{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "import scipy.integrate\n",
    "import numpy\n",
    "import matplotlib.pyplot\n",
    "import os\n",
    "import json\n",
    "import scipy.interpolate\n",
    "#for partial specialization\n",
    "import cModel\n",
    "import importlib\n",
    "importlib.reload(cModel)\n",
    "import time\n",
    "import ivp\n",
    "importlib.reload(ivp)\n",
    "import runSolver\n",
    "importlib.reload(runSolver)\n",
    "import nixWrapper\n",
    "import operator\n",
    "\n",
    "def getModel(obj):\n",
    "    Q=obj['solution']\n",
    "    model=cModel.model()\n",
    "    setup=Q['setup']\n",
    "    modelFile=Q['model']\n",
    "    parameterFile=Q['parameters']\n",
    "    print('modelFile: {} {}'.format(modelFile,os.path.isfile(modelFile)))\n",
    "    print('parameterFile: {} {}'.format(parameterFile,os.path.isfile(parameterFile)))\n",
    "    model.parse(modelFile,parameterFile)\n",
    "    return model\n",
    "\n",
    "def getSetup(obj):\n",
    "    Q=obj['solution']\n",
    "    print(Q['setup'])\n",
    "    return runSolver.parseSetup(Q['setup'])\n",
    "\n",
    "def getSum(obj):\n",
    "    \n",
    "    model=getModel(obj)\n",
    "    Q=obj['solution']\n",
    "    lut=Q['lut']\n",
    "    total=Q['sol'][-1,lut['total']]\n",
    "    #print(total)\n",
    "    fQ={}\n",
    "    for x in lut:\n",
    "        if x=='total':\n",
    "            continue\n",
    "        j=lut[x]\n",
    "        try:\n",
    "            v=model.get(model.mod['volumes'][x])['value']\n",
    "            fQ[x]=Q['sol'][-1,j]*v/total\n",
    "        except KeyError:\n",
    "            #print('{} {}'.format(x,x in model.mod['scaled']))\n",
    "            fQ[x]=Q['sol'][-1,j]\n",
    "    print(sum(list(fQ.values())))\n",
    "    print(sorted(fQ.items(), key=lambda item:item[1]))\n",
    "\n",
    "def mergeSolution(qSol,qobj):\n",
    "    #drop first element and concatenate\n",
    "    qSol['t']=numpy.concatenate((qSol['t'],qobj['t'][1:]),axis=0)\n",
    "    qSol['sol']=numpy.concatenate((qSol['sol'],qobj['sol'][1:,:]),axis=0)\n",
    "    qSol['se']=numpy.concatenate((qSol['se'],qobj['se'][1:,:]),axis=0)\n",
    "    qSol['sOut']=numpy.concatenate((qSol['sOut'],qobj['sOut'][1:,:,:]),axis=0)\n",
    "    return qSol\n",
    "\n",
    "def getStartPointFromSolution(model,obj):\n",
    "    qData={'lut':model.lut,'lutSE':model.lutSE}\n",
    "    fields=['se','sol','sOut','t']\n",
    "    for f in fields:\n",
    "        qData[f]=obj['solution'][f]\n",
    "    #setup['stride']={\"length\":10,\"tUnit\":\"day\"}\n",
    "    return runSolver.startPointObject(qData)\n",
    "\n",
    "def getModelPath():\n",
    "    fh=os.path.expanduser('~')\n",
    "    return os.path.join(fh,'software','src','PBPK_public','models')\n",
    "\n",
    "def getSetupPath():\n",
    "    fh=os.path.expanduser('~')\n",
    "    return os.path.join(fh,'software','src','PBPK_public','setup')    \n",
    "\n",
    "def setObj(modelName):\n",
    "    obj={}\n",
    "    obj['modelFile']=os.path.join(getModelPath(),f'{modelName}.json')\n",
    "    obj['parameterFile']=os.path.join(getModelPath(),f'{modelName}_parameters.json')\n",
    "    return obj\n",
    "    \n",
    "def getStartPointFromSolution(obj):\n",
    "    model=getModel(obj)\n",
    "    qData={'lut':model.lut,'lutSE':model.lutSE}\n",
    "    fields=['se','sol','sOut','t']\n",
    "    for f in fields:\n",
    "        qData[f]=obj['solution'][f]\n",
    "    return runSolver.startPointObject(qData)\n",
    "    \n",
    "def convertToTargetUnit(tMinutes,targetUnit):\n",
    "    if targetUnit==\"min\":\n",
    "        return tMinutes\n",
    "    if targetUnit==\"day\":\n",
    "        return tMinutes/1440\n",
    "    if targetUnit==\"hour\":\n",
    "        return tMinutes/60\n",
    "    if targetUnit==\"month\":\n",
    "        return tMinutes/1440/30\n",
    "    if targetUnit==\"year\":\n",
    "        return tMinutes/1440/365\n",
    "    return tMinutes\n",
    "\n",
    "def run(pars):\n",
    "    #create a trivial start point in case none was supplied\n",
    "    defaultStartPoint={'t0':0,'y0':numpy.array([]),'s0':numpy.array([]),'lut':[],'lutSE':[]}\n",
    "\n",
    "    \n",
    "    modelName=pars.get('modelName','cDiazepam')\n",
    "    setup=pars.get('setup','setupDayMatrix.json')\n",
    "    tmax=pars.get('tmax',1)\n",
    "    updatePars=pars.get('updatePars',[])\n",
    "    startPoint=pars.get('startPoint',defaultStartPoint)\n",
    "    \n",
    "    obj=setObj(modelName)\n",
    "    model=cModel.model()\n",
    "    model.parse(obj['modelFile'],obj['parameterFile'])#change setup\n",
    "    for p in updatePars[:-1]:\n",
    "        setParameter(model,p)\n",
    "    #only apply with the last parameter value\n",
    "    for p in updatePars[-1:]:\n",
    "        setParameter(model,p,apply=True)\n",
    "        \n",
    "    \n",
    "    setup=runSolver.parseSetup(os.path.join(getSetupPath(),setup))\n",
    "    setup['useStored']=False\n",
    "    setup['nt']=201\n",
    "    setup['method']='derivative'\n",
    "    setup['tmax']=tmax\n",
    "\n",
    "    t0=startPoint['t0']#minutes\n",
    "    \n",
    "    setup['stride']['length']=tmax-convertToTargetUnit(t0,setup['stride']['tUnit'])\n",
    "    \n",
    "    #somewhere to put the output\n",
    "    fh=os.path.expanduser('~')\n",
    "    jobDir=os.path.join(fh,'temp',modelName)\n",
    "\n",
    "    if not os.path.isdir(jobDir):\n",
    "        os.mkdir(jobDir)\n",
    "                               \n",
    "\n",
    "    #solve\n",
    "    t,sol,sOut=runSolver.solve(model,setup,startPoint,jobDir)\n",
    "    #dump\n",
    "    runSolver.writeSetup(jobDir,setup,obj['modelFile'],obj['parameterFile'])\n",
    "\n",
    "    #create a start point from solution (back read)\n",
    "    obj['solution']=runSolver.loadSolutionFromDir(jobDir,True)\n",
    "    #this is the object that can be used in getModel/getSum\n",
    "    return obj\n",
    "\n",
    "def runSeries(parsArray):\n",
    "    startPoint=None\n",
    "    objReturn=None\n",
    "    for pars in parsArray:\n",
    "        if startPoint!=None:\n",
    "            pars['startPoint']=startPoint\n",
    "        obj=run(pars)\n",
    "        startPoint=getStartPointFromSolution(obj)\n",
    "        if objReturn==None:\n",
    "            objReturn=obj\n",
    "            continue\n",
    "        objReturn['solution']=mergeSolution(objReturn['solution'],obj['solution'])\n",
    "    return objReturn\n",
    "\n",
    "#change parameter\n",
    "def setParameter(model,var,apply=False):\n",
    "    parName=var['name']\n",
    "    p=model.getParameter(parName)\n",
    "    oldValue=p['value']\n",
    "    newValue=var['value']\n",
    "    p['value']=newValue\n",
    "    cv=var.get('cv',p.get('cv',0))\n",
    "    p['cv']=cv\n",
    "    print(f'Changing {parName} {oldValue}->{newValue}/{cv}')\n",
    "    if not apply:\n",
    "        return\n",
    "    #do only once\n",
    "    model.applyValues()\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Changing venousInput 300000.0->300000.0/0.0\n",
      "sIn (0,)\n",
      "t0 0 tmax 2.0\n",
      "Step required _step000\n",
      "Time: 0.238 s\n",
      "Completed step _step000\n",
      "Completed run\n",
      "(201, 16, 3)\n",
      "Written /home/studen/temp/cDiazepam/setup.json\n",
      "Written /home/studen/temp/cDiazepam/model.json\n",
      "Written /home/studen/temp/cDiazepam/parameters.json\n",
      "t0 0 tmax 2.0\n",
      "Parsing [1/1]\n",
      "modelFile: /home/studen/temp/cDiazepam/model.json True\n",
      "parameterFile: /home/studen/temp/cDiazepam/parameters.json True\n",
      "Changing venousInput 300000.0->0/0.25\n",
      "sIn (16, 3)\n",
      "t0 2.0 tmax 250.0\n",
      "Step required _step000\n",
      "Time: 0.176 s\n",
      "Completed step _step000\n",
      "Completed run\n",
      "(201, 16, 3)\n",
      "Written /home/studen/temp/cDiazepam/setup.json\n",
      "Written /home/studen/temp/cDiazepam/model.json\n",
      "Written /home/studen/temp/cDiazepam/parameters.json\n",
      "t0 2.0 tmax 250.0\n",
      "Parsing [1/1]\n",
      "modelFile: /home/studen/temp/cDiazepam/model.json True\n",
      "parameterFile: /home/studen/temp/cDiazepam/parameters.json True\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x2000 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "pars={'modelName':'cDiazepam','setup':'setupMinuteMatrix.json','tmax':2,\n",
    "      'updatePars':[{'name':'venousInput','value':0.3e6,'cv':0.0}]\n",
    "     }\n",
    "pars1={'modelName':'cDiazepam','setup':'setupMinuteMatrix.json','tmax':250,\n",
    "      'updatePars':[{'name':'venousInput','value':0,'cv':0.25}]\n",
    "     }\n",
    "\n",
    "\n",
    "obj=runSeries([pars,pars1])\n",
    "tscale=runSolver.getScale(obj['solution']['setup'])\n",
    "data={pars['modelName']:obj}\n",
    "\n",
    "    #\"adipose\",\"brain\",\"heart\",\"kidney\",\"liver\",\n",
    "    #  \"splanchnic\",\"stomach\",\"muscle\",\"skin\",\"testes\",\"remainder\",\"lung\",\n",
    "    #  \"excrement\",\"arterial\",\"venous\"\n",
    "name=['arterial','adipose','brain',\n",
    "      'heart','kidney','liver',\n",
    "      'lung','muscle','skin',\n",
    "     'splanchnic','stomach','testes'\n",
    "      ]\n",
    "\n",
    "max=[-1]*len(name)\n",
    "models={}\n",
    "models[pars['modelName']]={'color':'orange','shadeColor':'red'}\n",
    "#models[modelName1]={'color':'black','shadeColor':'green'}\n",
    "\n",
    "#range for plotting\n",
    "tX=obj['solution']['t']\n",
    "delta=0.05*(tX[-1]-tX[0])/tscale\n",
    "t0=tX[0]/tscale-delta\n",
    "t1=tX[-1]/tscale+delta\n",
    "\n",
    "fConv={}\n",
    "\n",
    "fig, axs = matplotlib.pyplot.subplots(4, 3,figsize=(15,20))\n",
    "\n",
    "for i in range(len(name)):\n",
    "    row=i//3\n",
    "    col=i%3\n",
    "    ax=axs[row,col]\n",
    "    v=name[i]\n",
    "    for m in data:\n",
    "        fM=models[m]\n",
    "        Q=data[m]['solution']\n",
    "        iLutSE={Q['lutSE'][v]:v for v in Q['lutSE']}\n",
    "        try:\n",
    "            j=Q['lut'][v]\n",
    "        except KeyError:\n",
    "            try:\n",
    "                v1=alias[v]\n",
    "            except KeyError:\n",
    "                print('No data for {}'.format(v))\n",
    "                continue    \n",
    "            try:\n",
    "                j=Q['lut'][v1]\n",
    "            except KeyError:\n",
    "                print('No data for {}/{}'.format(v,v1))\n",
    "                continue    \n",
    "                \n",
    "        t=Q['t']\n",
    "        tDraw=t/tscale\n",
    "        fy=Q['sol'][:,j]\n",
    "        \n",
    "        fe=Q['se'][:,j]\n",
    "        var=fe[-1]*fe[-1]\n",
    "        #(m,)\n",
    "        s=Q['sOut'][-1,j,:]\n",
    "        #(m,)\n",
    "        S2=s*s\n",
    "        idx=[ii for ii in range(len(S2)) if S2[ii]>0.1*var]\n",
    "        labels=[iLutSE[ii] for ii in idx]\n",
    "        fConvScale=fConv.get(v,1)\n",
    "                \n",
    "        ax.plot(tDraw,fy*fConvScale,color=fM['color'])\n",
    "       \n",
    "        ax.fill_between(tDraw, fConvScale*(fy-fe), fConvScale*(fy + fe), color=fM['shadeColor'],alpha=0.1)\n",
    "        ax.plot(tDraw,fConvScale*(fy-fe),color=fM['shadeColor'],linewidth=1,alpha=0.2)\n",
    "        ax.plot(tDraw,fConvScale*(fy+fe),color=fM['shadeColor'],linewidth=1,alpha=0.2)\n",
    "        setup=Q['setup']\n",
    "            \n",
    "    y0,y1=axs[row,col].get_ylim()\n",
    "    if y0>0:\n",
    "        axs[row,col].set_ylim([0,y1])\n",
    "    axs[row,col].set_xlim([t0,t1])\n",
    "    axs[row,col].set_xlabel(setup['tUnit'])\n",
    "    axs[row,col].set_title(name[i])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 229,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[{'lut': 'kKU:IPaper', 'w': np.float64(0.0004621123430091663)}, {'lut': 'dBLPaper', 'w': np.float64(0.0003485100939924997)}, {'lut': 'slowlyPerfusedPCblood', 'w': np.float64(0.00021747866779131292)}, {'lut': 'kLB:IPaper', 'w': np.float64(0.0001490614498149119)}, {'lut': 'kLF:IPaper', 'w': np.float64(0.0001490576539102368)}, {'lut': 'kBK:IPaper', 'w': np.float64(0.00012834819960852673)}, {'lut': 'kBF:IPaper', 'w': np.float64(0.00012266236486191076)}, {'lut': 'slowlyPerfusedVolumeFraction', 'w': np.float64(0.00011499831195018843)}, {'lut': 'plasmaVolumeFraction', 'w': np.float64(0.00011099318184597263)}, {'lut': 'liverOutFlowFraction', 'w': np.float64(4.218887939490515e-05)}, {'lut': 'liverPCblood', 'w': np.float64(4.218887939487341e-05)}, {'lut': 'gutFlowFraction', 'w': np.float64(3.682809368792695e-05)}, {'lut': 'liverVolumeFraction', 'w': np.float64(3.35027349042369e-05)}, {'lut': 'kFScaled', 'w': np.float64(3.317220398381948e-05)}, {'lut': 'richlyPerfusedVolumeFraction', 'w': np.float64(3.080538588739404e-05)}, {'lut': 'richlyPerfusedPCblood', 'w': np.float64(3.080538588722142e-05)}, {'lut': 'kRScaled', 'w': np.float64(2.776706107374694e-05)}, {'lut': 'brainBloodPCplasma', 'w': np.float64(1.8396421084072258e-05)}, {'lut': 'brainPCblood', 'w': np.float64(1.8006731018455746e-05)}, {'lut': 'brainVolumeFraction', 'w': np.float64(1.8006731018448492e-05)}, {'lut': 'fatPCblood', 'w': np.float64(1.2614752731242007e-05)}, {'lut': 'kBU:IPaper', 'w': np.float64(1.2548343700174735e-05)}, {'lut': 'gutPCblood', 'w': np.float64(1.2292519702933983e-05)}, {'lut': 'fatVolumeFraction', 'w': np.float64(1.0091802184964853e-05)}, {'lut': 'liverInFlowFraction', 'w': np.float64(9.083931908493686e-06)}, {'lut': 'kKB:IPaper', 'w': np.float64(8.144952000209821e-06)}, {'lut': 'intestineVolumeFraction', 'w': np.float64(7.101168033804664e-06)}, {'lut': 'kidneyPCblood', 'w': np.float64(4.928893780396797e-06)}, {'lut': 'kidneyVolumeFraction', 'w': np.float64(4.928893780307352e-06)}, {'lut': 'rbcPCplasma', 'w': np.float64(4.899196094469907e-06)}, {'lut': 'kBRScaled', 'w': np.float64(4.561540720841657e-06)}, {'lut': 'kBScaled', 'w': np.float64(4.345003469600191e-06)}, {'lut': 'kBH:IPaper', 'w': np.float64(4.302109647685827e-06)}, {'lut': 'kHScaled', 'w': np.float64(4.2689370882770625e-06)}, {'lut': 'gutVolumeFraction', 'w': np.float64(2.634111364908119e-06)}, {'lut': 'slowlyPerfusedFlowFraction', 'w': np.float64(1.9154992275686987e-06)}, {'lut': 'cardiacOutputScaled', 'w': np.float64(1.0370754038120658e-06)}, {'lut': 'redBloodCellsVolumeFraction', 'w': np.float64(3.1197969674007643e-07)}, {'lut': 'brainBloodVolumeFraction', 'w': np.float64(2.7757610544980767e-07)}, {'lut': 'bodyWeight', 'w': np.float64(1.0907561048473216e-07)}, {'lut': 'brainBloodFlowFraction', 'w': np.float64(8.092953548467617e-08)}, {'lut': 'richlyPerfusedFlowFraction', 'w': np.float64(5.490842880670148e-08)}, {'lut': 'kRBCScaled', 'w': np.float64(3.3983810755670605e-08)}, {'lut': 'fatFlowFraction', 'w': np.float64(3.230836203087923e-08)}, {'lut': 'kBBr:IPaper', 'w': np.float64(2.8820594071526572e-08)}, {'lut': 'kBrB:IPaper', 'w': np.float64(2.1617972415888892e-08)}, {'lut': 'kidneyFlowFraction', 'w': np.float64(1.478056226719501e-09)}]\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1500x1000 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "obj=data[modelName]\n",
    "\n",
    "t=obj['solution']['t']\n",
    "fig, axs = matplotlib.pyplot.subplots(2, 3,figsize=(15,10))\n",
    "lutSE=obj['solution']['lutSE']\n",
    "lut=obj['solution']['lut']\n",
    "j=lut['urine']\n",
    "\n",
    "order=[]\n",
    "for c in lutSE:\n",
    "    k=lutSE[c]\n",
    "    fy=obj['solution']['sOut'][:,j,k]\n",
    "    m=numpy.min(fy)\n",
    "    M=numpy.max(fy)\n",
    "    order.append({'lut':c,'w':M-m})\n",
    "\n",
    "order=sorted(order,key=operator.itemgetter('w'),reverse=True)\n",
    "print(order)\n",
    "\n",
    "for c in lutSE:\n",
    "    continue\n",
    "    fr=int (i/3)\n",
    "    fc=i % 3\n",
    "    #ax=axs[fr,fc]\n",
    "\n",
    "    k=lutSE[c]\n",
    "    fy=obj['solution']['sOut'][:,j,k]\n",
    "    m=numpy.min(fy)\n",
    "    M=numpy.max(fy)\n",
    "    \n",
    "    #print(sOut.shape)\n",
    "    #continue\n",
    "        \n",
    "    ax.plot(t/tscale,fy)\n",
    "    #ax.fill_between(t/tscale, fy-fe, fy + fe, color='red',alpha=0.1)\n",
    "    #ax.plot(t/tscale,fy-fe,color='red',linewidth=1,alpha=0.2)\n",
    "    #ax.plot(t/tscale,fy+fe,color='red',linewidth=1,alpha=0.2)\n",
    "    #ax.set_title(c)\n",
    "    i+=1\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "model=getModel(data,'humanHG')\n",
    "tscale=runSolver.getScale(data['humanHG']['solution']['setup'])\n",
    "\n",
    "model.inspect()    \n",
    "\n",
    "print(\"***********done************\")\n",
    "print(model.M(1).shape)\n",
    "#print(sys.fSS(2))\n",
    "print(model.m)\n",
    "\n",
    "nt=setup['nt']\n",
    "qtmax=24*60*365*10\n",
    "qt=numpy.linspace(0,qtmax,nt)\n",
    "#ft=[fw['derivatives']['fetusGrowthDuration'](x) for x in qt]\n",
    "try:\n",
    "    fw=model.get('fetusWeight')\n",
    "    ft=[fw['value'](x) for x in qt]\n",
    "    matplotlib.pyplot.plot(qt/tscale,ft)\n",
    "except (KeyError,TypeError):\n",
    "    pass\n",
    "\n",
    "try:\n",
    "    hw=model.get('hairVolume')\n",
    "    ht=[10*hw['value'](x) for x in qt]\n",
    "    matplotlib.pyplot.plot(qt/tscale,ht)\n",
    "except (KeyError,TypeError):\n",
    "    pass\n",
    "start_time=time.time()\n",
    "for i in range(100000):\n",
    "    model.M(1e7)\n",
    "end_time=time.time()\n",
    "print('Time: {:.3f} s'.format(end_time-start_time))\n",
    "print(model.M(1000)[8,:])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyError",
     "evalue": "'humanHGplusI_RBC_matrix'",
     "output_type": "error",
     "traceback": [
      "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
      "\u001b[31mKeyError\u001b[39m                                  Traceback (most recent call last)",
      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[144]\u001b[39m\u001b[32m, line 2\u001b[39m\n\u001b[32m      1\u001b[39m ms=[\u001b[33m'\u001b[39m\u001b[33mhumanHGplusI_RBC_matrix\u001b[39m\u001b[33m'\u001b[39m,\u001b[33m'\u001b[39m\u001b[33mhumanHGplusI_RBC\u001b[39m\u001b[33m'\u001b[39m]\n\u001b[32m----> \u001b[39m\u001b[32m2\u001b[39m models=[\u001b[43mgetModel\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\u001b[43mm\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mfor\u001b[39;00m m \u001b[38;5;129;01min\u001b[39;00m ms]\n\u001b[32m      3\u001b[39m SS=[m.fSS(\u001b[32m0\u001b[39m) \u001b[38;5;28;01mfor\u001b[39;00m m \u001b[38;5;129;01min\u001b[39;00m models]\n\u001b[32m      4\u001b[39m Q=[data[m][\u001b[33m'\u001b[39m\u001b[33msolution\u001b[39m\u001b[33m'\u001b[39m] \u001b[38;5;28;01mfor\u001b[39;00m m \u001b[38;5;129;01min\u001b[39;00m ms]\n",
      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[141]\u001b[39m\u001b[32m, line 18\u001b[39m, in \u001b[36mgetModel\u001b[39m\u001b[34m(data, modelName)\u001b[39m\n\u001b[32m     17\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mgetModel\u001b[39m(data,modelName):\n\u001b[32m---> \u001b[39m\u001b[32m18\u001b[39m     Q=\u001b[43mdata\u001b[49m\u001b[43m[\u001b[49m\u001b[43mmodelName\u001b[49m\u001b[43m]\u001b[49m[\u001b[33m'\u001b[39m\u001b[33msolution\u001b[39m\u001b[33m'\u001b[39m]\n\u001b[32m     19\u001b[39m     model=cModel.model()\n\u001b[32m     20\u001b[39m     setupFile=Q[\u001b[33m'\u001b[39m\u001b[33msetup\u001b[39m\u001b[33m'\u001b[39m]\n",
      "\u001b[31mKeyError\u001b[39m: 'humanHGplusI_RBC_matrix'"
     ]
    }
   ],
   "source": [
    "ms=['humanHGplusI_RBC_matrix','humanHGplusI_RBC']\n",
    "models=[getModel(data,m) for m in ms]\n",
    "SS=[m.fSS(0) for m in models]\n",
    "Q=[data[m]['solution'] for m in ms]\n",
    "print(numpy.max(numpy.abs(SS[0])))\n",
    "F=numpy.abs(SS[0]-SS[1])>0\n",
    "iLUTSE={Q[0]['lutSE'][v]:v for v in Q[0]['lutSE']}\n",
    "iLUT={Q[0]['lut'][v]:v for v in Q[0]['lut']}\n",
    "w=numpy.where(F)\n",
    "seNms=[iLUTSE[x] for x in w[0]]\n",
    "cNms=[[iLUT[x] for x in h] for h in w[1:3]]\n",
    "cNms.insert(0,seNms)\n",
    "cNms1=[[cNms[0][i],cNms[1][i],cNms[2][i],SS[0][w[0][i],w[1][i],w[2][i]],SS[1][w[0][i],w[1][i],w[2][i]]] for i in range(len(cNms[0]))]\n",
    "print(cNms1)\n",
    "c='plasma'\n",
    "p='slowlyPerfusedFlowFraction'\n",
    "p='gutFlowFraction'\n",
    "p='kidneyFlowFraction'\n",
    "p='richlyPerfusedFlowFraction'\n",
    "#p='bodyWeight'\n",
    "fy=Q[0]['sOut'][:,Q[0]['lut'][c],Q[0]['lutSE'][p]]\n",
    "fy1=Q[1]['sOut'][:,Q[1]['lut'][c],Q[1]['lutSE'][p]]\n",
    "#matplotlib.pyplot.plot(Q[0]['t'],fy)\n",
    "matplotlib.pyplot.plot(Q[1]['t'],fy1)\n",
    "#print(SS[0][F])\n",
    "#print(SS[1][F])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "modelFile: /home/studen/temp/humanHGplusI_RBC/model.json True\n",
      "parameterFile: /home/studen/temp/humanHGplusI_RBC/parameters.json True\n",
      "(752,) (16,)\n",
      "(768,)\n",
      "s0 (752,) y0p (16,)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
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       "       [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
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       "        0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import solveMatrix\n",
    "importlib.reload(solveMatrix)\n",
    "model=getModel(data,'humanHGplusI_RBC')\n",
    "obj=solveMatrix._solveMatrix(model,1000)\n",
    "M=numpy.abs(obj['SM'][24*16:(24+1)*16,-16:])\n",
    "#M=numpy.abs(obj['SM'])\n",
    "matplotlib.pyplot.imshow(M)\n",
    "numpy.max(M)\n",
    "M"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "modelFile: /home/studen/temp/humanHGplusI_RBC/model.json True\n",
      "parameterFile: /home/studen/temp/humanHGplusI_RBC/parameters.json True\n",
      "0\n",
      "1\n",
      "2\n",
      "3\n",
      "5\n",
      "6\n",
      "7\n",
      "9\n",
      "10\n",
      "11\n",
      "12\n",
      "13\n",
      "15\n",
      "16\n",
      "17\n",
      "19\n",
      "0.999999998652029\n",
      "[('brainI', 5.591268564730524e-08), ('urine', 6.920503851883565e-07), ('hairI', 2.829112820729282e-06), ('hair', 2.5908112965118847e-05), ('bloodI', 6.48014370354082e-05), ('kidneyI', 0.00034539782696188444), ('brainBlood', 0.0008838108138251085), ('fecesI', 0.0009365878956040508), ('liverI', 0.0016857155746677485), ('plasma', 0.002537491433132075), ('venous', 0.0025444401202051573), ('brain', 0.004082574560654416), ('kidney', 0.010365728769627663), ('gut', 0.013662463918991298), ('fat', 0.0257916393847429), ('feces', 0.02667203433643526), ('redBloodCells', 0.03545009717387017), ('richlyPerfused', 0.0636064259191453), ('liver', 0.09840624607901789), ('intestine', 0.30824288460368277), ('slowlyPerfused', 0.40469217361557336)]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'value': 4.33728,\n",
       " 'derivatives': {'plasmaTotalVolumeFraction': 67.77,\n",
       "  'redBloodCellsVolumeFraction': 67.77,\n",
       "  'bodyWeight': 0.064}}"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "getSum(data,'humanHGplusI_RBC')\n",
    "tscale=runSolver.getScale(Q['setup'])\n",
    "#calculate total mass of xeno-substance\n",
    "model.get(\"bloodToPlasmaPCscale\")\n",
    "model.get(\"bloodVolume\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "nix",
   "language": "python",
   "name": "nix"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}