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search.js
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window.pdocSearch = (function(){
/** elasticlunr - http://weixsong.github.io * Copyright (C) 2017 Oliver Nightingale * Copyright (C) 2017 Wei Song * MIT Licensed */!function(){function e(e){if(null===e||"object"!=typeof e)return e;var t=e.constructor();for(var n in e)e.hasOwnProperty(n)&&(t[n]=e[n]);return t}var t=function(e){var n=new t.Index;return n.pipeline.add(t.trimmer,t.stopWordFilter,t.stemmer),e&&e.call(n,n),n};t.version="0.9.5",lunr=t,t.utils={},t.utils.warn=function(e){return function(t){e.console&&console.warn&&console.warn(t)}}(this),t.utils.toString=function(e){return void 0===e||null===e?"":e.toString()},t.EventEmitter=function(){this.events={}},t.EventEmitter.prototype.addListener=function(){var e=Array.prototype.slice.call(arguments),t=e.pop(),n=e;if("function"!=typeof t)throw new TypeError("last argument must be a function");n.forEach(function(e){this.hasHandler(e)||(this.events[e]=[]),this.events[e].push(t)},this)},t.EventEmitter.prototype.removeListener=function(e,t){if(this.hasHandler(e)){var n=this.events[e].indexOf(t);-1!==n&&(this.events[e].splice(n,1),0==this.events[e].length&&delete this.events[e])}},t.EventEmitter.prototype.emit=function(e){if(this.hasHandler(e)){var t=Array.prototype.slice.call(arguments,1);this.events[e].forEach(function(e){e.apply(void 0,t)},this)}},t.EventEmitter.prototype.hasHandler=function(e){return e in this.events},t.tokenizer=function(e){if(!arguments.length||null===e||void 0===e)return[];if(Array.isArray(e)){var n=e.filter(function(e){return null===e||void 0===e?!1:!0});n=n.map(function(e){return t.utils.toString(e).toLowerCase()});var i=[];return n.forEach(function(e){var n=e.split(t.tokenizer.seperator);i=i.concat(n)},this),i}return e.toString().trim().toLowerCase().split(t.tokenizer.seperator)},t.tokenizer.defaultSeperator=/[\s\-]+/,t.tokenizer.seperator=t.tokenizer.defaultSeperator,t.tokenizer.setSeperator=function(e){null!==e&&void 0!==e&&"object"==typeof e&&(t.tokenizer.seperator=e)},t.tokenizer.resetSeperator=function(){t.tokenizer.seperator=t.tokenizer.defaultSeperator},t.tokenizer.getSeperator=function(){return t.tokenizer.seperator},t.Pipeline=function(){this._queue=[]},t.Pipeline.registeredFunctions={},t.Pipeline.registerFunction=function(e,n){n in t.Pipeline.registeredFunctions&&t.utils.warn("Overwriting existing registered function: "+n),e.label=n,t.Pipeline.registeredFunctions[n]=e},t.Pipeline.getRegisteredFunction=function(e){return e in t.Pipeline.registeredFunctions!=!0?null:t.Pipeline.registeredFunctions[e]},t.Pipeline.warnIfFunctionNotRegistered=function(e){var n=e.label&&e.label in this.registeredFunctions;n||t.utils.warn("Function is not registered with pipeline. This may cause problems when serialising the index.\n",e)},t.Pipeline.load=function(e){var n=new t.Pipeline;return e.forEach(function(e){var i=t.Pipeline.getRegisteredFunction(e);if(!i)throw new Error("Cannot load un-registered function: "+e);n.add(i)}),n},t.Pipeline.prototype.add=function(){var e=Array.prototype.slice.call(arguments);e.forEach(function(e){t.Pipeline.warnIfFunctionNotRegistered(e),this._queue.push(e)},this)},t.Pipeline.prototype.after=function(e,n){t.Pipeline.warnIfFunctionNotRegistered(n);var i=this._queue.indexOf(e);if(-1===i)throw new Error("Cannot find existingFn");this._queue.splice(i+1,0,n)},t.Pipeline.prototype.before=function(e,n){t.Pipeline.warnIfFunctionNotRegistered(n);var i=this._queue.indexOf(e);if(-1===i)throw new Error("Cannot find existingFn");this._queue.splice(i,0,n)},t.Pipeline.prototype.remove=function(e){var t=this._queue.indexOf(e);-1!==t&&this._queue.splice(t,1)},t.Pipeline.prototype.run=function(e){for(var t=[],n=e.length,i=this._queue.length,o=0;n>o;o++){for(var r=e[o],s=0;i>s&&(r=this._queue[s](r,o,e),void 0!==r&&null!==r);s++);void 0!==r&&null!==r&&t.push(r)}return t},t.Pipeline.prototype.reset=function(){this._queue=[]},t.Pipeline.prototype.get=function(){return this._queue},t.Pipeline.prototype.toJSON=function(){return this._queue.map(function(e){return t.Pipeline.warnIfFunctionNotRegistered(e),e.label})},t.Index=function(){this._fields=[],this._ref="id",this.pipeline=new t.Pipeline,this.documentStore=new t.DocumentStore,this.index={},this.eventEmitter=new t.EventEmitter,this._idfCache={},this.on("add","remove","update",function(){this._idfCache={}}.bind(this))},t.Index.prototype.on=function(){var e=Array.prototype.slice.call(arguments);return this.eventEmitter.addListener.apply(this.eventEmitter,e)},t.Index.prototype.off=function(e,t){return this.eventEmitter.removeListener(e,t)},t.Index.load=function(e){e.version!==t.version&&t.utils.warn("version mismatch: current "+t.version+" importing "+e.version);var n=new this;n._fields=e.fields,n._ref=e.ref,n.documentStore=t.DocumentStore.load(e.documentStore),n.pipeline=t.Pipeline.load(e.pipeline),n.index={};for(var i in e.index)n.index[i]=t.InvertedIndex.load(e.index[i]);return n},t.Index.prototype.addField=function(e){return this._fields.push(e),this.index[e]=new t.InvertedIndex,this},t.Index.prototype.setRef=function(e){return this._ref=e,this},t.Index.prototype.saveDocument=function(e){return this.documentStore=new t.DocumentStore(e),this},t.Index.prototype.addDoc=function(e,n){if(e){var n=void 0===n?!0:n,i=e[this._ref];this.documentStore.addDoc(i,e),this._fields.forEach(function(n){var o=this.pipeline.run(t.tokenizer(e[n]));this.documentStore.addFieldLength(i,n,o.length);var r={};o.forEach(function(e){e in r?r[e]+=1:r[e]=1},this);for(var s in r){var u=r[s];u=Math.sqrt(u),this.index[n].addToken(s,{ref:i,tf:u})}},this),n&&this.eventEmitter.emit("add",e,this)}},t.Index.prototype.removeDocByRef=function(e){if(e&&this.documentStore.isDocStored()!==!1&&this.documentStore.hasDoc(e)){var t=this.documentStore.getDoc(e);this.removeDoc(t,!1)}},t.Index.prototype.removeDoc=function(e,n){if(e){var n=void 0===n?!0:n,i=e[this._ref];this.documentStore.hasDoc(i)&&(this.documentStore.removeDoc(i),this._fields.forEach(function(n){var o=this.pipeline.run(t.tokenizer(e[n]));o.forEach(function(e){this.index[n].removeToken(e,i)},this)},this),n&&this.eventEmitter.emit("remove",e,this))}},t.Index.prototype.updateDoc=function(e,t){var t=void 0===t?!0:t;this.removeDocByRef(e[this._ref],!1),this.addDoc(e,!1),t&&this.eventEmitter.emit("update",e,this)},t.Index.prototype.idf=function(e,t){var n="@"+t+"/"+e;if(Object.prototype.hasOwnProperty.call(this._idfCache,n))return this._idfCache[n];var i=this.index[t].getDocFreq(e),o=1+Math.log(this.documentStore.length/(i+1));return this._idfCache[n]=o,o},t.Index.prototype.getFields=function(){return this._fields.slice()},t.Index.prototype.search=function(e,n){if(!e)return[];e="string"==typeof e?{any:e}:JSON.parse(JSON.stringify(e));var i=null;null!=n&&(i=JSON.stringify(n));for(var o=new t.Configuration(i,this.getFields()).get(),r={},s=Object.keys(e),u=0;u<s.length;u++){var a=s[u];r[a]=this.pipeline.run(t.tokenizer(e[a]))}var l={};for(var c in o){var d=r[c]||r.any;if(d){var f=this.fieldSearch(d,c,o),h=o[c].boost;for(var p in f)f[p]=f[p]*h;for(var p in f)p in l?l[p]+=f[p]:l[p]=f[p]}}var v,g=[];for(var p in l)v={ref:p,score:l[p]},this.documentStore.hasDoc(p)&&(v.doc=this.documentStore.getDoc(p)),g.push(v);return g.sort(function(e,t){return t.score-e.score}),g},t.Index.prototype.fieldSearch=function(e,t,n){var i=n[t].bool,o=n[t].expand,r=n[t].boost,s=null,u={};return 0!==r?(e.forEach(function(e){var n=[e];1==o&&(n=this.index[t].expandToken(e));var r={};n.forEach(function(n){var o=this.index[t].getDocs(n),a=this.idf(n,t);if(s&&"AND"==i){var l={};for(var c in s)c in o&&(l[c]=o[c]);o=l}n==e&&this.fieldSearchStats(u,n,o);for(var c in o){var d=this.index[t].getTermFrequency(n,c),f=this.documentStore.getFieldLength(c,t),h=1;0!=f&&(h=1/Math.sqrt(f));var p=1;n!=e&&(p=.15*(1-(n.length-e.length)/n.length));var v=d*a*h*p;c in r?r[c]+=v:r[c]=v}},this),s=this.mergeScores(s,r,i)},this),s=this.coordNorm(s,u,e.length)):void 0},t.Index.prototype.mergeScores=function(e,t,n){if(!e)return t;if("AND"==n){var i={};for(var o in t)o in e&&(i[o]=e[o]+t[o]);return i}for(var o in t)o in e?e[o]+=t[o]:e[o]=t[o];return e},t.Index.prototype.fieldSearchStats=function(e,t,n){for(var i in n)i in e?e[i].push(t):e[i]=[t]},t.Index.prototype.coordNorm=function(e,t,n){for(var i in e)if(i in t){var o=t[i].length;e[i]=e[i]*o/n}return e},t.Index.prototype.toJSON=function(){var e={};return this._fields.forEach(function(t){e[t]=this.index[t].toJSON()},this),{version:t.version,fields:this._fields,ref:this._ref,documentStore:this.documentStore.toJSON(),index:e,pipeline:this.pipeline.toJSON()}},t.Index.prototype.use=function(e){var t=Array.prototype.slice.call(arguments,1);t.unshift(this),e.apply(this,t)},t.DocumentStore=function(e){this._save=null===e||void 0===e?!0:e,this.docs={},this.docInfo={},this.length=0},t.DocumentStore.load=function(e){var t=new this;return t.length=e.length,t.docs=e.docs,t.docInfo=e.docInfo,t._save=e.save,t},t.DocumentStore.prototype.isDocStored=function(){return this._save},t.DocumentStore.prototype.addDoc=function(t,n){this.hasDoc(t)||this.length++,this.docs[t]=this._save===!0?e(n):null},t.DocumentStore.prototype.getDoc=function(e){return this.hasDoc(e)===!1?null:this.docs[e]},t.DocumentStore.prototype.hasDoc=function(e){return e in this.docs},t.DocumentStore.prototype.removeDoc=function(e){this.hasDoc(e)&&(delete this.docs[e],delete this.docInfo[e],this.length--)},t.DocumentStore.prototype.addFieldLength=function(e,t,n){null!==e&&void 0!==e&&0!=this.hasDoc(e)&&(this.docInfo[e]||(this.docInfo[e]={}),this.docInfo[e][t]=n)},t.DocumentStore.prototype.updateFieldLength=function(e,t,n){null!==e&&void 0!==e&&0!=this.hasDoc(e)&&this.addFieldLength(e,t,n)},t.DocumentStore.prototype.getFieldLength=function(e,t){return null===e||void 0===e?0:e in this.docs&&t in this.docInfo[e]?this.docInfo[e][t]:0},t.DocumentStore.prototype.toJSON=function(){return{docs:this.docs,docInfo:this.docInfo,length:this.length,save:this._save}},t.stemmer=function(){var e={ational:"ate",tional:"tion",enci:"ence",anci:"ance",izer:"ize",bli:"ble",alli:"al",entli:"ent",eli:"e",ousli:"ous",ization:"ize",ation:"ate",ator:"ate",alism:"al",iveness:"ive",fulness:"ful",ousness:"ous",aliti:"al",iviti:"ive",biliti:"ble",logi:"log"},t={icate:"ic",ative:"",alize:"al",iciti:"ic",ical:"ic",ful:"",ness:""},n="[^aeiou]",i="[aeiouy]",o=n+"[^aeiouy]*",r=i+"[aeiou]*",s="^("+o+")?"+r+o,u="^("+o+")?"+r+o+"("+r+")?$",a="^("+o+")?"+r+o+r+o,l="^("+o+")?"+i,c=new RegExp(s),d=new RegExp(a),f=new RegExp(u),h=new RegExp(l),p=/^(.+?)(ss|i)es$/,v=/^(.+?)([^s])s$/,g=/^(.+?)eed$/,m=/^(.+?)(ed|ing)$/,y=/.$/,S=/(at|bl|iz)$/,x=new RegExp("([^aeiouylsz])\\1$"),w=new RegExp("^"+o+i+"[^aeiouwxy]$"),I=/^(.+?[^aeiou])y$/,b=/^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/,E=/^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/,D=/^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/,F=/^(.+?)(s|t)(ion)$/,_=/^(.+?)e$/,P=/ll$/,k=new RegExp("^"+o+i+"[^aeiouwxy]$"),z=function(n){var i,o,r,s,u,a,l;if(n.length<3)return n;if(r=n.substr(0,1),"y"==r&&(n=r.toUpperCase()+n.substr(1)),s=p,u=v,s.test(n)?n=n.replace(s,"$1$2"):u.test(n)&&(n=n.replace(u,"$1$2")),s=g,u=m,s.test(n)){var z=s.exec(n);s=c,s.test(z[1])&&(s=y,n=n.replace(s,""))}else if(u.test(n)){var z=u.exec(n);i=z[1],u=h,u.test(i)&&(n=i,u=S,a=x,l=w,u.test(n)?n+="e":a.test(n)?(s=y,n=n.replace(s,"")):l.test(n)&&(n+="e"))}if(s=I,s.test(n)){var z=s.exec(n);i=z[1],n=i+"i"}if(s=b,s.test(n)){var z=s.exec(n);i=z[1],o=z[2],s=c,s.test(i)&&(n=i+e[o])}if(s=E,s.test(n)){var z=s.exec(n);i=z[1],o=z[2],s=c,s.test(i)&&(n=i+t[o])}if(s=D,u=F,s.test(n)){var z=s.exec(n);i=z[1],s=d,s.test(i)&&(n=i)}else if(u.test(n)){var z=u.exec(n);i=z[1]+z[2],u=d,u.test(i)&&(n=i)}if(s=_,s.test(n)){var z=s.exec(n);i=z[1],s=d,u=f,a=k,(s.test(i)||u.test(i)&&!a.test(i))&&(n=i)}return s=P,u=d,s.test(n)&&u.test(n)&&(s=y,n=n.replace(s,"")),"y"==r&&(n=r.toLowerCase()+n.substr(1)),n};return z}(),t.Pipeline.registerFunction(t.stemmer,"stemmer"),t.stopWordFilter=function(e){return e&&t.stopWordFilter.stopWords[e]!==!0?e:void 0},t.clearStopWords=function(){t.stopWordFilter.stopWords={}},t.addStopWords=function(e){null!=e&&Array.isArray(e)!==!1&&e.forEach(function(e){t.stopWordFilter.stopWords[e]=!0},this)},t.resetStopWords=function(){t.stopWordFilter.stopWords=t.defaultStopWords},t.defaultStopWords={"":!0,a:!0,able:!0,about:!0,across:!0,after:!0,all:!0,almost:!0,also:!0,am:!0,among:!0,an:!0,and:!0,any:!0,are:!0,as:!0,at:!0,be:!0,because:!0,been:!0,but:!0,by:!0,can:!0,cannot:!0,could:!0,dear:!0,did:!0,"do":!0,does:!0,either:!0,"else":!0,ever:!0,every:!0,"for":!0,from:!0,get:!0,got:!0,had:!0,has:!0,have:!0,he:!0,her:!0,hers:!0,him:!0,his:!0,how:!0,however:!0,i:!0,"if":!0,"in":!0,into:!0,is:!0,it:!0,its:!0,just:!0,least:!0,let:!0,like:!0,likely:!0,may:!0,me:!0,might:!0,most:!0,must:!0,my:!0,neither:!0,no:!0,nor:!0,not:!0,of:!0,off:!0,often:!0,on:!0,only:!0,or:!0,other:!0,our:!0,own:!0,rather:!0,said:!0,say:!0,says:!0,she:!0,should:!0,since:!0,so:!0,some:!0,than:!0,that:!0,the:!0,their:!0,them:!0,then:!0,there:!0,these:!0,they:!0,"this":!0,tis:!0,to:!0,too:!0,twas:!0,us:!0,wants:!0,was:!0,we:!0,were:!0,what:!0,when:!0,where:!0,which:!0,"while":!0,who:!0,whom:!0,why:!0,will:!0,"with":!0,would:!0,yet:!0,you:!0,your:!0},t.stopWordFilter.stopWords=t.defaultStopWords,t.Pipeline.registerFunction(t.stopWordFilter,"stopWordFilter"),t.trimmer=function(e){if(null===e||void 0===e)throw new Error("token should not be undefined");return e.replace(/^\W+/,"").replace(/\W+$/,"")},t.Pipeline.registerFunction(t.trimmer,"trimmer"),t.InvertedIndex=function(){this.root={docs:{},df:0}},t.InvertedIndex.load=function(e){var t=new this;return t.root=e.root,t},t.InvertedIndex.prototype.addToken=function(e,t,n){for(var n=n||this.root,i=0;i<=e.length-1;){var o=e[i];o in n||(n[o]={docs:{},df:0}),i+=1,n=n[o]}var r=t.ref;n.docs[r]?n.docs[r]={tf:t.tf}:(n.docs[r]={tf:t.tf},n.df+=1)},t.InvertedIndex.prototype.hasToken=function(e){if(!e)return!1;for(var t=this.root,n=0;n<e.length;n++){if(!t[e[n]])return!1;t=t[e[n]]}return!0},t.InvertedIndex.prototype.getNode=function(e){if(!e)return null;for(var t=this.root,n=0;n<e.length;n++){if(!t[e[n]])return null;t=t[e[n]]}return t},t.InvertedIndex.prototype.getDocs=function(e){var t=this.getNode(e);return null==t?{}:t.docs},t.InvertedIndex.prototype.getTermFrequency=function(e,t){var n=this.getNode(e);return null==n?0:t in n.docs?n.docs[t].tf:0},t.InvertedIndex.prototype.getDocFreq=function(e){var t=this.getNode(e);return null==t?0:t.df},t.InvertedIndex.prototype.removeToken=function(e,t){if(e){var n=this.getNode(e);null!=n&&t in n.docs&&(delete n.docs[t],n.df-=1)}},t.InvertedIndex.prototype.expandToken=function(e,t,n){if(null==e||""==e)return[];var t=t||[];if(void 0==n&&(n=this.getNode(e),null==n))return t;n.df>0&&t.push(e);for(var i in n)"docs"!==i&&"df"!==i&&this.expandToken(e+i,t,n[i]);return t},t.InvertedIndex.prototype.toJSON=function(){return{root:this.root}},t.Configuration=function(e,n){var e=e||"";if(void 0==n||null==n)throw new Error("fields should not be null");this.config={};var i;try{i=JSON.parse(e),this.buildUserConfig(i,n)}catch(o){t.utils.warn("user configuration parse failed, will use default configuration"),this.buildDefaultConfig(n)}},t.Configuration.prototype.buildDefaultConfig=function(e){this.reset(),e.forEach(function(e){this.config[e]={boost:1,bool:"OR",expand:!1}},this)},t.Configuration.prototype.buildUserConfig=function(e,n){var i="OR",o=!1;if(this.reset(),"bool"in e&&(i=e.bool||i),"expand"in e&&(o=e.expand||o),"fields"in e)for(var r in e.fields)if(n.indexOf(r)>-1){var s=e.fields[r],u=o;void 0!=s.expand&&(u=s.expand),this.config[r]={boost:s.boost||0===s.boost?s.boost:1,bool:s.bool||i,expand:u}}else t.utils.warn("field name in user configuration not found in index instance fields");else this.addAllFields2UserConfig(i,o,n)},t.Configuration.prototype.addAllFields2UserConfig=function(e,t,n){n.forEach(function(n){this.config[n]={boost:1,bool:e,expand:t}},this)},t.Configuration.prototype.get=function(){return 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/** pdoc search index */const docs = {"version": "0.9.5", "fields": ["qualname", "fullname", "annotation", "default_value", "signature", "bases", "doc"], "ref": "fullname", "documentStore": {"docs": {"PyPartMC": {"fullname": "PyPartMC", "modulename": "PyPartMC", "kind": "module", "doc": "<p><img src=\"https://raw.githubusercontent.com/wiki/open-atmos/PyPartMC/logo.svg\" alt=\"logo\" /></p>\n\n<h1 id=\"pypartmc\">PyPartMC</h1>\n\n<p>PyPartMC is a Python interface to <a href=\"https://lagrange.mechse.illinois.edu/partmc/\">PartMC</a>, \n a particle-resolved Monte-Carlo code for atmospheric aerosol simulation.\nDevelopment of PyPartMC has been intended to remove limitations to the use of Fortran-implemented PartMC.\nPyPartMC facilitates the dissemination of computational research results by streamlining independent execution \n of PartMC simulations (also during peer-review processes).\nAdditionally, the ability to easily package examples, simple simulations, and results in a web-based notebook \n allows PyPartMC to support the efforts of many members of the scientific community, including researchers,\n instructors, and students, with nominal software and hardware requirements.</p>\n\n<p>Documentation of PyPartMC is hosted at <a href=\"https://open-atmos.github.io/PyPartMC\">https://open-atmos.github.io/PyPartMC</a>.\nPyPartMC is implemented in C++ and it also constitutes a C++ API to the PartMC Fortran internals.\nThe Python API can facilitate using PartMC from other environments - see, e.g., Julia and Matlab examples below.</p>\n\n<p>For an outline of the project, rationale, architecture, and features, refer to: <a href=\"https://doi.org/10.1016/j.softx.2023.101613\">D'Aquino et al., 2024 (SoftwareX)</a> (please cite if PyPartMC is used in your research).\nFor a list of talks and other relevant resources, please see <a href=\"https://github.com/open-atmos/PyPartMC/wiki/\">project Wiki</a>.\nIf interested in contributing to PyPartMC, please have a look a the <a href=\"https://github.com/open-atmos/PyPartMC/tree/main/CONTRIBUTING.md\">notes for developers</a>.</p>\n\n<p><a href=\"https://asr.science.energy.gov/\"><img src=\"https://img.shields.io/static/v1?label=US%20DOE%20Funding%20by&color=267c32&message=ASR&logoWidth=25&logo=image/png;base64,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\" alt=\"US Funding\" /></a> <a href=\"https://www.ncn.gov.pl/?language=en\"><img src=\"https://img.shields.io/static/v1?label=PL%20Funding%20by&color=d21132&message=NCN&logoWidth=25&logo=image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAANCAYAAACpUE5eAAAABmJLR0QA/wD/AP+gvaeTAAAAKUlEQVQ4jWP8////fwYqAiZqGjZqIHUAy4dJS6lqIOMdEZvRZDPcDQQAb3cIaY1Sbi4AAAAASUVORK5CYII=\" alt=\"PL Funding\" /></a></p>\n\n<p><a href=\"https://www.gnu.org/licenses/gpl-3.0.html\"><img src=\"https://img.shields.io/badge/License-GPL%20v3-blue.svg\" alt=\"License: GPL v3\" /></a>\n<a href=\"https://atmos.illinois.edu/\"><img src=\"https://img.shields.io/static/v1?label=Copyright&color=249fe2&message=UIUC&\" alt=\"Copyright\" /></a>\n<a href=\"https://github.com/open-atmos/PyPartMC/actions/workflows/tests+pypi.yml\"><img src=\"https://github.com/open-atmos/PyPartMC/actions/workflows/tests+pypi.yml/badge.svg\" alt=\"tests+pypi\" /></a>\n<a href=\"https://open-atmos.github.io/PyPartMC/\"><img src=\"https://shields.mitmproxy.org/badge/docs-pdoc.dev-brightgreen.svg\" alt=\"API docs\" /></a>\n<a href=\"https://codecov.io/gh/open-atmos/PyPartMC\"><img src=\"https://codecov.io/gh/open-atmos/PyPartMC/graph/badge.svg?token=27IK9ZIQXE\" alt=\"codecov\" /></a>\n<a href=\"https://doi.org/10.5281/zenodo.7662635\"><img src=\"https://zenodo.org/badge/DOI/10.5281/zenodo.7662635.svg\" alt=\"DOI\" /></a>\n<a href=\"https://pypi.org/p/PyPartMC\"><img src=\"https://badge.fury.io/py/PyPartMC.svg\" alt=\"PyPI version\" /></a>\n<a href=\"https://www.repostatus.org/#active\"><img src=\"https://www.repostatus.org/badges/latest/active.svg\" alt=\"Project Status: Active \u2013 The project has reached a stable, usable state and is being actively developed.\" /></a>\n<a href=\"https://github.com/pyOpenSci/software-review/issues/179\"><img src=\"https://pyopensci.org/badges/peer-reviewed.svg\" alt=\"pyOpenSci Peer-Reviewed\" /></a></p>\n\n<p><a href=\"https://www.python.org/\"><img src=\"https://img.shields.io/static/v1?label=Python&logo=Python&color=3776AB&message=3\" alt=\"Python 3\" /></a>\n<a href=\"https://en.wikipedia.org/wiki/Linux\"><img src=\"https://img.shields.io/static/v1?label=Linux&logo=Linux&color=yellow&message=%E2%9C%93\" alt=\"Linux OK\" /></a>\n<a href=\"https://en.wikipedia.org/wiki/macOS\"><img src=\"https://img.shields.io/static/v1?label=macOS&logo=Apple&color=silver&message=%E2%9C%93\" alt=\"macOS OK\" /></a>\n<a href=\"https://en.wikipedia.org/wiki/Windows\"><img src=\"https://img.shields.io/static/v1?label=Windows&logo=Windows&color=white&message=%E2%9C%93\" alt=\"Windows OK\" /></a>\n<a href=\"https://jupyter.org/\"><img src=\"https://img.shields.io/static/v1?label=Jupyter&logo=Jupyter&color=f37626&message=%E2%9C%93\" alt=\"Jupyter\" /></a></p>\n\n<h2 id=\"installation\">Installation</h2>\n\n<h3 id=\"using-the-command-line-pip-tool-also-applies-to-conda-environments\">Using the command-line <code>pip</code> tool (also applies to conda environments)</h3>\n\n<div class=\"pdoc-code codehilite\">\n<pre><span></span><code>pip<span class=\"w\"> </span>install<span class=\"w\"> </span>PyPartMC\n</code></pre>\n</div>\n\n<p>Note that, depending on the environment (OS, hardware, Python version), the pip-install invocation \n may either trigger a download of a pre-compiled binary, or trigger compilation of PyPartMC.\nIn the latter case, a Fortran compiler and some development tools includiong CMake, m4 and perl\n are required (while all non-Python dependencies are included in the PyPartMC source archive).\nIn both cases, all Python dependencies will be resolved by pip.</p>\n\n<h3 id=\"in-a-jupyter-notebook-cell-also-on-colab-or-jupyter-hub-instances\">In a Jupyter notebook cell (also on Colab or jupyter-hub instances)</h3>\n\n<div class=\"pdoc-code codehilite\">\n<pre><span></span><code><span class=\"err\">!</span> <span class=\"n\">pip</span> <span class=\"n\">install</span> <span class=\"n\">PyPartMC</span>\n<span class=\"kn\">import</span><span class=\"w\"> </span><span class=\"nn\">PyPartMC</span>\n</code></pre>\n</div>\n\n<h4 id=\"jupyter-notebooks-with-examples\">Jupyter notebooks with examples</h4>\n\n<p>Note: clicking the badges below redirects to cloud-computing platforms. The mybinder.org links allow anonymous execution, Google Colab requires logging in with a Google account, ARM JupyerHub requires logging in with an ARM account (and directing Jupyter to a particular notebook within the <code>examples</code> folder).</p>\n\n<p>The example notebooks feature additional dependencies that can be installed with:</p>\n\n<div class=\"pdoc-code codehilite\">\n<pre><span></span><code>pip<span class=\"w\"> </span>install<span class=\"w\"> </span>PyPartMC<span class=\"o\">[</span>examples<span class=\"o\">]</span>\n</code></pre>\n</div>\n\n<ul>\n<li>Urban plume scenario demo (as in <a href=\"https://github.com/compdyn/partmc/tree/master/scenarios/1_urban_plume\">PartMC</a>):<br />\n<a href=\"https://github.com/open-atmos/PyPartMC/blob/main/examples/particle_simulation.ipynb\"><img src=\"https://img.shields.io/static/v1?label=render%20on&logo=github&color=87ce3e&message=GitHub\" alt=\"View notebook\" /></a> \n<a href=\"https://colab.research.google.com/github/open-atmos/PyPartMC/blob/main/examples/particle_simulation.ipynb\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\" /></a> \n<a href=\"https://mybinder.org/v2/gh/open-atmos/PyPartMC.git/main?urlpath=lab/tree/examples/particle_simulation.ipynb\"><img src=\"https://mybinder.org/badge_logo.svg\" alt=\"Binder\" /></a>\n<a href=\"https://jupyterhub.arm.gov/hub/user-redirect/git-pull?repo=https%3A//github.com/open-atmos/PyPartMC&branch=main&urlPath=\"><img src=\"https://img.shields.io/static/v1?label=launch%20in&logo=jupyter&color=lightblue&message=ARM+JupyterHub\" alt=\"ARM JupyterHub\" /></a> </li>\n<li>Dry-Wet Particle Size Equilibration with PartMC and PySDM:<br />\n<a href=\"https://github.com/open-atmos/PyPartMC/blob/main/examples/lognorm_ex.ipynb\"><img src=\"https://img.shields.io/static/v1?label=render%20on&logo=github&color=87ce3e&message=GitHub\" alt=\"View notebook\" /></a> \n<a href=\"https://colab.research.google.com/github/open-atmos/PyPartMC/blob/main/examples/lognorm_ex.ipynb\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\" /></a>\n<a href=\"https://mybinder.org/v2/gh/open-atmos/PyPartMC.git/main?urlpath=lab/tree/examples/lognorm_ex.ipynb\"><img src=\"https://mybinder.org/badge_logo.svg\" alt=\"Binder\" /></a>\n<a href=\"https://jupyterhub.arm.gov/hub/user-redirect/git-pull?repo=https%3A//github.com/open-atmos/PyPartMC&branch=main&urlPath=\"><img src=\"https://img.shields.io/static/v1?label=launch%20in&logo=jupyter&color=lightblue&message=ARM+JupyterHub\" alt=\"ARM JupyterHub\" /></a>\n<a href=\"https://mybinder.org/v2/gh/open-atmos/PyPartMC/main?urlpath=voila%2Frender%2Fexamples%2Flognorm_ex.ipynb\"><img src=\"https://img.shields.io/static/v1?label=Voil%C3%A0&logo=jupyter&color=teal&message=web+app\" alt=\"Voila\" /></a></li>\n<li>Simulation output processing example (loading from netCDF files using PyPartMC):<br />\n<a href=\"https://github.com/open-atmos/PyPartMC/blob/main/examples/process_simulation_output.ipynb\"><img src=\"https://img.shields.io/static/v1?label=render%20on&logo=github&color=87ce3e&message=GitHub\" alt=\"View notebook\" /></a>\n<a href=\"https://colab.research.google.com/github/open-atmos/PyPartMC/blob/main/examples/process_simulation_output.ipynb\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\" /></a>\n<a href=\"https://mybinder.org/v2/gh/open-atmos/PyPartMC.git/main?urlpath=lab/tree/examples/process_simulation_output.ipynb\"><img src=\"https://mybinder.org/badge_logo.svg\" alt=\"Binder\" /></a>\n<a href=\"https://jupyterhub.arm.gov/hub/user-redirect/git-pull?repo=https%3A//github.com/open-atmos/PyPartMC&branch=main&urlPath=\"><img src=\"https://img.shields.io/static/v1?label=launch%20in&logo=jupyter&color=lightblue&message=ARM+JupyterHub\" alt=\"ARM JupyterHub\" /></a></li>\n<li>Optical properties calculation using external Python package (<a href=\"https://pymiescatt.readthedocs.io/en/latest/\">PyMieScatt</a>):<br />\n<a href=\"https://github.com/open-atmos/PyPartMC/blob/main/examples/mie_optical.ipynb\"><img src=\"https://img.shields.io/static/v1?label=render%20on&logo=github&color=87ce3e&message=GitHub\" alt=\"View notebook\" /></a>\n<a href=\"https://colab.research.google.com/github/open-atmos/PyPartMC/blob/main/examples/mie_optical.ipynb\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\" /></a>\n<a href=\"https://mybinder.org/v2/gh/open-atmos/PyPartMC.git/main?urlpath=lab/tree/examples/mie_optical.ipynb\"><img src=\"https://mybinder.org/badge_logo.svg\" alt=\"Binder\" /></a>\n<a href=\"https://jupyterhub.arm.gov/hub/user-redirect/git-pull?repo=https%3A//github.com/open-atmos/PyPartMC&branch=main&urlPath=\"><img src=\"https://img.shields.io/static/v1?label=launch%20in&logo=jupyter&color=lightblue&message=ARM+JupyterHub\" alt=\"ARM JupyterHub\" /></a></li>\n<li>Cloud parcel example featuring supersaturation-evolution-coupled CCN activation and drop growth:<br />\n<a href=\"https://github.com/open-atmos/PyPartMC/blob/main/examples/cloud_parcel.ipynb\"><img src=\"https://img.shields.io/static/v1?label=render%20on&logo=github&color=87ce3e&message=GitHub\" alt=\"View notebook\" /></a>\n<a href=\"https://colab.research.google.com/github/open-atmos/PyPartMC/blob/main/examples/cloud_parcel.ipynb\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\" /></a>\n<a href=\"https://mybinder.org/v2/gh/open-atmos/PyPartMC.git/main?urlpath=lab/tree/examples/cloud_parcel.ipynb\"><img src=\"https://mybinder.org/badge_logo.svg\" alt=\"Binder\" /></a>\n<a href=\"https://jupyterhub.arm.gov/hub/user-redirect/git-pull?repo=https%3A//github.com/open-atmos/PyPartMC&branch=main&urlPath=\"><img src=\"https://img.shields.io/static/v1?label=launch%20in&logo=jupyter&color=lightblue&message=ARM+JupyterHub\" alt=\"ARM JupyterHub\" /></a></li>\n<li>Coagulation Model Intercomparison with PySDM, Droplets.jl:<br />\n<a href=\"https://github.com/open-atmos//PyPartMC/blob/main/examples/additive_coag_comparison.ipynb\"><img src=\"https://img.shields.io/static/v1?label=render%20on&logo=github&color=87ce3e&message=GitHub\" alt=\"View notebook\" /></a> \n<a href=\"https://colab.research.google.com/github/open-atmos/PyPartMC/blob/main/examples/additive_coag_comparison.ipynb\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\" /></a> \n<a href=\"https://mybinder.org/v2/gh/open-atmos/PyPartMC.git/main?urlpath=lab/tree/examples/additive_coag_comparison.ipynb\"><img src=\"https://mybinder.org/badge_logo.svg\" alt=\"Binder\" /></a>\n<a href=\"https://jupyterhub.arm.gov/hub/user-redirect/git-pull?repo=https%3A//github.com/open-atmos/PyPartMC&branch=main&urlPath=\"><img src=\"https://img.shields.io/static/v1?label=launch%20in&logo=jupyter&color=lightblue&message=ARM+JupyterHub\" alt=\"ARM JupyterHub\" /></a> </li>\n</ul>\n\n<h2 id=\"features\">Features</h2>\n\n<ul>\n<li>works on Linux, macOS and Windows (compatibility assured with <a href=\"https://github.com/open-atmos/PyPartMC/blob/main/.github/workflows/tests.yml\">CI builds</a>)</li>\n<li>hassle-free installation using <code>pip</code> (prior PartMC installation <strong>not needed</strong>)</li>\n<li>works out of the box on <a href=\"https://mybinder.org/\">mybinder.org</a>, <a href=\"colab.research.google.com/\">Google Colab</a> and alike</li>\n<li>ships with <a href=\"https://github.com/open-atmos/PyPartMC/tree/main/examples\">a set of examples</a> maintained in a form of Jupyter notebooks</li>\n<li>Pythonic API (but retaining PartMC jargon) incl. Python GC deallocation of Fortran objects</li>\n<li>specification of parameters using native Python datatypes (lists, dicts) in place of PartMC spec files</li>\n<li>code snippets in README depicting how to use PyPartMC from Julia and Matlab (also executed on CI)</li>\n<li>auto-generated <a href=\"https://open-atmos.github.io/PyPartMC/\">API docs on the web</a></li>\n<li>support for [de]serialization of selected wrapped structures using JSON </li>\n<li>based on <a href=\"https://github.com/open-atmos/PyPartMC/tree/main/gitmodules\">unmodified PartMC code</a></li>\n<li>does not use or require shell or any pre-installed libraries</li>\n<li>aiming at 100% <a href=\"https://github.com/open-atmos/PyPartMC/tree/main/tests\">unit test coverage</a></li>\n</ul>\n\n<h2 id=\"usage-examples\">Usage examples</h2>\n\n<p>The listings below depict how the identical task of randomly sampling particles from an aerosol size distribution in PartMC can be\ndone in different programming languages.</p>\n\n<p>For a Fortran equivalent of the Python, Julia and Matlab programs below, see the <a href=\"https://github.com/open-atmos/PyPartMC/tree/main/readme_fortran\"><code>readme_fortran</code> folder</a>.</p>\n\n<h4 id=\"python\">Python</h4>\n\n<div class=\"pdoc-code codehilite\">\n<pre><span></span><code><span class=\"kn\">import</span><span class=\"w\"> </span><span class=\"nn\">numpy</span><span class=\"w\"> </span><span class=\"k\">as</span><span class=\"w\"> </span><span class=\"nn\">np</span>\n\n<span class=\"kn\">import</span><span class=\"w\"> </span><span class=\"nn\">PyPartMC</span><span class=\"w\"> </span><span class=\"k\">as</span><span class=\"w\"> </span><span class=\"nn\">ppmc</span>\n<span class=\"kn\">from</span><span class=\"w\"> </span><span class=\"nn\">PyPartMC</span><span class=\"w\"> </span><span class=\"kn\">import</span> <span class=\"n\">si</span>\n\n<span class=\"n\">aero_data</span> <span class=\"o\">=</span> <span class=\"n\">ppmc</span><span class=\"o\">.</span><span class=\"n\">AeroData</span><span class=\"p\">((</span>\n <span class=\"c1\"># [density, ions in solution, molecular weight, kappa]</span>\n <span class=\"p\">{</span><span class=\"s2\">"OC"</span><span class=\"p\">:</span> <span class=\"p\">[</span><span class=\"mi\">1000</span> <span class=\"o\">*</span><span class=\"n\">si</span><span class=\"o\">.</span><span class=\"n\">kg</span><span class=\"o\">/</span><span class=\"n\">si</span><span class=\"o\">.</span><span class=\"n\">m</span><span class=\"o\">**</span><span class=\"mi\">3</span><span class=\"p\">,</span> <span class=\"mi\">0</span><span class=\"p\">,</span> <span class=\"mf\">1e-3</span> <span class=\"o\">*</span><span class=\"n\">si</span><span class=\"o\">.</span><span class=\"n\">kg</span><span class=\"o\">/</span><span class=\"n\">si</span><span class=\"o\">.</span><span class=\"n\">mol</span><span class=\"p\">,</span> <span class=\"mf\">0.001</span><span class=\"p\">]},</span>\n <span class=\"p\">{</span><span class=\"s2\">"BC"</span><span class=\"p\">:</span> <span class=\"p\">[</span><span class=\"mi\">1800</span> <span class=\"o\">*</span><span class=\"n\">si</span><span class=\"o\">.</span><span class=\"n\">kg</span><span class=\"o\">/</span><span class=\"n\">si</span><span class=\"o\">.</span><span class=\"n\">m</span><span class=\"o\">**</span><span class=\"mi\">3</span><span class=\"p\">,</span> <span class=\"mi\">0</span><span class=\"p\">,</span> <span class=\"mf\">1e-3</span> <span class=\"o\">*</span><span class=\"n\">si</span><span class=\"o\">.</span><span class=\"n\">kg</span><span class=\"o\">/</span><span class=\"n\">si</span><span class=\"o\">.</span><span class=\"n\">mol</span><span class=\"p\">,</span> <span class=\"mi\">0</span><span class=\"p\">]},</span>\n<span class=\"p\">))</span>\n\n<span class=\"n\">aero_dist</span> <span class=\"o\">=</span> <span class=\"n\">ppmc</span><span class=\"o\">.</span><span class=\"n\">AeroDist</span><span class=\"p\">(</span>\n <span class=\"n\">aero_data</span><span class=\"p\">,</span>\n <span class=\"p\">[{</span>\n <span class=\"s2\">"cooking"</span><span class=\"p\">:</span> <span class=\"p\">{</span>\n <span class=\"s2\">"mass_frac"</span><span class=\"p\">:</span> <span class=\"p\">[{</span><span class=\"s2\">"OC"</span><span class=\"p\">:</span> <span class=\"p\">[</span><span class=\"mi\">1</span><span class=\"p\">]}],</span>\n <span class=\"s2\">"diam_type"</span><span class=\"p\">:</span> <span class=\"s2\">"geometric"</span><span class=\"p\">,</span>\n <span class=\"s2\">"mode_type"</span><span class=\"p\">:</span> <span class=\"s2\">"log_normal"</span><span class=\"p\">,</span>\n <span class=\"s2\">"num_conc"</span><span class=\"p\">:</span> <span class=\"mi\">3200</span> <span class=\"o\">/</span> <span class=\"n\">si</span><span class=\"o\">.</span><span class=\"n\">cm</span><span class=\"o\">**</span><span class=\"mi\">3</span><span class=\"p\">,</span>\n <span class=\"s2\">"geom_mean_diam"</span><span class=\"p\">:</span> <span class=\"mf\">8.64</span> <span class=\"o\">*</span> <span class=\"n\">si</span><span class=\"o\">.</span><span class=\"n\">nm</span><span class=\"p\">,</span>\n <span class=\"s2\">"log10_geom_std_dev"</span><span class=\"p\">:</span> <span class=\"mf\">0.28</span><span class=\"p\">,</span>\n <span class=\"p\">},</span>\n <span class=\"s2\">"diesel"</span><span class=\"p\">:</span> <span class=\"p\">{</span>\n <span class=\"s2\">"mass_frac"</span><span class=\"p\">:</span> <span class=\"p\">[{</span><span class=\"s2\">"OC"</span><span class=\"p\">:</span> <span class=\"p\">[</span><span class=\"mf\">0.3</span><span class=\"p\">]},</span> <span class=\"p\">{</span><span class=\"s2\">"BC"</span><span class=\"p\">:</span> <span class=\"p\">[</span><span class=\"mf\">0.7</span><span class=\"p\">]}],</span>\n <span class=\"s2\">"diam_type"</span><span class=\"p\">:</span> <span class=\"s2\">"geometric"</span><span class=\"p\">,</span>\n <span class=\"s2\">"mode_type"</span><span class=\"p\">:</span> <span class=\"s2\">"log_normal"</span><span class=\"p\">,</span>\n <span class=\"s2\">"num_conc"</span><span class=\"p\">:</span> <span class=\"mi\">2900</span> <span class=\"o\">/</span> <span class=\"n\">si</span><span class=\"o\">.</span><span class=\"n\">cm</span><span class=\"o\">**</span><span class=\"mi\">3</span><span class=\"p\">,</span>\n <span class=\"s2\">"geom_mean_diam"</span><span class=\"p\">:</span> <span class=\"mi\">50</span> <span class=\"o\">*</span> <span class=\"n\">si</span><span class=\"o\">.</span><span class=\"n\">nm</span><span class=\"p\">,</span>\n <span class=\"s2\">"log10_geom_std_dev"</span><span class=\"p\">:</span> <span class=\"mf\">0.24</span><span class=\"p\">,</span>\n <span class=\"p\">}</span>\n <span class=\"p\">}],</span>\n<span class=\"p\">)</span>\n\n<span class=\"n\">n_part</span> <span class=\"o\">=</span> <span class=\"mi\">100</span>\n<span class=\"n\">aero_state</span> <span class=\"o\">=</span> <span class=\"n\">ppmc</span><span class=\"o\">.</span><span class=\"n\">AeroState</span><span class=\"p\">(</span><span class=\"n\">aero_data</span><span class=\"p\">,</span> <span class=\"n\">n_part</span><span class=\"p\">,</span> <span class=\"s2\">"nummass_source"</span><span class=\"p\">)</span>\n<span class=\"n\">aero_state</span><span class=\"o\">.</span><span class=\"n\">dist_sample</span><span class=\"p\">(</span><span class=\"n\">aero_dist</span><span class=\"p\">)</span>\n<span class=\"nb\">print</span><span class=\"p\">(</span><span class=\"n\">np</span><span class=\"o\">.</span><span class=\"n\">dot</span><span class=\"p\">(</span><span class=\"n\">aero_state</span><span class=\"o\">.</span><span class=\"n\">masses</span><span class=\"p\">(),</span> <span class=\"n\">aero_state</span><span class=\"o\">.</span><span class=\"n\">num_concs</span><span class=\"p\">),</span> <span class=\"s2\">"# kg/m3"</span><span class=\"p\">)</span>\n</code></pre>\n</div>\n\n<h4 id=\"julia-using-pycalljlhttpsgithubcomjuliapypycalljl\">Julia (using <a href=\"https://github.com/JuliaPy/PyCall.jl\">PyCall.jl</a>)</h4>\n\n<div class=\"pdoc-code codehilite\">\n<pre><span></span><code><span class=\"k\">using</span><span class=\"w\"> </span><span class=\"n\">Pkg</span>\n<span class=\"n\">Pkg</span><span class=\"o\">.</span><span class=\"n\">add</span><span class=\"p\">(</span><span class=\"s\">"PyCall"</span><span class=\"p\">)</span>\n\n<span class=\"k\">using</span><span class=\"w\"> </span><span class=\"n\">PyCall</span>\n<span class=\"n\">ppmc</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">pyimport</span><span class=\"p\">(</span><span class=\"s\">"PyPartMC"</span><span class=\"p\">)</span>\n<span class=\"n\">si</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">ppmc</span><span class=\"p\">[</span><span class=\"s\">"si"</span><span class=\"p\">]</span>\n\n<span class=\"n\">aero_data</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">ppmc</span><span class=\"o\">.</span><span class=\"n\">AeroData</span><span class=\"p\">((</span>\n<span class=\"w\"> </span><span class=\"c\"># (density, ions in solution, molecular weight, kappa)</span>\n<span class=\"w\"> </span><span class=\"kt\">Dict</span><span class=\"p\">(</span><span class=\"s\">"OC"</span><span class=\"o\">=></span><span class=\"p\">(</span><span class=\"mi\">1000</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">si</span><span class=\"o\">.</span><span class=\"n\">kg</span><span class=\"o\">/</span><span class=\"n\">si</span><span class=\"o\">.</span><span class=\"n\">m</span><span class=\"o\">^</span><span class=\"mi\">3</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"mi\">0</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"mf\">1e-3</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">si</span><span class=\"o\">.</span><span class=\"n\">kg</span><span class=\"o\">/</span><span class=\"n\">si</span><span class=\"o\">.</span><span class=\"n\">mol</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"mf\">0.001</span><span class=\"p\">)),</span>\n<span class=\"w\"> </span><span class=\"kt\">Dict</span><span class=\"p\">(</span><span class=\"s\">"BC"</span><span class=\"o\">=></span><span class=\"p\">(</span><span class=\"mi\">1800</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">si</span><span class=\"o\">.</span><span class=\"n\">kg</span><span class=\"o\">/</span><span class=\"n\">si</span><span class=\"o\">.</span><span class=\"n\">m</span><span class=\"o\">^</span><span class=\"mi\">3</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"mi\">0</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"mf\">1e-3</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">si</span><span class=\"o\">.</span><span class=\"n\">kg</span><span class=\"o\">/</span><span class=\"n\">si</span><span class=\"o\">.</span><span class=\"n\">mol</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"mi\">0</span><span class=\"p\">))</span>\n<span class=\"p\">))</span>\n\n<span class=\"n\">aero_dist</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">ppmc</span><span class=\"o\">.</span><span class=\"n\">AeroDist</span><span class=\"p\">(</span><span class=\"n\">aero_data</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"p\">(</span>\n<span class=\"w\"> </span><span class=\"kt\">Dict</span><span class=\"p\">(</span><span class=\"w\"> </span>\n<span class=\"w\"> </span><span class=\"s\">"cooking"</span><span class=\"w\"> </span><span class=\"o\">=></span><span class=\"w\"> </span><span class=\"kt\">Dict</span><span class=\"p\">(</span>\n<span class=\"w\"> </span><span class=\"s\">"mass_frac"</span><span class=\"w\"> </span><span class=\"o\">=></span><span class=\"w\"> </span><span class=\"p\">(</span><span class=\"kt\">Dict</span><span class=\"p\">(</span><span class=\"s\">"OC"</span><span class=\"w\"> </span><span class=\"o\">=></span><span class=\"w\"> </span><span class=\"p\">(</span><span class=\"mi\">1</span><span class=\"p\">,)),),</span>\n<span class=\"w\"> </span><span class=\"s\">"diam_type"</span><span class=\"w\"> </span><span class=\"o\">=></span><span class=\"w\"> </span><span class=\"s\">"geometric"</span><span class=\"p\">,</span>\n<span class=\"w\"> </span><span class=\"s\">"mode_type"</span><span class=\"w\"> </span><span class=\"o\">=></span><span class=\"w\"> </span><span class=\"s\">"log_normal"</span><span class=\"p\">,</span>\n<span class=\"w\"> </span><span class=\"s\">"num_conc"</span><span class=\"w\"> </span><span class=\"o\">=></span><span class=\"w\"> </span><span class=\"mi\">3200</span><span class=\"w\"> </span><span class=\"o\">/</span><span class=\"w\"> </span><span class=\"n\">si</span><span class=\"o\">.</span><span class=\"n\">cm</span><span class=\"o\">^</span><span class=\"mi\">3</span><span class=\"p\">,</span>\n<span class=\"w\"> </span><span class=\"s\">"geom_mean_diam"</span><span class=\"w\"> </span><span class=\"o\">=></span><span class=\"w\"> </span><span class=\"mf\">8.64</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">si</span><span class=\"o\">.</span><span class=\"n\">nm</span><span class=\"p\">,</span>\n<span class=\"w\"> </span><span class=\"s\">"log10_geom_std_dev"</span><span class=\"w\"> </span><span class=\"o\">=></span><span class=\"w\"> </span><span class=\"mf\">.28</span><span class=\"p\">,</span>\n<span class=\"w\"> </span><span class=\"p\">),</span>\n<span class=\"w\"> </span><span class=\"s\">"diesel"</span><span class=\"w\"> </span><span class=\"o\">=></span><span class=\"w\"> </span><span class=\"kt\">Dict</span><span class=\"p\">(</span>\n<span class=\"w\"> </span><span class=\"s\">"mass_frac"</span><span class=\"w\"> </span><span class=\"o\">=></span><span class=\"w\"> </span><span class=\"p\">(</span><span class=\"kt\">Dict</span><span class=\"p\">(</span><span class=\"s\">"OC"</span><span class=\"w\"> </span><span class=\"o\">=></span><span class=\"w\"> </span><span class=\"p\">(</span><span class=\"mf\">.3</span><span class=\"p\">,)),</span><span class=\"w\"> </span><span class=\"kt\">Dict</span><span class=\"p\">(</span><span class=\"s\">"BC"</span><span class=\"w\"> </span><span class=\"o\">=></span><span class=\"w\"> </span><span class=\"p\">(</span><span class=\"mf\">.7</span><span class=\"p\">,))),</span>\n<span class=\"w\"> </span><span class=\"s\">"diam_type"</span><span class=\"w\"> </span><span class=\"o\">=></span><span class=\"w\"> </span><span class=\"s\">"geometric"</span><span class=\"p\">,</span>\n<span class=\"w\"> </span><span class=\"s\">"mode_type"</span><span class=\"w\"> </span><span class=\"o\">=></span><span class=\"w\"> </span><span class=\"s\">"log_normal"</span><span class=\"p\">,</span>\n<span class=\"w\"> </span><span class=\"s\">"num_conc"</span><span class=\"w\"> </span><span class=\"o\">=></span><span class=\"w\"> </span><span class=\"mi\">2900</span><span class=\"w\"> </span><span class=\"o\">/</span><span class=\"w\"> </span><span class=\"n\">si</span><span class=\"o\">.</span><span class=\"n\">cm</span><span class=\"o\">^</span><span class=\"mi\">3</span><span class=\"p\">,</span>\n<span class=\"w\"> </span><span class=\"s\">"geom_mean_diam"</span><span class=\"w\"> </span><span class=\"o\">=></span><span class=\"w\"> </span><span class=\"mi\">50</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">si</span><span class=\"o\">.</span><span class=\"n\">nm</span><span class=\"p\">,</span>\n<span class=\"w\"> </span><span class=\"s\">"log10_geom_std_dev"</span><span class=\"w\"> </span><span class=\"o\">=></span><span class=\"w\"> </span><span class=\"mf\">.24</span><span class=\"p\">,</span>\n<span class=\"w\"> </span><span class=\"p\">)</span>\n<span class=\"w\"> </span><span class=\"p\">),</span>\n<span class=\"p\">))</span>\n\n<span class=\"n\">n_part</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"mi\">100</span>\n<span class=\"n\">aero_state</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">ppmc</span><span class=\"o\">.</span><span class=\"n\">AeroState</span><span class=\"p\">(</span><span class=\"n\">aero_data</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"n\">n_part</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"s\">"nummass_source"</span><span class=\"p\">)</span>\n<span class=\"n\">aero_state</span><span class=\"o\">.</span><span class=\"n\">dist_sample</span><span class=\"p\">(</span><span class=\"n\">aero_dist</span><span class=\"p\">)</span>\n<span class=\"n\">print</span><span class=\"p\">(</span><span class=\"n\">aero_state</span><span class=\"o\">.</span><span class=\"n\">masses</span><span class=\"p\">()</span><span class=\"o\">'</span><span class=\"n\">aero_state</span><span class=\"o\">.</span><span class=\"n\">num_concs</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"s\">"# kg/m3"</span><span class=\"p\">)</span>\n</code></pre>\n</div>\n\n<h4 id=\"matlab-using-matlabs-built-in-python-interfacehttpswwwmathworkscomhelpmatlabpython-languagehtml\">Matlab (using <a href=\"https://www.mathworks.com/help/matlab/python-language.html\">Matlab's built-in Python interface</a>)</h4>\n\n<p>notes (see the <a href=\"https://github.com/open-atmos/PyPartMC/blob/main/.github/workflows/readme_listings.yml\">PyPartMC Matlab CI workflow</a> for an example on how to achieve it on Ubuntu 20):</p>\n\n<ul>\n<li>Matlab ships with convenience copies of C, C++ and Fortran runtime libraries which are <code>dlopened()</code> by default; one way to make PyPartMC OK with it is to [pip-]install by compiling from source using the very same version of GCC that Matlab borrowed these libraries from (e.g., <a href=\"https://www.mathworks.com/support/requirements/supported-compilers-linux.html\">GCC 9 for Matlab R2022a, etc</a>);</li>\n<li>Matlab needs to <a href=\"https://www.mathworks.com/support/requirements/python-compatibility.html\">use the same Python interpretter/venv</a> as the pip invocation used to install PyPartMC;</li>\n<li>a single-line <code>pybind11_builtins.py</code> file with just <code>pybind11_type=type</code> inside needs to be placed within Matlab's <code>PYTHONPATH</code> to sort out a <a href=\"https://github.com/pybind/pybind11/issues/3945\">Matlab-pybind11 incompatibility</a>. </li>\n</ul>\n\n<div class=\"pdoc-code codehilite\">\n<pre><span></span><code><span class=\"n\">ppmc</span><span class=\"w\"> </span><span class=\"p\">=</span><span class=\"w\"> </span><span class=\"n\">py</span><span class=\"p\">.</span><span class=\"n\">importlib</span><span class=\"p\">.</span><span class=\"n\">import_module</span><span class=\"p\">(</span><span class=\"s\">'PyPartMC'</span><span class=\"p\">);</span>\n<span class=\"n\">si</span><span class=\"w\"> </span><span class=\"p\">=</span><span class=\"w\"> </span><span class=\"n\">py</span><span class=\"p\">.</span><span class=\"n\">importlib</span><span class=\"p\">.</span><span class=\"n\">import_module</span><span class=\"p\">(</span><span class=\"s\">'PyPartMC'</span><span class=\"p\">).</span><span class=\"n\">si</span><span class=\"p\">;</span>\n\n<span class=\"n\">aero_data</span><span class=\"w\"> </span><span class=\"p\">=</span><span class=\"w\"> </span><span class=\"n\">ppmc</span><span class=\"p\">.</span><span class=\"n\">AeroData</span><span class=\"p\">(</span><span class=\"n\">py</span><span class=\"p\">.</span><span class=\"n\">tuple</span><span class=\"p\">({</span><span class=\"w\"> </span><span class=\"k\">...</span>\n<span class=\"w\"> </span><span class=\"n\">py</span><span class=\"p\">.</span><span class=\"n\">dict</span><span class=\"p\">(</span><span class=\"nb\">pyargs</span><span class=\"p\">(</span><span class=\"s\">"OC"</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"n\">py</span><span class=\"p\">.</span><span class=\"n\">tuple</span><span class=\"p\">({</span><span class=\"mi\">1000</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">si</span><span class=\"p\">.</span><span class=\"n\">kg</span><span class=\"o\">/</span><span class=\"n\">si</span><span class=\"p\">.</span><span class=\"n\">m</span><span class=\"o\">^</span><span class=\"mi\">3</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"mi\">0</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"mf\">1e-3</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">si</span><span class=\"p\">.</span><span class=\"n\">kg</span><span class=\"o\">/</span><span class=\"n\">si</span><span class=\"p\">.</span><span class=\"n\">mol</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"mf\">0.001</span><span class=\"p\">}))),</span><span class=\"w\"> </span><span class=\"k\">...</span>\n<span class=\"w\"> </span><span class=\"n\">py</span><span class=\"p\">.</span><span class=\"n\">dict</span><span class=\"p\">(</span><span class=\"nb\">pyargs</span><span class=\"p\">(</span><span class=\"s\">"BC"</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"n\">py</span><span class=\"p\">.</span><span class=\"n\">tuple</span><span class=\"p\">({</span><span class=\"mi\">1800</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">si</span><span class=\"p\">.</span><span class=\"n\">kg</span><span class=\"o\">/</span><span class=\"n\">si</span><span class=\"p\">.</span><span class=\"n\">m</span><span class=\"o\">^</span><span class=\"mi\">3</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"mi\">0</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"mf\">1e-3</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">si</span><span class=\"p\">.</span><span class=\"n\">kg</span><span class=\"o\">/</span><span class=\"n\">si</span><span class=\"p\">.</span><span class=\"n\">mol</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"mi\">0</span><span class=\"p\">})))</span><span class=\"w\"> </span><span class=\"k\">...</span>\n<span class=\"p\">}));</span>\n\n<span class=\"n\">aero_dist</span><span class=\"w\"> </span><span class=\"p\">=</span><span class=\"w\"> </span><span class=\"n\">ppmc</span><span class=\"p\">.</span><span class=\"n\">AeroDist</span><span class=\"p\">(</span><span class=\"n\">aero_data</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"n\">py</span><span class=\"p\">.</span><span class=\"n\">tuple</span><span class=\"p\">({</span><span class=\"w\"> </span><span class=\"k\">...</span>\n<span class=\"w\"> </span><span class=\"n\">py</span><span class=\"p\">.</span><span class=\"n\">dict</span><span class=\"p\">(</span><span class=\"nb\">pyargs</span><span class=\"p\">(</span><span class=\"w\"> </span><span class=\"k\">...</span>\n<span class=\"w\"> </span><span class=\"s\">"cooking"</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"n\">py</span><span class=\"p\">.</span><span class=\"n\">dict</span><span class=\"p\">(</span><span class=\"nb\">pyargs</span><span class=\"p\">(</span><span class=\"w\"> </span><span class=\"k\">...</span>\n<span class=\"w\"> </span><span class=\"s\">"mass_frac"</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"n\">py</span><span class=\"p\">.</span><span class=\"n\">tuple</span><span class=\"p\">({</span><span class=\"n\">py</span><span class=\"p\">.</span><span class=\"n\">dict</span><span class=\"p\">(</span><span class=\"nb\">pyargs</span><span class=\"p\">(</span><span class=\"s\">"OC"</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"n\">py</span><span class=\"p\">.</span><span class=\"n\">tuple</span><span class=\"p\">({</span><span class=\"mi\">1</span><span class=\"p\">})))}),</span><span class=\"w\"> </span><span class=\"k\">...</span>\n<span class=\"w\"> </span><span class=\"s\">"diam_type"</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"s\">"geometric"</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"k\">...</span>\n<span class=\"w\"> </span><span class=\"s\">"mode_type"</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"s\">"log_normal"</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"k\">...</span>\n<span class=\"w\"> </span><span class=\"s\">"num_conc"</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"mi\">3200</span><span class=\"w\"> </span><span class=\"o\">/</span><span class=\"w\"> </span><span class=\"n\">si</span><span class=\"p\">.</span><span class=\"n\">cm</span><span class=\"o\">^</span><span class=\"mi\">3</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"k\">...</span>\n<span class=\"w\"> </span><span class=\"s\">"geom_mean_diam"</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"mf\">8.64</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">si</span><span class=\"p\">.</span><span class=\"n\">nm</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"k\">...</span>\n<span class=\"w\"> </span><span class=\"s\">"log10_geom_std_dev"</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"mf\">.28</span><span class=\"w\"> </span><span class=\"k\">...</span>\n<span class=\"w\"> </span><span class=\"p\">)),</span><span class=\"w\"> </span><span class=\"k\">...</span>\n<span class=\"w\"> </span><span class=\"s\">"diesel"</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"n\">py</span><span class=\"p\">.</span><span class=\"n\">dict</span><span class=\"p\">(</span><span class=\"nb\">pyargs</span><span class=\"p\">(</span><span class=\"w\"> </span><span class=\"k\">...</span>\n<span class=\"w\"> </span><span class=\"s\">"mass_frac"</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"n\">py</span><span class=\"p\">.</span><span class=\"n\">tuple</span><span class=\"p\">({</span><span class=\"w\"> </span><span class=\"k\">...</span>\n<span class=\"w\"> </span><span class=\"n\">py</span><span class=\"p\">.</span><span class=\"n\">dict</span><span class=\"p\">(</span><span class=\"nb\">pyargs</span><span class=\"p\">(</span><span class=\"s\">"OC"</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"n\">py</span><span class=\"p\">.</span><span class=\"n\">tuple</span><span class=\"p\">({</span><span class=\"mf\">.3</span><span class=\"p\">}))),</span><span class=\"w\"> </span><span class=\"k\">...</span>\n<span class=\"w\"> </span><span class=\"n\">py</span><span class=\"p\">.</span><span class=\"n\">dict</span><span class=\"p\">(</span><span class=\"nb\">pyargs</span><span class=\"p\">(</span><span class=\"s\">"BC"</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"n\">py</span><span class=\"p\">.</span><span class=\"n\">tuple</span><span class=\"p\">({</span><span class=\"mf\">.7</span><span class=\"p\">}))),</span><span class=\"w\"> </span><span class=\"k\">...</span>\n<span class=\"w\"> </span><span class=\"p\">}),</span><span class=\"w\"> </span><span class=\"k\">...</span>\n<span class=\"w\"> </span><span class=\"s\">"diam_type"</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"s\">"geometric"</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"k\">...</span>\n<span class=\"w\"> </span><span class=\"s\">"mode_type"</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"s\">"log_normal"</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"k\">...</span>\n<span class=\"w\"> </span><span class=\"s\">"num_conc"</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"mi\">2900</span><span class=\"w\"> </span><span class=\"o\">/</span><span class=\"w\"> </span><span class=\"n\">si</span><span class=\"p\">.</span><span class=\"n\">cm</span><span class=\"o\">^</span><span class=\"mi\">3</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"k\">...</span>\n<span class=\"w\"> </span><span class=\"s\">"geom_mean_diam"</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"mi\">50</span><span class=\"w\"> </span><span class=\"o\">*</span><span class=\"w\"> </span><span class=\"n\">si</span><span class=\"p\">.</span><span class=\"n\">nm</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"k\">...</span>\n<span class=\"w\"> </span><span class=\"s\">"log10_geom_std_dev"</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"mf\">.24</span><span class=\"w\"> </span><span class=\"k\">...</span>\n<span class=\"w\"> </span><span class=\"p\">))</span><span class=\"w\"> </span><span class=\"k\">...</span>\n<span class=\"w\"> </span><span class=\"p\">))</span><span class=\"w\"> </span><span class=\"k\">...</span>\n<span class=\"p\">}));</span>\n\n<span class=\"n\">n_part</span><span class=\"w\"> </span><span class=\"p\">=</span><span class=\"w\"> </span><span class=\"mi\">100</span><span class=\"p\">;</span>\n<span class=\"n\">aero_state</span><span class=\"w\"> </span><span class=\"p\">=</span><span class=\"w\"> </span><span class=\"n\">ppmc</span><span class=\"p\">.</span><span class=\"n\">AeroState</span><span class=\"p\">(</span><span class=\"n\">aero_data</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"n\">n_part</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"s\">"nummass_source"</span><span class=\"p\">);</span>\n<span class=\"n\">aero_state</span><span class=\"p\">.</span><span class=\"n\">dist_sample</span><span class=\"p\">(</span><span class=\"n\">aero_dist</span><span class=\"p\">);</span>\n<span class=\"n\">masses</span><span class=\"w\"> </span><span class=\"p\">=</span><span class=\"w\"> </span><span class=\"nb\">cell</span><span class=\"p\">(</span><span class=\"n\">aero_state</span><span class=\"p\">.</span><span class=\"n\">masses</span><span class=\"p\">());</span>\n<span class=\"n\">num_concs</span><span class=\"w\"> </span><span class=\"p\">=</span><span class=\"w\"> </span><span class=\"nb\">cell</span><span class=\"p\">(</span><span class=\"n\">aero_state</span><span class=\"p\">.</span><span class=\"n\">num_concs</span><span class=\"p\">);</span>\n<span class=\"nb\">fprintf</span><span class=\"p\">(</span><span class=\"s\">'%g # kg/m3\\n'</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"nb\">dot</span><span class=\"p\">([</span><span class=\"n\">masses</span><span class=\"p\">{:}],</span><span class=\"w\"> </span><span class=\"p\">[</span><span class=\"n\">num_concs</span><span class=\"p\">{:}]))</span>\n</code></pre>\n</div>\n\n<h4 id=\"usage-in-other-projects\">usage in other projects</h4>\n\n<p>PyPartMC is used within the <a href=\"https://github.com/atmos-cloud-sim-uj/PySDM/tree/main/tests/smoke_tests/box/partmc\">test workflow of the PySDM project</a>.</p>\n\n<h2 id=\"other-packages-with-relevant-feature-scope\">Other packages with relevant feature scope</h2>\n\n<ul>\n<li><a href=\"https://openaerosol.sourceforge.io/\">aerosolGDEFoam</a>: OpenFOAM CFD-coupled aerosol dynamics including nucleation, coagulation, and surface growth </li>\n<li><a href=\"http://www.aiomfac.caltech.edu/\">AIOMFAC and AIOMFAC-web</a>: Fortran-implemented aerosol thermodynamic model for calculation of activity coefficients in organic-inorganic mixtures \u2013 from simple binary solutions to complex multicomponent systems</li>\n<li><a href=\"https://stammler.github.io/dustpy/\">DustPy</a>: Python package for modelling dust evolution in protoplanetary disks (differences: focus on astrophysical applications vs. atmospheric aerosol)</li>\n<li><a href=\"https://github.com/tintin554/multilayerpy\">multilayerpy</a>: kinetic multi-layer model for aerosol particles and films </li>\n<li><a href=\"https://pybox.readthedocs.io\">PyBox</a>: aerosol simulation model featuring gas and particle chamistry (differences: PyBox focuses on chemical mechanisms; PyPartMC is an interface to PartMC which focuses on physics - e.g., collisions of aerosol particles - while chemical processes are handled with external software, e.g., CAMP or MOSAIC)</li>\n<li><a href=\"https://github.com/simonom/PyCHAM\">PyCHAM</a>: CHemistry with Aerosol Microphysics in Python Box Model for modelling of indoor environments, including aerosol chambers</li>\n<li><a href=\"https://open-atmos.github.io/PySDM\">PySDM</a>: particle-based Monte-Carlo aerosol-cloud simulation package (differences: PySDM focuses on growth and breakup processes relevant to cloud droplets; PyPartMC focuses on processes relevant to air pollutants and their chemical and physical transformations)</li>\n<li><a href=\"https://github.com/sshaerosol/ssh-aerosol\">SSH-aerosol</a>: C++/Fortran package for simulating evolution of primary and secondary atmospheric aerosols</li>\n</ul>\n\n<h2 id=\"faq\">FAQ</h2>\n\n<ul>\n<li>Q: How to install PyPartMC with MOSAIC enabled?<br />\nA: Installation can be done using <code>pip</code>, however, <code>pip</code> needs to be instructed not to use binary packages available at pypi.org but rather to compile from source (pip will download the source from pip.org), and the path to compiled MOSAIC library needs to be provided at compile-time; the following command should convey it:</li>\n</ul>\n\n<div class=\"pdoc-code codehilite\">\n<pre><span></span><code><span class=\"nv\">MOSAIC_HOME</span><span class=\"o\">=</span><span class=\"s\"><<PATH_TO_MOSAIC_LIB>> pip install --force-reinstall --no-binary=P</span>yPartMC<span class=\"w\"> </span>PyPartMC\n</code></pre>\n</div>\n\n<ul>\n<li><p>Q: Why <code>pip install PyPartMC</code> triggers compilation on my brand new Apple machine, while it quickly downloads and installs binary packages when executed on older Macs, Windows or Linux?<br />\nA: We are providing binary wheels on PyPI for Apple-silicon (arm64) machines for selected macOS version made available by Github. In case the macOS version you are using is newer, compilation from source is triggered. </p></li>\n<li><p>Q: Why some of the constructors expect data to be passed as <strong>lists of single-entry dictionaries</strong> instead of multi-element dictionaries?<br />\nA: This is intentional and related with PartMC relying on the order of elements within spec-file input; while Python dictionaries preserve ordering (insertion order), JSON format does not, and we intend to make these data structures safe to be [de]serialized using JSON. </p></li>\n<li><p>Q: How to check the version of PartMC that PyPartMC was compiled against?<br />\nA: Version numbers of compile-time dependencies of PyPartMC, including PartMC, can be accessed as follows:</p></li>\n</ul>\n\n<div class=\"pdoc-code codehilite\">\n<pre><span></span><code><span class=\"kn\">import</span><span class=\"w\"> </span><span class=\"nn\">PyPartMC</span>\n<span class=\"n\">PyPartMC</span><span class=\"o\">.</span><span class=\"n\">__versions_of_build_time_dependencies__</span><span class=\"p\">[</span><span class=\"s1\">'PartMC'</span><span class=\"p\">]</span>\n</code></pre>\n</div>\n\n<ul>\n<li>Q: Why m4 and perl are required at compile time?<br />\nA: PyPartMC includes parts of netCDF and HDF5 codebases which depend on m4 and perl, respectively, for generating source files before compilation.</li>\n</ul>\n\n<h2 id=\"troubleshooting\">Troubleshooting</h2>\n\n<h4 id=\"common-installation-issues\">Common installation issues</h4>\n\n<pre><code>error: [Errno 2] No such file or directory: 'cmake'\n</code></pre>\n\n<p>Try rerunning after installing CMake, e.g., using <code>apt-get install cmake</code> (Ubuntu/Debian), <code>brew install cmake</code> (homebrew on macOS) or using <a href=\"https://www.msys2.org/docs/cmake/\">MSYS2</a> on Windows.</p>\n\n<pre><code>No CMAKE_Fortran_COMPILER could be found.\n</code></pre>\n\n<p>Try installing a Fortran compiler (e.g., <code>brew reinstall gcc</code> with Homebrew on macOS or using <a href=\"https://packages.msys2.org/package/mingw-w64-x86_64-gcc-fortran?repo=mingw64\">MSYS2</a> on Windows).</p>\n\n<pre><code>Could not find NC_M4 using the following names: m4, m4.exe\n</code></pre>\n\n<p>Try installing <code>m4</code> (e.g., using <a href=\"https://packages.msys2.org/package/m4?repo=msys&variant=x86_64\">MSYS2</a> on Windows).</p>\n\n<h2 id=\"acknowledgement-and-citations\">Acknowledgement and citations</h2>\n\n<p>We would greatly appreciate citation of the PartMC model description paper (Riemer et al., 2009) \nand the PyPartMC description paper (D\u2019Aquino et al., 2024) if PyPartMC was used in your study.\nThe citations are:</p>\n\n<ul>\n<li>Riemer, N., M. West, R. A. Zaveri, R. C. Easter: Simulating the evolution of soot \nmixing-state with a particle-resolved aerosol model<br />\nJ. Geophys. Res., 114, D09202, 2009, DOI: <a href=\"https://doi.org/10.1029/2008JD011073\">10.1029/2008JD011073</a></li>\n<li>D\u2019Aquino, Z., S. Arabas, J. H. Curtis, A. Vaishnav, N. Riemer, M. West: PyPartMC: A \npythonic interfact to a particle-resolved, Monte Carlo aerosol simulation framework<br />\nSoftwareX, 25, 101613, 2024, DOI: <a href=\"https://doi.org/10.1016/j.softx.2023.101613\">10.1016/j.softx.2023.101613</a></li>\n</ul>\n\n<p>The following paragraph provides a more substantial description of PartMC (text released into the public domain and can be freely copied by anyone for any purpose):</p>\n\n<blockquote>\n <p>PartMC is a stochastic, particle-resolved aerosol box model. It tracks the \n composition of many computational particles (10<sup>4</sup> to 10<sup>6</sup>) within a well-mixed air \n volume, each represented by a composition vector that evolves based on physical \n and chemical processes. The physical processes\u2014including Brownian coagulation, \n new particle formation, emissions, dilution, and deposition\u2014are simulated using a \n stochastic Monte Carlo approach via a Poisson process while chemical processes are\n simulated deterministically for each computational particle. The weighted flow \n algorithm (DeVille, Riemer, and West, 2011, 2019) enhances efficiency and reduces \n ensemble variance. Detailed numerical methods are described in Riemer et al. \n (2009), DeVille et al. (2011, 2019), and Curtis et al. (2016). PartMC is open-source \n under the GNU GPL v2 and available at \n <a href=\"https://github.com/compdyn/partmc\">github.com/compdyn/partmc</a>.</p>\n \n <p>References:</p>\n \n <ul>\n <li>Curtis, J. H., M. D. Michelotti, N. Riemer, M. T. Heath, M. West: Accelerated \n simulation of stochastic particle removal processes in particle-resolved aerosol \n models, J. Computational Phys., 322, 21-32, 2016, DOI: <a href=\"https://doi.org/10.1016/j.jcp.2016.06.029\">10.1016/j.jcp.2016.06.029</a></li>\n <li>DeVille, L., N. Riemer, M. West, Convergence of a generalized weighted flow \n algorithm for stochastic particle coagulation, J. Computational Dynamics, 6, 69-94, \n 2019, DOI: <a href=\"https://doi.org/10.3934/jcd.2019003\">10.3934/jcd.2019003</a></li>\n <li>DeVille, R. E. L., N. Riemer, M. West, The Weighted Flow Algorithm (WFA) for \n stochastic particle coagulation, J. Computational Phys., 230, 8427-8451, 2011, \n DOI: <a href=\"https://doi.org/10.1016/j.jcp.2011.07.027\">10.1016/j.jcp.2011.07.027</a></li>\n <li>Riemer, N., M. West, R. A. Zaveri, R. C. Easter, Simulating the evolution of soot \n mixing-state with a particle-resolved aerosol model, J. Geophys. Res., 114, D09202, \n 2009., DOI: <a href=\"https://doi.org/10.1029/2008JD011073\">10.1029/2008JD011073</a></li>\n </ul>\n</blockquote>\n\n<h2 id=\"credits\">Credits</h2>\n\n<h4 id=\"pypartmc-2\">PyPartMC:</h4>\n\n<p>authors: <a href=\"https://github.com/open-atmos/PyPartMC/graphs/contributors\">PyPartMC developers</a><br />\nfunding: <a href=\"https://asr.science.energy.gov/\">US Department of Energy Atmospheric System Research programme</a>, <a href=\"https://ncn.gov.pl/en\">Polish National Science Centre</a><br />\ncopyright: <a href=\"https://atmos.illinois.edu/\">University of Illinois at Urbana-Champaign</a><br />\nlicence: <a href=\"https://www.gnu.org/licenses/gpl-3.0.en.html\">GPL v3</a></p>\n\n<h4 id=\"partmc\">PartMC:</h4>\n\n<p>authors: <a href=\"https://www.atmos.uiuc.edu/~nriemer/\">Nicole Riemer</a>, <a href=\"https://lagrange.mechse.illinois.edu/mwest/\">Matthew West</a>, <a href=\"https://publish.illinois.edu/jcurtis2/\">Jeff Curtis</a> et al.<br />\nlicence: <a href=\"https://www.gnu.org/licenses/old-licenses/gpl-2.0.html\">GPL v2</a> or later</p>\n"}, "PyPartMC.AeroData": {"fullname": "PyPartMC.AeroData", "modulename": "PyPartMC", "qualname": "AeroData", "kind": "class", "doc": "<p>Aerosol material properties and associated data.</p>\n\n<p>The data in this structure is constant, as it represents physical\nquantities that cannot change over time.</p>\n\n<p>Each aerosol species is identified by an index <tt>i =\n1,...,aero_data_n_spec(aero_data)</tt>. Then \\c name(i) is the name of\nthat species, \\c density(i) is its density, etc. The ordering of the\nspecies is arbitrary and should not be relied upon (currently it is the\norder in the species data file). The only exception is that it is\npossible to find out which species is water from the \\c i_water\nvariable.</p>\n\n<p>The names of the aerosol species are not important to PartMC, as\nonly the material properties are used. The names are used for\ninput and output, and also for communication with MOSAIC. For the\nMOSAIC interface to work correctly the species must be named the\nsame, but without the \\c _a suffix.</p>\n", "bases": "pybind11_builtins.pybind11_object"}, "PyPartMC.AeroData.__init__": {"fullname": "PyPartMC.AeroData.__init__", "modulename": "PyPartMC", "qualname": "AeroData.__init__", "kind": "function", "doc": "<p>__init__(self: _PyPartMC.AeroData, arg0: json) -> None</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">()</span>"}, "PyPartMC.AeroData.spec_by_name": {"fullname": "PyPartMC.AeroData.spec_by_name", "modulename": "PyPartMC", "qualname": "AeroData.spec_by_name", "kind": "function", "doc": "<p>spec_by_name(self: _PyPartMC.AeroData, arg0: str) -> int</p>\n\n<p>Returns the number of the species in AeroData with the given name</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.AeroData.n_source": {"fullname": "PyPartMC.AeroData.n_source", "modulename": "PyPartMC", "qualname": "AeroData.n_source", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.AeroData) -> int</p>\n"}, "PyPartMC.AeroData.sources": {"fullname": "PyPartMC.AeroData.sources", "modulename": "PyPartMC", "qualname": "AeroData.sources", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.AeroData) -> tuple</p>\n"}, "PyPartMC.AeroData.frac_dim": {"fullname": "PyPartMC.AeroData.frac_dim", "modulename": "PyPartMC", "qualname": "AeroData.frac_dim", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.AeroData) -> float</p>\n"}, "PyPartMC.AeroData.vol_fill_factor": {"fullname": "PyPartMC.AeroData.vol_fill_factor", "modulename": "PyPartMC", "qualname": "AeroData.vol_fill_factor", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.AeroData) -> float</p>\n"}, "PyPartMC.AeroData.prime_radius": {"fullname": "PyPartMC.AeroData.prime_radius", "modulename": "PyPartMC", "qualname": "AeroData.prime_radius", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.AeroData) -> float</p>\n"}, "PyPartMC.AeroData.densities": {"fullname": "PyPartMC.AeroData.densities", "modulename": "PyPartMC", "qualname": "AeroData.densities", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.AeroData) -> List[float]</p>\n"}, "PyPartMC.AeroData.kappa": {"fullname": "PyPartMC.AeroData.kappa", "modulename": "PyPartMC", "qualname": "AeroData.kappa", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.AeroData) -> List[float]</p>\n"}, "PyPartMC.AeroData.molecular_weights": {"fullname": "PyPartMC.AeroData.molecular_weights", "modulename": "PyPartMC", "qualname": "AeroData.molecular_weights", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.AeroData) -> List[float]</p>\n"}, "PyPartMC.AeroData.density": {"fullname": "PyPartMC.AeroData.density", "modulename": "PyPartMC", "qualname": "AeroData.density", "kind": "function", "doc": "<p>density(self: _PyPartMC.AeroData, arg0: str) -> float</p>\n\n<p>Return density of an aerosol species</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.AeroData.rad2vol": {"fullname": "PyPartMC.AeroData.rad2vol", "modulename": "PyPartMC", "qualname": "AeroData.rad2vol", "kind": "function", "doc": "<p>rad2vol(self: _PyPartMC.AeroData, arg0: float) -> float</p>\n\n<p>Convert geometric radius (m) to mass-equivalent volume (m^3).</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.AeroData.vol2rad": {"fullname": "PyPartMC.AeroData.vol2rad", "modulename": "PyPartMC", "qualname": "AeroData.vol2rad", "kind": "function", "doc": "<p>vol2rad(self: _PyPartMC.AeroData, arg0: float) -> float</p>\n\n<p>Convert mass-equivalent volume (m^3) to geometric radius (m)</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.AeroData.diam2vol": {"fullname": "PyPartMC.AeroData.diam2vol", "modulename": "PyPartMC", "qualname": "AeroData.diam2vol", "kind": "function", "doc": "<p>diam2vol(self: _PyPartMC.AeroData, arg0: float) -> float</p>\n\n<p>Convert geometric diameter (m) to mass-equivalent volume (m^3).</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.AeroData.vol2diam": {"fullname": "PyPartMC.AeroData.vol2diam", "modulename": "PyPartMC", "qualname": "AeroData.vol2diam", "kind": "function", "doc": "<p>vol2diam(self: _PyPartMC.AeroData, arg0: float) -> float</p>\n\n<p>Convert mass-equivalent volume (m^3) to geometric diameter (m).</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.AeroData.species": {"fullname": "PyPartMC.AeroData.species", "modulename": "PyPartMC", "qualname": "AeroData.species", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.AeroData) -> tuple</p>\n"}, "PyPartMC.AeroDist": {"fullname": "PyPartMC.AeroDist", "modulename": "PyPartMC", "qualname": "AeroDist", "kind": "class", "doc": "<p></p>\n", "bases": "pybind11_builtins.pybind11_object"}, "PyPartMC.AeroDist.__init__": {"fullname": "PyPartMC.AeroDist.__init__", "modulename": "PyPartMC", "qualname": "AeroDist.__init__", "kind": "function", "doc": "<p>__init__(self: _PyPartMC.AeroDist, arg0: _PyPartMC.AeroData, arg1: json) -> None</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">()</span>"}, "PyPartMC.AeroDist.n_mode": {"fullname": "PyPartMC.AeroDist.n_mode", "modulename": "PyPartMC", "qualname": "AeroDist.n_mode", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.AeroDist) -> int</p>\n"}, "PyPartMC.AeroDist.num_conc": {"fullname": "PyPartMC.AeroDist.num_conc", "modulename": "PyPartMC", "qualname": "AeroDist.num_conc", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.AeroDist) -> float</p>\n"}, "PyPartMC.AeroDist.mode": {"fullname": "PyPartMC.AeroDist.mode", "modulename": "PyPartMC", "qualname": "AeroDist.mode", "kind": "function", "doc": "<p>mode(self: _PyPartMC.AeroDist, arg0: int) -> _PyPartMC.AeroMode</p>\n\n<p>returns the mode of a given index</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.AeroMode": {"fullname": "PyPartMC.AeroMode", "modulename": "PyPartMC", "qualname": "AeroMode", "kind": "class", "doc": "<p></p>\n", "bases": "pybind11_builtins.pybind11_object"}, "PyPartMC.AeroMode.__init__": {"fullname": "PyPartMC.AeroMode.__init__", "modulename": "PyPartMC", "qualname": "AeroMode.__init__", "kind": "function", "doc": "<p>__init__(self: _PyPartMC.AeroMode, arg0: _PyPartMC.AeroData, arg1: json) -> None</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">()</span>"}, "PyPartMC.AeroMode.num_conc": {"fullname": "PyPartMC.AeroMode.num_conc", "modulename": "PyPartMC", "qualname": "AeroMode.num_conc", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.AeroMode) -> float</p>\n"}, "PyPartMC.AeroMode.num_dist": {"fullname": "PyPartMC.AeroMode.num_dist", "modulename": "PyPartMC", "qualname": "AeroMode.num_dist", "kind": "function", "doc": "<p>num_dist(self: _PyPartMC.AeroMode, arg0: _PyPartMC.BinGrid, arg1: _PyPartMC.AeroData) -> List[float]</p>\n\n<p>returns the binned number concenration of a mode</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.AeroMode.vol_frac": {"fullname": "PyPartMC.AeroMode.vol_frac", "modulename": "PyPartMC", "qualname": "AeroMode.vol_frac", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.AeroMode) -> List[float]</p>\n"}, "PyPartMC.AeroMode.vol_frac_std": {"fullname": "PyPartMC.AeroMode.vol_frac_std", "modulename": "PyPartMC", "qualname": "AeroMode.vol_frac_std", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.AeroMode) -> List[float]</p>\n"}, "PyPartMC.AeroMode.char_radius": {"fullname": "PyPartMC.AeroMode.char_radius", "modulename": "PyPartMC", "qualname": "AeroMode.char_radius", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.AeroMode) -> float</p>\n"}, "PyPartMC.AeroMode.gsd": {"fullname": "PyPartMC.AeroMode.gsd", "modulename": "PyPartMC", "qualname": "AeroMode.gsd", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.AeroMode) -> float</p>\n"}, "PyPartMC.AeroMode.set_sample": {"fullname": "PyPartMC.AeroMode.set_sample", "modulename": "PyPartMC", "qualname": "AeroMode.set_sample", "kind": "function", "doc": "<p>set_sample(self: _PyPartMC.AeroMode, arg0: List[float], arg1: List[float]) -> None</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.AeroMode.sample_num_conc": {"fullname": "PyPartMC.AeroMode.sample_num_conc", "modulename": "PyPartMC", "qualname": "AeroMode.sample_num_conc", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.AeroMode) -> List[float]</p>\n"}, "PyPartMC.AeroMode.sample_radius": {"fullname": "PyPartMC.AeroMode.sample_radius", "modulename": "PyPartMC", "qualname": "AeroMode.sample_radius", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.AeroMode) -> List[float]</p>\n"}, "PyPartMC.AeroMode.type": {"fullname": "PyPartMC.AeroMode.type", "modulename": "PyPartMC", "qualname": "AeroMode.type", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.AeroMode) -> str</p>\n"}, "PyPartMC.AeroMode.name": {"fullname": "PyPartMC.AeroMode.name", "modulename": "PyPartMC", "qualname": "AeroMode.name", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.AeroMode) -> str</p>\n"}, "PyPartMC.AeroState": {"fullname": "PyPartMC.AeroState", "modulename": "PyPartMC", "qualname": "AeroState", "kind": "class", "doc": "<p>The current collection of aerosol particles.</p>\n\n<p>The particles in \\c aero_state_t are stored in a single flat\narray (the \\c apa data member), with a sorting into size bins and\nweight groups/classes possibly stored in the \\c aero_sorted data\nmember (if \\c valid_sort is true).</p>\n\n<p>Every time we remove particles we keep track of the particle ID\nand the action performed in the aero_info_array_t structure. This\nis typically cleared each time we output data to disk.</p>\n", "bases": "pybind11_builtins.pybind11_object"}, "PyPartMC.AeroState.__init__": {"fullname": "PyPartMC.AeroState.__init__", "modulename": "PyPartMC", "qualname": "AeroState.__init__", "kind": "function", "doc": "<p>__init__(self: _PyPartMC.AeroState, arg0: _PyPartMC.AeroData, arg1: float, arg2: str) -> None</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">()</span>"}, "PyPartMC.AeroState.total_num_conc": {"fullname": "PyPartMC.AeroState.total_num_conc", "modulename": "PyPartMC", "qualname": "AeroState.total_num_conc", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.AeroState) -> float</p>\n"}, "PyPartMC.AeroState.total_mass_conc": {"fullname": "PyPartMC.AeroState.total_mass_conc", "modulename": "PyPartMC", "qualname": "AeroState.total_mass_conc", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.AeroState) -> float</p>\n"}, "PyPartMC.AeroState.num_concs": {"fullname": "PyPartMC.AeroState.num_concs", "modulename": "PyPartMC", "qualname": "AeroState.num_concs", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.AeroState) -> List[float]</p>\n"}, "PyPartMC.AeroState.masses": {"fullname": "PyPartMC.AeroState.masses", "modulename": "PyPartMC", "qualname": "AeroState.masses", "kind": "function", "doc": "<p>masses(self: _PyPartMC.AeroState, include: Optional[List[str]] = None, exclude: Optional[List[str]] = None) -> List[float]</p>\n\n<p>returns the total mass of each particle in the population</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.AeroState.volumes": {"fullname": "PyPartMC.AeroState.volumes", "modulename": "PyPartMC", "qualname": "AeroState.volumes", "kind": "function", "doc": "<p>volumes(self: _PyPartMC.AeroState, include: Optional[List[str]] = None, exclude: Optional[List[str]] = None) -> List[float]</p>\n\n<p>returns the volume of each particle in the population</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.AeroState.dry_diameters": {"fullname": "PyPartMC.AeroState.dry_diameters", "modulename": "PyPartMC", "qualname": "AeroState.dry_diameters", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.AeroState) -> List[float]</p>\n"}, "PyPartMC.AeroState.mobility_diameters": {"fullname": "PyPartMC.AeroState.mobility_diameters", "modulename": "PyPartMC", "qualname": "AeroState.mobility_diameters", "kind": "function", "doc": "<p>mobility_diameters(self: _PyPartMC.AeroState, arg0: EnvState) -> List[float]</p>\n\n<p>returns the mobility diameter of each particle in the population</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.AeroState.diameters": {"fullname": "PyPartMC.AeroState.diameters", "modulename": "PyPartMC", "qualname": "AeroState.diameters", "kind": "function", "doc": "<p>diameters(self: _PyPartMC.AeroState, include: Optional[List[str]] = None, exclude: Optional[List[str]] = None) -> List[float]</p>\n\n<p>returns the diameter of each particle in the population</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.AeroState.crit_rel_humids": {"fullname": "PyPartMC.AeroState.crit_rel_humids", "modulename": "PyPartMC", "qualname": "AeroState.crit_rel_humids", "kind": "function", "doc": "<p>crit_rel_humids(self: _PyPartMC.AeroState, arg0: EnvState) -> List[float]</p>\n\n<p>returns the critical relative humidity of each particle in the population</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.AeroState.make_dry": {"fullname": "PyPartMC.AeroState.make_dry", "modulename": "PyPartMC", "qualname": "AeroState.make_dry", "kind": "function", "doc": "<p>make_dry(self: _PyPartMC.AeroState) -> None</p>\n\n<p>Make all particles dry (water set to zero).</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.AeroState.ids": {"fullname": "PyPartMC.AeroState.ids", "modulename": "PyPartMC", "qualname": "AeroState.ids", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.AeroState) -> List[int]</p>\n"}, "PyPartMC.AeroState.mixing_state": {"fullname": "PyPartMC.AeroState.mixing_state", "modulename": "PyPartMC", "qualname": "AeroState.mixing_state", "kind": "function", "doc": "<p>mixing_state(self: _PyPartMC.AeroState, include: Optional[List[str]] = None, exclude: Optional[List[str]] = None, group: Optional[List[str]] = None) -> Tuple[float, float, float]</p>\n\n<p>returns the mixing state parameters (d_alpha, d_gamma, chi) of the population</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.AeroState.bin_average_comp": {"fullname": "PyPartMC.AeroState.bin_average_comp", "modulename": "PyPartMC", "qualname": "AeroState.bin_average_comp", "kind": "function", "doc": "<p>bin_average_comp(self: _PyPartMC.AeroState, arg0: BinGrid) -> None</p>\n\n<p>composition-averages population using BinGrid</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.AeroState.particle": {"fullname": "PyPartMC.AeroState.particle", "modulename": "PyPartMC", "qualname": "AeroState.particle", "kind": "function", "doc": "<p>particle(self: _PyPartMC.AeroState, arg0: int) -> _PyPartMC.AeroParticle</p>\n\n<p>returns the particle of a given index</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.AeroState.rand_particle": {"fullname": "PyPartMC.AeroState.rand_particle", "modulename": "PyPartMC", "qualname": "AeroState.rand_particle", "kind": "function", "doc": "<p>rand_particle(self: _PyPartMC.AeroState) -> _PyPartMC.AeroParticle</p>\n\n<p>returns a random particle from the population</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.AeroState.dist_sample": {"fullname": "PyPartMC.AeroState.dist_sample", "modulename": "PyPartMC", "qualname": "AeroState.dist_sample", "kind": "function", "doc": "<p>dist_sample(self: _PyPartMC.AeroState, AeroDist: AeroDist, sample_prop: float = 1.0, create_time: float = 0.0, allow_doubling: bool = True, allow_halving: bool = True) -> int</p>\n\n<p>sample particles for AeroState from an AeroDist</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.AeroState.add_particle": {"fullname": "PyPartMC.AeroState.add_particle", "modulename": "PyPartMC", "qualname": "AeroState.add_particle", "kind": "function", "doc": "<p>add_particle(self: _PyPartMC.AeroState, arg0: _PyPartMC.AeroParticle) -> None</p>\n\n<p>add a particle to an AeroState</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.AeroState.add": {"fullname": "PyPartMC.AeroState.add", "modulename": "PyPartMC", "qualname": "AeroState.add", "kind": "function", "doc": "<p>add(self: _PyPartMC.AeroState, arg0: _PyPartMC.AeroState) -> None</p>\n\n<p>aero_state += aero_state_delta, including combining the\n weights, so the new concentration is the weighted average of the\n two concentrations.</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.AeroState.add_particles": {"fullname": "PyPartMC.AeroState.add_particles", "modulename": "PyPartMC", "qualname": "AeroState.add_particles", "kind": "function", "doc": "<p>add_particles(self: _PyPartMC.AeroState, arg0: _PyPartMC.AeroState) -> None</p>\n\n<p>aero_state += aero_state_delta, with the weight left unchanged\n so the new concentration is the sum of the two concentrations.</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.AeroState.sample": {"fullname": "PyPartMC.AeroState.sample", "modulename": "PyPartMC", "qualname": "AeroState.sample", "kind": "function", "doc": "<p>sample(self: _PyPartMC.AeroState, arg0: _PyPartMC.AeroState, arg1: float) -> None</p>\n\n<p>Generates a random sample by removing particles from\n aero_state_from and adding them to aero_state_to, transfering\n weight as well. This is the equivalent of aero_state_add().</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.AeroState.sample_particles": {"fullname": "PyPartMC.AeroState.sample_particles", "modulename": "PyPartMC", "qualname": "AeroState.sample_particles", "kind": "function", "doc": "<p>sample_particles(self: _PyPartMC.AeroState, arg0: _PyPartMC.AeroState, arg1: float) -> None</p>\n\n<p>!> Generates a random sample by removing particles from\n aero_state_from and adding them to aero_state_to, which must be\n already allocated (and should have its weight set).</p>\n\n<pre><code> None of the weights are altered by this sampling, making this the\n equivalent of aero_state_add_particles().\n</code></pre>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.AeroState.copy_weight": {"fullname": "PyPartMC.AeroState.copy_weight", "modulename": "PyPartMC", "qualname": "AeroState.copy_weight", "kind": "function", "doc": "<p>copy_weight(self: _PyPartMC.AeroState, arg0: _PyPartMC.AeroState) -> None</p>\n\n<p>copy weighting from another AeroState</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.AeroState.remove_particle": {"fullname": "PyPartMC.AeroState.remove_particle", "modulename": "PyPartMC", "qualname": "AeroState.remove_particle", "kind": "function", "doc": "<p>remove_particle(self: _PyPartMC.AeroState, arg0: int) -> None</p>\n\n<p>remove particle of a given index</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.AeroState.zero": {"fullname": "PyPartMC.AeroState.zero", "modulename": "PyPartMC", "qualname": "AeroState.zero", "kind": "function", "doc": "<p>zero(self: _PyPartMC.AeroState) -> None</p>\n\n<p>remove all particles from an AeroState</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.AeroParticle": {"fullname": "PyPartMC.AeroParticle", "modulename": "PyPartMC", "qualname": "AeroParticle", "kind": "class", "doc": "<p>Single aerosol particle data structure.</p>\n\n<p>The \\c vol array stores the total volumes of the different\nspecies that make up the particle. This array must have length\nequal to aero_data%%n_spec, so that \\c vol(i) is the volume (in\nm^3) of the i'th aerosol species.</p>\n", "bases": "pybind11_builtins.pybind11_object"}, "PyPartMC.AeroParticle.__init__": {"fullname": "PyPartMC.AeroParticle.__init__", "modulename": "PyPartMC", "qualname": "AeroParticle.__init__", "kind": "function", "doc": "<p>__init__(self: _PyPartMC.AeroParticle, arg0: _PyPartMC.AeroData, arg1: List[float]) -> None</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">()</span>"}, "PyPartMC.AeroParticle.volumes": {"fullname": "PyPartMC.AeroParticle.volumes", "modulename": "PyPartMC", "qualname": "AeroParticle.volumes", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.AeroParticle) -> List[float]</p>\n"}, "PyPartMC.AeroParticle.volume": {"fullname": "PyPartMC.AeroParticle.volume", "modulename": "PyPartMC", "qualname": "AeroParticle.volume", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.AeroParticle) -> float</p>\n"}, "PyPartMC.AeroParticle.species_volume": {"fullname": "PyPartMC.AeroParticle.species_volume", "modulename": "PyPartMC", "qualname": "AeroParticle.species_volume", "kind": "function", "doc": "<p>species_volume(<em>args, *</em>kwargs)\nOverloaded function.</p>\n\n<ol>\n<li>species_volume(self: _PyPartMC.AeroParticle, arg0: int) -> float</li>\n</ol>\n\n<p>Volume of a single species in the particle (m^3).</p>\n\n<ol start=\"2\">\n<li>species_volume(self: _PyPartMC.AeroParticle, arg0: str) -> float</li>\n</ol>\n\n<p>Volume of a single species in the particle (m^3).</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.AeroParticle.dry_volume": {"fullname": "PyPartMC.AeroParticle.dry_volume", "modulename": "PyPartMC", "qualname": "AeroParticle.dry_volume", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.AeroParticle) -> float</p>\n"}, "PyPartMC.AeroParticle.radius": {"fullname": "PyPartMC.AeroParticle.radius", "modulename": "PyPartMC", "qualname": "AeroParticle.radius", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.AeroParticle) -> float</p>\n"}, "PyPartMC.AeroParticle.dry_radius": {"fullname": "PyPartMC.AeroParticle.dry_radius", "modulename": "PyPartMC", "qualname": "AeroParticle.dry_radius", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.AeroParticle) -> float</p>\n"}, "PyPartMC.AeroParticle.diameter": {"fullname": "PyPartMC.AeroParticle.diameter", "modulename": "PyPartMC", "qualname": "AeroParticle.diameter", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.AeroParticle) -> float</p>\n"}, "PyPartMC.AeroParticle.dry_diameter": {"fullname": "PyPartMC.AeroParticle.dry_diameter", "modulename": "PyPartMC", "qualname": "AeroParticle.dry_diameter", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.AeroParticle) -> float</p>\n"}, "PyPartMC.AeroParticle.mass": {"fullname": "PyPartMC.AeroParticle.mass", "modulename": "PyPartMC", "qualname": "AeroParticle.mass", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.AeroParticle) -> float</p>\n"}, "PyPartMC.AeroParticle.species_mass": {"fullname": "PyPartMC.AeroParticle.species_mass", "modulename": "PyPartMC", "qualname": "AeroParticle.species_mass", "kind": "function", "doc": "<p>species_mass(<em>args, *</em>kwargs)\nOverloaded function.</p>\n\n<ol>\n<li>species_mass(self: _PyPartMC.AeroParticle, arg0: int) -> float</li>\n</ol>\n\n<p>Mass of a single species in the particle (kg).</p>\n\n<ol start=\"2\">\n<li>species_mass(self: _PyPartMC.AeroParticle, arg0: str) -> float</li>\n</ol>\n\n<p>Mass of a single species in the particle (kg).</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.AeroParticle.species_masses": {"fullname": "PyPartMC.AeroParticle.species_masses", "modulename": "PyPartMC", "qualname": "AeroParticle.species_masses", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.AeroParticle) -> List[float]</p>\n"}, "PyPartMC.AeroParticle.solute_kappa": {"fullname": "PyPartMC.AeroParticle.solute_kappa", "modulename": "PyPartMC", "qualname": "AeroParticle.solute_kappa", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.AeroParticle) -> float</p>\n"}, "PyPartMC.AeroParticle.moles": {"fullname": "PyPartMC.AeroParticle.moles", "modulename": "PyPartMC", "qualname": "AeroParticle.moles", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.AeroParticle) -> float</p>\n"}, "PyPartMC.AeroParticle.absorb_cross_sect": {"fullname": "PyPartMC.AeroParticle.absorb_cross_sect", "modulename": "PyPartMC", "qualname": "AeroParticle.absorb_cross_sect", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.AeroParticle) -> float</p>\n"}, "PyPartMC.AeroParticle.scatter_cross_sect": {"fullname": "PyPartMC.AeroParticle.scatter_cross_sect", "modulename": "PyPartMC", "qualname": "AeroParticle.scatter_cross_sect", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.AeroParticle) -> float</p>\n"}, "PyPartMC.AeroParticle.asymmetry": {"fullname": "PyPartMC.AeroParticle.asymmetry", "modulename": "PyPartMC", "qualname": "AeroParticle.asymmetry", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.AeroParticle) -> float</p>\n"}, "PyPartMC.AeroParticle.refract_shell": {"fullname": "PyPartMC.AeroParticle.refract_shell", "modulename": "PyPartMC", "qualname": "AeroParticle.refract_shell", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.AeroParticle) -> complex</p>\n"}, "PyPartMC.AeroParticle.refract_core": {"fullname": "PyPartMC.AeroParticle.refract_core", "modulename": "PyPartMC", "qualname": "AeroParticle.refract_core", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.AeroParticle) -> complex</p>\n"}, "PyPartMC.AeroParticle.sources": {"fullname": "PyPartMC.AeroParticle.sources", "modulename": "PyPartMC", "qualname": "AeroParticle.sources", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.AeroParticle) -> List[int]</p>\n"}, "PyPartMC.AeroParticle.least_create_time": {"fullname": "PyPartMC.AeroParticle.least_create_time", "modulename": "PyPartMC", "qualname": "AeroParticle.least_create_time", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.AeroParticle) -> float</p>\n"}, "PyPartMC.AeroParticle.greatest_create_time": {"fullname": "PyPartMC.AeroParticle.greatest_create_time", "modulename": "PyPartMC", "qualname": "AeroParticle.greatest_create_time", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.AeroParticle) -> float</p>\n"}, "PyPartMC.AeroParticle.id": {"fullname": "PyPartMC.AeroParticle.id", "modulename": "PyPartMC", "qualname": "AeroParticle.id", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.AeroParticle) -> int</p>\n"}, "PyPartMC.AeroParticle.mobility_diameter": {"fullname": "PyPartMC.AeroParticle.mobility_diameter", "modulename": "PyPartMC", "qualname": "AeroParticle.mobility_diameter", "kind": "function", "doc": "<p>mobility_diameter(self: _PyPartMC.AeroParticle, arg0: EnvState) -> float</p>\n\n<p>Mobility diameter of the particle (m).</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.AeroParticle.density": {"fullname": "PyPartMC.AeroParticle.density", "modulename": "PyPartMC", "qualname": "AeroParticle.density", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.AeroParticle) -> float</p>\n"}, "PyPartMC.AeroParticle.approx_crit_rel_humid": {"fullname": "PyPartMC.AeroParticle.approx_crit_rel_humid", "modulename": "PyPartMC", "qualname": "AeroParticle.approx_crit_rel_humid", "kind": "function", "doc": "<p>approx_crit_rel_humid(self: _PyPartMC.AeroParticle, arg0: EnvState) -> float</p>\n\n<p>Returns the approximate critical relative humidity (1).</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.AeroParticle.crit_rel_humid": {"fullname": "PyPartMC.AeroParticle.crit_rel_humid", "modulename": "PyPartMC", "qualname": "AeroParticle.crit_rel_humid", "kind": "function", "doc": "<p>crit_rel_humid(self: _PyPartMC.AeroParticle, arg0: EnvState) -> float</p>\n\n<p>Returns the critical relative humidity (1).</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.AeroParticle.crit_diameter": {"fullname": "PyPartMC.AeroParticle.crit_diameter", "modulename": "PyPartMC", "qualname": "AeroParticle.crit_diameter", "kind": "function", "doc": "<p>crit_diameter(self: _PyPartMC.AeroParticle, arg0: EnvState) -> float</p>\n\n<p>Returns the critical diameter (m).</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.AeroParticle.coagulate": {"fullname": "PyPartMC.AeroParticle.coagulate", "modulename": "PyPartMC", "qualname": "AeroParticle.coagulate", "kind": "function", "doc": "<p>coagulate(self: _PyPartMC.AeroParticle, arg0: _PyPartMC.AeroParticle) -> _PyPartMC.AeroParticle</p>\n\n<p>Coagulate two particles together to make a new one. The new particle will not have its ID set.</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.AeroParticle.zero": {"fullname": "PyPartMC.AeroParticle.zero", "modulename": "PyPartMC", "qualname": "AeroParticle.zero", "kind": "function", "doc": "<p>zero(self: _PyPartMC.AeroParticle) -> None</p>\n\n<p>Resets an aero_particle to be zero.</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.AeroParticle.set_vols": {"fullname": "PyPartMC.AeroParticle.set_vols", "modulename": "PyPartMC", "qualname": "AeroParticle.set_vols", "kind": "function", "doc": "<p>set_vols(self: _PyPartMC.AeroParticle, arg0: List[float]) -> None</p>\n\n<p>Sets the aerosol particle volumes.</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.BinGrid": {"fullname": "PyPartMC.BinGrid", "modulename": "PyPartMC", "qualname": "BinGrid", "kind": "class", "doc": "<p></p>\n", "bases": "pybind11_builtins.pybind11_object"}, "PyPartMC.BinGrid.__init__": {"fullname": "PyPartMC.BinGrid.__init__", "modulename": "PyPartMC", "qualname": "BinGrid.__init__", "kind": "function", "doc": "<p>__init__(self: _PyPartMC.BinGrid, arg0: float, arg1: str, arg2: float, arg3: float) -> None</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">()</span>"}, "PyPartMC.BinGrid.edges": {"fullname": "PyPartMC.BinGrid.edges", "modulename": "PyPartMC", "qualname": "BinGrid.edges", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.BinGrid) -> List[float]</p>\n"}, "PyPartMC.BinGrid.centers": {"fullname": "PyPartMC.BinGrid.centers", "modulename": "PyPartMC", "qualname": "BinGrid.centers", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.BinGrid) -> List[float]</p>\n"}, "PyPartMC.CampCore": {"fullname": "PyPartMC.CampCore", "modulename": "PyPartMC", "qualname": "CampCore", "kind": "class", "doc": "<p>An interface between PartMC and the CAMP</p>\n", "bases": "pybind11_builtins.pybind11_object"}, "PyPartMC.CampCore.__init__": {"fullname": "PyPartMC.CampCore.__init__", "modulename": "PyPartMC", "qualname": "CampCore.__init__", "kind": "function", "doc": "<p>__init__(self: _PyPartMC.CampCore) -> None</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">()</span>"}, "PyPartMC.EnvState": {"fullname": "PyPartMC.EnvState", "modulename": "PyPartMC", "qualname": "EnvState", "kind": "class", "doc": "<p>Current environment state.</p>\n\n<p>All quantities are instantaneous, describing the state at a\nparticular instant of time. Constant data and other data not\nassociated with the current environment state is stored in\nscenario_t.</p>\n", "bases": "pybind11_builtins.pybind11_object"}, "PyPartMC.EnvState.__init__": {"fullname": "PyPartMC.EnvState.__init__", "modulename": "PyPartMC", "qualname": "EnvState.__init__", "kind": "function", "doc": "<p>__init__(self: _PyPartMC.EnvState, arg0: json) -> None</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">()</span>"}, "PyPartMC.EnvState.set_temperature": {"fullname": "PyPartMC.EnvState.set_temperature", "modulename": "PyPartMC", "qualname": "EnvState.set_temperature", "kind": "function", "doc": "<p>set_temperature(self: _PyPartMC.EnvState, arg0: float) -> None</p>\n\n<p>sets the temperature of the environment state</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.EnvState.temp": {"fullname": "PyPartMC.EnvState.temp", "modulename": "PyPartMC", "qualname": "EnvState.temp", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.EnvState) -> float</p>\n"}, "PyPartMC.EnvState.rh": {"fullname": "PyPartMC.EnvState.rh", "modulename": "PyPartMC", "qualname": "EnvState.rh", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.EnvState) -> float</p>\n"}, "PyPartMC.EnvState.elapsed_time": {"fullname": "PyPartMC.EnvState.elapsed_time", "modulename": "PyPartMC", "qualname": "EnvState.elapsed_time", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.EnvState) -> float</p>\n"}, "PyPartMC.EnvState.start_time": {"fullname": "PyPartMC.EnvState.start_time", "modulename": "PyPartMC", "qualname": "EnvState.start_time", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.EnvState) -> float</p>\n"}, "PyPartMC.EnvState.height": {"fullname": "PyPartMC.EnvState.height", "modulename": "PyPartMC", "qualname": "EnvState.height", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.EnvState) -> float</p>\n"}, "PyPartMC.EnvState.pressure": {"fullname": "PyPartMC.EnvState.pressure", "modulename": "PyPartMC", "qualname": "EnvState.pressure", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.EnvState) -> float</p>\n"}, "PyPartMC.EnvState.air_density": {"fullname": "PyPartMC.EnvState.air_density", "modulename": "PyPartMC", "qualname": "EnvState.air_density", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.EnvState) -> float</p>\n"}, "PyPartMC.EnvState.additive_kernel_coefficient": {"fullname": "PyPartMC.EnvState.additive_kernel_coefficient", "modulename": "PyPartMC", "qualname": "EnvState.additive_kernel_coefficient", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.EnvState) -> float</p>\n"}, "PyPartMC.GasData": {"fullname": "PyPartMC.GasData", "modulename": "PyPartMC", "qualname": "GasData", "kind": "class", "doc": "<p>Constant gas data.</p>\n\n<p>Each gas species is identified by an integer \\c i between 1 and\n\\c gas_data_n_spec(gas_data). Species \\c i has name \\c gas_data%%name(i).\nThe variable gas data describing the current mixing ratios is stored\nin the gas_state_t structure, so the mixing ratio of species \\c i\nis gas_state%%mix_rat(i).</p>\n", "bases": "pybind11_builtins.pybind11_object"}, "PyPartMC.GasData.__init__": {"fullname": "PyPartMC.GasData.__init__", "modulename": "PyPartMC", "qualname": "GasData.__init__", "kind": "function", "doc": "<p>__init__(self: _PyPartMC.GasData, arg0: tuple) -> None</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">()</span>"}, "PyPartMC.GasData.n_spec": {"fullname": "PyPartMC.GasData.n_spec", "modulename": "PyPartMC", "qualname": "GasData.n_spec", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.GasData) -> int</p>\n"}, "PyPartMC.GasData.spec_by_name": {"fullname": "PyPartMC.GasData.spec_by_name", "modulename": "PyPartMC", "qualname": "GasData.spec_by_name", "kind": "function", "doc": "<p>spec_by_name(self: _PyPartMC.GasData, arg0: str) -> int</p>\n\n<p>returns the number of the species in gas with the given name</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.GasData.species": {"fullname": "PyPartMC.GasData.species", "modulename": "PyPartMC", "qualname": "GasData.species", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.GasData) -> tuple</p>\n"}, "PyPartMC.GasState": {"fullname": "PyPartMC.GasState", "modulename": "PyPartMC", "qualname": "GasState", "kind": "class", "doc": "<p>Current state of the gas mixing ratios in the system.</p>\n\n<p>The gas species are defined by the gas_data_t structure, so that\n\\c gas_state%%mix_rat(i) is the current mixing ratio of the gas\nwith name \\c gas_data%%name(i), etc.</p>\n\n<p>By convention, if gas_state_is_allocated() return \\c .false.,\nthen the gas_state is treated as zero for all operations on\nit. This will be the case for new \\c gas_state_t structures.</p>\n", "bases": "pybind11_builtins.pybind11_object"}, "PyPartMC.GasState.__init__": {"fullname": "PyPartMC.GasState.__init__", "modulename": "PyPartMC", "qualname": "GasState.__init__", "kind": "function", "doc": "<p>__init__(self: _PyPartMC.GasState, arg0: _PyPartMC.GasData) -> None</p>\n\n<p>instantiates and initializes based on GasData</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">()</span>"}, "PyPartMC.GasState.n_spec": {"fullname": "PyPartMC.GasState.n_spec", "modulename": "PyPartMC", "qualname": "GasState.n_spec", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.GasState) -> int</p>\n"}, "PyPartMC.GasState.set_size": {"fullname": "PyPartMC.GasState.set_size", "modulename": "PyPartMC", "qualname": "GasState.set_size", "kind": "function", "doc": "<p>set_size(self: _PyPartMC.GasState) -> None</p>\n\n<p>sets the GasState to the size of GasData</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.GasState.mix_rat": {"fullname": "PyPartMC.GasState.mix_rat", "modulename": "PyPartMC", "qualname": "GasState.mix_rat", "kind": "function", "doc": "<p>mix_rat(self: _PyPartMC.GasState, arg0: str) -> float</p>\n\n<p>returns the mixing ratio of a gas species</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.GasState.mix_rats": {"fullname": "PyPartMC.GasState.mix_rats", "modulename": "PyPartMC", "qualname": "GasState.mix_rats", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.GasState) -> List[float]</p>\n"}, "PyPartMC.Photolysis": {"fullname": "PyPartMC.Photolysis", "modulename": "PyPartMC", "qualname": "Photolysis", "kind": "class", "doc": "<p>PartMC interface to a photolysis module</p>\n", "bases": "pybind11_builtins.pybind11_object"}, "PyPartMC.Photolysis.__init__": {"fullname": "PyPartMC.Photolysis.__init__", "modulename": "PyPartMC", "qualname": "Photolysis.__init__", "kind": "function", "doc": "<p>__init__(self: _PyPartMC.Photolysis) -> None</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">()</span>"}, "PyPartMC.RunPartOpt": {"fullname": "PyPartMC.RunPartOpt", "modulename": "PyPartMC", "qualname": "RunPartOpt", "kind": "class", "doc": "<p>Options controlling the execution of run_part().</p>\n", "bases": "pybind11_builtins.pybind11_object"}, "PyPartMC.RunPartOpt.__init__": {"fullname": "PyPartMC.RunPartOpt.__init__", "modulename": "PyPartMC", "qualname": "RunPartOpt.__init__", "kind": "function", "doc": "<p>__init__(self: _PyPartMC.RunPartOpt, arg0: json) -> None</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">()</span>"}, "PyPartMC.RunPartOpt.t_max": {"fullname": "PyPartMC.RunPartOpt.t_max", "modulename": "PyPartMC", "qualname": "RunPartOpt.t_max", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.RunPartOpt) -> float</p>\n"}, "PyPartMC.RunPartOpt.del_t": {"fullname": "PyPartMC.RunPartOpt.del_t", "modulename": "PyPartMC", "qualname": "RunPartOpt.del_t", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.RunPartOpt) -> float</p>\n"}, "PyPartMC.Scenario": {"fullname": "PyPartMC.Scenario", "modulename": "PyPartMC", "qualname": "Scenario", "kind": "class", "doc": "<p>This is everything needed to drive the scenario being simulated.</p>\n\n<p>The temperature, pressure, emissions and background states are profiles\nprescribed as functions of time by giving a number of times and\nthe corresponding data. Simple data such as temperature and pressure is\nlinearly interpolated between times, with constant interpolation\noutside of the range of times. Gases and aerosols are\ninterpolated with gas_state_interp_1d() and\naero_dist_interp_1d(), respectively.</p>\n", "bases": "pybind11_builtins.pybind11_object"}, "PyPartMC.Scenario.__init__": {"fullname": "PyPartMC.Scenario.__init__", "modulename": "PyPartMC", "qualname": "Scenario.__init__", "kind": "function", "doc": "<p>__init__(self: _PyPartMC.Scenario, arg0: _PyPartMC.GasData, arg1: _PyPartMC.AeroData, arg2: json) -> None</p>\n\n<p>instantiates and initializes from a JSON object</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">()</span>"}, "PyPartMC.Scenario.init_env_state": {"fullname": "PyPartMC.Scenario.init_env_state", "modulename": "PyPartMC", "qualname": "Scenario.init_env_state", "kind": "function", "doc": "<p>init_env_state(self: _PyPartMC.Scenario, arg0: _PyPartMC.EnvState, arg1: float) -> None</p>\n\n<p>initializes the EnvState</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.Scenario.aero_emissions": {"fullname": "PyPartMC.Scenario.aero_emissions", "modulename": "PyPartMC", "qualname": "Scenario.aero_emissions", "kind": "function", "doc": "<p>aero_emissions(self: _PyPartMC.Scenario, arg0: _PyPartMC.AeroData, arg1: int) -> AeroDist</p>\n\n<p>returns aero_emissions AeroDists at a given index</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.Scenario.aero_emissions_n_times": {"fullname": "PyPartMC.Scenario.aero_emissions_n_times", "modulename": "PyPartMC", "qualname": "Scenario.aero_emissions_n_times", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.Scenario) -> int</p>\n"}, "PyPartMC.Scenario.aero_emissions_rate_scale": {"fullname": "PyPartMC.Scenario.aero_emissions_rate_scale", "modulename": "PyPartMC", "qualname": "Scenario.aero_emissions_rate_scale", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.Scenario) -> List[float]</p>\n"}, "PyPartMC.Scenario.aero_emissions_time": {"fullname": "PyPartMC.Scenario.aero_emissions_time", "modulename": "PyPartMC", "qualname": "Scenario.aero_emissions_time", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.Scenario) -> List[float]</p>\n"}, "PyPartMC.Scenario.aero_background": {"fullname": "PyPartMC.Scenario.aero_background", "modulename": "PyPartMC", "qualname": "Scenario.aero_background", "kind": "function", "doc": "<p>aero_background(self: _PyPartMC.Scenario, arg0: _PyPartMC.AeroData, arg1: int) -> AeroDist</p>\n\n<p>returns aero_background AeroDists at a given index</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.Scenario.aero_dilution_n_times": {"fullname": "PyPartMC.Scenario.aero_dilution_n_times", "modulename": "PyPartMC", "qualname": "Scenario.aero_dilution_n_times", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.Scenario) -> int</p>\n"}, "PyPartMC.Scenario.aero_dilution_rate": {"fullname": "PyPartMC.Scenario.aero_dilution_rate", "modulename": "PyPartMC", "qualname": "Scenario.aero_dilution_rate", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.Scenario) -> List[float]</p>\n"}, "PyPartMC.Scenario.aero_dilution_time": {"fullname": "PyPartMC.Scenario.aero_dilution_time", "modulename": "PyPartMC", "qualname": "Scenario.aero_dilution_time", "kind": "variable", "doc": "<p>(arg0: _PyPartMC.Scenario) -> List[float]</p>\n"}, "PyPartMC.condense_equilib_particles": {"fullname": "PyPartMC.condense_equilib_particles", "modulename": "PyPartMC", "qualname": "condense_equilib_particles", "kind": "function", "doc": "<p>condense_equilib_particles(arg0: EnvState, arg1: AeroData, arg2: AeroState) -> None</p>\n\n<p>Call condense_equilib_particle() on each particle in the aerosol\nto ensure that every particle has its water content in\nequilibrium.</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.run_part": {"fullname": "PyPartMC.run_part", "modulename": "PyPartMC", "qualname": "run_part", "kind": "function", "doc": "<p>run_part(arg0: Scenario, arg1: EnvState, arg2: AeroData, arg3: AeroState, arg4: GasData, arg5: GasState, arg6: RunPartOpt, arg7: CampCore, arg8: Photolysis) -> None</p>\n\n<p>Do a particle-resolved Monte Carlo simulation.</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.run_part_timeblock": {"fullname": "PyPartMC.run_part_timeblock", "modulename": "PyPartMC", "qualname": "run_part_timeblock", "kind": "function", "doc": "<p>run_part_timeblock(arg0: Scenario, arg1: EnvState, arg2: AeroData, arg3: AeroState, arg4: GasData, arg5: GasState, arg6: RunPartOpt, arg7: CampCore, arg8: Photolysis, arg9: int, arg10: int, arg11: float, arg12: float, arg13: float, arg14: int) -> Tuple[float, float, int]</p>\n\n<p>Do a time block</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.run_part_timestep": {"fullname": "PyPartMC.run_part_timestep", "modulename": "PyPartMC", "qualname": "run_part_timestep", "kind": "function", "doc": "<p>run_part_timestep(arg0: Scenario, arg1: EnvState, arg2: AeroData, arg3: AeroState, arg4: GasData, arg5: GasState, arg6: RunPartOpt, arg7: CampCore, arg8: Photolysis, arg9: int, arg10: float, arg11: float, arg12: float, arg13: int) -> Tuple[float, float, int]</p>\n\n<p>Do a single time step</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.pow2_above": {"fullname": "PyPartMC.pow2_above", "modulename": "PyPartMC", "qualname": "pow2_above", "kind": "function", "doc": "<p>pow2_above(arg0: int) -> int</p>\n\n<p>Return the least power-of-2 that is at least equal to n.</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.condense_equilib_particle": {"fullname": "PyPartMC.condense_equilib_particle", "modulename": "PyPartMC", "qualname": "condense_equilib_particle", "kind": "function", "doc": "<p>condense_equilib_particle(arg0: EnvState, arg1: AeroData, arg2: AeroParticle) -> None</p>\n\n<p>Determine the water equilibrium state of a single particle.</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.histogram_1d": {"fullname": "PyPartMC.histogram_1d", "modulename": "PyPartMC", "qualname": "histogram_1d", "kind": "function", "doc": "<p>histogram_1d(arg0: _PyPartMC.BinGrid, arg1: List[float], arg2: List[float]) -> List[float]</p>\n\n<p>Return a 1D histogram with of the given weighted data, scaled by the bin sizes.</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.histogram_2d": {"fullname": "PyPartMC.histogram_2d", "modulename": "PyPartMC", "qualname": "histogram_2d", "kind": "function", "doc": "<p>histogram_2d(arg0: _PyPartMC.BinGrid, arg1: List[float], arg2: _PyPartMC.BinGrid, arg3: List[float], arg4: List[float]) -> List[List[float]]</p>\n\n<p>Return a 2D histogram with of the given weighted data, scaled by the bin sizes.</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.sphere_vol2rad": {"fullname": "PyPartMC.sphere_vol2rad", "modulename": "PyPartMC", "qualname": "sphere_vol2rad", "kind": "function", "doc": "<p>sphere_vol2rad(arg0: float) -> float</p>\n\n<p>Convert mass-equivalent volume (m^3) to geometric radius (m) for spherical particles.</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.rad2diam": {"fullname": "PyPartMC.rad2diam", "modulename": "PyPartMC", "qualname": "rad2diam", "kind": "function", "doc": "<p>rad2diam(arg0: float) -> float</p>\n\n<p>Convert radius (m) to diameter (m).</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.sphere_rad2vol": {"fullname": "PyPartMC.sphere_rad2vol", "modulename": "PyPartMC", "qualname": "sphere_rad2vol", "kind": "function", "doc": "<p>sphere_rad2vol(arg0: float) -> float</p>\n\n<p>Convert geometric radius (m) to mass-equivalent volume for spherical particles.</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.diam2rad": {"fullname": "PyPartMC.diam2rad", "modulename": "PyPartMC", "qualname": "diam2rad", "kind": "function", "doc": "<p>diam2rad(arg0: float) -> float</p>\n\n<p>Convert diameter (m) to radius (m).</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.loss_rate_dry_dep": {"fullname": "PyPartMC.loss_rate_dry_dep", "modulename": "PyPartMC", "qualname": "loss_rate_dry_dep", "kind": "function", "doc": "<p>loss_rate_dry_dep(arg0: float, arg1: float, arg2: _PyPartMC.AeroData, arg3: _PyPartMC.EnvState) -> float</p>\n\n<p>Compute and return the dry deposition rate for a given particle.</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.loss_rate": {"fullname": "PyPartMC.loss_rate", "modulename": "PyPartMC", "qualname": "loss_rate", "kind": "function", "doc": "<p>loss_rate(arg0: _PyPartMC.Scenario, arg1: float, arg2: float, arg3: _PyPartMC.AeroData, arg4: _PyPartMC.EnvState) -> float</p>\n\n<p>Evaluate a loss rate function.</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.output_state": {"fullname": "PyPartMC.output_state", "modulename": "PyPartMC", "qualname": "output_state", "kind": "function", "doc": "<p>output_state(arg0: str, arg1: _PyPartMC.AeroData, arg2: _PyPartMC.AeroState, arg3: _PyPartMC.GasData, arg4: _PyPartMC.GasState, arg5: _PyPartMC.EnvState) -> None</p>\n\n<p>Output current state to netCDF file.</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.input_state": {"fullname": "PyPartMC.input_state", "modulename": "PyPartMC", "qualname": "input_state", "kind": "function", "doc": "<p>input_state(arg0: str) -> Tuple[_PyPartMC.AeroData, _PyPartMC.AeroState, _PyPartMC.GasData, _PyPartMC.GasState, _PyPartMC.EnvState]</p>\n\n<p>Read current state from netCDF output file.</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.rand_init": {"fullname": "PyPartMC.rand_init", "modulename": "PyPartMC", "qualname": "rand_init", "kind": "function", "doc": "<p>rand_init(arg0: int) -> None</p>\n\n<p>Initializes the random number generator to the state defined by the given seed. If the seed is 0 then a seed is auto-generated from the current time</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.rand_normal": {"fullname": "PyPartMC.rand_normal", "modulename": "PyPartMC", "qualname": "rand_normal", "kind": "function", "doc": "<p>rand_normal(arg0: float, arg1: float) -> float</p>\n\n<p>Generates a normally distributed random number with the given mean and standard deviation</p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">unknown</span></span><span class=\"return-annotation\">):</span></span>", "funcdef": "def"}, "PyPartMC.si": {"fullname": "PyPartMC.si", "modulename": "PyPartMC", "qualname": "si", "kind": "variable", "doc": "<p>a utility namedtuple aimed at clrifying physics-related code by providing\nSI-prefix-aware unit multipliers, resulting in e.g.: <code>p = 1000 * si.hPa</code>\nnotation. Note: no dimensional analysis is done!</p>\n", "default_value": "SI(Tm=1000000000000.0, Tg=1000000000.0, Ts=1000000000000.0, TK=1000000000000.0, TPa=1000000000000.0, Tmol=1000000000000.0, TW=1000000000000.0, TJ=1000000000000.0, TN=1000000000000.0, Gm=1000000000.0, Gg=1000000.0, Gs=1000000000.0, GK=1000000000.0, GPa=1000000000.0, Gmol=1000000000.0, GW=1000000000.0, GJ=1000000000.0, GN=1000000000.0, Mm=1000000.0, Mg=1000.0, Ms=1000000.0, MK=1000000.0, MPa=1000000.0, Mmol=1000000.0, MW=1000000.0, MJ=1000000.0, MN=1000000.0, km=1000.0, kg=1.0, ks=1000.0, kK=1000.0, kPa=1000.0, kmol=1000.0, kW=1000.0, kJ=1000.0, kN=1000.0, hm=100.0, hg=0.1, hs=100.0, hK=100.0, hPa=100.0, hmol=100.0, hW=100.0, hJ=100.0, hN=100.0, dam=10.0, dag=0.01, das=10.0, daK=10.0, daPa=10.0, damol=10.0, daW=10.0, daJ=10.0, daN=10.0, m=1.0, g=0.001, s=1.0, K=1.0, Pa=1.0, mol=1.0, W=1.0, J=1.0, N=1.0, dm=0.1, dg=0.0001, ds=0.1, dK=0.1, dPa=0.1, dmol=0.1, dW=0.1, dJ=0.1, dN=0.1, cm=0.01, cg=1e-05, cs=0.01, cK=0.01, cPa=0.01, cmol=0.01, cW=0.01, cJ=0.01, cN=0.01, mm=0.001, mg=1e-06, ms=0.001, mK=0.001, mPa=0.001, mmol=0.001, mW=0.001, mJ=0.001, mN=0.001, um=1e-06, ug=1e-09, us=1e-06, uK=1e-06, uPa=1e-06, umol=1e-06, uW=1e-06, uJ=1e-06, uN=1e-06, nm=1e-09, ng=1.0000000000000002e-12, ns=1e-09, nK=1e-09, nPa=1e-09, nmol=1e-09, nW=1e-09, nJ=1e-09, nN=1e-09, pm=1e-12, pg=1e-15, ps=1e-12, pK=1e-12, pPa=1e-12, pmol=1e-12, pW=1e-12, pJ=1e-12, pN=1e-12)"}}, "docInfo": {"PyPartMC": {"qualname": 0, "fullname": 1, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 5636}, "PyPartMC.AeroData": {"qualname": 1, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 167}, "PyPartMC.AeroData.__init__": {"qualname": 3, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 4, "bases": 0, "doc": 11}, "PyPartMC.AeroData.spec_by_name": {"qualname": 4, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 26}, "PyPartMC.AeroData.n_source": {"qualname": 3, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 8}, "PyPartMC.AeroData.sources": {"qualname": 2, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 8}, "PyPartMC.AeroData.frac_dim": {"qualname": 3, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 8}, "PyPartMC.AeroData.vol_fill_factor": {"qualname": 4, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 8}, "PyPartMC.AeroData.prime_radius": {"qualname": 3, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 8}, "PyPartMC.AeroData.densities": {"qualname": 2, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 8}, "PyPartMC.AeroData.kappa": {"qualname": 2, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 8}, "PyPartMC.AeroData.molecular_weights": {"qualname": 3, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 8}, "PyPartMC.AeroData.density": {"qualname": 2, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 18}, "PyPartMC.AeroData.rad2vol": {"qualname": 2, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 22}, "PyPartMC.AeroData.vol2rad": {"qualname": 2, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 22}, "PyPartMC.AeroData.diam2vol": {"qualname": 2, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 22}, "PyPartMC.AeroData.vol2diam": {"qualname": 2, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 22}, "PyPartMC.AeroData.species": {"qualname": 2, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 8}, "PyPartMC.AeroDist": {"qualname": 1, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "PyPartMC.AeroDist.__init__": {"qualname": 3, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 4, "bases": 0, "doc": 14}, "PyPartMC.AeroDist.n_mode": {"qualname": 3, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 8}, "PyPartMC.AeroDist.num_conc": {"qualname": 3, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 8}, "PyPartMC.AeroDist.mode": {"qualname": 2, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 20}, "PyPartMC.AeroMode": {"qualname": 1, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "PyPartMC.AeroMode.__init__": {"qualname": 3, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 4, "bases": 0, "doc": 14}, "PyPartMC.AeroMode.num_conc": {"qualname": 3, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 8}, "PyPartMC.AeroMode.num_dist": {"qualname": 3, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 25}, "PyPartMC.AeroMode.vol_frac": {"qualname": 3, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 8}, "PyPartMC.AeroMode.vol_frac_std": {"qualname": 4, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 8}, "PyPartMC.AeroMode.char_radius": {"qualname": 3, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 8}, "PyPartMC.AeroMode.gsd": {"qualname": 2, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 8}, "PyPartMC.AeroMode.set_sample": {"qualname": 3, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 13}, "PyPartMC.AeroMode.sample_num_conc": {"qualname": 4, "fullname": 5, "annotation": 0, "default_value": 0, 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{"tf": 1}, "PyPartMC.AeroData.vol2diam": {"tf": 1}, "PyPartMC.sphere_vol2rad": {"tf": 1}, "PyPartMC.sphere_rad2vol": {"tf": 1}}, "df": 7}}}}}}, "p": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "s": {"docs": {"PyPartMC": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "t": {"docs": {"PyPartMC": {"tf": 1}}, "df": 1}}, "t": {"docs": {"PyPartMC": {"tf": 4.58257569495584}}, "df": 1}, "a": {"docs": {}, "df": 0, "s": {"docs": {"PyPartMC": {"tf": 1}, "PyPartMC.GasData": {"tf": 2.8284271247461903}, "PyPartMC.GasData.spec_by_name": {"tf": 1}, "PyPartMC.GasState": {"tf": 3}, "PyPartMC.GasState.mix_rat": {"tf": 1}, "PyPartMC.Scenario": {"tf": 1}}, "df": 6, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"PyPartMC.GasData.__init__": {"tf": 1}, "PyPartMC.GasData.n_spec": {"tf": 1}, "PyPartMC.GasData.spec_by_name": {"tf": 1}, "PyPartMC.GasData.species": {"tf": 1}, "PyPartMC.GasState.__init__": {"tf": 1.4142135623730951}, 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"df": 0, "n": {"docs": {"PyPartMC": {"tf": 1}}, "df": 1}}}, "docs": {}, "df": 0}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"PyPartMC": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {"PyPartMC.AeroState": {"tf": 1}}, "df": 1}}}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "s": {"docs": {"PyPartMC.AeroParticle.species_volume": {"tf": 1}, "PyPartMC.AeroParticle.species_mass": {"tf": 1}}, "df": 2}}}}}}, "q": {"docs": {"PyPartMC": {"tf": 2.23606797749979}}, "df": 1, "u": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"PyPartMC": {"tf": 12.409673645990857}}, "df": 1}}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"PyPartMC": {"tf": 1}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"PyPartMC.AeroData": {"tf": 1}, "PyPartMC.EnvState": {"tf": 1}}, "df": 2}}}}}}}}}}, "z": {"docs": {"PyPartMC": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {"PyPartMC": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {"PyPartMC.AeroState.make_dry": {"tf": 1}, "PyPartMC.AeroState.zero": {"tf": 1}, "PyPartMC.AeroParticle.zero": {"tf": 1.4142135623730951}, "PyPartMC.GasState": {"tf": 1}}, "df": 4}}}}}}}, "pipeline": ["trimmer"], "_isPrebuiltIndex": true};
// mirrored in build-search-index.js (part 1)
// Also split on html tags. this is a cheap heuristic, but good enough.
elasticlunr.tokenizer.setSeperator(/[\s\-.;&_'"=,()]+|<[^>]*>/);
let searchIndex;
if (docs._isPrebuiltIndex) {
console.info("using precompiled search index");
searchIndex = elasticlunr.Index.load(docs);
} else {
console.time("building search index");
// mirrored in build-search-index.js (part 2)
searchIndex = elasticlunr(function () {
this.pipeline.remove(elasticlunr.stemmer);
this.pipeline.remove(elasticlunr.stopWordFilter);
this.addField("qualname");
this.addField("fullname");
this.addField("annotation");
this.addField("default_value");
this.addField("signature");
this.addField("bases");
this.addField("doc");
this.setRef("fullname");
});
for (let doc of docs) {
searchIndex.addDoc(doc);
}
console.timeEnd("building search index");
}
return (term) => searchIndex.search(term, {
fields: {
qualname: {boost: 4},
fullname: {boost: 2},
annotation: {boost: 2},
default_value: {boost: 2},
signature: {boost: 2},
bases: {boost: 2},
doc: {boost: 1},
},
expand: true
});
})();