def TimeEvolve(self,nsteps,comments,write=True):
self.cleanup = []
self.nsteps = nsteps
print("new eom")
t=0
##Get init_state
if self.use_state == None:
self.cleanup = []
self.state = np.copy(farts.make_initial_conditions2(self.start_particles,
self.M,
self.a(0)))
self.init_state = np.copy(self.state)
self.Nparticles = len(self.state)
else:
self.state = np.copy(self.init_state)
print("Got initial conditions for {} particles".format(self.start_particles))
primary = self.get_header(nsteps,comments)
frame0 = self.get_hdu()
filenum = farts.get_filenum(self.save_dir,self.start_particles)
self.dirname = "{}/nbody_{}_{}".format(self.save_dir,self.start_particles,filenum)
os.mkdir(self.dirname)
os.mkdir("{}/data".format(self.dirname))
hdulist = fits.HDUList([primary,frame0])
total_time = 0
savenums = nsteps/1000
for step in xrange(1, nsteps):
stepstart = time.time()
self.state = self.UpdateStateVectorRK4(t)
framen = self.get_hdu()
hdulist.append(framen)
t += self.dt
end = time.time()
steptime = end-stepstart
total_time += steptime
avg = total_time/step
perc = 100*((step+1)/nsteps)
sys.stdout.write('\rFrame {} of {} completed ({}%). Step: {}s, Total: {}s, Estimated time remaining: {}s. Nparticles: {}'.format(step+1,
nsteps,
'%0.1f'%perc,
'%0.4f'%steptime,
'%0.4f'%total_time,
'%i'%(((avg * nsteps)+1)-total_time),
'%i'%self.Nparticles))
sys.stdout.flush()
if step%1000 == 0:
if write == True:
print("\nWriting to disk...")
fname = "{}/data/{}.fits".format(self.dirname,step)
hdulist.writeto(fname,clobber=True)
print("Frames {} - {} written at {}".format(step-1000,step,fname))
hdulist = fits.HDUList([primary])
self.fname_list.append(fname)
if len(hdulist)!=1:
print("\nWriting to disk...")
fname = "{}/data/{}.fits".format(self.dirname,step)
hdulist.writeto(fname,clobber=True)
print("Frames {} written at {}".format(step+1,fname))
self.fname_list.append(fname)
print(self.state)
