{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 237,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using /home/studen/temp/humanHG_withHairPC\n",
      "At t=56.46\n",
      "At t=90.86\n",
      "At t=101.55\n",
      "At t=112.16\n",
      "At t=122.82\n",
      "At t=133.54\n",
      "At t=144.17\n",
      "At t=154.87\n",
      "At t=165.67\n",
      "At t=176.35\n",
      "At t=187.07\n",
      "At t=197.91\n",
      "At t=208.66\n",
      "At t=219.46\n",
      "At t=230.33\n",
      "At t=241.11\n",
      "At t=251.96\n",
      "At t=262.92\n",
      "At t=273.76\n",
      "At t=284.65\n",
      "At t=295.66\n",
      "At t=306.58\n",
      "At t=317.57\n",
      "At t=328.62\n",
      "At t=339.59\n",
      "At t=350.64\n",
      "At t=361.80\n",
      "At t=372.84\n",
      "At t=383.94\n",
      "At t=395.16\n",
      "At t=406.31\n",
      "At t=417.51\n",
      "At t=428.80\n",
      "At t=440.00\n",
      "At t=451.29\n",
      "At t=462.69\n",
      "At t=473.98\n",
      "At t=485.33\n",
      "At t=496.81\n",
      "At t=508.22\n",
      "At t=519.69\n",
      "At t=531.24\n",
      "At t=542.72\n",
      "At t=554.29\n",
      "At t=565.98\n",
      "At t=577.56\n",
      "At t=589.35\n",
      "Done simultaneous LSODA SE\n",
      "Time: 152.954 s\n"
     ]
    }
   ],
   "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",
    "\n",
    "  \n",
    "#run solver\n",
    "fh=os.path.expanduser('~')\n",
    "jobDir=os.path.join(fh,'temp','humanHG_withHairPC')\n",
    "#jobDir=os.path.join(fh,'temp','humanHG')\n",
    "setupFile=os.path.join(fh,'software','src','PBPK','setup','setupFast.json')\n",
    "#modelFile=os.path.join(fh,'software','src','PBPK','models','humanHGplusI.json')\n",
    "#parameterFile=os.path.join(fh,'software','src','PBPK','models','humanHGplusI_parameters.json')\n",
    "modelFile=os.path.join(fh,'software','src','PBPK','models','humanHG_withHairPC.json')\n",
    "parameterFile=os.path.join(fh,'software','src','PBPK','models','humanHG_withHairPC_parameters.json')\n",
    "#modelFile=os.path.join(fh,'software','src','PBPK','models','humanHG.json')\n",
    "#parameterFile=os.path.join(fh,'software','src','PBPK','models','humanHG_parameters1.json')\n",
    "runSolver.main([setupFile,modelFile,parameterFile],jobDir)\n",
    "setup=runSolver.parseSetup(setupFile)\n",
    "scale=runSolver.getScale(setup)\n",
    "tmax=setup['tmax']*scale\n",
    "#t0,y0,S1,lut,lutSE=runSolver.getStartPoint(setup)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 229,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "201\n"
     ]
    }
   ],
   "source": [
    "humanHG=os.path.join(fh,'temp','humanHG')\n",
    "humanHGplusI=os.path.join(fh,'temp','humanHGplusI')\n",
    "t,sol,se,sOut,qt,lut,lutSE=runSolver.loadSolutionFromDir(humanHG)\n",
    "print(len(t))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "jobDir=os.path.join(fh,'temp','humanHGplusI')\n",
    "model=cModel.model()\n",
    "#sys.parse(os.path.join(fh,'software','src','Integra','models','cDiazepam.json'))\n",
    "setupFile=os.path.join(fh,'software','src','PBPK','setup','setupFastLoad.json')\n",
    "modelFile=os.path.join(fh,'software','src','PBPK','models','humanHG.json')\n",
    "parameterFile=os.path.join(fh,'software','src','PBPK','models','humanHG_parameters1.json')\n",
    "model.parse(modelFile,parameterFile)\n",
    "setup=runSolver.parseSetup(setupFile)\n",
    "scale=runSolver.getScale(setup)\n",
    "tmax=setup['tmax']*scale\n",
    "tOld,solOld,seOld,s1Old,qtOld,lut,lutSE=runSolver.loadSolutionFromRef(setup)\n",
    "#t0,y0,S1,lut,lutSE=runSolver.getStartPoint(setup)\n",
    "t0=tOld[-1]\n",
    "y0=solOld[-1]\n",
    "s1=s1Old[-1]\n",
    "print(model.lutSE)\n",
    "print(lutSE)\n",
    "sIn=numpy.zeros(s1.shape)\n",
    "if s1.size>0:\n",
    "    for x in model.lutSE:\n",
    "        #this could be modified for different ordering of lut as well\n",
    "        sIn[:,model.lutSE[x]]=s1[:,lutSE[x]]\n",
    "\n",
    "\n",
    "t,sol,se,s1=ivp.solveSimultaneous(model,tmax,atol=setup['atol'],\\\n",
    "         rtol=setup['rtol'],method=setup['method'],t0=t0,y0=y0,sIn=sIn)\n",
    "qt,sOut=runSolver.interpolate(setup,model,t,s1,t0,tmax)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "model=cModel.model()\n",
    "fh=os.path.expanduser('~')\n",
    "#sys.parse(os.path.join(fh,'software','src','Integra','models','cDiazepam.json'))\n",
    "setupFile=os.path.join(fh,'software','src','PBPK','setup','setupFast.json')\n",
    "modelFile=os.path.join(fh,'software','src','PBPK','models','humanHGplusI.json')\n",
    "parameterFile=os.path.join(fh,'software','src','PBPK','models','humanHGplusI_parameters.json')\n",
    "model.parse(modelFile,parameterFile)\n",
    "setup=runSolver.parseSetup(setupFile)\n",
    "tscale=runSolver.getScale(setup)\n",
    "\n",
    "model.inspect()    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "***********done************\n",
      "(16, 16)\n",
      "22\n",
      "Time: 0.714 s\n",
      "[ 0.          0.          0.          0.          0.          0.\n",
      "  0.          0.12434798 -0.00099998  0.          0.          0.\n",
      "  0.          0.          0.          0.        ]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "model=cModel.model()\n",
    "fh=os.path.expanduser('~')\n",
    "#sys.parse(os.path.join(fh,'software','src','Integra','models','cDiazepam.json'))\n",
    "setupFile=os.path.join(fh,'software','src','PBPK','setup','setupFast.json')\n",
    "modelFile=os.path.join(fh,'software','src','PBPK','models','humanHGplusI.json')\n",
    "parameterFile=os.path.join(fh,'software','src','PBPK','models','humanHGplusI_parameters.json')\n",
    "sys.parse(modelFile,parameterFile)\n",
    "setup=runSolver.parseSetup(setupFile)\n",
    "tscale=runSolver.getScale(setup)\n",
    "\n",
    "sys.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(sys.M(1000)[8,:])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 238,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1440 with 12 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# #copy output of Thompson et al1\n",
    "# merge solutions \n",
    "humanHG=os.path.join(fh,'temp','humanHG')\n",
    "humanHGplusI=os.path.join(fh,'temp','humanHGplusI')\n",
    "humanHG_withHairPC=os.path.join(fh,'temp','humanHG_withHairPC')\n",
    "t,sol,se,sOut,qt,lut,lutSE=runSolver.loadSolutionFromDir(humanHG)\n",
    "t1,sol1,se1,sOut1,qt1,lut1,lutSE1=runSolver.loadSolutionFromDir(humanHG_withHairPC)\n",
    "fig, axs = matplotlib.pyplot.subplots(4, 3,figsize=(15,20))\n",
    "name=['plasma','kidney','liver',\n",
    "      'plasmaI','kidneyI','liverI',\n",
    "      'brain','hair','redBloodCells',\n",
    "     'brainI','hairI','slowlyPerfused'\n",
    "      ]\n",
    "\n",
    "tscale=scale\n",
    "max=[-1]*len(name)\n",
    "for i in range(len(name)):\n",
    "    row=i//3\n",
    "    col=i%3\n",
    "    ax=axs[row,col]\n",
    "    try:\n",
    "        fy=sol[:,lut[name[i]]]\n",
    "        fe=se[:,lut[name[i]]]\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",
    "    except KeyError:\n",
    "        pass\n",
    "    try:\n",
    "        fy1=sol1[:,lut1[name[i]]]\n",
    "        fe1=se1[:,lut1[name[i]]]\n",
    "        ax.plot(t1/tscale,fy1,color='black')\n",
    "        ax.fill_between(t1/tscale, fy1-fe1, fy1 + fe1, color='black',alpha=0.1)\n",
    "        ax.plot(t1/tscale,fy1-fe1,color='green',linewidth=1,alpha=0.2)\n",
    "        ax.plot(t1/tscale,fy1+fe1,color='green',linewidth=1,alpha=0.2)\n",
    "    except (NameError,KeyError):\n",
    "        pass\n",
    "    if max[i]>0:\n",
    "        axs[row,col].set_ylim([0,max[i]])\n",
    "    axs[row,col].set_xlim([0,1.1*tmax/tscale])\n",
    "    axs[row,col].set_title(name[i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 222,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sum (liverI, der, sigma_p)\n",
      "\t4e-12 [9.4e-08 4.2e-05] liverVolumeFraction \n",
      "\t3.2e-12 [0.0025 1.3e-09] dBLPaper \n",
      "\t3.2e-12 [0.0053 6e-10] kRScaled \n",
      "\t6.3e-13 [5.6e-08 1.1e-05] plasmaVolumeFraction \n",
      "\t3.3e-13 [7e-11 0.0046] liverOutFlowFraction \n"
     ]
    }
   ],
   "source": [
    "model=cModel.model()\n",
    "#sys.parse(os.path.join(fh,'software','src','Integra','models','cDiazepam.json'))\n",
    "setupFile=os.path.join(fh,'software','src','PBPK','setup','setupFast.json')\n",
    "modelFile=os.path.join(fh,'software','src','PBPK','models','humanHGplusI.json')\n",
    "parameterFile=os.path.join(fh,'software','src','PBPK','models','humanHGplusI_parameters.json')\n",
    "model.parse(modelFile,parameterFile)\n",
    "t,sol,se,sOut,qt,lut,lutSE=runSolver.loadSolutionFromDir(humanHGplusI)\n",
    "compartment='liverI'\n",
    "d=model.getDerivatives(sOut,lut[compartment])\n",
    "w=model.getWeights(lutSE)\n",
    "print('Sum ({}, der, sigma_p)'.format(compartment))\n",
    "s={x:d[lutSE[x]]*w[lutSE[x]] for x in lutSE}\n",
    "s=dict(sorted(s.items(), key=lambda item:item[1],reverse=True))\n",
    "for p in list(s)[:5]:\n",
    "    j=lutSE[p]\n",
    "    print('\\t{:.2g} [{:.2g} {:.2g}] {} '.format(d[j]*w[j],d[j],w[j],p))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 9 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# #copy output of Thompson et al1\n",
    "# merge solutions \n",
    "t,sol,se,sOut,qt,lut,lutSE=runSolver.loadSolutionFromDir(jobDir)\n",
    "fig, axs = matplotlib.pyplot.subplots(3, 3,figsize=(15,15))\n",
    "cName=['liverI']\n",
    "pName=['dBLPaper','kHScaled','gutPC']\n",
    "\n",
    "tscale=scale\n",
    "max=[-1]*len(name)\n",
    "for row in range(len(cName)):\n",
    "    for col in range(len(pName)):\n",
    "        #row=i//3\n",
    "        #col=i%3\n",
    "        fy=sOut[:,lut[cName[row]],lutSE[pName[col]]]\n",
    "        ax=axs[row,col]\n",
    "        ax.plot(qt/tscale,fy)\n",
    "        #if max[i]>0:\n",
    "        #    axs[row,col].set_ylim([0,max[i]])\n",
    "        axs[row,col].set_xlim([0,1.1*tmax/tscale])\n",
    "        axs[row,col].set_title('{}/{}'.format(cName[row],pName[col]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1800 with 15 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# #copy output of Thompson et al1\n",
    "# merge solutions \n",
    "fig, axs = matplotlib.pyplot.subplots(5, 3,figsize=(15,25))\n",
    "name=['arterial','adipose','brain','heart','kidney','liver','lung','muscle','skin',\n",
    "      'splanchnic','stomach','testes','excrement']\n",
    "name=['plasma','gut','hair','kidney','liver','inorganicMercury','redBloodCells','slowlyPerfused']\n",
    "\n",
    "#diazepam\n",
    "max=[1.5,2.6,3,4,5,2.5,6.8,1.5,1.5,4,4.2,3,25]\n",
    "#cotinine\n",
    "max=[9]*13\n",
    "max[12]=90\n",
    "max[2]=2\n",
    "\n",
    "tscale=scale\n",
    "max=[1000*x for x in max]\n",
    "for i in range(len(name)):\n",
    "    row=i//3\n",
    "    col=i%3\n",
    "    fy=sol[:,model.lut[name[i]]]\n",
    "    fe=se[:,model.lut[name[i]]]\n",
    "    fy1=solOld[:,model.lut[name[i]]]\n",
    "    fe1=seOld[:,model.lut[name[i]]]\n",
    "    ax=axs[row,col]\n",
    "    ax.plot(t/tscale,fy)\n",
    "    ax.plot(tOld/tscale,fy1,color='black')\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.fill_between(tOld/tscale, fy1-fe1, fy1 + fe1, color='black',alpha=0.1)\n",
    "    ax.plot(tOld/tscale,fy1-fe1,color='black',linewidth=1,alpha=0.2)\n",
    "    ax.plot(tOld/tscale,fy1+fe1,color='black',linewidth=1,alpha=0.2)\n",
    "    axs[row,col].set_title(name[i])\n",
    "    #axs[row,col].set_ylim([0,max[i]])\n",
    "    axs[row,col].set_xlim([0,1.1*tmax/tscale])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# #copy output of Thompson et al1\n",
    "# draw just the errors\n",
    "fig, axs = matplotlib.pyplot.subplots(3, 3,figsize=(15,25))\n",
    "name=['arterial','adipose','brain','heart','kidney','liver','lung','muscle','skin',\n",
    "      'splanchnic','stomach','testes','excrement']\n",
    "name=['plasma','gut','hair','kidney','liver','inorganicMercury','redBloodCells','slowlyPerfused']\n",
    "\n",
    "#diazepam\n",
    "max=[1.5,2.6,3,4,5,2.5,6.8,1.5,1.5,4,4.2,3,25]\n",
    "#cotinine\n",
    "max=[9]*13\n",
    "max[12]=90\n",
    "max[2]=2\n",
    "\n",
    "tscale=scale\n",
    "max=[1000*x for x in max]\n",
    "for i in range(len(name)):\n",
    "    row=i//3\n",
    "    col=i%3\n",
    "    fe=se[:,model.lut[name[i]]]\n",
    "    fe1=seOld[:,model.lut[name[i]]]\n",
    "    ax=axs[row,col]\n",
    "    ax.plot(t/tscale,fe)\n",
    "    ax.plot(tOld/tscale,fe1,color='black')\n",
    "    axs[row,col].set_title(name[i])\n",
    "    #axs[row,col].set_ylim([0,max[i]])\n",
    "    axs[row,col].set_xlim([0,1.1*tmax/tscale])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Drawing kHScaled 6/6\n"
     ]
    },
    {
     "ename": "ValueError",
     "evalue": "x and y must have same first dimension, but have shapes (671,) and (1458,)",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-120-4ee25e5921c5>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     28\u001b[0m     \u001b[0mfe1\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0ms1Old\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mlut\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mlutSE\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mparName\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     29\u001b[0m     \u001b[0max\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0maxs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mrow\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mcol\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 30\u001b[0;31m     \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mt\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0mtscale\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mfe\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     31\u001b[0m     \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mqtOld\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0mtscale\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mfe1\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mcolor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'black'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     32\u001b[0m     \u001b[0maxs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mrow\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mcol\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_title\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.local/lib/python3.8/site-packages/matplotlib/axes/_axes.py\u001b[0m in \u001b[0;36mplot\u001b[0;34m(self, scalex, scaley, data, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1645\u001b[0m         \"\"\"\n\u001b[1;32m   1646\u001b[0m         \u001b[0mkwargs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcbook\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnormalize_kwargs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmlines\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mLine2D\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1647\u001b[0;31m         \u001b[0mlines\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get_lines\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1648\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mline\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mlines\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1649\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madd_line\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mline\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.local/lib/python3.8/site-packages/matplotlib/axes/_base.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    214\u001b[0m                 \u001b[0mthis\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    215\u001b[0m                 \u001b[0margs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 216\u001b[0;31m             \u001b[0;32myield\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_plot_args\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mthis\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    217\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    218\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mget_next_color\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.local/lib/python3.8/site-packages/matplotlib/axes/_base.py\u001b[0m in \u001b[0;36m_plot_args\u001b[0;34m(self, tup, kwargs)\u001b[0m\n\u001b[1;32m    340\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    341\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 342\u001b[0;31m             raise ValueError(f\"x and y must have same first dimension, but \"\n\u001b[0m\u001b[1;32m    343\u001b[0m                              f\"have shapes {x.shape} and {y.shape}\")\n\u001b[1;32m    344\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndim\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m2\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndim\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mValueError\u001b[0m: x and y must have same first dimension, but have shapes (671,) and (1458,)"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1800 with 15 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# #copy output of Thompson et al1\n",
    "#draw error contributions\n",
    "fig, axs = matplotlib.pyplot.subplots(5, 3,figsize=(15,25))\n",
    "name=['arterial','adipose','brain','heart','kidney','liver','lung','muscle','skin',\n",
    "      'splanchnic','stomach','testes','excrement']\n",
    "name=['plasma','gut','hair','kidney','liver','redBloodCells','slowlyPerfused']\n",
    "\n",
    "#diazepam\n",
    "max=[1.5,2.6,3,4,5,2.5,6.8,1.5,1.5,4,4.2,3,25]\n",
    "#cotinine\n",
    "max=[9]*13\n",
    "max[12]=90\n",
    "max[2]=2\n",
    "\n",
    "tscale=scale\n",
    "ipar=6\n",
    "\n",
    "for nm in model.lutSE:\n",
    "    if model.lutSE[nm]==ipar:\n",
    "        parName=nm\n",
    "print('Drawing {} {}/{}'.format(parName,model.lutSE[parName],lutSE[parName]))\n",
    "        \n",
    "max=[1000*x for x in max]\n",
    "for i in range(len(name)):\n",
    "    row=i//3\n",
    "    col=i%3\n",
    "    fe=s1[:,model.lut[name[i]],model.lutSE[parName]]\n",
    "    fe1=s1Old[:,lut[name[i]],lutSE[parName]]\n",
    "    ax=axs[row,col]\n",
    "    ax.plot(t/tscale,fe)\n",
    "    ax.plot(qtOld/tscale,fe1,color='black')\n",
    "    axs[row,col].set_title(name[i])\n",
    "    #axs[row,col].set_ylim([0,max[i]])\n",
    "    axs[row,col].set_xlim([0,1.1*tmax/tscale])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "7440"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#gD=sys.get(\"hairGrowthDuration\")\n",
    "#print(gD['value']/60/24/365)\n",
    "print(model.lut['slowlyPerfused'])\n",
    "ft=[sys.fSS(x)[0,8,7] for x in qt]\n",
    "#matplotlib.pyplot.imshow(sys.fSS(3e6)[0])\n",
    "matplotlib.pyplot.plot(qt/tscale,ft)\n",
    "30*248"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}