Changeset d53bc33 in sasview for park_integration
- Timestamp:
- Aug 6, 2008 2:52:15 PM (16 years ago)
- Branches:
- master, ESS_GUI, ESS_GUI_Docs, ESS_GUI_batch_fitting, ESS_GUI_bumps_abstraction, ESS_GUI_iss1116, ESS_GUI_iss879, ESS_GUI_iss959, ESS_GUI_opencl, ESS_GUI_ordering, ESS_GUI_sync_sascalc, costrafo411, magnetic_scatt, release-4.1.1, release-4.1.2, release-4.2.2, release_4.0.1, ticket-1009, ticket-1094-headless, ticket-1242-2d-resolution, ticket-1243, ticket-1249, ticket885, unittest-saveload
- Children:
- a9dec92
- Parents:
- 129284a
- Location:
- park_integration
- Files:
-
- 1 added
- 2 edited
Legend:
- Unmodified
- Added
- Removed
-
park_integration/AbstractFitEngine.py
r37d9521 rd53bc33 46 46 47 47 """ 48 print " fitting parmater",pars48 print "AbstractFitEngine: fitting parmater",pars 49 49 temp=[] 50 50 if pars !={}: … … 60 60 temp.append(key) 61 61 self.paramList.append(temp) 62 print " self.paramList2", self.paramList62 print "AbstractFitEngine: self.paramList2", self.paramList 63 63 #A fitArrange is already created but contains dList only at Uid 64 64 if self.fitArrangeList.has_key(Uid): -
park_integration/test/test_large_model.py
rcfe97ea rd53bc33 10 10 """ test fitting """ 11 11 def testfit_1Data_1Model(self): 12 """ test fitting for one data and one model park vs scipy""" 13 #load data 14 from sans.fit.Loader import Load 15 load= Load() 16 load.set_filename("cyl_testdata.txt") 17 load.set_values() 18 data1 = Data1D(x=[], y=[],dx=None, dy=None) 19 load.load_data(data1) 20 21 22 #Importing the Fit module 23 from sans.fit.Fitting import Fit 24 fitter= Fit('scipy') 25 26 # Receives the type of model for the fitting 27 from sans.models.CylinderModel import CylinderModel 28 model1 = CylinderModel() 29 30 31 #Do the fit SCIPY 32 fitter.set_data(data1,1) 33 import math 34 pars1={'background':0,'contrast':3*math.pow(10, -6),\ 35 'cyl_phi':1,'cyl_theta':1,'length':400,'radius':20,'scale':1} 36 fitter.set_model(model1,"M1",1,pars1) 37 38 39 chisqr1, out1, cov1=fitter.fit() 40 print "scipy1",chisqr1, out1, cov1 41 pars2={'background':1.0,'contrast':400,\ 42 'cyl_phi':20,'cyl_theta':0.0,'length':1.0,\ 43 'radius':3*math.pow(10, -6),'scale':1.0} 44 fitter.set_model(model1,"M1",1,pars2) 45 chisqr2, out2, cov2=fitter.fit() 46 print "scipy2",chisqr2, out2, cov2 47 48 pars3={'background':5.85693826,'contrast': 5.86071451,\ 49 'cyl_phi':1.04547760*math.pow(10,-5),'cyl_theta':1.0,'length':0.0,\ 50 'radius':1.39397013*math.pow(10, 3),'scale':20} 51 fitter.set_model(model1,"M1",1,pars3) 52 chisqr3, out3, cov3=fitter.fit() 53 print "scipy3",chisqr3, out3, cov3 54 self.assert_(chisqr1) 55 56 57 58 def testfit_11Data_1Model(self): 12 59 """ test fitting for one data and one model park vs scipy""" 13 60 #load data
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