{ "cells": [ { "cell_type": "markdown", "metadata": { "tags": [] }, "source": [ "06/12/21 - TO FIX: push/debug ePSproc updates, currently throwing loading errors on Jake\n", "\n", "# Analysis routines\n", "\n", "- 06/12/21 v2 with updated param analysis and tabulation routines.\n", "- 14/11/21 v1 (still in development)\n", "\n", "In this notebook some of the packaged analysis routines are demonstrated. For an earlier exploration of the basic/underlying analysis routines, see [the previous fit fidelity & analysis notebook](https://pemtk.readthedocs.io/en/latest/fitting/PEMtk_analysis_demo_150621-tidy.html).\n", "\n", "## Setup\n", "\n", "Load fit & analysis class and import data (currently a bit messy)." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "*** ePSproc installation not found, setting for local copy.\n" ] }, { "data": { "application/javascript": [ "\n", "(function(root) {\n", " function now() {\n", " return new Date();\n", " }\n", "\n", " var force = true;\n", "\n", " if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n", " root._bokeh_onload_callbacks = [];\n", " root._bokeh_is_loading = undefined;\n", " }\n", "\n", " if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n", " root._bokeh_timeout = Date.now() + 5000;\n", " 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IS\"\n", " * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n", " * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n", " * ARE DISCLAIMED. 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h=t(145),a=Math.PI/2,e=57.29577951308232,r=t(146),n=Math.PI/4,l=t(148),o=t(149);i.init=function(){var t=this.b/this.a;this.es=1-t*t,\"x0\"in this||(this.x0=0),\"y0\"in this||(this.y0=0),this.e=Math.sqrt(this.es),this.lat_ts?this.sphere?this.k0=Math.cos(this.lat_ts):this.k0=h(this.e,Math.sin(this.lat_ts),Math.cos(this.lat_ts)):this.k0||(this.k?this.k0=this.k:this.k0=1)},i.forward=function(t){var s,i,h=t.x,o=t.y;if(o*e>90&&o*e<-90&&h*e>180&&h*e<-180)return null;if(Math.abs(Math.abs(o)-a)<=1e-10)return null;if(this.sphere)s=this.x0+this.a*this.k0*r(h-this.long0),i=this.y0+this.a*this.k0*Math.log(Math.tan(n+.5*o));else{var M=Math.sin(o),u=l(this.e,o,M);s=this.x0+this.a*this.k0*r(h-this.long0),i=this.y0-this.a*this.k0*Math.log(u)}return t.x=s,t.y=i,t},i.inverse=function(t){var s,i,h=t.x-this.x0,e=t.y-this.y0;if(this.sphere)i=a-2*Math.atan(Math.exp(-e/(this.a*this.k0)));else{var n=Math.exp(-e/(this.a*this.k0));if(-9999===(i=o(this.e,n)))return null}return s=r(this.long0+h/(this.a*this.k0)),t.x=s,t.y=i,t},i.names=[\"Mercator\",\"Popular Visualisation Pseudo Mercator\",\"Mercator_1SP\",\"Mercator_Auxiliary_Sphere\",\"merc\"]},\n", " function _(t,n,r){n.exports=function(t,n,r){var o=t*n;return r/Math.sqrt(1-o*o)}},\n", " function _(t,n,a){var r=2*Math.PI,o=t(147);n.exports=function(t){return Math.abs(t)<=3.14159265359?t:t-o(t)*r}},\n", " function _(n,t,o){t.exports=function(n){return n<0?-1:1}},\n", " function _(t,a,n){var r=Math.PI/2;a.exports=function(t,a,n){var o=t*n,h=.5*t;return o=Math.pow((1-o)/(1+o),h),Math.tan(.5*(r-a))/o}},\n", " function _(a,t,n){var r=Math.PI/2;t.exports=function(a,t){for(var n,h,M=.5*a,o=r-2*Math.atan(t),e=0;e<=15;e++)if(n=a*Math.sin(o),o+=h=r-2*Math.atan(t*Math.pow((1-n)/(1+n),M))-o,Math.abs(h)<=1e-10)return o;return-9999}},\n", " function _(n,i,t){function e(n){return n}t.init=function(){},t.forward=e,t.inverse=e,t.names=[\"longlat\",\"identity\"]},\n", " function _(r,e,t){var 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p=1,u=2,r=4,_=5,d=484813681109536e-20;m.exports=function(a,m,t,s,e,n){var o={};return o.datum_type=r,a&&\"none\"===a&&(o.datum_type=_),m&&(o.datum_params=m.map(parseFloat),0===o.datum_params[0]&&0===o.datum_params[1]&&0===o.datum_params[2]||(o.datum_type=p),o.datum_params.length>3&&(0===o.datum_params[3]&&0===o.datum_params[4]&&0===o.datum_params[5]&&0===o.datum_params[6]||(o.datum_type=u,o.datum_params[3]*=d,o.datum_params[4]*=d,o.datum_params[5]*=d,o.datum_params[6]=o.datum_params[6]/1e6+1))),o.a=t,o.b=s,o.es=e,o.ep2=n,o}},\n", " function _(t,e,r){var m=.017453292519943295,a=57.29577951308232,o=1,u=2,n=t(156),d=t(158),y=t(134),_=t(159);e.exports=function t(e,r,x){var i;return Array.isArray(x)&&(x=_(x)),e.datum&&r.datum&&function(t,e){return(t.datum.datum_type===o||t.datum.datum_type===u)&&\"WGS84\"!==e.datumCode||(e.datum.datum_type===o||e.datum.datum_type===u)&&\"WGS84\"!==t.datumCode}(e,r)&&(x=t(e,i=new y(\"WGS84\"),x),e=i),\"enu\"!==e.axis&&(x=d(e,!1,x)),\"longlat\"===e.projName?x={x:x.x*m,y:x.y*m}:(e.to_meter&&(x={x:x.x*e.to_meter,y:x.y*e.to_meter}),x=e.inverse(x)),e.from_greenwich&&(x.x+=e.from_greenwich),x=n(e.datum,r.datum,x),r.from_greenwich&&(x={x:x.x-r.grom_greenwich,y:x.y}),\"longlat\"===r.projName?x={x:x.x*a,y:x.y*a}:(x=r.forward(x),r.to_meter&&(x={x:x.x/r.to_meter,y:x.y/r.to_meter})),\"enu\"!==r.axis?d(r,!0,x):x}},\n", " function _(t,e,a){var u=1,m=2,o=t(157);function c(t){return t===u||t===m}e.exports=function(t,e,a){return o.compareDatums(t,e)?a:5===t.datum_type||5===e.datum_type?a:t.es!==e.es||t.a!==e.a||c(t.datum_type)||c(e.datum_type)?(a=o.geodeticToGeocentric(a,t.es,t.a),c(t.datum_type)&&(a=o.geocentricToWgs84(a,t.datum_type,t.datum_params)),c(e.datum_type)&&(a=o.geocentricFromWgs84(a,e.datum_type,e.datum_params)),o.geocentricToGeodetic(a,e.es,e.a,e.b)):a}},\n", " function _(a,t,r){var m=Math.PI/2;r.compareDatums=function(a,t){return a.datum_type===t.datum_type&&(!(a.a!==t.a||Math.abs(this.es-t.es)>5e-11)&&(1===a.datum_type?this.datum_params[0]===t.datum_params[0]&&a.datum_params[1]===t.datum_params[1]&&a.datum_params[2]===t.datum_params[2]:2!==a.datum_type||a.datum_params[0]===t.datum_params[0]&&a.datum_params[1]===t.datum_params[1]&&a.datum_params[2]===t.datum_params[2]&&a.datum_params[3]===t.datum_params[3]&&a.datum_params[4]===t.datum_params[4]&&a.datum_params[5]===t.datum_params[5]&&a.datum_params[6]===t.datum_params[6]))},r.geodeticToGeocentric=function(a,t,r){var s,u,e,n,d=a.x,i=a.y,p=a.z?a.z:0;if(i<-m&&i>-1.001*m)i=-m;else if(i>m&&i<1.001*m)i=m;else if(i<-m||i>m)return null;return d>Math.PI&&(d-=2*Math.PI),u=Math.sin(i),n=Math.cos(i),e=u*u,{x:((s=r/Math.sqrt(1-t*e))+p)*n*Math.cos(d),y:(s+p)*n*Math.sin(d),z:(s*(1-t)+p)*u}},r.geocentricToGeodetic=function(a,t,r,s){var u,e,n,d,i,p,_,h,o,y,c,z,M,x,f,g=a.x,l=a.y,q=a.z?a.z:0;if(u=Math.sqrt(g*g+l*l),e=Math.sqrt(g*g+l*l+q*q),u/r<1e-12){if(x=0,e/r<1e-12)return m,f=-s,{x:a.x,y:a.y,z:a.z}}else x=Math.atan2(l,g);n=q/e,h=(d=u/e)*(1-t)*(i=1/Math.sqrt(1-t*(2-t)*d*d)),o=n*i,M=0;do{M++,p=t*(_=r/Math.sqrt(1-t*o*o))/(_+(f=u*h+q*o-_*(1-t*o*o))),z=(c=n*(i=1/Math.sqrt(1-p*(2-p)*d*d)))*h-(y=d*(1-p)*i)*o,h=y,o=c}while(z*z>1e-24&&M<30);return{x:x,y:Math.atan(c/Math.abs(y)),z:f}},r.geocentricToWgs84=function(a,t,r){if(1===t)return{x:a.x+r[0],y:a.y+r[1],z:a.z+r[2]};if(2===t){var m=r[0],s=r[1],u=r[2],e=r[3],n=r[4],d=r[5],i=r[6];return{x:i*(a.x-d*a.y+n*a.z)+m,y:i*(d*a.x+a.y-e*a.z)+s,z:i*(-n*a.x+e*a.y+a.z)+u}}},r.geocentricFromWgs84=function(a,t,r){if(1===t)return{x:a.x-r[0],y:a.y-r[1],z:a.z-r[2]};if(2===t){var m=r[0],s=r[1],u=r[2],e=r[3],n=r[4],d=r[5],i=r[6],p=(a.x-m)/i,_=(a.y-s)/i,h=(a.z-u)/i;return{x:p+d*_-n*h,y:-d*p+_+e*h,z:n*p-e*_+h}}}},\n", " function _(e,a,r){a.exports=function(e,a,r){var s,c,i,n=r.x,o=r.y,t=r.z||0,u={};for(i=0;i<3;i++)if(!a||2!==i||void 0!==r.z)switch(0===i?(s=n,c=\"x\"):1===i?(s=o,c=\"y\"):(s=t,c=\"z\"),e.axis[i]){case\"e\":u[c]=s;break;case\"w\":u[c]=-s;break;case\"n\":u[c]=s;break;case\"s\":u[c]=-s;break;case\"u\":void 0!==r[c]&&(u.z=s);break;case\"d\":void 0!==r[c]&&(u.z=-s);break;default:return null}return u}},\n", " function _(n,t,e){t.exports=function(n){var t={x:n[0],y:n[1]};return n.length>2&&(t.z=n[2]),n.length>3&&(t.m=n[3]),t}},\n", " function _(e,t,n){var i=e(113),r=e(161),o=e(165),l=e(121),u=e(166),_=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return i.__extends(t,e),t.prototype.initialize=function(){e.prototype.initialize.call(this),this.visuals=new o.Visuals(this.model),this._has_finished=!0},Object.defineProperty(t.prototype,\"plot_view\",{get:function(){return this.parent},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"plot_model\",{get:function(){return this.parent.model},enumerable:!0,configurable:!0}),t.prototype.request_render=function(){this.plot_view.request_render()},t.prototype.map_to_screen=function(e,t){return this.plot_view.map_to_screen(e,t,this.model.x_range_name,this.model.y_range_name)},Object.defineProperty(t.prototype,\"needs_clip\",{get:function(){return!1},enumerable:!0,configurable:!0}),t.prototype.notify_finished=function(){this.plot_view.notify_finished()},Object.defineProperty(t.prototype,\"has_webgl\",{get:function(){return!1},enumerable:!0,configurable:!0}),t}(r.DOMView);n.RendererView=_,_.__name__=\"RendererView\";var p=function(e){function t(t){return e.call(this,t)||this}return i.__extends(t,e),t.init_Renderer=function(){this.define({level:[l.RenderLevel],visible:[l.Boolean,!0]})},t}(u.Model);n.Renderer=p,p.__name__=\"Renderer\",p.init_Renderer()},\n", " function _(e,t,n){var i=e(113),r=e(162),o=e(163),s=e(164),p=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return i.__extends(t,e),t.prototype.initialize=function(){e.prototype.initialize.call(this),this._has_finished=!1,this.el=this._createElement()},t.prototype.remove=function(){o.removeElement(this.el),e.prototype.remove.call(this)},t.prototype.css_classes=function(){return[]},t.prototype.cursor=function(e,t){return null},t.prototype.render=function(){},t.prototype.renderTo=function(e){e.appendChild(this.el),this.render()},t.prototype.has_finished=function(){return this._has_finished},Object.defineProperty(t.prototype,\"_root_element\",{get:function(){return o.parent(this.el,\".\"+s.bk_root)||document.body},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"is_idle\",{get:function(){return this.has_finished()},enumerable:!0,configurable:!0}),t.prototype._createElement=function(){return o.createElement(this.tagName,{class:this.css_classes()})},t}(r.View);n.DOMView=p,p.__name__=\"DOMView\",p.prototype.tagName=\"div\"},\n", " function _(t,e,n){var o=t(113),i=t(116),r=t(109),a=t(127),s=function(t){function e(e){var n=t.call(this)||this;if(n.removed=new i.Signal0(n,\"removed\"),null==e.model)throw new Error(\"model of a view wasn't configured\");return n.model=e.model,n._parent=e.parent,n.id=e.id||a.uniqueId(),n.initialize(),!1!==e.connect_signals&&n.connect_signals(),n}return o.__extends(e,t),e.prototype.initialize=function(){},e.prototype.remove=function(){this._parent=void 0,this.disconnect_signals(),this.removed.emit()},e.prototype.toString=function(){return this.model.type+\"View(\"+this.id+\")\"},e.prototype.serializable_state=function(){return{type:this.model.type}},Object.defineProperty(e.prototype,\"parent\",{get:function(){if(void 0!==this._parent)return this._parent;throw new Error(\"parent of a view wasn't configured\")},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"is_root\",{get:function(){return null===this.parent},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"root\",{get:function(){return this.is_root?this:this.parent.root},enumerable:!0,configurable:!0}),e.prototype.assert_root=function(){if(!this.is_root)throw new Error(this.toString()+\" is not a root layout\")},e.prototype.connect_signals=function(){},e.prototype.disconnect_signals=function(){i.Signal.disconnectReceiver(this)},e.prototype.on_change=function(t,e){for(var n=0,o=r.isArray(t)?t:[t];n\":case\"vertical_wave\":_.moveTo(n,0),_.lineTo(3*n,c),_.lineTo(n,l),_.stroke();break;case\"*\":case\"criss_cross\":h(_,l),o(_,l,c),s(_,l,c)}return r}var r=function(){function e(e,t){void 0===t&&(t=\"\"),this.obj=e,this.prefix=t,this.cache={};for(var a=0,i=this.attrs;a0){var n=t[l];return null==n&&(t[l]=n=new e(l,o)),n}throw new TypeError(\"Logger.get() expects a non-empty string name and an optional log-level\")},Object.defineProperty(e.prototype,\"level\",{get:function(){return this.get_level()},enumerable:!0,configurable:!0}),e.prototype.get_level=function(){return this._log_level},e.prototype.set_level=function(l){if(l instanceof r)this._log_level=l;else{if(!n.isString(l)||null==e.log_levels[l])throw new Error(\"Logger.set_level() expects a log-level object or a string name of a log-level\");this._log_level=e.log_levels[l]}var o=\"[\"+this._name+\"]\";for(var t in e.log_levels){e.log_levels[t].levele?a.slice(-e):a}if(l.isTypedArray(t)){var i=t.length+n.length;if(null!=e&&i>e){var r=i-e,o=t.length;a=void 0;t.length0?this.selected_glyphs[0]:null},enumerable:!0,configurable:!0}),e.prototype.add_to_selected_glyphs=function(i){this.selected_glyphs.push(i)},e.prototype.update=function(i,e,t){this.final=e,t?this.update_through_union(i):(this.indices=i.indices,this.line_indices=i.line_indices,this.selected_glyphs=i.selected_glyphs,this.get_view=i.get_view,this.multiline_indices=i.multiline_indices,this.image_indices=i.image_indices)},e.prototype.clear=function(){this.final=!0,this.indices=[],this.line_indices=[],this.multiline_indices={},this.get_view=function(){return null},this.selected_glyphs=[]},e.prototype.is_empty=function(){return 0==this.indices.length&&0==this.line_indices.length&&0==this.image_indices.length},e.prototype.update_through_union=function(i){this.indices=l.union(i.indices,this.indices),this.selected_glyphs=l.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=l.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=h.merge(i.multiline_indices,this.multiline_indices)},e.prototype.update_through_intersection=function(i){this.indices=l.intersection(i.indices,this.indices),this.selected_glyphs=l.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=l.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=h.merge(i.multiline_indices,this.multiline_indices)},e}(s.Model);t.Selection=d,d.__name__=\"Selection\",d.init_Selection()},\n", " function _(e,t,i){var n=e(113),o=e(115),r=e(173),s=e(175),c=e(192),l=e(121),p=function(e){function t(t){var i=e.call(this,t)||this;return i.inspectors={},i}return n.__extends(t,e),t.init_SelectionManager=function(){this.internal({source:[l.Any]})},t.prototype.select=function(e,t,i,n){void 0===n&&(n=!1);for(var o=[],r=[],l=0,p=e;l0){d=this.source.selection_policy.hit_test(t,o);a=a||this.source.selection_policy.do_selection(d,this.source,i,n)}return a},t.prototype.inspect=function(e,t){var i=!1;if(e instanceof s.GlyphRendererView){if(null!=(o=e.hit_test(t))){i=!o.is_empty();var n=this.get_or_create_inspector(e.model);n.update(o,!0,!1),this.source.setv({inspected:n},{silent:!0}),this.source.inspect.emit([e,{geometry:t}])}}else if(e instanceof c.GraphRendererView){var o=e.model.inspection_policy.hit_test(t,e);i=i||e.model.inspection_policy.do_inspection(o,t,e,!1,!1)}return i},t.prototype.clear=function(e){this.source.selected.clear(),null!=e&&this.get_or_create_inspector(e.model).clear()},t.prototype.get_or_create_inspector=function(e){return null==this.inspectors[e.id]&&(this.inspectors[e.id]=new r.Selection),this.inspectors[e.id]},t}(o.HasProps);i.SelectionManager=p,p.__name__=\"SelectionManager\",p.init_SelectionManager()},\n", " function _(e,t,i){var n=e(113),l=e(176),s=e(177),h=e(187),r=e(188),o=e(190),a=e(191),d=e(167),c=e(121),_=e(114),p=e(110),u=e(125),g=e(184),y={fill:{},line:{}},m={fill:{fill_alpha:.3,fill_color:\"grey\"},line:{line_alpha:.3,line_color:\"grey\"}},v={fill:{fill_alpha:.2},line:{}},f=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return n.__extends(t,e),t.prototype.initialize=function(){e.prototype.initialize.call(this);var t=this.model.glyph,i=p.includes(t.mixins,\"fill\"),n=p.includes(t.mixins,\"line\"),l=u.clone(t.attributes);function s(e){var s=u.clone(l);return i&&u.extend(s,e.fill),n&&u.extend(s,e.line),new t.constructor(s)}delete l.id,this.glyph=this.build_glyph_view(t);var h=this.model.selection_glyph;null==h?h=s({fill:{},line:{}}):\"auto\"===h&&(h=s(y)),this.selection_glyph=this.build_glyph_view(h);var r=this.model.nonselection_glyph;null==r?r=s({fill:{},line:{}}):\"auto\"===r&&(r=s(v)),this.nonselection_glyph=this.build_glyph_view(r);var o=this.model.hover_glyph;null!=o&&(this.hover_glyph=this.build_glyph_view(o));var a=this.model.muted_glyph;null!=a&&(this.muted_glyph=this.build_glyph_view(a));var d=s(m);this.decimated_glyph=this.build_glyph_view(d),this.xscale=this.plot_view.frame.xscales[this.model.x_range_name],this.yscale=this.plot_view.frame.yscales[this.model.y_range_name],this.set_data(!1)},t.prototype.build_glyph_view=function(e){return new e.default_view({model:e,parent:this})},t.prototype.connect_signals=function(){var t=this;e.prototype.connect_signals.call(this),this.connect(this.model.change,function(){return t.request_render()}),this.connect(this.model.glyph.change,function(){return t.set_data()}),this.connect(this.model.data_source.change,function(){return t.set_data()}),this.connect(this.model.data_source.streaming,function(){return t.set_data()}),this.connect(this.model.data_source.patching,function(e){return t.set_data(!0,e)}),this.connect(this.model.data_source.selected.change,function(){return t.request_render()}),this.connect(this.model.data_source._select,function(){return t.request_render()}),null!=this.hover_glyph&&this.connect(this.model.data_source.inspect,function(){return t.request_render()}),this.connect(this.model.properties.view.change,function(){return t.set_data()}),this.connect(this.model.view.change,function(){return t.set_data()}),this.connect(this.model.properties.visible.change,function(){return t.plot_view.update_dataranges()});var i=this.plot_view.frame,n=i.x_ranges,l=i.y_ranges;for(var s in n){(h=n[s])instanceof g.FactorRange&&this.connect(h.change,function(){return t.set_data()})}for(var s in l){var h;(h=l[s])instanceof g.FactorRange&&this.connect(h.change,function(){return t.set_data()})}this.connect(this.model.glyph.transformchange,function(){return t.set_data()})},t.prototype.have_selection_glyphs=function(){return null!=this.selection_glyph&&null!=this.nonselection_glyph},t.prototype.set_data=function(e,t){void 0===e&&(e=!0),void 0===t&&(t=null);var i=Date.now(),n=this.model.data_source;this.all_indices=this.model.view.indices,this.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0}),this.glyph.set_data(n,this.all_indices,t),this.glyph.set_visuals(n),this.decimated_glyph.set_visuals(n),this.have_selection_glyphs()&&(this.selection_glyph.set_visuals(n),this.nonselection_glyph.set_visuals(n)),null!=this.hover_glyph&&this.hover_glyph.set_visuals(n),null!=this.muted_glyph&&this.muted_glyph.set_visuals(n);var l=this.plot_model.lod_factor;this.decimated=[];for(var s=0,h=Math.floor(this.all_indices.length/l);s0?w[\"1d\"].indices:_.map(Object.keys(w[\"2d\"].indices),function(e){return parseInt(e)})),x=_.filter(a,function(t){return b.has(e.all_indices[t])}),D=this.plot_model.lod_threshold;null!=this.model.document&&this.model.document.interactive_duration()>0&&!i&&null!=D&&this.all_indices.length>D?(a=this.decimated,m=this.decimated_glyph,v=this.decimated_glyph,f=this.selection_glyph):(m=this.model.muted&&null!=this.muted_glyph?this.muted_glyph:this.glyph,v=this.nonselection_glyph,f=this.selection_glyph),null!=this.hover_glyph&&x.length&&(a=p.difference(a,x));var R,V=null;if(g.length&&this.have_selection_glyphs()){for(var G=Date.now(),A={},I=0,q=g;I1&&(t.stroke(),r=!1)}r?t.lineTo(n[l],s[l]):(t.beginPath(),t.moveTo(n[l],s[l]),r=!0),_=l}r&&t.stroke()},e.prototype._hit_point=function(t){for(var e=this,i=_.create_empty_hit_test_result(),n={x:t.sx,y:t.sy},s=9999,r=Math.max(2,this.visuals.line.line_width.value()/2),o=0,h=this.sx.length-1;o0){this.index=new e(n.length);for(var t=0,i=n;to&&(e=(t=[o,e])[0],o=t[1]),r>a&&(r=(i=[a,r])[0],a=i[1]),{x0:e,y0:r,x1:o,y1:a}},Object.defineProperty(n.prototype,\"bbox\",{get:function(){if(null==this.index)return r.empty();var n=this.index;return{x0:n.minX,y0:n.minY,x1:n.maxX,y1:n.maxY}},enumerable:!0,configurable:!0}),n.prototype.search=function(n){var t=this;if(null==this.index)return[];var i=this._normalize(n),e=i.x0,r=i.y0,o=i.x1,a=i.y1;return this.index.search(e,r,o,a).map(function(n){return t.points[n]})},n.prototype.indices=function(n){return this.search(n).map(function(n){return n.i})},n}();i.SpatialIndex=o,o.__name__=\"SpatialIndex\"},\n", " function _(t,s,i){var e,h;e=this,h=function(){\"use strict\";var t=function(){this.ids=[],this.values=[],this.length=0};t.prototype.clear=function(){this.length=this.ids.length=this.values.length=0},t.prototype.push=function(t,s){this.ids.push(t),this.values.push(s);for(var i=this.length++;i>0;){var e=i-1>>1,h=this.values[e];if(s>=h)break;this.ids[i]=this.ids[e],this.values[i]=h,i=e}this.ids[i]=t,this.values[i]=s},t.prototype.pop=function(){if(0!==this.length){var t=this.ids[0];if(this.length--,this.length>0){for(var s=this.ids[0]=this.ids[this.length],i=this.values[0]=this.values[this.length],e=this.length>>1,h=0;h=i)break;this.ids[h]=o,this.values[h]=a,h=r}this.ids[h]=s,this.values[h]=i}return this.ids.pop(),this.values.pop(),t}},t.prototype.peek=function(){return this.ids[0]},t.prototype.peekValue=function(){return this.values[0]};var s=[Int8Array,Uint8Array,Uint8ClampedArray,Int16Array,Uint16Array,Int32Array,Uint32Array,Float32Array,Float64Array],i=function(i,e,h,r){if(void 0===e&&(e=16),void 0===h&&(h=Float64Array),void 0===i)throw new Error(\"Missing required argument: numItems.\");if(isNaN(i)||i<=0)throw new Error(\"Unpexpected numItems value: \"+i+\".\");this.numItems=+i,this.nodeSize=Math.min(Math.max(+e,2),65535);var n=i,o=n;this._levelBounds=[4*n];do{o+=n=Math.ceil(n/this.nodeSize),this._levelBounds.push(4*o)}while(1!==n);this.ArrayType=h||Float64Array,this.IndexArrayType=o<16384?Uint16Array:Uint32Array;var a=s.indexOf(this.ArrayType),u=4*o*this.ArrayType.BYTES_PER_ELEMENT;if(a<0)throw new Error(\"Unexpected typed array class: \"+h+\".\");r&&r instanceof ArrayBuffer?(this.data=r,this._boxes=new this.ArrayType(this.data,8,4*o),this._indices=new this.IndexArrayType(this.data,8+u,o),this._pos=4*o,this.minX=this._boxes[this._pos-4],this.minY=this._boxes[this._pos-3],this.maxX=this._boxes[this._pos-2],this.maxY=this._boxes[this._pos-1]):(this.data=new ArrayBuffer(8+u+o*this.IndexArrayType.BYTES_PER_ELEMENT),this._boxes=new this.ArrayType(this.data,8,4*o),this._indices=new this.IndexArrayType(this.data,8+u,o),this._pos=0,this.minX=1/0,this.minY=1/0,this.maxX=-1/0,this.maxY=-1/0,new Uint8Array(this.data,0,2).set([251,48+a]),new Uint16Array(this.data,2,1)[0]=e,new Uint32Array(this.data,4,1)[0]=i),this._queue=new t};function e(t,s,i){return t>1;s[h]>t?e=h:i=h+1}return s[i]}function r(t,s,i,e,h){var r=t[e];t[e]=t[h],t[h]=r;var n=4*e,o=4*h,a=s[n],u=s[n+1],p=s[n+2],d=s[n+3];s[n]=s[o],s[n+1]=s[o+1],s[n+2]=s[o+2],s[n+3]=s[o+3],s[o]=a,s[o+1]=u,s[o+2]=p,s[o+3]=d;var _=i[e];i[e]=i[h],i[h]=_}function n(t,s){var i=t^s,e=65535^i,h=65535^(t|s),r=t&(65535^s),n=i|e>>1,o=i>>1^i,a=h>>1^e&r>>1^h,u=i&h>>1^r>>1^r;o=(i=n)&(e=o)>>2^e&(i^e)>>2,a^=i&(h=a)>>2^e&(r=u)>>2,u^=e&h>>2^(i^e)&r>>2,o=(i=n=i&i>>2^e&e>>2)&(e=o)>>4^e&(i^e)>>4,a^=i&(h=a)>>4^e&(r=u)>>4,u^=e&h>>4^(i^e)&r>>4,a^=(i=n=i&i>>4^e&e>>4)&(h=a)>>8^(e=o)&(r=u)>>8;var p=t^s,d=(e=(u^=e&h>>8^(i^e)&r>>8)^u>>1)|65535^(p|(i=a^a>>1));return((d=1431655765&((d=858993459&((d=252645135&((d=16711935&(d|d<<8))|d<<4))|d<<2))|d<<1))<<1|(p=1431655765&((p=858993459&((p=252645135&((p=16711935&(p|p<<8))|p<<4))|p<<2))|p<<1)))>>>0}return i.from=function(t){if(!(t instanceof ArrayBuffer))throw new Error(\"Data must be an instance of ArrayBuffer.\");var e=new Uint8Array(t,0,2),h=e[0],r=e[1];if(251!==h)throw new Error(\"Data does not appear to be in a Flatbush format.\");if(r>>4!=3)throw new Error(\"Got v\"+(r>>4)+\" data when expected v3.\");var n=new Uint16Array(t,2,1)[0],o=new Uint32Array(t,4,1)[0];return new i(o,n,s[15&r],t)},i.prototype.add=function(t,s,i,e){var h=this._pos>>2;this._indices[h]=h,this._boxes[this._pos++]=t,this._boxes[this._pos++]=s,this._boxes[this._pos++]=i,this._boxes[this._pos++]=e,tthis.maxX&&(this.maxX=i),e>this.maxY&&(this.maxY=e)},i.prototype.finish=function(){if(this._pos>>2!==this.numItems)throw new Error(\"Added \"+(this._pos>>2)+\" items when expected \"+this.numItems+\".\");for(var t=this.maxX-this.minX,s=this.maxY-this.minY,i=new Uint32Array(this.numItems),e=0;e=n)return;var o=s[h+n>>1];var a=h-1;var u=n+1;for(;;){do{a++}while(s[a]o);if(a>=u)break;r(s,i,e,a,u)}t(s,i,e,h,u);t(s,i,e,u+1,n)}(i,this._boxes,this._indices,0,this.numItems-1);for(var f=0,l=0;fm&&(m=E),I>c&&(c=I)}this._indices[this._pos>>2]=b,this._boxes[this._pos++]=x,this._boxes[this._pos++]=y,this._boxes[this._pos++]=m,this._boxes[this._pos++]=c}},i.prototype.search=function(t,s,i,e,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");for(var r=this._boxes.length-4,n=this._levelBounds.length-1,o=[],a=[];void 0!==r;){for(var u=Math.min(r+4*this.nodeSize,this._levelBounds[n]),p=r;p>2];ithis._boxes[p+2]||s>this._boxes[p+3]||(r<4*this.numItems?(void 0===h||h(d))&&a.push(d):(o.push(d),o.push(n-1))))}n=o.pop(),r=o.pop()}return a},i.prototype.neighbors=function(t,s,i,r,n){if(void 0===i&&(i=1/0),void 0===r&&(r=1/0),this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");for(var o=this._boxes.length-4,a=this._queue,u=[],p=r*r;void 0!==o;){for(var d=Math.min(o+4*this.nodeSize,h(o,this._levelBounds)),_=o;_>2],l=e(t,this._boxes[_],this._boxes[_+2]),v=e(s,this._boxes[_+1],this._boxes[_+3]),x=l*l+v*v;o<4*this.numItems?(void 0===n||n(f))&&a.push(-f-1,x):a.push(f,x)}for(;a.length&&a.peek()<0;){if(a.peekValue()>p)return a.clear(),u;if(u.push(-a.pop()-1),u.length===i)return a.clear(),u}o=a.pop()}return a.clear(),u},i},\"object\"==typeof i&&void 0!==s?s.exports=h():\"function\"==typeof define&&define.amd?define(h):(e=e||self).Flatbush=h()},\n", " function _(t,e,r){var i=Math.min,n=Math.max;r.empty=function(){return{x0:1/0,y0:1/0,x1:-1/0,y1:-1/0}},r.positive_x=function(){return{x0:Number.MIN_VALUE,y0:-1/0,x1:1/0,y1:1/0}},r.positive_y=function(){return{x0:-1/0,y0:Number.MIN_VALUE,x1:1/0,y1:1/0}},r.union=function(t,e){return{x0:i(t.x0,e.x0),x1:n(t.x1,e.x1),y0:i(t.y0,e.y0),y1:n(t.y1,e.y1)}};var o=function(){function t(t){if(null==t)this.x0=0,this.y0=0,this.x1=0,this.y1=0;else if(\"x0\"in t){var e=t.x0,r=t.y0,i=t.x1,n=t.y1;if(!(e<=i&&r<=n))throw new Error(\"invalid bbox {x0: \"+e+\", y0: \"+r+\", x1: \"+i+\", y1: \"+n+\"}\");this.x0=e,this.y0=r,this.x1=i,this.y1=n}else if(\"x\"in t){var o=t.x,h=t.y,u=t.width,y=t.height;if(!(u>=0&&y>=0))throw new Error(\"invalid bbox {x: \"+o+\", y: \"+h+\", width: \"+u+\", height: \"+y+\"}\");this.x0=o,this.y0=h,this.x1=o+u,this.y1=h+y}else{var f=void 0,s=void 0,c=void 0,p=void 0;if(\"width\"in t)if(\"left\"in t)s=(f=t.left)+t.width;else if(\"right\"in t)f=(s=t.right)-t.width;else{var b=t.width/2;f=t.hcenter-b,s=t.hcenter+b}else f=t.left,s=t.right;if(\"height\"in t)if(\"top\"in t)p=(c=t.top)+t.height;else if(\"bottom\"in t)c=(p=t.bottom)-t.height;else{var a=t.height/2;c=t.vcenter-a,p=t.vcenter+a}else c=t.top,p=t.bottom;if(!(f<=s&&c<=p))throw new Error(\"invalid bbox {left: \"+f+\", top: \"+c+\", right: \"+s+\", bottom: \"+p+\"}\");this.x0=f,this.y0=c,this.x1=s,this.y1=p}}return t.prototype.toString=function(){return\"BBox({left: \"+this.left+\", top: \"+this.top+\", width: \"+this.width+\", height: \"+this.height+\"})\"},Object.defineProperty(t.prototype,\"left\",{get:function(){return this.x0},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"top\",{get:function(){return this.y0},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"right\",{get:function(){return this.x1},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"bottom\",{get:function(){return this.y1},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"p0\",{get:function(){return[this.x0,this.y0]},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"p1\",{get:function(){return[this.x1,this.y1]},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"x\",{get:function(){return this.x0},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"y\",{get:function(){return this.y0},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"width\",{get:function(){return this.x1-this.x0},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"height\",{get:function(){return this.y1-this.y0},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"rect\",{get:function(){return{x0:this.x0,y0:this.y0,x1:this.x1,y1:this.y1}},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"box\",{get:function(){return{x:this.x,y:this.y,width:this.width,height:this.height}},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"h_range\",{get:function(){return{start:this.x0,end:this.x1}},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"v_range\",{get:function(){return{start:this.y0,end:this.y1}},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"ranges\",{get:function(){return[this.h_range,this.v_range]},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"aspect\",{get:function(){return this.width/this.height},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"hcenter\",{get:function(){return(this.left+this.right)/2},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"vcenter\",{get:function(){return(this.top+this.bottom)/2},enumerable:!0,configurable:!0}),t.prototype.contains=function(t,e){return t>=this.x0&&t<=this.x1&&e>=this.y0&&e<=this.y1},t.prototype.clip=function(t,e){return tthis.x1&&(t=this.x1),ethis.y1&&(e=this.y1),[t,e]},t.prototype.union=function(e){return new t({x0:i(this.x0,e.x0),y0:i(this.y0,e.y0),x1:n(this.x1,e.x1),y1:n(this.y1,e.y1)})},t.prototype.equals=function(t){return this.x0==t.x0&&this.y0==t.y0&&this.x1==t.x1&&this.y1==t.y1},Object.defineProperty(t.prototype,\"xview\",{get:function(){var t=this;return{compute:function(e){return t.left+e},v_compute:function(e){for(var r=new Float64Array(e.length),i=t.left,n=0;nt.x1&&(t.x1=n.x1)}for(var r=0,s=this.index.search(o.positive_y());rt.y1&&(t.y1=a.y1)}return this._bounds(t)},i.prototype.get_anchor_point=function(t,e,i){var n=i[0],r=i[1];switch(t){case\"center\":return{x:this.scenterx(e,n,r),y:this.scentery(e,n,r)};default:return null}},i.prototype.sdist=function(t,e,i,n,r){var s,o;void 0===n&&(n=\"edge\"),void 0===r&&(r=!1);var a=e.length;if(\"center\"==n){var h=c.map(i,function(t){return t/2});s=new Float64Array(a);for(var _=0;_1?r:{x:n.x+i*(r.x-n.x),y:n.y+i*(r.y-n.y)})}r.point_in_poly=function(t,n,r,e){for(var i=!1,o=r[r.length-1],u=e[e.length-1],a=0;a0&&_<1&&h>0&&h<1,x:t+_*(r-t),y:n+_*(e-n)}}},\n", " function _(t,n,r){var e=t(113),i=t(185),a=t(121),s=t(114),o=t(110),p=t(109);function u(t,n,r){void 0===r&&(r=0);for(var e={},i=0;ithis.end},enumerable:!0,configurable:!0}),n}(a.Model);e.Range=r,r.__name__=\"Range\",r.init_Range()},\n", " function _(e,t,i){var n=e(183);i.generic_line_legend=function(e,t,i,n){var r=i.x0,a=i.x1,l=i.y0,c=i.y1;t.save(),t.beginPath(),t.moveTo(r,(l+c)/2),t.lineTo(a,(l+c)/2),e.line.doit&&(e.line.set_vectorize(t,n),t.stroke()),t.restore()},i.generic_area_legend=function(e,t,i,n){var r=i.x0,a=i.x1,l=i.y0,c=i.y1,o=.1*Math.abs(a-r),s=.1*Math.abs(c-l),_=r+o,v=a-o,h=l+s,x=c-s;e.fill.doit&&(e.fill.set_vectorize(t,n),t.fillRect(_,h,v-_,x-h)),null!=e.hatch&&e.hatch.doit&&(e.hatch.set_vectorize(t,n),t.fillRect(_,h,v-_,x-h)),e.line&&e.line.doit&&(t.beginPath(),t.rect(_,h,v-_,x-h),e.line.set_vectorize(t,n),t.stroke())},i.line_interpolation=function(e,t,i,r,a,l){var c,o,s,_,v,h,x,y,f,d,g=t.sx,m=t.sy;\"point\"==t.type?(f=(c=e.yscale.r_invert(m-1,m+1))[0],d=c[1],x=(o=e.xscale.r_invert(g-1,g+1))[0],y=o[1]):\"v\"==t.direction?(f=(s=e.yscale.r_invert(m,m))[0],d=s[1],x=(_=[Math.min(i-1,a-1),Math.max(i+1,a+1)])[0],y=_[1]):(x=(v=e.xscale.r_invert(g,g))[0],y=v[1],f=(h=[Math.min(r-1,l-1),Math.max(r+1,l+1)])[0],d=h[1]);var u=n.check_2_segments_intersect(x,f,y,d,i,r,a,l);return[u.x,u.y]}},\n", " function _(t,i,e){var n=t(113),s=t(178),l=t(186),o=t(183),r=function(t){function i(){return null!==t&&t.apply(this,arguments)||this}return n.__extends(i,t),i.prototype._inner_loop=function(t,i,e,n,s){for(var l=0,o=i;l=0;s--)t.lineTo(i[s],n[s]);t.closePath(),r.call(t)},e.prototype._render=function(t,e,i){var n=this,r=i.sx1,s=i.sx2,o=i.sy;this.visuals.fill.doit&&(this.visuals.fill.set_value(t),this._inner(t,r,s,o,t.fill)),this.visuals.hatch.doit2(t,0,function(){return n._inner(t,r,s,o,t.fill)},function(){return n.renderer.request_render()})},e.prototype._hit_point=function(t){for(var e=this,i=o.create_empty_hit_test_result(),n=this.sy.length,r=new Float64Array(2*n),s=new Float64Array(2*n),a=0,h=n;a=0;s--)t.lineTo(e[s],n[s]);t.closePath(),r.call(t)},e.prototype._render=function(t,e,i){var n=this,r=i.sx,s=i.sy1,o=i.sy2;this.visuals.fill.doit&&(this.visuals.fill.set_value(t),this._inner(t,r,s,o,t.fill)),this.visuals.hatch.doit2(t,0,function(){return n._inner(t,r,s,o,t.fill)},function(){return n.renderer.request_render()})},e.prototype.scenterx=function(t){return this.sx[t]},e.prototype.scentery=function(t){return(this.sy1[t]+this.sy2[t])/2},e.prototype._hit_point=function(t){for(var e=this,i=o.create_empty_hit_test_result(),n=this.sx.length,r=new Float64Array(2*n),s=new Float64Array(2*n),a=0,h=n;a0?this.indices=r.intersection.apply(this,n):this.source instanceof u.ColumnarDataSource&&(this.indices=this.source.get_indices()),this.indices_map_to_subset()},n.prototype.indices_map_to_subset=function(){this.indices_map={};for(var i=0;i0){for(var l=n[0],o=0,_=n;o<_.length;o++){var s=_[o];l.update_through_intersection(s)}return l}return null},e}(u);n.IntersectRenderers=i,i.__name__=\"IntersectRenderers\";var l=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return r.__extends(e,t),e.prototype.hit_test=function(t,e){for(var n=[],r=0,u=e;r0){for(var l=n[0],o=0,_=n;o<_.length;o++){var s=_[o];l.update_through_union(s)}return l}return null},e}(u);n.UnionRenderers=l,l.__name__=\"UnionRenderers\"},\n", " function _(r,n,t){var a=r(109),e=r(197);function i(r){for(var n=new Uint8Array(r.buffer,r.byteOffset,2*r.length),t=0,a=n.length;t=0||r.indexOf(\"Trident\")>0||r.indexOf(\"Edge\")>0,e.is_mobile=\"undefined\"!=typeof window&&(\"ontouchstart\"in window||navigator.maxTouchPoints>0),e.is_little_endian=function(){var n=new ArrayBuffer(4),i=new Uint8Array(n);new Uint32Array(n)[1]=168496141;var e=!0;return 10==i[4]&&11==i[5]&&12==i[6]&&13==i[7]&&(e=!1),e}()},\n", " function _(n,t,r){r.concat=function(n){for(var t=[],r=1;r=0;t--)e.lineTo(this._upper_sx[t],this._upper_sy[t]);e.closePath(),this.visuals.fill.doit&&(this.visuals.fill.set_value(e),e.fill()),e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(t=0,i=this._lower_sx.length;tthis.sleft&&tthis.stop&&is||(d[r].push(h[p]),d[a].push(0));for(p=0,f=m.length;ps||(c[r].push(m[p]),c[a].push(0));var g={major:this._format_major_labels(d[r],h)},v={major:[[],[]],minor:[[],[]]};return v.major[r]=i.v_compute(d[r]),v.minor[r]=i.v_compute(c[r]),v.major[a]=d[a],v.minor[a]=c[a],\"vertical\"==this.model.orientation&&(v.major[r]=u.map(v.major[r],function(e){return t-e}),v.minor[r]=u.map(v.minor[r],function(e){return t-e})),{coords:v,labels:g}},e}(r.AnnotationView);i.ColorBarView=g,g.__name__=\"ColorBarView\";var v=function(t){function e(e){return t.call(this,e)||this}return o.__extends(e,t),e.init_ColorBar=function(){this.prototype.default_view=g,this.mixins([\"text:major_label_\",\"text:title_\",\"line:major_tick_\",\"line:minor_tick_\",\"line:border_\",\"line:bar_\",\"fill:background_\"]),this.define({location:[m.Any,\"top_right\"],orientation:[m.Orientation,\"vertical\"],title:[m.String],title_standoff:[m.Number,2],width:[m.Any,\"auto\"],height:[m.Any,\"auto\"],scale_alpha:[m.Number,1],ticker:[m.Instance,function(){return new a.BasicTicker}],formatter:[m.Instance,function(){return new n.BasicTickFormatter}],major_label_overrides:[m.Any,{}],color_mapper:[m.Instance],label_standoff:[m.Number,5],margin:[m.Number,30],padding:[m.Number,10],major_tick_in:[m.Number,5],major_tick_out:[m.Number,0],minor_tick_in:[m.Number,0],minor_tick_out:[m.Number,0]}),this.override({background_fill_color:\"#ffffff\",background_fill_alpha:.95,bar_line_color:null,border_line_color:null,major_label_text_align:\"center\",major_label_text_baseline:\"middle\",major_label_text_font_size:\"8pt\",major_tick_line_color:\"#ffffff\",minor_tick_line_color:null,title_text_font_size:\"10pt\",title_text_font_style:\"italic\"})},e}(r.Annotation);i.ColorBar=v,v.__name__=\"ColorBar\",v.init_ColorBar()},\n", " function _(i,n,c){var e=i(113),t=function(i){function n(n){return i.call(this,n)||this}return e.__extends(n,i),n}(i(205).AdaptiveTicker);c.BasicTicker=t,t.__name__=\"BasicTicker\"},\n", " function _(t,i,a){var e=t(113),n=t(206),s=t(110),r=t(121);var h=function(t){function i(i){return t.call(this,i)||this}return e.__extends(i,t),i.init_AdaptiveTicker=function(){this.define({base:[r.Number,10],mantissas:[r.Array,[1,2,5]],min_interval:[r.Number,0],max_interval:[r.Number]})},i.prototype.initialize=function(){t.prototype.initialize.call(this);var i=s.nth(this.mantissas,-1)/this.base,a=s.nth(this.mantissas,0)*this.base;this.extended_mantissas=e.__spreadArrays([i],this.mantissas,[a]),this.base_factor=0===this.get_min_interval()?1:this.get_min_interval()},i.prototype.get_interval=function(t,i,a){var e,n,r=i-t,h=this.get_ideal_interval(t,i,a),_=Math.floor((e=h/this.base_factor,void 0===(n=this.base)&&(n=Math.E),Math.log(e)/Math.log(n))),o=Math.pow(this.base,_)*this.base_factor,m=this.extended_mantissas,c=m.map(function(t){return Math.abs(a-r/(t*o))});return function(t,i,a){return Math.max(i,Math.min(a,t))}(m[s.argmin(c)]*o,this.get_min_interval(),this.get_max_interval())},i}(n.ContinuousTicker);a.AdaptiveTicker=h,h.__name__=\"AdaptiveTicker\",h.init_AdaptiveTicker()},\n", " function _(t,n,i){var r=t(113),e=t(207),o=t(121),u=t(110),_=t(109),s=function(t){function n(n){return t.call(this,n)||this}return r.__extends(n,t),n.init_ContinuousTicker=function(){this.define({num_minor_ticks:[o.Number,5],desired_num_ticks:[o.Number,6]})},n.prototype.get_ticks=function(t,n,i,r,e){return this.get_ticks_no_defaults(t,n,r,this.desired_num_ticks)},n.prototype.get_ticks_no_defaults=function(t,n,i,r){var e=this.get_interval(t,n,r),o=Math.floor(t/e),s=Math.ceil(n/e),a=(_.isStrictNaN(o)||_.isStrictNaN(s)?[]:u.range(o,s+1)).map(function(t){return t*e}).filter(function(i){return t<=i&&i<=n}),c=this.num_minor_ticks,l=[];if(c>0&&a.length>0){for(var f=e/c,h=u.range(0,c).map(function(t){return t*f}),m=0,p=h.slice(1);m=2&&(t=Math.abs(i[1]-i[0])/1e4);var r=!1;if(this.use_scientific)for(var n=0,o=i;nt&&(l>=this.scientific_limit_high||l<=this.scientific_limit_low)){r=!0;break}}var s=new Array(i.length),f=this.precision;if(null==f||a.isNumber(f))if(r)for(var h=0,_=i.length;h<_;h++)s[h]=i[h].toExponential(f||void 0);else for(h=0,_=i.length;h<_;h++)s[h]=i[h].toFixed(f||void 0).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\");else for(var p=this.last_precision,u=this.last_precision<=15;u?p<=15:p>=15;u?p++:p--){var m=!0;if(r){for(h=0,_=i.length;h<_;h++)if(s[h]=i[h].toExponential(p),h>0&&s[h]===s[h-1]){m=!1;break}if(m)break}else{for(h=0,_=i.length;h<_;h++)if(s[h]=i[h].toFixed(p).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\"),h>0&&s[h]==s[h-1]){m=!1;break}if(m)break}if(m){this.last_precision=p;break}}return s},e}(n.TickFormatter);t.BasicTickFormatter=c,c.__name__=\"BasicTickFormatter\",c.init_BasicTickFormatter()},\n", " function _(t,n,r){var e=t(113),i=function(t){function n(n){return t.call(this,n)||this}return e.__extends(n,t),n}(t(166).Model);r.TickFormatter=i,i.__name__=\"TickFormatter\"},\n", " function _(o,n,l){var r=o(113),t=o(211),i=o(114),e=function(o){function n(n){return o.call(this,n)||this}return r.__extends(n,o),n.prototype._v_compute=function(o,n,l,r){for(var t=r.nan_color,e=r.low_color,h=r.high_color,a=null!=this.low?this.low:i.min(o),u=null!=this.high?this.high:i.max(o),_=l.length-1,s=1/(u-a),c=1/l.length,p=0,f=o.length;p_?null!=h?h:l[_]:l[m]}else n[p]=l[_]}},n}(t.ContinuousColorMapper);l.LinearColorMapper=e,e.__name__=\"LinearColorMapper\"},\n", " function _(o,r,i){var l=o(113),n=o(212),t=o(121),u=function(o){function r(r){return o.call(this,r)||this}return l.__extends(r,o),r.init_ContinuousColorMapper=function(){this.define({high:[t.Number],low:[t.Number],high_color:[t.Color],low_color:[t.Color]})},r.prototype._colors=function(r){return Object.assign(Object.assign({},o.prototype._colors.call(this,r)),{low_color:null!=this.low_color?r(this.low_color):void 0,high_color:null!=this.high_color?r(this.high_color):void 0})},r}(n.ColorMapper);i.ContinuousColorMapper=u,u.__name__=\"ContinuousColorMapper\",u.init_ContinuousColorMapper()},\n", " function _(t,r,n){var e=t(113),o=t(213),i=t(121),a=t(109),u=t(123),_=t(197);function c(t){return a.isNumber(t)?t:(\"#\"!=t[0]&&(t=u.color2hex(t)),9!=t.length&&(t+=\"ff\"),parseInt(t.slice(1),16))}function l(t){for(var r=new Uint32Array(t.length),n=0,e=t.length;nr.x?-1:t.x==r.x?0:1}):o.sort(function(t,r){return t.xthis._x_sorted[this._x_sorted.length-1])return NaN}else{if(tthis._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}if(t==this._x_sorted[0])return this._y_sorted[0];var r=s.find_last_index(this._x_sorted,function(r){return rthis._x_sorted[this._x_sorted.length-1])return NaN}else{if(tthis._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}var e;switch(this.mode){case\"after\":e=s.find_last_index(this._x_sorted,function(e){return t>=e});break;case\"before\":e=s.find_index(this._x_sorted,function(e){return t<=e});break;case\"center\":var r=this._x_sorted.map(function(e){return Math.abs(e-t)}),n=s.min(r);e=s.find_index(r,function(t){return 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s.__extends(e,t),e.init_Tooltip=function(){this.prototype.default_view=c,this.define({attachment:[a.TooltipAttachment,\"horizontal\"],inner_only:[a.Boolean,!0],show_arrow:[a.Boolean,!0]}),this.override({level:\"overlay\"}),this.internal({data:[a.Any,[]],custom:[a.Any]})},e.prototype.clear=function(){this.data=[]},e.prototype.add=function(t,e,i){this.data=this.data.concat([[t,e,i]])},e}(o.Annotation);i.Tooltip=d,d.__name__=\"Tooltip\",d.init_Tooltip()},\n", " function _(o,t,n){o(164),o(163).styles.append('.bk-root {\\n /* Same border color used everywhere */\\n /* Gray of icons */\\n}\\n.bk-root .bk-tooltip {\\n font-weight: 300;\\n font-size: 12px;\\n position: absolute;\\n padding: 5px;\\n border: 1px solid #e5e5e5;\\n color: #2f2f2f;\\n background-color: white;\\n pointer-events: none;\\n opacity: 0.95;\\n z-index: 100;\\n}\\n.bk-root .bk-tooltip > div:not(:first-child) {\\n /* gives space when multiple elements are being hovered over */\\n margin-top: 5px;\\n border-top: #e5e5e5 1px 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position: absolute;\\n margin: 0 0 0 -7px;\\n left: 50%;\\n width: 0;\\n height: 0;\\n border-style: solid;\\n border-width: 0 7px 0 7px;\\n border-color: transparent;\\n content: \" \";\\n display: block;\\n top: -10px;\\n border-bottom-width: 10px;\\n border-bottom-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-below::after {\\n position: absolute;\\n margin: 0 0 0 -7px;\\n left: 50%;\\n width: 0;\\n height: 0;\\n border-style: solid;\\n border-width: 0 7px 0 7px;\\n border-color: transparent;\\n content: \" \";\\n display: block;\\n bottom: -10px;\\n border-top-width: 10px;\\n border-top-color: #909599;\\n}\\n.bk-root .bk-tooltip-row-label {\\n text-align: right;\\n color: #26aae1;\\n /* blue from toolbar highlighting */\\n}\\n.bk-root .bk-tooltip-row-value {\\n color: default;\\n /* seems to be necessary for notebook */\\n}\\n.bk-root .bk-tooltip-color-block {\\n width: 12px;\\n height: 12px;\\n margin-left: 5px;\\n margin-right: 5px;\\n outline: #dddddd solid 1px;\\n display: inline-block;\\n}\\n'),n.bk_tooltip=\"bk-tooltip\",n.bk_tooltip_arrow=\"bk-tooltip-arrow\",n.bk_tooltip_custom=\"bk-tooltip-custom\",n.bk_tooltip_row_label=\"bk-tooltip-row-label\",n.bk_tooltip_row_value=\"bk-tooltip-row-value\",n.bk_tooltip_color_block=\"bk-tooltip-color-block\"},\n", " function _(b,e,k){b(163).styles.append(\"\"),k.bk_active=\"bk-active\",k.bk_inline=\"bk-inline\",k.bk_left=\"bk-left\",k.bk_right=\"bk-right\",k.bk_above=\"bk-above\",k.bk_below=\"bk-below\",k.bk_up=\"bk-up\",k.bk_down=\"bk-down\",k.bk_side=function(b){switch(b){case\"above\":return k.bk_above;case\"below\":return k.bk_below;case\"left\":return k.bk_left;case\"right\":return k.bk_right}}},\n", " function _(e,t,i){var s=e(113),n=e(131),r=e(170),o=e(169),a=e(121),h=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return s.__extends(t,e),t.prototype.initialize=function(){e.prototype.initialize.call(this),this.set_data(this.model.source)},t.prototype.connect_signals=function(){var t=this;e.prototype.connect_signals.call(this),this.connect(this.model.source.streaming,function(){return t.set_data(t.model.source)}),this.connect(this.model.source.patching,function(){return t.set_data(t.model.source)}),this.connect(this.model.source.change,function(){return t.set_data(t.model.source)})},t.prototype.set_data=function(t){e.prototype.set_data.call(this,t),this.visuals.warm_cache(t),this.plot_view.request_render()},t.prototype._map_data=function(){var e,t,i,s=this.plot_view.frame,n=this.model.dimension,r=s.xscales[this.model.x_range_name],o=s.yscales[this.model.y_range_name],a=\"height\"==n?o:r,h=\"height\"==n?r:o,_=\"height\"==n?s.yview:s.xview,l=\"height\"==n?s.xview:s.yview;e=\"data\"==this.model.properties.lower.units?a.v_compute(this._lower):_.v_compute(this._lower),t=\"data\"==this.model.properties.upper.units?a.v_compute(this._upper):_.v_compute(this._upper),i=\"data\"==this.model.properties.base.units?h.v_compute(this._base):l.v_compute(this._base);var u=\"height\"==n?[1,0]:[0,1],p=u[0],c=u[1],d=[e,i],m=[t,i];this._lower_sx=d[p],this._lower_sy=d[c],this._upper_sx=m[p],this._upper_sy=m[c]},t.prototype.render=function(){if(this.model.visible){this._map_data();var e=this.plot_view.canvas_view.ctx;if(this.visuals.line.doit)for(var t=0,i=this._lower_sx.length;tu&&(u=b)}return u>0&&(u+=a),u},Object.defineProperty(t.prototype,\"normals\",{get:function(){return this.panel.normals},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"dimension\",{get:function(){return this.panel.dimension},enumerable:!0,configurable:!0}),t.prototype.compute_labels=function(e){for(var t=this.model.formatter.doFormat(e,this),i=0;i_(l-c)?(a=u(h(n,o),l),r=h(u(n,o),c)):(a=h(n,o),r=u(n,o)),[a,r]}throw new Error(\"user bounds '\"+t+\"' not understood\")},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"rule_coords\",{get:function(){var e=this.dimension,t=(e+1)%2,i=this.ranges[0],a=this.computed_bounds,r=a[0],n=a[1],o=[new 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i.end}},enumerable:!0,configurable:!0}),t.prototype.serializable_state=function(){return Object.assign(Object.assign({},e.prototype.serializable_state.call(this)),{bbox:this.layout.bbox.box})},t}(r.GuideRendererView);i.AxisView=c,c.__name__=\"AxisView\";var d=function(e){function t(t){return e.call(this,t)||this}return a.__extends(t,e),t.init_Axis=function(){this.prototype.default_view=c,this.mixins([\"line:axis_\",\"line:major_tick_\",\"line:minor_tick_\",\"text:major_label_\",\"text:axis_label_\"]),this.define({bounds:[n.Any,\"auto\"],ticker:[n.Instance],formatter:[n.Instance],x_range_name:[n.String,\"default\"],y_range_name:[n.String,\"default\"],axis_label:[n.String,\"\"],axis_label_standoff:[n.Int,5],major_label_standoff:[n.Int,5],major_label_orientation:[n.Any,\"horizontal\"],major_label_overrides:[n.Any,{}],major_tick_in:[n.Number,2],major_tick_out:[n.Number,6],minor_tick_in:[n.Number,0],minor_tick_out:[n.Number,4],fixed_location:[n.Any,null]}),this.override({axis_line_color:\"black\",major_tick_line_color:\"black\",minor_tick_line_color:\"black\",major_label_text_font_size:\"8pt\",major_label_text_align:\"center\",major_label_text_baseline:\"alphabetic\",axis_label_text_font_size:\"10pt\",axis_label_text_font_style:\"italic\"})},t}(r.GuideRenderer);i.Axis=d,d.__name__=\"Axis\",d.init_Axis()},\n", " function _(e,n,r){var i=e(113),t=e(160),d=function(e){function n(){return null!==e&&e.apply(this,arguments)||this}return i.__extends(n,e),n}(t.RendererView);r.GuideRendererView=d,d.__name__=\"GuideRendererView\";var u=function(e){function n(n){return e.call(this,n)||this}return i.__extends(n,e),n.init_GuideRenderer=function(){this.override({level:\"overlay\"})},n}(t.Renderer);r.GuideRenderer=u,u.__name__=\"GuideRenderer\",u.init_GuideRenderer()},\n", " function _(t,o,e){var i=t(113),r=t(243),s=t(246),a=t(247),n=t(121),l=function(t){function o(){return null!==t&&t.apply(this,arguments)||this}return i.__extends(o,t),o.prototype._render=function(t,o,e){this._draw_group_separators(t,o,e)},o.prototype._draw_group_separators=function(t,o,e){var i,r=this.ranges[0],s=this.computed_bounds,a=s[0],n=s[1];if(r.tops&&!(r.tops.length<2)&&this.visuals.separator_line.doit){for(var l=this.dimension,_=(l+1)%2,u=[[],[]],p=0,h=0;ha&&f1&&(l.tops[o]=n.tops,l.tops[e]=n.tops.map(function(o){return 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this.convert([t,this[this.locale].time12||\"%I:%M:%S\"])},X:function(e,t){return this.convert([t,this[this.locale].time24])},c:function(e,t){return this.convert([t,this[this.locale].dateTime])},convert:function(e){if(!e.length)return\"1.0.22\";var t,a,u,l,s,c=Object.create(this),f=[];for(t=0;t=o?Math.floor((n-o)/7)+1:0}function c(e){var t,n,r;return n=e.getUTCFullYear(),t=new Date(Date.UTC(n,0)).getUTCDay(),(r=s(e,1)+(t>1&&t<=4?1:0))?53!=r||4==t||3==t&&29==new Date(n,1,29).getDate()?[r,e.getUTCFullYear()]:[1,e.getUTCFullYear()+1]:(n=e.getUTCFullYear()-1,[r=4==(t=new Date(Date.UTC(n,0)).getUTCDay())||3==t&&29==new Date(n,1,29).getDate()?53:52,e.getUTCFullYear()-1])}return u=u.toLowerCase().split(\"|\"),\"delmHMSUWVgCIky\".replace(/./g,function(e){a[e].pad=2}),a.N.pad=9,a.j.pad=3,a.k.style=\"_\",a.l.style=\"_\",a.e.style=\"_\",function(){return a.convert(arguments)}})},\n", " function _(r,n,e){var t=r(113),i=r(254),u=r(255),a=r(252),f=r(127),o=r(109);function l(r){for(var 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supported\");s.push({placeholder:t[0],param_no:t[1],keys:t[2],sign:t[3],pad_char:t[4],align:t[5],width:t[6],precision:t[7],type:t[8]})}r=r.substring(t[0].length)}return i[n]=s}(t),arguments)}function r(e,t){return n.apply(null,[e].concat(t||[]))}var i=Object.create(null);void 0!==t&&(t.sprintf=n,t.vsprintf=r),\"undefined\"!=typeof window&&(window.sprintf=n,window.vsprintf=r,\"function\"==typeof define&&define.amd&&define(function(){return{sprintf:n,vsprintf:r}}))}()},\n", " function _(e,n,t){\n", " /*!\n", " * numbro.js\n", " * version : 1.6.2\n", " * author : Företagsplatsen AB\n", " * license : MIT\n", " * http://www.foretagsplatsen.se\n", " */\n", " var r,i={},a=i,o=\"en-US\",l=null,u=\"0,0\";void 0!==n&&n.exports;function c(e){this._value=e}function s(e){var n,t=\"\";for(n=0;n-1?function(e,n){var t,r,i,a;return t=(a=e.toString()).split(\"e\")[0],i=a.split(\"e\")[1],a=t.split(\".\")[0]+(r=t.split(\".\")[1]||\"\")+s(i-r.length),n>0&&(a+=\".\"+s(n)),a}(e,n):(t(e*o)/o).toFixed(n),r&&(i=new RegExp(\"0{1,\"+r+\"}$\"),a=a.replace(i,\"\")),a}function d(e,n,t){return n.indexOf(\"$\")>-1?function(e,n,t){var r,a,l=n,u=l.indexOf(\"$\"),c=l.indexOf(\"(\"),s=l.indexOf(\"+\"),f=l.indexOf(\"-\"),d=\"\",p=\"\";-1===l.indexOf(\"$\")?\"infix\"===i[o].currency.position?(p=i[o].currency.symbol,i[o].currency.spaceSeparated&&(p=\" \"+p+\" \")):i[o].currency.spaceSeparated&&(d=\" \"):l.indexOf(\" $\")>-1?(d=\" \",l=l.replace(\" $\",\"\")):l.indexOf(\"$ \")>-1?(d=\" \",l=l.replace(\"$ 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x.indexOf(\"-\")>-1&&(x=x.slice(1),R=!0),x.length-1&&(x=x.toString().replace(/(\\d)(?=(\\d{3})+(?!\\d))/g,\"$1\"+i[o].delimiters.thousands)),0===n.indexOf(\".\")&&(x=\"\"),b+(n.indexOf(\"(\")2)&&(o.length<2?!!o[0].match(/^\\d+.*\\d$/)&&!o[0].match(u):1===o[0].length?!!o[0].match(/^\\d+$/)&&!o[0].match(u)&&!!o[1].match(/^\\d+$/):!!o[0].match(/^\\d+.*\\d$/)&&!o[0].match(u)&&!!o[1].match(/^\\d+$/)))))},n.exports={format:function(e,n,t,i){return null!=t&&t!==r.culture()&&r.setCulture(t),d(Number(e),null!=n?n:u,null==i?Math.round:i)}}},\n", " function _(e,n,i){var t=e(113),r=e(110),a=e(205),s=e(257),c=e(258),_=e(261),m=e(262),k=e(260),o=function(e){function n(n){return e.call(this,n)||this}return t.__extends(n,e),n.init_DatetimeTicker=function(){this.override({num_minor_ticks:0,tickers:function(){return[new a.AdaptiveTicker({mantissas:[1,2,5],base:10,min_interval:0,max_interval:500*k.ONE_MILLI,num_minor_ticks:0}),new a.AdaptiveTicker({mantissas:[1,2,5,10,15,20,30],base:60,min_interval:k.ONE_SECOND,max_interval:30*k.ONE_MINUTE,num_minor_ticks:0}),new a.AdaptiveTicker({mantissas:[1,2,4,6,8,12],base:24,min_interval:k.ONE_HOUR,max_interval:12*k.ONE_HOUR,num_minor_ticks:0}),new c.DaysTicker({days:r.range(1,32)}),new c.DaysTicker({days:r.range(1,31,3)}),new c.DaysTicker({days:[1,8,15,22]}),new c.DaysTicker({days:[1,15]}),new _.MonthsTicker({months:r.range(0,12,1)}),new _.MonthsTicker({months:r.range(0,12,2)}),new _.MonthsTicker({months:r.range(0,12,4)}),new _.MonthsTicker({months:r.range(0,12,6)}),new m.YearsTicker({})]}})},n}(s.CompositeTicker);i.DatetimeTicker=o,o.__name__=\"DatetimeTicker\",o.init_DatetimeTicker()},\n", " function _(t,e,i){var n=t(113),r=t(206),o=t(121),s=t(110),a=t(125),_=function(t){function e(e){return t.call(this,e)||this}return n.__extends(e,t),e.init_CompositeTicker=function(){this.define({tickers:[o.Array,[]]})},Object.defineProperty(e.prototype,\"min_intervals\",{get:function(){return this.tickers.map(function(t){return t.get_min_interval()})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"max_intervals\",{get:function(){return this.tickers.map(function(t){return t.get_max_interval()})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"min_interval\",{get:function(){return this.min_intervals[0]},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"max_interval\",{get:function(){return this.max_intervals[0]},enumerable:!0,configurable:!0}),e.prototype.get_best_ticker=function(t,e,i){var n,r=e-t,o=this.get_ideal_interval(t,e,i),_=[s.sorted_index(this.min_intervals,o)-1,s.sorted_index(this.max_intervals,o)],u=[this.min_intervals[_[0]],this.max_intervals[_[1]]].map(function(t){return Math.abs(i-r/t)});if(a.isEmpty(u.filter(function(t){return!isNaN(t)})))n=this.tickers[0];else{var c=_[s.argmin(u)];n=this.tickers[c]}return n},e.prototype.get_interval=function(t,e,i){return this.get_best_ticker(t,e,i).get_interval(t,e,i)},e.prototype.get_ticks_no_defaults=function(t,e,i,n){return this.get_best_ticker(t,e,n).get_ticks_no_defaults(t,e,i,n)},e}(r.ContinuousTicker);i.CompositeTicker=_,_.__name__=\"CompositeTicker\",_.init_CompositeTicker()},\n", " function _(t,n,e){var i=t(113),r=t(259),a=t(260),o=t(121),s=t(110);var _=function(t){function n(n){return t.call(this,n)||this}return i.__extends(n,t),n.init_DaysTicker=function(){this.define({days:[o.Array,[]]}),this.override({num_minor_ticks:0})},n.prototype.initialize=function(){t.prototype.initialize.call(this);var n=this.days;n.length>1?this.interval=(n[1]-n[0])*a.ONE_DAY:this.interval=31*a.ONE_DAY},n.prototype.get_ticks_no_defaults=function(t,n,e,i){var r=function(t,n){var e=a.last_month_no_later_than(new Date(t)),i=a.last_month_no_later_than(new Date(n));i.setUTCMonth(i.getUTCMonth()+1);for(var r=[],o=e;r.push(a.copy_date(o)),o.setUTCMonth(o.getUTCMonth()+1),!(o>i););return r}(t,n),o=this.days,_=this.interval;return{major:s.concat(r.map(function(t){return function(t,n){for(var e=t.getUTCMonth(),i=[],r=0,s=o;r1?this.interval=(n[1]-n[0])*a.ONE_MONTH:this.interval=12*a.ONE_MONTH},n.prototype.get_ticks_no_defaults=function(t,n,e,r){var i=function(t,n){var e=a.last_year_no_later_than(new Date(t)),r=a.last_year_no_later_than(new Date(n));r.setUTCFullYear(r.getUTCFullYear()+1);for(var i=[],o=e;i.push(a.copy_date(o)),o.setUTCFullYear(o.getUTCFullYear()+1),!(o>r););return i}(t,n),o=this.months;return{major:l.concat(i.map(function(t){return o.map(function(n){var e=a.copy_date(t);return e.setUTCMonth(n),e})})).map(function(t){return t.getTime()}).filter(function(e){return t<=e&&e<=n}),minor:[]}},n}(i.SingleIntervalTicker);e.MonthsTicker=u,u.__name__=\"MonthsTicker\",u.init_MonthsTicker()},\n", " function _(t,e,i){var n=t(113),r=t(204),a=t(259),_=t(260),c=function(t){function e(e){return t.call(this,e)||this}return n.__extends(e,t),e.prototype.initialize=function(){t.prototype.initialize.call(this),this.interval=_.ONE_YEAR,this.basic_ticker=new r.BasicTicker({num_minor_ticks:0})},e.prototype.get_ticks_no_defaults=function(t,e,i,n){var r=_.last_year_no_later_than(new Date(t)).getUTCFullYear(),a=_.last_year_no_later_than(new Date(e)).getUTCFullYear();return{major:this.basic_ticker.get_ticks_no_defaults(r,a,i,n).major.map(function(t){return Date.UTC(t,0,1)}).filter(function(i){return t<=i&&i<=e}),minor:[]}},e}(a.SingleIntervalTicker);i.YearsTicker=c,c.__name__=\"YearsTicker\"},\n", " function _(i,n,t){var e=i(113),o=i(243),r=i(248),u=i(264),s=i(265),_=function(i){function n(){return null!==i&&i.apply(this,arguments)||this}return e.__extends(n,i),n}(o.AxisView);t.LogAxisView=_,_.__name__=\"LogAxisView\";var c=function(i){function n(n){return i.call(this,n)||this}return e.__extends(n,i),n.init_LogAxis=function(){this.prototype.default_view=_,this.override({ticker:function(){return new s.LogTicker},formatter:function(){return new u.LogTickFormatter}})},n}(r.ContinuousAxis);t.LogAxis=c,c.__name__=\"LogAxis\",c.init_LogAxis()},\n", " function _(t,i,r){var e=t(113),n=t(209),o=t(208),a=t(167),c=t(121),l=function(t){function i(i){return t.call(this,i)||this}return e.__extends(i,t),i.init_LogTickFormatter=function(){this.define({ticker:[c.Instance,null]})},i.prototype.initialize=function(){t.prototype.initialize.call(this),this.basic_formatter=new o.BasicTickFormatter,null==this.ticker&&a.logger.warn(\"LogTickFormatter not configured with a ticker, using default base of 10 (labels will be incorrect if ticker base is not 10)\")},i.prototype.doFormat=function(t,i){if(0==t.length)return[];for(var r=null!=this.ticker?this.ticker.base:10,e=!1,n=new Array(t.length),o=0,a=t.length;o0&&n[o]==n[o-1]){e=!0;break}return e?this.basic_formatter.doFormat(t,i):n},i}(n.TickFormatter);r.LogTickFormatter=l,l.__name__=\"LogTickFormatter\",l.init_LogTickFormatter()},\n", " function _(t,r,n){var e=t(113),i=t(205),o=t(110),a=function(t){function r(r){return t.call(this,r)||this}return e.__extends(r,t),r.init_LogTicker=function(){this.override({mantissas:[1,5]})},r.prototype.get_ticks_no_defaults=function(t,r,n,e){var i,a=this.num_minor_ticks,u=[],f=this.base,h=Math.log(t)/Math.log(f),l=Math.log(r)/Math.log(f),c=l-h;if(isFinite(c))if(c<2){var s=this.get_interval(t,r,e),g=Math.floor(t/s),_=Math.ceil(r/s);if(i=o.range(g,_+1).filter(function(t){return 0!=t}).map(function(t){return t*s}).filter(function(n){return t<=n&&n<=r}),a>0&&i.length>0){for(var p=s/a,v=0,M=(y=o.range(0,a).map(function(t){return t*p})).slice(1);v0&&i.length>0){for(var y,A=Math.pow(f,x)/a,F=0,q=y=o.range(1,a+1).map(function(t){return t*A});F1?((e=i).width=arguments[0],e.height=arguments[1]):e=t||i,!(this instanceof r))return new r(e);this.width=e.width||i.width,this.height=e.height||i.height,this.enableMirroring=void 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t=this.__closestGroupOrSvg().getAttribute(\"transform\"),e=this.__root.childNodes[1],r=e.childNodes,i=r.length-1;i>=0;i--)r[i]&&e.removeChild(r[i]);this.__currentElement=e,this.__groupStack=[],t&&this.__addTransform(t)},r.prototype.clearRect=function(t,e,r,i){if(0!==t||0!==e||r!==this.width||i!==this.height){var n,s=this.__closestGroupOrSvg();n=this.__createElement(\"rect\",{x:t,y:e,width:r,height:i,fill:\"#FFFFFF\"},!0),s.appendChild(n)}else this.__clearCanvas()},r.prototype.createLinearGradient=function(t,e,r,n){var s=this.__createElement(\"linearGradient\",{id:o(this.__ids),x1:t+\"px\",x2:r+\"px\",y1:e+\"px\",y2:n+\"px\",gradientUnits:\"userSpaceOnUse\"},!1);return this.__defs.appendChild(s),new i(s,this)},r.prototype.createRadialGradient=function(t,e,r,n,s,a){var h=this.__createElement(\"radialGradient\",{id:o(this.__ids),cx:n+\"px\",cy:s+\"px\",r:a+\"px\",fx:t+\"px\",fy:e+\"px\",gradientUnits:\"userSpaceOnUse\"},!1);return this.__defs.appendChild(h),new i(h,this)},r.prototype.__parseFont=function(){var t=/^\\s*(?=(?:(?:[-a-z]+\\s*){0,2}(italic|oblique))?)(?=(?:(?:[-a-z]+\\s*){0,2}(small-caps))?)(?=(?:(?:[-a-z]+\\s*){0,2}(bold(?:er)?|lighter|[1-9]00))?)(?:(?:normal|\\1|\\2|\\3)\\s*){0,3}((?:xx?-)?(?:small|large)|medium|smaller|larger|[.\\d]+(?:\\%|in|[cem]m|ex|p[ctx]))(?:\\s*\\/\\s*(normal|[.\\d]+(?:\\%|in|[cem]m|ex|p[ctx])))?\\s*([-,\\'\\\"\\sa-z0-9]+?)\\s*$/i.exec(this.font),e={style:t[1]||\"normal\",size:t[4]||\"10px\",family:t[6]||\"sans-serif\",weight:t[3]||\"normal\",decoration:t[2]||\"normal\",href:null};return\"underline\"===this.__fontUnderline&&(e.decoration=\"underline\"),this.__fontHref&&(e.href=this.__fontHref),e},r.prototype.__wrapTextLink=function(t,e){if(t.href){var r=this.__createElement(\"a\");return r.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",t.href),r.appendChild(e),r}return e},r.prototype.__applyText=function(t,e,r,i){var 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i,s=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",\"pattern\"),a=o(this.__ids);return s.setAttribute(\"id\",a),s.setAttribute(\"width\",t.width),s.setAttribute(\"height\",t.height),\"CANVAS\"===t.nodeName||\"IMG\"===t.nodeName?((i=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",\"image\")).setAttribute(\"width\",t.width),i.setAttribute(\"height\",t.height),i.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",\"CANVAS\"===t.nodeName?t.toDataURL():t.getAttribute(\"src\")),s.appendChild(i),this.__defs.appendChild(s)):t instanceof r&&(s.appendChild(t.__root.childNodes[1]),this.__defs.appendChild(s)),new n(s,this)},r.prototype.setLineDash=function(t){t&&t.length>0?this.lineDash=t.join(\",\"):this.lineDash=null},r.prototype.drawFocusRing=function(){},r.prototype.createImageData=function(){},r.prototype.getImageData=function(){},r.prototype.putImageData=function(){},r.prototype.globalCompositeOperation=function(){},r.prototype.setTransform=function(){},\"object\"==typeof window&&(window.C2S=r),\"object\"==typeof e&&\"object\"==typeof e.exports&&(e.exports=r)}()},\n", " function _(e,t,a){var r=e(113),n=e(279),s=e(215),i=e(224),_=e(225),o=e(280),c=e(184),g=function(e){function t(t,a,r,n,s,i){void 0===s&&(s={}),void 0===i&&(i={});var _=e.call(this)||this;return _.x_scale=t,_.y_scale=a,_.x_range=r,_.y_range=n,_.extra_x_ranges=s,_.extra_y_ranges=i,_._configure_scales(),_}return r.__extends(t,e),t.prototype.map_to_screen=function(e,t,a,r){return void 0===a&&(a=\"default\"),void 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_.Range1d({start:this._bottom.value,end:this._top.value})},t.prototype._configure_scales=function(){this._configure_frame_ranges(),this._x_ranges=this._get_ranges(this.x_range,this.extra_x_ranges),this._y_ranges=this._get_ranges(this.y_range,this.extra_y_ranges),this._xscales=this._get_scales(this.x_scale,this._x_ranges,this._h_target),this._yscales=this._get_scales(this.y_scale,this._y_ranges,this._v_target)},t.prototype._update_scales=function(){for(var e in this._configure_frame_ranges(),this._xscales){this._xscales[e].target_range=this._h_target}for(var e in this._yscales){this._yscales[e].target_range=this._v_target}},t.prototype._set_geometry=function(t,a){e.prototype._set_geometry.call(this,t,a),this._update_scales()},Object.defineProperty(t.prototype,\"x_ranges\",{get:function(){return this._x_ranges},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"y_ranges\",{get:function(){return this._y_ranges},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"xscales\",{get:function(){return this._xscales},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"yscales\",{get:function(){return this._yscales},enumerable:!0,configurable:!0}),t}(e(282).LayoutItem);a.CartesianFrame=g,g.__name__=\"CartesianFrame\"},\n", " function _(t,e,c){var n=t(113),o=function(t){function e(e){return t.call(this,e)||this}return n.__extends(e,t),e.prototype.compute=function(e){return t.prototype.compute.call(this,this.source_range.synthetic(e))},e.prototype.v_compute=function(e){return t.prototype.v_compute.call(this,this.source_range.v_synthetic(e))},e}(t(215).LinearScale);c.CategoricalScale=o,o.__name__=\"CategoricalScale\"},\n", " function _(t,i,n){var e=t(113),a=t(281),r=t(175),s=t(167),o=t(121),l=t(181),_=t(110),d=function(t){function i(i){var n=t.call(this,i)||this;return n._plot_bounds={},n.have_updated_interactively=!1,n}return e.__extends(i,t),i.init_DataRange1d=function(){this.define({start:[o.Number],end:[o.Number],range_padding:[o.Number,.1],range_padding_units:[o.PaddingUnits,\"percent\"],flipped:[o.Boolean,!1],follow:[o.StartEnd],follow_interval:[o.Number],default_span:[o.Number,2],only_visible:[o.Boolean,!1]}),this.internal({scale_hint:[o.String,\"auto\"]})},i.prototype.initialize=function(){t.prototype.initialize.call(this),this._initial_start=this.start,this._initial_end=this.end,this._initial_range_padding=this.range_padding,this._initial_range_padding_units=this.range_padding_units,this._initial_follow=this.follow,this._initial_follow_interval=this.follow_interval,this._initial_default_span=this.default_span},Object.defineProperty(i.prototype,\"min\",{get:function(){return Math.min(this.start,this.end)},enumerable:!0,configurable:!0}),Object.defineProperty(i.prototype,\"max\",{get:function(){return Math.max(this.start,this.end)},enumerable:!0,configurable:!0}),i.prototype.computed_renderers=function(){var t=this.names,i=this.renderers;if(0==i.length)for(var n=0,e=this.plots;n0&&(i=i.filter(function(i){return _.includes(t,i.name)})),s.logger.debug(\"computed \"+i.length+\" renderers for DataRange1d \"+this.id);for(var o=0,l=i;ou&&(\"start\"==this.follow?a=e+h*u:\"end\"==this.follow&&(e=a-h*u)),[e,a]},i.prototype.update=function(t,i,n,e){if(!this.have_updated_interactively){var a=this.computed_renderers(),r=this._compute_plot_bounds(a,t);null!=e&&(r=this.adjust_bounds_for_aspect(r,e)),this._plot_bounds[n]=r;var s=this._compute_min_max(this._plot_bounds,i),o=s[0],l=s[1],_=this._compute_range(o,l),d=_[0],h=_[1];null!=this._initial_start&&(\"log\"==this.scale_hint?this._initial_start>0&&(d=this._initial_start):d=this._initial_start),null!=this._initial_end&&(\"log\"==this.scale_hint?this._initial_end>0&&(h=this._initial_end):h=this._initial_end);var u=[this.start,this.end],p=u[0],g=u[1];if(d!=p||h!=g){var f={};d!=p&&(f.start=d),h!=g&&(f.end=h),this.setv(f)}\"auto\"==this.bounds&&this.setv({bounds:[d,h]},{silent:!0}),this.change.emit()}},i.prototype.reset=function(){this.have_updated_interactively=!1,this.setv({range_padding:this._initial_range_padding,range_padding_units:this._initial_range_padding_units,follow:this._initial_follow,follow_interval:this._initial_follow_interval,default_span:this._initial_default_span},{silent:!0}),this.change.emit()},i}(a.DataRange);n.DataRange1d=d,d.__name__=\"DataRange1d\",d.init_DataRange1d()},\n", " function _(n,a,e){var t=n(113),i=n(185),r=n(121),_=function(n){function a(a){return n.call(this,a)||this}return t.__extends(a,n),a.init_DataRange=function(){this.define({names:[r.Array,[]],renderers:[r.Array,[]]})},a}(i.Range);e.DataRange=_,_.__name__=\"DataRange\",_.init_DataRange()},\n", " function _(a,o,t){var r=a(283);t.Sizeable=r.Sizeable;var e=a(284);t.Layoutable=e.Layoutable,t.LayoutItem=e.LayoutItem;var n=a(285);t.HStack=n.HStack,t.VStack=n.VStack,t.AnchorLayout=n.AnchorLayout;var c=a(286);t.Grid=c.Grid,t.Row=c.Row,t.Column=c.Column;var i=a(287);t.ContentBox=i.ContentBox,t.VariadicBox=i.VariadicBox},\n", " function _(t,h,i){var e=Math.min,n=Math.max,o=function(){function t(t){void 0===t&&(t={}),this.width=null!=t.width?t.width:0,this.height=null!=t.height?t.height:0}return t.prototype.bounded_to=function(h){var i=h.width,e=h.height;return new t({width:this.width==1/0&&null!=i?i:this.width,height:this.height==1/0&&null!=e?e:this.height})},t.prototype.expanded_to=function(h){var i=h.width,e=h.height;return new t({width:i!=1/0?n(this.width,i):this.width,height:e!=1/0?n(this.height,e):this.height})},t.prototype.expand_to=function(t){var h=t.width,i=t.height;this.width=n(this.width,h),this.height=n(this.height,i)},t.prototype.narrowed_to=function(h){var i=h.width,n=h.height;return new t({width:e(this.width,i),height:e(this.height,n)})},t.prototype.narrow_to=function(t){var h=t.width,i=t.height;this.width=e(this.width,h),this.height=e(this.height,i)},t.prototype.grow_by=function(h){var i=h.left,e=h.right,n=h.top,o=h.bottom;return new t({width:this.width+i+e,height:this.height+n+o})},t.prototype.shrink_by=function(h){var i=h.left,e=h.right,o=h.top,r=h.bottom;return new t({width:n(this.width-i-e,0),height:n(this.height-o-r,0)})},t.prototype.map=function(h,i){return new t({width:h(this.width),height:(null!=i?i:h)(this.height)})},t}();i.Sizeable=o,o.__name__=\"Sizeable\"},\n", " function _(i,t,e){var h=i(113),n=i(283),r=i(181),s=Math.min,o=Math.max,g=Math.round,u=function(){function i(){this._bbox=new r.BBox,this._inner_bbox=new r.BBox;var i=this;this._top={get value(){return i.bbox.top}},this._left={get value(){return i.bbox.left}},this._width={get value(){return i.bbox.width}},this._height={get value(){return i.bbox.height}},this._right={get value(){return i.bbox.right}},this._bottom={get value(){return i.bbox.bottom}},this._hcenter={get value(){return i.bbox.hcenter}},this._vcenter={get value(){return i.bbox.vcenter}}}return Object.defineProperty(i.prototype,\"bbox\",{get:function(){return this._bbox},enumerable:!0,configurable:!0}),Object.defineProperty(i.prototype,\"inner_bbox\",{get:function(){return this._inner_bbox},enumerable:!0,configurable:!0}),Object.defineProperty(i.prototype,\"sizing\",{get:function(){return this._sizing},enumerable:!0,configurable:!0}),i.prototype.set_sizing=function(i){var t=i.width_policy||\"fit\",e=i.width,h=null!=i.min_width?i.min_width:0,n=null!=i.max_width?i.max_width:1/0,r=i.height_policy||\"fit\",s=i.height,o=null!=i.min_height?i.min_height:0,g=null!=i.max_height?i.max_height:1/0,u=i.aspect,a=i.margin||{top:0,right:0,bottom:0,left:0},l=!1!==i.visible,_=i.halign||\"start\",d=i.valign||\"start\";this._sizing={width_policy:t,min_width:h,width:e,max_width:n,height_policy:r,min_height:o,height:s,max_height:g,aspect:u,margin:a,visible:l,halign:_,valign:d,size:{width:e,height:s},min_size:{width:h,height:o},max_size:{width:n,height:g}},this._init()},i.prototype._init=function(){},i.prototype._set_geometry=function(i,t){this._bbox=i,this._inner_bbox=t},i.prototype.set_geometry=function(i,t){this._set_geometry(i,t||i)},i.prototype.is_width_expanding=function(){return\"max\"==this.sizing.width_policy},i.prototype.is_height_expanding=function(){return\"max\"==this.sizing.height_policy},i.prototype.apply_aspect=function(i,t){var e=t.width,h=t.height,n=this.sizing.aspect;if(null!=n){var r=this.sizing,s=r.width_policy,o=r.height_policy;if(\"fixed\"!=s&&\"fixed\"!=o)if(s==o){var u=e,a=g(e/n),l=g(h*n),_=h;Math.abs(i.width-u)+Math.abs(i.height-a)<=Math.abs(i.width-l)+Math.abs(i.height-_)?(e=u,h=a):(e=l,h=_)}else!function(i,t){var e={max:4,fit:3,min:2,fixed:1};return e[i]>e[t]}(s,o)?e=g(h*n):h=g(e/n);else\"fixed\"==s?h=g(e/n):\"fixed\"==o&&(e=g(h*n))}return{width:e,height:h}},i.prototype.measure=function(i){var t=this;if(!this.sizing.visible)return{width:0,height:0};var e=function(i){return\"fixed\"==t.sizing.width_policy&&null!=t.sizing.width?t.sizing.width:i},h=function(i){return\"fixed\"==t.sizing.height_policy&&null!=t.sizing.height?t.sizing.height:i},r=new n.Sizeable(i).shrink_by(this.sizing.margin).map(e,h),s=this._measure(r),o=this.clip_size(s),g=e(o.width),u=h(o.height),a=this.apply_aspect(r,{width:g,height:u});return Object.assign(Object.assign({},s),a)},i.prototype.compute=function(i){void 0===i&&(i={});var t=this.measure({width:null!=i.width&&this.is_width_expanding()?i.width:1/0,height:null!=i.height&&this.is_height_expanding()?i.height:1/0}),e=t.width,h=t.height,n=new r.BBox({left:0,top:0,width:e,height:h}),s=void 0;if(null!=t.inner){var o=t.inner,g=o.left,u=o.top,a=o.right,l=o.bottom;s=new r.BBox({left:g,top:u,right:e-a,bottom:h-l})}this.set_geometry(n,s)},Object.defineProperty(i.prototype,\"xview\",{get:function(){return this.bbox.xview},enumerable:!0,configurable:!0}),Object.defineProperty(i.prototype,\"yview\",{get:function(){return this.bbox.yview},enumerable:!0,configurable:!0}),i.prototype.clip_width=function(i){return o(this.sizing.min_width,s(i,this.sizing.max_width))},i.prototype.clip_height=function(i){return o(this.sizing.min_height,s(i,this.sizing.max_height))},i.prototype.clip_size=function(i){var t=i.width,e=i.height;return{width:this.clip_width(t),height:this.clip_height(e)}},i}();e.Layoutable=u,u.__name__=\"Layoutable\";var a=function(i){function t(){return null!==i&&i.apply(this,arguments)||this}return h.__extends(t,i),t.prototype._measure=function(i){var t,e,h=this.sizing,n=h.width_policy,r=h.height_policy;if(i.width==1/0)t=null!=this.sizing.width?this.sizing.width:0;else if(\"fixed\"==n)t=null!=this.sizing.width?this.sizing.width:0;else if(\"min\"==n)t=null!=this.sizing.width?s(i.width,this.sizing.width):0;else if(\"fit\"==n)t=null!=this.sizing.width?s(i.width,this.sizing.width):i.width;else{if(\"max\"!=n)throw new Error(\"unrechable\");t=null!=this.sizing.width?o(i.width,this.sizing.width):i.width}if(i.height==1/0)e=null!=this.sizing.height?this.sizing.height:0;else if(\"fixed\"==r)e=null!=this.sizing.height?this.sizing.height:0;else if(\"min\"==r)e=null!=this.sizing.height?s(i.height,this.sizing.height):0;else if(\"fit\"==r)e=null!=this.sizing.height?s(i.height,this.sizing.height):i.height;else{if(\"max\"!=r)throw new Error(\"unrechable\");e=null!=this.sizing.height?o(i.height,this.sizing.height):i.height}return{width:t,height:e}},t}(u);e.LayoutItem=a,a.__name__=\"LayoutItem\";var l=function(i){function t(){return null!==i&&i.apply(this,arguments)||this}return h.__extends(t,i),t.prototype._measure=function(i){var t=this,e=this._content_size(),h=i.bounded_to(this.sizing.size).bounded_to(e);return{width:function(){switch(t.sizing.width_policy){case\"fixed\":return null!=t.sizing.width?t.sizing.width:e.width;case\"min\":return e.width;case\"fit\":return h.width;case\"max\":return Math.max(e.width,h.width);default:throw new Error(\"unexpected\")}}(),height:function(){switch(t.sizing.height_policy){case\"fixed\":return null!=t.sizing.height?t.sizing.height:e.height;case\"min\":return e.height;case\"fit\":return h.height;case\"max\":return Math.max(e.height,h.height);default:throw new Error(\"unexpected\")}}()}},t}(u);e.ContentLayoutable=l,l.__name__=\"ContentLayoutable\"},\n", " function _(t,e,r){var h=t(113),o=t(284),i=t(181),n=function(t){function e(){var e=t.apply(this,arguments)||this;return e.children=[],e}return h.__extends(e,t),e}(o.Layoutable);r.Stack=n,n.__name__=\"Stack\";var a=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return h.__extends(e,t),e.prototype._measure=function(t){for(var e=0,r=0,h=0,o=this.children;h0)for(var A=l(j.height/O.length),M=0,P=O;M0)for(var S=l(j.width/C.length),E=0,G=C;E0)for(g=0;gy?y:m,_--}}}u=\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:t.width!=1/0&&this.is_width_expanding()?t.width:f.size.width;for(var v=0,x=0;x0)for(x=0;xj?j:m,_--}}}var O=this._measure_cells(function(t,i){return{width:f.col_widths[i],height:f.row_heights[t]}}),B=O.row_heights,A=O.col_widths,M=O.size_hints;return{size:this._measure_totals(B,A),row_heights:B,col_widths:A,size_hints:M}},i.prototype._measure=function(t){return this._measure_grid(t).size},i.prototype._set_geometry=function(i,e){t.prototype._set_geometry.call(this,i,e);for(var n=this._state,r=n.nrows,o=n.ncols,s=n.rspacing,h=n.cspacing,u=this._measure_grid(i),p=u.row_heights,g=u.col_widths,_=u.size_hints,d=this._state.rows.map(function(t,i){return Object.assign(Object.assign({},t),{top:0,height:p[i],get bottom(){return this.top+this.height}})}),w=this._state.cols.map(function(t,i){return Object.assign(Object.assign({},t),{left:0,width:g[i],get right(){return this.left+this.width}})}),y=_.map(function(t,i){return Object.assign(Object.assign({},i),{outer:new a.BBox,inner:new a.BBox})}),m=0,v=this.absolute?i.top:0;m0?a.every(e,s.isBoolean)?(e.length!==n.get_length()&&r.logger.warn(\"BooleanFilter \"+this.id+\": length of booleans doesn't match data source\"),a.range(0,e.length).filter(function(n){return!0===e[n]})):(r.logger.warn(\"BooleanFilter \"+this.id+\": booleans should be array of booleans, defaulting to no filtering\"),null):(null!=e&&0==e.length?r.logger.warn(\"BooleanFilter \"+this.id+\": booleans is empty, defaulting to no filtering\"):r.logger.warn(\"BooleanFilter \"+this.id+\": booleans was not set, defaulting to no filtering\"),null)},e}(l.Filter);o.BooleanFilter=g,g.__name__=\"BooleanFilter\",g.init_BooleanFilter()},\n", " function _(t,n,e){var i=t(113),r=t(166),l=t(121),o=t(109),a=t(110),f=t(167),u=function(t){function n(n){return t.call(this,n)||this}return i.__extends(n,t),n.init_Filter=function(){this.define({filter:[l.Array,null]})},n.prototype.compute_indices=function(t){var n=this.filter;return null!=n&&n.length>=0?o.isArrayOf(n,o.isBoolean)?a.range(0,n.length).filter(function(t){return!0===n[t]}):o.isArrayOf(n,o.isInteger)?n:(f.logger.warn(\"Filter \"+this.id+\": filter should either be array of only booleans or only integers, defaulting to no filtering\"),null):(f.logger.warn(\"Filter \"+this.id+\": filter was not set to be an array, defaulting to no filtering\"),null)},n}(r.Model);e.Filter=u,u.__name__=\"Filter\",u.init_Filter()},\n", " function _(e,t,r){var i=e(113),n=e(294),s=e(121),o=e(125),u=e(127),c=function(t){function r(e){return t.call(this,e)||this}return i.__extends(r,t),r.init_CustomJSFilter=function(){this.define({args:[s.Any,{}],code:[s.String,\"\"],use_strict:[s.Boolean,!1]})},Object.defineProperty(r.prototype,\"names\",{get:function(){return o.keys(this.args)},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,\"values\",{get:function(){return o.values(this.args)},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,\"func\",{get:function(){var e=this.use_strict?u.use_strict(this.code):this.code;return new(Function.bind.apply(Function,i.__spreadArrays([void 0],this.names,[\"source\",\"require\",\"exports\",e])))},enumerable:!0,configurable:!0}),r.prototype.compute_indices=function(r){return this.filter=this.func.apply(this,i.__spreadArrays(this.values,[r,e,{}])),t.prototype.compute_indices.call(this,r)},r}(n.Filter);r.CustomJSFilter=c,c.__name__=\"CustomJSFilter\",c.init_CustomJSFilter()},\n", " function _(n,i,t){var r=n(113),e=n(294),u=n(121),o=n(167),l=n(110),c=function(n){function i(i){var t=n.call(this,i)||this;return t.indices=null,t}return r.__extends(i,n),i.init_GroupFilter=function(){this.define({column_name:[u.String],group:[u.String]})},i.prototype.compute_indices=function(n){var i=this,t=n.get_column(this.column_name);return null==t?(o.logger.warn(\"group filter: groupby column not found in data source\"),null):(this.indices=l.range(0,n.get_length()||0).filter(function(n){return t[n]===i.group}),0===this.indices.length&&o.logger.warn(\"group filter: group '\"+this.group+\"' did not match any values in column '\"+this.column_name+\"'\"),this.indices)},i}(e.Filter);t.GroupFilter=c,c.__name__=\"GroupFilter\",c.init_GroupFilter()},\n", " function _(i,n,e){var t=i(113),r=i(294),l=i(121),s=i(167),d=i(109),o=i(110),u=function(i){function n(n){return i.call(this,n)||this}return t.__extends(n,i),n.init_IndexFilter=function(){this.define({indices:[l.Array,null]})},n.prototype.compute_indices=function(i){return null!=this.indices&&this.indices.length>=0?o.every(this.indices,d.isInteger)?this.indices:(s.logger.warn(\"IndexFilter \"+this.id+\": indices should be array of integers, defaulting to no filtering\"),null):(s.logger.warn(\"IndexFilter \"+this.id+\": indices was not set, defaulting to no filtering\"),null)},n}(r.Filter);e.IndexFilter=u,u.__name__=\"IndexFilter\",u.init_IndexFilter()},\n", " function _(r,t,a){var e=r(208);a.BasicTickFormatter=e.BasicTickFormatter;var c=r(247);a.CategoricalTickFormatter=c.CategoricalTickFormatter;var i=r(251);a.DatetimeTickFormatter=i.DatetimeTickFormatter;var o=r(299);a.FuncTickFormatter=o.FuncTickFormatter;var m=r(264);a.LogTickFormatter=m.LogTickFormatter;var F=r(267);a.MercatorTickFormatter=F.MercatorTickFormatter;var k=r(300);a.NumeralTickFormatter=k.NumeralTickFormatter;var T=r(301);a.PrintfTickFormatter=T.PrintfTickFormatter;var v=r(209);a.TickFormatter=v.TickFormatter},\n", " function _(t,e,r){var n=t(113),i=t(209),o=t(121),c=t(125),u=t(127),a=function(e){function r(t){return e.call(this,t)||this}return n.__extends(r,e),r.init_FuncTickFormatter=function(){this.define({args:[o.Any,{}],code:[o.String,\"\"],use_strict:[o.Boolean,!1]})},Object.defineProperty(r.prototype,\"names\",{get:function(){return c.keys(this.args)},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,\"values\",{get:function(){return c.values(this.args)},enumerable:!0,configurable:!0}),r.prototype._make_func=function(){var t=this.use_strict?u.use_strict(this.code):this.code;return new(Function.bind.apply(Function,n.__spreadArrays([void 0,\"tick\",\"index\",\"ticks\"],this.names,[\"require\",\"exports\",t])))},r.prototype.doFormat=function(e,r){var i=this,o=this._make_func().bind({});return e.map(function(e,r,c){return o.apply(void 0,n.__spreadArrays([e,r,c],i.values,[t,{}]))})},r}(i.TickFormatter);r.FuncTickFormatter=a,a.__name__=\"FuncTickFormatter\",a.init_FuncTickFormatter()},\n", " function _(n,r,t){var e=n(113),o=n(255),i=n(209),a=n(121),u=function(n){function r(r){return n.call(this,r)||this}return e.__extends(r,n),r.init_NumeralTickFormatter=function(){this.define({format:[a.String,\"0,0\"],language:[a.String,\"en\"],rounding:[a.RoundingFunction,\"round\"]})},Object.defineProperty(r.prototype,\"_rounding_fn\",{get:function(){switch(this.rounding){case\"round\":case\"nearest\":return Math.round;case\"floor\":case\"rounddown\":return Math.floor;case\"ceil\":case\"roundup\":return Math.ceil}},enumerable:!0,configurable:!0}),r.prototype.doFormat=function(n,r){var t=this.format,e=this.language,i=this._rounding_fn;return n.map(function(n){return o.format(n,t,e,i)})},r}(i.TickFormatter);t.NumeralTickFormatter=u,u.__name__=\"NumeralTickFormatter\",u.init_NumeralTickFormatter()},\n", " function _(t,r,n){var i=t(113),o=t(209),e=t(253),f=t(121),a=function(t){function r(r){return t.call(this,r)||this}return i.__extends(r,t),r.init_PrintfTickFormatter=function(){this.define({format:[f.String,\"%s\"]})},r.prototype.doFormat=function(t,r){var n=this;return t.map(function(t){return e.sprintf(n.format,t)})},r}(o.TickFormatter);n.PrintfTickFormatter=a,a.__name__=\"PrintfTickFormatter\",a.init_PrintfTickFormatter()},\n", " function _(a,e,r){var v=a(303);r.AnnularWedge=v.AnnularWedge;var l=a(304);r.Annulus=l.Annulus;var t=a(305);r.Arc=t.Arc;var i=a(306);r.Bezier=i.Bezier;var n=a(307);r.Circle=n.Circle;var u=a(308);r.CenterRotatable=u.CenterRotatable;var g=a(309);r.Ellipse=g.Ellipse;var c=a(310);r.EllipseOval=c.EllipseOval;var A=a(182);r.Glyph=A.Glyph;var p=a(188);r.HArea=p.HArea;var s=a(311);r.HBar=s.HBar;var R=a(313);r.HexTile=R.HexTile;var d=a(314);r.Image=d.Image;var h=a(316);r.ImageRGBA=h.ImageRGBA;var m=a(317);r.ImageURL=m.ImageURL;var y=a(177);r.Line=y.Line;var B=a(319);r.MultiLine=B.MultiLine;var o=a(320);r.MultiPolygons=o.MultiPolygons;var G=a(321);r.Oval=G.Oval;var H=a(187);r.Patch=H.Patch;var I=a(322);r.Patches=I.Patches;var L=a(323);r.Quad=L.Quad;var P=a(324);r.Quadratic=P.Quadratic;var x=a(325);r.Ray=x.Ray;var C=a(326);r.Rect=C.Rect;var E=a(327);r.Segment=E.Segment;var M=a(328);r.Step=M.Step;var O=a(329);r.Text=O.Text;var Q=a(190);r.VArea=Q.VArea;var S=a(330);r.VBar=S.VBar;var T=a(331);r.Wedge=T.Wedge;var V=a(178);r.XYGlyph=V.XYGlyph},\n", " function _(t,e,i){var r=t(113),s=t(178),n=t(186),a=t(183),_=t(121),h=t(111),o=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return r.__extends(e,t),e.prototype._map_data=function(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this._inner_radius):this.sinner_radius=this._inner_radius,\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this._outer_radius):this.souter_radius=this._outer_radius,this._angle=new Float32Array(this._start_angle.length);for(var t=0,e=this._start_angle.length;t=A&&v.push([m,z])}for(var S=this.model.properties.direction.value(),D=[],V=0,b=v;V=M&&v.push([m,g])}return a.create_hit_test_result_from_hits(v)},r.prototype.draw_legend_for_index=function(i,r,t){var s=r.x0,e=r.y0,a=r.x1,n=r.y1,u=t+1,_=new Array(u);_[t]=(s+a)/2;var h=new Array(u);h[t]=(e+n)/2;var o=.5*Math.min(Math.abs(a-s),Math.abs(n-e)),d=new Array(u);d[t]=.4*o;var l=new Array(u);l[t]=.8*o,this._render(i,[t],{sx:_,sy:h,sinner_radius:d,souter_radius:l})},r}(e.XYGlyphView);t.AnnulusView=_,_.__name__=\"AnnulusView\";var h=function(i){function r(r){return i.call(this,r)||this}return s.__extends(r,i),r.init_Annulus=function(){this.prototype.default_view=_,this.mixins([\"line\",\"fill\"]),this.define({inner_radius:[n.DistanceSpec],outer_radius:[n.DistanceSpec]})},r}(e.XYGlyph);t.Annulus=h,h.__name__=\"Annulus\",h.init_Annulus()},\n", " function _(i,e,t){var n=i(113),s=i(178),r=i(186),a=i(121),_=function(i){function e(){return null!==i&&i.apply(this,arguments)||this}return n.__extends(e,i),e.prototype._map_data=function(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this._radius):this.sradius=this._radius},e.prototype._render=function(i,e,t){var n=t.sx,s=t.sy,r=t.sradius,a=t._start_angle,_=t._end_angle;if(this.visuals.line.doit)for(var o=this.model.properties.direction.value(),c=0,l=e;c1?(p[e]=d,x[e]=d/o):(p[e]=d*o,x[e]=d),this._render(t,[e],{sx:_,sy:l,sw:p,sh:x,_angle:[0]})},i.prototype._bounds=function(t){var i=t.x0,e=t.x1,s=t.y0,h=t.y1;return{x0:i-this.max_w2,x1:e+this.max_w2,y0:s-this.max_h2,y1:h+this.max_h2}},i}(h.CenterRotatableView);e.EllipseOvalView=a,a.__name__=\"EllipseOvalView\";var n=function(t){function i(i){return t.call(this,i)||this}return s.__extends(i,t),i}(h.CenterRotatable);e.EllipseOval=n,n.__name__=\"EllipseOval\"},\n", " function _(t,i,e){var s=t(113),h=t(312),r=t(121),n=function(t){function i(){return null!==t&&t.apply(this,arguments)||this}return s.__extends(i,t),i.prototype.scenterx=function(t){return(this.sleft[t]+this.sright[t])/2},i.prototype.scentery=function(t){return this.sy[t]},i.prototype._index_data=function(){return this._index_box(this._y.length)},i.prototype._lrtb=function(t){return[Math.min(this._left[t],this._right[t]),Math.max(this._left[t],this._right[t]),this._y[t]+.5*this._height[t],this._y[t]-.5*this._height[t]]},i.prototype._map_data=function(){this.sy=this.renderer.yscale.v_compute(this._y),this.sh=this.sdist(this.renderer.yscale,this._y,this._height,\"center\"),this.sleft=this.renderer.xscale.v_compute(this._left),this.sright=this.renderer.xscale.v_compute(this._right);var t=this.sy.length;this.stop=new Float64Array(t),this.sbottom=new Float64Array(t);for(var i=0;i0){i=this._image[t];var n=this._image_shape[t];this._height[t]=n[0],this._width[t]=n[1]}else{var r=this._image[t];i=s.concat(r),this._height[t]=r.length,this._width[t]=r[0].length}var _=e.v_compute(i);this._set_image_data_from_buffer(t,_)}},t.prototype._render=function(e,t,a){var i=a.image_data,n=a.sx,r=a.sy,_=a.sw,s=a.sh,o=e.getImageSmoothingEnabled();e.setImageSmoothingEnabled(!1),e.globalAlpha=this.model.global_alpha;for(var h=0,l=t;h0){i=this._image[t].buffer;var n=this._image_shape[t];this._height[t]=n[0],this._width[t]=n[1]}else{var h=this._image[t],s=r.concat(h);i=new ArrayBuffer(4*s.length);for(var _=new Uint32Array(i),l=0,o=s.length;l0&&(_[l]=u)}return h.indices=o.keys(_).map(function(t){return parseInt(t,10)}),h.multiline_indices=_,h},e.prototype.get_interpolation_hit=function(t,e,i){var n=[this._xs[t][e],this._ys[t][e],this._xs[t][e+1],this._ys[t][e+1]],s=n[0],r=n[1],o=n[2],h=n[3];return a.line_interpolation(this.renderer,i,s,r,o,h)},e.prototype.draw_legend_for_index=function(t,e,i){a.generic_line_legend(this.visuals,t,e,i)},e.prototype.scenterx=function(){throw new Error(\"not implemented\")},e.prototype.scentery=function(){throw new Error(\"not implemented\")},e}(l.GlyphView);i.MultiLineView=u,u.__name__=\"MultiLineView\";var p=function(t){function e(e){return t.call(this,e)||this}return n.__extends(e,t),e.init_MultiLine=function(){this.prototype.default_view=u,this.coords([[\"xs\",\"ys\"]]),this.mixins([\"line\"])},e}(l.Glyph);i.MultiLine=p,p.__name__=\"MultiLine\",p.init_MultiLine()},\n", " function _(t,i,e){var n=t(113),r=t(179),s=t(182),o=t(186),h=t(110),a=t(114),l=t(183),_=t(109),u=function(t){function i(){return null!==t&&t.apply(this,arguments)||this}return n.__extends(i,t),i.prototype._index_data=function(){for(var t=[],i=0,e=this._xs.length;i1)for(var o=1,a=this._xs[i][n].length;o1){for(var c=!1,x=1;x0;){var r=_.find_last_index(s,function(t){return h.isStrictNaN(t)}),o=void 0;r>=0?o=s.splice(r):(o=s,s=[]);var a=o.filter(function(t){return!h.isStrictNaN(t)});e[i].push(a)}}return e},e.prototype._index_data=function(){for(var t=this._build_discontinuous_object(this._xs),e=this._build_discontinuous_object(this._ys),i=[],n=0,r=this._xs.length;n=0,m=i-this.sy1[n]<=this.sh[n]&&i-this.sy1[n]>=0;m&&w&&p.push(n)}var M=a.create_empty_hit_test_result();return M.indices=p,M},s.prototype._map_dist_corner_for_data_side_length=function(t,s,i){for(var e=t.length,h=new Float64Array(e),r=new Float64Array(e),a=0;a1&&(e.stroke(),d=!1)}d?(e.lineTo(b,m),e.lineTo(g,w)):(e.beginPath(),e.moveTo(_[v],u[v]),d=!0),f=v}e.lineTo(_[h-1],u[h-1]),e.stroke()}},t.prototype.draw_legend_for_index=function(e,t,i){r.generic_line_legend(this.visuals,e,t,i)},t}(o.XYGlyphView);i.StepView=a,a.__name__=\"StepView\";var l=function(e){function t(t){return e.call(this,t)||this}return n.__extends(t,e),t.init_Step=function(){this.prototype.default_view=a,this.mixins([\"line\"]),this.define({mode:[s.StepMode,\"before\"]})},t}(o.XYGlyph);i.Step=l,l.__name__=\"Step\",l.init_Step()},\n", " function _(t,e,s){var i=t(113),n=t(178),r=t(183),_=t(121),o=t(226),h=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return i.__extends(e,t),e.prototype._rotate_point=function(t,e,s,i,n){return[(t-s)*Math.cos(n)-(e-i)*Math.sin(n)+s,(t-s)*Math.sin(n)+(e-i)*Math.cos(n)+i]},e.prototype._text_bounds=function(t,e,s,i){return[[t,t+s,t+s,t,t],[e,e,e-i,e-i,e]]},e.prototype._render=function(t,e,s){var i=s.sx,n=s.sy,r=s._x_offset,_=s._y_offset,h=s._angle,a=s._text;this._sys=[],this._sxs=[];for(var u=0,l=e;uo[1]&&(n=o[1]);else{i=o[0],n=o[1];for(var _=0,s=this.plot_view.axis_views;_0||v>0)return{width:y>0?y:void 0,height:v>0?v:void 0}}return{}})},i.prototype.serializable_state=function(){return Object.assign(Object.assign({},t.prototype.serializable_state.call(this)),{bbox:this.layout.bbox.box,children:this.child_views.map(function(t){return t.serializable_state()})})},i}(_.DOMView);e.LayoutDOMView=d,d.__name__=\"LayoutDOMView\";var c=function(t){function i(i){return t.call(this,i)||this}return o.__extends(i,t),i.init_LayoutDOM=function(){this.define({width:[h.Number,null],height:[h.Number,null],min_width:[h.Number,null],min_height:[h.Number,null],max_width:[h.Number,null],max_height:[h.Number,null],margin:[h.Any,[0,0,0,0]],width_policy:[h.Any,\"auto\"],height_policy:[h.Any,\"auto\"],aspect_ratio:[h.Any,null],sizing_mode:[h.SizingMode,null],visible:[h.Boolean,!0],disabled:[h.Boolean,!1],align:[h.Any,\"start\"],background:[h.Color,null],css_classes:[h.Array,[]]})},i}(n.Model);e.LayoutDOM=c,c.__name__=\"LayoutDOM\",c.init_LayoutDOM()},\n", " function _(t,n,i){var o=t(113),u=t(338),e=t(286),s=t(121),l=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return o.__extends(n,t),n.prototype._update_layout=function(){var t=this.child_views.map(function(t){return t.layout});this.layout=new e.Column(t),this.layout.rows=this.model.rows,this.layout.spacing=[this.model.spacing,0],this.layout.set_sizing(this.box_sizing())},n}(u.BoxView);i.ColumnView=l,l.__name__=\"ColumnView\";var _=function(t){function n(n){return t.call(this,n)||this}return o.__extends(n,t),n.init_Column=function(){this.prototype.default_view=l,this.define({rows:[s.Any,\"auto\"]})},n}(u.Box);i.Column=_,_.__name__=\"Column\",_.init_Column()},\n", " function _(t,i,n){var o=t(113),e=t(339),r=t(286),s=t(121),l=function(t){function i(){return null!==t&&t.apply(this,arguments)||this}return o.__extends(i,t),i.prototype.connect_signals=function(){var i=this;t.prototype.connect_signals.call(this),this.connect(this.model.properties.children.change,function(){return i.rebuild()})},Object.defineProperty(i.prototype,\"child_models\",{get:function(){return this.model.children.map(function(t){return t[0]})},enumerable:!0,configurable:!0}),i.prototype._update_layout=function(){this.layout=new r.Grid,this.layout.rows=this.model.rows,this.layout.cols=this.model.cols,this.layout.spacing=this.model.spacing;for(var t=0,i=this.model.children;tr?(this.wrapper_el.style.maxWidth=r-a.width+\"px\",l.display(this.scroll_el)):(this.wrapper_el.style.maxWidth=\"\",l.undisplay(this.scroll_el))}else{var n=this.header.bbox.height;s.height>n?(this.wrapper_el.style.maxHeight=n-a.height+\"px\",l.display(this.scroll_el)):(this.wrapper_el.style.maxHeight=\"\",l.undisplay(this.scroll_el))}for(var h=this.child_views,o=0,c=h;oi-1&&(t.model.active=i-1)}}),s.appendChild(n)}return s});this.headers_el=l.div({class:[d.bk_headers]},n),this.wrapper_el=l.div({class:d.bk_headers_wrapper},this.headers_el);var h=l.div({class:[_.bk_btn,_.bk_btn_default],disabled:\"\"},l.div({class:[u.bk_caret,c.bk_left]})),o=l.div({class:[_.bk_btn,_.bk_btn_default]},l.div({class:[u.bk_caret,c.bk_right]})),p=0,b=function(e){return function(){var i=t.model.tabs.length;0==(p=\"left\"==e?Math.max(p-1,0):Math.min(p+1,i-1))?h.setAttribute(\"disabled\",\"\"):h.removeAttribute(\"disabled\"),p==i-1?o.setAttribute(\"disabled\",\"\"):o.removeAttribute(\"disabled\");var a=l.children(t.headers_el).slice(0,p).map(function(e){return e.getBoundingClientRect()});if(s){var n=-r.sum(a.map(function(e){return e.width}));t.headers_el.style.left=n+\"px\"}else{var c=-r.sum(a.map(function(e){return e.height}));t.headers_el.style.top=c+\"px\"}}};h.addEventListener(\"click\",b(\"left\")),o.addEventListener(\"click\",b(\"right\")),this.scroll_el=l.div({class:_.bk_btn_group},h,o),this.header_el=l.div({class:[d.bk_tabs_header,c.bk_side(a)]},this.scroll_el,this.wrapper_el),this.el.appendChild(this.header_el)},t.prototype.change_active=function(e){e!=this.model.active&&(this.model.active=e,null!=this.model.callback&&this.model.callback.execute(this.model))},t.prototype.on_active_change=function(){for(var e=this.model.active,t=l.children(this.headers_el),i=0,a=t;i .bk-btn {\\n flex-grow: 0;\\n -webkit-flex-grow: 0;\\n height: auto;\\n padding: 4px 4px;\\n}\\n.bk-root .bk-tabs-header .bk-headers-wrapper {\\n flex-grow: 1;\\n -webkit-flex-grow: 1;\\n overflow: hidden;\\n color: #666666;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-headers-wrapper {\\n border-bottom: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-right .bk-headers-wrapper {\\n border-left: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-below .bk-headers-wrapper {\\n border-top: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-headers-wrapper {\\n border-right: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-above,\\n.bk-root .bk-tabs-header.bk-below {\\n flex-direction: row;\\n -webkit-flex-direction: row;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-headers,\\n.bk-root .bk-tabs-header.bk-below .bk-headers {\\n flex-direction: row;\\n -webkit-flex-direction: row;\\n}\\n.bk-root .bk-tabs-header.bk-left,\\n.bk-root .bk-tabs-header.bk-right {\\n flex-direction: column;\\n -webkit-flex-direction: column;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-headers,\\n.bk-root .bk-tabs-header.bk-right .bk-headers {\\n flex-direction: column;\\n -webkit-flex-direction: column;\\n}\\n.bk-root .bk-tabs-header .bk-headers {\\n position: relative;\\n display: flex;\\n display: -webkit-flex;\\n flex-wrap: nowrap;\\n -webkit-flex-wrap: nowrap;\\n align-items: center;\\n -webkit-align-items: center;\\n}\\n.bk-root .bk-tabs-header .bk-tab {\\n padding: 4px 8px;\\n border: solid transparent;\\n white-space: nowrap;\\n cursor: pointer;\\n}\\n.bk-root .bk-tabs-header .bk-tab:hover {\\n background-color: #f2f2f2;\\n}\\n.bk-root .bk-tabs-header .bk-tab.bk-active {\\n color: #4d4d4d;\\n background-color: white;\\n border-color: #e6e6e6;\\n}\\n.bk-root .bk-tabs-header .bk-tab .bk-close {\\n margin-left: 10px;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-tab {\\n border-width: 3px 1px 0px 1px;\\n border-radius: 4px 4px 0 0;\\n}\\n.bk-root .bk-tabs-header.bk-right .bk-tab {\\n border-width: 1px 3px 1px 0px;\\n border-radius: 0 4px 4px 0;\\n}\\n.bk-root .bk-tabs-header.bk-below .bk-tab {\\n border-width: 0px 1px 3px 1px;\\n border-radius: 0 0 4px 4px;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-tab {\\n border-width: 1px 0px 1px 3px;\\n border-radius: 4px 0 0 4px;\\n}\\n.bk-root .bk-close {\\n display: inline-block;\\n width: 10px;\\n height: 10px;\\n vertical-align: middle;\\n background-image: url(\\'data:image/svg+xml;utf8,\\\\\\n \\\\\\n \\\\\\n \\\\\\n \\');\\n}\\n.bk-root .bk-close:hover {\\n background-image: url(\\'data:image/svg+xml;utf8,\\\\\\n \\\\\\n \\\\\\n \\\\\\n \\');\\n}\\n'),n.bk_tabs_header=\"bk-tabs-header\",n.bk_headers_wrapper=\"bk-headers-wrapper\",n.bk_headers=\"bk-headers\",n.bk_tab=\"bk-tab\",n.bk_close=\"bk-close\"},\n", " function _(n,b,o){n(164),n(163).styles.append(\".bk-root .bk-btn {\\n height: 100%;\\n display: inline-block;\\n text-align: center;\\n vertical-align: middle;\\n white-space: nowrap;\\n cursor: pointer;\\n padding: 6px 12px;\\n font-size: 12px;\\n border: 1px solid transparent;\\n border-radius: 4px;\\n outline: 0;\\n user-select: none;\\n -ms-user-select: none;\\n -moz-user-select: none;\\n -webkit-user-select: none;\\n}\\n.bk-root .bk-btn:hover,\\n.bk-root .bk-btn:focus {\\n text-decoration: none;\\n}\\n.bk-root .bk-btn:active,\\n.bk-root .bk-btn.bk-active {\\n background-image: none;\\n box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\\n}\\n.bk-root .bk-btn[disabled] {\\n cursor: not-allowed;\\n pointer-events: none;\\n opacity: 0.65;\\n box-shadow: none;\\n}\\n.bk-root .bk-btn-default {\\n color: #333;\\n background-color: #fff;\\n border-color: #ccc;\\n}\\n.bk-root .bk-btn-default:hover {\\n background-color: #f5f5f5;\\n border-color: #b8b8b8;\\n}\\n.bk-root .bk-btn-default.bk-active {\\n background-color: #ebebeb;\\n border-color: #adadad;\\n}\\n.bk-root .bk-btn-default[disabled],\\n.bk-root .bk-btn-default[disabled]:hover,\\n.bk-root .bk-btn-default[disabled]:focus,\\n.bk-root .bk-btn-default[disabled]:active,\\n.bk-root .bk-btn-default[disabled].bk-active {\\n background-color: #e6e6e6;\\n border-color: #ccc;\\n}\\n.bk-root .bk-btn-primary {\\n color: #fff;\\n background-color: #428bca;\\n border-color: #357ebd;\\n}\\n.bk-root .bk-btn-primary:hover {\\n background-color: #3681c1;\\n border-color: #2c699e;\\n}\\n.bk-root .bk-btn-primary.bk-active {\\n background-color: #3276b1;\\n border-color: #285e8e;\\n}\\n.bk-root .bk-btn-primary[disabled],\\n.bk-root .bk-btn-primary[disabled]:hover,\\n.bk-root .bk-btn-primary[disabled]:focus,\\n.bk-root .bk-btn-primary[disabled]:active,\\n.bk-root .bk-btn-primary[disabled].bk-active {\\n background-color: #506f89;\\n border-color: #357ebd;\\n}\\n.bk-root .bk-btn-success {\\n color: #fff;\\n background-color: #5cb85c;\\n border-color: #4cae4c;\\n}\\n.bk-root .bk-btn-success:hover {\\n background-color: #4eb24e;\\n border-color: #409240;\\n}\\n.bk-root .bk-btn-success.bk-active {\\n background-color: #47a447;\\n border-color: #398439;\\n}\\n.bk-root .bk-btn-success[disabled],\\n.bk-root .bk-btn-success[disabled]:hover,\\n.bk-root .bk-btn-success[disabled]:focus,\\n.bk-root .bk-btn-success[disabled]:active,\\n.bk-root .bk-btn-success[disabled].bk-active {\\n background-color: #667b66;\\n border-color: #4cae4c;\\n}\\n.bk-root .bk-btn-warning {\\n color: #fff;\\n background-color: #f0ad4e;\\n border-color: #eea236;\\n}\\n.bk-root .bk-btn-warning:hover {\\n background-color: #eea43b;\\n border-color: #e89014;\\n}\\n.bk-root .bk-btn-warning.bk-active {\\n background-color: #ed9c28;\\n border-color: #d58512;\\n}\\n.bk-root .bk-btn-warning[disabled],\\n.bk-root .bk-btn-warning[disabled]:hover,\\n.bk-root .bk-btn-warning[disabled]:focus,\\n.bk-root .bk-btn-warning[disabled]:active,\\n.bk-root .bk-btn-warning[disabled].bk-active {\\n background-color: #c89143;\\n border-color: #eea236;\\n}\\n.bk-root .bk-btn-danger {\\n color: #fff;\\n background-color: #d9534f;\\n border-color: #d43f3a;\\n}\\n.bk-root .bk-btn-danger:hover {\\n background-color: #d5433e;\\n border-color: #bd2d29;\\n}\\n.bk-root .bk-btn-danger.bk-active {\\n background-color: #d2322d;\\n border-color: #ac2925;\\n}\\n.bk-root .bk-btn-danger[disabled],\\n.bk-root .bk-btn-danger[disabled]:hover,\\n.bk-root .bk-btn-danger[disabled]:focus,\\n.bk-root .bk-btn-danger[disabled]:active,\\n.bk-root .bk-btn-danger[disabled].bk-active {\\n background-color: #a55350;\\n border-color: #d43f3a;\\n}\\n.bk-root .bk-btn-group {\\n height: 100%;\\n display: flex;\\n display: -webkit-flex;\\n flex-wrap: nowrap;\\n -webkit-flex-wrap: nowrap;\\n align-items: center;\\n -webkit-align-items: center;\\n flex-direction: row;\\n -webkit-flex-direction: row;\\n}\\n.bk-root .bk-btn-group > .bk-btn {\\n flex-grow: 1;\\n -webkit-flex-grow: 1;\\n}\\n.bk-root .bk-btn-group > .bk-btn + .bk-btn {\\n margin-left: -1px;\\n}\\n.bk-root .bk-btn-group > .bk-btn:first-child:not(:last-child) {\\n border-bottom-right-radius: 0;\\n border-top-right-radius: 0;\\n}\\n.bk-root .bk-btn-group > .bk-btn:not(:first-child):last-child {\\n border-bottom-left-radius: 0;\\n border-top-left-radius: 0;\\n}\\n.bk-root .bk-btn-group > .bk-btn:not(:first-child):not(:last-child) {\\n border-radius: 0;\\n}\\n.bk-root .bk-btn-group .bk-dropdown-toggle {\\n flex: 0 0 0;\\n -webkit-flex: 0 0 0;\\n padding: 6px 6px;\\n}\\n\"),o.bk_btn=\"bk-btn\",o.bk_btn_group=\"bk-btn-group\",o.bk_btn_default=\"bk-btn-default\",o.bk_btn_primary=\"bk-btn-primary\",o.bk_btn_success=\"bk-btn-success\",o.bk_btn_warning=\"bk-btn-warning\",o.bk_btn_danger=\"bk-btn-danger\",o.bk_btn_type=function(n){switch(n){case\"default\":return o.bk_btn_default;case\"primary\":return o.bk_btn_primary;case\"success\":return o.bk_btn_success;case\"warning\":return o.bk_btn_warning;case\"danger\":return o.bk_btn_danger}},o.bk_dropdown_toggle=\"bk-dropdown-toggle\"},\n", " function _(n,o,r){n(164),n(163).styles.append(\".bk-root .bk-menu {\\n position: absolute;\\n left: 0;\\n width: 100%;\\n z-index: 100;\\n cursor: pointer;\\n font-size: 12px;\\n background-color: #fff;\\n border: 1px solid #ccc;\\n border-radius: 4px;\\n box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);\\n}\\n.bk-root .bk-menu.bk-above {\\n bottom: 100%;\\n}\\n.bk-root .bk-menu.bk-below {\\n top: 100%;\\n}\\n.bk-root .bk-menu > .bk-divider {\\n height: 1px;\\n margin: 7.5px 0;\\n overflow: hidden;\\n background-color: #e5e5e5;\\n}\\n.bk-root .bk-menu > :not(.bk-divider) {\\n padding: 6px 12px;\\n}\\n.bk-root .bk-menu > :not(.bk-divider):hover,\\n.bk-root .bk-menu > :not(.bk-divider).bk-active {\\n background-color: #e6e6e6;\\n}\\n.bk-root .bk-caret {\\n display: inline-block;\\n vertical-align: middle;\\n width: 0;\\n height: 0;\\n margin: 0 5px;\\n}\\n.bk-root .bk-caret.bk-down {\\n border-top: 4px solid;\\n}\\n.bk-root .bk-caret.bk-up {\\n border-bottom: 4px solid;\\n}\\n.bk-root .bk-caret.bk-down,\\n.bk-root .bk-caret.bk-up {\\n border-right: 4px solid transparent;\\n border-left: 4px solid transparent;\\n}\\n.bk-root .bk-caret.bk-left {\\n border-right: 4px solid;\\n}\\n.bk-root .bk-caret.bk-right {\\n border-left: 4px solid;\\n}\\n.bk-root .bk-caret.bk-left,\\n.bk-root .bk-caret.bk-right {\\n border-top: 4px solid transparent;\\n border-bottom: 4px solid transparent;\\n}\\n\"),r.bk_menu=\"bk-menu\",r.bk_caret=\"bk-caret\",r.bk_divider=\"bk-divider\"},\n", " function _(t,i,n){var e=t(113),o=t(340),_=function(t){function i(){return null!==t&&t.apply(this,arguments)||this}return e.__extends(i,t),i}(o.ColumnView);n.WidgetBoxView=_,_.__name__=\"WidgetBoxView\";var u=function(t){function i(i){return t.call(this,i)||this}return e.__extends(i,t),i.init_WidgetBox=function(){this.prototype.default_view=_},i}(o.Column);n.WidgetBox=u,u.__name__=\"WidgetBox\",u.init_WidgetBox()},\n", " function _(r,a,o){var p=r(351);o.CategoricalColorMapper=p.CategoricalColorMapper;var e=r(353);o.CategoricalMarkerMapper=e.CategoricalMarkerMapper;var C=r(354);o.CategoricalPatternMapper=C.CategoricalPatternMapper;var l=r(211);o.ContinuousColorMapper=l.ContinuousColorMapper;var M=r(212);o.ColorMapper=M.ColorMapper;var t=r(210);o.LinearColorMapper=t.LinearColorMapper;var i=r(355);o.LogColorMapper=i.LogColorMapper},\n", " function _(t,r,o){var a=t(113),e=t(352),n=t(212),i=t(121),c=function(t){function r(r){return t.call(this,r)||this}return a.__extends(r,t),r.init_CategoricalColorMapper=function(){this.define({factors:[i.Array],start:[i.Number,0],end:[i.Number]})},r.prototype._v_compute=function(t,r,o,a){var n=a.nan_color;e.cat_v_compute(t,this.factors,o,r,this.start,this.end,n)},r}(n.ColorMapper);o.CategoricalColorMapper=c,c.__name__=\"CategoricalColorMapper\",c.init_CategoricalColorMapper()},\n", " function _(n,t,e){var i=n(114),l=n(109);function r(n,t){if(n.length!=t.length)return!1;for(var e=0,i=n.length;e=e.length?c:e[g],u[a]=d},v=0,_=n.length;v<_;v++)a(v)}},\n", " function _(r,e,t){var a=r(113),i=r(352),n=r(213),c=r(121),u=function(r){function e(e){return r.call(this,e)||this}return a.__extends(e,r),e.init_CategoricalMarkerMapper=function(){this.define({factors:[c.Array],markers:[c.Array],start:[c.Number,0],end:[c.Number],default_value:[c.MarkerType,\"circle\"]})},e.prototype.v_compute=function(r){var e=new Array(r.length);return i.cat_v_compute(r,this.factors,this.markers,e,this.start,this.end,this.default_value),e},e}(n.Mapper);t.CategoricalMarkerMapper=u,u.__name__=\"CategoricalMarkerMapper\",u.init_CategoricalMarkerMapper()},\n", " function _(t,e,a){var r=t(113),n=t(352),i=t(213),p=t(121),c=function(t){function e(e){return t.call(this,e)||this}return r.__extends(e,t),e.init_CategoricalPatternMapper=function(){this.define({factors:[p.Array],patterns:[p.Array],start:[p.Number,0],end:[p.Number],default_value:[p.HatchPatternType,\" \"]})},e.prototype.v_compute=function(t){var e=new Array(t.length);return n.cat_v_compute(t,this.factors,this.patterns,e,this.start,this.end,this.default_value),e},e}(i.Mapper);a.CategoricalPatternMapper=c,c.__name__=\"CategoricalPatternMapper\",c.init_CategoricalPatternMapper()},\n", " function _(o,l,n){var t=o(113),e=o(211),r=o(114),i=null!=Math.log1p?Math.log1p:function(o){return Math.log(1+o)},h=function(o){function l(l){return o.call(this,l)||this}return t.__extends(l,o),l.prototype._v_compute=function(o,l,n,t){for(var e=t.nan_color,h=t.low_color,a=t.high_color,u=n.length,s=null!=this.low?this.low:r.min(o),_=null!=this.high?this.high:r.max(o),f=u/(i(_)-i(s)),g=n.length-1,p=0,c=o.length;p_)l[p]=null!=a?a:n[g];else if(M!=_)if(Mg&&(m=g),l[p]=n[m]}else l[p]=n[g]}},l}(e.ContinuousColorMapper);n.LogColorMapper=h,h.__name__=\"LogColorMapper\"},\n", " function _(r,a,t){!function(r){for(var a in r)t.hasOwnProperty(a)||(t[a]=r[a])}(r(357));var n=r(358);t.Marker=n.Marker;var e=r(359);t.Scatter=e.Scatter},\n", " function _(e,t,o){var i=e(113),r=e(358),n=Math.sqrt(3);function s(e,t){e.moveTo(-t,t),e.lineTo(t,-t),e.moveTo(-t,-t),e.lineTo(t,t)}function c(e,t){e.moveTo(0,t),e.lineTo(0,-t),e.moveTo(-t,0),e.lineTo(t,0)}function l(e,t){e.moveTo(0,t),e.lineTo(t/1.5,0),e.lineTo(0,-t),e.lineTo(-t/1.5,0),e.closePath()}function a(e,t){var o=t*n,i=o/3;e.moveTo(-t,i),e.lineTo(t,i),e.lineTo(0,i-o),e.closePath()}function u(e,t,o,i,r){var n=.65*o;c(e,o),s(e,n),i.doit&&(i.set_vectorize(e,t),e.stroke())}function v(e,t,o,i,r){e.arc(0,0,o,0,2*Math.PI,!1),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),c(e,o),e.stroke())}function _(e,t,o,i,r){e.arc(0,0,o,0,2*Math.PI,!1),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),s(e,o),e.stroke())}function d(e,t,o,i,r){c(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function f(e,t,o,i,r){l(e,o),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function T(e,t,o,i,r){l(e,o),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),c(e,o),e.stroke())}function z(e,t,o,i,r){!function(e,t){var o=t/2,i=n*o;e.moveTo(t,0),e.lineTo(o,-i),e.lineTo(-o,-i),e.lineTo(-t,0),e.lineTo(-o,i),e.lineTo(o,i),e.closePath()}(e,o),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function k(e,t,o,i,r){e.rotate(Math.PI),a(e,o),e.rotate(-Math.PI),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function h(e,t,o,i,r){var n=2*o;e.rect(-o,-o,n,n),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function m(e,t,o,i,r){var n=2*o;e.rect(-o,-o,n,n),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),c(e,o),e.stroke())}function C(e,t,o,i,r){var n=2*o;e.rect(-o,-o,n,n),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),s(e,o),e.stroke())}function q(e,t,o,i,r){a(e,o),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function p(e,t,o,i,r){!function(e,t){e.moveTo(-t,0),e.lineTo(t,0)}(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function x(e,t,o,i,r){s(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function M(e,t){var o,n=function(e){function o(){return null!==e&&e.apply(this,arguments)||this}return i.__extends(o,e),o.initClass=function(){this.prototype._render_one=t},o}(r.MarkerView);n.initClass();var s=((o=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return i.__extends(t,e),t.initClass=function(){this.prototype.default_view=n},t}(r.Marker)).__name__=e,o);return s.initClass(),s}o.Asterisk=M(\"Asterisk\",u),o.CircleCross=M(\"CircleCross\",v),o.CircleX=M(\"CircleX\",_),o.Cross=M(\"Cross\",d),o.Dash=M(\"Dash\",p),o.Diamond=M(\"Diamond\",f),o.DiamondCross=M(\"DiamondCross\",T),o.Hex=M(\"Hex\",z),o.InvertedTriangle=M(\"InvertedTriangle\",k),o.Square=M(\"Square\",h),o.SquareCross=M(\"SquareCross\",m),o.SquareX=M(\"SquareX\",C),o.Triangle=M(\"Triangle\",q),o.X=M(\"X\",x),o.marker_funcs={asterisk:u,circle:function(e,t,o,i,r){e.arc(0,0,o,0,2*Math.PI,!1),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())},circle_cross:v,circle_x:_,cross:d,diamond:f,diamond_cross:T,hex:z,inverted_triangle:k,square:h,square_cross:m,square_x:C,triangle:q,dash:p,x:x}},\n", " function _(e,t,r){var i=e(113),s=e(178),n=e(183),a=e(121),_=e(110),h=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return i.__extends(t,e),t.prototype._render=function(e,t,r){for(var i=r.sx,s=r.sy,n=r._size,a=r._angle,_=0,h=t;_#grayscale\\\");\\n /* Firefox 10+, Firefox on Android */\\n filter: gray;\\n /* IE6-9 */\\n -webkit-filter: grayscale(100%);\\n /* Chrome 19+, Safari 6+, Safari 6+ iOS */\\n}\\n.bk-root .bk-logo-small {\\n width: 20px;\\n height: 20px;\\n background-image: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAUCAYAAACNiR0NAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAABx0RVh0U29mdHdhcmUAQWRvYmUgRmlyZXdvcmtzIENTNui8sowAAAOkSURBVDiNjZRtaJVlGMd/1/08zzln5zjP1LWcU9N0NkN8m2CYjpgQYQXqSs0I84OLIC0hkEKoPtiH3gmKoiJDU7QpLgoLjLIQCpEsNJ1vqUOdO7ppbuec5+V+rj4ctwzd8IIbbi6u+8f1539dt3A78eXC7QizUF7gyV1fD1Yqg4JWz84yffhm0qkFqBogB9rM8tZdtwVsPUhWhGcFJngGeWrPzHm5oaMmkfEg1usvLFyc8jLRqDOMru7AyC8saQr7GG7f5fvDeH7Ej8CM66nIF+8yngt6HWaKh7k49Soy9nXurCi1o3qUbS3zWfrYeQDTB/Qj6kX6Ybhw4B+bOYoLKCC9H3Nu/leUTZ1JdRWkkn2ldcCamzrcf47KKXdAJllSlxAOkRgyHsGC/zRday5Qld9DyoM4/q/rUoy/CXh3jzOu3bHUVZeU+DEn8FInkPBFlu3+nW3Nw0mk6vCDiWg8CeJaxEwuHS3+z5RgY+YBR6V1Z1nxSOfoaPa4LASWxxdNp+VWTk7+4vzaou8v8PN+xo+KY2xsw6une2frhw05CTYOmQvsEhjhWjn0bmXPjpE1+kplmmkP3suftwTubK9Vq22qKmrBhpY4jvd5afdRA3wGjFAgcnTK2s4hY0/GPNIb0nErGMCRxWOOX64Z8RAC4oCXdklmEvcL8o0BfkNK4lUg9HTl+oPlQxdNo3Mg4Nv175e/1LDGzZen30MEjRUtmXSfiTVu1kK8W4txyV6BMKlbgk3lMwYCiusNy9fVfvvwMxv8Ynl6vxoByANLTWplvuj/nF9m2+PDtt1eiHPBr1oIfhCChQMBw6Aw0UulqTKZdfVvfG7VcfIqLG9bcldL/+pdWTLxLUy8Qq38heUIjh4XlzZxzQm19lLFlr8vdQ97rjZVOLf8nclzckbcD4wxXMidpX30sFd37Fv/GtwwhzhxGVAprjbg0gCAEeIgwCZyTV2Z1REEW8O4py0wsjeloKoMr6iCY6dP92H6Vw/oTyICIthibxjm/DfN9lVz8IqtqKYLUXfoKVMVQVVJOElGjrnnUt9T9wbgp8AyYKaGlqingHZU/uG2NTZSVqwHQTWkx9hxjkpWDaCg6Ckj5qebgBVbT3V3NNXMSiWSDdGV3hrtzla7J+duwPOToIg42ChPQOQjspnSlp1V+Gjdged7+8UN5CRAV7a5EdFNwCjEaBR27b3W890TE7g24NAP/mMDXRWrGoFPQI9ls/MWO2dWFAar/xcOIImbbpA3zgAAAABJRU5ErkJggg==);\\n}\\n.bk-root .bk-logo-notebook {\\n display: inline-block;\\n vertical-align: middle;\\n margin-right: 5px;\\n}\\n\"),g.bk_logo=\"bk-logo\",g.bk_logo_notebook=\"bk-logo-notebook\",g.bk_logo_small=\"bk-logo-small\",g.bk_grey=\"bk-grey\"},\n", " function _(t,e,i){var n=t(113),s=this&&this.__rest||function(t,e){var i={};for(var n in t)Object.prototype.hasOwnProperty.call(t,n)&&e.indexOf(n)<0&&(i[n]=t[n]);if(null!=t&&\"function\"==typeof Object.getOwnPropertySymbols){var s=0;for(n=Object.getOwnPropertySymbols(t);s=0},i.prototype.can_redo=function(){return this.state.index=h.end&&(s=!0,h.end=d,(e||i)&&(h.start=d+c)),null!=p&&p<=h.start&&(s=!0,h.start=p,(e||i)&&(h.end=p-c))):(null!=d&&d>=h.start&&(s=!0,h.start=d,(e||i)&&(h.end=d+c)),null!=p&&p<=h.end&&(s=!0,h.end=p,(e||i)&&(h.start=p-c)))}}if(!(i&&s&&n))for(var v=0,g=t;v0&&_0&&_>n&&(l=(n-h)/(_-h)),l=Math.max(0,Math.min(1,l))}return l},i.prototype.update_range=function(t,e,i,n){void 0===e&&(e=!1),void 0===i&&(i=!1),void 0===n&&(n=!0),this.pause();var s=this.frame,r=s.x_ranges,a=s.y_ranges;if(null==t){for(var o in r){(h=r[o]).reset()}for(var o in a){(h=a[o]).reset()}this.update_dataranges()}else{var l=[];for(var o in r){var h=r[o];l.push([h,t.xrs[o]])}for(var o in a){h=a[o];l.push([h,t.yrs[o]])}i&&this._update_ranges_together(l),this._update_ranges_individually(l,e,i,n)}this.unpause()},i.prototype.reset_range=function(){this.update_range(null)},i.prototype._invalidate_layout=function(){var t=this;(function(){for(var e=0,i=t.model.side_panels;e=0&&it.model.lod_timeout&&e.interactive_stop(t.model),t.request_paint()},this.model.lod_timeout):e.interactive_stop(this.model)}for(var n in this.renderer_views){var s=this.renderer_views[n];if(null==this.range_update_timestamp||s instanceof l.GlyphRendererView&&s.set_data_timestamp>this.range_update_timestamp){this.update_dataranges();break}}var r=this.canvas_view.ctx,a=this.canvas.pixel_ratio;r.save(),r.scale(a,a),r.translate(.5,.5);var o=[this.frame._left.value,this.frame._top.value,this.frame._width.value,this.frame._height.value];if(this._map_hook(r,o),this._paint_empty(r,o),this.prepare_webgl(a,o),this.clear_webgl(),this.visuals.outline_line.doit){r.save(),this.visuals.outline_line.set_value(r);var h=o[0],_=o[1],u=o[2],d=o[3];h+u==this.layout._width.value&&(u-=1),_+d==this.layout._height.value&&(d-=1),r.strokeRect(h,_,u,d),r.restore()}this._paint_levels(r,[\"image\",\"underlay\",\"glyph\"],o,!0),this._paint_levels(r,[\"annotation\"],o,!1),this._paint_levels(r,[\"overlay\"],o,!1),null==this._initial_state_info.range&&this.set_initial_range(),r.restore()}},i.prototype._paint_levels=function(t,e,i,n){for(var s=0,r=e;s=0;i--)(_=t[i])&&(s=(o<3?_(s):o>3?_(n,e,s):_(n,e))||s);return o>3&&s&&Object.defineProperty(n,e,s),s};function o(t){return function(n){n.prototype.event_name=t}}var s=function(){function t(){}return t.prototype.to_json=function(){return{event_name:this.event_name,event_values:this._to_json()}},t.prototype._to_json=function(){var t=this.origin;return{model_id:null!=t?t.id:null}},t}();e.BokehEvent=s,s.__name__=\"BokehEvent\";var i=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return r.__extends(n,t),n}(s);i.__name__=\"ButtonClick\",i=_([o(\"button_click\")],i),e.ButtonClick=i;var a=function(t){function n(n){var e=t.call(this)||this;return e.item=n,e}return r.__extends(n,t),n.prototype._to_json=function(){var n=this.item;return Object.assign(Object.assign({},t.prototype._to_json.call(this)),{item:n})},n}(s);a.__name__=\"MenuItemClick\",a=_([o(\"menu_item_click\")],a),e.MenuItemClick=a;var u=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return r.__extends(n,t),n}(s);e.UIEvent=u,u.__name__=\"UIEvent\";var l=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return r.__extends(n,t),n}(u);l.__name__=\"LODStart\",l=_([o(\"lodstart\")],l),e.LODStart=l;var c=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return r.__extends(n,t),n}(u);c.__name__=\"LODEnd\",c=_([o(\"lodend\")],c),e.LODEnd=c;var p=function(t){function n(n,e){var r=t.call(this)||this;return r.geometry=n,r.final=e,r}return r.__extends(n,t),n.prototype._to_json=function(){var n=this.geometry,e=this.final;return Object.assign(Object.assign({},t.prototype._to_json.call(this)),{geometry:n,final:e})},n}(u);p.__name__=\"SelectionGeometry\",p=_([o(\"selectiongeometry\")],p),e.SelectionGeometry=p;var h=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return r.__extends(n,t),n}(u);h.__name__=\"Reset\",h=_([o(\"reset\")],h),e.Reset=h;var f=function(t){function n(n,e,r,_){var o=t.call(this)||this;return o.sx=n,o.sy=e,o.x=r,o.y=_,o}return r.__extends(n,t),n.prototype._to_json=function(){var n=this.sx,e=this.sy,r=this.x,_=this.y;return Object.assign(Object.assign({},t.prototype._to_json.call(this)),{sx:n,sy:e,x:r,y:_})},n}(u);e.PointEvent=f,f.__name__=\"PointEvent\";var y=function(t){function n(n,e,r,_,o,s){var i=t.call(this,n,e,r,_)||this;return i.sx=n,i.sy=e,i.x=r,i.y=_,i.delta_x=o,i.delta_y=s,i}return r.__extends(n,t),n.prototype._to_json=function(){var n=this.delta_x,e=this.delta_y;return Object.assign(Object.assign({},t.prototype._to_json.call(this)),{delta_x:n,delta_y:e})},n}(f);y.__name__=\"Pan\",y=_([o(\"pan\")],y),e.Pan=y;var v=function(t){function n(n,e,r,_,o){var s=t.call(this,n,e,r,_)||this;return s.sx=n,s.sy=e,s.x=r,s.y=_,s.scale=o,s}return r.__extends(n,t),n.prototype._to_json=function(){var n=this.scale;return Object.assign(Object.assign({},t.prototype._to_json.call(this)),{scale:n})},n}(f);v.__name__=\"Pinch\",v=_([o(\"pinch\")],v),e.Pinch=v;var d=function(t){function n(n,e,r,_,o){var s=t.call(this,n,e,r,_)||this;return s.sx=n,s.sy=e,s.x=r,s.y=_,s.rotation=o,s}return r.__extends(n,t),n.prototype._to_json=function(){var n=this.rotation;return Object.assign(Object.assign({},t.prototype._to_json.call(this)),{rotation:n})},n}(f);d.__name__=\"Rotate\",d=_([o(\"rotate\")],d),e.Rotate=d;var m=function(t){function n(n,e,r,_,o){var s=t.call(this,n,e,r,_)||this;return s.sx=n,s.sy=e,s.x=r,s.y=_,s.delta=o,s}return r.__extends(n,t),n.prototype._to_json=function(){var n=this.delta;return Object.assign(Object.assign({},t.prototype._to_json.call(this)),{delta:n})},n}(f);m.__name__=\"MouseWheel\",m=_([o(\"wheel\")],m),e.MouseWheel=m;var x=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return r.__extends(n,t),n}(f);x.__name__=\"MouseMove\",x=_([o(\"mousemove\")],x),e.MouseMove=x;var j=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return r.__extends(n,t),n}(f);j.__name__=\"MouseEnter\",j=_([o(\"mouseenter\")],j),e.MouseEnter=j;var g=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return r.__extends(n,t),n}(f);g.__name__=\"MouseLeave\",g=_([o(\"mouseleave\")],g),e.MouseLeave=g;var b=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return r.__extends(n,t),n}(f);b.__name__=\"Tap\",b=_([o(\"tap\")],b),e.Tap=b;var O=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return r.__extends(n,t),n}(f);O.__name__=\"DoubleTap\",O=_([o(\"doubletap\")],O),e.DoubleTap=O;var P=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return r.__extends(n,t),n}(f);P.__name__=\"Press\",P=_([o(\"press\")],P),e.Press=P;var E=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return r.__extends(n,t),n}(f);E.__name__=\"PressUp\",E=_([o(\"pressup\")],E),e.PressUp=E;var M=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return r.__extends(n,t),n}(f);M.__name__=\"PanStart\",M=_([o(\"panstart\")],M),e.PanStart=M;var R=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return r.__extends(n,t),n}(f);R.__name__=\"PanEnd\",R=_([o(\"panend\")],R),e.PanEnd=R;var S=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return r.__extends(n,t),n}(f);S.__name__=\"PinchStart\",S=_([o(\"pinchstart\")],S),e.PinchStart=S;var k=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return r.__extends(n,t),n}(f);k.__name__=\"PinchEnd\",k=_([o(\"pinchend\")],k),e.PinchEnd=k;var D=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return r.__extends(n,t),n}(f);D.__name__=\"RotateStart\",D=_([o(\"rotatestart\")],D),e.RotateStart=D;var L=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return r.__extends(n,t),n}(f);L.__name__=\"RotateEnd\",L=_([o(\"rotateend\")],L),e.RotateEnd=L},\n", " function _(n,e,i){var o=(\"undefined\"!=typeof window?window.requestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.webkitRequestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.mozRequestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.msRequestAnimationFrame:void 0)||function(n){return n(Date.now()),-1};i.throttle=function(n,e){var i=null,t=0,u=!1,d=function(){t=Date.now(),i=null,u=!1,n()};return function(){var n=Date.now(),w=e-(n-t);w<=0&&!u?(null!=i&&clearTimeout(i),u=!0,o(d)):i||u||(i=setTimeout(function(){return o(d)},w))}}},\n", " function _(e,t,i){var l=e(113),r=e(283),a=e(284),o=e(109),n=Math.PI/2,h=\"left\",s=\"center\",d={above:{parallel:0,normal:-n,horizontal:0,vertical:-n},below:{parallel:0,normal:n,horizontal:0,vertical:n},left:{parallel:-n,normal:0,horizontal:0,vertical:-n},right:{parallel:n,normal:0,horizontal:0,vertical:n}},c={above:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"alphabetic\",vertical:\"middle\"},below:{justified:\"bottom\",parallel:\"hanging\",normal:\"middle\",horizontal:\"hanging\",vertical:\"middle\"},left:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"middle\",vertical:\"alphabetic\"},right:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"middle\",vertical:\"alphabetic\"}},p={above:{justified:s,parallel:s,normal:h,horizontal:s,vertical:h},below:{justified:s,parallel:s,normal:h,horizontal:s,vertical:h},left:{justified:s,parallel:s,normal:\"right\",horizontal:\"right\",vertical:s},right:{justified:s,parallel:s,normal:h,horizontal:h,vertical:s}},b={above:\"right\",below:h,left:\"right\",right:h},_={above:h,below:\"right\",left:\"right\",right:h},m=function(e){function t(t,i){var l=e.call(this)||this;switch(l.side=t,l.obj=i,l.side){case\"above\":l._dim=0,l._normals=[0,-1];break;case\"below\":l._dim=0,l._normals=[0,1];break;case\"left\":l._dim=1,l._normals=[-1,0];break;case\"right\":l._dim=1,l._normals=[1,0];break;default:throw new Error(\"unreachable\")}return l.is_horizontal?l.set_sizing({width_policy:\"max\",height_policy:\"fixed\"}):l.set_sizing({width_policy:\"fixed\",height_policy:\"max\"}),l}return l.__extends(t,e),t.prototype._content_size=function(){return new r.Sizeable(this.get_oriented_size())},t.prototype.get_oriented_size=function(){var e=this.obj.get_size(),t=e.width,i=e.height;return!this.obj.rotate||this.is_horizontal?{width:t,height:i}:{width:i,height:t}},t.prototype.has_size_changed=function(){var e=this.get_oriented_size(),t=e.width,i=e.height;return this.is_horizontal?this.bbox.height!=i:this.bbox.width!=t},Object.defineProperty(t.prototype,\"dimension\",{get:function(){return this._dim},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"normals\",{get:function(){return this._normals},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"is_horizontal\",{get:function(){return 0==this._dim},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"is_vertical\",{get:function(){return 1==this._dim},enumerable:!0,configurable:!0}),t.prototype.apply_label_text_heuristics=function(e,t){var i,l,r=this.side;o.isString(t)?(i=c[r][t],l=p[r][t]):0===t?(i=\"whatever\",l=\"whatever\"):t<0?(i=\"middle\",l=b[r]):(i=\"middle\",l=_[r]),e.textBaseline=i,e.textAlign=l},t.prototype.get_label_angle_heuristic=function(e){return d[this.side][e]},t}(a.ContentLayoutable);i.SidePanel=m,m.__name__=\"SidePanel\"},\n", " function _(t,e,n){var i=t(380),r=t(116),s=t(167),o=t(163),a=t(381),_=t(110),h=t(125),p=t(109),c=t(197),u=t(376),l=function(){function t(t,e,n){var s=this;this.plot_view=t,this.toolbar=e,this.hit_area=n,this.pan_start=new r.Signal(this,\"pan:start\"),this.pan=new r.Signal(this,\"pan\"),this.pan_end=new r.Signal(this,\"pan:end\"),this.pinch_start=new r.Signal(this,\"pinch:start\"),this.pinch=new r.Signal(this,\"pinch\"),this.pinch_end=new r.Signal(this,\"pinch:end\"),this.rotate_start=new r.Signal(this,\"rotate:start\"),this.rotate=new r.Signal(this,\"rotate\"),this.rotate_end=new r.Signal(this,\"rotate:end\"),this.tap=new r.Signal(this,\"tap\"),this.doubletap=new r.Signal(this,\"doubletap\"),this.press=new r.Signal(this,\"press\"),this.pressup=new r.Signal(this,\"pressup\"),this.move_enter=new r.Signal(this,\"move:enter\"),this.move=new r.Signal(this,\"move\"),this.move_exit=new r.Signal(this,\"move:exit\"),this.scroll=new r.Signal(this,\"scroll\"),this.keydown=new r.Signal(this,\"keydown\"),this.keyup=new r.Signal(this,\"keyup\"),this.hammer=new i(this.hit_area,{touchAction:\"auto\"}),this._configure_hammerjs(),this.hit_area.addEventListener(\"mousemove\",function(t){return s._mouse_move(t)}),this.hit_area.addEventListener(\"mouseenter\",function(t){return s._mouse_enter(t)}),this.hit_area.addEventListener(\"mouseleave\",function(t){return s._mouse_exit(t)}),this.hit_area.addEventListener(\"wheel\",function(t){return s._mouse_wheel(t)}),document.addEventListener(\"keydown\",this),document.addEventListener(\"keyup\",this)}return t.prototype.destroy=function(){this.hammer.destroy(),document.removeEventListener(\"keydown\",this),document.removeEventListener(\"keyup\",this)},t.prototype.handleEvent=function(t){\"keydown\"==t.type?this._key_down(t):\"keyup\"==t.type&&this._key_up(t)},t.prototype._configure_hammerjs=function(){var t=this;this.hammer.get(\"doubletap\").recognizeWith(\"tap\"),this.hammer.get(\"tap\").requireFailure(\"doubletap\"),this.hammer.get(\"doubletap\").dropRequireFailure(\"tap\"),this.hammer.on(\"doubletap\",function(e){return t._doubletap(e)}),this.hammer.on(\"tap\",function(e){return t._tap(e)}),this.hammer.on(\"press\",function(e){return t._press(e)}),this.hammer.on(\"pressup\",function(e){return t._pressup(e)}),this.hammer.get(\"pan\").set({direction:i.DIRECTION_ALL}),this.hammer.on(\"panstart\",function(e){return t._pan_start(e)}),this.hammer.on(\"pan\",function(e){return t._pan(e)}),this.hammer.on(\"panend\",function(e){return t._pan_end(e)}),this.hammer.get(\"pinch\").set({enable:!0}),this.hammer.on(\"pinchstart\",function(e){return t._pinch_start(e)}),this.hammer.on(\"pinch\",function(e){return t._pinch(e)}),this.hammer.on(\"pinchend\",function(e){return t._pinch_end(e)}),this.hammer.get(\"rotate\").set({enable:!0}),this.hammer.on(\"rotatestart\",function(e){return t._rotate_start(e)}),this.hammer.on(\"rotate\",function(e){return t._rotate(e)}),this.hammer.on(\"rotateend\",function(e){return t._rotate_end(e)})},t.prototype.register_tool=function(t){var e=this,n=t.model.event_type;null!=n&&(p.isString(n)?this._register_tool(t,n):n.forEach(function(n,i){return e._register_tool(t,n,i<1)}))},t.prototype._register_tool=function(t,e,n){void 0===n&&(n=!0);var i=t,r=i.model.id,o=function(t){return function(e){e.id==r&&t(e.e)}},a=function(t){return function(e){t(e.e)}};switch(e){case\"pan\":null!=i._pan_start&&i.connect(this.pan_start,o(i._pan_start.bind(i))),null!=i._pan&&i.connect(this.pan,o(i._pan.bind(i))),null!=i._pan_end&&i.connect(this.pan_end,o(i._pan_end.bind(i)));break;case\"pinch\":null!=i._pinch_start&&i.connect(this.pinch_start,o(i._pinch_start.bind(i))),null!=i._pinch&&i.connect(this.pinch,o(i._pinch.bind(i))),null!=i._pinch_end&&i.connect(this.pinch_end,o(i._pinch_end.bind(i)));break;case\"rotate\":null!=i._rotate_start&&i.connect(this.rotate_start,o(i._rotate_start.bind(i))),null!=i._rotate&&i.connect(this.rotate,o(i._rotate.bind(i))),null!=i._rotate_end&&i.connect(this.rotate_end,o(i._rotate_end.bind(i)));break;case\"move\":null!=i._move_enter&&i.connect(this.move_enter,o(i._move_enter.bind(i))),null!=i._move&&i.connect(this.move,o(i._move.bind(i))),null!=i._move_exit&&i.connect(this.move_exit,o(i._move_exit.bind(i)));break;case\"tap\":null!=i._tap&&i.connect(this.tap,o(i._tap.bind(i)));break;case\"press\":null!=i._press&&i.connect(this.press,o(i._press.bind(i))),null!=i._pressup&&i.connect(this.pressup,o(i._pressup.bind(i)));break;case\"scroll\":null!=i._scroll&&i.connect(this.scroll,o(i._scroll.bind(i)));break;default:throw new Error(\"unsupported event_type: \"+e)}n&&(null!=i._doubletap&&i.connect(this.doubletap,a(i._doubletap.bind(i))),null!=i._keydown&&i.connect(this.keydown,a(i._keydown.bind(i))),null!=i._keyup&&i.connect(this.keyup,a(i._keyup.bind(i))),c.is_mobile&&null!=i._scroll&&\"pinch\"==e&&(s.logger.debug(\"Registering scroll on touch screen\"),i.connect(this.scroll,o(i._scroll.bind(i)))))},t.prototype._hit_test_renderers=function(t,e){for(var n=this.plot_view.get_renderer_views(),i=0,r=_.reversed(n);i\\s*\\(/gm,\"{anonymous}()@\"):\"Unknown Stack Trace\",s=t.console&&(t.console.warn||t.console.log);return s&&s.call(t.console,r,n),e.apply(this,arguments)}}s=\"function\"!=typeof Object.assign?function(t){if(t===r||null===t)throw new TypeError(\"Cannot convert undefined or null to object\");for(var e=Object(t),i=1;i-1}function b(t){return t.trim().split(/\\s+/g)}function P(t,e,i){if(t.indexOf&&!i)return t.indexOf(e);for(var n=0;ni[e]}):n.sort()),n}function w(t,e){for(var i,n,s=e[0].toUpperCase()+e.slice(1),a=0;a1&&!i.firstMultiple?i.firstMultiple=Q(e):1===s&&(i.firstMultiple=!1);var o=i.firstInput,a=i.firstMultiple,h=a?a.center:o.center,u=e.center=tt(n);e.timeStamp=l(),e.deltaTime=e.timeStamp-o.timeStamp,e.angle=rt(h,u),e.distance=nt(h,u),function(t,e){var i=e.center,n=t.offsetDelta||{},r=t.prevDelta||{},s=t.prevInput||{};e.eventType!==Y&&s.eventType!==W||(r=t.prevDelta={x:s.deltaX||0,y:s.deltaY||0},n=t.offsetDelta={x:i.x,y:i.y});e.deltaX=r.x+(i.x-n.x),e.deltaY=r.y+(i.y-n.y)}(i,e),e.offsetDirection=it(e.deltaX,e.deltaY);var p=et(e.deltaTime,e.deltaX,e.deltaY);e.overallVelocityX=p.x,e.overallVelocityY=p.y,e.overallVelocity=c(p.x)>c(p.y)?p.x:p.y,e.scale=a?(f=a.pointers,v=n,nt(v[0],v[1],$)/nt(f[0],f[1],$)):1,e.rotation=a?function(t,e){return rt(e[1],e[0],$)+rt(t[1],t[0],$)}(a.pointers,n):0,e.maxPointers=i.prevInput?e.pointers.length>i.prevInput.maxPointers?e.pointers.length:i.prevInput.maxPointers:e.pointers.length,function(t,e){var i,n,s,o,a=t.lastInterval||e,h=e.timeStamp-a.timeStamp;if(e.eventType!=q&&(h>X||a.velocity===r)){var u=e.deltaX-a.deltaX,l=e.deltaY-a.deltaY,p=et(h,u,l);n=p.x,s=p.y,i=c(p.x)>c(p.y)?p.x:p.y,o=it(u,l),t.lastInterval=e}else i=a.velocity,n=a.velocityX,s=a.velocityY,o=a.direction;e.velocity=i,e.velocityX=n,e.velocityY=s,e.direction=o}(i,e);var f,v;var d=t.element;C(e.srcEvent.target,d)&&(d=e.srcEvent.target);e.target=d}(t,i),t.emit(\"hammer.input\",i),t.recognize(i),t.session.prevInput=i}function Q(t){for(var e=[],i=0;i=c(e)?t<0?H:L:e<0?U:V}function nt(t,e,i){i||(i=B);var n=e[i[0]]-t[i[0]],r=e[i[1]]-t[i[1]];return Math.sqrt(n*n+r*r)}function rt(t,e,i){i||(i=B);var n=e[i[0]]-t[i[0]],r=e[i[1]]-t[i[1]];return 180*Math.atan2(r,n)/Math.PI}J.prototype={handler:function(){},init:function(){this.evEl&&A(this.element,this.evEl,this.domHandler),this.evTarget&&A(this.target,this.evTarget,this.domHandler),this.evWin&&A(R(this.element),this.evWin,this.domHandler)},destroy:function(){this.evEl&&_(this.element,this.evEl,this.domHandler),this.evTarget&&_(this.target,this.evTarget,this.domHandler),this.evWin&&_(R(this.element),this.evWin,this.domHandler)}};var st={mousedown:Y,mousemove:F,mouseup:W},ot=\"mousedown\",at=\"mousemove mouseup\";function ht(){this.evEl=ot,this.evWin=at,this.pressed=!1,J.apply(this,arguments)}T(ht,J,{handler:function(t){var e=st[t.type];e&Y&&0===t.button&&(this.pressed=!0),e&F&&1!==t.which&&(e=W),this.pressed&&(e&W&&(this.pressed=!1),this.callback(this.manager,e,{pointers:[t],changedPointers:[t],pointerType:\"mouse\",srcEvent:t}))}});var ut={pointerdown:Y,pointermove:F,pointerup:W,pointercancel:q,pointerout:q},ct={2:\"touch\",3:\"pen\",4:\"mouse\",5:\"kinect\"},lt=\"pointerdown\",pt=\"pointermove pointerup pointercancel\";function ft(){this.evEl=lt,this.evWin=pt,J.apply(this,arguments),this.store=this.manager.session.pointerEvents=[]}t.MSPointerEvent&&!t.PointerEvent&&(lt=\"MSPointerDown\",pt=\"MSPointerMove MSPointerUp MSPointerCancel\"),T(ft,J,{handler:function(t){var e=this.store,i=!1,n=t.type.toLowerCase().replace(\"ms\",\"\"),r=ut[n],s=ct[t.pointerType]||t.pointerType,o=\"touch\"==s,a=P(e,t.pointerId,\"pointerId\");r&Y&&(0===t.button||o)?a<0&&(e.push(t),a=e.length-1):r&(W|q)&&(i=!0),a<0||(e[a]=t,this.callback(this.manager,r,{pointers:e,changedPointers:[t],pointerType:s,srcEvent:t}),i&&e.splice(a,1))}});var vt={touchstart:Y,touchmove:F,touchend:W,touchcancel:q},dt=\"touchstart\",mt=\"touchstart touchmove touchend touchcancel\";function gt(){this.evTarget=dt,this.evWin=mt,this.started=!1,J.apply(this,arguments)}T(gt,J,{handler:function(t){var e=vt[t.type];if(e===Y&&(this.started=!0),this.started){var i=function(t,e){var i=D(t.touches),n=D(t.changedTouches);e&(W|q)&&(i=x(i.concat(n),\"identifier\",!0));return[i,n]}.call(this,t,e);e&(W|q)&&i[0].length-i[1].length==0&&(this.started=!1),this.callback(this.manager,e,{pointers:i[0],changedPointers:i[1],pointerType:\"touch\",srcEvent:t})}}});var Tt={touchstart:Y,touchmove:F,touchend:W,touchcancel:q},yt=\"touchstart touchmove touchend touchcancel\";function Et(){this.evTarget=yt,this.targetIds={},J.apply(this,arguments)}T(Et,J,{handler:function(t){var e=Tt[t.type],i=function(t,e){var i=D(t.touches),n=this.targetIds;if(e&(Y|F)&&1===i.length)return n[i[0].identifier]=!0,[i,i];var r,s,o=D(t.changedTouches),a=[],h=this.target;if(s=i.filter(function(t){return C(t.target,h)}),e===Y)for(r=0;r-1&&n.splice(t,1)},It)}}T(_t,J,{handler:function(t,e,i){var n=\"touch\"==i.pointerType,r=\"mouse\"==i.pointerType;if(!(r&&i.sourceCapabilities&&i.sourceCapabilities.firesTouchEvents)){if(n)(function(t,e){t&Y?(this.primaryTouch=e.changedPointers[0].identifier,Ct.call(this,e)):t&(W|q)&&Ct.call(this,e)}).call(this,e,i);else if(r&&function(t){for(var e=t.srcEvent.clientX,i=t.srcEvent.clientY,n=0;n-1&&this.requireFail.splice(e,1),this},hasRequireFailures:function(){return this.requireFail.length>0},canRecognizeWith:function(t){return!!this.simultaneous[t.id]},emit:function(t){var e=this,i=this.state;function n(i){e.manager.emit(i,t)}i=Yt&&n(e.options.event+kt(i))},tryEmit:function(t){if(this.canEmit())return this.emit(t);this.state=32},canEmit:function(){for(var t=0;te.threshold&&r&e.direction},attrTest:function(t){return Ut.prototype.attrTest.call(this,t)&&(this.state&Nt||!(this.state&Nt)&&this.directionTest(t))},emit:function(t){this.pX=t.deltaX,this.pY=t.deltaY;var e=Ht(t.direction);e&&(t.additionalEvent=this.options.event+e),this._super.emit.call(this,t)}}),T(jt,Ut,{defaults:{event:\"pinch\",threshold:0,pointers:2},getTouchAction:function(){return[xt]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.scale-1)>this.options.threshold||this.state&Nt)},emit:function(t){if(1!==t.scale){var e=t.scale<1?\"in\":\"out\";t.additionalEvent=this.options.event+e}this._super.emit.call(this,t)}}),T(Gt,qt,{defaults:{event:\"press\",pointers:1,time:251,threshold:9},getTouchAction:function(){return[Pt]},process:function(t){var e=this.options,i=t.pointers.length===e.pointers,n=t.distancee.time;if(this._input=t,!n||!i||t.eventType&(W|q)&&!r)this.reset();else if(t.eventType&Y)this.reset(),this._timer=p(function(){this.state=Ft,this.tryEmit()},e.time,this);else if(t.eventType&W)return Ft;return 32},reset:function(){clearTimeout(this._timer)},emit:function(t){this.state===Ft&&(t&&t.eventType&W?this.manager.emit(this.options.event+\"up\",t):(this._input.timeStamp=l(),this.manager.emit(this.options.event,this._input)))}}),T(Zt,Ut,{defaults:{event:\"rotate\",threshold:0,pointers:2},getTouchAction:function(){return[xt]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.rotation)>this.options.threshold||this.state&Nt)}}),T(Bt,Ut,{defaults:{event:\"swipe\",threshold:10,velocity:.3,direction:j|G,pointers:1},getTouchAction:function(){return Vt.prototype.getTouchAction.call(this)},attrTest:function(t){var e,i=this.options.direction;return i&(j|G)?e=t.overallVelocity:i&j?e=t.overallVelocityX:i&G&&(e=t.overallVelocityY),this._super.attrTest.call(this,t)&&i&t.offsetDirection&&t.distance>this.options.threshold&&t.maxPointers==this.options.pointers&&c(e)>this.options.velocity&&t.eventType&W},emit:function(t){var e=Ht(t.offsetDirection);e&&this.manager.emit(this.options.event+e,t),this.manager.emit(this.options.event,t)}}),T($t,qt,{defaults:{event:\"tap\",pointers:1,taps:1,interval:300,time:250,threshold:9,posThreshold:10},getTouchAction:function(){return[Dt]},process:function(t){var e=this.options,i=t.pointers.length===e.pointers,n=t.distance=2){this.map.setZoom(n);var s=this._get_projected_bounds(),a=s[0];s[1]-a<0&&this.map.setZoom(i)}this.unpause()}this._set_bokeh_ranges()},e.prototype._build_map=function(){var t=this,e=google.maps;this.map_types={satellite:e.MapTypeId.SATELLITE,terrain:e.MapTypeId.TERRAIN,roadmap:e.MapTypeId.ROADMAP,hybrid:e.MapTypeId.HYBRID};var o=this.model.map_options,i={center:new e.LatLng(o.lat,o.lng),zoom:o.zoom,disableDefaultUI:!0,mapTypeId:this.map_types[o.map_type],scaleControl:o.scale_control,tilt:o.tilt};null!=o.styles&&(i.styles=JSON.parse(o.styles)),this.map=new e.Map(this.canvas_view.map_el,i),e.event.addListener(this.map,\"idle\",function(){return t._set_bokeh_ranges()}),e.event.addListener(this.map,\"bounds_changed\",function(){return t._set_bokeh_ranges()}),e.event.addListenerOnce(this.map,\"tilesloaded\",function(){return t._render_finished()}),this.connect(this.model.properties.map_options.change,function(){return t._update_options()}),this.connect(this.model.map_options.properties.styles.change,function(){return t._update_styles()}),this.connect(this.model.map_options.properties.lat.change,function(){return t._update_center(\"lat\")}),this.connect(this.model.map_options.properties.lng.change,function(){return t._update_center(\"lng\")}),this.connect(this.model.map_options.properties.zoom.change,function(){return t._update_zoom()}),this.connect(this.model.map_options.properties.map_type.change,function(){return t._update_map_type()}),this.connect(this.model.map_options.properties.scale_control.change,function(){return t._update_scale_control()}),this.connect(this.model.map_options.properties.tilt.change,function(){return t._update_tilt()})},e.prototype._render_finished=function(){this._tiles_loaded=!0,this.notify_finished()},e.prototype.has_finished=function(){return t.prototype.has_finished.call(this)&&!0===this._tiles_loaded},e.prototype._get_latlon_bounds=function(){var t=this.map.getBounds(),e=t.getNorthEast(),o=t.getSouthWest();return[o.lng(),e.lng(),o.lat(),e.lat()]},e.prototype._get_projected_bounds=function(){var t=this._get_latlon_bounds(),e=t[0],o=t[1],i=t[2],n=t[3],a=s.wgs84_mercator.forward([e,i]),p=a[0],l=a[1],_=s.wgs84_mercator.forward([o,n]);return[p,_[0],l,_[1]]},e.prototype._set_bokeh_ranges=function(){var t=this._get_projected_bounds(),e=t[0],o=t[1],i=t[2],n=t[3];this.frame.x_range.setv({start:e,end:o}),this.frame.y_range.setv({start:i,end:n})},e.prototype._update_center=function(t){var e=this.map.getCenter().toJSON();e[t]=this.model.map_options[t],this.map.setCenter(e),this._set_bokeh_ranges()},e.prototype._update_map_type=function(){this.map.setOptions({mapTypeId:this.map_types[this.model.map_options.map_type]})},e.prototype._update_scale_control=function(){this.map.setOptions({scaleControl:this.model.map_options.scale_control})},e.prototype._update_tilt=function(){this.map.setOptions({tilt:this.model.map_options.tilt})},e.prototype._update_options=function(){this._update_styles(),this._update_center(\"lat\"),this._update_center(\"lng\"),this._update_zoom(),this._update_map_type()},e.prototype._update_styles=function(){this.map.setOptions({styles:JSON.parse(this.model.map_options.styles)})},e.prototype._update_zoom=function(){this.map.setOptions({zoom:this.model.map_options.zoom}),this._set_bokeh_ranges()},e.prototype._map_hook=function(t,e){var o=e[0],i=e[1],n=e[2],s=e[3];this.canvas_view.map_el.style.top=i+\"px\",this.canvas_view.map_el.style.left=o+\"px\",this.canvas_view.map_el.style.width=n+\"px\",this.canvas_view.map_el.style.height=s+\"px\",null==this.map&&\"undefined\"!=typeof google&&null!=google.maps&&this._build_map()},e.prototype._paint_empty=function(t,e){var o=this.layout._width.value,i=this.layout._height.value,n=e[0],s=e[1],a=e[2],p=e[3];t.clearRect(0,0,o,i),t.beginPath(),t.moveTo(0,0),t.lineTo(0,i),t.lineTo(o,i),t.lineTo(o,0),t.lineTo(0,0),t.moveTo(n,s),t.lineTo(n+a,s),t.lineTo(n+a,s+p),t.lineTo(n,s+p),t.lineTo(n,s),t.closePath(),null!=this.model.border_fill_color&&(t.fillStyle=this.model.border_fill_color,t.fill())},e}(a.PlotView);o.GMapPlotView=l,l.__name__=\"GMapPlotView\"},\n", " function _(a,n,e){var g=a(281);e.DataRange=g.DataRange;var R=a(280);e.DataRange1d=R.DataRange1d;var r=a(184);e.FactorRange=r.FactorRange;var t=a(185);e.Range=t.Range;var v=a(225);e.Range1d=v.Range1d},\n", " function _(e,r,d){var n=e(175);d.GlyphRenderer=n.GlyphRenderer;var R=e(192);d.GraphRenderer=R.GraphRenderer;var a=e(244);d.GuideRenderer=a.GuideRenderer;var G=e(160);d.Renderer=G.Renderer},\n", " function _(a,e,c){var l=a(279);c.CategoricalScale=l.CategoricalScale;var r=a(215);c.LinearScale=r.LinearScale;var S=a(224);c.LogScale=S.LogScale;var i=a(216);c.Scale=i.Scale},\n", " function _(n,o,e){!function(n){for(var o in n)e.hasOwnProperty(o)||(e[o]=n[o])}(n(195));var i=n(173);e.Selection=i.Selection},\n", " function _(a,e,r){var o=a(388);r.ServerSentDataSource=o.ServerSentDataSource;var S=a(390);r.AjaxDataSource=S.AjaxDataSource;var t=a(170);r.ColumnDataSource=t.ColumnDataSource;var u=a(171);r.ColumnarDataSource=u.ColumnarDataSource;var D=a(191);r.CDSView=D.CDSView;var c=a(172);r.DataSource=c.DataSource;var v=a(392);r.GeoJSONDataSource=v.GeoJSONDataSource;var n=a(391);r.RemoteDataSource=n.RemoteDataSource},\n", " function _(t,e,i){var a=t(113),n=function(t){function e(e){var i=t.call(this,e)||this;return i.initialized=!1,i}return a.__extends(e,t),e.prototype.destroy=function(){t.prototype.destroy.call(this)},e.prototype.setup=function(){var t=this;this.initialized||(this.initialized=!0,new EventSource(this.data_url).onmessage=function(e){t.load_data(JSON.parse(e.data),t.mode,t.max_size)})},e}(t(389).WebDataSource);i.ServerSentDataSource=n,n.__name__=\"ServerSentDataSource\"},\n", " function _(t,a,e){var i=t(113),n=t(170),r=t(121),o=function(t){function a(a){return t.call(this,a)||this}return i.__extends(a,t),a.prototype.get_column=function(t){var a=this.data[t];return null!=a?a:[]},a.prototype.initialize=function(){t.prototype.initialize.call(this),this.setup()},a.prototype.load_data=function(t,a,e){var i,n=this.adapter;switch(i=null!=n?n.execute(this,{response:t}):t,a){case\"replace\":this.data=i;break;case\"append\":for(var r=this.data,o=0,c=this.columns();o1&&a.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\");var h=e.coordinates[0];for(c=0;c1&&a.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\"),d.push(w[0])}for(_=d.reduce(o),c=0;c<_.length;c++){var v=_[c];i=v[0],s=v[1],u=v[2];t.xs[r][c]=i,t.ys[r][c]=s,t.zs[r][c]=l(u)}break;default:throw new Error(\"Invalid GeoJSON geometry type: \"+e.type)}},t.prototype.geojson_to_column_data=function(){var e,t=JSON.parse(this.geojson);switch(t.type){case\"GeometryCollection\":if(null==t.geometries)throw new Error(\"No geometries found in GeometryCollection\");if(0===t.geometries.length)throw new Error(\"geojson.geometries must have one or more items\");e=t.geometries;break;case\"FeatureCollection\":if(null==t.features)throw new Error(\"No features found in FeaturesCollection\");if(0==t.features.length)throw new Error(\"geojson.features must have one or more items\");e=t.features;break;default:throw new Error(\"Bokeh only supports type GeometryCollection and FeatureCollection at top level\")}for(var r=0,o=0,n=e;o=Math.pow(2,i)))&&!(e<0||e>=Math.pow(2,i))},e.prototype.parent_by_tile_xyz=function(t,e,i){var o=this.tile_xyz_to_quadkey(t,e,i),r=o.substring(0,o.length-1);return this.quadkey_to_tile_xyz(r)},e.prototype.get_resolution=function(t){return this._computed_initial_resolution()/Math.pow(2,t)},e.prototype.get_resolution_by_extent=function(t,e,i){return[(t[2]-t[0])/i,(t[3]-t[1])/e]},e.prototype.get_level_by_extent=function(t,e,i){for(var o=(t[2]-t[0])/i,r=(t[3]-t[1])/e,n=Math.max(o,r),_=0,s=0,u=this._resolutions;su[s]){if(0==_)return 0;if(_>0)return _-1}_+=1}return _-1},e.prototype.get_closest_level_by_extent=function(t,e,i){var o=(t[2]-t[0])/i,r=(t[3]-t[1])/e,n=Math.max(o,r),_=this._resolutions.reduce(function(t,e){return Math.abs(e-n)h?(a=_-r,l*=p):(a*=h,l=s-n)}var y=(a-(_-r))/2,c=(l-(s-n))/2;return[r-y,n-c,_+y,s+c]},e.prototype.tms_to_wmts=function(t,e,i){return[t,Math.pow(2,i)-1-e,i]},e.prototype.wmts_to_tms=function(t,e,i){return[t,Math.pow(2,i)-1-e,i]},e.prototype.pixels_to_meters=function(t,e,i){var o=this.get_resolution(i);return[t*o-this.x_origin_offset,e*o-this.y_origin_offset]},e.prototype.meters_to_pixels=function(t,e,i){var o=this.get_resolution(i);return[(t+this.x_origin_offset)/o,(e+this.y_origin_offset)/o]},e.prototype.pixels_to_tile=function(t,e){var i=Math.ceil(t/this.tile_size);return[i=0===i?i:i-1,Math.max(Math.ceil(e/this.tile_size)-1,0)]},e.prototype.pixels_to_raster=function(t,e,i){return[t,(this.tile_size<=a;c--)for(var f=u;f<=p;f++)this.is_valid_tile(f,c,e)&&y.push([f,c,e,this.get_tile_meter_bounds(f,c,e)]);return this.sort_tiles_from_center(y,[u,a,p,h]),y},e.prototype.quadkey_to_tile_xyz=function(t){for(var e=0,i=0,o=t.length,r=o;r>0;r--){var n=1<0;r--){var n=1<0;)if(s=s.substring(0,s.length-1),t=(r=this.quadkey_to_tile_xyz(s))[0],e=r[1],i=r[2],t=(n=this.denormalize_xyz(t,e,i,_))[0],e=n[1],i=n[2],this.tiles.has(this.tile_xyz_to_key(t,e,i)))return[t,e,i];return[0,0,0]},e.prototype.normalize_xyz=function(t,e,i){if(this.wrap_around){var o=Math.pow(2,i);return[(t%o+o)%o,e,i]}return[t,e,i]},e.prototype.denormalize_xyz=function(t,e,i,o){return[t+o*Math.pow(2,i),e,i]},e.prototype.denormalize_meters=function(t,e,i,o){return[t+2*o*Math.PI*6378137,e]},e.prototype.calculate_world_x_by_tile_xyz=function(t,e,i){return Math.floor(t/Math.pow(2,i))},e}(r.TileSource);i.MercatorTileSource=u,u.__name__=\"MercatorTileSource\",u.init_MercatorTileSource()},\n", " function _(t,e,r){var i=t(113),n=t(166),o=t(121),a=function(t){function e(e){return t.call(this,e)||this}return i.__extends(e,t),e.init_TileSource=function(){this.define({url:[o.String,\"\"],tile_size:[o.Number,256],max_zoom:[o.Number,30],min_zoom:[o.Number,0],extra_url_vars:[o.Any,{}],attribution:[o.String,\"\"],x_origin_offset:[o.Number],y_origin_offset:[o.Number],initial_resolution:[o.Number]})},e.prototype.initialize=function(){t.prototype.initialize.call(this),this.tiles=new Map,this._normalize_case()},e.prototype.connect_signals=function(){var e=this;t.prototype.connect_signals.call(this),this.connect(this.change,function(){return e._clear_cache()})},e.prototype.string_lookup_replace=function(t,e){var r=t;for(var i in e){var n=e[i];r=r.replace(\"{\"+i+\"}\",n)}return r},e.prototype._normalize_case=function(){var t=this.url.replace(\"{x}\",\"{X}\").replace(\"{y}\",\"{Y}\").replace(\"{z}\",\"{Z}\").replace(\"{q}\",\"{Q}\").replace(\"{xmin}\",\"{XMIN}\").replace(\"{ymin}\",\"{YMIN}\").replace(\"{xmax}\",\"{XMAX}\").replace(\"{ymax}\",\"{YMAX}\");this.url=t},e.prototype._clear_cache=function(){this.tiles=new Map},e.prototype.tile_xyz_to_key=function(t,e,r){return t+\":\"+e+\":\"+r},e.prototype.key_to_tile_xyz=function(t){var e=t.split(\":\").map(function(t){return parseInt(t)});return[e[0],e[1],e[2]]},e.prototype.sort_tiles_from_center=function(t,e){var r=e[0],i=e[1],n=e[2],o=e[3],a=(n-r)/2+r,c=(o-i)/2+i;t.sort(function(t,e){return Math.sqrt(Math.pow(a-t[0],2)+Math.pow(c-t[1],2))-Math.sqrt(Math.pow(a-e[0],2)+Math.pow(c-e[1],2))})},e.prototype.get_image_url=function(t,e,r){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",t.toString()).replace(\"{Y}\",e.toString()).replace(\"{Z}\",r.toString())},e}(n.Model);r.TileSource=a,a.__name__=\"TileSource\",a.init_TileSource()},\n", " function _(r,e,t){var n=r(132);function o(r,e){return n.wgs84_mercator.forward([r,e])}function _(r,e){return n.wgs84_mercator.inverse([r,e])}t.geographic_to_meters=o,t.meters_to_geographic=_,t.geographic_extent_to_meters=function(r){var e=r[0],t=r[1],n=r[2],_=r[3],c=o(e,t),a=c[0],g=c[1],i=o(n,_);return[a,g,i[0],i[1]]},t.meters_extent_to_geographic=function(r){var e=r[0],t=r[1],n=r[2],o=r[3],c=_(e,t),a=c[0],g=c[1],i=_(n,o);return[a,g,i[0],i[1]]}},\n", " function _(t,e,r){var _=t(113),i=function(t){function e(e){return t.call(this,e)||this}return _.__extends(e,t),e.prototype.get_image_url=function(t,e,r){var _=this.string_lookup_replace(this.url,this.extra_url_vars),i=this.tms_to_wmts(t,e,r),u=i[0],n=i[1],o=i[2],l=this.tile_xyz_to_quadkey(u,n,o);return _.replace(\"{Q}\",l)},e}(t(397).MercatorTileSource);r.QUADKEYTileSource=i,i.__name__=\"QUADKEYTileSource\"},\n", " function _(e,t,i){var n=e(113),a=e(402),r=e(176),_=e(225),s=e(163),o=e(121),l=e(318),h=e(110),u=e(109),p=e(174),d=e(170),c=e(403),m=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return n.__extends(t,e),t.prototype.initialize=function(){this._tiles=[],e.prototype.initialize.call(this)},t.prototype.connect_signals=function(){var t=this;e.prototype.connect_signals.call(this),this.connect(this.model.change,function(){return t.request_render()}),this.connect(this.model.tile_source.change,function(){return t.request_render()})},t.prototype.get_extent=function(){return[this.x_range.start,this.y_range.start,this.x_range.end,this.y_range.end]},Object.defineProperty(t.prototype,\"map_plot\",{get:function(){return this.plot_model},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"map_canvas\",{get:function(){return this.plot_view.canvas_view.ctx},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"map_frame\",{get:function(){return this.plot_view.frame},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"x_range\",{get:function(){return this.map_plot.x_range},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"y_range\",{get:function(){return this.map_plot.y_range},enumerable:!0,configurable:!0}),t.prototype._set_data=function(){this.extent=this.get_extent(),this._last_height=void 0,this._last_width=void 0},t.prototype._update_attribution=function(){null!=this.attribution_el&&s.removeElement(this.attribution_el);var e=this.model.tile_source.attribution;if(u.isString(e)&&e.length>0){var t=this.plot_view,i=t.layout,n=t.frame,a=i._width.value-n._right.value,r=i._height.value-n._bottom.value,_=n._width.value;this.attribution_el=s.div({class:c.bk_tile_attribution,style:{position:\"absolute\",right:a+\"px\",bottom:r+\"px\",\"max-width\":_-4+\"px\",padding:\"2px\",\"background-color\":\"rgba(255,255,255,0.5)\",\"font-size\":\"7pt\",\"line-height\":\"1.05\",\"white-space\":\"nowrap\",overflow:\"hidden\",\"text-overflow\":\"ellipsis\"}}),this.plot_view.canvas_view.events_el.appendChild(this.attribution_el),this.attribution_el.innerHTML=e,this.attribution_el.title=this.attribution_el.textContent.replace(/\\s*\\n\\s*/g,\" \")}},t.prototype._map_data=function(){this.initial_extent=this.get_extent();var e=this.model.tile_source.get_level_by_extent(this.initial_extent,this.map_frame._height.value,this.map_frame._width.value),t=this.model.tile_source.snap_to_zoom_level(this.initial_extent,this.map_frame._height.value,this.map_frame._width.value,e);this.x_range.start=t[0],this.y_range.start=t[1],this.x_range.end=t[2],this.y_range.end=t[3],this.x_range instanceof _.Range1d&&(this.x_range.reset_start=t[0],this.x_range.reset_end=t[2]),this.y_range instanceof _.Range1d&&(this.y_range.reset_start=t[1],this.y_range.reset_end=t[3]),this._update_attribution()},t.prototype._create_tile=function(e,t,i,n,a){var r=this;void 0===a&&(a=!1);var _=this.model.tile_source.normalize_xyz(e,t,i),s=_[0],o=_[1],h=_[2],u={img:void 0,tile_coords:[e,t,i],normalized_coords:[s,o,h],quadkey:this.model.tile_source.tile_xyz_to_quadkey(e,t,i),cache_key:this.model.tile_source.tile_xyz_to_key(e,t,i),bounds:n,loaded:!1,finished:!1,x_coord:n[0],y_coord:n[3]},p=this.model.tile_source.get_image_url(s,o,h);new l.ImageLoader(p,{loaded:function(e){Object.assign(u,{img:e,loaded:!0}),a?(u.finished=!0,r.notify_finished()):r.request_render()},failed:function(){u.finished=!0}}),this.model.tile_source.tiles.set(u.cache_key,u),this._tiles.push(u)},t.prototype._enforce_aspect_ratio=function(){if(this._last_height!==this.map_frame._height.value||this._last_width!==this.map_frame._width.value){var e=this.get_extent(),t=this.model.tile_source.get_level_by_extent(e,this.map_frame._height.value,this.map_frame._width.value),i=this.model.tile_source.snap_to_zoom_level(e,this.map_frame._height.value,this.map_frame._width.value,t);this.x_range.setv({start:i[0],end:i[2]}),this.y_range.setv({start:i[1],end:i[3]}),this.extent=i,this._last_height=this.map_frame._height.value,this._last_width=this.map_frame._width.value}},t.prototype.has_finished=function(){if(!e.prototype.has_finished.call(this))return!1;if(0===this._tiles.length)return!1;for(var t=0,i=this._tiles;tn&&(a=this.extent,o=n,l=!0),l&&(this.x_range.setv({x_range:{start:a[0],end:a[2]}}),this.y_range.setv({start:a[1],end:a[3]}),this.extent=a),this.extent=a;for(var u=t.get_tiles_by_extent(a,o),p=[],d=[],c=[],m=[],f=0,g=u;f0&&(u=u.filter(function(n){return t.includes(e,n.name)})),u}},\n", " function _(t,o,e){var n=t(113),i=t(370),a=t(201),r=t(121),s=t(373),_=function(t){function o(){return null!==t&&t.apply(this,arguments)||this}return n.__extends(o,t),o.prototype._match_aspect=function(t,o,e){var n,i,a,r,s=e.bbox.aspect,_=e.bbox.h_range.end,l=e.bbox.h_range.start,u=e.bbox.v_range.end,p=e.bbox.v_range.start,h=Math.abs(t[0]-o[0]),c=Math.abs(t[1]-o[1]),m=0==c?0:h/c,v=(m>=s?[1,m/s]:[s/m,1])[0];return t[0]<=o[0]?(n=t[0],(i=t[0]+h*v)>_&&(i=_)):(i=t[0],(n=t[0]-h*v)u&&(a=u)):(a=t[1],(r=t[1]-h/s)o.end)&&(this.v_axis_only=!0),(es.end)&&(this.h_axis_only=!0)}null!=this.model.document&&this.model.document.interactive_start(this.plot_model)},n.prototype._pan=function(t){this._update(t.deltaX,t.deltaY),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)},n.prototype._pan_end=function(t){this.h_axis_only=!1,this.v_axis_only=!1,null!=this.pan_info&&this.plot_view.push_state(\"pan\",{range:this.pan_info})},n.prototype._update=function(t,n){var e,i,o,s,a,r,_=this.plot_view.frame,l=t-this.last_dx,h=n-this.last_dy,d=_.bbox.h_range,p=d.start-l,u=d.end-l,c=_.bbox.v_range,f=c.start-h,v=c.end-h,y=this.model.dimensions;\"width\"!=y&&\"both\"!=y||this.v_axis_only?(e=d.start,i=d.end,o=0):(e=p,i=u,o=-l),\"height\"!=y&&\"both\"!=y||this.h_axis_only?(s=c.start,a=c.end,r=0):(s=f,a=v,r=-h),this.last_dx=t,this.last_dy=n;var m=_.xscales,b=_.yscales,x={};for(var g in m){var w=m[g].r_invert(e,i),P=w[0],T=w[1];x[g]={start:P,end:T}}var k={};for(var g in b){var V=b[g].r_invert(s,a);P=V[0],T=V[1];k[g]={start:P,end:T}}this.pan_info={xrs:x,yrs:k,sdx:o,sdy:r},this.plot_view.update_range(this.pan_info,!0)},n}(o.GestureToolView);e.PanToolView=r,r.__name__=\"PanToolView\";var _=function(t){function n(n){var e=t.call(this,n)||this;return e.tool_name=\"Pan\",e.event_type=\"pan\",e.default_order=10,e}return i.__extends(n,t),n.init_PanTool=function(){this.prototype.default_view=r,this.define({dimensions:[s.Dimensions,\"both\"]})},Object.defineProperty(n.prototype,\"tooltip\",{get:function(){return this._get_dim_tooltip(\"Pan\",this.dimensions)},enumerable:!0,configurable:!0}),Object.defineProperty(n.prototype,\"icon\",{get:function(){switch(this.dimensions){case\"both\":return a.bk_tool_icon_pan;case\"width\":return a.bk_tool_icon_xpan;case\"height\":return a.bk_tool_icon_ypan}},enumerable:!0,configurable:!0}),n}(o.GestureTool);e.PanTool=_,_.__name__=\"PanTool\",_.init_PanTool()},\n", " function _(t,e,o){var l=t(113),i=t(426),a=t(233),n=t(163),s=t(121),c=t(110),_=t(373),r=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return l.__extends(e,t),e.prototype.initialize=function(){t.prototype.initialize.call(this),this.data={sx:[],sy:[]}},e.prototype.connect_signals=function(){var e=this;t.prototype.connect_signals.call(this),this.connect(this.model.properties.active.change,function(){return e._active_change()})},e.prototype._active_change=function(){this.model.active||this._clear_data()},e.prototype._keyup=function(t){t.keyCode==n.Keys.Enter&&this._clear_data()},e.prototype._doubletap=function(t){var e=t.shiftKey;this._do_select(this.data.sx,this.data.sy,!0,e),this.plot_view.push_state(\"poly_select\",{selection:this.plot_view.get_selection()}),this._clear_data()},e.prototype._clear_data=function(){this.data={sx:[],sy:[]},this.model.overlay.update({xs:[],ys:[]})},e.prototype._tap=function(t){var e=t.sx,o=t.sy;this.plot_view.frame.bbox.contains(e,o)&&(this.data.sx.push(e),this.data.sy.push(o),this.model.overlay.update({xs:c.copy(this.data.sx),ys:c.copy(this.data.sy)}))},e.prototype._do_select=function(t,e,o,l){var i={type:\"poly\",sx:t,sy:e};this._select(i,o,l)},e.prototype._emit_callback=function(t){var e=this.computed_renderers[0],o=this.plot_view.frame,l=o.xscales[e.x_range_name],i=o.yscales[e.y_range_name],a=l.v_invert(t.sx),n=i.v_invert(t.sy),s=Object.assign({x:a,y:n},t);null!=this.model.callback&&this.model.callback.execute(this.model,{geometry:s})},e}(i.SelectToolView);o.PolySelectToolView=r,r.__name__=\"PolySelectToolView\";var y=function(){return new a.PolyAnnotation({level:\"overlay\",xs_units:\"screen\",ys_units:\"screen\",fill_color:{value:\"lightgrey\"},fill_alpha:{value:.5},line_color:{value:\"black\"},line_alpha:{value:1},line_width:{value:2},line_dash:{value:[4,4]}})},p=function(t){function e(e){var o=t.call(this,e)||this;return o.tool_name=\"Poly Select\",o.icon=_.bk_tool_icon_polygon_select,o.event_type=\"tap\",o.default_order=11,o}return l.__extends(e,t),e.init_PolySelectTool=function(){this.prototype.default_view=r,this.define({callback:[s.Any],overlay:[s.Instance,y]})},e}(i.SelectTool);o.PolySelectTool=p,p.__name__=\"PolySelectTool\",p.init_PolySelectTool()},\n", " function _(t,e,i){var n=t(113),s=t(201),r=t(167),l=t(121),a=t(370),o=t(373);function _(t){switch(t){case 1:return 2;case 2:return 1;case 4:return 5;case 5:return 4;default:return t}}function h(t,e,i,n){if(null==e)return!1;var s=i.compute(e);return Math.abs(t-s)s.right)&&(r=!1)}if(null!=s.bottom&&null!=s.top){var a=n.invert(e);(as.top)&&(r=!1)}return r}function d(t,e,i){var n=0;return t>=i.start&&t<=i.end&&(n+=1),e>=i.start&&e<=i.end&&(n+=1),n}function c(t,e,i,n){var s=e.compute(t),r=e.invert(s+i);return r>=n.start&&r<=n.end?r:t}function y(t,e,i){return t>e.start?(e.end=t,i):(e.end=e.start,e.start=t,_(i))}function f(t,e,i){return t=h&&(t.start=o,t.end=_)}i.flip_side=_,i.is_near=h,i.is_inside=u,i.sides_inside=d,i.compute_value=c,i.update_range_end_side=y,i.update_range_start_side=f,i.update_range=g;var v=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return n.__extends(e,t),e.prototype.initialize=function(){t.prototype.initialize.call(this),this.side=0,this.model.update_overlay_from_ranges()},e.prototype.connect_signals=function(){var e=this;t.prototype.connect_signals.call(this),null!=this.model.x_range&&this.connect(this.model.x_range.change,function(){return e.model.update_overlay_from_ranges()}),null!=this.model.y_range&&this.connect(this.model.y_range.change,function(){return e.model.update_overlay_from_ranges()})},e.prototype._pan_start=function(t){this.last_dx=0,this.last_dy=0;var e=this.model.x_range,i=this.model.y_range,n=this.plot_view.frame,r=n.xscales.default,l=n.yscales.default,a=this.model.overlay,o=a.left,_=a.right,d=a.top,c=a.bottom,y=this.model.overlay.properties.line_width.value()+s.EDGE_TOLERANCE;null!=e&&this.model.x_interaction&&(h(t.sx,o,r,y)?this.side=1:h(t.sx,_,r,y)?this.side=2:u(t.sx,t.sy,r,l,a)&&(this.side=3)),null!=i&&this.model.y_interaction&&(0==this.side&&h(t.sy,c,l,y)&&(this.side=4),0==this.side&&h(t.sy,d,l,y)?this.side=5:u(t.sx,t.sy,r,l,this.model.overlay)&&(3==this.side?this.side=7:this.side=6))},e.prototype._pan=function(t){var e=this.plot_view.frame,i=t.deltaX-this.last_dx,n=t.deltaY-this.last_dy,s=this.model.x_range,r=this.model.y_range,l=e.xscales.default,a=e.yscales.default;if(null!=s)if(3==this.side||7==this.side)g(s,l,i,e.x_range);else if(1==this.side){var o=c(s.start,l,i,e.x_range);this.side=f(o,s,this.side)}else if(2==this.side){var _=c(s.end,l,i,e.x_range);this.side=y(_,s,this.side)}if(null!=r)if(6==this.side||7==this.side)g(r,a,n,e.y_range);else if(4==this.side){o=c(r.start,a,n,e.y_range);this.side=f(o,r,this.side)}else if(5==this.side){_=c(r.end,a,n,e.y_range);this.side=y(_,r,this.side)}this.last_dx=t.deltaX,this.last_dy=t.deltaY},e.prototype._pan_end=function(t){this.side=0},e}(a.GestureToolView);i.RangeToolView=v,v.__name__=\"RangeToolView\";var p=function(){return new s.BoxAnnotation({level:\"overlay\",render_mode:\"canvas\",fill_color:\"lightgrey\",fill_alpha:{value:.5},line_color:{value:\"black\"},line_alpha:{value:1},line_width:{value:.5},line_dash:[2,2]})},m=function(t){function e(e){var i=t.call(this,e)||this;return i.tool_name=\"Range Tool\",i.icon=o.bk_tool_icon_range,i.event_type=\"pan\",i.default_order=1,i}return n.__extends(e,t),e.init_RangeTool=function(){this.prototype.default_view=v,this.define({x_range:[l.Instance,null],x_interaction:[l.Boolean,!0],y_range:[l.Instance,null],y_interaction:[l.Boolean,!0],overlay:[l.Instance,p]})},e.prototype.initialize=function(){t.prototype.initialize.call(this),this.overlay.in_cursor=\"grab\",this.overlay.ew_cursor=null!=this.x_range&&this.x_interaction?\"ew-resize\":null,this.overlay.ns_cursor=null!=this.y_range&&this.y_interaction?\"ns-resize\":null},e.prototype.update_overlay_from_ranges=function(){null==this.x_range&&null==this.y_range&&(this.overlay.left=null,this.overlay.right=null,this.overlay.bottom=null,this.overlay.top=null,r.logger.warn(\"RangeTool not configured with any Ranges.\")),null==this.x_range?(this.overlay.left=null,this.overlay.right=null):(this.overlay.left=this.x_range.start,this.overlay.right=this.x_range.end),null==this.y_range?(this.overlay.bottom=null,this.overlay.top=null):(this.overlay.bottom=this.y_range.start,this.overlay.top=this.y_range.end)},e}(a.GestureTool);i.RangeTool=m,m.__name__=\"RangeTool\",m.init_RangeTool()},\n", " function _(e,t,i){var s=e(113),n=e(426),o=e(121),a=e(373),r=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return s.__extends(t,e),t.prototype._tap=function(e){var t={type:\"point\",sx:e.sx,sy:e.sy},i=e.shiftKey;this._select(t,!0,i)},t.prototype._select=function(e,t,i){var s=this,n=this.model.callback;if(\"select\"==this.model.behavior){var o=this._computed_renderers_by_data_source();for(var a in o){var r=o[a],_=r[0].get_selection_manager(),l=r.map(function(e){return s.plot_view.renderer_views[e.id]});if(_.select(l,e,t,i)&&null!=n){var c=(y=this.plot_view.frame).xscales[r[0].x_range_name],p=y.yscales[r[0].y_range_name],v=c.invert(e.sx),u=p.invert(e.sy),h={geometries:Object.assign(Object.assign({},e),{x:v,y:u}),source:_.source};n.execute(this.model,h)}}this._emit_selection_event(e),this.plot_view.push_state(\"tap\",{selection:this.plot_view.get_selection()})}else for(var m=0,f=this.computed_renderers;m.9?t=.9:t<-.9&&(t=-.9),this._update_ranges(t)},t.prototype._update_ranges=function(e){var t,n,o,r,i=this.plot_view.frame,a=i.bbox.h_range,s=i.bbox.v_range,l=[a.start,a.end],_=l[0],h=l[1],d=[s.start,s.end],u=d[0],p=d[1];switch(this.model.dimension){case\"height\":var c=Math.abs(p-u);t=_,n=h,o=u-c*e,r=p-c*e;break;case\"width\":var v=Math.abs(h-_);t=_-v*e,n=h-v*e,o=u,r=p;break;default:throw new Error(\"this shouldn't have happened\")}var f=i.xscales,m=i.yscales,w={};for(var b in f){var g=f[b].r_invert(t,n),y=g[0],P=g[1];w[b]={start:y,end:P}}var T={};for(var b in m){var W=m[b].r_invert(o,r);y=W[0],P=W[1];T[b]={start:y,end:P}}var x={xrs:w,yrs:T,factor:e};this.plot_view.push_state(\"wheel_pan\",{range:x}),this.plot_view.update_range(x,!1,!0),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)},t}(r.GestureToolView);n.WheelPanToolView=s,s.__name__=\"WheelPanToolView\";var l=function(e){function t(t){var n=e.call(this,t)||this;return n.tool_name=\"Wheel Pan\",n.icon=a.bk_tool_icon_wheel_pan,n.event_type=\"scroll\",n.default_order=12,n}return o.__extends(t,e),t.init_WheelPanTool=function(){this.prototype.default_view=s,this.define({dimension:[i.Dimension,\"width\"]}),this.internal({speed:[i.Number,.001]})},Object.defineProperty(t.prototype,\"tooltip\",{get:function(){return this._get_dim_tooltip(this.tool_name,this.dimension)},enumerable:!0,configurable:!0}),t}(r.GestureTool);n.WheelPanTool=l,l.__name__=\"WheelPanTool\",l.init_WheelPanTool()},\n", " function _(e,o,t){var i=e(113),n=e(370),l=e(416),s=e(121),_=e(197),r=e(373),a=function(e){function o(){return null!==e&&e.apply(this,arguments)||this}return i.__extends(o,e),o.prototype._pinch=function(e){var o,t=e.sx,i=e.sy,n=e.scale;o=n>=1?20*(n-1):-20/n,this._scroll({type:\"wheel\",sx:t,sy:i,delta:o})},o.prototype._scroll=function(e){var o=this.plot_view.frame,t=o.bbox.h_range,i=o.bbox.v_range,n=e.sx,s=e.sy,_=this.model.dimensions,r=(\"width\"==_||\"both\"==_)&&t.start=0){var v=d.match(/\\$color(\\[.*\\])?:(\\w*)/),y=v[1],x=void 0===y?\"\":y,g=v[2],b=e.get_column(g);if(null==b){var w=_.span({},g+\" unknown\");m.appendChild(w);continue}var k=x.indexOf(\"hex\")>=0,T=x.indexOf(\"swatch\")>=0,H=u.isNumber(t)?b[t]:null;if(null==H){var C=_.span({},\"(null)\");m.appendChild(C);continue}k&&(H=h.color2hex(H));var G=_.span({},H);m.appendChild(G),T&&(G=_.span({class:f.bk_tooltip_color_block,style:{backgroundColor:H}},\" \"),m.appendChild(G))}else{(G=_.span()).innerHTML=c.replace_placeholders(d.replace(\"$~\",\"$data_\"),e,t,this.model.formatters,n),m.appendChild(G)}}return o},t}(o.InspectToolView);n.HoverToolView=b,b.__name__=\"HoverToolView\";var w=function(e){function t(t){var n=e.call(this,t)||this;return n.tool_name=\"Hover\",n.icon=y.bk_tool_icon_hover,n}return i.__extends(t,e),t.init_HoverTool=function(){this.prototype.default_view=b,this.define({tooltips:[p.Any,[[\"index\",\"$index\"],[\"data (x, y)\",\"($x, $y)\"],[\"screen (x, y)\",\"($sx, $sy)\"]]],formatters:[p.Any,{}],renderers:[p.Any,\"auto\"],names:[p.Array,[]],mode:[p.HoverMode,\"mouse\"],point_policy:[p.PointPolicy,\"snap_to_data\"],line_policy:[p.LinePolicy,\"nearest\"],show_arrow:[p.Boolean,!0],anchor:[p.Anchor,\"center\"],attachment:[p.TooltipAttachment,\"horizontal\"],callback:[p.Any]})},t}(o.InspectTool);n.HoverTool=w,w.__name__=\"HoverTool\",w.init_HoverTool()},\n", " function _(t,e,o){var n=t(113),i=t(121),r=t(116),c=t(166),l=t(364),u=function(t){function e(e){return t.call(this,e)||this}return n.__extends(e,t),e.init_ToolProxy=function(){this.define({tools:[i.Array,[]],active:[i.Boolean,!1],disabled:[i.Boolean,!1]})},Object.defineProperty(e.prototype,\"button_view\",{get:function(){return this.tools[0].button_view},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"event_type\",{get:function(){return this.tools[0].event_type},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"tooltip\",{get:function(){return this.tools[0].tooltip},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"tool_name\",{get:function(){return this.tools[0].tool_name},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"icon\",{get:function(){return this.tools[0].computed_icon},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"computed_icon\",{get:function(){return this.icon},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"toggleable\",{get:function(){var t=this.tools[0];return t instanceof l.InspectTool&&t.toggleable},enumerable:!0,configurable:!0}),e.prototype.initialize=function(){t.prototype.initialize.call(this),this.do=new r.Signal0(this,\"do\")},e.prototype.connect_signals=function(){var e=this;t.prototype.connect_signals.call(this),this.connect(this.do,function(){return e.doit()}),this.connect(this.properties.active.change,function(){return e.set_active()})},e.prototype.doit=function(){for(var t=0,e=this.tools;t0)if(\"multi\"==u)for(var w=0,T=z;w0&&this.actions.push(x(z))}for(var m in this.inspectors=[],i){(z=i[m]).length>0&&this.inspectors.push(x(z,!0))}for(var V in this.gestures){0!=(_=this.gestures[V]).tools.length&&(_.tools=r.sort_by(_.tools,function(t){return t.default_order}),\"pinch\"!=V&&\"scroll\"!=V&&\"multi\"!=V&&(_.tools[0].active=!0))}},o}(s.ToolbarBase);i.ProxyToolbar=p,p.__name__=\"ProxyToolbar\";var c=function(t){function o(){return null!==t&&t.apply(this,arguments)||this}return e.__extends(o,t),o.prototype.initialize=function(){this.model.toolbar.toolbar_location=this.model.toolbar_location,t.prototype.initialize.call(this)},Object.defineProperty(o.prototype,\"child_models\",{get:function(){return[this.model.toolbar]},enumerable:!0,configurable:!0}),o.prototype._update_layout=function(){this.layout=new h.ContentBox(this.child_views[0].el),this.model.toolbar.horizontal?this.layout.set_sizing({width_policy:\"fit\",min_width:100,height_policy:\"fixed\"}):this.layout.set_sizing({width_policy:\"fixed\",height_policy:\"fit\",min_height:100})},o}(a.LayoutDOMView);i.ToolbarBoxView=c,c.__name__=\"ToolbarBoxView\";var u=function(t){function o(o){return t.call(this,o)||this}return e.__extends(o,t),o.init_ToolbarBox=function(){this.prototype.default_view=c,this.define({toolbar:[n.Instance],toolbar_location:[n.Location,\"right\"]})},o}(a.LayoutDOM);i.ToolbarBox=u,u.__name__=\"ToolbarBox\",u.init_ToolbarBox()},\n", " function _(e,n,t){var d=e(106),i=e(163),o=e(442);t.index={},t.add_document_standalone=function(e,n,a,l){void 0===a&&(a={}),void 0===l&&(l=!1);var r={};function v(e){var d;e.id in a?d=a[e.id]:n.classList.contains(o.BOKEH_ROOT)?d=n:(d=i.div({class:o.BOKEH_ROOT}),n.appendChild(d));var l=function(e){var n=new e.default_view({model:e,parent:null});return t.index[e.id]=n,n}(e);l.renderTo(d),r[e.id]=l}for(var c=0,u=e.roots();c\");if(\"SCRIPT\"==r.tagName){var t=n.div({class:o.BOKEH_ROOT});n.replaceWith(r,t),r=t}return r}o.BOKEH_ROOT=t.bk_root,o._resolve_element=function(e){var r=e.elementid;return null!=r?l(r):document.body},o._resolve_root_elements=function(e){var r={};if(null!=e.roots)for(var o in e.roots)r[o]=l(e.roots[o]);return r}},\n", " function _(n,o,t){var e=n(444),r=n(167),a=n(441);t._get_ws_url=function(n,o){var t,e=\"ws:\";return\"https:\"==window.location.protocol&&(e=\"wss:\"),null!=o?(t=document.createElement(\"a\")).href=o:t=window.location,null!=n?\"/\"==n&&(n=\"\"):n=t.pathname.replace(/\\/+$/,\"\"),e+\"//\"+t.host+n+\"/ws\"};var i={};t.add_document_from_session=function(n,o,t,s,u){void 0===s&&(s={}),void 0===u&&(u=!1);var c=window.location.search.substr(1);return function(n,o,t){n in i||(i[n]={});var r=i[n];return o in r||(r[o]=e.pull_session(n,o,t)),r[o]}(n,o,c).then(function(n){return a.add_document_standalone(n.document,t,s,u)},function(n){throw r.logger.error(\"Failed to load Bokeh session \"+o+\": \"+n),n})}},\n", " function _(e,n,o){var t=e(167),s=e(106),r=e(445),i=e(446),c=e(447);o.DEFAULT_SERVER_WEBSOCKET_URL=\"ws://localhost:5006/ws\",o.DEFAULT_SESSION_ID=\"default\";var l=0,_=function(){function e(e,n,s,r,c){void 0===e&&(e=o.DEFAULT_SERVER_WEBSOCKET_URL),void 0===n&&(n=o.DEFAULT_SESSION_ID),void 0===s&&(s=null),void 0===r&&(r=null),void 0===c&&(c=null),this.url=e,this.id=n,this.args_string=s,this._on_have_session_hook=r,this._on_closed_permanently_hook=c,this._number=l++,this.socket=null,this.session=null,this.closed_permanently=!1,this._current_handler=null,this._pending_ack=null,this._pending_replies={},this._pending_messages=[],this._receiver=new i.Receiver,t.logger.debug(\"Creating websocket \"+this._number+\" to '\"+this.url+\"' session '\"+this.id+\"'\")}return e.prototype.connect=function(){var e=this;if(this.closed_permanently)return Promise.reject(new Error(\"Cannot connect() a closed ClientConnection\"));if(null!=this.socket)return Promise.reject(new Error(\"Already connected\"));this._pending_replies={},this._current_handler=null;try{var n=this.url+\"?bokeh-protocol-version=1.0&bokeh-session-id=\"+this.id;return null!=this.args_string&&this.args_string.length>0&&(n+=\"&\"+this.args_string),this.socket=new WebSocket(n),new Promise(function(n,o){e.socket.binaryType=\"arraybuffer\",e.socket.onopen=function(){return e._on_open(n,o)},e.socket.onmessage=function(n){return e._on_message(n)},e.socket.onclose=function(n){return e._on_close(n)},e.socket.onerror=function(){return e._on_error(o)}})}catch(e){return t.logger.error(\"websocket creation failed to url: \"+this.url),t.logger.error(\" - \"+e),Promise.reject(e)}},e.prototype.close=function(){this.closed_permanently||(t.logger.debug(\"Permanently closing websocket connection \"+this._number),this.closed_permanently=!0,null!=this.socket&&this.socket.close(1e3,\"close method called on ClientConnection \"+this._number),this.session._connection_closed(),null!=this._on_closed_permanently_hook&&(this._on_closed_permanently_hook(),this._on_closed_permanently_hook=null))},e.prototype._schedule_reconnect=function(e){var n=this;setTimeout(function(){n.closed_permanently||t.logger.info(\"Websocket connection \"+n._number+\" disconnected, will not attempt to reconnect\")},e)},e.prototype.send=function(e){if(null==this.socket)throw new Error(\"not connected so cannot send \"+e);e.send(this.socket)},e.prototype.send_with_reply=function(e){var n=this;return new Promise(function(o,t){n._pending_replies[e.msgid()]=[o,t],n.send(e)}).then(function(e){if(\"ERROR\"===e.msgtype())throw new Error(\"Error reply \"+e.content.text);return e},function(e){throw e})},e.prototype._pull_doc_json=function(){var e=r.Message.create(\"PULL-DOC-REQ\",{});return this.send_with_reply(e).then(function(e){if(!(\"doc\"in e.content))throw new Error(\"No 'doc' field in PULL-DOC-REPLY\");return e.content.doc},function(e){throw e})},e.prototype._repull_session_doc=function(){var e=this;null==this.session?t.logger.debug(\"Pulling session for first time\"):t.logger.debug(\"Repulling session\"),this._pull_doc_json().then(function(n){if(null==e.session)if(e.closed_permanently)t.logger.debug(\"Got new document after connection was already closed\");else{var o=s.Document.from_json(n),i=s.Document._compute_patch_since_json(n,o);if(i.events.length>0){t.logger.debug(\"Sending \"+i.events.length+\" changes from model construction back to server\");var l=r.Message.create(\"PATCH-DOC\",{},i);e.send(l)}e.session=new c.ClientSession(e,o,e.id);for(var _=0,h=e._pending_messages;_0)throw new Error(\"BokehJS only supports receiving buffers, not sending\");var t=JSON.stringify(this.header),r=JSON.stringify(this.metadata),n=JSON.stringify(this.content);e.send(t),e.send(r),e.send(n)},e.prototype.msgid=function(){return this.header.msgid},e.prototype.msgtype=function(){return this.header.msgtype},e.prototype.reqid=function(){return this.header.reqid},e.prototype.problem=function(){return\"msgid\"in this.header?\"msgtype\"in this.header?null:\"No msgtype in header\":\"No msgid in header\"},e}();r.Message=s,s.__name__=\"Message\"},\n", " function _(t,e,s){var r=t(445),_=function(){function t(){this.message=null,this._partial=null,this._fragments=[],this._buf_header=null,this._current_consumer=this._HEADER}return t.prototype.consume=function(t){this._current_consumer(t)},t.prototype._HEADER=function(t){this._assume_text(t),this.message=null,this._partial=null,this._fragments=[t],this._buf_header=null,this._current_consumer=this._METADATA},t.prototype._METADATA=function(t){this._assume_text(t),this._fragments.push(t),this._current_consumer=this._CONTENT},t.prototype._CONTENT=function(t){this._assume_text(t),this._fragments.push(t);var e=this._fragments.slice(0,3),s=e[0],_=e[1],i=e[2];this._partial=r.Message.assemble(s,_,i),this._check_complete()},t.prototype._BUFFER_HEADER=function(t){this._assume_text(t),this._buf_header=t,this._current_consumer=this._BUFFER_PAYLOAD},t.prototype._BUFFER_PAYLOAD=function(t){this._assume_binary(t),this._partial.assemble_buffer(this._buf_header,t),this._check_complete()},t.prototype._assume_text=function(t){if(t instanceof ArrayBuffer)throw new Error(\"Expected text fragment but received binary fragment\")},t.prototype._assume_binary=function(t){if(!(t instanceof ArrayBuffer))throw new Error(\"Expected binary fragment but received text fragment\")},t.prototype._check_complete=function(){this._partial.complete()?(this.message=this._partial,this._current_consumer=this._HEADER):this._current_consumer=this._BUFFER_HEADER},t}();s.Receiver=_,_.__name__=\"Receiver\"},\n", " function _(e,t,n){var o=e(106),i=e(445),r=e(167),s=function(){function e(e,t,n){var o=this;this._connection=e,this.document=t,this.id=n,this._document_listener=function(e){return o._document_changed(e)},this.document.on_change(this._document_listener),this.event_manager=this.document.event_manager,this.event_manager.session=this}return e.prototype.handle=function(e){var t=e.msgtype();\"PATCH-DOC\"===t?this._handle_patch(e):\"OK\"===t?this._handle_ok(e):\"ERROR\"===t?this._handle_error(e):r.logger.debug(\"Doing nothing with message \"+e.msgtype())},e.prototype.close=function(){this._connection.close()},e.prototype.send_event=function(e){var t=i.Message.create(\"EVENT\",{},JSON.stringify(e.to_json()));this._connection.send(t)},e.prototype._connection_closed=function(){this.document.remove_on_change(this._document_listener)},e.prototype.request_server_info=function(){var e=i.Message.create(\"SERVER-INFO-REQ\",{});return this._connection.send_with_reply(e).then(function(e){return e.content})},e.prototype.force_roundtrip=function(){return this.request_server_info().then(function(e){})},e.prototype._document_changed=function(e){if(e.setter_id!==this.id&&(!(e instanceof o.ModelChangedEvent)||e.attr in e.model.serializable_attributes())){var t=i.Message.create(\"PATCH-DOC\",{},this.document.create_json_patch([e]));this._connection.send(t)}},e.prototype._handle_patch=function(e){this.document.apply_json_patch(e.content,e.buffers,this.id)},e.prototype._handle_ok=function(e){r.logger.trace(\"Unhandled OK reply to \"+e.reqid())},e.prototype._handle_error=function(e){r.logger.error(\"Unhandled ERROR reply to \"+e.reqid()+\": \"+e.content.text)},e}();n.ClientSession=s,s.__name__=\"ClientSession\"},\n", " function _(e,o,t){var n=e(106),r=e(446),s=e(167),i=e(125),a=e(441),l=e(442);function c(e,o){o.buffers.length>0?e.consume(o.buffers[0].buffer):e.consume(o.content.data);var t=e.message;null!=t&&this.apply_json_patch(t.content,t.buffers)}function g(e,o){if(\"undefined\"!=typeof Jupyter&&null!=Jupyter.notebook.kernel){s.logger.info(\"Registering Jupyter comms for target \"+e);var n=Jupyter.notebook.kernel.comm_manager;try{n.register_target(e,function(t){s.logger.info(\"Registering Jupyter comms for target \"+e);var n=new r.Receiver;t.on_msg(c.bind(o,n))})}catch(e){s.logger.warn(\"Jupyter comms failed to register. push_notebook() will not function. (exception reported: \"+e+\")\")}}else if(o.roots()[0].id in t.kernels){s.logger.info(\"Registering JupyterLab comms for target \"+e);var i=t.kernels[o.roots()[0].id];try{i.registerCommTarget(e,function(t){s.logger.info(\"Registering JupyterLab comms for target \"+e);var n=new r.Receiver;t.onMsg=c.bind(o,n)})}catch(e){s.logger.warn(\"Jupyter comms failed to register. push_notebook() will not function. (exception reported: \"+e+\")\")}}else console.warn(\"Jupyter notebooks comms not available. push_notebook() will not function. If running JupyterLab ensure the latest @bokeh/jupyter_bokeh extension is installed. In an exported notebook this warning is expected.\")}e(374),e(449),t.kernels={},t.embed_items_notebook=function(e,o){if(1!=i.size(e))throw new Error(\"embed_items_notebook expects exactly one document in docs_json\");for(var t=n.Document.from_json(i.values(e)[0]),r=0,s=o;r0&&(this.model.value=this.menu.children[this._hover_index].textContent,this.input_el.focus(),this._hide_menu())},t.prototype._update_completions=function(e){s.empty(this.menu);for(var t=0,n=e;t0&&this.menu.children[0].classList.add(r.bk_active)},t.prototype._show_menu=function(){var e=this;if(!this._open){this._open=!0,this._hover_index=0,this._last_value=this.model.value,s.display(this.menu);var t=function(n){var i=n.target;i instanceof HTMLElement&&!e.el.contains(i)&&(document.removeEventListener(\"click\",t),e._hide_menu())};document.addEventListener(\"click\",t)}},t.prototype._hide_menu=function(){this._open&&(this._open=!1,s.undisplay(this.menu))},t.prototype._menu_click=function(e){e.target!=e.currentTarget&&e.target instanceof Element&&(this.model.value=e.target.textContent,this.input_el.focus(),this._hide_menu())},t.prototype._menu_hover=function(e){if(e.target!=e.currentTarget&&e.target instanceof Element){var t=0;for(t=0;t0&&(this.menu.children[this._hover_index].classList.remove(r.bk_active),this._hover_index=u.clamp(e,0,t-1),this.menu.children[this._hover_index].classList.add(r.bk_active))},t.prototype._keydown=function(e){},t.prototype._keyup=function(e){switch(e.keyCode){case s.Keys.Enter:this.change_input();break;case s.Keys.Esc:this._hide_menu();break;case s.Keys.Up:this._bump_hover(this._hover_index-1);break;case s.Keys.Down:this._bump_hover(this._hover_index+1);break;default:var t=this.input_el.value;if(t.length *:not(:first-child) {\\n margin-left: 5px;\\n}\\n.bk-root .bk-input-group input[type=\"checkbox\"] + span,\\n.bk-root .bk-input-group input[type=\"radio\"] + span {\\n position: relative;\\n top: -2px;\\n margin-left: 3px;\\n}\\n'),t.bk_input=\"bk-input\",t.bk_input_group=\"bk-input-group\"},\n", " 482: function _(t,n,i){var e=t(113),o=t(474),u=t(376),c=t(121),r=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return e.__extends(n,t),n.prototype.click=function(){this.model.clicks=this.model.clicks+1,this.model.trigger_event(new u.ButtonClick),t.prototype.click.call(this)},n}(o.AbstractButtonView);i.ButtonView=r,r.__name__=\"ButtonView\";var l=function(t){function n(n){return t.call(this,n)||this}return e.__extends(n,t),n.init_Button=function(){this.prototype.default_view=r,this.define({clicks:[c.Number,0]}),this.override({label:\"Button\"})},n}(o.AbstractButton);i.Button=l,l.__name__=\"Button\",l.init_Button()},\n", " 483: function _(t,e,o){var n=t(113),i=t(484),u=t(163),c=t(117),r=t(121),a=t(240),h=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return n.__extends(e,t),Object.defineProperty(e.prototype,\"active\",{get:function(){return new c.Set(this.model.active)},enumerable:!0,configurable:!0}),e.prototype.change_active=function(t){var e=this.active;e.toggle(t),this.model.active=e.values,null!=this.model.callback&&this.model.callback.execute(this.model)},e.prototype._update_active=function(){var t=this.active;this._buttons.forEach(function(e,o){u.classes(e).toggle(a.bk_active,t.has(o))})},e}(i.ButtonGroupView);o.CheckboxButtonGroupView=h,h.__name__=\"CheckboxButtonGroupView\";var l=function(t){function e(e){return t.call(this,e)||this}return n.__extends(e,t),e.init_CheckboxButtonGroup=function(){this.prototype.default_view=h,this.define({active:[r.Array,[]]})},e}(i.ButtonGroup);o.CheckboxButtonGroup=l,l.__name__=\"CheckboxButtonGroup\",l.init_CheckboxButtonGroup()},\n", " 484: function _(t,n,e){var o=t(113),i=t(475),r=t(163),u=t(121),a=t(347),s=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return o.__extends(n,t),n.prototype.connect_signals=function(){var n=this;t.prototype.connect_signals.call(this);var e=this.model.properties;this.on_change(e.button_type,function(){return n.render()}),this.on_change(e.labels,function(){return n.render()}),this.on_change(e.active,function(){return n._update_active()})},n.prototype.render=function(){var n=this;t.prototype.render.call(this),this._buttons=this.model.labels.map(function(t,e){var o=r.div({class:[a.bk_btn,a.bk_btn_type(n.model.button_type)],disabled:n.model.disabled},t);return o.addEventListener(\"click\",function(){return n.change_active(e)}),o}),this._update_active();var e=r.div({class:a.bk_btn_group},this._buttons);this.el.appendChild(e)},n}(i.ControlView);e.ButtonGroupView=s,s.__name__=\"ButtonGroupView\";var _=function(t){function n(n){return t.call(this,n)||this}return o.__extends(n,t),n.init_ButtonGroup=function(){this.define({labels:[u.Array,[]],button_type:[u.ButtonType,\"default\"],callback:[u.Any]})},n}(i.Control);e.ButtonGroup=_,_.__name__=\"ButtonGroup\",_.init_ButtonGroup()},\n", " 485: function _(e,t,n){var i=e(113),l=e(486),o=e(163),a=e(110),r=e(117),c=e(121),u=e(240),h=e(481),p=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return i.__extends(t,e),t.prototype.render=function(){var t=this;e.prototype.render.call(this);var n=o.div({class:[h.bk_input_group,this.model.inline?u.bk_inline:null]});this.el.appendChild(n);for(var i=this.model,l=i.active,r=i.labels,c=function(e){var i=o.input({type:\"checkbox\",value:\"\"+e});i.addEventListener(\"change\",function(){return t.change_active(e)}),p.model.disabled&&(i.disabled=!0),a.includes(l,e)&&(i.checked=!0);var c=o.label({},i,o.span({},r[e]));n.appendChild(c)},p=this,s=0;sn||this._o.position.indexOf(\"right\")>-1&&a-e+t.offsetWidth>0)&&(a=a-e+t.offsetWidth),(this._o.reposition&&r+i>o+s||this._o.position.indexOf(\"top\")>-1&&r-i-t.offsetHeight>0)&&(r=r-i-t.offsetHeight),this.el.style.left=a+\"px\",this.el.style.top=r+\"px\"}};var d=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return n.__extends(e,t),e.prototype.connect_signals=function(){var e=this;t.prototype.connect_signals.call(this),this.connect(this.model.change,function(){return e.render()})},e.prototype.render=function(){var e=this;null!=this._picker&&this._picker.destroy(),t.prototype.render.call(this),this.input_el=s.input({type:\"text\",class:r.bk_input,disabled:this.model.disabled}),this.group_el.appendChild(this.input_el),this._picker=new a({field:this.input_el,defaultDate:this._unlocal_date(new Date(this.model.value)),setDefaultDate:!0,minDate:null!=this.model.min_date?this._unlocal_date(new Date(this.model.min_date)):void 0,maxDate:null!=this.model.max_date?this._unlocal_date(new Date(this.model.max_date)):void 0,onSelect:function(t){return e._on_select(t)}}),this._root_element.appendChild(this._picker.el)},e.prototype._unlocal_date=function(t){var e=6e4*t.getTimezoneOffset();t.setTime(t.getTime()-e);var i=t.toISOString().substr(0,10).split(\"-\");return new Date(Number(i[0]),Number(i[1])-1,Number(i[2]))},e.prototype._on_select=function(t){this.model.value=t.toDateString(),this.change_input()},e}(o.InputWidgetView);i.DatePickerView=d,d.__name__=\"DatePickerView\";var h=function(t){function e(e){return t.call(this,e)||this}return n.__extends(e,t),e.init_DatePicker=function(){this.prototype.default_view=d,this.define({value:[l.Any,(new Date).toDateString()],min_date:[l.Any],max_date:[l.Any]})},e}(o.InputWidget);i.DatePicker=h,h.__name__=\"DatePicker\",h.init_DatePicker()},\n", " 489: function _(e,t,n){var a=function(e,t,n,a){e.addEventListener(t,n,!!a)},i=function(e,t,n,a){e.removeEventListener(t,n,!!a)},s=function(e,t){return-1!==(\" \"+e.className+\" \").indexOf(\" \"+t+\" \")},o=function(e,t){s(e,t)||(e.className=\"\"===e.className?t:e.className+\" \"+t)},r=function(e,t){var n;e.className=(n=(\" \"+e.className+\" \").replace(\" \"+t+\" \",\" \")).trim?n.trim():n.replace(/^\\s+|\\s+$/g,\"\")},l=function(e){return/Array/.test(Object.prototype.toString.call(e))},h=function(e){return/Date/.test(Object.prototype.toString.call(e))&&!isNaN(e.getTime())},d=function(e){var t=e.getDay();return 0===t||6===t},u=function(e){\n", " // solution lifted from date.js (MIT license): https://github.com/datejs/Datejs\n", " return e%4==0&&e%100!=0||e%400==0},c=function(e,t){return[31,u(e)?29:28,31,30,31,30,31,31,30,31,30,31][t]},f=function(e){h(e)&&e.setHours(0,0,0,0)},g=function(e,t){return e.getTime()===t.getTime()},m=function(e,t,n){var a,i;for(a in t)(i=void 0!==e[a])&&\"object\"==typeof t[a]&&null!==t[a]&&void 0===t[a].nodeName?h(t[a])?n&&(e[a]=new Date(t[a].getTime())):l(t[a])?n&&(e[a]=t[a].slice(0)):e[a]=m({},t[a],n):!n&&i||(e[a]=t[a]);return e},p=function(e,t,n){var a;document.createEvent?((a=document.createEvent(\"HTMLEvents\")).initEvent(t,!0,!1),a=m(a,n),e.dispatchEvent(a)):document.createEventObject&&(a=document.createEventObject(),a=m(a,n),e.fireEvent(\"on\"+t,a))},y=function(e){return e.month<0&&(e.year-=Math.ceil(Math.abs(e.month)/12),e.month+=12),e.month>11&&(e.year+=Math.floor(Math.abs(e.month)/12),e.month-=12),e},D={field:null,bound:void 0,ariaLabel:\"Use the arrow keys to pick a date\",position:\"bottom left\",reposition:!0,format:\"YYYY-MM-DD\",toString:null,parse:null,defaultDate:null,setDefaultDate:!1,firstDay:0,formatStrict:!1,minDate:null,maxDate:null,yearRange:10,showWeekNumber:!1,pickWholeWeek:!1,minYear:0,maxYear:9999,minMonth:void 0,maxMonth:void 0,startRange:null,endRange:null,isRTL:!1,yearSuffix:\"\",showMonthAfterYear:!1,showDaysInNextAndPreviousMonths:!1,enableSelectionDaysInNextAndPreviousMonths:!1,numberOfMonths:1,mainCalendar:\"left\",container:void 0,blurFieldOnSelect:!0,i18n:{previousMonth:\"Previous Month\",nextMonth:\"Next Month\",months:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],weekdays:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],weekdaysShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"]},theme:null,events:[],onSelect:null,onOpen:null,onClose:null,onDraw:null,keyboardInput:!0},b=function(e,t,n){for(t+=e.firstDay;t>=7;)t-=7;return n?e.i18n.weekdaysShort[t]:e.i18n.weekdays[t]},_=function(e){var t=[],n=\"false\";if(e.isEmpty){if(!e.showDaysInNextAndPreviousMonths)return'';t.push(\"is-outside-current-month\"),e.enableSelectionDaysInNextAndPreviousMonths||t.push(\"is-selection-disabled\")}return e.isDisabled&&t.push(\"is-disabled\"),e.isToday&&t.push(\"is-today\"),e.isSelected&&(t.push(\"is-selected\"),n=\"true\"),e.hasEvent&&t.push(\"has-event\"),e.isInRange&&t.push(\"is-inrange\"),e.isStartRange&&t.push(\"is-startrange\"),e.isEndRange&&t.push(\"is-endrange\"),'\"},v=function(e,t,n){return''+function(e){e.setHours(0,0,0,0);var t=e.getDate(),n=e.getDay(),a=function(e){return(e+7-1)%7};e.setDate(t+3-a(n));var i=new Date(e.getFullYear(),0,4),s=(e.getTime()-i.getTime())/864e5;return 1+Math.round((s-3+a(i.getDay()))/7)}(new Date(n,t,e))+\"\"},w=function(e,t,n,a){return''+(t?e.reverse():e).join(\"\")+\"\"},k=function(e,t,n,a,i,s){var o,r,h,d,u,c=e._o,f=n===c.minYear,g=n===c.maxYear,m='
',p=!0,y=!0;for(h=[],o=0;o<12;o++)h.push('\");for(d='
'+c.i18n.months[a]+'
\",l(c.yearRange)?(o=c.yearRange[0],r=c.yearRange[1]+1):(o=n-c.yearRange,r=1+n+c.yearRange),h=[];o=c.minYear&&h.push('\");return u='
'+n+c.yearSuffix+'
\",c.showMonthAfterYear?m+=u+d:m+=d+u,f&&(0===a||c.minMonth>=a)&&(p=!1),g&&(11===a||c.maxMonth<=a)&&(y=!1),0===t&&(m+='\"),t===e._o.numberOfMonths-1&&(m+='\"),m+\"
\"},M=function(e,t,n){return''+function(e){var t,n=[];for(e.showWeekNumber&&n.push(\"\"),t=0;t<7;t++)n.push('\");return\"\"+(e.isRTL?n.reverse():n).join(\"\")+\"\"}(e)+(\"\"+t.join(\"\")+\"\")+\"
'+b(e,t,!0)+\"
\"},x=function(e){var t=this,n=t.config(e);t._onMouseDown=function(e){if(t._v){var a=(e=e||window.event).target||e.srcElement;if(a)if(s(a,\"is-disabled\")||(!s(a,\"pika-button\")||s(a,\"is-empty\")||s(a.parentNode,\"is-disabled\")?s(a,\"pika-prev\")?t.prevMonth():s(a,\"pika-next\")&&t.nextMonth():(t.setDate(new Date(a.getAttribute(\"data-pika-year\"),a.getAttribute(\"data-pika-month\"),a.getAttribute(\"data-pika-day\"))),n.bound&&setTimeout(function(){t.hide(),n.blurFieldOnSelect&&n.field&&n.field.blur()},100))),s(a,\"pika-select\"))t._c=!0;else{if(!e.preventDefault)return e.returnValue=!1,!1;e.preventDefault()}}},t._onChange=function(e){var n=(e=e||window.event).target||e.srcElement;n&&(s(n,\"pika-select-month\")?t.gotoMonth(n.value):s(n,\"pika-select-year\")&&t.gotoYear(n.value))},t._onKeyChange=function(e){if(e=e||window.event,t.isVisible())switch(e.keyCode){case 13:case 27:n.field&&n.field.blur();break;case 37:t.adjustDate(\"subtract\",1);break;case 38:t.adjustDate(\"subtract\",7);break;case 39:t.adjustDate(\"add\",1);break;case 40:t.adjustDate(\"add\",7);break;case 8:case 46:t.setDate(null)}},t._parseFieldValue=function(){return n.parse?n.parse(n.field.value,n.format):new Date(Date.parse(n.field.value))},t._onInputChange=function(e){var n;e.firedBy!==t&&(n=t._parseFieldValue(),h(n)&&t.setDate(n),t._v||t.show())},t._onInputFocus=function(){t.show()},t._onInputClick=function(){t.show()},t._onInputBlur=function(){var e=document.activeElement;do{if(s(e,\"pika-single\"))return}while(e=e.parentNode);t._c||(t._b=setTimeout(function(){t.hide()},50)),t._c=!1},t._onClick=function(e){var a=(e=e||window.event).target||e.srcElement,i=a;if(a){do{if(s(i,\"pika-single\")||i===n.trigger)return}while(i=i.parentNode);t._v&&a!==n.trigger&&i!==n.trigger&&t.hide()}},t.el=document.createElement(\"div\"),t.el.className=\"pika-single\"+(n.isRTL?\" is-rtl\":\"\")+(n.theme?\" \"+n.theme:\"\"),a(t.el,\"mousedown\",t._onMouseDown,!0),a(t.el,\"touchend\",t._onMouseDown,!0),a(t.el,\"change\",t._onChange),n.keyboardInput&&a(document,\"keydown\",t._onKeyChange),n.field&&(n.container?n.container.appendChild(t.el):n.bound?document.body.appendChild(t.el):n.field.parentNode.insertBefore(t.el,n.field.nextSibling),a(n.field,\"change\",t._onInputChange),n.defaultDate||(n.defaultDate=t._parseFieldValue(),n.setDefaultDate=!0));var i=n.defaultDate;h(i)?n.setDefaultDate?t.setDate(i,!0):t.gotoDate(i):t.gotoDate(new Date),n.bound?(this.hide(),t.el.className+=\" is-bound\",a(n.trigger,\"click\",t._onInputClick),a(n.trigger,\"focus\",t._onInputFocus),a(n.trigger,\"blur\",t._onInputBlur)):this.show()};x.prototype={config:function(e){this._o||(this._o=m({},D,!0));var t=m(this._o,e,!0);t.isRTL=!!t.isRTL,t.field=t.field&&t.field.nodeName?t.field:null,t.theme=\"string\"==typeof t.theme&&t.theme?t.theme:null,t.bound=!!(void 0!==t.bound?t.field&&t.bound:t.field),t.trigger=t.trigger&&t.trigger.nodeName?t.trigger:t.field,t.disableWeekends=!!t.disableWeekends,t.disableDayFn=\"function\"==typeof t.disableDayFn?t.disableDayFn:null;var n=parseInt(t.numberOfMonths,10)||1;if(t.numberOfMonths=n>4?4:n,h(t.minDate)||(t.minDate=!1),h(t.maxDate)||(t.maxDate=!1),t.minDate&&t.maxDate&&t.maxDate100&&(t.yearRange=100);return t},toString:function(e){return e=e||this._o.format,h(this._d)?this._o.toString?this._o.toString(this._d,e):this._d.toDateString():\"\"},getDate:function(){return h(this._d)?new Date(this._d.getTime()):null},setDate:function(e,t){if(!e)return this._d=null,this._o.field&&(this._o.field.value=\"\",p(this._o.field,\"change\",{firedBy:this})),this.draw();if(\"string\"==typeof e&&(e=new Date(Date.parse(e))),h(e)){var n=this._o.minDate,a=this._o.maxDate;h(n)&&ea&&(e=a),this._d=new Date(e.getTime()),f(this._d),this.gotoDate(this._d),this._o.field&&(this._o.field.value=this.toString(),p(this._o.field,\"change\",{firedBy:this})),t||\"function\"!=typeof this._o.onSelect||this._o.onSelect.call(this,this.getDate())}},clear:function(){this.setDate(null)},gotoDate:function(e){var t=!0;if(h(e)){if(this.calendars){var n=new Date(this.calendars[0].year,this.calendars[0].month,1),a=new Date(this.calendars[this.calendars.length-1].year,this.calendars[this.calendars.length-1].month,1),i=e.getTime();a.setMonth(a.getMonth()+1),a.setDate(a.getDate()-1),t=i=i&&(this._y=i,!isNaN(o)&&this._m>o&&(this._m=o));for(var l=0;l\";this.el.innerHTML=r,n.bound&&\"hidden\"!==n.field.type&&setTimeout(function(){n.trigger.focus()},1),\"function\"==typeof this._o.onDraw&&this._o.onDraw(this),n.bound&&n.field.setAttribute(\"aria-label\",n.ariaLabel)}},adjustPosition:function(){var e,t,n,a,i,s,l,h,d,u,c,f;if(!this._o.container){if(this.el.style.position=\"absolute\",t=e=this._o.trigger,n=this.el.offsetWidth,a=this.el.offsetHeight,i=window.innerWidth||document.documentElement.clientWidth,s=window.innerHeight||document.documentElement.clientHeight,l=window.pageYOffset||document.body.scrollTop||document.documentElement.scrollTop,c=!0,f=!0,\"function\"==typeof e.getBoundingClientRect)h=(u=e.getBoundingClientRect()).left+window.pageXOffset,d=u.bottom+window.pageYOffset;else for(h=t.offsetLeft,d=t.offsetTop+t.offsetHeight;t=t.offsetParent;)h+=t.offsetLeft,d+=t.offsetTop;(this._o.reposition&&h+n>i||this._o.position.indexOf(\"right\")>-1&&h-n+e.offsetWidth>0)&&(h=h-n+e.offsetWidth,c=!1),(this._o.reposition&&d+a>s+l||this._o.position.indexOf(\"top\")>-1&&d-a-e.offsetHeight>0)&&(d=d-a-e.offsetHeight,f=!1),this.el.style.left=h+\"px\",this.el.style.top=d+\"px\",o(this.el,c?\"left-aligned\":\"right-aligned\"),o(this.el,f?\"bottom-aligned\":\"top-aligned\"),r(this.el,c?\"right-aligned\":\"left-aligned\"),r(this.el,f?\"top-aligned\":\"bottom-aligned\")}},render:function(e,t,n){var a=this._o,i=new Date,s=c(e,t),o=new Date(e,t,1).getDay(),r=[],l=[];f(i),a.firstDay>0&&(o-=a.firstDay)<0&&(o+=7);for(var u=0===t?11:t-1,m=11===t?0:t+1,p=0===t?e-1:e,y=11===t?e+1:e,D=c(p,u),b=s+o,k=b;k>7;)k-=7;b+=7-k;for(var x=!1,R=0,N=0;R=s+o,O=R-o+1,E=t,j=e,F=a.startRange&&g(a.startRange,S),W=a.endRange&&g(a.endRange,S),A=a.startRange&&a.endRange&&a.startRangea.maxDate||a.disableWeekends&&d(S)||a.disableDayFn&&a.disableDayFn(S),isEmpty:Y,isStartRange:F,isEndRange:W,isInRange:A,showDaysInNextAndPreviousMonths:a.showDaysInNextAndPreviousMonths,enableSelectionDaysInNextAndPreviousMonths:a.enableSelectionDaysInNextAndPreviousMonths};a.pickWholeWeek&&T&&(x=!0),l.push(_(L)),7==++N&&(a.showWeekNumber&&l.unshift(v(R-o,t,e)),r.push(w(l,a.isRTL,a.pickWholeWeek,x)),l=[],N=0,x=!1)}return M(a,r,n)},isVisible:function(){return this._v},show:function(){this.isVisible()||(this._v=!0,this.draw(),r(this.el,\"is-hidden\"),this._o.bound&&(a(document,\"click\",this._onClick),this.adjustPosition()),\"function\"==typeof this._o.onOpen&&this._o.onOpen.call(this))},hide:function(){var e=this._v;!1!==e&&(this._o.bound&&i(document,\"click\",this._onClick),this.el.style.position=\"static\",this.el.style.left=\"auto\",this.el.style.top=\"auto\",o(this.el,\"is-hidden\"),this._v=!1,void 0!==e&&\"function\"==typeof this._o.onClose&&this._o.onClose.call(this))},destroy:function(){var e=this._o;this.hide(),i(this.el,\"mousedown\",this._onMouseDown,!0),i(this.el,\"touchend\",this._onMouseDown,!0),i(this.el,\"change\",this._onChange),e.keyboardInput&&i(document,\"keydown\",this._onKeyChange),e.field&&(i(e.field,\"change\",this._onInputChange),e.bound&&(i(e.trigger,\"click\",this._onInputClick),i(e.trigger,\"focus\",this._onInputFocus),i(e.trigger,\"blur\",this._onInputBlur))),this.el.parentNode&&this.el.parentNode.removeChild(this.el)}},t.exports=x},\n", " 490: function _(n,o,t){n(164),n(163).styles.append('.bk-root {\\n @charset \"UTF-8\";\\n /*!\\n * Pikaday\\n * Copyright © 2014 David Bushell | BSD & MIT license | https://dbushell.com/\\n */\\n /*\\nclear child float (pika-lendar), using the famous micro clearfix hack\\nhttp://nicolasgallagher.com/micro-clearfix-hack/\\n*/\\n /* styling for abbr */\\n}\\n.bk-root .pika-single {\\n z-index: 9999;\\n display: block;\\n position: relative;\\n color: #333;\\n background: #fff;\\n border: 1px solid #ccc;\\n border-bottom-color: #bbb;\\n font-family: \"Helvetica Neue\", Helvetica, Arial, sans-serif;\\n}\\n.bk-root .pika-single:before,\\n.bk-root .pika-single:after {\\n content: \" \";\\n display: table;\\n}\\n.bk-root .pika-single:after {\\n clear: both;\\n}\\n.bk-root .pika-single.is-hidden {\\n display: none;\\n}\\n.bk-root .pika-single.is-bound {\\n position: absolute;\\n box-shadow: 0 5px 15px -5px rgba(0, 0, 0, 0.5);\\n}\\n.bk-root .pika-lendar {\\n float: left;\\n width: 240px;\\n margin: 8px;\\n}\\n.bk-root .pika-title {\\n position: relative;\\n text-align: center;\\n}\\n.bk-root .pika-label {\\n display: inline-block;\\n position: relative;\\n z-index: 9999;\\n overflow: hidden;\\n margin: 0;\\n padding: 5px 3px;\\n font-size: 14px;\\n line-height: 20px;\\n font-weight: bold;\\n background-color: #fff;\\n}\\n.bk-root .pika-title select {\\n cursor: pointer;\\n position: absolute;\\n z-index: 9998;\\n margin: 0;\\n left: 0;\\n top: 5px;\\n opacity: 0;\\n}\\n.bk-root .pika-prev,\\n.bk-root .pika-next {\\n display: block;\\n cursor: pointer;\\n position: relative;\\n outline: none;\\n border: 0;\\n padding: 0;\\n width: 20px;\\n height: 30px;\\n /* hide text using text-indent trick, using width value (it\\'s enough) */\\n text-indent: 20px;\\n white-space: nowrap;\\n overflow: hidden;\\n background-color: transparent;\\n background-position: center center;\\n background-repeat: no-repeat;\\n background-size: 75% 75%;\\n opacity: 0.5;\\n}\\n.bk-root .pika-prev:hover,\\n.bk-root .pika-next:hover {\\n opacity: 1;\\n}\\n.bk-root .pika-prev,\\n.bk-root .is-rtl .pika-next {\\n float: left;\\n background-image: url(\\'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAeCAYAAAAsEj5rAAAAUklEQVR42u3VMQoAIBADQf8Pgj+OD9hG2CtONJB2ymQkKe0HbwAP0xucDiQWARITIDEBEnMgMQ8S8+AqBIl6kKgHiXqQqAeJepBo/z38J/U0uAHlaBkBl9I4GwAAAABJRU5ErkJggg==\\');\\n}\\n.bk-root .pika-next,\\n.bk-root .is-rtl .pika-prev {\\n float: right;\\n background-image: url(\\'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAeCAYAAAAsEj5rAAAAU0lEQVR42u3VOwoAMAgE0dwfAnNjU26bYkBCFGwfiL9VVWoO+BJ4Gf3gtsEKKoFBNTCoCAYVwaAiGNQGMUHMkjGbgjk2mIONuXo0nC8XnCf1JXgArVIZAQh5TKYAAAAASUVORK5CYII=\\');\\n}\\n.bk-root .pika-prev.is-disabled,\\n.bk-root .pika-next.is-disabled {\\n cursor: default;\\n opacity: 0.2;\\n}\\n.bk-root .pika-select {\\n display: inline-block;\\n}\\n.bk-root .pika-table {\\n width: 100%;\\n border-collapse: collapse;\\n border-spacing: 0;\\n border: 0;\\n}\\n.bk-root .pika-table th,\\n.bk-root .pika-table td {\\n width: 14.28571429%;\\n padding: 0;\\n}\\n.bk-root .pika-table th {\\n color: #999;\\n font-size: 12px;\\n line-height: 25px;\\n font-weight: bold;\\n text-align: center;\\n}\\n.bk-root .pika-button {\\n cursor: pointer;\\n display: block;\\n box-sizing: border-box;\\n -moz-box-sizing: border-box;\\n outline: none;\\n border: 0;\\n margin: 0;\\n width: 100%;\\n padding: 5px;\\n color: #666;\\n font-size: 12px;\\n line-height: 15px;\\n text-align: right;\\n background: #f5f5f5;\\n}\\n.bk-root .pika-week {\\n font-size: 11px;\\n color: #999;\\n}\\n.bk-root .is-today .pika-button {\\n color: #33aaff;\\n font-weight: bold;\\n}\\n.bk-root .is-selected .pika-button,\\n.bk-root .has-event .pika-button {\\n color: #fff;\\n font-weight: bold;\\n background: #33aaff;\\n box-shadow: inset 0 1px 3px #178fe5;\\n border-radius: 3px;\\n}\\n.bk-root .has-event .pika-button {\\n background: #005da9;\\n box-shadow: inset 0 1px 3px #0076c9;\\n}\\n.bk-root .is-disabled .pika-button,\\n.bk-root .is-inrange .pika-button {\\n background: #D5E9F7;\\n}\\n.bk-root .is-startrange .pika-button {\\n color: #fff;\\n background: #6CB31D;\\n box-shadow: none;\\n border-radius: 3px;\\n}\\n.bk-root .is-endrange .pika-button {\\n color: #fff;\\n background: #33aaff;\\n box-shadow: none;\\n border-radius: 3px;\\n}\\n.bk-root .is-disabled .pika-button {\\n pointer-events: none;\\n cursor: default;\\n color: #999;\\n opacity: 0.3;\\n}\\n.bk-root .is-outside-current-month .pika-button {\\n color: #999;\\n opacity: 0.3;\\n}\\n.bk-root .is-selection-disabled {\\n pointer-events: none;\\n cursor: default;\\n}\\n.bk-root .pika-button:hover,\\n.bk-root .pika-row.pick-whole-week:hover .pika-button {\\n color: #fff;\\n background: #ff8000;\\n box-shadow: none;\\n border-radius: 3px;\\n}\\n.bk-root .pika-table abbr {\\n border-bottom: none;\\n cursor: help;\\n}\\n')},\n", " 491: function _(e,t,n){var r=e(113),i=e(252),a=e(492),_=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return r.__extends(t,e),t}(a.AbstractRangeSliderView);n.DateRangeSliderView=_,_.__name__=\"DateRangeSliderView\";var o=function(e){function t(t){var n=e.call(this,t)||this;return n.behaviour=\"drag\",n.connected=[!1,!0,!1],n}return r.__extends(t,e),t.init_DateRangeSlider=function(){this.prototype.default_view=_,this.override({format:\"%d %b %Y\"})},t.prototype._formatter=function(e,t){return i(e,t)},t}(a.AbstractSlider);n.DateRangeSlider=o,o.__name__=\"DateRangeSlider\",o.init_DateRangeSlider()},\n", " 492: function _(t,e,i){var l=t(113),r=t(493),n=t(121),o=t(163),s=t(110),a=t(119),c=t(475),d=t(494),h=\"bk-noUi-\",_=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return l.__extends(e,t),Object.defineProperty(e.prototype,\"noUiSlider\",{get:function(){return this.slider_el.noUiSlider},enumerable:!0,configurable:!0}),e.prototype.initialize=function(){t.prototype.initialize.call(this),this._init_callback()},e.prototype.connect_signals=function(){var e=this;t.prototype.connect_signals.call(this);var i=this.model.properties,l=i.callback,r=i.callback_policy,n=i.callback_throttle;this.on_change([l,r,n],function(){return e._init_callback()});var o=this.model.properties,s=o.start,a=o.end,c=o.value,d=o.step,h=o.title;this.on_change([s,a,c,d],function(){var t=e._calc_to(),i=t.start,l=t.end,r=t.value,n=t.step;e.noUiSlider.updateOptions({range:{min:i,max:l},start:r,step:n})});var _=this.model.properties.bar_color;this.on_change(_,function(){e._set_bar_color()}),this.on_change([c,h],function(){return e._update_title()})},e.prototype._init_callback=function(){var t=this,e=this.model.callback,i=function(){null!=e&&e.execute(t.model),t.model.value_throttled=t.model.value};switch(this.model.callback_policy){case\"continuous\":this.callback_wrapper=i;break;case\"throttle\":this.callback_wrapper=a.throttle(i,this.model.callback_throttle);break;default:this.callback_wrapper=void 0}},e.prototype._update_title=function(){var t=this;o.empty(this.title_el);var e=null==this.model.title||0==this.model.title.length&&!this.model.show_value;if(this.title_el.style.display=e?\"none\":\"\",!e&&(0!=this.model.title.length&&(this.title_el.textContent=this.model.title+\": \"),this.model.show_value)){var i=this._calc_to().value.map(function(e){return t.model.pretty(e)}).join(\" .. \");this.title_el.appendChild(o.span({class:d.bk_slider_value},i))}},e.prototype._set_bar_color=function(){this.model.disabled||(this.slider_el.querySelector(\".bk-noUi-connect\").style.backgroundColor=this.model.bar_color)},e.prototype._keypress_handle=function(t,e){void 0===e&&(e=0);var i=this._calc_to(),l=i.start,r=i.value,n=i.end,o=i.step,s=2==r.length,a=l,c=n;switch(s&&0==e?c=r[1]:s&&1==e&&(a=r[0]),t.which){case 37:r[e]=Math.max(r[e]-o,a);break;case 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p=function(t,l){i&&(e.slider_el.querySelectorAll(\".bk-noUi-handle\")[t].querySelector(\".bk-noUi-tooltip\").style.display=l?\"block\":\"\")};this.noUiSlider.on(\"start\",function(t,e){return p(e,!0)}),this.noUiSlider.on(\"end\",function(t,e){return p(e,!1)})}else this.noUiSlider.updateOptions({range:{min:n,max:a},start:c,step:_});this._set_bar_color(),this.model.disabled?this.slider_el.setAttribute(\"disabled\",\"true\"):this.slider_el.removeAttribute(\"disabled\"),this.title_el=o.div({class:d.bk_slider_title}),this._update_title(),this.group_el=o.div({class:d.bk_input_group},this.title_el,this.slider_el),this.el.appendChild(this.group_el)},e.prototype._slide=function(t){this.model.value=this._calc_from(t),null!=this.callback_wrapper&&this.callback_wrapper()},e.prototype._change=function(t){switch(this.model.value=this._calc_from(t),this.model.value_throttled=this.model.value,this.model.callback_policy){case\"mouseup\":case\"throttle\":null!=this.model.callback&&this.model.callback.execute(this.model)}},e}(c.ControlView);_.__name__=\"AbstractBaseSliderView\";var u=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return l.__extends(e,t),e.prototype._calc_to=function(){return{start:this.model.start,end:this.model.end,value:[this.model.value],step:this.model.step}},e.prototype._calc_from=function(t){var e=t[0];return Number.isInteger(this.model.start)&&Number.isInteger(this.model.end)&&Number.isInteger(this.model.step)?Math.round(e):e},e.prototype._set_keypress_handles=function(){var t=this,e=this.slider_el.querySelector(\".bk-noUi-handle\");e.setAttribute(\"tabindex\",\"0\"),e.addEventListener(\"keydown\",function(e){return t._keypress_handle(e)})},e}(_);i.AbstractSliderView=u,u.__name__=\"AbstractSliderView\";var p=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return l.__extends(e,t),e.prototype._calc_to=function(){return{start:this.model.start,end:this.model.end,value:this.model.value,step:this.model.step}},e.prototype._calc_from=function(t){return t},e.prototype._set_keypress_handles=function(){var t=this,e=this.slider_el.querySelector(\".bk-noUi-handle-lower\"),i=this.slider_el.querySelector(\".bk-noUi-handle-upper\");e.setAttribute(\"tabindex\",\"0\"),e.addEventListener(\"keydown\",function(e){return t._keypress_handle(e,0)}),i.setAttribute(\"tabindex\",\"1\"),i.addEventListener(\"keydown\",function(e){return t._keypress_handle(e,1)})},e}(_);i.AbstractRangeSliderView=p,p.__name__=\"AbstractRangeSliderView\";var m=function(t){function e(e){var i=t.call(this,e)||this;return i.connected=!1,i}return l.__extends(e,t),e.init_AbstractSlider=function(){this.define({title:[n.String,\"\"],show_value:[n.Boolean,!0],start:[n.Any],end:[n.Any],value:[n.Any],value_throttled:[n.Any],step:[n.Number,1],format:[n.String],direction:[n.Any,\"ltr\"],tooltips:[n.Boolean,!0],callback:[n.Any],callback_throttle:[n.Number,200],callback_policy:[n.SliderCallbackPolicy,\"throttle\"],bar_color:[n.Color,\"#e6e6e6\"]})},e.prototype._formatter=function(t,e){return\"\"+t},e.prototype.pretty=function(t){return 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18px;\\n}\\n.bk-root .bk-noUi-vertical .bk-noUi-handle {\\n width: 28px;\\n height: 34px;\\n left: -6px;\\n top: -17px;\\n}\\n.bk-root .bk-noUi-target {\\n background: #FAFAFA;\\n border-radius: 4px;\\n border: 1px solid #D3D3D3;\\n box-shadow: inset 0 1px 1px #F0F0F0, 0 3px 6px -5px #BBB;\\n}\\n.bk-root .bk-noUi-connect {\\n background: #3FB8AF;\\n border-radius: 4px;\\n box-shadow: inset 0 0 3px rgba(51, 51, 51, 0.45);\\n -webkit-transition: background 450ms;\\n transition: background 450ms;\\n}\\n.bk-root .bk-noUi-draggable {\\n cursor: ew-resize;\\n}\\n.bk-root .bk-noUi-vertical .bk-noUi-draggable {\\n cursor: ns-resize;\\n}\\n.bk-root .bk-noUi-handle {\\n border: 1px solid #D9D9D9;\\n border-radius: 3px;\\n background: #FFF;\\n cursor: default;\\n box-shadow: inset 0 0 1px #FFF, inset 0 1px 7px #EBEBEB, 0 3px 6px -3px #BBB;\\n}\\n.bk-root .bk-noUi-active {\\n box-shadow: inset 0 0 1px #FFF, inset 0 1px 7px #DDD, 0 3px 6px -3px #BBB;\\n}\\n.bk-root 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0===e.cache&&(e.cache=!1),e.crossDomain&&(e.type=\"GET\")}),b.ajaxTransport(\"script\",function(e){var t,n;if(e.crossDomain||e.scriptAttrs)return{send:function(i,o){t=b(\"" ], "text/plain": [ ":AdjointLayout\n", " :Scatter [redchi] (Fit)\n", " :Histogram [Fit] (Fit_frequency)\n", " :Histogram [redchi] (redchi_frequency)" ] }, "metadata": { "application/vnd.holoviews_exec.v0+json": { "id": "1001" } }, "output_type": "display_data" } ], "source": [ "# Basic histogram of fit sets\n", "# Note this defaults to Holoviews/Bokeh for plotting, which produces an interactive plot.\n", "# Set backend = 'mpl' if Holoviews is not available.\n", "data.fitHist()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The overview histogram is fairly coarse, since it shows all results. It is clear, however, that there are many results at the low end of the range (by default this plots reduced $\\chi^2$ values). This can be explored in further detail via the interactive plot (if [using Holoviews](http://holoviews.org/getting_started/Introduction.html)), or via further plotting with specified thresholds or ranges (see below)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Dataset notes:\n", "\n", "- For \"perfect\" data (`dataDump_1000fitTests_multiFit_130921.pickle`) can get a large spread here, with best results at $10^{-11}$. \n", "- For noisey data (`dataDump_1000fitTests_multiFit_noise_011021.pickle`) have a smaller spread, best results low $10^{-4}$." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Mask selected 561 results (from 999).\n" ] }, { "data": {}, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.holoviews_exec.v0+json": "", "text/html": [ "
\n", "\n", "\n", "\n", "\n", "\n", "
\n", "
\n", "" ], "text/plain": [ ":AdjointLayout\n", " :Scatter [redchi] (Fit)\n", " :Histogram [Fit] (Fit_frequency)\n", " :Histogram [redchi] (redchi_frequency)" ] }, "metadata": { "application/vnd.holoviews_exec.v0+json": { "id": "1518" } }, "output_type": "display_data" } ], "source": [ "# With threshold set & fine binning.\n", "# See fitHist() docs for more options.\n", "data.fitHist(thres = 2.4e-4, bins = 100)\n", "\n", "# data.fitHist(bins=20, binRange = [2.3e-4, 2.4e-4]) # Example with a range set" ] }, { "cell_type": "markdown", "metadata": { "tags": [] }, "source": [ "## Data exploration\n", "\n", "The general aim in this procedure is to ascertain whether there was a good spread of parameters explored, and a single (or few sets) of best-fit results. There are a few procedures and helper methods for this..." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### View results\n", "\n", "Single results sets can be viewed in the main data structure, indexed by #." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "dict_keys(['AFBLM', 'residual', 'results'])" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Check keys\n", "fitNumber = 2\n", "data.data[fitNumber].keys()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here `results` is an [lmFit object](https://lmfit.github.io/lmfit-py/intro.html), which includes final fit results and information, and `AFBLM` contains the model output. (TODO: helper functions for this.) \n", "\n", "An example is shown below. Of particular note here is which parameters have `vary=True` - these are included in the fitting - and if there is a column `expression`, which indicates any parameters defined to have specific relationships (see the [basic demo notebook for more](https://pemtk.readthedocs.io/en/latest/fitting/PEMtk_fitting_basic_demo_030621-full.html#Setting-parameter-relations/constraints)). Any correlations found during fitting are also shown, which can also indicate parameters which are related (even if this is not predefined or known a priori).\n", "\n", "For the current dataset ('dataDump_1000fitTests_multiFit_noise_051021.pickle'), note that `p_PU_SG_PU_1_n1_1_1` has `vary=False`, hence the results are already defined as *relative* phases (and, in this example, the fixed value is kept at the original model value)." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/html": [ "

Fit Statistics

fitting methodleastsq
# function evals2812
# data points195
# variables11
chi-square 0.04215747
reduced chi-square 2.2912e-04
Akaike info crit.-1623.67186
Bayesian info crit.-1587.66886

Variables

name value standard error relative error initial value min max vary
m_PU_SG_PU_1_n1_1_1 1.61758339 227151.843 (14042666.65%) 0.4963375310160162 1.0000e-04 5.00000000 True
m_PU_SG_PU_1_1_n1_1 1.60986876 227266.217 (14117064.81%) 0.349972501184159 1.0000e-04 5.00000000 True
m_PU_SG_PU_3_n1_1_1 1.14366717 214620.511 (18765993.77%) 0.43544003283291643 1.0000e-04 5.00000000 True
m_PU_SG_PU_3_1_n1_1 1.14104307 213989.161 (18753819.79%) 0.16101762796183416 1.0000e-04 5.00000000 True
m_SU_SG_SU_1_0_0_1 2.65253557 0.06899386 (2.60%) 0.8234700291388766 1.0000e-04 5.00000000 True
m_SU_SG_SU_3_0_0_1 1.14378960 0.14902324 (13.03%) 0.5411867072477154 1.0000e-04 5.00000000 True
p_PU_SG_PU_1_n1_1_1 -0.86104140 0.00000000 (0.00%) -0.8610414024232179 -3.14159265 3.14159265 False
p_PU_SG_PU_1_1_n1_1 -0.85729904 167895.839 (19584279.35%) 0.021992539259326538 -3.14159265 3.14159265 True
p_PU_SG_PU_3_n1_1_1 1.20005808 224407.741 (18699740.07%) 0.023782497271738423 -3.14159265 3.14159265 True
p_PU_SG_PU_3_1_n1_1 1.19902071 296532.682 (24731239.48%) 0.5554954153030479 -3.14159265 3.14159265 True
p_SU_SG_SU_1_0_0_1 2.43703747 83742.0262 (3436222.35%) 0.5266569153447359 -3.14159265 3.14159265 True
p_SU_SG_SU_3_0_0_1 -0.70401900 83725.8242 (11892551.81%) 0.004178913362662073 -3.14159265 3.14159265 True

Correlations (unreported correlations are < 0.100)

m_PU_SG_PU_1_n1_1_1m_PU_SG_PU_1_1_n1_1-1.0000
m_PU_SG_PU_3_n1_1_1m_PU_SG_PU_3_1_n1_1-1.0000
p_SU_SG_SU_1_0_0_1p_SU_SG_SU_3_0_0_11.0000
p_PU_SG_PU_1_1_n1_1p_SU_SG_SU_1_0_0_10.9999
p_PU_SG_PU_1_1_n1_1p_SU_SG_SU_3_0_0_10.9999
m_PU_SG_PU_3_n1_1_1p_PU_SG_PU_3_n1_1_10.9923
m_PU_SG_PU_3_1_n1_1p_PU_SG_PU_3_n1_1_1-0.9921
m_PU_SG_PU_1_n1_1_1m_PU_SG_PU_3_1_n1_10.9852
m_PU_SG_PU_1_n1_1_1m_PU_SG_PU_3_n1_1_1-0.9849
m_PU_SG_PU_1_1_n1_1m_PU_SG_PU_3_1_n1_1-0.9848
m_PU_SG_PU_1_1_n1_1m_PU_SG_PU_3_n1_1_10.9845
m_PU_SG_PU_1_n1_1_1p_PU_SG_PU_3_n1_1_1-0.9585
m_PU_SG_PU_1_1_n1_1p_PU_SG_PU_3_n1_1_10.9579
m_SU_SG_SU_1_0_0_1m_SU_SG_SU_3_0_0_1-0.9312
p_PU_SG_PU_3_n1_1_1p_PU_SG_PU_3_1_n1_1-0.8223
m_PU_SG_PU_3_n1_1_1p_PU_SG_PU_3_1_n1_1-0.7514
m_PU_SG_PU_3_1_n1_1p_PU_SG_PU_3_1_n1_10.7503
p_PU_SG_PU_1_1_n1_1p_PU_SG_PU_3_1_n1_10.6663
p_PU_SG_PU_3_1_n1_1p_SU_SG_SU_1_0_0_10.6480
p_PU_SG_PU_3_1_n1_1p_SU_SG_SU_3_0_0_10.6476
m_PU_SG_PU_1_n1_1_1p_PU_SG_PU_3_1_n1_10.6332
m_PU_SG_PU_1_1_n1_1p_PU_SG_PU_3_1_n1_1-0.6316
m_PU_SG_PU_3_n1_1_1m_SU_SG_SU_1_0_0_1-0.5284
m_PU_SG_PU_3_1_n1_1m_SU_SG_SU_1_0_0_10.5284
m_SU_SG_SU_1_0_0_1p_PU_SG_PU_3_n1_1_1-0.5263
m_PU_SG_PU_1_n1_1_1m_SU_SG_SU_1_0_0_10.5166
m_PU_SG_PU_1_1_n1_1m_SU_SG_SU_1_0_0_1-0.5164
m_PU_SG_PU_3_n1_1_1m_SU_SG_SU_3_0_0_10.4968
m_PU_SG_PU_3_1_n1_1m_SU_SG_SU_3_0_0_1-0.4967
m_SU_SG_SU_3_0_0_1p_PU_SG_PU_3_n1_1_10.4949
m_PU_SG_PU_1_n1_1_1m_SU_SG_SU_3_0_0_1-0.4853
m_PU_SG_PU_1_1_n1_1m_SU_SG_SU_3_0_0_10.4851
m_SU_SG_SU_1_0_0_1p_PU_SG_PU_3_1_n1_10.4101
m_SU_SG_SU_3_0_0_1p_PU_SG_PU_3_1_n1_1-0.3865
m_PU_SG_PU_1_1_n1_1p_SU_SG_SU_3_0_0_10.1724
m_PU_SG_PU_1_1_n1_1p_SU_SG_SU_1_0_0_10.1719
m_PU_SG_PU_1_n1_1_1p_SU_SG_SU_3_0_0_1-0.1702
m_PU_SG_PU_1_n1_1_1p_SU_SG_SU_1_0_0_1-0.1697
m_PU_SG_PU_1_1_n1_1p_PU_SG_PU_1_1_n1_10.1670
m_PU_SG_PU_1_n1_1_1p_PU_SG_PU_1_1_n1_1-0.1648
p_PU_SG_PU_1_1_n1_1p_PU_SG_PU_3_n1_1_1-0.1330
p_PU_SG_PU_3_n1_1_1p_SU_SG_SU_1_0_0_1-0.1088
p_PU_SG_PU_3_n1_1_1p_SU_SG_SU_3_0_0_1-0.1083
" ], "text/plain": [ "" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Show some results\n", "data.data[fitNumber]['results']" ] }, { "cell_type": "markdown", "metadata": { "tags": [] }, "source": [ "### Classify fits\n", "\n", "To review and classify the \"sets\" of fit results which are apparent here, use the `classifyFits()` method. This will rebin/categorise the data and label each bin alphabetically. " ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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successchisqrredchiMinMax
countuniquetopfreqcountuniquetopfreqcountuniquetopfreq
redchiGroup
A8352True833835.0835.00.0446301.0835.0835.00.0002291.00.0002180.000321
B802True7980.080.00.0692531.080.080.00.0003771.00.0003210.000424
C142True1314.014.00.0885001.014.014.00.0004401.00.0004240.000527
D111True1111.011.00.1030481.011.011.00.0006051.00.0005270.000630
E61True66.06.00.1323561.06.06.00.0007191.00.0006300.000733
F181True1818.018.00.1404351.018.018.00.0007751.00.0007330.000836
G41True44.04.00.1549991.04.04.00.0008421.00.0008360.000939
H71True77.07.00.1732901.07.07.00.0009421.00.0009390.001042
I21True22.02.00.1932861.02.02.00.0010531.00.0010420.001146
\n", "
" ], "text/plain": [ " success chisqr redchi \\\n", " count unique top freq count unique top freq count \n", "redchiGroup \n", "A 835 2 True 833 835.0 835.0 0.044630 1.0 835.0 \n", "B 80 2 True 79 80.0 80.0 0.069253 1.0 80.0 \n", "C 14 2 True 13 14.0 14.0 0.088500 1.0 14.0 \n", "D 11 1 True 11 11.0 11.0 0.103048 1.0 11.0 \n", "E 6 1 True 6 6.0 6.0 0.132356 1.0 6.0 \n", "F 18 1 True 18 18.0 18.0 0.140435 1.0 18.0 \n", "G 4 1 True 4 4.0 4.0 0.154999 1.0 4.0 \n", "H 7 1 True 7 7.0 7.0 0.173290 1.0 7.0 \n", "I 2 1 True 2 2.0 2.0 0.193286 1.0 2.0 \n", "\n", " Min Max \n", " unique top freq \n", "redchiGroup \n", "A 835.0 0.000229 1.0 0.000218 0.000321 \n", "B 80.0 0.000377 1.0 0.000321 0.000424 \n", "C 14.0 0.000440 1.0 0.000424 0.000527 \n", "D 11.0 0.000605 1.0 0.000527 0.000630 \n", "E 6.0 0.000719 1.0 0.000630 0.000733 \n", "F 18.0 0.000775 1.0 0.000733 0.000836 \n", "G 4.0 0.000842 1.0 0.000836 0.000939 \n", "H 7.0 0.000942 1.0 0.000939 0.001042 \n", "I 2.0 0.001053 1.0 0.001042 0.001146 " ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Setting wide-form data self.[fits][dfWide] from self.[fits][dfLong] (as pivot table).\n", "*** Warning: found MultiIndex for DataFrame data.index - checkDims doesn't yet support Pandas MultiIndex.\n", "*** Warning: found MultiIndex for DataFrame data.index - checkDims doesn't yet support Pandas MultiIndex.\n", "Index(es) = ['Fit', 'Type', 'redchiGroup'], cols = value\n", "Set redchiGroup for data frame dfLong.\n", "Set redchiGroup for data frame AFpdLong.\n", "Couldn't set redchiGroup for data frame mask. Error : ('dType',).\n" ] }, { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# The default case simply rebins all data into 10 categories.\n", "data.classifyFits()" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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successchisqrredchiMinMax
countuniquetopfreqcountuniquetopfreqcountuniquetopfreq
redchiGroup
A00NaNNaN00NaNNaN00NaNNaN0.0002260.000227
B00NaNNaN00NaNNaN00NaNNaN0.0002270.000227
C00NaNNaN00NaNNaN00NaNNaN0.0002270.000228
D00NaNNaN00NaNNaN00NaNNaN0.0002280.000229
E3491True3493493490.042157513493490.00022911710.0002290.000230
F00NaNNaN00NaNNaN00NaNNaN0.0002300.000230
G271True2727270.0425252127270.00023111510.0002300.000231
H431True4343430.0426516143430.00023116310.0002310.000232
I241True2424240.0426877124240.00023199810.0002320.000233
J00NaNNaN00NaNNaN00NaNNaN0.0002330.000233
K111True1111110.0430736111110.00023409610.0002330.000234
L271True2727270.0432038127270.00023480310.0002340.000235
M32True2330.04334641330.00023557910.0002350.000236
N541True5454540.0433468154540.00023558110.0002360.000236
O51True5550.04353331550.0002365910.0002360.000237
P00NaNNaN00NaNNaN00NaNNaN0.0002370.000238
Q152True1415150.0438441115150.00023798810.0002380.000239
R31True3330.04391581330.00023867310.0002390.000239
S00NaNNaN00NaNNaN00NaNNaN0.0002390.000240
\n", "
" ], "text/plain": [ " success chisqr redchi \\\n", " count unique top freq count unique top freq count \n", "redchiGroup \n", "A 0 0 NaN NaN 0 0 NaN NaN 0 \n", "B 0 0 NaN NaN 0 0 NaN NaN 0 \n", "C 0 0 NaN NaN 0 0 NaN NaN 0 \n", "D 0 0 NaN NaN 0 0 NaN NaN 0 \n", "E 349 1 True 349 349 349 0.0421575 1 349 \n", "F 0 0 NaN NaN 0 0 NaN NaN 0 \n", "G 27 1 True 27 27 27 0.0425252 1 27 \n", "H 43 1 True 43 43 43 0.0426516 1 43 \n", "I 24 1 True 24 24 24 0.0426877 1 24 \n", "J 0 0 NaN NaN 0 0 NaN NaN 0 \n", "K 11 1 True 11 11 11 0.0430736 1 11 \n", "L 27 1 True 27 27 27 0.0432038 1 27 \n", "M 3 2 True 2 3 3 0.0433464 1 3 \n", "N 54 1 True 54 54 54 0.0433468 1 54 \n", "O 5 1 True 5 5 5 0.0435333 1 5 \n", "P 0 0 NaN NaN 0 0 NaN NaN 0 \n", "Q 15 2 True 14 15 15 0.0438441 1 15 \n", "R 3 1 True 3 3 3 0.0439158 1 3 \n", "S 0 0 NaN NaN 0 0 NaN NaN 0 \n", "\n", " Min Max \n", " unique top freq \n", "redchiGroup \n", "A 0 NaN NaN 0.000226 0.000227 \n", "B 0 NaN NaN 0.000227 0.000227 \n", "C 0 NaN NaN 0.000227 0.000228 \n", "D 0 NaN NaN 0.000228 0.000229 \n", "E 349 0.000229117 1 0.000229 0.000230 \n", "F 0 NaN NaN 0.000230 0.000230 \n", "G 27 0.000231115 1 0.000230 0.000231 \n", "H 43 0.000231163 1 0.000231 0.000232 \n", "I 24 0.000231998 1 0.000232 0.000233 \n", "J 0 NaN NaN 0.000233 0.000233 \n", "K 11 0.000234096 1 0.000233 0.000234 \n", "L 27 0.000234803 1 0.000234 0.000235 \n", "M 3 0.000235579 1 0.000235 0.000236 \n", "N 54 0.000235581 1 0.000236 0.000236 \n", "O 5 0.00023659 1 0.000236 0.000237 \n", "P 0 NaN NaN 0.000237 0.000238 \n", "Q 15 0.000237988 1 0.000238 0.000239 \n", "R 3 0.000238673 1 0.000239 0.000239 \n", "S 0 NaN NaN 0.000239 0.000240 " ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Setting wide-form data self.[fits][dfWide] from self.[fits][dfLong] (as pivot table).\n", "*** Warning: found MultiIndex for DataFrame data.index - checkDims doesn't yet support Pandas MultiIndex.\n", "*** Warning: found MultiIndex for DataFrame data.index - checkDims doesn't yet support Pandas MultiIndex.\n", "Index(es) = ['Fit', 'Type', 'redchiGroup'], cols = value\n", "Set redchiGroup for data frame dfLong.\n", "Set redchiGroup for data frame AFpdLong.\n", "Couldn't set redchiGroup for data frame mask. Error : ('dType',).\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Again, more control can be obtained by specifiying the desired binning.\n", "data.classifyFits(bins = [2.26e-4, 2.4e-4,20])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In this case, there are 349 fit results within the lowest (occupied) category (set E), which we can take to be the best fits possible in this case.\n", "\n", "To visualise the associated parameter sets, we can use the `corrPlot()` and `paramPlot()` methods. These default to the currently set classified data (this is found in the wide-form data output by `classifyFits()`, which defaults to `self.[fits][dfWide]`), with colour-coding by group. \n", "\n", "- `corrPlot()` uses [Seaborn's pairplot routine](https://seaborn.pydata.org/generated/seaborn.pairplot.html) to generate a full pair-wise correlation plot.\n", "- `paramPlot()` uses [Seaborn's catplot routine](https://seaborn.pydata.org/generated/seaborn.catplot.html) to generate scatter plots for a specified data type." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### corrPlot()\n", "\n", "`corrPlot()` uses [Seaborn's pairplot routine](https://seaborn.pydata.org/generated/seaborn.pairplot.html) to generate a full pair-wise correlation plot.\n", "\n", "TODO: add HV gridmatrix + linked brushing: http://holoviews.org/user_guide/Linked_Brushing.html" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Mask not set for dataType = None.\n", "*** Warning: found MultiIndex for DataFrame data.index - checkDims doesn't yet support Pandas MultiIndex.\n" ] }, { "data": { "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Default plot will give output by grouping\n", "data.corrPlot()" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Mask not set for dataType = None.\n", "*** Warning: found MultiIndex for DataFrame data.index - checkDims doesn't yet support Pandas MultiIndex.\n" ] }, { "data": { "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# For more control, standard catplot parameters can be passed.\n", "# See https://seaborn.pydata.org/generated/seaborn.pairplot.html\n", "\n", "# Plot with colour by Type and histograms on the diagonal\n", "data.corrPlot(hue='Type', diag_kind='hist')\n", "\n", "# Additional per-fit data can also be set for the hue mapping,\n", "# e.g. plot with colour by redchi (to 6 dp) and histograms on the diagonal\n", "# data.corrPlot(hue='redchi', hRound = 6, diag_kind='hist')" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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ParamTyperedchiGroupPU_SG_PU_1_1_n1_1PU_SG_PU_1_n1_1_1PU_SG_PU_3_1_n1_1PU_SG_PU_3_n1_1_1SU_SG_SU_1_0_0_1SU_SG_SU_3_0_0_1
0mQ1.9929721.9215660.4660550.0001002.4614391.556832
1pQ-0.861561-0.8610413.1415751.313656-3.032645-0.647618
2mE1.6098691.6175831.1410431.1436672.6525361.143790
3pE-0.857299-0.8610411.1990211.2000582.437037-0.704019
4mK1.9327821.9318570.3553410.3684182.5335061.418030
...........................
1117pL0.145056-0.8610412.0016521.692756-3.1415930.230230
1118mN1.9520311.9925610.0001000.8050982.3879931.651091
1119pN-0.739526-0.861041-1.4346960.9379201.420065-0.905355
1120mE1.6132121.6141011.1427821.1421062.6525231.143815
1121pE-0.862937-0.8610411.1959231.1975722.434125-0.708249
\n", "

1122 rows × 8 columns

\n", "
" ], "text/plain": [ "Param Type redchiGroup PU_SG_PU_1_1_n1_1 PU_SG_PU_1_n1_1_1 \\\n", "0 m Q 1.992972 1.921566 \n", "1 p Q -0.861561 -0.861041 \n", "2 m E 1.609869 1.617583 \n", "3 p E -0.857299 -0.861041 \n", "4 m K 1.932782 1.931857 \n", "... ... ... ... ... \n", "1117 p L 0.145056 -0.861041 \n", "1118 m N 1.952031 1.992561 \n", "1119 p N -0.739526 -0.861041 \n", "1120 m E 1.613212 1.614101 \n", "1121 p E -0.862937 -0.861041 \n", "\n", "Param PU_SG_PU_3_1_n1_1 PU_SG_PU_3_n1_1_1 SU_SG_SU_1_0_0_1 \\\n", "0 0.466055 0.000100 2.461439 \n", "1 3.141575 1.313656 -3.032645 \n", "2 1.141043 1.143667 2.652536 \n", "3 1.199021 1.200058 2.437037 \n", "4 0.355341 0.368418 2.533506 \n", "... ... ... ... \n", "1117 2.001652 1.692756 -3.141593 \n", "1118 0.000100 0.805098 2.387993 \n", "1119 -1.434696 0.937920 1.420065 \n", "1120 1.142782 1.142106 2.652523 \n", "1121 1.195923 1.197572 2.434125 \n", "\n", "Param SU_SG_SU_3_0_0_1 \n", "0 1.556832 \n", "1 -0.647618 \n", "2 1.143790 \n", "3 -0.704019 \n", "4 1.418030 \n", "... ... \n", "1117 0.230230 \n", "1118 1.651091 \n", "1119 -0.905355 \n", "1120 1.143815 \n", "1121 -0.708249 \n", "\n", "[1122 rows x 8 columns]" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Tabulated output from the last plot can be found in self.data['plots']['Data'], and the plot object in self.data['plots']['Plot']\n", "data.data['plots']['corrData']" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### paramPlot()\n", "\n", "For examining specific datatypes in more detail `paramPlot()` uses [Seaborn's catplot routine](https://seaborn.pydata.org/generated/seaborn.catplot.html) to generate scatter plots for a specified data type." ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Mask not set for dataType = None.\n", "*** Warning: found MultiIndex for DataFrame data.index - checkDims doesn't yet support Pandas MultiIndex.\n" ] }, { "data": { "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plot all data, magnitudes\n", "data.paramPlot(dataType='m')" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Mask not set for dataType = None.\n", "*** Warning: found MultiIndex for DataFrame data.index - checkDims doesn't yet support Pandas MultiIndex.\n" ] }, { "data": { "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plot all data, phases\n", "data.paramPlot(dataType='p')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here we can see that there are various sets of parameters which do, indeed, cluster by group (hence $\\chi^2$) for the most part, although there is a full spread in some of the phase parameters. We can look more closely at this by selecting just the best group(s) and colour-coding by $\\chi^2$..." ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Mask not set for dataType = None.\n" ] }, { "data": { "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Subselect on redchiGroup and colour by redchi value (note this automatically rounds to 7 dp, set hRound = N to control this)\n", "data.paramPlot(dataType='m', sel = 'E', hue = 'redchi')" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Mask not set for dataType = None.\n" ] }, { "data": { "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# As above, but for phase data\n", "data.paramPlot(dataType='p', sel = 'E', hue = 'redchi')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In this case, there are clear sub-groupings by $\\chi^2$. For the phases, these can potentially be cleaned up a bit by setting a reference phase & wrapping the values. " ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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FitParamvalueredchi
02PU_SG_PU_1_1_n1_1-0.8572990.000229
18PU_SG_PU_1_1_n1_1-1.0572870.000229
29PU_SG_PU_1_1_n1_1-1.3039570.000229
311PU_SG_PU_1_1_n1_1-0.8629170.000229
413PU_SG_PU_1_1_n1_1-0.8631540.000229
...............
2089984SU_SG_SU_3_0_0_1-0.7023150.000229
2090987SU_SG_SU_3_0_0_1-0.7045600.000229
2091988SU_SG_SU_3_0_0_1-1.0155550.000229
2092992SU_SG_SU_3_0_0_1-0.7105940.000229
2093997SU_SG_SU_3_0_0_1-0.7082490.000229
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2094 rows × 4 columns

\n", "
" ], "text/plain": [ " Fit Param value redchi\n", "0 2 PU_SG_PU_1_1_n1_1 -0.857299 0.000229\n", "1 8 PU_SG_PU_1_1_n1_1 -1.057287 0.000229\n", "2 9 PU_SG_PU_1_1_n1_1 -1.303957 0.000229\n", "3 11 PU_SG_PU_1_1_n1_1 -0.862917 0.000229\n", "4 13 PU_SG_PU_1_1_n1_1 -0.863154 0.000229\n", "... ... ... ... ...\n", "2089 984 SU_SG_SU_3_0_0_1 -0.702315 0.000229\n", "2090 987 SU_SG_SU_3_0_0_1 -0.704560 0.000229\n", "2091 988 SU_SG_SU_3_0_0_1 -1.015555 0.000229\n", "2092 992 SU_SG_SU_3_0_0_1 -0.710594 0.000229\n", "2093 997 SU_SG_SU_3_0_0_1 -0.708249 0.000229\n", "\n", "[2094 rows x 4 columns]" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Tabulated output from the last plot can be found in self.data['plots']['Data'], and the plot object in self.data['plots']['Plot']\n", "data.data['plots']['paramData']" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Mask not set for dataType = None.\n", "*** Warning: found MultiIndex for DataFrame data.index - checkDims doesn't yet support Pandas MultiIndex.\n" ] }, { "data": {}, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.holoviews_exec.v0+json": "", "text/html": [ "
\n", "\n", "\n", "\n", "\n", "\n", "
\n", "
\n", "" ], "text/plain": [ ":Overlay\n", " .Violin.I :Violin [Param] (value)\n", " .Scatter.I :Scatter [Param] (value,redchiGroup)" ] }, "metadata": { "application/vnd.holoviews_exec.v0+json": { "id": "2035" } }, "output_type": "display_data" } ], "source": [ "# Basic Holoviews support is also working, with a few additional plot options\n", "# data.paramPlot(dataType='p', backend='hv')\n", "data.paramPlot(dataType='p', backend='hv', hvType='violin') # Include violin KDE" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Mask not set for dataType = None.\n" ] }, { "data": {}, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.holoviews_exec.v0+json": "", "text/html": [ "
\n", "\n", "\n", "\n", "\n", "\n", "
\n", "
\n", "" ], "text/plain": [ ":Overlay\n", " .Violin.I :Violin [Param] (value)\n", " .Scatter.I :Scatter [Param] (value,redchi)" ] }, "metadata": { "application/vnd.holoviews_exec.v0+json": { "id": "2304" } }, "output_type": "display_data" } ], "source": [ "# Single group with 'redchi' cmap\n", "data.paramPlot(dataType='p', sel = 'E', hue = 'redchi', backend='hv', hvType='violin')\n", "# data.paramPlot(dataType='p', sel = 'E', backend='hv') # NOTE: this currently doesn't work without Hue set to a numerical category." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Phase shifts & corrections\n", "\n", "To set the phases relative to a speific parameter, and wrap to a specified range, use the `phaseCorrection()` method.\n", "This defaults to using the first parameter as a reference phase, and wraps to $-\\pi:\\pi$. The phase-corrected values are output to a new Type, 'pc'." ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Setting wide-form data self.[fits][dfWide] from self.[fits][dfLong] (as pivot table).\n", "*** Warning: found MultiIndex for DataFrame data.index - checkDims doesn't yet support Pandas MultiIndex.\n", "*** Warning: found MultiIndex for DataFrame data.index - checkDims doesn't yet support Pandas MultiIndex.\n", "Index(es) = ['Fit', 'Type', 'redchiGroup'], cols = value\n", "Set ref param = PU_SG_PU_1_1_n1_1\n" ] }, { "data": { "text/html": [ "
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ParamPU_SG_PU_1_1_n1_1PU_SG_PU_1_n1_1_1PU_SG_PU_3_1_n1_1PU_SG_PU_3_n1_1_1SU_SG_SU_1_0_0_1SU_SG_SU_3_0_0_1
FitTyperedchiGroup
1mQ1.9929721.9215660.4660550.0001002.4614391.556832
pQ-0.861561-0.8610413.1415751.313656-3.032645-0.647618
pcQ0.0000000.000519-2.2800492.175216-2.1710840.213943
2mE1.6098691.6175831.1410431.1436672.6525361.143790
pE-0.857299-0.8610411.1990211.2000582.437037-0.704019
...........................
996pN-0.739526-0.861041-1.4346960.9379201.420065-0.905355
pcN0.000000-0.121515-0.6951701.6774462.159591-0.165829
997mE1.6132121.6141011.1427821.1421062.6525231.143815
pE-0.862937-0.8610411.1959231.1975722.434125-0.708249
pcE0.0000000.0018962.0588602.060509-2.9861240.154688
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1683 rows × 6 columns

\n", "
" ], "text/plain": [ "Param PU_SG_PU_1_1_n1_1 PU_SG_PU_1_n1_1_1 PU_SG_PU_3_1_n1_1 \\\n", "Fit Type redchiGroup \n", "1 m Q 1.992972 1.921566 0.466055 \n", " p Q -0.861561 -0.861041 3.141575 \n", " pc Q 0.000000 0.000519 -2.280049 \n", "2 m E 1.609869 1.617583 1.141043 \n", " p E -0.857299 -0.861041 1.199021 \n", "... ... ... ... \n", "996 p N -0.739526 -0.861041 -1.434696 \n", " pc N 0.000000 -0.121515 -0.695170 \n", "997 m E 1.613212 1.614101 1.142782 \n", " p E -0.862937 -0.861041 1.195923 \n", " pc E 0.000000 0.001896 2.058860 \n", "\n", "Param PU_SG_PU_3_n1_1_1 SU_SG_SU_1_0_0_1 SU_SG_SU_3_0_0_1 \n", "Fit Type redchiGroup \n", "1 m Q 0.000100 2.461439 1.556832 \n", " p Q 1.313656 -3.032645 -0.647618 \n", " pc Q 2.175216 -2.171084 0.213943 \n", "2 m E 1.143667 2.652536 1.143790 \n", " p E 1.200058 2.437037 -0.704019 \n", "... ... ... ... \n", "996 p N 0.937920 1.420065 -0.905355 \n", " pc N 1.677446 2.159591 -0.165829 \n", "997 m E 1.142106 2.652523 1.143815 \n", " p E 1.197572 2.434125 -0.708249 \n", " pc E 2.060509 -2.986124 0.154688 \n", "\n", "[1683 rows x 6 columns]" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Phase correction method\n", "# This defaults to using the first parameter as a reference phase. The phase-corrected values are output to a new Type, 'pc'.\n", "data.phaseCorrection()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can replot the best fits for the phase-corrected case... this looks slightly cleaner, but still shows some +/- pairs and spread in retrieved values." ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Mask not set for dataType = None.\n" ] }, { "data": { "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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IiIiYoEAtIiIiImKCArWIiIiIiAkK1CIiIiIiJihQi4iIiIiYoEAtIiIiImKCArWIiIiIiAkK1CIiIiIiJihQi4iIiIiYoEAtIiIiImKCArWIiIiIiAkK1CIiIiIiJihQi4iIiIiYoEAtIiIiImKCArWIiIiIiAkK1CIiIiIiJihQi4iIiIiYoEAtIiIiImKCArWIiIiIiAkK1CIiIiIiJihQi4iIiIiYoEAtIiIiImKCArWIiIiIiAkK1CIiIiIiJihQi4iIiIiYoEAtIiIiImKCArWIiIiIiAkK1CIiIiIiJihQi4iIiIiYoEAtIiIiImKCArWIiIiIiAkK1CIiIiIiJihQi4iIiIiYoEAtIiIiImKCArWIiIiIiAkK1CIiIiIiJihQi4iIiIiYoEAtIiIiImKCArWIiIiIiAkK1CIiIiIiJihQi4iIiIiYoEAtIiIiImKCArWIiIiIiAkK1CIiIiIiJihQi4iIiIiYoEAtIiIiImKCArWIiIiIiAkK1CIiIiIiJihQi4iIiIiYoEAtIiIiImKCArWIiIiIiAkK1CIiIiIiJihQi4iIiIiYoEAtIiIiImKCArWIiIiIiAkK1CIiIiIiJlTIQP3OO+/QpUsXT5chIiIiIteACheoo6KieOONNzxdhoiIiIhcIypMoDYMg0WLFjFlyhTsdrunyxERERGRa4SXpwtwl+HDh/PLL79w2223ER8fz9mzZz1dkoiIiIhcAyrMDHVMTAz/+Mc/ePfddwkMDPR0OSIiIiJyjagwM9Tr1q3Dx8fH02WIiIiIyDWmwgTqsgrTlSsHlMl1REREROTqUGGWfIiIiIiIeEKFmaEuK4mJGZ4uQURERIDq1YM9XYIIoBlqERERERFTFKhFRERERExQoBYRERERMUGBWkRERETEBAVqERERERETLIZhGJ4u4moSF5fq6RJEREQE7fIh5YdmqEVERERETFCgFhERERExQYFaRERERMQEBWoRERERERMUqEVERERETFCgFhERERExQYFaRERERMQEBWoRERERERMUqEVERERETFCgFhERERExQYFaRERERMQEBWoRERERERMUqEVERERETFCgFhERERExQYFaRERERMQEBWoRERERERMUqEVERERETFCgFhERERExQYFaRERERMQEBWoRERERERMUqEVERERETFCgFhERERExQYFaRERERMQEBWoRERERERMUqEVERERETFCgFhERERExQYFaRERERMQEBWoRERERERO8PF2ASGkz7Hbiv1pBwsovweEw15nFgnfNmoSNjiSgWTP3FCgiIiJXNYthGIani7iaxMWleroEuQzO3FyO//NZck6ecHvf1UeOpnLvPm7vV0RELk316sGeLkEE0JIPqeCSv1tXKmEaIO6z/+DIzCyVvkVEROTqoUAtFVpS1LrS69zpJGVDdOn1LyIiIlcFBWqp0BxppbtExx5/rlT7FxERkfJPgVoqNN86dUu1f7/GTUq1fxERESn/FKilQqtyR/9S69saGEhQ23al1r+IiIhcHRSopUILbNGKKkOGur1fi68vdWY+icVicXvfIiIicnXRtnmXSdvmXZ3sycnE/udj0n/egZGbW3Qjmxc47Hn/nB+UDQMsVvCyYfHywrtqNUJuvY3Qnr2wWPXzqIiIJ2nbPCkvFKgvkwK1iIhI+aBALeWFpthERERERExQoBYRERERMUGBWkRERETEBAVqERERERET3B6oMzIy3N2liIiIiEi5ZTpQG4bBv//9b4YNG0bLli1p3749AIsXL2bWrFmcO6dXM4uIiIhIxeVl5mS73c7kyZP54Ycf8PLyIjAwkOTkZABOnjzJf//7X7Zt28Z//vMfqlSp4paCRcxwGk5ISyD34EaMzFSweWHYc7HYvPCq3xavmnmvEs/IzeBcVgKVfILxtfkQm3gc/3MnqOwdiK12c6z+lTx8JyIiIlJemArU8+fP5/vvv2fs2LE88sgjvP/++/zrX/8CYMaMGQQHB/Pmm2/yzjvvMGvWLLcULHK5ch25vPvTmwScPcztCelkWK2AQajdiWGxEO9tY3uQL0fif6RvQgZV7Q4MLJz09eKHUH/O+HrnvejFMPA2DJrt+oSRVW+i0q33602JIiIiYm7Jx7Jly2jXrh1PPPEE/v7+BcKFl5cXDz/8MJ06deK7774zW6fIFXEaTmZGPUmHw3uplePgneursCXEn7BcJ/4GBDgN6mTbGRyfTtv0XHYH+VEt10lYroOb0rKZcjKJFunZeZ1ZLORarfxSyZ+nsndz4Id3PHtzIiIiUi6YCtQnTpxwrZkuTosWLThz5oyZy4hcsQ+2vkOLtEyO+nvzv+rBGMDAc2lF/offLSmDOB8b34cGuD7zAu6OTcXbWfCFok6rhXeyD+K0F/MacxEREblmmFryUalSJU6dOlVim+PHjxMcrFeDimf8mnKYyNQsPqoVCkC71KwSf4psn5rF6iqB3JaU4Wrn7zRonp7Nz8F+Bdpm2az8ums5rdvcUyq1i4iUpsxsO9v2xRGblEGj2iFUDvLF7jCoXS0QXx+bq53d4WTvsUSOnU0lO8dBgJ834XVDqVczGKuWvYkAJgN1586d+fbbb/ntt99o1qxZoeM///wz69ato1+/fmYuI3LFnECsjxeO37/oB9udJbYPsjtJ8bKRabUQeN6sdHHnHc+Mo7XbqhURKX3ZOXYeffMHsnONize+BGGhfvx9Yie8bHq1hVy7TP3X/8gjj+Dj48OoUaP4xz/+wc6dOwH473//y7PPPktkZCQ+Pj5MmjTJLcWKXA7DMLAakOj9x3/mZ8+bdSnKWR8vvJ0Gvhcs8TjjW/R5tas0Ml+oiEgZiU3MYNIr37stTAOcTcrigZe+Iy1TS+Dk2mUqUNetW5eFCxdSp04dFi9ezA8//IBhGPz5z3/mk08+oUaNGrz33ns0aqTQIWXPYrFgs1g47eOFxcj75rE92I9Ma9G/orQDm0P8aZ2WVeBXN2e9bRzw9ynU3sswaBfepxQqFxEpHU+9/1Op9f3coq2l1rdIeWdqyQdA8+bNWbFiBTt37mTXrl2kpqYSEBBAeHg4N998M1arfgUkntOhdic2n/iRsGw7Z/y8ybZZWXhdCPfFJBdY0pFtsfBZWCWshkG/+DTX53HeNj66LiRv27zzGQYPNL6rrG5DRMS05PQc7A73zUxf6ExCJhlZuQT4eZfaNUTKK9OBOl/r1q1p3VqrSaV8GdiwD/sSD3ImPY4Au4Nsq5Wj/j68UL8aXRPTqZtl54yvFzuDfIjz9qJFWianfbxIt1o55evFET8vsi0WvJxO8lZRW7jOuxIPtX+IKoHVPXx3IiKX7kx8eqlfIyktR4FarkmmAvXatWsvuW2vXr3MXErkigT7BPF4+yl8d3ID22N/IS0nnWpOG/W8/Wl0Y1Ma17mJ9kFVGWTN+1/BMAzshgNvqxdGdjq5p/ZgpMRhrXwdXmGNsfgFefiORESuTOVKfhdvZFJokG+pX0OkPLIYhnHFv/9p2rTpJb8p7rfffrvSy5QrcXGpni5BRETkikx4MQrnlX/bL1HdGoE8Pa5jqfRdnOrVtS2vlA+mZqgffvjhIgN1ZmYmx48fZ/369bRu3Zr777/fzGVERETEDaYNb8Wrn+50e782Czw+up3b+xW5WpgK1FOnTi3x+J49exg9ejSpqZrVFRER8bSWDary0OAbeXv5Hrf1eUuLMMb2b4ZNmxDINczUko9LMXPmTHbv3s2KFStK8zIAnD59mpdeeomNGzeSm5vLzTffzKxZs6hXr57brqElH1e/zGw7DoeTAH9vveVLRK5JyWnZzPjXBhzFvOuqXs1gBnWpR3qGnZAgX+rVDCYksPD2oZ6mJR9SXrhtl4/iVK5cmWPHjpX2ZUhKSiIyMpK0tDQiIyPx9fVl/vz5REREsHz5cqpWrVrqNUj5lWt38um6A3z38ymc530DaXx9CPf1DScn18mqzcc5eCoZb5uVhrUr4edtI9fhpMn1odxYvzK7jyRgsVhoVq8y1UL9PXczIiImhQT5MuiWBiyLPlLomI+3lbF3NKVO9UAALJp5FrmoUp2hTkhI4J577sFisVzWjiBX4rXXXuPtt99myZIltGjRAoD9+/czZMgQ7r//fp544gm3XMcTM9Rr1m5m5ZZTpOCP0+rEYnVitTgJMlJpmJJMLlkcCb2OLKc/Tqc3NqdBJXsWnXP20rRKLOle/vySez3xTj8a1KzC8Ii7y/wePCkjK5dH34x26/6r7cOr8cCdLfSqXRG56jhzcznx4nNkHz1CcV8VL/V3d9aAACrdcitV7uiPV0iomyq8dJqhlvLCVKCeMmVKkZ8bhkFGRga//PILGRkZPPzww8W2dZfevXtTrVo1/vOf/xT4fNy4cRw4cIAffvjBLdcpy0Btdzj525wlxBhVyfvyZlDoy5w1G5w+hT//XUPbWSZXWo23xUm8I5DXU/rS0Ocko0YOo9p118Y+yuNfWFfsNw0z2odXZ/LQlqXQs4hI6TCcTg49OgVnRoZb+/WqWpW6s57CK7SyW/u9GAVqKS9MLflYs2ZNicdDQkIYM2YMkyZNMnOZi0pOTubEiRN079690LHmzZuzYcMGYmNjqVGjRqnW4W6vv/EfYoyav/+piDAN4Cx5z8/DjjA+Te/EvUE/UtWWzgPBUbyS0h/7fz5n+vTJbq+5vJn/5e5SCdMAW/fFkZqZQ3ARryUXESmPEld/6/YwDWCPjyf+qy8Ji7jP7X2LXA1K5cUuFosFb29vqlatWiavHj979iwAYWFhhY7lh+iYmJirKlDn5Do4lH3+T/pX/vDctpwG3O3cgr81l+u9EqluS8XH6c2h3Qdp1PwG88WWY9G7zpZq/99tP8WgLg1K9RoiIu6StGZVqfWd+tMmBWq5ZpkK1LVr13ZXHaakp+e9TtXfv/CDYn5+eW+GynDTT+SVKwe4pZ+LOXwikSzc88YpJzbinJWoa40HoLYtgRRnAL/u2kf7W1u55RrXqrPJmWX234SIiGl2e6l1beRk6euhXLMuK1Dv3bv3ii/UtGnTKz73Ypy/b9tQ0lsby2Km3J1CQ/yw4MTAPXUHWrJd/5xu+OJnyaVmjSpu6ftaVv+6Sp4uQUTkkgU2aUzStu1k+VjI8rVSOdVRbNszVb34rb4fyUE2QtMc3HAim+tjcwu0SQqyEpLmxAIEhYeXcvUi5ddlBeohQ4Zc8qvGL1Sarx4PDMzb2iczM7PQsaysrAJtzEpMdP/as6JYgOut8Zxwmn9w8DprIlVtaQBkOb3Zn3sd7XwP0KlH5zK7H0/x97WSmV3MRqtucGvzmhV+DEWk4vAefg/v1jtGrreVKsl2RnybiO2CL5EZvha+6hrC6Rp/PB9yzDDYGR5AvbPZDN6UjL8fGH6ws2UgZx02Bn2XTM2evcv866EeSpTyoswCdWnKX3oSFxdX6FhsbCxQ9Prq8m74wA688b8D5OJFsQ8l4gBsxfbhhZ37gvJ2OHEasDj9FsK9T1Pn+utLo+Ry55mxHXn87Y2l0nfTuiH4+ZT6Vu4iIm7z0p4PyPLL+54RV8Wbr24Nod9PKfhk//H49jfdQzhd9YKHrS0WMAx8g6BaC/D5vfnIhFTivax81TOIHx3bmIRePy7XpstKAy+88EJp1WFKcHAwdevWZffu3YWO7d69m5o1a1K9+tW3RVzzGxsw08+XeZ9t4hyVwLVfxe9b6NlyCHCk4m11kEwVcHqRH7othkFD5xlGBm0k1JrFkdxqfJPREpstmy5tbuCWnl09dFdlq1qoP0/e145/Ltru1n6b16/MYyPburVPEZHSlJGbSUpOSl44zlfVwvWtDOzJ4HRAXBUvTlwYpn9Xxe7kvjPJeF+wdVJVu5PBKelsPrgdo61RLifeREpbmUyvnThxgjp16pTqNfr168f777/Pnj17uPHGG4G8F7ts2rSJsWPHluq1S1ODhrWYPfMuEz3cC0BV4Fp9/LBR7VDmz+zJ6fg0Zn+8nZSMK38ox2aFgbfUp8/Ndd1YoYhI6YvLPFcwTAO3JmVgs4AtNO/PZyoVHws6JmcWCtP5QhxOmmbkkJGdSqCfni2Ra4/pQL1+/XpWrFhBQkICDoeD/PfEGIaB3W4nKSmJo0ePluoaaoDx48ezbNkyxo8fz7hx47BarSxYsICwsDDGjx9fqteWq8OhUymkZRYM0zabhZsaV2fz3thL6sPhhOXRR4n+JYb/G9WWGnqiXUSuElX9q4BhFAjVtbIKPmToX8IbZWtl5xZ7DKBqrhPvhFNQS4Farj2mAvW3337LtGnTKOlli/7+/vTq1cvMZS5JaGgon3zyCc8//zz/+te/8PHxoUOHDjz++ONUqaLdLK51x8+m8uHXe7nwP1WHw2DPsUTu7xfOVxuPcS457yHWGpX9aXNDNeKTs9i2v/Da/PiUbOav3MvMCK0XFJGrQ5B3ILWy7Zz28wbAmevFWWcglYx0bBaDVKcfASmB+IV6k+VfODyn20redcrfMLAFlO2bEkXKC1OBesGCBdhsNubMmcPNN9/MxIkTadGiBdOmTePgwYPMnj2bI0eOMGPGDHfVW6I6derwr3/9q0yuJVeXqB2nCoXpfGmZuVitFl54qDNn4jOwWi3UrJI38zztjeJfWb//RBIx8elcV9U9O8iIiJS2QTTl3fTTZOzvCLm+zPv9mRx/Sw7ZhjdOrFh+dWINjcO7/h4sPn9suXrS15s2adlF9msATps3ttCaRR4XqehMbXK8f/9+evfuTb9+/ahatSrt2rVj27ZtVK1alY4dO/LBBx/g4+PD22+/7a56Ra5ITHzJWznFxGdgtVioVS3QFaZz7Q5SM0r+FWdCatHfXEREyhu7w8kHuxuSsfs2yPXjj52jLGQavjh/jwQGVhxJYbCnPaHZBrWzchlwLpUm8Va25NQvum+nlYBuE8rkPkTKI1Mz1NnZ2dSrV8/154YNG/Lvf/+bnJwcfHx8CA0NpXfv3mzdutV0oSJmhAYV/dT6H8cLv5XS28tG5WBfEosJzRYgLLTw2zlFRMqjXw/Hk+oofpvVC2XlBNNmf03CvWPYmt2SZdmNsWNlt08dOvseIMSaSbwjiERHIMsy2/FEQDMalmL9IuWZqUBdrVo1EhISXH+uW7cuTqeTAwcO0Lx5cwAqV67M2bNnzVUpYlLXVrXY/FvRDx562ax0al70PuU929Vm6frDRR5r2agq1RSoReQqcSQm5bLP+TqzLV9nFtwidEdOA3bkNCjU9ueDcTTUA4lyjTK15OPmm2/m22+/5ciRI8Afrxdfu3atq8327dsJCQkxcxkR05o3qELv9oVfZmO1WBh7R1MqBRQ9g92vY13ahxfew7x29UDG3tHU7XWKiJSWWqX8vIez9F5KK1LuWYyStui4iP379zNs2DAcDgdz5syhX79+TJ48mfXr13P77bcTHx/P1q1bGTp0KM8995w76/aYuLhUT5cgJuw5msAPv8SQnJbNddUC6dG2NtdXD7roeftPJLF1Xyx2u5Nm9avQrkk1bFZTP4+KiJQpu8PJAy99V2r9PzG6LeF1y3aXD716XMoLU4Ea4JdffuGNN95g7NixdOnShTNnzjBx4kQOHDgAQKtWrZg3bx5Vq1Z1S8GepkAtIiJXq8+jDvL1T8fd3m+wvxevT7vN7f1ejAK1lBemAvXf//537rzzTlq3bl3o2N69e/H19aV+/foV6jWkCtQiInI1W7xqL+t2nHZrn0/d146GtUPd2uelUKCW8sJUoG7atCkWi4U6deowcOBABg0aRIMGhR9UqEgUqEVEpCJYu/U42/bFUTXEj2b1KuMwINjfm3phwew9nsjpc2kcjkkmNcPBybj0EvuacldL2jUp/LxJaVOglvLCVKDeuXMnX375JatWrSI2NhaLxcKNN97InXfeSf/+/alevez/5yptCtQiInKtmfLq92Rk24s9/uiwVrRqVK0MK8qjQC3lhek11ACGYbBlyxa++uorVq9eTUJCAjabjU6dOjFo0CBuv/12AgMrxtvkFKhFRORaM3/lb0T/ElPksUA/L15+uAs+3pe+x7W7KFBLeeGWQH0+h8PBpk2b+Oabb4iKiiI+Ph4/Pz927Njhzst4jAK1iIhca2ITM/jHR9tIyyz89th7+zShZ7vC25KWBQVqKS/cvu+Xw+EgOzub/JxuGAY2W9n/1CoiIiLuUaNyAH++7yY6NKuBzZq30UC9sGAeGtzcY2FapDxxywy13W5nw4YNfP3116xdu5a0tDRsNhu33nord955J71798bHp+RXP18tNEMtIiLXMrvDicNp4OuBJR4X0gy1lBemXj3+448/snLlSlavXk1KSgqGYdCmTRsGDRrEgAEDCA0NdVOZIiIiUh542ax4eT5Li5QrprfNA6hXrx6DBg1i8ODB1KlTx23FlUeaoRYRESkfNEMt5YWpGep7772XO++8k1atWrmrHhERERGRq4rbd/mo6DRDLSIiUj5ohlrKC7fv8iEiIiIici1RoBYRERERMUGBWkRERETEBAVqERERERETFKhFRERERExQoBYRERERMUGBWkRERETEBAVqERERERETFKhFRERERExQoBYRERERMUGBWkRERETEBAVqERERERETFKhFRERERExQoBYRERERMUGBWkRERETEBAVqERERERETFKhFRERERExQoBYRERERMUGBWkRERETEBAVqERERERETFKhFRERErgHh4eHMmTPnktvPnDmTLl26lNjmp59+Ijw8nO+//95seVc1L08XICIiIiJXpxtvvJGPP/6YJk2aeLoUj1KgFhEREZErEhwcTPv27T1dhsdpyYeIiIhIOdSzZ0+ee+45HnzwQVq3bs0DDzxATk4Or7/+Oj179qRFixb07duXDz/8sNC5a9eu5a677qJVq1YMHDiQLVu2FGqTkZHBCy+8QPfu3WndujUDBw5k6dKlhdqtXLmS/v37u6733//+13VMSz7yaIZaREREpJz65JNPGDx4MHPnzsVisTBt2jQ2btzIgw8+yI033shPP/3Eiy++SHx8PI899hgA69ev5+GHH6Znz55MnTqVY8eOMWXKlAL9Op1OJkyYwG+//cakSZNo1qwZ3333HX/+85+x2WwMGTIEgISEBObMmcPUqVOpXLky7777LrNmzaJJkyY0b968rIej3FKgFhERESmnKlWqxNNPP423tzcbN25k3bp1PPfcc9x9990AdOvWDX9/f+bNm0dERAQ1a9Zk7ty5NG7cmLfeeguLxQJA5cqVefzxx139/vDDD2zbto0XX3zRFZ67du3K2bNn+fHHH12fOZ1O5s6dy4033ghA/fr16du3Lxs3blSgPo+WfIiIiIiUU40aNcLb2xuAH3/8EchbCmK3211/3X777TgcDjZu3EhWVha//vorPXv2dIVpgP79+2O1/hH7tm7disVi4Y477ihwvblz5zJ79mzXnwMCAlxhGqBu3boApKSkuP9mr2KaoRYREREpp6pVq+b658TERAA6depUZNuzZ8+SnJyMYRhUqVKlwDFvb+8CnyUmJhIcHIyvr2+J1w8ICCjw5/xQ7nQ6L/0mrgEK1CIiIiJXgeDgYLy9vfnkk08KzD7nq1GjBpUrV8ZqtXLu3LkCx5xOJ8nJyQX6Sk1NJScnBx8fH9fnhw4dIjExUTt3XCYt+RARERG5CnTq1Inc3FwyMjJo2bKl66/ExERmz55NbGwsPj4+tG/fnlWrVmG3213nrl+/ntzcXNefb775ZgzDYM2aNQWuMXv2bJ555pkyu6eKQjPUIiIiIleB2267jVtuuYVp06bx4IMP0rRpUw4dOsQbb7xBzZo1CQ8PB2D69OlERkYyceJEIiIiiI2NZe7cua612ADdu3enXbt2/PWvfyU2NpZGjRrx3Xff8d133/Haa6956A6vXgrUIiIiIlcBi8XCvHnzeOutt1i8eDGxsbFUrVqVAQMG8Mgjj7iWbrRr144PPviAV199lT/96U+EhYXxl7/8hX/84x+uvqxWK++99x6vvfYa77//PqmpqTRs2JA33niDvn37euoWr1oWwzAMTxdxNYmLS/V0CSIiIgJUrx7s6RJEAK2hFhERERExRYFaRERERMQEBWoRERERERMUqEVERERETFCgFhERERExQYFaRERERMQEBWoRERERERMUqEVERERETKiwgXr8+PFMnz7d02WIiIiISAVXIQP1yy+/THR0tKfLEBEREZFrgJenC3CnjIwM/v73v/PFF194uhQRERERuUZUmBnqY8eO0a9fP/773//y0EMPebocERERkVJz+vRppk+fTqdOnbjpppt46KGHOHbs2EXPy8rKYs6cOfTo0YPWrVszbNiwIn+r73A4eO+99+jTpw+tWrVi0KBBrFixosg+lyxZwsCBA2nVqhV9+vRh4cKFGIZRoI1hGCxevJiBAwfSokULbr75Zh5++GEOHTpUqL/o6Gjuvfde2rZtS+vWrRk5ciTr168v1O7QoUNMmjSJdu3a0bFjR6ZOncrBgwdLvP/t27fTtGnTIq9rRoUJ1GfOnKFatWosWrRIa6dFRESkwkpKSiIyMpKNGzcSGRnJ5MmT+fXXX4mIiCA+Pr7Ecx977DHmz59Pr169eOKJJ3A4HDzwwANs3ry5QLsXX3yROXPm0K5dO/785z9TtWpVZsyYwfLlywu0W7hwIU8++SR16tRh1qxZNGvWjOeee4558+YVaDd37lz+/ve/U7NmTWbNmkVkZCRbt25l1KhRHD9+3NVu06ZNTJgwgYSEBKZMmcKjjz5KWloaDz74IN98842r3ZEjRxg5ciQbNmxgxIgRTJ48mWPHjjFixAh27dpV5L2fOHGCadOmFQr77mAxSqNXD8jJycHHx8f15/DwcPr378+rr77q1uvExaW6tT8RERG5MtWrB5dq/0mp2azefIxfD54jM9uOv68XLW+oxu0d6hEa7Fuq1y7Ja6+9xttvv82SJUto0aIFAPv372fIkCHcf//9PPHEE0Wet3HjRsaMGcOsWbMYM2YMkLdc9s477yQkJISlS5cCcPToUe644w4iIiJ46qmngLwZ64iICE6ePElUVBTe3t6kpKTQvXt3OnXqxFtvvYXFYgFg+vTprFu3jqioKKpUqUJsbCw9evSgZ8+evPnmm6569u3bx1133cWAAQOYPXs2AAMGDCA9PZ2VK1cSEBAAQGZmJoMGDcLhcBAVFQXAQw89RFRUFPPnz6dLly6uexkyZAjBwcGue8m3adMm/vSnP7l+4Fi5ciWNGjUy9y/iPBVmDfX5Ybo0Va4cUCbXEREREc/IyXXw3vJdrP7pGA5n3ryjBTCAHfvj+PibvdzesR4TB7fAx9tW5vV9+eWXtGnTxhWmAZo0aUKnTp348ssviw3UK1aswNvbm+HDh7s+CwgI4J577uHVV1/l6NGj1K9fn6+++gqn08m9997ramez2YiIiGDGjBls3ryZLl26sG7dOtLT04mIiHCFaYD77ruPlStXsmbNGoYPH87WrVux2+3cfffdBeoJDw+ncePGbN++HYBz585x8OBBxo0b5wrTAP7+/vTs2ZOFCxcSExND1apViY6Opn379q4wnX8vERERPPfcc+zfv58mTZoA8NJLL/H+++9Tr149OnbsyMqVK69k2EtUrpd8hIeHl/jXI4884ukSRUREpALJyXXw9Hsb+WbjUVeYhrwwnc/hNPhm41Gefm8jObmOMq0vOTmZEydOFAjT+Zo3b05sbCyxsbFFnrtr1y4aNmxYIKzmn5d/PP/vQUFB1K9f/6LtgEK1XNiuR48erFixgptvvrlQTYmJidhseT+UhIaGsmrVKtfs+fkSEhKAvGCfmJhIbm4u4eHhhdrl17xnzx7XZ/v372fChAksW7aMhg0bFjrHHcr1DPWUKVNKPO7OqfpLlZiYUebXFBERkcJKY8nHe8t38euhktch5/v1UDzvLd/Fw/e0dnsdxTl79iwAYWFhhY7VqFEDgJiYGNc/X3huq1atij3v9OnTrnYl9Z/fLjY2Fj8/P0JCQgq08/X1JTQ01NXO39/fNVt8vlWrVnHmzBnXjLmXl1ehEA95z8mtXr2a+vXrU6NGDVJT85bfpqWlFWqblJQE5M1253vrrbdKfSVDuQ7UU6dO9XQJIiIico1ISs1m9U8X3ynjfGs2HyOib9MyW1Odnp4O5IXUC/n5+QF5a4mLO7ek8zIzM13tAgMDL6ld/mcX8vX1dbUryqlTp3jmmWfw9fVl3LhxxbbLyclhxowZZGVlMWnSJACCg4Np1KgR0dHRpKWlERQU5Gq/evVqALKzs12flcWy4HK95ENERESkrKzefKzAMo9LYXcYrN58eSHcDKfTCVBgzfKFrNYri3f55xmGUWT/+Z/lt3M6nVdUR0xMDGPGjCE+Pp6//OUvNGjQoMh2OTk5PPLII2zZsoXBgwczZMgQ17EHH3yQ+Ph4Jk6cyI4dOzhy5AizZ89my5YtQN5sd1lSoBYREREBfj147uKN3HjelcifOS5q9jcrK6tAmwsFBAS42pR0XmBgYJHt8q95sXaQN0NcVB2HDh1ybZX32GOPMWzYsCLPT0tLY+LEiURFRdGzZ0/++c9/Fjg+ePBgZs6cyZ49exg5ciT9+vUjOjqaZ599FqDQMpTSVq6XfIiIiIiUlcxsu2s3j0tl+f28slK7dm0A4uLiCh3LfxixqPXPALVq1bqk82rVquWa6b1Yu8zMzELLLrKzs0lKSiq0jvvXX39lwoQJJCcn8+STTxIZGVlknQkJCUyYMIHdu3fTv39/XnrppSJnnMeOHcuwYcPYt28flSpVonHjxnz//fcA1KlTp8i+S4tmqEVEREQAf1+vywrTkBe+/X3Lbn4yODiYunXrsnv37kLHdu/eTc2aNalevXqR5zZv3pyDBw8WmlXO76tly5audvm7iVysHVDoRSoXtoO8nTbGjRtHamoqzz//fLFhOi0tjfHjx7N7925GjBjByy+/XGSY/u6771izZg1BQUHcdNNNNG7cGIAtW7bg7e1N69Zl96AoVOBAvW/fPre/1EVEREQqrpY3VCvT865Uv3792LZtW6Gt4TZt2sTAgQNLPC8nJ4dPP/3U9VlGRgZLliyhVatW1K1bF4C+fftisVhYtGiRq53D4eDjjz8mLCyM9u3bA9C9e3f8/f0LtANYtGgRfn5+9O7dG8hbKjJ16lRSU1OZM2cOQ4cOLbbGp59+mj179jB69GieffbZYtdhL1++nJkzZ5KcnOz67MSJE3z22WcMHjy4wIx5WdCSDxERERHg9g71+PibvZf1YKKXzcLtHeqVYlWFjR8/nmXLljF+/HjGjRuH1WplwYIFhIWFMX78eCBv27gNGzZQt25d2rZtC0DXrl3p2rUrs2fPJiYmhvr16/PZZ59x5swZXnjhBVf/jRo1YsSIESxcuJD09HRat27NypUr2bFjB6+88gre3t5A3jrlyZMn8/LLLzNlyhS6detGdHQ033zzDTNmzKBy5coAfPbZZxw9epTmzZuTm5tb6PXlfn5+9O3bl71797JixQqCgoJo0aJFoXYAvXr1IigoiLFjx7J69WoiIyMZPnw4GRkZfPTRRwQFBfHoo4+WxrCXqMK8erys6NXjIiIi5UNp7EP91pKdfLPx6CW379e5fpnuQ53vxIkTPP/882zcuBEfHx86dOjA448/7lo7/NNPPxEZGcnQoUMLhOX09HReffVVVq5cSWZmJuHh4UyfPp2OHTsW6N9utzNv3jyWLl1KYmIiDRo0YNKkSfTt27dQLYsWLWLRokXExMRw/fXXExkZyahRo1zHJ0+ezNq1a4u9l2rVqrFhwwY+/PBDnn/++RLv+/xXhm/atInXX3+dffv2ERAQwG233ca0adOKXUMO8OabbzJ37ly3v3pcgfoyKVCLiIiUD6URqPPflHgpL3dp2agqT0/s7JHXj0v5okB9mRSoRUREyofSCNSQF6rfW76LNZuPYXfkxaTzd//wslno3aEeEwe3UJgWQIH6silQi4iIlA+lFajzJaVms3rzMX49eI7MbDv+vl60vKEat3eoV2ZvRpSrgwL1ZVKgFhERKR9KO1CLXKoKu22eiIiIiEhZUKAWERERETFBgVpERERExAQFahERERERExSoRURERERMUKAWERERETFBgVpERERExAQFahERERERExSoRURERERMUKAWERERucqcPn2a6dOn06lTJ2666SYeeughjh07dtHzsrKymDNnDj169KB169YMGzaM6OjoQu0cDgfvvfceffr0oVWrVgwaNIgVK1YU2eeSJUsYOHAgrVq1ok+fPixcuJALX8RtGAaLFy9m4MCBtGjRgptvvpmHH36YQ4cOFeovOjqae++9l7Zt29K6dWtGjhzJ+vXrC7U7dOgQkyZNol27dnTs2JGpU6dy8ODBQu3i4uKYNWsWt956Ky1atKBXr168+uqr5OTkXHS8LpVePX6Z9OpxERGR8uFaffV4UlIS99xzD2lpaURGRuLr68v8+fOxWCwsX76cqlWrFnvuww8/TFRUFKNHj6Zhw4YsWbKEvXv38uGHH9KhQwdXu+eee46FCxcydOhQ2rRpwzfffMPGjRuZPXs2gwcPdrVbuHAhzz33HD179uS2225j06ZNfPPNN0ybNo3Jkye72r355pvMnTuXrl270qNHDxISEli8eDGGYbBkyRLq1q0LwKZNmxgzZgwNGzbk7rvvxmq1snTpUg4ePMhrr71Gv379ADhy5AjDhw8nOzubiIgIatasydKlSzl16hQLFy6kRYsWQN4PEHfddRcnT55k9OjR1KtXj61bt/Lll1/So0cP3n77bbf8O1GgvkwK1CIiIuVDaQdqR3oyKT+vJev4LpzZWVh9/fCr24JKbXphCwwp1WuX5LXXXuPtt99myZIlruC4f/9+hgwZwv33388TTzxR5HkbN25kzJgxzJo1izFjxgCQkZHBnXfeSUhICEuXLgXg6NGj3HHHHURERPDUU08BeTPWERERnDx5kqioKLy9vUlJSaF79+506tSJt956C4vFAsD06dNZt24dUVFRVKlShdjYWHr06EHPnj158803XfXs27ePu+66iwEDBjB79mwABgwYQHp6OitXriQgIACAzMxMBg0ahMPhICoqCoCHHnqIqKgo5s+fT5cuXVz3MmTIEIKDg1338v777/PSSy8xb948evbs6br2nDlzeO+99/jwww/p3Lmz6X8nWvIhIiIich6nPYe4le9w7I2JJH73MZmHd5J9aj+Zh3eS+N3HHHtjInEr38Fpd9+Sgcvx5Zdf0qZNG1eYBmjSpAmdOnXiyy+/LPa8FStW4O3tzfDhw12fBQQEcM8997Br1y6OHj0KwFdffYXT6eTee+91tbPZbERERBAXF8fmzZsBWLduHenp6URERLjCNMB9991HVlYWa9asAWDr1q3Y7XbuvvvuAvWEh4fTuHFjtm/fDsC5c+c4ePAgd9xxhytMA/j7+9OzZ09Onz5NTEwMOTk5REdH0759e1eYzr+XiIgIdu3axf79+4G8Ge/KlSsXCNMAAwcOBHBd2ywFahEREZHfOe05nPn3P0jd8S04HecdOe8X+k4HqTu+5cy//1HmoTo5OZkTJ04UCNP5mjdvTmxsLLGxsUWeu2vXLho2bFggrOafl388/+9BQUHUr1//ou2AQrVc2K5Hjx6sWLGCm2++uVBNiYmJ2Gw2AEJDQ1m1apVr9vx8CQkJQF6wT0xMJDc3l/Dw8ELt8mves2cPAC+88AKLFi0qtj8vL69Cx66EArWIiIjI7+K/XUDW8d2X1Dbr+G7iv11QyhUVdPbsWQDCwsIKHatRowYAMTExxZ5b0nmnT5++rHaxsbH4+fkRElJw+Yuvry+hoaGudv7+/jRp0oTAwMAC7VatWsWZM2dca7e9vLyoX79+oWufOXOG1atXU79+fWrUqOH6gSAtLa1QjUlJSUDebDdAtWrVaNy4caF2H330EUCRIf9KKFCLiIiIkLdmOnXn2ss6J3XnWhzpyaVUUWHp6elAXki9kJ+fH5C3lri4c0s6LzMz09Uu/7MraQd5oTq/XVFOnTrFM888g6+vL+PGjSu2XU5ODjNmzCArK4tJkyYBEBwcTKNGjYiOji4UqlevXg1AdnZ2sX3++9//Jioqik6dOtGuXbti210OBWoRERERIOXntRcs87gETkfeeWXE6XQCFFizfCGr9criXf55hmEU2X/+Z/ntnE7nFdURExPDmDFjiI+P5y9/+QsNGjQosl1OTg6PPPIIW7ZsYfDgwQwZMsR17MEHHyQ+Pp6JEyeyY8cOjhw5wuzZs9myZQtQ/FKO5cuX8+yzz1KjRg1eeOGFYmu/XArUIiIiIkDW8V1let6VyF82UdTsb1ZWVoE2FwoICHC1Kem8wMDAItvlX/Ni7SBvhrioOg4dOsSoUaM4fvw4jz32GMOGDSvy/LS0NCZOnEhUVBQ9e/bkn//8Z4HjgwcPZubMmezZs4eRI0fSr18/oqOjefbZZwEKLUMBWLx4MTNnziQ0NJQPPviA6667rshrXwn3rMQWERERuco5s7MACwUeQLwoy+/nlY3atWsDeS8ruVD+w4hFrX8GqFWr1iWdV6tWLddM78XaZWZmkpaWRlBQkKtddnY2SUlJrjXX+X799VcmTJhAcnIyTz75JJGRkUXWmZCQwIQJE9i9ezf9+/fnpZdeKnLGeezYsQwbNox9+/ZRqVIlGjduzPfffw9AnTp1CrTN3wc7LCyMBQsW0KhRoyKvfaU0Qy0iIiICWH39uLwwDWD8fl7ZCA4Opm7duuzeXfjByd27d1OzZk2qV69e5LnNmzfn4MGDhWaV8/tq2bKlq13+biIXawd/7OZRXDvI2yd73LhxpKam8vzzzxcbptPS0hg/fjy7d+9mxIgRvPzyy0WG6e+++441a9YQFBTETTfd5HrwcMuWLXh7e9O6dWtX23nz5jF37lzq1avHJ5984vYwDQrUIiIiIgD41S28FV1pnnel+vXrx7Zt21xbw0FeYN20aZNrf+XizsvJyeHTTz91fZaRkcGSJUto1aqV622Fffv2xWKxFNhuzuFw8PHHHxMWFkb79u0B6N69O/7+/oW2pVu0aBF+fn707t0byFsqMnXqVFJTU5kzZw5Dhw4ttsann36aPXv2MHr0aJ599tli12EvX76cmTNnkpz8xwOhJ06c4LPPPmPw4MGuGfMNGzbw+uuvU6dOHRYvXsz1119f7LXN0JIPEREREaBSm14kfv+fy3sw0WqjUptepVdUEcaPH8+yZcsYP34848aNw2q1smDBAsLCwhg/fjyQt23chg0bqFu3Lm3btgWga9eudO3aldmzZxMTE0P9+vX57LPPOHPmTIEH9Bo1asSIESNYuHAh6enptG7dmpUrV7Jjxw5eeeUVvL29gbx1ypMnT+bll19mypQpdOvWjejoaL755htmzJhB5cqVAfjss884evQozZs3Jzc3l+XLlxe4Hz8/P/r27cvevXtZsWIFQUFBtGjRolA7gF69ehEUFMTYsWNZvXo1kZGRDB8+nIyMDD766COCgoJ49NFHXe1feuklDMOgR48ebNy4sVB/TZo0oVmzZub+haBXj182vXpcRESkfCiNV4/HrXwn76Uulyi4bR+q93/Q7XVczIkTJ3j++efZuHEjPj4+dOjQgccff9y1dvinn34iMjKSoUOHFgjL6enpvPrqq6xcuZLMzEzCw8OZPn06HTt2LNC/3W5n3rx5LF26lMTERBo0aMCkSZPo27dvoVoWLVrEokWLiImJ4frrrycyMpJRo0a5jk+ePJm1a4vfCaVatWps2LCBDz/8kOeff77E+165cqVrycamTZt4/fXX2bdvHwEBAdx2221MmzbNtcY7JSXlovtMT5w4kRkzZpTY5lIoUF8mBWoREZHyoTQCdf6bEi/l5S5+dZtTc9RTWL183F6HXF20hlpERETkd1YvH2qOeorgtn3AajvvyHn7LVttBLftozAtLpqhvkyaoRYRESkfSmOG+nyO9GRSfl5L1vFdOLOzsPr64Ve3BZXa9MIWWHifY7l2KVBfJgVqERGR8qG0A7XIpdKSDxERERERExSoRURERERMUKAWERERETFBgVpERERExAQFahERERERExSoRURERERMUKAWERERETFBgVpERERExAQFahERERERExSoRURERERMUKAWERERucqcPn2a6dOn06lTJ2666SYeeughjh07dtHzsrKymDNnDj169KB169YMGzaM6OjoQu0cDgfvvfceffr0oVWrVgwaNIgVK1YU2eeSJUsYOHAgrVq1ok+fPixcuBDDMAq0MQyDxYsXM3DgQFq0aMHNN9/Mww8/zKFDhwr1Fx0dzb333kvbtm1p3bo1I0eOZP369YXaHTp0iEmTJtGuXTs6duzI1KlTOXjwYKF2Z86c4bHHHuPWW2+lXbt2jB8/nl9//fWiY3U5LMaFdywliotL9XQJIiIiAlSvHlyq/SdnpbDu8I/sidtPZm42/t6+3Fi9CT0b3kKIX6VSvXZJkpKSuOeee0hLSyMyMhJfX1/mz5+PxWJh+fLlVK1atdhzH374YaKiohg9ejQNGzZkyZIl7N27lw8//JAOHTq42j333HMsXLiQoUOH0qZNG7755hs2btzI7NmzGTx4sKvdwoULee655+jZsye33XYbmzZt4ptvvmHatGlMnjzZ1e7NN99k7ty5dO3alR49epCQkMDixYsxDIMlS5ZQt25dADZt2sSYMWNo2LAhd999N1arlaVLl3Lw4EFee+01+vXrB8CRI0cYPnw42dnZREREULNmTZYuXcqpU6dYuHAhLVq0cI3VXXfdRXp6Ovfffz+BgYF88sknnD59mv/85z80b97cLf9OFKgvkwK1iIhI+VBagTrHkcuHOz4n6vAGHIYTAAuQH5hsFis9GnZhTNth+Ni8S6WGkrz22mu8/fbbLFmyxBUc9+/fz5AhQ7j//vt54oknijxv48aNjBkzhlmzZjFmzBgAMjIyuPPOOwkJCWHp0qUAHD16lDvuuIOIiAieeuopIG/GOiIigpMnTxIVFYW3tzcpKSl0796dTp068dZbb2GxWACYPn0669atIyoqiipVqhAbG0uPHj3o2bMnb775pqueffv2cddddzFgwABmz54NwIABA0hPT2flypUEBAQAkJmZyaBBg3A4HERFRQHw0EMPERUVxfz58+nSpYvrXoYMGUJwcLDrXl555RXeeecdPvvsM1q3bg1AXFwcffr0oXPnzvzrX/9yy78TLfkQERER+V2OI5fn1r/JmkM/uMI0/BGmARyGkzWHfuC59W+S48gt8xq//PJL2rRp4wrTAE2aNKFTp058+eWXxZ63YsUKvL29GT58uOuzgIAA7rnnHnbt2sXRo0cB+Oqrr3A6ndx7772udjabjYiICOLi4ti8eTMA69atIz09nYiICFeYBrjvvvvIyspizZo1AGzduhW73c7dd99doJ7w8HAaN27M9u3bATh37hwHDx7kjjvucIVpAH9/f3r27Mnp06eJiYkhJyeH6Oho2rdv7wrT+fcSERHBrl272L9/PwB2u52uXbu6wjRA9erVadCgAXv37r3ISF86L7f1JCIV2vGUk7y+4x2yHNmm+rFg4eawtgwPH4y/l7+bqhMRcY8Pd3zOnrgDl9R2T9wBPtzxOQ+0H13KVf0hOTmZEydO0L1790LHmjdvzoYNG4iNjaVGjRqFju/atYuGDRsWCKv55+Ufr1+/Prt27SIoKIj69esX265Lly7s2rULoECwv7Dd8OHD6dGjBytWrKB27dqFakpMTMTPzw+A0NBQVq1ahb9/4e8NCQkJQF6wT0xMJDc3l/Dw8ELt8mves2cPTZo04fHHHy/UJj09nRMnThR5/pVSoBaRi3r/10XsiCvmAQ7DAIsFrxwndc9kY/e2caaqF1WT7Ni9LCQF2aiZYMcAYqp747DB5rPb2Xx2O0+0f4S6la4v03vxtNRt0aR9+xGOzJy8KS8L2LPAyAWLDax+YLH6YFj8MLBhtdnB6sBq9cFauRqO1BR8An3x79SP4Ju6XPR6InLpkrNSiDq84bLOiTr8IyNaDCyzNdVnz54FICwsrNCx/BAdExNTZKA+e/YsrVq1Kva806dPu9qV1H9+u9jYWPz8/AgJCSnQztfXl9DQUFc7f39/mjRpUqi/VatWcebMGdeMuZeXV6EQD3kPFa5evZr69etTo0YNUlPzlt+mpaUVapuUlATkzXZfKDk5mX379vH666+Tnp7OQw89VKjNlVKgFpES7U04UHyYBrBYqBGfy9CoJPxy8n4p+ntO5Lf6vjQ4lYNfbt7nmb4WfmoRyM7wvNmR17a/w0u3PY3Naivlu/C8zONHSf/0aRw5EFgVLL8/M+TIgaTDkHve4xleATmENszB5gMZsZB6HHwrZxAamoQ19PdG294j8cf38L/9Efyativr2xGpkNYd/rHAMo9L4TAcrDv8I0Nv7FdKVRWUnp4OUOQsbv5Mb0ZGRrHnlnReZmamq11gYOAltcv/7EK+vr6udkU5deoUzzzzDL6+vowbN67Ydjk5OcyYMYOsrCwmTZoEQHBwMI0aNSI6Opq0tDSCgoJc7VevXg1Adnbh36Y+/PDDbNmyBchbltKxY8dir3u5tIZaREr06b7/XrRNQogXmT5/rJ/L/6dmR7NdYRrAP9ug+7Y0bjyU90U2257F7nj3rWErrwynk4wv8sJ0QHWw/P6V1zAgYT/kpBRsb8+AhL15x4NqQegNUPkGsF4wBeLlC9lRb+BIiS+bGxGp4PbE7S/T866E0/n7Q5LnrVm+kNV6ZfEu/zzDMIrsP/+z/HZOp/OK6oiJiWHMmDHEx8fzl7/8hQYNGhTZLicnh0ceeYQtW7YwePBghgwZ4jr24IMPEh8fz8SJE9mxYwdHjhxh9uzZrsDs5VV4zvj+++9n7ty5jBgxgsWLFzN58uRC2/tdKQVqESlRUmbSRdvYvSyk+1/6LPPNuzPAMPByGJyNvfi+qVe7+M/fwZEN/hfsZJWdlBeei+K0581OA/hVhuK+Z1ltkPzft9xWq8i1LDM3m+LjYdEsv59XVvJnjoua/c3KyirQ5kIBAQGuNiWdFxgYWGS7/GterB3kzRAXVcehQ4cYNWoUx48f57HHHmPYsGFFnp+WlsbEiROJioqiZ8+e/POf/yxwfPDgwcycOZM9e/YwcuRI+vXrR3R0NM8++yxAoWUoALfffju33347zz77LOPHj+f777/n+++/L/L6l0uBWkRKFJz5+0/vF/kpvlKG45L7DE1zEJzhJCjDSWBcysVPuMoZJ7fjzP5jZjpfzkV24cw/XsIEUN7x1ONXXpyIuPh7+3K585XG7+eVlfwH++Li4godi43N+ym8qPXPALVq1bqk8y6nXWZmZqG1zNnZ2SQlJRVax/3rr78yevRozpw5w5NPPskDDzxQZJ0JCQlERkayadMm+vfvz5tvvom3d+HtCceOHcuGDRv45JNP+PLLL/nf//7nWtJSp06dIvvON2DAAAB2795dYrtLpUAtIiXq6awPgE9u8d9map/NoVL65a07tNssNDyVTTOfa+ChRIuVoqa9LgzYl3v8j4aXO6cmIkW5sXrhB+dK87wrERwcTN26dYsMgrt376ZmzZpUr169yHObN2/OwYMHC80q5/fVsmVLV7v83UQu1g5w7fZRXDvI2yd73LhxpKam8vzzzxMZGVlkjWlpaYwfP57du3czYsQIXn755SKXb3z33XesWbOGoKAgbrrpJho3bgzAli1b8Pb2pnXr1hiGwT333MPDDz9c6Pz8tejFrQG/XArUIlKirn3G0GpfBjk+VoLSC89C+2c56bH18l54dLKGN9fF5dDsUCaV2rR1V6nllm+7QXgHwYXb1fpVKfk8/9+PX2yJn7VW65IbiMgl6dnwFmyX/JNsHpvFRs+Gt5RSRUXr168f27ZtY8+ePa7P9u/fz6ZNmxg4cGCJ5+Xk5PDpp5+6PsvIyGDJkiW0atXK9bbCvn37YrFYWLRokaudw+Hg448/JiwsjPbt2wPQvXt3/P39C7QDWLRoEX5+fvTu3RvIWyoydepUUlNTmTNnDkOHDi22xqeffpo9e/YwevRonn322WLXYS9fvpyZM2eSnJzs+uzEiRN89tlnDB48mKCgICwWCzVq1GD9+vWufakhb434Bx98gNVqpVu3bsXWcjm0y4eIlMjm68tAoymNV+/kWE0vvJwWjtT2xbBC3ZgcWu/PJDDz0men7da8L2b9f0ihSq/e2AKKXutXkVTqPpD4HUvIPAeBNf+YUPYOyHtIMaPwb1bxCf4jcGfEQkCNoieiHbkWQgaML73iRa4hIX6V6NGwC2sO/XDJ5/TwwGvIx48fz7Jlyxg/fjzjxo3DarWyYMECwsLCGD8+7+vBuXPn2LBhA3Xr1qVt27yJi65du9K1a1dmz55NTEwM9evX57PPPuPMmTO88MILrv4bNWrEiBEjWLhwIenp6bRu3ZqVK1eyY8cOXnnlFdfyi5CQECZPnszLL7/MlClT6NatG9HR0XzzzTfMmDGDypUrA/DZZ59x9OhRmjdvTm5uLsuXLy9wP35+fvTt25e9e/eyYsUKgoKCaNGiRaF2AL169SIoKIixY8eyevVqIiMjGT58OBkZGXz00UcEBQXx6KOPutrPmjWLzZs3M2bMGO69916Cg4P5+uuv2bZtGw8//DCNGjVyy78TvXr8MunV43KtOvvJYpLXR4Hj0tdKl6TKoCFUGzzELX1dDZwOB/FvPIAjzYF3IHif93NE2ilIPwuGA6ze4F8dgq/Lm9FOP5MXqL0C8nb6sPnmBWvDALvdn5D7/oGtUtXiLyxSgZXGq8fz35R4KS93ubF6Y/7cbapHXj9+4sQJnn/+eTZu3IiPjw8dOnTg8ccfd60d/umnn4iMjGTo0KEFwnJ6ejqvvvoqK1euJDMzk/DwcKZPn15oCzm73c68efNYunQpiYmJNGjQgEmTJtG3b99CtSxatIhFixYRExPD9ddfT2RkJKNGjXIdnzx5MmvXri32XqpVq8aGDRv48MMPef7550u875UrV7pC8KZNm3j99dfZt28fAQEB3HbbbUybNq3QGvIDBw7wyiuvsHnzZnJycmjSpAljxoxh0KBBJV7rcihQXyYFarnWOTIzwOaVt1WSxYLFagWnE0dWJo7MLJwOBzYfb2z+AXlbL1mt5GZlYbFa8fLxxuLtg9VW8fedLo7hdJC1fzN2Ry7kOvP2zPMNwhJcBSMtAZu/P5ZqDfHx9sGek4WRdJacxHhsFifedRqDYYWcLLzC6mEtwwehRMqj0gjUkBeqP9zxOVGHf8Rh5E0iWPjj9eM2i40eDW9hTNthHgnTUv4oUF8mBWoREZHyobQCdb7krBTWHf6RPXH7yczNxt/blxurN6GnB5Z5SPlWoQL1l19+yYIFCzhw4AA2m422bdsybdo0Wrd23wM7CtQiIiLlQ2kHapFLVWF2+fjiiy947LHH8PLyYsaMGUyaNInDhw8TERHBjh07PF2eiIiIiFRQFWKGOjc3l86dO1O/fn0+/fRTbL+vz4yLi6N///40adKEjz/+2C3X0gy1iIhI+aAZaikvKsQM9Z49e0hNTWXo0KGuMA1QvXp1OnTowM8//+y2d7WLiIiIiJyvQuxD3axZM1auXEmVKoXfkpCQkIDVas3bkUBERERExM0qRKD28fEpcmPuX3/9lR07dnDLLe57g1HlygFu60vkanP8TArL1h/gXHI29WpWomGtSuC0Y8HC0bgMMrNyqRrih91uwdfXSlxiBsdiUsjKyMDHP4D6tULo1qYWNzas5ulb8ZjsXAfHTiezdW8siSmZJKTkkJaZS9c21xHk78vKTUc4eDwZA6gUYCO8XlXqXxfM2YRMklKzaFArlKHdGhESrC3zRETKiwqxhrooycnJjBw5kiNHjvDRRx/RoUMHt/Rrt7vnpRYiV5NjMSk8+tr35O3CWvi3PddZEwiwZnPOUYksw5tsfC5o8cd5VhxYrDYi+9/InV0blnbp5UZmtp23v/iF738+8fuGtjaw5YDTCoYXf+xwC3+McXGfOcFmZ0y/1gy+7YYyqF6kfPLyunb3tJfypVzPUIeHh5d4vG/fvrzxxhuFPk9JSWHChAkcPnyYyZMnuy1MAyQmZritL5GrQVpWLo+/tgbwpagwDRBqy6Cp92n+m1H4/zULTozzHtdwYsPiNFix8kecuQ66ta1dSpWXH07D4LlFWzl85hy2sDN41TyCI6429tONz2tV1Nj+/kNI1ZP41N8DVmfeWxLtNuzxtfhoQwJH484Q2bNdmdyHSHmjhxKlvCjXgXrKlCklHi9qmUdsbCwTJkxg3759jB49mmnTppVWeSLXhA++2E4OJS8v+C33eo7aqxd5zMCKH9lkndeHgQV/i51Na6Po1vZet9ZbHu08eI7Dp1PxbrAPr+qncaSGXhCmS+ZMrgGW3eQ/CmLxcuAddgJnaCzRZ+KJcLbGZtVMnYiIp5TrQD116tTLan/ixAnGjBnDyZMnGTduHE888UQpVSZy7Ug4eRQoOiznq2TJIMUo/vmCbAq/mveEoxrjg9aRmXQO/9CKvab65wPnsATH4lX9NACOuOsvrwO7D860UGyVEgt8bPXNhspxfLx9DZHt+7qrXBERuUwVYts8gLNnz3L//fdz8uRJpk2bpjAt4iZWnBdtU9uWcEV9N7DFYd/63ys692riNAxs1WJcfzZy/K6gl6KX21i8c/g1cecVViYiIu5QIQK1YRj86U9/4tSpU8yYMYPJkyd7uiSRCqOWb9pF2/hbcgiwZBd7PNw7ptBnN3idIcCaw7H4LFP1XQ2a1Q/B4pXr+rPF9zKfxfDKwRqUWPQxi4GXb46J6kTkanT69GmmT59Op06duOmmm3jooYc4duzYRc/Lyspizpw59OjRg9atWzNs2DCio6MLtXM4HLz33nv06dOHVq1aMWjQIFasWFFkn0uWLGHgwIG0atWKPn36sHDhwkLv/zAMg8WLFzNw4EBatGjBzTffzMMPP8yhQ4cK9RcdHc29995L27Ztad26NSNHjmT9+vWF2h06dIhJkybRrl07OnbsyNSpUzl48GChdq+88grh4eFF/pWSknLRMbsU5XrJx6Vau3YtW7du5brrrqNGjRosX768UJtBgwZhtVaInx9EylSPdnXZuMFJST9/W4A+/r+wLOPmQse8cNDEK4a9uX88fGjDQX//n0l2+pPiW6sUqi5fOjStyYJtoVD5HABeNU7giKtDcbPOF/KudQiLtfgNmVpWb+aGKkXkQjlJycSuWUvyr7twZGZh8/cjpGULavTuhU9oiMfqSkpKIjIykrS0NCIjI/H19WX+/PlERESwfPlyqlatWuy5jz32GFFRUYwePZqGDRuyZMkSHnjgAT788MMCmzi8+OKLLFy4kKFDh9KmTRu++eYbZsyYgdPpZPDgwa52Cxcu5LnnnqNnz55ERESwadMmnnvuOdLT0wtMcM6dO5e5c+fStWtXRo0aRUJCAosXL2bUqFEsWbKEunXrArBp0yYmTJhAw4YNmTJlClarlaVLl/Lggw/y2muv0a9fPwCOHDnCyJEjyc7OJiIigpo1a7J06VJGjBjBwoULadGiheva+/fvp3bt2kU+V+fv73/l/yLOUyG2zfvnP//JRx99VGKbX375BV9f8/u26tXjcq0xDCdr583mk5T2XBiq/cihk98BBvnvwMviJDqrCWuyWpDoDAKgni2O/v47+CS9C8lGIJA3M93f/2caesXyRXp7eo8cyfW1KvYaaoDPdn9N1KnvsXrlbb1pP1uH3GM3UmKo9s7Cu/YhvGqcKLHvZzrPpJp/4RdbiVR0pbXLhzMnh8PvLyB2zVoMx+/b5Vos8Htksths1Ojdi4YTxmL1uXCb0NL32muv8fbbb7NkyRJXcNy/fz9Dhgzh/vvvL3bZ68aNGxkzZgyzZs1izJgxAGRkZHDnnXcSEhLC0qVLATh69Ch33HEHERERPPXUU0DejHVERAQnT54kKioKb29vUlJS6N69O506deKtt95yvURv+vTprFu3jqioKKpUqUJsbCw9evSgZ8+evPnmm6569u3bx1133cWAAQOYPXs2AAMGDCA9PZ2VK1cSEJD3bE5mZiaDBg3C4XAQFRUFwEMPPURUVBTz58+nS5curnsZMmQIwcHBrnsB6NWrF82bNy9yZzh3qRAz1E8++SRPPvmkp8sQqZAsFiu9HppBs8+eZ+MZf3Zl1yYHLzr77Kep92mqeGVh+32d9a1+++nss594IxhvHPhYctmRXY8Hg9YSasvEgpMAay4OA77OaElspWbXRJgGuLtZH05nH2N/4mEsFvAKO4E19ByOuNo4s/zBsGJ4Z2L1ycGZGgqGDWuV09iqF14uA3nf1y0WiGw2QmFaxI2cOTnsfuYfpOzaXfDAefOPhsPB2VXfknnqFM3/9lSZh+ovv/ySNm3aFJiFbdKkCZ06deLLL78sNlCvWLECb29vhg8f7vosICCAe+65h1dffZWjR49Sv359vvrqK5xOJ/fe+8cuTDabjYiICGbMmMHmzZvp0qUL69atIz09nYiIiAJvpL7vvvtYuXIla9asYfjw4WzduhW73c7dd99doJ7w8HAaN27M9u3bATh37hwHDx5k3LhxrjANebPIPXv2ZOHChcTExFC1alWio6Np3769K0zn30tERATPPfcc+/fvp0mTJmRkZHDq1CkGDRp0haN9aSpEoBaR0mWxelF75F+42+lgaFIMhrcv2Ppw9OAxEuw51Mo6BEknMaw2bGmJ1EiOBasVfEO4NfcMWzNqsT4tBC+LwWlnVY44wqhT1Zc/jWzv6VsrMzarjUfbPcTRlOP87+A3HEo+it03E+v1Bdf73RDSgMOHUsm2JoMDHJm+WH1ywWJgsYDFgCBff9qGteb2ut2p6l/ZQ3ckUjEdfn9B4TBdjJRduzn8/gJumPxgKVf1h+TkZE6cOEH37t0LHWvevDkbNmwgNjaWGjVqFDq+a9cuGjZsWCCs5p+Xf7x+/frs2rWLoKAg6tevX2y7Ll26sGvXLoACwf7CdsOHD6dHjx6sWLGC2rULv3cgMTERP7+8B7VDQ0NZtWpVkcswEhLyHn632WwkJiaSm5tb5PtK8mves2cPTZo04eDBgxiGwQ035L0EKzMzE19fX7cvA1agFpFLZrHasFX5Y8u3G1q1+v2fSg7GPYDmiRls/i2W0FwHg68PpWXDKgVmNK4V9SvV5ZF2DwB5D+mk5KSyL/EgDqeDJpVvwGoP4LHVG0rs46mJHbmuamBZlCtyTclfM305Yteupe7okWW2pvrs2bMAhIWFFTqWH6JjYmKKDNRnz56llevrduHzTp8+7WpXUv/57WJjY/Hz8yMkpOC9+/r6Ehoa6mrn7+9PkyZNCvW3atUqzpw545ox9/LyKhTiAc6cOcPq1aupX78+NWrUIDU1b/ltWlrhh+aTkpKAvNluyFsKA7BhwwbmzJlDTEwMgYGB3HnnnTz++OOFfri4UgrUIlImalQOYOAt9T1dRrlisVgI8a1Eh5p/vOkwMbX43VLyWa/BH0REykKBNdOXyLA7iF2zluvvuauUqiooPT0dKPphuvyZ3oyMoncSSk9PL/G8zMxMV7vAwMI/tBfVLv+zC/n6+rraFeXUqVM888wz+Pr6Mm7cuGLb5eTkMGPGDLKyspg0aRIAwcHBNGrUiOjoaNLS0ggKCnK1X716NQDZ2XlfSw8cOADkzZZPnTqVoKAgvvvuO/79739z6NAhFi5c6JbZagVqEZFypHKwL/VqBnPsTNEPQF9XNYCwKu6ZURGRgpJ/3XXF55VVoHY6855ZKek3fFcaEPPPMwyjyP7zP8tv53Q6r6iOmJgYxowZQ3x8PP/4xz9o0KBBke1ycnJ45JFH2LJlC4MHD2bIkCGuYw8++CCPP/44EydO5PHHHyc0NJTPP/+cLVu2AHmz3QC33HIL/v7+TJw40fVDQt++falcuTIffPABq1evpm9f8y/G0j5yIiLlzF23NSxyFtry+zERKR2OzKy8p30vh8WSd14ZyQ+FRc3+ZmVlFWhzoYCAAFebks4LDAwssl3+NS/WDvJmiIuq49ChQ4waNYrjx4/z2GOPMWzYsCLPT0tLY+LEiURFRdGzZ0/++c9/Fjg+ePBgZs6cyZ49exg5ciT9+vUjOjqaZ599FsC1DKVbt248+uijhWoZPXo0kLdNnztohlpEpJxp2bAq04a14r/fH+bo7zPVdWoEMeTWBrRtUvJr4EXkytn8/Qrs5nFJDCPvvDKS/2BfXFxcoWOxsbFA0eurAWrVqnVJ59WqVcs103uxdpmZmYWWXWRnZ5OUlFRoHfevv/7KhAkTSE5O5sknnyQyMrLIOhMSEpgwYQK7d++mf//+vPTSS64Z5/ONHTuWYcOGsW/fPipVqkTjxo35/vvvAahTp06RfefL36u7uOUxl0uBWkSkHGrZsCotG1YlKS0bw8hbCiIipSukZQuSft55ReeVleDgYOrWrcvu3YV3Itm9ezc1a9akevWif/Bu3rw5//vf/8jKyiqw9jm/r5YtW7rarVmzhhMnThQIpkW1g7z1yZ06dSq2HeQ9HDhu3DjS09N5/vnnGTp0aJE1pqWlMX78ePbs2cOIESN4+umni1w68t1332G32+nduzc33XST6/MtW7bg7e1N69atARg/fjx2u52FCxcWOP/w4cPAxYP3pdKSDxGRciw0yFdhWqSM1OjdC4vNdlnnWLzyXvJSlvr168e2bdvYs2eP67P9+/ezadMmBg4cWOJ5OTk5fPrpp67PMjIyWLJkCa1atXK9rbBv375YLBYWLVrkaudwOPj4448JCwujffu8nZ26d++Ov79/gXYAixYtws/Pj969ewN5S0WmTp1Kamoqc+bMKTZMAzz99NPs2bOH0aNH8+yzzxa7Dnv58uXMnDmT5ORk12cnTpzgs88+Y/Dgwa4Z89DQUDZt2sTWrVtd7ZxOJ3PnzsVms9G/f/9ia7kcmqEWERERAXxCQ6jRuxdnV317yefU6FX2ryEfP348y5YtY/z48YwbNw6r1cqCBQsICwtj/PjxQN62cRs2bKBu3bq0bdsWgK5du9K1a1dmz55NTEwM9evX57PPPuPMmTO88MILrv4bNWrkeoV3eno6rVu3ZuXKlezYsYNXXnkFb29vIG+d8uTJk3n55ZeZMmUK3bp1Izo62vWa8sqV8/bJ/+yzzzh69CjNmzcnNzeX5cuXF7gfPz8/+vbty969e1mxYgVBQUG0aNGiUDvIe+thUFAQY8eOZfXq1URGRjJ8+HAyMjL46KOPCAoK4tFHH3W1f+yxx/jhhx948MEHue+++6hatSqrVq1iy5YtPProozRs6J7nUirEq8fLkl49LiIiUj6UxqvHi31TYhEqtWjukTclQt5s7PPPP8/GjRvx8fGhQ4cOPP74464lDD/99BORkZEMHTq0QFhOT0/n1VdfZeXKlWRmZhIeHs706dPp2LFjgf7tdjvz5s1j6dKlJCYm0qBBAyZNmlTkjhiLFi1i0aJFxMTEcP311xMZGcmoUaNcxydPnszatcXv712tWjU2bNjAhx9+yPPPP1/ifa9cuZJGjRoBeQ8Uvv766+zbt4+AgABuu+02pk2bVmgN+aFDh3j11VfZtGkTOTk53HDDDURGRhbYNcQsBerLpEAtIiJSPpRGoIa8UH34/QXErl2LYf99X2qLxfXAosXLRo1evWg4YaxHwrSUPwrUl0mBWkREpHworUCdL//Nicm/7sKRmYXN34+Qli2o0bvsl3lI+aZAfZkUqEVERMqH0g7UIpdKu3yIiIiIiJigQC0iIiIiYoICtYiIiIiICQrUIiIiIiImKFCLiIiIiJigQC0iIiIiYoICtYiIiIiICQrUIiIiIiImKFCLiIiIiJigQC0iIiIiYoICtYiIiIiICQrUIiIiIiImKFCLiIiIiJigQC0iIiIiYoICtYiIiIiICQrUIiIiIiImKFCLiIiIiJigQC0iIiIiYoICtYiIiIiICQrUIiIiIiImKFCLiIiIiJigQC0iIiIiYoICtYiIiIiICQrUIiIiIiImKFCLiIiIiJigQC0iIiIiYoICtYiIiIiICQrUIiIiIiImKFCLiIiIiJigQC0iIiIiYoICtYiIiIiICQrUIiIiIiImKFCLiIiIiJigQC0iIiIiYoICtYiIiIiICQrUIiIiIiImKFCLiIiIiJigQC0iIiIiYoICtYiIiIiICQrUIiIiIiImKFCLiIiIiJigQC0iIiIiYoICtYiIiIiICQrUIiIiIiImKFCLiEiF4zQM4pIySUrL9nQpInIN8PJ0Ae60bNkyFixYwLFjx6hatSpDhw7lwQcfxNvb29OliYiIm/z9w80cOZNmuh8vG4y5oxm3tLjODVWJyLXMYhiG4eki3GH+/Pm8+OKL9OjRg27duvHbb7/x+eef06dPH15//XW3XScuLtVtfYmIyKVLSMlkxr82ur3faiF+zJ50i9v7ldJXvXqwp0sQASrIDHVaWhqvvvoqXbt25e2333Z9HhgYyPz58/ntt99o1qyZBysUERGzSiNMA5xLzuLTdQcY0bNxqfQvIhVfhVhDffLkSVq0aMHIkSMLfN6hQwcA9u7d64myRETETfYciy/V/ldvOVGq/YtIxVYhZqibNm3Kv//970Kf//bbbwBcd53Wx4mIXM2+3nS8VPt3VojFjyLiKRUiUJ/Pbrdz+vRp1q5dy7/+9S86dOhAx44d3dZ/5coBbutLREQuTZ2wSuw+kliq19DXdxG5UhUuUG/dupX7778fgKpVq/Lkk09isVg8XJWIiJhx/4BmfLPpWKn1X6eGwrSIXLlyvctHeHh4icf79u3LG2+8UeCzY8eOsW/fPhISEnj//feJi4vj3XffddsstXb5EBHxjKfn/8TZ0wn4O7NJ8qnk1r5fm3orlQJ93NqnlD7t8iHlRbkO1G+++WaJxxs1akT//v2LPR4bG0v//v2pX78+S5YscUtNCtQiIp6R9vMOjr01Fy/DwXdV2rA5tDmG1Qb538YsFjAMqmUn0jDzNAcD6lA3M4b9QfXI8PLPa2MYrnYWnLRP2EWzVjfQ/b5BnrsxuWIK1FJelOtA7Q6TJk3ihx9+4JdffsFqNb+piQK1iEjZc+bmcHDKJHA4XJ8ZQJbVF29nLljAiRUfw44BnL/Qz4GVk/7VcWKlenYiTosVBxb8jRz8nLkA1Hniz/g3blKm9yTmKVBLeVEhts1bvnw5Xbp04Zdffil0LD09HW9vb7eEaRER8YykqHUFwjTkhWZ/ZzZeOPEynPgYdtfn57PhpF7mWRpkxhDkzKKSI4PKjnRXmAZI+GZlKd+BiFRkFSJlNmnShHPnzrFw4cICn+/cuZOtW7fSs2dPD1UmIiLukH3saOn2f+pUqfYvIhVbhdjlo1mzZtx3330sWrSIrKwsunbtyvHjx/nkk0+oVq0a//d//+fpEkVExATvsJql2r9XaGip9i8iFVuFWUPtdDpZsGABn332GadOnSIkJIRu3boxbdo0wsLC3HYdraEWESl7zqwsDj4yGZzOUum/1pRpBLVpWyp9S+nRGmopLypMoC4rCtQiIp6RtD6K2EULL97wMgW0as31j0x3e79S+hSopbxQoL5MCtQiIp6TdeIEZxd9SPbRI+Znq318qDH6PkJv7eqe4qTMKVBLeaFAfZkUqEVERMoHBWopLyrELh8iIiIiIp6iQC0iIiIiYoICtYiIiIiICQrUIiIiIiImKFCLiIiIiJigQC0iIiIiYoICtYiIiIiICQrUIiIiIiImKFCLiIiIiJigQC0iIiIiYoICtYiIiIiICQrUIiIiIiImKFCLiIiIiJigQC0iIiIiYoICtYiIiIiICQrUIiIiIiImWAzDMDxdhIiIiIjI1Uoz1CIiIiIiJihQi4iIiIiYoEAtIiIiImKCArWIiIiIiAkK1CIiIiIiJihQi4iIiIiYoEAtIiIiImKCArWIiIiIiAkK1CIiIiIiJihQi4iIiIiYoEAtIiIiImKCArWIiIiIiAkK1CIiIiIiJihQi4iIiIiYoEAtIiIiImKCArWIiIiIiAkK1CIiIiIiJihQX4GkpCRPl3DV0xi6h8bRPI2hiIiYpUB9GZKSknjttdcYO3YsKSkpni7nqqQxdA+No3kaQxERcReLYRiGp4so73Jycvj22295//332bdvH4ZhcMcdd/Dqq696urSrhsbQPTSO5mkM3S8jI4OAgABycnLw8fHxdDlXJY2hyNVNgboEhmGwc+dO5s6dS3R0NCEhIYwfP57AwED+/ve/8+mnn9K6dWtPl1muaQzdQ+NonsbQ/RwOB2vWrGHdunUcOHAAb29vxowZwy233EJISIiny7sqaAxFKgYF6mKcOHGC999/n//9739kZmYybNgwHnjgAerUqcPZs2f585//THx8PMuWLfN0qeWWxtA9NI7maQxLx969e3nsscc4cuQIt99+O2fPnuXMmTPccsstPPfcc54u76qgMRSpIAwpIDU11fjggw+M22+/3WjRooXRr18/47fffivU7rvvvjOaN29ufPHFFx6osnzTGLqHxtE8jWHpcTqdxlNPPWWEh4cbixYtMgzDMLKzs40FCxYYbdu2NZYtW+bhCss/jaFIxaGHEn9nt9tZs2YNY8eOZfbs2RiGQbt27UhPT6dp06audsbvE/pt2rThrrvuYt68eZ4qudzRGLqHxtE8jaH77du3j7/+9a/s2LEDgKysLHbv3g1Ay5YtAfDx8WHAgAH07duXt956y2O1llcaQ5GKS4EaOHnyJGPHjuVPf/oThw4dYsqUKSxdupR//OMfOBwOXnnlFQCcTicWiwXDMAgJCaFly5akpaWxceNGD9+B52kM3UPjaJ7G0P1SU1P5v//7P7744gsSEhKw2+34+/tz/fXXA7Bz505X2+rVq3PrrbeSm5vL+vXrPVVyuaMxFKnYFKjJmxHYsmULvXr1YsmSJUyZMoVKlSpx3XXXMWHCBBYsWMCJEyewWvOGy2KxABAfH096ejoBAQGeLL9c0Bi6h8bRPI2h+23cuJH9+/czbtw4evXqhZeXF3a7nRtuuAGAmJgYsrKyyM3NBaBy5crExcXh7e3tybLLFY2hSMV2zQdqh8NBjRo1WL16Na+++ioNGzZ0HfPy8mLgwIGEh4fz9NNPc/bsWQASExNZu3YtCxYsoHLlylx33XWeKr9c0Bi6h8bRPI2he+UviTl16hQ2m41hw4YBeUtqvLy8qFu3LgDbt2/Hz8/PFf527tyJ3W53/bByLdMYilwbvDxdgKfZbDYA6tSpU+Tx6tWr8+c//5n77ruPBx98kBtvvJGUlBR+/vlnAP72t79Ro0YNdu3aRdWqVa/Jb8YaQ/fQOJqnMXSv/DDndDqpVKkSSUlJ1KlTx/V57969CQkJYefOnfz888+0adOGzZs38/rrr9OtWzc6d+7syfLLBY2hyLXhmp+hvhTt2rVj9uzZ+Pr6snz5cr7//nvat2/PP//5T5o0acK///1vpk6dytSpUz1darmlMXQPjaN5GsNLlz+72rRpU5xOJ4cOHcIwDGw2Gzk5OQQGBtK5c2dsNhvx8fEAdOjQgeHDhzNmzBgAUlJS2L59u6duweM0hiLXBu1DfRnsdjsHDx6kWrVqrqezly1bxvr162nUqBEDBw4kIiKCoKAgT5dabmkM3UPjaJ7G8PIMGzaMkJAQ/va3vxX4DcC4ceP48ccfmT9/PrfcckuBc/bu3cvHH3/M559/ziuvvEL//v3LuuxyRWMoUnFd80s+LoeXlxf16tXjwIEDfP7553z99dd4eXkxZswYBgwYwA033ICvr6+nyyzXNIbuoXE0T2N4aRwOBzabjSeffJKJEyfy7rvv8sQTT2CxWNi6dSu//PILlSpVcgVEp9PJqVOnWL58OZ988gmZmZn06NHjmv7BRGMoUvFphvoyHD9+nJUrV/Kf//yH+Ph4br/9du6++25atWpFcHCwp8u7KmgM3UPjaJ7G8NIZhoHFYmH+/Pl8+umnxMbG0rBhQ2JiYnA4HMycOZOhQ4eSmJjI+vXr+fDDD9m7dy833XQTQ4YM4bbbbiMsLMzTt+FRGkORik2B+hLt3buXF154gU2bNnHTTTcxfPhwOnXqpC9wl0Fj6B4aR/M0hpfH6XRitVpxOp3ExMSwdOlS9u3bR7Vq1Rg6dCht2rRh27ZtvPvuu6xfv5569eoxePBgevfuTZMmTVz95IfKa5HGUKRiU6C+BBs2bOBPf/oTNpuNe++9l759+1K/fn3XjgIXfoHL/8Ipf9AYuofG0TyN4ZU7f2zOH5f33nuPefPm4eXlxYABA7jjjjto06YNPj4+hc671mkMRSomraG+CKfTyYIFC8jOzuaZZ56hV69ehdax5X+RMwwDwzBcXyCzs7O1BhONobtoHM3TGJpzfqCzWCykpqby97//nf/973907NiRESNG0KVLF0JCQoA/QqB+QPmDxlCkYtL/kRdx6tQpoqOjGT9+PIMHDy72oRCHw4HFYsFqtZKens4HH3zAo48+WrbFllMaQ/fQOJqnMXQfi8XC4cOH+eqrr7jtttt46qmn6N+/f6EgmM/pdAJgtVrJycnxSM3ljcZQpOLQDPVFZGdnU7lyZapUqQL88XarfPkzBfm/Ll6zZg0ff/wxGzduBHBt1H8t0xi6h8bRPI2he61ZswaLxcI//vEPatSoARSeUc0f0/wZ1a1bt/LRRx9x6623Mnz4cI/VXl5oDEUqBgXqiwgODiYoKIjExERycnIKrGcDXF/gfv31Vz755BNWrFiB3W6nT58+PPHEE9SuXdtjtZcXGkP30DiapzF0L6vVSo0aNVzjdv5ShAvH9NChQ3z11Vd8+eWXHD9+nMzMTO65555rfumCxlCkYlCgLoHT6SQsLIzOnTvz1Vdf0a1bN1q2bOnaUxTgzJkzfPrpp3z++eecO3eOxo0b8+STT9KpUyeAAm2vRRpD99A4mqcxdL+QkBCsVivHjx+nWrVqWK3WQmvPExISWLVqFcuWLWPnzp3UqVOHF198kQEDBigIojEUqSi0y0cJ8mcK0tPTueOOO2jVqhUTJ06kdevWZGZm8umnn/Lf//6Xffv2ERQUxJ/+9CdGjx4N5M0sOJ3Oa/6br8bQPTSO5mkM3Sd/SUJ6ejo9e/Zk2LBhTJgwgdDQUFebnJwcvv/+e5YtW8a6devw9fVlzJgx3H///QXaXas0hiIViwL1ReTPSK1cuZJ3332XI0eOEB4ezoEDB8jMzMTLy4vRo0fz2GOPuXYAuHBd5rVOY+geGkfzNIbukz+WH374Ie+99x6jRo3i/vvvJzg4mOjoaL755htWr15NcnIyAwYMYPLkyTRq1MjTZZcrGkORikOB+jIcOXKETz75hMOHD+Pn50ejRo0YNmyY63Wx+sZ7cRpD99A4mqcxNOf8HSj++te/smrVKgIDA7FarZw8eRKAdu3aMWXKFG655RZPllpuaQxFKg4F6iuUnp5OYGAgUHArI7l0GkP30DiapzG8MvkzrGlpafzyyy98/PHH2O12goKCGDRoEN27d/d0ieWexlCkYlCgvkwXbqivDfYvn8bQPTSO5mkM3eP8mdYLZ/b1hr9LozEUubopUF+EvsGapzF0D42jeRrD0pc/xtoR5cppDEWuPvrOchH533ztdruHK7l6aQzdQ+NonsbQvYqaj8kfYwXBS6MxFKkYFKgvwRdffMELL7zg6TKuahpD99A4mqcxdB+LxUJWVpany7iqaQxFKgYF6ksQGhrK4sWL2bBhA1D0jMKlcDgc7izrqqIxdA+No3kaQ/eJj4/n6aefZuvWrcCVj+W1TGMoUjEoUF+CLl260Lt3b2bPng1w2Q+HXPhSiGvxG7HG0D00juZpDN0nODiYzMxM/vKXvwCXP5b58ndWuRZpDEUqBgXqS+Dr68uDDz7IsWPH+Pjjj4HLm0WwWCxYrVZ2797NtGnTmDZtGn/96185fPhwaZVc7mgM3UPjaJ7G0H18fHyYMGECZ86cuaKxhIIPimZmZrq9xvJOYyhSMWiXj0vkcDiYM2cOX3zxBatXr6ZSpUqXdF7+F7rly5czc+ZM/P39qV+/PidPnqRy5cqMGTOGUaNGlXL15YPG0D00juZpDN3nSsfyfGlpaXz44Yfs3LkTwzDo0aMHvXv3JiwsrBQqLn80hiJXP81QXyKbzcZ9991HQEAAr7/+OlDyLEL+Qyb5swZr167FMAxmzZrFF198wYoVK+jYsSMvv/wyp0+fLv0bKAc0hu6hcTRPY+g+lzuWF0pKSuJvf/sbc+fO5dChQ2RkZDBnzhyeeOIJYmNjS6vsckVjKFIBGHLJnE6n8fHHHxvNmjUz9u/fX2y7n376yZg/f75x+vRpwzAM4+jRo0bnzp2Njh07Gjk5Oa52+/fvN4YOHWpMmzattEsvNzSG7qFxNE9j6D7nj+W+ffuKbWMYhpGbm1tg3LZv3240b97cGDlypHHmzBnDMAzjq6++MgYPHmxMnjy59IsvJzSGIlc3zVBfBovFwqBBg2jVqlWx227FxcXx5z//mSVLlpCYmAjA9ddfT0BAAElJSa4nuQHq1q1Lt27d2L17NydOnCiTe/A0jaF7aBzN0xi6z/lj+eKLLxbbBuC///0vX331levznTt3Yrfbad++vWt5Qp8+fYiMjOSHH35g27ZtpX8D5YDGUOTqpkB9mYKDg5k8eTIbNmxgzZo1hY6vW7eOkydPMmrUKMLDw4G8Xxe3atUKHx8fjh07hmEYGIaBr68v1apVIyMjg5ycnLK+FY/RGLqHxtE8jaH7BAcHM2nSJDZu3Mi6deuAwssW3nvvPf7yl79w6NAh0tLSALjuuusA2LNnD7m5uQB4eXnRpk0bGjVqxNdff12Gd+FZGkORq5cC9RXo1KkTI0eO5OzZs4WObd++ndDQUEaOHOnaViswMJCaNWuSk5PDgQMHsFgs2O12MjIy2Lp1K7m5ufj5+ZX1bXiUxtA9NI7maQzdp3PnzvTv359Zs2bhdDoLbAGXnZ3NihUrqFu3LgMGDCAoKAjI2xe8WrVqJCUlFZjZb9iwIbm5uWRmZrp+aLkWaAxFrk4K1FfAx8eHJ598koiIiAKfO51OAgICCAoKIj09HfjjFce9e/cGYOXKlaSnp+Pt7c2PP/7I119/zW233Ub16tWvqS92GkP30DiapzF0Hx8fH8aOHUv79u1JSUkpcCwpKYn9+/czfPhwmjZt6vq8Vq1a+Pr6sm/fPteMK8DevXs5e/asK1Re6f7MVxuNocjVSYH6Cnl7ewMFN9O3Wq2u9WsHDhwA8n7tZhgGTZo0ITw8HKfTyb59+wBo2bIlffv2Zfr06fj4+FxzX+w0hu6hcTRPY+g+zZs356233iI0NLTA56mpqVSrVs0V+PLHuk6dOrRt2xa73c6qVasAyMnJ4W9/+xvp6ekMGjQIuLbeIKgxFLn6KFCblL+NVv4XtlGjRpGYmMiGDRtcX/QsFgtOp5OEhARSUlKoXbs2AGFhYTzzzDPUrl37mn7bmsbQPTSO5mkM3efCMahVqxZVqlQhNjaWlJQUrFara71vt27dsFgsnD17luzsbHx8fLjjjjuYPHkyN998M3DlbxC8mmkMRa4eCtRuYrVacTgchISEMGHCBD7//HOWLl3qOr5t2zbS0tJo3bo1QUFB5ObmYhiGawYif30mXLuzCBpD99A4mqcxNO/8MXA4HAQEBDBw4EC+++47fvvtN+CP3wykpaVhGAYOhwNfX18AxowZwwMPPOBqcy2Oo8ZQ5Orh5ekCKpL82a1JkyZx9OhR/vWvf7FmzRpsNhu7d+/G4XAwYMAAAgMDXefs27ePrVu3kpWVRUpKCh06dKBVq1YEBwd76jY8SmPoHhpH8zSG7pM/lg888ABLly7lgw8+wGq1cvPNN3Pu3Dl+/PFHLBYLt9xyC5C3Vt3LywsfHx9XH+fPrhqGcc3NtmoMRco3vXrczRwOBzabjeTkZLZt28bixYux2+2EhIRw99130717dyDvYZHXX3+dqKgoIG8mIv/Xe02bNmXatGn06NHDU7fhURpD99A4mqcxdJ/8gLd582Zefvll9u/fT7t27UhJSeHXX3/lxhtv5OWXX6ZBgwYArqU2ycnJnDx5klq1atGsWTPat2/v4TvxHI2hSPmlQF1Kzv/pPzc31/UrN4B58+bxxhtvYLPZuPXWW+nZsyddunQhJiaGrKwsXnnlFdLT05k0aRJDhgzx0B14nsbQPTSO5mkM3evs2bP85z//Yc+ePaSnp9OxY0emTp3qOv7OO++wePFi4uLigLyHQR0OB15eXowYMYIRI0bQuHFjT5VfLmgMRcoXBeoy4HQ6sVqt5OTkMH/+fF577TUaN27MmDFj6Nu3r2sv0XwnTpzg7bffZv369Xz99dfX/K+LQWPoLhpH8zSG7pWdne1a87t9+3ZeeOEFfvnlF2rVqkXv3r25++67XWuDo6Oj+eSTT6hbty7z5s0rNNbXKo2hSDng7neZS/F+++03o3PnzsagQYOMAwcOuD53OByG0+k0DMNw/X337t1Gnz59jL/+9a8eqbW80hi6h8bRPI2he506dcq49957jfDwcOPxxx83Dh48WGS7r7/+2hgwYIAxa9asMq6w/NMYiniOdvkoQ0uWLCEzM5Pnn3+eG264AcMwsNvtWK1W16+T8//eoEEDunXrxrZt2zh37pwnyy5XNIbu8f/t3WdAU9f7B/BvGAEUkSlOqNoSQEXFOlFc4C6Iq06sVFRwW21/dlm1atXWDVarYoujigKuIigoKlo3KKJWhgIOkCk7JDn/F/xzBSeQCwnm+byS5ELP/fbk3ifnnnsu5ag4ypAf8iUKd+3ahatXr+J///sfVq9ejdatW4Mxxr0vf6hO3759MW7cOBw/fpxbH1zdUYaEKB8V1LVELBYjOjoan376KUQiEYCyk62W1usLrTDGoKenBxMTE7x48QLFxcW13VyVRBnyg3JUHGXIHw0NDWRlZSEkJAT9+/fH+PHjAZTNVRcIBNzqFvJsdXR0YG9vj6ZNm+LEiRNKa7cqoQwJUT4qqGuJUCiEWCxG48aNoaWlxS3GLxaL4e/vj8uXLwMoG2mQrw7w5MkTFBcXv/EkrY4oQ35QjoqjDPl1+/Zt5OXlwdXVlVvmTX7jp1gsfm17GxsblJSUoLCwsFbbqcooQ0KUiwrqWpKfn49mzZohMzMTEomEO9AJBAI8efIECxYs4C4Xa2lpITU1FUFBQbC3t4eBgQEtyA/KkC+Uo+IoQ37Ic9DS0oJYLEbr1q0BvHxC4KNHj7Bjx47XnhiYmZmJwsJCGu0HZUiIqqCCupbo6+ujefPmSE9PR2JiIve6trY2XF1dIZPJsHXrVgBlowlXr16FlpYWPDw8UK9ePVqAH5QhXyhHxVGG/JDnoKGhgcaNG+PevXsAXj4hUENDA35+fti4cSOAl3OFd+zYgdzcXDg4OABQ7ycAUoaEqAYqqGuB/AA2efJk3Lt3D+Hh4Xjx4gWAsoOYtbU1PD09sXv3bqSlpUEoFMLNzQ1+fn6wt7dXZtNVBmXID8pRcZQh/z755BMIhUIkJSVVGDE1NzeHp6cn/P39kZaWBg0NDWRkZCAlJQUdO3ZEr169AIC+oIAyJETZqKCuBRoaGpBKpWjevDkmT56MvXv3Ytu2bQBeXiLOyMhAQUEB1q5dy/1e+/btab7l/6MM+UE5Ko4y5JdMJoOpqSn69euHQ4cO4ebNmwDKvpwIhUKMHj0aTZo0wYYNGwAApqamWLFiBdatW4d69eopseWqgzIkRPno6F5L5N/+v/rqK2RkZMDf3x9JSUmwsrLCjRs3cOXKFTRq1AgDBgxQcktVF2XID8pRcZQh/xYuXIiIiAhs2LABEokEvXr1gkQiQXR0NPT19REUFAR3d3fY2NigYcOGaNiwYYUnWBLKkBBloicl1iL5E9bS09MREhKCNWvWcDeKzJkzB97e3kpuoeqjDPlBOSqOMuSPVCqFpqYmLly4gN9++w0PHz7EqFGjIJPJcOrUKeTm5sLFxQULFiyAkZGRspurkihDQpSLCmolun79Ou7du4fBgwfD2NgYQNnC+3RZuPIoQ35QjoqjDPnx4MED/Pbbbzh79iwAoFevXpgzZw7atWun3IbVIZQhIbWPCmoleNMlNolEAk1NTbr0VkmUIT8oR8VRhvwrLCzEhQsXoKOjA0dHR8qxGihDQmoXFdQqgOawKY4y5AflqDjKkBBC1A+t8lHLyi+vJUcn36qhDPlBOSqOMuTHqw8dIVVHGRKiXFRQ16IHDx5g2LBhuHPnDp10q4ky5AflqDjKkD/yh5Dk5+cruSV1F2VIiHJRQV2LGjduDFNTU6xbt46Xv1dSUoLr168jNTWVl79XF1CG/KAcFUcZ8kcmk+Hnn3+Gu7u7sptSZ1GGhCgXFdS1qEGDBliwYAEuXbqEsLAwAJV/3Gv57RhjePToEQ4ePIjFixdj+vTpNdJeVUQZ8oNyVBxlyB8NDQ04ODjgv//+w+nTpwFU/1HY6npbEGVIiHJRQV3LunTpgmHDhmHt2rWQSCSVvlQs3+758+cICQnBkiVLsHLlSgBAQkIC/vzzzxprs6qhDPlBOSqOMuSPg4MDhgwZgtWrV1cpSzn5I+EFAgEYY3j48CEKCgpqoqkqizIkRHlolQ8luH//PiZOnAhPT09MmzatUqsC5OXl4c6dOwgODsbJkyfRoEEDjBkzBj179sTJkydx4MABXLp0CXp6erW0F8pFGfKDclQcZcif6mRZnkQiwY4dO+Dv7w+JRIJmzZrB09MTzs7OarMeOGVIiHJQQa0EMpkMvr6+2LlzJ8LCwmBmZvbWbcViMRISEhAeHo4jR44gIyMDAwYMgJubG9q2bQt9fX3Ex8dj+vTp6Nq1KzfK9aGjDPlBOSqOMuRPZbOUP6VSTr7CxY8//ojDhw+jd+/eaNu2LS5fvozHjx9j+PDhmDt3bq3sg7JRhoQoCSNKkZ6ezgYMGMC++eabt26TnJzM9u3bx1xdXZlIJGIikYjt3LmT5eXlVdiupKSE7dmzh1lbW7P4+PiabrrKoAz5QTkqjjLkz6tZymSyN24nkUjYs2fPuJ9fvHjBBgwYwHr27Mnu3r3LGCvLcuPGjaxt27ZqlSVlSEjtoznUSmJmZgYvLy8cOXIEN2/eBPDyRpCMjAycPn0ay5cvx/LlyyGRSDBv3jy0b98ekZGR0NfXr7C9UChEz5490aZNG/j6+ipnh5SAMuQH5ag4ypA/8iyDg4MRExPzxukKxcXFWL9+PX799Vc8fPgQAJCUlIRHjx5BS0sL1tbWAMqydHFxQdu2bbFx48ba3A2logwJqX1UUCuRs7MzOnXqhG3btgF4eaPS3r17MWvWLNy9exeTJ0/G6tWrMWXKFMyfPx9Xr17FqVOnAJSdgOUnYUtLS5ibm+Pp06fIyclRyv4oA2XID8pRcZQhf5ydneHg4IAVK1a88f3r169jx44dyMnJgYGBAYCyzCwsLJCfn4+rV69y2zZr1gxt2rTBw4cPkZaWVivtVwWUISG1iwpqJapfvz5+/PFH9OvXD0VFRdwd1vb29nB0dMSqVavg5eWFNm3aQEdHB+3atYOLiwvWrFmDwsJCaGhocCftlJQUxMbGAgAMDQ2VtUu1jjLkB+WoOMqQP/Xr14enpycePHiAyMjICu8xxhAYGAhdXV18++23MDY2BlB2M52lpSVKS0uRnp7Oba+trQ2hUIisrCzUr1+/VvdDmShDQmoXFdRKZmVlhTFjxkBPT4+7QaRXr15Ys2YNevbsyY0cAGUHSA8PDxQUFGDp0qVISEjAixcv8ODBA6xduxbp6elwdnYG8HL5I3VAGfKDclQcZcifzp07Y8mSJdyUGADcihXZ2dlo1aoVWrZsyd1MZ2JighYtWqC4uJibdiOVSnHz5k38888/aN68eYWb8NQBZUhI7aE1cFQEe2VpI/mo1KuvW1lZYcmSJZg7dy7Onz+Pxo0b4+HDhygpKcG4ceMwatQoAFDLgx5lyA/KUXGUoeI0NTXh6upaIS+BQIDi4mLo6+sjLy8Pubm5aNiwISQSCbS0tDB06FDs27cPERERmDt3Lho0aIBr167h2bNn8PT0RL169SCVSrnHdH/oKENCag8V1CribeuEvvo6YwwDBw7E+vXrcerUKcTHx6Nfv36wt7eHs7MzGjRoAMYYjhw5gpSUFMyePbs2mq8SKEN+UI6Kowz58aa8dHV1IRKJEBsbi6SkJHTo0IFbH9nc3BzNmzeHtrY2cnJy0KBBA0yYMAGNGjWCq6srAKhdIUgZElI7aB3qOqb8CJf830VFRdwDIG7duoUtW7bg3LlzaNCgAf755593rourjihDflCOiqMMq0aeUXFxMXr16gU3NzdMnz4dJiYmAIB79+5h+PDhMDMzQ0hICDfVofyIam5uLnx9fTFy5EhYWVkpbV+UhTIkpGbQCHUdU360QX5g1NPTQ1paGn7//XccOHAAQqEQbm5uGDRokFqffN+GMuQH5ag4yrBqBAIBJBIJdHV1MX/+fPj6+qKkpARTp06FiYkJgoODAQCDBw+Gvr4+xGIxhEIhVwgePHgQfn5+SEpKwrNnz9RyGTjKkJCaQQV1HSS/QUlDQwPFxcU4ePAgtm3bhszMTHTt2hVubm5wcnKqcCMKqYgy5AflqDjKsGrkUxPGjx+P/Px87N27F6GhocjPz4dEIkGfPn24qQlCoRAAcOnSJfj6+uLq1avQ1dXlHs2trihDQvhHUz7qmPKXiK9fv45Vq1YhNjYWH3/8MVxdXTFkyBA0a9aM2xZ4+3xOdUUZ8oNyVBxlWD3yx2bLZDKkpqYiIiICQNkqFe3bt4eFhQUA4NGjR9i6dSuOHj0KmUyGPn36wNvbG3Z2dhX+jjqiDAnhFxXUdZBYLMa2bdvg4+MDAwMDuLq6wtXVFW3btuW2eXU1AVIRZcgPylFxlGH1vS2XoqIi+Pv7Y/fu3cjKyoJIJML06dMxZMgQbhsqBMtQhoTwg6Z81EEhISHw9fWFSCTCzJkz0a9fP+4SnvwA9+qNTqQiypAflKPiKMPqK5+FfNm3hIQEbNmyBSEhITAyMsL8+fMxZcoUbuqC/OY6KgTLUIaE8INGqOsQmUyG4uJijB8/HiUlJdi+fTtatGjBvffqwa38yTctLQ2pqano1KlTrbdblVCG/KAcFUcZ1oyff/4Ze/bsQb9+/bB48WIuU1o7ufIoQ0Kqjr5e1iHykaq0tDQ4OjqiRYsWEIvFYIxVOPmWn2tZWFiI8+fPY926dZgwYQJu376trOarBMqQH5Sj4ihD/l26dAl///03RowYAV9fX7Ro0QIymQwymeydhWBmZiaysrJqsaWqizIkpHpoykcdk5GRAVNTU+7AJr8EB7wcwRIIBGCM4c6dOwgLC8PRo0eRnZ2NPn36QEdHR1lNVxmUIT8oR8VRhvwo/zhtiUSCESNGAABKS0uhra391t8rLCxEdHQ0Nm3aBIlEgkOHDtVWk1UOZUiIYqigrmNatGiBRo0a4f79+3j8+DGaNWvGzXuTXw5OSUnBmTNnEBwcjLi4ONjb2+O7775Dt27d0KBBAyXvgfJRhvygHBVHGfJDnlVRURFMTU25199WCJaWliIhIQH79u1DcHAwDAwM0KtXL2RlZcHY2LhW2qxqKENCFEMFdR0in782c+ZMfPHFFzh9+jTGjh3LjVI9f/4cly9fxrFjx3DhwgU0adIE3377LQYOHAhzc3Mlt141UIb8oBwVRxnyRz662q5dO0gkEiQkJKB9+/bQ1tauMB+dMYYnT57g+PHj2LNnD3JyctC3b1+4urqic+fOMDAwUPKeKA9lSIhi6KbEOkZ+0Pvhhx9w8eJFdO/eHaNGjcKNGzdw5coVXL58GRoaGhg9ejRGjx4NS0tLbsUAUoYy5AflqDjKkD/yLOfOnYukpCQsW7YMHTp0AFD25SU7OxsXL17E7t27ERcXh44dO8LNzQ29evVCkyZNlNt4FUEZElJ9VFDXMfKRgvz8fPj5+WHXrl0oKioCUHaTk4uLC8aNGwdra2uaX/kWlCE/KEfFUYb8kWeZlZWFsWPHwtDQEDNmzICenh4ePnyI06dPIyoqChYWFnBxcYGTkxOsra2536clCSlDQhRBBXUdVP6glZCQgMePHyMtLQ29e/dGo0aNlNy6uoEy5AflqDjKkD/yaTTnzp2Dv78/zp8/z73XvHlzODs7o3///rCzs+NuAKUisCLKkJDqoYL6A0NPrlIcZcgPylFxlGH1icViXL16Ff/99x9atGiB1q1bw8zMDPr6+gCoCKwMypCQyqOC+gNCBzfFUYb8oBwVRxnWHMpWcZQhIRVRQU0IIeSDRiP9iqMMCXk3+nTUQWlpabh79y6Al09RI1VDGfKDclQcZVjzqBBUHGVIyLvRJ6QOio2Nxdy5c5GWlkaX3KqJMuQHnzmqazFJGfIrPT0dxcXFym5GnUYZElJ1VFDXQXZ2dpBKpfj111+V3ZQ6izLkB585qusXG8qQP2KxGD4+Pvj222+V3ZQ6i88M6QseUSdUUNdBZmZmmDt3Lo4dO4abN2/y8jelUikvf6euoAz5wVeOeXl58Pf3x5o1axAcHIxnz57x2ErVRhnyRygUom3btvjnn38QHR2t7ObUSXxmqO5f8Ih6oZsS66jCwkLMnj0b+fn5OHDgQLX+hkQiwb1799C2bVueW1c3UIb84CPHu3fvYvbs2cjMzERRURFsbGywaNEi9OjRg+fWqibKkD+FhYWYM2cO8vLyqp2lut+Ax0eGAHD//n1ERkbCyMgI1tbWsLKyogcUkQ8XI3XW1atXWZs2bVhQUBBjjDGZTFbp35VKpeyHH35gIpGIeXt7s9DQUPbixQtWUlJSQ61VTZQhPxTJUe7WrVvsyZMn7Nq1a8zDw4M5OTnx3ErVRhnyh48s09PTWXJyMs8tqzv4yHDLli3Mzs6OiUQi1qFDB7Zw4UKeW0mI6qAR6jpMIpFg+fLlOHPmDMLCwqCrq1up32P/v37ovXv38O+//+Lo0aOIi4uDpaUl9PX14e7uDldX1xpuvWqgDPnxvhzLP2K7Mg+FiIqKwqJFi7BkyRIMHDiwxtuvCihD/lT3cy2XmJiIKVOmQENDAzNmzICDgwOaNm2qVqPWlc3wTX2w/CPMY2Nj0b59e+zZswf79+/HhAkT4OXlVRu7QEitUp+jwwdIS0sLU6ZMgVQqha+vL4DK3QQik8nAGIO1tTW++OILDBo0CIaGhkhOTkZOTo5azb2kDPnxvhzlhciaNWuwf/9+AGXzK2UyGXJycpCenl7h7wkEAhQVFUFTU7OW9kD5KEP+VPdzLdeqVSssXrwYbdu2xZIlSzBmzBiMGTMGs2bNQk5OTg21WrVUNkOBQMC9LpPJuNcAwNjYGI6OjmjYsCG++OILDBkyBMHBwSgsLKylvSCk9lBBXcdZWlpi6tSp8Pf3R3Jy8jtvAmGMQSqVQlNTEwKBALGxsZg1axY2btwIoVCIcePGYffu3Zg+fXot7oHyUYb8eFuO8pPt7t27cfDgQWRmZnKv5eXlYeXKlRg3bhwSExMhkUhQWFiICxcuoKioCMbGxkrbH2WgDPljaWmJL7/8En5+fkhJSan0DXISiQQAMGjQIHz//fcYOnQosrOzERsbi9jY2ArZf+gqk2FcXBy8vLyQnZ3NfekTCAR49OgRgLK+W1paivr163Oj2fKMCfmQ0JSPD0BWVhZGjBiB7t27Y9WqVW/cRl4Eyrf//fffERQUhNLSUvTs2ROTJk1C165dAZQdABljanV5kzLkx7ty/PLLL5Gamor9+/fDyMiIG9kKDw/HggUL0LBhQ7Rp0wbZ2dmIiYnBpEmT8N133ylpT5SHMuRPVlYWpk6diiZNmsDHx+ed25a/EbGwsBDh4eEIDg5GVFQUjI2N8c0336jVNC6592U4Y8YMnD17Fjt27EDPnj0BADdv3oSnpydmzZqFESNGwMDAABkZGZgyZQoEAgEOHToEoVBY27tCSI3SUnYDiOKMjY3x+++/o0GDBq+9Jy8C5YXgnj174Ofnh6dPn6Jdu3YYN24chg8fzm0vP6mo23JHlCE/3pZjZmYmcnNz0bZtW27EVCKRQEtLC5aWlqhXrx46deqE27dvw9zcHLNmzeIyVbcVFyhD/hgbG+PLL7/EV199hbt378LGxua1beTZyPO5fPkygoODERISguLiYnh4eGDevHlcAVj+i7U6eFeG9+7dw9mzZ+Hl5cUV0wBgYWEBZ2dn/PLLLzh58iQ+/vhjhIeHo7CwEL/99hsV0+SDRAX1B8La2vqNr8sP/OfPn4ePjw9iYmLQrFkzzJo1C+PHj4ehoSGAlycJdTzpylGG/HhTjiYmJtDT00NmZiaePn2KJk2aQEur7PDz5MkT5OTkwN3dHR06dOAuB8tPuuqYJ2XIH2dnZ2zevBl6enqvvVf+KlJCQgKOHTvGreHdp08fLF68GJaWlgBe/2KtTt6WYXZ2NnR0dGBnZwcAKC0thba2NkxMTGBpaQkLCwsAwLlz59C4cWO4uLhUKLwJ+ZBQQf2BKy4uxrx58xAVFYV69eph1KhRcHd3xyeffAKgbHRGIBCo5UmisihDxcgLEW9vb0ybNg07duyAl5cXGGO4evUqNm7cCENDQ5iYmEBDQwPa2trcVAZ1HOV/E8qw+oRCIZycnN6Yg0AgQGZmJkJDQ3H48GHcuXMHH3/8cYXpC/T5fnuGhoaGEAgEyMjIgFgshlAo5Eb87969Cw0NDWzfvh3a2tooKCiAqampkvaAkJpHBfUHTldXF/r6+rC1tcWcOXPg4ODAvaeul4GrijJUjKamJhhj6N69Ozw8PHDw4EHs27cPBgYGyM/Ph1AoxPfff8+NBMpP2upeCJZHGSrmbTncunULv/zyC27dugVdXV189913mDRpEgD1vQ/ibV7NkDEGGxsbdOvWDbt27YKuri4+++wzPH36FP/++y/Cw8Ph6OgIHR0dCIVCbnSbjpnkQ0U3JX7A5KNaRUVFEAqF3AiLus0BVARlyA/5SbS0tBSPHj3C0aNHkZqaCnNzc4wfPx4tWrRQdhNVHmXIv/T0dDg6OmLMmDH4+uuvufW96fP9fvKM0tPTMWfOHMTExMDU1BRCoRDp6elo06YNVq9ezX3JI+RDRwW1GpBf9qWTRPVRhvwoPwWBRqqqhzLkh/yznJmZCRMTkwqvkcqR97+0tDScO3cOly5dQk5ODhwcHODg4ABra2uadkTUBhXUhBClkR9+6IRbfZSh4uTzpClDxcjnUROijqigJoTUCvkSb6T6KENSF9CoNFFHdK3wA1ZQUIC9e/eqzVO9agJlyI+UlBRs27aNclQAZUjqCiqmiTqigvoD9uzZMyxfvhx//PEHANCJuBooQ36IxWJs3ryZclQAZciv27dvIywsDABlWV3Xrl1DUFAQAMqQECqoP2AtW7aEl5cXduzYgaysrGqPGqjzgVLRDNU5u/L46osymYznltUdimaoztm9ijGGc+fOYeHChQr1Rzl5tur0eWeM4fTp01i8eDEv5xd1zJB8WKig/oBpaGhg7NixaNiwIdatWwegegcrdb58V90MX71RLCMjA0DZKgLqiK++qM4rWlQ3Q3mhoqGhAcYYHj16BEB9+yJQ9rkcNWoUGjduXK3++OqXE3m/VKdjpUAgwJQpU/DRRx9VK0N5/5Nnpo4Zkg+L+p6d1IS5uTmmT5/OPQWsOgerS5cuYd26dbh9+3YNtFD1VSXDVwvplJQU/Pnnn/D09ERaWppaL8nFR188ffo0FixYgEuXLkEsFtdAK1VbdfqivFC5e/cuVq5cCS8vL2RkZKh1XwTKspw2bVqV+uOrD3tJTExEWFgYtm7diiVLlmD//v1ITEys6aarDHNzc0ydOrVKGcpkMjDGuP5369Yt7N69G0uXLsWMGTOwZcsW3Lp1q6abTgjvaJUPNZCfnw8vLy8AgL+/f5V/PyAgAL6+vsjMzET37t0xatQotGzZEsbGxjA2Nua7uSqpMhmWv7M9JycH//77L/755x/ExMTg+fPnOHPmDMzNzWutzapI0b64d+9e7Nq1C5mZmbC2tsbIkSPRpEkTtGzZEs2aNeO7uSqpMhmWX586LS0NJ0+exNGjR5GWlgaBQICAgAA0bty41tqsqqrSH8t/vlNSUhAcHIzTp0/j/v370NfXR4MGDZCWlobWrVvju+++Q7du3Wq8/aqgKhmW75f379+Hn58fLly4gIyMDJiZmcHc3BwJCQkwMzPD0qVL0b179xpvPyF8oYJaTVy6dAlTp07F2rVrMWTIkEota/Rqgbhu3TqEhoYiNzcXAGBjY8PdkKIO3pZh+ZzEYjGio6Nx4sQJnDhxAqWlpTA1NYWmpibGjBkDR0dHWFlZqfXyZ4r2RcYY1qxZg8DAQK4vtm3bFocOHarxtquKt2VYvmApKirCmTNnEBgYiAsXLkBfXx8ff/wxUlNTMXz4cAwdOhQ2NjZq3ReBqvXHoqIiHDlyBH///Tfu3buHpk2bYurUqejbty/09PSQmJgIX19fpKam4uTJk7W8J8pTlQzz8/Pxxx9/4MCBAygqKoKdnR0mTJiAAQMGgDGG+/fvw8fHB4mJiQgJCanlPSFEAYyoBbFYzBYvXsz69evHSkpK3ru9TCar8HNKSgrbvHkzc3R0ZCKRiC1dupTdvXu3ppqrkt6X4X///cd8fHxY//79mUgkYgsWLGAxMTHsyZMnLDQ0lI0bN46NGDFCCS1XLfIc+/fvX6m+KJVKuX/LZDJ2+/ZttnjxYmZvb89EIhHbuHEjKywsrMkmq5z3ZXj16lX27bffsg4dOjCRSMRWrFjBnj9/zoqLi1lkZCT74osvmKura+03XAXJs+zbt+8bs5T3v8ePH7NffvmFtWvXjnXp0oX9/vvvb/x7J06cYJ07d2aXLl2q0XarkvdlKD+fxMXFsdmzZ7M2bdowNzc3FhAQ8Nq5hjHGDh06xLp06cKio6NrvO2E8IUKajUSHx/POnTowDZs2FDp33n69Ck7ePAg+/zzz5lIJGKff/45i4qKYhKJpAZbqrrelGFpaSnbt28fGzNmDJfR+fPnX/vdiIgI1qZNG3bixAnG2OtfWtRJfHw8s7OzY+vXr3/rNjKZrEJG8fHxbMOGDaxPnz5MJBKxqVOnsqSkJO59deuTb8qwpKSE/frrr9wX32nTprHExMTXfjc0NJTZ2tqy0NBQxph690XGyrLs0qUL27x5M2PszXksX76ciUQiNmPGDPbs2TPu9dLSUsbYy/4XEBDA2rVrx2JiYmqh5aojPj6ede3a9a0ZlpSUsFmzZjGRSMR+/PFHlpGRwb336mf3jz/+YO3bt2fx8fE133BCeKK+1/nUUKtWrTBnzhzExsaiuLgYurq6Fd5n5S7T5efn4/Llyzhy5AgiIiK4OW0uLi7Q09NTRvNVwpsy1NLSQkJCAuLi4rB8+XIMGzaMy6h8pnp6etDW1uZWWVDnu9lbtWqFr776Ck+fPn3j44rLT13IyspCaGgoAgMDcfv2bbRq1Qrbtm1D7969uW0FAoHa3WT3pgyFQiFyc3NRXFyMP/74A7169QJQtqICY4yb2qGlpQUNDQ2kpaUBUO++CJRl+cUXX8DX15db/QN4+fn9888/sWfPHsydO5ebLyyVSqGhoQFNTU1IpVJoamoiNzcXx48fh4WFBZo3b67MXap1rVq1gru7O3x8fDB69GjufhH553PDhg04deoUfvnlFwwfPrzCe5qamtxn/r///sPhw4fRoUMHtbkvgnwglFvPk9pWVFTEkpOT3/q+RCJhN27cYCtWrGBdu3ZldnZ2bPXq1RVGZNRd+Qzll4PFYjFLT0/ntik/OiOVStm9e/fYokWLmEgkYidPnqzdBquokpISlpWV9c73T506xby9vZlIJGIdO3Zkfn5+FbYpPx1EHZXPUJ6FfMSUsbJ+KBaLuZ/FYjG7ePEiGzt2LLO2tmZXr16t3QarsIyMDPb555+znTt3vvbe5MmT2fDhw1lubi6TSCRc1uVHVnNzc9ns2bOZSCRiBw8erLV2q5KMjAw2ffp0FhQUVOF1iUTCPvvsM+bp6ckYK+uj8uzKZxgfH88mTpzI2rVrx06dOlVr7SaEDzRCrWZ0dXXRokWLN7734MEDnD9/HgEBAUhKSoKzszO8vb1hY2NTy61UbeUzlI+iamtrw8zMjBvRko/4paWl4dKlSzh48CBu3LgBNzc3ODk5Ka3tqkQ+ovom165dw8mTJ3HkyBHk5eVhzJgxWLhwIQwMDACAGxFU53WpgYoZyrOQj9TLR621tbUBlH2+w8LCcOTIESQnJ+PLL79Ex44dK1wNUGcmJiZYu3bta6ufpKWlITMzE506darQ/4CXWQcEBGDjxo3IycnBvHnzMHr06NptvIowMTHB0qVLYWpqWuH11NRUFBUVceeS8jfByjPcvn07tmzZAkNDQ6xcuZKOk6TOoYKacHbt2oWgoCC0a9cOPj4+6Nu3L51oq0heSOfl5eHmzZsIDAzE6dOn0bx5cyxfvhyurq4Vpia8Ot2BVWLFC3WwdetWREVFoUePHvj6669hbW0N4GUhrW7TO6pC3n/k/SotLQ2RkZEIDAxEdHQ02rVrh127dqFHjx4Vfi8/Px/6+vrcz+rYF+VflMt/yTA3N4dQKERGRgbS09PRqFEjrv9dvHgRvr6+uH79OiwsLDBjxgxuOoO6kk/1KN9/LC0tUa9ePTx8+BBPnjxB06ZNIRaLuactrl+/HqmpqejcuTMmTZqEPn36KHEPCKkeWjaPcCePa9eu4caNGxg/fnyFEyupPMYYoqOjERYWhqCgIMhkMowbNw4jR45E8+bNK3xBiYyMxMWLF2FnZwdnZ+e3jtaqE3nBfP36dTx9+hTDhg0D8HKupboVeIqQyWQIDQ1FSEgIIiIiYGRkBG9vb4wcOZLra/KiJygoCGfOnEGPHj0waNAgGBoaKrfxKkLeHyMjIzF//ny0b98eXbt2hZaWFsLDw3Hz5k2YmJigd+/emDhxImxtbZXdZJUjz/DcuXNYsGABWrRogY4dOwIArly5gvj4eLRu3RpDhw7FsGHDYGFhoeQWE1I9VFATwrOlS5di//79+OyzzzBx4kTY2Ni8sVi+desWli1bhtjYWFhYWGDAgAH49NNPYWBgAHt7eyW0XDXRlITqW7RoEY4dOwYPDw94eHi8dileLiYmBps2bUJUVBSMjIzg5OSEDh06oHHjxnBwcKjlVqumgIAABAUFISEhAXl5eWjTpg3s7e3Rp0+fCg8gof76dvKbix88eIC8vDx8+umn6N69Ozp37lxhaqE6Xh0hdR8V1ITwRH4iTU9PR0xMDLp37/7ekf7S0lIEBgbi0KFD3KPdra2tceDAAejo6NRGs8kHSN4XMzMzkZ6e/tb7IF4tXA4cOICAgADExsYCANq3bw9/f3+1vnpSvkAWi8V4+PAhTE1NoaWlhXr16nHzgeUjseR15fuZVCpFZmYmDAwMoKurW+E9+jJC6jKaQ03oIMYTeYaNGjWCs7Pze7eXSqXIyspCRkYGHj58iKZNm2LIkCFwcHBQ29EZ6ov8kGdoYmICExOTt25XfpnM+Ph43L59Gw8ePECrVq0wYcIE9OrVS62LaeBllowxCIVCWFlZVXhfXhBSMf125Y9nmpqaaNSoEYCXn3d5hvTZJ3UZjVATAEBBQQHq16+v7GaojZycHERGRmLnzp2Ij49H7969MXLkSNjb28PY2FjZzVOqvLw8NGjQQNnN+GCVHxGUSCR4+PAhwsLCcPDgQeTk5GD48OEYM2YMWrVq9dpa9eqGph4ojr4kE3VBBTXBs2fPsHDhQsycORPdu3enk0gNKi4uRnR0NPz8/BAZGQlbW1uMGzcOPXr0qPAQA3X9f5CSkgJ3d3csW7YMvXr1UtscasKrWT579gxRUVHYv38/7ty5A0dHR0yePBl2dnZ0U/IrsrOzYWRkpOxm1GnPnz+vsLQoIR8aKqgJxGIxFi5ciMTERBw/flzZzfkgSSQSJCUlYf/+/QgMDETDhg0xevRoODs7o3Xr1tw8THU/2ZSUlOCrr75CcnIyjh49quzmfJByc3MRHR2NgwcP4uzZs2jdujWmTJkCR0fHd04PUUeMMRw5cgSnT5/Gli1blN2cOokxBj8/P4SHh2Pv3r3Kbg4hNYauwxAIhUJ4enri8ePH3AGPvmfx5+nTp/jrr7/g6emJoKAgDB06FGvXroWHhwdEIlGFhxyoczENADo6Opg+fTpSUlKwZ88eAIr1RerHLzHGcOPGDWzevBmLFi1CdHQ0vLy8sGXLFri4uFAx/QYCgQBWVlY4e/Ys/P39AVS/T8lkMj6bVmcIBAJ07twZt2/frvZnmj7HpC6ggpoAADf1YNOmTXjx4kW1Crt79+7VQMvqvr///htr1qyBSCTCL7/8ggULFqBLly6oV6+espumkuR9cfPmzdXqizk5OTh79iwA+oJSnkAgQEhICPbs2YOBAwdi69at8PT0hIWFBd1Q9w4ikQju7u7w8fGpUn98tQjU0NDAixcvkJqaihcvXtREU1WWra0tJk6cWOXPtPxLiEAggFQqRUFBAZ4/f45bt24hLS1Nbb+kENVEUz4I58mTJ5gwYQL69euHH374odLTD9LS0vDXX39h586d+O233zB06NBaaK3qk+eXlZWFkJAQ9OrVq8JDC9R9ese7VKcvlpSUIDY2FoGBgTh8+DB8fX3Rr1+/WmqxapPfGJaTk4Po6Gh06tSJbvysguoeG4Gy+wJu3bqF06dP48KFC9DU1ISOjg4+//xzjBs3Tm3mZlclw1ffi42NxcWLF3H+/HncvHkTGhoa0NXVhZubG6ZPn672N3IT1UAFNeEwxvD3339j+fLlCAoKgkgkeuf2xcXFOHDgAHbs2IHnz5/DwsIC3333HRwcHKClpUV3d+PliaF8FlRIv19V+qJUKsWjR48QEBCAwMBA5ObmwtLSEitWrICdnR2EQiH1RaKQqh4bASAjIwMXLlzAkSNHcPnyZTRt2hTdunVDo0aNkJqaiqioKHTu3BkbNmyo+R1QAdXJ8NGjRzhx4gSOHTuGpKQk2NrawtnZGcbGxnjw4AHCwsLQvn17bN68uRb2gJB3o4KaVJCXl4dp06ZBT08Pu3bteut2Z86cwaZNm3D37l188sknaNmyJXJzc5GTkwNnZ2fMmjWLihiiEHlfrFevHnbu3PnGbTIyMhAaGgo/Pz+kpaWhR48eaN68OZ49e4ZHjx6hd+/eWLRoEfVForDKHBvl/Sw+Ph5//fUXgoODYWhoiClTpsDJyQlGRkbcCioBAQH4+eef4e/vDzs7u9rcFaWpTIaMMchkMly+fBm7du3ChQsXYGlpiXnz5sHJyQkaGhrcFKWAgACsWLECe/bsQdu2bWtzVwh5HSPkFWfPnmU2Njbs1KlTjDHGZDIZ9979+/fZzJkzmUgkYgMGDGC///47u3//PmOMsZKSEubn58fatGnDoqOjGWOMSSSS2t8B8sGIjIxk1tbWr/XFvLw8FhERwcaPH89EIhGbOHEiO3r0KHvy5AljrKzf+fv7M1tbWxYTE8MYY0wqlSpnJ8gH4+zZs2/sj+UlJyezzz//nLVp04YtW7aM65Ny8n547do11rVrV3bo0KGab7gKqUyGV65cYQMGDGB2dnbs999/f+19eYbnz59nnTt3ZqGhoTXbaEIqgYZsyGu6d++OoUOHYuXKlZDJZNz0hH379sHFxQU3b97ExIkTsXLlSnh6enJPDhMKhejbty8aNWqEffv2AYDa3+z06NEjZTehTuvWrRuGDh2KjRs3VuiLf/31F7y8vJCbm4tvvvkGy5Ytw7Bhw9CkSRMAZf2ue/fuMDExweHDhwFA7Ueo79y5Q6slKEh+bFy3bh2kUulrU7eSk5MxdepUPHv2DGvWrME333zD9UmgbHqS3JMnT5CTk4OWLVvWWvtVgTzDtWvXvjHDW7duwcvLC/r6+vD398f06dMBvLxBsXyGsbGxEIvFaNWqVe3tACFvod5nGPJGQqEQ06ZNg6OjIwoKCrgDWceOHdGzZ0/89NNPmDdvHjp16gQNDQ1IJBKUlpYCKLtcl5aWBh0dHUgkEmXuhtLl5uZi06ZN+PPPPwHQ0k/VIRQK4e3tjcGDB6OoqIjri/3798fYsWOxYsUKjB8/Hi1btoRAIABjjMs5PT0d6enpMDQ0VOIeqIasrCysXr0au3fvBkB9sbrkx8bExET4+vq+9n54eDgePXqEuXPnwsnJiXtsO/v/aQyamprQ0NDAzZs3sXr1anTs2BFWVlZq9f9Dvkzrs2fPuGNjeSEhIZBKpfjqq68qTOOQ34siz/DMmTPw9fWFg4MDmjVrplYZEtVEc6hJpbD/v5EuNzcXDRs2BFA2YiCVSqGtrQ0AuH//Pn7++WdcvXoVGzduxMCBA5XZZKWTyWTYuHEjdu7cicjISFrnlyfyvlhUVAQ9Pb3X3pfJZIiMjMSGDRvw8OFD/PHHH+jSpYsSWqo65H1x9+7diIiIoL6oAJlMBn9/f7Rs2RKOjo7c61KpFN7e3sjMzMShQ4e4bRlj3JW63NxcBAcHY9euXdDS0sLq1avx6aefKmU/lEkmkyE4OBgWFhYV9r+wsBBTp06Fnp4ed99E+S8jQNkTF3fu3MnNm16/fn2FqwCEKAuNUJN3Kr8OKACumBaLxdDQ0IC2tjby8/OxdOlSuLq64v79+5gxYwb69OkD4OVImDp+b9PQ0MCECRPQvHlz/PbbbwDoISWKeLUvyovp8rncu3cP8+fPh5eXF0pLS/H999+rfTENvOyLjRs35qUvqjMNDQ1Mnjy5QjENlBXUubm5MDc3R35+PretpqYm9yXvxx9/xKpVq6CpqYn//e9/allMA2W5jBgx4rX919TUREFBAYyMjLgMBQIBNDU1IZFIcOjQIXh7e8Pf3x/29vZYuHAhFdNEZWi9fxOizt4271R+KXPPnj3YuHEj8vLy0KdPH4wcORK9e/fm3hcIBBCLxSgtLUX9+vUBlJ141GVudaNGjTBt2jR8++23GDt2bLXv5lfnDOXe1hcFAgEyMjLw119/wd/fH0KhEBMnTsTgwYPRvn17brvi4mLk5ORAT0+P+2IokUigqampFssYNmrUCNOnT1eoL6p7huWxcstfymQy7h6SP//8ExEREejTpw8MDAwQGRmJkJAQnDlzBrm5uXBxccF3333H5cdoGU0AZRnq6Ohg8ODB+PPPP3Hs2DH07t0bBgYGCA8Px8GDBxEXFwehUAgPDw9Mnz6dWzGFEFVAUz5ItVy7dg2LFi3C06dPYWtri5EjR2LgwIEwNTUF8HL068GDB5g5cybq1auH2bNno1OnTjAyMlKrk0hBQQFmzpwJsVjM3axZFf/995/aZ/guISEh+Omnn1BUVITevXvD1dUVXbt25R5cIs/p5s2b+OqrrwAA06ZNQ+/evdGkSRO1+nKiaF+kDN+s/Gdx2rRpuHHjBoyMjFBcXIzMzEzo6Oigffv2+Oqrr9CuXTsA6vml+F3KZzhnzhxERUVBW1sbRUVFKCkp4dbx9vDwwMcffwwAtBwmUSlUUJNqCQ8Px4IFCzBlyhQMGzaMO8DJu1P5Qm/Lli2IiIhAamoqjIyM0Lp1a3z00Uf4+uuvldJ2Zbh8+TI8PDywevVqDBs2rMrFMGX4dmfOnMHq1avh4eGBXr16VbgE/GrO+/fvxz///IOkpCSUlpbC0tISH330EdasWaOMpiuFon2RMnwzeYH8/Plz3Lx5E2FhYTAyMoKZmRk6dOjATT2ST12iQvB18gyzs7Nx//59XLx4EQYGBmjatClatmwJGxsbAOBuPqYMiSqhgppU271792Btbc39/OpogVgs5qZ+ZGZmYv78+bh27RpkMhksLCywZcsWbsm9D11paSmWLl2KqKgohIaGcrm8D2VYOampqWjevDn386tFYvkcc3Nz4e3tjRs3bsDY2Bg2NjZYsmQJWrRoUevtVgY++qK6Z1hdNCqtOMqQqCoqqInCXi2k5esFywuaM2fOYNu2bYiLi0PTpk0xYsQIjBkzRu2WM0tMTMSkSZMwbtw4zJo1650jg5Rh9bya6aujgUeOHMHatWuRkZGB7t27Y9iwYRg4cKDazcWsal8EKMPqkB8baXpW9VGGpK6ggprw5tXljeLj47FlyxaEh4ejXr16GDhwICZNmoRPPvkEgPqNNDDG4Ovri82bN+P8+fMwMzN74zaUoeJezfH27dv4+eefERMTA0tLS4wcORJDhw5Fs2bNAKjfXEzGGHx8fLBlyxZcuHCBu/fh1W0oQ1LbqHAmdRUV1IQX5Qu7vLw8bNu2DQEBASgsLESPHj3g7u4OBwcHAOo9/y0rKwsREREYOnToa2soU4b8kEgk0NIqW8AoOzsbq1atwtGjR9GgQQO4uLjAzc2twgMj1PUEnp2djevXr8PJyem19yjDqktJSUFiYiJ69+6t7KbUWbdu3UJCQgLc3NyU3RRCqowKasKrgIAA7NixA8nJybCxscG4ceMwYsQIrlCkEdX3owz5sX37dmzatAkSiQROTk4YNWoUHB0duS8hNKL6fpRh5V27dg2TJ0/Gjh070L17d2U3p066ePEipk6dil27dqFbt27Kbg4hVUIFNeHFrVu38NNPP+HBgwcwNTXF8OHDMWHCBO5SMhWB70cZ8uPSpUuYPXs28vPzYWdnh1GjRmHQoEEwMDAAQEVgZVCGVVdUVITZs2cjNzcXAQEB1f476jzaX1RUhDlz5iA7O5t72iQhdQU92IXwori4GHFxcXBzc4O7uzu3vJH85joqBN+PMuSH/Ca6WbNmwcXFBRYWFgBeLulIheD7UYZVp6enh1mzZmHSpEkICAjA6NGjq1wcv/qlufzUG3Wgp6eHmTNnKpThq9QtQ6I8NEJNFCY/4N26davC09doFKvyKEN+JSYmolWrVtzPlGPVUYZVJ5FI8MsvvyAkJARhYWHck02rorCwEMePH8fgwYO5hxOpEz4yfPDgAc6ePYuRI0fC2Ni4BlpJyOuooCa8o6kJiqMM+UFFoOIow6pJSUnB+PHjMWzYMHzzzTdVHmFdvHgxgoKC0KpVKwwcOBBDhw6Fjo4OGjduDG1t7RpsuepQNMOlS5di//79MDU1Rf/+/TFo0CDUr18fVlZW0NXVrcGWE3VGBTUhhBDCE8YY/P39sWbNGhw7dgwtW7as1O/Jv7jk5OQgJSUFvr6+OHPmDLS0tKCtrQ03Nzf8+OOPNdx61aBohvn5+cjOzsaOHTtw4MABAIC2tjamTJmCBQsW1GTTiRqjYQdCCCGEJwKBAC4uLhCJRFi9enWlf08+tmVoaAhbW1t8/PHHaNKkCSQSCUQiEXr06FFTTVY55TOsyiPt5Rnq6+vDyMgIJSUlaNiwIRo2bAhnZ2e1ypDUPhqhJgpLTk5GSUkJPvnkE7W+Q10RlKHipFIprly5AkNDQ9jY2FCO1UAZ8iciIgLe3t7w9fVFv3793rpd+Sk1MpkMR48excGDB3Hjxg2Ym5tj2rRpmDBhQm01W6WcOXMGXl5e8PHxQf/+/d+6XfkpclKpFH5+fvD390d6ejrs7e0xfvx4DB06tLaaTdQU3fpKFCKVSrF161acP38eFy5coJNvNVCG/GCMISgoCP/++y/OnTtHOVYDZcgfBwcH9O3bF+Hh4W8sqOWr98iL6cuXL2Pv3r1c7u7u7pg5cyYaNmzIba9uc9l79OiBPn364N9//31jQf3qCkinTp3C1q1bERcXh48++ggLFy7E559/Dn19/dpuOlFDNEJNFHb79m1MmTIFc+fOxaRJk2hUqxooQ37Exsbiiy++UChHdc+eMuRPVlYWxGIxGjduXOH18sVxUlIS9u/fj3/++QcZGRno06cP5s2bB2tr69e2VUf5+fmoX7/+a/2p/Kh0XFwcfHx8EBkZCQMDAwwZMgSTJk2CpaWlMppM1BQV1ERhUqkU69evx8GDBxEWFgZDQ0OF/6a6nZApQ37UVI4A1CZLyrB2vHjxAkFBQQgICEB8fDysrKwwe/ZsODs7A6DMKiMzMxM7duzAoUOHIBaL0bNnT7i7u6Nr167KbhpRQ+r7tZfwRlNTExMmTIC+vj7Wr18P4OXJoCpCQkIQEREBQP1OIpQhP/jKce/evdyT2gQCgVplSRnWPLFYjDlz5mDVqlXIzc3FwoULcfToUa6Ylk9loMzerqSkBGPHjoWfnx9at26NpUuXwsfHh4ppojQ0Qk14wRjDgQMHsGzZMgQGBnKXKyvr+fPnmD17NmJiYtCvXz8MGzYMbdu2hbm5OYRCYQ21WrVQhvxQNMe0tDRMnToVDx48QJcuXTBo0CDY2dnBzMwM5ubmNdRq1UIZ1hz5FI7t27cjLi4O33//PUxNTSu8R95NntPevXvx5MkTeHp68nIlhRBFUEFNeJOfn49p06ZBKBRi9+7dlf49+Vy4p0+fIiIiAj4+PsjKygJQ9ohjf39/dOrUqYZarVooQ34ommNeXh4uXLiAtWvX4smTJ9z7+/fvR8eOHWugxaqHMqwZb5qKRYV01ajjdDai+ugTTHijr68Pb29vXLlyBadOnQLw/kvFjDHuxhIzMzN06tQJvXv3BgAYGRlh0qRJFR5//KGjDPlRnRxlMhmXo46ODgwMDNC6dWsAgKmpKRYtWqRWhSBlWDNeLQQZY1RMVxEV00QV0Qg14ZVYLMYPP/yAS5cuISIiAlpab16Z8dURhoSEBISHh+Pw4cN49OgRBg4cCC8vrypfav4QUIb8kOcYFRWFs2fPVjrHmzdvIjg4GMeOHUNhYSHGjh2LhQsXquXSW5QhIYRUDq1DTXglFArh4eGBO3fuICoqihspfZX85Jueno6oqCgEBgbi6tWraNOmDbZu3YrevXur7agNZcgPeY6JiYmIiYl5bcrLq6soPHr0CMePH0dwcDBSUlLQvXt3LF68GFZWVgDU87I8ZUgIIZVDI9SEd4wx3Lt3DyYmJmjUqNEbtykoKMC1a9dw7NgxhIWFwcDAANOmTcOIESNoFAuUIV8YY3j8+DEMDQ3fmklubi5OnTqFw4cP4+bNm2jevDm++eabCisuqHMRSBkSQsj7UUFNapVMJsPt27dx+vRpBAUFIScnB2PHjoWHhweaNm2q7ObVCZQhP6RSKSIjI3H8+HGcPHkS2tra8Pb2xvTp07lt6Oand6MMCSGkDBXUpFbFxcXB09MTWVlZcHR0xMyZM2FnZ6fsZtUplCE/rly5And3dwDA8OHDsWjRIpiYmACgEdXKogwJIaQMzaEmtcrW1hZt2rTBsGHDMGTIkLfe5ETejjLkh3x9ZHd3d9jb2wN4WQRSIVg5lCEhhJShEWpSa+Tr00okEioCq4ky5Ic8Rzl6zHPVUYaEEPISFdSEEEIIIYQogK7JEUIIIYQQogAqqAkhhBBCCFEAFdSEEEIIIYQogApqQgghhBBCFEAFNSGEEEIIIQqggpoQQgghhBAFUEFNCCGEEEKIAqigJoQQQgghRAFUUBNCCCGEEKIAKqgJIYQQQghRABXUhBBCCCGEKEBL2Q0ghJDNmzdjy5Ytr72upaUFfX19WFlZYdSoUXB1dVVC6wghhJB3o4KaEKIy+vfvDxsbG+5niUSCrKwshISE4Ouvv0ZiYiLmz5+vxBYSQgghr6OCmhCiMpycnDBixIjXXv/yyy/h5uaGP/74A2PGjEGzZs2U0DpCCCHkzWgONSFE5X300Ufo378/pFIpLly4oOzmEEIIIRVQQU0IqRPMzc0BADk5OQCAgoIC+Pj4wNXVFR07dkS7du0wYMAArFmzBoWFhdzvXb58GSKRCPv27cOCBQtgZ2eHnj174vr16wCAx48fY8mSJXByckK7du3QsWNHjBgxAvv376/w3w8MDIRIJMKVK1ewfft29OvXD3Z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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "data.paramPlot(dataType='pc', sel = 'E', hue = 'redchi')" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [], "source": [ "# data.data[1]['results'] #.keys() #['fits']['dfRef'] #.keys()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Selecting & testing candidate parameter sets\n", "\n", "After reviewing a batch of results (parameter sets), the best result(s) need more careful investigation..." ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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successchisqrredchiMinMax
countuniquetopfreqcountuniquetopfreqcountuniquetopfreq
redchiGroup
A00NaNNaN00NaNNaN00NaNNaN0.0002290.000229
B00NaNNaN00NaNNaN00NaNNaN0.0002290.000229
C2031True2032032030.042157512032030.00022911710.0002290.000229
D00NaNNaN00NaNNaN00NaNNaN0.0002290.000229
E441True4444440.0421805144440.00022924210.0002290.000229
F00NaNNaN00NaNNaN00NaNNaN0.0002290.000229
G551True5555550.0421963155550.00022932810.0002290.000229
H00NaNNaN00NaNNaN00NaNNaN0.0002290.000229
I00NaNNaN00NaNNaN00NaNNaN0.0002290.000229
J00NaNNaN00NaNNaN00NaNNaN0.0002290.000230
K471True4747470.0422356147470.00022954210.0002300.000230
L00NaNNaN00NaNNaN00NaNNaN0.0002300.000230
M00NaNNaN00NaNNaN00NaNNaN0.0002300.000230
N00NaNNaN00NaNNaN00NaNNaN0.0002300.000230
O00NaNNaN00NaNNaN00NaNNaN0.0002300.000230
P00NaNNaN00NaNNaN00NaNNaN0.0002300.000230
Q00NaNNaN00NaNNaN00NaNNaN0.0002300.000230
R00NaNNaN00NaNNaN00NaNNaN0.0002300.000230
S00NaNNaN00NaNNaN00NaNNaN0.0002300.000230
\n", "
" ], "text/plain": [ " success chisqr redchi \\\n", " count unique top freq count unique top freq count \n", "redchiGroup \n", "A 0 0 NaN NaN 0 0 NaN NaN 0 \n", "B 0 0 NaN NaN 0 0 NaN NaN 0 \n", "C 203 1 True 203 203 203 0.0421575 1 203 \n", "D 0 0 NaN NaN 0 0 NaN NaN 0 \n", "E 44 1 True 44 44 44 0.0421805 1 44 \n", "F 0 0 NaN NaN 0 0 NaN NaN 0 \n", "G 55 1 True 55 55 55 0.0421963 1 55 \n", "H 0 0 NaN NaN 0 0 NaN NaN 0 \n", "I 0 0 NaN NaN 0 0 NaN NaN 0 \n", "J 0 0 NaN NaN 0 0 NaN NaN 0 \n", "K 47 1 True 47 47 47 0.0422356 1 47 \n", "L 0 0 NaN NaN 0 0 NaN NaN 0 \n", "M 0 0 NaN NaN 0 0 NaN NaN 0 \n", "N 0 0 NaN NaN 0 0 NaN NaN 0 \n", "O 0 0 NaN NaN 0 0 NaN NaN 0 \n", "P 0 0 NaN NaN 0 0 NaN NaN 0 \n", "Q 0 0 NaN NaN 0 0 NaN NaN 0 \n", "R 0 0 NaN NaN 0 0 NaN NaN 0 \n", "S 0 0 NaN NaN 0 0 NaN NaN 0 \n", "\n", " Min Max \n", " unique top freq \n", "redchiGroup \n", "A 0 NaN NaN 0.000229 0.000229 \n", "B 0 NaN NaN 0.000229 0.000229 \n", "C 203 0.000229117 1 0.000229 0.000229 \n", "D 0 NaN NaN 0.000229 0.000229 \n", "E 44 0.000229242 1 0.000229 0.000229 \n", "F 0 NaN NaN 0.000229 0.000229 \n", "G 55 0.000229328 1 0.000229 0.000229 \n", "H 0 NaN NaN 0.000229 0.000229 \n", "I 0 NaN NaN 0.000229 0.000229 \n", "J 0 NaN NaN 0.000229 0.000230 \n", "K 47 0.000229542 1 0.000230 0.000230 \n", "L 0 NaN NaN 0.000230 0.000230 \n", "M 0 NaN NaN 0.000230 0.000230 \n", "N 0 NaN NaN 0.000230 0.000230 \n", "O 0 NaN NaN 0.000230 0.000230 \n", "P 0 NaN NaN 0.000230 0.000230 \n", "Q 0 NaN NaN 0.000230 0.000230 \n", "R 0 NaN NaN 0.000230 0.000230 \n", "S 0 NaN NaN 0.000230 0.000230 " ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Setting wide-form data self.[fits][dfWide] from self.[fits][dfLong] (as pivot table).\n", "*** Warning: found MultiIndex for DataFrame data.index - checkDims doesn't yet support Pandas MultiIndex.\n", "*** Warning: found MultiIndex for DataFrame data.index - checkDims doesn't yet support Pandas MultiIndex.\n", "Index(es) = ['Fit', 'Type', 'redchiGroup'], cols = value\n", "Set redchiGroup for data frame dfLong.\n", "Set redchiGroup for data frame AFpdLong.\n", "Couldn't set redchiGroup for data frame mask. Error : ('dType',).\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Set new classifiers for small range\n", "data.classifyFits(bins = [2.29e-4, 2.3e-4,20])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Drill down into the best (lowest $\\chi^2$) grouping 'C'..." ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Mask not set for dataType = None.\n" ] }, { "data": {}, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.holoviews_exec.v0+json": "", "text/html": [ "
\n", "\n", "\n", "\n", "\n", "\n", "
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\n", "" ], "text/plain": [ ":Overlay\n", " .BoxWhisker.I :BoxWhisker [Param] (value)\n", " .Scatter.I :Scatter [Param] (value,redchi)" ] }, "metadata": { "application/vnd.holoviews_exec.v0+json": { "id": "2575" } }, "output_type": "display_data" } ], "source": [ "# Note hRound (== decimal places) specified to avoid collapsing colour-mapping to a single value.\n", "data.paramPlot(dataType='m', sel = 'C', hue = 'redchi', backend='hv', hvType='box', hRound = 9) " ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Mask not set for dataType = None.\n" ] }, { "data": {}, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.holoviews_exec.v0+json": "", "text/html": [ "
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\n", "" ], "text/plain": [ ":Scatter [Param] (value,redchi)" ] }, "metadata": { "application/vnd.holoviews_exec.v0+json": { "id": "2974" } }, "output_type": "display_data" } ], "source": [ "data.paramPlot(dataType='p', sel = 'C', hue = 'redchi', backend='hv', hRound = 9) # Plot with redchi cmap\n", "# data.paramPlot(dataType='pc', sel = 'C', hue = 'Fit', backend='hv', hRound = 9) # Plot with Fit # cmap" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In this case, the results look consistent for both magnitudes and phases (with +/- pairs evident in the latter case). We can look more carefully at any correlations here with `corrPlot()` with subselections (TODO: make this cleaner!)." ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Mask not set for dataType = None.\n" ] }, { "data": { "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# corrPlot() with subselections (two levels)\n", "# NOTE: with hue mapping for a continuous range this can be quite slow (minutes).\n", "data.corrPlot(dataType = 'C', level = 'redchiGroup', sel = 'p', selLevel = 'Type', hue = 'redchi') #, diag_kind = 'scatter')\n", "\n", "# For a faster plot either skip hue mapping and force diag to scatter (otherwise KDE generation can be slow)\n", "# data.corrPlot(dataType = 'C', level = 'redchiGroup', sel = 'p', selLevel = 'Type', diag_kind = 'scatter')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In this case there appears to be a direct correlation between +/- phase pairs over all parameters - for example, the third row (`PU_SG_PU_3_1_n1_1`) appears to show only +ve results sets or -ve results sets.\n", "This is expected if the dataset is not sensitive to the sign of the phases, and means that the phases are essentially defined modulo($\\pi$).\n", "\n", "Again, the phase-corrected values can also be defined & visualised to check this, and can also be mapped to the range $0:\\pi$ by setting `absFlag=True`." ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Setting wide-form data self.[fits][dfWide] from self.[fits][dfLong] (as pivot table).\n", "*** Warning: found MultiIndex for DataFrame data.index - checkDims doesn't yet support Pandas MultiIndex.\n", "*** Warning: found MultiIndex for DataFrame data.index - checkDims doesn't yet support Pandas MultiIndex.\n", "Index(es) = ['Fit', 'Type', 'redchiGroup'], cols = value\n", "Set ref param = PU_SG_PU_1_1_n1_1\n" ] }, { "data": { "text/html": [ "
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ParamPU_SG_PU_1_1_n1_1PU_SG_PU_1_n1_1_1PU_SG_PU_3_1_n1_1PU_SG_PU_3_n1_1_1SU_SG_SU_1_0_0_1SU_SG_SU_3_0_0_1
FitTyperedchiGroup
2mC1.6098691.6175831.1410431.1436672.6525361.143790
pC-0.857299-0.8610411.1990211.2000582.437037-0.704019
pcC0.0000000.0037422.0563202.0573572.9888490.153280
8mG1.5692581.6546511.1668651.2072402.6595401.129703
pG-1.057287-0.861041-2.8761673.1415932.040967-1.129251
...........................
992pC-0.867768-0.8610411.1934191.1951352.431628-0.710594
pcC0.0000000.0067272.0611872.0629032.9837900.157174
997mC1.6132121.6141011.1427821.1421062.6525231.143815
pC-0.862937-0.8610411.1959231.1975722.434125-0.708249
pcC0.0000000.0018962.0588602.0605092.9861240.154688
\n", "

1047 rows × 6 columns

\n", "
" ], "text/plain": [ "Param PU_SG_PU_1_1_n1_1 PU_SG_PU_1_n1_1_1 PU_SG_PU_3_1_n1_1 \\\n", "Fit Type redchiGroup \n", "2 m C 1.609869 1.617583 1.141043 \n", " p C -0.857299 -0.861041 1.199021 \n", " pc C 0.000000 0.003742 2.056320 \n", "8 m G 1.569258 1.654651 1.166865 \n", " p G -1.057287 -0.861041 -2.876167 \n", "... ... ... ... \n", "992 p C -0.867768 -0.861041 1.193419 \n", " pc C 0.000000 0.006727 2.061187 \n", "997 m C 1.613212 1.614101 1.142782 \n", " p C -0.862937 -0.861041 1.195923 \n", " pc C 0.000000 0.001896 2.058860 \n", "\n", "Param PU_SG_PU_3_n1_1_1 SU_SG_SU_1_0_0_1 SU_SG_SU_3_0_0_1 \n", "Fit Type redchiGroup \n", "2 m C 1.143667 2.652536 1.143790 \n", " p C 1.200058 2.437037 -0.704019 \n", " pc C 2.057357 2.988849 0.153280 \n", "8 m G 1.207240 2.659540 1.129703 \n", " p G 3.141593 2.040967 -1.129251 \n", "... ... ... ... \n", "992 p C 1.195135 2.431628 -0.710594 \n", " pc C 2.062903 2.983790 0.157174 \n", "997 m C 1.142106 2.652523 1.143815 \n", " p C 1.197572 2.434125 -0.708249 \n", " pc C 2.060509 2.986124 0.154688 \n", "\n", "[1047 rows x 6 columns]" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Mask not set for dataType = None.\n" ] }, { "data": {}, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.holoviews_exec.v0+json": "", "text/html": [ "
\n", "\n", "\n", "\n", "\n", "\n", "
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\n", "" ], "text/plain": [ ":Scatter [Param] (value,redchi)" ] }, "metadata": { "application/vnd.holoviews_exec.v0+json": { "id": "3086" } }, "output_type": "display_data" } ], "source": [ "data.phaseCorrection(absFlag=True) # NOTE - need to rerun phaseCorrection after classification\n", "# data.phaseCorrection()\n", "data.paramPlot(dataType='pc', sel = 'C', hue = 'redchi', backend='hv', hRound = 9)" ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Mask not set for dataType = None.\n" ] }, { "data": { "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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NN2rnzp3d/E2QDwp3VKej55s8Ed78X7r/aIxV4Y7qrOQT6Izwn3cqtOGgpFafU5Mk9U1Uq3/iQMNyDyHPyPUKlPL71F3ACTWbIcE0PLza2lrCjT/ByEnHNzgOwQkAgHbtOZjU8l87uvTdd5s8dd0mY5u1T66McZU4awjBCUCWtNv3bFh72UsvzdK4Xyk16lvWP/1c/6/p2vBOVUru+1VBfQUAPYz7fpWc6vqnlNuuP+onX0r/tydj0tNLN5+pqf7P0DsHFP4z1w0BdF7n+kE2Xf+0uKbWsv6i34OerLbKKprS4YCcFud703/GSCbF+Q70BBm74jZ16lRNnTo1sPfftGmT5s+frz59+uhLX/qSiouLtWzZMt18882qrKzUVVdd1eZr77jjDj300EO66KKLdPLJJ+vZZ5/VTTfdJN/39dnPfrYh3SuvvKIFCxZo1KhR+td//Vd9+OGHeuihh/TWW29p6dKlzAyBJtyquqfFO8XWpQdykGcV/tvu1ic5aMRKGnVgt7YVD5HkqCQmufX9Rrem7qlUTzJ+Q3S3tS0v5LSr1us4DQCg19p5MK6/PBXVsLhVSaqqgwC4enUzKUgN7VLqhFIlZwwKMqsA2tLZvqeVZLy6PqZJr83c1Yek6FsCqHck9YFJdTimTc/YspulHgB0Tlf6QfJlmgdRtYd+D3qg96p9nZhK1C211Pl7LapbnhhA7sr5R4JWrVqlVatW6dprr2033R133CHHcbRkyRKVl5dLkubNm6fLL79cd999t+bOnauSkpIWr9u8ebMefvhhzZ8/X7fccoskae7cuZo3b57uvPNOfepTn1I4HJbnebr11ls1dOhQPfrooyotLZUknXTSSfra176mJ598Uv/0T//Uzd8ePZlVItD0QKbUP0nSESOpwEtqyMEqxaJlcvy6HU6s7qkSI9moZFN1a3x3OHVCS4VMRwcAaF1lzUH9z3Nhff4DR2P275FxOnvxohFjFJ85SMmZg7mJAGRJp/ueRpKsrO8ofbHSkbVe14IU6FsCqNfV+sC6Mk6yw2RG6eUe3Per5I0qPbK8Aeg1utYP6iL6PeiBDuyVfDcleV0b3zsHEyIkB8htOT9P9qpVq3Tfffe1m8bzPK1evVozZsxoCE6QJMdxdN5556m2tlYVFRWtvvaZZ56R7/u64oorGra5rqt58+Zpz549WrVqVUM+3n//fV1zzTUNwQmSNHPmTH31q1/VsGHDjuZrIg/Fu7iuV1fTAxlT27WI0xP2pnTCB1JBfcyN8RvtNZLCki2U/KjkF8ha02K9zuasJL8kJO+4loFmAADs2fu2vvriH/S1fxTq+D2+Il7HNwwas1ayif5KnDlGydmsSQ9kVRf7num1lgslv0DyC+lbAjgi3nEl8otDHT6baW16feuuPvNlD/EkJ4D2+b60b1u8S69J10kdpBH9HvRc0bhRIiR19VamXxYOJD8Auk/Oz6DQGY7j6Mknn5RpJXRw3759ktJBB6158803VVJSopEjRzbZPmHChIb906ZN06uvvipJmj59uiQpmUzK931Fo1F94xvf6K6vgjyypSyq8n1dSz8+uOwAR66L629bhRTypbJY3cRbtrWbPOk1viVX8qMybvtLnBhJiSkDuWEEAGjh/Y3P65ub/q7frrhZBUk/PTdPyJW6cj3Cjyg5uq+SswoCyiWAzvB9aeuOkMZ16VX1UxvTtwRwFFyj5OkDFV2+s91kxkjWi6qrN0oqnwppu6SxJ0lOzj8uBiCTfM/q9TWe3viH0YT3C9SlxyD9iIzbfnA2/R70ZL6stvWJqnx3FxvPYgIUgFyXFwEKxhgNHz68xfaamho9/vjjKi4u1vjxrd/63bVrV5NZF+oNHjxYkrRjxw5J0nvvvadwOKza2lp9+ctf1ssvvyzf93Xaaafptttu05gxY7rt+/TrV9RhGtd1Op0W2fH84GKdttdIHayFmo5yNXp+cLGm8XvmpN5W3pp/z2RJSIfCSZUkwx2uf2cVlm9L0umM5BurcCoiG3Ik+a2XBRuV9VMyTtvrd5oJ/VT8mZEybu+6ktPbzr1s4Tjnlnz+HTjX0rrzOGzYsFI3bnC15E8LVZi0h596TPWTtVvVUT9MSrdfSXewim4apOJQ5i7acT7kpmz8HpwL6WPgeVarXgmp7I1S+TYko1QnxlEhWT+qJv3MdvqW9es552LfkvOAYyD1jO+ez7+T/cxIebvism9VttxXV59YP5ReulD1Myl0fM3HKqy+VaXautzR6ipH53wyLOcIbhTm87HvCXrL8XddJ++/Yy7xPas/PpvU+1t8Dakx6ldd0oV+kJFsoaxvuaZ2BHpLme5pmv8eW8J7dWK4SNYPS07n2l1TFlbppEHdcs5znnQPjmP3yLfjmLetkrVWt9xyi/bs2aOrr75a0Wi01XTV1dUqKGj5pFT9ttraWknSwYMHFQqFdMUVV6ioqEh33XWXbr75ZlVUVGjevHnatWtXcF8GPVJBysj3+nZ4UdwYyff6qiBFFCty09pdf9U/+g9pNzhBSp/LKX+wGjctxtr0X6nSdsqCkfxikN1k9gABAABJREFUWa8g/d+NlYblnD9c7oKPMJACADTx/p4PdMfK4XrolZkqrltW6HAr4simOu6HSZLvF6vg/x0rk8HgBAAtrXk1pW1bfI3Z5yjpl3dqHBX3y+X7fZqlbadv6YekMUPpWwJolXEduQs+Iuf84VJp8ycvTbpe8YtVF+ok+QWdqqtS/mBZOTp+r7R1s6/XXmO5BwBpr72W0vtbfMlKg2qkPjWd7wfJL5DkcE0NeW1PNKX+NUae36fT7a4/bgjnPNAD5MUMCs1Za3XbbbfpmWee0emnn66vfOUr7aZtbWmI+m1O3bxriURCtbW1mjVrlu66666GdOPHj9eVV16pxYsX65ZbbumW/FdW1nSYpj5CpjNpkR1j90mKHSdbWCPjxls+vVMffe9FpdhxGrsvwe+Zo7pa3gYNKg0yO4Fr/j1Xrl6uxKCFGlqT0uhDBxqePKtXfy6n/D5K+kOa7Ah7fjq9VybrxGXcWMuIbivJGFmnUMkZ5fLHhKS4JxW66fXxXCMdbH+a3nxFXZ8Z+Xac860Oyif5dq4dqe44Dh9U7dODzzlauG6gBlR7LdomSVL8OFmn/X6YZ6Pade0YlcXiUoabmnw9H6iDui5fz4Wu6FNWqDfXJjWw2qogZZTSELmmSiHnQJvlN+X30a7CIRpYbVTgx+Q4tY3SGskWSKmorJOS9R0pNUDWK5V916iqsjbnpjnmPOieY0AdFLxeca6ePkCa3F/OCwdV8OKHMo6fDnBqVBlZKxkVynp+u32N+nGykVSYkgZUpwOyjhuZVLiLV2V7xbHPYZ09/j29HvI8n3MsQ5Ip6bVXjayMSpNSWVwK+epUP8j6YVm/sM1+j3UGqPaGMini9Nprah3J1zq1p9dBzX+PvrGYiuJlcpJlsopJJiXjJNsuG6kyVYcHqqabftd8PU8yjePYPXrCcexKHZR3YUTJZFI33XSTfv3rX2vSpEn6yU9+olCo7R5/cXGxYrGWjXT9zAnFxcWSpMLCQknS3Llzm6Q7/fTTNWzYMP3tb3/rrq+APHFcTUhGjmztWPnJfmp52dzIT/aTrR0rI0fH1eRlvBDyQLI6Jt84enrE8Xq9/zClTNMnSazCSnjDFPeOV+NmxbG2/rmS9P9PDpJN9lHzpsfKyKaKFZt3rJLn9JM3plTe+L7yRpXm3IVjAED2VSdi+n8vfaAvbOyvsriVY1sJTpCkDvphH0T7acc3PqKyY1ibEsi2nTt91dZKEa++rDqKe8cr4Q2TVdt9T8c4SoWMas3gNvqZrmxigBQfKXllMjJyDknOexn5WgB6MtfIFpZJ8ZGyiQGycpslcGSTfdN9jfgxkm16TaetcXK/uGQ9o7+9FvxXAJDb/vqaJN/IKB2Y4Pj1e9ruB8mG5MeHyMaPlZrVS437Paa2TM77XFNDzzcqUaBo0srISMnBsvFj5XtFajnGd9NlIzZazgHOfaAnyKs7orFYTNddd51WrFihKVOmaNGiRQ0BBm0ZOnSoVq9e3WL77t27JUnl5eVN/nfAgAEt0g4YMEB79+492uwjz9SG6ldBdtID2rgvG6qUTCo9cE31U+NB6uH0QG6ptY4iknw52lU0VBF/iPrXVKlvTUpWIfm2RK3Gu7U4pY3k9ZHqZlOQ/PTr/KgkI5Og8wgAaF/K9/WVFS/q3979lPrEJdNh96lpP8xzPcXdsK4+xei+z/ZVaSjv4rWBHqm2Nl2YE02KpKOkP1RJf4gcUyWjln3P9NruUkf9zOZM7j5wAiCHmFIpXb/0lbw+bdcvySGyyXIlIjWyjtfuODlqpUFxafM2o6mTrZiBGuidPF/avN2oQJKsVJKS/A76QcZ3FU40ujHbXr0k+jvID9Y48hrKRl2bXNtH1onJOtWS8dPLnXilajj/S7KTVwBdkzfd4FQq1RCccPbZZ+v+++/vMDhBkiZMmKADBw5o69atTba/9dZbkqSJEydKkk466SRJ0saNG5uks9Zq+/btOuaYY7rjayCP1LRYxzg9raiS5en/bVb8WqYHcsP2cEoxJ6YhtVbDqqWI7+hQtEwJ9Zdny9RmU9LmKZ1eq1N+Ud16eemEtiiAzAMA8sp/r6vQ/3nrPA2uST9pZDvdfUr3w5L+ED0+rFT/3+yICghOAHLGweq6AIWIlHCbx7k68m2ZPNtffl3f00ryjOS7UspVo35n6/3M5uh3AuiUJjc4OqpfjHxb2qSuaswqXb8dKpAKPam02mgnzzoBvdbOvVI8la5HypLpGqM6IqWc9vpBjW7ASuqoXqK/g3ywLeo1ClCoZyS/UEoNlJKDJa9Mjc//VDKTOQRwpPLmqty9996rFStWaNasWbr33nsVjUY79bpzzz1Xxhg9/PDDDds8z9Mjjzyi8vJyTZ48WZI0Z84cFRUV6cEHH1QikWhI+7//+7/au3evPvGJT3TvF0KP90FRXL5p5SHyZqwk36TTAznJKdR7hRs05qBRgZfeZIxUU9BODIIk3xhZdbIMlEr+qO7JLgAgP32wP6HT/jRe/ZJOQ/uTDBl5nexvWUn7C6yOuXCrjuvLIxVALomWGPl1Tw/uLGu/jyml99cU1K3v7kqJkJEv+p0Aupc/SvIjne9n+Kbt2stI+rD0cNoBCamVFWcB9BLxhJQ0km+l0mQ68Lo2JFUVtt0P4jobeqP3CvarNmq6dJ8lSXAO0CPkxRIPe/fu1YMPPqhQKKTp06dr2bJlLdJMnTpVJSUleu655zRw4EBNmzZNkjRmzBhdeumleuihh1RdXa1JkyZp2bJlWrNmje666y6Fw+l1nvr166dvfetbuvXWW3X55Zfroosu0rZt2/Twww9r3LhxuvzyyzP6nZH7wpJqoo5KYn676Yyk6qjTfEUxIGecMPA4vfbBXpUl0h29+oFSVaEUTkkFyabbpbq/jVEi5Cia6rgMJKcbyWUWEQBA62qrpQ8fiWp4bbOLcsaotsBRSW3HbU1NxGjjF9/QGcd8NODcAuiq4sL0rCiupA/6Sn1rpbJYG31MSbFwui8a8tIbEmGjWNRRUZx+J4Bu5BrFT5QK32z/loiRFA87Ut3Nw9bqrZqIlIhKg2qlmpBUHZZUFVjOAeS4aESSSdcPrpWKk1JRQqqJSgWJNq61GaOU6yjs0d9B7zEmFlXMNV26z5JeoglArsv5AAVrraxtfyCwZs2ahlkNbr/99lbTLF68WKNHj9bChQs1ZcqUhgAFSfrOd76jgQMH6vHHH9fTTz+tUaNG6Z577tG5557b5D0uvfRSDRgwQIsWLdIdd9yh0tJSff7zn9e//uu/KhKJHOU3Rb6pjHiqLjQKe0bRpG1zkBoPG1UXGlVGvOxkFOjAJ4edoAMbonKbV8VGqiyVSmqlopia7LdGSoSkRKFRn+r2y0BqnJSaFfjXAAD0ULW10uYHjQbGjCJeuo1JNXp6oqbAKJxqv62pjkjr/ullnTpqRsbzD6Bjxw5xFIpIqpb6JKR9dbO0FjfrY/p1s3hVFab3N0yDbKSqIiPX76DfOZZ+J4Cu8f5Jit8mRdsKzFf6us7+YqNIKh3E31q9dagg/R6+kVxfCvtSGU+qAL3WkAGS61r5vtGQKimaOlyntHetrbrAqDBBfwe9R8g3iofUpfssocEdzbUAIBdkPUBh69atqqys1LHHHqv+/fu32P/FL35RF198cbvvMWfOHK1fv75Tn9daulAopOuuu07XXXddh6+fM2eO5syZ06nPQu/mO2GlXKMDxY6KY1aFcU+mUbCNNUY1UVfVBUYp18h3GJkiNw0eeLL6+X9tfaeRqorSF4kjKcnxJddLT7eb7ikaHShxVFRrVRT3ZRqKgJU1VvGQUW1KinhGxs3I1wEA9CDxuLTjp9Lx+325fl1wguvId4xSpr6pqWtrYlaFMb/FRbxdxdJ75z6hSZPaH1MAyB7XMRoz2pH7iq8BVVZ9aurKvCMlTLrMJ12pqkBNF6p00kEKYV/t1gW+kWLHGJmrxdOEALrEKTQ6dJKUrDCt1i21BY5qCoyMMaopkOLhw2Nj30iOTd947F9jFfLSY2LPkQ4UOUpuknR81r4agCyynjRul9WU7b7CzcY58bqlHlq/1maUiNDfQe9R64RVYNWl+yzhFAEKQE+QkQCFP/3pT3r99dc1cOBAfeYzn1FpaanWrVunhQsXauPGjZLSU4HPnDlT3/3udzVo0KCG15aWlqq0lDlZ0PNYxyjupiPkHXmSSUrG0+GYPleOJMeGFHfT6YFc5DghTR9WLW1rJ5GREvUxNn56KrqQrT/bjeJRo2TEyE35iiY9hVOeHFkVeJ4KNln53zFKzYwodU6IQRQAQJJkE1apOzxNOBSXY+v6T9aVb4xikZDikZA8p27deWNUU2jqZlOwMjZ9ke/DAk+7zlmuUz9GcAKQ66aeZnRoaVLFsWR6/FTXk/TlKhYJSyak4oRRdVRNHpmKhyQnmX7CsK26INlHKrpWBMQCOCIFlxrV3GdUU+UqlLJybd0a1yEja9JL1HgmXR81jI2tVBKXwimraCKlgkQq3Z+puy5UWmtU/eeo/DNdOYWMgYHexCaszI98fWJP630eJxKS66f7PI2vtRXS30EvFFVIrq8u3WcpKshungF0TqABCp7n6dprr9VLL73UsEzDgw8+qAceeEBXX321KisrNXXqVA0dOlTr1q3T8uXLtXHjRi1ZskR9+vQJMmtA4PoromjKqk9NXGG/VnITMocfH5djjQqTEbleoeKhqPqLZUKQu0Z8fLZ2/j0ux4uqvUsnVpJ1pZ0F0qCaukhve/hBt8JkSuGUJ+vEJedwmXAlOS/VKPRGVLGvl0gRp62PAAD0BglfBf+3SsW1cZlGjwVZa2T8iIriUYU8X9WFEXmNA9uMUTKcXv/5w4KUDn7+dZ068hOZzz+ALrEpq9T3alQar2l13FSUjCjkFUqFUXmOUazx0MmRasPpJ5RD9cvS1tcFxsodaVU0V3IYbgE4Qk5EKvqaVWyJlNxslLJNR8VJpy44odEwtiCZDk4oqU0cHgO7TcfApckaeT+IKn4LY2Cg1/CsInclFd7b+rXiNvs89HfQS42NF0pGnb7PUhuOKDIsixkG0GmBBij84he/0Isvvqjzzz9f559/vjZt2qQf//jHuuKKK3TgwAEtWrRIZ511VkP6Rx99VLfffrsWLVqkm2++OcisAYHr47rqV5VU2FbJuCnZFjMLWRk3rojvqW+Voz4u4a3IXW44pNIpvmpeaT+dkVQbkuTWrQ3sSYMPpQMXChMphVMpya2W4/iHFw9vYOXui6ngbk+xG/sykwIA9FYJX4U/qJQT81rZaeW4cVnjKZIqUiqRkl8Q1oFIeuYeo3Tz8kGRL++STTp5yMcynHkARyL1VK1C+w+1Om4yspIbV8RPKhXrI9+JKhZW04VnHSkekeK+FBnsq2i4ZEqk8ClcqAfQPZyIVDRP8hNWyTVWtkqq2SoldjtNl56RJJt+yjPaiTFwKBGTYQwM9BqhP6YU3tfxteJU3JHvRJr2eRr1d/YU1WjM2KjcUkN/B3mt/p5JZ++z9K8qUw6sbA+gEwINz126dKlOPvlk/ed//qdmzZqlBQsWaOHChfrwww81e/bsJsEJknT55Zdr6tSp+sMf/hBktoCMKDFSYapaxklJqlsnrJH6v42TUlGqWiWMQ5HjSj/uKDwyHabdvB9Y/3fCTUd01/8d8dMNjbFW0URScmtknLpQ7zbKhLs3qfCL1QF8AwBAzvOsCu7eL6e2Ljihnf6TdeLp6ZJ9q5CkZCj9b3ehL/eSD3XykBMymnUAR8iz8v94sM1xkxrKva8i/6Acz5frN01S3/eMR636Xi4VzJaip3OxHkD3cyLp+qVgttT3cikeSddAjcfIIV9yrFUBY2AAjXlW4RU1nbpWXJiqTo9zGvV56uuZWNhq1FWuiuYY+jvIe35fo0jSdv4+S7JadnOLCAYAOSjQAIVt27bpYx9r+tTSeeedJ0kaPnx4q68ZN26cdu/eHWS2gIzob3wZJ95KhHwzVjJOXP2N30FCILuMK/W/SPJH+Go2o6WskWrC0qG6NYF9k16Ds362rZDny1FCxngdlglrpfBfaiWPziQA9DbhF2rlfpjqVFthnIQcaxXy/Ib25v0iXyXzqzR+yMDgMwugWzibfMmLt/IkVDNWMsZTUaJaplna+r5odKrlIj2AjHEi6XqnJqwmY2RjGQMDaMnZ5Mv4nb9WHEp5Tfo8Vun+zv7jfZUUh4PMKpAzwqOkgrjXpfsszrvcZwF6gkADFAYPHqz33nuvybb+/fvrmmuu0ahRo1p9zfr169W/f/8gswVkxHAl0tF7Hc2MYNJRfsOVyES2gKNiXOmYiyV7ktGBAulg1OpAgVRZKNVGJFs3cqoOSx8WHL5IY3wrOYl0eeigTBgjmVorZ3My2C8DAMgtnlVoZW3n2wpjJZO+aJdwpQ8LrUZdkdJx/Usykl0A3cPdkpQxtuXMCc3V1Q0RP6bqcLoPeigqHSiwqiyUnOOtylnVBUCGlU9O1z+Vhen66FA0vewhY2AAzbnvde1acchPKOFKSTd9na2ySNrf32riJ5mGF73HKSdIvu1a2XH3cZ8F6AkCDVA466yz9OKLL+qRRx6R7x+OWrrhhhv0+c9/vklaa60WL16slStXaubMmUFmC8iIkNPausndlx7IFuNK4+dGNPTskPxSKeWqoYOYNEY7C6QtRdLOQunDwrqZFJTq+KJz88+pJdoVAHoTZ3NKTm1Xnxy08hxpf4HV8V+0GlTGWpNAT2M7fBSqKUdWRkmlXCkRkmoLpcGn+xrxSSvjBpRJAGiDcaURn7QafLqv2sJ0vXSgUDKGMTCApsyBrl37NUopEU4HY1dFpF3lviZdZuUyeQJ6kUhISpSluvQaR9xnAXqCQK/gXXvttfrLX/6i733ve3rggQe0fPnyVtOtXLlS3/zmN7Vv3z6Vl5frhhtuCDJbQGb06+JItKvpgSxyXKPjpodUMjahmp1WXlxSRPrxDqMtu4yivtVJtUa2j1Qak447ggdBbGGgMXQAgBxjuhycIPnG6P2+RiO/ZFVYGECmAATOH9n1Pt/2qK9lg6RjB1j983SrMBfqAWSRcaVBH5P6ftTqwZel7R8affWgdML+rr0PY2Agv9m+Xbv2Wxs2+rDAam2J0QcnWC08TXKpJtALDRtrpA+68ALuswA9QqBNWt++ffXYY4/py1/+sk455ZQ20xljVFVVpfPPP1+/+c1vNGDAgCCzBWSENyqcXhepE2sjydalB3oY40rFw6Sy0VLZsdLCyVZzxvuqKpX+0Ed6rVh6ZYhUWeBIMp0uE7bQyB9JmQCA3sQW1s3Z2Nm2whrtLY3q2K+J4ASgB/NHR6SQ6fS4STJaWe7oo6f4uvosghMA5I5wWLr6LKuJp/r69WjGwACa6uq14mXDI/rp8VLJVF8LT7MKEZyA3mo091mAfBT4HKjFxcW68cYb200zZcoUvfbaa3LdlvMx7tixQ9u3b9dpp50WVBaBQPijw/Ijjpxk/RR9VnKqJXmSXMkvVnphJMkPO/JH03Ci5ws50twx0kWjrCoqraqSUrErJWtdeT9z5CStjOlg2kojJacVSm4no109X+7WA1JtUioMyxveh5ByAOgJWtTfZfJLHJmqzrUVXkFURd9yZSKZyS6AbtJK3805p0z+sgPtv85I1jpKFju64UJXIYZPAHJQ/Zg4dZyrZIWjUE0Xx8CMb4H80EpZbnmtuA1GSoUcnfiZkC4YSGAC0H7ZaXrPxXdLuc8C9BA5sUhra4EJ9ZYuXar77rtP69aty2COgG7gGqVmFCnyQpUU3i2F9sqYw+sfWT8kef2l5GClzizq/M1YoAcIOdJJTSbDMfJmFsh9rkayRjI2HdXa+LSv+9sf6Cp5dnHHH+L5Cr+8ReHV2+VUJxo2+yURJScPU3L6CC7kAEAOsp4v//mNKlqxuUX97R9bLqeiX8dtRaGr+LdLZCL0n4Aeo52+m5k+UhpUJO1JtVnuZY2MjDStQKEwZR9AbguFjey0ApnOjoHPLFT4T++1P74FkPs6uFaVmjZIkRdr260TZI38s4o0YTD9HUBSo/ss1Y3KjpVCe1rcc3HCYYVfPpbrwkAPQAkFApScGZXtv1UmvFtSSofnIrKSScqEd8v236rkWdHsZhTIgOTZBUqNjUhyZG3rzY83MKTa6/t1HLDj+Sr4zRuKvvSeTHVCjcuWqYor+tK7KvjNG5LXQVQ6ACCzPF+p+1fL//16meq4Gs/TaKoSCr2/Vbb/Fkmm7bZiQEi13+4nRRjKAD1GQ9/t3WZl38pUJeQ/+47MsdvlDWj94YV0feAoNTai5MyCDGYcAI5cp8fAX+ujgsfe7HB8axnfArmtybWq5v2duKIvvSd37yalTgxL1mkxW72VJOso9ZGokrNYww5oLDm7UKmPROvKjpUiW+ruuXhqcs8lmeC6MNBDcFUPCFD4lfflxPZL8uum9Dv8r/5vJ7Zf4b++n81sApnhGsWvLFHinCLZUleSK1lHso78AleJOSWKfaNzN5zCf96s0Ia9kqyMmpWtuv8Nbdij8J83B/mNAABd4fkq+OVr0rqdalxfH66/05fonNgBeWMr224rbiQ4Aehpwis2K7Rhj1ov+74kK1XskXfaQSXmlMgvOFz2JVe21FXinCLFryxh5jkAPUcnx8DhVVs7Nb71ntuYzW8DoAPhl7cotOFDtd3f8RXa+KH80fuUOKdYtiR0uL9jHdmSkBLnFCv+hVL6O0BzrlH8C6VKnFMsFe+Vcask2Zb3XLguDPQYObHEA5CXPF/hVVtl5avtLqWVlVX4b9uUnMa0Q+gFXKPk7EIlZxbI2ZySqbWyhUb+yFDnB1+JlCIvb5Gsldpdy9Mq8vJ7Sp5xnBShuQOArPJ8FfxqjUKbK1tOZSrp8BMPjqyMnH27VLNwtJyt/pG1FQByRyKlyF/ek1o8J1jvcPkP/327ar4xQslZhUfeVwSAXNLRGNjzFV69TbYhOKEtVva59fJnjc5Y1gF0gecrvGpbh9eBZa0iL29W9c3HNdQLpU5EKjY6MMCjvwO0xzVKzowq/Npe2ZqO202uCwO5jbuhQEDcrQfk1CTa6ZSmGUlOTVzu1gOZyBaQG1wjf0xY3kkR+WPCXRqARZZtlPFseq2xDhjPV/T3648mpwCAbhB+ebNCm/al/2i3yrfpvlFVQu6Og0fcVgDIHdHfr5fp1PSqVk51Ij0uOoq+IgDkpDbqNXfrATnVyYaZpNrl+fIffyPgjAI4EunrwPEOrwPLSMb3FVm2saFecE4tlPORAvo7QCeky1rn2k2uCwO5jQAFICiH6tcaq2eVXhMppcNrIzXadyiewcwBPZTnK7RujxqvWd4+q9DbO+S+tV3u5g9ZewwAssHzFV71vmyb/aDGGtXvtcmMZA9AgDxfoXW76/5obzxUv99K1YkMZhAAsqw6ofbHt03rTvuPHYxrgVxUnVB6ivnOjXlC63ZTloEj0Wa72fpYg7IG5C7mNgEC4r6/v+6/rKSUZJJNnxi0kmxY6WJo5L6/X97EIRnOJdCzuO8flBP3Onj6Vmpc7kxKKlz6d0mSXxxVcvIoJaedwJIqAJAJnq/oM2vl1B5oGhrdrB/UqsJw8PkDECh3636ZeFKdGQ/Vcw4m5GU2mwCQNc7BtoKy2riWFI8r+sxaxc//KGNaIFd4vsL/2CyZ2k71dSTJiafkvn9Q3qi+GcsmkA9atpvt33sxcSt36355I/tnLpMAOoWeLBAQG3IkWcnEJSepw5F9jf45yfR+2br0ANpV/zRtu5MnNC53Tbeb6piif1qnwof+LCVSAWUSACBJ8nwV/OZv6Yt1TfpAdRr1g5qwki0IyRveJ2NZBRCQ6rhkYpLT+EmnduoBK/ml0cznEwCyxC+NtjK+bT6mbXotKfyPzSpYsoonQoFcUDfmCW36QF0a80jMGAccgabtZvvtpZxEen81M1cDuYg7okBQygqUjt7zJPmS8dP/W/+v/m9TN/VQWUEWMwv0EIVhdTx9QqqufNUntaovd6buf93te1X8o2UKr1jHRR0ACILnq+DRv9RdqGutH1R3RcH4Sk/B2IiRUmMH8VQg0NN5viIrKySTUpfqgeJIxrMKAFnTap1XP6a1bV5LCm34QOGX38lkTgE0dzRjHhlmjAOORJN2s+P2Uial0Mad2cgpgA5w1Q8ISPLkIbImIWvrGslWWVnry5qEkiezvAPQEe+4MvnFYVk5bRQrm57Sq3Ekrdoog4mUon9ap4IlfyVIAQC6k+er4DevKLR5Txs9oEZ1s1W63q7/b0nWcRQ/74QMZRZAIOrqAXdnZefrAWvlF0XlHVeWyZwCQFZ5x5XJL4zKNnkaNF0ntjmWrUsX+UsFMwMC2XIUYx5rJb84Qp8HOAKH283Ot5eht7bQXgI5iAAFICDuroMyxsp08LC3MZIxVu6ug5nJGNCTuY6SU4bJyFHrTZifnjWhody1vRZEfZLQhp0Kr+TJEwDoLuG/rFdo0y5JHc15YxvV2XX1t3WUmD5KioSCziaAAB1ZPWCVPH04s6cA6F1cR8mPD68b40qHx7TtrmsoSTKer+iz/wg0ewBadzRjHiNXySnH0ucBjkRDu2lpL4EeLudbwTlz5uj//t//m+1sAF1XHVPTm6O2lX+N9lXHMpg5oOdKTh+u1An9Jbmytm4Y2GTGhMb/3XEn1coq/Nd35L69Ve7m3cymAABHI5FS+G8bZFvt7zTXeL+VrFHq+EFKnnlc4NkEECDPV3j1pmb1QNtPNDXsO7avktOHZySLAJBLktOHK3X8IMkadVxvqkma0NtbeSoUyLSjHvMMpM8DHIXk9OHyjilT2+Wv5X2YUMUOrvkCOSbQR5NWr17d7n5jjEpKStSvXz+Vl5e3mmbs2LEaO3ZsENkDAuUcqg84aNQYNg6ptdLhEFoj51BMXmazCPRMrqPYZRMUfnmrwqu2yVTHpYbS08GUJU2ky6WRlYnHVbj0r5Ikv7hAycljlDxjLNHsANBZnq/wygpF/vaOTDx5uDpu1t9pix8KK3nG8engBOpeoOfyfEWfeVVOTW27Y5/WOJ8dR/kH0Du5jmL/dJLCK95XeOVGOX68jYQtry+ZlK/ie55R4vQTGMMCQWPMA+QG11HiE2NU+MiuZjvavg9j4nG5W/bIG936fUgAmRdogML8+fNlOprfvs7gwYM1d+5cLViwQNFoNMhsARnhlxaoYb2x+iD45kzdwmNy6tID6BTXUfKsEUpOHy73/YNSdULOoZj8kpAKnn1diiU7nmKvjbJpqmOK/uktudv3KTb3DAaNANARz1fBkr8otHFn688ONervNL9gZyWpIKyaG2ayrAPQ0zWqC1rVRl1gJZnSAjljBksHmVUOQC/lOkqePVLJaceq+K7fyySbP+XZzvWlWIIxLBA0xjxATvFGDJQfDcmJJ+q2dHwfJrL8DdWOGEQ7CeSIQFvECy+8sMMAhVgspl27dmndunW67777tGbNGv3sZz+T67pBZg0IXnFUTaL1mheFxtutrUsPoEtcR96ovpIOz6GQqDyk6J8qOnhh22Wz/s/Qxg8UXlmh5Izx3ZNXAMhT4ZUVDTckW/T8m/d3mqUwkuIfH8OFOiAPNK4LOhz7NEpgJDnTT5DhQiEASJGQkuOHKfKPzc12MIYFsokxD5BjXEepsUMbtZcd34dxd1bSTgI5JNBW8Yc//GGn09bW1urOO+/Ur371Ky1dulRz584NMGdA8Lyh/WSNTbeN7cTppPutVt7QfhnLG5DPktNOkLujUqEN6aj2lsWvbqqv1nc2SRX++yamyQSA9ni+wn/f2FGVWvcEQ/10i4dTpo4vV/KME4LMIYBMOIK6wMrIKF0PFMziIiEA1Et88qMKv/m+TMNa2Yxhgaw6wjFPfXrGPEAwDreXnmgngZ4nZ0phYWGhbr31Vo0YMUJPPPFEtrMDHDV3x770ymMdrHJiTLrddHfsy0S2gPznOorNnaL4zHGy4XDradpfFrAhiVMdk7v1w+7OIQDkDXfrh3Kq4x1Vqa3Wu6mRgxW75HQuDAB54EjqAqPD9QCzJwBAI5GQEtNObLqNMSyQNUc65mnc12HMAwSgcXtJOwn0ODnXMk6dOlVbtmzJdjaAoxdLdJzmaNIDaJvrKDnjI6q58Tx5w/pLan35sU6hbAJA27pYR9bXxWbcUMUuZ41kIG8cQX8pdXw59QAAtCE5faxSJwyRdARjWcawQPc6wjEPfR0geMnpY+Ud07drL6KdBHJCzrWOZWVlOnjwYLazARy9gkiw6QF0LBJS7RfOVHzmeNni6JG9B2UTANrWxTrSFoTlnDdJ7j/P5EIdkE+6WBckTh6h2CVTqQcAoC2uo9jcj6fHsgVtzAzYFsawQPc6gjFPfOZ4+jpAJriOErNO6tpraCeBnBDKdgaa2717t/r375/tbABHzRs+UH5xVKaDKcCsJFtcIG/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MSSmS40jGwd/ODg+R2oObfEBTKg4p7f41MgK26ttHlCQ5XgXG9Ka8Ai2FZSowtq8kW95P65juIXKvpmJfofQ/PZ/ukAJtFDg1VbKYCBtAM/DbSp2zUdbeA1VeQa1/Pyh4dE5pnQgkAL8t15aiCs1y/e8Lc30OxKeon9YsXLiw3mmzs7N1/vnn66qrrpLLxYMhtDB+hRtJJygZwerzGkf+dkoDGZjhAUnMCUnO97bSXiqSFdwjxyqU3CEZhi0ZNT0eiozX5ZRHwtZ436e8jNVWxIJ9sxQY1btxdwgAEJ9CjswfJBVIxuYCmYV1zTNZ2t4ctK0p5UhOSrpC3VvJtT6PdgeIByFH7o/y5P4kT6YCpTfozXpfhzlWmkI9WjdHzgE0o8CYvrK27ZVrfd7B79XIW+HNzPIHG4bhyLNkk6xvc1TyPxmShyAFAE2o2Fba3Rtl2kVVrl/M8A041d0Pcgy3fGcMaMpcA4fE80auDKdCkIEh1edc5/ociF9RRw0899xzB11vmqYyMjLUtm1bZWdnNzhjQOIzJFmSky45vtK37ZzK622vJG84XbTzJgEJILDXUfCJErXaVSKX7ZPp2ie5QjIcR5ITfhG11lPfKP9n1DZel1FexrxBKVD+IMrJ8Mo/tEe4E0qULAAkNbvYkfWi5F3ryIwEfVpBKbU+W5uS7IO0NaUMKXhEB/nO6i33kg1yf71JRkH5aAq0O0AT8NtyLdsvY39IToYpa91+uTYWSLIr3JOs/3VYsH8HyivQElmmSs4fppR5y+XatFO136spjaZ3TFW7Z2MEZRXmKuXmriq6OUNmBvd0AMSeXeAo/a4fZBjFVUYjlcL1lCkZdp39IP8JjDSKBBJy5P7vflU6xyVVui9cw7keOKabfGcOoL8PxKmoW6Hhw4fHIh9A8nG5JMdSeLj6lPAFrhFUeaiqK9yLdIxwOkYZQRIpyLdlzSlQu5J8mYZPcjmSbJV1FI06AhOcSKLSDqQTKhtQoeJ9ofCfhoJ9O6nkF4fL2rZXKg5Iqe7w3GJ0QAEgqdl+qWSBo8zvHHkDVaefrE8bUNoXkyUpFA5SqO0tI8uSb2LP8PDQJ/RVYFRvWVv30O4ATcFvy/v8T7J+KJBRVtLL+5bhfqVZYTQUq3RKloNdh5kKDunY1HsCIF5Ypkp+eaxSXlwVHhnJcWQYhsK3So0KIylE+gmq0NEwwtWIbJmuXKX/v1bac3VHpeZYzbAjAFoK/05bre7/QaZZUuGeWtXR4CJ9IElOisreMJcjxzFkGC4F+7ZT4MRuTb8DQANZPxTICNmlffjI85bItXtkOkavZAdLl5tyvOkEJwBxLmZPRAOBgNxud6w+Hoh/RVbpzS9Jji0pJKlKmXAshW+kucLpgQS3p8ivRxaV6OalAaU6eyWzdIgtOar62KhMtWG1S28AGaHy/5ZRWo7sytt6LPlGdVFgdFfJMhXq0b5xdwgAELdsv1T0kKG0XZI3UPqQslKKoBwnHN128KA4qzSWwSgdEtWunsyx5B+ZU/ktI9odoGn4baX+dbPMIr+csgCi0r5lpYCi0uADM1i60FXrdZhju+SkpyvUI7Op9gJAPLJMlVx4pNyf5crz2Y9SIFR5feSeTaSiMSTZlUfANOTIcB1Qu0d8yv1VNx3WlZdPADS+fTuDyp69RZbpq9z/iQRRmZH6q2ofyFBZP8hjyTe6/B4akCjs1aXDJDql53el5y0Rped6advtH9GZ8xyIcw0uoatXr9aDDz6oTZs2VVr+0ksvady4cRo4cKBGjBihe++9V36/v+YPAZKYubZE4ahVs/T/3eEbZmX/3JXWh9MDiWlviU9TFm3Qve9buvbfplLtA6VvqqmO2UsiUzhUXW6WdjpVGsBgKhxT55ZTWoZCXVqr8H+GhaO+6XACQItT8ndJBVJqiV1DCJwjuQol23uQ4IRShlk+dLMTbmsi/TXHjrQ9Xkkpjb4PAOrmff4nmUXhewrVynO18u0qLc+q8NZzaZm2I9dhHhnyKnBcB8liSHagxbNMBU7spsIbhslOTS2vL1R6z6bi28lOZJS/yHSE5f9nmgG1f3yHNu/h3g6AxrVpT4laPbhTllH6jKXSCz6l9VKle2gV+kCl/Z9QZpoKb+AeGhJT8MtiVT7fD/68xTHdCpzQqXkzDaBODQrrffTRRzV79mxJ0uGHH64ePXpIkp599lndfffdchxHPXv2lOM4evLJJ7VixQo999xzpUOlAS2Ds9uR44QfqhqqGLVaMZEVTuOYcnbXMe8xEEdCdlC5ef/Wuh8+19ytBcre/QudU9hemUG/Dis+IMf0h6fyPki170RmezCMCsPPRbYJR8Q6ti3DqBwN62R45B+epcDoTlxUAUALZful0GZD7qAjq6YulOmTYdiS45VjB2WYwXBTU8PUDeGbee7S6YQib15HEhpybI8cxyvXsr0KjD2MB5pAUwk5MjcUyfrhQPXyW0XlfqU7PJSxUfFNwvDGjm3JMEyFurRSYEx2TLMPIMF4XCr6zTFKv3uFDAWrr7etsoeAjlNDheRIqaFCzX8vS2NGfqGRXYfJNBlNAcChWberQE987NWcUEF4QSQOoVLfx5AMl2TbFfo/kcSGQu1SVXzVkZKH0XuReEqKpIxg6cAIMmSo6vleuU12bEtB5zDuGQMJIOqe8tdff637779fnTp10lVXXaWhQ4dKkvLz83X//fdLkq655hpdffXVkqQXXnhBt99+uxYsWKALLrig8XIOxDu/LVlm6QikpsJvgFe4g+4YkkwZMuTIDKcH4pxtB7V849P6PHe+vlV7nb7uBj2S214ZQZ+kvHAio3QesIMKXyQZZVEMZunVlVMpjSFLwR6tFTixg+QLSakuhbpl0MkEgBYu8I1kOIYsp7b2JtKvMiQ7XY7jk0yfqk035EQeXEbaoshwqCoNNPUo3B5JRkFI5uZi2b3SGn+HAJQLOXJ/ki/Xl/tkFgQrxwzVqGK/Ugpfd5UO7+rY1d4ytP3t5T+uM8FGAKpLdcl/Qmd5P/6pxvoj0m8wjEiQQoV6xAhP93Drd5v1wr4u+n99fqeJPYZoSM+LCVQA0CCb9v+o//0yTS98t69CP0eq/Z5axf+W5EjBjukqmdmPfg8S1up3HQ2XrfA5Lx3sfA//bdV9WxpAXIi6h/ziiy8qNTVVCxYsUFZWVtny999/X8XFxerYsaNmzpxZtnzKlCl65ZVX9MYbbxCggBbFlltS+KI1fPEavliNCC83S9tQozQ9EL98/gI9sOx8bfab6rPtb3p4Y2u1LwnIqWl0kHox5DjhecEj5SQyl3Ckmxnsm6mSKT24kAIAVBI6EO5T2bU2DxUD2QzJ8Uq2IUclZYsiDxcqvpUd/tsq7Z+5VLV9M4qrzE0NoHGFHHnnbZdrbVHFKydVnl+2prf/KvYrS98mVHj+WcdW6XJTTjBT8neSk0HfEkDNAmOzZf1YLNe6A2X1R0Sk3xC5j1NZuK4ynZCmbgnqq/1X6c/m9zom7zHNGnq5PC5P0+0EgIS3afs3umF5kZ7+pofaBvZLRsUX28IBCrXeU3MifR+XSi7vyz01JLR9eyWn9No8fM5HruPtsilNIv1/p/QlUZ6zAIkh6ldQly9frnHjxlUKTpCkxYsXyzAMjRs3TpZV+YbB0KFDtX79+kPLKZBgSiyvwkXMkBMZMtgIVfgXDC8vjfYLpwfiUyBYots+v0BDv7tNj33y//THNY46BPbKsAplmAcko0Rlb6XWeN1T06tv4XO/8vCYpek8lnzjOxKcAACoJhSQ8raE/zvgMhSqMDV0GdsbfhjpOJJRJFn5MqwCGVZQhhUs7YfZqmHL0nYp/GCz2rpUhkUFYsn9Sb5ca4sklQZ3Gz7JKJJhlpT9k1EkKVBly5r6lZHlhpyQVwqlywm1kp1pyO4Z+30BkKAsQyVTeijUOlXl17EVpoopHQ2z8vVtoKyuMq1iGVahhu8v0fxPB+qnXcfrxq/fVtBm1EwA9bNx+Tta+89ueuXrjsr275BhFVXoB5WovB9Uyz01GXJst/yjOkoeRiBFYiuxJb+RonDbG3nZMySp/FmLYYbkKCiVjrQQSuM5C5AIom6hdu/erS5dulRbvmzZMknSyJEjq61LS0tTcXFxA7IHJK5lbdJKXwMPyDBrftvOMEOSEZCc0vRAnHr8i2t11dd366wfJY9ddT5OR4bpk8wilT3oqTpbg6SaIxciw3GZ4QdJtkvBTm1VeOMRCozNIjgBAFDGtqUV/5FWP2bIu8sKNzWGoeIUs4YWxpCCGTKsAzKsYtUUiBDuh4XkOEZpMENkSq7Iv3KOI9kZluzuqbHYNQCSnJAj15f7SkurI5lF4T5mtfLryDD9kuFXpb5npF8pU44d6Vtakp0uySvH9sgItVJwtEEfE8DBWYaKf9NbjuEprUuq9hMidYgjGf5wnVRDXdU2tF9zv2ytaV+cqfmf7hIxCgDqsuH/s3ff8VHU+R/H3zNb0kNoCQJBmghSFUSKKAICYkexYUfRs3sq2M/TuxP07uchdlREFEE5RcVyigVBwYJ6Si+K0msoqVtmfn+ExIRN25DNttfz8eChmfnO7me/O/P5zux+9js/LpA+H6YRm3KUYu1RxdcxvgPnQdIfX9qWyVW2U5YrTd6hDesxciA0lib7tTshrfg2S7Ykw3egICFQybFhd0+t7zAB1ELQBQrJycnat29fuWUrV67Unj17ZJqmevfuHbDNxo0blZGRUesggWj0a4P84gHzwBRcxkGfgZX8bRiWZPiK2wMRyOsrVKeVY9RxX5GkCuZBKN2XfcW/ciup2A743LeiX5r8sc6WW54Tm6nwmhZUeAMAyrEsaf4XhrTQVONCQzIln1k8ouQnGipyHfhVY9mNzAIZZvGvi6o8Dyu9VdEfX24G3NrBkPwdUvhSEwghe12ezFx/8dFnFBWfW6qq49ev0uO3XJsDx7PllqwkFRcsOCVvlvxHGfINCvELARAb3Kbyx7eXZSXq4FkUihmS/AdyUeW5ymXsVe+dOzT0y2b67FOLIgUAldq+Z6eszweo/d5tStReSdVdx5T8gKjkczhDspzy26kqGH8Y1y6ICbmOAuWm+iSZxbMlVPtdi1/Owm31GySAWgn6G6COHTtqyZIl5ZZ98MEHkqRjjjlG6enp5dbl5uZqwYIF6tix4yGECUSfBKtQMrwHph2qnH1gloUEq7Be4gKC9fEPT2nwFneFlallFe/LJb8cKTPfdrkNDanklye2Q7Lcsv2J8mU2Vf797Yqru7mAAgAcZPlSKXG1oSYFfwwrRU7Jb0gyDOW7TXkdZS9tbBmunTU8D/MX/xrjwIw+5b58KDOW+Y/gVxhASOWVzDpX/Ivkmh2/PhUXIyRIvnTZ/sTi/7eTJLlkyyHbmy6/7zAVnexQ0RXMngAgCKkOFQ5oK8vbpPj6tfRc4cD5guGrUa5ymtt1WK6lI35w6oePRJECgAD7Coq09PWGarZXSrS31fw6ptznbE55rUbaN66FxK3pECP8RpEcJQNnTcfdVbslf3WfZAMIt6ALFM466yytWbNGEydO1ObNm/X555/rlVdekWEYOu+888q19Xq9uvvuu7V//36dcsopdRY0EA065ZsyDDugmu9ghiEZhq1O+fxiHJFp86/NlOLzVTjvQVkl+/Ifv0Q1D3zhU35LW4bkS5HlyZTP11JF7dqq6IamzJoAAKiQxydt+8FQI89BcxuYUoFL8hqS22fI6zRV6HaoyGXK686XYfpqfB4m6cAHexU4ULxgp/AhHxBSpceYP6jrKNvvkryZsvxN5PO1lc/XUl5vlvzeLBX5s7U8K0MFD5nyn0JxAoDg2UMNFR2RKcvTUvInFV/Pls6eULNcZRpemUaumu+x5f/d1Mr/GhQpACiVX+TTq1Ny1TrPpXRPrkwjmOsYS5Ih+RPk8bVQzh1N5M7g8zXEjua+ZLlshySr5uNuoV+O33PrJT4AtecMdoOzzz5b8+bN09SpU/XSSy9Jkmzb1qBBg3T66aeXtvvrX/+qefPmaceOHerVq5fOPvvsOgsaiAZpXndI2wP1JcnXIMgtDtw52DYkOWT7GsksmVnBdkp2ovxyq8jhkk6S7CGS+M4HAFABnyVN/tLQkHxDLn8FDQ78kLH0IzjDkGUYpdMtB8dU8VhVfqktQ3aqQ9bhSbV4TAA1ZbRLkc/lkMPrrbYwtizbTpHPSJRstyRDtp0knyn9lm7p7h57NWVYmkwnhQkAaskhWVdK+/+bpIT5zZXgK5RcWwPnlq6GIZ9clqGWe6XdPkObvreV3StEMQOIGn5LmjYtV933pijFIzlsX/UblWUbsm2nNrmby3WbS6npnPMgtjTxuGTbbtkygrpGUEGQxxKAehd0gYIkTZ48WXPmzNHnn38un8+n/v3764ILLijXZsGCBcrJydHIkSN17733HlKQmzdv1qOPPqpFixbJ6/Xq2GOP1V133aXDDz+8xo/x/fff66KLLtJ7772ndu3alVu3cOFCjRkzpsLtnnzySQ0ZMqT0708++URPPvmkfvnlF2VkZOjss8/WddddJ5fLVbsXh5hl28F94xpse6C+WOZeSc2C2KL4dNEwJI/VUD6zofam+OVz2nL6DHmcDvlNQ4UJkrXDVusDv0EBAOBgb/4iNd1gKNUrOSv5paFZwXI76Msc46D/ll/j7dOAX14DIebxWtrmaqAW3qKgttvaIEUFzgQleIvzgWVKnxzm1YwWu/Tc8RlKdPIrQgCHyCE5R5ha07NAv7yZpH47Gqlp0Y6gHqLk3MRpSWleqeBrQ/7uthx8nAjELb8lvTtfOnpbohL9xecxwV/HmPq2aZpcl3jUIT0hJHEC4ZTos2TYhnx2mtwKYlaEpFp99QmgHtXqKDVNUyNHjtTIkSMrbfPcc8+padOmSktLC1iXm5urffv2qXnz5tU+1549e3TppZcqNzdXl156qRISEvTiiy9q9OjRevvtt9W4ceNqH2PDhg26+eabZVdyg5o1a9ZIkh566CElJJQfyLt06VL6/x9//LFuvPFG9erVS3fccYdWrVqlp59+Wtu3b9ff//73auNAfFmf7FLHXKcMVT0tl20Xn3yuT3apVf2FB9TYoB5tlLfaqeRqbvNQnGIN2bZDhiH57RT51EgyDBUkOFWYIMmW3D7JOPBfz05De76z1fC4+nktAIDo4bOk/643dH2uLadVPIOC01d8xwV/mXs9WBV892jZqbLsGpyHSZLDlPwO2SpfnlDyt+/IZHlPaFhHrwpAZT6c41N2YmM1yyuUw86XVPUUrrYtWYZLBc40yZCK3MXHrd+w9Vr2j3rx+K7KSGSWOgB1p21WipaO+FVzFrTUGeuLlFVUs1xlyyXLTpUkOSxJtpTgM7Tjc1vNTq6X0AFEoCUrpGarTaUXFn9OZiqI65gDn8H9lpIq/4WGOjcJ/A4GiAUFpkd+M0le+zC57G0qvtVD5e1tW7KTnPK3Sq23GAHUTsjKiNq2bVvpupdeeklPPvmkVqxYUe3jvPTSS9q4caNmz55dWiwwYMAAnXXWWXr++ec1fvz4KrdfvHix/vznP2vXrl2Vtlm9erUyMjJ03nnnVdrG7/fr4YcfVufOnTV16tTSGRPS09P1/PPP67LLLlOHDh2qfT2IH2saSIO2ZinRsanKdoYhFfmztKaBdEI9xQYEo0XHvvqs2bc6bWPVvz4zDMm23LLllNfKkE+NZMuQ35QKXVJKoZRcJDlsSZalBG+RTPnke8+WkeKU3SmBX6cCAEqt2mnrtPVedd7iUZLXli2nfKZbPqdDlmmoyFk8vnickt+QTLtsgYEpn5Uld3XnYZKKTsiSlCjn4r0ycv+4NYSd6pC3T4Pi4gTGJyCkvF5Le7fbamkaKrAOU7Ly5HDuq3Ibw5D2uDMl449zVEPSutQ9mnZCF6W6KU4AUPdGZB+ui1t+JJlDdf7aQjXw5VTZ3jAkrz9TtiU5VaCsvT413W9rb5JbO1a4ZQ+SDCbUBOKOzyslfGLp6K15Mm1blmGowJEsSw55rSwl1ODz5I1JDbTygq06vhn3i0Hs2us05XFLfsMhj9VMCY7NVbY3DMnTN5NreCAKRPxch3PnzlWPHj3KzWTQoUMH9enTR3Pnzq1y20cffVSXXXaZUlNTNWLEiErbrVmzJuC2Dwf74YcftGnTJp1//vnlbudwySWXyLZtvffeezV8RYgX6ZZbOxObyedPl1RS2fqHkr99/nTtTGymdIsP0BC5jjjBp5UHpoo7eC6akn3Zb6Wo0N9OhXZb+dRYOnBvsP1JUka+lFYomX5LqQX71LBgp1L8e5Vk5SnNk6/kV/Yp+f6dcn2UK/krnu0GABAn/LZcH+XrmMd36eI1OWpUlKckK1/J1j6leXcqI2+Pkgo8SvLYSjkwE3x+YuDNGbxWM/msBpIqOA878F9fhwbynnCYvCc1UsG41ioY01yFFzVTwZjmKhjXWt6TGvHBBlAPli73K63I0hHb9yrF3iHTSpdtJUqq/Dqq0GignITi25CVNCl02No0cLNS3UxxDCA0nKapM9u01czM/+rZDq2131nJuUbpZz4NZHhTlGzvVIL2KkHF5zXN8vaoy+YdMv7DNTAQb+xcv5IfyFHfTTuVZOUpwc5XkpWnhp4dSrJ2yefLrPw65sDfO13pWjzgKx3fhuIExLYGfrcMQ9qXLPl8WbL8yZIqPzZynOnynhDMrYoBhEtEFyjs3btXGzZsKFecUKJz587avn27tm/fXun2q1ev1lVXXaU5c+ZUOqODbdtat26d2rdvL0nyeDzyer0B7ZYuXSpJAbFkZWWpadOmpeuBEgmmKZ9py/RlyPalK/BwM2X70mX6MuQzbSWYEX04Is616NhX1ik7NLeF5DXLT75jy6UifwsV+jvKUooko/RD4vwEyeeUEn2SLEsNC/fIbRfIqOCG4YbPlvvTfCVM28MHNAAQr/y2Eqbtl/uTPDl9FYwVkkxHkZL9+5RSUCS3z1aiV8pNKp5NQSpbSGeqyN9eRf4WslX+Bs92qlNFg5qr8MJ2fxQgOAxZbZPl75wqq20yhQlAPSrYZ2no2t1KtAsOFBsZkq9JhddRtpzKVwttTGlfOnuCbUj5Lunrdht03hFH1nf4AOLMqOz26tmssT5o9qHeaHWYtiW2kG0cdK4hlzy+5jK8jeU0Ciu+BrZtpXzPNTAQVwr8Svl7jlz+wO8fJMlheJWk3Srytq34OkYu7XQcpq+OX6jhx19SHxEDYVXynYnP8CtJu2X4G8mq5LsWy9dA65Jbcy0PRImQ3eKhLmzbtk1ScRHAwTIzMyVJW7ZsKf3/gz355JNyVzOt48aNG5Wfn6+tW7dq5MiRWrFihUzTVP/+/XXfffcpOzu7RrFs3lz11DKIP+lpplrs3yPDsCWrgWSlyzaKJFmSTMlOkGTIMGy12L9H6WkZ4Q0YqEarziepeftczfhgrLI3T1TbvDTZtkMuT5rSC8xyA4rPlHKTpb3JUtP9xV8WpRXlyZSv+MZ6UuBPXQ/87VztlfV5vryDU+rhVQEAIonrs0I5V3mqHSsM0ye3v0A+j0N+06V9idLWhlJSgdQ4T3KWfgdgqlDNtTatmTY0zFW3ozxq2NxVfD9KPrQAIkbHT/bKJV/xH6WHphF4HWU7VWg21q9NUuRzSJYhWaYtn2kop+k+jTyluZwUfgMIMadp6p6jemn2hnV62/mFTKOXuu7tpuy9uUop9Mm0nbLsVLn9eTKNAq6BAZRKnLRPhl18sWIclBNK/jYMSwn2XhVYzeWzmsk0cmXIJ5/h1PIMUztO/1qDOl5Rz5ED4ZGWbkq7deB7FkuSIaOS71oMGeq+M1eF/obcPgmIAhFdoJCXlydJSkpKCliXmFg83WN+fn6l21dXnCAVz7IgSf/73/80duxYXX/99Vq+fLmef/55XXjhhXrzzTeVmZlZGkvJ85aVkJCg3bt3V/+Caqhhw+Rq2zgcZo3bIjzaNMqTw/bKVskJpiHZgfuPbUsOedWmEe9npIq3463q15msq6+Yo337d+qJWQvVY+eJyvCZ2pohJRcVnxIWOqX9iVKTQinRKzlsSZYll1Uo27CKP5up4jshW5J7cYFSzm4iI86/PIq3fS9c6OfIEsvvA/tascr6wfbZ8i7OUfGXkKp6rLAlmR4lerwqcjvltAwVuqRfmkrrm0gphZJPxWPShgaSbZpKSk5X9ikJMiNkbGF/iEzheD/ifV+wiix5t+yQbQd+UF/swHWUXZwaEvwFcvqTlZtoSIa03+FXu+NM9RvQNGKO79qI9/1Aog+k6HjtvE9/+FPj7rq6W1fN3/CL3v/v7zrJdbgSfIaa5koN8iwl+QtlqwbXwHbNroHp+/CKl/53OMyYf43h4s/3y5dT9rPiitm2ZMorj9Ov3GSH/Ga6/Ia0MNOjfhfuVf9mp9ZbzLEsXo7paHPw+9G8e5HM1b6DvmeRKvqupeR7lpTNTiV0q5vbabOf1A36sW7EWj9GdIGCZZVUE1Y+YpuH+OuI7OxsXX/99TrllFN0xBFHSJIGDx6sbt26aezYsXr22Wd13333VRvLocaB2HPk+sIqTzZLlLQ5cn2hJKrlER0aZmTqvmtGate+fZrw38+Vs6+lDitqrOa+hpItZXilJL+U7Clun+DzFM8mUpNjQpL2W7LXFso4MrBADQAQm+x1RdJ+f83GCkOSbJnyy+m3ZNoO5bsky5T2OqXfUhXwOJ27OKP6y0sgVllf5BffIKy6w7O4HkGGbcmwvPo9xa0vGxXo0fPTlJwQ0R9tAIhhTtPU4MPb67jLvbprxgYdt6e5nH6pSW4Q18CGuAYG4oD11r6gPitO8ucrx5mmIre0PsnSkMscatsoO7RBAhGmZ1eXtr4c3LFjfZ4rdWsU2sAAHLKIvopPSSn+sragoCBgXWFhYbk2tdWhQwd16NAhYPmJJ56oFi1aaPHixeWep7CwUMnJ5atTioqKDjmOsnJyKp8VokRJhUxN2iI83Hk+BTOTkJXn4/2MUMEeb02bpoUynJALJgfZHlPjTzpBuR6v7v5htawNDrX0pmuvW8pzFBcoNJRk2sHfTzN3e4H8mfF9H05yff2ItX6OhxwUrWJtX6utyvrBsd2jwLmmqmPLsKVcl/RLmlToOPjXSMU/WTysua3D23iUk+OpfeB1LFb3B3JQ8GJ1X6gp17ZCBfv7pv1uW7809OneU9wqyveoKD9yju3aivf9QKqbPiAHhR77auXuPKWpZrxbpBRPgo7cXvfXwPR9eNW0/6M9D/n9FvtYiLi3e+QKor1p27INaY/bVofzvGpouHhv6lCs5tRoz0EVvh9uSwr8irBS/v3eOntfY3U/qW/0Y92Ihn4MJgdF9M/+W7RoIUnasWNHwLrt27dLkrKyskL2/I0aNSq9hUTz5s3LPe/BsWRmZoYsDkQnu1lwh1ew7YFIkup26fHjOuuaM5JktNwnr2HLckhLm0heU/LXpMz1IHYSxwQAxBM7qTazGxjymLY+OUzanSDZBz1EYqLUuaulfgNsMeEZEJnstOAPzu0NDY0dYSrRyawoACJHstuhy850aVMzSx6Ta2AA5dkNgjvGLcPQrxm2jrzc1mEZwZQ2ALGlwRF8zwLEoog+UtPS0tSqVSstW7YsYN2yZcvUrFkzNW3a9JCe49///rcGDRqknJyccst9Pp9+//13tWzZUpLUuXPn0ucta9u2bdqxY4e6du16SHEg9nhPSZRtH7hHchVK2nhPCf43g0CkSXY7dO6AVJ07ylbyEZb2JthalyF5nG7ZtlF8PNTgmLBSDVmtufgCgHhitXbKSjFrPFbYtiFLDi3KNtXiCEvH97XUb5ClASdZ6nu8pRMHWTr1TFtHdRHFCUAE8/Vxy5ZR7XWTDlw3eUxTfS50yBXR80ECiFcup3TBqdIvXZ1cAwMoxzs8uM+Kl7dL1LGX20rkzi+Ic/5T+Z4FiEUR/1Hd8OHDtWTJEi1fvrx02erVq7V48WKddtpph/z4zZs316ZNm/Taa6+VWz5t2jTt3btXZ5xxhiTpmGOOUVZWlmbMmCGfz1fabvr06TIMo05iQYxJcshq6CozzbAtmXmSua/4vweuUA1Dshq6pKRgbggBRDaXUxp+rDT6HFup51ra19yQ10yUIbPae3AahuTrmyzV5D7hfkuOX/fIsXyHHL/ukfxWncQPAAgtu6L87TDk65dU47FCllt5mS4NuFw67RipfbaUnSU1aya1zJYysyhMACLSwce/QzI7JFd/X1lDMmTKHpQkVwIzJwCIXA5TOuJcU97UWlwDc40LxI6Dj2e3cdBnxRUzDMnvcunIyynIBCRV8D1LWX9852I48mRlOPmeBYgSET/EjRkzRnPmzNGYMWN05ZVXyjRNTZ06VVlZWRozZowkaefOnfryyy/VqlUrHX300UE9/siRI/Wf//xHkydP1qZNm9SlSxf9+OOPmjNnjo4//nidc845kiTTNDV+/Hj9+c9/1hVXXKHTTz9dS5cu1euvv64LLrhA7du3r/PXjuhXeHO6kh/aLcPYLjl3yTD+KG6xbafkayzbzlThzelhjBIIHYcptTtMsq+yVTA/SY7/euWwvZJhl9wW/A8H/vZ1cMk7MLnqB/Zbci3cINc3m2TmeQ5sbMtym/J1ypTn1A6SO+KHOACIP35Lvg/WyJ7/i5IKvAcWGrKSnPL2zpb3hGyZv3vlXFVU5VhhW055myTJvMWUwY8Ngejgt+T64ne5Fv8us6jkusiQleKW0b+17I1JUr6v0uNetiHfEW75BvGLKACRz3BInjuS5PybV6avBtfAAxLlmv+bXF9vlJlfco0rWYlOeY9rJe8JrcLwKgDUit+S6/Pf5Pr6N5mekiIjQ1Zqgry9DpP5aaoMy5Ztq9wXriV/24apwjvTZfAdK1Cq+HuWHBmWdeBYsSXHTsm5+8B3LsXjpimnXJ8dGDcd/GIBiGRh+famd+/eNW6bkZGhGTNm6OGHH9ZTTz0lt9ut3r17a9y4cWrUqJEkad26dRo3bpzOPvvsoAsUnE6npkyZokmTJumjjz7S22+/rWbNmun666/XNddcI7PMz65OPfVUGYahp59+Wg899JCysrJ00003aezYsUE9J+KI25DVYZOc63fJlnVQ1bxfhmur/G28krtxuCIE6oXhkJyDTBX0TVfCs/lybimUofK/BLGdhrwnJsk7OKXq2RP8lhJnLpNzzYHjSlbxhz2STK9f7p82yfXzZnmOby3viW05GQWASOHxKenZb2Xvyi0+JyqT6s1CvxLmr5Nz6VYVXNVT1kKnnF/kl/lAr5gtyTYT5B2YLN/JThk1mW0HQPh5fEp65hs5ducFHP9Gnl/2R6tkHJkl796WcqwvCvixsW2axeeJQ2o4yxYARAAjyVTBX9KV8GK+HL9WcQ08MEmJry+Tc+3OA58d/TGHtVnkV8L8NXL+vFnWXQNlUogPRLYCj5InLyouNCp7zmNLRq6lhIXr5evUWNrYUuYeX8Dm/gyXCm9Ol8EvwIHykhzKv6+hEiftk5njkVy/y3DsDxw3PX+MmwXX9uYHbEAEM2y72js9Vio/P19FRUVq2LChJOmbb77RN998U66NaZq68sorlZjIrxxqaseO/dW2adiw+NfFOTn5oQ4Hh8D1ya9KWLD2wC9+bMmw9MdP/8wDZbFS0YD28g5uE+ZoUZlgj7emTdNCGU7I1UsO8lhyfuWRudEnuSVfd6es9gk1+sDZNf83JXz2qyT/gWOqcr52jeTtly0V+aQkt/zZjaKqYIFcXz9irZ/jIQdFq1jb14Li8SnpiYVy7C+QbEMyTAXMd2xLMkz5G6Wo4LrekgyZv3jl+NUrY48tu4FD/jZuWe3MmPiCMlb3B3JQ8GJ1Xyjlt5T01KLi4gSVuR7SQXnANlV0Yjt5+7eSc1HxeaLtkvzdXbLau2PiuK9KzO8HNVAXfUAOCj321Vqq4hrY9dl6JcxfV8n1ra3S3JmRLMfdJ2tvnqeeg4dU830/2vOQz+fn+K6tAo9S/u9zGT5/4DVP6YxQkuRU0Ult5e3dUq4PC5VQYEgZDuWexNT09SlWx7Noz0E1ORdyffSLEr769aBxs8x4eeBao/izhb6H9FlwrO4n9Y1+rBvR0I/B5KBalQ95PB499thjeu2113TJJZfotttuk1RcoPDEE0+Ua2sYhvbt26c777yzNk8FRC+/JddXvx6o4PNJpjdwKj/bJRlOub76Vd6Bh0fVF6fAIXGb8g2sReGa35Lrm02yZRdP5VWp4uPO+ctGOX/dWLrUSkmQt1cbefsfwfEGAPXBb8n15Rq5v1ojw+sv/j5S+uM8SE6VniAZxSscu/PlWrBe3oFtZR3hlnWEOxyRA6gjrvm/yLF7r2RUcj1UkgcMW65Fv8t7Qiv5TuQHDgBiTGXXwH5LrkW/l/v1Z7EDnyWVzZ37PPLf/5ZcfdtzTQtEkpJrngWrZVhWxdc8xh/XPLZtyfXtJnmPz5b37BSlHvjCSRH8hRMQMfyWXN9tLDNuVjBeHljs2O2Ta/4v8g7i9uxAJKrVmez111+vqVOnqkmTJmrdunW5dYZh6IknntATTzyhxx9/XFlZWXr11Ve1bdu2uogXiBqOX3Jk+n2SUVRcnFB8Vlr+n+mVjCKZfp8cv+SENV4gGjh+3yczz1M8NWalEwDZpcedfdByI69QCfNXKGnaAskTOJUeAKAO+S0lzvpaCfNXSN6Se0KWycwHzoPKLZMt2bbcX2+U/FXPkgMgCnh8cn+5UjJL7qdeRR6wbZkerxzr94YnVgAIA8f6vTI93oOub+0ynyUd+Lvkn8erhPkrlPjGN5wrAZGg7DWP369qr3lsyZAlM7dIjt/3hSFgILqVHzerGC9lS6ZH7q9W8RkwEKGCLlD48MMPtWDBAp1xxhn64IMPdM455wS0GTJkiIYMGaKhQ4fqnnvukdfr1RtvvFEnAQPRwrFsq2T4JMMvyTow5VCZfyV/G37J8BW3B1C1ggMnnAfdu7g8X+kUX8aBX+OWHHfGgf86Nu1SymP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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# corrPlot() with subselections (two levels)\n", "# NOTE: with hue mapping for a continuous range this can be quite slow (minutes).\n", "data.corrPlot(dataType = 'C', level = 'redchiGroup', sel = 'pc', selLevel = 'Type', hue = 'redchi') # Check pair correlations including redchi \n", "# data.corrPlot(dataType = 'C', level = 'redchiGroup', sel = 'pc', selLevel = 'Type', hue = 'Fit') # Check pair correlations including Fit #" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here a few things are clearer - in particular the relative phases seem to be well-behaved, with a fairly small scatter, and the (1D) minima of the fitting hyperspace are visible in the $\\chi^2$ plots (bottom row)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Best values and statistics\n", "\n", "To get a final parameter set and associated statistics, based on a subset of the fit results, the `paramsReport()` method is available. In this case, it will provide summary statistics corresponding to the `corrPlot()` above." ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Mask not set for dataType = None.\n", "Set parameter stats to self.paramsSummary.\n" ] }, { "data": { "text/html": [ "
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Typemppc
ParamAgg
PU_SG_PU_1_1_n1_1min1.605239e+00-0.8831760.000000
mean1.613850e+00-0.8593820.000000
median1.613657e+00-0.8609400.000000
max1.625738e+00-0.7389830.000000
std2.084992e-030.0140590.000000
var4.347190e-060.0001980.000000
PU_SG_PU_1_n1_1_1min1.601543e+00-0.8610410.000019
mean1.613570e+00-0.8610410.005372
median1.613690e+00-0.8610410.002132
max1.627827e+00-0.8610410.122059
std2.202383e-030.0000000.013093
var4.850490e-060.0000000.000171
PU_SG_PU_3_1_n1_1min1.124479e+00-2.9313282.007461
mean1.142652e+000.1441382.058870
median1.142526e+001.1969192.058890
max1.174468e+001.2664992.091134
std3.045999e-031.8007110.005289
var9.278107e-063.2425610.000028
PU_SG_PU_3_n1_1_1min1.124041e+00-2.9277441.984783
mean1.142349e+000.1434982.058926
median1.142249e+001.1967772.058825
max1.172665e+001.2438222.154092
std3.032450e-031.8011160.009501
var9.195751e-063.2440170.000090
SU_SG_SU_1_0_0_1min2.652285e+002.1161672.933528
mean2.652524e+002.3567592.986923
median2.652526e+002.4342592.986913
max2.653001e+002.4932623.048962
std4.240577e-050.1345500.006770
var1.798250e-090.0181040.000046
SU_SG_SU_3_0_0_1min1.142825e+00-1.0255580.105030
mean1.143807e+00-0.7851260.154275
median1.143806e+00-0.7080640.154106
max1.144052e+00-0.6359320.222062
std7.751534e-050.1342630.006839
var6.008628e-090.0180270.000047
\n", "
" ], "text/plain": [ "Type m p pc\n", "Param Agg \n", "PU_SG_PU_1_1_n1_1 min 1.605239e+00 -0.883176 0.000000\n", " mean 1.613850e+00 -0.859382 0.000000\n", " median 1.613657e+00 -0.860940 0.000000\n", " max 1.625738e+00 -0.738983 0.000000\n", " std 2.084992e-03 0.014059 0.000000\n", " var 4.347190e-06 0.000198 0.000000\n", "PU_SG_PU_1_n1_1_1 min 1.601543e+00 -0.861041 0.000019\n", " mean 1.613570e+00 -0.861041 0.005372\n", " median 1.613690e+00 -0.861041 0.002132\n", " max 1.627827e+00 -0.861041 0.122059\n", " std 2.202383e-03 0.000000 0.013093\n", " var 4.850490e-06 0.000000 0.000171\n", "PU_SG_PU_3_1_n1_1 min 1.124479e+00 -2.931328 2.007461\n", " mean 1.142652e+00 0.144138 2.058870\n", " median 1.142526e+00 1.196919 2.058890\n", " max 1.174468e+00 1.266499 2.091134\n", " std 3.045999e-03 1.800711 0.005289\n", " var 9.278107e-06 3.242561 0.000028\n", "PU_SG_PU_3_n1_1_1 min 1.124041e+00 -2.927744 1.984783\n", " mean 1.142349e+00 0.143498 2.058926\n", " median 1.142249e+00 1.196777 2.058825\n", " max 1.172665e+00 1.243822 2.154092\n", " std 3.032450e-03 1.801116 0.009501\n", " var 9.195751e-06 3.244017 0.000090\n", "SU_SG_SU_1_0_0_1 min 2.652285e+00 2.116167 2.933528\n", " mean 2.652524e+00 2.356759 2.986923\n", " median 2.652526e+00 2.434259 2.986913\n", " max 2.653001e+00 2.493262 3.048962\n", " std 4.240577e-05 0.134550 0.006770\n", " var 1.798250e-09 0.018104 0.000046\n", "SU_SG_SU_3_0_0_1 min 1.142825e+00 -1.025558 0.105030\n", " mean 1.143807e+00 -0.785126 0.154275\n", " median 1.143806e+00 -0.708064 0.154106\n", " max 1.144052e+00 -0.635932 0.222062\n", " std 7.751534e-05 0.134263 0.006839\n", " var 6.008628e-09 0.018027 0.000047" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Get parameter statistics.\n", "# Specify subselection criteria with a dictionary of selectors (currently uses index values only)\n", "# TODO: more general selection & groupings here.\n", "data.paramsReport(inds = {'redchiGroup':'C'})" ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Mask not set for dataType = None.\n", "Set parameter stats to self.paramsSummary.\n" ] }, { "data": { "text/html": [ "
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Typemppc
ParamAgg
PU_SG_PU_1_1_n1_1mean1.613850-0.8593820.000000
std0.0020850.0140590.000000
PU_SG_PU_1_n1_1_1mean1.613570-0.8610410.005372
std0.0022020.0000000.013093
PU_SG_PU_3_1_n1_1mean1.1426520.1441382.058870
std0.0030461.8007110.005289
PU_SG_PU_3_n1_1_1mean1.1423490.1434982.058926
std0.0030321.8011160.009501
SU_SG_SU_1_0_0_1mean2.6525242.3567592.986923
std0.0000420.1345500.006770
SU_SG_SU_3_0_0_1mean1.143807-0.7851260.154275
std0.0000780.1342630.006839
\n", "
" ], "text/plain": [ "Type m p pc\n", "Param Agg \n", "PU_SG_PU_1_1_n1_1 mean 1.613850 -0.859382 0.000000\n", " std 0.002085 0.014059 0.000000\n", "PU_SG_PU_1_n1_1_1 mean 1.613570 -0.861041 0.005372\n", " std 0.002202 0.000000 0.013093\n", "PU_SG_PU_3_1_n1_1 mean 1.142652 0.144138 2.058870\n", " std 0.003046 1.800711 0.005289\n", "PU_SG_PU_3_n1_1_1 mean 1.142349 0.143498 2.058926\n", " std 0.003032 1.801116 0.009501\n", "SU_SG_SU_1_0_0_1 mean 2.652524 2.356759 2.986923\n", " std 0.000042 0.134550 0.006770\n", "SU_SG_SU_3_0_0_1 mean 1.143807 -0.785126 0.154275\n", " std 0.000078 0.134263 0.006839" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# For more control, pass a list of aggregation functions\n", "# These are passed to Pandas.agg(), a list of common functions can be found at https://pandas.pydata.org/docs/user_guide/basics.html#descriptive-statistics\n", "data.paramsReport(inds = {'redchiGroup':'C'}, aggList = ['mean', 'std'])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Model results\n", "\n", "For each fit, the model output (AF-$\\beta_{LM}$ parameter) can also be investigated..." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Basic plotters\n", "\n", "Basic per-fit outputs using wrapped [ePSproc routines](https://epsproc.readthedocs.io)." ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Dataset: subset, AFBLM\n", "Dataset: 0, AFBLM\n", "Dataset: 50, AFBLM\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plot selected results from per-fit datasets.\n", "data.BLMfitPlot(keys = ['subset', 0, 50]) # This works, but need to add selectors? And control output." ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Plotting data (No filename), pType=a, thres=0.01, with Seaborn\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "D:\\code\\github\\ePSproc\\epsproc\\_sns_matrixMod.py:282: PendingDeprecationWarning: \n", "The label function will be deprecated in a future version. Use Tick.label1 instead.\n", " fontsize = tick.label.get_size()\n" ] }, { "data": { "image/png": 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3b6558+ZpwoQJGjJkiAoXLqxz587p008/ValSpfT8889btz169KgkqUGDBmmOk7rs2LFjevTRR23WzZ07V99++60Mw1CxYsXUpUsXjR07NlNfiGRXX6tWrarixYtr6dKlqlatmvX9ws6dO/Xbb7/p2WefVdmyZdO0MWnSJOXLl0/jxo3Tn3/+meH+3W8/73beuPP9XaqMnJPuJvV9SZEiRUzX6miEKEAu8Pfff6tfv37Wn9esWSOLxaKVK1eqVKlSGjp0qJYuXWrqhbtJkyYPslQbhmHYfTHNKqGhofr000/1wgsvZHjyx9R5OuxNwJi6/G5zntxLsWLFNH36dL3//vsaP368dXnevHn10UcfmX6TlSo7+1q1alVJt7/lvXP0gWEY8vPzkySbb3fPnj0rSRozZozq1Kmjzz//3DqJ5bvvvqvIyEi9+OKLpmq9n35mBV9fXyUkJKhXr152P3jUqVNHHTt2VMWKFRUTE6M9e/Zo+fLl2rt3r5YsWZKhIOVB9PX48ePatGmTypcvn2beGm9vbzVo0EDVqlWTq6ur/vrrL/344496/vnnNWfOnDTnhpMnT2r27Nl65513VKJEiTTXPmdEVvV11KhRNvPc1KtXTxMnTkwz10SqO0fruLq6qkOHDvrvf/9rd9tDhw7ZTDTs4eGh4cOHa/To0abry4p+fv311woPD9c777yTqf0dLTsfg6pVq2rXrl3at2+fTVu3bt2yfhC435Eo99sfDw8P9erVSw0bNpSXl5cCAwP1448/avz48QoKCrI5N6aeSz///HMVLFhQ77zzjgoUKCBfX1/NmzdPZ86c0ezZsyXdHilVqFAhnT17VteuXVOxYsWsx0kdoRMbG6vIyMg036w/iL4GBgYqKSlJx44d065duzRs2DDVrl1bAQEB+uGHH9S3b18tW7bMZkRGbGysJk6cqKeeeirDYWVCQoJWrlwpT09PPfnkkxnaV8r6829AQICOHz+uli1bytvb29Q+ixYt0rVr19SjRw+bD6Kpz4P//Oc/KleunHWC2l9++UVffvmlQkJC9MEHH5hq4377+fLLLysyMlKrV6+2GaHQqFEj/fDDDzaveakflO2Nzkh9/5G6jSQ5OTnp0UcfVbt27eTt7a2IiAjrHFcHDhzQokWL7H7Yfxj6mjdvXs2aNUtvv/22zXnKyclJY8eOtTtR7Pbt27VmzRp9//33GQ4M73Q//Uydh+nAgQNpAtbUiXzvnHMnI+ek9ERHR2v27NlydXW1maj/YUeIAuQC4eHhNidvPz8/NWrUyPrtWps2bfTNN984qrx0NWrU6IEO3Xv//ffl5eVlHTqcEXFxcZKU7miQPHnyWLfJrIIFC6py5cpq2rSpmjdvrri4OPn6+urdd9+VpAwFKdnZ127duum7777T4sWLVbx4cXXo0EG3bt3S/PnzrROY3Xm5Tuow44oVK+q7776zvih36NBB7dq104wZM9SnTx+73/5nZT+zwtKlS+Xi4pLm8oBUqd98purWrZvq1q2rDz74QNOnT7c7mWt6srqvV69e1ZgxY+Tk5KSpU6emGVI7ZcoUm587dOigJ598Ur169dJ7772n33//3bouOTlZb7/9turWrWvz7VtmZVVfJ0yYoJs3b+r69evas2ePzp07p8jIyHS3nzdvnpKTk3XlyhWtXbtWCQkJiomJsfttWPXq1TVv3jwlJCTowoUL8vX1VUxMjBISEtLcvSo999vPP//8UwsWLNB///tfFS9ePFPHcLTsfAz69u2rX3/9Vd98843y58+vxx57zDqBburEufd7aeH99uefd9ORbo+c6N69u7755ht17drV+gEz9VyakJCgxYsXW8PBp556SgMGDNDOnTu1e/duNW/eXBaLRUOGDNHnn3+uUaNG6Y033pC3t7eOHj2qjz/+WK6urkpMTMzQ69j99DV1iP+NGzf00UcfWUeHpH5AfvvttzV9+nR9/vnn1n2++OILRUdH6z//+U+G29u8ebPCwsI0YMCATE1UmdXn39TLQO1NOm7P/v379cknn6hMmTJ68803bdalPg8KFCigH3/80fra3blzZ3Xu3FlLlizR4MGDTU2afL/9dHV1VZkyZVS3bl117txZJUuW1MmTJzV37ly9+OKLmjt3rjWkS/1bs/deI/V3dOffY+nSpdOMju7Zs6c+/fRTzZkzRz/99JOGDx9uutbs7Kt0OyCtWLGiKleurDZt2shisWjjxo36+uuvlZycbDOBeXR0tN5991116dJFjz/+eKbqy4p+VqtWTS1atNCuXbv05ptv6oUXXrBOLJv6/ubOc0ZGzkn2JCUlafz48QoODtZbb71l97K2hxVzogC5gLu7u/UNYXJyso4cOWJzDbSLi8t9f+B/EF5//XX9/vvv2rBhQ5Yfe+3atdqyZYs++OCDTN0yLXWf1KGN/5SQkHBft2I7efKk+vbtqypVqujDDz9Up06d1L17d82dO1f169fXhx9+qOvXr5s6Vnb31dPTU/PmzVO1atX02WefqUOHDurWrZv+/vtvvf7665Jkc4eF1H179Ohh861GwYIF1aZNG926dUuHDx9+4P28X4cOHdKZM2fUpk2bDI0o6du3rwoXLmwdgm1GVvf12rVrGjx4sK5du6Yvv/xS9erVM7VfjRo11KZNG509e1aXLl2yLp8zZ45OnTqlDz/8MNN390iVlX2tXbu2mjVrpq5du2rKlCnq1KmThg8frkOHDtndvlmzZmrZsqV69eplvfVj37597c6hUrBgQTVr1kxPPPGEBg8erPnz52vbtm0aN26cqdrut5+JiYl6++23Vb9+fdMfxB422f0YlCtXTj/88IOKFSumiRMnql27durVq5cSEhKsIzzudkvde3lQ5yR3d3e98MILSkxM1O7du63LU9to3bp1mtFV3bt3l3T79sGphg8frrFjx+rMmTMaMGCA2rRpowkTJqhv377Wb6jN9j+rXmecnJzS3H63W7ducnZ2to6QkW7fQWvRokV64403MnUp5P1cypPVv9e4uDitWbNGRYsWveut4lMdPHhQI0aMUOHChdN8MJf+91h27tzZJpBwdXVVly5dZBiGqdv/ZkU/33jjDc2bN09ff/21+vXrp7Zt22r06NGaNm2ajh8/rpkzZ1q3TR01Yu+9Ruo8VGZGlowaNUoWiyXbX1Mz0tfQ0FDriNUvvvhCXbp0UefOnfX111/r6aef1rfffquTJ09at//0008VFxent99+O1O1ZWU/v/zySz311FPy9fVVt27d1KFDB82fP1+TJk2SZP/9ndlz0p2SkpL02muvaceOHRo2bJjdQPlhxkgUIBeoWrWqfH191b17d61bt06xsbE2w9RDQkLszn/gaFWqVNGkSZM0ZswYFStWzO4kiBaLRQsWLMjQcRMSEvTRRx+pRYsW8vb2VmBgoM36uLg4BQYGqkCBAum+OUv95i+92+9euXIl3ctfzFiwYIESEhLUqVMnm+UWi0UdO3bUwYMHdeTIEbVr1+6ux3FUX6tWrarly5fr0qVLunLligoXLqzKlStr0aJFkmQziV/q5UD22k8dYn630QJZ1c/7tXTpUknmv0lMZbFYVLp0aZ05c8bU9lnd19DQUA0aNEhBQUH65ptvMnyrz9Sh5+Hh4SpbtqyuXr2q6dOnq2vXrnJ1dbXWlzoMOzo6WoGBgSpYsOA9LxN40L/X7t2765NPPtGSJUvSnRfln9tv27ZNmzdvTne0UarUEHDRokUKCgqyTmJrT1b0c9GiRTp9+rRmzJhhc6vi1L+dq1evKjAwUKVLlzY9wXV2ctRj0KhRI+vk1mFhYSpZsqTKli1rvQVtZiccfdDP3dS/u9R5e6T/navvvDQnlb1zqcVi0ZgxYzRs2DCdOnVKSUlJqlq1qjw8PPTjjz+qePHipkKUrOhr6shYT0/PNCMRXFxcVKhQIZva//vf/6pKlSpq3LixTXtJSUkyDEOBgYFyc3Oze2lIUFCQ9uzZo/r169udZ+VB9/Wf1q1bp6ioKPXp0+eef5t+fn568cUXVbBgQS1YsEDly5dPs01Gnwf2ZEU/Q0JC9Pvvv6t169ZpamnWrJk8PT1twpzU39Wdl+ykSn3/Ye/3+U/u7u7y8vKy+du4G0f0denSpYqIiEjzHk+SOnXqpNWrV2v//v2qXr26jh8/riVLlmjkyJGKjo62jtpKfZwiIyMVGBioIkWK3PXvNaueu56envryyy81ceJEnTt3Tnnz5lX16tWtx7tzhFNmn4uJiYl67bXXtGHDBr300kt69dVX063nYUWIAuQCQ4cO1ciRI63D5WrXrm0zEmXnzp33Pcv3g7Bjxw69/PLLSklJUUxMjM11lvcjLi5OYWFh2rVrlzp06JBm/eHDh9WhQwc9/fTT+uyzz+weo2jRoipdurROnjypuLg4m0T/ypUrunz5svUOB5lx9epVSbJ7B5TUuxUkJyff8ziO7mvZsmVtJkfbsWOHnJ2d1aJFC+uyevXqaceOHXbnHkhddq83o1nRz/sRHR2tdevWydvbO91hqelJSUlRUFCQ6TfcWdnX0NBQDRw4UJcvX9aMGTPUqlWrDNUuyfrGKbX+GzduKD4+XsuXL7d7d4/169dr/fr1GjFihM18P/Y86N9r6reb9/pAcWc9krm7+WRk+6zoZ3BwsAzD0MiRI+2uT32sN27caPeDl6M58jGwWCyqXLmyTWCyc+dOeXh4mArXHlR/7ubChQuSbD+c1K9fX5L9eVxSl9m7FM3NzU1169a1/vznn38qLCzMdCCcFX0tUqSIypQpo+DgYMXGxtrM+RAfH6+wsDCby7NCQkIUFRWljh072j1ehw4d1LBhwzR3JpRuf4A1DCNTo1AexO91yZIlslgs96xn37591hEoCxYssDvxqHT7ebB48eIMPw/ulBX9TP2Qb++9imEYSk5OtlmX+hw8fPhwmude6mjUO5+n6YmMjFR4eLh8fHzuua3kmL6mvsezt/0/3+NdvnxZhmFoxowZmjFjRprt58+fr/nz59tcBveg+nmnwoUL23wBmzry5875iTJzTkpISNArr7yiLVu2aMyYMTaXNeUkhChALtCqVSstWLBAmzdvloeHh/r3729dFxYWptKlS1uH1T1MPv/8cxUrVkwzZszI0klC8+XLp6+//truupdfflk+Pj4aPXq09RZ7UVFRunr1qgoVKmTzgtG1a1fNmjVLixcv1gsvvGBdPm/ePElKMyQ5I6pUqaJdu3bpt99+s3nTkHr7OCcnJ9WpU+eex3mY+rplyxb98ccfeuaZZ2xuX9i1a1fNnDlTS5YsUa9evazfxIWGhmrLli3y8vKyvhA/6H5m1urVq3Xr1i317Nkz3Znuw8PD7U5g+v333ysiIsL0hGlZ1dfLly9r4MCBunr1qmbNmqVmzZql22ZUVJTy589vc9tN6fYtKf/44w9Vr17d2l6ZMmXs1hcWFqb3339fjz32mJ5//nlT3/BnRV+TkpIUFRVl97FPHcV25wTWkZGRypcvX5pvw1Ov6ZZk83y8fv263QAsKChIW7ZskYeHxz37mhX97NmzZ5pb1Uq3v+Vev369Xn75ZVWqVMnuN4IPg4fpMVi4cKFOnTqlsWPHZmhiyqzuT1JSkm7dupVmPqiwsDDNnTtXefPmtfm7feSRR1SuXDlt27ZNly9fto7uSEpK0q+//ipJ95yANS4uTh9//LHy5s1rvYV9dvRVun1J57Rp07R48WINHTrUunzx4sVKSUmxqf2TTz6xe8ev999/X87OznrnnXfs/s0nJydrxYoVcnd3T3N3o+zsa6qzZ8/q0KFDatq0qcqVK5duu3v37tWIESNUvHhxLViwwOY19J9Sbz/r6+urkSNHWkcnxMTEaOXKlXJ1dbX5IuNB9bNixYpycXGRv7+/Ll26ZBP6rFu3TjExMTbvbxo3bixvb2+tX79e48aNsz5/o6OjtXTpUnl7e9tMeG7vNdUwDOu8OWZHVTqir6kTtK5cuTLN8/C3336T9L/AqE6dOnbrO3PmjKZNm6bOnTurQ4cOql279gPvZ3ouXbqkH374QZUqVbIJNjN6TkpISNC4ceO0bds2jR8/XiNGjLhruw8zQhQgl2jUqFGau21It5Pk6dOnO6Ciezt//rxeffXVLL/Liqurq90hlKmKFClis37Tpk1666230iTiw4cP14YNGzR16lQFBwerWrVqOnjwoFasWKEuXbrYXDIl3R6Gm3p3mtT/+/r6Wu8W0q1bN+sQ7UGDBsnX11eLFy/WlStX1LJlS926dUurVq3S33//rQEDBtz1TZSj+/ryyy/L09PTeicXf39/rV27VvXr108zCWC5cuU0evRoff311+rbt6+6dOmiW7du6eeff1ZcXJzef//9e36Qyap+BgcHy9fXV5Ksd5Px8/OzfvvTuHFjNW7cOM3xly5dKmdn57tO9jtz5kwdOXJEjz76qEqXLq24uDjt3r1bO3fuVKVKlUzfxSUr+hodHa0BAwbo0qVL6tWrl65du2btd6qGDRta3wju379fkydPVuvWrVW2bFm5urrq+PHj8vX1Vd68efXhhx9a9/Pw8LBbX+rj6e3tfdf6s7qvsbGxatWqldq1aycfHx8VLVpUYWFh+uOPP3To0CHVrFnTJlj28/PTxIkT1aFDB5UvX17u7u4KCQnR6tWrFRQUpOeee84mRPnuu++0Z88etWrVynrJzrlz57Ry5UrFxsZqypQp95y4Miv6Wb16dbvnytTJnJs0aZLmNWDr1q3W6+5TJ/FeuHCh9UPXgAEDbD7A//TTT9ZRNVFRUXJycrL+bXh6eto8jhnlqMegX79+qlGjhipXrqyUlBTt2rVLW7duVZs2be7rDXxWPXfbtm2rtm3bqlKlSta78yxbtkyRkZGaOHGizegMJycnffDBBxo+fLh69+6tvn37Kn/+/Fq7dq2OHz+u3r172zx3Dx48qKlTp6ply5YqUaKErl27phUrVig4OFiffPKJ6Ukcs+r8O2TIEG3cuFFTp07VhQsXVLNmTZ04cUJLly5VqVKlbLa9885vd/r000/l7Oycbj3bt29XaGionn/++Uzd4SSr+poq9TLQ5557Lt1j/vnnnxoxYoSSkpLUq1cv6/uHO7Vv397aHw8PD/3nP//RhAkT9Oyzz1pHJyxfvlyhoaEaP378PW/bnRX99PLy0qBBgzRnzhz17t1bzz//vEqWLKkTJ05o2bJl8vLy0ksvvWQ9hrOzs/773/9q5MiR6tevnwYMGCBXV1f9+uuvCg0N1cyZM22C/IkTJyo6Olr169dXqVKlFBkZqa1bt+rw4cN65JFH1Ldv37v20ZF9feaZZ/Tjjz9q+/bt6tevnzp06CDDMLRp0yb5+/urTZs21nNViRIl7NaXenlQlSpVTL2mZtVzd/bs2Tpy5IgaNGigggUL6uzZs1q6dKny5Mmjr7/+2uYLiIyek15//XVt27ZNDRs2VKlSpdK8LylXrtwDvWtnViJEAeAwxYsXt3s5y8PC3d1dP//8s7766iutX79ev/zyi7y9vfXqq6/a/QZv3759aQKr1Bn5pduJfWqIUrp0aS1btkwzZszQnj17tHPnTrm6ulonms3MMOT7kdG+1q9fXytWrNDatWuVnJys8uXLa/z48Ro0aJDdmfdHjRolb29vLVy4UF988YWcnJxUu3ZtTZ48OcOXx9yPoKCgNN/U7NmzR3v27JF0+zbM/wxRUm9N2bp167ter/3oo4/q7Nmz8vX1VXh4uJycnFSuXDmNHDlSw4YNu68JLDMqIiLCOhHs0qVLrW/k7zR58mRriFKxYkXVrl1b27dv1/Xr15WYmKjixYurW7duevHFFx/Ky0NSubm5qX///vL399fevXsVFRUlNzc3Va5cWf/3f/+nfv362Vyi5uPjo7Zt21qDv9jYWBUsWFA1a9bUa6+9luZbw9atWys0NFQbNmxQWFiYkpKSVLx4cT3xxBMaNGiQqeHnjrJx40atWLHCZtmcOXOs/+7atatNiDJ37lwFBwfbbJ/69+Lt7X1fIYqj1K9fX1u3btWyZctksVhUpUoVffDBB+rVq1e6o8qyi5ubmzp06KBjx45py5Ytio2Nlaenpxo0aKDBgweradOmafZ57LHHtGjRIk2bNk1z5sxRXFycKlasqIkTJ6pfv34225YoUUIFCxbU4sWLFRERIU9PTzVq1EhffvmlQy7xzZ8/v3766SdNnz7d+tz08vJSz549NW7cuCyZzyqjd8F5kFJvs1yoUKG7zm92+vRp66WBd96d6E5btmyxCYW6d++uQoUK6YcfftD06dOVkpIiHx8fffHFF+rcuXPWduQu3njjDVWqVEnLli3T/PnzlZCQoMKFC6tz584aM2ZMmkuSHn/8cc2dO1fffvut9a6RtWvX1ty5c9M835944gn5+vpq2bJlioiIkKurqypWrKj/+7//04ABA9K9o+CDkpG+uru769dff9XMmTP1xx9/aOrUqXJyclL58uX12muv2Yz4fdhUq1ZNW7du1ffff6+YmBjre4ERI0bYHeWXkXPSX3/9Jen2RP32Jnzv0aNHjglRLIZhGI4uAkDGvPXWWxnex2Kx6OOPP34A1WTerFmztH79ei1btsz0LUIBAAAAwFEIUYAcKDOXv1gsFp04ceIBVJN5e/fu1RdffKHExET1799fZcqUSTMngyS7l1cAAAAAQHYjRAHgMP8MgywWi83PhmE8lOEPAAAAgH8nxs8DcJjJkyc7ugQAAAAAMI2RKEAuExgYqOvXr8vHxyfNbRMBAAAAAJnn2GnJAWSZ7du3q3379urUqZP69+9vnQH7xo0bat++vTZs2ODgCgEAAAAgZyNEAXIBf39/jRo1Sh4eHho9erTuHGBWpEgReXt7a+3atQ6sEAAAAAByPkIUIBf49ttv5ePjo6VLl6a5J7skNWzYUAEBAQ6oDAAAAAByD0IUIBc4duyYunbtavf2wJJUqlQpXb9+PZurAgAAAIDchRAFyAWSkpLk5uaW7vqIiIh0AxYAAAAAgDmEKEAuUL58eR09ejTd9bt371bVqlWzsSIAAAAAyH0IUYBc4Omnn9aaNWu0ZcsW6zKLxaKUlBRNnz5d+/fvV/fu3R1XIAAA9ykoKEjVqlXTm2++6ehSAAD/Yi6OLgDA/Rs8eLB2796tMWPGyNvbWxaLRR988IFu3LihyMhItWrVSs8995yjywQAAACAHI2RKEAu4Orqqjlz5ujNN99UwYIF5ebmpuDgYJUsWVITJkzQzJkzZbFYHF0mAAAAAORoFsMwDEcXAQAAAKRn2rRpmj59ut11kydP1jPPPJPNFQEA/q24nAcAAAAPtSZNmmjgwIFauHChqlevrnbt2lnX1ahRw4GVAQD+bRiJAuQS8fHxmjdvnjZu3KjAwEBZLBaVK1dOHTp00ODBg+96C2QAAB52QUFBatu2rXr06KEpU6Y4uhwAwL8UI1GAXCAsLEyDBg3S6dOnVaBAAZUtW1aSFBgYqK+++kpr1qzRwoULVbhwYQdXCgAAAAA5FxPLArnA1KlTdfr0ab3xxhvau3evVq5cqZUrV2rv3r16/fXXdfbsWX322WeOLhMAAAAAcjRGogC5wLZt29SjRw8NHTrUZnmePHk0bNgwnT17Vlu3bnVQdQAAAACQOzASBcgF4uPjVa9evXTX161bV/Hx8dlYEQAAAADkPoQoQC5QvXp1nTlzJt31Z8+eVfXq1bOxIgAAspazs7MkKTk52cGVAAD+zQhRgFzglVde0W+//aZNmzalWbdhwwb99ttvGj9+vAMqAwAga3h6espisejy5cuOLgUA8C/GLY6BHOitt95KsywgIECnTp1ShQoVVKVKFUnSmTNndOHCBfn4+KhWrVr6+OOPs7tUAACyzHPPPaejR4+qc+fOqlixopycnNSmTRtGWwIAsg0hCpADZebNosVi0YkTJx5ANQAAZI/AwEBNnjxZhw8fVmRkpAzD0OTJk/XMM884ujQAwL8EIQoAAAAAAIA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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Per-fit strip-chart style plotting (inc. all labelled dims) with lmPlot() wrapper.\n", "# NOTE: self.lmPlotOpts will be set and is sticky. (As per epsproc-dev version 23/11/21)\n", "# data.lmPlotFit(keys = ['subset', 0, 50]) \n", "data.lmPlotFit(keys = [50]) #, xDim=['t']) " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Fit set plotters\n", "\n", "For large sets the `BLMsetPlot()` method implements Holoviews to allow for fit browsing and aggregations.\n", "\n", "For manual examples with Seaborn (not yet wrapped), see https://pemtk.readthedocs.io/en/latest/fitting/PEMtk_analysis_demo_150621-tidy.html#Model-results" ] }, { "cell_type": "code", "execution_count": 34, "metadata": {}, "outputs": [ { "data": {}, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.holoviews_exec.v0+json": "", "text/html": [ "
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\n", "" ], "text/plain": [ ":Overlay\n", " .NdOverlay.I :NdOverlay [l,m]\n", " :Spread [t] (BLM,BLM_std)\n", " .NdOverlay.II :NdOverlay [l,m]\n", " :Overlay\n", " .Curve.I :Curve [t] (BLM-ref)\n", " .Scatter.I :Scatter [t] (BLM-ref)" ] }, "metadata": { "application/vnd.holoviews_exec.v0+json": { "id": "3198" } }, "output_type": "display_data" } ], "source": [ "# The default routine aggreagates over all fits (mean + std for spread) and stacks plots\n", "# Set xDim to ensure consistent plotting\n", "data.BLMsetPlot(xDim = 't')" ] }, { "cell_type": "code", "execution_count": 35, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Mask not set for dataType = None.\n" ] }, { "data": {}, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.holoviews_exec.v0+json": "", "text/html": [ "
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\n", "" ], "text/plain": [ ":HoloMap [Fit]\n", " :NdOverlay [l,m]\n", " :Curve [t] (BLM)" ] }, "metadata": { "application/vnd.holoviews_exec.v0+json": { "id": "5323" } }, "output_type": "display_data" } ], "source": [ "# Browse a set of fits interactively.\n", "# Note this may be slow to render for large datasets (==minutes) if ref data is included.\n", "\n", "# Get indexes for a group\n", "inds = data.getFitInds(selectors = {'redchiGroup':'C'} )\n", "\n", "# HV plot without aggregation - this will automatically Holomap other dims\n", "data.BLMsetPlot(xDim = 't', sel = {'Fit':inds}, agg = False, ref = False)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Comparison of parameters/matrix elements with inputs (if known)\n", "\n", "For model data and testing the final parameter set(s) can be compared with the known inputs. This is facilitated by the `paramsCompare()` method. This compares the data in `self.paramsSummary` with `self.params`. If not set, the routine will attempt to set these from defaults (for input values this may be in `self.data['fits']['dfRef']` or will be pulled from the matrix elements in `self.data['subset']['matE']`).\n", "\n", "TODO: generalise the routine for comparison of arb pairs/sets of parameters." ] }, { "cell_type": "code", "execution_count": 36, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "self.params not set, setting ref values from self.data[subset]['matE'] without constraints.\n", "Set 6 complex matrix elements to 12 fitting params, see self.params for details.\n" ] }, { "data": { "text/html": [ "
name value initial value min max vary
m_PU_SG_PU_1_n1_1_1 1.78461575 1.784615753610107 1.0000e-04 5.00000000 True
m_PU_SG_PU_1_1_n1_1 1.78461575 1.784615753610107 1.0000e-04 5.00000000 True
m_PU_SG_PU_3_n1_1_1 0.80290495 0.802904951323892 1.0000e-04 5.00000000 True
m_PU_SG_PU_3_1_n1_1 0.80290495 0.802904951323892 1.0000e-04 5.00000000 True
m_SU_SG_SU_1_0_0_1 2.68606212 2.686062120382649 1.0000e-04 5.00000000 True
m_SU_SG_SU_3_0_0_1 1.10915311 1.109153108617096 1.0000e-04 5.00000000 True
p_PU_SG_PU_1_n1_1_1 -0.86104140 -0.8610414024232179 -3.14159265 3.14159265 False
p_PU_SG_PU_1_1_n1_1 -0.86104140 -0.8610414024232179 -3.14159265 3.14159265 True
p_PU_SG_PU_3_n1_1_1 -3.12044446 -3.1204444620772467 -3.14159265 3.14159265 True
p_PU_SG_PU_3_1_n1_1 -3.12044446 -3.1204444620772467 -3.14159265 3.14159265 True
p_SU_SG_SU_1_0_0_1 2.61122920 2.611229196458127 -3.14159265 3.14159265 True
p_SU_SG_SU_3_0_0_1 -0.07867828 -0.07867827542158025 -3.14159265 3.14159265 True
" ], "text/plain": [ "Parameters([('m_PU_SG_PU_1_n1_1_1',\n", " ),\n", " ('m_PU_SG_PU_1_1_n1_1',\n", " ),\n", " ('m_PU_SG_PU_3_n1_1_1',\n", " ),\n", " ('m_PU_SG_PU_3_1_n1_1',\n", " ),\n", " ('m_SU_SG_SU_1_0_0_1',\n", " ),\n", " ('m_SU_SG_SU_3_0_0_1',\n", " ),\n", " ('p_PU_SG_PU_1_n1_1_1',\n", " ),\n", " ('p_PU_SG_PU_1_1_n1_1',\n", " ),\n", " ('p_PU_SG_PU_3_n1_1_1',\n", " ),\n", " ('p_PU_SG_PU_3_1_n1_1',\n", " ),\n", " ('p_SU_SG_SU_1_0_0_1',\n", " ),\n", " ('p_SU_SG_SU_3_0_0_1',\n", " )])" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Setting wide-form data self.[fits][dfWide] from self.[fits][dfLong] (as pivot table).\n", "*** Warning: found MultiIndex for DataFrame data.index - checkDims doesn't yet support Pandas MultiIndex.\n", "*** Warning: found MultiIndex for DataFrame data.index - checkDims doesn't yet support Pandas MultiIndex.\n", "Index(es) = ['Fit', 'Type'], cols = value\n", "Set ref param = PU_SG_PU_1_1_n1_1\n" ] }, { "data": { "text/html": [ "
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ParamPU_SG_PU_1_1_n1_1PU_SG_PU_1_n1_1_1PU_SG_PU_3_1_n1_1PU_SG_PU_3_n1_1_1SU_SG_SU_1_0_0_1SU_SG_SU_3_0_0_1
FitType
refm1.7846161.7846160.8029050.8029052.6860621.109153
p-0.861041-0.861041-3.120444-3.1204442.611229-0.078678
pc0.0000000.000000-2.259403-2.259403-2.8109150.782363
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" ], "text/plain": [ "Param PU_SG_PU_1_1_n1_1 PU_SG_PU_1_n1_1_1 PU_SG_PU_3_1_n1_1 \\\n", "Fit Type \n", "ref m 1.784616 1.784616 0.802905 \n", " p -0.861041 -0.861041 -3.120444 \n", " pc 0.000000 0.000000 -2.259403 \n", "\n", "Param PU_SG_PU_3_n1_1_1 SU_SG_SU_1_0_0_1 SU_SG_SU_3_0_0_1 \n", "Fit Type \n", "ref m 0.802905 2.686062 1.109153 \n", " p -3.120444 2.611229 -0.078678 \n", " pc -2.259403 -2.810915 0.782363 " ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\femtolab\\.conda\\envs\\ePSdev\\lib\\site-packages\\IPython\\core\\interactiveshell.py:2886: PerformanceWarning: indexing past lexsort depth may impact performance.\n", " return runner(coro)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Set parameter comparison to self.paramsSummaryComp.\n" ] }, { "data": { "text/html": [ "
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ParamPU_SG_PU_1_1_n1_1PU_SG_PU_1_n1_1_1PU_SG_PU_3_1_n1_1PU_SG_PU_3_n1_1_1SU_SG_SU_1_0_0_1SU_SG_SU_3_0_0_1
TypeSourcedType
mmeannum1.6138501.613570e+001.1426521.1423492.6525241.143807
refnum1.7846161.784616e+000.8029050.8029052.6860621.109153
diff%10.5812601.060047e+0129.73320929.7145461.2643933.029722
num-0.170766-1.710460e-010.3397470.339444-0.0335380.034654
std%0.1291941.364913e-010.2665730.2654570.0015990.006777
num0.0020852.202383e-030.0030460.0030320.0000420.000078
diff/std%8190.2324687.766406e+0311153.88391111193.71336979089.05012644706.225465
pmeannum-0.859382-8.610414e-010.1441380.1434982.356759-0.785126
refnum-0.861041-8.610414e-01-3.120444-3.1204442.611229-0.078678
diff%0.1930904.512885e-132264.8933042274.55814010.79748189.978902
num0.0016593.885781e-153.2645833.263942-0.254471-0.706448
std%1.6359400.000000e+001249.2924941255.1514915.70913317.100819
num0.0140590.000000e+001.8007111.8011160.1345500.134263
diff/std%11.802998inf181.294078181.217818189.126456526.167201
pcmeannum0.0000005.372290e-032.0588702.0589262.9869230.154275
refnum0.0000000.000000e+00-2.259403-2.259403-2.8109150.782363
diff%NaN1.000000e+02209.739951209.736965194.107385407.123575
num0.0000005.372290e-034.3182734.3183295.797837-0.628088
std%NaN2.437070e+020.2568780.4614700.2266414.433055
num0.0000001.309265e-020.0052890.0095010.0067700.006839
diff/std%NaN4.103288e+0181649.66201445449.76217585645.3823799183.815020
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" ], "text/plain": [ "Param PU_SG_PU_1_1_n1_1 PU_SG_PU_1_n1_1_1 PU_SG_PU_3_1_n1_1 \\\n", "Type Source dType \n", "m mean num 1.613850 1.613570e+00 1.142652 \n", " ref num 1.784616 1.784616e+00 0.802905 \n", " diff % 10.581260 1.060047e+01 29.733209 \n", " num -0.170766 -1.710460e-01 0.339747 \n", " std % 0.129194 1.364913e-01 0.266573 \n", " num 0.002085 2.202383e-03 0.003046 \n", " diff/std % 8190.232468 7.766406e+03 11153.883911 \n", "p mean num -0.859382 -8.610414e-01 0.144138 \n", " ref num -0.861041 -8.610414e-01 -3.120444 \n", " diff % 0.193090 4.512885e-13 2264.893304 \n", " num 0.001659 3.885781e-15 3.264583 \n", " std % 1.635940 0.000000e+00 1249.292494 \n", " num 0.014059 0.000000e+00 1.800711 \n", " diff/std % 11.802998 inf 181.294078 \n", "pc mean num 0.000000 5.372290e-03 2.058870 \n", " ref num 0.000000 0.000000e+00 -2.259403 \n", " diff % NaN 1.000000e+02 209.739951 \n", " num 0.000000 5.372290e-03 4.318273 \n", " std % NaN 2.437070e+02 0.256878 \n", " num 0.000000 1.309265e-02 0.005289 \n", " diff/std % NaN 4.103288e+01 81649.662014 \n", "\n", "Param PU_SG_PU_3_n1_1_1 SU_SG_SU_1_0_0_1 SU_SG_SU_3_0_0_1 \n", "Type Source dType \n", "m mean num 1.142349 2.652524 1.143807 \n", " ref num 0.802905 2.686062 1.109153 \n", " diff % 29.714546 1.264393 3.029722 \n", " num 0.339444 -0.033538 0.034654 \n", " std % 0.265457 0.001599 0.006777 \n", " num 0.003032 0.000042 0.000078 \n", " diff/std % 11193.713369 79089.050126 44706.225465 \n", "p mean num 0.143498 2.356759 -0.785126 \n", " ref num -3.120444 2.611229 -0.078678 \n", " diff % 2274.558140 10.797481 89.978902 \n", " num 3.263942 -0.254471 -0.706448 \n", " std % 1255.151491 5.709133 17.100819 \n", " num 1.801116 0.134550 0.134263 \n", " diff/std % 181.217818 189.126456 526.167201 \n", "pc mean num 2.058926 2.986923 0.154275 \n", " ref num -2.259403 -2.810915 0.782363 \n", " diff % 209.736965 194.107385 407.123575 \n", " num 4.318329 5.797837 -0.628088 \n", " std % 0.461470 0.226641 4.433055 \n", " num 0.009501 0.006770 0.006839 \n", " diff/std % 45449.762175 85645.382379 9183.815020 " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Run with defaults.\n", "# Note this will produce extra output if setting self.params, as in this example\n", "data.paramsCompare()" ] }, { "cell_type": "code", "execution_count": 37, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Setting wide-form data self.[fits][dfWide] from self.[fits][dfLong] (as pivot table).\n", "*** Warning: found MultiIndex for DataFrame data.index - checkDims doesn't yet support Pandas MultiIndex.\n", "*** Warning: found MultiIndex for DataFrame data.index - checkDims doesn't yet support Pandas MultiIndex.\n", "Index(es) = ['Fit', 'Type'], cols = value\n", "Set ref param = PU_SG_PU_1_1_n1_1\n" ] }, { "data": { "text/html": [ "
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ParamPU_SG_PU_1_1_n1_1PU_SG_PU_1_n1_1_1PU_SG_PU_3_1_n1_1PU_SG_PU_3_n1_1_1SU_SG_SU_1_0_0_1SU_SG_SU_3_0_0_1
FitType
refm1.7846161.7846160.8029050.8029052.6860621.109153
p-0.861041-0.861041-3.120444-3.1204442.611229-0.078678
pc0.0000000.0000002.2594032.2594032.8109150.782363
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" ], "text/plain": [ "Param PU_SG_PU_1_1_n1_1 PU_SG_PU_1_n1_1_1 PU_SG_PU_3_1_n1_1 \\\n", "Fit Type \n", "ref m 1.784616 1.784616 0.802905 \n", " p -0.861041 -0.861041 -3.120444 \n", " pc 0.000000 0.000000 2.259403 \n", "\n", "Param PU_SG_PU_3_n1_1_1 SU_SG_SU_1_0_0_1 SU_SG_SU_3_0_0_1 \n", "Fit Type \n", "ref m 0.802905 2.686062 1.109153 \n", " p -3.120444 2.611229 -0.078678 \n", " pc 2.259403 2.810915 0.782363 " ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\femtolab\\.conda\\envs\\ePSdev\\lib\\site-packages\\IPython\\core\\interactiveshell.py:2886: PerformanceWarning: indexing past lexsort depth may impact performance.\n", " return runner(coro)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Set parameter comparison to self.paramsSummaryComp.\n" ] }, { "data": { "text/html": [ "
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ParamPU_SG_PU_1_1_n1_1PU_SG_PU_1_n1_1_1PU_SG_PU_3_1_n1_1PU_SG_PU_3_n1_1_1SU_SG_SU_1_0_0_1SU_SG_SU_3_0_0_1
TypeSourcedType
mmeannum1.6138501.613570e+001.1426521.1423492.6525241.143807
refnum1.7846161.784616e+000.8029050.8029052.6860621.109153
diff%10.5812601.060047e+0129.73320929.7145461.2643933.029722
num-0.170766-1.710460e-010.3397470.339444-0.0335380.034654
std%0.1291941.364913e-010.2665730.2654570.0015990.006777
num0.0020852.202383e-030.0030460.0030320.0000420.000078
diff/std%8190.2324687.766406e+0311153.88391111193.71336979089.05012644706.225465
pmeannum-0.859382-8.610414e-010.1441380.1434982.356759-0.785126
refnum-0.861041-8.610414e-01-3.120444-3.1204442.611229-0.078678
diff%0.1930904.512885e-132264.8933042274.55814010.79748189.978902
num0.0016593.885781e-153.2645833.263942-0.254471-0.706448
std%1.6359400.000000e+001249.2924941255.1514915.70913317.100819
num0.0140590.000000e+001.8007111.8011160.1345500.134263
diff/std%11.802998inf181.294078181.217818189.126456526.167201
pcmeannum0.0000005.372290e-032.0588702.0589262.9869230.154275
refnum0.0000000.000000e+002.2594032.2594032.8109150.782363
diff%NaN1.000000e+029.7399519.7369655.892615407.123575
num0.0000005.372290e-03-0.200533-0.2004770.176008-0.628088
std%NaN2.437070e+020.2568780.4614700.2266414.433055
num0.0000001.309265e-020.0052890.0095010.0067700.006839
diff/std%NaN4.103288e+013791.6652172109.9891642599.9799089183.815020
\n", "
" ], "text/plain": [ "Param PU_SG_PU_1_1_n1_1 PU_SG_PU_1_n1_1_1 PU_SG_PU_3_1_n1_1 \\\n", "Type Source dType \n", "m mean num 1.613850 1.613570e+00 1.142652 \n", " ref num 1.784616 1.784616e+00 0.802905 \n", " diff % 10.581260 1.060047e+01 29.733209 \n", " num -0.170766 -1.710460e-01 0.339747 \n", " std % 0.129194 1.364913e-01 0.266573 \n", " num 0.002085 2.202383e-03 0.003046 \n", " diff/std % 8190.232468 7.766406e+03 11153.883911 \n", "p mean num -0.859382 -8.610414e-01 0.144138 \n", " ref num -0.861041 -8.610414e-01 -3.120444 \n", " diff % 0.193090 4.512885e-13 2264.893304 \n", " num 0.001659 3.885781e-15 3.264583 \n", " std % 1.635940 0.000000e+00 1249.292494 \n", " num 0.014059 0.000000e+00 1.800711 \n", " diff/std % 11.802998 inf 181.294078 \n", "pc mean num 0.000000 5.372290e-03 2.058870 \n", " ref num 0.000000 0.000000e+00 2.259403 \n", " diff % NaN 1.000000e+02 9.739951 \n", " num 0.000000 5.372290e-03 -0.200533 \n", " std % NaN 2.437070e+02 0.256878 \n", " num 0.000000 1.309265e-02 0.005289 \n", " diff/std % NaN 4.103288e+01 3791.665217 \n", "\n", "Param PU_SG_PU_3_n1_1_1 SU_SG_SU_1_0_0_1 SU_SG_SU_3_0_0_1 \n", "Type Source dType \n", "m mean num 1.142349 2.652524 1.143807 \n", " ref num 0.802905 2.686062 1.109153 \n", " diff % 29.714546 1.264393 3.029722 \n", " num 0.339444 -0.033538 0.034654 \n", " std % 0.265457 0.001599 0.006777 \n", " num 0.003032 0.000042 0.000078 \n", " diff/std % 11193.713369 79089.050126 44706.225465 \n", "p mean num 0.143498 2.356759 -0.785126 \n", " ref num -3.120444 2.611229 -0.078678 \n", " diff % 2274.558140 10.797481 89.978902 \n", " num 3.263942 -0.254471 -0.706448 \n", " std % 1255.151491 5.709133 17.100819 \n", " num 1.801116 0.134550 0.134263 \n", " diff/std % 181.217818 189.126456 526.167201 \n", "pc mean num 2.058926 2.986923 0.154275 \n", " ref num 2.259403 2.810915 0.782363 \n", " diff % 9.736965 5.892615 407.123575 \n", " num -0.200477 0.176008 -0.628088 \n", " std % 0.461470 0.226641 4.433055 \n", " num 0.009501 0.006770 0.006839 \n", " diff/std % 2109.989164 2599.979908 9183.815020 " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# With abs phaseCorrection flag set\n", "data.paramsCompare(phaseCorrParams={'absFlag':True})" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In this particular case a few points of note:\n", "\n", "- The final results are generally quite close to the inputs. (In this case, the input dataset had reference data had ~10% random noise added, and the 1st phase was fixed as a reference during fitting; all other parameters were free.)\n", "- The absolute phase values appear to be quite far off in some cases, but the phase corrected values typically look quite good; this is consistent with a lack of sensitivity in the test dataset to the sign of the phases (as discussed elsewhere), but the remapped phases ($0:\\pi$) are precise.\n", "- The differences between the data and reference values are much larger than the standard deviation of the fits. This is indicative of a good (==close/singular) batch of fits, but reveals that the results obtained are not perfect - as expected for noisey data. Adding more data-points to the fit, and/or using higher fidelity data would help in this case (and will be explored elsewhere in future).\n", "- Colour coding and further analysis may help with interpretation, see below for a quick demo." ] }, { "cell_type": "code", "execution_count": 84, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Param PU_SG_PU_1_1_n1_1 PU_SG_PU_1_n1_1_1 PU_SG_PU_3_1_n1_1 PU_SG_PU_3_n1_1_1 SU_SG_SU_1_0_0_1 SU_SG_SU_3_0_0_1
Type Source dType
mmeannum1.6138501.6135701.1426521.1423492.6525241.143807
refnum1.7846161.7846160.8029050.8029052.6860621.109153
diff%10.58126010.60047129.73320929.7145461.2643933.029722
num-0.170766-0.1710460.3397470.339444-0.0335380.034654
std%0.1291940.1364910.2665730.2654570.0015990.006777
num0.0020850.0022020.0030460.0030320.0000420.000078
diff/std%8190.2324687766.40582311153.88391111193.71336979089.05012644706.225465
pmeannum-0.859382-0.8610410.1441380.1434982.356759-0.785126
refnum-0.861041-0.861041-3.120444-3.1204442.611229-0.078678
diff%0.1930900.0000002264.8933042274.55814010.79748189.978902
num0.0016590.0000003.2645833.263942-0.254471-0.706448
std%1.6359400.0000001249.2924941255.1514915.70913317.100819
num0.0140590.0000001.8007111.8011160.1345500.134263
diff/std%11.802998inf181.294078181.217818189.126456526.167201
pcmeannum0.0000000.0053722.0588702.0589262.9869230.154275
refnum0.0000000.0000002.2594032.2594032.8109150.782363
diff%nan100.0000009.7399519.7369655.892615407.123575
num0.0000000.005372-0.200533-0.2004770.176008-0.628088
std%nan243.7070160.2568780.4614700.2266414.433055
num0.0000000.0130930.0052890.0095010.0067700.006839
diff/std%nan41.0328773791.6652172109.9891642599.9799089183.815020
" ], "text/plain": [ "" ] }, "execution_count": 84, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Try checking full DF, rather than subset/slice - WITH ADDTIONS\n", "# See, e.g., https://stackoverflow.com/questions/50220200/conditional-styling-in-pandas-using-other-columns\n", "\n", "# Basically, set mask then styles in new dataframe.\n", "import pandas as pd\n", "idx = pd.IndexSlice\n", "# This works for %/abs pairs\n", "# Groupby to set for type subsets?\n", "# Code from https://stackoverflow.com/questions/50220200/conditional-styling-in-pandas-using-other-columns\n", "def select_pairs(x, props = '', bg = ''):\n", " #compare columns\n", " mask = idx[x.loc[idx[:,:,'%'],:] > 50] .droplevel('dType')\n", "# mask = idx[data.paramsSummaryComp.loc[idx[:,:,'%'],:] > 50]\n", "# mask = idx[x.loc[idx[:,:,'%']] > 50] # Select and drop - only works in pd >v1.2?\n", " #DataFrame with same index and columns names as original filled empty strings\n", " df1 = pd.DataFrame(bg, index=x.index, columns=x.columns)\n", " #modify values of df1 column by boolean mask\n", "# df1.where(mask, props, inplace = True)\n", " df1.where(~(mask.reindex_like(x).fillna(False)), props, inplace = True)\n", "\n", " return df1\n", "\n", "\n", "# dfT.style.apply(highlight_cols, props='color:white;background-color:darkblue', axis=None) # OK\n", "# data.paramsSummaryComp.style.apply(select_pairs, props='color:white;background-color:darkblue', axis=None) # OK\n", "data.paramsSummaryComp.style.apply(select_pairs, props='background-color:orange',axis=None) # OK" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Versions" ] }, { "cell_type": "code", "execution_count": 39, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Tue Dec 07 10:44:58 2021 Eastern Standard Time
OSWindowsCPU(s)32MachineAMD64
Architecture64bitRAM63.9 GBEnvironmentJupyter
Python 3.7.3 (default, Apr 24 2019, 15:29:51) [MSC v.1915 64 bit (AMD64)]
epsproc1.3.1-devpemtk0.0.1xarray0.15.0
jupyterVersion unknownnumpy1.19.2scipy1.3.0
IPython7.12.0matplotlib3.3.1scooby0.5.6
Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191125 for Intel(R) 64 architecture applications
" ], "text/plain": [ "\n", "--------------------------------------------------------------------------------\n", " Date: Tue Dec 07 10:44:58 2021 Eastern Standard Time\n", "\n", " OS : Windows\n", " CPU(s) : 32\n", " Machine : AMD64\n", " Architecture : 64bit\n", " RAM : 63.9 GB\n", " Environment : Jupyter\n", "\n", " Python 3.7.3 (default, Apr 24 2019, 15:29:51) [MSC v.1915 64 bit (AMD64)]\n", "\n", " epsproc : 1.3.1-dev\n", " pemtk : 0.0.1\n", " xarray : 0.15.0\n", " jupyter : Version unknown\n", " numpy : 1.19.2\n", " scipy : 1.3.0\n", " IPython : 7.12.0\n", " matplotlib : 3.3.1\n", " scooby : 0.5.6\n", "\n", " Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191125 for\n", " Intel(R) 64 architecture applications\n", "--------------------------------------------------------------------------------" ] }, "execution_count": 39, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import scooby\n", "scooby.Report(additional=['epsproc', 'pemtk', 'xarray', 'jupyter'])" ] }, { "cell_type": "code", "execution_count": 85, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "* master\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\femtolab\\.conda\\envs\\ePSdev\\lib\\site-packages\\IPython\\utils\\_process_win32.py:131: ResourceWarning: unclosed file <_io.BufferedWriter name=8>\n", " return process_handler(cmd, _system_body)\n", "C:\\Users\\femtolab\\.conda\\envs\\ePSdev\\lib\\site-packages\\IPython\\utils\\_process_win32.py:131: ResourceWarning: unclosed file <_io.BufferedReader name=9>\n", " return process_handler(cmd, _system_body)\n", "C:\\Users\\femtolab\\.conda\\envs\\ePSdev\\lib\\site-packages\\IPython\\utils\\_process_win32.py:131: ResourceWarning: unclosed file <_io.BufferedReader name=10>\n", " return process_handler(cmd, _system_body)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "4d97c2d50d362168fd720c8c357b0f6e1eb66c3f\n" ] } ], "source": [ "# Check current Git commit for local pemtk version\n", "!git -C {Path(pemtk.__file__).parent} branch\n", "!git -C {Path(pemtk.__file__).parent} log --format=\"%H\" -n 1" ] }, { "cell_type": "code", "execution_count": 86, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "4d97c2d50d362168fd720c8c357b0f6e1eb66c3f\trefs/heads/master\n" ] } ], "source": [ "# Check current remote commits\n", "!git ls-remote --heads git://github.com/phockett/pemtk\n", "# !git ls-remote --heads git://github.com/phockett/epsman" ] }, { "cell_type": "code", "execution_count": 87, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "* dev\n", " master\n", " numba-tests\n", "5bfa0c6c47ed5f23eff65a290624ffff4e9c5924\n" ] } ], "source": [ "# Check current Git commit for local ePSproc version\n", "import epsproc as ep\n", "!git -C {Path(ep.__file__).parent} branch\n", "!git -C {Path(ep.__file__).parent} log --format=\"%H\" -n 1" ] }, { "cell_type": "code", "execution_count": 88, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "8fb518c63bfb4edc49ef994808f1c18fb68ff0c3\trefs/heads/dependabot/pip/notes/envs/envs-versioned/pip-21.1\n", "5bfa0c6c47ed5f23eff65a290624ffff4e9c5924\trefs/heads/dev\n", "5278f0389878f6e7e5eb9b0c013ff3594c70938f\trefs/heads/master\n", "69cd89ce5bc0ad6d465a4bd8df6fba15d3fd1aee\trefs/heads/numba-tests\n", "ea30878c842f09d525fbf39fa269fa2302a13b57\trefs/heads/revert-9-master\n" ] } ], "source": [ "# Check current remote commits\n", "!git ls-remote --heads git://github.com/phockett/ePSproc\n", "# !git ls-remote --heads git://github.com/phockett/epsman" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.3" } }, "nbformat": 4, "nbformat_minor": 4 }