explainable_images_for_mols_SimilarityMaps_FI_SHAP.ipynb

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  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>.container { width:90% !important; }</style>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RDKit: 2019.03.4\n",
      "SHAP: 0.33.0\n"
     ]
    }
   ],
   "source": [
    "import base64\n",
    "import functools\n",
    "from io import BytesIO\n",
    "import os\n",
    "import warnings\n",
    "warnings.filterwarnings(action='ignore')\n",
    "\n",
    "from IPython.core.display import display, HTML\n",
    "display(HTML(\"<style>.container { width:90% !important; }</style>\"))\n",
    "from matplotlib import cm\n",
    "import matplotlib.gridspec as gridspec\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import rdkit\n",
    "from rdkit import Chem, RDPaths\n",
    "from rdkit.Chem import AllChem,  DataStructs, Draw, rdBase, rdCoordGen, rdDepictor\n",
    "from rdkit.Chem.Draw import IPythonConsole, rdMolDraw2D, SimilarityMaps\n",
    "from rdkit.ML.Descriptors import MoleculeDescriptors\n",
    "print(f'RDKit: {rdBase.rdkitVersion}')\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.metrics import accuracy_score\n",
    "import seaborn as sns\n",
    "import shap\n",
    "print(f'SHAP: {shap.__version__}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "sns.set_style(\"whitegrid\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
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r={topAbort:null,topAnimationEnd:null,topAnimationIteration:null,topAnimationStart:null,topBlur:null,topCanPlay:null,topCanPlayThrough:null,topChange:null,topClick:null,topCompositionEnd:null,topCompositionStart:null,topCompositionUpdate:null,topContextMenu:null,topCopy:null,topCut:null,topDoubleClick:null,topDrag:null,topDragEnd:null,topDragEnter:null,topDragExit:null,topDragLeave:null,topDragOver:null,topDragStart:null,topDrop:null,topDurationChange:null,topEmptied:null,topEncrypted:null,topEnded:null,topError:null,topFocus:null,topInput:null,topInvalid:null,topKeyDown:null,topKeyPress:null,topKeyUp:null,topLoad:null,topLoadedData:null,topLoadedMetadata:null,topLoadStart:null,topMouseDown:null,topMouseMove:null,topMouseOut:null,topMouseOver:null,topMouseUp:null,topPaste:null,topPause:null,topPlay:null,topPlaying:null,topProgress:null,topRateChange:null,topReset:null,topScroll:null,topSeeked:null,topSeeking:null,topSelectionChange:null,topStalled:null,topSubmit:null,topSuspend:null,topTextInput:null,topTimeUpdate:null,topTouchCancel:null,topTouchEnd:null,topTouchMove:null,topTouchStart:null,topTransitionEnd:null,topVolumeChange:null,topWaiting:null,topWheel:null},i={topLevelTypes:r};t.exports=i},function(t,e,n){\"use 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RegExp(\"^(data|aria)-[\"+r.ATTRIBUTE_NAME_CHAR+\"]*$\")),Properties:{accept:0,acceptCharset:0,accessKey:0,action:0,allowFullScreen:o,allowTransparency:0,alt:0,as:0,async:o,autoComplete:0,autoPlay:o,capture:o,cellPadding:0,cellSpacing:0,charSet:0,challenge:0,checked:i|o,cite:0,classID:0,className:0,cols:u,colSpan:0,content:0,contentEditable:0,contextMenu:0,controls:o,controlsList:0,coords:0,crossOrigin:0,data:0,dateTime:0,default:o,defer:o,dir:0,disabled:o,download:c,draggable:0,encType:0,form:0,formAction:0,formEncType:0,formMethod:0,formNoValidate:o,formTarget:0,frameBorder:0,headers:0,height:0,hidden:o,high:0,href:0,hrefLang:0,htmlFor:0,httpEquiv:0,icon:0,id:0,inputMode:0,integrity:0,is:0,keyParams:0,keyType:0,kind:0,label:0,lang:0,list:0,loop:o,low:0,manifest:0,marginHeight:0,marginWidth:0,max:0,maxLength:0,media:0,mediaGroup:0,method:0,min:0,minLength:0,multiple:i|o,muted:i|o,name:0,nonce:0,noValidate:o,open:o,optimum:0,pattern:0,placeholder:0,playsInline:o,poster:0,preload:0,profile:0,radioGroup:0,readOnly:o,referrerPolicy:0,rel:0,required:o,reversed:o,role:0,rows:u,rowSpan:a,sandbox:0,scope:0,scoped:o,scrolling:0,seamless:o,selected:i|o,shape:0,size:u,sizes:0,span:u,spellCheck:0,src:0,srcDoc:0,srcLang:0,srcSet:0,start:a,step:0,style:0,summary:0,tabIndex:0,target:0,title:0,type:0,useMap:0,value:0,width:0,wmode:0,wrap:0,about:0,datatype:0,inlist:0,prefix:0,property:0,resource:0,typeof:0,vocab:0,autoCapitalize:0,autoCorrect:0,autoSave:0,color:0,itemProp:0,itemScope:o,itemType:0,itemID:0,itemRef:0,results:0,security:0,unselectable:0},DOMAttributeNames:{acceptCharset:\"accept-charset\",className:\"class\",htmlFor:\"for\",httpEquiv:\"http-equiv\"},DOMPropertyNames:{},DOMMutationMethods:{value:function(t,e){if(null==e)return t.removeAttribute(\"value\");\"number\"!==t.type||!1===t.hasAttribute(\"value\")?t.setAttribute(\"value\",\"\"+e):t.validity&&!t.validity.badInput&&t.ownerDocument.activeElement!==t&&t.setAttribute(\"value\",\"\"+e)}}};t.exports=s},function(t,e,n){\"use strict\";(function(e){function r(t,e,n,r){var i=void 0===t[n];null!=e&&i&&(t[n]=o(e,!0))}var i=n(24),o=n(174),a=(n(85),n(96)),u=n(177);n(2);void 0!==e&&e.env;var c={instantiateChildren:function(t,e,n,i){if(null==t)return null;var o={};return u(t,r,o),o},updateChildren:function(t,e,n,r,u,c,s,l,f){if(e||t){var p,h;for(p in e)if(e.hasOwnProperty(p)){h=t&&t[p];var d=h&&h._currentElement,v=e[p];if(null!=h&&a(d,v))i.receiveComponent(h,v,u,l),e[p]=h;else{h&&(r[p]=i.getHostNode(h),i.unmountComponent(h,!1));var g=o(v,!0);e[p]=g;var m=i.mountComponent(g,u,c,s,l,f);n.push(m)}}for(p in t)!t.hasOwnProperty(p)||e&&e.hasOwnProperty(p)||(h=t[p],r[p]=i.getHostNode(h),i.unmountComponent(h,!1))}},unmountChildren:function(t,e){for(var n in t)if(t.hasOwnProperty(n)){var r=t[n];i.unmountComponent(r,e)}}};t.exports=c}).call(e,n(156))},function(t,e,n){\"use strict\";var r=n(82),i=n(364),o={processChildrenUpdates:i.dangerouslyProcessChildrenUpdates,replaceNodeWithMarkup:r.dangerouslyReplaceNodeWithMarkup};t.exports=o},function(t,e,n){\"use strict\";function r(t){}function i(t){return!(!t.prototype||!t.prototype.isReactComponent)}function o(t){return!(!t.prototype||!t.prototype.isPureReactComponent)}var a=n(1),u=n(3),c=n(26),s=n(87),l=n(15),f=n(88),p=n(39),h=(n(9),n(168)),d=n(24),v=n(51),g=(n(0),n(81)),m=n(96),y=(n(2),{ImpureClass:0,PureClass:1,StatelessFunctional:2});r.prototype.render=function(){var t=p.get(this)._currentElement.type,e=t(this.props,this.context,this.updater);return e};var _=1,b={construct:function(t){this._currentElement=t,this._rootNodeID=0,this._compositeType=null,this._instance=null,this._hostParent=null,this._hostContainerInfo=null,this._updateBatchNumber=null,this._pendingElement=null,this._pendingStateQueue=null,this._pendingReplaceState=!1,this._pendingForceUpdate=!1,this._renderedNodeType=null,this._renderedComponent=null,this._context=null,this._mountOrder=0,this._topLevelWrapper=null,this._pendingCallbacks=null,this._calledComponentWillUnmount=!1},mountComponent:function(t,e,n,u){this._context=u,this._mountOrder=_++,this._hostParent=e,this._hostContainerInfo=n;var s,l=this._currentElement.props,f=this._processContext(u),h=this._currentElement.type,d=t.getUpdateQueue(),g=i(h),m=this._constructComponent(g,l,f,d);g||null!=m&&null!=m.render?o(h)?this._compositeType=y.PureClass:this._compositeType=y.ImpureClass:(s=m,null===m||!1===m||c.isValidElement(m)||a(\"105\",h.displayName||h.name||\"Component\"),m=new r(h),this._compositeType=y.StatelessFunctional);m.props=l,m.context=f,m.refs=v,m.updater=d,this._instance=m,p.set(m,this);var b=m.state;void 0===b&&(m.state=b=null),(\"object\"!=typeof b||Array.isArray(b))&&a(\"106\",this.getName()||\"ReactCompositeComponent\"),this._pendingStateQueue=null,this._pendingReplaceState=!1,this._pendingForceUpdate=!1;var x;return x=m.unstable_handleError?this.performInitialMountWithErrorHandling(s,e,n,t,u):this.performInitialMount(s,e,n,t,u),m.componentDidMount&&t.getReactMountReady().enqueue(m.componentDidMount,m),x},_constructComponent:function(t,e,n,r){return this._constructComponentWithoutOwner(t,e,n,r)},_constructComponentWithoutOwner:function(t,e,n,r){var i=this._currentElement.type;return t?new i(e,n,r):i(e,n,r)},performInitialMountWithErrorHandling:function(t,e,n,r,i){var o,a=r.checkpoint();try{o=this.performInitialMount(t,e,n,r,i)}catch(u){r.rollback(a),this._instance.unstable_handleError(u),this._pendingStateQueue&&(this._instance.state=this._processPendingState(this._instance.props,this._instance.context)),a=r.checkpoint(),this._renderedComponent.unmountComponent(!0),r.rollback(a),o=this.performInitialMount(t,e,n,r,i)}return o},performInitialMount:function(t,e,n,r,i){var o=this._instance,a=0;o.componentWillMount&&(o.componentWillMount(),this._pendingStateQueue&&(o.state=this._processPendingState(o.props,o.context))),void 0===t&&(t=this._renderValidatedComponent());var u=h.getType(t);this._renderedNodeType=u;var c=this._instantiateReactComponent(t,u!==h.EMPTY);this._renderedComponent=c;var s=d.mountComponent(c,r,e,n,this._processChildContext(i),a);return s},getHostNode:function(){return d.getHostNode(this._renderedComponent)},unmountComponent:function(t){if(this._renderedComponent){var e=this._instance;if(e.componentWillUnmount&&!e._calledComponentWillUnmount)if(e._calledComponentWillUnmount=!0,t){var n=this.getName()+\".componentWillUnmount()\";f.invokeGuardedCallback(n,e.componentWillUnmount.bind(e))}else e.componentWillUnmount();this._renderedComponent&&(d.unmountComponent(this._renderedComponent,t),this._renderedNodeType=null,this._renderedComponent=null,this._instance=null),this._pendingStateQueue=null,this._pendingReplaceState=!1,this._pendingForceUpdate=!1,this._pendingCallbacks=null,this._pendingElement=null,this._context=null,this._rootNodeID=0,this._topLevelWrapper=null,p.remove(e)}},_maskContext:function(t){var e=this._currentElement.type,n=e.contextTypes;if(!n)return v;var r={};for(var i in n)r[i]=t[i];return r},_processContext:function(t){var e=this._maskContext(t);return e},_processChildContext:function(t){var e,n=this._currentElement.type,r=this._instance;if(r.getChildContext&&(e=r.getChildContext()),e){\"object\"!=typeof n.childContextTypes&&a(\"107\",this.getName()||\"ReactCompositeComponent\");for(var i in e)i in n.childContextTypes||a(\"108\",this.getName()||\"ReactCompositeComponent\",i);return u({},t,e)}return t},_checkContextTypes:function(t,e,n){},receiveComponent:function(t,e,n){var r=this._currentElement,i=this._context;this._pendingElement=null,this.updateComponent(e,r,t,i,n)},performUpdateIfNecessary:function(t){null!=this._pendingElement?d.receiveComponent(this,this._pendingElement,t,this._context):null!==this._pendingStateQueue||this._pendingForceUpdate?this.updateComponent(t,this._currentElement,this._currentElement,this._context,this._context):this._updateBatchNumber=null},updateComponent:function(t,e,n,r,i){var o=this._instance;null==o&&a(\"136\",this.getName()||\"ReactCompositeComponent\");var u,c=!1;this._context===i?u=o.context:(u=this._processContext(i),c=!0);var s=e.props,l=n.props;e!==n&&(c=!0),c&&o.componentWillReceiveProps&&o.componentWillReceiveProps(l,u);var f=this._processPendingState(l,u),p=!0;this._pendingForceUpdate||(o.shouldComponentUpdate?p=o.shouldComponentUpdate(l,f,u):this._compositeType===y.PureClass&&(p=!g(s,l)||!g(o.state,f))),this._updateBatchNumber=null,p?(this._pendingForceUpdate=!1,this._performComponentUpdate(n,l,f,u,t,i)):(this._currentElement=n,this._context=i,o.props=l,o.state=f,o.context=u)},_processPendingState:function(t,e){var n=this._instance,r=this._pendingStateQueue,i=this._pendingReplaceState;if(this._pendingReplaceState=!1,this._pendingStateQueue=null,!r)return n.state;if(i&&1===r.length)return r[0];for(var o=u({},i?r[0]:n.state),a=i?1:0;a<r.length;a++){var c=r[a];u(o,\"function\"==typeof c?c.call(n,o,t,e):c)}return o},_performComponentUpdate:function(t,e,n,r,i,o){var a,u,c,s=this._instance,l=Boolean(s.componentDidUpdate);l&&(a=s.props,u=s.state,c=s.context),s.componentWillUpdate&&s.componentWillUpdate(e,n,r),this._currentElement=t,this._context=o,s.props=e,s.state=n,s.context=r,this._updateRenderedComponent(i,o),l&&i.getReactMountReady().enqueue(s.componentDidUpdate.bind(s,a,u,c),s)},_updateRenderedComponent:function(t,e){var n=this._renderedComponent,r=n._currentElement,i=this._renderValidatedComponent(),o=0;if(m(r,i))d.receiveComponent(n,i,t,this._processChildContext(e));else{var a=d.getHostNode(n);d.unmountComponent(n,!1);var u=h.getType(i);this._renderedNodeType=u;var c=this._instantiateReactComponent(i,u!==h.EMPTY);this._renderedComponent=c;var s=d.mountComponent(c,t,this._hostParent,this._hostContainerInfo,this._processChildContext(e),o);this._replaceNodeWithMarkup(a,s,n)}},_replaceNodeWithMarkup:function(t,e,n){s.replaceNodeWithMarkup(t,e,n)},_renderValidatedComponentWithoutOwnerOrContext:function(){var t=this._instance;return t.render()},_renderValidatedComponent:function(){var t;if(this._compositeType!==y.StatelessFunctional){l.current=this;try{t=this._renderValidatedComponentWithoutOwnerOrContext()}finally{l.current=null}}else t=this._renderValidatedComponentWithoutOwnerOrContext();return null===t||!1===t||c.isValidElement(t)||a(\"109\",this.getName()||\"ReactCompositeComponent\"),t},attachRef:function(t,e){var n=this.getPublicInstance();null==n&&a(\"110\");var r=e.getPublicInstance();(n.refs===v?n.refs={}:n.refs)[t]=r},detachRef:function(t){delete this.getPublicInstance().refs[t]},getName:function(){var t=this._currentElement.type,e=this._instance&&this._instance.constructor;return t.displayName||e&&e.displayName||t.name||e&&e.name||null},getPublicInstance:function(){var t=this._instance;return this._compositeType===y.StatelessFunctional?null:t},_instantiateReactComponent:null};t.exports=b},function(t,e,n){\"use strict\";var r=n(4),i=n(372),o=n(167),a=n(24),u=n(12),c=n(385),s=n(401),l=n(171),f=n(408);n(2);i.inject();var p={findDOMNode:s,render:o.render,unmountComponentAtNode:o.unmountComponentAtNode,version:c,unstable_batchedUpdates:u.batchedUpdates,unstable_renderSubtreeIntoContainer:f};\"undefined\"!=typeof __REACT_DEVTOOLS_GLOBAL_HOOK__&&\"function\"==typeof __REACT_DEVTOOLS_GLOBAL_HOOK__.inject&&__REACT_DEVTOOLS_GLOBAL_HOOK__.inject({ComponentTree:{getClosestInstanceFromNode:r.getClosestInstanceFromNode,getNodeFromInstance:function(t){return t._renderedComponent&&(t=l(t)),t?r.getNodeFromInstance(t):null}},Mount:o,Reconciler:a});t.exports=p},function(t,e,n){\"use strict\";function r(t){if(t){var e=t._currentElement._owner||null;if(e){var n=e.getName();if(n)return\" This DOM node was rendered by `\"+n+\"`.\"}}return\"\"}function i(t,e){e&&($[t._tag]&&(null!=e.children||null!=e.dangerouslySetInnerHTML)&&g(\"137\",t._tag,t._currentElement._owner?\" Check the render method of 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Y)Y.hasOwnProperty(n)&&t._wrapperState.listeners.push(M.trapBubbledEvent(n,Y[n],e));break;case\"source\":t._wrapperState.listeners=[M.trapBubbledEvent(\"topError\",\"error\",e)];break;case\"img\":t._wrapperState.listeners=[M.trapBubbledEvent(\"topError\",\"error\",e),M.trapBubbledEvent(\"topLoad\",\"load\",e)];break;case\"form\":t._wrapperState.listeners=[M.trapBubbledEvent(\"topReset\",\"reset\",e),M.trapBubbledEvent(\"topSubmit\",\"submit\",e)];break;case\"input\":case\"select\":case\"textarea\":t._wrapperState.listeners=[M.trapBubbledEvent(\"topInvalid\",\"invalid\",e)]}}function p(){P.postUpdateWrapper(this)}function h(t){Z.call(Q,t)||(X.test(t)||g(\"65\",t),Q[t]=!0)}function d(t,e){return t.indexOf(\"-\")>=0||null!=e.is}function v(t){var e=t.type;h(e),this._currentElement=t,this._tag=e.toLowerCase(),this._namespaceURI=null,this._renderedChildren=null,this._previousStyle=null,this._previousStyleCopy=null,this._hostNode=null,this._hostParent=null,this._rootNodeID=0,this._domID=0,this._hostContainerInfo=null,this._wrapperState=null,this._topLevelWrapper=null,this._flags=0}var g=n(1),m=n(3),y=n(346),_=n(348),b=n(20),x=n(83),w=n(21),C=n(160),k=n(22),E=n(84),M=n(53),T=n(161),S=n(4),N=n(365),A=n(366),P=n(162),O=n(369),I=(n(9),n(378)),D=n(383),R=(n(11),n(56)),L=(n(0),n(95),n(81),n(173)),U=(n(97),n(2),T),F=k.deleteListener,j=S.getNodeFromInstance,B=M.listenTo,V=E.registrationNameModules,W={string:!0,number:!0},z=\"__html\",H={children:null,dangerouslySetInnerHTML:null,suppressContentEditableWarning:null},q=11,Y={topAbort:\"abort\",topCanPlay:\"canplay\",topCanPlayThrough:\"canplaythrough\",topDurationChange:\"durationchange\",topEmptied:\"emptied\",topEncrypted:\"encrypted\",topEnded:\"ended\",topError:\"error\",topLoadedData:\"loadeddata\",topLoadedMetadata:\"loadedmetadata\",topLoadStart:\"loadstart\",topPause:\"pause\",topPlay:\"play\",topPlaying:\"playing\",topProgress:\"progress\",topRateChange:\"ratechange\",topSeeked:\"seeked\",topSeeking:\"seeking\",topStalled:\"stalled\",topSuspend:\"suspend\",topTimeUpdate:\"timeupdate\",topVolumeChange:\"volumechange\",topWaiting:\"waiting\"},K={area:!0,base:!0,br:!0,col:!0,embed:!0,hr:!0,img:!0,input:!0,keygen:!0,link:!0,meta:!0,param:!0,source:!0,track:!0,wbr:!0},G={listing:!0,pre:!0,textarea:!0},$=m({menuitem:!0},K),X=/^[a-zA-Z][a-zA-Z:_\\.\\-\\d]*$/,Q={},Z={}.hasOwnProperty,J=1;v.displayName=\"ReactDOMComponent\",v.Mixin={mountComponent:function(t,e,n,r){this._rootNodeID=J++,this._domID=n._idCounter++,this._hostParent=e,this._hostContainerInfo=n;var o=this._currentElement.props;switch(this._tag){case\"audio\":case\"form\":case\"iframe\":case\"img\":case\"link\":case\"object\":case\"source\":case\"video\":this._wrapperState={listeners:null},t.getReactMountReady().enqueue(f,this);break;case\"input\":N.mountWrapper(this,o,e),o=N.getHostProps(this,o),t.getReactMountReady().enqueue(l,this),t.getReactMountReady().enqueue(f,this);break;case\"option\":A.mountWrapper(this,o,e),o=A.getHostProps(this,o);break;case\"select\":P.mountWrapper(this,o,e),o=P.getHostProps(this,o),t.getReactMountReady().enqueue(f,this);break;case\"textarea\":O.mountWrapper(this,o,e),o=O.getHostProps(this,o),t.getReactMountReady().enqueue(l,this),t.getReactMountReady().enqueue(f,this)}i(this,o);var a,p;null!=e?(a=e._namespaceURI,p=e._tag):n._tag&&(a=n._namespaceURI,p=n._tag),(null==a||a===x.svg&&\"foreignobject\"===p)&&(a=x.html),a===x.html&&(\"svg\"===this._tag?a=x.svg:\"math\"===this._tag&&(a=x.mathml)),this._namespaceURI=a;var h;if(t.useCreateElement){var d,v=n._ownerDocument;if(a===x.html)if(\"script\"===this._tag){var g=v.createElement(\"div\"),m=this._currentElement.type;g.innerHTML=\"<\"+m+\"></\"+m+\">\",d=g.removeChild(g.firstChild)}else d=o.is?v.createElement(this._currentElement.type,o.is):v.createElement(this._currentElement.type);else d=v.createElementNS(a,this._currentElement.type);S.precacheNode(this,d),this._flags|=U.hasCachedChildNodes,this._hostParent||C.setAttributeForRoot(d),this._updateDOMProperties(null,o,t);var _=b(d);this._createInitialChildren(t,o,r,_),h=_}else{var w=this._createOpenTagMarkupAndPutListeners(t,o),k=this._createContentMarkup(t,o,r);h=!k&&K[this._tag]?w+\"/>\":w+\">\"+k+\"</\"+this._currentElement.type+\">\"}switch(this._tag){case\"input\":t.getReactMountReady().enqueue(u,this),o.autoFocus&&t.getReactMountReady().enqueue(y.focusDOMComponent,this);break;case\"textarea\":t.getReactMountReady().enqueue(c,this),o.autoFocus&&t.getReactMountReady().enqueue(y.focusDOMComponent,this);break;case\"select\":case\"button\":o.autoFocus&&t.getReactMountReady().enqueue(y.focusDOMComponent,this);break;case\"option\":t.getReactMountReady().enqueue(s,this)}return h},_createOpenTagMarkupAndPutListeners:function(t,e){var n=\"<\"+this._currentElement.type;for(var r in e)if(e.hasOwnProperty(r)){var i=e[r];if(null!=i)if(V.hasOwnProperty(r))i&&o(this,r,i,t);else{\"style\"===r&&(i&&(i=this._previousStyleCopy=m({},e.style)),i=_.createMarkupForStyles(i,this));var a=null;null!=this._tag&&d(this._tag,e)?H.hasOwnProperty(r)||(a=C.createMarkupForCustomAttribute(r,i)):a=C.createMarkupForProperty(r,i),a&&(n+=\" \"+a)}}return t.renderToStaticMarkup?n:(this._hostParent||(n+=\" \"+C.createMarkupForRoot()),n+=\" \"+C.createMarkupForID(this._domID))},_createContentMarkup:function(t,e,n){var r=\"\",i=e.dangerouslySetInnerHTML;if(null!=i)null!=i.__html&&(r=i.__html);else{var o=W[typeof e.children]?e.children:null,a=null!=o?null:e.children;if(null!=o)r=R(o);else if(null!=a){var u=this.mountChildren(a,t,n);r=u.join(\"\")}}return G[this._tag]&&\"\\n\"===r.charAt(0)?\"\\n\"+r:r},_createInitialChildren:function(t,e,n,r){var i=e.dangerouslySetInnerHTML;if(null!=i)null!=i.__html&&b.queueHTML(r,i.__html);else{var o=W[typeof e.children]?e.children:null,a=null!=o?null:e.children;if(null!=o)\"\"!==o&&b.queueText(r,o);else if(null!=a)for(var u=this.mountChildren(a,t,n),c=0;c<u.length;c++)b.queueChild(r,u[c])}},receiveComponent:function(t,e,n){var r=this._currentElement;this._currentElement=t,this.updateComponent(e,r,t,n)},updateComponent:function(t,e,n,r){var o=e.props,a=this._currentElement.props;switch(this._tag){case\"input\":o=N.getHostProps(this,o),a=N.getHostProps(this,a);break;case\"option\":o=A.getHostProps(this,o),a=A.getHostProps(this,a);break;case\"select\":o=P.getHostProps(this,o),a=P.getHostProps(this,a);break;case\"textarea\":o=O.getHostProps(this,o),a=O.getHostProps(this,a)}switch(i(this,a),this._updateDOMProperties(o,a,t),this._updateDOMChildren(o,a,t,r),this._tag){case\"input\":N.updateWrapper(this),L.updateValueIfChanged(this);break;case\"textarea\":O.updateWrapper(this);break;case\"select\":t.getReactMountReady().enqueue(p,this)}},_updateDOMProperties:function(t,e,n){var r,i,a;for(r in t)if(!e.hasOwnProperty(r)&&t.hasOwnProperty(r)&&null!=t[r])if(\"style\"===r){var u=this._previousStyleCopy;for(i in u)u.hasOwnProperty(i)&&(a=a||{},a[i]=\"\");this._previousStyleCopy=null}else V.hasOwnProperty(r)?t[r]&&F(this,r):d(this._tag,t)?H.hasOwnProperty(r)||C.deleteValueForAttribute(j(this),r):(w.properties[r]||w.isCustomAttribute(r))&&C.deleteValueForProperty(j(this),r);for(r in e){var c=e[r],s=\"style\"===r?this._previousStyleCopy:null!=t?t[r]:void 0;if(e.hasOwnProperty(r)&&c!==s&&(null!=c||null!=s))if(\"style\"===r)if(c?c=this._previousStyleCopy=m({},c):this._previousStyleCopy=null,s){for(i in s)!s.hasOwnProperty(i)||c&&c.hasOwnProperty(i)||(a=a||{},a[i]=\"\");for(i in c)c.hasOwnProperty(i)&&s[i]!==c[i]&&(a=a||{},a[i]=c[i])}else a=c;else if(V.hasOwnProperty(r))c?o(this,r,c,n):s&&F(this,r);else if(d(this._tag,e))H.hasOwnProperty(r)||C.setValueForAttribute(j(this),r,c);else if(w.properties[r]||w.isCustomAttribute(r)){var l=j(this);null!=c?C.setValueForProperty(l,r,c):C.deleteValueForProperty(l,r)}}a&&_.setValueForStyles(j(this),a,this)},_updateDOMChildren:function(t,e,n,r){var i=W[typeof t.children]?t.children:null,o=W[typeof e.children]?e.children:null,a=t.dangerouslySetInnerHTML&&t.dangerouslySetInnerHTML.__html,u=e.dangerouslySetInnerHTML&&e.dangerouslySetInnerHTML.__html,c=null!=i?null:t.children,s=null!=o?null:e.children,l=null!=i||null!=a,f=null!=o||null!=u;null!=c&&null==s?this.updateChildren(null,n,r):l&&!f&&this.updateTextContent(\"\"),null!=o?i!==o&&this.updateTextContent(\"\"+o):null!=u?a!==u&&this.updateMarkup(\"\"+u):null!=s&&this.updateChildren(s,n,r)},getHostNode:function(){return j(this)},unmountComponent:function(t){switch(this._tag){case\"audio\":case\"form\":case\"iframe\":case\"img\":case\"link\":case\"object\":case\"source\":case\"video\":var e=this._wrapperState.listeners;if(e)for(var n=0;n<e.length;n++)e[n].remove();break;case\"input\":case\"textarea\":L.stopTracking(this);break;case\"html\":case\"head\":case\"body\":g(\"66\",this._tag)}this.unmountChildren(t),S.uncacheNode(this),k.deleteAllListeners(this),this._rootNodeID=0,this._domID=0,this._wrapperState=null},getPublicInstance:function(){return j(this)}},m(v.prototype,v.Mixin,I.Mixin),t.exports=v},function(t,e,n){\"use strict\";function r(t,e){var n={_topLevelWrapper:t,_idCounter:1,_ownerDocument:e?e.nodeType===i?e:e.ownerDocument:null,_node:e,_tag:e?e.nodeName.toLowerCase():null,_namespaceURI:e?e.namespaceURI:null};return n}var i=(n(97),9);t.exports=r},function(t,e,n){\"use strict\";var r=n(3),i=n(20),o=n(4),a=function(t){this._currentElement=null,this._hostNode=null,this._hostParent=null,this._hostContainerInfo=null,this._domID=0};r(a.prototype,{mountComponent:function(t,e,n,r){var a=n._idCounter++;this._domID=a,this._hostParent=e,this._hostContainerInfo=n;var u=\" react-empty: \"+this._domID+\" 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c=u.querySelectorAll(\"input[name=\"+JSON.stringify(\"\"+i)+'][type=\"radio\"]'),p=0;p<c.length;p++){var h=c[p];if(h!==o&&h.form===o.form){var d=l.getInstanceFromNode(h);d||a(\"90\"),f.asap(r,d)}}}return n}var a=n(1),u=n(3),c=n(160),s=n(86),l=n(4),f=n(12),p=(n(0),n(2),{getHostProps:function(t,e){var n=s.getValue(e),r=s.getChecked(e);return u({type:void 0,step:void 0,min:void 0,max:void 0},e,{defaultChecked:void 0,defaultValue:void 0,value:null!=n?n:t._wrapperState.initialValue,checked:null!=r?r:t._wrapperState.initialChecked,onChange:t._wrapperState.onChange})},mountWrapper:function(t,e){var n=e.defaultValue;t._wrapperState={initialChecked:null!=e.checked?e.checked:e.defaultChecked,initialValue:null!=e.value?e.value:n,listeners:null,onChange:o.bind(t),controlled:i(e)}},updateWrapper:function(t){var e=t._currentElement.props,n=e.checked;null!=n&&c.setValueForProperty(l.getNodeFromInstance(t),\"checked\",n||!1);var r=l.getNodeFromInstance(t),i=s.getValue(e);if(null!=i)if(0===i&&\"\"===r.value)r.value=\"0\";else if(\"number\"===e.type){var o=parseFloat(r.value,10)||0;(i!=o||i==o&&r.value!=i)&&(r.value=\"\"+i)}else r.value!==\"\"+i&&(r.value=\"\"+i);else null==e.value&&null!=e.defaultValue&&r.defaultValue!==\"\"+e.defaultValue&&(r.defaultValue=\"\"+e.defaultValue),null==e.checked&&null!=e.defaultChecked&&(r.defaultChecked=!!e.defaultChecked)},postMountWrapper:function(t){var e=t._currentElement.props,n=l.getNodeFromInstance(t);switch(e.type){case\"submit\":case\"reset\":break;case\"color\":case\"date\":case\"datetime\":case\"datetime-local\":case\"month\":case\"time\":case\"week\":n.value=\"\",n.value=n.defaultValue;break;default:n.value=n.value}var r=n.name;\"\"!==r&&(n.name=\"\"),n.defaultChecked=!n.defaultChecked,n.defaultChecked=!n.defaultChecked,\"\"!==r&&(n.name=r)}});t.exports=p},function(t,e,n){\"use strict\";function r(t){var e=\"\";return o.Children.forEach(t,function(t){null!=t&&(\"string\"==typeof t||\"number\"==typeof t?e+=t:c||(c=!0))}),e}var i=n(3),o=n(26),a=n(4),u=n(162),c=(n(2),!1),s={mountWrapper:function(t,e,n){var i=null;if(null!=n){var o=n;\"optgroup\"===o._tag&&(o=o._hostParent),null!=o&&\"select\"===o._tag&&(i=u.getSelectValueContext(o))}var a=null;if(null!=i){var c;if(c=null!=e.value?e.value+\"\":r(e.children),a=!1,Array.isArray(i)){for(var s=0;s<i.length;s++)if(\"\"+i[s]===c){a=!0;break}}else a=\"\"+i===c}t._wrapperState={selected:a}},postMountWrapper:function(t){var e=t._currentElement.props;if(null!=e.value){a.getNodeFromInstance(t).setAttribute(\"value\",e.value)}},getHostProps:function(t,e){var n=i({selected:void 0,children:void 0},e);null!=t._wrapperState.selected&&(n.selected=t._wrapperState.selected);var o=r(e.children);return o&&(n.children=o),n}};t.exports=s},function(t,e,n){\"use strict\";function r(t,e,n,r){return t===n&&e===r}function i(t){var e=document.selection,n=e.createRange(),r=n.text.length,i=n.duplicate();i.moveToElementText(t),i.setEndPoint(\"EndToStart\",n);var o=i.text.length;return{start:o,end:o+r}}function o(t){var e=window.getSelection&&window.getSelection();if(!e||0===e.rangeCount)return null;var n=e.anchorNode,i=e.anchorOffset,o=e.focusNode,a=e.focusOffset,u=e.getRangeAt(0);try{u.startContainer.nodeType,u.endContainer.nodeType}catch(t){return null}var c=r(e.anchorNode,e.anchorOffset,e.focusNode,e.focusOffset),s=c?0:u.toString().length,l=u.cloneRange();l.selectNodeContents(t),l.setEnd(u.startContainer,u.startOffset);var f=r(l.startContainer,l.startOffset,l.endContainer,l.endOffset),p=f?0:l.toString().length,h=p+s,d=document.createRange();d.setStart(n,i),d.setEnd(o,a);var v=d.collapsed;return{start:v?h:p,end:v?p:h}}function a(t,e){var n,r,i=document.selection.createRange().duplicate();void 0===e.end?(n=e.start,r=n):e.start>e.end?(n=e.end,r=e.start):(n=e.start,r=e.end),i.moveToElementText(t),i.moveStart(\"character\",n),i.setEndPoint(\"EndToStart\",i),i.moveEnd(\"character\",r-n),i.select()}function u(t,e){if(window.getSelection){var n=window.getSelection(),r=t[l()].length,i=Math.min(e.start,r),o=void 0===e.end?i:Math.min(e.end,r);if(!n.extend&&i>o){var a=o;o=i,i=a}var u=s(t,i),c=s(t,o);if(u&&c){var f=document.createRange();f.setStart(u.node,u.offset),n.removeAllRanges(),i>o?(n.addRange(f),n.extend(c.node,c.offset)):(f.setEnd(c.node,c.offset),n.addRange(f))}}}var c=n(6),s=n(405),l=n(172),f=c.canUseDOM&&\"selection\"in document&&!(\"getSelection\"in window),p={getOffsets:f?i:o,setOffsets:f?a:u};t.exports=p},function(t,e,n){\"use strict\";var r=n(1),i=n(3),o=n(82),a=n(20),u=n(4),c=n(56),s=(n(0),n(97),function(t){this._currentElement=t,this._stringText=\"\"+t,this._hostNode=null,this._hostParent=null,this._domID=0,this._mountIndex=0,this._closingComment=null,this._commentNodes=null});i(s.prototype,{mountComponent:function(t,e,n,r){var i=n._idCounter++,o=\" react-text: \"+i+\" \";if(this._domID=i,this._hostParent=e,t.useCreateElement){var s=n._ownerDocument,l=s.createComment(o),f=s.createComment(\" /react-text \"),p=a(s.createDocumentFragment());return a.queueChild(p,a(l)),this._stringText&&a.queueChild(p,a(s.createTextNode(this._stringText))),a.queueChild(p,a(f)),u.precacheNode(this,l),this._closingComment=f,p}var h=c(this._stringText);return t.renderToStaticMarkup?h:\"\\x3c!--\"+o+\"--\\x3e\"+h+\"\\x3c!-- /react-text --\\x3e\"},receiveComponent:function(t,e){if(t!==this._currentElement){this._currentElement=t;var n=\"\"+t;if(n!==this._stringText){this._stringText=n;var r=this.getHostNode();o.replaceDelimitedText(r[0],r[1],n)}}},getHostNode:function(){var t=this._commentNodes;if(t)return t;if(!this._closingComment)for(var e=u.getNodeFromInstance(this),n=e.nextSibling;;){if(null==n&&r(\"67\",this._domID),8===n.nodeType&&\" /react-text \"===n.nodeValue){this._closingComment=n;break}n=n.nextSibling}return t=[this._hostNode,this._closingComment],this._commentNodes=t,t},unmountComponent:function(){this._closingComment=null,this._commentNodes=null,u.uncacheNode(this)}}),t.exports=s},function(t,e,n){\"use strict\";function r(){this._rootNodeID&&l.updateWrapper(this)}function i(t){var e=this._currentElement.props,n=u.executeOnChange(e,t);return s.asap(r,this),n}var o=n(1),a=n(3),u=n(86),c=n(4),s=n(12),l=(n(0),n(2),{getHostProps:function(t,e){return null!=e.dangerouslySetInnerHTML&&o(\"91\"),a({},e,{value:void 0,defaultValue:void 0,children:\"\"+t._wrapperState.initialValue,onChange:t._wrapperState.onChange})},mountWrapper:function(t,e){var n=u.getValue(e),r=n;if(null==n){var a=e.defaultValue,c=e.children;null!=c&&(null!=a&&o(\"92\"),Array.isArray(c)&&(c.length<=1||o(\"93\"),c=c[0]),a=\"\"+c),null==a&&(a=\"\"),r=a}t._wrapperState={initialValue:\"\"+r,listeners:null,onChange:i.bind(t)}},updateWrapper:function(t){var e=t._currentElement.props,n=c.getNodeFromInstance(t),r=u.getValue(e);if(null!=r){var i=\"\"+r;i!==n.value&&(n.value=i),null==e.defaultValue&&(n.defaultValue=i)}null!=e.defaultValue&&(n.defaultValue=e.defaultValue)},postMountWrapper:function(t){var e=c.getNodeFromInstance(t),n=e.textContent;n===t._wrapperState.initialValue&&(e.value=n)}});t.exports=l},function(t,e,n){\"use strict\";function r(t,e){\"_hostNode\"in t||c(\"33\"),\"_hostNode\"in e||c(\"33\");for(var n=0,r=t;r;r=r._hostParent)n++;for(var i=0,o=e;o;o=o._hostParent)i++;for(;n-i>0;)t=t._hostParent,n--;for(;i-n>0;)e=e._hostParent,i--;for(var a=n;a--;){if(t===e)return t;t=t._hostParent,e=e._hostParent}return null}function i(t,e){\"_hostNode\"in 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i=n(345),o=n(347),a=n(349),u=n(351),c=n(352),s=n(355),l=n(357),f=n(360),p=n(4),h=n(362),d=n(370),v=n(368),g=n(371),m=n(375),y=n(376),_=n(381),b=n(386),x=n(387),w=n(388),C=!1;t.exports={inject:r}},function(t,e,n){\"use strict\";var r=\"function\"==typeof Symbol&&Symbol.for&&Symbol.for(\"react.element\")||60103;t.exports=r},function(t,e,n){\"use strict\";function r(t){i.enqueueEvents(t),i.processEventQueue(!1)}var i=n(22),o={handleTopLevel:function(t,e,n,o){r(i.extractEvents(t,e,n,o))}};t.exports=o},function(t,e,n){\"use strict\";function r(t){for(;t._hostParent;)t=t._hostParent;var e=f.getNodeFromInstance(t),n=e.parentNode;return f.getClosestInstanceFromNode(n)}function i(t,e){this.topLevelType=t,this.nativeEvent=e,this.ancestors=[]}function o(t){var e=h(t.nativeEvent),n=f.getClosestInstanceFromNode(e),i=n;do{t.ancestors.push(i),i=i&&r(i)}while(i);for(var o=0;o<t.ancestors.length;o++)n=t.ancestors[o],v._handleTopLevel(t.topLevelType,n,t.nativeEvent,h(t.nativeEvent))}function 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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "shap.initjs()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Function Settings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# from chainer-chemistry's visualizer_utils.py\n",
    "def red_blue_cmap(x):\n",
    "    \"\"\"Red to Blue color map\n",
    "    Args:\n",
    "        x (float): value between -1 ~ 1, represents normalized saliency score\n",
    "    Returns (tuple): tuple of 3 float values representing R, G, B.\n",
    "    \"\"\"\n",
    "    if x > 0:\n",
    "        # Red for positive value\n",
    "        # x=0 -> 1, 1, 1 (white)\n",
    "        # x=1 -> 1, 0, 0 (red)\n",
    "        return 1.0, 1.0 - x, 1.0 - x\n",
    "    else:\n",
    "        # Blue for negative value\n",
    "        x *= -1\n",
    "        return 1.0 - x, 1.0 - x, 1.0\n",
    "\n",
    "def is_visible(begin, end):\n",
    "    if begin <= 0 or end <= 0:\n",
    "        return 0\n",
    "    elif begin >= 1 or end >= 1:\n",
    "        return 1\n",
    "    else:\n",
    "        return (begin + end) * 0.5\n",
    "    \n",
    "def color_bond(bond, saliency, color_fn):\n",
    "    begin = saliency[bond.GetBeginAtomIdx()]\n",
    "    end = saliency[bond.GetEndAtomIdx()]\n",
    "    return color_fn(is_visible(begin, end))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def moltopng(mol, atom_colors, bond_colors, molSize=(450,150),kekulize=True):\n",
    "    mc = Chem.Mol(mol.ToBinary())\n",
    "    if kekulize:\n",
    "        try:\n",
    "            Chem.Kekulize(mc)\n",
    "        except:\n",
    "            mc = Chem.Mol(mol.ToBinary())\n",
    "    if not mc.GetNumConformers():\n",
    "        rdDepictor.Compute2DCoords(mc)\n",
    "    drawer = rdMolDraw2D.MolDraw2DCairo(molSize[0],molSize[1])\n",
    "    drawer.drawOptions().useBWAtomPalette()\n",
    "    drawer.drawOptions().padding = .2\n",
    "    drawer.DrawMolecule(\n",
    "        mc,\n",
    "        highlightAtoms=[i for i in range(len(atom_colors))], \n",
    "        highlightAtomColors=atom_colors, \n",
    "        highlightBonds=[i for i in range(len(bond_colors))],\n",
    "        highlightBondColors=bond_colors,\n",
    "        highlightAtomRadii={i: .5 for i in range(len(atom_colors))}\n",
    "    )\n",
    "    drawer.FinishDrawing()\n",
    "    return drawer.GetDrawingText()\n",
    "\n",
    "def label_cat(label):\n",
    "    return '$+$' if bool(label!=0) else '$\\cdot$'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# https://iwatobipen.wordpress.com/2017/02/25/draw-molecule-with-atom-index-in-rdkit/\n",
    "def mol_with_atom_index(mol):\n",
    "    import copy\n",
    "    atoms = mol.GetNumAtoms()\n",
    "    molwithidx = copy.deepcopy(mol)\n",
    "    for idx in range( atoms ):\n",
    "        molwithidx.GetAtomWithIdx( idx ).SetProp( 'molAtomMapNumber', str( molwithidx.GetAtomWithIdx( idx ).GetIdx() ) )\n",
    "    return molwithidx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def draw_mols_with_idx(mol, atom_colors, bond_colors):\n",
    "    images = []\n",
    "    _img = moltopng(mol, atom_colors, bond_colors, molSize=(720, 480))\n",
    "    output = BytesIO()\n",
    "    output.write(_img)\n",
    "    encoded_string = base64.b64encode(output.getvalue()).decode()\n",
    "    images.append(f\"<img style='width: 720px; margin: 0px; float: left; border: 0px solid black;' src='data:_img/png;base64,{encoded_string}' />\")\n",
    "    _img = moltopng(mol_with_atom_index(mol), {}, {}, molSize=(720, 470))\n",
    "    output = BytesIO()\n",
    "    output.write(_img)\n",
    "    encoded_string = base64.b64encode(output.getvalue()).decode()\n",
    "    images.append(f\"<img style='width: 720px; margin: 0px; float: left; border: 0px solid black;' src='data:_img/png;base64,{encoded_string}' />\")\n",
    "\n",
    "    images = ''.join(images)\n",
    "    display(HTML(images))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_explainable_images(mol: rdkit.Chem.Mol, weight_fn, weights=None, atoms=['C', 'N', 'O', 'S', 'F', 'Cl', 'P', 'Br']):\n",
    "    symbols = [f'{mol.GetAtomWithIdx(i).GetSymbol()}_{i}' for i in range(mol.GetNumAtoms())]\n",
    "    df = pd.DataFrame(columns=atoms)\n",
    "    if weights is None:\n",
    "        contribs = weight_fn(mol)\n",
    "    else:\n",
    "        contribs = weights\n",
    "    num_atoms = mol.GetNumAtoms()\n",
    "    arr = np.zeros((num_atoms, len(atoms)))\n",
    "    for i in range(mol.GetNumAtoms()):\n",
    "        _a = mol.GetAtomWithIdx(i).GetSymbol()\n",
    "        arr[i,atoms.index(_a)] = contribs[i]\n",
    "    df = pd.DataFrame(arr, index=symbols, columns=atoms)\n",
    "    weights, vmax = SimilarityMaps.GetStandardizedWeights(contribs)\n",
    "    vmin = -vmax\n",
    "    atom_colors = {i: red_blue_cmap(e) for i, e in enumerate(weights)}\n",
    "    # bondlist = [bond.GetIdx() for bond in mol.GetBonds()]\n",
    "    bond_colors = {i: color_bond(bond, weights, red_blue_cmap) for i, bond in enumerate(mol.GetBonds())}\n",
    "    draw_mols_with_idx(mol, atom_colors, bond_colors)\n",
    "    \n",
    "    fig = plt.figure(figsize=(18, 9))\n",
    "    grid = plt.GridSpec(15, 10)\n",
    "    ax = fig.add_subplot(grid[1:, -1])\n",
    "    ax.barh(range(mol.GetNumAtoms()), np.maximum(0, df.values).sum(axis=1), color='C3')\n",
    "    ax.barh(range(mol.GetNumAtoms()), np.minimum(0, df.values).sum(axis=1), color='C0')\n",
    "    ax.set_yticks(range(mol.GetNumAtoms()))\n",
    "    ax.set_ylim(-.5, mol.GetNumAtoms()-.5)\n",
    "    ax.axvline(0, color='k', linestyle='-', linewidth=.5)\n",
    "    ax.spines['top'].set_visible(False)\n",
    "    ax.spines['right'].set_visible(False)\n",
    "    ax.spines['left'].set_visible(False)\n",
    "    ax.tick_params(axis='both', which='both', left=False, labelleft=False)\n",
    "\n",
    "    ax = fig.add_subplot(grid[1:, :-1], sharey=ax)\n",
    "    im = ax.imshow(df.values, cmap='bwr', vmin=vmin, vmax=vmax, aspect='auto')\n",
    "    ax.set_yticks(range(mol.GetNumAtoms()))\n",
    "    ax.set_ylim(mol.GetNumAtoms() -.5, -.5)\n",
    "    symbols= {i: f'${mol.GetAtomWithIdx(i).GetSymbol()}_{{{i}}}$' for i in range(mol.GetNumAtoms())}\n",
    "    ax.set_yticklabels(symbols.values())\n",
    "    ax.set_xticks(range(len(atoms)))\n",
    "\n",
    "    ax.set_xlim(-.5, len(atoms) -.5)\n",
    "    ax.set_xticklabels(atoms, rotation=90)\n",
    "    ax.set_ylabel('Node')\n",
    "\n",
    "    for (j,i),label in np.ndenumerate(df.values):\n",
    "        ax.text(i,j, label_cat(label) ,ha='center',va='center')\n",
    "    ax.tick_params(axis='both', which='both', bottom=True, labelbottom=True, top=False, labeltop=False)\n",
    "    ax.grid(b=None)\n",
    "\n",
    "\n",
    "    ax = fig.add_subplot(grid[0, :-1])\n",
    "    fig.colorbar(mappable=im, cax=ax, orientation='horizontal')\n",
    "    ax.tick_params(axis='both', which='both', bottom=False, labelbottom=False, top=True, labeltop=True)\n",
    "\n",
    "    display(fig)\n",
    "    plt.close(fig)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Training Random Forest Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1025 257\n",
      "(1025, 1024) (1025,) (257, 1024) (257,)\n",
      "0.7120622568093385\n"
     ]
    }
   ],
   "source": [
    "# https://iwatobipen.wordpress.com/2018/11/07/visualize-important-features-of-machine-leaning-rdkit/\n",
    "\n",
    "def mol2fp(mol,radius=2, nBits=1024):\n",
    "    bitInfo={}\n",
    "    fp = AllChem.GetMorganFingerprintAsBitVect(mol, radius=radius, nBits=nBits, bitInfo=bitInfo)\n",
    "    arr = np.zeros((1,))\n",
    "    DataStructs.ConvertToNumpyArray(fp, arr)\n",
    "    return arr, bitInfo\n",
    "\n",
    "train_path = os.path.join(RDPaths.RDDocsDir, 'Book/data/solubility.train.sdf')\n",
    "test_path = os.path.join(RDPaths.RDDocsDir, 'Book/data/solubility.test.sdf')\n",
    "train_mols = Chem.SDMolSupplier(train_path)\n",
    "test_mols = Chem.SDMolSupplier(test_path)\n",
    "print(len(train_mols), len(test_mols))\n",
    "\n",
    "sol_classes = {'(A) low': 0, '(B) medium': 1, '(C) high': 2}\n",
    "X_train = np.array([mol2fp(m)[0] for m in train_mols])\n",
    "y_train = np.array([sol_classes[m.GetProp('SOL_classification')] for m in train_mols], dtype=np.int) \n",
    "X_test = np.array([mol2fp(m)[0] for m in test_mols])\n",
    "y_test = np.array([sol_classes[m.GetProp('SOL_classification')] for m in test_mols], dtype=np.int)\n",
    "print(X_train.shape, y_train.shape, X_test.shape, y_test.shape)\n",
    "\n",
    "clf = RandomForestClassifier(random_state=20191215)\n",
    "clf.fit(X_train, y_train)\n",
    "print(accuracy_score(y_test, clf.predict(X_test)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([215, 223, 462, 618, 818, 856])"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Testにのみあるbit\n",
    "only_test_bits = np.array(range(1024))[~np.any(X_train, axis=0) & np.any(X_test, axis=0)]\n",
    "only_test_bits"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([142, 199, 220, 243, 247, 251, 254])"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Testにのみあるbitを含む分子\n",
    "X_test_with_only_test_bits = X_test[:, only_test_bits]\n",
    "np.array(range(len(X_test)))[np.any(X_test_with_only_test_bits, axis=1)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## GetAtomicWeightsForModel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_proba(fp, proba_fn, class_id):\n",
    "    return proba_fn((fp,))[0][class_id]\n",
    "\n",
    "# デフォルトでGetMorganFingerprintの引数が2048ビットになっているため\n",
    "def fp_partial(nBits):\n",
    "    return functools.partial(SimilarityMaps.GetMorganFingerprint, nBits=nBits)\n",
    "\n",
    "def show_pred_results(mol, model):\n",
    "    y_pred = model.predict(mol2fp(mol)[0].reshape((1,-1)))\n",
    "    sol_dict = {val: key for key, val in sol_classes.items()}\n",
    "    print(f\"True: {mol.GetProp('SOL_classification')} vs Predicted: {sol_dict[y_pred[0]]}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True: (C) high vs Predicted: (B) medium\n"
     ]
    },
    {
     "data": {
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' 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' 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\n",
      "text/plain": [
       "<Figure size 1296x648 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mol = test_mols[141]\n",
    "show_pred_results(mol, clf)\n",
    "weights = SimilarityMaps.GetAtomicWeightsForModel(mol, fp_partial(1024), lambda x: get_proba(x, clf.predict_proba, 2))\n",
    "plot_explainable_images(mol, weight_fn=None, weights=weights, atoms=['C', 'N', 'O', 'S', 'F', 'Cl', 'P', 'Br'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True: (C) high vs Predicted: (C) high\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<img style='width: 720px; margin: 0px; float: left; border: 0px solid black;' 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' 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' 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\n",
      "text/plain": [
       "<Figure size 1296x648 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mol = test_mols[79]\n",
    "show_pred_results(mol, clf)\n",
    "weights = SimilarityMaps.GetAtomicWeightsForModel(mol, fp_partial(1024), lambda x: get_proba(x, clf.predict_proba, 2))\n",
    "plot_explainable_images(mol, weight_fn=None, weights=weights, atoms=['C', 'N', 'O', 'S', 'F', 'Cl', 'P', 'Br'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Feature Importance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(clf.feature_importances_)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "def weights_from_feat_imp(mol, feature_importance, collided_bits='mean'):\n",
    "    fp, bitinfo = mol2fp(mol)\n",
    "    weights = np.zeros(mol.GetNumAtoms(), ) \n",
    "    for bit, infos in bitinfo.items():\n",
    "        for atom_infos in infos:            \n",
    "            if collided_bits == 'mean':\n",
    "                weights[atom_infos[0]] += feature_importance[bit]/ len(infos)\n",
    "            else:\n",
    "                weights[atom_infos[0]] += feature_importance[bit]\n",
    "    return weights"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{0: ((4, 2),),\n",
       " 33: ((0, 0), (5, 0), (10, 0), (6, 2)),\n",
       " 121: ((0, 1), (5, 1), (10, 1)),\n",
       " 179: ((7, 2),),\n",
       " 234: ((1, 2),),\n",
       " 283: ((12, 2),),\n",
       " 314: ((3, 1), (13, 1)),\n",
       " 330: ((11, 2),),\n",
       " 356: ((2, 0), (6, 0), (11, 0), (12, 0)),\n",
       " 378: ((7, 0),),\n",
       " 385: ((9, 1),),\n",
       " 400: ((2, 2),),\n",
       " 416: ((11, 1),),\n",
       " 428: ((7, 1),),\n",
       " 463: ((9, 2),),\n",
       " 493: ((8, 2),),\n",
       " 504: ((12, 1),),\n",
       " 564: ((4, 1), (1, 1)),\n",
       " 650: ((3, 0), (13, 0)),\n",
       " 672: ((6, 1),),\n",
       " 771: ((2, 1),),\n",
       " 849: ((8, 0),),\n",
       " 932: ((8, 1),),\n",
       " 935: ((1, 0), (4, 0), (9, 0))}"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mol2fp(test_mols[141], radius=2)[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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7dXV1mzZtqq6uzky54biWrkhLV/C2224bP3780aNH165da7Va165dm5lydxx9pmO8I40ePVr5T58+fWw2W1VV1RVXXNHKccgGrVwdg8HA83zS+Q899NBTTz01bdo0IioqKkpnUSGlVq5I8ysYi8XeeOONDz/8sLCwsLCw8Nprr/3nP/+p/g7kqC7VqCeiBx54oKioqKSkhGXZGTNmnPI4ZIOWrs5DDz3Us2fPyy+/fM2aNcqRaDT69ddf19bWnnXWWd26dZs7d24kEslQqYHoVFek+RU8cOBAMBgcPny48nD48OEVFRXpL3YHy3R1uIP5fL6DBw++8cYb99xzTzgcPuVxyAYpr84HH3ywZcuWysrKJ598kuO47du3y7K8b98+Iho1alRtbe3BgweHDh360EMPZbTsZ7pWrkjKK7h161YikiRJOWfJkiXnnHNOxkrfQbpajKp+/vOfz58/v+3HIRu0dHUmT578yCOPyLJcU1NDRMuXL1eO/+1vf7vgggvSWkQ4WRuviHoF9+zZQ0Rer1c5vmjRoksuuSRtpe0kXa1Rr5Jlef/+/W0/DtmgpatjNBpFUSSibt26FRQUMAyT9qJBam28IuoV7NWrl9ls3r59u3L8m2++Oeecczq9lJ0twzHecXw+34IFC/bv39/Y2Lhs2TKz2fzaa6+1chyyQUtXJxAIvPbaa99//31DQ8PLL79sNBq//PJL5SW/+c1vRo8eXV9f//333w8fPlyp40AGpbwirVzBW2+9deLEicrcDLvd3gVG6rtOjAYCgUmTJrlcLp7nBw0atHDhwtaPQzZo6er4/f7Ro0c7HA6z2TxixIh3331XfUkkErntttvsdntxcfFdd92VOJMGMiLlFWnlCvp8vmuuucZsNnfr1u2FF17IXME7DCPLcqYrxAAAOazL9o0CAKQHYhQAQBPEKACAJohRAABNEKMAAJogRgEANEGMAgBoghgFANAEMQoAoAliFABAE8QoAIAmiFEAAE0QowAAmiBGAQA0QYwCAGiCGAUA0AQxCgCgCWIUAEATxCgAgCaIUQAATRCjAACaIEYBADRBjAIAaIIYBQDQBDEKAKAJYhQAQBPEKACAJohRAABNEKMAAJogRgEANEGMAgBoghgFANAEMQoAoAliFABAE8QoAIAmiFEAAE0QowAAmiBGAQA0QYwCAGiCGAUA0AQxCgCgCWIUAEATxCgAgCaIUQAATRCjyTZs2FBbW5vpUgBAztBnugBZZNu2bbIsE1EsFlu1atXw4cOLi4szXSgAyHaMEhyg2LFjR3l5ucPhuOKKK7p165bp4gBADkCj/oRAIFBdXW21WjmOq6qqEkUx0yUCgByA2ugJVVVV+fn5lZWVZWVlwWDQ6XTm5+dnulAAkO0Qo8l27dpVUlLidDozXRAAyA2IUcgKGzZsKCsrKykpyXRBAE4bRuohwzBBAnIdaqMtkiTJ4/FwHGexWDJdli4OEyQgp2GkPjVBEOrr66PRqN/vj8VimS5OV4YJEpDrUBtNQZblo0ePSpKkPNTr9QUFBQzDZLZUXRUmSECuy7EYTdtARCQScbvd6kOTyYSx+06FCRKQu3ImRpWBiEgkUlpaunPnzjQMRHi93lAopD50Op0mk6lT3xEAclHOxCilfSBCluXGxka1Y5RhmIKCAr0ecxvSQZIklkXHPeSGnPlNTf9ABMMwTqdT7RKVZdntdufQX50cJcuyz+draGhQ+6YBslzO1EYzNRARCoW8Xq/60Gw2OxyONLzvmSkej3s8HqUFwPN8Xl5epksEcGo500Tt27cvEblcLp7n07nWxWw2C4IQDoeVh6FQyGg0opO0k4RCIbUXJRKJhEIhs9mc2SIBnFLO1EbTLxaLGQwGIpJluaGhIR6PK8cZhiksLNTpdBktXZfV0NCQ2B+dn5+vXAWArJUzfaPpJMuyx+NpaGiIRqNExDBMXl4eOknTI+lH7fF48KOGLL8nRS7FaCgUCh7XeR+tWCxWX1+vtOI9Ho8y0KHX6202W+I5fr+/kwpwhtPpdImzR+PxuM/ny1xxIMO2bdu2detWOr7lQl1dXaZLlEIuxajf7/cd13kxKsuyOg1AkiR1Er7FYuF5Xj0tGAxGIpFOKsMZjuf5xC7RUCik9k3DmWbEiBFGo3Hz5s3l5eVDhw7Nzm1rcilG08NoNFqtVvWhIAiBQED5v8PhSOwS9Xq9WADeSex2e2KXqNfrVfum4YySE1suIEZTsNlsRqNRfajWOlmWTZyCo2wBleaynSEwaRcUtbW1o0aNGjhw4Lhx47p3756dnzjEaGpOp1NZRWMymRInqBoMhsROUkEQ0EnasaLRqFLj0Ov1drtdPR6Px/GjPgP17ds3Ly9PmenYp0+f7Ny2JksnPLndbrUR53Q6lfZdXV2durKluLi4sxcLRqNRWZYT+0NVTU1NyiC+wuVycRwnSY2ieJRhjDpdD4bhOrVsXZXf7w8EAkajUf20eDyexI7RvLy8lFcEIIOydPq9KIoZ7wvjuBaj0Ol01tfXq5nudh9h2YdFseL483qOu9BiuZHjLu78YnYRymieIAh0vD9a6aF2OByxWEz9ZfB6vQaDAZN2uxJBELxer8PhSOxJyy1o1LdHUiepLHOiOINI3ZA0Ho1+0dT0S4/nIVkWMlLCnMOybOKOrn6/X4nUpE7SxLkT0AUoU4Pj8XhjY2NSp00wGFRHd7McYvQ0KLtmKN0gRqPRbI4mPHk+0fSTT2fC4Q/d7t8QYYuNNlH7oxXqpN2k/mhM2u1KEqe7BAIBdQGbcpX9fn9DQ0N2js4nQoy2VSwWa2hoCAaDyk4lsiwIwv8SbU84ZRbRwISHMhETja4PBJamuag5imXZxIn3iRN4kybtBgKBxL5pyFGiKCZeR4vFoi6/VlevxWKxpqamjBWxbRCjbRKNRhsbG5UeunA4HAqFwuHl8fh3RM8QqWtsdET3EVkTXicTUSDwD1kONfuSkALHcUqXKMdxhYWFiVNHkybtqnVVyF06na6goEDpEk1scyRNE05si2SnLI3RvLy8wuOyYadko9GYWAyfzxcMbiEiokaiZ5W4JCKiQqJfJb1WlgORyGdpKWZXYLPZnE6ny+VKmomRVFdVO0nd7viBA5H9+yO1tUI8no3TTqAVOp0uPz9fuehKD3gkEkmcm5HUEMlOmU+olLJtKFYZ6GhoaJBl+dChQ+FwuH//6UTriASizUTvEf3o+LkXEvUkOpj48ljsW5PpqvQXO0e1tA+h0Wi02Wxqx6ggCBs21O3YcaJOqtczffqYzj/farVm1+8PtE5dNyiKYuL2vkl7WWStLK2NZiG9Xu9wOOLx+Jw5cyZNmvTpp28lVEJfJdq9cuXKJ564Pxa7OylDiUgUMbjcMZRFgerDs8+WXK4Tz8bj8u7doWXL6g8eRM9pTkrsq0mapJHNEKOnwWQyPf/885s2bXK58oYNKydS718fr6194t5773r++X+uWLGt+QtZFts8a+L3+9XbC1osDuH4LDKWpfPPp6TphoIg//e/Td9/jyTNRpIkJd4pMlEgEBCEExMEbTZbrmw1ixg9DevXr3/66adZll269F8FBT3V45JEc+d+6XYHxo+3T5/uav5Cvb5PGovZpYii2NjYGAgEfD6fMhtm06bAtm2kLr7jeRo+PPlVkkRr1nhjMXSVZh2fz+f1epuampKmMSXNY+M4zmKxpL107YQYbSuv13vTTTfF4/F58+ZNmDCB58eqT/31r7Wff+4vKNA/+2yvVE0QhuPGpLGkXUpjY6NSQ1EmwQQC8V27QvX1tG/fiXOKi6l37+QXhkJiZSUmSHSMcDhcV1fn8XgikYiW5ePqnofRaDTxjhLKxVVPSxpOzH5ZGqNut7v+OHVGbmZt3bq1vr7+wgsvfPTRR4nIYrmOYYxEtH176E9/qmEYeuaZXkVFKdogPD9Bry9Nd3G7iqTdSRoavJJEsky7d1PiaqbBg6n57e/27cMupW3V+vbykUhEkqRwOOx2u48eParedvC0iKKYuAO3TqdTR5KTZjglLcTIfllaVmVNvSLTZTlm/PjxW7ZseeONN5T+Gp2uu802NxSSfvnL6lhMvv324ssvT3HHUJbNt9vvTXthu46kLZw5TujenYhIkmjrVlJ/O1iWmm/909gYy8qNd7LLKbeXl2U5cZK8kqftWFmUuNVh4vBR8xlOrWxnkZ2yNEazU//+/fv0OdHLabHMfPRR8759kYEDTfff3735+Tpdocv1F52uMI1l7ILsdrs6XBuNMmolNBQ61rRXKqdVVckvlCRC9+gpnXJ7+eZVGYZhmiddNBptZUFE0lN2u12ZiJ2jM5ySIEZPIR6nJUsoZaXm3XffXbp0Pc8bX3ppDMcl/ST1ZvMPCwpeNxj6paWYXVkoFFJrMRwnqzOcjEY6+2wiIoah/v2pT7NhPJYlvT4Hpstk1im3lzcYDMXFxS6Xy2KxKG1tnueT5iEpqyHq6uoaGxuDwWDzL8KybEFBgTI/NLGFkaMznJJk6fT77PHoozR/Pn36Kf397ycdP3z48O23305Ezz67YMyY2bFYpSB8LUmNRHq9/myOu4RlUwzZw+lK2q05FtPV1Bz7iA4ZQonLWxLqNMe4XIac6mHLDGV7+crKyrKysmAw6PF4nE5nIBDged5oNCqhplQ/OY6z2+2CIDRPOmVzXiISBEEQBJ/Px3Gcy5X8EbDZbBzHqQsC1X28FEl3jskhiNHWfP45PfkksSzddNNJxyVJmjVrVlNT0+TJk2fPnk3EGAyDDYbBGSpml5V075DjA7iNRNSrF3VP6EfZu5caGpJfXlaW7YsIs0Hfvn2JSNlevqSkhIiCwWAoFAqFQizLGo1GnucTq58pdwVtfnvHlhYiqi9PvMsZEXEcl9gJnluyNEbz8vLUD49yPWKxSlk2ER3rkRGEbTw/olM7JTweuvFGEkV68EEaP/6kp5588sk1a9YUFxf//e9/z8U2SK5gGMZms3m9XqXdZ7fbTSZj//7m778PDU74m+Xx0N69ya/leXbw4Fz9WKbfwIEnNidTM1GSpEgkEolEGIYxGo0mk4njuJRj6AaDIWlAuPVholyf4ZQkS2M08U9ZLLbH5/uDIHxDtFSNUbf7t3q9zW6/h+NGdVIZ7ryTvvuOLryQHnzwpONffSW+/noFy7L/+te/svN2r10Jz/MGg8Hj8ej1emWt/cUXWw8dCut0x/7KxuO0dSsljW0wDI0b5zQa0aQ/bZIkJTa0FcpgvTJer9RPTSZTYp5arVar1SqKohK7sVgsKUaDQdHvF4nIbtebzWzSXXVzboZTkiy9F5MqEin3eH5/fA/5pUTO48/MInITMTbbz99+m125cuXVV189efLkxGmGWgQCdNVV9M03tG3bSWMXfj+NGEGHD9Mjj6z/7W8v7ZD3graQZVmp+Pt8vmAwqB7fto0OHz7pTL2eGTvW0acPFuC2UzQaVdKw9a0I1fZ+8/a7erEkSd65M7RzZ8jjOVFRHTBA17//iQy1WCwd9bHNlGyM0XA4HAwG8/Pz4/EdjY13yLI60bd5jBIR3XBDfM2ab4iI47jLL7/86quvnj59el7z2dinSRRpxw4aNuykgz/9KS1ZQuedR198kbyUG9IgGo0mbuJbV0dffXXiWZalXr34Cy+0ORxZ2szKLYIgKJHa+vRtvV6v1E+T9rT0+8VVq9xNTckT9QsK6LzzSKmtGgyG/Pz8XO8Zy64YjcViXq9XWSBhs1nD4dvi8YRFfy3E6JEj+k2bZr7//ierVq1SXvvZZ5+NGdPx6y+XLaMZM8hioc2baeDAU58P7aPWZZJIkpR4J0GdTudyFTQ1iR5PXBRlq1VXVGRoNvMMOkA8Hg+Hw6fMU51Op9RPjUZjKCQuX94YCKSepW800rBhVFREDke+1Zrz9ZFsiVFJknw+X+JiBoaRZfk2oqMJZ6WOUSKy2e60Wn929OjR//znP6tXr3799dfVhsbixeTx0NVXU9++mkp46BANG0ZuN738Mt12m6YvBa2IxWKNjY02m635zhRutztxRDg/Pz937yWZo9Tez+b9p4l0Ol1tLVVViU1Nyd3WiaxWKijgr7hCa8Mx47IlRiORSLM7PsaIniJKaLPR60TqCoeTYtRoHJqff/LEzuMGDqTdu4mIBg+madNo6lS69FI63TaEJNGECfTZZzR9Or377um9FtpOlmV1xwqe5x0OhzryEAwGE1dk22w2da9fSL825mkoRBdfXEREjz9+VKnY/P3vzh49YldcESQihiFZpunTCwoLc3K6qCpbWkA8zycO7XEcZzA8n5ChPNF1Soa+8MILy5Yt83pP6nCJx6tTfllZpiefpBtvJKeTdu6kP/yBRo+mAwdOu3iPPUaffUZnnUUvv3zar4W28/l8arMx8SOaNAnfaDQiQzNLp9NZLJb8/Pzi4mKn08lxXMp+GOWihcPMF1+kmHymVOH27s35HWSyqCfebrc3NDTodDq73c5xXGNjPRERMUTjiW4myiOiSCTy9NN/CIUEnY457zzLtGl506blFRcbZDn1Hr0MQ9On0/TpJAi0Zg29+y4dOJBiU7XWrV9PTzxBLEtLlqTY/wI6SiQSSdzQ12w2KzfhSbxPJB1fMpiREkJzLMuaTCaTyaTMlFKqqOrFOnKEiOiyy4IrV1pHjgylnNR09Ghr9dmckIHaqCzLgUAgcQGDQq/Xu1yuwsJCpVrKsgVEfYn+SHS3kqHKa3//+7mjRtkZhjZtCjz00KHzz98+ffrul1/2HWi1kmk00pVX0ksv0apVp1dar5duuonicZo3jyZMOL3XQtvJspzYZtfr9eokGL/fn7gtW9ItQiFLsCzL87zT6SwuLv7mG/bwYYrFSNkuavDgqN0ubdyYegpaJJIV/YpapLs2GolEfD6fKIoMw5hMpqTPgzpiIEmSJM0g6p4U9CZT6OabmZtv7uf1iv/9r2f1au8nn3i//DLw5ZcVDz3Ue/DgwTNmzJg2bdr555/fvuKFw1IwKBoMjM2mV/5y3nknVVfT+efTI4+070tCmzAM43K5lI0sE7eoiEajibNElYpP5ooJp8YwjM/HHjwoseyJ8aUpU/xvvmm/5JIU7XeDIbdnO1E6h5ji8bjP50vcuJDn+ZSzO8PhsM/nazb1VyBaQfQm0UlXIhiUPvnE+8knfT76aKPafTZo0KDp06fPmPHz4cPbtF+yIMjffhvcuzfk8x2bn6HXM6Wl3O7d9l/9Smex0Nat1L//aXyz0D6yLPv9fqXfjVLNcCosLMz1OYZngtWr3fv3H5tT8cADRbfd5i4riz35ZMGECcGKCk4dYlL062caP96ZmYJ2kPTVRv1+f2KGEpEgCJIkJS4CS5w3erKviBYTJW8oS0QWCztjxpTZsxdGo9F169atWLHizTffrKysrKysXLFintdLP/4xTZtG48ZRS7e7r60VVq92h0InpXY8LldWRu+/nyGiRYuQoWnCMEzigpbEXdSIKEd3UTsD9erFqzGqmjLF/8479tLS5E937945v4NM+vpGEzffJSKz2VxYWKhmqCRJHo+noaEhKUMZponoUaL5KTOUiPT6UqfzETq+hGnBggWHDx9evXr1XXfd73bbDx6khQtp4kQqLaWf/5z++19KiujaWuHDD5uSMlTB8/Kdd7ovuyzYu7dHyzcO7RMMBhP/7tpsNswSzRVlZabmC8mGDo0ajXJFxUlr7fPy9GefjRhtM7WlZjQaCwsLk6YEHj16NHHuPRExDGO1WouK+phMJQl3hD+J0Xhefv7LSTt76vX6yy677Lnn/t+hQ7RjBz38MA0YQLW19NJLdOWVVFRE11xDS5ZQIECCIK9e7YnHW+zW6NdPuOYa35494d27cXO0tMIMp5zGsjRunINlk5sOU6cGQqETmaPXM+PGObtAAyOt0++VfWL4hL12BUFIupuVguO4xAFZQdgaDL4ZjW6UZWXWrtFoHG42T+f5y4nadBEqKuj992nFClq//tgRk4kuuCDet29g2LCIySQ/8ECLk4SJyGLRXXddUS7vQZNLZFlubGxU2yXKxukYnc85330X+eQTTzwuK9PskxgMzMSJeT165Nhtl1LK2ComURT9fn9SDZSIDAaD3W5vofkmS1KjLEs6XT5ROz9Ue/fSu+/Su+/Spk3HLq1eL996q2fZMns4zPzkJ/5Ro0LULEaJaPJkV9e45NnP6/UmTiB1Op0Ync9RXm9840b/wYORxJhhGOrVi7/4Yrvd3kX+NGZg+r0sy8FgMBAIJCU4y7JWq7X5SuoEDMsWaHz3fv1o3jyaN4/27ZMeecS/fTtfUcH17BmjU00SrqsTEKNpEI1GkybhI0Nzl8Ohv/LKvGBQrKkR/H5Rlsnh0HXvbjSbu0iAKjI2bzTpuMlkstvt6dy6NT9fGj06NHp0KBhkLRaJiAYPjlZU8Bs3mkaOTDG7LRxube9F6BDKSKP6UFnSlrniQMewWHT9+nXlv4Xpi614PN7U1OR2u5My1GAwFBQUpH/7a/WekUqGKqZM8a9caU25Jw3uMdmpNmzYUFtbq94vRJGXl4cZTpD9OiW5lI+E+lCZU93Q0JA0b5RlWbvdXlBQkJHbAVosOqMx+SN67rlRs1netCnFX868vCzaf6Ar2bZt29atW4koFot9+eWX6pJQm82Wo/eJhDNNB8do4kdi1apVdXV1kUikvr6+eU+oxWIpKipqtSe0czEM9eyZYsLalCn+Dz9MrpCybOqTQbsRI0YYjcbNmzeXl5cPGzZswIABVqsVM5wgh3RwjCZ+JIYOHWqz2Zq34pV5o0mz8TNi2DALwyTvPZpyknD//maTCdOdOkUgEKiurrZarRzHVVVViaJos9nysZUW5I4Ojoakj4TRaEyc7qfT6ZxOZ35+vr6lhZnplZ9vGD7cKsvJSZo0Sdhq1V18sS35xdBBamtrR40aNXDgwHHjxnXv3j1xiAkgJ3TwvNGqqqr8/PzKysqysrJgMOh0Oi0Wi7KtvcVisdlsGa+BJpFlWr/eu3Nni4uUbDbd5Mku3CKts+3ataukpAQbiUIu6pTp90kfiUAg0HxPvKyyb1940ya/ur2TgmWZAQNMF11kw13SAKAV2XIvpoyTZaqtFerqhFBIMhgYp1NfWsrxPAIUAE4BMQoAoAlqWwAAmiBGAQA0QYwCAGiCGAUA0AQxCgCgCWIUAEATxCgAgCaIUQAATRCjAACaIEYBADRBjAIAaIIYBQDQBDEKAKAJYhQAQBPEKACAJohRAABNEKMAAJogRgEANEGMAgBoghgFANAEMQoAoAliFABAE8QoAIAmiFEAAE0QowAAmiBGAQA06SIxeuDAAbPZPGnSJOWhIAhz5szp06eP2WweNmzYe++9p565c+fOCRMm2Gy2bt263XvvvZIkZajIcEzrVyTpyhLR7t27L7vsMqvV2qdPn7feeivt5YVkc+bM6dmzJ8/zZWVlzzzzjHIwHo8zJ/v1r3+tPNUFP4NylzB16tRRo0ZdeeWVykOfzzdnzpxNmzbV1dW9+OKLHMft3btXeWrEiBG33nprMBjcs2fP2WefvXjx4syVGmT5VFck6crGYrEBAwbMmzcvGAx++umnVqt1+/btmSg1nLB27drq6uqmpqYvvviiuLh41apVyvHwcY2NjVarde3atcrxrvcZ7Aq10eXLlzMMM2XKFPWIzWZbtGjRBRdcUFRUNHv27J49e27dulV5qrq6etasWWazuV+/fhMnTqyoqMhQqeGYVq5I8yu7e/fuvXv3Pvzww2azeezYsZMmTXr11VczUGhIMHr06F69euXl5fXp08dms1VVVSnH+eM++OCDoqKi0aNHK8e73mcw52M0GAzOmzfvueeea+mE2traAwcODBkyRHl49913L126NBQKVVVVffLJJ4mtRciIlq5IyiurNAAZhlGPbN++PY2FhdQeeOCBoqKikpISlmVnzJiR9Oyrr77605/+VH3Y9T6DOR+jjz322PXXX19WVpby2Wg0et11191xxx2DBg1SjkyePHndunUWi6Vfv35TpkzpApcw17V0RVJe2YEDB/bu3Xv+/PmCIKxfv/7DDz8MhUKZKDWc5P7779+yZctrr702depUm82W+NTBgwc/++yzWbNmqUe63mcwt2N0586dy5cvnzdvXspnY7HYNddcU1hYuGDBAuVIKBSaNGnSrFmzwuHwwYMHt2zZMn/+/DSWF5K1dEVaurIGg+E///nPF1980a1bt/vuu++6667r0aNHJgoOJ7HZbKWlpTNnzgyFQk8//XTiU//85z/HjBnTq1cv5WHX/AxmunNWkxdeeMFsNhcXFxcXF1utVqPRePbZZytPxWKxq6++etq0aYIgqOfv3buXiPx+v/Jw0aJFl156afqLDaqWrkgrVzbRhAkT/vznP6ezwNC62bNn/+xnP0s80rdv31dffVV92CU/g7kdo6FQ6Mhxv/vd78aPH19bWyvLcjwev/baa8ePH+/xeJSxwng8LstyLBYrKip66qmnBEGoqam59NJL77zzzkx/E2e0lq5IS1dWluUvvviipqampqbmscce69atWyAQyOh3cKbz+XwLFizYv39/Y2PjsmXLzGbza6+9pj67du1aq9WaeI265Gcwt2M00ZNPPqlOi6murk6qdD/77LPKUxs3bhw5cqTNZissLLzhhhvcbnemCgyKU16RxCsry/KDDz7odDp5nr/88st37tyZ1rJCM4FAYNKkSS6Xi+f5QYMGLVy4MPHZW2+99eabb056Sdf7DDKyLKe/JwEAoMvI7SEmAICMQ4wCAGiCGAUA0AQxCgCgCWIUAEATxCgAgCaIUQAATRCjAACaIEYBADRBjAIAaIIYBQDQBDEKAKAJYhQAQBPEKACAJohRAABNEKMAAJogRgEANEGMAgBoghgFANAEMQoAoAliFABAE8QoAIAmiFEAAE0QowAAmiBGAQA0QYwCAGiSazG6cCH1708cR3370rPPZro0AACkz3QBTsf8+fTii/Tqq3TxxbR5M918M3m99MgjmS4WAJzRGFmWM12GtvH5qKSE3nmHrrrq2JHycpo8mWpqyOXKaMkA4IyWO436L78kohMZSkQTJpDJRBs2ZKpEAACUSzHa2EjFxckHi4upsTETpQEAOCZ3YtTlorq65IN1dZSfn4nSAAAckzsxevHFREQrV544Ul5O4TD94AeZKhEAAOVSjDocNG8e3X47rV5Nfj99+in97Gf0m990mdrohg0bamtrM10KADhtuTNSHwpRNEqvvEIvvkgHD1JpKf3iFzR7NsXjZLWSwZDp8rXftm3bZFmORCKlpaU7d+4cPnx4cfNeYADIVrlTG73vPnK5yGSiqioSBNq3j+69l264gVwu+uijTBdOkxEjRhiNxs2bN5eXlw8dOhQZCpBbcidGlVozw5z6YK4JBALV1dVWq5XjuKqqKlEUM10iADgNubOKqevGaG1t7ahRoyorK8vKyoLBoMfjye8qHb4AZ4LcidGUukSM9u3bl4hcLhfP8yUlJZkuDgCcntyJ0a5bG1UMHDgw00UAgPbI8b5RAIBMQ200w9xutyRJPM+bTCaWzZ2/agBwXO7EaEo5HqOyLEejUVmWBUHw+XyFhYV6fY5fEYAzT+5Uf7pibVTJUOX/Op0OGQqQixCjmRSJRNT/8zyfwZIAQLt1iRjNTcoCUPUhYhQgR+VMjN5GxBC9cvLBiUQM0ercrI0KgqC26FmWNRqNmS0PALRPzsSokjjMyYmZ8mCuQFUUoGtAjGZMYoyaTKYMlgQAtMiZoWElMQ8eFFaubAqHJZYlh0MfDkuZLlc7RaNRSTpWeLToAXJabsSoKMpHjwpEdOBApFu3qHLw6NFYU1OMiBoa4pksXLugRQ/QZeRAoz4el1eubHK7U2SlUkX96iv/7t2htJdLk2g0qv4fMQqQ03IgRj//3FtTI7TQDaqMdDPr1nlra4X0l619BEFQNxVlGAYteoCclu0xWlsr7NkTJiI1MVOeJkn0+ee+tJVKo6QWfY4OkQGAIttjtKLiWGv9lCP1TU2xI0dyo0KKjlGAriTbY/T779U+xJS10ZMOHj4cpawXi8USW/Qcx2W2PACgUVaP1AuCFIkkTWmSN236TzDoPnJkz8SJP0863+/P2rsYSdHo5mh0gygejMVGEf1AOcpxHFr0ALkuq2+wHI1K//xn3fH/hw4e3L58+VNVVV/p9cZ4XDAYuMsuu338+J/Z7QUsqyeiPn1Ml13mzGSJUxGEr73e/xeP7z9+4AWiHsr/zOZqh2NkpgoGAB0iqxv1HMcajQwRBYOe5cuffOaZGVVVX1kseZMn3zVq1A3xeOyjj/7y5JOTv/rq38r5Vqsuo+VNIRx+v7FxdkKGMkRLiT4jChHFQ6H7fb4/He+aAICclNW1USJaubL+9ddfXb78qUCgSaczjB0764c//I3JZCei77775o03flddvZWIBgy4dObMx2+9dWRpaRZ1NQrClsbGXxClXGplIOpNtIeI7Pa7LJab0lw2AOgoKWI0EAj86Ec/uu+++6688sqMlEm1Zs2aO++cu2vXDiIaOHDUtdc+3r37gMQTZFn68st3li17zO9v1OkMv/zlLx5//HG73Z6h8iaR6utnxOPfnfI8hjEWFv5bpytOQ5kAoMOlaNQ///zz5eXlkyZNmjp16u7du9NfJiI6fPjwrFmzJkyYsGvXju7de99xx0t33/1WUoYSEcOwl1wy47HHPp8w4VYiaeHChQMGDFi8eLG6XD2DIpHPEzP0ootWXHTRiljs2JjenDmPv/DCsRqoLAuh0DsZKCIAdIQUMXrPPfc899xzDofjgw8+GDJkyOzZsxsaGtJWoFAo9Mgjj/Tr12/p0qUWi+Xhhx/euXPHxIlXt/ISs9nx5z8/t3nz5lGjRtXW1s6ePfuSSy758ssv01bmlKLRDUlH/H7L229PbeHk9Z1fIgDoFCli1GAw3HXXXfv27Zs7d64kSYsXLx4wYMCCBQvi8c7dAUSW6d///nrAgAGPPvpoNBq96aab9uzZ88gjjzgc5h/+ML9v39RbyXEcO26cc8QI6/Dhw9etW/fee++VlpZu2rRp5MiRs2bNqq+v79Qyt0IUDyYduf32NxYtuiUeTzEOFo8nnwwAuaLFkfr8/PwFCxZ8++23V155ZVNT069//eshQ4asXLmyk8rx9dc0dizdfvtQv1933nnnrVu3bsmSJd27d1eeNRqZCROc06cXDB5sdrkMHMeazWz37sZLLrHPnFnYv/+JhJ02bVplZeXDDz9sMBiWLl2q/AFQp7unkyzHiKiuruDIkSLlyNixGwsKmt55Z3Kq03NvkyoAOEZug2XLlvXu3Vs5f+bMG6uq2vKitqqvl2fPlnU6mUguLpZff32/KIrav+yePXuuuuoqpcxKRVX712y7AwfkJ598f/ToL/X6+M9+9n81Nef36FGzYsXN//rXr3r3/u7QoQuvvvrDBx98rqbmfOVfXd20dBYPADpQm+aN/uQnP9m1a9dzzz1nt9trawcNGkR33UVebyuvkOLx/dHoV7HYt7IcaOmkeJwWL6ZBg+ill4hlae5c2r2brruuN8t2wGzWfv36ffjhh++9917v3r2//vrrMWPGXHPNNYcOHWrpfFmOxmKV0ehXsdhuWW7n2vyKCpo/n847j3r1ovvvn7Ju3UV6fTwWM6gnTJiwweEILF8+KemFRuN57XtHAMi405s3euTIkUceyfvb33hJouJieuIJuuUWSgw9UTwaCPwjEvlIkvzHj7Ecd4HF8lOOuzjxS61ZQ3fdRd9+S0R02WW0YAGdc47WbyalcDi8cOHC+fPnBwIBi8Vy77333n///Ykr2WOxPYHAK9HoOjU9GYbjuDE22616fd+2vEVFBb39Nr31FlVWHjtiNtP48fErr/zjlVeustmCRHTRRSteeOGB88//9uOPRz/++F3nnrt7yJBdv/jFUuX8/PyXjcYRiWWOxWJZM3MLAFpzevW+bt26vfQSv2kTjR5NdXV02210wQW0du2xZyORNfX1M0KhtxMylIjkaPSrpqZfer2PK92Fhw7RrFk0YQJ9+y317UtvvUWrV3dWhhKRyWSaN29eZWXlTTfdFAwGH3300aFDh6qdvIHAPxoabopEPkmsgcpyNBL5uL7+hmBwaUtfVpLo88/pt7+lfv3o3HPp0UepspJcLrrpJnrvPWpqovff199ySw+bLZi0ncrEietMpsiaNcqyepbocp6fqGaoLMtut9vj8QSDwXA43NE/DADoeO1fxbRiBc2dSwcOEBFNnUp/+tOXDsevWlixc4wsX7V48WN/+AMTiZDFQvfeS7/9LaVzo7jy8vK5c+dWVFQQ0dSpU596aqTL9Q4R08JyTIZIttl+abXeoh4SBKG8vPzdd989cGDyxx//WDnYowf9+Md09dU0ZgzpThqHl9zu+yORTyihNkpEq1aNveWWpx98cPEvftGd6HyLxWi35ysvaGpqUjfGZximoKBAr8/q7WMAQNNi0HCYFi6kJ54gv58MhvisWcvuu+8FpQ3b3Mcfj/nd735z+HA3hqH/+R/685+pZ892v3P7xWKxv/71rw899JDP5+N59pe/LJ4zp4TjWqqVM0RMQcE/4vGy1atXv/322ytWrPB4PER0ySU/qa1d9sMf0owZdOml1PI+TaLP95dg8LVmf2D6Ej1ElKc8cLlcSj9DPB5vaGhQLorBYHA6nYhRgCzXAWvqDx+m//3fXW+/PUCWmd//fuGrr84govXrpxsMcSKaM+fxc87Z86Mf/ffSS/8djRqHD9/zwgt9Lrkkw3uIHDly5Ne/Hvf223tkmbp1M/72t91nzMhvfprPJ378sfejj5g1a2pDoWMbSA8bNmz69OlXX/0/Q4a0tSciHt8XDL4VjX4hijVExLIug+EHsdhtknQsIlmWLSgo0Ol0RBQKhbxer8lkcjgc2EYPIPt1zNYkR49e9dVX3V544ca//OXBMWOW+f2WBx9ceP31y+l4jP7iF0tffPHGvDzfjBnvFxQsShpuSj9RrD96dPLXXwd+97tD27YFiWjUKNvjj5cOGGAiIrc7vnq19/333Z9+6ovFjv18Bg8ePGPGjOuuu27AgOQ1qW0nyzEiiWE4IorFYonLw4xGY37+sSgXBAE3aALIFR0Qo6JYd/ToFPXhRRetmDnzvbffnrpu3dV6vajGqHqCzXan1fozjW+qUSSy1u2+h4hEUV6ypOFPf6rxeOIGAzN+vN3nEzdtCoqiTEQ6HfODH1ivuirvuusW9u79ow4vRiAQ8PtPDMfZbDar1drh7wIAnaoDZmhKkifpSKvLdVKcn35qGXQ65pZbCjdsOOfWW4tEUd65M7xxY0Cno9Gj7Y89Vrp165C33up/yy2FJSWGVr9eO1mt1sSpV36/XxBy43ZSAKDqgBhlGHPzg3ff/fLChbeIYoqvzzCpV8enE8ueVAanU//446UzZxYcPixMm5a3Y8ewN9/sd9ttRYWFx9Iz5ffYIZxOZ+JyA4/H03x7KlmWPR5PYr0VALJHB8SoXt+9ecq0tFyHiAyGftrfVCO9PkUZiooMRDRwoKn5LvoGQ5vm4bcDy7J5eXnqQ1EUlZkAKqULNRwOBwIBdS4UAGSPDrmJiI7nxzY/evfdLy9Y8DNJOuktGMbEcT/oiDfVRK/vpdf3buPJBkN/na5H5xXGaDQmdolGo9Fg8MSkMbfbre6tlbKuCgCZ1TH3YrJaf0qUXIM7ebnOMRbLNQxj6ZA31ej4pPpTzyhKnH7fSWw2W+LQvM/ni8Viyv+dTqd6XJIkt9vd2YUBgNPSMTGq1/e12W4noqRUuueel73eEwvDDYZ+VuvtHfKOGtXV1W3ebP3++2GnvJ0cz0/k+YlpKFJSJ6nb7VYmURiNRpvNph4XBEGdwQoA2aDD7gxqtd5qscwikr/6atr553+7atXY0tKvli2bUlNzgTLbyWDo73ItYpg0rv1s2YoVK8aMGfviixLHjW7lNJ4f53Q+mp4i6XS6xIpnYidp4oC+yWQymTI/RgcAqg68wTJjt891uRYaDP2JSJJYUWSVkXqWtVmtd+Tnv8qyBR33dh1C53I943A8oNMVJT+hK3E4fp+X9yeGSd80eI7jLJYTPR6RSESteCqrQp1Op9PpxNImgKzSweu1OW4kx42MxfaazY1EZDD0cbkWGY3nKet2shJjNl9tNv9YELZz3GNE/+a4Ufn5DxiNQzr0b0xb2Ww2QRDUjlGfz2cwGAwGA8uyhYWF6S8PAJxSpySFwdCP4y4hIp2ulON+kMUZqmKNxuEGwzlEZDSeazQOy0iGEhHDMIn1TWXGaIcs2AWATpKZsIBW6PV6h8OhPozH4z6fL4PlAYDWIUazUdI4UigUwhbOAFkLMZqlHA5H4k6jfr9/w4YNtbW1GSwSAKSEGM1SDMPk5eUpnaRVVVUHDx4kolgstmrVqrq6ukyXDgBOQIxmL71eb7fbrVbr6NGjeZ7fvHlzeXn50KFDi4uLM100ADgBMZrVzGazzWYLBALV1dXKJPyqqipRFDNdLgA4Aff5yQG1tbWjRo2qrKwsKysLBoMej0fdJx8AMg4xmgP69u1LRC6Xi+f5kpKSTBcHAE6CGM0ZAwcOzHQRACAF9I0CAGjSWbVRjts7duzenj1NROM76S0AALJBZ9VGo9Edn3025eDBhZ309QEAsgQa9QAAmiBGAQA0QYwCAGiCGAUA0AQxCgCgSYdPeJKj0Q3h8Ade78dEFI2ub2y8g+fHms0/YhjrKV+cEbIci0Q+CodXB4PvE1EgsKSpqdFkmmgyXYnlCQBwSh0ZE6JY6/E8JAhbiUiSPEQkyzFB2CoIWwOBfzgcD/D8hA58uw4Ri+3weB6Kxw8SkSyHiUiWQ9Ho59Ho54HA353Oxw2GwZkuIwBktQ5r1Ivi4cbGW5QMbU6SPG73vFDonY56O41KSkouvfTS3r35xsbZSoY2F49/19h4R0vfEQCAoqNiNO52/0YU64nMRDcT9Ux1juz1/lEQtnfQO2oyderUzz7792237ZTlaCunyXLE7b5PkprSVjAAyDkdE6Oh0PJYrIpoAtGLRD8huqOFE0Wf75kOeUftAoGXJOnUt4qTJI/fvzgN5QGAHNUxMRoMbiH6I9HdRHlERDSMqF/KM2OxHbHYng55Uy1kORwOryRi2nJyOPxh65VWADiTaY1RURSbmo7G43OJkrZxu5CIiEqIRiellSBs0fim2sViO2Q5SpR4//dzic4lIqIfEd1BNFj94chyKBbbmf5CAkBOaP9IvSzLgUAgGAzKsnzyMwLRCo57t6DA6HCcS3Qf0Y+JFhPtVp4Wxczf3vLkMriIbiYaZ7H8taBgo8VSTDSNaBqRj2gL0edEW0URd5EDgNSYZiHYJpFIxOfzpbop0FdEi4mU0LmPaPTx4xLRZ0R/J/JYLLPs9rntLnGHCIc/9HgeItITTSa6gcisPkNkanZ6wGiMWSxlHMcpt+oEAFCddm00Fov5fD5BEJo9U0X0N6KK4w+LiEYmPMsSjSe6kOg1vb60fWXtQDpdD6Lzie4g6n7yM80zlIisgkCC4GYYhuM4nud5nkeeAoDiNGqjoigGAoFQKJR0nGVZlv1PPP43Iun4sVKi24jOI5KbD+Po9WS3uziO01RwDURR9Pt94XCk2TPVRK8QcUSjiC4isrT0FRiGMRqNHMeZTCaWxYJagDNam2JUluVgMBgIBJJOZhhGuQNwNLrG7b6PiIhsRNcRTUkYvNpPpG8+k5TjOIfDodPpOuCbaLOW+3MDRG8QvZ/wl8BANJjoYqJRx6cfpGY0GpX6aZq/FwDIEqeO0Za6QU/OQbmx8R5BKCS6plklLk50L9E5RNcnPaWmcHoayC18I0qn7StE3pSv0ut72+3/iEalSCTS+g3i9Xo9z/Mmk0mvx0p8gDNIazHaUjeowWCw2+1Go1E9Eo1GfT5PPC5Rsm+IXib6jogYpojjFkQiyRuU6HQ6m81mMqXslOwY8Xjc5/NFo8lzP/V6WZafEMUvW3qhTlfscr2odubG4/FwOByJROLxeCtvp+Qpx3GJPyLFhg0bysrKcJNkgK4kdYxKkuT3+1N2g1qtVovlRKWypYQiqiF6hegr5YHBMNjheNBg6NdKNDscDoPBoO3bSdZSK55lWZvNZjabRbHe53syElnb/LU8P97h+C3L5jd/Kh6PRyKRaDSaaqjtBJ1Op7T3jUbjtm3bZFmORCKlpaU7d+4cPnx4cXGxxu8OALJB6hh1u92RyEkjMM0b4JIkKQmV9FqWJYNhN9EHklTHMGaDoQ/HjeW4CxPHmlrqKDCZTHa7vaMGbVp6F4vFktSTEIvtikRWx2K7JcnDsk6DYRDPX24w9D/lWyh5GolEYrFYK6fpdDqr1bp///7y8nKHw3HFFVd069atfd8UAGSbFDG6YcOGs88+W6fTqU9xHGe32xO7/EKhkN/vl6TkVnzbc7CVeqLFYrFYLFo6TFuq8xqNRofD0Rl9l5IkRaPRcDicqmJORKTX6zdu3FhfX282m88666yRI0diSAqgazgpRhMbnl9//XVZWVlRUZHdbk+cnBSNRn0+X/POQaPRaLfbT7dVHo/H/X5/Us2XiPR6fdL7tlFLdeQ09MCqBYhGo0qTP/FnGwgECgoKKisry8rKgsGg0+nMz0/RXQAAOSe5Nrpjxw6l4Xn55Zfn5eWZzeryntYiz2az8Tzf7kK0FM2nOykqHA77fL6kOnKa5wOoZFlW8jQSiRgMBiU0d+3aVVJS4nQ601kSAOhUTFKNac2aNc0bnpIkBYPB5g1whmEsFovVau2QhAoGg36/v6Wpqa2/RSwW83q9zTsoMzI7NYksy5IkoQkP0FWdFKNVVVX5+flJDc+UVTzq6OEgRRub5InThlqaVNDubgEAgNOSYogpseEpCEJjY2PSCe3rBm27ViZFHThwgGVZddrQgAEDeJ7v1DoyAEDrTr2KKXHyU9oGaqiF6UpWq/W7775Tem8nTpyo1+uTTsiGVjwAnFFO3SS32+0MwzAMY7VaCwsL05OhRMTzfGFhYWKlUgnH6upqq9XKcdy+ffsSFwLo9XqXy+VyuZChAJBObdqaRBlrzlQ8iaLo8/kikYjT6fz++++Tem8ZhonFYklrqwAA0qad2zannyAI6hL1xN5bURQZhsFudQCQKTkTowAA2QmVOAAATRCjAACaIEYBADRBjAIAaIIYBQDQBDEKAKAJYhQAQBPEKACAJohRAABNEKMAAJogRgEANEGMAgBoktsxKgjCnDlz+vTpYzabhw0b9t5776lP7dy5c8KECTabrVu3bvfee696E5Q5c+b07NmT5/mysrJnnnkmQwUHgK4jt2M0Go0yDPPmm28eOHDgzjvvvOaaa6qqqpSnbrzxxrKysrq6urVr1y5btuyVV15Rjl977bVr1649cuTI66+//sc//vG///1v5ooPAF1BbseozWZbtGjRBRdcUFRUNHv27J49e27dulV5qrq6etasWWazuV+/fhMnTqyoqFCOjx49ulevXnl5eX369LHZbGrsAgC0T27HaKLa2toDBw4MGTJEeXj33XcvXbo0FApVVVV98sknkyZNUs984IEHioqKSkpKWJadMWNGhsoLAF1EF9m2ORqNTpo06ZxzzvnLX/6iHNm8efONN964e/duIpozZ86iRYvUk/1+v8fjWb9+/aZNm5544gme5zNTaADoErpCbTQWi11zzTWFhYULFixQjoRCoUmTJs2aNSscDh88eHDLli3z589Xz7fZbKWlpTNnzgyFQk8//XSGSg0AXUTOx2g8Hp85c6Ysy6+99pp6072amprGxsa5c+fyPF9aWnr99dd/9NFHzV8ry/L+/fvTW14A6GpyO0ZFUbzxxhvdbvfSpUtFUYxEIspt63v16lVUVPT888/HYrEjR4783//937Bhw4jI7/cvXLiwurq6qanpnXfeWbp06WWXXZbpbwIAcpycy6qrq5O+nWeffVZ5auPGjSNHjrTZbIWFhTfccIPb7ZZlORAITJo0yeVy8Tw/aNCghQsXZrDwANA1dJEhJgCATMntRj0AQMYhRgEANEGMAgBo8v8Bob5qwLytl4oAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<PIL.PngImagePlugin.PngImageFile image mode=RGB size=450x450 at 0x7F78E85E4860>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# https://iwatobipen.wordpress.com/2018/11/07/visualize-important-features-of-machine-leaning-rdkit/\n",
    "fimportance_dict = dict(zip(range(1024), clf.feature_importances_))\n",
    "sorteddata = sorted(fimportance_dict.items(), key=lambda x:-x[1])\n",
    "top50feat = [x[0] for x in sorteddata][:50]\n",
    "\n",
    "fp, bitinfo = mol2fp(test_mols[141])\n",
    "onbit = [bit for bit in bitinfo.keys()]\n",
    "importantonbits = list(set(onbit) & set(top50feat))\n",
    "\n",
    "tpls = [(test_mols[141], x, bitinfo) for x in importantonbits]\n",
    "Draw.DrawMorganBits(tpls, legends = [str(x) for x in importantonbits])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True: (C) high vs Predicted: (B) medium\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<img style='width: 720px; margin: 0px; float: left; border: 0px solid black;' 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' 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\n",
      "text/plain": [
       "<Figure size 1296x648 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mol = test_mols[141]\n",
    "show_pred_results(mol, clf)\n",
    "weights = weights_from_feat_imp(mol, clf.feature_importances_, collided_bits='mean')\n",
    "plot_explainable_images(mol, weight_fn=None, weights=weights, atoms=['C', 'N', 'O', 'S', 'F', 'Cl', 'P', 'Br'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{80: ((3, 0), (4, 0)),\n",
       " 232: ((3, 2), (4, 2)),\n",
       " 263: ((1, 2), (5, 2)),\n",
       " 389: ((2, 1), (7, 1)),\n",
       " 540: ((3, 1), (4, 1)),\n",
       " 650: ((0, 0), (6, 0)),\n",
       " 713: ((1, 1), (5, 1)),\n",
       " 807: ((1, 0), (2, 0), (5, 0), (7, 0)),\n",
       " 893: ((0, 1), (6, 1))}"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mol2fp(test_mols[79], radius=2)[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.PngImagePlugin.PngImageFile image mode=RGB size=450x300 at 0x7F78E8350828>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# https://iwatobipen.wordpress.com/2018/11/07/visualize-important-features-of-machine-leaning-rdkit/\n",
    "fp, bitinfo = mol2fp(test_mols[79])\n",
    "onbit = [bit for bit in bitinfo.keys()]\n",
    "importantonbits = list(set(onbit) & set(top50feat))\n",
    "\n",
    "tpls = [(test_mols[79], x, bitinfo) for x in importantonbits]\n",
    "Draw.DrawMorganBits(tpls, legends = [str(x) for x in importantonbits])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True: (C) high vs Predicted: (C) high\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<img style='width: 720px; margin: 0px; float: left; border: 0px solid black;' 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' 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\n",
      "text/plain": [
       "<Figure size 1296x648 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mol = test_mols[79]\n",
    "show_pred_results(mol, clf)\n",
    "weights = weights_from_feat_imp(mol, clf.feature_importances_, collided_bits='mean')\n",
    "plot_explainable_images(mol, weight_fn=None, weights=weights, atoms=['C', 'N', 'O', 'S', 'F', 'Cl', 'P', 'Br'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## SHAP"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 70.2 ms, sys: 3.55 ms, total: 73.7 ms\n",
      "Wall time: 72.7 ms\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "explainer = shap.TreeExplainer(clf, data=X_train, feature_dependence=\"independent\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|===================| 3073/3075 [09:51<00:00]        "
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x684 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 9min 51s, sys: 979 ms, total: 9min 52s\n",
      "Wall time: 9min 51s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "shap_values = explainer.shap_values(X_train)\n",
    "shap.summary_plot(shap_values, X_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 99%|===================| 766/771 [02:26<00:00]        "
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x684 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 2min 28s, sys: 228 ms, total: 2min 28s\n",
      "Wall time: 2min 27s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "shap_values = explainer.shap_values(X_test)\n",
    "shap.summary_plot(shap_values, X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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