{ "cells": [ { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "import sys\n", "import os\n", "import SimpleITK\n", "import numpy\n", "import matplotlib.pyplot\n", "import subprocess\n", "sys.path.append(os.path.join(os.path.expanduser('~'),'software','src','nixSuite','wrapper'))\n", "import nixWrapper\n", "nixWrapper.loadLibrary('labkeyInterface')\n", "import labkeyInterface\n", "net=labkeyInterface.labkeyInterface()\n", "fconfig=os.path.join(os.path.expanduser('~'),'.labkey','network.json')\n", "net.init(fconfig)\n", "net.getCSRF()\n", "import labkeyFileBrowser\n", "sys.path.append(os.getcwd())\n", "import downloadPatient\n", "fb=labkeyFileBrowser.labkeyFileBrowser(net)\n", "project='dinamic_spect/Patients'\n", "locDir=os.path.join(os.path.expanduser('~'),'temp','dynamicSPECT')\n", "import labkeyDatabaseBrowser\n", "db=labkeyDatabaseBrowser.labkeyDB(net)\n", "ds=db.selectRows(project,'study','Imaging',[])\n", "patients=[row['aliasID'] for row in ds['rows']]" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "#generate centers\n", "import subprocess\n", "\n", "nclass=10\n", "nsample=20\n", "patients=list(set(patients))\n", "scriptPath=os.path.join(os.path.expanduser('~'),\\\n", " 'scripts','dynamicSPECT','generateCenters.sh')\n", "\n", "for pId in patients:\n", " if pId.find('8')==0:\n", " continue\n", " print(subprocess.run([scriptPath,pId,str(nclass),str(nsample)], \\\n", " check=True, stdout=subprocess.PIPE).stdout)\n", " \n", " " ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "#doAnalysis\n", "import subprocess\n", "\n", "patients=list(set(patients))\n", "runScript='doAnalysis.sh'\n", "#this is if IVF is taken from clusters\n", "scriptPath=os.path.join(os.path.expanduser('~'),\\\n", " 'scripts','dynamicSPECT',runScript)\n", "#patients1=['10KFMIR']\n", "patients1=patients\n", "for pId in patients1:\n", " if pId.find('8')==0:\n", " continue\n", " for nclass in [10,20,30]:\n", " for realizationId in numpy.arange(20):\n", " print('{}/{} {}'.format(pId,nclass,realizationId+1))\n", " subprocess.run([scriptPath,pId,str(nclass),str(realizationId)],\\\n", " check=True, stdout=subprocess.PIPE)\n", " \n", " " ] } ], "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 }