{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Model building with prior predictive checks\n", "\n", "**[Data set download](https://s3.amazonaws.com/bebi103.caltech.edu/data/good_invitro_droplet_data.csv)**\n", "\n", "
" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "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", " var JS_MIME_TYPE = 'application/javascript';\n", " var HTML_MIME_TYPE = 'text/html';\n", " var EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n", " var CLASS_NAME = 'output_bokeh rendered_html';\n", "\n", " /**\n", " * Render data to the DOM node\n", " */\n", " function render(props, node) {\n", " var script = document.createElement(\"script\");\n", " node.appendChild(script);\n", " }\n", "\n", " /**\n", " * Handle when an output is cleared or removed\n", " */\n", " function handleClearOutput(event, handle) {\n", " var cell = handle.cell;\n", "\n", " var id = cell.output_area._bokeh_element_id;\n", " var server_id = cell.output_area._bokeh_server_id;\n", " // Clean up Bokeh references\n", " if (id != null && id in Bokeh.index) {\n", " Bokeh.index[id].model.document.clear();\n", " delete Bokeh.index[id];\n", " }\n", "\n", " if (server_id !== undefined) {\n", " // Clean up Bokeh references\n", " var cmd = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n", " cell.notebook.kernel.execute(cmd, {\n", " iopub: {\n", " output: function(msg) {\n", " var id = msg.content.text.trim();\n", " if (id in Bokeh.index) {\n", " Bokeh.index[id].model.document.clear();\n", " delete Bokeh.index[id];\n", " }\n", " }\n", " }\n", " });\n", " // Destroy server and session\n", " var cmd = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n", " cell.notebook.kernel.execute(cmd);\n", " }\n", " }\n", "\n", " /**\n", " * Handle when a new output is added\n", " */\n", " function handleAddOutput(event, handle) {\n", " var output_area = handle.output_area;\n", " var output = handle.output;\n", "\n", " // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n", " if ((output.output_type != \"display_data\") || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n", " return\n", " }\n", "\n", " var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n", "\n", " if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n", " toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n", " // store reference to embed id on output_area\n", " output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n", " }\n", " if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n", " var bk_div = document.createElement(\"div\");\n", " bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n", " var script_attrs = bk_div.children[0].attributes;\n", " for (var i = 0; i < script_attrs.length; i++) {\n", " toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n", " }\n", " // store reference to server id on output_area\n", " output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n", " }\n", " }\n", "\n", " function register_renderer(events, OutputArea) {\n", "\n", " function append_mime(data, metadata, element) {\n", " // create a DOM node to render to\n", " var toinsert = this.create_output_subarea(\n", " metadata,\n", " CLASS_NAME,\n", " EXEC_MIME_TYPE\n", " );\n", " this.keyboard_manager.register_events(toinsert);\n", " // Render to node\n", " var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n", " render(props, toinsert[toinsert.length - 1]);\n", " element.append(toinsert);\n", " return toinsert\n", " }\n", "\n", " /* Handle when an output is cleared or removed */\n", " events.on('clear_output.CodeCell', handleClearOutput);\n", " events.on('delete.Cell', handleClearOutput);\n", "\n", " /* Handle when a new output is added */\n", " events.on('output_added.OutputArea', handleAddOutput);\n", "\n", " /**\n", " * Register the mime type and append_mime function with output_area\n", " */\n", " OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n", " /* Is output safe? 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\\n\"+\n", " \"

\\n\"+\n", " \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n", " \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n", " \"

\\n\"+\n", " \"\\n\"+\n", " \"\\n\"+\n", " \"from bokeh.resources import INLINE\\n\"+\n", " \"output_notebook(resources=INLINE)\\n\"+\n", " \"\\n\"+\n", " \"
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t=JSON.parse((\",\"+e).replace(/\\s*\\,\\s*([A-Z_0-9]+?)(\\[)/g,',[\"$1\",').slice(1).replace(/\\s*\\,\\s*([A-Z_0-9]+?)\\]/g,',\"$1\"]').replace(/,\\[\"VERTCS\".+/,\"\")),r=t.shift(),o=t.shift();t.unshift([\"name\",o]),t.unshift([\"type\",r]),t.unshift(\"output\");var _={};return l(t,_),function(e){function a(a){var t=e.to_meter||1;return parseFloat(a,10)*t}\"GEOGCS\"===e.type?e.projName=\"longlat\":\"LOCAL_CS\"===e.type?(e.projName=\"identity\",e.local=!0):\"object\"==typeof 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t=e,n=(r=a)[0],o=r[1],void(!(n in t)&&o in t&&(t[n]=t[o],3===r.length&&(t[n]=r[2](t[n]))));var t,r,n,o}),e.long0||!e.longc||\"Albers_Conic_Equal_Area\"!==e.projName&&\"Lambert_Azimuthal_Equal_Area\"!==e.projName||(e.long0=e.longc),e.lat_ts||!e.lat1||\"Stereographic_South_Pole\"!==e.projName&&\"Polar Stereographic (variant B)\"!==e.projName||(e.lat0=i(e.lat1>0?90:-90),e.lat_ts=e.lat1)}(_.output),n(a,_.output)}},\n", " function _(n,r,i){r.exports=function(n,r){var i,o;if(n=n||{},!r)return n;for(o in r)void 0!==(i=r[o])&&(n[o]=i);return n}},\n", " function _(n,o,t){var r=[n(144),n(150)],e={},a=[];function i(n,o){var t=a.length;return n.names?(a[t]=n,n.names.forEach(function(n){e[n.toLowerCase()]=t}),this):(console.log(o),!0)}t.add=i,t.get=function(n){if(!n)return!1;var o=n.toLowerCase();return void 0!==e[o]&&a[e[o]]?a[e[o]]:void 0},t.start=function(){r.forEach(i)}},\n", " function _(t,s,i){var 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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Amer. 1969\"},l.GRS67={a:6378160,rf:298.247167427,ellipseName:\"GRS 67(IUGG 1967)\"},l.bessel={a:6377397.155,rf:299.1528128,ellipseName:\"Bessel 1841\"},l.bess_nam={a:6377483.865,rf:299.1528128,ellipseName:\"Bessel 1841 (Namibia)\"},l.clrk66={a:6378206.4,b:6356583.8,ellipseName:\"Clarke 1866\"},l.clrk80={a:6378249.145,rf:293.4663,ellipseName:\"Clarke 1880 mod.\"},l.clrk58={a:6378293.645208759,rf:294.2606763692654,ellipseName:\"Clarke 1858\"},l.CPM={a:6375738.7,rf:334.29,ellipseName:\"Comm. des Poids et Mesures 1799\"},l.delmbr={a:6376428,rf:311.5,ellipseName:\"Delambre 1810 (Belgium)\"},l.engelis={a:6378136.05,rf:298.2566,ellipseName:\"Engelis 1985\"},l.evrst30={a:6377276.345,rf:300.8017,ellipseName:\"Everest 1830\"},l.evrst48={a:6377304.063,rf:300.8017,ellipseName:\"Everest 1948\"},l.evrst56={a:6377301.243,rf:300.8017,ellipseName:\"Everest 1956\"},l.evrst69={a:6377295.664,rf:300.8017,ellipseName:\"Everest 1969\"},l.evrstSS={a:6377298.556,rf:300.8017,ellipseName:\"Everest (Sabah & 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66\"},l.WGS7={a:6378135,rf:298.26,ellipseName:\"WGS 72\"},l.WGS84={a:6378137,rf:298.257223563,ellipseName:\"WGS 84\"},l.sphere={a:6370997,b:6370997,ellipseName:\"Normal Sphere (r=6370997)\"}},\n", " function _(e,a,s){s.wgs84={towgs84:\"0,0,0\",ellipse:\"WGS84\",datumName:\"WGS84\"},s.ch1903={towgs84:\"674.374,15.056,405.346\",ellipse:\"bessel\",datumName:\"swiss\"},s.ggrs87={towgs84:\"-199.87,74.79,246.62\",ellipse:\"GRS80\",datumName:\"Greek_Geodetic_Reference_System_1987\"},s.nad83={towgs84:\"0,0,0\",ellipse:\"GRS80\",datumName:\"North_American_Datum_1983\"},s.nad27={nadgrids:\"@conus,@alaska,@ntv2_0.gsb,@ntv1_can.dat\",ellipse:\"clrk66\",datumName:\"North_American_Datum_1927\"},s.potsdam={towgs84:\"606.0,23.0,413.0\",ellipse:\"bessel\",datumName:\"Potsdam Rauenberg 1950 DHDN\"},s.carthage={towgs84:\"-263.0,6.0,431.0\",ellipse:\"clark80\",datumName:\"Carthage 1934 Tunisia\"},s.hermannskogel={towgs84:\"653.0,-212.0,449.0\",ellipse:\"bessel\",datumName:\"Hermannskogel\"},s.ire65={towgs84:\"482.530,-130.596,564.557,-1.042,-0.214,-0.631,8.15\",ellipse:\"mod_airy\",datumName:\"Ireland 1965\"},s.rassadiran={towgs84:\"-133.63,-157.5,-158.62\",ellipse:\"intl\",datumName:\"Rassadiran\"},s.nzgd49={towgs84:\"59.47,-5.04,187.44,0.47,-0.1,1.024,-4.5993\",ellipse:\"intl\",datumName:\"New Zealand Geodetic Datum 1949\"},s.osgb36={towgs84:\"446.448,-125.157,542.060,0.1502,0.2470,0.8421,-20.4894\",ellipse:\"airy\",datumName:\"Airy 1830\"},s.s_jtsk={towgs84:\"589,76,480\",ellipse:\"bessel\",datumName:\"S-JTSK (Ferro)\"},s.beduaram={towgs84:\"-106,-87,188\",ellipse:\"clrk80\",datumName:\"Beduaram\"},s.gunung_segara={towgs84:\"-403,684,41\",ellipse:\"bessel\",datumName:\"Gunung Segara Jakarta\"},s.rnb72={towgs84:\"106.869,-52.2978,103.724,-0.33657,0.456955,-1.84218,1\",ellipse:\"intl\",datumName:\"Reseau National Belge 1972\"}},\n", " function _(a,m,t){var 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 n===t});break;default:throw new Error(\"unknown mode: \"+this.mode)}return-1!=e?this._y_sorted[e]:NaN},e}(i.Interpolator);r.StepInterpolator=_,_.__name__=\"StepInterpolator\",_.init_StepInterpolator()},\n", " function _(t,e,a){var r=t(113),o=function(t){function e(e){return t.call(this,e)||this}return r.__extends(e,t),e.prototype.compute=function(t){var e,a=this._compute_state(),r=a[0],o=a[1],n=a[2],i=a[3];if(0==n)e=0;else{var h=(Math.log(t)-i)/n;e=isFinite(h)?h*r+o:NaN}return e},e.prototype.v_compute=function(t){var e=this._compute_state(),a=e[0],r=e[1],o=e[2],n=e[3],i=new Float64Array(t.length);if(0==o)for(var h=0;h0?(this.el.style.top=y+\"px\",this.el.style.left=b+\"px\"):l.undisplay(this.el)}},e}(o.AnnotationView);i.TooltipView=c,c.__name__=\"TooltipView\";var d=function(t){function e(e){return t.call(this,e)||this}return 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 dashed;\\n}\\n.bk-root .bk-tooltip.bk-left.bk-tooltip-arrow::before {\\n position: absolute;\\n margin: -7px 0 0 0;\\n top: 50%;\\n width: 0;\\n height: 0;\\n border-style: solid;\\n border-width: 7px 0 7px 0;\\n border-color: transparent;\\n content: \" \";\\n display: block;\\n left: -10px;\\n border-right-width: 10px;\\n border-right-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-left::before {\\n left: -10px;\\n border-right-width: 10px;\\n border-right-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-right.bk-tooltip-arrow::after {\\n position: absolute;\\n margin: -7px 0 0 0;\\n top: 50%;\\n width: 0;\\n height: 0;\\n border-style: solid;\\n border-width: 7px 0 7px 0;\\n border-color: transparent;\\n content: \" \";\\n display: block;\\n right: -10px;\\n border-left-width: 10px;\\n border-left-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-right::after {\\n right: -10px;\\n border-left-width: 10px;\\n border-left-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-above::before {\\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 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 Array(2),new Array(2)];return o[e][0]=Math.max(r,i.min),o[e][1]=Math.min(n,i.max),o[e][0]>o[e][1]&&(o[e][0]=o[e][1]=NaN),o[t][0]=this.loc,o[t][1]=this.loc,o},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"tick_coords\",{get:function(){for(var e=this.dimension,t=(e+1)%2,i=this.ranges[0],a=this.computed_bounds,r=a[0],n=a[1],o=this.model.ticker.get_ticks(r,n,i,this.loc,{}),s=o.major,l=o.minor,_=[[],[]],h=[[],[]],u=[i.min,i.max],c=u[0],d=u[1],m=0;md||(_[e].push(s[m]),_[t].push(this.loc));for(m=0;md||(h[e].push(l[m]),h[t].push(this.loc));return{major:_,minor:h}},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"loc\",{get:function(){var e=this.model.fixed_location;if(null!=e){if(s.isNumber(e))return e;var t=this.ranges[1];if(t instanceof l.FactorRange)return t.synthetic(e);throw new Error(\"unexpected\")}var i=this.ranges[1];switch(this.panel.side){case\"left\":case\"below\":return i.start;case\"right\":case\"above\":return 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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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 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if(5===g.length)t=g[1],e=g[2],i=g[3],n=g[4],s=m.width,a=m.height;else{if(9!==g.length)throw new Error(\"Inavlid number of arguments passed to drawImage: \"+arguments.length);f=g[1],y=g[2],s=g[3],a=g[4],t=g[5],e=g[6],i=g[7],n=g[8]}o=this.__closestGroupOrSvg(),this.__currentElement;var v=\"translate(\"+t+\", \"+e+\")\";if(m instanceof r){if((h=m.getSvg().cloneNode(!0)).childNodes&&h.childNodes.length>1){for(l=h.childNodes[0];l.childNodes.length;)d=l.childNodes[0].getAttribute(\"id\"),this.__ids[d]=d,this.__defs.appendChild(l.childNodes[0]);if(c=h.childNodes[1]){var b,w=c.getAttribute(\"transform\");b=w?w+\" \"+v:v,c.setAttribute(\"transform\",b),o.appendChild(c)}}}else\"IMG\"===m.nodeName?((p=this.__createElement(\"image\")).setAttribute(\"width\",i),p.setAttribute(\"height\",n),p.setAttribute(\"preserveAspectRatio\",\"none\"),(f||y||s!==m.width||a!==m.height)&&((_=this.__document.createElement(\"canvas\")).width=i,_.height=n,(u=_.getContext(\"2d\")).drawImage(m,f,y,s,a,0,0,i,n),m=_),p.setAttribute(\"transform\",v),p.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",\"CANVAS\"===m.nodeName?m.toDataURL():m.getAttribute(\"src\")),o.appendChild(p)):\"CANVAS\"===m.nodeName&&((p=this.__createElement(\"image\")).setAttribute(\"width\",i),p.setAttribute(\"height\",n),p.setAttribute(\"preserveAspectRatio\",\"none\"),(_=this.__document.createElement(\"canvas\")).width=i,_.height=n,(u=_.getContext(\"2d\")).imageSmoothingEnabled=!1,u.mozImageSmoothingEnabled=!1,u.oImageSmoothingEnabled=!1,u.webkitImageSmoothingEnabled=!1,u.drawImage(m,f,y,s,a,0,0,i,n),m=_,p.setAttribute(\"transform\",v),p.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",m.toDataURL()),o.appendChild(p))},r.prototype.createPattern=function(t,e){var 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 0===r&&(r=\"default\"),[this.xscales[a].v_compute(e),this.yscales[r].v_compute(t)]},t.prototype._get_ranges=function(e,t){var a={};if(a.default=e,null!=t)for(var r in t)a[r]=t[r];return a},t.prototype._get_scales=function(e,t,a){var r={};for(var g in t){var l=t[g];if(l instanceof o.DataRange1d||l instanceof _.Range1d){if(!(e instanceof i.LogScale||e instanceof s.LinearScale))throw new Error(\"Range \"+l.type+\" is incompatible is Scale \"+e.type);if(e instanceof n.CategoricalScale)throw new Error(\"Range \"+l.type+\" is incompatible is Scale \"+e.type)}if(l instanceof c.FactorRange&&!(e instanceof n.CategoricalScale))throw new Error(\"Range \"+l.type+\" is incompatible is Scale \"+e.type);e instanceof i.LogScale&&l instanceof o.DataRange1d&&(l.scale_hint=\"log\");var f=e.clone();f.setv({source_range:l,target_range:a}),r[g]=f}return r},t.prototype._configure_frame_ranges=function(){this._h_target=new _.Range1d({start:this._left.value,end:this._right.value}),this._v_target=new _.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 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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 39:r[e]=Math.min(r[e]+o,c);break;default:return}s?(this.model.value=r,this.model.properties.value.change.emit()):this.model.value=r[0],this.noUiSlider.set(r),null!=this.callback_wrapper&&this.callback_wrapper()},e.prototype.render=function(){var e=this;t.prototype.render.call(this);var i,l=this._calc_to(),n=l.start,a=l.end,c=l.value,_=l.step;if(this.model.tooltips){var u={to:function(t){return e.model.pretty(t)}};i=s.repeat(u,c.length)}else i=!1;if(null==this.slider_el){this.slider_el=o.div(),r.create(this.slider_el,{cssPrefix:h,range:{min:n,max:a},start:c,step:_,behaviour:this.model.behaviour,connect:this.model.connected,tooltips:i,orientation:this.model.orientation,direction:this.model.direction}),this.noUiSlider.on(\"slide\",function(t,i,l){return e._slide(l)}),this.noUiSlider.on(\"change\",function(t,i,l){return e._change(l)}),this._set_keypress_handles();var 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 this._formatter(t,this.format)},e}(c.Control);i.AbstractSlider=m,m.__name__=\"AbstractSlider\",m.init_AbstractSlider()},\n", " 493: function _(t,e,r){\n", " /*! nouislider - 10.1.0 - 2017-07-28 17:11:18 */var n;n=function(){\"use strict\";var t=\"10.1.0\";function e(t){t.preventDefault()}function r(t){return\"number\"==typeof t&&!isNaN(t)&&isFinite(t)}function n(t,e,r){r>0&&(s(t,e),setTimeout(function(){a(t,e)},r))}function i(t){return Array.isArray(t)?t:[t]}function o(t){var e=(t=String(t)).split(\".\");return e.length>1?e[1].length:0}function s(t,e){t.classList?t.classList.add(e):t.className+=\" \"+e}function a(t,e){t.classList?t.classList.remove(e):t.className=t.className.replace(new RegExp(\"(^|\\\\b)\"+e.split(\" \").join(\"|\")+\"(\\\\b|$)\",\"gi\"),\" \")}function l(t){var e=void 0!==window.pageXOffset,r=\"CSS1Compat\"===(t.compatMode||\"\");return{x:e?window.pageXOffset:r?t.documentElement.scrollLeft:t.body.scrollLeft,y:e?window.pageYOffset:r?t.documentElement.scrollTop:t.body.scrollTop}}function u(t,e){return 100/(e-t)}function c(t,e){return 100*e/(t[1]-t[0])}function p(t,e){for(var r=1;t>=e[r];)r+=1;return r}function f(t,e,r){if(r>=t.slice(-1)[0])return 100;var n,i,o,s,a=p(r,t);return n=t[a-1],i=t[a],o=e[a-1],s=e[a],o+function(t,e){return c(t,t[0]<0?e+Math.abs(t[0]):e-t[0])}([n,i],r)/u(o,s)}function d(t,e,r,n){if(100===n)return n;var i,o,s=p(n,t);return r?n-(i=t[s-1])>((o=t[s])-i)/2?o:i:e[s-1]?t[s-1]+function(t,e){return Math.round(t/e)*e}(n-t[s-1],e[s-1]):n}function h(e,n,i){var o;if(\"number\"==typeof n&&(n=[n]),\"[object Array]\"!==Object.prototype.toString.call(n))throw new Error(\"noUiSlider (\"+t+\"): 'range' contains invalid value.\");if(!r(o=\"min\"===e?0:\"max\"===e?100:parseFloat(e))||!r(n[0]))throw new Error(\"noUiSlider (\"+t+\"): 'range' value 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center;\\n}\\n.bk-root .bk-noUi-value-sub {\\n color: #ccc;\\n font-size: 10px;\\n}\\n.bk-root .bk-noUi-marker {\\n position: absolute;\\n background: #CCC;\\n}\\n.bk-root .bk-noUi-marker-sub {\\n background: #AAA;\\n}\\n.bk-root .bk-noUi-marker-large {\\n background: #AAA;\\n}\\n.bk-root .bk-noUi-pips-horizontal {\\n padding: 10px 0;\\n height: 80px;\\n top: 100%;\\n left: 0;\\n width: 100%;\\n}\\n.bk-root .bk-noUi-value-horizontal {\\n -webkit-transform: translate3d(-50%, 50%, 0);\\n transform: translate3d(-50%, 50%, 0);\\n}\\n.bk-root .bk-noUi-marker-horizontal.bk-noUi-marker {\\n margin-left: -1px;\\n width: 2px;\\n height: 5px;\\n}\\n.bk-root .bk-noUi-marker-horizontal.bk-noUi-marker-sub {\\n height: 10px;\\n}\\n.bk-root .bk-noUi-marker-horizontal.bk-noUi-marker-large {\\n height: 15px;\\n}\\n.bk-root .bk-noUi-pips-vertical {\\n padding: 0 10px;\\n height: 100%;\\n top: 0;\\n left: 100%;\\n}\\n.bk-root .bk-noUi-value-vertical {\\n -webkit-transform: translate3d(0, 50%, 0);\\n transform: translate3d(0, 50%, 0);\\n padding-left: 25px;\\n}\\n.bk-root .bk-noUi-marker-vertical.bk-noUi-marker {\\n width: 5px;\\n height: 2px;\\n margin-top: -1px;\\n}\\n.bk-root .bk-noUi-marker-vertical.bk-noUi-marker-sub {\\n width: 10px;\\n}\\n.bk-root .bk-noUi-marker-vertical.bk-noUi-marker-large {\\n width: 15px;\\n}\\n.bk-root .bk-noUi-tooltip {\\n display: block;\\n position: absolute;\\n border: 1px solid #D9D9D9;\\n border-radius: 3px;\\n background: #fff;\\n color: #000;\\n padding: 5px;\\n text-align: center;\\n white-space: nowrap;\\n}\\n.bk-root .bk-noUi-horizontal .bk-noUi-tooltip {\\n -webkit-transform: translate(-50%, 0);\\n transform: translate(-50%, 0);\\n left: 50%;\\n bottom: 120%;\\n}\\n.bk-root .bk-noUi-vertical .bk-noUi-tooltip {\\n -webkit-transform: translate(0, -50%);\\n transform: translate(0, -50%);\\n top: 50%;\\n right: 120%;\\n}\\n.bk-root .bk-noUi-handle {\\n cursor: grab;\\n cursor: -webkit-grab;\\n}\\n.bk-root .bk-noUi-handle.bk-noUi-active {\\n cursor: grabbing;\\n cursor: -webkit-grabbing;\\n}\\n.bk-root .bk-noUi-tooltip {\\n display: none;\\n white-space: nowrap;\\n}\\n.bk-root .bk-noUi-handle:hover .bk-noUi-tooltip {\\n display: block;\\n}\\n.bk-root .bk-noUi-horizontal {\\n width: 100%;\\n height: 10px;\\n}\\n.bk-root .bk-noUi-horizontal.bk-noUi-target {\\n margin: 5px 0px;\\n}\\n.bk-root .bk-noUi-horizontal .bk-noUi-handle {\\n width: 14px;\\n height: 18px;\\n left: -7px;\\n top: -5px;\\n}\\n.bk-root .bk-noUi-vertical {\\n width: 10px;\\n height: 100%;\\n}\\n.bk-root .bk-noUi-vertical.bk-noUi-target {\\n margin: 0px 5px;\\n}\\n.bk-root .bk-noUi-vertical .bk-noUi-handle {\\n width: 18px;\\n height: 14px;\\n left: -5px;\\n top: -7px;\\n}\\n.bk-root .bk-noUi-handle:after,\\n.bk-root .bk-noUi-handle:before {\\n display: none;\\n}\\n.bk-root .bk-noUi-connect {\\n box-shadow: none;\\n}\\n')},\n", " 496: function _(t,e,i){var r=t(113),n=t(252),a=t(492),_=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return r.__extends(e,t),e}(a.AbstractSliderView);i.DateSliderView=_,_.__name__=\"DateSliderView\";var o=function(t){function e(e){var i=t.call(this,e)||this;return i.behaviour=\"tap\",i.connected=[!0,!1],i}return r.__extends(e,t),e.init_DateSlider=function(){this.prototype.default_view=_,this.override({format:\"%d %b %Y\"})},e.prototype._formatter=function(t,e){return n(t,e)},e}(a.AbstractSlider);i.DateSlider=o,o.__name__=\"DateSlider\",o.init_DateSlider()},\n", " 497: function _(t,e,i){var n=t(113),r=t(498),_=t(121),o=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return n.__extends(e,t),e.prototype.render=function(){t.prototype.render.call(this),this.model.render_as_text?this.markup_el.textContent=this.model.text:this.markup_el.innerHTML=this.model.text},e}(r.MarkupView);i.DivView=o,o.__name__=\"DivView\";var u=function(t){function e(e){return t.call(this,e)||this}return n.__extends(e,t),e.init_Div=function(){this.prototype.default_view=o,this.define({render_as_text:[_.Boolean,!1]})},e}(r.Markup);i.Div=u,u.__name__=\"Div\",u.init_Div()},\n", " 498: function _(t,i,n){var e=t(113),s=t(282),o=t(163),r=t(121),a=t(534),l=t(499),u=function(t){function i(){return null!==t&&t.apply(this,arguments)||this}return e.__extends(i,t),i.prototype.connect_signals=function(){var i=this;t.prototype.connect_signals.call(this),this.connect(this.model.change,function(){i.render(),i.root.compute_layout()})},i.prototype._update_layout=function(){this.layout=new s.VariadicBox(this.el),this.layout.set_sizing(this.box_sizing())},i.prototype.render=function(){t.prototype.render.call(this);var i=Object.assign(Object.assign({},this.model.style),{display:\"inline-block\"});this.markup_el=o.div({class:l.bk_clearfix,style:i}),this.el.appendChild(this.markup_el)},i}(a.WidgetView);n.MarkupView=u,u.__name__=\"MarkupView\";var c=function(t){function i(i){return t.call(this,i)||this}return e.__extends(i,t),i.init_Markup=function(){this.define({text:[r.String,\"\"],style:[r.Any,{}]})},i}(a.Widget);n.Markup=c,c.__name__=\"Markup\",c.init_Markup()},\n", " 499: function _(e,n,r){e(164),e(163).styles.append('.bk-root .bk-clearfix:before,\\n.bk-root .bk-clearfix:after {\\n content: \"\";\\n display: table;\\n}\\n.bk-root .bk-clearfix:after {\\n clear: both;\\n}\\n'),r.bk_clearfix=\"bk-clearfix\"},\n", " 500: function _(e,t,i){var n=e(113),o=e(474),l=e(376),s=e(163),r=e(121),u=e(109),d=e(240),a=e(347),c=e(348),_=function(e){function t(){var t=e.apply(this,arguments)||this;return t._open=!1,t}return n.__extends(t,e),t.prototype.render=function(){var t=this;e.prototype.render.call(this);var i=s.div({class:[c.bk_caret,d.bk_down]});if(this.model.is_split){var n=this._render_button(i);n.classList.add(a.bk_dropdown_toggle),n.addEventListener(\"click\",function(){return t._toggle_menu()}),this.group_el.appendChild(n)}else this.button_el.appendChild(i);var o=this.model.menu.map(function(e,i){if(null==e)return s.div({class:c.bk_divider});var n=u.isString(e)?e:e[0],o=s.div({},n);return o.addEventListener(\"click\",function(){return t._item_click(i)}),o});this.menu=s.div({class:[c.bk_menu,d.bk_below]},o),this.el.appendChild(this.menu),s.undisplay(this.menu)},t.prototype._show_menu=function(){var e=this;if(!this._open){this._open=!0,s.display(this.menu);var t=function(i){var n=i.target;n instanceof HTMLElement&&!e.el.contains(n)&&(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._toggle_menu=function(){this._open?this._hide_menu():this._show_menu()},t.prototype.click=function(){this.model.is_split?(this._hide_menu(),this.model.trigger_event(new l.ButtonClick),this.model.value=this.model.default_value,null!=this.model.callback&&this.model.callback.execute(this.model),e.prototype.click.call(this)):this._toggle_menu()},t.prototype._item_click=function(e){this._hide_menu();var t=this.model.menu[e];if(null!=t){var i=u.isString(t)?t:t[1];u.isString(i)?(this.model.trigger_event(new l.MenuItemClick(i)),this.model.value=i,null!=this.model.callback&&this.model.callback.execute(this.model)):(i.execute(this.model,{index:e}),null!=this.model.callback&&this.model.callback.execute(this.model))}},t}(o.AbstractButtonView);i.DropdownView=_,_.__name__=\"DropdownView\";var h=function(e){function t(t){return e.call(this,t)||this}return n.__extends(t,e),t.init_Dropdown=function(){this.prototype.default_view=_,this.define({split:[r.Boolean,!1],menu:[r.Array,[]],value:[r.String],default_value:[r.String]}),this.override({label:\"Dropdown\"})},Object.defineProperty(t.prototype,\"is_split\",{get:function(){return 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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": [ ":Scatter [Droplet Diameter (um)] (Spindle Length (um))" ] }, "execution_count": 2, "metadata": { "application/vnd.holoviews_exec.v0+json": { "id": "1004" } }, "output_type": "execute_result" } ], "source": [ "# Load in Data Frame\n", "df = pd.read_csv('../data/good_invitro_droplet_data.csv', comment='#')\n", "\n", "hv.Scatter(\n", " data=df,\n", " kdims='Droplet Diameter (um)',\n", " vdims='Spindle Length (um)',\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We have already built generative models for this in [our lesson on brute force plotting of posteriors](lessons/lesson_02/plotting_posteriors.ipynb) and [our lesson on regression using MCMC](lessons/lesson_04/regression_with_stan.ipynb). We have been working with two models, the *independent size model* in which the length of the spindle is independent of the droplet diameter and the *conserved tubulin model* in which the spindle length $l$ is dependent on the total amount of tubulin present in the droplet.\n", " \n", "We will build generative models for each, starting with the independent size model. We will use prior predictive checks to hone in on the priors.\n", "\n", "In order to do the prior predictive checks, we will assume we will measure 1000 spindle lengths in drops with diameters ranging from about 25 µm to 250 µm in diameter. Though we do have a data set available (which as 670 measurements concentrated between droplet diameters of 25 and 75 µm), we will assume we can make droplets uniformly throughout that range. We will therefore take our droplet diameters to range from 25 to 250 µm uniformly." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "# Number of measurements\n", "N = 1000\n", "\n", "# Droplet diameters\n", "d = np.linspace(25, 250, N)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Model 1: Spindle size is independent of droplet size\n", "\n", "As a first model, we propose that the size of a mitotic spindle is inherent to the spindle itself. This means that the size of the spindle is independent of the size of the droplet or cell in which it resides. This would be the case, for example, if construction of the spindle involves length-sensing molecules, such as depolymerizing motor proteins. We define that set length as $\\phi$." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### The likelihood\n", "\n", "Not all spindles will be measured to be exactly $\\phi$ µm in length. Rather, there may be some variation about $\\phi$ due to natural variation and measurement error. So, we would expect measured length of spindle $i$ to be\n", "\n", "\\begin{align}\n", "l_i = \\phi + e_i,\n", "\\end{align}\n", "\n", "where $e_i$ is the noise component of the $i$th datum.\n", "\n", "So, we have a theoretical model for spindle length, $l = \\phi$, and to get a fully generative model, we need to model the errors $e_i$. A reasonable model assumes\n", "\n", "1. Each measured spindle's length is independent of all others.\n", "2. The variability in measured spindle length is Gaussian.\n", "\n", "With these assumptions, we can write the probability density function for $l_i$ as\n", "\n", "\\begin{align}\n", "f(l_i \\mid \\phi, \\sigma) = \\frac{1}{\\sqrt{2\\pi \\sigma^2}}\\,\\exp\\left[-\\frac{(l_i - \\phi)^2}{2\\sigma^2}\\right].\n", "\\end{align}\n", "\n", "Since each measurement is independent, we can write the likelihood of the entire data set, which we will define as $l = \\{l_1, l_2,\\ldots\\}$, consisting of $n$ total measurements.\n", "\n", "\\begin{align}\n", "f(l \\mid \\phi, \\sigma) = \\prod_{i} f(l_i \\mid \\phi, \\sigma) = \\frac{1}{(2\\pi \\sigma^2)^{n/2}}\\,\\exp\\left[-\\frac{1}{2\\sigma^2}\\sum_{i}(l_i - \\phi)^2\\right].\n", "\\end{align}\n", "\n", "We can write this more succinctly, and perhaps more intuitively, as\n", "\n", "\\begin{align}\n", "l_i \\sim \\text{Norm}(\\phi, \\sigma) \\;\\;\\forall i.\n", "\\end{align}\n", "\n", "We will generally write our models in this format, which is easier to parse and understand. It also looks similar to a Stan specification, as we will soon see.\n", "\n", "Note that in writing this generative model, we have necessarily introduced another parameter, $\\sigma$, the standard deviation parametrizing the Normal distribution. So, we have two parameters in our model, $\\phi$ and $\\sigma$." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### The prior\n", "\n", "With our likelihood specified, we need to give a prior for $\\phi$ and $\\sigma$, $g(\\phi, \\sigma)$. We will assume that $\\phi$ and $\\sigma$ are independent; that is, $g(\\phi, \\sigma) = g(\\phi)\\,g(\\sigma)$. So, we need to specify separate priors for $\\phi$ and $\\sigma$.\n", "\n", "Let's start with $\\phi$. We ask, \"How big are spindles?\" and perform an order-of-magnitude estimate to establish the prior. I think a mitotic spindle should be somewhere around 20 µm. Certainly no smaller than 1 µm, and probably not bigger than 100 µm, which is the on the large end of a typical size of a eukaryotic cell. (I know it sounds strange to say typical size of a eukaryotic cell, since they come in some many varieties, but 30 µm seems like a good upper limit to me.) I'm pretty uncertain, though, so I should not assign a sharp distribution. So, a broad distribution centered at $\\phi = 20$ µm will suffice.\n", "\n", "\\begin{align}\n", "\\phi \\sim \\text{Norm}(20, 20).\n", "\\end{align}\n", "\n", "Next, let's try $\\sigma$. How much do we expect the spindle length to vary? I would think that 20% variation seems reasonable, but it could be more or less. So, I will again choose a broad distribution centered at $\\sigma = 4$ µm.\n", "\n", "\\begin{align}\n", "\\sigma \\sim \\text{Norm}(4, 5).\n", "\\end{align}\n", "\n", "So, we now have a complete model; the likelihood and prior, and therefore the joint distribution, are specified. Here it is (all units are µm):\n", "\n", "\\begin{align}\n", "&\\phi \\sim \\text{Norm}(20, 20), \\\\[1em]\n", "&\\sigma \\sim \\text{Norm}(4, 5), \\\\[1em]\n", "&l_i \\sim \\text{Norm}(\\phi, \\sigma) \\;\\;\\forall i.\n", "\\end{align}\n", "\n", "The measurements of the droplet diameters $d_i$ are irrelevant under this model.\n", "\n", "If we look at the model with a critical eye, we can immediately see that it has a problem. It is possible that parameters $\\phi$ and $\\sigma$ could be nonpositive, as could the length, $l_i$. This is impossible in the case of $\\sigma$ and unphysical in the cases of $\\phi$ and $l_i$. So, these really should be truncated distributions.\n", "\n", "That said, **it is generally a bad idea to truncate distributions** (except and points where their derivatives vanish, like for the Half Normal distribution) when building models. It's both unrealistic and results in more difficult posterior sampling, which ultimately is what we need to do when doing statistical inference.\n", "\n", "We will therefore jettison this model and develop a model that is closer to being physically reasonable. We will keep the same likelihood, since its tails should decay away fast enough to prevent negative values of $l_i$. We instead focus on the prior." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### The prior, take 2\n", "\n", "Let's start with $\\sigma$. It is possible that the spindle size is very carefully controlled. It is also possible that it could be highly variable. So, we can choose a Half Normal prior for $\\sigma$ with a large standard deviation. It looks something like this." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "application/vnd.holoviews_exec.v0+json": "", "text/html": [ "
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\n", "" ], "text/plain": [ ":Curve [σ [µm]] (g(σ) [1/µm])" ] }, "execution_count": 4, "metadata": { "application/vnd.holoviews_exec.v0+json": { "id": "1114" } }, "output_type": "execute_result" } ], "source": [ "sigma = np.linspace(0, 40, 200)\n", "hv.Curve(\n", " (sigma, st.halfnorm.pdf(sigma, 0, 10)),\n", " kdims='σ [µm]',\n", " vdims='g(σ) [1/µm]'\n", ").opts(\n", " xlim=(0, 40)\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "For $\\phi$, we can instead take a Log-Normal distribution, with a median of 20 µm. The Log-Normal distribution is strictly positive and is useful for modeling parameters where we only have order-of-magnitude estimates. It looks like this." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "application/vnd.holoviews_exec.v0+json": "", "text/html": [ "
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\n", "" ], "text/plain": [ ":Curve [ϕ [µm]] (g(ϕ) [1/µm])" ] }, "execution_count": 5, "metadata": { "application/vnd.holoviews_exec.v0+json": { "id": "1224" } }, "output_type": "execute_result" } ], "source": [ "phi = np.linspace(0, 80, 200)\n", "hv.Curve(\n", " (phi, st.lognorm.pdf(phi, 0.75, loc=0, scale=20)),\n", " kdims='ϕ [µm]',\n", " vdims='g(ϕ) [1/µm]'\n", ").opts(\n", " xlim=(0, 80)\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "So, we have an updated model.\n", "\n", "\\begin{align}\n", "&\\phi \\sim \\text{LogNorm}(\\ln 20, 0.75),\\\\[1em]\n", "&\\sigma \\sim \\text{HalfNorm}(0, 10),\\\\[1em]\n", "&l_i \\sim \\text{Norm}(\\phi, \\sigma) \\;\\forall i.\n", "\\end{align}" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Prior predictive checks\n", "\n", "Let us now generate samples out of this generative model. This procedure is known as **prior predictive checking**. We first generate parameter values drawing out of the prior distributions for $\\phi$ and $\\sigma$. We then use those parameter values to generate a data set using the likelihood. We repeat this over and over again to see what kind of data sets we might expect out of our generative model. Each of these generated data sets is called a **prior predictive sample**. We can do this efficiently using Numpy's random number generators." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "n_ppc_samples = 1000\n", "\n", "# Draw parameters out of the prior\n", "phi = np.random.lognormal(np.log(20), 0.75, size=n_ppc_samples)\n", "sigma = np.abs(np.random.normal(0, 10, size=n_ppc_samples))\n", "\n", "# Draw data sets out of the likelihood for each set of prior params\n", "ell = np.array([np.random.normal(ph, sig, size=N) for ph, sig in zip(phi, sigma)])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "There are many ways we could visualize the results. One informative plot is to make an ECDF of each of the data sets. We will thin them out a bit, taking only every 20th data set, to keep the file size of the plot down." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", "\n", "\n", "\n", "
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\",\"dtype\":\"float64\",\"shape\":[1000]}},\"selected\":{\"id\":\"1905\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"1904\",\"type\":\"UnionRenderers\"}},\"id\":\"1814\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"callback\":null,\"data\":{\"__ECDF\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[1000]}},\"selected\":{\"id\":\"2850\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"2849\",\"type\":\"UnionRenderers\"}},\"id\":\"2699\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.01},\"fill_color\":{\"value\":\"#1f77b3\"},\"line_alpha\":{\"value\":0},\"line_color\":{\"value\":\"#1f77b3\"},\"x\":{\"field\":\"x\"},\"y\":{\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\",\"dtype\":\"float64\",\"shape\":[1000]}},\"selected\":{\"id\":\"2005\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"2004\",\"type\":\"UnionRenderers\"}},\"id\":\"1906\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.01},\"fill_color\":{\"value\":\"#1f77b3\"},\"line_alpha\":{\"value\":0},\"line_color\":{\"value\":\"#1f77b3\"},\"x\":{\"field\":\"x\"},\"y\":{\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P+iNQ9TyEJAxC/M/jCcQkBR3TiQ5chCQH+D+Ind8kNAPCEa4GN4QkC5NqSCVI1DQLMOb3vGh0RA4rXOgxRvQ0Atlg56hqxDQNf20bsZh0NAWoztwa49QkAt8y8Dq5BEQLGcBXBLUkNA5kQTCB0LRECMqjPuzeJDQCPOoMFqY0NA7c34uHdaQ0Amqgy0DMJDQJ7My5o2CUNAxoDR5dGYQ0BHkVLVDLVDQJ3yvfs9l0NAkFRFDkBqQ0Ccb+1uFNpCQDYO7R74JEJA2kEsgRsFREBv8kL5Y8JCQONw+6kivEJApFfIifd/Q0CgyUVZ8pZCQBvnCcXjakNA0z2j7h2sQ0Dcqa26XLZCQLFCwVyrrUJAYQYd9oxbQ0BUhNh/Q0JDQNUoZFsIWkNAD7abHCbdQkDJFd+/WLJCQBF/9Q4gQERA1bSqK1xhQkBzu/ML/pdDQElYFGEoAENAK0ikq3YyQkCYDbDkDIRDQKjdqnDPe0JA6m1dPRxBQ0AImu2Yuv1CQDJ+kBScvkNA9D9DjoS/Q0DKnfF8w2ZDQD0UqBrc0UNA320DCjcAQ0C9ccVoKZ5DQOXB2Db5F0NAYMsZpYx4Q0C0H6Gdz8pCQAGmKpqXsUNA10mMvOR7Q0Agd0pBtVRCQJlKyaCmBkNAj3DwVhtTRECxcSmxsgRDQKov5Wc8GUNAXlaOV/CoQkCA9qdI+0tDQNq0A0Nw50NA0lwTR5fJQkCmy4Jtr0VDQBfOdH0vwUJAbQS6hli8QkAWmm66tNJCQOywG3pfn0JAfPD+Fo2dQ0Cjy5C9tg5DQNuI2J7a6UJAKakTOUxFRUBo9Zq9uqpDQLk6eslrlUNAkeJvyHZDQ0BXnrXAs25DQPNP4yRRm0JAYT4SPZIMQkCMt+mFKm9DQGh5bLokdUNAtREqRTkvQ0DSjfj/4SZDQDgSntJQiEJAY3WbOP7BQUAdk0BXhg5FQHg2440jXUNAkOmb3njkQkCCendNmKlEQHsiteFJckJAomRGRfXCQ0BU5rFBhwdDQIxtb9ruRkJAiRW8GQi9Q0BGGlP3l7RCQGgCD1HRAURAjmT69qDTQ0Dw/lTWZmxCQJKKGgHKAERA8bR17tAsQ0DEuL+2G2dDQKD7eE3PqURAMOIo69AyQ0B3GMVbnJFCQB7BxtjvX0NAmKGEAMknQ0AormOgm0dEQOUFwSXKLENAF8YB0HbdQkDBYrdH5x1DQAc31nkAzENAwfq6NyHiQ0BYX5u2Q8tCQOOqrbMNc0NAvDAO2LimQ0BUIWYX1LhCQJgW8VPI9kNA+uCwk/ibQ0CtDZk0Yr5CQIQa1e4pBkRAYyzokIadQkCVlDv6nAZDQJKRWRZrN0JABCBcvyjMQ0BA6QfEvu1DQLYRZFQagERAc6o1hdqYQ0A06i7uVr5DQG1iXHWdVUNAtvx4K8MBQ0C+9z9B1tpBQDUojcG2V0NAVFiokeEcQ0BZeCxRSupCQCMY1Llb0UJAKqWUiJ86Q0AenoUsyLFDQKUwXPGz+kRAbwoLB3sDREAhJg6gsFhDQOac9bpjbUNAgjIVQ1x/Q0DDi3PqlE5EQCWeEpol2UNAPdi7KGLKQkAwgtz4AwhEQODHhHF1UUNAFp2QeLmjQ0CZfUIodIVDQHmfx6zdlENAmeRJDjgzQ0B8dDnffXlDQM6dO3CqSkJA6cAOesnKQ0AtgqdhK6RCQK92r4fNkUJAN7x6KC5VREB6O0ZjgHxEQL6kIplc/UJAtsB0NxlIQ0CN8NSeEotDQC0noGbRNENAr/aQ+3LxQ0DMLM3RyWNEQItPOGEGTUNA2YEwRnYpRECMdgEuJORCQDnDq7+AwENAaKAKzlotQ0Bb3097tW9DQBh3h8PnzUJAKa4tkPHvQ0AyOK27bdtBQILds5jSv0JAsrmpZEMxREDe/6muZCpDQBoWOruGEkNAX7w1TkUxQ0C/uhdbSipDQN9oQhhsiURAqZ9e+sGiREANHH29CdRCQA8yVlvZfENA0pbx7MmzQ0ApJTBh/2lDQDr927JB6kJA5c1ycduTQ0BXOnZHxT1DQDbncJs3XkNAGC9ypCh1Q0AOGYOmpA9EQIMTfrWM90NArICE9AEPREC6Kc1VG6lDQHPZje/o+UJArJo1Y8luREDhKcMHi4pDQG9qffd9VENAB3KV+9HTQ0BHVH3Dzj1CQCve+en3KkNAKVJVsN/UQ0AMdWGPAR5CQEAAyivsZUNAY5O04KR9QkApPAgrT8ZDQDle4Plm9UJAdfptMC8KREAPRhmSCBJEQLg/iZQVzEJAHMgdQhkLQ0A9G1rgTxdEQNXsPNH1uUNA9hQz/k2LQkDc59dBjmpDQGfUA2o1fUNAaOylmcKvQ0A6jzrut/hBQEgb7kzbCENAyJwzux1sQ0AqYe7ItoNCQA2LTxX5TkNARG9KQ+bWQkCL1lvBJh9EQLx5U/sgpkJAN8S8DsCcQ0DxAbtc92NDQOPSr6uvZUNAg7eCjbJPQ0ACCrbpBq1CQAvEqrf9AkNAF5BDTl0lQ0BA6Eh0yGlDQOBibMAppENACLkanfKEQkDzScWi06NCQGViFlLyP0JAmMh3lFUuQ0AXfPuA6FhDQHJH73KnqkJA9EdhFDxoREBk4Up/S2VDQPqkEQGZD0RA239k99JiQ0ATDj0PCtBDQBdzgGDTUUNAd96Fe0lkQ0BzF6atL7hDQAMs7BJWwkNA5P4ODJ9EQ0C7dtas8qJDQFz/Y3F2LUNA5NoGKzVpQ0AqNY48qElEQAmSPtcn8kNARUSo/h8tQ0A6MYT62IBDQMFfIyBTz0JA00zv635rQ0CawnwRYUFDQNp/KALuD0NAoHVa2BxWREBlfWks1DJEQBSLg4sU80FANGvmlVz/Q0DRzveKl3RDQFB9q9vB/0RAI6vuVjQ3Q0B0WYXrmLRDQAWpXmrkBUNAxwiicC4TREDMrlNz4IVDQIGidzozfkNAhE0s86QHQ0AvirVjliJEQJD/tz4k20JA89Qt4V2vQ0CRq7MGNaRDQPEGBhzWUkJA8606h+5jQ0AX5eSO8H5DQLI5639pNkNAeL5Ppbh/QkDTO4/8i/dDQJcoViFfhkNA3359s8a3QkAIEDSiT+NDQFZlDNPNDUNAznarqcPoQUCk1SB5QuBCQOapnAiPFkJADB25cqYkQ0Dih8S1HbZCQFYhmZV1WUNAXRbijrCWQ0BFHSXNWkhCQEatlF9aSURAtiSTANy0Q0Abyu1xbmJDQBFog3VAn0NAJZdTU6EGQ0CwL1NCMZpDQIc9/Y1AhUNA4DyLwOsgREDE4SBay75DQJAw4DB53kNAfOwcgdGpQkAbuiPew6dDQFTgJZTRXUNAh5Ei6i2vQkA86E1FBCpDQHEgqfE+Y0NAs58CLn73QkDBWtNM0wpDQJA1XViNcENA8vGeS0XlQkBUiudA4qREQMJ1k21rmENAujCiZHqoQ0Dn9uI68yZDQFyHcUVkGENAP29EjkEDQkAByzMcG7FDQMBMdtMYuEJAhGuwlx2IQ0D0hmDfqRJEQH5i0I5+z0NArrXbY0TOQkDp7RcOjlFDQEjtpxxbT0NA3IqTDfE6RED2RichKIBDQN5GMjUC2UNAXHyXnHx4RECiOHOY2p9DQHYvspUUgEJAci0wAhOSQ0D7eYs5j4dDQJDzHVIVWkJAaNgmXdOWQ0ASeCNSGKxCQMtPI/V1AkNAYcjLL37IRECH+jHn4IVEQFB7YMFc7EJAF5m7m8mRQkDohHcufhxFQJANRp7Up0NAVtwPSoOFQ0BNgME9d3RDQPKsqlRc60JAMuJq85EwQ0DbOLPDlAJDQHpScmbWlENAMtIAM2rdQkCg5N2+y3VDQKvf5lSrdkNAfCZLwLMQQ0Dbffg1gXJDQBcUl70HSENAEm9qmm0qQ0CbiYf2KddCQJ3r0IP7BkNAKam7d+DTQ0ACM0IOqItCQADZuywuVkJA+Gwb4RcJREC+nQ9RhzBDQNRwPM/NeENAbdfR0SAhQ0DuNQ8oBZlDQDH8v1rni0NAxeVSrOj/Q0CzdFVztUVCQJPhgEcuB0RASQThED3sQUDmNHTHYwFCQPa/n+GvpkNA43KtZFsiREBAKrueB6xDQHVf12Hf6EJAFG7SIe9PQkA+QdDMS/BDQGgJTybDtEJAZtaJd1zBQkBZ9q2nQXdDQCBGpPlqAkNA1hSPlCnOQ0BnalgpCERDQImUdvifB0JAP3+40P70Q0CTybuE34ZDQJYE7vAxnENAGVHLV09oQkBlGLHvtb5DQHg6dDJbjkJA2y9ux+xAREB6UDAJMCxEQHkpHV8KX0NAacQVxH0mRECUiZKH9/xDQAaC9srF/UFAU+T3NUbhQ0BfzrYdN+9CQArLOsC0tENAk3CgEzkGREAWtsJqi9JCQD9WROSXU0NAvAsPTHTVQ0Bt9NnR9cNCQAO7Bf50aEJA8XEJxz+4QkDi+6pGYNtCQGbCN14CfkJAj/hUxW7ARED/X8W/BnJDQKro+XXp0UNAZ7QwnUfzQ0D3GfFPQE1DQLMjdrpvJENAIXKm3OU3Q0AuR2ksZetCQETcL4yP2ERAF4ZfNKTWQ0D7Dc4cRvlCQHwQSrNCfkJAP153GNDJREA=\",\"dtype\":\"float64\",\"shape\":[1000]}},\"selected\":{\"id\":\"1954\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"1953\",\"type\":\"UnionRenderers\"}},\"id\":\"1859\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"data_source\":{\"id\":\"2774\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"2776\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_gl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\",\"dtype\":\"float64\",\"shape\":[1000]}},\"selected\":{\"id\":\"1585\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"1584\",\"type\":\"UnionRenderers\"}},\"id\":\"1526\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.01},\"fill_color\":{\"value\":\"#1f77b3\"},\"line_alpha\":{\"value\":0},\"line_color\":{\"value\":\"#1f77b3\"},\"x\":{\"field\":\"x\"},\"y\":{\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\",\"dtype\":\"float64\",\"shape\":[1000]}},\"selected\":{\"id\":\"4138\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"4137\",\"type\":\"UnionRenderers\"}},\"id\":\"3931\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"x\":{\"field\":\"x\"},\"y\":{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\",\"dtype\":\"float64\",\"shape\":[1000]}},\"selected\":{\"id\":\"3633\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"3632\",\"type\":\"UnionRenderers\"}},\"id\":\"3446\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"4138\",\"type\":\"Selection\"},{\"attributes\":{\"data_source\":{\"id\":\"3634\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"3636\",\"type\":\"Circle\"},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\",\"dtype\":\"float64\",\"shape\":[1000]}},\"selected\":{\"id\":\"3010\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"3009\",\"type\":\"UnionRenderers\"}},\"id\":\"2851\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.01},\"fill_color\":{\"value\":\"#1f77b3\"},\"line_alpha\":{\"value\":0},\"line_color\":{\"value\":\"#1f77b3\"},\"x\":{\"field\":\"x\"},\"y\":{\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\",\"dtype\":\"float64\",\"shape\":[1000]}},\"selected\":{\"id\":\"1525\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"1524\",\"type\":\"UnionRenderers\"}},\"id\":\"1474\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"x\":{\"field\":\"x\"},\"y\":{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\",\"dtype\":\"float64\",\"shape\":[1000]}},\"selected\":{\"id\":\"1429\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"1428\",\"type\":\"UnionRenderers\"}},\"id\":\"1394\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"callback\":null,\"data\":{\"__ECDF\":{\"__ndarray__\":\"5dAi2/l+0j/8qfHSTWLQPzeJQWDl0NI/MQisHFpk6z+8dJMYBFbeP7Kd76fGS+c//tR46SYx0D8nMQisHFrgP166SQwCK9c/dZMYBFYO7T/jpZvEILDiP57vp8ZLN8k/vHSTGARW1j/Xo3A9CtfTP0oMAiuHFuE/sHJoke187z+cxCCwcmjZP7pJDAIrh94/FK5H4XoUzj/ufD81XrrZPycxCKwcWug/exSuR+F6dD9Ei2zn+6npPxBYObTIduY/ke18PzVe4j8K16NwPQrvP3e+nxov3eg/jZduEoPA7j8730+Nl27iPzvfT42XbuY/Vg4tsp3v5z8K16NwPQrnP+kmMQisHOY/3SQGgZVD2z/TTWIQWDncP1TjpZvEIOQ/qvHSTWIQuD8nMQisHFrkP90kBoGVQ+8/j8L1KFyP4j9YObTIdr7XP6abxCCwcuw/qMZLN4lBwD8730+Nl27aP3npJjEIrNw/pHA9Ctej5D+kcD0K16PYP9Ei2/l+atQ/N4lBYOXQ2j8IrBxaZDuvP6wcWmQ73+s/5dAi2/l+2j9qvHSTGATmP5HtfD81Xro/exSuR+F65D9KDAIrhxbRP6abxCCwctg/xSCwcmiR6T/D9Shcj8K1PwAAAAAAAMA/y6FFtvP97D+uR+F6FK7fP8HKoUW28+E/9ihcj8L16D/0/dR46SbpP0a28/3UeOE//Knx0k1iwD9oke18PzXuP/Cnxks3ieU/K4cW2c734z/D9Shcj8LVPwRWDi2yne8/qvHSTWIQ4D8QWDm0yHbOP1YOLbKd798/O99PjZduoj8MAiuHFtnOP9v5fmq8dNs/SgwCK4cW5T+TGARWDi3uP6RwPQrXo+g/GQRWDi2yvT8AAAAAAADwP76fGi/dJMY/qMZLN4lB4D+cxCCwcmjRP83MzMzMzOQ/cT0K16Nw7T+LbOf7qfGyPxsv3SQGgd0/CKwcWmQ76z8QWDm0yHbeP/p+arx0k9A/eekmMQis6D9OYhBYObTgP5ZDi2zn+8k/tvP91Hjp7j/6fmq8dJOIP2q8dJMYBOo/hetRuB6Fyz81XrpJDALLP0w3iUFg5aA/arx0kxgE4j/8qfHSTWKAP2Q730+Nl+I/rBxaZDvf5z+HFtnO91PDP6JFtvP91Og/mpmZmZmZ2T89CtejcD3mP8uhRbbz/eA/Gy/dJAaB6T8hsHJoke3UP4cW2c73U+M/qvHSTWIQ6D+0yHa+nxrrP9ejcD0K1+c/BoGVQ4ts3z8zMzMzMzPDP3npJjEIrOw/1XjpJjEI3D/pJjEIrByqP99PjZduEu8/ppvEILBy4D9kO99PjZfOP3e+nxov3ew/d76fGi/d3D8X2c73U+PVP83MzMzMzNQ/BFYOLbKd5z9SuB6F61HsP76fGi/dJO4/hxbZzvdT2z8rhxbZzvfbPz81XrpJDOo/K4cW2c73sz+yne+nxkvHPxkEVg4tss0/y6FFtvP95D/NzMzMzMzgPylcj8L1KOQ/PQrXo3A92j9CYOXQItvpP9Ei2/l+auQ/gZVDi2znuz+BlUOLbOfrP39qvHSTGMQ/N4lBYOXQ7j99PzVeuknkP8dLN4lBYOk/0SLb+X5q4D8pXI/C9Si8PwRWDi2yneM/uB6F61G4vj/VeOkmMQjMP9Ei2/l+aug/GQRWDi2y1T+oxks3iUHsP1g5tMh2vus/aJHtfD81zj9CYOXQItvRP8uhRbbz/aQ/BoGVQ4ts6z8CK4cW2c7rPxsv3SQGgcU/FK5H4XoU6j9qvHSTGAS2PxBYObTIdtY/okW28/3U7D8dWmQ730/pP7gehetRuNY/JQaBlUOL1D/ZzvdT46WrP0jhehSuR+0/2/l+arx04z+6SQwCK4emPyGwcmiR7eQ/7FG4HoXr4T/n+6nx0k3aP/LSTWIQWLk/uB6F61G47j+WQ4ts5/vZP8/3U+Olm9Q/cT0K16Nw3T+e76fGSzflP7ByaJHtfNc/EoPAyqFF6j9iEFg5tMi2P8P1KFyPwuE/2c73U+Ol6z85tMh2vp+qPz81XrpJDNo/Rrbz/dR4yT/dJAaBlUPTPx1aZDvfT+E/XrpJDAIr5z+PwvUoXI/uP1g5tMh2vp8/7FG4HoXr5T+0yHa+nxrvP4lBYOXQIuc/L90kBoGV5z85tMh2vp/KP7ByaJHtfN8/x0s3iUFg7T+WQ4ts5/vhP5qZmZmZmdE/i2zn+6nx7j8hsHJoke3gP28Sg8DKoeU/jZduEoPA2j9oke18PzXmP5zEILByaOE/uB6F61G44j99PzVeukngP+F6FK5H4co/sp3vp8ZL1z+e76fGSzfRPwwCK4cW2e4/7FG4HoXr7T9YObTIdr7nP/hT46WbxOQ/qvHSTWIQ0D9U46WbxCCwP8P1KFyPwu0/ke18PzVeyj8MAiuHFtnePzvfT42Xbu4/f2q8dJMY5D/HSzeJQWDdP/p+arx0k9g/nMQgsHJosT8ZBFYOLbKdP3sUrkfherQ/exSuR+F6lD9eukkMAivfP7ByaJHtfL8/1XjpJjEI6D/Jdr6fGi/pP0jhehSuR8E/exSuR+F61D+LbOf7qfGiPyUGgZVDi+Q/K4cW2c735z9aZDvfT43vPzVeukkMAu8/XI/C9Shc5z9I4XoUrkfZP42XbhKDwOo/mpmZmZmZqT+HFtnO91PTPzeJQWDl0OY/BFYOLbKd1z8CK4cW2c7vP23n+6nx0uk/YhBYObTI1j9zaJHtfD/dP7Kd76fGS7c/lkOLbOf75T+0yHa+nxrjP7pJDAIrh+4/5dAi2/l+yj/NzMzMzMzcPzvfT42Xbuo/ZDvfT42X7j8/NV66SQzCP0SLbOf7qdE/TmIQWDm02D9qvHSTGATeP0SLbOf7qdk/CKwcWmQ7zz8OLbKd76fqPz0K16NwPeI/bxKDwMqh3T/Jdr6fGi/hP/YoXI/C9dg/ObTIdr6f2j+TGARWDi3mP0w3iUFg5dA/30+Nl24S4z/b+X5qvHTnPwAAAAAAAOA/JzEIrBxa7D/ZzvdT46XvPylcj8L1KMw/MzMzMzMz7z+DwMqhRbbbP8HKoUW28+0/001iEFg5xD8K16NwPQrXPzm0yHa+n5o/g8DKoUW20z/ufD81XrrpP57vp8ZLN+0/8tJNYhBY4T9g5dAi2/nuP4GVQ4ts59M/TDeJQWDl7D9U46WbxCDYP2iR7Xw/Nd4/eekmMQis5D9YObTIdr7PP7bz/dR46eY/1XjpJjEI1D9vEoPAyqHhP+xRuB6F6+k/UI2XbhKDwD8CK4cW2c7fP/yp8dJNYnA/jZduEoPA4j8xCKwcWmTjP9nO91Pjpec/UI2XbhKD6D+JQWDl0CLbPzVeukkMAus/YOXQItv5zj+6SQwCK4fWPz81XrpJDNI/8tJNYhBYyT+8dJMYBFbuP8/3U+Olm8Q/cT0K16NwvT+iRbbz/dTkP30/NV66Seg/kxgEVg4t0j/b+X5qvHTvP5zEILByaME/4XoUrkfh7j+PwvUoXI/SP9V46SYxCOA/d76fGi/d4D+yne+nxkvrP1K4HoXrUdA/tvP91Hjp4j8Sg8DKoUXGP7TIdr6fGt8/wcqhRbbz6T+YbhKDwMrRP+f7qfHSTdI/DAIrhxbZ4j8ZBFYOLbLtP2Dl0CLb+eI/vp8aL90k6j956SYxCKy8P7pJDAIrh+Y/okW28/3UyD9aZDvfT42XP9NNYhBYOdQ/MQisHFpkuz/y0k1iEFjtP3e+nxov3cQ/8KfGSzeJ7T/8qfHSTWJQPx1aZDvfT90/FK5H4XoU4j9QjZduEoPsP0SLbOf7qcE/exSuR+F6xD9cj8L1KFzfP23n+6nx0tU/tvP91Hjpxj9kO99PjZfmP9NNYhBYOeA/rkfhehSu4z91kxgEVg7hPx+F61G4HtU/L90kBoGV0z89CtejcD3uP1CNl24Sg9g/F9nO91Pj5T/b+X5qvHTDP2iR7Xw/Nb4/cT0K16Nw5T8730+Nl26CP/p+arx0k7g/5dAi2/l+7j9QjZduEoPQP7Kd76fGS+M/ppvEILBy0D8fhetRuB7FPxsv3SQGgbU/6SYxCKwc6j/2KFyPwvXIPwAAAAAAAOg/BFYOLbKdzz8j2/l+arzgP8/3U+Olm+Q/hetRuB6F5z+iRbbz/dTQP6wcWmQ73+M/XrpJDAIr7z/0/dR46SaxP5MYBFYOLdo/rkfhehSu6z/n+6nx0k3CP/7UeOkmMew/Rrbz/dR46T8X2c73U+PtPzMzMzMzM9M/fT81XrpJ1D+6SQwCK4eGPy/dJAaBlds/y6FFtvP9tD+cxCCwcmihP8HKoUW289U/Gy/dJAaB4T9OYhBYObTkP5MYBFYOLcI/WmQ730+N1z8K16NwPQrfP0Jg5dAi2+U/0SLb+X5qzD9cj8L1KFzrPylcj8L1KOg/+FPjpZvE7D9mZmZmZmbqPzm0yHa+n9I/i2zn+6nx6j9CYOXQItvhPxsv3SQGgZU/LbKd76fG7z+F61G4HoXvP4GVQ4ts5+8/exSuR+F66D/LoUW28/3EP57vp8ZLN+E/bef7qfHS4T9iEFg5tMjmPwIrhxbZzuM/HVpkO99PzT8v3SQGgZXjP3WTGARWDs0/UrgehetR5D9GtvP91HjtP5qZmZmZmeE/WmQ730+N5z8CK4cW2c63P/hT46WbxNg/vHSTGARW4j9vEoPAyqHFP8UgsHJokeU/PzVeukkM4j+Nl24Sg8DmP4PAyqFFtuc/4XoUrkfhuj9qvHSTGATuP8UgsHJokeE/XI/C9Shc1z8bL90kBoHlP6wcWmQ7398/16NwPQrX4z/RItv5fmq8P1pkO99Pjd8/Di2yne+n1j9zaJHtfD/pP3Noke18P+E/ZmZmZmZmxj9U46WbxCDAP0a28/3UeOU/j8L1KFyPwj99PzVeukncP/p+arx0k6g/7nw/NV664T/RItv5fmrcP1g5tMh2vr8/y6FFtvP96D8GgZVDi2zHP7TIdr6fGs8/L90kBoGV6z/hehSuR+HiP39qvHSTGNQ/7nw/NV660T/6fmq8dJPkP1pkO99Pjbc/okW28/3U4D+BlUOLbOfbP5zEILByaJE/8tJNYhBY2T/P91PjpZvcP3sUr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\",\"dtype\":\"float64\",\"shape\":[1000]}},\"selected\":{\"id\":\"2929\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"2928\",\"type\":\"UnionRenderers\"}},\"id\":\"2774\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"callback\":null,\"data\":{\"__ECDF\":{\"__ndarray__\":\"iUFg5dAiuz8xCKwcWmTvP28Sg8DKodU/SgwCK4cW7T85tMh2vp+KPwaBlUOLbO8/N4lBYOXQ7j/pJjEIrBzmPylcj8L1KKw/oBov3SQG2T9KDAIrh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\",\"dtype\":\"float64\",\"shape\":[1000]}},\"selected\":{\"id\":\"4578\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"4577\",\"type\":\"UnionRenderers\"}},\"id\":\"4355\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"1498\",\"type\":\"Selection\"},{\"attributes\":{\"data_source\":{\"id\":\"1730\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"1732\",\"type\":\"Circle\"},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\",\"dtype\":\"float64\",\"shape\":[1000]}},\"selected\":{\"id\":\"3354\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"3353\",\"type\":\"UnionRenderers\"}},\"id\":\"3179\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"x\":{\"field\":\"x\"},\"y\":{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\",\"dtype\":\"float64\",\"shape\":[1000]}},\"selected\":{\"id\":\"1858\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"1857\",\"type\":\"UnionRenderers\"}},\"id\":\"1771\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"callback\":null,\"data\":{\"__ECDF\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[1000]}},\"selected\":{\"id\":\"1410\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"1409\",\"type\":\"UnionRenderers\"}},\"id\":\"1379\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"items\":[{\"id\":\"1378\",\"type\":\"LegendItem\"}],\"visible\":false},\"id\":\"1377\",\"type\":\"Legend\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.01},\"fill_color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\",\"dtype\":\"float64\",\"shape\":[1000]}},\"selected\":{\"id\":\"3093\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"3092\",\"type\":\"UnionRenderers\"}},\"id\":\"2930\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"x\":{\"field\":\"x\"},\"y\":{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\",\"dtype\":\"float64\",\"shape\":[1000]}},\"selected\":{\"id\":\"2625\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"2624\",\"type\":\"UnionRenderers\"}},\"id\":\"2486\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"2289\",\"type\":\"UnionRenderers\"},{\"attributes\":{},\"id\":\"4353\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"data_source\":{\"id\":\"1499\",\"type\":\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\",\"dtype\":\"float64\",\"shape\":[1000]}},\"selected\":{\"id\":\"2698\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"2697\",\"type\":\"UnionRenderers\"}},\"id\":\"2555\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"2929\",\"type\":\"Selection\"},{\"attributes\":{\"callback\":null,\"data\":{\"__ECDF\":{\"__ndarray__\":\"9P3UeOkm2T8nMQisHFrUP3e+nxov3ew/iUFg5dAiuz/l0CLb+X7SP/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\",\"dtype\":\"float64\",\"shape\":[1000]}},\"selected\":{\"id\":\"1498\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"1497\",\"type\":\"UnionRenderers\"}},\"id\":\"1451\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"2228\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"source\":{\"id\":\"2851\",\"type\":\"ColumnDataSource\"}},\"id\":\"2856\",\"type\":\"CDSView\"},{\"attrib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\",\"dtype\":\"float64\",\"shape\":[1000]}},\"selected\":{\"id\":\"2170\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"2169\",\"type\":\"UnionRenderers\"}},\"id\":\"2059\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"source\":{\"id\":\"4246\",\"type\":\"ColumnDataSource\"}},\"id\":\"4251\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"2485\",\"type\":\"Selection\"},{\"attributes\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\",\"dtype\":\"float64\",\"shape\":[1000]}},\"selected\":{\"id\":\"3829\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"3828\",\"type\":\"UnionRenderers\"}},\"id\":\"3634\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"1354\",\"type\":\"SaveTool\"},{\"attributes\":{\"callback\":null,\"data\":{\"__ECDF\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[1000]}},\"selected\":{\"id\":\"3538\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"3537\",\"type\":\"UnionRenderers\"}},\"id\":\"3355\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"source\":{\"id\":\"1499\",\"type\":\"ColumnDataSource\"}},\"id\":\"1504\",\"type\":\"CDSView\"},{\"attributes\":{\"source\":{\"id\":\"2419\",\"type\":\"ColumnDataSource\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\",\"dtype\":\"float64\",\"shape\":[1000]}},\"selected\":{\"id\":\"2554\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"2553\",\"type\":\"UnionRenderers\"}},\"id\":\"2419\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"3537\",\"type\":\"UnionRenderers\"},{\"attributes\":{},\"id\":\"2484\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"callback\":null,\"data\":{\"__ECDF\":{\"_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\",\"dtype\":\"float64\",\"shape\":[1000]}},\"selected\":{\"id\":\"3265\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"3264\",\"type\":\"UnionRenderers\"}},\"id\":\"3094\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.01},\"fill_color\":{\"value\":\"#1f77b3\"},\"line_alpha\":{\"value\":0},\"line_color\":{\"value\":\"#1f77b3\"},\"x\":{\"field\":\"x\"},\"y\":{\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\",\"dtype\":\"float64\",\"shape\":[1000]}},\"selected\":{\"id\":\"3730\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"3729\",\"type\":\"UnionRenderers\"}},\"id\":\"3539\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"data_source\":{\"id\":\"2419\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"2421\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_gl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\",\"dtype\":\"float64\",\"shape\":[1000]}},\"selected\":{\"id\":\"1393\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"1392\",\"type\":\"UnionRenderers\"}},\"id\":\"1364\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"callback\":null,\"data\":{\"__ECDF\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[1000]}},\"selected\":{\"id\":\"2353\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"2352\",\"type\":\"UnionRenderers\"}},\"id\":\"2230\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.01},\"fill_color\":{\"value\":\"#1f77b3\"},\"line_alpha\":{\"value\":0},\"line_color\":{\"value\":\"#1f77b3\"},\"x\":{\"field\":\"x\"},\"y\":{\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\",\"dtype\":\"float64\",\"shape\":[1000]}},\"selected\":{\"id\":\"1554\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"1553\",\"type\":\"UnionRenderers\"}},\"id\":\"1499\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"x\":{\"field\":\"x\"},\"y\":{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\",\"dtype\":\"float64\",\"shape\":[1000]}},\"selected\":{\"id\":\"4465\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"4464\",\"type\":\"UnionRenderers\"}},\"id\":\"4246\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"data_source\":{\"id\":\"3830\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"3832\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_gl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\",\"dtype\":\"float64\",\"shape\":[1000]}},\"selected\":{\"id\":\"4354\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"4353\",\"type\":\"UnionRenderers\"}},\"id\":\"4139\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"callback\":null,\"data\":{\"__ECDF\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[1000]}},\"selected\":{\"id\":\"2485\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"2484\",\"type\":\"UnionRenderers\"}},\"id\":\"2354\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"1769\",\"type\":\"UnionRenderers\"},{\"attributes\":{},\"id\":\"3929\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.01},\"fill_colo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\",\"dtype\":\"float64\",\"shape\":[1000]}},\"selected\":{\"id\":\"3930\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"3929\",\"type\":\"UnionRenderers\"}},\"id\":\"3731\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"4464\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.01},\"fill_color\":{\"value\":\"#1f77b3\"},\"line_alpha\":{\"value\":0},\"line_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\",\"dtype\":\"float64\",\"shape\":[1000]}},\"selected\":{\"id\":\"1813\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"1812\",\"type\":\"UnionRenderers\"}},\"id\":\"1730\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"callback\":null,\"data\":{\"__ECDF\":{\"__ndarray__\":\"7FG4HoXroT+TGARWDi3mP5huEoPAyuk/Rrbz/dR4yT8730+Nl27SPycxCKwcWuw/+FPjpZvE6D/pJjEIrBzSP57vp8ZLN8k/jZduEoPA7j91kxgEV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\",\"dtype\":\"float64\",\"shape\":[1000]}},\"selected\":{\"id\":\"1653\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"1652\",\"type\":\"UnionRenderers\"}},\"id\":\"1586\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"1473\",\"type\":\"Selection\"},{\"attributes\":{\"callback\":null,\"data\":{\"__ECDF\":{\"__ndarray__\":\"qvHSTWIQ6D+yne+nxkvHP/T91HjpJsE/bxKDwMqh6T9GtvP91HjRPz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\",\"dtype\":\"float64\",\"shape\":[1000]}},\"selected\":{\"id\":\"1450\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"1449\",\"type\":\"UnionRenderers\"}},\"id\":\"1411\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.01},\"fill_color\":{\"value\":\"#1f77b3\"},\"line_alpha\":{\"value\":0},\"line_color\":{\"value\":\"#1f77b3\"},\"x\":{\"field\":\"x\"},\"y\":{\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\",\"dtype\":\"float64\",\"shape\":[1000]}},\"selected\":{\"id\":\"1473\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"1472\",\"type\":\"UnionRenderers\"}},\"id\":\"1430\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"x\":{\"field\":\"x\"},\"y\":{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\",\"dtype\":\"float64\",\"shape\":[1000]}},\"selected\":{\"id\":\"1729\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"1728\",\"type\":\"UnionRenderers\"}},\"id\":\"1654\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"source\":{\"id\":\"2291\",\"type\":\"ColumnDataSource\"}},\"id\":\"2296\",\"type\":\"CDSView\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\"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\",\"dtype\":\"float64\",\"shape\":[1000]}},\"selected\":{\"id\":\"1770\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"1769\",\"type\":\"UnionRenderers\"}},\"id\":\"1691\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"2005\",\"type\":\"Selection\"},{\"attributes\":{},\"id\":\"2418\",\"type\":\"Selection\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.01},\"fill_color\":{\"val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\",\"dtype\":\"float64\",\"shape\":[1000]}},\"selected\":{\"id\":\"2058\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"2057\",\"type\":\"UnionRenderers\"}},\"id\":\"1955\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"3930\",\"type\":\"Selection\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.01},\"fill_color\":{\"value\":\"#1f77b3\"},\"line_alpha\":{\"value\":0},\"line_color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\",\"dtype\":\"float64\",\"shape\":[1000]}},\"selected\":{\"id\":\"2290\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"2289\",\"type\":\"UnionRenderers\"}},\"id\":\"2171\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"x\":{\"field\":\"x\"},\"y\":{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\",\"dtype\":\"float64\",\"shape\":[1000]}},\"selected\":{\"id\":\"2113\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"2112\",\"type\":\"UnionRenderers\"}},\"id\":\"2006\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"2850\",\"type\":\"Selection\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.01},\"fill_color\":{\"value\":\"#1f77b3\"},\"line_alpha\":{\"value\":0},\"line_color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\",\"dtype\":\"float64\",\"shape\":[1000]}},\"selected\":{\"id\":\"2773\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"2772\",\"type\":\"UnionRenderers\"}},\"id\":\"2626\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"2170\",\"type\":\"Selection\"},{\"attributes\":{\"source\":{\"id\":\"2006\",\"type\":\"ColumnDataSource\"}},\"id\":\"2011\",\"type\":\"CDSView\"},{\"attributes\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\",\"dtype\":\"float64\",\"shape\":[1000]}},\"selected\":{\"id\":\"1618\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"1617\",\"type\":\"UnionRenderers\"}},\"id\":\"1555\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"callback\":null,\"data\":{\"__ECDF\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[1000]}},\"selected\":{\"id\":\"2418\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"2417\",\"type\":\"UnionRenderers\"}},\"id\":\"2291\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"source\":{\"id\":\"2555\",\"type\":\"ColumnDataSource\"}},\"id\":\"2560\",\"type\":\"CDSView\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"__ECDF\"}},\"id\":\"1589\",\"type\":\"Circle\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.01},\"fill_color\":{\"value\":\"#1f77b3\"},\"line_alpha\":{\"value\":0},\"line_color\":{\"value\":\"#1f77b3\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"__ECDF\"}},\"id\":\"1432\",\"type\":\"Circle\"},{\"attributes\":{\"source\":{\"id\":\"1430\",\"type\":\"ColumnDataSource\"}},\"id\":\"1435\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"1728\",\"type\":\"UnionRenderers\"},{\"attributes\":{},\"id\":\"1617\",\"type\":\"UnionRenderers\"},{\"attributes\":{},\"id\":\"1449\",\"type\":\"UnionRenderers\"}],\"root_ids\":[\"1332\"]},\"title\":\"Bokeh Application\",\"version\":\"1.4.0\"}};\n", " var render_items = [{\"docid\":\"0a715f17-39bf-41ce-8efc-0b06fa05b1d0\",\"roots\":{\"1332\":\"d06c2584-d89a-4f34-9ed7-b6d76a753d33\"}}];\n", " root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n", "\n", " }\n", " if (root.Bokeh !== undefined) {\n", " embed_document(root);\n", " } else {\n", " var attempts = 0;\n", " var timer = setInterval(function(root) {\n", " if (root.Bokeh !== undefined) {\n", " clearInterval(timer);\n", " embed_document(root);\n", " } else {\n", " attempts++;\n", " if (attempts > 100) {\n", " clearInterval(timer);\n", " console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n", " }\n", " }\n", " }, 10, root)\n", " }\n", "})(window);" ], "application/vnd.bokehjs_exec.v0+json": "" }, "metadata": { "application/vnd.bokehjs_exec.v0+json": { "id": "1332" } }, "output_type": "display_data" } ], "source": [ "p = bokeh_catplot.ecdf(\n", " ell[0],\n", " x_axis_label=\"spindle length (µm)\",\n", " marker_kwargs=dict(alpha=0.01, line_alpha=0),\n", ")\n", "for ell_vals in ell[19::20]:\n", " p = bokeh_catplot.ecdf(ell_vals, p=p, marker_kwargs=dict(alpha=0.01, line_alpha=0))\n", "\n", "bokeh.io.show(p)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This looks reasonable, except for the occasional negative spindle lengths. We will investigate treating these in a moment.\n", "\n", "Another option for display is to plot percentiles of the ECDFs. We can do this using the `bebi103.viz.predictive_ecdf()` function. It expects input as a Numpy array of shape $n_s \\times N$, where $n_s$ is the number of samples and $N$ is the number of data points. This is exactly what the variable `ell` is now." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", "\n", "\n", "\n", "
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x_axis_label=\"spindle length (µm)\"))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In this plot, the median ECDF is shown in the middle, and the colors going out from the median contain the middle 20th, 40th, 60th, and 80th percentiles. The extent of the ECDF gives an indication of the extreme values in the prior predictive data set. The bulk of the spindle lengths lie in a reasonable region, somewhere between zero and 30 µm.\n", "\n", "We may be willing to tolerate the negative spindle length values in our model, since any data set, containing no negative values, could easily tug the posterior into positive spindle lengths. Nonetheless, let's check how many negative spindle lengths we get from our generative model. We will compute the fraction of spindle lengths that are negative from our generative model for each of the 1000 data sets we generated and then plot the results as an ECDF." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", "\n", "\n", "\n", "
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The total fraction of negative spindle lengths of all generated data sets can be calculated." ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.055756" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "(ell < 0).sum() / (N * n_ppc_samples)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "So, more than 5% of generated data points are unphysical. Again, we could decide to tolerate this, but I will instead propose another model." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### The prior, take 3\n", "\n", "It makes sense that the standard deviation of the spindle length may scale with the spindle length itself. We can express this as\n", "\n", "\\begin{align}\n", "&\\sigma_0 \\sim \\text{Gamma}(2, 10), \\\\[1em]\n", "&\\sigma = \\sigma_0\\, \\phi.\n", "\\end{align}\n", "\n", "That is, $\\sigma$ scales linearly with $\\phi$ with constant of proportionality $\\sigma_0$. The prior we have chosen for $\\sigma_0$ looks like this." ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "application/vnd.holoviews_exec.v0+json": "", "text/html": [ "
\n", "\n", "\n", "\n", "\n", "\n", "
\n", "
\n", "" ], "text/plain": [ ":Curve [σ₀ [µm]] (g(σ₀) [1/µm])" ] }, "execution_count": 11, "metadata": { "application/vnd.holoviews_exec.v0+json": { "id": "5865" } }, "output_type": "execute_result" } ], "source": [ "sigma_0 = np.linspace(0, 1, 200)\n", "hv.Curve(\n", " (sigma_0, st.gamma.pdf(sigma_0, 2, loc=0, scale=0.1)),\n", " kdims='σ₀ [µm]',\n", " vdims='g(σ₀) [1/µm]'\n", ").opts(\n", " xlim=(0, 1)\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "So, our new complete generative model is\n", "\n", "\\begin{align}\n", "&\\phi \\sim \\text{LogNorm}(\\ln 20, 0.75),\\\\[1em]\n", "&\\sigma_0 \\sim \\text{Gamma}(2, 10),\\\\[1em]\n", "&\\sigma = \\sigma_0\\,\\phi,\\\\[1em]\n", "&l_i \\sim \\text{Norm}(\\phi, \\sigma)\\; \\forall i.\n", "\\end{align}" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Prior predictive checks, take 2\n", "\n", "We can again generate our prior predictive data sets." ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", "\n", "\n", "\n", "
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np.random.lognormal(np.log(20), 0.75, size=n_ppc_samples)\n", "sigma_0 = np.random.gamma(2, 1 / 10, size=n_ppc_samples)\n", "sigma = sigma_0 * phi\n", "\n", "# Draw data sets out of the likelihood for each set of prior params\n", "ell = np.array([np.random.normal(ph, sig, size=len(df)) for ph, sig in zip(phi, sigma)])\n", "\n", "# Show the prior predictive ECDF\n", "bokeh.io.show(bebi103.viz.predictive_ecdf(ell, x_axis_label=\"spindle length (µm)\"))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We still get some negative spindle lengths, but far fewer. The distribution of data in the data sets also seems reasonable. Let's compute what fraction are negative." ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", "\n", "\n", "\n", "
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x_axis_label=\"fraction of negative spindle lengths\"\n", ")\n", "bokeh.io.show(p)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now most data sets do not contain any negative spindle lengths and those that do contain a much smaller fraction. This seems like a more reasonable prior, and we settle on this as our generative model for the case where spindle length is independent of droplet size." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Prior predictive checks with Stan\n", "\n", "While generating the data sets to be used in prior predictive checks is intuitive and easy using Numpy, I find it is more convenient to do it in Stan. This may not be obvious now, but will become clearer later when we construct an entire workflow including prior and posterior predictive checks and use simulation-based calibration.\n", "\n", "Generating prior predictive samples typically does not require Markov chain Monte Carlo, but the random number generation we are more familiar with. Stan does allow for this kind of random number generation. If you want to draw a sample out of one of Stan's distributions, append the name of the distribution with `_rng`. Unlike Numpy's and Scipy's random number generators, Stan's RNGs can only draw one sample at a time. Therefore, we have to put the random number generation in a `for` loop. The code below demonstrates this.\n", "\n", "```stan\n", "data {\n", " int N;\n", "}\n", "\n", "\n", "generated quantities {\n", " // Parameters\n", " real phi;\n", " real sigma_0;\n", "\n", " // Data\n", " real ell[N];\n", "\n", " phi = lognormal_rng(3.0, 0.75);\n", " sigma_0 = gamma_rng(2.0, 10.0);\n", "\n", " for (i in 1:N) {\n", " ell[i] = normal_rng(phi, sigma_0 * phi);\n", " }\n", "}\n", "```\n", "\n", "The `data` block contains `N`, the number of `ell` values we want to generate. The `generated quantities` block defines variables we want to store, in this case `phi`, `sigma_0` and `ell`. We first generate values for `phi` and `sigma_0` and then use those values to generate data `ell`. Note that the parameter `sigma`, which is given by the product of $\\sigma_0$ and $\\phi$, is also generated and is used to generate `ell`. However, we do not need to store this, since it is determined from `sigma_0` and `phi` samples. Parameters in the `generated quantities` block that are enclosed in braces (outside of if statements and for loops, of course) are not saved in the output.\n", "\n", "The above code will be useful for our prior predictive checks, but if we want to tweak some of the parametrizations of the priors (e.g., we might want $\\phi\\sim \\text{LogNorm}(4, 1)$ instead of $\\phi \\sim \\text{LogNorm}(3, 0.75)$), we will have to adjust the Stan code and recompile. For the purposes of prior predictive checks, we may also want to include these values in the `data` block and pass them in as the `data` kwarg when sampling.\n", "\n", "```stan\n", "data {\n", " int N;\n", " real phi_mu;\n", " real phi_sigma;\n", " real sigma_0_alpha;\n", " real sigma_0_beta;\n", "}\n", "\n", "\n", "generated quantities {\n", " // Parameters\n", " real phi;\n", " real sigma_0;\n", "\n", " // Data\n", " real ell[N];\n", "\n", " phi = lognormal_rng(phi_mu, phi_sigma);\n", " sigma_0 = gamma_rng(sigma_0_alpha, sigma_0_beta);\n", "\n", " for (i in 1:N) {\n", " ell[i] = normal_rng(phi, sigma_0 * phi);\n", " }\n", "}\n", "\n", "```\n", "\n", "Let's build this Stan model." ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO:cmdstanpy:stan to c++ (/Users/bois/Dropbox/git/bebi103_course/2020/b/content/lessons/lesson_05/indep_size_model_prior_predictive.hpp)\n", "INFO:cmdstanpy:compiling c++\n", "INFO:cmdstanpy:compiled model file: /Users/bois/Dropbox/git/bebi103_course/2020/b/content/lessons/lesson_05/indep_size_model_prior_predictive\n" ] } ], "source": [ "sm_prior_pred = cmdstanpy.CmdStanModel(\n", " stan_file=\"indep_size_model_prior_predictive.stan\"\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To draw the samples, we specify the contents of the inputted `data` block, and then sample. We need to use the kwarg `fixed_param=True` to alert Stan that it will not need to do any MCMC sampling, but rather just run the `generated quantities` block." ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO:cmdstanpy:start chain 1\n", "INFO:cmdstanpy:finish chain 1\n" ] } ], "source": [ "data = {\n", " \"N\": N,\n", " \"phi_mu\": 3.0,\n", " \"phi_sigma\": 0.75,\n", " \"sigma_0_alpha\": 2.0,\n", " \"sigma_0_beta\": 10.0,\n", "}\n", "\n", "samples = sm_prior_pred.sample(data=data, sampling_iters=1000, fixed_param=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As usual, we would like to convert the output to an ArviZ `InferenceData` instance. Note that due to a bug in ArviZ, which will be [fixed in the next release](https://github.com/arviz-devs/arviz/pull/979), we need to specify the posterior *and* prior as the prior to extract samples. Additionally, we specify a list of parameter values we want to designate as prior predictive using the `prior_predictive` kwarg. Instead of the call to `az.from_cmdstanpy()` in the code cell below, in the next release, we would use\n", "\n", "```python\n", "samples = az.from_cmdstanpy(prior=samples, prior_predictive=['ell'])\n", "```\n", "\n", "Use this call if your ArviZ version number of 0.6.2 or above, For 0.6.1 (current as of January 30, 2020), use the call below." ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [], "source": [ "samples = az.from_cmdstanpy(posterior=samples, prior=samples, prior_predictive=['ell'])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can pass the array stored in `samples.prior_predictive['ell']` directly into the `bebi103.viz.predictive_ecdf()` function to get the predictive ECDF." ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", "\n", "\n", "\n", "
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bebi103.viz.predictive_ecdf(samples.prior_predictive['ell'])\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The result is of course the same as when generating data sets with Numpy.\n", "\n", "As you can see, it is a bit more verbose to use Stan to generate the prior predictive samples. The calculation time is also substantially longer because of the time required for compilation. Nonetheless, it is often advantageous to use Stan for this stage of an analysis pipeline because when we do [simulation based calibration (SBC)](https://arxiv.org/pdf/1804.06788.pdf) of our models, it is useful to have everything written in Stan." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Model 2: Spindle size dependent on total tubulin concentration\n", "\n", "While we have already worked with the conserved tubulin model, it is instructive to consider again how it is derived. This enables us to think about model building in terms of identifiability of parameters.\n", "\n", "The conserved tubulin model hinges on the following principles.\n", "\n", "1. The total amount of tubulin in the droplet or cell is conserved.\n", "2. The total length of polymerized microtubules is a function of the total tubulin concentration after assembly of the spindle. This results from the balances of microtubule polymerization rate with catastrophe frequencies.\n", "3. The density of tubulin in the spindle is independent of droplet or cell volume.\n", "\n", "Assumption 1 (conservation of tubulin) implies\n", "\n", "\\begin{align}\n", "T_0 V_0 = T_1(V_0 - V_\\mathrm{s}) + T_\\mathrm{s}V_\\mathrm{s},\n", "\\end{align}\n", "\n", "where $V_0$ is the volume of the droplet or cell, $V_\\mathrm{s}$ is the volume of the spindle, $T_0$ is the total tubulin concentration (polymerized or not), $T_1$ is the tubulin concentration in the cytoplasm after the the spindle has formed, and $T_\\mathrm{s}$ is the concentration of tubulin in the spindle. If we assume the spindle does not take up much of the total volume of the droplet or cell ($V_0 \\gg V_\\mathrm{s}$, which is the case as we will see when we look at the data), we have\n", "\n", "\\begin{align}\n", "T_1 \\approx T_0 - \\frac{V_\\mathrm{s}}{V_0}\\,T_\\mathrm{s}.\n", "\\end{align}\n", "\n", "The amount of tubulin in the spindle can we written in terms of the total length of polymerized microtubules, $L_\\mathrm{MT}$ as\n", "\n", "\\begin{align}\n", "T_s V_\\mathrm{s} = \\alpha L_\\mathrm{MT},\n", "\\end{align}\n", "\n", "where $\\alpha$ is the tubulin concentration per unit microtubule length. (We will see that it is unimportant, but from the known geometry of microtubules, $\\alpha \\approx 2.7$ nmol/µm.)\n", "\n", "We formalize assumption 2 into a mathematical expression. Microtubule length should grow with increasing $T_1$. There should also be a minimal threshold $T_\\mathrm{min}$ where polymerization stops. We therefore approximate the total microtubule length as a linear function,\n", "\n", "\\begin{align}\n", "L_\\mathrm{MT} \\approx \\left\\{\\begin{array}{ccl}\n", "0 & &T_1 \\le T_\\mathrm{min} \\\\\n", "\\beta(T_1 - T_\\mathrm{min}) & & T_1 > T_\\mathrm{min}.\n", "\\end{array}\\right.\n", "\\end{align}\n", "\n", "Because spindles form in *Xenopus* extract, $T_0 > T_\\mathrm{min}$, so there exists a $T_1$ with $T_\\mathrm{min} < T_1 < T_0$, so going forward, we are assured that $T_1 > T_\\mathrm{min}$. Thus, we have\n", "\n", "\\begin{align}\n", "V_\\mathrm{s} \\approx \\alpha\\beta\\,\\frac{T_1 - T_\\mathrm{min}}{T_\\mathrm{s}}.\n", "\\end{align}\n", "\n", "With insertion of our expression for $T_1$, this becomes\n", "\n", "\\begin{align}\n", "V_{\\mathrm{s}} \\approx \\alpha \\beta\\left(\\frac{T_0 - T_\\mathrm{min}}{T_\\mathrm{s}} - \\frac{V_\\mathrm{s}}{V_0}\\right).\n", "\\end{align}\n", "\n", "Solving for $V_\\mathrm{s}$, we have\n", "\n", "\\begin{align}\n", "V_\\mathrm{s} \\approx \\frac{\\alpha\\beta}{1 + \\alpha\\beta/V_0}\\,\\frac{T_0 - T_\\mathrm{min}}{T_\\mathrm{s}}\n", "=\\frac{V_0}{1 + V_0/\\alpha\\beta}\\,\\frac{T_0 - T_\\mathrm{min}}{T_\\mathrm{s}}.\n", "\\end{align}\n", "\n", "We approximate the shape of the spindle as a prolate spheroid with major axis length $l$ and minor axis length $w$, giving\n", "\n", "\\begin{align}\n", "V_\\mathrm{s} = \\frac{\\pi}{6}\\,l w^2 = \\frac{\\pi}{6}\\,k^2 l^3,\n", "\\end{align}\n", "\n", "where $k \\equiv w/l$ is the aspect ratio of the spindle. We can now write an expression for the spindle length as\n", "\n", "\\begin{align}\n", "l \\approx \\left(\\frac{6}{\\pi k^2}\\,\n", "\\frac{T_0 - T_\\mathrm{min}}{T_\\mathrm{s}}\\,\n", "\\frac{V_0}{1+V_0/\\alpha\\beta}\\right)^{\\frac{1}{3}}.\n", "\\end{align}\n", "\n", "For a spherical droplet, $V_0 \\approx \\pi d^3 / 6$, giving\n", "\n", "\\begin{align}\n", "l \\approx \\left(\n", "\\frac{T_0 - T_\\mathrm{min}}{k^2\\,T_\\mathrm{s}}\\,\n", "\\frac{d^3}{1+\\pi d^3/6\\alpha\\beta}\\right)^{\\frac{1}{3}}.\n", "\\end{align}\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Indentifiability of parameters\n", "\n", "Good and coworkers measured the microtubule length $l$ and droplet diameter $d$ directly from their microscope images. They can also measure the spindle aspect ratio $k$ directly from the images. Thus, we have four unknown parameters, since we already know α ≈ 2.7 nmol/µm. The unknown parameters are:\n", "\n", "| parameter | meaning |\n", "| :------: | :-----|\n", "|$\\beta$ | rate constant for MT growth |\n", "|$T_0$ | total tubulin concentration |\n", "|$T_\\mathrm{min}$ | critical tubulin concentration for polymerization |\n", "|$T_s$ | tubulin concentration in the spindle |\n", "\n", "We would like to determine all of these parameters. We could measure them all either in this experiment or in other experiments. We could measure the total tubulin concentration $T_0$ by doing spectroscopic or other quantitative methods on the *Xenopus* extract. We can $T_\\mathrm{min}$ and $T_s$ might be assessed by other in vitro assays, though these parameters may by strongly dependent on the conditions of the extract.\n", "\n", "Importantly, though, the parameters only appear in combinations with each other in our theoretical model. Specifically, we can define two parameters,\n", "\n", "\\begin{align}\n", "\\gamma &= \\left(\\frac{T_0-T_\\mathrm{min}}{k^2T_\\mathrm{s}}\\right)^\\frac{1}{3} \\\\[1em]\n", "\\phi &= \\gamma\\left(\\frac{6\\alpha\\beta}{\\pi}\\right)^{\\frac{1}{3}}.\n", "\\end{align}\n", "\n", "We can then rewrite the general model expression in terms of these parameters as\n", "\n", "\\begin{align}\n", "l(d) \\approx \\frac{\\gamma d}{\\left(1+(\\gamma d/\\phi)^3\\right)^{\\frac{1}{3}}}.\n", "\\end{align}\n", "\n", "If we tried to determine all four parameters from this experiment only, we would be in trouble. This experiment alone cannot distinguish all of the parameters. Rather, we can only distinguish two combinations of them, which we have defined as $\\gamma$ and $\\phi$. This is an issue of **identifiability**. We may not be able to distinguish all parameters in a given model, and it is important to think carefully *before* the analysis about which ones we can identify. We are not quite done with characterizing identifiability." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Limiting behavior\n", "\n", "For large droplets, with $d \\gg \\phi/\\gamma$, the spindle size becomes independent of $d$, with\n", "\n", "\\begin{align}\n", "l \\approx \\phi.\n", "\\end{align}\n", "\n", "Conversely, for $ d \\ll \\phi/\\gamma$, the spindle length varies approximately linearly with diameter.\n", "\n", "\\begin{align}\n", "l(d) \\approx \\gamma\\,d.\n", "\\end{align}\n", "\n", "Note that the expression for the linear regime gives bounds for $\\gamma$. Obviously, $\\gamma > 0$, lest we have spindles of negative length in the small $d$ regime. Because $l \\le d$, lest the spindle not fit in the droplet, we also have $\\gamma \\le 1$. \n", "\n", "Importantly, if the experiment is done in the regime where $d$ is large (and we do not really know a priori how large that is since we do not know the parameters $\\phi$ and $\\gamma$), we cannot tell the difference between this conserved tubulin model and the independent size model, since they are equivalent in that regime. Further, if the experiment is in this regime the model is unidentifiable because we cannot resolve $\\gamma$.\n", "\n", "This sounds kind of dire, but this is actually a convenient fact. The conserved tubulin model is more complex, but it has a simpler model, the independent size model, as a limit. Thus, the two models are in fact commensurate with each other. Knowledge of how these limits also enhances the experimental design. We should strive for small droplets. And perhaps most importantly, if we didn't consider the second model, we might automatically assume that droplet size has nothing to do with spindle length if we happened to do the experiment in larger droplets." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Generative model\n", "\n", "We have a theoretical model relating the droplet diameter to the spindle length. Let us now build a generative model. For spindle, droplet pair $i$, we assume\n", "\n", "\\begin{align}\n", "l_i = \\frac{\\gamma d_i}{\\left(1+(\\gamma d/\\phi)^3\\right)^{\\frac{1}{3}}} + e_i.\n", "\\end{align}\n", "\n", "We again assume that $e_i$ is Normally distributed with variance $\\sigma^2$. In the independent size model, we assumed that $\\sigma$ scaled with the characteristic spindle size, which was $\\phi$ in that case. We will do the same here, scaling $\\sigma$ with the theoretical spindle size for each droplet diameter. We can choose the same prior as before for $\\phi$, and we choose a Beta prior for $\\gamma$ with a slight preference for intermediate $\\gamma$ values. Our model is then\n", "\n", "\\begin{align}\n", "&\\phi \\sim \\text{LogNorm}(\\ln 20, 0.75),\\\\[1em]\n", "&\\gamma \\sim \\text{Beta}(1.1, 1.1), \\\\[1em]\n", "&\\sigma_0 \\sim \\text{Gamma}(2, 10),\\\\[1em]\n", "&\\mu_i = \\frac{\\gamma d_i}{\\left(1+(\\gamma d_i/\\phi)^3\\right)^{\\frac{1}{3}}}, \\\\[1em]\n", "&\\sigma_i = \\sigma_0\\,\\mu_i,\\\\[1em]\n", "&l_i \\sim \\text{Norm}(\\mu_i, \\sigma_i) \\;\\forall i.\n", "\\end{align}\n", "\n", "Importantly, note that this model builds upon our first model. Generally, when doing Bayesian modeling, it is a good idea to build more complex models on your initial baseline model such that the models are related to each other by limiting behavior. This gives you a continuum of models and a sound basis for making comparisons among models." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Prior predictive checks\n", "\n", "We will now will perform the prior predictive checks using Stan.\n", "\n", "```stan\n", "functions {\n", " real ell_theor(real d, real phi, real gamma) {\n", " real denom_ratio = (gamma * d / phi)^3;\n", " return gamma * d / (1 + denom_ratio)^(1.0 / 3.0); \n", " }\n", "}\n", "\n", "\n", "data {\n", " int N;\n", " real d[N];\n", "\n", " real phi_mu;\n", " real phi_sigma;\n", " real gamma_alpha;\n", " real gamma_beta;\n", " real sigma_0_alpha;\n", " real sigma_0_beta;\n", "}\n", "\n", "\n", "generated quantities {\n", " // Parameters\n", " real phi;\n", " real gamma;\n", " real sigma_0;\n", " real sigma;\n", "\n", " // Data\n", " real ell[N];\n", "\n", " phi = lognormal_rng(phi_mu, phi_sigma);\n", " gamma = beta_rng(gamma_alpha, gamma_beta);\n", " sigma_0 = gamma_rng(sigma_0_alpha, sigma_0_beta);\n", " sigma = sigma_0 * phi;\n", "\n", " {\n", " real mu;\n", " \n", " for (i in 1:N) {\n", " mu = ell_theor(d[i], phi, gamma);\n", " ell[i] = normal_rng(mu, sigma_0 * mu);\n", " }\n", " }\n", "}\n", "```" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now let's compile and generate our prior predictive samples!" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO:cmdstanpy:stan to c++ (/Users/bois/Dropbox/git/bebi103_course/2020/b/content/lessons/lesson_05/cons_tubulin_model_prior_predictive.hpp)\n", "INFO:cmdstanpy:compiling c++\n", "INFO:cmdstanpy:compiled model file: /Users/bois/Dropbox/git/bebi103_course/2020/b/content/lessons/lesson_05/cons_tubulin_model_prior_predictive\n" ] } ], "source": [ "sm_prior_pred = cmdstanpy.CmdStanModel(\n", " stan_file=\"cons_tubulin_model_prior_predictive.stan\"\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, we'll set up the input data, draw our samples, and convert to an ArviZ `InferenceData` instance." ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO:cmdstanpy:start chain 1\n", "INFO:cmdstanpy:finish chain 1\n" ] } ], "source": [ "data = {\n", " \"N\": N,\n", " \"d\": d,\n", " \"phi_mu\": 3.0,\n", " \"phi_sigma\": 0.75,\n", " \"gamma_alpha\": 1.1,\n", " \"gamma_beta\": 1.1,\n", " \"sigma_0_alpha\": 2.0,\n", " \"sigma_0_beta\": 10.0,\n", "}\n", "\n", "samples = sm_prior_pred.sample(data=data, sampling_iters=1000, fixed_param=True)\n", "\n", "samples = az.from_cmdstanpy(posterior=samples, prior=samples, prior_predictive=['ell'])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can start our graphical posterior predictive checks by looking at an ECDF of the values of the spindle length, ignoring for a moment the dependence on droplet diameter." ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", "\n", "\n", "\n", "
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There are a few negative values, but we will accept this and move forward.\n", "\n", "Next, we would like to look at some scatter plots of spindle length versus droplet diameter. As a start, we can make a plot of the ranges we might expect the data to span using the `bebi103.viz.predictive_regression()` function. For each value of $d$, we plot the percentiles of the spindle lengths drawn from the generative model. We will plot the middle 30th, 60th, 90th, and 99th percentiles to get an idea how the data sets are distributed." ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", "\n", "\n", "\n", "
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\",\"dtype\":\"float64\",\"shape\":[2000]}},\"selected\":{\"id\":\"7497\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"7496\",\"type\":\"UnionRenderers\"}},\"id\":\"7269\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"#1f77b4\",\"line_width\":2,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"7291\",\"type\":\"Line\"},{\"attributes\":{},\"id\":\"7494\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"7498\",\"type\":\"UnionRenderers\"},{\"attributes\":{},\"id\":\"7500\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"fill_color\":\"#9ecae1\",\"line_alpha\":0,\"line_color\":\"#1f77b4\",\"line_width\":0,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"7270\",\"type\":\"Patch\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"value\":\"lightgrey\"},\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":{\"value\":1.0},\"line_color\":{\"value\"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\",\"dtype\":\"float64\",\"shape\":[2000]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[2000]},\"y\":{\"__ndarray__\":\"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samples.prior_predictive['ell'],\n", " samples_x=d,\n", " percentiles=[30, 60, 90, 99],\n", " x_axis_label='droplet diameter [µm]',\n", " y_axis_label='spindle length [µm]'\n", " )\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "These results look reasonable; there are very few values of spindle length below zero, and the spindle length is also only rarely greater than the droplet diameter.\n", "\n", "It is also useful to look at individual curves to make sure they are within reason. We can build a quick dashboard to check this out. In fact, **dashboarding** is quite useful for prior (and posterior) predictive checks. You can read more about dashboarding in [last term's recitation about it](http://bebi103.caltech.edu.s3-website-us-east-1.amazonaws.com/2019a/content/recitations/recitation_05/dashboards.html).\n", "\n", "Note that the interaction will only work in a running Jupyter notebook, and will not work in the HTML rendering of this notebook." ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "data": { "application/vnd.holoviews_exec.v0+json": "", "text/html": [ "
\n", "\n", "\n", "\n", "\n", "\n", "
\n", "
\n", "" ], "text/plain": [ "Row\n", " [0] ParamFunction(function)\n", " [1] Spacer(width=30)\n", " [2] Column\n", " [0] Spacer(height=30)\n", " [1] IntSlider(end=1000, name='draw')\n", " [2] Spacer(height=30)\n", " [3] ParamFunction(function)" ] }, "execution_count": 22, "metadata": { "application/vnd.holoviews_exec.v0+json": { "id": "7608" } }, "output_type": "execute_result" } ], "source": [ "draw_slider = pn.widgets.IntSlider(name=\"draw\", start=0, end=1000, step=1, value=0)\n", "\n", "\n", "@pn.depends(draw_slider.param.value)\n", "def plot_prior_pred_data(draw):\n", " ell = samples.prior_predictive[\"ell\"].sel(chain=0, draw=draw).values\n", "\n", " return hv.Scatter(\n", " (d, ell), kdims=\"droplet diameter [µm]\", vdims=\"spindle length [µm]\"\n", " ).opts(frame_height=250, frame_width=250, size=2, xlim=(0, 275), ylim=(-5, 140))\n", "\n", "\n", "@pn.depends(draw_slider.param.value)\n", "def markdown_params(draw):\n", " gamma = float(samples.prior[\"gamma_\"].sel(chain=0, draw=draw))\n", " phi = float(samples.prior[\"phi\"].sel(chain=0, draw=draw))\n", " sigma_0 = float(samples.prior[\"sigma_0\"].sel(chain=0, draw=draw))\n", "\n", " return f\"\"\"\n", "| Parameter | Value |\n", "|:-----------:|-----------:|\n", "| γ | {gamma} |\n", "| ϕ | {phi} |\n", "| σ₀ | {sigma_0} |\n", " \"\"\"\n", "\n", "\n", "widgets = pn.Column(\n", " pn.Spacer(height=30), draw_slider, pn.Spacer(height=30), pn.panel(markdown_params)\n", ")\n", "\n", "pn.Row(plot_prior_pred_data, pn.Spacer(width=30), widgets)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We do get some negative spindle lengths, but we may be willing to tolerate these, as they are few. We also see all sorts of behaviors. We see some curves in the asymptotic regime where the spindle length is independent of diameter, some in the linear regime, and some that encompass both regimes.\n", "\n", "So, we now have two sound generative models that we can use to perform parameter estimation. Performing prior predictive checks honed our model, priors including. \n", "\n", "Before moving on to parameter estimation with posterior predictive checks, let's take a look at the data set and think about some further considerations of the model." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Checking model assumptions\n", "\n", "Now that we have two generative models in place, let's take a quick look at the data. I'll first replot it, as we did at the top of this notebook." ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "data": { "application/vnd.holoviews_exec.v0+json": "", "text/html": [ "
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\n", "
\n", "" ], "text/plain": [ ":Scatter [Droplet Diameter (um)] (Spindle Length (um))" ] }, "execution_count": 23, "metadata": { "application/vnd.holoviews_exec.v0+json": { "id": "7743" } }, "output_type": "execute_result" } ], "source": [ "hv.Scatter(\n", " data=df,\n", " kdims='Droplet Diameter (um)',\n", " vdims='Spindle Length (um)',\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The experiment more heavily sampled droplet diameters between 20 and 80 µm. It is hard to say if it sampled the droplet diameter-independent regime. We will explore the posterior distribution for this model, informed by these data in the likelihood, in the next lesson. Before we do, we should check to make sure the model assumptions hold.\n", "\n", "In deriving the model, we made a couple key assumptions. First, we assumed that $V_s/V_0 \\ll 1$. Second, we assumed that all spindles have the same aspect ratio, $k$. We should examine how these assumptions hold up and maybe relax those assumptions and build a more complex model if need be." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Is $V_\\mathrm{s} / V_0 \\ll 1$?\n", "\n", "Let's do a quick verification that the droplet volume is indeed much larger than the spindle volume. Remember, the spindle volume for a prolate spheroid of length $l$ and width $w$ is $V_\\mathrm{s} = \\pi l w^2 / 6$." ] }, { "cell_type": "code", "execution_count": 24, "metadata": { "collapsed": false, "jupyter": { "outputs_hidden": false } }, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", "\n", "\n", "\n", "
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Length (um)\"] * df[\"Spindle Width (um)\"] ** 2 / 6\n", "\n", "# Compute the ratio V_s / V_0 (taking care of units)\n", "vol_ratio = spindle_volume / df[\"Droplet Volume (uL)\"] * 1e-9\n", "\n", "# Plot an ECDF of the results\n", "bokeh.io.show(bokeh_catplot.ecdf(vol_ratio.values, x_axis_label=\"Vs/V0\"))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We see that for pretty much all spindles that were measured, $V_\\mathrm{s} / V_0$ is small, so this is a sound assumption." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Do all spindles have the same aspect ratio $k$?\n", "\n", "In setting up our model, we assumed that all spindles had the same aspect ratio. We can check this assumption because we have the data to do so available to us." ] }, { "cell_type": "code", "execution_count": 25, "metadata": { "collapsed": false, "jupyter": { "outputs_hidden": false } }, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", "\n", "\n", "\n", "
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library is missing\");\n", " }\n", " }\n", " }, 10, root)\n", " }\n", "})(window);" ], "application/vnd.bokehjs_exec.v0+json": "" }, "metadata": { "application/vnd.bokehjs_exec.v0+json": { "id": "8173" } }, "output_type": "display_data" } ], "source": [ "# Compute the aspect ratio\n", "k = df['Spindle Width (um)'] / df['Spindle Length (um)']\n", "\n", "# Plot ECDF\n", "bokeh.io.show(bokeh_catplot.ecdf(k.values, x_axis_label='k'))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The mean aspect ratio is about 0.4, and we see spindle lengths about $\\pm 25\\%$ of that. This could be significant variation. Going forward, we will assume $k$ is constant, but you may wish to perform the analysis with nonconstant $k$ as an exercise.\n", "\n", "Importantly, these checks of the model highlight the importance of checking your assumptions against your data. Always a good idea!" ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [], "source": [ "bebi103.stan.clean_cmdstan()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Computing environment" ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPython 3.7.6\n", "IPython 7.11.1\n", "\n", "numpy 1.18.1\n", "pandas 0.24.2\n", "scipy 1.3.1\n", "cmdstanpy 0.8.0\n", "arviz 0.6.1\n", "bokeh 1.4.0\n", "holoviews 1.12.7\n", "panel 0.7.0\n", "bokeh_catplot 0.1.8\n", "bebi103 0.0.51\n", "jupyterlab 1.2.5\n" ] } ], "source": [ "%load_ext watermark\n", "%watermark -v -p numpy,pandas,scipy,cmdstanpy,arviz,bokeh,holoviews,panel,bokeh_catplot,bebi103,jupyterlab" ] } ], "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": "3.7.6" } }, "nbformat": 4, "nbformat_minor": 4 }