def validation_code(name,param,output,xmlname,val_param,val_depend,precision,pathD):
result=1
for out in output:
if len(out.getDependencies())==0:
print "[Validation] error : no dependencies..."
break
depend=out.getDependencies()[0]
func=out.getFuncs()[0]
data=[]
for val_dep in val_depend[depend]:
list_param=[]
val=[]
for par in param:
if (par.getName()!=depend):
list_param.append(par.getName())
val.append(val_param[par.getName()][0])
else:
list_param.append(par.getName())
val.append(val_dep)
par_depend=par
data.append(xmlParser.parse_xml_result(xmlname,name,list_param,val,out.getName()))
data=map(float,data)
val=map(float,val_depend[depend])
data_temp=[val,data]
temp=error.validation(data_temp,func,depend,precision)
result=temp and result
nb_decimal=len(str(precision))-1
#Transformation des donnees pour affichage graphique
data2=error.changedata(data_temp,func)
func2=error.changefunc(func)
data3 = error.fit(data2[0],data2[1])
#On veut un certain nombre de chiffres significatifs pour les estimations
#bo abscisse a l'origine et b1 pente
b0=str(decimal.Decimal(str(round(exp(data3[1][0]),nb_decimal))))
b1=str(decimal.Decimal(str(round(data3[1][1],nb_decimal))))
#On teste si le parametre variable contient une description latex
if (par_depend.getAttrNames().count("latex")):
chaine=par_depend.getAttrValues()[3]
func=func.replace(par_depend.getName(),par_depend.getAttrValues()[3])
else:
chaine=depend
#On teste le nombre de log appliques a la fonction
#Permet de mettre les bons titres aux axes et de rappliquer un log aux donnees si besoin
if ((func2.count("log")-func.count("log"))==2):
debut_log="log(log("
fin_log="))"
data_temp=[data_temp[0],log(data_temp[1])]
interp="exp(chaine+**{"+b1+"})"
else:
debut_log="log("
fin_log=")"
interp=chaine+"**{"+b1+"}"
a=float(exp(data3[1][0]))
b=float(data3[1][1])
graph = displayGraphics.graphBuilder(name+" (generated on "+datetime.datetime.now().strftime("%d/%m/%Y %H:%M:%S)"),3,0,"log(x)","log(y)")
graph.addTriangle(func.split("**")[-1],b1)
graph.addFunction("y(x)="+func.replace(par_depend.getName(),'x'),"theoritical",color.rgb.red)
graph.addFunction("y(x)="+str(a)+"*x**"+str(b),"practical",color.rgb.blue)
graph.addPoints(data_temp,"data")
graph.addInfo("$"+str(out.getAttrValues()[2])+"$"+" : "+"$"
+str(chaine)+"$"+"$\longrightarrow$"+"$"+func.replace("**","^")+"$",
"Interpolated : "+"$"+str(chaine)+"$"
+"$\longrightarrow$"+"$"+interp.replace("**","^")+"$",
temp,precision)
print("[Validation] : writing "+ pathD+out.getName()+".pdf")
graph.writePDFfile(pathD+out.getName())
return result
def validation_code(name, param, output, xmlname, val_param, val_depend,
precision, pathD):
result = 1
for out in output:
if len(out.getDependencies()) == 0:
print "[Validation] error : no dependencies..."
break
depend = out.getDependencies()[0]
func = out.getFuncs()[0]
data = []
for val_dep in val_depend[depend]:
list_param = []
val = []
for par in param:
if (par.getName() != depend):
list_param.append(par.getName())
val.append(val_param[par.getName()][0])
else:
list_param.append(par.getName())
val.append(val_dep)
par_depend = par
data.append(
xmlParser.parse_xml_result(xmlname, name, list_param, val,
out.getName()))
data = map(float, data)
val = map(float, val_depend[depend])
data_temp = [val, data]
temp = error.validation(data_temp, func, depend, precision)
result = temp and result
nb_decimal = len(str(precision)) - 1
#Transformation des donnees pour affichage graphique
data2 = error.changedata(data_temp, func)
func2 = error.changefunc(func)
data3 = error.fit(data2[0], data2[1])
#On veut un certain nombre de chiffres significatifs pour les estimations
#bo abscisse a l'origine et b1 pente
b0 = str(decimal.Decimal(str(round(exp(data3[1][0]), nb_decimal))))
b1 = str(decimal.Decimal(str(round(data3[1][1], nb_decimal))))
#On teste si le parametre variable contient une description latex
if (par_depend.getAttrNames().count("latex")):
chaine = par_depend.getAttrValues()[3]
func = func.replace(par_depend.getName(),
par_depend.getAttrValues()[3])
else:
chaine = depend
#On teste le nombre de log appliques a la fonction
#Permet de mettre les bons titres aux axes et de rappliquer un log aux donnees si besoin
if ((func2.count("log") - func.count("log")) == 2):
debut_log = "log(log("
fin_log = "))"
data_temp = [data_temp[0], log(data_temp[1])]
interp = "exp(chaine+**{" + b1 + "})"
else:
debut_log = "log("
fin_log = ")"
interp = chaine + "**{" + b1 + "}"
a = float(exp(data3[1][0]))
b = float(data3[1][1])
graph = displayGraphics.graphBuilder(
name + " (generated on " +
datetime.datetime.now().strftime("%d/%m/%Y %H:%M:%S)"), 3, 0,
"log(x)", "log(y)")
graph.addTriangle(func.split("**")[-1], b1)
graph.addFunction("y(x)=" + func.replace(par_depend.getName(), 'x'),
"theoritical", color.rgb.red)
graph.addFunction("y(x)=" + str(a) + "*x**" + str(b), "practical",
color.rgb.blue)
graph.addPoints(data_temp, "data")
graph.addInfo(
"$" + str(out.getAttrValues()[2]) + "$" + " : " + "$" +
str(chaine) + "$" + "$\longrightarrow$" + "$" +
func.replace("**", "^") + "$",
"Interpolated : " + "$" + str(chaine) + "$" + "$\longrightarrow$" +
"$" + interp.replace("**", "^") + "$", temp, precision)
print("[Validation] : writing " + pathD + out.getName() + ".pdf")
graph.writePDFfile(pathD + out.getName())
return result
print(data2)
print(func2)
data3=error.slope_calc(data,func)
print(data3)
#V1 affichage sans utiliser nos fonctions
c=canvas.canvas()
g=c.insert(graph.graphxy(width=8,
x=graph.axis.log(min=1, max=10),
y=graph.axis.linear(min=1, max=10)))
g.plot([graph.data.list(array([data[0],log(data[1])]).transpose(), x=1,y=2,)],[graph.style.symbol()])
g.plot([graph.data.list(array([data[0],error.peval(data2[0],data3)]).transpose(), x=1, y=2,)],[graph.style.line([color.rgb.red])])
g.plot([graph.data.function('y(x)='+func2)],[graph.style.line([color.rgb.blue])])
g.writePDFfile("plot")
print(error.validation(data,func,0.01))
#V2 affichage en utilisant nos fonctions
h=displayGraphics.create_graph_XlogYlin(8,1,10,1,10)
displayGraphics.plotPointsXlinYlog(h,data)
displayGraphics.plotLinesXlinYlin(h,data[0],error.peval(data2[0],data3),color.rgb.red)
displayGraphics.plotFunction(h,func2,color.rgb.blue)
h.writePDFfile("plot2")
g.plot(
[graph.data.list(
array([data[0], log(data[1])]).transpose(),
x=1,
y=2,
)], [graph.style.symbol()])
g.plot([
graph.data.list(
array([data[0], error.peval(data2[0], data3)]).transpose(),
x=1,
y=2,
)
], [graph.style.line([color.rgb.red])])
g.plot([graph.data.function('y(x)=' + func2)],
[graph.style.line([color.rgb.blue])])
g.writePDFfile("plot")
print(error.validation(data, func, 0.01))
#V2 affichage en utilisant nos fonctions
h = displayGraphics.create_graph_XlogYlin(8, 1, 10, 1, 10)
displayGraphics.plotPointsXlinYlog(h, data)
displayGraphics.plotLinesXlinYlin(h, data[0], error.peval(data2[0], data3),
color.rgb.red)
displayGraphics.plotFunction(h, func2, color.rgb.blue)
h.writePDFfile("plot2")