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cfl.py
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121 lines (107 loc) · 4.35 KB
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import numpy as np
import sys
import os
import dataset
from pathlib import Path
import h5py
import pyvista as pv
import vtk
import h5py
import csv
import math
import multiprocessing as mp
def get_lmnt_dx(dd):
dx=[]
for ndx in range(dd.mesh.n_cells):
element = dd.mesh.get_cell(ndx)
if element.dimension<3:
continue
else:
dmax = np.array([element.bounds[1],element.bounds[3],element.bounds[5]])
dmin = np.array([element.bounds[0],element.bounds[2],element.bounds[4]])
d = dmax-dmin
dx.append(d) #max-min
dd.dx = np.asarray(dx) #m
def get_dt(dd, id_list,output):
dt_min = 100000000
for i in id_list:
dd.mesh.point_data['v'] = dd(i,'u') #m/s
dd.mesh=dd.mesh.point_data_to_cell_data()
dt_new = np.abs(dd.dx/dd.mesh.cell_data['v'])
#print(dt_new.shape)
dt_new_min = np.min(dt_new)
if dt_new_min<dt_min:
dt_min=dt_new_min
output.put(dt_min)
if __name__=="__main__":
if len(sys.argv)>2:
if sys.argv[2]=='uul':
case=sys.argv[1]+'_uul'
folder = 'case_{}'.format(sys.argv[1])
if sys.argv[1]=='A':
case_names = ['PTSeg028_uul_0p8','PTSeg028_uul_0p64','PTSeg028_uul_0p512','PTSeg028_uul_0p4096']
elif sys.argv[1]=='B':
case_names = ['PTSeg043_uul_0p8','PTSeg043_uul_0p64','PTSeg043_uul_0p512','PTSeg043_uul_0p4096']
elif sys.argv[1]=='C':
case_names = ['PTSeg106_uul_0p8','PTSeg106_uul_0p64','PTSeg106_uul_0p512','PTSeg106_uul_0p4096']
elif sys.argv[2]=='base':
case=sys.argv[1]+'_base'
folder = 'case_{}'.format(sys.argv[1])
if sys.argv[1]=='A':
case_names = ['PTSeg028_base_0p8','PTSeg028_base_0p64','PTSeg028_base_0p512','PTSeg028_base_0p4096']
elif sys.argv[1]=='B':
case_names = ['PTSeg043_base_0p8','PTSeg043_base_0p64','PTSeg043_base_0p512','PTSeg043_base_0p4096']
elif sys.argv[1]=='C':
case_names = ['PTSeg106_base_0p8','PTSeg106_base_0p64','PTSeg106_base_0p512','PTSeg106_base_0p4096']
else:
case = sys.argv[1]
folder = '../mesh_rez/cases/case_{}'.format(sys.argv[1])
case_names = [ name for name in os.listdir(folder) if os.path.isdir(os.path.join(folder, name)) ]
outfolder='DPQ_files/case_{}'.format(case)
if not Path(outfolder).exists():
Path(outfolder).mkdir(parents=True, exist_ok=True)
if len(sys.argv)>2:
file = str(outfolder)+'/case_{}_CFL.csv'.format(case)
else:
file = str(outfolder)+'/case_{}_initial_CFL.csv'.format(sys.argv[1])
outfile = open(file, 'w', encoding='UTF8', newline='')
writer = csv.writer(outfile)
writer.writerow(['case_name','tsteps', 'req_tsteps'])
for case_name in case_names:
results = folder+'/'+ case_name + '/results/'
results_folder = Path((results + os.listdir(results)[0])) #results folder eg. results/art_
if len(sys.argv)>2:
seg_name = case_name
else:
seg_name = 'PTSeg'+case_name.split('_')[1]+'_'+case_name.split('_')[-1]
print(seg_name)
dd = dataset.Dataset(results_folder, case_name=case_name)
dd = dd.assemble_mesh()
#serial computation:
get_lmnt_dx(dd)
#break up the computation:
nps = 40
num = math.floor(len(dd.up_files)/(nps-1))
up_ids = []
for i in range(nps-1):
up_ids.append(range(i*num,(i+1)*num-1))
up_ids.append(range(nps*num,len(dd.up_files))) #the remaining ids
output = mp.Queue()
processes = [mp.Process(target=get_dt, args=(dd, up_ids[x], output)) for x in range(nps)]
# Run processes
for p in processes:
p.start()
dt_min=10000000000
# Exit the completed processes
for p in processes:
p.join()
dt_min = min(output.get(), dt_min)
req_tsteps=round(0.915/dt_min)
file_sh= open(folder+'/'+ case_name + '/'+ seg_name+'.sh',"r")
for line in file_sh.readlines():
if 'timesteps' in line:
tsteps = int(line.split('=')[-1])
#print(case_name,tsteps, dt_min, req_tsteps)
writer.writerow([case_name,tsteps, dt_min, req_tsteps])
outfile.flush()
outfile.close()