/usr/share/pyshared/openopt/kernel/mfa.py is in python-openopt 0.38+svn1589-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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from numpy import inf, copy, abs, all, floor, log10, asfarray, asscalar, argsort
TkinterIsInstalled = True
try:
from Tkinter import Tk, Toplevel, Button, Entry, Menubutton, Label, Frame, StringVar, DISABLED, ACTIVE, END, IntVar, \
Radiobutton, Canvas, Image, PhotoImage
from tkFileDialog import asksaveasfilename, askopenfile
from tkMessageBox import showerror
except ImportError:
TkinterIsInstalled = False
xtolScaleFactor = 1e-5
class mfa:
filename = None # Python pickle file where to save results
x0 = None
solved = False
def startSession(self):
assert TkinterIsInstalled, '''
Tkinter is not installed.
If you have Linux you could try using
"apt-get install python-tk"'''
try:
import nlopt
except ImportError:
s = '''
To use OpenOpt multifactor analysis tool
you should have nlopt with its Python API installed,
see http://openopt.org/nlopt'''
print(s)
showerror('OpenOpt', s)
raw_input()
return
import os
hd = os.getenv("HOME")
self.hd = hd
root = Tk()
self.root = root
from openopt import __version__ as oover
root.wm_title(' OpenOpt %s Multifactor analysis tool for experiment planning ' % oover)
SessionSelectFrame = Frame(root)
SessionSelectFrame.pack(side='top', padx=230, ipadx = 40, fill='x', expand=True)
var = StringVar()
var.set('asdf')
Radiobutton(SessionSelectFrame, variable = var, text = 'New', indicatoron=0, \
command=lambda: (SessionSelectFrame.destroy(), self.create())).pack(side = 'top', fill='x', pady=5)
Radiobutton(SessionSelectFrame, variable = var, text = 'Load', indicatoron=0, \
command=lambda:self.load(SessionSelectFrame)).pack(side = 'top', fill='x', pady=5)
root.protocol("WM_DELETE_WINDOW", self.exit)
root.mainloop()
self.exit()
def create(self, S={}):
root = self.root
# #BackgroundFile = Image(file='/home/dmitrey/tmp_i/Backgd01.jpg')
# bgfile = '/home/dmitrey/tmp_i/Backgd01.gif'
# #bgfile = '/home/dmitrey/IP.png'
# BackgroundFile = PhotoImage(file=bgfile)
# #RootFrame.create_image(0, 0, image=BackgroundFile)
RootFrame = Canvas(root)#, image=BackgroundFile)
# RootFrame.create_image(0, 0, image=BackgroundFile)
# RootFrame.image = BackgroundFile
RootFrame.pack()
self.NameEntriesList, self.LB_EntriesList, self.UB_EntriesList, self.TolEntriesList, self.ValueEntriesList = [], [], [], [], []
self.calculated_points = S.get('calculated_points', {})
# Title
#root.wm_title(' FuncDesigner ' + fdversion + ' Manager')
C = Canvas(root)
""" Buttons """
Frame(RootFrame).pack(ipady=4)
#Label(root, text=' FuncDesigner ' + fdversion + ' ').pack()
# Upper Frame
UpperFrame = Frame(RootFrame)
UpperFrame.pack(side = 'top', expand=True, fill = 'x')
ProjectNameFrame = Frame(UpperFrame)#, relief = 'ridge', bd=2)
Label(ProjectNameFrame, text = 'Project name:').pack(side = 'left')
ProjectNameEntry = Entry(ProjectNameFrame)
ProjectNameEntry.pack(side = 'left')
self.ProjectNameEntry = ProjectNameEntry
ProjectNameFrame.pack(side = 'left')
GoalSelectFrame = Frame(UpperFrame, relief = 'ridge', bd=2)
GoalSelectText = StringVar(value = 'Goal:')
Label(GoalSelectFrame, textvariable = GoalSelectText).pack(side = 'left')
goal = StringVar()
r1 = Radiobutton(GoalSelectFrame, text = 'Minimum', value = 'min', variable=goal)
r1.pack(side = 'left')
r2 = Radiobutton(GoalSelectFrame, text = 'Maximum', value = 'max', variable=goal)
r2.pack(side = 'left')
goal.set('min')
GoalSelectFrame.pack(side = 'left', padx = 10)
self.goal = goal
ObjectiveToleranceFrame = Frame(UpperFrame, relief = 'ridge', bd=2)
ObjectiveToleranceFrame.pack(side='left')
Label(ObjectiveToleranceFrame, text='Objective function tolerance:').pack(side = 'left')
ObTolEntry = Entry(ObjectiveToleranceFrame)
ObTolEntry.pack(side='left')
self.ObTolEntry = ObTolEntry
# Variables Frame
varsRoot = Frame(RootFrame)
# Lower frame
LowerFrame = Frame(varsRoot)
LowerFrame.pack(side = 'bottom', expand=True, fill = 'x')
from webbrowser import open_new_tab
About = Button(LowerFrame, text = 'About', command = lambda: open_new_tab('http://openopt.org/MultiFactorAnalysis'))
About.pack(side='left')
SaveButton = Button(LowerFrame, text = 'Save', command = self.save)
SaveButton.pack(side='left', padx = 15)
SaveAsButton = Button(LowerFrame, text = 'Save As ...', command = self.save)
SaveAsButton.pack(side='left')
Write_xls_Button = Button(LowerFrame, text = 'Write xls report', command = self.write_xls_report)
Write_xls_Button.pack(side='left', padx = 15)
# PlotButton = Button(LowerFrame, text = 'Plot', command = lambda: Plot(C, self.prob))
# PlotButton.pack(side='left')
ExperimentNumber = IntVar()
ExperimentNumber.set(1)
self.ExperimentNumber = ExperimentNumber
ObjVal = StringVar()
ObjEntry = Entry(LowerFrame, textvariable = ObjVal)
self.ObjEntry = ObjEntry
NN = StringVar(LowerFrame)
NN_Label = Label(LowerFrame, textvariable = NN)
names, lbs, ubs, tols, currValues = \
Frame(varsRoot), Frame(varsRoot), Frame(varsRoot), Frame(varsRoot), Frame(varsRoot)
Label(names, text=' Variable Name ').pack(side = 'top')
Label(lbs, text=' Lower Bound ').pack(side = 'top')
Label(ubs, text=' Upper Bound ').pack(side = 'top')
Label(tols, text=' Tolerance ').pack(side = 'top')
ValsColumnName = StringVar()
ValsColumnName.set(' Initial Point ')
Label(currValues, textvariable=ValsColumnName).pack(side = 'top')
self.ValsColumnName = ValsColumnName
# Commands Frame
CommandsRoot = Frame(RootFrame)
CommandsRoot.pack(side = 'right', expand = False, fill='y')
AddVar = Button(CommandsRoot, text = 'Add Variable', command = \
lambda: self.addVar(names, lbs, ubs, tols, currValues))
AddVar.pack(side = 'top', fill='x')
Next = Button(CommandsRoot, text = 'Next', command = lambda: ExperimentNumber.set(ExperimentNumber.get()+1))
#Next.pack(side='bottom', fill='x')
names.pack(side = 'left', ipady=5)
lbs.pack(side = 'left', ipady=5)
ubs.pack(side = 'left', ipady=5)
tols.pack(side = 'left', ipady=5)
currValues.pack(side = 'left', ipady=5)
#currValues.pack_forget()
varsRoot.pack()
Start = Button(CommandsRoot, text = 'Start', \
command = lambda: (Start.destroy(), \
Next.pack(side='bottom', fill='x'),
#C.pack(side = 'bottom', expand=True, fill='both'),
r1.config(state=DISABLED),
r2.config(state=DISABLED),
ObTolEntry.config(state=DISABLED),
ObjEntry.pack(side='right', ipady=4),
NN_Label.pack(side='right'), \
self.startOptimization(root, varsRoot, AddVar, currValues, ValsColumnName, ObjEntry, ExperimentNumber, Next, NN,
goal.get(), float(ObTolEntry.get()), C)))
Start.pack(side = 'bottom', fill='x')
self.Start = Start
if len(S) != 0:
for i in range(len(S['names'])):
tmp = S['values'][i] if self.x0 is None else self.x0.split(' ')[i]
self.addVar(names, lbs, ubs, tols, currValues, S['names'][i], S['lbs'][i], S['ubs'][i], S['tols'][i], tmp)
else:
self.addVar(names, lbs, ubs, tols, currValues)
# for i in range(nVars):
# self.addVar(names, lbs, ubs, tols, currValues)
def addVar(self, names, lbs, ubs, tols, currValues, _name='', _lb='', _ub='', _tol='', _val=''):
nameEntry, lb, ub, tol, valEntry = Entry(names), Entry(lbs), Entry(ubs), Entry(tols), Entry(currValues)
nameEntry.insert(0, _name)
lb.insert(0, _lb)
ub.insert(0, _ub)
tol.insert(0, _tol)
valEntry.insert(0, _val)
self.NameEntriesList.append(nameEntry)
self.LB_EntriesList.append(lb)
self.UB_EntriesList.append(ub)
self.TolEntriesList.append(tol)
self.ValueEntriesList.append(valEntry)
nameEntry.pack(side = 'top')
lb.pack(side = 'top')
ub.pack(side = 'top')
tol.pack(side = 'top')
valEntry.pack(side = 'top')
def startOptimization(self, root, varsRoot, AddVar, currValues, \
ValsColumnName, ObjEntry, ExperimentNumber, Next, NN, goal, objtol, C):
AddVar.destroy()
ValsColumnName.set('Experiment parameters')
n = len(self.NameEntriesList)
Names, Lb, Ub, Tol, x0 = [], [], [], [], []
for i in range(n):
N, L, U, T, valEntry = \
self.NameEntriesList[i], self.LB_EntriesList[i], self.UB_EntriesList[i], self.TolEntriesList[i], self.ValueEntriesList[i]
N.config(state=DISABLED)
L.config(state=DISABLED)
U.config(state=DISABLED)
T.config(state=DISABLED)
#valEntry.config(state=DISABLED)
name, lb, ub, tol, val = N.get(), L.get(), U.get(), T.get(), valEntry.get()
Names.append(name)
x0.append(float(val))
Lb.append(float(lb) if lb != '' else -inf)
Ub.append(float(ub) if ub != '' else inf)
# TODO: fix zero
Tol.append(float(tol) if tol != '' else 0)
x0, Tol, Lb, Ub = asfarray(x0), asfarray(Tol), asfarray(Lb), asfarray(Ub)
x0 *= xtolScaleFactor / Tol
#self.x0 = copy(x0)
from openopt import NLP, oosolver
p = NLP(objective, x0, lb = Lb * xtolScaleFactor / Tol, ub=Ub * xtolScaleFactor / Tol)
self.prob = p
#calculated_points = [(copy(x0), copy(float(ObjEntry.get())))
p.args = (Tol, self, ObjEntry, p, root, ExperimentNumber, Next, NN, objtol, C)
#p.graphics.rate = -inf
#p.f_iter = 2
solver = oosolver('bobyqa', __cannotHandleExceptions__ = True)
p.solve(solver, iprint = 1, goal = goal)#, plot=1, xlabel='nf')
self.solved = True
if p.stopcase >= 0:
self.ValsColumnName.set('Best parameters')
NN.set('Best obtained objective value:')
#Next.config(state=DISABLED)
Next.destroy()
#reverse = True if goal == 'min' else False
calculated_items = self.calculated_points.items()
vals = [calculated_items[i][1] for i in range(len(calculated_items))]
ind = argsort(vals)
j = ind[0] if goal == 'min' else ind[-1]
key, val = calculated_items[j]
text_coords = key.split(' ')
for i in range(len(self.ValueEntriesList)):
self.ValueEntriesList[i].delete(0, END)
self.ValueEntriesList[i].insert(0, text_coords[i])
ObjEntry.delete(0, END)
obj_tol = self.ObTolEntry.get()
val = float(val) * 1e4 * objtol
ObjEntry.insert(0, str(val))
ObjEntry.config(state=DISABLED)
#print('Finished')
def Plot(C, p):
pass
#C.create_polygon()
# import os
# if os.fork():
# import pylab
# pylab.plot(p.iterValues.f)
# pylab.show()
def load(self, SessionSelectFrame):
file = askopenfile(defaultextension='.pck', initialdir = self.hd, filetypes = [('Python pickle files', '.pck')])
if file in (None, ''):
return
SessionSelectFrame.destroy()
import pickle
S = pickle.load(file)
if type(S['calculated_points']) == dict: # for backward compatibility
S['calculated_points'] = S['calculated_points'].items()
#S['goal']='max'
self.x0 = S.get('x0', None) # this line should be BEFORE self.create(S)
self.create(S)
self.ObTolEntry.insert(0, S['ObjTol'])
self.ProjectNameEntry.insert(0, S.get('ProjectName', ''))
self.goal.set(S['goal'])
self.ExperimentNumber.set(len(self.calculated_points))
if len(S['calculated_points']) != 0:
self.Start.invoke()
def save_as(self, filename=None):
if filename is None:
filename = asksaveasfilename(defaultextension='.pck', initialdir = self.hd, filetypes = [('Python pickle files', '.pck')])
if filename in (None, ''):
return
if not self.solved and self.ObjEntry.get() != '':
s = 'For the sake of more safety and some other circumstances saving with non-empty objective entry is forbidden'
print(s)
showerror('OpenOpt', s)
return
self.filename = filename
names = [s.get() for s in self.NameEntriesList]
lbs = [s.get() for s in self.LB_EntriesList]
ubs = [s.get() for s in self.UB_EntriesList]
tols = [s.get() for s in self.TolEntriesList]
values = [s.get() for s in self.ValueEntriesList]
goal = self.goal.get()
ObjTol = self.ObTolEntry.get()
calculated_points = self.calculated_points
ProjectName = self.ProjectNameEntry.get()
S = {'names':names, 'lbs':lbs, 'ubs':ubs, 'tols':tols, 'values':values, 'goal':goal, \
'ObjTol':ObjTol, 'calculated_points':calculated_points, 'ProjectName':ProjectName, 'x0':self.x0}
# TODO: handle exceptions
file = open(filename, "w")
import pickle
pickle.dump(S, file)
file.close()
save = lambda self: self.save_as(self.filename)
def write_xls_report(self):
try:
import xlwt
except ImportError:
s = '''To create xls reports
you should have xlwt installed,
see http://www.python-excel.org/
you could use easy_install xlwt (with admin rights)
also, in Linux you could use
[sudo] aptitude install python-xlwt
'''
print(s)
showerror('OpenOpt', s)
return
xls_file = asksaveasfilename(defaultextension='.xls', initialdir = self.hd, filetypes = [('xls files', '.xls')])
if xls_file in (None, ''):
return
wb = xlwt.Workbook()
ws = wb.add_sheet('OpenOpt factor analysis report')
ws.write(0, 0, 'Name')
ws.write(0, 1, self.ProjectNameEntry.get())
ws.write(1, 0, 'Goal')
ws.write(1, 1, self.goal.get())
ws.write(2, 0, 'Objective Tolerance')
ws.write(2, 1, self.ObTolEntry.get())
names = [s.get() for s in self.NameEntriesList]
lbs = [s.get() for s in self.LB_EntriesList]
ubs = [s.get() for s in self.UB_EntriesList]
tols = [s.get() for s in self.TolEntriesList]
ws.write(4, 0, 'Variable')
ws.write(5, 0, 'Lower Bound')
ws.write(6, 0, 'Upper Bound')
ws.write(7, 0, 'Tolerance')
for i in range(len(names)):
ws.write(4, i+1, names[i])
ws.write(5, i+1, float(lbs[i]))
ws.write(6, i+1, float(ubs[i]))
ws.write(7, i+1, float(tols[i]))
ws.write(9, 0, 'Exp number')
ws.write(9, len(names)+1, 'Objective')
# TODO: minor code cleanup
for i in range(len(self.calculated_points)):
key, val = self.calculated_points[i]
ws.write(10+i, 0, i+1)
coords = key.split()
for j, coordVal in enumerate(coords):
ws.write(10+i, j+1, float(coordVal))
ws.write(10+i, len(coords)+1, float(val))
wb.save(xls_file)
def exit(self):
try:
self.root.quit()
except:
pass
try:
self.root.destroy()
except:
pass
def objective(x, Tol, mfa, ObjEntry, p, root, ExperimentNumber, Next, NN, objtol, C):
#print 'in objective', x
Key = ''
Values = []
ValueEntriesList = mfa.ValueEntriesList
calculated_points = mfa.calculated_points
for i in range(x.size):
Format = '%0.9f' if Tol[i] == 0 else ('%0.' + ('%d' % (-floor(log10(Tol[i])))) + 'f') if Tol[i]<1 else '%d'
tmp = x[i] * Tol[i] / xtolScaleFactor
key = Format % tmp
Key += key + ' '
Values.append(key)
#print calculated_points
#print Key
if mfa.x0 is None: mfa.x0 = Key
if Key in dict(calculated_points): # TODO: rework it
return dict(calculated_points)[Key]
for i in range(x.size):
ValueEntriesList[i].delete(0, END)
ValueEntriesList[i].insert(0, Values[i])
NN.set('Enter experiment %i result:' % int(len(calculated_points)+1))
ObjEntry.delete(0, END)
root.wait_variable(ExperimentNumber)
r = float(ObjEntry.get())
# from scipy import rand
# r = abs(x[0]* Tol[0] / xtolScaleFactor-0.13) + abs(x[1]* Tol[1] /xtolScaleFactor-0.15) #+ 0.0001 * rand(1)
r *= 1e-4 / objtol
calculated_points.append((Key, asscalar(copy(r))))
# rr = []
# for i, val in enumerate(p.iterValues.f):
# rr.append(i)
# rr.append(val)
# rr.append(i+1)
# rr.append(r)
# if len(p.iterValues.f) > 1:
# C.create_line(*rr, fill = 'blue')
return r
MFA = lambda: mfa().startSession()
if __name__ == '__main__':
MFA()
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