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+import numpy
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+import os
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+import json
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+import time
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+import cModel
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+import importlib
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+import runSolver
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+import numpy.linalg
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+#Zalaufaj metodo solve_matrics namest IVP, method seperately. Preverjas razlicne metode resevanja enega modela, pol ko bos pa naredi kopijo novega modela glede na članek kotinin
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+importlib.reload(cModel)
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+importlib.reload(runSolver)
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+
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+def getModel(solution, modelName):
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+ Q = solution[modelName]
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+ model = cModel.model()
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+ setupFile = Q['setup']
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+ modelFile = Q['model']
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+ parameterFile = Q['parameters']
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+ print('modelFile: {} {}'.format(modelFile, os.path.isfile(modelFile)))
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+ print('parameterFile: {} {}'.format(parameterFile, os.path.isfile(parameterFile)))
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+ model.parse(modelFile, parameterFile)
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+ return model
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+def getSum(data,modelName):
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+
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+ model=getModel(data,modelName)
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+ Q=data[modelName]['solution']
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+ lut=Q['lut']
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+ total=Q['sol'][-1,lut['total']]
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+ #print(total)
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+ fQ={}
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+ for x in lut:
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+ if x=='total':
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+ continue
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+ j=lut[x]
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+ try:
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+ v=model.get(model.mod['volumes'][x])['value']
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+ fQ[x]=Q['sol'][-1,j]*v/total
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+ except KeyError:
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+ #print('{} {}'.format(x,x in model.mod['scaled']))
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+ fQ[x]=Q['sol'][-1,j]
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+ print(sum(list(fQ.values())))
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+ print(sorted(fQ.items(), key=lambda item:item[1]))
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+
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+def mergeSolutions(seq):
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+ out={}
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+ #each element in sequence should have this components
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+ for v in ['t','sol','se','qt','sOut']:
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+ out[v]=numpy.concatenate([x[v] for x in seq])
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+ #copy last for settings
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+ for v in ['lut','lutSE','setup','model','parameters','qt','sOut']:
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+ out[v]=seq[-1][v]
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+ return out
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+
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+def updateSetup(job):
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+ setupFileSrc = job['setupFile']
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+ setupFile = os.path.join(job['jobDir'], 'setupInput.json')
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+ with open(setupFileSrc, 'r') as f:
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+ setup = json.load(f)
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+ try:
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+ setup.update(job['setupUpdates'])
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+ except KeyError:
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+ pass
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+ with open(setupFile, 'w+') as f:
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+ f.write(json.dumps(setup))
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+ return setupFile
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+
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+fh = os.path.expanduser('~')
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+
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+# Create job configurations
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+job_configs = {
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+ 'cDiazepam': {
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+ 'jobDir': os.path.join(fh, 'Documents', 'Sola', 'IJS', 'PBPK_public', 'cDiazepam_IVP'),
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+ 'modelFile': os.path.join(fh, 'Documents', 'Sola', 'IJS', 'PBPK_public', 'models', 'cDiazepam.json'),
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+ 'parameterFile': os.path.join(fh, 'Documents', 'Sola', 'IJS', 'PBPK_public', 'models', 'cDiazepam_parameters2.json'),
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+ 'setupFile': os.path.join(fh, 'Documents', 'Sola', 'IJS', 'PBPK_public', 'setup', 'setupMinute.json'),
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+ 'srcDir': 'NONE',
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+ 'doCalculate': True
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+ },
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+ 'cDiazepam1': {
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+ 'jobDir': os.path.join(fh, 'Documents', 'Sola', 'IJS', 'PBPK_public', 'cDiazepam1_IVP'),
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+ 'modelFile': os.path.join(fh, 'Documents', 'Sola', 'IJS', 'PBPK_public', 'models', 'cDiazepam.json'),
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+ 'parameterFile': os.path.join(fh, 'Documents', 'Sola', 'IJS', 'PBPK_public', 'models', 'cDiazepam_parameters2.json'),
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+ 'setupFile': os.path.join(fh, 'Documents', 'Sola', 'IJS', 'PBPK_public', 'setup', 'setupHours.json'),
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+ 'srcDir': 'NONE',
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+ 'doCalculate': True
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+ },
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+ 'cDiazepamF': {
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+ 'jobDir': os.path.join(fh, 'Documents', 'Sola', 'IJS', 'PBPK_public', 'cDiazepamF_IVP'),
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+ 'modelFile': os.path.join(fh, 'Documents', 'Sola', 'IJS', 'PBPK_public', 'models', 'cDiazepam.json'),
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+ 'parameterFile': os.path.join(fh, 'Documents', 'Sola', 'IJS', 'PBPK_public', 'models', 'cDiazepam_parameters1.json'),
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+ 'setupFile': os.path.join(fh, 'Documents', 'Sola', 'IJS', 'PBPK_public', 'setup', 'setupMinute.json'),
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+ 'srcDir': 'NONE',
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+ 'doCalculate': True
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+ },
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+ 'cDiazepamB': {
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+ 'jobDir': os.path.join(fh, 'Documents', 'Sola', 'IJS', 'PBPK_public', 'cDiazepamB_IVP'),
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+ 'modelFile': os.path.join(fh, 'Documents', 'Sola', 'IJS', 'PBPK_public', 'models', 'cDiazepam.json'),
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+ 'parameterFile': os.path.join(fh, 'Documents', 'Sola', 'IJS', 'PBPK_public', 'models', 'cDiazepam_parameters1.json'),
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+ 'setupFile': os.path.join(fh, 'Documents', 'Sola', 'IJS', 'PBPK_public', 'setup', 'setupHours.json'),
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+ 'srcDir': 'NONE',
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+ 'doCalculate': True
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+ }
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+}
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+
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+# Execute jobs
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+for job_name, job in job_configs.items():
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+ if not job['doCalculate']:
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+ continue
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+
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+ if not os.path.isdir(job['jobDir']):
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+ os.mkdir(job['jobDir'])
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+
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+ # Adjust local setup file with ad-hoc modifications
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+ setupFile = updateSetup(job)
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+# t0,y0,S1,lut,lutSE=runSolver.getStartPoint(setupFile) #Pridobivanje začetnih točk
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+ runSolver.main([setupFile, job['modelFile'], job['parameterFile']], job['jobDir'], job['srcDir'])
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+#(t0,y0,S1,lut,lutSE=runSolver.getStartPoint(setup) ) #Pridobivanje začetnih točk
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+#Zalaufaj metodo solve_matrics namest IVP, method seperately. Preverjas razlicne metode resevanja enega modela, pol ko bos pa naredi kopijo novega modela glede na članek kotinin
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+
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