def loop(dt,itters,particles,file_name,domain,cross_sections):
file = open("number_densities.csv",'w+')
dsmc = DSMC(cross_sections)
for i in range(itters):
print('Started pusher')
pusher.push(particles,dt)
execute_boundary(particles,domain)
print('Started building octree')
tree = create_leafs(particles,domain)
print('Started dsmc')
first_leaf = tree.leafs[0]
_execute_next_level(first_leaf, dt, dsmc)
number_densities = diagnose(1000, domain.zmin, domain.zmax,particles,(domain.xmax - domain.xmin)*(domain.ymax - domain.ymin))
print('Stared writing number deinsities')
for density in number_densities:
file.write('{},'.format(density))
file.write('\n')
#print_praView_file(file_name,i,particles)
print('Itterartion {} complete'.format(i + 1))
print(40*"-")
file.close()
def main(rawargs):
args = get_parser().parse_args(rawargs)
if args.s3_path is not None:
scene_root = os.path.basename(args.s3_path)
args.local_path = scene_root
pusher.pull_scene(scene_root, args.local_path, verbose=args.verbose)
else:
if args.local_path is None:
print 'ERROR: Please specify one of --s3-path or --local-path'
sys.exit(1)
scene_root = os.path.basename(args.local_path)
upload = reprocess(scene_root, args.local_path, verbose=args.verbose)
if upload and args.s3_path:
scene_dict = {}
pusher.push(scene_root,
args.local_path,
scene_dict,
verbose=args.verbose,
overwrite=True)
if args.s3_path:
shutil.rmtree(args.local_path)
def process(source, scene_root, verbose=False, clean=False, list_file=None,
overwrite=False):
if pusher.check_existance(scene_root):
print 'Scene %s already exists on destination bucket.' % scene_root
if not overwrite:
return collect_missing_entry(scene_root, verbose, clean, list_file)
if verbose:
print 'Processing scene: %s' % scene_root
scene_dict = {}
local_tarfile = puller.pull(source, scene_root, scene_dict,
verbose=verbose)
local_dir = splitter.split(scene_root, local_tarfile, verbose=verbose)
scene_info.add_mtl_info(scene_dict, scene_root, local_dir)
thumbnailer.thumbnail(scene_root, local_dir, verbose=verbose)
scene_index_maker.make_index(scene_root, local_dir, verbose=verbose)
pusher.push(scene_root, local_dir, scene_dict, verbose=verbose, overwrite=overwrite)
if clean:
os.unlink(local_tarfile)
shutil.rmtree(local_dir)
if list_file:
scene_info.append_scene_line(list_file, scene_dict)
return scene_dict
def process(source,
scene_root,
verbose=False,
clean=False,
list_file=None,
overwrite=False):
if pusher.check_existance(scene_root):
print 'Scene %s already exists on destination bucket.' % scene_root
if not overwrite:
return collect_missing_entry(scene_root, verbose, clean, list_file)
if verbose:
print 'Processing scene: %s' % scene_root
scene_dict = {}
local_tarfile = puller.pull(source,
scene_root,
scene_dict,
verbose=verbose)
try:
local_dir = splitter.split(scene_root, local_tarfile, verbose=verbose)
except:
if source == 's3queue':
# Remove problematic scenes from the queue directory
puller_s3queue.clean_queued_tarfile(scene_root)
return
scene_info.add_mtl_info(scene_dict, scene_root, local_dir)
thumbnailer.thumbnail(scene_root, local_dir, verbose=verbose)
scene_index_maker.make_index(scene_root, local_dir, verbose=verbose)
pusher.push(scene_root,
local_dir,
scene_dict,
verbose=verbose,
overwrite=overwrite)
if clean:
os.unlink(local_tarfile)
shutil.rmtree(local_dir)
if list_file:
scene_info.append_scene_line(list_file, scene_dict)
return scene_dict
def main(rawargs):
args = get_parser().parse_args(rawargs)
if args.s3_path is not None:
scene_root = os.path.basename(args.s3_path)
args.local_path = scene_root
pusher.pull_scene(scene_root, args.local_path, verbose=args.verbose)
else:
if args.local_path is None:
print 'ERROR: Please specify one of --s3-path or --local-path'
sys.exit(1)
scene_root = os.path.basename(args.local_path)
upload = reprocess(scene_root, args.local_path, verbose=args.verbose)
if upload and args.s3_path:
scene_dict = {}
pusher.push(scene_root, args.local_path, scene_dict,
verbose=args.verbose, overwrite=True)
if args.s3_path:
shutil.rmtree(args.local_path)
arr2.append(row2)
arr3.append(row3)
arr4.append(row4)
c = c + 1
else:
vmList = pullVMList()
print(vmList)
print("abcdefshgduycfhbscnklkmlwes")
#df=pd.DataFrame(arr,columns=['date','month','year','day','usage'])
df = pd.DataFrame(
arr, columns=['date', 'month', 'year', 'day', 'usage1', 'usage2'])
print(df)
#os.system('python pusher.py')
if '1' in vmList:
df.to_csv('AppData_1.csv', index=False)
push('1')
#df=pd.DataFrame(arr2,columns=['date','month','year','day','usage'])
df = pd.DataFrame(
arr2, columns=['date', 'month', 'year', 'day', 'usage1', 'usage2'])
print(df)
#os.system('python pusher.py')
if '2' in vmList:
df.to_csv('AppData_2.csv', index=False)
push('2')
#df=pd.DataFrame(arr3,columns=['date','month','year','day','usage'])
df = pd.DataFrame(
arr3, columns=['date', 'month', 'year', 'day', 'usage1', 'usage2'])
print(df)
#os.system('python pusher.py')
