a

[desynchronisation-controle.git] / exp_controle_asynchrone / simulMWSN.py

diff --git a/exp_controle_asynchrone/simulMWSN.py b/exp_controle_asynchrone/simulMWSN.py
index 41e82c6a51cf30798f28684d5f2fdc117dc37b85..43083c421637702845cc060374eca0fd7a7afb95 100644 (file)
--- a/exp_controle_asynchrone/simulMWSN.py
+++ b/exp_controle_asynchrone/simulMWSN.py
@@ -9,12 +9,14 @@ from copy import deepcopy
 import sys as sy
 import cv as cv
 import cv2 as cv2 
 import sys as sy
 import cv as cv
 import cv2 as cv2 

-error  = 0.1
+
+errorq  = 0.1
+errorD  = 1E-5

 epsilon = 1E-10
 vrate = 0.8
 p = 0.7
 coteCarre = 50
 epsilon = 1E-10
 vrate = 0.8
 p = 0.7
 coteCarre = 50

-distanceEmmissionMax = 20
+distanceEmmissionMax = 30

 nbiter = 1000
 POS = 1
 POS_NUL = 2
 nbiter = 1000
 POS = 1
 POS_NUL = 2


@@ -105,13 +107,13 @@ G.add_weighted_edges_from(lg)
 #nx.draw(G)
 #pb.show()
 
 #nx.draw(G)
 #pb.show()
 

-(G,l) = genereGraph()
+#(G,l) = genereGraph()

 N = G.nodes()
 #V = list(set(sample(N,int(len(N)*vrate)))-set([sink]))
 V = list(set(N)-set([sink]))
 source = V
 print "source",source
 N = G.nodes()
 #V = list(set(sample(N,int(len(N)*vrate)))-set([sink]))
 V = list(set(N)-set([sink]))
 source = V
 print "source",source

-afficheGraph(G,l,500,500,sink)
+#afficheGraph(G,l,500,500,sink)

 #nx.draw(G)
 #pb.show()
 
 #nx.draw(G)
 #pb.show()
 


@@ -428,7 +430,7 @@ def maj(k,maj_theta,mxg,idxexp):
 
     #AfficheVariation(up,vp,lap,wp,thetap,etap,qp,Psp,Rhp,xp,valeurFonctionDualep)
 
 
     #AfficheVariation(up,vp,lap,wp,thetap,etap,qp,Psp,Rhp,xp,valeurFonctionDualep)
 

-    arret = abs(valeurFonctionDuale-valeurFonctionDualep) < error
+    arret = abs(valeurFonctionDuale-valeurFonctionDualep) 

 
     return (up,vp,lap,wp,thetap,etap,qp,Psp,Rhp,xp,valeurFonctionDualep,arret,mxg,smax)
 
 
     return (up,vp,lap,wp,thetap,etap,qp,Psp,Rhp,xp,valeurFonctionDualep,arret,mxg,smax)
 


@@ -520,7 +522,6 @@ def initialisation_():
 
 def __evalue_maj_theta__(nbexp,out=False):
     global u, v, la, w, theta , q,  Ps, Rh,  eta, x, valeurFonctionDuale 
 
 def __evalue_maj_theta__(nbexp,out=False):
     global u, v, la, w, theta , q,  Ps, Rh,  eta, x, valeurFonctionDuale 

-    nbexp = 10

     res = {}
     m = []
     itermax = 100000
     res = {}
     m = []
     itermax = 100000


@@ -529,6 +530,7 @@ def __evalue_maj_theta__(nbexp,out=False):
         mem = []
         om = omega/(mt.pow(k,0.75))
         return om
         mem = []
         om = omega/(mt.pow(k,0.75))
         return om

+    liste_arret=[]

     for idxexp in range(nbexp):
         mxg = 0
         if not(out):
     for idxexp in range(nbexp):
         mxg = 0
         if not(out):


@@ -539,24 +541,31 @@ def __evalue_maj_theta__(nbexp,out=False):
         k = 1
         arret = False
         sm = 0
         k = 1
         arret = False
         sm = 0

+        err, ar = 0,0

         while k < itermax  and not arret : 
             (u,v,la,w,theta,eta,q,Ps,Rh,x,valeurFonctionDuale,ar,mxg,smax)=maj(k,__maj_theta,mxg,idxexp)
         while k < itermax  and not arret : 
             (u,v,la,w,theta,eta,q,Ps,Rh,x,valeurFonctionDuale,ar,mxg,smax)=maj(k,__maj_theta,mxg,idxexp)

-            errorq =  (max(q.values()) - min(q.values()))/min(q.values())
-            arret = errorq <  error
+            err =  (max(q.values()) - min(q.values()))/min(q.values())
+            
+            arret = err <  errorq or ar < errorD

             k+=1
             variation = "+" if smax > sm else "-"
             k+=1
             variation = "+" if smax > sm else "-"

-            print variation,
-            if k%100 ==0 :
-                print "k:",k,"erreur sur q", errorq, "et q:",q
-                print "maxg=", mxg
+            if out : print variation,
+            if k%500 ==0 :
+                print "k:", k, 
+                "erreur sur q", 
+                errorq, "erreur sur F", ar, "et q:", q
+
+                if out : print "maxg=", mxg

                 mem = [deepcopy(q),deepcopy(Ps),deepcopy(Rh),deepcopy(eta),
                        deepcopy(x),deepcopy(u),deepcopy(v),deepcopy(la),deepcopy(w)]
                 mem = [deepcopy(q),deepcopy(Ps),deepcopy(Rh),deepcopy(eta),
                        deepcopy(x),deepcopy(u),deepcopy(v),deepcopy(la),deepcopy(w)]

+            """

             if k%4500 == 0 :
             if k%4500 == 0 :

-                print "#########\n",mem,"\#########\n"
+                
+                #print "#########\n",mem,"\#########\n"

             if k%4600 == 0 :
             if k%4600 == 0 :

-                print "#########\n",mem,"\#########\n"
-
-
+                #print "#########\n",mem,"\#########\n"
+            """
+                

 
             if smax - sm  > 500:
                 print "variation trop grande"
 
             if smax - sm  > 500:
                 print "variation trop grande"


@@ -564,20 +573,23 @@ def __evalue_maj_theta__(nbexp,out=False):
                 print init
                 exit 
             sm = smax
                 print init
                 exit 
             sm = smax

-
+        

         if k == itermax:
             print "nbre d'iteration trop grand"
             print "init"
             print init
             sy.exit(1)
         if k == itermax:
             print "nbre d'iteration trop grand"
             print "init"
             print init
             sy.exit(1)

+        else :
+            liste_arret += [(err, ar,k,errorD)]

 
         print "###############"
         print k
         print "###############"
         m += [k]
 
         print "###############"
         print k
         print "###############"
         m += [k]

-
-    print (min(m),max(m),float(sum(m))/nbexp,m),m
-
+ 
+    #print liste_arret    
+    #print (min(m),max(m),float(sum(m))/nbexp,m),m
+    return liste_arret

 
 
 def __une_seule_exp__(fichier_donees):
 
 
 def __une_seule_exp__(fichier_donees):


@@ -638,8 +650,13 @@ def __une_seule_exp__(fichier_donees):
 
 
 ASYNC = False
 
 
 ASYNC = False

-__une_seule_exp__("config_initiale.py")
-#__evalue_maj_theta__()
+#__une_seule_exp__("config_initiale.py")
+listederes=[]
+for k in list(np.logspace(-6, -3, num=15)):
+    errorD = k
+    listederes += __evalue_maj_theta__(5)
+    
+print listederes

 #ASYNC = True
 #taux_succes = 0.9
 #__evalue_maj_theta__()
 #ASYNC = True
 #taux_succes = 0.9
 #__evalue_maj_theta__()


@@ -647,7 +664,7 @@ __une_seule_exp__("config_initiale.py")
 
 
 
 
 
 

-
+"""

 print "u",u
 print "v",v
 print "lambda",la
 print "u",u
 print "v",v
 print "lambda",la


@@ -660,7 +677,7 @@ print "Rh",Rh
 print "x",x
 print "L",valeurFonctionDuale
 
 print "x",x
 print "L",valeurFonctionDuale
 

-
+"""

 
 # relation ente les variables primaires et secondaires ?
 
 
 # relation ente les variables primaires et secondaires ?