Update MI_Main.py

code/MI_Main.py

@@ -3,62 +3,56 @@
 import params as pp
 import MI_Driver as X
 import multiprocessing
-from multiprocessing import freeze_support
 import os
 
-def main():
-   edat = pp.eos_name+'/'
-   eosnm = pp.eos_name.lower()+'.dat'
-
-   #Initial Conditions
-   V0 = 2*pp.a0*pp.r_core
-   H0 = pp.a0*(pp.r_core**2)
-
-
-   t1 = time.time() #To obtain the execution time
-   rhos = np.arange(pp.min_cd,pp.max_cd,pp.steps) 
-
-   if not os.path.exists('../output/'+edat):
-      os.makedirs('../output/'+edat)
-
-   fname = '../output/'+edat+'MoIL.dat' #Path where the outputs will be stored
-   f = open(fname,'w')
-
-   #Function to implement multiprocessing and use the driver module
-   def task(m):
-       r,P,M,rho,V,H,J = X.rk4_driver(pp.h_start,m*1e17,V0,H0)
-       #Write even core densities to file
-       #if iter==7:
-        #   X.write_PMR(r,M,P,rho,m)
-         #  iter = 10
-      # elif iter%10==0 and iter!=0:
-       #    X.write_PMR(r,M,P,rho,m)
-       #iter+=1
-       C = X.yC(r,V,H,M)[1]
-       k2v = X.k2(r,V,H,M)
-       l = X.lmbd(r,V,H,M)
-       L = X.LMBD(r,V,H,M)
-
-       return m,M[-1]/pp.Ms,r[-1]/1e3,C,k2v,l,L,X.I(J[-1],r[-1])
-
-
-   with multiprocessing.Pool() as pool:
-       res = pool.map(task,rhos)
-       for x in res:
-           rho1 = float(x[0])
-           M1 = float(x[1])
-           r1 = float(x[2])
-           L1 = float(x[6])
-           I1 = float(x[7])
-           # Writes Mass (Solar Mass), Radius(Km), \Lambda, Moment of Inertia (kg m^2) to the file for the specified range of core densities.
-           f.write(str(M1)+','+str(r1)+','+str(L1)+','+str(I1)+'\n')
-
-   f.close()
-   t2 = time.time()
-   t = (t2-t1)/3600
+edat = pp.eos_name+'/'
+eosnm = pp.eos_name.lower()+'.dat'
+
+#Initial Conditions
+V0 = 2*pp.a0*pp.r_core
+H0 = pp.a0*(pp.r_core**2)
+
+
+t1 = time.time() #To obtain the execution time
+rhos = np.arange(pp.min_cd,pp.max_cd,pp.steps) 
+
+if not os.path.exists('../output/'+edat):
+   os.makedirs('../output/'+edat)
+
+fname = '../output/'+edat+'MoIL.dat' #Path where the outputs will be stored
+f = open(fname,'w')
+
+#Function to implement multiprocessing and use the driver module
+def task(m):
+    r,P,M,rho,V,H,J = X.rk4_driver(pp.h_start,m*1e17,V0,H0)
+    #Write even core densities to file
+    #if iter==7:
+     #   X.write_PMR(r,M,P,rho,m)
+      #  iter = 10
+   # elif iter%10==0 and iter!=0:
+    #    X.write_PMR(r,M,P,rho,m)
+    #iter+=1
+    C = X.yC(r,V,H,M)[1]
+    k2v = X.k2(r,V,H,M)
+    l = X.lmbd(r,V,H,M)
+    L = X.LMBD(r,V,H,M)
+
+    return m,M[-1]/pp.Ms,r[-1]/1e3,C,k2v,l,L,X.I(J[-1],r[-1])
 
-   print(t,'Hours')
-   return 0
 if __name__ == "__main__":
-   freeze_support()
-   main()
+   with multiprocessing.Pool() as pool:
+      res = pool.map(task,rhos)
+      for x in res:
+         rho1 = float(x[0])
+         M1 = float(x[1])
+         r1 = float(x[2])
+         L1 = float(x[6])
+         I1 = float(x[7])
+         # Writes Mass (Solar Mass), Radius(Km), \Lambda, Moment of Inertia (kg m^2) to the file for the specified range of core densities.
+         f.write(str(M1)+','+str(r1)+','+str(L1)+','+str(I1)+'\n')
+
+f.close()
+t2 = time.time()
+t = (t2-t1)/3600
+
+print(t,'Hours')