def obj_func(xdict):
global dia
global tsr
global solidity
global Cp
global dens
global velf
global funcs
Vars = xdict['xvars']
x = xdict['xvars']
y = xdict['yvars']
funcs = {}
veleff = np.zeros_like(x)
power_turb = np.zeros_like(x)
for i in range(np.size(x)):
xp = np.delete(x,i)
yp = np.delete(y,i)
diap = np.delete(dia,i)
tsrp = np.delete(tsr,i)
solidityp = np.delete(solidity,i)
veleff[i] = overlap(xp,yp,diap,tsrp,solidityp,x[i],y[i],dia[i],velf,True,False)
power_turb[i] = powerval(Cp,dens,veleff[i],dia[i])
# print i+1
power = np.sum(power_turb)
print power
funcs['obj'] = (-1.0*power)
sep = sep_func(np.append(x,y))
funcs['sep'] = sep
funcs['veleff'] = veleff
funcs['power_turb'] = power_turb
fail = False
return funcs, fail
plt.xlim(points[0]-spacing*area,points[-1]+spacing*area)
plt.ylim(points[0]-spacing*area,points[-1]+spacing*area)
if contour == True:
N = 10
xplot = np.linspace(points[0]-spacing*area,points[-1]+spacing*area,N)
yplot = np.linspace(points[0]-spacing*area,points[-1]+spacing*area,N)
[X,Y] = np.meshgrid(xplot,yplot)
Vel = np.zeros((N,N))
k = 0
for i in range(N):
for j in range(N):
Vel[i,j] = overlap(xf,yf,dia,tsr,solidity,X[i,j],Y[i,j],turb_dia,velf,True,False)
k += 1
print k
plt.figure(2)
lb = 0.0 # lower bound on velocity to display
ub = velf # upper bound on velocity to display
ran = 200 # number of contours between the velocity bounds
bounds = np.linspace(lb,ub,ran)
v = np.linspace(lb,ub,4) # setting the number of tick marks on colorbar
CS = plt.contourf(X,Y,Vel,ran,vmax=ub,vmin=lb,levels=bounds,cmap=plt.cm.jet) # plotting the contour plot
CB = plt.colorbar(CS, ticks=v) # creating colorbar
for i in range(np.size(xt)):
circ = plt.Circle((xt[i],yt[i]),dia[i]/2.,color='g',edgecolor='k',fill=True)
plt.gca().add_patch(circ)
