import time import numpy import copy import math import sys import wx from data_util.calcthread import CalcThread class CalcChisqr1D(CalcThread): """ Compute chisqr """ def __init__(self, x, y,dy, model, smearer=None, qmin=None, qmax=None, completefn = None, updatefn = None, yieldtime = 0.01, worktime = 0.01 ): CalcThread.__init__(self,completefn, updatefn, yieldtime, worktime) self.smearer =smearer self.y = numpy.array(y) self.x = numpy.array(x) self.dy= copy.deepcopy(dy) self.model = model self.qmin = qmin self.qmax = qmax self.smearer = smearer self.starttime = 0 def isquit(self): """ @raise KeyboardInterrupt: when the thread is interrupted """ try: CalcThread.isquit(self) except KeyboardInterrupt: raise KeyboardInterrupt def compute(self): """ Compute the data given a model function """ self.starttime = time.time() x,y = [numpy.asarray(v) for v in (self.x,self.y)] if self.dy==None or self.dy==[]: self.dy= numpy.zeros(len(self.y)) self.dy[self.dy==0]=1 if self.qmin==0.0 and not numpy.isfinite(self.y[self.qmin]): self.qmin = min(self.x[sel.x!=0]) elif self.qmin==None: self.qmin= min(self.x) if self.qmax==None: self.qmax= max(self.x) fx = numpy.zeros(len(self.x)) output= None res=[] try: for i_x in range(len(self.x)): # Check whether we need to bail out self.isquit() fx[i_x]=self.model.run(self.x[i_x]) if self.smearer!=None: fx= self.smearer(fx) for i_y in range(len(fx)): # Check whether we need to bail out self.isquit() temp=(self.y[i_y] - fx[i_y])/self.dy[i_y] res.append(temp*temp) #sum of residuals sum=0 for item in res: # Check whether we need to bail out self.isquit() if numpy.isfinite(item): sum +=item output = sum/ len(res) elapsed = time.time()-self.starttime self.complete(output= output, elapsed=elapsed) except KeyboardInterrupt: # Thread was interrupted, just proceed and re-raise. # Real code should not print, but this is an example... raise except: raise class CalcChisqr2D(CalcThread): """ Compute chisqr """ def __init__(self, x_bins, y_bins,data,err_data, model, qmin, qmax, completefn = None, updatefn = None, yieldtime = 0.01, worktime = 0.01 ): CalcThread.__init__(self,completefn, updatefn, yieldtime, worktime) self.y_bins = y_bins self.x_bins = x_bins self.data= data self.err_data= copy.deepcopy(err_data) self.model = model self.qmin = qmin self.qmax = qmax self.starttime = 0 def isquit(self): """ @raise KeyboardInterrupt: when the thread is interrupted """ try: CalcThread.isquit(self) except KeyboardInterrupt: raise KeyboardInterrupt def compute(self): """ Compute the data given a model function """ self.starttime = time.time() if self.model ==None: return if self.data==None: return if self.err_data==None or self.err_data==[]: self.err_data= numpy.zeros(len(self.x_bins),len(self.y_bins)) self.err_data[self.err_data==0]=1 output= None res=[] try: for i in range(len(self.x_bins)): # Check whether we need to bail out self.isquit() for j in range(len(self.y_bins)): #Check the range containing data between self.qmin_x and self.qmax_x value = math.pow(self.x_bins[i],2)+ math.pow(self.y_bins[j],2) if value >= math.pow(self.qmin,2) and value <= math.pow(self.qmax,2): temp = [self.x_bins[i],self.y_bins[j]] error= self.err_data[j][i] chisqrji = (self.data[j][i]- self.model.runXY(temp ))/error #Vector containing residuals res.append( math.pow(chisqrji,2) ) sum=0 for item in res: # Check whether we need to bail out self.isquit() if numpy.isfinite(item): sum +=item output = sum/ len(res) elapsed = time.time()-self.starttime self.complete(output= output, elapsed=elapsed) except KeyboardInterrupt: # Thread was interrupted, just proceed and re-raise. # Real code should not print, but this is an example... raise