodge\", \"Darken\", \"Difference\", \n                        \"Exclusion\", \"Glow\", \"Hard Light\", \"Hard Mix\", \"Lighten\", \"Linear Burn\", \n                        \"Linear Dodge\", \"Linear Light\", \"Multiply\", \"Negation\", \"Normal\", \"Overlay\", \n                        \"Phoenix\", \"Pin Light\", \"Reflect\", \"Screen\", \"Soft Light\", \"Subtract\", \"Vivid Light\"],\n           \"IDENTITY\" : 1,\n           \"DEFAULT\" : 17,\n           \"LABEL\" : \"Mode 5\",\n           \"TYPE\" : \"long\",\n           \"NAME\" : \"mode5\"\n        },\n        { \"VALUES\" : [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25 ],\n           \"LABELS\" : [ \"Add\", \"Average\", \"Color Burn\", \"Color Dodge\", \"Darken\", \"Difference\", \n                        \"Exclusion\", \"Glow\", \"Hard Light\", \"Hard Mix\", \"Lighten\", \"Linear Burn\", \n                        \"Linear Dodge\", \"Linear Light\", \"Multiply\", \"Negation\", \"Normal\", \"Overlay\", \n                        \"Phoenix\", \"Pin Light\", \"Reflect\", \"Screen\", \"Soft Light\", \"Subtract\", \"Vivid Light\"],\n           \"IDENTITY\" : 1,\n           \"DEFAULT\" : 17,\n           \"LABEL\" : \"Mode 6\",\n           \"TYPE\" : \"long\",\n           \"NAME\" : \"mode6\"\n        },\n        { \"VALUES\" : [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25 ],\n           \"LABELS\" : [ \"Add\", \"Average\", \"Color Burn\", \"Color Dodge\", \"Darken\", \"Difference\", \n                        \"Exclusion\", \"Glow\", \"Hard Light\", \"Hard Mix\", \"Lighten\", \"Linear Burn\", \n                        \"Linear Dodge\", \"Linear Light\", \"Multiply\", \"Negation\", \"Normal\", \"Overlay\", \n                        \"Phoenix\", \"Pin Light\", \"Reflect\", \"Screen\", \"Soft Light\", \"Subtract\", \"Vivid Light\"],\n           \"IDENTITY\" : 1,\n           \"DEFAULT\" : 17,\n           \"LABEL\" : \"Mode 7\",\n           \"TYPE\" : \"long\",\n           \"NAME\" : \"mode7\"\n        }\n    ],\n    \"ISFVSN\": \"2\"\n}\n*/\n\n/* Blend mode implementations courtesy of Jamie Owen:\n\n   https://github.com/jamieowen/glsl-blend\n\nThe MIT License (MIT) Copyright (c) 2015 Jamie Owen\n\nPermission is hereby granted, free of charge, to any person obtaining a copy of\nthis software and associated documentation files (the \"Software\"), to deal in\nthe Software without restriction, including without limitation the rights to\nuse, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of\nthe Software, and to permit persons to whom the Software is furnished to do so,\nsubject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS\nFOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR\nCOPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER\nIN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN\nCONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n*/\nvec3 blendPhoenix(vec3 base, vec3 blend) {\n  return min(base, blend) - max(base, blend) + vec3(1.0);\n}\n\nvec3 blendPhoenix(vec3 base, vec3 blend, float opacity) {\n  return (blendPhoenix(base, blend) * opacity + base * (1.0 - opacity));\n}\n\nfloat blendOverlay(float base, float blend) {\n  return base < 0.5 ? (2.0 * base * blend)\n                    : (1.0 - 2.0 * (1.0 - base) * (1.0 - blend));\n}\n\nvec3 blendOverlay(vec3 base, vec3 blend) {\n  return vec3(blendOverlay(base.r, blend.r), blendOverlay(base.g, blend.g),\n              blendOverlay(base.b, blend.b));\n}\n\nvec3 blendOverlay(vec3 base, vec3 blend, float opacity) {\n  return (blendOverlay(base, blend) * opacity + base * (1.0 - opacity));\n}\n\nvec3 blendNormal(vec3 base, vec3 blend) { return blend; }\n\nvec3 blendNormal(vec3 base, vec3 blend, float opacity) {\n  return (blendNormal(base, blend) * opacity + base * (1.0 - opacity));\n}\n\nvec3 blendNegation(vec3 base, vec3 blend) {\n  return vec3(1.0) - abs(vec3(1.0) - base - blend);\n}\n\nvec3 blendNegation(vec3 base, vec3 blend, float opacity) {\n  return (blendNegation(base, blend) * opacity + base * (1.0 - opacity));\n}\n\nvec3 blendMultiply(vec3 base, vec3 blend) { return base * blend; }\n\nvec3 blendMultiply(vec3 base, vec3 blend, float opacity) {\n  return (blendMultiply(base, blend) * opacity + base * (1.0 - opacity));\n}\n\nfloat blendReflect(float base, float blend) {\n  return (blend == 1.0) ? blend : min(base * base / (1.0 - blend), 1.0);\n}\n\nvec3 blendReflect(vec3 base, vec3 blend) {\n  return vec3(blendReflect(base.r, blend.r), blendReflect(base.g, blend.g),\n              blendReflect(base.b, blend.b));\n}\n\nvec3 blendReflect(vec3 base, vec3 blend, float opacity) {\n  return (blendReflect(base, blend) * opacity + base * (1.0 - opacity));\n}\n\nvec3 blendAverage(vec3 base, vec3 blend) { return (base + blend) / 2.0; }\n\nvec3 blendAverage(vec3 base, vec3 blend, float opacity) {\n  return (blendAverage(base, blend) * opacity + base * (1.0 - opacity));\n}\n\nfloat blendLinearBurn(float base, float blend) {\n  // Note : Same implementation as BlendSubtractf\n  return max(base + blend - 1.0, 0.0);\n}\n\nvec3 blendLinearBurn(vec3 base, vec3 blend) {\n  // Note : Same implementation as BlendSubtract\n  return max(base + blend - vec3(1.0), vec3(0.0));\n}\n\nvec3 blendLinearBurn(vec3 base, vec3 blend, float opacity) {\n  return (blendLinearBurn(base, blend) * opacity + base * (1.0 - opacity));\n}\n\nfloat blendLighten(float base, float blend) { return max(blend, base); }\n\nvec3 blendLighten(vec3 base, vec3 blend) {\n  return vec3(blendLighten(base.r, blend.r), blendLighten(base.g, blend.g),\n              blendLighten(base.b, blend.b));\n}\n\nvec3 blendLighten(vec3 base, vec3 blend, float opacity) {\n  return (blendLighten(base, blend) * opacity + base * (1.0 - opacity));\n}\n\nfloat blendScreen(float base, float blend) {\n  return 1.0 - ((1.0 - base) * (1.0 - blend));\n}\n\nvec3 blendScreen(vec3 base, vec3 blend) {\n  return vec3(blendScreen(base.r, blend.r), blendScreen(base.g, blend.g),\n              blendScreen(base.b, blend.b));\n}\n\nvec3 blendScreen(vec3 base, vec3 blend, float opacity) {\n  return (blendScreen(base, blend) * opacity + base * (1.0 - opacity));\n}\n\nfloat blendSoftLight(float base, float blend) {\n  return (blend < 0.5)\n             ? (2.0 * base * blend + base * base * (1.0 - 2.0 * blend))\n             : (sqrt(base) * (2.0 * blend - 1.0) + 2.0 * base * (1.0 - blend));\n}\n\nvec3 blendSoftLight(vec3 base, vec3 blend) {\n  return vec3(blendSoftLight(base.r, blend.r), blendSoftLight(base.g, blend.g),\n              blendSoftLight(base.b, blend.b));\n}\n\nvec3 blendSoftLight(vec3 base, vec3 blend, float opacity) {\n  return (blendSoftLight(base, blend) * opacity + base * (1.0 - opacity));\n}\n\nfloat blendSubtract(float base, float blend) {\n  return max(base + blend - 1.0, 0.0);\n}\n\nvec3 blendSubtract(vec3 base, vec3 blend) {\n  return max(base + blend - vec3(1.0), vec3(0.0));\n}\n\nvec3 blendSubtract(vec3 base, vec3 blend, float opacity) {\n  return (blendSubtract(base, blend) * opacity + base * (1.0 - opacity));\n}\n\nvec3 blendExclusion(vec3 base, vec3 blend) {\n  return base + blend - 2.0 * base * blend;\n}\n\nvec3 blendExclusion(vec3 base, vec3 blend, float opacity) {\n  return (blendExclusion(base, blend) * opacity + base * (1.0 - opacity));\n}\n\nvec3 blendDifference(vec3 base, vec3 blend) { return abs(base - blend); }\n\nvec3 blendDifference(vec3 base, vec3 blend, float opacity) {\n  return (blendDifference(base, blend) * opacity + base * (1.0 - opacity));\n}\n\nfloat blendDarken(float base, float blend) { return min(blend, base); }\n\nvec3 blendDarken(vec3 base, vec3 blend) {\n  return vec3(blendDarken(base.r, blend.r), blendDarken(base.g, blend.g),\n              blendDarken(base.b, blend.b));\n}\n\nvec3 blendDarken(vec3 base, vec3 blend, float opacity) {\n  return (blendDarken(base, blend) * opacity + base * (1.0 - opacity));\n}\n\nfloat blendColorDodge(float base, float blend) {\n  return (blend == 1.0) ? blend : min(base / (1.0 - blend), 1.0);\n}\n\nvec3 blendColorDodge(vec3 base, vec3 blend) {\n  return vec3(blendColorDodge(base.r, blend.r),\n              blendColorDodge(base.g, blend.g),\n              blendColorDodge(base.b, blend.b));\n}\n\nvec3 blendColorDodge(vec3 base, vec3 blend, float opacity) {\n  return (blendColorDodge(base, blend) * opacity + base * (1.0 - opacity));\n}\n\nfloat blendColorBurn(float base, float blend) {\n  return (blend == 0.0) ? blend : max((1.0 - ((1.0 - base) / blend)), 0.0);\n}\n\nvec3 blendColorBurn(vec3 base, vec3 blend) {\n  return vec3(blendColorBurn(base.r, blend.r), blendColorBurn(base.g, blend.g),\n              blendColorBurn(base.b, blend.b));\n}\n\nvec3 blendColorBurn(vec3 base, vec3 blend, float opacity) {\n  return (blendColorBurn(base, blend) * opacity + base * (1.0 - opacity));\n}\n\nfloat blendAdd(float base, float blend) { return min(base + blend, 1.0); }\n\nvec3 blendAdd(vec3 base, vec3 blend) { return min(base + blend, vec3(1.0)); }\n\nvec3 blendAdd(vec3 base, vec3 blend, float opacity) {\n  return (blendAdd(base, blend) * opacity + base * (1.0 - opacity));\n}\n\nfloat blendLinearDodge(float base, float blend) {\n  // Note : Same implementation as BlendAddf\n  return min(base + blend, 1.0);\n}\n\nvec3 blendLinearDodge(vec3 base, vec3 blend) {\n  // Note : Same implementation as BlendAdd\n  return min(base + blend, vec3(1.0));\n}\n\nvec3 blendLinearDodge(vec3 base, vec3 blend, float opacity) {\n  return (blendLinearDodge(base, blend) * opacity + base * (1.0 - opacity));\n}\n\nvec3 blendHardLight(vec3 base, vec3 blend) { return blendOverlay(blend, base); }\n\nvec3 blendHardLight(vec3 base, vec3 blend, float opacity) {\n  return (blendHardLight(base, blend) * opacity + base * (1.0 - opacity));\n}\n\nvec3 blendGlow(vec3 base, vec3 blend) { return blendReflect(blend, base); }\n\nvec3 blendGlow(vec3 base, vec3 blend, float opacity) {\n  return (blendGlow(base, blend) * opacity + base * (1.0 - opacity));\n}\n\nfloat blendVividLight(float base, float blend) {\n  return (blend < 0.5) ? blendColorBurn(base, (2.0 * blend))\n                       : blendColorDodge(base, (2.0 * (blend - 0.5)));\n}\n\nvec3 blendVividLight(vec3 base, vec3 blend) {\n  return vec3(blendVividLight(base.r, blend.r),\n              blendVividLight(base.g, blend.g),\n              blendVividLight(base.b, blend.b));\n}\n\nvec3 blendVividLight(vec3 base, vec3 blend, float opacity) {\n  return (blendVividLight(base, blend) * opacity + base * (1.0 - opacity));\n}\n\nfloat blendHardMix(float base, float blend) {\n  return (blendVividLight(base, blend) < 0.5) ? 0.0 : 1.0;\n}\n\nvec3 blendHardMix(vec3 base, vec3 blend) {\n  return vec3(blendHardMix(base.r, blend.r), blendHardMix(base.g, blend.g),\n              blendHardMix(base.b, blend.b));\n}\n\nvec3 blendHardMix(vec3 base, vec3 blend, float opacity) {\n  return (blendHardMix(base, blend) * opacity + base * (1.0 - opacity));\n}\n\nfloat blendLinearLight(float base, float blend) {\n  return blend < 0.5 ? blendLinearBurn(base, (2.0 * blend))\n                     : blendLinearDodge(base, (2.0 * (blend - 0.5)));\n}\n\nvec3 blendLinearLight(vec3 base, vec3 blend) {\n  return vec3(blendLinearLight(base.r, blend.r),\n              blendLinearLight(base.g, blend.g),\n              blendLinearLight(base.b, blend.b));\n}\n\nvec3 blendLinearLight(vec3 base, vec3 blend, float opacity) {\n  return (blendLinearLight(base, blend) * opacity + base * (1.0 - opacity));\n}\n\nfloat blendPinLight(float base, float blend) {\n  return (blend < 0.5) ? blendDarken(base, (2.0 * blend))\n                       : blendLighten(base, (2.0 * (blend - 0.5)));\n}\n\nvec3 blendPinLight(vec3 base, vec3 blend) {\n  return vec3(blendPinLight(base.r, blend.r), blendPinLight(base.g, blend.g),\n              blendPinLight(base.b, blend.b));\n}\n\nvec3 blendPinLight(vec3 base, vec3 blend, float opacity) {\n  return (blendPinLight(base, blend) * opacity + base * (1.0 - opacity));\n}\n\nvec3 blendMode(int mode, vec3 base, vec3 blend) {\n  if (mode == 1) {\n    return blendAdd(base, blend);\n  } else if (mode == 2) {\n    return blendAverage(base, blend);\n  } else if (mode == 3) {\n    return blendColorBurn(base, blend);\n  } else if (mode == 4) {\n    return blendColorDodge(base, blend);\n  } else if (mode == 5) {\n    return blendDarken(base, blend);\n  } else if (mode == 6) {\n    return blendDifference(base, blend);\n  } else if (mode == 7) {\n    return blendExclusion(base, blend);\n  } else if (mode == 8) {\n    return blendGlow(base, blend);\n  } else if (mode == 9) {\n    return blendHardLight(base, blend);\n  } else if (mode == 10) {\n    return blendHardMix(base, blend);\n  } else if (mode == 11) {\n    return blendLighten(base, blend);\n  } else if (mode == 12) {\n    return blendLinearBurn(base, blend);\n  } else if (mode == 13) {\n    return blendLinearDodge(base, blend);\n  } else if (mode == 14) {\n    return blendLinearLight(base, blend);\n  } else if (mode == 15) {\n    return blendMultiply(base, blend);\n  } else if (mode == 16) {\n    return blendNegation(base, blend);\n  } else if (mode == 17) {\n    return blendNormal(base, blend);\n  } else if (mode == 18) {\n    return blendOverlay(base, blend);\n  } else if (mode == 19) {\n    return blendPhoenix(base, blend);\n  } else if (mode == 20) {\n    return blendPinLight(base, blend);\n  } else if (mode == 21) {\n    return blendReflect(base, blend);\n  } else if (mode == 22) {\n    return blendScreen(base, blend);\n  } else if (mode == 23) {\n    return blendSoftLight(base, blend);\n  } else if (mode == 24) {\n    return blendSubtract(base, blend);\n  } else if (mode == 25) {\n    return blendVividLight(base, blend);\n  } else {\n    return vec3(0.,0.,0.);\n  }\n}\n\nvec3 blendMode(int mode, vec3 base, vec3 blend, float opacity) {\n  if (mode == 1) {\n    return blendAdd(base, blend, opacity);\n  } else if (mode == 2) {\n    return blendAverage(base, blend, opacity);\n  } else if (mode == 3) {\n    return blendColorBurn(base, blend, opacity);\n  } else if (mode == 4) {\n    return blendColorDodge(base, blend, opacity);\n  } else if (mode == 5) {\n    return blendDarken(base, blend, opacity);\n  } else if (mode == 6) {\n    return blendDifference(base, blend, opacity);\n  } else if (mode == 7) {\n    return blendExclusion(base, blend, opacity);\n  } else if (mode == 8) {\n    return blendGlow(base, blend, opacity);\n  } else if (mode == 9) {\n    return blendHardLight(base, blend, opacity);\n  } else if (mode == 10) {\n    return blendHardMix(base, blend, opacity);\n  } else if (mode == 11) {\n    return blendLighten(base, blend, opacity);\n  } else if (mode == 12) {\n    return blendLinearBurn(base, blend, opacity);\n  } else if (mode == 13) {\n    return blendLinearDodge(base, blend, opacity);\n  } else if (mode == 14) {\n    return blendLinearLight(base, blend, opacity);\n  } else if (mode == 15) {\n    return blendMultiply(base, blend, opacity);\n  } else if (mode == 16) {\n    return blendNegation(base, blend, opacity);\n  } else if (mode == 17) {\n    return blendNormal(base, blend, opacity);\n  } else if (mode == 18) {\n    return blendOverlay(base, blend, opacity);\n  } else if (mode == 19) {\n    return blendPhoenix(base, blend, opacity);\n  } else if (mode == 20) {\n    return blendPinLight(base, blend, opacity);\n  } else if (mode == 21) {\n    return blendReflect(base, blend, opacity);\n  } else if (mode == 22) {\n    return blendScreen(base, blend, opacity);\n  } else if (mode == 23) {\n    return blendSoftLight(base, blend, opacity);\n  } else if (mode == 24) {\n    return blendSubtract(base, blend, opacity);\n  } else if (mode == 25) {\n    return blendVividLight(base, blend, opacity);\n  } else {\n    return vec3(0.,0.,0.);\n  }\n}\n\nvoid main() {\n  vec4 s1 = IMG_THIS_PIXEL(t1);\n  vec4 s2 = IMG_THIS_PIXEL(t2);\n  vec4 s3 = IMG_THIS_PIXEL(t3);\n  vec4 s4 = IMG_THIS_PIXEL(t4);\n  vec4 s5 = IMG_THIS_PIXEL(t5);\n  vec4 s6 = IMG_THIS_PIXEL(t6);\n  vec4 s7 = IMG_THIS_PIXEL(t7);\n  vec4 s8 = IMG_THIS_PIXEL(t8);\n\n  // Bottom-to-top compositing: t1 is the base, each layer blends on top\n  float a = s1.a * alpha1;\n  vec3 rgb = s1.rgb * a;\n  float ea;\n\n  ea = s2.a * alpha2;\n  rgb = blendMode(mode1, rgb, s2.rgb, ea);\n  a = a + ea * (1.0 - a);\n\n  ea = s3.a * alpha3;\n  rgb = blendMode(mode2, rgb, s3.rgb, ea);\n  a = a + ea * (1.0 - a);\n\n  ea = s4.a * alpha4;\n  rgb = blendMode(mode3, rgb, s4.rgb, ea);\n  a = a + ea * (1.0 - a);\n\n  ea = s5.a * alpha5;\n  rgb = blendMode(mode4, rgb, s5.rgb, ea);\n  a = a + ea * (1.0 - a);\n\n  ea = s6.a * alpha6;\n  rgb = blendMode(mode5, rgb, s6.rgb, ea);\n  a = a + ea * (1.0 - a);\n\n  ea = s7.a * alpha7;\n  rgb = blendMode(mode6, rgb, s7.rgb, ea);\n  a = a + ea * (1.0 - a);\n\n  ea = s8.a * alpha8;\n  rgb = blendMode(mode7, rgb, s8.rgb, ea);\n  a = a + ea * (1.0 - a);\n\n  gl_FragColor = vec4(rgb, a);\n}\n","Inlets":[{"uuid":"5ac86198-2d03-4830-9e41-a6d529922d29","ObjectName":"Inlet","id":0,"Hidden":false,"Custom":"t1","Exposed":"t1","Format":0,"FormatSet":false,"Filter":2,"AddressMode":1,"MipmapMode":0},{"uuid":"5ac86198-2d03-4830-9e41-a6d529922d29","ObjectName":"Inlet","id":1,"Hidden":false,"Custom":"t2","Exposed":"t2","Format":0,"FormatSet":false,"Filter":2,"AddressMode":1,"MipmapMode":0},{"uuid":"5ac86198-2d03-4830-9e41-a6d529922d29","ObjectName":"Inlet","id":2,"Hidden":false,"Custom":"t3","Exposed":"t3","Format":0,"FormatSet":false,"Filter":2,"AddressMode":1,"MipmapMode":0},{"uuid":"5ac86198-2d03-4830-9e41-a6d529922d29","ObjectName":"Inlet","id":3,"Hidden":false,"Custom":"t4","Exposed":"t4","Format":0,"FormatSet":false,"Filter":2,"AddressMode":1,"MipmapMode":0},{"uuid":"5ac86198-2d03-4830-9e41-a6d529922d29","ObjectName":"Inlet","id":4,"Hidden":false,"Custom":"t5","Exposed":"t5","Format":0,"FormatSet":false,"Filter":2,"AddressMode":1,"MipmapMode":0},{"uuid":"5ac86198-2d03-4830-9e41-a6d529922d29","ObjectName":"Inlet","id":5,"Hidden":false,"Custom":"t6","Exposed":"t6","Format":0,"FormatSet":false,"Filter":2,"AddressMode":1,"MipmapMode":0},{"uuid":"5ac86198-2d03-4830-9e41-a6d529922d29","ObjectName":"Inlet","id":6,"Hidden":false,"Custom":"t7","Exposed":"t7","Format":0,"FormatSet":false,"Filter":2,"AddressMode":1,"MipmapMode":0},{"uuid":"5ac86198-2d03-4830-9e41-a6d529922d29","ObjectName":"Inlet","id":7,"Hidden":false,"Custom":"t8","Exposed":"t8","Format":0,"FormatSet":false,"Filter":2,"AddressMode":1,"MipmapMode":0},{"uuid":"af2b4fc3-aecb-4c15-a5aa-1c573a239925","ObjectName":"Inlet","id":8,"Hidden":true,"Custom":"alpha1","Exposed":"alpha1","Value":{"Float":1.0},"Init":{"Float":1.0},"Domain":{"Float":{"Min":0.0,"Max":1.0}}},{"uuid":"af2b4fc3-aecb-4c15-a5aa-1c573a239925","ObjectName":"Inlet","id":9,"Hidden":true,"Custom":"alpha2","Exposed":"alpha2","Value":{"Float":0.8494409918785095},"Init":{"Float":0.0},"Domain":{"Float":{"Min":0.0,"Max":1.0}}},{"uuid":"af2b4fc3-aecb-4c15-a5aa-1c573a239925","ObjectName":"Inlet","id":10,"Hidden":true,"Custom":"alpha3","Exposed":"alpha3","Value":{"Float":0.0},"Init":{"Float":0.0},"Domain":{"Float":{"Min":0.0,"Max":1.0}}},{"uuid":"af2b4fc3-aecb-4c15-a5aa-1c573a239925","ObjectName":"Inlet","id":11,"Hidden":true,"Custom":"alpha4","Exposed":"alpha4","Value":{"Float":0.0},"Init":{"Float":0.0},"Domain":{"Float":{"Min":0.0,"Max":1.0}}},{"uuid":"af2b4fc3-aecb-4c15-a5aa-1c573a239925","ObjectName":"Inlet","id":12,"Hidden":true,"Custom":"alpha5","Exposed":"alpha5","Value":{"Float":0.0},"Init":{"Float":0.0},"Domain":{"Float":{"Min":0.0,"Max":1.0}}},{"uuid":"af2b4fc3-aecb-4c15-a5aa-1c573a239925","ObjectName":"Inlet","id":13,"Hidden":true,"Custom":"alpha6","Exposed":"alpha6","Value":{"Float":0.0},"Init":{"Float":0.0},"Domain":{"Float":{"Min":0.0,"Max":1.0}}},{"uuid":"af2b4fc3-aecb-4c15-a5aa-1c573a239925","ObjectName":"Inlet","id":14,"Hidden":true,"Custom":"alpha7","Exposed":"alpha7","Value":{"Float":0.0},"Init":{"Float":0.0},"Domain":{"Float":{"Min":0.0,"Max":1.0}}},{"uuid":"af2b4fc3-aecb-4c15-a5aa-1c573a239925","ObjectName":"Inlet","id":15,"Hidden":true,"Custom":"alpha8","Exposed":"alpha8","Value":{"Float":0.0},"Init":{"Float":0.0},"Domain":{"Float":{"Min":0.0,"Max":1.0}}},{"uuid":"485680cc-b8b9-4a01-acc7-3e8334bdc016","ObjectName":"Inlet","id":16,"Hidden":true,"Custom":"mode1","Exposed":"mode1","Value":{"Int":1},"Init":{"Int":17},"Domain":{"Int":{"Values":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25]}},"Values":[["Add",{"Int":1}],["Average",{"Int":2}],["Color Burn",{"Int":3}],["Color Dodge",{"Int":4}],["Darken",{"Int":5}],["Difference",{"Int":6}],["Exclusion",{"Int":7}],["Glow",{"Int":8}],["Hard Light",{"Int":9}],["Hard Mix",{"Int":10}],["Lighten",{"Int":11}],["Linear Burn",{"Int":12}],["Linear Dodge",{"Int":13}],["Linear Light",{"Int":14}],["Multiply",{"Int":15}],["Negation",{"Int":16}],["Normal",{"Int":17}],["Overlay",{"Int":18}],["Phoenix",{"Int":19}],["Pin Light",{"Int":20}],["Reflect",{"Int":21}],["Screen",{"Int":22}],["Soft Light",{"Int":23}],["Subtract",{"Int":24}],["Vivid Light",{"Int":25}]],"FolderPort":"","FileExtensions":""},{"uuid":"485680cc-b8b9-4a01-acc7-3e8334bdc016","ObjectName":"Inlet","id":17,"Hidden":true,"Custom":"mode2","Exposed":"mode2","Value":{"Int":17},"Init":{"Int":17},"Domain":{"Int":{"Values":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25]}},"Values":[["Add",{"Int":1}],["Average",{"Int":2}],["Color Burn",{"Int":3}],["Color Dodge",{"Int":4}],["Darken",{"Int":5}],["Difference",{"Int":6}],["Exclusion",{"Int":7}],["Glow",{"Int":8}],["Hard Light",{"Int":9}],["Hard Mix",{"Int":10}],["Lighten",{"Int":11}],["Linear Burn",{"Int":12}],["Linear Dodge",{"Int":13}],["Linear Light",{"Int":14}],["Multiply",{"Int":15}],["Negation",{"Int":16}],["Normal",{"Int":17}],["Overlay",{"Int":18}],["Phoenix",{"Int":19}],["Pin Light",{"Int":20}],["Reflect",{"Int":21}],["Screen",{"Int":22}],["Soft Light",{"Int":23}],["Subtract",{"Int":24}],["Vivid Light",{"Int":25}]],"FolderPort":"","FileExtensions":""},{"uuid":"485680cc-b8b9-4a01-acc7-3e8334bdc016","ObjectName":"Inlet","id":18,"Hidden":true,"Custom":"mode3","Exposed":"mode3","Value":{"Int":17},"Init":{"Int":17},"Domain":{"Int":{"Values":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25]}},"Values":[["Add",{"Int":1}],["Average",{"Int":2}],["Color Burn",{"Int":3}],["Color Dodge",{"Int":4}],["Darken",{"Int":5}],["Difference",{"Int":6}],["Exclusion",{"Int":7}],["Glow",{"Int":8}],["Hard Light",{"Int":9}],["Hard Mix",{"Int":10}],["Lighten",{"Int":11}],["Linear Burn",{"Int":12}],["Linear Dodge",{"Int":13}],["Linear Light",{"Int":14}],["Multiply",{"Int":15}],["Negation",{"Int":16}],["Normal",{"Int":17}],["Overlay",{"Int":18}],["Phoenix",{"Int":19}],["Pin Light",{"Int":20}],["Reflect",{"Int":21}],["Screen",{"Int":22}],["Soft Light",{"Int":23}],["Subtract",{"Int":24}],["Vivid Light",{"Int":25}]],"FolderPort":"","FileExtensions":""},{"uuid":"485680cc-b8b9-4a01-acc7-3e8334bdc016","ObjectName":"Inlet","id":19,"Hidden":true,"Custom":"mode4","Exposed":"mode4","Value":{"Int":17},"Init":{"Int":17},"Domain":{"Int":{"Values":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25]}},"Values":[["Add",{"Int":1}],["Average",{"Int":2}],["Color Burn",{"Int":3}],["Color Dodge",{"Int":4}],["Darken",{"Int":5}],["Difference",{"Int":6}],["Exclusion",{"Int":7}],["Glow",{"Int":8}],["Hard Light",{"Int":9}],["Hard Mix",{"Int":10}],["Lighten",{"Int":11}],["Linear Burn",{"Int":12}],["Linear Dodge",{"Int":13}],["Linear Light",{"Int":14}],["Multiply",{"Int":15}],["Negation",{"Int":16}],["Normal",{"Int":17}],["Overlay",{"Int":18}],["Phoenix",{"Int":19}],["Pin Light",{"Int":20}],["Reflect",{"Int":21}],["Screen",{"Int":22}],["Soft Light",{"Int":23}],["Subtract",{"Int":24}],["Vivid Light",{"Int":25}]],"FolderPort":"","FileExtensions":""},{"uuid":"485680cc-b8b9-4a01-acc7-3e8334bdc016","ObjectName":"Inlet","id":20,"Hidden":true,"Custom":"mode5","Exposed":"mode5","Value":{"Int":17},"Init":{"Int":17},"Domain":{"Int":{"Values":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25]}},"Values":[["Add",{"Int":1}],["Average",{"Int":2}],["Color Burn",{"Int":3}],["Color Dodge",{"Int":4}],["Darken",{"Int":5}],["Difference",{"Int":6}],["Exclusion",{"Int":7}],["Glow",{"Int":8}],["Hard Light",{"Int":9}],["Hard Mix",{"Int":10}],["Lighten",{"Int":11}],["Linear Burn",{"Int":12}],["Linear Dodge",{"Int":13}],["Linear Light",{"Int":14}],["Multiply",{"Int":15}],["Negation",{"Int":16}],["Normal",{"Int":17}],["Overlay",{"Int":18}],["Phoenix",{"Int":19}],["Pin Light",{"Int":20}],["Reflect",{"Int":21}],["Screen",{"Int":22}],["Soft Light",{"Int":23}],["Subtract",{"Int":24}],["Vivid Light",{"Int":25}]],"FolderPort":"","FileExtensions":""},{"uuid":"485680cc-b8b9-4a01-acc7-3e8334bdc016","ObjectName":"Inlet","id":21,"Hidden":true,"Custom":"mode6","Exposed":"mode6","Value":{"Int":17},"Init":{"Int":17},"Domain":{"Int":{"Values":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25]}},"Values":[["Add",{"Int":1}],["Average",{"Int":2}],["Color Burn",{"Int":3}],["Color Dodge",{"Int":4}],["Darken",{"Int":5}],["Difference",{"Int":6}],["Exclusion",{"Int":7}],["Glow",{"Int":8}],["Hard Light",{"Int":9}],["Hard Mix",{"Int":10}],["Lighten",{"Int":11}],["Linear Burn",{"Int":12}],["Linear Dodge",{"Int":13}],["Linear Light",{"Int":14}],["Multiply",{"Int":15}],["Negation",{"Int":16}],["Normal",{"Int":17}],["Overlay",{"Int":18}],["Phoenix",{"Int":19}],["Pin Light",{"Int":20}],["Reflect",{"Int":21}],["Screen",{"Int":22}],["Soft Light",{"Int":23}],["Subtract",{"Int":24}],["Vivid Light",{"Int":25}]],"FolderPort":"","FileExtensions":""},{"uuid":"485680cc-b8b9-4a01-acc7-3e8334bdc016","ObjectName":"Inlet","id":22,"Hidden":true,"Custom":"mode7","Exposed":"mode7","Value":{"Int":17},"Init":{"Int":17},"Domain":{"Int":{"Values":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25]}},"Values":[["Add",{"Int":1}],["Average",{"Int":2}],["Color Burn",{"Int":3}],["Color Dodge",{"Int":4}],["Darken",{"Int":5}],["Difference",{"Int":6}],["Exclusion",{"Int":7}],["Glow",{"Int":8}],["Hard Light",{"Int":9}],["Hard Mix",{"Int":10}],["Lighten",{"Int":11}],["Linear Burn",{"Int":12}],["Linear Dodge",{"Int":13}],["Linear Light",{"Int":14}],["Multiply",{"Int":15}],["Negation",{"Int":16}],["Normal",{"Int":17}],["Overlay",{"Int":18}],["Phoenix",{"Int":19}],["Pin Light",{"Int":20}],["Reflect",{"Int":21}],["Screen",{"Int":22}],["Soft Light",{"Int":23}],["Subtract",{"Int":24}],["Vivid Light",{"Int":25}]],"FolderPort":"","FileExtensions":""}],"Outlets":[{"uuid":"f1c71046-b754-49a5-8e66-d01374773dfc","ObjectName":"Outlet","id":1,"Hidden":false,"Custom":"Texture Out","Exposed":"texture out","Address":"Window:/"}]},{"uuid":"f8e7d6c5-b4a3-4291-8c0d-1e2f3a4b5c6d","ObjectName":"pose_detector","id":28,"Metadata":{"ScriptingName":"Pose Detector","Comment":"","Color":"Transparent1","Label":"","Touched":true},"Duration":10584000000,"Height":300.0,"StartOffset":0,"LoopDuration":10584000000,"Pos":[-2091.5024776294604,-337.21791134932766],"Size":[323.0,231.5],"Loops":false,"FoldMode":2,"Inlets":[{"uuid":"5ac86198-2d03-4830-9e41-a6d529922d29","ObjectName":"Inlet","id":0,"Hidden":false,"Custom":"In","Exposed":"in","Address":"Camera:/","Format":0,"FormatSet":false,"Filter":2,"AddressMode":1,"MipmapMode":0},{"uuid":"40833147-4c42-4b8b-bb80-0b1d15dae129","ObjectName":"Inlet","id":1,"Hidden":true,"Custom":"Landmark Model","Exposed":"landmark model","Value":{"String":"<LIBRARY>:packages/models-presets/models/pose-detector/detectors/det-face-retinaface-mobile-640x480.onnx"},"Init":{"String":""},"Domain":{},"Filters":"*.onnx"},{"uuid":"485680cc-b8b9-4a01-acc7-3e8334bdc016","ObjectName":"Inlet","id":2,"Hidden":true,"Custom":"Workflow","Exposed":"workflow","Description":"Pose estimation model type","Value":{"Int":0},"Init":{"Int":0},"Domain":{"Int":{"Values":[0,1,2,3,4,5,6,7,8,9,10,11,12,13]}},"Values":[["Auto",{"Int":0}],["BlazePose",{"Int":1}],["RTMPose_COCO",{"Int":2}],["RTMPose_Whole",{"Int":3}],["ViTPose",{"Int":4}],["YOLOPose",{"Int":5}],["AnimalPose",{"Int":6}],["MediaPipeHands",{"Int":7}],["FaceMesh",{"Int":8}],["BlazeFace",{"Int":9}],["MobileFaceNet",{"Int":10}],["RTMPoseFace",{"Int":11}],["BoxDetection",{"Int":12}],["InstantHMR",{"Int":13}]],"FolderPort":"","FileExtensions":""},{"uuid":"8b1d76c4-3838-4ac0-9b9c-c12bc5db8e8a","ObjectName":"Inlet","id":3,"Hidden":true,"Custom":"Preview Mode","Exposed":"preview mode","Description":"Background of the preview image: the input frame, or black (Skeleton Only, e.g. for an OpenPose ControlNet).","Value":{"String":"SkeletonOnImage"},"Init":{"String":"SkeletonOnImage"},"Domain":{"String":{"Values":["SkeletonOnImage","SkeletonOnly"]}},"Values":["SkeletonOnImage","SkeletonOnly"],"Pixmaps":[]},{"uuid":"af2b4fc3-aecb-4c15-a5aa-1c573a239925","ObjectName":"Inlet","id":4,"Hidden":true,"Custom":"Min Confidence","Exposed":"min confidence","Description":"Detection / keypoint acceptance threshold: instances and joints below this score are dropped. Also gates which instances get tracked.","Value":{"Float":0.5},"Init":{"Float":0.30000001192092896},"Domain":{"Float":{"Min":0.0,"Max":1.0}}},{"uuid":"fb27e4cb-ea7f-41e2-ad92-2354498c1b6b","ObjectName":"Inlet","id":5,"Hidden":true,"Custom":"Draw Skeleton","Exposed":"draw skeleton","Description":"Draw the skeleton bone lines connecting the keypoints.","Value":{"Bool":true},"Init":{"Bool":false},"Domain":{"Bool":null}},{"uuid":"8b1d76c4-3838-4ac0-9b9c-c12bc5db8e8a","ObjectName":"Inlet","id":6,"Hidden":true,"Custom":"Data Format","Exposed":"data format","Description":"Layout of the Geometry outlets, for GPU rendering: flat keypoint arrays, bone lines, the detection bounding box (XYWH / X1Y1X2Y2, normalized [0,1]), Flattened — the full per-instance record (ids + box + keypoints) — or, for 3D models, World XYZ (metres, hip-origin), Camera XYZ (metres, camera space: world + the model's camera translation) and Body Params (the body model's rig origin in camera space, then the parametric body parameters: a mesh evaluated from them lands at mesh + origin), and with a Body Model file the body mesh (triangle soup or unique vertices, metres in the Mesh Space axes). Geometry carries the primary detection, Poses Geometry one slot per tracked instance.","Value":{"String":"XYArray"},"Init":{"String":"Raw"},"Domain":{"String":{"Values":["Raw","XYArray","XYZArray","LineArray","WorldXYZArray","BoxXYWH","BoxX1Y1X2Y2","Flattened","CameraXYZArray","BodyParams","MeshTriangles","MeshVertices"]}},"Values":["Raw","XYArray","XYZArray","LineArray","WorldXYZArray","BoxXYWH","BoxX1Y1X2Y2","Flattened","CameraXYZArray","BodyParams","MeshTriangles","MeshVertices"],"Pixmaps":[]},{"uuid":"40833147-4c42-4b8b-bb80-0b1d15dae129","ObjectName":"Inlet","id":7,"Hidden":true,"Custom":"Detection Model","Exposed":"detection model","Value":{"String":""},"Init":{"String":""},"Domain":{},"Filters":"*.onnx"},{"uuid":"fb27e4cb-ea7f-41e2-ad92-2354498c1b6b","ObjectName":"Inlet","id":8,"Hidden":true,"Custom":"Track ROI","Exposed":"track roi","Description":"Two-stage only: derive the ROI from the previous frame's landmarks and skip the detector (faster + steadier, like MediaPipe). Experimental — feedback can drift on some models; off by default.","Value":{"Bool":false},"Init":{"Bool":false},"Domain":{"Bool":null}},{"uuid":"fb27e4cb-ea7f-41e2-ad92-2354498c1b6b","ObjectName":"Inlet","id":9,"Hidden":true,"Custom":"Smoothing","Exposed":"smoothing","Description":"Temporal One-Euro smoothing of keypoints","Value":{"Bool":true},"Init":{"Bool":false},"Domain":{"Bool":null}},{"uuid":"af2b4fc3-aecb-4c15-a5aa-1c573a239925","ObjectName":"Inlet","id":10,"Hidden":true,"Custom":"Smoothing Amount","Exposed":"smoothing amount","Description":"0 = responsive, 1 = very smooth","Value":{"Float":0.5},"Init":{"Float":0.5},"Domain":{"Float":{"Min":0.0,"Max":1.0}}},{"uuid":"fb27e4cb-ea7f-41e2-ad92-2354498c1b6b","ObjectName":"Inlet","id":11,"Hidden":true,"Custom":"Track IDs","Exposed":"track ids","Description":"Track every person/hand/face across frames and emit them all with a persistent ID + stable per-ID color (ByteTrack: Kalman + two-stage + OKS). Enables multi-instance output. Requires a Detection Model.","Value":{"Bool":false},"Init":{"Bool":false},"Domain":{"Bool":null}},{"uuid":"238399a0-7e81-47e3-896f-08e8856e2973","ObjectName":"Inlet","id":12,"Hidden":true,"Custom":"Max Instances","Exposed":"max instances","Description":"Max simultaneous tracked instances (top-K by score). Track IDs only.","Value":{"Int":5},"Init":{"Int":5},"Domain":{"Int":{"Min":1,"Max":16}}},{"uuid":"238399a0-7e81-47e3-896f-08e8856e2973","ObjectName":"Inlet","id":13,"Hidden":true,"Custom":"Detector Cadence","Exposed":"detector cadence","Description":"Track ROI: re-run the detector every N frames; reuse per-track ROIs in between (1 = detect every frame). Track IDs + Track ROI only.","Value":{"Int":4},"Init":{"Int":4},"Domain":{"Int":{"Min":1,"Max":30}}},{"uuid":"40833147-4c42-4b8b-bb80-0b1d15dae129","ObjectName":"Inlet","id":14,"Hidden":true,"Custom":"Re-ID Model","Exposed":"re-id model","Value":{"String":""},"Init":{"String":""},"Domain":{},"Filters":"*.onnx"},{"uuid":"fb27e4cb-ea7f-41e2-ad92-2354498c1b6b","ObjectName":"Inlet","id":15,"Hidden":true,"Custom":"Re-ID","Exposed":"re-id","Description":"Blend an appearance embedding (any ReID model in the Re-ID Model port) into tracking so IDs survive long occlusion / re-entry. Track IDs only.","Value":{"Bool":false},"Init":{"Bool":false},"Domain":{"Bool":null}},{"uuid":"af2b4fc3-aecb-4c15-a5aa-1c573a239925","ObjectName":"Inlet","id":16,"Hidden":true,"Custom":"Re-ID Weight","Exposed":"re-id weight","Description":"How strongly appearance influences association.","Value":{"Float":0.25},"Init":{"Float":0.25},"Domain":{"Float":{"Min":0.0,"Max":1.0}}},{"uuid":"8b1d76c4-3838-4ac0-9b9c-c12bc5db8e8a","ObjectName":"Inlet","id":17,"Hidden":true,"Custom":"Re-ID Preprocess","Exposed":"re-id preprocess","Description":"Input normalization for the Re-ID model (not inferable from the graph). Auto guesses from input size.","Value":{"String":"Auto"},"Init":{"String":"Auto"},"Domain":{"String":{"Values":["Auto","ImageNetRGB","RawBGR","RawRGB","ZeroOneRGB","ArcFaceRGB"]}},"Values":["Auto","ImageNetRGB","RawBGR","RawRGB","ZeroOneRGB","ArcFaceRGB"],"Pixmaps":[]},{"uuid":"fb27e4cb-ea7f-41e2-ad92-2354498c1b6b","ObjectName":"Inlet","id":18,"Hidden":true,"Custom":"Draw Boxes","Exposed":"draw boxes","Description":"Draw each instance's bounding box (always on in Box Detection).","Value":{"Bool":true},"Init":{"Bool":false},"Domain":{"Bool":null}},{"uuid":"238399a0-7e81-47e3-896f-08e8856e2973","ObjectName":"Inlet","id":19,"Hidden":true,"Custom":"Detection Class","Exposed":"detection class","Description":"Keep only this class id of a multi-class detector; ignored by single-class detectors. Box Detection: -1 = all classes. Two-stage: the class to crop for the landmark model; -1 = by its domain (body 0, then hand 2 / face 3 on body-head-hand(-face) detectors).","Value":{"Int":-1},"Init":{"Int":-1},"Domain":{"Int":{"Min":-1,"Max":90}}},{"uuid":"fb27e4cb-ea7f-41e2-ad92-2354498c1b6b","ObjectName":"Inlet","id":20,"Hidden":true,"Custom":"Draw Landmarks","Exposed":"draw landmarks","Description":"Draw the keypoint dots (independent of the skeleton lines).","Value":{"Bool":true},"Init":{"Bool":false},"Domain":{"Bool":null}},{"uuid":"485680cc-b8b9-4a01-acc7-3e8334bdc016","ObjectName":"Inlet","id":21,"Hidden":true,"Custom":"Motion Gate","Exposed":"motion gate","Description":"Reject an id->detection match that is an implausible jump: None, MaxSpeed (an id can't cross the frame in one step), or Mahalanobis (Kalman gating distance, gap-aware). An appearance/ReID match can still re-acquire across the gate.","Value":{"Int":0},"Init":{"Int":0},"Domain":{"Int":{"Values":[0,1,2]}},"Values":[["None",{"Int":0}],["MaxSpeed",{"Int":1}],["Mahalanobis",{"Int":2}]],"FolderPort":"","FileExtensions":""},{"uuid":"af2b4fc3-aecb-4c15-a5aa-1c573a239925","ObjectName":"Inlet","id":22,"Hidden":true,"Custom":"Max Speed","Exposed":"max speed","Description":"MaxSpeed gate budget: max per-frame center move, in units of the track's box size (scaled by how long it was lost). Lower = stricter.","Value":{"Float":2.0},"Init":{"Float":2.0},"Domain":{"Float":{"Min":0.25,"Max":6.0}}},{"uuid":"fb27e4cb-ea7f-41e2-ad92-2354498c1b6b","ObjectName":"Inlet","id":23,"Hidden":true,"Custom":"Birth Gate","Exposed":"birth gate","Description":"Suppress spurious new ids whose box sits mostly inside an existing tracked person (e.g. a raised arm read as a second person).","Value":{"Bool":true},"Init":{"Bool":false},"Domain":{"Bool":null}},{"uuid":"fb27e4cb-ea7f-41e2-ad92-2354498c1b6b","ObjectName":"Inlet","id":24,"Hidden":true,"Custom":"Strict Confirmation","Exposed":"strict confirmation","Description":"Delete a tentative id the first frame it fails to re-appear (DeepSORT n_init), so a one-frame detection never persists.","Value":{"Bool":false},"Init":{"Bool":false},"Domain":{"Bool":null}},{"uuid":"485680cc-b8b9-4a01-acc7-3e8334bdc016","ObjectName":"Inlet","id":25,"Hidden":true,"Custom":"Skeleton","Exposed":"skeleton","Description":"Remap output keypoints (overlay + ports) to a standard skeleton layout. Native = the model's own layout; unsupported (e.g. animal -> human) falls back to Native.","Value":{"Int":0},"Init":{"Int":0},"Domain":{"Int":{"Values":[0,1,2,3,4,5,6,7,8]}},"Values":[["Native",{"Int":0}],["Coco17",{"Int":1}],["OpenPoseCoco18",{"Int":2}],["OpenPoseBody25",{"Int":3}],["Halpe26",{"Int":4}],["Mpii16",{"Int":5}],["H36m17",{"Int":6}],["Dlib68",{"Int":7}],["Hand21",{"Int":8}]],"FolderPort":"","FileExtensions":""},{"uuid":"40833147-4c42-4b8b-bb80-0b1d15dae129","ObjectName":"Inlet","id":26,"Hidden":true,"Custom":"Class Names File","Exposed":"class names file","Value":{"String":""},"Init":{"String":""},"Domain":{},"Filters":""},{"uuid":"238399a0-7e81-47e3-896f-08e8856e2973","ObjectName":"Inlet","id":27,"Hidden":true,"Custom":"Track Memory","Exposed":"track memory","Description":"Track IDs: how many frames a lost track is kept alive (Kalman-coasted) before it is dropped (~ frames-per-second = ~1s at 30). Higher = an id survives longer occlusions but may stick to a stale position.","Value":{"Int":30},"Init":{"Int":30},"Domain":{"Int":{"Min":1,"Max":300}}},{"uuid":"238399a0-7e81-47e3-896f-08e8856e2973","ObjectName":"Inlet","id":28,"Hidden":true,"Custom":"Re-ID Memory","Exposed":"re-id memory","Description":"Re-ID: how many frames a DEPARTED person's appearance is remembered so they re-acquire their id when they return to frame (~30-60s at 30 fps). 0 = no long-term gallery. Needs Re-ID on.","Value":{"Int":1800},"Init":{"Int":1800},"Domain":{"Int":{"Min":0,"Max":18000}}},{"uuid":"af2b4fc3-aecb-4c15-a5aa-1c573a239925","ObjectName":"Inlet","id":29,"Hidden":true,"Custom":"Re-ID Margin","Exposed":"re-id margin","Description":"Re-ID ambiguity guard: the best remembered identity must beat the second-best by at least this appearance margin before a returning person re-acquires its id. Higher = stricter, avoids swapping near-identical people (same uniform); 0 = off.","Value":{"Float":0.10000000149011612},"Init":{"Float":0.10000000149011612},"Domain":{"Float":{"Min":0.0,"Max":0.5}}},{"uuid":"238399a0-7e81-47e3-896f-08e8856e2973","ObjectName":"Inlet","id":30,"Hidden":true,"Custom":"Detection Hold","Exposed":"detection hold","Description":"Keep showing the last detection for up to this many frames after it is momentarily lost (a detector miss or a low-confidence frame) instead of blanking immediately. Bridges 1-2 frame dropouts so poses/boxes stop blinking. Applies to single detections and (as the coast window) to tracked instances. 0 = blank immediately.","Value":{"Int":6},"Init":{"Int":6},"Domain":{"Int":{"Min":0,"Max":60}}},{"uuid":"40833147-4c42-4b8b-bb80-0b1d15dae129","ObjectName":"Inlet","id":31,"Hidden":true,"Custom":"Body Model","Exposed":"body model","Value":{"String":""},"Init":{"String":""},"Domain":{},"Filters":"*.mhrbin"},{"uuid":"fb27e4cb-ea7f-41e2-ad92-2354498c1b6b","ObjectName":"Inlet","id":32,"Hidden":true,"Custom":"Mesh Keypoints","Exposed":"mesh keypoints","Description":"With a Body Model: replace the 3D keypoints (and the 2D ones, by projecting through the model's camera) with the MHR70 keypoints of the mesh, so they sit exactly on it. Off = the model's own keypoint heads (a few cm apart from the mesh).","Value":{"Bool":false},"Init":{"Bool":false},"Domain":{"Bool":null}},{"uuid":"8b1d76c4-3838-4ac0-9b9c-c12bc5db8e8a","ObjectName":"Inlet","id":33,"Hidden":true,"Custom":"Mesh Space","Exposed":"mesh space","Description":"Axes of the mesh Data Formats: OpenGL (Y up, Z toward the viewer, like score's 3D scenes) or Camera (OpenCV: Y down, Z forward, like Camera XYZ). Metres, camera at the origin, in both.","Value":{"String":"OpenGL"},"Init":{"String":"OpenGL"},"Domain":{"String":{"Values":["OpenGL","Camera"]}},"Values":["OpenGL","Camera"],"Pixmaps":[]},{"uuid":"fb27e4cb-ea7f-41e2-ad92-2354498c1b6b","ObjectName":"Inlet","id":34,"Hidden":true,"Custom":"Draw Mesh","Exposed":"draw mesh","Description":"With a Body Model: draw each person's mesh (shaded, in its track colour) on the output image, under the skeleton.","Value":{"Bool":false},"Init":{"Bool":false},"Domain":{"Bool":null}}],"Outlets":[{"uuid":"f1c71046-b754-49a5-8e66-d01374773dfc","ObjectName":"Outlet","id":0,"Hidden":false,"Custom":"Out","Exposed":"out"},{"uuid":"cff96158-cc72-46d7-99dc-b6038171375b","ObjectName":"Outlet","id":1,"Hidden":false,"Custom":"Detection","Exposed":"detection"},{"uuid":"cff96158-cc72-46d7-99dc-b6038171375b","ObjectName":"Outlet","id":2,"Hidden":false,"Custom":"Geometry","Exposed":"geometry"},{"uuid":"cff96158-cc72-46d7-99dc-b6038171375b","ObjectName":"Outlet","id":3,"Hidden":false,"Custom":"Poses","Exposed":"poses"},{"uuid":"cff96158-cc72-46d7-99dc-b6038171375b","ObjectName":"Outlet","id":4,"Hidden":false,"Custom":"Poses Geometry","Exposed":"poses geometry"},{"uuid":"cff96158-cc72-46d7-99dc-b6038171375b","ObjectName":"Outlet","id":5,"Hidden":false,"Custom":"Count","Exposed":"count"}]},{"uuid":"25c64b87-a44a-4fed-9f60-0a48906fd3ec","ObjectName":"MicroMapping","id":27,"Metadata":{"ScriptingName":"Micromap","Comment":"","Color":"Transparent1","Label":"","Touched":true},"Duration":10584000000,"Height":300.0,"StartOffset":0,"LoopDuration":10584000000,"Pos":[-917.1488093848064,-17.754904334778217],"Size":[180.0,35.0],"Loops":false,"FoldMode":0,"Inlets":[{"uuid":"769dd38a-bfb3-4dc6-b52a-b6abb7afe2a3","ObjectName":"Inlet","id":0,"Hidden":false,"Custom":"in","Exposed":"in"},{"uuid":"9ae797ea-d94c-4792-acec-9ec1932bae5d","ObjectName":"Inlet","id":1,"Hidden":true,"Custom":"Expression","Exposed":"expression","Value":{"String":"42x"},"Init":{"String":"x / 127"},"Domain":{}}],"Outlets":[{"uuid":"cff96158-cc72-46d7-99dc-b6038171375b","ObjectName":"Outlet","id":0,"Hidden":false,"Custom":"out","Exposed":"out"}]},{"uuid":"dbfc2101-40d7-4807-8804-571e88992e7e","ObjectName":"gfxProcess","id":24,"Metadata":{"ScriptingName":"SphereSplat.1","Comment":"","Color":"Transparent1","Label":"","Touched":true},"Duration":10584000000,"Height":300.0,"StartOffset":0,"LoopDuration":10584000000,"Pos":[-326.6286182742251,-153.70895151283253],"Size":[656.0,176.0],"Loops":false,"FoldMode":0,"Vertex":"// Reconstruct a lookAt view matrix from eye position looking at the origin.\nmat4 buildLookAt(vec3 eye, vec3 center, vec3 up)\n{\n  vec3 f = normalize(center - eye);\n  vec3 s = normalize(cross(f, up));\n  vec3 u = cross(s, f);\n\n  mat4 m = mat4(1.0);\n  m[0][0] =  s.x; m[1][0] =  s.y; m[2][0] =  s.z; m[3][0] = -dot(s, eye);\n  m[0][1] =  u.x; m[1][1] =  u.y; m[2][1] =  u.z; m[3][1] = -dot(u, eye);\n  m[0][2] = -f.x; m[1][2] = -f.y; m[2][2] = -f.z; m[3][2] =  dot(f, eye);\n  m[0][3] = 0.0;  m[1][3] = 0.0;  m[2][3] = 0.0;  m[3][3] = 1.0;\n  return m;\n}\n\nmat4 buildPerspective(float fovDeg, float aspect, float zNear, float zFar)\n{\n  float tanHalf = tan(radians(fovDeg) * 0.5);\n  mat4 m = mat4(0.0);\n  m[0][0] = 1.0 / (aspect * tanHalf);\n  m[1][1] = 1.0 / tanHalf;\n  // Reverse-Z (score project rule, CameraMath.hpp setReverseZPerspective):\n  // near -> NDC +1, far -> -1, paired with the engine's GREATER depth compare.\n  m[2][2] = (zFar + zNear) / (zFar - zNear);\n  m[2][3] = -1.0;\n  m[3][2] = (2.0 * zFar * zNear) / (zFar - zNear);\n  return m;\n}\n\nvoid main()\n{\n  isf_vertShaderInit();\n\n  // 6 vertices per quad: two CCW triangles forming a billboard quad.\n  // gl_VertexIndex cycles through the 6 corners for each particle instance.\n  int quadIdx = gl_VertexIndex % 6;\n\n  vec2 corners[6] = vec2[6](\n    vec2(-1.0, -1.0),\n    vec2( 1.0, -1.0),\n    vec2( 1.0,  1.0),\n    vec2(-1.0, -1.0),\n    vec2( 1.0,  1.0),\n    vec2(-1.0,  1.0)\n  );\n\n  float radius = sprite_size.x;\n  // Transform particle center to world space\n  vec3 center = (MODEL_MATRIX * vec4(position.xyz, 1.0)).xyz;\n\n  // The silhouette of a sphere seen in perspective is wider than its radius\n  // on the plane through its centre: r * D / sqrt(D^2 - r^2).\n  float camDist = length(center - cameraPos);\n  float cover = camDist > radius * 1.05 ? camDist / sqrt(camDist * camDist - radius * radius) : 3.2;\n\n  // Derive camera basis vectors from cameraPos, looking at the origin.\n  // Use per-particle forward direction for better billboarding when\n  // particles are far from the origin.\n  vec3 forward = normalize(center - cameraPos);\n  vec3 worldUp = vec3(0.0, 1.0, 0.0);\n\n  // Handle degenerate case where forward is nearly parallel to worldUp\n  vec3 right;\n  if(abs(dot(forward, worldUp)) > 0.999)\n    right = normalize(cross(forward, vec3(0.0, 0.0, 1.0)));\n  else\n    right = normalize(cross(forward, worldUp));\n\n  vec3 up = cross(right, forward);\n\n  // Expand billboard quad around the particle center.\n  // Scale by radius so the quad fully covers the sphere from any angle.\n  vec2 corner = corners[quadIdx] * radius * cover;\n  vec3 worldPos = center + right * corner.x + up * corner.y;\n\n  // Build view and projection matrices\n  float aspect = RENDERSIZE.x / RENDERSIZE.y;\n  mat4 view = buildLookAt(cameraPos, vec3(0.0), vec3(0.0, 1.0, 0.0));\n  mat4 proj = buildPerspective(fov, aspect, nearPlane, farPlane);\n\n  gl_Position = clipSpaceCorrMatrix * proj * view * vec4(worldPos, 1.0);\n\n  // Pass interpolated world position and sphere data to fragment shader\n  v_worldPos = worldPos;\n  v_sphereCenter = center;\n  v_sphereRadius = radius;\n  v_color = color;\n\n  isf_vertShaderFinish();\n}\n","Fragment":"/*{\n  \"DESCRIPTION\": \"Sphere impostors: each particle is drawn as a lit, solid 3D sphere of radius sprite_size.x (world units) in its color, ray-traced on a camera-facing quad and writing its true depth, so spheres intersect and hide each other correctly. Input: the instanced sprite topology from PointsToSprites or PopToSprites (6 vertices per particle). Phong lighting: one white light toward lightDir, ambient floor, a specular highlight (specularStrength, sharper with higher shininess). Particles with colour alpha 0 (the library's dead mark) are not drawn; alpha between 0 and 1 makes the sphere translucent (straight alpha; no sorting). Its own camera: cameraPos looking at the origin, fov in degrees.\",\n  \"CREDIT\": \"ossia score\",\n  \"ISFVSN\": \"2\",\n  \"MODE\": \"RAW_RASTER_PIPELINE\",\n  \"ALPHA\": \"straight\",\n  \"CATEGORIES\": [\n    \"Renderer\"\n  ],\n  \"VERTEX_INPUTS\": [\n    { \"TYPE\": \"vec4\", \"NAME\": \"position\" },\n    { \"TYPE\": \"vec4\", \"NAME\": \"color\" },\n    { \"TYPE\": \"vec4\", \"NAME\": \"sprite_size\" }\n  ],\n  \"VERTEX_OUTPUTS\": [\n    { \"TYPE\": \"vec3\", \"NAME\": \"v_worldPos\" },\n    { \"TYPE\": \"vec3\", \"NAME\": \"v_sphereCenter\" },\n    { \"TYPE\": \"float\", \"NAME\": \"v_sphereRadius\" },\n    { \"TYPE\": \"vec4\", \"NAME\": \"v_color\" }\n  ],\n  \"FRAGMENT_INPUTS\": [\n    { \"TYPE\": \"vec3\", \"NAME\": \"v_worldPos\" },\n    { \"TYPE\": \"vec3\", \"NAME\": \"v_sphereCenter\" },\n    { \"TYPE\": \"float\", \"NAME\": \"v_sphereRadius\" },\n    { \"TYPE\": \"vec4\", \"NAME\": \"v_color\" }\n  ],\n  \"FRAGMENT_OUTPUTS\": [\n    { \"TYPE\": \"vec4\", \"NAME\": \"isf_FragColor\" }\n  ],\n  \"INPUTS\": [\n    {\n      \"NAME\": \"lightDir\",\n      \"TYPE\": \"point3D\",\n      \"DEFAULT\": [0.3, 0.7, 0.5]\n    },\n    {\n      \"NAME\": \"ambient\",\n      \"TYPE\": \"float\",\n      \"DEFAULT\": 0.2,\n      \"MIN\": 0.0,\n      \"MAX\": 1.0\n    },\n    {\n      \"NAME\": \"shininess\",\n      \"TYPE\": \"float\",\n      \"DEFAULT\": 64.0,\n      \"MIN\": 1.0,\n      \"MAX\": 256.0\n    },\n    {\n      \"NAME\": \"specularStrength\",\n      \"TYPE\": \"float\",\n      \"DEFAULT\": 0.5,\n      \"MIN\": 0.0,\n      \"MAX\": 2.0\n    },\n    {\n      \"NAME\": \"cameraPos\",\n      \"TYPE\": \"point3D\",\n      \"DEFAULT\": [2.0, 2.0, 2.0],\n      \"MIN\": [-100.0, -100.0, -100.0],\n      \"MAX\": [100.0, 100.0, 100.0]\n    },\n    {\n      \"NAME\": \"fov\",\n      \"TYPE\": \"float\",\n      \"DEFAULT\": 45.0,\n      \"MIN\": 5.0,\n      \"MAX\": 120.0\n    },\n    {\n      \"NAME\": \"nearPlane\",\n      \"TYPE\": \"float\",\n      \"DEFAULT\": 0.01,\n      \"MIN\": 0.001,\n      \"MAX\": 1.0\n    },\n    {\n      \"NAME\": \"farPlane\",\n      \"TYPE\": \"float\",\n      \"DEFAULT\": 100.0,\n      \"MIN\": 1.0,\n      \"MAX\": 1000.0\n    }\n  ]\n}*/\n\n// Reconstruct the same view and projection matrices as the vertex shader\n// so we can write correct depth for ray-sphere hit points.\nmat4 buildLookAt(vec3 eye, vec3 center, vec3 up)\n{\n  vec3 f = normalize(center - eye);\n  vec3 s = normalize(cross(f, up));\n  vec3 u = cross(s, f);\n\n  mat4 m = mat4(1.0);\n  m[0][0] =  s.x; m[1][0] =  s.y; m[2][0] =  s.z; m[3][0] = -dot(s, eye);\n  m[0][1] =  u.x; m[1][1] =  u.y; m[2][1] =  u.z; m[3][1] = -dot(u, eye);\n  m[0][2] = -f.x; m[1][2] = -f.y; m[2][2] = -f.z; m[3][2] =  dot(f, eye);\n  m[0][3] = 0.0;  m[1][3] = 0.0;  m[2][3] = 0.0;  m[3][3] = 1.0;\n  return m;\n}\n\nmat4 buildPerspective(float fovDeg, float aspect, float zNear, float zFar)\n{\n  float tanHalf = tan(radians(fovDeg) * 0.5);\n  mat4 m = mat4(0.0);\n  m[0][0] = 1.0 / (aspect * tanHalf);\n  m[1][1] = 1.0 / tanHalf;\n  // Reverse-Z (score project rule, CameraMath.hpp setReverseZPerspective):\n  // near -> NDC +1, far -> -1, paired with the engine's GREATER depth compare.\n  m[2][2] = (zFar + zNear) / (zFar - zNear);\n  m[2][3] = -1.0;\n  m[3][2] = (2.0 * zFar * zNear) / (zFar - zNear);\n  return m;\n}\n\nvoid main()\n{\n  // Alpha 0 is the library's 'dead particle' mark (KillByAttribute,\n  // SurfaceConstrain Kill, POP death). An impostor is opaque, so drop it.\n  if(v_color.a <= 0.001)\n    discard;\n\n  // Ray from camera through this fragment's billboard position\n  vec3 rayOrigin = cameraPos;\n  vec3 rayDir = normalize(v_worldPos - cameraPos);\n\n  // Ray-sphere intersection\n  vec3 oc = rayOrigin - v_sphereCenter;\n  float b = dot(oc, rayDir);\n  float c = dot(oc, oc) - v_sphereRadius * v_sphereRadius;\n  float discriminant = b * b - c;\n\n  if(discriminant < 0.0)\n    discard;\n\n  float sqrtDisc = sqrt(discriminant);\n  float t = -b - sqrtDisc;\n\n  // If the nearest intersection is behind the camera, try the far one\n  if(t < 0.0)\n  {\n    t = -b + sqrtDisc;\n    if(t < 0.0)\n      discard;\n  }\n\n  vec3 hitPos = rayOrigin + rayDir * t;\n  vec3 normal = normalize(hitPos - v_sphereCenter);\n\n  // Phong lighting\n  vec3 L = normalize(lightDir);\n  float diff = max(dot(normal, L), 0.0);\n\n  vec3 viewDir = normalize(cameraPos - hitPos);\n  vec3 reflectDir = reflect(-L, normal);\n  float spec = pow(max(dot(viewDir, reflectDir), 0.0), shininess) * specularStrength;\n\n  vec3 litColor = v_color.rgb * (ambient + (1.0 - ambient) * diff) + vec3(spec);\n  isf_FragColor = vec4(litColor, v_color.a);\n\n  // Write correct depth so overlapping sphere impostors sort properly.\n  // Reconstruct the same matrices the vertex shader used.\n  float aspect = RENDERSIZE.x / RENDERSIZE.y;\n  mat4 view = buildLookAt(cameraPos, vec3(0.0), vec3(0.0, 1.0, 0.0));\n  mat4 proj = buildPerspective(fov, aspect, nearPlane, farPlane);\n  // GL-convention clip position (no clipSpaceCorrMatrix): NDC z is in [-1, 1]\n  // on every backend, so *0.5+0.5 gives the window depth. Applying the\n  // correction matrix first (Vulkan/Metal/D3D remap z to [0, 1]) and then\n  // remapping again squeezed every sphere into [0.5, 1].\n  vec4 clipPos = proj * view * vec4(hitPos, 1.0);\n  float ndcDepth = clipPos.z / clipPos.w;\n  gl_FragDepth = ndcDepth * 0.5 + 0.5;\n}\n","Inlets":[{"uuid":"f2ab26ea-415d-45a2-bfbc-2968c7c92a33","ObjectName":"Inlet","id":1000,"Hidden":false,"Custom":"Geometry In","Exposed":"geometry in"},{"uuid":"485680cc-b8b9-4a01-acc7-3e8334bdc016","ObjectName":"Inlet","id":0,"Hidden":true,"Custom":"Mode","Exposed":"mode","Value":{"Int":0},"Init":{"Int":0},"Domain":{"Int":{"Values":[0,1,2,3]}},"Values":[["Triangles",{"Int":0}],["Points",{"Int":1}],["Lines",{"Int":2}],["Geometry",{"Int":3}]],"FolderPort":"","FileExtensions":""},{"uuid":"fb27e4cb-ea7f-41e2-ad92-2354498c1b6b","ObjectName":"Inlet","id":1,"Hidden":true,"Custom":"EnableBlend","Exposed":"enableblend","Value":{"Bool":true},"Init":{"Bool":false},"Domain":{"Bool":null}},{"uuid":"485680cc-b8b9-4a01-acc7-3e8334bdc016","ObjectName":"Inlet","id":2,"Hidden":true,"Custom":"SrcColor","Exposed":"srccolor","Value":{"Int":1},"Init":{"Int":6},"Domain":{"Int":{"Values":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14]}},"Values":[["Zero",{"Int":0}],["One",{"Int":1}],["SrcColor",{"Int":2}],["OneMinusSrcColor",{"Int":3}],["DstColor",{"Int":4}],["OneMinusDstColor",{"Int":5}],["SrcAlpha",{"Int":6}],["OneMinusSrcAlpha",{"Int":7}],["DstAlpha",{"Int":8}],["OneMinusDstAlpha",{"Int":9}],["ConstantColor",{"Int":10}],["OneMinusConstantColor",{"Int":11}],["ConstantAlpha",{"Int":12}],["OneMinusConstantAlpha",{"Int":13}],["SrcAlphaSaturate",{"Int":14}]],"FolderPort":"","FileExtensions":""},{"uuid":"485680cc-b8b9-4a01-acc7-3e8334bdc016","ObjectName":"Inlet","id":3,"Hidden":true,"Custom":"DstColor","Exposed":"dstcolor","Value":{"Int":1},"Init":{"Int":7},"Domain":{"Int":{"Values":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14]}},"Values":[["Zero",{"Int":0}],["One",{"Int":1}],["SrcColor",{"Int":2}],["OneMinusSrcColor",{"Int":3}],["DstColor",{"Int":4}],["OneMinusDstColor",{"Int":5}],["SrcAlpha",{"Int":6}],["OneMinusSrcAlpha",{"Int":7}],["DstAlpha",{"Int":8}],["OneMinusDstAlpha",{"Int":9}],["ConstantColor",{"Int":10}],["OneMinusConstantColor",{"Int":11}],["ConstantAlpha",{"Int":12}],["OneMinusConstantAlpha",{"Int":13}],["SrcAlphaSaturate",{"Int":14}]],"FolderPort":"","FileExtensions":""},{"uuid":"485680cc-b8b9-4a01-acc7-3e8334bdc016","ObjectName":"Inlet","id":4,"Hidden":true,"Custom":"OpColor","Exposed":"opcolor","Value":{"Int":0},"Init":{"Int":0},"Domain":{"Int":{"Values":[0,1,2,3,4]}},"Values":[["Add",{"Int":0}],["Substract",{"Int":1}],["Reverse Substract",{"Int":2}],["Min",{"Int":3}],["Max",{"Int":4}]],"FolderPort":"","FileExtensions":""},{"uuid":"485680cc-b8b9-4a01-acc7-3e8334bdc016","ObjectName":"Inlet","id":5,"Hidden":true,"Custom":"SrcAlpha","Exposed":"srcalpha","Value":{"Int":1},"Init":{"Int":1},"Domain":{"Int":{"Values":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14]}},"Values":[["Zero",{"Int":0}],["One",{"Int":1}],["SrcColor",{"Int":2}],["OneMinusSrcColor",{"Int":3}],["DstColor",{"Int":4}],["OneMinusDstColor",{"Int":5}],["SrcAlpha",{"Int":6}],["OneMinusSrcAlpha",{"Int":7}],["DstAlpha",{"Int":8}],["OneMinusDstAlpha",{"Int":9}],["ConstantColor",{"Int":10}],["OneMinusConstantColor",{"Int":11}],["ConstantAlpha",{"Int":12}],["OneMinusConstantAlpha",{"Int":13}],["SrcAlphaSaturate",{"Int":14}]],"FolderPort":"","FileExtensions":""},{"uuid":"485680cc-b8b9-4a01-acc7-3e8334bdc016","ObjectName":"Inlet","id":6,"Hidden":true,"Custom":"DstAlpha","Exposed":"dstalpha","Value":{"Int":7},"Init":{"Int":7},"Domain":{"Int":{"Values":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14]}},"Values":[["Zero",{"Int":0}],["One",{"Int":1}],["SrcColor",{"Int":2}],["OneMinusSrcColor",{"Int":3}],["DstColor",{"Int":4}],["OneMinusDstColor",{"Int":5}],["SrcAlpha",{"Int":6}],["OneMinusSrcAlpha",{"Int":7}],["DstAlpha",{"Int":8}],["OneMinusDstAlpha",{"Int":9}],["ConstantColor",{"Int":10}],["OneMinusConstantColor",{"Int":11}],["ConstantAlpha",{"Int":12}],["OneMinusConstantAlpha",{"Int":13}],["SrcAlphaSaturate",{"Int":14}]],"FolderPort":"","FileExtensions":""},{"uuid":"485680cc-b8b9-4a01-acc7-3e8334bdc016","ObjectName":"Inlet","id":7,"Hidden":true,"Custom":"OpAlpha","Exposed":"opalpha","Value":{"Int":0},"Init":{"Int":0},"Domain":{"Int":{"Values":[0,1,2,3,4]}},"Values":[["Add",{"Int":0}],["Substract",{"Int":1}],["Reverse Substract",{"Int":2}],["Min",{"Int":3}],["Max",{"Int":4}]],"FolderPort":"","FileExtensions":""},{"uuid":"377e8205-b442-4d54-8832-3761def522b2","ObjectName":"Inlet","id":8,"Hidden":true,"Custom":"lightDir","Exposed":"lightdir","Value":{"Vec3f":[-0.30000001192092896,-0.699999988079071,0.5]},"Init":{"Vec3f":[0.30000001192092896,0.699999988079071,0.5]},"Domain":{"Vec3f":{"Min":[-0.30000001192092896,-0.699999988079071,-0.5],"Max":[0.6000000238418579,1.399999976158142,1.0],"Values":[[],[],[]]}}},{"uuid":"af2b4fc3-aecb-4c15-a5aa-1c573a239925","ObjectName":"Inlet","id":9,"Hidden":true,"Custom":"ambient","Exposed":"ambient","Value":{"Float":0.08951710909605026},"Init":{"Float":0.20000000298023224},"Domain":{"Float":{"Min":0.0,"Max":1.0}}},{"uuid":"af2b4fc3-aecb-4c15-a5aa-1c573a239925","ObjectName":"Inlet","id":10,"Hidden":true,"Custom":"shininess","Exposed":"shininess","Value":{"Float":214.9202117919922},"Init":{"Float":64.0},"Domain":{"Float":{"Min":1.0,"Max":256.0}}},{"uuid":"af2b4fc3-aecb-4c15-a5aa-1c573a239925","ObjectName":"Inlet","id":11,"Hidden":true,"Custom":"specularStrength","Exposed":"specularstrength","Value":{"Float":2.0},"Init":{"Float":0.5},"Domain":{"Float":{"Min":0.0,"Max":2.0}}},{"uuid":"377e8205-b442-4d54-8832-3761def522b2","ObjectName":"Inlet","id":12,"Hidden":true,"Custom":"cameraPos","Exposed":"camerapos","Value":{"Vec3f":[1.0,-30.0,15.0]},"Init":{"Vec3f":[2.0,2.0,2.0]},"Domain":{"Vec3f":{"Min":[-100.0,-100.0,-100.0],"Max":[100.0,100.0,100.0],"Values":[[],[],[]]}}},{"uuid":"af2b4fc3-aecb-4c15-a5aa-1c573a239925","ObjectName":"Inlet","id":13,"Hidden":true,"Custom":"fov","Exposed":"fov","Value":{"Float":99.62779998779297},"Init":{"Float":45.0},"Domain":{"Float":{"Min":5.0,"Max":120.0}}},{"uuid":"af2b4fc3-aecb-4c15-a5aa-1c573a239925","ObjectName":"Inlet","id":14,"Hidden":true,"Custom":"nearPlane","Exposed":"nearplane","Value":{"Float":0.10100000351667404},"Init":{"Float":0.009999999776482582},"Domain":{"Float":{"Min":0.0010000000474974513,"Max":1.0}}},{"uuid":"af2b4fc3-aecb-4c15-a5aa-1c573a239925","ObjectName":"Inlet","id":15,"Hidden":true,"Custom":"farPlane","Exposed":"farplane","Value":{"Float":1000.0},"Init":{"Float":100.0},"Domain":{"Float":{"Min":1.0,"Max":1000.0}}},{"uuid":"f2ab26ea-415d-45a2-bfbc-2968c7c92a33","ObjectName":"Inlet","id":1001,"Hidden":false,"Custom":"Camera","Exposed":"camera"}],"Outlets":[{"uuid":"f1c71046-b754-49a5-8e66-d01374773dfc","ObjectName":"Outlet","id":1000,"Hidden":false,"Custom":"Texture Out","Exposed":"texture out"}]},{"uuid":"acdc0a7e-676f-462c-b46d-c6cd99fa74a2","ObjectName":"avnd_counter","id":21,"Metadata":{"ScriptingName":"Counter","Comment":"","Color":"Transparent1","Label":"","Touched":true},"Duration":10584000000,"Height":300.0,"StartOffset":0,"LoopDuration":10584000000,"Pos":[-1190.3812867806516,-23.31407671366145],"Size":[243.0,126.0],"Loops":false,"FoldMode":0,"Inlets":[{"uuid":"769dd38a-bfb3-4dc6-b52a-b6abb7afe2a3","ObjectName":"Inlet","id":0,"Hidden":false,"Custom":"Increase","Exposed":"increase"},{"uuid":"8b1d76c4-3838-4ac0-9b9c-c12bc5db8e8a","ObjectName":"Inlet","id":1,"Hidden":true,"Custom":"Mode","Exposed":"mode","Value":{"String":"Wrap"},"Init":{"String":"Free"},"Domain":{"String":{"Values":["Free","Clip","Wrap","Fold"]}},"Values":["Free","Clip","Wrap","Fold"],"Pixmaps":[]},{"uuid":"238399a0-7e81-47e3-896f-08e8856e2973","ObjectName":"Inlet","id":2,"Hidden":true,"Custom":"Max","Exposed":"max","Value":{"Int":2048},"Init":{"Int":100},"Domain":{"Int":{"Min":0,"Max":2147483647}}},{"uuid":"7cd210d3-ebd1-4f71-9de6-cccfb639cbc3","ObjectName":"Inlet","id":3,"Hidden":true,"Custom":"Output","Exposed":"output","Value":{"Impulse":null},"Init":{"Impulse":null},"Domain":{"Impulse":null}},{"uuid":"7cd210d3-ebd1-4f71-9de6-cccfb639cbc3","ObjectName":"Inlet","id":4,"Hidden":true,"Custom":"Reset","Exposed":"reset","Value":{"Impulse":null},"Init":{"Impulse":null},"Domain":{"Impulse":null}},{"uuid":"485680cc-b8b9-4a01-acc7-3e8334bdc016","ObjectName":"Inlet","id":5,"Hidden":true,"Custom":"Send","Exposed":"send","Value":{"Int":0},"Init":{"Int":0},"Domain":{"Int":{"Values":[0,1,2]}},"Values":[["EveryTick",{"Int":0}],["OnInput",{"Int":1}],["Manually",{"Int":2}]],"FolderPort":"","FileExtensions":""}],"Outlets":[{"uuid":"cff96158-cc72-46d7-99dc-b6038171375b","ObjectName":"Outlet","id":0,"Hidden":false,"Custom":"Count","Exposed":"count"},{"uuid":"cff96158-cc72-46d7-99dc-b6038171375b","ObjectName":"Outlet","id":1,"Hidden":false,"Custom":"Ceiling","Exposed":"ceiling"}]},{"uuid":"3127c11b-61d3-4d5e-a896-8b56e628dfbc","ObjectName":"avnd_arraytobuffer","id":3,"Metadata":{"ScriptingName":"Array to buffer","Comment":"","Color":"Transparent1","Label":"","Touched":true},"Duration":10584000000,"Height":300.0,"StartOffset":0,"LoopDuration":10584000000,"Pos":[-927.4403554314767,-133.35449842048388],"Size":[198.0,80.0],"Loops":false,"FoldMode":0,"Inlets":[{"uuid":"769dd38a-bfb3-4dc6-b52a-b6abb7afe2a3","ObjectName":"Inlet","id":0,"Hidden":false,"Custom":"Input","Exposed":"input"},{"uuid":"8b1d76c4-3838-4ac0-9b9c-c12bc5db8e8a","ObjectName":"Inlet","id":1,"Hidden":true,"Custom":"Type","Exposed":"type","Value":{"String":"Float32"},"Init":{"String":"Float32"},"Domain":{"String":{"Values":["Float32","Float64","SInt32","UInt32","SInt16","UInt16","SInt8","UInt8"]}},"Values":["Float32","Float64","SInt32","UInt32","SInt16","UInt16","SInt8","UInt8"],"Pixmaps":[]}],"Outlets":[{"uuid":"f1c71046-b754-49a5-8e66-d01374773dfc","ObjectName":"Outlet","id":0,"Hidden":false,"Custom":"Output","Exposed":"output"}]},{"uuid":"a5bbffe0-93d2-4e70-995c-cf46c2c43520","ObjectName":"CSF","id":2,"Metadata":{"ScriptingName":"ParticleTrail","Comment":"","Color":"Transparent1","Label":"","Touched":true},"Duration":10584000000,"Height":300.0,"StartOffset":0,"LoopDuration":10584000000,"Pos":[-712.314637429256,-157.6611880038887],"Size":[360.0,311.5],"Loops":false,"FoldMode":0,"Compute":"/*{\n\"DESCRIPTION\": \"Generates a particle trail from an SSBO. Each frame, new points are appended into a circular buffer in the output geometry. Old particles fade and shrink over time.\",\n\"CREDIT\": \"ossia score\",\n\"ISFVSN\": \"2.0\",\n\"MODE\": \"COMPUTE_SHADER\",\n\"CATEGORIES\": [\"Geometry Generator\", \"Particles\"],\n\"RESOURCES\": [\n  {\n    \"NAME\": \"geo\",\n    \"TYPE\": \"geometry\",\n    \"VERTEX_COUNT\": 6,\n    \"INSTANCE_COUNT\": \"$maxParticles\",\n    \"ATTRIBUTES\": [\n      { \"NAME\": \"position\", \"SEMANTIC\": \"position\", \"TYPE\": \"vec4\", \"ACCESS\": \"read_write\", \"RATE\": \"instance\" },\n      { \"NAME\": \"color\",    \"SEMANTIC\": \"color\",    \"TYPE\": \"vec4\", \"ACCESS\": \"read_write\", \"RATE\": \"instance\" },\n      { \"NAME\": \"sprite_size\", \"SEMANTIC\": \"sprite_size\",  \"TYPE\": \"vec4\", \"ACCESS\": \"read_write\", \"RATE\": \"instance\" }\n    ]\n  },\n  {\n    \"NAME\": \"xyBuffer\",\n    \"TYPE\": \"storage\",\n    \"ACCESS\": \"read_only\",\n    \"LAYOUT\": [\n      { \"NAME\": \"particles\", \"TYPE\": \"vec2[]\" }\n    ],\n    \"DESCRIPTION\": \"SSBO containing the NEW points for this frame as flat [x,y,x,y...].\"\n  },\n  { \"NAME\": \"maxParticles\",    \"TYPE\": \"long\",  \"DEFAULT\": 100, \"MIN\": 1, \"MAX\": 2048 },\n  { \"NAME\": \"newPointCount\",   \"TYPE\": \"long\",  \"DEFAULT\": 0,   \"MIN\": 0, \"MAX\": 2048, \"DESCRIPTION\": \"How many new points are in xyBuffer this frame.\" },\n  { \"NAME\": \"writeHead\",       \"TYPE\": \"long\",  \"DEFAULT\": 0,   \"MIN\": 0, \"MAX\": 2147483647, \"DESCRIPTION\": \"Circular buffer write head. Host increments this by newPointCount each frame.\" },\n  { \"NAME\": \"totalWritten\",    \"TYPE\": \"long\",  \"DEFAULT\": 0,   \"MIN\": 0, \"MAX\": 2147483647, \"DESCRIPTION\": \"Total points written so far (for knowing when buffer isn't full yet).\" },\n  { \"NAME\": \"trailFade\",       \"TYPE\": \"bool\",  \"DEFAULT\": true },\n  { \"NAME\": \"baseColor\",       \"TYPE\": \"color\", \"DEFAULT\": [0.2, 0.8, 1.0, 1.0] },\n  { \"NAME\": \"tailColor\",       \"TYPE\": \"color\", \"DEFAULT\": [0.0, 0.1, 0.3, 0.0] },\n  { \"NAME\": \"startSize\",       \"TYPE\": \"float\", \"DEFAULT\": 1.0, \"MIN\": 0.0, \"MAX\": 10.0 },\n  { \"NAME\": \"endSize\",         \"TYPE\": \"float\", \"DEFAULT\": 0.0, \"MIN\": 0.0, \"MAX\": 10.0 }\n],\n\"PASSES\": [\n  { \"LOCAL_SIZE\": [64, 1, 1], \"EXECUTION_MODEL\": { \"TYPE\": \"PER_INSTANCE\" } }\n]\n}*/\n\nvoid main()\n{\n    uint idx = gl_GlobalInvocationID.x;\n    uint uMax = uint(maxParticles);\n\n    if (idx >= uMax)\n        return;\n\n    uint uNewCount    = uint(newPointCount);\n    uint uWriteHead   = uint(writeHead);\n    uint uTotalWritten = uint(totalWritten);\n\n    // --- Phase 1: Write new points into the circular buffer ---\n    // Threads where idx < newPointCount are responsible for writing new data.\n    // The write position in the ring is (writeHead + idx) % maxParticles.\n    if (idx < uNewCount)\n    {\n        uint writeSlot = (uWriteHead + idx) % uMax;\n        vec2 p = xyBuffer.particles[idx];\n        ISF_WRITE(geo, position)[writeSlot] = vec4(p.x, p.y, 0.0, 1.0);\n    }\n\n    // --- Phase 2: Update color and size for ALL particles based on age ---\n    // After new points are written, the new head will be at:\n    uint newHead = (uWriteHead + uNewCount) % uMax;\n    // How many particles are actually alive:\n    uint aliveCount = min(uTotalWritten + uNewCount, uMax);\n\n    // Compute this particle's age in the ring buffer.\n    // Age 0 = newest (just written), age (aliveCount-1) = oldest.\n    // The newest particle is at index (newHead - 1) mod uMax,\n    // so age of slot idx = (newHead - 1 - idx) mod uMax.\n    uint age = (newHead + uMax - 1u - idx) % uMax;\n\n    // If the buffer isn't full yet, some slots are unoccupied.\n    // Hide them by giving size 0 and alpha 0.\n    if (age >= aliveCount)\n    {\n        ISF_WRITE(geo, color)[idx]       = vec4(0.0);\n        ISF_WRITE(geo, sprite_size)[idx] = vec4(0.0);\n        return;\n    }\n\n    float normalizedAge = float(age) / float(max(aliveCount - 1u, 1u));\n\n    vec4  finalColor = baseColor;\n    float finalSize  = startSize;\n\n    if (trailFade)\n    {\n        finalColor = mix(baseColor, tailColor, normalizedAge);\n        finalSize  = mix(startSize, endSize,   normalizedAge);\n    }\n \n    ISF_WRITE(geo, color)[idx]       = finalColor;\n    ISF_WRITE(geo, sprite_size)[idx] = vec4(finalSize);\n}","Inlets":[{"uuid":"f2ab26ea-415d-45a2-bfbc-2968c7c92a33","ObjectName":"Inlet","id":0,"Hidden":false,"Custom":"geo","Exposed":"geo"},{"uuid":"5ac86198-2d03-4830-9e41-a6d529922d29","ObjectName":"Inlet","id":1,"Hidden":false,"Custom":"xyBuffer","Exposed":"xybuffer","Format":0,"FormatSet":false,"Filter":2,"AddressMode":1,"MipmapMode":0},{"uuid":"238399a0-7e81-47e3-896f-08e8856e2973","ObjectName":"Inlet","id":2,"Hidden":true,"Custom":"maxParticles","Exposed":"maxparticles","Value":{"Int":2048},"Init":{"Int":100},"Domain":{"Int":{"Min":1,"Max":2048}}},{"uuid":"238399a0-7e81-47e3-896f-08e8856e2973","ObjectName":"Inlet","id":3,"Hidden":true,"Custom":"newPointCount","Exposed":"newpointcount","Value":{"Int":762},"Init":{"Int":0},"Domain":{"Int":{"Min":0,"Max":2048}}},{"uuid":"238399a0-7e81-47e3-896f-08e8856e2973","ObjectName":"Inlet","id":4,"Hidden":true,"Custom":"writeHead","Exposed":"writehead","Value":{"Int":0},"Init":{"Int":0},"Domain":{"Int":{"Min":0,"Max":2147483647}}},{"uuid":"238399a0-7e81-47e3-896f-08e8856e2973","ObjectName":"Inlet","id":5,"Hidden":true,"Custom":"totalWritten","Exposed":"totalwritten","Value":{"Int":2048},"Init":{"Int":0},"Domain":{"Int":{"Min":0,"Max":2147483647}}},{"uuid":"fb27e4cb-ea7f-41e2-ad92-2354498c1b6b","ObjectName":"Inlet","id":6,"Hidden":true,"Custom":"trailFade","Exposed":"trailfade","Value":{"Bool":true},"Init":{"Bool":true},"Domain":{"Bool":null}},{"uuid":"8f38638e-9f9f-48b0-ae36-1cba86ef5703","ObjectName":"Inlet","id":7,"Hidden":true,"Custom":"baseColor","Exposed":"basecolor","Value":{"Vec4f":[0.20000000298023224,0.800000011920929,1.0,1.0]},"Init":{"Vec4f":[0.20000000298023224,0.800000011920929,1.0,1.0]},"Domain":{}},{"uuid":"8f38638e-9f9f-48b0-ae36-1cba86ef5703","ObjectName":"Inlet","id":8,"Hidden":true,"Custom":"tailColor","Exposed":"tailcolor","Value":{"Vec4f":[0.9951323866844177,0.23038071393966675,0.045136187225580215,1.0]},"Init":{"Vec4f":[0.0,0.10000000149011612,0.30000001192092896,0.0]},"Domain":{}},{"uuid":"af2b4fc3-aecb-4c15-a5aa-1c573a239925","ObjectName":"Inlet","id":9,"Hidden":true,"Custom":"startSize","Exposed":"startsize","Value":{"Float":0.5374671816825867},"Init":{"Float":1.0},"Domain":{"Float":{"Min":0.0,"Max":10.0}}},{"uuid":"af2b4fc3-aecb-4c15-a5aa-1c573a239925","ObjectName":"Inlet","id":10,"Hidden":true,"Custom":"endSize","Exposed":"endsize","Value":{"Float":0.0},"Init":{"Float":0.0},"Domain":{"Float":{"Min":0.0,"Max":10.0}}}],"Outlets":[{"uuid":"848061c5-e8a0-4a13-9985-e8df30ce6d4f","ObjectName":"Outlet","id":0,"Hidden":false,"Custom":"geo_out","Exposed":"geo_out"}]},{"uuid":"898078f0-b825-4c29-a997-dc856e351a97","ObjectName":"point2d_view","id":33,"Metadata":{"ScriptingName":"Point2D View","Comment":"","Color":"Transparent1","Label":"","Touched":true},"Duration":10584000000,"Height":300.0,"StartOffset":0,"LoopDuration":10584000000,"Pos":[-1687.2911334086357,159.28010302678922],"Size":[200.0,100.0],"Loops":false,"FoldMode":2,"Inlets":[{"uuid":"9a13fb32-269a-47bf-99a9-930188c1f19c","ObjectName":"Inlet","id":0,"Hidden":true,"Custom":"XY","Exposed":"xy","Value":{},"Init":{},"Domain":{}},{"uuid":"10d62b0d-5bc9-4ac9-9540-9e8ac0c24947","ObjectName":"Inlet","id":1,"Hidden":true,"Custom":"Min X","Exposed":"min x","Value":{"Float":0.0},"Init":{"Float":0.0},"Domain":{"Float":{"Min":-8388608.0,"Max":8388608.0}}},{"uuid":"10d62b0d-5bc9-4ac9-9540-9e8ac0c24947","ObjectName":"Inlet","id":2,"Hidden":true,"Custom":"Min Y","Exposed":"min y","Value":{"Float":0.0},"Init":{"Float":0.0},"Domain":{"Float":{"Min":-8388608.0,"Max":8388608.0}}},{"uuid":"10d62b0d-5bc9-4ac9-9540-9e8ac0c24947","ObjectName":"Inlet","id":3,"Hidden":true,"Custom":"Max X","Exposed":"max x","Value":{"Float":1.0},"Init":{"Float":1.0},"Domain":{"Float":{"Min":-8388608.0,"Max":8388608.0}}},{"uuid":"10d62b0d-5bc9-4ac9-9540-9e8ac0c24947","ObjectName":"Inlet","id":4,"Hidden":true,"Custom":"Max Y","Exposed":"max y","Value":{"Float":1.0},"Init":{"Float":1.0},"Domain":{"Float":{"Min":-8388608.0,"Max":8388608.0}}}],"Outlets":[]},{"uuid":"7be51631-fb4b-4152-9ca7-86fdafa8a989","ObjectName":"Display","id":34,"Metadata":{"ScriptingName":"Text Box","Comment":"","Color":"Transparent1","Label":"","Touched":true},"Duration":10584000000,"Height":300.0,"StartOffset":0,"LoopDuration":10584000000,"Pos":[-2105.46893582975,-509.2299422999223],"Size":[567.0,143.0],"Loops":false,"FoldMode":0,"Inlets":[{"uuid":"9ae797ea-d94c-4792-acec-9ec1932bae5d","ObjectName":"Inlet","id":0,"Hidden":true,"Custom":"in","Exposed":"in","Value":{"String":"<!DOCTYPE HTML PUBLIC \"-//W3C//DTD HTML 4.0//EN\" \"http://www.w3.org/TR/REC-html40/strict.dtd\">\n<html><head><meta name=\"qrichtext\" content=\"1\" /><meta charset=\"utf-8\" /><style type=\"text/css\">\np, li { white-space: pre-wrap; }\nhr { height: 1px; border-width: 0; }\nli.unchecked::marker { content: \"\\2610\"; }\nli.checked::marker { content: \"\\2612\"; }\n</style></head><body style=\" font-family:'Ubuntu'; font-size:13px; font-weight:400; font-style:normal;\">\n<p style=\" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\">This example shows how to go from keypoints from pose tracking, </p>\n<p style=\" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\">to 3D geometry and GPU pipelines.<br /><br />First, you need to download a model pack and presets, <br />for instance from LivePose (SAT):<br />https://github.com/sat-mtl/livepose/releases/download/model-storage/onnx-models-large.7z<br />and extract them in your score user library (&amp; restart score for it to parse the new presets).<br /><br />Then, pick the preset of your choice: the default preset is a simple face tracking.</p></body></html>"},"Init":{"String":"(Double-click to edit)"},"Domain":{}},{"uuid":"fb27e4cb-ea7f-41e2-ad92-2354498c1b6b","ObjectName":"Inlet","id":1,"Hidden":true,"Custom":"Auto-reflow","Exposed":"auto-reflow","Value":{"Bool":false},"Init":{"Bool":false},"Domain":{"Bool":null}}],"Outlets":[]},{"uuid":"7be51631-fb4b-4152-9ca7-86fdafa8a989","ObjectName":"Display","id":35,"Metadata":{"ScriptingName":"Text Box.1","Comment":"","Color":"Transparent1","Label":"","Touched":true},"Duration":10584000000,"Height":300.0,"StartOffset":0,"LoopDuration":10584000000,"Pos":[-1461.7575916089254,162.76807207619458],"Size":[334.0,23.0],"Loops":false,"FoldMode":0,"Inlets":[{"uuid":"9ae797ea-d94c-4792-acec-9ec1932bae5d","ObjectName":"Inlet","id":0,"Hidden":true,"Custom":"in","Exposed":"in","Value":{"String":"<!DOCTYPE HTML PUBLIC \"-//W3C//DTD HTML 4.0//EN\" \"http://www.w3.org/TR/REC-html40/strict.dtd\">\n<html><head><meta name=\"qrichtext\" content=\"1\" /><meta charset=\"utf-8\" /><style type=\"text/css\">\np, li { white-space: pre-wrap; }\nhr { height: 1px; border-width: 0; }\nli.unchecked::marker { content: \"\\2610\"; }\nli.checked::marker { content: \"\\2612\"; }\n</style></head><body style=\" font-family:'Ubuntu'; font-size:13px; font-weight:400; font-style:normal;\">\n<p style=\" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\">The data in this case is between [0; 1] : we extend it a bit</p></body></html>"},"Init":{"String":"(Double-click to edit)"},"Domain":{}},{"uuid":"fb27e4cb-ea7f-41e2-ad92-2354498c1b6b","ObjectName":"Inlet","id":1,"Hidden":true,"Custom":"Auto-reflow","Exposed":"auto-reflow","Value":{"Bool":false},"Init":{"Bool":false},"Domain":{"Bool":null}}],"Outlets":[]},{"uuid":"7be51631-fb4b-4152-9ca7-86fdafa8a989","ObjectName":"Display","id":36,"Metadata":{"ScriptingName":"Text Box.2","Comment":"","Color":"Transparent1","Label":"","Touched":true},"Duration":10584000000,"Height":300.0,"StartOffset":0,"LoopDuration":10584000000,"Pos":[-1194.2575916089254,116.76807207619458],"Size":[252.0,38.0],"Loops":false,"FoldMode":0,"Inlets":[{"uuid":"9ae797ea-d94c-4792-acec-9ec1932bae5d","ObjectName":"Inlet","id":0,"Hidden":true,"Custom":"in","Exposed":"in","Value":{"String":"<!DOCTYPE HTML PUBLIC \"-//W3C//DTD HTML 4.0//EN\" \"http://www.w3.org/TR/REC-html40/strict.dtd\">\n<html><head><meta name=\"qrichtext\" content=\"1\" /><meta charset=\"utf-8\" /><style type=\"text/css\">\np, li { white-space: pre-wrap; }\nhr { height: 1px; border-width: 0; }\nli.unchecked::marker { content: \"\\2610\"; }\nli.checked::marker { content: \"\\2612\"; }\n</style></head><body style=\" font-family:'Ubuntu'; font-size:13px; font-weight:400; font-style:normal;\">\n<p style=\" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\">We're going to have a virtual point queue<br />in a compute shader</p></body></html>"},"Init":{"String":"(Double-click to edit)"},"Domain":{}},{"uuid":"fb27e4cb-ea7f-41e2-ad92-2354498c1b6b","ObjectName":"Inlet","id":1,"Hidden":true,"Custom":"Auto-reflow","Exposed":"auto-reflow","Value":{"Bool":false},"Init":{"Bool":false},"Domain":{"Bool":null}}],"Outlets":[]},{"uuid":"7be51631-fb4b-4152-9ca7-86fdafa8a989","ObjectName":"Display","id":37,"Metadata":{"ScriptingName":"Text Box.3","Comment":"","Color":"Transparent1","Label":"","Touched":true},"Duration":10584000000,"Height":300.0,"StartOffset":0,"LoopDuration":10584000000,"Pos":[-959.2575916089254,-188.73192792380544],"Size":[217.0,23.0],"Loops":false,"FoldMode":0,"Inlets":[{"uuid":"9ae797ea-d94c-4792-acec-9ec1932bae5d","ObjectName":"Inlet","id":0,"Hidden":true,"Custom":"in","Exposed":"in","Value":{"String":"<!DOCTYPE HTML PUBLIC \"-//W3C//DTD HTML 4.0//EN\" \"http://www.w3.org/TR/REC-html40/strict.dtd\">\n<html><head><meta name=\"qrichtext\" content=\"1\" /><meta charset=\"utf-8\" /><style type=\"text/css\">\np, li { white-space: pre-wrap; }\nhr { height: 1px; border-width: 0; }\nli.unchecked::marker { content: \"\\2610\"; }\nli.checked::marker { content: \"\\2612\"; }\n</style></head><body style=\" font-family:'Ubuntu'; font-size:13px; font-weight:400; font-style:normal;\">\n<p style=\" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\">Turn our CPU buffer into a GPU one</p></body></html>"},"Init":{"String":"(Double-click to edit)"},"Domain":{}},{"uuid":"fb27e4cb-ea7f-41e2-ad92-2354498c1b6b","ObjectName":"Inlet","id":1,"Hidden":true,"Custom":"Auto-reflow","Exposed":"auto-reflow","Value":{"Bool":false},"Init":{"Bool":false},"Domain":{"Bool":null}}],"Outlets":[]},{"uuid":"7be51631-fb4b-4152-9ca7-86fdafa8a989","ObjectName":"Display","id":38,"Metadata":{"ScriptingName":"Text Box.4","Comment":"","Color":"Transparent1","Label":"","Touched":true},"Duration":10584000000,"Height":300.0,"StartOffset":0,"LoopDuration":10584000000,"Pos":[-711.7575916089254,-262.2319279238054],"Size":[331.0,68.0],"Loops":false,"FoldMode":0,"Inlets":[{"uuid":"9ae797ea-d94c-4792-acec-9ec1932bae5d","ObjectName":"Inlet","id":0,"Hidden":true,"Custom":"in","Exposed":"in","Value":{"String":"<!DOCTYPE HTML PUBLIC \"-//W3C//DTD HTML 4.0//EN\" \"http://www.w3.org/TR/REC-html40/strict.dtd\">\n<html><head><meta name=\"qrichtext\" content=\"1\" /><meta charset=\"utf-8\" /><style type=\"text/css\">\np, li { white-space: pre-wrap; }\nhr { height: 1px; border-width: 0; }\nli.unchecked::marker { content: \"\\2610\"; }\nli.checked::marker { content: \"\\2612\"; }\n</style></head><body style=\" font-family:'Ubuntu'; font-size:13px; font-weight:400; font-style:normal;\">\n<p style=\" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\">This is the most interesting compute shader (CSF):<br />it takes as input a raw buffer, and turns it into a <br />proper GPU mesh, in this case tailored for our example<br />sphere splatting renderer.</p></body></html>"},"Init":{"String":"(Double-click to edit)"},"Domain":{}},{"uuid":"fb27e4cb-ea7f-41e2-ad92-2354498c1b6b","ObjectName":"Inlet","id":1,"Hidden":true,"Custom":"Auto-reflow","Exposed":"auto-reflow","Value":{"Bool":false},"Init":{"Bool":false},"Domain":{"Bool":null}}],"Outlets":[]},{"uuid":"7be51631-fb4b-4152-9ca7-86fdafa8a989","ObjectName":"Display","id":39,"Metadata":{"ScriptingName":"Text Box.5","Comment":"","Color":"Transparent1","Label":"","Touched":true},"Duration":10584000000,"Height":300.0,"StartOffset":0,"LoopDuration":10584000000,"Pos":[-328.7575916089254,-204.73192792380544],"Size":[374.0,23.0],"Loops":false,"FoldMode":0,"Inlets":[{"uuid":"9ae797ea-d94c-4792-acec-9ec1932bae5d","ObjectName":"Inlet","id":0,"Hidden":true,"Custom":"in","Exposed":"in","Value":{"String":"<!DOCTYPE HTML PUBLIC \"-//W3C//DTD HTML 4.0//EN\" \"http://www.w3.org/TR/REC-html40/strict.dtd\">\n<html><head><meta name=\"qrichtext\" content=\"1\" /><meta charset=\"utf-8\" /><style type=\"text/css\">\np, li { white-space: pre-wrap; }\nhr { height: 1px; border-width: 0; }\nli.unchecked::marker { content: \"\\2610\"; }\nli.checked::marker { content: \"\\2612\"; }\n</style></head><body style=\" font-family:'Ubuntu'; font-size:13px; font-weight:400; font-style:normal;\">\n<p style=\" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;\">Finally, the render pipeline takes that geometry and renders it.</p></body></html>"},"Init":{"String":"(Double-click to edit)"},"Domain":{}},{"uuid":"fb27e4cb-ea7f-41e2-ad92-2354498c1b6b","ObjectName":"Inlet","id":1,"Hidden":true,"Custom":"Auto-reflow","Exposed":"auto-reflow","Value":{"Bool":false},"Init":{"Bool":false},"Domain":{"Bool":null}}],"Outlets":[]}],"SmallViewRack":[{"Processes":[2,3,21,24,27,28,29,30,31,33,34,35,36,37,38,39],"Process":null,"Height":200.0,"Nodal":true}],"FullViewRack":[{"Process":0,"Nodal":true}],"DefaultDuration":10584000000,"MinDuration":10584000000,"MaxDuration":11113200000,"GuiDuration":11642400000,"Speed":1.0,"Rigidity":false,"MinNull":false,"MaxInf":true,"Signatures":[[0,[4,4]]],"StartState":0,"EndState":1,"StartDate":0,"HeightPercentage":0.0,"NodalSlotHeight":756.0,"QuantizationRate":-1.0,"Zoom":1289302.3255813953,"Center":581475348,"NodalCenter":[-1500.333071872202,-229.89060075569245],"NodalScale":0.9073398850434872,"ViewMode":1,"SmallViewShown":true,"HasSignature":true},"StartTimeNode":{"ObjectName":"Scenario::TimeSyncModel","id":0,"Metadata":{"ScriptingName":"Sync.start","Comment":"","Color":"Gray","Label":"","Touched":true},"Date":0,"Events":[0],"MusicalSync":-1.0,"AutoTrigger":false,"Start":true,"Active":false,"Expression":" { true == false } "},"EndTimeNode":{"ObjectName":"Scenario::TimeSyncModel","id":1,"Metadata":{"ScriptingName":"Sync.end","Comment":"","Color":"Gray","Label":"","Touched":true},"Date":10584000000,"Events":[1],"MusicalSync":-1.0,"AutoTrigger":false,"Start":false,"Active":true,"Expression":" { true == false } "},"StartEvent":{"ObjectName":"Scenario::EventModel","id":0,"Metadata":{"ScriptingName":"Event.start","Comment":"","Color":"Emphasis4","Label":"","Touched":true},"TimeNode":0,"States":[0],"Condition":"","Date":0,"Offset":0},"EndEvent":{"ObjectName":"Scenario::EventModel","id":1,"Metadata":{"ScriptingName":"Event.end","Comment":"","Color":"Emphasis4","Label":"","Touched":true},"TimeNode":1,"States":[1],"Condition":"","Date":10584000000,"Offset":0},"StartState":{"ObjectName":"Scenario::StateModel","id":0,"Metadata":{"ScriptingName":"State.start","Comment":"","Color":"Base1","Label":"","Touched":true},"Event":0,"PreviousConstraint":null,"NextConstraint":0,"HeightPercentage":0.0,"Messages":{"Name":"","Accessors":[],"Unit":"none","Previous":[],"Following":[],"User":null,"Priorities":[1,2,0]},"StateProcesses":[]},"EndState":{"ObjectName":"Scenario::StateModel","id":1,"Metadata":{"ScriptingName":"State.end","Comment":"","Color":"Base1","Label":"","Touched":true},"Event":1,"PreviousConstraint":0,"NextConstraint":null,"HeightPercentage":0.0,"Messages":{"Name":"","Accessors":[],"Unit":"none","Previous":[],"Following":[],"User":null,"Priorities":[1,2,0]},"StateProcesses":[]}},"Speed":1.0,"Cables":[{"ObjectName":"Process::Cable","id":28,"Type":0,"Source":[{"ObjectName":"Scenario::ScenarioDocumentModel","ObjectId":1},{"ObjectName":"Scenario::BaseScenario","ObjectId":0},{"ObjectName":"Scenario::IntervalModel","ObjectId":0},{"ObjectName":"MicroMapping","ObjectId":27},{"ObjectName":"Outlet","ObjectId":0}],"Sink":[{"ObjectName":"Scenario::ScenarioDocumentModel","ObjectId":1},{"ObjectName":"Scenario::BaseScenario","ObjectId":0},{"ObjectName":"Scenario::IntervalModel","ObjectId":0},{"ObjectName":"CSF","ObjectId":2},{"ObjectName":"Inlet","ObjectId":4}]},{"ObjectName":"Process::Cable","id":35,"Type":0,"Source":[{"ObjectName":"Scenario::ScenarioDocumentModel","ObjectId":1},{"ObjectName":"Scenario::BaseScenario","ObjectId":0},{"ObjectName":"Scenario::IntervalModel","ObjectId":0},{"ObjectName":"ValueFilter","ObjectId":31},{"ObjectName":"Outlet","ObjectId":0}],"Sink":[{"ObjectName":"Scenario::ScenarioDocumentModel","ObjectId":1},{"ObjectName":"Scenario::BaseScenario","ObjectId":0},{"ObjectName":"Scenario::IntervalModel","ObjectId":0},{"ObjectName":"ArrayMapping","ObjectId":30},{"ObjectName":"Inlet","ObjectId":0}]},{"ObjectName":"Process::Cable","id":34,"Type":0,"Source":[{"ObjectName":"Scenario::ScenarioDocumentModel","ObjectId":1},{"ObjectName":"Scenario::BaseScenario","ObjectId":0},{"ObjectName":"Scenario::IntervalModel","ObjectId":0},{"ObjectName":"pose_detector","ObjectId":28},{"ObjectName":"Outlet","ObjectId":2}],"Sink":[{"ObjectName":"Scenario::ScenarioDocumentModel","ObjectId":1},{"ObjectName":"Scenario::BaseScenario","ObjectId":0},{"ObjectName":"Scenario::IntervalModel","ObjectId":0},{"ObjectName":"ValueFilter","ObjectId":31},{"ObjectName":"Inlet","ObjectId":0}]},{"ObjectName":"Process::Cable","id":27,"Type":0,"Source":[{"ObjectName":"Scenario::ScenarioDocumentModel","ObjectId":1},{"ObjectName":"Scenario::BaseScenario","ObjectId":0},{"ObjectName":"Scenario::IntervalModel","ObjectId":0},{"ObjectName":"avnd_counter","ObjectId":21},{"ObjectName":"Outlet","ObjectId":0}],"Sink":[{"ObjectName":"Scenario::ScenarioDocumentModel","ObjectId":1},{"ObjectName":"Scenario::BaseScenario","ObjectId":0},{"ObjectName":"Scenario::IntervalModel","ObjectId":0},{"ObjectName":"MicroMapping","ObjectId":27},{"ObjectName":"Inlet","ObjectId":0}]},{"ObjectName":"Process::Cable","id":36,"Type":0,"Source":[{"ObjectName":"Scenario::ScenarioDocumentModel","ObjectId":1},{"ObjectName":"Scenario::BaseScenario","ObjectId":0},{"ObjectName":"Scenario::IntervalModel","ObjectId":0},{"ObjectName":"ArrayMapping","ObjectId":30},{"ObjectName":"Outlet","ObjectId":0}],"Sink":[{"ObjectName":"Scenario::ScenarioDocumentModel","ObjectId":1},{"ObjectName":"Scenario::BaseScenario","ObjectId":0},{"ObjectName":"Scenario::IntervalModel","ObjectId":0},{"ObjectName":"avnd_counter","ObjectId":21},{"ObjectName":"Inlet","ObjectId":0}]},{"ObjectName":"Process::Cable","id":37,"Type":0,"Source":[{"ObjectName":"Scenario::ScenarioDocumentModel","ObjectId":1},{"ObjectName":"Scenario::BaseScenario","ObjectId":0},{"ObjectName":"Scenario::IntervalModel","ObjectId":0},{"ObjectName":"pose_detector","ObjectId":28},{"ObjectName":"Outlet","ObjectId":0}],"Sink":[{"ObjectName":"Scenario::ScenarioDocumentModel","ObjectId":1},{"ObjectName":"Scenario::BaseScenario","ObjectId":0},{"ObjectName":"Scenario::IntervalModel","ObjectId":0},{"ObjectName":"gfxProcess","ObjectId":29},{"ObjectName":"Inlet","ObjectId":0}]},{"ObjectName":"Process::Cable","id":33,"Type":0,"Source":[{"ObjectName":"Scenario::ScenarioDocumentModel","ObjectId":1},{"ObjectName":"Scenario::BaseScenario","ObjectId":0},{"ObjectName":"Scenario::IntervalModel","ObjectId":0},{"ObjectName":"ArrayMapping","ObjectId":30},{"ObjectName":"Outlet","ObjectId":0}],"Sink":[{"ObjectName":"Scenario::ScenarioDocumentModel","ObjectId":1},{"ObjectName":"Scenario::BaseScenario","ObjectId":0},{"ObjectName":"Scenario::IntervalModel","ObjectId":0},{"ObjectName":"avnd_arraytobuffer","ObjectId":3},{"ObjectName":"Inlet","ObjectId":0}]},{"ObjectName":"Process::Cable","id":18,"Type":0,"Source":[{"ObjectName":"Scenario::ScenarioDocumentModel","ObjectId":1},{"ObjectName":"Scenario::BaseScenario","ObjectId":0},{"ObjectName":"Scenario::IntervalModel","ObjectId":0},{"ObjectName":"avnd_arraytobuffer","ObjectId":3},{"ObjectName":"Outlet","ObjectId":0}],"Sink":[{"ObjectName":"Scenario::ScenarioDocumentModel","ObjectId":1},{"ObjectName":"Scenario::BaseScenario","ObjectId":0},{"ObjectName":"Scenario::IntervalModel","ObjectId":0},{"ObjectName":"CSF","ObjectId":2},{"ObjectName":"Inlet","ObjectId":1}]},{"ObjectName":"Process::Cable","id":24,"Type":0,"Source":[{"ObjectName":"Scenario::ScenarioDocumentModel","ObjectId":1},{"ObjectName":"Scenario::BaseScenario","ObjectId":0},{"ObjectName":"Scenario::IntervalModel","ObjectId":0},{"ObjectName":"CSF","ObjectId":2},{"ObjectName":"Outlet","ObjectId":0}],"Sink":[{"ObjectName":"Scenario::ScenarioDocumentModel","ObjectId":1},{"ObjectName":"Scenario::BaseScenario","ObjectId":0},{"ObjectName":"Scenario::IntervalModel","ObjectId":0},{"ObjectName":"gfxProcess","ObjectId":24},{"ObjectName":"Inlet","ObjectId":1000}]},{"ObjectName":"Process::Cable","id":38,"Type":0,"Source":[{"ObjectName":"Scenario::ScenarioDocumentModel","ObjectId":1},{"ObjectName":"Scenario::BaseScenario","ObjectId":0},{"ObjectName":"Scenario::IntervalModel","ObjectId":0},{"ObjectName":"gfxProcess","ObjectId":24},{"ObjectName":"Outlet","ObjectId":1000}],"Sink":[{"ObjectName":"Scenario::ScenarioDocumentModel","ObjectId":1},{"ObjectName":"Scenario::BaseScenario","ObjectId":0},{"ObjectName":"Scenario::IntervalModel","ObjectId":0},{"ObjectName":"gfxProcess","ObjectId":29},{"ObjectName":"Inlet","ObjectId":1}]},{"ObjectName":"Process::Cable","id":39,"Type":0,"Source":[{"ObjectName":"Scenario::ScenarioDocumentModel","ObjectId":1},{"ObjectName":"Scenario::BaseScenario","ObjectId":0},{"ObjectName":"Scenario::IntervalModel","ObjectId":0},{"ObjectName":"pose_detector","ObjectId":28},{"ObjectName":"Outlet","ObjectId":2}],"Sink":[{"ObjectName":"Scenario::ScenarioDocumentModel","ObjectId":1},{"ObjectName":"Scenario::BaseScenario","ObjectId":0},{"ObjectName":"Scenario::IntervalModel","ObjectId":0},{"ObjectName":"point2d_view","ObjectId":33},{"ObjectName":"Inlet","ObjectId":0}]}],"BusIntervals":[]},"Plugins":[{"uuid":"1f923578-08c3-49be-9ba9-69c144ee2e32","Refresh":false,"Reconnect":false,"MidiRatio":1.0},{"uuid":"6e610e1f-9de2-4c36-90dd-0ef570002a21","RootNode":{},"Children":[{"Device":{"Name":"Window","Protocol":"5a181207-7d40-4ad8-814e-879fcdf8cc31","Mode":1,"Outputs":[],"InputWidth":1920,"InputHeight":1080,"SwapchainFlag":0,"SwapchainFormat":0},"Children":[{"Address":{"ioType":"<->","ClipMode":"Free","RepetitionFilter":false,"Value":{"Vec2f":[1261.0,954.0]},"Domain":{},"Name":"size"}},{"Address":{"ioType":"<->","ClipMode":"Free","RepetitionFilter":false,"Value":{"Vec2f":[0.0,0.0]},"Domain":{},"Name":"rendersize"}},{"Address":{"ClipMode":"Free","RepetitionFilter":false,"Value":{},"Domain":{},"Name":"cursor"},"Children":[{"Address":{"ioType":"<->","ClipMode":"Free","RepetitionFilter":false,"Value":{"Vec2f":[0.0,0.0]},"Domain":{"Float":{"Min":0.0,"Max":1.0}},"Name":"scaled"}},{"Address":{"ioType":"<->","ClipMode":"Free","RepetitionFilter":false,"Value":{"Vec2f":[431.0,328.0]},"Domain":{"Vec2f":{"Min":[0.0,0.0],"Max":[1261.0,983.0],"Values":[[],[]]}},"Name":"absolute"}}]},{"Address":{"ClipMode":"Free","RepetitionFilter":false,"Value":{},"Domain":{},"Name":"tablet"},"Children":[{"Address":{"ioType":"<->","ClipMode":"Free","RepetitionFilter":false,"Value":{"Vec2f":[0.0,0.0]},"Domain":{"Float":{"Min":0.0,"Max":1.0}},"Name":"scaled"}},{"Address":{"ioType":"<->","ClipMode":"Free","RepetitionFilter":false,"Value":{"Vec2f":[0.0,0.0]},"Domain":{"Vec2f":{"Min":[0.0,0.0],"Max":[1261.0,983.0],"Values":[[],[]]}},"Name":"absolute"}},{"Address":{"ioType":"<->","ClipMode":"Free","RepetitionFilter":false,"Value":{"Int":0},"Domain":{},"Name":"z"}},{"Address":{"ioType":"<->","ClipMode":"Free","RepetitionFilter":false,"Value":{"Float":0.0},"Domain":{},"Name":"pressure"}},{"Address":{"ioType":"<->","ClipMode":"Free","RepetitionFilter":false,"Value":{"Float":0.0},"Domain":{"Float":{"Min":-1.0,"Max":1.0}},"Name":"tangential"}},{"Address":{"ioType":"<->","ClipMode":"Free","Unit":"angle.degree","RepetitionFilter":false,"Value":{"Float":0.0},"Domain":{"Float":{"Min":-180.0,"Max":180.0}},"Name":"rotation"}},{"Address":{"ioType":"<->","ClipMode":"Free","Unit":"angle.degree","RepetitionFilter":false,"Value":{"Float":0.0},"Domain":{"Float":{"Min":-60.0,"Max":60.0}},"Name":"tilt_x"}},{"Address":{"ioType":"<->","ClipMode":"Free","Unit":"angle.degree","RepetitionFilter":false,"Value":{"Float":0.0},"Domain":{"Float":{"Min":-60.0,"Max":60.0}},"Name":"tilt_y"}}]},{"Address":{"ClipMode":"Free","RepetitionFilter":false,"Value":{},"Domain":{},"Name":"key"},"Children":[{"Address":{"ClipMode":"Free","RepetitionFilter":false,"Value":{},"Domain":{},"Name":"press"},"Children":[{"Address":{"ioType":"<->","ClipMode":"Free","RepetitionFilter":false,"Value":{"Int":0},"Domain":{},"Name":"code"}},{"Address":{"ioType":"<->","ClipMode":"Free","RepetitionFilter":false,"Value":{"String":""},"Domain":{},"Name":"text"}}]},{"Address":{"ClipMode":"Free","RepetitionFilter":false,"Value":{},"Domain":{},"Name":"release"},"Children":[{"Address":{"ioType":"<->","ClipMode":"Free","RepetitionFilter":false,"Value":{"Int":0},"Domain":{},"Name":"code"}},{"Address":{"ioType":"<->","ClipMode":"Free","RepetitionFilter":false,"Value":{"String":""},"Domain":{},"Name":"text"}}]}]}]},{"Device":{"Name":"Camera","Protocol":"d615690b-f2e2-447b-b70e-a800552db69c","Input":"default","Device":"default","Size":[-1,-1],"FPS":0.0,"Codec":0,"PixelFormat":-1,"ColorRange":0,"Custom":false}}]},{"uuid":"05e72689-e02c-4c9d-a0bf-fe84c32d3d96","Data":""},{"uuid":"aac1402f-6851-4a1a-ab50-5f213acd1262","Name":"","Author":"","Description":"","Url":"","Platforms":"","Created":"","LastSaved":"2026-10-05T20:58:59.621Z","Thumbnail":"iVBORw0KGgoAAAANSUhEUgAAAeAAAAEsCAIAAACUnPcNAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAgAElEQVR4nJS92ZZkSXIcaOtd3CMis7IajQYPQBI8fJmH+cR54yfybQ7nDMEGGt1VuUSEu9/FtjkiqnbdM7sb4AQS2VkRHr7ca6YmKioqav+v//bfmmnN+NZaKWbfy+X2er2+v399fX9/e31//fzl18u317TeWmveeOfc83w6T6dxnJ5Oz34ch3kc5uDHEGOMIQzDYK31zhljnXfNmH3fS6kl5X3f13W9Xq9ff339+vXrtq7rdi2ltNZqrYZfzuJPrS2E4JyfxvE//O43/+nv//a3v/37l48/z8/np5cP4zi5EJx31lhjTDXNWuesa8ZWa01rDs+EJ7TG4AfW8YHGWeu9/tviyztr8S/8yPE9m8pv4Pt4jCu1XJZ2WdIv71/eLl++/es//4//919+/3//j2+//GFbb3gRefetZdPkI8jrWoP/lr/vP/jf+OK70185nufxp/x0+ArGeGNGY56j+ZuT+ccP5m9fzG+fzafZfDiZn2fzMpiTNydnBmcmb3zAtQ3W2GasxfM0XnB5Gf3fxld0xvLHzeuD8W9+klKNTcZkU4ppBX/nir9TM0sxWzaJ39mKWZNZs9mL2ZrZjMnWlIAnzB7Pj8dnc9nMZbffbmbbW04m7Xj+VvkAY1LFr6dqlmSuGc+fqtlwzU3mDbYO7wr3UC6UNQ630TlnravRR2fwH9GHj5+e/+Ef/+H/+D//y3/4D3//86f//OHj6en5NE/Pxvq9lLRtaduv6/rl9cuf/vCnX3758uuvv759+3Z5+5ZL9s5NY5ynYYhj8CHG8NNvTs8fRtz3WvdSc863df/jP1+//vI57fs0DOMczz999EPwYTB8h69vb59//bxcbi0X0xoWpcM2Cd776EPwznuuPI9bW+q27duac64NV75ZaxtugHHO1Frk13GvsFyawxrmksVDLP/mMuHaxjXwruBxjv9hPC8VX0xWOl7ieDiXLPaBM6a0aqwppuJN+oir3RpfqDnva6v4sTEV98y4Fip/ir3lrPd+muZpmix3NF6YX+uy1tpSztbaUnLJuRl8zFRyraW1kkvh9rTGGO/dPA+ffgp/85vh55+fPjw9zdMwTTHGIXgnsSLVklurxlVcK5+xHU1t3trArWyja961EI1c4+hdxPWTz4GrW6vLxZRaMz5Sy8UlrqzaajMVAYQ7AH9bG0Pw3kTbRudcc9Z4PhLXKjeXS0zFMqqlWvdmC1dnxcvgEiMq4No6NzjjTIv8pLU0Y/x//+//T2svMcZjv4fgNDhm3DOLO8J1Z1qxWHh7TltOmzMuIAgP52n++PKb5+fzdD7FcRrP0zAPIUTnA+LmEBxiMgK53Gpe8ZZzTinh6fZ8Xp+fPn58/vbx7dvb5fXb9f1t27acc+Fd4btBvJVI1ZrJW95qveU01TLhjhb+nDFUbqEGFqxkrktvTMFnx+eRD4V/IiQ5fpNrnZel4UIxfFvcA8QkPIzPrM/fXGmVj3Yp12QsFnorpuK2VYM3W40p30dn+ToC9J+H4H8jZB+h+fEZrHyq7x9Z+c3gTPRmCGaIZhrNMJhxMtNgxoi4PFj8iQ2P9Lhysjp0uWG16NXppwGWAC4ELijfAfebvh6ub8WPKjYql7C8FYcfYXtYUxqC787Yumf82Rqi88IfFUZz6xFhS0O4ccH5aHy1tRQcsnzOwvNa7ivuqDOeR0uS1+tnjBwn+j05g/Gmq7HeWs9IjhtXjV228vnr+//6X3+coz9Nn05PsZlqvStcIBUbyO97frtcv72/fvv27XK5pC3xsuFjpmJsyrka5/ahuPptS2aKnj/l+nHOxCGGOFXsy9J2t395CzF65621ueTbuu5rxsmDHVe87nns6ppqqcXiw3tAGi7ynGrCypPIyXOUAQ7XHIu/LxXcBUEUvCQMa7VWXT8Iws5YiwPB2FIqXsS4YmyQe45AYYMLztrSgIqahMhaJcK5VnPNwbkhxDhOIQQsyGo88dGednzY1nheBNcCLoUxIQbjDWPCKQQfYzDGxCHgeVv7+RPfpvO3ba21rOutlLxt+2257dueUwueaMDg9luDEExwVRGaTK1YOwNWDi6/dcGH4kwxGUvQJvwOtmTjGhBAg5+YWhqgAVcUwhN/yKjREHYEhjicPzhqLJZSw8pgMMUJhLNJLrnEGp+rjTznji1rm/W4PHiyYiyiN+Jytc71T4Q3YPDevbPN62Ot9xZLwHp92BGg+0mFUGRsbiYBF9ViWm212JJNLr61GIdxGD+en55Pz6fnn+bn0zAhOp+ez8An4RR8IHJx1lesB8KtZpprHrHMA9cQFGfAUhterHMxhiHEIVze3tdlSSnhZOA14GrjcjOt1LpvCRAcxxtWA8Molp0E3yOQ8V/8HPxEPCErH8V3IteRn58LWrFjXwaMW7i5fZ3z8QACrqNHLGKTUwa+wB2WN4jFbxm8jrj7GGT/Wjj+d79/BPrHz/gYuAUmRYvoHIMJ/DtGRueBUdub0AC0R4dTXsIutjmDLF6C+Acf9Hivstj042oElIDIpczVx1+3FUsYgRQXF6gZUYGRGoCaaHpN5pbMWhGgMxYCnqHwManH8WZKCB6IQ3EHjwGgTGKHijgu+RXxkQZiuRSy9yR+IRLxXvDiWGuD/C+2dWv7nr5+fZ+nacTpOqZ2q+7vWnDexwrcVNa0XPavl8vb+9fXL7/+uixr2vZckBdVQtJSqnP48DG0bfPptoTgrQsI7sZte337tmxpT7nWWlwxLlVrdgI1LJK95JR4jiPBw5vkkWZbda1Vx0/IJcRb0oxklvhQEqSxXpkyYokqSJbLwZdA4iCYQtIcOX/54vrFOIP7xthqY/Cn+XQ+TeM4xjg7F8Y4INlFxFxaq9u61pQyQrC3zs7n08effxOCCzFa42KM/GBm2/HljQ0hjAMxpa2BX94HbFSP6B2ReIRaSm3Icr333vktpffrbdvWdc/vb2/hLbx9fW+54XCQg9owjNSWU251yMDbqTUi91YIEpjB8hYY6wCCGR1kM1vbcN45RCTD84mAzRJfILI4zzMPF59pNGIfng+IogVnibcVa7vamlxA2faMVAj1sl/kMfg/3qRqbak4t61VOAyITETPOI847mz1RD0agXludCrhIUA7B4jOdWBqYYBupVWc4lg61sZhmOL04en5w8uH8/nl+elpfjpN53MYop9GF6K1gREY/0+c1KzD5+QywntF8AYCTeQSHEBHxYLNp9m0Iinp9XbLKWmyxf2H7Q9skS2SjoxUMu28YdjoFnm4RmmhLQrSKMIhARQa6iXMKtzWIChr/fgx3pbndxA8CKJl/eOrB2g8MOfiXChMSIQX4K2Wy8t/Smj7s/D6Q6j9d7+OgHl81e/5DYRmYwZgCfwZPaLzEBCavUTqgLg8GUXQWKlyXRklebkYsvkdHjdyZTReY3F2BC2vjqvO6CzkBuIy8QzXjoZv+Qd4j2RSMstuLjupCWuqNy7inKhekCMCtCBx30rETkZQxRHIBLpVz21Va9EYLdEZoKTj6yPFkNO4MXjJB9B7L/mNxXtqt+Vf//R5S+VSxs+vt999vXz67echDi74ktJ2vf367fM//f7LH37/y+31dV9XBAFdQlxjAFe4uzG6dXXLZY/etYozrvkh5bKuKaWdGZ4xOVnAHS53x0PCNEQnY4ColY0AcACYAaiWpYjXFEisjAPBsTHNgwUJSNoq8ygeZLh0CCN+HAYwJJL/FDIvco14ODFyy8VwgHghWOfmefr5b55fPp7P56dxfJrG0zhMJed1XddlWZellrYt63a7LvtmrJ2fzi8/vZxOo2zz0+kcwxhDLHy96A3hFz5tqQBVBxLkkYnzvdaats0aMBMB8R1R3jq3DfGc22kYn4Yp1tOX+hVsK07NxEwXdyGlmvE6OLd4YJVWbS5YrFiVxSUSpcLvBB50jmuWCdKB9oRpkZyJ95IMDY92wS4u1IpQhvPBVQA3ABuSM7bTIZpUcovwVJRdw4WJ49TUIdiMC18J/DW4N9x5vDXZJUJX4BUYRRDsHdHh918BOJxXEec+P2QrCbRG2XlyleB9PD+d5/Pz+en5+fl0wl/n8zme5jBGGzyOIXxojzd8Z7IAXXv+67HsrPEuIslobQw+Rz8Gn4KvMeQhDtO4J9A+SCM1NmG78dAwruI2YHGRgAOmwfPxjOTlYZIlQRfflGzlCMgdQvR/KMXcl2zn7hRWdyZPPgIPmsJXwJoBOCmbIDqLjYeVV47FKGf6/0/S+Ycvfe2/FKaZqd2pCInXweHP4MFpeAdAHawJzkbfvEME90z89Ul4hCBaEAILayHxnpCDEbCZQuq5/8YdOyO5YqysCKLK7IB9O8J3wY8SsfOSQDG/b+Y9I+a6YEIGlWaC8QNgKchrBndXDdhp25w3xdotmWpwphvrwNgilQRhLQcAKab7saEHbL/Z/PnDYcz/xbecLa2+X28pl7zl69v769fLyx8+nU4Trklu+5q+vL796y9f317ftuViyl4LFoBUJiTHFji370gIg8WyBh5otvqhgI7nUVKroF5ZaOAKMrEcFrTHYmJAkKfFLzPwH4vQWUl6dV2SoXDe+2EYhmkEDASFDRbDWZtq8t69/PT06ePL8/NTbQDiAL37nku73q63y7WWOoZ5ClOIwUbs1Jxz8CGM/vw8T6cpDDNAdXQh+nGMp9OplJwrNn7K+L/1tu77HofhNONaWZAVcZ5PMYygp3M2xvrQggfQRn5MuI9FUnIF4MUGya1Ya4ZxcsYNwyCErHX+ydmneaq1LsswDcMwTvOzv92WdctbSmnZak5I6EvIwGkOVxtHVMERzuMTZ5GmE7hfJFks1jzzbO8jwfhBmgpCbDgkgtcwhV1OAtu02JCHNQvKV6gj0FyAmo38AyixI9zjJYCiyUtYxzQIAQS4lqiBYULenGdSAHyP4EWgJfCX+REeSBrvx6+ArWEVqtZa9lTWPWfWKNa07jXL4jidpvMJhP/5NE+nU5yncZz8BACOMKBJMA9uJALy4SywLuAWkjpkJTXnknj3cdEjcJ9LxNcgqgZfqrPgIoWXILNOBg0nBz8rID2JY42u4HhIsTMx1F0pMIrskYRpeYx++p4fCkbuWJdJie4a3jPZkcZkQDlrWx5dc4geLpdNEitlB4WQkTRU0nPB0T2k/rVgfdAU/zYfLevqiNcHNkdoZnRGFHYmkon23gQPyOwR71hxdQZcrJAA/C3mgCSaiUxRW5HAzRNWaI0o74ohW98JITMgTMYfCfGCoLMlFi6mZaDmtPPPZtbVLIu5sr63GeMzSHDU/rwZhYYmN60QmMGXFbAWAt4yAKGzBb/UBlvn0FJFkVB4FfLLQsxh92Gb4J1zP3lJhmQTSAWNC6JW1+xe96/19Xpbf/38bZr/ZRxHSf5yrm+37QqqbWslW6lTSVVU1qKcVARANZfsKjhjInRTAOAUHZB05i5HgEC2LmUP0zxOdHK+MeB1yV5jy+C1HInQAnpal56sEFABY4jDNHz49IEBEJSBJweyrCAGP358+fTTpyG6OIQ4n2McQTusads2kNFgM8BPDmMcgFuxfXhIbc204APAbqeNwEI062OYogu4inbf9tP5XHIim+3lCA8hTNMIBqOZGoDtBO9AFNATATnWa8OJkoBsmP8b4/ESpMhZ6PQ+4lwzLcQ4nVs1OZUpDLZelnTB0sRCaybXtiazCy7F/wtjg6q/QSkwCjMQwB1r4BPGVco38qaE9vEOggiekXgPslWF4SXWY6CXAMPwIReHOTrx8z1w4Jv8pNhn+iyC+/C4e9EV+5eBXY8KJEytWqIbZREBsYH/JO95DNCaWTELAQTICKL7DpxB9QUDdIzjSM55HOM8hnn0Y3RMaOTMlHAoggiLBAdZWCXcAuuEKI0y4balddtaM9tyyzsZZzyAfEVPBo/qLcK61riD8yF6j/QQdQEUTJmD6wtKUgu83fUZQlPIZeRb1OeVVXHEOk375AbgkeSqpEh4hEis3sBi544je98RQlgY6aFZlCNSou1p/l+PuT/E33/j63gTjzj6zrbL/fNmDGaKZo5gOSZvRkvGw9loWyRNIaKWAwvf0TTwmAboOyp3fDyxurC5oCykWsvQjCJFVhyNH7FkI/+ZGZrXxWy72VZzW8xtQ4C+UOMRIuCAj3jmbFElQfFeCrF8/loBIZj022yxpzeURGrlYvek+4S7xT+I/QmNkY9W7ElJAfq+6JTNI3HPZdlyLsbsqaR1XZUbUSrTpQySVK6V/66mwK2Lf+MC9RCjVxEPZv05OD+Oo22oChKrSJDiWkEUswEnaPzw4enn3/z08vwyT6da6nLdbDOX9fb+ftm2G9Jw65HPGvf89BxjhGhhCM8fnr1z4ziO04jLUwuqavs+zKcPzx+MacMYhmmEhCTn+pStc8MAJoEMJAI97ibfzbqvbnWQT+CyF7AJexrClID5kDV4xE6c6TEMSGG7kEfKP4zUJAq4g0EHA9xaU7Fjc0aOW2pL+87CUt7ymvFxWEt0KIwFPLkrFMDkDNYZqpV929bt/f09pbys+GVRdVhTc3alOIB1HM5a5GcBlkV+HGQV9S+EOgOiAgdC0JK45IU8WSVH4SYwzoM9uS8N6hoIfnGhWCjpdJnwJOSgiX81wGAZsr6laTMPaQ01Ry2NKi9BdMqaCmchMYQSHV3/whx+/xUIWrJmb+AlLQBuKRuyJGgVfIjDyMOXf0A0sRworDW3TCcChYPlCxOM72C8S932fd2XlPeU6uWyrOta0lah6chp21EALFk+A5YFoQSRv6TfGrZBvpPDQNFOEkZAXbmGgAUkvvsqQoiRHBO/3plbLbMekgUR4PVDgZGbEAhPyOcjtnCVeX0qiAYtN9DhLLgeMRqv3yHuI4n0v6nf+Gs4+jEQH9Sz5PUSUqX6N0dzGsxpNKdoZk9iGqlJAystJXWsuK50kX9wHUiww7NJ/ZAYGVcgKjUsbwvSC/A4piRTdvyR0Cx/oMpgTScXxOUlmWUz19W8L+Z1JcWRzHtB0J+aaZFHpgG+Lo7CO8fiCRefFFCwsVvbq11L3SHXKzuuvxOGA1qOwJeTygx5mi6j7MSuUIsgxARk8cg9WF3mZAR9NkMw2JUPuBql58HHPkN4k/SIC0mLdQYQFliKGRyiH0iDAN0jON15zpVFU2dyztfbAows6W6tIY6fPj5//PhyPj8/P71Mw3A+n6wx656+fft2u66ltDGOgqPn89kNfj5PpBFRZo9xEI5nWa/7vtdShjjwQwHQzNBZUKChKR7ePMhrj6SEnwhhMbQSSmR+S0IXhOYe7IoFjwjqET894X/HdK3ZUvNG1cYwxTXv1qJCSETCw6gUhWSmJZBSJkHkkbZtTWWjQAtCXu+HmnkNwRnWYltKqRm7bSv4zVwgxYV6DEixICzUIDudOV9LwjFIHgimAkc9A6hoDfHOWVJCjkaIrIIDqiYEBkuGrstF8907IyrgmHIgqsD0COYv9yCisgGVzPHYZ2IvQFvFBlJOEFUcck0NxYLSIZPDJcBSRKGYSjGhgr8L0EgJIU6oDqePMT46PzgbfEAiIFpmAaHNuRqsA40lghPclgoWVkGLBCzq5RqqDOsNNe11kzh8W66l5H1F+gUsnTJ5ldKoqMoZ/ykXQDITYwGZWfcMzThJq4G4REJwLySyLi7xlhdKoq2UkR6pyA6ie/6rYVhJqAdWA4cMQRq1OWD+Wb1yAfQ4ElG9pbygKr6R2yzPDg7uz6LtXwvZAtMOOd0hS7Dfh+PHAC3xWtCuENDU7CgBPZHiiAYIGqpnRmcE6OPZ+ynNy4XojBqx1DargVCKpLAsFX3DArRJYuCckmcQwTL/1IzzP++I0bfVvC6gnq+bedshtsN1q4jFYK5FvgSu2WTGaEFFhvohgFNDKqOZDQHargksdOXJiFBOOYqQIdimCnYRJb+T9GhVTBeBqHJlLRNMYm2zqMWFJkJUrRohzCFGgXrkzheSkBcCuJF8CO85Vw5F1s65D09Pzx8/OI9eALQEjJRRWbus676tYwin09n7YV3XWut0nl9+erHWQ9I7jvM8e+fOxnz8+BGFDmwKxEgKpb0U5Xzo71ySdFOn83i9rS1llkeAh5xpuag+WvlrqP4B9Vqv0BwnayuIqCmlNWGbhhqqvQ0N9HSt9aqHgd9zSQlbGlrv67ZuqMcM0XlXg3cAy8hIUsYyaCUlSJtR08vVBSCvXLd1KXtq0FCiUmtdhOCzVEtFFsUIO7FtqxmEtXwVZP1VAqQ1HjQ9VkZxdWCBWTaN1P6FVpEgSt0E9rIqIFUrSxUE67w8yZDnE6op4cxorKuFOnQ9k+Q7uvkIj/V7UDerxDGojounBgVNoOsONa9AZAnUvPLYP/hoikuEJCGo1yP1+wDNo6zK+kYgwBNClkLVJY8ni+SSFUu7tzoKgZlz82wnUOhJfNBMQS173bb8frumfVuWdb0t+23ZiJoBpZdbqQVlqALxBu4TWQgUZyUrUBJLdpmLWIuoCOSUy55bKR3RiHyfMkkI8CkeU61Sl8p32ksVRj3lFRzBYq5wZ1onvIf0x7jOZVCB7EjzN1vKjoukemkWp5lfA4x2pYQWr/49yfNj9e+HOC4AOT087FF+JyEbYbpncCogYSzGnwqBkdDQ/ZN990Kyntjb0yV3D99XuYjQ1kTHvATMH4WzbqCDEbgzK4fJbMTOl9182/DnbQW5sSTSFHLIJDxVMlD+eRYLN0o7JOBTUoLlj83X7N4ael5alUYVa4CmWZHTErh+GMkauXHuohztk8Cuk28GH57PZ9vsMIAfeHl5Cn64XpZtyzGG+TTmhjiVc7YQacSn8zmEYdl2QWBQHzU7iATY1vPT0whhL0DRaZ7n0zPIhPP49PIco5/nIQDlgJ8TcR7PICIN67dtrznHgLJ4iAMYZ2efnp5ijDjmSibjgDIYio2CIrjKQgSlSHpHRTaumRhAReYMCJx2UvptpEgNXGUYYhgG2Rmo0sgTl7bt5fXytu/Lum2FTTorxBVgacYBbTW11BBGGwZUPMFC1D0laDOSgfQwJW/bgJhZEOicxaFCdaHJBQcpKCDgQ5y+gI3g7HGeygKVTEIFm6zyIbRr+q+nBwGzldKZPIRf/AWcRmD8Uc0DLEV4Ulwl/wBYZtTFEXnsah5ODaVqaao56CkeZ4ySP+xBgS0snykmFM10hyeUWjNTr6ZlhP5OI/LwxvnMFISa4Hu41ycWsht9LqAQyfMBW9+Pih6gcboG5JrUKttWPTIcYEbvB2v3WmwtJqWyp+zDfrtdGbzxkvgNlG5xGaAGYRi9Xa8rlI3r+/v77bbcrtfttuzoHaJwL0OHhNIK9S4goMlLiQL64eAS3aaPIZ6maYxxCjEyInWpNMhrsNDQkON46jSFBmdP/UVXQ4t0Xde6Mt2dUDtik+TDvIr3Rg2P1VF2ZCDAJywIJeZ0pXOX9dClHro0VeXwH/nfjM4/dAn+8KODmvlBWK0v0aUX0DZU7ejbk0kRsa8E5oFBdLfK84o2DnBYILPKcflywhN0pYj8m5UxHBUiDkLtTiTPDLJA0xRmIEBvYJwvO0Iz1HUZf9AEWBGjW0UUHkRQzDwDccuyTsi8iGGF6gQW/VNpG5lrKqv4/vmujpxStJjI61TFfchmsTNEECylQe/Cz5/O//B3P43DOQznDz99ms/np6cP67Yvy4oa2uDXfdm2FJ0JAT09kQsbBawhDgEEAsszOUbAZSp6wTWDrwhA1SJUiAN628gOiFjWZJa7ISbTDW+HuK/LQvLUlAJomowZ0u4Crr5gLARr9ItUACVgZ4R2lXQyTomUFdV0VCuBcG/L8na71lberzcwsQ7MUfOB6SIiGX8X0XbfoG69bum6LWldKiL7Lgt7GtDUJnKFPRuAeI/3AWgLyrsVMBa7FIe45xiJIJoEXGEN1vgqmTeOfuRMeIfJOSFXyeWKLkvwLr/N3UTFoRYMmB6LOrhp4a2xT6iUuJc6tpCrT8VH9MtQ6axq/d4xjPdTpGf2EZA6R1GNii+6yPqoV/Ggl5XFfgv5VRRNO++FTyl17N5OIUeIBHGNXb15ip0vHUpw62QhzticSAEkY57w0Dj58bR/oUgorCC5f1QSRJbNp/LoCEVhtVSX8u224EworeLahALBIG6O8m/DAKaCMAT149sNf663/XbDPlhXY1yCzFm6Q/GKVc91BN1ejtOKjoRopHh4dnQiDUOMIULd1MnBA+oe+Fd7to//PJoavssaJC7L6S2ZnwZ14bD6gwDBKKqXFmLtK8Dpy1itCw0PkIvdY6v0dPRIWv96UH5EgY9Q+vjPA4b/tX4WOdOluUoUDrmyN2QDHYFUbQTzAFREeQa+Q7wsnQCysiVka6Wsv55EQ0Ul2jnB+CgkScew8uo4G4D8tDkFmJe0RmKPiZxPWJ6SdsqJRQAEKlkeoH0XpDxRdaw4AzUL1NthkRITzDwQ/YfM8r5s+kXszaJoZz4/xU+/Ob18+DifP07zTwYahNNU67SunurdPc21tKd5nE+z9yMIZPQSuBBDa22aJmc9u2EzE/+AlehchtgZ8Rf6/IylAmobtSdeUERKqXNgYymBOULyTLkzZZvooK3juJFu8cC4TFWUVZdGB3IufDiFWrWutbzt2y1t+bLmDZWeXz//erndqjXRA1TX2iZA8uBjqC0hUOGioeEroTO9oq0RJTxQ2LjmKNPVlbSG8JbNhIpFg7eKJkPku0Ao7KmGxu9oq+NiaAcRxOqQxB3iXhwUqWqdWtWEcqO5v6idPbRonf8nh9uXIzUVeDapSEpndjmKb9BiHDhGC/UCvfui+pHrRIBW0bRAPfkHsat8IpY9jxOiN0ULX42WU+1aFnimYIEhoJ8UvcWTMicSobyxR+bQoMxnzyLRvJLxQuD/GKD5RVcA5x3a7REToSVHlxSaCwtYi1pTTj5t+xCHiwegSDlDMBTCEOfxdAoTGr5bKZNtVY4AACAASURBVKj6gWXeSwLfD8p/hY5S5EndVYAaJjmCuwj0YLGPa0oaQpIEdoahn1zXq8qNVJihN0j26v3QJF8jfhIPT6srpHcb3iUM3UVAQLY+uXIn/Fkrbd9RGwFEcQ5yQIjZpXVLn19g5vH144Eo6rEOq38gQI5F+hivf6BBHrlpFnW7FUYGdr5tZm5maLixaTNvFqz0PKKEOEVzDrjfNlN4RxuNWijE732D95ch+S6NRluXUaOICAjBaFvRBJipq1t3c9uhpbtlmm+Iro488t7fp7xhaDmE0OB3diOdhHpfhIbbq9LNotWWDQQ4RupOW2a6nJHbSF6BkkKNg9wZUFKxc8Jofhain07D+fk5DKdhmOA9gPI40MLkZ7i0WBPHcR7nEX4ypMo9GD6GpDq7CfXvir5HQVrODwVdsm6Ms6d+X5usoHhB9ayTLTjNmZVqj0RKCUxZAflHn4NtWSd54y4EFOKtA3MB6UtEF7AHfsxQmZm8b2+367KtSyqXy1ogD87r5XKFxDsBxkAymNljEcIwwktESEPkAGiIzhurb61kXmbIYNCCzU4Du1OHJVuKdU7yq8DH0DEr1UB7Cn+UIbFJtaZmC2gvRSaMWVANMqhK6BO+sefB0m4jya6AV90SWtQxWvtlWEOUQ82roJSrmPW+O3oJr3+HsFfr+Eqq9EZtrBrk7gqDQZoIjy/PhDJ1Rh2TDStQt/GoFakW9wy+JxQHPojUnHC2YqV1ZRsXNFTbBRQQrhz7lMRPRarr6LOG3tpQMYHPBvpo+D5AUzuCI0W0jMzQpJQyAAt4n6myqNWFHNKevHNpTwU9gbjtwfuXjz+lUuc6l5CxkXAcNCRmHkiDEVg6o4Qq1Oukrg+8T11rccRVPAyN9HgfsEVCFSxE1icpxhThoSh9VeUqums9c7VkL4VDbTPT8CPhXe6N7BncWixNqTLxsrEo2hWN6CO1aMoE/S2VVgHMsiL46xLa7/zGD8H3ESwf0ubjz6GV/vP+w79YbFSKA2Vp0XL27pVGtkG5P0TeVmGFcaWCJ3gzTeZ5RBXxyZgTlRvoSO7Y4ADIUNSR/kbjP+PsKqCYTDTufKEaOpm8IkBvJDTedvOayGwU81bAbEijYL5vOtV7SBMjXLTkp/yQ4nkhG1XAE5pftHURW4qNz3J3v7syB3wmWUUXId4myZiJdNCHnXYsS6aIuNHAIxCOpsLCJcScQ2BEhguPMEcs0DHISycDCemSlGVhdEEdBb0MpBq4ldCKAi0KlwV8OdJG+ZF0zQFbb2nPCSqpP17eX99e03L1to0+WK+GDwyyo3zSaZo82A+7pcxw1/b19vrly4o29Hbd9lobWGGQFeCK8GLkc+UKVLYOsLKlJBeb+yW2oteIRmMSybrgy6Iyw2h1LGqq5CHq0Mep7ozUrVZju5Za03XGIGw+6aMTLoC3q9ZKizLKcHl/tY1PV4LGCo335qjAQ5ieC0KnQXssfTdkxSBRQ1GOK1rqwwL8cGfxTiHfYKaH/AsMhalAV0pwCGKmdlY6L6XPHvfcMzZahkYGZMfKJksEeP+lJvxPLcahgk7admApl8VZXB+HNn4UZJmZEGWLjxx79pttHq2nuVmIWFtN6V6jlACtV5fyb1pn4Ukgq8YHRR2wFJhOsZOdy5HqGQrjENWwmC4XF4ZhBKBB56mzYRhxdOAz7K0m6xw8UIAIRHFynMN/Nfqo3gJqEg3KQhBRLNM7OcX35aFF+Tg/u7QWur1+CIvM8b4IHtoLcdhKNsyyofokSYIp54izhTQazED4/jVcaJ1DzxXlAcD6i3ztz8L0cTL9QDc/fva/aLH0+ItavuMxhXqgBSxFwzdJ3gBJKH8kYgwW8fJuLmzIys48B/O7yXwI5mkwc2CIh8JR0lnsLXRpO7MYyOOWBaW/9x2NfBtUl/hpI0z2Ta3mQkN03ird6Yr5Vs3SzK3gnBAEDcTNzxCAxPB+pDCOY0BrQlhqXQjH8oEIrNgOngTzdNwtAbIXhdhiJDdUZHBaFCano0lGXZZ8W3La677n+cSQ5DyawnDrsdmUcleEIzyvAiHHrB/QFbC0pQIgeyzgUuswjIiSIAx2uVn7ni+3m0CTkrL37sPT89P55IZITrZsOV3X9XJdv35+vb5+oRUU0BqCl3cxDgVSYuPHuTUzTTMOM1Q+sqv1+na5XSGIIknCD9i0vkNspdGJzIpDdtUhKHs4RJymPoCiPKgEQ3LtD65JCUAXGA9Y5yBSZBceu6X5tNhfWhu7L2Rh+MQDR9kp2VqEStJ/KuoG3af8LUTROy3c6Q3TzboQGV1KtMnIkF3j/ZBiLCxqi+C8IiXSxBc5N6Ro+m/YNIFNR6shhPwV0UyMMDQeEaDLf1TsIPxQDjDAbRCbCAjikcKGeizMCBkuKvL4XDjHEBi7CRu9PZSKpM+eNMDwijkL5z8aE+IteqiMUH39IR6GruBOyHnQ5L1CLg7/PpBHXAPseCnIE+Wjyn5gZ6JIkhA/VfrGjA+PGgPj57m1GocxQVmHpG/bFtAdVFzw6ClQ+D2Qv48hCYdgkyp1MqxNIcczDT3MYmSgDTus+ynGwQK6d5k/FPbV80vLCYrZeeqqXkqt7CiTlW/yFXE9maaV5mtqBd5jvFkaW2AQxuRPwF3vc/sh5h6OdFKE0045iez98cfDjjLjY4FRcXdXVhzuGdFQ/sxmwiDGdcWAgETFBtEL8JnvdWE171s1qzW/C6acjZmNpQEewjTUbCzrNZAVl2S+rubbzfx6xZ/3BBBNZSQjYgE7wRWJt4GlavCAPZuvhfyGZMh858Tc9KKjQqrvUQo8VN2PKz+qFRChDY8f2lAeVcw7xYxT9PtwIIyfNFBIJdLTpEauVS3mtrXbrQ2v+zwvp9MTkycIMwywBkqA5Yb4exNPBGaeYr4xhGHfE1uwYRwEgWgi6cewWFEnjIgakJLuzvqE3e23FcIyB11wjqF9mSbIPc4joDv6v+3rsn/9/OXXf/m8rlesHiC4jM4KDXYFRwj4xrE3hgCm11rSuoE4Bt/DoqpY9khPJxqsu8uQAAnFwBJ/pdGHBPkhQaTZD60nFF4If0ynRt4n6skll+dTyRXuaxuh2tUGzh6RQaIqAhOIIZFSdDpRBEXSZiyCBeSvpkHjS5ID9a5A+eRR07HqvUBqCx0W6BFHcM2pliEXeAOAkZGmZQZsUA1kaYx1aWWfk/UomFEu4prDboBkCE0cjdgM7e8W0hNvKbdv1Vco7lnHw8t54yELbnbnIU5HC3xiZxzusamIfwRzrDCi4inMoSoFYTPQjTnYfi4HBhwsoNITIgPQ6C94cWgoLDiX6PmZcrmlsuxpXW+3QpVl1ybo0SSOz5JADnE4zyd4tfDAkC4f5RS8G8axtuJ8muZ2rhBd7tu4QHLHNkLUZfOed0mEtN/qvg9bKum238bF3i7DcHo6vYSpTnva0FwIsQkrjfDUoT7wKLRKONP06qAiOpDup2snvqn6wb9T72RVd2HxS9EuKhL6ybaMg0y5Gnly3J+ug9YE7yE0/+AR+uiwIbzEYy/4IYI+jqjDZu5Q18FqA8obgF941PHdgTy1MIamYpxMDd8GGif4D+AxhuyF0QrgNyNMT5ZhPeA7YDP4TdAUq/l6M18X88/v5l8u5pcNtUfXkFsS6GlERpO3M7sFWSF4davgQ2BWxz/C9lD9rNIi8hVKcQiXrTlBw1OJKhXAmcFdumDUJ68LlaRRod9TgrTj3kqwp1paCwza8Fbe3m+/TJfqYvGfl1xeXn4y1m0IdrBsu12usHCr9XSaQwjo0rMm5YJyDLZ3QQxqddn2WtyK4IsmZHbQAZFQzpsLe69gBgC1OJAHXb3q4O3pdBrHYYg4CelT0W7b+na5Xq+XLF4TJOy0pK9GgtKYgSfs9RTGICBHJN3SS05Qop3Tol1XzVlf8AzKqkdgy4BEY7laXIMMiXJl0ToIByik9qJGE3aEjXlKnFANKb0A7FSQMhmLP9w2FshNd5GeEFJSIxekW1IadOmspMCaXCLUiF3XwBguRhlczkw+7Lo1XFqYueGcQn7PQ4LrAJdbhevC8rLPhqlhyxK45c1TL031nKIDnpu4j2gaxgWV322uQChBXyBlKYRbEXslWYFSwKPXNiV1R01MkjKopD1oHlnl6hULBYaIdPTOMLTTt+6HAA1hhoRmfK3byurutm2o7Ek2gTcSUOH1HjXreQYcUOhMKi+MAzuE1bMKRlTi84bO1GkaZjw1DwBUIGNEOTylLHaOOy6XvPrdAqvXDFNO78tiwzczzGFK1qM6AfswXweP2ro01IAL47nUPZE0EdY1LN1fCp1/EH4gXveeQG1XfyjGSneiGOiZBMNJL3BHA7QKbpQ1kyeFhqz3M0pi/hdtN3qn3j2a3+1PH4Ly8bdYP48BLd2jM08B4XVme7esCE80jaXFuAZGutEt2sBMzjKIn0AvAmKjKVw2tYMYGWI59IaYa4FO7tsK1Pyv7+YPF/NZ3I7Ib+wGCF1iq4Tg3YLjvnXJtnxSwnF850ggPP8TW97zvfVD04sPnzQa8XYtqLZBLLSTsO4+OHetNxEMjzfeOxG/65kHiEQr8ruuhxrQUpbb9uXL23LbX9+WD+/LPL9a67Z9Q0UopeW2QkaaMirdQwzek4c1YJaZ1YLahZki4glKbRBH70RL1Uvlmivf0huIvdrcC9QfbNYsy+qcBbJBBUWdt9aNLbWiwBWjVCYPTLr5+eRD8rv0pdRg00WdupLRTSetk0fXsYoqjoXUKeMumldTt6OBnahWKjQPnRlqXwE8qLpyKEy6zqmbsCmLfeeeehcVLomk9FyMujf7G+wWC8hTKF/z0sgk9ww2RkY1O3JgIbizY8aR7ZkE3oIshqMIK8w8wfoJQB8QldEpRhMNjDI5anxIV2g2tgNos38GNgT4oDgdpcAr76rAK+NuI8BEDl6CInKAF52+VVE9q4ESyXhqgQ+TZEpzRB9NehKRujhvx8GO848BGmVzHEXo9dv6F3tKEJ0FxkOL6SNC7TjS5wVKowHCN7hED6eT9ygcVxQPUQVGHbkDHfhodHlGKSWEgPb8nLdt232gKII+rRbLHTwCVK96vLPk2LY9vV5uuX3mm9zL34ZM9fRs22hH6Q084q1WR/7s6/uwfD8DHnvJHuMmUkppIyMzJbXasreCpImG6HzbasdL3HdUNniOq+yhSyj1q6vUfgy+jz6if7EwCCrDETUHMwVE57PHH5jYMV6PFsNTnoKZDSaeuAKCeNnNt0zvJEbnSQicQGlHNKcZ1v7zBAQN125yyjda0H25md+/mz9d0WkyNPOBdR8QDj0J2A1IaoXD/KRiVCex+xE433dsN2IVSgfumNbMzrxM4RRRnJ48ovO629teXtdy2duqlie9UHWv8Cub1G0z1FTlUOnIblDVBAR9Pm3lUi/bmm5L/vVPr/M8D+NAJxi8AltdV2kHA6zDaAyETCVfuC6DVwuyLkSEnSgXDsR20tEL9yClxUVKgk9fnE3Q7FMCxJlEBZ4m0KxJE+zhs4Vkv1st6lJUHZi0RilAVvdiVppkeMwheBJAK3Sr9nv359IrQwis5j5SVj0MM1ntFIyntXqNKFSSdg3soYG7l+Klmi5ey+ICcbBxbMyj6kOOH5ngI3Rzr9vjQOJ90qYEuXHwlabaAl1g4jSJ+4DNhUZKZWSopODZRgaZzwk5tnENcsdG9lXNIBquuXS22VJLEFMHinmJa+keCuwl3YaQK7G9mnQEB6Awt+h+FDKgRvwAvMg7GtIpnjgiihMJGWBJgwur0KV6y6TZorUwDAwkwNFxnrbv+yZCqXtCA/YNK3S9oQ1w3bZ9SevVsypo2GIKv6QwT3TFGsZhPsUB8yPwg2E+oRyB6LtvG8KwhfsgwIyYIlpnAz8045qHFbrLoZQ6iEUl9JnIEIgrBDgfSQIITwzA2Yy7tK9E5m2UtiWt21o/iKCQOdGfxWVFwgoe/lL0uxcMlSU5ArmIt1Kz2p5pSysZPSsHb4GtyMRKl2iXpD8C5Eel3V9sS/kBVh8g1HxPlQwM0PBF8uYU8LdMS0FVkOXBJ9b9Tkif2Fe9IUQuGQSF0OgfnDkb88HC0f98MtMMXcc0YxElulqI6GLP5u1mvl3NZcFhMxpEdvEq2rN5r8DLApAlOTjAu1wXVLSOy/cQpvEYvtvm0c8FxX2w8xg+TOFvXoYPZz8PMDu+LeWymX/6mn+5lM+33WV0rBxISCKLQPLe6P9wo7XLnyUCCUfickcYKmWVnEwIQ8nW3zCeheNOkN9VmAlQwUuGHK8p06f0s2Q0JNzXBqIClgRZb0n5IeAQ0xgJjLQmZ5WEhzZgLtKVru9SgzAJdtINrIIG8ZMQWoBeH3hymkvIeQHoKI0KUgZSzxlUVyEsEEGXJNcy4KIHaYGMck52AbkCQP4bH+RwCtPOEa2TH5o3nfHA0TrimMzLIiem9td6sbXmqSAqu74dbENYlJOEsgkVt+p7U6Mcni0y3UvaZUli0miBAdrBwgK+pnXQ4XpS55bWYoxRkCPMo92R9DDaQEAIi6YbEl1vffAu0nRUzje6KBWMT2gVAbUNIVJYWQM0UKYST5MGRWyDjBvpyyAqNMhSye5KOU5KRDLZBWwR9Hcgxo4JRbDT89wJMLCmY1+rwxB+DNB5RVVw3dZleVtv1+V6Wa+X/XptrD5DSRkwWA0dssM0TnOMw3Q+z6c4jjhyoKYbRqyOAufIahvWCJmeWAy4dlj565iXnLPDNR3rzbgcbcm6uo5DtzfqSHN2r+Qi4YVDEbLRer1cxxmjzm7L4sPQBmUZeqLV9dR3Svoh+IquuVsIQvbUF4ea/0sbOBcJfwLDX4JERni6BME16WiUINUtmvfvo343xX+IvD8INn6Iy/XPmOgDaGPwoIWKGXZIQeyetSQo1qaNBqFTgOT5w6DU83o17wYyOFgOUXV3M+aTN+cIO+bwZMYTELQL8DBCLynbC3EiN2N3wPCYtNAH0k10pQEy6r0CPm/kuCX0D731vBiz9qAc+keQJRflwTDQpIcm0jI7+fAS/cfR/PRkz2c7+JiQw7r5NJy/7MM3++VWLqnRPefetqKySuq36U3mj+7+Bk2katgRFXkORNgxTmy9Cqen55eXD2cME3kuxazX7XZ5f19v0BmnpaFFhlIqDvNRjyTBrUTbor4/FGbfaQ66DIKtpVRBsUWEu0HRg6QX3BSQSAkqpigABsfd61LK3Xh6tCzGiYk8kFKX2mTpC8N8udYwelHWs/cFLfI0pEyUWoEXB7ZTLZwsSdW3YPqWtMplHpeydXTIBoOZiloONluORMG5AonUTKqbpysfKD5nmssopaE6SFGuyv5TWzc5dalyZY9fp4YNq+89JdbyaU52A0bCwifwhcMlgqZMdxCvJ1SnGEIBFNFvxDvmSy4BMak0CzkmgLNxEY2a4uKPd5AhzkNbu7jz0ALIp8yxEoDkkI1DqMjGfawKiMo4IEvjjrp5d64JyunetqLoT7CkpO+iHxczoYj7+YPKzoQvX27Ltiz7+3L5vF2W16+v71fgaNfMGIfzeJ6wtufT08s4j4Yq0cC+viE6F2DdjZiKpgYadeGlkR3mXGUUAQfJ4hKyZdB4GKskcUQSkk1gJ3unQfofajn1j9LyMwruMkZnxIyeScqQUik4CtLHF5gfWYLd2FVSV4Hz3dJOb4lq1u4QTJ5Nm+LBBuJ4DA16GIpsdPkIfabSqIOZOd7JYxvhY6/2Qcs+/vQxUqsu6uGn0NI5HOJgKuiIxOIzd5tU29CMgRrg4NmTwkc+P5lhNiUiYr6uEMZtFZRxjqZOpo5YEQ2W0jqnSiqQowc2/xDMbwmcQTQ3hGNoNhxC/Js1b+Q3ZF7tU/cM2Riai8GpEB9Iam3ZlI9G2UZPcmUsmtRIVO5K91S3u/bbj7a0oWBX5Li0y2avFhb6VLbBh/O7iycTobrM7i4AYLwIwf/ub3/6j//5vwY0bYMI/t3vPv3mw/P89OHpw8da3O2y/PLl2+fXt9///pf/+T//6fXbH9lRpXLMPn24T3SQtrbeeNoV8N2RX1ypmVNTMIdBMZTXyiAllCuD96dxcphWSHEdiUD2toiLK0Cw9K7JNL9pHOnCQEUkFzG4kAKrfg+TBkRY8VyFKV1ODv3cu7Ft35AvdPm4xsZen1FTMhEIyC6Q3golrMUf4A4wujpGQT34ivtYOo2tuLViTiuYS7TWD7+tZoG6eY9+BeY3iu5704pOnbQILTrpVipuTFchrxJjVO8Hj9EfSqGh9QOnKNYyXDeBCmR0bK0ZwIWHjrjpNy2xdxzFNYVZirpFgdJZfCKAx3EKJyp29CEx4JASsSOTOWTdY1R5dimg9nFtuGIi4+B8ssCiIpX2km2J8dJjO4gG6NfL5Xp5XW9v+/r2/vZ+eb9dbjdjzDyO8zQ+n86n04d4Gk9Pp2mK0+kEom0YjZsxbtaghCqfUjMaFbyj5tkbuZgFEkQjB5OxumR6YKfCi049YHfNRZNhM6zw8t7hM43gujFW+eXD84eXl/P5fJpPE1xyJzbUoJVWpnA+shWsuLJcIyXmXmjWaoWGa1VAH0q/ewMhGWYZ6qQ2sjhjxGJSwCJIQ1mk0heu0VlaMx46kgWGP+CQH6mPH+L4wQ8cqruoLs9UPTP+FsrUTMX3paCOwM12agyQRQ+/cR+NHUyYzfRqlhvU0Gdv5idjKbCrDNCV7koYc8aPGija+xjNcDJpAIv9uZoL0fcbCZCV41FmYz5a/PkUgIidRwRfK+TPf0jmlWH6MJXRZhN+iuM4YsOzybUsuV23HBawcWBU0EZnx2ieJ/PxZFNzGfVzCxywN+HBhYGU+qGDNZ0wzTJvUT2rZGg2phkE+3d/9/IP/+VvPzx9lCwpDON0ehqnIYyoCYbZh1OcPp6G05yK37fbbb1IK7+YpXUdp1ChoKLFJI2uG14qERyVTaAiJgmMzkgzmUtzYYNKQd+Kc/E0j6MYfkAnIl15VMwJxSe2GMh5+YIuJ7Yg9JVL6RAkefDbE5KAdUUk2qwNY+qjZpGI4LbBBUL8SJl2C6urQCJwjOqhr9eQpbxBnyanG+uYkdCHMSu3rTVc9gkq4hGdRydVuqiBjXM6pEZNtvksarshHQkcWyLX3aLj5SgwSITGZQSTgyFYIqKgvpgXSjJvfEy4YFobhdHm3scVA7Gt82HRRdJhLTNevk1FsGBpsNlV5cXNQYVJEoU8zKcDz2HOIoICkIICwfw9TBPT4801FCI8+AFxpPawhJXjVgN075P/kYMNX759Xt5fb+9fl8v18n5dN3jCxmEYwngazy/nj8Pz89NHkM+n0ykOOPfZBBwMphhEyMt7w2iH7dgw8IfBaQZ0qQMuMGo5JoP5klIP4YXOG+QdibOBpfuTaZNmhcxMrIs+TpjrMsNCYZ7HCRsMM16GlxDNQCODLvw7+v1BfYvLnt5dBGu9/jIskiXcu+SuA2p9fe02ZM9Ht9po+ya6lj7fVxBUA+9lMHH9MM/VwKq9FT06HwD5AM6PBcPH3pZDYAdgyzkpkwOJATdRaQ3oKhLIkz1KebaQj6YBKaz6teESauh5NPuCizGhKGdOk6JsF3XCN+sqGIAWrXkZzemTKS/UulXzy2p+LebXbOKGJ7lWzEM5WfMPwfynyfzmBUS2s+ge3DKk09Ob+ZeVveD9A8pnlOHcMkMADjT0j9xKveVyzd7dMjxFUziP4LQShm7VeWqn3NYMEFpWDtZB/wtd2RV0wwuK5yuyeJKAvGm8Q6J7Qof3NMzneTo9TXHwwU4TNEgHG0hhUT1Nw08/f/z4d9v516dslvtQHJZvaCXHp6ZYSP42UCje01LJLDOIhTqO42mCwReWIwd2WtvgSb/t0mkmeljMVYU4Cn9LG5dsIQxXNi3K+D1MYKHq61gzUKrIi0pAJyGPYIZm27zcoLgKre6mWAzkzqxoieSXIQ8N8VRWa5WTHTpIw/raVb91IdBUyESiq5PVcjWOhhQ6p3d+24EM1k4CeThV1eIaKhoHtI1rLwz7+2WiOd/JIaSETV2fYCMDBvmBi82J6QKlf0zLsZqg5vIYTs49Lqw1KUApeGJ8u06p7MeDpMjaPMx2YLwrHjJYHNJrpp8cAZgEvYvq+oTBXtR/SD7BM1h972SYg0QdHh00rj4miuPiIilQAMZKHSdnofHmR+7ThLf3t+vb63q5Xr69whS0FGAKGzCcIU4DzGoh4JxPcxwh2xBAWi3GkKJsyUClYxGIEKA3lAnZcHkistAEx2IwnbICsImpOfEPJX4sr2r7o8pxjroxNH6n6fw0zedxGvE+RgxRCxOMQAIKrOrLfrQJahhW0x+WVkQnxDbubhb8OMDlQT3TG6pUydlFts5hni4kiTqAi7nSwdLcgeFjqFW50MMVP2qAhxfS8Ys//OfRmSL8hsy4GslBq9sep5mYCunbTAkdHPqPERLEPjGaj08YIFueaHneIJw4CRMtmUD3Ha2sQ2IdTeTDeMY3Z35nYB/6dYfqbv5KKXQ2Z2v+IZq/P5mfns1whjLk5wa4/fFGdF/RfyheHLDvlQFdlpoTZFIIwaDvug83hJ7FbrttmOyBQTBbaQvYRrLf4D3sHE2uKJabZJJK0/rRJ0a80h8nXrLCkNXmgky2bxCOho1Hkm8rpgruG+Z9TOczDTaZ0lsTmTnOG8aqBg8+hOXDPEU4lULQSsxOBwLYdACuwQNO1x5KeTTjFUMCsOxiT8z3OZhB3i8TZcAoTsYDRX4kftoOBrTGJrPeHIAeuQfx4IOPPnumxfhBultJqvBdVlccOUAl7fsKZHZ3t745HBIe9OXy1OwqEfNMMg7C+iuiPehlMu4IcGztkUqSfGqGepZdPQMi742cKKwVKo/fSZA+KkoMu62kvkpakw8RH2fQZ9lWyM9QYOMweUnP+1UErSGfgdsad0FP0aN6hAl3IiY5Rp/o9t8XuAAAIABJREFUiSXzpWQcLYkI4zmIj/5ONIWAObxqS+5K757ScXShinM08NEMRZYpuytgtsfrGKDoRg2ATiMt0OLsuypheH1/R4B+f8/skRJcKdJrrMFpsOhmiuM8yzkPNgeiDJmHIO0mO1RzaS8LvL83ztrl5GAfAywGtNX/cHuFyW/eZLQlusZBKvKQ7F1lNIESv1CphgcaoT9P8zxNp6cnjJYcJ87tlIRGA3QXM98JaWahKgLVVUBJEmEyT9cH/Z3WmaReII30EtZpN7XnJBn0MUhFx/1wBROsSVfswYFKQVqP6UdO+QfgfIhCjgLBI6CWh+JjMviKAf/AR6B/i/yJ9nmzdRBAWJwWqZcYZCyhBbwlYQkQPYDf7K/OE0aqNFHmXTmE9YGOFOIFGkdzTuZpMj6Z6YoHfIrmbwbzmydzOpnhCW+9GDPCP9n8vJtPN/NLNmNWdYe25+ixgc0eIrzbgm+Db0MgLYCuaBhdwHLB1WsqN1h8uD0RuGFOnp0LBQA1OuiNOUazBwCRicnukgqdGvHwhomwf4zFWk5PRN/2dnu/pdOwrJvHZOy4p62lCl0SfROBu+cwxOgtbEVjCOMIyQB60oBOac6KgwAm2R7lO4biikU7RLR064AnzeLxTnDQhsB6IEITR41qcOKapIE9wwS90XUmBs8PAIP+QLwEGghkPkbhGAmAOxRIcm57QusNnLDYiiv+JOill+q3Oo9xgffCoTyntIvcozNfTDYtaVZqfYWXOMLc4fdGOx8ZdaS7TVpZAIMFEysYZbm1P+T+PJJ5g7KVXSAkpVXiH3YWd6kJ2XYO00tC6ZGK4VCCnserjlCm7fC8vgtxieVFdl/RBySN5wfTjHeKE09iNmEvcguI/irsO2kAzaENeGqZx3Y/qOR1PVoa9dtaZpBdzKChMwQ4lwApQOSCYPGXvq/fBejb6+uK7msYD+qaYKUuIFvCQR2CiXHoiZovnExhMFQT7ZY5b+gF3Nu2FcyOWC7IQVDB8ODRxiHWycYIVoRSjJoqhtkwrsMJvOSGOgauvjY6acECOVEAEyQ414yTH4cwzcFHM0TI/lAid5jQoCX7Pl7wO0u8h0unZ7UmNg89gw8au+6R1JsJuZksoKXPCXM2q0nCS0qQZtWdfvKHb7zMb79PsL13YQpv/eiq8YO044evo9VFpJ3U8aDZj5202pUnfoujBSkcGZpREpCAjkQfvxg8Vv0gxx/b04Au5A09NDKKwT9IO3bEyFj5wCFVgQaxtZj/OJrnGaW/6MynD2aezTAZN3CcA+1GA+nvKYJCwTTr/pE5wIn+R7ZGa+fQxgiRg7dlDC4w5wsNLHP19drKNZUL/P5rri6JL7yx4HbQtldt9YW5rZghESjJiCiGmF5p6f7fQEvU4UoRKpgKp1AOdcsnkJKLXO015X1DVzeQSHSn+YTWErGyG2cHNZM424lcWPwfKHjVk0EMA+TmSWYvh4XYwfPERLVcvXwS3Wmcgw0vpE5HMxzJH072wwKUtsEMHwp8XMZuSqXE24/OmxVdrupsnziyDkkqzjv6+rAqJ2Su9GuLMk6sxAhjybar5I8v0J3HRDYnK119LRBlDtWz4lXZZZjNpOPPhaM4hK8kDmDShJYSnYGiwwd0+J+qAtitIwlsw6qTyTkkaHsu0tg82JraPReL8CFuukcJVIIAC15qmqfWDnh1WDryMZgcQooMCOzYZw/xAxGVHAyuD/AN8hPuKrUgPbxvcbuPQU/U/6CD5mizELn94eqnQwIwAgy6MHSGS7ukyPsfAzRMXvC1Ww4/IAkvcwA400HqaqqnEbwKQhZHM7iJdV2XfduW63K7rcuKVpey01vK2JenuU2YtJHQgBiaheHLlvZtBdBGUiurTNvFFGfI/zx03+hEqzG4CZMR0TE7DCPg/OBiQMekVO0Oer0H4scmkq69VzVNF3j2LkON7RKm77ZLYlRARxYaEQC21ezZtiUSTlFg6VSI3t510MeSMB2ttY8FwB9kHvfWrYfQLPETfKGYPhuQwmtW/ZptAMUFVTWwFiNfSB2fZb2KeFBoxBH1PWgtE9oIYSPb1RXfmS5TrqeuDRTQ6UBOB7VGrGb+2fwU6P5sUXscZmBt59W4jvUptozzvJTWFZFLa+lI5TTNuxKCHQLGMI8enGikpgnvEORGwXyWZNbccoP/CQ1IiVlQ9AMhWTChG6oywTu9fHb0xglNSlKRn3QY4gjGboohGmtH0/ZpRPljy5gAlMG1oQNzg+zd0/OTDDGKFd5ibKtHTsF0hzdDpsxhgghLnTD2kqHojBCUD1ECrItZbOyVnaDvDTNQwu1hpA5MXKIpU6FJGfhCgHL4t0l0w63h7oSpNN4GZ2aTW+CMO9Kq7EgWpEW/CBqNqSZOLxTIZaEjAHKZ46oF4J1aBl2AtyPNGBKreiiSKUiyvCXjVGv1Y2SGLGrtAOSRKQzJYfco5TfuQ4ng0vuDD8ZRTWSqgjajqzWLbGwZq6LMDMausCAplc8uRpFofkz11lolDxUd7qFuzV1E9gjnjp2qjKmqAI792tsy2Vip+1jlj337HgQUML4OGu7SW70XffA02VMxkkFMP0pUPUADq5NxQTtfb7iAsQDVvkcRTFsUKQ1Bu0jvwoUjOx36OTvlmncY3YqzdAZjAlmpCaHi32xvvWFAWVrWTm6oBTeVVvceERFgHBZK8BG3FUWYgBE+zjuKs+lZzRLkvUfwnstIaMbeOBbmXePRI7EotGVja1mNPD7dTHTGA6dhMvUQ6ERVKXegysO6UaNw1g+xVojsPs3kLvB4UHE8FgyFmNaj/LhFCiAYXu8rAtCoFLxf2IeySxAufwlMP7P/7sKgQ+lIX1CkIUOt9FmOFsDD3LOTuneor5fTDBHq6Xnon4K5o2iUEK12OFC/L+brZl6zeSM/fgjs5Pkq5XqhIvhCl8njJ2fA9pww6bs0uyHLovc/ArRBaDYVnlksUoFqZAcIOFyOrXvQE4hUS8d7HjOGWxWKDPW8ANIN0TBi/RDhVefftnVZbV6ryyGVMQ5mGCMSSMyKkAq3Kr/ktIOjJ3q+Oe0FW6VVdOoGyP8430cEAx5GX3T10GGgGV5LmAnbYAmtbkarS5z3qSm3PFimOmVtwZbyjGo8ULwCT+CPwRwC+ZjFwcVY+4x7kCEGFdUpgyNH10tqQV0gHbSZ3R/YhNCEeJS/BppCJrRKf6IgmsM7UHePCFhZf9QjSkGKDFOVRmdHlw+Jr+iz61iKMjiIKmhFhA4QoVor3KbEHI45I08QRKaGniYJsWj+0SbrXgdUslt90/rcKx47wnzhOChOUhJSS73o3wXc0iUkygK+XwJnUfL1hjS2qYl2W5gjWgcSvaoGUSwJZIgcVMcdz+tpoVpCVSRhDdDS9TspdBi831EC9zAlFVkPXw4MBoA1cLVOiEWbJS6qJmscGRGGsZQ8TC2sKfjdBFxrMf4HB+EsMlG6bGD5yFdKLdG1MYlxgSB3uU/HGN0eqqXflCc+BtqivCAeICSQqePTU7LXJY4qx1Fl1FqgiG1kVhTHxgh3r9786u7SC9S8cuiNQbzm4Ce0eu8VWgMur17CYP7S5y/cR0f0O/hQyvrBX/Xx1D6+o7/+UCQ8ioc5Gx+BfHVniN2+R9Xu1ICgA28PLJ53PdGx6VnrO5pG1HRQXkDaAeE7p2NhMbpb+s74VD8YV9vIHpNBw61UKQVLwtI2mdsV87y/7eZLoiV0j/zyJfm21G6gY6XqQ5h3EOX4A7wBC38e/jsN8ySpZ2ufxnnkABQr6T0+VAb9imuhUInPhkodSXZK8qml10nfYi8T5zGVta15WUoq75fL26vNg0cZEJolCthAR6BCicgppmli8AnzgZRoiwT54wBYo0Ml4MgvUx24myQSwI+Gzr1s9hNXcXbcaIWsm3jAhYY0Nc3dObi4pzxse8HK5ayCw9RY5chMXrVR5r66pBbcS5myw3UsBRJiIZ6J8VVjivZCHbkqZqTSruRgUCbpiU4aUS3dUeRB+Uv85XlDtY1dqURck+qxiCl8Fh0dLlEJaH+HNZWYgooOotD4Q2xn1eGPmSEYHhYTJWtlg0XfTN0dXMyVaDisZ5WrNaDCiIMHxx8agy1vR7PwAOFz+Wp9QP0Oibk6sHXJQh+r9DDbApdbgsPhdczjSLd/l37p6lQo302uSCD3n2uEOiaI3gO0LfBr8tZnMGXSrwk8VAo8BBOb9wqm5CTmo3Qn4ZLi3cVRHuLkRzc/ATi0tEpRHg7lrHSjOZ0BP9dCE1OMs8TfjAg6ylz4m24yoh9LWCRxL0WtfNxpTRX8QKX4fehJD8nadaTdTfeQePDMehW/90tiqeT4cUfXwrUgDSzFgiGS5lXbSuoz6JSXITbCNuZTSSW9jyzr1JSE7GMs1g9h+rAbPYKhHKPf3SypXZAmFgt8CZ5wgqaBOUYl02s0FhMAvSiakS+po8hcGYnLxMsInxhqgn/o8CqYhvN3xRdV3oq0CXZoRTpZob6Mwpap3svN3G6Y5/3HBQEaXtLd0E6xM0vUQoCM4leHac7d1bo7RItBjv6WYhL2O1CUAeak5cyxpLKFOlrT3iN+QXWgI/5YeYKLEWgSqEUQk0OcptnDXgZeLntKeS8pTV+u+9ct15TWdbPWrntiH7AW66zzO+alwuyNAh4MeKPFF+4eHWgxlxz9fqoHoAZO2QZhV2WYqnh7ADP1mfQVtTSOy+1W7hKXpGtdVC8CTuW812a9oyVHg5Nz7G+8G5+z7tchqjwRimlkEAiGK2cIqDVET0Q4hY/sHbNJaBjwWwA1EsZknrbGe6oRerFRGAbavYlHKnMHxIvaQox7SjEg02Ncwy2HbLfWgI5nujU7lxA9UaUqCNBQrgrjDQ28KEKq3TnphSm/0NVS2+wyQcWxiOaIVzDghatWyDT+gwlSA9ZCw2Axdc9lb67kYOyEPMhGaK/oi6qFAV1VigIkNmjY1T7Lnp/LWB05AZUcYCORdojIKagjmqRRk5ddJINcHj8i6JJ2zEbH7EqhfdGcB99ZXCT8JO8NU9lReVAALXVRCJwzfTDAOPjoQ8Wlj7TDxcAezBPSAg5EgzqEDboSrA1WbFCc7cTcj9Gri3jQTU7VJ0fPo0tWxrwJyaQsUZdVPtT8Do6hC50PO45DsaEERP/qfSvCZZlEaS3myyOKuFZgf8ozomeR2FNypuk6O4iBg8p4UFr+GJqPF360T3qcSXg8ILM7S2KoWN3opJKGAVeRHX2gj+mChHapCrmFprVyAqw9Uh82H0JuEEE3uOai/IhVgAveqVQJ4hKUf9AAykjvQsu3zSxXWPt/W8znxfxxgyX0jb2Fh+hQmZACFOQpMt2SMtd6ETq/CK0bZYUKi/V3NZksIEnA4qCpkzhaXNUeBjJ0oAKjHNy7XPKXt/z17W0Y3wOKnlAoT6fZhzicBhdcZNl6WbdQHJqncrndFm4e6OvFFVpm93mPVlk+f6sY7i7ifRINFHZjt+WjJ11CB9vEu8m9cndd2tZlPCgiaYw7Zoh2zNHBGc5BEiFYln25aGaoknzIr5QYlOspl0QIFvZFCzdLERjVt0TJSh93qlD8kYT5FCuMgiSEAZ3FWHTRacu3NH2gbkgCFC332KCwVJbxpqJxbTZiAnWYns95L+wtbsPgWyvzcBrCqLGPFq8JzcZ7zmmBZduKATQ15QJzQ5FNZay6sJWW1CyL+F+oRJ6EmecyVXwcIVisqz7CPAlJMWyNsgmJVVoMx02mYHymncBR+FEqnR6K/XtXhQzVYXMVex3YgymDlDnc2/d5u5rm6GQSGdNS5FTu0z/79EIZAIwmUs7Cwh5DNykA0UOABuHFQa/aZi2qL8nf2EvCWRJS0EAtjCp0XYGirxicyyG2wdfdbAnWRnxCqBRjgTjJecykAGfCMWuKfbgUxDWsDyq8Dyc8IqbE1khZFoqDrKrTJETW21Hh08LDdxFQer0OhYbOVlB2t4Mu7QmWjXTf3iJ6lKliLWBiGEQogExyQnJmaNatdoz1Fk5GjkyJTQKfHw+eP4u/j7bRovR4DO7ajcL+PeNpmiEjgmWcoLzQYWDDZgMco/VhYNTByzvefaqSFC51OVTeEWfTYsJg3Aw2Q19eSzgPsfZglLneFjIbl4v5ejV/ukEx/ZYwV0UI6PuE+ofPgoCGbv+Ol/nGUMPU68cAfXwiAgI4pDLHAqeLKVUknhiBaDH6UIR4XDoMEa2117fbv/zz12AiNOMx5DJBFEOnMplxRN3ntm6X19ev7+9LWiDjqpZygb4ksEEwzhXJBfdJVk0ElMscgEqsJAGz1570CBHcq+I2IZF6rVpNRKUkrWoL1aaEIOOU5R5wmiPrChKX5cgl8lDxkkJnRlZP4YEozCSaiBpXXW/kyqohFFYAMlVdoAAacBYWDES0K+NXmM56HnxA86ij8qagFw0uD3jyENDdPgyRDWYRXc3wCuE8UfS/Tcy53TAAd6GdElS/FO/pYIcEJl+3221ZXt+ur1+XtCxvb58vy3uCIxuGCbeKfZgbhnrDNelwwkHGYWuCEX7eodTxBV4GHrJgmU6GwqNSQZh9QHUNHNDAOZEPLA3cAG8xtDkSSe97V3xiOWFW72IPFDBA7o9RCR2DHsxCD5TNyKkt06o9A+RghsRzXpiw7wL0cHq63TbiqGOPYFVJIRmaUdTHoNkWNz8M6uJseDLs7F1sJTq7c7ZftW3nPNltW9K+lrcyjfPpdPbel6rCZ7VyvGveeG0pWX/oA5S6JtZMsG4apvM88UhGu5AWajtslhP/+HURREuna4+55LSUXMY/ZRykaMlEqtofeejtehbDqohpnqVRAUFaopWaoiQD9yq5dHwfIUn94zUS/cXo/F37fZftHLBaLD0TMelAw7n9cH9+EPBBmNFLF1wGnccQmEEXfz0H1Deaf8tDqtlXs99MXiBPqTOjQex/pNlGELfQ1qxGyujCbTXXC7DzH6/m19X8sqPVcO3ijePrmFYlftmy1O5/ZDy5luC0HHqMACGRZhMXG/AE4yIDCqCOVIoCmxT6q9E6W8Y1WreXerkuv//nX9a9/PR1+fTl26effz4/P43jOGJQm8+lfLvl63b51z98/uM//3q5XJFSis0a1Xz6aiy1lUJPM8Z9ilwUfbLKA0Viz97AowpqABYVzztRIxzJuAgdtLlOkLU674nGjS8LxhkFNE341FZBBUIyZk0Kdl04gFZy2qZKcU9Ohnp0f9D0TnlrwBX0zsh7GjwrWeyhsWiZw+9Ow9RKHSJaKYcBlY4xnqKNzkNOAzkVSq+Dh88JGhnHccD00BDGEH1AdHaDcJ0AVfTFZ6skO4xlJz6cgnDs2dFMsb9f3pfL+vr19vb69u11/uXzt9fX12V7z3kjTwFOtMDx1QMi4w9zKa7Ssla/VbfsFSogW2EHNm0g0IN3A16stLJXWJ7UIH8wNiUDOmO+S0F1QniyIxmSYmwptrL3BzoY3bCIjfAP5wx3YYgJZzEMUuqZWiRQNfahMiOFS7sMTgZhuywOlO8DdJgmF+iPxhlZDEAIMqAjQNF0rSUJezBJnBZH9kbkkqi4+GCQtQDVDphjW1pe03Jb9j0tfru+3mSWBMeJsecQTwKqQ8WxHfEcnUUSmiF9tR5GHCNUTjEM1kec0WGEEwpcBIR5o6L+8JNVHKH75BDKdNZa497dvE5YGIpZaWRCUyueZQ1Nc/QVQUWd522H/KreE0vd3qalXrOHcuNRb8coJ1zdn4t6Diri+E598P7HqmMjJovQCNBqskC/EJaHO9PtiK9hBNkRbAFchd5D+uwaCRER8TlaKUFdgDEoy2LKgl+ahUgRelvbBjpTs4Gzbtk0/r1t6Bh8vZlfEkLzv27mT9l865H80WtHWOtujkRBnny641Bx8HKC2rSPxVKFIhWjLDYjRh8nG3HzcbVdH8wiwU8QKZSd0jeagI3fMfzhtn19X3/98n6eT/M0xXEw1u57va1tWdb319e316/btmt3kVKM/azurG63cgkOLcv4R59yKepiFlYAZWQgSO+g4r2j6S7pAb4xHvdqySsGNRxQytHNeB6diO2FohXDLzFv6l1Zd1KHFxcGOZhdAVqwe2eU6oB2YXbpYLyNHNQ5hE8LIxW8mA+jD3OYjLGYjjQ4h0A8ncbRB+cHGwZ0isFieBgRdtFqFFpoYUChlT1tYu8G/0vSQhKINfby2jDl7ZVvfEA9LCz6jVRWjB/K7I6XDy/L7fby8fL65fz89WkcP7rwpb7+3i/fyCgFRKFUYKkvU12BQtkuVbzlxNSMsEfwhIytFB8AkhGmIyQgpYRaPXprg20BDReFamQS7xyRGEUGhUku5IwLKhkkf6VIrhFXMiSaFkq5glwnWBa5s+zgJh3Cng6JSyJ3F10rFVEVL+6btuk8BGhEJgrRH7E1joiaRQsrJq1it08r81118nwrGOBeCI1FdY854NhWkK9Cr4ECTHJp9xtXLw2gkaFATU+seW/DeaShmTLwKPdugrf6OI3z6GF2EKLU/OX29+bOzqQdlfEeATnGm82XB6nXi4IHOX3X3fX6CncVF4LI9WRGpcxGP96hvkJ/610aKde9GyU+mFEeRG77SzT0URu8E9kyqqq7KkvRLPQVlEH1mAr/RP7B4Y+4LA6qqsUUKwOQVJToNTMkLpAZ4qTszebNrcHrriwm7SatMBybK/sVA2P0Y0+6wGcJzatZ38y2mNsOTuNLNr80863B6E7Y567cO9iU+0emqxc+hSpGeK7IB1S7Es644ugRSXtk9vMhHuk9+TogRKzcpXwvdwTLFi6DQWE1+qK2rZS83bZvv/z663zyDraI2k1HuIvBg7zNFk3V0nSgXFYn0NiWprSsNitqRxDKKXy8GMupiE3Pf+mQUNNwIFm186OGTnQXgjDwnmGddOgx6ZzHxXa8B6piDbxBVNTvIX6T3vbgXECsobmHx0gNWm+DZvDOjQGdXnAPDq4P3MD8DeftMPqRpAQ8KqMPA2gJwF+sA0QqSjLY/I6GNVh/q+pWnJT5ORmL6Qqi4iit/Ej7vUpWe7m+u19z0w7KCqqACL6umOwx4jhA48M4x4BpI65M+fZLTesVVTACTuY0Ms4QoUfEV8woON8dpxGwRgP6RATkrGPf4MCMEeERsxPR0u9Qg6UjJ7VpFudSADdEst2DSlAvPRb6DrcdaobEzRkz47vLh7JaHKraq5aaHN87jUUdI/2K0t1zTMt6CNDsFDlGrncNpTib6fgAwvbMAmvb0MdDTE0/jTXnfLvd6AKDTnHQzKChIf0Al1Hhi1gMZ06IFgXNslRZZ1R6ClsbDxr6gLTKIFs3xQGT56fRjyPcwZg2oSQp5wr9/nqclL3Zf12Ws2iK+sirjmhEitRDdJfTCExSdqTbV7LQnVBcQGOc7rqHOR9duCZOW6qB16h7PFL814999wgn5Ybcmd7+y498iBAMgT/F8BkRbJCagKyrGEdCAUUTFkBYqebw7IyoDYOhhD81wwCvvBFoO9NGgPFLMX+8mK9fzeUVYfUfPWygnYf9tLS63HnxbmW/ryZdzO0Vs1d+reaPxfypmD8ZmNiJGfRBaIgLx6M3qCYHgvoffAeEFBUPQXkc2IVOmnLik+xHOl5JI4NcZOlGkylGJAS1b1At5GlEJ7sfBWrAiKXenHfrsoiu/yhRSNcyiQEIGNFUTy1pL9ILiyn0hrBkFGsSJWAcaR+3pF4gfCSHMYl1ir5hjuSSGr40aXOtea96B+gC2UpODIofNxNA5lL070aHUbJDb6aJHNDRhtGfpzkGD3u+CZEVljVQcwcIaYfgZNvQ+MNHMUegcWaIHAAC0C3ZBlzk1SMQCsU+yUXCMT5NEJ8m2VHqQqeDYcTG/ZFjFfd6ST0e8tp7LUaUquJcxA5KGetOPsST43FwK0ay6HPx9hdr3/74+9Y2VA0pKislHgcAXOJw96oboExj1gIrhAJxUyw1WDvQl9e6MGKCsnUBEmU4zXlf/GBqHKTfv6L1yNEXEPb9xmQHlTmQtig0hLNCNZLVLVbUJDEi7JZFLBVcgusemUUZ7mVpiKObzM2G4YD7jhhEgEZQrTsWrpQ7JO0SdMwZsrSeoqgedvsIzaWkSkJ5Wa45px2NgfsGWTO+tnXdVgzNghpK6RgtrHGHk6fluEfpbTzC8Y8lPlYhThO86+JpdkP00zBEcEj/H13v9aTbdd2J7ZPDFzrdjHABEkwgATCJIERREkRKIkWRVmkkyy7N2DNl13j84Co/+MH/gR/t8pM95SdP1WhmXJJtKjBKIkUOE0giEBARLuINfTt+4Zzv5OD6rbX2Pqf7wq0r8Ibu/r4+Z5+11/6tX3AQ5BLiBrDqWqAB/chKn2ws+PU3HG0AIvcc/n6wKuUuidVYNK3tKBWMRAblRniB+kp3OD7yu+WdEP/OSL+MA1gHqFvFc0LOMRIt31PXa+M1ej75W8YhBA7hWEbzATCHEKHSkQsb79os7Oa2mnM/UeMaWBrlFAJbdKjXqUKRPS6Q243Sn6mdDk00gBDzPJmhYodV3WxUnQDfSDt12qpVqxbkL5roLBWaZ+kcwrM/r4FeeDQq4CtRtvVVFV4AezLjoEotAjdd+F9mBxAFijoJoAnsZayZX5y5Z3bDQabBsxuwAKi/ps2T9d+64Aj7F6b61GrJXi2RJYSo4AvxovKXbFjBOmMGA33Kyew6rsVsVgAggdAMCkUlr2eleliOKpd8QIHlwrqGaUskNkcfiw8bEK/vQ2YT+JELDML1PctTnm8D+fNQdcHoRsUmgY1HHYwgvpryJMgM11pq/NhtTdNS9SdqhilPn1m+aQ6g2liJ/ClkRD3E157tNjj19R7ZFvNRZZRqokIZSx+ZgdgQV+Gl0VNjSN+prvD7qlHVpticssGqKKQ7OE3TT+P0bk9BeKTBQIg3DZDIPdFyHbgGcFysT060XeP0XWDBocB2Wwx5PLf+ptewAAAgAElEQVSGwhU4Tk85EHAoJRTHtjFE5FB6q6OhHcnWmAaMTY3XCBpoEOF4n2YbPD1rNE5TaO2NU7F2OOscnAvONNEIMBZ2N5vLCBiEZPO2qRRivSsEEVQwpUcKhHKruqzLvKrKHM5IyNJkbxdqi9FDgxODH4AJ9uwhpGdrOv2Gb4vZbMfV2XA5kOcS+NF0CpTDh2W/7bkOxLrEWeLNWfNgRE+lhUP8wBs+0sjD7p79wPzliNs5smZlc128e4S9UCqogIC0/hg15BXG18HsE4NXun4RsZbW1WocnjKGpA3qOwapz/mRUm8jCAaDGH0Jzw2msuEztYybgjlAwqtskC6sFNBEXqmkQn5V0qm7HaCJhCrmaYtU77k2ohs+NIG6oW2gygEZpz0SY9e6cSb8Q4ov7zG+ifQeAevmSTaJWXokrvdrpsWwoILIU/poQ6Mh0QnRQyyOCnrUSvsktbRiywBZD4cq6NkvHxYZ8TVkG3LEF1GpQF0UAkrJHdQ6cplCe0tFjDo1MdKVsSDhqpgG2p7lEYChPI+GaOQD6vsgYGN0gpkZPnzY2CELOcTZ0HU8iyoseUai0rp+QOAEml/UC5q0MarB/udsAsTjFQF+aRnTYZHeGozYtBproOyyOxJH0QgphYsxGelpQYZZiozZyTySHw9C00WeoYNU6TqaAzz7fMlTbm46EV34IKpX+BBEZ2KQaNrKD5hleYEK+w6E87qpt7u82aqKC12TkV02MfERZtZ1Hh1w6QdHgea1Q6mEYNFDsYKC6TkWeNG4NI7jBFaj3Lax+wZYuKv6wKVazDlyIkMjkEaYYlZDhE+ng+6Vain5FND2IPb3zPEm3yLUxMYnzjF/gx6PJnkAAHvi2AC5DGxc7bEcYFygWe3BIeNEYCRXb5GKty1Y3MRpqWur64hJ0jU1XGbge6sJZ+Q+q9qm7l1XBQHcS5h0xPbaVJ21lpKBHO2Qoj/G/A0NK2PUi0l76AcR8A3LdeAzLecztkKUp5IbZh4V6i5K7Mz4mnH7oGff2pWbT608WdJRRlL+CNfkZA3KtOWTK6dqslJLEh/I4msk5tdy77NKaSpx98AXYxtSlobwf+8RWo866NEREYyOTmWdyikiFgZnBaEcjHaTAASVBKR12HEEIcq0nSt3Tx0fqzZRRQLmRk5GH8zXIHMY/R6MZQeXUhaRV6rOUJ0LBcKGifQ2tBHzMzKCPY4dMNAH/l4rbsxPzfxuHs5xrpI2fiWRnVbM61OiOMSzzRbQQs2LJxCYOUzslMz3aRgGMEWQaxsdp41pOXpeQkdp3AVxA+4yTEFp0ZHIwvJsjz4FX+77vmotGptZURR4cH6yXTdEO+uTXS8ilh0/wPQEsK/vegGGbSi3/H/chFO9JfsPZsPxHxl+YTCCDeeY783XpXcpUYXpHkzOw8yewg8lWEKyG43T+WhAzQuYUToxUOL+WQSARpfLomQDUAxqW0OiEs9NAW4Y6xg923qIOfy/KewSQDsU56ERx57gWHbnOoEf1EFdB1U8qWZlkG92qyItigU7HBPxjhcYK9/oWUcNpHkqn5nqBnATBpkuEkalgFOiPccwCt0Bmj0O/MZ645MVx+TSgQ1DAs/t68a1HeQAE3dCGine1jGBY2sw1D7fBaLrOmQAACElmgqy8CGdECU+COFYrsA9NDs2k2UnVh1eKT0vY8Nt15V1TSe6gDSpzIkm+RFWNUFmfa8CvK3MrkjcBY4EWx01Y0CKGlHtdD/4BZz7EAoHKXH9AC7UwJux5D2sWU3KMZ9pDra6FxBAgUcXZgqvEz/PdOsySzd8av2XPHp1bE8fKPqqqalSm+KvpwQsBNLUVs0XHPirUp31er53YibLeHwFRp9g/ukcOdp8WUlluiYMms4sxMEg4j52LWBs4DVb8BjFr2iqbGQAKidR/lo1x6rIVFoDMFEdYmeDAENCfvSHd8+q7pZ4/Y14PeOliWxn0q0MvmEaZwOyCy/FTA6ZjMt/HEJF8V/2RDe7OI+eRDMmrAhdbanV5csq5gYD/VJv3brM8z0jsg4OlUTfRXPK273veB0SKDxuTjEugTDKjfzQUipAvfXBfcBvYNjleRgz0rQNX0KeR44dOLZvEdsByAP9Dze/pDAX2JfqLg8f2blfn+/4LZP4Fhg0I90cMM3zQkocHx4ovU7ISYPNmrUnNh8G+Tow14gNEUcbv7CdmGEwUtjqKycHDlM8R3jXeAXLZR8tTAafNZtGr9Px1iCpoaxIFKYOE670xJ2HNhYbyjsdBpqIuqvCyIsnfpqGVY1sbxqWcUAtG0Vz283HBaCfIuVreqeBi63rFMCpkb3tkD6/sdqKrhzhZRhPWnZnQ/FMwQbiBKhPD1RRe+DzgPBcdrLksQTPSUdAKw5vpIhH+juLleSwiLABesO6ZdM8dqKgn/1wO2TNCgIwlllzflpdN3lRtjZkwwHQeqBmjovdw7axgxA9XwxUsISBhYL7ojzHhixW7gc0itRE8yxUj3E1/VP4Ffxe5cNx7ABTQT8IQ58HImhTbBLtcHI8c7EMuVSgMKGfmh992JTPR1tpFw45MOsGWnxMyDzK6XuYnxHf1ipLxlQHfwriFEqOh6Q749ECg5zE62drLmlMxJiAzu0mVnUMYow/jHGSKd+Dep3+2FKVzDtQ5dh7onVRfylohsKoOHXQU70Ps3p2xPEDNZ8pf6amW2qyqy7nKssRL9t1ahao2Q5CUhwyEZU3ocWHfaWajByyepX3YIBsCN8gIr1UXgmKuGc7MRJx469E7aC8gqRojKZHJrGDPdF4skZlhDg50lZQs000ZMYZ6EjEjj0suD4jEuI7jC6T0kxm00kYhJNgFnmzqT+nMbTtxb7jWzFQBxzfHM8BkQD0BgS4IiICqZwOM8+4+UbZpQRT4L6ANKj8iiyVyEjsVqyBNdvBgwPasTbyEd/oweOI1qfuKCR2iUD4s+WRlhWZwNN1E1xukAmQjTHbisqOqEvpODFGtIh60bFHxgCynXk+TbXVAi1dMeivtcqcTDJ48Y4BLlkYNELTBBsMGYgwqQeGBq/uiSkMMibGm7gHiK2OJ3Eex2FZebDU1Oak7IDKX8jxe8wARxGuoTSzicBhQURQYDCKczWGOKBruhZEz9w7dsh/k6OAnk7jaM7vGUKdFmcM14MDDzo2Mp+ySUkqUozhgaZeF3LTFi437BHNJbOxLZ/wc/b0IzL8u/Ws0PgB1qB5ko5EkxMibVBdWdUd5hK9B2kmWjIHDEgoaGnLgakSmVPQ9LCuanLiB6ODWNraC8lY9tPt7N6dXTeqzk5IrvxBFPgBjopoSPCLRp3EqdR8Cc2QGwkJzcox8pNRUR1JuinNQ0JcBk0nbZgtbgYxePD4kJF8ix1RSAZa+qkxa1OjebA9rErjjEjfne3L6fR2htExnh9K3OEIbh4eJYPS6lIIzTc79xMKIUajbAbtS9fck97EcgGVSao0NcgB5apMZ2q3JQfRBv+1LfzNLIaVqLS73AzDC4DkJHCCV40FlKOm6oxI2VHLPEYwxzi7gdSZn8aqbhny6L8RIwF9/jVdMeFIelgyyPAkdNp4mDGXjYEtMbTTFURMXegR8xwnCqMLFy88ePnq7qWLexe359OtKJ5HUeiHAYYdPlEeqPJS/bVcCjgAus3p05SDd4ajOWIlm+wIAgvlE8gDiL3cyC4Dq05u7hl8zziyiX6Eu37aqJhoYoIIRnVaZteCYMjx1xBKpYbK9x9uxmisPnyhnlyYTmC0v+kvZUoKoyMDwDy+0YNxo+75xu9Xdgl5b+aHYaEHXzO+Jq3UaOyFblXhROJ5URRM4skmm9R1Rt7y5xitxLUFZc7u2t7B+a61mw6KBhRz8IQ4CwXjDPwSwAvnDE5Tc8H6RBsAuyoeRWgZmBxwwMJneg+L84kkiWmh3haJqUS7RwvrfJuD8ngTQesMLgiBI9xfYL9gjv89HXSbl2wxK0/UgEUQ1aLrrKq1HbC6QY5rutoiW8gWTTRr37E5lER4buqyLgpN6ehgMc7mIdK667xejqIanfjPkhuoQFuI9AwDkIkwocZwELIktM8wGpNRs/ZLGu3lsmLleMtL31gkmh1A2JvDsz5MRvidaUuEvu9qDmpv2qqoCFcfYTRapC6bDYXR0EYJNJMcXIcfjTf3cSGW2jGqXwzajqnQI17K8DeaZkmcNiP34M9x4GAHV3oX3bSAGx5wD2O7rXF32OO5Hsz+OSaZJ6Eh9dpUyHXfy6I3UjlZsD2kSaA++TJAzQcCxjeMJ9+YSmjo1GK4xG97VM3JRVTPaDk6fZCk47jKd1Di70a4FLNRpaUjw0rBAyXDnSs8xdVZ2N7ns8l999334EMPXn/w+s7O3tY2YohDkq5gNkeKNwZ2+WpTZecpBXnwyFqiZCPtacnVE9ZYJGMw1CBTf/BjunybNOvIBF/yD0xcYDlLC8auc7jlO0gO5ejxGSi2o0XEi3f0YPFrGDah+cOwmoYncLRaNfZMn8NeqAY30jQyvfD0vxloSvOdDO9Avz9hy/D+xHvXyGhYe97rfkkRHbHDwRl4URMGfh36YQjAo20LsqcXw1Xzs3A1IABZFOpElIGDPrThnDhKBQ8YNJVTB6O8DrUXdRRVmm6jNJdcH3QmNDsqIPMbuzXqrOhI8FqOy7belAhOUUuk4CasnLdQDHwoGoEeCK6FjE7RT6rOfoB4QhogrwVQIxQFdiWHixLQxM7vOr/vnKYB0mk5iDBAm+9hJIFegni1iH7t6qpF79kqt7VqjK3OvB636hpnMd6qZwaGsuK73rM6z7Ec37VsFxRBskxiVQKNr8lqYOgCRv2ztGnsgm34q7Qz6ASiM1IV07nTaJrhMN7cbFCNm7p36qqxO9w8JuGdk6SPX1e8XSVXRUd9m9okj4p+YkfTM/YENYgCo76miTZUB1POxEvPAsTRUBltbFVb8Hghayn0yDV1o+yCxilA+nGSk6d0mLYGjknei+4bmTmUKmumeB7JWyitoCXUm0LZB+13QE00NAz6F4/+xhdngGuEAyDvRxAUKmkyOWTRD8tuZHpohgtsxH6mvhgFAPFJdRNGr0GmZIwrQ5W6NYseuv7AQ+95zwPXr1+5em02m89ms0kc+0HA6a2MCMv3Ja8PbapJL0a9vPaDlV1fbybsAIaB5XgDPmP8faYl5ZZI/yOeelnJpvE8o1xg8TlztjRxRZafGcCLYJ4916QEahWVIDxjIGl0EUd4xfjQxssEpnfGO11wY3lgmWlDYyuijCC/j0U7LOTg7oVQWrGx4UsiBDv6gbXlEq4trUFOnlDE74MCEmgQDD8cz7PgZIxWOrTtjGOgGnhnO4EFwRabnYK/4tle2yNmoiG3ACJBSHz2qNVnkB94E3480WXDZRoUCTYQZqX+eMyFUsSfiuEi7V625bN4k3ih+GnJ6ZTC0fTwG/5NusjoyijhNnRBOn5Uxx/u3mwrtezCdsqq6EsY61OJhIodlhpNHVAAEkJaHcejc6KNSHlUdWazV3lZ53XgbbKqCJsy3ySNU9RORf2K1TSgxopeg5Doe57ZoW3nmqmlVGhe4VdKwTU03SatEhwQKI971DTokQhPCPS3HRrmUbMlkxhJFBb8jWEQxkTlwMh/Vdu2qrD9qr4Cj8X4Z52zRR0dDfWFpwGCtG8a5RCVH5OWRtYTphCPzxLnhzGjJlSqM/XbpUWl2VWNh/8WFrZRpyOnDeJVIPWqRW4hzTDotdi1lptZkqaxQgTbP718S4oYxK+wOpxf2FMNASZdTfahPJ/U/2jaZwhqRijN+Gkf4A622hgxN7iQyDMprSuDBXyKFi4HABy9ikdgH64jtc58a8TWWJYCK/nopLw1jd97/epDjzxy9f4HL12+sre3N51Oo0kUhRFquNgrUYIuO5bqey2TK2YMk/aFOLJsJCmcCh55DUbA+qQlyjk9CyL/4DMHvqEC09UeCz3u+QxpL8TvWOOHHbzO4AkM3QZbeRA/hUjRFptgMO+Em9XR1dM97XixsTOBcTPnY7mZAehnVtoFOftLeRWET6AEWaxU0TXPnDDDYVfRDRMvcK2t503c4v2gg4M/HYCgFoT3BxMVicnm9Eiehh9dw9QfHlZwU+v2KnAsMDUo4h3tswanWWeEQg79MwhudICDRFHGgpToiPfn87PNJYSOUDoWgaERYgZyKygmvMTwAyQGh1xE95HivkM4qEMiF3HS0nkCRJ1hq87zBXrn4qVgMkmS5Xp5QimDg91Bi7RNhLt2fYiv9mw/sNzAsUDfpMwI8jrppkHRdPNmu6jrpsyqYpOtkyRNq6zYpEmWyTJlLTh/Z44uHhadHHXkeZBVro/1fNBlsSkWmktOsFp9q7mEgsQJ/ZENjuR3Go/mhscoIqRpEMd3WXvaRsMwjXSz0Dd1BXXoYHAomS/2oC+n+kONM0fWg4QpNDEz86B3Mj5ejqq6qYTDSFBX56GPHt69/ESegyJbuarEaJZSX3toC7Gp1OiC+xTunT5lrzgUre24qiPQA+/Lp2eC2l3W+LE5FnAa7qBJWEeqBtXHqgkJdR65J5mIL4ZDxsgMX2sDT/NQ1IyBZCAlpnCSi2GO/GJWIDgdo//in3Wv7nQ0OxVCv0FJZWRnKd+3r1yZP3j/tfuvXrxwYXt3d3s+m8fT2A8x62OeFMcIDlT1wWFRhHCMrGkIfFxf9EDEALKjG8ZAmMw8uL0fPmNYjqP/MWYCDEwS2EgjHeCMXQ+5bteCWVQ3XdUWZZ2XdVGVCJOrOF8VEmYMbwI3noRxGPt+6EHYLceJQZCuD9imeTELTD+EI1tkvh1CWhVcYzT/GVouY7M4BsL5jtEiPz8Nk0t1z75kkVELapsexjqu40NX7EOrheEXsOWq6xtlMelKHOQxynM6j7UisHKBJySvCMwqtO84YXcdUjhpxUIZzxG0YDiTIytiQE02HOUzCqWC76a2vGNrSLaFIW4+yVbwTSSoTEK2ZDrAr08sFA0LKKhnzn64fhx3EP72ebFxsqy2cGA16bEtJn55Wfp+FYZt5TgxBPKTEOwhnDoIL7adihBMhBEW63LjJ6Fv+c4G/TK0iCxKHOaEZ3AJca0btHz010zQp7A2JyCrFpycaGkJa1z/IOMH1RzTTLes+VjClRnx88jgRgN9Yyh76PnI0LKuEVFKisEe8/lhLXHjBvRKiD6ae0fOZzz9gC/m2K9Q3dNXDoZKZ50rhsfj/HqVI7MxuwCh2FKFo3IHdbbCZkJs6JIeuxrUC7+DR36sVOygQCtfuTGFrbiANSyP/JcNck3fh0zjxL8UJweOXPFUvYVoqzrBG3AtFfbiYFrQf/HqvLBGhnZGMahF2fLDGtbH2JOFCR2E2DGxn9hu5HUxnM+NPy3fV70SQGQbDk0Gy2SrYms+Dy9e3ptfvX+2uzfd3o7jCAKoMIRXmNDheUNmzw2CEzRdmoE4DoaijDM57OohJfF5+Z6LLfBokfMmJJXaANDDeUlvwyNZEx+zmcILsRgwzAaq37qkAU+ZF1DsIj2ubJpqnaSIcKzg1YkcPOARKg6cMPCiKIT9dRxP48lkQkhOiJaO0mQc1/IHnYuW0Q7akcHjWLe0I2jbbEWyKUq4HjlHssxEpgXnmVpnoS/+OvbFOgeu4EOslojbDksmgJ0Q7ziglHttWbH5s3hq88uAZsqhOpimkK8WvDr6GpgjHkkHpo1wSYJtn9uBhUcuJ45dqx7qdzh2iN0P9Q3UVQPv6jmcVjlWB8UU9nXZb+gGE4rYKnJvRdsDJh5OOtAlUiQV/VhETqejElnwyYECRBYt0TAfbm0h8BIWaCA5o7SI8S9puuFXWjdFnkPUB+e70IsDUIkwTMHFgo9o3wddZ9dIkqmQ/uZbTuX7YemXyH8j42ZTmkfRmQbG1emT0u3iofNhlRKF8SSKJy5ySemusO+vYRKNOihp1kwSsaF6suRQawRlFZHl/1DKBwqqtEciiMCMAc4pDiaE5EPcAaMHV3AAOmgyq+kEBqo0bfEZyIIFfmdvgPkEw6gbTwJNdTO1e1zN+x585LoHylHZKuOVQykk2LE5MKVQ9VoFFfbqLQt2GYEDuIMhCRy4CHQGiuUgB9aeqG4Cx1FYBbjQvwShXI22Qltdh2ozgVlSQyEAoVITLSPMtU0pP2fNWRsPfk2j9h4Kk65rPDbkK+JZqqKYCb21sp5f+LOj7ZQBTvHF0IZp7MUk2wuTdDzX29qKL166uLe3NZ1tRWEcRROoSOj0Lzmo2vxGA1wAOUjEI00w/72Ol9GDLvr5zoIWUo0MPR5bHSBJ2EpK3h5vfFLBhKSmd2vRHzRNVyF8HDY3ZV4vNkWWb6osKTcbJDXnRVlWWdnmWVWVRV6WSVGQEWWlKG0rCPzZLA78IJ7NJ1E0ncZxHAVRyJJwsuXAQx2BLhV5EYyTQvg2024mAXrYUPhkZXZZfmB5TsPHbd6gxj+7TrIfLso4M+jeAm0+xlNlRZ+mKZiyjUAMYdsBUGiQb+vapUJJxwtKG+f1QRNdYGH4IZA961AGIaTeVHlEqd8r8N3gmo/8WXbit2DpD4iZnANtDBBJwcpsXD7ddxQ7KW01emZJB4NAz7VscPfE0lik1ETD4MmP3rK5BZH9T2fB3JN55WabpG1b3PiyxHmBrOxkqtb3HB1ol1XjV1XZFHUTcKowvTBsRs1pH4K7qm3adLNZnJwURZ5nad1UuEbY7bBRGz3hmQo14iATaogV4geB5XpNp9JsY63com43WY7RLRt9A4uSIbie+bMdydk8K02qk5O6PEfiT8B/FLmsXknM8afs+qYoqywvN0V1vEwXx4dlvoF5AqlmiOEio2Og6pKyMuDRehrLbPkh64rdDMfL8QwjVVM1hsm79sCT1mJ0+xzY1qCGpp46IKrG2kUyIQwm6NNATIYhJkqmZ1HuH4PO9OUooy3OfEY/EtrKz5WXokZbMTh56H8dfGeGYyEor/Fts1Dlc7xcQVLvTDPtGI82e4xJYjE9NbeprqbI8k/E+BIpuOjEKuMKuNoQV0Ke1q7r87IciSZGxEjaVrlnGYiV/ArEbHMsO/bdS3t7e3s7k0kUhHEQRhRRSKbJgmyxIesAKZlpAlEqeX8X91rpA/px6yewk1hP0k9PcjEZNNAq4eAx8/awJZ0dMdPDDLlEn5dNWRd5nqdpmqzXy2V5tCqT9bLL1ptsXVXFJs+bRhUlkjG6pmbaK32/Gqb0to1HZ2UH5DIGmkoYTSZTL4ggL3dgWIdm2nencTifzSbT6XQy6eGw5Ds+hTFytLtEiYn7z0BSN9I34fXLA8CD5yGJUH4wTQowuUajR2BELjNN+fDHXjpwdo+SZp+wDsji7QITlh7NiLDFZGHwUJIgid4X30xOC+E33aEBwecQQEIzDDrVoEyjUxX0w6xPyfiS1hdPAwhFPMQaHmni52oSlk7OI94ZefPrCSQdE01OJL8dDrK457jtpqenbdumSVJkWUPBVwIOkMdm3bZu0zh1VeSFHxRRWZZlUZW+75AvDISPXt/1RQnqc1lkRVG8+tJLtudVZVlkOZ3ISo4xZAjp3MszyVGgZ3rrrHCFYiCMeqWKrnHL0uqdrm2qIncxH9DfRx4SdtMZoQHmaKk1LPqJ1cCleaxNPRctuFkh8B+p6xo1uijTNCvSpMwzAL6eSzFuFKakXQVN0i8vN6aWmyJl0gPkXY24S7JG+QnWn2/GJWdQPbMANELLMw7LhWXoGidWVTtUZCmRxKaSjVbAUZ6vrBK3vyQChjiX0vfhRG/hTpAXs1srZ6n8FSHULpGpI2WTMTSaYuI+l64qI5KoNBgVmoxDLvTNWejGGI8MUm/9U0hp5kdb2x/x9aH4JPpy4pH0ynJJJZ0ka41L6k1Vq0b1X+slYBpeuuXziXdxezZB8MM0CEIf6R7oIt8NyBZ+vWzhXFOH2aOeDwmbgTSzww1kSGAAwzWMfuYmmlLHnyRTRCatNk1V15uyyrJys1qvk+T4ZHFyulguVquTNM02Zb4BoEjQIcUiIjgMnuXwaZKjH7tQkmcvjCBc18mzjLyaoTrve892PNd2g8CbTNzdrdnOzvaFCxeKOT5C5LZ3oechvUcPw9gEwlxhzX7mymnmNsMa1/86XuVmKY+nguNPwt/IGGf0lxavK1Bj2PgJ9lAuwdCW7Vs2/DhJUCYUH6BxEnZMBxzYFRBlefSgskZFYmvhvOGQWI/wGfTWRMSTACbSncqeoolXJhKaD0d6sMKDQtwWuQBa9SYV3m7Jw5lLEZ28h8pusvTOfbjJyQkif8oSThotrETNFyHeqa7IsZaG2onnBb5rObHjW23nR77dNnWR98pa5VnVNFmSldmmKuswiMsqx6GrzPI8rxhDg2PIiFDOg3by8QAWRvkKbLxoW17kBxcvXNq5sHPh6sULs92d6Z4/8cI49ILQIvXWSJNCCWtSC0bzCmGnYrCoh/o0ZtQWGnzGEVRlMBeVFZlXTZbn6zQ/XizvHp/efOfm6fFR3VTpJulqSrSETZSYcggcxDeFZrQ0WEMveGa10W/xY8o8SVYllKC6eEmgAmkOeZmdkRHqNcJwQaDUxFdhoHZD9R5HXQvUjq22PDUNaCpItK2wVJNCBSWsR+1C5Sk0h+QJIDKmhgSBGdXZihu/HuAyxR0Dv/D3wJW2qRknyATWH6tKnW7UOiMPEOrWEyWuSWvdShuNi/lBeOmC44ETJfX4tMLJokDhsMnR8Y6kSrNXBh0dFQSl8cRsYLwEUB0Zq6UjHSO8mFuCbOfQLJ94R5aaxP4knPp+7OEQZrtgI2rPjqEY6D1RaBesCj8XEijsPep40CwSjELvcfhesoo031KQAWpAdF1jHSrfVpYdEMRcldUmz0/SLFmtjo5Pj4+Tk4P9VbLMk2UHrKMCrgVhmpznOyRI0IqTlFLcqZoqFh1YcS3JrKSz8LjWXZ4R10yOGmHsp8k0Tdd5lu3u7dV1tRJNUxUAACAASURBVNVuxbOpChvIeOF8A82/kHhlGzKNH4fsGRIvj4fOH/X4wdRRyqYPOQ9z6DsrJFdNE+gNXsT3Egw3G/Z+iKX2p5ZadMrlgDK6/XBPkmAAal3FKots3ticllYgP3DEyHA4EFAEQyRhES4us+W0QdS7vl0BVGSqLYI0ap9IiKznJUwmJts1PcKQRD1xxODPHGYxQ4HebDZ0fizx1I4ACOYjN01TIBqTcgRYLVg29WYTT2dRHLuhR8SsPqvKZFMs0wwNc1Vlx4tis6krON6B94MJIYvWz28RUqZhOoNTlQ8hiu2HwWS6NZnNZttbnu9F/sRxQ8Bmjk/5Zczj4qQgUQpIjIWUeD5JEDdu/NCQuw5NJBmYPkMDGIsLcFBi6RrukgsbYfhxM9pMswJitvN23J+bbmjVOTlIkLflqLzy8sWe7QZ9U7JjPdPGuGEUyEZX53MLY0yLNqtEGLE0L/ZcFYdWHPaAiMjtKYpVWKmwUHYJInO8hZmhauB5xKlBTYmhYl5DL54TjbbzaORo4492QCAy0QsBerCszR4iV1D3aX7I5ZgSV4a6bFJqeeMhr1nWzpImhS0pqeshrI48iDGAcRsQq4i3alFELKNIWsrL+OG4uPIcSrR5clnoTvEIwrExKpts+wHs5cAEoDMy7e6MI7FvgHhDmVEEI4smtZINa7h34ocFiIS4fZjxzuj+0Ht2yFFHi2i5QReKN1i8tL1XFaDmMi+SNF0kq+OTZHF8eudwvTw5Tpd38jJDTBFli6I6YyESwwxINW+F9NjTY06lSiFBiSIA6CIRa0rcEQYvL8tSdQKMu6o2FQwq86at8bi2dbc1CbHslUf+//o4p0cvmlzHDh96bY5PgCMprUToSF90fhQ4dGx8apQxkuGN9GZ8TJ5SGBDiEO36rm9ZAY6KbVE3HiHRkOfBQApryLUsEJWAZXicQ6ibJ2bDsWKRPUwk+pyWIc9CYe/PB1YOdO+BzJ2b/eozOLdllOzhaJU7CHu0IIV5bn5GdoOgBAYtnuWHQhKn71USInycRNtMW+SWfnTturar4XxaVHWT5eU63WxvzT3vKIomju/6oa9UV9XVpoDOLsvzvqqSPH3ksV/57V/96O1Xb/nBzf/zz/7u+hNPpq8+t6rxXZSyvCDomxrCHse1PT+C3Yw/m88Dx0Kmme9duXzf9tbW45/+TPr2a2h5PAo3g3mSc+m+a6cHd+quc+BxLqQlhu45YUdZ3rXL23cPD5kNgl2ScEymuYbxxKrLumlB4takbDZpZ0oiHlcvvHZx9uabG9jLkkqYEnM827IC38vydn71ic8/Zv3f33iu7cBsq2qqwg5Ej0WW9b0Kw6gpi0d/5VffeOYHjR9Yk8sfvNw/+/Itz7bKstp54Il/9c9++8/+j399d5kXdRd4dl7WYRx3deXYiPbAd4jipsy6Dp1jVRSOH9od8o2D0C+LMtx+8OMPeb/8x7fDEC1OELae00SzaHrpg1c/6pW/eG36wQ/Ur7+A0rcpmigu2xxydUUgNXI0if5MvYQ3U12h/FNqqBGqqeyran5F9ZFIUSxb5Y0qqKBjH8f4gxiklL3N4AbyUzuMK00aIcsLB8SGDBVZk8S0ExGi0O7EDGji80h4nystj+nWaEzDwx/JxhXvI2Olxg+T9i0cxtHIqfHcIArdMAJ2Bvsi4pmJdEefuM72DcyjMnCfTL2oNulyQ4pfsZ0+U5QHoJH+TZ5CKYuj4xDoV+iBkqpJi7xJ1qtkszw5PTo+3t8/Xi6OFutNnm1qLIMa1ZlWO+X8sOodYVEsYBOu8oibz1EVSHyGhgI9M3bHDkcT1iKQr6jV211BYaNlfYT+vKyzLN/d7G4X0+2t3elEgQBA6YISaShEF+I8kgGelDHdgYyLyxkKPHPbDIY4QkH4+E9YEW0q9O8GDu3B6ubXohMVze5w4oYUn/KFwFSDaRztXNCmtAB9PVhsSF6avif0dtlVA5Ub27f24Bv2XRApCDMwgXkDdGq6XYJVSRJGIldxnkCHQYud/Mr5Nkm+gywyhAgQOY905Do+VSOf74JxwMpLLI4HFTJBK1QBJcYJSZ0gXxKXBQ8yzYhTNwhdpLohSbOA/0ZfFHloq7LKn/vBtx794IN/860f/w//41f+5b+4+PP98o8+85mf/uSbf/uTFy88/MSffOHTdZFVvV0s7z7/TvaVL/zaN/7D1//kX/6TWTQ/XW1Obt7+6CcfxSMahlW09ejHHwtd59bNm1euX1fl2vODy9fub9vad52mykvltU03cevOn4euWpwcb8reC+P7rt1X1rDorYu1Hc6a3nXq1LGt1ptMQj9rrdj32jpfJJutnYv4VuUmiKaW6hcnJz14wq0/2b0+6/f2di9fvFCn1VOPf6Cv6runy6/+6//lRNnXH/vVz6/tSx/61G5s/eT5t8pbv/jcv/jvkrde2izu/PVPbv/h5z9Rpse3Cv+BB99/f+x2XvjgNfXZJHzlR9/42vefjWZ7riq/9E//1Ss/+Nbuo0/NfOv5Hz33uS8/NY13Ttbpn//P/1Oy+7H/+p9+Nl0sf3Gz/ODVreXRG1ceefxHX/8L/5HPfuyR+177+3/zzMl9X/6jpz5+alcv/O2ynn7+C082r73yvute8cah995PO21s7+2F7/lNq6/s5MRSYbN6Pf/at1WBtJS5jzGdHLXFBhhwc9sA7kAsqK26QFkz4Cdw8OiVXyprAzellmzz2C5Dkkzoy+m4SMw/3R+Np/Zj/olDNZ2ZygasE3adOFicyQkjoiK3rpoIxxiGkCpHw2CtURI3Nz7HGPEmK9UAbLAWimo7DYEEEOZSPxxeR/jHwBUa0Dl9ShXyBVkAGA26MbaX1t70hEaGTW002h8EX2R9XVRZsjlcrJcnp4uD49OjO0m6zjZ5XYOlSqc39vKhl0BThzZaXCdFpDc81VTdJKSWSBi6drOFJhv6cM9H8uK6avq+XAOd4nhphd22c9q6a2ZTWJTAYhlnGu4WtbSTDk6SzicznrHIVq7mmWJNpqYDj0tPEFg1IOIyAQ4sLvnwryE8jnFIuY9kBUjRsw0xiXGNgCvzPihx8ANRSPgEAiOwtEgTz8+cSPmIR7vvvQ6oZ/YejnAYJQwMGA2urIXMLaLcwS5Jfl7t6CazKs790jDOOV683Eo2pqRYErYlNVMO/VaEE81eSDiGpel6s0nW69Xx8dHh/v7d/bt37x4uTo5Xi6NNsgJ5ukDCHUDYtnnl2e8fNNGF+fyl537+4Y894VrWpesfmFmb12+8Fl54ZNqXTz35pPJ3r2xP8pObR0fLl24sH37wWnZ6V00vzKfhZH55Zxrkde76bpKsp1uzrilPl5u93a3T4xMvCPOqvbQ78yd7Vp2kRTObToCel1ladbMoODlZhlFcd9ZOYG3t7pGssUvTNAiD1XLpBXD2Dn03KyvHC6y2yBvLc3GXk3RdKft0ubJV8+r+cnd7++CtF2/f2f/eL0/u38HR+IMffjSt1AeuX3zlxmtvvfbqp/74v2kPX33h+992tu+7/+H3vPaTbzfxlQt7W/N58O2vfnP3ysVf/OR7f/33P/jIJz9Bcrv2ue//3Wma/Pi5Ny6F1d8/c+O973ng1i9/+OY7t77z0un9O7btBW/94j+eqL0nH7v/q//hq1cfuPbTF2587BNPPPHEY8dvvHyUYWz/jz/9j4sse/anLzzx1JN2uHf/E48c/fAv66oIHv5Ila+6ybzp1skr/2g/9qnjF3+eufGhNTku1N2FemdfvXNL7e+r4yO1XKrlqcqW6qRQJx2FCrbANzofbnbKBfochiqeqNkMc0gf+Txk3MF2HDgEYTjZWqD6oXnR8Yk2EUVCIkdLUCjBOExTJfYb02bBW6BmhX1ACQPkR5kdZ8RdbfBG0ctYtHEsMCUup0J2UcfpQ8K64weVrOMUtisy6CMyAMZGVNSpV+L5xDCW+P/50PlmUseFLMubHWhe2j9boCd+gdHzrweM4OX2dVtnZV7nVbVZp4ujxcnprdv7r7+x/9abbx8fHyTrdVXldV022nodE1qYAyHnrsVYB7MQzPLpiE6aKebzC1KH8k+27kQGtRDlTJnNEjrdASaFXrTry7Ip8nKZrE9PTw4Pj+7cun3r7bs33769f+vuwZ27hweHy8VpmqyLPEf+EsWbcCfJ5yeSMbF/CjeDov48f/FGs8GhppH5tjhEiY5Yp5DRh+HSoAEnh2hKwCIHV6ezfa9u+7JuqsYCl4VHQWCa4X/p9mutmpkGvNv9FX8Y7TrJLv18fKI2gJYS73xA2BynBzTPGg7tJCEftPCYQq0noijCBNQNr2YmE5gmkHHFyEZ59OGE4UQrq8UNzZzsWNA4/ipxD6JiXVXw6sAUuSqZ8dBUsLKLwzBJEuDXdXV0cLesNvt3Tw/372xfuLo+vvnqW7eXh7enl68X6frGz767bKKsUBfj/nSRWG5UN7j4k+29Dz/+4ez04DRpIrur7Ch0m01VTWdzq6vTDSK2sk023dpaL0/zouitLslBC43jqMQaQuQTjFLzcmdrulou6qpq26Iom7IsmrafzqZpks635pskAaW5t7ZmsyZfV8r3VLUpIacsqzotynVSHG/quVN+/2cv3HzjtTffunnn1q3k5GCVly//7EfKD5+/cXgpbF578+bHH3/4u8/c/q1f/8SP//4bzz7/0oeefPrWC//wylsHB7dvHt7dPzndn9z/2NVJcHrw9ks33lFtm6XLo+PV0e13TrrZJx6Ov/X3P1wly/27p/u3b65PDtr4wX/yR7/78ve//jffffF3vvQb3/vW3129/t7Dt375Dz987n3vv/7y8z87XZw+/MRnq5sv7r9za2t7b6s7Ov7Btx5++otOeqN67Tv29FJ19GZ5dKc4upm+9Xrw+O/2+aHzwKPpyy+1japqIM5JjUHfYa72C7VfI1fwtFdrHI6Uta2sqXIiVGShWtFiKiuK8c7xKyuIwkGhWWw3WvQg28EYRBM5jLUIYSr0MPNskHpgqWRQhWKRcSw3ZSnICjSNJrcmHKlTloVr9H7S8Ii6xMCUoksV83s8Tb5n3X9p++p912Y7e1E8jWJiQLOsTn83eYyFMjYuJmceZE2SEwqAzhMQ7Zz513HMyLgrl8eo6+u6S8s6z8oiTZar46Oj45u3Dm699c7J4d3V+qSqihbuNpAL0vyZIo4QQUdkMEqgIxxDzuVntxWBZahOUnIYA9XszEmYOb8dyMKJPEwWxSjYXdOCIFsUWQ6eLLhYeZFnRZJmeYY/lhXCOugLhao0OixoYFX7o8pPLv87CINNPB/PGHQXO/JKPVM6ewZ7GfGv2wZyybqtyiYviiTZFHmKDcPtIt8OfI76gvgCN97ojYfTC747gVTaF5ROH2NzYL2kjAaSf4kJhTZo0+cwo5LTxzYRHBlXKnIqYuGOxqw5tuaMnwxQqK6/s79IMqBJwz/s7F7lsCoBZNmKiQ3g9MZg7ro5FPAH9w7Gi4+PexcvXTo6OuZbw5sLU1JkokYEbr4svuXN463p9tbetYs7u3sXdi5Op9PpPJzMtmZRZLkT1+sD5BC6yHoHI0qb7BqxFiFtQrNjhrPx32FwU68AVqtogasWdbONNbgpTlEWNAHHVWyaNimqZZYvV+Vqtbh5d//1Gzde/ukzy+M7TVW32KcBlhEXGv+3e/X6tp0epMqr1ou0EA6bnswyTAQTGNGzCG9SH+GonMn4V4CmMNrajbu7xwljBcZ1iH04+cMjQHkrUA9N1QORenRbPXJZbU/UNLZ8F/JtoJZVZwWXgsv3N2+/CE7HIvVIYVhlMOkvEmSjbCrkxkKpRLSQ7anau1/NLqnpRRXFKsL4DP+aV2q1VuslNd0J+BuLQiUNeNAbqtFJi19pi2KdM+isgQ62xitYZ+hYNT3KSIejtVzTIJWO3pTkRIddERYx/YxuYDSZ+EGQLJfE91HD8IAuL6ALockCZsXDCbAZltie502nzpOPPvT4xz956eH3Xbx0aWdnbzbbiqYRKdMQo22SCEdMmXcrz8NnUJnTzbTAy4ZSSdVQZDXjFoeekLZr66bNizopyny9LlaL/aPTt28f3Hrn5vHhTYDOTUWZzDi0YzpEj5WOlGbJOLFeEJcDIcIoo5aqMMmrgbRyMR5qn0gxNQDCp22yryDkwKHIGGgMPPDwwsDbmc8n02kQzaLJdBL5s/l2EAbzSTCZTCJYMyOIzvcoiA5XEnwpqkF6ei8Vary3DdeRp7J8ANKW6vd6OCo9XEBhapq2KMssy9dJtl6mRycnd++enBy8U5XpdMu7vONub4VxPA2DIAZ/IXDBD9XEDbbkp+eMuBONUUhxEDfp0un1BvbFAM6xIJ7+kUedEM3oxkBaZYpsrVWP6RqnsRLHhrSd/Nzzz6m3r65rtNGLJLP/6Kev3D6ClQa/FG5xGEZVnVG+HnBz8HckFsTElcj7482DXpVnx4PiVhYO2wPRIn3k45/u3vnlzcUmCqM8x/f/8K/85lMfe+TFX7790fddyTar/+cv/sZy/N0LF6/edyHe2bp89dp2OJ1u7YaxDVPueNvxA5s8N8IQ7uh7M2+JzQUSbb2FYJpL8aDw9O6VCidbM78+Weaz7b3Yd7LNOp7vWH1XFoWlmqJ1A7vJSpCySXngTCO/KFBw86amOaG9uz3LyypZpy4RvUHGouM3osxamrPSg2dM/Tmy5+j2GyeD8SJ3fUJ+NSJJWJAZEoBMG+QbjZckgwNVvtrPZYWeJwfoz0bCNxhXqmhBcM4ajPLCDv7PsIehkCawCrvj7uDQC9vI6uMpXs4nV+i8UlmqVqfKOVbtUm0SOkO6SsXocJsWjbbHMhabDsIN3Vs9am4pagtJLkrUjKBwEMTBdA7jzW+SGCXUsO8xReQgYQI6cN6R7dz0njqrCWCAcBn5etOISLQhQ/qG3m7FFYyeetZqcR4nnky0n8hW4DG6zpAjUemZZvndS/P4Y4ywGrUUHar1RJHaAWrTtHWb+aBuqERrWtXpJk/Wh6frt+8uXr91tDjar/K0qiv0p1SguddmQ0TjkoAFT/0HFEiUKss0uF4hdLbrurppQKuD5STGg5IXLHdOLhpnYjEALeWSKlfd1FA74uFAsl3b1CeLBWkSwjDyZ5NdqFkmQRxF08lkNp9HcRRPYdQKUoUXgSyLLZZizvUAX8t/6FV0mpp+UTm6sweVhh80EHTmQ9L10B/zXXOgDnVwYAJ/sMysPFJx0Hp2Gzht01g2QDoN7orCRostAIbxuETHcNEOZcodRpO02tgekM9zJE7lJxf0YPaTGk8XNEME9CkxA0f8GMHo/O8UqMZfReCGC5I2XwsCxh3HGyXd48ONt7asVNmwWakxGeDdSvyW0LTy5ZaFOOrnx5lVg8cG/bHrmovXP/ChB2avNTvv2wmLxY1///Ufv/PGjd/+7V+7fLV89tt/mbz/y7/+6N6L+UN/+se/tXv54nHmPPrw/XZdhtO57fcHy+I9D1wKo7is2zTNt+eTtuni2G6tdHcr7to+qbomOVHB7PLF3aM7dy9du4hgAUTD2W2+sFxvHtl3Do5cx9ty1HrTzuJJU29K5bkUcH3lyl7Xq8XJYjLdmk2xWIu6jwOvLjK0e56/vXdhUjXgMV3dbq/uPXT//c/Wq+cwAqchmAblx4m33OdJmttAfu65wMtlOUvB549z1s+UhCjwrvyDGMeOluqoX+MajTLdqaxSUa2iRjVO54CngU3HpRLBcDB+MSncgunzJFCTqZpvq+mpOk1UkVPMK5lHQz5eEsTRQfYC0Lkhq/4Gs8SqxctVPVVnQjmYSZ11Eq0yTrpiTaPwTtknjyCORl8Q49TAFlrCU6cQG3EWpbkYG8y6ICZgrs9GOTqrWk5FQm1iOFkgPTbndKnisWqMWgxMvKlQGHm1nmu+u9Hc+OLTp5lboP/M7xLvTAKNhk/lz+R62EKlWjZpVi7TYrHY3Dpc3Lpzc3H4TpkldQWImPYR5iRIO8CPWEtut/gmdMqAdX0cXL58IXDDsqzg+BpA25XnVZKu2hbPeVM2bdfldQlTc/o6CAHIoEdCcGnb48Mzn0mrhmpTA44A2RxaVVNnxcZaWqtw7XleHIXTyXRG/xdNotl0Oonj6c40iMNJMImQQQN8mDpyfOhp8HkysQF82WKbnhoMJYjDKU2v0qdKTu0SUg99Y051BL3L8zdtn6XZ2vfDwHOcxgdH2rLahjy9mXPEnBbx46OjhqsjEyia1ZisSQ9FRFt6ebgd0dNNE1IeHsOzQFK7xO5HsH8Htx3mecSSb2yEDIdkgoltlaiAFmFW2MDonTEghC5T9QhLO1+gty5f8H07XS2U1TfIyeUITubwCtgvPM8hFF38bcb+RyjnCFujpg801+rnP/7xB77yX3zr//rzr/zxb1rWM8X6+HvP3X76Q7sHP3EfvLa3uJFPr16pTm82V67dd+1ScnwYX7qvWh5u33c9ClW+WfW2s6nU7lZc5ZuidVRfVZ2Vb9atO9ubereW1sWtedPanu02ZV5bfuzaR6tkGlBP6niO7V28sI0Wsl2frMqdme9Ajoi1AE1iH3i4zW6Zry0vnoRumW+atiOPPrtr29NVEk8mrtO9cnzw6tv7Dzx0fSuO0iNphsabkwR6tRjaMtdSHnfqgLR/NJbG2ewY/j6yQAabnFG1lnQWHeA9zKTPVmpMRKhG11Q9kWHsI+LBhQUYeTqTGwEyYcnziFsnxwbvbeIod4qiPN1SaYG22qa0eKyWFoYbTgcvU3z/Chh03ZIrFhVliVPpoVtJe5RsOeiN3ic/Zg29DebVCWuXiM3MM5eOmSnY5OwltFuyGgU9WhobXW7FlhYtqmQFGbRQPpM5G6SrhjAJf6xhT8EHPfoSfCOSAxOoZSZ4+soOedTjyc5w/7TP8vChW0ItEBN54Kg6gyfX1DQUzPM036zWq9snx7f2b50c3CrWC+6dyUSAORso9GadEexD/RfLo2wLkcq+M9+a7GxfhB+wbfth6LhuXbUnx0d5UTRQMWCOUp4cdzi30AkIodY8SjI+rmLIjrQc1s8N6Kj4NRJj1anrte04q8SK/KXvBzBggpf2bGtrPllF09l0e749m0yjKIIlk4dMMIQwYR6rG9MhFNF4UGqzIM2N0ZEYA4GY9HoaxKGWkTcAgq8i24KYsK7q1QoCSF95vu2rvKFY495yAx7YoUnXyqQBWJZ7JAcvvUsRaMrbe9/Cp8vM9UhWyTdCrpksYPLc062TBqXIkU07yCtwtLltVkiS5We7a4hij6uEtGc4mZ35cCfXrnKwUWslfVm2VslB1gwok6Md/PxGNw32dXRW5HXTDccZVCVMUW3L+sX3v/eFz/769/7qL3/ji7/5jb/6plLWY08+/ZB759/9+Y9//TO/89azf/XMO+ml4oX66f/ywtT96c9/9omPP356560LDzycnh5WvZNaTtmumt7aT5qd3b02X9b+TmglWdF6k67I8t6y0k02DZuyafq06Kwy7a35LN4kmeq740W6t7eTpUnT93leWI5btFFkN8u0suwwCOMmSdK2c7JyazJL0+S06maTuK3yonSrpinrBvObLM9a1+0bLwzfePOlqw88cPedN0zLbA6z40rNWSojMhajHecdSMa8nsEr7N6jtV7TIwbkmQ98c3JfaFr61SDRle4AvhK6FeiUW6frA7KEBn2EyFpa1IDSH+BsrMK5mk6AR7NCjruXrlVVRRrCFvrDutKqHLbqdyg6tiMXDjKGZud+SdU6OwQxPkD8EzVkziWum4ge0i5XRAkgNpZGMDvYprva3p2vhLZnhHiPWxed1skPVUcMYSxUTmEgjBknd0a3mQ5wbgA+vvzj4juct89Or+65I3oDNqQKA2YJjNrlZVmXNRSqSbJarNYHx8f7d47v3k6Wi6osKcFIxn8MjRGRTl+/cy+Gzg5nfPhsTOOd+W4YhF4UKsvKsmo2ma3Xy7zITxan9aqQpGZSPUscoDEkIDY3XzreD0YwkyAQpPNWcACCWrlpLKtrmk2eJ2l6fHo6iyfT2WQ+n83n89X2am9vb2tra4qBQRTEEcmyuUZrx06RYrFL9LnjiqjNDPe41yXcpK6wMBS9leciHce3Ami+Lah8UzpiwRHJn9n+FEPC2kHyMyUDCbOC82R1BqSU/WER6ScR9B6WbjNwzT4Z+BtWAjIVjztoHjLzxZRJnjzT6IjoQtN0lls1u2mhnqnBsGlbPJ1o6tqu7hp1ujz/lLtbVy8Hjd2pQFlRul4CPG8qoNeyvfJxDT8F0a5xfQy38Nza4QeLf18sbn/1L+9atv0Xf/4XPIV4/offfIGK2r/7s5dJ0GepPn/r1RdO7sZ+OHvllV9OZzvd7dswS4iCsrLqpuQD7OHhoaVUVhzycMOusuOiwEJM10WKa5tXJS+po5OcS2ddZCflRjZdmjtlyTKTnbM9ODxq2sayrGyzrgsEeNu9WpPJAyJymw5kIlg4blbJ5s7x8Vu3b9745StvvfjLpj8P7JjrCDsUdD2I1dF3WDcm0iSPluFoPfIqEeNNo/jXD+G9bqVSr/lLelF8AJGgRMG2hjKwi/lzoKMKVOfZvUdfwjEVNldqQiJIQQsgBpYdHvK8BTNpVEv2HTV9ft8D1iCtPl4RIDWFzbAZExQQWpzCiI2JyuJ4D2OEhg5Ccqs0g0nvCGZ6TsbQWjWIoygJQPGLTvdEXaCnBT86C/TlK0jbq9kSsFCmZodBI7gGV61MjGVWI0lG7/IxZKDw9mlU+UPZFpX2+FhzLwuYMQrqnNu6qYuyTjdZkqRHi/XR/smtt+8c3r6ZL07rPEcbxPQ37cHPHThl6w4PmkFuadYIFVHd1I7jTCfRdDaz/aDrlevVged0Vle2gKOpleag0pZGqtLPn8kvpI0P6X5kFUbTKOEeU1/NNm8EMbm0iAiMqpvWggyxXG7W4eJ0e2trL92FwUNWGsSWPQAAIABJREFU1jvb03kDM8wwsPsAPS6y14SywTcdppzi8irGv8AceD8dLrNlfsOtLrKVbNsldoCLqSbBWS7EEDCu7/O2s9atfbHdUh34/o4q4EyHGG9SR7vsAMG8HRtm/cCZyWuACPEdIbpajsqDD2DTVHptEJph4kDgXOdwngsYFnSVcE9AW0R70LY95bLCQ76mrbcuK8tSTUNABTW+lrLqGthUU2MQ03XdW+/cncbTMwX6yu7epnKmfpzM58fH0emx1TRZ0+iHR9cjRKbC31mIhucsNcwCYmYeTsjkmG26zTN1nGzgcPZvizu33rzy4MOX4hkr7X0ktbCHzqCT5COp6UiKvNAEkmFSp4dE/NmGmsPukdoeiZMeFEbjhODjT+ynYeKQyUvUxqVuG7rKqqr6oiiy1QbHEnmIzNBmxMynJ1HOxBo7NoRF8yDTGpBu0iRWDPFIyNZhSv5QyE1EuXXWQ1kwaOpby05tGpWVqvBUHau27lqfreg614LlEZijQH5QbQENEBUOdYsc7wBokNsG6q8mKfekW0ERYFijVhVbI1GSVodcTULLOMlHI2dmqollR2+bPOn0FJyEd+LaaJTZHLlAl0caOtPE6XAbAiLMfkhVw5hjcKqJJv8KUY5p0FoSYPWqampSzFJqBIut+Vu+a42Wea/ebWVl6SHX2Y8z6NRoQsOBw52lyHirqopivclPks3idLl/687dWwd3928vTg6qAjJuRfFK7IPNZ1ftQjreBWjYT72eg0LawZ6fnnjC3PnRQem0HaSN1HWzWZdVUUlLDqqCWGfw4JHlOqJSG03SGE6BWhzSfjz9HCNleGm2BG5gJbadqhC/1IKSl6VpmmZZWlTFVllu1VU/m9px7/o+LUJXUl2EgUU4IFE+9K1kNODee2IZ+xK+GeRIDNZIEHhBEDpO1Pd2Xddtm9VNW8ERu2mroGnjvS4EJcLxUM4RcIL/Iazb5ayOmuZJVH+xP9IzDgSDSOZdBa44CijREK0K+AJ1vmA9knqRzO5BOCf7/B4OoICYaZCAaRyyA1GSqcDzSUqYGFTo276qK8cly6euS5ar8wV6dxIFu22pWtcuu3Zel5s8O1YgOAsefq4YcXkyC/EMXjUYzOA2sBBR/onpDvy15NPHR8KypGOz5nXjAKDN7RhF4G81kmPql5bXFY4kgWRSkyVWWbNkxtCkucMG1dRopzxhTO/EtW8bWnNV2bT5Jq9ycL0NfeXM3s4cQm21IqcbfrD5jxRpJrlwtL+ZnoEPKcMTTlv5ucf+bPNtCpTkRSkLLI68U5tapaXKAwz3qqoPvLZ1HUIrx+cbzVGgMg27b7I6QopVS26iHnJmayJpVC2kg0ggrNA7lw0KdN6opIO/KLjMBHSw80YjxwZppZkXWJMhqlCcdJkmHRhNKZQFoMNAvdpul3+ZAs0Lim8/szgENaQOQH+SwJWyE5OlzjC7pvfWwvqasgQB45KYUQu4zl3bwRLo3I0WjEUjtxqnvvceyVPAWrEWMXJ5WW025WpVrk9Xp/sHB2+/s3/n8HR1UpQlEzaQNMhMMgZhzIRntElosISbeqSTB74fR7Hvk4kzLOcpIpUNeJRTNw6aZnI9psaU+X/aPkaeCw2fDWWRqNN4WCuJn+sRdM1bKr8+c7zYdpCTYjocsGxsRGVdwMgy30vTsrhQlVW93SAooA88L/RQos0C1gDgUHh1bzOM3+2xUSSbZ5HsHMM/kAEBR4eeE1rKa9oCmmbEzbRlURfZfLmqj7eq+bSJJpYbVhiSIauPsD30uWDUVA0kJG2Nhx7DURrEdfg28CIpas6kBGGO7KlQhVskKwm+CWp629sqbCtUTBBhEL/FODEiw6uaZuToddAQoTrj9w07+OJE3yINgPzX6vR0pa7dd6ZAO64T+J4TeskGDEggO6JSwabCdXZEmaSDgF61Ysd3toibgIZhjm6yo9g9mYuzpfKqTTO4xOAsQGlSeGC52yJRl2ASrOERmEgb7XOSl3ZvYdMx8Zo1cwDz0A1/yx5VOltMezXpRQAwlDZFHJeqpkvLMs02MLXbZGyaamIVTdYvW0bi1gKiovkW5zoL4ia8GG7quP6yo4K0IwNZY1QuzlOMZJM783v6I0Yh1D6ntlo1aqtW0xLWSKHflUXn+VZFYYM4DLfKbxCw4lLvDDCECnTDEDapqmtk69A3bKlAcwWvUanxQo1a1SqtVUo1uqLOncN0eh2nwkYcxhKaSC90+9j6g+OyefRHnAQeGGpWO2BiumJ8Q/mqsHqFJoXEdWZAZKTQ02XdNNjEHOA7TkxDOsRCc2uylTlV/HxpNnVwCA6RdzPcCePOMIajhAg9/jwmQ2E42ZZVUxZlscmKZLleHL99++7t/f3lcpUXWUPkGAE3TFePLOih7p+FaSUuq+st13Pns2gyCYPQh8Fb6NvIY3edAhW6KtTuXpZtik212dQFOKKiRCDbtyH5Vewy9U9BCL7JecNphk4DbefSuJUBGBo7EbeC2i6CNi3VIz6kaxMIBaqq3ORtWVfoapuqLqeTaRz1ivRBHpyM+BHQzRML0O9R+fXSFw7Ln5FAhHl3ju8GSmWOE3pubDlBa23wXtoeAsyqr4rlJArzvDx0kihKbc/xfR/0U+LModlCXQbTowUDoSaSUgPWE1R2uIMlWl/cVaLEUAwGbe24a0pVVYXV5To1SduQMIUobbKxpBpBRU10qijEDaxu+OQA7Bk/KXjQdDHREtoWvGHPrUq3LLIsS7s82STrLIeGGx0+k1IFVRfljOmdZYzODCiq4CaBhWnnHpt40IXnOCiW25qyAzKF6uu2W6yS5GQxm83K+RznNRzxWljaDbpV8jphrErUSMbLCYOmMwIqnckz/kvUYvoWplgz9UcifEQtSYcPvCVaT1XVNHZW1KuiSFfL1fGyKoqOts1zT7SczKUjJo0xp9OLxorP7WCP27RVSiXpQb8Tzx3BPbjIUIrxmSGieaEBQ5ACwKJqpkITK3lV4deECrRLmAYschwrJNKajZOaciplVbCyg0ccBQ82PaZ/IMwVBFxYkJ+sCNdOQIXDp6GM9KjXUKZ0JEjpwKtj7QkT1sxskLMHNaZMvyEZCaIksYo59wQOYZiQY4UA9pMJFYuwhw+dQCgWDeytLqw8SSqXpAYZ2phsBvHyFa8cWOpQ009t9JicMSyT0ThQ58AKD4fjUOUnOhOhyXd7DE+PBwxtizRX5KGQ8e5qs75zvDg4vLNaLfI8qyHJI6NHAbpxEYzTOW9CsinL9I7tMAzqgzy2dZK44bGlvKrv3DgEjNDZbY3g9dC3t3eitLiYldV6eVyjTUdbjwkBvLLwwnjUtf6RSGD62TGzTZRHpn0SzUzn59LNYqazqNWqvqHo4b7d5PjBi4L607oqyr1qq8NOZIVtG4SB7Vsu1Wh9HeV8OZgInynRPRq2waOK1a2oO/Ct81zfs3038Fy4yGA501COFJhNWWRJ4gVB4LhrZSv2ke5gcYUUtbquOiQlQZ2oj2ut1bU2naRRXcltCjCMgHMEcxBawchp3dUYodIlK9vOocAcLXcnbxDjdMk3Fym3HF7PKiJQ76hrQN2v27rq6vMFenV0XCSbZHG0Xi1Wq1WRb/q2QxQsWw2QJIviFZgXMByPoJQl3J17akE/EJHueF6IQ9tALGO1KTUvI4ig7/uiqO7cOvQm0SSehGHoR0HQRi3lrBtlu46tMn2wtC8yjNbqWg3ta02loSdzgooBg3UnLdWRO2AqmsCVkMJYNHVeFNWmKFc57MWSZVIXhQk0HT2oWDrmHA17X6zxUYGlETB7T5sGAc8h5/4KWE1VRLpycZ8wYgmDS7DBxVjlZjo7VFjiuiWtWuQqJton+HCtqkoVOr3vYOXCvD9DE+21yiaPUGLT4uFjzlxJqpOiB2cO36pB3Qd20RESTbcO/0qkuox+zyoVvAH9DrXLKOSCvKEKR4ltHDGuQdJWg5NYBx9OOtFzmByPFsxF5vO93ETNA0M6HGlEWYFiRqkmHllwb0p1hkwHb4AfD3Z+48SmkcGYqQQm20QmGHKlz34enlItfWfDHC3VGzXUPNxnPAEzoqopym6TFwfL+s5Buj5dcDgGOVogJEkm/oCc6HLoAx2Lzuggq6NpyEyUP6Npm1WSF5Za5lW2bqaLxI9ivpiUHdvk6To5XeHw11B8GC8+8LvolM2KR95leCakzXzELYT2AwrxwydhLCUGiDxBMCMWfd1aeJOpvu2dLsvwLBVVk6SbPMPpU3UuZSvOVQs6Wg9Xbo8jsaWJ0YMW8vgWwFkNDFQtpIZxPxxHfeA3JNd3e8peAMRDsC4WK5UbwPRN24GfK2HsMv+o29q2PLslt1nt/Y3tC8b9OChrb0C+L8qxAaGTw7sOmWcJkITO6g2TLqA0BMx6F9OSFu7kJE3gsQ+CR9CJ2uSt0rW9g/0AL31PaGy+SteLRZKsN5u0Qk/Pw3FgPJQhxFpZL4zi6WQL+zJ8a0FlCzyfdwIHYWuCyTQVZom+729de+Q3PvXonbdvrVc3f/7SW3ypvWjnyqy9ub9gP16uvFXVrg7TdbSMZzM/CBGPRhb+urYaZNn2wjhymzRvAt+rOKDXHIssf2fqLBPETY+pjvzh+tHEV5uiPnNWpM1/NomSDfgdfd8iWKDruqruqjov86LMNsny+OAgTxI7vO/zH7e+9t3nlVLXH//0fPHqc28dGP26/oZ217tf+vLnvvGXX4PgR688XuC4Ue72H3zx41/96+/oMTrvKywAPnNXgtnFS3F982ApaOe4lx5/rtZlla2qLEAQiQ0FNp41/kVcUNdCUQ5b5ebAkX2ebuutpIO/u4AVRY/fcBVeVSjQ2HG0PV1H4pS0o5irFlsCm9LIkE5/Is0t5ecHx4NZHHInNZAjvrn4I55e5p2emSUPt4laAFafSVuL8QYV2RGMJewAwlg70PJ4bijtA4v4WUJicKLzxBoZ2BrP+eHkz2dBViGee4I0Ts7fZvQ9OVeQDNG7qqqzok02TZ6sqjxv2MuCaMfC22JTKNOgsrKOiRTCqSeImUsWXci6rhfJOqr7Om+btIvijRNNSTtp132XFXm5SfsiTxeLIq/YEY/AJYnlk5GJbrk0i10uy3AO0J5uYNtKiLU4p7NHNvOy+fYx9x8vQlQvskQA6OK4cCDrOoCt3EbBVwBoMhFv3uVqMhptyb0x5BXdolG+CrFKHAgKe9fuEf17Zjl0PPtB8lMjnoUkO5Z5NYqnnO/ZYEBMKejn54YOUdEsXaWCCN8Y9Nd4HdcVvwYUXVh/8DsAXt9QCH1dFRZ2SWbp2fh8pw+iEKTADrIJyuxyOwUGd5EXllU7dut74bnF5SbHy02aFmWB14aIjM4s1J+4LiaeFKzgRZNoMgvieOL5fpZuKgz30J1Tm4DZJanO+8YFiO54/X0ffKw/eeONm4uHH7z0p//Vb/3imec/+tH3P/+PB//J59//v/2v//tB2n3ys08vbt165OH7rn/giS07TxpPNc2lvXma1R969H4fHsTOfBomy+Vke8dVbdna00lcbU4tW128eGGdZIHvl0W62hTRZD6LYrtLw3g2j4O8ANnO8fyyakLg63YDFL+CS47v5pvUCWLPajdVO5vEvmulWW457nw6OTjYL0p1+er9u1U1TdPD5frJDzx2qdjE8wcee/g9/fGPvviHf3LR2zxzs5rlvnIv/Mv/9j+rTu589Ws/+vwXf+fGM99936efvvnsjy5fvf9zX/jt73/7m/3s/q/8/u++9syPn/r9z6XvvPaNn9/90m/86n2zxVf/2vrMl//Zo5cnP//utx77/BcP3rl57crl1579h/n7P5O8/nP38vuv73rff+7wn//h4y+9vjh947mvffdng+f/PR/8XEPO11HQSY1V3RCUvGlUEalIqamNAp23yiH1tt8BLw64BXVIxm0JWAHhSafWjci4Qa2jBpn09fiVk7Ic/6WXo8k36rsRhnEfbf4Gn0CMKKCroD9jCCaVlIBU6VM1nZAKxXlXLyoBpr0VIjOTNzRBh0KdJStLG/jQosT4nr5hC/kenfG1ffFwzuFX4UGlqdG63PK5z3yuduo3Dn3Djbj31nAPXDU9Ql/LdrPJyk0KMy8aCXGSHpV9UR7iArKkgN8S6p8xy9fsIGYR9n1ZdyVcflWSFmFQut7a9QJl2X4QIta776s8r4sC45SmJpCNo0TlAK63EE6qtuko2o0yPkmALSNFlkiyIBsVB1JrysA1gmI++tAhWfhMrITMMnj/oH9Ef4qdFdVQeCY1NWDSt5+76eaPNo0BRFQt6eLoCFwMoHGjfNcL4YgKZ3Qbq3j4cosyvdnNhns1ytnAXkeKedEn4g3hXAtaJsigUM87YRB0FAFIwzbHd/DEVGVlO67lWV6IlOUWcdJNGASh61vITwCoBbUe8sMV4gE3GLGB3efbTuTF0ziKQrYHYQi3b0CUyLM6T/IWAXvF+QJdbjZdVaqms9EK20Dw4UwIzQFCGZF0Qmx4B7kDjmtFgTefXLBsq+27Mq82WQZ8vapxsAEFA0sC4Se243qB6289eP0Bpzx46Y1bH33yY5f3Zi/99AenlROFftqGv/d7v7N/stmr3rwbP/7+a/att295jrVO0npzXIW7V3Yv5EXmhpOt2M+reurZp6t17FLDWGSO5yWr062dnVVWTCfh6enqwtydTePFYrm7M0feOTyQQC9M18n27k5VVFHgJ8lmPpsqZQWu3zpdkSVWNGm7HsiK8r2+L6puuT4tW+/Fg/K9F7e+942v7z303k9ud//+3379S1/56G8+eOnld27H1hHRKCfd8rUb9Xt/61c+OJ/tfuzpP3DvfOffPvvqr/7pfx+vXvlG1X7gkffP5zuPf+SJ+ugX2eyRz//aA3/7F3/+O1/5tKOsS5e3vvpn/+9/+s//oCpux9c/EuT7Fy5eWJfNg+//yGNPPPHya6/OQ+cn3/nGYfiRDz1wzXafA5o1ErOMWbmi06MWuGj12NQG8jDxAXTMLYRR+SC6q6hVfk+/t1C4oTSlpQ+9CWsCO7Xq0COnlLEC6IPaK3CmSea+6dBcQ0lI/krM92g6gZ65KLNxHVcvIlsz3QIvJac/i4exkn1lxnVyXpI+2mCh3Zi0Q1ib1bWNAzEvm9SgagxZM8IGYTiCyGg2GG81SH8WNghyvqcSN+K3jOuyZhxr1IW/kIBIXb+EjkaHdU2iHJz/tZEZSAIY+iNqCs9etUmzbAUMjYxdGN8UH1U+2utgKP6ZRa84csjU0zL8XQOrDafqWlhsNy1gZWtDTTGFOEkCvXCrOVOBjjpUayU71aGjlNbSEcDGvA4WxbJ6hV6P/sOBIYz84NWFpo4PbiKI6MiQGHXpndv36/WaizUOkY5QkIkVSE7HgQc0mQbtkphsDotK1CFDO89HMbSsgAeQQ08BK5bVuw6O3n1jdyD9w/3Itn3oCEP4O/Rwt8cJKkQ0E1KgmtKCqhaGU3YQuJQQRIcAqw3DEIyTIESWY17YRP8NXd9xXPhh0EqMZxNMduhUFXh+GPiWBQdNSLqxOcGJMCvy1Sqvkb9BETcectajEMRATFpc37KtqqycopzMVbuHOU8Bn7GzBbotK4BHdCE81+2DoLXtprHathlZndJIqq436cbqrekk9j3fc70ojJxJmK7SIt10eOdYsixLWR3d/NnNF+6sZzdvuZZVup63STK7PJm971OfaS+p5du/ePUXe7//1He++WfXvvyVK93iR88un3rqI6dHd+8epG+8GTiTNE+y3e3ZJk2XgaeavLODrWmYpUvyhfO6pp5t7RR5bll2mpe7O7Oy3JR1sb0932wSy592mzQKvALH8DYvMltZeVnNp3Ge5WEcVXVVFvU0mjTwSK17u7KbZrEpV2m9ycvTrH39jePX33jp4gOP7L/ysxur6Itf+OTNF354ePoRZ/HG6+8kH96bKZU+8tFfa597/qc3mo9fWb794k8vPfqJpz9VP/O1f1NZ08tbIXzQi9XNW28rf7m2usO3Tz73B19Mj17p+y6YXfqj//z3f/x335pfmb94650v/dqHX3719QsfuGK57d/+4Oez5uTGjV8+/se/r/YPey944rd+b/Xc3718hGQyYy8phUDGOKiV8EtqqT42aoUNl/gVjSosmMnFloooUdDp4cgRUR4gnk4xQwSssW7ROANibkDay1qqv6yFIbVERwWaXThgxAEdAvXII1IgOyIxuMEuMxSQ7JD4EKXZsZ2i6xpAlWL7wz0pV+dRiImBOEdcNjrXMZRiPs10TPy5WvtAkwUJg+MEZO5V6aGUIoy6dR7zo/OpQFccXMJUN7GllJ+J21gOV9Pv7Uw3zbhBUzdIG6rKosyLTZKdHOdpWpHdhvTNgihIEFSLISEaMZOSpM2Yzvi1EK2Cmk/aB4lF3WBGZTIBRtkfQK31icEkr2gJhg70IGmyDFcESxAYdkg8YAM8rAShrxsFD5ANnu4Sv7rr8VaENW5ZVtNssg3QBqv1Ase3YbLgsn8QTQQsK8AuTrmvkik3jGL6M3eHbjndZQIlbHjK+q4z8cNJEGWYkcLx2HK93g79YBaGzvYsFBlr37ueHfi253uh6zaVKgsoWyig0kJDj+EG4O8g9CdR7KODBtsZi5OtXTjNALXelYQ6cqNirxCy8aFG37Kquq6KIvY8N0LBwTfperJOVI6LVyFRInxC/Kkfx7Hvur7nu46dpOv1MjnzEz/99BcATRAHg/d7+DvD7bnE4JbAYgDwLgKnbNeL/SCOAtd3J9Op7fl4tvM6TzdFvinhuNTUeVYREQI2e+KRyFqvHrCL48x2r3jV6r4PPrlVH7x5dx2FIHJ6gR9O/DAKEWvl+5Pp9OLFS7u7ezOkwcdRFNE4APN/G8iSPglTYB3gd7l9orIV03dupgiWpD6IrFtY60qAVNd1ZV0lVVvmm6Ro02SzXCwPT47f3j+48+rN9d07ebYsyk1dNS08whoUFj1G6azpRz+899wLN8hvnmXuQKy4CsgaZycxUh31fQcvJ9pyP/SJX7n1/M8SpqcNjC0yi2Twk8k9tPov3/fg4u7NkpjGshro8zmeS0YVvQotNbfV3FVxryaeil0VeAj5jmzl9Yj6Di38MVD4zcSm7CsbBtiWg2INoh5hFzlV57xBgSYFmdRciiyCZ96mQeEGhZmoGxjb6fpEpA96lG3yOsJwGWMXsl0GENgBAVWlgpCgAn/U4akqy7q0GETYOqbschsbhkEYhkWaoO/HM0O2T7BXYFYeOfHbxCkiZhEtXI+N3T3fvbA9e+qpJ973wQ9fvvbg7u7e1nxrtrUVxLH4qgvvRlOvNU+eWbqjD3FooxqooRgpg0LGIDyX0OeqzjbFcrU6Pjk+unvnrRsH//jym3cP3qzqAh2WSLq1Jpi8jEYnfXEs49kGY0KC+xIzSlonUk5yX0y/p45eHLtGfWeHwRfxB4znIgySSCEkHAzz0sTeYo9cHl0TJiCjdQ56lBwERsOFRUo4gfjhkk8gUbzYUdF2cb7357NoZ2/36n33X71y5cLe3ny+G0+ncRyCHeD5iqhfkr3Ae4nFP4Q4ykr4jQL1uKqaLMuSZLNeb5aL9PQw2b99e5HcVFYDxNt2vCh2/ck0CqaTwPU94AFgOqAAICqvh6VwnhcseKBqwNiJZblOCCuREIu3s8rq/6PrvYPsOq87wZvDy6Ff50YjByKDABjBLAaRoijblD2WbNljqzw75VDeWs/u1lbtbtXs7h9TNVO7U1ulsj1OsmVZWRQpkgAjQJAAkTMa3Y1GdwOd+8X7bk5b55zvvn6gvBAlASDQ/d59957vnN/5BTdZYCA7FjQmLNiFpIDAnU2oG7iQEyRRSgC2yAt8FzpA0JWgbU4Ih5MEudeaqkIvDy083KOA/HDRubMX6tXGfXajREAXyaERPuNAlITAByUSBQZjgxaDUjwK0W0HMiUlUbQcV9GykqZFUSRJgqyqITx1wHz1w1DK9T7/8O7jH31Qb/vkJRVFsahkK3lhpb4kC9LUtfOqpmSyWaiuZD+CUdmoXnHBXd+LTMMu5HMjo5t68mLDshVVkWQFycRshcxETSBBAARSlkWkhSN4h7ehoshwVkD2RAI7sp/BowTuSKqy0nQFzq/Pz1Zb9uJKzfeDqN7QUylZ9SbrNhChcKHwxTzHsHHpSmPNYgK7Nwp8IyQTTydmPE/uXMzxhedvnj/PSgG69TCXWlgps+ecWib64otzs/Q7/6plB2MLIJcDo20xnDvAwRXyjaHKCzjHygL8o6JHki5C4RYEgDuIKuBj8YV/QqjOEVD04auRYT+FVIGgHDtoxsTB40FMfJ8JfWbuIoCfgBdzROQs2szgN8LItC6rKcI3UB/XTY/s1vgmb5rJzNDLhi2PuzdHWCkSigsWD1JKwhjA05IKxALUMrAYgq4fhG+QVJ2S60CK+EVoGRggWAcTz8juE7azA8U7BqyKPM9zXNswmw1nYbXRMOoo+gWRGot4YhaVGCLFxRL0ZYALd5LD124GJG+jHG1NXiDQW2TKTAJ04JDHP7x2u0ZrMlq2HIc5Ilnadsp4QvUDWJoqLfWM3c07qTQpQ4tiGxNRFo4kIXpR40lDCzk8q6GH8XnfAJoy6EtkWZEVVcYk6ECSPDFA3Qn4B7PWGcFvvnPRO6vyJM8MXh8s7sCGWpRitF2VAJkQtVQadmaqllJUTVfhUOewMeIZnwpeG0TU0Koxgn0tNV7UwUkIK0dSBMiJKKhY32QJdmtwaROGLtTk5NoS/w9fJHhYCSKZdKM9uStA7xtBFQcHarrzkEYBfHBZoc4cmmrGBfniDhoyM5DHg8A1HtYiDwiyiIbIcMLAZYeXB5EyoQ/b0zCUJYn3Pdu2JVWFCPukYIoCH4CbkrTj8FMFYS5Si889vHvswpnypt18Y2ZihevvzWzavV5oLjb4QlEwiruf6G3MrvCaGjRlsJ4zAAAgAElEQVQXmsHOXdtqc1NhqjcVtHytqIvOzPTUui27l2am3XSpyEWCqMaB1XaiSqVM9pdLq6uVoXXNhZm2z/cUs5ZleYB1RaVivm0GPYWQE7Xa0koun527e4fTCkWdn685w5X87YlJm9c3DRRS2cGpa7fvzIwfeualcPmdqbD86pP9f//PRx/50nPciRM3J6aS6Q+uLO1F2UNOvRPrSGhYxpBoNDakwTFJtEVDRXrC0bAtQVo7ZZt9ODSO/ipPt/N8dPHvWIlkWfcUN9UJBsS7JgxwX4dVh7SLpMBXBPAdlTEIHFARNNawQ0CxPXRJgMUjcPUROaZUASzN7AxA8x0w4k2yrOknUGVw2wT3AS9E0IJAbwvgH/h4AQBM74MRE8mzOZmYO0nOZGTTOZM6pGPsxki0QiAABdWxPpaoA2Cl3nGo69ibAIFBDHxqJJMw9i46Y/cVJvcOaqzXjMDYRaeMVsb57FaBwmVNZB2se4IcpggUKm13ccVZqjVtx/CBXcdt6/Uf3WT+1ckcz3G6HL2y2/LD+NgN7eXddhhyb1/VTbdDXGCvC8dCEEFQHUkUHCSyZY5RyW+CVBk9M1hyBFyXxO4pmVGgM6Aiw4i7CWLCupf7m4GORjihpaOZBgo+kts/gYjxl6hCQrwbHTdA1SzwgR+h176h16uZdEpVNAnyoCVO5uUABp6O21yn9vE07LJDM3lHhEMz72keu08ZoqUdCZSFipZKp1IpTVEUVdYkWYlFARS82PCSzF3gRZ8L4jAORQhPIKPpznkYQamDbTbs3QQeDPJwRCBbBDqKiM5MIYrgSEb4PDrsMQlIwj1h4BgyiQiWgduTueglrjM48VOh/ZUCTX9ZxLmE/EphJpWByQ2UdwhiB5Q2BtwbHk1AqANflEhFI7gooBQhxoIU0nSXiEJw8+rYkRdfHnv/g+dfeiGWxB/9yxkxv23dyPpSD2eOHt4uaDcvfOB65uVL1wYOHN5/YN/KmYmgcW903zNq89Y7l8Xfe2m46QYXzr0xPTt1+9RnB599dnbG6dMntf6tiwsrnlnVc5WqHbenxluRNnf91qqrHdq7DjTKsaBo6XtzTU3iGoKyNDcTKekTH5/at6u83LZqxnRu/YOz86a1snB5Oe0t3p41bu3bPuw4mdatS/1DQ9//u4828P1jkzf2Pvaw2zZZsi82PF0BBWusNzze8OQnjmQC25EZD7t5KfIdbzDceTMMpCN/QwoU2TCsVYr7ajRrU9Zgje5/AzHYiKZ4MVRealeVGMxCJbw1wNAZm2skUcLdLoHNF8vnBhYg6gkBUMalDP2cviWF9hDujLsp+MMs6jLp3yFnFi1MFZDiSqEI4iDsNeExAmUmbCDRhY5tn5LHmqZDFk6IZj1dUpBu38mEFM4uL82VpJUiYLWTN9VhqKKdOXOoBM4EGizAjJdcP0Zy7jxDRGbtBge6YBYGgaJAIGF4M3AYFYD0mLG4a+jCAhQcO2Gj7dSabceEjEFocuJ4YkXaNYjKr5gbqvhji6IqR3uGvJmq6AXcUDG4tQh3FOONQd+G9gmE75OYkTHE2eGRxBUBFoREBVw0sqrBsriZjTCdeajQRqNAKPxYs1AXiBg8en7R+ycGROdyYGNPoi62bOzclQktnTXdrHmhvC4O/C8RV/DiWqvFS2Jaz+haRtN0VVMkXwokX5RE8BEBfCAxYODYvY0lr3O7keCb5A0i4sdyJEScqMiCirFddFzyGPOCDD+40UUetSvo+iaEXAgrQaz/0B2juztjGuJaNAxjUYQJgJzsYPVHgSUgWUAdvSTFIgXPw28AcAEiFNKrdRxb4FoqYC8EtRHFiVjBWc535Ie+iKOGyIuAgXCRbf8KiwPjxdAurEv7iiiLFEWQMwKjAS/yPnhpojIKQEWfnB4B6IP5Ao0RmE85hNh6Xuh7Zr3hzNUfe+JRq7ogZLOttplOQYKhadhVOV9bWXz8icfeud44eOjh4Q29bcNcXqmrjaqT3jiQKwykGveq5vilMxOzc+sWF29cu1nZsuX6tZmXnt3vzE5evrRoDwbp3g1TtTiauNKjjFZypdsXxmbS9rSR3azMjTk9D5SEiZnVVLT40ee3Dz775dG+/OSVSxNN/ZVn9k5MTKqhcfzjT+tC//DuguUEy0bP04eHjr77UWXXw5vzfADGOuCqMjI6OLW4lLhI3kdx7VgEMBPopJlgcfdJmaaVDN4BwBBnwxqpZJNCnDQhHZ+P+1QqX6jSnQ+JHg00WWC7b6q8IFLEZwrSWnlOxFBKYtTSN4JkbhCkMlaZiLWViG/EKGNd89rdwLh0ZLgB5I2kn+kOk4ZaL2M7I4mBwKOoVJChfgY+HPSRyIUyL/oB3b44ahDPOpFHrGmIknUR4azs7dIQzagUDLTuBHOSYwt2mUlqZ9IPMkAAoIPONE4+cTjKsIVjgpQw36ukHq0B4iwvimy2OkELv2InzcDHMIg8D5j1rmvbbdNsLTt2s7MWdKHVYfAAAv3wCZFuiMmaCXlnsxUO9BQWzeK+mGEQRhawFSazVExo6eQQTzIa+jLEbgO4gTkkwJzD6m/i4kq+mHQQsO0N89PucgZlGBEFEDC/YzLdF9d2niASBWUHroygJOCbgm9v80rLbLaMfLaVSul6SlVVJZADKQx5EdA4YuJ0HoSYaXKZTTSNLlijKd4b+2dVgcUg3Gph4Aeu5+qBwsiLZFwFUDPAWyI08+R+Ap8Abe1AroL0baS8wBsQoUWVwbtTFMhDOI5jWZYQbgdddoTsaRFsTlHLhTeBCJeX5fbwAscMfYDCA0ZSrg9+HzDQiHIIy2pYG1IWjucA8zLwg8X5lWIx3/3I848/8RzTxQtCQFgjawPCOHRxRwxKRM+FeFj0bQIHJooOwkEWe3xoIkB3HcdxStWbRptsbaMwUGSJ0i5pRAK/fPykNUXjQEUTq7IEjsQAp4FqCeB8WUZjG0EWBNf3carF+HFR1DRFxHGVJxdMXgzw6gPpBtRBILWEPx9Hkiz4roeoEQzasgTwNBy5ceQFoaYpwA6M+SeeeOjTT05xcWy7Hq77sDWLovTQzt256qmbCyHMpKAdxZOM7XNYZmfHTAptOhJaKLJZ8HeSag78X5B3UzRXBOFRnVw9ZjSWlLmOaqBjZMYYWEmuJub5JQBuV2KWKHBpScqIQlrk8iKXF8I8H6lRrESg6g58IF24ITKdMeM1FrqSuWm7k2RSU32CDjSpQ7DfYyae7B9KGmRtHkLbisyJMvCeRFmJRCEEPAq6qiCOXDjX8WCIeDMIQIKIjvR+xPuo80MJydoSjJWojkwJ36KKP0zTlEH3i+MdMUnxAkFbgnVZwu0g1W/YDqEcQJbFYjG7Z++unbt2DwyM9FR68/gjnckQrsJYswnCCAws5i9BcAzpKahX7ZCyiRm21l+Th0EUha7nWZbVaFn1Wntx/u6NsXs3bl5eXrrneTZRZcMweOEB+93rqe193mJTeOEBJ4y4d69rr+yx/ZD/5RXN9aFpRklkyPwWkKqIQkNCdlFeCoMKnlHkG8XgWRYUy5zwk9LKmHWYIYZegCTrgT+B0d9r5G/8BaV18zEvMeZ6lwQXz00sATj+dPMUE5YL5K7xfIibQoj5JaAcOMSymNK0vr7Kxs0bhgeGKj2VXC6Xzmb1FBAnZFlN/NHYQUQGkB0WCsE5IYRA2xjr7LUaRrVqLi5X66sLrtuUJC6b1Yv5LO0fJUXmBcH2QhviZoMosEjpTltk2F3hqY8JvKTPBhomjzCxIIpRCOXY9zx89TAtmw5EZEPtghIF/a/rQY2CGBUEB8FZFr4sNCUIinoxfJGAdoVQwb1YEKUw8ECOB/FyURyB7iXyw6WFe6Obhu5bEjqWDX07Hh7QbCGlIwZvKrDso/RDUJ0DyhGDeh1N9ZJmj8wwaMbBBYXAK5LsOLaip3nwLPEDn1HHCWkhnyeOix04Dfhypcdot/M632g5EP2napzvB56vptOxY7psgxxmM7phtEVBdF1wd4UhDj2Pohjz09hSJ1RSOZlrWxZG+7iEBrK1u+/AM8cgQi6WVDn2nYDjb9y86bsWJ0pB4CUyBDgmjLtXTuIHRzc3nYqd21dO5fWw3bKBpwLVVtE1OTZtOA8YZMRgUzbriLho5fi4p6dSXVmUVFUVItMBK9hk5CSjfex89ZQQuJidmDwPlMGqpzmgTaYKilc3nERvkVRqTlBSGV0M+SAIhVjMFzirDpqVKAZSkMTJqFLB9RA8Uh4e+6zaIrJBj5rPccVKpbmyAgl1iTUdXQhK2KKIbipqaEHHyRKniBwogmRFz2ds10XvXTWTUduGia5gIS+oGV1stl0wT4edneSC7QBG9DJLNQAgZVmmMDHqliMUpXVMKUh62nl0EwSJ1n3k1kJHDIZeCBJZKYe4CoeeBUzE4FSiQEREGIg1toZ8JoUBUMUEt+0eWqAgkpC3e43X/QOHFcAxsTny/DACCQJ4FYciF6XU6OH1FvJZ4q/sNkUh2tIbe9i9PL3dgTsyjp/f4axxrVllY8xuAlISPhxuvdDYBM0q2DhDDXT3/IWhYZTeTZYE7FRfS9Qi5nAScMxoV4lqBR8xttOmv4m1fG0Bk9C+4WWSqRkeLWxAoY44iWWBj0sWpVzOLsvtcnAvYxUVoeKnHpcCT5LlRJrbgeDjBIlmftHJp48LPUKiJUVT2hoszmQniCA2qQ1xUzjJB1DseM5yAzsESUjs2xH0cxLguAjO4s7QhU1eABZPEYRvEhUc+nPwQXJDPuYDRP/jmLPA5TkgBDAKYCyOsUFk1jZ01okwNNAgGPoRHwXgdou7Y6irgJ8Atowll9kXY4CkZNr3ceygQFerq/DOsefAeNAo9ENREKlZxp4UG2b8FLCdRJUSZk12DB5xa4FWnHjvhkG468kX5bFPzi8rzzyYP3c72FHxPr9+V5X5RtsRZTWjCrbtR7z6ykvPnLi6tCG+89mtqsQH/Vt2lFO6PTfZ+8RLzQ/euFo1oQjIxa+99tSPfviW7XiwYVNViB4M4rQmGpaTzuZ81wEKoek/8tRzi5+/Mx9YbsCndVkprV+fMc5fn455MZvPuY4nCtzgzgPc7I2R514a/8E/tfoe+JP/8M2//B//z/zmkQsXrkmy4vtBKpW2LDOdz1mtRhALmUy62WjwgpRPq03DTKVUo2U8+tJrCx9+X1BSrbalSlxu4+EHy8vvnp0RQscNuFw21Wq2Mtm8224GnJTVJcMOcinZcMSvvfrc3/z9D7Y8+NwGfvKDi3e5wAliWDwCYR5mAzGTktcdej5155NTd+pZXW6bTi6ft41GIKgPvfg158KxYNeL0pVfjEu6a9syH5m2l8lmrXaLl9U9T71cXjg7Md8WvfbOX/vt9o/+yowEUVFlXt9xeMfNDz9RgOXuN+wwm83WW3YupTYaBqdlRM6Dr5PJmuC8M/z0y/vf/fHx2Gq5sZAu5B2jrqTyvG8BLRCi3IIo4tRMVo49SVUCywCNfuxFMa9XNj/z8r63fvALPZMLpOEnni29+fPTakpzmg298sATe+UPT94WrZblx9lctm60s6lUvd4UBBk0RJZTHt3x7JOP5fy73/vFJ4Hvuj7pXdYqMnW5HU3d2m61YwjBhmDm4oKMMKTW4DISBsykGjFjQuybupGQ5PuRmu5Xiu9aBU/KUrLhTb47Y1hjMkoUw8CNlkkewEJxLBZ1f/+wd/I2mNWwkzmpkWR9nVgbssYHYFAST8K7oaeUFWnMSyWwA0/3BFijbHu0DGKUEvYCKUOrM9ghxtPBtBmhjW1myYiKseYowJAskhAKXUuK6lq4ItbR2e1SrWZm7MmGgBYCMM7ykRDKiiersaRFFfPUcvAweq5CMymy8L/kGief9dokwJaaROGDXliSBA2owJoHm1nLFjnbEluqKYmqJCkxzsfA/QUzVCjFHBr/I58P9xlAdgbLAdyveqjwZLbaDuYA0AknYIOMkSiwSAjDQJIE8MNDMROZ3qETCLSyqOmhAG8YHzCOGxCPzjaF2huGnuAswmO7/cUC3Wo12blH7SOzDaJ4ILJQST4B3F2yCYiiX9i6rAPddHIwQKy37/EX9ki54aFw0Z547JGh/c/21RZWV2+f6D38ev3iu9U4c+du01y8s2f7jmvn6v/+D55VM/nrc03V8guD6UVJ3fTMVx7NZ+6OHdc3PDcykv76t/7gzBvfvdkq/NEfPv/xeyf2PP5c6PtzY5MPPbkjk+ubb1jH/uavRwvC3m98+/O3fzBtZX73m78+ceHy+hF9tR2Xhh549EB/uXdkvmYszS9pZb4BOXvRzv27rl++ycXqka/+bkX5x8qGTbdauSPb+u1GTdQC14+nVoI850fGRKvnwdTCBatv//bhyq0P/rmYc9zHf/NxsTmy/4Asxm+8eZLPjP7H//i7vFP7z9/52Td+73cXJ8f27ej7zne+++t/+KeltOC63K1Pf/HpHL90+/rv/Ps/VyW5eiv68z972fQ5s9GcuOdvz83ZcsEtbNVcf11feHT2/Lf/5FuRH45/8lb/4dc26sum2idm86cvH98zIJ+qPfHvHhodGO5frLXHp5bKUihEdaV/u5rOtHj7j3/nCGev3F71tQ07czL30Fe/fvPoWyOPPLEy19z7wjN+JE+PzRZV48zZqSPf/L3pU8f7t4xI2fzNW+0Hdgzd/exHE9Jez2h+7RuvC4J74nz16cdHgyCXH5JDN5ieMvrL4Vv/9JO+0R1Pf+0pUe9pzN1r3xvfsPcBL+Du3V3tyWmlgrf5ydcffWhHa6XVap597vf+e3f8w/Flz7UVjo8ffP439gyFb11s7B+U1N5hI5QuvPmPO1/9dm9OfeNv/suF6Rv39j1ojo1/49/9RTRx9G/f+jzpHNeeS9YPdqQdOF9gKUZMAhxzwToPFvAEwWLgBs8LEFoBfjTUXuB82kloXyu6nR0BoeRrMW8McCdpW6eFJ6iFfrlGC2EpSTgF4CMb+OBhi/7CPMfXLPH4uJoQrGk4IX/0JK8WdmJSx/IaCzSUZAn6PqzaECaCllEYtyRIFEHHBJWkDWdMOAalYecJiD8CNGuPM7XRoApkC3BErtmumyko2d6NCKO0xk3UMIza2KGBIDRKkQDEcYHWEsoLEyVAScW9nZhKa0N2flgcGNF6BqUJ3/V92eclT4I+BdzCWWIg96/TmegqIfkdICBsqHH/GXG2acaRb/CxAt4Y4KYMwytYNkKNpiglREF9ES8keHADjCwiwQaThWMPXzYQ4+hugNoNN4fIg5kdXBT00UXJOwtfB5FYAF5xzFAFrJuQOYuRIHCpwO+WhnIaB+AQRw0XAUUQkQEv7wvvEmp2EPge8KkdF/JrXN9zQsp+RzgjjALwwfN9aK6TCo0/JXySbVSI+MLo83Bxvc8++iSWtNmpiZWGOXXrRq3VunDheqnS89G7b+88/NDMxPiO/fumJlYH074jl9zGiulxsiiHvjc5Nu6G3ifvn5S0VK5U0VR5dW76+my1VCqVegedpcnb96pS2L48fjeb1e/cPHtrfPLE5bkHDuxauHb63WPHDzx8+JHHDk/fq6bU6M74WN10LMeZuHrm1sTk52OLKdGZvDlmeZyiZTfkvMllT5al5szVbS/+zr0rZyuV/K0Lpy5MLMzdvl51xIGydvbUuXSx/Omxdyo7DmwbLl8/9cGSum55/CovhBcvXOMC5/2jx+qWr5UGRXP+7aMfHnz8SHV+njdnPpmwH96/IyP5Hx57+8c//tHGg48+emDn1Wu3dc47c/ZyqJfM+euzjejG+OJXHxsqPvBy9fZF124c++XxfF+vkkqpUfv8zZl1+58cllaEXL/o1M5fuZXu3eBVp8MovHzq+Nj1G1en6puHc6dPnNJKA3LQOn/pupTr4dpzV8+dUzVNLmXElHTl3MXNR54yq/caruI3plYbXiEb3zv/2fYjTzXvzpUH+sPqbOCGA32F+TMfTU+u7h4R503l3uWzoZRSpGj89HEz1pp3rk4ttlQ/LGQ1yBb2rPbi5PSN6+Nnz2WHt/qrt5qOMDRcunf9sukFxb7y8uSlK1euC7Jy/oO3RvY/EoPxcaQP7d3aE0eCJgvRrYvnQ99ZXKlzspTThVMfHTWlrCooOwfk6/fMdLT85omriRUl40p09dGIAif5rOQPwe57fLKp6NJjQatTrNOwxYSBE3beaJDbgV27rLXwLwOBMCGqdL4v3uQ0on/hEeqSI3aMsDt/D5r3qOPSxXxCqIPvRBgwB9XEdVHgiUjLXK1B5wHKOxjoRTBhE2X4JbqZQa0D1QMg/5KkyrICgDuYvIPVAeqaZRnMx+DPyaKqSIokyvjzBIcV4C8ANMwD30GC4ghUMcC0AYZGA41kKFlTUbIcMgY/MJk+MwbG4xKOCahlKLMmwgztQMEjCvzWvYZh12rNZqMZ+IHt2IEbRl4EVTTyiD/IJ2dmZzxiehWWZSsCUgBem5ARLcqCpsoQoR2AOMR1HNM0LbNttBpmq2E2mp7tRq4v+CGw0622aznttt1uWZZh2mbbMuqeZXpWO3Qc3/Ecy4J/HNexbc+1fd/1IbzDdn3H910Qh2IAe4B7vwjQYCiTsBrGsgmmeiFAEX4A2xaou2wxCSMC9eG4mQri0MdDPEFQOzyB5IeoKCpzGEwGtA6HbC3SAfMYGPYPFwX4Sx10jgjjogTib0mQNB1C4B2j2ahV792bNMWKPXeDL63ftnWLZC4c/ehUZXhzdWaC0yqHdvbNiyO5lZtLVWvj/sdGc/Gx905MTtwe2Lp55sa1lWrt3r1pS6wY967fqfpq+97lu0YmmF8Iyr2ae3Z8aX0+Onnm4vJq487M3NLd6Z179pw9faY0MHLn5pWbU4s5yT5z5ozWu2H1zo17Syv1emP27sLC7PTtscnBzZtvXrzSt3M/v3zz03MTqhpO3p66dfXKjYmZ8bGJvnVDLcPbv3/bqffe/vjz63v2bvnwvY8zlWFvdfbtY8f7hwdGhgdPH/94fmmlunRvbL7Vm+ZvXL/qt5euzbma37xwdaKU42/cvltMxefOfHZhcrk/J1mRVJ9fHBnOfnji7MxiY9v64vkTx5aFQWfm/OmzV6bvTZ+7fOXGtfHlldV6dWlsbKJtNS9N1Uez7rEPPhFy5etnjp+eqK0vcEJl8/TnR6fnl2vV1btzi3enb587fX7ng7s/fufNm/Pm1j517OwnsV5KSdbC4nxPDydo6ujOHa3FmyttVYmWl1opaeXG5NVbdrPRWFzNpaOpzz7LP/BYfyF+96/+vrxh1HW4rGKdf+/D/m2775z+YHVxqVmtrszNLt+Zqk3PutXpqxfH9bBRr1WdRqO1MB+0Vo2lW21pIFy6evn8paHdu+Ynro9fuqSW+1dmLy/UPUnNtebHb16/brUbvmPV7eje+NWZ27cb1RVTqTz20O6zJ459fmO2r5gyvNiq1xeXF8xQSKuKHDuLq82OmyXOxbIsSj66pDMEA//DAmRRswYYJ+bu0W9g74wpo1i/KqXc4EBfNl9KpfVUSgcBmwJ5o4xFnHhfJOWYAPYO/sEqBmN9JdvZDrWhsy3EAEIkQXue7XjNprO4uFpdWXAdJ46CghZt7HHPTSuMlwmQIEMzoB1DcSByB/EoAJYvk0yyWR46UEwUwf8jCBa0HxK66FDQCBRnBQlkMl4PtjiFwgw/I64uhW+QGhdz3PHiAWGd4t/QDDNh0WDfjJeow/zuDDCMUsPk4vSBUTJxQsDDQRzrCGPo0JcBeEkQFZnfkp+fj3fIQO2FVwa6ZQwp59YMsRmIhVMCi+VE43zOD/wIQ54t27Ns2zLaltEAJIH8VambBa8YOOSAjc9AbQk5K/DvgeDhe8z3C+BcCLFCkAqrbGcjwt4wyyfAvpneHYpcBHBWRy4OEg3BeA6S4+megZ0HC/piywWC+uk14uADPFOBFxzHGRgcJId99sbz+WJXm7C2j6ZSTWxTvHsoaQV8Q0RRDEPKd4FNiySBbY0kyZqm8VEsq1Kz2YZvD4kyLHyE4+JMoaRJ0WqtRXoWUVRKhbSi5dQ45CWtf3jINKpNwwJZNd7+zWYzgAUoNO6pQtGpVV0SFzMHADTxxxer6LpnmaksQKgdh+UEwqJxgo1v3e9OSaV533Z8uuOQxM6yNCJB0jSJMy2XLArIbwbfbJAultK8YBhtWY7rTSCroAl3klsK3ytgVpocVygUa/WWKvGO6/OCmsvIbcOiBWuiv0qQIlhdwW/DehcHRSCfkHa8K+kgXyjazRr51wgc3z+6hWsvzq22kDIFaT7ldGr/toFcVsjks6VsugSVSAoC3zJc1/D8Rt1erIYNx0MzdRj4Yinb229XVwzThcsu6xwfWLbPySk1xRuGRSHtCkYFwTMjSnAfIZIARo8qL8gCsKPgE5VgoeJH6D8R2BTjhktUfGekg4uDiM8Wcsu1ulroiSJ3frXhEXET6hQUDgob7GQTU3cscCIqghWzbWIcBGurmGE4vBa0OBBFeCUCT0aMbKQGiwIxpcm7t60/cGDPwMjmnt6eQqFYyJfSmSxZXiJRjylTOtwZpjBe69ypMH3Rd637BxkmOK7XbFvNVqPeaE9Pr5w7f21y4kq7VQ9Dd33R+9IO8zsfZzrQDcHdPBfIzHOV8dgZnQ+90eDtEO2ADiSaB0AlLEMtgCsiiNBbg1s/LQ6jOCDXHmQCwh1GBtBhBPmkKPfFVCc0lQ9p2UUxI0x3jktCrEH4OeK7w+oG/ASEcdnysGtfCKw7WiAyeTia+iNcngDIsDkE+wtJlBUtm8uN9Oe+sef2ReHrA5WBYrkMzg6ZtKpqeLoI96c34NVixiJQWG03bLdNx7KbzXq1Ziwt1+9OL9UWp13bCDH9FRaHAq/KuiqqXCyLguoGnhsGPlAtXC4KvcBzHNt3HRL+MhUjOnND/RSIJ866VYBq0LECqwJtcCMRBfSCEPpxQEiQKEgRugkm7BoAACAASURBVBthqDxTGSZrE7iYpCpO+GA4liEgxfN8rdHY9+CB+1gcMgw9MI8QIkK1BlbeCTWflTzgPMO5nclkU2k1CD1YieL8oqUyOPrFqqJKohSE7kiu4oVRNqXXVht6Om0b9Zbl9lS2fPVLW7/3449jPq6UcpBXwMW50oYj+3o+Pz+ZyWTK5byqy2HgqekcL2SLWf/9Ty7VDfGZ/UW3vGn27Z9cWVhV04XAbvi8Us7pkJJntRwvXLd5a21mCnLL41jXdd8PFYmX9GzsGk7Eh36gKGo6mzOqK34sFMtls1FTMvnINkIpU9CiRtvpKZcMw0hpYqNpiLLChV4YSUoqk5bjhuUXNKlabxRKZauxevjlrxqfnbQHtx98QPnhTz8yfb5SzDRNL6cLtYZZ6snbZtNyPFXi48zGlx/rX+SG1hWVn33/uzXbdwK9XCpYAR+5RqxmpMDe99wrMx8fbYq6ZzQsP+7pHXnmyK433zrWtt10viSHphVKOY0zPUHhg4ZhCZjfLGkps14NuJ5v/f7XfvhX/y2TLwmhZQd8TzkbWM7g6KadB/YYdy/zcs/u/dtX7o6nMmkucOxWM2hnhW2bq5MLtVXL86za8moul3Pr9VwhzwXVVKFoVWuBMvr4y+tuXgn3PlI4/9ZJm5MzGTlwPT2XyfTkrZYRK7qW1YDky/kx7woyoHtiqhT6dmh6hXy2trKUy5a4RlXNVqxGLeQVTRXWP/Sl5VMfNHnVNmDFevSHf1evrVIQEworwN2XrbJYIjCDBBIb/sSCOPlXTFqH9FBEQiPgxMIDDVVeRJSgQ/kiQMOHzToFEtJ0yHgzLP8pYewktEYqSfdBFp34my4j6vt/kP0A6igpPlHgY0kBVRdlajAFKmWwrklDmbKSXgZ6AAHvFJMGxZiLVBU9JUVNBaN6EAmndVVL6aKoIpShCmBZr9KDSv6lUCvRaz9EiqXr+XbgBVxk2YbnOpBKhXGJwOiFpCfanYGuiecE/AU0j/iKQ3A+QpICh1UbdHbkj9IlMewS9yDo1OmucfeZYNMYGIQlBYb9wOfNdrXq27azYlQlQUEBKgelGSFtGT5EtsT9lXOR7oYAcWbQLisyL8m8rsu5fNnTNC0labqsSbosKxp4u0mqkuJ50Qsi2wZTHdtpeZ7fahvLS3WnUXfdNsuHT0RSiT8JYw/icUMRX0Q0ZHxwKJo8HH6Qn0pUQrxNUW6PMxH69KOuH7+IDyI/4uyCCR/OLgTaUTfxhRtK6iv35PMlTlZM23Fd4G/C2pIh0LSRBM9+lGXxqqrkc/l0RgvRnAWJeXGxVOYlyfOB3Bb5oWVUhzds1vK9zz11pDk9s2XvOqtlXZ02elWu0iMefDI6/OTT68ppt7agZXIzUwv796/LDjywe8/QpUtj23fuV4OakinMzDWGh1J2LM/XuWef2z7f4kZTv/NE7ORzKa+9dLWuFTlhUDcs3/x//vpHW/Y++vBLT0w1/eM/+vvtz//G0sT0+qHyyFDB4dSa55786Sdf/+arXLT63b/9ftD74J/91v6ff3jz0Lby+ydvvPLKk1as3rkxsXlQz617QFPEt//u/w63PM5PXd19aLc6tG/6019sfOyVSkZ85wdvPfvqvr/6r3/DcVx5eLMgCsMbh//gv9u+YHH+lY+vmOl/+4ffOP/++5WM39R7J69ODmirt6XNE1eOj37pkaFUK1PoqVorr3/7T5oTY08/dziION8Nf/ZPf9m/bmtmy21p22MPDTo/ve7t1e0Ne7dfOX/25rz153/xFx+98eOHnjxy+vTVpx/b2eJSP//O3/z+n39ralnYUUkv3/zw//3xLV0T5PLWP/vdg2akzzdc9c7Z985eH9i8rdi3scw1mobWN/pA5Ckbd26JY2Hl0rvKjh29Q2Xf8+bGp3t3Pz575lxK8OpuRm1ON/iBoaHyyoU3z541H3zhRYm7senwjnUPvqBmi5ouXv7BP/U//dWi4HLxijy0L5USfat2554rWje80D518uqXfvPXDJNfuDVeKQq3a8rubRstJ8ym2j/7u+898W/+NKULXuBN+OKeR7b+8K//cqnl9ZfzjQUDKxXyxTCEkkweJHBwhjGZ3BkImAVRHEKh6CnDnlA0z4JWE92oYLaH0RU7tISexqj3oN1EphSsCREBTPiNncSUxJXpPpkhm6fvFwetKVO6OGYJeZwAAiSB4VABgYiiKvGKgvYdBNNCs0PDZfJtkDJObTNyoiCtCAFmRQZntXQ6nclks5k8tJc5PZ0GfEYFH2JwgJdkEYTOgHwghNwhBrBdfwjJrR4EutqAqQam4Vht22rbtt2GBtKx7MDyIbnaDz3gJ/DgUIFp10HIg40w+FqBrwsWZrDuJO4JebsR8kOWhBJRsDusfuLRg1U3BrUyph5gDhJEALieZ1qR47oLi0sUJSzBe5cFMRujS6iaRO51WJUMucDtqAjtKtwHsigjhCOk07EsapKUzmZTmYyey+U0TU/pOpLtKDMNYG7TcmpVvdqwI1lpO7zv2EJgU3lm0kvoVdm+Ab8/UwnCRjoWAWhm+lWwuqG3TtFXeKRKLAFPAhtpQYVxh6c0LFAkwqSC60A0CIIzD3aJhB/J0q8U6Hw+m8/lUj09kqpi5qzr236rAVmpbdNGZXqgKqqWAp85IeZlTc9kM5IMN5OmKpIqprOqAjxTJAiL0vXLl7ZtHtm251BK4jIbB32vGWfKD2zPNhYXsqXCjq2DW4aL1uqcI8rDvaV2y4i5KFcpRIG9bvvOUooTlQEhcjTw3hNKvb2cZPme5XPS9RvjR557rHb74olPz1T2PPLJuclD/U19/S6CLZpLdy/MeGlNOX7iyv/8R89//8cn83Krndnk+dH69f2CEI9fvVg1A3Hh5unpvU8e2n7v1sW6HfnG6pxXTCvxzSuXd/duuvjpp9OrZs+Qv3lkUFOk99995/WXn7QD99MPT85UzdnxK0tNZ0vAFTOqZbnzM1N+ZrPEu6fOXX7y2//D7dl6IR1fPX/+Urv/f/vTV7/zn/4vcfv6cr6/h69NuiO/+eLB//S377jt6uVb84f2zhw9ftaMC88/98yY2apyvc/1uE4sc3z70pnPtb7iUs2IfeeNN4999cUvO7W700stp7lwLxxMSdzSzNiKP8rfvXTx6o2YF+cmr03XA3NlZkXdrEnehbMXLVdyXL/VaMiNlqrpnO9ockYOnFAoZHPFOJUO/Jac7dtw8CAnxNv397gLUznTLR5+ihPl9swNZVt/ZkDPFaVNB9fltHrcsymnRyt3Jwf29JVH0s6dmfKWdXJWbNy7bgW5bZs0W37u+of/Tc+nQ6fRamsZPV6avCgNPLl659L45FR+0yN79u0QIuviiU/zm/YsTp1vKurBw3unQ0HKlPsq4uxyQwJoAtzI6fmFx481EUDtYlJCZI1Ry0ShxlTZIMiCHDOANiWhWoX86DFFEB0PKVaFirVAJiVYYjocDPaTNZemhHLbUWR0V+c11Iw11EmSTKJLTuyMWVZOAtsg6trhu3X8W4BLRG4ikBADJw7c9qIIyKyqKYVsrlLozZXz5T6wdczl85lsLpNOoV8xuO2QCxrB7/gusfVEZgfImrGEUr0m+RzK6SIYfl0PEoMsEHt4rts0mqZp2YZrtQ3DNpu2BUZProWpfUEE2mgoL0nEKMYsoycAMhrQ7FgAOgSBmWtoUILgUd8ZYkwwdtRgVI8UjNBxI98LarWaLPOqrGIXrIiSoOHWS4aKJ3dJa9euPDMvREgdLeQ0VU6loBT5Mgz6WqGYzeZyuq6rmibJULAQzIlsx4k4PmN7jidYrg9wiqZygY57PUrb44LYY/GQJMcVJehTGZsO3guGeQM+QTFkxNmAYCdwA0GdgChEEKEiKRr664EGBBR2hGZjzE4I/tFhSDsF2jyY0a9IvWUNfKklXlAVJZ3TsznYnEgCb5l2o2k2Gq0wDNKqzPNhKp2G0UtNc3CoUs4FL8lyOiUJEAQB9G9YCCtytphr1pfUcr5pNCMj4EQ/juL+4b5Wu9lXKa0szhVyWb5eu3DpejalLNQ9VXAWqyACrfN515wTtFxWj1ebfjaVclxratV3jHkzNP75e9+V1IzTak2+965r2B8theL4Csdxn737kytiULej2Db7t6hTt25dvXzaDfaL5psTS87BAzt//vOf1hs1iKSXpdbMle+9c6Nvw7Y8t/LmJzf6NG/sbk0OzGvLP9g6XLBcb+Lsx5n9+6Y+OSWkB375s5/ebcbb15UtY/b9E9DcnHv36HBZWVlubdm9oz77o0Wbs/z43Td/sX20Mj42Zpvt3o2jd8auTa86wqWLj760+833T/don52uN7iYO/HuW7XFxe+9E2l+k0srb/zi7XlT2bW+cvRzM6jPTSyZsdlY/eBMXylba7ti7P70e3/d4AvD2fgXJ28X4nNjq6vGL08u1z86fHif0Ta5yHvrndPuQu3oxYcV6+q9VgBDbBy+8+Y7m4eGX3x4sxjUV+cW0rxr1DRdqotamtdVtZAzFq9HkaanM15rkVP9VL4YhRNWraoODnJKRnUDXo57hp0wdCLjdM1Ma3lF79fc+rVQMWsLY+7CtKKIjbkbK/Ox7Smr1RZUx1Shcfbo7N3l2DNbEz8zt++yHFdavnXt+kX/+lJ/T/rqL98cHh62G3dPTE08+My6y+1QRkMvJhmPYS/E3EmgpDF9MQDxjOqb4LDYCq09r6Sq5FnXjMRQ7IUTUgaRdfFPo+Em8KWQUADkfhzNu0z0mJVownjr+N0l8/oX/VGSSsFeDlt6kMgmAsTNBVUZ9Ergrg5AAU7GjHHMskSpcGBXDYaYAGRoaqVcLJUL5UpvT6lUrlTy+XwWoEXw3ZVVjIRDfjcuEBl60Dk24LdiTuFA9EFGXKT8xYBSco+AFg5IZEHg4z9guoe0B6NtNlu2YZhma7XZNI12vd2yHcsJZN913ID3QRwoQPxVGGPQaiQAkgLfEHRVZLlKftosGgCuP8mLmIsuuuWhZhgPUZBNR2Gz0ZCESBYlQRbT6awkqeDiLwgynm9oD0cAPV6szilI/m54qMOhJkBoN/hzIksaUSF08wdVCijb0BsDlMi45oIfiqIomqyms6ga8SWZ3Cg5z5eA8IzAP0lMfd/HOGzoHoIQ9F9gdRt6hEdFYSRjjSVBDkR9hwGeoFiusT2IcETAOgx/FF2kAKRGwhGsoHiOUxvqF2+w3/o3vy1JuqprcopcoMCiD7nfwOP2XJR4+0giBMmcLEqqLmuKrGKedOi6LqgUQ48mP1mRP/vo+JNfek6WZOZiDZoiXoEBBM8WbHmiKIYA2yCA3+Dh/RCrnYs5WcQND8e1bL9lB812o92GrPFqtToxdmd17l7kwYKL7Qk7zg0sOYfX0xnfsrCdR1kUs0VLctQSljbzxiUXXeY7u0YZTJig5L6IFgGwvY1Qmo6RwYnau3MdaanCcbyeTgWOgwsZtgdAzxoQuMPiIvG4pc1BHEPEGWKaEqL+Xf5K+EvSEpDfEG5gmBVDx9Kc+hpy9cXdUpSSxeF89siO0R07e/sHBgu5noye0tPwiUVSHIVeHHs8+dEhfzOOfUiZp51yKMB0G3Kw6ItcL+L9mMfEJsEPQg98eEEb6uLC3LUDoxm4TmQ5bhSHZtsEmQAIROGleeB8yAfQlPAgx+dEWreGkCMnoQcjNrQgNycevtTJ++u4ZxCRgVVgSC8WscKynFnCBsh+mBZoaIsMgCQ9wx1lBHLLuJ2bhvY++OC6jdt6+yrFQjmfL+TzOTAZwC9CxbybsZG4Ra21z/eX5o7ig/0vCD5jMOi3bNcwjGq7XVuu35mZP3f2yuzMhNluxFE0WnKf325+55M8wtMMJQccFRANLqUqlUKp0lfpGejrqZR6QZJeyGYz6TRse2UZ+jOaK8ibA1v0xEc7gerhlWABgrt8rftfW3J2bi36P0QyQCMCKIcPLDLLttvtdqvVrjeMar3RaDjtRqvdWLGclmEaaL8L1Af4NGmfmHDA6LGQ0H0pOdiEOGI0PXjLkEbNHPfpIua06M+eXv2vJwY0TSuVSsPDg1u2bOvr78kW85lMLqtnUnoKrO5BPMw2dqCfxschgtxut22C4LvaajdWG83avGvVOS7O5dLFYjGXy+vZFLiPgrpNhDPJCw3La7cts9VstJy25VSrjVqtajt19JniVAncmiCQxvMQV4ZTE4B5SmBEwzoQHwYBRnmhvWIU4MeB+hcJ9nvowgG2G8SwwMcTwJ9O4heHOxfggpDFPNHReW5marq32HffknBguB+tRuCQkiVN17OCotL1hGWrIApaLEWRDIcvoighGLEjbQDuFRnTvCBKESMySPJDkqfOZwYv0w8EHf4Cvk4YdkL480ACBDdxB1F2TGlUZEnXtTiMWrZve7EDWss4CnzPtYnPTxJUNrp1LNXQI46LOavdxh4MUsk7FnAkeiJBVBd1Z+0HAyWZT0qHeUm/lEjok4CV8BjSDUdvDa1C2PPA8/ACUEjKNr90zq/5aXS7Pq41aIixYgJcl/subcXYkkwQJWg8EhIu2ywnTFqkMcFfwGeDa7repdlmS5Q2t8Vy2csXUj05La0rnMzh7p7OAni8fHCW8V0EKwOQvcGG23f52Odtx3GCGCIYwtj2IJjeD4CfEPmh59pgUIBsDc+DBRSxk4h8lISOi6SqRvYqTPjwYMOyiffhdctgRkpWYKzcwe1BjzpuxuDvdHw12eDMuEqJbIQBhOwflNTDjUdaDAZ3In8MPx8xBJUaSrrguE3umoS7zHqqzi2R8HDXSlvXCdpdmjs/JUuHKIpsON6iwPVs22k2jVar6XnOGpmV6HuMyUfe9uCpltGUoaGBgZ6h8mCxt7+vVIb6kslk9FQKgGZkziDm2jnC4Wp0tqbsBdNzR7aYhJMme1JSlHVk47SyY25eIVQTMZKh99CDVCaTLeSLjtcHpvitZtNq1I1GI7+wtCyuttrtVujbAc/5ARCW0CuIWT8gLNEF7id2h0RFx/QxVDmSVp6c4rDPgWGfc2vNpqaJ5XJR0SVBhTlBhZQnSFaVBIUOItQ0sluGbQqx6iHcAwxvK4w931NUxXY9vm2FcawoSuSDww9UdrxroRIAbVz0sOVRFTGOVbBpVmFJSplYGlIg4HoTvQOcnoUAHC/wuaNOF69/DLmR2BLAZwEQM/SbKE1MoHPmjEutJFIrcBkSQqY79XcUHvwr/uPwYtDKhAj6UHnhj4LPuiCCrBOS32KJj2VecOEmi8DMHQ5mij9g3MhYkoCvDaMB5Ac7niuEEFtA1xS9y/2m0ULgHNRQsOFEw2k40hzbsZ22YQCcFUWKpsqKyvG8FfHNhuHbduzDpNhsNVutOqh9cFXRPVomQpyOxEsgRhG7hHh9EQBKXIaTIs0kqmuqKopd6pi/JAkXiVkM1Qskv7EngWo0owFgCUGLQriGJFjqZN8BWQoLEOsQceSEJwm27aRZgM1Jx4izy92NvIlhsEwEn8nChLlNd8wyoRcTOM6PpIWmZd6RlutRMdso5pRSLpNJpyVVwirsBXDG4wzuBpEX4xweBjFAYpYTRqHsurDYh3AmOE1hY+yjYTkUXEjSIlMuHv4ybfYTnn3HwRlgUOhyoFHCKC62KUp86JLwVvC5BcCBfXKEMGCIcrewlxlx4NukvSIcw4KgplKs3NDni2U3SJKo6fZASzJ8kOBFBJSXTakdVJS7uLwMTGZeevdX4cTR7V8ncNBFIJe0MAIfO9PxWw7XNNy2aYQoYEt84aj9RfoguDvxqiz0ZDPD/b19G0bKPb29vZVSsZjN5TKZDIhNFCQwI6ZBa8/Od1zDZ9b4yaSaYYpEchBNigR0cGv3FW34sIeSBBlbkAiCT0NRVmLFl3VVC7LpfCFXKratXqveLBSL5eqysVhdbTSWLaNpu20wIAMRBuSzgGU8+kcxujKlgnVNGoyWzOSXidcH3r9+KAIhwfZr9dZqtZrSs7qua7LqyI4IDracGElMy8P0zomXIHajoijIsJ4A/3tYCIOVoO+4QJlHujQwfBQybsZ8H2CIypKuiZ6laHKqFTcQ5UUqOlLmKWgd2TpEiQmRYALtWsI5ZMx3/BVjhTKcCXhJ8NBiTgD+CMnFCF2AggAa9YQsyCovI1eDD9IXC3QEfNtQ4LkQrA9gc8yFUixITuDbrusFHlAvAR6CNkSUQHAOv8uBKzR0+Gj4RImQgGRBgrgzO3cXLLE9MvTDPXsY2mY78CH3BcQ1MUaGQysaBr7btqx22wwcF8JgJFmQZR/0lxCKFziQv8ULXMtuu8gwofzjjkK3+8ghPIoR2ommHUaYgdRxnCHH7iQvCk9yYp0Cx6gjc+3wlLu+AVN6QZ0kKijEdFKG1v1PclJHcH0RA9wGZQvEpQngSccm0+rCc8GaOLQVJPfbTigMh+sjPoQLSUot1kF0WjnCtIjlLYn0bUQ/ChuG0bYsCK5QRVmRUzoMRlwsBGD9iF0qNEGgEo18SpQA70QfvjgcooB0oFAVniWWQoSGA/RgQ0GMI8ixWlN3xCAzpisArAmAUfDSoIcUO1UTcSBcdGgOKMCJyZYBzCEbBF3XiOUFwBDO0TBqcjA+U88Y87yma5XeciaTBlmXH7oufKUgCNptA2Z2+tRIW0h7MlBsIfaMm51OxBULa2EXk3ld4jDDhBYdDfgXllTdtx5zJ6JU2iByPGBAtK3IMCyIf0vU0pTqkFwDOIlSmtpTKg71Dw8P9lcG+4s95VKxlMtmIaoupTNCN20A8UZlvXA3yLLW7NN9CG+rk/jyhRNl7bbBb49QIHpqw39oOoR3ARZwcSRGkaQoqqZlXC+LYEuh6BYbPdVquba82qrVGu2a5cJzjc+6D2MPg7sTTTnzo15L6EVrlC6RAlbCAHFs3vXbBlev1vOpXDoDjv6qooI8CUxFFZwj4ZYgnWPC3JMEPiCKPgkqMUmCQ+s4PwjlADwsJcd2IXyFLA8FTpJ4ilwVZYnCxqMwJGt8gJsw3hveCyuiEViMwS6bDgbGscQRAAe+JPU80TAh5AwG1HBvAxoUwD4QRtEohGNEVcBIj5Jv8PMkE03gzjG7mK4CvbJq4NkMQVOImsu5bBpjDmTHB09bGAoci0ehuixLAOrHsayofhA4tus6LsFJkiQFftS2baPZun7xCjSPQYxO//Dc8gIP4BYFFeKcBeAJklrgxYdg4Spi2gjwecAJG/f5vBgGDhxfQEsKIt/HhQRCyGShTf1W8kETb5WNcWvuCN23cIcDhFc1SX3Di4QWLSwFjfpx4s+yME0E09fUTWzviqTxJKEzsavt6n/BGh/t/OnbS0ioYeAyugck9yhCh6z0kMtzsv3CxhBtalgwWlegRrxWoHE8wCKGkyM9Z8ArC92AFx2/YdhrrmDwDdFJPUleogMc/wvLJLjMaJvKRgR4puAtEw8Ng4GQsk/TCXzCsG2H0OaEWYXoNouuI9YxWxUlPxRVKfaUY15wbMi4RYgEvMdQV8ENDg4oqgLuMl4AIWRRbFmWZRogpmMZG7wqaZVyIVssBqEPYQXAg5cs04nmeaNVZ5mzaDIW4GaQTLHZp02IYsdAI4mX7a69bFTvYmh0l+Y1hUbX40QwD6zQIsh4BlDXcfFBZjMY+RgnqLqQUrVyKb9+/ejg0Ehvb7lS6UMaazqdzaiqCiNth/rd7UvS0eh1lipdP8hU/ws43po1btfpzm5WsgqmkDCwMIGFB3a4mKSKrtmwAAClsKKlrFxRKxa1ZqlYr5rzK6vN+oLVqLYdU4Q0H1SnYaAK6uMIumSptUnXQ20Q0+Exu13YtcDJ6Pt+s2nU8828WUjnMi6wLPxAAdYDiinhUcK9C/vUCOUCBjxDOXRB1HjOYhAWsinQ9ZxhxPg7Eo+exbAyFGIRbjnQ0aNZE+L3IqCJSUlhJB3shAPsMti/gBQI8NGF9S8Bu2RmmVjQcqD1RlE7sBxdGFz9AIwlXMcBOh07H+GJCmE4FnzPd9rWFwu034aQZcOqW5aJswCvSWoIgkAVwlOATw6mXK16DYI7FRUcR3wfDgik8kDN5WNJFgG8RD9SRZZXVmuUU0D8HtDaoU82JoPBO0Sbb3RXgThLenIYXBZCAs3anBuFXlIYk0wSNpqtxbMxHhbUFtzmJdbrEO6G7ZEs8fiQY/XDY7fjF0OjH8XkobsBM7pBt3GGNXdQY3LXgU8VmULwzQQeihLWMXqQE0wQ+eOSFHouDFTJMynA6UwMJXIHI08ZeKk0fLHVPkvHwHRUnAch/4Q+zwRsYQ8jjPBgrEOJ31jNmcpJkOCUpmVNFISSJGI+Jv0IEc9kmC/d7YjXQNUgASCqEzDlK6lA+HU5WVayeR08CALQOdBYr6RS2Uwuk87GEW/ZjudG4OriOpin5mOSBbThnRIiimKpkN+wZURRM2ABCqc0dACqotIL0DQNyFPQP4q2Y7te0Go0WzUtky2FHoxVrutoqprNFDVN54SMH0Y6xHSFoqI2W6Zttyk+g6k72RwNj2AQwZAA0zeMMMmWgpXatUwoShZkZ3kCJ9ATnjAw7k+8pq0v66ugQgOvKQJANA685FBh+XUEPSuSmC9k1m0YGhwe7O/vLZWKQNbIZNPptKyC3wYpc1Di2Ok/u44Dhm0kOYhJtmvizJlEYN7fOH/hB6FzYMqdHFS0hkH7TND1kCdRJASCIKZFSdWUbErNZ1LNfDtVtMRKOb1UdBbna4351fqq5yIs7ZPbWgfN63QvxCInD0FWsZkQhTjKwK8QTMu0bAsEfo7ru14QqOg2FYgY6L5mYohfjHT8PCSpQl8MMh5VFV2N4zyQPSuKqiq6pum6pmjgbAcxmyIorz0P5KuC5AuiqCia4zXCwHPhKAkU8KqSmXAf6R1UIMBIA54gxjVEUxHkBWEeB3Z79HCzxELg73g+3P5BHLgoj4pCHx49eNKjOISQL0HkoMBiWDgveNavuNnd0OuWiwAAIABJREFUvnWL53kX5DymaVmiJMmSBiv1ECZN6jJgsY9zcRwFoqhggSbTLoQRuAjJKPge4iCfzbmuvXnPE08c3r18Z5kXZ3/21lnPB0AgDAJZkqEnp7YU5xM/Tj20b/TUuRuKWvr1Vw//8EfHwiDYsG9f89aNfa++NvHLH98zfQk2ddBGCZIMpn9IZIHTmnLZUBTg+gC5DG7bad6ZWHHAIh9ybAP/xa//vrJ04Y2PLzDzXED9BDeACYedAnzs+BFGM2Re/7UjP/np20EIMZGxoBzaO3r24pgii74PzR1grxzXs25L2lnJ7z3iXz4+tmqC934EKC4vCJXRfYdGrHc/HZMksWfrw6892PfDn/yi7cV+ACASL5df/8rBE5dno5WZhaYJI77IBX4gyWocemD5CjnXgPwEiMzk+0ezfnV2qbHn8CPTl856guiBZFxUFImycUVZFuLowOGHb1+75uAJFIehrOlR6EnZzV85UvzFscuQiBNGu556bU965cdHP+Oi2At8yKyUREXPgtN3EG/cvv3utRsuRE66iqY6loWHBffUq1+78NbP9Q0746XJFRsiH2Je7O0pDGwYEFXFtvxW24bs+jDO9xQH+nsHeyu5bJbn4nbbaxp2u21WV2qrK41mbTWOfJKYqJqa1lNxGGZyqXymUMiX4eSArQ0gHoqiKgrgoZIs4cSmaJoGjFHXX7g3t7KyeuDBB0VRhOVbqx0EQSajxhzfMG3TAg09J0heFICOGHgvmLKUcJwBX0VVN+2WMQMUlXZdnL0vPBtdoTdrsbCdbjr5SYKs0//QApAhsRhUCk84qKvXvJNJbwbpE2qpVChX8oViAUzrU5lUOqNqIA4k27GEUZIU467/v0+Czjoa9jvYZPwr66auv3Bfocdenv0mxumwgQ4PIkr2BgeCmAskugbplKQqsqrq6XRWN+qabGaV9KqWKpUWFup2swq8dmTvsXTgDiDJQFsG7jFRZbI2T8ZXiDx1raZrGR5UZ9iZwGY7YYvc1/5jP0RkOFGMRCmSwGQfbiQ0MIElkKqqOkwjcGuJkiqjcl0QY9+PfE8WJUeBfyXbkFXtAZcOmJwOeZDQ2IEIBdQTQiFwFKPxEPgN0FCC5RykcGB1hskYsV0Sq6KFKsRxMrMSDkQ6hFmD/T7b5JLOMIr9X4U47s3fpSocghcTrDJ43iJ6EvGY6KMECje1nCAEZUg2fDfEUuFYwUMYAIx05LnOhU/e3bF99O33Tv+H/+XX0nrPh9frRx4Yaa3Wh7cOtJcX/+FffhnE0dOv/faoLs6OXchWii+89rpkNsqlvldfeeaXbx7dvO/h3orulnpffP13lubvFPoG3Mbcv7x16pv/9lti4B1/8+cPfeX15vxcuSfnN+bb6VFv9pJb2ra+F6IUrLGeHxz9qLDt4S8f3tZcvJ0bqNy7baXXHXisXEuN7HSlfF9WunT26lCv7eV2jPaVr3z23sUZ95u/+cKlk2dGtu761rdK04vGYCk7e/NCprf4/Gv7pNadu1b2wa1DzerC7ORVp2/XMxvEMTO1/dXf2HL3Xn5omLer//j9Nx//ym9tHhpoTx47/NzXtg6VAfIyF1M9I19+5pmZsXEpWNDXHcmn68M7Du7Zt+Gf33jnma//YUkKrp4+8+jLRz5466NDjx7mga+jXD71Qdi7a+/GAZGPC6L5D//0w2Jf//pXXg8bsx+d/Fwtj7z04rPjn751pZb+g9ePfPr+e+s27fnyC89KkrK4XB2/eGPfI7uM1aXPzi/1jQx94w8OpXn7e9/76eCGdd7M8sDG3U888eCl05f27x6dunn7kVdfzarCmQvXH3zyher1sfxg9uNfvlfZvDeq3pB7NqxOXs7ke577ymuz9RZfKL18YItVNyI9NzrcM3n1gquCm0QQxo4FvA49rWbzaV3PIFKZgodBlKIorNdatVpr+m613ayriqKInJ7S0vmUpuk8z6dTacg7AiNsUL4qMtRnSQIKKri3SQrqCyCBAPLqEZJav2WDJIGnTLttObatyLLjuL7s+sGq7zlIQeUFWUOXIUyEwhgSkH4LPFg2Ai7oo5MulYUOS2Sto+wYJHVs1Nam80Rt0kXz6KDSHfI1QKQCF8EZiMhoknzagRTQ5lLksykdjBPUbEZP64qmq7oE8hP0PCLlSpIJv4ZjJN4QybZ5bR+Y+AUnJbhDAP9idWZJht1vvFP4iC5AUh48vWDJSydZB8nkJQo2k2RF1hQlk5ZaWUHPKZl6SdeXVxa11ZXV0LKQkYpgCa1icWGYLHuYhL5DEIRXBAQf8i8NPc90XcsPHN+H5TR+GVIoYuRZcjEQgIkQfg5VOXIhnhDbF1nGfTmOrAhxCDK6AYphHAPUjL0A5APAhyYC8OwEXKOFMx8tkGMwJ1EEEbe7CTsnmbuZBRNqd+guIOYCbRcCSGAm8xOUy4MtoCBAQgMN/zCn4uRPibEdAlhXRHp3gTbtNkNMkJWHACyOzITiJCZelOELV4fxXOkqYRZAV8A7QQYsYBXb61vnT7RT2x4/tFGszwRiamH8HN+3r6jKy5aTTsvv/uTt177xZS8yJU78uzdP/68v/R+1O5c9OCvMk8c/29a35dN3Tv/5//5H9fErV+ZdUVBEt/bhNWPrul7Rb855mb159cqCNzk//dLh3erAvumrp9Vi5tTJz+yAe2THpk/fffepr7xYr86dOnfL5NMbfuOPjfHPe0s9735y6+HtG9LKvJXrU/3VszfuFLY+bU19fnFyfv/MrRtL3Fcf2vKf/8s//MZvvRREliQo333j7K//8f/ELY7XlmZvTK9s7HUvnL4Ybnvq+LHPjnzz2xuVhZMX52RB2DRUPHrs5KENwqGHH6qOXRDKxXOfntp+4IV8oX/zqO20Q21gQHUtUQgunDnnxlJaiT/68NLjh/ZayxNLwuCukdzpq7fbXmrXA9vVTQ+5szeibO7y56faoVSsVGYvXDvyxO5zFy9vO/RwPtezYbhyfX5u1dH2P7Bl49ZtPZmmyaWMoPnkl56Mg2Vly8GHxdtDO7YMFnLjM3d37NrV25Mbu+AfevLZXKVy5CH3zIfvy6OP7N0ycHfVWDc80FtQw+G+oX75kVe/OlzKBfHBxbFzlxrRge0Hh4O7Si2Umk3era5/6IVeb74qZrZs3h2mgV3gh2AXEkEgUBCDhEGQwdRQS+lpTYNSWyiU16+PtzxgO44LCAA672IqliKKgqZryE0SPN+HNSBFJOMzC6IABeM+gf4lhiGnaJqswsgaxaGkKIoO6cBhFPJgTBGGuYxri3EYybLWysderRm4RsB7BIoRIgu1AYF3YlWy2kEmOB3Th7WK/P/TgXb9q/sW1GTRwdBIUQbiE6bwybDXiUIKdIwpmgovFHBagUOnZuDogrQnWSGrDVwKEWXhvm9DVhtJbepSJHaCb9dk6xJIR7odMpB7xN4By2TpEEw7bTUr2aRxZJGD7Eygd5fkamLypUZeeuTxLIdimuflkE/bnO6vzAZWyGN4JTKWKXuVUa5YTjXE1uAOHN3gwOcKV7oAC3mRZZm21/DDkuen8Av4UQxpOxRR3tVBA2eCqHZAJRdSuqQ5oulCxFSEazIplnhfENQIFoCArYZ8aHtO22q3Dcd3rMA1HMOwAtsKPM/nuZAMtSE6kmLVWOQzzOsBALYMHU1YHhh0wkaN5PiEXTq6beDlxZGGAvMwWi6M4G1HAfGjif8D0hWwKf9iqreoqMjoWzsTCEVlS2y4eEjv7GSSd9/BXT69RGKDv5NJpy3LIhB5aX4+iuzFFePi2Ysj64cmx64trSxXTeXI/g2Xb0zufuy5A5vKHx47Wm81p1bDR3ZvuHbqwzlbNZbnV+r+k4/tuTM9uzi3UF2aMYXM0vTYXNV+9pVXMt7S8c8uumEwduVyvn9oeXqcz1TUwPj482u9eeXTzy4cPLRvdvrO7NzqkWeeHDt/en61tbgwLyjS8Obt45+9P2Oqh7aWjn94LDt6MOWtXhubvLu47LaqI3se6xHthdXa4lJ1enr+kcf3nXzvvabRmq5Gj+7dePrUueHRgfmVZkGL7i7UH3zo4ZXZqZXllXZ9fsGRreWZyXsrhic+fmjL5LVrV28vDlayN69era1WIzU/2pebvHm1sv3RdNhaaoeTt+4eeujA/Mz07sdfXF+IPznxmemadyfHhfygU1vk9bxVWzh18dboSOXKmbMb9xys3r3jhqKipHQxujU+FUmZ/oIyNT7WDLVtG4bidoNTNMtpG6ZrWWapVN5/8EBk1dteWMyl6zanx9GyEWRzBU2Rs6V+0W9/8tEnOx95Kh81/Uw/5xo1w1RSudGBkh9Foqj2lPNee1UqDR3asykOXYfXR/pTsipn8tm0Lsn58rbNw7EkVXpyeiaTy2WBppTWwPogm02l04qqyJKk63oqnVJUBfKIVFlV5ZSu6TpkxOkALouKosiKLCpga0YRgiDjRrCelR4ifZIgB9wh3GbLbDSa6zesRxobwN+u63ExiCwEDjLdUpqcz6XTmZQkgSynkE1LiixrKRjPQWTMpXV5YHCgUCrl8sUUnCAgAmbCgQ4Uwkw2vni3J9STf43B0VW4SZ4H23DQ5nmG6dSqKyvL80n7FRf0YFOPf2k+patKoZArlUu5fD6by6TgBekyXBXooJlG7n7lTteCkrEDiXrI1of30zVYzO0at5vSXZP6fd+/WgMNEmZnsi1n/W1CFE0EYWQAjadbQpyDEHMl9GCRb/uB61vADmJjdxLCi/URw1o6bKZYkbiHNtgnp9LAlyNas8CJsgQGJFk9ncqrqg53C/ChYbzocN47hwoBwYEfOA6kMjiWaTumYTYA9MBVexgC087zXAfk7Z5t2EbLqDUaRtuq143Ver1Wq9erhms7lEeFLT7RlyhYFRQxqMoB0SO9FTy+YpjRmPKHNm4Et2Oziwo1ulxkJ5NMO6T7hzsXqzutsKCHiOLIcZ2B4aH77EazWRYi28m1YpYGrH9Hy+2E0Ux/kkh/+MeRmdv5Tdy8VHrKK6vVhFvTudEZhxHGK1EtZtRawxj6/9h7E2DbsrM8bO+1157OdKf37pu7X8+tlqAlAY0mQEDAcWGjVADLLowTm5QrRSBOyoRUcCoGuwocYSOUOLbj4JiEEAZBOVDEZggqCASE1BKSelD3m+f77nymPa619k59/7/WPufe91o0VKUqltglvb7v3vPuPfectf/1r+//hscfO7h1A2ehxWSmo4oi6HVZqYcvBdHjj52+cvUGvdcgDNA7bonkTAcnQA1mJQbcQSjomQ8/Onn+6dPJH718ldRB9vsCHCT7XRoFcASHPdDw04UYOYrDKPJI66kJuY5Y2RlFvi81OdGgj7NSPPsukSFs24/jRy+cOf/YxcH6BiB4PyhLMy/UdFKW83y01r/22iuz2bhRJdMuCTsLKcmGVM0yUHUthej3R3WDeWwJT2E16CenNtb6o75pmvX19TMXLsi4xxFkZzdPnT27muU13+FhFHrgO6qyqnAeNOb+9uHu7oEupsNhf319jTzfxXDYGw4HYZRKCZ9iO39xtLgwDolyB47mytqGr4rJPBPCi+Oo8bysUqooKcPejiuFEMPBIOkliPemHGLG/skgBnO6ypDHK+uGSIxDFnT4iUppUiRj4cP8CGZfWO5y/9eujt9y/dr193/D+5G/2ZgsL7O8xKCcWZ6qDoTfH6Dg5kU9h1Ysn81mO7P5/u50tn2/KrLNlcE7v+rtTz3z5Jmz5zdOrK+unhyNVhEPCV0MN5b2JuKsrTeiPB+73PmRE4dNXpbT2Xw2ne7sH9y4O73y6iuf/eyL82wGk+K2ubheffNz5f/24olRPz59evPixcfP4Dq1troxAn9jEBMKj91puavtuEiO8c4jnGNtvmuoOmHK4vZxt+HyZelMXdjxkim8u3XZ0gGCI2LAMw/GgcHGYLQLrVNV51l2MCkP9qe7e+Pb29v3d+7lezuz6SHfNawGYP9ra1Li0hL6sfe3vnH/v/31dfayJs1OECXxiZNrFy+ef/TCY5ubZ9bWVnswDBokaRJGsQCTx6JMbdNUqi2KIsvy+ayeTrKDnfvbe3v7O/eVVlJ6/T6spsBT8KOmDYwRpjRNradlPs2nZV7k+Twvs/m8LMtZ09SBB4oh38h2akqlrGtGTQunZbQT9Erwq06Rx6hdNuacedTgieDd6BxdHGmCKiHxAhwXyz7kYHL4FV/9VUeUhO4Uw1IY6rfpp5Lmj5FrnARZ6cfeSxb/5hMLSiQTztjwlx5M1ByiNjK5ylHWMDVp/LY8mGDGdff6tS40zQVUs8cNnTp5Z3B7PDmW1Vev3baeqPbg5ZCsJU7UYqfBh/b2me7e+dQeFx1WFFprQFuRGUK06jQnKZThxsb6o4+ePHH6vC+jOcxJClbbByJIUPsQ855nxWxeZLkukRtSaV02uqanqEZro40zm+ub3LL1k36P62Ze+kWhDw7Gw9X1nXt3y8NJCDt6tKL9PkoMHF6iyA+EbgywPjCcwlqV491xPpttnBxEvXBlFc1FmvYG/YFAqDmIkmkcNp7s9SCakhIz9ziNWYDDkrHNs/PD/bEqcgiCwojsc1QcAZWAi0oYeZ5PR23L0uF4M2ZG1lU9g6kxaDYahbE2bVtpGL5Y++bGYLi6NIHyWx/p6R6cN2rLpWtlCFUYrOUMhhd8UuyMFkFdFzSZQS3XoAvln1WtAEkJzWmltMrKIptmeVG0vgcv44DMYIQ/NyoKJQgkWV6VVV4WdVVhdM6gM7GSWFtuPbm56LyhPvBNXctlj7zVAJ8HJC9OAC334jDNvSnlo/Ax3I8jvKlxnEDhjmGFJL9VEsMjbxa2DYuK7IibPNbuJK0sguQHdSHwXWpWR2U79hw7dmYXiO6ELp0813beJHohRS7pBqAHhYubZ2ia3eU6MraA3zepBj2Z96PRSpznaVv2KwVnT/qd+A7F+w8YmoZjNtDZMu3wZLjy6BbZfHlWjQ/mJ9fnRZUPVd9DhDU56cuGZMIsWuRThCEXgND360h6UQTpj1bhbJzVqpZhJcQEBAs45UVNg7F8q01eTZrWFHmOGwBJUqXXgjBHLhCaxRTW5MRCCZY/xTyxAORafmVbJMhydDVTdFkZzPptLif2PIMqZoXXVqHITC3S+HhskHs8rwdkOIBBrgraUwvqLn2CXjLufI+QZtxsgiljFtFzYPr66qqdQiwtePrduMl1VfHo/eD6BPtCWAzl2KBjyXZgie3eddBL+XKWNc5Pd+GIs/zvbAIEzzeXooR5jfKopsir6WQSyNAXwQA3FKtcwD1D92ZMFDXrq1GSSK2TWtdVPsOLQZQcXwb741le34jCeyBO4PSPi4+HVVUZbQaJTk/0OC5ZhrWCXihoy6JSQPes0Ro3LI2uK+XJ5nBy6M+C3Z0Dvj2iCOc+eGoo5VPkjaWbohjAPJjj62jIA8UQHDOIBEInOXDjcSwAKIwLpyA6bTIJj98X3ucsKdqFEIMzQqdLrzGSUQJrBwqZVhQjrIRyUyFHhHcvDcFpV4RJAJ8ZbR3gqGxWbVFfgEMinVt5azFtOxl/7Pwjj1y+fNVoDbr9LJtnGdMcoM6npc/4QFaU02lRa1UR448M28Be4tghO11ppV2edsmRgslx6Za/8GAhXuSZLmJW7b8yHoAapEzBmC3qJUHSG0XxKBCH2oNRGRGbfcArADSiEJEHztipY/stUZu7maTrnXmIt6DNdb3kMSKd7Vweei1RQxb3l72nl0JMeOwpyHKPlToBmkVUah/KDogbgQFbTVYsZRkGURJFSZz20yJP4zKpFUQ60HYe4/oRd2F5c8MioUB0ZA0oXVd1Ni/Gk9lwLS/qCilNeLkiEkmzYs8pDWi2ieAYpF8ZYOJCauNNpnNVo6PSukI1Bd4BRwoc48BmwI/XhF0omB0wIszqCPs+EGxgDQHpAKqhNkQdY6Kd0765l5CKrsWvWVpEntwWP2azFyhgeX1bewm+Me3hpZOndRcOC254aGlAtkxSSviCyGMzBaxPj31LXYzawnei9Xd29hEkbUUR1i7ErRluBPhXWFCGugn3Im6LblySmfEMh99gC5LYd9iKwYiw0tF4SJNDr9TC5J2acddjs7kMSgM0fuxn2bHanQiYQoZIn2eGvSSKhhvrgZRJGK6uIoYjiiOtdVmWHMWUxHHjtTWC202WV7VqysLUxdRv6/6gH/V6gUQEURz4CWDZgGA4vC9gLDBWRbg/WQshUj0C4SyyuaDOxkspjYKTF17TVnXN1SQOw7SXChHkVVWWNQelwjCFmbZRlCQpDN7DkPzefMSoqboqsWTrSuWk4UyisA+bNAicojBM4QuPftayWalL9YnWjRdWYFdTdVMbDctGelpe25Rl2ZhGSmm0jpNkZXUF5Z7IbOwuVRs9m+dVDUJSnES4b2vFdpGYCte6rBUot/T21lpkmQKHjzbLWpW+kLfvHdy6uw+origz8ASwTDn6iRc6YxR1VWR5xnc/jMeoxngenEOwqDBwp2Xs9mPSQ9satWTB4U5Ti+p8rMt2By7LkuYlS6RPGlvJMEyjKOmnyWjFPwx9BTY0x8OFEQIDoziBSoKyS0lfxTez7e2dk0Y3+LNizqNlzt4yD6U5L/MHHwBD7FfZNKvzC1vmdSz6MOfaQTMzPBS3GOTB9HcDir3QAVnKId0lkrIXJ0UcV/1eVZUNVUEIcF1XxdrZ7qlxmhULbJjogIAZpbI8m81m+XyWD4b9dIAgwCgKTOA3dMCz9wYVaIwc4SOBCSsidMIoSlrfK+uc4WOa2jE2RE56hDTTKUCQ0MyQlNJlRtgCSGox1lgx8kpAM92qOBJAVWuZF5bgbdtOTshk8zYWzdkABSLB8U7sPAM4m8YO8I7Lno4WaLc9k+bhyKAaOgeinvAn7BSRwobZ3JG81qwzDbntCX99fd0W4qWe9ME19AYravkzDyGoPnA9iLgt/dWGXi19oiO3HPvWDyB1gRCH82J++bq4fosHI9QB01iJk9L59bKh9IvhCliblOPc6XTt/sH3otu0uq7ekmrdxMUliCz/Frx2WQdhzwXnHzn/jd/07/R7PbACciXzQrQmpFXFOaNBKMkkFs+BpB8AtZUG6b02psiLEp5GGouY2cFto5RKUyRQwJrLujd4eZbXsKyjlGhUYajG4BIs2hIwXqbKssirutYgKnnYGEaHU0mKUCRqo402ZQ2r+Gw2r5UGrO/7uqpjGQsRIIOzyrRmraOVe+Zlxa5g3FO3LVQ2AEAk2Yk1CHTh+Gdy4YK3PW/1EAbQ4MH2aeTtRmEYQtWg4NMdzTMczmY9MgxcWoLubTq6pLp612HDbHlhe2o2ukSZkEkUpGk8XBkGYRSoEktFGlRwzLso3ZXwMlRnuod5jrGIB6XfgHRwnZ7jyO1xbMG6pr6LFOietlMnL32+25Pc+jrOyjvGPrTiciju0NZgcGvXdED+P8Rpk0KGSHnphfEc884oSvuq1iC6kwcey1VpN3JnFls5yAiMM/oIUFVNU1X1fJbnc9h21XVRa0hLpWlAlrNqf3f2sG8jbGv9IAhjpF2FUUIzZGjvEcbdqUahWkRxJisC5hEjHpc8LawmiKwAGLBgRyprD+7BDoFjv3AnQ2fnCqPbzEke1Bm6WP2dBWUdkc6R1+lLQDwEQc0Pq3SY7vBzpUq/9Bj6wW7y6GzTrYravn+LIsIh5ORo3bQtJXIeNzb9t/SiGI7j3Jf/n1x5nr33fe/t93o0gtFIz6yLnIpa0zRpmvT7Pd1ouHk1zWw8JtswDOjYBTifz7f29g+2d01R9IcDKUOlahnIXh9HVGv7gDOSnGMuDtYS1HEkthQSgyOgDfMsm04hLqjqusJjNFoqpGLIAAZy7InKoA/CVBUKvTshCtHCxIbH/U2riIXGsZskVifVOSY85ETEvFewNjhxuvUJIvGFET44/oSHuE6QY7NJt0qgFIEwzl3P6VaXihARjnETHiu+x66lpMuH10cyHaN8KtQIOehHayuDldH6fp35nrbRtpgBMoJlfEIN7DGUbmv8an7DxyfbWxHY0FXVxUU7vUUKlg6q3XNZ/pxThluY8yhZsANYrU/vEV24K1ru4AsxLY5UVKf5DCqC0BeKABwvCcIaGTIE6sG3WBqhNd4KPF2qllTw6ODKLTzFbZEjfgMoAs2pMZWukbs9m67mJ4oyT9IBeVerMJTsyGHbLBtk4ocB9LEyiEVQRDEUd5jdU0dEvmwAV60kmbMyPXK8JU4ho8wdKk/vCB+oSXpEIzEhwfOzL2hndWibWyvyZndsqt1t4KG5sfRLB0N3rzrRHDBCp7MRDSDQGT9glmRNzV0dXqDLhD3RYJLfmAUNvztpub6QVLM0eTt2UHozVyCjJAqyvHjDR/ii10tVWSiXEvRnF19Gmxu3b0/n2aCfZqre3j8sx+OyKIxp5rMMYT/9ZNDvSTiowMW5JbcX8pLHuKbIsvHh9PBwomvM/SJMCNuiyjyvTXugNLETOvwElJnPCq/REWBljZmkbgDjtT7C5hugFqC7kS8Xjz7YtgrwAjH0wQTAXUI3BNspEGTdNgrSeepEOJmX41A7sxFOy6QpOVKDgBESpZgYTGilObQXd4FVh6IU29kTsK9u6mJPo6BK2SzjzmjQlq0lOYj3BqrCNxwhMjBhT1SBCLl/jJPhsH9ydWV7bSOf76l6xtQF66RMh2zyCqSJ09GwKPtEllDxJVLzUt20CYAL2OXoTbIIWlx8aulAYPvoZbrUUTPcziSVrMfI2ZBP7HSao0EvLpjg0c4Th7IXx3Uoe2lPVUVT1aZA+DPIajwbJKUOi+15CmR/FptSYoGhERQCUmlypgZBo1TDWtVK1bEOG22QneiwVoL1rKDQZpyHIpI+HKBhyVnzYoEoxZZgpw3peJM8s7FbJPXHdlxnX1Mg1Jal5gfkQENAPDsi2r2T7ReZ8cLQancbDieJAAAgAElEQVROIcok/zvnwdW94qRjIfobp4A/pEADBMR02xLIOfNy8Ubyu+SEUvYdc6f2xaP43nCBbfYyaT8oMqy9OAmqMr/4VHX6Qjjej+/fDscH/Ji//J/8nWfWvMmdz/yTn/3YxUdO37h67cT5x/x8v5KjpJndvLd3+qn3/uD3/sXJXP3y//yR1/b9c+vxlVu73/O93/Nrv/jTO0WwOQqu3dg6c/HJdrr15X/urzWXf/3/fnX34oXN61dvbF54rJlt39kZe1+kl1L6xRdfBfe3n+im2ZuAcV+XSCpSwHNFGMlerwfSBRVUT2uQQmlcRoYkHnm9gujIto2E+ePOm0+wqDBADgI2MaEBPnRlPKVW7NviSeQL08UJm9zn0uSQwk/ZR4IWtyaNBbkmYUlSh44xBwfYiyYgZK+l2ECbsMkCB7gp8mzZ4pSsL6Gfau0gMXrEJ2CfgrXIBk88d+N5Mddnsn60nFXHoFpIB1mOcbRA24yUBzBoWvPHx3AOhCQUIwSHppZxEQ8Gqysnxrv35qaAaY/VABuEYdTgD2vYhcGl2iP/MwsR0/1m5Se2UTo6p3SSwoWesHPQdVSNhePP8pePQBydCp2B4EVDZsfIPBqmYbJSqqxrHOyxtdinYcjAj5x2oEuBetLTUiZSqjiCGYGUAj2vEZocmNjwzVoEW3KqfR50sKIzFCxreB/wKEJwXpZkBwfykAECYuDAZltJOwmTgbCIIgNIadSLRKi9gmAHls2RPrKTTWIKRTRQKD8t69yynTo6Y2dNiT6b33EL+3NiJrOALBGZ3wQ46nThDxxsTm2HC8yl3xluP+CzsLcQLU2mxx27x0GKclNgHlxyktmSVa51drM5Qsvln3NJbDSEFWgdaZ/vf+tfHVx6ydeq2jxz8rd+pTp9Ye3jH8ueeK7aPNcV6MFgaNR4bW3tg3/zb/fMrPf+3adf+Jpf/uivfPsHP6Cr7O/+Z9/nh/Htz/3OL30u+OA3f+O/98zXrcbiF/7xj54+f/HRx5/9m9/xnYM4+Nf/6lff/c5H//ef/ejaybOr6sKFr/sPonr657Ltp97x1n/+Ex/5Ii7Qxugbl19DYqYPZRrUEbAcojWH/xshvD3ITyjSwrHFOdSH/NwwxQbFlb7AmTYMb9u8GTrAcgEAMZnqj2rR7WpreA+Lz+XjsK3OdGG4QlR+jxEMJ1MGAcR6kNrxLwnk7Kjf9i90e/IC5OkZcSQIdqHnCLKXfbgDbLH6DY/bLNrvBtGWLw+/PKA0QELs/NuNrfhbWErQgyM1cklf6sYfekLstAgSDHpRBSKMYwlKQzIcDvv91Twfww2BGMRwt6lQl4HMIAmHektsggSZQz9pE7KcWHfZjXoZFX/IkGZhaX/0k/Q+OfdCS3BbVHBba2hSbc0vKcaQqJioj3lRFHWla0D8CEKiprWFMRtjI61qlEaiStBCjQxrZsDCmBz6WuDfEHxCpqY8lnSdIOvaSXlHQTjYq7BQkZ1YFHUxr0qQJ3XTa0iaJD34W/AGSV4hALsINJJIa8Q8Ig2iBD002nXR4vCISWBLBuV2SQjYL5GzOMJWIkzsLYWY8BMOUuEABAqqItM2AWoy9TGUzkj3D8eh8CmQthV6LE07qThyJ0If83p3xzu3cqjJ4HPdsbcSaI4z0ebmw0pI6cajAbglqgExwhTfqfg7ZjsLseziXJr9ep539hd/8tZ3/xfhwc6ZX/qXWGe9wav/8GdaYrxu/Pavnv7ln8bPMsVv/er/+vFXb37we/8ueBP5/PdfvPzNX/81batf/cyLs9obtd4jz73wHefjl37rF1546mvvXnnp7v58VhTsPn7r9c/szJRPRLHpdLoRhj5FyzRNO9u5+bnLd70v3gu3RJVV9E4hVQuNsRUcMXvQFkSiM8OQvDsdk2QARjAYD9pvxUnJTI8hfhCPI2nmxPcRj6atY/ay3MxZWTqeUCdfYsC3s3Bznay1ySSfB4sFd+d0u47sr4jfAYdjmkPZ6ozFiaMmE925abC+gJb2RtoBXgb0fPm8Bw9gUKLhakfTVtubdEXZyVX4nLlAmN+MYqXjIPFzJPqjjKXXi4JBGgxW+unqipykrVdw+wx7RWqdmH5K+xCoBeS5gA2NzvpwobQbCTsNuQ2HZ7qWrEtuHYvhED8D10TzyYZfNzqwuPbLVmM6VFC9QSwDenmNA5hWJSa3VVW1RVmV5GOCZI2yUJgDGyn8XhwmaRymSRRFdMoBDamudW0UGXcSzoqZOuk1YFpKz5NobE594Ije/C7y0+LECwokqZUqiryuQZjTLV407Gx41rrhYCeuWkgLDJVQEk5JgYCZUySQ3kge6HwRLsOYGydOysgPoziUfgSrZB1T5iXsKQOh65pS0VWKfD8vkm0kAcQxYM5Lv8rNeNaWdVAb3xjyYScPE1CSfIPBLlyTyOKOAG5wFJnj6Yjs9D7Tu8Lkas43eLBA8/LiAZ+d3jJ3nB7eaT2cKL/7E1uEhTU62MqtBvtPjLnwUx9GjAV9Obl9de3/+Q3+0sqnfo8/+OhPfiQf7+mm/cV/8eHHLpy6fevOuUcu/vruHZNurMYm015x9Q8+8j/erqYHd7d2f/vlH3rk9Mrd3YN/+hM/sZE2H//hHz53sn/1ys17dy+38/ErP//PLp5du7P1iQvnTty8cXs06r0RYvhFc3EvhlJLVAC+l7mrdbdl50zNRq8EkLG5tEO1+MKgmPM43LnXOnpRv4NHsKWAdV0lQcqSLfUxUgDt6Kwm7YBVW53pBiWuiZPC2ccsGEiuReREeyvQtB60sFxjAj7TIy1JgfFfWmg8bmGfDWu7SEsbczfIX7rT/RKz6cEp3BE8+th9s2zNfOTRS3GwAGSjoBeKURr2RvHKxtre3sATY34RKciVY0lxVuf9icOQKK8GsC5bGJNxNB7HshAGXD2PbM/sxgfOaNePWrm8pfosyYZ4X7QhH0gEbbQBrKsQXAapNNrUWmlTlJj4lmVVl0VeoFIXVWk02PlVWRqj/Fb3Uwk7/TSNe8hLFKAhQwTbNH5RIEZN6Yqs3zCgYqI0L1QL93O82wJyx+ojsTd+CQ1vSOIAoeLjadQqr1TJHoTMoA+7TZ/O/bDyCFpKS6HYRugRIxnGjo0HSRCfBvnJhLEYjJrRqujHQS8MfE9A3EVTThppe6qu4A0VeFHgxSFOBEyIVRpnRKOb0N5nRihPATFnZ3WDAAAgP5rGi40EzbljdlBkF9VlpwlnQJ+T9h5iQohm9pivVTfBpfsG7z3eb0YKu5uZnhqlkR+Rh1pHgiWoW+D3tNfg8iuDy68cewaHezv8QZVNXntt4nnepddepU9M+QtNlV15/XV+zPxw+9XDbc/zyr17eKjnTfbw5+1rl/gBr18GoPHa64ee5xW7xzPMvygv59vC6gWealtBUPcABhac6Q1NgPkmcTimM9VmVatlodvKyICJVW9ylJxtlzsuzwK2cxCEzXSFUJs2BuJmEQmVjrcO7LP4CYs/rZcat5MPKZOO8wvEBjcLQADKJGYyrDMScv/SDYXA5cCdr0mXQ7cZnSrsRN4GzNq4SZcK+cYsjjccJHaUCXIqQMgkKYDCMI5SGJLEcW8gQFXHVgpqEBMEOAhIWFaMVVHDAFnXqmKAHYJ8dqOIopAAK2sM33X9rJIWHlzySGTEr5LdVA3RGUji2zToQ2nghjzKWTaH0fA0z3OwLvNCF0VVqqbSVV1musoVAueaUkHCSblWhjT6cG2Lk3CIHLW01x8k6QACURl7bavqEv23zuGBYbh3tk/YvTxOHraw3KNya3nHRMkjiYJBr4zUcV1VsCkGJRTgy4Kmzd+JBiE8TmOtZpTESRL3eoPxQeC1muI4QMTmAIQwFL00GA1VL/WHsUwoPYQwEif7N0ETC6Z3ysADXkNjGAPA0PLeZOSFYRNF2Gs55tJDBLQTrVJUEFFxGgpCdYbxFK7UEFePkTY+u3L/8eB648wEFtij7naJSqR4Wjj7OfTZnqA6dh3TmTpTV8vrcOFGg8EgyzI+YsPAPmoufgPX1T+7/gTX/uvp+HpiRf2+n6ZpA5boYuezLaud6Hc6+KWvdvErTtVvudgdUZaRX2YFEe5GK8F00TLoO9lBm5FY294tqxmsNLxbG9inrdMWaRPZTZJFInTqQytsvz1B5vwcuDqyQW4X5ep+DFmsUD3jWA0+AxCuaPVLtuYt1q2zsMEXFGaXfmMUzhmuK3c9N7F5HyTDL4EdD2WqHrsWIzg+sgsouUMZJGFIL53NhScZJuQF4MAKhAkEAD0K3w+U1kVe5tBpzI1BsJ6ACkQmEZjsHOWzGGsSD0x4fhzFCdyfYgnb1ghqRqTKSVCA2U+e1Jk1bI+JsZ7Dr3U2mx1MZof708mknEwzmAkRxAGHcwULcApsoqgNBvFhi8QYjj8vqqwsYR0ymSTxIEoH0MqG5GcPiwzoASmf2Jmwkm+7DX6lgDkb1kPnNn4MA2tEj6TA9xZ5EZX2VA1lFM0nKRQQNGw73OQXICCzLSzvwA8RY9gmEWy1KfHOdpCYJJLfTRxhSCCFH1q7J7tLhC6IEmgyLELxaWTDUeg0/w0F1w892NP7YVyHTVu3hkLDAEMDG+dgEGKv86gV5Zc7GzaZwg4HA2eS2qGGs4P3Qzg4mGd0DkGsa7e5qICPbGSfm27Tmua2y2ZzEabkjqRdY0G/68mTJ8+dO/fe9773lVde+djHPlaUVE2q9pVfTpdvgChsa4WfIxF1enzxL0+f+BPQcjoq4he4jp67H/y7W90PfM59Bc1edzL/Y775m7j+FP/kgQsvYCDE2bNn3v72t0dR9PGPf3w2m1H+APAvttfiqskdIQusj/1okmnwDM4irV3aiwOnCEhzTgE0L3euMTQ5MRihuNQ+Qqk7LIU2ezsrZnodb9ULolZHM3IIATNGlzwtHSJM96hnGXi8rzBsQnoHyuNiFasbf9qlx7c6rGPcouQH8fkOvwz6mmYR2mcR7I7VgGJHoDlTqDua2rLG8A3Jdu700EHEooazAxEM0QnCt4QwZtM0kAJBA0l2RGCgC6lq5bVtWVVFXhzsHRyMq7yatkYhqlMK34v60YAt3/g1140Kw7D1TBQFSZz0+/3BcDgajXo96MiTtEe+YVyhMR+FmYnSqlJZUZVFUUyL3XG5e5DNd/PD8UFeZVVd1KokONogSIwMjZnG0b1lzMEAE873igwecUEQ9NMyKudREoVQEQe69SlwR7MjN4XeEU0IUybgALT7sr8ztwuYOtIj8e1hTuJEKJ4nakS0QPKHHhJzFmjM7cTbpbM43bAXCCP9BvGxgY+Y7jASVeZO/IEM/Mj6WdNyIfwd2yX12EjBNC0SOOhzdAwlJI6WC00cCS4DTk2mcrKVUB4BuiE/GKDtXD7JTcXauS0WBe4WKtOwOuCTEOFR/I/IYunYciKpsauFXYT7MQq/9fxwR1w37VksSSs0WmIsbWxsnDx5MkmSzc3Nbln3Vtr3XfCKtNm6hR80M947H20/c9tfW29Xav/qrrczOwLrrW2eX02byWSu26DMpr3VEyuxv30w66eREF5Zt0FbH06zY7/ScP30idXeeOeuF/Wz6TgdbZxYHVZa7d+7U7ArL33zx554au/eLZkOpWizedbrp/NZMRj2emk6zpsTSTWt4QSYz2a94TCfjouaUL9k7alzK41WO4ezMJL5LPeipB8gJqEolQ/0zJTk/NBd/dUTqz0gZpPD/RObZ7a3d4bD3jwrRatObJ65f/dOBcu3N3U1bTsajaqqWllZee655+jwVxsNO7Ea8CBubQy+8Xeau9O1aGydZPTYbsHHzYX14OJNWGgUliT+DC4vsNkljMv9h853D+qGF0Y8jAtTK7Gw76FBk9WY2W6+wx/cD2KaKqLDuPlxLFpmG7lfxIo2mV3gngblkhN9dUk6u3jyC8oxcwM57rJrnztpwptpn8npkdo9eo+aotDFXNdYIsCW2bWSotQhGSpLhdqkKZDemCzLDvYPZof53mGeVVOjFZWGVoowEgdsuQTPqSCoKfrUg7u03+/HKyuD9fUNVSu9utIbDFrPT+IYuya1Vja/VKmqqiDxn2XjcXb/YLx/MCkO72XZZA582XAQioF/Bk5NJNIG/8Eam1rVA/tnERoBMZLKKetdt1Gk4TjT+CEqHAsk7dtB3GeL9wMKoHM9v+F8DloUqA6dbmEPDfsoXhSWwI7W094PBJ7wO9+5lQLypgBF2N7xVNDRNQnFJwIz0SxwRGwCobSHdGQQV42Er3lDLT6R8kCFggTP971wcYbim4IbETBuGEeioDP8EgyTsIiI/CTsrYEO33K9F6tuefk8uPFbCzEGOtwthL2EyIMYyLhsM9qyYI9t+XwL0boT9NDpFc9sZXXl9OnTL7/88u7u7o0bNzoX6iBue4NWaP/tj7d3Z97jkVcq76vfasrKF4X3uHesQLfz6VzKPtiMw9P1MPFMs3ri5N6kGK6stW21IaK8Lh8s0H4QpEk4jkbnT62O07iCOsNkdRtLf6lAtweH07WNdaNFkEajlTVVl6vDYdGIlUAftE0T9U6kvTw/TM8+EjV5oJOintN3F9LXOpCj9c1EtuvrJ3d3djdOnQqFrjXkvfdvX+bTQndFYZjNZqPTj54K20Ev3ZI92Hv01xNv3ouju3/CzvrmzZtSylu3bt29C4JKlhWBEGRkTx7LUbSy1j9Jf2FXWaJqwKoUZ1syKsZYyH3ARYQNMxz11eqnHG+SgQTuzR2o7TZo27labgfbpFjKx7HqTCc+opWQxagzhWm81tqjM8W+axC6mxmQqiv6towSl5jJzpajhadGf6PIR9t3EY+BH8ZEVfod+MlYLjUTc7kWL+ukXYCsWytH2+cvcC0mriQHUhVe46ys83kxGU/qsjCRDeqsa+V5fqXqsq78Isd7ghjPtlb6cFaN9ybT3f1pPq80lJ/IyyC5Mr1EyGx0PmWBh4AT6DJ6vTDL+iCl1TVbTZF8TsdxIgTFiECe5xnV6NpUlZrO9cFhORkfTicH1fygrip0vESSoFQ9poxzLAq9RSRLZ2kpQ6bMhWSavFch3Bk1PW5MGKGckNeNjfuicgX9IXXeqLqgrMBgAE0rTzOWB2B2pBmQNSYaI04oYw5KV9ecxTU9FeBewQJkDk0oRQg6NrzJCJTHiV8GDbp4/B5YLnhZ8T7gsBDSp/DrG+MHDaZ/IZhDCOAOKOKZbG7YJrpWbYXWCNQpRA6iPBO46LihRLxjuqC9HfjJUs4jhYsHPqLNMFxgPArKpq3d3WMrioNh8D3J0t/OkWjP4XfH4tFLFGsLRy+uLgzU/X06mbz44ovz+Xxra2v5C8VY/ManwFIZpG0Cc0hvJfSy23g1oqilxKIjl6pmh3u535i4aKoii9P+wcEl47Vb9+62bbO6fioVcGU7dmWHO5cOd4Tv3dBVMZ95QZhlceA30/IINmJUubdbQBYBRK9NkjjPy14vnhhw47cyuBsbo1p/fv6Rc7WiWSQW4vTKjQNPhI0n0tDXjVdUqiyyOA5L8sasHoh9HO/vjkaD7ZuXk15v9+AuYEFV7e7u9Ab9HT0/Hr/8x11Cmo23vVhm4vbtoef5vXRQlnBGnsymsBvnSTK9axhVExCJ4VKI6Mw4jpIkXlldjUnmFpH9ObXZcO2lGl7ZP+kjjKmgTlCohyw9drM9bNpEGiI4iFpS+twicsnaY9rF4zghRHledNM29o7z96jqWsIVG45gHXfmEvSDGcGg7+YoZwDKiTdMTbU7GPPIBndVN0uypkoI6qImjseFzt9gKWNw4dvl2Br2PbJJTX/cxT0yWI8M5eZFOZ/Np/tFPm8CkAG0appQl2WVF3VSlMo0EdlzIGVUt+NJubd3kE1nYKyRkM2KHlGgcCSnDpeeD7kv+apBCkiTNHXmNdBbx+S0BZAV8LSIYiIugPkXGCUq4ABU/LwGVptlxiaudU1uXVbSQcgLgzV2ZuwxkQTNHAD0gEy5LNuWbIS8trYTY4j84XiHaWxrVGvghY2nz3aFPBFgcIKqB7lnst0lQ1fA1VqbNouMFS7yLG6imm437I4EipVCZwkh4iAw2LGiMIrTJB5kwZQXTCBI5+GDpEk3PfgUNGHEz2fiizYKAVb4jIbljKSUUDKNBzRG6AUs0JGX6Nd1Oy9wQjKK55T07luuN7XzYZSGLHeHYRlqsYxkEOIISA4H8MbB/8BozLNscnBw7tHHHlKg7QzE8ue6dcY3i+OWdjgKD/o7DQD9x61Ma8syn1O/efTStc+ZiFVtf8bkDYlM/KtqVeFf1GrS/dld21u3H3p7GG2rNierek2t1fGiiWc4PSJg4ZnbZLL8SP5YXbt8efG5RlGMEr40c48tK10eHdkd+y0mY/ysCknCuG7Sa1Mf/mkUNE98RXH7lWT9nDpxQY3v957+smeUbvOsGO/vjw8P8tlcw7ONnikNEkFkpZUuA2Srd2M0ShsCcsZBrRGCT/CfKIqGwyEtppCj53g0h9ERijc34rifuREnEVnDaArzqI4xguzzdgRNG9VKAXdWutUl1LE3DZGjybNiIY+zH3KDRZi1VXpZw8wl9qc7KRKuaNsLx1FtoNmjwrls1mtfLv5R3R+LgJVl8uAbvMVLf/IBHViBAdrb1NBqzmfZfDpVdU19rWfAnEVKaZ4XcZYlTaM8vyRaa1E2dQURP28qITLOkWhs+crk3YjwZpuqCLES+MAtugqvbebzeRRPRysrST9J6iSJE3Z/x7mFfMxaE2mdJEoPBgpZOr0+COJtS6+LYhq2JXAxUmPZyraXJu65XWAunA+7kTWipU+FTSOlaXE6953epVl+u93CcAevpQOSkypTik5D7iv0YELMqH21JMYFzbF77wm+QF4woGai2yGBlxaxaTBrBf+FABA3CmQUg62uyDAZUD3JWhoFTwEFm+4g8Btyz6Pw1xYZ3J6nNIICVBsaL4GzbCJ9BGzAhpJqcSQCvOzsQoN9t4ZstISv2ISswaD3ocmAdfDl37nIj+MBS9kER1Hnzs+7m/KT+wz7pZKH0/KFz5Mr75K2/s+u/y+ue5fir/wLE6P8136/j9zVfopUYbgtKw2DauVl7JfApFerLu1qmK041BuRvK+piyIvig4IXkAEsPx3mclwLg1xt8sITUHSW0HODPpwAlIIDqZTMaPeFPlUdx/D4RS1iez/+YFHVhrPXpzahToA+KLzrJYozNYfHDgbuTwyfcQGZPL95qwVLBBNhFdLnKN+Gd2SwMGaE1iI5ebcxVzCm7vhl8eC9nk+UJ0fcFC0GwVxrsnLWkEpWJd5ndeHB/l0NtWmQimmWgDdMk4uNfaMMKQKyuceP4rMyjq5V4Ew5pMow6uqWhtvDL/ZvK4K09Z2iNu2ogGDjCPn87Lu4wyUa73CekAW6uC1gNtD0CInoElqrdJqOEimWa/XPzGfjnWjmOLuoE7r7U6vr8RboOkQT16+wG9pHwViTWIXglUpurpplWmlbARGZ0F3kmC9Nag+qEacqWITYPnEs3AUoQwQruANebzBk9YxMezi7GjdTgRt0/3wrmOgKiWoGkki/DCm+Z1zkCYeNDEuaA+gYBNSlqJNtxAYRWGT26jX+qHxQg/tDRn2ChjD4y+eiA2WnzFerZE6j7dSqywrwJWk97dWSsDZn9YdQSe2CaaNAABO5/JNiPGSA/PiknzMY8vzYy7gnQNhR6QnxgoJyOm1FD65BtvyDnyeCjTrhI9cgzXwt6f74amT69s7Di7gKxw+eSa9csuyoe0T6J95fDS9upWtbJ7zZ9u9zXO7N29yY7x59tHy8O600OunH21ndw+z40HlX9zX/EB++t+MdCV0LcIIzFbrJQRFaxCISPiq9ZTTyPEi4xEN+Q0RWMsZO0dsNh2dufsMBVBhBfp+7bVt7lYTDT1sB8KM6A5LCY9e/X4fWTBg78boaqAJRuwmem8QWuHHjzqO7pyMHkgAgG0GCnQ72+zGgyyN5NbfdU98RrakbJ6/UIG24LsNH6LZCZ+USekusG0RX/BImNSirThie9GV7GNNx7H+2rFQcbGUAoEwSs9LNZ/V49m00iWAASL50vDN01qRy4XlXltTtlAkSeit9sB9Js4tqVbMNK8O8zw9DIzGWYzVxnyjEXaAtBNAFgjf42w9xelEbDLB3SOOQ60fhiqOwypJkqTENCTph0HfbzP+RZm95PZLPDE70kR11uyKxmxEMgay8AZNEylfj963JjS+II0FZnqsVESFAnsNxZK8+YloxK8YRelaHr915cRC9e3Yw4fwBFJpy+gFEwLwLvELuVS1wgsaQzCWB4skoLsNmNkIpQSiQKgXfkUk2pBDCP6HTpsoesKDkNAStq3QBxa3WjVagTuiK1NpowuqxLWqy1LVJZSNgNKJgeY6IewAkk9pHDxDg0O2V3TmMPT6Ecwj4JRN/tE8nT52ScYQH5wfsjSeCZdMBOFnTk5OjvhM34/B64bAQhwgWLm+dK2cbL7sGzOt/M//4coja+e2d8fPv/Dei5v98Sx7/fVrz77l6SSST3950BSzy5duPP78225fvrt++vT5YXHwsT88c+7i5vDR4dlzt9NBb20lkF4vHV66ln7d254Z39+68toRjPtL4Tr1ePXWb2j9KP74z3nVDLcuZfagE7NBldTSdId/6wdEcs+uYXSipmVrK74rbFIc/7/bnjtlHw5KVB+5zeB/rmFhg67Bml/buTFCBenrYE11em5gKWRCyVxdWCcjIiBFGArHzZCaizNT0aNBsUEKZDorE1puP9QUAsCybbaCs+YDztqILZa44hKmiVQXcndibaHNse8k2q53ttzsB3W3b3R1VZ5ttcFwJtlJVZusMpN5NsunFM3nJrGUUcJeBew9wgrjMIRmOoojDkyAepDgklqpsGlFBecTYEyo7Cx5d0pIWE/iTddom9Ey8ZSPWe9sSR7AtRVsXhlEvkCAOPshvCkAACAASURBVIoY2nQ/ABwRwAKZTFlY3cZEW+ZyW3SzaTTItZYtaX0nHKhjN3j2VQHYBSiGeISuM7een8ANPMsyc8IoN4VwzkcEUwsCYJHhAIkIbW+8dOlkQHRyqtl2RzRKEeAGBEGT12Ik5drqQLSnGr0CP1IsMS8khw4nxzNtAw253ygkEhkke2NEYIpGV2wLhVEgsWuI3g2jMURzWNct6ynuqmVAgA004rSPcFQKr0Oe9drlwmJzgs+xe3HmAKOOx5aWxGQWRdbeo5YQY4ParG0kc1rpW3MrbZXEvO/DLcH6VJN6qsXbfuRnxG2ZiSr3o6Qdbpx5y7Pq7MbKyiD63KU7w0EaYI4Qbm1th/V47dyTJ0bJYRLd37p3duVkGkvfZFv7zXZ2++QwboKgl4ZKKSHjQOeTXMVR5JDiL5Ur6Td5lgZi4/x7Rnc/sV1X6EZp0IDdnEiTtkGm24031gWwx45FfD84ibM17rATGfeDqLBZy0UnPLJABCkFLKLAI0Dy8u9iBqybs6U5I7uCoAhaV8YURVnYleNc6Xj6DvIysaIYVMEB3xpIBjKK0KGTv3Cv18PHEYb0jDBaS1MXfIo7h+sT6br5jO3Bu0EkfYQbNFzisbnhDgwauZSivHysOIJjdLjH0tePXPxX4+GMr42ptSpqPS3U4eE0m08QGksVyglMoCNmoB9SOynjNOmlKbHDcL5mfiD2pbYtlcrmdT6dl7O5gqaOOrMlnYDVh/HzoCgzK/0kx1cO+eyslujFDiGREJLURy1O70IqIN3UY5G/B1iPDVpdmq3CmSKbn3nlle/Wqv/4kz+/sfFpaw3Iq8jnMsn1Cqg2yZHwRF2iBdUNZAHTMY7jZ+x8uPPdp/efdZABcmdCGaVpEoax1wpV6WyeCU+WRT1PshAcOqLqOPkhAQt405WCJQhUlQLZa7rxy6w0iINohN9I32BPstEmWng6wpkLKc80fjXgmLQKM1AEtWDd0tzE+l+QwIZaf3aYZX4gkYbYUZztEggEhu+VLcgLNmcn7rMyLxYEwirpYeAwljwzBPm0hC6A5PI8pGEzbitJtTMaVqbSbcjZt4BmBHI5HdkWjgFL1/6dwAd26d15tbnz6q+RFPu1zvr6ytUr3ceed/XTn7CEPxZv3zv8DH/h807uwYzA65fsw77UrpsvJS1Mm+8U+uSZd5zOrs3KWZVVRVnWGq0VFSPnGGe135z765IsLX63mAw7uyHHwbCUYjyY461prM6VGooFy1TrpMY2kXjJAd8ZhQP55SVny7oNKiNyAWfPM9ljCV3Bba8plzYgflXra5aP4IYWWGp4FMh2+Dx12h7ixCLkHRHaggRRkttRNiBaxFBijJNGcmU4DGWoaj2dTI1qpuMpenaK8OR9i9t3vixvdvkzjsbVfWx3JN7zCIOpWoP3gdgwZaFmk2p6uKvLGRFsAEO4FwQvJzApgvLjJAmTMO7HHKwO5hb2XWy82ayYjKeTaVGXuefVp0zx7tde9qLwD9/21iJJqgotM25RAfPuNO4lSY86Y9rYaIzA3G6nACKYiuioDTiOAjAs8sxQBVugrRIbKrY5RNiwwyUQKdFcufKde7tfCUOFz/9H73nv9wtR+MR2JsjB0glw7wOqCan/lZCUwNsPFRHPB6MqwMTdUomkV/WqZ5/uU6o3UB1o2fGy80ENG3+aJm0b5HklZUYnoWEggySGxhy5jkg/xv7t+6LWbZ7X2byaz/LD/YNgOmu8cZXrfJa1phSikRElBXqSUG5CfwhsdtknfJZCHSe6PTe1AdKNYRHivF0dEMSYG9FRsKfwQMUnNuFCtMs/ZYHCsReNnVbwXUWuj3ZJHLvfZT+lOSEtR0wACEemU0bIfRCM0vBIC25wqDUF02ILgE17AGK3yyHGsICVZt0VRVG2DQHh6sqfoBK9sdDvzV7O/enfsivLgXO90VfjXnPhLWVdiE/9m0n/RN8beNuv3+cIFYZwlx9suW4MUmDlOK0HC2zh92nVHPx4B0Q7LRLdd+xZ+0YKT1pl1uyeOxl+ALOdeWcnIMHlX9jytLDlXeg7FvoXyhxyuhdJbakPxi+LYi2CYc/2dNHRvq1q5VcVKVGoMadVzdxrKoWiyddPb/bD8MJodWVjfWNjfT3pJTKIiFxMXAQni2bLze4iT/rOaMjG5y5f/DQMRVNWVUm6oWI6LmQ5ObWRDKJHSMig1nraG1VPP9kLw2BtdbCyssYJ7thCRNioRjdVi26xwamorrNC5XlV5qWnilQG8WDwLS+//Mxk4rXt2f2DT77/a6uqMZWi6ob3UQh/ZWXY7w2kHxqjkW/u+7WpSwkGXNPAyLsqqqyosnmhdSl9M+qlZ05vrNaxJ9peGhNvhEl9DXp5yL01wiGxEejHH7smRJum02eefRrfmMNPLUPdrgE6enRpuiypJDYT8bhp9AAnPyZd11Ut1WR7B4YQFgMhDyneNCOig65vbMhQrgQrcRwPhsPBaDQaDkeDQYwDB0II3aS6kcgv9tAgwztJRpGXRiKNwpJPkoQKYz9BjQJ2QumIxNxjih8AdgNCnick4HLCxhpfB3AFIeyK8H6AFwKWVljYcFuFwyoIJwzNO3svam34d8e7Y50EmOHJuLSdTIPZJ/BtHxBTe3K4EgofltqwJsHtjebfonaYqzjVL+JbuMWy+c2UTO2FLZTqsGywVtyYJnRjxO5+PoZKL1+bp+teIW9M8ID1NT0/lLXnbZyqvvJE+zuvxSUmn1/oGg51UwSjk2q+Hc0WLXX7/LNFkIefvgWyy5u6hHnhCfOJy9HauloN29QXr97vgJr25Em17ovXd4IL5+rsIHzq8er+3ejm2B4UhitqXYjRyVqW8n7VPrbSfvJypBZowZ/s+sLE6IvPF1c/3ds4X6+fVXuX9i6874LyVJ7lHYmte87cF9Mw8IiKjyocl2CSgJIegWfb1C0z0Yp10zal2PlT8tRxkXXi9FyU99PNpO1vwao/2uNtwacumI6W1t3UwQYOuabUCH7SS5wKlFq+aS0VxWLOFl7h50CoMncr9hTZnSA6Ghx8fDR8akhUw122DEAS5+6yK/vLopTu8w+9OuoLEglawBrzopzNptPpRBuVFcXNm1vXb1yvijkjjt6q9targ4OVQT/upSHNzfwwkjGs19D5QwShm6zUddXA2zPPi1lpauU3oCbGQgwDMT+12fr+ihAXH32ULDIWYgVjDFFu4iCMfaDWtYHLRxgEFWNKBv5wClkBSnnaRIHoD1P0iE3aT8JeGidpH/M1HGOwD5WVKiuTj7Ot3fzgMMyzWVnGTz3zu+P5ntYavneAXKiMG7BNLGObvSfIbNOHBjJgTztmr8PGgi0qmiaWRurD8SFI/XyYo7fFBA3wH0/4vV66ura6ubGyvrq6tr62urI6GA4Gg16SJCHo3qB4d6Q9FoCA7xw0MgriUKRSJBh6BMpU1EWgtzUaNkaELbBnAJ4YnUIgUW0aLwqEFJCxSIEH61Yq1WAQ2SqcVigRi6iIhOcwH8SGMzJ1iuNUyBGVbR0tC45dzoHBc4Q4/hIEjY+0Nqa3HLvkqQ0PhyEg974MEtYHKLzcgmwPhSL/1qYVGH/jwEpUDZqAE6eVXSyJfWN5p4SRvKnWtX3+mfKJs+rqa+nXPFo2RaBXVO8w+r3r4dlT2q/kkxerjdD/5K3gq5+qt8fBqVVzsBd+7p588rHytB/cUc3jG00j2l4dXM38Z5/Lw9D77OvJ5vlqaMT6SXP7avjYheriqL1y6D99or0/9U6vNa9eSu7n3vueL0aRV2v/+q3o9Lk6MuJ3Px8+90S51jevbAVJ1Ayl954vz2MtfufVuL+qvulZ9RufTker+t3PlYdbzd2d8LlnilP7Ya38l7aC9z1bzQ7lxnqr2vqs8j9/6D+10dxSzbseU4cH4fWsfeGi2tuXJ05pk4vdHJ3llZtx/sftPQ+9br6UvvCBia78z//eQKtqfHe8/vj6/FNzR1JyWmpWWhFk0JUZOjBSeqoN3ORPIl2FCpuNTiP82iVKOHcVB1hbVMR2wVz+bC22ppH2reX0Zjs5x6So8+Higmf5JJ2ZmXs2bippCc38fNBBMw7D7Zj1Ml2Q86yCtvvpXfV0vyPaGjrhc/dkXxZbE/gZLZYl/xpdcV8u30eW7xK/m5QxMFQ2VVkXxXw8u7c9vX1re/verYOdXUyNaDtbDVRbZQcHpjG9NA3X1tZ4FwXOkcQ+DKeaHFkr7SyrsvFBNZ9WlSlzjAc9v5Ghf1OrP//JF0Vjdt/91bPTp9I0DUOgNGxmxJ0+EO04jtOEhq9RIGMZgs/eNC28Q4tyktXtZG6Mp3QhqlImQRKEq8P+6sqolw4jEohDoWR0XqrxvKyK4rd/+7m3PP+JzVOXIY40TZ5LZFAiSQ18Shp/YJPioaJzobJMOCAnpKz2W5Q8GwzmkSqC2k7uNDlDioyJGMj1fM/v9ZN0LRytjwar8XCUxL0o7kcyCVF9OYnC2eNZZiZ7J1EAF80tkDwWyEBDK0McJOsh6MarJOiBR4doQtmEQvTDAfKOGxOFAU5SrTcv8yYW8wxp5n5N6DF6ho5jQlGEmMBhDMvJJqILKeTwrKVlyZpvaw4sSHbja7aOPJZIhQL9xCa8ZYMAm3mUJK2AfJ38SoFMVcYrS4hFjApU7dWYcwRk70y9MoaxeBjBH1irWIbYYd5UgfZle67nffJadH5NPbna3vKa3IjXtoKveKpqhP/SLfnU09X5leZe3ezei+XpchD4qtc8/0x5bt38wcfT933tdHYgR/32s69FoyfLk6H3u7eCx86q0aDZ7Jm78+Dz28ELb1Wn1sxoJH7z471vev9sui83N/TFC2YtEHdm7f6efOximWbRbaHOpHJrK7qlzTMnvVnhBz395ZvNtQP/8XP1o2fUve3wK99SVh4crU6vmZtbYaPF6Qvl3tXe44/UPdkO1sFqT+LGqEAbXwbtk6fUpavx256pdnbErdvx2fOlV4aZNFHYPLkqXrr2p+yvy7l47ff7qoRHgee1u1d3L75w8f5L91QJTbBbCHacwRYHNMFYEHcZ1CDnLRyXODXKRal0uDRnW9kChQ2cfIvoZMVfBHDhJhI2SMLB0NQ5L6Lll4dZDoF18gL+DwtHCEZbUOe66kn0I/JKZ7Mzrtt2ztLVaJrmLKWhu9kZRxNY4J04Dsgud1wutxTdB43XapIrNHAzovufp2p2Xnr8XbNU3LatNbI/Zlk2nc229yZ37h1cuX73+tXrO7tbhjIgbfyQdaPEjRunKSagMJiXNuOAjKpq7dVEoFZ16ftekgaj1VWwGIyRYXj5L3yL+sC3npLBO//Bj138uZ/Lv/d7kmE/DhO8OsR3oZjDBmo1nIrJnbhjj1CoYI2QydqoujVVY0wQiF6aJknY6/fTtJ+g4qOXjyFnUTKsD2fDX/qls1/7dXcuPt1kxWZRlXlWCgnuNqfDUFUlNBqZN5biDHIKzSw6bgyVN5BAWWpknxWtvcALgIPhUGTZwbwIA35LqUEkL2xrZ0HtKbQwjmdi14ut1QFs6ag4B1KEIoxaEYD2AdSi44naLZ+b7l4c9eOmF+tBJGIZIhicxpc8gU8SMS9ypb2iBp4HNQs07GQFQjUYFol2N7IrkzJyrMOI7/M53rKoGNzg2xN0cr5Xue9+YIHJCxupDAKl6zCMyrYNImqOJWSaQOyl8Pwkg1IOO8o8a8rCn8+hSK00jJ+a1q8BKHmK1BHSQ3yCzVz6465W+7fm3nOb5vWrcRTVB/typ2meu6B/71J85kJdUCO+Ow62tsOverLam8psZO7uy+sHwfTRqm69z12LLo7az1yNnnys3poHt1uvKMSBbIdD//5hsJPRcaP1DibBlb3gXV9W3rgVrSXtjfvhpA6fv6gmyssqcX8rOnFCnzTB67l4NjZnW/HadhAZf731X971inFw5W50a1++++nq4EB+8lp08kyVlsETF+u9sai3e2HcXL6S3r6rH1lrzp/SzTzcK72n19oXr3pProqnnqi2d8I8hwRWHIK8n4l21fNf3PJWonbs5JR/ouvcs9Xpx6t0aD77m6PJnsh35r7wBxv9yb0xjT8sMbU7/FvvHvb8tHIP3wjYhfE00C5wa99CQJYlZFIHxPaiFJDRcaqdeQV7MDlIwL3l6JRtVjH1lSwZIXiaQ+65lXYcLHunOi8BW5ZdV2ynMEQ7sXetDZa2BtbEaaZ72KnDFqWTsTr3jYnWSiJjxjot3Y2qzBG5ICoceYLSb43vg7HVYijafX+LlePci0ayKMtpXh2MZ9s7h7duj29eura3fbeqMuvXvbAlwf0ZhnBuDiVs1wAbuURRnpEq0G8rnhwNVvprqytx0mM+GrKzVlfDwWD3u//G+R/5B+O3Ptf8pW8L4xAQjxFeTd5GyJwk0wweebUU7UH8Sw3ZZ4v7t66BT5TzxhgZiBgUmTCA1RsoJRgsAd4USsX//Yceed/X3n7hXbt7s7hua2V0GEV1XUPIHEYmDuGbwE6XdiaBGsInFGL6Eb2agLQ2QBwWkCz+nwHMzRNqgAE2+cZOX4UQSC72/aZoiqzKMx1HdRzqsDQ6MMLXPr4dtaOutFlLZ1IV+kILEUQxrFr9MAE7WiMriyonmQlYQUwrpegl3soo3RiIXgQenoxSCWuUplCNqk2RV3XTRmUdydZDC43NgSAaLDse2XVOdI7V6pJdncGMWzekvaETBAVwkXG4DgmYeAjvQa6uYvgYBCClEhKDW6pFqjqYF5DXBP4wlY2QSgelEhkOYK0qdJaXWYl6XVTCGC8wOJ3VAL8DsCWXCzH43g+Xk3zm8+Fn6Za7soPhtecFFFFlrl2DYdNvfYo/6f2m/YAc/Dx96WrgeXp8TV6hO+bq7cVLsHfov3rL/ivPa37nj+zHl24QXozH46771BX7T+4fCO8mP6b5178fL57Zfbzz9JHWc++3/iiiX0nfu41PXt3jv/JT0vOZ9+pMLP1ceibjZa5h6x3wX7tPvqGD3Rc2JrW6aDdta3Q7uTNevbA6uTvmW8NqpSwI7Iw27YTAzeWOzuesImkJLfDoEGUrIt1f7nvRbJ3DV6zzpH0uHVPKMnl4Qk5QmxVl8/GVK60LSHT4gqOOLPFAOgMvZzTDD7S7BEMosKCg4XXHRO4Y3Z1BQSfDYRIXj/gE2LWUh9E04RHOEU2S3BjQdkQtMvbYfKrzPLAHFVRnXZRlWRZZkc/n84PD6d2tg3s3b0/29soip/1SHXlPibjGYmSiLZC/s1MfM6PXVKpBL9xGcdjv91ZWR8PRKE36URQlSZqi4U3Ed32n+egvjX7kQ8WXPde+4/nuRXNvOysmOviJtkTTIo4JHHLIHKsKMzq8ndA3AY4n+WgQojumJ1N5P/WT608+nb3v6/aKHK5AaIJh62YEggbBFYmTmNcI2QuBL0yIFvOpnTWKg9woTI2KY7ffuhuJ31n7MbMtJVIKoigSIlC1yudFHPfSuMSuBt0K8GoaHbPPltuGbZ4rWm0oc8BfTCmWk3gNvG0vhtKeDLw0MaN+u9YLRmnai32MjUnbbVpf1kHpSaG9uYyLUDRNRdlVAc9LukEJUROX4TsO+7E8Juu93tkuEh7C7TUfHfnlosnq8Vmd7ENVQ8A8rBowYfSEL2XYemif8bpTixEEsIWrjF+viixXxTzrV35WePO5P521VdX6ladAfPS1OZIbC9MJqH3BVm5bsbq+0VTZNCvobZACvG/7MAHzWjMYDKbT2dK/Fr00LKomCduCfDkwV9zc3NmB8vDk5uYuffClc927FGvlq1LMDyV1kM303uTsO84L6dtkaMtpsyizo9N1luA2ytr5RlvyolNtOeoG9QeES3OL2nGABMMh9KDuuMksEXtspKkJq2kdKWQ5dWkJtrDbBqq55VQdK9D8j1gK4O5h/hSrYwH0ubkhMzyYd0f+FW7647AU/IKUglpbpgo1eQ/SnDmKC6RagyEMN2k4FTPv1FZwYK6gN5C9VJZl02k2nk13dqc37u5evn537+612fyQTXRYNr1wCqH/R1LGEZwiuAoFgBYlnUY0OdShMwuEF0YUxZKkvX5vMBj2kS+VxjFPFGX54Q+lP/CD6X/+X1b/4p80TzxO+zOb1rMfEYl9GFAB6I7dSAOnNo2C6NzUFaJbGgNn/85nx7KmhVLiJz68sbKivuOv7JZF4Kl4GOq2bmQohIFoPmj9Omx15JeBnwSCDRI1CEj4eaQ89FAUuV3uNFRgi1n7Ndqs0WMzmky0Xbxx3fxDRL6MAyIOhnDO04ZUqMxZIqZNAKO+Lk4E3xOAfBNgP4Wu0ItiP0xkGMtAaLSpbBcDGQ7eVwoPiKImif1eBJ5PmsYJmmi81XSA8X3MNGUiE3LyUIQJumBOXp40YmGCkd20LYnCKtc7OYIzz+U7AgghRbGwLpONw7yHGfaD8Acfaw8NPAiLZNAX4txEWeP8fOIwAF5eoyWHi1/B+hpyfmnoEEW3JbkoHOlJorR917+f+UH7if9z7W1vfXZetkJNGq3vl+kza3rWRvevX+5tPjpa3Qin1/fLYHTi3Ga/rcQoqPY+dy3/wLe+47OXZ+vm/o1ZuNlvJyp+62Mnf/8zly9sjvpp8qVWoHuj5pl3Zbr2P/HLKw1pdGa7MxnJaJgU45wplrgdqdhhUrKwD3KgB2ea2NgFmkPTKcwhuUgv5U7E+uU0iyhh0GPJ7dY9fmFUxHQG+paMhgvOAXdQBzj/9izY0l1Ez4VqL90NnVSR/xBNSGoVCzHTOZXMLgXkbDjX4m/kvAD5FrfjBkIvqNMNdQkOUgBug0EM9fUsQCDbH/41+P44DjdxOQAju1VhFDJrCmRbfB8wxVRVZWUxy/LJYXZwMD2czCaTbHtr7/adra0718psqk0N0RlglSXtC2vI0APJJE2iMEhgVhWHcUKDqTb1vCY1fj+WzaCuMVETIiCpJjnNEapLdvLonpr3vUd/4C/6Ozvyn/9U/cP/tS9D+G3AJdiGGRBXgeXQjA2R4w/yp72gVQRG2gAwMOg1vfO6bQIzmwc//mPrTz+tvv2Dc6WjOB7qJI7CYDBIqxIMwryK87Iq87gusiJJK1gq5uDPwWdUkDMeF1LKUm/I0g7sOl6ZvIK4EgOQCNER0rB54fKDqiOlFyVB3I+TXhzFMAwIYAyH3YwlGjbekKmk+GWlACMCbOtQYvSHPjNMYhlnYDHW1BfDwVI6ZjIp69pYtDIU5LchUfNJrgOAnigoUrQBeflRF4DlY01Pre0uWS0Q1OFI1YA4DD+ORWHUhpCQE60PY4pWQGidGIgW9yCLgw5SKK0Sbzmsm0DnJt4obhCcY4CBELTJQTU+7E+1iJAcY5Kozb0a2yAdigF7We3A4to4qw/vB/lMnH4CsXBlpZ9/7i3bt25s50UWrD59pj/b3doYxTuTqZxla5sX/DD1g7avdBluiLTdvrt/qteOZ8mZzZUg8M57YjwrHn3imVUxJwCG2f9fKtf5t5TXPt1bP6dWT+vdWwBMyqyqsmqwOSymBd5JpgrzPHthDsvNsoUxbFyfLc+0TkiCyPN3i4A49QiXbepJZef5yIWNBORdZ4jTL+0OhCqyaSdOtHTgpXMtyFZW7EFtHdG0Mefg/ptWHR3YoJtguqel0uFL9PiAHWCEBVFgMCF0Y1hU4AdhXTdV0dS1UMrj4zzzf7kpp0KHlhaIKBkR03/sDLX1QJWDdR8ZnMANklOutYrjGC0z1BA4ndQ1PO8ns9n+YXZva3bv1sH+zs7B5P74cDI92K+qOaopfR+3mfG7Z41apQjCJA4jidqMmKokTtIwjlB9yVOwnyTV+rAGpxs0336/n8Q92FSS1zx+dzC4cOw1f+v74u/6680zT8c/8HeqD/2oR+6DHbuAJJkW0jV4/Zso8FTQUqQqmnMZR14N/pnB5BDgt5ZmOvM+/OPr73q3+va/VPoiadtYmZ6pVTro5aWuirwqs+ksjvNqHogaTqlR2tNxmmEQRQ4hpNI0VVmh59UaIiqPOmtCSRzExoZcgJ9trXbBaVgaZK1qNGFMgbHeAER55lMWFoodfOA8xy0ht7xMvQOExOEpQRSEqRBJ42eooSSEZlUeW2fApIVPTSwiB45HXQzuJTwZ0KP5h7K2kGYFjiDE2y9rCB0A7Qz6uBIb7IiW3so+IqSmtGQSnnZT7neXZba4IO7Eqyp8pX2o/UC4JuEnZFlwE6G+BR180wqjkcYVBa0S1NN4bYhkeDDwfdCf25BNxvAkFk307u3w9FPZYN28+GvxbHQrMPmvXLu02pO748zLRnfvRJOdnd3MyFZL0d597VIbxCtxOyvAZ2kq84cv3smrppcmrUxW4jbTchS3O5PqxEoyK5DB+WbzSL4orhufS9/5707qQhzcCx3Ry5/tzAanhrtXd+3sjMOpbItrlSG8wiCntswyzvABvMDuu0wusNZxROGQzJeiusvWNVhC7CDBtDaHDnOzBrCQ9AVE1CNbXN4baF6C2kr/Ftpm7OhkGiYx8kAhkXgOyIGjwhMFdPvZLpgIqpSGioJqQGKmjYInd60nQoijwBX1GxOUlalKv8xFVXm6FqTKsztW6wWmoV+FtZHOm6Sj5cEjlFhjTudlXd0QW0M0Yygs4PFU5XmxN57c3hnfuru3e+PefO/+NB9nZaVaTQmj/HZZie/iDxZ5k2qOq3MYRkkcc0gVKLHa9HsK80yX146IamgNUbihjASplzNkyXl+tNL8yN/3f+3XPdPEP/jf1B/60TbAtk1Ka7bJ4j3Oh2M2VGUoXl4QtTLxo0hGEhZIBHEyUnywL3/8H536lm8t//y31KgB9K8xnEniNI5lVKlY5hnAJfp9egWgpKQ2Juz1W1Nxa4ngQ9UkPVVgvlYHUgdC53luSs2jNXamINDIugTRKJnkpgzQwUyqrQszn2Srw6yOlY41gl7A/oOtFpbCshkhQzqs0CDVIhVoeIK9yAAAIABJREFUgcFnFAQJECTaGfCjiMuBjY6ooOh/ESDD2QSYAbAsEIQe0QaN8owS7D1I5lsu/9NNUZiKYk8q7qjKKmtXtzuXdKs9aBuNus8wHMNfKKPHwWGeWWGdQ6wCc2oReg2cWmCl1eDsiP9ZUL31IVCPDY6nvk82gto3lRamlq2uVAOohG7jymuPKOGa8KX/6yRlMnr5FHnbwvOmcxVLMZ3BGtmXkcpn3T/xdTl1M8V+JDwv6qXLn68OK8wpJpSlEqW9bjYHX8s31uB9cVx1IT7+r9bc3zAzCFov352df+cFxImwdaGlqtnBXwfssjkW46FWpmyF2mh7yRsHuikepyG7T1JqO2kHeO3DuoXil2yj6zdSUgocdvEmCAyAPcshBpoAKLL1QtI0iQBjZDgEWbEVLWOyUjRokOnOAskKcRHwSmfbHC/A2Alu6/Rbtb4ydJKjjGYeguEmlzxiAbyW+JGEkKyRoacqURUNSGC480kMx5mtZLFmJzoW2IEsHdN5dpcTvkyiIKJdkF5W4zVGK0SWFOU8y8bzamd398ad8dbNu9n+TV0UWmncwJiM+loAiVi2V7DTVqKYh6GIEZrgk+ufQJ2MwqSXgLjLhveAKWywL4fp8SyReybOQu2Svdu3P+///Eebv/JB///4lei/+8fND3y/O4Af1YgZDoWiF5gSU8mpKiYgF4rzOIr29wYf+fAj3/XXs6//egMVNbWs/DpjRNj6Ed48I3UcK58cU9HchTFwbSIHEVpCO1xJYneZ9r1ZLkRhmjxQSiisBzIdQrHgYxSeG1dNsPVoyyVOoa+8PCumh9FhMo3ENBRBkiQcxKIMRIORh8QJG0K/QNvIkp9CSyiuVwZRE6QptHhF4KMyce9I3oZU2bUWSgVVYSJptKeqxm+CRvrCNG1VGl2JukSqOGwUABARQkVEaSaq+oEw0BHhJ7pAV8JcaM5hLOrdzXdozdu3jlpmFHf2vXoYD7ofGillD+8V2hnkxARe4Dchsi4pGcaqIAEuSe1p7fkKwDMaE+WBs26a0DNJwEx1nG8Jt19caI/YPslvN9d00Pj9tL2y9aY1flR0vuIt5f5uuDfzN1faq9tHzJi6C4OdL/YCfeyS1AnW0xwE/jQwFZ2gXfqJO+fSuc8Ox+G/T90nNaXcaJNlDt2J9gDEVhbW+cSDPsKmrxJZjYq7HSkTtaEJpSet1Jgslpx8kI23AJeSgMoYSqgm4rPVpQIGITkXSjAABJzhwcUnwj9ZNdKvQ8G4Po695HhJ7BFSDEBki6dFkleyVuRemXNByE0HRYm8S+EGDQkWQYZOFGmJgs5XhF8X9qAgLIZibZXRrdJZXR/My/xgZ2d3urs/v39/587W/nh8zy+zFr7OcGuA8RqNEJc4U2RRxXQ9RxuE6YZMKe4ITTSFlMk4Trkc04GETTiPjkyxYfEZpSNS0n+//duCH/p7zc/8tPixfyT+5f/Sfvff4FGUJTtamg0BSuxgF+goFCaMmzD1mzZOwiRNDw9XP/ITF//j75m98B4dJUmEVGwyKrHwkYg9jxyfYYIca1+bftN6oYTBPT9VCmBFqmsDvWKdF9W8qgPZmwczpRpZVQE2aetbR/WZTjL0DrHuGfmD5L1GyHiL+MTpfBZHaToZDQbkl480WiaS0qmJ7OPoSOV6Vfb6gI21FGAx9mJAy75IBPTZdqTGmQSkMBG19nMlkkIkgV/2EHzckNMLcgxqT6lWmRr2HfBTYhIg0i+AzAmapPvAqbGFk6UdHGzoTGqDAByRxTZPPJ9xzqpEoQkYY2PXl+M3+InIi0Ivkhp8RD5HtkCdsewb6FLYfZWcovxGBV7deFVliqqtSdvZYJ8KZSNjbPzaQKsytwXi+PXEE+U5X9yc+F/xbLXeay7tBm+9oF65klSBeedj6rXr8eapuprKtmfWfP/Tt8LRin7bafOpy3ET6redM38wE/1aPLHZaGlOSP/TN8MHhQNfUpfveWGIzkNSCVk9OSp2pmxzRUY8NrWEqi0qLU1XHLZmPQ+xrqlHsjeN+x9sIclngBEPFoMRsoCbADchOmui+bTwDUMnYY98WJu2KDCQQPRn+kH40faGpOILihSaXmoBAq/DVvm70ELnRxB5GaQ9QrTZdxIIJcq6Y+nhuEc59nAkJ3AisSGdOHlAk9FCBWznbJpBaI5D724bnCZBu6MnSGRaFA3w/NEw5nUzLtq9/eLG1d2d7e3J4XZWFY0mYhk1MQQ9U35oyxM3S7pioKiTrlH/S25ygFYhdQOIQdNCnM1ZncHUb1YJ85DWjhA65+QFKbL9qq/y3vu+4H/4p+0P/lf+3/v73s/8bPNXv5P2Ptu88ZCKmcWRUmkkm8j3YtmaRMo2isKtrY3/6Z899re/f/L2d7YyidFOh6Hd2+1JHjLACA49xjQSkkAvDnxTB1Zfyts5JoRkDatqlaZ1nJdhANYtzEmqUlK8sQWO8PTd93d0I/CvSZPJQK/WpizLyWSWDGf56rysB702RU4AIVGRg/idCUzQCYeAcPhIPAsjLM4w7AsZOxZyw6vbHuKIGz6vvJ5EiB2+ECHeG/7TcBP0ySYS+ng6BC4uGjPirbGiA4JrPHK7tipVFk+5oTrbhKGnsq6i1jqB3EAxhSQ3sAcgjkR6SdCAzU2PRP8Lrhw2QU8oX7UNNN6BwugyalQglR+oItR12JiobdKg9aUJE99IHCM1ghSCoHi488a5dfPSi+lh27xlYoqo+ZZ31L/6h+l7nquywLz0cvKeLy9M612q/fc/Vc+N//rtsBe3a6fqJ3eiS4V3+15YBc1K4vuJef8zZqb8q3fD8ZeWWf/xy/e9OML+K4Sn58XKqWE7mVPDg20Vwisex1HmPdkLwMyXqiUnCTlmPUdlk0CViEqgelLbho6X8oNRagPWetkekKo1c++wBzi3S9QE4qE5mbilM/N027nikRUOK2GIeE/HLJyRKfUOtxFPFruzoZXNst2MNUwiyYFhazn6EjlDEYkIwEnTUtgT+2AKQM8ooA0pqhai8o67wuocQs9pguOM8vjgARE2oktEa9o8q4t5XZY5PNX8OJBC1W0bInNE5TDLR4WyYakEQpI1u9UA0y0tcU5lpIjiQsBMQOWMwCRge/klbIT/cLPYBxXntkb/p9/nffAv+9/wDf4P/VD7bd8RGNP+h39tmUZIfBD0jxK+eW1iklZXGC3p4OWXVj76Cxd+4Af33/Y2P0lT3jQ6cINxABhNQC4hMfVqQW+glL5WR5J8lAA50QEkSBjooPhwGUWByNqmX2b/L3vvAW1ZdpYH7nTCDS9V7OpQ3eogdVKOSN1gCQMGkW2CRqQB4zUwA17gGWDJBI/HMAvweAyzZoY1BMMMFslgMjJIIFBAUit2q3N1V8714g3nnB1nff+/z61XHaQqTVjLag6PUvWr9+6774R///v7v9DOp9M5MQ+YHoqBL4v6eh1gtpPOb5h8iUK0nZvN5pOdnUsbFwdLpS5o7xYiJsW0FQN2j3eFFZ5qH6AyILMYPyYNtrbGclONjB4EPydUBVUU3Tc5+8ETmtIVrOXYEdoY0tJMJGBy54PLXkS2q9alUg7su2zulclRtEZzxgRzZvpsLkOukGiQd5m39fGZVKB7R+lsSrP7MIMilKCepxJPHO5BkxxlUtIdkTrQAaXpZOGokksvBqIJsk1amEIOlYhV0XofhbRRbE9hA6Kmz93YPnHK3P+q+dktFZxsOrE+Va+7s9vcKDfL9No72+1NM9fhZTf4jVauXyzmSbz8Rmv6/N7OS/D5vCx02mjk5nqhlv391/uzG3pns7jQvEBb6dqg5UQjOG1GawNbcI/IRNMIGxZ2BtMRBsD4Ys5mCjT/IwCY7RDIAoGZdDoSnMuCFkhvse1kzHmRagi0kXfQhvb1ER4LC/I/u5H3Q7HFQUmv5El52eKCiB8osJhgAH5hK2L6k0brcOIifWQO7maND8ouZchQGEDu/3tSNJvrkYBBxYTdLdRxKlLUD6UFMmsu51QREzULOhiWZN3I4lnBwwDJNJ7RAXQNw9HS2PnlJCoB9rlLWg1HSymk1sejTx09deypXYxW+KX1W71eTogXTKYA4YA3OICYafNMRJcsunhGYsCu3IRF7b6smpFVJX76p+MP/ED6zd8Q/9evpe/4TlmW4m1v63XQvCxCVqjIfzUWxld1GcNHPrH8e7994Af+2fk77hTKDPAW4A5q2Mayz9mhHBOJBVtpXQA8YJWHdhbxLp4l7Pz1CicFGVGkDAk22mGgzHkKdmfjTMRjsbOKviKWOg82NeUwRLbCsK2b7uxsDVQ1QN5hdMp3AYAC8TCQ35JKwasxLjrvfIzQaBch+4YXKbI3iQJSBOF51EdTRsqgJdtFfg8aqylAuRJaFQKXi+CNXK5LH20MyTWp06lhogkJi2CFR5jz4hRwtI/PIB/raSkKQ5HgfWH2i/8xbN1Nl5E44FceZmjgpWeUKGncpILX0YN4QiJ6CmrAT6rBGS91Qmy5dZ30IP2VSltZiFJZMeqS90KXIzO1g3NIQ30ObsW5M/Ufn8O5YXz+CFYV2i0Lc4T+olX6BBTe+HwS8oMfH/VfoN7/eH6Rp9YN15UQxQc2zWXC+AvvoCgjNLaoL9NZeXC5wMiOZ1/wtCWQIxQ6UqobBmlQQVFBBPycFc+Q3qLH5uQ0eNigROKFUsjETgaM4c6FDoUsOVgfhTEFZIe4x8gFV0hCO3rqXW6OKGCKCzbKFSwbel+nSIBhpiSxbQbf1Bw5sajjmemaFwB6VzwHYspeXlL0Qn8ChJLYo9IDCKIAUGacKtx+1PAsZDt8AHNkXl1KdVUz1s4imUKoWpvlQTG+bs91a6uHDx5cHr6qrIum65bWVrc652B1L9rOPfDJR377F/+XPnCZ17O+ROdTgk4LVQAXgixRyU0YMaM0wuMKvBD0XL7cu/7c9cnLdPT0kpeor/na+DM/K//V/yD/3S+nt3+LKCvxj/7hopQTtwssmsKYQAqZ9/z53j/+w6X/7odP3XiT1LLGO6HLkZ2ldlnRslsAKZNVaQpkulBhLYyhAk25VnQjYdyqIwk8YlHga5WSsOuDdUShtPRgueRoFAow43PMzTr0f9jJoRmVLAoJIaL5Lo0wWymVzvq2o3gKemN1Gi7EokCxaLdCjTmlE2K/UlQ1MH4JlAPv09MODSt8v0QzpYRttQuVKg2uGi02wsSkC2W8CKUKhewKPaclFDs+aol7d8ieKthP6hl1zqtsfwtHBVEqe94RKIcnCNNGeC48RyUztUFQWMVLB5x+HGiWRA9lSka2TRLKJfI8DMjpUlbBYSkWrUD/AN43Hsui1toXymBbfPnoOjuZzq6p8vBYczHdBFujqr3tRiurybWzGSI5rlUk/Xl60Kobo5s0elCqUgqEmqMiF6ixsFUEdkyIQqVlpVIJ/X8CswLOXmgfKK4MbGKEr7GPKPnyc6OpaXQHhBUdbaK0ZoJrgST08vFsVUEBTuziweBrJl8T6TOnO+WDeK40GESVyjgkvhWVl7rIBWaSrZkybE5jSn6SMXajgSHhtPAp42SfbDBNI0Q8BTS5Rh8NvF5jUhITvIYpucMs3HaMULqohCmzNpc8yjjvWwmxVJpCDMQQuuEDe5co6S10FNb7+Nl11zpn2+Mnzzz1xGMphIW1EjalWdaAUkPNFH4W2Tb1XST/sF0jfNaWPMP3Y/exy/zq8hfgz+/4dvnt3yHe935x/33ynf8+vv1bsf/5xm/IXwYwShq4vqNnf9efrPzlu807fvTU6moQokDAGH0AXe39k3ueYaa05S0K6BEFLbCAZ4JzcO7AgBRfyE4r1CizkSC7dfPwls8loDREiEgYOy3KK0moMMsIpF4RyVHUoXCYAbit7UlI0loxmfnVeWMRV4953pgs9HiBZj00Qdu82JFRtpQl6caVKRKcVCGYKWiFxlSCDejIPgxD5eTz/QQMxJAjCw0H4aXtkB8YIFRC+C/dGDlRhgmqmdS6u15nLs0iCi6D7Ty+5etMWhY2Anz2lTYDGhwZ0cJgRQQtPKBLkoljnIlOAyc/iaCi1EGaKKKFZ60HpygF7EmVh31USd+HR+RZXklXOId91kMPlu++aY8YLLskus3trpvUK/tWxsOL61uvfc0rLp0/9fEHPnX9i27ZunQJMS4+zOdTJBK/gA+lpJs1aMLqIk66Av6xkCRQL6BLsLKwa6uUqAy2ShX2ZL5ErARGMkorF21nY+Nwm7koW48hGlBXMIsz55PHVlJ5enRR3SjhGXTpbDRLM/XLPFEcIdOI+iq4qMSo3lQ9NeVxkNo7U+t6NQ0pB2nLi92iovxldO6BTKGI7koj/9xr8kELgQbILg/vXzt2YXt5dXBwae8nHj/1iv37Tm65t7/tW2bzZrC25/BNNztnEcnXv7Hezjorv3Z7PVsHO6QOYDMcTza3LookJrP5xc3ts6fPPfTk0UsnTzWTaWvtdLKxwB0Weeo5AqF/Lmj3Tl73uX9je+FdMTdX/ErPPJ4tT7/8T1Wlf/Zn4rd/h/i9/yBWV8Uv/5L4zu9Mg4H4yrcyJZHCCbGw/e7vDN/3N+kd/+JcTckcLMPmvHM879QaMaS/W6m/IPUCUTWFgy6PCMUZiALlhZ1MoPLxvgupdbFz8EG1FjZDXFR4ZUJ9XXBdciwNvkBrEo0ohEvh/6nvjda1TTNVO976FJeBvMIwCJs9g+gWYPmo0Ib00IIpeKDEUPZlCcZ5UQuB1TeiFlN1p506YdrYOIWoopcem3NP0w2dQsLDMA2idah7XZIuYnQIVzsm0GWaZk8FyggeoVhZ/5SdCrPHb26pyTIM9xKdU092/2TYe+UBso/GoqFVCgZOsjAbhaqFMbrIkxPKfwHZFGIglGsky8cUuyAKnxR6a2Va4b00/QX43POoQtss33TPSoH8sYsmpeW71fpjW2r5lXevnXrqkZka77npLm1nb7z/dVGM0/T0u9/7oRcWt27XgU6UihhMwhpbjIZ+1hYi1UbWJlUKg+napKUS2H0BSWs0IoxrGDEKEYhcDBI+zOwR5pYaJ1ovpha3ZQuFR/JRWuJfEHOY2gpMogFwg1rESAGNn/M4P+PKeHsaoGC2zgKFIqcmM2Mkh6qRhR7Gfbk8QWpGgHTPIiPzyhyMQm49ZF6OnlmsjWvKbauuXx2f3t5+yfWHlJJrQ3P7TTe/5+Ejb7n37p/707/+yvvuS6165Nj5u65bOzk5u7W9Ac4ufI12JORl6Ih3n1Gqo3h+O5QUZ33oupZsPPHchxgbF2zbTSfT6Xy+vTm5dGl7/eKlrQvr7XzuBJJHctdJ5Yzp5sxaoP0KVF0Iuoa/XJ4awX6dNiM5keB5KvOzwI1n/iXX0ZtuFN/9j+OP/4T8+Z+TB/anX/tV8fZvwTP81rfyK4eg/o//1Tz+RPipn9kUQs3naButxfstdGGUCcobCSYw60bzO6J6TUuvlgHngcJMEVHiaEeD3xE6weiBEkGX2HVp0sZtG5vGd64BjWbh2hQpEp685rlDp2ExXdkcO4L1lyj7eZmUCfoXI2cy+PXQudYSQKdkpNDbPuMBw0OcxyBFqJTocoxDqAyEeLgvgwgaqhCGCXxCow5/16ita60syqhjNITBQNckWp8am5wDId/h9EkRjEqOWHoAOqjoErMIe0pe07mLpt7cc5uRMy+46+6VpXg3eeyN90xOz1ccCC6j08BcUrCnaDucITogYhR/gFENYYEGm0VXIUsllEl1KO7YEsEqQKJQZ4HP/5Mj2VMnn3zwzPnr9o18uVLsPD7d2ezSfLaxVHYbEzHvptM9t7/oQ+9/YDQaSoVSIl64R7ZcADt42lTLA3UR4MZAy6FJAx2WyzSu5ahCJ1sqJABpAXpVQTN0KcC9C4bDkGTQEn23x/03d0I7kCYt3QBoo3leBNiAXTKynQfL5bhtZi9FdrgjcHmxbctsAEyFeKt72cvusk0jNxpoTXIzkivdqFANByXFMCjMjWt7WucGStx2w/WrhfzEpemLD+7dW8m6Krasm8ztE6cvHL24/pcPPTq39m8+/OHW6llj3/nJx7TQv/Mff/8Vr3rVrXV5/uKZ/fuv9wE6ustnk/7kBCOaumjrIXCdI5cPrSGnOWGTEYS10VqCXi7b6PH4Mc/VOAaqr0r8uOY0bmxeMnrH2Rp8AKa57Op25bu6huMrvlz84i+mEyfk4cNy7970Qz8kfvInxatfk647kIT42Efle94tf+pn3XAkmjk93KR8V0paawttAvJIChLa0fujNpOGtCB3Zc4fKS4IA+p9A5nASP23dcF5NM6dhfDSIyfbxQjrKBYCcbYCkZHzycGrER0n955ZVqcolKdXVZOTNZOcp9NpURTD4bCCZL0kqIzmDimqgsiAAJ86CtjG8k5zPzJTzm+VqRQolj6mNoQ2+GHUZIMFSmUJCC9vB9Bsk+sQREgxYd5OwbeIzNpl+4WlK++4+Mxl76nFktvjVpcVvgyRZOvcnA12xYGhEibxsVJYHWi+z8MbOndUmDH0ZGyQb6YC8HqsZGpAXwLZKSZg6DYGq7xDE/28FbO3eP8sx8kjT2IeeGJHiLOLT26usy8StIgPfRJhshc3SJf4/Hlai+MKT7XPowOaWADKspBRzpt6eVijZZZLZdpXp72VGpfKDERVIZaBmuhIBKmgRCS3c6mUp+ZYOvhQCNAunZ4pjJKEdDZizGxS7OB2XnCHRAC04chm0PVzllpO0IDxLmyA2UqDJMb9yGxReHq8lR59XL5Atk5g7hVKU5Cx3rb+pQf3Xpq59VnzhsP7Hjh2tqFMpSTEpAPUMOvCuadOt8G3MT1+8RKEbum8AIlfJnEqpnRhZ2qDPLqxZecEg4PFAESYk1lyzPlzPRX8DmnjjGQ7tJVF0bYtPIAcYH0B3TA6TK3MoBruX9sbtpqmnUPIka9L7xDIwjneBHBlg1qGEsX7isYjT+aOP0NLdvWl+QqgY2VFvOMd4kfekX79/0TVe8ubxebWn/3Od/3897rx5o32F3/qf/755RtuTPN5JjJyV0XmUDhMYUIMKhF3LRdMtAA0AySvK1xpxLGA18EqDKC3OkbYxpOlR+wsBNnJ+di4DmaWZAgRHHpuGlCAfEYeIBzERTGx7MqCG0IjcEoRFblf4XpaB3Yz1HyTCE57b1vbrnX7VkbN8nw+HI10CYWEdalrXdu4rrNksIV3r6UBhZhrNAQpHBeFbSJwGKOsxF7CKHgEoLCSWhLbHh+gOEz9vF1j7EZQQwa/+Rr2dsAc+s00UzYlx8rBfTLdfvmhyUsPzgHbdz2LB63AboXqBuHrSGyktYsCRrEN4IYJl4FSDeiFK+wqRKmFcRL4v5eYlEQ1D6mVqYMjSvF8t9a/+Db7i/9p36z9/48VN6iSD7KzcfsKF9PPhwPTEKI0g++ppJ7Pyxv2LNVppYprddgzTKMSJopVBRoDZtpIlCDQgnZKsLSAGwaHGRKQZVSpQd0rjDYO/q9zZxtKa5IgGaUQNcjAsAt36CJSNCRmwZ0LySH2yCj/0pCSF40wCM4UKY8tspIDJVrwRkJBNhx7B8WWDUIWd+8bPbo5W66Mj9ZivcA87cGz69gLJ/Gux07wvSiFnPvQTHbA4sLEmqaaIM/lgIxMe1qEw2CxYIf2PqCQ4DlyLrhsI/18B38XeGXAyr0jemJZpFGl0tC0aVAhk9RLc6iLamOyaacdm2qKgDoOgguRwFmoQrWAeqoo2jZQd9nC5w0kNZD/CsHj9cuBW5/TXUGoxBd/cXjPe9Kv/Kr4x98phTj79W/4bv8959MFsSK+/xf23CL+hbW4HgY2/cGXwTnmAJPivmeSsIYRDEB6MxTNgpIK90pg0FwmQxTaJ+FCF0LyIBGARyCiQ2iLb6PrUnQWv6kn7yEo6nlRoJAXZnMwMZQbOMxtFS39EZsm8sjA3cPunKjYcCmmVf/8+fNt05Jx1Wx5aXM8Hq+urg7Ho7IoXVBtl2wXggUVEtzCGv5C0gHvBbiApFbc+TFKH5SlwJQKI7ZYKONIMUAxQnlIgOKoPMEViJSFISPxRkn6wgWSAD/sEfNIO8F1lRbp/PvyKc0UTzqdWLRZCQjB7XN4cWCQCX6kUKXQnpStgfh1cNyWgawjAT7DxRDPgsY2oABVUBSamB7BRyetVy5Kqxz2R4CnrnAc1QjwEN4tZElXc/Pt4ul/7kd662vnj50sHjz63Orw/6wPDOhAoIk6yVKK2jlTm71L4kDl9g9jVclBpWsTKrJKJPoidmUwvWKuP3nfZd4aTxooU0VDggdqnpMe8xoVEqax0nli5BG7QWlHSMBi4E/4F83nMT7Jdx03+OTK0XNssoCFc0yk2LIMPcsnNlut9BRgOO/f0Bd4aj8zpMcmB+hqc0gLc+RQ9fqMNfqRDPhmASFTOUAdxLAbnV4gfWwKIHJd5aCkT9PKm1at9aAuU7BK1hAtKLHjY7U6Hy4vdbNNrAecYUR8Vxa1s63m/fe98Uvf8rr26J/HT5yApM61nUOsH6eGByDRATWBm6xrvPV3j+azCcuP/Zj42q+V970p3fkShNZxyIkSE7nlOpQ+1usZAxPkqi6MVhCeI3BWwyWNJEDklnRZGUzObjTHZVY5fY7Ek5gpU+MMODtaFyxaW9/NrZ11zaxrOoKmcdfRCkmWdQvnEyJOgC2JGwNgS75hNOUqkCsqQdSA7gVUF1HD4Rg/0bs4nzej0fbO0nhpeblrm5XVtWowlNI4Z7oWmDixaWBtBwEgfhRbDRBzn0xYogiNkzNgg6mSsea5dIoGfG36QsrRTRqivzzso9sUb5e4mzQd55gvTlwkljZdFfQbeZffQx2YveNd9W5gYK7yc/SMw2C/Ak4zHGrYNpvWBUbDkFNJ8nu+SYkcRQJKiUCshEwZ3PdRee0a55JqpXIKm6TdBXqwlF79VpgiPfAnYCxe5XH/q2fHnxye2MFGDdflAAAgAElEQVRylKS490XdE8cq2Ch4zG+v/r5918eG1rND/efhoTAGFEbGQaFXdIo67VsL+5UblX5QqUIb5GUSiEj5FrC44rQQmlIRnnqFC23mOxkRCmySgGAVOhYBQ0gRdAAqDf9cXrCz1T87fJCjB3WIbL/Msu5dWYXEwqU1Gu87O+dSj5blJYQAkIaWWgsKa2aNdzbL5doOojUHOVOyUo66zZAe45r9SB0yW1RJ9tcAG0B4BCKj7aYG5vnBOD4dvZAPfRBJSHoslPohBAaO6qIKxeCSL84/+eQW2aHCUUfhMciYDz2m+w9e94Pf9z2FFuql9/7SH30fynPbdB0MOcm4jspWDEaB5r9Qo3wO7cnCOjUOa/Ev/2V6xzvEb/7GoeLQt6tv/+X0i3elu/6J/Z6uAykFu3coAGmkAEKzLCtoCBFiwr7LFEvCnL/dHRPD6RnHIXk7jPo7O/WxdTF0rW+6ZuaaNjZNg1jyrqUFydMsjuKiFiE8nEzHXA66V1BCgTuzUwDtfrDZw88jlzt8LzIyCRhKyWI2iVOIITe7qQQvBkvRmEoK7b0A5IJlwxGnAxvGzI1jQxliyEVgAbFzoVVpKGRHw+qKSHYYwKhoQV+1bewsL3VMaSKBC98JnEQP66V872WGR9820yQce8rs2p/nMGh5uJL3a9KVh+F0z8wKIv0uehfUYd6hlvBfx2QAnVSWzgfG08CDgj7IWtVY59XcuWlMDs6lV4Q/Le8LG+d0O1V7b6A3fxWHrv1IqrsO2xOPmy+6Izalv3EpDEw6sITf5i8+NrBXXaNn7WdHqP8zPSTGfWIAwoZaHaiDpdtSsR6PBqEryfQKZGfK9UanQm5cNhKVE6Wa+1Cw3EjhxU0n01iBvNFgHVORFD1tTJHpHlDgsj0+lX0oVajeQrCC25ZsdbCDxW4+05WztpbZqjhyBBdZ3uRpNHsVsJ09uSbTMI3z42BSClJdBnaJyMSFOSV5x4te+o1f+99gNLF94dd+63/cmWxjs8CkEur3mErBRjXcXgBJZ6CHH5f+8Xi+k4zHQBtn9Op47IMvjGnadnjgBszFiYnWhHTgVuu25mdPHIWsm8eAxP1exMQ0s8l0NltbHm5tnketCmE+nzsbyIwfQCGDrJ/znKRfoKil7aeS8bWvkq97rfi5fxv+6fdtqo3fdr/9Cv/KYMW0bdvOBesEcpBEir4oTI7Ry/KHPHG6HLFOn/Hc6HD6IG1EUJ7hmN06GGc4QApt59um7ex02s1mc2ddh1BTigTAisCQDyvxSAjH3D68EPsTMtmaBnFKSINEvZxBxnR49J8kOiWWHieRdFrUvoDDXK6LiP8ljTXP04AEeA/hDItIsPGKsC8gPCdTvX1IjQ8dMeq9UJ0UFUQD6Pdt8ja6DrIPzkpmD2d4HBALmbPRepZzb6Sec1Ty44W32ke/wUOGIoKzyDBHIj+7QIPtQ0YoqMdwAiNrf5qDCFb8GE1cZ3JdQo4imdwIqT020aqLgCw1HkdrReejlbjXdv+MiyfNyiFZD+OTDwzEq66GEZfuub0zXu65zi0/aeoaPgrNXF+YS9Waaq8tlLAvKBPo5z8GWo2KtDwQa0OxWscmOl9VsgFN00Gths0onDUJxLMAEDF7AQRLsDBbc1hPt06O+4Bw1AZhg0M5JodF2gYSvkZEhOhpn+tpZAESEcIBOf2TWphFwWNrdpbw5SclC/2yRQ6mPnxXo6vlm5fLGmfrZdg5TyE5itTxc8t1sxq89Uu/ra5gR3vowM1vftM//IN3/TIhPyYl6dB35XByijnCu3dwZ+fQH+oSs9/bZzgwDQSVvMb+j23qzBBPAo8cZ52f+OimTdtMgZ/06c29S1H2hZ9Pt3/kHf/8tffe8KLy0yHJWdM2TTefzVApbYAtkAuiot1uXxuvqX3mR46oANgnUbQVCAzyO76t+tbvOHnfHcdeefSeyb1dsK3tZl3bNNa2NkEsQ7NZpP8VVNOSHKhUULUm28JFAhUxNsjwPhdWDADwHVjCo0dQuA22811jfTu3bdvY0DiP4WpL80euxn08Am6sXu1BQVwU4aqoIOFXj/igJoIWLnZx5gWPijr6CYrR8RoyPOI3skOegP8GGczh2vqYSvAHYXZCJ0n1I0rijvQ6/MwER1w36dCJuIbJCUZzzD7BVg5UCrTxsE9kKSR18sDQKbKE0mSJisMiWOrRgc2wBWl+KHqvDnZOJ18xumuejUFDpYn9JiGTCrnASBwDuy4jk32kOp1NvOcIKRLMU3SR0rhWnYeNiFJUnZ1qmca964hePPRecnS+6uPimerBDT0eB5X0IxfC/ko9viP3lnLLhPZ4PaNTd5X37Rvvak9eMsfOfR720VLKQSGWKrFSieU61UUc+HZeDNwM874gZUf2LUioIA8j7mDxObA5DXEwI9LlyO8zmw+TKaePyodkES+Kh4oc73RFEm7tQTLDCsBaXIB7ZK6bXfkBf4BJIQBcAyKjQSGDD2SxT70FMfIlGfAT8IJfhxkDvAMEPYCRTyqgeEqymSkT77L/eV2P964dXCg2brrhDp6p86scHI1DFGc2ZzfvWbt1be+7Hnzym177ilKNbrrn7rtf+8bTZ84sj1euJEE/10nehZ6kmKaNVSmeu7Qjgz994dzUhaeOX1zfXt/ZvPDQRz8cfJ+XvIuvwvvTJMW5c+cfDWcOv9QmsepcmM+bDhDt3CLBFQdTCq4MjLuqo+dzJXgAg4AMTKG1zneY0Znv/6/nP/79f+9/e9um27AIpIWN0bxt5/M2WEDFErGEZlDVKyvLyysr46Wl4XAoB1TJYPB2WajYp89kAkxMyWHOhsXAw5HVCrTSrrX4nQj2gEAluS6B5AWb0Jzn3ZfaRXHkOHO4xmC7nse8iScQGSViZL6nqmd7AH4dUVfloEY6DY03wB/FPDArF4FokU9hYeqSbo8Mf3OGCsGx6BVQ6gBo9LpvMvCiFQTLPLliW9BOnfBkRUO/DOh2CF8EyY68qEl0yAparCnsk5BBDXYizUpLbsL5N8vONc8u0CG0xGqBDHaRK4/NIXCfJI2h/DPaGGcYkJ408myAqb+JusYOkGiDtD2OMUHC8Blups/OeDuzjnM2meDP7ZPlUf4kveErbv+rOD7wCLQMWHA/7w4pBBXoNChiDbJ+qG07ryviN/FunviadAdDVC2UKUohlUtC1lpET8KLDrb64D9RJ8MZUNkPEsTSkhJUlCyMLkJU1onOE1oIwixPtKhiZj9LINNZJAWNILGt6V7kgBS+A3OGJj3izLFmvhs/cEQ2JqMdGp0j2Cl3+Hn8x89sqfTWzoUjxx66/ZaX8QlZP/FRqClN+W2ve+lvfeyx173oplrq3/jIwwdGw+uWRkqKM5s7gyKKE8eXD+y3otqZ7oxGmPh/5qn1Qt7XhjBpusnW1pmLOxtnzxw/c+bxYxe21s/76dZkut50LZaahUnUwtCoB3iyYJrqkXMORbSzlDpLghgKCwHUkBH2a8afQZWLobN2Nm+m03Z72sw2t9t2bpM+8UX1N/zk6WNvP4VhXki2cwgUnHfzGTQ4wTUppdGwWl1d3b9v7759+9IabXTIdLVAoVt4vGeXKXb+71neWRvZJd/61rp23vhZF2ddS7b9bXJWeg9sGJwIcqxnJ5a+5JDy0EsJUQc01tgA0Q9Dq5755LsIA5cf/0RuAWVVLC+PV9ZWV1aWxuPlajiuh0hAlwLybC19isr6OBjOJ7UqTd1gMAuJjVLJwHyURpUEtpH9Fqal8HQsBGVnAvogu3QnbTAuwFUajwDJ21VBItpsTpO3fDTc7vMU8PuhHIPRQbY5mW2Mu5kBH04reM5rakS0mIhSyFuKRmuiLaHtJko+g9GA7jUiJtHqMFTGIh4YmwSdFFyJPa5jjux63l3jL/+ZOb8+WyR5X/3xbP34tR2fjyRoKdOojMPSD0uJXGaZCtduj8YOnvQkKdKwnZJFsVwVw6IszFibShSwtwNQkWOVggcc6V07D6EJ3mmkX4PGoxBhJ70ww0rD5lUUMcjOhVmHpL9ZALAXEAzEk7g+yYWHfuR4hQA9uECy5w4V7jxXpJEduQIwt4M6GpiUooshc0vsWCn4Kop03aCaOD+PsTLqNdfved/JS6XWX33nTb/3yInf+9P//Uu+8JuFFLbZ2jr6YSFE4/wfPvjkpPPvfuRpRlY+efLMR46eSkK878ljS+X49fXS4PjxGw+/uLMdbHSK8rOfagE/B1WquBySGK/64Lq1laZb23RbF8/ZeUM6HyauoFSxehDf2XdG3O5xDwh2YIidtU1Lna5tLITRQHE9fOBoBtUDC1d5EFoAMJdF1fOm3dpuJuvz7fWtp8aP/M1XLb/1Wx9pDn/43OFbKNcXX9NBmN7OZ7ZzDfQNhb7uINiU0UPmDEN4opTR1Fhq8jXm33BB9M6WThiNogRBouKDdVhx0KDbmXdN1zXWWhiPYJRBwEC/2LJBCfA2omqwap9dzNldOtG4d9E2c9Zq707EsBkEqcao4WiwvLq6BzV6z2hpeTAcI51bQAPYdV6aMukmpWI2HE+qYdtO0DDLBLNMYGsMpVCokDEJDtnaVLKAewURjX2Eo1yM1UDOrEQAlRUIKIY6BK0qWZgAm6OpKkV6wxKHVUhUUeXlfBIey7B/FkmuyXcGJKPnMkuiGEStkOjrvAQSRlY1BBV6gfxyp/FOrEQqMknKOic7L1wQ8yA6BCtEi60M7C0pUYhWg+dEFKQ5cOsb9t84e+rJp0whW716Q91cauVk42IxWt27/2DRXuxkdWF9slQlr4bKTTZm6TWvednk4rnxysrjT58qhC+rsrFRuvn2rBUv7ANDwtJXxhUoHZhJ1W5uiwFFqIqqUMOyHA/rqi7Gw6Isx0UxKktYhYEnR67RlE8B+qPtgm+72M08dM2w/25c4+FEIHQBP1p4rYE0Jr2IUx8nM7vduZn3TUgtmWmlWBBeQiI5DuJBwCV7ni1ixQmHIxJsHhWy+Bi4CrpqHmkLKW9aKk+13gl5/w1rHzyzCScy4qu2KT25uRNAVlW/8+hxKdOs2fqDP/8Fyp6nHCva4p6aTLHzI4ZRtlfi+AzaccLNg8QH/PBc/fnWSoxpE63gaoIExaiVD+G0bbpLcynAKNi9UU0pGmOCD8srq1qmlbWVgwfSDS9bfXU8qGQ8f+II0rGbmbMQVHSDusYgt0B4RoGO9Vp5pplyS6Q37521zoHu1n34jve97KHXv/srDnzZO9/5x9/5Pc1gGL3t5tMOUEjAnzgVWD+3ticVOkhZ1gVc1yDVx8arQJAihbLnvF1uOhFNo+GBCG87BxZwDJbkIe28aXZctzNvJs6j5CegpzyPgywlm7j2jq/YPvHreYICHG6awMzKrPnLqfL8n8gNBO8MNzoH38DoCK1IUVXVYFAPh2VZ1bjBTIQ3Hl7d2bas63FRVqi76FyzCQnZkcuqUHVl0MaUZTEwZpDIqBe3k3FBYunxyhlTRVDwWjgXYJhD8YMiGTwrcEDIUBAE2iyFIWopJ4HnJDmlXAxYDbhK0o4xo0jskLDrMNgZs68pMiAwSsZUFgRoHa1Q1imLUVGhCgN/DlhLdS51XiBTPsVtG7YnfnOStho56VRnYaBDKv3nvMOVsJOT6/4rvurLty5efOjY+mj5upffcvCJTz9ULO1Zxwzw/P59+w4euklrUUnjQ/vAkS21+fTjxzZf84rV/Yduedk9d8zPP74VV9aPPvh3BVogpzXAhZGc+LVIpXdBGmXqofR76mqlGoxGw8GQKPrlUjmqIdNGfhWNI2grFKNOXkFJEIy3KnYjaxU4q6EkXAgWupLMzzWeRYx7rFMzlbYrcaFN2y4pICUw68ZDiuYYdv9UD+lJvszR4n0dWFQYQNNgmba3coB3r6YhHKiLcw0YOicbh7m7FO8/vaGkPLY9Z8QxhHRq4lGE6Zkj6ghrXNl2h8W72YSI5oOkxGYWB8jfCknfsFMACEhih2w5dlUVmsxUx2UtluCmQSNIONhctzR4/wf++vrxdcHbU+fPv/ZlL5vMZvVguG/PnkDamUM33hy8XVpbXR3GG+9c/gfXjTca+8kPqGbnwnw+n8/mYwuZooO/EMXtMb3sWuQqvVs0wE5tdFEWw2El1sZhMLt0w/lvfPSb5K3y6P33v+Gv3/2hr/1G0DdSjc64CNUAPVZPN0mdt7P5fDrZqYfDuq5NUSIIkQi4Auw2UqYk0KhJDumdg89Q623T+dg1vrVt07Zt46G6BAxNCYUe/IrMG7yM/uSqm408cn8eHFJ3QeJURKSnHhqJZ9lCgMjvFIudJ80kbIV+VcBHlBnK1A6DoGsQhRCjLwdVWdcjVY/MYAyXD1ot4JEgIMSFZU0pBxXEWaPKjKraFKLIgTqAInSRylRVIZQulj4WlTLoRYSnhYrC1jJPnhg8fAcSSYnYSuhA8LvQ/Unal2wLQDuCvFXiAN1nFOgyDUQyAgEQZJAOMCg1Ls271MySm7owQ8BKqTxM/eGgop3HBCmI1Lpu4vzmTjp5SZzbkTut6NgV8vk4cCkGPbxxbfbRTzys7M7mhj+wdOj4iZNHT52/4bY9RWyr8cr29nYs44FhOrvdwJ9387S/9eV33lJPZu14uHL+9HGRip2dS+PlZXEWOu8X8kF0BYzVaciB+91QFpWpqlUVV4bVqBrV41E9qItBoUstqlKWFZltY6aMmS8oHTR7drGIFVvYBStlUM7V6HMDOwHgXo/whzHexU6Iea0KMafYNw/aqBJNTAl0B1jCBwIvcggoaV2pSeIwLtoTI7cbtFXMptHFaNCrVbpkQVl2InVZr0Jlitgo/YQqY5dMdLoc/ETsCtaOg+CduU0EC9IQB89RL+fi/p06l2zPfPXnnAO2BuVg/1p5w9q+Qsg7b7u9FOWgKm7ZszSbbX/k0w/f97rXbW5t25j279+3OZla5/fvPzjZ3iS3iTLFOgmJCV3bzGfNvJlPp83yvHUjwqJL64sCpmrZZOWagA7iYClV1fVIClOZsFI+Mvzgm+QXvOKuu73z3a03Xv8z//rec0dP33v3bFp6WwfQxkCzI2gERcRIDfyma5t50zVdVTlnHAgeyHZCx8izQdLVIEW3tb5rvZ+389a2065rpxbbMQ9ZhweWw+mMrKKkFTRf1TwtY4gZ+3zw7mg4gXuNczITU+iz9enirme1NGAFDcBYloWpqpojh7EUoLHP2Tzs5w0SDmRVVVmNpaoKXUY5k1IW8LqTAyMxaR+qYSXHQzMATm10yanpFOsikgrKpLIq42AQWxdK5ORqcvCnySLdrtQvEMWv9xoniTmbrvbCqV7kys6A5P3F5br3TLryMFJWxBMlwwT85sFgj0OgItZxQ1wlEMk7TPsBFIqISVAIofFxq0tntuVWqzrH6kZyLHmG24YUB2522ohzT4uHPvHRbFNG6+hDD13ivxx59KHd33GaDB757x9/4CNX//y84A6i0EGgQqqoQsYqej1eWkphUOnxqDCDohzUagSFPrS5uE8RziYEjLkE2g4topWGNKVhIKMwtUo+FrFER+NIduEpmyeUwDiTryIUVSGluXTDJKxMzjoo0zRaHRBDqRtg2/7Mv890pFxqwO2jvV726g9MdiOMOjtlZB+4PioFNxbLG7j9yUru7FnMid601uDluRNjxRceD6MNMEOW0kr54ltuvv7gIW2KvWsHaCB3zeM4dHi0SOiyai0aiY2dqZ2sz+eTJ44fXV4ebW7vdM6uLK9Mm2Y2b+rhwxDYiXTTHjeex994jw6+m25dXF5eAhnaedcF27ngOu8q+K2DJaYNm9lf3ZHFZIhdlzrKpboYlTqNq/cvv/efNz968803kwGo6378R1/9Az9Yv+kNW2ur8/kcM0qSmrtu5rq5cw5nVksHkATZM7DVgAFGMCZnsfMMCn51Plo4/vmmCb4FVjPBwBOfApQOkR8BSsCVUG9ZCU2Xv7fY2lWOemAbBE50wSjWCcUOpF8WPWWCGvd/7FPqSY+H9b4sh4NRWVKOIjFzslsifKmRToUxGiJxSlPW1B+gyS60GA31ylAfWjXDWo2HVVGZCs9MqUqjdDLSAD0nHF4bDZlsEtgoBhe8AGcmkvQKfT01Bvh3VvUTKxSIHaEeeX/AjUtmIrHRIZ0DCKqes02Ad2omlaYC+JIosYEAf0vLAeJzh6pKtLo6ckSlXB5wsz1qaJy0okPkTVSpNDCiVO5ZXkh7rgu3v75zHX6R2YUlIjY9n0gqHVoL01Ztz4TdfsF6iF7LwWb8tHtSUlZGjJOL5XiQ2vGoMpWqBloNNJTgKNC0qctuDQXwMYwaCGtg00QGvSjbhnpOCQKPC2hmQKQzgNlgVGB9VZQxrIrUpjgJnsinKNnE10DaG3kXYEhIuANemEaEAQ4VXGAJOgQCQk0ICNlMdwaMzDnW7G1J7gMsDSfxB54bYnrwMJyqM49cmHycTIGUvLXR8PrVtU+dOH/dnuWveOWr/vyjjz5y/DwZfsYvvO9+vXpwfWMTdu7o067N94J5BzNrdyazjcn2+bPTE0fOPXb86JnjT9p2GkL4079+L4XG0X6Xdu8sDVZStvvdHbo7+sRyYcx4PEhJzAEIwO2fKpqI0Ai5IlUkxM+MiatBorkv1RBpIy+KXAPTqeKs1e42dUc5ArCFujl8cfz6r7vtT/7k3H/13fPprGnbSdPNGjFBVbYgPGAJ5Jfpmza6fNjQMxeHUnTRs0GUCecU61LTWWc77yOQWgr5I/s6VHbe3vDslBZpjP6Y5L5LQd572+c2k9WLil1GqTDzigxoixZfMmkicWGIgeITkfZbFlVZIKuKGnUQPPj6sgCa47QQJFMMRNiBuWMVR0tmZalcWklLVVWVuqypqVHEawNdFL5f+NXJ3a8uChW0rwEzdGyeDmoGNhY59IuH372jAf0KZK1LlA32iKJGmzdylMvMoSx5MPPMw4DAhE0sU8RhSUUmlFJHVQPJkoKyvpBrWyiwZVxWPoYom5gmFtNCJYBUOcFK9WeuBTGKosySNj79L76jac8MTsyeeddJKV5/Z3tm3Xzosc8+WP+7o082YcoTAq4qLcfCu2owFCNdF3pcy6Ehn44hRIeUIMvhnmRFS37ENIWmYTJM8ekiRZRpuH6xCx0APgQ5gAeFgBYVjSbtmU4B7gbawBKPdmt4CHOWBleN3kGUrPh5YLjQpvVEAMI3e14VOafSa1AaVCoWz+VuSXcmSawNB7XR5yfTQpsvu+eOv33qxIXJ7Pu+9Is+duT4XTfdOCwHJ9cnX/36V1+3vHd1NOqLQdqetksj2Jd67/HeNVnyXSNfIsJwAp1Ja932fA6YldSAu0jDvcNJxpMXppQwvxQSXA0qXMIR7wGmnM5heEmcsyIVfT+Zf+hnqNHZvZW2F8YYsqbDZveB4oHXhzdw/CsokMbEMorv/C+Xv+ltdnNrcODAZDZTRatEI0I5sRWWCJj+V8PRqK7qqqoKBFVRt8mKn57/TBHRZC2KEpkN32w3B/HZYVqbzzUqO/0zfq2FfpDJh7mlzP6iGU/mO5pI+4q3UERNy2kGhBvwKxOtk84VGDDMJSVkwhTUKpNbv9IR0TlWmw4wsTKVLqvCFFVypqj8yh65NlYry2Y4LFbqwXBAfFLA37hbySmSkGQeqgVMyqN3dT2og12FyifBJ9xigNjfz8TmoPlOJihlL3By1GCvfcIzMprRU2LYJvC5lIREyvao7GQLgnE3iXo9pR4CjoeXQ2Gk0bptk3b4J1EUjVDt3E58mDroJik6yLCa8Rn30tZ5/fE/HyqdNs+Z/QfCLavp4lTtf65BYkryjz48ojr+eciK+3/9wANJgB1m7GT/VRdmWQRXD4tkyuG4GNSyQmikKEthSpRdvjRwWOqfEZxuZMyTst8hwk8WpGKl5R41OuEzxIJnZrLUxoiq8qFStlYKefVG2ey93tt50Dtkt+DIOXdMQGJMo89O5REJk67hASd0RK4aFQR2cWSpCyhY+vDepYN1/dFTF/ePR9/yBW/69x/8wCtvvfHm1aUPPvb4ucYf3r9aFvG3PvLosYvnjPDr5898YNPuNN3HPv3YpTYdPbu+YOD/7n/8nTvuvfvg4TtHG5eWV5dGg/FnVns/+0DXjiKNthJBot6DgcrZiYsMMHIF4kAZan96vwVyOI5SuZha5xoyqoCyxDkLuQfs+xmyxdBo17W+qptB6hJZN9joh6D+pPjjn7D/PQNEzMqFieDqiv+xH93zs//TpX/7b/xojJ0Rr3y6jO22Fmk0Gi3RAbdlzAkLNk7CxafBFoozSJGkmQdRrYMZH/H7PMzjKCSvT3Bn1wymyu1GNRaOyPmEkkM/eXnir7yWSxLqs08nWglq/wB+kB0PEzDAHofHB6KuYSeqIRDVEkY0WiP0z/tUmqrDXC9qrbDsDMYqVXtWwtqy2b+2srKkR4NhXReDCnQl9qHu/WiTJ2ADSIoB9bOKwkYx8ANXhWGXbC0dlqpMB/S7VDzY1dJolZAaul2ynEtgLUfV5znoLu7isy4rbOrYipQzeHyQPhhrU7A+WjYKcwZedORbwl66KOixE3LHlzvWz2Cgo0mzwFvT5wD1ti7ketw1+ojV9XLats99n1FE7N8V6Ks9DK3uNIlWw0INjd6j02lTVGWtDVIypSlgKFCwZgUi2Gyfwf5RGX3Iyqx85qGDZZUI8+cJkiJAj0hSCIFXAuY6lS9GJsyCro1uU0QYUH8HZA1gprAiiod14mx8l0mt2QeG7Lng64h/e8n+1VNzOw/+y15800Nn1882czIdhgvN0Oi9A7NS6K158+6HPqFlPH7mzANP+0KLHWt/4b0fWjI6pvD7H3tQJBPh34u2/oFTZ7xL3tFohDpxkjlTRhMGKuyqf9VnnE3T2eI3G2SyCAVSIBJ6U7WjZw2LWj6/bOvPzR8//dT6eTDSZrPJDJrvFmg0IcUU2ozdbAaZTy8AACAASURBVDZ5uIr311vmMVPGKCWP6seNMLfKW8lpmfUJHCcm431vlO/5y9Fv/nb3tm823puQhqOkijIOC6PSeDxYHo2HA/wfpp8FKODcPxG0QboS8t73vvGuIyEhSjN6ZdBb4DbH81xk/vEegCYQyJYlMToX14UrLO8POCmR6SJEvVHsw4kAQ+xO4EGdTeH6b8GPdKGD3UcL9hkl1pDNOTXgIKAk5NZ2ShelLl1ZmGFZlHVZmmptqTkwHo4GxXBUDwZlMYSNn6EZGi1B1PbD5YJ9xsirm8N9Kc+gqvXQaguLJRmD6hx2B5zlxl4oOWMTF53GnXT2iAEbPZs/02JzRT/77A6aWm66XWJoEVSjOytDm0QXk7VgGsogIMmBEDMExR7crfOzrrwwVefbYod5sPAfhO86m2B95pup3Smek8MsZbrjeueCfOrMtctdX5AHumajKx1rLUelGVc66HBU41Oadj3IdS4quD4TFQmPsCqyeIlVqdlykdzZMR7QkJ5g4SancAQBGirZ5AWHwCw8WRo00KLQtpSqVnqoiy6mjmyZcy4md2wEXZBMJcdj01MJF0TadanD48HTO/auA6tNZx+6NBNRDgqIY6RQD5/Z2mhcDd0jnGVKLR+7cPGxC0IlwF8PnkV6w7kZsSqIMJdS2vCeIG729EAbzq1QD6sQv58ENbRLi7tsba7xoKBbjJwUuFnlUBfgR9Mkc0F3I7yVvxzrHTWHffIhhEB45GwCdaODj4cl+4quqaqqgjk0x5xg7HoNTDteETRZA75T/Prb47cYBYwy750jsFv+4u6//WfDb/zm2Wtf0910szahrosKkX6lKcxgUI4Go0E9KOvSlBUgjmzjx+JP+KLaKKyjoFgIujGrcy4nWvU7CY5lzw7Y2X+VBL25Nc3uIYslDf9FyAS5B/EvJMnPmN1hcywWXAnYmBTln/p025HxRwee4mIinXH/pGBuTkdlqkFRhKLcMy5cJ1eG1cpIj0Z6qRbDKtalKNA/GxpHshAGpZrmol7hknkJb6mkdSgkPNOLUqkmVlo4lRzFBLJ3KEfAUdufsZvsA81JgWSvxGmaOntTsyEeRWg880YzJCcE5RwaS1id0emwnXCdCpY8ubHnoj0Qh+BChCZnLUQKG9Ow3YrtJm43fo45R37kP7cjJbG+ozenn4e+Gf9fCVU0zBJKhYFBXRRVUS4b5aXxZiSLQhSGDJ013dYF2mdUaiNUhQ9R0gpNqHQeaXAV5YeG+xB2q6NuQAPuwmvCL9gUxtRGDuDqqGulKgoRlzBPCmTVkdM62C1IS1HTcJs5AC/dO+bRjaVW/ZEL209szgjTkA+e25rBCkue2mm6EG1AvxVCmrI/Vtb9LswqCS1hT3wqD4wXgnFI2r9S0V3PNAD6JkoxIrtRZuM9G5K7itOOwQ2pGIzWZamqWlcDcpvp5zw91JGpb5lXtoA4qM6hRJOepJk3zRz/DzEhYQVk+8bEwQVKcLXvja/lVEwfkA+8RXwx62VyjitaQjIDjzGW5ewnfmztp39Wzlu2DQWshAurS4pZhXNFQWGsl1XeOeyWrOB6yAI9HIXnkJknjV1xvsmdtd9MZX14D0wz9N6LxPOfNDPrs8IWELZcGA/0Vzh/68JokLbdsevCbA7ZOpNPmNvDUkOMMwogHwWZ9peFrEozqEpIUgCxY5JoDL6EQgOIRA30Gt9Cfth0+3AWd664SCMCpAARY4HGn56M/JvGaHjYuQhPzhxvsgePlixeya6IbnhGz6mjoB7oysMoHbQSRiPQCK2Ghv+2hTMTMbCwkmijokEFV47eoiZUjX2gsB2ICb5ntNalFArQcZ73lm/bjt24n+84BdEpM2z+7vhsTyMsm2UJkBmKr0KVxMzwQSqLXa1GFea6jIpMce2MiPBCTb0VVww2xMB+i2gWdDv1tmps/QlvfvpXHcirNGqJsL5aiaHRVZRlFFUSXfb6CpVWDZputWdQbHRBpTTS8EOgwHn9yfNTUvzpM3MyRs/mb+BiEf1AKIqKvmyoA7t1gTSLRaUizhw7XzCkQClNqBVMTMluNRQWwPaKEnc1gjDImSiXA64WV9+lLo6YKL2A4RGkCNF/kVcqTzwXSF92NCVINrIQL8ergsUCY2j6IEn03LlRX5yxkOA8XPMKgq/+YHr/q9Kri1DAIz8XVebhQRtH5SXaO+9Kr3/d8q/+6uRb3+7bLoWA+GuMs+jHp6gJB99lgcHEt6BEMMhA0CjO6BCwnGO/Bsf/LqUiRaCehoZ1TsnA/qD8Irybyi00V1HOgLoM35NzUVTY6jHympe07EydOHyBmXiwCbIwNXGNbWFpAsInpxyiBVAaNuYa+0lTAvkpZW0eOfLEmTNP1cZXhWTjawNuHo/babuVPVM41BYrKf18Nu0mj1VO9gK4k2hRJY91XN1cmLOH4cL/i+8TejG+ORYp9yy7Zpx5Ou2ecSkNbRPgVSa1qUuBmJph6LoYh0PRdgmR3TQnJO8PK0IbEXklYH8FsfCgkKCbSEPy4YDun4WbV9aRG++0pkjHH64P33H3oKoG9sIjp3ZiOymGy1qmZrq9/0X3po1T9ery5ub29s58z+pSiHFzY2tlbWU6mY+Hxfpcf+HrXtJNJ+encnLuiKhGW+vreVb8Aj60AqeNu4AC3W1RFgAiG1kIXQoNVWtflyWKNVNrc4pKntzkooxdHVsqMrxHGAjkVoQ780YUH/ikBA9J4eHDN7tCidIoE0HbpAw5kPnJbjluddh4JZE2LQmDaREgTisjrESKWESzEU7NAB2RQagJoy07lUEoEzKtn/heC1cIvuVIvosyzd59VLjza+NV6aEDmglgE+rJvkx8VpbEMw8iSVHKXgzT1rfzMJu1ZMjKNta0YWXwmRTtdM573BHYdx4lWRULmHI42znbzmAA6hGKDWg1RdjwXDsAw1fpnemd/zT9IJKoMjBLOS8wMCacN7uixJ23f+ve7/1e86mXb9x4Q3St1h0biRiBHXw2fgP9B0gRK6NhDY7JJ6DeuijmZl5WRd2UofCutAJhpSDdJu8xrENaE4oRMTgYsWeacH50GZ0lihesAKl0k08ocGcHH3LKMqCVmldTRh6y2kiDni+CizD/aOa2c+RRTf7aVN1zEiUnEujWVKlN7tLmpTe/8ZWr1c7+1TgaF6OBxgdSZYaIUgNwyCpHUvB0ITgbbUdsSD9vPTxUGqInurjdNNO5n7cwu8KoAxJr2Nd4mraTFEvAPS4rBpMjKaA0mvRZtGyxeygZupHW5orDxK4VspBFwaa9RpeF8bVx0oTUiWRhbw4XjiCBa0Q0bC7aoTGlcGMjlozoNO59B2dgokg/K1hrz/Xh8N3WNrDA2zeUH3rwiVfdvueGW+48vBqtHg2K4pMf/utxXYxue+nqMNx+z0vPPnV6tH+tbC9t27tedMuB9XNnu8mFv31itjKuOmMuznf23HzPy++65eEP/KdHzyCo5QV9MAsOkCgFyqmkky1kmJEUlvx7i1ydVYn7uc/Tpm/OOy9MNagd4RaLTWsyGY7oTqz8yP/J/mNknYFbWWK7V9BPKqUpZLBZRcU/hSzC+J1ycjwxOjhQM9srZItRstFla3IW7JI+gbec/JV0f/VS1T6VlV8Fk5lsk5Y/x305t7jsnZ9PmAQdmDYB1Dxf3npfy1nPBqLMPSZ4lFJB2fw6W+7l0Ll8zp7h9csWqwAVo7SwHm1t01pIPjDqcTDjBtb4ubw3IZ5KT8/F/E55N7kywTLNe49aizNcYJ9MNsQ4LcPhhR/6oVt+4icu/NAPtzJh4kesdhKGiNK7VNeFKbDL5gLZL2kUVghnobrU8A6phoX3QwHLHgKZMAD1IJ8RvMNc8NxOZipHLxTtyXtMg6H2LuMiAgwFHktyoDi9DGcTY17NMbtsVOps03XTrptay0AHcShhAM3iJqmxvQqmEODKKXSjkdThIsJEhEA47BbJdGBhJwSRTCL/ZUywQdB3IbRwlysLB0sR62FSF5IK2mFFtU5oJ1yAp4iN8LYmJ0gOIWAwo58rs78m8SryCcFK8iypt2wnWg3RYumaBv0UHYkhcIQs2EfRtQIRZsG3NEP1qrSqiH4sxVoRJiZaDWZAI0QrkleSMp+v+BneyuEyjKCOP2I3hHjpHTfHOB0U4tLG1kzJQ2O5ujKebK0ff/rYK17z8mLzwnS6vT6f1GEnyKWTYuf4yYt33HJQhPVHH/50qtamTRzodOKYP3FxLl7oR3YW5MARuvZGmXJJpUli9LlvnwFDc3VeXBuuzriRCM1gy+9d/jwMSfPThLq4m1pD1v3cB2G/jAAHIwzi6PEgYDvGEViEWVCIHY3u8uCQxNvc73JvRXlcROJg4YlKCg7jnO+cQTqiZ3OrzMsImzRwGByrJxZdfl8Sc1lYCGz57ldUgxIRA3qS1zX2qQatDFpRwJSmKkf1cFACdKXIIKoo3LRnsI4drPs9SG8URfWF867axm5P7N7WdmCYQO3hIQXDfhqw4zUev5v+w9fIr4d5GVnP99piEHEVvXNQosFrhB+Qv/XW7S/50lt/+7c+9jX/CJqZdt51TdN2TdOMxsMWQ8u6LEuCZdlfNK+V6AiMqgvtqwJvOBVCVjkoHtHgQnYeF5L6dsp6T7Cf5XiRXZhGTw3GosUVHKsdp7YI5rxwA0pmK2zllnE5rLG847NkP920DaK1HMgwPgQTWKKaUyyhcTJJGVhCS6nWDr30wF5TuJNuet530SPsOGppkU4uKcgh51ZJYYoQgi4KHVJRLw+uv7fdOiEauTYeXTz10FikC+fPD5bH66fPHHzpG59+8ENzJ7sAase9r/77cn5hsO/mE49+8OkzF6gFosQaOb79lqUjx05Jpfbsv27n4jmfYbFn3WnFzKtkTUiydBJvH1gHI/5E1wanKKFbTzAiJQdhJbH5qkRcUnbZqLaUddJTCHd1h1/MQBi8a+HfuWQ+8ofLSovJhtpIn+obsaO8fzuSH5BLQoi/fe9f9j6EfJw/dhxv+eLFcyqJo6cQbMT/cOoUfgQY2ruOxfL+wjkw9YnwucxUUVVEVY+l2IH5GPZ/HKcH3eCi7O4yESMnGHoQQJqiMk3GAz3+0YcOw/+oF2Dkv3ACqUwKwn+M+WNBmESEPyL9YGAfHCu1i3rZ34G8tV3oGbLFM4XCYtAHxjZEiBybiYcQqwc9p0STIJ5trsL8EkwJ5Mef8jJoBKMV8rdoseBuhWaK6E0tdg2fk+0yMY6JKlEUuijLqqqrYjwoB0UZ7Lwfn1zeG/RUMs6J6h3XaZYG4hhWuuhC6Lyftt1KZ0OHNBv4+1HWE50H5qFc1eGS+4v07n8nf73PicoaNyUVSJnQCGL0FSN8KhW0Zfri13794R/54b2ffOTRQ9dZtzOZzCaT2dJ4vLS0DLMtOmrwPCr0zLRI6iRqZBXrEIq6rijuFgI8kvGprk1z1WEzDfwUlQRCvjxZhKiPqO0kNaXryWh+ZtpAmsJ+rYq+nrhruLrExM50wawz7YeuoPa1TeetI/M87BhyxiM2eSAN4RY1umBLPfr2zfOnb7nxZfPJmaV6NFg9rMqlolZmaY/y22HrmB4dlsO9ceeIHO2Tk+16zy2lUOHoR5cPvn5y4oPtZGflli/Yfuqvbn3lV3azp92ke9E993x6cumGl7x+376DTzzycFmliTx0++23Hnl0eviGA+dPHfzCN7/mwvEH49pd9ezYRx45v7Sy9/63vGoom3L/bZPH33/Sje64Yf/7/uKPn3E1TbGVCudU9CJ1siC0KZSALzFBotkJkGXyajUAMnBqE4T6ZbJlikOllwpNtsOYR8ELRhgr9O5pJMalaSC8WFnOj5OGLeU1PRipKACz+PiZvrcBNPQC8iBNSVjfWQt/OrLrBH4no15WcQd+bWgr8XWgS3iKZhe7rRAEqEEUlMOKkcWL5lIOfWyfpEToICmvc3x3jzHwk4WaGALVaoItc+ZghAkZ/k6W/IRvUAJ3lrHQukIzSMI38lgbHE1Se+fUK8i8wZ/NWATXX2DZZPsBYRU1Eaw0y34yHOzQa7WIwkoSAbJ75E0x/NyoP+8HVNd4kIgGyFKh5BAah6Iui2YOrTbPCYnkncmubMXXw634HwxCWcgA52vMmCw8oYP3FiAHZN8Uu8Ad61U/K0mID6cP3ypuWxN72tB6B6iEUH1cMagCofsEBg12OlbeBAmw0k98+3fd+5P/6tPf9F07odne3tne3hmNB0so0cuj4XB1eWU8Hg1Ho7KqOMGMfApRacvCuLoq6RXZocj7QhceoAKoaaT+540QaY7yHYU9WbbmZAsqytkGMk42sMyzC32gMF42D4xzlkTGpnjhJ+p1hJmJJVK09bjbctsCejLONuhqoIYWRUF3v/J2Al8nAOmNqddUoeaXjizVAGJTdHK4L2w8YfbclMQottasHGhPfxRmNqX27SxFa4rhgdtesXP6o8MD+5eHujJyXJfKnj1/5ukXveTlwZ4Zmhd1myefeProcmWrg3eu1lYdvN6ORg888LhW191w6MaU2pM75mWyef+Dj7zpK7/pw3/7wF133X1h+4oLasQU9uzEeIqpdKosBdZBoNP9FcfThT0K7WOtj5oqJUzdPaj0tSqSKn0qK1U6VQRVtZ5xzGce42X/xtvd9kTtXU7v/mRtA+THHQSMcNftPHp3BbEDnj/kKqlUadE6qYv4dW9qPnWk3NyRr7g5/sWnSwM06Nrpq59fR4KhYGhNKgxC7tmsRUo1lulU5vnCWJeqFZE0Lm+xeaLW5w8tdpOL6py7wF15T9zGUCdDAhaKgs2ucOywmKNEuaBkr0zi/LIxDvdDBBf3rWWGaKkl48QICpOn7TPSszANJ0YcpR7C4pK7T8YxCOEmwJMiX9h9lPpVZjwRjMKGz5eNHMn+MSaKVkJZ7N/FNR6k2Ea1Q9IM2FpVXWcFgMtksdzc5ZVvYVTGoEuGx9kgm0BUsrsBl8MiRpZCVOnzERLdq+uf+WT+cvqV7xb/hKw+KYgVIS8wEiQqcGGUUZjvIzAJ1ioGp6I0ZnrTzUe+6uu+8F2/+/tf/PcbOIY2W9vbw3pjaXlpabzUrM3Gy0vLKyvDwUCXpgBhGLgu3FE0DCEwhJCVUMGGAHGImPYsFrx+URhrAW33CyyRQa4Ub/aLGV2/xcZY5j554bvVx16xuAp8ZUqGjAQ7x7aZeyhmgG/0p4TrO4dYwduZpDCqKIdhuj3d2fQ7J8V1rwp+w7U2NhvlZIAVy83S5Gy5dmuYPSX0Ib12feo2UrJRR3/p+NqL7yvXj9jpse1T77chVHsP3/rKN09O/O2wKFQqbr/znqOf/sDybW9ejf7UxYsptpvb2yfWH9x/z20njj1dX2ewcqd2Yx1E/slUnDxdvPpVrzh+Zv31r375B9/zh+MDOR6ID4P7otMmytQlWWPfImonKph/9H0We5dCiULLPnQ9IGrFBJIpcQaxbYJFNXxoC11ChPBcFfplL+4++anRBZ++4YtmX/Ka+aQFq7rZKbZKf32dbKf27vUPPVXde1s30uJ33zcarvg3v7T96EfH52KslBgMQ+gQ7PAVb5iNjfijD47mL/AanQSmxj452scSwQ0N4kjGWR8Y2G+0GcpYNK99Xabi2jNSfS7Z/Y3dcwgW9YszBonYQS5lWfGc5dqUgUIzRZr990V6weIluDiyGjYbSZI9AQ1+CFsBhA2EJSezcGkF/EyfUIHi3ch4Bps73IQMR8KBHL4ipGSkpPFex0cDS0o1RK1kIwhFPl/Y+DN9+rIu7VoOct/DB9GzYlGWYNlq42gQ3xO98mLC/TTj75yL23uUoBWl6CNUFetAFaAArM75LvhhRiko/us53+PljQ8loJ5Kp86k03fZu5De2jkIoLEFAXmDXDUMGaegtgqZjJFFEUrSb5SjYuMt9x964H13HTvy8etvaG0To2+7xjo7m8ya2Xx5NJ6uTYbjIT6GQzMYK6JJs9Om0VpQHZCisCRcIWyYtIFGa4/GndKw8ySXx8QLPwqmjmA3k88s/h6ZQ85Txl34PQzHFzgop7+TDrVru9BNPcIQLek0M/0je9YST5utRbSSsG6M3eMPf2Jl0M4/8a6ySkuVGheFOLVdF6qohmrjk2460LpScip2lPBt7Cw2g5Oj8/Wnmnbi/CwinFZMjr4XhBwby8JcfPRP5j7MOnHsg7+72aTtmbM2PfTYpRjUX519HJKS0+dpErr+sQfWUX6FOP4II93qcSUvXNh52YErrq/B7AC/CVAiOgNQxAjr4duQW648YgAo5kg/GxIilpJGS6SrEDUctlUhVEE9hcHM87kKdOPkyiBdmomdbXNsKl5/g//9vx3cd7cvdfz4Q/Ub77EPnixecnO3txQfPwG12F2H7VYrVut0bi5OnSs3u1CDKxD3VuJTx8HXXKowNg1egkz7QjxAjGlDHIBfrCgWG5rpIQXktEnCLQ0XgprKTPNi80Muq4TL8rQvehFc1nz13UpP5eQP1OUe9zP0vQSjRCBe8BZA1ibgL0zrSFKnZUGb2z4WGqGV7CcM41pu1Lndxi6YLfTRNVPBzk7pUJnjv4AXR7hLMxeWZCdZp8DOZQylSOghuWjjX3BGaOvAkCURlRNib7XlHQVWiyxXubbzznNCYs+ARVsVuh7oomJfTby5QHZrC0+cnhTDgXTZfIHwGTDJqFtuHXKqmsZOZ9PhaFh1ZVUPS4+AFXhMkAvns99JT8QRProYwh+mP/gi//ea2dyyzgXrpTKFLll8Ygq8XbblpmtfGunJTXlUaT8yj/wX33j/v/43x77yq8/S2eqsj2HSqPlsPt8ajlZmk2WEyq4ur9jRSjJlHYuCCSmgAIfgHZJqW/jbeQdmH04PAh+SyxOIPrd4IXTIAD394cm6E5sb2BfykC5TPDKLCHONDGX1PvfMFxSUH+C6Zt42M+wesHOgU9BLXKBY0tEoNP9A4c2gJYRftageRZARFmARqKGoShFrGJW7AFEWLhFMYdgJF5wd7PrphsZNycs8FC1eI04O7z0iEkdCdpil7OhnKDko8p1P30ghaYTX4VUxcXjW9QXjD1BYpEhDx2oxkqZ6+sY8iUFkBj6DD/wq4AcRMSRJHYR2UcELmEQQrGV/ztv6U58evPol3Ws69eiJYtuJd10yL7/DfeDhujPhNXfYjzxe3nSjffpY/XgVDpbCCnHkTHHnwXB6JoPXj51JEw/ibSrEYykdGiQ9jLftCxd31GzHbDyT3/1COcgDEsMuorNDSwI7ecznRRPiIDtvLFjMfdklA/0rChMnDOcZ1qIQ5EiefJtlPi9/MW1HYWZOI3bWvO1SgnEUBrWxnMa823eBm0teC5ishgaHMw15en75uRWXf3TfC/PbYsbSgoeWdYv8+2WxOeUq92q2xWsJBKoIzd7wz2XxeFUHuV5wACMbCoJtSIOAy4K+3sOOfvfLFae/dtz3ECub51rWegQFUlYVEgqBScPwGx/shnHlnD9D+XjsfWc739kPVR982+ztbduSgx5bw6F3NgaCyuwPt1BNMIaS/TFwdGtrF1/y4nsff/TCnXf76JKD7i0qkP4s7Dbw7vhXAVFtAJ8eUPHh3aLw5iGFdB004JkgiCLG6NWuK0RvTJEApQd+el5d3x0s7OvELl4Rj5P5f/r7o8f0kd/mPPhtYCRbmAtm2WNP4GHpN8ykCmvto4890U0vJHBSXVEkrWWp5bhKJYKwS2PmppAGa29NjHxqYpwnT20Co7AD62jKTeQ/Usw4LJKpCwhCnLkwaUPTBQ+jfEoQz9G6fawMbedoh5XvYSlF1z5LSYj1lF1AoA+iDwedLMZHROuE8MCn6FTqNGndo29jsJDRCDQjqkvKSW3R4/BHH93cH2QKQ0izEH/zcd6m5P88flYKqM/EX2ygeT+5LvmfHsHXdCdOihMn8xc8Pcuvdo5A9Efxhz93Hi+/6NYXP+WFc3BHopBKBU4bOc6qEp2kmEezB1FBvDHaVXbzjptIdbmVXri05CzLK6gaCz1J7+fAjx7GMKC/s8YKsJ/nWDr2pUS7zTYx1EYTtblncmSYgghVpOggjFArE/D2eULEo6VceXvMhYUr0Mdmy/we+M75UDnCil4BZwRbZ6pKCGohPzY8K9hvcCoRNTDPB0Hv/vSze1de97CF57qHtYMUFkrBNYrUYfwLMwqQn8vLa1+WaCABgTpoeFrAlaOdTefN8ty2466yZdGVsPIlqQ4y7y6/F14JXYSQogWFuj1tj57SZw5vHnba4W1RYS7LQkPlgO/3kJPB0An1ywdEu3bdZNZOm9n6zny63czn/kP33felv/QrDx06dGZQY/NF0RmKEANHKVaQ0dCodWxtUcAgH49ilN6L1lqoRWCb2jGPguxGCVAnvKF/83R1YEeC550BuLxdz2LR3fzvlJ05svFb7/TBV5ntbXOVlhSRSjNWcg7inC3m7WU7U22Gg+E/+PKvOfLwQ77bID2Loekldjy9Eyp+iJGButcOPp1SE9wNUUiBH4u7yhMiyBeaAgOlkVLg5BA9xqdCR6goCbjhm5iX6Hh5ZelheGpQ4EJLmdu7D3oPfN/w9pZa9jyny8MkmCZNuzRtvG3iNqLaXdsIK4ptJ6eQs6hOKIumvSD+4DOTtdAaeEsnU9/2kruMmzzx1Al+7Vtvu/3YU0fovFQ3H147fak7OPKnL07wiXL59uvqIycuiHJ823Wjp06gGP/d8YwD6CKqlWFtldRAFbSQtRRTYA49woBCXGSFN0499M+kG6Q9PtBnuu7Za7eP9Mw3AF1N0O+kSJYQXiiX8FQC+07OBRsUZjM+2OCdEj6WAq5KiibLbPzLWe9o3ckNmQ3q+KFBbSYuBwcb50iky0WoH2WyrgFiHEz9DDuZsiEHESV6L3IiZuEzkO6w+IzELhC/9US7gI0gt/nPSc3cBdVfLiq76zUG69QZUqxd5sHkDXju67hBYDEGpgAAIABJREFUymJm/nS2BsJpyUg7h4PkJFCoDpqmmU2n89Goq+uuHtStaxXIq8/swFGdYToJZca8aWc7kz8c/v4bN97oW+8HnizopCnJ/EeS2B1Mvi54pHl30CzCmsmistuNHbs5mTeTSTOdzLvwZ/ff/1V/9d5f+pI3e1p94W5lYT5ZKEMEGNwK1tm1lZW6rgDsYH4LK7d5M+/mbTebdm0bfIs8LNuyhxEoKbyOKnbBptpGI9s+K7xvmdFkMlteLDYgi2vCUWjM7ugjXujWdxgp2CBgCEjW2qiZixEL5CbsygEK+KFDNxgvzl9QrjmuZfi/2XvzX13XszzsGd/3/Ya11l57PKOP7QMYgm2wXQiUBEhKEjUqoWqpWrVRqigtQqlUKVJUVY36U3/qH1CpaaBqEtGKRhQFVQxBgAmTCWAOtsF4OPYZ9z5n77XX8E3v9AzVdd3P+62197HhHIgtVPx6e5+9117D973D/dzPdV9D5VLt+pnPS58OZmY2q611iybVdVW5RrtKKCBAAYcQICvnkGD0MQzsP/GSh6zRtQ6q7dJFl1adPe/0xVbt2jwGxrAJcZCEOOmYRRlGRhAs84DVj+7xAi2aWgrBru55xR+2bNQw9htTl+N5GB5uhzffVOteBWd2xl5otdNpwJoC7AV9Aaakj3Sy86P0vX8LNfc3f/r43e96tmrqJ+48vd2e9fba1z99fHRwMA7bT31x/Z3f8aFX7+3U2L/7G3Q3qoPlLK3u3nn+W13qNyevfK00f6kDt6qDrRo4kZZO7XDbV67Ral26B4nbmajNUzf6SC2S8kI1LiuyoNXFvAFQs9hx0KadjGnQ6oE+Y9KCrxxi7kPqhqEdx86o5JKpKqzWpaYWl9o92FI6TsMbxWEEBgkU5VwFZKFcsEjyijECEWRyANhKU30oFRoKSmYWFP8j8VsnjIKBGG9MqCUIzBGYQdERhscl5+LxQwamec8YuVKjseLFpLCnR8FLIY/dLiFk8WouqhjuS4wG5Y4iVim46r7os/+KMOfo+z7EOfpPFIEBXSDC/QqlgzMfATrwW8houoe+37TDZrO+2Dz46I1f/B9e/EfJswJgNy8/FxSHYUzDGIbdpkNI7W6z2bW7se2GbZt2bbvZ9Ltd2/frcdjFHB4sj56+dfsvv/CJn/nmbxKAJYARkoMmNQTqD5XTOPS72WxhrNe4giaMuW8DXJ92u9Btx74dh65jqtY4Ymonmx1Jti47qHIzXBXQlQWx+AuZot/gxgyoyIRfkWMn/5SKjjzGPPRIdQECTQUQwbcCrtB8VIFh6D30RX6WcpNVnXPHDWAKFvzGtoevxRfuDndPWrIGvQHnmDcdh/C4b7A7YJY5BfQC8MEPF95+eYyqD8hbGWLc0eePnzWt9zIZlotfdLkFSLYmbjaPuzA7Fmc6hNDWjlwoISqJnw4SVbTKVYRTdZONXlc5hzYhInZr8s7ovnIIB3YuWWgip7n15XFwnO6/4tq1uXYHt9ow6nllx7HO1o9jPzbX/ep1U89f/uyLmyHW1961tEN2M6fCLuXFrL7/6r1ZJTF6XzseO1CxgALmDPoU+kWXM7ZaM63WtAjiMIJuG8WFQ75QxoMkQbNg4Zfc/VKIy6idnSjnd6zOgidFwl8Ekdlno0bjoQOQNYTQpgTEhVIMoCCF5zDVo8lonUUUqwucN/kgyp6tlNgS1sY2G5VGxorYZ9JOGCqcPa7N5gsrEHQyAr5O2ALcfsAzwpQH1pS4P7O30A1PhSB9uXM7nY5LeEhqNBA6KCMCIlUGMaNrVxjY9wRSQrYWaaFXqNllBEB1jTyg06CuFHTxRqLMRo0B+YRIkErjCEMeBjkXhKCQojEzwlxxbPth1w3b7e5T+vcPd0ez3TwuUaBBoabaJRiMoto2XGzbzfn5ZnWxvjhDHuwG2Yfr7fkwtP3QYUEIA1cKdLs//fy7//4v/+s7N2++fHgAqfg0pmON7WE7Ncau7Xy18TX8XoxxcBxFrve47XfDsEO6SteOEN0gh8kypmDibZY9dslWlXiDyVelxO4INTNNTcWEepTIh4KSlLWOilOxNsrDKAAxzIvERdnLmg0JJbyCjFXWe6gKzXyIPudWI4kNq+GgB6PURQg/+v/e33Vf7sb4Ch5d9zhI6wIE9cxoRGAd5VswP5sAs2IlgIXKelU19uDo+Px8p2Pc9GqddK9tzPjKCOmaw61JfszV4/4r7vAJ3SzTZ38rv5R+fhLi4nT/rqm+7n3v/fyrJ2lMv/GCfPrn5V8ZEpOU/szlFudrx1sOsUGqwAZyTiN8EL5XKS1N3opAQUowSgJlyHuaM9BBjrED43PSyDK9h5v53QUYxPNOFpyMKLBnJD4gLuBoqHRU9MSPCY8HsyMMrNqCqbP2YAoJ9Xby3qRmQWbwVP5xjieOGyip0vpPXpWQg0goFtwuEqgPV6ixQHIZfI+dMn1FmcpV2lR8W8qs8a9CbmOi5ghlw2Rx99jsTo5SLgroI35je6Ai9ynsemRYr3bri/X65Hy1Wq1iHCwgJi57KKlFHrkHUYE10ECiLFITJA/fpYiOj3NBcUsK/dC2YztPc7RrUqM9ZIXSPEJXFkIfQjuGvg99N/7Mkz/7vXe/l70gKhTKqMQgxDSEsNvFk9Pt+cPV6uK0253sunYYUxhNAFjcd2OLmAC0hFh9U05tSv/HBz/w937rt//n7/yOUWx6ymKTTIQkBNTjECo/6rYz2LrhTPZDCkH1yFcECJDGQP8rnPl97eWu4lItzO5ZnDthziVJv+Xm0zxXzGWHtdaEUheh/J4AKpRM0CCAPPfDgPY5jMS7sCggtNA3bGKgOQegj1/auRn5SDz/dPCD8x8W8zhgivCVPh7fy1qHHedjBw2CoY+hryEDyssqL42KsFjw5EayWGEeYhufW5+jHpMNugkQ4xIVRPuNOeFj5dQa9+K/OQbM7L/Ea3v1iy9pW83+OL+B/ZL7lvd1eYhFivpzdMB8wxo1t6aGs3e2uuLGxy6VPok6hmyQfgPyuLIjQKsyBY8qtuiH46Bir8NwRbQC8JifJu4XvA3QQRPoGOlWh8KexmTgKcnxNKbI8G5GIg9t3sC3M/Axhy8zvdOI1MIoiY+kOIdwNliyJ8qGT0dR9U4QLaoMJs8IKBRGKPwG+G3KQBwYsDC+y+90RsJ9i5REWuqwagsbiTDDPpFr78TxFo6x7B1E4zd52mjQ3cR9uOsudu35enV29uD+yckbr7zZnp+FEQyH6XMZgQtRjJT0KZpZihxWqEhqg/BAMC5jeRGTH6Q4dV0X+iFIzDdESGBo0QwDLwylBDZIGYtsHM/dw1dnL//di/8yWTWAwrCxMKDM3ZBC7Ntt227M2cP16mLddeth7CLgGBh9jKBxYPyYdQBiD2wAtMaU09354jeffOq/+ER+6eivfPKJPzhdPCQ0BWoX2R+qhymQMjHlHjHkzId1ZX1A+096g4oiPKToM0MbeWmVVZz65ZRJm0tqED1OpyxgjXuhDNiKwEWGixwSlo1SQbENGBwknEB2TPScVD/smGQsKSnB8Amv6uy8cg77DNyMDjZ92geUvCl9/NEjaz3cuKNj8GcnV2+W6uCJv/Of/NUf+2f/V69YYo2JAYmdw4AxInYbKX3Hd333H3z811e7sarqceizUv/ZD/2D3/vpH/30axe4UkrfePeH/+F//f0/8r/86GM/1CWfEwZ7rMv7VEYZcOMmTTGaARFYKfYaGc5Dh37MOnTUpsq6SsZHjH1gjljkn4+6JVlr6xrgt3Hp29/XqQHj94999h2gFsam7/tI+/Jdf3ph3nM7/5sX95X+0aPt/pwVaIQwVBUFqMxjwMAwO62rhdI7BCtHpKGAGmWS9lHBO42crlHlzsHVdzCpYwoybROEOFGSrmR+COolSnz0cBaTJjmkLoRd8iTrhy7mIeDZwyOIH5GCBisb9kfEUcTHiELxMsxGEgaN/fmEweWFzSwhZk7xoFin3oQVQY0o06Uj5tPJoSBn+OV7SAHm8oPiz+E/6NZicFkkhrTZTBZsfpS2Ejj9ZRZ89PcpQTwcMNmJ+MHs90OM23ZYbbYPHp7fu7e7+8qqu38e2h2cxUSdQfI1OpUJxp5oBvJKrtYkYpjs8EdWtlH6aEpWMMvr4S8Bmhs2OmC80Sm7SATjgLzWyt23T/7Tv3bxfm8apTSAJpVhAdCHbaswLhvG3RYkjKrW1s9nuoF1BnycMbTAgCvABZOocU+nobDZrvXQv3Tj3/+7n/gHVbr2xuL+//h9/9N2tqIWHysriLh0q1MhYEUMossP2Aqg5Y+8jDJ2LnM9TApAJJnsSMoWpVCRCjdTOm0abKlpWi03ZQmjKcjXJasSJENgfShh0EGhZRDwGYVWpP2SpCmxisiTdS6b2lROuQr2tMzlQoIQhiJwkpE7oL/1xOabPnT9X//M6V/6G8e/+UvZ+YuPfNf8pc9t3/fBVDc3fvmn5dM+9Fe//1s/9P6XX/idD/zN/9z03bWm/5f/6mPf/Ve+7+LhG7tXfn/xde//sX/8I//eD/ztb3nK/9zn9N/7j/7SKy989J/8xC8d3Hzm7/z9/+43P/oLzz1361V9Z/PKg6M6ddWNx+5Cl/AooO0tez0Ga+EuZG4vbo+d7raxbccc9dAiwLbrXE5Vhv+OV7rSptamYsyLhXMpKF5fWjbyre9v3/z87Is79Z9+7/Zgnl4+Nc/diF98uV5X4YNPxlfv+Zu3xzfeqK7fGo6M/oVPNgfXwrc/P/7OJ2drE586yq/fz5XL1xbpI9/UHjv1y59qxj+n+pTp0KqufIUwCMQ60H4HRKKcVGNBsh+6ZLoR29Gsh2HbjxXGWkMnQfFKx8qkSo9zqyrIgCvjs0Y8pqzWMl2UjCr0rgBde4CKXR92w9iO3aYPqz5t+rjtYx+hmhFomraixSu0MJgnn0XJBRVeBZtMts/TVlU6l70PzjTknlKUaGEsyZeU3ZSUOH6epPGVJ3/SgrOX4Le3tCOB5zvM3g2VBnu+tf7SUhQFB92U9K6L7W4b+i60O3a4ICZcbPrT0+35m6ex3fmmunZ8s54tw4CSmTE97LbttuvblAaWnwJni2UfjoIcFpxDKMFCTZPqi04Q3nL9bAa8oBqrgEYIF0789BHaGqLKp1/37N/+C/7l7+me+OUv/MAQKipHYsJV10qH+cLXh9WdJyHzlqQUgDzsLokboGYFMLXAvB6AfXTb9ep8tb774OJDL36wSteUUne2t57fPv/p65+maWKGXJrIGT1REWDGMRqKoZTHidwrvh3TbGB650Jff2zHImPD6TYpk2JFCEvgaCHUX8bfTl9VBs5CrjYihpK1gr0aF21BVeVTCgvEWVdXxjbZVHRE8OQ1MR1zwmirB2+0f/29r/zQf7/43O/rccjOj8c3z28+oZQabj9Z331l+blPKXfw/X/tOx6c3P+b/+HfGk37Yx+7+37z8cW7v+eJ60f29HPv+YEfWv3Wj++iGrcnv/hrH//Af/Df/u4v//xf/p5v1z/xS6nf/PzHf+97PvzB5VFj8q0XX3/wm7/wU59/Y/3ck/Or58WNeCihL3GyD2FwAXNj4tAOodP9ee5WY7vp2zZuu3wW1Ln1OxeDuOzSFxYWBGjQPIXAX5ZZWru8G3C6zs/cqzv1ne8d/sWvzr/ng0Nr0m+80Hz3h/rTVt28Nbz/yfjahW2UeupmaBbh6WX+w516+fVqk+MSEXjxW27H18/tzErGsDCw/pxWamdz420Fb1HOeyWpM+uaidLrbbAY56Qw5qFX2zZutsi+CwN2ttifWrOo9DWvrs3MYh79LFqQqC10pARMCVQMY1TdEHZ9XnVp24IMv+2HNob1yKlgl9pRt6Cg0jqUDxn1ahLMDeiVtqiakd3Fnwi7WYgQ9wmrQDAIppDZfUl3xfNOgxadMmgSCd43hZRyOYUreIj0PhNEAwk41wCdpX2CbpwITb8n5k7P81uDWbXWjbUDYjthnLnZDBcP2ouH5217FgZkleaY5jpee27p33cdCvIetFoYBg/r07OLl1+6d/eNV6kcE2ralGVe8HH8dGtJvJnSpIgcDQRzsIugMILe0JwW+lRB6sbcJHx8DAHTrbuVf1lrVdcnlb+7a9+LNSlDAFfNqmp+yOjXZjGfi5jQQfsnBU/iAwlhZkDQQz+2WBLa7ebayel5PV+sPrzZ/W47381Oj8/6bxyP5rdR86TDTRls476FqdMYxNJTgr6xGrK/34+kZUPO0YGIWQuRXoLAcHsw5KWIjy7ZMvpSKHp5UYqgcvoNlxz3WhHYi+GBGAkUJGsS3E+tAl1ijdEIiKsWYaiViihhMuqAuLPswrVST/34P969+32LFz8tBMD1B76t/FMI1ckbKOLz2a/8xI989Nc/+b1/46/Ph4f3v7j6lL5/3nz8Mwf9q59/5duef/izP/+rKsef+Vcf/fCHPvCzP/nP/uMf+L5/8X//ZFbqhY//zkeev/7P/+k/f9e3fd83PHnvDz/3+0tzktutUnceecAjVJUuInxHi3hBXP4gkUEeT+63Y/dwt13lvoexUZtUW8XQBFtFMldsxtbAcq1kAuLjM8LL4xOfqb/r/e3Fyj44sxedeiHof/f9/edeQgf9He/vv/Cqnx+FOplPvaFU63a8E7qdvRjgrHr/Im8HNXb2YpNON8oO1h6E73wq3Du1qzP/4M+Rh93lwYAFDSNi6DetM57YHbaVFaqf2YzxCLLjHIccwEwd9ThAUQv2bOpoy3Nuc7eYgciq/Ey7hibQU0ycSYMaR7UZx9VGna/DWR86UMtQiMachpy7ceyAeMCLAJivShWwWoJ9sN8lUQhUDVhUFpcOcvfxMJkMjb4YBOMoG9dLQyT44AlBnxkkoF6gvYfaddoVk/5M++nLrqCUWrG/Nkhy0w5s8YgXxFIg5FV4Lguq+SVPL7/FvGpCo0F0MNuYXbuJ99/cDv3grL5zc350++j67esHy4O6rjkajH3fb3bbk4fnfnYtqPzaqy/2IBGLLkWRCsM3SLyGRhmMsAbejdch2gpO6fGRAdo0JIRgnQJ4FGhzJEgtFrN+fGbbfsty/nvb3ddn9Q1HR3OrU+UVsrjr2s18NfPL2cGsbqCLQ3UuFIgJX5BxQkb73A+2G6rtRhvfJ4z9z7919ZP/8Kdvv3r82vP3jq4tZ/EgYPI0trsW7MK2GwIQjTEG1FjaqjCIoEj4hCIjygqumEwz4DyhSE0pSpzgaLETEBdcWiJmstSv7G9kqlwyIbn8Q2PNnKopGa3MTDiNRcifKfpURtGCGe61Ho0xswbhKc7MrJ/nFBuvKpcqOwJAvpTCKBPC8vO/L3+2XfuN/+i/euwmGVb3f+6XYHv0cz/1/8hH7uG3+z/yqd84fuq9Z6f/6ydeWymlPvnrP/dJ/uv//k/+N/m03/mlf/k7v4Q/fP6nfvwX998OZpwfuPr9XScBZFiBxA5bIUKMLg9lVqiDdhiAjtg7FdF9jiBH0TtBI20BAUg52ZCNo13ZI+9B9m5KqYsz/dO/VV2OBwvWgw3o669xSvg6KTHFoTx+6jP+U3gRuKd/7+UyS3/l7JLL/dEHAkaXm/6xqK3/3x9aqZnxlda1F9ddDHCEkFmhppkdUVSMxvHYJPI6ZcuJqS+kEQBjdRvCZsyLkN2QPFzqjHYzlIpRddHuOgPW/SafrsNZi8bTcaAgtspi/SjBdUblGlYEwJoNUL5kagvvcI9sainOUqWkqcHzXLJGLqmZID2QNUVWFqQrMkUUp/5i919YexP8jG9IkOBqnA8bZJEl8tnHt2W2BcBJ2vHhWRaR+pc/w9prc7xonFNzrypvm7qfH+du1zmTblxfXL954+gaDCqapjbWjv3Qdt3D1UZXzUXwD3fhdLUaT+5yeUHzx5cuKboEbqYpZTFBJYuDKdk0ZxMNLjMK5a8pYZZVgNUCmcxeuvsjs/qFrv3mZ585dr6qfMVQX/jyZ2+9Mb6qMSgTDWaZsk8osIhtkFqNvT2YPtXMDGNd+8W8sSr0i+7Nb7xf2+qOvjXEvBviru2s1f0u54CMLFGgYZYq1EnGQ0osrCwkNPeXl1sso8ReVMSo3AMXQc/EqJuskfQj7GipyGIpA7fDKY9hgveL1pQgBUVP/Nli0UKMAHcmEC5YjiZrTeVmFk6c+Fl053P0R5UJxyPHk//OZnYDCsx3ePzOiVLvefIdfMHDlx//0e6ijQfzGa60iGcx4CAODXNfbjUbY+ba9TkNkCx0mVpsWNfBUFb7aFyyDvMhjRZFTB8f+THIlR/+BG/va8cfc2il5842Rs+MbiwmAZRpYfsDN6Ost6DfUJCRolWok8k7gMlhgL921hG7IPDyxG8XA7CABocyiKRGlRBSaTp4C+QBazbcIxnWys4HjwJ2ss4qn0Ea2ZuHOctUFBeTN8mCqqoAPRdmG3sr4dYWj1D2zqDHiXB6b14mbawEGxFUu4yK5kH1ICdFknJfONEFN5GsUnls9+xC2a3mFAcGthQn/S97krmpPqxn85vV8cHy2Sev73bbrm0TFio7a2Z1M2tmM04BdGpmVVMjpyTH1eCfXrv79893m7PQtcWdbc87KNCquVpkKE+mVgB2HKHrujnoan3fDH7wVTXC50dBHLQP1yYmexDidy/mbjZrqqb2VeOtKyhQcWcSD45LPGhv+SrkZkfbH1fGaCiCUsuBHDhE5MhJ8xZ7NO9cQAgWUAH8a+mBOeiQS0qeRbH4oMMQfhx7bLreli2SnAruXopnlqRO7oXQabJ7LsiEWN2+ZWTA0euk39GI2aZ6hdI7SRnCe+K7gfo90yoJfIvKej+r+sEg/TAgcARshIA4yMduh3u/vfzqFKOu6z7wfY98xK1bnXNQ8wxvLmFpTmB/UOilg1ej00Od+1qtgzrLqrPa1MbPbVNjpKx9Qt/sFJ0Y3lFI/NeOP9WhtWqgUkW6J6Cm4r+J7tDmVKu8gV+WJh9LiEkJ7o/wZ4BZoMg1ssq1zV4ELdnnXAEx4PMVgs4jGM7DmLsQB2y/WfV4nUFIZjlBbyebckkroUEohkL0iInRalA6uKEvNnOcdE0woxyCzQo4KMG00mVxrr9f77mavGWmN1VY5MvTo89CIitacmAKaLoiaBXF7J13uOQwyz9+SbONK+eZP7jSrpq5RTM7OjocR7jFcS/CuDtroSVAmcNnLoBJhJux2uzCg4fPnp+8vBpfk0CFqxeviNhx4L2K+A1CERDtQtt2s7rpQYdumwahU8M4QsDNLxSnNiGTO8PUYFjWAdbwvnLUcF59CEUB9Jj9a3kh0vHCDKSPYxeHLoWxaxl81SJBCu4SuMGwrAYm7iI5Gx1zoFNTKbGC0Ezmccw8n4LTp8yqwtVhfORVuixjKKH6RI4wcA8OdvN08rnvEVusYgUnmyqMs8X4RbpkcSwFVxwWp8ysKUk0gjyLMYtDgjdkicDGjBowGYmO8kBvcD9k5ARgMfn6b9vVi/QHv3bj+WefOlkNNmxUfRi3px2k2/nrvuEbX3/x0+fbryy66rZbvFrn8cRVBt4czD+CAgyPrE3J6tHp0aneq7VVPagp1s5sntuAras2mFDl7MTEQ4T0XyvQX50D0JNjCCTiRySbSrZ4yjQ5b7KihJgEOHG4QXEVj02BaGXGAio8b32blaNzGphvYv9MRR0S/MYYAIhiGZZk+zQyb5N83LJnFoM71GBgYUrDKhPSRmlcySimdEb8GPATy/hmckFi/aXj79S3iaRPXrBM/68YEuxNzQTVLjpECLqLKRqbuiJWn3RXeGkCbRA1fUc6KJjDaW8qwwibImEkdCHdmgKyWdVN3czrdHhQHV9bzA9ubM/vA1CJw2MrwdQfijMDtwmFQZdGcO3gnwRjO3D9QJKOARxwAgIoJfKeCn8BuBKrUsExLo3+ZF8zXaI9O60gKzkyeWUcW7BGdt1u02637W67Xa9XG9iWjmMw1s5qj+UjqX5MQ9/zxdDthcue2GvIKZFTKh9G6eXMrhjXTdbhJc33sh0uMWwlYHbah6lpXdmf/iICp99WuScEM2LpR0Nvk3Qqe7oHeEux3w27i932YrNe79abdtvhf7tWXbRVLyHJnhA1SD7G3f7gnWYZD5/u+9OLd32gX46z5bVb1tgc+myfUGM4bcPtw/qz3ePK7H/rh3vzQa1GoBpppoPWDUKvZMCaAT3PnEnRxAq9CZRhoGbN5o0+rlOtg4nKmtrl6HL0GDj2o+rDW6UqXzu+Qge595NnPO5YQQP4+NU5X2TdwTpA9aMeI0xb2r4FTRZUBg0DezQrqXbaa1VBLA7xNWTURPwwOcYETjMeCszkBCIrqP0CkBIkUSOideC6xO6K3Awg24hLBmnPgRJbMEahY3HTCUkgRubgXwNdM8aDQSLJpDgM0Ta4PJocIkC1Ky7Vl0WVwcmFBDEFJPNU0E2GPqxKBXECYQtR8pOQmMoMAcLX72zPx6w9fN99k1dIIMQ6tfdVVVXzWVou6ls3r9248cT25O46nOlMiU2hJgAT33eyUqMh8hjidts6P7PWo33uOrfe1N4zrAqBABFuWEhlzeAao06x3ytGrHt7JyBIqJRYOgUPKTRF7n04fwC0jX59jP047rp+te1g0rHbrs/ON6jO64v1Loga06iqsp4bNKazwhYIYsxC1eCiS9liMdHAnSB/Fr2I/GAsZ5Stl6CZfS77RFy5DDUoHDoeQg0qzDwJocCngiG99wyQlcp7VwNO1jGH0/b0/ngSEM2U67q5tri+bA6euPbkE0dPD33anu/O3MUFGOxjuz1Nufc2VTbanIYYTv7wgW/yu79hZQ/G3/rktWjOldlm459//vmT1z530tpnbizunm5uHM3fON2or+ThXnmIdQ4asUEvvdZVqioOPkGfyzbHeu4CcibBzzmamxiJQFUaK5XOoC+56KqcHKg2fDC/vNTva8e/5QPtD569Ynkpu2arZoa5AAAgAElEQVQ8ijHlOsMJdhOCCbmLdrtT214NwY0jiG8Wboqusrn2ed6YWW3ryvuZNdAyoCLi+XI22qgUvcuHBLiUkmRI7GDBbrlt98w2LCRmjB3FTCFBQG49YGCLzTj9w/G6ivwLykfJ/qSVMh01JTaQmKbMjwmUiIN/AW8vATTREVK1IZuDkjYNvqhw+yR8XGyjOaHSwH7IAqbZkcRp/dHwxpc66Y/991GKHpPVLejpPi6a+eHB7Oatg/uvLbebC2U8a7KY+gPnnQKxhBpMieAY+rbfVh2gqKKiznATQc4U4Au6XUKcVmzauOeQE8SltZjJihsU9j08OHyEACbS4COGgNwRSrLHMG537aZN7aaDm1276bt121603Q6KE4MXYp0JHUqAgbWDZvvMYC7IZ6jPxBRYPA95zssgU67TZCElhm5lNjlx36WPFl+H6QRKoVYFutj/+dJKaSKhoFGnh8mk1/c6zdSJPt9twg13/Ynjp5668fzN67cXi6UzQAnGIa7bYWd2qVVtNW6qmdLzlKscesROELfJIccuDDv1iz8yl2J2LtQMpc8e3NtsdzA9/mq5t7lXtjvUWu2vj0rNgS9qFWuAmkDamfyYrc+mYYSKybPkNgl6oABc0yQ1IuUAYjPcZmPUIbo/sQn61453dkw5ydRhWKEslf1m0jVU2bpHkSypVvB7Mx7wLBbWXFl1NK/mlTls8rIZm5k2M6SgiOunHkl3hZOXq1SuVKiCtUigSMbWNcRiPbRvI5hqslfWEaIyeo4hxRl6M5gfAF6QXhHEsMJWxUMlUhPZkbMRZD9YTCZZZSQEBQiCJbhN7R+XBem+mZghv8lDS9wZVDpp2rGmlA6bLTU7a/4AYPNisLvPKX+bp7wY65UY9VIWHnEqYHyqW1RuW7lqZmfXmsNr19ZnJ31PbSV7HxJugbTT/x5QKS0p9BAhQzBtV1UIZwJvpPIwt5tMOwEseGklr+AD3PAUcjXPBdvZ0PcwxmvbHr4e7a7dXnS70G3irh26sRvaHgUaHoTDtt8hDqXdhtSNsZVgXYb4mRgAcDtnkSQCJYgGxE7jeppDC7pBS6Vi1cadFNKmy/S1WL+AZIg/Aldil12a7b2R1qU0qfzB8JbeR8eWPUIZLnDqENGdZK38UT27NddHTtfudn396RvvuXXj1rXD4+VyWTvEm9CfG/+BDwfsW5H9ZZzPbp5to8ImZ/QhtIzZq5GvwGm87lKdv5qHe61tR1WtU3wmVqNSfWpjNPO6QlKN9aMYtZSwOrn6YFfBYUWZkbvRaIMOIRk9RB2CiZFI/9eOr8ZRXDBlQo0BGywpcT+nEGf819g0sxDTkGqTYnBOOxiNx1jrfOjzzbluqjSrYt0k3zhVG0QG4/EZ0YxFODRWMc9DOI6mGsKY9NL4rUIXprWLIfdD1JAXY/IzwhnJY9trKXjGKIbl6FGGMoswyNBSuvesTOK4V0eAYuqOmw9jevouMwO7aFv2e3aWy70/ftkIawN+/kRlmxQTpa2TasJRG8vJW704/ohDrDDwJyFzo+0XLvPlQfIWHIBExuWramKnTCeAHlRFYik2IeJRB/QZ4YTtDht2GJDKM4jVlt+vSEbBXJMSxk0Jfo54nnDlAC0PzXJIsLtrx/UakPLq7HzzcHt+0Z9ttv2wjsM2jB3jEGFOR7I5JqfFNBscEd5N2ALBWQs4Anw4UALKakGYI0Oewl/y3ovIWxzmBHabgoMnf9dioD0NSrkHEk8ludTTaVTFPmUSDk4fJzaCsMbazm/Nm+tNCrm/GI7C7ODw4LBaNEw5KNpauQvLdxBERCA1pF0nP4+5lhTwQt57/CEzB4cHKo7rzVe7OrNAb4b1kB52Zh3i/TY/veyfXpoF3p2tIej0Keo+Bsh5g+lHtRtVn3WfVIuzL8RCOD0kk/uQQxDj1Eff4JeS0n7t+BMcbz2TBXlk+wGQAJmY+JjNeZFSBZqsPYTOO+2itrnGFJ7dsYvDQaPndW5cbOpka6eqGtUZYGbUEWISbJ4QDZxmJgduRkeVox2bBn4qMalBIwVAJ9sD54WJEZANArHZZgd/Q6E4la0qg+bY/pDRISVY4palaKHOwS9P9gWFkWaBtmLOByprgjiQHSIeeIsPY7J5havHkieyQYPKIm06DUH2MVsktAFDL9vwd4RBC3scjn2T2WPyUeLy5BMQ3gmQth+HAeLptodFcgAJcaL3iqnTxDEoMg3ZtVMmGAPpdTTW73cxzsW2SXbzuMZTkAtzQDBgdFRUlw1Khn8zc5+A40SMHwICwzuE0rZdu2vPh3GXxs2UHR7BiZCtFxAzIU3LPJEr7CUZg/79oGaDoA1BKiMp6Y2VUMPLkjnlmZaKDCoRaYGy2dnbJaqrUQ5lKQU5Y2IFqr2B4CM3P26xxja3FtVhNayGiy9cqKSWy7k7dCCxOOlVKA+UuJuptoucTltbcaRqa0R3KTWDBxcVQhC3wtIJt817vrWt5unzv33tvd/6keFzn7o4OBzt8tlbi3uvfFEf3JmnzedfEejjK3i4TY92YMBwL5xuzWrrzld2XsWZz3M/eoP1PAa9i3kVVRv1oNVgdYDdThpTcACqdRzzqGM7alJlHyctGWOauvpaW/2nP0TBcfUAIIiIYpgdg84hwYQW1oWHSVetyV4fVsgTrYIeYBIEDX/qRxfT3COW2XvwEmBqWPIWaBWNgjYAK6WpkdemwXOTgpiNmhQdIixGrQdjnXZ9UC7gMQR/mrGZCdmcCnxcYGMy4RGdSHnqLR1qpMp4PElgIWA+TXKCwLr8S9ImOjRW3CuIo5Jwe8mxnYI3qENh6iy1eRIjJ8xRIixQlRWbD+4CR8aMQDwjXfTbPCREph9CDj1TcuHABBgYEzS8kphzO467Xd9uNuuz0/N7Jw9ffW13fp+kRSaNXTq6TkMwGozIH5k4wgqfbd+33daunZ3Nm253MBzQlCNA2l/ZyoLM68WGCOtMSngY9+AscwIBCTPEVriVvvLVsp7FMIs6t3FQLg+Y2CH4DpG+9J8jGx27H0AuWHgu2wC2wtLtlsVGzFLRqXHFBJdAsAusllZSfsT6g3gGI05IgZ4sM6RcsMWFjcZeCT9ZI8XJLaWQ31NOxunFnWV16LuL/uxzp7BVNKau/Lwiw7A2htNUsk85QC9RjFzv6QYjE3BT+arKDlu9KkafYx+K6R5+5LUnwvGT4/rUPfO+1cOHD4eTh4ff+OHbR9fixStPv+vZoyfee/7aZ4ts8Ct5uNWAzrc3cRv1aZfvbewXnT6s9VFjLObnI9zNtRpi3tC7Yd7oxERXGd+OvEAp6SHnEW4MYIA3s2qz6ffzl2KMMx1vdQz98lPFRz/8R+5D32mXnh/9z2Prx5f+bhOF/m3/2GlKf8kleluv67HPm/665zCUv92eRWL/eLxAy2AtU96xRttGOT/qzqWqTsSDXd0nzodQqpx2XgGIww3qAoBgEvUL9YmiELLjUo24cNXAWIvG7QCwQbOLKrVJ9UY1tR6cnifjjHNjcjCOtqoCuRp9nYNBenZApSU5BRpC2XQKNDPZ15DgwCd/6jGx+hSecomjRWiy7JiLAQs1ggI4sBN3YCRLtB1lxbIggFctZESO+2m7ZxQEypNrzzvooJnAHaA9GQcFGSfkrxm+KC6D1BXaXXu2WZ9f7F6/e/byF++e3XttvT6N8B+bytLULZYWOCduAgT7QYUbQ7Tj0IEs4q1tZ003n28Xy1WzqPzMY0aPyWEFbBicBTgsFGpDAV6ALzhgLDl7XUcTZlVWB86b2XJeLxcHx812s+q6cegHQDwh9t2I5RWYLrzwrMMckr+wnFFdWpwv8CMwWSAggbWkOBVx8QKxpFTdPZDBCyh0QF4XcSKUrJRihCV6Fbm9J7xnL16RLQa9C4yZ3Vg0N6rhYjj/3HlkNjvNM3Vl8GtW1fVs5n1tnQNpToBmsfwoqyJNFS0ELdZp71JVWWO90Y1Ou5x6rixY1tq1WV6Py+P4iV88aDdfTCH7tr/fvvrs7cXvfeLT6u5FHb+y/A05XDeiIWp1bnNujD1T4cz7GiY72lvlQdSAAxcWMq0OZuaaR2wiWiTx2eWSg5zEAC6ULFOLRbNcHvBpZ866bGvL52OvRvWYeJbhOtEFthSmEughFmrio13WZD5XRCynpxlH8XrHSpmtlfAxKAiknEH6BHIo8Eb5WhIfIhKQ+zz0Q7vtxza2bTd0Qw7RRIjiuCQloxP2QWI1S4CMFF7s6ESeBL0ppqoR6C9nPvvOrcjYKIQQL/N9/wvBHHM2pZsUGB9QXVFBg2wFkSat5jzTBh3gJmTvABVk8p41+lptnz10OVeY0pG6RF0Zx3JwO3KeVjxbrV1tkOipgDmADMnXAwWSib4QZyUSavLBl+uC1ilpFT0uL8hvIC+rwLYxaQcrtQNvBmW2UXXOVBFpbzZGG82ArtvSoEFxwfAY8MFtku8arSZvCEt+lPxwPO/F621SEpYyJrZLxZiM2YnAfSV4Vm6cQggoaRvsoAvORrtRSc9SGW7WfADhdZPS0ElwrEwdv6Rf0pc+cgoht13qtl1O46x2IY2LtHDOp5zHcdzu+vNV+/B0++Zr65deun9y/2QceCNMgpp9bsyVuD1aU4B7iHbHwN8qZmxRWqNBcZvN/XxhZ4tZVTWNb5IPKntq/Uh+lpDuQklGP25SorYRduEO8JVfLqsUZhKmCqwDU8chIgQ2j0MchtT2Y9tCloIkgLEdhhGUzK6L40YqF95dAssYEAvMkhxJBIaeJuBTGNDtAVDBgkPgHOPJwGQyGTgSYi43OQ/ieqFtZ5kXUrfgG8UsRE+rN3SMS7d4ahmHePHiKrTj3tNO9o2NN3Ovl/N54ypXNdZhB1eaZY6h922SoB/isVdb0xhfu8UA7b0nCTN73ovdxv7aj1/TRo29Vgp+Gm9+8Q9CiF/4PHkp69fUV+UAOQ6eODoPQxwsVtwu5prLDvje04Qb00+Toh1ttAs+BEmsb1CTpDt2xWWQz4DEFpR9kTz2uPMwf6BOTBSd2BRbsV+DK4Mk2aOCcr/DD5cKKVsm0QFLYl3pzeXxJrSknLN8yIVaJein1G/CsiiLwo+Hra4eUWeFEkqFbciRCDo5OzBWhlgCF4yresRPKRZq8kThcxgASnPjMpsqZAW2QaLyl22VRNLxH7nDFt2q3IcS1ns5MwZCC1wPU2+EFsuWkTautJ9n94K+KwYVx2rsc5yBxsFvMoLEYCvoJZT1JnZkPMAoJ6tkA+luKGEYHMAUC1phlGbENURAATjhZLAyTg/nQAWwBlCgAUGDJ010Omo9pkRbDmjIR6Nqq+qU5rQt7yneAP/Ye5i2CEDBMgt0o4TE8ebDxUNsoJj8XpnSyO0zPa98GOnBL25o+2pZCBt8D7z9wCCQLe1eCQHQkkG3wutCOiE88qmC3zs5vM1DKF1jyLs27jaryqWDYd7NuspXIBqGuOn7fnV+cXr/7PT+6uINyDpgq838WhrLTLQSYj5FsSH9B24pGlWX/QU4FqMdhm61Wi0Pqvl63TSLWdPXdeVCyDA/knkcFr8pPJ0McBZtC3cJXXm/mJHwzdwp7ihw34NKySYZhnTgcIzrPrTI/Q39tm23234YLlYbpGP163a7iZBESP4eXOiLKUCKzleTF0Yg+l0E/azUVNPsNztluZTAx0vB0SRhEaGKJE5eHtrq5VNLv/S7N3fdaU/5OHquAl0U4EI3lasqN6saDmbBTGRzRuOOPQZdYuPx78Soa2c77w+MX+q0wnrmlLfFlwL5x1cOMRT6KlPUUFV7WGqZiIEQklGGlHo0oQaPoPS2OlqtZ97YECuoxxTE+zljJCV9AKhbeO907uefqVDjynnpQMoRSFEhyGWaeDNyScQQXXBPsHvpkF6INvsRGd0CpiwFslrlEZ5qN6ZDJWmDzWuR/CL2pXg/MIEPTwiqctnHYRINKxHWdIcmF83jxM0hnFMySUu54L4AT9eE3pSYDkHfJNUDWY4QXYvk68o9x1EMRsYggUlvDYvIYkaAAi0bxoySmbMP+A4hRow0sKjgn0aj+j6rKgB3RFARnuwrml7ruRXISu+yXkLhxn20zfxJiXV+sibHWivVWSKW95dL1ieYsXu0ZEEnVfGhxNmI+JZQKFo8+j2GeBofkugKvn/62JVoFFgwgZ5cHkJx+oXlXSFw772jLwEnQqFsfziCY3iUfIcpPRtfiakkrhS9obFjE6FOGTPK2smtXAYLWbZvJJBjLZpwz8mB+o87uOBbkmVyF8Nu1z9YPZyd+oODZeXpApHzbhjOL3YPT85PLh6MGMRJLpiIk8tWWxAb8Yq6YrjKS691DAlpMyMc8YfetH3l2935+XY+O583dA7FHt4ZJ0qcWkjmJI3jOyJ9EfEvlgi8xCBMjwc28CKhx6UjFxvFErpAeoCEcez6YQeJ+Xa7ay9Wu+262253/W613W3aIQzjECMqddaIgoXK3VrrPb1mGTQ1ZZ+ULTFlScwWkRsb7nwyt5VzLxVAnlW85isnO2fll/7w2cOwC+efO6fnorwR3kUyfcCu2SVtta+ama+quq5rlF+GQkhgvNzm+xotc0KjvbfzumrretbMFoOqbbaV7535iusD3/7BFCzexmTnWM5N1CBiQIjTSIGn5YYGTxq5SX1QI9IjlM/GIY0IUbdj9GhcEJrpNMJWSp4PjQMnkW7Z0pUJ0NSbTyawLMZieIs7gHFFwtIX51rOvAtxhv+PdDnFnGSa4EubjaFZmQPLjyYzFJHOGFWTtsuAXt6aJWdZvOQdBz4sVKgcsAWClaIjeYldMHPlynh6b26ATaXs1lFDyAfFGyOHF3clxa1FEkWKL6mjEUwwnhUKgSQ+XuozATe+6SJzRpcLpYgkWoM1Aw4UU1yRtBQYOFSwPAz4lIl4bngqtlktcZ25vWBi39XA5KnR5FOEBwV7KowDkUCYVOg1jJYQ3AO/JUrCxVAWFuDsthlGiVgeBytEeIMjBIKDQdRx/Ej2c7KqXjr4iwdwsY2e5vfllqBinPtiBhbiFuSrhPuTwVo7MbtRd/ey9StedkULQUoDGCliQi1XjWr1KMFd0slC9gZr1LdXo4n+VQ7hsynr7dbcvXtfm/tV7SqPazfGsLoY7p/sTs/ejDiBAHuKgpAXf8/2k1aao1EuoazdQLLJBITnHrgSTujMTPoOfQePjLppqsHTdgoa0ATTX2pz9o0MwYdy1qY7fFqESmOI5IRSBpVzVVKpaWYxjPMQmjFs2/ms7Rbz7eagO9vsVtt5td343Tb2bduN67bHFw+t9CXowTnd4CgWtyIeXwnHRTIOgghKPLckqvG6svnbxxbse51yaJMPnzqsrzWbu9th1fMdlE2S1CuBzAxEll5XdfR1tlVxF8Wyjtcieduy7olPZmT4ijaVMTSfcrbyzps6OQi0jPEqi0dmnje4z0zWu7GMf6AKUfA1BFV11CPC67kyIfFtetmlqDEppyTLg1pVDMhZBJ33cI51Lo6A3cpFu4LcXhboiAVGmhA8MSLCFE8rviSUI6ggMACydVPN0EgXWwUC0Fi1QbPB083Hk0Z3hCvAwxd8gjgHUF3GQ7PzFGiWKNH0CsVN+7KjgGQTrcck9OSzSsgJlWAfvTDx2GVfhW0z2i0iUyX8qMBh7LCyy2NXzB9Iw2GEJPpwXlEUH2Hae1cI3ZD3szgKUpqJw5YOrsT2SC2SAU9ByIVqQJm/QMuXoHnZRrAOlSpVjMhlmiHsAMS5kagANq/T2Ixh5KayN6AM1EZVjpKSBFcrnKEUGVNV7OrpsIHStGVRn0wqgNvs/R4vXxjjzcRTfiKyijJasFm0ehamhZN/Bv0y9w0Q3jYyg5j/BmodXjeNPQmH7iMwyn6rfI+931ox41A+I3BIJv5YafcTZjlhV3aXfKGyhwF4I3w94UlPFgxSxMV8JwJJYwJVgYJpEMEEvkvd+NsdM+MOBEfA17WfzVzM9uF59/D0TYQllk9J/dBvt9vtbjUOrTZR3sCVeIHL2bFkO4kRH4nMhcGCppukRJonReYqcjsDUhyQj2EYtPWoGTCSyDSTlb0bnl5CXkU/85Y39ghfrWxa6CMSdYZaEMOKCFzMN9ZXdbOrZ9Vi2WzW3q7rsF0r3e2i1SNmxSAUQq6I8kxwo7zTsh4wSVI4H3j90kAI5j5xesoL4dol22c8+7W99tw1Y+zFF1ZpINl8uoWujCGVc66uq+XBspnVVXXobIO7vjRwLPcyjC1KqaLpkm09Wn9nLBnTzvk4YDdB2yp+d5+/6y+Mv3/PPt2o6PLpWsdBP/d0/MSL7jveN37ynnmmMb917/jZJ5o3V3lpWvCYkh7G8fpBrdzs9M278+tPxc29s81458lntqdv1gfXUkx1U7cXD2J1XKdVrw+qeHZy0Sulbt68ORjvtmePF2hZZK40U7CamkiHl4oAsAKaGvE5DayiOBgE5mu9Y9+oHW4LZ5xnG6qNY44GnUsFiGb1wqPKJxtzZ4Hwp8K695AUvhSDKSNMDXkhuUPiiQWAyWG/EBrpdyNWacSkaMZYojzwiOODEyotnxYzlLI2BICwBlmZkzL48uYSfJSdLLpbtLfYAgq4TGQHIIOYdU5NCq16RBtFP215UrEDKEMqOc0iYBOCZrFR5iuUx5K4h2wL0XNitgkKHQjKMwF5nYyt07K2s1rT6ZflJg5YOBiAorwHkUP7msVyE7KaocvZZy/tDRPEpFmC46aPA9hm+4y9ssqewi+aWdCZQ2GWIjsScSVmxJMkGAInI8g3NQR7vdu+MqOTLWe4jHdltF4wBqnBQpdmByJLvQR+y9Jp0INJRU/e2iDwPkHHcjPxTQGOSgH3WYDegjMGpFNIHy0my2zMS/7K2x8SAsVDQFhV1c1sXh1dO9Sv1+1uu1uftH2vKGNhqrRo0Kf7s0wv9j9CmAoM39vPNPkpMUYnfQoRNaQFQkUYMDiQfSKa9BE5AGDiwI4ZHv0eU2GyVx5h/r7NZWdqrXEOcPfgNjO19TNvu6bCIK3a1SAD1VvYX/q2121ch2j6gETKAcFqcNQq363ETJV5jAz+RYBePGCvzkfLC5iaBqWa4/nB08v2tOvur9mM72kYk6cHbxnn3HwxPzieHx0eNfOD5eFhXTc0doZvSSEITryZq+ddThD235AO2KaZrXWtosW2ikQU+cyh1+tW3XxXPN/q73oi3Dt1LYPvk1fvu52++DJKxNi3IVaHx0fr0d2o64vtKZsMdf3OnaxcqLxS49nZ2ZO3b4EmEzfz5e3t2ZspRlc3TVM/eL3g3dZXc+fG9nEerStYEUAiBBLh8ZnsxcqpLoGicAL3NRw5HPdieCw8ijXNDfD1YtyD00LchwxVlqPJVHECptkp815D789zuN/dyEoBZxxOcYtAn9+LkBnZINOgQ4p0wTvItZJYiikOj50BKCdCISklIjk3WoLshJuDpKNeGTxRBsCnnK+RYuNU4E4JcMKuVGLtgLgn8BxEjcZoj0nqJFUJzGSYUMAoh3Zz2PBDlAF6jDQZHBkWpzeAAuz/xNeNQfco0Lqx2dvE30E1WdZmXjtIVcFgTqiQGO4xSDX2KmB6V/NuXEEhQcSFSoJLHq6cemm9pWQjTDaUKilINaM0cbIxIORuGFEOTKtGXTZDRvrdmPKAaFfiOUWJyx5pn+BcMqgKo1VavGl7S6YPsXXuH0RxJ9bEnGlxD4S9lLxYrO4B7g8s8A4nDCtemUTivDKWpGzx9pSaAocIfskZqHiuMeatrI9vq5BZrRvvem9nTdXP5gfL/vj42hv3m3COuhyx2yXMCr2DGOxBbAnkbmr99iDPxKosgCw9r0V7UoL7iloxMniFmma8Xq1BlxyDHQacpIAc9RQjab3A+WW2cBmC8PaOyQEFBdRyzASXKV0llRfEcUPKVbCxb3unrGp1hm6IKbdxCAjVLcx1YbqLAJzyj0nvyfOMm4R99RS6deVFojM7eHpZX5udvbIa1yOxtQmQuXTnw54Nylln6rk7un5w5+adys0Wi3nTzDA+dYDo8aju072urL54eQyIo0WFdsiLw14B+YQBfCiMcxhU/LHP+j6oX/mEqb36g5dcHBFDEaJ64dN+RO6kVuPF6/cRz/5S54zRZ8qEsbfOK7WOga5xRAPD2N+9+0bAzjCdrrYgRMT1g/Vg/RYf5HHy4MSZvN5sv/GtBbqsL0J7mbgIe2IKTVVLcz2F8BJ2AAwHBDhqN4CDK+sSq43Ht33UFpIDIT4clw7i07O6F8ry+pW2nV9Q9KzyarASFESk2BGyNKNrYBM6nX0xGudjzkaaCKgNID8ASVXOaxg+MWRgoKlqKd+cH0nCOwad6GetRBChgIFuyhid8iRxbLUPViuhmKQ77I1+CdyDHCqdmhgF0byeDxCS0NhlknXMnjpjqwoQBDAEo4pp7JAtWDOptnnmc1OBYLNsTGXjAvbseHJJDWKnEoIKfEK1qZH5Fy8CqhvhkEf0EdOJFYhBNMwEssluoeDbKDCtkUzIh02Dh6N6cb0AY1abAXFaaci6t+AVQ83yiPBrD+wQAxLOnPSMe1gUzczUJwjPVmh2wqfkSg3EBNdBTFPLIKEAdpIjL4wj8YEQvy4Jdp7Ea1pmmRiF86KgoKHKSaF4uwS76Zw5beu6cXWsF7PDo+7Ok0fnu2e6dtO9eVdsN2WzT0SIALqkG8he/1LbfcW7bbos0qAUrLJUZ+xpx6GPgYWeTDrCvkH3YL9l5zHl5t3vOfWj2uidCgMur5asGxzZgSVfE3YZc7Q+uCpU1dy67CFwKpeyTM5LsKK4gRa4Xcxi5HmW/cRURS6357IKoRp4c/x1xyqph5+F/ERN04qJFD39QbpDJKPY+dIcLquD+WIxP5jN6uViMZvNwc4QhOORqcTlGSlIKfb/CGSjrrAyugHHCfdDmSn27G43rd6001eCcqeumIzKecdwdf+hEAFZyEWV8k7BWDAAACAASURBVBuGfu/uEeVfR3wgMFe+fNWIz5Gk+asHBxLwdBUbrMup0USTsLUDD8E4tLxjyj1Ti6WiOa5BZRAuIjS5YCTqyiBN9KyS1lFYadxJFfo4vM6m7pFdMt8VBl6YF0ZQpEsvgIEG8BJS9Aq8RccZdEkSQTYF3OBbYb4txijkRxtja95IkhE/QL6hY5fJ5MTOEJXSMJId4AIaMu6Y8ba4S5VBGjppvGm0rMI3YQdG73bpE4utpRC/hUWHsiAkMQAsxT6Ds2VHoZtAHMBQufvHLaMcLCjwJRCLWNhUMvnU5srrujKVx6+l95XHaK6pxD8sgG8yBHJknEqmBsldDdEgQ88VTrAQXSYS+hWds9AhsYWzLLScAKI1hzkWNL2wR+tNHmRTFbOFkjCnTqlBmT6j3YogH8joj8sOv7cFnJ4thnvA8bkrIbLMVrHALGylxZm35HUXe1KeYtqXwuxWEktZ+4qFmcCuUs3FPJQtq4HJHmTZ2BhinSIPjQUBLmDGBIwiSrzfBHS83aLmtK6rar7IOo72ODwF7vBzY6s32xTWd3WmSqsITyYIjAQkbFAEzyo2e9JGZkY28yKwu4CQpkBOeKegWET4gzKWin00BQV6es599Oz80CUBOSsBuX+SGj0BtbwwzIqCDDFGqPTq4PouOu85kYIOlZCmbFDLWkI4r/TGErQ4Zd7QKYmkEfnme+QHZyZXh/W15651Z93m3k5oJ1l2OPttR8FEhHUj/G/Qnev5bNY01ayeH8ybWQMORyXGqGUJpynrY28Q7RbsOhWmZsbZ+azp13UwMzBcS+Ten4kDAKtAi8R6eF3oXChE6Nq7Re1VTsuZPzismjlGzfseoRuTNSALsi/hScDbxdsrja7sz9lFiMdNsbQh8Y4uZlKzBYgUKhrobUjPwkZrmidOokReIQt7BmzlZf9LzkGUvSEqMjtWmEnAG5GrRk37AqLiGLIZowaXk0cQAUb3wtDkMJArL6cH0pPK8A8FhlWDaWBlmClrvkAQReWL0iQ01/IIkgRKbAbYhnASgAnxqcUODF4SnFCW0S/OiZeAbvi2aBSYhHersw6yX5K1H0NoP3N1bT1KNF4J3DvLfC+SahNUrfyFsnUGY3fuEwQsrPf4VWq0zIFFifdIu0GxAb3Gpo06Fk4kTEvLqUY19nhVICW1xkY4dWDZiQrSHb6lYiZJi42SAzsxCmQiMLUD1CUKVY4LstQHQikFecQFmDovQWMiuHcyFkNd4thYMFzs0fEEolJjLE3mOOF93OgyT6VGbkLxCtTwzp4cDY9WPa9Vml/PMY432y5drNvXX9lsN2cydy870TKPmMCMS/FqqWbiGzmxLTDTKfoMnh4IC2NE3PZuhxD1IQ5jdBZKDUxUAZ2CIS+gqh8xGIKIs5BN/+RHUS9w7kNCH63ejMNKa6IxgUI0rvZwShoRwpQRuFo8YWUZ5xMsfKmJ4VBI33v6t9JqcWe5fGK5ubvpTjvBd2QHZRh4yD5uLzGduPKCTUOiIH9nF2T264REoBU479H3hVtCAH0YHUDqHXVtm3o2RmNUFcF3/rPimYx1EF2HwC68e9iPoPGtvbl2VN+6WS1mIK8cH7lFY1OIYzeGPlAOYGAckzSc2vFAkLZT4F9sI4qPesGA0ABNug+W1T1HTSSHZbc93ZkSxyve6nQp5Asu1oa08WEcGY0t5eMiVgIaiRkLiDWsRcxSJceP9S1C9YxRQGTMermHixsx0xZpIIFfvLWgwePLLP4+U6KcrPzsNoqXgvBw0dpMdDwRtPLOsTgPWPfwvAKQFGMglHQW/HJHgCEAYgIgIw6/UEfgBwSMICg4xnFYCYmeypXO1oOQL+cMqw/ejAD3eaxz7lV9aNSq1zfphaCspK4ISlymORw0kQ0tG6lyqinrkOURH0Sm9AiyrASEArkflRtNGIwZtcEGTZRYyBCSZ7OwHQvyyMCXaSQktDcBwuUDEE/wC9FmyvC4vNYJLytu80jqYhuWosWEgEsjzDZ4DzAEFXZBEbstoWWR+SqrZtm9wo1PzO320S7v8MDOgMHlvvLLeTNeH2+01969ujOEZ/LLvXgDUTS7j/GmMYXQCcr/uTMTyHaqptwxlMA+KVMyfOvaYbPeXKzP7WyeK3SfwxgrdLIgRMMWi/UreJnCABn8U/aBstXDtncKncEUEmuwKFrxchHvBy4MYntKr8zGpVx9viTCHHTelpJJkG/fb2Vn7lXX57fmpy+eBdDZJgvoArMYnkRheEvgpHycVFj0THW7C+2idd4PXT9UQz/0VayrIXqbMqi/TBbfUwt5kBGTLDRXdFL1JrvoZt7nOVY8oZ792TicdVUaRxK+iOcyqg7/4PSiqZ56wj/57nldoZWuHGYjKeWhG7pu6DfDGJhCCCtCcru8LF8JNI+EXWTBtmmYgsCYQsbfk5qEYSW4bSmC06Zk6pz23lgF2BSliQhGxPasMMI4EhD2BT1QUQySZb0ulHg0o5KPTBtzupXv2j6MI4aqkoXHaFNKLcpIRh7/hAkIQjgwKpm6HgmTZjqnDCAZbMweV16uRCmDlkfQtYQMiW0b5qgoJ5ITYjHJLCo7kdWJcNEmjJpjoJwg2THnPimfdC2VjKI82kpwqImvALJBuBZnqFa5z/qWjqtglEEuSpmWl2BlTs0md0jeDyLynuQq0kdMSE1UiXZLItuDJiEYsKbBhMfaazIIHhjOiDaINMIilLzCvpL3ecU7kiWJvHDiNHg8uGTzM2UZlqpDRzv00uiQpGTzG1wyHQsOWio5zm9J954wEGxnFRjoxoYEaH4yjHi7NfpSZwJ2xYj1m99EOe8W1cHx8taTN1zcvH5XbzZrNPAltFruQKJhZcNfpEv7ffsl2EqOnfiwxhHrd8qp64b1uj05OccsK4a+bquqch5IQ+2r2WyGHYU2VRViBUMspDcVl7x3dlyRosu5ZPvGl27SaEFmwp1gDKpzjnCAAnmjzOJocl3yBycUXTzy9qQNTjSlYLpaH77nelD9/T88obKiBPnsnTgyyVuTN5MkaRU9C9MIZN3qtD4bR4jjmWbukatS1aMdnffWe0vCZWEL8RaHlQINASoxtPAmeRtR4rxLPhQeNI7D4xs5DEO3G0PydR3GOKvtro+LmRf3UV81KgVb1SYNbR/quu77cbFo+jF5HXcTXF3PlovGti0E9sp4Z9Ly4GBzfj7s6dPGzRwa2McLtHc+BeyihfCLCR8h9trp68vmmTuLWzcX8wUgJ+9xwsYxtcHEjRlCUi2KGxpaYsNC9ixdM3lCskWiAl8kTQALWL+KSFNIVfRbsaADsAuWIiz1Yh8Yus9lLwKRokIpwqVSwCRcAuASWtgSMV9CRSHrYLAeEO6uD20Hu4F+YL0OASMPKqCdATbiTXKo1MAgwMsriiyCL9xvFIyMSA37OEZeCz4OXt3UuXE6NgnBeceilJJhVz5J2L6ieIaQqpgUgKlYPBbKlk/ZqCK9LplWRUjeZii7XXIwFSzak736FynfQ7YHOdwHv3OiXV1qy4nni5lNYXVdieoUTX7ZqBJ5wqe6EEepf+Dq6xyyxwQOxdQr7VgkKZHcMxz3BOY9gWG6+Uj7LUb62CagpojTY5khEZbmiRIbtGmYyOmx3NYydJwG/Zc64qmOlvDwq2+LvG602Hv10HTS3l4xi+wrxb9zAyvRLSxB+2hT0Mb62s0OmqPj434YU9oJa4vbO1npsPmQUVTpO8QJBFGnxaiimLLymRFpg8l66IeL1QpGoxq6ldmsdlBYVFVdNXVzxOGSNqaq6rGufQgROBkSRt/RIaW5UGDQa4GMCOV338P/ud+pfpcwr8wMJRzxLAAfx2eKf4MMJ/gNyK7DIUYx5QeUdjyr+rC5/p5lWG+fHh6EAZ45YtgtDIJC5s9UYF5VW07eGuBUwZeq03YtG+yclHeVx4rl57NFrGop4tl7LDPsPi9vPXhuKFJsHX3tmgABB/B0ly73HvP5Isbm1o3Dtg/OVg9PTw8P5ws7V/1qs9llpZrFgeq3zbUbTyzcg4uVb+Zv3H3j6OjQVIvd6Rv7Al01s6o29fK4McOqM7UaDo4OYrcZttN00dWHCzgZPHZFnIfVCxY1WPb5uqrcwXJ547iy1ty64Z99b318u6mYGA1+mtVDjJsxBqe6VRd22FBSIyr8YwzYK2UcazUNhkQ+MPUJRVwiz58oUMs4iBeBZhN8IpFHhwl7ScKQ8CMZxfFeB8tXKHrQRwA9IA9OmBsmVXD6KuVbeFTyXKUEflLXha7D1LTtwF9iR4B7ShpnAMFGbI8o46dgCe8Nno14JYZStqwtbkuWC/QD1pI9QEEHS95Iagb7eU+zqWIH48HtA1SL9pniY75QcVOS8Su4e5iAoNHGlgVrAq2QU84D8h5YMyNE3hrqnznWj0QMGmeGPTnHRBYTMr0wapeAg5IXLvWBMPil/wfjYYUEDTMTKEcBhjitRk5aiSDQTQbpVhQ/aSwTEtpiTGCvD8dpvHt29RjLlRUa0Behyb0gnvA9YRWcRtBDIErFWu6AbxBhw30DXFPs0MBWZEIHhZTOwhlSBsLCriuJKhJ7xwBdCiMnXL1YC0gJlGIsVv3SG05E0Ld1CPYyBNW2cbcdN6vu/tlJaMNus21XZ+PqDEJtrX3lQ6gI2cuNG/baHAL6+59Z6kYEMZ/cUQpeOSRFFyym90hr7cfzi3VSdjekZlbNYDtqG+TT1mEcUgL8HOZzp42HRRHUY29Vpn25ulxeA2kJAtFjewFJzNiGiM6P+eLr7Wo4b9uz7uJicwElzq7tuhQQc41RRpEGceyCBZ31WEQ6BSrDI2qzmj25WN6en728NruN+uAlIbqEL1A9l8sCJorRieRTdqiSQx67HqHaODs0ca6rata4pvVtt6jquqprx3cCrRnNDS45azQe54yKMIdv6EhWqeSM4XPOo23bg+V86Le7LmIYF8e2H7JRDfxm8K2GYbhx7Xi722yV6+HABaLqbtfaADXT/vuMfWeWx2EcN+M6pSY3drfdTUMQHmHQs1t+9RahyvJoQf6UWtTz2zcPblz315545vh4Vjt1/Zo6Og71DM8bdBAJmfYumajHqsEAVfwipHRCrVWuikCkAmRLo0jZWUE1SAKWXMskJ06DMVoYbp4tP7boIoeWrZH4aRTQv5BgilWZxKujpJAZMrGv6OVB3T9nBiXhLsbYDnHbhy6aLqhxxGeh1tL/DLs2bHn4izxoEuwmc7eUTWGs0NOed7KMYso4ApdcduUohCTqUaRCw4NpFC2zQvyOX5M+p9h4kck4kRNkoISNMBw0eZJSMjBnSKmFO74arEvIs+JOXhDvfT/Ib0cTJO2dtqPeKHtUYOW9b9gkFxQAoxBkeP5BJCGXg/N5jKPAMYH1Dj0GITvHhbN+tC4ZaP6z8clU075dkj7gNspViyRkYe8UaRdhL/Gm5KIihK0r8CIpz5NpJTlbchdJpADWCnHAnCIyWBhgM4Uo22lAIGeRQ6FytieiFvZTIQbQ1N6RV5IwHISlHzMMETebbnO6e/jm6mJ93u7u79anu3YYh4FqSi74uMegK78CJRFXASjBAOqi5EMbsCebgnso6Du9fpBWAs7GENS2S2be+Hltm6pam3VTz/quz1nN54d3bj+5nM/3CrA9cvJH1+UC1NI8VEozm2JVWbtoqlnOrW/utfdPL9YPT7enJ6uLs/bBw9OL7UW72XTdMIYROiBJAy6UDS57TG/fM+pIM4Wg+uCZI1P7k8+eD7tx7ot2khapk3E/L3nm5RdEes9aFS0l9vhUG6ke+SEyN7TGzrybNbaqm4NDaOTDiJVDXtBVoQpVz1Q7WHiSOscsdss4TpCXLnvti9MHF6ePnLS2f8Spo99e3N1e4DPPLz94dnau1JW/K9Xt1nd36+lv+z9cOdL4xt27XYf15urhjp84OKgwZrp18+jJpw6ffddyeft4Np9XJi9qvVgq62OIfQo7E8ax3XUd5is5mjBCcRaCSAGKDGTPP5U6JPMnJs9czpQJQxTFYJHP7al47EKnhntPrhSG+wTkSeI4J3hS7OhjXHIf2LGDwwFcgnwuYf4Uq3UkZio4o+I2LNiaKCpoJWxrq6HWM6qymKvT8IKrBEZ5ZdDBoU3MikDVpPfa96J73jb0lAVeFBJeGZ3ukXdCzwL3QCg4hVZf0oqE28G3wdoIeBb1Z0AILEfmRgfvU4U3A15dGX7LFgWaFAPExgej51attDuaXDwnZR8fTAqf9178l+Nr+SdEHfKMoyrzVRWLT1SWaGykHFN42lNeBSGv0i3ieZXhg1SNieM+2RzyKSTbW0TvouyfbHCmuT9HJNQMofcX/gcHq6TDwLeEonc4LhcRG63zBRYlVsM7TE59IUIamLOUczGFrbxdwBZ3NSQheLcxq9UmvPnw4uSNl3bbU+RVDX0P3AxYUGEE8yYmgFXG8UJbYi2e7p59DRLrGMShYoMvsbDyfroQx7aLKY29g8UrSFjG+7rrWq3yc8+9t/ZeqjyBtAIMXg0d27Ou9+mt/J1AJQNYECJLinjlZzXSKHHqGu+ee/Kp1147vf/m6vT84uT0zfPzs+1207VbaBzDSK0TVxNMvRlPIlvGPfmG94BfVteeO+o34eSzZ3TAvUwq239SuTELWprBYpLOi46+8uxE7vhDYES7jUM/GG02ZtNUfjGfzRftSPElFxtS3a+MYScmp2BjlukrZHzb2pjawnfpnSJDX8HDfeTDT4dz5bw/vF3fvHF0/XA2X3rn1WLm5i5WDZqSkBskL7Sqy7VKoR0NWPID11x5rkWHUpwvuOgThSgyAlp/SckVAsDkNMS/UrrMusdMIG5GhSon0ISlYxq8bQSXJB5sMshUxcaArKxH0tp5UxB7QYMpXVvMJgT4qTPkWAJ4RF2G579yduZUY1XD33HrI34A+AiKIXvpIlmlCI0EbDglyA+lOYpI5HEbTcAZnXowAKThoRRoGceWz5gwWyIbUqMnigjM5oFUlGxNHLDNRfRfHrIBAoiE3+lsssah2wJ7LwEuIr/Fp9Rbc12r02yfAaNSzhG7VOpvcP2gbaErXKHWiS43FUf7gHOP1h05wcyJkhcDgN4l7dA+E8yj5JCYKRp3tpmF51vOETeWElAnSxUVLHIWisgQ6nKWX1Kd2FWVPChxQ8HlKng930jZCItIEeRgebJJm5R+XGBfYvBSD0sbjUdX9oDc47yjx0aWDcjVvDfUWHfD0LUto62QKUgj0/3P4/riHEGqaaYw9X30Opy6m+JEVZy59iNEhpwU2FDFsGv7GNxYVbXHObV6NwxdGMdv2GzYOmTL3byk+41pJG+z6O+LjYkgxEXaJGQWRl+NoYdbXRq7obk+L7nnfN0p5fe995mP/fpvrB6edJsH/WY17PrAzNmYCuo8zTvxXIksXcZI3AmYxZ354s5i9fp6d9KWhVKUouIAKVoeSS+cpOJatsWTGaQMLMrSLh7aIqiKeQRQPmy2mAcEmIPANZXSc7z0q1dX/kznRfbPJlYV9A/W1iQU2hHNh/ozcrjv+c73jb0FH8lZ78wMAlbbNOipF7OBoe+6H/oxA2nqXXKupVOGsH9wB4IbhWoiyTfM9hRTM7F+Krt/ahaE6TW5D1AxQPKYeMRwoZv68H3gOvWmNJZjSnNhIUjjKRdXLKMuI+kKhALSFjwzILAQd1o01tCljjTDlXS+jM5PJeVtnlndkDTdeOOA6II1SAW5jOBNIk1QCAZF1UGOHJt2+Tz0flMrJDwJUO73zENpj0kQ4bZ3ct0re+acwPyZgk6vTuDFv6306CWIExAjjUzJvhG6r434HaZKpYGqtBqyuuHiH/Sekur4sc/v/s9ff4iZ+b4GlECiPaOjTGilvtJDQRyqoeqO6DvlIQF2kXSfzAgkXKbB/ELB1S9f/NQyly3Ro7eg9LWXrf1EoJe/TQPS8o+T5fblybkMKZlUH6K3kjGcWNxiKyRsL36QZBx9stp9/NNfqJo55D4e0SRXX9UHPvCBH/7hH35rxtge5YAdPg4PjwyMQSyYdSxy8LJPgQ38tFBfbh/lRUtXLaV5svwqG6iyvxGbDvbggkjjF9mJ0L4i4TClOJaVrofGPH7iky98+0c+3DRNOS9UY6zXG6TWei9BfeUNyGMzCUmkjwlgWUepdH3fuwszPz6mDr7U74NF7Zp6szrbrVd9v8VKBAbUOMF8DPQTM+49RiPcRmcO33VgnDn77NnYgSvNXkAeZom/KKIDYcBJ1baUnhVuuECk9EKY/L+5aPEtgHmPxOoBGY5dz/VEHMKKNftbQ83Io0avJ3EHzthovdKVWEs+eX1573T7GBX68kZ758d+RvolbqYr/33r7ebe8/yzGebrTUwO1pE6OxMIPI6VH53NQxy8jdnUySNdVCOGcISmRTBJQYpSdhK4IQ0JGZ7FbgEniz0OrzPF0WxqeN7pF4dmRrR1hCav1iYWW1xHWlPzthWbrsJlE3kvSW9TmJmKOegiQSwiCOa8MclZbBdIUGWPKCwMRiLD6gnQc+3AggHsSxf0DG/VCIYdBYuQwMimlS9Q9uxihEhHPGlR5IWwcZs4avsGv5g/CQuYmlPKxiZ/YFIfsCXHrhw4DTy7BVRhWppwFmtvbKV97SFGROyKpJJQtOdhxCW25Frl2kLpd9ukXXajVpVKP/4bD3/l09s/2X023Uv7lUNK+Z8h3ujbPzZt/8aDR/HFK8cLL7zwgz/4g7du3frVX/3Vz3zmM4/9KwDhlPoRzexq054/vDh5eL49vz+0G65iEgRQhMzFKJ8l8+FF/O3Pq1iUwfuyIeZ8l/m/5ZxOLtUJms3i7TfK/SMo+yTbwF7d2pM3769W22fu3LnSqeTVeoUxGCKgROGg3/Oe9/zFv/jtQhiS+y4kNYDgHkZ24mM/bHfbB/ffbL7pm2dVJU8N0IKUzs9P19t11+3GoRvHIYwAC3FniqameKAUhX5g69pcb5ZPHfSn/dmL5zIwpL9TIdSSeFVcvCZfRzzdThw1s5hLC9uLUwpSbOWnTOxysSbGC9zvBzggKJspaaWmglAOkVpCb2yzcZWrm1i5YOc5WG/Nf/MDH2m7Hee6DMNNoe371abbdP0Qego/sJUXBx7ZgLGK6KoiuG0c5YgoGWNIfQe0fBgDzhdcupjJieuhfIXr4BH/EutKf/HV4p20P9zhwQJ1yTns9RkHBTRTyBG6yjnA/hGkTJPhjGQDuShVreZLPQSrtinu8kAJg7LRhRgdSMPQ9inG0sjdth+Uc4MvEgFBWUlqBposgyTSrApsVzz4hXtUpkdErsv2UHiulHJAXI7LMvmLln6Nm6vJ46zshOlVitWI3QMBO1gnTwNiMUBldCqFf6B0YCBorUEgptDGeFMy3Ixm9dMPxOvj1L4wDNkWFBxURJAifZOmGQBYNnS13kdOsL1WHoMzDu4wyAcgqEPMA25BnZP3djlzzcLpmVWN1jOVGwMTUswESdeSJFWCHnXEFMXp/4+9NwHW8zrPw875zvmWf7k7cLEDBAiQICmRkihKohRJtuTG8qLUVTNxp2ky9YwzaTvutE08k2mn4zZt02bapG6b1K5dWxM7dlJblu3YWiJrsSVLFPedxL4DF7j7v33r2TrPe853AYKkREoUBdE+gyEvLu7yL9/3nvc877O4qchuWL6DTJ5f++JCpjKqXjoYecWV9ecSMxmVN19hP6DLn+xXV1d/4Rd+YXPz5tn6d7xWa7aKH/aSV+lm/4XvdA0Yu3rlM9/2y6SUv/rrv9rr9QKvk7FTp88+9viTRiOsljTlFtbTSv1x8rndi9t9bAdqfV48/fA3gWkQhhP6ndbPLODN/i9e85WIqf3TMhHrp9aaEez9gqNGS2vEkI2xLz3PDWnW2xhanD5BVeL+57a3tN+XvLoVSPfWiRnj35K2qDIv8slkeXnt+Isnur1+mmbQfcegi8Nx/YYCjfAhKK9wYpiZX7z73gfghBRlDtVPxDLrzwiw/Anms64ua57FLJ3wWsPe1/vr+gwPZLVipu49mYmAJKhAk32pakwteVkbzOpr5FoQHkQpzxK+k3HCk8SmiemkbrWj65verI6QILt7Px7yaQPlykA9DWYEXg2JnCOQqHwX7ANWrBSq08HXVw2zlVMwztCRNLpRlovWS8ob8waVJ+FlgNKQXda2CL4vpX7P03fDy9e+0ZQvDAt473wEvVngaXg2kmf+UzH2GnUq9V7DEi4CUqN5sWkEwwriwlGcVYBJwP723gX+gEWsOz/tFdBew0aTyqyiRAfApjiK0eHZ+9IEjRNtpgDdga2TA1igxgfvhaARAToBTgh2PW9NS7+RTm34gfBuhaQJTTTIipphc9CIRIkZn4ILRDeZTqMuF0kkOoInnCdbB6T2hqEinXI2JmB/UZgVFe3AwK49b4XpVfjqyZG3qYXF/rGn5WgzYCzx1M/9/b+XTi79+q//yybuZ3CZlcON9bg7k0XNYFzOLWwvRxs/8dM/88QXP7Xng3/r4OjPfvcrz4Mg/1ZZWusbfXDeGktrfeny5dn5OQzGkRLHf+WXf/ncmbNv5O/grL+zP7Vrqlgr1pfGIEm366ZTft2wrx5D+uVL/+llpkGvbQ0ZW15eZa9zcc7/+3/8zzqxNBCBpNZW3t3AH2ZxZoZRlFe9SE3+RQ5Tyla2wI0AQgxKCLYBNEbw+PF3PWmHncGQJ4SV+tLkWcaQZ6HyOsENbnJ+U32GoIa8HSg8ipo7WGcSnApyHX6TQT4uwTVeygGDdO5cEjEV2Rr6bkSqWKdsBFOzFHakkjfIOiWaKrGFWhW9r1i+Sw5yY/qtngtz3Se2xZ/BFA4qFZLHhUMfzheoQMTxD9ILojGAbEDGZn5XoPYWVRv25y0Zk2iFrQuhN9hvoyX9hkw6F4K8HDib3u3aEWWSCn2LHGJv8LSTFlqlkgxKno/Z9TUwjE4918WLKdqjVysqrJpdBgAAIABJREFU8xJfer0CbAPWBuE1dBxBwxBRnmAqIUnNOnHaSUUmBQaaZLIRg1bR2lD76w5/0oitkY/8DmmfqOWN1/35n/vvdn36k9We23hTzzzziFpYnH7yofF97xGT0dSxp/2FK5NUN5WLp//hP/ofZDalhpsnHv3yXe//kLHioYeefu+9+2K1udp7+0x++iTn9//ITx84eOQf/cqn2Vt92SQtDhwR5SS7fP7GedK22+77Oz91///2f3wyynqCGRnLqkaqbFE14K3L2DjWTWVjmKlLkXYl02Vj+910PJ58h+jmd7QmG1clq4S/Qzkvi9cVUM37U1N1MVaekHLzP7LOXGd677RVdu34mip+AE5UzrmmqTtZhqQ7slZ77sLymcvLQSyAqgEACMNfZRB87jWNLYCK8ZTPBvG2Qt4r7DoCQ+QxOq/TN7eiBzpJQ6oQIf1OgOonVtflHW97yWPDW0QW8N48kPRpAA7I8xe1R8ZxZlhXuMLaIjEQSaZVZ7YfuX7JtNINL2Kw1Muy4TUTsU1r09Wm083I7Irs/FuukDcw87DFFoeqjSYkQoJ39g92kVTsvN9KCCXxmw8Bt4ToRd7+LJBgyQ3Z42C+pQ38y+B5SPwEspknaKw1ivVghPe9i2IksfNYkoCELB5gJkVIsKdwQ69C0AeNqr2B/UuejqdVke/dligOK/AE/EnNYzNhFoh33+fOwraFGM8B8YCo3ZBwLeLKCQdgvCvEVCZ7vTTr9zq9mMfcxRFwZ1jz+6vCE0vCeS7FkBDnghkYJPGh8ZQWrF2f+rUrf+s/n3rm0e1f/H3GWHHwzpWP/XX/iHf+/m/MPPOws+rhr37lY5/4G/ftf1iNlh49aeqLS0f37+LVYF3Nbd82s3b18t4924vJ8NLSCt/PHvn6l48eOcTeiqvevis/cs/sI3+2/sM/OfvIn5n+lO10RVUM3vcRm2YLX/2c/7If/tjHpnbvePDeez7+Mz+zOdK98ck/euTyT/3UT65cOnvtxLO7jx66Ui4+cMeisOra8W8+vJz9ux++97lzm4d3dq4897Vf+t2vvGlP51DzR9Pj2Dv7W8cS8xLS7tbS3b5LUjEZgv/kF5ef+Nn/8p4F/vQ3v/T05cKOri2PzHwvYkmvrNTi7ukq1R/5yAce+fzXzl8YHtp/6NK5s7M7DyRqcH5pjd3CK5EJjxOWchvFjeJ//NCxjdF3M6f5Fusmm+6tTQ7n3aoyNxdomrIiJZV6XKGpNSREOAiu4QbjujzrRUwhk1wm07anmsLWY8byxrhOJZLMFKVtqpI1qikbXVa614uzWKSpTFIKDQO7METckGw3kKDBaFRkZkTz3ta+owVxPZLgmR0h3pumLZYokN4UbYuKgKrnxQ+ef+pP/ChLZMRMvDiaFfjIbW9E51t4QldiyaV0goQqxHgjV3pkDGJz83E4YerjZWiBKNca1wZpd2AHBl1jiALbikAI4IHnFZKhKV598jr1XAzEh/tfgtmpcU5zQZMY5lgsZBaJTjeOe1nc78SdWKYRTg6S4mQw7qk81SG05tylYEmS61Ak9kpzpbmubsquXd7/K/+LHA389ZItXbBJ6v+pe/Y4PVYzyfMv/NY/f/z4pSuf/O0xsKz6qUcqMXfbvBw/fXzpnfe/c/UP/nAi5m9fTE9/7fdPmsmjT+Mb33or3lyb3HHv5nt+qH/y+Xg8MP2p4Tsf1FOzqGIz851zJ7oXz/DOzh9+79Gli6s/+pMfc8MLD59Msxc/c+iD/5lTplo5/76//rPP/v4/lYd+/OuPPbs3yw/cduSDB7ezJNm1GL3w9EPvPHqEsTevQH/q+J29bp/yDmLGo0G9BstYxq59/G8ufu53hvd/QJTF9HOPbT740XT1ajO/mK4uTb3wJC6J3vYfurP3X/38P1y854d/7j/8IdFb+OTv/Nkn3t2Z7HvXuctn+j3WH43vue09p+PH7/nbP/vRe3edffTLe9/1vn/9q//3LV6gOWIOEh7HLopRBl/XoOa7+83f+p+lMzUXPZ80AT80gr6JgdJxtvEUCpFkTMyAbiAiLdksE9YmjRvYqBay4hEvFTO1HI2aWtXg6WrV1BVEl50k63XSrONMDHK1k3DjCJACBm1EpiF1MNFuPHOWKKw0ZIA6iDSBwSiJjICJEKJodNvGjgVnND9W87wZ30F6VlvoXkFsxoGFjIVIbENzyIRSrYDZA0hyiXTIWEBgNVMGkAH0GPC9Rr0mnYFPH6exRiAs+YwRcLo9eANzFmJne1dVgsU9aOLrO5GUadNEfhIenyF+HWm3/QEAuVOkR1aRRThh5Ax6dyHRSMs4EUkiOgnsNhJMovGYYAcCV5DrajXOUKABfECys0eybxSSQmHDikfXW6eFr35uqxP0y5nmuce/6T8+feb89X+4tnmO/v/4w9+g/w/Wr2z92xs2T7ulVqTVvt/4xfHbHph67lH8tWma7bv9P4nJqHMZr0fWEZ/8J//jkyeW3vv+D4hq+eymkBtj98U/Zu84fHVpcNvGhc9+5anpC0xV+Wmh+s8eU52dhxeTZN8DB3ZN/b//4lNv5tPZ3NjI84IcunGrgGRAK7ty/uLf/a+jqtz7m/8nkOBef7Jwn+O83rGbK9U/+ZwrhxerqZ/5j/6DEZ/lPAKAmg6HO/dE9spUtm1y8viRQzsnJZgE3Nly4/JzZ5a2337t8effUID7e7FEJD2XQnRIuvkKy/Go3H8oUipdunBDWRWf+I//7gtf+M3pt/94b/nRHe/4kS/+3m9WLK6KHPJxZpiIVVUYFnW7HeSWOa0cspDyou50O3VZeOr+qy3JJqWeyom0gaAOH3QfUzKDsTWZlUDgLQQ0Y0xmTHY7cjwXMcXmGYtTtxy5nJk6s2KFs2HBITp1ddOo2pSp7WqL8LRup8/TYDIqgXt46gPxN8hIYss6hl6JlgrqDTJ9bw86TAQ41ouyiNEBYNqjutSXB85HsEvzxTxk4wUplx/bebTIuZgqF5IHIp5IUKFhliQdIA6iemBICHsIrqkHp4llCO32DkMe/yZTZ7IHhYuOb9VJG+5V4aGhxWgy2KkSzO2jBUlEF4BsnxyC1lnDehPBYpio06nBAFuJOU/iBJFrMcyrECmRYiDrMPQmZYaJgHB4GjHBHQnn2iU+96HH3XYRjdEmXz++7XzXpLv9lgYKk05/ppdubmwgcilOGhWmdtNzC00x4dyVN0RcbK3ti4trKytcpnNT2fomxLjfZjl29k/mvsW/c+emqTrjIa0v3/5P/sFNX1BuXHmcaHvf/NqXr392/Yn/7/gTs9v3nDv13HJpl59/4obvePYJxuZ2PG1H14blVubGm7GGw6GMyy0qHjkgY80++Y105Wq6cgVCYcZMf2Z033v9Py382WfxP1P883/8Px0+vL+sN04s7zFqY2Vj8w9++2raNIPcWlU98lCkky/NyPqR3/jFFw8dWL1y4dkTx99MeP07W5RFH0uWNuTF6D/pOF/5sb+x/QufXv/Ix/svPJFsrhcH7+yePT5430dMr7/ty3+EL+LdB9//4O3dasc7f/T8l5fLfu8DH//b9+7v/ItP/s7P/v2/t3p1bff2/uD8M585zv7OT703kdFwc/l3P//Yv/+Jv3by6Sff8a67Btcu/NP/69eqVx+JyuHAdNyY9VBMRJaiiaOIE0woEYNHqRegacUuzmJTNHGvlomV43kYMs8mNuH8qtNN6upM2o0xG4xZUbOyMpVyZqLrpsp6faSwGGfTNE5jjPNoWojmkKRn3vGx5RR4A4otgiSx7QUZmQVnshDY4bnGxOEHfALpH4mGiXoSeOwGQhIHy31yKaWhoM+I0xElNAFBoPQcuOpK8rFjDPawqLiYvFLECppoYvkRkg7YDpEdXleMlEkK/SDbBe8V4gskMepafzJPVsUj9DQ4ep6tms6LFJA6TQQeVGennVbMKUIoNPwdBY8yOC0xmcYgWUcuTjGOjaCpoTBAInb6CMHwB64F3j9ZMY697U6pZ3b15amRrsI9OTi2ffnJ8la+hW5/23um98zLwfJ4Us5s233i2afm9uxdu3imd/Dw+qDZ368uXq0O7V88++Jzs/uOzqVGyymXr1Qr29XamuOsnp0+9+zzr/YEb2CyvL41va/edjcMJ1/bwsHi0L2v+k8L7I1fVx/rlxvXnTNvXGVZSk1wJvlY0Sw9rM7l693unn/1S3v+1S+Fv0Qs6SfpdJpOyw2x1rjm2jPPlxslsqluWGQzESx/jr/4Av3/dU0gvz8rgrmdaARSVq+LWpzLrpy/8J/8N50Lp7Orl2zWLQ8czgkkVnPbsysX+sefYUlmV481ex44940/yaZmktn5Hbtv+8an/tlGHXXU6vE1nl966F3vuT+7tHTiyYd27duddw5++CMfSWV8+PYDa+efm97/zm4q0GG/ypKTpmQFshgMfBusSLzJPOGXHh/wEgjS8CRRH7UMg0WEEEyDSignphFlnZWjfoPpNPgeE4SxczC0VdQo8LwznLvxf5eQBUIqUFbC2O46JX+L20BgAOnkySbHsyZAqiB2AwQZQbQBRiHZ8wMkIfpJ68iMuuxncV5/FByCMackIwkaw8GB3HOnqVZKUN+2DCDwjXg14HYbzEFagwgaAhKFsDUN8cNc0ka3cwAfMIppp8d18Cmy1oBjMwnx8DgoUKAVowZBuaLNixJckWIFig6DN1ZkZQIRjSdrAzeTnOh6EDPiO2UKJjn8eYlSTo8wdsjggMjQ2Q5j/XE5f3h+bvbqzoPjUw9nrNxflOrAnvlTL75Y0C+65ZZVK6tr991z77lTL5gmV+ns4YN7xWg1Ymx9dXl7OrV978HFOXlJisWFmUhG3WJcT2+znM/vOczWj3t/2+tPTGRHj96+euUiXsf+jrv3TT/8zUdr5+796Hh2J3vmy9OTTXDQRSoa0/jRtEzZu35sLGPz6B9NJ5nbf0958fnOtt4D3Qv56XOXLXNp2nGqqm3USQCwjUaTqal+o/TCwrbN1asy61Zl3eulg83h9+v1TTr2/h8fGxs/88UpVcFmqNW7XjcL2Fq73p33dxq46MZCdqRME1N3dZkaZZtJY81IdiaZ09MHvlePlkciTSQcoG74ZCSSODK1emNY4+e+NEvxc2FhPg/WYcxkiuxj/zAYm37mkc6lc/HmGtUPW+09GB6h1unSRXxki89+9gsPP/FC2p2/68CUSddW1gYfev/7Fy5/5rP/9quPPn/p4z/xI7/1m799pZh6uFP1Tl9Q8oW6Me+4+9DaRHzsfUf+8NO/tfnq1ZkwaKRTGKVqq9NINz4YVTuUXm6MpPYylEUK45MyiyL4Stqoa5Ek7Sq+a9SIuFhKykFSlwh7I5do7z5KbiWwc6CcztTqjutmZDYHg0n42wbyGRgTZBZKxlRbSot2uOa3aepmSeBDtv1AqNFLwkOewWWSsOpg0Q/MmvYV8o4hD0FyRPMdu7fl9bqZYEZDIDuKbEuzDvw+SqJyiRckCRYRjEF4M7pb3xd7JZgXPlHzHCLyfC9PVmrB6I3gfoI7yA0SChnv/URTUo0Ti+AaH4HbA6Y8uJLkFEqjDGAsXuoKOEPgHsKlFdzpJLn125oqPYEdjqeUJEnFHq9TsVaU4+j2d8+feHL74fvPrL8wl3TMWIkDi9mxpa10zFtoXT5/en6m94enT3eSKG+cYOaJx58ara9tE71YT85czBu7ms/1h6U+dvxEV9gCshruouyuo4fOL0/mF8iOtl3Z9oNpNb7t9gNOGTa1Z7h+qjKsO2N6c+LypUOH/oq6egph6HESP3ruUc74/NH5bDqr+Xwx3NxzR7H/nvLko713/fiwuDCXLw9kd/7D77lzcwS9WJ6buNs/sGfbC08+tv/A3o0ymu/Kc52p2UzM79w2GNebpx87u/b9YVXvOlzXdgef2n3kR3k5ZpJLUxpTecdcN9udhcqXDBrQU6tosoSuwyijS90UjcqVrsa69kGZnLGp7+mjPfy2d9lybXl1sn0mzU3a48Wltfyuex9QV584e/mVrOBetrbYA69xQX6HgByc7hVLrv8cxpKNlfA1dXnkf/4vIBLcWjifjL/+2GMAEyfF4/7AwNi/vvg8Y2zpMQBiv/97/9J/cv2GX/fCs1/vTC8ee1xfvLbB4xsc0snJ98YlHTjhBLYit6Z2NlK6MZiCQNBBmXomwWSPAkAgtbYSLXSnyxptlbPdGbej0DONTpP6XKfWgwn8pRHbSglKGigCFPulNZEDpuE9ipJUxN6gNQTkUJJIqMsEOgdmsrdmJ4N670bBnZDwIiCHYu9oBoo0VDCBieznciGFlkSZXndCFjtUfRF4ChMQT08OCQJtNhVaWsopxaOL8JY5GRkdAS7A/yOoSL0JT7DIxFCV8r+vM0uw22DDIQxdcOvFMt48gygXhJUQRNPCHKSdQu1n8KM2zMJ2j0FYQ9bSDIbIkJPjmSPhpSG6TUxWft4Gmvj1mIGC/gE8mqw7MsZqbGHBw4BZNr6Wrx8rjtzTnH6sk69dICtdLmB/desst/euavuB5tjX+x+5e/Xovquf/kb/ylqgoOQFsIWlSxfwF8Lt19c3uZBNMb7hOTTPPg0298ZodOPPrZZP5XceWT12qrttT7rxoku6nZiXI5Fvml07jz33lanhCm67rJO95799T6Ob0fnRmprc9yODeEGf+NrM4m317iNVNRbj8ShNs27Grq5u7ti+e23l4mRSFhubvF5bWtnoLuxRk5Vk5rZiMtw2t2djeWVpI8++fx48184me45es/n6i1+ecVzOLs52FjrxXKIL1QwbVcCFY/89xfyu+sWvdudnDudrY5UPN3K9fX5KsL6pNhZm5kbjeqrDJw385nnWL4frZfM9gc6XLl++9+7bDxyZHm2sRxHLaxvNuMnGyvXC+S0WF3e9/V5XDNZHRZlPDFIFWGcGwSh79+w88eILjcGlteNgc+KbvcmArihH0X8o0uDbWtF5tdreWbAHH3SmqWqSPr7iEnEawbvp2/JAcFnuP/KST61ffFmqNyBRwltJzK6YTmE46DhyIMk7g0lD7G2i7tKxmuKNIJ5B4mKS9npq+3TVbOs1m3P1aDDVSbupgUUs+azjDtIaehnFdG0VhJRW1EjnEcQpo2iokCLoo0B8VhIGwYgDJQ0K6oyWVMchPGcWdtnBgzBCPCLJ+amh9tYXAZoJKj6Kq6NsVgzTPMkjZMQRx1oiZICiidHNkogbGAb1YTDRtHGElwbkcPq1VLshWyTJX4hi8w6GZIrrvZV8EloAmNtMlcBgb41zW4U3PJhCfgonSwEoaWGfHsgmLcQM3zgLOrkPr0PX49t+RNFSOBcHagOrbhCiSb2UWVP5yMEQW4Bfe/KR3slHuvT7X5kD+/1dceYOvL069Wj3rg/kd01FH3q7+tNn+bXN1x2z9wr4stOnjx/DoOzijdQC/swXfVd43Zgpkcj806Uuc/Pwp/teIPXE52f6c3qyIa15yn/hytWL8/OXNjaCrcfqEv777JOPMMaOnTzNGFu+epl9v1edi4d+b4auOBzKJnZSrJZRKrrbOkk/7ooe53puX7R8Jjtw93J9Ndt5YE419UxhJ+tXD+xeGOzYf2jXzLXLF3bs3bO2MpnUzZ0Hd1w+c+yp43TMf6NXlmXFaHjx4tJUYselMtZNKnP7wX1LKzcL7V6+eNLr8/LJa8U7Ds7zhfv1ygljTDK1ECV9Xq5pC2LDoXc1S1cOHv1Re/m4N5Zi5wYntrOdzlgteIOkQiEzfv+PjXsz6sl/22+K6I735Usn05Xl/XuLw8dOXLCmKWq+b8+25dXNqdRNbCexRdydycej+fltK0vnZnfuG28OduycP3f8+Lh+rbAM/KB3vuQz2EAMTr9AKo2NtVLkDesDjpymyEeX1JJHCRl/EoPCm/sYX0wFixLJ4zSL+t04yTKh5vqolCNr4CJunWKCgNRGK6YaGcVCgdYGyDviKpJxyCUMkIaNwIcOZDmEVBJOQM5FaC5BkyNL2OAXC0ibLDl8hKu3gaYCuJVvFOwl6TkFv11PrQZ2A94xOHZws/CZJj68LkSlel9k4wxlFZKtpjfJpPQ1CC1bsQypTBwJQYLxSLDe84Rk2ju8AAbVNIJjrrfuwpnAi22slQCCyL2GsA5yPA9mTEhtERKcjQQZPYTt4P3wznvBfReINqcCrT3JmzGTWlN57XpgM97oXX6LLqNw+Lj7g5OzT3XZ0TfKrOJbr2/9agQ3Fav5aPXmydtWdb6l1w35Hd4mzBRmdGHMI9boOorZ/tvHtx0tj/156vINXYhG23HNdi3Mr6+urteDzGwWjZCra6trk9mZ7sUrVy9dCWf/N3xtXLu4ce3mTz779GtiUrt6stnER/dvMzLOL52cWtiWXzs/KpeZGE1N97oxzxWvJu62IxdPPdZZOw44KxLR9u62iEfL1cqgXM/5+vzdCwuyb7L58yeKvUdXphb08Yf67/iro5VPRarOR6Pioz/6Q48+fryYNO99z9se+cbDb7//vo2Vq1pkqWQ7du6xQqbF6u773rW2dOHgrulnz3/n3FMJkyFM62o4jrrIatwZ+MDbJdP0lmJH4NZMkUrke0zycriraIuYwsYqzfPabeasKhFW102cTTVVJ7Ar4OOBk6i1TaNFFEdRg3ZQCZHBipUycoBXeH2Id8jwL7dPVwdiTT2qp9VhqyBcOlh6Ba9MH5PtTYAJ6oU8nVyQwHyj5BE8btAoaKgYkyYG5Y4mh16w4gkVnroezLnoNwtUYxeDriEMddfIKqbYYbJL9dFX3k6EolhIM0hsaP9Erjt9EDh93aUc1h+kTSQbFLjykycwuYwATaEmnWPnIY63SxJyLoHJv0SegjfmiiKmNB6z15ZTIfYHiszZgfNJsngvb7JDmNu+e3Guc+n8heJ7c1z9zpY1/KHfm6UASPa/v8B+8dM+1/XbN1Df++ViTDOYMixNYCUx23eDyXV5WBI7rXy2gUtjJhNnK17eMI+6FVaryKUexzBVwIHv4U/FnMfUWlzvi7cK5XM3WFxcuvTGPIx/8NP5r31hdlx85y9OlkAm0WhET7Wfs6ePPXf9K87gEPPSxR/9NzMtSB2u+YXe9tn57VPJjhHbXCnPfeH5z0+KSf/D49379ROfm953T3nkgbwYCtYMV4YLC4tzX/vyn3bm9+/f2Xn0m08Ox/mLJ05LNU6mFpqi4Evnr1w8v+vg4WtPP143dWS+q7kOJWtRSIhSOXcxONDotsioypD7micdwz0UqRl0pVntnEK+lXQNcw2vTTQuokFeX92MzGYNszjBskw6bpKY14rclyBp1mR31FDSnTMqtdKYCAamkUTZxITPA8+tg0eInsCIz1syehFfcFgkNIPsm8jZnjidfl/xInlQztv8duAc9AecPYmsVcDqcDehqEgpKFMexA+/RSDf1sI6EoZQPqc0QgOPn0mzQfwWz4kOQkJvnOe5L/CVa21DvIliy+3wUQ5tRHkQFvoEWPp78EEO+4RXP/pcVNIawjZSgNEBABstPZ0xvD6STjvex6MN1MaelHJXo7+Gwyo9bjyqw+8udt9Rn3i4t7FU3XV4kUeHKmVmZhayqMpNp2tHjz4DHOD7utoX42VmvtA6zszetTt74vjq/fffoceD3sL8xsXLxy+/Br7zd7ciyf7qe+pz5+NJat6+za6uyZlp+9AJqSyzinVmzIeOmLqMvvR83N2mf/ygfW45Wkz5n5+6LuC8FRZZAGP+4eMC2pc3XI3f4+VETAEs5M7rT8RtJvsrfDH39453JqeGSMKILnzxj707z6voi091X+djuPmZknYuTuJUyBS56ZRm8dxXwiz05MO97oytJhEzxQvPPR++ZTBeOgtLfIDmF/w2sLz1A8cvhC/7LheaAR/0hWGSKjUiSTXn0A4jB5JUxJ6jQOdnqn4w6Y+sFbDaU6xW8aTkVdHkY7sxbFiF3q4LOQXvpqgyXRsZSlCulVUWBB+nUCOhkQOcSrGvnipBVuqeb0dNcjBUagMvIJlDc0wZiBRYSi0zHhkgXzLJa92IAvmjdR0iE1XjeIyfAad8geeiwcgO5p8+zDt4hhBHwwMdEOgwixvMUkGmyteGg1DOS8Ap/OZAGwkZorRWtq2U3I8cQ3SEx2QgDCfbfXpWkLb4PA3cPhR2HgB4P6/EGJTyYLEVyRgaemxToNmAkEIGrsQZJ89+ctTHq5I4U+MZ0uiWrnYh3c7b6298avbBTwy//jt1XZdD0zkyUze9XsLjmf7i8PItLwh0ZmZ2SvbKKZdP33fv4MTz+w/seBMKNHOs1mwqc7sX7Z8+Gf97H2rOnYuP3K6OzrnHzonD+/SFs+meg00CMj3XEVNF1N2mOS73W22RP3swFHvJgg2u0ZGUWwKWTm/K1Pkb4lO4sFfd/cFJU0aPf2aGMXbvXWXaiDOXk/ObEIuQgowpy7qpa+ggctft1X279fnl+MylZL12OxbVIhfPXhVUndg3j2W1egNOJ6j88HjAaI1H6cvwLo72+aZvsfpNgN4kRMbUDDqSklijfOArDtzAE3xuK2ZMVDmIqxBMWcFeclwqwxWOGKYca8TfNLguncP5zgcTcsrcQzUTToGUAINvq5XVEjpCDdsvzL7IwG/r2XuzJx860fpboFyh8BAlgtpMv/kCVAH+gnIcuAy+V/URsx4P9qp1EnJ4hNrn1FHL2c7u6Kn7HjdwoWnaSJBPSNIg6IfqrgcLiLXhMZmwnfitxhvm05vbRmt4uMbH6bWhXzAapV0JpjU4tvgv99lPfgMImkr8wRGA5oJkgutntlupdshPh20sszGcBgWeKLYVTBdI+hhsqhAgzdcuJ3/lpwenH+sylj/19JndB48cO312eoe9cuGcwgt8q1uGlnk5yut9i1Niam58+VJvcXHzytU351cfOxe/54g6P+Z37zejIQ40OMpxtrkun2fs6HYtDJ9fMFUVPbczZxaEAAAgAElEQVRiD+/0RJ1ba/npTTu19uMLt+dovbC3Oflwb/fB98+qK3N33nvszx+e3TG/McyP3nHH8Reemdux88rp46NvoXt7DWvX7fWpR3r77ik70/g5Uz3TlHLf/lqmcue82bcTr97jS2J/x0U2GjD7/KlsX5+dH/M929V7F83SmB1cUI3KXlhBz7TsaRhbi0dZGlcVoLA4SSDTtfC2/raPyp/aI2bI8iG5Mcyo/cFux7TbrNjB7fbKshg3b9J7KkFq5oZYwoGyDmYkqagbhYKABlcig5BpifM/Yt/IptqIWvFKO22MavSkVJOBGU1qnWvhWBpHWexiQBc2kTahPHkNUjSqEBORUgirRnK05sYIYZA0Rzw+OqBDyh+O40TNFEh4JXMKz3YGvRnHd49vhIRJn4nlzy++mQ0cCfo7DeWwtwQbphAlHS5X3wITTBsy63yFDq1vewTzRqEU003f1XqG+p4dJs+U7YA5pz+atVpvskMKnqK0eWBMSlYkXDqOfoBUjU6xCApHyjkKFASaJeJZI0wB5w+imfjEy+DJBBpMEjkOP38wVby/NEdiLmxY8eI2PALNKxQLfvwb/ePeSAN4lr58BoDG6uik/8ybM5X7bpYz+vFnAZWeP3dlK1D4zfnVaey+9nS6WbPbFs0LF8WDdzVnTsfPnwK5cWNJMmXyETxgcf3V0YuNW/SpubfWal+uEAjv0p697e3lmSe7Rx/Mq6t5uvNIMRzfcXjfhbXyAw/c9cyJ5endh/cvxJOryaj6rkDVM0923/ZD49GqzImTo3V08lIyjvVfu7/6xvPZ4e328XMx75hTZ7K9d5YzOsqpiefcpR03GcgrY3fvfu3b55c/qXvecX89WK0Ma0arydT81MwcyIKFncvMhaWNg4cPLZ87Mar07e8udh2utyiVpJOAmAC+8HEsRPyyKHR3x6Hmwd3sdx+PbWwfvNueWcJs6/S1100rer1LOlMIF0dRx3fRAgbeQhsUILiXGlPXVsgojRg6MqoaCICyTqtYA9+wZaWHY7e23gzWmsm40TUqVFJHibSdOOplKC1kk+EajNNQoCgrWzkYAKGD1o2C2QekcqgfcL4OlGWyqCaJB2AViLOpffeh0RB/B+SKWmmfhRyCosM7FgZyqI6w7iRzV+Ah+EOJsajHAHLxJT5jLsRrewKeb1x97Y8obieY5XnYAdxjb8gRCHg0O6SMga1wNfS5EigJjgPBqonec58dSEBgZCz0L4pKo4IRE1QmdCBonbJ9xrfGo8MG4Lg33Ygkg3VKwkGGEVHCbKJcRdJ4mZqqjBoXcxcZrrggHu5LVHW3wvoua2ubbPQmPSlr+Nml0LWdvYoPvvJMcuOJ+Ap1dqzCrTvKcX67fOuxZXzcctvWYKkaJ+bb7y8uPp8Nr1w4dew52ZnuCrawbe5LX3tq9+LM+ZOn7b49a8Pqu/zV5Vg89sdwAfTr3JV4z556ZTX+02c6l1ekFW6K8fNLSaTZrGKbS6mz/Olz8bDmkzW+Y0czF4k/+PN+txNOeA/eVWrDHztJbLlI9KQ9fnXzIx989/q11MXdurHbtm+b0rao3YEjO4wxBxezF1fGO25rnvz89D0fnjz2R+GREJnAZ3ynSRxenK0lOvbdey2PmVV877x9+sX0Rz6aH3usw773S1qTO51w2UHzR5YhjtJYnOFJykxTccqU0sYKo3E014jrwfhMIWCrbMpJzUdjs35ttLkxqQokbgFs4KCKgfWBcHoybaN4xlSiziCigMH1AjA2iQ5h6Wl83jXMR0mnQk796ED9AT3EH3rPe/Jo9t0zNfzUrHoA2Ov5gsUFMfd8QhogWR9VSaMzj5YAcZaRTDip8LFHIPgGGVfkT0oAPbXuAYendh7Qz1bfTAYfIceKMBhHmxCRjT1sEkw6SDEYAqzDV4I6B34Kno+0glw48PtI3YksQt2KcbGP0ImBgA38WmvBt8F5gjBoLuHKgSmrFJTmHduqhiSqtKJElEKDveB6Z7x3t9rRd6OBGBmmap4lLuvb7Rk7cVHqyE138aiubUQ2nZnieWETyYwmcebM/GIcudFwYAymPMDhbNMoMzW/MzGjYa4Yc0ma+ugIciAUIM2JWNUFmOSyv3tbXPNeNVhF7JDh23fuLjaWlGW1dpmMJsUrNGjeqcp/7AMp3pxFbYP8bvl5t/CiITd9oPkj/2Y2Tl1dBGq8mQxqxjaH+Hi4CYrb6ZOn3ujf766txKeK61GpZy8FMUok3IVz2cYYTdJV6rULxgbngx3uRk4qYMYeepFKc0uBPH91865Dey5dXhquXLVxRzlZJ26iTIOcaHbf+96/8uQJXfNyLB74+PDUo73rjwNG91EUZ1wYKeMbw7Hwg+voM48l773T7NijdqRsfbe6dCaZXTDsTeigi2JiItkXWRSnhMgSNY6GdPhPAqMLEVlJdppNg4EbWj3nIEVRummqzbxeGQ4Hq5v5eKJh5oCCjGLLIqV4I8h201hPP0BhEmSWhGaWwFy4HlNCuEaVCpknxCzxdZUeVRAgbjkHED4NRINCVMORzVCuoRfSC48oEOKLMRzqmIQIhMzmQjQBtc1IWheMyhq5ZvgcSUjHgZBDhxTIfNpzlSUizREbyRzoHLTb+oY6+HWAbx1E5DT18PSTgFf77Epcdh5UQuMNfINIegY+TiTvtgJhxfR1Po8zXEc09RPA7im+m/B3L4pHZ06/EbwO4SROG7RPQFWYiLIGdtQ6kTK2e8Y9eVo+cMQsWLfvNqUH8soGKKKHdhgxp3f12Mpm1DfRKRVLzrfNzSMfOOlmSOBxo+GwOzXb72aqqarG2nq8PqrmpjuxnOrN6Xwy2Tbbd44tb052bJudjMZRCrXe+srVjVHBk7Tbm4ot37Zvb14UmEZE6dzsbNrpLG8WnUyosvQWDHvvqnYfqZ750lRdiDgOp04MmJWK4u7RO2/fuHr+6lpQCcbd2a4by+7s+vqNktrvdm3btu3nf/7nX3ih1fC+QYuY7ngiVd3kVTUa56ON0WCwpupSKWSv0MjFe9mGUUtAy1rbmEC9j7AfA2wVsNGizCNPbTJGYyFgEN0PVsCdA0EoIIHBstzXN8OpOr9567e+3BmOXwWvUOxa9brBtpXLZ2/gZuPa2CKoRzI98cTXVldrx/hTX5j2s/ytL4Vcj/RysNqU1PDdsJzlw1z8yZOoXxdusN19E5Y8fWxl2w6h5vtpd4r1pGU1CeEixpXgMZU/8oFD8fOhuvSuAwDhVVmW5WgyytdWNwfLE0PRoq2HEUUFIyQAaVMUyeRiaWOKeCGrOhKVgMdBhZqAbbj3a72FDPjsb2o8sbybsg+h8Vg1MdvQm4Mu7DFnctnADuGb2jZByofQgytCZsyUJuzjJwkJJuIGxnLevA68bUAapD7HPkHdtPdF8pc49hhy9MRDwfDO54x5ZqnPfwmmIt690ITh4A3BK17w58l/sHIG+owgbxiXknepF8CQ8UZ7JAAMQypHPH4R9DZkO0LXoOf3UX4XxpCCONmS2Tgtbd0Yhu0mbCRPn5dv22dePCtl7C5tRDMJW8757hlbOpdfiS80bHHenhsxG+VifrbIc2ab2oxg8qd1WVbdqVlVl5y7RsGbiXO2vHSZRcgZH01KBEQ3VWOijTUlOjOsHKyOWFHghnMqv3hhw/AkyxLJbWWifqfJ6yotq3xSlTntfFAS2gNvL1/8Wv+eD0+e/DzG/TeunQduH1w5Gc3d/r7bpy5e27zv6K71kUuLCwPb33vwzqlYl2VZKRd3Zzq8GIzrcW2P3Lb70olnTl95feVbCPFxWuwNXTVjhTb5eDIYjq+sb567dO3kMydOHn9qPFh1k7HVNbbSwH8NYal0/EaEIKn1w/EMR13ETMQk7BKJzGLCCTGwIaIsDrlICUVgK3DJtlpfZ+C3aUBYMtu50N9Y3/QmBxZpmOidKP41m5vuj8tmKnGToqpqmJF2pk1PRw1znZiN8ZB5Y1kSsUpBKrW4bXY82GyMm5qaGo3GszNTG5s3a1YvrfoO9M2Ap6yuV1Zv4NG/tAaLiKWRAH1NggV465x65PNP5XO7hnv3ivl5152Zi7OU3EB4EqceMI4gwVOoWDhOW+Ma9M4OqohS1aN8MlwfjVcGVV7iHaXO0Qf+wZ5HR4oQV0IJYKdmDKm0EbOI6FtB5A1riCgNFR2uoRBKGBpNQCA0BxO0nfrKh9aZWoVgdk0s6K14Qo8YexjZNx0EUPhMdmC3vEHzSxzjwPggmjcNFC0Dwtu+PihyMTzvYcEHNIMQbfIXJSInPd822z3QNYIapcXQt0Byv33Qj/VcOC4t6NLI6rIot4Ql4VkCi2mHn3gBw0EAE0D8Ugh9Euqaqa/030P2UbjQqIxT4nnkXOZzGtM4rZDZ3LSJ46wpo6fP0p1ecTaOvOH++g1a6hXPK7LVysorwI75eHBTIhA2AKZq+trNVllXl0zICaiVWy+oohE7qycq3C1VPn41JeE9H55cfMGfYV+yxoPBXYfusrJDotDo0oULnekdEKxyburR0tBs3za3a9qt4cFw5eIDu2c21je2Ly6+3gL9vVieNmm0BUaolCkbXSlgWnVjqopMcalhaWtIkJOQPgxSWnqzfbwnxjJVQ/ZdpNKiaxjOhjeA+9T2oBXxVHi/QbfygZcWItntp9GoN7etG09P9x0TTTk+f/GKY2xqejYfrjRypjc9MzethpN8ZX3QWPfvvA3Uuwsj/q4u62fumeVoe8+9eCLeZGm/k0zK6d0zaS/tdLpIaNy4hambEn9MBAcLgFppmlEC7fd/yeOnBnMTPqqinTvk9nmWzKRZJ0vStGNsguIhSHViYApBNa4xzuiKGVerOC/0YFKvb0w2ruZ1WW1l9+LK8ClT4CNwxJ17gwwmSNlBgbaWJ87VCKy2NBkj2/yWSUJ5JS111Jdrd53l1lIv/O9Cw0BOFQ6NaDDu9M7MziDKiy73yBnjFGqYBV3CwOrCOZjAQsxCmAcVUx8kGMymiVRCDXugInnSSLjHwpP1WsbWR4T8joCy+ER0+iGYDm+1CRFlXMF1GiizQw6CAZQrjUOjY5jwqnAA5UzguEU/FyNG2EODjIhKRL00+nhKlgsbmgxMaTRXkt4uwZTjseqkad4Q3FEXb/KMcItL+7qWNfybn56NM9eUpBkFnH29moxWLz66fpn4QFjkfnHuxmHj2VMv8TM7sxUIeQsswFLG1E1T1fVoXI8ndb0xyTc2VFFp1aCYtrdQGHwgp4E+Bw5TMBIIZ0T/A9tnCt8B7xQM9TLkAoHJFG4rP1L3h0iYhIcj6tYy9erasLbdkS7gcGYjXYUo2yLP5+YW7LhstOukQlFmgpmIa2M3btzqupjaYRuFxChmeI1noNbX1som0v1kUpYalsO3ggr0VReKQIRZfsRllmU/9Ym/+eJzT1X5GjNVEpkpqbqxSUJSN0ebCQ9lHE1qY0tjShibeQVdOM76dwQjNjIQNmBgMWj/UElRRvw8LAxXsLVCJrc6fJlZ0uawcfEkTpI0TrizM3IaCKxwSsA4LXJWKIfXnd5tsDqMUapRSleNLspyPB6vXR0ON3Kj0aG1+hBqRT2lLMRzoy9GK4yihLaHwGCunLXCQUOCSDAH90N4+3My8gsT5ijYdvqt32cl+mJJ0rvQNNPoj1qPFiDx4zXj6fiA5bhrrGscw6EcXBTfrUuK8KaELdhGobEl+Yif/KG0Cq4kbJa2UrrRxLS53uF1bMEVIMEQaUPSR3XUd6zUAqNlpoNAzFhqWGqcMFYqCg7SeC2A7mvSpIfYb+g28e7Sb0C7pJ3WrNEkGPK0jq0DIuHpwbIOdEKBZyIM0r5N3EmTtVwxkTEkd9xMwl/csW3lW4bV93q9PP8eZWi+6nKON2V4qFuZTNf/9WWjwpuIHDf+7U3jeHzrRZ5aThlV52U1KYvhsBxVg5XB8vLK5spKVeQUGE2TcH82DIcx72SLixaD5SBWxWkWJjUCwRltAaaOAC8MWai3PNEWvm85+Z6+QUdVuljaGZ3Kh4AuxhPGJvlLsgiacrxc4qBzdalYE1wFiQZ/9Figqa0N8EM6qWsaSl5j9ZCul6tXb0UD25cvwnEEhd/pWCQH9h3ppt3NlWNRtZkKvSMt51IFL/zIoX8yCgheWVVKjZUe6nqokT6F+Th0v34TxZsDV3zQiJ3WoKEh7so0DjEcBDmhwFCNBHssjgBXvcxudFiW0ZD1O3LSj+NOFBciS0WEaBX8EsKHYcspoJvBYUnXddnoxqiirstiNB4Ug/WqKirCpT1zN5jMhf1hy9OIiBfePQg/05rI8pgLoThvrJDWaODaVJS9vz4GfoGTEcYYQZNBsw6ALsG4rqVFeKF4a3LnZ9R+ewDpAX+MgYUn0Dh/1iNTUAJ0iRhHMsYg+yAeH2lLSa1H3s3UyNJl7ZGEcFz0//HUJevN+Twk4QUAyMjlMP8DqQ7GoKlBCFVqnFTY/7iy2DrwMRlnB89okJppQ/ZR62AGGuXqyipllaq5S3xUbmv2f11M3nr44W1jsWRaZEncCAryiskT9YaVzu199zvvePKZ03cdPaCq+uLl5Z27F9euXsQj7Sxsm8nGa1dm99x58umH1kc/GDfbrbZ8b0EAsGu0ystiPMlHw3w4mKyv58PB5sbmelGOYZzuRa+htAYikrdJ3Lq3PH7sj2TtEdN3zf6+CLXXk0ZpMuNvOrpXQhNNzRK8HBD14OlQr/nJ2Fcx2sSDLutbB7x9fcuzZLkEzY7zSiQxYR0ZGLDaVRGrI5YQMwGvojJwUNYa2J0x0FUT04GIsTSCao+07dTW4f5HqKjDGceQXQ95wpH9vddj+M7t5iVLpbJGVmVdlVXd0GgHc0CNpFIP7rbFBoYdWuumUSXQsqaqR8Xw2qAcjwvdwLOivaq2aPBtdKv37omEwaPD3+A2D7tpPAulbaSMUi5NOcnHiePrldIthOuDWbeKEA0xaVRCIm1K7MY16YGUMI3z+YQeg/ZsEexYHpXzrQaufehEfJiCd6OmAk8QbijVXraIaSGoHZ5u7TtatKlEAfREDYpiIR8RarL9j6BRJfk+k8TcSUTcu8SYjnWJNnGjXQNlCTw/lDXGyYDQEDeRZqKxJ7yQNkfwSFW1rrVq8MUWkk0irWydcv3O4anfwIQM0LVYdBJR88gmkmf1TQX69kN7l9fyQ4cPD4errp7M7TyQ2NHMzHTSm086M/nqmbQ3W9dVCyf85Xody6dWKN1orRHTSWfPSdnkRTEel8NRMcmHxjR0mUERRmYEfsziB+FU2r0Tok9Tw9nOQ3zh7qBjqQ+haK12rwc2wT2ghQ3JotLraoMbJW4CHC+/1Tsb79k9u7RW75xxV1dfk1P+D+iKiA4LUyBuhYxtnEUYvfaIAuxKHlU4oGoXwWGSaWU0YI7G6Ib6VrKToAO9n7m2+RtEQ0B5gdKZkqn8lsmMRueMggKyKqmU23r20iUb7YpK18rEQspEirTjWOzjVSXUaZTPy2Oah9HJXRnbGKV03ZR5bUa5LicVHba23uYgkibMmEfEBiPSMU3oQjeBkaMGRmy4VpEWWsVKuUazRDPKxIKux4PPLakIfTCd/nAGRJdKuHMoxGRTRB9KKvCgo8Gwsw0xgYMypQ9Qf8HQRGsAF8E9lXYx37nT5RxU2i35FkQ9HzreYjZIPvS+IXTvoDpT20w9jkWr6gUmeNc50mljxhIWxc6kMHWFr2vaGKENZClKG3DLkZ0bxsvUzgvOasJmEp5oDn9Bq5Gq0BhVN7bRNiU/PSDwwG/aAh3ebG/hSqw7IeK0o1hh4pgnyU2hxSefeUxrE8exc0ZGLonPK9ZRZRElmWBgu9NMM+b2lg6WvaWWL5eNUU3T5HlZ5GOPCipwKnCMK+u6qBqtFUm4LHLZYRVPQlBw1dEKEDJHprcIvfS3OjH+vWMQdcbtPRcyKD3+CSTE44oBC/R25R41o+EjMYM4TN5BYQr2Aq9YpdOZB9777suXN2NbLB6cqjeX5xe3nXz2qbXxLQ0ofwfLV0dy5GBRjC4nTrqcZQokqJobJhuIRlykpNXCYYSlrMu1qbSqtTIETbYRYp6pHAHjhUUy7Y3IPzL4DEGP3myNdM0Ag6m/0gQY3AzcSeNsqU1e6bJuFiMpkg6XGYsyyWUaZyJNEJEqhAVrjjnQHzigFNVUBZvkphnrptJePu2F4j4sxCF9KaLELLjgef0JAWttRiws6SHLkFGUCKlirZVyOjZaGu1cEozh6BAQ0cwwODb56kJ4rq+XuOR8Q90mV5ExHp4uQwQKQ3yUxR9guPSBsYDMDR0wLKor+mQfQEJaQMJjRBgz4vomjw60L5IZJoH8KNo2kdhFYJOv4WT1acnc2YiW9gxMg9vERbF1sQaykWkmaxYrJ5A9iMmQhFEoYYiMW5yGwpASmD2lsHjyt7aYwJQaFubIf0TVZhaKljYGERQQHx/jCzWdbuM4SqVIpEqFtJkTL1FeeHhXqfq+Q+bH3lNLwf/XT0kWieZGRS/MPP5yfftFbE+Hg2hdT4pinFfjUVXllTYTrRVUxDQnoCgzReRK44RD2B56ISi56KQc3MMpL833vJaihj296HrOA6zTvVSLDtN+rOgtvoILr7+ifNdGbBBPX6UvowpPc6Fgq/uyxZP0ypmzdaP59kN7ZtINW2VZN03kreH7+gavOOJNhPIZRTxNk0ImRsQKrnAYlxW4zYAiS6eh1mO2hs06a5yribhOU3yqyVRuPZnX842JakASOd9XU4OKDo+chuhOFyySMMLwDMcbFpgS2rhBXg/HjaoU5ahKBm5Aij0dJvHI6oKWAoiLUHgEcVmxquKqNKawKBdkL0tseggHCVhB5ZXkUUoXWTCK94gwnfwwy3bOSiFoxEkPPcRvYVF1DundhCijJ6a9yfOOwNAO2HOr6yNrI1zJYV7mx9iMAUVAp+50w5oGczZ8jOEnhNKS8wRIdKA/Syf8tJzAauf1K0SURgdO7p54x5D2QtanTGB27lnS8MoPVD/sEfSgWcJZwmxqbWJYqnWqXNwwqUysTKTwnkQIsKG5EJO0oWLvpdAspG0RjQT7E1kMChCmlbOaMyu1YY2LEhvF9OJsUeiC+zS1vkgeYzpyNs1k1Un6icBY9GXr/iP6gaP2lz87+5/+xBBcamLt3+Cx+5fr2yzfpVaqLsoyn+R5WY0m5WhcFDnm53AfxK0W8+AkEIg3MTJbcMtknU4uY/QiYSQezqRt5nuY9VEvRi1Q6EXaIQz9SM/htxaBcOC9+NC3G7T9WzovD4MFTtK3eFLjK489Sx8dP0OMgVvdQuu7WThwez8Oj3mKOEq7msVkkw5rG/gDcRZjWyT5bORqESkURuSR0OZIpnKtfQ8KNok7wFRA1wm0BDXGwO/B0xTo7QTyiRHZdV3n9SWRDRuxojaDYVNu1Ga3MxoNE95hYAHANiCaAIXAqoZrFzcmqjUvqkYpY2uD6oEGU1DWnm+ZcQFJ8B9aXYnXZLeIAMdIk1BNK1AuvbsH2VJT1haaaJ4QCdtDxa1dXCj0gann54meihTaChmBXkZRgV5bYjEfxLESUmVjHFBfhYwBSNIl+lPCoMmRAzuSZ/OFvBYDujT2Hmo4yGuJ9hovn/H3hzcr9T52BAniZfUKsMjZGGxvG5MdUmxsal1qeaI13JE0ixQsKcnhGm8vgQiEjFN8DAEv7QDDV33n6gaRj+jBNNSHZBUCd1F69n584w9P3u7Uq1tElPAki5s4kgmeMGNu2361725kSk02ZBK7j7xD/T+fm200/80vTfsrg/ITaO/8y/XtlneaLapyNJnkk8l4Ug3GxXBjvVG1bioQa2OoTDDmBVxBYTwhhJkbCD+5xIUSS0BjZDWzZTXnCUat467PZmhp8WEyft3PxKN0vpsO9l1tSd4SIAanmsD7pLOZ11vZu//KZH6Peu4rU5P1jIwWXrZICoxmU1KSqWNKvXWArwglGJkhghJFWCRR+0RqnCsbnGDg4BuxVGAX5ZzrSBjBjVUG7RFsF/wujXJFCmOvvCN6LyziiESBT8GOkyZtnjyBb6Zov0BFvulRedVpY/m40MNBY0Z1repGR1XTGdeyrPCGAovQriohFawNKyrbVFaVSk/qOq+8LMU7I+MZ0vgYunZE9llQCynJw9NCGiDrSCwkXiDqr6IpKOV/02AZLFEELkNShw67hdCwvwCt8eGxRFEO7sn01GiSht8BqkigMqCGk4Uqxq3QP2plmEbgBUaUpJqWfiPxBTrCnwDZ06WP2FvfyNMdggMFHQ29lTN5l7SqPmhPtsjaPGr9l9Aa20joKAG8bhMVyQZMCvyBnptL7SBRwfMhzgWYHnjF6L/esYnGnMS38zE3DVjchOTrGpsytjTIw0PgIM1+ginSDaLgLIlLxqJehlG1ZHd9YHL2yc69H8XkZ2HKbuaiISuq9XGLkFBIwZt+m/zgLcNcrZvBeLQ5GKxvDFbWNq4tr66vrk+GG+V4qJpK425RRhH5HjRSiAEC056A4CSRcSLjGETb1p/cl9n2DWx/V6tHDWys1mXcS6yu08A9MBhscakh8p1N2Er8t4YA5WDpmPXs1IJ55ovTh+8vOOdzUy4WPMtYL0HHniU8TthMNxiKfeht1fvuqm80SHkLrIhCTZF2LYSMLCqYSDQXykWNcpPK5tqVjueOl1xWXDYiVlIoKZyUViIXNOSDUGag19uRqJrsLFq/ZJRx+ivBwoCctcUFQS48N0x42yV9dqqxdjgprq0Mdq8tJPMzhDXwLvpIXVXY3hvl6poXeW3KohyVtijqwkzWXTkEn4DOV/RmR4ihJVMABs8KP7YiKXdL2IZUnMw1KX3WWBIPw6ETmw2wYgxIBb4MqikP45KsmihC1w9rft5I1wdxh6j53SJFE7yBncDU2laVaRRvGlfXpmlUXcO3mmbf/riIOgr0CUmJwQraK0Foxkb++H7mSV5OGgcFGFRNfEMAACAASURBVPtRvorfIAL7yX8jHrK1ZLvkpLMZj1LtUs1TzWPtEmUSQp8hajZwIvE3ERlIA5pvLfTQYYeDAyUIUEgkdpq8qWvaYVhTRTaNAIxTgrp/g6E89wYgYV7rwehOGpdOI6YpwrtbjsWdD+brl8HsIf/XN/2G+MFfdMayRd2MR+ibNwebm4N8NNocjwdEGkX6EM3GCdIDPkaje4zm/KQZyohEsCyJs07W6faqyVBDQ9mau5DeLzS5fhjjQT3/Hx9O0fKcAmyxxaTyhzgf9EztNu5TzPyDzZDvtT3jHkl+eVQX0bs+Nnr+q30u3b5dmk3k9IJKGLs45vu7fByZxYR/8ZlMO35pVa6+zMD+B3pxwotEaNO8O6SQacrjbtPASgiKVeW9kJEoStNbyyR4BlYFsgZuPQstR7g0cAL3Ggw/+8XuTDIHH0sF4zNvJIRPOfglUL7dywo0rgPjytqsbAyXLm6YqempxZ4TMkn6mKYBcjFKQw3UNI1u6qZp6krryg43bFNC++TJaTxicSRTKWKJUFTINFBiMVWGWwMuU1ys2oJaj03Ds+9wCAAtRGk0zkqjeDMDhNXBxojIeP785mFqF8WBTYRWF8cNtJoeAqaRCkHbDHNA3WhX1rqsbF6zojJVrYtSV43S2qYy9qlsuGmo66UrlaoyuUJjjI4hIE49KGFUfsnCSYQRog9iIIjFCmyDEPdAdgNUCLAv4wnjqbWZ5V3tksYl2qbKCv8ShGECnYX87Y7zjB/sEcbCRIwjjjDwiEbODTYFIOna2cqakhkBP11A4mSE5ONzoRP3cIc3Zgq7WBbzzZJmrD6d+nPTWd+WY1wQ66Norq9nemYIk7Dr6830jfvBWuDWONeopiqL8XiyOcwHw3JjY3M8GjT1CFZFuOK3KEjANn37TNAwMZTQcGkp4SGWZXG3mxRTWTXOnFZ1A/sgL1XxSe9BpOWxPm9I491ut2SCdNa56YRMBR1UEB8y5Mk7/jtaB20KA6VPO8ee/pNpX+llwmYy99zl6O5ZblO7s++6STRpALr54PnTV73n3FuHeRkFiizgJopTYhjcwuukb12iVAm7N4qak4jKwZwIrkKYCbJECG1qI5TWwfuEDi8ogKhYBlwdAhhCaQa32JuskCkRlIl+NIwL5OZtD75ymH85VhuzURSXVlbjxb5OYsEGHTMVmx7jmYyhK1G2Maw2tlZaV8puDu14szAaLTACYKVIhZSCpZL81IITMz0MSpgNuDkO9EzRXuMfAdXSFtJC/eGxjaCoQsWjMO9gGUMsNrIOopgpuv7aQKnALKN5NpUqq7UqG1U2tqxZVbO8MKNS1SCrKEXOEBwqacKSgS/gciUQo7VoQuJVYH9TQKEz6Lkt+FBgQ0GMjN0UxRoPkBBfYASExxggJ44lzGTW9ZzpGdO1PDGYDQptpCLbDdyydGXATcPQnRfFAiNJ/4B8lY1h4g+9uL8BYdKtTN1URjVOKWMaa1JmMzpj0KwApEJPSWyNRqjF6kh3Vfmm3L/svByFq0Eb/ulv9Pdt4+tD6AzTJNJO9BO28Zrj4v/iLK/xqHVTVmU+KSbjyXgy2dwcDwb5qCxUPSHGES5Or2D1Or0A+lIQBs3uaRvG8IPMbqXI0rg3069GPaNw5NXInfUjibYOe0o04DiP4eG9a823ghoM9gK4072AIfRiHgaBQUcIF6KpTjAXozkyxatR6k7LkY3c+kDIiJ1ZEbGJl4bRbA+35SDBHfpWXZGPoINLAs7TccLTWCRJx/LEWtNYJWuXwLIXwGYSQ6FL4rWYaAOJ0lXBClDpBHyC0bSRZRXtmhbDLPSN3sDTgXBHAAhmYN4iGUfy62aTW0smCTZDXwRLpa4NRvL80qKxajzttjltm67NoHBkVkNFOCmr4bAqhoVbXi8mRWHIfC5irhvLqSwR0iXcxgScOM5xrTFA5OA50J5PIKoHIUKWA/gS1KqRGAdTFOPgm+T1ON7iCGiyt9TAHNTPsoHyemOkQEnyWneL7sVoV9eoxaViec0mlckLW5aqBGWRihgdB3F7SFDTfbn3x05CPrzSmnz3ycTDM6Jb2xp/jvHABDpdKoCYzkJvSIU9YTZmJnO6z13H2K41HcNjY6WBeU8ExBgHIAmcg0arQVIDYjdBHF7iG0HAGVIa6X1m3CirGleWRjV4ohD5kyQMBtssJY6dl421wV/Es2KcpxGvFfFNXmlyv3jb22di3r3w3O477jwyUwzk/O7M/sGfPP0WviFf42qhApQ0HB61qgq4OE6KajRRk7wqJ2vj0aiGVis4YbVInH9LydvKo36BYoq2qgXD4BcqYpn0ulFddWemdQMzAsTxwTEgaHFbFRIJ0zAARKgFfSa4iQUFoUarQzoXbPO0HwD48mb0/o0nVi4sJEE/be36IxGBbLD1lHV0/DL9/NapeZBjT9kyO7pjT9PP7BOngzvzW2NxUAxYHEUNl1xmEVcpvAEjKbs1COpMC24V0k24EKlF6CQgZyI7gG/gkg4sGzARIhCaKoX3lKC6ZWjI5iKuyOWC6hm9c8EXmRr4l92aMssEJVH5w4udlMW1lTWldDk3L03DGVd1xuNYJLHSelSNJnmeF83KwKxsgEvknJMSZvedJO5nXAibeNEdyCQOQKtHweGAAQwH9chz0PyLQuUQ/R5IfCg2BJlbbg2qOww1I5odapKlUG32lkXgpKF+IY0bYz10Kw0UPlBgNjW0jVVtSmWHufZ9dFHbRmMzoJa7TWwJp76g2MYLCFAGbGmK9fL6Sas115qMQmjEQw8Sbw0Iww4SRIAe8NCGnjtGpWQJd5lzXeZSZ7rOZmR2zZSNYEJDLwpB5xElqGB8TyEoRG0F+ZosJvHTGup8/OSIJjtCK1bVyaQSM6BRK1+iaaxISvIwIiX+jN8DCY9OIzIDQIf1Cqsj3EZuelP9QzumplM+LhAL42mMf2GXdWA0G8h6AYtVFcS2RaXKfKILnedqUhZVnWuVe8SjRRoIn2wdrCiZDAUyZEcEcUJgz5FfKNyu404n7U67KQWbCxlJ/NjaaHA+cOoMmmCflEYGMVKQpQ0IkRRv1ABQbuuC0RD0w+cG2RNoisAhQf/isRe444Jt34bRtO3za3UvOUGji1vH5OSNWgRDA+VgEdzGsjjOko7hiTWRVq5irBdHtg5dHBn/0uuG7pWBDt0Y5LGSNyduSrwRnmyHXRL1xDGtucI0ybPSoV8jLYiMHISBW7YoW0vedbjZWLNFwStFMVeuGRfkUBG5zQ2T9tOiHIo0tnjEotRqUlZ57TbHzWhSN8ogysOJREo4GePKA6HMM9IMoDfgB94CgHzs2sEF+MpkLwDRnbRcaOvqpkkq0UiWcqecrYSIjKEq4asymXgRX5g0LDoHiQ3QHhpdDqmFYxwkNGMbHZW1NtqWVZ1DGs2MZo2BGC/IxgkccSxSVG2Be2uUWE0yLMQnYhzHtEaLrImWB/9z62Dl4ZsQOpEQwy8kbUVA9COqyzxxwDQ6jKcmSrXOLEtAHrTwiNIu0lHknw15MKGj8TpzHIso1JY41MxZMGHwuDz0h43XQKjiMKxVslFcNyRNs9q4mGxiW5Zt8P+j+HgCgjIJ3Jtsbl7hpnr0hau3z4k0iz//pcd3bMt4Nj3qQQvzF3ltDIaNEaqpa1UUJSvROA+aGgdJoyptTENl0bs24jKlrEj61i16g7dbwHTZz/X9ycsXb3w99mIbR7ybxE2vI1Qn4tOJZFURad1RTWk1ZRxjuoi0HBpqE06K4TWIecG5JYpwnmpzMuEjwaMUtBAsKM0VDNGtE7Wumzovy9yPMbUCT6uCc/vN2qUtOeJbrAq/2vKnTe9tEUkex5GIJZgcnemxjY2pqtpNuJGgRhsEzCWE44fu2CrlMCz0flWgKXvyBQTNxI9AIdTo+eDbgZkWXSoKu2+MDRRjemAlNz0q+cCRYrw7urocD3OW13ySk+oQRnVyNGBpmsaJiDsCbkmAvmH7OxqwzQG8ONpgYG90YRTOZcj6I/EoIG9q+BkyIiwwUnwWiBfBF3ANohApXHyiMYY3zE1cZlVTyDyJRyMl4oQM6JnWANc9RQUyEg09OMx/QVOKyZwc0xdjtBBRg44HDuXkTh5EmaCgBiFP0Mrj2dMWpyxvDMs0UzS5AZEET4cI2lAMRRrdPXjTmAAA36afRhPa4OxEHW7Mo9ihOneYS02UWQP4SplM86y2Ei+EkcZKfL/GWA8wJcmKLKJ0IxFDPA6PaFRVwrONNSAuV76CRw5vsOWuNmXtqkrXTWwb63Cj0b3pwX5ibFMr7ZlVgmo0WLecAbV+xdHOaHXtqdbPbnktZyy/xv5CL+fYpBQsZnWt6xpkubqq6fbRPAakK4xN44SaXBpIUIYEhXyFSVxQThFbA7s+7k9cgyR08NwdjhEOw6E5FmKqlyV2qhPZTLCh4E3TNDKxVuHm9p66FPjhxfxRIoVIOnGWSlhNxqSmAiRG/Uc36/TSZKrfTZJMCtJaiUy7qLGuqsr1yaQeTmxZVNVY1WU5GReTMwReX18YXvrBI0XYYAIvY2dgBP8WXhxvGSAnHFkkRoJZBxRIIbsKZxo1cU7VtkldHrMuoqwZ+c8BoCXOs1Ocw/3McG0EtVNc4eaOKdUP/aFx3hNWUG4eqSUMQCsAAY6yDl665EI37idiOstGI50X0XAi8zoqa+dMvTmwo6LKuhkTrteTjhuZJMax4aYZbeawFSDyCJVchh4fRgDgnPhuEGUGGCuvFB366MwsYCPvE7vjYDtAUAMmh3h+GhGJ0taliiY1vobo8eR2CgNnwvIpkMvrmlGzaxYJkk4FHJcILhSDTdppykjEMdDTqYPpEuQpqI/GMqVZbWAnF2lNaSTkaQDXEaS4EiWEdkggMGS2R2cV7wICCSKhKxHU6bwTsY4zHcsywzLLSIfEM+VSZWVtWYP6CiENfqbmUpAnAg1/sCco4Oz4AyUh7nmBiIPUsZiCEr33CLh5mpcFhPFVpaumlzZaKJ1oK7FTaxYlwYUjZHgHf1HuTCZ41WBv+/5c/j9Qi3PW70fTs8I0iWpcU1VK81pFNUxjlFJpjWG5Sog7BUck0tN6mUhIm8c9QGRXosjhciW+Xdg4g4YEFyw6aCkSzptev4FhD/xo83wiIjg9kDYAtxpuK6IbERtUxlLGSdLNOlmaJUmM35ykYICJqC+T6V42Nd3vdvpxnCRSxrGEoRrjlbKredFMJvlgOBgNNydVPhr+/+y9d7Nl13UntuNJ994X+nVGgwgkAAKgCDBJIqVRWWVLY5Xtmj/sr6HP4w/hGts11pQ1ZVlUGpEESYkgiBwaqRsdXn733nPOjq7fWvvc1wjkSHSVq9j0EQSiu1/fcMLaa//WL9z++GPv/YVH3OXH3dsvdSJZInYWCYwxZrZ3/cmr21rGt979KOV84doTbVoKLd997+Om1nLxyO9cUy+9/NZkCP8be8hNUrVGubK5rk3XGm06Tq0ePSb2LohTlTsjGykqnVMcbaUiUimwfkHrm7WPBpgoqBnktpwSsMgAsqWHLzPQW+g0mO+AoQEkcP3nZj7m1v6sd3EEeasKHpwEq3UwYgzpZDk45HJ4SVk75NzvjDF9P7rlCDgAb59H0nzkJANeHRMwdscgTwDMCn2E8z/vBcHKkCSUg2iq0DiLxR2NELFlz55RV5Q01HXAZzztIuJ3cZ2mKTkZFEgWixe7LwIPMQbhMUmI1HyyXAPwBTA4jkVhbjXxrydhI/s5sf6FwACsi8UskiyZ6GUSuY9SmAq8pEyGWHwuU5cF5oEZhht1yI1LTYy1D8bRbJAm+dCL0r4AQ1T2yaOvimEpAsDwLUEzAfgubQYIg2BZyo3VaPDhwOJGt16vYC8FI8BggLxgTQU0krJALPHG2Y52XIQRzbRYDePnyfC2qo3K/fBZYbepGpUZ2qFf62rRqNV60LaWOWhbD+v1Q9xRXdjqdi/s5IhTDHPdYRzgEQan/VXvlA1+XIs4wNEcfieEYHAAJTUUJayA0bRzA7HCA2EBauEOkcdlpXQlxEqoOK9TXBLFQ3qNMXDwnvJxIu2N2AqepFJKVcYs5vNu1mE/brCiW627qmlaO5vPFoutum7auq6qurLglYYsLq9w95yenN5brg9PjteH7c+srdr0/B8t33+5ff6Plq/97YUHFShSygsXLty6+fojT7/w7DNPjSGtxjSGmQ7hhW98Na3XYvfL61sv/cZXZ3EurNfGCg0VvrG5bmphbFQ2eaSVCMy6UtDSwfUiVtBLZ8l68MkqMEnlowqAMpDjTFpmzhtDtwSuMCKygVgCi46Eq8AKKA2fO4nmHzhSSCkZqAvAjg2Fb4RzMpxLPaBtOM1j1UZqFwAHSCXQmbIbFtYWrzAS5JpLhpycc01gBoVgUfdrOHaAgFuyh+ZTwhWQY68J4QVaDjQCrwM9YZFUk86a9plMY6IPDuiVsyPwRfBh+S2YN40f4fqyMahjWAYB5pQPKyFEKYP64kRFfBdUUXoGYhYGIa2KBHs4z9CuZKR7a5ErKRohapFnKM1pDmQj1xANijqkOpAsheB3GiARVRlPtA6QWdLcllzKsKfgh4+/ASotTggaZ+p/VVbgiWiaDEdEw62XNs5HN6pmrBIysRXsSvn0s94RL20IiQYBsTV6NZLp8KePF7793eXBHRH7eyd+p44nob48E6+/++ETTz27tXPh3i/++tReu9DEkzy/tj1fHb679/iL1orlweHtm28f9g+P2PczhxKyUbg/kql0Vdva1eM4urEHf0gZPQbdBMhKSB8YiAqJ7pm6Auy8RFAC04FyvidrRPq5zW9BDIUbFRga9E+4JSyhoUGq2C+FA5qmqdYTUoiXz8CcRxeVznWtlKga3XSNRmwhBckaW1eVqaw2sqpr29R12zZ1ZZXJUi+6MKw727Z62c/r6tjWWhvc2kJcfXI8/KRi3HlTo3POtz54/+kvP7O8/3GvF5e6fP+gf/orT8318uWXX7382Ff87Xfa7nKlj37Thxay0B+R/IjBnQE7UZpa25YHgonsYLFRTbC5UyrbKMFoYCIkbVkp7Aab/AS6cIZMGhMmsO7ga1nCxnSCjhiMMtQCIqmhM/s8Bn3vGDw5IdG0SuDZ/GaUIljyGSA3Irg1OuGVUpjDITePc9HoQuKHGfEsNZFSiwi+IDCg1GcQrilvoXjzsQKQPLp4w8fMJCZ80gEvpyK3YEt99mlmJy4WSnEBI51M4aNBZVJcpKlR5vRi5rLRkB2mS9jEQD2YjcmGLGsoI5HaHHpi2MYOw0y0OzB0poUFWxkMwalMV1I1QrUiNjHNEnfQokJRjk2AKz+kgwRSGw0pP3939nykDQW1UJStxWw4oiFyMi06aGDlMAmhKkuSTQoBT4N3y6Ve9t1q7WxvmzrH0WVnRSWweSoC+aIhJFgIr9MZe2ftPxOXSYCj8ma7Wd96/oU/jMe39zDXDFJ8OKvEOx/du6DkCy++EI5vN6O8f7je0rJuu7N7H9xZxu3WPsQF+rylErLWVje6xhZSW2W00WMvxlF5bzB9CaEh5IG9JYFHwqgmGNg1EM2GGDucWcWTN4anGUmg0VA2MLiIEontTkJB1kAZoc1qPWZlJCkgiMRFOzsgXbTZBP922NqeGaUaW1NFoSkzHCFgMi6Q5UH/8PhQalPpLPUMQyCtUefxfYJXP/j3O912PL1vOONYE4+VjWzC+vgXr5TI14/p3z89uq9hDJMPXnlZPBSHJG45uQll6kel1HVVz61aGuSmg7CIdrjgrNBlQr1C7VSxgUZ5Kh4TTOaB23akYoR9OeaCTN4gwhgeZEL+M2sKJbbOn1MSIuuT75WNcoxVe9SK815fo7Di8zFHCLMoNIGsZeIwVCoG5DKLQlncbNnTsPgckidHoRlDn0GJtBzjx1+JOaNFMkiWHvBOKirCye6YYrInGRU+A8Y10GMZdiIpCww17iFg1WH8enIdwrekkANy8tSyMbK1uja51tJqi6WTyj1vVrmjZ40t71xyikhXwTmBf0olcpVym+QiyS7JOoo2iTpKm2WVckVQU5VhBE5fi3okuq749JSZ4qmSYpBHiBROOJQwUCSQUCbjjdCKwcB1IkTLENNqCPvLsLPwszH6MXlk+UblA74VFKXANsv5V5a8k1RXxT6uP8+1fPeNXxyeuh073H3t9R0zrOTi61++guzX5WjW+wfrdPba6zs2d1vN8fHB9aee2H/vlbc++OSxp766f/chtJ38/MFD4AoGZzVG01oFA/5yVTvkV8TkCIfOAdolPHMRBZYmR8ymRxd+HqhQGg6Ci0lij9aAOB6gZkC5K1T0JtVL2kUJaW3TrNyICwwzRo8cZ0AewPIG5/RquVi2dV03tmWbdBIfZeOyE2Gd1rA8o12fbjWIvnCZ0G3TsCPEToQ5A/6KU6f3S4EIRHr9FUS66Iff8Hb5Vzly4B8N1F5J1XVdM+/o/BHJinqdsqvHY0t2ZaRaYFsT6o9YS4iZcYAYmAhVlFfKVZ7OqgaBmH+diAqN/uxzBRpRosR51YRklwtS3FjIiZiLI7d+5V4leTPMqKGlwbSXHO+omKKvJpUghacW/0NKYiUcAUO1rMHlwFpOv0N9OonWUbxYjq4VlOaks8uqeCYVFAL3JY1NaNmAs8liMVvsbBN5I43eAw8H3TPqqIn8Quw89s/lEDY+SBRoaHdBKxStFxxGQsYXxYnm3Ba9eCNQrg0ZGwlZ0Tywi5gHdmBupCZKm2CzXWWBAi1hrzfFf8FrlgAeErDTqloTLwWPN3NMaA/Ftiuaw8uxA4oo2xgQMR4O9nnv8unarfth7OtV42unWueD89YaiMNp0EGIUzEWEVK2jR3I3xAxgzvh+tPjBz9vv/6lcHnnw+kLvsH/U/u3/ux3R6V/LvfIB1G8gZ2eFTeeD0LcOl2od1R758ObD6R1P4RHyXCn/97AY8YYJKVL5aQeAQFrQia9DElI7YNjXK3sGqc43+kF+RY6D0ykJnoaFnL0MFwDsg2WsEOdVb2yQx7GzmLoFHGJB+TaIfOIwpVj6vvh7OSsqiqjqrabJLxCDETah7YmYKxJGTy5altTWSlEpeW8tuCrivCFrli/Jey6Bw/2poBPMmiKpfODmMhqWzUj9ZJ4+KdkMSSlkFq0jMfQgPIjS9RgpcEnwO9goWaKAqDG8gLkrkbFHBIj8KA5Ee9Th4E0mJw7qS8mZR+rp9nhmK528VomwSh8kLn6smJJAqjBM0+/S7tw+gNAGyW/laAG6uD5TmT2PnCylixH2KKDTEbIihHjU2O6xbYyTUYGmvOuZyod/6BSKhJMDIsgYy5c2G4v7EaA93EMQWUQnodhGPtxeXoGajjqfoHwqRWlMk3rQrE/LWGagPM5KAAdNLYrRHaj4D92+6SNA5YaRQ1qLWSTRZ0kTERhJYqG2uAflGmLwojBHp4YjFuZlcebXXrKaYOj6foRuEjsO6JqKZEoSpfhCRxsNMtxjcA3YxrGEAK+NexhkScbdSLmNv9EioRvTBVGCtRuBZWM0vnb/93JOz+ZffPPTv+k099++vMxc78qfvC9T8yP314QNmJTcg/rk0xkTQQgPOixzZlmPNnTxgAehnrWAk2g4ThUVeQEA94V2bTTlS39RYlbQ+9yvvBvSNNFKyFlNFolY5OsATZaUmE5ldCLGVHhc5EOBTAiOfms+7Fdj8ascb8RRZqeFtiBGmNoOkVrdvFRStZWZG6urNE1atBnCzR19yg0bCEifnsOSeAEOcsjD8/A/NHaWhvY+pF3Ce+s0a2iNS7R1BSyALyS+I5oIctDTx0fREFl7lDi+7jT5REdijWjGJ93BzSV7YB88YKPEsnrP5VS+pwT855Gmk0jlHLQYZfsdy1VVVd11WhV4ZaEj6hDriQhcRidwDTEALEp2VQIslXazhaLi1cuG1v36x7tbiAGCt6jYvPm64/eUFoTmS/6YSABN26VYVivzk5c38cQtJCL+WLvytVmby9L6b0HWRgCAigIjg9PU5ar0Xlyt+Z5OpQoUB4CsaHpKmVXocknW2bM38IUfVySEchPDrNKChuElaiVohWpSWkm8lzkeYpdxC/bFKoULWa3aMhrYo2UuAFCtTnBkK4Yyd8p+1zGbCU2BJ7ofTD/ZlqzSDUso1mBRlePE4qIwyiCGMd0vBzmY9dEMXrvUtBxVFGbaGk8QGUX/1FkwRVWPjXQhsSP6sJ1D7Ok7v/zZ+A34cg5n5wcb21tYcgGDlOx/Aa7nyS7tJkrp5ieFOzb0D+QqBcrZ0reQQJQOEI00+YCzb0OEqfQKsDkkp1hyUqGoWnsIVH6sTm11qpoFawZoVPLgTyy6Kmh3iLn1Xot9gVkiCHWTQPAVErGKJRUq+WyaZq+X4/DsFgsuvm8qWttLWBFJeraFLNpnW2dxjV+F53jRD2JMZp6dnFntn/v7vhpmkHTtMODyTu/+YdkiMPg31Zlq0VlbWUqY2tpDDYbBWVmyRs3zwTwApdOYBXwrA+PaclDxfVFvgh0KAxUEJaLHTKxO9AygXhNmv/PfB4zmy04ABFiI+UhD6ULgzkYbftL+6Z0XdcXr1+RsyZgmwUdak7JWnv96sWdnQt1u/AZPJB+NQzLFcK/+/XZ+tS5flz10geDXQC7AClrm4sX9m48ek1ry65aGVF7MetKz+YohOuxrpRFqpVo6lrGSBAcRiKjG/cPj0+Xy9yPyftua7vZ2m27JmXZ1E2RwbdgySlpj/ePeAjHylem0FDzOg1oqO/HIwLjKJI3MoeCCioYfBA7YtMCT1UCyishaiWamNuUuoh/WvjVhQbVOdkkqoSNCmdqc8cFmWcx8uXNCE1HsRQIT6pR2sTkSgLp90JirkDEu5TFwHh/UeUy5EIKHRINLXt/Ovq5G2dBuxBMlBoJ6TV9XCmEE4pYHIR8KiEaJQcQDORL/2F7+3I4um2P9tK///t/XYs0sWZcKQAAIABJREFU+POwlYe1fc45Hx0fz2bzuqmbprHWGsQ2Yon1ZJmLBpmNxhE26OA4A2dBcimAmghjc4IgUKxZpkCY5BTkxrH3k5kVR1EUQxbKkUeKnZIVoFAZpApoVkJttRuVd2ocJYRdKTFFKcS4Wq+x8sbYtl1VQ+VGl6akGlprl8tlPwy9c4thmM9mTdNoWyHoqRB/8+/+u2OtxQevNHfeWWxaOX5Qrtx44vJ2++wzXz44Ov3g9tFjV7ZkVR/e/uDGs9965YffP1k/VINiycwzjMnAHWhq3dWmMg2ge2sKy4GkKbzzYPIr5XMkxFEB70VtnESf5alH+1i8BGmql8imwQE4yDlaY+u6/bwQyHznD75zvByH3iEI4vRsfXZK/vyw6IeWiLOmsqiM3V7Mb1y5Ird3ePTUr9dC5G7WXb66d3VnewaWj445j1H6kJzLR2fj4dnpnfu3z2594s9G5htVtgVpXtvL1y5u7e5VVYs8LeqvrTXtoum2uyBkOHMQP1INrS1SDLxL45igpJJqncJyhAzKr0el3O7lmar1anBpHZzrY3QMFSvrdIVYBKxUmezoSyAFcTVA29B1pTvrrE6WlFM0FiDFIlEIFblkVEJDzYmYQc7nzk0MLaQoufOh86mNAbrBmGsEFqKewheDsCjG8Cl4lyBmHtryudcUOEZ+YhmBZ+TjbtCXefTVqaFUlSoB7AaONOXJKY3kwUzpKqdrtViHfjWGVrtg7aiszVEOpo0kICTCFuc4QsCZZ4DPKSjNqYOPsVx/eB8o94P3xHx3Z5bWg5k9drG+deivbanX3r0/u7D7+J597Z17U2raw1mXHzzOzs4ODvabpm2aGpJaC2kIsCfgSzTl8N6NDu61xFWm8ohwINhmETzFWioy8CozN24JaCKE2QOaNTbpUAqSwZJyKWMQFXwSwGsWoHxBDFCZGtIYo0cLeoFzsP91zlHoHHaaeCak9NHXuTOa7TLg/iyzcGEYnO8Hv1yuF/PZzu7OfDarGyw+4IAJYRtYuL394+760+Oddz5/MmTT1ovtXRHj+x/duf6VF7bUyU/ufTSsV5+P0fuNPlS5SCgO2MgYo7WsrWzbzrbzrIHdw7cSXGmtK0SNcpJgCgnQAAnkNMNKbpAyVU3N7NkB+xucbB+cVbq2xq38arWK0QgVm6bdXmxVx8XkZHOYF154qo9ydOlkGI8O9o/uLlcnK3TT4EQHiv7Vpmqayu511fVLl832njC1CwPJYlLbtnsXtmcNRahUqq5sYzR6DSV9Eodj+OT4yaN7d/uTMQzeGDmfzwkk011Xd92MAmMtSA0qNiYvumTnCxRo52rymIGjeQ02PvQSIWIbgMItfUyr0fW9H92gKzuI3K6Hs3un8ShIEJEgL6H+BSaMKUOlyNQZnscA9wetGwCdsdlaUVtpQHtGe4M+KRIIwlAPDeMr0Eqg7KzRLPtZTFVMbVZNCh27bSBSEMR0ci2iDppOMU9/yJSX+B9geRNbnAB7AyvTycSBV4acwMjTUO5bGhDDAIm20WQhSxoI0grGnE+HuDgcls1yaO24FlZLi7j4HLU3Kik4oMLQqcDXSXQ6mPq/YLW+c/XqE/nuS+/3V77x2BOPpsM+b90+/ObXH1316eL88O7Z5wHrh/PwEWb8zvtxrKqqtpU1FXEgaNqcUhxGhHUPnmwFwwBYgzpWtufnbRoxmkB449/AVol2w4VyCZgykXQQ1wkR38TuMMZ48hyv4GlHeRuMlSlpjKqqenBR2ahtUNZFt3auZ4cYH4L2SiG2MmvUaHYax7Af2li/HMehX6+dd6uumy8Wi/kcHKaUxpX66NXmkWeGN/5xHjlPeZLVxBhv33zt1ruxbrtKi7P1+I/f/49JyGF1po5eKVEhD9MhaUYv0a5JpStru66dbXV7YjfGdtZYMgi02AS3jYIQvMKWahhFytZWGB6Cm5ucG3NM+PuV9W7shx6MS7R+CiKWKGwTuq0wjqOukBu8t7PQZd5xfpgL2xdgDdIu+qxWw/L47rFfj6wnTViYQ1vpqjMyp6YyWHC7hW2bEP0wwl+5bZrO1lAq09cB9ajWbVvpthFKb8dw6WLyj+x5N+aEEB0UV5qNWYOkaa0tPC5o7kdss2jaGai+IdQGTkm5qTKc4UBKA3bDZGeShm+NflUPfdoRQq6TV+pEuOxW4COhlGG/R4otuFNz4iCbKuM5QaoNWDTk7kScCWIhEdOER3gsceRcEkIb0caKXGXZJtHGPEvCEspR51yDWpdNQq015DxIpp9kzr1JYSZ26rlukmAnlp8jLZx6e+yNSByMnAZ0/VhvjciGdrJMtdtoLwmPRgbu8el6taWPFqZdSVCDwE2ZGV2BnWIlBDHcstObzatsms9Oij9z7O+f3NjNjz//9HZYH6nZxZloIUgzMyvefgjkYv/ig2wo4JflnNN6MBY3NwWb8IWD+h+2Ly4Aayb75kDTP0wQQJSNHlYaZBNG/xSjb2LyUB0nQj0t2mxqzmFWBYLGsLkYK1FsNy63BmAFxMtU2G4NGMT4Ya0G4B6ewsJhlyCdSzpZTCI4r43IYYSxeOcgTPSuX8wJ2AyzRUeaL/nRa+1Hr7X81b33Gx40HUC01suzNf3x0fEkOvWn4qE7ZIl5pPwkYnJobRcLFOq6nhtrIMukVGVtbDNrlVBQ/SMAOlBhoW24VOsxjyOR6CK2XOt+RQ6W+LPROQn1qIjRSQkPfSXDojXL1Slc9x84TFdt265VbbeLXNOF2rtoVDZAXXkSUhI/2KLCmorafxpVx3n0XmXR2EppBfM4sG/RRNe1qeomwD+oaVuZtxYpBqp+IgQM/VmizYYslMpF0DGVVBTlpCK+vzQWaiq4IBEYT/xlzrMiKziIrmoN+wli1me8YDOfs/NnSqmuXVNtr80ZqMi5Iu8/DACpB6JsbrRCIB/FpDw4yjwsJXI+fIlAKYG0PkibE1Xh1IRce9/5MIuxSt6m3CRM2UGto96ZsqfYqqoEYRVb680Ql4ktdGZpu4xTTXIVjBRhwIE6LzTCwEC4JHoNE9E5jDEjc5LaaTxvQSzPxMGh6+bpwraxVa5rp10tTEVhNAHMEaDQ5IgpxUwnXZN+6Jc3PsP9Oy/tZ6FOb8KhVFRGjj79X//3y1bLfvwtKtDsZkXYBQB/a+x6PdDjV3yAAzmROh/QQHnc2DDxpDE40ZolWDZkoouJQjFS4rR5VG0XPDRr2OQhjGoKRKGZErDMMlGkok0GaASakBSFtndZWKtDUF2rVku7Wq2HccC2LCc3emmlTKNkaSEFOtN0BsA45X5gej/VazZn+NSB3Sd52v2WHPIB+gRWRZCAI1tT4V8Ge6cYTdPabt5UVcuRJJWx3QyQgWDf35y1JWqexdUkDApAQ8wK/z02SgQu3x6pf5RFCdtYnGys+Uoe3L93fP/gwQ9m2rqybW1rW3IEZWeg1mB3eNANQoqjBw9CKpjilSRatjHymGOwrrSQL7Kq66oDI1NXKLVEnMO9YICsQShFbGvWtuABgIQaLF/Awkkii0QFTyJFVBEk69KshSrYlApOmzU/YkLO2rskYjBZdJW2F7b8rCb5tpaLrSRnFy9d7leH/fq0H5ZxGMf1UlOpIgIURjcj3E7ZnRMsJqrtFAwAvzpYUusYYISURBNi62LjQxN9E2IdsgEHCt/NCFEJaUtgBYUxFlZl6cFJ/1L018S18WjMN6HKRGMHIMmzQf414eBAtKHfhlc0Jj+kL+QtMna+Mg8i7R/5rS2zmkdrTF0LrYPVnlIJIjASGDQRq50SA0xlgHo/8EximfwUlQp/CCthEpv3I1bCgHnY9PPaSPhHUTYjZr8PFww5HZiVGEPKUZ6ij0xh5juRCT8+wIScUGiaAVLXyadFGXiYUdQxwMAiHSy7OLTOMSQfcJngj0UbqQe40WioQfQgWb9GV06K34nUrhB3jN9wTjkp0wxrepb14PocwOiJPoD8IaW2jJARhAbuJUnDfBZr8gShz/3lp75ycHC4kXefV6vJKf08tKDMhTeJh5OV+iaLdroVJn+d82nF5hdTjOIXhFiXV+JdrCjOGHxWpuDFco54O8qFokzgy1/7V7uYP/7449euXdv8ksxjKe5K5ho0O6UrlaXxQfXLYE1U2Uc4V+LpqpCtYgmwxsbU1JWqkNCupVxIGeGegR/LKXrXGOiSsiIr7pAS5HXsQYutmEeP+DlDaGOtaIgvwULVyY2L43jom6NQ0PIN32QsBwmtQep7p2VuIO8PiH/CracxzaDzh3aPLelhCoQnOSWYiz9AiC5h9aywxLCT6BVM26fZNJVlAXJYwRuYclHm4TRFJ1dsEYMOsZNKt1ZVUm9VysKUutsxj+w2p0dbh2enp2dnJ/v7p/v7p/dzGJaGGc44AwqlR8NsJCqBNCwWxRDtTieyPQJ/TrQ5z31ooeGO1E0LFLuIn7FwT0AlnVjHBPKCgg64Eu9D88eSdVLetgzuyOgMQ1++OVnIj+5YwtXSiURbDHKpZaYdNsicjYuFDYVciNUYj4/i6XzV1dnXOkgToUhr4H6aLItOAXYiIE22YDlqiIDpuHD9iccuzu7fvX3/pG93rl1v1wejOT08+N4f/8nYr9zdt988UpfseOn6tR/902tXL27f+eTuk1/7ve3h/Z++33/v208lPd+/+dO3Pio64IfnkAIzQQt40bEsgW3r6PZjf1eAjJRMDG/omAPb2kKSCowKHQZxtkiEW5JsSopgyX6WsFTPuapIJEpNSnlz4lmzaSP2VbBEg1aWRbXwuzNUdovhtNGmCaL3KqQVWLAi0gQprLS2yjtSHRTAhHegMcBvC/B6DP3gvvvd3//Tf/uni/liNp9hHlpXbL0E8C2L0aVxCOth7NenfhhWq/745BickPWAV0qQtY9jP8LwD4wWiq3GMT2nPCKFuRtaRSqpnNvhvS/nhQPgCHIhPyBY6HWzbjab7e5u1/Oqa+dKGk10N/StVTXvurZttre3d3Z3d7a3Z/N513U1hmUVWTr/+gf2LpSvboB8JqUSSq5u/Ch9jsoMLuDy5AxWYmWwtSLZIYZjxlqca+AcIC/KqgnYuENPpKsGS+M0ioCIhTIH6SRwEf+C7alZnnqtRwWWGskmlI5Q2CmLgTVaYJQXcAtoCEHixgRKHHgaMOWplahs9hJ2hspbHVTSuERJgwo2hW4TrsD0FQ5qI2sPUJ+zwa3GmleK7EKlwyJPOSFQPlOGI/4Cvz9ErEQxBUDohsIqRffu0YCCMk4x3Fl10uRKN1u2kdbFOrV1auyaVNek1qMliGhwIKeRGp7twoqVUo6ML8+ynMXQxLQIHnxnCue2ZEiF6ozun8M9yWqBOf+0NJEwcqNBKNZQVFv5x9A5cbkmSKQ0xyBGIyZO0kCBpEtQnCB5nFUrGNiz9AZYPH7E+XCyckenal6ntlKV0BVInDnPwAYgMgxseyTAI9XIbFvrJ2rU9St7b/7in556/uvNbvRRiHbnRnOSLj9xevf9s1Tdu3n74uPP3vvg9uLilSeeffGJy7PcLxe1zLEWOi5m9a0PP2x3HxEPXYHGBhaD+0UAVaqXQcM5ILvJfBz4Bg+ug/OodYijT8GNWYCebzEZgpu5wn4Fs20OUME115q1XZxwRHoGTnPmUEyYLjFIbWALD1yQ2UBsZsDUJh7icZyoAscnLvBzDvcwRRpypkSMDhUBNFIyKS07VwnVCuzRogvRV6Crjm4EJcUNbdvN57O6BXlKAsaW1iDaJwmF9MuQtAE8naJyY4hu5YNLOQ19jx7QUeInzQ3Z94eb69KMUWfKcmdaWrBH2eh1yUYIKDuHLKlK2crWTdPOut29edU1qmpq01lVN6aat01jDSz7KrDUmfd9ngfy/y4JiCDKbMg5Q5lGgTVjhLBZoGsOXmgrUxpJCqgH7Zs6aNToEpLNDms8R+AkawzPwP5CDebFiTYr5HdINZkTSWjH/nkvjvXQ2xQDTT8QOQ7tf8b5ofwlsNSQpBSRMU50P/B2FIW7otELIfdykMLlSPGmUnVtS2BujV0fcT6B0cHxCIrSCiUG3iAQoSDQXMi6gTLQDwOotRKMtEjWe4ki4EYHYaEygkO9QJvPDqttXJ6NrvdZOGll7xyNztQ4RtyvRkurluuwPF260C9XJ8PpMqxO+7MzT2/KVCeaWLL0HsRErOzAgYMCj0JXMrcCjTNs6lKaudS5MHOpitIEGG5rUmFSxhTnNzPQTJWX/5uDXHnkuNmfldI81QEQXvG88NwYQ/tCjyU1k5AWdqb0gtwFszyJXTvKNgOxLKeju3eWtxqpbS9yI1NNrg+B6Ju0E0HsHCVj+Wja8znh+x/ceua5r/mYdlv59of3t69fTN32/q0PpTaDqNYuqPW41dr9/f3TIbehG+fXl7feWlx79EsX86s/f/n2svvq1YcTmG5qU7fgSBmVvXdynIqJAIjrAVDk4BLyIX0ex2EckXokRES6PDbJIECp2qIh1QoPOZlyUVvAns6osdhW8o6asAsGGLhGQ+gLOJDhEbZGp8ePnnwqz+SzQIWXngy8T0LUmncDpizIzcIUHntnC4pqufM50oh8ndLZ8fHdEKratO2sbVvUxLZr2xpLjK3QKkp48o0YhYYwuH4cVqvV8fH67OR4HE7g2YT4IQ60Zhu/KYWlDLQ5OJGKx4RubCgiBa7gHC8SKyBdAO0ERRWgB1IhOlNX8LWWtqmaytojhFFVHBYGiLVuoCcC3IDWVU9mgb/eMd/aeuq55/HxjcmIUqi1BnMGJQt4KvBVlDB8D++Nct7XdU3gBeXmcMIVozBUU9BQaZQvGiIAESz5rGzDIVWUFfRH2EN8jsUxHn6SxKLxHc6RtbZpCXyVEfcZSonUFCgI1IMBNLSwOH8ipDAMwwBbe1qxayizpbGmJt4o7BMJOh7h4g8DvBST7z3n9aAjBmNU1A0wjIDQCoByAlMTOIykpNZrMOlk9NagujgHY2TSFmLf5L1frU4gf7LIEQzJE5pLqxbSCeTx0Xp1cDKOK8QTEjYX3TqFUWlY05mihCe/fXCGcauT/QUeE5tzm0ybYhdc61MbxMKFeszWJwNrWPTsTCkuungchBkTPHGe/8hD+JIfSrpxRtMwFJzE57gfCVEhGz6IRFFR8RgazrHBy9LpJMxaZWSvcPAdNw4xJx/z0VrePnGg2imXEYU4zFxdzUOs6LsZnZSOKbqlq2ZVu4iXHnO336737Ef+BF4cvRA3FiKdffjxgTlabm5xOX78Xtvo/uiWEOLVfdHN5jf7Vbxd8ldM7V5/56HSkm0Oa0xba42HJyCMgpbDmMD1FJR1lTMmNClleETDW2DIoHUMFWQmKEWQhtXNSvdtW82qClgGHJEww0aOrEbvJwkXhOkoWu0JH8OB1yBpi6KMdg4sLqYd5yROoimRls3Oc9LJqWRSmJHvDrKAuGRgjknd90ahJZNU0H8Nb7/x9uUrF2FNY2xbtdZaQjlAK6zrBkMtrAoygLWCQgxAA3JejwgwmJJj5MjDUNR70hiT6U2RIVNLzCOfIq6bYGXi/9EyhdgXo8HVxdqDlUNBeZBFDkPf5xTqtrHGW1M541CFDYbgiD4B3Mu/QbM5OqmGbGt+7ev+xhtv/OHR0bd+7/dRXAnrqJSqRbSob2MUCK2ivT6qB8JTcE4cKfMB4LZ0wnIIkEIAmGZvZSjRNsb3E42HcgtxXukKhTSMn5X8mDdv3VUHy0pXsN60ppo3gBxEbqrWKhNiHkJ2SPRBUWMGPsRUIq7d0q1O3OBy1kNPwsOofT8Spb+u23lEKQ+GXCYodTyth3F0ybtgGR2P4GwAsYG7Lb4kmNxw6oJPiXPOj733IwWMkPGTUPBwJKCcxhtjCAPh5MlaMMMhj7UmxmC0SUIsl/1yuSJOaozgCSWVvEwBK8K0hgecHjwYFhlGHOyFuV+DkWDqfO6i6pxvve+GYEPSHlpBsKWpfd4MKzYPFRE3JhOMzeQE4nL0x4WSTIWVNATsDkLWeTQxxAqDhxKdeMR0T2qRLHoK6vjJR6nc39icsDsqkbqSXI3xk+O1tjKIpYsy+l3nQxtX2AbaBmVFiSiMWwXb6W//96cfv16/+Cdnf7atPuPF8T//xdb3f04u4dMRo+D0d+oeHTZ00x+5cXgoJ4Q8JmiMAmRXVahxZLFAiWXSgPoqnIh4FinyzceA6D+QIsC5YzKt1k6Prm2NSB5PNUY50GU1HBtoLZnboM8mWwxAi3wvUUAEB1OUmsaRZvS76Cg4BJr9/tk+ASlBBJp36Ov0irJi0UaUMgCovLingkxa2Nb9MLZdc/naZVjc2QbihKbu2tmsnTdds9iet23btC1W95RGH93oxnEchv7wcL1/cHiw/8Hxyek4Dh6AtsfjRC00PYwsc6PgDo6EiSBniYyNBKP6RcSoYBdhalhGUEeMnyIxrlLazKpu1rbb2zv4JFVLsEZVt3VV28bUaKINzCa4KQRfvaYAGUXl6tc6vv/97+8fHHCUpIFiwihLHbxtfASUh+0rOdXnIMcx+1EPWtY1hsZknIl9QAXBmEEAVgF5wLQj4JPM4ckmhcbOkBcNfVqdhaEflmd99elPbf7x5dc7eJ7WKoMwXFc1nc/YdJ3U1qfcE8+zAusdCIyF+Bk1t3erfliGAK0T2KIQlEZe6tu2jQJ2y5RGgkFHJocJx+Qe/BhdG7pzyJMADbL3cBYofvUAvGgpBokOui2jkXnK35PMhajeEbDACQMMdfGmAppGoIR4TYrCYo2uAM2FfaDIdp+yurHUgeQCflQkS3wwOaqQWhc7l9qQZj51g6/GAHe6iJEP6nuJiuUYgWkeXSpyGfPzb5Xf4QHixtG68O2op84UQ4WlgaaIZHJKtEFwHbXAtJdQS34wqTsgu57NMJtarTSMJDO+G07H/v6Q91bmSifnfepmumlEVSVb4Xq4tZe11pVuZsUX4v8/vuAgxSl7BiVjjY0mRguHRWwqdUw2hTroJIKlBDu+ncHmwHwOY0WarGitfcI1THjUja4yDEtRk1GfLY/VS8wr2V/Q65AxGnfKmLHT6IYnk0RHZZYq6YjZ85cmKew/hjIRmxomNjSagtfM2K/pAWT4fNruQc7i3QDUeN0P1MYGP/oYusG59djPw9yHsZvN2nGo6hrzMkwe8WCR2xOogBL5ajAeKJ5KJJXdqP+LKoz+k/giFMlIaA2reeA2gl064HxJrRXNogzd5HRAD+2Drsc+1BYbBLhUGvhRJYNAOgqbw/6erQfprSh31ALo/LVrNA2kMMkyKmkNAXdVNRyiG2A3RL2ykEGOKVmts0+YtRIDU69t3zS1VqilHCRVfA2ldB6Zoth7g3npR7caXOiHdHy4Oj0e+nF57+69G1fnnyrQp/v3h2qp0bcloyrEV9I2iFfj3vUe3ZmvcfvkFEaj60TOhRjTUhwPEemQ8kGwCu6eflxKrXjF0BrIOtUQ3C8k0iOLvjKxoEkZDapJZAUzUebk4y6lfAp6ZaQbs4MUUTdYH8WsIJoIFlII2awqLQLgbJq4476Z8okRaQAcbsoqZpopc4+ApuOcJ5WzzdHGaCPyUGxMNngk/kWoBKH2Zm+UDR+jZGmXsJsCN7O/aRH283hw89xvqEnlQTknIpWwl8IWQi5Y4VyR9nBSu9CSpDfN+PSG2GYg/rWPFAEW/WolF3rt5NY4zDvdNmR1ZXIcQ9Tqx/9xb75YvvnDmXgy/PjNT4HIr36IR/dfeCs/rF4c1CcUC0dUQGyfo6HkswAcz8uos4UiLBgE7miD6NcsiENR2l1ypRIJTp+oPrD2Z/yNNcQoqaW487+JrcS0seKBDgpBaZ95REjtKejtiALC7IkxhBLGhmpCQgkN+lcIujKVCC5qVUI/mB1IvTk6aykx4oNGPLz44otvv/ne9m5tdx5ph0/WaJdm1y62dw4HnjAWZzv+n+CpD5K7V75k83A7IOkcVdFo55KsLzz/WPfmO7fg9UGa3ie/8T3x/s9evb1vqzp5z3bzsKTQhjKaizMx9PMRhSjb2ZPXt96/c7B3+RGzOh2R7USlhqifF6/e8Af3UEWgNBNIZUXiiG475ULQBm40wTthUQpoJftXH/x4GxRo+KsLMk/SGkThEDzI7pTzJJQEbSXKvtcVVKaYJtT1zBg40ZMUDlcaX8hYgNFZ+qAD3HaSVmkEROwPT8bjg5P1yVmIPZw2PlOgx37phjWRiROINdIKrPigZhNTWXrAzcCPDfZTMCAnNBQ3BDh3nI/JpZltPYnSIJUCqAGXU7b2pwJGQAyBrUTJoFNRVhhOPym3UPmfYvPIF3NaG5mFw4RM7h+nlZspErx5Kg8ZbwvLEBxGYKU9530H7ReVBME0ITMwZvhX5VjH2KU0D7H2rg2pG10TIFTBXBcvwK8+kXkYrS23P9di1tI8IBoFu2OaIxIFceqmA+tsirM+QcsF6AAEwhtYCqzBA8lngXFuWuF5qFmGk5ggU+i4OD4Zl2e+sauTIzNv9Xa72ttq2lk12+5sl0fv/VpKU9+9iSr807ftF+3uZVer5drvXdp1Z6fBtFs23j16OLHmX3awqhOZyArKKQ6FIH6CyFUTcetAI4bm0Eef5Iic9RGMUzjjMAeU9ohIiYOepSHFP1mV4tGFroqaLAI6ylCJfQFo7g/EW0Q4PJSQI+aW4rGiaky2pBwugV6ac+CkrKqmcl5YK+sak5xkk7e8XsTgKLCTnKTpdgxkgOfcqOcXHn1c/u6Xd97v6/HEPHXjSlgdvfre4e9953dGJ7ZnrVsf3Trsn/jSI0qL1199+9mnH3fOv/HOR236yovf3FqeLseo2q76wV/+xb2882/+6Du9/+cXX3g2heGvv/93StXPfesPrt748LS6cmMRluvVkW/u3Hznu9/7XTGe/B9/+f3L17/8+9967u//6i+uPfkdvdy/fuNJY8bvfek5yKHX+yeiPrtz//FHrqV6b7fJLngPAAAgAElEQVRC/B8Ubaa7fuVCiqn3oq2MjA4RFbYloggFDqRkLFK/Crm4IJH/onJNW1T4tAttsxyVVcoi5Dv4eHayjmlEpjNRqiLC3TtMEKoagiBciiNw7HhXZXVWyta26xpLvLuUCHCPCbuVsOoHd7Q/Lo+P/bAEVXG1/MwnMeMwgMFFiJeCCYSnyAYBs5Xi/E0+9ygkmGJN6mR855K5MHmNA6lg7Rwt59RtIMqhJApOLAfUdQLoNrR3ZjowK4XKTfE81iRymXg4hUZT8I2pkGNdY23WxGdDi0PmA1NHyrKYohSYsr2ng1Jjyeg1WZUbleoc2wCrjSbEmU+zwbcu1ZCh87uykdLEn6P4lULiwGyVvjvlE5Qfw98jlQoPSthde0NHZ0I4o9WTzSuvSGSGB9cOS7Ix7ugQ6U08qUkaUCgi+F744nSmsxwC2KY+ibUbTwe1f7K+dSDn86pqm27RrPvgRlHNP2ts+OBx6cYj376h/9PLR7/3/LUUL4dqtjDxf/9PLz+k3fIvO3jGkKE6gLMFdB9RqlaZxsjY6NW6kXpmqzGrZVbwx5cqn8nRj4z7erqRAQx4HypQHAK35Wwo0wAtJaYH5dafvyttDfHQYZsEmJsft0kMiFvde7CbiGbHpPmJNICfjNaWsQH4dqmC0IpYnJjkga3JBAKKq6eH1Ht/88P9f/ftyz96Z/XNx81bYXd5cPfg5OjwVJ4e3k7dI+Lg3rpfDb7Ow/HKzMYg0/rg1jDfm9f3V/Xdj95WV1+8PHz87kmsyDb39gdv9/Xe2a3X5bUXtjFozK/888+++gf/zcX+k6bu1nL+uO5v3r56sYn//P49keXTTz0V5axT6datu//Df/2Hb/zkpRtfeXQ8O7h5nNv9d7qvfEvm1G1d1snXzczRWZBC9qtT3ezMW3Xv/uGlvZ0IjHQcB7GzM1+tllmq2WwRhAMBg0ZVGl1OwSX/i9eemkxCo6zVZgAkZRqR9Lhy47Aia1lQ05TSK7HC4BeaJCy2tgLsgxxhA7d9ZeqqNvOtpm0bMHpxvhVl40QA9+OwOlkuj/fHfgmAYmQt/flhvB/hvYQAswyRNfAC8iiGuJQFqyhCYPOVMD3OaCVTGIbCaMvPhY97Bgpzmm41zgqZJrcUZ4rGkN07SCPIqS/46FReabvD2QFTJ4yNYoHasbTx6l/u5qKHpceJTgxWBQ69L0V5SkVhe2uiQvBoUcKSlVYCcAizFanKcR7DzPk2hjbkbkjNmOrEuO95ZhEjxfT+XJ0JlHlQKsUuhIX4zBPCMv2hv0i9NIfLld8PeGVov6dPzJN6pdHUG2mh7ibFGcXald1B+RlqqLnGYz3AC2NYg3MAVymrxMrpg1XQeqzN6vQ0jNrOP72T+syxf3f/9OKlpmuMzCP7zD+cVLpfdVBsqIG/JKQBFOQAhEsG8IJV8A5GzU1T9WtjpK1VVcfDo2iM63tzdrqCKQeZzFDzyvMWzoov1AWwfYlexvl3k2hgAlThXSmAgBK4bK31zpMLGClNfPYSSHdK4KBC+ECZSBO9DQMu+O1aEwOmWzFmWwHvk0J4hduDvLo2hIJ8+71f/NWw9fGBG+81Hx+H73zja6fHh/1avfV2duKTZ5/68vHx0XLMd7aefPSKXp3dvzW70bpbr35w3y9X/fok7//03nz7Oy889cFLMvu7B/Hp2fqV/urX8sevnXkpbr8/LM9e/dkPrz1y3X/03hv3/Z44PLnb/+TmTPQrL/IHH916dH14vM7r5Xs/f7l554Nby+ykkPtn8ZvPPvHhm69+7Xee/+C9Ny9deWR5dtKLZosI1IvFzsnZyYlTuztbh0dH0PTpQUgVcmpr28O/73hrNgO3IWVonRV4LMTnK7rkX3H1iSdDPj1gKKIQW1sbWXsXQDnzAxlgsI8DGOslA0uqflhBmoJlGAAHZW2r1Sloghxg7Z3PSfFYNSe/Wi3j2JMoGN61n70JPaSBhm20yK2Cdk5oB+E5TbJs1r+hbFJWB00ZgAvTXVWw1o3sE/9gFoARMv4HoYrFPIMtybmPLsFspQ2kFY3jtorGirLY2OuaUTcO8ppMN8/frswGzhGPArpMK2URgdHlYFCRAX5K2KKTS3JqxJo0OZPbRtzyoQ2xdqjO0KHwNvJBBnzJHqCDPwDufOqLp0HIeZpJsTQh4w0WEJbvWdI/qboyO57PUDk5ICnSigAKDZ2zCRwDXEMLDTKyKL2XUgzLR2FzHBESaKdBZI/vzR5McZnHMcAgkbNwAF990RHH4WevfxKV/fl76WT/KNh22z6ceu5feuCaAEZQGTxTqoDKwtqIrGBxda2gzPfatJUVxhLdTaRai8PTZRZmWK+cG6kABlbxIWQzFD//zbyO1N8EcdDdyLqGslvLcDLEMCZkbW1VV+QA4mmmxtsmDlLLCnk+pb9hZR4v9zDUtRVMHYuklXx2kwZyCvfq6AishJR/OH79nSMl5GunAHP+89//Xd3U1pqbHyzrqv7x0UHVzKpmdn///t1b76+dO735dt8P6348O1utVuPozq5ek3/z/b86GhHa+dMf/K0Q8pOD/1yjKuWje7fGYbz/zpvvvP06nFO1OoWCMv/TD/8O9Uvpd177yfuERUgZX3v1Da3VzZsfsS7hBz+6W1XVj358vL21tX9wMF9sz2aL3LadOvvodk8JGmb/eMhJuhCNEtrakFM/YG8SZTg8di2N7Hzlqwr9PXB6kM9BF/gVrTRxY2CRAsMyoFJgmzXVvFLVgGgSGjAwowyVs2gcEExJGgWyq0QkIVvXOdeTGE3Q8BZXljY3uVxNIOyOTI8++zyahB1JAvOWriy1sWTLIeFmSX6fjA9QmcF7o3JTpSNRP0G6PBQmvIMQ/6LhLxtxIkLiDcpIV0lPDBs26aDOpOR0QZNKw2JuD7mhKNWZHComQziuRRPLrQDWNEsppGPqxAuWQGE0U9RUKZ1sYgcVrqhlamTuJKzpgDjTP7M+di4ilptFgJs+vhzMQ+W0bHhSlf6XbHEKi+78UpNckC7aAwQP7rsnUoe0FGfzAP0jbXYSLAwl35sCjtDtgFpf8B9qwejLU34jRb9MgZRYMrCDJpcoqDd5mxz6UC/q/pfByjmdrZ0Q7v3lin7tz8Rv16HgZQNMA2dYq5jhFwZDUKXYvhy9WBbSgCCc6zrDcFAjETNJh3EGqBVa8XOIjTLc77Cxhf8dfBfQw4LUNKFwkwkGvTI9K9hnEuvHerIjJ/V2kHC1JJu9mCp61hv4DnhApNy+kBYc2t+kbFK0064TSnip3glFA72dD56YJMpY9cjjT9+/+U5S2g8jcNWmBeeZJkOVrZfrVasUElnGlYEC0AJzaFt6fru6EiHbx65uv/X2/vb2BR9gfRxjnrX1t/7wj1//x7/eX4/drDs5Oc1CX3r0689cOPvRq7dEhvmE1cqRAoC81MpmNJFaIJPtAvKDlFBO1ZAC9XBiq2uTbIjeBQmmIuo6ZXHT1gNyclQuLFfoInNO6wjrZiqDkLGAbKHwOsjK/WKeR+mDePHEq5vKmrYWRldNNVvbExcdbaYTEXII2aibiB5Ikw8Sxk6UAqy58fVgJ4547tiIrYC4VKCJf4nrTOOBz3wSeBixxnJCwfDNCuxQEvXIJ5EqLlHVkGzNf5lpbcWohJ1wN54Sk2knz+g2rPUJciZTAr6buI/gl5jyyzccB6aCcslnayFmRRCWRz1qCbEncIOUi1yxGV2YED0ueuiaGcAtBExY8eZOpS2VdkScxzSPcRH8bAyNh8jbFnuNAgFPl46/C1OeN6oTqsK4USZAY8Ol4yRCElV+6tyzrBMibI5u37Tkky0MSeUxUwV5kp3dC0J93knTZJY3FrwukFMH6YeLSyUvZzQRopXvgvFGJtv3uxesWZ6x8rzsZug9J2Xu5uOwVWaZItBqV6oJh9SUz8wnhTZMTLihoC8aXhX/wkJnoSWcRLEYxCC5sdJwXKQ+VFm4QIB5KjQGLMj05eWUqFcP+PKUDQXvvxjDn1RqhSt+TkIsB76+S2mM0YXU+zSAwiC1rbv5FsnnWtBoQRu3zzz7zNbWFqvCHrQJYgiiDADLFJDIj3DiNlXTuoCgz9rRxDZiAozwV/o4HLvGLhUlNruMhQthcvOY0IktVCWwcY3xyM+AKQI6J6aQBlgBwBqN47PKg0jjHaU9QXzUXeWKnkTal+L9CopGNxPIJEg4spevPXL9ype2de6P3v+Hn7//1PPf/vJu/D//7qVnvvlv9vRSd1dspZeHh48/81hj29PVsDw8unRlexyGX7x3/3K7theeun6hNrp58qmv2NT/b//hL1/4gz/JB+92iwvf+aP/9v5Hry2uP3P7lb81N76x083G++/+j//T79s4noz6/V/88NWP75aHlr5wIBIbPnLMMB2i1GkoFT2ExdT7o/fkusY2vSSlKTA9neeksoKLO+GkwWO/wVpHIqchHSekhKCcaYT4Ra008SEpiQpV3Whbybqxs7ZzeWEXDbvea62rttGVaectapnDIhyiJ3dKoBwr55dn4/r4FIszWQPwojzBviX0jB7fLzJLmm71kmPK9xNXWOoIKYhk0mKwnzxxrfnu4aFeeUo32ZdTV8snDMVi2rCde8Hwnq9Uo2ksVvgck5/IAy9GHnjlLaZetNQ9bv4334P/Pso3wbz02ZiszEWWcSNag5TMrUxzmRcpbOGfPA9pDr+63GTJqUFTUmssBZGxbqZpMgBxzpajH+Dh7oYfXWAWXhgfuAnwmoaEhZs/Kt+XPicDGtT2ClUnDe0iTQfZf4PYM7SpJRotRXXjA0AWRLc43abYp1DBpSJCULKCe0raU0n2S3vjgr5H26eIuWoggiO0mvQolzKN06SnmHYscaXq84emcUXZmNAclZLHMw02o6ZcXTBSiFou4ehAlitgK2Kk3EpjpWhU3rJiq0l7bZ7NTdOqdmHVrJVNmyrkKSRdJeSgW5jm0tZok5u5ocMRR75E+0mRUMxYsEo6iKnYgQZxGtzJMJ6O4fDM3z8J6MK6rSvXn7h0+cqFvYvb27tbW9vz+azrWrLBpc1X0XxxkSarW+Lzw0WRTjU/cgbu5dLVtgtd7JKIY04OYjhoQ3EnxJi8844isvC3PcfZs2sk+2WU57NIOHCeAIzURo0gG0EnB8NvZTKuGA39AtwxuN5yqQK9SiEUTxHJSiejkM2UQBU0BrWOTPbAJcoAyphGAgFISq//9OVnv3bN7lx/dFuaZhZD3pnX//yDf/jd/+rfvvL62889+cjJ/kendu+j/fWTF5vD/Y/r3cfns9Pd3bba2RHhyG5fevTS9rsfLq/feOLodP31r37jeD2++sHdP/3ed19/65Ot7a26My/97JVnv3Jjx4wvvfHe9atX3/3oLjce/MhTL8nW2ADo8HyQmqyGeDmOzjXjCBSStIuT4w0HGZBfK2QMtOvmXSTl9LL6HPQ4x/IgWC5Za6P3TdPWFWLFPledp86KuK5sZyO1aebmwuWtzqmsA1h49GxV1rYz2JCqWkIRP9DuiPBYo/WpC/vHcMz0wSGsDEUYAyVCINB6TvcWSFifs+LAE12IwcS7KNqKqZJqNMsli5pKT+kXigaOJRPUoJd7C5jZp9ovrlNYsycm3TTHKOUOUDC9Q0GVy+yNJoFMeTjnvZM2gx3gJnIbdf5cEoHzTpO8B84zoTIMAuDn4N5JtE6FEFUxE7lNca6Q9zqPYg5D0QSnug2RmVF4bsKL1o8gXg43x/6Xn44CG9N3Le3a+U6gqHUBf5TTUsB9xGjgNoQqp+xJSDzIdwiCveG/n0UNh5RIHSfModlihRYrsmUo3SkPbunTZNCAKESJXpVSWLDI0WXCIr7s4dFVmThgQ0nbAI6Ox9ggoHGnCbGwIikjDamD2K2Yax1fTyaYFNiJQ44hRKWKhN+hn5Ca7LGC56EC+VzjVooIFMY7Q9zvsjO57R32NdYZWynlGEKKCqaB5DUhlTTcABIPlR7DcpZxCnhAonFJ6N7BU8I8y3JL4+wA/aE/BjQFZquKZO4CBQH8Q8mRzYElAXoy7F9oXDBNW85XWCilKeaq0JSgiLNqXpvomtgEGersIQIYRzB8yTIf5m/eJwAUQDmST8HAUyHSglWEKtNei1dWAv1gqCajV54ipiVoX9AtBu88foOgkilZGA8hNtkQJ8K4QIIliOuAm77SFm5nJDcgz1KSVsukPnjzDZnTmVu/+d7tuDy9ffIlefvjnPOPXvrJC19/8bVf/OLxRy//7JWf7V7orD3oXb5jHn3uqSfev/nuej3mq09bf+TM7LlH5dGobly7sgxy68LlzoSPV73Z3vrnt+4sjHjz9uH+Rz//xlcfe+uVHx6efm1H+Fdeex2sAd4pEt2Ag51p31hAHpAvSGGPLxnIIc3B3UmQOtpEV8GKc3IEQ8UiVwniDUuZMEBK0qMKRigsSeHhEVYFf2TuIeHjgZOPk+77e5tuj0LH8KQDC0UH3c46ky/VHeJPyf+KrpOFs5wxFVrtPMsOFrTQRGOLE+MMtORqHENwPapJmDadvCHDh/Kki4a5uCTP0k8VaN5cTLBLiXQ4B3bLHxORmdmTNJhiB9DNXrjUxdJblSe42CHy9nPz+0ximFpm3nvzm/BKUkLtUUwng/OCb3CLXRjH7EnL3rm8qy/VmRiMlB1FdR4MQp7ZokRyPjYZmMPlrZHwQuqSaERsc25SahBkxdkozPzg7pDU2Myom/r6yTV0852m7chGBE3yRp6Plo13KSZlBSovQsh6cfktTtmbbhrF1spkpGikrAUcJ3FXUCb5hOAQ5s3m0TSvKARrvpJkBzlREkmHw34InA6+Gsy8SeulpGAtNWXRkk83Fl3m7YA2w4th8WyiTdS5N++5tQIDFwRe0SNHSyxv48p3nPZiG7iLqyhayxy9S15GSN9gTlNb8B+E0AaALt190DOddzX8Ocs7F2OVjQ0P09zpAeK7j4EKsr/kccUkKKUi6CdkmJUIIVQuBKGcgacZdQXnBrmlaZiMFHjaR10b7VWtlZXFAyxiG9xAaAYI1GWbkQVKM60C9GZo7nigzHdzyckiaj/dvSxmjLXVnjfaCO2wGjZmaKJp3lhB4REpgWjaD7Pf6WZVQe0CIyXERIndBa6B3w4zpu7d/phvzeXdlczi5Z/+iF9mefzJD354V2t1997H1tr1J31tz4yx74/9/t33hDZd2x7e/chvde0syLpVYhykfuT6pRRhq7St4+nMHty7996djw5Ox7Oz+39z56bS6t7pS1Mnhp6DCKh8RtnngPyHZUEKAXSQZi1mlD+wMzo00Vjhyf8D7m5kTsl2Y2y5WTZZBByw8zVslyEUCh6zAeIcbkzLagk1z3B4+O7/IsRzpUAXfSacrqTVQJqMaZs6ZQhYYH7AzTU1wnQn0ECO6h34OiCe422FyG3Xzre3kS4SQtNYlrnnhFhRN/pxhDpRB9MPn+NBTxMJhmanqkCng3yEMEgttB8i4ZVnfUJ9i2nihNBt1oZiIEAPRdm5TFgPCS1owEjzL35m2YO0oCj4kUmtMtXkMvibfM0nVJTYT/TixB6JZFdI5a5EUVAGUallOOOWULdKyVbKuciLrBZRzqPcEnIWROcT9NysFSSonEHOqaQyB4Uaat6NFqoG4xJkVrpRd3NnTaBfeRHW67DWhB8d7rxJww1a3qcWOy6VwDCM8KjUiN3iqHdY/qEjIMCXBwn8POLRJlEMJxZQi0DoEJEXyfd9w4FN4XClL87znVP6OKx0YJAAJ6oUfooFw4tQo1i2SbQW0kbyvB7SrAB9ILwA6e+Cm0RPBxxDsNMgDJWqJTlHlcqPkVfOLove51ZmJ0KtgrQjHjlMe2CUIoXGi9InolEsReicA9EUS8IrBDZkm656au83JZuBEIImKHAANxIDBYRtAuZ0zlc+KDPSV4ONJANi07fc7DkJZCL1CPsec0XQSnQNKCA5NnG2iBQBPnlm4fYmacgESBKQikoBodrmRiNiDvP6kDOvYsRkq66s9yY2dTWm5GxC489LDn8KWF0IihPkPgHMHi742GsrsCsSZMvYmIH9j9gNuialKeJQ8LKdL/MGvsPP1yQkeKDiyNgvUwRiX1tLbl00y9dCW4LADUwUlGz8GHfbyrVm3VDIKDHeQIpgQ4lJeF7ksNN/l1m+YrICaONgENOpM0iWInv70cUGZRZp1BbMWlTxYgASiEw1FbkigKOmhHnp7EjPeo4C3UNTsrr7Urv3dXG/WNOwRHPyDRSwS9E2FO4ZACuDQo2HoNwByI3F4ieyHJwYRuFhkT2gLgTXtabVC/KyS7YC+Bfh2xLdiH8oMcv78bNDe9ghUcI1sBuAkRuaQYHtz1UdrFvjfmTjVLWxBCJBdmHQsVqZmxN2OKZnG5hYiUjjFmhirnFXdr4PnUCQiezAjzRvWwu6XXr1qaNlMBwbXqIw4BGFXd1kK1MiTfAUGAkLrE6Lhc7bUu7ktJ3lQsh5zK0HuGELqLoZxxFDCdWQvqzSeAT5Pbnb3cAz2EBz2SVgmkaq7FT3qQEWUwr550uHvpGMb25TKusAqYtJsMq5y1SoMAGEsSz9VZL2EBBHolYKqSEvF05zxoc1QsFqpLiL8WSvuLafrO21HdU1hyebTJQycONWmdrGcpmwOmxYLOxuQsrKab9WJl3EvuRVq5DAyayPl1gzNQF835A/LO18EFsjRRVE5VKlhF0qc+C0ofwvs87mTCidkIzOF6OMgB/ctU0wWLlxprGbuLbb/dHzV5kqTtuCIg3CjggLGYX5QkkCESAXaYyixsEY6YXPSRiNqsT7Jz5vZY9Xtn1kgkNOFFNbjcuKrgu+cI1pgoW2F+QJmOUSi92Nzle0FDiYMJNTEvw6eJLBO28+tZslAf5tpDyJMdZtSsGFNAZoGOGXbxyMIArLlIQtRTSOKRcKZoZbHKxawDMDoA/QQ6rUtK33/r13bxY6NH27zZnckP+nOJip3heuPushNXyEYKZvyV6OHXd5lIqFr4caYxz6wY0D0qiJsMgPdbnvN7uxDVGBKQNqelcmapCFNpEwYLsJa1FISDg0kJR7xAWZNgcbNS/vnNj8o0RD0osXYz9qi/E9MGjFtE6O4/jnf/7npYlmPzv8nCJvK5vgaexF9FVV57oSVSVw6Vh9gZwwIkYghnt5thrXS0Q2RY99AEId0NFWpoHlJHxsrdFRqWCrMov7gg6a8AoSHxPvk1BMokPgaS8WmZPfRSFfkJs8dsGl/SuTRy7TE8Ky2bNNHSOP9cm/+AHVFJuVS1D0ymUqMNy0LNBZpAkh5bNMI8JpzEgljTymKTIKD0Bhj0y7aapNm6Y0SnCKcyvUPIutlLZy3s5hJnITkvUANzZFt3Q9ZLNNPI2SNTSlVk0CwqLS3qBEU2kuHht0ChnuKNWUf5JQTfxgoYkTLENWr6W4cZVHoi86IGz9bZUlTLrhHIhNCBY8il+kAGi6NpxECy4YaOiIFERIIg87y36XtiAUXRZiPFn7na2zI+bSnT+YX3DIf9EvS+/xy9ilX/j7D5pKMT9o5D8o3lvkhPprHpVRz97YurLbZiF6F16+ebQawxBSP4aVD6shOiiE3Ok6HRyd3br9SVO3TQMiR1XBaJj9AunJP6dOFsN+QhU4AYRBDv4/LtPclDuq+27og+dgQ1wjSnm2Nd6pbrsZ/NfqGnZMeDu6wTZjHIJQsFci0gjzELjHH0eYpbuhh0pCq6ZuQPIla1D2e+bBNLEGSrwJcCTgKvxr1kKj61tsbaEPZYoJP3cP8Ik2nQNnqLJ18yZwCrWSCnTbNvBrRsUxXTd79PEvhyhh0zaMB0enR0eHZ6dH/fokeOCwmHUidIZ5dKUmM0W2bAXplQ1ZsdoaEz1yGDFAvtCym+351nyOUPKuQ+pK13XAkZG1gnNIyA97SxGGBmAvYi1ESKCHaz4m36i6+PCV7TqkscADu25sXTXwmkZWdWkc8aNkyKEC/j/Yfq2Glauq2M6jtaOFVTTqIS/TUuox5WU/rtdrd3YGh+UwFOyXEUCYkIBYTRolsmECAo4n/ux4/wviXWjWxrvugoYxewjtoiEl4CRw4uWJS2hhLUzt9dRDldwEHu9NBgM0niqOSVS9NncA5QBSb1Qa9mI8QEOtSWdCZF6Isui+YLowL7KbDpx2tRQazrg2u8aVNZkG3IBZuYMzQjRZYCSY8xzos28FlLgVBqITGsL1t8Dnk2sdbYgKnQ477kLrLuPBjb8ol2zW9EzgI0O309aEhTN0cxZnJYAIhWldfob2Ddiwo1NlGlFFId/EdCYSNOZawC4CZbvQSBhMTCxpBCUhWQEmgMBsMKCi1ZFVbIiITHm8d1J95VH98UBhKg/hAcH1RMj6m5/faWvd1jAkiFkO4DZgqw1XMFRjskPnCt22KNBQpqFKTFvnqUxzYixvr9m5n6z7yWoTuBNfV66C4zj6rnHOBQ9yGPapSCuEqyZ6QK0aeGjCJr9CgSMDNtr+byipxG2HwIE90J2Lw+hR+ob1YA2TGWAUjFgAaifJhonH8TSmKjWa14xxhIU//YqofiFEmwwJ2PAXWJdLR0mfo8eMmL7cNDBlqLC2uKHOWoHXPTrtgzX23XfePTwYdnav9ONqPfbL9XoYzoYRBqhgIwIxKBkF1FeV/TLtTSjOkd4LPa0l32dEprADFMce4Jok2vYgg4/YLLyuIDsQySaUMGCxqrEFG2zacrK2MiZq44iZHlEiS2QHDbF4m2JxUSDepSar1Gh6cUpfwD+jV4fHcnU6aJNn47iYG1s7rStwM6i7QloC0pzJBXRERNjo+uJaSDi2kMoGw3sy2uDQtJE+SG0+NySknh95g4zPs2ib/4wQNtZsl/Z1wiJI40eBZVjai96RLyo/FQ/o+/hiT33xpg0pthO8okx+GZtGb/N00V8+5wYX2KgIVWgwRJ3j+cFLBRMAJ2F3IeFixguMupKqBr0fTCZ6pFcAACAASURBVOcaiYKiEoiw2oBtn24hOCFlQ6smhUhx1iu0wvLpChX5fE6Dvwi8lE/Q9GMP9OhYh3gfwmeGo7BYiFlWPRaQCgMqBFXqjcyd/wT9NPH5I1C0wnecdjqwNyH/KuaLFS6alIGnkUoIF/3Bcvux7aP3DttFHFaKeZUP0wHAmtb71RB+57EdbdRx789GX62cXsXe5bpud/b2tnYvLrZ3dre30UuhKWtRG6zRpBDCU0Rmkjx9482scwHNrIvDMEbfU+II2BrcSCMz2zuqpKNzI34U+g2cX6vtfIZkqflivr2z07az+XzetXA6Ro2GvxgOfhHemvNkESEVa0/6vdPl8mS9XI3DkJNvKjubdWTFjp2/IWIDRR9LskNC3+2Bcfq+77FmkMs+NeNgsMSIlDo2WedWrDyw7GurkHpFzx2Uw+SUdk6rZa9U1FIy6JNSHh8fn53eU9mFHIZxRJxSKFkzNHyahDnTIzxtthEaXXJgiTAoGbbABoa8oHhazxsUcqgYxkEb6GjgMa21o3mnrYCCT2MzshWenqIiq+dyVVYF5qeX4MTgPa9wjJcWuQGdBGib+d9Seh+WyyElp2xbIXQBZoEIqkPNZ+4UOjDAO/04rIfR9wr+guCjtx12t2iscCcgep0KdNk2f44GjTSrc3ieOmKevZTsso20f/PkFwtxEv8Q0kywHnFkC0g3UXrpXPBBUTdEVmVJNzHRNxHCZbBWWKa8tS8oJbssbgDnQifjzBK84DmRDBeD3wWfnaO+sHbgFICuS+OpDNqNRkWWospYZWHsC8YuAIHipH1+MjagMPMJdclDKRj8eebIZMexyfOZ8ArGrBmD3rw4j7DI5LT8dd7nYcL3gKP0xgqpeE8nrKIs+mGCCeoE+68C4WCcWD0g3qAZE14zpgCCiKRg3M1OZxoLrj85M0/MnvvT2YWLB2E9/OB/3f7lCMVv5EELGLE7s/BRlMYsN5cX9eHbHyIQCp5BoCLDLr7ptuZN5LFJ8Z8KRHyUFindNEXhAEGl6qbBXD7mru1WEYlYcL+Eby3b7ZOMlqsMyHJw/Wy67eHsJEn09bqdy4jibm3FA0MVqasnFu+DogG6+0CGozYy7u1dRCpDSmFwXo3QGdKysL13tcnLkzXwChoxEr5F0PMm2JuDpSbXnLI7Zq/cEkmLJqi5fqn75P7R9vbO2fKEaE9Yo+Bek/L2lWvD/t0hy+2t+enZktcqlDgdIhn+hehDdn00WE88kJQYR3IcOG/YCiH0gWZoMxukHSCtiqqoCws3i7aRrJPmoagbg9WhVwNW3/WadrYcwsyvxnQGmk5RfYHsiaY19J880Z3EbmQZxIuTj9FAQE3aPrRLQYnICcDawLrCI6LJh7huVn7RbacQJfpiwojKXFOAEpjFMPjlehmTryq6AWCuEKIOwiOPFjGw0FNTmBnASk5z/NRx7mmNelfc64i1Snfh5kndAMubx5stiiayXNHAYH3lOTlRbhnaL8tmeREUMuKXUv9XBoKbd6G+HysVB4wzEQ37ddh2EeOpGC/T58FEgnArNvoiS4tpJeG/zwZJVPRjipVRlZStkJ2IbQptCk3wFlWbRlAkEH2gOG4GgHzOmdExlWP6gKVSlz+ddDdiyrUq0YFT+4yDYTd0vPhVUYfzdgM2iiVbdoL9GOPRQlSIr81GsgakSC9oHFd0KNSMk50W0WT4ymgy1wVllCRsLHkkN0Ba6Om0Cp/339x/7Dl55+PLNx7/EAvKQ4R2kJ0Qpz5RQfJZLXaf//0/Xt19T+9cjPGHr7zx7rUvPbU316PI3faFR770RJfPnFoYGZrdK20e1wGkh35wylgRXdO0aD2TvHJxb/BRdo04Ohaq1jpvL/wnd4+yrXa36tOz9aw1+8fLi3sX7ty+tb17SbuTDz+5t7t3caXN7lZ3f/+gu3D10SYdLU+VrmdtG7N55OKF5Qr+EgL0GThlpeRJOZxXo5+13bBeOp/nXXW23H3myUvuxpU33nzj3v7h0y9+d7Z6/+bx6vlHmpO+nzVVUJWI3lYmJtGL8fKlS/v7/095V7YrSXZVT8SJiIwc7r1Vt6q661a77C53d7XstmXZBiEET7yZd3iBT+BX4AvgC/yOBELCSBiEwciAm1ZbuAfXPN4pMzKGExForbVPZHY1L+AHW01Yat+6Qw6REfvss/Yanp6F4fjGie82p5fbbdO+dvvN7OWD93/x5I2b1x89fHz95s2Lp/efV+OdN7/25SuXD568vHZy9/fePvzhP/zjZTO8fuvNvFs/eHp2++2vl1cPP7x3//rx1W9893fu//SfPn12CpAXsjBYM4choEh3yE/q2gCD1q7jGiLM0/o2M2qPw171c/R/pDcJyRs4SBNj/y4PHoP4Yf3cdXnb6JfQyGcEN5CSjnClqA7UbICjKbgagRVDqxKsuBq9Yp/ESaFyEaMXTswY44s1WFIYuRvbruoC7ZjCrBznCKsj92XoA/TX3hWZy3Lse3sYW4E25KGioQMoCC749Q7zA2wOKC+Sd8PnCrQIpXGoarht3Lrzv5FZYdGU0eGI4WO27NlsTIvSxOtC7QQj3oiBkquoqhMjtrqk4m4tOz82K43T76J3FBpkcPM+G9pMZjT1TtA7cylgoCKJ4EI3BHCTCI6s7n7MXJ+NsOQv0mHmoZ+dPJh2mDL+KwNV1l9K9yZanc7OTqLNz2eCj+MZ3ivNppkk6IwAYyThiivBH/X04LfZoLH6DOVOfNIvh37h03JMM7I3MI6jh3uCMrwvDrJVMO5mzAuQvwLLWGhb4uJrr3UY3//rcPe37v/0B/OIaX2BDk1URPsYk/b06cNPPzn/5P1rX/tufvzVu+9d/+3feHfMy3/9yU/u3Hmr3tbLRTZfrG4czs46F9ouLxbHB6uHjx5mszIDkW2YL1cvztdUqOAs37h2XPd+tVxVZ0+KWfHGzVsv7v3cF/OTr9xZzR9kaf+kPP7ue291fXj+4u9u3Lx168ZJv378+NkQhv705dnJm18uD18rc99tt12zzYo5lG5pGFxWzvzgFohbxr2yzdO+OLpyWT3zWbY6mF+ePiyObsyLIs38p59+/NUjhI2wFtFfbba6fmV5bZmdV+15m12dJVfm2Y//6+l33ns79OGjT1/cOuo/fN6sLy+++Zu/e5SEu2++9fTJz0+++e3bIf34g49OVrMQ+tdunnTVo6puR5cfHFz9xpvvPPqrvx2H/sVp9Z1vfRO79K49X1fa52KTj/rTt107hmFb1VW1ZRAqK4DaDoqaRZW1rELePhGFVVcBbA4zAc8RgDFmtHmO809yCzvYuHofsqZrYEXC0ADVqwwmQ5iEke3N9Tluw9HVZbi7LMWwgL8GyM4wfbVJnmikAquialR8SsbvwksPdqN10zd1szogos23hrAZFrIyT1eL/GK12NZlEpoCeiJ0VmDpUYEaOhhYc3MvNBkPErrgZp+5eGGjyFfC0R0BfLnEik5swusI4+56amGh4t/zFMLQiftuSINIno7bbAWjYNWKwGrixBCPYasaSAooxkiEfk/iYkYgSAM1sRLEsZJnLkodNW6aVmgUZ8JImnrpb6FSQSYlyHew3l+EoYBN0lgM6ElRnW0kaAjujvoj/zmz9INOMhKD7KXv6M96dwwInChTpg+0mWEM50ZoIRR2OpV74pf4vDaQMfgEsYRuLMZxNfo8zTgqBBMfeAVTn8XBmT5Uwi2RkINHhxyiB1otOiJcw4UwktGFucT20v/b3xy6L+Sh2xTqMgyOcNcS9QhN9eLlRTnU6zo8+uiDdkzaYThcrdIsOV4Vo0tCGFbLo7KcWdvCBwpd4/MCMu3EF9nYNHCFz5Jkvd3euHnr6UXVJ+nx9Wvzw+t9GOvL04M33n59dd6E/vH9ewEgU/ri0YO7X3/3wcNHsBM6OGq3m+CrPunO1/XR8WFTt4vV6LLFdn2RZwfbpiqKedvWbT94OJeDEYbluquvvXazqZvZAjGvxBoZuAUT0TQv/Pnl6d07t56f1UWz7sIieP/42UXiXB365w/vFeXBuve5a49OTs7bbe/qT56v8+4in13bVOH2GydueArUut36K1cO5sWLsHrnS9cpEgd9/PVbJ8228uUsjMnJjaunnz7incuJKcXnfejTumnJK1enLGUbtsF5AawT4LIGYiIjM2uTScnQKWSJnLKTWLix+YMhzc5ghV75iJCGR2cfktAlrc+1Y+cwHze1JCqqrXyyTP0oO1aHGEaksSagi4Bjxzxf4lo9YkUFTIP9wqWga0OL+BJ4hc6Xi3GsxiG0yHpsIZ0XcyxaFaVJNp+NV67Ms/S4bbcgqWeZaB6IDYN+yYe274siTQPG0ei7wYx+5eJNjk/u0MvbxgJ0at5NCdjWyqQGJds4knIZZUOrP4p3wsTpYAa5mliT3aGcMESPsRQYbqk0Tfx/7XK8goJAHLNVdseWVgoAEXWLxwa0yAeBkZe8vMYh1XRYoI3lXeE7eeKWPr2Z+btF+o7rXx+b26691bdX/FhCGSD5NGW2Wu3F2bChGyjJxnaxEY7e5h55Gd05CYv4kAPtQ9l0Q8uHNVONLHcoLKbCpsFQaY3LYedFhZ5SF66JwSWXob0X/Cf5/IM8f5aMF85VydgCnwBglBdpOcvmc4REg3mD04gqDCFpYNCnkjNoIsOPgr0Ce5OLLj9t/4dQlS/GkfnkT7737vXDsuvdX/74/rdvX5/59LwJF3VzVg9PN9iCl4dXb968dnD1+NqN14+PjsvZbLk6mBVZCoNP0K1oXkQavEVeci9O/8kJ8et7ZKqe1k1T1TCX3NZNXXd15ZK+blrs28ewpVHcMIze9VW1TdJ0tVwkiVsuD64cHczL+eHRlcW8FGOMlAx4KaqydFDNGZFjeXjl/MmDs8vmYj0cldVH9x7VNeTkN7589/ayvvd8s5yXA9z4mMkwji0onZ7jqi1Ze+16s6kbULBdMlbbOvdptVkjfwn4cSjyvK02bdcVeTabl4DhUl/OF3Ce6/osL+blrN42VCcWuXd12+Kionz9uHj4/seYjxVF0TZN1yAJWvoyjv4SeGGQfCxpOyoZsqGkqcFJxZBPeINHwRCnz/scM35ZOUO3gbllzqRZvMY5aDCr+aIsSoxJSZFm1UNJQLY5qeW8HoS50iiDHLuylNoGrtnyujMjCGDrQ9P2VdWsN5vLi/bsvHp2enn+8vTZs0dnpw+265fjGK4eL4+OjpYHh2V5wLSpiSQJllTbbNrt5UVVbbvgvO/q/vz0rK7rMYQy93TuAdlP2t3Ejc+fPX3nq1/Jof2JF7B2whatFKszf2R6bAt3+NylP5HKo4AwbshZMSNFTea2Qj0pTLRW2DwV94eKE5VDpSN+3zBuEXoiyBsNe+L4cmIgRzPSnV2zOerx9wBxJOnCjeXYw1x0GNGNyjxaQr6pjdVb5NjYXokZfZi10x71IvJXNOubzCHsD+P8cJ/uu3P2kHtE9O/j5i2aMVFtQpc6Alx5kWYLBwC9QCRmAlWR6OHoDzAq7CHzx5aQZ8dgIlnwcGHHEkQL2XiKov7TfaEPUs2SFglsruUsCJ0dLB1YjQYHJth2eXwdoXhd28KroWsTnxbZiLw7GdvwQkcHoWEDOWwOzQBD60zy4FZFMXOuwRDL98EF71rkfzgKSsiWHkAVkPfHOISzizArChnrgDCXJH2gFzlpYZgnAVeN0zXDUt3py+d8O0My1I+fX8rdJIzu5aOPq1m+KMt+GEmQhWZeHVIfOorFErR8Hd1xeau2AdapddPIzoPPMlabDZOdSaPebAA2ZMO22sBrKM16126ovMD+FNegnBkwfLuz/PAwf/mfyR2FLvqumzhBkYBP98oYw8nSC1K09Owib5DNrflVGqPu+GyTQDSq1STc723wFrqmRaXXqeIRSNpl1LiR1NC6M6d6f2xPgxm1odAGoIVh5geZiBxzkq3IlQbVbF6m49FiUaIbxhVB8kaUSajY5NJ2ZN7N8qxcHDRQPrbnPcKOtpuua5oLoNIOtME0AzmEBJCLs88JVdgzTtq56fuERyLRQqxHowdbGy0Gh50+G8rtIZu8nPg2Iz+fxEzyIbByyIZ08mQw/CR+8xUY1xpxo+HJin9H6LMeVhi1vYg4e9C6PEH+qXO5G8uhL4Z+0Y/FOChWOHrI7SQ20U/OLq0dKi4ChskI9fP4HnBASSeZXwQ3du7VVo5xrWEEr33GZ6JYEJe1h4qIUMvlLU/8LE3nbjx0w0WSbsQsiQsE9p4ZRaSQ84qmyu0L555ZNmYozSkAMgs+j5uX/wdHG/pt1zUBp/rJRZX5pGr6TR3WTVe3fQfH4bSp6/XlOkmLYUjaDsq3vJzR9gKobuwkaETGS8oUbpaZgf/D/ghOOCgWsP5t6raBf7JYbeLkdtiLg4SLf4Sg1mab+WKb11U9L4vLi8v5YlGW5aycw3StKMQ2m9SwJoHp0da1TbcFxbjaVlDqha5LfTKbZe18Xpa1mlALMxwdaXU9TaBa5IGIeIdvgiYewkiKIIhmPax+sN2aGg7fJZqhKUuaJYmjPFLwTJLH++2Dy7fCcCeEZwgDLAps5slpAVvXhHs4XeAf+yybIesLDlMFUAZKEBm1KE5wzObgIemo8Tn0LZkIArMC9INut4U7PvOwBIpjAoYmHQsZiXSi9CCt0dTtDgyeDLmN+DHATHoQG4END869uCSIIUkCkFLfl0WaZasQ8jFNAwTzGRjU2Miy87WGDU3xkM/6kA39OA+gcwB2Hnxbt3VdU2k2dq4RpwIq3DSpGtNoTUcWmLujeBGVPRnusHfVoMr0vXxXtohpEMs1zcxNRjyOj9Elk7aQ5UALoQX1yaw6mjhbu22dcnweZbWITGDuzVbosUKBsQxxF3M0pyI5cA4pTcpeodWRxsbclylKWzaOswArNTNgEqPGwF89xKRJecUq1jvHWBo112qZRWGeyHb2EYFWwVdEZMNkUxPPmzwQ4dFqtM1TiUpFK+jTykEFWjqWSbJK4MB3QWvwCOdrFEL0secyLpozqYVSimdAysEV4iSU81KTABli9IU9AMD36Je74d2bh//+i9MafTN0OW0/Ql4xjr4OITy7vNzOyieAFzjcR2VkHzdpoCerGeOssU7H2HVbFKUqlraQzXLAGoBsIxDRWMC574kVP1qTo1JBLcfnhtAwL0QsMDeNGLTGOT4HZLB367uugTce9TI9UlMdnbTxIBivWaNDXpHGapKs0LxD5j4afJnhEwWSPQyLVZLYdcYGTFtYajus+zbPDtOA06iIA7nE+6vXrw/ICw+F5vodVGYMJWE+gPegbM/yFO8SJ7mAP5+MDqNqV4iik9iaNg3R5Rv/NNcqXOk803xbfoDFVeRZ6bbmq9WHGM3erMB4CA17l4aOMSuw1WZNn7zE2S9i+MkgQLo6kWkIdCVzebEqUY5oVlNo2cl8Dtxc152jQgj7iw5+Z4g8xwwjOJiRdxA09i50nJ+p1pLf0b5y/cLWRinXbAqV0Uq/JLmPxmJiYhBxBoGtYiAneEijT7Nxj64y/DNrhwFN8HHFa9TLZ4uL6mAnwsyqRQ3RL5FbJ3NR6rLE6tN40Dwj4lKAJ0GxZnYiPf2jx8tE36aSh4al6ZCC/+JGZMvZ604pHSKqQC3Tq5TxKffEyq/sJ+XDFYGR6CRqVXjSvOAMWWMcf2P6MgFyLZSDDHflJdivTfUAiHxauGSepMtkWKZ+Pro1rVN78e00CEZgGdYpbXOoyCUGQrNEjzFi4InDxxETHSIw9cU92BZi4jebufduH1RNWDfhonGbpq8aMHjz+eJLt05Ovvyl66/dOjg4Wi2XMwiXZzSXyNhJmVpaBAS61qHRkySOWDTaKKQ1c9WzXhSqkPr5utucX6wvL+pq02HMtGVTqTItNyIcqlllWR4ulov5HCLmZQkVeFkCfrVKDaosKcc9BnCbTVXV5+vhclvV23VA3mg/A3lgvlwsZ2XBl0j0Yxihn2tbKGaw1a5h2kmhTeygkRvbwk6wreuKliTYzlNPYD0ZnSogSfE+JxeC0VU+YaaqZH5+6F3NOHOsBECMWqrVc4krKQ4EhIFVMM8h+0NsLu01UH+nxI4Jfkip7KU7cKSUSU086dJiqCK286EPqU+B2UTiXTRoEw8VMAetapKBVFQ0SOnQtbB4SpOQgxIHQQQdOSYZjqJeBLGOBbyQ0Azp1sQHn9EBh3WRlAzwI9E3QbFkiwJkRqGvt9uL04t2u+1DS9kO99o2vAQSDFuJzyeq4FO3tnfajGu3bTgpv+YCSVdlmdsZX3hHMjNQIYpT5JZiTtyMxESpVceBKh5t7nWoBJs6T7nH0ZiDPiGRKqIv6PkuYJnKQANWIH4RY9AsTOkWEskY8OJJ0xkebizGtBgwQiZPPPqdmbPhxKDgtNAee39fRf8fE4LyiPhgdOeY9NwRsJ6wM3n5Kz8FL2Tfs0+Jsfsfj1Tq9ph+TGY+KYdxlaRHaXLmkosRJs0dO3kCz/JXCyTcZ6Psfdi24zYdXU7HnCCDP+lUgErb9vkLfBBQGAAu9I4ODTBpADAtHSzD6Tvs+9HoGpdKhFExcLlH5u7e+he0C2wxaRaMTgnkRQ2rOY63zTyuwGQBv/zGjaVP+moLhg92ndHuYCfIo5lBBy/NmkAATPmxCrSdK+SCNPF6SLtMkWXFZtnlkB8nRLdQgygOCTlCCygZN0DSdBk8YK7NJdx5eARIwcE+Sr0OCF+9yoL80aQ455Pzv2zlqB7wsJumt7TKZ5ZJdZ32aeHcIkkR4MfaNQDKgM9RAUX1rMhKOihjr0K5YBzY8PzLvCYld828Kid/hynDaYemigvHQEDsGhWmEBBCww4+agcJc5itsVylEEjjWgcnVzyZOjXcMqorouWN8OyymSXOG7ZC7XbosQ/PWeaw3vbwbu3SVp4qiJVtms22qZuhaWDNcXm+fvl0vT0/c12gFUYEz8Tp481KyetnDpQpvVRBCDHcylIy+TtmXiVBhtmkC/KfiA/TXGrytJUlvfk90kmOmhlt2eDszhOrcyATUzM/44fBod6Ek6D2cZtj9qfYmPLisESlSbkZWdkxYIkGI/yRZ/xg4VzpUoTDjskMpqP4vjZC+LsoKOWbnuLKIsRsvqBxizCJWWwHoV/jOdGVDtJxtILRxY7LPyIeYkzjNIn4HD1SKY6Mn45wfezkEr74uXMHaXqYjAeJW7ukcmkN+raRPZj5FWhvADcYgS56C/S2I76HAkHdtw0XIjPn1+NYvPZaWhTr+/f5ov3q1hubJ4+H9tV93//qEJioBEDYv7mhHUYiwZSuOOR3tjLqB0GMiZs0F4ZPBy9X3CQGslkyizg3QASkZc2cJ10IMJPM5HhWS5ccOJ8PS/JxUufLNNkkSdWFjiUF3fCk0kXecxdq2T6gam0TilsJlqLz3FnQygTY+2yW5yHMx7zvsPYi9UEecl3oPJKw0AYIkyRiDqUildnCZHTXIwVXFAsBe/RTzzIPJRzeEfKixD1jf6e0aBoH0NqVNzZ2wypnWKDUcaRjAGBbFIVpybic8H8z2t8xbirHTi9aFAjrhNJPt2I6TdohU5FKezcPs4N6biyZEAf2QwKrvoC9eYacK3qVit5lyBJtxQFdC8UIGBh1LVJkfYH7g0MyKToMyQIrzyOCLclho1IgIrEZzs82SbrOsXzCjBd6wjHpgUkjcbzBDLofuqE6r4c+XW/by219cXnat5W8ryAkjN2wcmRZqj8nVDF8AFGYJNOSoxYpGTsoGVFI+Fkcx7FfkJ0uSWy7E0kfWoDlWKr1Lu1RCB0Yzj/J/az55rWBMqyLbG/WqDoCZMgiACTQhLzF8pYmnokBGwaaW9rG6DAiy5igM3PJYhxWcLNLkFSSQiONCxJXF3vOiZJscqf4hQzbjRtncpw4LYxcZtqOs+aaIyr50fIg1YPB4iVSNiYytWyj9XVcIKeYNIYsGgzthnnmDtJQpclh4s/gJYK2ie7gWPa1lcO0w+ZYEoZaepaVaJNYRk/RfeuTX/WRpP7uH/xhcXDwL3/2p0Pb3vjWt+587/fv/+AHD3749//nxyT8Sk+dATv9EMs0mdA4ddz3jhWMbXpYPAwkhQEmAosWvaQ1lSmi0JXsZx22AdOIbjbH57hd483POktVZ5ih8xz9mFTp0PvUgeCGHA2PUSGNyCylaOyhvKsqvXbsyLGUh3Jeoi/LgFpoUwbWLZSNgREr7EMz8Ny5qU5JDk4zhMOWelVcbQY/+mzIhgEUEXsGRJDw2kpGRrfwLgfuyrBMxjXIVt9MammrqTXKw4rLpb0fPE5oDm9bCAXU1/VwIoDFJHtzxmWkDsy2GXV7cvcge2OXpqh7gIuZhZOP0x4UugEJjYV67H0AJq1nBevTnmnQZGVj4pe4WYpypK25Ge2KL04XIDxFS91mq3hGn44Q4AomsREBXybOMyGaJMm27XixabcXazRi4DNjFKeVAEGxIEM2OFdd3zXt2MOYn7jSNsDFu3Ouz/f9lq1SR77A3gHTP/WqfD2T84amambouZOc7RpVea2Jm4ePXINXAimKyOQOJWYBGtJBs9FptyLfLNlumVcWYSesdeTtKDRceFFMobXW7xV6mFVnC5C1JVN2FYruxgKTAoQtQVMbmDMkirSFm8YbTAD09M+4uGh2IV8iczuSEWCs6Zasy5+CEE3ZuVVhKVnUDmjNi/NPfS5qzOkU/BmiCPofxUBq25JkiZsn3colRz5fjOnMJ7Mxwb4Z+zJOB3m5opswLscUmGsKeqFruO21i6QoaC8G5ld5jEP/+J9/lC+WapnX9+6f/uzD808/+SUfliWVxs0BOdIdRlY2XpE2tUfjldYg7IYRSa8U/hCdp7u52I4wwhjc0HGLFHei0VSI9zw7BfxEvq+8S8DVSxZz5xOoEfK8nmXNttpW67qdw0QjD45S/GGUghOVLxCv3CtA8x4Jp0UOCj6ksOJapwAABvxJREFUGGalkowcJGIDnmd5zReETm5k+0zxhVeh8ZSGCOzOkcLFkgbBAUyx4cnt+hQLDblt6GGhmBsArFFSZvCmiFuxf6J4EPb7tBwhcsliS8n1MHiE0SDyhp7RCXNUE9oGAnYmDkAE13DQGN9At78Yy+HiOEeyNdtVv5I9JpZ6TCzANY5pG2PBMGuhhQ34C9Gz0+Y1XPrY2OFDI5sVzGxHXhcncHCXtLzDDJkqZeERBZ7L3C/p6k2zudhUFZg51EMD9yS6CUss5Ati5ionwtG5FiFnHbT7Y5/6BInpwkAtPe5VNoIOzByVV2n0rsgREalN3+dsDScONDCG5Q4c+8E4Dzsa8G9MZC87WX6obFBSxn5wCaVhhlHujLcRKcATn8MWR0lFOM1lYeXNwqQi269p/VA/K9OfiBjtaMwW+gJ0C9AKShXWPobrELc18kRUlcfcqZiPZA9o3h+RxRydoKIXl0yR0KdJI/kZ2hzeTm5vVMZ10XhgurbsepOyXFLDid437OPaJqjM0nHuBySRu2IxZrPUwaTHyhAMtbhzkh5qry2JTk4ARicE1PIZPueg9as7Hv/oR3iRJEJVz57+7Pvf/+Ufk96aGCGzyYJ4kr2gXeDxIiBUjVgGlFqZCNnCTYdtlmXOhpBvIsrWVKrsU8QZV+lH3wYA1bkkh7FcggsudzDVLzAjS8t5WrUeTm8dXGDBK4Hwd6L09f1Q143W2q7rVgerYRiKMDBxvBCZIvqsWXeSed+x7LbD4Fp4GiB6DymG1DXzMso8AvKyPOuHIRswMcZ5QDRiT8Kgh308m212wJjByHTHfCGtJYuzf6OVCCjiHSoDDdRlrVgYuSNpLx1TICWmDfEICNEOAwVaYze5uY6Ar2Pg/RjtLXdiZuzh4/3xKjYX4/kUGsSthLh2FrgJpQM2THpLfdhlIvDx29AkUBSV2jTwxRsDAiP6vGgRgdaCwsEdEqRJTbOtNqBeJDAXAsC980Tr3dDhuWXnTea8QjEt5oS/ZcmfkfUgnvH+AVbj5JwVc7dtF6EGXwh11Jpw4RZ0SR9LCLsjr84qTSwp6cC9BskY0oJj7CKSuZ0a6331RFrNJmpGlCFyLz4luKBqYTsZlSxojfSREeDlYxp9zS4kJoaNO4olu0jMNyaBdhSUkN8TBX7TAv4ZEGMCK/aozdY+TzHeVi/l7CRc3aqzMU9ix8qUDUlR7FlihmMcK066G3sFSm7O/TBzYeZ8kWYzj+SYIGM/+lPZB48hjo1NzWUmrhqEuqb4jxil+Ot0fO2P/jhfLv/jL/68r9UX/jIHgWYZQHL5Q961+paYlanbhZ7rdr3RP4BgtFYwM4QRnIdPll0SitnOPXnHhadxTYSviJKM+ZgVY++KbHQlZHkumRFr7RpIgMHEpjmdPhROySy90G6WCk3GFDDClkoX6eDxL3BJJPVoW5D8xmbMszT4EHxAuQWIYcwEtl4J0lUga0YvCP+gAYaZ4h97n9EAQJQpAD27O2Tnv2lZ6XZbCqKmS9reXU0SiVcaryaTZvZvCeR8OrvXoQ003rOIcVZnEw6goqTK9iuxozJmmWnsuMvc6U90eRN9Na9Nmllbw0XEPwSx4jSdC33I+gxn3w8Aeqfei/08oUItInhjGYLARfKDyzawWTrdqF2USiaaOBN/4aIVZRy66tit2pxqQmxevXyx4Yi7YKS6q5Trzo0fJ64HE3eDmpbRJc/wXp5DThYwzcSWfJrmwVte00SLPUTvZqIoTrnVpnJd3k+R0LhSnxP/Kdw3LiPQdePCyoi+BosElxEhLxUMlnVzcefFNloCOsUmc6fPz4iosxreqEbc+djtLc874mD8t1psIR5Cn3f+dmKoCLkWkqd3oAY8Vn/6KrLQw9vSKntcFSwvQUUZtkpcDGNcbDGM83RYJcOBd+skrXihWIo2B/JsENTO4G5k16A4ernDJtjUw5tizwDy1+BIGW7RnJ0152dsLTFwy+bzbv2qvOp/dRj9GKznnmxktMiyPTYdLJlX2kfTDAF/IZ0aYWCyXqR508ZMgB6gRrueLVHMvrJVQVWI/A/UU/oaw1UyT32Z+Tb3bZa0M+TVMt4EG22a+gM8ZVibxQKgHeatZXjcmORQdth0HQQDRA0UTVJkvhjHLSh+6H+t4wB9YjYz705O32CanHqH6Fi52thokUg2LE8lFIF7MwUo0dyNx85wnE3aTkQjIInCXUv4JV5h28P9sOAoE+GTKGXqs6QMQjjWj7mo35V7sHkb09TTDkE3u+jR6QaCvjZFXoXswNEmyQNW7G+GeOgkksnadV1R5ByiWz3UZkam0gpSQIQJQP+SC1kBETmY5cC9BmSaoV9V16+VLHDjFkUjlsKqBCZuTgafZlRvm6XX5yf2/w1ybtFOJcysQgAAAABJRU5ErkJggg==","AutomaticThumbnail":true}],"Version":5,"Commit":"da90c1f9dac2e3ac41660c38ee4665761773a84d","Tag":"3.8.2"}