source: trunk/anuga_work/development/mem_time_tests/triangles/area/main.py @ 8328

#------------------------------------------------------------------------------
# Import necessary modules
#------------------------------------------------------------------------------
import anuga
import subprocess
import csv
import os
import time
import liststore
from anuga.abstract_2d_finite_volumes.util import add_directories
from anuga.utilities.log_analyser import analyse_log

#------------------------------------------------------------------------------
# Set up variables for the correct directories to store the output
#------------------------------------------------------------------------------
home = os.getenv('INUNDATIONHOME')
host = os.getenv('HOST')
scenariodir = add_directories(home, ["data","mem_time_test", "triangles","area"])
file1 = 'ex1.csv'
meta = 'metalog.csv'
meta_path = os.path.join(scenariodir, meta)
final = 'final.csv'
final_path = os.path.join(scenariodir, final)
storen ='storen.txt'
file_path_storen = os.path.join(scenariodir, storen)

#set up needed files
firstex1 = open(file_path, 'wb')
spamWriter = csv.writer(firstex1)
spamWriter.writerow(['Number of Triangles','Max Area(m^2)','Extent(m^2)' , 'Time Taken(s)','Space Used'])
e = open(file_path_storen,'a')
e.close()

# this is the main loops that assigns the maximum triangle area (m) and the map side length(l)

n = 4 #number of processors to use
for m in range(90,100,10):
     for l in range(100,2000,100):
                
        z = time.time()# time it

        #the different ways each host calls MPI properly
        if (host == 'cyclone.agso.gov.au'):
            subprocess.call(['mpirun', '-np', str(n), '-hostfile' ,'~/machinefiles/test.machines_cyclone', '-x','PYTHONPATH','-x','INUNDATIONHOME','python', 'runcairns.py',str(m),str(l)]) 
        if (host == 'tornado.agso.gov.au'):
            subprocess.call(['mpirun', '-np', str(n), '-hostfile' ,'~/machinefiles/test.machines_tornado', '-x','PYTHONPATH','-x','INUNDATIONHOME','python', 'runcairns.py',str(m),str(l)])
        if (host == 'vayu1'):
            subprocess.call(['mpirun', '-np', str(n), '-x','PYTHONPATH','-x','INUNDATIONHOME','python', 'runcairns.py',str(m),str(l)]) 
        if (host == 'rhe-compute1.ga.gov.au'):
            subprocess.call(['mpirun', '-np', str(n), '-x','PYTHONPATH','-x','INUNDATIONHOME','python2.6', 'runcairns.py',str(m),str(l)])    
        if (host == 'xe'):
            subprocess.call(['mpirun', '-np', str(n), '-x','PYTHONPATH','-x','INUNDATIONHOME','python', 'runcairns.py',str(m),str(l)]) 
       
        y = time.time()# time it

        # read the number of triangles from this file
        f = open(file_path_storen,'r+')
        i = float(f.readline())
        f.close()

        spamWriter.writerow([i,m,(l*l),'x' ,(y-z)])# record it

print 'Done'

analyse_log(scenariodir, os.path.join(scenariodir,'metalog.csv')) #get the memory usage from the log files

#close ex1.csv so we can read from it for a different csv reader object
firstex1.close()

#merge the metalog useful memory info and the ex1 recorded info into one csv file named final
ex1 = csv.reader(open(file_path,'rb'))
metalog = csv.reader(open(meta_path,'rb'))
final = csv.writer(open(final_path,'wb'))


for row in ex1:
    d = metalog.next()
    final.writerow([row[0],row[1],d[0],d[3],d[6],d[9],d[12]])#,d[15],d[18]])