def _ve_demo(asia):
from Tkinter import Tk, Label, Frame, Button
from gPy.Utils import scrolled_frame
for cpt in asia.copy(True):
cpt *= 1
root = Tk()
top=scrolled_frame(root,yscroll=8000, height=40000)
windows = (Frame(top),Frame(top))
orders =(('VisitAsia', 'Tuberculosis', 'XRay', 'Dyspnea', 'Bronchitis',
'Smoking', 'TbOrCa'),
('TbOrCa', 'VisitAsia', 'Tuberculosis', 'XRay', 'Bronchitis',
'Smoking', 'Dyspnea'))
asias = (asia.copy(True),asia.copy(True))
for i in range(2):
model, window, order = asias[i], windows[i], orders[i]
window.pack()
for variable in order:
cpm = model.copy()
step = model.eliminate_variable(variable,trace=True)
prod_factor, message, hyperedges = step
colours = {}
for hyperedge in hyperedges:
colours[hyperedge] = 'blue'
Label(window,text = 'Eliminating '+ variable).pack()
cpm.gui_display(window,colours)
if message is not None:
fr = Frame(window)
fr.pack()
model[message].gui_main(fr,edit=False,bg='red').pack()
Button(fr,text='Remove message',command=fr.destroy).pack()
root.mainloop()
def general_grahams_demo(hg,width=400,height=300,
scrolled_width=1000,scrolled_height=40000,
xscroll=1000,yscroll=1000,**config):
"""Demo of Graham's algorithm"""
from Tkinter import Tk
from gPy.Utils import scrolled_frame
root=scrolled_frame(Tk(),width=scrolled_width,height=scrolled_height,
xscroll=xscroll,yscroll=yscroll)
hg.gui_grahams_algorithm(root,width=width,height=height,**config)
root.mainloop()
def join_forest_demo():
"""Display 2 join forests for Asia for 2 different variable orderings"""
from Tkinter import Toplevel, Label
from Utils import scrolled_frame, pretty_str_set
from Hypergraphs import JoinForest
top=scrolled_frame(Toplevel(),yscroll=500, height=400)
bottom=scrolled_frame(Toplevel(),yscroll=500, height=400)
as2 = asia.copy(True)
for cpt in as2:
cpt *= 1
as2.gui_display(top)
order1 = ('VisitAsia', 'Tuberculosis', 'XRay', 'Dyspnea', 'Bronchitis',
'Smoking', 'TbOrCa', 'Cancer')
order2 = ('TbOrCa', 'VisitAsia', 'Tuberculosis', 'XRay', 'Bronchitis',
'Smoking', 'Dyspnea', 'Cancer')
for order in (order1, order2):
ac = as2.copy()
jf = JoinForest(ac.hypergraph().make_decomposable2(order)[0])
jf._uforest.gui_display(bottom,pp_vertex=pretty_str_set,width=600,height=300)
Label(bottom,text=order).pack()
top.mainloop()
bottom.mainloop()
def cond_demo():
"""Show conditioning by deleting instantiations"""
from Tkinter import Tk
from gPy.Utils import scrolled_frame
as2 = asia.copy(True)
for cpt in as2:
cpt *= 1
root = Tk()
top=scrolled_frame(root,yscroll=5000, height=40000)
as2.gui_display(top)
as2.condition({'Smoking':['smoker']})
as2.gui_display(top)
root.mainloop()
def calibration_demo(width=400,height=300,
scrolled_width=40000,scrolled_height=40000,
xscroll=2000,yscroll=1000,**config):
"""Demo of join tree calibration"""
from gPy.Models import JFR
from Tkinter import Tk
from gPy.Utils import scrolled_frame
root=scrolled_frame(Tk(),width=scrolled_width,height=scrolled_height,
xscroll=xscroll,yscroll=yscroll)
jfr = JFR(asia.copy(),modify=True,
elimination_order=['VisitAsia','Tuberculosis','Smoking','Cancer',
'TbOrCa','XRay','Bronchitis','Dyspnea'])
jfr.gui_calibrate(root)
root.mainloop()
def asia_cpts():
"""Shows Asia BN: CPTs, DAG, CPTs as factors and moral graph"""
from Tkinter import Tk
from Utils import scrolled_frame
root=Tk()
top=scrolled_frame(root,yscroll=5000, height=4000)
as2 = asia.copy(True)
as2.gui_display(top)
as2.adg().gui_display(top,width=400,height=300)
for factor in as2:
factor *= 1
as2.gui_display(top)
as2.adg().moralise().gui_display(top,width=400,height=300)
root.mainloop()
def cluster_tree():
"""Displays cluster trees for 2 elimination orders for Asia BN"""
from Tkinter import Toplevel, Label
from Utils import scrolled_frame, pretty_str_set
top=scrolled_frame(Toplevel(),yscroll=500, height=400)
bottom=Toplevel()
for cpt in asia:
cpt *= 1
asia.gui_display(top)
order1 = ('VisitAsia', 'Tuberculosis', 'XRay', 'Dyspnea', 'Bronchitis',
'Smoking', 'TbOrCa')
order2 = ('TbOrCa', 'VisitAsia', 'Tuberculosis', 'XRay', 'Bronchitis',
'Smoking', 'Dyspnea')
for order in (order1, order2):
ac = asia.copy(True)
cf = ac.variable_elimination_trace(order)
cf.gui_display(bottom,pp_vertex=pretty_str_set,width=600,height=300)
Label(bottom,text=order).pack()
top.mainloop()
bottom.mainloop()
def _op_gui(lhs_f,rhs_f,op,op_str,title,root):
"""Generate a GUI to demonstrate e.g. multiplication of factors
@param lhs_f: Factor on LHS of operation
@type lhs_f: L{Parameters.Factor}
@param rhs_f: Factor on RHS of operation
@type rhs_f: L{Parameters.Factor}
@param op: The binary operation to apply to the factors (e.g. muliplication)
@type op: Binary operator
@param op_str: Textual representation of C{op}
@type op_str: String
@param title: Title for demo
@type title: String
@param root: Parent widget
@type root: Suitable Tkinter object, e.g. C{Tk}, C{Tkinter.Frame}
"""
f1, f2 = lhs_f*1, rhs_f*1
root.title('Factor %s' % title)
data = Tkinter.Frame(scrolled_frame(root))
data.pack()
prod_variables = f1.variables() | f2.variables()
f1exp = f1.copy().broadcast(prod_variables)
f2exp = f2.copy().broadcast(prod_variables)
result = op(f1,f2)
factors = [(f1,'',f2,'',''),
('=','','=','',''),
(f1exp,op_str,f2exp,'=',result)]
for r in range(3):
for c in range(5):
if r==1 or c == 1 or c==3 or (c==4 and r == 0):
widget = Tkinter.Label(data,text=factors[r][c])
widget.grid(row=r,column=c)
else:
widget = factors[r][c].gui_main(data, False, False)
widget.grid(row=r,column=c,sticky=Tkinter.NW)
button = Tkinter.Button(root,text='Done',command=root.destroy)
button.bind('<Return>', lambda event: root.destroy())
button.grid()
def max_card_search_demo(width=400,height=300,
scrolled_width=1000,scrolled_height=40000,
xscroll=1000,yscroll=1000,**config):
"""Demo of maximum cardinality search on the Asia moral graph and on
L{tarjan1}."""
from Tkinter import Tk
root1 = Tk()
from gPy.Utils import scrolled_frame
root=scrolled_frame(root1,width=scrolled_width,height=scrolled_height,
xscroll=xscroll,yscroll=yscroll)
root1.title("Maximum cardinality search demonstration")
asia.adg().moralise().gui_maximum_cardinality_search(root,
width=width,
height=height,
**config)
def m(set):
x = max(set)
set.remove(x)
return x
tarjan1.gui_maximum_cardinality_search(root,m,
width=width,
height=height,
**config)
root.mainloop()
from gPy.Examples import asia
from Tkinter import *
from gPy.Utils import scrolled_frame
for cpt in asia:
cpt *= 1
root = Tk()
top = scrolled_frame(root, yscroll=500, height=40000)
asia.gui_display(top)
asia.condition({'Smoking': ['smoker']})
asia.gui_display(top)
root.mainloop()
from gPy.Examples import asia
from Tkinter import *
from gPy.Utils import scrolled_frame, pretty_str_set
from gPy.Structures import JoinForest
top=scrolled_frame(Toplevel(),yscroll=500, height=400)
bottom=Toplevel()
for cpt in asia:
cpt *= 1
asia.gui_display(top)
order1 = ('VisitAsia', 'Tuberculosis', 'XRay', 'Dyspnea', 'Bronchitis',
'Smoking', 'TbOrCa', 'Cancer')
order2 = ('TbOrCa', 'VisitAsia', 'Tuberculosis', 'XRay', 'Bronchitis',
'Smoking', 'Dyspnea', 'Cancer')
for order in (order1, order2):
ac = asia.copy()
jf = JoinForest(ac.hypergraph().make_decomposable(order)[0])
jf._uforest.gui_display(bottom,pp_vertex=pretty_str_set,width=600,height=300)
Label(bottom,text=order).pack()
top.mainloop()
bottom.mainloop()
from gPy.Examples import asia
from Tkinter import *
from gPy.Utils import scrolled_frame
for cpt in asia:
cpt *= 1
asia.condition({'Bronchitis':['absent'],'XRay':['normal']})
root = Tk()
top=scrolled_frame(root,yscroll=500, height=40000)
windows = (Frame(top),Frame(top))
orders =(('VisitAsia', 'Tuberculosis', 'XRay', 'Dyspnea', 'Bronchitis',
'Smoking', 'TbOrCa'),
('TbOrCa', 'VisitAsia', 'Tuberculosis', 'XRay', 'Bronchitis',
'Smoking', 'Dyspnea'))
asias = (asia,asia.copy())
for i in range(2):
model, window, order = asias[i], windows[i], orders[i]
window.pack()
model.gui_display(window)
for variable in order:
model.eliminate_variable(variable)
Label(window,text = 'Eliminating '+ variable).pack()
model.gui_display(window)
root.mainloop()