def loadArrayStore(gui):
fn=''
try:
file=gui.ga.attrib('File')
dp, fn=os.path.split(file)
if not dp:
file=self.document.fileinformation["filename"]
dp=os.path.split(file)[0]
except:
dp=os.getcwd()
dlg=wx.FileDialog(gui, message="Select arraystore file", defaultDir=dp, defaultFile=fn, style=wx.OPEN)
dlg.CenterOnParent()
if dlg.ShowModal() == wx.ID_OK:
fname=dlg.GetPath()
else:
gui.report("Canceled File Load.")
return None
gui.report("Loading file %s" % fname)
pars=gui.ga.params()
w=len(pars._pars)+1
if gui.ga.attrib('EvalConditions'):
w+=int(gui.ga.attrib('EvalConditions'))
if not ast.verify(fname, w, minlength=1):
gui.report("File %s is not an appropriate arraystore (it is not an arraystore at all, it has the wrong width, or it is empty." % fname)
return None
return fname
def testManySteps(w, stfn, N): if not astore.verify(stfn, 23): astore.empty(stfn, 23) a=astore.ArrayStore(stfn, 'w') for i in range(N): if not i%100: print i z=randomStep() r=testStep(w, z) r=concatenate([z, array(r)]) a.append(r) if not r[0]<0: print i, r a.close()
def __init__(self, parent=None, opt=None):
BaseGui.__init__(self, parent, id=-1, title="Optimizer Analysis", menus = ["Data", "Units", "Analysis"], pycommand=True, height=6, memory=100000)
guicommands=[["Data","Load Data", self.load],
["Data", "Create Data Element", self.save],
["Data","----"],
["Data","Reload Analysis Module", self.bounce],
["Data","Quit", self.quit],
["Units", "Show", self.displayUnit],
["Units", "Assign", self.assign],
["Units", "Re-Evaluate", self.evalUnit]]
self.ga=opt
self.pars=opt.params()
self.condition={}
self.fillMenus(guicommands)
sizer = wx.BoxSizer(wx.VERTICAL)
self.tit = wx.StaticText(self.main, -1, 'No Algorithm')
sizer.Add(self.tit, 1, wx.GROW|wx.ALIGN_CENTRE|wx.ALL, 5)
self.sizeinf = wx.StaticText(self.main, -1, ' No Data ')
sizer.Add(self.sizeinf, 1, wx.GROW|wx.ALIGN_CENTRE|wx.ALL, 5)
self.stats = wx.StaticText(self.main, -1, ' -- ')
sizer.Add(self.stats, 1, wx.GROW|wx.ALIGN_CENTRE|wx.ALL, 5)
self.main.SetSizer(sizer)
self.main.SetAutoLayout(True)
sizer.Fit(self.main)
self.SetSize((600,200))
self.bounce()
self.np=len(self.pars._pars)
self.nunits=0
if opt.attrib('EvalConditions'):
self.hasEC=opt.attrib('EvalConditions')
else:
self.hasEC=0
storesize=self.np+1+self.hasEC
self.data=None
if ast.verify(opt.attrib('File'), storesize, 1):
self.ast=ast.ArrayStore(opt.attrib('File'), 'w')
else:
self.report("Optimizer File attribute does not refference a valid arraystore. You will need to load data by hand")
self.ast=None
self.showInfo()
def resume(self, fname=None):
'''Resume a run from stored data. This is an alternative to self.prep. If fname isn't specified it defaults to self.attrib("File").'''
self.initialize_vars()
if not fname:
fname=self.attrib("File")
if not ast.verify(fname, self._storesize):
self.report("can't resume. %s is not an appropriate storage file" % fname)
self.prep()
return
self._store=ast.ArrayStore(fname, 'w')
self._nunits = len(self._store)
fit=self._store.getColumn(0)
if self.attrib('Maximize'):
bid=argmin(fit)
else:
bid=argmin(fit)
self._best=(fit[bid], bid)
self.report("Resume complete. %i units. Best %.4f, Mean %.4f" % (self._nunits, self._best[0], self.fit.mean()))
self.setAttrib('File', fname)
